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New York Rangers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Alexandre Gagné | Morale : 50 | Team Overall : 76
Next Games #16 vs Pittsburgh Penguins

Pittsburgh Penguins
0-0-0, 0pts
Day 2
New York Rangers
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
New York Rangers
0-0-0, 0pts
Day 3
New York Islanders
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Philadelphia Flyers
0-0-0, 0pts
Day 5
New York Rangers
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerAlexandre Gagné
DivisionMetro Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameMadison Square Garden
Capacity19,000
Attendance
Season Tickets17,670


Roster Info

Pro Team20
Farm Team30
Contract Limit50 / 60
Prospects10


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap95,500,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account20,000,000$
Projected Bank Account20,000,000$


Filter Tips
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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
# Player Name C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Nathan MacKinnonX100.0068507390799292977398917892878305387029512,600,000$
2Mark ScheifeleX100.007161698182899491748589738789850538303258,500,000$
3Filip ForsbergX100.007945738381889293518488718888820538203058,500,000$
4Brad MarchandXXX100.007450678468899488508182738491920538003755,250,000$
5Lucas RaymondXX100.007041878979898290418684728763530538002358,075,000$
6Frank VatranoXX100.007748648278889089507883748484740537903134,571,189$
7Jake EvansXX100.007544898276868578807771827773630537702942,850,000$
8Garnet HathawayX100.008968637583838875527170767484740537503310$
9Logan O'ConnorX100.007462808472858675517271787776660537502852,500,000$
10Morgan BarronXXX100.008243897589818475726870787368580537402621,850,000$
11Mark JankowskiXX100.00645077748584847477667172738272053730301800,000$
12William DufourX100.005745646167646362435856516051500535902310$
13Mike MathesonX100.007052708679928986408173928184790538203114,875,000$
14Neal PionkX100.007547698876918684407975878379690538002957,000,000$
15Brandon MontourX100.007057668278908889407982758482720537903157,142,857$
16Brock FaberX100.006543858884927783407675838259500537802258,500,000$
17Drew HellesonX100.007151677179777269406563716856500536902421,100,000$
18Nolan AllanX100.00684177717576676640636070665250053670221825,000$
Scratches
Farm Team
1Brock McGinnX100.007442847576828168446465696984740507003110$
2Brennan OthmannX100.00654274717474656642636060665550050640221863,333$
3Brian PinhoXXX100.005341746462727065446360516363550506103010$
4Fabian LysellX100.00614366716162606444645762645050050610221863,333$
5Anthony AngelloX100.006446646070706860535755605859500506002910$
6Danila KlimovichX100.00664465656762606243565961625050050600221833,333$
7Joakim KemellX100.00604269666461586344615954635050050600212886,667$
8Brad LambertX100.00564269656361586444635552615050050590212886,667$
9David GoyetteX100.00594167625861595841575559585050050580212891,667$
10Jere InnalaX100.005541686257646361425758566153500505802710$
11Reid SchaeferX100.00684266607259565942555460585050050580212886,667$
12Tyler BoucherX100.00634366596762605841525354565050050560221863,333$
13Marc Del GaizoX100.00704676747177707040666273695650050690251775,000$
14Adam WilsbyX100.00634178747378646740626170675250050670242775,000$
15Phil KempX100.00654566656767666240545668615450050630262775,000$
16Artem DudaX100.00634169676262616240615765625050050620212950,000$
17Hunter BrzustewiczX100.00594169646260586240625664615050050610202950,000$
18Nate ClurmanX100.00634270656566635840535367585550050610271775,000$
19Givani SmithX100.007667667085747267406160646673630506602710$
20Justin DowlingX100.00654182716577796769646163667767050660342775,000$
21Dominik ShineX100.00535160645972716444635655626558050610321775,000$
22Matthew StienburgX100.00635665707169616341585861635150050610241775,000$
23Mikulas HovorkaX100.00644264606863626040555564585150050600241950,000$
24Nicky LeivermannX100.005941676361626159405855645952500506002610$
25Marek AlscherX100.00614263626361595840555561585050050590212865,000$
26Aidan FulpX100.005941715968646257405352585652500505802510$
TEAM AVERAGE100.0067467172717572704766656769645905168
Filter Tips
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")
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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
# Goalie Name CON PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jonas Johansson100.00817979898179777878817471640537402921,250,000$
2Nikke Kokko100.0068616364666870686966565050053620212891,667$
Scratches
Farm Team
1Brandon Halverson100.0072666871707172717170675952050650291775,000$
2Ales Stezka100.00716667666868706668696356510506302810$
3Conner Murphy100.00665856656362635963615253500505802610$
4T.J. Semptimphelter100.00595757635856555455585451500505302310$
TEAM AVERAGE100.007065657068676866676861575305163
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
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
