Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Please rotate your device to landscape mode for a better experience.
Connexion

New York Rangers
GP: 57 | W: 39 | L: 15 | OTL: 3 | P: 81
GF: 214 | GA: 161 | PP%: 27.17% | PK%: 80.73%
DG: Alexandre Gagné | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #924 vs Philadelphia Flyers

Centre de jeu
New York Rangers
39-15-3, 81pts
6
FINAL
0 Pittsburgh Penguins
24-25-7, 55pts
Team Stats
L1SéquenceOTL1
18-5-2Fiche domicile13-10-5
21-10-1Fiche visiteur11-15-2
8-2-0Derniers 10 matchs4-4-2
3.75Buts par match 3.27
2.82Buts contre par match 3.59
27.17%Pourcentage en avantage numérique17.46%
80.73%Pourcentage en désavantage numérique77.09%
Carolina Hurricanes
39-14-4, 82pts
6
FINAL
4 New York Rangers
39-15-3, 81pts
Team Stats
W2SéquenceL1
25-3-3Fiche domicile18-5-2
14-11-1Fiche visiteur21-10-1
7-1-2Derniers 10 matchs8-2-0
3.89Buts par match 3.75
3.09Buts contre par match 2.82
27.50%Pourcentage en avantage numérique27.17%
78.16%Pourcentage en désavantage numérique80.73%
Philadelphia Flyers
21-26-9, 51pts
2026-02-26
New York Rangers
39-15-3, 81pts
Statistiques d’équipe
W2SéquenceL1
13-13-3Fiche domicile18-5-2
8-13-6Fiche visiteur21-10-1
3-6-110 derniers matchs8-2-0
2.88Buts par match 3.75
3.57Buts contre par match 3.75
18.50%Pourcentage en avantage numérique27.17%
78.73%Pourcentage en désavantage numérique80.73%
Pittsburgh Penguins
24-25-7, 55pts
2026-02-28
New York Rangers
39-15-3, 81pts
Statistiques d’équipe
OTL1SéquenceL1
13-10-5Fiche domicile18-5-2
11-15-2Fiche visiteur21-10-1
4-4-210 derniers matchs8-2-0
3.27Buts par match 3.75
3.59Buts contre par match 3.75
17.46%Pourcentage en avantage numérique27.17%
77.09%Pourcentage en désavantage numérique80.73%
Columbus Blue Jackets
34-18-5, 73pts
2026-03-02
New York Rangers
39-15-3, 81pts
Statistiques d’équipe
W8SéquenceL1
19-8-1Fiche domicile18-5-2
15-10-4Fiche visiteur21-10-1
9-1-010 derniers matchs8-2-0
3.67Buts par match 3.75
3.32Buts contre par match 3.75
22.56%Pourcentage en avantage numérique27.17%
77.84%Pourcentage en désavantage numérique80.73%
Meneurs d'équipe
Nathan MacKinnonButs
Nathan MacKinnon
27
Mike MathesonPasses
Mike Matheson
44
Nathan MacKinnonPoints
Nathan MacKinnon
59
Mark ScheifelePlus/Moins
Mark Scheifele
19
Andrei VasilevskiyVictoires
Andrei Vasilevskiy
28
Andrei VasilevskiyPourcentage d’arrêts
Andrei Vasilevskiy
0.903

Statistiques d’équipe
Buts pour
214
3.75 GFG
Tirs pour
1809
31.74 Avg
Pourcentage en avantage numérique
27.2%
50 GF
Début de zone offensive
41.2%
Buts contre
161
2.82 GAA
Tirs contre
1624
28.49 Avg
Pourcentage en désavantage numérique
80.7%%
37 GA
Début de la zone défensive
38.9%
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
Assistance18,167
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 jour44,477,654$
Dépenses annuelles à ce jour69,068,336$
Revenus de la saison estimés28,465,699$
Dépenses de la saison estimées26,324,464$
Compte bancaire actuel6,586,645$
Compte bancaire projeté10,950,454$


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 MathesonX100.007052708679928986408173928184790508203154,875,000$
14Travis SanheimX100.007141738386948885407875938179690508202956,250,000$
15Brent BurnsX100.006643837385898986407973837798880508004011,000,000$
16Neal PionkX100.007547698876918684407975878379690508003057,000,000$
17Brandon MontourX100.007057668278908889407982758482720507903157,142,857$
18Jackson LaCombeX100.00704283858590778140767585805950050780255925,000$
Rayé
Équipe Mineure
1Justin DowlingX100.00654182716577796769646163667767050670352775,000$
2Brennan OthmannX99.00654274717474656642636060665550050640231863,333$
3Matthew StienburgX100.00635665707169616341585861635150050620251775,000$
4Dominik ShineX100.00535160645972716444635655626558050610321775,000$
5Danila KlimovichX100.00664465656762606243565961625050050600231833,333$
6Joakim KemellX100.00604269666461586344615954635050050600212886,667$
7Brad LambertX100.00564269656361586444635552615050050590222886,667$
