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Serie B
Pordenone
U S U U S
0–0
Full-time
Empoli
S T S U 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

Pordenone Empoli
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,5
1,8
Over 2.5 Ø 50%
17%
83%
Both score Ø 59%
50%
67%
Average goals
2,2
3,3
Scored
1,2
2,0
Conceded
1,0
1,3
Goal diff per game
+0,2
+0,7
This season — Serie B · 9/9 matches
Win Ø 39%
22%
56%
Points per game
1,3
2,0
Over 2.5 Ø 45%
22%
67%
Both score Ø 56%
56%
56%
Average goals
2,3
2,8
Scored
1,2
1,8
Conceded
1,1
1,0
Goal diff per game
+0,1
+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: 0–0

13 Shots 20
3 Shots on target 7
13 Corners 3
19 Free kicks against 12
1 Yellow cards 2
0 Red cards 0
The table before the match Pordenone 10. · Empoli 6.
# Team K V U T +/− P
1 Salernitana 10 7 2 1 +9 23
2 Spal 10 6 3 1 +10 21
3 Lecce 10 5 4 1 +12 19
4 Frosinone 10 6 1 3 +2 19
5 Venezia 10 5 3 2 +7 18
6 Empoli 9 5 3 1 +7 18
7 Cittadella 9 4 2 3 +6 14
8 Chievo 9 4 2 3 +2 14
9 Monza 10 3 5 2 +0 14
10 Pordenone 9 2 6 1 +1 12
11 Reggiana 9 3 2 4 -5 11
12 Reggina 10 2 4 4 -3 10
13 Vicenza 9 1 6 2 -1 9
14 Brescia 9 2 3 4 -2 9
15 Cosenza 10 1 6 3 -2 9
16 Cremonese 9 1 4 4 -4 7
17 Pisa 9 1 4 4 -11 7
18 Pescara 10 2 1 7 -11 7
19 Ascoli 9 1 2 6 -7 5
20 Virtus Entella 10 0 5 5 -10 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
2,68
U ✓
3,11
B
2,61
Over/under goals
U1,5 ✓
O2,5
1,88
U2,5 ✓
1,89
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.