AI correctly predicted the Wiener Viktoria win.
The match finished 0–1, validating the model's directional assessment.
Pasaran yang dijejaki vs hasil sepenuh masa
Setiap baris membandingkan model pra-perlawanan lean dengan keputusan sepenuh masa.
- Pasaran Ramalan Hasilnya Hasil
- Over / Under 2.5 Under 2.5 Under 2.5 (1 matlamat) ✔ Betul
- Kedua-dua Pasukan Menjaringkan Gol BTTS Tidak Tidak ✔ Betul
- 1X2 Wiener Viktoria Wiener Viktoria ✔ Betul
- Cerapan skor tepat 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Betul
Model lwn Pasaran Penutup
| Hasil | Model | Menutup Pasaran | Perbezaan | isyarat |
|---|---|---|---|---|
| Leobendorf | 32.9% | 44.7% | -11.8 pp | Market Higher |
| Draw | 29.6% | 25.9% | +3.7 pp | Aligned |
| Wiener Viktoria | 37.5% | 29.4% | +8.1 pp | Model Higher |
The closing market estimates Leobendorf's win probability at 44.7%, compared with the model's estimate of 32.9%, a difference of 11.8 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
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.
Selepas sepenuh masa, lean arah model sepadan dengan keputusan (Wiener Viktoria win 0–1).
Market Assessment
The market is materially more optimistic about Leobendorf than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Both Teams To Score (No) matched the full-time result
- Under 2.5 goals aligned with the xG profile
- Exact score 0–1 fell within the model's highlighted bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Wiener Viktoria higher (49.3% vs model 37.5%, 11.8 pp), but the model's lean was validated (Wiener Viktoria win 0–1).
Garis Masa Ramalan
Cara ramalan ini beralih daripada ramalan kepada semakan sepenuh masa.
-
Sep 26, 2026 · 14:30 UTC Forecast generated
- Model 1X2 · Leobendorf 32.9% · Draw 29.6% · Wiener Viktoria 37.6%
- xG · Leobendorf 1.25 — Wiener Viktoria 1.35
-
Sep 26, 2026 · 14:21 UTC Opening odds snapshot PRE10
- 1X2 odds · Leobendorf 1.99 · Draw 3.43 · Wiener Viktoria 3.02
- Implied 1X2 · Leobendorf 44.7% · Draw 25.9% · Wiener Viktoria 29.4%
- Bookmaker · Pinnacle
-
Sep 26, 2026 · 14:30 UTC Closing snapshot recorded PRE1
- 1X2 odds · Leobendorf 1.99 · Draw 3.43 · Wiener Viktoria 3.02
- Implied 1X2 · Leobendorf 44.7% · Draw 25.9% · Wiener Viktoria 29.4%
- Bookmaker · Pinnacle
-
Sep 26, 2026 · 14:30 UTC Kickoff
-
FT Full-time result Wiener Viktoria win · 0–1
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Gambar Sejarah
Dibekukan pada sepak mula — keluaran model seperti sebelum perlawanan bermula.
Metrik pra-padanan (konteks sejarah)
- Validation: Warning
- Large market gap (12 pp)
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Semakan Soalan Lazim
- Sejauh manakah ramalan itu tepat?
- Halaman ini menilai pasaran berarah (1X2, Lebih/Bawah 2.5, BTTS) berbanding keputusan sepenuh masa. Gred ramalan menggambarkan bilangan pasaran yang dijejaki itu sepadan dengan realiti.
- Apakah ukuran Ketepatan xG?
- Ketepatan xG membandingkan profil matlamat jangkaan pra-perlawanan model dengan garis skor sebenar — bukan sama ada setiap pasaran mencecah. Semakan arah yang kukuh boleh wujud bersama dengan skor ketepatan xG yang sederhana.
- Mengapakah skor tepat tidak diramalkan?
- Hasil skor betul ialah ekor berkemungkinan rendah walaupun model membaca profil padanan dengan baik. Kami menyerlahkan tong skor tertinggi untuk konteks; kehilangan baris tepat tidak membatalkan semakan arah.
- Adakah ini meningkatkan rekod AI?
- Setiap perlawanan selesai dilog masuk dalam saluran paip pengesahan kami. Kadar hit teragregat dan kajian CLV diterbitkan secara berasingan — halaman ini ialah jejak audit setiap perlawanan.
Ramalan adalah untuk tujuan maklumat sahaja. Sentiasa berjudi dengan penuh tanggungjawab dan dalam had anda. Prestasi masa lalu tidak menjamin hasil masa depan.
Taklimat AI untuk perlawanan ini belum tersedia. Selepas naik taraf pelayan, jalankan semula “Batch generate odds” untuk menjana ringkasan.
View technical JSON
{
"bundle_version": 1,
"content_hash": "ca787c317b3b4c192e2b647474551c248155bfe7df5e31811e6409f0af0c5f8f",
"decision_algo_version": "2.5.0",
"facts": {
"ai_fp": {
"away_predicted_xg": 1.35,
"away_win_prob": 0.3754,
"away_win_prob_posterior": null,
"bayes_applied": 0,
"btts_no_prob": 0.455,
"btts_yes_prob": 0.545,
"dc_rho": -0.13,
"draw_prob": 0.2961,
"draw_prob_posterior": null,
"fair_odds_away": 2.66,
"fair_odds_away_posterior": null,
"fair_odds_draw": 3.38,
"fair_odds_draw_posterior": null,
"fair_odds_home": 3.04,
"fair_odds_home_posterior": null,
"home_predicted_xg": 1.25,
"home_win_prob": 0.3285,
"home_win_prob_posterior": null,
"over_25_prob": 0.482,
"prediction_confidence": "very_low",
"under_25_prob": 0.518
},
"api_prediction": {
"advice": "Double chance : Leobendorf or draw",
"main_pick_display": "No Strong Winner Bet",
"percent_away": "10%",
"percent_draw": "45%",
"percent_home": "45%",
"winner_name": "Leobendorf"
},
"away_xg": 1.35,
"betting_insight": {
"bet_label": "Wiener Viktoria",
"confidence": null,
"main_pick_meta": {
"confidence": "low",
"display_text": "No Strong Winner Bet",
"edge": 0.0814,
"edge_gap": 0.047,
"market": "1X2",
"market_prob": 0.2943,
"model_prob": 0.3757,
"pick_type": "no_strong",
"probabilities": {
"away": 37.6,
"draw": 29.6,
"home": 32.9
},
"reason": "No clear edge in 1X2 market",
"selection": null,
"selection_name": null
},
"market_comparison": [
{
"affi_link": "",
"bookmaker_name": "Pinnacle",
"odd": 3.02
}
],
"risk_color": null,
"risk_key": null,
"stacked_market": null,
"value_bet": {
"best_odds": 3.02,
"bookmaker_id": 0,
"bookmaker_name": "Pinnacle",
"display_market": "Wiener Viktoria Win",
"is_value": true,
"label": "Away",
"market_fair_odds": 3.4,
"market_odds": 3.02,
"model_odds": 2.66,
"overround": 12.5,
"prob_edge": 4.5,
"value_pct": 13.5,
"value_rating": "value_bet"
}
},
"betting_markets": {
"btts": {
"away_clean_sheet": 2,
"away_failed_to_score": 2,
"away_played": 8,
"away_score_rate": 74.1,
"home_clean_sheet": 2,
"home_failed_to_score": 3,
"home_played": 8,
"home_score_rate": 71.3,
"no_prob": 45.5,
"pick": "No",
"pick_prob": 54.5,
"source": "xG_dc",
"strong_pick": true,
"yes_prob": 54.5
},
"correct_score": {
"away_expected": 1.35,
"home_expected": 1.25,
"scores": [
{
"away": 1,
"home": 1,
"label": "1-1",
"prob": 12.5
},
{
"away": 1,
"home": 0,
"label": "0-1",
"prob": 10.0
},
{
"away": 0,
"home": 1,
"label": "1-0",
"prob": 9.3
},
{
"away": 2,
"home": 1,
"label": "1-2",
"prob": 8.5
},
{
"away": 1,
"home": 2,
"label": "2-1",
"prob": 7.8
}
],
"source": "xG"
},
"double_chance": {
"options": [
{
"key": "1X",
"label": "Leobendorf or Draw",
"prob": 62.5
},
{
"key": "12",
"label": "Leobendorf or Wiener Viktoria",
"prob": 70.4
},
{
"key": "X2",
"label": "Draw or Wiener Viktoria",
"prob": 67.1
}
],
"pick_key": "12",
"pick_label": "Leobendorf or Wiener Viktoria",
"pick_prob": 70.4
},
"match_winner": {
"away_pct": 37.5,
"draw_pct": 29.6,
"home_pct": 32.9,
"lean_key": "away",
"lean_label": "Wiener Viktoria"
},
"over_under": {
"api_hint": null,
"avg_total": 2.6,
"away_avg_scored": 1.8,
"confidence": "low",
"home_avg_scored": 1.3,
"over_prob": 48.2,
"pick": "Under 2.5",
"pick_prob": 51.8,
"source": "xG_dc",
"strong_pick": true,
"total_expected": 2.6,
"under_prob": 51.8
},
"prob_source": "poisson",
"value_bet_enhanced": {
"bookmaker_id": 0,
"bookmaker_name": "Pinnacle",
"edge": 13.5,
"implied_prob": 33.1,
"is_value": true,
"label": "Away",
"market": "Wiener Viktoria Win",
"model_prob": 37.6,
"odds": 3.02
}
},
"closing_line_bundle": {
"away_team": "Wiener Viktoria",
"closing_1x2_probs_pct": {
"away": 29.43,
"draw": 25.91,
"home": 44.66
},
"closing_bookmaker": "Pinnacle",
"closing_capture": "PRE1",
"closing_fetched_at": "2026-09-26 14:30:33",
"early_bookmaker": "Pinnacle",
"early_capture": "PRE10",
"early_fetched_at": "2026-09-26 14:21:25",
"has_data": true,
"home_team": "Leobendorf",
"largest_move_kind": null,
"max_abs_move_pp": 0.0,
"model_vs_closing": [
{
"closing_implied_pct": 44.66,
"gap_pp": -11.79,
"kind": "1x2_h",
"model_pct": 32.87
},
{
"closing_implied_pct": 25.91,
"gap_pp": 3.65,
"kind": "1x2_d",
"model_pct": 29.56
},
{
"closing_implied_pct": 29.43,
"gap_pp": 8.14,
"kind": "1x2_a",
"model_pct": 37.57
},
{
"closing_implied_pct": 57.18,
"gap_pp": -8.98,
"kind": "ou_o",
"model_pct": 48.2
},
{
"closing_implied_pct": 42.82,
"gap_pp": 8.98,
"kind": "ou_u",
"model_pct": 51.8
}
],
"movement": [
{
"closing": 1.99,
"early": 1.99,
"implied_closing_pct": 44.66,
"implied_delta_pp": 0.0,
"implied_early_pct": 44.66,
"kind": "1x2_h"
},
{
"closing": 3.43,
"early": 3.43,
"implied_closing_pct": 25.91,
"implied_delta_pp": 0.0,
"implied_early_pct": 25.91,
"kind": "1x2_d"
},
{
"closing": 3.02,
"early": 3.02,
"implied_closing_pct": 29.43,
"implied_delta_pp": 0.0,
"implied_early_pct": 29.43,
"kind": "1x2_a"
},
{
"closing": 1.61,
"early": 1.61,
"implied_closing_pct": 57.18,
"implied_delta_pp": 0.0,
"implied_early_pct": 57.18,
"kind": "ou_o"
},
{
"closing": 2.15,
"early": 2.15,
"implied_closing_pct": 42.82,
"implied_delta_pp": 0.0,
"implied_early_pct": 42.82,
"kind": "ou_u"
}
],
"movement_negligible": true,
"same_bookmaker": true,
"top_value_gap": {
"gap_pp": 9.0,
"kind": "ou_u"
}
},
"correct_score_insight": {
"best_value": null,
"lean_card": {
"diff_pp": 0.0,
"ev": 0.0,
"has_edge": false,
"label": "1-1",
"market_odds": 8.0,
"market_prob": 0.125,
"market_prob_pct": 12.5,
"model_prob": 0.125,
"model_prob_pct": 12.5,
"n_bookmakers": 4,
"status_key": "no_value"
},
"most_likely": {
"label": "1-1",
"prob": 12.5
},
"top5": [
{
"label": "1-1",
"prob": 12.5
},
{
"label": "0-1",
"prob": 10.0
},
{
"label": "1-0",
"prob": 9.3
},
{
"label": "1-2",
"prob": 8.5
},
{
"label": "2-1",
"prob": 7.8
}
]
},
"home_xg": 1.25,
"homepage_pick": null,
"market_cards": [
{
"decision": "value_bet",
"decision_layer": {
"alpha": 0.1934,
"available": true,
"consensus_odds": 2.15,
"edge": 0.0181,
"edge_pp": 1.8,
"market_prob": 0.4244,
"mode": "market_first_ou",
"model_prob": 0.518,
"n_bookmakers": 7,
"over": {
"alpha": 0.2127,
"best_odd": 1.585,
"edge": -0.0199,
"ev": -0.1192,
"implied_prob": 0.5756,
"model_prob": 0.482,
"p_final": 0.5557
},
"p_final": 0.4425,
"prediction_confidence": "very_low",
"raw_edge_pp": 9.4,
"raw_signal_ev": 0.1137,
"risk_adj_ev": -0.0487,
"under": {
"alpha": 0.1934,
"best_odd": 2.15,
"edge": 0.0181,
"ev": -0.0487,
"implied_prob": 0.4244,
"model_prob": 0.518,
"p_final": 0.4425
},
"value_side": "under"
},
"ev_available": true,
"ev_over": -0.224,
"ev_over_display": {
"capped": false,
"raw_pct": -22.4,
"text": "-22.4%"
},
"ev_under": 0.1914,
"ev_under_display": {
"capped": false,
"raw_pct": 19.1,
"text": "+19.1%"
},
"featured": true,
"id": "ou_2_5",
"max_ev": 0.1914,
"n_bookmakers": 7,
"over_prob": 48.2,
"sort_key": 10322.26,
"tier": "best",
"under_prob": 51.8,
"value_side": "under"
},
{
"decision": "value_bet",
"decision_layer": {
"alpha": 0.165,
"available": true,
"consensus_odds": 2.27,
"edge": 0.0092,
"edge_pp": 0.9,
"market_prob": 0.3995,
"mode": "market_first_btts",
"model_prob": 0.455,
"n_bookmakers": 4,
"no": {
"alpha": 0.165,
"best_odd": 2.27,
"edge": 0.0092,
"ev": -0.0724,
"implied_prob": 0.3995,
"model_prob": 0.455,
"p_final": 0.4086
},
"p_final": 0.4086,
"prediction_confidence": "very_low",
"raw_edge_pp": 5.5,
"raw_signal_ev": 0.0329,
"risk_adj_ev": -0.0724,
"value_side": "no",
"yes": {
"alpha": 0.2269,
"best_odd": 1.51,
"edge": -0.0126,
"ev": -0.1122,
"implied_prob": 0.6005,
"model_prob": 0.545,
"p_final": 0.5879
}
},
"ev_available": true,
"ev_no": 0.0647,
"ev_no_display": {
"capped": false,
"raw_pct": 6.5,
"text": "+6.5%"
},
"ev_yes": -0.1443,
"ev_yes_display": {
"capped": false,
"raw_pct": -14.4,
"text": "-14.4%"
},
"featured": false,
"id": "btts",
"max_ev": 0.0647,
"n_bookmakers": 4,
"no_prob": 45.5,
"sort_key": 10058.23,
"tier": "best",
"value_side": "no",
"yes_prob": 54.5
},
{
"authority_action": "no_bet",
"authority_note": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"consensus_odds": 3.02,
"decision": "no_bet",
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"ev": -0.0465,
"ev_available": true,
"ev_display": {
"capped": false,
"raw_pct": -4.7,
"text": "-4.7%"
},
"featured": false,
"id": "1x2",
"implied_prob": 0.2943,
"is_extreme_disagreement": false,
"max_ev": -0.0465,
"max_ev_display": {
"capped": false,
"raw_pct": -4.7,
"text": "-4.7%"
},
"model_prob": 0.3757,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_signal_ev": 0.1346,
"raw_signal_ev_display": "+13.5%",
"show_primary_label": false,
"side_label": "Wiener Viktoria",
"sort_key": 1788.375,
"tier": "bad_ev"
},
{
"featured": false,
"id": "correct_score",
"sort_key": 817.5,
"tier": "risk",
