← Match Finder
Serie A
Referee: A Prontera
Udinese
U S S U S
1–0
Full-time
Como
U U U T U

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 Who wins? Pro

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

Unlock with Pro

Already have an account? Log in

Team trends

Udinese Como
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,3
1,2
Over 2.5 Ø 33%
33%
33%
Both score Ø 59%
50%
67%
Average goals
2,3
2,0
Scored
1,8
0,8
Conceded
0,5
1,2
Goal diff per game
+1,3
-0,3
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 2/2 matches
Win Ø 25%
50%
0%
Points per game
2,0
0,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 75%
100%
50%
Average goals
2,5
2,5
Scored
1,5
0,5
Conceded
1,0
2,0
Goal diff per game
+0,5
-1,5
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 1–0

0,98 xG 1,68
44% Possession 56%
10 Shots 21
3 Shots on target 4
2 Blocked shots 7
4 Goalkeeper saves 1
4 Corners 6
2 Offside 1
16 Free kicks against 9
3 Yellow cards 0
0 Red cards 0
The table before the match Udinese 8. · Como 19.
# Team K V U T +/− xG +/− P
1 Inter 3 2 1 0 +6 +1.9 7
2 Torino 3 2 1 0 +2 -1.7 7
3 Juventus 2 2 0 0 +6 +1.7 6
4 Verona 3 2 0 1 +2 +0.2 6
5 Napoli 3 2 0 1 +1 +1.4 6
6 Empoli 3 1 2 0 +1 +0.4 5
7 Lazio 3 1 1 1 +1 +3.0 4
8 Udinese 2 1 1 0 +1 -2.7 4
9 Parma 3 1 1 1 +0 +0.4 4
10 Genoa 3 1 1 1 -1 +0.4 4
11 Fiorentina 3 0 3 0 +0 +1.0 3
12 Atalanta 3 1 0 2 -1 +1.0 3
13 Lecce 3 1 0 2 -5 -2.5 3
14 Milan 3 0 2 1 -1 +0.6 2
15 Monza 3 0 2 1 -1 -2.1 2
16 Cagliari 3 0 2 1 -1 -0.5 2
17 Bologna 3 0 2 1 -3 +0.8 2
18 Roma 2 0 1 1 -1 -0.7 1
19 Como 2 0 1 1 -3 -0.3 1
20 Venezia 3 0 1 2 -3 -2.2 1

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.

Match report

Udinese Como
1–0 Brenner
K. Ehizibue
43′
Half-time 1–0
46′
🔁 I. Van der Brempt
↦ A. Iovine
63′
🔁 Sergi Roberto
↦ L. Mazzitelli
63′
🔁 N. Paz
↦ A. Belotti
63′
🔁 A. Fadera
↦ L. da Cunha
Jaka Bijol 🟨
68′
K. Davis 🔁
↦ L. Lucca
69′
J. Ekkelenkamp 🔁
↦ Brenner
70′
Iker Bravo 🔁
↦ F. Thauvin
70′
M. Payero 🔁
↦ S. Lovrić
79′
T. Kristensen 🔁
↦ C. Kabasele
83′
83′
🔁 A. Gabrielloni
↦ Gabriel Strefezza
Jordan Zemura 🟨
91′
93′
ℹ️ Marc-Oliver Kempf
VAR: Penalty confirmed
95′
Patrick Cutrone
penalty missed
Iker Bravo 🟨
99′
Full-time 1–0

Line-ups

Udinese

3-4-2-1
40 M. Okoye G
27 C. Kabasele D
29 J. Bijol D
30 L. Gianetti D
19 K. Ehizibue M
25 J. Karlström M
8 S. Lovrić M
33 J. Zemura M
10 F. Thauvin F
22 Brenner F
17 L. Lucca F
Bench (12)
9 K. Davis
32 J. Ekkelenkamp
21 Iker Bravo
5 M. Payero
31 T. Kristensen
4 J. Abankwah
99 D. Pizarro
23 E. Ebosse
93 D. Padelli
16 M. Palma
6 Oier Zarraga
90 R. Sava

Coach: K. Runjaić

Como

4-2-2-2
25 Pepe Reina G
6 A. Iovine D
13 A. Dossena D
2 M. Kempf D
18 Alberto Moreno D
36 L. Mazzitelli M
23 M. Perrone M
7 Gabriel Strefezza M
33 L. da Cunha M
11 A. Belotti F
10 P. Cutrone F
Bench (13)
77 I. Van der Brempt
20 Sergi Roberto
79 N. Paz
16 A. Fadera
9 A. Gabrielloni
1 E. Audero
26 Y. Engelhardt
14 Ali Jasim
93 F. Barba
5 E. Goldaniga
3 M. Sala
27 M. Braunöder
17 A. Cerri

Coach: Cesc Fàbregas

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,07
U
3,38
B
3,77
Over/under goals
U1,5 ✓
O2,5
2,13
U2,5 ✓
1,74
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

A Prontera · 64 kamper i vår database

🟨 Yellow cards
4,3 / match
Average
⚽ Free kicks
26,8 / match
Above average

🟥 Red cards: 0,19 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.