# Player Name Team NamePOSGP 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
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
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
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Brad MarchandNew York RangersC/LW/RW371988-05-11CANNo180 Lbs5 ft9NoNoAssign ManuallyNoNo52025-07-02FalseFalsePro & Farm5,250,000$5,250,000$5,250,000$5,250,000$No5,250,000$5,250,000$5,250,000$5,250,000$-----5,250,000$5,250,000$5,250,000$5,250,000$-----NoNoNoNo-----NHL Link
Brandon MontourNew York RangersD311994-04-11CANNo199 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,142,857$7,142,857$7,142,857$7,142,857$No7,142,857$7,142,857$7,142,857$7,142,857$-----7,142,857$7,142,857$7,142,857$7,142,857$-----NoNoNoNo-----NHL Link
Brock FaberNew York RangersD222002-08-22USANo200 Lbs6 ft1NoNoAssign ManuallyNoNo52025-07-03FalseFalsePro & Farm8,500,000$8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----NHL Link
Drew HellesonNew York RangersD242001-03-26USANo213 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm1,100,000$1,100,000$1,100,000$1,100,000$No1,100,000$--------1,100,000$--------No--------NHL Link
Filip ForsbergNew York RangersLW301994-08-13SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----NHL Link
Frank VatranoNew York RangersLW/RW311994-03-14USANo206 Lbs5 ft11NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm4,571,189$4,571,189$4,571,189$4,571,189$No4,571,189$4,571,189$-------4,571,189$4,571,189$-------NoNo-------NHL Link
Garnet HathawayNew York RangersRW331991-11-23USANo212 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm0$0$No---------------------------NHL Link
Jake EvansNew York RangersC/RW291996-06-02CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo42025-06-29FalseFalsePro & Farm2,850,000$2,850,000$2,850,000$2,850,000$No2,850,000$2,850,000$2,850,000$------2,850,000$2,850,000$2,850,000$------NoNoNo------NHL Link
Jonas JohanssonNew York RangersG291995-09-19SWENo218 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm1,250,000$1,250,000$1,250,000$1,250,000$No1,250,000$--------1,250,000$--------No--------NHL Link
Logan O'ConnorNew York RangersRW281996-08-14USANo175 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----NHL Link
Lucas RaymondNew York RangersLW/RW232002-03-28SWENo188 Lbs5 ft11NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,075,000$8,075,000$8,075,000$8,075,000$No8,075,000$8,075,000$8,075,000$8,075,000$-----8,075,000$8,075,000$8,075,000$8,075,000$-----NoNoNoNo-----NHL Link
Mark JankowskiNew York RangersC/RW301994-09-13CANNo212 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm800,000$800,000$800,000$800,000$No---------------------------NHL Link
Mark ScheifeleNew York RangersC321993-03-15CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,500,000$8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----NHL Link
Mike MathesonNew York RangersD311994-02-27CANNo196 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,875,000$4,875,000$4,875,000$4,875,000$No---------------------------NHL Link
Morgan BarronNew York RangersC/LW/RW261998-12-02CANNo220 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm1,850,000$1,850,000$1,850,000$1,850,000$No1,850,000$--------1,850,000$--------No--------NHL Link
Nathan MacKinnonNew York RangersC291995-09-01CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm12,600,000$12,600,000$12,600,000$12,600,000$No12,600,000$12,600,000$12,600,000$12,600,000$-----12,600,000$12,600,000$12,600,000$12,600,000$-----NoNoNoNo-----NHL Link
Neal PionkNew York RangersD291995-07-29USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm7,000,000$7,000,000$7,000,000$7,000,000$No7,000,000$7,000,000$7,000,000$7,000,000$-----7,000,000$7,000,000$7,000,000$7,000,000$-----NoNoNoNo-----NHL Link
Nikke KokkoNew York RangersG212004-03-14FINNo190 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm891,667$891,667$891,667$891,667$No891,667$--------891,667$--------No--------
Nolan AllanNew York RangersD222003-04-28CANNo195 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm825,000$825,000$825,000$825,000$No---------------------------NHL Link
William DufourNew York RangersRW232002-01-28CANNo194 Lbs6 ft3NoNoFantasy DraftNoNo12025-07-22FalseFalsePro & Farm0$0$No---------------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2028.00200 Lbs6 ft13.254,354,036$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
87,080,713$80,580,713$75,489,046$70,917,857$68,067,857$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
130122
230122
325122
415122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
130122
230122
325122
415122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
150122
250122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
150122
250122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
150122
250122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
150122
250122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15012250122
25012250122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
150122
250122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
150122
250122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


Filter Tips
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
OverallHomeVisitor
# VS Team 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
216Pittsburgh Penguins-New York Rangers-
328New York Rangers-New York Islanders-
547Philadelphia Flyers-New York Rangers-
763New York Rangers-Carolina Hurricanes-
979New York Islanders-New York Rangers-
1199New York Rangers-Pittsburgh Penguins-
13111Columbus Blue Jackets-New York Rangers-
14126New York Rangers-Columbus Blue Jackets-
16139New York Rangers-Philadelphia Flyers-
17153Carolina Hurricanes-New York Rangers-
19167New York Rangers-Washington Capitals-
21181Washington Capitals-New York Rangers-
Trade Deadline --- Trades can’t be done after this day is simulated!
22193New York Rangers-New Jersey Devils-
27223New Jersey Devils-New York Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040002000
Ticket Price90604530190
Attendance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
7 0 - 0%0$0$19000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 87,080,713$ 87,080,713$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 28 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 20,000,000$ 20,000,000$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 95,500,000$ 95,500,000$ -70,600,000$



Depth Chart

Left WingCenterRight Wing
Filip ForsbergAGE:30PO:0OV:82
Brad MarchandAGE:37PO:0OV:80
Lucas RaymondAGE:23PO:0OV:80
Frank VatranoAGE:31PO:0OV:79
Morgan BarronAGE:26PO:0OV:74
Brock McGinnAGE:31PO:0OV:70
Brennan OthmannAGE:22PO:0OV:64
Brian PinhoAGE:30PO:0OV:61
Jere InnalaAGE:27PO:0OV:58
Reid SchaeferAGE:21PO:0OV:58
Nathan MacKinnonAGE:29PO:0OV:87
Mark ScheifeleAGE:32PO:0OV:83
Brad MarchandAGE:37PO:0OV:80
Jake EvansAGE:29PO:0OV:77
Morgan BarronAGE:26PO:0OV:74
Mark JankowskiAGE:30PO:0OV:73
Justin DowlingAGE:34PO:0OV:66
Brian PinhoAGE:30PO:0OV:61
Matthew StienburgAGE:24PO:0OV:61
Anthony AngelloAGE:29PO:0OV:60
Brad LambertAGE:21PO:0OV:59
David GoyetteAGE:21PO:0OV:58
Brad MarchandAGE:37PO:0OV:80
Lucas RaymondAGE:23PO:0OV:80
Frank VatranoAGE:31PO:0OV:79
Jake EvansAGE:29PO:0OV:77
Garnet HathawayAGE:33PO:0OV:75
Logan O'ConnorAGE:28PO:0OV:75
Morgan BarronAGE:26PO:0OV:74
Mark JankowskiAGE:30PO:0OV:73
Givani SmithAGE:27PO:0OV:66
Brian PinhoAGE:30PO:0OV:61
Dominik ShineAGE:32PO:0OV:61
Fabian LysellAGE:22PO:0OV:61
Danila KlimovichAGE:22PO:0OV:60
Joakim KemellAGE:21PO:0OV:60
William DufourAGE:23PO:0OV:59
Tyler BoucherAGE:22PO:0OV:56

Defense #1Defense #2Goalie
Mike MathesonAGE:31PO:0OV:82
Neal PionkAGE:29PO:0OV:80
Brandon MontourAGE:31PO:0OV:79
Brock FaberAGE:22PO:0OV:78
Drew HellesonAGE:24PO:0OV:69
Marc Del GaizoAGE:25PO:0OV:69
Adam WilsbyAGE:24PO:0OV:67
Nolan AllanAGE:22PO:0OV:67
Phil KempAGE:26PO:0OV:63
Artem DudaAGE:21PO:0OV:62
Hunter BrzustewiczAGE:20PO:0OV:61
Nate ClurmanAGE:27PO:0OV:61
Mikulas HovorkaAGE:24PO:0OV:60
Nicky LeivermannAGE:26PO:0OV:60
Marek AlscherAGE:21PO:0OV:59
Aidan FulpAGE:25PO:0OV:58
Jonas JohanssonAGE:29PO:0OV:74
Brandon HalversonAGE:29PO:0OV:65
Ales StezkaAGE:28PO:0OV:63
Nikke KokkoAGE:21PO:0OV:62
Conner MurphyAGE:26PO:0OV:58
T.J. SemptimphelterAGE:23PO:0OV:53

Prospects

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ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Aidan ThompsonNew York Rangers2025289Fantasy DraftLink
Cole BeaudoinNew York Rangers202597Fantasy DraftLink
Danila YurovNew York Rangers202532Fantasy DraftLink
E.J. EmeryNew York Rangers2025160Fantasy DraftLink
Lucas PetterssonNew York Rangers2025161Fantasy DraftLink
Maxim ShabanovNew York Rangers2025225Fantasy DraftLink
Maxim StrbakNew York Rangers2025224Fantasy DraftLink
Milton GastrinNew York Rangers202596Fantasy DraftLink
Prokhor PoltapovNew York Rangers2025288Fantasy DraftLink
Tom WillanderNew York Rangers202533Fantasy DraftLink

Draft Picks

Year R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Conditional Draft Picks



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New York Rangers Trade History




No Injury or Suspension.


New York Rangers Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York Rangers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

New York Rangers Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

New York Rangers Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York Rangers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA