Last update: 2023-12-07 20:04:25


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FlyersPhiladelphia Flyers
17-8-6, 40pts · 4th in Eastern Conference
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Nikita KucherovRW99.00704081827184809053967864587463082309,500,000$/5yrs
Nico Hischier (A)C100.00674791876582867885857676546672080247,250,000$/5yrs
Tage ThompsonC/RW100.00696483818179888268828664716359080261,400,000$/8yrs
Pierre-Luc DuboisC/LW100.00735765798180907576817567836759078256,000,000$/9yrs
Mikael Backlund (C)C100.00724082788278936981806875608372077345,350,000$/2yrs
Ivan BarbashevC/LW100.00785883717575927061797068546759075272,250,000$/6yrs
Jack RoslovicC/RW100.00704090797774906970786765546659074264,000,000$/2yrs
Tyler BertuzziLW/RW100.00756584707377777253806867546459074284,750,000$/2yrs
Blake ColemanLW/RW100.00784876688372946558746973576859073324,900,000$/5yrs
Colton SissonsC/RW100.00774086647873936385736576547159072302,857,143$/4yrs
Taylor RaddyshRW100.0075409066747283645672687154585807225758,333$/2yrs
Jack McBainC/LW100.0087607768766975606571657354565807123883,750$/3yrs
Zach WerenskiD100.00644091948494726940806781546865080269,583,333$/6yrs
Thomas Chabot (A)D100.00724075867497857040796478546666078268,000,000$/6yrs
Rasmus SandinD100.00746087837080796540766378545858075231,400,000$/2yrs
Sean DurziD100.00716777747783806740766382545758075251,700,000$/2yrs
Mattias SamuelssonD100.0075408367908872594072588754575807423925,000$/8yrs
Nicolas HagueD100.00705781698779886040726082546058073252,294,150$/3yrs
Scratches
Oskar LindblomLW100.00724086637362896156706371546459069273,000,000$/3yrs
Matt BenningD100.00654783618081886140635993546859072291,250,000$/4yrs
TEAM AVERAGE99.95735083757879856857776875576561075
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Jake Allen34100.0070818180817581608575917363077332,850,000$/1yrs
Kevin Lankinen3299.0076686980877881718474935955077281,500,000$/2yrs
Scratches
Kaapo Kahkonen36100.0068797881747579608174755955074272,750,000$/2yrs
TEAM AVERAGE99.6771767680817680648374866458076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Montgomery8490897978861CAN5313,800,000$
General Manager
Stephane Carrier
Player Stats
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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 PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Tage ThompsonFlyersFlyers72C/RW311819372312040113247515.93%221.33448000263256.46%011.19111.38
2Nico HischierFlyersFlyers13C3117143119402190297118.89%1119.03000000103151.28%011.00111.16
3Zach WerenskiFlyersFlyers8D3171825-1602358113912.07%5125.2944800043110.00%000.81000.74
4Tyler BertuzziFlyersFlyers59LW/RW314162021280485316397.55%319.3203300002125.71%000.65000.70
5Rasmus SandinFlyersFlyers19D31313161316043212814.29%2516.930110009200.00%000.52000.51
6Nikita KucherovFlyersFlyers86RW319615-1803171224412.68%118.35022000132036.36%000.48130.50
7Thomas ChabotFlyersFlyers71D31311144280764319236.98%2325.7524600064010.00%000.45000.39
8Sean DurziFlyersFlyers50D3141014122005735102911.43%3820.5811200072010.00%000.45000.53
9Pierre-Luc DuboisFlyersFlyers80C/LW31189-7100448024421.25%615.60022000520057.23%000.29010.33
10Mikael BacklundFlyersFlyers11C314481100395712437.02%316.5900000000052.22%000.26000.33
11Ivan BarbashevFlyersFlyers49C/LW31347340625711325.26%217.1500000001030.43%000.23020.38
12Mattias SamuelssonFlyersFlyers23D31336-424038195915.79%2415.3200000064010.00%000.19000.06
13Nicolas HagueFlyersFlyers14D31134-44029179105.88%2516.9010100065000.00%000.13000.12
14Jack RoslovicFlyersFlyers96C/RW31224-74012377235.41%111.6200000000148.65%000.13000.08
15Jack McBainFlyersFlyers24C/LW31303-512024225613.64%27.71000000401053.33%000.10000.02
16Taylor RaddyshFlyersFlyers11RW31033-72019278180.00%310.2100000000042.86%000.10000.07
17Colton SissonsFlyersFlyers10C/RW31022-5209226210.00%89.23000000850051.69%000.06000.05
18Blake ColemanFlyersFlyers20LW/RW31022-72015347170.00%09.88000000870039.90%000.06000.04
