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Flyers
GP: 34 | W: 14 | L: 16 | OTL: 4 | P: 32
GF: 95 | GA: 119 | PP%: 15.70% | PK%: 80.60%
DG: Alexandre Fortier | Morale : 40 | Moyenne d’équipe : 71
Prochains matchs #582 vs Panthers
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Centre de jeu
Penguins
24-12-1, 49pts
6
FINAL
2 Flyers
14-16-4, 32pts
Team Stats
L1SéquenceL2
11-7-0Fiche domicile8-8-2
13-5-1Fiche visiteur6-8-2
8-2-0Derniers 10 matchs6-4-0
3.78Buts par match 2.79
2.76Buts contre par match 3.50
18.52%Pourcentage en avantage numérique15.70%
80.39%Pourcentage en désavantage numérique80.60%
Flyers
14-16-4, 32pts
3
FINAL
4 Panthers
15-16-5, 35pts
Team Stats
L2SéquenceW1
8-8-2Fiche domicile6-8-4
6-8-2Fiche visiteur9-8-1
6-4-0Derniers 10 matchs2-6-2
2.79Buts par match 2.92
3.50Buts contre par match 3.42
15.70%Pourcentage en avantage numérique14.52%
80.60%Pourcentage en désavantage numérique78.64%
Panthers
15-16-5, 35pts
2024-11-21
Flyers
14-16-4, 32pts
Statistiques d’équipe
W1SéquenceL2
6-8-4Fiche domicile8-8-2
9-8-1Fiche visiteur6-8-2
2-6-210 derniers matchs6-4-0
2.92Buts par match 2.79
3.42Buts contre par match 2.79
14.52%Pourcentage en avantage numérique15.70%
78.64%Pourcentage en désavantage numérique80.60%
Flyers
14-16-4, 32pts
2024-11-25
Capitals
20-11-6, 46pts
Statistiques d’équipe
L2SéquenceSOW1
8-8-2Fiche domicile11-4-3
6-8-2Fiche visiteur9-7-3
6-4-010 derniers matchs6-2-2
2.79Buts par match 2.97
3.50Buts contre par match 2.97
15.70%Pourcentage en avantage numérique11.92%
80.60%Pourcentage en désavantage numérique78.52%
Penguins
24-12-1, 49pts
2024-11-26
Flyers
14-16-4, 32pts
Statistiques d’équipe
L1SéquenceL2
11-7-0Fiche domicile8-8-2
13-5-1Fiche visiteur6-8-2
8-2-010 derniers matchs6-4-0
3.78Buts par match 2.79
2.76Buts contre par match 2.79
18.52%Pourcentage en avantage numérique15.70%
80.39%Pourcentage en désavantage numérique80.60%
Meneurs d'équipe
Buts
Jaden Schwartz
15
Passes
Quinn Hughes
21
Points
Jaden Schwartz
31
Plus/Moins
Nail Yakupov
12
Victoires
Filip Gustavsson
7
Pourcentage d’arrêts
Louis Domingue
0.9

Statistiques d’équipe
Buts pour
95
2.79 GFG
Tirs pour
938
27.59 Avg
Pourcentage en avantage numérique
15.7%
19 GF
Début de zone offensive
39.2%
Buts contre
119
3.50 GAA
Tirs contre
1088
32.00 Avg
Pourcentage en désavantage numérique
80.6%%
26 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralAlexandre Fortier
EntraîneurDan Bylsma
DivisionDivision Métropolitaine
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomWachovia Center
Capacité20,000
Assistance19,084
Billets de saison8,000


Informations de la formation

Équipe Pro20
Équipe Mineure28
Limite contact 48 / 56
Espoirs18


Plafond salarial Non Activé

Cap Salarial de la Saison estimé73,700,000$
Plafond salarial disponible4,300,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour31,115,920$
Dépenses annuelles à ce jour31,954,864$
Revenus de la saison estimés39,759,231$
Dépenses de la saison estimées42,514,586$
Compte bancaire actuel27,699,947$
Compte bancaire projeté25,830,208$


