Connexion

New York Rangers
GP: 75 | W: 39 | L: 31 | OTL: 5 | P: 83
GF: 253 | GA: 226 | PP%: 16.58% | PK%: 91.46%
DG: Jeremy Dion | Morale : 99 | Moyenne d’équipe : 73
#1059 vs New York Islanders
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Centre de jeu
New York Rangers
39-31-5, 83pts
3
FINAL
5 St-Louis Blues
41-27-8, 90pts
Team Stats
W1SéquenceL1
21-12-4Fiche domicile23-9-5
18-19-1Fiche visiteur18-18-3
6-2-2Derniers 10 matchs7-3-0
3.37Buts par match 3.17
3.01Buts contre par match 3.12
16.58%Pourcentage en avantage numérique13.44%
91.46%Pourcentage en désavantage numérique86.22%
New York Rangers
39-31-5, 83pts
6
FINAL
5 Pittsburgh Penguins
35-26-13, 83pts
Team Stats
W1SéquenceL1
21-12-4Fiche domicile19-12-7
18-19-1Fiche visiteur16-14-6
6-2-2Derniers 10 matchs5-3-2
3.37Buts par match 3.08
3.01Buts contre par match 2.96
16.58%Pourcentage en avantage numérique11.52%
91.46%Pourcentage en désavantage numérique85.17%
New York Rangers
39-31-5, 83pts
Jour 177
New York Islanders
41-26-9, 91pts
Statistiques d’équipe
W1SéquenceL1
21-12-4Fiche domicile22-14-2
18-19-1Fiche visiteur19-12-7
6-2-210 derniers matchs5-2-3
3.37Buts par match 3.16
3.01Buts contre par match 3.16
16.58%Pourcentage en avantage numérique9.66%
91.46%Pourcentage en désavantage numérique83.59%
New York Rangers
39-31-5, 83pts
Jour 179
Florida Panthers
33-32-10, 76pts
Statistiques d’équipe
W1SéquenceL3
21-12-4Fiche domicile16-17-4
18-19-1Fiche visiteur17-15-6
6-2-210 derniers matchs4-6-0
3.37Buts par match 2.96
3.01Buts contre par match 2.96
16.58%Pourcentage en avantage numérique10.95%
91.46%Pourcentage en désavantage numérique86.76%
San Jose Sharks
35-34-5, 75pts
Jour 181
New York Rangers
39-31-5, 83pts
Statistiques d’équipe
L1SéquenceW1
20-16-2Fiche domicile21-12-4
15-18-3Fiche visiteur18-19-1
4-5-110 derniers matchs6-2-2
3.01Buts par match 3.37
3.24Buts contre par match 3.37
17.74%Pourcentage en avantage numérique16.58%
79.05%Pourcentage en désavantage numérique91.46%
Meneurs d'équipe
Buts
Patrice Bergeron
28
Passes
Chris Lawrence
41
Points
Patrice Bergeron
60
Plus/Moins
Evan Bouchard
15
Victoires
Peter Thome
22
Pourcentage d’arrêts
Peter Thome
0.93

Statistiques d’équipe
Buts pour
253
3.37 GFG
Tirs pour
3058
40.77 Avg
Pourcentage en avantage numérique
16.6%
32 GF
Début de zone offensive
40.1%
Buts contre
226
3.01 GAA
Tirs contre
2975
39.67 Avg
Pourcentage en désavantage numérique
91.5%%
17 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralJeremy Dion
EntraîneurPeter Deboer
DivisionEastern
ConférenceCircuit Jodoin
CapitaineKevin Shattenkirk
Assistant #1Kyle Turris
Assistant #2


Informations de l’aréna

NomMadison Square Garden
Capacité20,000
Assistance18,320
Billets de saison8,000


Informations de la formation

Équipe Pro23
Équipe Mineure31
Limite contact 54 / 75
Espoirs2


Plafond salarial Non Activé

Cap Salarial de la Saison estimé76,800,000$
Plafond salarial disponible8,200,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour44,258,518$
Dépenses annuelles à ce jour70,369,704$
Revenus de la saison estimés4,784,705$
Dépenses de la saison estimées5,732,636$
Compte bancaire actuel47,614,668$
Compte bancaire projeté47,677,278$


