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

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Pordenone Cosenza
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,8
0,2
Over 2.5 Ø 42%
50%
33%
Both score Ø 50%
50%
50%
Average goals
2,5
2,5
Scored
1,2
0,5
Conceded
1,3
2,0
Goal diff per game
-0,2
-1,5
This season — Serie B · 16/16 matches
Win Ø 16%
6%
25%
Points per game
0,4
0,9
Over 2.5 Ø 44%
50%
38%
Both score Ø 50%
50%
50%
Average goals
2,8
2,5
Scored
0,8
0,9
Conceded
2,0
1,6
Goal diff per game
-1,2
-0,8
🔒 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 11
4 Shots on target 3
2 Corners 6
22 Free kicks against 18
6 Yellow cards 5
1 Red cards 0
The table before the match Pordenone 20. · Cosenza 16.
# Team K V U T +/− P
1 Pisa 16 9 5 2 +11 32
2 Lecce 16 8 7 1 +15 31
3 Benevento 17 9 4 4 +13 31
4 Brescia 16 9 3 4 +8 30
5 Cremonese 17 8 5 4 +7 29
6 Monza 16 7 7 2 +7 28
7 Ascoli 16 7 5 4 +3 26
8 Frosinone 16 5 10 1 +8 25
9 Perugia 16 6 7 3 +3 25
10 Cittadella 16 7 4 5 +1 25
11 Ternana 17 6 4 7 +0 22
12 Reggina 16 6 4 6 -4 22
13 Como 16 5 6 5 +2 21
14 Spal 16 5 5 6 +2 20
15 Parma 16 4 7 5 -2 19
16 Cosenza 16 4 3 9 -12 15
17 Alessandria 16 4 2 10 -12 14
18 Crotone 17 1 5 11 -15 8
19 Vicenza 16 2 1 13 -16 7
20 Pordenone 16 1 4 11 -19 7

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
2,21
U ✓
3,15
B
3,37
Over/under goals
O1,5 ✓
O2,5
2,12
U2,5 ✓
1,71
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.