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New York Rangers
GP: 14 | W: 11 | L: 2 | OTL: 1 | P: 23
GF: 55 | GA: 30 | PP%: 25.53% | PK%: 82.22%
DG: Stefan | Morale : 51 | Moyenne d’équipe : 74
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Centre de jeu
Washington Capitals
5-7-2, 12pts
1
FINAL
3 New York Rangers
11-2-1, 23pts
Team Stats
L1SéquenceW5
2-4-1Fiche domicile6-1-0
3-3-1Fiche visiteur5-1-1
3-6-1Derniers 10 matchs9-1-0
2.64Buts par match 3.93
3.36Buts contre par match 2.14
15.79%Pourcentage en avantage numérique25.53%
80.85%Pourcentage en désavantage numérique82.22%
Columbus Blue Jackets
6-7-1, 13pts
1
FINAL
6 New York Rangers
11-2-1, 23pts
Team Stats
L1SéquenceW5
4-3-0Fiche domicile6-1-0
2-4-1Fiche visiteur5-1-1
3-7-0Derniers 10 matchs9-1-0
3.21Buts par match 3.93
3.86Buts contre par match 2.14
21.05%Pourcentage en avantage numérique25.53%
78.00%Pourcentage en désavantage numérique82.22%
Meneurs d'équipe
Buts
Artemi Panarin
8
K'Andre MillerPasses
K'Andre Miller
14
K'Andre MillerPoints
K'Andre Miller
20
K'Andre MillerPlus/Moins
K'Andre Miller
17
Igor ShesterkinVictoires
Igor Shesterkin
11
Igor ShesterkinPourcentage d’arrêts
Igor Shesterkin
0.932

Statistiques d’équipe
Buts pour
55
3.93 GFG
Tirs pour
490
35.00 Avg
Pourcentage en avantage numérique
25.5%
12 GF
Début de zone offensive
42.0%
Buts contre
30
2.14 GAA
Tirs contre
443
31.64 Avg
Pourcentage en désavantage numérique
82.2%%
8 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralStefan
EntraîneurPeter Laviolette
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomMadison Square Garden
Capacité18,000
Assistance17,772
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure31
Limite contact 51 / 70
Espoirs16


Plafond salarial Non Activé

Cap Salarial de la Saison estimé74,927,250$
Plafond salarial disponible8,572,750$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour8,753,625$
Dépenses annuelles à ce jour75,927,240$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel30,338,855$
Compte bancaire projeté30,338,855$


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 moyen
1Mika Zibanejad0X100.007040898178839382818679747078750558003147,218,750$
2Artemi Panarin0XX100.006740858765828984549177688272670557903336,873,500$
3Chris Kreider0XX100.007540857590809274707383756077710557803334,750,000$
4Blake Wheeler0XX100.007040767084788675698369676490840557503814,760,000$
5Vincent Trocheck0X100.007865767972819473878170715974670567503125,350,000$
6Filip Chytil0X100.006940858080698668647570665464590557102522,750,000$
7Barclay Goodrow0X100.007472836679719364737465725469650557003122,850,000$
8Kaapo Kakko0XX100.006640906880728366527570717061580557002342,500,000$
9Nick Bonino0X100.006840866375748762767168786780600557003613,000,000$
10Alexis Lafreniere0XX100.00776483637571876655746967716058055690231775,000$
11Jimmy Vesey0XX100.007258906676698961547164755870590556803122,650,000$
12Tyler Pitlick0X100.007640896977607759537062715466590556703311,850,000$
13Adam Fox0X100.006840838571949277408965856162590557902616,500,000$
14Jacob Trouba0X100.008072787578879365407563845475680577503043,500,000$
15K'Andre Miller0X100.007840847481879265407763867360580557502433,500,000$
16Erik Gustafsson0X100.006957877878808267407962775465590537303213,850,000$
17Ryan Lindgren0X100.006958767274828861407459875461580557102612,100,000$
18Braden Schneider0X100.007066927079737960407160815457580566902341,200,000$
Rayé
Équipe Mineure
1Alex Belzile0XX100.00616073636961596064636166546661047630331775,000$
2Riley Nash0X100.00605173636466696263636165587564050630351775,000$
3Anton Blidh0XX100.00665172606963625853625865546259050620291775,000$
4Jonny Brodzinski0X100.00565468627162616059616064586760050620311775,000$
5Jake Leschyshyn0X100.00684483617459635573645764545657050610251775,000$
6Turner Elson0X100.00555865606368666155596062557062050610321775,000$
7Bryce McConnell-Barker (R)0X100.00606060606060606060606060606060053600201775,000$
8Will Cuylle0XX100.00555762606563625955576060585453050590224800,000$
9Bobby Trivigno0X100.00555467585362615755575662545855050580251775,000$
10Tristan Mullin0XXX100.00555567556559585555555561546358050570281775,000$
11Connor MacKey0X100.006773726972686258406759735457580506502811,850,000$
12Ben Harpur0X100.00677180588566645540665675546158050640291775,000$
13Zac Jones0X100.005653696160656158406057655556540506002431,100,000$
14Brandon Scanlin0X100.00555567577063625540555564545855050590251775,000$
15Mac Hollowell0X100.00575368586061585740615463545956050590261775,000$
16Matthew Robertson0X100.00555665606765635740575560545553050590231775,000$
17Nikolas Brouillard0X100.00575559615267676040595757546559050590291775,000$
18Blake Hillman0X100.00555467566360595540555461546358050570281775,000$
19Karl Henriksson0X100.00515264545465625452535458515250026550231775,000$
20Matt Rempe0X100.00545159537461605352525357515149026550221775,000$
21Adam Edstrom0X100.00515165517151515152515157515451026530241775,000$
22Adam Sykora0X100.00515165515451515152515157514848026520201775,000$
23Brett Berard0X100.00515165515251515152515157515149026520221775,000$
24Ryder Korczak0X100.00515165525552525167515156515149026520221775,000$
25Zach Berzolla0X100.00555468546555555440545461546056026560261775,000$
26Grant Gabriele0X100.00515165516251515138515159515853026530271775,000$
27Matthew Cairns0X100.00515165516451515138515159515652026530261775,000$
MOYENNE D’ÉQUIPE100.0063537464696771615365606757635904764
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 moyen
1Igor Shesterkin0100.00919493778675939191749462600588702945,750,000$
2Jonathan Quick0100.00758382798672806487778791790587903813,200,000$
Rayé
Équipe Mineure
1Louis Domingue0100.0061656569676167645960617363034640321775,000$
2Talyn Boyko0100.0060606060606060606060606060054600221775,000$
3Dylan Garand0100.0058606060635963605658595351033590221775,000$
4Olof Lindbom0100.0051515164615161515252625350033540241775,000$
MOYENNE D’ÉQUIPE100.006669696871637165686471656104567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette84879082857962USA5771,000,000$


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
1K'Andre MillerNew York RangersD14614201716028253771916.22%1828920.693251836011030110%000001.3800000232
2Mika ZibanejadNew York RangersC147916140214360195111.67%334224.4623512370001320152.94%40800100.9300000210
3Vincent TrocheckNew York RangersC146101613175263447114012.77%225318.132131237000003054.34%35700001.2600001202
4Artemi PanarinNew York RangersLW/RW148715040133268224411.76%234224.4933613370001340142.42%3300000.8700000020
5Adam FoxNew York RangersD1421012-1607212114219.52%1935125.11145937000037000%000000.6800000000
6Blake WheelerNew York RangersLW/RW143811148021134214377.14%129220.8701110371011322044.83%2900000.7500000010
7Filip ChytilNew York RangersC1474116007283491620.59%020914.9800000000082043.57%24100001.0500000101
8Kaapo KakkoNew York RangersLW/RW1473101220594362316.28%025318.12022837000002025.00%2000000.7900000202
9Braden SchneiderNew York RangersD141895135101111159.09%1421215.2101100000014000%000000.8500001010
10Ryan LindgrenNew York RangersD141784100201711469.09%1320614.751011100001000%000000.7700000000
11Erik GustafssonNew York RangersD1415615141092122554.55%1029020.780111536000036000%000000.4100011011
12Jacob TroubaNew York RangersD140661241039122111160%1933624.010221237000029000%000000.3600002001
13Chris KreiderNew York RangersLW/RW141458201814325283.13%328320.220118370001340050.54%9300000.3500000000
14Jimmy VeseyNew York RangersLW/RW143145601316171817.65%020014.3000000000001023.08%1300000.4000000001
15Alexis LafreniereNew York RangersLW/RW141125002210214164.76%020314.5400010000020057.14%700000.2000000000
16Tyler PitlickNew York RangersC1410110000100100.00%030.230000000000000%000106.2200000000
17Barclay GoodrowNew York RangersC14000100110000%080.5800000000020033.33%30000000000000
18Nick BoninoNew York RangersC14000-500762450%0614.3700000000000038.57%700000000000000
Statistiques d’équipe totales ou en moyenne25255971521021263026731349013734011.22%104414116.44122133119375112429811349.37%127400200.73000159910
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
1Igor ShesterkinNew York Rangers1411210.9322.12848233044300000140210
Statistiques d’équipe totales ou en moyenne1411210.9322.1284823304430000140210


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Adam FoxNew York RangersD2617.02.1998No83 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm6,500,000$6,500,000$6,500,000$0$No------------------Lien
Alexis LafreniereNew York RangersLW/RW2311.10.2001No89 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$0$No------------------Lien
Artemi PanarinNew York RangersLW/RW3330.10.1991No79 Kg183 CMNoNoN/ANoNo3FalseFalsePro & Farm6,873,500$6,873,500$6,873,500$0$No6,873,500$6,873,500$-------NoNo-------Lien
Barclay GoodrowNew York RangersC3126.02.1993No93 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm2,850,000$2,850,000$2,850,000$0$No2,850,000$--------No--------Lien
Blake WheelerNew York RangersLW/RW3831.08.1986No100 Kg196 CMNoNoN/ANoNo1FalseFalsePro & Farm4,760,000$4,760,000$4,760,000$0$No------------------Lien
Braden SchneiderNew York RangersD2320.09.2001No95 Kg191 CMNoNoN/ANoNo4FalseFalsePro & Farm1,200,000$1,200,000$1,200,000$0$No1,200,000$1,200,000$1,200,000$------NoNoNo------Lien / Lien NHL
Chris KreiderNew York RangersLW/RW3330.04.1991No105 Kg191 CMNoNoN/ANoNo3FalseFalsePro & Farm4,750,000$4,750,000$4,750,000$0$No4,750,000$4,750,000$-------NoNo-------Lien
Erik GustafssonNew York RangersD3214.03.1992No90 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm3,850,000$3,850,000$3,850,000$0$No------------------Lien
Filip ChytilNew York RangersC2505.09.1999No93 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm2,750,000$2,750,000$2,750,000$0$No2,750,000$--------No--------Lien
Igor ShesterkinNew York RangersG2930.12.1995No86 Kg185 CMNoNoN/ANoNo4FalseFalsePro & Farm5,750,000$5,750,000$5,750,000$0$No5,750,000$5,750,000$5,750,000$------NoNoNo------Lien / Lien NHL
Jacob TroubaNew York RangersD3026.02.1994No92 Kg191 CMNoNoN/ANoNo4FalseFalsePro & Farm3,500,000$3,500,000$3,500,000$0$No3,500,000$3,500,000$3,500,000$------NoNoNo------Lien / Lien NHL
Jimmy VeseyNew York RangersLW/RW3126.05.1993No92 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm2,650,000$2,650,000$2,650,000$0$No2,650,000$--------No--------Lien
Jonathan QuickNew York RangersG3821.01.1986No100 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm3,200,000$3,200,000$3,200,000$0$No------------------Lien / Lien NHL
K'Andre MillerNew York RangersD2421.01.2000No98 Kg196 CMNoNoN/ANoNo3FalseFalsePro & Farm3,500,000$3,500,000$3,500,000$0$No3,500,000$3,500,000$-------NoNo-------Lien / Lien NHL
Kaapo KakkoNew York RangersLW/RW2313.02.2001No94 Kg188 CMNoNoN/ANoNo4FalseFalsePro & Farm2,500,000$2,500,000$2,500,000$0$No2,500,000$2,500,000$2,500,000$------NoNoNo------Lien
Mika ZibanejadNew York RangersC3118.04.1993No92 Kg188 CMNoNoN/ANoNo4FalseFalsePro & Farm7,218,750$7,218,750$7,218,750$0$No7,218,750$7,218,750$7,218,750$------NoNoNo------Lien / Lien NHL
Nick BoninoNew York RangersC3620.04.1988No89 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$0$No------------------Lien / Lien NHL
Ryan LindgrenNew York RangersD2611.02.1998No86 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm2,100,000$2,100,000$2,100,000$0$No------------------Lien / Lien NHL
Tyler PitlickNew York RangersC3301.11.1991No91 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,850,000$1,850,000$1,850,000$0$No------------------Lien / Lien NHL
Vincent TrocheckNew York RangersC3111.07.1993No84 Kg180 CMNoNoN/ANoNo2FalseFalsePro & Farm5,350,000$5,350,000$5,350,000$0$No5,350,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.8091 Kg188 CM2.253,746,363$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,927,250$48,892,250$35,292,250$20,168,750$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinMika ZibanejadChris Kreider33122
2Blake WheelerVincent TrocheckKaapo Kakko30122
3Alexis LafreniereFilip ChytilJimmy Vesey25122
4Mika ZibanejadNick BoninoArtemi Panarin12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJacob Trouba33122
2K'Andre MillerErik Gustafsson30122
3Ryan LindgrenBraden Schneider25122
4Adam FoxJacob Trouba12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinMika ZibanejadChris Kreider50122
2Blake WheelerVincent TrocheckKaapo Kakko50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJacob Trouba50122
2K'Andre MillerErik Gustafsson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mika ZibanejadArtemi Panarin50122
2Chris KreiderBlake Wheeler50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJacob Trouba50122
2K'Andre MillerErik Gustafsson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mika Zibanejad50122Adam FoxJacob Trouba50122
2Artemi Panarin50122K'Andre MillerErik Gustafsson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mika ZibanejadArtemi Panarin50122
2Chris KreiderBlake Wheeler50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJacob Trouba50122
2K'Andre MillerErik Gustafsson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artemi PanarinMika ZibanejadChris KreiderAdam FoxJacob Trouba
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artemi PanarinMika ZibanejadChris KreiderAdam FoxJacob Trouba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Barclay Goodrow, Tyler Pitlick, Filip ChytilBarclay Goodrow, Tyler PitlickFilip Chytil
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Lindgren, Braden Schneider, K'Andre MillerRyan LindgrenBraden Schneider, K'Andre Miller
Tirs de pénalité
Mika Zibanejad, Artemi Panarin, Chris Kreider, Blake Wheeler, Vincent Trocheck
Gardien
#1 : Igor Shesterkin, #2 : Jonathan Quick
Lignes d’attaque personnalisées en prolongation
Mika Zibanejad, Artemi Panarin, Chris Kreider, Blake Wheeler, Vincent Trocheck, Filip Chytil, Filip Chytil, Kaapo Kakko, Nick Bonino, Barclay Goodrow, Alexis Lafreniere
Lignes de défense personnalisées en prolongation
Adam Fox, Jacob Trouba, K'Andre Miller, Erik Gustafsson, 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
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
1Carolina Hurricanes21001000633110000002021000100043141.0006915011311712523212571618376116.67%9188.89%128053052.83%24551447.67%10421947.49%513547152612
2Columbus Blue Jackets220000001019110000006151100000040441.000101828015230693214230651011337114.29%30100.00%028053052.83%24551447.67%10421947.49%473347152512
3New Jersey Devils21100000871110000006241010000025-320.50081523004220641524250783026426233.33%70100.00%028053052.83%24551447.67%10421947.49%463047152613
4New York Islanders210001001046110000007071000010034-130.7501018280133408517323606713173813646.15%6183.33%028053052.83%24551447.67%10421947.49%513543142513
5Philadelphia Flyers211000005501010000013-21100000042220.5005101500311058221917053915484125.00%5260.00%028053052.83%24551447.67%10421947.49%513641132614
6Pittsburgh Penguins21001000862100010005411100000032141.00081321001241731924264731216376116.67%8275.00%028053052.83%24551447.67%10421947.49%503546152613
7Washington Capitals22000000844110000003121100000053241.0008142200233070281923050142532500.00%7271.43%028053052.83%24551447.67%10421947.49%483345152613
Total149202100553025751010003011197410110025196230.82155971520319161824901581551716443104128267471225.53%45882.22%128053052.83%24551447.67%10421947.49%34623931910418293
_Since Last GM Reset149202100553025751010003011197410110025196230.82155971520319161824901581551716443104128267471225.53%45882.22%128053052.83%24551447.67%10421947.49%34623931910418293
_Vs Conference149202100553025751010003011197410110025196230.82155971520319161824901581551716443104128267471225.53%45882.22%128053052.83%24551447.67%10421947.49%34623931910418293
_Vs Division149202100553025751010003011197410110025196230.82155971520319161824901581551716443104128267471225.53%45882.22%128053052.83%24551447.67%10421947.49%34623931910418293

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1423W5559715249044310412826703
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
149221005530
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75110003011
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74111002519
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
471225.53%45882.22%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
15815517161916182
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
28053052.83%24551447.67%10421947.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
34623931910418293


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 Jersey Devils2New York Rangers6WSommaire du match
319New York Rangers2New Jersey Devils5LSommaire du match
537New York Rangers3New York Islanders4LXSommaire du match
751New York Islanders0New York Rangers7WSommaire du match
971New York Rangers3Pittsburgh Penguins2WSommaire du match
1084Pittsburgh Penguins4New York Rangers5WXSommaire du match
14108Carolina Hurricanes0New York Rangers2WSommaire du match
16126New York Rangers5Washington Capitals3WSommaire du match
17140Philadelphia Flyers3New York Rangers1LSommaire du match
19155New York Rangers4Carolina Hurricanes3WXSommaire du match
21170New York Rangers4Columbus Blue Jackets0WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22174New York Rangers4Philadelphia Flyers2WSommaire du match
23188Washington Capitals1New York Rangers3WSommaire du match
27212Columbus Blue Jackets1New York Rangers6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance41,51934,23513,86527,9666,816
Attendance PCT98.85%97.81%99.04%99.88%97.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 17772 - 98.73% 1,250,518$8,753,625$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
75,927,240$ 74,927,250$ 74,927,250$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,497,575$ 74,927,250$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 2,530,908$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 30,338,855$ 30,338,855$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,927,250$ 8,572,750$ 83,500,000$ 34,927,250$



Charte de profondeur

Ailier gaucheCentreAilier droit
Artemi PanarinAGE:33PO:0OV:79
Chris KreiderAGE:33PO:0OV:78
Blake WheelerAGE:38PO:0OV:75
Kaapo KakkoAGE:23PO:0OV:70
Alexis LafreniereAGE:23PO:0OV:69
Jimmy VeseyAGE:31PO:0OV:68
Alex BelzileAGE:33PO:0OV:63
Anton BlidhAGE:29PO:0OV:62
Will CuylleAGE:22PO:0OV:59
Tristan MullinAGE:28PO:0OV:57
Mika ZibanejadAGE:31PO:0OV:80
Vincent TrocheckAGE:31PO:0OV:75
Filip ChytilAGE:25PO:0OV:71
Barclay GoodrowAGE:31PO:0OV:70
Nick BoninoAGE:36PO:0OV:70
Tyler PitlickAGE:33PO:0OV:67
Riley NashAGE:35PO:0OV:63
Jonny BrodzinskiAGE:31PO:0OV:62
Jake LeschyshynAGE:25PO:0OV:61
Turner ElsonAGE:32PO:0OV:61
Bryce McConnell-Barker (R)AGE:20PO:0OV:60
Bobby TrivignoAGE:25PO:0OV:58
Tristan MullinAGE:28PO:0OV:57
Karl HenrikssonAGE:23PO:0OV:55
Matt RempeAGE:22PO:0OV:55
Adam EdstromAGE:24PO:0OV:53
Adam SykoraAGE:20PO:0OV:52
Brett BerardAGE:22PO:0OV:52
Ryder KorczakAGE:22PO:0OV:52
Artemi PanarinAGE:33PO:0OV:79
Chris KreiderAGE:33PO:0OV:78
Blake WheelerAGE:38PO:0OV:75
Kaapo KakkoAGE:23PO:0OV:70
Alexis LafreniereAGE:23PO:0OV:69
Jimmy VeseyAGE:31PO:0OV:68
Alex BelzileAGE:33PO:0OV:63
Anton BlidhAGE:29PO:0OV:62
Will CuylleAGE:22PO:0OV:59
Tristan MullinAGE:28PO:0OV:57

Défense #1Défense #2Gardien
Adam FoxAGE:26PO:0OV:79
Jacob TroubaAGE:30PO:0OV:75
K'Andre MillerAGE:24PO:0OV:75
Erik GustafssonAGE:32PO:0OV:73
Ryan LindgrenAGE:26PO:0OV:71
Braden SchneiderAGE:23PO:0OV:69
Connor MacKeyAGE:28PO:0OV:65
Ben HarpurAGE:29PO:0OV:64
Zac JonesAGE:24PO:0OV:60
Brandon ScanlinAGE:25PO:0OV:59
Mac HollowellAGE:26PO:0OV:59
Matthew RobertsonAGE:23PO:0OV:59
Nikolas BrouillardAGE:29PO:0OV:59
Blake HillmanAGE:28PO:0OV:57
Zach BerzollaAGE:26PO:0OV:56
Grant GabrieleAGE:27PO:0OV:53
Matthew CairnsAGE:26PO:0OV:53
Igor ShesterkinAGE:29PO:0OV:87
Jonathan QuickAGE:38PO:0OV:79
Louis DomingueAGE:32PO:0OV:64
Talyn BoykoAGE:22PO:0OV:60
Dylan GarandAGE:22PO:0OV:59
Olof LindbomAGE:24PO:0OV:54

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
Brody LambNew York Rangers00
Drew FortescueNew York Rangers00
Dylan RoobroeckNew York Rangers00
Gabe PerreaultNew York Rangers00
Hank KempfNew York Rangers00
Hugo OllasNew York Rangers00
Jaroslav ChmelarNew York Rangers00
Kalle VaisanenNew York Rangers00
Maxim BarbashevNew York Rangers00
Noah LabaNew York Rangers00
Oliver TarnstromNew York Rangers00
Rasmus LarssonNew York Rangers00
Simon KjellbergNew York Rangers00
Ty HenricksNew York Rangers00
Victor ManciniNew York Rangers00
Zakary KarpaNew York Rangers00

Choix au repêchage

Année R1R2R3R4R5R6R7
2
3
4
5
6
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

[08.03.2024 20:18:51] - New Record for Team's Most Penalties Minutes (19) in 1 Game for New York Rangers!
[02.03.2024 19:02:31] - New Record for Team's Most Hits (30) in 1 Game for New York Rangers!
[21.02.2024 19:02:39] - New Record for Team's Most Points (20) in 1 Game for New York Rangers!
[21.02.2024 19:02:39] - New Record for Team's Most Assists (13) in 1 Game for New York Rangers!
[21.02.2024 19:02:39] - New Record for Team's Most Goals (7) in 1 Game for New York Rangers!
[19.02.2024 19:10:05] - New Record for Team's Most Hits (23) in 1 Game for New York Rangers!
[19.02.2024 19:10:05] - New Record for Team's Most Shots (45) in 1 Game for New York Rangers!
[17.02.2024 19:09:46] - New Record for Team's Most Penalties Minutes (16) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Hits (22) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Penalties Minutes (10) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Shots Blocked (17) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Shots (41) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Points (18) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Assists (12) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Goals (6) in 1 Game for New York Rangers!
[15.02.2024 21:01:05] - New Record for Team's Most Shots Blocked (17) in 1 Game for New York Rangers!
[01.02.2024 19:18:17] - Talyn Boyko was added to New York Rangers.
[01.02.2024 19:18:17] - Bryce McConnell-Barker was added to New York Rangers.
[01.02.2024 19:18:17] - Louis Domingue was added to New York Rangers.
[01.02.2024 19:18:17] - Jonathan Quick was added to New York Rangers.
[01.02.2024 19:18:17] - Igor Shesterkin was added to New York Rangers.
[01.02.2024 19:18:17] - Karl Henriksson was added to New York Rangers.
[01.02.2024 19:18:17] - Dylan Garand was added to New York Rangers.
[01.02.2024 19:18:17] - Louis Domingue was added to New York Rangers.



[13.03.2024 19:06:28] Last 7 Days Farm Star : 1 - Kole Lind of Coachella Valley Firebirds (5-4-9) / 2 - Zac Jones of Hartford Wolf Pack (5-4-9) / 3 - Alex Belzile of Hartford Wolf Pack (4-5-9)
[13.03.2024 19:06:28] Last 7 Days Pro Star : 1 - Kaapo Kakko of New York Rangers (5-0-5) / 2 - K'Andre Miller of New York Rangers (1-5-6) / 3 - Adam Henrique of Anaheim Ducks (4-3-7)
[12.03.2024 19:24:32] Both New York Rangers and Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[11.03.2024 19:20:48] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[08.03.2024 20:18:51] New York Rangers lines for next game are empty. Current rosters/lines are not erased. But, Hartford Wolf Pack lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[08.03.2024 20:18:51] New Record for Team's Most Penalties Minutes (19) in 1 Game for New York Rangers!
[07.03.2024 19:59:58] New York Rangers lines for next game are empty. Current rosters/lines are not erased. But, Hartford Wolf Pack lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[02.03.2024 19:02:31] New Record for Team's Most Hits (30) in 1 Game for New York Rangers!
[27.02.2024 19:13:40] Farm Game #101 - Turner Elson from Hartford Wolf Pack has scored a Hat Trick!
[21.02.2024 19:02:39] New Record for Team's Most Points (20) in 1 Game for New York Rangers!
[21.02.2024 19:02:39] New Record for Team's Most Assists (13) in 1 Game for New York Rangers!
[21.02.2024 19:02:39] New Record for Team's Most Goals (7) in 1 Game for New York Rangers!
[19.02.2024 19:10:06] 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.
[19.02.2024 19:10:05] New Record for Team's Most Hits (23) in 1 Game for New York Rangers!
[19.02.2024 19:10:05] New Record for Team's Most Shots (45) in 1 Game for New York Rangers!
[19.02.2024 19:00:26] Successfully loaded New York Rangers lines done with Web Base Client and SQLite Database from IP:46.140.164.90 .



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