01 · 2 legs
Safe
- Roma to win52%
- Under 3.5 goals73%
Serie AStadio Olimpico, Roma27°16 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
TEXT: Roma's current form is a force to be reckoned with, as they ride a wave of six consecutive victories. This momentum is reflected not just in their results, but in the underlying numbers as well. The model probabilities favor the hosts at 52% to claim the win, with a draw at 25% and Atalanta trailing behind at 23%. With Roma consistently finding the back of the net in their last 16 league matches, the expectation is for them to continue this trend against a physical Atalanta side.
Despite Atalanta's ability to balance possession and physicality, they face a daunting task at the Stadio Olimpico. Roma's expected goals (xG) sit at 1.64 compared to Atalanta's 1.00, indicating a clear attacking advantage for the home side. Furthermore, the xPoints heavily lean towards Roma at 2.8 versus Atalanta's 0.5, underscoring the anticipated dominance of the home side in this fixture.
Though Atalanta has a favorable head-to-head record over the past four encounters with three wins and a draw, this small sample size is overshadowed by Roma's current explosive form and superior xG metrics. Roma's xGA per match is just 0.3, while Atalanta's defensive frailty is apparent at 2.3 xGA per match. This suggests the hosts will likely have ample opportunities to convert their possession into goals.
The most likely scorelines point towards a tight affair, with 1-1 at 12% and 1-0 at 11%. However, given the data, a 2-0 victory for Roma (10%) reflects both their scoring prowess and defensive solidity. While the over 2.5 goals is nearly a coin toss at 49%, the match leans towards a more restrained affair reflective of Roma's defensive discipline.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Roma | X | 2 · Atalanta |
|---|---|---|---|
| Bet365 | 1.90 | 3.30 | 4.33 |
| Betfair Exchange | EV+ 4% 1.98 | 3.65 | 4.30 |
| Betsafe | 1.90 | 3.40 | 4.25 |
| Betsson | 1.90 | 3.40 | 4.30 |
| Nordicbet | 1.90 | 3.40 | 4.30 |
| Pinnacle | EV+ 0% 1.92 | 3.62 | 4.16 |
Odds updated 31 Aug, 16:36
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 | Roma | Atalanta |
|---|---|---|
| Points | 3 | 3 |
| xPoints | 2.8 | 0.5 |
| xG per match | 3.3 | 0.88 |
| xGA per match | 0.3 | 2.3 |
| xG within 8s of winning the ball | 0.74 | 0.13 |
| xGA within 8s of losing the ball | 0.12 | 0.39 |
| Playing style | Roma | Atalanta |
|---|---|---|
| Build-up efficiency | 0.29 | 0.33 |
| Field tilt | 0.68 | 0.46 |
| xT per match | 2 | 1 |
| xTA per match | 0.49 | 1.2 |
| Won balls, offensive half | 21 | 13 |
| Pressing intensity | 0.22 | 0.23 |
| Pressing efficiency | 0.39 | 0.17 |
| Pressing efficiency, offensive half | 0.34 | 0.11 |
| Entries into the box per match | 18 | 9 |
| Entries into the box against | 4 | 13 |
| Pass completion % | 0.84 | 0.86 |
| Pass completion % under pressure | 0.79 | 0.83 |
| Passes per match | 503 | 551 |
| Passes against per match | 291 | 428 |
| Switches of play per match | 31.2 | 31.6 |
| Long balls per match | 32 | 32 |
| Set pieces | Roma | Atalanta |
|---|---|---|
| xG from free kicks | 0 | 0 |
| Corners per match | 2.1 | 4.1 |
| Corners against per match | 3.1 | 4.1 |
| xG per corner | 0 | 0.01 |
| xGA per corner against | 0 | 0.08 |
| First touch, offensive corners % | 0.5 | 0.25 |
| First touch, defensive corners % | 0.67 | 0.25 |
| Other | Roma | Atalanta |
|---|---|---|
| Throw-in control | 0.75 | 0.79 |
| The goalkeepers | Mile Svilar (Roma) | Marco Carnesecchi (Atalanta) |
|---|---|---|
| Saves | 5 | 7 |
| Save % | 100% | 88% |
| xG prevented | 100% | 51% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Roma a 52% win probability. Full 1X2 picture: Roma 52%, draw 25%, Atalanta 23%.
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 51% 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.