Injury cascade
Who benefits when Oskar Bäck is out?
Oskar Bäck (C, Dallas Stars) plays 12:07 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 2 games.
Based on 4 games without Oskar Bäck and 85 with him. Through games of Oct 20, 2026.
Expected change per game without him
+1:41 TOI, +4 PP% · 99% rost
+1:05 TOI, +6 PP% · 20% rost
+0:44 TOI · 99% rost
+0:46 TOI · 99% rost
+0:51 TOI · 9.0% rost
+0:40 TOI · 5.7% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Wyatt JohnstonCIn 4 games without Oskar Bäck, Wyatt Johnston played 22:42 (+2:31) and PP share went 63% → 69%. | 4 | 20:11 → 22:42 | +1:41 | 63% → 69% | 4/4 | 99%▼1.1 | Games without him |
| Tyler SeguinCIn 4 games without Oskar Bäck, Tyler Seguin played 17:38 (+1:37) and took PP1 in 2 of them (25% of games with him). | 4 | 16:01 → 17:38 | +1:05 | 31% → 40% | 2/4 | 20%▲1.8 | Games without him |
| Jason RobertsonLIn 4 games without Oskar Bäck, Jason Robertson played 21:31 (+1:06). | 4 | 20:25 → 21:31 | +0:44 | 68% → 73% | 4/4 | 99% | Games without him |
| Mikko RantanenRIn 4 games without Oskar Bäck, Mikko Rantanen played 21:27 (+1:09). | 4 | 20:18 → 21:27 | +0:46 | 72% → 74% | 4/4 | 99% | Games without him |
| Arttu HyryRIn 2 games without Oskar Bäck, Arttu Hyry played 14:11 (+1:41). | 2 | 12:30 → 14:11 | +0:51 | 1% → 0% | 0/2 | 9.0%▲4.9 | Games without him |
| Sam SteelCIn 4 games without Oskar Bäck, Sam Steel played 16:58 (+0:59). | 4 | 15:59 → 16:58 | +0:40 | 6% → 7% | 0/4 | 5.7% | Games without him |
FAQ
Who benefits when Oskar Bäck is out?
Wyatt Johnston projects to gain the most (+1:41 a game). In 4 games without Oskar Bäck, Wyatt Johnston played 22:42 (+2:31) and PP share went 63% → 69%.
How many games has DAL played without Oskar Bäck?
4 games in the loaded seasons while he was on the roster, against 85 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.