← Match Finder
Serie A
Referee: A Giua
Monza
S S T T U
1–2
Full-time
Atalanta
T T S U 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 Atalanta
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,2
Over 2.5 Ø 59%
50%
67%
Both score Ø 42%
50%
33%
Average goals
3,0
2,5
Scored
1,2
1,5
Conceded
1,8
1,0
Goal diff per game
-0,7
+0,5
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 32/31 matches
Win Ø 41%
34%
48%
Points per game
1,3
1,6
Over 2.5 Ø 52%
38%
65%
Both score Ø 47%
41%
52%
Average goals
2,3
3,0
Scored
1,1
1,8
Conceded
1,3
1,2
Goal diff per game
-0,2
+0,7
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

1,09 xG 1,47
58% Possession 42%
17 Shots 12
2 Shots on target 6
6 Blocked shots 1
4 Goalkeeper saves 1
2 Corners 8
0 Offside 1
8 Free kicks against 13
3 Yellow cards 2
0 Red cards 0
The table before the match Monza 11. · Atalanta 7.
# Team K V U T +/− xG +/− P
1 Inter 32 26 5 1 +60 +43.7 83
2 Milan 32 21 6 5 +26 +15.7 69
3 Juventus 33 18 10 5 +21 +23.8 64
4 Bologna 32 16 11 5 +20 +12.7 59
5 Roma 31 16 7 8 +21 +11.3 55
6 Lazio 33 16 4 13 +7 +4.5 52
7 Atalanta 31 15 6 10 +21 +9.7 51
8 Napoli 33 13 10 10 +9 +19.8 49
9 Fiorentina 32 13 8 11 +9 +1.2 47
10 Torino 33 11 13 9 +2 +4.8 46
11 Monza 32 11 10 11 -7 -13.7 43
12 Genoa 33 9 12 12 -5 -4.7 39
13 Lecce 33 8 11 14 -18 -9.1 35
14 Cagliari 33 7 11 15 -20 -10.2 32
15 Verona 33 7 10 16 -13 -13.0 31
16 Empoli 33 8 7 18 -22 -15.1 31
17 Udinese 32 4 16 12 -18 -10.1 28
18 Frosinone 33 6 10 17 -23 -15.3 28
19 Sassuolo 33 6 8 19 -26 -17.5 26
20 Salernitana 33 2 9 22 -44 -38.7 15

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 Atalanta
Samuele Birindelli 🟨
3′
28′
🔁 H. Hateboer
↦ E. Holm
44′
C. De Ketelaere 0–1
A. Lookman
Half-time 0–1
46′
🔁 M. Ruggeri
↦ M. Bakker
V. Carboni 🔁
↦ A. Colpani
54′
64′
🔁 T. Koopmeiners
↦ C. De Ketelaere
D. Maldini 🔁
↦ G. Kyriakopoulos
65′
Armando Izzo 🟨
66′
68′
🔁 M. de Roon
↦ Éderson
68′
🔁 B. Djimsiti
↦ R. Tolói
72′
E. Touré 0–2
A. Lookman
Lorenzo Colombo 🔁
↦ M. Đurić
78′
D. D'Ambrosio 🔁
↦ R. Gagliardini
78′
L. Caldirola 🔁
↦ A. Izzo
78′
83′
🟨 Berat Djimsiti
1–2 D. Maldini
W. Bondo
89′
93′
🟨 Isak Hien
Warren Bondo 🟨
94′
Full-time 1–2

Line-ups

Monza

4-2-3-1
16 M. Di Gregorio G
19 S. Birindelli D
4 A. Izzo D
22 Pablo Marí D
77 G. Kyriakopoulos D
6 R. Gagliardini M
38 W. Bondo M
28 A. Colpani M
32 M. Pessina M
20 A. Zerbin M
11 M. Đurić F
Bench (12)
21 V. Carboni
27 D. Maldini
9 Lorenzo Colombo
33 D. D'Ambrosio
5 L. Caldirola
44 A. Carboni
23 A. Sorrentino
61 A. Ferraris
13 Pedro Pereira
66 S. Gori
2 G. Donati
80 S. Vignato

Coach: R. Palladino

Atalanta

3-4-2-1
29 M. Carnesecchi G
2 R. Tolói D
4 I. Hien D
23 S. Kolašinac D
3 E. Holm M
13 Éderson M
8 M. Pašalić M
20 M. Bakker M
17 C. De Ketelaere F
11 A. Lookman F
10 E. Touré F
Bench (12)
33 H. Hateboer
22 M. Ruggeri
7 T. Koopmeiners
15 M. de Roon
19 B. Djimsiti
31 F. Rossi
77 D. Zappacosta
25 M. Adopo
59 Aleksey Miranchuk
90 G. Scamacca
1 J. Musso
43 G. Bonfanti

Coach: G. Gasperini

Odds comparison

Green columns are the outcomes that came in.

1X2
H
4,03
U
3,69
B ✓
1,89
Over/under goals
O1,5 ✓
O2,5 ✓
1,85
U2,5
1,97
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

A Giua · 80 kamper i vår database

🟨 Yellow cards
4,9 / match
Above average
⚽ Free kicks
26,5 / match
Above average

🟥 Red cards: 0,25 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.