FlyersPhiladelphia Flyers
17-15-3, 37pts · 9th in EASTERN CONFERENCE
Roster
# Player POS CON HT WT Age DOB POB Contract CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV
0Patrik LaineLW/RW99% 6' 5" 21526Apr 19, 1998FlyersFIN$14,000,000/6yrs947861998768839825939885948895685685
0Martin NecasC/RW97% 6' 2" 18925Jan 15, 1999FlyersCZE$14,000,000/2yrs908556997374868973877971707975665678
0Remi ElieLW100% 6' 1" 20129Apr 16, 1995FlyersCAN$4,000,000/3yrs928756867768769025837975729193625676
0Logan BrownC100% 6' 6" 21826Mar 05, 1998FlyersUSA$3,250,000/2yrs958954868984758573767372658988684375
41Michael McLeodC99% 6' 2" 19026Feb 03, 1998FlyersCAN$1,000,000/3yrs899666837477857690747989257474656375
0Matthew StromeLW100% 6' 4" 20625Jan 06, 1999FlyersCAN$3,250,000/3yrs555392888272958668767877706464665674
28Andrei KuzmenkoLW100% 5' 11" 19428Feb 04, 1996FlyersRUS$4,000,000/6yrs594196876973808625809266755555504773
0Alexander VolkovLW/RW100% 6' 1" 19226Aug 02, 1997FlyersRUS$700,000/1yrs828061877379957761757671677270675673
0Mark KastelicC100% 6' 4" 22625Mar 11, 1999FlyersCAN$1,750,000/3yrs858551839078957667667774727272655073
34Arthur KaliyevLW/RW100% 6' 2" 21023Jun 26, 2001FlyersUSA$950,000/2yrs514895908172958169757876746060825673
0Seth JarvisC/LW100% 5' 10" 17522Feb 01, 2002FlyersCAN$925,000/1yrs945382886482808238828267256161855473
98Mikhail SergachevD100% 6' 3" 21126Jun 25, 1998FlyersRUS$4,800,000/6yrs815581948089968225785486257272655678
44Michael Del ZottoD100% 6' 0" 19534Jun 24, 1990FlyersCAN$700,000/1yrs967262837379758025746375669999195576
2Dylan DeMeloD100% 6' 1" 19431May 01, 1993FlyersCAN$2,750,000/6yrs825368777477788225766578619693494075
81Jake McCabeD100% 6' 1" 21130Oct 12, 1993FlyersUSA$2,500,000/6yrs825273818180777625665376629995495674
0Josh MansonD100% 6' 3" 21832Oct 07, 1991FlyersCAN$2,500,000/1yrs958259748676836925585381629999355074
0Luke WitkowskiRWD100% 6' 2" 21734Apr 14, 1990FlyersUSA$700,000/1yrs998556728471787825646076549999194874
76Josh MahuraD100% 6' 0" 19326May 05, 1998FlyersCAN$2,500,000/6yrs543595867364658625828078599289674674
Scratches
57Connor BrickleyC/W100% 6' 0" 20332Feb 25, 1992FlyersUSA$700,000/1yrs878259757686747972747273649997404073
45Josh MorrisseyD100% 6' 0" 19529Mar 28, 1995FlyersCAN$2,513,000/1yrs674087917382837625635774629996584374
# Goalie Pos Condition HT WT Age DOB POB Contract SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV
0Philipp GrubauerG100% 6' 1" 18832Nov 25, 1991FlyersDEU$1,800,000/3yrs78848472789094919083789999373485
0Tyler ParsonsG100% 6' 1" 18526Sep 18, 1997FlyersUSA$975,000/1yrs74747871749294939471759494486082
Scratches
General Manager
Kyle Vanderneut
Player Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Patrik LaineFlyersFlyers0LW/RW35182442-3220681583911311.39%1218.693912104000132030.65%6200001.2811
2Martin NecasFlyersFlyers0C/RW35131932-22406299317913.13%519.005611113000102251.40%10700100.9601
3Michael McLeodFlyersFlyers41C35131629-4552551111325211.71%1217.844591040001033255.85%85400000.9301
4Remi ElieFlyersFlyers0LW35121325-32407288227113.64%315.66257106000122035.42%4800010.9101
5Seth JarvisFlyersFlyers0C/LW3471522-1802660144511.67%317.462468400001231.71%65600000.7400
6Mikhail SergachevFlyersFlyers98D3521921-11160444817334.17%7325.20167115000154010.00%000000.4800
7Arthur KaliyevFlyersFlyers34LW/RW35111021500081216613.58%213.2834711200002131.58%3800000.9001
8Logan BrownFlyersFlyers0C35515202235776710367.46%816.62257910001282052.01%81900000.6911
9Matthew StromeFlyersFlyers0LW3581018500077306210.39%1115.35011320001321052.73%5500000.6701
10Michael Del ZottoFlyersFlyers44D3331316-684014825111612.00%4621.462138100086100.00%000000.4500
11Jake McCabeFlyersFlyers81D35212149520742412128.33%4018.280005000112000.00%000000.4400
12Dylan DeMeloFlyersFlyers2D2921113-1220481161418.18%2916.910111900041000.00%000000.5300
13Josh MahuraFlyersFlyers76D233912720216111718.75%2416.431122500019100.00%000000.6300
14Andrei KuzmenkoFlyersFlyers28LW316410-62006119499.84%214.752139100010031.82%2200000.4401
