Biellese vs Ligorna Statistics & Analysis

Sep 13, 2026 - 13:00
3 1.33
1 1.27
xG Accuracy: 59%
Nhà cái cao cấp stake: người mới có thể dùng mã khuyến mãi FHn2uDc1. Đăng ký ngay

Thị trường được theo dõi so với kết quả toàn thời gian

Mỗi hàng so sánh mô hình trước trận đấu với kết quả toàn thời gian.

  • Chợ Dự đoán Kết quả kết quả
  • Tài / Xỉu 2.5 Tài 2.5 Tài 2.5 (4 mục tiêu) ✔ Chính xác
  • Cả Hai Đội Đều Ghi Bàn BTTS Có Có ✔ Chính xác
  • 1X2 Biellese Biellese ✔ Chính xác
  • Thông tin tỷ số chính xác 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Không đúng

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:29 UTC Snapshot ID: dp-7436269

Closing Odds 2.1
AI Fair Odds —
CLV +0.0%
Final Result Biellese win · Biellese 3–1 Ligorna
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Thông tin thị trường

Đọc bổ sung sau lựa chọn chính: feed đóng kèo ưu tiên đã thay đổi so với mô hình thế nào.

Tóm tắt thị trường

Thị trường khá ổn định trước giờ bóng lăn. Không thấy dịch chuyển implied đáng kể giữa PRE30 và PRE1 trên snapshot ưu tiên.

Dù biến động muộn hạn chế, mô hình vẫn định giá Biellese (1X2),Trên 2,5 bàn cao hơn rõ rệt so với implied từ các snapshot đóng kèo — đây là bức tranh tĩnh «mô hình so với giá», không phải câu chuyện đuổi dòng muộn.

Mô hình vẫn cao hơn implied đóng kèo ở Biellese (1X2) khoảng 8.2 điểm phần trăm — tín hiệu lệch giá rõ nhất trên trang này.

Mô hình so với xác suất ngầm lúc đóng kèo

Thị trường Mô hình % Ngầm đóng kèo % Chênh (pp)
Biellese (1X2) 36.6 28.4 +8.2
Vẽ tranh (1X2) 29.6 28.8 +0.8
Ligorna (1X2) 33.8 42.8 -9.1
Trên 2,5 bàn 48.2 42.1 +6.1
Dưới 2,5 bàn 51.8 57.9 -6.1
Ý nghĩa đơn giản

Nói dễ hiểu: mô hình khoảng 36.6% cho Biellese (1X2), trong khi snapshot đóng kèo ngầm khoảng 28.4%. Chênh lệch — khoảng 8.2 điểm phần trăm — là khoảng cách mô hình–thị trường lớn nhất được nhấn mạnh trên trang này.

Giải thích nhanh: «ngầm đóng kèo» là xác suất suy ra từ kèo chụp cuối (sau khi bỏ vig đơn giản). «Chênh (pp)» = % mô hình trừ % ngầm đó, tính theo điểm phần trăm (pp).

Biến động kèo trước giờ bóng lăn

Một nhà cái ưu tiên mỗi snapshot (không phải toàn thị trường). Đường dẫn chụp: PRE30 → PRE1 · Nhà cái: Pinnacle

Trong ngoặc trên cột: Closing = snapshot đầu tiên khả dụng theo PRE1→PRE5→PRE10→PRE30; Early = snapshot đầu tiên trong PRE30→PRE10→PRE5 khác Closing.

Kèo chi tiết được gấp bên dưới — biến động implied (đã bỏ vig) không đáng kể.

Xem bảng đầy đủ từng dòng
Thị trường Sớm (PRE30) Sát giờ (PRE1) Δ ngầm (pp)
Biellese (1X2) 3.17 3.17 0.0
Vẽ tranh (1X2) 3.12 3.12 0.0
Ligorna (1X2) 2.1 2.1 0.0
Trên 2,5 bàn 2.2 2.2 0.0
Dưới 2,5 bàn 1.6 1.6 0.0