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
1Patrice Bergeron X100.0051259883759085999299998978999916998303827,500,000$
2Gustav NyquistXXX100.0099686085708182958789845667919914997603465,250,000$
3Chris LawrenceXX100.0087797184748481878685865879838232997503644,000,000$
4Kyle Turris (A)X100.0078417187738282847476806775999938997403544,500,000$
5Ryan JohansenXXX100.0070338489798483808678797269767737997303113,700,000$
6Peter HollandXX100.0071278488758283688864718269949630997203225,000,000$
7Jens Looke (R)XX100.0080476988757981815171766665657354997102731,700,000$
8Matt NietoX100.005424868776808279537277686584864899710301975,000$
9Carter AshtonXX100.0099606886798282645561697771999536997103123,000,000$
10Alex BroadhurstX100.0059228688678283788677765765677227997002911,400,000$
11Jonathan Audy-Marchessault XXX100.0051149286708383758774746168958921997003211,200,000$
12Antoine MorandX100.0083447077757778778774747268566966997002431,350,000$
13Nicholas Aube-KubelXX100.0077387278758182728569726871768264996902711,250,000$
14Kevin Shattenkirk (C)X100.0054229186758482855680887169999926997503554,500,000$
15John CarlsonX100.00491697848083839263868969767889389975N033310,000,000$
16Ryan SuterX100.0051367686759088807976807674999912997503914,000,000$
17Evan BouchardX100.0077387676768482805775757873639080997302332,000,000$
18Cameron GaunceX100.00905768857882827256726967649492389972N03321,275,000$
19Jacob ChychrunX100.0068298776828083765778787471586368997102522,000,000$
20Noah DobsonX100.0074337776758582755777756971558475997102341,600,000$
21Jett WooX100.0071357968788383695166698160455869997002321,800,000$
Rayé
Équipe Mineure
1Chris TerryXXX100.0079477787758283788671706070999920997103311,700,000$
2Jayce HawrylukXX100.008552678075788179866972676871746399690271940,000$
3Kerby RychelX100.0089547583788183724971736070758261996902831,200,000$
4Jiri HudlerXXX100.002319884718378718664687072999914996803911,250,000$
5Mika Zibanejad XX100.00855473897882826587576470657778579968N0303900,000$
6Jonathan Lekkerimaki (R)X100.006529817273787878637079727952568299680192925,000$
7Kirby Dach (R)X100.0076357570786868808175727070505687996702251,450,000$
8Logan Brown (R)X100.006634807483757765866664666354677299650253660,000$
9Joe Veleno (R)X100.006938767175707571816966676561647399650232700,000$
10Kole Lind (R)X100.006229817679727766516666676851506699640241700,000$
11Ivan Miroshnichenko (R)X100.007234767474686869626970757032338099640192925,000$
12Jack Quinn (R)XX100.006631757173656970486272707049538599640221650,000$
13Luke Evangelista (R)X100.006331766769676774576869667045567699630212500,000$
14Ozzy Wiesblatt (R)X100.007235736771676774606967666845525899630212500,000$
15Ivan VishnevskiyX100.00341988671847968616572687499992599680361600,000$
16Petter Hansson (R)X100.006120888676828367586265646367713799670272900,000$
17Lassi Thomson (R)X100.0068298372758281705771767373465472996702221,100,000$
18Jamie Drysdale (R)X100.0069268275727779725576706967456081996702131,125,000$
19Jeremie Poirier (R)X100.007539756774797979587170636947627499670212650,000$
20Braydon CoburnX100.0078676380827779375836327447999912996603911,000,000$
21Arber Xhekaj (R)X100.007942667182777758506767666750695499650223500,000$
22Maveric Lamoureux (R)X100.007839677177656558606363716335348099630192650,000$
23Anthony Duclair XX100.007542778476838364525964676598994799680282850,000$
24Jakov Novak (R)XX100.006733828280747768806065616544675199640241700,000$
25Tyler Tullio (R)XX100.006831756771676769766769637045466899620212500,000$
26Philipp Kurashev (R)X100.005625837174697362816161656575596299620232575,000$
27Connor Kurth (R)XXX100.006937756776656567706466626937405699600202500,000$
28Marc StaalX100.008277678680797947434534704782822799670361500,001$
MOYENNE D’ÉQUIPE100.00713879837583827971767870708085429973
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
1Marc-Andre Fleury98.0086877578859999999989959999289976N03827,100,000$
2Peter Thome (R)100.008387838392999999998283445355997102621,700,000$
Rayé
Équipe Mineure
1Spencer Knight (R)100.00838180828588888888828368778399690221925,000$
2Mark Dekanich100.0077777678828484848477788299269968N0373900,000$
3Vyacheslav Peksa (R)100.00828278728585858585828541456299640212925,000$
MOYENNE D’ÉQUIPE99.0085877981899999999986897276429974
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Deboer99969090999943CAN5451,000,000$


