FlyersPhiladelphie Flyers
41-34-7, 89pts · 5th 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 GaudreauLW99.00593293856290868956888362877582075298,400,000$/4yrs
Mika ZibanejadC99.00653691798089927684827985787677075296,250,000$/1yrs
William NylanderLW/RW100.00573593847588928064798167846971073265,875,000$/1yrs
Jared McCannLW100.00633889817482887775788065766973072263,292,188$/1yrs
Paul StastnyC/LW100.00613589727388907586747369718980071374,812,500$/1yrs
Joel FarabeeLW/RW100.0064468078718789776272787976626507123950,000$/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)D100.00663984769993927530917791598376076328,187,500$/1yrs
Jonas BrodinD100.00593691718094916530776985557671070295,000,000$/3yrs
Vince DunnD100.00645978777591897330786972576869070261,900,000$/2yrs
Erik JohnsonD100.00763880669195836230746773518473069352,000,000$/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
Linus Ullmark0100.0091888289908991908991907183074295,000,000$/4yrs
Craig Anderson0100.008270727781808281808281939506941950,000$/1yrs
Scratches
Sergei Bobrovsky0100.0094969077939294939294938688076343,675,000$/2yrs
TEAM AVERAGE100.0089858181888789888789888389073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Boudreau73787977999342CAN6713,500,000$
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
1Mika ZibanejadFlyersFlyers0C82315283152001562677822011.61%2720.85818260001714251.06%001.01061.06
2Victor HedmanFlyersFlyers0D82166379748015618551878.65%15124.7292433000175300.00%000.96000.88
3Johnny GaudreauFlyersFlyers0LW823139702040672648418111.74%520.9699180001534535.06%000.85370.96
4William NylanderFlyersFlyers0LW/RW792941701580502526220811.51%1320.24913221011318135.04%000.89260.98
5Joel FarabeeFlyersFlyers0LW/RW82253055-20295120263711949.51%1718.3841216000886145.78%000.67000.65
6Jared McCannFlyersFlyers0LW80231942-33751201915014312.04%919.4548121011097146.52%000.53120.53
7Paul StastnyFlyersFlyers0C/LW82182240-21180941796514710.06%919.715813000890253.18%100.49010.44
8Vince DunnFlyersFlyers0D82122638108725157104457411.54%7624.1610818011163110.00%000.46000.37
9Robert ThomasFlyersFlyers0C74142438-816043145311369.66%516.7836900000050.34%010.51000.46
10Jonas BrodinFlyersFlyers0D8262531-18200808528627.06%11421.06336022189100.00%000.38000.30
11Dante FabbroFlyersFlyers0D8262329-3220653082220.00%7614.3201101161100.00%000.35000.26
12Jake DeBruskFlyersFlyers0LW/RW7511920-711528110336310.00%310.4521300031031.08%000.27000.26
13Tomas TatarFlyersFlyers0LW/RW8081220-1360509937788.08%610.76134000241042.57%000.25000.23
14Johan LarssonFlyersFlyers0LW8210818-342108968144814.71%99.0400000001046.30%000.22000.15
15Jakub VoracekFlyersFlyers0LW/RW8061218-6160359625586.25%612.9410100040043.58%000.23010.18
16Erik JohnsonFlyersFlyers0D6611011-8675149339223.03%5915.9500000056100.00%000.17000.02
17J.J. MoserFlyersFlyers0D5328100275702031510.00%3614.2600000047000.00%000.19000.13
18Adam RuzickaFlyersFlyers0C79167-6140532715293.70%36.9600000050051.72%000.09000.05
Team Total or Average1404250429679-494926015822418709178710.34%62416.836811418224632461476391348.22%686300110.57623
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 BobrovskyFlyersFlyers70362760.9042.78414614519219900410.75020706821
