FlyersPhiladelphie Flyers
20-22-8, 48pts · 12th in Conference Est
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Connor McDavid0C100.005940809276898693789588619365849150782212,500,000$/7yrs
Artemi Panarin0LW100.005538858366878882519385578477733650742711,642,857$/7yrs
Max Pacioretty0LW100.00794874808385907661798463788076535073307,000,000$/4yrs
Vladimir Tarasenko0RW100.00584187837982628153867463717779685071277,500,000$/4yrs
Andrew Copp0C/RW100.00714188677983826582706681677172595068252,280,000$/2yrs
Luke Kunin0C/RW100.0072496773747982717670727471656683506821925,000$/1yrs
Teddy Blueger0C100.0078428365718287647966638364716866506725750,000$/2yrs
Adam Gaudette0C100.00584174707176786874776958726765535065221,491,667$/1yrs
Valtteri Filppula0C100.00563983637281896283686071638676335065353,000,000$/2yrs
Nick Ritchie0LW100.00864553678677696653706859666967835065231,498,925$/2yrs
Artem Anisimov0C100.00524288678677686678587659718073465064314,550,000$/2yrs
Jacob de la Rose0LW100.0088428864866869637362567157696574506324900,000$/1yrs
Klim Kostin0C100.0066528463867371627460596156626778506120863,333$/3yrs
Tyrell Goulbourne0LW100.0058508354718587525650515352716661505625700,000$/2yrs
Tyler Myers0D100.00804871669987896430746579537874685073296,000,000$/5yrs
Deryk Engelland0D100.0088457161838568593067549051888925507237700,000$/1yrs
Travis Hamonic0D100.00664477648187696330726086527868565069293,857,000$/1yrs
Kris Russell0D100.00793886626482745930715084468273395068323,100,000$/1yrs
Michael Stone0D100.00774282648581666330685772517869535067293,500,000$/1yrs
Martin Marincin0D100.0069448660937973583059556648756959506427700,000$/2yrs
Scratches
Joona Luoto0LW100.0063438861826667595158555752656253635822741,667$/3yrs
Jani Hakanpaa0D100.0073478962938371593058566346756851506427850,000$/1yrs
TEAM AVERAGE100.00704480688081776656706569627471595167
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Pekka Rinne0100.0086908893858486858486858892475084365,000,000$/2yrs
Maxime Lagace0100.007882807877767877767877737758507526700,000$/1yrs
Scratches
Christopher Gibson0100.007374728272717372717372758160507226650,000$/1yrs
TEAM AVERAGE100.0079828084787779787779787983555077
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Marc-Andre Girard
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 AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Connor McDavidFlyersFlyers0C50132538-728063190441306.84%2421.1031215171000481148.25%12565215000.7229
2Artemi PanarinFlyersFlyers0LW50161733-61005317057959.41%1921.005914170000581341.79%674218000.6359
3Max PaciorettyFlyersFlyers0LW5091221-24008511840757.63%1218.6935817700041048.98%493917000.4501
4Luke KuninFlyersFlyers0C/RW528111943807211148647.21%1614.3412345000571152.54%592815000.5127
5Vladimir TarasenkoFlyersFlyers0RW5010919-5803912049818.33%1418.0163915400061138.00%504213000.4224
6Andrew CoppFlyersFlyers0C/RW506814-180637926587.59%1418.33358127000710056.71%6331319000.3100
7Adam GaudetteFlyersFlyers0C503912-6235317830633.85%410.34000000000151.85%27288000.4601
8Artem AnisimovFlyersFlyers0C504711140355415437.41%913.1836973000541051.92%521516000.3300
9Deryk EngellandFlyersFlyers0D5011011-7820984718122.13%7123.5602251011135100.00%0845000.1900
10Teddy BluegerFlyersFlyers0C504711-7120598326434.82%2315.54123711011472048.89%497710000.2800
11Travis HamonicFlyersFlyers0D502792300444624134.35%6222.6223514100016000100.00%1843000.1600
12Tyler MyersFlyersFlyers0D523691500575924315.08%6522.66112126000154200.00%01734000.1500
13Nick RitchieFlyersFlyers0LW50358-3560856920424.35%811.69011700010043.48%231611000.2700
14Kris RussellFlyersFlyers0D50066-560553414230.00%5221.9302211400099000.00%11139000.1100
15Valtteri FilppulaFlyersFlyers0C50426-220327020375.71%1110.420000000911052.45%143913000.2300
16Jacob de la RoseFlyersFlyers0LW36224-140363511165.71%911.160003000820058.33%1276000.2000
17Klim KostinFlyersFlyers0C33213-200223513335.71%47.82000100070041.67%12130000.2300
18Martin MarincinFlyersFlyers0D5002201352415570.00%2112.57000400035000.00%0018000.0600
19Tyrell GoulbourneFlyersFlyers0LW33022-3202311650.00%19.3300010008000.00%103000.1300
20Jani HakanpaaFlyersFlyers0D161010001100100.00%21.7200000001000.00%000000.7300
21Michael StoneFlyersFlyers0D50011-5160532210100.00%3714.42000600074000.00%0322000.0300
Team Total or Average97291149240-5443210103014475008816.29%47816.042853811450112130312750.26%2883358365000.311131
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 W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Pekka RinneFlyersFlyers37171550.9272.11224943791082520110.800153713723
2Maxime LagaceFlyersFlyers133730.9232.047940027352179010.615131337030
Team Total or Average50202280.9262.093044431061434699120.714285050753
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
1FlyersBruins2200000063341.00061016002400562023130551943213538.46%2150.00%0578110452.36%548112148.88%30260849.67%39224419351833.3%10.7%94.5%105.3LUCKY
