Connexion

Rangers
GP: 71 | W: 46 | L: 19 | OTL: 6 | P: 98
GF: 279 | GA: 225 | PP%: 20.57% | PK%: 83.04%
DG: Ladislav Voves | Morale : 50 | Moyenne d’équipe : 70
#1158 vs Avalanche
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Centre de jeu
Panthers
43-19-10, 96pts
1
FINAL
5 Rangers
46-19-6, 98pts
Team Stats
L3SéquenceOTL1
24-7-4Fiche domicile25-6-3
19-12-6Fiche visiteur21-13-3
5-5-0Derniers 10 matchs6-2-2
3.51Buts par match 3.93
2.93Buts contre par match 3.17
17.36%Pourcentage en avantage numérique20.57%
81.62%Pourcentage en désavantage numérique83.04%
Flyers
44-21-8, 96pts
4
FINAL
3 Rangers
46-19-6, 98pts
Team Stats
W2SéquenceOTL1
20-11-6Fiche domicile25-6-3
24-10-2Fiche visiteur21-13-3
5-3-2Derniers 10 matchs6-2-2
3.36Buts par match 3.93
2.60Buts contre par match 3.17
17.65%Pourcentage en avantage numérique20.57%
86.27%Pourcentage en désavantage numérique83.04%
Rangers
46-19-6, 98pts
Jour 142
Avalanche
49-18-5, 103pts
Statistiques d’équipe
OTL1SéquenceL2
25-6-3Fiche domicile25-8-2
21-13-3Fiche visiteur24-10-3
6-2-210 derniers matchs7-3-0
3.93Buts par match 3.69
3.17Buts contre par match 3.69
20.57%Pourcentage en avantage numérique23.10%
83.04%Pourcentage en désavantage numérique84.21%
Rangers
46-19-6, 98pts
Jour 144
Coyotes
35-32-5, 75pts
Statistiques d’équipe
OTL1SéquenceW1
25-6-3Fiche domicile18-15-3
21-13-3Fiche visiteur17-17-2
6-2-210 derniers matchs4-5-1
3.93Buts par match 3.21
3.17Buts contre par match 3.21
20.57%Pourcentage en avantage numérique18.68%
83.04%Pourcentage en désavantage numérique81.34%
Penguins
32-35-4, 68pts
Jour 145
Rangers
46-19-6, 98pts
Statistiques d’équipe
SOL1SéquenceOTL1
22-12-2Fiche domicile25-6-3
10-23-2Fiche visiteur21-13-3
4-5-110 derniers matchs6-2-2
3.10Buts par match 3.93
3.27Buts contre par match 3.93
19.84%Pourcentage en avantage numérique20.57%
85.78%Pourcentage en désavantage numérique83.04%
Meneurs d'équipe
Brock NelsonButs
Brock Nelson
37
Steven StamkosPasses
Steven Stamkos
60
Steven StamkosPoints
Steven Stamkos
94
Brock NelsonPlus/Moins
Brock Nelson
33
Filip GustavssonVictoires
Filip Gustavsson
34
Filip GustavssonPourcentage d’arrêts
Filip Gustavsson
0.888

Statistiques d’équipe
Buts pour
279
3.93 GFG
Tirs pour
2200
30.99 Avg
Pourcentage en avantage numérique
20.6%
58 GF
Début de zone offensive
41.6%
Buts contre
225
3.17 GAA
Tirs contre
1884
26.54 Avg
Pourcentage en désavantage numérique
83.0%%
48 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralLadislav Voves
EntraîneurPeter Laviolette
DivisionMetropolitan Division
ConférenceEastern Conference
CapitaineSteven Stamkos
Assistant #1Brent Burns
Assistant #2Patrick Kane


Informations de l’aréna

NomMadison Square Garden
Capacité20,000
Assistance19,280
Billets de saison10,000


Informations de la formation

Équipe Pro20
Équipe Mineure27
Limite contact 47 / 80
Espoirs14


Plafond salarial Non Activé

Cap Salarial de la Saison estimé73,916,250$
Plafond salarial disponible83,750$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour56,350,580$
Dépenses annuelles à ce jour64,603,750$
Revenus de la saison estimés11,601,590$
Dépenses de la saison estimées9,412,500$
Compte bancaire actuel5,646,096$
Compte bancaire projeté7,631,426$


