Predictions / Football / France. Ligue 1 / Marseille vs Paris FC

Prediction Audit: Marseille vs Paris FC Prediction, Odds & AI Betting Tips

Marseille Marseille
Sep 06, 2026 - 18:45
2 1.33
3 1.38
xG Accuracy: 53%
Paris FC Paris FC

The model missed the final outcome (Paris FC win 2–3).

The model had projected Marseille at 41.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Marseille Paris FC ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Marseille higher than the statistical model.

Largest probability gap: Marseille -10.2 pp

Outcome Model Closing Market Difference Signal
Marseille 41.5% 51.8% -10.2 pp Market Higher
Draw 27.6% 25.1% +2.5 pp Aligned
Paris FC 30.8% 23.1% +7.7 pp Model Higher

The closing market estimates Marseille's win probability at 51.8%, compared with the model's estimate of 41.5%, a difference of 10.2 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 Paris FC win 2–3.

Market Assessment

The market is materially more optimistic about Marseille 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 2.71) — 5 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)

Market lesson

The closing market differed from the model on Marseille by 10.2 percentage points (51.7% vs model 41.5%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 06, 2026 · 19:41 UTC Forecast generated
    • Model 1X2 · Marseille 41.5% · Draw 27.7% · Paris FC 30.8%
    • xG · Marseille 1.33 — Paris FC 1.38
  2. Sep 06, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Marseille 1.88 · Draw 3.87 · Paris FC 4.21
    • Implied 1X2 · Marseille 51.8% · Draw 25.1% · Paris FC 23.1%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Marseille 1.88 · Draw 3.87 · Paris FC 4.21
    • Implied 1X2 · Marseille 51.8% · Draw 25.1% · Paris FC 23.1%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Paris FC win · 2–3
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (10 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 48/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 08:16 UTC Snapshot ID: dp-6372568

Closing Odds 1.88
AI Fair Odds —
CLV Pending
Final Result Paris FC win · Marseille 2–3 Paris FC
Prediction ✖ Missed
Decision Grade F

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: Marseille vs Paris FC
  • Kickoff: 2026-09-06 18:45:00
  • 1X2 (model): Home 41.5% · Draw 27.7% · Away 30.8%
  • xG (showing): Marseille 1.33 — Paris FC 1.38 (total xG ≈ 2.71)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 49.1% · Implied: 43.6% · Probability edge: +5.5 pts · Est. EV: +14.4%
  • BTTS (model): Yes 56.6% · No 43.4%
  • Correct score (top bin): 1-1 (12.2%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match 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

September 30, 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