FlyersPhiladelphia Flyers
48-24-9, 105pts · 2nd in Eastern Conference
Roster
Player # POS CON Checking Fighting Discipline Skating Strength Endurance Durability Puck Handling Face Offs Passing Scoring Defense Penalty Shot Exp Leadership Potential Morale OV AGE CONTRACT
Claude Giroux (A)0C/LW99.0061398184698588868379767184809352830338,275,000$/2yrs
David Kampf0C100.0064418963787589617760627663696742580261,000,000$/1yrs
Paul Byron0LW/RW100.0074378570617762645663617970797638840323,500,000$/3yrs
Mark Scheifele (A)0C100.0057457483858990828584816683748072840286,125,000$/4yrs
Taro Hirose0LW100.0057398263657578625664585763676452840241,500,000$/2yrs
Nick Cousins0C/RW100.0080427868697484667369656468736756830271,000,000$/1yrs
Tanner Kero0C99.005544886170848359746255566175685784028700,000$/1yrs
Radek Faksa0C100.0079427467868185658062667567716981830272,000,000$/2yrs
Travis Konecny0RW100.0071388280658285785882795780656681820245,500,000$/5yrs
Jeremy Bracco0RW100.005237866558807963716754535965636779024750,000$/2yrs
Kevin Shattenkirk0D99.0069407774758589733079696756797165820324,000,000$/3yrs
Jack Johnson0D98.0091428364838586633068588251827353830343,000,000$/1yrs
Roman Polak0D100.0089437559888264583066508349847426520352,000,000$/2yrs
Ben Hutton0D100.0065418766828386643072617952736847530281,500,000$/2yrs
Nikita Zaitsev0D100.0084418262788879613072538248777336830294,500,000$/4yrs
Scratches
Justin Abdelkader0LW/RW100.008645785983696856645550665882734672034600,000$/3yrs
Frederik Gauthier0C85.427444896397658061775662666169657979026850,000$/2yrs
Nathan MacKinnon (C)0C96.0064408791748789867891876290697688830256,300,000$/3yrs
Mark Stone0RW93.2068458179848785785685779073757843620298,500,000$/7yrs
Justin Kirkland0LW82.676452826280858759566054585767646674024750,000$/2yrs
Mason Appleton0C100.006243866179757359645856605967645665025750,000$/2yrs
Dougie Hamilton0D100.0075457277988968763085827963737472730275,750,000$/1yrs
Adam Pelech0D100.0086427762878964613073559049716663590261,600,000$/1yrs
Brandon Montour0D100.0075397770728573693074667454716667680274,000,000$/5yrs
TEAM AVERAGE97.9671428169788280675670647163737159750
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
Robin Lehner0100.008891899587868887868887778359830295,000,000$/5yrs
Carter Hutton096.008385837582818382818382858951830352,750,000$/1yrs
Scratches
TEAM AVERAGE98.008688868585848685848685818655830
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jon Cooper83899276787371CAN5245,000,000$
General Manager
Jonathan Lecompte
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
1Claude GirouxFlyersFlyers0C/LW8029396813601573081072129.42%3620.894481340111186254.50%2008037100.81412
2Travis KonecnyFlyersFlyers0RW77352964161201312366314114.83%2618.136814101000667529.21%894922000.9201
3Nathan MacKinnonFlyersFlyers0C79313263-31201172737617311.36%3620.7928101290111904349.58%18077031000.77612
4Mark ScheifeleFlyersFlyers0C7021385911460113251681598.37%2519.2843787000884051.27%14533333010.8737
5Mark StoneFlyersFlyers0RW611521362200128149358310.07%3718.3312370202892137.50%1203224010.6446
6Nick CousinsFlyersFlyers0C/RW811815339200122158419411.39%2413.8213472101592450.56%893016000.5922
7Kevin ShattenkirkFlyersFlyers0D81526311151513612773623.94%9823.54145110011118110.00%04858000.3300
8Dougie HamiltonFlyersFlyers0D5651823839510612330604.07%7522.8224610500092100.00%03248000.3600
9Jack JohnsonFlyersFlyers0D814182212751349232324.35%9220.8433676000126100.00%01963000.2600
10Paul ByronFlyersFlyers0LW/RW70101121101207885305911.76%1913.032023100092027.27%331416000.4600
11Radek FaksaFlyersFlyers0C8091221824010813950836.47%2512.790112400033051.33%5262814000.4100
12Brandon MontourFlyersFlyers0D7321517733512510433391.92%10721.02123101000131100.00%12747000.2200
13David KampfFlyersFlyers0C614812380585817346.90%1112.0601140000183050.38%133511000.3300
14Frederik GauthierFlyersFlyers0C687310040727423409.46%108.90000200041051.52%23179000.3300
15Ben HuttonFlyersFlyers0D4019100801718845.56%2914.20000800015000.00%0924000.3500
16Justin AbdelkaderFlyersFlyers0LW/RW711894335135399182.56%2414.5210124000280038.89%54517000.1700
17Roman PolakFlyersFlyers0D3117841006311739.09%3518.530001800050010.00%0321000.2800
18Adam PelechFlyersFlyers0D5208822401124421140.00%6418.470114700060000.00%01224000.1700
19Nikita ZaitsevFlyersFlyers0D7008810801074522220.00%5917.7800034000122000.00%1837000.1300
20Jeremy BraccoFlyersFlyers0RW445272201347112910.64%78.78000000002220.00%10103000.3600
21Justin KirklandFlyersFlyers0LW17314440111421021.43%412.68101500000046.15%2604000.3700
22Taro HiroseFlyersFlyers0LW402200037220.00%014.4200000000000.00%110000.6900
23Tanner KeroFlyersFlyers0C11112100292511.11%310.71011200060055.00%2011000.3400
24Mason AppletonFlyersFlyers0C321120802185712.50%58.83000400000040.00%3044000.1400
Team Total or Average1390208332540111441252069241976713858.60%85116.8529457412353361399401949.52%4824527564120.461940
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
1Robin LehnerFlyersFlyers69421870.9322.2340860015222341011530.7602569121586
2Carter HuttonFlyersFlyers156620.9132.928430041469218010.462131269200
Team Total or Average84482490.9292.3549300019327031229540.6583881811786
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
1FlyersBruins2010001078-120.500711181003317423262177818853100.00%40100.00%0854171449.82%1014201750.27%538107550.05%45284517331646.7%9.5%89.7%99.2FUN
2FlyersAvalanche2100010065130.7506713003030722622240672710374125.00%5180.00%0854171449.82%1014201750.27%538107550.05%45284217321655.6%8.3%92.5%100.9DULL
3FlyersMaple Leafs2010001056-120.500561110031263182421374281861100.00%9188.89%0854171449.82%1014201750.27%538107550.05%44264418351750.0%7.9%91.9%99.8DULL
4FlyersCanucks2020000036-300.0003580001206013222506221855600.00%4175.00%0854171449.82%1014201750.27%538107550.05%44263917351737.5%5.0%90.3%95.3Unlucky
5FlyersPredators2110000055020.500581300131053182213063161459000.00%7271.43%1854171449.82%1014201750.27%538107550.05%39224617331562.5%9.4%92.1%101.5LUCKY
6FlyersPenguins53100010158780.800152237003652170654855617145241358450.00%12283.33%0854171449.82%1014201750.27%538107550.05%1126810843844264.7%8.8%95.3%104.1DULL
7FlyersBlues3200010096350.833912210032408318452001023016675360.00%9188.89%0854171449.82%1014201750.27%538107550.05%62356827522554.5%10.8%94.1%105.0LUCKY
8FlyersCapitals510011201512390.9001520350005751624162551017953141047342.86%7357.14%0854171449.82%1014201750.27%538107550.05%1086411443884557.1%9.3%93.3%102.6LUCKY
9FlyersSabres2100100075241.00071320001231662123184682410653133.33%50100.00%0854171449.82%1014201750.27%538107550.05%45264118351754.5%10.6%92.6%103.3LUCKY
10FlyersJets2200000074341.0007121900124068193019062218549222.22%40100.00%0854171449.82%1014201750.27%538107550.05%44264117331855.6%10.3%93.5%103.8LUCKY
11FlyersStars2110000055020.5005101510212051221217052231860500.00%9277.78%0854171449.82%1014201750.27%538107550.05%40204319361762.5%9.8%90.4%100.2FUN
12FlyersFlames2200000082641.0008122000152052152413063186645240.00%30100.00%0854171449.82%1014201750.27%538107550.05%43254217341775.0%15.4%96.8%112.2LUCKY
13FlyersDevils61400001919-1030.2509162500324017166534982077536138600.00%18288.89%0854171449.82%1014201750.27%538107550.05%11767144551034934.6%5.3%90.8%96.1Unlucky
14FlyersBlackhawks7510001017116120.8571727440054722118069604249953617714214.29%18288.89%1854171449.82%1014201750.27%538107550.05%14382160641205862.5%8.1%95.6%103.6DULL
15FlyersHurricanes522001001413150.5001421350035601635058532158542812713323.08%14564.29%0854171449.82%1014201750.27%538107550.05%1086410444884457.9%8.6%91.8%100.4DULL
16FlyersKings2110000035-220.50035800012063163017059231370100.00%4250.00%0854171449.82%1014201750.27%538107550.05%45274017341750.0%4.8%91.5%96.3DULL
17FlyersCanadiens2110000075220.50071219002230662427150602110523133.33%50100.00%0854171449.82%1014201750.27%538107550.05%45274116331654.5%10.6%91.7%102.3LUCKY
18FlyersOilers31200000412-820.333459001210782226300100303980500.00%12283.33%1854171449.82%1014201750.27%538107550.05%61356627512428.6%5.1%88.0%93.1Unlucky
19FlyersBlue Jackets522000101416-260.6001421350044531444351504180412412314214.29%12375.00%0854171449.82%1014201750.27%538107550.05%1035711445874448.0%9.7%91.1%100.8Unlucky
20FlyersPanthers2100000155030.750571200113066232517357241244200.00%60100.00%0854171449.82%1014201750.27%538107550.05%43254419371750.0%7.6%91.2%98.8DULL
21FlyersCoyotes2010100067-120.50061117000321561516232671420622150.00%10280.00%0854171449.82%1014201750.27%538107550.05%42224218371850.0%10.7%89.6%100.3FUN
22FlyersSenators2100000144030.7504711001030611420264591512794250.00%6183.33%0854171449.82%1014201750.27%538107550.05%43244220391740.0%6.6%93.2%99.8DULL
23FlyersWild3210000085340.66781422102150942832340954110789111.11%5180.00%0854171449.82%1014201750.27%538107550.05%65396226512663.6%8.5%94.7%103.2DULL
24FlyersRangers410001111511460.75015233800554411838354011138412989300.00%9277.78%0854171449.82%1014201750.27%538107550.05%78449837743662.5%12.7%92.0%104.7LUCKY
25FlyersRed Wings2100100063341.00067130003215816192036317646400.00%30100.00%0854171449.82%1014201750.27%538107550.05%42254517331766.7%10.3%95.2%105.6LUCKY
26FlyersLightning2110000024-220.50023500002059231818066221249400.00%6266.67%0854171449.82%1014201750.27%538107550.05%44264116341750.0%3.4%93.9%97.3DULL
27FlyersSharks1100000042221.0004812001300399181203513232200.00%10100.00%0854171449.82%1014201750.27%538107550.05%241418817966.7%10.3%94.3%104.5LUCKY
28FlyersGolden Knights2110000087120.5008111900521060231423073184528112.50%2150.00%0854171449.82%1014201750.27%538107550.05%45284116321753.8%13.3%90.4%103.7FUN
_Vs Division301090135282793370.617821232050018273114928303307302411033309155716511223.53%721776.39%0854171449.82%1014201750.27%538107550.05%62736668326852626253.0%8.8%92.4%101.2DULL
_Vs Conference461613033741251196590.641125189314202341511914414654894586515584782431165731621.92%1162181.90%0854171449.82%1014201750.27%538107550.05%982576103041480940152.7%8.7%92.4%101.0DULL
_Since Last GM Reset81362404584218201171050.6482183365544048718722248178987178871270786844721121482919.59%2093881.82%3854171449.82%1014201750.27%538107550.05%173110131788728141570153.7%8.8%92.6%101.4DULL
Total81362404584218201171050.6482183365544048718722248178987178871270786844721121482919.59%2093881.82%3854171449.82%1014201750.27%538107550.05%173110131788728141570153.7%8.8%92.6%101.4DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 22
Puck Time
Offensive Zone Start 1714
Neutral Zone Start 1075
Defensive Zone Start 2017
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2406
Faceoffs Lost 2400
Team Average Shots after League Average Shots after
1st Period 9.79.57
2nd Period 20.520.31
3rd Period 30.230.68
Overtime 31.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.51.65
3rd Period 2.52.67
Overtime 2.82.83
Even Strenght Goal 182
PP Goal 29
PK Goal 3
Empty Net Goal 4
Home Away
Win 2424
Lost 1212
Overtime Lost 45
PP Attempt 148
PP Goal 29
PK Attempt 209
PK Goal Against 38
Home
Shots For 30.6
Shots Against 33.4
Goals For 2.7
Goals Against 2.5
Hits 26.1
Shots Blocked 10.7
Pim 5.5
Cap Hit
Flyers
Projected Total Cap Hit80,475,000$
Projected Cap Space7,525,000$
Retains And Buyout Cap Hit225,000$
Salary Cap To Date73,851,431$
Players In Salary Cap25
LTIR Players1
Flyers Roster Pos Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Adam PelechD261,600,000$1,600,000$ RFA
Ben Hutton D281,500,000$1,500,000$1,500,000$UFA
Brandon MontourD274,000,000$4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$UFA
Carter HuttonG352,750,000$2,750,000$UFA
Claude GirouxC/LW338,275,000$7,200,000$5,000,000$UFA
David Kampf C261,000,000$1,000,000$ RFA
Dougie HamiltonD275,750,000$5,750,000$UFA
Frederik Gauthier C26850,000$850,000$ 850,000$ RFA
Jack JohnsonD343,000,000$3,000,000$UFA
Jeremy Bracco RW24750,000$750,000$ 750,000$ RFA
Justin AbdelkaderLW/RW34600,000$750,000$750,000$750,000$UFA
Justin Kirkland LW24750,000$750,000$ 750,000$ RFA
Kevin Shattenkirk D324,000,000$4,000,000$4,000,000$4,000,000$UFA
Mark ScheifeleC286,125,000$6,125,000$6,125,000$6,125,000$6,125,000$UFA
Mark StoneRW298,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$UFA
Mason Appleton C25750,000$750,000$ 750,000$ RFA
Nathan MacKinnonC256,300,000$6,300,000$6,300,000$6,300,000$ RFA
Nick CousinsC/RW271,000,000$1,000,000$ RFA
Nikita ZaitsevD294,500,000$4,500,000$4,500,000$4,500,000$4,500,000$UFA
Paul ByronLW/RW323,500,000$3,500,000$3,500,000$3,500,000$UFA
Radek FaksaC272,000,000$2,000,000$2,000,000$UFA
Robin Lehner G295,000,000$5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$UFA
Roman Polak D352,000,000$2,000,000$ 2,000,000$ UFA
Tanner Kero C28700,000$750,000$ UFA
Taro Hirose LW241,500,000$1,500,000$ 1,500,000$ RFA
Travis Konecny RW245,500,000$5,500,000$5,500,000$5,500,000$5,500,000$5,500,000$UFA
Non-Roster Pos Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Alexander Volkov LW/RW23950,000$950,000$ 950,000$ RFA
Guillaume Brisebois D23750,000$750,000$ RFA
Matthew Strome LW22804,166$804,166$ RFA

Lines
Forward Lines


Claude Giroux


Paul Byron


Mark Scheifele


Travis Konecny


Taro Hirose


Radek Faksa


Nick Cousins


David Kampf


Jeremy Bracco

Defensive Pairings


Jack Johnson


Kevin Shattenkirk


Nikita Zaitsev


Ben Hutton


Roman Polak

1st Power Play Unit


Claude Giroux


Jack Johnson


Kevin Shattenkirk

2nd Power Play Unit


Paul Byron


Mark Scheifele


Travis Konecny


Nikita Zaitsev

Goalies


Carter Hutton


Robin Lehner

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
1FlyersBruins2010001078-120.500711181003317423262177818853100.00%40100.00%0854171449.82%1014201750.27%538107550.05%45284517331646.7%9.5%89.7%99.2FUN
2FlyersAvalanche2100010065130.7506713003030722622240672710374125.00%5180.00%0854171449.82%1014201750.27%538107550.05%45284217321655.6%8.3%92.5%100.9DULL
3FlyersMaple Leafs2010001056-120.500561110031263182421374281861100.00%9188.89%0854171449.82%1014201750.27%538107550.05%44264418351750.0%7.9%91.9%99.8DULL
4FlyersCanucks2020000036-300.0003580001206013222506221855600.00%4175.00%0854171449.82%1014201750.27%538107550.05%44263917351737.5%5.0%90.3%95.3Unlucky
5FlyersPredators2110000055020.500581300131053182213063161459000.00%7271.43%1854171449.82%1014201750.27%538107550.05%39224617331562.5%9.4%92.1%101.5LUCKY
6FlyersPenguins53100010158780.800152237003652170654855617145241358450.00%12283.33%0854171449.82%1014201750.27%538107550.05%1126810843844264.7%8.8%95.3%104.1DULL
7FlyersBlues3200010096350.833912210032408318452001023016675360.00%9188.89%0854171449.82%1014201750.27%538107550.05%62356827522554.5%10.8%94.1%105.0LUCKY
8FlyersCapitals510011201512390.9001520350005751624162551017953141047342.86%7357.14%0854171449.82%1014201750.27%538107550.05%1086411443884557.1%9.3%93.3%102.6LUCKY
9FlyersSabres2100100075241.00071320001231662123184682410653133.33%50100.00%0854171449.82%1014201750.27%538107550.05%45264118351754.5%10.6%92.6%103.3LUCKY
10FlyersJets2200000074341.0007121900124068193019062218549222.22%40100.00%0854171449.82%1014201750.27%538107550.05%44264117331855.6%10.3%93.5%103.8LUCKY
11FlyersStars2110000055020.5005101510212051221217052231860500.00%9277.78%0854171449.82%1014201750.27%538107550.05%40204319361762.5%9.8%90.4%100.2FUN
12FlyersFlames2200000082641.0008122000152052152413063186645240.00%30100.00%0854171449.82%1014201750.27%538107550.05%43254217341775.0%15.4%96.8%112.2LUCKY
13FlyersDevils61400001919-1030.2509162500324017166534982077536138600.00%18288.89%0854171449.82%1014201750.27%538107550.05%11767144551034934.6%5.3%90.8%96.1Unlucky
14FlyersBlackhawks7510001017116120.8571727440054722118069604249953617714214.29%18288.89%1854171449.82%1014201750.27%538107550.05%14382160641205862.5%8.1%95.6%103.6DULL
15FlyersHurricanes522001001413150.5001421350035601635058532158542812713323.08%14564.29%0854171449.82%1014201750.27%538107550.05%1086410444884457.9%8.6%91.8%100.4DULL
16FlyersKings2110000035-220.50035800012063163017059231370100.00%4250.00%0854171449.82%1014201750.27%538107550.05%45274017341750.0%4.8%91.5%96.3DULL
17FlyersCanadiens2110000075220.50071219002230662427150602110523133.33%50100.00%0854171449.82%1014201750.27%538107550.05%45274116331654.5%10.6%91.7%102.3LUCKY
18FlyersOilers31200000412-820.333459001210782226300100303980500.00%12283.33%1854171449.82%1014201750.27%538107550.05%61356627512428.6%5.1%88.0%93.1Unlucky
19FlyersBlue Jackets522000101416-260.6001421350044531444351504180412412314214.29%12375.00%0854171449.82%1014201750.27%538107550.05%1035711445874448.0%9.7%91.1%100.8Unlucky
20FlyersPanthers2100000155030.750571200113066232517357241244200.00%60100.00%0854171449.82%1014201750.27%538107550.05%43254419371750.0%7.6%91.2%98.8DULL
21FlyersCoyotes2010100067-120.50061117000321561516232671420622150.00%10280.00%0854171449.82%1014201750.27%538107550.05%42224218371850.0%10.7%89.6%100.3FUN
22FlyersSenators2100000144030.7504711001030611420264591512794250.00%6183.33%0854171449.82%1014201750.27%538107550.05%43244220391740.0%6.6%93.2%99.8DULL
23FlyersWild3210000085340.66781422102150942832340954110789111.11%5180.00%0854171449.82%1014201750.27%538107550.05%65396226512663.6%8.5%94.7%103.2DULL
24FlyersRangers410001111511460.75015233800554411838354011138412989300.00%9277.78%0854171449.82%1014201750.27%538107550.05%78449837743662.5%12.7%92.0%104.7LUCKY
25FlyersRed Wings2100100063341.00067130003215816192036317646400.00%30100.00%0854171449.82%1014201750.27%538107550.05%42254517331766.7%10.3%95.2%105.6LUCKY
26FlyersLightning2110000024-220.50023500002059231818066221249400.00%6266.67%0854171449.82%1014201750.27%538107550.05%44264116341750.0%3.4%93.9%97.3DULL
27FlyersSharks1100000042221.0004812001300399181203513232200.00%10100.00%0854171449.82%1014201750.27%538107550.05%241418817966.7%10.3%94.3%104.5LUCKY
28FlyersGolden Knights2110000087120.5008111900521060231423073184528112.50%2150.00%0854171449.82%1014201750.27%538107550.05%45284116321753.8%13.3%90.4%103.7FUN
_Vs Division301090135282793370.617821232050018273114928303307302411033309155716511223.53%721776.39%0854171449.82%1014201750.27%538107550.05%62736668326852626253.0%8.8%92.4%101.2DULL
_Vs Conference461613033741251196590.641125189314202341511914414654894586515584782431165731621.92%1162181.90%0854171449.82%1014201750.27%538107550.05%982576103041480940152.7%8.7%92.4%101.0DULL
_Since Last GM Reset81362404584218201171050.6482183365544048718722248178987178871270786844721121482919.59%2093881.82%3854171449.82%1014201750.27%538107550.05%173110131788728141570153.7%8.8%92.6%101.4DULL
Total81362404584218201171050.6482183365544048718722248178987178871270786844721121482919.59%2093881.82%3854171449.82%1014201750.27%538107550.05%173110131788728141570153.7%8.8%92.6%101.4DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 22
Puck Time
Offensive Zone Start 1714
Neutral Zone Start 1075
Defensive Zone Start 2017
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2406
Faceoffs Lost 2400
Team Average Shots after League Average Shots after
1st Period 9.79.57
2nd Period 20.520.31
3rd Period 30.230.68
Overtime 31.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.51.65
3rd Period 2.52.67
Overtime 2.82.83
Even Strenght Goal 182
PP Goal 29
PK Goal 3
Empty Net Goal 4
Home Away
Win 2424
Lost 1212
Overtime Lost 45
PP Attempt 148
PP Goal 29
PK Attempt 209
PK Goal Against 38
Home
Shots For 30.6
Shots Against 33.4
Goals For 2.7
Goals Against 2.5
Hits 26.1
Shots Blocked 10.7
Pim 5.5
Schedule
DateMatchup Result Detail
2020-12-09FlyersPHIVSFlyersCHIPHI3,CHI1RECAP
2020-12-12FlyersPHIVSFlyersNJDPHI1,NJD2RECAP
2020-12-13FlyersCBJVSFlyersPHICBJ5,PHI6 (SO)RECAP
2020-12-14FlyersPHIVSFlyersCHIPHI3,CHI2RECAP
2020-12-18FlyersPITVSFlyersPHIPIT1,PHI2 (SO)RECAP
2020-12-20FlyersPHIVSFlyersCARPHI1,CAR2RECAP
2020-12-21FlyersPHIVSFlyersCHIPHI2,CHI1RECAP
2020-12-22FlyersNJDVSFlyersPHINJD3,PHI1RECAP
2020-12-26FlyersWSHVSFlyersPHIWSH1,PHI2 (SO)RECAP
2020-12-29FlyersNJDVSFlyersPHINJD4,PHI0RECAP
2020-12-30FlyersPHIVSFlyersCARPHI3,CAR4 (OT)RECAP
