Osasuna's defensive numbers are sliding

Defense ▼ Limited evidence La Liga Insight date · 2026-10-27 2026-08-27 ~ 2026-10-18

Is the defense really breaking down?

Over the last 4 matches xGA per match moved from 1.05 to 2.34 (+123%); the previous-season baseline is 1.36; 3 of 4 matches moved the same way.

Primary driver

Primary driver Shots faced -1.33 Share 82% Attribution confidence Limited evidence

Over the last 4 matches, expected goals conceded per game moved 1.05 → 2.34. Shots faced per game moved 8.25 → 18.67; at last window's concession rate this changes goal difference by -1.33 per game.

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

Result layer

MetricPrevious RecentChange Change %
xGA per game 1.05 2.34 +1.29 +122.8%
Goal difference per game -0.75 -1.25 -0.5 -66.7%
Expected points per game 1.78 1.09 -0.69 -38.6%
Points per game 1.5 1.0 -0.5 -33.3%
Goals conceded per game 2.0 2.5 +0.5 +25.0%
xG per game 1.59 1.47 -0.12 -7.5%
Goals per game 1.25 1.25 0.0 0.0%

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
Shot volume
Shots per game moved 10.25 → 11.67; at last window's output per shot this adds +0.22 goals per game.
10.25 → 11.67
shots per game
+13.8% +0.22 55%
Shot quality
Expected goals per shot moved 0.15 → 0.14; at the current shot volume this adds -0.16 goals per game.
0.15 → 0.14
expected goals per shot
-8.8% -0.16 40%
Finishing
Goals minus expected goals moved -0.34 → -0.32; finishing adds +0.02 goals per game.
-0.34 → -0.32
goals above expected per game
+6.6% +0.02 6%

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
Shots faced
Shots faced per game moved 8.25 → 18.67; at last window's concession rate this changes goal difference by -1.33 per game.
8.25 → 18.67
shots faced per game
+126.3% -1.33 59%
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved -0.95 → -0.33; goalkeeping and opponent finishing add +0.62 goals of goal difference per game. Split: goalkeeping +0.06, opponent on-target quality +0.56.
-0.95 → -0.33
expected goals minus goals conceded per game
+65.5% +0.62 28%
Shot quality faced
Expected goals per shot faced moved 0.13 → 0.14; at the current volume this changes goal difference by -0.29 per game.
0.13 → 0.14
expected goals per shot faced
+12.3% -0.29 13%

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 %
Set-piece threat
Set-piece expected goals per game. It accounts for -928% of the change in attacking expected goals.
0.29 1.4 +1.11 +383.7%
Deep completions allowed
Deep completions allowed per game.
3.25 8.75 +5.5 +169.2%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is a harder schedule. Coverage 4/4 vs 4/4.
-0.29 -0.09 +0.21 +70.7%
Penalty threat
Penalties can swing short windows; treat as context.
0.59 0.26 -0.33 -55.5%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.86 0.65 -0.21 -24.3%
Big chances
Big chances created per game.
2.5 2.0 -0.5 -20.0%
Possession
Average possession share.
51.0 41.33 -9.67 -19.0%
Deep completions
Deep completions per game (attacking progression).
4.0 4.75 +0.75 +18.8%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
22.75 25.25 +2.5 +11.0%

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
xGA per match 2.34 1.05 +123%

What doesn't move in step

MetricRecent 5 Previous 5Change
xG per match 1.47 1.59 -8%
Expected points per game 1.09 1.78 -39%
Points per game 1.0 1.5 -33%

Possible explanations

  • Opponents faced over the last 4 matches average 1.66 xG created this season, versus 1.09 in the previous 4; a step up in opposition quality may be a factor.

Limitations

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

  • League matches only (313 games analysed); domestic cups and Europe are not included.

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