AI correctly predicted the Wiener Viktoria win.
The match finished 0–1, validating the model's directional assessment.
Mercados rastreados versus resultado de tiempo completo
Grado de predicción
A
Cada fila compara el modelo previo al partido con el resultado de tiempo completo.
- Mercado Predicción Resultado Resultado
- Más / Menos 2.5 Menos de 2.5 Menos de 2.5 (1 objetivos) ✔ Correcto
- Ambos Equipos Marcarán BTTS No No ✔ Correcto
- 1X2 Wiener Viktoria Wiener Viktoria ✔ Correcto
- Perspectivas de marcador exacto 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correcto
Modelo vs Mercado de Cierre
| Resultado | Modelo | Mercado de cierre | Diferencia | Señal |
|---|---|---|---|---|
| Fach-Donaufeld | 34.7% | 48.9% | -14.2 pp | Market Higher |
| Draw | 29.6% | 23.6% | +6.1 pp | Model Higher |
| Wiener Viktoria | 35.6% | 27.5% | +8.1 pp | Model Higher |
The closing market estimates Fach-Donaufeld's win probability at 48.9%, compared with the model's estimate of 34.7%, a difference of 14.2 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: PRE5.
Después del tiempo completo, la inclinación direccional del modelo coincidió con el resultado (Wiener Viktoria win 0–1).
Market Assessment
The market is materially more optimistic about Fach-Donaufeld 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 (49.8% vs model 35.6%, 14.2 pp), but the model's lean was validated (Wiener Viktoria win 0–1).
Casa de apuestas premium stake: los nuevos usuarios pueden usar el código promoFHn2uDc1 FHn2uDc1. Registrarse
Cronología de predicción
Cómo esta predicción pasó del pronóstico a la revisión a tiempo completo.
-
Sep 12, 2026 · 14:05 UTC Forecast generated
- Model 1X2 · Fach-Donaufeld 34.7% · Draw 29.7% · Wiener Viktoria 35.6%
- xG · Fach-Donaufeld 1.29 — Wiener Viktoria 1.31
-
Sep 12, 2026 · 13:41 UTC Opening odds snapshot PRE30
- 1X2 odds · Fach-Donaufeld 1.83 · Draw 3.80 · Wiener Viktoria 3.25
- Implied 1X2 · Fach-Donaufeld 48.9% · Draw 23.6% · Wiener Viktoria 27.5%
- Bookmaker · Bet365
-
Sep 12, 2026 · 14:05 UTC Closing snapshot recorded PRE5
- 1X2 odds · Fach-Donaufeld 1.83 · Draw 3.80 · Wiener Viktoria 3.25
- Implied 1X2 · Fach-Donaufeld 48.9% · Draw 23.6% · Wiener Viktoria 27.5%
- Bookmaker · Bet365
-
Sep 12, 2026 · 14:00 UTC Kickoff
-
FT Full-time result Wiener Viktoria win · 0–1
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Instantánea histórica
Congelado en el inicio: el resultado del modelo tal como estaba antes de que comenzara el partido.
Veredicto histórico:
Monitor
Decisión histórica
Monitor
Resultado
Validated
Métricas previas al partido (contexto histórico)
Fiabilidad de predicción
56/100
· Moderate
- Validation: Warning
- Large market gap (14 pp)
Evidencia
★★★★★
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
Pricing proximity (inverse gap)
9/100
Monitoring Confidence
19/100
Validation Report
Immutable Snapshot
Closing Odds
1.83
AI Fair Odds
—
CLV
Pending
Final Result
Wiener Viktoria win · Fach-Donaufeld 0–1 Wiener Viktoria
Prediction
✔ Correct
Decision Grade
A
Model Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Revisar preguntas frecuentes
- ¿Qué tan precisa fue la predicción?
- Esta página clasifica los mercados direccionales (1X2, Más/Menos de 2,5, BTTS) con respecto al resultado final. El grado de predicción refleja cuántos de esos mercados rastreados coincidieron con la realidad.
- ¿Qué mide la precisión xG?
- xG Accuracy compara el perfil de goles esperados previo al partido del modelo con el marcador real, no si todos los mercados acertaron. Una revisión direccional sólida puede coexistir con una puntuación de precisión xG moderada.
- ¿Por qué no se predijo la puntuación exacta?
- Los resultados de puntuación correcta son colas de baja probabilidad incluso cuando el modelo lee bien el perfil de coincidencia. Destacamos los contenedores de puntuación más altos para el contexto; faltar la línea exacta no invalida una revisión direccional.
- ¿Esto mejora el registro de IA?
- Cada partido finalizado se registra en nuestro proceso de validación. Las tasas de aciertos agregadas y los estudios CLV se publican por separado; esta página es el registro de auditoría por partido.
Las predicciones son sólo para fines informativos. Juega siempre de forma responsable y dentro de tus límites. El rendimiento pasado no garantiza resultados futuros.
El informe IA aún no está disponible para este partido. Vuelva a ejecutar «Generación masiva de cuotas» tras actualizar el servidor para generar el resumen.
View technical JSON
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],
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"subtype": "probability_gap",
"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 +25.4% 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 +25.4% \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 +25.4% (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": "64 (\u226565)"
},
{
"key": "execution",
"label": "Exec",
"ok": false,
"value": "22 (\u226565)"
},
{
"key": "alignment",
"label": "Align",
"ok": false,
"value": "conflict"
},
{
"key": "consensus_ev",
"label": "ConsEV",
"ok": true,
"value": "+25.4% (\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 repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria.",
"Decision strength: 3.0/10",
"Reliability below 65"
],
"reliability_score": 64,
"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 repriced Fach-Donaufeld, 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": -0.0359,
"consensus_ev_display": "-3.6%",
"consensus_odds": 3.25,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2754,
"is_extreme_disagreement": false,
"model_prob": 0.3559,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.3076923076923077,
"raw_signal_ev": 0.1567,
"raw_signal_ev_display": "+15.7%"
},
"version": "v2.5",
"xg_calibration": {
"block_value_alert": true,
"calibration_status": "warning",
"deviation_pct": -3.0,
"reasons": [
"Low xG separation gap=0.02 (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": 0.02
}
}
},
"bet_status": "no_bet",
"books_breadth_display": "3/3",
"breadth_ratio": 1.0,
"evidence": {
"score": 55,
"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": "\u25cb",
"key": "steam",
"label": "Sharp steam detected",
"status": "neutral"
},
{
"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 (14 pp)",
"tone": "caution"
}
],
"parts": {
"alignment": 17.9,
"data_quality": 12.0,
"market_coverage": 10.0,
"steam_coherence": 5.0,
"validation": 14.0
},
"score": 64,
"stars": 3,
"tier": "moderate",
"tier_label": "Moderate"
},
"lean_gap_pp": 14.21,
"market_agreement": "weak",
"max_gap_pp": 14.21,
"model_calibration": {
"away_xg": 1.31,
"calibration_status": "ok",
"deviation_pct": -3.0,
"elevated": false,
"home_xg": 1.29,
"impact_note": "",
"league_avg_xg": 1.35,
"peak_xg": 1.31,
"status_label": "Within typical league range",
"summary": "Home xG 1.29 \u00b7 Away xG 1.31 \u00b7 League avg 1.35 \u00b7 Peak deviation -3%",
"title": "Model Calibration Check"
},
"move_is_drift": false,
"mv_status": "warning",
"odds_delta_pct": 0.0,
"steam_conflicts": null,
"steam_move_display": "+0.0%",
"steam_team": "Fach-Donaufeld",
"suppress_execution": false,
"value_split": {
"execution_confidence": {
"label": "Monitoring Confidence",
"score": 22,
"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": 35,
"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 repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria.",
"alignment": {
"direction_aligned": false,
"direction_key": "conflict",
"gap_pp": 14.2,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 14.2,
"summary": "The market has repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria."
},
"authority": {
"action": "no_bet",
"alignment": {
"direction_aligned": false,
"direction_key": "conflict",
"gap_pp": 14.2,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 14.2,
"summary": "The market has repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria."
