Please rotate your device to landscape mode for a better experience.
Connexion

New York Rangers
GP: 18 | W: 14 | L: 3 | OTL: 1 | P: 29
GF: 76 | GA: 57 | PP%: 27.78% | PK%: 84.62%
DG: Alexandre Gagné | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #290 vs Columbus Blue Jackets

Centre de jeu
Nashville Predators
9-9-0, 18pts
5
FINAL
2 New York Rangers
14-3-1, 29pts
Team Stats
W3SéquenceW1
7-4-0Fiche domicile6-1-1
2-5-0Fiche visiteur8-2-0
5-5-0Derniers 10 matchs8-2-0
4.22Buts par match 4.22
4.00Buts contre par match 3.17
29.51%Pourcentage en avantage numérique27.78%
73.75%Pourcentage en désavantage numérique84.62%
New York Rangers
14-3-1, 29pts
4
FINAL
2 Tampa Bay Lightning
6-7-3, 15pts
Team Stats
W1SéquenceL5
6-1-1Fiche domicile4-3-1
8-2-0Fiche visiteur2-4-2
8-2-0Derniers 10 matchs3-5-2
4.22Buts par match 2.75
3.17Buts contre par match 3.50
27.78%Pourcentage en avantage numérique28.00%
84.62%Pourcentage en désavantage numérique93.55%
New York Rangers
14-3-1, 29pts
Jour 40
Columbus Blue Jackets
9-7-1, 19pts
Statistiques d’équipe
W1SéquenceW3
6-1-1Fiche domicile4-3-0
8-2-0Fiche visiteur5-4-1
8-2-010 derniers matchs8-1-1
4.22Buts par match 3.41
3.17Buts contre par match 3.41
27.78%Pourcentage en avantage numérique19.67%
84.62%Pourcentage en désavantage numérique77.19%
Detroit Red Wings
8-9-0, 16pts
Jour 41
New York Rangers
14-3-1, 29pts
Statistiques d’équipe
W2SéquenceW1
6-3-0Fiche domicile6-1-1
2-6-0Fiche visiteur8-2-0
4-6-010 derniers matchs8-2-0
2.94Buts par match 4.22
3.41Buts contre par match 4.22
15.63%Pourcentage en avantage numérique27.78%
78.95%Pourcentage en désavantage numérique84.62%
New York Rangers
14-3-1, 29pts
Jour 43
Vegas Golden Knights
7-6-3, 17pts
Statistiques d’équipe
W1SéquenceL1
6-1-1Fiche domicile4-4-2
8-2-0Fiche visiteur3-2-1
8-2-010 derniers matchs4-4-2
4.22Buts par match 2.94
3.17Buts contre par match 2.94
27.78%Pourcentage en avantage numérique14.04%
84.62%Pourcentage en désavantage numérique83.61%
Meneurs d'équipe
Mark ScheifeleButs
Mark Scheifele
12
Brandon MontourPasses
Brandon Montour
17
Mark ScheifelePoints
Mark Scheifele
22
Mark ScheifelePlus/Moins
Mark Scheifele
13
Andrei VasilevskiyVictoires
Andrei Vasilevskiy
13
Andrei VasilevskiyPourcentage d’arrêts
Andrei Vasilevskiy
0.881

Statistiques d’équipe
Buts pour
76
4.22 GFG
Tirs pour
597
33.17 Avg
Pourcentage en avantage numérique
27.8%
15 GF
Début de zone offensive
42.8%
Buts contre
57
3.17 GAA
Tirs contre
488
27.11 Avg
Pourcentage en désavantage numérique
84.6%%
8 GA
Début de la zone défensive
37.1%
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
Assistance18,036
Billets de saison17,670


