Serie A
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Lazio
Monza
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Inter
|
4 | 4 | 0 | 0 | +12 | +7.1 | 12 |
| 2 |
Milan
|
5 | 4 | 0 | 1 | +3 | +2.1 | 12 |
| 3 |
Lecce
|
5 | 3 | 2 | 0 | +4 | -1.2 | 11 |
| 4 |
Juventus
|
5 | 3 | 1 | 1 | +5 | +4.9 | 10 |
| 5 |
Frosinone
|
5 | 2 | 2 | 1 | +1 | -0.2 | 8 |
| 6 |
Napoli
|
4 | 2 | 1 | 1 | +3 | +4.4 | 7 |
| 7 |
Torino
|
4 | 2 | 1 | 1 | +1 | -0.6 | 7 |
| 8 |
Fiorentina
|
4 | 2 | 1 | 1 | +0 | -1.1 | 7 |
| 9 |
Verona
|
5 | 2 | 1 | 2 | -1 | -2.6 | 7 |
| 10 |
Atalanta
|
4 | 2 | 0 | 2 | +3 | +2.3 | 6 |
| 11 |
Sassuolo
|
5 | 2 | 0 | 3 | -2 | -4.3 | 6 |
| 12 |
Bologna
|
4 | 1 | 2 | 1 | -1 | +1.9 | 5 |
| 13 |
Roma
|
4 | 1 | 1 | 2 | +5 | +3.8 | 4 |
| 14 |
Monza
|
4 | 1 | 1 | 2 | -3 | -0.5 | 4 |
| 15 |
Genoa
|
5 | 1 | 1 | 3 | -4 | -2.3 | 4 |
| 16 |
Lazio
|
4 | 1 | 0 | 3 | -3 | -1.4 | 3 |
| 17 |
Udinese
|
4 | 0 | 3 | 1 | -3 | -1.6 | 3 |
| 18 |
Salernitana
|
5 | 0 | 3 | 2 | -5 | -3.5 | 3 |
| 19 |
Cagliari
|
4 | 0 | 2 | 2 | -3 | -1.8 | 2 |
| 20 |
Empoli
|
4 | 0 | 0 | 4 | -12 | -5.3 | 0 |
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.
I. Provedel
G
A. Marušić
D
A. Romagnoli
D
M. Guendouzi
M
D. Cataldi
M
G. Isaksen
F
M. Zaccagni
F
Coach: M. Sarri
M. Di Gregorio
G
A. Izzo
D
A. Carboni
D
R. Gagliardini
M
G. Kyriakopoulos
M
A. Colpani
F
Dany Mota
F
L. Colombo
F
Coach: R. Palladino
Green columns are the outcomes that came in.
Lazio
Ath Madrid
Juventus
Lazio
Napoli
Lazio
Lazio
Genoa
Lecce
Lazio
R Abisso · 98 kamper i vår database
🟥 Red cards: 0,27 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.