Injury cascade
Who benefits when Kevin Korchinski is out?
Kevin Korchinski (D, Chicago Blackhawks) plays 14:11 a night on D3, with 0% of the team's power-play time over his last 10 games. He has missed the team's last 6 games.
Based on 32 games without Kevin Korchinski and 14 with him. Through games of Oct 17, 2026.
Expected change per game without him
−0:01 TOI, +15 PP% · 31% rost
+1:12 TOI, +3 PP% · 21% rost
+0:49 TOI · 98% rost
+0:29 TOI · 8.8% rost
+0:27 TOI · 8.2% rost
+0:13 TOI · 50% rost
Ranked beneficiaries
Show
| Player | Games | Exp. Δ TOI | Rost % | Basis | |||
|---|---|---|---|---|---|---|---|
| Sam RinzelDIn 23 games without Kevin Korchinski, Sam Rinzel played 19:38 (−0:01), took PP1 in 6 of them (0% of games with him) and moved up to his D3 slot in 3. | 23 | 19:39 → 19:38 | −0:01 | 20% → 36% | 6/23 | 31%▼0.8 | Games without him |
| Oliver MooreCIn 22 games without Kevin Korchinski, Oliver Moore played 12:45 (+1:18). | 22 | 11:26 → 12:45 | +1:12 | 23% → 26% | 3/22 | 21% | Games without him |
| Connor BedardCIn 28 games without Kevin Korchinski, Connor Bedard played 20:58 (+0:53). | 28 | 20:05 → 20:58 | +0:49 | 62% → 61% | 27/28 | 98%▲0.7 | Games without him |
| Ryan GreeneCIn 31 games without Kevin Korchinski, Ryan Greene played 16:40 (+0:31). | 31 | 16:10 → 16:40 | +0:29 | 22% → 22% | 3/31 | 8.8%▼0.8 | Games without him |
| Alex VlasicDIn 32 games without Kevin Korchinski, Alex Vlasic played 21:14 (+0:29) and moved up to his D3 slot in 5. | 32 | 20:46 → 21:14 | +0:27 | 2% → 1% | 0/32 | 8.2% | Games without him |
| Tyler BertuzziLIn 32 games without Kevin Korchinski, Tyler Bertuzzi played 18:32 (+0:14). | 32 | 18:18 → 18:32 | +0:13 | 58% → 59% | 31/32 | 50%▼2.2 | Games without him |
FAQ
Who benefits when Kevin Korchinski is out?
Sam Rinzel projects to gain the most (−0:01 a game). In 23 games without Kevin Korchinski, Sam Rinzel played 19:38 (−0:01), took PP1 in 6 of them (0% of games with him) and moved up to his D3 slot in 3.
How many games has CHI played without Kevin Korchinski?
32 games in the loaded seasons while he was on the roster, against 14 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.