Elche's results have picked up

Results ▲ Moderate evidence La Liga Insight date · 2026-10-29 2026-08-17 ~ 2026-10-24

Is the uptick sustainable?

Over the last 5 matches points per game moved from 0.40 to 1.60 (+300%); the previous-season baseline is 1.13; 4 of 5 matches moved the same way.

Primary driver

Primary driver Goalkeeping & opponent finishing +1.47 Share 37% Attribution confidence Moderate evidence

Over the last 5 matches, points per game moved 0.40 → 1.60; goal difference per game -1.40 → 0.80. Expected goals conceded minus goals conceded moved -0.37 → +1.10; goalkeeping and opponent finishing add +1.47 goals of goal difference per game. Split: goalkeeping +1.04, opponent on-target quality +0.44.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 0.4 1.6 +1.2 +300.0%
Goal difference per game -1.4 0.8 +2.2 +157.1%
Goals conceded per game 2.6 0.8 -1.8 -69.2%
Goals per game 1.2 1.6 +0.4 +33.3%
xG per game 1.5 1.13 -0.38 -24.9%
xGA per game 2.23 1.7 -0.53 -23.9%
Expected points per game 1.16 1.14 -0.02 -1.6%

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 -0.31 → +0.15; finishing adds +0.46 goals per game.
-0.3 → 0.15
goals above expected per game
+149.1% +0.46 53%
Shot quality
Expected goals per shot moved 0.13 → 0.09; at the current shot volume this adds -0.41 goals per game.
0.12 → 0.09
expected goals per shot
-26.9% -0.41 47%
Shot volume
Shots per game moved 12.00 → 12.00; at last window's output per shot this adds +0.00 goals per game.
12.0 → 12.0
shots per game
0.0% 0.0 0%

Decomposition uses 4/5 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 -0.37 → +1.10; goalkeeping and opponent finishing add +1.47 goals of goal difference per game. Split: goalkeeping +1.04, opponent on-target quality +0.44.
-0.37 → 1.1
expected goals minus goals conceded per game
+399.9% +1.47 47%
Shot quality faced
Expected goals per shot faced moved 0.18 → 0.11; at the current volume this changes goal difference by +1.02 per game.
0.18 → 0.11
expected goals per shot faced
-35.6% +1.02 33%
Shots faced
Shots faced per game moved 12.60 → 16.25; at last window's concession rate this changes goal difference by -0.65 per game.
12.6 → 16.25
shots faced per game
+29.0% -0.65 21%

Decomposition uses 4/5 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 %
Penalty threat
Penalties can swing short windows; treat as context.
0.16 0.39 +0.24 +149.4%
Big chances
Big chances created per game.
2.6 1.0 -1.6 -61.5%
Deep completions allowed
Deep completions allowed per game.
6.6 10.6 +4.0 +60.6%
Set-piece threat
Set-piece expected goals per game. It accounts for +27% of the change in attacking expected goals.
0.24 0.14 -0.1 -41.8%
Deep completions
Deep completions per game (attacking progression).
5.0 7.0 +2.0 +40.0%
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.
0.45 0.29 -0.16 -35.8%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.85 0.56 -0.29 -33.7%
Pressing intensity
Lower is more aggressive. This window: more aggressive pressing.
22.4 18.4 -4.0 -17.9%
Possession
Average possession share.
51.6 52.0 +0.4 +0.8%

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.
  • Shot detail covers 4/5 current and 5/5 comparison matches; the decomposition uses only covered matches.
  • Post-shot expected goals cover 4/5 current and 5/5 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 5 Previous 5Change
Points per game 1.6 0.4 +300%

What doesn't move in step

MetricRecent 5 Previous 5Change
xG per match 1.13 1.5 -25%
xGA per match 1.7 2.23 -24%
Non-penalty xG per match 0.83 1.36 -39%
Non-penalty xGA per match 1.55 2.08 -26%
Goals conceded per match 0.8 2.6 -69%
Expected points per game 1.14 1.16 -2%

Possible explanations

  • Opponents faced over the last 5 matches average 1.70 xG created this season, versus 2.00 in the previous 5.
  • 1.60 goals scored against 1.13 expected over the last 5 (difference +0.47).

Limitations

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

  • League matches only (200 games analysed); domestic cups and Europe are not included.

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