Sassuolo’s solid attacking threat meets a Fiorentina side capable of creating pressure, while both defenses look vulnerable. That open, end-to-end profile should produce sustained chances, with momentum and defensive lapses making a high-scoring contest the likeliest script.
Match GoalsOver 2.5
Best Pick
BTTS
53%
Correct Score
Top
1-1
11.6%
7.00
Top
1-0
10.9%
13.00
2-1
9.6%
11.00
2-0
9.1%
17.00
0-1
7%
11.00
0-0
6.6%
15.00
1-2
6.2%
9.50
3-1
5.3%
21.00
151%
2.80TOP
X24%
3.50
224%
2.35
1X75%
X248%
1275%
Combined Bet Builder
4 legs
Sassuolo’s 0.97 first-half xG points to early chances, while their defence is 15% weaker than average and Fiorentina’s is 36% weaker—conditions that favour goals at both ends and Over 2.5. Fiorentina’s 4.75 xCorners plus Sassuolo’s 3.79 support Over 7.5 corners; the visitors’ stronger attacking profile makes Draw or Fiorentina the logical cover.
1Double ChanceDraw or Fiorentina
2Match GoalsOver 2.5
3Corners Over/UnderOver 7.5
4First Half Over/UnderOver 0.5
Probable XI3-5-2
Murić
Odenthal
Caleta-Car
Pieragnolo
Ghion
Bakola
Sulemana
Thorstvedt
Lipani
Laurienté
Domínguez
Impact Player Hot Head Shooter
Domenico Berardi — the go-to finisher in this side, and he loves these nights
Kieron Bowie — always sniffing around the box — the kind of player who just ends up on the scoresheet
Sebastiano Esposito — the go-to finisher in this side, and he loves these nights
Lineups not yet announced — full squad analysis below
Sassuolo35 players
48.9/ 99Average
Top Rated
1Darryl BakolaMID80
2Nicholas PieriniFWD78
3Vasilije AdžićMID67
Fiorentina36 players
46.5/ 99Average
Top Rated
1Moise KeanFWD71
2Radu Drăgușin DEF68
3Wilfried GnontoFWD68
Sassuolo52
PlayerOverall RatingImpactAggressionDiscipline
Darryl Bakola80696989
Nicholas Pierini78876350
Vasilije Adžić67436491
Domenico Berardi 67556091
Simone Cinquegrano62444689
Duje Caleta-Car60564272
Kieron Bowie59477078
Riccardo Ciervo59653950
Jay Idzes58613271
Ignace Van der Brempt 54307564
Andrea Ghion54516650
Rafa Obrador53486550
Laurs Skjellerup53535850
Fiorentina48
PlayerOverall RatingImpactAggressionDiscipline
Moise Kean71933824
Radu Drăgușin 68694374
Wilfried Gnonto68617967
Pietro Comuzzo64555670
Luís Balbo60575561
M'Bala Nzola60534976
Nicolás Valentini 58807921
Marin Pongracic56546052
Roberto Piccoli56446078
Beto55455872
Mateo Pellegrino53426370
Cher Ndour52375170
Marco Brescianini52334183
Pre-Match Predictions· Lineups not yet announced
Top Goalscorers
Attackers with highest impact
1
Nicholas Pierini
Sassuolo
Impact
87
3.30
2
Franco Mastantuono
Fiorentina
Impact
59
3.10
3
Armand Laurienté
Sassuolo
Impact
55
3.10
4
Domenico Berardi
Sassuolo
Impact
55
2.84
5
Laurs Skjellerup
Sassuolo
Impact
53
3.10
6
Cristian Volpato
Sassuolo
Impact
47
4.14
Player Rankings
Snipers
Top goal threats
1
Moise KeanFiorentina
93
2
Nicholas PieriniSassuolo
87
3
Riccardo CiervoSassuolo
65
4
Wilfried GnontoFiorentina
61
5
Franco MastantuonoFiorentina
59
Wall
Top defenders
1
Nicolás Valentini Fiorentina
80
2
Radu Drăgușin Fiorentina
69
3
Jay IdzesSassuolo
61
4
Luís BalboFiorentina
57
5
Matías MorenoFiorentina
57
Control
Top playmakers
1
Nicolò FagioliFiorentina
76
2
Darryl BakolaSassuolo
69
3
Nemanja MaticSassuolo
68
4
Andrea GhionSassuolo
51
5
Ibrahim SulemanaSassuolo
51
Bad Boys
Most likely to get booked
1
Nemanja MaticSassuolo
1
Aggression 35
2
Cristian VolpatoSassuolo
1
Aggression 53
3
DodôFiorentina
1
Aggression 29
4
Luca Ranieri Fiorentina
1
Aggression 36
5
Matías MorenoFiorentina
1
Aggression 46
Power Rankings
Strongest overall
1
Darryl BakolaSassuolo
80
2
Nicholas PieriniSassuolo
78
3
Moise KeanFiorentina
71
4
Radu Drăgușin Fiorentina
68
5
Wilfried GnontoFiorentina
68
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Sassuolo vs Fiorentina based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.
The Bet Builder combines multiple selections from the Sassuolo vs Fiorentina match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.
xG (expected goals) measures the quality of scoring chances. If Sassuolo has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).
Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Sassuolo vs Fiorentina without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.
A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Sassuolo a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.
AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.