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New York Rangers
GP: 11 | W: 5 | L: 3 | OTL: 3 | P: 17
GF: 27 | GA: 28 | PP%: 22.92% | PK%: 82.86%
DG: Corey | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #167 vs Montreal Canadiens

Centre de jeu
New York Rangers
5-3-3, 17pts
3
2 Anaheim Mighty Ducks
6-3-2, 18pts
Team Stats
W3SéquenceL2
1-2-2Fiche domicile3-3-1
4-1-1Fiche visiteur3-0-1
5-3-2Derniers 10 matchs5-3-2
2.45Buts par match 3.36
2.55Buts contre par match 3.00
22.92%Pourcentage en avantage numérique28.95%
82.86%Pourcentage en désavantage numérique84.62%
New York Rangers
5-3-3, 17pts
2
1 Toronto Maple Leafs
5-5-1, 12pts
Team Stats
W3SéquenceL1
1-2-2Fiche domicile1-2-1
4-1-1Fiche visiteur4-3-0
5-3-2Derniers 10 matchs4-5-1
2.45Buts par match 2.36
2.55Buts contre par match 2.64
22.92%Pourcentage en avantage numérique20.59%
82.86%Pourcentage en désavantage numérique87.10%
Montreal Canadiens
7-3-1, 22pts
Jour 27
New York Rangers
5-3-3, 17pts
Statistiques d’équipe
SOL1SéquenceW3
4-3-0Fiche domicile1-2-2
3-0-1Fiche visiteur4-1-1
7-2-110 derniers matchs5-3-2
3.82Buts par match 2.45
3.18Buts contre par match 2.45
26.32%Pourcentage en avantage numérique22.92%
82.86%Pourcentage en désavantage numérique82.86%
New York Rangers
5-3-3, 17pts
Jour 30
Hamilton Mustangs
7-3-1, 21pts
Statistiques d’équipe
W3SéquenceW6
1-2-2Fiche domicile5-1-0
4-1-1Fiche visiteur2-2-1
5-3-210 derniers matchs7-2-1
2.45Buts par match 3.27
2.55Buts contre par match 3.27
22.92%Pourcentage en avantage numérique20.51%
82.86%Pourcentage en désavantage numérique78.38%
Quebec Nordiques
5-5-1, 16pts
Jour 33
New York Rangers
5-3-3, 17pts
Statistiques d’équipe
W1SéquenceW3
3-3-1Fiche domicile1-2-2
2-2-0Fiche visiteur4-1-1
5-4-110 derniers matchs5-3-2
3.09Buts par match 2.45
3.27Buts contre par match 2.45
21.43%Pourcentage en avantage numérique22.92%
80.65%Pourcentage en désavantage numérique82.86%
Meneurs d'équipe
Buts
Mika Zibanejad
5
Passes
Patrik Laine
6
Points
Mika Zibanejad
9
Plus/Moins
Derrick Pouliot
3
Victoires
Martin Jones
5
Pourcentage d’arrêts
Martin Jones
0.925

Statistiques d’équipe
Buts pour
27
2.45 GFG
Tirs pour
356
32.36 Avg
Pourcentage en avantage numérique
22.9%
11 GF
Début de zone offensive
39.8%
Buts contre
28
2.55 GAA
Tirs contre
326
29.64 Avg
Pourcentage en désavantage numérique
82.9%%
6 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralCorey
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomMadison Square Garden
Capacité18,000
Assistance15,713
Billets de saison7,740


Informations de la formation

Équipe Pro22
Équipe Mineure27
Limite contact 49 / 250
Espoirs99


Finance

Revenu annuel à ce jour5,684,387$
Dépenses annuelles à ce jour12,749,510$
Revenus de la saison estimés39,790,709$
Dépenses de la saison estimées82,953,634$
Compte bancaire actuel157,358,686$
Compte bancaire projeté115,401,331$


