Day : 200
PHI - 2
CAR - 6
Day : 201

GP: 82 | W: 43 | L: 34 | OTL: 5 | P: 91

GF: 274 | GA: 245 | PP%: 23.08% | PK%: 81.57%

DG: Francis Bérubé
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Vancouver Canucks
49-26-7, 105pts
2
FINAL
3 New York Rangers
43-34-5, 91pts
Team Stats
W1StreakL1
26-11-4Home Record27-13-1
23-15-3Away Record16-21-4
4-5-1Last 10 Games6-4-0
3.72Buts par match 3.34
2.79Buts contre par match 2.99
20.79%Pourcentage en avantage numérique23.08%
83.87%Pourcentage en désavantage numérique81.57%
Carolina Hurricanes
38-35-9, 85pts
4
FINAL
3 New York Rangers
43-34-5, 91pts
Team Stats
W2StreakL1
25-12-4Home Record27-13-1
13-23-5Away Record16-21-4
7-3-0Last 10 Games6-4-0
3.21Buts par match 3.34
3.27Buts contre par match 2.99
17.51%Pourcentage en avantage numérique23.08%
80.43%Pourcentage en désavantage numérique81.57%
Meneurs d'équipe
Buts
Brayden Point
58
Passes
Travis Konecny
63
Points
Brayden Point
115
Plus/Moins
Brayden Point
23
Victoires
Andrey Vasilevskiy
34
Pourcentage d’arrêts
Andrey Vasilevskiy
0.91

Statistiques d’équipe
Buts pour
274
3.34 GFG
Tirs pour
2382
29.05 Avg
Pourcentage en avantage numérique
23.1%
72 GF
Début de zone offensive
36.9%
Buts contre
245
2.99 GAA
Tirs contre
2534
30.90 Avg
Pourcentage en désavantage numérique
81.6%%
61 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralFrancis Bérubé
EntraîneurJohn Tortorella
DivisionMétropolitaine
ConférenceEastern Conference
CapitaineRyan McDonagh
Assistant #1Brayden Point
Assistant #2Travis Konecny


Informations de l’aréna

NomMadison Square Garden
Capacité17,200
Assistance17,200
Billets de saison8,600


Informations de la formation

Équipe Pro23
Équipe Mineure25
Limite contact 48 / 50
Espoirs35


Plafond salarial Non Activé

Cap Salarial de la Saison estimé85,497,800$
Plafond salarial disponible1,502,250$
Valeur du plafond salarial spécial-3,000,000$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour96,965,000$
Dépenses annuelles à ce jour90,803,527$
Revenus de la saison estimés0$
Dépenses de la saison estimées501,741$
Compte bancaire actuel137,901,172$
Compte bancaire projeté137,399,431$


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
1Dylan CozensX100.00754081878386838674838267837583950002246,500,000$
2Vince HinostrozaXXX100.00592399937182818675797667767774150002914,250,000$
3Nikolay GoldobinXX100.00643092838188888468777567728881650002812,100,000$
4Travis Konecny (A)XX100.00783385937989888975828270858897850002647,000,000$
5JJ Peterka (R)XXX100.0066258484788385857377786682757785000213950,000$
6Jason RobertsonXX100.00784082818685878465747668767980750002432,400,000$
7Viktor ArvidssonXX100.00743393917784779265787969849290150003013,350,000$
8Brayden Point (A)X100.00883885958091909478888775849192950002759,750,000$
9Tobias RiederXXX100.00583096907887828177777770809898150003013,600,000$
10Mark StoneX100.00873585748587878573807668799999150003117,000,000$
11Tyler BertuzziXX100.00974478849087878468797878779189750002855,500,000$
12Ryan DonatoXX100.00632594837581778374757671757574650002732,400,000$
13Conor Timmins (R)X100.00773085828180727855766586657575650002511,250,000$
14Brandon CarloX100.00984771789086867950776994638483750002744,700,000$
15Ivan ProvorovX100.00914081858786858652827589708480950002654,500,000$
16Jakob ChychrunX100.00874475839386868650797189689293950002515,500,000$
17Ryan McDonagh (C)X100.00884478778477758250806993669999150003446,000,000$
18Gustav ForslingX100.00752889848181808350787190708078850002765,750,000$
Rayé
1Christian FischerXX100.00883683819286898277777471738376750002642,000,000$
2Walker DuehrX100.0086557678868083777373757075737665000261900,000$
3Josh Mahura (R)X100.00793383798181737950746587637674650002521,600,000$
Équipe Mineure
1Ryan Poehling (R)X100.0076379079818282807876737572807375000241900,000$
2Tyson Foerster (R)X100.0072458075808386797673736876716975000211950,000$
3Alex Formenton (R)X100.0084407889788484836773747373767185000242950,000$
4Lauri Pajuniemi (R)X100.0072308177807679787072726683716855000241850,000$
5Glenn GawdinXX100.0080428178798281797271716971727255000261850,000$
6Marcus Sylvegård (R)X100.0082307282818279787073716781676565000242950,000$
7Josh Norris (R)X100.00773888818086817973737269737677650002421,250,000$
8Dawson Mercer (R)X100.0068459278778585787272727572676775000221925,000$
9Nick Robertson (R)X100.0068388278748484786573726979716975000221950,000$
10Morgan Frost (R)X100.0066358986788572807674736873747375000241925,000$
11Trent FredericXX100.00894081818684828073727368726868650002511,500,000$
12Dominik Bokk (R)XX100.00733394837885788266747466767374750002322,000,000$
13Evan Bouchard (R)X100.0078408082828281835078728168757575000241950,000$
14Rasmus SandinX100.00763384857987828350766985657976850002311,500,000$
15Scott Walford (R)X100.00904478758783817750736786637382650002421,250,000$
16Pierre-Olivier Joseph (R)X100.00773581857781828250766686667572750002411,500,000$
17Vladislav GavrikovX100.00864086768683837850726788608275650002821,900,000$
18Moritz Seider (R)X100.0084438178838587805073688765727385000221925,000$
19Aidan Dudas (R)X100.0067408379708178757369697371657665000231850,000$
20Cam Hillis (R)X100.0060308076668269757368677171617055000231750,000$
21William LagessonX100.00884579768681747650706586617574550002721,500,000$
22Filip Westerlund (R)X100.0066358776738065745067628355646455000241750,000$
MOYENNE D’ÉQUIPE100.007936858483848384657875767584846500
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
1Andrey Vasilevskiy100.00939191889893959594989393901050002938,000,000$
2Adin Hill100.0087838493888989908990876766850002743,000,000$
Rayé
Équipe Mineure
1Stuart Skinner (R)100.0085848486858685868585857871850002531,467,000$
2Felix Sandström (R)100.0085818384888686888787846869850002611,500,000$
3Michael DiPietro (R)100.0089878784938989889089867672950002421,550,000$
MOYENNE D’ÉQUIPE100.00908788919391929392949080789500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella88888692898370USA6612,350,000$


