Edgehalla

Injury cascade

Who benefits when Maxim Tsyplakov is out?

Maxim Tsyplakov (R, Calgary Flames) plays 11:10 a night on L4 and PP2, with 28% of the team's power-play time over his last 10 games. He has missed the team's last 1 game.

Only 2 games without Maxim Tsyplakov so far; history is blended with line-adjacency estimates. Through games of Oct 18, 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
Adam KlapkaRIn 2 games without Maxim Tsyplakov, Adam Klapka played 11:30 (+1:06) and PP share went 0% → 20%.210:23 → 11:30+0:330% → 20%0/212%▲1.7Games without him
Zayne ParekhDIn 2 games without Maxim Tsyplakov, Zayne Parekh played 19:03 (+1:38) and PP share went 55% → 61%.217:25 → 19:03+0:4955% → 61%2/258%▼3.6Games without him
Jonathan CastagnaCIn 2 games without Maxim Tsyplakov, Jonathan Castagna played 12:31 (+2:03).210:27 → 12:31+1:020% → 0%0/23.2%Games without him
Matvei GridinRIn 2 games without Maxim Tsyplakov, Matvei Gridin played 15:20 (+0:58) and PP share went 54% → 63%.214:22 → 15:20+0:2954% → 63%2/234%▼1.6Games without him
Morgan FrostCIn 2 games without Maxim Tsyplakov, Morgan Frost played 16:38 (+1:09) and PP share went 55% → 61%.215:30 → 16:38+0:3455% → 61%2/220%▲1Games without him
Matt CoronatoRIn 2 games without Maxim Tsyplakov, Matt Coronato played 17:58 (+0:23) and PP share went 53% → 62%.217:34 → 17:58+0:1253% → 62%2/237%▲0.8Games without him

FAQ

Who benefits when Maxim Tsyplakov is out?

Adam Klapka projects to gain the most (+0:33 a game). In 2 games without Maxim Tsyplakov, Adam Klapka played 11:30 (+1:06) and PP share went 0% → 20%.

How many games has CGY played without Maxim Tsyplakov?

2 games 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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