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Serie A
Referee: Davide Massa
Cagliari
T S T T U
2–0
Full-time
Spal
U T T U U

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

Cagliari Spal
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,7
1,0
Over 2.5 Ø 42%
33%
50%
Both score Ø 67%
50%
83%
Average goals
1,8
3,3
Scored
0,7
1,3
Conceded
1,2
2,0
Goal diff per game
-0,5
-0,7
This season — Serie A · 22/22 matches
Win Ø 21%
27%
14%
Points per game
1,0
0,8
Over 2.5 Ø 50%
55%
45%
Both score Ø 59%
50%
68%
Average goals
2,5
2,9
Scored
0,9
1,0
Conceded
1,5
1,8
Goal diff per game
-0,6
-0,8
🔒 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

50% Possession 50%
12 Shots 10
4 Shots on target 3
3 Blocked shots 2
3 Goalkeeper saves 2
6 Corners 3
3 Offside 2
27 Free kicks against 15
5 Yellow cards 2
0 Red cards 0
The table before the match Cagliari 16. · Spal 18.
# Team K V U T +/− P
1 Napoli 22 18 3 1 +34 57
2 Juventus 22 18 2 2 +37 56
3 Lazio 22 14 4 4 +30 46
4 Inter 23 12 9 2 +20 45
5 Roma 23 13 5 5 +16 44
6 Sampdoria 23 11 5 7 +10 38
7 Milan 22 10 4 8 +0 34
8 Atalanta 22 9 6 7 +7 33
9 Torino 23 7 12 4 +4 33
10 Udinese 22 10 2 10 +4 32
11 Fiorentina 22 7 7 8 +3 28
12 Bologna 22 8 3 11 -6 27
13 Chievo 22 5 7 10 -18 22
14 Sassuolo 22 6 4 12 -20 22
15 Genoa 22 5 6 11 -8 21
16 Cagliari 22 6 3 13 -14 21
17 Crotone 23 5 5 13 -22 20
18 Spal 22 3 8 11 -17 17
19 Verona 23 4 4 15 -24 16
20 Benevento 22 2 1 19 -36 7

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

17. Sep -17 Spal – Cagliari 0–2

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