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
1Mika Zibanejad0X100.00894988907191969199869073828083554082N032213,000,000$
2Clayton Keller0X100.0067358899559799907690906588737455408102637,366,667$
3Mikko Rantanen0X100.0074528381859090917490907483777355408102815,910,000$
4Patrik Laine0X100.00915187868094929072909067877481554081027210,000,000$
5Dylan Strome0X100.0063508984778991848987907079777955407902814,900,000$
6Tage Thompson0X100.0071578079959192857980917085748255407902725,910,000$
7Filip Chytil0X100.0070558585809090838383837282717555407802545,910,000$
8Gabriel Vilardi0X100.0067548690809090839485847180717055407802545,910,000$
9Tomas Hertl0X100.0081508476809090789481837274808155407703121,670,000$
10Alexis Lafreniere (R)0X100.0080428080808787696076716271687855407102332,000,000$
11Matvei Michkov (R)0X100.0053357897588679766778785580606055407102032,000,000$
12Jimmy Vesey0X100.007746756972828466706869676880785540690321625,000$
13Nikita Zadorov0X100.00996291789999997674826888667985554083N03032,000,000$
14Evan Bouchard0X100.0066458695809299825093738976737955408202513,825,000$
15Sami Niku0X100.0060389099778988775681758477777755407902814,900,000$
16Brady Skjei0X100.0090517774918990745082657568808055407603123,000,000$
17Brian Dumoulin0X100.0068498968958790707072648062818555407503313,000,000$
18Derrick Pouliot0X100.0055479174807882715074667865807555407203121,600,000$
Rayé
1Rem Pitlick0X100.005446777765808969717369717177625540690282624,000$
2Victor Mete0X100.005444838268798170507261786574765540710272500,000$
Équipe Mineure
1Joel L'Esperance0X99.006353736281727464666267696578655540650291624,000$
2Joseph Cramarossa0X100.008546647070727061606365656580595540650322500,000$
3Daniel Catenacci0X100.005719816865747261606465676472675540640321625,000$
4Nicholas Abruzzese0X100.005435798055677560605860706570675540640261500,000$
5Seth Griffith0X100.005846747159747162626764646480645540640321625,000$
6Noah Philp0X100.005142776975666660686159656275755540630261500,000$
7Ben Jones0X100.005850717266656560685659656275755540620261500,000$
8Ben Meyers0X100.005042747070646460685659686275755540620261500,000$
9Mike Vecchione0X100.005443756949666161755861666280635540610321625,000$
10Tye Felhaber0X100.005040797361585855505659686175755540610261500,000$
11Uvis Balinskis0X99.006644787272718063506460725977685540680282500,000$
12Andrei Mironov0X100.007215578168656464506560686366617940660301500,000$
13Ben Hutton0X100.005355696886747861506459685780685540660321625,000$
14Gustav Olofsson0X100.005346717363687066506962726079685540660303500,000$
15Jimmy Schuldt0X100.005145846882676760505659675679895540650301500,000$
16Ryan Sproul0X100.005149776785696962506560655680745540650321625,000$
17Tyler Lewington0X100.007772397470606060505659665876627540640301500,000$
18Brady Keeper0X99.005215847855646359505659695963588540620291624,000$
19Ronalds Kenins0X100.008148716571757463606765656582705540660341500,000$
20Oskar Back0X100.005347826680777760746562646273835540650253600,000$
21Joachim Blichfeld0X92.715110357865645760505661716562579040620261500,000$
22Radim Simek0X90.628649786976787768507065696180815540710321625,000$
