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Serie B
Brescia
S U S S S
0–1
Full-time
Pisa
U U U 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

Brescia Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,2
1,0
Over 2.5 Ø 17%
17%
17%
Both score Ø 50%
33%
67%
Average goals
1,8
2,0
Scored
1,2
0,8
Conceded
0,7
1,2
Goal diff per game
+0,5
-0,3
This season — Serie B · 13/13 matches
Win Ø 58%
62%
54%
Points per game
2,1
1,9
Over 2.5 Ø 43%
54%
31%
Both score Ø 62%
62%
62%
Average goals
3,2
2,4
Scored
2,0
1,5
Conceded
1,2
0,8
Goal diff per game
+0,8
+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: 0–0

4 Shots 16
1 Shots on target 4
2 Corners 7
15 Free kicks against 13
5 Yellow cards 5
0 Red cards 0
The table before the match Brescia 1. · Pisa 3.
# Team K V U T +/− P
1 Brescia 13 8 3 2 +10 27
2 Lecce 14 6 7 1 +11 25
3 Pisa 13 7 4 2 +9 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 Perugia 13 5 5 3 +2 20
11 Cittadella 13 6 2 5 +0 20
12 Como 13 5 4 4 +3 19
13 Ternana 14 5 3 6 +1 18
14 Spal 14 4 5 5 +3 17
15 Parma 13 4 5 4 -1 17
16 Cosenza 14 4 3 7 -7 15
17 Alessandria 14 4 2 8 -9 14
18 Crotone 14 1 5 8 -12 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
2,03
U
3,35
B ✓
3,63
Over/under goals
U1,5 ✓
O2,5
1,96
U2,5 ✓
1,84
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.