2Linus UllmarkFlyersFlyers155610.9112.7474402343820100.00001171201
Team Total or Average85413370.9052.77489114722623720510.7502081771022
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
1FlyersRedWings2100000188030.7508152300413165281522359251044400.00%50100.00%01395286148.76%1286274946.78%667129551.51%47335513221150.0%12.3%86.4%98.7FUN
2FlyersBlackHawks2200000072541.000712190033106018261605517124611218.18%6266.67%01395286148.76%1286274946.78%667129551.51%513643142513100.0%11.7%96.4%108.0LUCKY
3FlyersRangers53200000169760.6001630460175401685266500124293311425624.00%13469.23%01395286148.76%1286274946.78%667129551.51%1299010735623366.7%9.5%92.7%102.3LUCKY
4FlyersGolden Knights2110000078-120.5007142100421057251616058127448225.00%10100.00%01395286148.76%1286274946.78%667129551.51%48334613251338.5%12.3%86.2%98.5FUN
5FlyersPenguins624000001823-540.3331831491097201665947600162474813321419.05%19478.95%01395286148.76%1286274946.78%667129551.51%1389714843723442.4%10.8%85.8%96.6FUN
6FlyersSabres32000010158761.00015274200644197223341410622245210550.00%11190.91%11395286148.76%1286274946.78%667129551.51%81596620371958.8%15.5%92.5%107.9LUCKY
7FlyersSenators30200100510-510.16759140041007932182901132926608337.50%13284.62%01395286148.76%1286274946.78%667129551.51%64407822381920.0%6.3%91.2%97.5DULL
8FlyersMapleLeafs311010001310340.66713253800345110439283521012614458225.00%7185.71%01395286148.76%1286274946.78%667129551.51%76556720361955.0%12.5%90.1%102.6FUN
9FlyersFlames2020000048-400.0004812001210522115160692425439111.11%10280.00%01395286148.76%1286274946.78%667129551.51%43285115241133.3%7.7%88.4%96.1Unlucky
10FlyersJets2110000034-120.50036900210065291818050161041700.00%50100.00%01395286148.76%1286274946.78%667129551.51%52374214251242.9%4.6%92.0%96.6DULL
11FlyersBruins41300000814-620.25081624003410117444033011725187617211.76%8187.50%01395286148.76%1286274946.78%667129551.51%97689128502631.6%6.8%88.0%94.9Unlucky
12FlyersKings2110000067-120.500691500321055181918062196498337.50%3166.67%01395286148.76%1286274946.78%667129551.51%47334913231133.3%10.9%88.7%99.6FUN
13FlyersBlues2200000053241.0005914002210541919160551019384250.00%70100.00%01395286148.76%1286274946.78%667129551.51%41285215251150.0%9.3%94.5%103.8LUCKY
14FlyersCapitals6500000121912110.9172136570286701896352725151492913126934.62%12191.67%01395286148.76%1286274946.78%667129551.51%15911313042753860.0%11.1%94.0%105.2LUCKY
15FlyersDevils523000001416-240.4001422360053601454642570127301810215213.33%80100.00%01395286148.76%1286274946.78%667129551.51%1218511536633242.9%9.7%87.4%97.1FUN
16FlyersPredators32000100119250.83311203100335069282117310534346111436.36%12466.67%11395286148.76%1286274946.78%667129551.51%62428222391958.3%15.9%91.4%107.4LUCKY
17FlyersPanthers512001101213-150.50012213301524213349394551444337981317.69%16475.00%01395286148.76%1286274946.78%667129551.51%1117713036633055.0%9.0%91.0%100.0FUN
18FlyersStars2110000067-120.5006101600114061181825050171241600.00%6183.33%01395286148.76%1286274946.78%667129551.51%49344414261350.0%9.8%86.0%95.8FUN
19FlyersIslanders624000001519-440.3331525400162701775569530187393013225416.00%14378.57%01395286148.76%1286274946.78%667129551.51%14410014341713840.7%8.5%89.8%98.3Unlucky
