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Serie B
Pisa
T S S U S
1–0
Full-time
Lecce
S U U 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

Pisa Lecce
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,8
2,3
Over 2.5 Ø 34%
0%
67%
Both score Ø 42%
33%
50%
Average goals
1,5
3,3
Scored
0,8
2,5
Conceded
0,7
0,8
Goal diff per game
+0,2
+1,7
This season — Serie B · 16/16 matches
Win Ø 53%
56%
50%
Points per game
2,0
1,9
Over 2.5 Ø 41%
25%
56%
Both score Ø 53%
56%
50%
Average goals
2,2
2,7
Scored
1,4
1,8
Conceded
0,8
0,9
Goal diff per game
+0,7
+0,9
🔒 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

8 Shots 13
2 Shots on target 6
3 Corners 11
15 Free kicks against 16
3 Yellow cards 4
0 Red cards 0
The table before the match Pisa 2. · Lecce 3.
# Team K V U T +/− P
1 Brescia 17 10 3 4 +10 33
2 Pisa 16 9 5 2 +11 32
3 Lecce 16 8 7 1 +15 31
4 Benevento 17 9 4 4 +13 31
5 Monza 17 8 7 2 +8 31
6 Cremonese 17 8 5 4 +7 29
7 Cittadella 17 8 4 5 +3 28
8 Ascoli 17 7 5 5 +1 26
9 Frosinone 17 5 10 2 +7 25
10 Perugia 16 6 7 3 +3 25
11 Ternana 17 6 4 7 +0 22
12 Reggina 16 6 4 6 -4 22
13 Como 16 5 6 5 +2 21
14 Spal 17 5 5 7 +0 20
15 Parma 16 4 7 5 -2 19
16 Cosenza 17 4 4 9 -12 16
17 Alessandria 16 4 2 10 -12 14
18 Crotone 17 1 5 11 -15 8
19 Pordenone 17 1 5 11 -19 8
20 Vicenza 16 2 1 13 -16 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 ✓
2,92
U
3,11
B
2,48
Over/under goals
U1,5 ✓
O2,5
2,06
U2,5 ✓
1,75
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.