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View technical JSON
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        },
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        },
        "ev_yes": 0.0192,
        "ev_yes_display": {
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      },
      {
        "authority_action": "no_bet",
        "authority_note": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
        "consensus_odds": 3.17,
        "decision": "no_bet",
        "disagreement_label": "Moderate",
        "disagreement_level": "moderate",
        "ev": -0.0322,
        "ev_available": true,
        "ev_display": {
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        "raw_signal_ev_display": "+16.0%",
        "show_primary_label": false,
        "side_label": "Biellese",
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        "tier": "bad_ev"
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      {
        "featured": false,
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        "tier": "risk",
        "top_label": "1-1",
        "top_prob": 12.5
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    ],
    "market_intelligence": {
      "betting_signal": {
        "alert_breadth": "4/6",
        "alert_breadth_note": "4/6 sportsbooks confirmed",
        "alert_move": "\u2191 +18.4%",
        "alert_team": "Biellese",
        "alert_title": "Sharp Money Alert",
        "divergence_pp": 9.1,
        "has_alert": true,
        "hero_edge_pp": -9.05,
        "hero_label": "Ligorna",
        "market_prob_pct": 28.4,
        "market_team": "Ligorna",
        "model_prob_pct": 36.6,
        "model_team": "Biellese",
        "show": true,
        "status_icon": "\u2713",
        "status_key": "aligned",
        "status_label": "Reliable prediction",
        "status_line": "Direction aligned; check pricing gap separately",
        "steam_score": 66,
        "steam_subtitle": "Strong sharp signal",
        "steam_tier": "A",
        "title": "Betting Signal"
      },
      "decision_chain": {
        "academy_links": [
          {
            "key": "steam",
            "read_min": 4,
            "title": "What Is a Steam Move?",
            "url": "/academy/betting-market/what-is-a-steam-move/en"
          },
          {
            "key": "clv_pending",
            "read_min": 3,
            "title": "Why CLV Matters More Than Win Rate",
            "url": "/academy/clv/why-clv-matters-more-than-win-rate/en"
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        ],
        "alignment": {
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          "direction_key": "conflict",
          "gap_pp": 9.1,
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          "label": "Disagree",
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          "pricing_key": "moderate",
          "probability_gap_pp": 9.1,
          "summary": "The market has moved away from Biellese, but the model still strongly favours Biellese."
        },
        "authority": {
          "action": "no_bet",
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            "label": "Disagree",
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            "pricing_aligned": true,
            "pricing_key": "moderate",
            "probability_gap_pp": 9.1,
            "summary": "The market has moved away from Biellese, but the model still strongly favours Biellese."
          },
          "alignment_key": "conflict",
          "best_consensus_ev": 0.0604,
          "best_outlier_ev": 0.1602,
          "confidence_band": "Moderate\u2013Low",
          "decision_strength": 3.0,
          "decision_strength_v1": 5.0,
          "decision_strength_v2": 3.5,
          "decision_type": "NO_SIGNAL",
          "execution_confidence": 33,
          "extreme_disagreement": false,
          "final_verdict_audit": {
            "action": "Monitor closing market and validate with CLV.",
            "action_label": "Action",
            "decision": "No Primary Bet",
            "is_primary": false,
            "snapshot": "The Decision Model estimates Biellese at 36.6%, compared with a no-vig market probability of 28.4%.",
            "why": [
              {
                "text": "Decision Model identifies Biellese as the value side (36.6%)",
                "tone": "ok"
              },
              {
                "text": "Market pricing conflicts with the model lean",
                "tone": "bad"
              },
              {
                "text": "Model\u2013market disagreement blocks Primary sizing",
                "tone": "bad"
              },
              {
                "text": "Market quality / price reliability is insufficient for Primary",
                "tone": "bad"
              },
              {
                "text": "Model confidence reduced due to calibration uncertainty",
                "tone": "bad"
              }
            ],
            "why_label": "Decision Summary"
          },
          "gap_pp": 8.2,
          "gates_failed": [
            "Execution confidence below 65"
          ],
          "has_top_pick": true,
          "headline": "No Primary Bet",
          "hero_mode": "default",
          "icon": "\u25cb",
          "label": "No Primary Bet",
          "market_signal": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
          "model_conflict_detail": null,
          "model_lean": "Biellese",
          "no_primary_reasons": {
            "all_triggered": [
              "market_conflict",
              "market_quality",
              "calibration_risk"
            ],
            "calibration_mode": "soft",
            "codes": [
              "market_conflict",
              "market_quality"
            ],
            "label": "Reason",
            "other_factors": [
              {
                "code": "market_quality",
                "detail": "Price reliability is weak (thin coverage, outlier quote, or low book agreement).",
                "name": "Market Quality Risk",
                "short": "Market Quality Risk",
                "tone": "warn"
              }
            ],
            "other_label": "Other factors",
            "primary": {
              "code": "market_conflict",
              "detail": "Model lean and market pricing / drift are not aligned.",
              "name": "Market Conflict",
              "short": "Market Conflict",
              "subtype": "drift_against_model",
              "tone": "warn"
            },
            "secondary": {
              "code": "market_quality",
              "detail": "Price reliability is weak (thin coverage, outlier quote, or low book agreement).",
              "name": "Market Quality Risk",
              "short": "Market Quality Risk",
              "tone": "warn"
            },
            "version": "v1"
          },
          "outlier_detected": true,
          "outlier_excluded_panel": "Excluded top quotes (audit row \u2014 never Primary): #1 \u00b7 market OU_2_5 \u00b7 side Biellese \u00b7 decimal odds ~2.41 (derived from model% \u00d7 (1+EV)) \u00b7 EV +16% \u00b7 book: not captured on live render (see odds history / admin snapshot) \u00b7 captured: \u2014 \u00b7 audit_ref: fixture=1624036 \u00b7 snapshot=live-render \u00b7 odds\u22482.41 \u00b7 reason=thin|single-book|\u0394EV\u22653.0%EV \u00b7 book=admin-only \u00b7 trigger: outlier EV \u2212 consensus EV \u2265 +3.0% EV (not probability pp) AND thin/single-book style \u00b7 consensus used +6.0% EV. Excluded quotes cannot clear Primary.",
          "primary_allowed": false,
          "primary_block_explain": {
            "entries": [
              {
                "key": "positive_ev",
                "label": "Consensus EV +6.0% meets Primary gate (\u2265+5.0%)",
                "ok": true
              },
              {
                "key": "gate",
                "label": "Execution confidence below 65",
                "ok": false
              }
            ],
            "lean_ev_threshold_pct": 2.0,
            "primary_ev_threshold_pct": 5.0,
            "subtitle": "Primary needs consensus EV \u2265 +5.0% plus reliability/execution/calibration gates (Decision Strength is explain-only). Lean/tracked gate is +2.0% (selective only \u2014 not default Primary sizing).",
            "title": "Why not Primary?"
          },
          "primary_gate_checklist": "Gate checklist: Consensus EV +6.0% \u2705 (need \u2265+5.0%) \u00b7 Calibration See checklist \u274c \u2192 Primary blocked. Decision Strength 3.0/10 (explain only, not a Primary gate). If you still act under hard block: example stake 0.10\u20130.20% bankroll (never Primary).",
          "primary_gate_snapshot": "Primary Gate Snapshot: Consensus EV +6.0% (gate \u2265+5.0%) \u00b7 Calibration: See checklist \u2192 Primary blocked \u00b7 Decision Strength 3.0/10 (display only)",
          "primary_gates": {
            "items": [
              {
                "key": "extreme_gap",
                "label": "Extreme gap",
                "ok": true,
                "value": "no"
              },
              {
                "key": "xg_calibration",
                "label": "xG calibration",
                "ok": true,
                "value": "warning"
              },
              {
                "key": "reliability",
                "label": "Rel",
                "ok": true,
                "value": "74 (\u226565)"
              },
              {
                "key": "execution",
                "label": "Exec",
                "ok": false,
                "value": "33 (\u226565)"
              },
              {
                "key": "alignment",
                "label": "Align",
                "ok": false,
                "value": "conflict"
              },
              {
                "key": "consensus_ev",
                "label": "ConsEV",
                "ok": true,
                "value": "+6.0% (\u2265+5.0%)"
              },
              {
                "key": "top_pick",
                "label": "Pick",
                "ok": true,
                "value": "true"
              },
              {
                "key": "validation",
                "label": "Validation",
                "ok": true,
                "value": "true"
              }
            ],
            "passed": 6,
            "total": 8
          },
          "primary_type": null,
          "reasons": [
            "The market has moved away from Biellese, but the model still strongly favours Biellese.",
            "Decision strength: 3.0/10",
            "Execution confidence below 65",
            "Outlier price +16% EV detected \u2014 not used for Primary (consensus only)."
          ],
          "reliability_score": 74,
          "speed_read": "Speed read: Model Signal can look moderate/strong while Decision Strength stays low after calibration \u2014 Strength alone does not block Primary (v2.5+); still check reliability/execution/EV hard gates.",
          "strength_v2_breakdown": [
            "Base decision score (v1)",
            "Reliability supports action",
            "Market steam conflicts with model",
            "Consensus-line +EV",
            "Low xG separation (league-average noise)"
          ],
          "subline": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
          "thresholds": {
            "extreme_gap_pp": 30.0,
            "lean_min_consensus_ev": 0.02,
            "lean_min_strength": 5.0,
            "min_consensus_ev": 0.05,
            "min_execution": 65,
            "min_reliability": 65,
            "min_strength": 7.0,
            "source": "db",
            "user_id": 2
          },
          "thresholds_source": "db",
          "thresholds_user_id": 2,
          "tier": "observe",
