Connexion

New York Rangers
GP: 53 | W: 26 | L: 19 | OTL: 8 | P: 83
GF: 140 | GA: 131 | PP%: 16.08% | PK%: 80.43%
DG: Corey - BoD | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #647 vs Colorado Avalanche

Centre de jeu
New York Rangers
26-19-8, 83pts
5
FINAL
0 Boston Bruins
31-15-7, 96pts
Team Stats
W2SéquenceW1
12-10-5Fiche domicile13-8-5
14-9-3Fiche visiteur18-7-2
6-2-2Derniers 10 matchs7-3-0
2.64Buts par match 3.11
2.47Buts contre par match 2.58
16.08%Pourcentage en avantage numérique21.16%
80.43%Pourcentage en désavantage numérique82.50%
New York Rangers
26-19-8, 83pts
2
FINAL
1 Pittsburgh Penguins
26-20-7, 81pts
Team Stats
W2SéquenceL3
12-10-5Fiche domicile14-9-3
14-9-3Fiche visiteur12-11-4
6-2-2Derniers 10 matchs5-4-1
2.64Buts par match 3.00
2.47Buts contre par match 2.66
16.08%Pourcentage en avantage numérique23.16%
80.43%Pourcentage en désavantage numérique81.68%
New York Rangers
26-19-8, 83pts
Jour 127
Colorado Avalanche
30-17-5, 91pts
Statistiques d’équipe
W2SéquenceL1
12-10-5Fiche domicile13-10-2
14-9-3Fiche visiteur17-7-3
6-2-210 derniers matchs4-4-2
2.64Buts par match 2.96
2.47Buts contre par match 2.96
16.08%Pourcentage en avantage numérique20.10%
80.43%Pourcentage en désavantage numérique76.99%
New York Rangers
26-19-8, 83pts
Jour 128
Carolina Hurricanes
25-19-9, 78pts
Statistiques d’équipe
W2SéquenceW4
12-10-5Fiche domicile13-10-4
14-9-3Fiche visiteur12-9-5
6-2-210 derniers matchs4-3-3
2.64Buts par match 2.68
2.47Buts contre par match 2.68
16.08%Pourcentage en avantage numérique19.81%
80.43%Pourcentage en désavantage numérique85.64%
Carolina Hurricanes
25-19-9, 78pts
Jour 130
New York Rangers
26-19-8, 83pts
Statistiques d’équipe
W4SéquenceW2
13-10-4Fiche domicile12-10-5
12-9-5Fiche visiteur14-9-3
4-3-310 derniers matchs6-2-2
2.68Buts par match 2.64
2.62Buts contre par match 2.64
19.81%Pourcentage en avantage numérique16.08%
85.64%Pourcentage en désavantage numérique80.43%
Meneurs d'équipe
Clayton KellerButs
Clayton Keller
18
Clayton KellerPasses
Clayton Keller
34
Clayton KellerPoints
Clayton Keller
52
Nikita ZadorovPlus/Moins
Nikita Zadorov
23
Sergei BobrovskyVictoires
Sergei Bobrovsky
14
Sergei BobrovskyPourcentage d’arrêts
Sergei Bobrovsky
0.921

Statistiques d’équipe
Buts pour
140
2.64 GFG
Tirs pour
1628
30.72 Avg
Pourcentage en avantage numérique
16.1%
32 GF
Début de zone offensive
39.5%
Buts contre
131
2.47 GAA
Tirs contre
1547
29.19 Avg
Pourcentage en désavantage numérique
80.4%%
36 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralCorey - BoD
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineNikita Zadorov
Assistant #1
Assistant #2


Informations de l’aréna

NomMadison Square Garden
Capacité18,000
Assistance14,508
Billets de saison7,920


Informations de la formation

Équipe Pro23
Équipe Mineure26
Limite contact 49 / 250
Espoirs73


Finance

Revenu annuel à ce jour29,488,797$
Dépenses annuelles à ce jour53,076,027$
Revenus de la saison estimés13,106,132$
Dépenses de la saison estimées24,516,840$
Compte bancaire actuel139,405,910$
Compte bancaire projeté128,315,507$


