Usage
Power-Play Share Leaders (% of Team PP Time)
2025-26Power playThrough 82 team games
For fantasy hockey, power-play deployment is the most bankable usage signal there is. This board shows the share of his team's power-play time each player was on the ice for: a true first-unit forward usually sits between 60% and 75%, and the quarterbacking defenceman on a one-D unit can top 80%.
Team power-play time is rebuilt from shift charts at every man-advantage state (5-on-4, 5-on-3, 4-on-3), so it is exact rather than estimated from the box score.
Leader in 2025-26: Alex Ovechkin (WSH), 76.3% PP TOI%.
PP TOI share leaderboard
| # | Player | Team | Team PP min | PP TOI/GP | |||
|---|---|---|---|---|---|---|---|
| 1 | Alex OvechkinFWSH | WSH | 76.3% | 365 | 479 | 4:27 | 96%▲1.3 |
| 2 | Evan BouchardDEDM | EDM | 72.3% | 296 | 409 | 3:42 | 100% |
| 3 | Connor McDavidFEDM | EDM | 71.9% | 294 | 409 | 3:40 | 100%▲1.5 |
| 4 | Jason RobertsonFDAL | DAL | 67.1% | 316 | 470 | 3:54 | 100%▲0.5 |
| 5 | Jake GuentzelFTBL | TBL | 66.7% | 321 | 481 | 3:58 | 100% |
| 6 | Mitch MarnerFVGK | VGK | 65.9% | 286 | 434 | 3:32 | 99%▲1.1 |
| 7 | Nikita KucherovFTBL | TBL | 65.1% | 314 | 481 | 4:08 | 100% |
| 8 | Tomas HertlFVGK | VGK | 64.2% | 278 | 434 | 3:26 | 83%▲2.9 |
| 9 | Pavel DorofeyevFVGK | VGK | 63.8% | 277 | 434 | 3:22 | 92%▲1.7 |
| 10 | Nathan MacKinnonFCOL | COL | 63.8% | 337 | 529 | 4:16 | 100%▲0.8 |
| 11 | Mika ZibanejadFNYR | NYR | 62.2% | 262 | 422 | 3:19 | 98%▲1.1 |
| 12 | David PastrnakFBOS | BOS | 61.9% | 278 | 448 | 3:45 | 100%▲1.2 |
| 13 | Ryan Nugent-HopkinsFEDM | EDM | 61.6% | 252 | 409 | 3:36 | 77%▲15 |
| 14 | Kirill KaprizovFMIN | MIN | 61.0% | 304 | 498 | 3:54 | 98%▼0.8 |
| 15 | Wyatt JohnstonFDAL | DAL | 61.0% | 287 | 470 | 3:32 | 100%▲0.8 |
| 16 | Nick SuzukiFMTL | MTL | 60.9% | 290 | 475 | 3:34 | 100% |
| 17 | Nico HischierFNJD | NJD | 60.7% | 244 | 402 | 3:07 | 98%▲3 |
| 18 | Jack EichelFVGK | VGK | 60.5% | 263 | 434 | 3:33 | 99%▲1.4 |
| 19 | Martin NecasFCOL | COL | 59.1% | 313 | 529 | 4:04 | 100%▲1.3 |
| 20 | Macklin CelebriniFSJS | SJS | 59.0% | 296 | 501 | 3:39 | 100%▲0.9 |
| 21 | Clayton KellerFUTA | UTA | 58.9% | 267 | 453 | 3:18 | 100%▲2 |
| 22 | Jesper BrattFNJD | NJD | 58.7% | 236 | 402 | 2:59 | 96%▲11 |
| 23 | Cale MakarDCOL | COL | 58.1% | 307 | 529 | 4:09 | 100%▲1 |
| 24 | Mathew BarzalFNYI | NYI | 58.0% | 274 | 472 | 3:28 | 83%▲10 |
| 25 | Tage ThompsonFBUF | BUF | 57.8% | 282 | 488 | 3:34 | 100%▲1.1 |
| 26 | Matt BoldyFMIN | MIN | 57.5% | 287 | 498 | 3:46 | 100% |
| 27 | Cole CaufieldFMTL | MTL | 57.2% | 272 | 475 | 3:24 | 100%▲0.9 |
| 28 | Lane HutsonDMTL | MTL | 56.8% | 270 | 475 | 3:23 | 99%▲3.1 |
| 29 | Leon DraisaitlFEDM | EDM | 56.7% | 232 | 409 | 3:37 | 100% |
| 30 | Nick SchmaltzFUTA | UTA | 56.7% | 257 | 453 | 3:10 | 94%▲4.7 |
