Connexion

Rangers
GP: 67 | W: 44 | L: 18 | OTL: 5 | P: 93
GF: 267 | GA: 215 | PP%: 21.51% | PK%: 82.90%
DG: Ladislav Voves | Morale : 50 | Moyenne d’équipe : 70
Prochains matchs #1085 vs Jets
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Centre de jeu
Rangers
44-18-5, 93pts
6
FINAL
4 Penguins
31-33-3, 65pts
Team Stats
W3SéquenceW1
23-6-2Fiche domicile22-12-1
21-12-3Fiche visiteur9-21-2
7-2-1Derniers 10 matchs5-5-0
3.99Buts par match 3.13
3.21Buts contre par match 3.25
21.51%Pourcentage en avantage numérique20.09%
82.90%Pourcentage en désavantage numérique86.83%
Islanders
29-32-6, 64pts
5
FINAL
6 Rangers
44-18-5, 93pts
Team Stats
L2SéquenceW3
14-17-2Fiche domicile23-6-2
15-15-4Fiche visiteur21-12-3
4-6-0Derniers 10 matchs7-2-1
2.97Buts par match 3.99
3.34Buts contre par match 3.21
15.93%Pourcentage en avantage numérique21.51%
81.18%Pourcentage en désavantage numérique82.90%
Jets
46-17-4, 96pts
Jour 133
Rangers
44-18-5, 93pts
Statistiques d’équipe
L4SéquenceW3
23-9-2Fiche domicile23-6-2
23-8-2Fiche visiteur21-12-3
5-5-010 derniers matchs7-2-1
3.43Buts par match 3.99
2.45Buts contre par match 3.99
20.15%Pourcentage en avantage numérique21.51%
88.26%Pourcentage en désavantage numérique82.90%
Rangers
44-18-5, 93pts
Jour 136
Bruins
38-25-6, 82pts
Statistiques d’équipe
W3SéquenceL6
23-6-2Fiche domicile21-14-1
21-12-3Fiche visiteur17-11-5
7-2-110 derniers matchs1-8-1
3.99Buts par match 2.84
3.21Buts contre par match 2.84
21.51%Pourcentage en avantage numérique16.21%
82.90%Pourcentage en désavantage numérique84.86%
Panthers
42-16-10, 94pts
Jour 137
Rangers
44-18-5, 93pts
Statistiques d’équipe
W1SéquenceW3
23-6-4Fiche domicile23-6-2
19-10-6Fiche visiteur21-12-3
6-3-110 derniers matchs7-2-1
3.62Buts par match 3.99
2.91Buts contre par match 3.99
16.80%Pourcentage en avantage numérique21.51%
80.72%Pourcentage en désavantage numérique82.90%
Meneurs d'équipe
Brock NelsonButs
Brock Nelson
37
Steven StamkosPasses
Steven Stamkos
59
Steven StamkosPoints
Steven Stamkos
90
Brock NelsonPlus/Moins
Brock Nelson
31
Filip GustavssonVictoires
Filip Gustavsson
32
Filip GustavssonPourcentage d’arrêts
Filip Gustavsson
0.886

Statistiques d’équipe
Buts pour
267
3.99 GFG
Tirs pour
2100
31.34 Avg
Pourcentage en avantage numérique
21.5%
57 GF
Début de zone offensive
41.7%
Buts contre
215
3.21 GAA
Tirs contre
1778
26.54 Avg
Pourcentage en désavantage numérique
82.9%%
46 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralLadislav Voves
EntraîneurPeter Laviolette
DivisionMetropolitan Division
ConférenceEastern Conference
CapitaineSteven Stamkos
Assistant #1Brent Burns
Assistant #2Patrick Kane


Informations de l’aréna

NomMadison Square Garden
Capacité20,000
Assistance19,253
Billets de saison10,000


Informations de la formation

Équipe Pro20
Équipe Mineure26
Limite contact 46 / 80
Espoirs14


Plafond salarial Non Activé

Cap Salarial de la Saison estimé73,916,250$
Plafond salarial disponible83,750$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour51,068,750$
Dépenses annuelles à ce jour60,838,750$
Revenus de la saison estimés16,473,790$
Dépenses de la saison estimées13,177,500$
Compte bancaire actuel4,702,020$
Compte bancaire projeté7,748,046$