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
1Brayden PointNew York RangersC825857115233401191312447715823.77%35169120.6223174068256224143549349.52%165816533021.36150007145
2Travis KonecnyNew York RangersLW/RW8250631132018091452587614719.38%13138916.94152742692570114707043.30%9714721021.6325000687
3Dylan CozensNew York RangersC823342754340108761875513317.65%20132116.1191221322331011175346.55%108710214031.1413000834
4Viktor ArvidssonNew York RangersLW/RW8233417442064522419518813.69%9129015.748172549238000005438.89%5413812001.1515000755
5Vince HinostrozaNew York RangersC/LW/RW84203555-62022591966313510.20%14149917.855813442470001213248.15%54016613010.7311000223
6Ivan ProvorovNew York RangersD6814264014540107137100364314.00%99142220.923710202371011123300.00%02554000.5600000314
7Jakob ChychrunNew York RangersD82103040472012417011235468.93%106180522.025914332970003180300.00%01283000.4400000022
8Tyler BertuzziNew York RangersLW/RW82132134858015181111317411.71%46163719.9727912203134203860051.24%1213935000.4201000241
9Jason RobertsonNew York RangersLW/RW821316294360924196407613.54%16110813.5213413128000003053.33%45549000.5201000025
10Ryan McDonaghNew York RangersD7702828128001231658331310.00%138171222.2505581810114269000.00%0282000.3300000002
11Tobias RiederNew York RangersC/LW/RW82131326-100207413551639.63%9118414.450004400002782152.72%3497515100.4414000252
12Nikolay GoldobinNew York RangersLW/RW8291625-120332712142817.44%1392211.2500000000000052.50%40828000.5400000020
13Ryan DonatoNew York RangersC/LW82131225660284913340779.77%23103412.620110200031333252.26%1996613000.4800000222
14Mark StoneNew York RangersRW77111324-9320994314151867.80%10114014.81213161180002130050.94%536716000.4224000010
15Brandon CarloNew York RangersD8222123711201531758734362.30%119158719.370339560114277100.00%0796000.2900000000
16Christian FischerNew York RangersC/LW717111812801205011529596.09%2099414.010110100051071151.06%6154510000.3600000010
17Conor TimminsNew York RangersD690171710200511116217260.00%71111216.13000014000025000.00%0448000.3100000001
18JJ PeterkaNew York RangersC/LW/RW3561117960292146112313.04%1056316.1151616103000001045.16%312110000.6001000101
19Gustav ForslingNew York RangersD7741317-71007115010245453.92%117166821.66145172040001193000.00%01989000.2000000000
20Walker DuehrNew York RangersRW693710-742077249528593.16%106379.2400002000000052.94%17353000.3100000101
21Josh MahuraNew York RangersD381910-316032672513174.00%3261916.3000000000030000.00%0121000.3200000000
22Trent FredericConnecticut Whale (NYR)C/LW25011-101801912247230.00%52399.5900000000000040.91%22251000.0800000000
Statistiques d’équipe totales ou en moyenne1592313503816826820173317602714907162611.53%9352658416.707912320241028285813652287461649.07%49281297686180.61930000415245
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
1Andrey VasilevskiyNew York Rangers65342450.9102.733798211731926997640.600206319925
2Adin HillNew York Rangers2291000.8963.3311370063603307110.00001963121
Statistiques d’équipe totales ou en moyenne87433450.9072.8749352123625291304750.6002082821046


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2023Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029
Attaquant
Brayden PointC271995-01-22 07:49:20TW 511.21%9,750,000$9,750,000$9,750,000$9,750,000$9,750,000$UFA [Age: 32]
Christian FischerC/LW261996-01-22 07:42:31TW 42.30%2,000,000$2,000,000$2,000,000$2,000,000$UFA [Age: 30]
Dylan CozensC222000-01-02 12:11:51TW 47.47%6,500,000$6,500,000$6,500,000$6,500,000$RFA ( Groupe: 2 ) [Age: 26]
JJ PeterkaC/LW/RW212001-01-02 23:09:02TW 31.09%950,000$950,000$950,000$RFA ( Groupe: 2 ) [Age: 24]
Jason RobertsonLW/RW241998-01-22 08:01:30TW 32.76%2,400,000$2,400,000$2,400,000$RFA ( Groupe: 2 ) [Age: 27]
Mark StoneRW311991-01-22 12:19:39TW 18.05%7,000,000$UFA [Age: 32]
Nikolay GoldobinLW/RW281994-01-02 08:27:40TW 12.41%2,100,000$UFA [Age: 29]
Ryan DonatoC/LW271995-01-22 04:37:31TW 32.76%2,400,000$2,400,000$2,400,000$UFA [Age: 30]
Tobias RiederC/LW/RW301992-01-22 10:48:23TW 14.14%3,600,000$UFA [Age: 31]
Travis KonecnyLW/RW261996-01-02 05:08:25TW 48.05%7,000,000$7,000,000$7,000,000$7,000,000$UFA [Age: 30]
Tyler BertuzziLW/RW281994-01-22 04:02:53TW 56.32%5,500,000$5,500,000$5,500,000$5,500,000$5,500,000$UFA [Age: 33]
Viktor ArvidssonLW/RW301992-01-22 07:14:17TW 13.85%3,350,000$UFA [Age: 31]
Vince HinostrozaC/LW/RW291993-01-22 06:19:02TW 14.89%4,250,000$UFA [Age: 30]
Walker DuehrRW261996-01-02 19:15:46TW 11.03%900,000$RFA ( Groupe: 2 ) [Age: 27]
MOYENNE (14)26.7966.32%57,700,000$36,500,000$36,500,000$30,750,000$15,250,000$0$0$
Défenseur
Brandon CarloD271995-01-22 04:43:10TW 45.40%4,700,000$4,700,000$4,700,000$4,700,000$UFA [Age: 31]
Conor TimminsD251997-01-02 18:47:18TW 11.44%1,250,000$RFA ( Groupe: 2 ) [Age: 26]
Gustav ForslingD271995-01-22 01:20:49TW 66.61%5,750,000$5,750,000$5,750,000$5,750,000$5,750,000$5,750,000$UFA [Age: 33]
Ivan ProvorovD261996-01-22 04:51:50TW 55.17%4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$UFA [Age: 31]
Jakob ChychrunD251997-01-22 06:33:03TW 16.32%5,500,000$RFA ( Groupe: 2 ) [Age: 26]
Josh MahuraD251997-01-22 14:36:29TW 21.84%1,600,000$1,600,000$RFA ( Groupe: 2 ) [Age: 27]
Ryan McDonaghD341988-01-22 06:29:38TW 46.90%6,500,000$6,000,000$5,500,000$5,000,000$UFA [Age: 38]
MOYENNE (7)27.0033.68%29,300,000$22,550,000$20,950,000$20,950,000$10,250,000$5,750,000$0$
Gardiens
Adin HillG271995-01-22 03:43:06TW 43.45%3,000,000$3,000,000$3,000,000$3,000,000$UFA [Age: 31]
Andrey VasilevskiyG291993-01-22 08:35:53TW 39.20%8,000,000$8,000,000$8,000,000$UFA [Age: 32]
MOYENNE (2)28.0012.64%11,000,000$11,000,000$11,000,000$3,000,000$0$0$0$
Valeur du plafond salarial spécial-3,000,000$0$0$0$0$0$0$
TOTALE (23)109.20%95,000,000$70,050,000$68,450,000$54,700,000$25,500,000$5,750,000$0$

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 87,000,050$.




Attaque à 5 contre 5
Ailier gauche Centre Ailier droit
Peterka
77
Point
21
Konecny
11
Arvidsson
33
Cozens
24
Hinostroza
0
Bertuzzi
59
Rieder
0
Stone
61
Goldobin
76
Donato
16
Robertson
22
Défense à 5 contre 5
Défense Défense
McDonagh
27
Forsling
42
Chychrun
6
Provorov
8
Carlo
26
Timmins
0
Carlo
26
Timmins
0
Attaque en avantage numérique
Ailier gauche Centre Ailier droit
Konecny
11
Point
21
Arvidsson
33
Peterka
77
Cozens
24
Hinostroza
0
Défense en avantage numérique
Défense Défense
Provorov
8
Chychrun
6
McDonagh
27
Forsling
42
Attaque à 4 en désavantage numérique
Centre Ailier
Donato
16
Bertuzzi
59
Point
21
Rieder
0
Défense à 4 en désavantage numérique
Défense Défense
Carlo
26
McDonagh
27
Forsling
42
Chychrun
6
3 joueurs en désavantage numérique
Ailier Défense Défense
Point
21
Carlo
26
McDonagh
27
Bertuzzi
59
Forsling
42
Chychrun
6
Attaque à 4 contre 4
Centre Ailier
Rieder
0
Bertuzzi
59
Donato
16
Robertson
22
Défense à 4 contre 4
Défense Défense
Timmins
0
Forsling
42
Carlo
26
Chychrun
6
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Travis KonecnyBrayden PointViktor ArvidssonIvan ProvorovJakob Chychrun
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Ryan DonatoBrayden PointTyler BertuzziBrandon CarloGustav Forsling
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Brayden Point, Nikolay Goldobin, JJ PeterkaTobias Rieder, Mark StoneTravis Konecny
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Gustav Forsling, Jakob Chychrun, Ryan McDonaghBrandon CarloIvan Provorov, Conor Timmins
Tirs de pénalité
Travis Konecny, Brayden Point, Viktor Arvidsson, Dylan Cozens, JJ Peterka
Gardien
#1 : Adin Hill, #2 : Andrey Vasilevskiy
Lignes d’attaque personnalisées en prolongation
Brayden Point, Travis Konecny, Dylan Cozens, Viktor Arvidsson, JJ Peterka, Vince Hinostroza, Vince Hinostroza, Mark Stone, Tyler Bertuzzi, Tobias Rieder, Nikolay Goldobin
Lignes de défense personnalisées en prolongation
Ivan Provorov, Jakob Chychrun, Gustav Forsling, Brandon Carlo, Conor Timmins


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 Ducks11000000817110000008170000000000021.000815230015203613101302548227342.86%40100.00%0805163749.18%872174450.00%501105547.49%2516208147
2Arizona Coyotes11000000541000000000001100000054121.000510150013103091380341341411100.00%20100.00%0805163749.18%872174450.00%501105547.49%2013247147
3Boston Bruins422000001112-131200000811-31100000031240.500111728003440108343737011837248814321.43%12191.67%0805163749.18%872174450.00%501105547.49%936087325930
4Buffalo Sabres33000000165112200000012481100000041361.000162743004660942736310973967417423.53%3166.67%0805163749.18%872174450.00%501105547.49%704665234422
5Calgary Flames11000000532000000000001100000053221.00058130013103715913028410194125.00%5180.00%0805163749.18%872174450.00%501105547.49%2215227157
6Carolina Hurricanes7430000029254431000002215731200000710-380.57129518000129801947674440238786015022418.18%30583.33%0805163749.18%872174450.00%501105547.49%153981655510050
7Chicago Blackhawks11000000716000000000001100000071621.000713200021403212614029141028200.00%5180.00%0805163749.18%872174450.00%501105547.49%2214228157
8Colorado Avalanche11000000321110000003210000000000021.00035800120032121640301210202150.00%5260.00%0805163749.18%872174450.00%501105547.49%2214227147
9Columbus Blue Jackets5410000016133321000009902200000074380.800162945006370157464962016563509615533.33%25676.00%0805163749.18%872174450.00%501105547.49%10972120387034
10Dallas Stars1000000112-1000000000001000000112-110.5001120001003916137723116164125.00%30100.00%0805163749.18%872174450.00%501105547.49%2416258157
11Detroit Red Wings1010000024-21010000024-20000000000000.00023510020031108130274826100.00%40100.00%0805163749.18%872174450.00%501105547.49%2215227147
12Edmonton Oilers11000000312110000003120000000000021.00036900210035171170288621400.00%30100.00%0805163749.18%872174450.00%501105547.49%2517207147