Team Total or Average558821382204819606308562275499.58%22816.4912213366400063715949.96%249200020.4838
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
1Jake AllenFlyersFlyers239860.8892.91138020676060000.8336238110
2Kevin LankinenFlyersFlyers98000.9341.7950320152280001.0002823100
Team Total or Average3217860.9022.61188340828340000.87583131210
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
1FlyersRed Wings1010000012-100.0001120000101425703710829000.00%4175.00%050399950.35%48397249.69%25948553.40%191226713650.0%7.1%94.6%101.7DULL
2FlyersSenators2010010058-310.25059140040105318122035311234400.00%10100.00%050399950.35%48397249.69%25948553.40%47335115251238.5%9.4%84.9%94.3FUN
3FlyersBlue Jackets2200000085341.0008132100242051142017055121639200.00%8362.50%050399950.35%48397249.69%25948553.40%51364413231280.0%15.7%90.9%106.6FUN
4FlyersCapitals2110000033020.5003690010204181518041201445600.00%70100.00%050399950.35%48397249.69%25948553.40%49334515251250.0%7.3%92.7%100.0DULL
5FlyersRangers31100100810-230.50081321004220903331260803216739222.22%8187.50%050399950.35%48397249.69%25948553.40%69487421381840.0%8.9%87.5%96.4Unlucky
6FlyersPenguins613002001321-840.333132134003550161634155216953461241100.00%23673.91%050399950.35%48397249.69%25948553.40%1409314244793946.4%8.1%87.6%95.6Unlucky
7FlyersWild2100100094541.00091726004131661829172501714409222.22%6266.67%050399950.35%48397249.69%25948553.40%50364614241277.8%13.6%92.0%105.6LUCKY
8FlyersCanucks2100010055030.750571200113060181824049121438500.00%6183.33%050399950.35%48397249.69%25948553.40%50354314261355.6%8.3%89.8%98.1Unlucky
9FlyersAvalanche1000000123-110.5002460011003259138306615000.00%3166.67%050399950.35%48397249.69%25948553.40%292221713650.0%6.3%90.0%96.3Unlucky
10FlyersOilers1010000024-200.00024600002028911802651016100.00%3166.67%050399950.35%48397249.69%25948553.40%292218612640.0%7.1%84.6%91.8Unlucky
11FlyersStars1100000043121.0004711000310277119030610255120.00%50100.00%050399950.35%48397249.69%25948553.40%241622712650.0%14.8%90.0%104.8FUN
12FlyersKings1100000032121.00036900102022877031661511100.00%3166.67%050399950.35%48397249.69%25948553.40%211424714666.7%13.6%93.5%107.2LUCKY
13FlyersMaple Leafs1000001032121.00034700110237101014632461911100.00%3166.67%050399950.35%48397249.69%25948553.40%271924612666.7%8.1%93.8%101.9DULL
14FlyersLightnings2200000086241.00081220002420611826170581318277228.57%8187.50%050399950.35%48397249.69%25948553.40%46315014231154.5%13.1%89.7%102.8FUN
15FlyersHurricanes1000001021121.00021300010130612113307420200.00%20100.00%050399950.35%48397249.69%25948553.40%251826712666.7%6.7%96.7%103.3DULL
16FlyersGolden Knights1100000031221.000369000300257126024662311100.00%3166.67%050399950.35%48397249.69%25948553.40%2518216126100.0%12.0%95.8%107.8LUCKY
17FlyersKraken2200000053241.000571200311058132322039844810220.00%20100.00%050399950.35%48397249.69%25948553.40%55393913251350.0%8.6%92.3%100.9DULL
_Vs Division1455003103440-6150.5363454880010121113731241191275375124963013026.67%481079.17%050399950.35%48397249.69%25948553.40%3362313331011798951.6%9.1%89.3%98.4FUN
_Vs Conference2077004205158-7220.55051801310017171535381721721851455516213041042511.90%641379.69%050399950.35%48397249.69%25948553.40%47632848514625512650.5%9.5%89.5%99.0FUN
_Since Last GM Reset311480152184831400.6458413822200272727485625729229124834228200630741216.22%952078.95%050399950.35%48397249.69%25948553.40%76553472222439719753.3%9.8%90.0%99.9FUN
Total311480152184831400.6458413822200272727485625729229124834228200630741216.22%952078.95%050399950.35%48397249.69%25948553.40%76553472222439719753.3%9.8%90.0%99.9FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 999
Neutral Zone Start 485
Defensive Zone Start 972
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 1245
Faceoffs Lost 1211
Team Average Shots after League Average Shots after
1st Period 8.39.57
2nd Period 17.720.31
3rd Period 27.130.68