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
1Steven Stamkos (C)XXX100.0072377387708694928188847094788405075N03336,500,000$
2Zach HymanXXX100.007139748478889386558787678474690507403114,500,000$
3Brock NelsonXX99.006636778582859486768086718976720507403122,800,000$
4Mats ZuccarelloXX100.006737788464889285598673709484790507203613,500,000$
5Boone JennerXX99.007941718178888780907381798172670507203023,500,000$
6Phillip DanaultXX100.007140688276849480867868788472670507103012,500,000$
7Evander KaneXX100.008845588079857480547982708276710507103214,500,000$
8Tomas HertlXX100.007337757782869381888373697972670507102935,600,000$
9Patrick Kane (A)X100.0061347982668690825181746281827805070N03425,600,000$
10Brandon TanevXX100.008247717872779473516566816676700506803112,800,000$
11Dylan GambrellX100.00713973727072836268575578596658050620271700,000$
12Brent Burns (A)X100.006536727788919475308373776988800507303814,900,000$
13Jacob TroubaX100.008556617279879467306763836070640507102935,100,000$
14Ryan PulockX100.007738847180879460306760785570630506902834,200,000$
15Ryan GravesX100.007239766986859260306563835568610506902844,000,000$
16Jonas BrodinX100.006937766876908360306259855672650506803023,900,000$
17Jon MerrillX100.00673776677976905430595775527466050650313600,000$
Rayé
1Darnell NurseX84.217844657584919470307467856168610507202845,500,000$
Équipe Mineure
1Alexey ToropchenkoXX100.00784081738773886252596275626051050640241700,000$
2Andrew AgozzinoXX100.007143727068816066515754666076690506103221,200,000$
3Chris WagnerXX100.008342726972746063535150675976690506003221,200,000$
4Brendan GaunceXX100.006537766682706061775450625770630505902921,200,000$
5Vinni LettieriXX100.00713678696869606450515058596859050580282900,000$
6Carson Meyer (R)X100.00723974696969636050535062606455050580262800,000$
7Riley SheahanXX100.006035816580666060715150645476690505803121,200,000$
8Jonathan Gruden (R)X100.00684770696861606056515063625848050570238100,000$
9Curtis McKenzieXXX100.006062626078486057355656576076680505703221,200,000$
10William Dufour (R)X100.00663577688063606150515058605446050560219100,000$
11Xavier SimoneauXXX100.00645269646244565342564655595648050530229100,000$
12Ben McCartneyXX100.00645265587452514540444758605647050520228100,000$
13Mark FriedmanX100.00784269697075655230555870526859050620271900,000$
14Gustav OlofssonX100.00643580647772604930515566497060050600282900,000$
15Andrej SustrX100.005836735188555745304643635078710505703211,200,000$
16Patrick KudlaX100.005737745173525949305144574866540505402710100,000$
17Andrew NielsenX100.00554475508550594730484456466656050540264100,000$
18Kirill TyutyayevXXX100.00533586606640585035514655535849050520238100,000$
19Karl HenrikssonXXX100.00553584626540564644454755565647050510229100,000$
20Michael KarowX91.79553581537750594430454159486253050540249100,000$
21Jake MassieX100.00563579557152514330444159486453050530267100,000$
22Chaz ReddekoppX100.00604268508451514330434056456452050530265100,000$
MOYENNE D’ÉQUIPE99.0073407377778591745474717672746905070
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
1Filip Gustavsson98.508774717386928688888663625505070N02512,800,000$
2Cam Talbot97.50757168827476727474777384800506603611,700,000$
Rayé
Équipe Mineure
1Ivan Fedotov99.0063616095626162636261626662050590261400,000$
2Maxime Lagace100.00546158735954555858576072640505603021,200,000$
3Hugo Alnefelt100.0059535078615859616260595647050560228100,000$
4Lukas Parik100.0047484583494547494850555645050500227100,000$
MOYENNE D’ÉQUIPE97.508173707880847981818268736805068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette45908550757570USA581100,000$