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
1Steven Stamkos (C)XXX99.0072377387708694928188847094788405075N03336,500,000$
2Zach HymanXXX100.007139748478889386558787678474690507403114,500,000$
3Mats ZuccarelloXX100.006737788464889285598673709484790507203613,500,000$
4Boone JennerXX99.007941718178888780907381798172670507203023,500,000$
5Phillip DanaultXX99.007140688276849480867868788472670507103012,500,000$
6Tomas HertlXX99.007337757782869381888373697972670507102935,600,000$
7Patrick Kane (A)X100.0061347982668690825181746281827805070N03425,600,000$
8Brandon TanevXX100.008247717872779473516566816676700506803112,800,000$
9Dylan GambrellX100.00713973727072836268575578596658050620271700,000$
10Brent Burns (A)X96.006536727788919475308373776988800507303814,900,000$
11Jacob TroubaX99.008556617279879467306763836070640507102935,100,000$
12Ryan PulockX100.007738847180879460306760785570630506902834,200,000$
13Jonas BrodinX98.006937766876908360306259855672650506803023,900,000$
14Jon MerrillX100.00673776677976905430595775527466050650313600,000$
Rayé
1Brock NelsonXX91.746636778582859486768086718976720507403122,800,000$
2Evander KaneXX75.938845588079857480547982708276710507103214,500,000$
3Darnell NurseX92.217844657584919470307467856168610507202845,500,000$
4Ryan GravesX94.597239766986859260306563835568610506902844,000,000$
Équipe Mineure
1Alexey ToropchenkoXX100.00784081738773886252596275626051050640241700,000$
2Andrew AgozzinoXX100.007143727068816066515754666076690506103221,200,000$
3Chris WagnerXX100.008342726972746063535150675976690506003221,200,000$
4Brendan GaunceXX100.006537766682706061775450625770630505902921,200,000$
5Vinni LettieriXX100.00713678696869606450515058596859050580282900,000$
6Carson Meyer (R)X100.00723974696969636050535062606455050580262800,000$
7Riley SheahanXX99.006035816580666060715150645476690505803121,200,000$
8Jonathan Gruden (R)X100.00684770696861606056515063625848050570238100,000$
9Curtis McKenzieXXX100.006062626078486057355656576076680505703221,200,000$
10William Dufour (R)X100.00663577688063606150515058605446050560219100,000$
11Xavier SimoneauXXX100.00645269646244565342564655595648050530229100,000$
12Ben McCartneyXX100.00645265587452514540444758605647050520228100,000$
13Mark FriedmanX100.00784269697075655230555870526859050620271900,000$
14Gustav OlofssonX100.00643580647772604930515566497060050600282900,000$
15Andrej SustrX100.005836735188555745304643635078710505703211,200,000$
16Andrew NielsenX100.00554475508550594730484456466656050540264100,000$
17Kirill TyutyayevXXX100.00533586606640585035514655535849050520238100,000$
18Karl HenrikssonXXX100.00553584626540564644454755565647050510229100,000$
19Logan DayX100.005647705477506044304640614970610505502912,000,000$
20Patrick KudlaX74.175737745173525949305144574866540505402710100,000$
21Michael KarowX99.79553581537750594430454159486253050540249100,000$
22Jake MassieX100.00563579557152514330444159486453050530267100,000$
23Chaz ReddekoppX100.00604268508451514330434056456452050530265100,000$
MOYENNE D’ÉQUIPE96.7273407377778591745474717672746905070
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
1Filip Gustavsson96.008774717386928688888663625505070N02512,800,000$
2Cam Talbot100.00757168827476727474777384800506603611,700,000$
Rayé
Équipe Mineure
1Ivan Fedotov99.0063616095626162636261626662050590261400,000$
2Maxime Lagace100.00546158735954555858576072640505603021,200,000$
3Hugo Alnefelt100.0059535078615859616260595647050560228100,000$
4Lukas Parik100.0047484583494547494850555645050500227100,000$
MOYENNE D’ÉQUIPE98.008173707880847981818268736805068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette45908550757570USA581100,000$


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
1Steven StamkosRangersC/LW/RW7134609425200791242486519113.71%12132318.6591625582470000318251.60%146983001.4217000987
2Brock NelsonRangersC/LW673745823318050912366115715.68%9121518.1581624532201014656351.72%60951011.3537000487
3Zach HymanRangersC/LW/RW693244763316066742276816414.10%8123517.9051419442140000253347.47%9932001.2323000633
4Tomas HertlRangersC/LW7121466721180511371794311411.73%14123917.462141636220000003056.21%133603001.0800000451
5Brent BurnsRangersD71145266184406072119357111.76%68150421.187101763227000068110%036000.8800000332
6Mats ZuccarelloRangersLW/RW7120365616037110213631239.39%11123417.384812452310001353241.38%8721000.9137000402
7Patrick KaneRangersRW71223153316013821484910414.86%6116716.44661236227000004235.48%6271000.9134000023
8Boone JennerRangersC/LW66232851113801171281795215212.85%22120518.27235187400042492157.04%125033000.8501000325
9Phillip DanaultRangersC/LW72212849-102151101801795514911.73%21146420.3457123722900031782155.10%142123000.6714010441
10Darnell NurseRangersD6683139148315166688726609.20%66145322.025510442170001150110%045000.5400102305
11Evander KaneRangersLW/RW61191736-38515148511715211311.11%10101016.57581331180000001240.00%5522000.7112101251
12Brandon TanevRangersLW/RW7014203415431510268103398113.59%1598514.0801111300021403241.67%9620000.6900012102
13Jacob TroubaRangersD6972532589151494932202921.88%86126318.310113160000179300%006000.5100111110
14Ryan GravesRangersD69613199580103553952915.38%60124818.10000000002200110%005000.3000000211
15Ryan PulockRangersD71112131840090383113233.23%54124117.490001600042120025.00%816000.2100000001
16Jonas BrodinRangersD71112131830070424915332.04%87133518.81000290113220100%004000.1900000011
17Dylan GambrellRangersC66178-41953241349292.94%35288.010001400001290046.91%50120000.3000010000
18Alexey ToropchenkoHartford Wolf Pack (NYR)LW/RW23415220128101940.00%427511.99101250001421057.14%2100000.3600000100
19Jon MerrillRangersD71123-11602616325163.13%156128.6300031600051290045.45%4400000.1000000000
20Mark FriedmanHartford Wolf Pack (NYR)D3022340511110%14314.540000000004000%000000.9200000001
21Andrew AgozzinoHartford Wolf Pack (NYR)C/LW6000-175301030%0355.950000700000000%20000000001000
Statistiques d’équipe totales ou en moyenne127528651279821067375148914352318677165112.34%5722162516.96591091684782370112302062432153.20%70604451010.741435347474343
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
1Filip GustavssonRangers49341230.8882.83296741140124959210.696234922122
2Cam TalbotRangers2212730.8723.641334208163456000.44492249000
Statistiques d’équipe totales ou en moyenne71461960.8833.08430161221188311521327171122


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
Boone JennerRangersC/LW3007.07.1993No203 Lbs6 ft2NoNoN/ANoNo2Pro Only3,500,000$437,500$3,500,000$437,500$No3,500,000$--------No--------Lien NHL
Brandon TanevRangersLW/RW3107.07.1992No189 Lbs6 ft0NoNoN/ANoNo1Pro Only2,800,000$350,000$2,800,000$350,000$No------------------Lien NHL
Brent BurnsRangersD3807.07.1985No230 Lbs6 ft5NoNoN/ANoNo1Pro Only4,900,000$612,500$4,900,000$612,500$No------------------Lien NHL
Brock NelsonRangersC/LW3107.07.1992No210 Lbs6 ft4NoNoN/ANoNo2Pro Only2,800,000$350,000$2,800,000$350,000$No2,800,000$--------No--------Lien / Lien NHL
Cam TalbotRangersG3607.07.1987No201 Lbs6 ft4NoNoN/ANoNo1Pro Only1,700,000$212,500$1,700,000$212,500$No------------------Lien NHL
Darnell NurseRangersD2807.07.1995No221 Lbs6 ft4NoNoN/ANoNo4Pro Only5,500,000$687,500$5,500,000$687,500$No5,500,000$5,500,000$5,500,000$------NoNoNo------Lien NHL
Dylan GambrellRangersC2707.07.1996No185 Lbs5 ft11NoNoN/ANoNo1Pro Only700,000$87,500$700,000$87,500$No------------------Lien / Lien NHL