MOYENNE D’ÉQUIPE99.53664578777478797064716970687573584070
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
1Martin Jones096.008175758683848583838483846955408003515,000,000$
2Sergei Bobrovsky0100.008183838281848481818482857055407903615,000,000$
Rayé
Équipe Mineure
1JUHA JATKOLA0100.00816060767873747777747562565240710221250,000$
2HUNTER SHEPARD098.00666060727476777777767770595040700291259,000$
3Andrey Makarov0100.00805858807673747677737478648440720321625,000$
4JACOB JOHANSSON0100.00526060787475767474757476645240700311259,000$
5JOEL LASSINANTTI0100.00626060687676777575767578645240700321258,000$
MOYENNE D’ÉQUIPE99.1472656577777778787877777664574073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mika ZibanejadNew York RangersC11549-12028253972512.82%522920.912465400000100051.49%26874000.7801000101
2Patrik LaineNew York RangersRW11268-6603011317216.45%019918.10235336000332055.56%953000.8012000010
3Clayton KellerNew York RangersLW11167-2201073315253.03%420218.39134436000051012.50%8172000.6912000001
4Gabriel VilardiNew York RangersC114370609182961213.79%314913.5900001000041050.48%10533000.9400000100
5Mikko RantanenNew York RangersLW11246-44014233618305.56%821319.421347380001260060.00%1542000.5600000011
6Tomas HertlNew York RangersC1123502013161410514.29%415414.020111130000280052.03%12347000.6500000010
7Evan BouchardNew York RangersD11224-6401427221269.09%1229426.74213437000026000%0510000.2700000010
8Filip ChytilNew York RangersLW11134213513102210134.55%213111.92000000001110060.00%571000.6100100000
9Matvei MichkovNew York RangersRW11224-2120772062310.00%115714.33112420000000044.44%972000.5100000000
10Tage ThompsonNew York RangersRW1130310018132591812.00%616915.41101118000000037.50%842000.3500000002
11Brian DumoulinNew York RangersD110222207127520%719117.4301103000018000%007000.2100000000
12Derrick PouliotNew York RangersD110223003158260%913812.5501142200006000%014000.2900000000
13Nikita ZadorovNew York RangersD11022-5752824168120%730727.97000543000032000%016000.1300100000
14Alexis LafreniereNew York RangersLW1110106013014247.14%111510.540000000009010%223000.1700000000
15Brady SkjeiNew York RangersD11101-460292316476.25%1825022.76101332000022000%019000.0800000100
16Dylan StromeNew York RangersC11011-440519168110%116214.740001200001150048.78%12332000.1200000000
17Brady KeeperIowa Heartlanders (NYR)D1000000010010%177.150000000000000%00000000000000
18Jimmy VeseyNew York RangersLW7000000710100%0547.770000000000000%00100000000000
19Rem PitlickNew York RangersC3000000000000%010.610000000000000%00000000000000
20Sami NikuNew York RangersD6000040177320%510016.8200001200009000%00400000000000
21Victor MeteNew York RangersD5000000051000%1418.200000000001000%00100000000000
Statistiques d’équipe totales ou en moyenne198264066-2680102492643561332237.30%95327216.531118294237900062314150.37%6757173000.4025200345
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
1Martin JonesNew York Rangers95220.9252.285270020268121000.500692110
2Sergei BobrovskyNew York Rangers30110.8792.981410075824000029000
Statistiques d’équipe totales ou en moyenne125330.9172.4266900273261450061111110


