Seattle Kraken

How Seattle plays, trait by trait, against the rest of the league.

Real numbers through Oct 10: 5 games this season, blended with last season. Traits that take longer to settle lean more on last season.

Real numbers through Oct 10, from this season’s 5 games only. Expect these to swing a lot this early, which is why the likely ranges are so wide.

Offense

• Shot volume
  SelectiveRelentless

  52.3 shot attempts per 6025th of 32

  53.1 shot attempts per 6023rd of 32

• Shot quality
  HopefulDangerous

  a 6.4% chance of scoring on the average shot16th of 32

  a 6.9% chance of scoring on the average shot12th of 32

• Second chances
  One-and-doneCrashers

  10.3% of chances come from rebounds11th of 32

  9.7% of chances come from rebounds16th of 32

• Off-turnover offense
  PatientOpportunist

  7.4% of chances come right after a turnover16th of 32

  7.7% of chances come right after a turnover17th of 32

• Shots from defensemen
  Forward-ledActive D

  34.1% of shot attempts come from defensemen19th of 32

  31.6% of shot attempts come from defensemen23rd of 32

• Shots from in close
  From distanceIn close

  29.7% of shots come from within 20 feet23rd of 32

  33.5% of shots come from within 20 feet12th of 32

Defense

• Shot suppression
  PorousStingy

  64.7 shot attempts allowed per 6032nd of 32

  69.5 shot attempts allowed per 6031st of 32

• Quality allowed
  ExposedSheltered

  a 6.0% chance of scoring on the average shot against6th of 32

  a 6.3% chance of scoring on the average shot against17th of 32

• Breakdowns avoided
  Fire drillComposed

  0.44 defensive breakdowns per 6028th of 32

  0.73 defensive breakdowns per 6026th of 32

• Goaltending
  SieveWall

  +0.12 goals saved above expected per 6011th of 32

  +0.64 goals saved above expected per 609th of 32

Tempo and edge

• Pace
  SlogTrack meet

  83.5 shots per 60, both teams combined9th of 32

  87.7 shots per 60, both teams combined5th of 32

• Forecheck pressure
  PassiveHounding

  forecheck score 81 (100 is league average)30th of 3218.2 forecheck plays recorded per 6031st of 32

  forecheck score 74 (100 is league average)30th of 3218.2 forecheck plays recorded per 6030th of 32

• Physicality
  FinesseBruising

  hit score 90 (100 is league average)24th of 3223.5 hits recorded per 6026th of 32

  hit score 87 (100 is league average)23rd of 3225.1 hits recorded per 6024th of 32

• Depth
  Top-heavyDeep

  43.4% of forward ice time at 5-on-5 goes to the bottom six8th of 32

  44.2% of forward ice time at 5-on-5 goes to the bottom six7th of 32

Special teams

• Power play
  HarmlessLethal

  7.2 expected goals per 60 on the power play23rd of 32

  7.1 expected goals per 60 on the power play16th of 32

• Penalty kill
  LeakyAirtight

  8.3 expected goals allowed per 60 shorthanded28th of 32

  7.3 expected goals allowed per 60 shorthanded18th of 32

• Power kill
  BunkeredPredatory

  0.5 expected goals created per 60 shorthanded32nd of 32

  0.3 expected goals created per 60 shorthanded23rd of 32

• Discipline
  RecklessClean

  0.07 more penalties drawn than taken per 6010th of 32

  0.40 more penalties drawn than taken per 609th of 32

Forecheck pressure and physicality are shown as arena-adjusted scores; switch “Hits and takeaways” to Raw in the settings to see the numbers as recorded. How the arena adjustment works.

Who Seattle leans on, and what they do best.

• Chandler Stephenson

  17:03 a game

  #9 · Center · 5 P in 5 GP (1 G, 4 A)

  • Most ice time
  • L1 · Eberle, McMann
  • PP2
  • Kills penalties
  • Tough minutes
  • TakeawaysTop 10
  • Finishingtop 6%
  • Faceoffstop 16%
  • Shooting volumebottom 1%
  • Takeawaystop 3%
  • Faceoffstop 24%
  • Top speedtop 10%
  • Hittingbottom 9%

• Matty Beniers

  16:37 a game

  #10 · Center · 3 P in 5 GP (1 G, 2 A)

  • 2nd in ice time
  • L2 · McCann, Samoskevich
  • PP1
  • Kills penalties
  • Tough minutes
  • Staying out of the boxtop 6%
  • Shot blockingtop 20%
  • Distance skatedtop 11%
  • Creating chancesbottom 12%
  • Takeawaystop 11%
  • Distance skatedTop 5

