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New York Rangers
GP: 34 | W: 14 | L: 14 | OTL: 6 | P: 46
GF: 85 | GA: 93 | PP%: 18.44% | PK%: 81.31%
DG: Corey | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #479 vs Pittsburgh Penguins

Centre de jeu
New York Rangers
14-14-6, 46pts
2
3 Seattle Kraken
14-18-1, 38pts
Team Stats
W1SéquenceW5
5-9-3Fiche domicile9-6-0
9-5-3Fiche visiteur5-12-1
5-4-1Derniers 10 matchs7-3-0
2.50Buts par match 2.36
2.74Buts contre par match 2.88
18.44%Pourcentage en avantage numérique14.81%
81.31%Pourcentage en désavantage numérique81.69%
Quebec Nordiques
18-14-2, 53pts
2
4 New York Rangers
14-14-6, 46pts
Team Stats
L1SéquenceW1
8-8-1Fiche domicile5-9-3
10-6-1Fiche visiteur9-5-3
6-4-0Derniers 10 matchs5-4-1
3.03Buts par match 2.50
2.97Buts contre par match 2.74
20.37%Pourcentage en avantage numérique18.44%
84.65%Pourcentage en désavantage numérique81.31%
New York Rangers
14-14-6, 46pts
Jour 85
Pittsburgh Penguins
18-15-1, 50pts
Statistiques d’équipe
W1SéquenceL2
5-9-3Fiche domicile8-9-0
9-5-3Fiche visiteur10-6-1
5-4-110 derniers matchs5-4-1
2.50Buts par match 2.85
2.74Buts contre par match 2.85
18.44%Pourcentage en avantage numérique14.29%
81.31%Pourcentage en désavantage numérique79.56%
New York Rangers
14-14-6, 46pts
Jour 88
Philadelphia Flyers
17-14-3, 52pts
Statistiques d’équipe
W1SéquenceW1
5-9-3Fiche domicile10-7-1
9-5-3Fiche visiteur7-7-2
5-4-110 derniers matchs5-4-1
2.50Buts par match 2.91
2.74Buts contre par match 2.91
18.44%Pourcentage en avantage numérique21.14%
81.31%Pourcentage en désavantage numérique81.82%
New York Rangers
14-14-6, 46pts
Jour 91
Winnipeg Jets
18-12-3, 54pts
Statistiques d’équipe
W1SéquenceW1
5-9-3Fiche domicile10-5-2
9-5-3Fiche visiteur8-7-1
5-4-110 derniers matchs4-4-2
2.50Buts par match 2.82
2.74Buts contre par match 2.82
18.44%Pourcentage en avantage numérique16.67%
81.31%Pourcentage en désavantage numérique77.27%
Meneurs d'équipe
Buts
Mikko Rantanen
14
Passes
Mika Zibanejad
18
Points
Mika Zibanejad
29
Plus/Moins
Mikko Rantanen
7
Victoires
Martin Jones
13
Pourcentage d’arrêts
Martin Jones
0.911

Statistiques d’équipe
Buts pour
85
2.50 GFG
Tirs pour
1045
30.74 Avg
Pourcentage en avantage numérique
18.4%
26 GF
Début de zone offensive
40.5%
Buts contre
93
2.74 GAA
Tirs contre
987
29.03 Avg
Pourcentage en désavantage numérique
81.3%%
20 GA
Début de la zone défensive
37.0%
Informations de l'équipe

Directeur généralCorey
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineNikita Zadorov
Assistant #1Mika Zibanejad
Assistant #2Patrik Laine


Informations de l’aréna

NomMadison Square Garden
Capacité18,000
Assistance14,685
Billets de saison7,740


Informations de la formation

Équipe Pro21
Équipe Mineure29
Limite contact 50 / 250
Espoirs99


Finance

Revenu annuel à ce jour18,051,048$
Dépenses annuelles à ce jour41,864,559$
Revenus de la saison estimés24,422,006$
Dépenses de la saison estimées47,589,360$
Compte bancaire actuel139,788,683$
Compte bancaire projeté117,228,335$


