Connexion

New York GoldenBlades
GP: 10 | W: 5 | L: 5 | OTL: 0 | P: 10
GF: 22 | GA: 16 | PP%: 14.29% | PK%: 91.18%
DG: Martin Forget | Morale : 40 | Moyenne d’équipe : 74
Prochains matchs #156 vs Phoenix Roadrunners
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
New York GoldenBlades
5-5-0, 10pts
0
FINAL
2 Michigan Stags
7-2-0, 14pts
Team Stats
L2SéquenceL1
2-2-0Fiche domicile4-1-0
3-3-0Fiche visiteur3-1-0
5-5-0Derniers 10 matchs7-2-0
2.20Buts par match 3.22
1.60Buts contre par match 1.89
14.29%Pourcentage en avantage numérique12.50%
91.18%Pourcentage en désavantage numérique92.86%
New York GoldenBlades
5-5-0, 10pts
1
FINAL
3 Toronto Toros
8-0-1, 17pts
Team Stats
L2SéquenceW1
2-2-0Fiche domicile4-0-1
3-3-0Fiche visiteur4-0-0
5-5-0Derniers 10 matchs8-0-1
2.20Buts par match 4.56
1.60Buts contre par match 2.00
14.29%Pourcentage en avantage numérique18.18%
91.18%Pourcentage en désavantage numérique85.71%
Phoenix Roadrunners
7-2-0, 14pts
Jour 13
New York GoldenBlades
5-5-0, 10pts
Statistiques d’équipe
W1SéquenceL2
5-0-0Fiche domicile2-2-0
2-2-0Fiche visiteur3-3-0
7-2-010 derniers matchs5-5-0
2.78Buts par match 2.20
1.56Buts contre par match 2.20
13.33%Pourcentage en avantage numérique14.29%
92.86%Pourcentage en désavantage numérique91.18%
Toronto Toros
8-0-1, 17pts
Jour 15
New York GoldenBlades
5-5-0, 10pts
Statistiques d’équipe
W1SéquenceL2
4-0-1Fiche domicile2-2-0
4-0-0Fiche visiteur3-3-0
8-0-110 derniers matchs5-5-0
4.56Buts par match 2.20
2.00Buts contre par match 2.20
18.18%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique91.18%
New York GoldenBlades
5-5-0, 10pts
Jour 17
Detroit Gladiators
6-1-1, 13pts
Statistiques d’équipe
L2SéquenceW2
2-2-0Fiche domicile4-1-0
3-3-0Fiche visiteur2-0-1
5-5-010 derniers matchs6-1-1
2.20Buts par match 3.25
1.60Buts contre par match 3.25
14.29%Pourcentage en avantage numérique16.67%
91.18%Pourcentage en désavantage numérique96.77%
Meneurs d'équipe
Buts
Warren Foegele
6
Passes
Thomas Novak
7
Points
Thomas Novak
11
Plus/Moins
Sean Durzi
5
Victoires
Jordan Binnington
5
Pourcentage d’arrêts
Jordan Binnington
0.948

Statistiques d’équipe
Buts pour
22
2.20 GFG
Tirs pour
253
25.30 Avg
Pourcentage en avantage numérique
14.3%
4 GF
Début de zone offensive
36.8%
Buts contre
16
1.60 GAA
Tirs contre
292
29.20 Avg
Pourcentage en désavantage numérique
91.2%%
3 GA
Début de la zone défensive
42.5%
Informations de l'équipe

Directeur généralMartin Forget
DivisionMarc Tardif
ConférenceDAVIDSON
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomNassau Veterans Memorial Coliseum
Capacité22,000
Assistance18,210
Billets de saison8,800


Informations de la formation

Équipe Pro22
Équipe Mineure12
Limite contact 34 / 250
Espoirs44


Plafond salarial Non Activé

Cap Salarial de la Saison estimé45,597,500$
Plafond salarial disponible37,902,500$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour6,984,788$
Dépenses annuelles à ce jour5,019,912$
Revenus de la saison estimés64,609,289$
Dépenses de la saison estimées40,577,622$
Compte bancaire actuel84,022,719$
Compte bancaire projeté108,054,386$


