Philadelphia Flyers

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

Real numbers through Oct 10: 6 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 6 games only. Expect these to swing a lot this early, which is why the likely ranges are so wide.

Offense

• Shot volume
  SelectiveRelentless

  44.7 shot attempts per 6032nd of 32

  41.3 shot attempts per 6032nd of 32

• Shot quality
  HopefulDangerous

  a 6.3% chance of scoring on the average shot19th of 32

  a 5.6% chance of scoring on the average shot27th of 32

• Second chances
  One-and-doneCrashers

  10.1% of chances come from rebounds22nd of 32

  13.4% of chances come from rebounds10th of 32

• Off-turnover offense
  PatientOpportunist

  7.7% of chances come right after a turnover4th of 32

  3.4% of chances come right after a turnover29th of 32

• Shots from defensemen
  Forward-ledActive D

  32.1% of shot attempts come from defensemen26th of 32

  31.6% of shot attempts come from defensemen24th of 32

• Shots from in close
  From distanceIn close

  30.4% of shots come from within 20 feet19th of 32

  25.2% of shots come from within 20 feet28th of 32

Defense

• Shot suppression
  PorousStingy

  62.4 shot attempts allowed per 6031st of 32

  73.3 shot attempts allowed per 6032nd of 32

• Quality allowed
  ExposedSheltered

  a 6.3% chance of scoring on the average shot against15th of 32

  a 6.9% chance of scoring on the average shot against26th of 32

• Breakdowns avoided
  Fire drillComposed

  0.40 defensive breakdowns per 6013th of 32

  0.68 defensive breakdowns per 6025th of 32

• Goaltending
  SieveWall

  +0.12 goals saved above expected per 6012th of 32

  +0.48 goals saved above expected per 6012th of 32

Tempo and edge

• Pace
  SlogTrack meet

  77.5 shots per 60, both teams combined30th of 32

  81.3 shots per 60, both teams combined12th of 32

• Forecheck pressure
  PassiveHounding

  forecheck score 86 (100 is league average)27th of 3219.4 forecheck plays recorded per 6027th of 32

  forecheck score 71 (100 is league average)31st of 3217.1 forecheck plays recorded per 6031st of 32

• Physicality
  FinesseBruising

  hit score 109 (100 is league average)9th of 3228.4 hits recorded per 609th of 32

  hit score 104 (100 is league average)15th of 3229.5 hits recorded per 6015th of 32

• Depth
  Top-heavyDeep

  43.3% of forward ice time at 5-on-5 goes to the bottom six9th of 32

  43.8% of forward ice time at 5-on-5 goes to the bottom six10th of 32

Special teams

• Power play
  HarmlessLethal

  7.5 expected goals per 60 on the power play13th of 32

  6.2 expected goals per 60 on the power play22nd of 32

• Penalty kill
  LeakyAirtight

  7.4 expected goals allowed per 60 shorthanded13th of 32

  6.8 expected goals allowed per 60 shorthanded15th of 32

• Power kill
  BunkeredPredatory

  0.8 expected goals created per 60 shorthanded20th of 32

  0.6 expected goals created per 60 shorthanded20th of 32

• Discipline
  RecklessClean

  0.19 more penalties taken than drawn per 6028th of 32

  0.83 more penalties taken than drawn per 6028th 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 Philadelphia leans on, and what they do best.

• Trevor Zegras

  #46 · Center · 17:24 a game

  2 P in 6 GP (0 G, 2 A)

  
  • Most ice time
  • L2 · Dvorak, Foerster
  • PP1
  • Tough minutes
  • Tough minutes
  • Setting up goalstop 7%
  • Creating chancestop 8%
  • Faceoffsbottom 2%
  • Preventing chancesbottom 5%

• Tyson Foerster

  #71 · Right wing · 16:52 a game

  1 P in 6 GP (1 G, 0 A)

  
  • 2nd in ice time
  • L2 · Dvorak, Zegras
  • PP1
  • Kills penalties
  • Tough minutes
  • Tough minutes
  • Finishingtop 8%
  • Hardest shottop 14%
  • Setting up goalsbottom 6%
  • Takeawaysbottom 24%

• Travis Konecny

  #11 · Right wing · 16:49 a game

  3 P in 5 GP (0 G, 3 A)

  
  • PP1
  • Tough minutes
  • Tough minutes
  • Creating chancestop 14%
  • Takeawaysbottom 8%

  No clear strengths or weak spots yet.