Overtime 27.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.62.67
Overtime 2.72.83
Even Strenght Goal 72
PP Goal 12
PK Goal 0
Empty Net Goal 0
Home Away
Win 98
Lost 44
Overtime Lost 24
PP Attempt 74
PP Goal 12
PK Attempt 95
PK Goal Against 20
Home
Shots For 27.6
Shots Against 26.9
Goals For 2.7
Goals Against 2.7
Hits 20.3
Shots Blocked 7.4
Pim 6.5
Cap Hit
Flyers
Projected Total Cap Hit85,151,709$
Projected Cap Space2,848,291$
Retains And Buyout Cap Hit0$
Salary Cap To Date29,827,146$
Players In Salary Cap23
Contracts52/50
LTIR Players0
Flyers Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Blake Coleman LW/RW324,900,000$4,900,000$ 4,900,000$ 4,900,000$ 4,900,000$ 4,900,000$ UFA
Colton Sissons C/RW302,857,143$2,857,143$ 2,857,143$ 2,857,143$ 2,857,143$ UFA
Ivan Barbashev C/LW272,250,000$2,250,000$ 5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$ UFA
Jack McBain C/LW23883,750$883,750$ 1,599,999$ 1,599,999$ RFA
Jack Roslovic C/RW264,000,000$4,000,000$ 4,000,000$ RFA
Jake Allen G332,850,000$2,850,000$ UFA
Kaapo Kahkonen G272,750,000$2,750,000$ 2,750,000$ RFA
Kevin Lankinen G281,500,000$1,500,000$ 2,000,000$ UFA
Matt Benning D291,250,000$1,250,000$ 1,250,000$ 1,250,000$ 1,250,000$ UFA
Mattias Samuelsson D23925,000$925,000$ 4,285,714$ 4,285,714$ 4,285,714$ 4,285,714$ 4,285,714$ 4,285,714$ 4,285,714$
Mikael Backlund C345,350,000$5,350,000$ 5,350,000$ UFA
Nico Hischier C247,250,000$7,250,000$ 7,250,000$ 7,250,000$ 7,250,000$ 7,250,000$ UFA
Nicolas Hague D252,294,150$2,294,150$ 2,294,150$ 2,294,150$ RFA
Nikita Kucherov RW309,500,000$9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$ UFA
Oskar Lindblom LW273,000,000$3,000,000$ 2,500,000$ 2,500,000$ UFA
Pierre-Luc Dubois C/LW256,000,000$6,000,000$ 8,500,000$ 8,500,000$ 8,500,000$ 8,500,000$ 8,500,000$ 8,500,000$ 8,500,000$
Rasmus Sandin D231,400,000$1,400,000$ 1,400,000$ RFA
Sean Durzi D251,700,000$1,700,000$ 1,700,000$ RFA
Tage Thompson C/RW261,400,000$1,400,000$ 7,142,857$ 7,142,857$ 7,142,857$ 7,142,857$ 7,142,857$ 7,142,857$ 7,142,857$
Taylor Raddysh RW25758,333$758,333$ 758,333$ RFA
Thomas Chabot D268,000,000$8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$ UFA
Tyler Bertuzzi LW/RW284,750,000$4,750,000$ 5,500,000$ UFA
Zach Werenski D269,583,333$9,583,333$ 9,583,333$ 9,583,333$ 9,583,333$ 9,583,333$ 9,583,333$ UFA
Non-Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Adam Brooks C27762,500$762,500$ 762,500$ UFA
Adam Mascherin C/LW25750,000$750,000$ RFA
Alex Turcotte C22925,000$894,167$ 894,167$ RFA
Alexey Toropchenko LW/RW24750,000$750,000$ 1,250,000$ RFA
Anthony Richard LW/RW26750,000$750,000$ 775,000$ RFA
Arvid Henrikson D25750,000$750,000$ RFA
Beck Warm G24750,000$750,000$ RFA
Brett Brochu G21750,000$750,000$ RFA
Cam York D22880,833$880,833$ 1,600,000$ 1,600,000$ RFA
Cedrick Andree G23750,000$750,000$ RFA
Chaz Lucius C20750,000$750,000$ 894,167$ 894,167$ 894,167$ RFA
Devin Cooley G26787,500$787,500$ 775,000$ RFA
Eetu Makiniemi G24867,500$867,500$ 775,000$ RFA
Elliot Desnoyers C/LW21825,000$825,000$ 825,000$ 825,000$ RFA
Frederic Allard D25750,000$750,000$ RFA
Hugo Alnefelt G22850,833$850,833$ 850,833$ RFA
Janne Kuokkanen C/LW251,825,000$1,825,000$ RFA
Joey Daccord G27750,000$750,000$ 1,200,000$ 1,200,000$ UFA
Leevi Merilainen G21820,000$820,000$ 820,000$ 820,000$ RFA
Libor Hajek D25800,000$800,000$ RFA
Mackenzie Entwistle C/RW24800,000$800,000$ 800,000$ RFA
Matthew Cairns D25750,000$750,000$ RFA
Michael Chaput C31750,000$750,000$ UFA
Otto Koivula C/LW/RW25800,000$800,000$ 800,000$ RFA
Samuel Bolduc D22842,500$842,500$ 800,000$ 800,000$ RFA
Sebastian Cossa G21894,167$894,167$ 863,333$ 863,333$ 863,333$ RFA
Serron Noel RW23894,167$894,167$ RFA
Shane Wright C19950,000$950,000$ 950,000$ 950,000$ RFA
Simon Lundmark D23850,833$850,833$ 850,833$ RFA
Turner Elson LW31750,000$750,000$ UFA
Ty Emberson D23853,333$853,333$ 775,000$ RFA
Tyson Foerster C/RW21925,000$863,333$ 863,333$ 863,333$ RFA