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
1Alex DeBrincatX96.006365868252839085538277625873850408002758,250,000$
2William EklundX100.00585387826184888056757174766076040770221925,000$
3Warren FoegeleX100.006765837774799074566874715074750407602832,100,000$
4Thomas NovakX100.00515190776779787665777461506578040760274750,000$
5David KampfX100.006752907372788663835965855075680407402931,400,000$
6Brett HowdenX100.00695884737378796364606677507067040720261850,000$
7Cody GlassX100.006252857377785178626265605067680407102522,500,000$
8Max ComtoisX100.005090557375793085506660535069950407102521,525,000$
9Lukas ReichelX100.00575190776279717258616062656065040690221925,000$
10Michael RafflX100.007752907171605555545053704486640406703611,600,000$
11Tomas NosekX100.0059519067777250557359566648826304366N03251,000,000$
12Sean DurziX100.005966788266888385408371805064820408102611,400,000$
13Torey KrugX100.006253868257878585408459765091840408003324,000,000$
14Dmitry OrlovX100.007158867767829070407366715091760407703343,300,000$
15John MarinoX100.005864848267868263407564855069750407702731,750,000$
16Ryan LindgrenX100.007254857766848363406861855070700407702612,000,000$
17Ryker Evans (R)X100.00715280676279486140675564375763040690232925,000$
18Kevin GravelX100.00625090738060555535505068458161040670324750,000$
19Patrik Koch (R)X100.0088555563687430553850505530625604364N0285847,500$
Rayé
1Andrew PeekeX100.00845187737981506040705780506870040770261750,000$
Équipe Mineure
1Adam Edstrom (R)X100.00775085679573305535506152365858040640242855,000$
2Jayson MegnaX100.00455255616671308553565450428895040640344750,000$
3Kurtis GabrielX100.00795090738760555530505050307750040620311700,000$
4Steven FogartyX100.00605090737760555536505050307655040610311700,000$
5Marc Johnstone (R)X100.0069509063637230553950505630625604061N0285775,000$
6Dominik SimonX100.00545382736260555541545051437655040600302700,000$
7Andrei ChibisovX100.00444555738460555530505050305463040590311792,500$
8Kalle KossilaX100.00444555735860555530505050305463040570311700,000$
9Mason GeertsenX100.00739055738460555530505050306350040630293750,000$
10Frank CorradoX100.00444555736860555530505050305463040590311700,000$
11Artemi KniazevX100.00505090736060555530505050305747040590234775,000$
MOYENNE D’ÉQUIPE99.8065578375697969695167637050727204073
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
1Jordan Binnington100.00809592738382858184858379890408403114,550,000$
2Marc-Andre Fleury100.00788091767086727676757599860407904033,500,000$
Rayé
Équipe Mineure
1Andrew Hammond100.0066306582555550555052507452040570363750,000$
MOYENNE D’ÉQUIPE100.007988927577847979808079898804082
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Thomas NovakNew York GoldenBladesC10471140061231102612.90%319919.931234250111290143.18%132133001.1000000020
2Warren FoegeleNew York GoldenBladesRW106410440151227101422.22%520120.141234251011272030.00%10109010.9900000101
3Sean DurziNew York GoldenBladesD104595181091022151218.18%1221621.61101728000032000%02116010.8300110101
4Alex DeBrincatNew York GoldenBladesRW1033621551352072115.00%322422.491015230000271237.84%37233000.5300010021
5William EklundNew York GoldenBladesC10235140614326146.25%219019.020119240000321030.53%13193100.5300000100
6Max ComtoisNew York GoldenBladesLW100442302089125120%015815.84011024000000044.44%942000.5000013000
7Torey KrugNew York GoldenBladesD100224207105570%1322122.10011228000135000%0112000.1800000000
8John MarinoNew York GoldenBladesD101123161032519295.26%1518218.21000722000225100%0216000.2200020000
9Tomas NosekNew York GoldenBladesLW10011000370250%0666.640000000001000%101000.3000000000
10Dmitry OrlovNew York GoldenBladesD10011300101314450%918718.78011222000127000%068000.1100000000
11David KampfNew York GoldenBladesC10101000131617385.88%915815.8200002000000056.82%88119000.1300000001
12Brett HowdenNew York GoldenBladesLW101010201410101310.00%614814.80000324000000025.00%804000.1411000000
13Michael RafflNew York GoldenBladesLW10011020893010%514514.5700000000000066.67%600000.1400000000
14Lukas ReichelNew York GoldenBladesRW1001102095161070%115915.9600000000070066.67%6160000.1300000000
15Ryan LindgrenNew York GoldenBladesD10011-3004119300%413613.630000000007000%029000.1500000000
16Andrew PeekeNew York GoldenBladesD4000020322010%34611.710000000000000%00000000000000
17Cody GlassNew York GoldenBladesC10000-1009411550%0777.7800001000010028.13%327000000000000
18Kevin GravelNew York GoldenBladesD10000020542110%2636.390000000000000%01100000000000
19Ryker EvansNew York GoldenBladesD10000020341100%4626.240000000000000%01200000000000
20Patrik KochNew York GoldenBladesD10000-3120620010%6909.030000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1942234562111345154184253901528.70%102293615.1448124325411262565340.65%46012799120.3811153344
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
1Jordan BinningtonNew York GoldenBlades105500.9481.5159800152911641100100222
Statistiques d’équipe totales ou en moyenne105500.9481.515980015291164110100222


