The model missed the final outcome (Hapoel Haifa win 4–0).
The model had projected Hapoel Beer Sheva at 36.6%, but the full-time result went the other way.
Tracked markets vs full-time result
Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Hapoel Beer Sheva Hapoel Haifa ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Hapoel Haifa | 33.8% | 42.2% | -8.4 pp | Market Higher |
| Draw | 29.6% | 26.4% | +3.3 pp | Aligned |
| Hapoel Beer Sheva | 36.6% | 31.4% | +5.1 pp | Model Higher |
The closing market estimates Hapoel Haifa's win probability at 42.2%, compared with the model's estimate of 33.8%, a difference of 8.4 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.
After full time, the result was Hapoel Haifa win 4–0.
Market Assessment
The market and model broadly agree on Hapoel Haifa. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
Market lesson
The closing market differed from the model on Hapoel Beer Sheva by 8.4 percentage points (45.0% vs model 36.6%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 15, 2026 · 17:29 UTC Forecast generated
- Model 1X2 · Hapoel Haifa 33.8% · Draw 29.6% · Hapoel Beer Sheva 36.6%
- xG · Hapoel Haifa 1.27 — Hapoel Beer Sheva 1.33
-
Aug 15, 2026 · 17:02 UTC Opening odds snapshot PRE30
- 1X2 odds · Hapoel Haifa 2.17 · Draw 3.47 · Hapoel Beer Sheva 2.91
- Implied 1X2 · Hapoel Haifa 42.2% · Draw 26.4% · Hapoel Beer Sheva 31.4%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 17:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Hapoel Haifa 2.17 · Draw 3.47 · Hapoel Beer Sheva 2.91
- Implied 1X2 · Hapoel Haifa 42.2% · Draw 26.4% · Hapoel Beer Sheva 31.4%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 17:30 UTC Kickoff
-
FT Full-time result Hapoel Haifa win · 4–0
-
FT Prediction missed 1X2 lean did not match full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
Validation Report
Immutable SnapshotModel Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Review FAQ
- How accurate was the prediction?
- This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
- What does xG Accuracy measure?
- xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
- Why wasn't the exact score predicted?
- Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
- Does this improve the AI record?
- Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.
Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.
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