Lines
Forward Lines


Tyler Bertuzzi


Nico Hischier


Tage Thompson


Pierre-Luc Dubois


Mikael Backlund


Nikita Kucherov


Ivan Barbashev


Jack Roslovic


Taylor Raddysh


Colton Sissons


Blake Coleman


Jack McBain

Defensive Pairings


Zach Werenski


Thomas Chabot


Sean Durzi


Rasmus Sandin


Nicolas Hague


Mattias Samuelsson

1st Power Play Unit


Tyler Bertuzzi


Pierre-Luc Dubois


Tage Thompson


Zach Werenski


Thomas Chabot

2nd Power Play Unit


Pierre-Luc Dubois


Mikael Backlund


Nikita Kucherov


Sean Durzi


Nicolas Hague

Goalies


Kevin Lankinen


Jake Allen

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
1FlyersRed Wings1010000012-100.0001120000101425703710829000.00%4175.00%050399950.35%48397249.69%25948553.40%191226713650.0%7.1%94.6%101.7DULL
2FlyersSenators2010010058-310.25059140040105318122035311234400.00%10100.00%050399950.35%48397249.69%25948553.40%47335115251238.5%9.4%84.9%94.3FUN
3FlyersBlue Jackets2200000085341.0008132100242051142017055121639200.00%8362.50%050399950.35%48397249.69%25948553.40%51364413231280.0%15.7%90.9%106.6FUN
4FlyersCapitals2110000033020.5003690010204181518041201445600.00%70100.00%050399950.35%48397249.69%25948553.40%49334515251250.0%7.3%92.7%100.0DULL
5FlyersRangers31100100810-230.50081321004220903331260803216739222.22%8187.50%050399950.35%48397249.69%25948553.40%69487421381840.0%8.9%87.5%96.4Unlucky
6FlyersPenguins613002001321-840.333132134003550161634155216953461241100.00%23673.91%050399950.35%48397249.69%25948553.40%1409314244793946.4%8.1%87.6%95.6Unlucky
7FlyersWild2100100094541.00091726004131661829172501714409222.22%6266.67%050399950.35%48397249.69%25948553.40%50364614241277.8%13.6%92.0%105.6LUCKY
8FlyersCanucks2100010055030.750571200113060181824049121438500.00%6183.33%050399950.35%48397249.69%25948553.40%50354314261355.6%8.3%89.8%98.1Unlucky
9FlyersAvalanche1000000123-110.5002460011003259138306615000.00%3166.67%050399950.35%48397249.69%25948553.40%292221713650.0%6.3%90.0%96.3Unlucky
10FlyersOilers1010000024-200.00024600002028911802651016100.00%3166.67%050399950.35%48397249.69%25948553.40%292218612640.0%7.1%84.6%91.8Unlucky
11FlyersStars1100000043121.0004711000310277119030610255120.00%50100.00%050399950.35%48397249.69%25948553.40%241622712650.0%14.8%90.0%104.8FUN
12FlyersKings1100000032121.00036900102022877031661511100.00%3166.67%050399950.35%48397249.69%25948553.40%211424714666.7%13.6%93.5%107.2LUCKY
13FlyersMaple Leafs1000001032121.00034700110237101014632461911100.00%3166.67%050399950.35%48397249.69%25948553.40%271924612666.7%8.1%93.8%101.9DULL
14FlyersLightnings2200000086241.00081220002420611826170581318277228.57%8187.50%050399950.35%48397249.69%25948553.40%46315014231154.5%13.1%89.7%102.8FUN
15FlyersHurricanes1000001021121.00021300010130612113307420200.00%20100.00%050399950.35%48397249.69%25948553.40%251826712666.7%6.7%96.7%103.3DULL
16FlyersGolden Knights1100000031221.000369000300257126024662311100.00%3166.67%050399950.35%48397249.69%25948553.40%2518216126100.0%12.0%95.8%107.8LUCKY
17FlyersKraken2200000053241.000571200311058132322039844810220.00%20100.00%050399950.35%48397249.69%25948553.40%55393913251350.0%8.6%92.3%100.9DULL
_Vs Division1455003103440-6150.5363454880010121113731241191275375124963013026.67%481079.17%050399950.35%48397249.69%25948553.40%3362313331011798951.6%9.1%89.3%98.4FUN
_Vs Conference2077004205158-7220.55051801310017171535381721721851455516213041042511.90%641379.69%050399950.35%48397249.69%25948553.40%47632848514625512650.5%9.5%89.5%99.0FUN
_Since Last GM Reset311480152184831400.6458413822200272727485625729229124834228200630741216.22%952078.95%050399950.35%48397249.69%25948553.40%76553472222439719753.3%9.8%90.0%99.9FUN
Total311480152184831400.6458413822200272727485625729229124834228200630741216.22%952078.95%050399950.35%48397249.69%25948553.40%76553472222439719753.3%9.8%90.0%99.9FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 999
