1X2 Model EV
- Lean
- Hertha BSC
- Model probability
- 38.6%
- Market probability
- —
- Difference
- —
- Risk-adjusted EV (P1.5)
- —
No Value Edge
FC Augsburg vs Hertha BSC Prediction
Model lean is not a Primary bet — one answer only below.
No Primary Bet
3.1/10
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
Edge Below Threshold
The estimated edge does not meet the Primary threshold.
Other factors
- Calibration Risk
Consensus EV
—
Calculated using a market-adjusted probability. The model probability is partially adjusted toward market expectation to reduce false positives.
Decision Model vs Market Gap
0.0 pp
Difference between the Decision Model probability and the no-vig market probability for the selected outcome.
Reliability
57/100 · 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 | 38.6% |
| Market (no-vig) | — |
| Difference | +0.0 pp |
No decisive market alignment yet
Why Is The Bet Blocked?
Positive factors
- ✓Clear directional model signal: Hertha BSC
Risk factors
- ✗Elevated xG uncertaintyModel confidence reduced due to calibration uncertainty
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)
- —
- Difference
- —
- Risk-adjusted EV
- —
No Value Edge
Total Goals (Model)
BTTS (Yes)
- Lean
- Yes
- Model probability
- 53.5%
- Market probability
- —
- Difference
- —
- Risk-adjusted EV
- —
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)
- —
- Difference
- —
- EV @ Market Odds
- —
No Value
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: Waiting for closing line
-
Prediction Generated
-
Market ComparedEntry Pending
-
Validation Passed
-
Closing RecordedClosing Waiting Expected before kickoff
-
CLV EvaluatedCLV Pending
Final Verdict
No Primary Bet
The Decision Model estimates Hertha BSC at 38.6%, compared with a no-vig market probability of —%.
Decision Summary
- Decision Model identifies Hertha BSC as the value side (38.6%)
- No decisive market conflict on direction
- Edge does not clear Primary threshold
- 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
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