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Serie B
Pisa
S U S T S
1–3
Full-time
Cosenza
U T U U T

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 Cosenza
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,7
1,0
Over 2.5 Ø 59%
50%
67%
Both score Ø 67%
50%
83%
Average goals
3,0
3,3
Scored
1,5
1,7
Conceded
1,5
1,7
Goal diff per game
+0,0
+0,0
This season — Serie B · 16/16 matches
Win Ø 26%
38%
13%
Points per game
1,4
0,9
Over 2.5 Ø 41%
44%
38%
Both score Ø 63%
56%
69%
Average goals
2,7
2,4
Scored
1,4
1,1
Conceded
1,3
1,3
Goal diff per game
+0,2
-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: 0–3

10 Shots 12
3 Shots on target 9
1 Corners 8
12 Free kicks against 18
5 Yellow cards 3
1 Red cards 0
The table before the match Pisa 10. · Cosenza 18.
# Team K V U T +/− P
1 Benevento 17 12 4 1 +20 40
2 Pordenone 16 8 4 4 +6 28
3 Frosinone 17 7 5 5 +6 26
4 Perugia 17 7 5 5 +0 26
5 Cittadella 17 7 5 5 +0 26
6 Crotone 17 7 4 6 +5 25
7 Chievo 17 6 7 4 +3 25
8 Virtus Entella 17 7 4 6 +1 25
9 Ascoli 16 7 3 6 +5 24
10 Pisa 16 6 5 5 +3 23
11 Salernitana 17 6 5 6 -1 23
12 Empoli 17 5 7 5 -4 22
13 Pescara 16 6 3 7 +1 21
14 Spezia 16 5 5 6 +1 20
15 Cremonese 16 5 5 6 -6 20
16 Juve Stabia 17 6 2 9 -8 20
17 Venezia 17 4 7 6 -4 19
18 Cosenza 16 2 8 6 -2 14
19 Trapani 16 3 4 9 -14 13
20 Livorno 17 3 2 12 -12 11

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
2,32
U
3,00
B ✓
3,26
Over/under goals
O1,5 ✓
O2,5 ✓
2,20
U2,5
1,65
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.