01 · 2 legs
Safe
- Double chance Marseille or draw (X2)65%
- Over 1.5 goals81%
Ligue 1Roazhon Park, Rennes18°0,5 mm15 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
Marseille's high pressing style will be key as they clash with Rennes, who boast a robust record at home with a 57% win rate in 35 games. Despite this, the visitors come in with a slight edge from the model's predictions, sitting at a 40% chance to claim victory. A major storyline here is Rennes' ability to find the back of the net consistently, having scored in 10 straight league matches. Yet, their offensive prowess meets a formidable Marseille defense that allows just 0.81 expected goals against per match, signaling a possible bottleneck in Rennes’ scoring momentum.
The head-to-head data, though a small sample size with only four matches since 2022, favors Marseille with three wins to Rennes’ one. While this could suggest a psychological edge, it's vital to weigh it less heavily compared to current form and expected goals. Here, Rennes have a marginal xPoints lead (4.1 vs 3.4), but both teams tally identical xG per match at 1.8. This statistical parity indicates that the match may hinge on execution rather than sheer firepower.
Given the model’s lean toward Marseille and the generous odds available, there’s notable value in backing an away win at 3.45 with Betsafe, Betsson, and Nordicbet — a 37% edge according to the model. Marseille’s ability to dictate play through possession could exploit Rennes' low defensive stance, potentially neutralizing the home advantage.
While the most probable scoreline is a 1-1 draw, the numbers lean slightly towards a 1-2 result in favor of the visitors. With a 59% chance for over 2.5 goals and a strong 62% likelihood for both teams to score, bettors might consider the over, despite the natural restraint of Rennes at home. However, the sharper play appears to be the value on Marseille. Their tactical approach and form suggest they are well-positioned to capitalize on any lapses from Rennes, making their odds particularly alluring.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Rennes | X | 2 · Marseille |
|---|---|---|---|
| Betsafe | 2.05 | 3.60 | EV+ 33% 3.35 |
| Betsson | 2.00 | 3.80 | EV+ 31% 3.30 |
| Nordicbet | 2.00 | 3.80 | EV+ 31% 3.30 |
| Pinnacle | 2.07 | 3.86 | EV+ 36% 3.44 |
Odds updated 11 Sept, 16:38
Market signal
The market has moved clearly towards a Rennes win since 4 September — the odds have shortened from 2.28 to 2.07 (−9%).
2.28 → 2.07
3.99 → 3.86
2.73 → 3.44
Pinnacle · 20 recorded price levels · 04/09/2026 → 11/09/2026 · fixed scale 10 percentage points
Head-to-head based on Ligue 1 data since 2022.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Rennes | Marseille |
|---|---|---|
| Points | 7 | 3 |
| xPoints | 4.1 | 3.4 |
| xG per match | 1.8 | 1.8 |
| xGA per match | 1.8 | 0.81 |
| xG within 8s of winning the ball | 0.51 | 0.29 |
| xGA within 8s of losing the ball | 0.16 | 0.08 |
| Playing style | Rennes | Marseille |
|---|---|---|
| Build-up efficiency | 0.3 | 0.3 |
| Field tilt | 0.43 | 0.74 |
| xT per match | 1.2 | 1.3 |
| xTA per match | 1.1 | 0.61 |
| Won balls, offensive half | 23 | 26 |
| Pressing intensity | 0.23 | 0.22 |
| Pressing efficiency | 0.3 | 0.26 |
| Pressing efficiency, offensive half | 0.24 | 0.25 |
| Entries into the box per match | 15 | 13 |
| Entries into the box against | 12 | 10 |
| Pass completion % | 0.8 | 0.86 |
| Pass completion % under pressure | 0.76 | 0.79 |
| Passes per match | 386 | 621 |
| Passes against per match | 401 | 295 |
| Switches of play per match | 28.2 | 32.5 |
| Long balls per match | 34 | 26 |
| Set pieces | Rennes | Marseille |
|---|---|---|
| xG from free kicks | 0.02 | 0.04 |
| Corners per match | 4.6 | 5.1 |
| Corners against per match | 9.2 | 4.6 |
| xG per corner | 0.05 | 0.01 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.43 | 0.1 |
| First touch, defensive corners % | 0.5 | 0.67 |
| Other | Rennes | Marseille |
|---|---|---|
| Throw-in control | 0.67 | 0.76 |
| The goalkeepers | Charlie Cresswell (Rennes) | Jeffrey de Lange (Marseille) |
|---|---|---|
| Saves | 5 | 9 |
| Save % | 100% | 64% |
| xG prevented | 100% | 43% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Marseille a 40% win probability. Full 1X2 picture: Rennes 35%, draw 25%, Marseille 40%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 59% and under at 41%.
The probability of both teams scoring is 62% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.