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 Zibanejad (A)0X98.00894988907191969199869073828083554082N032213,000,000$
2Clayton Keller0X99.0067358899559799907690906588737455408102637,366,667$
3Mikko Rantanen0X99.0074528381859090917490907483777355408102815,910,000$
4Dylan Strome0X100.0063508984778991848987907079777955407902814,900,000$
5Filip Chytil0X100.0070558585809090838383837282717555407802545,910,000$
6Gabriel Vilardi0X100.0067548690809090839485847180717055407802545,910,000$
7Anton Lander0X100.0085437582648585727776726777827055407203411,569,999$
8Alexis Lafreniere (R)0X100.0080428080808787696076716271687855407102332,000,000$
9Matvei Michkov (R)0X100.0053357897588679766778785580606055407102032,000,000$
10Rem Pitlick0X100.005446777765808969717369717177625540690282624,000$
11Nikita Zadorov (C)0X99.00996291789999997674826888667985554083N03032,000,000$
12Evan Bouchard0X99.0066458695809299825093738976737955408202513,825,000$
13Sami Niku0X100.0060389099778988775681758477777755407902814,900,000$
14Brady Skjei0X100.0090517774918990745082657568808055407603123,000,000$
15Brian Dumoulin0X100.0068498968958790707072648062818555407503313,000,000$
16Derrick Pouliot0X100.0055479174807882715074667865807555407203121,600,000$
17Victor Mete0X100.005444838268798170507261786574765540710272500,000$
Rayé
1Patrik Laine (A)0X85.02915187868094929072909067877481554081027210,000,000$
2Jimmy Vesey0X100.007746756972828466706869676880785540690321625,000$
Équipe Mineure
1Ronalds Kenins0X98.008148716571757463606765656582705540660341500,000$
2Joel L'Esperance0X98.006353736281727464666267696578655540650291624,000$
3Joseph Cramarossa0X99.008546647070727061606365656580595540650322500,000$
4Oskar Back0X95.005347826680777760746562646273835540650253600,000$
5Daniel Catenacci0X99.005719816865747261606465676472675540640321625,000$
6Nicholas Abruzzese0X100.005435798055677560605860706570675540640261500,000$
7Seth Griffith0X100.005846747159747162626764646480645540640321625,000$
8Noah Philp0X99.005142776975666660686159656275755540630261500,000$
9Viktor Lodin0X99.005040847666677555505659706268715540630263555,000$
10Joachim Blichfeld0X100.005110357865645760505661716562579040620261500,000$
11Patrick Giles0X100.005245796882676160615660646273735540620251567,000$
12Uvis Balinskis0X96.006644787272718063506460725977685540680282500,000$
13Andrei Mironov0X97.047215578168656464506560686366617940660301500,000$
14Ben Hutton0X100.005355696886747861506459685780685540660321625,000$
15Gustav Olofsson0X97.135346717363687066506962726079685540660303500,000$
16Jimmy Schuldt0X99.005145846882676760505659675679895540650301500,000$
17Ryan Sproul0X100.005149776785696962506560655680745540650321625,000$
18Tyler Lewington0X100.007772397470606060505659665876627540640301500,000$
19Angus Crookshank0X100.005140797560676760606159626373735540620251567,000$
20Ben Jones0X100.005850717266656560685659656275755540620261500,000$
21Ben Meyers0X100.005042747070646460685659686275755540620261500,000$
22Mike Vecchione0X100.005443756949666161755861666280635540610321625,000$
23Tye Felhaber0X100.005040797361585855505659686175755540610261500,000$
24Radim Simek0X76.128649786976787768507065696180815540710321625,000$
25Brady Keeper0X100.005215847855646359505659695963588540620291624,000$
MOYENNE D’ÉQUIPE98.44654478777277786863706870677572574069
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 Jones097.008175758683848583838483846955408003515,000,000$
2Joseph Woll0100.00806575847877798080787875605540750261800,000$
Rayé
Équipe Mineure
1Andrey Makarov099.00805858807673747677737478648440720321625,000$
2JUHA JATKOLA0100.00816060767873747777747562565240710221250,000$
3HUNTER SHEPARD0100.00666060727476777777767770595040700291259,000$
4JOEL LASSINANTTI0100.00626060687676777575767578645240700321258,000$
MOYENNE D’ÉQUIPE99.3375636578787778787877777562584073
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 RangersC34111829-534107568104226010.58%1969420.443101391211011222053.51%8692211000.8304101302
2Mikko RantanenNew York RangersLW34141327739254150105298213.33%1763318.63358141041015822048.48%331911200.8513104322
3Patrik LaineNew York RangersRW3491423-113010853285305710.59%464318.935712111170003112035.14%37218000.7125101131
4Clayton KellerNew York RangersLW3491322-12140333512637897.14%1465419.246713191200001121144.44%36494000.6724000031
5Gabriel VilardiNew York RangersC347132038035497520569.33%650814.960000171014261153.56%4071813000.7900000200
6Anton LanderNew York RangersC3251015321541276113288.20%632510.18000020000160047.92%192139000.9200010020
7Evan BouchardNew York RangersD345914-533549696031288.33%5692627.2542610128011183000%02338100.3000100020
8Nikita ZadorovNew York RangersD3411112-3181097695322261.89%4995928.2203391350001100100%0628000.2500101012
9Filip ChytilNew York RangersLW343710-3201036325427445.56%942512.53000030111371047.06%17203000.4700200000
10Matvei MichkovNew York RangersRW346410225514246716508.96%343912.93112447000000038.89%18183000.4500001010
11Dylan StromeNew York RangersC34257-710017396020423.33%744112.990005330003440049.44%180134000.3201000000
12Brady SkjeiNew York RangersD34134-825584523511152.86%4670620.77112593000065000%0430000.1100010100
13Brian DumoulinNew York RangersD34044-3951731171070%2146713.7601106000025000%0214000.1700010000
14Derrick PouliotNew York RangersD34044-3001030175130%1943012.66011424000224000%039000.1900000000
15Sami NikuNew York RangersD29134-2808403720132.70%2356519.49000374011051000%0822000.1400000000
16Alexis LafreniereNew York RangersRW34213-512039113912295.13%83369.90000030000280150.00%686000.1800000000
17Brady KeeperIowa Heartlanders (NYR)D1000000010010%177.150000000000000%00000000000000
18Jimmy VeseyNew York RangersLW19000-3201653130%11507.900000000000000%10200000000000
19Rem PitlickNew York RangersRW19000-300417152100%11286.7500000000000050.00%481400000000000
20Victor MeteNew York RangersD7000000062000%1486.930000000001000%00100000000000
Statistiques d’équipe totales ou en moyenne58376132208-583089070168710153286537.49%311949316.282338619310333362263510351.57%1844248220300.4451773810148
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 Rangers29131230.9112.5417002172812371210.50012286312
2Joseph WollNew York Rangers125610.9082.917220135381188000.62581210300
Statistiques d’équipe totales ou en moyenne41181840.9102.65242222107119355921204016612


