← Match Finder
Serie A
Referee: F La Penna
Sassuolo
U T T T T
1–0
Full-time
Frosinone
T T T T 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

Sassuolo Frosinone
Last 6 — all competitions · 6/6 matches
Win Ø 0%
0%
0%
Points per game
0,2
0,3
Over 2.5 Ø 67%
67%
67%
Both score Ø 75%
67%
83%
Average goals
4,0
3,8
Scored
1,0
1,2
Conceded
3,0
2,7
Goal diff per game
-2,0
-1,5
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 27/27 matches
Win Ø 21%
19%
22%
Points per game
0,7
0,9
Over 2.5 Ø 65%
59%
70%
Both score Ø 71%
63%
78%
Average goals
3,2
3,4
Scored
1,2
1,3
Conceded
2,0
2,1
Goal diff per game
-0,9
-0,8
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: 0–0

0,64 xG 1,27
39% Possession 61%
10 Shots 11
4 Shots on target 1
4 Blocked shots 3
1 Goalkeeper saves 3
1 Corners 2
0 Offside 2
14 Free kicks against 9
3 Yellow cards 1
0 Red cards 0
The table before the match Sassuolo 19. · Frosinone 16.
# Team K V U T +/− xG +/− P
1 Inter 27 23 3 1 +56 +37.6 72
2 Juventus 27 17 6 4 +21 +22.2 57
3 Milan 27 17 5 5 +19 +8.6 56
4 Bologna 27 14 9 4 +17 +7.1 51
5 Roma 27 14 5 8 +19 +12.9 47
6 Atalanta 27 14 4 9 +19 +11.5 46
7 Napoli 28 12 8 8 +11 +17.9 44
8 Fiorentina 27 12 6 9 +9 +1.0 42
9 Lazio 27 12 4 11 +3 +0.3 40
10 Torino 28 9 11 8 +0 +2.3 38
11 Monza 27 9 9 9 -6 -9.6 36
12 Genoa 27 8 9 10 -4 -5.2 33
13 Lecce 27 5 10 12 -19 -13.3 25
14 Empoli 27 6 7 14 -19 -7.5 25
15 Udinese 27 3 15 9 -15 -6.5 24
16 Frosinone 27 6 6 15 -21 -12.8 24
17 Verona 27 5 8 14 -12 -9.5 23
18 Cagliari 27 5 8 14 -22 -11.8 23
19 Sassuolo 27 5 5 17 -23 -14.0 20
20 Salernitana 27 2 8 17 -33 -31.1 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.

Match report

Sassuolo Frosinone
9′
🔁 Pol Lirola
↦ E. Valeri
Kristian Thorstvedt 🟨
23′
Josh Doig 🟨
32′
Half-time 0–0
50′
🟨 Farès Ghedjemis
56′
ℹ️ Luca Mazzitelli
VAR: Penalty cancelled
1–0 K. Thorstvedt
U. Račić
58′
Matheus Henrique 🔁
↦ K. Thorstvedt
63′
63′
🔁 D. Seck
↦ F. Ghedjemis
63′
🔁 A. Ibrahimović
↦ M. Brescianini
Armand Laurienté 🟨
72′
D. Boloca 🔁
↦ G. Defrel
72′
S. Mulattieri 🔁
↦ A. Pinamonti
84′
M. Kumbulla 🔁
↦ A. Laurienté
84′
84′
🔁 Kaio Jorge
↦ W. Cheddira
84′
🔁 M. Çuni
↦ M. Soulé
Full-time 1–0

Line-ups

Sassuolo

4-2-3-1
47 A. Consigli G
3 M. Pedersen D
5 M. Erlić D
13 G. Ferrari D
43 J. Doig D
6 U. Račić M
42 K. Thorstvedt M
45 A. Laurienté M
92 G. Defrel M
11 N. Bajrami M
9 A. Pinamonti F
Bench (14)
7 Matheus Henrique
24 D. Boloca
8 S. Mulattieri
19 M. Kumbulla
20 Samu Castillejo
2 F. Missori
15 E. Ceïde
28 A. Cragno
25 G. Pegolo
14 Pedro Obiang
44 Ruan Tressoldi
23 C. Volpato
35 L. Lipani
21 M. Viti

Coach: D. Ballardini

Frosinone

4-3-3
80 S. Turati G
19 N. Zortea D
5 C. Okoli D
6 S. Romagnoli D
32 E. Valeri D
36 L. Mazzitelli M
45 E. Barrenechea M
4 M. Brescianini M
18 M. Soulé F
70 W. Cheddira F
29 F. Ghedjemis F
Bench (13)
20 Pol Lirola
8 D. Seck
27 A. Ibrahimović
9 Kaio Jorge
11 M. Çuni
31 M. Cerofolini
14 F. Gelli
1 P. Frattali
12 Reinier
30 I. Monterisi
7 J. Báez
16 L. Garritano
13 M. Kamenšek Pahič

Coach: E. Di Francesco

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,25
U
3,67
B
3,06
Over/under goals
U1,5 ✓
O2,5
1,66
U2,5 ✓
2,25
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

F La Penna · 93 kamper i vår database

🟨 Yellow cards
4,8 / match
Average
⚽ Free kicks
27,9 / match
Above average

🟥 Red cards: 0,29 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.