2FlyersDucks2020000026-400.00022400101051202011045201834600.00%9366.67%0578110452.36%548112148.88%30260849.67%42223819391840.0%3.9%86.7%90.6Unlucky
3FlyersCanadiens3110001087140.667813210032219535253539231204610330.00%11190.91%0578110452.36%548112148.88%30260849.67%69415927552745.5%8.4%92.4%100.8DULL
4FlyersStars1010000012-100.000123001000267613033111228100.00%6183.33%0578110452.36%548112148.88%30260849.67%201221917750.0%3.8%93.9%97.8DULL
5FlyersPenguins2020000026-400.00024600002054141822057817328112.50%6350.00%0578110452.36%548112148.88%30260849.67%43254118351725.0%3.7%89.5%93.2Unlucky
6FlyersRangers1000010012-110.50012300010019748021161621600.00%8187.50%0578110452.36%548112148.88%30260849.67%2211201018850.0%5.3%90.5%95.7Unlucky
7FlyersRed Wings1010000013-200.0001230001003682080327414600.00%2150.00%0578110452.36%548112148.88%30260849.67%211220917933.3%2.8%90.6%93.4Unlucky
8FlyersJets1010000023-100.00024600101020794030162214125.00%110.00%0578110452.36%548112148.88%30260849.67%201121818933.3%10.0%90.0%100.0FUN
9FlyersAvalanche1100000042221.000481200013030107130281410214125.00%5260.00%0578110452.36%548112148.88%30260849.67%1910239178100.0%13.3%92.9%106.2LUCKY
10FlyersCapitals2020000017-600.0001230000103591214061122432500.00%12466.67%0578110452.36%548112148.88%30260849.67%41224319351725.0%2.9%88.5%91.4Unlucky
11FlyersCanucks2010010025-310.25024600011041141692641731355120.00%9277.78%0578110452.36%548112148.88%30260849.67%37204720361725.0%4.9%92.2%97.1DULL
12FlyersMaple Leafs3210000064240.667610160031208323303007330186014321.43%9277.78%0578110452.36%548112148.88%30260849.67%62356329532560.0%7.2%94.5%101.7DULL
13FlyersCoyotes2010000136-310.250369000300571422214551314447228.57%7185.71%0578110452.36%548112148.88%30260849.67%45264119371916.7%5.3%89.1%94.4Unlucky
14FlyersDevils2020000035-200.00036900111057172218058191839300.00%9188.89%0578110452.36%548112148.88%30260849.67%45284216321642.9%5.3%91.4%96.6DULL
15FlyersBlackhawks2010010015-410.25011200010048151316474241836400.00%9188.89%0578110452.36%548112148.88%30260849.67%39204718341720.0%2.1%93.2%95.3DULL
16FlyersHurricanes3100001175250.833710170004229323313868323316712216.67%13192.31%0578110452.36%548112148.88%30260849.67%68396429572855.6%7.5%94.0%101.5DULL
17FlyersFlames2010001045-120.5004480011125421151011602314337114.29%7185.71%0578110452.36%548112148.88%30260849.67%42254719351642.9%7.4%91.7%99.1DULL
18FlyersSabres1100000031221.000369000120291351102776176116.67%3166.67%0578110452.36%548112148.88%30260849.67%2212208178100.0%10.3%96.3%106.6LUCKY
19FlyersKings2110000023-120.500246111100601212360681618287114.29%9277.78%0578110452.36%548112148.88%30260849.67%39214718331650.0%3.3%95.6%98.9DULL
20FlyersLightning1000010023-110.5002350020002510960252615200.00%3166.67%0578110452.36%548112148.88%30260849.67%221320918950.0%8.0%88.0%96.0Unlucky
21FlyersOilers1000100032121.000369002001299118130124204125.00%20100.00%1578110452.36%548112148.88%30260849.67%201122917850.0%10.3%93.3%103.7LUCKY
22FlyersSenators3110001044040.6674610010122712727172903820511000.00%100100.00%0578110452.36%548112148.88%30260849.67%61326828552750.0%5.6%95.6%101.2DULL
23FlyersSharks1000010023-110.500235001010257990422421200.00%2150.00%0578110452.36%548112148.88%30260849.67%201022917950.0%8.0%92.9%100.9DULL
24FlyersIslanders2010001056-120.5005712001122731726303602018465240.00%9366.67%0578110452.36%548112148.88%30260849.67%47274018371850.0%6.8%90.0%96.8Unlucky
25FlyersBlue Jackets2110000034-120.500347101200571523190431410477114.29%5180.00%0578110452.36%548112148.88%30260849.67%44253919361740.0%5.3%90.7%96.0Unlucky
26FlyersPanthers1100000031221.000369000210234127036112194250.00%10100.00%0578110452.36%548112148.88%30260849.67%201222817850.0%13.0%97.2%110.3LUCKY
27FlyersWild1100000020221.00023501002023788025510244125.00%50100.00%0578110452.36%548112148.88%30260849.67%1992110199100.0%8.7%100.0%108.7DULL
28FlyersBlues1010000012-100.00012300010029814702131415600.00%7271.43%0578110452.36%548112148.88%30260849.67%22121910188100.0%3.4%90.5%93.9Unlucky
29FlyersGolden Knights2000001166030.75068140032056816173312481812461119.09%6266.67%0578110452.36%548112148.88%30260849.67%49273819422255.6%8.8%87.5%96.3Unlucky
_Vs Division1428001212235-13100.357223557103984388102136149938311213428446613.04%621477.42%0578110452.36%548112148.88%30260849.67%31118029013125312443.2%5.7%90.9%96.5Unlucky
_Vs Conference291012002415561-6310.5345591146111321177806242287276148132572145381112018.02%1032179.61%0578110452.36%548112148.88%30260849.67%63236361027152425946.7%6.8%92.5%99.3DULL
_Since Last GM Reset5013220156390111-21480.48090148238232432271513674094664744814364513959441833016.39%1874078.61%1578110452.36%548112148.88%30260849.67%1071605107047490944845.8%6.6%92.3%98.9DULL
Total5013220156390111-21480.48090148238232432271513674094664744814364513959441833016.39%1874078.61%1578110452.36%548112148.88%30260849.67%1071605107047490944845.8%6.6%92.3%98.9DULL

