Connexion

Philadelphia Flyers
GP: 25 | W: 13 | L: 11 | OTL: 1 | P: 27
GF: 83 | GA: 69 | PP%: 22.52% | PK%: 79.79%
DG: Jonathan Girard | Morale : 66 | Moyenne d’équipe : N/A
Prochains matchs #414 vs Florida Panthers
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Centre de jeu
New York Rangers
8-12-3, 19pts
0
FINAL
4 Philadelphia Flyers
13-11-1, 27pts
Team Stats
OTW1SéquenceL1
4-6-1Fiche domicile10-3-0
4-6-2Fiche visiteur3-8-1
6-3-1Derniers 10 matchs6-3-1
2.91Buts par match 3.32
3.65Buts contre par match 2.76
15.96%Pourcentage en avantage numérique22.52%
74.12%Pourcentage en désavantage numérique79.79%
Philadelphia Flyers
13-11-1, 27pts
0
FINAL
3 St. Louis Blues
16-7-2, 34pts
Team Stats
L1SéquenceW3
10-3-0Fiche domicile10-2-0
3-8-1Fiche visiteur6-5-2
6-3-1Derniers 10 matchs8-1-1
3.32Buts par match 3.08
2.76Buts contre par match 2.20
22.52%Pourcentage en avantage numérique20.41%
79.79%Pourcentage en désavantage numérique91.03%
Florida Panthers
16-7-2, 34pts
Jour 63
Philadelphia Flyers
13-11-1, 27pts
Statistiques d’équipe
W2SéquenceL1
10-3-1Fiche domicile10-3-0
6-4-1Fiche visiteur3-8-1
5-3-210 derniers matchs6-3-1
3.36Buts par match 3.32
2.92Buts contre par match 3.32
19.80%Pourcentage en avantage numérique22.52%
79.21%Pourcentage en désavantage numérique79.79%
Philadelphia Flyers
13-11-1, 27pts
Jour 65
Boston Bruins
13-11-1, 27pts
Statistiques d’équipe
L1SéquenceW1
10-3-0Fiche domicile9-4-1
3-8-1Fiche visiteur4-7-0
6-3-110 derniers matchs5-5-0
3.32Buts par match 2.96
2.76Buts contre par match 2.96
22.52%Pourcentage en avantage numérique17.12%
79.79%Pourcentage en désavantage numérique82.57%
Utah Hockey Club
10-12-2, 22pts
Jour 66
Philadelphia Flyers
13-11-1, 27pts
Statistiques d’équipe
L1SéquenceL1
4-5-1Fiche domicile10-3-0
6-7-1Fiche visiteur3-8-1
5-4-110 derniers matchs6-3-1
2.71Buts par match 3.32
3.13Buts contre par match 3.32
21.11%Pourcentage en avantage numérique22.52%
75.56%Pourcentage en désavantage numérique79.79%
Meneurs d'équipe
Buts
Nikita Kucherov
14
Passes
Steven Stamkos
16
Points
Nikita Kucherov
26
Plus/Moins
Owen Power
12
Victoires
Logan Thompson
9
Pourcentage d’arrêts
Logan Thompson
0.915

Statistiques d’équipe
Buts pour
83
3.32 GFG
Tirs pour
846
33.84 Avg
Pourcentage en avantage numérique
22.5%
25 GF
Début de zone offensive
43.7%
Buts contre
69
2.76 GAA
Tirs contre
749
29.96 Avg
Pourcentage en désavantage numérique
79.8%%
19 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralJonathan Girard
EntraîneurJon Cooper
DivisionMetropolitan
ConférenceEastern Conference
CapitaineSteven Stamkos
Assistant #1Quinn Hughes
Assistant #2J.T. Miller


