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Serie B
Pisa
U S T U U
1–1
Full-time
Ascoli
T U U T T

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

Pisa Ascoli
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,5
0,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 83%
83%
83%
Average goals
2,3
3,2
Scored
1,3
1,5
Conceded
1,0
1,7
Goal diff per game
+0,3
-0,2
This season — Serie B · 10/10 matches
Win Ø 50%
60%
40%
Points per game
2,1
1,4
Over 2.5 Ø 45%
40%
50%
Both score Ø 65%
70%
60%
Average goals
2,6
2,8
Scored
1,8
1,4
Conceded
0,8
1,4
Goal diff per game
+1,0
+0,0
🔒 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: 1–1

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

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
1,85
U ✓
3,46
B
4,14
Over/under goals
O1,5 ✓
O2,5
1,90
U2,5 ✓
1,87
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.