          "validation_ok": true,
          "value_context": {
            "consensus_ev": -0.0322,
            "consensus_ev_display": "-3.2%",
            "consensus_odds": 3.17,
            "disagreement_label": "Moderate",
            "disagreement_level": "moderate",
            "implied_prob": 0.2836,
            "is_extreme_disagreement": false,
            "model_prob": 0.366,
            "raw_edge_display": "+8.2 percentage points",
            "raw_edge_pp": 8.2,
            "raw_implied_prob": 0.31545741324921134,
            "raw_signal_ev": 0.1602,
            "raw_signal_ev_display": "+16.0%"
          },
          "version": "v2.5",
          "xg_calibration": {
            "block_value_alert": true,
            "calibration_status": "warning",
            "deviation_pct": -1.5,
            "reasons": [
              "Low xG separation gap=0.06 (noise / no edge)"
            ],
            "recommended_action": "monitor",
            "strength_delta": -2.0,
            "uplift_away": null,
            "uplift_home": null,
            "xg_separation": {
              "band": "flat",
              "block_value_alert": true,
              "separation_score": -20,
              "strength_delta": -2.0,
              "xg_gap": 0.06
            }
          }
        },
        "bet_status": "no_bet",
        "books_breadth_display": "4/6",
        "breadth_ratio": 0.6666666666666666,
        "evidence": {
          "score": 68,
          "signals": [
            {
              "icon": "\u25cb",
              "key": "statistical_edge",
              "label": "No strong statistical edge",
              "status": "neutral"
            },
            {
              "icon": "!",
              "key": "market_agreement",
              "label": "Recent market move conflicts with the model favourite",
              "status": "caution"
            },
            {
              "icon": "!",
              "key": "steam",
              "label": "Market drift conflicts with model",
              "status": "caution"
            },
            {
              "icon": "\u2713",
              "key": "validation",
              "label": "Validation passed",
              "status": "pass"
            }
          ],
          "stars": 3,
          "tier": "moderate",
          "tier_label": "Moderate"
        },
        "forecast_reliability": {
          "breakdown": [
            {
              "key": "validation",
              "label": "Validation: Pass",
              "tone": "ok"
            },
            {
              "key": "steam",
              "label": "Market drift conflicts with model",
              "tone": "caution"
            }
          ],
          "parts": {
            "alignment": 20.5,
            "data_quality": 12.0,
            "market_coverage": 6.7,
            "steam_coherence": 0.0,
            "validation": 30.0
          },
          "score": 74,
          "stars": 3,
          "tier": "high",
          "tier_label": "High"
        },
        "lean_gap_pp": 9.05,
        "market_agreement": "moderate",
        "max_gap_pp": 9.05,
        "model_calibration": {
          "away_xg": 1.27,
          "calibration_status": "ok",
          "deviation_pct": -1.0,
          "elevated": false,
          "home_xg": 1.33,
          "impact_note": "",
          "league_avg_xg": 1.35,
          "peak_xg": 1.33,
          "status_label": "Within typical league range",
          "summary": "Home xG 1.33 \u00b7 Away xG 1.27 \u00b7 League avg 1.35 \u00b7 Peak deviation -1%",
          "title": "Model Calibration Check"
        },
        "move_is_drift": true,
        "mv_status": "pass",
        "odds_delta_pct": 18.4,
        "steam_conflicts": true,
        "steam_move_display": "\u2191 +18.4%",
        "steam_team": "Biellese",
        "suppress_execution": false,
        "value_split": {
          "execution_confidence": {
            "label": "Monitoring Confidence",
            "score": 33,
            "tier": "low",
            "tier_label": "Low"
          },
          "market_compatibility": {
            "label": "Pricing proximity (inverse gap)",
            "note": "This score falls as the probability gap (pp) rises \u2014 it is NOT a bet green light. Direction may still agree (see Alignment above). Formula: proximity = max(0, 100 \u2212 5\u00d7pp). Example: 16 pp \u2192 20/100 (diverged).",
            "score": 20,
            "tier": "not_reliable",
            "tier_label": "Not reliable"
          },
          "model_edge_strength": {
            "label": "Model Signal Strength",
            "score": 36,
            "tier": "low",
            "tier_label": "Low"
          },
          "model_value": {
            "label": "Pricing proximity (inverse gap)",
            "note": "This score falls as the probability gap (pp) rises \u2014 it is NOT a bet green light. Direction may still agree (see Alignment above). Formula: proximity = max(0, 100 \u2212 5\u00d7pp). Example: 16 pp \u2192 20/100 (diverged).",
            "score": 20,
            "tier": "not_reliable",
            "tier_label": "Not reliable"
          },
          "recommendation": {
            "action": "no_bet",
            "label": "No Primary Bet"
          }
        },
        "verdict": {
          "agree_note": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
          "alignment": {
            "direction_aligned": false,
            "direction_key": "conflict",
            "gap_pp": 9.1,
            "key": "conflict",
            "label": "Disagree",
            "model_strong": false,
            "pricing_aligned": true,
            "pricing_key": "moderate",
            "probability_gap_pp": 9.1,
            "summary": "The market has moved away from Biellese, but the model still strongly favours Biellese."
          },
          "authority": {
            "action": "no_bet",
            "alignment": {
              "direction_aligned": false,
              "direction_key": "conflict",
              "gap_pp": 9.1,
              "key": "conflict",
              "label": "Disagree",
              "model_strong": false,
              "pricing_aligned": true,
              "pricing_key": "moderate",
              "probability_gap_pp": 9.1,
              "summary": "The market has moved away from Biellese, but the model still strongly favours Biellese."
            },
            "alignment_key": "conflict",
            "best_consensus_ev": 0.0604,
            "best_outlier_ev": 0.1602,
            "confidence_band": "Moderate\u2013Low",
            "decision_strength": 3.0,
            "decision_strength_v1": 5.0,
            "decision_strength_v2": 3.5,
            "decision_type": "NO_SIGNAL",
            "execution_confidence": 33,
            "extreme_disagreement": false,
            "final_verdict_audit": {
              "action": "Monitor closing market and validate with CLV.",
              "action_label": "Action",
              "decision": "No Primary Bet",
              "is_primary": false,
              "snapshot": "The Decision Model estimates Biellese at 36.6%, compared with a no-vig market probability of 28.4%.",
              "why": [
                {
                  "text": "Decision Model identifies Biellese as the value side (36.6%)",
                  "tone": "ok"
                },
                {
                  "text": "Market pricing conflicts with the model lean",
                  "tone": "bad"
                },
                {
                  "text": "Model\u2013market disagreement blocks Primary sizing",
                  "tone": "bad"
                },
                {
                  "text": "Market quality / price reliability is insufficient for Primary",
                  "tone": "bad"
                },
                {
                  "text": "Model confidence reduced due to calibration uncertainty",
                  "tone": "bad"
                }
              ],
              "why_label": "Decision Summary"
            },
            "gap_pp": 8.2,
            "gates_failed": [
              "Execution confidence below 65"
            ],
            "has_top_pick": true,
            "headline": "No Primary Bet",
            "hero_mode": "default",
            "icon": "\u25cb",
            "label": "No Primary Bet",
            "market_signal": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
            "model_conflict_detail": null,
            "model_lean": "Biellese",
            "no_primary_reasons": {
              "all_triggered": [
                "market_conflict",
                "market_quality",
                "calibration_risk"
              ],
              "calibration_mode": "soft",
              "codes": [
                "market_conflict",
                "market_quality"
              ],
              "label": "Reason",
              "other_factors": [
                {
                  "code": "market_quality",
                  "detail": "Price reliability is weak (thin coverage, outlier quote, or low book agreement).",
                  "name": "Market Quality Risk",
                  "short": "Market Quality Risk",
                  "tone": "warn"
                }
              ],
              "other_label": "Other factors",
              "primary": {
                "code": "market_conflict",
                "detail": "Model lean and market pricing / drift are not aligned.",
                "name": "Market Conflict",
                "short": "Market Conflict",
                "subtype": "drift_against_model",
                "tone": "warn"
              },
              "secondary": {
                "code": "market_quality",
                "detail": "Price reliability is weak (thin coverage, outlier quote, or low book agreement).",
                "name": "Market Quality Risk",
                "short": "Market Quality Risk",
                "tone": "warn"
              },
              "version": "v1"
            },
            "outlier_detected": true,
            "outlier_excluded_panel": "Excluded top quotes (audit row \u2014 never Primary): #1 \u00b7 market OU_2_5 \u00b7 side Biellese \u00b7 decimal odds ~2.41 (derived from model% \u00d7 (1+EV)) \u00b7 EV +16% \u00b7 book: not captured on live render (see odds history / admin snapshot) \u00b7 captured: \u2014 \u00b7 audit_ref: fixture=1624036 \u00b7 snapshot=live-render \u00b7 odds\u22482.41 \u00b7 reason=thin|single-book|\u0394EV\u22653.0%EV \u00b7 book=admin-only \u00b7 trigger: outlier EV \u2212 consensus EV \u2265 +3.0% EV (not probability pp) AND thin/single-book style \u00b7 consensus used +6.0% EV. Excluded quotes cannot clear Primary.",
            "primary_allowed": false,
            "primary_block_explain": {
              "entries": [
                {
                  "key": "positive_ev",
                  "label": "Consensus EV +6.0% meets Primary gate (\u2265+5.0%)",
                  "ok": true
                },
                {
                  "key": "gate",
                  "label": "Execution confidence below 65",
                  "ok": false
                }
              ],
              "lean_ev_threshold_pct": 2.0,
              "primary_ev_threshold_pct": 5.0,
              "subtitle": "Primary needs consensus EV \u2265 +5.0% plus reliability/execution/calibration gates (Decision Strength is explain-only). Lean/tracked gate is +2.0% (selective only \u2014 not default Primary sizing).",
              "title": "Why not Primary?"
            },
            "primary_gate_checklist": "Gate checklist: Consensus EV +6.0% \u2705 (need \u2265+5.0%) \u00b7 Calibration See checklist \u274c \u2192 Primary blocked. Decision Strength 3.0/10 (explain only, not a Primary gate). If you still act under hard block: example stake 0.10\u20130.20% bankroll (never Primary).",
            "primary_gate_snapshot": "Primary Gate Snapshot: Consensus EV +6.0% (gate \u2265+5.0%) \u00b7 Calibration: See checklist \u2192 Primary blocked \u00b7 Decision Strength 3.0/10 (display only)",
            "primary_gates": {
              "items": [
                {
                  "key": "extreme_gap",
                  "label": "Extreme gap",
                  "ok": true,
                  "value": "no"
                },
                {
                  "key": "xg_calibration",
                  "label": "xG calibration",
                  "ok": true,
                  "value": "warning"
                },
                {
                  "key": "reliability",
                  "label": "Rel",
                  "ok": true,
                  "value": "74 (\u226565)"
                },
                {
                  "key": "execution",
                  "label": "Exec",
                  "ok": false,
                  "value": "33 (\u226565)"
                },
                {
                  "key": "alignment",
                  "label": "Align",
                  "ok": false,
                  "value": "conflict"
                },
                {
                  "key": "consensus_ev",
                  "label": "ConsEV",
                  "ok": true,
                  "value": "+6.0% (\u2265+5.0%)"
                },
                {
                  "key": "top_pick",
                  "label": "Pick",
                  "ok": true,
                  "value": "true"
                },
                {
                  "key": "validation",
                  "label": "Validation",
                  "ok": true,
                  "value": "true"
                }
              ],
              "passed": 6,
              "total": 8
            },
            "primary_type": null,
            "reasons": [
              "The market has moved away from Biellese, but the model still strongly favours Biellese.",
              "Decision strength: 3.0/10",
              "Execution confidence below 65",
              "Outlier price +16% EV detected \u2014 not used for Primary (consensus only)."
            ],
            "reliability_score": 74,
            "speed_read": "Speed read: Model Signal can look moderate/strong while Decision Strength stays low after calibration \u2014 Strength alone does not block Primary (v2.5+); still check reliability/execution/EV hard gates.",
            "strength_v2_breakdown": [
              "Base decision score (v1)",
              "Reliability supports action",
              "Market steam conflicts with model",
              "Consensus-line +EV",
              "Low xG separation (league-average noise)"
            ],
            "subline": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
            "thresholds": {
              "extreme_gap_pp": 30.0,
              "lean_min_consensus_ev": 0.02,
              "lean_min_strength": 5.0,
              "min_consensus_ev": 0.05,
              "min_execution": 65,
              "min_reliability": 65,
              "min_strength": 7.0,
              "source": "db",
              "user_id": 2
            },
            "thresholds_source": "db",
            "thresholds_user_id": 2,
            "tier": "observe",
            "validation_ok": true,
            "value_context": {
              "consensus_ev": -0.0322,
              "consensus_ev_display": "-3.2%",
              "consensus_odds": 3.17,
              "disagreement_label": "Moderate",
              "disagreement_level": "moderate",
              "implied_prob": 0.2836,
              "is_extreme_disagreement": false,
              "model_prob": 0.366,
              "raw_edge_display": "+8.2 percentage points",
              "raw_edge_pp": 8.2,
              "raw_implied_prob": 0.31545741324921134,
              "raw_signal_ev": 0.1602,
              "raw_signal_ev_display": "+16.0%"
            },
            "version": "v2.5",
            "xg_calibration": {
              "block_value_alert": true,
              "calibration_status": "warning",
              "deviation_pct": -1.5,
              "reasons": [
                "Low xG separation gap=0.06 (noise / no edge)"
              ],
              "recommended_action": "monitor",
              "strength_delta": -2.0,
              "uplift_away": null,
              "uplift_home": null,
              "xg_separation": {
                "band": "flat",
                "block_value_alert": true,
                "separation_score": -20,
                "strength_delta": -2.0,
                "xg_gap": 0.06
              }
            }
          },
          "headline": "No Primary Bet",
          "icon": "\u25cb",
          "label": "No Primary Bet",
          "subline": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
          "tier": "observe"
        },
        "why": {
          "action_line": "Compare model lean with current best odds before sizing any bet.",
          "bullets": [
            "Model: Biellese 1.33 xG vs Ligorna 1.27 \u2192 Biellese 36.6%",
            "Market: Ligorna ~28.4% implied",
            "Market Drift: Biellese odds \u2191 +18.4%"
          ],
          "one_liner": "Model favours Biellese, but the market has moved away from Biellese.",
          "title": "Why?"
        }
      },
      "edge_rows": [
        {
          "edge_pp": 8.23,
          "fair_prob": 36.59,
          "label": "Biellese",
          "market_prob": 28.36,
          "market_type": "1x2",
          "outcome": "home"
        },
        {
          "edge_pp": 0.82,
          "fair_prob": 29.64,
          "label": "Draw",
          "market_prob": 28.82,
          "market_type": "1x2",
          "outcome": "draw"
        },
        {
          "edge_pp": -9.05,
          "fair_prob": 33.77,
          "label": "Ligorna",
          "market_prob": 42.82,
          "market_type": "1x2",
          "outcome": "away"
        },
        {
          "edge_pp": 5.52,
          "fair_prob": 48.2,
          "label": "Over 2.5",
          "market_prob": 42.68,
          "market_type": "ou25",
          "outcome": "over"
        },
        {
          "edge_pp": -5.52,
          "fair_prob": 51.8,
          "label": "Under 2.5",
          "market_prob": 57.32,
          "market_type": "ou25",
          "outcome": "under"
        },
        {
          "edge_pp": 5.5,
          "fair_prob": 54.5,
          "label": "BTTS Yes",
          "market_prob": 49.0,
          "market_type": "btts",
          "outcome": "yes"
        },
        {
          "edge_pp": -5.5,
          "fair_prob": 45.5,
          "label": "BTTS No",
          "market_prob": 51.0,
          "market_type": "btts",
          "outcome": "no"
        }
      ],
      "edge_snapshot": {
        "edge_label": "mild_disagreement",
        "edge_pp": -9.05,
        "fair_prob_pct": 33.77,
        "hero_side": "away",
        "hero_team_name": "Ligorna",
        "market_prob_pct": 42.82,
        "status": "market_ahead",
        "steam_team_name": "Biellese"
      },
      "fair_source": "poisson_pipeline",
      "fair_vs_market": {
        "closing_capture": "PRE1",
        "closing_footnote": "Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.",
        "comparison_available": true,
        "comparison_disabled": false,
        "comparison_summary": "The closing market estimates Ligorna\u0027s win probability at 42.8%, compared with the model\u0027s estimate of 33.8%, a difference of 9.1 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.",
        "degraded_note": "",
        "divergence_guard": {
          "divergence_level": "moderate",
          "edge_status": "market_ahead",
          "max_gap_pp": 9.05,
          "suppress_hero": false,
          "suppress_value_language": false
        },
        "divergence_label": "Moderate model-market divergence",
        "divergence_level": "moderate",
        "divergence_level_label": "Moderate divergence",
        "divergence_note": "Fair estimate and market pricing differ modestly. Monitor before kickoff.",
        "divergence_tier": "moderate",
        "edge_label": "Mild disagreement",
        "edge_label_key": "mild_disagreement",
        "fair_confidence": "medium",
        "fair_confidence_label": "Medium",
        "fair_source_note": "Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.",
        "forecast_assessment": {
          "favourite_class": "Balanced match",
          "favourite_label": "Biellese",
          "forecast_certainty_tier": "low",
          "headline": "Balanced match",
          "market_agreement_label": "Moderate",
          "market_direction": {
            "label": "Conflicts with model",
            "positive": false
          },
          "market_prob_pct": 28.4,
          "model_prob_gap_display": "+8.2 percentage points",
          "model_prob_gap_pp": 8.2,
          "model_prob_pct": 36.6,
          "outcome_separation_tier": "low",
          "paragraphs": [],
          "pricing_convergence": {
            "gap_display": "+8.2 percentage points",
            "gap_pp": 8.2,
            "label": "Moderate",
            "label_key": "mi_fa_pricing_moderate"
          },
          "reliability_headline": "Moderate reliability",
          "reliability_icon": "\u2713",
          "reliability_score": 74,
          "reliability_tier": "moderate",
          "summary": "The market has moved away from Biellese, but the model still strongly favours Biellese. This disagreement reduces confidence and prevents a Primary bet.",
          "tier": "balanced",
          "title": "Prediction Assessment",
          "validation_label": "Pass",
          "value_split": {
            "execution_confidence": {
              "label": "Monitoring Confidence",
              "score": 33,
              "tier": "low",
              "tier_label": "Low"
            },
            "market_compatibility": {
              "label": "Pricing proximity (inverse gap)",
              "note": "This score falls as the probability gap (pp) rises \u2014 it is NOT a bet green light. Direction may still agree (see Alignment above). Formula: proximity = max(0, 100 \u2212 5\u00d7pp). Example: 16 pp \u2192 20/100 (diverged).",
              "score": 20,
              "tier": "not_reliable",
              "tier_label": "Not reliable"
            },
            "model_edge_strength": {
              "label": "Model Signal Strength",
              "score": 36,
              "tier": "low",
              "tier_label": "Low"
            },
            "model_value": {
              "label": "Pricing proximity (inverse gap)",
              "note": "This score falls as the probability gap (pp) rises \u2014 it is NOT a bet green light. Direction may still agree (see Alignment above). Formula: proximity = max(0, 100 \u2212 5\u00d7pp). Example: 16 pp \u2192 20/100 (diverged).",
              "score": 20,
              "tier": "not_reliable",
              "tier_label": "Not reliable"
            },
            "recommendation": {
              "action": "no_bet",
              "label": "No Primary Bet"
            }
          },
          "why": {
            "action_line": "Compare model lean with current best odds before sizing any bet.",
            "bullets": [
              "Model: Biellese 1.33 xG vs Ligorna 1.27 \u2192 Biellese 36.6%",
              "Market: Ligorna ~28.4% implied",
              "Market Drift: Biellese odds \u2191 +18.4%"
            ],
            "one_liner": "Model favours Biellese, but the market has moved away from Biellese.",
            "title": "Why?"
          }
        },
        "forecast_certainty": {
          "note": "Three outcomes remain closely bunched \u2014 treat as a relatively open match.",
          "tier": "low",
          "tier_label": "Low"
        },
