Edgehalla

Injury cascade

Who benefits when Florian Xhekaj is out?

Florian Xhekaj (L, Montreal Canadiens) plays 9:02 a night on L4, with 0% of the team's power-play time over his last 10 games. He has missed the team's last 2 games.

Only 2 games without Florian Xhekaj so far; history is blended with line-adjacency estimates. Through games of Oct 13, 2026.

Expected change per game without him

Ranked beneficiaries

Show
Players whose ice time and power-play share rose without the injured player, ranked by expected fantasy opportunity.
PlayerGamesExp. Δ TOIRost %Basis
Alexandre TexierLIn 2 games without Florian Xhekaj, Alexandre Texier played 16:20 (+3:28) and PP share went 13% → 23%.212:52 → 16:20+1:4413% → 23%0/24.9%Games without him
Juraj SlafkovskýLIn 2 games without Florian Xhekaj, Juraj Slafkovský played 20:56 (+3:10).217:46 → 20:56+1:3558% → 61%2/298%▼0.9Games without him
Lane HutsonDIn 2 games without Florian Xhekaj, Lane Hutson played 26:49 (+2:51).223:58 → 26:49+1:2563% → 64%2/299%▼0.6Games without him
Nick SuzukiCIn 2 games without Florian Xhekaj, Nick Suzuki played 24:49 (+4:02) and PP share went 71% → 60%.220:47 → 24:49+2:0171% → 61%2/2100%Games without him
Cole CaufieldRIn 2 games without Florian Xhekaj, Cole Caufield played 20:32 (+2:09).218:23 → 20:32+1:0465% → 61%2/2100%Games without him
Alexandre CarrierDIn 2 games without Florian Xhekaj, Alexandre Carrier played 20:09 (+0:46).219:23 → 20:09+0:230% → 0%0/213%▼1.1Games without him

FAQ

Who benefits when Florian Xhekaj is out?

Alexandre Texier projects to gain the most (+1:44 a game). In 2 games without Florian Xhekaj, Alexandre Texier played 16:20 (+3:28) and PP share went 13% → 23%.

How many games has MTL played without Florian Xhekaj?

2 games in the loaded seasons while he was on the roster, against 7 with him.

How it works

  1. We find every game the injured player missed while on the team's roster this season and last (including the current absence), and compare each teammate's ice time, power-play share and PP1 usage in those games with the games the injured player dressed.
  2. Changes are shrunk toward zero when the sample is small (a change over n games counts n / (n + 2) of its size), so one odd game does not crown a beneficiary.
  3. When there is little or no absence history, we fall back to line adjacency from our shift-based line detection: the next man up on his power-play unit (the top PP2 player at his position) and the best player one line or pair below his.
  4. Players are ranked by expected fantasy opportunity: TOI minutes, plus power-play share (10 points of PP share ≈ 1.2 minutes of even-strength TOI), plus PP1 gains.

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