Udinese's results have dipped

Results ▼ Limited evidence Serie A Insight date · 2026-10-22 2026-08-29 ~ 2026-10-18

How deep does the dip go?

Over the last 3 matches points per game moved from 1.00 to 0.00 (-100%); the previous-season baseline is 1.32; 3 of 3 matches moved the same way.

Primary driver

Primary driver Multiple factors -1.57 Share 24% Attribution confidence Limited evidence

Over the last 3 matches, points per game moved 1.00 → 0.00; goal difference per game -0.67 → -1.67. No single factor explains more than 30% of the change; this is a multi-factor shift.

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

Result layer

MetricPrevious RecentChange Change %
Goal difference per game -0.67 -1.67 -1.0 -150.0%
Points per game 1.0 0.0 -1.0 -100.0%
Goals per game 2.33 0.33 -2.0 -85.7%
Expected points per game 0.48 0.86 +0.37 +76.9%
Goals conceded per game 3.0 2.0 -1.0 -33.3%
xG per game 1.04 1.0 -0.03 -3.2%
xGA per game 2.52 2.46 -0.06 -2.4%

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
Finishing
Goals minus expected goals moved +1.30 → -0.08; finishing adds -1.38 goals per game.
1.29 → -0.08
goals above expected per game
-106.4% -1.38 46%
Shot quality
Expected goals per shot moved 0.11 → 0.04; at the current shot volume this adds -1.03 goals per game.
0.11 → 0.04
expected goals per shot
-63.8% -1.03 35%
Shot volume
Shots per game moved 9.33 → 14.50; at last window's output per shot this adds +0.57 goals per game.
9.33 → 14.5
shots per game
+55.4% +0.57 19%

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 -0.48 → +0.87; goalkeeping and opponent finishing add +1.35 goals of goal difference per game. Split: goalkeeping +0.06, opponent on-target quality +1.29.
-0.48 → 0.87
expected goals minus goals conceded per game
+281.8% +1.35 37%
Shot quality faced
Expected goals per shot faced moved 0.12 → 0.23; at the current volume this changes goal difference by -1.57 per game.
0.12 → 0.23
expected goals per shot faced
+87.6% -1.57 43%
Shots faced
Shots faced per game moved 20.33 → 14.50; at last window's concession rate this changes goal difference by +0.72 per game.
20.33 → 14.5
shots faced per game
-28.7% +0.72 20%

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.
0.8 -0.58 -1.38 -172.4%
Deep completions allowed
Deep completions allowed per game.
11.0 3.0 -8.0 -72.7%
Big chances
Big chances created per game.
1.33 0.5 -0.83 -62.5%
Possession
Average possession share.
41.0 64.5 +23.5 +57.3%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.75 0.46 -0.29 -39.0%
Set-piece threat
Set-piece expected goals per game.
0.17 0.16 -0.01 -5.7%
Pressing intensity
Lower is more aggressive. This window: little change in pressing.
17.33 17.67 +0.33 +1.9%
Deep completions
Deep completions per game (attacking progression).
6.0 6.0 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 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 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 3 Previous 3Change
Points per game 0.0 1.0 -100%

What doesn't move in step

MetricRecent 5 Previous 5Change
xG per match 1.0 1.04 -3%
xGA per match 2.46 2.52 -2%
Non-penalty xG per match 1.0 1.04 -3%
Non-penalty xGA per match 2.46 2.52 -2%
Expected points per game 0.86 0.48 +77%

Possible explanations

  • Opponents faced over the last 3 matches average 1.33 xG created this season, versus 2.25 in the previous 3; a softer schedule may be a factor.
  • 0.33 goals scored against 1.01 expected over the last 3 (difference -0.67).

Limitations

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

  • League matches only (463 games analysed); domestic cups and Europe are not included.