        "forecast_certainty_label": "Low",
        "has_market_probs": true,
        "hero_edge_pp": -9.05,
        "hero_label": "Ligorna",
        "hero_side": "away",
        "market_activity": "Biellese odds lengthened \u2191 +18.4%.",
        "market_agreement": "moderate",
        "market_agreement_label": "Moderate",
        "market_interpretation": {
          "bullets": [
            "Monitor line movement before kickoff \u2014 not a betting recommendation."
          ],
          "follow_up": "However, Biellese has seen drift \u2014 odds lengthened by 18.4%, suggesting weakening support.",
          "gap_tier": "mild",
          "lead": "The market and model broadly agree on Ligorna. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.",
          "note": "Drift away from Biellese \u2014 odds lengthened by 18.4% (weakening support).",
          "paragraphs": [
            "The market and model broadly agree on Ligorna. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.",
            "However, Biellese has seen drift \u2014 odds lengthened by 18.4%, suggesting weakening support.",
            "Drift away from Biellese \u2014 odds lengthened by 18.4% (weakening support)."
          ],
          "quiet_market": false,
          "title": "Market Assessment"
        },
        "market_narrative": {
          "paragraphs": [
            "The market still prices Ligorna above the current fair estimate.",
            "At the same time, Biellese has drifted \u2014 odds lengthened by 18.4%, suggesting weakening support."
          ],
          "title": "Current Market Narrative"
        },
        "market_source": "closing_1x2",
        "max_gap_pp": 9.05,
        "model_validation": {
          "score_label_key": "mi_mv_pass",
          "status": "pass"
        },
        "model_validation_label": "Pass",
        "outcome_separation": {
          "breakdown": [
            "No outcome exceeds 50% on the 1X2 grid.",
            "Top two 1X2 outcomes within 2.8 percentage points."
          ],
          "lead_gap_pp": 2.8,
          "max_prob_pct": 36.6,
          "note": "How spread out the model 1X2 probabilities are \u2014 crowded splits mean no single outcome dominates. Not accuracy vs the market.",
          "tier": "low",
          "tier_label": "Low"
        },
        "outcome_separation_label": "Low",
        "overall_assessment": {
          "badge_class": "moderate",
          "largest_gap_label": "Ligorna",
          "largest_gap_pp": -9.1,
          "lead": "The closing market prices Ligorna higher than the statistical model.",
          "level": "moderate",
          "max_gap_pp": 9.1,
          "title": "Moderate Disagreement"
        },
        "rows": [
          {
            "difference_pp": 8.23,
            "edge_pp": 8.23,
            "fair_prob_pct": 36.59,
            "is_hero": false,
            "label": "Biellese",
            "market_prob_pct": 28.36,
            "side": "home",
            "signal_key": "model_higher",
            "signal_label": "Model Higher"
          },
          {
            "difference_pp": 0.82,
            "edge_pp": 0.82,
            "fair_prob_pct": 29.64,
            "is_hero": false,
            "label": "Draw",
            "market_prob_pct": 28.82,
            "side": "draw",
            "signal_key": "aligned",
            "signal_label": "Aligned"
          },
          {
            "difference_pp": -9.05,
            "edge_pp": -9.05,
            "fair_prob_pct": 33.77,
            "is_hero": true,
            "label": "Ligorna",
            "market_prob_pct": 42.82,
            "side": "away",
            "signal_key": "market_higher",
            "signal_label": "Market Higher"
          }
        ],
        "status": "market_ahead",
        "status_label": "Market Ahead",
        "steam_note": "Drift away from Biellese \u2014 odds lengthened by 18.4% (weakening support).",
        "unavailable_note": ""
      },
      "interpretation": {
        "has_conflict": true,
        "paragraphs": [
          "The betting market strongly prefers Ligorna (28.4%).",
          "However, Biellese has seen one of the strongest multi-book drifts of the day (\u2191 +18.4%, 4/6) \u2014 odds lengthened, not shortened.",
          "This creates a conflict: Model \u2192 Biellese, Market \u2192 Ligorna, while Biellese odds drifted longer (market fade).",
          "Because signals disagree, confidence remains limited."
        ],
        "show": true,
        "title": "OddsGPT Interpretation"
      },
      "lifecycle": {
        "closing_implied_pct": 47.62,
        "closing_odds": 2.1,
        "closing_reason": "",
        "closing_status": "recorded",
        "closing_status_label": "Recorded",
        "clv_pending": true,
        "clv_pp": 0.0,
        "clv_reason": "",
        "clv_status": "pending",
        "context": "match",
        "current_stage": "waiting_for_kickoff",
        "current_stage_detail": "",
        "current_stage_label": "Waiting for kickoff",
        "entry_implied_pct": 47.62,
        "entry_odds": 2.1,
        "match_phase": "upcoming",
        "match_phase_detail": "",
        "match_phase_display": "Upcoming",
        "match_phase_label": "Upcoming",
        "model_validation_label": "Pass",
        "model_validation_status": "pass",
        "stages": [
          {
            "detail": "",
            "id": "forecast_generated",
            "label": "Prediction Generated",
            "status": "done"
          },
          {
            "detail": "",
            "id": "market_detected",
            "label": "Market Compared",
            "status": "active"
          },
          {
            "detail": "",
            "id": "model_validated",
            "label": "Validation Passed",
            "status": "done"
          },
          {
            "detail": "PRE1",
            "id": "closing_recorded",
            "label": "Closing Recorded",
            "status": "done"
          },
          {
            "detail": "",
            "id": "clv_evaluated",
            "label": "CLV Evaluated",
            "status": "pending"
          }
        ]
      },
      "market_move_intelligence": {
        "books_reacting": 4,
        "books_reacting_detail": [
          {
            "bookmaker_id": 11,
            "bookmaker_name": "1xBet",
            "is_sharp": false,
            "move_delta_display": "\u2191 +30.2%",
            "odds_delta_pct": 30.2
          },
          {
            "bookmaker_id": 2,
            "bookmaker_name": "Marathonbet",
            "is_sharp": false,
            "move_delta_display": "\u2191 +26.6%",
            "odds_delta_pct": 26.6
          },
          {
            "bookmaker_id": 32,
            "bookmaker_name": "Betano",
            "is_sharp": false,
            "move_delta_display": "\u2191 +24.5%",
            "odds_delta_pct": 24.5
          },
          {
            "bookmaker_id": 8,
            "bookmaker_name": "Bet365",
            "is_sharp": true,
            "move_delta_display": "\u2191 +18.4%",
            "odds_delta_pct": 18.4
          }
        ],
        "books_total": 6,
        "breadth_display": "4/6",
        "clv_label": "+0.00 pp",
        "clv_status": "evaluated",
        "current_odds": 2.9,
        "is_drift": true,
        "move_context": "Largest move today",
        "move_display": "\u2191 +18.4%",
        "move_pct_abs": 18.4,
        "move_speed_icon": "\u2194",
        "move_speed_label": "Gradual move over 11h 50m",
        "narrative_paragraphs": [
          "Multi-book drift on Biellese (18.4%, 4/6) \u2014 aligned lengthening, market pricing moves against this side.",
          "Noticeable drift \u2014 odds lengthened with multi-book confirmation (not steam)."
        ],
        "narrative_title": "Market Narrative",
        "odds_delta_pct": 18.4,
        "odds_path": {
          "chart_y_labels": [
            "3.17",
            "2.81",
            "2.45"
          ],
          "display": "3.23 \u2192 2.45 \u2192 2.90",
          "move_speed_icon": "\u2194",
          "move_speed_label": "Gradual move over 11h 50m",
          "pick_team": "Biellese",
          "points": [
            {
              "label_key": "open",
              "value": "3.23"
            },
            {
              "label_key": "extreme",
              "value": "2.45"
            },
            {
              "label_key": "current",
              "value": "2.90"
            }
          ],
          "sparkline_points": [
            2.45,
            3.17,
            2.9
          ],
          "sparkline_polyline": "0.0,18.0 28.0,0.0 56.0,6.8",
          "sparkline_trend": "up",
          "sparkline_trend_label": "One-way rise",
          "summary_boxes": [
            {
              "label_key": "open",
              "value": "2.45"
            },
            {
              "label_key": "low",
              "value": "2.45"
            },
            {
              "label_key": "high",
              "value": "3.17"
            },
            {
              "label_key": "current",
              "value": "2.90"
            }
          ]
        },
        "open_odds": 2.45,
        "page_alert_line": "Market drift alert: Biellese odds \u2191 +18.4% \u2014 pricing moves against this side",
        "phase_label": "Market drift",
        "phase_tip": "Broad lengthening \u2014 market pricing moves against the tracked side.",
        "pick_team": "Biellese",
        "ref_book": "Bet365",
        "seo_title_alert": "Market drift alert: Biellese odds \u2191 +18.4% \u2014 pricing moves against this side",
        "sharp_leader": "Bet365",
        "show": true,
        "signal_badge_class": "fade",
        "signal_icon": "\u2198",
        "signal_impact": {
          "current_odds": 2.9,
          "is_drift": true,
          "label": "Market Signal",
          "move_display": "\u2191 +18.4%",
          "open_odds": 2.45,
          "summary": "Market moved away from Biellese while the model still favours another side.",
          "team": "Biellese",
          "tone": "against"
        },
        "signal_key": "market_drift",
        "signal_label": "Drift",
        "steam_score": 66,
        "steam_subtitle": "Strong sharp signal",
        "steam_tier": "A",
        "title": "Market Move Intelligence"
      },
      "market_overview": {
        "breadth_display": "4/6",
        "current_odds": 2.9,
        "move_display": "\u2191 +18.4%",
        "open_odds": 2.45,
        "pick_team": "Biellese",
        "steam_score": 66,
        "steam_team_name": "Biellese",
        "steam_tier": "A"
      },
      "premium_teaser": {
        "current_divergence_pp": 9.1,
        "divergence_label": "Current divergence",
        "title": "Premium Market Intelligence",
        "unlock_items": [
          "Historical similar matches",
          "Closing odds analysis",
          "CLV tracking",
          "Sharp money signals",
          "Market efficiency rating",
          "Historical model vs market results"
        ],
        "unlock_label": "Unlock"
      },
      "show": true
    },
    "match": {
      "at2.away_team_slug": "ligorna",
      "away_expected_goals": null,
      "away_goal_display": null,
      "away_team_display_name": "Ligorna",
      "away_team_id": 9437,
      "away_team_logo": "/static/teams/9437.webp",
      "away_team_name": "Ligorna",
      "away_team_public_id": "5PfHpEZKorl0LQ",
      "away_team_slug": "ligorna",
      "country_code": "IT",
      "country_display_name": "Italy",
      "country_flag": "/static/images/country/it.svg",
      "country_id": 79,
      "country_name": "Italy",
      "fixture_id": 1624036,
      "goals_away": null,
      "goals_home": null,
      "home_expected_goals": null,
      "home_goal_display": null,
      "home_team_country": "Italy",
