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Serie B
Pordenone
U S T U T
0–1
Full-time
Lecce
U U S 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

Pordenone Lecce
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,8
1,8
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
67%
33%
Average goals
2,8
2,8
Scored
1,2
2,0
Conceded
1,7
0,8
Goal diff per game
-0,5
+1,2
This season — Serie B · 18/17 matches
Win Ø 27%
6%
47%
Points per game
0,4
1,8
Over 2.5 Ø 52%
50%
53%
Both score Ø 52%
56%
47%
Average goals
2,9
2,6
Scored
0,8
1,7
Conceded
2,1
0,9
Goal diff per game
-1,2
+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: 0–1

5 Shots 15
1 Shots on target 3
4 Corners 4
20 Free kicks against 19
5 Yellow cards 4
1 Red cards 0
The table before the match Pordenone 19. · Lecce 5.
# Team K V U T +/− P
1 Pisa 19 11 5 3 +12 38
2 Brescia 19 11 4 4 +12 37
3 Cremonese 19 10 5 4 +12 35
4 Benevento 18 10 4 4 +15 34
5 Lecce 17 8 7 2 +14 31
6 Frosinone 19 7 10 2 +13 31
7 Monza 18 8 7 3 +6 31
8 Cittadella 18 8 5 5 +3 29
9 Ascoli 19 8 5 6 +0 29
10 Perugia 18 6 9 3 +3 27
11 Como 19 6 7 6 +1 25
12 Parma 18 5 8 5 +0 23
13 Ternana 19 6 5 8 -2 23
14 Reggina 19 6 5 8 -10 23
15 Spal 18 5 5 8 -4 20
16 Alessandria 18 5 2 11 -10 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
4,23
U
3,43
B ✓
1,84
Over/under goals
U1,5 ✓
O2,5
1,93
U2,5 ✓
1,84
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.