Day : 136
MIN - 1
VEG - 4
MTL - 3
NSH - 4
TOR - 8
BUF - 5
NYI - 4
TBL - 5
CLB - 3
FLA - 1
PHI - 2
QUE - 3
CTW - 3
PAR - 6
HOU - 1
HAM - 7
CHP - 0
GRG - 6
BNG - 6
ROB - 5
WBS - 5
CHA - 4
NOR - 2
MAN - 4
VER - 1
CHI - 6
Day : 137
(31-27-2) - L3
(33-21-5) - L1
(25-25-9) - W2
(38-18-4) - W2
(48-9-5) - W4
(48-22-5) - W1
(38-19-9) - W2
(38-40-2) - L5
(13-47-5) - L1
(13-16-5) - W9

New York Rangers
GP: 61 | W: 29 | L: 27 | OTL: 5 | P: 63
GF: 204 | GA: 186 | PP%: 23.63% | PK%: 83.33%
DG: Francis Bérubé | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #999 vs Tampa Bay Lightning
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Centre de jeu
New York Rangers
29-27-5, 63pts
3
FINAL
4 Pittsburgh Penguins
26-32-3, 55pts
Team Stats
W1StreakW1
18-11-1Home Record17-12-1
11-16-4Away Record9-20-2
5-5-0Last 10 Games7-3-0
3.34Buts par match 2.62
3.05Buts contre par match 3.13
23.63%Pourcentage en avantage numérique14.55%
83.33%Pourcentage en désavantage numérique82.41%
New York Rangers
29-27-5, 63pts
8
FINAL
4 New Jersey Devils
18-40-7, 43pts
Team Stats
W1StreakL1
18-11-1Home Record9-18-3
11-16-4Away Record9-22-4
5-5-0Last 10 Games2-6-2
3.34Buts par match 2.05
3.05Buts contre par match 3.57
23.63%Pourcentage en avantage numérique11.98%
83.33%Pourcentage en désavantage numérique78.07%
Tampa Bay Lightning
27-24-7, 61pts
2024-02-08
New York Rangers
29-27-5, 63pts
Statistiques d’équipe
W3SéquenceW1
17-11-2Fiche domicile18-11-1
10-13-5Fiche visiteur11-16-4
7-3-010 derniers matchs5-5-0
2.91Buts par match 3.34
3.05Buts contre par match 3.05
21.86%Pourcentage en avantage numérique23.63%
78.48%Pourcentage en désavantage numérique83.33%
New York Rangers
29-27-5, 63pts
2024-02-11
Philadelphia Flyers
37-16-7, 81pts
Statistiques d’équipe
W1SéquenceL1
18-11-1Fiche domicile22-3-4
11-16-4Fiche visiteur15-13-3
5-5-010 derniers matchs7-3-0
3.34Buts par match 3.72
3.05Buts contre par match 2.87
23.63%Pourcentage en avantage numérique22.17%
83.33%Pourcentage en désavantage numérique78.31%
Columbus Blue Jackets
35-20-5, 75pts
2024-02-13
New York Rangers
29-27-5, 63pts
Statistiques d’équipe
W1SéquenceW1
20-7-3Fiche domicile18-11-1
15-13-2Fiche visiteur11-16-4
6-2-210 derniers matchs5-5-0
3.87Buts par match 3.34
3.07Buts contre par match 3.05
21.03%Pourcentage en avantage numérique23.63%
79.01%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Brayden Point
45
Passes
Travis Konecny
49
Points
Travis Konecny
89
Plus/Moins
Brayden Point
16
Victoires
Andrey Vasilevskiy
24
Pourcentage d’arrêts
Andrey Vasilevskiy
0.907

Statistiques d’équipe
Buts pour
204
3.34 GFG
Tirs pour
1769
29.00 Avg
Pourcentage en avantage numérique
23.6%
56 GF
Début de zone offensive
37.3%
Buts contre
186
3.05 GAA
Tirs contre
1851
30.34 Avg
Pourcentage en désavantage numérique
83.3%%
42 GA
Début de la zone défensive
38.8%
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 Mineure24
Limite contact 47 / 50
Espoirs39


Plafond salarial Non Activé

Cap Salarial de la Saison estimé84,099,270$
Plafond salarial disponible2,900,780$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour70,950,000$
Dépenses annuelles à ce jour59,614,222$
Revenus de la saison estimés26,015,000$
Dépenses de la saison estimées27,083,355$
Compte bancaire actuel142,872,705$
Compte bancaire projeté142,040,335$