Informations de l’aréna

NomWachovia Center
Capacité20,000
Assistance19,257
Billets de saison8,000


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 250
Espoirs37


Plafond salarial

Cap Salarial de la Saison estimé73,957,990$
Plafond salarial disponible9,542,010$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour22,666,730$
Dépenses annuelles à ce jour23,704,988$
Revenus de la saison estimés48,820,649$
Dépenses de la saison estimées57,837,344$
Compte bancaire actuel34,099,000$
Compte bancaire projeté26,230,547$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Patrick KaneXX100.005733927966898384598077648390805255003527,000,000$
2Steven Stamkos (C)XXX100.007035848576899083858284678687954961003456,500,000$
3J.T. Miller (A)XX100.008264778183919083868782848180766560003114,500,000$
4Erik HaulaXX100.007137797570878971847268867180742958003322,500,000$
5Nikita KucherovX100.006534898669929091639584669079765462003139,000,000$
6Jesperi KotkaniemiXX100.007136837381839072817068647366708664002414,500,000$
7Logan O'ConnorXXX100.007243847369858667586865876669703662002831,000,000$
8David Gustafsson (R)X100.00663895648075776382605575586466686000244775,000$
9Quinton ByfieldXXX100.00724581779486887463736970766268915800222832,500$
10Tim StutzleXX100.007335828474928982758680718463728960002225,000,000$
11Lucas RaymondXX100.00663489827088897956787666806471894900221925,000$
12Logan Cooley (R)XX100.00623393746586757376697067756066915500203950,000$
13Erik JohnsonX100.007844926491868461306257854887774459003616,000,000$
14Erik GudbransonX100.007383736494918861307358885081735560003224,000,000$
15Ryan LindgrenX100.007238816773908663307455894968676956002612,000,000$
16Bowen ByramX100.007342747675918175307674735963648856002318,499,999$
17Alexander Alexeyev (R)X100.00773895668983736230635865506567754800244775,000$
18Owen PowerX100.00623990729794896830796177536268926400212925,000$
Rayé
1Quinn Hughes (A)X75.496233868366959082309572716367818443002448,600,000$
Équipe Mineure
1Ross JohnstonX100.007885575696727555615451575371703550003021,100,000$
2Julien GauthierX100.00824095699277796457606862676971705000262775,000$
3Oliver WahlstromXX100.00724281678079726857666461696465835000244874,125$
4Vitali Kravtsov (R)XX100.00403540673580904020404040306364115000241875,000$
5Nathan Smith (R)X100.00663879597073715766585660556668605000253775,000$
6Marc MichaelisX100.00403540403580904020404040302525115000291700,000$
7Jack Drury (R)X100.00604286656784886385676166636568725000241925,000$
8Ethen Frank (R)X100.00603692636992836461596558636668425000262775,000$
9Matt IrwinX100.00765383628078845730605668487879205000361750,000$
10Robbie RussoX100.006439846273728657306153564771734950003111,000,000$
11Kurtis MacDermidX100.00778964599669765863555764567173355000301975,000$
12Donovan Sebrango (R)X100.00664469547562735330555256456264685000222867,500$
13Egor Zamula (R)X100.00723988678382836630726163536466434800241750,000$
14Brandon Scanlin (R)X100.00774182599075835830575660496567425000253775,000$
15Justin Barron (R)X100.00723889698186876730706864556364815000222925,000$
16Joseph Duszak (R)X100.00564070626571705830655655496769375000272750,000$
17Filip Johansson (R)X100.00643795597371695830575453466466795000242925,000$
MOYENNE D’ÉQUIPE99.3268438168768383665068636760686960540
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Logan Thompson (R)100.0082988287838787888875936877586500272825,000$
2Pyotr Kochetkov (R)99.0079968484808182828270896573755100253842,500$
Rayé
1Spencer Knight100.00689979826969686969577763718442002324,500,000$
Équipe Mineure
1Clay Stevenson (R)100.0062957385636263626353786573425000254867,500$
2Jakub Dobes (R)100.0059957687606061606150766370565000232925,000$
MOYENNE D’ÉQUIPE99.807097798571727272736183657363520
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper88859480857962CAN5711,521,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Nikita KucherovPhiladelphia FlyersRW25141226-1202151103177913.59%250720.30741121100000002145.10%5100001.0200000401
2J.T. MillerPhiladelphia FlyersC/RW2512132521808155117307210.26%1147418.975382684000003054.19%62000001.0500000241
3Tim StutzlePhiladelphia FlyersC/LW251310230200555297275013.40%559723.88437251000003920145.39%71600000.7700000233
4Steven StamkosPhiladelphia FlyersC/LW/RW254162002054288424594.76%252020.8211011201000000160055.45%20200000.7700000301
5Owen PowerPhiladelphia FlyersD25216181218021212812257.14%2659924.0015617101101157000%000000.6000000000
6Bowen ByramPhiladelphia FlyersD2541216-5275301628171614.29%1639815.952681589000011100%000000.8000000000
7Patrick KanePhiladelphia FlyersC/RW25861422022757184614.04%248619.4531410810000212038.71%6200000.5800000001
8Erik HaulaPhiladelphia FlyersC/LW2541014712024266712305.97%531312.551127140003450150.00%3800000.8900000101
9Quinn HughesPhiladelphia FlyersD201131428026213711202.70%1542121.070772769000019000%000000.6600000001
10Logan O'ConnorPhiladelphia FlyersC/LW/RW25941376017343142729.03%934813.950110001121013047.06%1700000.7500000031
11Erik JohnsonPhiladelphia FlyersD253912730047252671911.54%3956022.411011483000075100%000000.4300000001
12Lucas RaymondPhiladelphia FlyersLW/RW25281014013297722502.60%346218.500331981000000036.36%3300000.4300000001
13Ryan LindgrenPhiladelphia FlyersD2517802205429177145.88%5052821.1300012000280000%000000.3000000001
14Logan CooleyPhiladelphia FlyersC/LW253587007262662111.54%22409.6301107000001048.71%27100000.6600000001
15Erik GudbransonPhiladelphia FlyersD25055-1421034174350%3238815.5400016011077000%000000.2600110000
16Jesperi KotkaniemiPhiladelphia FlyersC/LW2520206088185811.11%01134.5400000000000033.33%300000.3500000000
17David GustafssonPhiladelphia FlyersC25112-100414103710.00%31696.80000000001440050.81%18500000.2400000000
18Quinton ByfieldPhiladelphia FlyersC/LW/RW2502206012716490%21134.5300000000000050.00%200000.3500000000
19Egor ZamulaLeHigh Valley Phantoms (PHI)D2000220201020%13718.770001600000000%00000000000000
20Alexander AlexeyevPhiladelphia FlyersD3000000212100%24715.740000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne4508314923241227155144878462305599.81%227732916.292545702049321231264513349.41%220000000.6300110121014
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Logan ThompsonPhiladelphia Flyers189710.9152.451029424249500000169021
2Pyotr KochetkovPhiladelphia Flyers94400.8943.45470022725400000916200
Statistiques d’équipe totales ou en moyenne27131110.9082.761500446974900002525221


