Connexion

Philadelphia Flyers
GP: 2 | W: 1 | L: 1
GF: 7 | GA: 7 | PP%: 25.00% | PK%: 87.50%
DG: Kyle Liboiron | Morale : 60 | Moyenne d’équipe : 75
#17 vs Ottawa Senators
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Centre de jeu
Ottawa Senators
1-1-0, 2pts
4
FINAL
7 Philadelphia Flyers
1-1-0, 2pts
Team Stats
W1SéquenceL1
0-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-0-0
1-1-0Derniers 10 matchs1-1-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
12.50%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique87.50%
Ottawa Senators
1-1-0, 2pts
3
FINAL
0 Philadelphia Flyers
1-1-0, 2pts
Team Stats
W1SéquenceL1
0-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-0-0
1-1-0Derniers 10 matchs1-1-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
12.50%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique87.50%
Philadelphia Flyers
1-1-0, 2pts
2024-04-23
Ottawa Senators
1-1-0, 2pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-1-0
1-1-010 derniers matchs1-1-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique12.50%
87.50%Pourcentage en désavantage numérique75.00%
Philadelphia Flyers
1-1-0, 2pts
2024-04-25
Ottawa Senators
1-1-0, 2pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-1-0
1-1-010 derniers matchs1-1-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique12.50%
87.50%Pourcentage en désavantage numérique75.00%
Ottawa Senators
1-1-0, 2pts
2024-04-27
Philadelphia Flyers
1-1-0, 2pts
Statistiques d’équipe
W1SéquenceL1
0-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-0-0
1-1-010 derniers matchs1-1-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
12.50%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Buts
Nathan MacKinnon
2
Passes
Hampus Lindholm
2
Points
Nathan MacKinnon
3
Plus/Moins
Nathan MacKinnon
2
Victoires
Carter Hart
1
Pourcentage d’arrêts
Carter Hart
0.908

Statistiques d’équipe
Buts pour
7
3.50 GFG
Tirs pour
72
36.00 Avg
Pourcentage en avantage numérique
25.0%
1 GF
Début de zone offensive
39.3%
Buts contre
7
3.50 GAA
Tirs contre
76
38.00 Avg
Pourcentage en désavantage numérique
87.5%%
1 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralKyle Liboiron
EntraîneurWayne Gretzky
DivisionEast
ConférenceEastern Conference
CapitaineNathan MacKinnon
Assistant #1
Assistant #2Mikko Rantanen


Informations de l’aréna

NomWells Fargo Center
Capacité20,000
Assistance19,313
Billets de saison8,000


Informations de la formation

Équipe Pro23
Équipe Mineure22
Limite contact 45 / 45
Espoirs3


Plafond salarial Non Activé

Cap Salarial de la Saison estimé0$
Plafond salarial disponible90,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour2,652,750$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel467,399,679$
Compte bancaire projeté467,399,679$