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
1Steven StamkosRangersC/LW/RW6731599019160711132336117313.30%11124118.5491625552280000308251.22%139283001.4516000977
2Brock NelsonRangersC/LW643745823116048862305915116.09%9117218.3281624522131014636351.51%59851011.4026000487
3Zach HymanRangersC/LW/RW652942712816063712166615913.43%8116017.8651419421990000253347.31%9332001.2223000533
4Tomas HertlRangersC/LW6720446423160461241644111212.20%13116317.372131533205000003056.48%124303001.1000000451
5Brent BurnsRangersD67144761174205269110336612.73%61139320.80791659210000058110%036000.8800000322
6Mats ZuccarelloRangersLW/RW6719355436037105204611189.31%11116717.434812442170001322242.35%8521000.9326000402
7Patrick KaneRangersRW67213051514012801414810014.89%5110016.43561134210000004136.07%6171000.9323000023
8Boone JennerRangersC/LW62222749133601041211714714212.87%21112118.09235165800042322157.00%116533000.8701000325
9Phillip DanaultRangersC/LW68202747-91951041751745214311.49%21138320.3557123621900031642155.29%139823000.6813010441
10Darnell NurseRangersD6683139148315166688726609.20%66145322.025510442170001150110%045000.5400102305
11Evander KaneRangersLW/RW60191736-28515145491685111211.31%999316.56581331176000001239.62%5322000.7212101251
12Brandon TanevRangersLW/RW661419331243159864101387913.86%1594114.260111600021333243.33%9020000.7000012102
13Jacob TroubaRangersD6572431681151404732192921.88%81117618.100113150000168300%006000.5300111110
14Ryan GravesRangersD67613199560101533952915.38%60122418.27000000002196110%005000.3100000211
15Ryan PulockRangersD67112131940075362912233.45%50116317.360000300031980025.00%816000.2200000000
16Jonas BrodinRangersD67111121830066404613282.17%87123418.43000000113209100%004000.1900000011
17Dylan GambrellRangersC62178-41952840348292.94%35008.080001400001220047.48%47620000.3200010000
18Alexey ToropchenkoHartford Wolf Pack (NYR)LW/RW1941512011691844.44%322611.92101250001421052.63%1900000.4400000100
19Jon MerrillRangersD67112-31602416295143.45%125628.4000031500051280045.45%4400000.0700000000
20Mark FriedmanHartford Wolf Pack (NYR)D1000000100010%01717.800000000003000%00000000000000
21Andrew AgozzinoHartford Wolf Pack (NYR)C/LW3000-100101020%0237.990000700000000%20000000000000
Statistiques d’équipe totales ou en moyenne120427549276719963670139313632218646157812.40%5462042416.96581071654562216112291960422053.22%67274451010.751130346464141
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
1Filip GustavssonRangers45321120.8862.87271941130114359210.722184522122
2Cam TalbotRangers2212730.8723.641334208163456000.44492245000
Statistiques d’équipe totales ou en moyenne67441850.8813.12405461211177711521276767122


