Valencia's attacking output has jumped

Attack ▲ Moderate evidence La Liga Insight date · 2026-11-02 2026-08-25 ~ 2026-11-01

Can {name} keep it going?

Over the last 5 matches xG per match moved from 0.75 to 1.57 (+110%); the previous-season baseline is 1.42; 5 of 5 matches moved the same way.

Primary driver

Primary driver Shot quality +0.56 Share 68% Attribution confidence Moderate evidence

Over the last 5 matches, expected goals per game moved 0.75 → 1.57. Expected goals per shot moved 0.08 → 0.13; at the current shot volume this adds +0.56 goals per game.

Current season: last 5 vs previous 5; baseline: previous season

Result layer

MetricPrevious RecentChange Change %
Goals per game 0.4 1.2 +0.8 +200.0%
xG per game 0.75 1.57 +0.82 +110.1%
Expected points per game 0.78 1.5 +0.72 +93.3%
Goal difference per game -1.6 -0.2 +1.4 +87.5%
Points per game 0.6 1.0 +0.4 +66.7%
Goals conceded per game 2.0 1.4 -0.6 -30.0%
xGA per game 1.96 1.41 -0.56 -28.4%

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
Shot quality
Expected goals per shot moved 0.08 → 0.13; at the current shot volume this adds +0.56 goals per game.
0.08 → 0.13
expected goals per shot
+55.9% +0.56 66%
Shot volume
Shots per game moved 9.20 → 12.40; at last window's output per shot this adds +0.26 goals per game.
9.2 → 12.4
shots per game
+34.8% +0.26 31%
Finishing
Goals minus expected goals moved -0.35 → -0.37; finishing adds -0.02 goals per game.
-0.35 → -0.37
goals above expected per game
-7.0% -0.03 3%

Decomposition uses 5/5 current and 5/5 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 -0.04 → +0.01; goalkeeping and opponent finishing add +0.04 goals of goal difference per game. Split: goalkeeping +0.39, opponent on-target quality -0.34.
-0.04 → 0.01
expected goals minus goals conceded per game
+113.5% +0.04 5%
Shot quality faced
Expected goals per shot faced moved 0.12 → 0.08; at the current volume this changes goal difference by +0.73 per game.
0.12 → 0.08
expected goals per shot faced
-34.2% +0.73 77%
Shots faced
Shots faced per game moved 15.80 → 17.20; at last window's concession rate this changes goal difference by -0.17 per game.
15.8 → 17.2
shots faced per game
+8.9% -0.17 18%

Decomposition uses 5/5 current and 5/5 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.
1.0 2.6 +1.6 +160.0%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is an easier schedule. Coverage 5/5 vs 5/5.
0.49 -0.1 -0.59 -120.4%
Deep completions
Deep completions per game (attacking progression).
2.8 6.0 +3.2 +114.3%
Set-piece threat
Set-piece expected goals per game. It accounts for +9% of the change in attacking expected goals.
0.1 0.17 +0.07 +72.4%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.73 1.03 +0.29 +40.3%
Deep completions allowed
Deep completions allowed per game.
10.0 8.0 -2.0 -20.0%
Possession
Average possession share.
47.0 41.2 -5.8 -12.3%
Pressing intensity
Lower is more aggressive. This window: little change in pressing.
16.4 17.4 +1.0 +6.1%
Red cards
Red cards change game state; treat as context.
0.0 0.2 +0.2 —
Penalty threat
Penalties can swing short windows; treat as context.
0.0 0.16 +0.16 —

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

  • 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 5 Previous 5Change
xG per match 1.57 0.75 +110%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 1.41 1.96 -28%
Non-penalty xGA per match 1.26 1.96 -36%
Deep completions allowed per match 8.0 10.0 -20%
Goals conceded per match 1.4 2.0 -30%

Possible explanations

  • Opponents faced over the last 5 matches average 1.62 xG created this season, versus 1.94 in the previous 5; a softer schedule may be a factor.
  • 1.20 goals scored against 1.57 expected over the last 5 (difference -0.37).

Limitations

Based on 10 recent matches (10 with expected-goals data).

  • League matches only (467 games analysed); domestic cups and Europe are not included.

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