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
1Nathan MacKinnon (C)17X100.006948828980888693729587646876710608402816,300,000$
2Mikko Rantanen (A)16X100.006940738182889187748890646869660608202739,250,000$
3Joe Pavelski0X100.007440927181799479818474716794810607803912,750,000$
4Alex Tuch0X100.007140868184818379678480727165590607802744,750,000$
5Kyle Connor14X100.006740898166869381538580646168590607702747,142,857$
6Adrian Kempe0X100.007457798177809374597585737769590607702745,500,000$
7Joel Eriksson Ek0X100.008040797579819373797972776867660607602775,250,000$
8Boone Jenner0X100.007657807379848472857676715775740607603043,750,000$
9Blake Wheeler0X100.007040767084788675698369676490840607503728,250,000$
10Martin Necas15X100.006940827871789273698172685662590607402523,000,000$
11Kirby Dach0X100.007165768178808169587669718560580607302343,362,500$
12Jeff Carter10X100.007240826886719165907367746494750607203923,125,000$
13Nathan Walker72X100.00676681657261695971685967546058060640301750,000$
14Hampus Lindholm0X100.007240749082918669408063895475600607803086,500,000$
15Noah Hanifin5X100.007364867681899267407962855873600607502724,950,000$
16Noah Dobson23X100.007040878171859170408065765461580607402434,000,000$
17Luke Schenn0X100.00907677739175886240746085548466060740341850,000$
18Justin Holl0X100.007664817973849361407358895462590607303211,000,000$
19Erik Johnson0X100.007340877188778359407159875483720607203613,000,000$
20Alexander Edler4X100.00734076667974796140735979578768060700381750,000$
21Jakub Zboril74X100.007140837077696256407257795456580606702721,137,500$
Rayé
Équipe Mineure
1Lane Pederson90X100.00666076587161615771646064545857060620261750,000$
2Nils Aman0X100.00624178616361675659665667515354060610242883,750$
3Garrett Pilon70XX100.00555566606164635960575862546056060590261750,000$
4Nate Schnarr44X100.00555566586364625670565760545855060580251750,000$
5Ryan Suzuki47X100.00555467576263615870575859545553060580221750,000$
6Linus Karlsson0X100.00535560605765635952566056545652060580241750,000$
7Matej Blumel0X100.00525266606262605752575858515451060580232925,000$
8Ruslan Iskhakov82X100.00525761585164625952585757575451060570231750,000$
9Oskar Olausson48X100.00525663585963615452535555515149060560213894,167$
10Eetu Tuulola29X100.00535261556862615452535560515652060560261750,000$
11Oliver Kapanen (R)46X100.00454545454545454545454545454545060450204750,000$
12Paul Ludwinski (R)77X100.00454545454545454545454545454545060450204750,000$
13Viktor Neuchev (R)80X100.00454545454545454545454545454545060450204750,000$
14Ethan Gauthier (R)0X100.00454545454545454545454545454545060450255750,000$
15Nils Lundkvist22X100.00644477677270695940676072545656060650232925,000$
16Ronnie Attard0X100.00565370607169635940615967545856060620251883,750$
17Maxence Guenette0X100.00555567606567645940605658545553060590222813,333$
18Brandt Clarke0X100.00574366626462535138655164515052060580213894,167$
19Jacob Moverare21X100.00555466576864625740575560546056060580252762,500$
20Sami Niku73X100.00525164536158565338535259515954060550271750,000$
MOYENNE D’ÉQUIPE100.0063507266707073635568626757635906066
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
1Carter Hart30100.00809090798176857688778764590608102523,979,000$
2Logan Thompson37100.0075747481727381737778815955060750273766,667$
Rayé
Équipe Mineure
1Alex Lyon32100.0064626367736272646461576861060650311750,000$
2Drew Commesso (R)31100.0045454545454545454545454545060450224750,000$
MOYENNE D’ÉQUIPE100.006668686868647165696568595506067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky75757575757575CAN6230$


