01 · 2 legs
Safe
- Juventus to win51%
- Over 1.5 goals80%
Serie AAllianz Stadium, Torino27°12 km/h
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JuventusPossession & high pressvs
AC MilanPossession controlThe model's lean: 1 · Juventus (51%)Best value by the model: Over 4,5 @ 8.09 (+44 %)
Juventus – AC Milan · Serie A
1 · Juventus 51%X 27%23% AC Milan · 2
51%
27%
23%
Analysis: Juventus – AC Milan
Erik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: Juventus holds a 51% probability of winning in their upcoming clash against AC Milan, with the visitors at a mere 23%. The numbers suggest a slight edge for the hosts, reinforced by their 56% win rate at home all-time (39 matches played). Despite the small sample size of head-to-head matches, it's notable that Juventus has not lost to Milan in their last four encounters, which includes one victory and three draws. The most likely scorelines, such as a 1-1 or 2-1, highlight the close nature of this fixture.
Expected goals provide a clearer picture: Juventus stands at 1.75 while Milan is at 1.21. Both teams are fond of possession play, but the hosts apply a high press, which might give them the upper hand. Juventus excels in defensive metrics, conceding just 0.39 xGA per match compared to Milan's 0.77. They also generate more threat within eight seconds of winning the ball, indicating their efficiency in capitalizing on pressing situations.
While the main line suggests a tight affair, the model indicates a potential high-scoring game with over 4.5 goals. Betsafe, Betsson, and Nordicbet offer this line at odds of 8.09, presenting a 44% value edge. For those seeking value, this could be the angle to exploit.
JuventusForm WLDWW
League ranking xG #5xGA #1xT #4xP/match #5Points #4
Key players
- Douglas LuizFxG 0.36 · xT 0.01
- Manuel LocatelliCMxG 0.00 · xT 0.28
- Pierre KaluluRWBxG 0.05 · xT 0.26
AC MilanForm LWLWW
League ranking xG #3xGA #5xT #2xP/match #4Points #3
Key players
- Samuel ChukwuezeRWxG 0.18 · xT 0.40
- Gonçalo RamosFxG 1.03 · xT 0.00
- Ruben Loftus CheekRWxG 0.34 · xT 0.25
Match prediction: Juventus – AC Milan
Predicted score matrix
AC Milan →
Juventus →
0
1
2
3
4+
0
0–05.5%
0–16.0%
0–23.8%
0–31.5%
0–4+0.6%
1
1–08.8%
1–111.3%
1–26.6%
1–32.7%
1–4+1.1%
2
2–07.9%
2–19.6%
2–25.8%
2–32.3%
2–4+0.9%
3
3–04.6%
3–15.6%
3–23.4%
3–31.4%
3–4+0.5%
4+
4+–03.0%
4+–13.6%
4+–22.2%
4+–30.9%
4+–4+0.3%
Most likely scorelines
- 1.1-111%
- 2.2-110%
- 3.1-09%
- 4.2-08%
- 5.1-27%
Expected goals
1,75–1,21
Both teams to score
58%
Over/under goals
Expected goals: 3,00
115%
223%
322%
417%
5+18%
Under 2,543%
@1.75
Over 2,557%
@2.14EV+19%
Ready-made bet suggestions
More combos & build your own →02 · 3 legs
Balanced
- Juventus to win51%
- Over 2.5 goals57%
- Jonathan Christian David to score34%
03 · 4 legs
Bold
- Both teams to score58%
- Over 2.5 goals57%
- Jonathan Christian David to score34%
- Samuele Ricci to be booked24%
Odds & value
The model's value spots
Bets where the model's probability beats what the odds imply (EV+).