8Reid SchaeferX100.00684266607259565942555460585050050590222886,667$
9Drew HellesonX100.007151677179777269406563716856500506902421,100,000$
10Marc Del GaizoX100.00704676747177707040666273695650050690261775,000$
11Adam WilsbyX100.00634178747378646740626170675250050670252775,000$
12Phil KempX100.00654566656767666240545668615450050630272775,000$
13Artem DudaX100.00634169676262616240615765625050050620212950,000$
14Nate ClurmanX100.00634270656566635840535367585550050620271775,000$
15Hunter BrzustewiczX100.00594169646260586240625664615050050610212950,000$
16Mikulas HovorkaX100.00644264606863626040555564585150050610241950,000$
17Marek AlscherX100.00614263626361595840555561585050050590212865,000$
18David GoyetteX100.00594167625861595841575559585050050580212891,667$
19Tyler BoucherX100.00634366596762605841525354565050050570231863,333$
20Aidan FulpX100.005941715968646257405352585652500505902500$
MOYENNE D’ÉQUIPE99.9767467273737775734868677071676205070
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 Vasilevskiy100.00929496929493939292948785780508503137,125,000$
2Jonas Johansson100.00817979898179777878817471640507303021,250,000$
Rayé
Équipe Mineure
1Brandon Halverson100.0072666871707172717170675952050650291775,000$
2T.J. Semptimphelter100.00595757635856555455585451500505302300$
MOYENNE D’ÉQUIPE100.007674757976757474747671676105069
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
1Nathan MacKinnonNew York RangersC56273259131610451301614410416.77%7104418.6431316311480003126151.47%129200001.1322101651
2Mike MathesonNew York RangersD57104454155610868099396410.10%100137724.1771320501510000141320%000000.7800002424
3Brandon MontourNew York RangersD571637531553513441106355315.09%64121021.2461117531480001166200%000100.8800010425
4Mark ScheifeleNew York RangersC57192948194010701181624912011.73%5101617.8441014281470001172150.66%127900100.9402101324
5Lucas RaymondNew York RangersLW/RW57202747156033741735511711.56%399517.47841227148000002236.47%8500000.9400000162
6Brad MarchandNew York RangersC/LW/RW571529441530010655154431209.74%7103318.1441014341480000262034.34%9900000.8501000315
7Filip ForsbergNew York RangersLW57152742928011758155441159.68%8103018.087714471530001206149.12%11400000.8201000125
8Neal PionkNew York RangersD571329421556012859112368511.61%71138224.264913461510110151220%000000.6100000200
9Zach HymanNew York RangersLW/RW5720214181004653133319915.04%8102618.004913291530000193036.25%8000000.8001000503
10Travis SanheimNew York RangersD575333810480895248242310.42%4982814.540000200002010%000000.9200000412
11Brent BurnsNew York RangersD57527321120045628127556.17%71119921.05347401490000159100%000000.5300000221
12Frank VatranoNew York RangersLW/RW571392202208752122419310.66%1085515.010000710141353052.94%8500000.5100000311
13Jackson LaCombeNew York RangersD57514191024058314173012.20%4786715.2300012000039100%000000.4400000000
14Jake EvansNew York RangersC/RW5791019-1100271199517499.47%1785314.970000100011452054.05%106200000.4500000120
15Casey CizikasNew York RangersC/LW5669151214046603573517.14%85189.260000101121442057.34%65400000.5800000100
16Mark JankowskiNew York RangersC/RW5776131320121039132217.95%43756.5900000000001150.00%2800000.6900000011
17Logan O'ConnorNew York RangersRW575712-14041517811646.41%684314.790000000021380043.86%5700000.2800000020
18Tyson JostNew York RangersC/LW/RW57325116019121651218.75%13546.2300000000000044.00%5000000.2800000001
19Joakim KemellHartford Wolf Pack (NYR)RW1000-100000000%066.35000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne102521339260518844535118911171810528126011.77%4861682116.4150901403861518123151319381151.56%488600200.7227214402935
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 Rangers44281130.9032.7425654311712100200.60054313140
2Jonas JohanssonNew York Rangers1611400.8962.9587421434140001.00031442101
Statistiques d’équipe totales ou en moyenne60391530.9012.79343964160162402085755241


