Edgehalla

Injury cascade

Who benefits when Radko Gudas is out?

Radko Gudas (D, Florida Panthers) plays 13:08 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 1 game.

Only 1 game without Radko Gudas 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
Lars EllerCIn 1 game without Radko Gudas, Lars Eller played 16:31 (+2:54) and PP share went 5% → 30%.113:37 → 16:31+0:585% → 30%0/14.1%▲0.8Games without him
Eetu LuostarinenCIn 1 game without Radko Gudas, Eetu Luostarinen played 18:47 (+3:07) and PP share went 16% → 32%.115:40 → 18:47+1:0216% → 32%0/114%Games without him
Carter VerhaegheCIn 1 game without Radko Gudas, Carter Verhaeghe played 18:24 (−0:05) and took PP1 in 1 of them (33% of games with him).118:29 → 18:24−0:0234% → 52%1/168%▼2.4Games without him
Bokondji ImamaLIn 1 game without Radko Gudas, Bokondji Imama played 10:00 (+3:02).16:58 → 10:00+1:010% → 0%0/10.2%Games without him
Garnet HathawayRIn 1 game without Radko Gudas, Garnet Hathaway played 10:49 (+1:59).18:50 → 10:49+0:400% → 0%0/15.7%▲1.7Games without him
Sandis VilmanisLIn 1 game without Radko Gudas, Sandis Vilmanis played 13:25 (+0:55).112:31 → 13:25+0:183% → 8%0/16.4%Games without him

FAQ

Who benefits when Radko Gudas is out?

Lars Eller projects to gain the most (+0:58 a game). In 1 game without Radko Gudas, Lars Eller played 16:31 (+2:54) and PP share went 5% → 30%.

How many games has FLA played without Radko Gudas?

1 game in the loaded seasons while he was on the roster, against 6 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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