Hamburger SV's attacking output has jumped

Attack ▲ Limited evidence Bundesliga Insight date · 2026-10-22 2026-08-29 ~ 2026-10-17

Can {name} keep it going?

Over the last 3 matches xG per match moved from 0.62 to 1.75 (+181%); the previous-season baseline is 1.29; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot quality +0.51 Share 53% Attribution confidence Limited evidence

Over the last 3 matches, expected goals per game moved 0.62 → 1.75. Expected goals per shot moved 0.07 → 0.11; at the current shot volume this adds +0.51 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
xG per game 0.62 1.75 +1.13 +181.0%
Expected points per game 0.49 1.34 +0.85 +173.3%
Goal difference per game -4.0 1.0 +5.0 +125.0%
Goals conceded per game 4.0 1.0 -3.0 -75.0%
xGA per game 2.35 1.91 -0.45 -18.9%
Points per game 0.0 3.0 +3.0 —
Goals per game 0.0 2.0 +2.0 —

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 -0.62 → +0.41; finishing adds +1.03 goals per game.
-0.62 → 0.41
goals above expected per game
+165.7% +1.03 52%
Shot volume
Shots per game moved 8.67 → 15.00; at last window's output per shot this adds +0.46 goals per game.
8.67 → 15.0
shots per game
+73.1% +0.46 23%
Shot quality
Expected goals per shot moved 0.07 → 0.11; at the current shot volume this adds +0.51 goals per game.
0.07 → 0.11
expected goals per shot
+47.3% +0.51 26%

Decomposition uses 2/3 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 -1.65 → +0.78; goalkeeping and opponent finishing add +2.43 goals of goal difference per game. Split: goalkeeping +0.79, opponent on-target quality +1.64.
-1.65 → 0.78
expected goals minus goals conceded per game
+147.6% +2.43 70%
Shot quality faced
Expected goals per shot faced moved 0.13 → 0.09; at the current volume this changes goal difference by +0.80 per game.
0.13 → 0.09
expected goals per shot faced
-31.0% +0.8 23%
Shots faced
Shots faced per game moved 18.67 → 20.50; at last window's concession rate this changes goal difference by -0.23 per game.
18.67 → 20.5
shots faced per game
+9.8% -0.23 7%

Decomposition uses 2/3 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 %
Set-piece threat
Set-piece expected goals per game. It accounts for +59% of the change in attacking expected goals.
0.09 0.75 +0.66 +735.6%
Big chances
Big chances created per game.
0.67 3.5 +2.83 +424.7%
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.
0.76 -0.04 -0.8 -105.4%
Deep completions
Deep completions per game (attacking progression).
4.33 3.0 -1.33 -30.8%
Possession
Average possession share.
45.0 35.0 -10.0 -22.2%
Deep completions allowed
Deep completions allowed per game.
11.33 9.67 -1.67 -14.7%
Pressing intensity
Lower is more aggressive. This window: more aggressive pressing.
20.67 17.67 -3.0 -14.5%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.65 0.64 -0.01 -1.4%

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 2/3 current and 3/3 comparison matches; the decomposition uses only covered matches.
  • Post-shot expected goals cover 2/3 current and 3/3 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 1.75 0.62 +181%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 1.91 2.35 -19%
Non-penalty xGA per match 1.91 2.35 -19%
Deep completions per match 3.0 4.33 -31%
Deep completions allowed per match 9.67 11.33 -15%
Goals per match 2.0 0.0 +0%
Goals conceded per match 1.0 4.0 -75%
Points per game 3.0 0.0 +0%

Possible explanations

  • Opponents faced over the last 3 matches average 2.04 xG created this season, versus 2.26 in the previous 3.
  • 2.00 goals scored against 1.75 expected over the last 3 (difference +0.25).

Limitations

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

  • League matches only (176 games analysed); domestic cups and Europe are not included.