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Serie A
Referee: Luca Banti
Lazio
T S S T T
2–0
Full-time
Inter
T S S 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

Lazio Inter
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,2
1,7
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
50%
50%
Average goals
3,0
2,2
Scored
1,3
1,3
Conceded
1,7
0,8
Goal diff per game
-0,3
+0,5
This season — Serie A · 35/35 matches
Win Ø 46%
37%
54%
Points per game
1,4
1,8
Over 2.5 Ø 45%
49%
40%
Both score Ø 46%
46%
46%
Average goals
2,6
2,3
Scored
1,3
1,3
Conceded
1,3
0,9
Goal diff per game
-0,1
+0,4
🔒 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: 1–0

44% Possession 56%
9 Shots 15
4 Shots on target 4
1 Blocked shots 8
4 Goalkeeper saves 2
1 Corners 5
3 Offside 1
0 Free kicks against 0
5 Yellow cards 2
0 Red cards 1
The table before the match Lazio 9. · Inter 4.
# Team K V U T +/− P
1 Juventus 36 28 4 4 +51 88
2 Napoli 35 22 7 6 +42 73
3 Roma 35 20 11 4 +36 71
4 Inter 35 19 7 9 +15 64
5 Fiorentina 36 17 9 10 +16 60
6 Sassuolo 36 14 13 9 +6 55
7 Milan 36 14 12 10 +7 54
8 Chievo 36 13 10 13 +1 49
9 Lazio 35 13 9 13 -2 48
10 Torino 36 12 9 15 -1 45
11 Genoa 35 12 7 16 -4 43
12 Empoli 36 11 10 15 -9 43
13 Atalanta 35 10 11 14 -6 41
14 Bologna 36 11 8 17 -11 41
15 Sampdoria 36 10 10 16 -5 40
16 Udinese 36 10 8 18 -24 38
17 Carpi 36 8 11 17 -19 35
18 Palermo 36 9 8 19 -28 35
19 Frosinone 36 8 7 21 -36 31
20 Verona 36 4 13 19 -29 25

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

20. Dec -15 Inter – Lazio 1–2

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