20FlyersAvalanche2010100088020.50081422002231592618141621412368112.50%60100.00%01395286148.76%1286274946.78%667129551.51%51354313251346.7%13.6%87.1%100.7FUN
21FlyersOilers2200000080841.00081422022150672119270531564811327.27%20100.00%01395286148.76%1286274946.78%667129551.51%483446132413100.0%11.9%100.0%111.9LUCKY
22FlyersCanucks512011001417-350.5001424380046311565354472165483410513215.38%15193.33%01395286148.76%1286274946.78%667129551.51%1188212234623042.9%9.0%89.7%98.7FUN
23FlyersDucks2100000196330.750916250015306515301855420265912541.67%3166.67%01395286148.76%1286274946.78%667129551.51%51364813241344.4%13.8%88.9%102.7FUN
24FlyersLightning30300000410-600.000471100220077362120093253243700.00%16568.75%01395286148.76%1286274946.78%667129551.51%67447423381844.4%5.2%89.2%94.4Unlucky
25FlyersCanadiens3110001097240.66791524002511943332275822815557114.29%50100.00%01395286148.76%1286274946.78%667129551.51%78567020361853.3%9.6%91.5%101.0LUCKY
_Vs Division2814130000184768290.5188414422814352326084527527629257511941586121122522.32%661281.82%01395286148.76%1286274946.78%667129551.51%69348764519934517748.0%9.9%89.9%99.8FUN
_Vs Conference522025012311501482510.490150264414156045415154653048752221150739232410411823921.43%1422681.69%11395286148.76%1286274946.78%667129551.51%1270890122437364732847.6%9.7%90.2%99.9FUN
_Since Last GM Reset8235340343324623511890.543246435681179276728243184977579235240466353716962946421.77%2233882.96%21395286148.76%1286274946.78%667129551.51%198413891953586102251648.0%10.1%90.2%100.3FUN
Total8235340343324623511890.543246435681179276728243184977579235240466353716962946421.77%2233882.96%21395286148.76%1286274946.78%667129551.51%198413891953586102251648.0%10.1%90.2%100.3FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2861
Neutral Zone Start 1295
Defensive Zone Start 2749
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3348
Faceoffs Lost 3557
Team Average Shots after League Average Shots after
1st Period 10.49.57
2nd Period 19.820.31
3rd Period 29.530.68
Overtime 29.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.01.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 179
PP Goal 64
PK Goal 2
Empty Net Goal 1
Home Away
Win 2219
Lost 1420
Overtime Lost 52
PP Attempt 294
PP Goal 64
PK Attempt 223
PK Goal Against 38
Home
Shots For 29.6
Shots Against 29.3
Goals For 3.0
Goals Against 2.9
Hits 20.7
Shots Blocked 8.1
Pim 6.5
Cap Hit
Flyers
Projected Total Cap Hit77,597,764$
Projected Cap Space5,902,236$
Retains And Buyout Cap Hit0$
Salary Cap To Date77,597,764$
Players In Salary Cap20
Contracts35/50
LTIR Players1
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$
Craig Anderson G41950,000$950,000$
Dante Fabbro D24950,000$950,000$
Erik Johnson D352,000,000$2,000,000$ 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/RW23950,000$950,000$
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/LW374,812,500$4,900,000$
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 D328,187,500$8,500,000$
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$950,000$
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 G23950,000$950,000$ 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 D24950,000$950,000$ 950,000$ 950,000$
Slater Koekkoek D291,375,000$1,500,000$ 1,750,000$

