Statistics / Football / France. Ligue 1 / Rennes vs Paris FC

Rennes vs Paris FC Statistics & Analysis

Rennes Rennes
May 10, 2026 - 19:00
2 2.30
1 1.13
xG Accuracy: 89%
Paris FC Paris FC
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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 Rennes Rennes ✔ Correct
  • Correct Score Insights 2-1, 2-0, 1-1, 1-0, 3-1 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 14:20 UTC Snapshot ID: dp-2032167

Closing Odds 4.81
AI Fair Odds —
CLV +0.0%
Final Result Rennes win · Rennes 2–1 Paris FC
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Over 2.5 goals by about 3.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Rennes (1X2) 62.5 63.5 -1.0
Draw (1X2) 21.2 19.7 +1.5
Paris FC (1X2) 16.3 16.8 -0.5
Over 2.5 goals 66.6 63.6 +3.0
Under 2.5 goals 33.4 36.4 -3.0
What this means

In plain terms: the model lands near 66.6% on Over 2.5 goals, while the closing snapshot implied about 63.6%. The difference — about 3.0 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Rennes (1X2) 1.5 1.49 +0.4
Draw (1X2) 4.76 4.81 -0.2
Paris FC (1X2) 5.56 5.62 -0.2
Over 2.5 goals 1.49 1.49 +0.3
Under 2.5 goals 2.57 2.6 -0.3

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Ligue 1
  • Fixture: Rennes vs Paris FC
  • Kickoff: 2026-05-09 19:00:00
  • 1X2 (model): Home 62.5% · Draw 21.2% · Away 16.3%
  • xG (showing): Rennes 2.3 — Paris FC 1.13 (total xG ≈ 3.43)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 33.4% · Implied: 32.3% · Probability edge: +1.1 pts · Est. EV: +2.5%
  • BTTS (model): Yes 62.0% · No 38.0%
  • Correct score (top bin): 2-1 (9.7%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Historical Recommendation

Historical Decision: Selective Lean - No Primary Bet

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

September 30, 2026 (UTC)

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Back to Statistics
Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 Paris Saint Germain 34 24 4 6 76
2 Lens 34 22 4 8 70
3 Lille 34 18 7 9 61
4 Lyon 34 18 6 10 60
5 Marseille 34 18 5 11 59
6 Rennes 34 17 8 9 59
7 Monaco 34 16 6 12 54
8 Strasbourg 34 15 8 11 53
9 Lorient 34 11 12 11 45
10 Toulouse 33 12 8 13 44
11 Paris FC 34 11 11 12 44
12 Stade Brestois 29 34 10 9 15 39
13 Angers 34 9 9 16 36
14 Le Havre 34 7 14 13 35
15 Auxerre 34 8 10 16 34
16 Nice 34 7 11 16 32
17 Nantes 33 5 8 20 23
18 Metz 34 3 8 23 17
# TEAM MP GS GC +/- PTS
1 Paris Saint Germain 34 74 29 +45 76
2 Lens 34 66 35 +31 70
3 Marseille 34 63 45 +18 59
4 Monaco 34 60 54 +6 54
5 Rennes 34 59 50 +9 59
6 Strasbourg 34 58 47 +11 53
7 Lyon 34 53 40 +13 60
8 Lille 34 52 37 +15 61
9 Lorient 34 48 51 -3 45
10 Toulouse 33 47 46 +1 44
11 Paris FC 34 47 50 -3 44
12 Stade Brestois 29 34 43 55 -12 39
13 Nice 34 37 60 -23 32
14 Auxerre 34 34 44 -10 34
15 Le Havre 34 32 44 -12 35
16 Metz 34 32 76 -44 17
17 Angers 34 29 48 -19 36
18 Nantes 33 29 52 -23 23
# TEAM MP xG xGC +/- PTS
1 Paris Saint Germain 34 65.0 29.8 +35.2 76
2 Lens 34 66.7 42.7 +24.0 70
3 Marseille 34 60.2 42.1 +18.1 59
4 Lille 34 54.6 36.8 +17.8 61
5 Strasbourg 34 53.7 45.3 +8.4 53
6 Lyon 34 51.1 43.7 +7.4 60
7 Monaco 34 56.9 50.0 +6.9 54
8 Rennes 34 54.0 52.8 +1.2 59
9 Lorient 34 45.4 45.0 +0.4 45
10 Toulouse 33 42.9 42.6 +0.3 44
11 Stade Brestois 29 34 44.3 50.0 -5.7 39
12 Nantes 33 33.4 43.5 -10.1 23
13 Paris FC 34 44.4 56.1 -11.7 44
14 Le Havre 34 38.3 50.9 -12.6 35
15 Auxerre 34 35.5 48.1 -12.6 34
16 Nice 34 43.1 59.2 -16.1 32
17 Angers 34 32.4 55.4 -23.0 36
18 Metz 34 34.4 62.7 -28.3 17