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
1Nathan MacKinnonPhiladelphia FlyersC22132001121351115.38%14422.0310133000090064.47%7600001.3600000100
2Hampus LindholmPhiladelphia FlyersD21231202231233.33%24120.730001400006000%000001.4500000001
3Adrian KempePhiladelphia FlyersLW22131003262833.33%03216.440000300000010%100001.8200000010
4Mikko RantanenPhiladelphia FlyersRW2022200135220%04321.97011130000900100.00%200000.9100000000
5Noah HanifinPhiladelphia FlyersD2022100113230%14221.420002400007000%000000.9300000000
6Boone JennerPhiladelphia FlyersC2202-1203551040.00%02412.3800000000001068.75%3200001.6200000000
7Blake WheelerPhiladelphia FlyersRW2011-100103020%02412.3800000000000033.33%300000.8100000000
8Joel Eriksson EkPhiladelphia FlyersLW2011-100424020%02512.8000000000000050.00%200000.7800000000
9Luke SchennPhiladelphia FlyersD2011-280751010%13417.440000200003000%000000.5700000000
10Justin HollPhiladelphia FlyersD2011100403210%12512.550000000000000%000000.8000000000
11Martin NecasPhiladelphia FlyersRW2000000025120%0136.730000000000000%00000000000000
12Kirby DachPhiladelphia FlyersLW2000000135040%0136.78000000000000100.00%10000000000000
13Kyle ConnorPhiladelphia FlyersLW2000-100011060%03216.200000300000000%20000000000000
14Jakub ZborilPhiladelphia FlyersD2000000211000%1147.120000000000000%00000000000000
15Jeff CarterPhiladelphia FlyersC2000000103000%1136.7300000000000068.18%220000000000000
16Noah DobsonPhiladelphia FlyersD2000-100334010%43819.380003200006000%00000000000000
17Joe PavelskiPhiladelphia FlyersC2000-120271230%13718.6300003000040065.22%460000000000000
18Erik JohnsonPhiladelphia FlyersD2000040221100%02814.010000000003000%00000000000000
19Alexander EdlerPhiladelphia FlyersD2000000221000%3147.300000000000000%00000000000000
20Alex TuchPhiladelphia FlyersRW2000-100444150%03718.6400003000040025.00%40000000000000
Statistiques d’équipe totales ou en moyenne4071219-118044577220539.72%1658314.5811210360000571163.87%19100000.6500000111
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
1Carter HartPhiladelphia Flyers21100.9083.50120007760000020000
Statistiques d’équipe totales ou en moyenne21100.9083.5012000776000020000


