← Match Finder
Serie B
Referee: Andrea Calzavara
Padova
U S U T S
1–2
Full-time
Mantova
T T T U U

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

Padova Mantova
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,8
0,3
Over 2.5 Ø 25%
17%
33%
Both score Ø 42%
50%
33%
Average goals
1,8
2,0
Scored
1,2
0,5
Conceded
0,7
1,5
Goal diff per game
+0,5
-1,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie B · 19/19 matches
Win Ø 27%
32%
21%
Points per game
1,3
0,8
Over 2.5 Ø 37%
32%
42%
Both score Ø 50%
53%
47%
Average goals
2,1
2,3
Scored
1,0
0,8
Conceded
1,1
1,5
Goal diff per game
-0,1
-0,6
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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: 0–1

1,49 xG 1,70
58% Possession 42%
20 Shots 16
7 Shots on target 5
6 Blocked shots 2
3 Goalkeeper saves 6
6 Corners 2
2 Offside 2
14 Free kicks against 20
3 Yellow cards 3
0 Red cards 0
The table before the match Padova 10. · Mantova 19.
# Team K V U T +/− xG +/− P
1 Frosinone 19 12 5 2 +20 +4.8 41
2 Venezia 19 11 5 3 +19 +13.4 38
3 Monza 19 11 4 4 +12 +6.5 37
4 Palermo 19 9 7 3 +15 +3.9 34
5 Catanzaro 19 8 7 4 +5 +1.3 31
6 Cesena 19 9 4 6 +4 +3.0 31
7 Modena 19 8 5 6 +9 +5.6 29
8 Empoli 19 7 6 6 +2 +1.3 27
9 Juve Stabia 19 6 9 4 -1 -1.6 27
10 Padova 19 6 7 6 -1 -3.8 25
11 Avellino 19 6 7 6 -8 -7.3 25
12 Carrarese 19 5 8 6 -4 -6.0 23
13 Reggiana 19 5 5 9 -5 -2.2 20
14 Virtus Entella 20 4 8 8 -9 -5.1 20
15 Sudtirol 19 3 10 6 -4 -3.3 19
16 Sampdoria 20 4 6 10 -8 +1.0 18
17 Spezia 19 4 5 10 -9 +0.6 17
18 Bari 19 3 8 8 -13 -5.0 17
19 Mantova 19 4 4 11 -12 -3.8 16
20 Pescara 19 2 8 9 -12 -3.1 14

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

8. Nov -25 Mantova – Padova 1–0

Match report

Padova Mantova
32′
D. Mensah 0–1
N. Radaelli
36′
🟨 Stefano Cella
Filippo Sgarbi 🟨
37′
Half-time 0–1
K. Lasagna 🔁
↦ P. Ghiglione
46′
J. Silva 🔁
↦ L. Crisetig
46′
L. Villa 🔁
↦ M. Perrotta
46′
49′
🟨 Flavio Paoletti
C. Faedo 🔁
↦ F. Sgarbi
62′
63′
🔁 N. Buso
↦ T. Marras
63′
🔁 F. Zuccon
↦ F. Ruocco
66′
D. Mensah 0–2
S. Trimboli
C. Buonaiuto 🔁
↦ P. Fusi
70′
70′
🔁 L. Mancuso
↦ D. Mensah
Kevin Varas Marcillo 🟨
77′
1–2 K. Lasagna
A. Capelli
81′
92′
🔁 C. Bianay Balcot
↦ N. Radaelli
Alessandro Sorrentino 🟨
93′
95′
🟨 Cristiano Bani
Full-time 1–2

Line-ups

Padova

3-5-2
22 A. Sorrentino G
4 F. Belli D
32 F. Sgarbi D
5 M. Perrotta D
18 P. Ghiglione M
8 P. Fusi M
6 L. Crisetig M
7 K. Varas M
17 A. Capelli M
10 Papu Gomez F
20 M. Bortolussi F
Bench (12)
14 M. Fortin
11 A. Seghetti
15 K. Lasagna
23 L. Di Maggio
30 G. Favale
33 D. Baselli
41 J. Silva
44 J. Harder
55 L. Villa
58 C. Pastina
72 C. Faedo
92 C. Buonaiuto

Coach: Matteo Andreoletti

Mantova

5-4-1
24 F. Bardi G
17 N. Radaelli D
36 F. Paoletti D
29 S. Cella D
27 A. Castellini D
6 C. Bani D
23 T. Marras M
21 S. Trimboli M
10 D. Wieser M
19 F. Ruocco M
7 D. Mensah F
Bench (12)
22 L. Andrenacci
34 A. Vukovic
2 C. Bianay Balcot
4 S. Mullen
9 L. Mancuso
11 A. Fiori
18 C. Falletti
30 D. Bragantini
33 C. Marai
77 N. Buso
98 F. Zuccon
53 T. Pittino

Coach: Francesco Modesto

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,30
U
3,04
B ✓
3,08
Over/under goals
O1,5 ✓
O2,5 ✓
2,04
U2,5
1,70
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

Andrea Calzavara · 12 kamper i vår database

🟨 Yellow cards
4,2 / match
Below average
⚽ Free kicks
30,9 / match
Average

🟥 Red cards: 0,08 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.