Torino's results have picked up

Results ▲ Moderate evidence Serie A Insight date · 2026-10-27 2026-08-23 ~ 2026-10-23

Is the uptick sustainable?

Over the last 4 matches points per game moved from 0.75 to 2.50 (+233%); the previous-season baseline is 1.18; 4 of 4 matches moved the same way.

Primary driver

Primary driver Finishing +0.97 Share 34% Attribution confidence Moderate evidence

Over the last 4 matches, points per game moved 0.75 → 2.50; goal difference per game -0.75 → 1.25. Goals minus expected goals moved -0.03 → +0.95; finishing adds +0.98 goals per game.

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

Result layer

MetricPrevious RecentChange Change %
Goal difference per game -0.75 1.25 +2.0 +266.7%
Points per game 0.75 2.5 +1.75 +233.3%
Expected points per game 0.84 1.98 +1.13 +134.1%
Goals per game 1.0 2.25 +1.25 +125.0%
xGA per game 1.75 0.75 -1.0 -57.2%
xG per game 1.03 1.53 +0.5 +48.7%
Goals conceded per game 1.75 1.0 -0.75 -42.9%

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 -0.03 → +0.95; finishing adds +0.98 goals per game.
-0.03 → 0.95
goals above expected per game
+3515.0% +0.97 58%
Shot volume
Shots per game moved 8.25 → 13.00; at last window's output per shot this adds +0.59 goals per game.
8.25 → 13.0
shots per game
+57.6% +0.59 36%
Shot quality
Expected goals per shot moved 0.12 → 0.13; at the current shot volume this adds +0.10 goals per game.
0.12 → 0.13
expected goals per shot
+6.1% +0.1 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
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved -0.01 → -0.24; goalkeeping and opponent finishing add -0.23 goals of goal difference per game. Split: goalkeeping +0.09, opponent on-target quality -0.32.
-0.01 → -0.24
expected goals minus goals conceded per game
-4439.7% -0.23 19%
Shot quality faced
Expected goals per shot faced moved 0.11 → 0.05; at the current volume this changes goal difference by +0.89 per game.
0.11 → 0.05
expected goals per shot faced
-54.0% +0.9 74%
Shots faced
Shots faced per game moved 16.50 → 15.67; at last window's concession rate this changes goal difference by +0.09 per game.
16.5 → 15.67
shots faced per game
-5.1% +0.09 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 %
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.
0.26 -0.56 -0.82 -311.4%
Set-piece threat
Set-piece expected goals per game. It accounts for +59% of the change in attacking expected goals.
0.24 0.54 +0.3 +121.7%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
0.75 1.15 +0.4 +53.3%
Deep completions
Deep completions per game (attacking progression).
3.75 4.75 +1.0 +26.7%
Pressing intensity
Lower is more aggressive. This window: less aggressive pressing.
15.25 18.5 +3.25 +21.3%
Big chances
Big chances created per game.
2.5 3.0 +0.5 +20.0%
Possession
Average possession share.
52.0 46.0 -6.0 -11.5%
Deep completions allowed
Deep completions allowed per game.
7.25 6.75 -0.5 -6.9%

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 2.5 0.75 +233%

What doesn't move in step

MetricRecent 5 Previous 5Change
xGA per match 0.75 1.75 -57%
Non-penalty xGA per match 0.75 1.75 -57%
Deep completions allowed per match 6.75 7.25 -7%
Goals conceded per match 1.0 1.75 -43%

Possible explanations

  • Opponents faced over the last 4 matches average 1.33 xG created this season, versus 1.91 in the previous 4; a softer schedule may be a factor.
  • 2.25 goals scored against 1.53 expected over the last 4 (difference +0.72).

Limitations

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

  • League matches only (464 games analysed); domestic cups and Europe are not included.

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