Troyes's results have dipped

Results ▼ Limited evidence Ligue 1 Insight date · 2026-10-23 2026-08-29 ~ 2026-10-17

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 0.63; 3 of 3 matches moved the same way.

Primary driver

Primary driver Multiple factors -0.63 Share 29% Attribution confidence Limited evidence

Over the last 3 matches, points per game moved 1.00 → 0.00; goal difference per game -1.67 → -2.00. 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 %
Points per game 1.0 0.0 -1.0 -100.0%
Goals per game 1.33 0.33 -1.0 -75.0%
Goals conceded per game 3.0 2.33 -0.67 -22.2%
Goal difference per game -1.67 -2.0 -0.33 -20.0%
xG per game 1.56 1.29 -0.27 -17.0%
xGA per game 2.2 1.83 -0.36 -16.5%
Expected points per game 1.03 0.95 -0.08 -7.7%

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 -0.23 → -0.86; finishing adds -0.63 goals per game.
-0.23 → -0.86
goals above expected per game
-278.7% -0.63 76%
Shot volume
Shots per game moved 15.33 → 14.00; at last window's output per shot this adds -0.14 goals per game.
15.33 → 14.0
shots per game
-8.7% -0.14 16%
Shot quality
Expected goals per shot moved 0.10 → 0.10; at the current shot volume this adds -0.06 goals per game.
0.1 → 0.1
expected goals per shot
-4.5% -0.06 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
Shots faced
Shots faced per game moved 15.67 → 9.00; at last window's concession rate this changes goal difference by +0.93 per game.
15.67 → 9.0
shots faced per game
-42.6% +0.94 68%
Shot quality faced
Expected goals per shot faced moved 0.14 → 0.17; at the current volume this changes goal difference by -0.30 per game.
0.14 → 0.17
expected goals per shot faced
+23.5% -0.3 22%
Goalkeeping & opponent finishing
Expected goals conceded minus goals conceded moved -0.80 → -0.94; goalkeeping and opponent finishing add -0.14 goals of goal difference per game. Split: goalkeeping -1.72, opponent on-target quality +1.58.
-0.8 → -0.94
expected goals minus goals conceded per game
-17.2% -0.14 10%

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 %
Penalty threat
Penalties can swing short windows; treat as context.
0.26 0.0 -0.26 -100.0%
Opponent strength
Opponents' season goal difference per game (expected goals for minus against); positive means stronger. This is a harder schedule. Coverage 3/3 vs 3/3.
-0.22 -0.03 +0.18 +84.4%
Set-piece threat
Set-piece expected goals per game. It accounts for +110% of the change in attacking expected goals.
0.46 0.17 -0.29 -63.2%
Deep completions allowed
Deep completions allowed per game.
11.33 5.67 -5.67 -50.0%
Deep completions
Deep completions per game (attacking progression).
8.0 4.67 -3.33 -41.7%
Open-play threat
Open-play expected goals per game (regular play, fast breaks, individual play).
1.09 0.98 -0.11 -10.1%
Pressing intensity
Lower is more aggressive. This window: more aggressive pressing.
25.33 23.33 -2.0 -7.9%
Big chances
Big chances created per game.
2.33 2.5 +0.17 +7.2%
Possession
Average possession share.
38.0 38.5 +0.5 +1.3%

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
Non-penalty xG per match 1.29 1.31 -1%
Expected points per game 0.95 1.03 -8%

Possible explanations

  • Opponents faced over the last 3 matches average 1.90 xG created this season, versus 1.29 in the previous 3; a step up in opposition quality may be a factor.
  • 0.33 goals scored against 1.30 expected over the last 3 (difference -0.96).

Limitations

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

  • League matches only (159 games analysed); domestic cups and Europe are not included.