},
"alignment_key": "conflict",
"best_consensus_ev": 0.2536,
"best_outlier_ev": 0.2536,
"confidence_band": "Moderate\u2013Low",
"decision_strength": 3.0,
"decision_strength_v1": 6.5,
"decision_strength_v2": 4.1,
"decision_type": "NO_SIGNAL",
"execution_confidence": 22,
"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 35.6%, compared with a no-vig market probability of 27.5%.",
"why": [
{
"text": "Decision Model identifies Wiener Viktoria as the value side (35.6%)",
"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 repriced Fach-Donaufeld, 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": "probability_gap",
"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 +25.4% 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 +25.4% \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 +25.4% (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": "64 (\u226565)"
},
{
"key": "execution",
"label": "Exec",
"ok": false,
"value": "22 (\u226565)"
},
{
"key": "alignment",
"label": "Align",
"ok": false,
"value": "conflict"
},
{
"key": "consensus_ev",
"label": "ConsEV",
"ok": true,
"value": "+25.4% (\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 repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria.",
"Decision strength: 3.0/10",
"Reliability below 65"
],
"reliability_score": 64,
"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 repriced Fach-Donaufeld, 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": -0.0359,
"consensus_ev_display": "-3.6%",
"consensus_odds": 3.25,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2754,
"is_extreme_disagreement": false,
"model_prob": 0.3559,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.3076923076923077,
"raw_signal_ev": 0.1567,
"raw_signal_ev_display": "+15.7%"
},
"version": "v2.5",
"xg_calibration": {
"block_value_alert": true,
"calibration_status": "warning",
"deviation_pct": -3.0,
"reasons": [
"Low xG separation gap=0.02 (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": 0.02
}
}
},
"headline": "No Primary Bet",
"icon": "\u25cb",
"label": "No Primary Bet",
"subline": "The market has repriced Fach-Donaufeld, 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: Fach-Donaufeld 1.29 xG vs Wiener Viktoria 1.31 \u2192 Wiener Viktoria 35.6%",
"Market: Fach-Donaufeld ~27.5% implied",
"Market Steam: Fach-Donaufeld +0.0%"
],
"one_liner": "Model and market both lean Wiener Viktoria with no major conflict.",
"title": "Why?"
}
},
"edge_rows": [
{
"edge_pp": -14.21,
"fair_prob": 34.7,
"label": "Fach-Donaufeld",
"market_prob": 48.91,
"market_type": "1x2",
"outcome": "home"
},
{
"edge_pp": 6.1,
"fair_prob": 29.65,
"label": "Draw",
"market_prob": 23.55,
"market_type": "1x2",
"outcome": "draw"
},
{
"edge_pp": 8.1,
"fair_prob": 35.64,
"label": "Wiener Viktoria",
"market_prob": 27.54,
"market_type": "1x2",
"outcome": "away"
},
{
"edge_pp": -13.88,
"fair_prob": 48.2,
"label": "Over 2.5",
"market_prob": 62.08,
"market_type": "ou25",
"outcome": "over"
},
{
"edge_pp": 13.88,
"fair_prob": 51.8,
"label": "Under 2.5",
"market_prob": 37.92,
"market_type": "ou25",
"outcome": "under"
},
{
"edge_pp": -8.51,
"fair_prob": 54.5,
"label": "BTTS Yes",
"market_prob": 63.01,
"market_type": "btts",
"outcome": "yes"
},
{
"edge_pp": 8.51,
"fair_prob": 45.5,
"label": "BTTS No",
"market_prob": 36.99,
"market_type": "btts",
"outcome": "no"
}
],
"edge_snapshot": {
"edge_label": "strong_disagreement",
"edge_pp": -14.21,
"fair_prob_pct": 34.7,
"hero_side": "home",
"hero_team_name": "Fach-Donaufeld",
"market_prob_pct": 48.91,
"status": "strong_market_ahead",
"steam_team_name": "Fach-Donaufeld"
},
"fair_source": "poisson_pipeline",
"fair_vs_market": {
"closing_capture": "PRE5",
"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: PRE5.",
"comparison_available": true,
"comparison_disabled": false,
"comparison_summary": "The closing market estimates Fach-Donaufeld\u0027s win probability at 48.9%, compared with the model\u0027s estimate of 34.7%, a difference of 14.2 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": 14.21,
"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: PRE5.",
"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": 27.5,
"model_prob_gap_display": "+8.1 percentage points",
"model_prob_gap_pp": 8.1,
"model_prob_pct": 35.6,
"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": 64,
"reliability_tier": "limited",
"summary": "The market has repriced Fach-Donaufeld, 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": 22,
"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": 35,
"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: Fach-Donaufeld 1.29 xG vs Wiener Viktoria 1.31 \u2192 Wiener Viktoria 35.6%",
"Market: Fach-Donaufeld ~27.5% implied",
"Market Steam: Fach-Donaufeld +0.0%"
],
"one_liner": "Model and market both lean Wiener Viktoria with no major conflict.",
"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": -14.21,
"hero_label": "Fach-Donaufeld",
"hero_side": "home",
"market_activity": "No meaningful directional movement yet.",
"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": "",
"gap_tier": "strong",
"lead": "The market is materially more optimistic about Fach-Donaufeld than the current fair estimate.",
"note": "Market activity aligns with the largest pricing gap on Fach-Donaufeld.",
"paragraphs": [
"The market is materially more optimistic about Fach-Donaufeld than the current fair estimate.",
"Market activity aligns with the largest pricing gap on Fach-Donaufeld."
