Injury cascade
Who benefits when Mason Appleton is out?
Mason Appleton (C, Detroit Red Wings) plays 12:07 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 4 games.
Based on 14 games without Mason Appleton and 67 with him. Through games of Oct 13, 2026.
Expected change per game without him
+1:45 TOI, +5 PP% · 0.1% rost
+2:25 TOI · 0.0% rost
+1:59 TOI · 26% rost
+1:27 TOI, +5 PP% · 0.3% rost
+1:00 TOI, +4 PP% · 0.0% rost
+1:46 TOI, −5 PP% · 26% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Michael RasmussenCIn 14 games without Mason Appleton, Michael Rasmussen played 14:45 (+2:00) and PP share went 5% → 11%. | 14 | 12:45 → 14:45 | +1:45 | 5% → 11% | 0/14 | 0.1% | Games without him |
| Sheldon DriesCIn 3 games without Mason Appleton, Sheldon Dries played 11:00 (+4:01). | 3 | 6:59 → 11:00 | +2:25 | 1% → 0% | 0/3 | 0.0% | Games without him |
| Emmitt FinnieCIn 14 games without Mason Appleton, Emmitt Finnie played 17:23 (+2:16). | 14 | 15:07 → 17:23 | +1:59 | 23% → 26% | 0/14 | 26%▼0.8 | Games without him |
| James van RiemsdykLIn 9 games without Mason Appleton, James van Riemsdyk played 13:24 (+1:46) and PP share went 31% → 37%. | 9 | 11:38 → 13:24 | +1:27 | 31% → 37% | 3/9 | 0.3% | Games without him |
| John LeonardLIn 3 games without Mason Appleton, John Leonard played 12:42 (+1:39) and PP share went 18% → 26%. | 3 | 11:03 → 12:42 | +1:00 | 18% → 26% | 0/3 | 0.0% | Games without him |
| Michael Brandsegg-NygårdRIn 4 games without Mason Appleton, Michael Brandsegg-Nygård played 15:16 (+2:39) and PP share went 19% → 12%. | 4 | 12:37 → 15:16 | +1:46 | 19% → 12% | 0/4 | 26%▲4.1 | Games without him |
FAQ
Who benefits when Mason Appleton is out?
Michael Rasmussen projects to gain the most (+1:45 a game). In 14 games without Mason Appleton, Michael Rasmussen played 14:45 (+2:00) and PP share went 5% → 11%.
How many games has DET played without Mason Appleton?
14 games in the loaded seasons while he was on the roster, against 67 with him.
How it works
- 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.
- 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.
- 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.
- 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.