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Adrian Kempe (contrat à 1 volet)Philadelphia FlyersLW2709/13/96No200 Lbs6 ft2NoNoN/ANoNo4Pro & Farm5,500,000$5,500,000$3,928,571$No5,500,000$5,500,000$5,500,000$------NoNoNo------Lien
Alex Tuch (contrat à 1 volet)Philadelphia FlyersRW2705/10/96No219 Lbs6 ft4NoNoN/ANoNo4Pro & Farm4,750,000$4,750,000$3,392,857$No4,750,000$4,750,000$4,750,000$------NoNoNo------Lien
Alexander EdlerPhiladelphia FlyersD3804/21/86No210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$750,000$535,714$No------------------Lien
Blake Wheeler (contrat à 1 volet)Philadelphia FlyersRW3708/31/86No220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm8,250,000$8,250,000$5,892,857$No8,250,000$--------No--------Lien
Boone Jenner (contrat à 1 volet)Philadelphia FlyersC3006/15/93No203 Lbs6 ft2NoNoN/ANoNo4Pro & Farm3,750,000$3,750,000$2,678,571$No3,750,000$3,750,000$3,750,000$------NoNoNo------Lien
Carter Hart (contrat à 1 volet)Philadelphia FlyersG2508/13/98No181 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,979,000$3,979,000$2,842,143$No3,979,000$--------No--------Lien
Erik Johnson (contrat à 1 volet)Philadelphia FlyersD3603/21/88No225 Lbs6 ft4NoNoN/ANoNo1Pro & Farm3,000,000$3,000,000$2,142,857$No------------------Lien
Hampus Lindholm (contrat à 1 volet)Philadelphia FlyersD3001/20/94No215 Lbs6 ft4NoNoN/ANoNo8Pro & Farm6,500,000$6,500,000$4,642,857$No6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$--NoNoNoNoNoNoNo--Lien
Jakub ZborilPhiladelphia FlyersD2702/21/97No201 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,137,500$1,137,500$812,500$No1,137,500$--------No--------Lien
Jeff Carter (contrat à 1 volet)Philadelphia FlyersC3901/01/85No219 Lbs6 ft3NoNoN/ANoNo2Pro & Farm3,125,000$3,125,000$2,232,143$No3,125,000$--------No--------Lien
Joe Pavelski (contrat à 1 volet)Philadelphia FlyersC3907/11/84No200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm2,750,000$2,750,000$1,964,286$No------------------Lien
Joel Eriksson Ek (contrat à 1 volet)Philadelphia FlyersLW2701/29/97No207 Lbs6 ft3NoNoN/ANoNo7Pro & Farm5,250,000$5,250,000$3,750,000$No5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$---NoNoNoNoNoNo---Lien
Justin Holl (contrat à 1 volet)Philadelphia FlyersD3201/30/92No197 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$1,000,000$714,286$No------------------Lien
Kirby Dach (contrat à 1 volet)Philadelphia FlyersLW2301/21/01No212 Lbs6 ft4NoNoN/ANoNo4Pro & Farm3,362,500$3,362,500$2,401,786$No3,362,500$3,362,500$3,362,500$------NoNoNo------Lien
Kyle Connor (contrat à 1 volet)Philadelphia FlyersLW2712/09/96No179 Lbs6 ft2NoNoN/ANoNo4Pro & Farm7,142,857$7,142,857$5,102,041$No7,142,857$7,142,857$7,142,857$------NoNoNo------Lien
Logan ThompsonPhiladelphia FlyersG2702/25/97No205 Lbs6 ft4NoNoN/ANoNo3Pro & Farm766,667$766,667$547,619$No766,667$766,667$-------NoNo-------Lien
Luke SchennPhiladelphia FlyersD3411/02/89No225 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,000$850,000$607,143$No------------------Lien
Martin Necas (contrat à 1 volet)Philadelphia FlyersRW2501/15/99No189 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$3,000,000$2,142,857$No3,000,000$--------No--------Lien
Mikko Rantanen (contrat à 1 volet)Philadelphia FlyersRW2710/29/96No215 Lbs6 ft4NoNoN/ANoNo3Pro & Farm9,250,000$9,250,000$6,607,143$No9,250,000$9,250,000$-------NoNo-------Lien
Nathan MacKinnon (contrat à 1 volet)Philadelphia FlyersC2809/01/95No200 Lbs6 ft0NoNoN/ANoNo1Pro & Farm6,300,000$6,300,000$4,500,000$No------------------Lien
Nathan WalkerPhiladelphia FlyersLW3002/07/94No187 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$750,000$535,714$No------------------Lien
Noah Dobson (contrat à 1 volet)Philadelphia FlyersD2401/07/00No194 Lbs6 ft4NoNoN/ANoNo3Pro & Farm4,000,000$4,000,000$2,857,143$No4,000,000$4,000,000$-------NoNo-------Lien
Noah Hanifin (contrat à 1 volet)Philadelphia FlyersD2701/25/97No207 Lbs6 ft3NoNoN/ANoNo2Pro & Farm4,950,000$4,950,000$3,535,714$No4,950,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.83205 Lbs6 ft32.743,917,979$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
90,113,524$74,713,524$50,272,024$36,255,357$11,750,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adrian KempeNathan MacKinnonMikko Rantanen30122
2Kyle ConnorJoe PavelskiAlex Tuch30122
3Joel Eriksson EkBoone JennerBlake Wheeler25122
4Kirby DachJeff CarterMartin Necas15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmNoah Hanifin30122
2Noah DobsonLuke Schenn30122
3Justin HollErik Johnson25122
4Alexander EdlerJakub Zboril15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adrian KempeNathan MacKinnonMikko Rantanen60122
2Kyle ConnorJoe PavelskiAlex Tuch40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmNoah Hanifin60122
2Noah DobsonLuke Schenn40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan MacKinnonMikko Rantanen60122
2Joe PavelskiAlex Tuch40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmNoah Hanifin60122
2Noah DobsonLuke Schenn40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan MacKinnon60122Hampus LindholmNoah Hanifin60122
2Mikko Rantanen40122Noah DobsonLuke Schenn40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan MacKinnonMikko Rantanen60122
2Joe PavelskiAlex Tuch40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmNoah Hanifin60122
2Noah DobsonLuke Schenn40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeNathan MacKinnonMikko RantanenHampus LindholmNoah Hanifin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeNathan MacKinnonMikko RantanenHampus LindholmNoah Hanifin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Walker, Boone Jenner, Joel Eriksson EkNathan Walker, Boone JennerJoel Eriksson Ek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Holl, Erik Johnson, Alexander EdlerJustin HollErik Johnson, Alexander Edler
Tirs de pénalité
Nathan MacKinnon, Mikko Rantanen, Joe Pavelski, Alex Tuch, Adrian Kempe
Gardien
#1 : Carter Hart, #2 : Logan Thompson
Lignes d’attaque personnalisées en prolongation
Nathan MacKinnon, Mikko Rantanen, Joe Pavelski, Alex Tuch, Adrian Kempe, Kyle Connor, Kyle Connor, Boone Jenner, Joel Eriksson Ek, Blake Wheeler, Martin Necas
Lignes de défense personnalisées en prolongation
Hampus Lindholm, Noah Hanifin, Noah Dobson, Luke Schenn, Justin Holl