Lines
Forward Lines


Johnny Gaudreau


Mika Zibanejad


William Nylander


Joel Farabee


Paul Stastny


Jared McCann


Adam Ruzicka


Robert Thomas


Jake DeBrusk


Tomas Tatar


Jakub Voracek


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


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
1FlyersRedWings2100000188030.7508152300413165281522359251044400.00%50100.00%01395286148.76%1286274946.78%667129551.51%47335513221150.0%12.3%86.4%98.7FUN
2FlyersBlackHawks2200000072541.000712190033106018261605517124611218.18%6266.67%01395286148.76%1286274946.78%667129551.51%513643142513100.0%11.7%96.4%108.0LUCKY
3FlyersRangers53200000169760.6001630460175401685266500124293311425624.00%13469.23%01395286148.76%1286274946.78%667129551.51%1299010735623366.7%9.5%92.7%102.3LUCKY
4FlyersGolden Knights2110000078-120.5007142100421057251616058127448225.00%10100.00%01395286148.76%1286274946.78%667129551.51%48334613251338.5%12.3%86.2%98.5FUN
5FlyersPenguins624000001823-540.3331831491097201665947600162474813321419.05%19478.95%01395286148.76%1286274946.78%667129551.51%1389714843723442.4%10.8%85.8%96.6FUN
6FlyersSabres32000010158761.00015274200644197223341410622245210550.00%11190.91%11395286148.76%1286274946.78%667129551.51%81596620371958.8%15.5%92.5%107.9LUCKY
7FlyersSenators30200100510-510.16759140041007932182901132926608337.50%13284.62%01395286148.76%1286274946.78%667129551.51%64407822381920.0%6.3%91.2%97.5DULL
8FlyersMapleLeafs311010001310340.66713253800345110439283521012614458225.00%7185.71%01395286148.76%1286274946.78%667129551.51%76556720361955.0%12.5%90.1%102.6FUN
9FlyersFlames2020000048-400.0004812001210522115160692425439111.11%10280.00%01395286148.76%1286274946.78%667129551.51%43285115241133.3%7.7%88.4%96.1Unlucky
10FlyersJets2110000034-120.50036900210065291818050161041700.00%50100.00%01395286148.76%1286274946.78%667129551.51%52374214251242.9%4.6%92.0%96.6DULL
11FlyersBruins41300000814-620.25081624003410117444033011725187617211.76%8187.50%01395286148.76%1286274946.78%667129551.51%97689128502631.6%6.8%88.0%94.9Unlucky
12FlyersKings2110000067-120.500691500321055181918062196498337.50%3166.67%01395286148.76%1286274946.78%667129551.51%47334913231133.3%10.9%88.7%99.6FUN
13FlyersBlues2200000053241.0005914002210541919160551019384250.00%70100.00%01395286148.76%1286274946.78%667129551.51%41285215251150.0%9.3%94.5%103.8LUCKY
14FlyersCapitals6500000121912110.9172136570286701896352725151492913126934.62%12191.67%01395286148.76%1286274946.78%667129551.51%15911313042753860.0%11.1%94.0%105.2LUCKY
15FlyersDevils523000001416-240.4001422360053601454642570127301810215213.33%80100.00%01395286148.76%1286274946.78%667129551.51%1218511536633242.9%9.7%87.4%97.1FUN
16FlyersPredators32000100119250.83311203100335069282117310534346111436.36%12466.67%11395286148.76%1286274946.78%667129551.51%62428222391958.3%15.9%91.4%107.4LUCKY
17FlyersPanthers512001101213-150.50012213301524213349394551444337981317.69%16475.00%01395286148.76%1286274946.78%667129551.51%1117713036633055.0%9.0%91.0%100.0FUN