Historique d'équipe

Saison actuelle14-16-4 (32PTS)
Historique54-49-12 (0.470%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Paul StastnyX100.0075418461709591929393858183999920437903838,500,000$
2Brad MarchandXX100.0076487070699590846988897488999931497703628,250,000$
3Jaden SchwartzXX100.0063509171719289886685857980919649557603217,000,000$
4Nazem KadriX100.0076458671729493808283797680997442457503416,000,000$
5Pavel BuchnevichXX100.0067468574729292806981777876858057497302936,500,000$
6Nail YakupovXX100.0043369970719093866185857384847852497303115,500,000$
7Trevor ZegrasX100.006745847869889174717773727762687049700231900,000$
8Gabriel VilardiXX100.006745907374818776707476737664576845690252900,000$
9Max ComtoisXX100.0074538075758192736672727373656366506802523,000,000$
10Nic DowdXX100.00724587747177837378717374707267404968N0341900,000$
11Jesper BoqvistX100.006345917470809172677572687061486670660261900,000$
12Alexey ToropchenkoXX100.007646807472727873666370766351476854650251900,000$
13Quinn HughesX100.0065469082719292884589777366757970497502557,500,000$
14Anthony DeAngeloX100.0066458577728790844582837770797159487302915,500,000$
15Filip HronekX100.0073508576729090804580727661706064497202714,000,000$
16K'andre MillerX100.007549867677879282457972766669616946720241900,000$
17Josh BrownX100.0076797573767884744568688064655053506803012,000,000$
18Mike ReillyX100.00654586737180807345766972677157534468N0311900,000$
Rayé
Équipe Mineure
1Marc McLaughlinX100.0071458274737872746368746975605468326702521,500,000$
2Brendan PerliniXX98.0065458872737285727271717262865859456702811,700,000$
3Kiefer SherwoodXX100.0064469672707072697767677168624856376402921,200,000$
4Zachary SenyshynXXX98.0069578872717676666566697166544860486402731,200,000$
5Pascal LabergeX99.006545857268747470736567666051486049630261750,000$
6Ivan ChekhovichXX100.006445907267727267676970626548466054630252750,000$
7Filip ChlapikX100.0073457370717273686470686966544860506302731,000,000$
8Kirill SlepetsXX95.596245927265727266676563696248466030610252750,000$
9Justin KeaX100.007657676876717462736362635959524548610302900,000$
10Jakub IzackyXX100.005942837065596461636160666256544926590302500,000$
11Jakub ZborilX100.0070458578738287734575637056594863436702722,000,000$
12Rob O'GaraX100.0064439070747775694572646956615249516503111,300,000$
13Maxwell GildonX100.006444867268717267456666725648466041630252750,000$
14Tomas KundratekX100.006044937072707367456463686255463846620341800,000$
15Filip WesterlundX100.006751877268717159456161675747456037610252750,000$
16Mitchell Chaffee (R)X93.007545927870727474617072746645456041650261900,000$
17Marek TvrdonXX93.0065458569756666696066666664474550506203111,000,000$
18Erik Karlsson (foward)XX95.6059459373667270656065616260514656416103011,000,000$
19Joel MustonenXX100.005343917166647661625961646062504837590321500,000$
20Peter ReginXX100.0058418964695862636559606558645521195803811,000,000$
21Jordan SchmaltzX95.3961448970727478764573697456675949346703111,700,000$
22Kale ClagueX71.296245867269788467457168676056476037630261900,000$
23Brycen MartinX85.506450817272706862456162645454465732610282800,000$
24Ben ThomasX100.006747907069686958456264655750465720600283700,000$
25Ryan RehillX100.008472546575645656455754655452525320580292500,000$
MOYENNE D’ÉQUIPE98.19674785727177797260717071666458554366
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
1Filip Gustavsson100.00848786798985878887918766626032710262900,000$
2Louis Domingue100.007979778080828985868976676849226903212,750,000$
Rayé
Équipe Mineure
1Martin Jones100.006550507675767577807175996036256303411,000,000$
2Marek Langhamer98.00788580797675817474768150585324630302900,000$
3Criss de jambon (R)100.005050505050505050505050505050394303511,000,000$
MOYENNE D’ÉQUIPE99.6071706973747476757575746660502862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma92858692999972USA554500,000$


