Edgehalla

Injury cascade

Who benefits when Ethen Frank is out?

Ethen Frank (R, Washington Capitals) plays 9:10 a night on L4 and PP2, with 10% of the team's power-play time over his last 10 games. He has missed the team's last 3 games.

Based on 13 games without Ethen Frank and 64 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
Dylan McIlrathDIn 1 game without Ethen Frank, Dylan McIlrath played 14:05 (+5:50).18:15 → 14:05+1:570% → 0%0/10.1%Games without him
Justin SourdifCIn 11 games without Ethen Frank, Justin Sourdif played 14:47 (−0:07), took PP1 in 3 of them (12% of games with him) and moved up to his L4 slot in 1.1114:55 → 14:47−0:0617% → 16%3/1115%▼0.8Games without him
Anthony BeauvillierLIn 13 games without Ethen Frank, Anthony Beauvillier played 15:45 (+0:07) and moved up to his L4 slot in 1.1315:38 → 15:45+0:0610% → 7%1/134.0%Games without him
Alex OvechkinLIn 13 games without Ethen Frank, Alex Ovechkin played 17:01 (−0:19) and moved up to his L4 slot in 4.1317:20 → 17:01−0:1776% → 73%13/1388%▼4Games without him
Aliaksei ProtasLIn 11 games without Ethen Frank, Aliaksei Protas played 16:22 (−1:59) and moved up to his L4 slot in 1.1118:20 → 16:22−1:405% → 7%0/1147%▼4.9Games without him
Ryan LeonardRIn 13 games without Ethen Frank, Ryan Leonard played 14:12 (−0:28), PP share went 45% → 36% and moved up to his L4 slot in 2.1314:39 → 14:12−0:2445% → 36%5/1372%▲4.5Games without him

FAQ

Who benefits when Ethen Frank is out?

Dylan McIlrath projects to gain the most (+1:57 a game). In 1 game without Ethen Frank, Dylan McIlrath played 14:05 (+5:50).

How many games has WSH played without Ethen Frank?

13 games in the loaded seasons while he was on the roster, against 64 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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