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alexis LafreniereNew York RangersLW232001-10-11CANYes195 Lbs6 ft1NoNoDraftNoNo32025-11-02FalseFalsePro & Farm2,000,000$1,734,043$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Brady Skjei (contrat à 1 volet)New York RangersD311994-03-26USANo209 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm3,000,000$2,601,064$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Brian Dumoulin (contrat à 1 volet)New York RangersD331991-09-06USANo207 Lbs6 ft4NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm3,000,000$2,601,064$0$0$No---------------------------Lien
Clayton Keller (contrat à 1 volet)New York RangersLW261998-07-29USANo179 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm7,366,667$6,387,057$0$0$No7,366,667$7,366,667$-------7,366,667$7,366,667$-------NoNo-------Lien
Derrick PouliotNew York RangersD311994-01-16CANNo196 Lbs6 ft0NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,600,000$1,387,234$0$0$No1,600,000$--------1,600,000$--------No--------Lien
Dylan StromeNew York RangersC281997-03-07CANNo201 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,900,000$4,248,404$0$0$No---------------------------Lien
Evan Bouchard (contrat à 1 volet)New York RangersD251999-10-20CANNo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,825,000$3,316,356$0$0$No---------------------------Lien
Filip Chytil (contrat à 1 volet)New York RangersLW251999-09-05CZENo209 Lbs6 ft3NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,910,000$5,124,096$0$0$No5,910,000$5,910,000$5,910,000$------5,910,000$5,910,000$5,910,000$------NoNoNo------Lien
Gabriel Vilardi (contrat à 1 volet)New York RangersC251999-08-16CANNo216 Lbs6 ft3NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,910,000$5,124,096$0$0$No5,910,000$5,910,000$5,910,000$------5,910,000$5,910,000$5,910,000$------NoNoNo------Lien
Jimmy VeseyNew York RangersLW321993-05-26USANo203 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$541,888$0$0$No---------------------------Lien
Martin Jones (contrat à 1 volet)New York RangersG351990-01-10CANNo203 Lbs6 ft5NoNoFree AgentNoNo12025-10-03FalseFalsePro & Farm5,000,000$4,335,106$0$0$No---------------------------Lien
Matvei MichkovNew York RangersRW202004-12-09RUSYes172 Lbs5 ft10NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm2,000,000$1,734,043$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Mika Zibanejad (contrat à 1 volet)New York RangersC321993-04-18SWENo201 Lbs6 ft2YesNoFree AgentNoNo22025-10-10FalseFalsePro Only13,000,000$11,271,277$0$0$No13,000,000$--------13,000,000$--------Yes--------Lien
Mikko Rantanen (contrat à 1 volet)New York RangersLW281996-10-29FINNo216 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm5,910,000$5,124,096$0$0$No---------------------------Lien
Nikita Zadorov (contrat à 1 volet)New York RangersD301995-04-16RUSNo236 Lbs6 ft6YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only2,000,000$1,734,043$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------YesYes-------Lien
Patrik Laine (contrat à 1 volet)New York RangersRW271998-04-19FINNo216 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm10,000,000$8,670,213$0$0$No10,000,000$--------10,000,000$--------No--------Lien
Rem PitlickNew York RangersC281997-04-02CANNo196 Lbs5 ft11NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm624,000$541,021$0$0$No624,000$--------624,000$--------No--------Lien
Sami Niku (contrat à 1 volet)New York RangersD281996-10-10FINNo176 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,900,000$4,248,404$0$0$No---------------------------Lien
Sergei Bobrovsky (contrat à 1 volet)New York RangersG361988-09-20RUSNo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm5,000,000$4,335,106$0$0$No---------------------------Lien
Tage Thompson (contrat à 1 volet)New York RangersRW271997-10-30USANo220 Lbs6 ft6NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm5,910,000$5,124,096$0$0$No5,910,000$--------5,910,000$--------No--------Lien
Tomas HertlNew York RangersC311993-11-12CZENo214 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,670,000$1,447,926$0$0$No1,670,000$--------1,670,000$--------No--------Lien
Victor MeteNew York RangersD271998-06-07CANNo187 Lbs5 ft9NoNoTrade2025-12-17NoNo22025-09-30FalseFalsePro & Farm500,000$433,511$0$0$No500,000$--------500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.55201 Lbs6 ft22.004,302,303$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
94,650,667$61,490,667$25,186,667$11,820,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ChytilMika ZibanejadTage Thompson30014
2Clayton KellerGabriel VilardiPatrik Laine30014
3Mikko RantanenTomas HertlMatvei Michkov30014
4Alexis LafreniereDylan StromeJimmy Vesey10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard40023
2Sami NikuBrady Skjei30023
3Brian DumoulinDerrick Pouliot20023
4Nikita ZadorovEvan Bouchard10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Clayton KellerMika ZibanejadPatrik Laine60005
2Mikko RantanenTomas HertlTage Thompson40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard60014
2Sami NikuBrady Skjei40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas HertlMikko Rantanen60050
2Dylan StromeFilip Chytil40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard60050
2Sami NikuBrady Skjei40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tomas Hertl60050Nikita ZadorovEvan Bouchard60050
2Dylan Strome40050Sami NikuBrady Skjei40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mika ZibanejadPatrik Laine60014
2Tomas HertlClayton Keller40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard60023
2Sami NikuBrady Skjei40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Clayton KellerMika ZibanejadPatrik LaineNikita ZadorovEvan Bouchard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikko RantanenTomas HertlTage ThompsonNikita ZadorovEvan Bouchard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mika Zibanejad, Gabriel Vilardi, Tomas HertlGabriel Vilardi, Dylan StromeGabriel Vilardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Niku, Derrick Pouliot, Brian DumoulinBrian DumoulinDerrick Pouliot, Brian Dumoulin
Tirs de pénalité
Mika Zibanejad, Patrik Laine, Mikko Rantanen, Clayton Keller, Tage Thompson
Gardien
#1 : Martin Jones, #2 : Sergei Bobrovsky
Lignes d’attaque personnalisées en prolongation
Mika Zibanejad, Patrik Laine, Mikko Rantanen, Clayton Keller, Tage Thompson, Dylan Strome, Gabriel Vilardi, Filip Chytil, Tomas Hertl, Matvei Michkov
Lignes de défense personnalisées en prolongation
Nikita Zadorov, Evan Bouchard, Sami Niku, Brady Skjei, Brian Dumoulin


