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

Pisa Brescia
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,0
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 58%
33%
83%
Average goals
3,0
2,7
Scored
1,5
1,5
Conceded
1,5
1,2
Goal diff per game
+0,0
+0,3
This season — Serie B · 32/32 matches
Win Ø 49%
50%
47%
Points per game
1,8
1,8
Over 2.5 Ø 33%
31%
34%
Both score Ø 52%
47%
56%
Average goals
2,2
2,5
Scored
1,3
1,5
Conceded
0,9
1,0
Goal diff per game
+0,4
+0,5
🔒 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

5 Shots 13
4 Shots on target 2
2 Corners 4
19 Free kicks against 13
1 Yellow cards 3
1 Red cards 0
The table before the match Pisa 3. · Brescia 6.
# Team K V U T +/− P
1 Cremonese 33 18 9 6 +19 63
2 Lecce 33 16 14 3 +26 62
3 Pisa 32 16 10 6 +12 58
4 Benevento 32 16 9 7 +25 57
5 Monza 32 16 9 7 +19 57
6 Brescia 32 15 12 5 +17 57
7 Ascoli 32 15 7 10 +5 52
8 Frosinone 33 13 12 8 +13 51
9 Perugia 32 11 14 7 +6 47
10 Parma 33 10 15 8 +7 45
11 Cittadella 32 11 11 10 +2 44
12 Como 33 10 14 9 -2 44
13 Ternana 33 12 8 13 -3 44
14 Reggina 33 12 8 13 -11 44
15 Spal 33 7 13 13 -11 34
16 Alessandria 33 6 8 19 -24 26
17 Cosenza 32 5 10 17 -23 25
18 Vicenza 32 6 6 20 -23 24
19 Crotone 32 3 11 18 -20 20
20 Pordenone 33 3 8 22 -34 17

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
2,57
U ✓
3,03
B
2,87
Over/under goals
U1,5 ✓
O2,5
2,21
U2,5 ✓
1,64
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.