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Serie B
Frosinone
U U U U T
4–0
Full-time
Spal
T S T S 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

Frosinone Spal
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,2
1,2
Over 2.5 Ø 50%
50%
50%
Both score Ø 75%
83%
67%
Average goals
3,0
2,8
Scored
1,7
1,2
Conceded
1,3
1,7
Goal diff per game
+0,3
-0,5
This season — Serie B · 17/17 matches
Win Ø 29%
29%
29%
Points per game
1,5
1,2
Over 2.5 Ø 44%
41%
47%
Both score Ø 62%
65%
59%
Average goals
2,4
2,6
Scored
1,4
1,3
Conceded
1,0
1,3
Goal diff per game
+0,4
+0,0
🔒 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: 3–0

12 Shots 12
6 Shots on target 3
9 Corners 5
14 Free kicks against 9
0 Yellow cards 2
0 Red cards 0
The table before the match Frosinone 10. · Spal 14.
# Team K V U T +/− P
1 Pisa 18 11 5 2 +14 38
2 Brescia 17 10 3 4 +10 33
3 Cremonese 18 9 5 4 +10 32
4 Lecce 17 8 7 2 +14 31
5 Benevento 17 9 4 4 +13 31
6 Monza 17 8 7 2 +8 31
7 Cittadella 17 8 4 5 +3 28
8 Perugia 17 6 8 3 +3 26
9 Ascoli 18 7 5 6 -2 26
10 Frosinone 17 5 10 2 +7 25
11 Como 18 6 7 5 +3 25
12 Reggina 18 6 5 7 -8 23
13 Ternana 17 6 4 7 +0 22
14 Spal 17 5 5 7 +0 20
15 Parma 17 4 8 5 -2 20
16 Alessandria 17 5 2 10 -8 17
17 Cosenza 18 4 4 10 -14 16
18 Crotone 18 2 5 11 -12 11
19 Pordenone 18 1 5 12 -22 8
20 Vicenza 17 2 1 14 -17 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 ✓
1,70
U
3,57
B
5,06
Over/under goals
O1,5 ✓
O2,5 ✓
2,04
U2,5
1,76
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.