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 RangersRW232001-10-11CANYes195 Lbs6 ft1NoNoDraftNoNo32025-11-02FalseFalsePro & Farm2,000,000$1,117,021$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Anton LanderNew York RangersC341991-04-24SWENo184 Lbs6 ft0NoNoTrade2026-04-13NoNo12025-09-30FalseFalsePro & Farm1,569,999$876,861$0$0$No---------------------------Lien
Brady Skjei (contrat à 1 volet)New York RangersD311994-03-26USANo209 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm3,000,000$1,675,532$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$1,675,532$0$0$No---------------------------Lien
Clayton Keller (contrat à 1 volet)New York RangersLW261998-07-29USANo179 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm7,366,667$4,114,362$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$893,617$0$0$No1,600,000$--------1,600,000$--------No--------Lien
Dylan StromeNew York RangersC281997-03-07CANNo201 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,900,000$2,736,702$0$0$No---------------------------Lien
Evan Bouchard (contrat à 1 volet)New York RangersD251999-10-20CANNo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,825,000$2,136,303$0$0$No---------------------------Lien
Filip Chytil (contrat à 1 volet)New York RangersLW251999-09-05CZENo209 Lbs6 ft3NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,910,000$3,300,798$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$3,300,798$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$349,069$0$0$No---------------------------Lien
Joseph WollNew York RangersG261998-07-12USANo203 Lbs6 ft3NoNoTrade2026-04-13NoNo12025-09-30FalseFalsePro & Farm800,000$446,809$0$0$No---------------------------Lien
Martin Jones (contrat à 1 volet)New York RangersG351990-01-10CANNo203 Lbs6 ft5NoNoFree AgentNoNo12025-10-03FalseFalsePro & Farm5,000,000$2,792,553$0$0$No---------------------------Lien
Matvei MichkovNew York RangersRW202004-12-09RUSYes172 Lbs5 ft10NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm2,000,000$1,117,021$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$7,260,638$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$3,300,798$0$0$No---------------------------Lien
Nikita Zadorov (contrat à 1 volet)New York RangersD301995-04-16RUSNo236 Lbs6 ft6YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only2,000,000$1,117,021$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$5,585,106$0$0$No10,000,000$--------10,000,000$--------No--------Lien
Rem PitlickNew York RangersRW281997-04-02CANNo196 Lbs5 ft11NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm624,000$348,511$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$2,736,702$0$0$No---------------------------Lien
Victor MeteNew York RangersD271998-06-07CANNo187 Lbs5 ft9NoNoTrade2025-12-17NoNo22025-09-30FalseFalsePro & Farm500,000$279,255$0$0$No500,000$--------500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.29200 Lbs6 ft21.954,020,984$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
84,440,666$53,910,667$25,186,667$11,820,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikko RantanenMika Zibanejad40122
2Clayton KellerDylan StromeMatvei Michkov30122
3Filip ChytilGabriel VilardiAlexis Lafreniere20122
4Mika ZibanejadAnton LanderRem Pitlick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard40122
2Sami NikuBrady Skjei30122
3Brian DumoulinDerrick Pouliot20122
4Victor MeteNikita Zadorov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikko RantanenMika Zibanejad60122
2Clayton KellerDylan StromeMatvei Michkov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard60122
2Sami NikuBrady Skjei40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mika Zibanejad60122
2Mikko RantanenClayton Keller40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard60122
2Sami NikuBrady Skjei40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mika Zibanejad60122Nikita ZadorovEvan Bouchard60122
240122Sami NikuBrady Skjei40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mika Zibanejad60122
2Mikko RantanenClayton Keller40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovEvan Bouchard60122
2Sami NikuBrady Skjei40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikko RantanenMika ZibanejadNikita ZadorovEvan Bouchard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikko RantanenMika ZibanejadNikita ZadorovEvan Bouchard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Chytil, Gabriel Vilardi, Anton LanderFilip Chytil, Gabriel VilardiAnton Lander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brian Dumoulin, Derrick Pouliot, Victor MeteBrian DumoulinDerrick Pouliot, Victor Mete