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 Mighty Ducks11000000321000000000001100000032131.0003470021003411131002968276116.67%4175.00%013626351.71%13125651.17%7314251.41%2415208147
2Boston Bruins11000000321000000000001100000032131.000347002100319616029711315240.00%30100.00%013626351.71%13125651.17%7314251.41%2111219168
3Carolina Hurricanes1000010023-1000000000001000010023-110.3332240002003081750268616400.00%30100.00%013626351.71%13125651.17%7314251.41%2111209199
4Florida Panthers1010000034-11010000034-10000000000000.0003580002103051411021136246116.67%3166.67%013626351.71%13125651.17%7314251.41%2314197178
5New Jersey Devils10000010321000000000001000001032120.6673470002012699832844155240.00%20100.00%013626351.71%13125651.17%7314251.41%2515209189
6New York Islanders1010000034-11010000034-10000000000000.0003360002103912141303028196233.33%4175.00%013626351.71%13125651.17%7314251.41%2415208157
7Ottawa Senators1010000012-1000000000001010000012-100.000123000100271386027141719200.00%6183.33%013626351.71%13125651.17%7314251.41%2011229167
8Tampa Bay Lightning1000000112-11000000112-10000000000010.3331120000113991012103812424200.00%20100.00%013626351.71%13125651.17%7314251.41%2113259178
9Toronto Maple Leafs11000000211000000000001100000021131.0002460011003591511041116285120.00%30100.00%013626351.71%13125651.17%7314251.41%2112218168
10Vancouver Canucks11000000431110000004310000000000031.00047110030103615615032116204250.00%3166.67%013626351.71%13125651.17%7314251.41%2415208157
11Vegas Golden Knights1000010023-11000010023-10000000000010.3332460001102989111257426300.00%2150.00%013626351.71%13125651.17%7314251.41%22122010188
Total1143002112728-1512001011316-36310011014122170.5152740670081352356108121118143269580249481122.92%35682.86%013626351.71%13125651.17%7314251.41%2511512329918792
_Since Last GM Reset1143002112728-1512001011316-36310011014122170.5152740670081352356108121118143269580249481122.92%35682.86%013626351.71%13125651.17%7314251.41%2511512329918792
_Vs Conference823001111820-230200001710-35210011011101100.417182543003113225774938213240716217635822.86%26388.46%013626351.71%13125651.17%7314251.41%1791071717213968
_Vs Division612001111517-230200001710-33100011087170.38915193400293219552706513172463912928725.00%17288.24%013626351.71%13125651.17%7314251.41%137831275510552