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
1Patrice Bergeron New York RangersC71283260-22035932467314911.38%25114316.106814201270112816254.52%12183219001.0514000434
2Chris LawrenceNew York RangersC/RW751741581034011760245891926.94%27112815.04671323162000001152.23%3814410001.0304000152
3Gustav NyquistNew York RangersC/LW/RW75243357-23759455290781748.28%17108614.49571221153000004053.13%5765016001.0500010224
4Ryan JohansenNew York RangersC/LW/RW75252449012069662177012511.52%35120016.0143715120134141447048.50%3013827000.8200000215
5Kyle TurrisNew York RangersRW7524234713409255248801299.68%30111414.86651128152000003156.06%664426000.8434000234
6Matt NietoNew York RangersLW751631475405059217701497.37%26109414.6003391390112210138.16%764618000.8600000122
7Antoine MorandNew York RangersC75191938-640010589154407612.34%45120816.11123678303121506149.47%11342021200.6300000223
8Jens LookeNew York RangersLW/RW75132235-55558850187721186.95%29109314.5803391000001180148.28%584619000.6400001124
9Kevin ShattenkirkNew York RangersD7552732860176112252604.10%66115715.4416713156000222000%04338000.5501000221
10Peter HollandNew York RangersC/LW671217299100507512235709.84%3099914.920001421381371155.34%8711213000.5800000310
11Jonathan Audy-Marchessault New York RangersC/LW/RW75920291240386210624668.49%1897813.0400000000003054.15%6022519000.5900000110
12Alex BroadhurstNew York RangersC75151328-10603953201631097.46%28102313.64011554000001244.19%863015010.5500000212
13John CarlsonNew York RangersD7542226-1620144817056652.35%61109314.581231916000003010%05439000.4814000001
14Ryan SuterNew York RangersD7541418-927524699731364.12%76120416.060223740006119000%02840000.3000010000
15Carter AshtonNew York RangersLW/RW76108186320935392286310.87%49109314.390000210181311050.68%731523000.3300000112
16Jett WooNew York RangersD752151788037707221312.78%76111014.80000000111171000%0342000.3100000000
17Jacob ChychrunNew York RangersD7531316212040596431354.69%67120216.030000580223166100%01740000.2701000100
18Nicholas Aube-KubelNew York RangersC/RW754812-42203330549317.41%123915.2200004000071239.44%14299000.6101000000
19Evan BouchardNew York RangersD7548121522056504933208.16%96106214.1600000000083100%0643000.2301000002
20Noah DobsonNew York RangersD7548121435562456015246.67%86109314.58000143000181000%01740000.2201100021
21Cameron GaunceNew York RangersD75167-235567414118242.44%6695012.6700000000111000%0729000.1500001000
Statistiques d’équipe totales ou en moyenne1564243404647344392512201243305498817467.96%9652243214.3430497917315967916611351361352.10%5584586546210.58521122252837
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
1Peter ThomeNew York Rangers37221410.9302.75216240991420603411.000436391052
2Marc-Andre FleuryNew York Rangers41171740.9213.132358611231552576320.706173936473
Statistiques d’équipe totales ou en moyenne78393150.9252.954521101222297211797321757514125


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
Alex BroadhurstNew York RangersC291986-03-07 06:26:18No169 Lbs5 ft10NoNoN/ANoNo1Pro Only1,400,000$103,158$1,400,000$103,158$No------------------
Antoine MorandNew York RangersC241990-09-04 17:31:44No200 Lbs6 ft1NoNoN/ANoNo3Pro Only1,350,000$99,474$1,350,000$99,474$No1,350,000$1,350,000$-------NoNo-------
Cameron GaunceNew York RangersD331981-10-14 11:10:36No218 Lbs6 ft1YesNoN/ANoNo2Pro Only1,275,000$93,947$1,275,000$93,947$No1,275,000$--------Yes--------
Carter AshtonNew York RangersLW/RW311984-04-01 06:43:55No221 Lbs6 ft3NoNoTrade2024-01-01NoNo2Pro Only3,000,000$221,053$3,000,000$221,053$No3,000,000$--------No--------
Chris LawrenceNew York RangersC/RW361978-08-07 02:38:02No209 Lbs5 ft8NoNoN/ANoNo4Pro Only4,000,000$294,737$4,000,000$294,737$No4,000,000$4,000,000$4,000,000$------NoNoNo------
Evan BouchardNew York RangersD231991-09-07 20:49:35No207 Lbs6 ft3NoNoN/ANoNo3Pro Only2,000,000$147,368$2,000,000$147,368$No2,000,000$2,000,000$-------NoNo-------
Gustav NyquistNew York RangersC/LW/RW341980-08-06 14:38:02No184 Lbs5 ft10NoNoN/ANoNo6Pro Only5,250,000$386,842$5,250,000$386,842$No5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$----NoNoNoNoNo----
Jacob ChychrunNew York RangersD251989-10-17 15:35:14No233 Lbs6 ft4NoNoN/ANoNo2Pro Only2,000,000$147,368$2,000,000$147,368$No2,000,000$--------No--------
Jens LookeNew York RangersLW/RW271987-10-20 08:22:20Yes196 Lbs6 ft2NoNoN/ANoNo3Pro Only1,700,000$125,263$1,700,000$125,263$No1,700,000$1,700,000$-------NoNo-------
Jett WooNew York RangersD231991-09-04 18:52:56No211 Lbs6 ft3NoNoN/ANoNo2Pro Only1,800,000$132,632$1,800,000$132,632$No1,800,000$--------No--------
John CarlsonNew York RangersD331981-08-06 20:38:02No226 Lbs6 ft1YesNoN/ANoYes3Pro Only10,000,000$736,842$10,000,000$736,842$No10,000,000$10,000,000$-------YesYes-------
Jonathan Audy-Marchessault New York RangersC/LW/RW321982-12-27 17:26:33No190 Lbs5 ft9NoNoN/ANoNo1Pro Only1,200,000$88,421$1,200,000$88,421$No------------------
Kevin ShattenkirkNew York RangersD351979-08-06 08:38:02No206 Lbs5 ft11NoNoN/ANoNo5Pro Only4,500,000$331,579$4,500,000$331,579$No4,500,000$4,500,000$4,500,000$4,500,000$-----NoNoNoNo-----
Kyle TurrisNew York RangersRW351979-08-06 08:38:02No186 Lbs6 ft1NoNoN/ANoNo4Pro Only4,500,000$331,579$4,500,000$331,579$No4,500,000$4,500,000$4,500,000$------NoNoNo------
Marc-Andre FleuryNew York RangersG381976-08-06 14:38:02No186 Lbs6 ft2YesNoN/ANoNo2Pro Only7,100,000$523,158$7,100,000$523,158$No7,100,000$--------Yes--------
Matt NietoNew York RangersLW301984-10-14 11:01:06No209 Lbs6 ft0NoNoN/ANoNo1Pro Only975,000$71,842$975,000$71,842$No------------------
Nicholas Aube-KubelNew York RangersC/RW271987-10-09 13:39:33No203 Lbs6 ft0NoNoN/ANoNo1Pro Only1,250,000$92,105$1,250,000$92,105$No------------------
Noah DobsonNew York RangersD231991-10-04 06:00:21No193 Lbs6 ft4NoNoN/ANoNo4Pro Only1,600,000$117,895$1,600,000$117,895$No1,600,000$1,600,000$1,600,000$------NoNoNo------
Patrice Bergeron New York RangersC381976-08-06 14:38:02No203 Lbs6 ft0NoNoTrade2024-01-07NoNo2Pro Only7,500,000$552,632$7,500,000$552,632$No7,500,000$--------No--------
Peter HollandNew York RangersC/LW321982-08-07 02:38:02No202 Lbs6 ft2NoNoN/ANoNo2Pro Only5,000,000$368,421$5,000,000$368,421$No5,000,000$--------No--------
Peter ThomeNew York RangersG261988-09-27 13:48:00Yes219 Lbs6 ft4NoNoN/ANoNo2Pro Only1,700,000$125,263$1,700,000$125,263$No1,700,000$--------No--------
Ryan JohansenNew York RangersC/LW/RW311983-08-06 08:38:02No212 Lbs6 ft3NoNoN/ANoNo1Pro Only3,700,000$272,632$3,700,000$272,632$No------------------
Ryan SuterNew York RangersD391975-08-06 08:38:02No201 Lbs6 ft1NoNoN/ANoNo1Pro Only4,000,000$294,737$4,000,000$294,737$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.61204 Lbs6 ft12.483,339,130$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
76,800,000$64,275,000$34,900,000$19,850,000$9,750,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carter AshtonPeter HollandMatt Nieto25131
2Alex BroadhurstGustav NyquistRyan Johansen25131
3Jens LookeAntoine MorandKyle Turris25131
4Jonathan Audy-Marchessault Patrice Bergeron Chris Lawrence25131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SuterCameron Gaunce25131
2John CarlsonJett Woo25131
3Evan BouchardJacob Chychrun25122
4Kevin ShattenkirkNoah Dobson25131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan JohansenPatrice Bergeron Chris Lawrence50005
2Gustav NyquistAntoine MorandKyle Turris50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonJens Looke50005
2Matt NietoKevin Shattenkirk50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Antoine MorandCarter Ashton50140
2Peter HollandRyan Johansen50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SuterNoah Dobson50140
2Jacob ChychrunJett Woo50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Peter Holland50140Jett WooRyan Suter50140
2Ryan Johansen50140Evan BouchardJacob Chychrun50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Antoine MorandKyle Turris50122
2Patrice Bergeron Chris Lawrence50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardRyan Suter50122
2Jacob ChychrunJohn Carlson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris LawrencePatrice Bergeron Kyle TurrisKevin ShattenkirkJohn Carlson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Antoine MorandPeter HollandCarter AshtonEvan BouchardJett Woo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Broadhurst, Jonathan Audy-Marchessault , Carter AshtonJens Looke, Nicholas Aube-KubelMatt Nieto
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Dobson, Cameron Gaunce, Jett WooNoah DobsonKevin Shattenkirk, John Carlson
Tirs de pénalité
Chris Lawrence, Patrice Bergeron , John Carlson, Kyle Turris, Ryan Suter
Gardien
#1 : Peter Thome, #2 : Marc-Andre Fleury
Lignes d’attaque personnalisées en prolongation
Patrice Bergeron , Jens Looke, Gustav Nyquist, Chris Lawrence, Antoine Morand, Alex Broadhurst, Alex Broadhurst, Peter Holland, Ryan Johansen, Matt Nieto, Jonathan Audy-Marchessault
Lignes de défense personnalisées en prolongation
Kevin Shattenkirk, John Carlson, Noah Dobson, Jett Woo, Evan Bouchard


