← Match Finder
Serie A
Referee: P Valeri
Verona
U T S T U
3–2
Full-time
Parma
S T U 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.

Unlock with Pro

Already have an account? Log in

Team trends

Verona Parma
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,3
1,2
Over 2.5 Ø 50%
67%
33%
Both score Ø 59%
67%
50%
Average goals
2,8
2,2
Scored
1,3
1,2
Conceded
1,5
1,0
Goal diff per game
-0,2
+0,2
This season — Serie A · 28/28 matches
Win Ø 38%
36%
39%
Points per game
1,4
1,4
Over 2.5 Ø 43%
43%
43%
Both score Ø 52%
54%
50%
Average goals
2,4
2,6
Scored
1,2
1,4
Conceded
1,1
1,3
Goal diff per game
+0,1
+0,1
🔒 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: 1–1

51% Possession 49%
6 Shots 13
5 Shots on target 5
5 Blocked shots 3
3 Goalkeeper saves 1
3 Corners 1
2 Offside 0
14 Free kicks against 10
2 Yellow cards 3
0 Red cards 0
The table before the match Verona 10. · Parma 9.
# Team K V U T +/− P
1 Juventus 29 23 3 3 +34 72
2 Lazio 29 21 5 3 +38 68
3 Inter 29 19 7 3 +33 64
4 Atalanta 28 17 6 5 +41 57
5 Roma 28 14 6 8 +15 48
6 Napoli 28 13 6 9 +9 45
7 Milan 28 12 6 10 -1 42
8 Cagliari 29 10 9 10 +3 39
9 Parma 28 11 6 11 +3 39
10 Verona 28 10 9 9 +2 39
11 Bologna 29 10 8 11 -5 38
12 Sassuolo 28 9 7 12 -1 34
13 Fiorentina 28 7 10 11 -5 31
14 Torino 29 9 4 16 -19 31
15 Udinese 28 7 7 14 -18 28
16 Sampdoria 28 7 5 16 -19 26
17 Genoa 29 6 8 15 -21 26
18 Lecce 28 6 7 15 -29 25
19 Spal 28 5 3 20 -27 18
20 Brescia 29 4 6 19 -33 18

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.

Recent head-to-head meetings

29. Oct -19 Parma – Verona 0–1

Match report

Verona Parma
6′
🟨 A. Barilla
14′
D. Kulusevski 0–1
A. Cornelius
15′
🟨 S. Iacoponi
38′
🟨 Hernani
Half-time 0–1
F. Dimarco 🔁
↦ D. Lazovic
46′
P. Dawidowicz 🔁
↦ A. Empereur
46′
S. Di Carmine 🔁
↦ M. Zaccagni
46′
46′
🔁 A. Barilla
↦ J. Kurtic
46′
🔁 A. Cornelius
↦ Gervinho
1–1 S. Di Carmine
48′
2–1 M. Zaccagni
M. Veloso
54′
A. Empereur 🟨
55′
61′
🔁 G. Caprari
↦ Y. Karamoh
64′
R. Gagliolo 2–2
F. Borini 🔁
↦ M. Pessina
65′
77′
🔁 V. Laurini
↦ M. Darmian
3–2 M. Pessina
V. Verre
81′
V. Verre 🔁
↦ Badu
84′
86′
🔁 Hernani
↦ L. Siligardi
M. Pessina 🟨
94′
Full-time 3–2

Line-ups

Verona

3-4-2-1
1 Marco Silvestri G
13 Amir Rrahmani D
21 Koray Günter D
27 Paweł Dawidowicz D
5 Davide Faraoni M
34 Sofyan Amrabat M
4 Miguel Veloso M
23 Federico Dimarco M
10 Samuel Di Carmine F
16 Fabio Borini F
14 Valerio Verre F
Bench (12)
96 Boris Radunović
22 Alessandro Berardi
33 Alan Empereur
6 Matteo Lovato
15 Salvatore Bocchetti
98 Claud Adjapong
20 Mattia Zaccagni
88 Darko Lazović
32 Matteo Pessina
7 Emmanuel Badu
11 Giampaolo Pazzini
9 Mariusz Stępiński

Coach: I. Juric

Parma

4-2-2-2
1 Luigi Sepe G
16 Vincent Laurini D
2 Simone Iacoponi D
22 Bruno Alves D
28 Riccardo Gagliolo D
10 Hernani M
15 Gastón Brugman M
44 Dejan Kulusevski M
17 Antonino Barillà M
11 Andreas Cornelius F
20 Gianluca Caprari F
Bench (12)
34 Simone Colombi
97 Giuseppe Pezzella
36 Matteo Darmian
5 Vasco Regini
3 Kastriot Dermaku
8 Alberto Grassi
19 Jasmin Kurtić
21 Matteo Scozzarella
93 Mattia Sprocati
7 Yann Karamoh
26 Luca Siligardi
27 Gervinho

Coach: R. D'Aversa

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,99
U
3,33
B
4,07
Over/under goals
O1,5 ✓
O2,5 ✓
2,10
U2,5
1,74
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

P Valeri · 55 kamper i vår database

🟨 Yellow cards
5,1 / match
Above average
⚽ Free kicks
28,6 / match
Above average

🟥 Red cards: 0,22 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.