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$1,966,797$7,125,000$1,966,797$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$1,449,219$5,250,000$1,449,219$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$1,971,726$7,142,857$1,971,726$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$276,042$1,000,000$276,042$No---------------------------Lien NHL
Casey CizikasNew York RangersC/LW341991-02-27CANNo194 Lbs5 ft11NoNoTrade2025-10-09NoNo22025-10-09FalseFalsePro & Farm1,250,000$345,052$1,250,000$345,052$No1,250,000$--------1,250,000$--------No--------Lien NHL
Filip ForsbergNew York RangersLW311994-08-13SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$2,346,354$8,500,000$2,346,354$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$1,261,839$4,571,189$1,261,839$No4,571,189$4,571,189$-------4,571,189$4,571,189$-------NoNo-------Lien NHL
Jackson LaCombeNew York RangersD252001-01-09USANo205 Lbs6 ft2NoNoTrade2025-09-20NoNo52025-10-03FalseFalsePro & Farm925,000$255,339$925,000$255,339$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$786,719$2,850,000$786,719$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 ManuallyNoYes22025-06-29FalseFalsePro & Farm1,250,000$345,052$1,250,000$345,052$No1,250,000$--------1,250,000$--------No--------Lien NHL
Logan O'ConnorNew York RangersRW291996-08-14USANo175 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm2,500,000$690,104$2,500,000$690,104$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$2,229,036$8,075,000$2,229,036$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$220,833$800,000$220,833$No---------------------------Lien NHL
Mark ScheifeleNew York RangersC321993-03-15CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$2,346,354$8,500,000$2,346,354$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 ManuallyNoNo52025-12-03FalseFalsePro & Farm4,875,000$1,345,703$4,875,000$1,345,703$No6,000,000$6,000,000$6,000,000$6,000,000$-----6,000,000$6,000,000$6,000,000$6,000,000$-----NoNoNoNo-----Lien NHL
Nathan MacKinnonNew York RangersC301995-09-01CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm12,600,000$3,478,125$12,600,000$3,478,125$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$1,932,292$7,000,000$1,932,292$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$1,725,260$6,250,000$1,725,260$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$213,932$775,000$213,932$No---------------------------Lien NHL
Zach HymanNew York RangersLW/RW331992-06-09CANNo206 Lbs6 ft1NoNoTrade2025-09-15NoNo32025-09-15FalseFalsePro & Farm4,125,000$1,138,672$4,125,000$1,138,672$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
2030.70202 Lbs6 ft13.754,768,202$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
95,364,046$101,989,046$99,489,046$83,667,857$80,817,857$



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
1Anaheim Ducks220000001257110000005411100000071641.000122335006330713124160621912386233.33%6183.33%01022200151.07%1004188653.23%50396452.18%453149132412
2Boston Bruins31200000810-2110000004312020000047-320.333814220042208532272601023316557228.57%7528.57%01022200151.07%1004188653.23%50396452.18%704972203617
3Buffalo Sabres20002000972100010003211000100065141.00091827003222572317125742814556233.33%70100.00%01022200151.07%1004188653.23%50396452.18%503549152512
4Calgary Flames11000000752000000000001100000075221.000714210023203615714028201225100.00%6183.33%01022200151.07%1004188653.23%50396452.18%2315247126
5Carolina Hurricanes413000001117-6211000008802020000039-620.250112031005420104293441013831528410220.00%15286.67%01022200151.07%1004188653.23%50396452.18%916399274824
6Chicago Blackhawks11000000303000000000001100000030321.00036901012034516130144212000%10100.00%01022200151.07%1004188653.23%50396452.18%3022166137
7Colorado Avalanche20200000610-41010000034-11010000036-300.00061016002400531526120642416516116.67%8275.00%01022200151.07%1004188653.23%50396452.18%463349132311
8Columbus Blue Jackets1000010012-1000000000001000010012-110.5001230001002911143152141618000%80100.00%01022200151.07%1004188653.23%50396452.18%2214287126
