Sassuolo's results have dipped

Results ▼ Limited evidence Serie A Insight date · 2026-10-20 2026-08-29 ~ 2026-10-16

How deep does the dip go?

Over the last 3 matches points per game moved from 2.33 to 0.33 (-86%); the previous-season baseline is 1.29; 3 of 3 matches moved the same way.

Primary driver

Primary driver Finishing -0.96 Share 37% Attribution confidence Limited evidence

Over the last 3 matches, points per game moved 2.33 → 0.33; goal difference per game 0.67 → -1.00. Goals minus expected goals moved +0.89 → -0.08; finishing adds -0.97 goals per game.

Current season: last 3 vs previous 3; baseline: previous season

Result layer

MetricPrevious RecentChange Change %
Goal difference per game 0.67 -1.0 -1.67 -250.0%
Points per game 2.33 0.33 -2.0 -85.7%
Goals per game 2.33 1.33 -1.0 -42.9%
Goals conceded per game 1.67 2.33 +0.67 +40.0%
xG per game 1.45 1.81 +0.36 +25.0%
xGA per game 1.9 2.14 +0.24 +12.8%
Expected points per game 1.09 1.14 +0.05 +4.4%

Before → after at the result level; all values are per-game averages. Change % = change ÷ |previous|; shown as — when the previous value is 0. Rows are ordered by absolute change %.

Attack: where the change came from

Factor Previous → current Change % Impact on goal difference Share
Finishing
Goals minus expected goals moved +0.89 → -0.08; finishing adds -0.97 goals per game.
0.89 → -0.08
goals above expected per game
-108.9% -0.96 59%
Shot quality
Expected goals per shot moved 0.10 → 0.13; at the current shot volume this adds +0.39 goals per game.
0.1 → 0.13
expected goals per shot
+33.3% +0.4 24%
Shot volume
Shots per game moved 14.67 → 12.00; at last window's output per shot this adds -0.26 goals per game.
14.67 → 12.0
shots per game
-18.2% -0.26 16%

Decomposition uses 2/3 current and 3/3 comparison matches with shot data. Change % = change ÷ |previous|; shown as — when the previous value is 0. Rows are ordered by absolute change %.

Defense: where the change came from

Factor Previous → current Change % Impact on goal difference Share
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved +0.23 → -0.09; goalkeeping and opponent finishing add -0.32 goals of goal difference per game. Split: goalkeeping +0.45, opponent on-target quality -0.78.
0.23 → -0.09
expected goals minus goals conceded per game
-140.4% -0.33 33%
Shot quality faced
Expected goals per shot faced moved 0.11 → 0.15; at the current volume this changes goal difference by -0.58 per game.
0.11 → 0.15
expected goals per shot faced
+32.1% -0.58 59%
Shots faced
Shots faced per game moved 16.67 → 16.00; at last window's concession rate this changes goal difference by +0.08 per game.
16.67 → 16.0
shots faced per game
-4.0% +0.08 8%

Decomposition uses 2/3 current and 3/3 comparison matches with shot data. All impacts are from the team's goal-difference perspective (positive = better). Change % = change ÷ |previous|; shown as — when the previous value is 0. Rows are ordered by absolute change %.

Context factors

FactorPrevious RecentChange Change %
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is an easier schedule. Coverage 3/3 vs 3/3.
0.36 0.11 -0.25 -69.2%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
14.67 19.67 +5.0 +34.1%
Big chances
Big chances created per game.
2.0 1.5 -0.5 -25.0%
Deep completions
Deep completions per game (attacking progression).
9.0 7.0 -2.0 -22.2%
Possession
Average possession share.
42.0 49.5 +7.5 +17.9%
Deep completions allowed
Deep completions allowed per game.
6.67 7.33 +0.67 +10.0%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
1.3 1.35 +0.05 +3.9%
Set-piece threat
Set-piece expected goals per game. It accounts for +1% of the change in attacking expected goals.
0.2 0.21 +0.01 +2.5%

Context only — not added into the primary-driver calculation, to avoid double counting. Change % = change ÷ |previous|; shown as — when the previous value is 0. Rows are ordered by absolute change %.

Data gaps

  • Current-season sample is only 6 matches; using a 3-match window. Factor shares are unstable at this size.
  • Earlier current-season matches were fewer than five, so the baseline uses last season.
  • Shot detail covers 2/3 current and 3/3 comparison matches; the decomposition uses only covered matches.
  • Post-shot expected goals cover 2/3 current and 3/3 comparison matches; the goalkeeper/opponent-finishing split is omitted when incomplete.
  • Running and sprint data are only available for the Premier League; running did not enter this attribution.
  • The six additive factors explain goal difference within the shot-data sample; points also depend on draw/win margins, game state and match randomness.
  • Injuries, rotation and fixture congestion are not included in the attribution.

The evidence

MetricRecent 3 Previous 3Change
Points per game 0.33 2.33 -86%

What doesn't move in step

MetricRecent 5 Previous 5Change
xG per match 1.81 1.45 +25%
xGA per match 2.14 1.9 +13%
Non-penalty xG per match 1.81 1.45 +25%
Non-penalty xGA per match 1.89 1.9 -1%
Deep completions allowed per match 7.33 6.67 +10%
Goals conceded per match 2.33 1.67 +40%
Expected points per game 1.14 1.09 +4%

Possible explanations

  • Opponents faced over the last 3 matches average 1.86 xG created this season, versus 1.52 in the previous 3; a step up in opposition quality may be a factor.
  • 1.33 goals scored against 1.81 expected over the last 3 (difference -0.48).

Limitations

Based on 6 recent matches (6 with expected-goals data).

  • League matches only (425 games analysed); domestic cups and Europe are not included.