18FlyersStars2110000067-120.5006101600114061181825050171241600.00%6183.33%01395286148.76%1286274946.78%667129551.51%49344414261350.0%9.8%86.0%95.8FUN
19FlyersIslanders624000001519-440.3331525400162701775569530187393013225416.00%14378.57%01395286148.76%1286274946.78%667129551.51%14410014341713840.7%8.5%89.8%98.3Unlucky
20FlyersAvalanche2010100088020.50081422002231592618141621412368112.50%60100.00%01395286148.76%1286274946.78%667129551.51%51354313251346.7%13.6%87.1%100.7FUN
21FlyersOilers2200000080841.00081422022150672119270531564811327.27%20100.00%01395286148.76%1286274946.78%667129551.51%483446132413100.0%11.9%100.0%111.9LUCKY
22FlyersCanucks512011001417-350.5001424380046311565354472165483410513215.38%15193.33%01395286148.76%1286274946.78%667129551.51%1188212234623042.9%9.0%89.7%98.7FUN
23FlyersDucks2100000196330.750916250015306515301855420265912541.67%3166.67%01395286148.76%1286274946.78%667129551.51%51364813241344.4%13.8%88.9%102.7FUN
24FlyersLightning30300000410-600.000471100220077362120093253243700.00%16568.75%01395286148.76%1286274946.78%667129551.51%67447423381844.4%5.2%89.2%94.4Unlucky
25FlyersCanadiens3110001097240.66791524002511943332275822815557114.29%50100.00%01395286148.76%1286274946.78%667129551.51%78567020361853.3%9.6%91.5%101.0LUCKY
_Vs Division2814130000184768290.5188414422814352326084527527629257511941586121122522.32%661281.82%01395286148.76%1286274946.78%667129551.51%69348764519934517748.0%9.9%89.9%99.8FUN
_Vs Conference522025012311501482510.490150264414156045415154653048752221150739232410411823921.43%1422681.69%11395286148.76%1286274946.78%667129551.51%1270890122437364732847.6%9.7%90.2%99.9FUN
_Since Last GM Reset8235340343324623511890.543246435681179276728243184977579235240466353716962946421.77%2233882.96%21395286148.76%1286274946.78%667129551.51%198413891953586102251648.0%10.1%90.2%100.3FUN
Total8235340343324623511890.543246435681179276728243184977579235240466353716962946421.77%2233882.96%21395286148.76%1286274946.78%667129551.51%198413891953586102251648.0%10.1%90.2%100.3FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2861
Neutral Zone Start 1295
Defensive Zone Start 2749
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3348
Faceoffs Lost 3557
Team Average Shots after League Average Shots after
1st Period 10.49.57
2nd Period 19.820.31
3rd Period 29.530.68
Overtime 29.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.01.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 179
PP Goal 64
PK Goal 2
Empty Net Goal 1
Home Away
Win 2219
Lost 1420
Overtime Lost 52
PP Attempt 294
PP Goal 64
PK Attempt 223
PK Goal Against 38
Home
Shots For 29.6
Shots Against 29.3
Goals For 3.0
Goals Against 2.9
Hits 20.7
Shots Blocked 8.1
Pim 6.5
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@FlyersNJDPHI3,NJD2RECAP
Thu, Dec 8FlyersCOL@FlyersPHICOL1,PHI2 (OT)RECAP
Sat, Dec 10FlyersOTT@FlyersPHIOTT2,PHI1 (OT)RECAP
Mon, Dec 12FlyersPHI@FlyersCOLPHI6,COL7RECAP
Wed, Dec 14FlyersBUF@FlyersPHIBUF2,PHI7RECAP
Fri, Dec 16FlyersSTL@FlyersPHISTL2,PHI3RECAP