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander AlexeyevPhiladelphia FlyersD241999-11-15RUSYes213 Lbs6 ft4NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$546,827$775,000$546,827$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Bowen ByramPhiladelphia FlyersD232001-06-13CANNo190 Lbs6 ft1NoNoN/ANoNo12024-08-21FalseFalsePro & Farm8,499,999$5,997,461$8,499,999$5,997,461$No---------------------------Lien
David GustafssonPhiladelphia FlyersC242000-04-11SWEYes196 Lbs6 ft2NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$546,827$775,000$546,827$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Erik GudbransonPhiladelphia FlyersD321992-01-07CANNo222 Lbs6 ft5NoNoN/ANoNo22024-05-19FalseFalsePro & Farm4,000,000$2,822,335$4,000,000$2,822,335$No4,000,000$--------4,000,000$--------No--------Lien
Erik HaulaPhiladelphia FlyersC/LW331991-03-23FINNo191 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm2,500,000$1,763,959$2,500,000$1,763,959$No2,500,000$--------2,500,000$--------No--------Lien
Erik JohnsonPhiladelphia FlyersD361988-07-27USANo225 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm6,000,000$4,233,503$6,000,000$4,233,503$No---------------------------Lien
J.T. MillerPhiladelphia FlyersC/RW311993-03-14USANo218 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm4,500,000$3,175,127$4,500,000$3,175,127$No---------------------------Lien
Jesperi KotkaniemiPhiladelphia FlyersC/LW242000-07-06FINNo201 Lbs6 ft2NoNoN/ANoNo12024-08-21FalseFalsePro & Farm4,500,000$3,175,127$4,500,000$3,175,127$No---------------------------Lien
Logan CooleyPhiladelphia FlyersC/LW202004-05-04USAYes174 Lbs5 ft10NoNoAssign ManuallyNoNo32024-08-20FalseFalsePro & Farm950,000$670,305$950,000$670,305$No950,000$950,000$-------600,000$600,000$-------NoNo-------Lien
Logan O'ConnorPhiladelphia FlyersC/LW/RW281996-08-14CANNo175 Lbs6 ft0NoNoN/ANoNo32024-05-19FalseFalsePro & Farm1,000,000$705,584$1,000,000$705,584$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Logan ThompsonPhiladelphia FlyersG271997-02-25CANYes205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm825,000$582,107$825,000$582,107$No825,000$--------702,019$--------No--------Lien
Lucas RaymondPhiladelphia FlyersLW/RW222002-03-28SWENo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$652,665$925,000$652,665$No---------------------------Lien
Nikita KucherovPhiladelphia FlyersRW311993-06-17RUSNo182 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm9,000,000$6,350,254$9,000,000$6,350,254$No9,000,000$9,000,000$-------9,000,000$9,000,000$-------NoNo-------Lien
Owen PowerPhiladelphia FlyersD212002-11-22CANNo221 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm925,000$652,665$925,000$652,665$No925,000$--------600,000$--------No--------Lien
Patrick KanePhiladelphia FlyersC/RW351989-07-28USANo177 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm7,000,000$4,939,086$7,000,000$4,939,086$No7,000,000$--------7,000,000$--------No--------Lien
Pyotr KochetkovPhiladelphia FlyersG251999-06-25RUSYes205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm842,500$594,454$842,500$594,454$No842,500$842,500$-------600,000$600,000$-------NoNo-------Lien
Quinn Hughes (sur la masse salariale)Philadelphia FlyersD241999-10-14USANo180 Lbs5 ft10NoNoN/ANoNo42024-05-19FalseFalsePro & Farm8,600,000$6,068,020$0$0$Yes8,600,000$8,600,000$8,600,000$------8,600,000$8,600,000$8,600,000$------NoNoNo------Lien
Quinton ByfieldPhiladelphia FlyersC/LW/RW222002-08-19CANNo225 Lbs6 ft5NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$587,398$832,500$587,398$No832,500$--------832,500$--------No--------Lien
Ryan LindgrenPhiladelphia FlyersD261998-02-11USANo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$1,411,168$2,000,000$1,411,168$No---------------------------Lien
Spencer KnightPhiladelphia FlyersG232001-04-19USANo192 Lbs6 ft3NoNoN/ANoNo22024-05-19FalseFalsePro & Farm4,500,000$3,175,127$4,500,000$3,175,127$No4,500,000$--------4,500,000$--------No--------Lien
Steven StamkosPhiladelphia FlyersC/LW/RW341990-07-28CANNo193 Lbs6 ft1NoNoN/ANoNo52024-05-19FalseFalsePro & Farm6,500,000$4,586,294$6,500,000$4,586,294$No6,500,000$6,500,000$6,500,000$6,500,000$-----6,500,000$6,500,000$6,500,000$6,500,000$-----NoNoNoNo-----Lien
Tim StutzlePhiladelphia FlyersC/LW222002-01-15DEUNo197 Lbs6 ft0NoNoN/ANoNo22024-05-19FalseFalsePro & Farm5,000,000$3,527,919$5,000,000$3,527,919$No5,000,000$--------5,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.68198 Lbs6 ft12.323,656,818$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
80,449,999$54,025,000$28,442,500$16,650,000$6,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas RaymondJ.T. MillerNikita Kucherov38014
2Steven StamkosTim StutzlePatrick Kane37014
3Erik HaulaLogan CooleyLogan O'Connor20032
4Jesperi KotkaniemiDavid GustafssonQuinton Byfield5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerRyan Lindgren40023
2Erik JohnsonAlexander Alexeyev36032
3Erik GudbransonBowen Byram24041
4Owen PowerRyan Lindgren0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim StutzleSteven StamkosNikita Kucherov70014
2Lucas RaymondJ.T. MillerPatrick Kane30014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bowen ByramOwen Power70014
2Erik HaulaErik Johnson30014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tim StutzleLogan O'Connor60140
2David GustafssonErik Haula40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonRyan Lindgren60140
2Owen PowerErik Gudbranson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Erik Haula60050Ryan LindgrenErik Johnson60140
2Logan O'Connor40050Owen PowerErik Gudbranson40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Erik HaulaLogan O'Connor60122
2David GustafssonTim Stutzle40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonOwen Power60023
2Ryan LindgrenErik Johnson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim StutzleSteven StamkosNikita KucherovJ.T. MillerBowen Byram
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Erik HaulaDavid GustafssonLogan O'ConnorRyan LindgrenErik Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Haula, Logan O'Connor, Lucas RaymondLogan Cooley, Tim StutzleLogan O'Connor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Power, Erik Gudbranson, Ryan LindgrenOwen PowerErik Johnson, Ryan Lindgren
Tirs de pénalité
Steven Stamkos, Nikita Kucherov, Tim Stutzle, Patrick Kane, Lucas Raymond
Gardien
#1 : Logan Thompson, #2 : Pyotr Kochetkov, #3 : 0
Lignes d’attaque personnalisées en prolongation
Nikita Kucherov, Tim Stutzle, J.T. Miller, Steven Stamkos, Patrick Kane, Lucas Raymond, Lucas Raymond, Logan O'Connor, Erik Haula, Logan Cooley, Quinton Byfield
Lignes de défense personnalisées en prolongation
Bowen Byram, Owen Power, Ryan Lindgren, Erik Johnson, Alexander Alexeyev