Tirs de pénalité
Mika Zibanejad, , Mikko Rantanen, Clayton Keller, Dylan Strome
Gardien
#1 : Martin Jones, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
Mika Zibanejad, , Mikko Rantanen, Clayton Keller, Dylan Strome, Filip Chytil, Gabriel Vilardi, Anton Lander, Matvei Michkov, Alexis Lafreniere
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%044281454.30%38974352.36%23545351.88%2415208147
2Boston Bruins210001005501000010023-11100000032140.66757120041006724162706517155210440.00%5180.00%044281454.30%38974352.36%23545351.88%472941163216
3California Golden Seals11000000422110000004220000000000031.000471100220038161111026926245240.00%3233.33%044281454.30%38974352.36%23545351.88%2515187168
4Carolina Hurricanes21000100761110000005321000010023-140.66771118003220582027110531830439333.33%10190.00%044281454.30%38974352.36%23545351.88%442540183517
5Columbus Blue Jackets10000010321000000000001000001032120.66734700110330812953016426300.00%2150.00%044281454.30%38974352.36%23545351.88%23142210199
6Edmonton Oilers1010000025-31010000025-30000000000000.0002350011002710107025141811100.00%4250.00%044281454.30%38974352.36%23545351.88%1710258167
7Florida Panthers1010000034-11010000034-10000000000000.0003580002103051411021136246116.67%3166.67%044281454.30%38974352.36%23545351.88%2314197178
8Hamilton Mustangs2020000048-41010000023-11010000025-300.000471100031064182422058142340900.00%40100.00%044281454.30%38974352.36%23545351.88%503238163115
9Los Angeles Kings1010000012-1000000000001010000012-100.00012300100042101814031151118300.00%3166.67%044281454.30%38974352.36%23545351.88%2214219168
10Montreal Canadiens2010000127-51010000015-41000000112-110.16723500110050161420560251944700.00%7185.71%044281454.30%38974352.36%23545351.88%442645183417
11New Jersey Devils201000104401010000012-11000001032120.333461000120153201419355883610220.00%40100.00%044281454.30%38974352.36%23545351.88%503038183619
12New York Islanders211000007521010000034-11100000041330.5007916001330722623230561214448337.50%7185.71%144281454.30%38974352.36%23545351.88%462941173215
13Ottawa Senators1010000012-1000000000001010000012-100.000123000100271386027141719200.00%6183.33%044281454.30%38974352.36%23545351.88%2011229167
14Philadelphia Flyers20100001611-51010000026-41000000145-110.1676101600231057281415362332341800.00%9277.78%244281454.30%38974352.36%23545351.88%493041173416
15Pittsburgh Penguins211000003301010000013-21100000020230.500358012010511616190521836426233.33%9188.89%044281454.30%38974352.36%23545351.88%422341183617
16Quebec Nordiques321000001183211000006601100000052360.66711172810632088412918010329426015320.00%11190.91%044281454.30%38974352.36%23545351.88%694059265126
17San Jose Sharks11000000312000000000001100000031231.00035800111035166130166236500.00%10100.00%044281454.30%38974352.36%23545351.88%26151491910
18Seattle Kraken1010000023-1000000000001010000023-100.00022400101029117110214425300.00%2150.00%044281454.30%38974352.36%23545351.88%2111189199
19St Louis Blues1010000023-1000000000001010000023-100.0002350001103261313034120245120.00%000%044281454.30%38974352.36%23545351.88%2313198169
20Tampa Bay Lightning1000000112-11000000112-10000000000010.3331120000113991012103812424200.00%20100.00%044281454.30%38974352.36%23545351.88%2113259178
21Toronto Maple Leafs22000000523110000003121100000021161.00059140012205712252006818124311218.18%60100.00%044281454.30%38974352.36%23545351.88%432542173417
22Vancouver Canucks11000000431110000004310000000000031.00047110030103615615032116204250.00%3166.67%044281454.30%38974352.36%23545351.88%2415208157
23Vegas Golden Knights1000010023-11000010023-10000000000010.3332460001102989111257426300.00%2150.00%044281454.30%38974352.36%23545351.88%22122010188
Total341214003238593-81759002014255-1317750012243385460.451851332181133311951045359339337279873313327491412618.44%1072081.31%344281454.30%38974352.36%23545351.88%787475699301581291
_Since Last GM Reset341214003238593-81759002014255-1317750012243385460.451851332181133311951045359339337279873313327491412618.44%1072081.31%344281454.30%38974352.36%23545351.88%787475699301581291
_Vs Conference24810002135967-81338001013042-1211520011229254310.4315992151112123142713248234223217182312495121032019.42%831087.95%344281454.30%38974352.36%23545351.88%555334497211410204
_Vs Division10330021127261613001011518-3420001101284140.4672739660091072319104104103132888077223451328.89%31487.10%144281454.30%38974352.36%23545351.88%2341432068817186

