Connexion

New York Rangers
GP: 5 | W: 1 | L: 4
GF: 8 | GA: 16 | PP%: 7.69% | PK%: 92.86%
DG: Carter Phythian | Morale : 99 | Moyenne d’équipe : 76
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Centre de jeu
New Jersey Devils
14-10-0, 28pts
3
FINAL
2 New York Rangers
1-4-0, 2pts
Team Stats
L3SéquenceL1
8-5-0Fiche domicile1-1-0
6-5-0Fiche visiteur0-3-0
4-5-1Derniers 10 matchs1-3-1
2.88Buts par match 1.60
2.54Buts contre par match 3.20
16.67%Pourcentage en avantage numérique7.69%
82.19%Pourcentage en désavantage numérique92.86%
New York Rangers
1-4-0, 2pts
0
FINAL
3 New Jersey Devils
14-10-0, 28pts
Team Stats
L1SéquenceL3
1-1-0Fiche domicile8-5-0
0-3-0Fiche visiteur6-5-0
1-3-1Derniers 10 matchs4-5-1
1.60Buts par match 2.88
3.20Buts contre par match 2.54
7.69%Pourcentage en avantage numérique16.67%
92.86%Pourcentage en désavantage numérique82.19%
Meneurs d'équipe
J.T. MillerButs
J.T. Miller
2
Erik KarlssonPasses
Erik Karlsson
2
Erik KarlssonPoints
Erik Karlsson
2
Jaccob SlavinPlus/Moins
Jaccob Slavin
2
Thatcher DemkoVictoires
Thatcher Demko
1
Thatcher DemkoPourcentage d’arrêts
Thatcher Demko
0.892

Statistiques d’équipe
Buts pour
8
1.60 GFG
Tirs pour
137
27.40 Avg
Pourcentage en avantage numérique
7.7%
1 GF
Début de zone offensive
41.8%
Buts contre
16
3.20 GAA
Tirs contre
140
28.00 Avg
Pourcentage en désavantage numérique
92.9%%
1 GA
Début de la zone défensive
35.0%
Informations de l'équipe

Directeur généralCarter Phythian
EntraîneurMike Yeo
DivisionMetropolitan Division
ConférenceEastern Conference
CapitaineJaccob Slavin
Assistant #1Erik Karlsson
Assistant #2Elias Lindholm


Informations de l’aréna

NomMadison Square Garden
Capacité18,006
Assistance13,415
Billets de saison12,604


Informations de la formation

Équipe Pro21
Équipe Mineure36
Limite contact 57 / 65
Espoirs40


Plafond salarial Non Activé

Cap Salarial de la Saison estimé0$
Plafond salarial disponible83,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour5,394,180$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel308,488,307$
Compte bancaire projeté308,488,307$