13Florida Panthers31200000711-42110000057-21010000024-220.33371320014120753420210993124668112.50%12650.00%0805163749.18%872174450.00%501105547.49%634071234521
14Los Angeles Kings1010000013-21010000013-20000000000000.000112100100268990304412400.00%20100.00%0805163749.18%872174450.00%501105547.49%2114247136
15Minnesota Wild2100100010732100100010730000000000041.000101727002521621922201491324449333.33%12283.33%0805163749.18%872174450.00%501105547.49%523640162914
16Montreal Canadiens41300000913-41010000046-23120000057-220.2509152410252011329453901185730926116.67%15380.00%1805163749.18%872174450.00%501105547.49%875592316029
17Nashville Predators1010000014-3000000000001010000014-300.00011200100026115100276617200.00%3166.67%0805163749.18%872174450.00%501105547.49%2214228157
18New Jersey Devils431000001899220000009272110000097260.750183048006750123484035011240348519526.32%17476.47%0805163749.18%872174450.00%501105547.49%986582315829
19New York Islanders40201001812-42010000146-22010100046-230.37581321004302121393744813256627121419.05%31583.87%0805163749.18%872174450.00%501105547.49%8754102345527
20Ottawa Senators404000001115-41010000034-130300000811-300.000111627005330105414024013245268214535.71%13469.23%1805163749.18%872174450.00%501105547.49%855698305527
21Philadelphia Flyers422000001216-42110000068-22110000068-240.500122234003540114293649012139447521628.57%22290.91%2805163749.18%872174450.00%501105547.49%926089325729
22Pittsburgh Penguins4310000014104220000008442110000066060.75014223600563097294325012545407117317.65%19289.47%0805163749.18%872174450.00%501105547.49%885693315828
23Quebec Nordiques31200000141132110000013851010000013-220.3331423370053609641292608835226113323.08%11372.73%1805163749.18%872174450.00%501105547.49%684669214121
24San Jose Sharks1010000023-1000000000001010000023-100.0002350011002410122025148225240.00%4175.00%0805163749.18%872174450.00%501105547.49%2214228147
25Seattle Kraken1010000024-2000000000001010000024-200.0002460010102951113039116266116.67%3166.67%0805163749.18%872174450.00%501105547.49%2214237147
26St. Louis Blues1000000123-1000000000001000000123-110.50022400011127115105238618300.00%30100.00%0805163749.18%872174450.00%501105547.49%2213259179
27Tampa Bay Lightning3210000014862200000012571010000023-140.6671420340054509130283308947146112541.67%7185.71%0805163749.18%872174450.00%501105547.49%724965214221
28Toronto Maple Leafs321000001192110000005142110000068-240.66711172800335086262733010636205114214.29%10370.00%0805163749.18%872174450.00%501105547.49%654371244321
29Vancouver Canucks21000010642210000106420000000000041.0006915002213471218155713518292150.00%9188.89%0805163749.18%872174450.00%501105547.49%392355173014
30Vegas Golden Knights1010000023-11010000023-10000000000000.000235000200317168024104205120.00%2150.00%0805163749.18%872174450.00%501105547.49%2214228157
31Washington Capitals732001011618-222000000642512001011014-480.5711627431035802076466728217854213129413.79%21385.71%0805163749.18%872174450.00%501105547.49%156991635510552
32Winnipeg Jets2010100089-1000000000002010100089-120.50081523102411571528131651628399222.22%14192.86%0805163749.18%872174450.00%501105547.49%432750162914
Total8239340311427424529412513010111611194241142102103113126-13910.5552744587325187101828238279581975435253492066416473127223.08%3316181.57%5805163749.18%872174450.00%501105547.49%1846120219056501198596
_Since Last GM Reset8239340311427424529412513010111611194241142102103113126-13910.5552744587325187101828238279581975435253492066416473127223.08%3316181.57%5805163749.18%872174450.00%501105547.49%1846120219056501198596
_Vs Conference6231270110220618719312010000011269432311117011018093-13670.540206342548217067682178159360757516195773349812542425522.73%2484980.24%5805163749.18%872174450.00%501105547.49%13919041440488898448
_Vs Division351912011021131031017124000016448161878011014955-6430.61411319430710393835210133313453311611104063326791443121.53%1652783.64%2805163749.18%872174450.00%501105547.49%786506817278506252