Wed, Jan 4FlyersPHI@FlyersNYRPHI5,NYR1RECAP
Thu, Jan 5FlyersPHI@FlyersEDMPHI4,EDM0RECAP
Sat, Jan 7FlyersWSH@FlyersPHIWSH1,PHI5RECAP
Tue, Jan 10FlyersCGY@FlyersPHICGY4,PHI1RECAP
Thu, Jan 12FlyersPHI@FlyersSTLPHI2,STL1RECAP
Fri, Jan 13FlyersPHI@FlyersBOSPHI3,BOS2RECAP
Sun, Jan 15FlyersFLA@FlyersPHIFLA3,PHI4 (SO)RECAP
Tue, Jan 17FlyersLOS@FlyersPHILOS3,PHI5RECAP
Thu, Jan 19FlyersPHI@FlyersDALPHI4,DAL2RECAP
Sat, Jan 21FlyersPHI@FlyersANAPHI6,ANA2RECAP
Mon, Jan 23FlyersVGK@FlyersPHIVGK3,PHI5RECAP
Wed, Jan 25FlyersCHI@FlyersPHICHI1,PHI4RECAP
Thu, Jan 26FlyersPHI@FlyersMTLPHI3,MTL2 (SO)RECAP
Fri, Jan 27FlyersPHI@FlyersCGYPHI3,CGY4RECAP
Sun, Jan 29FlyersDAL@FlyersPHIDAL5,PHI2RECAP
Tue, Jan 31FlyersFLA@FlyersPHIFLA3,PHI2RECAP
Thu, Feb 2FlyersPHI@FlyersNYIPHI5,NYI6RECAP
Sat, Feb 4FlyersPHI@FlyersFLAPHI1,FLA0RECAP
Sun, Feb 5FlyersMTL@FlyersPHIMTL2,PHI1RECAP
Wed, Feb 8FlyersPIT@FlyersPHIPIT4,PHI6RECAP
Fri, Feb 10FlyersPHI@FlyersLOSPHI1,LOS4RECAP
Sun, Feb 12FlyersVAN@FlyersPHIVAN4,PHI2RECAP
Mon, Feb 13FlyersPHI@FlyersFLAPHI2,FLA3 (OT)RECAP
Wed, Feb 15FlyersDET@FlyersPHIDET5,PHI4 (SO)RECAP
Thu, Feb 16FlyersPHI@FlyersVANPHI2,VAN6RECAP
Sun, Feb 19FlyersPHI@FlyersVGKPHI2,VGK5RECAP
Mon, Feb 20FlyersNJD@FlyersPHINJD4,PHI6RECAP
Wed, Feb 22FlyersEDM@FlyersPHIEDM0,PHI4RECAP
Mon, Feb 27FlyersPHI@FlyersOTTPHI2,OTT4RECAP
Wed, Mar 1FlyersWSH@FlyersPHIWSH3,PHI4RECAP
Mon, Mar 6FlyersPHI@FlyersDETPHI4,DET3RECAP
Wed, Mar 8FlyersPHI@FlyersTORPHI3,TOR2 (OT)RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Thu, Mar 9FlyersOTT@FlyersPHIOTT4,PHI2RECAP
Wed, Mar 15FlyersPHI@FlyersNYIPHI5,NYI1RECAP
Mon, Mar 20FlyersPHI@FlyersPITPHI1,PIT3RECAP
Tue, Mar 21FlyersNYI@FlyersPHINYI3,PHI0RECAP
Fri, Mar 24FlyersTOR@FlyersPHITOR3,PHI8RECAP
Mon, Mar 27FlyersPHI@FlyersCHIPHI3,CHI1RECAP
Tue, Mar 28FlyersNYI@FlyersPHINYI5,PHI1RECAP
Sat, Apr 1FlyersVAN@FlyersPHIVAN3,PHI4 (OT)RECAP
Sun, Apr 2FlyersPHI@FlyersNYRPHI3,NYR4RECAP
Mon, Apr 3FlyersPHI@FlyersPITPHI3,PIT5RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
81,987,500$ 0$ 77,597,764$ 5,902,236$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity65005000350015651000
Ticket Price105$75$55$40$199$
Attendance2587052008831359486416539107
Attendance PCT97.08%97.99%94.74%100.00%95.38%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 17044 - 97.03% 1,830,984$75,070,351$17565100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
81,987,500$ 79,093,063$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
84,241,069$ 427,530$ 77,597,764$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 462,095$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 77,597,764$ 160,616,016$ 160,616,016$
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:37FlyersUSA
Tomas TatarAGE:32FlyersSVK
Jake DeBruskAGE:26FlyersCAN
Jared McCannAGE:26FlyersCAN
Johan LarssonAGE:30FlyersSWE
Otto KoivulaAGE:24FlyersFIN
Joel FarabeeAGE:23FlyersUSA
Mika ZibanejadAGE:29FlyersSWE
Robert ThomasAGE:23FlyersCAN
Paul StastnyAGE:37FlyersUSA
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:23FlyersUSA

