FlyersPhiladelphie Flyers
14-16-4, 32pts · 10th in Eastern
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Johnny GaudreauLW100.00593293856290868956888362877582075298,400,000$/4yrs
Mika ZibanejadC100.00653691798089927684827985787677075296,250,000$/1yrs
William NylanderLW/RW100.00573593847588928064798167846971073265,875,000$/1yrs
Jared McCannLW98.00633889817482887775788065766973072263,292,188$/1yrs
Paul StastnyC/LW100.00613589727388907586747369718980071364,812,500$/1yrs
Joel FarabeeLW/RW100.0064468078718789776272787976626507122950,000$/1yrs
Robert ThomasC100.00563492787689857780837173766467071235,000,000$/4yrs
Tomas TatarLW/RW100.00663393766585837757757263788073070324,796,875$/2yrs
Jakub VoracekLW/RW100.00563384738388897959866561788775070335,000,000$/3yrs
Jake DeBruskLW/RW100.00623593747385897256697366756871069263,779,000$/2yrs
Johan LarssonLW100.00745381647385826580686579657372067301,375,000$/3yrs
Adam Ruzicka (R)C100.0076399267908375657866686467636506623950,000$/3yrs
Victor Hedman (C)D100.00663984769993927530917791598376076318,187,500$/1yrs
Jonas BrodinD100.00593691718094916530776985557671070295,000,000$/3yrs
Vince DunnD100.00645978777591897330786972576869070261,900,000$/2yrs
Erik JohnsonD100.00763880669195836230746773518473069342,000,000$/3yrs
Dante FabbroD100.0064378672719087703076587552646506724950,000$/1yrs
J.J. Moser (R)D100.0063387766728785673066627253626306522950,000$/3yrs
Scratches
TEAM AVERAGE99.89643987747788877357777272697372070
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Sergei Bobrovsky0100.0094969077939294939294938688076343,675,000$/2yrs
Linus Ullmark0100.0091888289908991908991907183074295,000,000$/4yrs
Scratches
TEAM AVERAGE100.0093928683929193929193927986075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Boudreau73787977999342CAN6713,500,000$
General Manager
Eric Larochelle
Player Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Johnny GaudreauFlyersFlyers0LW3414142870010111388712.61%220.75549000162331.15%000.82140.95
2William NylanderFlyersFlyers0LW/RW311216281002093278712.90%221.375510101763038.18%000.90130.94
3Mika ZibanejadFlyersFlyers0C34121527-110058104298111.54%1021.014711000791049.39%000.79030.79
4Victor HedmanFlyersFlyers0D3442226-7180488727364.60%5424.813111400072100.00%000.76000.65
5Joel FarabeeFlyersFlyers0LW/RW34111324-132355811734959.40%618.59369000124047.96%000.71000.60
6Jared McCannFlyersFlyers0LW329817-3804080198111.25%520.23369101570046.15%000.53010.58
7Paul StastnyFlyersFlyers0C/LW345914-15100347324666.85%620.84358000630154.56%000.41000.31
8Vince DunnFlyersFlyers0D3441014-534105439223210.26%2424.0124601168000.00%000.41000.23
9Jonas BrodinFlyersFlyers0D3411112-6120552110164.76%4919.1901102273000.00%000.35000.26
10Tomas TatarFlyersFlyers0LW/RW343912-1020395821595.17%416.84134000240041.67%000.35000.31
11Jake DeBruskFlyersFlyers0LW/RW346511-2951557223510.53%213.2121300011029.17%000.32000.31
12Dante FabbroFlyersFlyers0D34178-416022124118.33%3213.9700001120000.00%000.24000.12
13Robert ThomasFlyersFlyers0C26448-94085013458.00%216.4521300000043.10%000.31000.22
14Erik JohnsonFlyersFlyers0D32167024061185105.56%2514.490000009100.00%000.22000.14
15Jakub VoracekFlyersFlyers0LW/RW32336-4100224010307.50%215.2110100040044.69%000.19010.14