15Alexander VolkovFlyersFlyers0LW/RW35448-66084613398.70%511.3300010001270052.38%2100000.4000
16Josh MansonFlyersFlyers0D33167-3660118183175.56%2516.07000000085000.00%000000.2600
17Josh MorrisseyFlyersFlyers45D22055-7000151120.00%2418.430001400087000.00%000000.2500
18Mark KastelicFlyersFlyers0C33224-49512299216.90%47.76000000010043.59%31200000.3100
19Connor BrickleyFlyersFlyers57C/LW/RW12011-32012115120.00%311.690001000470052.29%10900000.1400
20Luke WitkowskiFlyersFlyers0RW/D31000-320038207150.00%28.41000100010028.57%3500000.0000
Team Total or Average631112208320-3543735860106531378110.52%33316.192749761111000116717846.65%313800110.6328
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP GS W L OTL PCT GAA GSAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Philipp GrubauerFlyersFlyers3535171420.8933.40-22.419264110910190010.0000350520
2Tyler ParsonsFlyersFlyers600110.8585.40-6.818900171200100.6258035000
Team Total or Average4135171530.8893.5721164112611390110.62583535520
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
1FlyersFlames1000010056-110.5005101500302028143110451010353266.67%5260.00%0585124047.18%651131149.66%22855740.93%231624613642.9%17.9%86.7%104.5FUN
2FlyersDevils2110000056-120.5005101500131047112412063192049600.00%80100.00%0585124047.18%651131149.66%22855740.93%43295115241145.5%10.6%90.5%101.1FUN
3FlyersIslanders2110000088020.500815230061106023201706519254811327.27%9277.78%0585124047.18%651131149.66%22855740.93%43295115241245.5%13.3%87.7%101.0FUN
4FlyersWhalers413000001121-1020.25011203100155010832423401574040845360.00%17664.71%0585124047.18%651131149.66%22855740.93%865810426492434.8%10.2%86.6%96.8FUN
5FlyersRangers641001002519690.75025477200138402067361702179547612234926.47%30583.33%0585124047.18%651131149.66%22855740.93%15010613945733653.3%12.1%89.4%101.5FUN
6FlyersCapitals412010001113-240.500111930002351111413532312242529920315.00%26580.77%0585124047.18%651131149.66%22855740.93%905810031522550.0%9.9%89.3%99.3FUN
7FlyersWild2110000087120.50081523103140621720250711928495120.00%12375.00%0585124047.18%651131149.66%22855740.93%44315014251163.6%12.9%90.1%103.0FUN
8FlyersAvalanche1010000023-100.000235000200215880336821400.00%4250.00%0585124047.18%651131149.66%22855740.93%231524712666.7%9.5%90.9%100.4FUN
9FlyersSabres1010000013-200.00012300010021687038131231300.00%6266.67%0585124047.18%651131149.66%22855740.93%211426712650.0%4.8%92.1%96.9DULL
10FlyersNordiques1100000030321.0003690110202971210027103520100.00%80100.00%0585124047.18%651131149.66%22855740.93%2114266125100.0%10.3%100.0%110.3LUCKY
11FlyersBlue Jackets3200100085361.0008152300142197392627592284273800.00%21195.24%0585124047.18%651131149.66%22855740.93%68457921371866.7%8.2%94.6%102.8DULL
12FlyersStars1010000015-400.00011200001025313903491137000.00%3233.33%0585124047.18%651131149.66%22855740.93%211525612525.0%4.0%85.3%89.3Unlucky
13FlyersPenguins531000012221170.700224264005710218565664913146444913322627.27%19478.95%0585124047.18%651131149.66%22855740.93%1198512436602948.5%11.9%85.6%97.5FUN
14FlyersKraken1010000023-100.0002350020003314415038101635500.00%8187.50%0585124047.18%651131149.66%22855740.93%191229611550.0%6.1%92.1%98.2DULL
15FlyersGolden Knights1010000008-800.0000000000003210418030101524400.00%50100.00%0585124047.18%651131149.66%22855740.93%21152571260.0%0.0%73.3%73.3Unlucky
_Vs Division26139021019093-3320.61590168258002931284814284274241238242463046081062422.64%1302382.31%0585124047.18%651131149.66%22855740.93%60241365019332315848.5%11.1%88.7%99.8FUN
_Vs Conference281410021019496-2340.60794176270013032304864297294258238892693516591102421.82%1442582.64%0585124047.18%651131149.66%22855740.93%64544270320734817049.6%10.9%89.2%100.1FUN
_Since Last GM Reset35151502201112128-16370.52911220832011383537410653603463442311403334398601312720.61%1813580.66%0585124047.18%651131149.66%22855740.93%79954888325743521247.8%10.5%88.8%99.3FUN
Total35151502201112128-16370.52911220832011383537410653603463442311403334398601312720.61%1813580.66%0585124047.18%651131149.66%22855740.93%79954888325743521247.8%10.5%88.8%99.3FUN