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3446W185133218104598733133274911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34121403238593
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
175902014255
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
177501224338
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1412618.44%1072081.31%3
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
359339337273331195
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
44281454.30%38974352.36%23545351.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
787475699301581291


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 Canadiens5New York Rangers1LSommaire du match
30180New York Rangers2Hamilton Mustangs5LSommaire du match
33194Quebec Nordiques4New York Rangers2LSommaire du match
36208New York Rangers2Pittsburgh Penguins0WSommaire du match
38217New York Rangers4Philadelphia Flyers5LXXSommaire du match
41231Philadelphia Flyers6New York Rangers2LSommaire du match
45247Pittsburgh Penguins3New York Rangers1LSommaire du match
48260New York Rangers5Quebec Nordiques2WSommaire du match
50273Hamilton Mustangs3New York Rangers2LSommaire du match
53285New York Rangers1Montreal Canadiens2LXXSommaire du match
55295Toronto Maple Leafs1New York Rangers3WSommaire du match
59316California Golden Seals2New York Rangers4WSommaire du match
61326New York Rangers2St Louis Blues3LSommaire du match
63340New York Rangers3Columbus Blue Jackets2WXXSommaire du match
66361Edmonton Oilers5New York Rangers2LSommaire du match
68371New York Rangers4New York Islanders1WSommaire du match
69382Carolina Hurricanes3New York Rangers5WSommaire du match
71394Boston Bruins3New York Rangers2LXSommaire du match
73412New Jersey Devils2New York Rangers1LSommaire du match
76426New York Rangers1Los Angeles Kings2LSommaire du match
78439New York Rangers3San Jose Sharks1WSommaire du match
80453New York Rangers2Seattle Kraken3LSommaire du match
83466Quebec Nordiques2New York Rangers4WSommaire du match
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
Assistance82,98165,52330,13254,14116,866
Attendance PCT82.18%79.31%89.52%80.42%78.74%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 14685 - 81.58% 1,061,826$18,051,048$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
41,864,559$ 85,207,666$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 41,864,559$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
24,422,006$ 105 453,232$ 47,589,360$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
48,359,430$ 139,788,683$ 117,228,335$