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Ducks3210000012842110000010731100000021140.66712213300471012848463401235824537228.57%12283.33%11217229153.12%1148226350.73%626116653.69%684361255025
2Boston Bruins3120000069-32110000056-11010000013-220.3336111700222013149443801264014437114.29%70100.00%11217229153.12%1148226350.73%626116653.69%654167254722
3Buffalo Sabres3200001013761100000031221000010106461.000131932003361130374746412138204312325.00%10190.00%01217229153.12%1148226350.73%626116653.69%643869275024
4Calgary Flames22000000945110000004131100000053241.0009142300441070402010077248359111.11%40100.00%01217229153.12%1148226350.73%626116653.69%442642173217
5Carolina Hurricanes320000011394210000018711100000052350.83313213400436113448394511120388648225.00%40100.00%01217229153.12%1148226350.73%626116653.69%704363265125
6Chicago Blackhawks2110000045-1110000002111010000024-220.500461000040093363324070251024300.00%5180.00%01217229153.12%1148226350.73%626116653.69%473039173315
7Colorado Avalanche321000001073110000005142110000056-140.66710152510262012951522601073584711218.18%4175.00%01217229153.12%1148226350.73%626116653.69%714559244825
8Dallas Stars3110010010821000010034-12110000074330.5001020300125301124141300115433142400.00%13192.31%01217229153.12%1148226350.73%626116653.69%643966264824
9Detroit Red Wings311000101192210000109541010000024-240.66711172800613112555343551143518566233.33%90100.00%01217229153.12%1148226350.73%626116653.69%734560245025
10Edmonton Oilers3210000010732110000056-11100000051440.66710182800415011848313901203710408225.00%50100.00%01217229153.12%1148226350.73%626116653.69%644068254723
11Florida Panthers22000000835110000004131100000042241.00081422005120712826170732318363133.33%9188.89%01217229153.12%1148226350.73%626116653.69%392346193315
12Los Angeles Kings21100000761110000006331010000013-220.5007132000241082322822087361025300.00%50100.00%01217229153.12%1148226350.73%626116653.69%402547173215
13Minnesota Wild321000001293220000009271010000037-440.66712152700435011942423501164720574125.00%10190.00%11217229153.12%1148226350.73%626116653.69%664061255125
14Montreal Canadiens312000001113-21010000025-32110000098120.3331118291033501174436370109372052400.00%10190.00%01217229153.12%1148226350.73%626116653.69%654063265024
15New Jersey Devils32000100141222100010010911100000043150.83314253900662013146354821274810539333.33%50100.00%01217229153.12%1148226350.73%626116653.69%664166255025
16New York Islanders21100000642110000005231010000012-120.50061218004020803422240892110275120.00%50100.00%11217229153.12%1148226350.73%626116653.69%422646153116
17Ottawa Senators3210000012662200000010371010000023-140.6671217290056109943371901153031481218.33%80100.00%01217229153.12%1148226350.73%626116653.69%623564255328
18Philadelphia Flyers30100110910-1100000104312010010057-230.5009112000440212848483151253112388225.00%60100.00%01217229153.12%1148226350.73%626116653.69%674168275225
19Pittsburgh Penguins32100000131301010000035-222000000108240.66713223500364011341343801283226455120.00%13192.31%11217229153.12%1148226350.73%626116653.69%623867254923
20San Jose Sharks2010100078-11010000046-21000100032120.5007111800402185343020184311635000%8187.50%01217229153.12%1148226350.73%626116653.69%422545173516
21St-Louis Blues30200100712-51000010023-12020000059-410.1677121900133011740443301084618501417.14%8187.50%01217229153.12%1148226350.73%626116653.69%663963255026
22Tampa Bay Lightning30300000813-51010000024-22020000069-300.0008122010143012840493901253914559111.11%6183.33%01217229153.12%1148226350.73%626116653.69%664064244826
23Toronto Maple Leafs31200000510-5110000003122020000029-720.3335101500122012138424101222527351119.09%60100.00%01217229153.12%1148226350.73%626116653.69%623766255025
24Vancouver Canucks312000008802020000047-31100000041320.3338142200323012241493201073786010110.00%4250.00%01217229153.12%1148226350.73%626116653.69%684263234825
25Vegas Golden Knights320010001587110000008442100100074361.00015233800716113446424421202814467114.29%60100.00%01217229153.12%1148226350.73%626116653.69%664165254824
26Washington Capitals3120000068-22020000037-41100000031220.333691500123011539344201264612406116.67%6183.33%01217229153.12%1148226350.73%626116653.69%613768264924
27Winnipeg Jets30300000710-31010000034-12020000046-200.0007101700223012644513101214522488112.50%11190.91%11217229153.12%1148226350.73%626116653.69%643965264924
Total7534310243125322627371912003211361082838151902110117118-1830.55325341066331878576730581133103688030297597543911971933216.58%1991791.46%61217229153.12%1148226350.73%626116653.69%1648100916356411248623
_Since Last GM Reset7534310243125322627371912003211361082838151902110117118-1830.55325341066331878576730581133103688030297597543911971933216.58%1991791.46%61217229153.12%1148226350.73%626116653.69%1648100916356411248623
_Vs Conference7534310243125322627371912003211361082838151902110117118-1830.55325341066331878576730581133103688030297597543911971933216.58%1991791.46%61217229153.12%1148226350.73%626116653.69%1648100916356411248623
_Vs Division401816002311351269201060012171591220810001106467-3450.56313521835320484341516235905275002716204832406351052019.05%104694.23%31217229153.12%1148226350.73%626116653.69%872529884345670333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7583W125341066330582975975439119731
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7534312431253226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3719120321136108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3815192110117118
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1933216.58%1991791.46%6
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
11331036880308785767
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
1217229153.12%1148226350.73%626116653.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1648100916356411248623