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 Salaire restantPlafond 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
Alex DeBrincatNew York GoldenBladesRW271997-12-18No180 Lbs5 ft8NoNoN/ANoNo52024-08-29Pro & Farm8,250,000$7,341,743$8,250,000$7,341,743$No8,250,000$8,250,000$8,250,000$8,250,000$-----NoNoNoNo-----
Andrew PeekeNew York GoldenBladesD261998-03-17No214 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$667,431$750,000$667,431$No------------------
Brett HowdenNew York GoldenBladesLW261998-03-29No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,000$756,422$850,000$756,422$No------------------
Cody GlassNew York GoldenBladesC251999-04-01No206 Lbs6 ft3NoNoTrade2024-03-04NoNo22024-08-29Pro & Farm2,500,000$2,224,771$2,500,000$2,224,771$No2,500,000$--------No--------
David KampfNew York GoldenBladesC291995-01-12No190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,400,000$1,245,872$1,400,000$1,245,872$No1,400,000$1,400,000$-------NoNo-------
Dmitry OrlovNew York GoldenBladesD331991-07-23No214 Lbs5 ft11NoNoN/ANoNo4Pro & Farm3,300,000$2,936,697$3,300,000$2,936,697$No3,300,000$3,300,000$3,300,000$------NoNoNo------
John MarinoNew York GoldenBladesD271997-05-21No181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,750,000$1,557,339$1,750,000$1,557,339$No1,750,000$1,750,000$-------NoNo-------
Jordan BinningtonNew York GoldenBladesG311993-07-11No172 Lbs6 ft2NoNoN/ANoNo1Pro & Farm4,550,000$4,049,083$4,550,000$4,049,083$No------------------
Kevin GravelNew York GoldenBladesD321992-03-06No205 Lbs6 ft4NoNoN/ANoNo4Pro & Farm750,000$667,431$750,000$667,431$No750,000$750,000$750,000$------NoNoNo------
Lukas ReichelNew York GoldenBladesRW222002-05-17No170 Lbs6 ft0NoNoTrade2024-03-04NoNo1Pro & Farm925,000$823,165$925,000$823,165$No------------------
Marc-Andre FleuryNew York GoldenBladesG401984-11-28No185 Lbs6 ft2NoNoN/ANoNo32024-08-29Pro & Farm3,500,000$3,114,679$3,500,000$3,114,679$No3,500,000$3,500,000$-------NoNo-------
Max ComtoisNew York GoldenBladesLW251999-01-08No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,525,000$1,357,110$1,525,000$1,357,110$No1,525,000$--------No--------
Michael RafflNew York GoldenBladesLW361988-12-01No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,600,000$1,423,853$1,600,000$1,423,853$No------------------
Patrik KochNew York GoldenBladesD281996-12-08Yes190 Lbs6 ft1YesNoAssign ManuallyNoNo52024-11-04Pro & Farm847,500$754,197$847,500$754,197$No847,500$847,500$847,500$847,500$-----YesYesYesYes-----
Ryan LindgrenNew York GoldenBladesD261998-02-11No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,000,000$1,779,817$2,000,000$1,779,817$No------------------
Ryker EvansNew York GoldenBladesD232001-12-13Yes189 Lbs5 ft11NoNoTrade (Prospect)NoNo22024-08-08Pro & Farm925,000$823,165$925,000$823,165$No925,000$--------No--------
Sean DurziNew York GoldenBladesD261998-10-21No195 Lbs6 ft0NoNoTrade2024-03-04NoNo1Pro & Farm1,400,000$1,245,872$1,400,000$1,245,872$No------------------