2021-01-02FlyersWSHVSFlyersPHIWSH4,PHI3 (OT)RECAP
2021-01-04FlyersPHIVSFlyersNJDPHI2,NJD5RECAP
2021-01-06FlyersPHIVSFlyersEDMPHI2,EDM1RECAP
2021-01-08FlyersSTLVSFlyersPHISTL1,PHI3RECAP
2021-01-10FlyersPHIVSFlyersPITPHI5,PIT1RECAP
2021-01-12FlyersPHIVSFlyersCBJPHI0,CBJ4RECAP
2021-01-13FlyersMINVSFlyersPHIMIN3,PHI1RECAP
2021-01-16FlyersPHIVSFlyersCARPHI4,CAR1RECAP
2021-01-17FlyersPITVSFlyersPHIPIT2,PHI4RECAP
2021-01-20FlyersPHIVSFlyersDALPHI0,DAL2RECAP
2021-01-22FlyersMTLVSFlyersPHIMTL2,PHI1RECAP
2021-01-26FlyersMINVSFlyersPHIMIN1,PHI4RECAP
2021-01-29FlyersPHIVSFlyersSTLPHI3,STL4 (OT)RECAP
2021-01-31FlyersCOLVSFlyersPHICOL3,PHI2 (OT)RECAP
2021-02-02FlyersPHIVSFlyersOTTPHI2,OTT3 (SO)RECAP
2021-02-04FlyersOTTVSFlyersPHIOTT1,PHI2RECAP
2021-02-06FlyersPHIVSFlyersTORPHI4,TOR3 (SO)RECAP
2021-02-08FlyersCHIVSFlyersPHICHI1,PHI2 (SO)RECAP
2021-02-10FlyersPHIVSFlyersVANPHI2,VAN4RECAP
2021-02-13FlyersPHIVSFlyersPITPHI1,PIT3RECAP
2021-02-14FlyersTBLVSFlyersPHITBL3,PHI0RECAP
2021-02-18FlyersDALVSFlyersPHIDAL3,PHI5RECAP
2021-02-22FlyersNJDVSFlyersPHINJD2,PHI3RECAP
2021-02-26FlyersPHIVSFlyersCGYPHI5,CGY1RECAP
2021-02-28FlyersNSHVSFlyersPHINSH1,PHI3RECAP
2021-03-02FlyersPHIVSFlyersFLAPHI2,FLA1RECAP
2021-03-04FlyersPHIVSFlyersTBLPHI2,TBL1RECAP
2021-03-06FlyersSTLVSFlyersPHISTL1,PHI3RECAP
2021-03-10FlyersBufVSFlyersPHIBuf2,PHI3 (OT)RECAP
2021-03-12FlyersPHIVSFlyersMTLPHI6,MTL3RECAP
2021-03-14FlyersBOSVSFlyersPHIBOS3,PHI4 (SO)RECAP
2021-03-16FlyersPHIVSFlyersBOSPHI3,BOS5RECAP
2021-03-19FlyersPHIVSFlyersNJDPHI2,NJD3 (SO)RECAP
2021-03-21FlyersTORVSFlyersPHITOR3,PHI1RECAP
2021-03-24FlyersPHIVSFlyersVGKPHI4,VGK2RECAP
2021-03-25FlyersCHIVSFlyersPHICHI1,PHI3RECAP
2021-03-28FlyersPHIVSFlyersMINPHI3,MIN1RECAP
2021-03-30FlyersWPGVSFlyersPHIWPG1,PHI2RECAP
2021-04-01FlyersPHIVSFlyersWPGPHI5,WPG3RECAP
2021-04-03FlyersPHIVSFlyersCOLPHI4,COL2RECAP
2021-04-04FlyersCGYVSFlyersPHICGY1,PHI3RECAP
2021-04-08FlyersPHIVSFlyersSJSPHI4,SJS2RECAP
2021-04-09FlyersCARVSFlyersPHICAR5,PHI3RECAP
2021-04-12FlyersPHIVSFlyersLAKPHI2,LAK1RECAP
2021-04-14FlyersVGKVSFlyersPHIVGK5,PHI4RECAP
2021-04-17FlyersPITVSFlyersPHIPIT1,PHI3RECAP
2021-04-19FlyersPHIVSFlyersCBJPHI2,CBJ3RECAP
2021-04-21FlyersEDMVSFlyersPHIEDM7,PHI1RECAP
2021-04-23FlyersPHIVSFlyersDETPHI3,DET2 (OT)RECAP
2021-04-24FlyersPHIVSFlyersWSHPHI3,WSH2RECAP
2021-04-26FlyersDETVSFlyersPHIDET1,PHI3RECAP
2021-05-01FlyersVANVSFlyersPHIVAN2,PHI1RECAP
2021-05-05FlyersFLAVSFlyersPHIFLA4,PHI3 (SO)RECAP
2021-05-07FlyersPHIVSFlyersCHIPHI3,CHI2RECAP
Trade Deadline --- Trades cant be done after this day is simulated!
2021-05-10FlyersCARVSFlyersPHICAR1,PHI3RECAP
2021-05-12FlyersPHIVSFlyersCHIPHI1,CHI3RECAP
2021-05-14FlyersPHIVSFlyersWSHPHI4,WSH3 (OT)RECAP
2021-05-15FlyersCBJVSFlyersPHICBJ3,PHI4RECAP
2021-05-17FlyersPHIVSFlyersEDMPHI1,EDM4RECAP
2021-05-19FlyersLAKVSFlyersPHILAK4,PHI1RECAP
2021-05-23FlyersARIVSFlyersPHIARI4,PHI2RECAP
2021-05-24FlyersPHIVSFlyersNSHPHI2,NSH4RECAP
2021-05-28FlyersNYRVSFlyersPHINYR1,PHI6RECAP
2021-05-30FlyersPHIVSFlyersNYRPHI3,NYR4 (OT)RECAP
2021-06-02FlyersWSHVSFlyersPHIWSH2,PHI3 (SO)RECAP
2021-06-04FlyersPHIVSFlyersNYRPHI4,NYR3 (SO)RECAP
2021-06-07FlyersNYRVSFlyersPHINYR3,PHI2 (SO)RECAP
2021-06-09FlyersPHIVSFlyersARIPHI4,ARI3 (OT)RECAP
2021-06-13FlyersCBJVSFlyersPHICBJ1,PHI2RECAP
2021-06-15FlyersPHIVSFlyersBufPHI4,Buf3RECAP
2021-06-20FlyersSJSVSFlyersPHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
81,325,000$ 225,000$ 80,475,000$ 7,525,000$