],
"quiet_market": false,
"title": "Market Assessment"
},
"market_narrative": {
"paragraphs": [
"The market favors Fach-Donaufeld more strongly than the current fair estimate.",
"Recent line movement on Fach-Donaufeld (+0.0%) aligns with the pricing gap.",
"Broad sportsbook alignment (3/3) supports the current market view on Fach-Donaufeld."
],
"title": "Current Market Narrative"
},
"market_source": "closing_1x2",
"max_gap_pp": 14.21,
"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.",
"Top two 1X2 outcomes within 0.9 percentage points."
],
"lead_gap_pp": 0.9,
"max_prob_pct": 35.6,
"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": "strong",
"largest_gap_label": "Fach-Donaufeld",
"largest_gap_pp": -14.2,
"lead": "The closing market prices Fach-Donaufeld higher than the statistical model.",
"level": "strong",
"max_gap_pp": 14.2,
"title": "Strong Disagreement"
},
"rows": [
{
"difference_pp": -14.21,
"edge_pp": -14.21,
"fair_prob_pct": 34.7,
"is_hero": true,
"label": "Fach-Donaufeld",
"market_prob_pct": 48.91,
"side": "home",
"signal_key": "market_higher",
"signal_label": "Market Higher"
},
{
"difference_pp": 6.1,
"edge_pp": 6.1,
"fair_prob_pct": 29.65,
"is_hero": false,
"label": "Draw",
"market_prob_pct": 23.55,
"side": "draw",
"signal_key": "model_higher",
"signal_label": "Model Higher"
},
{
"difference_pp": 8.1,
"edge_pp": 8.1,
"fair_prob_pct": 35.64,
"is_hero": false,
"label": "Wiener Viktoria",
"market_prob_pct": 27.54,
"side": "away",
"signal_key": "model_higher",
"signal_label": "Model Higher"
}
],
"status": "strong_market_ahead",
"status_label": "Strong Market Ahead",
"steam_note": "Market activity aligns with the largest pricing gap on Fach-Donaufeld.",
"unavailable_note": ""
},
"interpretation": {
"has_conflict": true,
"paragraphs": [
"The betting market strongly prefers Fach-Donaufeld (27.5%).",
"This creates a conflict: Model \u2192 Wiener Viktoria, Market \u2192 Fach-Donaufeld, Recent sharp money \u2192 recent line movement.",
"Because signals disagree, confidence remains limited."
