Aston Villa's results have picked up

Results ▲ Limited evidence Premier League Insight date · 2026-10-20 2026-08-31 ~ 2026-10-17

Is the uptick sustainable?

Over the last 3 matches points per game moved from 0.33 to 2.33 (+600%); the previous-season baseline is 1.71; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot volume +0.95 Share 34% Attribution confidence Limited evidence

Over the last 3 matches, points per game moved 0.33 → 2.33; goal difference per game -0.67 → 0.67. Shots per game moved 9.00 → 17.50; at last window's output per shot this adds +0.95 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 0.33 2.33 +2.0 +600.0%
Goals per game 0.33 2.0 +1.67 +500.0%
Goal difference per game -0.67 0.67 +1.33 +200.0%
Expected points per game 0.86 1.79 +0.93 +107.2%
xG per game 1.0 1.88 +0.88 +87.3%
Goals conceded per game 1.0 1.33 +0.33 +33.3%
xGA per game 1.71 1.31 -0.4 -23.5%

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 volume
Shots per game moved 9.00 → 17.50; at last window's output per shot this adds +0.95 goals per game.
9.0 → 17.5
shots per game
+94.4% +0.95 81%
Finishing
Goals minus expected goals moved -0.67 → -0.46; finishing adds +0.21 goals per game.
-0.67 → -0.46
goals above expected per game
+31.2% +0.21 18%
Shot quality
Expected goals per shot moved 0.11 → 0.11; at the current shot volume this adds +0.01 goals per game.
0.11 → 0.11
expected goals per shot
+0.6% +0.01 1%

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 +0.71 → +0.10; goalkeeping and opponent finishing add -0.61 goals of goal difference per game. Split: goalkeeping -0.68, opponent on-target quality +0.07.
0.71 → 0.1
expected goals minus goals conceded per game
-85.9% -0.61 37%
Shot quality faced
Expected goals per shot faced moved 0.13 → 0.07; at the current volume this changes goal difference by +0.82 per game.
0.13 → 0.07
expected goals per shot faced
-42.8% +0.82 50%
Shots faced
Shots faced per game moved 13.33 → 15.00; at last window's concession rate this changes goal difference by -0.21 per game.
13.33 → 15.0
shots faced per game
+12.5% -0.21 13%

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 %
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.
0.25 -0.25 -0.5 -200.0%
Big chances
Big chances created per game.
1.33 3.0 +1.67 +125.1%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.94 1.91 +0.97 +103.5%
Set-piece threat
Set-piece expected goals per game. It accounts for -7% of the change in attacking expected goals.
0.1 0.04 -0.06 -61.1%
Deep completions allowed
Deep completions allowed per game.
6.67 9.33 +2.67 +40.0%
Deep completions
Deep completions per game (attacking progression).
6.67 9.0 +2.33 +35.0%
Sprints
From the Premier League physical feed only.
101.33 136.5 +35.17 +34.7%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
14.33 18.0 +3.67 +25.6%
Possession
Average possession share.
55.67 51.0 -4.67 -8.4%
Distance covered
From the Premier League physical feed only.
112.04 114.87 +2.83 +2.5%

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 cover 2/3 current and 3/3 comparison matches; running is context only and did not decide the main factor.
  • 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
Points per game 2.33 0.33 +600%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 1.31 1.71 -24%
Non-penalty xGA per match 1.31 1.71 -24%

Possible explanations

  • Opponents faced over the last 3 matches average 1.45 xG created this season, versus 1.57 in the previous 3.
  • 2.00 goals scored against 1.88 expected over the last 3 (difference +0.12).

Limitations

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

  • League matches only (349 games analysed); domestic cups and Europe are not included.