Puck Time
Offensive Zone 22
Neutral Zone 12
Defensive Zone 25
Puck Time
Offensive Zone Start 1240
Neutral Zone Start 557
Defensive Zone Start 1311
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 1464
Faceoffs Lost 1644
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 20.220.31
3rd Period 30.030.68
Overtime 30.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 3.12.67
Overtime 3.32.83
Even Strenght Goal 84
PP Goal 27
PK Goal 0
Empty Net Goal 1
Home Away
Win 107
Lost 69
Overtime Lost 12
PP Attempt 131
PP Goal 27
PK Attempt 181
PK Goal Against 35
Home
Shots For 30.4
Shots Against 32.6
Goals For 3.2
Goals Against 3.7
Hits 24.6
Shots Blocked 9.5
Pim 12.5
Cap Hit
Flyers
Projected Total Cap Hit$81,081,334
Projected Cap Space$418,666
Retains And Buyout Cap Hit$10,818,334
Players In Salary Cap22
Contracts52/55
LTIR Players0
Prospect Count20
Flyers Roster Pos Age 13 14 15 16 17 18 19 20
Alexander VolkovLW/RW26$700,000
Andrei KuzmenkoLW28$4,000,000 $4,000,000 $4,000,000 $4,000,000 $4,000,000 $4,000,000
Arthur KaliyevLW/RW23$950,000 $950,000
Connor BrickleyC/LW/RW32$700,000
Dylan DeMeloD31$2,750,000 $2,750,000 $2,750,000 $2,750,000 $2,750,000 $2,750,000
Jake McCabeD30$2,500,000 $2,500,000 $2,500,000 $2,500,000 $2,500,000 $2,500,000
Josh MahuraD26$2,500,000 $2,500,000 $2,500,000 $2,500,000 $2,500,000 $2,500,000
Josh MansonD32$2,500,000
Josh MorrisseyD29$2,513,000
Logan BrownC26$3,250,000 $3,250,000
Luke WitkowskiRW/D34$700,000
Mark KastelicC25$1,750,000 $1,750,000 $1,750,000
Martin NecasC/RW25$14,000,000 $14,000,000
Matthew StromeLW25$3,250,000 $3,250,000 $3,250,000
Michael Del ZottoD34$700,000
Michael McLeodC26$1,000,000 $1,000,000 $1,000,000
Mikhail SergachevD26$4,800,000 $8,500,000 $8,500,000 $8,500,000 $8,500,000 $8,500,000
Patrik LaineLW/RW26$14,000,000 $14,000,000 $14,000,000 $14,000,000 $14,000,000 $14,000,000
Philipp GrubauerG32$1,800,000 $1,800,000 $1,800,000
Remi ElieLW29$4,000,000 $4,000,000 $4,000,000
Seth JarvisC/LW22$925,000
Tyler ParsonsG26$975,000
Flyers Roster Pos Age 13 14 15 16 17 18 19 20
Adam CarlsonG30$700,000
Adam MusilC27$900,000 $900,000
Andreas BorgmanD29$700,000
Anton CederholmD29$700,000
Antti SuomelaC30$800,000
Blake LizotteC26$1,000,000 $1,000,000
Bobby BrinkRW23$700,000 $700,000 $700,000
Boris KatchoukLW26$1,000,000 $1,000,000 $1,000,000
Brandon MashinterLW35$750,000
Brandon TanevC/LW/RW32$1,250,000 $1,250,000
Brandt ClarkeD21$925,000 $925,000 $925,000
Brian GibbonsC/LW/RW36$815,000 $815,000
Dmitri ZavgorodnyC/LW/RW23$1,200,000 $1,200,000 $1,200,000
Egor SokolovLW/RW24$1,100,000 $1,100,000 $1,100,000 $1,100,000
Gavin HayesLW20$925,000 $925,000 $925,000
Jakub SkarekG24$700,000
Jasper WeatherbyC/LW26$750,000
Josh PillarC/RW22$950,000 $950,000 $950,000 $950,000 $950,000 $950,000
Kevin KorchinskiD20$925,000 $925,000 $925,000
Luca Del Bel BelluzC20$925,000 $925,000 $925,000
Matthew WedmanC25$700,000 $700,000
Michael BuntingLW28$1,700,000 $1,700,000 $1,700,000 $1,700,000 $1,700,000 $1,700,000
Nelson NogierD28$700,000
Olle Eriksson EkG25$2,250,250 $2,250,250 $2,250,250 $2,250,250 $2,250,250
Pavel GogolevLW/RW24$1,000,000 $1,000,000
Pavel MintyukovD20$925,000 $925,000 $925,000
Steven HodgesC30$760,000
Stuart PercyD31$700,000
Viktor AntipinD31$700,000
Zach SenyshynRW27$700,000

