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

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 Cremonese
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,0
1,5
Over 2.5 Ø 42%
67%
17%
Both score Ø 42%
33%
50%
Average goals
2,7
1,5
Scored
1,3
0,8
Conceded
1,3
0,7
Goal diff per game
+0,0
+0,2
This season — Serie B · 18/17 matches
Win Ø 40%
50%
29%
Points per game
1,7
1,2
Over 2.5 Ø 40%
56%
24%
Both score Ø 52%
56%
47%
Average goals
2,7
1,9
Scored
1,4
0,8
Conceded
1,3
1,1
Goal diff per game
+0,2
-0,4
🔒 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

10 Shots 15
1 Shots on target 7
5 Corners 3
20 Free kicks against 18
2 Yellow cards 3
0 Red cards 0
The table before the match Pordenone 2. · Cremonese 15.
# Team K V U T +/− P
1 Benevento 18 13 4 1 +21 43
2 Pordenone 18 9 4 5 +3 31
3 Cittadella 18 8 5 5 +1 29
4 Crotone 18 8 4 6 +6 28
5 Ascoli 18 8 3 7 +5 27
6 Perugia 18 7 6 5 +0 27
7 Frosinone 18 7 5 6 +5 26
8 Pescara 19 7 5 7 +3 26
9 Salernitana 18 7 5 6 +3 26
10 Chievo 19 6 8 5 +2 26
11 Virtus Entella 18 7 5 6 +1 26
12 Pisa 18 6 5 7 +0 23
13 Empoli 18 5 7 6 -5 22
14 Spezia 17 5 6 6 +1 21
15 Cremonese 17 5 6 6 -6 21
16 Juve Stabia 18 6 3 9 -8 21
17 Cosenza 18 4 8 6 +1 20
18 Venezia 18 4 7 7 -5 19
19 Trapani 18 3 6 9 -14 15
20 Livorno 18 3 2 13 -14 11

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 ✓
2,20
U
3,01
B
3,51
Over/under goals
U1,5 ✓
O2,5
2,16
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.