Edgehalla

Injury cascade

Who benefits when Jacob Melanson is out?

Jacob Melanson (R, Seattle Kraken) plays 8:14 a night on L4, with 0% of the team's power-play time over his last 10 games. He has missed the team's last 6 games.

Based on 21 games without Jacob Melanson and 37 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
Oscar Fisker MolgaardCIn 7 games without Jacob Melanson, Oscar Fisker Molgaard played 10:40 (+2:19).78:21 → 10:40+1:480% → 1%0/75.6%Games without him
Brandon MontourDIn 20 games without Jacob Melanson, Brandon Montour played 23:14 (+0:16).2022:57 → 23:14+0:1533% → 38%5/2085%▲2.9Games without him
Ryker EvansDIn 20 games without Jacob Melanson, Ryker Evans played 19:39 (+1:56) and PP share went 10% → 2%.2017:42 → 19:39+1:4610% → 2%0/2015%▲0.8Games without him
Ben MeyersCIn 18 games without Jacob Melanson, Ben Meyers played 12:43 (+0:28).1812:15 → 12:43+0:262% → 1%0/185.8%▲5.8Games without him
Kaapo KakkoRIn 21 games without Jacob Melanson, Kaapo Kakko played 13:57 (−0:57) and moved up to his L4 slot in 5.2114:54 → 13:57−0:5230% → 35%5/2124%▲5.3Games without him
Matty BeniersCIn 21 games without Jacob Melanson, Matty Beniers played 18:34 (−0:06) and moved up to his L4 slot in 1.2118:40 → 18:34−0:0649% → 48%14/2149%▼1.7Games without him

FAQ

Who benefits when Jacob Melanson is out?

Oscar Fisker Molgaard projects to gain the most (+1:48 a game). In 7 games without Jacob Melanson, Oscar Fisker Molgaard played 10:40 (+2:19).

How many games has SEA played without Jacob Melanson?

21 games in the loaded seasons while he was on the roster, against 37 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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