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

Pordenone Pisa
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,0
1,5
Over 2.5 Ø 42%
33%
50%
Both score Ø 42%
33%
50%
Average goals
2,5
2,2
Scored
0,3
1,2
Conceded
2,2
1,0
Goal diff per game
-1,8
+0,2
This season — Serie B · 27/27 matches
Win Ø 28%
7%
48%
Points per game
0,4
1,8
Over 2.5 Ø 36%
41%
30%
Both score Ø 50%
48%
52%
Average goals
2,6
2,1
Scored
0,7
1,3
Conceded
1,9
0,8
Goal diff per game
-1,2
+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: 0–1

8 Shots 17
3 Shots on target 6
3 Corners 3
21 Free kicks against 19
4 Yellow cards 3
0 Red cards 0
The table before the match Pordenone 20. · Pisa 4.
# Team K V U T +/− P
1 Lecce 27 14 10 3 +22 52
2 Brescia 27 14 9 4 +16 51
3 Cremonese 27 14 8 5 +17 50
4 Pisa 27 13 10 4 +13 49
5 Benevento 27 13 8 6 +18 47
6 Monza 27 12 9 6 +12 45
7 Frosinone 27 11 11 5 +13 44
8 Cittadella 27 11 9 7 +5 42
9 Ascoli 27 12 6 9 +3 42
10 Perugia 27 10 11 6 +6 41
11 Reggina 27 11 5 11 -8 38
12 Como 27 8 12 7 -2 36
13 Ternana 27 9 7 11 -4 34
14 Parma 27 7 12 8 +3 33
15 Spal 27 6 10 11 -10 28
16 Alessandria 27 6 6 15 -14 24
17 Cosenza 27 5 8 14 -18 23
18 Vicenza 27 4 6 17 -20 18
19 Crotone 27 2 9 16 -19 15
20 Pordenone 27 2 6 19 -33 12

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
3,96
U
3,25
B ✓
1,98
Over/under goals
U1,5 ✓
O2,5
2,14
U2,5 ✓
1,68
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.