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

Cosenza Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,8
1,8
Over 2.5 Ø 42%
17%
67%
Both score Ø 25%
17%
33%
Average goals
1,3
2,5
Scored
0,7
1,3
Conceded
0,7
1,2
Goal diff per game
+0,0
+0,2
This season — Serie B · 14/14 matches
Win Ø 22%
14%
29%
Points per game
0,9
1,3
Over 2.5 Ø 43%
14%
71%
Both score Ø 54%
36%
71%
Average goals
1,5
3,4
Scored
0,7
1,5
Conceded
0,8
1,9
Goal diff per game
-0,1
-0,4
🔒 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: 1–0

13 Shots 24
3 Shots on target 8
5 Corners 7
17 Free kicks against 13
2 Yellow cards 1
0 Red cards 0
The table before the match Cosenza 17. · Pisa 11.
# Team K V U T +/− P
1 Salernitana 14 8 4 2 +8 28
2 Empoli 14 7 6 1 +11 27
3 Cittadella 13 8 2 3 +14 26
4 Spal 14 7 5 2 +9 26
5 Frosinone 14 7 3 4 +2 24
6 Monza 14 6 5 3 +8 23
7 Venezia 14 6 5 3 +6 23
8 Lecce 14 5 6 3 +8 21
9 Chievo 13 5 5 3 +5 20
10 Brescia 14 4 6 4 +2 18
11 Pisa 14 4 6 4 -6 18
12 Pordenone 14 3 8 3 +0 17
13 Vicenza 13 3 7 3 -2 16
14 Cremonese 14 3 6 5 -3 15
15 Reggiana 14 4 3 7 -8 15
16 Reggina 15 3 5 7 -8 14
17 Cosenza 14 2 7 5 -1 13
18 Pescara 14 3 3 8 -11 12
19 Ascoli 14 1 3 10 -14 6
20 Virtus Entella 14 0 5 9 -20 5

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
1,97
U ✓
3,27
B
3,87
Over/under goals
O1,5 ✓
O2,5
1,90
U2,5 ✓
1,88
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.