ArenaGoal HornAbout us
NameWells Fargo Center
CityPhiladelphia
Capacity19519
Season Ticket Holders80%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005519300040001000
Ticket Price130$105$70$50$220$
Attendance19797717694510543613501235357
Attendance PCT82.49%80.15%87.86%84.38%88.39%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
1 16268 - 83.35% 2,069,559$82,782,369$19519100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
81,325,000$ 82,200,000$ 0$ 225,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
81,328,320$ 80,475,000$ 73,851,431$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,069,559$ 7 440,434$ 3,083,038$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,139,873$ 80,475,000$ 60,405,700$ 59,498,800$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Claude GirouxOV: 0Age: 33FlyersCAN
Paul ByronOV: 0Age: 32FlyersCAN
Taro HiroseOV: 0Age: 24FlyersCAN
Alexander VolkovOV: 0Age: 23FlyersRUS
Matthew StromeOV: 0Age: 22FlyersCAN
Justin KirklandOV: 0Age: 24FlyersCAN
Justin AbdelkaderOV: 0Age: 34FlyersUSA
Claude GirouxOV: 0Age: 33FlyersCAN
Nathan MacKinnonOV: 0Age: 25FlyersCAN
Mark ScheifeleOV: 0Age: 28FlyersCAN
Radek FaksaOV: 0Age: 27FlyersCZE
David KampfOV: 0Age: 26FlyersCZE
Nick CousinsOV: 0Age: 27FlyersCAN
Frederik GauthierOV: 0Age: 26FlyersCAN
Mason AppletonOV: 0Age: 25FlyersUSA
Tanner KeroOV: 0Age: 28FlyersUSA
Mark StoneOV: 0Age: 29FlyersCAN
Travis KonecnyOV: 0Age: 24FlyersCAN
Paul ByronOV: 0Age: 32FlyersCAN
Nick CousinsOV: 0Age: 27FlyersCAN
Alexander VolkovOV: 0Age: 23FlyersRUS
Jeremy BraccoOV: 0Age: 24FlyersUSA
Justin AbdelkaderOV: 0Age: 34FlyersUSA