• Bobby McMann

  16:28 a game

  #74 · Center · 2 P in 5 GP (2 G, 0 A)

  • L1 · Eberle, Stephenson
  • PP2
  • Tough minutes
  • Shooting volumeTop 10
  • Finishingtop 12%
  • Top speedTop 10
  • Drawing penaltiesbottom 9%
  • Shot blockingtop 18%
  • Fast burststop 4%
  • Top speedtop 7%

• Jordan Eberle

  16:06 a game

  #7 · Right wing · 4 P in 5 GP (2 G, 2 A)

  • L1 · Stephenson, McMann
  • PP2
  • Preventing chancestop 12%
  • Power-play chancestop 17%
  • Shot blockingtop 22%
  • Drawing penaltiesbottom 19%
  • Shot blockingtop 17%
  • Hardest shotbottom 3%

• Brandon Montour

  23:22 a game

  #62 · Defenseman · 4 P in 5 GP (0 G, 4 A)

  • Most ice time
  • P1 · Evans
  • PP1
  • Kills penalties
  • Takeawaystop 6%
  • Hardest shotTop 10
  • Distance skatedTop 10
  • Preventing chancesbottom 20%
  • Fast burstsTop 10
  • Distance skatedtop 7%
  • Top speedtop 12%

• Ryker Evans

  21:55 a game

  #41 · Defenseman · 2 P in 5 GP (0 G, 2 A)

  • 2nd in ice time
  • P1 · Montour
  • Kills penalties
  • FinishingTop 5
  • Drawing penaltiestop 14%
  • Top speedtop 12%
  • Creating his own chancesbottom 3%
  • Drawing penaltiestop 19%

The 4 forwards and 2 defensemen with the most ice time a game (at least half the games played). Tags show how each is used; rows show his clearest strengths, and a weak spot in grey, as a percentile against his position. Point at anything for details. All Kraken players.

Who plays together at 5-on-5, and how each group is doing.

Lines and pairs are numbered by 5-on-5 ice time together over the team’s last 10 games (5 so far this season), with each older game counting half as much as the one after it, so the latest combinations come first. With so few games, each group’s results are pulled toward the average for its line number.

Last game

At Detroit Red Wings, the team used the same lines and pairs as above.

Which opposing lines each Seattle group has actually been out against at 5-on-5.

Each strip adds to 100%: it shows how one Seattle group’s 5-on-5 time is split across the opponent’s four forward lines, numbered the same way as above. Sized by ice time, a wider box means more time against that line; even columns line the boxes up so you can compare groups straight down. At home the coach changes last and picks these matchups; on the road the other coach does. Faded rows have under ten minutes.

What “with no line matching” means: if a coach just rolled his lines and took whoever was out there, each of his groups would face the opponent’s first line about as often as that line is on the ice. If opposing first lines play a third of the time against Seattle, every Seattle group would see them for about a third of its shifts. A number well above that means the coach is sending that group out against them on purpose; well below means he is keeping it away.

Who Seattle sends out with a man up and a man down.

Each power-play unit is built around its quarterback, the defenseman running it, plus the four players most often out with him over the last 10 games (5 so far). Power-play units’ expected goals per 60 are pulled toward league average while samples are small. Penalty kills are too loose for fixed units (the most common foursome covers only about a tenth of a typical team’s shorthanded time), so penalty killers are grouped by when they go on: the ones who start kills, the second wave who come on after the first change, and spot duty. Point at a power-play name to see his shots on the map.

What the tags mean

Quarterbackthe defenseman who runs the unit from the blue line.

Triggerthe unit’s main shooter, with the most dangerous power-play shots on the team over this season and last.

Distributorthe main passer, with the most first assists on the team’s power-play goals over this season and last.

Net-frontparks in front of the net. At least 40% of his power-play shots come from within 15 feet.

Pointa second defenseman on the unit, alongside the quarterback.

Is he stopping more than he should, and what is his team asking him to face?

Expected-goal models can’t see passes before a shot, so a goalie whose team gives up a lot of cross-ice passes will look worse here than he really is. Ratings compare him with goalies who have at least 10 starts over two seasons, or 2 this season.

How Seattle’s goals are scored and allowed, against the league average, and how much of any difference luck alone could explain.

Every goal counts once, in the first of these that applies: empty net, power play, shorthanded, goalie pulled, then rebound, turnover, faceoff win, and everyday play. These mixes are mostly luck: over three seasons, teams’ goals came from much the same places, and most of the differences here didn’t last.