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
SP
Âge
Contrat
Salaire
1Patrik Laine0X100.0090498786809492907190906787728104081026310,000,000$
2Clayton Keller0X99.006535889955979990769090658871720408002547,366,667$
3Mikko Rantanen0X99.007252838185909091749090748375720408002717,100,000$
4Tage Thompson0X100.00695580799591928579809168857282040790261900,000$
5Tomas Hertl0X99.008049867880898980938385747679830407803031,670,000$
6Gabriel Vilardi (R)0X99.006454868780909081938584718068690407702414,710,000$
7Filip Chytil (R)0X100.006454858580909083838383728268750407702413,750,000$
8Kevin Hayes0X100.007150857085868379867876747480730407403214,000,000$
9Oliver Wahlstrom (R)0X100.008258667877777970647574747270700407202421,750,000$
10Frank Vatrano0X100.00844476756476757067697668737967040700303500,000$
11Trent Frederic0X100.00856057708279796672737371707273040700263500,000$
12Rem Pitlick0X100.00544477776580896971736969717562040690271800,000$
13Nikita Zadorov (C)0X99.0099609178999999767482688666788304082N02942,000,000$
14Oliver Ekman-Larsson0X100.008848898883959981518173787580850408003213,500,000$
15Sami Niku0X99.006038899975878677568175847775750407802724,900,000$
16Louie Belpedio0X100.006144879973828380509069827377700407702813,000,000$
17Ryan Lindgren0X100.008447798588858772507961806772810407702631,430,000$
18Ryan Sproul0X100.00534876688771716451676064577976040660312625,000$
Rayé
1Dylan Strome0X100.006150898477899184898790687975790407902724,900,000$
2Jimmy Vesey0X100.00794577717384866869707166707980040700312625,000$
3Evan Bouchard0X85.436442869580929982509373897673790408202423,825,000$
Équipe Mineure
1Stefan Matteau0X100.00904972659279796558686770667969040690303500,000$
2Daniel Carr0X99.00624174766476736659686864718066040670321500,000$
3Justin Florek0X100.00614777697976756563716861678376040670341500,000$
4Luke Adam0X99.00664775627678796476686664648376040660341500,000$
5Philippe Cornet0X100.00624381707572726156666362638278040650341500,000$
6Rocco Grimaldi0X100.00574081814871706158646667677863040650311500,000$
7Daniel Catenacci0X100.00561880686873716059636466637166040640312625,000$
8Joseph Cramarossa0X99.00884567706971706059626464647958040640311500,000$
9Seth Griffith0X98.00574577705873746161666363637963040640312625,000$
10Joel L'Esperance0X100.00645174637970726267606567637766040640281500,000$
11Mike Vecchione0X97.00534278684865606074576065617962040600312625,000$
12Andrew MacWilliam0X97.00864976649176766750726272598384040720341500,000$
13David Warsofsky0X100.00513691915980807250736768728274040700341500,000$
14Radim Simek0X99.00864881687577766750696468607984040700312625,000$
15Ben Hutton0X100.00565572688577816450676067587969040670312625,000$
16Bogdan Kiselevich0X100.00792278677272736550705965587368040670341500,000$
17Uvis Balinskis0X100.00644278727069786150626170587766040670273500,000$
18Gustav Olofsson0X100.00544472746169716550706170597866040660294500,000$
19Lance Bouma0X100.00804779667780816670706862688374040680341600,000$
20Jonny Brodzinski0X98.28574581637275836479686469638277040660311500,000$
21Ronalds Kenins0X100.00844772647074746259666464648169040650332500,000$
22Libor Sulak0X100.00872069727575746050565956576565040640301500,000$
23Brady Keeper0X100.00521584785564635950565969596358040620281500,000$
MOYENNE D’ÉQUIPE99.2270457976758081706473706969767204071