],
"show": true,
"title": "OddsGPT Interpretation"
},
"lifecycle": {
"closing_implied_pct": 54.64,
"closing_odds": 1.83,
"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": 54.64,
"entry_odds": 1.83,
"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": "PRE5",
"id": "closing_recorded",
"label": "Closing Recorded",
"status": "done"
},
{
"detail": "",
"id": "clv_evaluated",
"label": "CLV Evaluated",
"status": "pending"
}
]
},
"market_move_intelligence": {
"show": false
},
"market_overview": {
"breadth_display": "3/3",
"current_odds": 1.83,
"move_display": "+0.0%",
"open_odds": 1.83,
"pick_team": "Fach-Donaufeld",
"steam_score": 38,
"steam_team_name": "Fach-Donaufeld",
"steam_tier": "C"
},
"premium_teaser": {
"current_divergence_pp": 14.2,
"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": 1574094,
"goals_away": null,
"goals_home": null,
"home_expected_goals": null,
"home_goal_display": null,
"home_team_country": "Austria",
"home_team_display_name": "Fach-Donaufeld",
"home_team_id": 8366,
"home_team_logo": "/static/teams/8366.webp",
"home_team_name": "Fach-Donaufeld",
"home_team_public_id": "3oelhedfIfOwqE",
"home_team_slug": "fach-donaufeld",
"ht.home_team_slug": "fach-donaufeld",
"league_country": "Austria",
"league_country_display": "Austria",
"league_display_name": "Regionalliga Este",
"league_id": 221,
"league_logo": "/static/leagues/221.webp",
"league_name": "Regionalliga Este",
"league_public_id": "2TcTIsSni3IQjn",
"league_season": 2026,
"match_date": "2026-09-12 14:00:00",
"public_id": "1gTzVMZgxnHVw8",
"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",
"pred_conf_md_few_books_btts"
],
"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)",
"Few bookmakers for BTTS odds (edge less reliable) (\u22120.5)"
],
"score": 5.5
},
"markets": {
"1x2": {
"1x2_ev_mode": "market_first_p15",
"away": {
"alpha": 0.2638,
"best_odd": 3.25,
"calibration": {
"active": false,
"hook": "CALIBRATE_1X2_P_FINAL"
},
"edge": 0.0212,
"ev": -0.0359,
"implied_prob": 0.2754,
"joint_probs": {
"away": 0.2754,
"draw": 0.2355,
"home": 0.4891
},
"model_prob": 0.3559,
"p_final": 0.2966
},
"draw": {
"alpha": 0.2724,
"best_odd": 3.8,
"calibration": {
"active": false,
"hook": "CALIBRATE_1X2_P_FINAL"
},
"edge": 0.0167,
"ev": -0.0416,
"implied_prob": 0.2355,
"joint_probs": {
"away": 0.2754,
"draw": 0.2355,
"home": 0.4891
},
"model_prob": 0.2968,
"p_final": 0.2522
},
"ev_available": true,
"home": {
"alpha": 0.4724,
"best_odd": 1.83,
"calibration": {
"active": false,
"hook": "CALIBRATE_1X2_P_FINAL"
},
"edge": -0.067,
"ev": -0.2276,
"implied_prob": 0.4891,
"joint_probs": {
"away": 0.2754,
"draw": 0.2355,
"home": 0.4891
},
"model_prob": 0.3473,
"p_final": 0.4221
}
},
"1x2_outlier": {
"1x2_ev_mode": "legacy_max_odd",
"away": {
"best_odd": 3.25,
"edge": 0.0482,
"ev": 0.1568,
"implied_prob": 0.3077,
"model_prob": 0.3559
},
"draw": {
"best_odd": 3.8,
"edge": 0.0336,
"ev": 0.1278,
"implied_prob": 0.2632,
"model_prob": 0.2968
},
"ev_available": true,
"home": {
"best_odd": 1.83,
"edge": -0.1992,
"ev": -0.3645,
"implied_prob": 0.5464,
"model_prob": 0.3473
}
},
"btts": {
"alpha_no": 0.1099,
"alpha_yes": 0.1511,
"best_no_odd": 2.5,
"best_yes_odd": 1.45,
"btts_ev_mode": "market_first_available",
"edge_no": 0.0851,
"edge_yes": -0.0851,
"ev_available": true,
"ev_no": 0.1375,
"ev_no_risk_adj": -0.0632,
"ev_yes": -0.2097,
"ev_yes_risk_adj": -0.105,
"implied_no": 0.3699,
"implied_yes": 0.6301,
"market_first": {
"available": true,
"mode": "market_first_btts",
"n_bookmakers": 2,
"no": {
"alpha": 0.1099,
"best_odd": 2.47,
"edge": 0.0094,
"ev": -0.0632,
"implied_prob": 0.3699,
"model_prob": 0.455,
"p_final": 0.3793
},
"prediction_confidence": "very_low",
"yes": {
"alpha": 0.1511,
"best_odd": 1.45,
"edge": -0.0129,
"ev": -0.105,
"implied_prob": 0.6301,
"model_prob": 0.545,
"p_final": 0.6172
}
},
"n_bookmakers": 2,
