Sunday, 18/10/2026 at 17:15
14d 14h to kick-offParis FC – Stade Rennais
Model updated 4 October, 00:30 Odds not yet available
What the model expects
- Paris FC
- 44%
- Draw
- 29%
- Stade Rennais
- 27%
| Paris FC | Draw | Stade Rennais | |
|---|---|---|---|
| Fair odds | 2.27 | 3.40 | 3.77 |
- Total goals
- 2.75
- Over 2.5 goals
- 53%
- Both teams to score
- 61%
Both teams have the full 20-match model window available.
Model vs market
Market odds are not available for this match yet.
Why the model leans Paris FC
44% Paris FC to win
- Attack
- 11th vs 16th
- Paris FC attack v Stade Rennais defence
- Defence
- 3rd vs 5th
- Paris FC defence v Stade Rennais attack
- Recent xG form
- +1.28 vs -0.50
- xGD per match, last 6
- Projected goals
- 1.56 – 1.20
- Paris FC v Stade Rennais
Team comparison
Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.
| Reading | Paris FC | Stade Rennais |
|---|---|---|
| xG / match | (better) 1.87 · 5th | 1.76 · 7th |
| xGA / match | (better) 0.65 · 1st | 2.27 · 17th |
| xGD / match | (better) +1.22 · 1st | -0.51 · 13th |
| xPts / match | (better) 2.17 · 1st | 1.08 · 15th |
| Last 6 xGD / match | (better) +1.28 | -0.50 |
The scorelines behind the model's numbers
No exact score is especially likely. The 3 most probable scorelines account for 34% of the model's distribution.
- Paris FC clean sheet
- 27%
- Paris FC 2+ goals
- 48%
- Under 2.5 goals
- 47%
- Both teams to score: no
- 39%
Most likely scorelines
- 1:1
- 14.8%
- 2:1
- 10.8%
- 1:2
- 8.0%
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How value is calculated
Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.
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Model details
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- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Paris FC sample
- 20 matches
- Stade Rennais sample
- 20 matches
- Home xG sample · Paris FC
- 3 matches
- Away xG sample · Stade Rennais
- 2 matches
- Computed
- Sunday, 04/10/2026 at 00:30
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.