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
1Jaden SchwartzFlyersLW/RW34151631-17282012501173010112.82%1368720.2265113510921341153243.16%23400010.9012103213
2Nail YakupovFlyersLW/RW341312251200323110195811.82%760017.66426301111011151138.98%5900000.8305000320
3Quinn HughesFlyersD3432124-51402034488346.25%3467319.8017835107011010010%000000.7100000001
4Brad MarchandFlyersLW/RW34101323-12160693011750688.55%967519.87257241071014723038.96%7700010.6801000211
5K'andre MillerFlyersD3401919-337548223010300%3472721.41044201020110107000%000000.5200010001
6Paul StastnyFlyersC329918-16160346779255811.39%1361619.2611212620110961053.66%75100000.5835000032
7Nazem KadriFlyersC3351217-510036396022438.33%854716.59055141070000170150.80%56500200.6213000022
8Josh BrownFlyersD3411617-553157523165216.25%4361618.1501103000086000%000000.5500111000
9Gabriel VilardiFlyersLW/RW336814-4240272658144510.34%256517.1421310104000070043.23%22900000.4900000000
10Pavel BuchnevichFlyersLW/RW34103134120295352134119.23%662618.431121310510121051055.81%4300000.4101000030
11Anthony DeAngeloFlyersD343811-111802236328249.38%3767319.801121043000073100%000000.3300000200
12Filip HronekFlyersD342911-82004433266217.69%4267819.950115170000116100%000000.3200000001
13Trevor ZegrasFlyersC334610-410017434113369.76%240512.28112662000001046.12%49000000.4901000012
14Mike ReillyFlyersD20461066016131011240.00%1632516.2600000011034000%000000.6200000001
15Max ComtoisFlyersLW/RW34257-22552615444324.55%238311.27011338000000041.98%8100000.3700001000
16Nic DowdFlyersLW/RW34336-94027253415288.82%437411.0300000000000051.43%3500000.3200000000
17Alexey ToropchenkoFlyersLW/RW19033260104122140%61427.49000110221390071.43%1400000.4200000000
18Jesper BoqvistFlyersC21123-240620213104.76%122410.6700000000000050.00%24200000.2700000000
19Kiefer SherwoodPhantoms (Phi)LW/RW6011100133120%2437.2500011000010050.00%400000.4600000000
20Marc McLaughlinPhantoms (Phi)C1210101003714387.14%212010.0500000000040045.35%8600000.1700000000
21Jakub ZborilPhantoms (Phi)D14011-712011155220%2025318.1100011000036000%000000.0800000000
22Zachary SenyshynPhantoms (Phi)C/LW/RW5101-12002101100.00%0316.3700000000000036.00%2500000.6300000000
23Brendan PerliniPhantoms (Phi)LW/RW9000-200348560%0546.010000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne61193173266-88327455395879382596959.91%3031004716.44193655220109057121293912548.57%293600220.5351822591314
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
1Louis DomingueFlyers227920.9003.4392601535300000.667121717310
2Filip GustavssonFlyers247720.8893.27113720625570010.66761717200
Statistiques d’équipe totales ou en moyenne46141640.8943.352063211151087001183434510


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
Alexey ToropchenkoFlyersLW/RW251999-06-25No187 Lbs6 ft3NoNoN/ANoYes1Pro & Farm900,000$900,000$515,676$No------------------Lien
Anthony DeAngeloFlyersD291995-10-24No180 Lbs5 ft11NoNoN/ANoNo1Pro & Farm5,500,000$5,500,000$3,151,351$No------------------Lien
Brad MarchandFlyersLW/RW361988-05-11No188 Lbs5 ft10NoNoN/ANoNo2Pro Only8,250,000$8,250,000$4,727,027$No8,250,000$--------No--------Lien
Filip GustavssonFlyersG261998-06-07No184 Lbs6 ft2NoNoTrade2024-04-30NoNo2Pro & Farm900,000$900,000$515,676$No900,000$--------No--------Lien
Filip HronekFlyersD271997-11-02No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm4,000,000$4,000,000$2,291,892$No------------------Lien
Gabriel VilardiFlyersLW/RW251999-08-16No215 Lbs6 ft3NoNoTrade2024-04-29NoNo2Pro & Farm900,000$900,000$515,676$No900,000$--------No--------Lien
Jaden SchwartzFlyersLW/RW321992-06-25No190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm7,000,000$7,000,000$4,010,811$No------------------Lien