Neutral Zone Start 485
Defensive Zone Start 972
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 1245
Faceoffs Lost 1211
Team Average Shots after League Average Shots after
1st Period 8.39.57
2nd Period 17.720.31
3rd Period 27.130.68
Overtime 27.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.62.67
Overtime 2.72.83
Even Strenght Goal 72
PP Goal 12
PK Goal 0
Empty Net Goal 0
Home Away
Win 98
Lost 44
Overtime Lost 24
PP Attempt 74
PP Goal 12
PK Attempt 95
PK Goal Against 20
Home
Shots For 27.6
Shots Against 26.9
Goals For 2.7
Goals Against 2.7
Hits 20.3
Shots Blocked 7.4
Pim 6.5
Schedule
DateMatchup Result Detail
Mon, Oct 9FlyersPIT@FlyersPHIPIT5,PHI1RECAP
Tue, Oct 10FlyersPHI@FlyersPITPHI4,PIT5 (OT)RECAP
Thu, Oct 12FlyersOTT@FlyersPHIOTT3,PHI1RECAP
Sat, Oct 14FlyersPHI@FlyersNYRPHI3,NYR4 (OT)RECAP
Mon, Oct 16FlyersNYR@FlyersPHINYR2,PHI3RECAP
Wed, Oct 18FlyersPHI@FlyersNYRPHI2,NYR4RECAP
Fri, Oct 20FlyersPHI@FlyersDETPHI1,DET2RECAP
Sun, Oct 22FlyersPIT@FlyersPHIPIT3,PHI1RECAP
Tue, Oct 24FlyersOTT@FlyersPHIOTT5,PHI4 (OT)RECAP
Thu, Oct 26FlyersPHI@FlyersLAKPHI3,LAK2RECAP
Sat, Oct 28FlyersPIT@FlyersPHIPIT3,PHI2RECAP
Tue, Oct 31FlyersPHI@FlyersCLBPHI5,CLB3RECAP
Thu, Nov 2FlyersCLB@FlyersPHICLB2,PHI3RECAP
Sat, Nov 4FlyersPHI@FlyersTBLPHI5,TBL4RECAP
Sun, Nov 5FlyersPHI@FlyersPITPHI3,PIT4 (OT)RECAP
Wed, Nov 8FlyersCAR@FlyersPHICAR1,PHI2 (SO)RECAP
Thu, Nov 9FlyersPHI@FlyersWSHPHI1,WSH2RECAP
Sat, Nov 11FlyersVGK@FlyersPHIVGK1,PHI3RECAP
Mon, Nov 13FlyersCOL@FlyersPHICOL3,PHI2 (SO)RECAP
Wed, Nov 15FlyersPHI@FlyersEDMPHI2,EDM4RECAP
Fri, Nov 17FlyersPHI@FlyersSEAPHI2,SEA1RECAP
Sun, Nov 19FlyersSEA@FlyersPHISEA2,PHI3RECAP
Tue, Nov 21FlyersPHI@FlyersVANPHI2,VAN3 (OT)RECAP
Wed, Nov 22FlyersPIT@FlyersPHIPIT1,PHI2RECAP
Fri, Nov 24FlyersPHI@FlyersMINPHI6,MIN2RECAP
Mon, Nov 27FlyersMIN@FlyersPHIMIN2,PHI3 (OT)RECAP
Wed, Nov 29FlyersPHI@FlyersWSHPHI2,WSH1RECAP
Fri, Dec 1FlyersPHI@FlyersDALPHI4,DAL3RECAP
Sun, Dec 3FlyersVAN@FlyersPHIVAN2,PHI3RECAP
Tue, Dec 5FlyersPHI@FlyersTORPHI3,TOR2 (SO)RECAP
Thu, Dec 7FlyersTBL@FlyersPHITBL2,PHI3RECAP
Fri, Dec 8FlyersPHI@FlyersTBL
Sun, Dec 10FlyersPHI@FlyersCHI
Tue, Dec 12FlyersPHI@FlyersNYR
Wed, Dec 13FlyersCGY@FlyersPHI
Sun, Dec 17FlyersDAL@FlyersPHI
Tue, Dec 19FlyersPHI@FlyersOTT
Thu, Dec 21FlyersCHI@FlyersPHI
Sat, Dec 23FlyersPHI@FlyersVGK
Mon, Dec 25FlyersFLA@FlyersPHI
Wed, Dec 27FlyersPHI@FlyersANA
Fri, Dec 29FlyersPHI@FlyersSTL
Sat, Dec 30FlyersBOS@FlyersPHI
Wed, Jan 3FlyersDET@FlyersPHI
Fri, Jan 5FlyersPHI@FlyersDET
Sat, Jan 6FlyersPHI@FlyersPIT
Sun, Jan 7FlyersNYI@FlyersPHI
Wed, Jan 10FlyersPHI@FlyersMTL
Fri, Jan 12FlyersCAR@FlyersPHI
Mon, Jan 15FlyersPHI@FlyersBOS
Tue, Jan 16FlyersCLB@FlyersPHI
Fri, Jan 19FlyersPHI@FlyersCGY
Sat, Jan 20FlyersLAK@FlyersPHI
Mon, Jan 22FlyersPHI@FlyersBUF
Wed, Jan 24FlyersSJS@FlyersPHI
Sat, Jan 27FlyersTOR@FlyersPHI
Mon, Jan 29FlyersPHI@FlyersWPG
Wed, Jan 31FlyersPHI@FlyersNAS
Thu, Feb 1FlyersNYI@FlyersPHI
Sun, Feb 4FlyersSEA@FlyersPHI
Tue, Feb 6FlyersPHI@FlyersSJS
Wed, Feb 7FlyersPHI@FlyersLAK
Fri, Feb 9FlyersBUF@FlyersPHI
Tue, Feb 13FlyersNYR@FlyersPHI
Thu, Feb 15FlyersPHI@FlyersCOL
Sun, Feb 18FlyersSTL@FlyersPHI
Mon, Feb 19FlyersPHI@FlyersTOR
Thu, Feb 22FlyersMTL@FlyersPHI
Mon, Feb 26FlyersMTL@FlyersPHI
Fri, Mar 1FlyersOTT@FlyersPHI
Sat, Mar 2FlyersPHI@FlyersCLB
Tue, Mar 5FlyersWPG@FlyersPHI
Thu, Mar 7FlyersPHI@FlyersCAR
Sat, Mar 9FlyersEDM@FlyersPHI
Tue, Mar 12FlyersPHI@FlyersCAR
Thu, Mar 14FlyersANA@FlyersPHI
Mon, Mar 18FlyersPHI@FlyersNYI
Tue, Mar 19FlyersWSH@FlyersPHI
Fri, Mar 22FlyersPHI@FlyersNYI
Sat, Mar 23FlyersPHI@FlyersFLA
Tue, Mar 26FlyersNAS@FlyersPHI
Fri, Mar 29FlyersWSH@FlyersPHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
85,151,709$ 0$ 85,151,709$ 2,848,291$

