Augsburg's attacking output has jumped

Attack ▲ Limited evidence Bundesliga Insight date · 2026-10-27 2026-09-06 ~ 2026-10-24

Can {name} keep it going?

Over the last 3 matches xG per match moved from 1.01 to 2.57 (+155%); the previous-season baseline is 1.51; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot volume +0.93 Share 65% Attribution confidence Limited evidence

Over the last 3 matches, expected goals per game moved 1.01 → 2.57. Shots per game moved 12.50 → 22.67; at last window's output per shot this adds +0.93 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
xG per game 1.01 2.57 +1.56 +154.7%
Goal difference per game 0.67 -0.33 -1.0 -150.0%
Expected points per game 0.59 1.24 +0.65 +109.7%
Points per game 1.33 0.67 -0.67 -50.0%
xGA per game 2.23 3.14 +0.91 +40.6%
Goals per game 2.67 2.0 -0.67 -25.0%
Goals conceded per game 2.0 2.33 +0.33 +16.7%

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 +1.86 → -0.57; finishing adds -2.43 goals per game.
1.86 → -0.57
goals above expected per game
-130.8% -2.43 63%
Shot volume
Shots per game moved 12.50 → 22.67; at last window's output per shot this adds +0.93 goals per game.
12.5 → 22.67
shots per game
+81.3% +0.93 24%
Shot quality
Expected goals per shot moved 0.09 → 0.11; at the current shot volume this adds +0.50 goals per game.
0.09 → 0.11
expected goals per shot
+24.0% +0.5 13%

Decomposition uses 3/3 current and 2/3 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
Shot quality faced
Expected goals per shot faced moved 0.08 → 0.17; at the current volume this changes goal difference by -1.62 per game.
0.08 → 0.17
expected goals per shot faced
+106.4% -1.62 67%
Shots faced
Shots faced per game moved 26.50 → 18.33; at last window's concession rate this changes goal difference by +0.68 per game.
26.5 → 18.33
shots faced per game
-30.8% +0.68 28%
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved +0.70 → +0.81; goalkeeping and opponent finishing add +0.11 goals of goal difference per game. Split: goalkeeping -0.45, opponent on-target quality +0.56.
0.7 → 0.81
expected goals minus goals conceded per game
+15.4% +0.11 4%

Decomposition uses 3/3 current and 2/3 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.
0.06 0.22 +0.17 +303.6%
Set-piece threat
Set-piece expected goals per game. It accounts for +31% of the change in attacking expected goals.
0.17 0.67 +0.49 +280.6%
Big chances
Big chances created per game.
1.0 3.0 +2.0 +200.0%
Deep completions
Deep completions per game (attacking progression).
4.67 11.0 +6.33 +135.7%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.97 1.57 +0.61 +62.5%
Deep completions allowed
Deep completions allowed per game.
17.67 9.67 -8.0 -45.3%
Possession
Average possession share.
38.5 52.0 +13.5 +35.1%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
16.33 21.33 +5.0 +30.6%
Penalty threat
Penalties can swing short windows; treat as context.
0.0 0.53 +0.53 —
Red cards
Red cards change game state; treat as context.
0.0 0.33 +0.33 —

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.
  • Shot detail covers 3/3 current and 2/3 comparison matches; the decomposition uses only covered matches.
  • Post-shot expected goals cover 3/3 current and 2/3 comparison matches; the goalkeeper/opponent-finishing split is omitted when incomplete.
  • 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 2.57 1.01 +155%

What doesn't move in step

MetricRecent 5 Previous 5Change
Deep completions allowed per match 9.67 17.67 -45%
Goals per match 2.0 2.67 -25%
Points per game 0.67 1.33 -50%

Possible explanations

  • Opponents faced over the last 3 matches average 2.15 xG created this season, versus 1.89 in the previous 3.
  • 2.00 goals scored against 2.57 expected over the last 3 (difference -0.57).

Limitations

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

  • League matches only (415 games analysed); domestic cups and Europe are not included.

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