Edgehalla

Injury cascade

Who benefits when Marco Kasper is out?

Marco Kasper (C, Detroit Red Wings) plays 12:00 a night on L4 and PP1, with 10% of the team's power-play time over his last 10 games. He has missed the team's last 5 games.

Based on 6 games without Marco Kasper and 82 with him. 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
Michael RasmussenCIn 6 games without Marco Kasper, Michael Rasmussen played 16:36 (+3:54) and PP share went 4% → 21%.612:41 → 16:36+2:564% → 21%0/60.1%Games without him
Michael Brandsegg-NygårdRIn 5 games without Marco Kasper, Michael Brandsegg-Nygård played 16:07 (+3:47).512:20 → 16:07+2:4217% → 15%0/526%▲4.1Games without him
Sheldon DriesCIn 3 games without Marco Kasper, Sheldon Dries played 11:00 (+4:01).36:59 → 11:00+2:251% → 0%0/30.0%Games without him
Lucas RaymondLIn 6 games without Marco Kasper, Lucas Raymond played 20:30 (+1:43) and PP share went 54% → 64%.618:47 → 20:30+1:1754% → 64%6/694%Games without him
Andrew CoppCIn 6 games without Marco Kasper, Andrew Copp played 18:24 (+1:44) and PP share went 23% → 31%.616:40 → 18:24+1:1823% → 31%1/68.3%▼0.8Games without him
Alex DeBrincatRIn 6 games without Marco Kasper, Alex DeBrincat played 20:20 (+1:50) and PP share went 55% → 61%.618:29 → 20:20+1:2355% → 61%6/699%Games without him

FAQ

Who benefits when Marco Kasper is out?

Michael Rasmussen projects to gain the most (+2:56 a game). In 6 games without Marco Kasper, Michael Rasmussen played 16:36 (+3:54) and PP share went 4% → 21%.

Who replaces Marco Kasper on the first power-play unit?

Michael Rasmussen is the likeliest replacement: his power-play share goes from 4% to 21% over 6 games without Marco Kasper.

How many games has DET played without Marco Kasper?

6 games in the loaded seasons while he was on the roster, against 82 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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