Jesper BoqvistFlyersC261998-10-30No180 Lbs6 ft0NoNoN/ANoYes1Pro & Farm900,000$900,000$515,676$No------------------Lien
Josh BrownFlyersD301994-01-21No220 Lbs6 ft5NoNoTrade2024-03-28NoNo1Pro & Farm2,000,000$2,000,000$1,145,946$No------------------Lien
K'andre MillerFlyersD242000-01-21No210 Lbs6 ft5NoNoN/ANoNo1Pro & Farm900,000$900,000$515,676$No------------------Lien
Louis DomingueFlyersG321992-03-06No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm2,750,000$2,750,000$1,575,676$No------------------Lien
Max ComtoisFlyersLW/RW251999-01-08No215 Lbs6 ft2NoNoN/ANoNo22024-05-29Pro & Farm3,000,000$3,000,000$1,718,919$No3,000,000$--------No--------Lien
Mike ReillyFlyersD311993-07-13No196 Lbs6 ft1YesNoFree AgentNoNo12024-08-18Pro & Farm900,000$900,000$515,676$No------------------Lien
Nail YakupovFlyersLW/RW311993-10-06No186 Lbs5 ft11NoNoN/ANoNo1Pro & Farm5,500,000$5,500,000$3,151,351$No------------------Lien
Nazem KadriFlyersC341990-10-06No188 Lbs6 ft0NoNoN/ANoNo1Pro & Farm6,000,000$6,000,000$3,437,838$No------------------Lien
Nic DowdFlyersLW/RW341990-05-27No193 Lbs6 ft1YesNoN/ANoNo1Pro & Farm900,000$900,000$515,676$No------------------Lien
Paul StastnyFlyersC381985-12-27No201 Lbs6 ft0NoNoN/ANoNo32024-03-24Pro Only8,500,000$8,500,000$4,870,270$No8,500,000$8,500,000$-------NoNo-------Lien
Pavel BuchnevichFlyersLW/RW291995-04-17No196 Lbs6 ft3NoNoN/ANoNo3Pro & Farm6,500,000$6,500,000$3,724,324$No6,500,000$6,500,000$-------NoNo-------Lien
Quinn HughesFlyersD251999-10-14No170 Lbs5 ft10NoNoN/ANoNo52024-05-29Pro & Farm7,500,000$7,500,000$4,297,297$No7,500,000$7,500,000$7,500,000$7,500,000$-----NoNoNoNo-----Lien
Trevor ZegrasFlyersC232001-03-20No173 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$900,000$515,676$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.10193 Lbs6 ft11.603,685,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,700,000$35,550,000$22,500,000$7,500,000$7,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel VilardiTrevor ZegrasNail Yakupov33023
2Brad MarchandPaul StastnyJaden Schwartz32023
3Max ComtoisNazem KadriPavel Buchnevich30122
4Alexey ToropchenkoJesper BoqvistNic Dowd5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesJosh Brown34014
2Mike ReillyK'andre Miller33014
3Filip HronekAnthony DeAngelo33032
4Filip HronekQuinn Hughes0014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nail YakupovNazem KadriGabriel Vilardi50014
2Pavel BuchnevichMax ComtoisBrad Marchand50023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesJaden Schwartz50014
2Filip HronekK'andre Miller50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Paul StastnyPavel Buchnevich50131
2Jaden SchwartzAlexey Toropchenko50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh BrownFilip Hronek50131
2K'andre MillerMike Reilly50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nail Yakupov50122Quinn HughesFilip Hronek50122
2Jaden Schwartz50122Josh BrownK'andre Miller50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jaden SchwartzNail Yakupov50023
2Paul StastnyBrad Marchand50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh BrownK'andre Miller50122
2Filip HronekQuinn Hughes50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandAlexey ToropchenkoJaden SchwartzAnthony DeAngeloQuinn Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaden SchwartzAlexey ToropchenkoNail YakupovQuinn HughesK'andre Miller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Zegras, Brad Marchand, Jaden SchwartzTrevor Zegras, Nail YakupovJaden Schwartz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Quinn Hughes, Filip Hronek, K'andre MillerAnthony DeAngeloFilip Hronek, K'andre Miller
Tirs de pénalité
Trevor Zegras, Nail Yakupov, Jaden Schwartz, Pavel Buchnevich, Brad Marchand
Gardien
#1 : Filip Gustavsson, #2 : Louis Domingue


