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New York Rangers
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 8 | GA: 3 | PP%: 14.29% | PK%: 75.00%
DG: Alexandre Gagné | Morale : 53 | Moyenne d’équipe : 78
Prochains matchs #47 vs Philadelphia Flyers

Centre de jeu
Pittsburgh Penguins
0-2-0, 0pts
2
FINAL
4 New York Rangers
2-0-0, 4pts
Team Stats
L2SéquenceW2
0-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-0-0
0-2-0Derniers 10 matchs2-0-0
1.50Buts par match 4.00
6.00Buts contre par match 1.50
40.00%Pourcentage en avantage numérique14.29%
80.00%Pourcentage en désavantage numérique75.00%
New York Rangers
2-0-0, 4pts
4
FINAL
1 New York Islanders
1-1-0, 2pts
Team Stats
W2SéquenceL1
1-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-0-0
2-0-0Derniers 10 matchs1-1-0
4.00Buts par match 2.50
1.50Buts contre par match 2.50
14.29%Pourcentage en avantage numérique20.00%
75.00%Pourcentage en désavantage numérique100.00%
Philadelphia Flyers
0-2-0, 0pts
Jour 5
New York Rangers
2-0-0, 4pts
Statistiques d’équipe
L2SéquenceW2
0-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-0-0
0-2-010 derniers matchs2-0-0
2.50Buts par match 4.00
4.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique14.29%
100.00%Pourcentage en désavantage numérique75.00%
New York Rangers
2-0-0, 4pts
Jour 7
Carolina Hurricanes
2-0-0, 4pts
Statistiques d’équipe
W2SéquenceW2
1-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs2-0-0
4.00Buts par match 4.00
1.50Buts contre par match 4.00
14.29%Pourcentage en avantage numérique0.00%
75.00%Pourcentage en désavantage numérique100.00%
New York Islanders
1-1-0, 2pts
Jour 9
New York Rangers
2-0-0, 4pts
Statistiques d’équipe
L1SéquenceW2
0-1-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-0-0
1-1-010 derniers matchs2-0-0
2.50Buts par match 4.00
2.50Buts contre par match 4.00
20.00%Pourcentage en avantage numérique14.29%
100.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Nathan MacKinnonButs
Nathan MacKinnon
2
Neal PionkPasses
Neal Pionk
4
Lucas RaymondPoints
Lucas Raymond
4
Mark ScheifelePlus/Moins
Mark Scheifele
3
Andrei VasilevskiyVictoires
Andrei Vasilevskiy
2
Andrei VasilevskiyPourcentage d’arrêts
Andrei Vasilevskiy
0.925

Statistiques d’équipe
Buts pour
8
4.00 GFG
Tirs pour
55
27.50 Avg
Pourcentage en avantage numérique
14.3%
1 GF
Début de zone offensive
43.7%
Buts contre
3
1.50 GAA
Tirs contre
40
20.00 Avg
Pourcentage en désavantage numérique
75.0%%
1 GA
Début de la zone défensive
31.9%
Informations de l'équipe

Directeur généralAlexandre Gagné
EntraîneurPaul Maurice
DivisionMetro Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomMadison Square Garden
Capacité19,000
Assistance0
Billets de saison17,670


Informations de la formation

Équipe Pro21
Équipe Mineure22
Limite contact 43 / 60
Espoirs7


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible95,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,000,000$
Compte bancaire projeté20,000,000$


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 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 MacKinnonX100.0068507390799292977398917892878305387030512,600,000$
2Mark ScheifeleX100.007161698182899491748589738789850538303258,500,000$
3Filip ForsbergX100.007945738381889293518488718888820538203158,500,000$
4Brad MarchandXXX100.007450678468899488508182738491920538003755,250,000$
5Lucas RaymondXX100.007041878979898290418684728763530538002358,075,000$
6Zach HymanXX100.007042758181889089457788728684740538003334,125,000$
7Frank VatranoXX100.007748648278889089507883748484740537903134,571,189$
8Jake EvansXX100.007544898276868578807771827773630537702942,850,000$
9Garnet HathawayX100.008968637583838875527170767484740497503322,400,000$
10Logan O'ConnorX100.007462808472858675517271787776660537502952,500,000$
11Oskar SundqvistX100.007641767385848873677567747184740537403111,500,000$
12Mark JankowskiXX100.00645077748584847477667172738272053730311800,000$
13Mike MathesonX100.007052708679928986408173928184790538203114,875,000$
14Travis SanheimX100.007141738386948885407875938179690518202956,250,000$
15Neal PionkX100.007547698876918684407975878379690538003057,000,000$
16Brandon MontourX100.007057668278908889407982758482720537903157,142,857$
17Brent BurnsX100.006643837385898986407973837798880477904011,000,000$
18Jackson LaCombeX100.00704283858590778140767585805950049780241925,000$
Rayé
1William DufourX100.005745646167646362435856516051500485902300$
Équipe Mineure
1Justin DowlingX100.00654182716577796769646163667767051660342775,000$
2Brennan OthmannX100.00654274717474656642636060665550050640221863,333$
3Dominik ShineX100.00535160645972716444635655626558051610321775,000$
4Matthew StienburgX100.00635665707169616341585861635150051610241775,000$
5Danila KlimovichX100.00664465656762606243565961625050050600221833,333$
6Joakim KemellX100.00604269666461586344615954635050050600212886,667$
7Brad LambertX100.00564269656361586444635552615050053590212886,667$
8David GoyetteX100.00594167625861595841575559585050050580212891,667$
9Reid SchaeferX100.00684266607259565942555460585050050580222886,667$
10Tyler BoucherX100.00634366596762605841525354565050048560221863,333$
11Marc Del GaizoX100.00704676747177707040666273695650050690251775,000$
12Drew HellesonX100.007151677179777269406563716856500496802421,100,000$
13Adam WilsbyX100.00634178747378646740626170675250053670252775,000$
14Phil KempX100.00654566656767666240545668615450050630262775,000$
15Artem DudaX100.00634169676262616240615765625050050620212950,000$
16Hunter BrzustewiczX100.00594169646260586240625664615050050610202950,000$
17Nate ClurmanX100.00634270656566635840535367585550050610271775,000$
18Mikulas HovorkaX100.00644264606863626040555564585150050600241950,000$
19Marek AlscherX100.00614263626361595840555561585050050590212865,000$
20Aidan FulpX100.005941715968646257405352585652500475802500$
MOYENNE D’ÉQUIPE100.0067467173737775734768676971666105170
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
1Andrei Vasilevskiy100.00929496929493939292948785780548603137,125,000$
2Jonas Johansson100.00817979898179777878817471640547403021,250,000$
Rayé
Équipe Mineure
1Brandon Halverson100.0072666871707172717170675952051650291775,000$
2T.J. Semptimphelter100.00595757635856555455585451500485302300$
MOYENNE D’ÉQUIPE100.007674757976757474747671676105270
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice1111111CAN5851$


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
1Lucas RaymondNew York RangersLW/RW21343001530433.33%03819.250110500000000%100002.0800000010
2Neal PionkNew York RangersD2044100144250%04723.690113600004000%000001.6900000010
3Jackson LaCombeNew York RangersD3123-2004340425.00%36421.391123800003000%000000.9300000000
4Nathan MacKinnonNew York RangersC221310004112618.18%04623.4100007000031060.47%4300001.2800000100
5Brent BurnsNew York RangersD2022220432300%34020.330002600002000%000000.9800000000
6Mark ScheifeleNew York RangersC22023006351040.00%04221.1100005000031050.00%3400000.9500000100
7Travis SanheimNew York RangersD3022000442220%67424.680000900007000%000000.5400000000
8Brad MarchandNew York RangersC/LW/RW2011320120110%03819.2400005000000033.33%300000.5200000000
9Brandon MontourNew York RangersD2011220402220%34020.430001600002000%000000.4900000000
10Frank VatranoNew York RangersLW/RW2011100525220%03015.250000000000000%100000.6600000000
11Jake EvansNew York RangersC/RW21011000441325.00%03015.3600000000000069.23%2600100.6500000000
12Mike MathesonNew York RangersD21011204351420.00%04623.121014600002000%000000.4300000000
13Oskar SundqvistNew York RangersC210110001101100.00%0105.1600000000000085.71%1400001.9400000001
14Zach HymanNew York RangersLW/RW2011000034120%13618.480001700003000%300000.5400000000
15Adam WilsbyHartford Wolf Pack (NYR)D1000000020000%01717.850000000001000%00000000000000
16Brad LambertHartford Wolf Pack (NYR)C2000100000000%000.330000000000000%00000000000000
17Drew HellesonHartford Wolf Pack (NYR)D1000200300000%21515.550000000000000%00000000000000
18Filip ForsbergNew York RangersLW2000000653640%03618.4800017000030083.33%60000000000000
19Logan O'ConnorNew York RangersRW2000000324110%02914.98000000000000100.00%20000000000000
20Mark JankowskiNew York RangersC/RW2000100000000%0105.16000000000000100.00%20000000000000
Statistiques d’équipe totales ou en moyenne40918272180465059254115.25%1869917.4823515810000402061.48%13500100.7700000221
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
1Andrei VasilevskiyNew York Rangers22000.9251.50120003400000020000
Statistiques d’équipe totales ou en moyenne22000.9251.5012000340000020000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrei VasilevskiyNew York RangersG311994-07-25RUSNo228 Lbs6 ft4NoNoTrade2025-09-09NoYes32025-09-09FalseFalsePro & Farm7,125,000$7,125,000$7,125,000$7,125,000$No7,125,000$7,125,000$-------7,125,000$7,125,000$-------NoNo-------Lien NHL
Brad MarchandNew York RangersC/LW/RW371988-05-11CANNo180 Lbs5 ft9NoNoAssign ManuallyNoNo52025-07-02FalseFalsePro & Farm5,250,000$5,250,000$5,250,000$5,250,000$No5,250,000$5,250,000$5,250,000$5,250,000$-----5,250,000$5,250,000$5,250,000$5,250,000$-----NoNoNoNo-----Lien NHL
Brandon MontourNew York RangersD311994-04-11CANNo199 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,142,857$7,142,857$7,142,857$7,142,857$No7,142,857$7,142,857$7,142,857$7,142,857$-----7,142,857$7,142,857$7,142,857$7,142,857$-----NoNoNoNo-----Lien NHL
Brent BurnsNew York RangersD401985-03-09CANNo228 Lbs6 ft5NoNoTrade2025-09-20NoNo12025-07-03FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$1,000,000$No---------------------------Lien NHL
Filip ForsbergNew York RangersLW311994-08-13SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----Lien NHL
Frank VatranoNew York RangersLW/RW311994-03-14USANo206 Lbs5 ft11NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm4,571,189$4,571,189$4,571,189$4,571,189$No4,571,189$4,571,189$-------4,571,189$4,571,189$-------NoNo-------Lien NHL
Garnet HathawayNew York RangersRW331991-11-23USANo212 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-20FalseFalsePro & Farm2,400,000$2,400,000$2,400,000$2,400,000$No2,400,000$--------2,400,000$--------No--------Lien NHL
Jackson LaCombeNew York RangersD242001-01-09USANo205 Lbs6 ft2NoNoTrade2025-09-20NoNo12025-05-26FalseFalsePro & Farm925,000$925,000$925,000$925,000$No---------------------------Lien NHL
Jake EvansNew York RangersC/RW291996-06-02CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo42025-06-29FalseFalsePro & Farm2,850,000$2,850,000$2,850,000$2,850,000$No2,850,000$2,850,000$2,850,000$------2,850,000$2,850,000$2,850,000$------NoNoNo------Lien NHL
Jonas JohanssonNew York RangersG301995-09-19SWENo218 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm1,250,000$1,250,000$1,250,000$1,250,000$No1,250,000$--------1,250,000$--------No--------Lien NHL
Logan O'ConnorNew York RangersRW291996-08-14USANo175 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----Lien NHL
Lucas RaymondNew York RangersLW/RW232002-03-28SWENo188 Lbs5 ft11NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,075,000$8,075,000$8,075,000$8,075,000$No8,075,000$8,075,000$8,075,000$8,075,000$-----8,075,000$8,075,000$8,075,000$8,075,000$-----NoNoNoNo-----Lien NHL
Mark JankowskiNew York RangersC/RW311994-09-13CANNo212 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm800,000$800,000$800,000$800,000$No---------------------------Lien NHL
Mark ScheifeleNew York RangersC321993-03-15CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----Lien NHL
Mike MathesonNew York RangersD311994-02-27CANNo196 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,875,000$4,875,000$4,875,000$4,875,000$No---------------------------Lien NHL
Nathan MacKinnonNew York RangersC301995-09-01CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm12,600,000$12,600,000$12,600,000$12,600,000$No12,600,000$12,600,000$12,600,000$12,600,000$-----12,600,000$12,600,000$12,600,000$12,600,000$-----NoNoNoNo-----Lien NHL
Neal PionkNew York RangersD301995-07-29USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm7,000,000$7,000,000$7,000,000$7,000,000$No7,000,000$7,000,000$7,000,000$7,000,000$-----7,000,000$7,000,000$7,000,000$7,000,000$-----NoNoNoNo-----Lien NHL
Oskar SundqvistNew York RangersC311994-03-23SWENo220 Lbs6 ft3NoNoTrade2025-09-15NoNo12025-05-26FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$1,500,000$No---------------------------Lien NHL
Travis SanheimNew York RangersD291996-03-29CANNo222 Lbs6 ft4NoNoTrade2025-09-21NoNo52025-05-26FalseFalsePro & Farm6,250,000$6,250,000$6,250,000$6,250,000$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----Lien NHL
William DufourNew York RangersRW232002-01-28CANNo194 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Zach HymanNew York RangersLW/RW331992-06-09CANNo206 Lbs6 ft1NoNoTrade2025-09-15NoNo32025-09-15FalseFalsePro & Farm4,125,000$4,125,000$4,125,000$4,125,000$No4,125,000$4,125,000$-------4,125,000$4,125,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.43204 Lbs6 ft23.194,630,431$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
97,239,046$88,139,046$84,489,046$68,667,857$65,817,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergNathan MacKinnonZach Hyman30122
2Brad MarchandMark ScheifeleLucas Raymond30122
3Frank VatranoJake EvansLogan O'Connor25122
4Nathan MacKinnonOskar SundqvistMark Jankowski15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike MathesonNeal Pionk30122
2Brandon MontourBrent Burns30122
3Jackson LaCombe25122
4Mike MathesonNeal Pionk15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergNathan MacKinnonZach Hyman50122
2Brad MarchandMark ScheifeleLucas Raymond50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan MacKinnonMark Scheifele50122
2Filip ForsbergZach Hyman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan MacKinnon50122Mike MathesonNeal Pionk50122
2Mark Scheifele50122Brandon MontourBrent Burns50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan MacKinnonMark Scheifele50122
2Filip ForsbergZach Hyman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ForsbergNathan MacKinnonZach HymanMike MathesonNeal Pionk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ForsbergNathan MacKinnonZach HymanMike MathesonNeal Pionk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Frank Vatrano, Jake Evans, Frank VatranoJake Evans
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Matheson, Neal Pionk, Brandon MontourMike MathesonNeal Pionk, Brandon Montour
Tirs de pénalité
Nathan MacKinnon, Mark Scheifele, Filip Forsberg, Zach Hyman, Brad Marchand
Gardien
#1 : Andrei Vasilevskiy, #2 : Jonas Johansson
Lignes d’attaque personnalisées en prolongation
Nathan MacKinnon, Mark Scheifele, Filip Forsberg, Zach Hyman, Brad Marchand, Lucas Raymond, Frank Vatrano, Jake Evans, Logan O'Connor, Oskar Sundqvist
Lignes de défense personnalisées en prolongation
Mike Matheson, Neal Pionk, Brandon Montour, Brent Burns, Jackson LaCombe


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
1New York Islanders11000000413000000000001100000041321.00048120002203069150155618200.00%30100.00%0395966.10%254358.14%193357.58%2518226115
2Pittsburgh Penguins11000000422110000004220000000000021.000481200022025109602562225120.00%110.00%0395966.10%254358.14%193357.58%2619206126
Total22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412
_Since Last GM Reset22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412
_Vs Conference22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412
_Vs Division22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
24W28162455401184000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
220000083
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000042
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000041
Derniers 10 matchs
WLOTWOTL SOWSOL
200000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7114.29%4175.00%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
16182100440
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
395966.10%254358.14%193357.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
513743132412


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
216Pittsburgh Penguins2New York Rangers4WSommaire du match
328New York Rangers4New York Islanders1WSommaire du match
547Philadelphia Flyers-New York Rangers-
763New York Rangers-Carolina Hurricanes-
979New York Islanders-New York Rangers-
1199New York Rangers-Pittsburgh Penguins-
13111Columbus Blue Jackets-New York Rangers-
14126New York Rangers-Columbus Blue Jackets-
16139New York Rangers-Philadelphia Flyers-
17153Carolina Hurricanes-New York Rangers-
19167New York Rangers-Washington Capitals-
21181Washington Capitals-New York Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22193New York Rangers-New Jersey Devils-
27223New Jersey Devils-New York Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 97,239,046$ 97,239,046$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 24 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,000,000$ 20,000,000$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 95,500,000$ 95,500,000$ -70,600,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Filip ForsbergAGE:31PO:0OV:82
Brad MarchandAGE:37PO:0OV:80
Lucas RaymondAGE:23PO:0OV:80
Zach HymanAGE:33PO:0OV:80
Frank VatranoAGE:31PO:0OV:79
Brennan OthmannAGE:22PO:0OV:64
Reid SchaeferAGE:22PO:0OV:58
Nathan MacKinnonAGE:30PO:0OV:87
Mark ScheifeleAGE:32PO:0OV:83
Brad MarchandAGE:37PO:0OV:80
Jake EvansAGE:29PO:0OV:77
Oskar SundqvistAGE:31PO:0OV:74
Mark JankowskiAGE:31PO:0OV:73
Justin DowlingAGE:34PO:0OV:66
Matthew StienburgAGE:24PO:0OV:61
Brad LambertAGE:21PO:0OV:59
David GoyetteAGE:21PO:0OV:58
Brad MarchandAGE:37PO:0OV:80
Lucas RaymondAGE:23PO:0OV:80
Zach HymanAGE:33PO:0OV:80
Frank VatranoAGE:31PO:0OV:79
Jake EvansAGE:29PO:0OV:77
Garnet HathawayAGE:33PO:0OV:75
Logan O'ConnorAGE:29PO:0OV:75
Mark JankowskiAGE:31PO:0OV:73
Dominik ShineAGE:32PO:0OV:61
Danila KlimovichAGE:22PO:0OV:60
Joakim KemellAGE:21PO:0OV:60
William DufourAGE:23PO:0OV:59
Tyler BoucherAGE:22PO:0OV:56

Défense #1Défense #2Gardien
Mike MathesonAGE:31PO:0OV:82
Travis SanheimAGE:29PO:0OV:82
Neal PionkAGE:30PO:0OV:80
Brandon MontourAGE:31PO:0OV:79
Brent BurnsAGE:40PO:0OV:79
Jackson LaCombeAGE:24PO:0OV:78
Marc Del GaizoAGE:25PO:0OV:69
Drew HellesonAGE:24PO:0OV:68
Adam WilsbyAGE:25PO:0OV:67
Phil KempAGE:26PO:0OV:63
Artem DudaAGE:21PO:0OV:62
Hunter BrzustewiczAGE:20PO:0OV:61
Nate ClurmanAGE:27PO:0OV:61
Mikulas HovorkaAGE:24PO:0OV:60
Marek AlscherAGE:21PO:0OV:59
Aidan FulpAGE:25PO:0OV:58
Andrei VasilevskiyAGE:31PO:0OV:86
Jonas JohanssonAGE:30PO:0OV:74
Brandon HalversonAGE:29PO:0OV:65
T.J. SemptimphelterAGE:23PO:0OV:53

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
Aidan ThompsonNew York Rangers2025289Fantasy DraftLien
Caden PriceNew York Rangers2025104Fantasy Draft2025-09-21Lien
E.J. EmeryNew York Rangers2025160Fantasy DraftLien
Lucas PetterssonNew York Rangers2025161Fantasy DraftLien
Maxim ShabanovNew York Rangers2025225Fantasy DraftLien
Milton GastrinNew York Rangers202596Fantasy DraftLien
Prokhor PoltapovNew York Rangers2025288Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



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


New York Rangers Historique de transactions

[2025-09-21 09:20:46] TRADE : From New York Rangers to Anaheim Ducks : Sam Dickinson (P).
[2025-09-21 09:20:46] TRADE : From Anaheim Ducks to New York Rangers : Travis Sanheim (82), Caden Price (P).
[2025-09-20 21:39:04] TRADE : From Ottawa Senators to New York Rangers : Jackson LaCombe (78), Sam Dickinson (P), Y:2026-RND:4-NYI.
[2025-09-20 21:39:04] TRADE : From New York Rangers to Ottawa Senators : Brock Faber (78), Cole Beaudoin (P), Y:2026-RND:3-NYR.
[2025-09-20 21:25:36] Garnet Hathaway was added to New York Rangers.
[2025-09-20 05:35:03] TRADE : From Columbus Blue Jackets to New York Rangers : Brent Burns (79).
[2025-09-20 05:35:03] TRADE : From New York Rangers to Columbus Blue Jackets : Nolan Allan (67), Y:2026-RND:5-NYR.
[2025-09-19 15:17:47] Conner Murphy was released.
[2025-09-19 15:17:47] Ales Stezka was released.
[2025-09-19 15:17:47] Nicky Leivermann was released.
[2025-09-19 15:17:47] Jere Innala was released.
[2025-09-19 15:17:47] Givani Smith was released.
[2025-09-19 15:17:47] Garnet Hathaway was released.
[2025-09-19 15:17:47] Brock McGinn was released.
[2025-09-19 15:17:47] Brian Pinho was released.
[2025-09-19 15:17:47] Anthony Angello was released.
[2025-09-15 21:17:12] TRADE : From New York Islanders to New York Rangers : Oskar Sundqvist (74), Zach Hyman (80).
[2025-09-15 21:17:12] TRADE : From New York Rangers to New York Islanders : Fabian Lysell (61), Morgan Barron (74), Danila Yurov (P).
[2025-09-10 23:10:45] Hartford Wolf Pack hired John Tortorella for $1 for 5 year(s).
[2025-09-10 23:10:37] New York Rangers hired Paul Maurice for $1 for 5 year(s).
[2025-09-09 11:23:05] TRADE : From Winnipeg Jets to New York Rangers : Andrei Vasilevskiy (85).
[2025-09-09 11:23:05] TRADE : From New York Rangers to Winnipeg Jets : Nikke Kokko (62), Maxim Strbak (P), Tom Willander (P), Y:2026-RND:1-NYR.



Pas de blessure ou de suspension.


New York Rangers 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 Rangers 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 Rangers 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 Rangers 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 Rangers 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