1X2 Model EV
- Lean
- Bayern München
- Model probability
- 46.1%
- Market probability
- 76.7%
- Difference
- -30.6 pp
- Risk-adjusted EV (P1.5)
- -18.2%
No Value Edge
Bayern München vs RB Leipzig Prediction
Model leans Bayern München, but the market disagrees — monitor only.
AI–Market Conflict - No Primary Bet
5.1/10
OddsGPT AI Confidence Score measures prediction reliability using AI probability, market signals, xG data, and performance indicators. A higher score reflects stronger model confidence and data support, helping users identify higher-quality opportunities.
OddsGPT AI Confidence Score measures prediction reliability using AI probability, market signals, xG data, and performance indicators. A higher score reflects stronger model confidence and data support, helping users identify higher-quality opportunities.
Reason
Calibration Risk
Confidence reduced because model assumptions exceed the normal range.
Other factors
- Market Conflict
Consensus EV
+23.2%
Calculated using a market-adjusted probability. The model probability is partially adjusted toward market expectation to reduce false positives.
Decision Model vs Market Gap
30.6 pp
Difference between the Decision Model probability and the no-vig market probability for the selected outcome.
Reliability
53/100 · Moderate
Reliability measures the quality of the prediction signal. It considers: • model validation • market alignment • data quality • bookmaker coverage • market movement consistency It does not represent the probability of winning.
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Prediction Overview
Base Prediction Model
These probabilities are generated from the base xG scoring simulation (Poisson model). They show the expected match outcome distribution before decision-layer calibration.
These probabilities are generated from the base xG scoring simulation (Poisson model). They show the expected match outcome distribution before decision-layer calibration.
Raw match outcome probabilities from the xG-based scoring model.
Decision Model vs Market
The Decision Model applies additional calibration (including low-score correlation adjustments) to produce the probability used by the Decision Engine for value calculation, EV estimation, and Primary Bet decisions.
The Decision Model applies additional calibration (including low-score correlation adjustments) to produce the probability used by the Decision Engine for value calculation, EV estimation, and Primary Bet decisions.
| Decision Model | 46.1% |
| Market (no-vig) | 76.7% |
| Difference | +30.6 pp |
Neither side shows a decisive model–market alignment yet.
Why Is The Bet Blocked?
Positive factors
- ✓Risk-adjusted EV passes Primary threshold (≥ +5.0%)+23.2%
- ✓Clear directional model signal: Bayern München
Risk factors
- ✗Extreme xG calibration failedHome 2.57 · Away 2.23 · Peak +90%
- ✗Market pricing conflicts with the model favourite
Market Intelligence
No market-move signal tracked for this fixture yet.
Market Decisions (Model vs Market)
Each card compares the model probability with the no-vig (or best available) market price, then shows a risk-adjusted or raw EV.
Positive EV is a pricing signal, not a Primary bet instruction.
Each card compares the model probability with the no-vig (or best available) market price, then shows a risk-adjusted or raw EV. Positive EV is a pricing signal, not a Primary bet instruction.
Over / Under 2.5
- Lean
- Over 2.5
- Model probability (Over)
- 85.8%
- Market probability (Over)
- 82.7%
- Difference
- +3.1 pp
- Risk-adjusted EV
- -6.3%
No Value Edge
Total Goals (Model)
BTTS (Yes)
- Lean
- Yes
- Model probability
- 83.0%
- Market probability
- 68.3%
- Difference
- +14.7 pp
- Risk-adjusted EV
- +1.6%
Positive Edge
BTTS Yes 83.0%
BTTS No 17.0%
Correct Score
- Top Score
- 2-2
- Model probability (2-2)
- 6.8%
- Market probability (2-2)
- 5.3%
- Difference
- +1.5 pp
- EV @ Market Odds
- +29.2%
Positive Edge
Top 5 Model Scores
- 2-2 6.8%
- 2-1 6.1%
- 3-2 5.8%
- 1-2 5.3%
- 3-1 5.2%
Match Phase: Upcoming
Decision Lifecycle
Current stage: Market monitoring
-
Prediction Generated
-
Market ComparedEntry 1.22
-
Validation Passed
-
Closing RecordedClosing Waiting Expected before kickoff
-
CLV EvaluatedCLV Pending
Final Verdict
AI–Market Conflict - No Primary Bet
The Decision Model estimates Bayern München at 46.1%, compared with a no-vig market probability of 76.7%.
Decision Summary
- Decision Model identifies Bayern München as the value side (46.1%)
- Market pricing conflicts with the model lean
- Model confidence reduced due to calibration uncertainty
- Model–market disagreement blocks Primary sizing
Action
Monitor closing market and validate with CLV.
OddsGPT Decision Engine 2.5.0 · Educational framing only · Not personalised advice
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