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 model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Rennes Rennes ✔ Correct
  • Correct Score Insights 2-1 2-1 ✔ Correct

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)
  • Value headline: None (actionable) — best tracked EV is about +1.9%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 33.4% · Over 2.5 66.6%); BTTS Yes (Yes 62.0% · No 38.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 62.0% · No 38.0%
  • Correct score (top bin): 2-1 (9.7%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 Paris Saint Germain 33 24 4 5 76
2 Lens 33 21 4 8 67
3 Lille 33 18 7 8 61
4 Lyon 33 18 6 9 60
5 Rennes 33 17 8 8 59
6 Marseille 33 17 5 11 56
7 Monaco 33 16 6 11 54
8 Strasbourg 33 14 8 11 50
9 Lorient 33 11 12 10 45
10 Toulouse 33 12 8 13 44
11 Paris FC 33 10 11 12 41
12 Stade Brestois 29 33 10 8 15 38
13 Angers 33 9 8 16 35
14 Le Havre 33 6 14 13 32
15 Auxerre 33 7 10 16 31
16 Nice 33 7 10 16 31
17 Nantes 33 5 8 20 23
18 Metz 33 3 7 23 16
# TEAM MP GS GC +/- PTS
1 Paris Saint Germain 33 73 27 +46 76
2 Lens 33 62 35 +27 67
3 Marseille 33 60 44 +16 56
4 Rennes 33 58 47 +11 59
5 Monaco 33 56 49 +7 54
6 Lyon 33 53 36 +17 60
7 Strasbourg 33 53 43 +10 50
8 Lille 33 52 35 +17 61
9 Lorient 33 48 49 -1 45
10 Toulouse 33 47 46 +1 44
11 Paris FC 33 45 49 -4 41
12 Stade Brestois 29 33 42 54 -12 38
13 Nice 33 37 60 -23 31
14 Auxerre 33 32 44 -12 31
15 Metz 33 32 76 -44 16
16 Le Havre 33 30 44 -14 32
17 Nantes 33 29 52 -23 23
18 Angers 33 28 47 -19 35
# TEAM MP xG xGC +/- PTS
1 Paris Saint Germain 33 63.1 25.3 +37.8 76
2 Lens 33 65.3 40.7 +24.6 67
3 Marseille 33 57.2 39.5 +17.7 56
4 Lille 33 52.8 36.3 +16.5 61
5 Strasbourg 33 49.8 42.6 +7.2 50
6 Monaco 33 55.6 48.5 +7.1 54
7 Lyon 33 49.1 42.3 +6.8 60
8 Rennes 33 51.5 49.8 +1.7 59
9 Lorient 33 44.0 43.6 +0.4 45
10 Toulouse 33 42.9 42.6 +0.3 44
11 Stade Brestois 29 33 43.1 49.2 -6.1 38
12 Nantes 33 33.4 43.5 -10.1 23
13 Auxerre 33 35.1 46.2 -11.1 31
14 Le Havre 33 36.9 49.5 -12.6 32
15 Paris FC 33 42.3 55.4 -13.1 41
16 Nice 33 41.6 58.5 -16.9 31
17 Angers 33 31.6 54.3 -22.7 35
18 Metz 33 33.7 61.2 -27.5 16
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