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
SP
Âge
Contrat
Salaire
1Sergei Bobrovsky098.00848686828484858484848485700408103515,000,000$
2Semyon Varlamov0100.00738085828285868484858487730408003615,000,000$
Rayé
Équipe Mineure
1David Rittich0100.00747174857677787874777779620407403111,250,000$
2Zane McIntyre098.0062727282757980787879767966040740312625,000$
3Andrey Makarov0100.0080585880767374767773747864040720312625,000$
MOYENNE D’ÉQUIPE99.207573758279808180798079826704076
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’équipe
POS
GP
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
1Clayton KellerNew York RangersLW53183452-62356451185591169.73%19105919.9971421301820112732146.22%1197623000.9827000632
2Mikko RantanenNew York RangersLW5317203754008776178461099.55%19100018.87527131391124815034.94%834020000.7406000333
3Dylan StromeNew York RangersC411224361180427395336312.63%1570117.112688790001471048.91%6852312001.0301000512
4Tomas HertlNew York RangersC4910223202359410390325511.11%2093719.1438111112900061195052.51%9581916100.6801001114
5Patrik LaineNew York RangersRW50131831-1334101035714453849.03%1691418.30189101500000301143.56%101359000.6824011220
6Gabriel VilardiNew York RangersC531013230280569511129769.01%1690517.0822461141014460253.83%9012221000.5101000310
7Tage ThompsonNew York RangersRW5316622134210804497316816.49%2292117.3933671490000214044.23%521324100.4813110141
8Louie BelpedioNew York RangersD536152101410246659282510.17%4692017.375279109000155100%01831000.4600110010
9Filip ChytilNew York RangersLW5391120855255051163421035.52%1577614.640003170003780051.72%293716000.5211211201
10Sami NikuNew York RangersD5311920616031737738451.30%77120722.7814551620005132000%02446000.3300000011
11Nikita ZadorovNew York RangersD53316192326101731026417324.69%86133525.1922431650224149000%01937000.2800200121
12Evan BouchardNew York RangersD3511112-3251545526529281.54%4782723.63145161400113109000%02128000.2901210000
13Oliver Ekman-LarssonNew York RangersD5301111-316086785622360%57105419.890222880001101000%02036000.2100000000
14Kevin HayesNew York RangersRW5381963010725663194012.70%1878814.880002321012802145.90%61617100.2300002032
15Frank VatranoNew York RangersLW53358517538233313299.09%83676.9300002000040050.00%687000.4400010002
16Oliver WahlstromNew York RangersRW53718112810472445132415.56%114288.0900000000001022.22%9611000.3700011100
17Ryan LindgrenNew York RangersD53055339575655030160%3785616.1700002000144000%0640000.1200001001
18Trent FredericNew York RangersC41123362205227279273.70%103518.5800000000090049.47%19035000.1700102000
19Ryan SproulNew York RangersD1311230041141225.00%314811.410000000002100%002000.2700000000
20Rem PitlickNew York RangersC231124951113217104.76%31586.9000000000020050.98%5133000.2500001000
21Jimmy VeseyNew York RangersLW13000-275421010%1564.3200003000000080.00%51000000100000
Statistiques d’équipe totales ou en moyenne954137236373745421501238114216285519898.42%5461571716.48325789125167135837119223550.65%3250400404300.4762510710252220
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Sergei BobrovskyNew York Rangers2714930.9212.3515092259748327000.818112627442
2Semyon VarlamovNew York Rangers30121050.9162.3517122267798362110.538132726132
Statistiques d’équipe totales ou en moyenne57261980.9182.35322144126154668911245353574


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’équipe
POS
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 restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Clayton Keller (contrat à 1 volet)New York RangersLW251998-07-29USANo179 Lbs5 ft10NoNoFree AgentNoNo42024-08-26FalseFalsePro & Farm7,366,667$2,319,890$0$0$No7,366,667$7,366,667$7,366,667$------7,366,667$7,366,667$7,366,667$------NoNoNo------Lien / Lien NHL
Dylan StromeNew York RangersC271997-03-07CANNo201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm4,900,000$1,543,094$0$0$No4,900,000$--------4,900,000$--------No--------Lien / Lien NHL
Evan Bouchard (contrat à 1 volet)New York RangersD241999-10-20CANNo194 Lbs6 ft3NoNoFree AgentNoNo22024-08-26FalseFalsePro & Farm3,825,000$1,204,558$0$0$No3,825,000$--------3,825,000$--------No--------Lien / Lien NHL
Filip Chytil (contrat à 1 volet)New York RangersLW241999-09-05CZEYes209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm3,750,000$1,180,939$0$0$No---------------------------Lien / Lien NHL
Frank VatranoNew York RangersLW301994-03-14USANo201 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$157,459$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Gabriel Vilardi (contrat à 1 volet)New York RangersC241999-08-16CANYes216 Lbs6 ft3NoNoFree AgentNoNo12024-08-27FalseFalsePro & Farm4,710,000$1,483,260$0$0$No---------------------------Lien / Lien NHL
Jimmy VeseyNew York RangersLW311993-05-26USANo203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm625,000$196,823$0$0$No625,000$--------625,000$--------No--------Lien / Lien NHL
Kevin Hayes (contrat à 1 volet)New York RangersRW321992-05-08USANo216 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm4,000,000$1,259,669$0$0$No---------------------------Lien / Lien NHL
Louie Belpedio (contrat à 1 volet)New York RangersD281996-05-14USANo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$944,751$0$0$No---------------------------
Mikko Rantanen (contrat à 1 volet)New York RangersLW271996-10-29FINNo216 Lbs6 ft4NoNoTrade2024-05-10NoNo1FalseFalsePro & Farm7,100,000$2,235,912$0$0$No---------------------------Lien / Lien NHL
Nikita Zadorov (contrat à 1 volet)New York RangersD291995-04-16RUSNo236 Lbs6 ft6YesNoFree AgentNoNo42024-10-04FalseFalsePro Only2,000,000$629,834$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------YesYesYes------Lien / Lien NHL
Oliver Ekman-Larsson (contrat à 1 volet)New York RangersD321991-07-17SWENo201 Lbs6 ft2NoNoTrade2024-05-10NoNo1FalseFalsePro & Farm3,500,000$1,102,210$0$0$No---------------------------Lien / Lien NHL
Oliver WahlstromNew York RangersRW242000-06-13USAYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,750,000$551,105$0$0$No1,750,000$--------1,750,000$--------No--------Lien / Lien NHL
Patrik Laine (contrat à 1 volet)New York RangersRW261998-04-19FINNo216 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm10,000,000$3,149,171$0$0$No10,000,000$10,000,000$-------10,000,000$10,000,000$-------NoNo-------Lien / Lien NHL
Rem PitlickNew York RangersC271997-04-02CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$251,934$0$0$No---------------------------Lien / Lien NHL
Ryan LindgrenNew York RangersD261998-02-11USANo190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,430,000$450,331$0$0$No1,430,000$1,430,000$-------1,430,000$1,430,000$-------NoNo-------Lien / Lien NHL
Ryan SproulNew York RangersD311993-01-13CANNo205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm625,000$196,823$0$0$No625,000$--------625,000$--------No--------
Sami Niku (contrat à 1 volet)New York RangersD271996-10-10FINNo176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm4,900,000$1,543,094$0$0$No4,900,000$--------4,900,000$--------No--------Lien NHL
Semyon Varlamov (contrat à 1 volet)New York RangersG361988-04-27RUSNo209 Lbs6 ft2NoNoFree AgentNoNo12024-09-15FalseFalsePro & Farm5,000,000$1,574,586$0$0$No---------------------------Lien / Lien NHL
Sergei Bobrovsky (contrat à 1 volet)New York RangersG351988-09-20RUSNo183 Lbs6 ft2NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm5,000,000$1,574,586$0$0$No---------------------------Lien / Lien NHL
Tage ThompsonNew York RangersRW261997-10-30USANo220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm900,000$283,425$0$0$No---------------------------Lien / Lien NHL
Tomas HertlNew York RangersC301993-11-12CZENo214 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,670,000$525,912$0$0$No1,670,000$1,670,000$-------1,670,000$1,670,000$-------NoNo-------Lien / Lien NHL
Trent FredericNew York RangersC261998-02-11USANo214 Lbs6 ft3NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm500,000$157,459$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.13204 Lbs6 ft21.963,384,855$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,851,667$40,091,667$23,466,667$9,366,667$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Clayton KellerGabriel VilardiPatrik Laine36014
2Mikko RantanenTomas HertlTage Thompson33014
3Filip ChytilTrent FredericKevin Hayes30023
4Frank VatranoRem PitlickOliver Wahlstrom1032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovSami Niku40032
2Oliver Ekman-LarssonRyan Lindgren30032
3Louie BelpedioRyan Sproul20032
4Nikita ZadorovRyan Lindgren10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Clayton KellerTomas HertlTage Thompson60104
2Mikko RantanenGabriel VilardiPatrik Laine40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovLouie Belpedio60104
2Oliver Ekman-LarssonSami Niku40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas HertlMikko Rantanen60140
2Gabriel VilardiKevin Hayes40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovOliver Ekman-Larsson60140
2Sami NikuLouie Belpedio40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tomas Hertl60140Nikita ZadorovLouie Belpedio60140
2Kevin Hayes40140Oliver Ekman-LarssonSami Niku40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel VilardiMikko Rantanen60104
2Tomas HertlTage Thompson40104
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZadorovLouie Belpedio60104
2Oliver Ekman-LarssonSami Niku40104
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Clayton KellerTomas HertlTage ThompsonNikita ZadorovSami Niku
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikko RantanenTomas HertlKevin HayesNikita ZadorovSami Niku
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Chytil, Mikko Rantanen, Clayton KellerKevin Hayes, Filip ChytilTage Thompson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Louie Belpedio, Ryan Lindgren, Oliver Ekman-LarssonOliver Ekman-LarssonLouie Belpedio, Oliver Ekman-Larsson
Tirs de pénalité
Clayton Keller, Mikko Rantanen, Tage Thompson, Patrik Laine, Tomas Hertl
Gardien
#1 : Sergei Bobrovsky, #2 : Semyon Varlamov
Lignes d’attaque personnalisées en prolongation
Gabriel Vilardi, Clayton Keller, Tomas Hertl, Mikko Rantanen, Tage Thompson, Patrik Laine, Kevin Hayes, Filip Chytil, Oliver Wahlstrom, Trent Frederic
Lignes de défense personnalisées en prolongation
Nikita Zadorov, Oliver Ekman-Larsson, Sami Niku, Louie Belpedio, Ryan Lindgren


