Injury cascade
Who benefits when Matt Rempe is out?
Matt Rempe (C, New York Rangers) plays 8:08 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 3 games.
Based on 40 games without Matt Rempe and 28 with him. Through games of Oct 19, 2026.
Expected change per game without him
+1:42 TOI, −8 PP% · 9.7% rost
−1:12 TOI, +6 PP% · 70% rost
−0:20 TOI · 89% rost
−0:50 TOI, −3 PP% · 98% rost
−1:44 TOI · 0.1% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Noah LabaCIn 40 games without Matt Rempe, Noah Laba played 14:16 (+1:48), PP share went 15% → 7% and moved up to his L4 slot in 3. | 40 | 12:28 → 14:16 | +1:42 | 15% → 7% | 0/40 | 9.7% | Games without him |
| Will CuylleLIn 40 games without Matt Rempe, Will Cuylle played 16:25 (−1:15), took PP1 in 14 of them (14% of games with him) and moved up to his L4 slot in 2. | 40 | 17:40 → 16:25 | −1:12 | 27% → 34% | 14/40 | 70%▲5.2 | Games without him |
| J.T. MillerCIn 37 games without Matt Rempe, J.T. Miller played 20:08 (−0:22) and moved up to his L4 slot in 1. | 37 | 20:29 → 20:08 | −0:20 | 61% → 58% | 35/37 | 89%▼0.6 | Games without him |
| Mika ZibanejadCIn 40 games without Matt Rempe, Mika Zibanejad played 20:36 (−0:53) and moved up to his L4 slot in 1. | 40 | 21:29 → 20:36 | −0:50 | 65% → 62% | 38/40 | 98% | Games without him |
| Taylor RaddyshRIn 31 games without Matt Rempe, Taylor Raddysh played 11:01 (−1:51) and moved up to his L4 slot in 21. | 31 | 12:52 → 11:01 | −1:44 | 4% → 7% | 0/31 | 0.1% | Games without him |
FAQ
Who benefits when Matt Rempe is out?
Noah Laba projects to gain the most (+1:42 a game). In 40 games without Matt Rempe, Noah Laba played 14:16 (+1:48), PP share went 15% → 7% and moved up to his L4 slot in 3.
How many games has NYR played without Matt Rempe?
40 games in the loaded seasons while he was on the roster, against 28 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.