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
1J.T. Miller0XXX100.008168698884919192838987868986820498323015,250,000$
2Elias Lindholm (A)0XX100.007447898979909090848383868784790788102934,850,000$
3Adrian Kempe0XXX100.007454709083898791527791769077670748002765,500,000$
4Kirill Kaprizov0XX100.007250719080887893428493709259520737902679,000,000$
5Erik Haula0XX100.007754718475869085827975828184740557703212,000,000$
6Frederick Gaudreau0XX100.00714393897486878374777683827767071770302775,000$
7Pierre-Luc Dubois0XX100.007457647886878689728183718374640527702516,000,000$
8Kailer Yamamoto0X100.007747779269868480477672758174640777412533,100,000$
9Tyson Jost0XX100.007457758077838777647567757477670747202512,000,000$
10Sam Steel0XX100.00694785797683827773756971756959076710251825,000$
11Matias Maccelli (R)0X100.00644784817685737840776865765650078700232853,333$
12Noah Gregor0XX100.00795773777984807950696971756454075700251950,000$
13Jaccob Slavin (C)0X100.006943948483918884407969967979750778002945,300,000$
14Erik Karlsson (A)0X100.0066507684759292924091837386898506479133811,500,000$
15Brandon Carlo0X100.007757747890888778407266947477690787802784,800,000$
16Ryan Graves0X100.007150787987888483407671927869590787712813,166,667$
17Shea Theodore0X100.006547837881908687408174767979690757512855,200,000$
18Jacob Bryson0X100.006843917973857871406862757159520766902621,850,000$
Rayé
1Sonny Milano0XX100.00694787757883868040777267757969060720271775,000$
Équipe Mineure
1Connor Dewar (R)0X100.00775869817680747370706575735650078680242825,833$
2Brett Howden0X100.007754697583837973766867727269590696802511,500,000$
3Rasmus Asplund0X100.00664390757682797350696469716454079660261825,000$
4Joey Anderson (R)0X100.00664480737778726941626566696557078640252775,000$
5David Gustafsson (R)0X100.00684582728176736769645968676154078640233775,000$
6Jake Neighbours (R)0X100.00714471717877706947636565695650078630214835,833$
7Riley Tufte (R)0X100.00696157637365646342595965625350079590252925,000$
8Michael Eyssimont (R)0XX100.00503595825858707750455059556369078580272775,000$
9Jean-Luc Foudy (R)0X100.00634467706061596358625563635050065580212878,333$
10Grigori Denisenko (R)0X100.00564865666363626342605551615150054560231925,000$
11Damien Giroux (R)0XX100.00554469676063626054585253595150079550231850,000$
12Martin Pospisil (R)0XX100.00605563686160585940555357605150054550241796,667$
13Ethan Keppen (R)0X100.00625163596659595740545454575050020530222775,000$
14Cameron Hillis (R)0X100.00554467675860575550515153585150020530232838,333$
15Akil Thomas (R)0X100.00564467675960575647515353595150020530242795,000$
16Josh Lopina (R)0X100.00604567616561605650515151565050020520225878,333$
17Kody Clark (R)0X100.00535253585557535340525152535050020510241863,333$
18Ivan Lodnia (R)0X100.00534753565554525240505152525050020500243875,000$
19Haydn Fleury0X100.00654778728683766940616170687464078670273775,000$
20Dennis Cholowski0X100.00614568686564646440645268625350078600253775,000$
21Noel Hoefenmayer (R)0X100.00605955696362636540636166655150078590253775,000$
22Anthony Bitetto0X100.00576057596871716240575658596555078580333775,000$
23Jacob Larsson (R)0X100.00594964676467666240585362615450078580261775,000$
24Brandon Burlon0X100.00593575745663625245465356407358078560333775,000$
25Aleksi Heponiemi (R)0X100.00544372715264646359655559645251065580241775,000$
26Paul Bittner (R)0X100.00583575716067695550455355516048019540271775,000$
27Nikita Popugaev (R)0X100.00623575756065654951485550536048027540251775,000$
28Arsen Khisamutdinov (R)0XX100.00523575745366674745554550546048020530252775,000$
29Tyler Cuma0X100.00513575716165695246555350407358080560333775,000$
30Tyler Nanne0X100.00543575686065705550555153407358054560272775,000$
31Jesper Sellgren (R)0X100.00563575725563625453485553407358054560252803,333$
32Christian Djoos0X100.00603575735661674651495250407358026550293775,000$
MOYENNE D’ÉQUIPE100.0072517983798785845578757880746607176
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
1Thatcher Demko0100.00878888819187848585898374670798202865,000,000$
2Filip Gustavsson (R)0100.0090818178878786878786825952079790251787,500$
Rayé
Équipe Mineure
1Laurent Brossoit0100.00838078897980788080807782750807803012,325,000$
2Anthony Stolarz0100.0081818095797974798180807770078780291950,000$
3Brandon Halverson0100.0075757583837074727165497070022720271800,000$
4Andrey Makarov0100.0064726474756972767361455555022670304775,000$
MOYENNE D’ÉQUIPE100.008985858089878586868883676007981
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo80808080808080CAN5415950,000$