      "home_team_display_name": "Biellese",
      "home_team_id": 26505,
      "home_team_logo": "/static/teams/26505.webp",
      "home_team_name": "Biellese",
      "home_team_public_id": "5ys7NiZXBAAdvT",
      "home_team_slug": "biellese",
      "ht.home_team_slug": "biellese",
      "league_country": "Italy",
      "league_country_display": "Italy",
      "league_display_name": "Serie D - Girone A",
      "league_id": 426,
      "league_logo": "/static/leagues/426.webp",
      "league_name": "Serie D - Girone A",
      "league_public_id": "3SJFB0aavhQKDo",
      "league_season": 2026,
      "match_date": "2026-09-13 13:00:00",
      "public_id": "0XkuhigPgq6UfJ",
      "score_fulltime_away": null,
      "score_fulltime_home": null,
      "score_penalty_away": null,
      "score_penalty_home": null,
      "status_long": "Not Started",
      "status_short": "NS",
      "venue_city": null,
      "venue_name": null
    },
    "match_decision": {
      "confidence": {
        "breakdown": [
          "pred_conf_md_max_1x2_under_50",
          "pred_conf_md_top_two_close",
          "pred_conf_md_line_above_ev"
        ],
        "breakdown_resolved": [
          "Max 1X2 prob under 50% (open contest) (\u22121.0)",
          "Top two outcomes relatively close in probability (\u22120.5)",
          "At least one tracked line above +EV threshold (+0.5)"
        ],
        "score": 6.0
      },
      "markets": {
        "1x2": {
          "1x2_ev_mode": "market_first_p15",
          "away": {
            "alpha": 0.3888,
            "best_odd": 2.1,
            "calibration": {
              "active": false,
              "hook": "CALIBRATE_1X2_P_FINAL"
            },
            "edge": -0.0352,
            "ev": -0.1748,
            "implied_prob": 0.4282,
            "joint_probs": {
              "away": 0.4282,
              "draw": 0.2882,
              "home": 0.2836
            },
            "model_prob": 0.3375,
            "p_final": 0.3929
          },
          "draw": {
            "alpha": 0.2963,
            "best_odd": 3.12,
            "calibration": {
              "active": false,
              "hook": "CALIBRATE_1X2_P_FINAL"
            },
            "edge": 0.0025,
            "ev": -0.0932,
            "implied_prob": 0.2882,
            "joint_probs": {
              "away": 0.4282,
              "draw": 0.2882,
              "home": 0.2836
            },
            "model_prob": 0.2965,
            "p_final": 0.2906
          },
          "ev_available": true,
          "home": {
            "alpha": 0.2629,
            "best_odd": 3.17,
            "calibration": {
              "active": false,
              "hook": "CALIBRATE_1X2_P_FINAL"
            },
            "edge": 0.0217,
            "ev": -0.0322,
            "implied_prob": 0.2836,
            "joint_probs": {
              "away": 0.4282,
              "draw": 0.2882,
              "home": 0.2836
            },
            "model_prob": 0.366,
            "p_final": 0.3053
          }
        },
        "1x2_outlier": {
          "1x2_ev_mode": "legacy_max_odd",
          "away": {
            "best_odd": 2.1,
            "edge": -0.1386,
            "ev": -0.2912,
            "implied_prob": 0.4762,
            "model_prob": 0.3375
          },
          "draw": {
            "best_odd": 3.12,
            "edge": -0.024,
            "ev": -0.075,
            "implied_prob": 0.3205,
            "model_prob": 0.2965
          },
          "ev_available": true,
          "home": {
            "best_odd": 3.17,
            "edge": 0.0505,
            "ev": 0.1602,
            "implied_prob": 0.3155,
            "model_prob": 0.366
          }
        },
        "btts": {
          "alpha_no": 0.2066,
          "alpha_yes": 0.2066,
          "best_no_odd": 1.8,
          "best_yes_odd": 1.87,
          "btts_ev_mode": "market_first_available",
          "edge_no": -0.055,
          "edge_yes": 0.055,
          "ev_available": true,
          "ev_no": -0.181,
          "ev_no_risk_adj": -0.1031,
          "ev_yes": 0.0192,
          "ev_yes_risk_adj": -0.0618,
          "implied_no": 0.51,
          "implied_yes": 0.49,
          "market_first": {
            "available": true,
            "mode": "market_first_btts",
            "n_bookmakers": 3,
            "no": {
              "alpha": 0.2066,
              "best_odd": 1.8,
              "edge": -0.0113,
              "ev": -0.1031,
              "implied_prob": 0.5095,
              "model_prob": 0.455,
              "p_final": 0.4983
            },
            "prediction_confidence": "very_low",
            "yes": {
              "alpha": 0.2066,
              "best_odd": 1.87,
              "edge": 0.0113,
              "ev": -0.0618,
              "implied_prob": 0.4905,
              "model_prob": 0.545,
              "p_final": 0.5017
            }
          },
          "n_bookmakers": 3,
          "p_final_no": 0.4983,
          "p_final_yes": 0.5017,
          "prediction_confidence": "very_low",
          "reliability": "medium"
        },
        "ou25": {
          "alpha_over": 0.2056,
          "alpha_under": 0.2261,
          "best_over_odd": 2.2,
          "best_under_odd": 1.65,
          "consensus_over_odd": 2.17,
          "consensus_under_odd": 1.6,
          "edge_over": 0.0552,
          "edge_under": -0.0552,
          "ev_available": true,
          "ev_over": 0.0604,
          "ev_over_risk_adj": -0.0534,
          "ev_under": -0.1453,
          "ev_under_risk_adj": -0.0999,
          "implied_over": 0.4268,
          "implied_over_mf": 0.4244,
          "implied_under": 0.5732,
          "implied_under_mf": 0.5756,
          "market_first": {
            "available": true,
            "mode": "market_first_ou",
            "n_bookmakers": 5,
            "over": {
              "alpha": 0.2056,
              "best_odd": 2.17,
              "edge": 0.0118,
              "ev": -0.0534,
              "implied_prob": 0.4244,
              "model_prob": 0.482,
              "p_final": 0.4362
            },
            "prediction_confidence": "very_low",
            "under": {
              "alpha": 0.2261,
              "best_odd": 1.6,
              "edge": -0.013,
              "ev": -0.0999,
              "implied_prob": 0.5756,
              "model_prob": 0.518,
              "p_final": 0.5626
            }
          },
          "n_bookmakers": 5,
          "ou_ev_mode": "market_first_available",
          "p_final_over": 0.4362,
          "p_final_under": 0.5626,
          "prediction_confidence": "very_low",
          "reliability": "medium"
        }
      },
      "match_regime": {
        "action": "avoid",
        "code": "no_edge",
        "execution_line_key": "pred_regime_exec_no_actionable",
        "insight_line_key": "pred_regime_insight_minor_inefficiency",
        "stake_mult": 0.0,
        "use_split_strip": true
      },
      "match_tier": "no_bet",
      "min_ev": 0.02,
      "total_xg": 2.6,
      "variance_flag": false
    },
    "unified_decision": {
      "actionable_ev_threshold": 0.02,
      "algorithm": {
        "enabled_since": "2026-05-26",
        "game_typing_module": true,
        "version": "2.5.0"
      },
      "balanced_alternative": null,
      "best_consensus_ev": 0.0604,
      "best_outlier_ev": 0.1602,
      "best_tracked_ev": 0.0604,
      "confidence": 5.0,
      "decision_confidence_v1": {
        "breakdown": [
          "pred_conf_v1_primary_line",
          "pred_conf_v1_max_1x2_under_50"
        ],
        "breakdown_resolved": [
          "Primary line identified (+1.0)",
          "Max 1X2 prob under 50% (no dominant 1X2) (\u22121.0)"
        ],
        "breakdown_v2": [
          "Base decision score (v1)",
          "Reliability supports action",
          "Market steam conflicts with model",
          "Consensus-line +EV",
          "Low xG separation (league-average noise)"
        ],
        "score": 3.0,
        "score_v1_legacy": 5.0,
        "score_v2_pre_penalty": 3.5,
        "strength_v2": true
      },
      "decision_strength_v2": {
        "breakdown": [
          "Base decision score (v1)",
          "Reliability supports action",
          "Market steam conflicts with model",
          "Consensus-line +EV",
          "Low xG separation (league-average noise)"
        ],
        "score": 3.0,
        "score_pre_penalty": 3.5
      },
      "decision_type": "NO_SIGNAL",
      "execution": {
        "1x2_dominant": false,
        "1x2_open_contest": true,
        "grade": "A",
        "stake_factor": 1.0
      },
      "favourite_misaligned_1x2": {
        "active": false,
        "gap": null,
        "side": null
      },
      "final_action": "no_bet",
      "final_decision": {
        "action": "no_bet",
        "alignment": {
          "direction_aligned": false,
          "direction_key": "conflict",
          "gap_pp": 9.1,
          "key": "conflict",
          "label": "Disagree",
          "model_strong": false,
          "pricing_aligned": true,
          "pricing_key": "moderate",
          "probability_gap_pp": 9.1,
          "summary": "The market has moved away from Biellese, but the model still strongly favours Biellese."
        },
        "alignment_key": "conflict",
        "best_consensus_ev": 0.0604,
        "best_outlier_ev": 0.1602,
        "confidence_band": "Moderate\u2013Low",
        "decision_strength": 3.0,
        "decision_strength_v1": 5.0,
        "decision_strength_v2": 3.5,
        "decision_type": "NO_SIGNAL",
        "execution_confidence": 33,
        "extreme_disagreement": false,
        "final_verdict_audit": {
          "action": "Monitor closing market and validate with CLV.",
          "action_label": "Action",
          "decision": "No Primary Bet",
          "is_primary": false,
          "snapshot": "The Decision Model estimates Biellese at 36.6%, compared with a no-vig market probability of 28.4%.",
          "why": [
            {
              "text": "Decision Model identifies Biellese as the value side (36.6%)",
              "tone": "ok"
            },
            {
              "text": "Market pricing conflicts with the model lean",
              "tone": "bad"
            },
            {
              "text": "Model\u2013market disagreement blocks Primary sizing",
              "tone": "bad"
            },
            {
              "text": "Market quality / price reliability is insufficient for Primary",
              "tone": "bad"
            },
            {
              "text": "Model confidence reduced due to calibration uncertainty",
              "tone": "bad"
            }
          ],
          "why_label": "Decision Summary"
        },
        "gap_pp": 8.2,
        "gates_failed": [
          "Execution confidence below 65"
        ],
        "has_top_pick": true,
        "headline": "No Primary Bet",
        "hero_mode": "default",
        "icon": "\u25cb",
        "label": "No Primary Bet",
        "market_signal": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
        "model_conflict_detail": null,
        "model_lean": "Biellese",
        "no_primary_reasons": {
          "all_triggered": [
            "market_conflict",
            "market_quality",
            "calibration_risk"
          ],
          "calibration_mode": "soft",
          "codes": [
            "market_conflict",
            "market_quality"
          ],
          "label": "Reason",
          "other_factors": [
            {
              "code": "market_quality",
              "detail": "Price reliability is weak (thin coverage, outlier quote, or low book agreement).",
              "name": "Market Quality Risk",
              "short": "Market Quality Risk",
              "tone": "warn"
            }
          ],
          "other_label": "Other factors",