Thomas NovakNew York GoldenBladesC271997-04-28No179 Lbs6 ft1NoNoN/ANoNo4Pro & Farm750,000$667,431$750,000$667,431$No750,000$750,000$750,000$------NoNoNo------
Tomas NosekNew York GoldenBladesLW321992-09-01No205 Lbs6 ft3YesNoAssign ManuallyNoNo52024-11-04Pro & Farm1,000,000$889,908$1,000,000$889,908$No1,000,000$1,000,000$1,000,000$1,000,000$-----YesYesYesYes-----
Torey KrugNew York GoldenBladesD331991-04-12No194 Lbs5 ft9NoNoN/ANoNo2Pro & Farm4,000,000$3,559,633$4,000,000$3,559,633$No4,000,000$--------No--------
Warren FoegeleNew York GoldenBladesRW281996-04-01No204 Lbs6 ft2NoNoN/ANoNo3Pro & Farm2,100,000$1,868,807$2,100,000$1,868,807$No2,100,000$2,100,000$-------NoNo-------
William EklundNew York GoldenBladesC222002-10-12No181 Lbs5 ft11NoNoTrade2024-03-04NoNo1Pro & Farm925,000$823,165$925,000$823,165$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.36194 Lbs6 ft12.502,072,614$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
45,597,500$32,597,500$23,647,500$14,897,500$10,097,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HowdenWilliam EklundAlex DeBrincat34122
2Max ComtoisThomas NovakWarren Foegele30122
3Michael RafflDavid KampfLukas Reichel26122
4Tomas NosekCody GlassAlex DeBrincat10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DurziTorey Krug34122
2John MarinoDmitry Orlov30122
3Ryan LindgrenPatrik Koch26122
4Ryker EvansKevin Gravel10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HowdenWilliam EklundAlex DeBrincat51122
2Max ComtoisThomas NovakWarren Foegele49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DurziTorey Krug51122
2John MarinoDmitry Orlov49122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex DeBrincatWilliam Eklund51122
2Thomas NovakWarren Foegele49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DurziTorey Krug51122
2John MarinoDmitry Orlov49122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex DeBrincat51122Sean DurziTorey Krug51122
2William Eklund49122John MarinoDmitry Orlov49122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex DeBrincatWilliam Eklund51122
2Thomas NovakWarren Foegele49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DurziTorey Krug51122
2John MarinoDmitry Orlov49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett HowdenWilliam EklundAlex DeBrincatSean DurziTorey Krug
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett HowdenWilliam EklundAlex DeBrincatSean DurziTorey Krug
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Kampf, Cody Glass, Lukas ReichelDavid Kampf, Cody GlassLukas Reichel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrik Koch, Ryan Lindgren, Torey KrugPatrik KochRyan Lindgren, Sean Durzi
Tirs de pénalité
Alex DeBrincat, William Eklund, Thomas Novak, Warren Foegele, David Kampf
Gardien
#1 : Jordan Binnington, #2 : Marc-Andre Fleury
Lignes d’attaque personnalisées en prolongation
Alex DeBrincat, William Eklund, Thomas Novak, Warren Foegele, David Kampf, Brett Howden, Brett Howden, Max Comtois, Cody Glass, Lukas Reichel, Michael Raffl
Lignes de défense personnalisées en prolongation
Sean Durzi, Torey Krug, John Marino, Dmitry Orlov, Ryan Lindgren