16Johan LarssonFlyersFlyers0LW34415-11610152671415.38%35.8000000001052.78%000.15000.09
17J.J. MoserFlyersFlyers0D5011-10091020.00%114.290000004000.00%000.20000.13
18Adam RuzickaFlyersFlyers0C31000-3401386120.00%15.6700000010051.72%000.0000-0.02
Team Total or Average56394154248-76200305819953187999.45%23017.23345488105224658914447.67%278400000.51212
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
1Sergei BobrovskyFlyersFlyers30121530.8982.811796103848240010.7789301400
2Linus UllmarkFlyersFlyers52110.9381.872570181300000.0000430100
Team Total or Average35141640.9042.692054104929540010.77893431500
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
1FlyersRangers3210000084440.667814220133209328382706113256815426.67%9277.78%0571120047.58%519112646.09%27651953.18%79556121392166.7%8.6%93.4%102.0DULL
2FlyersPenguins31200000811-320.333816241033208926263707425197213323.08%7185.71%0571120047.58%519112646.09%27651953.18%70507421351733.3%9.0%85.1%94.1FUN
3FlyersSabres2100001086241.0008132100322158920284671616354250.00%70100.00%1571120047.58%519112646.09%27651953.18%53384613251250.0%13.8%91.0%104.8FUN
4FlyersMapleLeafs1010000025-300.0002460001102812106043138132150.00%4175.00%0571120047.58%519112646.09%27651953.18%251722612620.0%7.1%88.4%95.5Unlucky
5FlyersJets2110000034-120.50036900210065291818050161041700.00%50100.00%0571120047.58%519112646.09%27651953.18%52374214251242.9%4.6%92.0%96.6DULL
6FlyersBruins30300000512-700.000510150022109639282907916165213215.38%7185.71%0571120047.58%519112646.09%27651953.18%75526621371921.4%5.2%84.8%90.0Unlucky
7FlyersCapitals43000001125770.875122032023540121403841510429236719736.84%9188.89%0571120047.58%519112646.09%27651953.18%105748930502555.6%9.9%95.2%105.1LUCKY
8FlyersDevils30300000510-500.0005611000140872726340861414638112.50%60100.00%0571120047.58%519112646.09%27651953.18%69487322371928.6%5.7%88.4%94.1Unlucky
9FlyersPredators32000100119250.83311203100335069282117310534346111436.36%12466.67%1571120047.58%519112646.09%27651953.18%62428222391958.3%15.9%91.4%107.4LUCKY
10FlyersPanthers1010000034-100.0003690011103212812031102154125.00%10100.00%0571120047.58%519112646.09%27651953.18%221624712633.3%9.4%87.1%96.5FUN
11FlyersIslanders2110000044020.50048120110305317201604810104111218.18%5180.00%0571120047.58%519112646.09%27651953.18%50354514231240.0%7.5%91.7%99.2DULL
12FlyersCanucks2100010064230.75061218002310632222190632014396116.67%60100.00%0571120047.58%519112646.09%27651953.18%49354612241255.6%9.5%93.7%103.2LUCKY
13FlyersDucks1000000134-110.5003580001203291110526104295120.00%2150.00%0571120047.58%519112646.09%27651953.18%251825613640.0%9.4%84.6%94.0FUN
14FlyersLightning30300000410-600.000471100220077362120093253243700.00%16568.75%0571120047.58%519112646.09%27651953.18%67447423381844.4%5.2%89.2%94.4Unlucky
15FlyersCanadiens1100000053221.000510150023003513121002557163133.33%10100.00%0571120047.58%519112646.09%27651953.18%282120611557.1%14.3%88.0%102.3FUN
_Vs Division15770000137343150.500376410114101215044313814815553739191311661725.76%36586.11%0571120047.58%519112646.09%27651953.18%3742643431101869540.8%8.4%90.9%99.2Unlucky
_Vs Conference26915000116474-10210.404641141781420232017692592472609711176172485992424.24%721283.33%1571120047.58%519112646.09%27651953.18%64745659819032416439.2%8.3%89.6%97.9Unlucky
