1X2 Model EV
- Lean
- Havelse
- Model probability
- 38.6%
- Market probability
- 8.1%
- Difference
- +30.5 pp
- Risk-adjusted EV (P1.5)
- +26.7%
Positive Edge
VfL Wolfsburg vs Havelse Prediction
Model leans Havelse, but the market disagrees — monitor only.
AI–Market Conflict - No Primary Bet
5.4/10
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
Market Conflict
Model lean and market pricing / drift are not aligned.
Other factors
- Calibration Risk
Consensus EV
+68.3%
Calculated using a market-adjusted probability. The model probability is partially adjusted toward market expectation to reduce false positives.
Decision Model vs Market Gap
30.5 pp
Difference between the Decision Model probability and the no-vig market probability for the selected outcome.
Reliability
65/100 · 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.
Login to see the full betting verdict
Sign in free to unlock the Final betting verdict — which markets pass, where +EV may exist, and steam warnings.
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.
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 | 38.6% |
| Market (no-vig) | 8.1% |
| Difference | +30.5 pp |
Neither side shows a decisive model–market alignment yet.
Why Is The Bet Blocked?
Positive factors
- ✓Decision Model probability exceeds market expectationDecision Model 38.6% vs Market 8.1%
- ✓Risk-adjusted EV passes Primary threshold (≥ +5.0%)+68.3%
- ✓Clear directional model signal: Havelse
Risk factors
- ✗Elevated xG uncertaintyModel confidence reduced due to calibration uncertainty
- ✗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
- Under 2.5
- Model probability (Under)
- 51.8%
- Market probability (Under)
- 31.0%
- Difference
- +20.8 pp
- Risk-adjusted EV
- -1.4%
No Value Edge
Total Goals (Model)
BTTS (Yes)
- Lean
- Yes
- Model probability
- 53.5%
- Market probability
- 51.2%
- Difference
- +2.3 pp
- Risk-adjusted EV
- -7.4%
No Value Edge
BTTS Yes 53.5%
BTTS No 46.5%
Correct Score
- Top Score
- 1-1
- Model probability (1-1)
- 12.5%
- Market probability (1-1)
- 6.2%
- Difference
- +6.2 pp
- EV @ Market Odds
- +100.0%
Positive Edge
Top 5 Model Scores
- 1-1 12.5%
- 0-1 10.0%
- 1-0 9.3%
- 1-2 8.5%
- 2-1 7.8%
Match Phase: Upcoming
Decision Lifecycle
Current stage: Market monitoring
-
Prediction Generated
-
Market ComparedEntry 1.2
-
Validation Passed
-
Closing RecordedClosing Waiting Expected before kickoff
-
CLV EvaluatedCLV Pending
Final Verdict
AI–Market Conflict - No Primary Bet
The Decision Model estimates Havelse at 38.6%, compared with a no-vig market probability of 8.1%.
Decision Summary
- Decision Model identifies Havelse as the value side (38.6%)
- Market pricing conflicts with the model lean
- Model–market disagreement blocks Primary sizing
- Model confidence reduced due to calibration uncertainty
Action
Monitor closing market and validate with CLV.
OddsGPT Decision Engine 2.5.0 · Educational framing only · Not personalised advice
Explore More Predictions Content
Get Premium Predictions for VfL Wolfsburg & Havelse!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
World. Friendlies Clubs Predictions
