xgEdge

Match preview · Serie A

Fiorentina – Sassuolo

Fiorentina 17th in Serie A Home 1.45 projected goals by the model
Sassuolo 10th in Serie A Away 1.22 projected goals by the model

Model updated 4 October, 15:30 Odds not yet available

What the model expects

expected goals
1.45 1.22
Fiorentina Sassuolo
Fiorentina
41%
Draw
30%
Sassuolo
29%
The odds each result is fair at by the model's chance of it, with no margin in it
Fiorentina Draw Sassuolo
Fair odds 2.46 3.30 3.44
Total goals
2.67
Over 2.5 goals
51%
Both teams to score
60%
Data coverage · full

Both teams have the full 20-match model window available.

Model vs market

Bookmaker prices appear once the league confirms this match's date and kickoff time. Until then the model's preview above is all there is to compare.

The model's case

Why the model leans Fiorentina

41% Fiorentina to win

Attack
10th vs 13th
Fiorentina attack v Sassuolo defence
Defence
10th vs 6th
Fiorentina defence v Sassuolo attack
Recent xG form
+0.24 vs +0.30
xGD per match, last 6
Projected goals
1.45 – 1.22
Fiorentina v Sassuolo
How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: Fiorentina and Sassuolo compared, each figure with where it places in the competition.
Reading Fiorentina Sassuolo
xG / match 1.72 · 6th (better) 1.73 · 5th
xGA / match 1.33 · 9th (better) 1.33 · joint 7th
xGD / match +0.39 · 7th (better) +0.41 · 5th
xPts / match (better) 1.69 · 5th 1.63 · 7th
Last 6 xGD / match +0.24 (better) +0.30

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 34% of the model's distribution.

Fiorentina clean sheet
27%
Fiorentina 2+ goals
44%
Under 2.5 goals
49%
Both teams to score: no
40%

Most likely scorelines

1:1
15.3%
2:1
10.4%
1:2
8.5%
Value calculator

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How value is calculated

Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.

Nothing you type is remembered.

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Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Fiorentina sample
20 matches
Sassuolo sample
20 matches
Home xG sample · Fiorentina
3 matches
Away xG sample · Sassuolo
3 matches
Computed
Sunday, 04/10/2026 at 15:30

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.