Charte de profondeur

Ailier gaucheCentreAilier droit
Clayton KellerAGE:26PO:55OV:81
Mikko RantanenAGE:28PO:55OV:81
Filip ChytilAGE:25PO:55OV:78
Jimmy VeseyAGE:32PO:55OV:69
Joel L'EsperanceAGE:29PO:55OV:65
Daniel CatenacciAGE:32PO:55OV:64
Nicholas AbruzzeseAGE:26PO:55OV:64
Angus CrookshankAGE:25PO:55OV:62
Tye FelhaberAGE:26PO:55OV:61
Mika ZibanejadAGE:32PO:55OV:82
Dylan StromeAGE:28PO:55OV:79
Gabriel VilardiAGE:25PO:55OV:78
Anton LanderAGE:34PO:55OV:72
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
Alexis Lafreniere (R)AGE:23PO:55OV:71
Matvei Michkov (R)AGE:20PO:55OV:71
Rem PitlickAGE:28PO:55OV:69
Ronalds KeninsAGE:34PO:55OV:66
Joseph CramarossaAGE:32PO:55OV:65
Seth GriffithAGE:32PO:55OV:64
Viktor LodinAGE:26PO:55OV:63
Joachim BlichfeldAGE:26PO:90OV:62
Patrick GilesAGE:25PO:55OV: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
Joseph WollAGE:26PO:55OV:75
Andrey MakarovAGE:32PO:84OV:72
JUHA JATKOLAAGE:22PO:52OV:71
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 HrabalNew York Rangers2339Lien
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

