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Serie B
Como
T U U T S
1–1
Full-time
Reggina
T T T T 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

Como Reggina
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
0,5
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
67%
33%
Average goals
3,0
2,8
Scored
1,7
0,5
Conceded
1,3
2,3
Goal diff per game
+0,3
-1,8
This season — Serie B · 17/17 matches
Win Ø 35%
35%
35%
Points per game
1,4
1,3
Over 2.5 Ø 38%
35%
41%
Both score Ø 50%
59%
41%
Average goals
2,6
2,2
Scored
1,4
0,9
Conceded
1,2
1,4
Goal diff per game
+0,2
-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

21 Shots 23
3 Shots on target 6
12 Corners 9
14 Free kicks against 13
2 Yellow cards 3
0 Red cards 1
The table before the match Como 11. · Reggina 13.
# Team K V U T +/− P
1 Pisa 17 10 5 2 +12 35
2 Brescia 17 10 3 4 +10 33
3 Lecce 17 8 7 2 +14 31
4 Benevento 17 9 4 4 +13 31
5 Monza 17 8 7 2 +8 31
6 Cremonese 17 8 5 4 +7 29
7 Cittadella 17 8 4 5 +3 28
8 Perugia 17 6 8 3 +3 26
9 Ascoli 17 7 5 5 +1 26
10 Frosinone 17 5 10 2 +7 25
11 Como 17 6 6 5 +3 24
12 Ternana 17 6 4 7 +0 22
13 Reggina 17 6 4 7 -8 22
14 Spal 17 5 5 7 +0 20
15 Parma 17 4 8 5 -2 20
16 Alessandria 17 5 2 10 -8 17
17 Cosenza 17 4 4 9 -12 16
18 Crotone 17 1 5 11 -15 8
19 Pordenone 17 1 5 11 -19 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
2,42
U ✓
3,04
B
3,08
Over/under goals
O1,5 ✓
O2,5
2,11
U2,5 ✓
1,71
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.