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Boston Bruins21100000660110000004311010000023-120.500611170032107126252007212163411218.18%8275.00%050296052.29%41585648.48%17038044.74%503643142513
2Buffalo Sabres11000000312110000003120000000000021.000369001110331212901754268112.50%20100.00%050296052.29%41585648.48%17038044.74%2719198126
3Calgary Flames1010000035-2000000000001010000035-200.0003690011103081480481210133133.33%5180.00%050296052.29%41585648.48%17038044.74%2014276125
4Carolina Hurricanes2200000014410110000007251100000072541.0001426400081508739232504413232814321.43%50100.00%050296052.29%41585648.48%17038044.74%543940142413
5Chicago Blackhawks11000000523110000005230000000000021.00058130013102371150321423253266.67%40100.00%050296052.29%41585648.48%17038044.74%1912276136
6Colorado Avalanche11000000431110000004310000000000021.000471100022042101319024543022100.00%10100.00%050296052.29%41585648.48%17038044.74%2517216136
7Edmonton Oilers11000000725000000000001100000072521.00071320002320381118902754185120.00%20100.00%050296052.29%41585648.48%17038044.74%2922186116
8Florida Panthers1010000034-1000000000001010000034-100.000369002010271341003776222150.00%3166.67%050296052.29%41585648.48%17038044.74%2012266125
9Minnesota Wild11000000321110000003210000000000021.0003690001204261917023714224250.00%7185.71%050296052.29%41585648.48%17038044.74%2315247125
10Montreal Canadiens1010000057-21010000057-20000000000000.00058130022102551010023111224400.00%6266.67%050296052.29%41585648.48%17038044.74%2315237136
11Nashville Predators1000010012-1000000000001000010012-110.5001120010003891215225176208112.50%20100.00%050296052.29%41585648.48%17038044.74%2920207116
12New York Rangers11000000404110000004040000000000021.0004610011210439102401734187228.57%20100.00%050296052.29%41585648.48%17038044.74%2720206126
13Ottawa Senators1010000005-5000000000001010000005-500.0000000000002431110043151623200.00%8275.00%050296052.29%41585648.48%17038044.74%1912277136
14San Jose Sharks1010000012-11010000012-10000000000000.000112000100274121102866226116.67%30100.00%050296052.29%41585648.48%17038044.74%2417247115
15Seattle Kraken11000000505000000000001100000050521.0005101501401036121590251310273133.33%40100.00%150296052.29%41585648.48%17038044.74%2215237137
16St. Louis Blues2020000027-51010000024-21010000003-300.000246001100491915150541619516116.67%7442.86%050296052.29%41585648.48%17038044.74%453048142513
17Tampa Bay Lightning1010000023-1000000000001010000023-100.00024600110032915804215820100.00%30100.00%050296052.29%41585648.48%17038044.74%2216256115
18Vancouver Canucks21100000541110000002021010000034-120.5005914010230541519200581224448112.50%11281.82%050296052.29%41585648.48%17038044.74%463147142613
19Vegas Golden Knights11000000505110000005050000000000021.0005712011310421292102282166233.33%10100.00%050296052.29%41585648.48%17038044.74%2821207116
20Washington Capitals21100000510-5110000004221010000018-720.50051015001310832526320883120318112.50%10460.00%050296052.29%41585648.48%17038044.74%443152142310
Total2513110010083691413103000004928211238001003441-7270.5408314923204302924084625429329727492272315141112522.52%941979.79%150296052.29%41585648.48%17038044.74%605422584178311157
_Since Last GM Reset2513110010083691413103000004928211238001003441-7270.5408314923204302924084625429329727492272315141112522.52%941979.79%150296052.29%41585648.48%17038044.74%605422584178311157
_Vs Conference1266000004240265100000271512615000001525-10120.50042771190119121104251411361480383112109226571017.54%471176.60%050296052.29%41585648.48%17038044.74%2912032798514975
_Vs Division5410000023149330000001541121100000810-280.8002342650110670213735981014947477729620.69%17476.47%050296052.29%41585648.48%17038044.74%12691113346030