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 1104
Neutral Zone Start 608
Defensive Zone Start 1121
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1428
Faceoffs Lost 1405
Team Average Shots after League Average Shots after
1st Period 8.29.57
2nd Period 17.520.31
3rd Period 27.030.68
Overtime 27.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.11.65
3rd Period 1.72.67
Overtime 2.02.83
Even Strenght Goal 57
PP Goal 30
PK Goal 1
Empty Net Goal 2
Home Away
Win 713
Lost 166
Overtime Lost 26
PP Attempt 183
PP Goal 30
PK Attempt 187
PK Goal Against 40
Home
Shots For 27.3
Shots Against 28.7
Goals For 1.8
Goals Against 2.2
Hits 18.9
Shots Blocked 9.0
Pim 7.9
Cap Hit
Flyers
Projected Total Cap Hit81,400,449$
Projected Cap Space99,551$
Retains And Buyout Cap Hit0$
Salary Cap To Date50,973,833$
Players In Salary Cap25
LTIR Players0
Flyers Roster Pos Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Adam Gaudette C221,491,667$1,491,667$
Andrew Copp C/RW252,280,000$2,280,000$ 2,280,000$
Artem Anisimov C314,550,000$4,550,000$ 4,550,000$
Artemi Panarin LW2711,642,857$11,642,857$ 11,642,857$ 11,642,857$ 11,642,857$ 11,642,857$ 11,642,857$ 11,642,857$
Christopher Gibson G26650,000$650,000$
Connor McDavid C2212,500,000$12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$ 12,500,000$
Deryk Engelland D37700,000$700,000$
Jacob de la Rose LW24900,000$900,000$
Jani Hakanpaa D27850,000$850,000$
Joona Luoto LW22741,667$741,667$ 741,667$ 741,667$
Klim Kostin C20863,333$863,333$ 863,333$ 863,333$
Kris Russell D323,100,000$3,100,000$
Luke Kunin C/RW21925,000$925,000$
Martin Marincin D27700,000$700,000$ 700,000$
Max Pacioretty LW307,000,000$7,000,000$ 7,000,000$ 7,000,000$ 7,000,000$
Maxime Lagace G26700,000$700,000$
Michael Stone D293,500,000$3,500,000$
Nick Ritchie LW231,498,925$1,498,925$ 1,498,925$
Pekka Rinne G365,000,000$5,000,000$ 5,000,000$
Teddy Blueger C25750,000$750,000$ 750,000$
Travis Hamonic D293,857,000$3,857,000$
Tyler Myers D296,000,000$6,000,000$ 6,000,000$ 6,000,000$ 6,000,000$ 6,000,000$
Tyrell Goulbourne LW25700,000$700,000$ 700,000$
Valtteri Filppula C353,000,000$3,000,000$ 3,000,000$
Vladimir Tarasenko RW277,500,000$7,500,000$ 7,500,000$ 7,500,000$ 7,500,000$