          "primary": {
            "code": "market_conflict",
            "detail": "Model lean and market pricing / drift are not aligned.",
            "name": "Market Conflict",
            "short": "Market Conflict",
            "subtype": "drift_against_model",
            "tone": "warn"
          },
          "secondary": {
            "code": "market_quality",
            "detail": "Price reliability is weak (thin coverage, outlier quote, or low book agreement).",
            "name": "Market Quality Risk",
            "short": "Market Quality Risk",
            "tone": "warn"
          },
          "version": "v1"
        },
        "outlier_detected": true,
        "outlier_excluded_panel": "Excluded top quotes (audit row \u2014 never Primary): #1 \u00b7 market OU_2_5 \u00b7 side Biellese \u00b7 decimal odds ~2.41 (derived from model% \u00d7 (1+EV)) \u00b7 EV +16% \u00b7 book: not captured on live render (see odds history / admin snapshot) \u00b7 captured: \u2014 \u00b7 audit_ref: fixture=1624036 \u00b7 snapshot=live-render \u00b7 odds\u22482.41 \u00b7 reason=thin|single-book|\u0394EV\u22653.0%EV \u00b7 book=admin-only \u00b7 trigger: outlier EV \u2212 consensus EV \u2265 +3.0% EV (not probability pp) AND thin/single-book style \u00b7 consensus used +6.0% EV. Excluded quotes cannot clear Primary.",
        "primary_allowed": false,
        "primary_block_explain": {
          "entries": [
            {
              "key": "positive_ev",
              "label": "Consensus EV +6.0% meets Primary gate (\u2265+5.0%)",
              "ok": true
            },
            {
              "key": "gate",
              "label": "Execution confidence below 65",
              "ok": false
            }
          ],
          "lean_ev_threshold_pct": 2.0,
          "primary_ev_threshold_pct": 5.0,
          "subtitle": "Primary needs consensus EV \u2265 +5.0% plus reliability/execution/calibration gates (Decision Strength is explain-only). Lean/tracked gate is +2.0% (selective only \u2014 not default Primary sizing).",
          "title": "Why not Primary?"
        },
        "primary_gate_checklist": "Gate checklist: Consensus EV +6.0% \u2705 (need \u2265+5.0%) \u00b7 Calibration See checklist \u274c \u2192 Primary blocked. Decision Strength 3.0/10 (explain only, not a Primary gate). If you still act under hard block: example stake 0.10\u20130.20% bankroll (never Primary).",
        "primary_gate_snapshot": "Primary Gate Snapshot: Consensus EV +6.0% (gate \u2265+5.0%) \u00b7 Calibration: See checklist \u2192 Primary blocked \u00b7 Decision Strength 3.0/10 (display only)",
        "primary_gates": {
          "items": [
            {
              "key": "extreme_gap",
              "label": "Extreme gap",
              "ok": true,
              "value": "no"
            },
            {
              "key": "xg_calibration",
              "label": "xG calibration",
              "ok": true,
              "value": "warning"
            },
            {
              "key": "reliability",
              "label": "Rel",
              "ok": true,
              "value": "74 (\u226565)"
            },
            {
              "key": "execution",
              "label": "Exec",
              "ok": false,
              "value": "33 (\u226565)"
            },
            {
              "key": "alignment",
              "label": "Align",
              "ok": false,
              "value": "conflict"
            },
            {
              "key": "consensus_ev",
              "label": "ConsEV",
              "ok": true,
              "value": "+6.0% (\u2265+5.0%)"
            },
            {
              "key": "top_pick",
              "label": "Pick",
              "ok": true,
              "value": "true"
            },
            {
              "key": "validation",
              "label": "Validation",
              "ok": true,
              "value": "true"
            }
          ],
          "passed": 6,
          "total": 8
        },
        "primary_type": null,
        "reasons": [
          "The market has moved away from Biellese, but the model still strongly favours Biellese.",
          "Decision strength: 3.0/10",
          "Execution confidence below 65",
          "Outlier price +16% EV detected \u2014 not used for Primary (consensus only)."
        ],
        "reliability_score": 74,
        "speed_read": "Speed read: Model Signal can look moderate/strong while Decision Strength stays low after calibration \u2014 Strength alone does not block Primary (v2.5+); still check reliability/execution/EV hard gates.",
        "strength_v2_breakdown": [
          "Base decision score (v1)",
          "Reliability supports action",
          "Market steam conflicts with model",
          "Consensus-line +EV",
          "Low xG separation (league-average noise)"
        ],
        "subline": "The market has moved away from Biellese, but the model still strongly favours Biellese.",
        "thresholds": {
          "extreme_gap_pp": 30.0,
          "lean_min_consensus_ev": 0.02,
          "lean_min_strength": 5.0,
          "min_consensus_ev": 0.05,
          "min_execution": 65,
          "min_reliability": 65,
          "min_strength": 7.0,
          "source": "db",
          "user_id": 2
        },
        "thresholds_source": "db",
        "thresholds_user_id": 2,
        "tier": "observe",
        "validation_ok": true,
        "value_context": {
          "consensus_ev": -0.0322,
          "consensus_ev_display": "-3.2%",
          "consensus_odds": 3.17,
          "disagreement_label": "Moderate",
          "disagreement_level": "moderate",
          "implied_prob": 0.2836,
          "is_extreme_disagreement": false,
          "model_prob": 0.366,
          "raw_edge_display": "+8.2 percentage points",
          "raw_edge_pp": 8.2,
          "raw_implied_prob": 0.31545741324921134,
          "raw_signal_ev": 0.1602,
          "raw_signal_ev_display": "+16.0%"
        },
        "version": "v2.5",
        "xg_calibration": {
          "block_value_alert": true,
          "calibration_status": "warning",
          "deviation_pct": -1.5,
          "reasons": [
            "Low xG separation gap=0.06 (noise / no edge)"
          ],
          "recommended_action": "monitor",
          "strength_delta": -2.0,
          "uplift_away": null,
          "uplift_home": null,
          "xg_separation": {
            "band": "flat",
            "block_value_alert": true,
            "separation_score": -20,
            "strength_delta": -2.0,
            "xg_gap": 0.06
          }
        }
      },
      "game_type": {
        "label_zh": "\u5747\u8861\uff08\u5f00\u653e\u8d5b\u679c\uff09",
        "scoring_type": "balanced",
        "signals": {
          "btts_yes_prob": 0.545,
          "draw_prob": 0.2965,
          "max_1x2_prob": 0.366,
          "over_prob": 0.482,
          "total_xg": 2.6,
          "under_prob": 0.518,
          "xg_diff": 0.06
        },
        "type": "balanced",
        "typing_weights_enabled": true
      },
      "hero_display_pick": null,
      "hero_mode": "default",
      "longshot_picks": [],
      "markets": {
        "1x2": {
          "consensus_odds": 3.17,
          "decision": "no_bet",
          "edge": 0.0217,
          "ev": -0.0322,
          "implied_prob": 0.2836,
          "max_ev_side": "home",
          "model_prob": 0.366,
          "side": "home",
          "side_label": "Biellese"
        },
        "btts": {
          "decision": "small_edge",
          "decision_layer": {
            "alpha": 0.2066,
            "available": true,
            "consensus_odds": 1.87,
            "edge": 0.0113,
            "market_prob": 0.4905,
            "mode": "market_first_btts",
            "model_prob": 0.545,
            "n_bookmakers": 3,
            "no": {
              "alpha": 0.2066,
              "best_odd": 1.8,
              "edge": -0.0113,
              "ev": -0.1031,
              "implied_prob": 0.5095,
              "model_prob": 0.455,
              "p_final": 0.4983
            },
            "p_final": 0.5017,
            "prediction_confidence": "very_low",
            "risk_adj_ev": -0.0618,
            "value_side": "yes",
            "yes": {
              "alpha": 0.2066,
              "best_odd": 1.87,
              "edge": 0.0113,
              "ev": -0.0618,
              "implied_prob": 0.4905,
              "model_prob": 0.545,
              "p_final": 0.5017
            }
          },
          "edge": 0.055,
          "ev": 0.0192,
          "implied_prob": 0.49,
          "model_prob": 0.545,
          "side": "yes",
          "value_side": "yes"
        },
        "ou_2_5": {
          "decision": "value_bet",
          "decision_layer": {
            "alpha": 0.2056,
            "available": true,
            "consensus_odds": 2.17,
            "edge": 0.0118,
            "market_prob": 0.4244,
            "mode": "market_first_ou",
            "model_prob": 0.482,
            "n_bookmakers": 5,
            "over": {
              "alpha": 0.2056,
              "best_odd": 2.17,
              "edge": 0.0118,
              "ev": -0.0534,
              "implied_prob": 0.4244,
              "model_prob": 0.482,
              "p_final": 0.4362
            },
            "p_final": 0.4362,
            "prediction_confidence": "very_low",
            "risk_adj_ev": -0.0534,
            "under": {
              "alpha": 0.2261,
              "best_odd": 1.6,
              "edge": -0.013,
              "ev": -0.0999,
              "implied_prob": 0.5756,
              "model_prob": 0.518,
              "p_final": 0.5626
            },
            "value_side": "over"
          },
          "edge": 0.0552,
          "ev": 0.0604,
          "implied_prob": 0.4268,
          "model_prob": 0.482,
          "side": "over",
          "value_side": "over"
        }
      },
      "match_id": 1624036,
      "match_regime": {
        "action": "optional",
        "actionable": true,
        "clear_edge": false,
        "code": "thin_edge",
        "execution_line_key": null,
        "insight_line_key": null,
        "max_valid_ev": 0.0604,
        "min_ev": 0.02,
        "stake_mult": 0.25,
        "use_split_strip": false
      },
      "match_tier": "value_game",
      "no_clear_primary": false,
      "probabilities": {
        "away": 0.3375,
        "draw": 0.2965,
        "home": 0.366
      },
      "reason_codes": [
        "no_ev_1x2"
      ],
      "secondary_pick": null,
      "secondary_picks": [],
      "show_betting_primary_label": false,
      "suppressed_primary": null,
      "teams": {
        "away": "Ligorna",
        "home": "Biellese"
      },
      "top_pick": {
        "composite_score": 0.020379,
        "decision": "value_bet",
        "ev": 0.0604,
        "implied_prob": 0.4268,
        "market": "ou_2_5",
        "model_prob": 0.482,
        "not_dominant": true,
        "primary_strength": "clear",
        "risk_band": "medium",
        "risk_tier": "primary",
        "side": "over",
        "slot": "primary",
        "speculative_primary": false
      },
      "valid_markets_count": 1,
      "value_context_1x2": {
        "consensus_ev": -0.0322,
        "consensus_ev_display": "-3.2%",
        "consensus_odds": 3.17,
        "disagreement_label": "Moderate",
        "disagreement_level": "moderate",
        "implied_prob": 0.2836,
        "is_extreme_disagreement": false,
        "model_prob": 0.366,
        "raw_edge_display": "+8.2 percentage points",
        "raw_edge_pp": 8.2,
        "raw_implied_prob": 0.31545741324921134,
        "raw_signal_ev": 0.1602,
        "raw_signal_ev_display": "+16.0%"
      }
    }
  },
  "fixture_id": 1624036,
  "generated_at_utc": "2026-09-13T13:03:56.695226+00:00",
  "lang_id": "en"
}