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Boone JennerRangersC/LW3007.07.1993No203 Lbs6 ft2NoNoN/ANoNo2Pro Only3,500,000$612,500$3,500,000$612,500$No3,500,000$--------No--------Lien NHL
Brandon TanevRangersLW/RW3107.07.1992No189 Lbs6 ft0NoNoN/ANoNo1Pro Only2,800,000$490,000$2,800,000$490,000$No------------------Lien NHL
Brent BurnsRangersD3807.07.1985No230 Lbs6 ft5NoNoN/ANoNo1Pro Only4,900,000$857,500$4,900,000$857,500$No------------------Lien NHL
Brock NelsonRangersC/LW3107.07.1992No210 Lbs6 ft4NoNoN/ANoNo2Pro Only2,800,000$490,000$2,800,000$490,000$No2,800,000$--------No--------Lien / Lien NHL
Cam TalbotRangersG3607.07.1987No201 Lbs6 ft4NoNoN/ANoNo1Pro Only1,700,000$297,500$1,700,000$297,500$No------------------Lien NHL
Darnell NurseRangersD2807.07.1995No221 Lbs6 ft4NoNoN/ANoNo4Pro Only5,500,000$962,500$5,500,000$962,500$No5,500,000$5,500,000$5,500,000$------NoNoNo------Lien NHL
Dylan GambrellRangersC2707.07.1996No185 Lbs5 ft11NoNoN/ANoNo1Pro Only700,000$122,500$700,000$122,500$No------------------Lien / Lien NHL
Evander KaneRangersLW/RW3207.07.1991No210 Lbs6 ft2NoNoN/ANoNo1Pro Only4,500,000$787,500$4,500,000$787,500$No------------------Lien NHL
Filip GustavssonRangersG2507.07.1998No184 Lbs6 ft2YesNoN/ANoNo1Pro Only2,800,000$490,000$2,800,000$490,000$No------------------Lien / Lien NHL
Jacob TroubaRangersD2907.07.1994No203 Lbs6 ft3NoNoN/ANoNo3Pro Only5,100,000$892,500$5,100,000$892,500$No5,100,000$5,100,000$-------NoNo-------Lien NHL
Jon MerrillRangersD3107.07.1992No204 Lbs6 ft3NoNoN/ANoNo3Pro Only600,000$105,000$600,000$105,000$No600,000$600,000$-------NoNo-------Lien NHL
Jonas BrodinRangersD3007.07.1993No196 Lbs6 ft2NoNoN/ANoNo2Pro Only3,900,000$682,500$3,900,000$682,500$No3,900,000$--------No--------Lien NHL
Mats ZuccarelloRangersLW/RW3607.07.1987No181 Lbs5 ft8NoNoN/ANoNo1Pro Only3,500,000$612,500$3,500,000$612,500$No------------------Lien NHL
Patrick KaneRangersRW3407.07.1989No177 Lbs5 ft10YesNoN/ANoNo2Pro Only5,600,000$980,000$5,600,000$980,000$No5,600,000$--------Yes--------Lien NHL
Phillip DanaultRangersC/LW3007.07.1993No200 Lbs6 ft1NoNoTrade31.03.2024NoNo131.03.2024Pro Only2,500,000$437,500$2,500,000$437,500$No------------------Lien / Lien NHL
Ryan GravesRangersD2807.07.1995No220 Lbs6 ft5NoNoN/ANoNo4Pro Only4,000,000$700,000$4,000,000$700,000$No4,000,000$4,000,000$4,000,000$------NoNoNo------Lien NHL
Ryan PulockRangersD2807.07.1995No216 Lbs6 ft2NoNoN/ANoNo3Pro Only4,200,000$735,000$4,200,000$735,000$No4,200,000$4,200,000$-------NoNo-------Lien NHL
Steven StamkosRangersC/LW/RW3307.07.1990No182 Lbs6 ft0YesNoN/ANoNo3Pro Only6,500,000$1,137,500$6,500,000$1,137,500$No6,500,000$6,500,000$-------YesYes-------Lien NHL
Tomas HertlRangersC/LW2907.07.1994No215 Lbs6 ft3NoNoN/ANoNo3Pro Only5,600,000$980,000$5,600,000$980,000$No5,600,000$5,600,000$-------NoNo-------Lien NHL
Zach HymanRangersC/LW/RW3107.07.1992No211 Lbs6 ft1NoNoN/ANoNo1Pro Only4,500,000$787,500$4,500,000$787,500$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.85202 Lbs6 ft22.003,760,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,200,000$47,300,000$31,500,000$9,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brock NelsonSteven StamkosZach Hyman31122
2Phillip DanaultTomas HertlEvander Kane31122
3Mats ZuccarelloBoone JennerPatrick Kane28122
4Jon MerrillDylan GambrellBrandon Tanev10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsRyan Graves36122
2Ryan Pulock36122
3Jacob TroubaJonas Brodin28131
4Jonas BrodinRyan Pulock0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boone JennerBrock NelsonSteven Stamkos55005
2Evander KaneTomas HertlZach Hyman45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick KaneBrent Burns50113
2Mats Zuccarello50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerPhillip Danault60131
2Dylan GambrellBrandon Tanev40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Graves55131
2Jacob TroubaJonas Brodin45131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Boone Jenner50140Ryan Graves50050
2Phillip Danault50140Jacob TroubaJonas Brodin50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven StamkosBrock Nelson50122
2Tomas HertlZach Hyman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJacob Trouba50122
2Jonas Brodin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brock NelsonSteven StamkosZach HymanBrent BurnsTomas Hertl
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DanaultBoone JennerBrandon TanevJacob Trouba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Tanev, Dylan Gambrell, Steven StamkosPhillip Danault, Brandon TanevBrock Nelson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jon Merrill, Ryan Pulock, Ryan GravesJacob TroubaBrent Burns, Ryan Pulock
Tirs de pénalité
Steven Stamkos, Mats Zuccarello, Brock Nelson, Phillip Danault, Patrick Kane
Gardien
#1 : Filip Gustavsson, #2 : Cam Talbot


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
1Avalanche1010000025-31010000025-30000000000000.0002460011002396802341318500.00%4250.00%01188226152.54%1070203352.63%588112552.27%2215247125
2Blackhawks21000100761110000005321000010023-130.7507132000025061920311561417356233.33%60100.00%01188226152.54%1070203352.63%588112552.27%523844132513
3Blue Jackets312000001112-1110000005412020000068-220.3331119300034408623333008425346912325.00%12283.33%01188226152.54%1070203352.63%588112552.27%715071213719
4Blues211000006601010000023-11100000043120.50061218001320701831210512414329444.44%7271.43%01188226152.54%1070203352.63%588112552.27%503340152914
5Bruins2020000048-41010000024-21010000024-200.0004610101030451015200401120334125.00%9277.78%01188226152.54%1070203352.63%588112552.27%453049152511
6Canadiens21001000633110000002021000100043141.00061117011401661928154521927568112.50%70100.00%01188226152.54%1070203352.63%588112552.27%513646132312
7Canucks210001007611000010034-11100000042230.75071219004120481714170651326366233.33%13561.54%01188226152.54%1070203352.63%588112552.27%433054122210
8Capitals4220000010822020000036-32200000072540.500101727005320111354432011735407318422.22%200100.00%11188226152.54%1070203352.63%588112552.27%8860103314823
9Coyotes11000000743110000007430000000000021.00071320002320351315702448234125.00%4175.00%01188226152.54%1070203352.63%588112552.27%2821187126
10Devils320010001477110000005322100100094561.0001424380027419434352417126176311545.45%6183.33%01188226152.54%1070203352.63%588112552.27%684569234221
11Ducks2010000179-21000000123-11010000056-110.25071219005202602514216551831348112.50%6266.67%01188226152.54%1070203352.63%588112552.27%523746142513
12Flames21100000862110000006331010000023-120.50081624003140782621310371620339222.22%8362.50%01188226152.54%1070203352.63%588112552.27%564138122413
13Flyers21100000550000000000002110000055020.50051015003110541421190401412459222.22%5180.00%01188226152.54%1070203352.63%588112552.27%523642132513
14Golden Knights21000010844110000006331000001021141.00081321001242568212210472714428337.50%70100.00%01188226152.54%1070203352.63%588112552.27%523747132412
15Hurricanes3200000113103220000008441000000156-150.8331322350037319634283347125187015213.33%9455.56%01188226152.54%1070203352.63%588112552.27%795361224324
16Islanders2110000010100110000006511010000045-120.500101626003430822525320842514449333.33%7185.71%01188226152.54%1070203352.63%588112552.27%432947162814
17Jets1010000046-2000000000001010000046-200.000481200310020893030915225120.00%50100.00%01188226152.54%1070203352.63%588112552.27%2114266125
18Kings20001010972100010004311000001054141.00091423002322681722248421124371119.09%11372.73%01188226152.54%1070203352.63%588112552.27%564145142412
19Kraken2110000056-1110000005321010000003-320.50058130022106615292204710144711218.18%60100.00%01188226152.54%1070203352.63%588112552.27%543840142513
20Lightning32100000151141010000034-122000000127540.6671527420057301083545280752351521200.00%10190.00%01188226152.54%1070203352.63%588112552.27%724963244322
21Maple Leafs32100000880110000003212110000056-140.66781422003140893230270911732549222.22%16287.50%01188226152.54%1070203352.63%588112552.27%765466203617
22Oilers210010001174110000007431000100043141.000112132004421582713171591726457114.29%13376.92%01188226152.54%1070203352.63%588112552.27%453051142512
23Panthers21000010862110000004311000001043141.0008132100214269331024584241441200.00%7185.71%01188226152.54%1070203352.63%588112552.27%463149142813
24Penguins21100000710-30000000000021100000710-320.5007121900313061341314064181240400.00%60100.00%01188226152.54%1070203352.63%588112552.27%442946152814
25Predators22000000963110000004311100000053241.00091726004230632123190421012228112.50%60100.00%01188226152.54%1070203352.63%588112552.27%564139122412
26Red Wings2200000014772200000014770000000000041.000142640004370731927270561714398337.50%70100.00%01188226152.54%1070203352.63%588112552.27%513744132312
27Sabres33000000166102200000010371100000063361.00016284400943010130413007726345710440.00%17288.24%01188226152.54%1070203352.63%588112552.27%704975223316
28Senators21100000541000000000002110000054120.50051015002210622514230441210346116.67%5180.00%01188226152.54%1070203352.63%588112552.27%543940122412
29Sharks22000000853110000004311100000042241.0008152300044073173521056166478112.50%30100.00%01188226152.54%1070203352.63%588112552.27%493546142412
30Stars220000001385110000008531100000053241.00013233600526067211531050142634900.00%13469.23%01188226152.54%1070203352.63%588112552.27%533741152413
31Wild210000011091110000006421000000145-130.7501017270017225714251694410336014428.57%14378.57%01188226152.54%1070203352.63%588112552.27%543744162613
Total6737180423326721552312260110113698383615120313213111714930.6942674737401187898414210066772268949177853464813372655721.51%2694682.90%11188226152.54%1070203352.63%588112552.27%166711671530488860435
_Since Last GM Reset6737180423326721552312260110113698383615120313213111714930.6942674737401187898414210066772268949177853464813372655721.51%2694682.90%11188226152.54%1070203352.63%588112552.27%166711671530488860435
_Vs Conference382212020111461153116124000006545202210802011817011510.67114625540111494945511974024093781410503173497701373122.63%1431887.41%11188226152.54%1070203352.63%588112552.27%919635878281494250
_Vs Division191070100170628752000002722512550100143403230.605701201900022272025841991991845531168147404781924.36%65986.15%11188226152.54%1070203352.63%588112552.27%448305442144254130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6793W326747374021001778534648133711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6737184233267215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31226110113698
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3615123132131117
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2655721.51%2694682.90%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
6677226894987898414
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
1188226152.54%1070203352.63%588112552.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166711671530488860435


