Marseille's results have picked up

Results ▲ Limited evidence Ligue 1 Insight date · 2026-10-27 2026-08-21 ~ 2026-10-25

Is the uptick sustainable?

Over the last 4 matches points per game moved from 0.75 to 2.25 (+200%); the previous-season baseline is 1.74; 3 of 4 matches moved the same way.

Primary driver

Primary driver Finishing +1.15 Share 35% Attribution confidence Limited evidence

Over the last 4 matches, points per game moved 0.75 → 2.25; goal difference per game 0.00 → 1.25. Goals minus expected goals moved -0.16 → +0.99; finishing adds +1.15 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 0.75 2.25 +1.5 +200.0%
Goals per game 1.5 3.0 +1.5 +100.0%
xGA per game 1.88 2.61 +0.73 +39.2%
xG per game 1.66 2.01 +0.35 +21.4%
Goals conceded per game 1.5 1.75 +0.25 +16.7%
Expected points per game 1.27 1.17 -0.1 -8.3%
Goal difference per game 0.0 1.25 +1.25 —

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 -0.16 → +0.99; finishing adds +1.15 goals per game.
-0.16 → 0.99
goals above expected per game
+721.3% +1.15 63%
Shot quality
Expected goals per shot moved 0.12 → 0.16; at the current shot volume this adds +0.51 goals per game.
0.12 → 0.16
expected goals per shot
+33.8% +0.51 28%
Shot volume
Shots per game moved 13.50 → 12.25; at last window's output per shot this adds -0.15 goals per game.
13.5 → 12.25
shots per game
-9.3% -0.15 9%

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 +0.38 → +0.86; goalkeeping and opponent finishing add +0.49 goals of goal difference per game. Split: goalkeeping -0.29, opponent on-target quality +0.78.
0.38 → 0.86
expected goals minus goals conceded per game
+129.4% +0.48 33%
Shots faced
Shots faced per game moved 13.50 → 19.75; at last window's concession rate this changes goal difference by -0.87 per game.
13.5 → 19.75
shots faced per game
+46.3% -0.87 58%
Shot quality faced
Expected goals per shot faced moved 0.14 → 0.13; at the current volume this changes goal difference by +0.13 per game.
0.14 → 0.13
expected goals per shot faced
-4.8% +0.13 9%

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 %
Set-piece threat
Set-piece expected goals per game. It accounts for +157% of the change in attacking expected goals.
0.09 0.65 +0.56 +621.1%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is an easier schedule. Coverage 4/4 vs 4/4.
0.07 -0.12 -0.19 -270.4%
Penalty threat
Penalties can swing short windows; treat as context.
0.2 0.39 +0.2 +100.0%
Big chances
Big chances created per game.
2.75 3.5 +0.75 +27.3%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
1.22 0.93 -0.28 -23.3%
Deep completions
Deep completions per game (attacking progression).
8.75 7.25 -1.5 -17.1%
Deep completions allowed
Deep completions allowed per game.
7.5 8.5 +1.0 +13.3%
Possession
Average possession share.
60.75 53.5 -7.25 -11.9%
Pressing intensity
Lower is more aggressive. This window: little change in pressing.
23.0 23.25 +0.25 +1.1%
Red cards
Red cards change game state; treat as context.
0.0 0.25 +0.25 —

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 0.75 +200%

What doesn't move in step

MetricRecent 5 Previous 5Change
Non-penalty xG per match 1.6 1.47 +9%
Deep completions per match 7.25 8.75 -17%
Expected points per game 1.17 1.27 -8%

Possible explanations

  • Opponents faced over the last 4 matches average 1.66 xG created this season, versus 1.60 in the previous 4.
  • 3.00 goals scored against 2.01 expected over the last 4 (difference +0.99).

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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