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Serie B
Cremonese
T S S U T
1–1
Full-time
Pisa
S U S T 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

Cremonese Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,7
1,8
Over 2.5 Ø 42%
33%
50%
Both score Ø 58%
33%
83%
Average goals
2,0
2,7
Scored
1,0
1,7
Conceded
1,0
1,0
Goal diff per game
+0,0
+0,7
This season — Serie B · 9/9 matches
Win Ø 62%
56%
67%
Points per game
1,8
2,2
Over 2.5 Ø 39%
33%
44%
Both score Ø 45%
22%
67%
Average goals
2,0
2,7
Scored
1,2
1,9
Conceded
0,8
0,8
Goal diff per game
+0,4
+1,1
🔒 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

18 Shots 13
4 Shots on target 6
9 Corners 8
9 Free kicks against 23
0 Yellow cards 4
0 Red cards 0
The table before the match Cremonese 5. · Pisa 1.
# Team K V U T +/− P
1 Pisa 9 6 2 1 +10 20
2 Brescia 10 5 3 2 +7 18
3 Lecce 10 4 5 1 +5 17
4 Benevento 9 4 4 1 +8 16
5 Cremonese 9 5 1 3 +4 16
6 Reggina 9 4 4 1 +2 16
7 Frosinone 10 3 6 1 +4 15
8 Perugia 9 3 5 1 +4 14
9 Ascoli 10 4 2 4 +0 14
10 Monza 10 3 5 2 +0 14
11 Cosenza 10 4 2 4 -3 14
12 Spal 10 3 4 3 +4 13
13 Ternana 10 4 1 5 +0 13
14 Cittadella 9 4 1 4 -2 13
15 Parma 9 2 4 3 +1 10
16 Como 9 2 4 3 -1 10
17 Alessandria 10 2 2 6 -8 8
18 Crotone 9 1 4 4 -6 7
19 Vicenza 10 1 1 8 -12 4
20 Pordenone 9 0 2 7 -17 2

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
2,13
U ✓
3,20
B
3,43
Over/under goals
O1,5 ✓
O2,5
1,98
U2,5 ✓
1,82
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.