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
14Rangers6Sabres3AWSommaire du match
320Rangers3Blue Jackets4ALSommaire du match
426Coyotes4Rangers7BWSommaire du match
856Predators3Rangers4BWSommaire du match
1080Rangers0Kraken3ALSommaire du match
1297Rangers2Flames3ALSommaire du match
13104Rangers4Oilers3AWXSommaire du match
15121Rangers4Canucks2AWSommaire du match
17136Rangers4Jets6ALSommaire du match
19145Hurricanes3Rangers4BWSommaire du match
21166Rangers4Wild5ALXXSommaire du match
23179Red Wings2Rangers7BWSommaire du match
25194Wild4Rangers6BWSommaire du match
28221Blue Jackets4Rangers5BWSommaire du match
32251Rangers5Devils1AWSommaire du match
35274Stars5Rangers8BWSommaire du match
36282Rangers1Penguins6ALSommaire du match
38301Rangers1Flyers3ALSommaire du match
40315Bruins4Rangers2BLSommaire du match
41323Sabres2Rangers6BWSommaire du match
44348Red Wings5Rangers7BWSommaire du match
45358Rangers5Predators3AWSommaire du match
47373Rangers1Senators2ALSommaire du match
49389Rangers4Capitals1AWSommaire du match
51407Sharks3Rangers4BWSommaire du match
52414Kings3Rangers4BWXSommaire du match
54432Maple Leafs2Rangers3BWSommaire du match
57456Ducks3Rangers2BLXXSommaire du match
58462Rangers2Bruins4ALSommaire du match
61490Rangers2Maple Leafs4ALSommaire du match
63504Oilers4Rangers7BWSommaire du match
65521Sabres1Rangers4BWSommaire du match
66530Capitals3Rangers1BLSommaire du match
68547Rangers6Lightning3AWSommaire du match
70567Rangers4Panthers3AWXXSommaire du match
72578Blackhawks3Rangers5BWSommaire du match
74598Hurricanes1Rangers4BWSommaire du match
75606Rangers4Canadiens3AWXSommaire du match
77623Rangers4Blues3AWSommaire du match
79636Canucks4Rangers3BLXSommaire du match
81650Rangers3Capitals1AWSommaire du match
83668Capitals3Rangers2BLSommaire du match
84674Kraken3Rangers5BWSommaire du match
86698Rangers2Golden Knights1AWXXSommaire du match
88715Rangers5Kings4AWXXSommaire du match
89722Rangers5Ducks6ALSommaire du match
91740Rangers4Sharks2AWSommaire du match
94759Golden Knights3Rangers6BWSommaire du match
95769Rangers4Senators2AWSommaire du match
97783Avalanche5Rangers2BLSommaire du match
99798Lightning4Rangers3BLSommaire du match
100815Rangers2Blackhawks3ALXSommaire du match
102825Flames3Rangers6BWSommaire du match
104841Canadiens0Rangers2BWSommaire du match
105851Rangers4Islanders5ALSommaire du match
109883Rangers4Devils3AWXSommaire du match
112913Rangers5Stars3AWSommaire du match
113918Rangers3Blue Jackets4ALSommaire du match
116942Rangers4Flyers2AWSommaire du match
118959Rangers3Maple Leafs2AWSommaire du match
121986Panthers3Rangers4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231001Blues3Rangers2BLSommaire du match
1251018Devils3Rangers5BWSommaire du match
1261026Rangers5Hurricanes6ALXXSommaire du match
1281046Rangers6Lightning4AWSommaire du match
1301059Rangers6Penguins4AWSommaire du match
1321074Islanders5Rangers6BWSommaire du match
1331085Jets-Rangers-
1361104Rangers-Bruins-
1371114Panthers-Rangers-
1401138Flyers-Rangers-
1421158Rangers-Avalanche-
1441177Rangers-Coyotes-
1451180Penguins-Rangers-
1471195Devils-Rangers-
1491215Rangers-Red Wings-
1521237Canadiens-Rangers-
1531245Rangers-Islanders-
1551262Flyers-Rangers-
1571278Islanders-Rangers-
1591293Senators-Rangers-
1601303Blue Jackets-Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80004000500020001000
Prix des billets112624232225
Assistance240,663119,794148,53857,70430,136
Attendance PCT97.04%96.61%95.83%93.07%97.21%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 19253 - 96.26% 1,647,379$51,068,750$20000144

