Every NHL player, priced in net goals.

Player evaluation built on an expected-goals model: every skater and goalie priced in net goals added per 82 games versus a league-average player, 2010–11 through 2025–26. New here? Start with How to Read a Card.

Model estimates, not official NHL statistics.

Career leaders, net goals per 82

  1. 1Leon DraisaitlEDM · C+15.4
  2. 2Auston MatthewsTOR · C+14.8
  3. 3Connor McDavidEDM · C+13.3
  4. 4Kirill KaprizovMIN · L+12.3
  5. 5David PastrnakBOS · R+11.5

Career average weighted by games played, small samples regressed to the mean, minimum 82 GP. Same numbers as the Players table.

Player cards by team

A card for every player on all 32 rosters, 2010–11 to 2025–26, plus the unsigned free-agent pool. Pick a team.

Anaheim DucksBoston BruinsBuffalo SabresCarolina HurricanesColumbus Blue JacketsCalgary FlamesChicago BlackhawksColorado AvalancheDallas StarsDetroit Red WingsEdmonton OilersFlorida PanthersLos Angeles KingsMinnesota WildMontreal CanadiensNew Jersey DevilsNashville PredatorsNew York IslandersNew York RangersOttawa SenatorsPhiladelphia FlyersPittsburgh PenguinsSeattle KrakenSan Jose SharksSt. Louis BluesTampa Bay LightningToronto Maple LeafsUtah MammothVancouver CanucksVegas Golden KnightsWinnipeg JetsWashington CapitalsUFA

Explore the numbers

Players
All 924 active players in one sortable table: net goals added per 82 games by component, career totals, and cap hit — any single season or the career average.
Explore the table →
Chemistry
Which duos, trios, and five-man units are better together than apart, with a shot map for every unit.
See the units →
Projected Standings
10,000 simulations of the 2026–27 season over projected rosters: expected points, playoff odds, and movement from each team’s 2025–26 finish.
See the projections →
Quirky Leaders
Offbeat leaderboards mined from the same shot data — the Shin-Pad Shooter, the Auto Glass Award, and other honors the NHL doesn’t hand out but probably should.
See the leaders →
Aging Curves
How each component of net goals rises and falls with age, and where a player of a given type sits on that curve.
See the curves →

How it’s built

Net Goals 101
The derivation, step by step: how a shot becomes expected goals, how the moment is priced in win probability, how context is subtracted, and how it lands in goals — with one player worked end to end.
Read the explainer →
How to Read a Card
An annotated walkthrough of the card layout — what every panel, rating row, and number means.
Read the guide →
Research
Thirteen studies behind the model — what travels when a player changes teams, which skills age first, what a win costs, and the popular stories the data doesn’t support.
Read the studies →
Reference
A glossary of every statistical term used across the site, from expected goals to shrinkage.
Look up a term →