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Serie B
Frosinone
U T U S U
2–1
Full-time
Crotone
T U S T 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

Frosinone Crotone
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,2
0,7
Over 2.5 Ø 42%
33%
50%
Both score Ø 50%
67%
33%
Average goals
2,0
2,3
Scored
1,0
0,7
Conceded
1,0
1,7
Goal diff per game
+0,0
-1,0
This season — Serie B · 10/10 matches
Win Ø 20%
30%
10%
Points per game
1,5
0,7
Over 2.5 Ø 45%
30%
60%
Both score Ø 55%
50%
60%
Average goals
2,0
3,0
Scored
1,2
1,1
Conceded
0,8
1,9
Goal diff per game
+0,4
-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: 1–1

11 Shots 14
3 Shots on target 7
7 Corners 4
12 Free kicks against 14
4 Yellow cards 2
0 Red cards 0
The table before the match Frosinone 7. · Crotone 18.
# Team K V U T +/− P
1 Pisa 10 6 3 1 +10 21
2 Brescia 11 6 3 2 +8 21
3 Benevento 11 5 4 2 +9 19
4 Reggina 10 5 4 1 +4 19
5 Lecce 10 4 5 1 +5 17
6 Cremonese 10 5 2 3 +4 17
7 Frosinone 10 3 6 1 +4 15
8 Perugia 10 3 5 2 +2 14
9 Ascoli 10 4 2 4 +0 14
10 Monza 10 3 5 2 +0 14
11 Cosenza 10 4 2 4 -3 14
12 Spal 10 3 4 3 +4 13
13 Parma 10 3 4 3 +2 13
14 Ternana 10 4 1 5 +0 13
15 Como 10 3 4 3 +0 13
16 Cittadella 10 4 1 5 -3 13
17 Alessandria 10 2 2 6 -8 8
18 Crotone 10 1 4 5 -8 7
19 Vicenza 10 1 1 8 -12 4
20 Pordenone 10 0 2 8 -18 2

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 ✓
2,08
U
3,25
B
3,51
Over/under goals
O1,5 ✓
O2,5 ✓
1,88
U2,5
1,90
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.