Informations de la formation

Équipe Pro20
Équipe Mineure22
Limite contact 42 / 60
Espoirs7


Plafond salarial

Cap Salarial de la Saison estimé95,364,046$
Plafond salarial disponible135,954$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour14,167,101$
Dépenses annuelles à ce jour18,882,668$
Revenus de la saison estimés58,439,292$
Dépenses de la saison estimées76,489,952$
Compte bancaire actuel18,385,036$
Compte bancaire projeté10,693,203$


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 MacKinnonX100.0068507390799292977398917892878305087030512,600,000$
2Mark ScheifeleX100.007161698182899491748589738789850508303258,500,000$
3Filip ForsbergX100.007945738381889293518488718888820508203158,500,000$
4Brad MarchandXXX100.007450678468899488508182738491920508003755,250,000$
5Lucas RaymondXX100.007041878979898290418684728763530508002358,075,000$
6Zach HymanXX100.007042758181889089457788728684740508003334,125,000$
7Frank VatranoXX100.007748648278889089507883748484740507903134,571,189$
8Jake EvansXX100.007544898276868578807771827773630507702942,850,000$
9Casey CizikasXX100.008358727675849475837168777389790507503421,250,000$
10Logan O'ConnorX100.007462808472858675517271787776660507502952,500,000$
11Mark JankowskiXX100.00645077748584847477667172738272050730311800,000$
12Tyson JostXXX100.00705172757681817065666569708272050700271775,000$
13Mike MathesonX99.007052708679928986408173928184790508203114,875,000$
14Travis SanheimX100.007141738386948885407875938179690508202956,250,000$
15Brent BurnsX100.006643837385898986407973837798880508004011,000,000$
16Neal PionkX99.007547698876918684407975878379690508003057,000,000$
17Brandon MontourX100.007057668278908889407982758482720507903157,142,857$
18Jackson LaCombeX100.00704283858590778140767585805950050780245925,000$
Rayé
Équipe Mineure
1Justin DowlingX100.00654182716577796769646163667767050670352775,000$
2Brennan OthmannX99.00654274717474656642636060665550050640221863,333$
3Matthew StienburgX100.00635665707169616341585861635150050620251775,000$
4Dominik ShineX100.00535160645972716444635655626558050610321775,000$
5Danila KlimovichX98.00664465656762606243565961625050050600221833,333$
6Joakim KemellX100.00604269666461586344615954635050050600212886,667$
7Brad LambertX100.00564269656361586444635552615050050590212886,667$
8Reid SchaeferX100.00684266607259565942555460585050050590222886,667$
9Drew HellesonX100.007151677179777269406563716856500506902421,100,000$
10Marc Del GaizoX100.00704676747177707040666273695650050690261775,000$
11Adam WilsbyX100.00634178747378646740626170675250050670252775,000$
12Phil KempX100.00654566656767666240545668615450050630262775,000$
13Artem DudaX100.00634169676262616240615765625050050620212950,000$
14Nate ClurmanX100.00634270656566635840535367585550050620271775,000$
15Hunter BrzustewiczX100.00594169646260586240625664615050050610202950,000$
16Mikulas HovorkaX100.00644264606863626040555564585150050610241950,000$
17Marek AlscherX100.00614263626361595840555561585050050590212865,000$