_Since Last GM Reset341316002128795-8320.47187157244142731281998347319324179552562346551283023.44%971782.47%2571120047.58%519112646.09%27651953.18%83858979424742621542.2%8.7%90.1%98.8Unlucky
Total341316002128795-8320.47187157244142731281998347319324179552562346551283023.44%971782.47%2571120047.58%519112646.09%27651953.18%83858979424742621542.2%8.7%90.1%98.8Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 1200
Neutral Zone Start 519
Defensive Zone Start 1126
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 1366
Faceoffs Lost 1479
Team Average Shots after League Average Shots after
1st Period 10.29.57
2nd Period 19.620.31
3rd Period 29.130.68
Overtime 29.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 1.71.65
3rd Period 2.52.67
Overtime 2.62.83
Even Strenght Goal 54
PP Goal 30
PK Goal 2
Empty Net Goal 1
Home Away
Win 86
Lost 610
Overtime Lost 31
PP Attempt 128
PP Goal 30
PK Attempt 97
PK Goal Against 17
Home
Shots For 29.4
Shots Against 28.1
Goals For 2.6
Goals Against 2.8
Hits 19.3
Shots Blocked 7.5
Pim 6.9
Cap Hit
Flyers
Projected Total Cap Hit77,991,273$
Projected Cap Space5,508,727$
Retains And Buyout Cap Hit0$
Salary Cap To Date26,881,478$
Players In Salary Cap20
Contracts35/50
LTIR Players0
Flyers Roster Pos Age Cap Hit 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30
Adam Ruzicka C23950,000$950,000$ 950,000$ 950,000$
Dante Fabbro D24950,000$950,000$
Erik Johnson D342,000,000$2,000,000$ 2,000,000$ 2,000,000$
J.J. Moser D22950,000$950,000$ 950,000$ 950,000$
Jake DeBrusk LW/RW263,779,000$3,800,000$ 4,300,000$
Jakub Voracek LW/RW335,000,000$5,000,000$ 5,000,000$ 5,000,000$
Jared McCann LW263,292,188$3,900,000$
Joel Farabee LW/RW22950,000$950,000$
Johan Larsson LW301,375,000$1,250,000$ 1,500,000$ 1,750,000$
Johnny Gaudreau LW298,400,000$8,400,000$ 8,400,000$ 8,400,000$ 8,400,000$
Jonas Brodin D295,000,000$5,000,000$ 5,000,000$ 5,500,000$
Linus Ullmark G295,000,000$5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$
Mika Zibanejad C296,250,000$7,000,000$
Paul Stastny C/LW364,812,500$4,900,000$
Robert Thomas C235,000,000$5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$
Sergei Bobrovsky G343,675,000$3,825,000$ 3,600,000$
Tomas Tatar LW/RW324,796,875$4,987,500$ 4,950,000$
Victor Hedman D318,187,500$8,500,000$
Vince Dunn D261,900,000$1,850,000$ 2,350,000$
William Nylander LW/RW265,875,000$6,825,000$
Non-Roster Pos Age Cap Hit 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30
Connor Clifton D27950,000$950,000$
Craig Anderson G41950,000$950,000$
Erik Brannstrom D231,500,000$1,500,000$ 1,500,000$
Jacob Bryson D25950,000$950,000$ 950,000$
Jaret Anderson-Dolan C23950,000$950,000$ 950,000$
Justus Annunen G22950,000$950,000$ 950,000$ 950,000$
Juuso Valimaki D24950,000$950,000$ 950,000$
Kevin Bahl D22950,000$950,000$ 950,000$
Matthew Peca C291,375,000$1,500,000$ 1,750,000$
Morgan Geekie C24950,000$950,000$ 950,000$
Nikita Okhotiuk D22950,000$950,000$ 950,000$ 950,000$
Otto Koivula LW241,000,000$1,000,000$ 1,000,000$ 1,000,000$
Pavel Francouz G321,100,000$1,100,000$
Ronnie Attard D23950,000$950,000$ 950,000$ 950,000$
Slater Koekkoek D281,375,000$1,500,000$ 1,750,000$