• Christian Dvorak

  #22 · Center · 15:35 a game

  1 P in 6 GP (0 G, 1 A)

  
  • L2 · Zegras, Foerster
  • Kills penalties
  • Tough minutes
  • Tough minutes
  • Finishingbottom 2%
  • Distance skatedbottom 10%

• Travis Sanheim

  #6 · Defenseman · 23:14 a game

  2 P in 6 GP (1 G, 1 A)

  
  • Most ice time
  • P1 · Drysdale
  • Kills penalties
  • Tough minutes
  • Tough minutes
  • Creating chancestop 25%
  • Power-play chancesbottom 13%
  • Hardest shotTop 10
  • Preventing chancesbottom 8%

• Cam York

  #8 · Defenseman · 21:49 a game

  0 P in 5 GP (0 G, 0 A)

  
  • 2nd in ice time
  • Kills penalties
  • Tough minutes
  • Tough minutes
  • Staying out of the boxtop 15%
  • Shot blockingtop 20%
  • Preventing chancestop 24%
  • Finishingbottom 1%
  • Preventing chancesbottom 8%

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 Flyers 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 (6 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 Boston Bruins, the team used the same lines and pairs as above.

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

Each strip adds to 100%: it shows how one Philadelphia 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 Philadelphia, every Philadelphia 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 Philadelphia 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 (6 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?

J. Woll41 starts · 1331 shots faced, this season and last

+3.6 goals saved above expected

Low-danger save %

.979 699 shots

Medium-danger save %

.859 462 shots

High-danger save %

.694 170 shots

Shots faced per 60

33.1

Defensive breakdowns per 60

0.27

Quality starts

66%

Night to night: goals saved above expected in each start

Helping, or hung out to dry?

Show the full picture for J. WollHide the full picture

• Stopping more than expected
  SieveWall

  +3.6 goals saved above expected in 41 starts

• How busy he is
  QuietUnder siege

  33.1 shots faced per 60

• How dangerous the shots are
  ShelteredExposed

  the average shot he faces has a 6.8% chance of going in

• Breakdowns in front of him
  RareConstant

  0.27 defensive breakdowns in front of him per 60

• Waiting between shots
  Steady workLong waits

  a typical wait of 65 seconds between shots; 16% come after three quiet minutes

• Night-to-night steadiness
  StreakySteady

  a quality start 66% of the time

Really bad starts

27%

Overall save %

.901

J. Woll3 starts · 110 shots faced, this season

+3.5 goals saved above expected

Low-danger save %

.965 57 shots

Medium-danger save %

.925 40 shots

High-danger save %

.769 13 shots

Shots faced per 60

35.9

Defensive breakdowns per 60

0.33

Quality starts

100%

Night to night: goals saved above expected in each start

Helping, or hung out to dry?

Show the full picture for J. WollHide the full picture

• Stopping more than expected
  SieveWall

  +3.5 goals saved above expected in 3 starts

• How busy he is
  QuietUnder siege

  35.9 shots faced per 60

• How dangerous the shots are
  ShelteredExposed

  the average shot he faces has a 7.2% chance of going in

• Breakdowns in front of him
  RareConstant

  0.33 defensive breakdowns in front of him per 60

• Waiting between shots
  Steady workLong waits

  a typical wait of 56 seconds between shots; 13% come after three quiet minutes

• Night-to-night steadiness
  StreakySteady

  a quality start 100% of the time

Really bad starts

0%

Overall save %

.927

D. Vladar52 starts · 1387 shots faced, this season and last

+10.4 goals saved above expected

Low-danger save %

.984 709 shots

Medium-danger save %

.863 489 shots

High-danger save %

.693 189 shots

Shots faced per 60

26.3

Defensive breakdowns per 60

0.42

Quality starts

73%

Night to night: goals saved above expected in each start

Helping, or hung out to dry?

Show the full picture for D. VladarHide the full picture

• Stopping more than expected
  SieveWall

  +10.4 goals saved above expected in 52 starts

• How busy he is
  QuietUnder siege

  26.3 shots faced per 60

• How dangerous the shots are
  ShelteredExposed

  the average shot he faces has a 6.8% chance of going in

• Breakdowns in front of him
  RareConstant

  0.42 defensive breakdowns in front of him per 60

• Waiting between shots
  Steady workLong waits

  a typical wait of 78 seconds between shots; 23% come after three quiet minutes

• Night-to-night steadiness
  StreakySteady

  a quality start 73% of the time

Really bad starts

19%

Overall save %

.902

D. Vladar3 starts · 104 shots faced, this season

−2.5 goals saved above expected

Low-danger save %

.955 44 shots

Medium-danger save %

.826 46 shots

High-danger save %

.643 14 shots

Shots faced per 60

35.9

Defensive breakdowns per 60

0.69

Quality starts

33%

Night to night: goals saved above expected in each start

Helping, or hung out to dry?

Show the full picture for D. VladarHide the full picture

• Stopping more than expected
  SieveWall

  −2.5 goals saved above expected in 3 starts

• How busy he is
  QuietUnder siege

  35.9 shots faced per 60

• How dangerous the shots are
  ShelteredExposed

  the average shot he faces has a 8.6% chance of going in

• Breakdowns in front of him
  RareConstant

  0.69 defensive breakdowns in front of him per 60

• Waiting between shots
  Steady workLong waits

  a typical wait of 60 seconds between shots; 17% come after three quiet minutes

• Night-to-night steadiness
  StreakySteady

  a quality start 33% of the time

Really bad starts

67%

Overall save %

.856

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 Philadelphia’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.