Evander KaneRangersLW/RW3207.07.1991No210 Lbs6 ft2NoNoN/ANoNo1Pro Only4,500,000$562,500$4,500,000$562,500$No------------------Lien NHL
Filip GustavssonRangersG2507.07.1998No184 Lbs6 ft2YesNoN/ANoNo1Pro Only2,800,000$350,000$2,800,000$350,000$No------------------Lien / Lien NHL
Jacob TroubaRangersD2907.07.1994No203 Lbs6 ft3NoNoN/ANoNo3Pro Only5,100,000$637,500$5,100,000$637,500$No5,100,000$5,100,000$-------NoNo-------Lien NHL
Jon MerrillRangersD3107.07.1992No204 Lbs6 ft3NoNoN/ANoNo3Pro Only600,000$75,000$600,000$75,000$No600,000$600,000$-------NoNo-------Lien NHL
Jonas BrodinRangersD3007.07.1993No196 Lbs6 ft2NoNoN/ANoNo2Pro Only3,900,000$487,500$3,900,000$487,500$No3,900,000$--------No--------Lien NHL
Mats ZuccarelloRangersLW/RW3607.07.1987No181 Lbs5 ft8NoNoN/ANoNo1Pro Only3,500,000$437,500$3,500,000$437,500$No------------------Lien NHL
Patrick KaneRangersRW3407.07.1989No177 Lbs5 ft10YesNoN/ANoNo2Pro Only5,600,000$700,000$5,600,000$700,000$No5,600,000$--------Yes--------Lien NHL
Phillip DanaultRangersC/LW3007.07.1993No200 Lbs6 ft1NoNoTrade31.03.2024NoNo131.03.2024Pro Only2,500,000$312,500$2,500,000$312,500$No------------------Lien / Lien NHL
Ryan GravesRangersD2807.07.1995No220 Lbs6 ft5NoNoN/ANoNo4Pro Only4,000,000$500,000$4,000,000$500,000$No4,000,000$4,000,000$4,000,000$------NoNoNo------Lien NHL
Ryan PulockRangersD2807.07.1995No216 Lbs6 ft2NoNoN/ANoNo3Pro Only4,200,000$525,000$4,200,000$525,000$No4,200,000$4,200,000$-------NoNo-------Lien NHL
Steven StamkosRangersC/LW/RW3307.07.1990No182 Lbs6 ft0YesNoN/ANoNo3Pro Only6,500,000$812,500$6,500,000$812,500$No6,500,000$6,500,000$-------YesYes-------Lien NHL
Tomas HertlRangersC/LW2907.07.1994No215 Lbs6 ft3NoNoN/ANoNo3Pro Only5,600,000$700,000$5,600,000$700,000$No5,600,000$5,600,000$-------NoNo-------Lien NHL
Zach HymanRangersC/LW/RW3107.07.1992No211 Lbs6 ft1NoNoN/ANoNo1Pro Only4,500,000$562,500$4,500,000$562,500$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.85202 Lbs6 ft22.003,760,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,200,000$47,300,000$31,500,000$9,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven StamkosZach Hyman31122
2Phillip DanaultTomas Hertl31122
3Mats ZuccarelloBoone JennerPatrick Kane28122
4Jon MerrillDylan GambrellBrandon Tanev10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent Burns36122
2Ryan Pulock36122
3Jacob TroubaJonas Brodin28131
4Jonas BrodinRyan Pulock0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boone JennerSteven Stamkos55005
2Tomas HertlZach Hyman45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick KaneBrent Burns50113
2Mats Zuccarello50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerPhillip Danault60131
2Dylan GambrellBrandon Tanev40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155131
2Jacob TroubaJonas Brodin45131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Boone Jenner5014050050
2Phillip Danault50140Jacob TroubaJonas Brodin50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven Stamkos50122
2Tomas HertlZach Hyman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJacob Trouba50122
2Jonas Brodin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven StamkosZach HymanBrent BurnsTomas Hertl
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DanaultBoone JennerBrandon TanevJacob Trouba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Tanev, Dylan Gambrell, Steven StamkosPhillip Danault, Brandon Tanev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jon Merrill, Ryan Pulock, Jacob TroubaBrent Burns, Ryan Pulock
Tirs de pénalité
Steven Stamkos, Mats Zuccarello, , Phillip Danault, Patrick Kane
Gardien
#1 : Filip Gustavsson, #2 : Cam Talbot


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
1Avalanche1010000025-31010000025-30000000000000.0002460011002396802341318500.00%4250.00%01254239452.38%1149217452.85%619118452.28%2215247125
2Blackhawks21000100761110000005321000010023-130.7507132000025061920311561417356233.33%60100.00%01254239452.38%1149217452.85%619118452.28%523844132513
3Blue Jackets312000001112-1110000005412020000068-220.3331119300034408623333008425346912325.00%12283.33%01254239452.38%1149217452.85%619118452.28%715071213719
4Blues211000006601010000023-11100000043120.50061218001320701831210512414329444.44%7271.43%01254239452.38%1149217452.85%619118452.28%503340152914
5Bruins30300000511-61010000024-22020000037-400.0005712101130601524210661934596116.67%15380.00%01254239452.38%1149217452.85%619118452.28%624280233716
6Canadiens21001000633110000002021000100043141.00061117011401661928154521927568112.50%70100.00%01254239452.38%1149217452.85%619118452.28%513646132312
7Canucks210001007611000010034-11100000042230.75071219004120481714170651326366233.33%13561.54%01254239452.38%1149217452.85%619118452.28%433054122210
8Capitals4220000010822020000036-32200000072540.500101727005320111354432011735407318422.22%200100.00%11254239452.38%1149217452.85%619118452.28%8860103314823
9Coyotes11000000743110000007430000000000021.00071320002320351315702448234125.00%4175.00%01254239452.38%1149217452.85%619118452.28%2821187126
10Devils320010001477110000005322100100094561.0001424380027419434352417126176311545.45%6183.33%01254239452.38%1149217452.85%619118452.28%684569234221
11Ducks2010000179-21000000123-11010000056-110.25071219005202602514216551831348112.50%6266.67%01254239452.38%1149217452.85%619118452.28%523746142513
12Flames21100000862110000006331010000023-120.50081624003140782621310371620339222.22%8362.50%01254239452.38%1149217452.85%619118452.28%564138122413
13Flyers3110010089-11000010034-12110000055030.500816240043108324322708424257413215.38%8187.50%01254239452.38%1149217452.85%619118452.28%755369213719
14Golden Knights21000010844110000006331000001021141.00081321001242568212210472714428337.50%70100.00%01254239452.38%1149217452.85%619118452.28%523747132412
15Hurricanes3200000113103220000008441000000156-150.8331322350037319634283347125187015213.33%9455.56%01254239452.38%1149217452.85%619118452.28%795361224324
16Islanders2110000010100110000006511010000045-120.500101626003430822525320842514449333.33%7185.71%01254239452.38%1149217452.85%619118452.28%432947162814
17Jets2010001078-1100000103211010000046-220.500712190041135023131185516235010220.00%9188.89%01254239452.38%1149217452.85%619118452.28%503449142512
18Kings20001010972100010004311000001054141.00091423002322681722248421124371119.09%11372.73%01254239452.38%1149217452.85%619118452.28%564145142412
19Kraken2110000056-1110000005321010000003-320.50058130022106615292204710144711218.18%60100.00%01254239452.38%1149217452.85%619118452.28%543840142513
20Lightning32100000151141010000034-122000000127540.6671527420057301083545280752351521200.00%10190.00%01254239452.38%1149217452.85%619118452.28%724963244322
21Maple Leafs32100000880110000003212110000056-140.66781422003140893230270911732549222.22%16287.50%01254239452.38%1149217452.85%619118452.28%765466203617
22Oilers210010001174110000007431000100043141.000112132004421582713171591726457114.29%13376.92%01254239452.38%1149217452.85%619118452.28%453051142512
23Panthers320000101376220000009451000001043161.00013223500327295381936595251654800.00%8187.50%01254239452.38%1149217452.85%619118452.28%755166214221
24Penguins21100000710-30000000000021100000710-320.5007121900313061341314064181240400.00%60100.00%01254239452.38%1149217452.85%619118452.28%442946152814
25Predators22000000963110000004311100000053241.00091726004230632123190421012228112.50%60100.00%01254239452.38%1149217452.85%619118452.28%564139122412
26Red Wings2200000014772200000014770000000000041.000142640004370731927270561714398337.50%70100.00%01254239452.38%1149217452.85%619118452.28%513744132312
27Sabres33000000166102200000010371100000063361.00016284400943010130413007726345710440.00%17288.24%01254239452.38%1149217452.85%619118452.28%704975223316
28Senators21100000541000000000002110000054120.50051015002210622514230441210346116.67%5180.00%01254239452.38%1149217452.85%619118452.28%543940122412
29Sharks22000000853110000004311100000042241.0008152300044073173521056166478112.50%30100.00%01254239452.38%1149217452.85%619118452.28%493546142412
30Stars220000001385110000008531100000053241.00013233600526067211531050142634900.00%13469.23%01254239452.38%1149217452.85%619118452.28%533741152413
31Wild210000011091110000006421000000145-130.7501017270017225714251694410336014428.57%14378.57%01254239452.38%1149217452.85%619118452.28%543744162613
Total71381904343279225543423601211147105423715130313213212012980.6902794937721190938817220070275571857188456068514332825820.57%2834883.04%11254239452.38%1149217452.85%619118452.28%176712361627519911461
_Since Last GM Reset71381904343279225543423601211147105423715130313213212012980.6902794937721190938817220070275571857188456068514332825820.57%2834883.04%11254239452.38%1149217452.85%619118452.28%176712361627519911461
_Vs Conference41231302111155123321813400100735023231090201182739540.65915527142611515348512674224383991411313363788381493120.81%1531987.58%11254239452.38%1149217452.85%619118452.28%988683953305533269
_Vs Division201070110173667852001003026412550100143403240.600731261990023292026132092101925575178160433821923.17%68986.76%11254239452.38%1149217452.85%619118452.28%472322468152267136

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7198OTL127949377222001884560685143311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7138194343279225
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
342361211147105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3715133132132120
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2825820.57%2834883.04%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
7027557185790938817
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
1254239452.38%1149217452.85%619118452.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
176712361627519911461


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
14Rangers6Sabres3AWSommaire du match
320Rangers3Blue Jackets4ALSommaire du match
426Coyotes4Rangers7BWSommaire du match
856Predators3Rangers4BWSommaire du match
1080Rangers0Kraken3ALSommaire du match
1297Rangers2Flames3ALSommaire du match
13104Rangers4Oilers3AWXSommaire du match
15121Rangers4Canucks2AWSommaire du match
17136Rangers4Jets6ALSommaire du match
19145Hurricanes3Rangers4BWSommaire du match
21166Rangers4Wild5ALXXSommaire du match
23179Red Wings2Rangers7BWSommaire du match
25194Wild4Rangers6BWSommaire du match
28221Blue Jackets4Rangers5BWSommaire du match
32251Rangers5Devils1AWSommaire du match
35274Stars5Rangers8BWSommaire du match
36282Rangers1Penguins6ALSommaire du match
38301Rangers1Flyers3ALSommaire du match
40315Bruins4Rangers2BLSommaire du match
41323Sabres2Rangers6BWSommaire du match
44348Red Wings5Rangers7BWSommaire du match
45358Rangers5Predators3AWSommaire du match
47373Rangers1Senators2ALSommaire du match
49389Rangers4Capitals1AWSommaire du match
51407Sharks3Rangers4BWSommaire du match
52414Kings3Rangers4BWXSommaire du match
54432Maple Leafs2Rangers3BWSommaire du match
57456Ducks3Rangers2BLXXSommaire du match
58462Rangers2Bruins4ALSommaire du match
61490Rangers2Maple Leafs4ALSommaire du match
63504Oilers4Rangers7BWSommaire du match
65521Sabres1Rangers4BWSommaire du match
66530Capitals3Rangers1BLSommaire du match
68547Rangers6Lightning3AWSommaire du match
70567Rangers4Panthers3AWXXSommaire du match
72578Blackhawks3Rangers5BWSommaire du match
74598Hurricanes1Rangers4BWSommaire du match
75606Rangers4Canadiens3AWXSommaire du match
77623Rangers4Blues3AWSommaire du match
79636Canucks4Rangers3BLXSommaire du match
81650Rangers3Capitals1AWSommaire du match
83668Capitals3Rangers2BLSommaire du match
84674Kraken3Rangers5BWSommaire du match
86698Rangers2Golden Knights1AWXXSommaire du match
88715Rangers5Kings4AWXXSommaire du match
89722Rangers5Ducks6ALSommaire du match
91740Rangers4Sharks2AWSommaire du match
94759Golden Knights3Rangers6BWSommaire du match
95769Rangers4Senators2AWSommaire du match
97783Avalanche5Rangers2BLSommaire du match
99798Lightning4Rangers3BLSommaire du match
100815Rangers2Blackhawks3ALXSommaire du match
102825Flames3Rangers6BWSommaire du match
104841Canadiens0Rangers2BWSommaire du match
105851Rangers4Islanders5ALSommaire du match
109883Rangers4Devils3AWXSommaire du match
112913Rangers5Stars3AWSommaire du match
113918Rangers3Blue Jackets4ALSommaire du match
116942Rangers4Flyers2AWSommaire du match
118959Rangers3Maple Leafs2AWSommaire du match
121986Panthers3Rangers4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231001Blues3Rangers2BLSommaire du match
1251018Devils3Rangers5BWSommaire du match
1261026Rangers5Hurricanes6ALXXSommaire du match
1281046Rangers6Lightning4AWSommaire du match
1301059Rangers6Penguins4AWSommaire du match
1321074Islanders5Rangers6BWSommaire du match
1331085Jets2Rangers3BWXXSommaire du match
1361104Rangers1Bruins3ALSommaire du match
1371114Panthers1Rangers5BWSommaire du match
1401138Flyers4Rangers3BLXSommaire du match
1421158Rangers-Avalanche-
1441177Rangers-Coyotes-
1451180Penguins-Rangers-
1471195Devils-Rangers-
1491215Rangers-Red Wings-
1521237Canadiens-Rangers-
1531245Rangers-Islanders-
1551262Flyers-Rangers-
1571278Islanders-Rangers-
1591293Senators-Rangers-
1601303Blue Jackets-Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80004000500020001000
Prix des billets115694837230
Assistance264,403131,490162,82063,70433,107
Attendance PCT97.21%96.68%95.78%93.68%97.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 19280 - 96.40% 1,657,370$56,350,580$20000144

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
64,603,750$ 75,200,000$ 75,200,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
470,000$ 64,516,250$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,601,590$ 20 470,625$ 9,412,500$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
9,616,260$ 5,646,096$ 7,631,426$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,916,250$ 83,750$ 74,000,000$ 29,916,250$



Charte de profondeur

Ailier gaucheCentreAilier droit
Steven StamkosAGE:33PO:0OV:75
Zach HymanAGE:31PO:0OV:74
Brock NelsonAGE:31PO:0OV:74
Mats ZuccarelloAGE:36PO:0OV:72
Boone JennerAGE:30PO:0OV:72
Phillip DanaultAGE:30PO:0OV:71
Evander KaneAGE:32PO:0OV:71
Tomas HertlAGE:29PO:0OV:71
Brandon TanevAGE:31PO:0OV:68
Alexey ToropchenkoAGE:24PO:0OV:64
Andrew AgozzinoAGE:32PO:0OV:61
Brendan GaunceAGE:29PO:0OV:59
Riley SheahanAGE:31PO:0OV:58
Jonathan Gruden (R)AGE:23PO:0OV:57
Curtis McKenzieAGE:32PO:0OV:57
Xavier SimoneauAGE:22PO:0OV:53
Ben McCartneyAGE:22PO:0OV:52
Kirill TyutyayevAGE:23PO:0OV:52
Karl HenrikssonAGE:22PO:0OV:51
Steven StamkosAGE:33PO:0OV:75
Zach HymanAGE:31PO:0OV:74
Brock NelsonAGE:31PO:0OV:74
Boone JennerAGE:30PO:0OV:72
Phillip DanaultAGE:30PO:0OV:71
Tomas HertlAGE:29PO:0OV:71
Dylan GambrellAGE:27PO:0OV:62
Andrew AgozzinoAGE:32PO:0OV:61
Chris WagnerAGE:32PO:0OV:60
Brendan GaunceAGE:29PO:0OV:59
Vinni LettieriAGE:28PO:0OV:58
Riley SheahanAGE:31PO:0OV:58
Curtis McKenzieAGE:32PO:0OV:57
Xavier SimoneauAGE:22PO:0OV:53
Kirill TyutyayevAGE:23PO:0OV:52
Karl HenrikssonAGE:22PO:0OV:51
Steven StamkosAGE:33PO:0OV:75
Zach HymanAGE:31PO:0OV:74
Mats ZuccarelloAGE:36PO:0OV:72
Evander KaneAGE:32PO:0OV:71
Patrick KaneAGE:34PO:0OV:70
Brandon TanevAGE:31PO:0OV:68
Alexey ToropchenkoAGE:24PO:0OV:64
Chris WagnerAGE:32PO:0OV:60
Vinni LettieriAGE:28PO:0OV:58
Carson Meyer (R)AGE:26PO:0OV:58
Curtis McKenzieAGE:32PO:0OV:57
William Dufour (R)AGE:21PO:0OV:56
Xavier SimoneauAGE:22PO:0OV:53
Ben McCartneyAGE:22PO:0OV:52
Kirill TyutyayevAGE:23PO:0OV:52
Karl HenrikssonAGE:22PO:0OV:51

Défense #1Défense #2Gardien
Brent BurnsAGE:38PO:0OV:73
Darnell NurseAGE:28PO:0OV:72
Jacob TroubaAGE:29PO:0OV:71
Ryan PulockAGE:28PO:0OV:69
Ryan GravesAGE:28PO:0OV:69
Jonas BrodinAGE:30PO:0OV:68
Jon MerrillAGE:31PO:0OV:65
Mark FriedmanAGE:27PO:0OV:62
Gustav OlofssonAGE:28PO:0OV:60
Andrej SustrAGE:32PO:0OV:57
Logan DayAGE:29PO:0OV:55
Patrick KudlaAGE:27PO:0OV:54
Andrew NielsenAGE:26PO:0OV:54
Michael KarowAGE:24PO:0OV:54
Jake MassieAGE:26PO:0OV:53
Chaz ReddekoppAGE:26PO:0OV:53
Filip GustavssonAGE:25PO:0OV:70
Cam TalbotAGE:36PO:0OV:66
Ivan FedotovAGE:26PO:0OV:59
Maxime LagaceAGE:30PO:0OV:56
Hugo AlnefeltAGE:22PO:0OV:56
Lukas ParikAGE:22PO:0OV:50

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
Antti PalojarviRangers00
Cameron BergRangers00
Colby AmbrosioRangers00
Connor LockhartRangers00
Jack KopackaRangers00
Jakob StukelRangers00
Jeremy HelvigRangers00
Linus NassenRangers00
Manix LandryRangers00
Mark ShoemakerRangers00
Miguel FidlerRangers00
Ryan ConmyRangers00
Yegor SerdyukRangers00
Yevgeni KashnikovRangers00

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
Choix au repêchage conditionnel



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


Rangers Historique de transactions

[04.05.2024 23:56:50] - Logan Day was added to Rangers.
[04.05.2024 23:56:47] - Logan Day has been added to Rangers.
[10.04.2024 21:08:19] - Ivan Fedotov was added to Rangers.
[08.04.2024 22:47:32] - TRADE : From Rangers to Wild : Tyler Pitlick (63).
[31.03.2024 22:45:31] - TRADE : From Rangers to Hurricanes : Y:24-RND:2-NYR, Y:24-RND:4-COL.
[31.03.2024 22:45:31] - TRADE : From Hurricanes to Rangers : Phillip Danault (71).
[21.11.2023 1:38:54] - Rangers hired Peter Laviolette for $100,000 for 1 year(s).
[20.11.2023 10:50:28] - TRADE : From Canadiens to Rangers : Andrej Sustr (57), Chaz Reddekopp (53).
[20.11.2023 10:50:28] - TRADE : From Rangers to Canadiens : Byron Froese (60), Brandon Kruse (51).



[04.05.2024 23:59:20] ($500,000) was added to Rangers bank account.
[04.05.2024 23:57:25] Andrew Agozzino of Rangers was sent to farm.
[04.05.2024 23:57:25] Chris Wagner of Rangers was sent to farm.
[04.05.2024 23:57:25] Mark Friedman of Rangers was sent to farm.
[04.05.2024 23:57:25] Alexey Toropchenko of Rangers was sent to farm.
[04.05.2024 23:57:21] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[04.05.2024 23:57:21] Auto Lines Partial Function has been run for Rangers.
[04.05.2024 23:57:21] Auto Roster Partial Function has been run for Rangers.
[04.05.2024 23:56:50] Logan Day was added to Rangers.
[04.05.2024 23:56:47] Logan Day has been added to Rangers.
[04.05.2024 23:56:45] Rangers are expected to be over the salary cap by $441,250!
[04.05.2024 23:56:27] Rangers are expected to be over the salary cap by $441,250!
[04.05.2024 23:51:32] Chris Wagner of Rangers was sent to pro.
[04.05.2024 23:51:26] Andrew Agozzino of Rangers was sent to pro.
[04.05.2024 23:51:17] Alexey Toropchenko of Rangers was sent to pro.
[04.05.2024 23:50:45] Mark Friedman of Rangers was sent to pro.
[04.05.2024 23:50:36] Hartford Wolf Pack roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 6 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2024 23:50:36] Rangers roster errors : Not enough Forward available in Pro Team! 9 Dressed. 10 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2024 23:50:05] Hartford Wolf Pack roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 6 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2024 23:50:05] Rangers roster errors : Not enough Forward available in Pro Team! 9 Dressed. 10 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2024 23:50:02] Hartford Wolf Pack roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 6 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[04.05.2024 23:50:02] Rangers roster errors : Not enough Forward available in Pro Team! 9 Dressed. 10 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[01.05.2024 21:49:25] Andrew Agozzino of Rangers was sent to farm.
[01.05.2024 21:49:25] Mark Friedman of Rangers was sent to farm.
[01.05.2024 21:49:25] Alexey Toropchenko of Rangers was sent to farm.
[01.05.2024 21:49:24] Game 1114 - Patrick Kudla from Hartford Wolf Pack is injured (Left Hand) and is out for 1 month.
[01.05.2024 21:49:24] Game 1114 - Brock Nelson from Rangers is injured (Strained Left Knee) and is out for 1 week.
[01.05.2024 21:49:21] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[01.05.2024 21:49:21] Auto Lines Partial Function has been run for Rangers.
[01.05.2024 21:48:16] Andrew Agozzino of Rangers was sent to pro.
[01.05.2024 21:48:07] Alexey Toropchenko of Rangers was sent to pro.
[01.05.2024 21:47:49] Mark Friedman of Rangers was sent to pro.
[01.05.2024 21:47:37] Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[01.05.2024 21:47:22] Auto Roster Partial Function has been run for Rangers.
[30.04.2024 22:08:08] Michael Karow from Hartford Wolf Pack is back from Strained Left Elbow Injury.
[30.04.2024 22:08:08] Andrew Agozzino of Rangers was sent to farm.
[30.04.2024 22:08:08] Alexey Toropchenko of Rangers was sent to farm.
[30.04.2024 22:08:07] Game 1104 - Ryan Graves from Rangers is injured (Sore Right Knee) and is out for 1 week.
[30.04.2024 22:08:04] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[30.04.2024 22:08:04] Auto Lines Partial Function has been run for Rangers.
[30.04.2024 22:07:37] Andrew Agozzino of Rangers was sent to pro.
[30.04.2024 22:07:28] Alexey Toropchenko of Rangers was sent to pro.
[30.04.2024 22:07:14] Rangers roster errors : Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[30.04.2024 22:07:03] Auto Roster Partial Function has been run for Rangers.
[27.04.2024 21:27:49] Alexey Toropchenko of Rangers was sent to farm.
[27.04.2024 21:27:49] Last 7 Days Farm Star : 1 - Vinni Lettieri of Hartford Wolf Pack (4-3-7) / 2 - Andrew Agozzino of Hartford Wolf Pack (5-4-9) / 3 - Chris Wagner of Hartford Wolf Pack (3-5-8)
[27.04.2024 21:27:48] Farm Game #1085 - Andrew Agozzino from Hartford Wolf Pack has scored a Hat Trick!
[27.04.2024 21:27:48] Game 1085 - Evander Kane from Rangers is injured (Strained Groin) and is out for 1 month.
[27.04.2024 21:27:06] Successfully loaded Rangers lines done with STHS Client - 3.3.5.5
[27.04.2024 21:27:06] Alexey Toropchenko of Rangers was sent to pro.



Darnell Nurse est dehors pour 3 jours à cause de Left Forearm Injury.
Patrick Kudla est dehors pour 3 semaines à cause de Left Hand Injury.
Ryan Graves est dehors pour 1 jours à cause de Sore Right Knee Injury.
Brock Nelson est dehors pour 4 jours à cause de Strained Left Knee Injury.
Evander Kane est dehors pour 3 semaines à cause de Strained Groin Injury.



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

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

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

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

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