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

Ascoli Pordenone
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,7
0,3
Over 2.5 Ø 34%
50%
17%
Both score Ø 59%
67%
50%
Average goals
2,7
1,7
Scored
1,3
0,5
Conceded
1,3
1,2
Goal diff per game
+0,0
-0,7
This season — Serie B · 31/31 matches
Win Ø 26%
45%
6%
Points per game
1,6
0,5
Over 2.5 Ø 42%
45%
39%
Both score Ø 55%
58%
52%
Average goals
2,6
2,5
Scored
1,4
0,7
Conceded
1,3
1,8
Goal diff per game
+0,1
-1,1
🔒 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

14 Shots 8
3 Shots on target 3
3 Corners 7
18 Free kicks against 11
1 Yellow cards 2
0 Red cards 0
The table before the match Ascoli 8. · Pordenone 20.
# Team K V U T +/− P
1 Cremonese 31 17 8 6 +18 59
2 Pisa 31 16 10 5 +16 58
3 Monza 31 16 9 6 +21 57
4 Lecce 31 14 14 3 +22 56
5 Brescia 31 14 12 5 +15 54
6 Benevento 30 14 9 7 +18 51
7 Frosinone 31 13 12 6 +16 51
8 Ascoli 31 14 7 10 +4 49
9 Perugia 31 11 13 7 +6 46
10 Cittadella 31 11 11 9 +3 44
11 Reggina 31 12 7 12 -8 43
12 Ternana 31 11 8 12 -1 41
13 Como 31 9 14 8 -3 41
14 Parma 31 8 15 8 +4 39
15 Spal 31 7 11 13 -11 32
16 Alessandria 31 6 7 18 -23 25
17 Vicenza 31 6 6 19 -21 24
18 Cosenza 30 5 9 16 -21 24
19 Crotone 31 3 10 18 -20 19
20 Pordenone 31 2 8 21 -35 14

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 ✓
1,73
U
3,49
B
4,98
Over/under goals
U1,5 ✓
O2,5
2,11
U2,5 ✓
1,70
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.