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Serie B
Pisa
S T U U U
2–2
Full-time
Vicenza
U T 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

Pisa Vicenza
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,5
0,8
Over 2.5 Ø 34%
17%
50%
Both score Ø 42%
33%
50%
Average goals
1,5
2,5
Scored
0,8
1,0
Conceded
0,7
1,5
Goal diff per game
+0,2
-0,5
This season — Serie B · 22/22 matches
Win Ø 32%
50%
14%
Points per game
1,9
0,5
Over 2.5 Ø 37%
23%
50%
Both score Ø 50%
50%
50%
Average goals
2,0
2,8
Scored
1,3
1,0
Conceded
0,7
1,8
Goal diff per game
+0,5
-0,9
🔒 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: 1–2

28 Shots 8
9 Shots on target 2
13 Corners 7
15 Free kicks against 15
2 Yellow cards 4
0 Red cards 0
The table before the match Pisa 3. · Vicenza 19.
# Team K V U T +/− P
1 Lecce 22 11 9 2 +17 42
2 Cremonese 22 12 5 5 +14 41
3 Pisa 22 11 8 3 +12 41
4 Brescia 22 11 7 4 +12 40
5 Monza 22 10 8 4 +10 38
6 Benevento 22 10 7 5 +13 37
7 Frosinone 22 9 10 3 +13 37
8 Perugia 22 8 10 4 +6 34
9 Ascoli 22 9 6 7 +1 33
10 Cittadella 22 8 8 6 +1 32
11 Parma 22 6 10 6 +2 28
12 Como 22 6 10 6 +1 28
13 Ternana 22 7 7 8 +0 28
14 Reggina 22 7 5 10 -12 26
15 Spal 22 5 8 9 -8 23
16 Alessandria 22 6 4 12 -9 22
17 Cosenza 22 4 7 11 -16 19
18 Crotone 22 2 8 12 -13 14
19 Vicenza 22 3 3 16 -19 12
20 Pordenone 22 2 6 14 -25 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
1,84
U ✓
3,28
B
4,57
Over/under goals
O1,5 ✓
O2,5 ✓
2,03
U2,5
1,76
O3,5 ✓
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.