9Dallas Stars11000000321110000003210000000000021.00036900210035141110020910214125.00%5180.00%01022200151.07%1004188653.23%50396452.18%2618216126
10Detroit Red Wings210000016601000000134-11100000032130.75061016002131501610209601116465240.00%8187.50%01022200151.07%1004188653.23%50396452.18%493449142613
11Edmonton Oilers2010010057-21000010034-11010000023-110.25051015001310642520181632012508112.50%6183.33%01022200151.07%1004188653.23%50396452.18%513744132613
12Florida Panthers1010000012-1000000000001010000012-100.00012300010023610702671418600.00%7271.43%01022200151.07%1004188653.23%50396452.18%2417227126
13Los Angeles Kings11000000532000000000001100000053221.000581300311036171270313618300.00%3166.67%01022200151.07%1004188653.23%50396452.18%2517226126
14Minnesota Wild10001000211100010002110000000000021.0002460010013011973208022200.00%000%01022200151.07%1004188653.23%50396452.18%2619217136
15Montreal Canadiens22000000853110000003121100000054141.0008152300332062202418046181245700.00%6266.67%01022200151.07%1004188653.23%50396452.18%493443132613
16Nashville Predators2020000049-51010000025-31010000024-200.0004711001120651425260551212418112.50%6183.33%01022200151.07%1004188653.23%50396452.18%523844132211
17New York Islanders42101000161152200000010552010100066060.750163046007441129433748113129399815640.00%16381.25%11022200151.07%1004188653.23%50396452.18%996990285025
18Ottawa Senators21000010963100000104311100000053241.00091625003231652417215551716414125.00%8275.00%01022200151.07%1004188653.23%50396452.18%523544142814
19Philadelphia Flyers21001000734100010002111100000052341.00071421003121792525227491414439333.33%70100.00%01022200151.07%1004188653.23%50396452.18%543943132513
20Pittsburgh Penguins33000000185131100000072522000000113861.00018355301756010327364007233266312650.00%11190.91%01022200151.07%1004188653.23%50396452.18%755466203719
21San Jose Sharks220000001284110000005321100000075241.00012172900345061241720055176375480.00%3166.67%01022200151.07%1004188653.23%50396452.18%513842132512
22Seattle Kraken220000001165110000004221100000074341.0001122330034407725331904214133311436.36%30100.00%01022200151.07%1004188653.23%50396452.18%503545152412
23St. Louis Blues22000000624110000005231100000010141.0006121801312065182423046146366350.00%3166.67%01022200151.07%1004188653.23%50396452.18%523742122513
24Tampa Bay Lightning211000006511010000023-11100000042220.500691500222055112420053182236400.00%11372.73%01022200151.07%1004188653.23%50396452.18%503544132412
25Toronto Maple Leafs1010000028-6000000000001010000028-600.00023500101035910160511310134125.00%5180.00%01022200151.07%1004188653.23%50396452.18%2315247125
26Utah Mammoth22000000927110000004131100000051441.000918270042308524204105011104310330.00%5260.00%01022200151.07%1004188653.23%50396452.18%513643142512
27Vancouver Canucks21001000752100010005411100000021141.00071219001321601617234531521434125.00%5180.00%01022200151.07%1004188653.23%50396452.18%554041132613
28Vegas Golden Knights211000007611010000034-11100000042220.5007142100043053112616052152536500.00%10280.00%01022200151.07%1004188653.23%50396452.18%453250132311
29Washington Capitals3300000013310110000005052200000083561.00013223501634010831265106015217016425.00%60100.00%01022200151.07%1004188653.23%50396452.18%825959213720
Total57321506211214161532513504111956827321910021001199326810.711214393607047866638180957259861036162448645111911845027.17%1923780.73%11022200151.07%1004188653.23%50396452.18%143110131301395716364
_Since Last GM Reset57321506211214161532513504111956827321910021001199326810.711214393607047866638180957259861036162448645111911845027.17%1923780.73%11022200151.07%1004188653.23%50396452.18%143110131301395716364
_Vs Conference3216904111115902513720201151321919970210064586440.688115210325024631336984307311345289692812886851052927.62%1222281.97%11022200151.07%1004188653.23%50396452.18%797559739224405206
_Vs Division17104021006641257510100032161610530110034259250.735661231890228181825521661722059502136168376622133.87%63690.48%11022200151.07%1004188653.23%50396452.18%426301387118212109