Lines
Forward Lines


#0 - Artemi Panarin


#0 - Connor McDavid


#0 - Max Pacioretty


#0 - Vladimir Tarasenko


#0 - Andrew Copp


#0 - Luke Kunin


#0 - Adam Gaudette


#0 - Teddy Blueger


#0 - Nick Ritchie


#0 - Connor McDavid


#0 - Valtteri Filppula


#0 - Artem Anisimov

Defensive Pairings


#0 - Tyler Myers


#0 - Kris Russell


#0 - Travis Hamonic


#0 - Deryk Engelland


#0 - Michael Stone


#0 - Martin Marincin

1st Power Play Unit


#0 - Artemi Panarin


#0 - Connor McDavid


#0 - Max Pacioretty


#0 - Travis Hamonic


#0 - Tyler Myers

2nd Power Play Unit


#0 - Vladimir Tarasenko


#0 - Andrew Copp


#0 - Luke Kunin


#0 - Kris Russell


#0 - Deryk Engelland

Goalies
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
1FlyersBruins2200000063341.00061016002400562023130551943213538.46%2150.00%0578110452.36%548112148.88%30260849.67%39224419351833.3%10.7%94.5%105.3LUCKY
2FlyersDucks2020000026-400.00022400101051202011045201834600.00%9366.67%0578110452.36%548112148.88%30260849.67%42223819391840.0%3.9%86.7%90.6Unlucky
3FlyersCanadiens3110001087140.667813210032219535253539231204610330.00%11190.91%0578110452.36%548112148.88%30260849.67%69415927552745.5%8.4%92.4%100.8DULL
4FlyersStars1010000012-100.000123001000267613033111228100.00%6183.33%0578110452.36%548112148.88%30260849.67%201221917750.0%3.8%93.9%97.8DULL
5FlyersPenguins2020000026-400.00024600002054141822057817328112.50%6350.00%0578110452.36%548112148.88%30260849.67%43254118351725.0%3.7%89.5%93.2Unlucky
6FlyersRangers1000010012-110.50012300010019748021161621600.00%8187.50%0578110452.36%548112148.88%30260849.67%2211201018850.0%5.3%90.5%95.7Unlucky
7FlyersRed Wings1010000013-200.0001230001003682080327414600.00%2150.00%0578110452.36%548112148.88%30260849.67%211220917933.3%2.8%90.6%93.4Unlucky
8FlyersJets1010000023-100.00024600101020794030162214125.00%110.00%0578110452.36%548112148.88%30260849.67%201121818933.3%10.0%90.0%100.0FUN
9FlyersAvalanche1100000042221.000481200013030107130281410214125.00%5260.00%0578110452.36%548112148.88%30260849.67%1910239178100.0%13.3%92.9%106.2LUCKY
10FlyersCapitals2020000017-600.0001230000103591214061122432500.00%12466.67%0578110452.36%548112148.88%30260849.67%41224319351725.0%2.9%88.5%91.4Unlucky
11FlyersCanucks2010010025-310.25024600011041141692641731355120.00%9277.78%0578110452.36%548112148.88%30260849.67%37204720361725.0%4.9%92.2%97.1DULL
12FlyersMaple Leafs3210000064240.667610160031208323303007330186014321.43%9277.78%0578110452.36%548112148.88%30260849.67%62356329532560.0%7.2%94.5%101.7DULL
13FlyersCoyotes2010000136-310.250369000300571422214551314447228.57%7185.71%0578110452.36%548112148.88%30260849.67%45264119371916.7%5.3%89.1%94.4Unlucky
14FlyersDevils2020000035-200.00036900111057172218058191839300.00%9188.89%0578110452.36%548112148.88%30260849.67%45284216321642.9%5.3%91.4%96.6DULL
15FlyersBlackhawks2010010015-410.25011200010048151316474241836400.00%9188.89%0578110452.36%548112148.88%30260849.67%39204718341720.0%2.1%93.2%95.3DULL
16FlyersHurricanes3100001175250.833710170004229323313868323316712216.67%13192.31%0578110452.36%548112148.88%30260849.67%68396429572855.6%7.5%94.0%101.5DULL
17FlyersFlames2010001045-120.5004480011125421151011602314337114.29%7185.71%0578110452.36%548112148.88%30260849.67%42254719351642.9%7.4%91.7%99.1DULL
18FlyersSabres1100000031221.000369000120291351102776176116.67%3166.67%0578110452.36%548112148.88%30260849.67%2212208178100.0%10.3%96.3%106.6LUCKY
19FlyersKings2110000023-120.500246111100601212360681618287114.29%9277.78%0578110452.36%548112148.88%30260849.67%39214718331650.0%3.3%95.6%98.9DULL
20FlyersLightning1000010023-110.5002350020002510960252615200.00%3166.67%0578110452.36%548112148.88%30260849.67%221320918950.0%8.0%88.0%96.0Unlucky
21FlyersOilers1000100032121.000369002001299118130124204125.00%20100.00%1578110452.36%548112148.88%30260849.67%201122917850.0%10.3%93.3%103.7LUCKY
22FlyersSenators3110001044040.6674610010122712727172903820511000.00%100100.00%0578110452.36%548112148.88%30260849.67%61326828552750.0%5.6%95.6%101.2DULL
23FlyersSharks1000010023-110.500235001010257990422421200.00%2150.00%0578110452.36%548112148.88%30260849.67%201022917950.0%8.0%92.9%100.9DULL
24FlyersIslanders2010001056-120.5005712001122731726303602018465240.00%9366.67%0578110452.36%548112148.88%30260849.67%47274018371850.0%6.8%90.0%96.8Unlucky
25FlyersBlue Jackets2110000034-120.500347101200571523190431410477114.29%5180.00%0578110452.36%548112148.88%30260849.67%44253919361740.0%5.3%90.7%96.0Unlucky
26FlyersPanthers1100000031221.000369000210234127036112194250.00%10100.00%0578110452.36%548112148.88%30260849.67%201222817850.0%13.0%97.2%110.3LUCKY
27FlyersWild1100000020221.00023501002023788025510244125.00%50100.00%0578110452.36%548112148.88%30260849.67%1992110199100.0%8.7%100.0%108.7DULL
28FlyersBlues1010000012-100.00012300010029814702131415600.00%7271.43%0578110452.36%548112148.88%30260849.67%22121910188100.0%3.4%90.5%93.9Unlucky
29FlyersGolden Knights2000001166030.75068140032056816173312481812461119.09%6266.67%0578110452.36%548112148.88%30260849.67%49273819422255.6%8.8%87.5%96.3Unlucky
_Vs Division1428001212235-13100.357223557103984388102136149938311213428446613.04%621477.42%0578110452.36%548112148.88%30260849.67%31118029013125312443.2%5.7%90.9%96.5Unlucky
_Vs Conference291012002415561-6310.5345591146111321177806242287276148132572145381112018.02%1032179.61%0578110452.36%548112148.88%30260849.67%63236361027152425946.7%6.8%92.5%99.3DULL
_Since Last GM Reset5013220156390111-21480.48090148238232432271513674094664744814364513959441833016.39%1874078.61%1578110452.36%548112148.88%30260849.67%1071605107047490944845.8%6.6%92.3%98.9DULL
Total5013220156390111-21480.48090148238232432271513674094664744814364513959441833016.39%1874078.61%1578110452.36%548112148.88%30260849.67%1071605107047490944845.8%6.6%92.3%98.9DULL