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
Total
Domicile
Visiteur
#
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
1Boston Bruins211000008531010000035-21100000050530.500814220132306719291906222354610220.00%5180.00%0640126550.59%643122552.49%36371151.05%483038163218
2California Golden Seals22000000844110000003031100000054161.00081523012330602018220542310368450.00%5180.00%0640126550.59%643122552.49%36371151.05%472940163216
3Carolina Hurricanes41200010912-3210000106332020000039-650.4179122100125111731473751193068911417.14%19763.16%1640126550.59%643122552.49%36371151.05%925485366734
4Chicago Blackhawks2020000038-51010000013-21010000025-300.00035800201056172415067222046500.00%5340.00%0640126550.59%643122552.49%36371151.05%422444163317
5Colorado Avalanche1000000112-11000000112-10000000000010.3331120010012910107425221024100.00%5180.00%0640126550.59%643122552.49%36371151.05%21102310209
6Columbus Blue Jackets2010010036-31010000013-21000010023-110.167347003000542518101711920497114.29%10280.00%1640126550.59%643122552.49%36371151.05%452546183215
7Detroit Red Wings210000016511000000134-11100000031240.6676111700222262132226863226447228.57%30100.00%0640126550.59%643122552.49%36371151.05%412347183618
8Edmonton Oilers22000000853110000005411100000031261.000814220024206320212205329165711218.18%30100.00%0640126550.59%643122552.49%36371151.05%452638173518
9Florida Panthers42200000990211000005412110000045-160.500915240025201113438390964541791317.69%13192.31%0640126550.59%643122552.49%36371151.05%895280367034
10Hamilton Mustangs21100000710-3110000006421010000016-530.50071219001150551816210662036423133.33%13376.92%0640126550.59%643122552.49%36371151.05%402246183315
11Los Angeles Kings2000010146-21000010023-11000000123-120.333481200121057191618758151245300.00%6183.33%0640126550.59%643122552.49%36371151.05%432445183618
12Minnesota North Stars22000000743110000003121100000043161.00071320002140611727170571931447228.57%9188.89%0640126550.59%643122552.49%36371151.05%442640193516
13Montreal Canadiens21100000440110000003121010000013-230.50046100013006620232305516144210110.00%7185.71%0640126550.59%643122552.49%36371151.05%462840173317
14New Jersey Devils4120001010100211000003302010001077050.4171016260015311173636435126442610418316.67%14285.71%0640126550.59%643122552.49%36371151.05%955581356736
15New York Islanders41200100910-12020000025-32100010075240.3339152400423013354354311254126896116.67%13284.62%0640126550.59%643122552.49%36371151.05%875390346432
16Philadelphia Flyers210000016511000000134-11100000031240.66761218002220602219157602057515120.00%13376.92%1640126550.59%643122552.49%36371151.05%432346203517
17Pittsburgh Penguins211000005501010000034-11100000021130.5005712001310672721190691919451119.09%7185.71%0640126550.59%643122552.49%36371151.05%412243193517
18Quebec Nordiques210001005411000010023-11100000031240.66759140002307324153314614275719421.05%8187.50%0640126550.59%643122552.49%36371151.05%512935183518
19Seattle Kraken21000010523110000003121000001021150.833561100301148141419459191362600.00%4175.00%0640126550.59%643122552.49%36371151.05%462540183819
20St Louis Blues211000005411010000012-11100000042230.5005914000320632120220612614416116.67%7271.43%0640126550.59%643122552.49%36371151.05%432644173216
21Tampa Bay Lightning21100000853110000007251010000013-230.500814221060207227252004925204314321.43%5180.00%0640126550.59%643122552.49%36371151.05%482936183418
22Toronto Maple Leafs21100000532110000004041010000013-230.5005813011310692826150602521489111.11%8187.50%0640126550.59%643122552.49%36371151.05%452740193316
23Vegas Golden Knights211000005321010000013-21100000040430.50051015010410681534190469453600.00%20100.00%0640126550.59%643122552.49%36371151.05%442538173618
Total5323190043414013192711100021371647261290022169672830.522140236376144149476162853155452443154754654612381993216.08%1843680.43%3640126550.59%643122552.49%36371151.05%11946991115480915463
_Since Last GM Reset5323190043414013192711100021371647261290022169672830.522140236376144149476162853155452443154754654612381993216.08%1843680.43%3640126550.59%643122552.49%36371151.05%11946991115480915463
_Vs Conference3012130022178726156600111413471567001103738-1430.47878128206122229252952322314306198673013546951291914.73%1122181.25%2640126550.59%643122552.49%36371151.05%688406619272511261
_Vs Division1869001204546-19440001023176925001102229-7230.42645721171014141525501821811821151518518140665913.85%641379.69%1640126550.59%643122552.49%36371151.05%412244375161304156