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$
2Christian FischerXX100.00883683819286898277777471738376750002642,000,000$
3Walker DuehrX100.0086557678868083777373757075737665000261900,000$
4Nikolay GoldobinXX100.00643092838188888468777567728881650002812,100,000$
5Travis Konecny (A)XX100.00783385937989888975828270858897850002647,000,000$
6JJ Peterka (R)XXX100.0066258484788385857377786682757785000213950,000$
7Jason RobertsonXX100.00784082818685878465747668767980750002432,400,000$
8Viktor ArvidssonXX100.00743393917784779265787969849290150003013,350,000$
9Brayden Point (A)X100.00883885958091909478888775849192950002759,750,000$
10Tyler BertuzziXX100.00974478849087878468797878779189750002855,500,000$
11Henrik BorgstromXX100.00753388818585848076747268717776650002631,500,000$
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$
17Gustav ForslingX100.00752889848181808350787190708078850002765,750,000$
18Josh Mahura (R)X100.00793383798181737950746587637674650002521,600,000$
Rayé
1Andrei Altybarmakyan (R)X100.00734274807780817866737264777269650002521,350,000$
2Trent FredericXX100.00894081818684828073727368726868650002511,500,000$
3Ryan McDonagh (C)X92.71884478778477758250806993669999150003446,000,000$
Équipe Mineure
1Ryan Poehling (R)X100.0076379079818282807876737572807375000241900,000$
2Tyson Foerster (R)X100.0072458075808386797673736876716975000211950,000$
3Alex Formenton (R)X97.9384407889788484836773747373767185000242950,000$
4Lauri Pajuniemi (R)X99.0072308177807679787072726683716855000241850,000$
5Aidan Dudas (R)X100.0067408379708178757369697371657665000231850,000$
6Glenn GawdinXX100.0080428178798281797271716971727255000261850,000$
7Marcus Sylvegård (R)X100.0082307282818279787073716781676565000242950,000$
8Josh Norris (R)X99.00773888818086817973737269737677650002421,250,000$
9Dawson Mercer (R)X100.0068459278778585787272727572676775000221925,000$
10Nick Robertson (R)X100.0068388278748484786573726979716975000221950,000$
11Morgan Frost (R)X100.0066358986788572807674736873747375000241925,000$
12Dominik Bokk (R)XX100.00733394837885788266747466767374750002322,000,000$
13Evan Bouchard (R)X99.0078408082828281835078728168757575000241950,000$
14Rasmus SandinX99.00763384857987828350766985657976850002311,500,000$
15Scott Walford (R)X99.00904478758783817750736786637382650002421,250,000$
16Pierre-Olivier Joseph (R)X99.00773581857781828250766686667572750002411,500,000$
17Vladislav GavrikovX100.00864086768683837850726788608275650002821,900,000$
18William LagessonX100.00884579768681747650706586617574550002721,500,000$
19Cam Hillis (R)X100.0060308076668269757368677171617055000231750,000$
20Moritz Seider (R)X97.2984438178838587805073688765727385000221925,000$
21Filip Westerlund (R)X100.0066358776738065745067628355646455000241750,000$
MOYENNE D’ÉQUIPE99.628037838383848383657874767482817500
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 Vasilevskiy99.00939191889893959594989393901050002938,000,000$
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’ÉQUIPE99.50908788919391929392949080789500
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
1Travis KonecnyNew York RangersLW/RW614049891414062302105811419.05%9102916.88132033611920111535041.67%7211618021.7314000466
2Brayden PointNew York RangersC614544891626087991725612526.16%25128321.0418133150191213112967149.26%128912126021.39040006103
3Dylan CozensNew York RangersC61272754-322086551514310017.88%1298716.199918271741011164246.19%8147511031.0913000723
4Viktor ArvidssonNew York RangersLW/RW61203252-30048401787314911.24%895915.724141838174000002339.47%3810710001.0804000244
5Ivan ProvorovNew York RangersD4711213210340739268213416.18%6596320.5026813165000083200.00%01729000.6600000313
6Jakob ChychrunNew York RangersD61819273540851228327369.64%74134322.033710252240003141200.00%0966000.4000000021
7Jason RobertsonNew York RangersLW/RW61815237300723268295811.76%1289714.7213413128000003051.52%33379000.5101000024
8Ryan McDonaghNew York RangersD58022226540901106426240.00%105128722.2105541360113210000.00%0259000.3400000002
9Nikolay GoldobinNew York RangersLW/RW6181220120251910134567.92%1071911.8000000000000058.06%31626000.5600000020
10Ryan DonatoNew York RangersC/LW61101020640183810534659.52%1276912.62011020001751259.26%275610000.5200000210
11Tyler BertuzziNew York RangersLW/RW61514195480121695916488.47%30126620.7625712190123122900051.58%951528000.3001000010
12Christian FischerNew York RangersC/LW61711183280101439927547.07%1485514.03011010005961151.05%523377000.4200000010
13Brandon CarloNew York RangersD612151739201081306122233.28%88119219.540339490114210100.00%0574000.2900000000
14Gustav ForslingNew York RangersD5631316-1260581097441374.05%88121821.76145151530001145000.00%01465000.2600000000
15Conor TimminsNew York RangersD480111178038874016190.00%4579116.50000014000023000.00%0333000.2800000000
16JJ PeterkaNew York RangersC/LW/RW15371054012121751017.65%424216.16303747000000036.36%11125000.8301000000
17Josh MahuraNew York RangersD361910-414029632512174.00%3158816.3300000000030000.00%0120000.3400000000
18Henrik BorgstromNew York RangersC/LW59369-96028366719504.48%105379.1100002000001047.83%322454000.3300000001
19Walker DuehrNew York RangersRW60358-1034067158823543.41%95489.1400002000000058.33%12313000.2900000101
20Trent FredericNew York RangersC/LW25011-101801912247230.00%52399.5900000000000040.91%22251000.0800000000
21Andrei AltybarmakyanNew York RangersRW23000-380126156110.00%41998.6800000000000066.67%931000.00%00000000
Statistiques d’équipe totales ou en moyenne1098204343547325060123912191769595110711.53%6601792116.3256911472741853461042167529948.61%3298793485070.61218000253228
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 Rangers51242050.9072.762982011371479768340.647174912704
2Adin HillNew York Rangers145700.8913.506850040367199110.00%01249110
Statistiques d’équipe totales ou en moyenne65292750.9042.903668011771846967450.647176161814