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 1104
Neutral Zone Start 608
Defensive Zone Start 1121
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1428
Faceoffs Lost 1405
Team Average Shots after League Average Shots after
1st Period 8.29.57
2nd Period 17.520.31
3rd Period 27.030.68
Overtime 27.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.11.65
3rd Period 1.72.67
Overtime 2.02.83
Even Strenght Goal 57
PP Goal 30
PK Goal 1
Empty Net Goal 2
Home Away
Win 713
Lost 166
Overtime Lost 26
PP Attempt 183
PP Goal 30
PK Attempt 187
PK Goal Against 40
Home
Shots For 27.3
Shots Against 28.7
Goals For 1.8
Goals Against 2.2
Hits 18.9
Shots Blocked 9.0
Pim 7.9
Schedule
DateMatchup Result Detail
2020-10-26FlyersBlackhawks@FlyersFlyersBlackhawks3,Flyers0RECAP
2020-10-31FlyersDevils@FlyersFlyersDevils2,Flyers1RECAP
2020-11-03FlyersFlyers@FlyersCanucksFlyers2,Canucks3 (OT)RECAP
2020-11-06FlyersFlyers@FlyersFlamesFlyers3,Flames2 (SO)RECAP
2020-11-07FlyersFlyers@FlyersOilersFlyers3,Oilers2 (OT)RECAP
2020-11-10FlyersStars@FlyersFlyersStars2,Flyers1RECAP
2020-11-12FlyersGolden Knights@FlyersFlyersGolden Knights4,Flyers5 (SO)RECAP
2020-11-15FlyersFlyers@FlyersBlackhawksFlyers1,Blackhawks2 (OT)RECAP
2020-11-17FlyersBlue Jackets@FlyersFlyersBlue Jackets3,Flyers1RECAP
2020-11-18FlyersFlyers@FlyersIslandersFlyers2,Islanders4RECAP
2020-11-20FlyersFlyers@FlyersPenguinsFlyers1,Penguins2RECAP
2020-11-23FlyersFlyers@FlyersDevilsFlyers2,Devils3RECAP
2020-11-24FlyersMaple Leafs@FlyersFlyersMaple Leafs2,Flyers1RECAP
2020-11-27FlyersHurricanes@FlyersFlyersHurricanes1,Flyers2 (SO)RECAP
2020-11-29FlyersCanadiens@FlyersFlyersCanadiens3,Flyers1RECAP
2020-12-01FlyersFlyers@FlyersMaple LeafsFlyers2,Maple Leafs1RECAP
2020-12-02FlyersFlyers@FlyersBruinsFlyers3,Bruins1RECAP
2020-12-05FlyersCapitals@FlyersFlyersCapitals2,Flyers1RECAP
2020-12-07FlyersFlyers@FlyersSenatorsFlyers1,Senators0RECAP
2020-12-08FlyersIslanders@FlyersFlyersIslanders2,Flyers3 (SO)RECAP
2020-12-11FlyersFlyers@FlyersPanthersFlyers3,Panthers1RECAP
2020-12-13FlyersFlyers@FlyersHurricanesFlyers1,Hurricanes2 (SO)RECAP
2020-12-15FlyersFlames@FlyersFlyersFlames3,Flyers1RECAP
2020-12-17FlyersCanucks@FlyersFlyersCanucks2,Flyers0RECAP
2020-12-19FlyersFlyers@FlyersBlue JacketsFlyers2,Blue Jackets1RECAP
2020-12-21FlyersRed Wings@FlyersFlyersRed Wings3,Flyers1RECAP
2020-12-22FlyersFlyers@FlyersCanadiensFlyers2,Canadiens1 (SO)RECAP
2020-12-25FlyersMaple Leafs@FlyersFlyersMaple Leafs1,Flyers3RECAP
