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

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 Ascoli
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,3
1,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 75%
67%
83%
Average goals
3,0
2,5
Scored
1,0
1,2
Conceded
2,0
1,3
Goal diff per game
-1,0
-0,2
This season — Serie B · 12/12 matches
Win Ø 21%
0%
42%
Points per game
0,3
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 59%
50%
67%
Average goals
2,9
2,8
Scored
0,7
1,4
Conceded
2,3
1,3
Goal diff per game
-1,6
+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: 0–1

9 Shots 13
2 Shots on target 6
5 Corners 6
14 Free kicks against 19
3 Yellow cards 3
0 Red cards 0
The table before the match Pordenone 20. · Ascoli 10.
# Team K V U T +/− P
1 Brescia 12 7 3 2 +9 24
2 Lecce 12 6 5 1 +11 23
3 Pisa 12 6 4 2 +8 22
4 Reggina 12 6 4 2 +4 22
5 Frosinone 12 5 6 1 +8 21
6 Benevento 12 5 4 3 +6 19
7 Como 12 5 4 3 +4 19
8 Cremonese 12 5 4 3 +4 19
9 Cittadella 12 6 1 5 +0 19
10 Ascoli 12 5 3 4 +1 18
11 Monza 12 4 6 2 +1 18
12 Perugia 12 4 5 3 +0 17
13 Ternana 12 5 1 6 +1 16
14 Parma 12 4 4 4 -1 16
15 Spal 12 3 5 4 +3 14
16 Cosenza 12 4 2 6 -6 14
17 Crotone 12 1 5 6 -9 8
18 Alessandria 12 2 2 8 -11 8
19 Vicenza 12 1 1 10 -14 4
20 Pordenone 12 0 3 9 -19 3

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
2,69
U
3,20
B ✓
2,62
Over/under goals
U1,5 ✓
O2,5
2,12
U2,5 ✓
1,72
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.