"p_final_no": 0.3793,
"p_final_yes": 0.6172,
"prediction_confidence": "very_low",
"reliability": "low"
},
"ou25": {
"alpha_over": 0.1937,
"alpha_under": 0.1409,
"best_over_odd": 1.53,
"best_under_odd": 2.42,
"consensus_over_odd": 1.44,
"consensus_under_odd": 2.42,
"edge_over": -0.1388,
"edge_under": 0.1388,
"ev_available": true,
"ev_over": -0.2625,
"ev_over_risk_adj": -0.1376,
"ev_under": 0.2536,
"ev_under_risk_adj": -0.0478,
"implied_over": 0.6208,
"implied_over_mf": 0.6269,
"implied_under": 0.3792,
"implied_under_mf": 0.3731,
"market_first": {
"available": true,
"mode": "market_first_ou",
"n_bookmakers": 3,
"over": {
"alpha": 0.1937,
"best_odd": 1.44,
"edge": -0.0281,
"ev": -0.1376,
"implied_prob": 0.6269,
"model_prob": 0.482,
"p_final": 0.5989
},
"prediction_confidence": "very_low",
"under": {
"alpha": 0.1409,
"best_odd": 2.42,
"edge": 0.0204,
"ev": -0.0478,
"implied_prob": 0.3731,
"model_prob": 0.518,
"p_final": 0.3935
}
},
"n_bookmakers": 3,
"ou_ev_mode": "market_first_available",
"p_final_over": 0.5989,
"p_final_under": 0.3935,
"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": 0.2536,
"best_outlier_ev": 0.2536,
"best_tracked_ev": 0.2536,
"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": 4.1,
"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": 4.1
},
"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": 14.2,
"key": "conflict",
"label": "Disagree",
"model_strong": false,
"pricing_aligned": true,
"pricing_key": "moderate",
"probability_gap_pp": 14.2,
"summary": "The market has repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria."
},
"alignment_key": "conflict",
"best_consensus_ev": 0.2536,
"best_outlier_ev": 0.2536,
"confidence_band": "Moderate\u2013Low",
"decision_strength": 3.0,
"decision_strength_v1": 6.5,
"decision_strength_v2": 4.1,
"decision_type": "NO_SIGNAL",
"execution_confidence": 22,
"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 35.6%, compared with a no-vig market probability of 27.5%.",
"why": [
{
"text": "Decision Model identifies Wiener Viktoria as the value side (35.6%)",
"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 repriced Fach-Donaufeld, 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": "probability_gap",
"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 +25.4% 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 +25.4% \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 +25.4% (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": "64 (\u226565)"
},
{
"key": "execution",
"label": "Exec",
"ok": false,
"value": "22 (\u226565)"
},
{
"key": "alignment",
"label": "Align",
"ok": false,
"value": "conflict"
},
{
"key": "consensus_ev",
"label": "ConsEV",
"ok": true,
"value": "+25.4% (\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 repriced Fach-Donaufeld, but the model still strongly favours Wiener Viktoria.",
"Decision strength: 3.0/10",
"Reliability below 65"
],
"reliability_score": 64,
"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 repriced Fach-Donaufeld, 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": -0.0359,
"consensus_ev_display": "-3.6%",
"consensus_odds": 3.25,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2754,
"is_extreme_disagreement": false,
"model_prob": 0.3559,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.3076923076923077,
"raw_signal_ev": 0.1567,
"raw_signal_ev_display": "+15.7%"
},
"version": "v2.5",
"xg_calibration": {
"block_value_alert": true,
"calibration_status": "warning",
"deviation_pct": -3.0,
"reasons": [
"Low xG separation gap=0.02 (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": 0.02
}
}
},
"game_type": {
"label_zh": "\u5747\u8861\uff08\u5f00\u653e\u8d5b\u679c\uff09",
"scoring_type": "balanced",
"signals": {
"btts_yes_prob": 0.545,
"draw_prob": 0.2968,
"max_1x2_prob": 0.3559,
"over_prob": 0.482,
"total_xg": 2.6,