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1117W3274067356326958024900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
114302112728
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51201011316
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63101101412
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481122.92%35682.86%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
1081211181481352
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
13626351.71%13125651.17%7314251.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2511512329918792


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
16Tampa Bay Lightning2New York Rangers1LXXSommaire du match
319Florida Panthers4New York Rangers3LSommaire du match
535New York Rangers3New Jersey Devils2WXXSommaire du match
747New York Rangers3Boston Bruins2WSommaire du match
961New York Rangers2Carolina Hurricanes3LXSommaire du match
1175New York Islanders4New York Rangers3LSommaire du match
1391New York Rangers1Ottawa Senators2LSommaire du match
16109Vegas Golden Knights3New York Rangers2LXSommaire du match
17115Vancouver Canucks3New York Rangers4WSommaire du match
20133New York Rangers3Anaheim Mighty Ducks2WSommaire du match
24149New York Rangers2Toronto Maple Leafs1WSommaire du match
27167Montreal Canadiens-New York Rangers-
30180New York Rangers-Hamilton Mustangs-
33194Quebec Nordiques-New York Rangers-
36208New York Rangers-Pittsburgh Penguins-
38217New York Rangers-Philadelphia Flyers-
41231Philadelphia Flyers-New York Rangers-
45247Pittsburgh Penguins-New York Rangers-
48260New York Rangers-Quebec Nordiques-
50273Hamilton Mustangs-New York Rangers-
53285New York Rangers-Montreal Canadiens-
55295Toronto Maple Leafs-New York Rangers-
59316California Golden Seals-New York Rangers-
61326New York Rangers-St Louis Blues-
63340New York Rangers-Columbus Blue Jackets-
66361Edmonton Oilers-New York Rangers-
68371New York Rangers-New York Islanders-
69382Carolina Hurricanes-New York Rangers-
71394Boston Bruins-New York Rangers-
73412New Jersey Devils-New York Rangers-
76426New York Rangers-Los Angeles Kings-
78439New York Rangers-San Jose Sharks-
80453New York Rangers-Seattle Kraken-
83466Quebec Nordiques-New York Rangers-
85479New York Rangers-Pittsburgh Penguins-
88492New York Rangers-Philadelphia Flyers-
91509New York Rangers-Winnipeg Jets-
94530Winnipeg Jets-New York Rangers-
96544Colorado Avalanche-New York Rangers-
97551New York Rangers-Colorado Avalanche-
99565Detroit Red Wings-New York Rangers-
101579Chicago Blackhawks-New York Rangers-
103590New York Rangers-Florida Panthers-
106605New York Rangers-Tampa Bay Lightning-
110624Ottawa Senators-New York Rangers-
114643New York Rangers-Toronto Maple Leafs-
117656Montreal Canadiens-New York Rangers-
119664New York Rangers-Hamilton Mustangs-
121676Columbus Blue Jackets-New York Rangers-
123697St Louis Blues-New York Rangers-
125709New York Rangers-California Golden Seals-
128724Anaheim Mighty Ducks-New York Rangers-
129736New York Rangers-Vancouver Canucks-
131750New York Rangers-Vegas Golden Knights-
134761New York Islanders-New York Rangers-
136775Carolina Hurricanes-New York Rangers-
138789New York Rangers-Boston Bruins-
141805New York Rangers-New Jersey Devils-
143816New York Rangers-Edmonton Oilers-
146833Los Angeles Kings-New York Rangers-
148844San Jose Sharks-New York Rangers-
151862Seattle Kraken-New York Rangers-
153871New York Rangers-Detroit Red Wings-
156889New York Rangers-Chicago Blackhawks-
159907New York Rangers-Quebec Nordiques-
161921Pittsburgh Penguins-New York Rangers-
163933Philadelphia Flyers-New York Rangers-
165952Hamilton Mustangs-New York Rangers-
167964New York Rangers-Montreal Canadiens-
169974Toronto Maple Leafs-New York Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172991New York Rangers-New York Islanders-
1741005New York Rangers-Carolina Hurricanes-
1761019Boston Bruins-New York Rangers-
1781036New Jersey Devils-New York Rangers-
1801041Florida Panthers-New York Rangers-
1811055New York Rangers-Florida Panthers-
1831070Tampa Bay Lightning-New York Rangers-
1841084New York Rangers-Tampa Bay Lightning-
1861099New York Rangers-Ottawa Senators-
1871115Ottawa Senators-New York Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance26,55520,6719,10417,0855,149
Attendance PCT89.41%85.07%91.96%86.29%81.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 15713 - 87.29% 1,136,877$5,684,387$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
12,749,510$ 95,676,667$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 12,749,510$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
39,790,709$ 163 508,918$ 82,953,634$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
84,056,818$ 157,358,686$ 115,401,331$



