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Serie B
Pisa
S U S S S
1–3
Full-time
Frosinone
U U U T 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

Pisa Frosinone
Last 6 — all competitions · 6/6 matches
Win Ø 50%
83%
17%
Points per game
2,7
1,2
Over 2.5 Ø 25%
0%
50%
Both score Ø 42%
17%
67%
Average goals
1,3
2,8
Scored
1,2
1,7
Conceded
0,2
1,2
Goal diff per game
+1,0
+0,5
This season — Serie B · 18/18 matches
Win Ø 47%
61%
33%
Points per game
2,1
1,6
Over 2.5 Ø 33%
22%
44%
Both score Ø 56%
50%
61%
Average goals
2,1
2,5
Scored
1,4
1,6
Conceded
0,7
0,9
Goal diff per game
+0,8
+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: 1–0

8 Shots 16
2 Shots on target 7
3 Corners 8
12 Free kicks against 18
3 Yellow cards 5
0 Red cards 0
The table before the match Pisa 1. · Frosinone 9.
# Team K V U T +/− P
1 Pisa 18 11 5 2 +14 38
2 Brescia 19 11 4 4 +12 37
3 Cremonese 19 10 5 4 +12 35
4 Benevento 18 10 4 4 +15 34
5 Lecce 17 8 7 2 +14 31
6 Monza 18 8 7 3 +6 31
7 Cittadella 18 8 5 5 +3 29
8 Ascoli 19 8 5 6 +0 29
9 Frosinone 18 6 10 2 +11 28
10 Perugia 18 6 9 3 +3 27
11 Como 19 6 7 6 +1 25
12 Parma 18 5 8 5 +0 23
13 Ternana 19 6 5 8 -2 23
14 Reggina 19 6 5 8 -10 23
15 Spal 18 5 5 8 -4 20
16 Alessandria 18 5 2 11 -10 17
17 Cosenza 18 4 4 10 -14 16
18 Crotone 18 2 5 11 -12 11
19 Pordenone 18 1 5 12 -22 8
20 Vicenza 17 2 1 14 -17 7

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
2,48
U
3,13
B ✓
2,90
Over/under goals
O1,5 ✓
O2,5 ✓
2,01
U2,5
1,78
O3,5 ✓
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.