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

Parma Brescia
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,3
2,2
Over 2.5 Ø 34%
50%
17%
Both score Ø 50%
67%
33%
Average goals
2,5
1,8
Scored
1,0
1,2
Conceded
1,5
0,7
Goal diff per game
-0,5
+0,5
This season — Serie B · 14/14 matches
Win Ø 43%
29%
57%
Points per game
1,3
1,9
Over 2.5 Ø 54%
57%
50%
Both score Ø 61%
64%
57%
Average goals
2,6
3,1
Scored
1,3
1,9
Conceded
1,4
1,2
Goal diff per game
-0,1
+0,6
🔒 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: 0–1

12 Shots 14
2 Shots on target 4
5 Corners 13
9 Free kicks against 21
1 Yellow cards 4
0 Red cards 0
The table before the match Parma 14. · Brescia 3.
# Team K V U T +/− P
1 Pisa 15 8 5 2 +10 29
2 Lecce 15 7 7 1 +13 28
3 Brescia 14 8 3 3 +9 27
4 Benevento 15 7 4 4 +10 25
5 Monza 15 6 7 2 +5 25
6 Ascoli 15 7 4 4 +3 25
7 Frosinone 15 5 9 1 +8 24
8 Cremonese 15 6 5 4 +4 23
9 Perugia 15 5 7 3 +2 22
10 Reggina 15 6 4 5 -2 22
11 Ternana 15 6 3 6 +2 21
12 Cittadella 14 6 3 5 +0 21
13 Como 14 5 5 4 +3 20
14 Parma 14 4 6 4 -1 18
15 Spal 15 4 5 6 +1 17
16 Cosenza 15 4 3 8 -10 15
17 Alessandria 15 4 2 9 -11 14
18 Crotone 15 1 5 9 -13 8
19 Vicenza 15 2 1 12 -15 7
20 Pordenone 15 1 4 10 -18 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
2,22
U
3,19
B ✓
3,25
Over/under goals
U1,5 ✓
O2,5
2,04
U2,5 ✓
1,76
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.