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Serie B
Como
S S T U U
0–1
Full-time
Pisa
U T S S 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

Como Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,5
Over 2.5 Ø 34%
67%
0%
Both score Ø 67%
83%
50%
Average goals
3,3
1,7
Scored
2,0
0,8
Conceded
1,3
0,8
Goal diff per game
+0,7
+0,0
This season — Serie B · 15/15 matches
Win Ø 43%
33%
53%
Points per game
1,4
1,9
Over 2.5 Ø 34%
40%
27%
Both score Ø 64%
67%
60%
Average goals
2,9
2,3
Scored
1,5
1,5
Conceded
1,3
0,8
Goal diff per game
+0,2
+0,7
🔒 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: 0–1

21 Shots 13
6 Shots on target 2
3 Corners 7
11 Free kicks against 24
3 Yellow cards 2
0 Red cards 0
The table before the match Como 13. · Pisa 3.
# Team K V U T +/− P
1 Lecce 16 8 7 1 +15 31
2 Brescia 15 9 3 3 +10 30
3 Pisa 15 8 5 2 +10 29
4 Benevento 16 8 4 4 +11 28
5 Cremonese 16 7 5 4 +6 26
6 Frosinone 16 5 10 1 +8 25
7 Monza 15 6 7 2 +5 25
8 Ascoli 15 7 4 4 +3 25
9 Perugia 16 6 7 3 +3 25
10 Ternana 16 6 4 6 +2 22
11 Cittadella 15 6 4 5 +0 22
12 Reggina 16 6 4 6 -4 22
13 Como 15 5 6 4 +3 21
14 Spal 16 5 5 6 +2 20
15 Parma 15 4 6 5 -2 18
16 Cosenza 16 4 3 9 -12 15
17 Alessandria 15 4 2 9 -11 14
18 Crotone 16 1 5 10 -14 8
19 Vicenza 16 2 1 13 -16 7
20 Pordenone 16 1 4 11 -19 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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,56
U
3,05
B ✓
2,86
Over/under goals
U1,5 ✓
O2,5
2,01
U2,5 ✓
1,79
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

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