1X2 Model EV
- Lean
- Hertha Zehlendorf
- Model probability
- 43.2%
- Market probability
- 33.6%
- Difference
- +9.6 pp
- Risk-adjusted EV (P1.5)
- +0.0%
Positive Edge
Hertha Zehlendorf vs BSG Chemie Leipzig Prediction
Model leans Hertha Zehlendorf, but the market disagrees — monitor only.
No Primary Bet
3.0/10
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
- Market Quality Risk
Consensus EV
+0.0%
Calculated using a market-adjusted probability. The model probability is partially adjusted toward market expectation to reduce false positives.
Decision Model vs Market Gap
9.6 pp
Difference between the Decision Model probability and the no-vig market probability for the selected outcome.
Reliability
60/100 · 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 | 43.2% |
| Market (no-vig) | 33.6% |
| Difference | +9.6 pp |
The market has moved away from Hertha Zehlendorf, but the model still strongly favours Hertha Zehlendorf.
Why Is The Bet Blocked?
Positive factors
- ✓Decision Model probability exceeds market expectationDecision Model 43.2% vs Market 33.6%
- ✓Positive consensus EV (below Primary gate)+0.0% · need ≥ +5.0%
- ✓Clear directional model signal: Hertha Zehlendorf
Risk factors
- ✗Market moved against Hertha Zehlendorf2.3 → 2.75 · ↑ +19.6%
- ✗Outlier price excluded from Primary+19% EV → consensus +0.0%
Market Intelligence
Market drift · Hertha Zehlendorf · ↑ +19.6%
Breadth
6/6
Books moving same direction
Bet365 Sharp
↑ +19.6%
Betano
↑ +14.6%
10Bet
↑ +12.2%
1xBet
↑ +11.7%
Pinnacle Sharp
↑ +9.8%
Marathonbet
↑ +9.6%
Move Score
87 (A+)
Move Score (0–100) grades how strong a market move is — steam (shortening) or drift (lengthening). A+ · ≥75 with 3+ books reacting — strongest multi-book conviction A · ≥60 with 2+ books — strong multi-book signal B · ≥40 — moderate move; confirmation incomplete C · Below 40, dead/illiquid, or volatile — limited conviction
PhaseMarket drift
StatusStrong drift
CLVWaiting for Close
Ref bookBet365
⚠ Market moved away from Hertha Zehlendorf while the model still favours another side.
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)
- 51.1%
- Market probability (Over)
- —
- Difference
- —
- Risk-adjusted EV
- —
No Value Edge
Total Goals (Model)
BTTS (Yes)
- Lean
- Yes
- Model probability
- 56.4%
- Market probability
- —
- Difference
- —
- Risk-adjusted EV
- —
No Value Edge
BTTS Yes 56.4%
BTTS No 43.6%
Correct Score
- Top Score
- 1-1
- Model probability (1-1)
- 12.1%
- Market probability (1-1)
- —
- Difference
- —
- EV @ Market Odds
- —
No Value
Top 5 Model Scores
- 1-1 12.1%
- 1-0 9.8%
- 2-1 9.0%
- 0-1 8.1%
- 1-2 7.4%
Match Phase: Upcoming
Decision Lifecycle
Current stage: Market monitoring
-
Prediction Generated
-
Market ComparedEntry 2.75
-
Validation Passed
-
Closing RecordedClosing Waiting Expected before kickoff
-
CLV EvaluatedCLV Pending
Final Verdict
No Primary Bet
The Decision Model estimates Hertha Zehlendorf at 43.2%, compared with a no-vig market probability of 33.6%.
Decision Summary
- Decision Model identifies Hertha Zehlendorf as the value side (43.2%)
- Market pricing conflicts with the model lean
- Model–market disagreement blocks Primary sizing
- Market quality / price reliability is insufficient for Primary
- Edge does not clear Primary threshold
Action
Monitor closing market and validate with CLV.
OddsGPT Decision Engine 2.5.0 · Educational framing only · Not personalised advice
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