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Serie B
Pisa
T U S T T
2–1
Full-time
Ascoli
T T 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 17%
17%
17%
Points per game
0,8
0,7
Over 2.5 Ø 58%
83%
33%
Both score Ø 67%
83%
50%
Average goals
4,3
2,0
Scored
1,5
0,7
Conceded
2,8
1,3
Goal diff per game
-1,3
-0,7
This season — Serie B · 9/9 matches
Win Ø 11%
11%
11%
Points per game
0,8
0,6
Over 2.5 Ø 50%
78%
22%
Both score Ø 67%
89%
44%
Average goals
4,1
1,9
Scored
1,4
0,6
Conceded
2,7
1,3
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: 0–0

17 Shots 11
6 Shots on target 6
2 Corners 3
10 Free kicks against 18
2 Yellow cards 4
0 Red cards 0
The table before the match Pisa 17. · Ascoli 19.
# Team K V U T +/− P
1 Salernitana 10 7 2 1 +9 23
2 Spal 10 6 3 1 +10 21
3 Lecce 10 5 4 1 +12 19
4 Empoli 10 5 4 1 +7 19
5 Frosinone 10 6 1 3 +2 19
6 Venezia 10 5 3 2 +7 18
7 Cittadella 9 4 2 3 +6 14
8 Chievo 9 4 2 3 +2 14
9 Monza 10 3 5 2 +0 14
10 Pordenone 10 2 7 1 +1 13
11 Reggiana 9 3 2 4 -5 11
12 Brescia 10 2 4 4 -2 10
13 Reggina 10 2 4 4 -3 10
14 Vicenza 9 1 6 2 -1 9
15 Cosenza 10 1 6 3 -2 9
16 Cremonese 10 1 5 4 -4 8
17 Pisa 9 1 4 4 -11 7
18 Pescara 10 2 1 7 -11 7
19 Ascoli 9 1 2 6 -7 5
20 Virtus Entella 10 0 5 5 -10 5

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 ✓
1,89
U
3,38
B
4,08
Over/under goals
O1,5 ✓
O2,5 ✓
1,97
U2,5
1,82
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.