2020-12-27FlyersCoyotes@FlyersFlyersCoyotes3,Flyers1RECAP
2020-12-29FlyersSenators@FlyersFlyersSenators3,Flyers1RECAP
2021-01-02FlyersFlyers@FlyersAvalancheFlyers4,Avalanche2RECAP
2021-01-05FlyersFlyers@FlyersWildFlyers2,Wild0RECAP
2021-01-06FlyersFlyers@FlyersJetsFlyers2,Jets3RECAP
2021-01-08FlyersDucks@FlyersFlyersDucks3,Flyers1RECAP
2021-01-10FlyersSabres@FlyersFlyersSabres1,Flyers3RECAP
2021-01-12FlyersFlyers@FlyersSenatorsFlyers2,Senators1 (SO)RECAP
2021-01-14FlyersRangers@FlyersFlyersRangers2,Flyers1 (OT)RECAP
2021-01-19FlyersFlyers@FlyersSharksFlyers2,Sharks3 (OT)RECAP
2021-01-20FlyersFlyers@FlyersDucksFlyers1,Ducks3RECAP
2021-01-22FlyersFlyers@FlyersKingsFlyers1,Kings0RECAP
2021-01-24FlyersFlyers@FlyersGolden KnightsFlyers1,Golden Knights2 (SO)RECAP
2021-01-26FlyersFlyers@FlyersCoyotesFlyers2,Coyotes3 (SO)RECAP
2021-01-29FlyersFlyers@FlyersHurricanesFlyers4,Hurricanes2RECAP
2021-01-30FlyersCapitals@FlyersFlyersCapitals5,Flyers0RECAP
2021-02-02FlyersLightning@FlyersFlyersLightning3,Flyers2 (OT)RECAP
2021-02-04FlyersBruins@FlyersFlyersBruins2,Flyers3RECAP
2021-02-06FlyersFlyers@FlyersBluesFlyers1,Blues2RECAP
2021-02-07FlyersCanadiens@FlyersFlyersCanadiens3,Flyers5RECAP
2021-02-09FlyersKings@FlyersFlyersKings3,Flyers1RECAP
2021-02-12FlyersPenguins@FlyersFlyersPenguins4,Flyers1RECAP
2021-02-22FlyersFlyers@FlyersPenguins
2021-02-23FlyersAvalanche@FlyersFlyers
2021-02-25FlyersFlyers@FlyersRed Wings
2021-02-28FlyersDevils@FlyersFlyers
2021-03-02FlyersFlyers@FlyersCapitals
2021-03-04FlyersPanthers@FlyersFlyers
2021-03-05FlyersFlyers@FlyersIslanders
2021-03-07FlyersFlyers@FlyersPanthers
2021-03-09FlyersFlyers@FlyersLightning
2021-03-12FlyersBlue Jackets@FlyersFlyers
2021-03-14FlyersFlyers@FlyersBlue Jackets
2021-03-16FlyersJets@FlyersFlyers
2021-03-19FlyersSharks@FlyersFlyers
2021-03-22FlyersRangers@FlyersFlyers
2021-03-24FlyersFlyers@FlyersRangers
2021-03-27FlyersFlyers@FlyersCapitals
2021-03-28FlyersHurricanes@FlyersFlyers
2021-03-30FlyersSabres@FlyersFlyers
2021-04-02FlyersBruins@FlyersFlyers
2021-04-04FlyersFlyers@FlyersLightning
2021-04-06FlyersWild@FlyersFlyers
2021-04-07FlyersOilers@FlyersFlyers
2021-04-09FlyersBlues@FlyersFlyers
2021-04-12FlyersFlyers@FlyersStars
2021-04-13FlyersFlyers@FlyersPredators
2021-04-16FlyersIslanders@FlyersFlyers
2021-04-18FlyersFlyers@FlyersRed Wings
2021-04-20FlyersFlyers@FlyersDevils
2021-04-21FlyersPenguins@FlyersFlyers
2021-04-24FlyersFlyers@FlyersRangers
2021-04-25FlyersPredators@FlyersFlyers
2021-04-27FlyersFlyers@FlyersSabres

