← Match Finder
Serie B
Referee: Fabio Maresca
Padova
T S S T S
1–1
Full-time
Verona
T U T U T

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

Padova Verona
Last 6 — all competitions · 6/6 matches
Win Ø 34%
67%
0%
Points per game
2,0
0,5
Over 2.5 Ø 25%
17%
33%
Both score Ø 42%
17%
67%
Average goals
2,0
2,3
Scored
1,2
0,8
Conceded
0,8
1,5
Goal diff per game
+0,3
-0,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie B · 1/1 matches
Win Ø 50%
100%
0%
Points per game
3,0
0,0
Over 2.5 Ø 50%
0%
100%
Both score Ø 50%
0%
100%
Average goals
1,0
3,0
Scored
1,0
1,0
Conceded
0,0
2,0
Goal diff per game
+1,0
-1,0
🔒 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

0,94 xG 1,62
39% Possession 61%
7 Shots 14
2 Shots on target 3
1 Blocked shots 4
2 Goalkeeper saves 3
2 Corners 6
0 Offside 1
12 Free kicks against 18
4 Yellow cards 1
0 Red cards 0
The table before the match Padova 8. · Verona 14.
# Team K V U T +/− xG +/− P
1 Modena 2 2 0 0 +4 +0.7 6
2 Cesena 2 1 1 0 +1 +0.3 4
3 Vicenza 1 1 0 0 +1 +0.0 3
4 Ascoli 1 1 0 0 +1 -1.8 3
5 Mantova 1 1 0 0 +1 +0.3 3
6 Arezzo 1 1 0 0 +1 +0.8 3
7 Empoli 1 1 0 0 +1 +0.2 3
8 Padova 1 1 0 0 +1 -0.4 3
9 Palermo 1 1 0 0 +1 +0.2 3
10 Sudtirol 1 1 0 0 +1 +0.4 3
11 Juve Stabia 2 1 0 1 +0 -0.7 3
12 Sampdoria 2 0 1 1 -1 +0.0 1
13 Catanzaro 1 0 0 1 -1 -0.0 0
14 Verona 1 0 0 1 -1 +1.8 0
15 Benevento 1 0 0 1 -1 -0.4 0
16 Carrarese 1 0 0 1 -1 -0.3 0
17 Avellino 1 0 0 1 -1 -0.8 0
18 Pisa 1 0 0 1 -1 +0.4 0
19 Virtus Entella 2 0 0 2 -2 -0.2 0
20 Cremonese 2 0 0 2 -4 -0.5 0

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

Padova Verona
Pietro Fusi 🟨
18′
Christian Pastina 🟨
24′
0–1 A. Edmundsson
own goal
25′
27′
🟨 Tobias Slotsager
Half-time 0–1
46′
🔁 S. Korac
↦ T. Slotsager
G. Giunti 🔁
↦ P. Fusi
59′
K. Lasagna 🔁
↦ G. Caprari
59′
65′
🔁 D. Livramento
↦ A. Harroui
67′
A. Sarr 0–2
M. Bortolussi 🔁
↦ L. Moro
70′
A. Capelli 🔁
↦ M. Cocchi
70′
Giovanni Giunti 🟨
75′
78′
🔁 N. Calabrese
↦ G. Zappa
78′
🔁 G. Kastanos
↦ M. Compagnon
78′
🔁 S. Cerbone
↦ A. Sarr
F. Di Mariano 🔁
↦ M. Pompetti
83′
Alessandro Capelli 🟨
90′
Full-time 0–2

Line-ups

Padova

3-5-2
22 A. Sorrentino G
27 A. Dellavalle D
5 M. Lovato D
58 C. Pastina D
24 L. Carissoni M
14 M. Pompetti M
21 E. Zuelli M
8 P. Fusi M
34 M. Cocchi M
9 L. Moro F
10 G. Caprari F
Bench (12)
1 L. Mouquet
32 F. Sgarbi
18 E. Silletti
72 C. Faedo
6 G. Giunti
7 K. Varas
74 D. Marcolini
23 F. Di Mariano
15 K. Lasagna
20 M. Bortolussi
17 A. Capelli
11 A. Seghetti

Coach: Roberto Breda

Verona

3-5-2
1 N. Leali G
28 T. Slotsager D
5 A. Edmundsson D
6 D. Bradaric D
4 G. Zappa M
17 A. Le Borgne M
24 A. Bernede M
21 A. Harroui M
9 A. Sarr M
11 M. Compagnon F
19 S. Mulattieri F
Bench (12)
34 S. Perilli
22 G. Toniolo
71 D. De Battisti
48 S. Korac
37 N. Calabrese
23 N. Lella
70 F. Cham
20 G. Kastanos
79 K. Sezonienko
90 I. Vermesan
14 D. Livramento
35 S. Cerbone

Coach: Marco Baroni

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,82
U ✓
3,02
B
2,46
Over/under goals
O1,5 ✓
O2,5
2,31
U2,5 ✓
1,55
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

Fabio Maresca · 57 kamper i vår database

🟨 Yellow cards
5,2 / match
Average
⚽ Free kicks
26,9 / match
Below average

🟥 Red cards: 0,42 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.