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
1Baltimore Blades11000000514110000005140000000000021.000581300221026614603010121511100.00%10100.00%15616933.14%9119546.67%409542.11%2012237167
2Cleveland Crusaders1010000012-11010000012-10000000000000.0001120001002368902211617300.00%3166.67%05616933.14%9119546.67%409542.11%2315207157
3Manhattan Raiders10001000211000000000001000100021121.000246000011266613130817245120.00%10100.00%05616933.14%9119546.67%409542.11%1911258157
4Michigan Stags2020000014-31010000012-11010000002-200.0001231001004491322057222127500.00%80100.00%05616933.14%9119546.67%409542.11%392450162914
5Philly Blazers11000000615000000000001100000061521.00068140015002431740351412162150.00%60100.00%05616933.14%9119546.67%409542.11%1710288136
6Phoenix Roadrunners11000000312110000003120000000000021.00034700021029516802656185120.00%3166.67%05616933.14%9119546.67%409542.11%2214218158
7Quebec Nordiques11000000211000000000001100000021121.000235000200281011703871011200.00%5180.00%05616933.14%9119546.67%409542.11%1710268156
8Toronto Toros1010000013-2000000000001010000013-200.00012300010022499025132010300.00%50100.00%05616933.14%9119546.67%409542.11%1911258157
9Vancouver Grizzlies1010000012-1000000000001010000012-100.000123000100311651002912916200.00%20100.00%05616933.14%9119546.67%409542.11%2214217157
Total104501000221664220000010646230100012102100.5002234561031531253659988129210211315428414.29%34391.18%15616933.14%9119546.67%409542.11%2031262448115274
_Since Last GM Reset104501000221664220000010646230100012102100.5002234561031531253659988129210211315428414.29%34391.18%15616933.14%9119546.67%409542.11%2031262448115274
_Vs Conference104501000221664220000010646230100012102100.5002234561031531253659988129210211315428414.29%34391.18%15616933.14%9119546.67%409542.11%2031262448115274
_Vs Division7240100012120312000007524120100057-260.4291220321027211694161661202718610419210.53%23291.30%15616933.14%9119546.67%409542.11%140861725610751