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
1Erik KarlssonNew York RangersD5022-6405410540%512224.5001101300003000%025000.3300000000
2Kailer YamamotoNew York RangersRW5112-17511164416.67%17414.9600000000170050.00%621000.5300001000
3Adrian KempeNew York RangersC/LW/RW5112-4007719395.26%09018.0000029000061066.67%361000.4400000100
4J.T. MillerNew York RangersC/LW/RW5202080912147614.29%19719.601012120000110055.29%8512000.4100000000
5Kirill KaprizovNew York RangersLW/RW5112-1206314467.14%27715.5501131200000000%261000.5100000000
6Jaccob SlavinNew York RangersD50222003109230%511422.81000013000015000%026000.3500000000
7Frederick GaudreauNew York RangersC/RW51120002962416.67%37314.6800002000000033.33%323000.5400000000
8Elias LindholmNew York RangersC/RW5101-1555672314.29%39418.900002110000150047.42%9721000.2100001000
9Matias MaccelliNew York RangersLW5011-200446680%07715.4100000000030040.00%524000.2600000000
10Shea TheodoreNew York RangersD5011-720586140%611923.8400008000010000%013000.1700000000
11Sam SteelNew York RangersC/LW5101-3004562316.67%1448.8000000000000047.37%1910000.4500000001
12Pierre-Luc DuboisNew York RangersC/LW5011-300798460%08016.1700009000000038.46%5240000.2500000000
13Erik HaulaNew York RangersC/LW5000-22011813260%09719.460000100003100028.57%72000000000000
14Ryan GravesNew York RangersD5000-440144220%58617.3700000000010000%02300000000000
15Brandon CarloNew York RangersD5000100250020%59819.6400005000015000%01300000000000
16Noah GregorNew York RangersLW/RW5000-300444120%0448.80000000000000100.00%10000000000000
17Jacob BrysonNew York RangersD5000-3003112210%07014.160000000000000%00300000000000
18Tyson JostNew York RangersC/LW5000-340773020%1438.780000000000000%02100000000000
Statistiques d’équipe totales ou en moyenne9081119-4038109611713749755.84%38150716.75123911200041101047.50%2803837000.2500002101
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
1Thatcher DemkoNew York Rangers51310.8922.94306001513973110050010
Statistiques d’équipe totales ou en moyenne51310.8922.9430600151397311050010