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2527L18314923284674922723151404
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25131101008369
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1310300004928
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
123801003441
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1112522.52%941979.79%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
25429329723029240
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
50296052.29%41585648.48%17038044.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
605422584178311157


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
822Philadelphia Flyers3Vancouver Canucks4LSommaire du match
935Philadelphia Flyers3Calgary Flames5LSommaire du match
1256Philadelphia Flyers7Edmonton Oilers2WSommaire du match
1471Philadelphia Flyers5Seattle Kraken0WSommaire du match
1682Vancouver Canucks0Philadelphia Flyers2WSommaire du match
1992Washington Capitals2Philadelphia Flyers4WSommaire du match
20108Philadelphia Flyers1Washington Capitals8LSommaire du match
23123Minnesota Wild2Philadelphia Flyers3WSommaire du match
24138Montreal Canadiens7Philadelphia Flyers5LSommaire du match
26148Philadelphia Flyers2Boston Bruins3LSommaire du match
28162St. Louis Blues4Philadelphia Flyers2LSommaire du match
30175Boston Bruins3Philadelphia Flyers4WSommaire du match
33197Philadelphia Flyers7Carolina Hurricanes2WSommaire du match
35210Philadelphia Flyers2Tampa Bay Lightning3LSommaire du match
37225Philadelphia Flyers3Florida Panthers4LSommaire du match
39240San Jose Sharks2Philadelphia Flyers1LSommaire du match
42258Philadelphia Flyers0Ottawa Senators5LSommaire du match
44278Buffalo Sabres1Philadelphia Flyers3WSommaire du match
46289Colorado Avalanche3Philadelphia Flyers4WSommaire du match
48302Carolina Hurricanes2Philadelphia Flyers7WSommaire du match
51318Chicago Blackhawks2Philadelphia Flyers5WSommaire du match
53338Vegas Golden Knights0Philadelphia Flyers5WSommaire du match
55356Philadelphia Flyers1Nashville Predators2LXSommaire du match
57362New York Rangers0Philadelphia Flyers4WSommaire du match
58381Philadelphia Flyers0St. Louis Blues3LSommaire du match
63414Florida Panthers-Philadelphia Flyers-
65425Philadelphia Flyers-Boston Bruins-
66441Utah Hockey Club-Philadelphia Flyers-
68449Philadelphia Flyers-Columbus Blue Jackets-
70462Detroit Red Wings-Philadelphia Flyers-
72476Philadelphia Flyers-Minnesota Wild-
76507Philadelphia Flyers-Detroit Red Wings-
77513Los Angeles Kings-Philadelphia Flyers-
79535Columbus Blue Jackets-Philadelphia Flyers-
81550Philadelphia Flyers-Pittsburgh Penguins-
86568Philadelphia Flyers-Anaheim Ducks-
87585Philadelphia Flyers-Los Angeles Kings-
89599Philadelphia Flyers-San Jose Sharks-
91612Philadelphia Flyers-Vegas Golden Knights-
94635Philadelphia Flyers-Toronto Maple Leafs-
96644Toronto Maple Leafs-Philadelphia Flyers-
98657Dallas Stars-Philadelphia Flyers-
100675Anaheim Ducks-Philadelphia Flyers-
102689Florida Panthers-Philadelphia Flyers-
103698Philadelphia Flyers-Columbus Blue Jackets-
105712Philadelphia Flyers-New York Islanders-
107722Philadelphia Flyers-New Jersey Devils-
110751Detroit Red Wings-Philadelphia Flyers-
112763Philadelphia Flyers-New York Rangers-
113772Philadelphia Flyers-New York Islanders-
116795New Jersey Devils-Philadelphia Flyers-
