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Serie B
Frosinone
T T U S T
1–0
Full-time
Cosenza
U T T U S

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

Frosinone Cosenza
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
1,0
Over 2.5 Ø 75%
83%
67%
Both score Ø 50%
33%
67%
Average goals
3,0
2,5
Scored
1,3
1,2
Conceded
1,7
1,3
Goal diff per game
-0,3
-0,2
This season — Serie B · 26/26 matches
Win Ø 29%
38%
19%
Points per game
1,6
0,9
Over 2.5 Ø 48%
54%
42%
Both score Ø 56%
54%
58%
Average goals
2,6
2,5
Scored
1,5
0,9
Conceded
1,1
1,6
Goal diff per game
+0,5
-0,7
🔒 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: 0–0

16 Shots 6
3 Shots on target 3
4 Corners 4
14 Free kicks against 18
2 Yellow cards 4
0 Red cards 0
The table before the match Frosinone 8. · Cosenza 17.
# Team K V U T +/− P
1 Brescia 27 14 9 4 +16 51
2 Cremonese 27 14 8 5 +17 50
3 Lecce 26 13 10 3 +20 49
4 Benevento 27 13 8 6 +18 47
5 Pisa 26 12 10 4 +12 46
6 Monza 26 12 8 6 +12 44
7 Ascoli 26 12 6 8 +5 42
8 Frosinone 26 10 11 5 +12 41
9 Perugia 27 10 11 6 +6 41
10 Cittadella 26 11 8 7 +5 41
11 Como 27 8 12 7 -2 36
12 Reggina 26 10 5 11 -10 35
13 Ternana 27 9 7 11 -4 34
14 Parma 26 7 11 8 +3 32
15 Spal 26 6 9 11 -10 27
16 Alessandria 27 6 6 15 -14 24
17 Cosenza 26 5 8 13 -17 23
18 Vicenza 26 4 6 16 -18 18
19 Crotone 26 2 9 15 -18 15
20 Pordenone 27 2 6 19 -33 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 ✓
1,43
U
4,27
B
7,62
Over/under goals
U1,5 ✓
O2,5
1,89
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.