Atletico Madrid's attacking output has jumped

Attack ▲ Moderate evidence La Liga Insight date · 2026-10-21 2026-08-23 ~ 2026-10-17

Can {name} keep it going?

Over the last 4 matches xG per match moved from 1.20 to 2.83 (+136%); the previous-season baseline is 1.79; 4 of 4 matches moved the same way.

Primary driver

Primary driver Shot quality +1.08 Share 66% Attribution confidence Moderate evidence

Over the last 4 matches, expected goals per game moved 1.20 → 2.83. Expected goals per shot moved 0.08 → 0.13; at the current shot volume this adds +1.08 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Goal difference per game 0.5 1.75 +1.25 +250.0%
xG per game 1.2 2.83 +1.63 +135.9%
Expected points per game 1.18 2.55 +1.37 +116.4%
Points per game 1.75 3.0 +1.25 +71.4%
Goals conceded per game 1.5 0.5 -1.0 -66.7%
xGA per game 1.78 0.66 -1.12 -63.0%
Goals per game 2.0 2.25 +0.25 +12.5%

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 +0.80 → -0.58; finishing adds -1.38 goals per game.
0.8 → -0.58
goals above expected per game
-172.8% -1.38 46%
Shot quality
Expected goals per shot moved 0.08 → 0.13; at the current shot volume this adds +1.08 goals per game.
0.08 → 0.13
expected goals per shot
+61.9% +1.08 36%
Shot volume
Shots per game moved 14.75 → 21.50; at last window's output per shot this adds +0.55 goals per game.
14.75 → 21.5
shots per game
+45.8% +0.55 18%

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
Shots faced
Shots faced per game moved 13.00 → 7.25; at last window's concession rate this changes goal difference by +0.79 per game.
13.0 → 7.25
shots faced per game
-44.2% +0.79 64%
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved +0.28 → +0.16; goalkeeping and opponent finishing add -0.12 goals of goal difference per game. Split: goalkeeping +0.29, opponent on-target quality -0.41.
0.28 → 0.16
expected goals minus goals conceded per game
-42.8% -0.12 10%
Shot quality faced
Expected goals per shot faced moved 0.14 → 0.09; at the current volume this changes goal difference by +0.33 per game.
0.14 → 0.09
expected goals per shot faced
-33.6% +0.33 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 %
Big chances
Big chances created per game.
1.25 4.75 +3.5 +280.0%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.8 2.0 +1.2 +149.3%
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.
0.14 0.36 +0.21 +147.6%
Red cards
Red cards change game state; treat as context.
0.25 0.0 -0.25 -100.0%
Deep completions allowed
Deep completions allowed per game.
6.75 1.75 -5.0 -74.1%
Deep completions
Deep completions per game (attacking progression).
9.25 13.25 +4.0 +43.2%
Set-piece threat
Set-piece expected goals per game. It accounts for +5% of the change in attacking expected goals.
0.2 0.28 +0.09 +42.7%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
19.5 25.25 +5.75 +29.5%
Possession
Average possession share.
54.5 66.75 +12.25 +22.5%
Penalty threat
Penalties can swing short windows; treat as context.
0.2 0.2 0.0 0.0%

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
xG per match 2.83 1.2 +136%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 0.66 1.78 -63%
Non-penalty xGA per match 0.47 1.4 -66%
Deep completions allowed per match 1.75 6.75 -74%
Goals conceded per match 0.5 1.5 -67%

Possible explanations

  • Opponents faced over the last 4 matches average 1.68 xG created this season, versus 1.74 in the previous 4.
  • 2.25 goals scored against 2.83 expected over the last 4 (difference -0.58).

Limitations

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

  • League matches only (465 games analysed); domestic cups and Europe are not included.