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Serie B
Monza
U S T S S
1–2
Full-time
Pisa
T U U U 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

Monza Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,7
1,2
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
50%
50%
Average goals
3,2
2,0
Scored
1,8
1,0
Conceded
1,3
1,0
Goal diff per game
+0,5
+0,0
This season — Serie B · 23/23 matches
Win Ø 48%
48%
48%
Points per game
1,8
1,8
Over 2.5 Ø 35%
43%
26%
Both score Ø 55%
57%
52%
Average goals
2,6
2,1
Scored
1,5
1,3
Conceded
1,0
0,8
Goal diff per game
+0,5
+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: 1–1

12 Shots 19
2 Shots on target 5
9 Corners 9
11 Free kicks against 18
2 Yellow cards 4
0 Red cards 0
The table before the match Monza 5. · Pisa 4.
# Team K V U T +/− P
1 Cremonese 23 13 5 5 +16 44
2 Lecce 23 11 10 2 +17 43
3 Brescia 23 12 7 4 +13 43
4 Pisa 23 11 9 3 +12 42
5 Monza 23 11 8 4 +11 41
6 Frosinone 23 9 10 4 +12 37
7 Benevento 23 10 7 6 +11 37
8 Perugia 23 9 10 4 +7 37
9 Ascoli 23 10 6 7 +3 36
10 Cittadella 23 9 8 6 +2 35
11 Como 23 7 10 6 +2 31
12 Reggina 23 8 5 10 -10 29
13 Parma 23 6 10 7 +0 28
14 Ternana 23 7 7 9 -1 28
15 Alessandria 23 6 5 12 -9 23
16 Spal 23 5 8 10 -10 23
17 Cosenza 23 4 7 12 -17 19
18 Crotone 23 2 8 13 -14 14
19 Vicenza 23 3 4 16 -19 13
20 Pordenone 23 2 6 15 -26 12

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
2,01
U
3,20
B ✓
3,92
Over/under goals
O1,5 ✓
O2,5 ✓
2,12
U2,5
1,69
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.