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
1Avalanches11000000312110000003120000000000021.0003580020102311570198012300.00%000%0554113049.03%619122250.65%25352847.92%2518217136
2BlackHawks1010000046-21010000046-20000000000000.000481210121034117160286411300.00%20100.00%0554113049.03%619122250.65%25352847.92%2517217126
3BlueJacket11000000422110000004220000000000021.0004610002020226970342123143133.33%90100.00%2554113049.03%619122250.65%25352847.92%1910278136
4Bruins11000000532000000000001100000053221.000510150030202914780321012175240.00%6266.67%1554113049.03%619122250.65%25352847.92%2618207126
5Canadiens302000101013-31010000045-12010001068-220.3331018280023417624292151103328519333.33%14471.43%0554113049.03%619122250.65%25352847.92%664479223818
6Capitals1010000045-11010000045-10000000000000.000471100301035615140328617300.00%30100.00%0554113049.03%619122250.65%25352847.92%2014277115
7Devils210001004311000010023-11100000020230.7504711011120802824262431110342214.55%50100.00%0554113049.03%619122250.65%25352847.92%513645162512
8Ducks10001000211000000000001000100021121.000246000011241058125212162150.00%50100.00%0554113049.03%619122250.65%25352847.92%2416238125
9Flames11000000624000000000001100000062421.00061117004200281288027121121200.00%20100.00%1554113049.03%619122250.65%25352847.92%2517236116
10Jets1010000012-11010000012-10000000000000.000123000100251366042111016300.00%5180.00%0554113049.03%619122250.65%25352847.92%2012267126
11MapleLeafs2110000068-22110000068-20000000000020.5006121800132056172019081203037300.00%7271.43%0554113049.03%619122250.65%25352847.92%392655152411
12Oilers2010100057-2100010005411010000003-320.5005914002111471816121511918188112.50%9455.56%0554113049.03%619122250.65%25352847.92%463146162713
13Panthers2010000157-2000000000002010000157-210.2505914001311421115139842110344125.00%50100.00%1554113049.03%619122250.65%25352847.92%473351152512
14Penguins20200000312-91010000026-41010000016-500.000369000210431413160641634349111.11%12375.00%0554113049.03%619122250.65%25352847.92%463249142311
15Predators10001000321100010003210000000000021.000358002001308145328124184125.00%20100.00%0554113049.03%619122250.65%25352847.92%2820236126
16Rangers210000011082110000005231000000156-130.7501019290043318325203296619243411436.36%11281.82%0554113049.03%619122250.65%25352847.92%513749142412
17RedWings2010001068-22010001068-20000000000020.500610160030214624148383231425400.00%7185.71%0554113049.03%619122250.65%25352847.92%443054142612
18Sabres30300000311-81010000015-42020000026-400.00035800201081292428084202944800.00%10280.00%0554113049.03%619122250.65%25352847.92%704972233718
19Senators30200001413-91000000123-120200000210-810.1674812000311732522209972036549111.11%13376.92%0554113049.03%619122250.65%25352847.92%714774213919
20Sharks22000000752110000003211100000043141.00071219001420611924180581114326233.33%7271.43%0554113049.03%619122250.65%25352847.92%503545132412
Total349160312395119-241858021115564-91648010124055-15320.471951732681134282889383252972924210883033295391211915.70%1342680.60%5554113049.03%619122250.65%25352847.92%804551841256427210
_Since Last GM Reset349160312395119-241858021115564-91648010124055-15320.471951732681134282889383252972924210883033295391211915.70%1342680.60%5554113049.03%619122250.65%25352847.92%804551841256427210
_Vs Conference24513001236493-291236001113647-111227000122846-18180.3756411718101221822566622321221237810222256395901415.56%1021981.37%4554113049.03%619122250.65%25352847.92%557380609183301146
_Vs Division833001012530-5522001001718-131100001812-480.500254570011069126379819511239759713348714.58%40587.50%2554113049.03%619122250.65%25352847.92%190130199629747

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3432L295173268938108830332953911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34916312395119
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
185821115564
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
164810124055
Derniers 10 matchs
WLOTWOTL SOWSOL
243010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1211915.70%1342680.60%5
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
325297292423428288
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
554113049.03%619122250.65%25352847.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
804551841256427210


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 - 2024-09-033Sabres5Flyers1BLSommaire du match
5 - 2024-09-0730Flyers4Sharks3AWSommaire du match
7 - 2024-09-0946Rangers2Flyers5BWSommaire du match
9 - 2024-09-1160Flyers5Rangers6ALXXSommaire du match
11 - 2024-09-1377Canadiens5Flyers4BLSommaire du match
13 - 2024-09-1597Devils3Flyers2BLXSommaire du match
15 - 2024-09-17113Flyers2Devils0AWSommaire du match
18 - 2024-09-20131RedWings5Flyers2BLSommaire du match
20 - 2024-09-22150Flyers2Panthers3ALXXSommaire du match
23 - 2024-09-25164BlueJacket2Flyers4BWSommaire du match
27 - 2024-09-29195MapleLeafs3Flyers4BWSommaire du match
31 - 2024-10-03222Flyers0Senators6ALSommaire du match
32 - 2024-10-04228Capitals5Flyers4BLSommaire du match
36 - 2024-10-08255Flyers1Sabres4ALSommaire du match
38 - 2024-10-10264Senators3Flyers2BLXXSommaire du match
41 - 2024-10-13285Flyers1Canadiens4ALSommaire du match
42 - 2024-10-14294Avalanches1Flyers3BWSommaire du match
45 - 2024-10-17316Flyers1Penguins6ALSommaire du match
46 - 2024-10-18326Jets2Flyers1BLSommaire du match
49 - 2024-10-21349Flyers2Senators4ALSommaire du match
50 - 2024-10-22358RedWings3Flyers4BWXXSommaire du match
53 - 2024-10-25384Flyers1Sabres2ALSommaire du match
54 - 2024-10-26389MapleLeafs5Flyers2BLSommaire du match
57 - 2024-10-29411Flyers6Flames2AWSommaire du match
58 - 2024-10-30421Oilers4Flyers5BWXSommaire du match
62 - 2024-11-03450BlackHawks6Flyers4BLSommaire du match
64 - 2024-11-05463Flyers0Oilers3ALSommaire du match
66 - 2024-11-07476Flyers2Ducks1AWXSommaire du match
68 - 2024-11-09488Sharks2Flyers3BWSommaire du match
70 - 2024-11-11510Flyers5Canadiens4AWXXSommaire du match
71 - 2024-11-12518Predators2Flyers3BWXSommaire du match
73 - 2024-11-14535Flyers5Bruins3AWSommaire du match
76 - 2024-11-17550Penguins6Flyers2BLSommaire du match
78 - 2024-11-19564Flyers3Panthers4ALSommaire du match
80 - 2024-11-21582Panthers-Flyers-
84 - 2024-11-25603Flyers-Capitals-
85 - 2024-11-26613Penguins-Flyers-
88 - 2024-11-29631Flyers-Capitals-
90 - 2024-12-01646Flyers-Hockey club-
91 - 2024-12-02653Senators-Flyers-
94 - 2024-12-05676Islanders-Flyers-
96 - 2024-12-07689Flyers-Stars-
98 - 2024-12-09701Flyers-Rangers-
99 - 2024-12-10715Islanders-Flyers-
102 - 2024-12-13732Flyers-RedWings-
104 - 2024-12-15747Bruins-Flyers-
106 - 2024-12-17765Flyers-RedWings-
107 - 2024-12-18777Bruins-Flyers-
110 - 2024-12-21792Flyers-MapleLeafs-
112 - 2024-12-23808Kraken-Flyers-
114 - 2024-12-25822Flyers-Canucks-
116 - 2024-12-27840Rangers-Flyers-
118 - 2024-12-29852Flyers-Wild-
120 - 2024-12-31871Flyers-Kings-
122 - 2025-01-02880Blues-Flyers-
126 - 2025-01-06904Flyers-Hurricanes-
127 - 2025-01-07912Blues-Flyers-
129 - 2025-01-09928Flyers-Bruins-
132 - 2025-01-12942Devils-Flyers-
134 - 2025-01-14965Kraken-Flyers-
135 - 2025-01-15970Flyers-Sharks-
139 - 2025-01-19999Flyers-Sharks-
140 - 2025-01-201010Sabres-Flyers-
143 - 2025-01-231031Panthers-Flyers-
148 - 2025-01-281064Capitals-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2025-01-311086Flyers-Islanders-
152 - 2025-02-011095Lightning-Flyers-
155 - 2025-02-041116Flyers-Devils-
157 - 2025-02-061129Canadiens-Flyers-
160 - 2025-02-091147Flyers-MapleLeafs-
161 - 2025-02-101157Flyers-Hurricanes-
162 - 2025-02-111162Lightning-Flyers-
166 - 2025-02-151191BlueJacket-Flyers-
167 - 2025-02-161198Flyers-Lightning-
170 - 2025-02-191220Flyers-Penguins-
171 - 2025-02-201226Flyers-Lightning-
172 - 2025-02-211234Hurricanes-Flyers-
176 - 2025-02-251257Hurricanes-Flyers-
177 - 2025-02-261263Flyers-BlueJacket-
179 - 2025-02-281276Flyers-Islanders-
183 - 2025-03-041301Flyers-BlueJacket-
184 - 2025-03-051304GoldenKnights-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80005000200040001000
Prix des billets88553318185
Assistance132,50189,40136,00071,81813,786
Attendance PCT92.01%99.33%100.00%99.75%76.59%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 19084 - 95.42% 1,728,662$31,115,920$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
31,954,864$ 73,700,000$ 73,100,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
73,700,000$ 31,741,333$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
39,759,231$ 106 401,081$ 42,514,586$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
43,955,656$ 27,699,947$ 25,830,208$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,700,000$ 4,300,000$ 78,000,000$ 73,700,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brad MarchandAGE:36PO:31OV:77
Jaden SchwartzAGE:32PO:49OV:76
Pavel BuchnevichAGE:29PO:57OV:73
Nail YakupovAGE:31PO:52OV:73
Gabriel VilardiAGE:25PO:68OV:69
Max ComtoisAGE:25PO:66OV:68
Nic DowdAGE:34PO:40OV:68
Brendan PerliniAGE:28PO:59OV:67
Alexey ToropchenkoAGE:25PO:68OV:65
Mitchell Chaffee (R)AGE:26PO:60OV:65
Zachary SenyshynAGE:27PO:60OV:64
Kiefer SherwoodAGE:29PO:56OV:64
Ivan ChekhovichAGE:25PO:60OV:63
Marek TvrdonAGE:31PO:50OV:62
Kirill SlepetsAGE:25PO:60OV:61
Erik Karlsson (foward)AGE:30PO:56OV:61
Jakub IzackyAGE:30PO:49OV:59
Joel MustonenAGE:32PO:48OV:59
Peter ReginAGE:38PO:21OV:58
Paul StastnyAGE:38PO:20OV:79
Nazem KadriAGE:34PO:42OV:75
Trevor ZegrasAGE:23PO:70OV:70
Marc McLaughlinAGE:25PO:68OV:67
Jesper BoqvistAGE:26PO:66OV:66
Zachary SenyshynAGE:27PO:60OV:64
Pascal LabergeAGE:26PO:60OV:63
Filip ChlapikAGE:27PO:60OV:63
Justin KeaAGE:30PO:45OV:61
Brad MarchandAGE:36PO:31OV:77
Jaden SchwartzAGE:32PO:49OV:76
Pavel BuchnevichAGE:29PO:57OV:73
Nail YakupovAGE:31PO:52OV:73
Gabriel VilardiAGE:25PO:68OV:69
Max ComtoisAGE:25PO:66OV:68
Nic DowdAGE:34PO:40OV:68
Brendan PerliniAGE:28PO:59OV:67
Alexey ToropchenkoAGE:25PO:68OV:65
Zachary SenyshynAGE:27PO:60OV:64
Kiefer SherwoodAGE:29PO:56OV:64
Ivan ChekhovichAGE:25PO:60OV:63
Marek TvrdonAGE:31PO:50OV:62
Kirill SlepetsAGE:25PO:60OV:61
Erik Karlsson (foward)AGE:30PO:56OV:61
Jakub IzackyAGE:30PO:49OV:59
Joel MustonenAGE:32PO:48OV:59
Peter ReginAGE:38PO:21OV:58