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 Plafond 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
Adrian KempeNew York RangersC/LW/RW279/13/1996No200 Lbs6 ft2NoNoN/ANoNo6Pro & Farm5,500,000$5,500,000$0$No5,500,000$5,500,000$5,500,000$5,500,000$5,500,000$----NoNoNoNoNo----Lien NHL
Brandon CarloNew York RangersD2711/26/1996No218 Lbs6 ft6NoNoN/ANoNo8Pro & Farm4,800,000$4,800,000$0$No4,800,000$4,800,000$4,800,000$4,800,000$4,800,000$4,800,000$4,800,000$--NoNoNoNoNoNoNo--Lien NHL
Elias Lindholm (contrat à 1 volet)New York RangersC/RW2912/2/1994No202 Lbs6 ft1NoNoN/ANoNo3Pro & Farm4,850,000$4,850,000$0$No4,850,000$4,850,000$-------NoNo-------Lien NHL
Erik HaulaNew York RangersC/LW323/23/1991No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm2,000,000$2,000,000$0$No------------------Lien NHL
Erik Karlsson (contrat à 1 volet)New York RangersD335/31/1990No190 Lbs6 ft0NoNoN/ANoNo8Pro & Farm11,500,000$11,500,000$0$No11,500,000$11,500,000$11,500,000$11,500,000$11,500,000$11,500,000$11,500,000$--NoNoNoNoNoNoNo--Lien NHL
Filip GustavssonNew York RangersG256/7/1998Yes184 Lbs6 ft2NoNoN/ANoNo1Pro & Farm787,500$787,500$0$No------------------Lien NHL
Frederick GaudreauNew York RangersC/RW305/1/1993No184 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$775,000$0$No775,000$--------No--------Lien NHL
J.T. Miller (contrat à 1 volet)New York RangersC/LW/RW303/14/1993No218 Lbs6 ft1NoNoN/ANoNo1Pro & Farm5,250,000$5,250,000$0$No------------------Lien NHL
Jaccob Slavin (contrat à 1 volet)New York RangersD295/1/1994No207 Lbs6 ft3NoNoN/ANoNo4Pro & Farm5,300,000$5,300,000$0$No5,300,000$5,300,000$5,300,000$------NoNoNo------Lien NHL
Jacob BrysonNew York RangersD2611/18/1997No176 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,850,000$1,850,000$0$No1,850,000$--------No--------Lien NHL
Kailer YamamotoNew York RangersRW259/29/1998No153 Lbs5 ft8NoNoN/ANoNo3Pro & Farm3,100,000$3,100,000$0$No3,100,000$3,100,000$-------NoNo-------Lien NHL
Kirill KaprizovNew York RangersLW/RW264/26/1997No202 Lbs5 ft10NoNoN/ANoNo7Pro & Farm9,000,000$9,000,000$0$No9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$---NoNoNoNoNoNo---Lien NHL
Matias MaccelliNew York RangersLW2310/14/2000Yes176 Lbs5 ft11NoNoN/ANoNo2Pro & Farm853,333$853,333$0$No853,333$--------No--------Lien NHL
Noah GregorNew York RangersLW/RW257/28/1998No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm950,000$950,000$0$No------------------Lien NHL
Pierre-Luc Dubois (contrat à 1 volet)New York RangersC/LW256/24/1998No214 Lbs6 ft4NoNoN/ANoNo1Pro & Farm6,000,000$6,000,000$0$No------------------Lien NHL
Ryan Graves (contrat à 1 volet)New York RangersD285/21/1995No220 Lbs6 ft5NoNoN/ANoNo1Pro & Farm3,166,667$3,166,667$0$No------------------Lien NHL
Sam SteelNew York RangersC/LW252/3/1998No184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm825,000$825,000$0$No------------------Lien NHL
Shea Theodore (contrat à 1 volet)New York RangersD288/3/1995No197 Lbs6 ft2NoNoN/ANoNo5Pro & Farm5,200,000$5,200,000$0$No5,200,000$5,200,000$5,200,000$5,200,000$-----NoNoNoNo-----Lien NHL
Sonny MilanoNew York RangersLW/RW275/12/1996No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$775,000$0$No------------------Lien NHL
Thatcher DemkoNew York RangersG2812/8/1995No192 Lbs6 ft4NoNoN/ANoNo6Pro & Farm5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$----NoNoNoNoNo----Lien NHL
Tyson JostNew York RangersC/LW253/14/1998No187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm2,000,000$2,000,000$0$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.29194 Lbs6 ft13.103,784,881$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
79,482,500$57,728,333$54,250,000$46,300,000$41,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matias MaccelliJ.T. MillerKirill Kaprizov33113
2Erik HaulaElias LindholmKailer Yamamoto30122
3Adrian KempePierre-Luc DuboisFrederick Gaudreau29122
4Tyson JostSam SteelNoah Gregor8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinErik Karlsson40122
2Shea TheodoreBrandon Carlo30122
3Ryan GravesJacob Bryson20122
4Jaccob SlavinErik Karlsson10113
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.T. MillerElias LindholmKirill Kaprizov60113
2Pierre-Luc DuboisErik HaulaAdrian Kempe40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinErik Karlsson60113
2Brandon CarloShea Theodore40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Elias LindholmJ.T. Miller60122
2Adrian KempeErik Haula40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinBrandon Carlo60122
2Shea TheodoreRyan Graves40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Elias Lindholm60122Jaccob SlavinBrandon Carlo60122
2J.T. Miller40122Shea TheodoreRyan Graves40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Elias LindholmKirill Kaprizov50122
2Adrian KempeJ.T. Miller50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinShea Theodore50122
2Erik KarlssonBrandon Carlo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovElias LindholmAdrian KempeErik KarlssonShea Theodore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovElias LindholmPierre-Luc DuboisJaccob SlavinShea Theodore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Lindholm, J.T. Miller, Kailer YamamotoElias Lindholm, Pierre-Luc DuboisKailer Yamamoto
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Graves, Jaccob Slavin, Erik KarlssonRyan GravesShea Theodore, Erik Karlsson
Tirs de pénalité
Kirill Kaprizov, Adrian Kempe, Pierre-Luc Dubois, Elias Lindholm, Erik Haula
Gardien
#1 : Thatcher Demko, #2 : Filip Gustavsson, #3 : 0
Lignes d’attaque personnalisées en prolongation
Kirill Kaprizov, Elias Lindholm, J.T. Miller, Adrian Kempe, Erik Haula, Pierre-Luc Dubois, Pierre-Luc Dubois, Kailer Yamamoto, Frederick Gaudreau, Sam Steel, Noah Gregor
Lignes de défense personnalisées en prolongation
Erik Karlsson, Jaccob Slavin, Shea Theodore, Brandon Carlo, Ryan Graves