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
8291L127445873223822534920664164751
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
8239343114274245
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
4125131011161119
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
4114212103113126
Derniers 10 matchs
W L OTW OTL SOWSOL
640000
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
3127223.08%3316181.57%5
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
7958197543587101828
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
805163749.18%872174450.00%501105547.49%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1846120219056501198596


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
Jour:1
17Carolina Hurricanes6New York Rangers9WSommaire du match
Jour:2
223New York Rangers2Montreal Canadiens1WSommaire du match
Jour:6
643Columbus Blue Jackets1New York Rangers2WSommaire du match
Jour:9
958New York Rangers3Ottawa Senators4LSommaire du match
Jour:10
1070New York Rangers2Washington Capitals3LXXSommaire du match
Jour:12
1286Carolina Hurricanes2New York Rangers5WSommaire du match
Jour:14
14112Minnesota Wild4New York Rangers6WSommaire du match
Jour:15
15121New York Rangers1Carolina Hurricanes5LSommaire du match
Jour:17
17137New York Rangers5Winnipeg Jets4WXSommaire du match
Jour:19
19154Philadelphia Flyers2New York Rangers5WR1Sommaire du match
Jour:21
21174Boston Bruins2New York Rangers5WSommaire du match
Jour:22
22187New York Rangers2Ottawa Senators3LSommaire du match
Jour:24
24191New York Rangers2Washington Capitals4LSommaire du match
Jour:26
26203New York Rangers2Washington Capitals3LXSommaire du match
Jour:29
29226Florida Panthers0New York Rangers2WSommaire du match
Jour:32
32239New York Rangers2New York Islanders1WXSommaire du match
Jour:33
33254Buffalo Sabres3New York Rangers4WSommaire du match
Jour:35
35277Boston Bruins2New York Rangers1LSommaire du match
Jour:38
38293New York Rangers2St. Louis Blues3LXXSommaire du match
Jour:41
41312New York Rangers2Tampa Bay Lightning3LSommaire du match
Jour:42
42324Colorado Avalanche2New York Rangers3WSommaire du match
Jour:45
45347New York Rangers2Montreal Canadiens3LSommaire du match
Jour:46
46358Quebec Nordiques3New York Rangers2LSommaire du match
Jour:48
48379Buffalo Sabres1New York Rangers8WSommaire du match
Jour:51
51392New York Rangers3Pittsburgh Penguins2WSommaire du match
Jour:52
52412Montreal Canadiens6New York Rangers4LSommaire du match
Jour:55
55426New York Rangers5Calgary Flames3WSommaire du match
Jour:57
57442New York Rangers5Arizona Coyotes4WSommaire du match
Jour:58
58453Philadelphia Flyers6New York Rangers1LR1Sommaire du match
Jour:62
62478Pittsburgh Penguins3New York Rangers5WSommaire du match
Jour:65
65499New York Rangers2Philadelphia Flyers5LR1Sommaire du match
Jour:67
67510Washington Capitals2New York Rangers3WSommaire du match
Jour:69
69534New York Rangers2San Jose Sharks3LSommaire du match
Jour:70
70545Washington Capitals2New York Rangers3WSommaire du match
Jour:71
71563New York Rangers3Boston Bruins1WSommaire du match
Jour:74
74570New York Rangers1Dallas Stars2LXXSommaire du match
Jour:76
76584Ottawa Senators4New York Rangers3LSommaire du match
Jour:80
80607Los Angeles Kings3New York Rangers1LSommaire du match
Jour:83
83632New York Rangers4Buffalo Sabres1WSommaire du match
Jour:84
84642Florida Panthers7New York Rangers3LSommaire du match
Jour:86
86657New York Rangers2Seattle Kraken4LSommaire du match
Jour:88
88674New York Rangers2New York Islanders5LSommaire du match
Jour:89
89682Quebec Nordiques5New York Rangers11WSommaire du match
Jour:91
91707Detroit Red Wings4New York Rangers2LSommaire du match
Jour:93
93717New York Rangers1Montreal Canadiens3LSommaire du match
Jour:96
96737New York Islanders3New York Rangers2LSommaire du match
Jour:104
104769New York Rangers3Ottawa Senators4LSommaire du match
Jour:105
105776Vegas Golden Knights3New York Rangers2LSommaire du match
Jour:107
107801New York Islanders3New York Rangers2LXXSommaire du match
Jour:109
109821New York Rangers3Carolina Hurricanes1WSommaire du match
Jour:111
111835New Jersey Devils1New York Rangers3WSommaire du match
Jour:113
113842New York Rangers7Chicago Blackhawks1WSommaire du match
Jour:117
117859New York Rangers3Winnipeg Jets5LSommaire du match
Jour:118
118873Boston Bruins7New York Rangers2LSommaire du match
Jour:120
120890New York Rangers3Carolina Hurricanes4LSommaire du match
Jour:122
122905Anaheim Ducks1New York Rangers8WSommaire du match
Jour:126
126931New Jersey Devils1New York Rangers6WSommaire du match
Jour:129
129955New York Rangers1New Jersey Devils3LSommaire du match
Jour:131
131965Pittsburgh Penguins1New York Rangers3WSommaire du match
Jour:133
133976New York Rangers3Pittsburgh Penguins4LSommaire du match
Jour:135
135983New York Rangers8New Jersey Devils4WSommaire du match
Jour:139
139999Tampa Bay Lightning1New York Rangers5WSommaire du match
Jour:142
1421022New York Rangers4Philadelphia Flyers3WR1Sommaire du match
Jour:144
1441035Columbus Blue Jackets6New York Rangers4LSommaire du match
Jour:146
1461055New York Rangers4Columbus Blue Jackets3WSommaire du match
Jour:148
1481067Minnesota Wild3New York Rangers4WXSommaire du match
Jour:151
1511091New York Rangers3Columbus Blue Jackets1WSommaire du match
Jour:152
1521100Tampa Bay Lightning4New York Rangers7WSommaire du match
Jour:155
1551123Edmonton Oilers1New York Rangers3WSommaire du match
Jour:157
1571132New York Rangers1Nashville Predators4LSommaire du match
Jour:161
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1611154New York Rangers2Florida Panthers4LSommaire du match
Jour:163
1631165Toronto Maple Leafs1New York Rangers5WSommaire du match
Jour:166
1661192Vancouver Canucks2New York Rangers3WXXSommaire du match
Jour:169
1691204New York Rangers4Toronto Maple Leafs3WSommaire du match
Jour:175
1751234New York Rangers1Quebec Nordiques3LSommaire du match
Jour:177
1771254Columbus Blue Jackets2New York Rangers3WSommaire du match
Jour:178
1781261New York Rangers2Toronto Maple Leafs5LSommaire du match
Jour:183
1831286Carolina Hurricanes3New York Rangers5WSommaire du match
Jour:184
1841289New York Rangers4Washington Capitals1WSommaire du match
Jour:185
1851307New York Rangers0Washington Capitals3LSommaire du match
Jour:189
1891333Vancouver Canucks2New York Rangers3WSommaire du match
Jour:196
1961346Carolina Hurricanes4New York Rangers3LSommaire du match




Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs Valeur du plafond salarial spécial
Plafond salarial par jour Plafond salarial à ce jour Taxe de luxe totale Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté


Charte de profondeur

Ailier gauche Centre Ailier droit
Alex Formenton (R)AGE:24PO:8OV:0
Travis KonecnyAGE:26PO:8OV:0
JJ Peterka (R)AGE:21PO:8OV:0
Christian FischerAGE:26PO:7OV:0
Jason RobertsonAGE:24PO:7OV:0
Nick Robertson (R)AGE:22PO:7OV:0
Tyler BertuzziAGE:28PO:7OV:0
Dominik Bokk (R)AGE:23PO:7OV:0
Nikolay GoldobinAGE:28PO:6OV:0
Ryan DonatoAGE:27PO:6OV:0
Trent FredericAGE:25PO:6OV:0
Vince HinostrozaAGE:29PO:1OV:0
Viktor ArvidssonAGE:30PO:1OV:0
Tobias RiederAGE:30PO:1OV:0
Dylan CozensAGE:22PO:9OV:0
Brayden PointAGE:27PO:9OV:0
JJ Peterka (R)AGE:21PO:8OV:0
Christian FischerAGE:26PO:7OV:0
Ryan Poehling (R)AGE:24PO:7OV:0
Tyson Foerster (R)AGE:21PO:7OV:0
Morgan Frost (R)AGE:24PO:7OV:0
Aidan Dudas (R)AGE:23PO:6OV:0
Josh Norris (R)AGE:24PO:6OV:0
Ryan DonatoAGE:27PO:6OV:0
Trent FredericAGE:25PO:6OV:0
Cam Hillis (R)AGE:23PO:5OV:0
Glenn GawdinAGE:26PO:5OV:0
Vince HinostrozaAGE:29PO:1OV:0
Tobias RiederAGE:30PO:1OV:0
Travis KonecnyAGE:26PO:8OV:0
JJ Peterka (R)AGE:21PO:8OV:0
Jason RobertsonAGE:24PO:7OV:0
Dawson Mercer (R)AGE:22PO:7OV:0
Tyler BertuzziAGE:28PO:7OV:0
Dominik Bokk (R)AGE:23PO:7OV:0
Walker DuehrAGE:26PO:6OV:0
Marcus Sylvegård (R)AGE:24PO:6OV:0
Nikolay GoldobinAGE:28PO:6OV:0
Lauri Pajuniemi (R)AGE:24PO:5OV:0
Glenn GawdinAGE:26PO:5OV:0
Vince HinostrozaAGE:29PO:1OV:0
Viktor ArvidssonAGE:30PO:1OV:0
Tobias RiederAGE:30PO:1OV:0
Mark StoneAGE:31PO:1OV:0

Défense #1 Défense #2 Gardien
Ivan ProvorovAGE:26PO:9OV:0
Jakob ChychrunAGE:25PO:9OV:0
Rasmus SandinAGE:23PO:8OV:0
Moritz Seider (R)AGE:22PO:8OV:0
Gustav ForslingAGE:27PO:8OV:0
Evan Bouchard (R)AGE:24PO:7OV:0
Pierre-Olivier Joseph (R)AGE:24PO:7OV:0
Brandon CarloAGE:27PO:7OV:0
Scott Walford (R)AGE:24PO:6OV:0
Conor Timmins (R)AGE:25PO:6OV:0
Vladislav GavrikovAGE:28PO:6OV:0
Josh Mahura (R)AGE:25PO:6OV:0
William LagessonAGE:27PO:5OV:0
Filip Westerlund (R)AGE:24PO:5OV:0
Ryan McDonaghAGE:34PO:1OV:0
Andrey VasilevskiyAGE:29PO:10OV:0
Michael DiPietro (R)AGE:24PO:9OV:0
Stuart Skinner (R)AGE:25PO:8OV:0
Felix Sandström (R)AGE:26PO:8OV:0
Adin HillAGE:27PO:8OV:0