118809Philadelphia Flyers-New Jersey Devils-
119816New York Islanders-Philadelphia Flyers-
122836Philadelphia Flyers-Colorado Avalanche-
124854Philadelphia Flyers-Utah Hockey Club-
126864Washington Capitals-Philadelphia Flyers-
128881Pittsburgh Penguins-Philadelphia Flyers-
142892Edmonton Oilers-Philadelphia Flyers-
145922Pittsburgh Penguins-Philadelphia Flyers-
147938Philadelphia Flyers-Pittsburgh Penguins-
149956Philadelphia Flyers-Winnipeg Jets-
152977Calgary Flames-Philadelphia Flyers-
154991Winnipeg Jets-Philadelphia Flyers-
1561004Seattle Kraken-Philadelphia Flyers-
1571013New Jersey Devils-Philadelphia Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1591027Ottawa Senators-Philadelphia Flyers-
1611043Tampa Bay Lightning-Philadelphia Flyers-
1631061Carolina Hurricanes-Philadelphia Flyers-
1651074Philadelphia Flyers-Tampa Bay Lightning-
1681092Philadelphia Flyers-Washington Capitals-
1701105Philadelphia Flyers-Dallas Stars-
1711118Philadelphia Flyers-Chicago Blackhawks-
1731130Philadelphia Flyers-Toronto Maple Leafs-
1751146Montreal Canadiens-Philadelphia Flyers-
1771159Buffalo Sabres-Philadelphia Flyers-
1791179Nashville Predators-Philadelphia Flyers-
1841217Philadelphia Flyers-Montreal Canadiens-
1881246Philadelphia Flyers-New York Rangers-
1911265New York Islanders-Philadelphia Flyers-
1921276Philadelphia Flyers-Ottawa Senators-
1941295Columbus Blue Jackets-Philadelphia Flyers-
1961307Philadelphia Flyers-Buffalo Sabres-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000400040001000
Prix des billets92543020200
Assistance76,96464,72043,65352,00013,000
Attendance PCT98.67%99.57%83.95%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 19257 - 96.28% 1,743,595$22,666,730$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
23,704,988$ 80,449,999$ 67,284,519$ 1,521,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
364,721$ 23,261,771$ 0$ 21 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
48,820,649$ 139 416,096$ 57,837,344$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
58,980,696$ 34,099,000$ 26,230,547$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,957,990$ 9,542,010$ 83,500,000$ 12,257,990$



Charte de profondeur

Ailier gaucheCentreAilier droit
Quinton ByfieldAGE:22PO:91OV:0
Logan Cooley (R)AGE:20PO:91OV:0
Tim StutzleAGE:22PO:89OV:0
Lucas RaymondAGE:22PO:89OV:0
Jesperi KotkaniemiAGE:24PO:86OV:0
Oliver WahlstromAGE:24PO:83OV:0
Steven StamkosAGE:34PO:49OV:0
Logan O'ConnorAGE:28PO:36OV:0
Ross JohnstonAGE:30PO:35OV:0
Erik HaulaAGE:33PO:29OV:0
Vitali Kravtsov (R)AGE:24PO:11OV:0
Marc MichaelisAGE:29PO:11OV:0
Quinton ByfieldAGE:22PO:91OV:0
Logan Cooley (R)AGE:20PO:91OV:0
Tim StutzleAGE:22PO:89OV:0
Jesperi KotkaniemiAGE:24PO:86OV:0
Jack Drury (R)AGE:24PO:72OV:0
David Gustafsson (R)AGE:24PO:68OV:0
J.T. MillerAGE:31PO:65OV:0
Nathan Smith (R)AGE:25PO:60OV:0
Patrick KaneAGE:35PO:52OV:0
Steven StamkosAGE:34PO:49OV:0
Ethen Frank (R)AGE:26PO:42OV:0
Logan O'ConnorAGE:28PO:36OV:0
Erik HaulaAGE:33PO:29OV:0
Quinton ByfieldAGE:22PO:91OV:0
Lucas RaymondAGE:22PO:89OV:0
Oliver WahlstromAGE:24PO:83OV:0
Julien GauthierAGE:26PO:70OV:0
J.T. MillerAGE:31PO:65OV:0
Nikita KucherovAGE:31PO:54OV:0
Patrick KaneAGE:35PO:52OV:0
Steven StamkosAGE:34PO:49OV:0
Logan O'ConnorAGE:28PO:36OV:0
Vitali Kravtsov (R)AGE:24PO:11OV:0