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
1New Jersey Devils51400000816-82110000044030300000412-820.2008111910440013743494231403838961317.69%14192.86%05611747.86%529853.06%256538.46%11168110448542
Total51400000816-82110000044030300000412-820.2008111910440013743494231403838961317.69%14192.86%05611747.86%529853.06%256538.46%11168110448542
_Since Last GM Reset51400000816-82110000044030300000412-820.2008111910440013743494231403838961317.69%14192.86%05611747.86%529853.06%256538.46%11168110448542
_Vs Conference51400000816-82110000044030300000412-820.2008111910440013743494231403838961317.69%14192.86%05611747.86%529853.06%256538.46%11168110448542
_Vs Division51400000816-82110000044030300000412-820.2008111910440013743494231403838961317.69%14192.86%05611747.86%529853.06%256538.46%11168110448542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L18111913714038389610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5140000816
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000044
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000412
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1317.69%14192.86%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
43494234400
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
5611747.86%529853.06%256538.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11168110448542


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
14New York Rangers3New Jersey Devils5ALSommaire du match
212New York Rangers1New Jersey Devils4ALSommaire du match
320New Jersey Devils1New York Rangers2BWSommaire du match
428New Jersey Devils3New York Rangers2BLXSommaire du match
536New York Rangers0New Jersey Devils3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité6000500020004186820
Prix des billets1751158065400
Assistance9,5697,3332,8005,8891,239
Attendance PCT79.74%73.33%70.00%70.34%75.55%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 13415 - 74.50% 2,697,090$5,394,180$18006100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 79,482,500$ 79,432,500$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 308,488,307$ 308,488,307$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 83,500,000$ 83,500,000$ -60,200,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
J.T. MillerAGE:30PO:0OV:83
Adrian KempeAGE:27PO:0OV:80
Kirill KaprizovAGE:26PO:0OV:79
Erik HaulaAGE:32PO:0OV:77
Pierre-Luc DuboisAGE:25PO:0OV:77
Sonny MilanoAGE:27PO:0OV:72
Tyson JostAGE:25PO:0OV:72
Sam SteelAGE:25PO:0OV:71
Matias Maccelli (R)AGE:23PO:0OV:70
Noah GregorAGE:25PO:0OV:70
Jake Neighbours (R)AGE:21PO:0OV:63
Riley Tufte (R)AGE:25PO:0OV:59
Grigori Denisenko (R)AGE:23PO:0OV:56
Paul Bittner (R)AGE:27PO:0OV:54
Ethan Keppen (R)AGE:22PO:0OV:53
Arsen Khisamutdinov (R)AGE:25PO:0OV:53
J.T. MillerAGE:30PO:0OV:83
Elias LindholmAGE:29PO:0OV:81
Adrian KempeAGE:27PO:0OV:80
Erik HaulaAGE:32PO:0OV:77
Frederick GaudreauAGE:30PO:0OV:77
Pierre-Luc DuboisAGE:25PO:0OV:77
Tyson JostAGE:25PO:0OV:72
Sam SteelAGE:25PO:0OV:71
Connor Dewar (R)AGE:24PO:0OV:68
Brett HowdenAGE:25PO:0OV:68
Rasmus AsplundAGE:26PO:0OV:66
David Gustafsson (R)AGE:23PO:0OV:64
Aleksi Heponiemi (R)AGE:24PO:0OV:58
Michael Eyssimont (R)AGE:27PO:0OV:58
Jean-Luc Foudy (R)AGE:21PO:0OV:58
Damien Giroux (R)AGE:23PO:0OV:55
Martin Pospisil (R)AGE:24PO:0OV:55
Cameron Hillis (R)AGE:23PO:0OV:53
Akil Thomas (R)AGE:24PO:0OV:53
Arsen Khisamutdinov (R)AGE:25PO:0OV:53
Josh Lopina (R)AGE:22PO:0OV:52
J.T. MillerAGE:30PO:0OV:83
Elias LindholmAGE:29PO:0OV:81
Adrian KempeAGE:27PO:0OV:80
Kirill KaprizovAGE:26PO:0OV:79
Frederick GaudreauAGE:30PO:0OV:77
Kailer YamamotoAGE:25PO:0OV:74
Sonny MilanoAGE:27PO:0OV:72
Noah GregorAGE:25PO:0OV:70
Joey Anderson (R)AGE:25PO:0OV:64
Michael Eyssimont (R)AGE:27PO:0OV:58
Damien Giroux (R)AGE:23PO:0OV:55
Martin Pospisil (R)AGE:24PO:0OV:55
Nikita Popugaev (R)AGE:25PO:0OV:54
Kody Clark (R)AGE:24PO:0OV:51
Ivan Lodnia (R)AGE:24PO:0OV:50

