Serie A 2026/27 · Week 2
Sassuolo – Torino
Score: Sassuolo 2, Torino 1
Sassuolo
TorinoMatch context
- Sassuolo have kept 3 clean sheets in their last 10 home matches.
Model vs result
We gave it 39%
Most likely scoreline was 1-1 · actual 2-1
- Sassuolo
- 39%
- Draws
- 26%
- Torino
- 35%
Limits of the forecast
- This forecast was fitted after the match was played, by a model that had already seen the result. No forecast was stored before kickoff, so it flatters the model and should not be read as a prediction.
- Goals-only model: injuries, suspensions and lineups are not modelled.
- Promoted clubs with no Serie A history are excluded.
Match statistics
- 19Shots10
- 8On target4
- 1Big chances2
- 1.55Total xG1.50
SassuoloxG and shot data: understat.comTorino
xG Trend
xG and shot data: understat.com
| Teams | 15' | 30' | 45' | 60' | 75' | 90' | Total xG |
|---|---|---|---|---|---|---|---|
| Sassuolo | 0.08 | 0.31 | 0.91 | 1.16 | 1.25 | 1.42 | 1.55 |
| Torino | 0.34 | 0.53 | 0.87 | 1.44 | 1.44 | 1.44 | 1.50 |
How to read the xG trend
Expected goals added up as the match went on. The line steps up when a team shoots, and the size of the step is how good the chance was. A team that climbs in one jump had a single clear opening; a staircase means many small ones. Dots mark goals.
Shot Map
xG and shot data: understat.com
SassuoloTorino
GoalOn targetOff targetMarker size is xG
How to read the shot map
Every shot in the match, placed where it was struck. Each team attacks the goal on its own side. A marker's area is its xG — the chance an average player scores from there. Filled means it hit the target, a white ring means it went in. Tap or hover a shot for the detail.
Line-ups
xG and shot data: understat.com
Head to Head
- Sassuolo
- 5
- Draws
- 9
- Torino
- 9
23 Serie A meetings, 2014/15 to 2026/27. The ten most recent are listed.
The letter on each result is how Sassuolo finished it:WwinDdrawLdefeat
How the model works
How this is calculated
Fitted on
Limits
- This forecast was fitted after the match was played, by a model that had already seen the result. No forecast was stored before kickoff, so it flatters the model and should not be read as a prediction.
- Goals-only model: injuries, suspensions and lineups are not modelled.
- Promoted clubs with no Serie A history are excluded.