Edgehalla

Injury cascade

Who benefits when Dylan McIlrath is out?

Dylan McIlrath (D, Washington Capitals) plays 7:50 a night on D3, with 0% of the team's power-play time over his last 10 games. He has missed the team's last 4 games.

Based on 65 games without Dylan McIlrath and 16 with him. Through games of Oct 20, 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
Ilya ProtasLIn 7 games without Dylan McIlrath, Ilya Protas played 14:09 (+1:14) and took PP1 in 3 of them (25% of games with him).712:55 → 14:09+0:5832% → 42%3/740%Games without him
Aliaksei ProtasLIn 62 games without Dylan McIlrath, Aliaksei Protas played 18:03 (+0:27).6217:36 → 18:03+0:264% → 4%0/6247%▼4.9Games without him
Boone JennerCIn 4 games without Dylan McIlrath, Boone Jenner played 16:24 (+0:44).415:40 → 16:24+0:301% → 1%0/431%▲8Games without him
Jordan KyrouCIn 4 games without Dylan McIlrath, Jordan Kyrou played 14:00 (+0:42).413:17 → 14:00+0:2835% → 35%0/468%▼1.3Games without him
Anthony BeauvillierLIn 65 games without Dylan McIlrath, Anthony Beauvillier played 15:42 (+0:15).6515:26 → 15:42+0:158% → 10%3/654.0%Games without him
Dylan StromeCIn 63 games without Dylan McIlrath, Dylan Strome played 18:06 (+0:32).6317:34 → 18:06+0:3154% → 52%53/6379%▼2.3Games without him

FAQ

Who benefits when Dylan McIlrath is out?

Ilya Protas projects to gain the most (+0:58 a game). In 7 games without Dylan McIlrath, Ilya Protas played 14:09 (+1:14) and took PP1 in 3 of them (25% of games with him).

How many games has WSH played without Dylan McIlrath?

65 games in the loaded seasons while he was on the roster, against 16 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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