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Serie B
Venezia
U S U T S
0–0
Full-time
Spal
S S S T U

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

Venezia Spal
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,8
2,2
Over 2.5 Ø 42%
67%
17%
Both score Ø 34%
67%
0%
Average goals
3,0
1,8
Scored
1,7
1,5
Conceded
1,3
0,3
Goal diff per game
+0,3
+1,2
This season — Serie B · 12/12 matches
Win Ø 50%
50%
50%
Points per game
1,8
1,8
Over 2.5 Ø 42%
50%
33%
Both score Ø 38%
42%
33%
Average goals
2,5
2,3
Scored
1,5
1,5
Conceded
1,0
0,8
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

11 Shots 9
5 Shots on target 3
4 Corners 4
13 Free kicks against 11
6 Yellow cards 3
0 Red cards 0
The table before the match Venezia 7. · Spal 5.
# Team K V U T +/− P
1 Empoli 13 7 5 1 +11 26
2 Salernitana 13 7 4 2 +7 25
3 Frosinone 13 7 3 3 +3 24
4 Cittadella 12 7 2 3 +13 23
5 Spal 12 6 4 2 +8 22
6 Lecce 13 5 6 2 +9 21
7 Venezia 12 6 3 3 +6 21
8 Monza 13 5 5 3 +6 20
9 Chievo 12 5 4 3 +5 19
10 Brescia 13 4 5 4 +2 17
11 Pordenone 13 3 8 2 +1 17
12 Pisa 13 4 5 4 -6 17
13 Vicenza 12 3 6 3 -2 15
14 Reggiana 12 4 2 6 -7 14
15 Cosenza 13 2 6 5 -1 12
16 Cremonese 13 2 6 5 -4 12
17 Pescara 13 3 2 8 -11 11
18 Reggina 13 2 4 7 -9 10
19 Ascoli 13 1 3 9 -12 6
20 Virtus Entella 13 0 5 8 -19 5

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
2,34
U ✓
3,13
B
3,09
Over/under goals
U1,5 ✓
O2,5
2,02
U2,5 ✓
1,77
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.