Défense #1Défense #2Gardien
Quinn HughesAGE:25PO:70OV:75
Anthony DeAngeloAGE:29PO:59OV:73
K'andre MillerAGE:24PO:69OV:72
Filip HronekAGE:27PO:64OV:72
Josh BrownAGE:30PO:53OV:68
Mike ReillyAGE:31PO:53OV:68
Jakub ZborilAGE:27PO:63OV:67
Jordan SchmaltzAGE:31PO:49OV:67
Rob O'GaraAGE:31PO:49OV:65
Maxwell GildonAGE:25PO:60OV:63
Kale ClagueAGE:26PO:60OV:63
Tomas KundratekAGE:34PO:38OV:62
Filip WesterlundAGE:25PO:60OV:61
Brycen MartinAGE:28PO:57OV:61
Ben ThomasAGE:28PO:57OV:60
Ryan RehillAGE:29PO:53OV:58
Filip GustavssonAGE:26PO:60OV:71
Louis DomingueAGE:32PO:49OV:69
Marek LanghamerAGE:30PO:53OV:63
Martin JonesAGE:34PO:36OV:63
Criss de jambon (R)AGE:35PO:50OV:43

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
Arvid BergstromFlyers151420Lien
Aydar SunievFlyers15810Lien
Beckett HendricksonFlyers151390Lien
Carson WetschFlyers1680
Danila YurovFlyers1410
Emil JarventieFlyers151070Lien
Ivan ZhigalovFlyers1463
Jake WiseFlyers938
Karl HenrikssonFlyers1075
Kristian EppersonFlyers16112
Macklin CelebriniFlyers161
Maxim StrbakFlyers15530Lien
Maxmilian CurranFlyers16144
Ruslan IskhakovFlyers997
Stian SolbergFlyers1648
Tanner MolendykFlyers15490Lien
Tomas MrsicFlyers16117
Tristan LennoxFlyers1384

Choix au repêchage

Année R1R2R3R4R5
17
18
19
20
21
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Flyers Historique de transactions

[2024-09-23 12:52:07] - Criss de jambon signed with Flyers for $1,000,000 for 1 year(s).
[2024-09-23 12:52:07] - Criss de jambon was added to Flyers.
[2024-09-06 14:44:00] - TRADE : From Kraken to Flyers : Tomas Kundratek (62).
[2024-09-06 14:44:00] - TRADE : From Flyers to Kraken : Robert Bortuzzo (67), Y:17-RND:5-Phi.
[2024-08-20 11:28:35] - Martin Jones signed with Flyers for $1,000,000 for 1 year(s).
[2024-08-20 11:28:35] - Martin Jones was added to Flyers.
[2024-08-18 21:27:32] - Mike Reilly signed with Flyers for $900,000 for 1 year(s) / Option : No Trade.
[2024-08-18 21:27:32] - Mike Reilly was added to Flyers.
[2024-07-02 16:14:00] - Robert Bortuzzo signed with Flyers for $2,000,000 for 2 year(s).
[2024-07-02 16:14:00] - Robert Bortuzzo was added to Flyers.
[2024-06-20 09:52:20] - TRADE : From Flyers to BlueJacket : Sam Malinski (66).
[2024-06-20 09:51:06] - Mitchell Chaffee signed with Flyers for $900,000 for 1 year(s).
[2024-06-20 09:51:06] - Mitchell Chaffee was added to Flyers.
[2024-06-20 09:50:48] - Sam Malinski signed with Flyers for $900,000 for 1 year(s).
[2024-06-20 09:50:48] - Sam Malinski was added to Flyers.