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L222345625329210211315410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104510002216
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000106
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62310001210
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28414.29%34391.18%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
659988131531
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
5616933.14%9119546.67%409542.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2031262448115274


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
19New York GoldenBlades2Quebec Nordiques1AWSommaire du match
223Michigan Stags2New York GoldenBlades1BLSommaire du match
340Cleveland Crusaders2New York GoldenBlades1BLSommaire du match
458New York GoldenBlades6Philly Blazers1AWSommaire du match
675Phoenix Roadrunners1New York GoldenBlades3BWSommaire du match
893New York GoldenBlades1Vancouver Grizzlies2ALSommaire du match
9107New York GoldenBlades2Manhattan Raiders1AWXSommaire du match
10117Baltimore Blades1New York GoldenBlades5BWSommaire du match
11134New York GoldenBlades0Michigan Stags2ALSommaire du match
12141New York GoldenBlades1Toronto Toros3ALSommaire du match
13156Phoenix Roadrunners-New York GoldenBlades-
15179Toronto Toros-New York GoldenBlades-
17200New York GoldenBlades-Detroit Gladiators-
18207New York GoldenBlades-Cleveland Crusaders-
19221Baltimore Blades-New York GoldenBlades-
20240New York GoldenBlades-Manhattan Raiders-
21254Manhattan Raiders-New York GoldenBlades-
23269New York GoldenBlades-Dayton Firebirds-
24285Laval Chiefs-New York GoldenBlades-
25298New York GoldenBlades-Detroit Gladiators-
26314Cincinnati Stingers-New York GoldenBlades-
27332New York GoldenBlades-Phoenix Roadrunners-
28345New Jersey Knights-New York GoldenBlades-
30374Winnipeg Jets-New York GoldenBlades-
31390New York GoldenBlades-New Jersey Knights-
32402Detroit Gladiators-New York GoldenBlades-
33419New York GoldenBlades-Denver Spurs-
34432Houston Aeros-New York GoldenBlades-
35445New York GoldenBlades-Vancouver Grizzlies-
37469Minnesota FightingSaints-New York GoldenBlades-
38480New York GoldenBlades-Houston Aeros-
40501Cleveland Crusaders-New York GoldenBlades-
41510New York GoldenBlades-Alberta Oilers-
42531New York GoldenBlades-Manhattan Raiders-
43539Phoenix Roadrunners-New York GoldenBlades-
45563New York GoldenBlades-Quebec Nordiques-
46571Miami ScreamingEagles-New York GoldenBlades-
47585New York GoldenBlades-Minnesota FightingSaints-
48599Quebec Nordiques-New York GoldenBlades-
49613New York GoldenBlades-Minnesota FightingSaints-
51638Los Angeles Sharks-New York GoldenBlades-
52658New York GoldenBlades-Quebec Nordiques-
53670Quebec Nordiques-New York GoldenBlades-
55688Halifax Icebreakers-New York GoldenBlades-
56696New York GoldenBlades-Birmingham Bulls-
58719New York GoldenBlades-Baltimore Blades-
59733Indiana Racers-New York GoldenBlades-
60743New York GoldenBlades-Toronto Toros-
61762Orlando SolarBears-New York GoldenBlades-
62779Manhattan Raiders-New York GoldenBlades-
63784New York GoldenBlades-Los Angeles Sharks-
64810New York GoldenBlades-Philly Blazers-
65818New York GoldenBlades-Vancouver Grizzlies-
67832Toronto Toros-New York GoldenBlades-
69859Calgary Cowboys-New York GoldenBlades-
70870New York GoldenBlades-Ottawa Nationals-
71886San Diego Mariners-New York GoldenBlades-
73904New York GoldenBlades-Minnesota FightingSaints-
74921Minnesota FightingSaints-New York GoldenBlades-
75937New York GoldenBlades-New Jersey Knights-
76955Calgary Cowboys-New York GoldenBlades-
77970New York GoldenBlades-Toronto Toros-
78983New York GoldenBlades-Calgary Cowboys-
80992Vancouver Grizzlies-New York GoldenBlades-
811012New York GoldenBlades-Orlando SolarBears-
821024Philly Blazers-New York GoldenBlades-
841048Los Angeles Sharks-New York GoldenBlades-
851063New York GoldenBlades-Cleveland Crusaders-
861077New York GoldenBlades-Winnipeg Jets-
871090Orlando SolarBears-New York GoldenBlades-
881112Michigan Stags-New York GoldenBlades-
901136Chicago Cougars-New York GoldenBlades-
911140New York GoldenBlades-Cleveland Crusaders-
931171Philly Blazers-New York GoldenBlades-
951190New York GoldenBlades-Michigan Stags-
961201New York GoldenBlades-San Francisco Shamrocks-
971210Michigan Stags-New York GoldenBlades-
981226New York GoldenBlades-Baltimore Blades-
991239Dayton Firebirds-New York GoldenBlades-
1001248New York GoldenBlades-New England Whalers-
1031276Baltimore Blades-New York GoldenBlades-
1071299Dayton Firebirds-New York GoldenBlades-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité64005400340044002400
Prix des billets100755030175
Assistance20,37516,22012,73416,6716,840
Attendance PCT79.59%75.09%93.63%94.72%71.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 18210 - 82.77% 1,746,197$6,984,788$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
5,019,912$ 45,597,500$ 45,597,500$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
45,597,500$ 5,019,912$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
64,609,289$ 97 418,326$ 40,577,622$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
40,577,622$ 84,022,719$ 108,054,386$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
45,597,500$ 37,902,500$ 83,500,000$ 3,597,500$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brett HowdenAGE:26PO:0OV:72
Max ComtoisAGE:25PO:0OV:71
Michael RafflAGE:36PO:0OV:67
Tomas NosekAGE:32PO:0OV:66
Kurtis GabrielAGE:31PO:0OV:62
Andrei ChibisovAGE:31PO:0OV:59
William EklundAGE:22PO:0OV:77
Thomas NovakAGE:27PO:0OV:76
David KampfAGE:29PO:0OV:74
Cody GlassAGE:25PO:0OV:71
Adam Edstrom (R)AGE:24PO:0OV:64
Steven FogartyAGE:31PO:0OV:61
Dominik SimonAGE:30PO:0OV:60
Alex DeBrincatAGE:27PO:0OV:80
Warren FoegeleAGE:28PO:0OV:76
Lukas ReichelAGE:22PO:0OV:69
Jayson MegnaAGE:34PO:0OV:64
Marc Johnstone (R)AGE:28PO:0OV:61
Kalle KossilaAGE:31PO:0OV:57