Défense #1Défense #2Gardien
Owen PowerAGE:21PO:92OV:0
Bowen ByramAGE:23PO:88OV:0
Quinn HughesAGE:24PO:84OV:0
Justin Barron (R)AGE:22PO:81OV:0
Filip Johansson (R)AGE:24PO:79OV:0
Alexander Alexeyev (R)AGE:24PO:75OV:0
Ryan LindgrenAGE:26PO:69OV:0
Donovan Sebrango (R)AGE:22PO:68OV:0
Erik GudbransonAGE:32PO:55OV:0
Robbie RussoAGE:31PO:49OV:0
Erik JohnsonAGE:36PO:44OV:0
Egor Zamula (R)AGE:24PO:43OV:0
Brandon Scanlin (R)AGE:25PO:42OV:0
Joseph Duszak (R)AGE:27PO:37OV:0
Kurtis MacDermidAGE:30PO:35OV:0
Matt IrwinAGE:36PO:20OV:0
Spencer KnightAGE:23PO:84OV:0
Pyotr Kochetkov (R)AGE:25PO:75OV:0
Logan Thompson (R)AGE:27PO:58OV:0
Jakub Dobes (R)AGE:23PO:56OV:0
Clay Stevenson (R)AGE:25PO:42OV:0

Espoirs

Astuces sur les filtres (anglais seulement)
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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Ahti OksanenPhiladelphia Flyers00
Alec RauhausserPhiladelphia Flyers00
Alexander KhovanovPhiladelphia Flyers00
Alexander SalakPhiladelphia Flyers00
Anton MalmstromPhiladelphia Flyers00
Anton WahlbergPhiladelphia Flyers00
Anttoni HonkaPhiladelphia Flyers00
Ben JonesPhiladelphia Flyers00
Bennett MacArthurPhiladelphia Flyers00
Chase StillmanPhiladelphia Flyers002024-09-14
Danila KlimovichPhiladelphia Flyers00
David MusilPhiladelphia Flyers00
Dmitri RashevskyPhiladelphia Flyers00
Dylan MclaughlinPhiladelphia Flyers00
Ej EmeryPhiladelphia Flyers00
Henry MewsPhiladelphia Flyers00
Hunter DrewPhiladelphia Flyers00
Jani NymanPhiladelphia Flyers00
Johny TychonickPhiladelphia Flyers00
Kari PiironenPhiladelphia Flyers00
Luke PavicichPhiladelphia Flyers00
Malte SetkovPhiladelphia Flyers00
Marcel MarcelPhiladelphia Flyers00
Michael SimpsonPhiladelphia Flyers00
Nate SucesePhiladelphia Flyers00
Nikita CherepanovPhiladelphia Flyers00
Philip BeaulieuPhiladelphia Flyers00
Reto SuriPhiladelphia Flyers00
Ryan McGregorPhiladelphia Flyers00
Strauss MannPhiladelphia Flyers00
Taylor WardPhiladelphia Flyers00
Ty SmilanicPhiladelphia Flyers00
Tyce ThompsonPhiladelphia Flyers00
Viljami MarjalaPhiladelphia Flyers00
Ville MeskanenPhiladelphia Flyers00
Will ReillyPhiladelphia Flyers00
Zac LynchPhiladelphia Flyers00

Choix au repêchage

Année R1R2R3R4R5R6R7
22PHI PHI PHI PHI PHI PHI PHI
23PHI PHI PHI DET PHI PHI PHI PHI
24PHI PHI PHI PHI PHI PHI PHI
25PHI PHI PHI PHI PHI PHI PHI
26PHI PHI PHI PHI PHI PHI PHI
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Philadelphia Flyers Historique de transactions