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2023Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029
Attaquant
Andrei AltybarmakyanRW251997-01-02 00:21:06TW 21.55%1,250,000$1,450,000$RFA ( Groupe: 2 ) [Age: 27]
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]
Henrik BorgstromC/LW261996-01-02 05:10:15TW 31.72%1,500,000$1,500,000$1,500,000$UFA [Age: 29]
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]
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]
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]
Trent FredericC/LW251997-01-22 04:45:11TW 11.72%1,500,000$RFA ( Groupe: 2 ) [Age: 26]
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$UFA [Age: 31]
Walker DuehrRW261996-01-02 19:15:46TW 11.03%900,000$RFA ( Groupe: 2 ) [Age: 27]
MOYENNE (14)25.7954.25%47,200,000$39,350,000$38,000,000$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 06:29:38IN TW 40.00%6,500,000$6,000,000$5,500,000$5,000,000$UFA [Age: 38]
MOYENNE (7)27.0026.78%23,300,000$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 spécial0$0$0$0$0$0$0$
TOTALE (23)93.68%81,500,000$72,900,000$69,950,000$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
0
Point
21
Konecny
11
Bertuzzi
59
Cozens
24
Arvidsson
33
Robertson
22
Fischer
36
Goldobin
77
Donato
16
Borgstrom
95
Duehr
0
Défense à 5 contre 5
Défense Défense
Forsling
42
Chychrun
6
Carlo
26
Provorov
8
Mahura
5
Timmins
0
Carlo
26
Timmins
0
Attaque en avantage numérique
Ailier gauche Centre Ailier droit
Bertuzzi
59
Point
21
Konecny
11
Peterka
0
Cozens
24
Arvidsson
33
Défense en avantage numérique
Défense Défense
Provorov
8
Chychrun
6
Carlo
26
Forsling
42
Attaque à 4 en désavantage numérique
Centre Ailier
Point
21
Bertuzzi
59
Fischer
36
Donato
16
Défense à 4 en désavantage numérique
Défense Défense
Carlo
26
Forsling
42
Provorov
8
Chychrun
6
3 joueurs en désavantage numérique
Ailier Défense Défense
Bertuzzi
59
Carlo
26
Forsling
42
Point
21
Provorov
8
Chychrun
6
Attaque à 4 contre 4
Centre Ailier
Borgstrom
95
Peterka
0
Fischer
36
Donato
16
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
Tyler BertuzziBrayden PointTravis KonecnyIvan ProvorovJakob Chychrun
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Christian FischerBrayden PointTyler BertuzziBrandon CarloGustav Forsling
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
JJ Peterka, Nikolay Goldobin, Henrik BorgstromRyan Donato, Christian FischerTravis Konecny
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Gustav Forsling, Jakob Chychrun, Josh MahuraBrandon CarloIvan Provorov, Conor Timmins
Tirs de pénalité
Travis Konecny, Brayden Point, Viktor Arvidsson, Dylan Cozens, JJ Peterka
Gardien
#1 : Andrey Vasilevskiy, #2 : Adin Hill
Lignes d’attaque personnalisées en prolongation
Brayden Point, Travis Konecny, Dylan Cozens, Tyler Bertuzzi, Viktor Arvidsson, JJ Peterka, JJ Peterka, Jason Robertson, Christian Fischer, Ryan Donato, 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%0596122548.65%636127549.88%37178747.14%2516208147
2Arizona Coyotes11000000541000000000001100000054121.000510150013103091380341341411100.00%20100.00%0596122548.65%636127549.88%37178747.14%2013247147
3Boston Bruins422000001112-131200000811-31100000031240.500111728003440108343737011837248814321.43%12191.67%0596122548.65%636127549.88%37178747.14%936087325930
4Buffalo Sabres33000000165112200000012481100000041361.000162743004660942736310973967417423.53%3166.67%0596122548.65%636127549.88%37178747.14%704665234422
5Calgary Flames11000000532000000000001100000053221.00058130013103715913028410194125.00%5180.00%0596122548.65%636127549.88%37178747.14%2215227157
6Carolina Hurricanes532000002118322000000148631200000710-360.60021365700105601365449330162604211017211.76%21290.48%0596122548.65%636127549.88%37178747.14%11171116397236
7Chicago Blackhawks11000000716000000000001100000071621.000713200021403212614029141028200.00%5180.00%0596122548.65%636127549.88%37178747.14%2214228157
8Colorado Avalanche11000000321110000003210000000000021.00035800120032121640301210202150.00%5260.00%0596122548.65%636127549.88%37178747.14%2214227147
9Columbus Blue Jackets11000000211110000002110000000000021.000246001100311114602798164125.00%40100.00%0596122548.65%636127549.88%37178747.14%2315237136
10Dallas Stars1000000112-1000000000001000000112-110.5001120001003916137723116164125.00%30100.00%0596122548.65%636127549.88%37178747.14%2416258157
11Detroit Red Wings1010000024-21010000024-20000000000000.00023510020031108130274826100.00%40100.00%0596122548.65%636127549.88%37178747.14%2215227147
12Florida Panthers2110000057-22110000057-20000000000020.50051015012120522215150651816425120.00%8362.50%0596122548.65%636127549.88%37178747.14%412748153014
13Los Angeles Kings1010000013-21010000013-20000000000000.000112100100268990304412400.00%20100.00%0596122548.65%636127549.88%37178747.14%2114247136
14Minnesota Wild11000000642110000006420000000000021.000610160014102861390265121733100.00%6183.33%0596122548.65%636127549.88%37178747.14%2315218156
15Montreal Canadiens41300000913-41010000046-23120000057-220.2509152410252011329453901185730926116.67%15380.00%1596122548.65%636127549.88%37178747.14%875592316029
16New Jersey Devils431000001899220000009272110000097260.750183048006750123484035011240348519526.32%17476.47%0596122548.65%636127549.88%37178747.14%986582315829
17New York Islanders40201001812-42010000146-22010100046-230.37581321004302121393744813256627121419.05%31583.87%0596122548.65%636127549.88%37178747.14%8754102345527
18Ottawa Senators404000001115-41010000034-130300000811-300.000111627005330105414024013245268214535.71%13469.23%1596122548.65%636127549.88%37178747.14%855698305527
19Philadelphia Flyers31200000813-52110000068-21010000025-320.333814220024208422273509331365416425.00%18288.89%1596122548.65%636127549.88%37178747.14%694468244221
20Pittsburgh Penguins4310000014104220000008442110000066060.75014223600563097294325012545407117317.65%19289.47%0596122548.65%636127549.88%37178747.14%885693315828
21Quebec Nordiques2110000013852110000013850000000000020.500132134004360692822190592220448337.50%10370.00%1596122548.65%636127549.88%37178747.14%442947152814
22San Jose Sharks1010000023-1000000000001010000023-100.0002350011002410122025148225240.00%4175.00%0596122548.65%636127549.88%37178747.14%2214228147
23Seattle Kraken1010000024-2000000000001010000024-200.0002460010102951113039116266116.67%3166.67%0596122548.65%636127549.88%37178747.14%2214237147
24St. Louis Blues1000000123-1000000000001000000123-110.50022400011127115105238618300.00%30100.00%0596122548.65%636127549.88%37178747.14%2213259179
25Tampa Bay Lightning1010000023-1000000000001010000023-100.00024600200034109150277214300.00%10100.00%0596122548.65%636127549.88%37178747.14%2316217146
26Vegas Golden Knights1010000023-11010000023-10000000000000.000235000200317168024104205120.00%2150.00%0596122548.65%636127549.88%37178747.14%2214228157
27Washington Capitals521001011214-22200000064230100101610-460.600122133102460143404652815664369720420.00%18383.33%0596122548.65%636127549.88%37178747.14%10767120407738
28Winnipeg Jets2010100089-1000000000002010100089-120.50081523102411571528131651628399222.22%14192.86%0596122548.65%636127549.88%37178747.14%432750162914
Total612727021042041861830181100001116902631916021038896-8630.516204343547516382574176958362954629185166050612392375623.63%2524283.33%4596122548.65%636127549.88%37178747.14%13708881417486895445
_Since Last GM Reset612727021042041861830181100001116902631916021038896-8630.516204343547516382574176958362954629185166050612392375623.63%2524283.33%4596122548.65%636127549.88%37178747.14%13708881417486895445
_Vs Conference4621210110215014010241580000194732122613011015667-11470.51115025040021525245213104344604101614235303829401814022.10%1903382.63%4596122548.65%636127549.88%37178747.14%10316671069364670334
_Vs Division26139011028377613102000014933161337011013444-10310.59683140223103030222735243256230168073052585041142320.18%1281885.94%1596122548.65%636127549.88%37178747.14%585375607208378188

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
6163W120434354717691851660506123951
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
6127272104204186
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
301811000111690
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
3191621038896
Derniers 10 matchs
W L OTW OTL SOWSOL
550000
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
2375623.63%2524283.33%4
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
583629546296382574
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
596122548.65%636127549.88%37178747.14%
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
13708881417486895445


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
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 Lightning-New York Rangers-
Jour: 142
1421022New York Rangers-Philadelphia Flyers-
Jour: 144
1441035Columbus Blue Jackets-New York Rangers-
Jour: 146
1461055New York Rangers-Columbus Blue Jackets-
Jour: 148
1481067Minnesota Wild-New York Rangers-
Jour: 151
1511091New York Rangers-Columbus Blue Jackets-
Jour: 152
1521100Tampa Bay Lightning-New York Rangers-
Jour: 155
1551123Edmonton Oilers-New York Rangers-
Jour: 157
1571132New York Rangers-Nashville Predators-
Jour: 161
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1611154New York Rangers-Florida Panthers-
Jour: 163
1631165Toronto Maple Leafs-New York Rangers-
Jour: 166
1661192Vancouver Canucks-New York Rangers-
Jour: 169
1691204New York Rangers-Toronto Maple Leafs-
Jour: 175
1751234New York Rangers-Quebec Nordiques-
Jour: 177
1771254Columbus Blue Jackets-New York Rangers-
Jour: 178
1781261New York Rangers-Toronto Maple Leafs-
Jour: 183
1831286Carolina Hurricanes-New York Rangers-
Jour: 184
1841289New York Rangers-Washington Capitals-
Jour: 185
1851307New York Rangers-Washington Capitals-
Jour: 189
1891333Vancouver Canucks-New York Rangers-
Jour: 195
1951346Carolina Hurricanes-New York Rangers-




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
Henrik BorgstromAGE:26PO:6OV:0
Ryan DonatoAGE:27PO:6OV:0
Trent FredericAGE:25PO:6OV:0
Viktor ArvidssonAGE: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
Henrik BorgstromAGE:26PO:6OV:0
Ryan DonatoAGE:27PO:6OV:0
Trent FredericAGE:25PO:6OV:0
Cam Hillis (R)AGE:23PO:5OV:0
Glenn GawdinAGE:26PO:5OV: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
Andrei Altybarmakyan (R)AGE:25PO:6OV:0
Lauri Pajuniemi (R)AGE:24PO:5OV:0
Glenn GawdinAGE:26PO:5OV:0
Viktor ArvidssonAGE:30PO: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 CommessoNew York Rangers202064 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
Jacob Bernard-DockerNew York Rangers201845 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
Sawyer MynioNew York Rangers2023159 Lien DobberProspects
Scott MorrowNew York Rangers202149 Lien DobberProspects
Scott PerunovichNew York Rangers201862 Lien DobberProspects
Sebastian CossaNew York Rangers202126 Lien DobberProspects
Shai BuiumNew York Rangers202150 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.