Lines
Forward Lines


Patrik Laine


Seth Jarvis


Martin Necas


Andrei Kuzmenko


Michael McLeod


Remi Elie


Matthew Strome


Logan Brown


Arthur Kaliyev


Luke Witkowski


Mark Kastelic


Alexander Volkov

Defensive Pairings


Mikhail Sergachev


Michael Del Zotto


Jake McCabe


Dylan DeMelo


Josh Manson


Josh Mahura

1st Power Play Unit


Matthew Strome


Michael McLeod


Patrik Laine


Mikhail Sergachev


Martin Necas

2nd Power Play Unit


Remi Elie


Logan Brown


Arthur Kaliyev


Andrei Kuzmenko


Michael Del Zotto

Goalies


Philipp Grubauer


Tyler Parsons

Team Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
1FlyersFlames1000010056-110.5005101500302028143110451010353266.67%5260.00%0585124047.18%651131149.66%22855740.93%231624613642.9%17.9%86.7%104.5FUN
2FlyersDevils2110000056-120.5005101500131047112412063192049600.00%80100.00%0585124047.18%651131149.66%22855740.93%43295115241145.5%10.6%90.5%101.1FUN
3FlyersIslanders2110000088020.500815230061106023201706519254811327.27%9277.78%0585124047.18%651131149.66%22855740.93%43295115241245.5%13.3%87.7%101.0FUN
4FlyersWhalers413000001121-1020.25011203100155010832423401574040845360.00%17664.71%0585124047.18%651131149.66%22855740.93%865810426492434.8%10.2%86.6%96.8FUN
5FlyersRangers641001002519690.75025477200138402067361702179547612234926.47%30583.33%0585124047.18%651131149.66%22855740.93%15010613945733653.3%12.1%89.4%101.5FUN
6FlyersCapitals412010001113-240.500111930002351111413532312242529920315.00%26580.77%0585124047.18%651131149.66%22855740.93%905810031522550.0%9.9%89.3%99.3FUN
7FlyersWild2110000087120.50081523103140621720250711928495120.00%12375.00%0585124047.18%651131149.66%22855740.93%44315014251163.6%12.9%90.1%103.0FUN
8FlyersAvalanche1010000023-100.000235000200215880336821400.00%4250.00%0585124047.18%651131149.66%22855740.93%231524712666.7%9.5%90.9%100.4FUN
9FlyersSabres1010000013-200.00012300010021687038131231300.00%6266.67%0585124047.18%651131149.66%22855740.93%211426712650.0%4.8%92.1%96.9DULL
10FlyersNordiques1100000030321.0003690110202971210027103520100.00%80100.00%0585124047.18%651131149.66%22855740.93%2114266125100.0%10.3%100.0%110.3LUCKY
11FlyersBlue Jackets3200100085361.0008152300142197392627592284273800.00%21195.24%0585124047.18%651131149.66%22855740.93%68457921371866.7%8.2%94.6%102.8DULL
12FlyersStars1010000015-400.00011200001025313903491137000.00%3233.33%0585124047.18%651131149.66%22855740.93%211525612525.0%4.0%85.3%89.3Unlucky
13FlyersPenguins531000012221170.700224264005710218565664913146444913322627.27%19478.95%0585124047.18%651131149.66%22855740.93%1198512436602948.5%11.9%85.6%97.5FUN
14FlyersKraken1010000023-100.0002350020003314415038101635500.00%8187.50%0585124047.18%651131149.66%22855740.93%191229611550.0%6.1%92.1%98.2DULL
15FlyersGolden Knights1010000008-800.0000000000003210418030101524400.00%50100.00%0585124047.18%651131149.66%22855740.93%21152571260.0%0.0%73.3%73.3Unlucky
_Vs Division26139021019093-3320.61590168258002931284814284274241238242463046081062422.64%1302382.31%0585124047.18%651131149.66%22855740.93%60241365019332315848.5%11.1%88.7%99.8FUN
_Vs Conference281410021019496-2340.60794176270013032304864297294258238892693516591102421.82%1442582.64%0585124047.18%651131149.66%22855740.93%64544270320734817049.6%10.9%89.2%100.1FUN
_Since Last GM Reset35151502201112128-16370.52911220832011383537410653603463442311403334398601312720.61%1813580.66%0585124047.18%651131149.66%22855740.93%79954888325743521247.8%10.5%88.8%99.3FUN
Total35151502201112128-16370.52911220832011383537410653603463442311403334398601312720.61%1813580.66%0585124047.18%651131149.66%22855740.93%79954888325743521247.8%10.5%88.8%99.3FUN

Puck Time
Offensive Zone 22
Neutral Zone 12
Defensive Zone 25
Puck Time
Offensive Zone Start 1240
Neutral Zone Start 557
Defensive Zone Start 1311
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 1464
Faceoffs Lost 1644
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 20.220.31
3rd Period 30.030.68
Overtime 30.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 3.12.67
Overtime 3.32.83
Even Strenght Goal 84
PP Goal 27
PK Goal 0
Empty Net Goal 1
Home Away
Win 107
Lost 69
Overtime Lost 12
PP Attempt 131
PP Goal 27
PK Attempt 181
PK Goal Against 35
Home
Shots For 30.4
Shots Against 32.6
Goals For 3.2
Goals Against 3.7
Hits 24.6
Shots Blocked 9.5
Pim 12.5
Schedule
DateMatchup Result Detail
Sun, Jun 23FlyersWSH@FlyersPHIWSH5,PHI3RECAP
Mon, Jun 24FlyersPHI@FlyersNYRPHI5,NYR8RECAP
Wed, Jun 26FlyersPHI@FlyersWSHPHI2,WSH4RECAP
Fri, Jun 28FlyersNYI@FlyersPHINYI4,PHI2RECAP
Mon, Jul 1FlyersHAR@FlyersPHIHAR3,PHI4RECAP
Wed, Jul 3FlyersPHI@FlyersNYRPHI4,NYR5 (OT)RECAP
Thu, Jul 4FlyersWSH@FlyersPHIWSH1,PHI2 (OT)RECAP
Sun, Jul 7FlyersPHI@FlyersWSHPHI4,WSH3RECAP
Mon, Jul 8FlyersPHI@FlyersHARPHI2,HAR6RECAP
Thu, Jul 11FlyersPHI@FlyersPITPHI2,PIT1RECAP
Fri, Jul 12FlyersNJD@FlyersPHINJD1,PHI2RECAP
Sat, Jul 13FlyersPHI@FlyersNJDPHI3,NJD5RECAP
Mon, Jul 15FlyersPHI@FlyersCBJPHI3,CBJ2 (OT)RECAP
Wed, Jul 17FlyersNYR@FlyersPHINYR1,PHI2RECAP
Sat, Jul 20FlyersPIT@FlyersPHIPIT6,PHI2RECAP
Tue, Jul 23FlyersPHI@FlyersNYIPHI6,NYI4RECAP
Wed, Jul 24FlyersCBJ@FlyersPHICBJ1,PHI2RECAP
Fri, Jul 26FlyersPHI@FlyersHARPHI3,HAR8RECAP
Sat, Jul 27FlyersPHI@FlyersPITPHI7,PIT8 (SO)RECAP
Mon, Jul 29FlyersNYR@FlyersPHINYR1,PHI5RECAP
Wed, Jul 31FlyersHAR@FlyersPHIHAR4,PHI2RECAP
Sat, Aug 3FlyersPHI@FlyersPITPHI6,PIT3RECAP
Sun, Aug 4FlyersNYR@FlyersPHINYR3,PHI5RECAP
Tue, Aug 6FlyersPHI@FlyersMINPHI4,MIN6RECAP
Thu, Aug 8FlyersCGY@FlyersPHICGY6,PHI5 (OT)RECAP
Sun, Aug 11FlyersPHI@FlyersBUFPHI1,BUF3RECAP
Mon, Aug 12FlyersMIN@FlyersPHIMIN1,PHI4RECAP
Wed, Aug 14FlyersPHI@FlyersNYRPHI4,NYR1RECAP
Fri, Aug 16FlyersCOL@FlyersPHICOL3,PHI2RECAP
Sun, Aug 18FlyersPHI@FlyersCBJPHI3,CBJ2RECAP
Mon, Aug 19FlyersPHI@FlyersSEAPHI2,SEA3RECAP
Wed, Aug 21FlyersDAL@FlyersPHIDAL5,PHI1RECAP
Sat, Aug 24FlyersQUE@FlyersPHIQUE0,PHI3RECAP
Mon, Aug 26FlyersPHI@FlyersVGKPHI0,VGK8RECAP
Tue, Aug 27FlyersPIT@FlyersPHIPIT3,PHI5RECAP
Thu, Aug 29FlyersPHI@FlyersTBL
Sat, Aug 31FlyersEDM@FlyersPHI
Tue, Sep 3FlyersUTA@FlyersPHI
Thu, Sep 5FlyersPHI@FlyersDET
Sat, Sep 7FlyersPHI@FlyersLAK
Sun, Sep 8FlyersPIT@FlyersPHI
Tue, Sep 10FlyersMTL@FlyersPHI
Fri, Sep 13FlyersPHI@FlyersTOR
Sun, Sep 15FlyersPHI@FlyersCHI
Mon, Sep 16FlyersNJD@FlyersPHI
Wed, Sep 18FlyersBUF@FlyersPHI
Fri, Sep 20FlyersPHI@FlyersVAN
Sat, Sep 21FlyersPHI@FlyersHAR
Mon, Sep 23FlyersANA@FlyersPHI
Thu, Sep 26FlyersWSH@FlyersPHI
Sat, Sep 28FlyersPHI@FlyersWPG
Mon, Sep 30FlyersPHI@FlyersNYI
Tue, Oct 1FlyersTOR@FlyersPHI
Thu, Oct 3FlyersPHI@FlyersSTL
Sat, Oct 5FlyersSJS@FlyersPHI
Mon, Oct 7FlyersBOS@FlyersPHI
Wed, Oct 9FlyersPHI@FlyersOTT
Thu, Oct 10FlyersPHI@FlyersQUE
Sat, Oct 12FlyersPHI@FlyersBOS
Sun, Oct 13FlyersDET@FlyersPHI
Wed, Oct 16FlyersNYI@FlyersPHI
Fri, Oct 18FlyersPHI@FlyersCBJ
Sun, Oct 20FlyersDET@FlyersPHI
Tue, Oct 22FlyersPHI@FlyersNJD
Thu, Oct 24FlyersNYI@FlyersPHI
Sat, Oct 26FlyersPHI@FlyersNYR
Mon, Oct 28FlyersMIN@FlyersPHI
Tue, Oct 29FlyersPHI@FlyersCGY
Trade Deadline --- Trades can’t be done after this day is simulated!
Thu, Oct 31FlyersCGY@FlyersPHI
Sun, Nov 3FlyersCBJ@FlyersPHI
Tue, Nov 5FlyersPHI@FlyersNYI
Wed, Nov 6FlyersPHI@FlyersMTL
Sat, Nov 9FlyersOTT@FlyersPHI
Sun, Nov 10FlyersPHI@FlyersNSH
Tue, Nov 12FlyersCBJ@FlyersPHI
Thu, Nov 14FlyersPHI@FlyersWSH
Sat, Nov 16FlyersWSH@FlyersPHI
Mon, Nov 18FlyersPHI@FlyersWSH
Wed, Nov 20FlyersTBL@FlyersPHI
Thu, Nov 21FlyersPHI@FlyersNJD
Mon, Nov 25FlyersNJD@FlyersPHI
Fri, Nov 29FlyersHAR@FlyersPHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
70,263,000$ 10,818,334$ 81,081,334$ 418,666$