"top_label": "1-1",
"top_prob": 12.5
}
],
"market_intelligence": {
"betting_signal": {
"alert_breadth": "6/7",
"alert_breadth_note": "6/7 sportsbooks confirmed",
"alert_move": "\u2191 +10.7%",
"alert_team": "Wiener Viktoria",
"alert_title": "Sharp Money Alert",
"divergence_pp": 11.8,
"has_alert": true,
"hero_edge_pp": -11.81,
"hero_label": "Leobendorf",
"market_prob_pct": 29.4,
"market_team": "Leobendorf",
"model_prob_pct": 37.5,
"model_team": "Wiener Viktoria",
"show": true,
"status_icon": "!",
"status_key": "caution",
"status_label": "Use caution",
"status_line": "Use caution \u2014 signals are mixed",
"steam_score": 52,
"steam_subtitle": "Moderate sharp signal",
"steam_tier": "B",
"title": "Betting Signal"
},
"decision_chain": {
"academy_links": [
{
"key": "market_disagree",
"read_min": 5,
"title": "When Should You Trust AI Over the Market?",
"url": "/academy/ai-betting/when-should-you-trust-ai-over-the-market/en"
},
{
"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"
}
],
"alignment": {
"direction_aligned": false,
"direction_key": "conflict",
"gap_pp": 11.8,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 11.8,
"summary": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria."
},
"authority": {
"action": "no_bet",
"alignment": {
"direction_aligned": false,
"direction_key": "conflict",
"gap_pp": 11.8,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 11.8,
"summary": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria."
},
"alignment_key": "conflict",
"best_consensus_ev": 0.1914,
"best_outlier_ev": 0.1914,
"confidence_band": "Moderate\u2013Low",
"decision_strength": 3.0,
"decision_strength_v1": 6.5,
"decision_strength_v2": 4.0,
"decision_type": "NO_SIGNAL",
"execution_confidence": 21,
"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 Wiener Viktoria at 37.6%, compared with a no-vig market probability of 29.4%.",
"why": [
{
"text": "Decision Model identifies Wiener Viktoria as the value side (37.6%)",
"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": 8.1,
"gates_failed": [
"Reliability 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 Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"model_conflict_detail": null,
"model_lean": "Wiener Viktoria",
"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": false,
"outlier_excluded_panel": "",
"primary_allowed": false,
"primary_block_explain": {
"entries": [
{
"key": "positive_ev",
"label": "Consensus EV +19.1% meets Primary gate (\u2265+5.0%)",
"ok": true
},
{
"key": "gate",
"label": "Reliability 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 +19.1% \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 +19.1% (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": false,
"value": "59 (\u226565)"
},
{
"key": "execution",
"label": "Exec",
"ok": false,
"value": "21 (\u226565)"
},
{
"key": "alignment",
"label": "Align",
"ok": false,
"value": "conflict"
},
{
"key": "consensus_ev",
"label": "ConsEV",
"ok": true,
"value": "+19.1% (\u2265+5.0%)"
},
{
"key": "top_pick",
"label": "Pick",
"ok": true,
"value": "true"
},
{
"key": "validation",
"label": "Validation",
"ok": true,
"value": "true"
}
],
"passed": 5,
"total": 8
},
"primary_type": null,
"reasons": [
"The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"Decision strength: 3.0/10",
"Reliability below 65"
],
"reliability_score": 59,
"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)",
"Market steam conflicts with model",
"Consensus-line +EV",
"Low xG separation (league-average noise)"
],
"subline": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"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": -0.0465,
"consensus_ev_display": "-4.7%",
"consensus_odds": 3.02,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2943,
"is_extreme_disagreement": false,
"model_prob": 0.3757,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.33112582781456956,
"raw_signal_ev": 0.1346,
"raw_signal_ev_display": "+13.5%"
},
"version": "v2.5",
"xg_calibration": {
"block_value_alert": false,
"calibration_status": "warning",
"deviation_pct": 0.0,
"reasons": [
"Thin xG separation gap=0.1"
],
"recommended_action": "monitor",
"strength_delta": -1.0,
"uplift_away": null,
"uplift_home": null,
"xg_separation": {
"band": "low",
"block_value_alert": false,
"separation_score": -10,
"strength_delta": -1.0,
"xg_gap": 0.1
}
}
},
"bet_status": "no_bet",
"books_breadth_display": "6/7",
"breadth_ratio": 0.8571428571428571,
"evidence": {
"score": 57,
"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": "!",
"key": "validation",
"label": "Validation warning",
"status": "caution"
}
],
"stars": 2,
"tier": "moderate",
"tier_label": "Moderate"
},
"forecast_reliability": {
"breakdown": [
{
"key": "validation",
"label": "Validation: Warning",
"tone": "caution"
},
{
"key": "gap",
"label": "Large market gap (12 pp)",
"tone": "caution"
},
{
"key": "steam",
"label": "Market drift conflicts with model",
"tone": "caution"
}
],
"parts": {
"alignment": 19.1,
"data_quality": 12.0,
"market_coverage": 8.6,
"steam_coherence": 0.0,
"validation": 14.0
},
"score": 59,
"stars": 2,
"tier": "moderate",
"tier_label": "Moderate"
},
"lean_gap_pp": 11.81,
"market_agreement": "weak",
"max_gap_pp": 11.81,
"model_calibration": {
"away_xg": 1.35,
"calibration_status": "ok",
"deviation_pct": 0.0,
"elevated": false,
"home_xg": 1.25,
"impact_note": "",
"league_avg_xg": 1.35,
"peak_xg": 1.35,
"status_label": "Within typical league range",
"summary": "Home xG 1.25 \u00b7 Away xG 1.35 \u00b7 League avg 1.35 \u00b7 Peak deviation +0%",
"title": "Model Calibration Check"
},
"move_is_drift": true,
"mv_status": "warning",
"odds_delta_pct": 10.7,
"steam_conflicts": true,
"steam_move_display": "\u2191 +10.7%",
"steam_team": "Wiener Viktoria",
"suppress_execution": false,
"value_split": {
"execution_confidence": {
"label": "Monitoring Confidence",
"score": 21,
"tier": "not_reliable",
"tier_label": "Not reliable"
},
"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": 37,
"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 Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"alignment": {
"direction_aligned": false,
"direction_key": "conflict",
"gap_pp": 11.8,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 11.8,
"summary": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria."