ArenaGoal HornAbout us
NameWells Fargo Center
CityPhiladelphia
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$25$200$
Attendance8237071161287375745414506
Attendance PCT91.52%94.88%95.79%95.76%96.71%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
26 16949 - 94.16% 1,773,101$26,596,508$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
85,151,709$ 85,151,709$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
31,158,224$ 85,151,709$ 29,827,146$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
46,100,614$ 115 502,552$ 57,793,480$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
59,860,375$ 85,151,709$ 6,804,895$ -4,911,829$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Pierre-Luc DuboisAGE:25FlyersCAN
Blake ColemanAGE:32FlyersUSA
Tyler BertuzziAGE:28FlyersCAN
Oskar LindblomAGE:27FlyersSWE
Ivan BarbashevAGE:27FlyersRUS
Janne KuokkanenAGE:25FlyersFIN
Jack McBainAGE:23FlyersCAN
Elliot DesnoyersAGE:21FlyersCAN
Otto KoivulaAGE:25FlyersFIN
Alexey ToropchenkoAGE:24FlyersRUS
Turner ElsonAGE:31FlyersCAN
Anthony RichardAGE:26FlyersCAN
Adam MascherinAGE:25FlyersCAN
Nico HischierAGE:24FlyersCHE
Pierre-Luc DuboisAGE:25FlyersCAN
Mikael BacklundAGE:34FlyersSWE
Jack RoslovicAGE:26FlyersUSA
Colton SissonsAGE:30FlyersCAN
Ivan BarbashevAGE:27FlyersRUS
Janne KuokkanenAGE:25FlyersFIN
Tage ThompsonAGE:26FlyersUSA
Shane WrightAGE:19FlyersCAN
Alex TurcotteAGE:22FlyersUSA
Tyson FoersterAGE:21FlyersCAN
Jack McBainAGE:23FlyersCAN
Elliot DesnoyersAGE:21FlyersCAN
Otto KoivulaAGE:25FlyersFIN
Mackenzie EntwistleAGE:24FlyersCAN
Adam BrooksAGE:27FlyersCAN
Michael ChaputAGE:31FlyersCAN
Chaz LuciusAGE:20FlyersUSA
Adam MascherinAGE:25FlyersCAN
Nikita KucherovAGE:30FlyersRUS
Blake ColemanAGE:32FlyersUSA
Tyler BertuzziAGE:28FlyersCAN
Jack RoslovicAGE:26FlyersUSA
Colton SissonsAGE:30FlyersCAN
Tage ThompsonAGE:26FlyersUSA
Tyson FoersterAGE:21FlyersCAN
Serron NoelAGE:23FlyersCAN
Otto KoivulaAGE:25FlyersFIN
Mackenzie EntwistleAGE:24FlyersCAN
Taylor RaddyshAGE:25FlyersCAN
Alexey ToropchenkoAGE:24FlyersRUS
Anthony RichardAGE:26FlyersCAN