Lines
Forward Lines


Johnny Gaudreau


Mika Zibanejad


William Nylander


Robert Thomas


Paul Stastny


Jared McCann


Tomas Tatar


Jakub Voracek


Joel Farabee


Jake DeBrusk


Adam Ruzicka


Johan Larsson

Defensive Pairings


Victor Hedman


Vince Dunn


Erik Johnson


Jonas Brodin


Dante Fabbro


J.J. Moser

1st Power Play Unit


Johnny Gaudreau


Jared McCann


Mika Zibanejad


Victor Hedman


William Nylander

2nd Power Play Unit


Robert Thomas


Paul Stastny


Joel Farabee


Jonas Brodin


Vince Dunn

Goalies


Sergei Bobrovsky


Linus Ullmark

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
1FlyersRangers3210000084440.667814220133209328382706113256815426.67%9277.78%0571120047.58%519112646.09%27651953.18%79556121392166.7%8.6%93.4%102.0DULL
2FlyersPenguins31200000811-320.333816241033208926263707425197213323.08%7185.71%0571120047.58%519112646.09%27651953.18%70507421351733.3%9.0%85.1%94.1FUN
3FlyersSabres2100001086241.0008132100322158920284671616354250.00%70100.00%1571120047.58%519112646.09%27651953.18%53384613251250.0%13.8%91.0%104.8FUN
4FlyersMapleLeafs1010000025-300.0002460001102812106043138132150.00%4175.00%0571120047.58%519112646.09%27651953.18%251722612620.0%7.1%88.4%95.5Unlucky
5FlyersJets2110000034-120.50036900210065291818050161041700.00%50100.00%0571120047.58%519112646.09%27651953.18%52374214251242.9%4.6%92.0%96.6DULL
6FlyersBruins30300000512-700.000510150022109639282907916165213215.38%7185.71%0571120047.58%519112646.09%27651953.18%75526621371921.4%5.2%84.8%90.0Unlucky
7FlyersCapitals43000001125770.875122032023540121403841510429236719736.84%9188.89%0571120047.58%519112646.09%27651953.18%105748930502555.6%9.9%95.2%105.1LUCKY
8FlyersDevils30300000510-500.0005611000140872726340861414638112.50%60100.00%0571120047.58%519112646.09%27651953.18%69487322371928.6%5.7%88.4%94.1Unlucky
9FlyersPredators32000100119250.83311203100335069282117310534346111436.36%12466.67%1571120047.58%519112646.09%27651953.18%62428222391958.3%15.9%91.4%107.4LUCKY
10FlyersPanthers1010000034-100.0003690011103212812031102154125.00%10100.00%0571120047.58%519112646.09%27651953.18%221624712633.3%9.4%87.1%96.5FUN
11FlyersIslanders2110000044020.50048120110305317201604810104111218.18%5180.00%0571120047.58%519112646.09%27651953.18%50354514231240.0%7.5%91.7%99.2DULL
12FlyersCanucks2100010064230.75061218002310632222190632014396116.67%60100.00%0571120047.58%519112646.09%27651953.18%49354612241255.6%9.5%93.7%103.2LUCKY