[2024-11-20 17:59:26] Erik Karlsson (foward) from Phantoms is back from Bruised Right Foot Injury.
[2024-11-20 17:59:26] Jordan Schmaltz from Phantoms is back from Torn Right MCL Injury.
[2024-11-20 17:59:24] Marek Tvrdon from Phantoms is injured from Exhaustion.
[2024-11-20 17:59:24] Mitchell Chaffee from Phantoms is injured from Exhaustion.
[2024-11-20 17:59:24] Game 559 - Brycen Martin from Phantoms is injured (Upper Body) and is out for 2 weeks.
[2024-11-19 18:50:19] Successfully loaded Flyers lines done with STHS Client - 3.3.9.9
[2024-11-18 20:35:41] Auto Lines Partial Function has been run for Phantoms.
[2024-11-18 20:35:41] Auto Roster Farm Only Function has been run for Flyers.
[2024-11-18 20:35:41] Phantoms roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-11-17 19:36:47] Brendan Perlini from Phantoms is back from Exhaustion.
[2024-11-17 19:35:32] Auto Lines Partial Function has been run for Flyers.
[2024-11-17 19:35:32] Flyers lines errors : Normal line # 2 C is empty. PK line 1 C is empty. PP line 2 Defense #2 is empty. 4 vs 4 line 2 C is empty. Extra Forward #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #4 is empty.
[2024-11-15 21:23:42] Kirill Slepets from Phantoms is back from Sprained Right Knee Injury.
[2024-11-15 21:23:41] Brendan Perlini from Phantoms is injured from Exhaustion.
[2024-11-15 21:23:41] Game 525 - Kirill Slepets from Phantoms is injured (Sprained Right Knee) and is out for 2 days.
[2024-11-15 21:20:39] Auto Lines Partial Function has been run for Phantoms.
[2024-11-15 21:20:39] Phantoms (Flyers) lines errors : Normal line # 3 RW is empty. Starting Goalie is empty.
[2024-11-14 20:13:42] Pro Game #535 - Jaden Schwartz from Flyers has scored a Hat Trick!
[2024-11-14 20:05:52] Auto Lines Partial Function has been run for Flyers.
[2024-11-14 20:05:52] Auto Roster Partial Function has been run for Flyers.
[2024-11-14 20:05:52] Flyers roster errors : Not enough Centers available in Pro Team! 3 Dressed. 4 Required. Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-11-13 12:23:02] Paul Stastny from Flyers is back from Exhaustion.
[2024-11-13 12:22:55] Auto Lines Partial Function has been run for Phantoms.
[2024-11-13 12:22:55] Phantoms (Flyers) lines errors : Normal line # 3 RW is empty. Starting Goalie is empty.
[2024-11-12 19:54:54] Paul Stastny from Flyers is injured from Exhaustion.
[2024-11-12 19:54:08] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:108.171.88.176 .
[2024-11-12 19:53:50] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:108.171.88.176 .
[2024-11-11 09:56:20] Game 492 - Erik Karlsson (foward) from Phantoms is injured (Bruised Right Foot) and is out for 2 weeks.
[2024-11-11 09:56:13] Auto Lines Partial Function has been run for Phantoms.
[2024-11-11 09:56:13] Phantoms (Flyers) lines errors : Starting Goalie is empty.
[2024-11-11 09:56:13] Auto Roster Partial Function has been run for Flyers.
[2024-11-11 09:56:13] Phantoms roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2024-11-09 16:33:09] Martin Jones from Phantoms is back from Exhaustion.



Mitchell Chaffee est dehors pour 2 jours à cause de Exhaustion.
Brycen Martin est dehors pour 1 semaine à cause de Upper Body Injury.
Kale Clague est dehors pour 3 semaines à cause de Back Spasms Injury.
Marek Tvrdon est dehors pour 2 jours à cause de Exhaustion.



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
1Brad Marchand116445094-497228854479.84%16214918.5311162711510149444.68%10.87413
2Jaden Schwartz119394887-1260531263959.87%61228219.181215279921353344.58%20.7634
3Paul Stastny111374784-175214420731811.64%29210118.93913228002234354.55%00.8037
4Nail Yakupov11639458419669333811.54%19206617.811312258110113341.18%10.81517
5Quinn Hughes116146882-1471901171817.73%109236220.36625311140110220%00.6900

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
1Ben Bishop56262040.8823.31293412216213730420.76926
2Louis Domingue73262370.9082.9633696316617970120.61834
3Filip Gustavsson247720.8893.27113720625570010.6676
4Dan Blackburn10000.9462.61460023700000

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
Saison régulière
1582323301475253267-1441171800231125133-841151501244128134-6892534477004398796816258184182888369246872775613103166420.25%2946179.25%31525299450.94%1470290950.53%691128853.65%1989137819506091049526
16349160312395119-241858021115564-91648010124055-1532951732681134282889383252972924210883033295391211915.70%1342680.60%5554113049.03%619122250.65%25352847.92%804551841256427210
Total Saison régulière116414904598348386-3859222602342180197-1757192302256168189-21121348620968541321079624351911661125117511135561030108518494378318.99%4288779.67%82079412450.41%2089413150.57%944181651.98%2794192927928651477737
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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

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