Defense #1Defense #2Goalie
Zach WerenskiAGE:26FlyersUSA
Thomas ChabotAGE:26FlyersCAN
Nicolas HagueAGE:25FlyersCAN
Sean DurziAGE:25FlyersCAN
Rasmus SandinAGE:23FlyersSWE
Matt BenningAGE:29FlyersCAN
Mattias SamuelssonAGE:23FlyersUSA
Cam YorkAGE:22FlyersUSA
Ty EmbersonAGE:23FlyersUSA
Simon LundmarkAGE:23FlyersSWE
Samuel BolducAGE:22FlyersCAN
Libor HajekAGE:25FlyersCZE
Frederic AllardAGE:25FlyersCAN
Matthew CairnsAGE:25FlyersCAN
Arvid HenriksonAGE:25FlyersSWE
Jake AllenAGE:33FlyersCAN
Kaapo KahkonenAGE:27FlyersFIN
Kevin LankinenAGE:28FlyersFIN
Sebastian CossaAGE:21FlyersCAN
Eetu MakiniemiAGE:24FlyersFIN
Hugo AlnefeltAGE:22FlyersSWE
Leevi MerilainenAGE:21FlyersFIN
Devin CooleyAGE:26FlyersUSA
Joey DaccordAGE:27FlyersUSA
Beck WarmAGE:24FlyersCAN
Brett BrochuAGE:21FlyersCAN
Cedrick AndreeAGE:23FlyersCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6
2024
2025
2026
2027
2028

