Paderborn's attacking output has jumped

Attack ▲ Limited evidence Bundesliga Insight date · 2026-10-20 2026-08-29 ~ 2026-10-17

Can {name} keep it going?

Over the last 3 matches xG per match moved from 0.58 to 1.60 (+177%); the previous-season baseline is 1.13; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot quality +0.79 Share 77% Attribution confidence Limited evidence

Over the last 3 matches, expected goals per game moved 0.58 → 1.60. Expected goals per shot moved 0.05 → 0.10; at the current shot volume this adds +0.78 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 0.33 1.33 +1.0 +300.0%
xG per game 0.58 1.6 +1.02 +176.9%
Goal difference per game -1.33 0.0 +1.33 +100.0%
Expected points per game 0.59 0.94 +0.35 +58.2%
Goals conceded per game 1.33 1.67 +0.33 +25.0%
xGA per game 1.96 2.31 +0.35 +18.1%
Goals 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 -0.58 → +0.07; finishing adds +0.64 goals per game.
-0.58 → 0.07
goals above expected per game
+111.3% +0.64 39%
Shot quality
Expected goals per shot moved 0.05 → 0.10; at the current shot volume this adds +0.78 goals per game.
0.05 → 0.1
expected goals per shot
+96.1% +0.79 47%
Shot volume
Shots per game moved 11.33 → 16.00; at last window's output per shot this adds +0.24 goals per game.
11.33 → 16.0
shots per game
+41.2% +0.24 14%

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
Shots faced
Shots faced per game moved 17.00 → 19.67; at last window's concession rate this changes goal difference by -0.31 per game.
17.0 → 19.67
shots faced per game
+15.7% -0.31 82%
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved +0.62 → +0.64; goalkeeping and opponent finishing add +0.02 goals of goal difference per game. Split: goalkeeping -0.29, opponent on-target quality +0.31.
0.62 → 0.64
expected goals minus goals conceded per game
+3.3% +0.02 6%
Shot quality faced
Expected goals per shot faced moved 0.12 → 0.12; at the current volume this changes goal difference by -0.05 per game.
0.12 → 0.12
expected goals per shot faced
+2.1% -0.05 13%

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 %
Big chances
Big chances created per game.
0.67 3.0 +2.33 +349.8%
Set-piece threat
Set-piece expected goals per game. It accounts for +24% of the change in attacking expected goals.
0.11 0.36 +0.25 +219.6%
Deep completions allowed
Deep completions allowed per game.
6.67 19.33 +12.67 +190.0%
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.
0.93 -0.15 -1.08 -116.4%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.55 0.9 +0.35 +63.2%
Deep completions
Deep completions per game (attacking progression).
5.33 6.67 +1.33 +25.0%
Possession
Average possession share.
51.0 41.67 -9.33 -18.3%
Pressing intensity
Lower is more aggressive. This window: little change in pressing.
20.67 21.0 +0.33 +1.6%

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
xG per match 1.6 0.58 +177%

What doesn't move in step

MetricRecent 5 Previous 5Change
Non-penalty xGA per match 2.06 1.96 +5%
Goals per match 1.67 0.0 +0%

Possible explanations

  • Opponents faced over the last 3 matches average 1.89 xG created this season, versus 2.11 in the previous 3.
  • 1.67 goals scored against 1.60 expected over the last 3 (difference +0.07).

Limitations

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

  • League matches only (74 games analysed); domestic cups and Europe are not included.