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
19New York Rangers2Philadelphia Flyers3ALSommaire du match
322New York Rangers2St-Louis Blues4ALSommaire du match
534New York Rangers4Florida Panthers2AWSommaire du match
957Ottawa Senators2New York Rangers5BWSommaire du match
1277New Jersey Devils2New York Rangers4BWSommaire du match
1489Philadelphia Flyers3New York Rangers4BWXXSommaire du match
17105Dallas Stars4New York Rangers3BLXSommaire du match
18113Montreal Canadiens5New York Rangers2BLSommaire du match
23139New York Rangers3San Jose Sharks2AWXSommaire du match
25153New York Rangers4Vancouver Canucks1AWSommaire du match
27162St-Louis Blues3New York Rangers2BLXSommaire du match
28164Carolina Hurricanes5New York Rangers4BLXXSommaire du match
30182New York Rangers4Pittsburgh Penguins3AWSommaire du match
33193Anaheim Ducks5New York Rangers4BLSommaire du match
36211Colorado Avalanche1New York Rangers5BWSommaire du match
38222New York Rangers2Chicago Blackhawks4ALSommaire du match
39230New York Rangers5Buffalo Sabres2AWSommaire du match
43255New York Rangers2Ottawa Senators3ALSommaire du match
45269New York Rangers3Minnesota Wild7ALSommaire du match
47277Detroit Red Wings1New York Rangers4BWSommaire du match
49292Washington Capitals3New York Rangers2BLSommaire du match
51304Toronto Maple Leafs1New York Rangers3BWSommaire du match
54319New York Rangers3Vegas Golden Knights2AWXSommaire du match
55322New York Rangers5Calgary Flames3AWSommaire du match
57333New York Rangers1Colorado Avalanche3ALSommaire du match
60352New York Rangers5Edmonton Oilers1AWSommaire du match
63376San Jose Sharks6New York Rangers4BLSommaire du match
65383Buffalo Sabres1New York Rangers3BWSommaire du match
67395Tampa Bay Lightning4New York Rangers2BLSommaire du match
70412Pittsburgh Penguins5New York Rangers3BLSommaire du match
72422New York Rangers5Carolina Hurricanes2AWSommaire du match
75437New York Rangers1Boston Bruins3ALSommaire du match
77451New York Rangers4New Jersey Devils3AWSommaire du match
80469New York Rangers4Montreal Canadiens6ALSommaire du match
81474Boston Bruins4New York Rangers2BLSommaire du match
83486New York Rangers2Detroit Red Wings4ALSommaire du match
85498Vancouver Canucks5New York Rangers3BLSommaire du match
91535New York Islanders2New York Rangers5BWSommaire du match
94550New York Rangers3Washington Capitals1AWSommaire du match
96565New York Rangers3Winnipeg Jets4ALSommaire du match
97568New York Rangers2Anaheim Ducks1AWSommaire du match
100585Florida Panthers1New York Rangers4BWSommaire du match
102598Chicago Blackhawks1New York Rangers2BWSommaire du match
104608Calgary Flames1New York Rangers4BWSommaire du match
106618Vegas Golden Knights4New York Rangers8BWSommaire du match
109637New York Rangers4Tampa Bay Lightning5ALSommaire du match
112655Minnesota Wild1New York Rangers3BWSommaire du match
113663New York Rangers1Los Angeles Kings3ALSommaire du match
117687Winnipeg Jets4New York Rangers3BLSommaire du match
118691Los Angeles Kings3New York Rangers6BWSommaire du match
122710Edmonton Oilers1New York Rangers3BWSommaire du match
124723New York Rangers1Toronto Maple Leafs7ALSommaire du match
128745New York Rangers4Dallas Stars0AWSommaire du match
130754New York Rangers1New York Islanders2ALSommaire du match
132771Vancouver Canucks2New York Rangers1BLSommaire du match
133775New York Rangers2Tampa Bay Lightning4ALSommaire du match
135784Boston Bruins2New York Rangers3BWSommaire du match
137801Carolina Hurricanes2New York Rangers4BWSommaire du match
139815New York Rangers1Toronto Maple Leafs2ALSommaire du match
141826Detroit Red Wings4New York Rangers5BWXXSommaire du match
143839New York Rangers1Winnipeg Jets2ALSommaire du match
146857New York Rangers5Montreal Canadiens2AWSommaire du match
148871Washington Capitals4New York Rangers1BLSommaire du match
150884New York Rangers5Buffalo Sabres4AWXXSommaire du match
151889New York Rangers3Dallas Stars4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154903Anaheim Ducks2New York Rangers6BWSommaire du match
156923New York Rangers4Vegas Golden Knights2AWSommaire du match
158934Minnesota Wild1New York Rangers6BWSommaire du match
159941New Jersey Devils7New York Rangers6BLXSommaire du match
161954Ottawa Senators1New York Rangers5BWSommaire du match
165978New York Rangers4Colorado Avalanche3AWSommaire du match
166986New York Rangers3Philadelphia Flyers4ALXSommaire du match
168997Edmonton Oilers5New York Rangers2BLSommaire du match
1721025New York Rangers3St-Louis Blues5ALSommaire du match
1741040New York Rangers6Pittsburgh Penguins5AWSommaire du match
1771059New York Rangers-New York Islanders-
1791071New York Rangers-Florida Panthers-
1811086San Jose Sharks-New York Rangers-
1821092Chicago Blackhawks-New York Rangers-
1861113Calgary Flames-New York Rangers-
1881129New York Rangers-Los Angeles Kings-
1901143Buffalo Sabres-New York Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50005000500040001000
Prix des billets70402414169
Assistance163,719167,976170,324143,72632,097
Attendance PCT88.50%90.80%92.07%97.11%86.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 18320 - 91.60% 1,196,176$44,258,518$2000090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
70,369,704$ 76,800,000$ 74,800,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
76,800,000$ 69,443,416$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,784,705$ 14 409,474$ 5,732,636$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
6,132,742$ 47,614,668$ 47,677,278$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
76,800,000$ 8,200,000$ 85,000,000$ 21,800,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Gustav NyquistAGE:34PO:14OV:76
Ryan JohansenAGE:31PO:37OV:73
Peter HollandAGE:32PO:30OV:72
Jens Looke (R)AGE:27PO:54OV:71
Matt NietoAGE:30PO:48OV:71
Carter AshtonAGE:31PO:36OV:71
Chris TerryAGE:33PO:20OV:71
Jonathan Audy-Marchessault AGE:32PO:21OV:70
Kerby RychelAGE:28PO:61OV:69
Anthony Duclair AGE:28PO:47OV:68
Jiri HudlerAGE:39PO:14OV:68
Jack Quinn (R)AGE:22PO:85OV:64
Ivan Miroshnichenko (R)AGE:19PO:80OV:64
Jakov Novak (R)AGE:24PO:51OV:64
Connor Kurth (R)AGE:20PO:56OV:60
Patrice Bergeron AGE:38PO:16OV:83
Gustav NyquistAGE:34PO:14OV:76
Chris LawrenceAGE:36PO:32OV:75
Ryan JohansenAGE:31PO:37OV:73
Peter HollandAGE:32PO:30OV:72
Chris TerryAGE:33PO:20OV:71
Antoine MorandAGE:24PO:66OV:70
Alex BroadhurstAGE:29PO:27OV:70
Jonathan Audy-Marchessault AGE:32PO:21OV:70
Nicholas Aube-KubelAGE:27PO:64OV:69
Jayce HawrylukAGE:27PO:63OV:69
Mika Zibanejad AGE:30PO:57OV:68
Jiri HudlerAGE:39PO:14OV:68
Kirby Dach (R)AGE:22PO:87OV:67
Joe Veleno (R)AGE:23PO:73OV:65
Logan Brown (R)AGE:25PO:72OV:65
Jakov Novak (R)AGE:24PO:51OV:64
Tyler Tullio (R)AGE:21PO:68OV:62
Philipp Kurashev (R)AGE:23PO:62OV:62
Connor Kurth (R)AGE:20PO:56OV:60
Gustav NyquistAGE:34PO:14OV:76
Chris LawrenceAGE:36PO:32OV:75
Kyle TurrisAGE:35PO:38OV:74
Ryan JohansenAGE:31PO:37OV:73
Jens Looke (R)AGE:27PO:54OV:71
Carter AshtonAGE:31PO:36OV:71
Chris TerryAGE:33PO:20OV:71
Jonathan Audy-Marchessault AGE:32PO:21OV:70
Nicholas Aube-KubelAGE:27PO:64OV:69
Jayce HawrylukAGE:27PO:63OV:69
Jonathan Lekkerimaki (R)AGE:19PO:82OV:68
Mika Zibanejad AGE:30PO:57OV:68
Anthony Duclair AGE:28PO:47OV:68
Jiri HudlerAGE:39PO:14OV:68
Jack Quinn (R)AGE:22PO:85OV:64
Kole Lind (R)AGE:24PO:66OV:64
Luke Evangelista (R)AGE:21PO:76OV:63
Ozzy Wiesblatt (R)AGE:21PO:58OV:63
Tyler Tullio (R)AGE:21PO:68OV:62
Connor Kurth (R)AGE:20PO:56OV:60

