Injury cascade
Who benefits when Miles Wood is out?
Miles Wood (L, Columbus Blue Jackets) plays 9:47 a night on L4 and PP2, with 2% of the team's power-play time over his last 10 games.
Based on 28 games without Miles Wood and 54 with him. Through games of Oct 20, 2026.
Expected change per game without him
+1:35 TOI, +12 PP% · 42% rost
+0:15 TOI, +13 PP% · 47% rost
+1:00 TOI · 19% rost
+0:45 TOI · 0.6% rost
+0:28 TOI · 0.1% rost
−0:50 TOI, −5 PP% · 18% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Kent JohnsonCIn 28 games without Miles Wood, Kent Johnson played 14:19 (+1:42), PP share went 28% → 40% and moved up to his L4 slot in 5. | 28 | 12:37 → 14:19 | +1:35 | 28% → 40% | 12/28 | 42%▲7.2 | Games without him |
| Charlie CoyleCIn 28 games without Miles Wood, Charlie Coyle played 18:17 (+0:16) and took PP1 in 18 of them (33% of games with him). | 28 | 18:00 → 18:17 | +0:15 | 36% → 50% | 18/28 | 47%▼0.5 | Games without him |
| Mathieu OlivierRIn 27 games without Miles Wood, Mathieu Olivier played 14:50 (+1:04). | 27 | 13:45 → 14:50 | +1:00 | 1% → 1% | 0/27 | 19%▲0.8 | Games without him |
| Erik GudbransonDIn 13 games without Miles Wood, Erik Gudbranson played 18:20 (+0:52). | 13 | 17:28 → 18:20 | +0:45 | 0% → 0% | 0/13 | 0.6% | Games without him |
| Jake ChristiansenDIn 15 games without Miles Wood, Jake Christiansen played 10:23 (+0:32). | 15 | 9:51 → 10:23 | +0:28 | 0% → 0% | 0/15 | 0.1% | Games without him |
| Cole SillingerCIn 27 games without Miles Wood, Cole Sillinger played 14:38 (−0:53), PP share went 8% → 2% and moved up to his L4 slot in 1. | 27 | 15:31 → 14:38 | −0:50 | 8% → 2% | 0/27 | 18%▲4.9 | Games without him |
FAQ
Who benefits when Miles Wood is out?
Kent Johnson projects to gain the most (+1:35 a game). In 28 games without Miles Wood, Kent Johnson played 14:19 (+1:42), PP share went 28% → 40% and moved up to his L4 slot in 5.
How many games has CBJ played without Miles Wood?
28 games in the loaded seasons while he was on the roster, against 54 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.