- Over 4.518% probability@8.09BetsafeEV+44%reference odds
- Over 4.518% probability@8.09BetssonEV+44%reference odds
- Over 4.518% probability@8.09NordicbetEV+44%reference odds
| Bookmaker | 1 · Juventus | X | 2 · AC Milan |
|---|---|---|---|
| Betsafe | EV+ 6% 2.08 | 3.30 | 3.70 |
| Betsson | EV+ 6% 2.08 | 3.30 | 3.70 |
| Nordicbet | EV+ 6% 2.08 | 3.30 | 3.70 |
| Pinnacle | EV+ 8% 2.12 | 3.34 | 3.75 |
Odds updated 4 Sept, 12:30
Odds movement
1+4 %
48 %43 %
2.03 → 2.12
X-2 %
31 %26 %
3.42 → 3.34
2+1 %
28 %23 %
3.71 → 3.75
Over 2,5+3 %
48 %43 %
2.08 → 2.14
Pinnacle · 10 recorded price levels · 29/08/2026 → 04/09/2026 · fixed scale 5 percentage points
Statistics
Head-to-head
4 matchesJuventus 1Draw 3AC Milan 0
Goals: 2–0 (⌀ 0,5)
Head-to-head based on Serie A data since 2021.
Key facts
- Juventus win 56% of their home matches all-time (39 played).
Solid line = created (xG), dashed = conceded (xGA).
Juventus
AC Milan
Juventus (3–0)
AC Milan (4–1)
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
Juventus
AC Milan
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.
Juventus
AC Milan
The teams in numbers
| Performance | Juventus | AC Milan |
|---|---|---|
| Points | 6 | 6 |
| xPoints | 3.9 | 3.9 |
| xG per match | 1.8 | 2.3 |
| xGA per match | 0.39 | 0.77 |
| xG within 8s of winning the ball | 0.49 | 0.34 |
| xGA within 8s of losing the ball | 0.12 | 0.25 |
| Playing style | Juventus | AC Milan |
|---|---|---|
| Build-up efficiency | 0.32 | 0.33 |
| Field tilt | 0.77 | 0.64 |
| xT per match | 1.6 | 1.8 |
| xTA per match | 0.39 | 0.43 |
| Won balls, offensive half | 26 | 28 |
| Pressing intensity | 0.22 | 0.21 |
| Pressing efficiency | 0.36 | 0.31 |
| Pressing efficiency, offensive half | 0.31 | 0.22 |
| Entries into the box per match | 18 | 17 |
| Entries into the box against | 6 | 6 |
| Pass completion % | 0.82 | 0.83 |
| Pass completion % under pressure | 0.8 | 0.8 |
| Passes per match | 440 | 488 |
| Passes against per match | 257 | 322 |
| Switches of play per match | 30.1 | 35.9 |
| Long balls per match | 30 | 38 |
| Set pieces | Juventus | AC Milan |
|---|---|---|
| xG from free kicks | 0 | 0 |
| Corners per match | 10.7 | 3.1 |
| Corners against per match | 2.4 | 2.6 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.01 | 0.02 |
| First touch, offensive corners % | 0.77 | 0.5 |
| First touch, defensive corners % | 0.6 | 0.6 |
| Other | Juventus | AC Milan |
|---|---|---|
| Throw-in control | 0.63 | 0.7 |
| The goalkeepers | Guglielmo Vicario (Juventus) | Mike Maignan (AC Milan) |
|---|---|---|
| Saves | 5 | 2 |
| Save % | 100% | 67% |
| xG prevented | 100% | 68% |
| Claims | 0 (0%) | 0 (0%) |
Frequently asked questions
Who wins Juventus vs AC Milan according to our model?
The model gives Juventus a 51% win probability. Full 1X2 picture: Juventus 51%, draw 27%, AC Milan 23%.
What is the most likely scoreline?
The model's most likely final score is 1-1 at 11% probability.
Over or under 2.5 goals?
The model rates over 2.5 goals at 57% and under at 43%.
Will both teams score?
The probability of both teams scoring is 58% according to the model.
Why are some legs locked in the bet builder?
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.
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Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.