Defense #1Defense #2Goalie
Dougie HamiltonOV: 0Age: 27FlyersCAN
Nikita ZaitsevOV: 0Age: 29FlyersRUS
Kevin ShattenkirkOV: 0Age: 32FlyersUSA
Brandon MontourOV: 0Age: 27FlyersCAN
Jack JohnsonOV: 0Age: 34FlyersUSA
Roman PolakOV: 0Age: 35FlyersCZE
Adam PelechOV: 0Age: 26FlyersCAN
Ben HuttonOV: 0Age: 28FlyersCAN
Guillaume BriseboisOV: 0Age: 23FlyersCAN
Robin LehnerOV: 0Age: 29FlyersSWE
Carter HuttonOV: 0Age: 35FlyersCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
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
Alexander VolkovFlyersFlyers
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
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
Alexander VolkovFlyersFlyers

Injuries
No Injury or Suspension.

Game Center

Team Leaders

GOALS
Travis Konecny
35
ASSISTS
Claude Giroux
39
POINTS
Claude Giroux
68
PLUS/MINUS
Travis Konecny
16
WINS
Robin Lehner
42
SV%
Robin Lehner
0.932

Team Stats


Goals For
218
2.69 GFG
Shots For
2481
30.63 Avg
Power Play Percentage
19.6%
29 GF
Offensive Zone Start
45.9%
Goals Against
201
2.48 GAA
Shots Against
2707
33.42 Avg
Penalty Kill Percentage
81.8%
38 GA
Defensive Zone Start
54.1%
 

Team Info

Flyers
General ManagerJonathan Lecompte
Head CoachJon Cooper
ConferenceEastern Conference
DivisionMetropolitan

Flyers Affiliation

Flyers
Team NamePhantoms
CityLehigh Valley
Head CoachJacques Martin
DivisionAtlantique

Arena Info

StadiumWells Fargo Center
Capacity19,519
Attendance16,268
Season Tickets15,615

Salary Cap

Total Cap Hit80,475,000$
Cap Hit Percentage91.45%
Projected Cap Space7,525,000$
Retains & Buyout225,000$

Finance

Team Revenue82,782,369$
Estimated Revenue85,015,342$
Estimated Expenses84,411,358$
Operating Income603,984$
Bank Account60,405,700$

Tickets

Section 100130$ | 82.49%
Section 200105$ | 80.15%
Section 30070$ | 87.86%
Section 40050$ | 84.38%
Suites220$ | 88.39%

Team History

Playoff Appearances3
Playoff Record (W-L)11-16
Stanley Cup0

Entry Draft