Edgehalla

Injury cascade

Who benefits when Travis Mitchell is out?

Travis Mitchell (D, Anaheim Ducks) plays 16:36 a night on D2, 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 4 games without Travis Mitchell and 5 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
Judd CaulfieldRIn 3 games without Travis Mitchell, Judd Caulfield played 14:29 (+3:10) and took PP1 in 2 of them (20% of games with him).311:19 → 14:29+1:547% → 38%2/34.8%▲4.8Games without him
Tyson HindsDIn 4 games without Travis Mitchell, Tyson Hinds played 17:48 (+4:00) and moved up to his D2 slot in 1.413:48 → 17:48+2:400% → 1%0/44.8%Games without him
Alex KillornLIn 4 games without Travis Mitchell, Alex Killorn played 16:43 (+1:00) and PP share went 6% → 23%.415:43 → 16:43+0:406% → 23%0/45.1%Games without him
Cutter GauthierLIn 3 games without Travis Mitchell, Cutter Gauthier played 18:20 (+1:38) and took PP1 in 3 of them (80% of games with him).316:42 → 18:20+0:5966% → 62%3/398%Games without him
Sam ColangeloRIn 2 games without Travis Mitchell, Sam Colangelo played 12:10 (+0:24) and PP share went 5% → 14%.211:46 → 12:10+0:125% → 14%0/25.6%Games without him
Jeff MalottLIn 4 games without Travis Mitchell, Jeff Malott played 10:19 (+0:36).49:44 → 10:19+0:241% → 0%0/43.2%Games without him

FAQ

Who benefits when Travis Mitchell is out?

Judd Caulfield projects to gain the most (+1:54 a game). In 3 games without Travis Mitchell, Judd Caulfield played 14:29 (+3:10) and took PP1 in 2 of them (20% of games with him).

How many games has ANA played without Travis Mitchell?

4 games in the loaded seasons while he was on the roster, against 5 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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