← Match Finder
Serie B
Referee: D Massa
Monza
T U U S S
0–2
Full-time
Catanzaro
T S S 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.

Unlock with Pro

Already have an account? Log in

Team trends

Monza Catanzaro
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,0
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
67%
33%
Average goals
3,2
3,3
Scored
1,8
1,7
Conceded
1,3
1,7
Goal diff per game
+0,5
+0,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie B · 41/42 matches
Win Ø 50%
59%
40%
Points per game
2,0
1,5
Over 2.5 Ø 52%
49%
55%
Both score Ø 57%
51%
62%
Average goals
2,5
2,9
Scored
1,6
1,6
Conceded
0,9
1,3
Goal diff per game
+0,8
+0,3
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

0,61 xG 1,16
33% Possession 67%
9 Shots 15
4 Shots on target 8
3 Blocked shots 2
6 Goalkeeper saves 4
3 Corners 3
2 Offside 2
18 Free kicks against 19
4 Yellow cards 3
0 Red cards 0
The table before the match Monza 1. · Catanzaro 5.
# Team K V U T +/− xG +/− P
1 Monza 41 24 11 6 +32 +16.4 83
2 Venezia 38 24 10 4 +46 +37.2 82
3 Frosinone 38 23 12 3 +42 +12.1 81
4 Palermo 40 21 12 7 +27 +11.6 75
5 Catanzaro 42 17 14 11 +13 +0.7 65
6 Modena 39 15 10 14 +12 +5.8 55
7 Juve Stabia 41 12 19 10 -1 -1.0 55
8 Avellino 39 13 10 16 -15 -15.3 49
9 Padova 38 12 10 16 -10 -14.8 46
10 Cesena 38 12 10 16 -11 +3.4 46
11 Mantova 38 13 7 18 -12 -0.0 46
12 Carrarese 38 10 14 14 -5 -7.5 44
13 Sampdoria 38 11 11 16 -13 -1.7 44
14 Sudtirol 40 8 19 13 -10 -3.7 43
15 Virtus Entella 38 10 12 16 -15 -7.3 42
16 Bari 40 10 12 18 -22 -24.9 42
17 Empoli 38 9 14 15 -7 +4.8 41
18 Reggiana 38 9 10 19 -20 -9.9 37
19 Pescara 38 7 14 17 -15 -4.2 35
20 Spezia 38 8 11 19 -16 -1.6 35

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

Monza Catanzaro
Dany Mota 🟨
-5′
25′
🟨 Simone Pontisso
39′
Fellipe Jack 0–1
S. Pontisso
Half-time 0–1
A. Petagna 🔁
↦ D. Mota
46′
46′
🔁 M. Pompetti
↦ S. Pontisso
55′
🔁 G. Alesi
↦ F. Di Francesco
63′
🔁 R. Frosinini
↦ Fellipe Jack
G. Caso 🔁
↦ P. Cutrone
69′
L. Lucchesi 🔁
↦ A. Carboni
70′
V. Antov 🔁
↦ A. Bakoune
74′
78′
🔁 M. D'Alessandro
↦ T. Cassandro
78′
🔁 N. Koffi
↦ M. Liberali
78′
R. Frosinini 0–2
C. Favasuli
P. Obiang 🔁
↦ Hernani
83′
85′
🟨 Ruggero Frosinini
Samuele Birindelli 🟨
87′
92′
🟨 N'Dri Koffi
Valentin Antov 🟨
93′
Demba Thiam 🟨
95′
Full-time 0–2

Line-ups

Monza

3-4-2-1
20 D. Thiam G
19 S. Birindelli D
15 F. Delli Carri D
44 A. Carboni D
24 A. Bakoune M
21 L. Colombo M
32 M. Pessina M
7 P. Azzi M
8 Hernani F
47 D. Mota F
10 P. Cutrone F
Bench (12)
1 S. Pizzignacco
37 A. Petagna
26 P. Ciurria
30 G. Caso
25 A. Alvarez
14 P. Obiang
13 L. Ravanelli
6 V. Antov
2 A. Brorsson
28 A. Colpani
3 L. Lucchesi
27 S. Capolupo

Coach: Paolo Bianco

Catanzaro

3-4-1-2
22 M. Pigliacelli G
84 T. Cassandro D
4 Matias Antonini D
6 Fellipe Jack D
27 C. Favasuli M
10 J. Petriccione M
20 S. Pontisso M
94 F. Di Francesco M
14 M. Liberali F
8 F. Pittarello F
9 P. Iemmello F
Bench (12)
1 C. Marietta
77 M. D'Alessandro
28 R. Oudin
21 M. Pompetti
62 R. Frosinini
30 G. Alesi
5 E. Bashi
23 N. Brighenti
39 N. Koffi
26 B. Verrengia
19 P. Nuamah
32 F. Rispoli

Coach: Alberto Aquilani

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5 ✓
U2,5 ✓
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

D Massa · 154 kamper i vår database

🟨 Yellow cards
4,9 / match
Average
⚽ Free kicks
26,2 / match
Below average

🟥 Red cards: 0,27 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.