Injury cascade
Who benefits when Rieger Lorenz is out?
Rieger Lorenz (L, Minnesota Wild) plays 8:39 a night on L3, with 0% of the team's power-play time over his last 10 games. He has missed the team's last 1 game.
Only 1 game without Rieger Lorenz so far; history is blended with line-adjacency estimates. Through games of Oct 20, 2026.
Expected change per game without him
+1:57 TOI, +5 PP% · 100% rost
+1:58 TOI · 7.9% rost
+1:09 TOI · 0.1% rost
+1:08 TOI · 0.4% rost
+0:20 TOI · 39% rost
+0:46 TOI · 81% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Quinn HughesDIn 1 game without Rieger Lorenz, Quinn Hughes played 31:18 (+5:51) and PP share went 63% → 77%. | 1 | 25:27 → 31:18 | +1:57 | 63% → 77% | 1/1 | 100% | Games without him |
| Jonas BrodinDIn 1 game without Rieger Lorenz, Jonas Brodin played 28:13 (+5:53). | 1 | 22:20 → 28:13 | +1:58 | 5% → 7% | 0/1 | 7.9%▲2.9 | Games without him |
| Daemon HuntDIn 1 game without Rieger Lorenz, Daemon Hunt played 18:02 (+3:27). | 1 | 14:35 → 18:02 | +1:09 | 0% → 0% | 0/1 | 0.1% | Games without him |
| Zach BogosianDIn 1 game without Rieger Lorenz, Zach Bogosian played 21:16 (+3:24). | 1 | 17:53 → 21:16 | +1:08 | 3% → 1% | 0/1 | 0.4% | Games without him |
| Blake ColemanCIn 1 game without Rieger Lorenz, Blake Coleman played 17:35 (+1:01), PP share went 24% → 33% and moved up to his L3 slot in 1. | 1 | 16:34 → 17:35 | +0:20 | 25% → 33% | 0/1 | 39%▼2.2 | Games without him |
| Joel Eriksson EkCIn 1 game without Rieger Lorenz, Joel Eriksson Ek played 22:45 (+2:17). | 1 | 20:28 → 22:45 | +0:46 | 53% → 50% | 1/1 | 81%▲3.2 | Games without him |
FAQ
Who benefits when Rieger Lorenz is out?
Quinn Hughes projects to gain the most (+1:57 a game). In 1 game without Rieger Lorenz, Quinn Hughes played 31:18 (+5:51) and PP share went 63% → 77%.
How many games has MIN played without Rieger Lorenz?
1 game in the loaded seasons while he was on the roster, against 5 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.