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
1Ottawa Senators21100000770211000007700000000000020.50071219000250722517300761618444125.00%8187.50%0517568.00%538165.43%183551.43%483446142412
Total21100000770211000007700000000000020.50071219000250722517300761618444125.00%8187.50%0517568.00%538165.43%183551.43%483446142412
_Since Last GM Reset21100000770211000007700000000000020.50071219000250722517300761618444125.00%8187.50%0517568.00%538165.43%183551.43%483446142412
_Vs Conference21100000770211000007700000000000020.50071219000250722517300761618444125.00%8187.50%0517568.00%538165.43%183551.43%483446142412
_Vs Division21100000770211000007700000000000020.50071219000250722517300761618444125.00%8187.50%0517568.00%538165.43%183551.43%483446142412

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
22L171219727616184400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
211000077
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000077
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
110000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4125.00%8187.50%0
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
25173000250
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
517568.00%538165.43%183551.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
483446142412


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
1 - 2024-04-191Ottawa Senators4Philadelphia Flyers7BWSommaire du match
3 - 2024-04-219Ottawa Senators3Philadelphia Flyers0BLSommaire du match
5 - 2024-04-2317Philadelphia Flyers-Ottawa Senators-
7 - 2024-04-2525Philadelphia Flyers-Ottawa Senators-
9 - 2024-04-2733Ottawa Senators-Philadelphia Flyers-
11 - 2024-04-2941Philadelphia Flyers-Ottawa Senators-
13 - 2024-05-0149Ottawa Senators-Philadelphia Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité57505250350040001500
Prix des billets100603520200
Assistance10,23510,4246,9668,0003,000
Attendance PCT89.00%99.28%99.51%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 19313 - 96.56% 1,326,375$2,652,750$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 90,113,524$ 96,863,524$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 467,399,679$ 467,399,679$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 90,000,000$ 90,000,000$ -55,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Kyle ConnorAGE:27PO:0OV:77
Adrian KempeAGE:27PO:0OV:77
Joel Eriksson EkAGE:27PO:0OV:76
Kirby DachAGE:23PO:0OV:73
Nathan WalkerAGE:30PO:0OV:64
Oskar OlaussonAGE:21PO:0OV:56
Viktor Neuchev (R)AGE:20PO:0OV:45
Ethan Gauthier (R)AGE:25PO:0OV:45
Nathan MacKinnonAGE:28PO:0OV:84
Joe PavelskiAGE:39PO:0OV:78
Boone JennerAGE:30PO:0OV:76
Jeff CarterAGE:39PO:0OV:72
Lane PedersonAGE:26PO:0OV:62
Nils AmanAGE:24PO:0OV:61
Garrett PilonAGE:26PO:0OV:59
Nate SchnarrAGE:25PO:0OV:58
Ryan SuzukiAGE:22PO:0OV:58
Linus KarlssonAGE:24PO:0OV:58
Oliver Kapanen (R)AGE:20PO:0OV:45
Paul Ludwinski (R)AGE:20PO:0OV:45
Mikko RantanenAGE:27PO:0OV:82
Alex TuchAGE:27PO:0OV:78
Blake WheelerAGE:37PO:0OV:75
Martin NecasAGE:25PO:0OV:74
Garrett PilonAGE:26PO:0OV:59
Matej BlumelAGE:23PO:0OV:58
Ruslan IskhakovAGE:23PO:0OV:57
Eetu TuulolaAGE:26PO:0OV:56

