Injury cascade
Who benefits when Taylor Ward is out?
Taylor Ward (R, Los Angeles Kings) plays 6:55 a night on L4, with 2% of the team's power-play time over his last 10 games. He has missed the team's last 7 games.
Based on 15 games without Taylor Ward and 37 with him. Through games of Oct 20, 2026.
Expected change per game without him
−0:26 TOI, +11 PP% · 75% rost
−0:18 TOI, +7 PP% · 65% rost
+0:42 TOI · 96% rost
+0:37 TOI · 95% rost
−0:39 TOI · 0.0% rost
−1:19 TOI · 3.3% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Quinton ByfieldRIn 15 games without Taylor Ward, Quinton Byfield played 19:36 (−0:30) and took PP1 in 9 of them (31% of games with him). | 15 | 20:05 → 19:36 | −0:26 | 36% → 48% | 9/15 | 75%▼7.1 | Games without him |
| Alex LaferriereRIn 15 games without Taylor Ward, Alex Laferriere played 19:36 (−0:21) and took PP1 in 11 of them (35% of games with him). | 15 | 19:57 → 19:36 | −0:18 | 38% → 46% | 11/15 | 65%▼1.1 | Games without him |
| Artemi PanarinCIn 15 games without Taylor Ward, Artemi Panarin played 21:24 (+0:47). | 15 | 20:37 → 21:24 | +0:42 | 72% → 71% | 15/15 | 96%▼1.6 | Games without him |
| Adrian KempeRIn 15 games without Taylor Ward, Adrian Kempe played 20:06 (+0:42). | 15 | 19:24 → 20:06 | +0:37 | 58% → 57% | 15/15 | 95%▼0.9 | Games without him |
| Jared WrightRIn 8 games without Taylor Ward, Jared Wright played 10:49 (−0:48) and moved up to his L4 slot in 3. | 8 | 11:38 → 10:49 | −0:39 | 0% → 1% | 0/8 | 0.0% | Games without him |
| Joel ArmiaRIn 15 games without Taylor Ward, Joel Armia played 12:47 (−1:29) and moved up to his L4 slot in 4. | 15 | 14:16 → 12:47 | −1:19 | 3% → 6% | 0/15 | 3.3% | Games without him |
FAQ
Who benefits when Taylor Ward is out?
Quinton Byfield projects to gain the most (−0:26 a game). In 15 games without Taylor Ward, Quinton Byfield played 19:36 (−0:30) and took PP1 in 9 of them (31% of games with him).
How many games has LAK played without Taylor Ward?
15 games in the loaded seasons while he was on the roster, against 37 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.