Defense #1Defense #2Goalie
Victor HedmanAGE:32FlyersSWE
Jonas BrodinAGE:29FlyersSWE
Erik JohnsonAGE:35FlyersUSA
Vince DunnAGE:26FlyersCAN
Erik BrannstromAGE:23FlyersSWE
Slater KoekkoekAGE:29FlyersCAN
Dante FabbroAGE:24FlyersCAN
J.J. MoserAGE:22FlyersCHE
Jacob BrysonAGE:25FlyersCAN
Juuso ValimakiAGE:24FlyersFIN
Kevin BahlAGE:22FlyersCAN
Nikita OkhotiukAGE:22FlyersRUS
Ronnie AttardAGE:24FlyersUSA
Connor CliftonAGE:27FlyersUSA
Linus UllmarkAGE:29FlyersSWE
Sergei BobrovskyAGE:34FlyersRUS
Pavel FrancouzAGE:32FlyersCZE
Craig AndersonAGE:41FlyersUSA
Justus AnnunenAGE:23FlyersFIN

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
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
Vitali KravtsovFlyersFlyers20196
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
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
Vitali KravtsovFlyersFlyers20196
News








































































































































































































Injuries
Sergei Bobrovsky is suspended for 2 more games.

Game Center

Flyers41-34-7, 89pts34Final
Rangers35-40-7, 77pts

Flyers41-34-7, 89pts35Final
Penguins39-36-7, 85pts

Capitals30-45-7, 67ptsWed, Oct 05Wells Fargo Center
Flyers41-34-7, 89pts

Panthers45-26-11, 101ptsFri, Oct 07Wells Fargo Center
Flyers41-34-7, 89pts

Flyers41-34-7, 89ptsSun, Oct 09Air Canada Center
MapleLeafs28-50-4, 60pts

Team Leaders

GOALS
Mika Zibanejad
31
ASSISTS
Victor Hedman
63
POINTS
Mika Zibanejad
83
PLUS/MINUS
Johnny Gaudreau
20
WINS
Sergei Bobrovsky
36
SV%
Linus Ullmark
0.911

Team Stats


Goals For
246
3.00 GFG
Shots For
2431
29.65 Avg
Power Play Percentage
21.8%
64 GF
Offensive Zone Start
51.0%
Goals Against
235
2.87 GAA
Shots Against
2404
29.32 Avg
Penalty Kill Percentage
83.0%
38 GA
Defensive Zone Start
49.0%

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
Attendance17,044
Season Tickets0

Roster Info

Active Roster21/23
Contract Limit35/50
Prospects & Player's Rights24
Reserve List59/90

Salary Cap

Total Cap Hit77,597,764$
Cap Hit Percentage92.93%
Projected Cap Space5,902,236$
Retains & Buyout0$

Finance

Team Revenue75,070,351$
Estimated Revenue75,070,351$
Estimated Expenses84,241,069$
Operating Income-9,170,718$
Bank Account160,616,016$

Tickets

Section 100105$ | 97.08%
Section 20075$ | 97.99%
Section 30055$ | 94.74%
Section 40040$ | 100.00%
Suites199$ | 95.38%

Team History

202241-34-7 (89PTS)
Record (W-L-OTL)84-62-18 (186PTS)
Playoff Appearances2
Playoff Record (W-L)6-8
Stanley Cup0

Entry Draft