Défense #1Défense #2Gardien
Jaccob SlavinAGE:29PO:0OV:80
Erik KarlssonAGE:33PO:0OV:79
Brandon CarloAGE:27PO:0OV:78
Ryan GravesAGE:28PO:0OV:77
Shea TheodoreAGE:28PO:0OV:75
Jacob BrysonAGE:26PO:0OV:69
Haydn FleuryAGE:27PO:0OV:67
Dennis CholowskiAGE:25PO:0OV:60
Noel Hoefenmayer (R)AGE:25PO:0OV:59
Anthony BitettoAGE:33PO:0OV:58
Jacob Larsson (R)AGE:26PO:0OV:58
Tyler CumaAGE:33PO:0OV:56
Tyler NanneAGE:27PO:0OV:56
Brandon BurlonAGE:33PO:0OV:56
Jesper Sellgren (R)AGE:25PO:0OV:56
Christian DjoosAGE:29PO:0OV:55
Thatcher DemkoAGE:28PO:0OV:82
Filip Gustavsson (R)AGE:25PO:0OV:79
Laurent BrossoitAGE:30PO:0OV:78
Anthony StolarzAGE:29PO:0OV:78
Brandon HalversonAGE:27PO:0OV:72
Andrey MakarovAGE:30PO:0OV:67

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
Alex DostieNew York Rangers00
Angus BoothNew York Rangers00
Ben MacDonaldNew York Rangers00
Benjamin BaumgartnerNew York Rangers00
Brad GardinerNew York Rangers2023840Lien
Brayden YagerNew York Rangers2023200Lien
Brendan BrissonNew York Rangers00
Cameron MorrisonNew York Rangers00
Cooper FosterNew York Rangers20231800Lien
David HrenakNew York Rangers00
Ethan CardwellNew York Rangers00
Ethan MiedemaNew York Rangers20231260Lien
Florian XhekajNew York Rangers20231160Lien
Frederik Nissen DichowNew York Rangers00
Janis Jerome MoserNew York Rangers00
Jared DavidsonNew York Rangers00
Jesper EliassonNew York Rangers00
John WalkerNew York Rangers00
Joni IkonenNew York Rangers00
Kasper SimontaivalNew York Rangers00
Keither PetruzzelliNew York Rangers00
Leevi AaltonenNew York Rangers00
Logan NeatonNew York Rangers00
Marcus KarlbergNew York Rangers00
Matteo CostantiniNew York Rangers00
Matyas SapovalivNew York Rangers00
Maveric LamoureuxNew York Rangers00
Miko MatikkaNew York Rangers00
Nathan BastienNew York Rangers00
Patrik PuistolaNew York Rangers00
Pavel DorofevevNew York Rangers00
Ryan ManthaNew York Rangers00
Samuel JonssonNew York Rangers00
Samuel KnazkoNew York Rangers00
Santeri VirtanenNew York Rangers00
Slava DeminNew York Rangers00
Sutter MuzzattiNew York Rangers20231480Lien
Vladimir NikitinNew York Rangers20232120Lien
Wade AlisonNew York Rangers00
Zam PlanteNew York Rangers00