Défense #1Défense #2Gardien
John CarlsonAGE:33PO:38OV:75
Kevin ShattenkirkAGE:35PO:26OV:75
Ryan SuterAGE:39PO:12OV:75
Evan BouchardAGE:23PO:80OV:73
Cameron GaunceAGE:33PO:38OV:72
Noah DobsonAGE:23PO:75OV:71
Jacob ChychrunAGE:25PO:68OV:71
Jett WooAGE:23PO:69OV:70
Ivan VishnevskiyAGE:36PO:25OV:68
Jamie Drysdale (R)AGE:21PO:81OV:67
Jeremie Poirier (R)AGE:21PO:74OV:67
Lassi Thomson (R)AGE:22PO:72OV:67
Petter Hansson (R)AGE:27PO:37OV:67
Marc StaalAGE:36PO:27OV:67
Braydon CoburnAGE:39PO:12OV:66
Arber Xhekaj (R)AGE:22PO:54OV:65
Maveric Lamoureux (R)AGE:19PO:80OV:63
Marc-Andre FleuryAGE:38PO:28OV:76
Peter Thome (R)AGE:26PO:55OV:71
Spencer Knight (R)AGE:22PO:83OV:69
Mark DekanichAGE:37PO:26OV:68
Vyacheslav Peksa (R)AGE:21PO:62OV:64

