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Serie B
Vicenza
S U T T S
0–0
Full-time
Frosinone
S U T U 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

Vicenza Frosinone
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
1,0
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
50%
67%
Average goals
2,5
2,2
Scored
1,2
1,0
Conceded
1,3
1,2
Goal diff per game
-0,2
-0,2
This season — Serie B · 16/16 matches
Win Ø 35%
25%
44%
Points per game
1,2
1,6
Over 2.5 Ø 41%
50%
31%
Both score Ø 54%
69%
38%
Average goals
2,9
2,1
Scored
1,4
1,1
Conceded
1,5
1,0
Goal diff per game
-0,1
+0,1
🔒 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

11 Shots 6
3 Shots on target 0
3 Corners 1
10 Free kicks against 14
2 Yellow cards 1
0 Red cards 0
The table before the match Vicenza 13. · Frosinone 9.
# Team K V U T +/− P
1 Empoli 17 9 7 1 +15 34
2 Salernitana 17 9 4 4 +4 31
3 Cittadella 16 9 3 4 +15 30
4 Monza 17 8 6 3 +13 30
5 Spal 17 8 5 4 +7 29
6 Chievo 16 7 6 3 +8 27
7 Lecce 17 6 8 3 +9 26
8 Venezia 17 6 7 4 +5 25
9 Frosinone 16 7 4 5 +1 25
10 Pordenone 17 5 9 3 +5 24
11 Brescia 17 5 6 6 -2 21
12 Pisa 16 4 8 4 -6 20
13 Vicenza 16 4 7 5 -1 19
14 Reggina 17 4 5 8 -8 17
15 Pescara 17 4 4 9 -13 16
16 Cosenza 17 2 9 6 -3 15
17 Cremonese 17 3 6 8 -8 15
18 Reggiana 17 4 3 10 -14 15
19 Virtus Entella 18 3 5 10 -16 14
20 Ascoli 17 3 4 10 -11 13

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
2,51
U ✓
2,96
B
3,01
Over/under goals
U1,5 ✓
O2,5
2,18
U2,5 ✓
1,67
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.