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Injury cascade

Who benefits when Elmer Soderblom is out?

Elmer Soderblom (L, Pittsburgh Penguins) plays 11:09 a night on L4, with 1% of the team's power-play time over his last 10 games. He has missed the team's last 1 game.

Based on 7 games without Elmer Soderblom and 29 with him. Through games of Oct 19, 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
Sidney CrosbyCIn 7 games without Elmer Soderblom, Sidney Crosby played 19:51 (+1:10) and PP share went 54% → 62%.718:41 → 19:51+0:5454% → 62%7/799%Games without him
Rickard RakellRIn 7 games without Elmer Soderblom, Rickard Rakell played 20:19 (+1:11).719:08 → 20:19+0:5557% → 60%7/770%▼6.3Games without him
Ilya SolovyovDIn 1 game without Elmer Soderblom, Ilya Solovyov played 15:52 (+3:24).112:29 → 15:52+1:080% → 0%0/10.1%Games without him
Spencer StastneyDIn 2 games without Elmer Soderblom, Spencer Stastney played 18:22 (+1:43).216:39 → 18:22+0:520% → 0%0/20.1%Games without him
Erik KarlssonDIn 7 games without Elmer Soderblom, Erik Karlsson played 24:19 (−0:01).724:20 → 24:19+0:0056% → 59%7/795%Games without him
Nick RobertsonLIn 6 games without Elmer Soderblom, Nick Robertson played 12:02 (−0:45) and moved up to his L4 slot in 3.612:46 → 12:02−0:330% → 0%0/626%▼1.2Games without him

FAQ

Who benefits when Elmer Soderblom is out?

Sidney Crosby projects to gain the most (+0:54 a game). In 7 games without Elmer Soderblom, Sidney Crosby played 19:51 (+1:10) and PP share went 54% → 62%.

How many games has PIT played without Elmer Soderblom?

7 games in the loaded seasons while he was on the roster, against 29 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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