The model missed the final outcome (Sunderland W win 1–2).
The model had projected Burnley W at 38.5%, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Burnley W Sunderland W ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Burnley W | 38.5% | 25.1% | +13.4 pp | Model Edge |
| Draw | 29.6% | 26.6% | +3.0 pp | Aligned |
| Sunderland W | 31.9% | 48.4% | -16.4 pp | Market Higher |
The closing market estimates Sunderland W's win probability at 48.4%, compared with the model's estimate of 31.9%, a difference of 16.4 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 Sunderland W win 1–2.
Market Assessment
The market is materially more optimistic about Sunderland W than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Exact score 1–2 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned Burnley W; match finished Sunderland W
Market lesson
The closing market differed from the model on Burnley W by 16.4 percentage points (54.9% vs model 38.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 13, 2026 · 13:02 UTC Forecast generated
- Model 1X2 · Burnley W 38.5% · Draw 29.6% · Sunderland W 31.9%
- xG · Burnley W 1.37 — Sunderland W 1.23
-
Sep 13, 2026 · 12:33 UTC Opening odds snapshot PRE30
- 1X2 odds · Burnley W 3.65 · Draw 3.44 · Sunderland W 1.89
- Implied 1X2 · Burnley W 25.1% · Draw 26.6% · Sunderland W 48.4%
- Bookmaker · Pinnacle
-
Sep 13, 2026 · 13:02 UTC Closing snapshot recorded PRE1
- 1X2 odds · Burnley W 3.65 · Draw 3.44 · Sunderland W 1.89
- Implied 1X2 · Burnley W 25.1% · Draw 26.6% · Sunderland W 48.4%
- Bookmaker · Pinnacle
-
Sep 13, 2026 · 13:00 UTC Kickoff
-
FT Full-time result Sunderland W win · 1–2
-
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: Warning
- Large market gap (16 pp)
- No strong statistical edge
- Pricing remains divergent
- Validation warning
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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Women's Championship — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Newcastle United W | 3 | 3 | 0 | 0 | 9 |
| 2 | Sunderland W | 3 | 2 | 1 | 0 | 7 |
| 3 | Wolverhampton W | 3 | 2 | 0 | 1 | 6 |
| 4 | Leicester City WFC | 3 | 2 | 0 | 1 | 6 |
| 5 | Southampton W | 3 | 1 | 2 | 0 | 5 |
| 6 | Nottingham Forest W | 3 | 1 | 2 | 0 | 5 |
| 7 | Ipswich Town W | 3 | 1 | 2 | 0 | 5 |
| 8 | Bristol City W | 4 | 1 | 1 | 2 | 4 |
| 9 | Watford W | 3 | 0 | 2 | 1 | 2 |
| 10 | Burnley W | 4 | 0 | 2 | 2 | 2 |
| 11 | Durham W | 3 | 0 | 0 | 3 | 0 |
| 12 | Sheffield United W | 3 | 0 | 0 | 3 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Newcastle United W | 3 | 7 | 1 | +6 | 9 |
| 2 | Sunderland W | 3 | 6 | 2 | +4 | 7 |
| 3 | Wolverhampton W | 3 | 6 | 3 | +3 | 6 |
| 4 | Bristol City W | 4 | 6 | 6 | 0 | 4 |
| 5 | Leicester City WFC | 3 | 5 | 3 | +2 | 6 |
| 6 | Nottingham Forest W | 3 | 5 | 4 | +1 | 5 |
| 7 | Durham W | 3 | 4 | 9 | -5 | 0 |
| 8 | Southampton W | 3 | 3 | 1 | +2 | 5 |
| 9 | Watford W | 3 | 3 | 7 | -4 | 2 |
| 10 | Ipswich Town W | 3 | 2 | 1 | +1 | 5 |
| 11 | Sheffield United W | 3 | 2 | 8 | -6 | 0 |
| 12 | Burnley W | 4 | 1 | 5 | -4 | 2 |