[2024-01-13 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!
[2023-09-25 20:32:25] - Moritz Seider has been selected as assistant for Connecticut Whale.
[2023-09-25 20:32:25] - Unknown Player is no longer as assistant for Connecticut Whale.
[2023-09-25 20:32:25] - Ryan Poehling has been selected as assistant for Connecticut Whale.
[2023-09-25 20:32:25] - Unknown Player is no longer as assistant for Connecticut Whale.
[2023-09-25 20:32:25] - Pierre-Olivier Joseph has been selected as captain for Connecticut Whale.
[2023-09-25 20:32:25] - Unknown Player is no longer captain for Connecticut Whale.
[2023-09-25 20:32:25] - Travis Konecny has been selected as assistant for New York Rangers.
[2023-09-25 20:32:25] - Unknown Player is no longer as assistant for New York Rangers.
[2023-09-25 20:32:25] - Brayden Point has been selected as assistant for New York Rangers.
[2023-09-25 20:32:25] - Unknown Player is no longer as assistant for New York Rangers.
[2023-09-25 20:32:25] - Ryan McDonagh has been selected as captain for New York Rangers.
[2023-09-25 20:32:25] - Unknown Player is no longer captain for New York Rangers.



[2024-02-20 02:42:27] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-02-19 06:07:02] Moritz Seider from Connecticut Whale is back from Torso Injury.
[2024-02-16 06:53:44] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-02-14 06:03:22] Game 955 - Ryan McDonagh from New York Rangers is injured (Torso) and is out for 2 weeks.
[2024-02-13 08:02:05] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-02-12 06:38:18] Farm Game #1001 - Marcus Sylvegård from Connecticut Whale has scored a Hat Trick!
[2024-02-11 05:44:45] Last 7 Days Pro Star : 1 - Robert Thomas of Arizona Coyotes (6-5-11) / 2 - Brayden Point of New York Rangers (6-3-9) / 3 - Brock Boeser of Vegas Golden Knights (7-2-9)
[2024-02-11 05:44:44] Pro Game #931 - Brayden Point from New York Rangers has scored a Hat Trick!
[2024-02-09 06:34:37] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-02-07 06:29:13] Ryan Poehling from Connecticut Whale is back from Exhaustion.
[2024-02-07 06:29:12] Game 947 - Moritz Seider from Connecticut Whale is injured (Torso) and is out for 2 weeks.
[2024-02-07 06:28:34] Auto Lines Partial Function has been run for Connecticut Whale.
[2024-02-07 06:28:34] Connecticut Whale (New York Rangers) lines errors : Normal line # 2 C is empty. PP line1 C is empty. PK line 2 C is empty. LastMinOff line C is empty. OT Forward #2 is empty.
[2024-02-07 06:28:34] Auto Lines Partial Function has been run for New York Rangers.
[2024-02-07 06:28:34] New York Rangers lines errors : Normal line # 4 RW is empty.
[2024-02-07 06:28:34] Auto Roster Partial Function has been run for New York Rangers.
[2024-02-07 06:28:34] Connecticut Whale roster errors : Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-02-06 05:43:34] Ryan Poehling from Connecticut Whale is injured from Exhaustion.
[2024-02-06 05:22:03] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-02-05 06:00:35] Alex Formenton from Connecticut Whale is back from Strained Left Elbow Injury.
[2024-02-05 06:00:35] Ryan Poehling from Connecticut Whale is back from Back Spasms Injury.
[2024-02-05 06:00:34] Game 928 - Alex Formenton from Connecticut Whale is injured (Strained Left Elbow) and is out for 5 days.
[2024-02-03 06:10:45] Conor Timmins from New York Rangers is back from Sprained Right Knee Injury.
[2024-02-03 06:10:44] Game 873 - Conor Timmins from New York Rangers is injured (Sprained Right Knee) and is out for 1 days.
[2024-02-03 00:53:41] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-02-02 05:59:59] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5



Ryan McDonagh est dehors pour 3 jours à cause de Torso Injury.





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