Predictions / Football / France. Ligue 1 / Stade Brestois 29 vs Paris Saint Germain

Prediction Audit: Stade Brestois 29 vs Paris Saint Germain Prediction, Odds & AI Betting Tips

Stade Brestois 29 Stade Brestois 29
Sep 13, 2026 - 18:45
0 1.24
1 1.40
xG Accuracy: 64%
Paris Saint Germain Paris Saint Germain

AI correctly predicted the Paris Saint Germain win.

The match finished 0–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Paris Saint Germain Paris Saint Germain ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Paris Saint Germain higher than the statistical model.

Largest probability gap: Paris Saint Germain -19.4 pp

Outcome Model Closing Market Difference Signal
Stade Brestois 29 19.4% 8.9% +10.5 pp Model Edge
Draw 23.1% 14.2% +8.9 pp Model Higher
Paris Saint Germain 57.6% 77.0% -19.4 pp Market Higher

The closing market estimates Paris Saint Germain's win probability at 77.0%, compared with the model's estimate of 57.6%, a difference of 19.4 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 model's directional lean matched the result (Paris Saint Germain win 0–1).

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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Paris Saint Germain higher (77.0% vs model 57.6%, 19.4 pp), but the model's lean was validated (Paris Saint Germain win 0–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 13, 2026 · 19:39 UTC Forecast generated
    • Model 1X2 · Stade Brestois 29 19.4% · Draw 23.1% · Paris Saint Germain 57.5%
    • xG · Stade Brestois 29 1.24 — Paris Saint Germain 1.40
  2. Sep 13, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Stade Brestois 29 10.82 · Draw 6.79 · Paris Saint Germain 1.25
    • Implied 1X2 · Stade Brestois 29 8.9% · Draw 14.2% · Paris Saint Germain 77.0%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Stade Brestois 29 10.82 · Draw 6.79 · Paris Saint Germain 1.25
    • Implied 1X2 · Stade Brestois 29 8.9% · Draw 14.2% · Paris Saint Germain 77.0%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Paris Saint Germain win · 0–1
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • Moderate model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 3/100
Betting Confidence 42/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:17 UTC Snapshot ID: dp-7458133

Closing Odds 1.25
AI Fair Odds —
CLV Pending
Final Result Paris Saint Germain win · Stade Brestois 29 0–1 Paris Saint Germain
Prediction ✔ Correct
Decision Grade B-

Model 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.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Ligue 1
  • Fixture: Stade Brestois 29 vs Paris Saint Germain
  • Kickoff: 2026-09-13 18:45:00
  • 1X2 (model): Home 19.4% · Draw 23.1% · Away 57.5%
  • xG (showing): Stade Brestois 29 1.24 — Paris Saint Germain 1.4 (total xG ≈ 2.64)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 50.8% · Over 2.5 49.2%); BTTS Yes (Yes 55.1% · No 44.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 55.1% · No 44.9%
  • Correct score (top bin): 1-1 (12.4%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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Ligue 1 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