[2026-04-14 3:08:41 PM] New Record for Team's Most Hits (36) in 1 Game for New York Rangers!
[2026-04-13 3:25:34 PM] Patrik Laine has been selected as assistant for New York Rangers.
[2026-04-13 3:25:33 PM] Unknown Player is no longer as assistant for New York Rangers.
[2026-04-13 3:25:29 PM] Mika Zibanejad has been selected as assistant for New York Rangers.
[2026-04-13 3:25:28 PM] Unknown Player is no longer as assistant for New York Rangers.
[2026-04-13 3:25:24 PM] Nikita Zadorov has been selected as the team Captain for the New York Rangers.
[2026-04-13 3:25:23 PM] Unknown Player is no longer captain for New York Rangers.
[2026-04-13 1:09:19 PM] TRADE : From Toronto Maple Leafs to New York Rangers : Anton Lander (72), Joseph Woll (75), Y:28-RND:1-NJD, Y:29-RND:1-NJD, Y:28-RND:2-WPG, Y:29-RND:2-WPG, Y:29-RND:3-VGK.
[2026-04-13 1:09:19 PM] TRADE : From New York Rangers to Toronto Maple Leafs : Tage Thompson (79), Tomas Hertl (77), Sergei Bobrovsky (79).
[2026-04-12 11:09:46 AM] New Record for Team's Most Shots (42) in 1 Game for New York Rangers!
[2026-04-05 9:32:51 AM] New Record for Team's Most Points (14) in 1 Game for New York Rangers!
[2026-04-05 9:32:51 AM] New Record for Team's Most Assists (9) in 1 Game for New York Rangers!
[2026-04-03 10:04:37 AM] TRADE : From Toronto Maple Leafs to New York Rangers : Angus Crookshank (62), Viktor Lodin (63), Patrick Giles (62).
[2026-04-03 10:04:37 AM] TRADE : From New York Rangers to Toronto Maple Leafs : JACOB JOHANSSON (70).
[2026-03-26 3:58:32 PM] New Record for Team's Most Penalties Minutes (26) in 1 Game for New York Rangers!
[2026-03-25 11:30:34 AM] TRADE : From New York Rangers to Hamilton Mustangs : $1,051,571 (Money).
[2026-03-25 11:30:26 AM] TRADE : From New York Rangers to Hamilton Mustangs : $56,129 (Money).
[2026-03-16 10:34:47 AM] New Record for Team's Most Points (13) in 1 Game for New York Rangers!
[2026-03-16 10:34:47 AM] New Record for Team's Most Assists (8) in 1 Game for New York Rangers!
[2026-03-16 10:34:47 AM] New Record for Team's Most Goals (5) in 1 Game for New York Rangers!
[2026-03-13 11:05:26 AM] New Record for Team's Most Penalties Minutes (23) in 1 Game for New York Rangers!
[2026-03-09 4:35:23 PM] New Record for Team's Most Shots Blocked (22) in 1 Game for New York Rangers!
[2026-03-09 4:35:23 PM] New Record for Team's Most Shots Blocked (22) in 1 Game for New York Rangers!
[2026-03-01 11:33:26 AM] New Record for Team's Most Penalties Minutes (21) in 1 Game for New York Rangers!
[2026-02-26 4:20:12 PM] New Record for Team's Most Penalties Minutes (19) in 1 Game for New York Rangers!
[2026-02-11 4:02:44 PM] New Record for Team's Most Points (11) in 1 Game for New York Rangers!
[2026-02-11 4:02:44 PM] New Record for Team's Most Assists (7) in 1 Game for New York Rangers!
[2026-02-11 4:02:44 PM] New Record for Team's Most Goals (4) in 1 Game for New York Rangers!
[2026-02-07 3:08:52 PM] New Record for Team's Most Penalties Minutes (17) in 1 Game for New York Rangers!
[2026-02-07 3:08:52 PM] New Record for Team's Most Shots Blocked (14) in 1 Game for New York Rangers!
[2026-02-01 12:08:41 PM] New Record for Team's Most Hits (31) in 1 Game for New York Rangers!
[2026-02-01 12:08:41 PM] New Record for Team's Most Penalties Minutes (11) in 1 Game for New York Rangers!



Patrik Laine est dehors pour 1 semaine à cause de Left Foot Injury.
Radim Simek est dehors pour 3 semaines à cause de Broken Left Foot Toe 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