Charte de profondeur

Ailier gaucheCentreAilier droit
Clayton KellerAGE:26PO:55OV:81
Mikko RantanenAGE:28PO:55OV:81
Filip ChytilAGE:25PO:55OV:78
Alexis Lafreniere (R)AGE:23PO:55OV:71
Jimmy VeseyAGE:32PO:55OV:69
Joel L'EsperanceAGE:29PO:55OV:65
Daniel CatenacciAGE:32PO:55OV:64
Nicholas AbruzzeseAGE:26PO:55OV:64
Tye FelhaberAGE:26PO:55OV:61
Mika ZibanejadAGE:32PO:55OV:82
Dylan StromeAGE:28PO:55OV:79
Gabriel VilardiAGE:25PO:55OV:78
Tomas HertlAGE:31PO:55OV:77
Rem PitlickAGE:28PO:55OV:69
Oskar BackAGE:25PO:55OV:65
Noah PhilpAGE:26PO:55OV:63
Ben JonesAGE:26PO:55OV:62
Ben MeyersAGE:26PO:55OV:62
Mike VecchioneAGE:32PO:55OV:61
Patrik LaineAGE:27PO:55OV:81
Tage ThompsonAGE:27PO:55OV:79
Matvei Michkov (R)AGE:20PO:55OV:71
Ronalds KeninsAGE:34PO:55OV:66
Joseph CramarossaAGE:32PO:55OV:65
Seth GriffithAGE:32PO:55OV:64
Joachim BlichfeldAGE:26PO:90OV:62

Défense #1Défense #2Gardien
Nikita ZadorovAGE:30PO:55OV:83
Evan BouchardAGE:25PO:55OV:82
Sami NikuAGE:28PO:55OV:79
Brady SkjeiAGE:31PO:55OV:76
Brian DumoulinAGE:33PO:55OV:75
Derrick PouliotAGE:31PO:55OV:72
Radim SimekAGE:32PO:55OV:71
Victor MeteAGE:27PO:55OV:71
Uvis BalinskisAGE:28PO:55OV:68
Andrei MironovAGE:30PO:79OV:66
Ben HuttonAGE:32PO:55OV:66
Gustav OlofssonAGE:30PO:55OV:66
Jimmy SchuldtAGE:30PO:55OV:65
Ryan SproulAGE:32PO:55OV:65
Tyler LewingtonAGE:30PO:75OV:64
Brady KeeperAGE:29PO:85OV:62
Martin JonesAGE:35PO:55OV:80
Sergei BobrovskyAGE:36PO:55OV:79
Andrey MakarovAGE:32PO:84OV:72
JUHA JATKOLAAGE:22PO:52OV:71
JACOB JOHANSSONAGE:31PO:52OV:70
JOEL LASSINANTTIAGE:32PO:52OV:70
HUNTER SHEPARDAGE:29PO:50OV:70