},
"authority": {
"action": "no_bet",
"alignment": {
"direction_aligned": false,
"direction_key": "conflict",
"gap_pp": 11.8,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 11.8,
"summary": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria."
},
"alignment_key": "conflict",
"best_consensus_ev": 0.1914,
"best_outlier_ev": 0.1914,
"confidence_band": "Moderate\u2013Low",
"decision_strength": 3.0,
"decision_strength_v1": 6.5,
"decision_strength_v2": 4.0,
"decision_type": "NO_SIGNAL",
"execution_confidence": 21,
"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 Wiener Viktoria at 37.6%, compared with a no-vig market probability of 29.4%.",
"why": [
{
"text": "Decision Model identifies Wiener Viktoria as the value side (37.6%)",
"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": 8.1,
"gates_failed": [
"Reliability 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 Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"model_conflict_detail": null,
"model_lean": "Wiener Viktoria",
"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": false,
"outlier_excluded_panel": "",
"primary_allowed": false,
"primary_block_explain": {
"entries": [
{
"key": "positive_ev",
"label": "Consensus EV +19.1% meets Primary gate (\u2265+5.0%)",
"ok": true
},
{
"key": "gate",
"label": "Reliability 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 +19.1% \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 +19.1% (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": false,
"value": "59 (\u226565)"
},
{
"key": "execution",
"label": "Exec",
"ok": false,
"value": "21 (\u226565)"
},
{
"key": "alignment",
"label": "Align",
"ok": false,
"value": "conflict"
},
{
"key": "consensus_ev",
"label": "ConsEV",
"ok": true,
"value": "+19.1% (\u2265+5.0%)"
},
{
"key": "top_pick",
"label": "Pick",
"ok": true,
"value": "true"
},
{
"key": "validation",
"label": "Validation",
"ok": true,
"value": "true"
}
],
"passed": 5,
"total": 8
},
"primary_type": null,
"reasons": [
"The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"Decision strength: 3.0/10",
"Reliability below 65"
],
"reliability_score": 59,
"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)",
"Market steam conflicts with model",
"Consensus-line +EV",
"Low xG separation (league-average noise)"
],
"subline": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"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": -0.0465,
"consensus_ev_display": "-4.7%",
"consensus_odds": 3.02,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2943,
"is_extreme_disagreement": false,
"model_prob": 0.3757,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.33112582781456956,
"raw_signal_ev": 0.1346,
"raw_signal_ev_display": "+13.5%"
},
"version": "v2.5",
"xg_calibration": {
"block_value_alert": false,
"calibration_status": "warning",
"deviation_pct": 0.0,
"reasons": [
"Thin xG separation gap=0.1"
],
"recommended_action": "monitor",
"strength_delta": -1.0,
"uplift_away": null,
"uplift_home": null,
"xg_separation": {
"band": "low",
"block_value_alert": false,
"separation_score": -10,
"strength_delta": -1.0,
"xg_gap": 0.1
}
}
},
"headline": "No Primary Bet",
"icon": "\u25cb",
"label": "No Primary Bet",
"subline": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"tier": "observe"
},
"why": {
"action_line": "Compare model lean with current best odds before sizing any bet.",
"bullets": [
"Model: Leobendorf 1.25 xG vs Wiener Viktoria 1.35 \u2192 Wiener Viktoria 37.5%",
"Market: Leobendorf ~29.4% implied",
"Market Drift: Wiener Viktoria odds \u2191 +10.7%"
],
"one_liner": "Model favours Wiener Viktoria, but the market has moved away from Wiener Viktoria.",
"title": "Why?"