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
81,400,449$ 0$ 81,400,449$ 99,551$

ArenaGoal HornAbout us
NameWachovia Center
CityPhiladelphie
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance141297118912474679657023938
Attendance PCT94.20%95.13%94.93%96.57%95.75%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
16 17127 - 95.15% 604,753$15,118,833$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
81,400,449$ 81,400,449$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
50,973,833$ 81,400,449$ 50,973,833$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
9,676,053$ 69 437,637$ 30,196,953$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
30,196,953$ 81,400,449$ -361,639,735$ -382,160,635$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Artemi PanarinAGE:27FlyersRUS
Max PaciorettyAGE:30FlyersUSA
Nick RitchieAGE:23FlyersCAN
Jacob de la RoseAGE:24FlyersSWE
Joona LuotoAGE:22FlyersFIN
Tyrell GoulbourneAGE:25FlyersCAN
Connor McDavidAGE:22FlyersCAN
Artem AnisimovAGE:31FlyersRUS
Valtteri FilppulaAGE:35FlyersFIN
Andrew CoppAGE:25FlyersUSA
Adam GaudetteAGE:22FlyersUSA
Luke KuninAGE:21FlyersUSA
Klim KostinAGE:20FlyersRUS
Teddy BluegerAGE:25FlyersLVA
Vladimir TarasenkoAGE:27FlyersRUS
Andrew CoppAGE:25FlyersUSA
Luke KuninAGE:21FlyersUSA

