01 · 2 legs
Safe
- Double chance Toulouse or draw (X2)65%
- Under 3.5 goals72%
Ligue 1Stade Francis-Le Blé, Brest18°4,3 mm28 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
The most striking number here is the 35% chance of both Brest and Toulouse winning, highlighting a razor-thin margin that the model slightly leans in favor of the visitors. Both teams are evenly matched in terms of outright probabilities, but the expected goals tilt towards Toulouse with 1.39 compared to Brest's 1.30. This reflects a subtle edge for the visitors, despite Brest's slightly better xG statistics historically and a home advantage.
Yet, digging deeper, Brest's past performances against Toulouse reveal a small sample size of four matches with two wins each since 2022, suggesting a balanced head-to-head record that holds less weight than current team form. Interestingly, the expected goals per match and xPoints metrics favor the hosts, indicating that Brest has often created more and conceded less in recent displays compared to Toulouse. However, the expected weather conditions, with 6.3 mm of rain, could suppress goal-scoring opportunities, impacting both teams' attacking prowess—though this element is already factored into the model.
For bettors, the standout value lies with Toulouse, given their model lean and slight xG advantage. With both teams also having a 55% chance to score, a 1-1 draw seems the most likely result, while the over/under 2.5 goals market hovers just above even at 51%, suggesting a cautious but intriguing betting landscape.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Brest | X | 2 · Toulouse |
|---|---|---|---|
| Betsafe | 2.65 | 3.40 | 2.55 |
| Betsson | 2.65 | 3.40 | 2.55 |
| Nordicbet | 2.65 | 3.40 | 2.55 |
| Pinnacle | 2.71 | 3.41 | 2.67 |
Odds updated 25 Aug, 10:36
2.69 → 2.71
3.39 → 3.41
2.67 → 2.67
1.99 → 2.00
Pinnacle · 3 recorded price levels · 24/08/2026 → 25/08/2026 · fixed scale 5 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 | Brest | Toulouse |
|---|---|---|
| Points | 1 | 0 |
| xPoints | 2.5 | 1.8 |
| xG per match | 3.1 | 1.9 |
| xGA per match | 0.59 | 1 |
| xG within 8s of winning the ball | 0.41 | 0.44 |
| xGA within 8s of losing the ball | 0.38 | 0.12 |
| Playing style | Brest | Toulouse |
|---|---|---|
| Build-up efficiency | 0.28 | 0.31 |
| Field tilt | 0.66 | 0.4 |
| xT per match | 1.6 | 0.62 |
| xTA per match | 0.45 | 0.42 |
| Won balls, offensive half | 48 | 21 |
| Pressing intensity | 0.2 | 0.26 |
| Pressing efficiency | 0.3 | 0.25 |
| Pressing efficiency, offensive half | 0.26 | 0.15 |
| Entries into the box per match | 20 | 15 |
| Entries into the box against | 5 | 12 |
| Pass completion % | 0.73 | 0.79 |
| Pass completion % under pressure | 0.66 | 0.72 |
| Passes per match | 322 | 376 |
| Passes against per match | 320 | 424 |
| Switches of play per match | 41.8 | 34.4 |
| Long balls per match | 50 | 39 |
| Set pieces | Brest | Toulouse |
|---|---|---|
| xG from free kicks | 0.28 | 0 |
| Corners per match | 9.7 | 6.1 |
| Corners against per match | 0.97 | 5.1 |
| xG per corner | 0.12 | 0.13 |
| xGA per corner against | 0 | 0.02 |
| First touch, offensive corners % | 0.4 | 0.8 |
| First touch, defensive corners % | 1 | 0.8 |
| Other | Brest | Toulouse |
|---|---|---|
| Throw-in control | 0.64 | 0.78 |
| The goalkeepers | Egil Selvik (Brest) | Rasmus Nicolaisen (Toulouse) |
|---|---|---|
| Saves | 3 | 2 |
| Save % | 60% | 100% |
| xG prevented | 32% | 100% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Toulouse a 35% win probability. Full 1X2 picture: Brest 35%, draw 29%, Toulouse 35%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 51% and under at 49%.
The probability of both teams scoring is 55% 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.