}
},
"edge_rows": [
{
"edge_pp": -11.81,
"fair_prob": 32.85,
"label": "Leobendorf",
"market_prob": 44.66,
"market_type": "1x2",
"outcome": "home"
},
{
"edge_pp": 3.7,
"fair_prob": 29.61,
"label": "Draw",
"market_prob": 25.91,
"market_type": "1x2",
"outcome": "draw"
},
{
"edge_pp": 8.11,
"fair_prob": 37.54,
"label": "Wiener Viktoria",
"market_prob": 29.43,
"market_type": "1x2",
"outcome": "away"
},
{
"edge_pp": -9.46,
"fair_prob": 48.2,
"label": "Over 2.5",
"market_prob": 57.66,
"market_type": "ou25",
"outcome": "over"
},
{
"edge_pp": 9.46,
"fair_prob": 51.8,
"label": "Under 2.5",
"market_prob": 42.34,
"market_type": "ou25",
"outcome": "under"
},
{
"edge_pp": -5.35,
"fair_prob": 54.5,
"label": "BTTS Yes",
"market_prob": 59.85,
"market_type": "btts",
"outcome": "yes"
},
{
"edge_pp": 5.35,
"fair_prob": 45.5,
"label": "BTTS No",
"market_prob": 40.15,
"market_type": "btts",
"outcome": "no"
}
],
"edge_snapshot": {
"edge_label": "strong_disagreement",
"edge_pp": -11.81,
"fair_prob_pct": 32.85,
"hero_side": "home",
"hero_team_name": "Leobendorf",
"market_prob_pct": 44.66,
"status": "strong_market_ahead",
"steam_team_name": "Wiener Viktoria"
},
"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 Leobendorf\u0027s win probability at 44.7%, compared with the model\u0027s estimate of 32.9%, a difference of 11.8 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": "strong",
"edge_status": "strong_market_ahead",
"max_gap_pp": 11.81,
"suppress_hero": false,
"suppress_value_language": false
},
"divergence_label": "Strong model-market divergence",
"divergence_level": "strong",
"divergence_level_label": "Strong divergence",
"divergence_note": "The fair estimate differs noticeably from current market pricing. This may reflect genuine disagreement or incomplete rating inputs.",
"divergence_tier": "strong",
"edge_label": "Strong disagreement",
"edge_label_key": "strong_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": "Wiener Viktoria",
"forecast_certainty_tier": "low",
"headline": "Balanced match",
"market_agreement_label": "Weak",
"market_direction": {
"label": "Conflicts with model",
"positive": false
},
"market_prob_pct": 29.4,
"model_prob_gap_display": "+8.1 percentage points",
"model_prob_gap_pp": 8.1,
"model_prob_pct": 37.5,
"outcome_separation_tier": "low",
"paragraphs": [],
"pricing_convergence": {
"gap_display": "+8.1 percentage points",
"gap_pp": 8.1,
"label": "Moderate",
"label_key": "mi_fa_pricing_moderate"
},
"reliability_headline": "Limited reliability",
"reliability_icon": "!",
"reliability_score": 59,
"reliability_tier": "limited",
"summary": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria. This disagreement reduces confidence and prevents a Primary bet.",
"tier": "balanced",
"title": "Prediction Assessment",
"validation_label": "Warning",
"value_split": {
"execution_confidence": {
"label": "Monitoring Confidence",
"score": 21,
"tier": "not_reliable",
"tier_label": "Not reliable"
},
"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": 37,
"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: Leobendorf 1.25 xG vs Wiener Viktoria 1.35 \u2192 Wiener Viktoria 37.5%",
"Market: Leobendorf ~29.4% implied",
"Market Drift: Wiener Viktoria odds \u2191 +10.7%"
],
"one_liner": "Model favours Wiener Viktoria, but the market has moved away from Wiener Viktoria.",
"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": -11.81,
"hero_label": "Leobendorf",
"hero_side": "home",
"market_activity": "Wiener Viktoria odds lengthened \u2191 +10.7%.",
"market_agreement": "weak",
"market_agreement_label": "Weak",
"market_interpretation": {
"bullets": [
"Investors may be incorporating information not fully reflected in the baseline model.",
"Tournament-specific context can shift market pricing."
],
"follow_up": "However, Wiener Viktoria has seen drift \u2014 odds lengthened by 10.7%, suggesting weakening support.",
"gap_tier": "strong",
"lead": "The market is materially more optimistic about Leobendorf than the current fair estimate.",
"note": "Drift away from Wiener Viktoria \u2014 odds lengthened by 10.7% (weakening support).",
"paragraphs": [
"The market is materially more optimistic about Leobendorf than the current fair estimate.",
"However, Wiener Viktoria has seen drift \u2014 odds lengthened by 10.7%, suggesting weakening support.",
"Drift away from Wiener Viktoria \u2014 odds lengthened by 10.7% (weakening support)."
],
"quiet_market": false,
"title": "Market Assessment"
},
"market_narrative": {
"paragraphs": [
"The market favors Leobendorf more strongly than the current fair estimate.",
"At the same time, Wiener Viktoria has drifted \u2014 odds lengthened by 10.7%, suggesting weakening support.",
"Broad sportsbook alignment (6/7) supports the current market view on Wiener Viktoria."
],
"title": "Current Market Narrative"
},
"market_source": "closing_1x2",
"max_gap_pp": 11.81,
"model_validation": {
"score_label_key": "mi_mv_warning",
"status": "warning"
},
"model_validation_label": "Warning",
"outcome_separation": {
"breakdown": [
"No outcome exceeds 50% on the 1X2 grid.",
"Favourite exceeds second outcome by 4.7 pp (at 37.5%)."
],
"lead_gap_pp": 4.7,
"max_prob_pct": 37.5,
"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": "strong",
"largest_gap_label": "Leobendorf",
"largest_gap_pp": -11.8,
"lead": "The closing market prices Leobendorf higher than the statistical model.",
"level": "strong",
"max_gap_pp": 11.8,
"title": "Strong Disagreement"
},
"rows": [
{
"difference_pp": -11.81,
"edge_pp": -11.81,
"fair_prob_pct": 32.85,
"is_hero": true,
"label": "Leobendorf",
"market_prob_pct": 44.66,
"side": "home",
"signal_key": "market_higher",
"signal_label": "Market Higher"
},
{
"difference_pp": 3.7,
"edge_pp": 3.7,
"fair_prob_pct": 29.61,
"is_hero": false,
"label": "Draw",
"market_prob_pct": 25.91,
"side": "draw",
"signal_key": "aligned",
"signal_label": "Aligned"
},
{
"difference_pp": 8.11,
"edge_pp": 8.11,
"fair_prob_pct": 37.54,
"is_hero": false,
"label": "Wiener Viktoria",
"market_prob_pct": 29.43,
"side": "away",
"signal_key": "model_higher",
"signal_label": "Model Higher"
}
],
"status": "strong_market_ahead",
"status_label": "Strong Market Ahead",
"steam_note": "Drift away from Wiener Viktoria \u2014 odds lengthened by 10.7% (weakening support).",
"unavailable_note": ""
},
"interpretation": {
"has_conflict": true,
"paragraphs": [
"The betting market strongly prefers Leobendorf (29.4%).",
"However, Wiener Viktoria has seen one of the strongest multi-book drifts of the day (\u2191 +10.7%, 6/7) \u2014 odds lengthened, not shortened.",
"This creates a conflict: Model \u2192 Wiener Viktoria, Market \u2192 Leobendorf, while Wiener Viktoria odds drifted longer (market fade).",
"Because signals disagree, confidence remains limited."