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5383W214023637616281547546546123814
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5323190434140131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27111002137164
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2612902216967
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1993216.08%1843680.43%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
531554524434149476
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
640126550.59%643122552.49%36371151.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11946991115480915463


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
210New York Rangers4Vegas Golden Knights0WSommaire du match
419Colorado Avalanche2New York Rangers1LXXSommaire du match
635New York Rangers4Minnesota North Stars3WSommaire du match
742Hamilton Mustangs4New York Rangers6WSommaire du match
1051New York Rangers3Philadelphia Flyers1WSommaire du match
1265Montreal Canadiens1New York Rangers3WSommaire du match
1577Toronto Maple Leafs0New York Rangers4WSommaire du match
1790New York Rangers1Toronto Maple Leafs3LSommaire du match
20107New Jersey Devils2New York Rangers1LSommaire du match
22120Carolina Hurricanes1New York Rangers3WSommaire du match
24130New York Rangers1Tampa Bay Lightning3LSommaire du match
26143New York Rangers6New York Islanders3WSommaire du match
28156Florida Panthers2New York Rangers1LSommaire du match
30164New York Rangers2New Jersey Devils3LSommaire du match
32177New York Rangers1Carolina Hurricanes5LSommaire du match
34187Tampa Bay Lightning2New York Rangers7WSommaire du match
36203New York Rangers1Montreal Canadiens3LSommaire du match
38214Quebec Nordiques3New York Rangers2LXSommaire du match
40225Vegas Golden Knights3New York Rangers1LSommaire du match
41233St Louis Blues2New York Rangers1LSommaire du match
44244New York Rangers2Columbus Blue Jackets3LXSommaire du match
47253New York Rangers2Los Angeles Kings3LXXSommaire du match
51269Edmonton Oilers4New York Rangers5WSommaire du match
54281New York Rangers2Seattle Kraken1WXXSommaire du match
57293New York Islanders2New York Rangers1LSommaire du match
60309New York Rangers1Florida Panthers4LSommaire du match
61314New Jersey Devils1New York Rangers2WSommaire du match
65332New York Rangers1New York Islanders2LXSommaire du match
67345New York Rangers2Carolina Hurricanes4LSommaire du match
69360Carolina Hurricanes2New York Rangers3WXXSommaire du match
70365New York Islanders3New York Rangers1LSommaire du match
73380New York Rangers5New Jersey Devils4WXXSommaire du match
74386Detroit Red Wings4New York Rangers3LXXSommaire du match
76401New York Rangers2Chicago Blackhawks5LSommaire du match
78412Columbus Blue Jackets3New York Rangers1LSommaire du match
81423New York Rangers3Detroit Red Wings1WSommaire du match
83435New York Rangers4St Louis Blues2WSommaire du match
86453California Golden Seals0New York Rangers3WSommaire du match
87462New York Rangers5California Golden Seals4WSommaire du match
89471Florida Panthers2New York Rangers4WSommaire du match
92483New York Rangers3Florida Panthers1WSommaire du match
97501New York Rangers1Hamilton Mustangs6LSommaire du match
99516Chicago Blackhawks3New York Rangers1LSommaire du match
101523Minnesota North Stars1New York Rangers3WSommaire du match
104535Seattle Kraken1New York Rangers3WSommaire du match
106548Los Angeles Kings3New York Rangers2LXSommaire du match
109563New York Rangers3Edmonton Oilers1WSommaire du match
112574New York Rangers3Quebec Nordiques1WSommaire du match
114587Boston Bruins5New York Rangers3LSommaire du match
115589Pittsburgh Penguins4New York Rangers3LSommaire du match
118605Philadelphia Flyers4New York Rangers3LXXSommaire du match
120616New York Rangers5Boston Bruins0WSommaire du match
124629New York Rangers2Pittsburgh Penguins1WSommaire du match
127647New York Rangers-Colorado Avalanche-
128654New York Rangers-Carolina Hurricanes-
130666Carolina Hurricanes-New York Rangers-
132676Tampa Bay Lightning-New York Rangers-
134685New York Rangers-Tampa Bay Lightning-
137701Montreal Canadiens-New York Rangers-
140714New York Rangers-Boston Bruins-
142723Philadelphia Flyers-New York Rangers-
144736New York Rangers-Toronto Maple Leafs-
146745Pittsburgh Penguins-New York Rangers-
148758New York Rangers-Quebec Nordiques-
152779Quebec Nordiques-New York Rangers-
154792New York Rangers-Pittsburgh Penguins-
156801Toronto Maple Leafs-New York Rangers-
158814New York Rangers-Philadelphia Flyers-
160823Boston Bruins-New York Rangers-
163836New York Rangers-Montreal Canadiens-
165845New Jersey Devils-New York Rangers-
166851New York Rangers-New Jersey Devils-
169866New York Rangers-New York Islanders-
170872New York Islanders-New York Rangers-
173891New York Rangers-Florida Panthers-
174900Florida Panthers-New York Rangers-
179913New York Rangers-Tampa Bay Lightning-
180925Tampa Bay Lightning-New York Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets93523225188
Assistance133,199103,66642,71583,81728,330
Attendance PCT83.05%79.00%79.90%78.39%83.27%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 14508 - 80.60% 1,092,178$29,488,797$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
53,076,027$ 77,851,667$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 53,076,027$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
13,106,132$ 57 430,120$ 24,516,840$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
24,980,535$ 139,405,910$ 128,315,507$



