Nice's results have picked up

Results ▲ Limited evidence Ligue 1 Insight date · 2026-10-27 2026-08-22 ~ 2026-10-23

Is the uptick sustainable?

Over the last 4 matches points per game moved from 0.50 to 2.25 (+350%); the previous-season baseline is 0.94; 3 of 4 matches moved the same way.

Primary driver

Primary driver Multiple factors +1.04 Share 29% Attribution confidence Limited evidence

Over the last 4 matches, points per game moved 0.50 → 2.25; goal difference per game -1.00 → 0.50. No single factor explains more than 30% of the change; this is a multi-factor shift.

Current season: last 4 vs previous 4; baseline: previous season

Result layer

MetricPrevious RecentChange Change %
Goals per game 0.25 1.75 +1.5 +600.0%
Points per game 0.5 2.25 +1.75 +350.0%
Goal difference per game -1.0 0.5 +1.5 +150.0%
Expected points per game 0.69 1.24 +0.55 +80.2%
xG per game 0.88 1.34 +0.46 +52.0%
xGA per game 1.97 1.55 -0.42 -21.3%
Goals conceded per game 1.25 1.25 0.0 0.0%

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 -0.63 → +0.41; finishing adds +1.04 goals per game.
-0.63 → 0.41
goals above expected per game
+164.8% +1.04 59%
Shot quality
Expected goals per shot moved 0.07 → 0.13; at the current shot volume this adds +0.58 goals per game.
0.07 → 0.13
expected goals per shot
+77.3% +0.58 33%
Shot volume
Shots per game moved 12.25 → 10.50; at last window's output per shot this adds -0.13 goals per game.
12.25 → 10.5
shots per game
-14.3% -0.13 7%

Decomposition uses 4/4 current and 4/4 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 +0.72 → +0.30; goalkeeping and opponent finishing add -0.42 goals of goal difference per game. Split: goalkeeping +0.36, opponent on-target quality -0.78.
0.72 → 0.3
expected goals minus goals conceded per game
-58.5% -0.42 23%
Shot quality faced
Expected goals per shot faced moved 0.18 → 0.11; at the current volume this changes goal difference by +0.91 per game.
0.18 → 0.11
expected goals per shot faced
-37.1% +0.91 50%
Shots faced
Shots faced per game moved 11.00 → 13.75; at last window's concession rate this changes goal difference by -0.49 per game.
11.0 → 13.75
shots faced per game
+25.0% -0.49 27%

Decomposition uses 4/4 current and 4/4 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 a harder schedule. Coverage 4/4 vs 4/4.
-0.08 0.18 +0.26 +319.8%
Big chances
Big chances created per game.
1.25 2.5 +1.25 +100.0%
Set-piece threat
Set-piece expected goals per game. It accounts for -29% of the change in attacking expected goals.
0.24 0.11 -0.14 -55.6%
Deep completions allowed
Deep completions allowed per game.
5.0 7.5 +2.5 +50.0%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.76 1.09 +0.33 +43.2%
Deep completions
Deep completions per game (attacking progression).
7.5 5.5 -2.0 -26.7%
Possession
Average possession share.
60.75 47.25 -13.5 -22.2%
Pressing intensity
Lower is more aggressive. This window: more aggressive pressing.
24.5 20.5 -4.0 -16.3%

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 8 matches; using a 4-match window. Factor shares are unstable at this size.
  • Earlier current-season matches were fewer than five, so the baseline uses last season.
  • 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 4 Previous 4Change
Points per game 2.25 0.5 +350%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 1.55 1.97 -21%
Non-penalty xGA per match 1.36 1.78 -24%
Deep completions per match 5.5 7.5 -27%

Possible explanations

  • Opponents faced over the last 4 matches average 1.65 xG created this season, versus 1.45 in the previous 4.
  • 1.75 goals scored against 1.34 expected over the last 4 (difference +0.41).

Limitations

Based on 8 recent matches (8 with expected-goals data).

  • League matches only (442 games analysed); domestic cups and Europe are not included.

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