Défense #1Défense #2Gardien
Hampus LindholmAGE:30PO:0OV:78
Noah HanifinAGE:27PO:0OV:75
Noah DobsonAGE:24PO:0OV:74
Luke SchennAGE:34PO:0OV:74
Justin HollAGE:32PO:0OV:73
Erik JohnsonAGE:36PO:0OV:72
Alexander EdlerAGE:38PO:0OV:70
Jakub ZborilAGE:27PO:0OV:67
Nils LundkvistAGE:23PO:0OV:65
Ronnie AttardAGE:25PO:0OV:62
Maxence GuenetteAGE:22PO:0OV:59
Brandt ClarkeAGE:21PO:0OV:58
Jacob MoverareAGE:25PO:0OV:58
Sami NikuAGE:27PO:0OV:55
Carter HartAGE:25PO:0OV:81
Logan ThompsonAGE:27PO:0OV:75
Alex LyonAGE:31PO:0OV:65
Drew Commesso (R)AGE:22PO:0OV:45

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
Arttu KarkiPhiladelphia Flyers202375
Jiri FelcmanPhiladelphia Flyers2023116
Juraj PekarcikPhiladelphia Flyers202384

Choix au repêchage

Année R1R2R3R4
2024
2025
2026
2027
2028
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 ou du STHS.