Charte de profondeur

Ailier gaucheCentreAilier droit
Clayton KellerAGE:25PO:0OV:80
Mikko RantanenAGE:27PO:0OV:80
Filip Chytil (R)AGE:24PO:0OV:77
Jimmy VeseyAGE:31PO:0OV:70
Frank VatranoAGE:30PO:0OV:70
Daniel CarrAGE:32PO:0OV:67
Justin FlorekAGE:34PO:0OV:67
Rocco GrimaldiAGE:31PO:0OV:65
Daniel CatenacciAGE:31PO:0OV:64
Joel L'EsperanceAGE:28PO:0OV:64
Dylan StromeAGE:27PO:0OV:79
Tomas HertlAGE:30PO:0OV:78
Gabriel Vilardi (R)AGE:24PO:0OV:77
Trent FredericAGE:26PO:0OV:70
Rem PitlickAGE:27PO:0OV:69
Stefan MatteauAGE:30PO:0OV:69
Luke AdamAGE:34PO:0OV:66
Jonny BrodzinskiAGE:31PO:0OV:66
Mike VecchioneAGE:31PO:0OV:60
Patrik LaineAGE:26PO:0OV:81
Tage ThompsonAGE:26PO:0OV:79
Kevin HayesAGE:32PO:0OV:74
Oliver Wahlstrom (R)AGE:24PO:0OV:72
Lance BoumaAGE:34PO:0OV:68
Philippe CornetAGE:34PO:0OV:65
Ronalds KeninsAGE:33PO:0OV:65
Joseph CramarossaAGE:31PO:0OV:64
Seth GriffithAGE:31PO:0OV:64

Défense #1Défense #2Gardien
Nikita ZadorovAGE:29PO:0OV:82
Evan BouchardAGE:24PO:0OV:82
Oliver Ekman-LarssonAGE:32PO:0OV:80
Sami NikuAGE:27PO:0OV:78
Louie BelpedioAGE:28PO:0OV:77
Ryan LindgrenAGE:26PO:0OV:77
Andrew MacWilliamAGE:34PO:0OV:72
David WarsofskyAGE:34PO:0OV:70
Radim SimekAGE:31PO:0OV:70
Ben HuttonAGE:31PO:0OV:67
Bogdan KiselevichAGE:34PO:0OV:67
Uvis BalinskisAGE:27PO:0OV:67
Gustav OlofssonAGE:29PO:0OV:66
Ryan SproulAGE:31PO:0OV:66
Libor SulakAGE:30PO:0OV:64
Brady KeeperAGE:28PO:0OV:62
Sergei BobrovskyAGE:35PO:0OV:81
Semyon VarlamovAGE:36PO:0OV:80
David RittichAGE:31PO:0OV:74
Zane McIntyreAGE:31PO:0OV:74
Andrey MakarovAGE:31PO:0OV:72

