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Serie B
Brescia
S T S T S
1–1
Full-time
Cittadella
U 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

Brescia Cittadella
Last 6 — all competitions · 6/6 matches
Win Ø 59%
67%
50%
Points per game
2,0
2,0
Over 2.5 Ø 17%
17%
17%
Both score Ø 34%
17%
50%
Average goals
2,0
2,2
Scored
1,2
1,5
Conceded
0,8
0,7
Goal diff per game
+0,3
+0,8
This season — Serie B · 17/17 matches
Win Ø 53%
59%
47%
Points per game
1,9
1,6
Over 2.5 Ø 35%
41%
29%
Both score Ø 44%
47%
41%
Average goals
2,8
2,2
Scored
1,7
1,2
Conceded
1,1
1,0
Goal diff per game
+0,6
+0,2
🔒 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

12 Shots 17
5 Shots on target 3
4 Corners 6
11 Free kicks against 18
2 Yellow cards 4
0 Red cards 0
The table before the match Brescia 2. · Cittadella 8.
# Team K V U T +/− P
1 Pisa 18 11 5 2 +14 38
2 Brescia 17 10 3 4 +10 33
3 Cremonese 18 9 5 4 +10 32
4 Lecce 17 8 7 2 +14 31
5 Benevento 17 9 4 4 +13 31
6 Monza 17 8 7 2 +8 31
7 Frosinone 18 6 10 2 +11 28
8 Cittadella 17 8 4 5 +3 28
9 Perugia 17 6 8 3 +3 26
10 Ascoli 18 7 5 6 -2 26
11 Como 18 6 7 5 +3 25
12 Reggina 18 6 5 7 -8 23
13 Ternana 17 6 4 7 +0 22
14 Parma 17 4 8 5 -2 20
15 Spal 18 5 5 8 -4 20
16 Alessandria 17 5 2 10 -8 17
17 Cosenza 18 4 4 10 -14 16
18 Crotone 18 2 5 11 -12 11
19 Pordenone 18 1 5 12 -22 8
20 Vicenza 17 2 1 14 -17 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
2,08
U ✓
3,17
B
3,71
Over/under goals
O1,5 ✓
O2,5
2,03
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.