Philadelphia Flyers Historique de transactions

[04/19/24 10:36:50 PM] - Lehigh Valley Phantoms didn't make playoff for year 2023.
[10/08/23 9:39:37 PM] - Team Name Change : Lehigh Valley Phantoms changed name to Lehigh Valley Phantoms
[08/16/23 12:12:05 PM] - TRADE : From Philadelphia Flyers to Calgary Flames : Sebastian Aho (78), Ivan Provorov (75), Adam Wilsby (55).
[08/16/23 12:12:05 PM] - TRADE : From Calgary Flames to Philadelphia Flyers : Boone Jenner (76), Blake Wheeler (75), Luke Schenn (74), Y:2024-RND:1-MTL, Y:2025-RND:1-MIN, Y:2025-RND:2-CGY.
[08/16/23 12:08:59 PM] - Lane Pederson was added to Philadelphia Flyers.
[08/16/23 12:08:48 PM] - Dominik Simon was released.
[08/16/23 12:08:48 PM] - Philadelphia Flyers paid $0 to release Dominik Simon.
[08/16/23 11:26:39 AM] - Linus Karlsson was added to Philadelphia Flyers.
[08/16/23 11:26:32 AM] - Ruslan Iskhakov was added to Philadelphia Flyers.
[08/16/23 11:26:24 AM] - Nils Aman was added to Philadelphia Flyers.
[08/16/23 11:26:18 AM] - Matej Blumel was added to Philadelphia Flyers.
[08/16/23 11:26:12 AM] - Maxence Guenette was added to Philadelphia Flyers.
[08/09/23 10:28:08 AM] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Justin Holl (73).
[08/09/23 10:28:08 AM] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:2024-RND:3-WPG, Y:2025-RND:4-PHI.
[07/27/23 8:03:30 PM] - TRADE : From New York Islanders to Philadelphia Flyers : Joe Pavelski (78), Erik Johnson (72).
[07/27/23 8:03:30 PM] - TRADE : From Philadelphia Flyers to New York Islanders : Y:2025-RND:1-PHI, Y:2024-RND:2-MTL.
[07/27/23 8:01:00 PM] - TRADE : From Philadelphia Flyers to Winnipeg Jets : Pavel Buchnevich (78), Vladislav Gavrikov (73).
[07/27/23 8:01:00 PM] - TRADE : From Winnipeg Jets to Philadelphia Flyers : Y:2024-RND:1-WPG, Y:2025-RND:1-WPG, Y:2024-RND:3-WPG.
[07/27/23 7:59:48 PM] - TRADE : From Philadelphia Flyers to Carolina Hurricanes : Travis Sanheim (73).
[07/27/23 7:59:48 PM] - TRADE : From Carolina Hurricanes to Philadelphia Flyers : Ronnie Attard (62), Y:2024-RND:1-CAR.
[07/27/23 7:58:04 PM] - TRADE : From Philadelphia Flyers to Colorado Avalanche : Adam Henrique (74).
[07/27/23 7:58:04 PM] - TRADE : From Colorado Avalanche to Philadelphia Flyers : Y:2024-RND:2-ARZ, Y:2024-RND:3-COL.
[07/23/23 8:46:22 PM] - TRADE : From Dallas Stars to Philadelphia Flyers : Y:2025-RND:1-DAL, Y:2025-RND:3-DAL.
[07/23/23 8:46:22 PM] - TRADE : From Philadelphia Flyers to Dallas Stars : Ryan Pulock (73).
[07/23/23 8:45:52 PM] - TRADE : From Montreal Canadiens to Philadelphia Flyers : Kirby Dach (73), Brandt Clarke (58), Y:2025-RND:1-MTL, Y:2024-RND:2-MTL.
[07/23/23 8:45:52 PM] - TRADE : From Philadelphia Flyers to Montreal Canadiens : Jack Hughes (81), Joel Farabee (70), Jonathan Quick (79).
[07/23/23 8:44:18 PM] - TRADE : From Philadelphia Flyers to Nashville Predators : Zach Hyman (77).
[07/23/23 8:44:18 PM] - TRADE : From Nashville Predators to Philadelphia Flyers : Y:2025-RND:1-NSH, Y:2025-RND:2-NSH.
[07/19/23 11:10:26 PM] - Ethan Gauthier was added to Philadelphia Flyers.
[07/19/23 11:09:15 PM] - TRADE : From Philadelphia Flyers to Seattle Kraken : Elias Pettersson (80), Andrei Svechnikov (76), Seth Jones (77).
[07/19/23 11:09:15 PM] - TRADE : From Seattle Kraken to Philadelphia Flyers : Alex Tuch (78), Adrian Kempe (77), Joel Eriksson Ek (76), Travis Sanheim (73), Hampus Lindholm (78), Ethan Gauthier (P), Y:2024-RND:2-SEA.
[07/19/23 11:05:35 PM] - Philadelphia Flyers drafts Jiri Felcman as the #116 overall pick in the Entry Draft of year 2023.
[07/16/23 12:16:30 AM] - Philadelphia Flyers drafts Juraj Pekarcik as the #84 overall pick in the Entry Draft of year 2023.
[07/16/23 12:15:24 AM] - Philadelphia Flyers drafts Arttu Karki as the #75 overall pick in the Entry Draft of year 2023.
[07/15/23 4:34:16 PM] - General Manager Change : Philadelphia Flyers hired general manager Kyle Liboiron
[07/15/23 4:34:16 PM] - General Manager Change : Philadelphia Flyers fired general manager Diego Adam
[05/29/23 11:29:26 PM] - Philadelphia Flyers was eliminated at round 3 of year 2022.
[05/12/23 10:51:31 PM] - Lehigh Valley Phantoms was eliminated at round 2 of year 2022.
[03/07/23 2:17:49 PM] - Jayden Halbgewachs was released.
[03/07/23 2:17:49 PM] - Philadelphia Flyers paid $0 to release Jayden Halbgewachs.
[03/07/23 2:12:57 PM] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:2023-RND:1-PHI.
[03/07/23 2:12:57 PM] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Zach Hyman (74).



[04/22/24 9:32:19 PM] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.3.9.9
[04/22/24 9:32:19 PM] Nathan Walker of Philadelphia Flyers was sent to pro.
[04/22/24 9:32:19 PM] Alexander Edler of Philadelphia Flyers was sent to pro.
[04/22/24 9:32:19 PM] Jakub Zboril of Philadelphia Flyers was sent to pro.
[04/16/24 10:36:07 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/13/24 3:17:08 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/11/24 9:42:19 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/09/24 10:36:40 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/06/24 10:21:38 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/05/24 10:42:28 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/01/24 9:57:30 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[03/30/24 10:42:10 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased. But, Lehigh Valley Phantoms lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.



Pas de blessure ou de suspension.


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