1X2 Model EV
- Lean
- Geestemünde
- Model probability
- 43.2%
- Market probability
- 18.4%
- Difference
- +24.8 pp
- Risk-adjusted EV (P1.5)
- +5.6%
Positive Edge
Geestemünde vs Eiche Horn Prediction
Model and market gates cleared for a Primary position.
Primary Bet
6.2/10
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.
Consensus EV
+5.6%
Calculated using a market-adjusted probability. The model probability is partially adjusted toward market expectation to reduce false positives.
Decision Model vs Market Gap
24.8 pp
Difference between the Decision Model probability and the no-vig market probability for the selected outcome.
Reliability
70/100 · High
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 | 43.2% |
| Market (no-vig) | 18.4% |
| Difference | +24.8 pp |
Direction aligns with model lean; pricing still diverges
Why This Clears Primary Decision Gate
Positive factors
- ✓Decision Model probability exceeds market expectationDecision Model 43.2% vs Market 18.4%
- ✓Risk-adjusted EV passes Primary threshold (≥ +5.0%)+5.6%
- ✓Clear directional model signal: Geestemünde
Risk factors
- ✓No blocking risk gates for Primary
Market Intelligence
Market move · Geestemünde · ↓ -44.1%
Breadth
3/3
Books moving same direction
1xBet
↓ -44.1%
Marathonbet
↓ -43.7%
Betano
↓ -33.8%
Move Score
89 (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
PhaseSharp repricing
StatusStrong steam
CLVWaiting for Close
Ref book1xBet
Sharp money supports the same direction as the model lean.
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 5.06
-
Validation Passed
-
Closing RecordedClosing Waiting Expected before kickoff
-
CLV EvaluatedCLV Pending
Final Verdict
Primary Bet
The Decision Model estimates Geestemünde at 43.2%, compared with a no-vig market probability of 18.4%.
Decision Summary
- Decision Model identifies Geestemünde as the value side (43.2%)
- Market broadly agrees with the direction
- Consensus EV, reliability/execution, and calibration cleared Primary gates
Action
Compare best available odds before sizing.
OddsGPT Decision Engine 2.5.0 · Educational framing only · Not personalised advice
Explore More Predictions Content
Get Premium Predictions for Geestemünde & Eiche Horn!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
