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Serie B
Pisa
T U U U T
1–0
Full-time
Benevento
U S S 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 Benevento
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,3
Over 2.5 Ø 25%
17%
33%
Both score Ø 50%
67%
33%
Average goals
2,2
2,2
Scored
1,0
1,2
Conceded
1,2
1,0
Goal diff per game
-0,2
+0,2
This season — Serie B · 12/12 matches
Win Ø 46%
50%
42%
Points per game
1,8
1,6
Over 2.5 Ø 33%
33%
33%
Both score Ø 55%
67%
42%
Average goals
2,5
2,5
Scored
1,6
1,5
Conceded
0,9
1,0
Goal diff per game
+0,7
+0,5
🔒 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

9 Shots 18
1 Shots on target 6
5 Corners 9
20 Free kicks against 15
2 Yellow cards 3
0 Red cards 0
The table before the match Pisa 3. · Benevento 11.
# Team K V U T +/− P
1 Brescia 13 8 3 2 +10 27
2 Lecce 13 6 6 1 +11 24
3 Pisa 12 6 4 2 +8 22
4 Frosinone 13 5 7 1 +8 22
5 Cremonese 13 6 4 3 +5 22
6 Reggina 13 6 4 3 +3 22
7 Ascoli 13 6 3 4 +2 21
8 Monza 13 5 6 2 +2 21
9 Perugia 13 5 5 3 +2 20
10 Cittadella 13 6 2 5 +0 20
11 Benevento 12 5 4 3 +6 19
12 Como 13 5 4 4 +3 19
13 Ternana 13 5 2 6 +1 17
14 Parma 13 4 5 4 -1 17
15 Cosenza 13 4 3 6 -6 15
16 Spal 13 3 5 5 +2 14
17 Alessandria 13 3 2 8 -10 11
18 Crotone 13 1 5 7 -11 8
19 Vicenza 13 1 1 11 -15 4
20 Pordenone 13 0 3 10 -20 3

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 ✓
2,65
U
3,30
B
2,56
Over/under goals
U1,5 ✓
O2,5
1,75
U2,5 ✓
2,05
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.