Bologna's results have picked up

Results ▲ Limited evidence Serie A Insight date · 2026-10-27 2026-08-24 ~ 2026-10-24

Is the uptick sustainable?

Over the last 4 matches points per game moved from 0.25 to 1.75 (+600%); the previous-season baseline is 1.47; 3 of 4 matches moved the same way.

Primary driver

Primary driver Finishing +0.94 Share 34% Attribution confidence Limited evidence

Over the last 4 matches, points per game moved 0.25 → 1.75; goal difference per game -0.75 → 0.25. Goals minus expected goals moved -1.12 → -0.18; finishing adds +0.94 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Points per game 0.25 1.75 +1.5 +600.0%
Goals per game 0.5 1.5 +1.0 +200.0%
Goal difference per game -0.75 0.25 +1.0 +133.3%
xGA per game 1.27 1.5 +0.23 +18.5%
Expected points per game 1.73 1.54 -0.2 -11.4%
xG per game 1.62 1.56 -0.06 -3.6%
Goals conceded 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
Finishing
Goals minus expected goals moved -1.12 → -0.18; finishing adds +0.94 goals per game.
-1.12 → -0.18
goals above expected per game
+83.8% +0.94 47%
Shot quality
Expected goals per shot moved 0.12 → 0.18; at the current shot volume this adds +0.65 goals per game.
0.12 → 0.18
expected goals per shot
+54.7% +0.65 32%
Shot volume
Shots per game moved 14.00 → 10.33; at last window's output per shot this adds -0.42 goals per game.
14.0 → 10.33
shots per game
-26.2% -0.42 21%

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 +0.02 → +0.35; goalkeeping and opponent finishing add +0.33 goals of goal difference per game. Split: goalkeeping +1.00, opponent on-target quality -0.67.
0.02 → 0.35
expected goals minus goals conceded per game
+1870.0% +0.33 44%
Shots faced
Shots faced per game moved 11.25 → 13.33; at last window's concession rate this changes goal difference by -0.23 per game.
11.25 → 13.33
shots faced per game
+18.5% -0.23 31%
Shot quality faced
Expected goals per shot faced moved 0.11 → 0.13; at the current volume this changes goal difference by -0.18 per game.
0.11 → 0.13
expected goals per shot faced
+12.0% -0.18 24%

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 %
Deep completions
Deep completions per game (attacking progression).
5.25 3.0 -2.25 -42.9%
Deep completions allowed
Deep completions allowed per game.
6.0 8.5 +2.5 +41.7%
Possession
Average possession share.
55.25 40.33 -14.92 -27.0%
Pressing intensity
Lower is more aggressive. This window: more aggressive pressing.
21.75 16.75 -5.0 -23.0%
Big chances
Big chances created per game.
2.5 3.0 +0.5 +20.0%
Set-piece threat
Set-piece expected goals per game. It accounts for -159% of the change in attacking expected goals.
0.48 0.57 +0.09 +19.1%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.8 0.72 -0.08 -9.5%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is little change in schedule difficulty. Coverage 4/4 vs 4/4.
0.13 0.12 -0.0 -1.6%
Penalty threat
Penalties can swing short windows; treat as context.
0.0 0.26 +0.26 —

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 1.75 0.25 +600%

What doesn't move in step

MetricRecent 5 Previous 5Change
xG per match 1.56 1.62 -4%
Non-penalty xG per match 1.37 1.62 -15%
Deep completions per match 3.0 5.25 -43%
Expected points per game 1.54 1.73 -11%

Possible explanations

  • Opponents faced over the last 4 matches average 1.78 xG created this season, versus 1.80 in the previous 4.
  • 1.50 goals scored against 1.56 expected over the last 4 (difference -0.06).

Limitations

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

  • League matches only (426 games analysed); domestic cups and Europe are not included.

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