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir Nom de l’équipeAnnée de repêchage Choix total Lien
Albin GreweNew York Rangers201984 Lien DobberProspects
Angus BoothNew York Rangers2022197 Lien DobberProspects
Anton JohannessonNew York Rangers202075 Lien DobberProspects
Dmitri SimashevNew York Rangers202337 Lien DobberProspects
Drew HellesonNew York Rangers201963 Lien DobberProspects
Dustin Wolf*New York Rangers2019140 Lien DobberProspects
Eamon PowellNew York Rangers2020125 Lien DobberProspects
Frank NazarNew York Rangers20227 Lien DobberProspects
Gavin McCarthyNew York Rangers202392 Lien DobberProspects
Hoyt StanleyNew York Rangers2023126 Lien DobberProspects
Hugo AlnefeltNew York Rangers201989 Lien DobberProspects
Jagger FirkusNew York Rangers202223 Lien DobberProspects
Jan Jenik*New York Rangers201888 Lien DobberProspects
Jimmy SnuggerudNew York Rangers202221 Lien DobberProspects
Jiri KulichNew York Rangers202227 Lien DobberProspects
Lukas DostalNew York Rangers2018106 Lien DobberProspects
Lukas ReichelNew York Rangers202029 Lien DobberProspects
Nico DawsNew York Rangers202095 Lien DobberProspects
Nico GrossNew York Rangers2018127 Lien DobberProspects
Noah ÖstlundNew York Rangers202230 Lien DobberProspects
Olen ZellwegerNew York Rangers202144 Lien DobberProspects
Pascal LabergeNew York Rangers201639 Lien DobberProspects
Paul LudwinskiNew York Rangers202263 Lien DobberProspects
Quinton BurnsNew York Rangers2023109 Lien DobberProspects
Rutger McGroartyNew York Rangers202222 Lien DobberProspects
Samuel JohannessonNew York Rangers2020161 Lien DobberProspects
Scott MorrowNew York Rangers202149 Lien DobberProspects
Scott PerunovichNew York Rangers201862 Lien DobberProspects
Sebastian CossaNew York Rangers202126 Lien DobberProspects
Slava DeminNew York Rangers2018120 Lien DobberProspects
Tom WillanderNew York Rangers202324 Lien DobberProspects
Tomas HamaraNew York Rangers202273 Lien DobberProspects
Tristen RobinsNew York Rangers2020126 Lien DobberProspects
Tyce ThompsonNew York Rangers2019104 Lien DobberProspects
Zeb ForsfjällNew York Rangers2023175 Lien DobberProspects

Choix au repêchage

Année R1R2R3R4R5R6R7
2024
2025
2026
2027
2028




La base de données des nouvelles du STHS n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.




[2024-03-14 19:43:39] - TRADE : From New York Rangers to New York Islanders : Andrei Altybarmakyan, Shai Buium (P), Y:2024-RND:4-WPG.
[2024-03-14 19:43:39] - TRADE : From New York Islanders to New York Rangers : Vince Hinostroza, $1,000,000 (Salary Cap Year 1).
[2024-03-14 18:30:05] - TRADE : From New York Rangers to Pittsburgh Penguins : Jacob Bernard-Docker (P), Y:2025-RND:4-NYR.
[2024-03-14 18:30:05] - TRADE : From Pittsburgh Penguins to New York Rangers : Tobias Rieder.
[2024-03-01 17:54:05] - TRADE : From New York Rangers to Carolina Hurricanes : Drew Commesso (P), Sawyer Mynio (P).
[2024-03-01 17:54:05] - TRADE : From Carolina Hurricanes to New York Rangers : Mark Stone, $2,000,000 (Salary Cap Year 1).
[2024-01-13 05:47:16] - JJ Peterka was added to New York Rangers.
[2024-01-05 03:52:49] - New Record for Team's Most Points (29) in 1 Game for New York Rangers!
[2024-01-05 03:52:49] - New Record for Team's Most Assists (18) in 1 Game for New York Rangers!
[2024-01-05 03:52:49] - New Record for Team's Most Goals (11) in 1 Game for New York Rangers!



[2024-03-23 17:33:08] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-03-23 17:33:01] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-03-23 04:54:58] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-03-22 16:49:34] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-03-16 17:40:57] Successfully loaded New York Rangers lines done with Web Base Client and SQLite Database from IP:129.222.211.166 .
[2024-03-15 21:08:19] Columbus Blue Jackets claimed Henrik Borgstrom from waivers by New York Rangers for $0.
[2024-03-15 06:56:40] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-03-15 06:56:40] Henrik Borgstrom of New York Rangers was sent down to farm.
[2024-03-15 06:56:40] JJ Peterka of New York Rangers was sent to pro.
[2024-03-15 06:56:39] New York Rangers placed Henrik Borgstrom on waivers.
[2024-03-14 22:46:04] Auto Lines Partial Function has been run for New York Rangers.
[2024-03-14 22:46:04] New York Rangers lines errors : Normal line # 1 LW is empty. Normal line # 4 RW is empty. 4 vs 4 line 1 C is empty. PP line 2 LW is empty. Extra Forward #1 is empty. Penalty Shot Player #5 is empty. OT Forward #6 is empty.
[2024-03-14 22:44:59] JJ Peterka of New York Rangers was sent down to farm.
[2024-03-14 22:44:39] New York Rangers roster errors : Too many Players available in Pro Team! 20 Dressed. Maximum is 18. Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-03-14 22:44:38] Maximum Pro Players Limit Reached for New York Rangers!
[2024-03-14 22:44:37] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-03-14 22:44:23] Maximum Pro Players Limit Reached for New York Rangers!
[2024-03-14 22:33:05] Maximum Pro Players Limit Reached for New York Rangers!
[2024-03-14 22:17:32] Maximum Pro Players Limit Reached for New York Rangers!
[2024-03-14 22:17:12] Maximum Pro Players Limit Reached for New York Rangers!
[2024-03-14 22:06:33] Maximum Pro Players Limit Reached for New York Rangers!
[2024-03-14 22:06:18] Maximum Pro Players Limit Reached for New York Rangers!



Pas de blessure ou de suspension.




Total Domicile Visiteur
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