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Serie A
Referee: J Sacchi
Monza
U U T U S
3–2
Full-time
Fiorentina
S U S U 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

Monza Fiorentina
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,5
1,8
Over 2.5 Ø 33%
33%
33%
Both score Ø 67%
67%
67%
Average goals
2,3
2,8
Scored
1,2
1,8
Conceded
1,2
1,0
Goal diff per game
+0,0
+0,8
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 30/30 matches
Win Ø 35%
33%
37%
Points per game
1,3
1,4
Over 2.5 Ø 42%
47%
37%
Both score Ø 50%
47%
53%
Average goals
2,5
2,3
Scored
1,2
1,2
Conceded
1,4
1,1
Goal diff per game
-0,2
+0,1
xG created Pro
xG conceded Pro
xG diff Pro
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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: 2–2

1,54 xG 1,25
45% Possession 55%
13 Shots 10
5 Shots on target 5
3 Blocked shots 2
3 Goalkeeper saves 3
5 Corners 3
18 Free kicks against 15
3 Yellow cards 3
0 Red cards 0
The table before the match Monza 13. · Fiorentina 9.
# Team K V U T +/− xG +/− P
1 Napoli 30 24 3 3 +45 +8.2 75
2 Lazio 31 18 7 6 +28 +3.0 61
3 Juventus 30 18 5 7 +22 +6.8 59
4 Roma 30 17 5 8 +16 +6.1 56
5 Inter 31 17 3 11 +17 +14.6 54
6 Milan 30 15 8 7 +12 +3.8 53
7 Atalanta 30 14 7 9 +13 +3.0 49
8 Bologna 31 12 8 11 +1 -2.3 44
9 Fiorentina 30 11 9 10 +2 +4.5 42
10 Torino 31 11 9 11 -4 +1.4 42
11 Sassuolo 31 11 7 13 -8 +2.8 40
12 Udinese 30 9 12 9 +0 -2.1 39
13 Monza 30 10 8 12 -6 -2.3 38
14 Salernitana 31 7 12 12 -13 -8.6 33
15 Empoli 31 7 11 13 -15 -6.8 32
16 Lecce 30 6 10 14 -10 -0.8 28
17 Spezia 30 5 11 14 -23 -8.0 26
18 Verona 30 6 7 17 -18 -4.4 25
19 Cremonese 30 3 10 17 -27 -8.3 19
20 Sampdoria 31 3 8 20 -32 -10.5 17

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

4. Jan -23 Fiorentina – Monza 1–1

Match report

Monza Fiorentina
8′
C. Kouamé 0–1
C. Biraghi
13′
R. Saponara 0–2
C. Kouamé
0–3 C. Biraghi
own goal
26′
Carlos Augusto 🟨
33′
39′
🟨 Antonín Barák
42′
🟨 Nikola Milenković
1–3 Dany Mota
M. Di Gregorio
43′
Half-time 1–3
Matteo Pessina ℹ️
VAR: Goal cancelled
48′
57′
🟨 Sofyan Amrabat
59′
🔁 R. Sottil
↦ R. Saponara
59′
🔁 G. Castrovilli
↦ A. Barák
2–3 M. Pessina
59′
Armando Izzo 🟨
68′
José Machín 🔁
↦ M. Pessina
68′
G. Donati 🔁
↦ A. Colpani
68′
71′
🔁 A. Duncan
↦ S. Amrabat
71′
🔁 L. Jović
↦ R. Mandragora
A. Petagna 🔁
↦ G. Caprari
78′
80′
🔁 A. Terzić
↦ Dodô
M. Valoti 🔁
↦ Dany Mota
87′
Marlon 🔁
↦ A. Izzo
87′
Nicolò Rovella 🟨
92′
Full-time 2–3

Line-ups

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
6 N. Rovella M
32 M. Pessina M
30 Carlos Augusto M
28 A. Colpani F
17 G. Caprari F
47 Dany Mota F
Bench (15)
7 José Machín
2 G. Donati
37 A. Petagna
10 M. Valoti
4 Marlon
19 S. Birindelli
89 A. Cragno
11 F. Carboni
77 M. D'Alessandro
91 A. Sorrentino
80 S. Vignato
12 S. Sensi
26 V. Antov
22 F. Ranocchia
9 C. Gytkjær

Coach: R. Palladino

Fiorentina

4-2-3-1
1 P. Terracciano G
2 Dodô D
4 N. Milenković D
28 L. Martínez D
3 C. Biraghi D
34 S. Amrabat M
38 R. Mandragora M
99 C. Kouamé M
72 A. Barák M
8 R. Saponara M
9 Arthur Cabral F
Bench (13)
33 R. Sottil
10 G. Castrovilli
32 A. Duncan
7 L. Jović
15 A. Terzić
48 M. Kayode
98 Igor
31 M. Cerofolini
11 J. Ikoné
22 N. González
51 T. Vannucchi
42 A. Bianco
16 L. Ranieri

Coach: V. Italiano

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
3,60
U
3,43
B
2,08
Over/under goals
O1,5 ✓
O2,5 ✓
2,03
U2,5
1,79
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

J Sacchi · 80 kamper i vår database

🟨 Yellow cards
4,2 / match
Average
⚽ Free kicks
26,1 / match
Above average

🟥 Red cards: 0,13 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.