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
60,838,750$ 75,200,000$ 75,200,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
470,000$ 60,756,250$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
16,473,790$ 28 470,625$ 13,177,500$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
13,427,764$ 4,702,020$ 7,748,046$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,916,250$ 83,750$ 74,000,000$ 29,916,250$



Charte de profondeur

Ailier gaucheCentreAilier droit
Steven StamkosAGE:33PO:0OV:75
Zach HymanAGE:31PO:0OV:74
Brock NelsonAGE:31PO:0OV:74
Mats ZuccarelloAGE:36PO:0OV:72
Boone JennerAGE:30PO:0OV:72
Phillip DanaultAGE:30PO:0OV:71
Evander KaneAGE:32PO:0OV:71
Tomas HertlAGE:29PO:0OV:71
Brandon TanevAGE:31PO:0OV:68
Alexey ToropchenkoAGE:24PO:0OV:64
Andrew AgozzinoAGE:32PO:0OV:61
Brendan GaunceAGE:29PO:0OV:59
Riley SheahanAGE:31PO:0OV:58
Jonathan Gruden (R)AGE:23PO:0OV:57
Curtis McKenzieAGE:32PO:0OV:57
Xavier SimoneauAGE:22PO:0OV:53
Ben McCartneyAGE:22PO:0OV:52
Kirill TyutyayevAGE:23PO:0OV:52
Karl HenrikssonAGE:22PO:0OV:51
Steven StamkosAGE:33PO:0OV:75
Zach HymanAGE:31PO:0OV:74
Brock NelsonAGE:31PO:0OV:74
Boone JennerAGE:30PO:0OV:72
Phillip DanaultAGE:30PO:0OV:71
Tomas HertlAGE:29PO:0OV:71
Dylan GambrellAGE:27PO:0OV:62
Andrew AgozzinoAGE:32PO:0OV:61
Chris WagnerAGE:32PO:0OV:60
Brendan GaunceAGE:29PO:0OV:59
Vinni LettieriAGE:28PO:0OV:58
Riley SheahanAGE:31PO:0OV:58
Curtis McKenzieAGE:32PO:0OV:57
Xavier SimoneauAGE:22PO:0OV:53
Kirill TyutyayevAGE:23PO:0OV:52
Karl HenrikssonAGE:22PO:0OV:51
Steven StamkosAGE:33PO:0OV:75
Zach HymanAGE:31PO:0OV:74
Mats ZuccarelloAGE:36PO:0OV:72
Evander KaneAGE:32PO:0OV:71
Patrick KaneAGE:34PO:0OV:70
Brandon TanevAGE:31PO:0OV:68
Alexey ToropchenkoAGE:24PO:0OV:64
Chris WagnerAGE:32PO:0OV:60
Vinni LettieriAGE:28PO:0OV:58
Carson Meyer (R)AGE:26PO:0OV:58
Curtis McKenzieAGE:32PO:0OV:57
William Dufour (R)AGE:21PO:0OV:56
Xavier SimoneauAGE:22PO:0OV:53
Ben McCartneyAGE:22PO:0OV:52
Kirill TyutyayevAGE:23PO:0OV:52
Karl HenrikssonAGE:22PO:0OV:51