],
"show": true,
"title": "OddsGPT Interpretation"
},
"lifecycle": {
"closing_implied_pct": 50.25,
"closing_odds": 1.99,
"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": 50.25,
"entry_odds": 1.99,
"match_phase": "upcoming",
"match_phase_detail": "",
"match_phase_display": "Upcoming",
"match_phase_label": "Upcoming",
"model_validation_label": "Warning",
"model_validation_status": "warning",
"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": "active"
},
{
"detail": "PRE1",
"id": "closing_recorded",
"label": "Closing Recorded",
"status": "done"
},
{
"detail": "",
"id": "clv_evaluated",
"label": "CLV Evaluated",
"status": "pending"
}
]
},
"market_move_intelligence": {
"books_reacting": 6,
"books_reacting_detail": [
{
"bookmaker_id": 2,
"bookmaker_name": "Marathonbet",
"is_sharp": false,
"move_delta_display": "\u2191 +15.5%",
"odds_delta_pct": 15.5
},
{
"bookmaker_id": 3,
"bookmaker_name": "Betfair",
"is_sharp": true,
"move_delta_display": "\u2191 +14.1%",
"odds_delta_pct": 14.1
},
{
"bookmaker_id": 32,
"bookmaker_name": "Betano",
"is_sharp": false,
"move_delta_display": "\u2191 +12.6%",
"odds_delta_pct": 12.6
},
{
"bookmaker_id": 8,
"bookmaker_name": "Bet365",
"is_sharp": true,
"move_delta_display": "\u2191 +10.7%",
"odds_delta_pct": 10.7
},
{
"bookmaker_id": 36,
"bookmaker_name": "BetVictor",
"is_sharp": false,
"move_delta_display": "\u2191 +10.0%",
"odds_delta_pct": 10.0
},
{
"bookmaker_id": 11,
"bookmaker_name": "1xBet",
"is_sharp": false,
"move_delta_display": "\u2191 +4.1%",
"odds_delta_pct": 4.1
}
],
"books_total": 7,
"breadth_display": "6/7",
"clv_label": "+0.00 pp",
"clv_status": "evaluated",
"current_odds": 2.9,
"is_drift": true,
"move_context": "Largest move today",
"move_display": "\u2191 +10.7%",
"move_pct_abs": 10.7,
"move_speed_icon": "\ud83d\udc22",
"move_speed_label": "Slow drift over 41h 30m",
"narrative_paragraphs": [
"Multi-book drift on Wiener Viktoria (10.7%, 6/7) \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": 10.7,
"odds_path": {
"chart_y_labels": [
"3.02",
"2.82",
"2.62"
],
"display": "3.06 \u2192 2.50 \u2192 2.90",
"move_speed_icon": "\ud83d\udc22",
"move_speed_label": "Slow drift over 41h 30m",
"pick_team": "Wiener Viktoria",
"points": [
{
"label_key": "open",
"value": "3.06"
},
{
"label_key": "extreme",
"value": "2.50"
},
{
"label_key": "current",
"value": "2.90"
}
],
"sparkline_points": [
2.62,
3.02,
2.9
],
"sparkline_polyline": "0.0,18.0 28.0,0.0 56.0,5.4",
"sparkline_trend": "up",
"sparkline_trend_label": "One-way rise",
"summary_boxes": [
{
"label_key": "open",
"value": "2.62"
},
{
"label_key": "low",
"value": "2.62"
},
{
"label_key": "high",
"value": "3.02"
},
{
"label_key": "current",
"value": "2.90"
}
]
},
"open_odds": 2.62,
"page_alert_line": "Broad drift across 6/7 sportsbooks on Wiener Viktoria",
"phase_label": "Market drift",
"phase_tip": "Broad lengthening \u2014 market pricing moves against the tracked side.",
"pick_team": "Wiener Viktoria",
"ref_book": "Bet365",
"seo_title_alert": "",
"sharp_leader": "Betfair",
"show": true,
"signal_badge_class": "fade",
"signal_icon": "\u2198",
"signal_impact": {
"current_odds": 2.9,
"is_drift": true,
"label": "Market Signal",
"move_display": "\u2191 +10.7%",
"open_odds": 2.62,
"summary": "Market moved away from Wiener Viktoria while the model still favours another side.",
"team": "Wiener Viktoria",
"tone": "against"
},
"signal_key": "market_drift",
"signal_label": "Drift",
"steam_score": 52,
"steam_subtitle": "Moderate sharp signal",
"steam_tier": "B",
"title": "Market Move Intelligence"
},
"market_overview": {
"breadth_display": "6/7",
"current_odds": 2.9,
"move_display": "\u2191 +10.7%",
"open_odds": 2.62,
"pick_team": "Wiener Viktoria",
"steam_score": 52,
"steam_team_name": "Wiener Viktoria",
"steam_tier": "B"
},
"premium_teaser": {
"current_divergence_pp": 11.8,
"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": "wiener-viktoria",
"away_expected_goals": null,
"away_goal_display": null,
"away_team_display_name": "Wiener Viktoria",
"away_team_id": 4966,
"away_team_logo": "/static/teams/4966.webp",
"away_team_name": "Wiener Viktoria",
"away_team_public_id": "4TsXl9SY3MV7Gq",
"away_team_slug": "wiener-viktoria",
"country_code": "AT",
"country_display_name": "Austria",
"country_flag": "/static/images/country/at.svg",
"country_id": 10,
"country_name": "Austria",
"fixture_id": 1574112,
"goals_away": null,
"goals_home": null,
"home_expected_goals": null,
"home_goal_display": null,
"home_team_country": "Austria",
"home_team_display_name": "Leobendorf",
"home_team_id": 4951,
"home_team_logo": "/static/teams/4951.webp",
"home_team_name": "Leobendorf",
"home_team_public_id": "27Wm5cdJ7q1tmM",
"home_team_slug": "leobendorf",
"ht.home_team_slug": "leobendorf",
"league_country": "Austria",
"league_country_display": "Austria",
"league_display_name": "Regionalliga Ost",
"league_id": 221,
"league_logo": "/static/leagues/221.webp",
"league_name": "Regionalliga Ost",
"league_public_id": "2TcTIsSni3IQjn",
"league_season": 2026,
"match_date": "2026-09-26 14:30:00",
"public_id": "44dZDI71RnpKVY",
"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": "Leobendorf",
"venue_name": "Franz Haas Stadion"
},
"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": 0.2634,
"best_odd": 3.02,
"calibration": {
"active": false,
"hook": "CALIBRATE_1X2_P_FINAL"
},
"edge": 0.0214,
"ev": -0.0465,
"implied_prob": 0.2943,
"joint_probs": {
"away": 0.2943,
"draw": 0.2591,
"home": 0.4466
},
"model_prob": 0.3757,
"p_final": 0.3157
},
"draw": {
"alpha": 0.2836,
"best_odd": 3.43,
"calibration": {
"active": false,
"hook": "CALIBRATE_1X2_P_FINAL"
},
"edge": 0.0104,
"ev": -0.0757,
"implied_prob": 0.2591,
"joint_probs": {
"away": 0.2943,
"draw": 0.2591,
"home": 0.4466
},
"model_prob": 0.2956,
"p_final": 0.2695
},
"ev_available": true,
"home": {
"alpha": 0.4939,
"best_odd": 1.99,
"calibration": {