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5781L121439360718091624486451119104
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5732156211214161
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2513541119568
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321910210011993
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
1845027.17%1923780.73%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
572598610367866638
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
1022200151.07%1004188653.23%50396452.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
143110131301395716364


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-10-072Pittsburgh Penguins2New York Rangers7WSommaire du match
3 - 2025-10-099New York Rangers6Buffalo Sabres5WXSommaire du match
5 - 2025-10-1129New York Rangers5Pittsburgh Penguins3WSommaire du match
6 - 2025-10-1238Washington Capitals0New York Rangers5WSommaire du match
8 - 2025-10-1451Edmonton Oilers4New York Rangers3LXSommaire du match
10 - 2025-10-1661New York Rangers2Toronto Maple Leafs8LSommaire du match
12 - 2025-10-1880New York Rangers5Montreal Canadiens4WSommaire du match
14 - 2025-10-2093Minnesota Wild1New York Rangers2WXSommaire du match
17 - 2025-10-23116San Jose Sharks3New York Rangers5WSommaire du match
20 - 2025-10-26146New York Rangers7Calgary Flames5WSommaire du match
22 - 2025-10-28163New York Rangers2Vancouver Canucks1WSommaire du match
24 - 2025-10-30175New York Rangers2Edmonton Oilers3LSommaire du match
26 - 2025-11-01193New York Rangers7Seattle Kraken4WSommaire du match
29 - 2025-11-04206Carolina Hurricanes2New York Rangers4WSommaire du match
32 - 2025-11-07227New York Rangers3Detroit Red Wings2WSommaire du match
33 - 2025-11-08237New York Islanders3New York Rangers5WSommaire du match
35 - 2025-11-10253Nashville Predators5New York Rangers2LSommaire du match
37 - 2025-11-12265New York Rangers4Tampa Bay Lightning2WSommaire du match
40 - 2025-11-15290New York Rangers1Columbus Blue Jackets2LXSommaire du match
41 - 2025-11-16299Detroit Red Wings4New York Rangers3LXXSommaire du match
43 - 2025-11-18313New York Rangers4Vegas Golden Knights2WSommaire du match
45 - 2025-11-20326New York Rangers3Colorado Avalanche6LSommaire du match
47 - 2025-11-22344New York Rangers5Utah Mammoth1WSommaire du match
49 - 2025-11-24355St. Louis Blues2New York Rangers5WSommaire du match
51 - 2025-11-26368New York Rangers2Carolina Hurricanes6LSommaire du match
53 - 2025-11-28376New York Rangers1Boston Bruins3LSommaire du match
54 - 2025-11-29391Tampa Bay Lightning3New York Rangers2LSommaire du match
57 - 2025-12-02415Dallas Stars2New York Rangers3WSommaire du match
59 - 2025-12-04427New York Rangers5Ottawa Senators3WSommaire du match
61 - 2025-12-06441Colorado Avalanche4New York Rangers3LSommaire du match
62 - 2025-12-07458Vegas Golden Knights4New York Rangers3LSommaire du match
65 - 2025-12-10476New York Rangers3Chicago Blackhawks0WSommaire du match
68 - 2025-12-13500Montreal Canadiens1New York Rangers3WSommaire du match
70 - 2025-12-15515Anaheim Ducks4New York Rangers5WSommaire du match
71 - 2025-12-16523Vancouver Canucks4New York Rangers5WXSommaire du match
73 - 2025-12-18541New York Rangers1St. Louis Blues0WSommaire du match
75 - 2025-12-20549Philadelphia Flyers1New York Rangers2WXSommaire du match
76 - 2025-12-21567New York Rangers2Nashville Predators4LSommaire du match
78 - 2025-12-23576New York Rangers5Washington Capitals2WSommaire du match
82 - 2025-12-27588New York Rangers4New York Islanders3WXSommaire du match
84 - 2025-12-29608New York Rangers1Carolina Hurricanes3LSommaire du match
86 - 2025-12-31622New York Rangers3Washington Capitals1WSommaire du match
88 - 2026-01-02641New York Rangers1Florida Panthers2LSommaire du match
91 - 2026-01-05662Utah Mammoth1New York Rangers4WSommaire du match
94 - 2026-01-08685Buffalo Sabres2New York Rangers3WXSommaire du match