Défense #1Défense #2Gardien
Sean DurziAGE:26PO:0OV:81
Torey KrugAGE:33PO:0OV:80
Andrew PeekeAGE:26PO:0OV:77
Dmitry OrlovAGE:33PO:0OV:77
John MarinoAGE:27PO:0OV:77
Ryan LindgrenAGE:26PO:0OV:77
Ryker Evans (R)AGE:23PO:0OV:69
Kevin GravelAGE:32PO:0OV:67
Patrik Koch (R)AGE:28PO:0OV:64
Mason GeertsenAGE:29PO:0OV:63
Frank CorradoAGE:31PO:0OV:59
Artemi KniazevAGE:23PO:0OV:59
Jordan BinningtonAGE:31PO:0OV:84
Marc-Andre FleuryAGE:40PO:0OV:79
Andrew HammondAGE:36PO:0OV:57

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
Adam JanosikNew York GoldenBlades00
Alex GreenNew York GoldenBlades2018121
Alexis BernierNew York GoldenBlades202473
Anton OlssonNew York GoldenBlades00
Arttu KarkiNew York GoldenBlades00
Axel LandenNew York GoldenBlades00
Carey TerranceNew York GoldenBlades00
Colton PointNew York GoldenBlades00
David ToewsNew York GoldenBlades00
Dmitri BuchelnikovNew York GoldenBlades00
Dylan MacKinnonNew York GoldenBlades00
Eerik WalleniusNew York GoldenBlades2024136
Ellis PetterssonNew York GoldenBlades00
Evan VierlingNew York GoldenBlades2020127
Filip BerglundNew York GoldenBlades00
Gabriel EliassonNew York GoldenBlades202439
Gannon LaroqueNew York GoldenBlades00
Gregor BiberNew York GoldenBlades202498
Ilya FedotovNew York GoldenBlades00
Jack HughesNew York GoldenBlades00
Jack MatierNew York GoldenBlades00
Jaden LipinskiNew York GoldenBlades00
Jared DavidsonNew York GoldenBlades00
Kasper KotkansaloNew York GoldenBlades00
Kenny ConnorsNew York GoldenBlades00
Kevin HeNew York GoldenBlades2024109
Kirill KirsakovNew York GoldenBlades00
Kody ClarkNew York GoldenBlades201847
Lucas EllinasNew York GoldenBlades2024104
Lucas FeukNew York GoldenBlades00
Luke MartinNew York GoldenBlades00
Malte SetkovNew York GoldenBlades00
Marcus KarlbergNew York GoldenBlades201880
Mason GeertsenNew York GoldenBlades00
Matthew CairnsNew York GoldenBlades00
Michael KrutilNew York GoldenBlades2020110
Mikhail AbramovNew York GoldenBlades00
Mitchell HeardNew York GoldenBlades00
Nate MisskeyNew York GoldenBlades2024143
Olof LindbomNew York GoldenBlades201839
Simon BourqueNew York GoldenBlades00
Thomas NovakNew York GoldenBlades00
Tyler WeissNew York GoldenBlades2018109COL
Ville PokkaNew York GoldenBlades00

Choix au repêchage

Année R1R2R3R4R5R6
2025DET NY NY NY NY
2026NY NY NY NY NY NY
2027NY NY NY NY NY NY
2028NY NY NY NY NY NY
2029NY NY NY NY NY NY
Choix au repêchage conditionnel



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


New York GoldenBlades Historique de transactions

[2024-11-04 08:12:02] - Patrik Koch was added to New York GoldenBlades.
[2024-11-04 08:08:38] - Tomas Nosek was added to New York GoldenBlades.
[2024-11-04 08:07:41] - Marc Johnstone was added to New York GoldenBlades.
[2024-10-09 08:16:59] - Nate Misskey has been added to New York GoldenBlades.
[2024-10-09 08:16:29] - Eerik Wallenius has been added to New York GoldenBlades.
[2024-10-09 08:15:55] - Kevin He has been added to New York GoldenBlades.
[2024-10-09 08:15:23] - Lucas Ellinas has been added to New York GoldenBlades.
[2024-10-09 08:14:52] - Gregor Biber has been added to New York GoldenBlades.
[2024-10-09 08:14:17] - Alexis Bernier has been added to New York GoldenBlades.
[2024-10-09 08:13:50] - Gabriel Eliasson has been added to New York GoldenBlades.
[2024-08-29 07:26:30] - Vladislav Namestnikov was released.
[2024-08-29 07:26:30] - New York GoldenBlades paid $0 to release Vladislav Namestnikov.
[2024-07-20 10:33:38] - Alexander Radulov was released by New York GoldenBlades
[2024-07-19 07:40:25] - Micheal Haley was released by New York GoldenBlades
[2024-07-19 07:40:03] - Bogdan Kiselevich was released by New York GoldenBlades
[2024-07-19 07:39:49] - Igor Ozhiganov was released by New York GoldenBlades
[2024-07-19 07:39:36] - Blake Comeau was released by New York GoldenBlades



[2024-11-20 19:41:35] New York GoldenBlades lines for next game are empty. Current rosters/lines are not erased.
[2024-11-20 19:41:31] Auto Lines Partial Function has been run for Detroit Gladiators.
[2024-11-20 19:41:31] Auto Lines Partial Function has been run for New York GoldenBlades.
[2024-11-19 18:59:44] Auto Lines Partial Function has been run for Detroit Gladiators.
[2024-11-19 18:59:43] Auto Lines Partial Function has been run for New York GoldenBlades.
[2024-11-18 19:55:45] Pro Game #117 - Warren Foegele from New York GoldenBlades has scored a Hat Trick!
[2024-11-18 19:55:41] Auto Lines Partial Function has been run for New York GoldenBlades.
[2024-11-17 19:14:47] Pro Game #103 - Adrian Kempe from Detroit Gladiators has scored a Hat Trick!
[2024-11-17 19:14:47] Game 103 - Kirby Dach from Detroit Gladiators is injured (Left Hand) and is out for 3 weeks.
[2024-11-17 19:14:43] Auto Lines Partial Function has been run for New York GoldenBlades.
[2024-11-14 19:11:13] Auto Lines Partial Function has been run for New York GoldenBlades.
[2024-11-12 18:00:08] Auto Lines Partial Function has been run for New York GoldenBlades.
[2024-11-12 18:00:07] Successfully loaded Detroit Gladiators lines done with STHS Client - 3.4.0.0
[2024-11-10 17:56:08] Andrew Peeke from New York GoldenBlades is back from Left Hand Injury.
[2024-11-10 17:56:08] Pro Game #58 - Sean Durzi from New York GoldenBlades has scored a Hat Trick!
[2024-11-10 17:56:08] Game 58 - Andrew Peeke from New York GoldenBlades is injured (Left Hand) and is out for 5 days.
[2024-11-07 20:27:12] Successfully loaded Detroit Gladiators lines done with STHS Client - 3.4.0.0



Pas de blessure ou de suspension.


New York GoldenBlades 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

New York GoldenBlades 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

New York GoldenBlades 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

New York GoldenBlades 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

New York GoldenBlades 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