"active": false,
"hook": "CALIBRATE_1X2_P_FINAL"
},
"edge": -0.0582,
"ev": -0.2271,
"implied_prob": 0.4466,
"joint_probs": {
"away": 0.2943,
"draw": 0.2591,
"home": 0.4466
},
"model_prob": 0.3287,
"p_final": 0.3884
}
},
"1x2_outlier": {
"1x2_ev_mode": "legacy_max_odd",
"away": {
"best_odd": 3.02,
"edge": 0.0445,
"ev": 0.1345,
"implied_prob": 0.3311,
"model_prob": 0.3757
},
"draw": {
"best_odd": 3.43,
"edge": 0.0041,
"ev": 0.014,
"implied_prob": 0.2915,
"model_prob": 0.2956
},
"ev_available": true,
"home": {
"best_odd": 1.99,
"edge": -0.1738,
"ev": -0.3459,
"implied_prob": 0.5025,
"model_prob": 0.3287
}
},
"btts": {
"alpha_no": 0.165,
"alpha_yes": 0.2269,
"best_no_odd": 2.34,
"best_yes_odd": 1.57,
"btts_ev_mode": "market_first_available",
"edge_no": 0.0535,
"edge_yes": -0.0535,
"ev_available": true,
"ev_no": 0.0647,
"ev_no_risk_adj": -0.0724,
"ev_yes": -0.1443,
"ev_yes_risk_adj": -0.1122,
"implied_no": 0.4015,
"implied_yes": 0.5985,
"market_first": {
"available": true,
"mode": "market_first_btts",
"n_bookmakers": 4,
"no": {
"alpha": 0.165,
"best_odd": 2.27,
"edge": 0.0092,
"ev": -0.0724,
"implied_prob": 0.3995,
"model_prob": 0.455,
"p_final": 0.4086
},
"prediction_confidence": "very_low",
"yes": {
"alpha": 0.2269,
"best_odd": 1.51,
"edge": -0.0126,
"ev": -0.1122,
"implied_prob": 0.6005,
"model_prob": 0.545,
"p_final": 0.5879
}
},
"n_bookmakers": 4,
"p_final_no": 0.4086,
"p_final_yes": 0.5879,
"prediction_confidence": "very_low",
"reliability": "medium"
},
"ou25": {
"alpha_over": 0.2127,
"alpha_under": 0.1934,
"best_over_odd": 1.61,
"best_under_odd": 2.3,
"consensus_over_odd": 1.585,
"consensus_under_odd": 2.15,
"edge_over": -0.0946,
"edge_under": 0.0946,
"ev_available": true,
"ev_over": -0.224,
"ev_over_risk_adj": -0.1192,
"ev_under": 0.1914,
"ev_under_risk_adj": -0.0487,
"implied_over": 0.5766,
"implied_over_mf": 0.5756,
"implied_under": 0.4234,
"implied_under_mf": 0.4244,
"market_first": {
"available": true,
"mode": "market_first_ou",
"n_bookmakers": 7,
"over": {
"alpha": 0.2127,
"best_odd": 1.585,
"edge": -0.0199,
"ev": -0.1192,
"implied_prob": 0.5756,
"model_prob": 0.482,
"p_final": 0.5557
},
"prediction_confidence": "very_low",
"under": {
"alpha": 0.1934,
"best_odd": 2.15,
"edge": 0.0181,
"ev": -0.0487,
"implied_prob": 0.4244,
"model_prob": 0.518,
"p_final": 0.4425
}
},
"n_bookmakers": 7,
"ou_ev_mode": "market_first_available",
"p_final_over": 0.5557,
"p_final_under": 0.4425,
"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": 0.1914,
"best_outlier_ev": 0.1914,
"best_tracked_ev": 0.1914,
"confidence": 6.5,
"decision_confidence_v1": {
"breakdown": [
"pred_conf_v1_primary_line",
"pred_conf_v1_primary_ev_above_10",
"pred_conf_v1_max_1x2_under_50",
"pred_conf_v1_multi_ev_lines"
],
"breakdown_resolved": [
"Primary line identified (+1.0)",
"Primary EV above 10% (+1.0)",
"Max 1X2 prob under 50% (no dominant 1X2) (\u22121.0)",
"Two or more valid +EV lines at threshold (+0.5)"
],
"breakdown_v2": [
"Base decision score (v1)",
"Market steam conflicts with model",
"Consensus-line +EV",
"Low xG separation (league-average noise)"
],
"score": 3.0,
"score_v1_legacy": 6.5,
"score_v2_pre_penalty": 4.0,
"strength_v2": true
},
"decision_strength_v2": {
"breakdown": [
"Base decision score (v1)",
"Market steam conflicts with model",
"Consensus-line +EV",
"Low xG separation (league-average noise)"
],
"score": 3.0,
"score_pre_penalty": 4.0
},
"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": 11.8,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 11.8,
"summary": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria."
},
"alignment_key": "conflict",
"best_consensus_ev": 0.1914,
"best_outlier_ev": 0.1914,
"confidence_band": "Moderate\u2013Low",
"decision_strength": 3.0,
"decision_strength_v1": 6.5,
"decision_strength_v2": 4.0,
"decision_type": "NO_SIGNAL",
"execution_confidence": 21,
"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 Wiener Viktoria at 37.6%, compared with a no-vig market probability of 29.4%.",
"why": [
{
"text": "Decision Model identifies Wiener Viktoria as the value side (37.6%)",
"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": 8.1,
"gates_failed": [
"Reliability 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 Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"model_conflict_detail": null,
"model_lean": "Wiener Viktoria",
"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": false,
"outlier_excluded_panel": "",
"primary_allowed": false,
"primary_block_explain": {
"entries": [
{
"key": "positive_ev",
"label": "Consensus EV +19.1% meets Primary gate (\u2265+5.0%)",
"ok": true
},
{
"key": "gate",
"label": "Reliability 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 +19.1% \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 +19.1% (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": false,
"value": "59 (\u226565)"
},
{
"key": "execution",
"label": "Exec",
"ok": false,
"value": "21 (\u226565)"
},
{
"key": "alignment",
"label": "Align",
"ok": false,
"value": "conflict"
},
{
"key": "consensus_ev",
"label": "ConsEV",
"ok": true,
"value": "+19.1% (\u2265+5.0%)"
},
{
"key": "top_pick",
"label": "Pick",
"ok": true,
"value": "true"
},
{
"key": "validation",
"label": "Validation",
"ok": true,
"value": "true"
}
],
"passed": 5,
"total": 8
},
"primary_type": null,
"reasons": [
"The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"Decision strength: 3.0/10",
"Reliability below 65"
],
"reliability_score": 59,
"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)",
"Market steam conflicts with model",
"Consensus-line +EV",
"Low xG separation (league-average noise)"
],
"subline": "The market has moved away from Wiener Viktoria, but the model still strongly favours Wiener Viktoria.",
"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": -0.0465,
"consensus_ev_display": "-4.7%",
"consensus_odds": 3.02,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2943,