** 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
Alex CiernikFlyersFlyers2023
Alexander SuzdalevFlyersFlyers2022
Andrew StrathmannFlyersFlyers2023
Beau AkeyFlyersFlyers2023
Carson BjarnasonFlyersFlyers2023
Francesco PinelliFlyersFlyers2021
Ivan MiroshnichenkoFlyersFlyers2022
Jakub DobesFlyersFlyers2020
Jakub MalekFlyersFlyers2021
Jan BednarFlyersFlyers2020
Kirill KirsanovFlyersFlyers2021
Matyas SapovalivFlyersFlyers2022
Mitchell MillerFlyersFlyers2020
Nick LardisFlyersFlyers2023
Noel NordhFlyersFlyers2023
Oliver MooreFlyersFlyers2023
Patrik PuistolaFlyersFlyers2019
Unger SorumFlyersFlyers2023
Yegor YegorovFlyersFlyers2023176Link
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6
2024
2025
2026
2027
2028

** 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
Alex CiernikFlyersFlyers2023
Alexander SuzdalevFlyersFlyers2022
Andrew StrathmannFlyersFlyers2023
Beau AkeyFlyersFlyers2023
Carson BjarnasonFlyersFlyers2023
Francesco PinelliFlyersFlyers2021
Ivan MiroshnichenkoFlyersFlyers2022
Jakub DobesFlyersFlyers2020
Jakub MalekFlyersFlyers2021
Jan BednarFlyersFlyers2020
Kirill KirsanovFlyersFlyers2021
Matyas SapovalivFlyersFlyers2022
Mitchell MillerFlyersFlyers2020
Nick LardisFlyersFlyers2023
Noel NordhFlyersFlyers2023
Oliver MooreFlyersFlyers2023
Patrik PuistolaFlyersFlyers2019
Unger SorumFlyersFlyers2023
Yegor YegorovFlyersFlyers2023176Link
News






































































































































































Injuries
No Injury or Suspension.

Game Center

Flyers17-8-6, 40pts32Final
Maple Leafs15-9-5, 35pts

Lightnings17-12-2, 36pts23Final
Flyers17-8-6, 40pts

Flyers17-8-6, 40ptsFri, Dec 08Amalie Arena
Lightnings17-12-2, 36pts

Flyers17-8-6, 40ptsSun, Dec 10United Center
Blackhawks15-12-2, 32pts

Flyers17-8-6, 40ptsTue, Dec 12Madison Square Garden
Rangers19-9-3, 41pts

Team Leaders

GOALS
Tage Thompson
18
ASSISTS
Tage Thompson
19
POINTS
Tage Thompson
37
PLUS/MINUS
Tage Thompson
23
WINS
Jake Allen
9
SV%
Kevin Lankinen
0.934

Team Stats


Goals For
84
2.71 GFG
Shots For
856
27.61 Avg
Power Play Percentage
16.2%
12 GF
Offensive Zone Start
50.7%
Goals Against
83
2.68 GAA
Shots Against
834
26.90 Avg
Penalty Kill Percentage
78.9%
20 GA
Defensive Zone Start
49.3%

Injury status

Player POS Status Injury Out For Expected Return
 

Philadelphia Flyers Info

Flyers
General ManagerStephane Carrier
Head CoachJim Montgomery
ConferenceEastern Conference
DivisionMetropolitaine

AHL Affiliation

Flyers
Team NamePhantoms
CityLehigh Valley
Head CoachDallas Eakins
DivisionMetropolitaine

Team Jerseys

Flyers Flyers Flyers
Home Away Alternate

Arena Info

StadiumWells Fargo Center
Capacity18,000
Attendance16,949
Season Tickets7,200

Roster Info

Active Roster23/23
Contract Limit52/50
Prospects & Player's Rights19
Reserve List74/90

Salary Cap

Total Cap Hit85,151,709$
Cap Hit Percentage96.76%
Projected Cap Space2,848,291$
Retains & Buyout0$

Finance

Team Revenue26,596,508$
Estimated Revenue74,740,159$
Estimated Expenses88,951,704$
Operating Income-14,211,545$
Bank Account6,804,895$

Tickets

Section 100100$ | 91.52%
Section 20060$ | 94.88%
Section 30035$ | 95.79%
Section 40025$ | 95.76%
Suites200$ | 96.71%

Team History

202317-8-6 (40PTS)
Record (W-L-OTL)148-112-27
Playoff Appearances2
Playoff Record (W-L)2-8
Stanley Cup0

Entry Draft