ArenaGoal HornAbout us
NameWells Fargo Center
CityPhiladelphia
Capacity18500
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005500200040001000
Ticket Price100$60$45$30$200$
Attendance8356675208274325446713623
Attendance PCT81.93%80.44%80.68%80.10%80.14%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
24 14959 - 80.86% 1,618,151$27,508,573$18500100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
70,263,000$ 73,963,000$ 0$ 10,818,334$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
28,695,179$ 70,263,000$ 28,695,179$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
38,835,632$ 95 433,722$ 41,203,590$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
42,836,830$ 81,081,334$ 40,353,826$ 40,681,977$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Patrik LaineAGE:26FlyersFIN
Remi ElieAGE:29FlyersCAN
Andrei KuzmenkoAGE:28FlyersRUS
Matthew StromeAGE:25FlyersCAN
Michael BuntingAGE:28FlyersCAN
Brandon TanevAGE:32FlyersCAN
Dmitri ZavgorodnyAGE:23FlyersRUS
Egor SokolovAGE:24FlyersRUS
Boris KatchoukAGE:26FlyersCAN
Pavel GogolevAGE:24FlyersRUS
Arthur KaliyevAGE:23FlyersUSA
Seth JarvisAGE:22FlyersCAN
Gavin HayesAGE:20FlyersUSA
Brian GibbonsAGE:36FlyersUSA
Brandon MashinterAGE:35FlyersCAN
Jasper WeatherbyAGE:26FlyersUSA
Alexander VolkovAGE:26FlyersRUS
Connor BrickleyAGE:32FlyersUSA
Martin NecasAGE:25FlyersCZE
Logan BrownAGE:26FlyersUSA
Mark KastelicAGE:25FlyersCAN
Brandon TanevAGE:32FlyersCAN
Dmitri ZavgorodnyAGE:23FlyersRUS
Michael McLeodAGE:26FlyersCAN
Blake LizotteAGE:26FlyersUSA
Josh PillarAGE:22FlyersCAN
Seth JarvisAGE:22FlyersCAN
Luca Del Bel BelluzAGE:20FlyersCAN
Adam MusilAGE:27FlyersCAN
Brian GibbonsAGE:36FlyersUSA
Antti SuomelaAGE:30FlyersFIN
Steven HodgesAGE:30FlyersCAN
Jasper WeatherbyAGE:26FlyersUSA
Connor BrickleyAGE:32FlyersUSA
Matthew WedmanAGE:25FlyersCAN
Patrik LaineAGE:26FlyersFIN
Martin NecasAGE:25FlyersCZE
Brandon TanevAGE:32FlyersCAN
Dmitri ZavgorodnyAGE:23FlyersRUS
Egor SokolovAGE:24FlyersRUS
Pavel GogolevAGE:24FlyersRUS
Arthur KaliyevAGE:23FlyersUSA
Josh PillarAGE:22FlyersCAN
Brian GibbonsAGE:36FlyersUSA
Luke WitkowskiAGE:34FlyersUSA
Alexander VolkovAGE:26FlyersRUS
Connor BrickleyAGE:32FlyersUSA
Zach SenyshynAGE:27FlyersCAN
Bobby BrinkAGE:23FlyersUSA