"under_prob": 0.518,
"xg_diff": 0.02
},
"type": "balanced",
"typing_weights_enabled": true
},
"hero_display_pick": null,
"hero_mode": "default",
"longshot_picks": [],
"markets": {
"1x2": {
"consensus_odds": 3.25,
"decision": "no_bet",
"edge": 0.0212,
"ev": -0.0359,
"implied_prob": 0.2754,
"max_ev_side": "away",
"model_prob": 0.3559,
"side": "away",
"side_label": "Wiener Viktoria"
},
"btts": {
"decision": "value_bet",
"decision_layer": {
"alpha": 0.1099,
"available": true,
"consensus_odds": 2.47,
"edge": 0.0094,
"market_prob": 0.3699,
"mode": "market_first_btts",
"model_prob": 0.455,
"n_bookmakers": 2,
"no": {
"alpha": 0.1099,
"best_odd": 2.47,
"edge": 0.0094,
"ev": -0.0632,
"implied_prob": 0.3699,
"model_prob": 0.455,
"p_final": 0.3793
},
"p_final": 0.3793,
"prediction_confidence": "very_low",
"risk_adj_ev": -0.0632,
"value_side": "no",
"yes": {
"alpha": 0.1511,
"best_odd": 1.45,
"edge": -0.0129,
"ev": -0.105,
"implied_prob": 0.6301,
"model_prob": 0.545,
"p_final": 0.6172
}
},
"edge": 0.0851,
"ev": 0.1375,
"implied_prob": 0.3699,
"model_prob": 0.455,
"side": "no",
"value_side": "no"
},
"ou_2_5": {
"decision": "value_bet",
"decision_layer": {
"alpha": 0.1409,
"available": true,
"consensus_odds": 2.42,
"edge": 0.0204,
"market_prob": 0.3731,
"mode": "market_first_ou",
"model_prob": 0.518,
"n_bookmakers": 3,
"over": {
"alpha": 0.1937,
"best_odd": 1.44,
"edge": -0.0281,
"ev": -0.1376,
"implied_prob": 0.6269,
"model_prob": 0.482,
"p_final": 0.5989
},
"p_final": 0.3935,
"prediction_confidence": "very_low",
"risk_adj_ev": -0.0478,
"under": {
"alpha": 0.1409,
"best_odd": 2.42,
"edge": 0.0204,
"ev": -0.0478,
"implied_prob": 0.3731,
"model_prob": 0.518,
"p_final": 0.3935
},
"value_side": "under"
},
"edge": 0.1388,
"ev": 0.2536,
"implied_prob": 0.3792,
"model_prob": 0.518,
"side": "under",
"value_side": "under"
}
},
"match_id": 1574094,
"match_regime": {
"action": "bet",
"actionable": true,
"clear_edge": true,
"code": "clear_edge",
"execution_line_key": null,
"insight_line_key": null,
"max_valid_ev": 0.2536,
"min_ev": 0.02,
"stake_mult": 1.0,
"use_split_strip": false
},
"match_tier": "value_game",
"no_clear_primary": false,
"probabilities": {
"away": 0.3559,
"draw": 0.2968,
"home": 0.3473
},
"reason_codes": [
"no_ev_1x2"
],
"secondary_pick": {
"decision": "value_bet",
"ev": 0.1375,
"implied_prob": 0.3699,
"market": "btts",
"model_prob": 0.455,
"not_dominant": true,
"risk_band": "medium",
"risk_tier": "secondary",
"side": "no",
"slot": "secondary"
},
"secondary_picks": [
{
"decision": "value_bet",
"ev": 0.1375,
"implied_prob": 0.3699,
"market": "btts",
"model_prob": 0.455,
"not_dominant": true,
"risk_band": "medium",
"risk_tier": "secondary",
"side": "no",
"slot": "secondary"
}
],
"show_betting_primary_label": false,
"suppressed_primary": null,
"teams": {
"away": "Wiener Viktoria",
"home": "Fach-Donaufeld"
},
"top_pick": {
"composite_score": 0.091955,
"decision": "value_bet",
"ev": 0.2536,
"implied_prob": 0.3792,
"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": -0.0359,
"consensus_ev_display": "-3.6%",
"consensus_odds": 3.25,
"disagreement_label": "Moderate",
"disagreement_level": "moderate",
"implied_prob": 0.2754,
"is_extreme_disagreement": false,
"model_prob": 0.3559,
"raw_edge_display": "+8.1 percentage points",
"raw_edge_pp": 8.1,
"raw_implied_prob": 0.3076923076923077,
"raw_signal_ev": 0.1567,
"raw_signal_ev_display": "+15.7%"
}
}
},
"fixture_id": 1574094,
"generated_at_utc": "2026-09-12T14:05:49.911738+00:00",
"lang_id": "en"
}
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Regionalliga Este — Clasificación
| # | EQUIPO | PJ | G | E | P | Pts |
|---|---|---|---|---|---|---|
| 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 |
| # | EQUIPO | PJ | GF | GC | +/- | Pts |
|---|---|---|---|---|---|---|
| 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 |