13FlyersDucks1000000134-110.5003580001203291110526104295120.00%2150.00%0571120047.58%519112646.09%27651953.18%251825613640.0%9.4%84.6%94.0FUN
14FlyersLightning30300000410-600.000471100220077362120093253243700.00%16568.75%0571120047.58%519112646.09%27651953.18%67447423381844.4%5.2%89.2%94.4Unlucky
15FlyersCanadiens1100000053221.000510150023003513121002557163133.33%10100.00%0571120047.58%519112646.09%27651953.18%282120611557.1%14.3%88.0%102.3FUN
_Vs Division15770000137343150.500376410114101215044313814815553739191311661725.76%36586.11%0571120047.58%519112646.09%27651953.18%3742643431101869540.8%8.4%90.9%99.2Unlucky
_Vs Conference26915000116474-10210.404641141781420232017692592472609711176172485992424.24%721283.33%1571120047.58%519112646.09%27651953.18%64745659819032416439.2%8.3%89.6%97.9Unlucky
_Since Last GM Reset341316002128795-8320.47187157244142731281998347319324179552562346551283023.44%971782.47%2571120047.58%519112646.09%27651953.18%83858979424742621542.2%8.7%90.1%98.8Unlucky
Total341316002128795-8320.47187157244142731281998347319324179552562346551283023.44%971782.47%2571120047.58%519112646.09%27651953.18%83858979424742621542.2%8.7%90.1%98.8Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 1200
Neutral Zone Start 519
Defensive Zone Start 1126
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 1366
Faceoffs Lost 1479
Team Average Shots after League Average Shots after
1st Period 10.29.57
2nd Period 19.620.31
3rd Period 29.130.68
Overtime 29.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 1.71.65
3rd Period 2.52.67
Overtime 2.62.83
Even Strenght Goal 54
PP Goal 30
PK Goal 2
Empty Net Goal 1
Home Away
Win 86
Lost 610
Overtime Lost 31
PP Attempt 128
PP Goal 30
PK Attempt 97
PK Goal Against 17
Home
Shots For 29.4
Shots Against 28.1
Goals For 2.6
Goals Against 2.8
Hits 19.3
Shots Blocked 7.5
Pim 6.9
Schedule
DateMatchup Result Detail
Wed, Oct 5FlyersWSH@FlyersPHIWSH3,PHI2 (SO)RECAP
Fri, Oct 7FlyersFLA@FlyersPHIFLA4,PHI3RECAP
Sun, Oct 9FlyersPHI@FlyersTORPHI2,TOR5RECAP
Mon, Oct 10FlyersPHI@FlyersPITPHI3,PIT5RECAP
Tue, Oct 11FlyersPHI@FlyersNJDPHI1,NJD2RECAP
Thu, Oct 13FlyersNYR@FlyersPHINYR0,PHI4RECAP
Fri, Oct 14FlyersPHI@FlyersVANPHI1,VAN2 (OT)RECAP
Mon, Oct 17FlyersNYI@FlyersPHINYI0,PHI3RECAP
Wed, Oct 19FlyersPHI@FlyersBOSPHI1,BOS4RECAP
Fri, Oct 21FlyersPIT@FlyersPHIPIT3,PHI4RECAP
Sat, Oct 22FlyersPHI@FlyersNYIPHI1,NYI4RECAP
Tue, Oct 25FlyersWSH@FlyersPHIWSH0,PHI3RECAP
Wed, Oct 26FlyersBUF@FlyersPHIBUF4,PHI5RECAP
Fri, Oct 28FlyersPHI@FlyersVANPHI5,VAN2RECAP
