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Serie A
Referee: Marco Guida
Milan
U U T T S
0–0
Full-time
Carpi
S S T T S

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Milan Carpi
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,8
1,7
Over 2.5 Ø 50%
33%
67%
Both score Ø 59%
50%
67%
Average goals
1,8
2,7
Scored
0,7
1,5
Conceded
1,2
1,2
Goal diff per game
-0,5
+0,3
This season — Serie A · 33/33 matches
Win Ø 32%
42%
21%
Points per game
1,6
0,9
Over 2.5 Ø 50%
39%
61%
Both score Ø 58%
52%
64%
Average goals
2,4
2,5
Scored
1,3
1,0
Conceded
1,1
1,5
Goal diff per game
+0,2
-0,5
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–0

76% Possession 24%
19 Shots 6
3 Shots on target 2
9 Blocked shots 2
2 Goalkeeper saves 3
4 Corners 3
2 Offside 2
0 Free kicks against 0
2 Yellow cards 3
0 Red cards 0
The table before the match Milan 6. · Carpi 17.
# Team K V U T +/− P
1 Juventus 34 26 4 4 +48 82
2 Napoli 34 22 7 5 +43 73
3 Roma 34 19 11 4 +35 68
4 Inter 34 18 7 9 +13 61
5 Fiorentina 34 17 8 9 +17 59
6 Milan 33 14 10 9 +8 52
7 Sassuolo 34 12 13 9 +3 49
8 Chievo 34 13 9 12 +2 48
9 Lazio 34 13 9 12 -1 48
10 Genoa 34 12 7 15 -2 43
11 Torino 34 11 9 14 -3 42
12 Empoli 34 11 9 14 -8 42
13 Atalanta 34 9 11 14 -7 38
14 Udinese 34 10 8 16 -18 38
15 Sampdoria 34 9 10 15 -4 37
16 Bologna 34 10 7 17 -13 37
17 Carpi 33 7 10 16 -18 31
18 Frosinone 34 8 6 20 -34 30
19 Palermo 34 7 8 19 -32 29
20 Verona 34 3 13 18 -29 22

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Recent head-to-head meetings

6. Dec -15 Carpi – Milan 0–0

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.