Nhận dự đoán cao cấp cho Biellese & Ligorna!

Mở khóa phân tích chuyên sâu, mẹo cá cược độc quyền và dự đoán trận đấu với dịch vụ đăng ký cao cấp của chúng tôi.

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Serie D - Girone A Serie D - Girone A — Bảng xếp hạng
# Đội Tr T H B Đ
1 Biellese 5 3 2 0 11
2 Derthona 5 3 2 0 11
3 Gozzano 5 3 1 1 10
4 Saluzzo 5 2 3 0 9
5 Millesimo 5 3 0 2 9
6 Alessandria 4 3 0 1 9
7 Imperia 4 2 1 1 7
8 Asti 5 2 1 2 7
9 Ligorna 5 2 1 2 7
10 Lascaris 5 2 1 2 7
11 Fezzanese 5 2 1 2 7
12 Sanremese 5 1 2 2 5
13 Borgosesia 4 1 2 1 5
14 Chisola 4 1 1 2 4
15 Sestri Levante 5 1 1 3 4
16 Bra 4 0 2 2 2
17 Valenzana 5 0 1 4 1
18 Celle Varazze 4 0 0 4 0
# Đội Tr BT BB +/- Đ
1 Ligorna 5 9 9 0 7
2 Biellese 5 8 4 +4 11
3 Saluzzo 5 8 4 +4 9
4 Millesimo 5 8 4 +4 9
5 Gozzano 5 7 3 +4 10
6 Alessandria 4 7 6 +1 9
7 Derthona 5 6 3 +3 11
8 Fezzanese 5 6 5 +1 7
9 Asti 5 6 7 -1 7
10 Sanremese 5 6 7 -1 5
11 Imperia 4 5 3 +2 7
12 Sestri Levante 5 5 8 -3 4
13 Valenzana 5 5 9 -4 1
14 Borgosesia 4 3 4 -1 5
15 Chisola 4 3 5 -2 4
16 Lascaris 5 3 6 -3 7
17 Bra 4 2 4 -2 2
18 Celle Varazze 4 1 7 -6 0