01 · 2 legs
Safe
- Double chance AC Milan or draw (X2)71%
- Under 3.5 goals76%
Serie AStadio Olimpico, Roma23°3,3 mm8 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
A striking 41% win probability for AC Milan sets the tone for this clash against Lazio. Despite the hosts’ three-match winning streak, the model favors the visitors, a sentiment mirrored in expected metrics. Lazio's recent form may boost their confidence, but Milan's superior xPoints of 3.9 against Lazio's 2.3 signals a tangible edge in quality and consistency.
A small head-to-head sample shows Lazio ahead, yet Milan's dominance in xG (2.3) compared to Lazio's 0.81 cannot be overlooked. This discrepancy highlights the Rossoneri's attacking prowess and opportunity creation. With both teams averaging a lower expected goals per match, the likelihood of over 2.5 goals sits at just 45%, casting doubt on a high-scoring fixture. Moreover, Milan's defensive solidity is underscored by their xGA of 0.77, far more resilient than Lazio's 1.3.
The most likely outcomes of a 1-1 draw or a narrow 1-0 victory for Milan reflect the clash between Lazio's balanced approach and Milan's possession control. For punters, the true value lies with Milan to win, leveraging their stronger positional play and attacking efficiency. A cautious nod to under 2.5 goals aligns with these dynamics.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Lazio | X | 2 · AC Milan |
|---|---|---|---|
| Betsafe | 3.25 | 3.15 | 2.32 |
| Betsson | 3.25 | 3.15 | 2.32 |
| Nordicbet | 3.25 | 3.15 | 2.32 |
| Pinnacle | EV+ 0% 3.33 | 3.26 | 2.32 |
Odds updated 8 Sept, 05:16
3.37 → 3.33
3.24 → 3.26
2.23 → 2.32
2.29 → 2.30
Pinnacle · 6 recorded price levels · 05/09/2026 → 08/09/2026 · 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 | Lazio | AC Milan |
|---|---|---|
| Points | 6 | 6 |
| xPoints | 2.3 | 3.9 |
| xG per match | 0.81 | 2.3 |
| xGA per match | 1.3 | 0.77 |
| xG within 8s of winning the ball | 0.07 | 0.34 |
| xGA within 8s of losing the ball | 0.65 | 0.25 |
| Playing style | Lazio | AC Milan |
|---|---|---|
| Build-up efficiency | 0.3 | 0.33 |
| Field tilt | 0.59 | 0.64 |
| xT per match | 0.77 | 1.8 |
| xTA per match | 0.89 | 0.43 |
| Won balls, offensive half | 19 | 28 |
| Pressing intensity | 0.2 | 0.21 |
| Pressing efficiency | 0.24 | 0.31 |
| Pressing efficiency, offensive half | 0.19 | 0.22 |
| Entries into the box per match | 9 | 17 |
| Entries into the box against | 10 | 6 |
| Pass completion % | 0.79 | 0.83 |
| Pass completion % under pressure | 0.74 | 0.8 |
| Passes per match | 331 | 487 |
| Passes against per match | 437 | 321 |
| Switches of play per match | 26 | 35.8 |
| Long balls per match | 28 | 38 |
| Set pieces | Lazio | AC Milan |
|---|---|---|
| xG from free kicks | 0 | 0 |
| Corners per match | 4.8 | 3.1 |
| Corners against per match | 4.8 | 2.6 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.04 | 0.02 |
| First touch, offensive corners % | 0.5 | 0.5 |
| First touch, defensive corners % | 0.3 | 0.6 |
| Other | Lazio | AC Milan |
|---|---|---|
| Throw-in control | 0.65 | 0.7 |
| The goalkeepers | Christos Mandas (Lazio) | Mike Maignan (AC Milan) |
|---|---|---|
| Saves | 6 | 2 |
| Save % | 100% | 67% |
| xG prevented | 100% | 68% |
| Claims | 0 (0%) | 0 (0%) |
The model gives AC Milan a 41% win probability. Full 1X2 picture: Lazio 30%, draw 29%, AC Milan 41%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 45% and under at 55%.
The probability of both teams scoring is 50% 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.