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

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Brescia Pordenone
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,7
0,3
Over 2.5 Ø 50%
33%
67%
Both score Ø 67%
50%
83%
Average goals
2,7
3,5
Scored
1,3
1,2
Conceded
1,3
2,3
Goal diff per game
+0,0
-1,2
This season — Serie B · 11/11 matches
Win Ø 28%
55%
0%
Points per game
1,9
0,3
Over 2.5 Ø 55%
55%
55%
Both score Ø 60%
64%
55%
Average goals
3,3
3,1
Scored
2,0
0,7
Conceded
1,3
2,4
Goal diff per game
+0,7
-1,6
🔒 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: 0–0

11 Shots 10
4 Shots on target 2
3 Corners 10
24 Free kicks against 15
3 Yellow cards 3
0 Red cards 0
The table before the match Brescia 3. · Pordenone 20.
# Team K V U T +/− P
1 Pisa 11 6 4 1 +10 22
2 Reggina 12 6 4 2 +4 22
3 Brescia 11 6 3 2 +8 21
4 Lecce 11 5 5 1 +7 20
5 Benevento 11 5 4 2 +9 19
6 Como 12 5 4 3 +4 19
7 Cremonese 12 5 4 3 +4 19
8 Frosinone 11 4 6 1 +5 18
9 Ascoli 12 5 3 4 +1 18
10 Monza 11 4 5 2 +1 17
11 Perugia 12 4 5 3 +0 17
12 Parma 11 4 4 3 +3 16
13 Ternana 12 5 1 6 +1 16
14 Cittadella 11 5 1 5 -2 16
15 Spal 12 3 5 4 +3 14
16 Cosenza 12 4 2 6 -6 14
17 Alessandria 12 2 2 8 -11 8
18 Crotone 11 1 4 6 -9 7
19 Vicenza 12 1 1 10 -14 4
20 Pordenone 11 0 3 8 -18 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 ✓
1,59
U
3,95
B
5,42
Over/under goals
U1,5 ✓
O2,5
1,73
U2,5 ✓
2,09
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.