01 · 2 legs
Safe
- Paris Saint-Germain to win71%
- Over 1.5 goals85%
Ligue 1Parc des Princes, Paris15°7,8 mm18 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
Paris Saint-Germain's relentless goal-scoring form, having found the net in 10 consecutive league matches, suggests that the Parisians have the upper hand against Rennes. The model gives them a commanding 71% chance of victory, with 2-0 and 2-1 as the leading scoreline predictions. Their expected goals (xG) of 2.45 starkly contrasts with Rennes's 0.86, indicating a potential for a decisive home win.
Rennes, trailing both in points (76 to 59) and expected points (52.5 to 42.9), appear to have their work cut out for them. Despite their inclination for possession control, the numbers highlight vulnerabilities, particularly when facing a high-pressing side like Paris Saint-Germain. The fact that Rennes's expected goals against (xGA) per match stands at a concerning 1.6 compared to Paris Saint-Germain's 0.91 only underscores the defensive frailties they might struggle to mask.
Paris Saint-Germain's impressive home win rate of 61% in the latest 36 matches further tilts the scales. While the weather might play its part, with 14.1 mm of rain expected, any dampening effect on the scoring spree seems already accounted for in the model's probabilities. Even with a wet pitch potentially slowing down the tempo, the forecasted over 2.5 goals at 64% still holds firm, underscoring the attacking threat Paris Saint-Germain poses.
Rennes's slim 13% chance of victory and 16% for a draw suggest that their chances of upsetting the odds are marginal. The betting angle here spotlights the over 2.5 goals, a wager that aligns with the statistical narrative and the likely open nature of the game. For those with a keener eye on value, the 2-0 scoreline at a modest 11% probability might just be the sharpest angle to explore, provided the bookmaker offers enticing odds to match.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Paris Saint-Germain | Rennes |
|---|---|---|
| Points | 76 | 59 |
| xPoints | 52.5 | 42.9 |
| xG per match | 1.8 | 1.6 |
| xGA per match | 0.91 | 1.6 |
| xG within 8s of winning the ball | 0.29 | 0.26 |
| xGA within 8s of losing the ball | 0.2 | 0.28 |
| Playing style | Paris Saint-Germain | Rennes |
|---|---|---|
| Build-up efficiency | 0.34 | 0.3 |
| Field tilt | 0.79 | 0.56 |
| xT per match | 1.2 | 1.1 |
| xTA per match | 0.68 | 1 |
| Won balls, offensive half | 28 | 25 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.29 | 0.27 |
| Pressing efficiency, offensive half | 0.32 | 0.33 |
| Entries into the box per match | 18 | 13 |
| Entries into the box against | 9 | 12 |
| Pass completion % | 0.88 | 0.8 |
| Pass completion % under pressure | 0.83 | 0.74 |
| Passes per match | 674 | 418 |
| Passes against per match | 267 | 358 |
| Switches of play per match | 43.8 | 24 |
| Long balls per match | 39 | 29 |
| Set pieces | Paris Saint-Germain | Rennes |
|---|---|---|
| xG from free kicks | 0.05 | 0.05 |
| Corners per match | 6.4 | 6 |
| Corners against per match | 3.2 | 4.6 |
| xG per corner | 0.06 | 0.06 |
| xGA per corner against | 0.04 | 0.06 |
| First touch, offensive corners % | 0.7 | 0.37 |
| First touch, defensive corners % | 0.52 | 0.53 |
| Other | Paris Saint-Germain | Rennes |
|---|---|---|
| Throw-in control | 0.79 | 0.71 |
| The goalkeepers | Matvey Safonov (Paris Saint-Germain) | Brice Samba (Rennes) |
|---|---|---|
| Saves | 41 | 90 |
| Save % | 75% | 67% |
| xG prevented | 64% | 45% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Paris Saint-Germain a 71% win probability. Full 1X2 picture: Paris Saint-Germain 71%, draw 16%, Rennes 13%.
The model's most likely final score is 2-0 at 11% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 53% 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.