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Serie A
Referee: M Di Bello
Atalanta
S T T S T
5–2
Full-time
Monza
U U S S T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Atalanta Monza
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,5
1,8
Over 2.5 Ø 42%
67%
17%
Both score Ø 59%
67%
50%
Average goals
3,3
2,0
Scored
1,7
1,3
Conceded
1,7
0,7
Goal diff per game
+0,0
+0,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 37/37 matches
Win Ø 44%
49%
38%
Points per game
1,6
1,4
Over 2.5 Ø 46%
49%
43%
Both score Ø 53%
57%
49%
Average goals
2,9
2,5
Scored
1,6
1,2
Conceded
1,2
1,3
Goal diff per game
+0,4
+0,0
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.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 2–0

4,04 xG 1,19
39% Possession 61%
20 Shots 8
10 Shots on target 4
2 Blocked shots 0
2 Goalkeeper saves 5
5 Corners 1
2 Offside 3
13 Free kicks against 8
1 Yellow cards 2
0 Red cards 1
The table before the match Atalanta 6. · Monza 10.
# Team K V U T +/− xG +/− P
1 Napoli 38 28 6 4 +49 +13.3 90
2 Lazio 38 22 8 8 +30 +6.7 74
3 Inter 38 23 3 12 +29 +18.4 72
4 Juventus 37 21 6 10 +22 +7.7 69
5 Milan 37 19 10 8 +19 +5.4 67
6 Atalanta 37 18 7 12 +15 +2.3 61
7 Roma 37 17 9 11 +11 +6.6 60
8 Fiorentina 38 15 11 12 +10 +8.8 56
9 Torino 38 14 11 13 +1 +4.7 53
10 Monza 37 14 10 13 -1 -3.1 52
11 Bologna 37 13 12 12 +3 -0.6 51
12 Udinese 37 11 13 13 +0 -5.1 46
13 Sassuolo 38 12 9 17 -14 +4.1 45
14 Empoli 38 10 13 15 -12 -7.6 43
15 Salernitana 38 9 15 14 -14 -15.0 42
16 Lecce 37 8 12 17 -12 +0.0 36
17 Verona 36 7 9 20 -26 -8.1 30
18 Spezia 36 6 12 18 -30 -5.6 30
19 Cremonese 38 5 12 21 -33 -13.8 27
20 Sampdoria 38 3 10 25 -47 -19.3 19

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

5. Sep -22 Monza – Atalanta 0–2

Match report

Atalanta Monza
1–0 T. Koopmeiners
J. Mæhle
12′
33′
🟨 Nicolò Rovella
Half-time 2–0
2–0 T. Koopmeiners
46′
51′
A. Colpani 2–1
Dany Mota
C. Okoli 🔁
↦ G. Scalvini
60′
A. Lookman 🔁
↦ M. Pašalić
60′
62′
🔁 A. Petagna
↦ Dany Mota
63′
🟨 Armando Izzo
Rafael Tolói 🟨
64′
Berat Djimsiti ℹ️
VAR: Penalty cancelled
65′
69′
🔁 Marlon
↦ A. Izzo
69′
🔁 S. Birindelli
↦ A. Colpani
70′
🟥 Marlon
3–1 R. Højlund
T. Koopmeiners
74′
4–1 T. Koopmeiners
J. Mæhle
79′
81′
🔁 José Machín
↦ G. Caprari
81′
🔁 V. Antov
↦ P. Ciurria
81′
A. Petagna 4–2
N. Rovella
L. Muriel 🔁
↦ R. Højlund
83′
F. Rossi 🔁
↦ M. Sportiello
88′
T. De Nipoti 🔁
↦ Éderson
88′
5–2 L. Muriel
A. Lookman
92′
Full-time 5–2

Line-ups

Atalanta

3-4-2-1
57 M. Sportiello G
2 R. Tolói D
19 B. Djimsiti D
42 G. Scalvini D
77 D. Zappacosta M
15 M. de Roon M
13 Éderson M
3 J. Mæhle M
88 M. Pašalić F
7 T. Koopmeiners F
17 R. Højlund F
Bench (12)
5 C. Okoli
11 A. Lookman
9 L. Muriel
31 F. Rossi
48 T. De Nipoti
1 J. Musso
51 I. Regonesi
46 M. Palestra
50 T. Del Lungo
40 M. Colombo
43 L. Bernasconi
44 L. Mendicino

Coach: G. Gasperini

Monza

3-4-2-1
16 M. Di Gregorio G
55 A. Izzo D
3 Pablo Marí D
5 L. Caldirola D
84 P. Ciurria M
32 M. Pessina M
6 N. Rovella M
30 Carlos Augusto M
28 A. Colpani F
17 G. Caprari F
47 Dany Mota F
Bench (15)
37 A. Petagna
4 Marlon
19 S. Birindelli
7 José Machín
26 V. Antov
8 A. Barberis
10 M. Valoti
12 S. Sensi
89 A. Cragno
22 F. Ranocchia
80 S. Vignato
91 A. Sorrentino
77 M. D'Alessandro
11 F. Carboni
9 C. Gytkjær

Coach: R. Palladino

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,59
U
4,39
B
5,19
Over/under goals
O1,5 ✓
O2,5 ✓
1,54
U2,5
2,48
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

M Di Bello · 127 kamper i vår database

🟨 Yellow cards
4,2 / match
Average
⚽ Free kicks
26,6 / match
Above average

🟥 Red cards: 0,16 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.