Défense #1Défense #2Gardien
Brent BurnsAGE:38PO:0OV:73
Darnell NurseAGE:28PO:0OV:72
Jacob TroubaAGE:29PO:0OV:71
Ryan PulockAGE:28PO:0OV:69
Ryan GravesAGE:28PO:0OV:69
Jonas BrodinAGE:30PO:0OV:68
Jon MerrillAGE:31PO:0OV:65
Mark FriedmanAGE:27PO:0OV:62
Gustav OlofssonAGE:28PO:0OV:60
Andrej SustrAGE:32PO:0OV:57
Patrick KudlaAGE:27PO:0OV:54
Andrew NielsenAGE:26PO:0OV:54
Michael KarowAGE:24PO:0OV:54
Jake MassieAGE:26PO:0OV:53
Chaz ReddekoppAGE:26PO:0OV:53
Filip GustavssonAGE:25PO:0OV:70
Cam TalbotAGE:36PO:0OV:66
Ivan FedotovAGE:26PO:0OV:59
Maxime LagaceAGE:30PO:0OV:56
Hugo AlnefeltAGE:22PO:0OV:56
Lukas ParikAGE:22PO:0OV:50

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
Antti PalojarviRangers00
Cameron BergRangers00
Colby AmbrosioRangers00
Connor LockhartRangers00
Jack KopackaRangers00
Jakob StukelRangers00
Jeremy HelvigRangers00
Linus NassenRangers00
Manix LandryRangers00
Mark ShoemakerRangers00
Miguel FidlerRangers00
Ryan ConmyRangers00
Yegor SerdyukRangers00
Yevgeni KashnikovRangers00

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Rangers Historique de transactions

[10.04.2024 21:08:19] - Ivan Fedotov was added to Rangers.
[08.04.2024 22:47:32] - TRADE : From Rangers to Wild : Tyler Pitlick (63).
[31.03.2024 22:45:31] - TRADE : From Rangers to Hurricanes : Y:24-RND:2-NYR, Y:24-RND:4-COL.
[31.03.2024 22:45:31] - TRADE : From Hurricanes to Rangers : Phillip Danault (71).
[21.11.2023 1:38:54] - Rangers hired Peter Laviolette for $100,000 for 1 year(s).
[20.11.2023 10:50:28] - TRADE : From Canadiens to Rangers : Andrej Sustr (57), Chaz Reddekopp (53).
[20.11.2023 10:50:28] - TRADE : From Rangers to Canadiens : Byron Froese (60), Brandon Kruse (51).



[22.04.2024 22:00:01] Alexey Toropchenko of Rangers was sent to farm.
[22.04.2024 21:59:26] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[22.04.2024 21:59:25] Successfully loaded Rangers lines done with STHS Client - 3.3.5.5
[22.04.2024 21:59:25] Alexey Toropchenko of Rangers was sent to pro.
[20.04.2024 22:32:01] Game 1059 - Michael Karow from Hartford Wolf Pack is injured (Strained Left Elbow) and is out for 1 week.
[20.04.2024 22:32:01] Game 1059 - Darnell Nurse from Rangers is injured (Left Forearm) and is out for 2 weeks.
[19.04.2024 21:24:13] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:104.28.62.10 .
[18.04.2024 21:44:11] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:109.81.89.51 .
[18.04.2024 21:43:00] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:109.81.89.51 .
[17.04.2024 22:38:50] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:104.28.88.132 .
[16.04.2024 23:45:16] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:46.183.64.22 .
[15.04.2024 1:57:35] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[15.04.2024 1:56:10] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[12.04.2024 21:54:34] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[12.04.2024 21:54:06] Successfully loaded Rangers lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .



Darnell Nurse est dehors pour 1 semaine à cause de Left Forearm Injury.
Michael Karow est dehors pour 4 jours à cause de Strained Left Elbow Injury.



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

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

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

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

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