Sun, Oct 30FlyersPHI@FlyersWSHPHI4,WSH2RECAP
Tue, Nov 1FlyersNSH@FlyersPHINSH4,PHI3 (OT)RECAP
Thu, Nov 3FlyersPHI@FlyersNJDPHI3,NJD5RECAP
Fri, Nov 4FlyersNSH@FlyersPHINSH4,PHI5RECAP
Sun, Nov 6FlyersWPG@FlyersPHIWPG1,PHI2RECAP
Tue, Nov 8FlyersPHI@FlyersBUFPHI3,BUF2 (SO)RECAP
Thu, Nov 10FlyersNYR@FlyersPHINYR2,PHI1RECAP
Sat, Nov 12FlyersPHI@FlyersNSHPHI3,NSH1RECAP
Mon, Nov 14FlyersTBL@FlyersPHITBL5,PHI1RECAP
Wed, Nov 16FlyersPHI@FlyersWPGPHI1,WPG3RECAP
Fri, Nov 18FlyersPHI@FlyersWSHPHI3,WSH0RECAP
Sun, Nov 20FlyersBOS@FlyersPHIBOS5,PHI3RECAP
Mon, Nov 21FlyersNYR@FlyersPHINYR2,PHI3RECAP
Wed, Nov 23FlyersPHI@FlyersTBLPHI2,TBL3RECAP
Fri, Nov 25FlyersNJD@FlyersPHINJD3,PHI1RECAP
Sun, Nov 27FlyersANA@FlyersPHIANA4,PHI3 (SO)RECAP
Tue, Nov 29FlyersPHI@FlyersBOSPHI1,BOS3RECAP
Thu, Dec 1FlyersPIT@FlyersPHIPIT3,PHI1RECAP
Sat, Dec 3FlyersPHI@FlyersMTLPHI5,MTL3RECAP
Sun, Dec 4FlyersPHI@FlyersTBLPHI1,TBL2RECAP
Tue, Dec 6FlyersPHI@FlyersNJD
Thu, Dec 8FlyersCOL@FlyersPHI
Sat, Dec 10FlyersOTT@FlyersPHI
Mon, Dec 12FlyersPHI@FlyersCOL
Wed, Dec 14FlyersBUF@FlyersPHI
Fri, Dec 16FlyersSTL@FlyersPHI
Wed, Jan 4FlyersPHI@FlyersNYR
Thu, Jan 5FlyersPHI@FlyersEDM
Sat, Jan 7FlyersWSH@FlyersPHI
Tue, Jan 10FlyersCGY@FlyersPHI
Thu, Jan 12FlyersPHI@FlyersSTL
Fri, Jan 13FlyersPHI@FlyersBOS
Sun, Jan 15FlyersFLA@FlyersPHI
Tue, Jan 17FlyersLOS@FlyersPHI
Thu, Jan 19FlyersPHI@FlyersDAL
Sat, Jan 21FlyersPHI@FlyersANA
Mon, Jan 23FlyersVGK@FlyersPHI
Wed, Jan 25FlyersCHI@FlyersPHI
Thu, Jan 26FlyersPHI@FlyersMTL
Fri, Jan 27FlyersPHI@FlyersCGY
Sun, Jan 29FlyersDAL@FlyersPHI
Tue, Jan 31FlyersFLA@FlyersPHI
Thu, Feb 2FlyersPHI@FlyersNYI
Sat, Feb 4FlyersPHI@FlyersFLA
Sun, Feb 5FlyersMTL@FlyersPHI
Wed, Feb 8FlyersPIT@FlyersPHI
Fri, Feb 10FlyersPHI@FlyersLOS
Sun, Feb 12FlyersVAN@FlyersPHI
Mon, Feb 13FlyersPHI@FlyersFLA
Wed, Feb 15FlyersDET@FlyersPHI
Thu, Feb 16FlyersPHI@FlyersVAN
Sun, Feb 19FlyersPHI@FlyersVGK
Mon, Feb 20FlyersNJD@FlyersPHI
Wed, Feb 22FlyersEDM@FlyersPHI
Mon, Feb 27FlyersPHI@FlyersOTT
Wed, Mar 1FlyersWSH@FlyersPHI
Mon, Mar 6FlyersPHI@FlyersDET
Wed, Mar 8FlyersPHI@FlyersTOR
Trade Deadline --- Trades cant be done after this day is simulated!
Thu, Mar 9FlyersOTT@FlyersPHI
Wed, Mar 15FlyersPHI@FlyersNYI
Mon, Mar 20FlyersPHI@FlyersPIT
Tue, Mar 21FlyersNYI@FlyersPHI
Fri, Mar 24FlyersTOR@FlyersPHI
Mon, Mar 27FlyersPHI@FlyersCHI
Tue, Mar 28FlyersNYI@FlyersPHI
Sat, Apr 1FlyersVAN@FlyersPHI
Sun, Apr 2FlyersPHI@FlyersNYR
Mon, Apr 3FlyersPHI@FlyersPIT

