01 · 2 legs
Safe
- Double chance Nancy or draw (X2)62%
- Under 3.5 goals83%
Ligue 2Stade de la Libération, Boulogne-sur-Mer21°13 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
The numbers tell a compelling story as Boulogne braces for another challenge with Nancy. Nancy holds a 38% chance of victory, edging out Boulogne's 32% and the 29% chance of a stalemate. The models seem to lean towards Nancy, and it's not hard to see why. Boulogne has been on a dismal run, losing their last four matches, and their xG of 0.92 isn't exactly setting the world alight. Nancy, on the other hand, boasts a slightly better xG of 1.1 and a points tally (37) surpassing Boulogne's 30, suggesting they might just have the upper hand.
Boulogne's possession-heavy style contrasts sharply with Nancy's low defensive setup, favoring direct play. This could lead to a tactical deadlock, and the model's most likely scoreline predictions of 1-1, 1-0, and 0-0 align with these contrasting styles. The expected goals for both teams hover just above 1, reinforcing a narrative of a closely contested, low-scoring affair. With a 37% chance of over 2.5 goals and a mere 44% probability for both teams to score, the numbers lean toward a cautious encounter with few fireworks.
Nancy's slight edge in expected metrics and the two-game head-to-head record since 2023 (1 draw, 1 loss for Boulogne) suggest that the visitors might just nick it. However, with such a small sample, current form and expected goals carry more weight.
With overcast forecasts of low-scoring potential, the sharpest betting angles lie in the unders. Bet365 offers value propositions: under 1.5 goals at odds of 3.0 and under 2.5 at 1.7, both presenting an 8% edge according to the model. Nancy to win at odds of 2.75 is another tempting punt, presenting a 6% edge. In a match that's likely to be more chess than fireworks, keeping stakes low and siding with unders might just be the savvy play.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Boulogne | X | 2 · Nancy |
|---|---|---|---|
| Bet365 | 2.40 | 3.20 | EV+ 6% 2.75 |
Odds updated 4 Aug, 09:04
Head-to-head based on Ligue 2 data since 2023.
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 | Boulogne | Nancy |
|---|---|---|
| Points | 30 | 37 |
| xPoints | 39.3 | 45.4 |
| xG per match | 0.92 | 1.1 |
| xGA per match | 1.2 | 1.2 |
| xG within 8s of winning the ball | 0.13 | 0.22 |
| xGA within 8s of losing the ball | 0.16 | 0.15 |
| Playing style | Boulogne | Nancy |
|---|---|---|
| Build-up efficiency | 0.33 | 0.35 |
| Field tilt | 0.47 | 0.43 |
| xT per match | 0.79 | 0.79 |
| xTA per match | 0.82 | 1 |
| Won balls, offensive half | 27 | 26 |
| Pressing intensity | 0.21 | 0.21 |
| Pressing efficiency | 0.28 | 0.25 |
| Pressing efficiency, offensive half | 0.35 | 0.31 |
| Entries into the box per match | 8 | 10 |
| Entries into the box against | 10 | 11 |
| Pass completion % | 0.72 | 0.71 |
| Pass completion % under pressure | 0.67 | 0.67 |
| Passes per match | 301 | 271 |
| Passes against per match | 369 | 417 |
| Switches of play per match | 17 | 16.3 |
| Long balls per match | 25 | 30 |
| Set pieces | Boulogne | Nancy |
|---|---|---|
| xG from free kicks | 0.06 | 0.14 |
| Corners per match | 4 | 4.5 |
| Corners against per match | 4.9 | 4.6 |
| xG per corner | 0.02 | 0.05 |
| xGA per corner against | 0.06 | 0.05 |
| First touch, offensive corners % | 0.42 | 0.41 |
| First touch, defensive corners % | 0.63 | 0.57 |
| Other | Boulogne | Nancy |
|---|---|---|
| Throw-in control | 0.7 | 0.65 |
| The goalkeepers | Blondy Rudolph Nna Noukeu (Boulogne) | Enzo Basilio (Nancy) |
|---|---|---|
| Saves | 30 | 86 |
| Save % | 64% | 66% |
| xG prevented | 33% | 40% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Nancy a 38% win probability. Full 1X2 picture: Boulogne 32%, draw 29%, Nancy 38%.
The model's most likely final score is 1-1 at 14% probability.
The model rates over 2.5 goals at 37% and under at 63%.
The probability of both teams scoring is 44% 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.