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
Espoir
Nom de l’équipe
Année de repêchage
Choix total
Information
Date de la Dernière Transaction
Lien
0x LTCsNew York Rangers00
0x RFA Tag (Clayton Keller Y28)New York Rangers00
20x POS Changes NSHL24New York Rangers00
37x TC PTSNew York Rangers00
Adam KleberNew York Rangers2471Lien
Alexander RykovNew York Rangers23139Lien
Alexander SuzdalevNew York Rangers22117Lien
Alexis LafreniereNew York Rangers201
Anton WahlbergNew York Rangers2351Lien
Arttu KarkiNew York Rangers2377Lien
Artyum DudaNew York Rangers2298Lien
Beckett HendricksonNew York Rangers23137Lien
Bogdan KonyushkovNew York Rangers23141Lien
Brad GardinerNew York Rangers23111Lien
Bradly NadeauNew York Rangers2330Lien
Brett PollockNew York Rangers1476
Caden PriceNew York Rangers23114Lien
Calum RitchieNew York Rangers2327Lien
Carson BjarnasonNew York Rangers2352Lien
Carson RehkopfNew York Rangers2383Lien
Carter GeorgeNew York Rangers2446Lien
Coulson PitreNew York Rangers2397Lien
Danila KlimovichNew York Rangers2138Lien
Dmitri BuchelnikovNew York Rangers2250Lien
Dmitry KuzminNew York Rangers21101Lien
Easton CowanNew York Rangers2342Lien
Evan FitzpatrickNew York Rangers1681
Felix Unger-SorumNew York Rangers2373Lien
Gabriel EliassonNew York Rangers2490Lien
Gabriel FortierNew York Rangers1868Lien
Hagen BurrowsNew York Rangers24168Lien
Ilya NabokovNew York Rangers2435Lien
Jack BerglundNew York Rangers2495Lien
Jakub DvorakNew York Rangers23125Lien
Jalen LuypenNew York Rangers22120Lien
Jorian DonovanNew York Rangers22121Lien
Juha JatkolaNew York Rangers23112Lien
Kaapo KakkoNew York Rangers192
Kalan LindNew York Rangers2392Lien
Lenni HameenahoNew York Rangers2368Lien
Leo Sahlin-WalleniusNew York Rangers2459Lien
Liam FoudyNew York Rangers1836
Linus ErikssonNew York Rangers2455Lien
Logan MaillouxNew York Rangers2199Lien
Logan SawyerNew York Rangers24127Lien
Matthew RobertsonNew York Rangers19112
Matthew WoodNew York Rangers2313Lien
Matvei MichkovNew York Rangers233Lien
Melvin FernstromNew York Rangers24144Lien
Michael HrabelNew York Rangers2339Lien
Nate DanielsonNew York Rangers2312Lien
Nico MyatovicNew York Rangers2348Lien
Oliver BonkNew York Rangers2334Lien
Oskar BackNew York Rangers18119
Quentin MustyNew York Rangers2328Lien
Rasmus KumpulainenNew York Rangers2371Lien
Sasha PastujovNew York Rangers2130Lien
Scott RatzlaffNew York Rangers23115Lien
Sean BehrensNew York Rangers2162Lien
Shane WrightNew York Rangers221Lien
Spencer GillNew York Rangers2499Lien
Tobias BjornfotNew York Rangers1930
Tom WillanderNew York Rangers2320Lien
Trey AugustineNew York Rangers2340Lien
Tristan BertucciNew York Rangers23113Lien
Ty DellandreaNew York Rangers1830
Viggo GustafssonNew York Rangers24123Lien
Vilmer AlrikssonNew York Rangers23119Lien
Will SkahanNew York Rangers24103Lien
William ZellersNew York Rangers24119Lien
Y25-MTL-6New York Rangers00
Yegor ZavraginNew York Rangers23101Lien
Zachary DeanNew York Rangers2128Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
29
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

[2025-05-19 10:23:03 AM] TRADE : From Pittsburgh Penguins to New York Rangers : $64,420 (Money).
[2025-05-19 10:22:19 AM] TRADE : From Pittsburgh Penguins to New York Rangers : $1,031,136 (Money).
[2025-05-14 9:26:06 AM] New Record for Team's Most Penalties Minutes (43) in 1 Game for New York Rangers!
[2025-05-10 10:28:18 AM] TRADE : From New York Rangers to Boston Bruins : $1,079,850 (Money).
[2025-05-07 11:44:40 AM] TRADE : From New York Rangers to Detroit Red Wings : Logan Thompson (78).
[2025-05-07 11:44:40 AM] TRADE : From Detroit Red Wings to New York Rangers : Y:25-RND:2-CAL, Y:25-RND:4-MTL.
[2025-05-03 9:44:08 AM] TRADE : From New York Rangers to Los Angeles Kings : $1,022,526 (Money).
[2025-04-10 4:33:15 PM] TRADE : From Detroit Red Wings to New York Rangers : $66,760 (Money).
[2025-04-10 4:31:32 PM] TRADE : From Detroit Red Wings to New York Rangers : $1,157,655 (Money).
[2025-03-22 11:29:41 AM] TRADE : From New York Rangers to Detroit Red Wings : $1,044,453 (Money).
[2025-03-07 2:29:14 PM] Conner Bleackley has been deleted from New York Rangers.
[2025-03-07 2:29:11 PM] Chris Calnan has been deleted from New York Rangers.
[2025-03-07 2:29:05 PM] Sebastian Collberg has been deleted from New York Rangers.
[2025-03-07 2:28:45 PM] Linus Eriksson has been deleted from New York Rangers.
[2025-03-04 10:32:10 AM] TRADE : From Seattle Kraken to New York Rangers : $1,215,514 (Money).



Evan Bouchard est dehors pour 1 semaine à cause de Bruised Right Foot 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