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
81,037,500$ 0$ 77,991,273$ 5,508,727$

ArenaGoal HornAbout us
NameWells Fargo Center
CityPhiladelphie
Capacity17565
Season Ticket Holders0%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity65005000350015651000
Ticket Price105$75$55$40$199$
Attendance10852582834557532660516126
Attendance PCT98.21%97.45%93.70%100.00%94.86%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
24 17050 - 97.07% 1,834,365$31,184,203$17565100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
81,037,500$ 78,143,063$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
29,344,327$ 422,395$ 26,881,478$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
44,024,757$ 121 456,959$ 55,292,039$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
56,904,243$ 77,991,273$ 173,221,195$ 160,341,709$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Johnny GaudreauAGE:29FlyersUSA
William NylanderAGE:26FlyersSWE
Jakub VoracekAGE:33FlyersCZE
Paul StastnyAGE:36FlyersUSA
Tomas TatarAGE:32FlyersSVK
Jake DeBruskAGE:26FlyersCAN
Jared McCannAGE:26FlyersCAN
Johan LarssonAGE:30FlyersSWE
Otto KoivulaAGE:24FlyersFIN
Joel FarabeeAGE:22FlyersUSA
Mika ZibanejadAGE:29FlyersSWE
Robert ThomasAGE:23FlyersCAN
Paul StastnyAGE:36FlyersUSA
Matthew PecaAGE:29FlyersCAN
Adam RuzickaAGE:23FlyersSVK
Jaret Anderson-DolanAGE:23FlyersCAN
Morgan GeekieAGE:24FlyersCAN
William NylanderAGE:26FlyersSWE
Jakub VoracekAGE:33FlyersCZE
Tomas TatarAGE:32FlyersSVK
Jake DeBruskAGE:26FlyersCAN
Joel FarabeeAGE:22FlyersUSA

Defense #1Defense #2Goalie
Victor HedmanAGE:31FlyersSWE
Jonas BrodinAGE:29FlyersSWE
Erik JohnsonAGE:34FlyersUSA
Vince DunnAGE:26FlyersCAN
Erik BrannstromAGE:23FlyersSWE
Slater KoekkoekAGE:28FlyersCAN
Dante FabbroAGE:24FlyersCAN
J.J. MoserAGE:22FlyersCHE
Jacob BrysonAGE:25FlyersCAN
Juuso ValimakiAGE:24FlyersFIN
Kevin BahlAGE:22FlyersCAN
Nikita OkhotiukAGE:22FlyersRUS
Ronnie AttardAGE:23FlyersUSA
Connor CliftonAGE:27FlyersUSA
Linus UllmarkAGE:29FlyersSWE
Sergei BobrovskyAGE:34FlyersRUS
Pavel FrancouzAGE:32FlyersCZE
Craig AndersonAGE:41FlyersUSA
Justus AnnunenAGE:22FlyersFIN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
2023
2024
2025
2026
2027

** 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
Albin GreweFlyersFlyers202072
Axel AnderssonFlyersFlyers201971
Benjamin RogerFlyersFlyers202269
Cameron MorrisonFlyersFlyers201754
Daniil MisyulFlyersFlyers2020110
Dmitri SemykinFlyersFlyers2019102
Drew CommessoFlyersFlyers202116
Drew HellesonFlyersFlyers202084
Eemeli RasanenFlyersFlyers201860
Emil Martinsen-LillebergFlyersFlyers2022121
Erik PortilloFlyersFlyers202063
Joey KeaneFlyersFlyers2019101
Josh BloomFlyersFlyers202295
Leevi MerilainenFlyersFlyers202138
Maksim ZhukovFlyersFlyers201896
Matthew SamoskevichFlyersFlyers202243
Nico GrossFlyersFlyers2019127
Olivier RodrigueFlyersFlyers201949
Olof LindbomFlyersFlyers201943
Oskar OlaussonFlyersFlyers202221
Patrick HarperFlyersFlyers201744
Seth BartonFlyersFlyers201999
Tarmo ReunanenFlyersFlyers2017123
Troy GrosenickFlyersFlyersLink
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
2023
2024
2025
2026
2027

