The model missed the final outcome (Monaco win 1–2).
The model had projected Paris Saint Germain at 57.1%, 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 Paris Saint Germain Monaco ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Paris Saint Germain | 57.1% | 71.9% | -14.8 pp | Market Higher |
| Draw | 23.9% | 16.3% | +7.6 pp | Model Higher |
| Monaco | 19.0% | 11.8% | +7.3 pp | Model Higher |
The closing market estimates Paris Saint Germain's win probability at 71.9%, compared with the model's estimate of 57.1%, a difference of 14.8 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 Monaco win 1–2.
Market Assessment
The market is materially more optimistic about Paris Saint Germain 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
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned Paris Saint Germain; match finished Monaco
Market lesson
The closing market differed from the model on Paris Saint Germain by 14.8 percentage points (71.9% vs model 57.1%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 04, 2026 · 19:32 UTC Forecast generated
- Model 1X2 · Paris Saint Germain 57.1% · Draw 23.9% · Monaco 19.0%
- xG · Paris Saint Germain 1.45 — Monaco 1.04
-
Sep 04, 2026 · 18:34 UTC Opening odds snapshot PRE30
- 1X2 odds · Paris Saint Germain 1.34 · Draw 5.92 · Monaco 8.19
- Implied 1X2 · Paris Saint Germain 71.9% · Draw 16.3% · Monaco 11.8%
- Bookmaker · Pinnacle
-
Sep 04, 2026 · 19:04 UTC Closing snapshot recorded PRE1
- 1X2 odds · Paris Saint Germain 1.34 · Draw 5.92 · Monaco 8.19
- Implied 1X2 · Paris Saint Germain 71.9% · Draw 16.3% · Monaco 11.8%
- Bookmaker · Pinnacle
-
Sep 04, 2026 · 19:05 UTC Kickoff
-
FT Full-time result Monaco 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 (15 pp)
- Moderate 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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Ligue 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Monaco | 5 | 4 | 1 | 0 | 13 |
| 2 | Lyon | 5 | 3 | 2 | 0 | 11 |
| 3 | Paris FC | 5 | 3 | 2 | 0 | 11 |
| 4 | Lille | 5 | 3 | 1 | 1 | 10 |
| 5 | Rennes | 5 | 3 | 1 | 1 | 10 |
| 6 | Paris Saint Germain | 5 | 2 | 2 | 1 | 8 |
| 7 | Angers | 5 | 2 | 1 | 2 | 7 |
| 8 | Strasbourg | 5 | 2 | 1 | 2 | 7 |
| 9 | Le Mans | 5 | 1 | 3 | 1 | 6 |
| 10 | Auxerre | 5 | 2 | 0 | 3 | 6 |
| 11 | Stade Brestois 29 | 5 | 1 | 2 | 2 | 5 |
| 12 | Lorient | 5 | 1 | 2 | 2 | 5 |
| 13 | Toulouse | 5 | 1 | 2 | 2 | 5 |
| 14 | Nice | 5 | 1 | 2 | 2 | 5 |
| 15 | Lens | 5 | 1 | 1 | 3 | 4 |
| 16 | Estac Troyes | 5 | 1 | 1 | 3 | 4 |
| 17 | Marseille | 5 | 1 | 0 | 4 | 3 |
| 18 | Le Havre | 5 | 0 | 2 | 3 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Lyon | 5 | 10 | 2 | +8 | 11 |
| 2 | Strasbourg | 5 | 10 | 10 | 0 | 7 |
| 3 | Le Mans | 5 | 9 | 9 | 0 | 6 |
| 4 | Lens | 5 | 9 | 9 | 0 | 4 |
| 5 | Monaco | 5 | 8 | 3 | +5 | 13 |
| 6 | Paris FC | 5 | 8 | 3 | +5 | 11 |
| 7 | Lille | 5 | 8 | 4 | +4 | 10 |
| 8 | Paris Saint Germain | 5 | 8 | 7 | +1 | 8 |
| 9 | Rennes | 5 | 8 | 9 | -1 | 10 |
| 10 | Stade Brestois 29 | 5 | 7 | 8 | -1 | 5 |
| 11 | Marseille | 5 | 7 | 8 | -1 | 3 |
| 12 | Toulouse | 5 | 7 | 9 | -2 | 5 |
| 13 | Auxerre | 5 | 7 | 12 | -5 | 6 |
| 14 | Angers | 5 | 6 | 5 | +1 | 7 |
| 15 | Lorient | 5 | 5 | 6 | -1 | 5 |
| 16 | Le Havre | 5 | 4 | 7 | -3 | 2 |
| 17 | Estac Troyes | 5 | 4 | 11 | -7 | 4 |
| 18 | Nice | 5 | 3 | 6 | -3 | 5 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Lens | 5 | 7.3 | 3.5 | +3.8 | 4 |
| 2 | Stade Brestois 29 | 5 | 4.4 | 1.8 | +2.6 | 5 |
| 3 | Paris FC | 5 | 3.5 | 0.9 | +2.6 | 11 |
| 4 | Marseille | 5 | 3.1 | 1.7 | +1.4 | 3 |
| 5 | Angers | 5 | 3.6 | 2.5 | +1.1 | 7 |
| 6 | Monaco | 5 | 2.9 | 1.8 | +1.1 | 13 |
| 7 | Paris Saint Germain | 5 | 3.2 | 2.2 | +1.0 | 8 |
| 8 | Toulouse | 5 | 3.8 | 2.9 | +0.9 | 5 |
| 9 | Estac Troyes | 5 | 4.9 | 4.8 | +0.1 | 4 |
| 10 | Lorient | 5 | 2.0 | 2.5 | -0.5 | 5 |
| 11 | Le Mans | 5 | 3.7 | 4.3 | -0.6 | 6 |
| 12 | Lille | 5 | 2.3 | 3.3 | -1.0 | 10 |
| 13 | Rennes | 5 | 3.7 | 4.9 | -1.2 | 10 |
| 14 | Lyon | 5 | 1.9 | 3.3 | -1.4 | 11 |
| 15 | Le Havre | 5 | 1.3 | 3.1 | -1.8 | 2 |
| 16 | Nice | 5 | 1.5 | 3.6 | -2.1 | 5 |
| 17 | Strasbourg | 5 | 4.8 | 7.7 | -2.9 | 7 |
| 18 | Auxerre | 5 | 3.1 | 6.1 | -3.0 | 6 |