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
0x LTCsNew York Rangers00
0x RFA Tag (Clayton Keller Y28)New York Rangers00
1 000 000 NSHL25 Waiver BucksNew York Rangers00
1x NSHL26 ODW ClaimNew York Rangers00
37x TC PTSNew York Rangers00
Adam KleberNew York Rangers24710Lien
Alexander RykovNew York Rangers231390Lien
Alexander SuzdalevNew York Rangers221170Lien
Anton WahlbergNew York Rangers23510Lien
Arttu KarkiNew York Rangers23770Lien
Artyum DudaNew York Rangers22980Lien
Atte JokiNew York Rangers251940Lien
Beckett HendricksonNew York Rangers231370Lien
Benjamin RautiainenNew York Rangers25990Lien
Bogdan KonyushkovNew York Rangers231410Lien
Brad GardinerNew York Rangers231110Lien
Bradly NadeauNew York Rangers23300Lien
Brett PollockNew York Rangers14760Lien
Caden PriceNew York Rangers231140Lien
Calum RitchieNew York Rangers23270Lien
Carson BjarnasonNew York Rangers23520Lien
Carson RehkopfNew York Rangers23830Lien
Carter GeorgeNew York Rangers24460Lien
Carter KlippensteinNew York Rangers251450Lien
Charlie CerratoNew York Rangers25420Lien
Charlie TretheweyNew York Rangers25710Lien
Coulson PitreNew York Rangers23970Lien
Danila KlimovichNew York Rangers21380Lien
Dmitri BuchelnikovNew York Rangers22500Lien
Dmitry KuzminNew York Rangers211010Lien
Easton CowanNew York Rangers23420Lien
Elijah NeuenschwanderNew York Rangers25930Lien
Evan FitzpatrickNew York Rangers16810Lien
Felix Unger-SorumNew York Rangers23730Lien
Gabriel EliassonNew York Rangers24900Lien
Gabriel FortierNew York Rangers18680Lien
Hagen BurrowsNew York Rangers241680Lien
Haoxi WangNew York Rangers25360Lien
Ilya NabokovNew York Rangers24350Lien
Ilya ProtasNew York Rangers241130Lien
Ilyas MagomedsultanovNew York Rangers251080Lien
Ivan Tkach-TkachenkoNew York Rangers251160Lien
Jack BerglundNew York Rangers24950Lien
Jacob RombachNew York Rangers25640Lien
Jakub DvorakNew York Rangers231250Lien
Jalen LuypenNew York Rangers221200Lien
James HagensNew York Rangers2540Lien
Jorian DonovanNew York Rangers221210Lien
Joshua RavensbergenNew York Rangers25350Lien
Juha JatkolaNew York Rangers231120Lien
Kaapo KakkoNew York Rangers1920Lien
Kalan LindNew York Rangers23920Lien
Kristian EppersonNew York Rangers25730Lien
Lenni HameenahoNew York Rangers23680Lien
Leo Sahlin-WalleniusNew York Rangers24590Lien
Liam FoudyNew York Rangers18360Lien
Linus ErikssonNew York Rangers24550Lien
Linus FunckNew York Rangers251580Lien
Lirim AmidovskiNew York Rangers251620Lien
Logan MaillouxNew York Rangers21990Lien
Logan SawyerNew York Rangers241270Lien
Maceo PhillipsNew York Rangers251330Lien
Maceo PhillipsNew York Rangers251330Lien
Mads Kongsbak KlyvoNew York Rangers251040Lien
Matle VassNew York Rangers251210Lien
Matthew RobertsonNew York Rangers191120Lien
Matthew WoodNew York Rangers23130Lien
Melvin FernstromNew York Rangers241440Lien
Michael HrabelNew York Rangers23390Lien
Nate DanielsonNew York Rangers23120Lien
Nico MyatovicNew York Rangers23480Lien
Nikita PrishchepovNew York Rangers251170Lien
Oliver BonkNew York Rangers23340Lien
Parker HolmesNew York Rangers251790Lien
Pyotr AndreyanovNew York Rangers25230Lien
Quentin MustyNew York Rangers23280Lien
Rasmus KumpulainenNew York Rangers23710Lien
Roman BausovNew York Rangers251500Lien
Sascha BoumedienneNew York Rangers25310Lien
Sasha PastujovNew York Rangers21300Lien
Scott RatzlaffNew York Rangers231150Lien
Sean BehrensNew York Rangers21620Lien
Shane WrightNew York Rangers2210Lien
Spencer GillNew York Rangers24990Lien
Theodor HallquisthNew York Rangers25660Lien
Tobias BjornfotNew York Rangers19300Lien
Tom WillanderNew York Rangers23200Lien
Trey AugustineNew York Rangers23400Lien
Tristan BertucciNew York Rangers231130Lien
Ty DellandreaNew York Rangers18300Lien
Vashek BlanarNew York Rangers251570Lien
Viggo GustafssonNew York Rangers241230Lien
Vilmer AlrikssonNew York Rangers231190Lien
Will HorcoffNew York Rangers25220Lien
Will SkahanNew York Rangers241030Lien
William ZellersNew York Rangers241190Lien
Y25-MTL-6New York Rangers000Lien
Yegor ZavraginNew York Rangers231010Lien
Zachary DeanNew York Rangers21280Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




New York Rangers Historique de transactions

[2026-02-11 3:02:44 PM] New Record for Team's Most Points (11) in 1 Game for New York Rangers!
[2026-02-11 3:02:44 PM] New Record for Team's Most Assists (7) in 1 Game for New York Rangers!
[2026-02-11 3:02:44 PM] New Record for Team's Most Goals (4) in 1 Game for New York Rangers!
[2026-02-07 2:08:52 PM] New Record for Team's Most Penalties Minutes (17) in 1 Game for New York Rangers!
[2026-02-07 2:08:52 PM] New Record for Team's Most Shots Blocked (14) in 1 Game for New York Rangers!
[2026-02-01 11:08:41 AM] New Record for Team's Most Hits (31) in 1 Game for New York Rangers!
[2026-02-01 11:08:41 AM] New Record for Team's Most Penalties Minutes (11) in 1 Game for New York Rangers!



Joachim Blichfeld est dehors pour 3 jours à cause de Bruised Right Shoulder Injury.
Radim Simek est dehors pour 5 jours à cause de Chest/Ribs Injury.



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