[11/5/2024 7:15:55 AM] - Philadelphia Flyers hired Jon Cooper for $1,521,000 for 1 year(s).
[11/5/2024 7:15:32 AM] - Philadelphia Flyers fired Lindy Ruff.
[10/10/2024 8:47:37 PM] - J.T. Miller has been selected as assistant for Philadelphia Flyers.
[10/10/2024 8:47:36 PM] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[9/26/2024 8:41:56 PM] - TRADE : From Philadelphia Flyers to Detroit Red Wings : Ville Husso.
[9/26/2024 8:41:56 PM] - TRADE : From Detroit Red Wings to Philadelphia Flyers : Y:23-RND:4-DET.
[9/14/2024 10:28:57 PM] - TRADE : From Nashville Predators to Philadelphia Flyers : Chase Stillman (P).
[9/14/2024 10:28:57 PM] - TRADE : From Philadelphia Flyers to Nashville Predators : Zach Parise.
[9/12/2024 9:51:42 PM] - Derick Brassard was released.
[9/12/2024 9:51:42 PM] - Philadelphia Flyers paid $0 to release Derick Brassard.
[8/21/2024 9:35:25 PM] - Radek Faksa was released.
[8/21/2024 9:35:25 PM] - Philadelphia Flyers paid $0 to release Radek Faksa.
[8/21/2024 9:35:13 PM] - Ethan Prow was released.
[8/21/2024 9:35:13 PM] - Philadelphia Flyers paid $0 to release Ethan Prow.
[8/20/2024 9:39:46 PM] - Brandon Scanlin has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:37 PM] - Donovan Sebrango has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:29 PM] - Jakub Dobes has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:21 PM] - Clay Stevenson has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:14 PM] - Nathan Smith has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:10 PM] - Filip Johansson has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:06 PM] - Justin Barron has been deleted from Philadelphia Flyers.
[8/20/2024 9:39:02 PM] - Ethen Frank has been deleted from Philadelphia Flyers.
[8/20/2024 9:38:58 PM] - Logan Cooley has been deleted from Philadelphia Flyers.
[8/18/2024 2:19:44 PM] - Brandon Scanlin was added to Philadelphia Flyers.
[8/18/2024 2:19:38 PM] - Donovan Sebrango was added to Philadelphia Flyers.
[8/18/2024 2:19:26 PM] - Jakub Dobes was added to Philadelphia Flyers.
[8/18/2024 2:19:20 PM] - Clay Stevenson was added to Philadelphia Flyers.
[8/18/2024 2:19:14 PM] - Nathan Smith was added to Philadelphia Flyers.
[8/18/2024 2:10:14 PM] - Filip Johansson was added to Philadelphia Flyers.
[8/18/2024 2:10:08 PM] - Justin Barron was added to Philadelphia Flyers.
[8/18/2024 2:10:01 PM] - Ethen Frank was added to Philadelphia Flyers.
[8/18/2024 2:09:55 PM] - Logan Cooley was added to Philadelphia Flyers.
[8/10/2024 10:43:07 PM] - Michael Simpson has been added to Philadelphia Flyers.
[8/10/2024 10:40:14 PM] - Henry Mews has been added to Philadelphia Flyers.
[8/10/2024 10:40:05 PM] - Ej Emery has been added to Philadelphia Flyers.



[2024-11-20 17:46:41] Save Lines for Philadelphia Flyers -
[11/20/2024 9:39:08 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client from IP:70.81.109.165 .
[11/19/2024 7:37:07 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/18/2024 8:06:13 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/18/2024 8:06:01 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client from IP:70.26.233.47 .
[11/18/2024 8:06:01 AM] Alexander Alexeyev of Philadelphia Flyers was sent to pro.
[11/16/2024 10:55:40 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/16/2024 10:55:39 AM] Game 338 - Quinn Hughes from Philadelphia Flyers is injured (Right Hip) and is out for 2 weeks.
[11/13/2024 7:30:39 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[11/13/2024 7:30:39 AM] Game 356 - Unknown Player from LeHigh Valley Phantoms is injured (Torso) and is out for 2 days.
[11/13/2024 7:29:32 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client from IP:198.103.109.141 .
[11/12/2024 7:16:12 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[11/9/2024 10:24:20 AM] Joseph Duszak from LeHigh Valley Phantoms is back from Torso Injury.
[11/9/2024 10:23:39 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client from IP:76.71.218.54 .
[11/8/2024 7:11:38 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/8/2024 7:11:38 AM] Game 325 - Joseph Duszak from LeHigh Valley Phantoms is injured (Torso) and is out for 4 days.
[11/7/2024 7:20:52 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[11/6/2024 7:20:45 AM] Lucas Raymond from Philadelphia Flyers is back from Bruised Left Leg Injury.
[11/6/2024 7:20:45 AM] Game 278 - Lucas Raymond from Philadelphia Flyers is injured (Bruised Left Leg) and is out for 2 days.
[11/5/2024 7:15:55 AM] Philadelphia Flyers hired Jon Cooper for $1,521,000 for 1 year(s).
[11/5/2024 7:15:32 AM] Philadelphia Flyers fired Lindy Ruff.
[11/4/2024 7:14:20 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/4/2024 7:14:20 AM] Game 287 - Unknown Player from LeHigh Valley Phantoms is injured (Left Hand) and is out for the game.
[11/2/2024 8:04:16 AM] LeHigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.



Quinn Hughes est dehors pour 1 semaine à cause de Right Hip Injury.



Philadelphia Flyers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Philadelphia Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Philadelphia Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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

Philadelphia Flyers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Philadelphia Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA