The model missed the final outcome (Aston Villa win 1–2).
The model had projected Manchester City at 61.4%, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Manchester City Aston Villa ✖ Incorrect
- Correct Score Insights 2-1, 2-0, 1-1, 1-0, 3-1 1-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Manchester City | 61.4% | 72.6% | -11.2 pp | Market Higher |
| Draw | 21.9% | 16.8% | +5.2 pp | Model Higher |
| Aston Villa | 16.7% | 10.7% | +6.0 pp | Model Higher |
The closing market estimates Manchester City's win probability at 72.6%, compared with the model's estimate of 61.4%, a difference of 11.2 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 Aston Villa win 1–2.
Market Assessment
The market is materially more optimistic about Manchester City 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 3.31) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 1X2: model leaned Manchester City; match finished Aston Villa
- Exact score: outside the model's top score bins
Market lesson
The closing market differed from the model on Manchester City by 11.2 percentage points (72.6% vs model 61.4%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 24, 2026 · 18:27 UTC Forecast generated
- Model 1X2 · Manchester City 61.4% · Draw 21.9% · Aston Villa 16.7%
- xG · Manchester City 2.21 — Aston Villa 1.10
-
May 24, 2026 · 14:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Manchester City 1.33 · Draw 5.76 · Aston Villa 9.04
- Implied 1X2 · Manchester City 72.6% · Draw 16.8% · Aston Villa 10.7%
- Bookmaker · Pinnacle
-
May 24, 2026 · 14:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Manchester City 1.33 · Draw 5.76 · Aston Villa 9.04
- Implied 1X2 · Manchester City 72.6% · Draw 16.8% · Aston Villa 10.7%
- Bookmaker · Pinnacle
-
May 24, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Aston Villa 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 (11 pp)
- High xG deviation from league baseline (64%+)
- Strong model lean
- Market has already priced much of the edge
- 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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Premier League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Arsenal | 38 | 26 | 7 | 5 | 85 |
| 2 | Manchester City | 38 | 23 | 9 | 6 | 78 |
| 3 | Manchester United | 38 | 20 | 11 | 7 | 71 |
| 4 | Aston Villa | 38 | 19 | 8 | 11 | 65 |
| 5 | Liverpool | 38 | 17 | 9 | 12 | 60 |
| 6 | Bournemouth | 38 | 13 | 18 | 7 | 57 |
| 7 | Sunderland | 38 | 14 | 12 | 12 | 54 |
| 8 | Brighton | 38 | 14 | 11 | 13 | 53 |
| 9 | Brentford | 38 | 14 | 11 | 13 | 53 |
| 10 | Chelsea | 38 | 14 | 10 | 14 | 52 |
| 11 | Fulham | 38 | 15 | 7 | 16 | 52 |
| 12 | Newcastle | 38 | 14 | 7 | 17 | 49 |
| 13 | Everton | 38 | 13 | 10 | 15 | 49 |
| 14 | Leeds | 38 | 11 | 14 | 13 | 47 |
| 15 | Crystal Palace | 38 | 11 | 12 | 15 | 45 |
| 16 | Nottingham Forest | 38 | 11 | 11 | 16 | 44 |
| 17 | Tottenham | 38 | 10 | 11 | 17 | 41 |
| 18 | West Ham | 38 | 10 | 9 | 19 | 39 |
| 19 | Burnley | 38 | 4 | 10 | 24 | 22 |
| 20 | Wolves | 38 | 3 | 11 | 24 | 20 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Manchester City | 38 | 77 | 35 | +42 | 78 |
| 2 | Arsenal | 38 | 71 | 27 | +44 | 85 |
| 3 | Manchester United | 38 | 69 | 50 | +19 | 71 |
| 4 | Liverpool | 38 | 63 | 53 | +10 | 60 |
| 5 | Chelsea | 38 | 58 | 52 | +6 | 52 |
| 6 | Bournemouth | 38 | 58 | 54 | +4 | 57 |
| 7 | Aston Villa | 38 | 56 | 49 | +7 | 65 |
| 8 | Brentford | 38 | 55 | 52 | +3 | 53 |
| 9 | Newcastle | 38 | 53 | 55 | -2 | 49 |
| 10 | Brighton | 38 | 52 | 46 | +6 | 53 |
| 11 | Leeds | 38 | 49 | 56 | -7 | 47 |
| 12 | Nottingham Forest | 38 | 48 | 51 | -3 | 44 |
| 13 | Tottenham | 38 | 48 | 57 | -9 | 41 |
| 14 | Everton | 38 | 47 | 50 | -3 | 49 |
| 15 | Fulham | 38 | 47 | 51 | -4 | 52 |
| 16 | West Ham | 38 | 46 | 65 | -19 | 39 |
| 17 | Sunderland | 38 | 42 | 48 | -6 | 54 |
| 18 | Crystal Palace | 38 | 41 | 51 | -10 | 45 |
| 19 | Burnley | 38 | 38 | 75 | -37 | 22 |
| 20 | Wolves | 38 | 27 | 68 | -41 | 20 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Arsenal | 38 | 64.5 | 28.8 | +35.7 | 85 |
| 2 | Manchester City | 38 | 68.8 | 42.6 | +26.2 | 78 |
| 3 | Manchester United | 38 | 64.7 | 48.5 | +16.2 | 71 |
| 4 | Liverpool | 38 | 60.1 | 46.9 | +13.2 | 60 |
| 5 | Chelsea | 38 | 63.5 | 51.9 | +11.6 | 52 |
| 6 | Brighton | 38 | 57.4 | 49.9 | +7.5 | 53 |
| 7 | Crystal Palace | 38 | 57.6 | 50.2 | +7.4 | 45 |
| 8 | Bournemouth | 38 | 62.5 | 56.8 | +5.7 | 57 |
| 9 | Newcastle | 38 | 57.2 | 51.5 | +5.7 | 49 |
| 10 | Brentford | 38 | 59.3 | 54.3 | +5.0 | 53 |
| 11 | Leeds | 38 | 54.4 | 55.1 | -0.7 | 47 |
| 12 | Fulham | 38 | 47.9 | 52.2 | -4.3 | 52 |
| 13 | Aston Villa | 38 | 47.6 | 54.3 | -6.7 | 65 |
| 14 | Nottingham Forest | 38 | 46.3 | 56.3 | -10.0 | 44 |
| 15 | Everton | 38 | 45.9 | 55.9 | -10.0 | 49 |
| 16 | Tottenham | 38 | 40.8 | 52.2 | -11.4 | 41 |
| 17 | West Ham | 38 | 45.1 | 56.8 | -11.7 | 39 |
| 18 | Sunderland | 38 | 39.1 | 53.4 | -14.3 | 54 |
| 19 | Wolves | 38 | 35.5 | 58.1 | -22.6 | 20 |
| 20 | Burnley | 38 | 32.3 | 74.9 | -42.6 | 22 |