Paris Saint Germain's results have picked up

Results ▲ Limited evidence Ligue 1 Insight date · 2026-10-22 2026-08-28 ~ 2026-10-17

Is the uptick sustainable?

Over the last 3 matches points per game moved from 1.33 to 3.00 (+125%); the previous-season baseline is 2.23; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot quality +1.37 Share 32% Attribution confidence Limited evidence

Over the last 3 matches, points per game moved 1.33 → 3.00; goal difference per game 0.00 → 1.67. Expected goals per shot moved 0.10 → 0.16; at the current shot volume this adds +1.37 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 1.33 3.0 +1.67 +125.0%
Goals per game 1.33 2.67 +1.33 +100.0%
xG per game 1.88 3.75 +1.88 +99.7%
xGA per game 1.0 1.8 +0.8 +79.8%
Goals conceded per game 1.33 1.0 -0.33 -25.0%
Expected points per game 1.98 2.43 +0.45 +22.4%
Goal difference per game 0.0 1.67 +1.67 —

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 -0.55 → -1.09; finishing adds -0.54 goals per game.
-0.55 → -1.09
goals above expected per game
-99.1% -0.54 22%
Shot quality
Expected goals per shot moved 0.10 → 0.16; at the current shot volume this adds +1.37 goals per game.
0.1 → 0.16
expected goals per shot
+57.5% +1.37 57%
Shot volume
Shots per game moved 18.67 → 23.67; at last window's output per shot this adds +0.50 goals per game.
18.67 → 23.67
shots per game
+26.8% +0.5 21%

Decomposition uses 3/3 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 -0.33 → +0.80; goalkeeping and opponent finishing add +1.13 goals of goal difference per game. Split: goalkeeping +0.37, opponent on-target quality +0.77.
-0.33 → 0.8
expected goals minus goals conceded per game
+342.5% +1.13 59%
Shots faced
Shots faced per game moved 9.67 → 13.33; at last window's concession rate this changes goal difference by -0.38 per game.
9.67 → 13.33
shots faced per game
+37.9% -0.38 20%
Shot quality faced
Expected goals per shot faced moved 0.10 → 0.14; at the current volume this changes goal difference by -0.42 per game.
0.1 → 0.14
expected goals per shot faced
+30.4% -0.42 22%

Decomposition uses 3/3 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.
0.24 -0.66 -0.9 -373.3%
Set-piece threat
Set-piece expected goals per game. It accounts for +34% of the change in attacking expected goals.
0.49 1.13 +0.64 +128.7%
Big chances
Big chances created per game.
3.67 6.67 +3.0 +81.8%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
1.11 1.97 +0.85 +76.9%
Pressing intensity
Lower is more aggressive. This window: more aggressive pressing.
26.33 16.33 -10.0 -38.0%
Deep completions allowed
Deep completions allowed per game.
3.67 4.67 +1.0 +27.3%
Deep completions
Deep completions per game (attacking progression).
12.67 15.0 +2.33 +18.4%
Possession
Average possession share.
66.67 69.0 +2.33 +3.5%
Penalty threat
Penalties can swing short windows; treat as context.
0.0 0.79 +0.79 —

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.
  • 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 3.0 1.33 +125%

What doesn't move in step

MetricRecent 5 Previous 5Change
Goals conceded per match 1.0 1.33 -25%

Possible explanations

  • Opponents faced over the last 3 matches average 1.51 xG created this season, versus 1.63 in the previous 3.
  • 2.67 goals scored against 3.75 expected over the last 3 (difference -1.09).

Limitations

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

  • League matches only (440 games analysed); domestic cups and Europe are not included.