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Serie B
Ascoli
T S T U S
2–0
Full-time
Pisa
U T S S 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

Ascoli Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,7
2,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
67%
33%
Average goals
2,8
2,2
Scored
1,5
1,5
Conceded
1,3
0,7
Goal diff per game
+0,2
+0,8
This season — Serie B · 29/29 matches
Win Ø 49%
45%
52%
Points per game
1,6
1,9
Over 2.5 Ø 40%
48%
31%
Both score Ø 55%
62%
48%
Average goals
2,7
2,1
Scored
1,4
1,3
Conceded
1,3
0,8
Goal diff per game
+0,1
+0,6
🔒 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: 2–0

14 Shots 10
5 Shots on target 3
6 Corners 3
17 Free kicks against 13
1 Yellow cards 2
0 Red cards 0
The table before the match Ascoli 8. · Pisa 2.
# Team K V U T +/− P
1 Lecce 30 14 13 3 +22 55
2 Pisa 29 15 10 4 +17 55
3 Monza 30 15 9 6 +20 54
4 Brescia 30 14 11 5 +15 53
5 Cremonese 29 15 8 6 +15 53
6 Benevento 29 14 9 6 +20 51
7 Frosinone 30 12 12 6 +14 48
8 Ascoli 29 13 7 9 +4 46
9 Perugia 29 11 12 6 +7 45
10 Cittadella 30 11 11 8 +4 44
11 Reggina 30 11 7 12 -9 40
12 Parma 30 8 14 8 +4 38
13 Ternana 30 10 8 12 -4 38
14 Como 30 8 14 8 -4 38
15 Spal 29 7 10 12 -9 31
16 Alessandria 30 6 7 17 -20 25
17 Cosenza 29 5 9 15 -20 24
18 Vicenza 30 5 6 19 -23 21
19 Crotone 30 3 10 17 -19 19
20 Pordenone 29 2 7 20 -34 13

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 ✓
2,90
U
2,99
B
2,57
Over/under goals
O1,5 ✓
O2,5
2,25
U2,5 ✓
1,62
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.