"is_extreme_disagreement": false,
"model_prob": 0.3757,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.33112582781456956,
"raw_signal_ev": 0.1346,
"raw_signal_ev_display": "+13.5%"
},
"version": "v2.5",
"xg_calibration": {
"block_value_alert": false,
"calibration_status": "warning",
"deviation_pct": 0.0,
"reasons": [
"Thin xG separation gap=0.1"
],
"recommended_action": "monitor",
"strength_delta": -1.0,
"uplift_away": null,
"uplift_home": null,
"xg_separation": {
"band": "low",
"block_value_alert": false,
"separation_score": -10,
"strength_delta": -1.0,
"xg_gap": 0.1
}
}
},
"game_type": {
"label_zh": "\u5747\u8861\uff08\u5f00\u653e\u8d5b\u679c\uff09",
"scoring_type": "balanced",
"signals": {
"btts_yes_prob": 0.545,
"draw_prob": 0.2956,
"max_1x2_prob": 0.3757,
"over_prob": 0.482,
"total_xg": 2.6,
"under_prob": 0.518,
"xg_diff": 0.1
},
"type": "balanced",
"typing_weights_enabled": true
},
"hero_display_pick": null,
"hero_mode": "default",
"longshot_picks": [],
"markets": {
"1x2": {
"consensus_odds": 3.02,
"decision": "no_bet",
"edge": 0.0214,
"ev": -0.0465,
"implied_prob": 0.2943,
"max_ev_side": "away",
"model_prob": 0.3757,
"side": "away",
"side_label": "Wiener Viktoria"
},
"btts": {
"decision": "value_bet",
"decision_layer": {
"alpha": 0.165,
"available": true,
"consensus_odds": 2.27,
"edge": 0.0092,
"market_prob": 0.3995,
"mode": "market_first_btts",
"model_prob": 0.455,
"n_bookmakers": 4,
"no": {
"alpha": 0.165,
"best_odd": 2.27,
"edge": 0.0092,
"ev": -0.0724,
"implied_prob": 0.3995,
"model_prob": 0.455,
"p_final": 0.4086
},
"p_final": 0.4086,
"prediction_confidence": "very_low",
"risk_adj_ev": -0.0724,
"value_side": "no",
"yes": {
"alpha": 0.2269,
"best_odd": 1.51,
"edge": -0.0126,
"ev": -0.1122,
"implied_prob": 0.6005,
"model_prob": 0.545,
"p_final": 0.5879
}
},
"edge": 0.0535,
"ev": 0.0647,
"implied_prob": 0.4015,
"model_prob": 0.455,
"side": "no",
"value_side": "no"
},
"ou_2_5": {
"decision": "value_bet",
"decision_layer": {
"alpha": 0.1934,
"available": true,
"consensus_odds": 2.15,
"edge": 0.0181,
"market_prob": 0.4244,
"mode": "market_first_ou",
"model_prob": 0.518,
"n_bookmakers": 7,
"over": {
"alpha": 0.2127,
"best_odd": 1.585,
"edge": -0.0199,
"ev": -0.1192,
"implied_prob": 0.5756,
"model_prob": 0.482,
"p_final": 0.5557
},
"p_final": 0.4425,
"prediction_confidence": "very_low",
"risk_adj_ev": -0.0487,
"under": {
"alpha": 0.1934,
"best_odd": 2.15,
"edge": 0.0181,
"ev": -0.0487,
"implied_prob": 0.4244,
"model_prob": 0.518,
"p_final": 0.4425
},
"value_side": "under"
},
"edge": 0.0946,
"ev": 0.1914,
"implied_prob": 0.4234,
"model_prob": 0.518,
"side": "under",
"value_side": "under"
}
},
"match_id": 1574112,
"match_regime": {
"action": "bet",
"actionable": true,
"clear_edge": true,
"code": "clear_edge",
"execution_line_key": null,
"insight_line_key": null,
"max_valid_ev": 0.1914,
"min_ev": 0.02,
"stake_mult": 1.0,
"use_split_strip": false
},
"match_tier": "value_game",
"no_clear_primary": false,
"probabilities": {
"away": 0.3757,
"draw": 0.2956,
"home": 0.3287
},
"reason_codes": [
"no_ev_1x2"
],
"secondary_pick": null,
"secondary_picks": [],
"show_betting_primary_label": false,
"suppressed_primary": null,
"teams": {
"away": "Wiener Viktoria",
"home": "Leobendorf"
},
"top_pick": {
"composite_score": 0.069402,
"decision": "value_bet",
"ev": 0.1914,
"implied_prob": 0.4234,
"market": "ou_2_5",
"model_prob": 0.518,
"not_dominant": false,
"primary_strength": "clear",
"risk_band": "strong",
"risk_tier": "primary",
"side": "under",
"slot": "primary",
"speculative_primary": false
},
"valid_markets_count": 2,
"value_context_1x2": {
"consensus_ev": -0.0465,
"consensus_ev_display": "-4.7%",
"consensus_odds": 3.02,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2943,
"is_extreme_disagreement": false,
"model_prob": 0.3757,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.33112582781456956,
"raw_signal_ev": 0.1346,
"raw_signal_ev_display": "+13.5%"
}
}
},
"fixture_id": 1574112,
"generated_at_utc": "2026-09-26T14:30:35.844694+00:00",
"lang_id": "en"
}
Terokai Kandungan Ramalan Lain
Dapatkan Ramalan Premium untuk Leobendorf & Wiener Viktoria!
Buka analisis mendalam, tip pertaruhan eksklusif, dan ramalan perlawanan dengan perkhidmatan langganan premium kami.
Langgan Sekarang
Regionalliga Ost — Kedudukan
| # | PASUKAN | P | M | S | K | Mata |
|---|---|---|---|---|---|---|
| 1 | Mannsdorf-Großenzersdorf | 9 | 7 | 0 | 2 | 21 |
| 2 | Wiener SC | 9 | 6 | 1 | 2 | 19 |
| 3 | Oberwart | 9 | 6 | 0 | 3 | 18 |
| 4 | Traiskirchen | 9 | 5 | 2 | 2 | 17 |
| 5 | Wiener Viktoria | 9 | 5 | 1 | 3 | 16 |
| 6 | Scheiblingkirchen | 9 | 4 | 3 | 2 | 15 |
| 7 | Parndorf | 9 | 4 | 2 | 3 | 14 |
| 8 | Fach-Donaufeld | 9 | 4 | 2 | 3 | 14 |
| 9 | SV Horn | 9 | 3 | 2 | 4 | 11 |
| 10 | Krems / Rehberg | 9 | 3 | 2 | 4 | 11 |
| 11 | Leobendorf | 9 | 3 | 2 | 4 | 11 |
| 12 | Mattersburg SV 2020 | 9 | 3 | 1 | 5 | 10 |
| 13 | Donau | 9 | 2 | 4 | 3 | 10 |
| 14 | Favoritner AC | 9 | 3 | 0 | 6 | 9 |
| 15 | Gloggnitz | 9 | 2 | 2 | 5 | 8 |
| 16 | Wienerberg | 9 | 0 | 0 | 9 | 0 |
| # | PASUKAN | P | J | B | +/- | Mata |
|---|---|---|---|---|---|---|
| 1 | Mannsdorf-Großenzersdorf | 9 | 25 | 9 | +16 | 21 |
| 2 | Traiskirchen | 9 | 23 | 19 | +4 | 17 |
| 3 | Wiener SC | 9 | 21 | 7 | +14 | 19 |
| 4 | Oberwart | 9 | 18 | 12 | +6 | 18 |
| 5 | Wiener Viktoria | 9 | 15 | 9 | +6 | 16 |
| 6 | Parndorf | 9 | 15 | 13 | +2 | 14 |
| 7 | Scheiblingkirchen | 9 | 15 | 16 | -1 | 15 |
| 8 | Donau | 9 | 15 | 18 | -3 | 10 |
| 9 | SV Horn | 9 | 13 | 12 | +1 | 11 |
| 10 | Krems / Rehberg | 9 | 13 | 12 | +1 | 11 |
| 11 | Fach-Donaufeld | 9 | 11 | 10 | +1 | 14 |
| 12 | Mattersburg SV 2020 | 9 | 11 | 13 | -2 | 10 |
| 13 | Gloggnitz | 9 | 11 | 19 | -8 | 8 |
| 14 | Leobendorf | 9 | 10 | 13 | -3 | 11 |
| 15 | Favoritner AC | 9 | 6 | 12 | -6 | 9 |
| 16 | Wienerberg | 9 | 6 | 34 | -28 | 0 |