Defense #1Defense #2Goalie
Tyler MyersAGE:29FlyersUSA
Travis HamonicAGE:29FlyersCAN
Michael StoneAGE:29FlyersCAN
Kris RussellAGE:32FlyersCAN
Jani HakanpaaAGE:27FlyersFIN
Martin MarincinAGE:27FlyersSVK
Deryk EngellandAGE:37FlyersCAN
Pekka RinneAGE:36FlyersFIN
Maxime LagaceAGE:26FlyersCAN
Christopher GibsonAGE:26FlyersFIN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2021
2022
2023
2024
2025

** 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
1 ballo phi 2021FlyersFlyers
2 ballo phi 2021FlyersFlyers
Alex Kannok-LeipertFlyersFlyers2018172
Blake HillmanFlyersFlyers
Blake SiebenalerFlyersFlyers
Connor HobbsFlyersFlyers
Cooper MooreFlyersFlyers2019147
Drake RymshaFlyersFlyers2017145
Drew CammessoFlyersFlyers202045
Elliot DesnoyersFlyersFlyers2020138
Emil HeinemanFlyersFlyers202062
Felix SandstromFlyersFlyers
Filip SveningssonFlyersFlyers2017205
Isaac RatcliffeFlyersFlyers201730
Josh NodlerFlyersFlyers2019163
Kerby RychelFlyersFlyers
Kyle CapobiancoFlyersFlyers
Liam DundaFlyersFlyers
Logan StanleyFlyersFlyers
Luke MartinFlyersFlyers201765
Marcus KarlbergFlyersFlyers201882
Martins DzierkalsFlyersFlyers
Mikael HakkarainenFlyersFlyers2018141
Milan KloucekFlyersFlyers2018203
Nikita AlexandrovFlyersFlyers201970
Olle LycksellFlyersFlyers2017175
Quinn SchmiemannFlyersFlyers2019194
Ryan ManthaFlyersFlyers
Santeri AirolaFlyersFlyers2019214
Tomas HykaFlyersFlyersLink
Vitek VanecekFlyersFlyers

Injuries
No Injury or Suspension.

Game Center

Kings26-18-6, 58pts31Final
Flyers20-22-8, 48pts

Penguins21-20-9, 51pts41Final
Flyers20-22-8, 48pts

Flyers20-22-8, 48ptsMon, Feb 22Mellon Arena
Penguins21-20-9, 51pts

Avalanche28-17-4, 60ptsTue, Feb 23Wachovia Center
Flyers20-22-8, 48pts

Flyers20-22-8, 48ptsThu, Feb 25Joe louis Arena
Red Wings19-28-4, 42pts

Team Leaders

GOALS
Artemi Panarin
16
ASSISTS
Connor McDavid
25
POINTS
Connor McDavid
38
PLUS/MINUS
Luke Kunin
4
WINS
Pekka Rinne
17
SV%
Pekka Rinne
0.927

Team Stats


Goals For
90
1.80 GFG
Shots For
1367
27.34 Avg
Power Play Percentage
16.4%
30 GF
Offensive Zone Start
49.6%
Goals Against
111
2.22 GAA
Shots Against
1436
28.72 Avg
Penalty Kill Percentage
78.6%
40 GA
Defensive Zone Start
50.4%
 

Team Info

Flyers
General ManagerMarc-Andre Girard
Head Coach
ConferenceConference Est
DivisionMetropolitain

Flyers Affiliation

Flyers
Team NamePhiladelphie
CityPhiladelphie
Head Coach
DivisionAtlantique

Arena Info

StadiumWachovia Center
Capacity18,000
Attendance17,127
Season Tickets7,200

Salary Cap

Total Cap Hit81,400,449$
Cap Hit Percentage99.88%
Projected Cap Space99,551$
Retains & Buyout0$

Finance

Team Revenue15,118,833$
Estimated Revenue24,794,886$
Estimated Expenses81,170,786$
Operating Income-56,375,900$
Bank Account-361,639,735$

Team History

202020-22-8 (48PTS)
Record (W-L-OTL)58-51-23 (139PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft