Celta Vigo's results have picked up

Results ▲ Moderate evidence La Liga Insight date · 2026-10-22 2026-08-27 ~ 2026-10-18

Is the uptick sustainable?

Over the last 4 matches points per game moved from 0.50 to 2.00 (+300%); the previous-season baseline is 1.42; 4 of 4 matches moved the same way.

Primary driver

Primary driver Shot quality faced +1.19 Share 49% Attribution confidence Moderate evidence

Over the last 4 matches, points per game moved 0.50 → 2.00; goal difference per game -0.75 → 1.50. Expected goals per shot faced moved 0.13 → 0.05; at the current volume this changes goal difference by +1.19 per game.

Current season: last 4 vs previous 4; baseline: previous season

Result layer

MetricPrevious RecentChange Change %
Goal difference per game -0.75 1.5 +2.25 +300.0%
Points per game 0.5 2.0 +1.5 +300.0%
Goals per game 0.5 2.0 +1.5 +300.0%
Expected points per game 0.67 1.65 +0.98 +146.3%
Goals conceded per game 1.25 0.5 -0.75 -60.0%
xGA per game 1.88 0.79 -1.08 -57.7%
xG per game 0.84 1.22 +0.38 +45.6%

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 -0.34 → +0.11; finishing adds +0.45 goals per game.
-0.34 → 0.11
goals above expected per game
+132.9% +0.45 70%
Shot volume
Shots per game moved 8.75 → 10.00; at last window's output per shot this adds +0.12 goals per game.
8.75 → 10.0
shots per game
+14.3% +0.12 19%
Shot quality
Expected goals per shot moved 0.10 → 0.09; at the current shot volume this adds -0.07 goals per game.
0.1 → 0.09
expected goals per shot
-7.6% -0.07 11%

Decomposition uses 3/4 current and 4/4 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 +0.63 → +0.15; goalkeeping and opponent finishing add -0.48 goals of goal difference per game. Split: goalkeeping +0.13, opponent on-target quality -0.61.
0.63 → 0.15
expected goals minus goals conceded per game
-75.8% -0.48 26%
Shot quality faced
Expected goals per shot faced moved 0.13 → 0.05; at the current volume this changes goal difference by +1.19 per game.
0.13 → 0.06
expected goals per shot faced
-59.3% +1.19 66%
Shots faced
Shots faced per game moved 14.00 → 15.00; at last window's concession rate this changes goal difference by -0.13 per game.
14.0 → 15.0
shots faced per game
+7.1% -0.13 7%

Decomposition uses 3/4 current and 4/4 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 %
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.48 1.05 +0.57 +119.2%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is an easier schedule. Coverage 4/4 vs 4/4.
-0.32 -0.67 -0.36 -114.0%
Red cards
Red cards change game state; treat as context.
0.25 0.0 -0.25 -100.0%
Set-piece threat
Set-piece expected goals per game. It accounts for -14% of the change in attacking expected goals.
0.11 0.05 -0.05 -50.0%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
18.0 26.5 +8.5 +47.2%
Possession
Average possession share.
56.25 42.33 -13.92 -24.7%
Deep completions
Deep completions per game (attacking progression).
5.25 6.0 +0.75 +14.3%
Big chances
Big chances created per game.
1.5 1.33 -0.17 -11.1%
Deep completions allowed
Deep completions allowed per game.
3.75 3.75 0.0 0.0%

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 8 matches; using a 4-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 3/4 current and 4/4 comparison matches; the decomposition uses only covered matches.
  • Post-shot expected goals cover 3/4 current and 4/4 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 4 Previous 4Change
Points per game 2.0 0.5 +300%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 0.79 1.88 -58%
Non-penalty xGA per match 0.79 1.69 -53%
Goals conceded per match 0.5 1.25 -60%

Possible explanations

  • Opponents faced over the last 4 matches average 1.20 xG created this season, versus 1.36 in the previous 4.
  • 2.00 goals scored against 1.22 expected over the last 4 (difference +0.78).

Limitations

Based on 8 recent matches (8 with expected-goals data).

  • League matches only (465 games analysed); domestic cups and Europe are not included.