96 - 2026-01-10697New York Rangers3Boston Bruins4LSommaire du match
98 - 2026-01-12718Seattle Kraken2New York Rangers4WSommaire du match
100 - 2026-01-14737Ottawa Senators3New York Rangers4WXXSommaire du match
103 - 2026-01-17755New York Rangers5Philadelphia Flyers2WSommaire du match
105 - 2026-01-19779New York Rangers7Anaheim Ducks1WSommaire du match
106 - 2026-01-20787New York Rangers5Los Angeles Kings3WSommaire du match
109 - 2026-01-23808New York Rangers7San Jose Sharks5WSommaire du match
112 - 2026-01-26826Boston Bruins3New York Rangers4WSommaire du match
114 - 2026-01-28842New York Rangers2New York Islanders3LSommaire du match
115 - 2026-01-29849New York Islanders2New York Rangers5WSommaire du match
117 - 2026-01-31861New York Rangers6Pittsburgh Penguins0WSommaire du match
122 - 2026-02-05906Carolina Hurricanes6New York Rangers4LSommaire du match
143 - 2026-02-26924Philadelphia Flyers-New York Rangers-
145 - 2026-02-28934Pittsburgh Penguins-New York Rangers-
147 - 2026-03-02953Columbus Blue Jackets-New York Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2026-03-05975Toronto Maple Leafs-New York Rangers-
152 - 2026-03-07991New York Rangers-New Jersey Devils-
154 - 2026-03-091008New York Rangers-Philadelphia Flyers-
155 - 2026-03-101017Calgary Flames-New York Rangers-
157 - 2026-03-121036New York Rangers-Winnipeg Jets-
159 - 2026-03-141046New York Rangers-Minnesota Wild-
161 - 2026-03-161065Los Angeles Kings-New York Rangers-
163 - 2026-03-181077New Jersey Devils-New York Rangers-
164 - 2026-03-191086New York Rangers-Columbus Blue Jackets-
167 - 2026-03-221110Winnipeg Jets-New York Rangers-
168 - 2026-03-231119Ottawa Senators-New York Rangers-
170 - 2026-03-251136New York Rangers-Toronto Maple Leafs-
172 - 2026-03-271151Chicago Blackhawks-New York Rangers-
174 - 2026-03-291167Florida Panthers-New York Rangers-
176 - 2026-03-311182New Jersey Devils-New York Rangers-
178 - 2026-04-021195Montreal Canadiens-New York Rangers-
180 - 2026-04-041207Detroit Red Wings-New York Rangers-
181 - 2026-04-051227Washington Capitals-New York Rangers-
184 - 2026-04-081244Buffalo Sabres-New York Rangers-
187 - 2026-04-111268New York Rangers-Dallas Stars-
189 - 2026-04-131283New York Rangers-Florida Panthers-
191 - 2026-04-151302New York Rangers-Tampa Bay Lightning-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance143,624119,12747,88895,53947,993
Attendance PCT95.75%95.30%95.78%95.54%95.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 18167 - 95.61% 1,779,106$44,477,654$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
69,068,336$ 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$ 69,068,336$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
28,465,699$ 53 496,688$ 26,324,464$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
26,692,152$ 6,586,645$ 10,950,454$
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:23PO: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:22PO: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:23PO:0OV:60
Joakim KemellAGE:21PO:0OV:60
Tyler BoucherAGE:23PO: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:25PO:0OV:78
Drew HellesonAGE:24PO:0OV:69
Marc Del GaizoAGE:26PO:0OV:69
Adam WilsbyAGE:25PO:0OV:67
Phil KempAGE:27PO:0OV:63
Artem DudaAGE:21PO:0OV:62
Nate ClurmanAGE:27PO:0OV:62
Hunter BrzustewiczAGE:21PO: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

[2026-02-05 08:07:17] New Record for Team's Most Penalties Minutes (25) in 1 Game for New York Rangers!
[2025-12-23 08:00:54] New Record for Team's Most Shots (50) in 1 Game for New York Rangers!
[2025-12-06 08:42:12] New Record for Team's Most Hits (31) in 1 Game for New York Rangers!
[2025-11-22 09:49:58] New Record for Team's Most Shots (46) in 1 Game for New York Rangers!
[2025-11-18 08:03:17] New Record for Team's Most Penalties Minutes (19) in 1 Game for New York Rangers!
[2025-11-15 09:00:34] New Record for Team's Most Penalties Minutes (16) in 1 Game for New York Rangers!
[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