01 · 2 legs
Safe
- Atalanta to win54%
- Under 3.5 goals73%
Serie AGewiss Stadium, Bergamo25°10 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
The odds favor Atalanta with a 54% model probability of winning, but the underlying metrics tell a more nuanced story. Despite the hosts' historical advantage with two wins in their last four encounters against Bologna, the visitors have consistently outperformed in expected goals (xG) and expected points (xPoints) per match since 2021. Bologna's impressive xG of 2.1 per match dwarfs Atalanta's 0.88, a significant indicator of their ability to create quality chances, even if these haven’t always translated into actual points.
Atalanta's physical and balanced approach might find its match in Bologna's equally robust style, suggesting a tightly contested affair. The expected goals lean slightly toward the home team, with Atalanta at 1.61 compared to Bologna's 1.04, hinting at a potential edge in finishing ability. However, Bologna's stingy defense, with an xGA of just 0.59, could frustrate Atalanta's attacking ambitions, making any breakthrough hard-earned.
The most likely scoreline, according to the model, is a 1-1 draw at 12%, closely followed by a narrow 1-0 victory for Atalanta at 11%. This suggests a low-scoring game, though the probability for both teams to score stands at 52%. These probabilities align with a cautious outlook on the over/under 2.5 goals market, which is evenly split at 49%. Given the tactical setups and defensive strengths, leaning toward the under could be prudent.
From a betting perspective, there's a slight value in backing Atalanta to win with odds of 1.9 available at Betsafe, Betsson, and Nordicbet. The 2% edge in value (EV+) makes it a calculated risk, even as the metrics suggest Bologna could challenge the hosts more than the odds imply. The decisive factor may well be Atalanta's ability to capitalize on their scoring chances against Bologna's stout defense.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Atalanta | X | 2 · Bologna |
|---|---|---|---|
| Betsafe | EV+ 2% 1.90 | 3.50 | 4.10 |
| Betsson | EV+ 2% 1.90 | 3.50 | 4.15 |
| Nordicbet | EV+ 2% 1.90 | 3.50 | 4.15 |
| Pinnacle | EV+ 4% 1.94 | 3.64 | 4.07 |
Odds updated 31 Aug, 11:35
Market signal
The market has moved clearly towards under 2.5 goals since 24 August — the odds have shortened from 2.08 to 1.93 (−7%).
1.86 → 1.94
3.79 → 3.64
4.08 → 4.07
1.78 → 1.95
Pinnacle · 14 recorded price levels · 24/08/2026 → 31/08/2026 · fixed scale 5 percentage points
Head-to-head based on Serie A data since 2021.
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 | Atalanta | Bologna |
|---|---|---|
| Points | 3 | 0 |
| xPoints | 0.5 | 2.1 |
| xG per match | 0.88 | 2.1 |
| xGA per match | 2.3 | 0.59 |
| xG within 8s of winning the ball | 0.13 | 1.3 |
| xGA within 8s of losing the ball | 0.39 | 0.03 |
| Playing style | Atalanta | Bologna |
|---|---|---|
| Build-up efficiency | 0.33 | 0.29 |
| Field tilt | 0.46 | 0.54 |
| xT per match | 1 | 1.3 |
| xTA per match | 1.2 | 0.59 |
| Won balls, offensive half | 13 | 14 |
| Pressing intensity | 0.23 | 0.2 |
| Pressing efficiency | 0.17 | 0.2 |
| Pressing efficiency, offensive half | 0.11 | 0.17 |
| Entries into the box per match | 9 | 11 |
| Entries into the box against | 13 | 7 |
| Pass completion % | 0.86 | 0.83 |
| Pass completion % under pressure | 0.83 | 0.74 |
| Passes per match | 551 | 390 |
| Passes against per match | 429 | 255 |
| Switches of play per match | 31.6 | 26.8 |
| Long balls per match | 32 | 25 |
| Set pieces | Atalanta | Bologna |
|---|---|---|
| xG from free kicks | 0 | 0 |
| Corners per match | 4.1 | 7.7 |
| Corners against per match | 4.1 | 5.8 |
| xG per corner | 0.01 | 0.05 |
| xGA per corner against | 0.08 | 0.01 |
| First touch, offensive corners % | 0.25 | 0.75 |
| First touch, defensive corners % | 0.25 | 0.5 |
| Other | Atalanta | Bologna |
|---|---|---|
| Throw-in control | 0.79 | 0.57 |
| The goalkeepers | Marco Carnesecchi (Atalanta) | Lukasz Skorupski (Bologna) |
|---|---|---|
| Saves | 7 | 2 |
| Save % | 88% | 67% |
| xG prevented | 51% | 39% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Atalanta a 54% win probability. Full 1X2 picture: Atalanta 54%, draw 25%, Bologna 22%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 49% and under at 51%.
The probability of both teams scoring is 52% 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.