| 31 | Kirill MarchenkoFCBJ | CBJ | 56.6% | 225 | 398 | 3:08 | 98%▲7 |
| 32 | Juraj SlafkovskýFMTL | MTL | 56.6% | 269 | 475 | 3:19 | 99%▲0.8 |
| 33 | Matthew SchaeferDNYI | NYI | 56.3% | 266 | 472 | 3:22 | 100% |
| 34 | Miro HeiskanenDDAL | DAL | 56.2% | 264 | 470 | 3:32 | 100%▲4.5 |
| 35 | Dylan GuentherFUTA | UTA | 56.1% | 254 | 453 | 3:15 | 99%▲2 |
| 36 | Zach WerenskiDCBJ | CBJ | 55.9% | 222 | 398 | 3:08 | 100% |
| 37 | Steven StamkosFNSH | NSH | 55.8% | 259 | 464 | 3:09 | 94%▼3.7 |
| 38 | Mark ScheifeleFWPG | WPG | 55.5% | 255 | 460 | 3:09 | 100% |
| 39 | Alex DeBrincatFDET | DET | 55.4% | 269 | 484 | 3:19 | 100%▲2.6 |
| 40 | Adrian KempeFLAK | LAK | 55.0% | 241 | 438 | 3:08 | 98% |
| 41 | Jake DeBruskFVAN | VAN | 55.0% | 242 | 440 | 3:09 | 49%▼20 |
| 42 | Tyler BertuzziFCHI | CHI | 55.0% | 256 | 465 | 3:17 | 62%▼3.2 |
| 43 | John TavaresFTOR | TOR | 54.8% | 218 | 398 | 2:48 | 96%▲9.3 |
| 44 | Darren RaddyshDTBL | TBL | 54.8% | 264 | 481 | 3:40 | 100%▲3.5 |
| 45 | Kyle ConnorFWPG | WPG | 54.4% | 250 | 460 | 3:05 | 99%▲1 |
| 46 | Rasmus DahlinDBUF | BUF | 54.3% | 265 | 488 | 3:32 | 100%▲1 |
| 47 | Erik KarlssonDPIT | PIT | 54.2% | 247 | 456 | 3:26 | 95% |
| 48 | Gabriel VilardiFWPG | WPG | 53.9% | 248 | 460 | 3:04 | 80%▲7.7 |
| 49 | Brock BoeserFVAN | VAN | 53.9% | 237 | 440 | 3:21 | 63%▼5.5 |
| 50 | Mikhail SergachevDUTA | UTA | 53.9% | 244 | 453 | 3:10 | 98%▲5.2 |
| 51 | Sebastian AhoFCAR | CAR | 53.5% | 245 | 459 | 3:11 | 99%▲0.9 |
| 52 | Morgan GeekieFBOS | BOS | 53.4% | 239 | 448 | 3:06 | 97%▲8.6 |
| 53 | Moritz SeiderDDET | DET | 53.3% | 258 | 484 | 3:14 | 100%▲0.6 |
| 54 | Lucas RaymondFDET | DET | 53.0% | 257 | 484 | 3:15 | 96%▲10 |
| 55 | Mikko RantanenFDAL | DAL | 53.0% | 249 | 470 | 3:58 | 99%▲0.7 |
| 56 | Filip ForsbergFNSH | NSH | 52.9% | 245 | 464 | 2:59 | 99%▲1.4 |
| 57 | Tim StützleFOTT | OTT | 52.7% | 272 | 516 | 3:24 | 100%▲0.8 |
| 58 | Alexander WennbergFSJS | SJS | 52.5% | 263 | 501 | 3:20 | 25%▼1.6 |
| 59 | Matthew KniesFTOR | TOR | 52.4% | 209 | 398 | 2:47 | 94%▲14 |
| 60 | Adam FantilliFCBJ | CBJ | 52.4% | 208 | 398 | 2:42 | 92%▲9.9 |
| 61 | Bryan RustFPIT | PIT | 52.2% | 238 | 456 | 3:27 | 86%▲3.2 |
| 62 | Ivan DemidovFMTL | MTL | 51.8% | 246 | 475 | 3:05 | 92%▲23 |
| 63 | Elias PetterssonFVAN | VAN | 51.8% | 228 | 440 | 3:15 | 87%▼5.8 |
| 64 | Connor BedardFCHI | CHI | 51.6% | 240 | 465 | 3:32 | 98%▲3.2 |
| 65 | Dylan StromeFWSH | WSH | 51.6% | 247 | 479 | 3:05 | 82%▲10 |
| 66 | Josh MorrisseyDWPG | WPG | 51.2% | 235 | 460 | 3:03 | 99%▲3.3 |
| 67 | Vince DunnDSEA | SEA | 51.1% | 220 | 430 | 2:56 | 88%▲11 |
| 68 | Sam ReinhartFFLA | FLA | 50.9% | 263 | 517 | 4:07 | 99% |
| 69 | Nikolaj EhlersFCAR | CAR | 50.9% | 233 | 459 | 2:57 | 93%▲7.9 |
| 70 | Zach HymanFEDM | EDM | 50.8% | 207 | 409 | 3:38 | 98%▼1.4 |
| 71 | Jackson LaCombeDANA | ANA | 50.7% | 260 | 513 | 3:10 | 97%▲9.4 |