** 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
Albin GreweFlyersFlyers202072
Axel AnderssonFlyersFlyers201971
Benjamin RogerFlyersFlyers202269
Cameron MorrisonFlyersFlyers201754
Daniil MisyulFlyersFlyers2020110
Dmitri SemykinFlyersFlyers2019102
Drew CommessoFlyersFlyers202116
Drew HellesonFlyersFlyers202084
Eemeli RasanenFlyersFlyers201860
Emil Martinsen-LillebergFlyersFlyers2022121
Erik PortilloFlyersFlyers202063
Joey KeaneFlyersFlyers2019101
Josh BloomFlyersFlyers202295
Leevi MerilainenFlyersFlyers202138
Maksim ZhukovFlyersFlyers201896
Matthew SamoskevichFlyersFlyers202243
Nico GrossFlyersFlyers2019127
Olivier RodrigueFlyersFlyers201949
Olof LindbomFlyersFlyers201943
Oskar OlaussonFlyersFlyers202221
Patrick HarperFlyersFlyers201744
Seth BartonFlyersFlyers201999
Tarmo ReunanenFlyersFlyers2017123
Troy GrosenickFlyersFlyersLink
News





































































































































































































Injuries
No Injury or Suspension.

Game Center

Flyers14-16-4, 32pts53Final
Canadiens18-14-2, 38pts

Flyers14-16-4, 32pts12Final
Lightning18-14-3, 39pts

Flyers14-16-4, 32ptsTue, Dec 06Prudential Center
Devils16-15-3, 35pts

Avalanche15-18-2, 32ptsThu, Dec 08Wells Fargo Center
Flyers14-16-4, 32pts

Senators21-13-0, 42ptsSat, Dec 10Wells Fargo Center
Flyers14-16-4, 32pts

Team Leaders

GOALS
Johnny Gaudreau
14
ASSISTS
Victor Hedman
22
POINTS
William Nylander
28
PLUS/MINUS
Johnny Gaudreau
7
WINS
Sergei Bobrovsky
12
SV%
Linus Ullmark
0.938

Team Stats


Goals For
87
2.56 GFG
Shots For
998
29.35 Avg
Power Play Percentage
23.4%
30 GF
Offensive Zone Start
51.6%
Goals Against
95
2.79 GAA
Shots Against
955
28.09 Avg
Penalty Kill Percentage
82.5%
17 GA
Defensive Zone Start
48.4%

Injury status

Player POS Status Injury Out For Expected Return
 

Philadelphie Flyers Info

Flyers
General ManagerEric Larochelle
Head CoachBruce Boudreau
ConferenceEastern
DivisionMetropolitan

AHL Affiliation

Flyers
Team NamePhantoms D'Adirondack
CityAdirondack
Head Coach
DivisionNortheast

Team Jerseys

Flyers Flyers Flyers
Home Away Alternate

Arena Info

StadiumWells Fargo Center
Capacity17,565
Attendance17,050
Season Tickets0

Roster Info

Active Roster20/23
Contract Limit35/50
Prospects & Player's Rights24
Reserve List59/90

Salary Cap

Total Cap Hit77,991,273$
Cap Hit Percentage93.4%
Projected Cap Space5,508,727$
Retains & Buyout0$

Finance

Team Revenue31,184,203$
Estimated Revenue75,208,960$
Estimated Expenses84,636,366$
Operating Income-9,427,406$
Bank Account173,221,195$

Tickets

Section 100105$ | 98.21%
Section 20075$ | 97.45%
Section 30055$ | 93.70%
Section 40040$ | 100.00%
Suites199$ | 94.86%

Team History

202214-16-4 (32PTS)
Record (W-L-OTL)57-44-15 (129PTS)
Playoff Appearances2
Playoff Record (W-L)6-8
Stanley Cup0

Entry Draft