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
Mitchell SmithNew York Rangers202087
Oliver SuniNew York Rangers202057

Choix au repêchage

Année R1R2R3
2026NYR NYR
2027NYR NYR NYR
2028NYR NYR NYR
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

[2024-03-10 23:42:45] - TRADE : From New York Rangers to Detroit Red Wings : Kaiden Guhle (67), Y:2025-RND:2-NYR.
[2024-03-10 23:42:45] - TRADE : From Detroit Red Wings to New York Rangers : Jamie Drysdale (67).
[2024-02-25 22:32:33] - Hartford Wolfpack hired Wayne Gretzky for $1,000,000 for 2 year(s).
[2024-02-25 22:28:36] - Hartford Wolfpack fired Bob Hartley.
[2024-02-25 22:27:19] - TRADE : From Toronto Maple Leafs to New York Rangers : Arber Xhekaj (65).
[2024-02-25 22:27:19] - TRADE : From New York Rangers to Toronto Maple Leafs : Carl Dahlstrom (69), Y:2024-RND:3-NYR.
[2024-01-07 14:55:40] - TRADE : From Toronto Maple Leafs to New York Rangers : Jonathan Lekkerimaki (68), Patrice Bergeron (83).
[2024-01-07 14:55:40] - TRADE : From New York Rangers to Toronto Maple Leafs : Jordan Staal (78).
[2024-01-01 13:25:28] - TRADE : From Pittsburgh Penguins to New York Rangers : Carter Ashton (71), Y:2024-RND:3-NYR.
[2024-01-01 13:25:28] - TRADE : From New York Rangers to Pittsburgh Penguins : Mathieu Joseph (69).
[2023-12-19 23:09:18] - TRADE : From New York Rangers to Buffalo Sabres : Y:2024-RND:3-PHI.
[2023-12-17 23:47:55] - TRADE : From New York Rangers to Buffalo Sabres : Cam York (70).
[2023-12-17 23:47:55] - TRADE : From Buffalo Sabres to New York Rangers : Ryan Suter (75).
[2023-10-31 22:58:16] - Mika Zibanejad has been selected as assistant for Hartford Wolfpack.
[2023-10-31 22:58:16] - Unknown Player is no longer as assistant for Hartford Wolfpack.
[2023-10-31 22:58:16] - Chris Terry has been selected as assistant for Hartford Wolfpack.
[2023-10-31 22:58:16] - Unknown Player is no longer as assistant for Hartford Wolfpack.
[2023-10-04 15:58:53] - TRADE : From New York Rangers to Montreal Canadiens : Pierre-Olivier Joseph (70).
[2023-10-04 15:58:53] - TRADE : From Montreal Canadiens to New York Rangers : Jack Quinn (64), Y:2024-RND:3-PHI.
[2023-08-31 13:17:49] - TRADE : From Philadelphia Flyers to New York Rangers : Pierre-Olivier Joseph (70).
[2023-08-31 13:17:49] - TRADE : From New York Rangers to Philadelphia Flyers : Y:2026-RND:1-NYR.



[2024-04-15 21:57:14] Farm Game #986 - Jonathan Lekkerimaki from Hartford Wolfpack has scored a Hat Trick!
[2024-04-10 23:28:59] Last 7 Days Pro Star : 1 - Matt Nieto of New York Rangers (2-5-7) / 2 - Kyle Turris of New York Rangers (3-2-5) / 3 - Jordan Eberle of St-Louis Blues (3-2-5)
[2024-04-08 01:01:27] Successfully loaded New York Rangers lines done with STHS Client - 3.4.0.0
[2024-04-04 23:38:05] Both New York Rangers and Hartford Wolfpack lines for next game are empty. Current rosters/lines are not erased.



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