| 72 | Pavel ZachaFBOS | BOS | 50.7% | 227 | 448 | 2:59 | 77%▲12 |
| 73 | Trevor ZegrasFPHI | PHI | 50.6% | 236 | 466 | 2:57 | 86%▲19 |
| 74 | Oliver BjorkstrandFTBL | TBL | 50.6% | 243 | 481 | 3:12 | 20% |
| 75 | Bo HorvatFNYI | NYI | 50.5% | 239 | 472 | 3:34 | 91%▲1.7 |
| 76 | Andrei SvechnikovFCAR | CAR | 50.3% | 231 | 459 | 3:00 | 97%▲8.5 |
| 77 | Matty BeniersFSEA | SEA | 50.0% | 215 | 430 | 2:52 | 49%▼2.3 |
| 78 | Jakob ChychrunDWSH | WSH | 49.9% | 239 | 479 | 3:02 | 99%▼0.6 |
| 79 | Dylan CozensFOTT | OTT | 49.9% | 258 | 516 | 3:11 | 90%▲3.6 |
| 80 | J.T. MillerFNYR | NYR | 49.9% | 210 | 422 | 3:08 | 92%▲7.9 |
| 81 | Ryan O'ReillyFNSH | NSH | 49.5% | 229 | 464 | 2:50 | 84%▲5.1 |
| 82 | Brock NelsonFCOL | COL | 49.5% | 262 | 529 | 3:21 | 87%▼4 |
| 83 | Jordan EberleFSEA | SEA | 49.4% | 212 | 430 | 2:52 | 30%▲2.6 |
| 84 | Chandler StephensonFSEA | SEA | 49.2% | 212 | 430 | 2:52 | 17%▲13 |
| 85 | Dylan LarkinFDET | DET | 49.2% | 238 | 484 | 3:16 | 96% |
| 86 | Joel Eriksson EkFMIN | MIN | 48.8% | 243 | 498 | 3:29 | 82%▲11 |
| 87 | Matt CoronatoFCGY | CGY | 48.7% | 219 | 450 | 2:56 | 40%▲6.7 |
| 88 | Drake BathersonFOTT | OTT | 48.2% | 249 | 516 | 3:09 | 97%▲7.4 |
| 89 | Morgan FrostFCGY | CGY | 48.2% | 217 | 450 | 2:51 | 23%▲17 |
| 90 | Brayden PointFTBL | TBL | 48.0% | 231 | 481 | 3:40 | 95%▲7.7 |
| 91 | Vincent TrocheckFNYR | NYR | 48.0% | 202 | 422 | 3:07 | 88%▼5.5 |
| 92 | Seth JarvisFCAR | CAR | 47.5% | 218 | 459 | 3:09 | 95%▲1.5 |
| 93 | Roman JosiDNSH | NSH | 47.3% | 219 | 464 | 3:13 | 98% |
| 94 | Sam BennettFFLA | FLA | 47.2% | 244 | 517 | 3:18 | 83%▲4 |
| 95 | Chris KreiderFANA | ANA | 46.7% | 239 | 513 | 3:14 | 62%▲29 |
| 96 | Mark StoneFVGK | VGK | 46.6% | 202 | 434 | 3:25 | 93%▲9 |
| 97 | Charlie McAvoyDBOS | BOS | 46.6% | 209 | 448 | 3:07 | 96%▲6.1 |
| 98 | Josh DoanFBUF | BUF | 46.3% | 226 | 488 | 2:52 | 61%▲44 |
| 99 | Alexis LafrenièreFNYR | NYR | 46.3% | 195 | 422 | 2:28 | 82%▲13 |
| 100 | Leo CarlssonFANA | ANA | 46.2% | 237 | 513 | 3:26 | 94%▲10 |
Minimum sample: 41 PP min (it scales with games played). 458 below the minimum are hidden.
How to read it
Percent of the team's PP time while he was with that team. Traded players are shown with the team where they had the most PP time.
How reliable is it?
Usage is a coaching decision, not a skill, so it is stable until the coach changes his mind. Check the line-combinations page for the latest units.
Power-play share in the stat glossary →Related leaderboards
- PP unit GF/60Goals per 60 minutes of power-play time with exactly these five on the ice. League average is about 6-7 GF/60 on the power play.
- Penalty ValueGoals per 60 minutes. The season total column is what his penalty differential has been worth so far.
- 5v5 xGF%50% is break-even. 55% means the skater's team took 55% of the expected goals while he was on the ice.