18David GoyetteX100.00594167625861595841575559585050050580212891,667$
19Tyler BoucherX100.00634366596762605841525354565050050570221863,333$
20Aidan FulpX100.005941715968646257405352585652500505902500$
MOYENNE D’ÉQUIPE99.8767467273737775734868677071676205070
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 Vasilevskiy97.00929496929493939292948785780508503137,125,000$
2Jonas Johansson100.00817979898179777878817471640507303021,250,000$
Rayé
Équipe Mineure
1Brandon Halverson100.0072666871707172717170675952050650291775,000$
2T.J. Semptimphelter100.00595757635856555455585451500505302300$
MOYENNE D’ÉQUIPE99.257674757976757474747671676105069
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
1Mark ScheifeleNew York RangersC18121022130020445173323.53%434319.061458440001171150.12%42700101.2800000212
2Lucas RaymondNew York RangersLW/RW181011211120142057213717.54%231717.674041444000001228.00%2500001.3200000051
3Mike MathesonNew York RangersD18416202140292932131612.50%3844124.522571548000039110%000000.9100000111
4Brandon MontourNew York RangersD182171932154516288247.14%1837220.681341543000044100%000001.0200010112
5Travis SanheimNew York RangersD183161971003115198515.79%1526314.650000000000010%000001.4400000311
6Nathan MacKinnonNew York RangersC1711617020143549132722.45%434120.071125430003121151.77%42300001.0000000310
7Brad MarchandNew York RangersC/LW/RW18510151180331947173510.64%033018.382351244000092045.16%3100000.9100000202
8Neal PionkNew York RangersD1859141160382339142712.82%1644124.542462047000042100%000000.6300000100
9Brent BurnsNew York RangersD1811112310014172411184.17%2537020.560331244000038000%000000.6500000001
10Zach HymanNew York RangersLW/RW186511-52014163872415.79%433818.8320210470000192043.75%3200000.6500000002
11Filip ForsbergNew York RangersLW182810-51003819569353.57%433718.7603317470001182043.86%5700000.5900000000
12Jake EvansNew York RangersC/RW1855102406353951612.82%726014.50000000000280054.91%32600000.7700000000
13Frank VatranoNew York RangersLW/RW1834721002924489396.25%326114.53000040000231062.50%3200000.5400000101
14Jackson LaCombeNew York RangersD1813472021616186.25%1927715.3900000000013000%000000.2900000000
15Casey CizikasNew York RangersC/LW17213060915821825.00%21388.15000000001251067.25%17100000.4300000000
16Logan O'ConnorNew York RangersRW182132201318283207.14%425614.25000000001240052.94%1700000.2300000010
17Mark JankowskiNew York RangersC/RW181232003414587.14%11176.5300000000000050.00%800000.5100000000
18Tyson JostNew York RangersC/LW/RW181010005552320.00%1965.3800000000000040.54%3700000.2100000000
19Joakim KemellHartford Wolf Pack (NYR)RW1000-100000000%066.35000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne3237613521155119537636059815539312.71%167531416.45152641128461000735814652.68%158700100.7900010141113
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 Rangers1813310.8813.221043015647100000180010
2Jonas JohanssonNew York Rangers11000.9411.46410011700000018000
Statistiques d’équipe totales ou en moyenne1914310.8833.151085015748800001818010


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$5,714,844$7,125,000$5,714,844$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$4,210,938$5,250,000$4,210,938$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$5,729,167$7,142,857$5,729,167$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$802,083$1,000,000$802,083$No---------------------------Lien NHL
Casey CizikasNew York RangersC/LW341991-02-27CANNo194 Lbs5 ft11NoNoTrade2025-10-09NoNo22025-10-09FalseFalsePro & Farm1,250,000$1,002,604$1,250,000$1,002,604$No1,250,000$--------1,250,000$--------No--------Lien NHL
Filip ForsbergNew York RangersLW311994-08-13SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$6,817,708$8,500,000$6,817,708$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$3,666,475$4,571,189$3,666,475$No4,571,189$4,571,189$-------4,571,189$4,571,189$-------NoNo-------Lien NHL
Jackson LaCombeNew York RangersD242001-01-09USANo205 Lbs6 ft2NoNoTrade2025-09-20NoNo52025-10-03FalseFalsePro & Farm925,000$741,927$925,000$741,927$No9,000,000$9,000,000$9,000,000$9,000,000$-----9,000,000$9,000,000$9,000,000$9,000,000$-----NoNoNoNo-----Lien NHL
Jake EvansNew York RangersC/RW291996-06-02CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo42025-06-29FalseFalsePro & Farm2,850,000$2,285,938$2,850,000$2,285,938$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$1,002,604$1,250,000$1,002,604$No1,250,000$--------1,250,000$--------No--------Lien NHL
Logan O'ConnorNew York RangersRW291996-08-14USANo175 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm2,500,000$2,005,208$2,500,000$2,005,208$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$6,476,823$8,075,000$6,476,823$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 ManuallyNoYes12025-05-26FalseFalsePro & Farm800,000$641,667$800,000$641,667$No---------------------------Lien NHL
Mark ScheifeleNew York RangersC321993-03-15CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$6,817,708$8,500,000$6,817,708$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$3,910,156$4,875,000$3,910,156$No---------------------------Lien NHL
Nathan MacKinnonNew York RangersC301995-09-01CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm12,600,000$10,106,250$12,600,000$10,106,250$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$5,614,583$7,000,000$5,614,583$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
Travis SanheimNew York RangersD291996-03-29CANNo222 Lbs6 ft4NoNoTrade2025-09-21NoNo52025-05-26FalseFalsePro & Farm6,250,000$5,013,021$6,250,000$5,013,021$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
Tyson JostNew York RangersC/LW/RW271998-03-14CANNo187 Lbs5 ft11NoNoTrade2025-10-07NoYes12025-07-02FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------Lien NHL
Zach HymanNew York RangersLW/RW331992-06-09CANNo206 Lbs6 ft1NoNoTrade2025-09-15NoNo32025-09-15FalseFalsePro & Farm4,125,000$3,308,594$4,125,000$3,308,594$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
2030.65202 Lbs6 ft13.554,768,202$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
95,364,046$95,989,046$93,489,046$77,667,857$74,817,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergNathan MacKinnonZach Hyman30122
2Brad MarchandMark ScheifeleLucas Raymond30122
3Frank VatranoJake EvansLogan O'Connor25122
4Tyson JostCasey CizikasMark Jankowski15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike MathesonNeal Pionk30122
2Brandon MontourBrent Burns30122
3Jackson LaCombeTravis Sanheim25122
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
1Jake EvansLogan O'Connor50122
2Casey CizikasFrank Vatrano50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Evans50122Mike MathesonNeal Pionk50122
2Logan O'Connor50122Brandon MontourBrent Burns50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad MarchandFilip Forsberg50122
2Mark ScheifeleZach 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
Nathan MacKinnon, Frank Vatrano, Jake EvansNathan MacKinnon, 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, Casey Cizikas
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
1Buffalo Sabres10001000651000000000001000100065121.00061218002211311296438188293133.33%40100.00%035867952.72%32958955.86%15931850.00%2618236126
2Calgary Flames11000000752000000000001100000075221.000714210023203615714028201225100.00%6183.33%035867952.72%32958955.86%15931850.00%2315247126
3Carolina Hurricanes11000000422110000004220000000000021.000471100112036792002062216233.33%10100.00%035867952.72%32958955.86%15931850.00%2619216116
4Detroit Red Wings11000000321000000000001100000032121.00034700102025122110295825100.00%4175.00%035867952.72%32958955.86%15931850.00%2416227136
5Edmonton Oilers2010010057-21000010034-11010000023-110.25051015001310642520181632012508112.50%6183.33%035867952.72%32958955.86%15931850.00%513744132613
6Minnesota Wild10001000211100010002110000000000021.0002460010013011973208022200.00%000%035867952.72%32958955.86%15931850.00%2619217136
7Montreal Canadiens11000000541000000000001100000054121.000591400311034913120214416200.00%2150.00%035867952.72%32958955.86%15931850.00%2619206126
8Nashville Predators1010000025-31010000025-30000000000000.00024600110039420150258619400.00%30100.00%035867952.72%32958955.86%15931850.00%2619227115
9New York Islanders11000000532110000005320000000000021.0005813001130314131403278274250.00%4175.00%035867952.72%32958955.86%15931850.00%2517227126
10Pittsburgh Penguins220000001257110000007251100000053241.000122335005250741927280462520346466.67%8187.50%035867952.72%32958955.86%15931850.00%513643122412
11San Jose Sharks11000000532110000005320000000000021.000571200122032169702514417000%20100.00%035867952.72%32958955.86%15931850.00%2619216125
12Seattle Kraken11000000743000000000001100000074321.000714210022304113161202349186350.00%10100.00%035867952.72%32958955.86%15931850.00%2417237115
13Tampa Bay Lightning11000000422000000000001100000042221.000461000211031617802710814300.00%4175.00%035867952.72%32958955.86%15931850.00%2517206137
14Toronto Maple Leafs1010000028-6000000000001010000028-600.00023500101035910160511310134125.00%5180.00%035867952.72%32958955.86%15931850.00%2315247125
15Vancouver Canucks11000000211000000000001100000021121.000235000200277911023362011100.00%10100.00%035867952.72%32958955.86%15931850.00%2822186136
16Washington Capitals11000000505110000005050000000000021.00058130111303148190172228300.00%10100.00%035867952.72%32958955.86%15931850.00%3023166127
Total18123021007657198510110033201310720100043376290.806761362120125222725971731982188488167119378541527.78%52884.62%035867952.72%32958955.86%15931850.00%467336392122226116
_Since Last GM Reset18123021007657198510110033201310720100043376290.806761362120125222725971731982188488167119378541527.78%52884.62%035867952.72%32958955.86%15931850.00%467336392122226116
_Vs Conference10810100046311544000000217146410100025241180.9004680126011791913288210813442819070207321031.25%33681.82%035867952.72%32958955.86%15931850.00%2601842156612666
_Vs Division55000000261016440000002171411000000532101.00026467201851301723457810115403211019842.11%14285.71%035867952.72%32958955.86%15931850.00%13497103316133

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1829W17613621259748816711937801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1812321007657
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85111003320
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
107210004337
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
541527.78%52884.62%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
17319821882522272
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
35867952.72%32958955.86%15931850.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
467336392122226116


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
12Pittsburgh Penguins2New York Rangers7WSommaire du match
39New York Rangers6Buffalo Sabres5WXSommaire du match
529New York Rangers5Pittsburgh Penguins3WSommaire du match
638Washington Capitals0New York Rangers5WSommaire du match
851Edmonton Oilers4New York Rangers3LXSommaire du match
1061New York Rangers2Toronto Maple Leafs8LSommaire du match
1280New York Rangers5Montreal Canadiens4WSommaire du match
1493Minnesota Wild1New York Rangers2WXSommaire du match
17116San Jose Sharks3New York Rangers5WSommaire du match
20146New York Rangers7Calgary Flames5WSommaire du match
22163New York Rangers2Vancouver Canucks1WSommaire du match
24175New York Rangers2Edmonton Oilers3LSommaire du match
26193New York Rangers7Seattle Kraken4WSommaire du match
29206Carolina Hurricanes2New York Rangers4WSommaire du match
32227New York Rangers3Detroit Red Wings2WSommaire du match
33237New York Islanders3New York Rangers5WSommaire du match
35253Nashville Predators5New York Rangers2LSommaire du match
37265New York Rangers4Tampa Bay Lightning2WSommaire du match
40290New York Rangers-Columbus Blue Jackets-
41299Detroit Red Wings-New York Rangers-
43313New York Rangers-Vegas Golden Knights-
45326New York Rangers-Colorado Avalanche-
47344New York Rangers-Utah Mammoth-
49355St. Louis Blues-New York Rangers-
51368New York Rangers-Carolina Hurricanes-
53376New York Rangers-Boston Bruins-
54391Tampa Bay Lightning-New York Rangers-
57415Dallas Stars-New York Rangers-
59427New York Rangers-Ottawa Senators-
61441Colorado Avalanche-New York Rangers-
62458Vegas Golden Knights-New York Rangers-
65476New York Rangers-Chicago Blackhawks-
68500Montreal Canadiens-New York Rangers-
70515Anaheim Ducks-New York Rangers-
71523Vancouver Canucks-New York Rangers-
73541New York Rangers-St. Louis Blues-
75549Philadelphia Flyers-New York Rangers-
76567New York Rangers-Nashville Predators-
78576New York Rangers-Washington Capitals-
82588New York Rangers-New York Islanders-
84608New York Rangers-Carolina Hurricanes-
86622New York Rangers-Washington Capitals-
88641New York Rangers-Florida Panthers-
91662Utah Mammoth-New York Rangers-
94685Buffalo Sabres-New York Rangers-
96697New York Rangers-Boston Bruins-
98718Seattle Kraken-New York Rangers-
100737Ottawa Senators-New York Rangers-
103755New York Rangers-Philadelphia Flyers-
105779New York Rangers-Anaheim Ducks-
106787New York Rangers-Los Angeles Kings-
109808New York Rangers-San Jose Sharks-
112826Boston Bruins-New York Rangers-
114842New York Rangers-New York Islanders-
115849New York Islanders-New York Rangers-
117861New York Rangers-Pittsburgh Penguins-
122906Carolina Hurricanes-New York Rangers-
143924Philadelphia Flyers-New York Rangers-
145934Pittsburgh Penguins-New York Rangers-
147953Columbus Blue Jackets-New York Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150975Toronto Maple Leafs-New York Rangers-
152991New York Rangers-New Jersey Devils-
1541008New York Rangers-Philadelphia Flyers-
1551017Calgary Flames-New York Rangers-
1571036New York Rangers-Winnipeg Jets-
1591046New York Rangers-Minnesota Wild-
1611065Los Angeles Kings-New York Rangers-
1631077New Jersey Devils-New York Rangers-
1641086New York Rangers-Columbus Blue Jackets-
1671110Winnipeg Jets-New York Rangers-
1681119Ottawa Senators-New York Rangers-
1701136New York Rangers-Toronto Maple Leafs-
1721151Chicago Blackhawks-New York Rangers-
1741167Florida Panthers-New York Rangers-
1761182New Jersey Devils-New York Rangers-
1781195Montreal Canadiens-New York Rangers-
1801207Detroit Red Wings-New York Rangers-
1811227Washington Capitals-New York Rangers-
1841244Buffalo Sabres-New York Rangers-
1871268New York Rangers-Dallas Stars-
1891283New York Rangers-Florida Panthers-
1911302New York Rangers-Tampa Bay Lightning-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance45,52837,89715,05030,34215,468
Attendance PCT94.85%94.74%94.06%94.82%96.68%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 18036 - 94.92% 1,770,888$14,167,101$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
18,882,668$ 95,364,046$ 95,364,046$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
95,364,046$ 18,882,668$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
58,439,292$ 154 496,688$ 76,489,952$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
77,834,916$ 18,385,036$ 10,693,203$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
95,364,046$ 135,954$ 95,500,000$ 24,764,046$



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
Casey CizikasAGE:34PO:0OV:75
Tyson JostAGE:27PO:0OV:70
Brennan OthmannAGE:22PO:0OV:64
Reid SchaeferAGE:22PO:0OV:59
Nathan MacKinnonAGE:30PO:0OV:87
Mark ScheifeleAGE:32PO:0OV:83
Brad MarchandAGE:37PO:0OV:80
Jake EvansAGE:29PO:0OV:77
Casey CizikasAGE:34PO:0OV:75
Mark JankowskiAGE:31PO:0OV:73
Tyson JostAGE:27PO:0OV:70
Justin DowlingAGE:35PO:0OV:67
Matthew StienburgAGE:25PO:0OV:62
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
Logan O'ConnorAGE:29PO:0OV:75
Mark JankowskiAGE:31PO:0OV:73
Tyson JostAGE:27PO:0OV:70
Dominik ShineAGE:32PO:0OV:61
Danila KlimovichAGE:22PO:0OV:60
Joakim KemellAGE:21PO:0OV:60
Tyler BoucherAGE:22PO:0OV:57

Défense #1Défense #2Gardien
Mike MathesonAGE:31PO:0OV:82
Travis SanheimAGE:29PO:0OV:82
Brent BurnsAGE:40PO:0OV:80
Neal PionkAGE:30PO:0OV:80
Brandon MontourAGE:31PO:0OV:79
Jackson LaCombeAGE:24PO:0OV:78
Drew HellesonAGE:24PO:0OV:69
Marc Del GaizoAGE:26PO:0OV:69
Adam WilsbyAGE:25PO:0OV:67
Phil KempAGE:26PO:0OV:63
Artem DudaAGE:21PO:0OV:62
Nate ClurmanAGE:27PO:0OV:62
Hunter BrzustewiczAGE:20PO:0OV:61
Mikulas HovorkaAGE:24PO:0OV:61
Aidan FulpAGE:25PO:0OV:59
Marek AlscherAGE:21PO:0OV:59
Andrei VasilevskiyAGE:31PO:0OV:85
Jonas JohanssonAGE:30PO:0OV:73
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

[2025-10-26 09:56:11] New Record for Team's Most Penalties Minutes (12) in 1 Game for New York Rangers!
[2025-10-26 09:56:11] New Record for Team's Most Shots Blocked (20) in 1 Game for New York Rangers!
[2025-10-09 19:02:28] TRADE : From Philadelphia Flyers to New York Rangers : Casey Cizikas (75).
[2025-10-09 19:02:28] TRADE : From New York Rangers to Philadelphia Flyers : Oskar Sundqvist (74), Y:2026-RND:6-NYR.
[2025-10-09 08:02:57] New Record for Team's Most Hits (29) in 1 Game for New York Rangers!
[2025-10-09 08:02:57] New Record for Team's Most Shots Blocked (18) in 1 Game for New York Rangers!
[2025-10-09 08:02:57] New Record for Team's Most Shots Blocked (18) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Hits (18) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Penalties Minutes (10) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Shots Blocked (9) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Shots (45) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Points (21) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Assists (14) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Goals (7) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Penalties Minutes (10) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Shots (45) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Points (21) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Assists (14) in 1 Game for New York Rangers!
[2025-10-07 08:12:42] New Record for Team's Most Goals (7) in 1 Game for New York Rangers!
[2025-10-07 08:12:35] TRADE : From Anaheim Ducks to New York Rangers : Tyson Jost (70).
[2025-10-07 08:12:35] TRADE : From New York Rangers to Anaheim Ducks : Garnet Hathaway (75).
[2025-10-07 08:12:32] TRADE : From New York Rangers to Philadelphia Flyers : Erik Haula (76).
[2025-10-07 08:12:32] TRADE : From Philadelphia Flyers to New York Rangers : Y:2027-RND:3-FLA, Y:2022-RND:0-.
[2025-10-07 08:07:10] TRADE : From Anaheim Ducks to New York Rangers : Tyson Jost (70).
[2025-10-07 08:07:10] TRADE : From New York Rangers to Anaheim Ducks : Garnet Hathaway (75).
[2025-10-07 08:06:57] TRADE : From New York Rangers to Philadelphia Flyers : Erik Haula (76).
[2025-10-07 08:06:57] TRADE : From Philadelphia Flyers to New York Rangers : Y:2026-RND:3-PHI, Y:2022-RND:0-.
[2025-09-27 21:40:42] William Dufour was released.
[2025-09-27 21:40:42] William Dufour retired from New York Rangers
[2025-09-25 16:04:58] TRADE : From Minnesota Wild to New York Rangers : Erik Haula (76).
[2025-09-25 16:04:58] TRADE : From New York Rangers to Minnesota Wild : Y:2026-RND:2-NYR.
[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