RB Leipzig's defensive numbers are sliding

Defense ▼ Limited evidence Bundesliga Insight date · 2026-10-23 2026-08-29 ~ 2026-10-17

Is the defense really breaking down?

Over the last 3 matches xGA per match moved from 0.86 to 3.14 (+262%); the previous-season baseline is 1.57; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot quality faced -1.62 Share 71% Attribution confidence Limited evidence

Over the last 3 matches, expected goals conceded per game moved 0.87 → 3.14. Expected goals per shot faced moved 0.07 → 0.14; at the current volume this changes goal difference by -1.62 per game.

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

Result layer

MetricPrevious RecentChange Change %
xGA per game 0.86 3.14 +2.27 +262.5%
Goals conceded per game 1.0 2.67 +1.67 +166.7%
Goal difference per game 2.0 -0.33 -2.33 -116.7%
Expected points per game 2.45 1.05 -1.41 -57.3%
Points per game 2.0 1.0 -1.0 -50.0%
Goals per game 3.0 2.33 -0.67 -22.2%
xG per game 2.6 2.12 -0.48 -18.5%

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 +0.40 → +0.21; finishing adds -0.19 goals per game.
0.4 → 0.21
goals above expected per game
-46.8% -0.18 15%
Shot volume
Shots per game moved 21.00 → 14.67; at last window's output per shot this adds -0.79 goals per game.
21.0 → 14.67
shots per game
-30.2% -0.79 62%
Shot quality
Expected goals per shot moved 0.12 → 0.14; at the current shot volume this adds +0.30 goals per game.
0.12 → 0.14
expected goals per shot
+16.7% +0.3 24%

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 -0.13 → +0.47; goalkeeping and opponent finishing add +0.61 goals of goal difference per game. Split: goalkeeping -0.13, opponent on-target quality +0.74.
-0.14 → 0.47
expected goals minus goals conceded per game
+449.3% +0.6 21%
Shot quality faced
Expected goals per shot faced moved 0.07 → 0.14; at the current volume this changes goal difference by -1.62 per game.
0.07 → 0.14
expected goals per shot faced
+106.4% -1.62 56%
Shots faced
Shots faced per game moved 12.33 → 21.67; at last window's concession rate this changes goal difference by -0.65 per game.
12.33 → 21.67
shots faced per game
+75.7% -0.66 23%

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 a harder schedule. Coverage 3/3 vs 3/3.
-0.78 1.24 +2.02 +259.4%
Deep completions allowed
Deep completions allowed per game.
6.0 12.0 +6.0 +100.0%
Set-piece threat
Set-piece expected goals per game. It accounts for +102% of the change in attacking expected goals.
1.05 0.56 -0.49 -46.8%
Deep completions
Deep completions per game (attacking progression).
11.33 7.67 -3.67 -32.3%
Possession
Average possession share.
60.67 44.67 -16.0 -26.4%
Big chances
Big chances created per game.
4.0 3.0 -1.0 -25.0%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
1.81 1.45 -0.36 -19.9%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
19.0 22.33 +3.33 +17.5%

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.
  • 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
xGA per match 3.14 0.86 +262%

What doesn't move in step

MetricRecent 5 Previous 5Change
xG per match 2.12 2.6 -18%
Non-penalty xG per match 2.12 2.6 -18%
Deep completions per match 7.67 11.33 -32%
Goals per match 2.33 3.0 -22%
Expected points per game 1.05 2.45 -57%
Points per game 1.0 2.0 -50%

Possible explanations

  • Opponents faced over the last 3 matches average 2.75 xG created this season, versus 1.40 in the previous 3; a step up in opposition quality may be a factor.

Limitations

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

  • League matches only (346 games analysed); domestic cups and Europe are not included.