Choix au repêchage

Année R1R2R3R4R5R6R7
20
22
Choix au repêchage conditionnel



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


New York Rangers Historique de transactions

[12/19/2023 7:20:55 AM] - Hartford Wolf Pack was eliminated at round 1 of year 18.
[12/17/2023 3:44:56 PM] - New York Rangers was eliminated at round 1 of year 18.
[11/13/2023 6:03:53 PM] - TRADE : From Washington Capitals to New York Rangers : Pierre-Luc Dubois (77).
[11/13/2023 6:03:53 PM] - TRADE : From New York Rangers to Washington Capitals : Pavel Buchnevich (78).
[11/11/2023 11:22:16 PM] - TRADE : From New York Rangers to Buffalo Sabres : Conor Sheary (75).
[10/18/2023 9:47:48 AM] - TRADE : From New York Rangers to Arizona Coyotes : Anthony Duclair (70), Arthur Kaliyev (69).
[10/18/2023 9:47:48 AM] - TRADE : From Arizona Coyotes to New York Rangers : Erik Haula (77).
[10/13/2023 5:31:17 PM] - TRADE : From Nashville Predators to New York Rangers : J.T. Miller (83).
[10/13/2023 5:31:17 PM] - TRADE : From New York Rangers to Nashville Predators : Jakub Vrana (67).
[10/3/2023 5:19:22 PM] - TRADE : From New York Rangers to Edmonton Oilers : Ryan O'Reilly (76), Owen Tippett (75).
[10/3/2023 5:19:22 PM] - TRADE : From Edmonton Oilers to New York Rangers : Frederick Gaudreau (77), Conor Sheary (75).
[9/10/2023 6:55:02 AM] - General Manager Change : New York Rangers hired general manager Carter Phythian
[7/30/2023 6:48:37 AM] - Andrei Mironov was released.
[7/30/2023 6:40:17 AM] - Andrey Makarov signed with New York Rangers for $775,000 for 4 year(s).
[7/30/2023 6:40:17 AM] - Andrey Makarov was added to New York Rangers.
[7/23/2023 4:34:22 PM] - General Manager Change : New York Rangers fired general manager John



[12/19/2023 7:20:55 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[12/18/2023 8:21:24 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[12/17/2023 3:44:56 PM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/16/2023 8:18:29 PM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/15/2023 11:26:13 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/14/2023 10:14:45 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/14/2023 10:14:37 AM] Successfully loaded New York Rangers lines done with Web Base Client and SQLite Database from IP:73.3.193.188 .
[12/13/2023 8:22:09 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/2/2023 6:18:58 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[12/1/2023 1:21:03 PM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[12/1/2023 1:20:48 PM] Successfully loaded New York Rangers lines done with Web Base Client and SQLite Database from IP:174.0.159.174 .
[11/29/2023 8:28:56 PM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[11/28/2023 8:54:17 PM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[11/26/2023 10:31:42 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/26/2023 10:31:36 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[11/26/2023 10:31:28 AM] Successfully loaded New York Rangers lines done with Web Base Client and SQLite Database from IP:142.165.85.171 .



Pas de blessure ou de suspension.


New York Rangers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York Rangers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

New York Rangers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

New York Rangers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York Rangers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA