
Stade Rennais

Strasbourg
Stade Rennais – Strasbourg
What the model says
Probabilities computed by model v3-20261018-0954, Oct 24, 03:04 AM.
- Predicted result
- 1Home win
- Confidence
- 58 %
- Most likely score
- 2-110 % chance
- Expected goals (xG)
- 2.02 – 1.17
- Over 2.5 goals
- 62 %
- Both teams to score
- 60 %
The score shown is the most likely one among those matching the predicted result, not the rounded xG: with 1.83 – 1.24 expected goals and a home win predicted, that is 1-0. 1-1, the single most frequent score overall, only appears when a draw is predicted.
The short version
The model leans towards Stade Rennais at home (58 %). The most likely score among those producing that result is 2-1. It expects 2.02 goals for Stade Rennais and 1.17 for Strasbourg. Bookmakers say the same thing: 54 % on the same outcome. Over their last five matches, Stade Rennais took 7 points and Strasbourg 4 points. In recent meetings: 3 wins for Stade Rennais, 0 draws, 2 wins for Strasbourg. Over 2.5 goals: 62 %. Both teams to score: 60 %.
What the market says
Average of 2 bookmakers, margin removed.
| Predicted result | Odds | Implied probability | Gap |
|---|---|---|---|
| 1Stade Rennais | 1.77 | 54 % | +2.1 % |
| XDraw | 4.40 | 22 % | +0.5 % |
| 2Strasbourg | 3.90 | 24 % | -23.5 % |
Model probability × odds − 1. Positive: the model gives this outcome a better chance than the odds do. A gap is not betting advice.
Form and statistics
Stade Rennais
- Last 5 matches
- At home
Strasbourg
- Last 5 matches
Head-to-head
- 3 wins
- Stade Rennais
- 0 draws
- 2 wins
- Strasbourg
- Strasbourg0-3Stade Rennais
- Stade Rennais4-1Strasbourg
- Stade Rennais1-0Strasbourg
- Strasbourg3-1Stade Rennais
- Strasbourg2-0Stade Rennais
Frequently asked questions
Who will win Stade Rennais – Strasbourg?
Our model gives 1 · Stade Rennais a 58 % probability. The three outcomes split as follows: Stade Rennais win 58 %, draw 23 %, Strasbourg win 20 %.
What is the most likely score for Stade Rennais – Strasbourg?
The most likely score is 2-1, at 10 %. It is the most frequent score among those that produce the result the model predicts.