Defense #1Defense #2Goalie
Mikhail SergachevAGE:26FlyersRUS
Dylan DeMeloAGE:31FlyersCAN
Josh MorrisseyAGE:29FlyersCAN
Jake McCabeAGE:30FlyersUSA
Josh MansonAGE:32FlyersCAN
Josh MahuraAGE:26FlyersCAN
Brandt ClarkeAGE:21FlyersCAN
Kevin KorchinskiAGE:20FlyersCAN
Pavel MintyukovAGE:20FlyersRUS
Michael Del ZottoAGE:34FlyersCAN
Luke WitkowskiAGE:34FlyersUSA
Andreas BorgmanAGE:29FlyersSWE
Viktor AntipinAGE:31FlyersKAZ
Stuart PercyAGE:31FlyersCAN
Nelson NogierAGE:28FlyersCAN
Anton CederholmAGE:29FlyersSWE
Olle Eriksson EkAGE:25FlyersSWE
Philipp GrubauerAGE:32FlyersDEU
Tyler ParsonsAGE:26FlyersUSA
Adam CarlsonAGE:30FlyersUSA
Jakub SkarekAGE:24FlyersCZE

Draft Picks
Year Round 1Round 2Round 3
14
15
16
17
18

** Conditional Draft Pick(s) That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Alexander RykovFlyersFlyers1365
Ayrton MartinoFlyersFlyers1061
Chaz LuciusFlyersFlyers918
Dalibor DvorskyFlyersFlyers134
David EdstromFlyersFlyers1326
Dom DiVincentiisFlyersFlyers1284
Dominik BokkFlyersFlyers417
Dyllan GillFlyersFlyers1267
Ivan MorozovFlyersFlyers442
Jakub StanclFlyersFlyers1366
Kirill KirsanovFlyersFlyers962
Lukas ReichelFlyersFlyers813
Luke TuchFlyersFlyers828
Massimo RizzoFlyersFlyers1087
Matthew AndonovskiFlyersFlyers1382
Maveric LamoureuxFlyersFlyers1228
Michael HrabalFlyersFlyers1333
Quentin MustyFlyersFlyers133
Ryan HealeyFlyersFlyers1252
William SmithFlyersFlyers132
Draft Picks
Year Ronde 1Ronde 2Ronde 3
14
15
16
17
18

** Conditional Draft Pick That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Alexander RykovFlyersFlyers1365
Ayrton MartinoFlyersFlyers1061
Chaz LuciusFlyersFlyers918
Dalibor DvorskyFlyersFlyers134
David EdstromFlyersFlyers1326
Dom DiVincentiisFlyersFlyers1284
Dominik BokkFlyersFlyers417
Dyllan GillFlyersFlyers1267
Ivan MorozovFlyersFlyers442
Jakub StanclFlyersFlyers1366
Kirill KirsanovFlyersFlyers962
Lukas ReichelFlyersFlyers813
Luke TuchFlyersFlyers828
Massimo RizzoFlyersFlyers1087
Matthew AndonovskiFlyersFlyers1382
Maveric LamoureuxFlyersFlyers1228
Michael HrabalFlyersFlyers1333
Quentin MustyFlyersFlyers133
Ryan HealeyFlyersFlyers1252
William SmithFlyersFlyers132
Team News














































































































Injuries
No Injury or Suspension.

Game Center

Flyers17-15-3, 37pts08Final
Golden Knights17-15-2, 36pts

Penguins15-14-5, 35pts35Final
Flyers17-15-3, 37pts

Flyers17-15-3, 37ptsThu, Aug 29Amalie Arena
Lightning19-12-3, 41pts

Oilers23-9-3, 49ptsSat, Aug 31Wells Fargo Center
Flyers17-15-3, 37pts

Hockey Club18-14-2, 38ptsTue, Sep 03Wells Fargo Center
Flyers17-15-3, 37pts

Team Leaders

GOALS
Patrik Laine
18
ASSISTS
Patrik Laine
24
POINTS
Patrik Laine
42
PLUS/MINUS
Jake McCabe
9
WINS
Philipp Grubauer
17
SV%
Philipp Grubauer
0.893

Team Stats


Goals For
112
3.20 GFG
Shots For
1065
30.43 Avg
Power Play Percentage
20.6%
27 GF
Offensive Zone Start
48.6%
Goals Against
128
3.66 GAA
Shots Against
1140
32.57 Avg
Penalty Kill Percentage
80.7%
35 GA
Defensive Zone Start
51.4%
 

Team Info

Flyers
General ManagerKyle Vanderneut
Head Coach
ConferenceEASTERN CONFERENCE
DivisionMETRO DIVISION

Flyers Affiliation

Flyers
Team NamePhantoms
CityLeigh Valley
Head Coach
DivisionATLANTIC DIVISION

Arena Info

StadiumWells Fargo Center
Capacity18,500
Attendance14,959
Season Tickets7,400

Roster Info

Active Roster22/23
Contract Limit52/55
Prospects & Player's Rights20
Reserve List72/90

Salary Cap

Total Cap Hit$81,081,334
Cap Hit Percentage99.49%
Projected Cap Space$418,666
Retains & Buyout$10,818,334

Finance

Team Revenue$27,508,573
Estimated Revenue$70,673,554
Estimated Expenses$69,898,769
Operating Income$774,785
Bank Account$40,353,826

Tickets

Section 100$100 | 81.93%
Section 200$60 | 80.44%
Section 300$45 | 80.68%
Section 400$30 | 80.10%
Suites$200 | 80.14%

Team History

1317-15-3 (37PTS)
Record (W-L-OTL)467-466-86 (1020PTS)
Playoff Appearances4
Playoff Record (W-L)17-18
Stanley Cup0

Entry Draft