Monza's defensive numbers are sliding

Defense ▼ Limited evidence Serie A Insight date · 2026-10-23 2026-08-22 ~ 2026-10-11

Is the defense really breaking down?

Over the last 3 matches xGA per match moved from 1.06 to 2.15 (+102%); the previous-season baseline is 1.72; 3 of 3 matches moved the same way.

Primary driver

Primary driver Shot quality faced -0.89 Share 87% Attribution confidence Limited evidence

Over the last 3 matches, expected goals conceded per game moved 1.06 → 2.15. Expected goals per shot faced moved 0.10 → 0.17; at the current volume this changes goal difference by -0.89 per game.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 0.33 1.0 +0.67 +200.0%
xGA per game 1.06 2.15 +1.08 +102.2%
Goal difference per game -1.33 -0.67 +0.67 +50.0%
Expected points per game 1.87 1.28 -0.59 -31.6%
Goals per game 1.33 1.67 +0.33 +25.0%
xG per game 1.74 2.0 +0.26 +14.9%
Goals conceded per game 2.67 2.33 -0.33 -12.5%

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
Finishing
Goals minus expected goals moved -0.41 → -0.69; finishing adds -0.29 goals per game.
-0.41 → -0.69
goals above expected per game
-70.9% -0.29 33%
Shot volume
Shots per game moved 12.67 → 16.50; at last window's output per shot this adds +0.53 goals per game.
12.67 → 16.5
shots per game
+30.3% +0.53 59%
Shot quality
Expected goals per shot moved 0.14 → 0.13; at the current shot volume this adds -0.07 goals per game.
0.14 → 0.13
expected goals per shot
-3.2% -0.07 8%

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
Shot quality faced
Expected goals per shot faced moved 0.10 → 0.17; at the current volume this changes goal difference by -0.89 per game.
0.1 → 0.17
expected goals per shot faced
+74.5% -0.89 52%
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved -1.60 → -0.92; goalkeeping and opponent finishing add +0.69 goals of goal difference per game. Split: goalkeeping +0.43, opponent on-target quality +0.26.
-1.6 → -0.92
expected goals minus goals conceded per game
+42.9% +0.69 40%
Shots faced
Shots faced per game moved 10.67 → 12.00; at last window's concession rate this changes goal difference by -0.13 per game.
10.67 → 12.0
shots faced per game
+12.5% -0.13 8%

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 %
Set-piece threat
Set-piece expected goals per game. It accounts for +210% of the change in attacking expected goals.
0.15 0.7 +0.55 +352.9%
Deep completions
Deep completions per game (attacking progression).
3.33 6.67 +3.33 +100.0%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is little change in schedule difficulty. Coverage 3/3 vs 3/3.
-0.29 -0.17 +0.12 +41.0%
Big chances
Big chances created per game.
3.67 5.0 +1.33 +36.4%
Deep completions allowed
Deep completions allowed per game.
8.67 6.33 -2.33 -26.9%
Possession
Average possession share.
45.0 48.0 +3.0 +6.7%
Pressing intensity
Lower is more aggressive. This window: little change in pressing.
19.67 18.67 -1.0 -5.1%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
1.4 1.44 +0.04 +2.9%
Red cards
Red cards change game state; treat as context.
0.0 0.5 +0.5 —

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 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
xGA per match 2.15 1.06 +102%

What doesn't move in step

MetricRecent 5 Previous 5Change
Non-penalty xG per match 1.75 1.74 +0%
Deep completions allowed per match 6.33 8.67 -27%
Goals conceded per match 2.33 2.67 -12%
Expected points per game 1.28 1.87 -32%

Possible explanations

  • Opponents faced over the last 3 matches average 1.73 xG created this season, versus 1.70 in the previous 3.

Limitations

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

  • League matches only (120 games analysed); domestic cups and Europe are not included.