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

Pisa Perugia
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,5
1,3
Over 2.5 Ø 17%
0%
33%
Both score Ø 50%
50%
50%
Average goals
1,7
2,3
Scored
0,8
1,0
Conceded
0,8
1,3
Goal diff per game
+0,0
-0,3
This season — Serie B · 14/14 matches
Win Ø 47%
57%
36%
Points per game
2,0
1,5
Over 2.5 Ø 29%
29%
29%
Both score Ø 50%
57%
43%
Average goals
2,3
2,0
Scored
1,5
1,1
Conceded
0,8
0,9
Goal diff per game
+0,7
+0,1
🔒 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: 1–0

21 Shots 12
6 Shots on target 4
5 Corners 3
15 Free kicks against 20
3 Yellow cards 3
0 Red cards 1
The table before the match Pisa 1. · Perugia 11.
# Team K V U T +/− P
1 Pisa 14 8 4 2 +10 28
2 Brescia 14 8 3 3 +9 27
3 Lecce 14 6 7 1 +11 25
4 Frosinone 14 5 8 1 +8 23
5 Benevento 14 6 4 4 +9 22
6 Cremonese 14 6 4 4 +4 22
7 Ascoli 14 6 4 4 +2 22
8 Monza 14 5 7 2 +2 22
9 Reggina 14 6 4 4 -1 22
10 Ternana 15 6 3 6 +2 21
11 Perugia 14 5 6 3 +2 21
12 Cittadella 14 6 3 5 +0 21
13 Como 14 5 5 4 +3 20
14 Parma 14 4 6 4 -1 18
15 Spal 14 4 5 5 +3 17
16 Cosenza 14 4 3 7 -7 15
17 Alessandria 14 4 2 8 -9 14
18 Crotone 15 1 5 9 -13 8
19 Vicenza 14 2 1 11 -14 7
20 Pordenone 14 0 4 10 -20 4

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
2,34
U ✓
3,03
B
3,20
Over/under goals
O1,5 ✓
O2,5
2,18
U2,5 ✓
1,67
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.