Injury cascade
Who benefits when Nikita Klepov is out?
Nikita Klepov (R, Anaheim Ducks) plays 13:28 a night on L4 and PP2, with 24% of the team's power-play time over his last 10 games. He has missed the team's last 1 game.
Based on 4 games without Nikita Klepov and 3 with him. Through games of Oct 20, 2026.
Expected change per game without him
+0:47 TOI, +17 PP% · 4.8% rost
+2:42 TOI · 20% rost
+1:14 TOI · 4.8% rost
+1:43 TOI, −5 PP% · 5.1% rost
+0:52 TOI · 3.2% rost
+0:09 TOI, +6 PP% · 94% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Judd CaulfieldRIn 3 games without Nikita Klepov, Judd Caulfield played 13:29 (+1:18), took PP1 in 2 of them (33% of games with him) and moved up to his L4 slot in 1. | 3 | 12:11 → 13:29 | +0:47 | 20% → 48% | 2/3 | 4.8%▲4.8 | Games without him |
| Noah WarrenDIn 4 games without Nikita Klepov, Noah Warren played 19:54 (+4:04). | 4 | 15:50 → 19:54 | +2:42 | 0% → 1% | 0/4 | 20%▲8.3 | Games without him |
| Tyson HindsDIn 4 games without Nikita Klepov, Tyson Hinds played 17:24 (+1:51). | 4 | 15:33 → 17:24 | +1:14 | 0% → 1% | 0/4 | 4.8% | Games without him |
| Alex KillornLIn 4 games without Nikita Klepov, Alex Killorn played 17:21 (+2:34), PP share went 20% → 13% and moved up to his L4 slot in 1. | 4 | 14:47 → 17:21 | +1:43 | 20% → 13% | 0/4 | 5.1% | Games without him |
| Jeff MalottLIn 4 games without Nikita Klepov, Jeff Malott played 10:45 (+1:18). | 4 | 9:27 → 10:45 | +0:52 | 0% → 1% | 0/4 | 3.2% | Games without him |
| Leo CarlssonCIn 4 games without Nikita Klepov, Leo Carlsson played 19:56 (+0:14) and PP share went 60% → 68%. | 4 | 19:43 → 19:56 | +0:09 | 60% → 69% | 4/4 | 94% | Games without him |
FAQ
Who benefits when Nikita Klepov is out?
Judd Caulfield projects to gain the most (+0:47 a game). In 3 games without Nikita Klepov, Judd Caulfield played 13:29 (+1:18), took PP1 in 2 of them (33% of games with him) and moved up to his L4 slot in 1.
How many games has ANA played without Nikita Klepov?
4 games in the loaded seasons while he was on the roster, against 3 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.