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New York Rangers
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 8 | GA: 3 | PP%: 14.29% | PK%: 75.00%
GM : Alexandre Gagné | Morale : 53 | Team Overall : 78
Next Games #47 vs Philadelphia Flyers

Game Center
Pittsburgh Penguins
0-2-0, 0pts
2
FINAL
4 New York Rangers
2-0-0, 4pts
Team Stats
L2StreakW2
0-1-0Home Record1-0-0
0-1-0Away Record1-0-0
0-2-0Last 10 Games2-0-0
1.50Goals Per Game4.00
6.00Goals Against Per Game1.50
40.00%Power Play Percentage14.29%
80.00%Penalty Kill Percentage75.00%
New York Rangers
2-0-0, 4pts
4
FINAL
1 New York Islanders
1-1-0, 2pts
Team Stats
W2StreakL1
1-0-0Home Record0-1-0
1-0-0Away Record1-0-0
2-0-0Last 10 Games1-1-0
4.00Goals Per Game2.50
1.50Goals Against Per Game2.50
14.29%Power Play Percentage20.00%
75.00%Penalty Kill Percentage100.00%
Philadelphia Flyers
0-2-0, 0pts
Day 5
New York Rangers
2-0-0, 4pts
Team Stats
L2StreakW2
0-1-0Home Record1-0-0
0-1-0Away Record1-0-0
0-2-0Last 10 Games2-0-0
2.50Goals Per Game4.00
4.00Goals Against Per Game4.00
0.00%Power Play Percentage14.29%
100.00%Penalty Kill Percentage75.00%
New York Rangers
2-0-0, 4pts
Day 7
Carolina Hurricanes
2-0-0, 4pts
Team Stats
W2StreakW2
1-0-0Home Record1-0-0
1-0-0Away Record1-0-0
2-0-0Last 10 Games2-0-0
4.00Goals Per Game4.00
1.50Goals Against Per Game4.00
14.29%Power Play Percentage0.00%
75.00%Penalty Kill Percentage100.00%
New York Islanders
1-1-0, 2pts
Day 9
New York Rangers
2-0-0, 4pts
Team Stats
L1StreakW2
0-1-0Home Record1-0-0
1-0-0Away Record1-0-0
1-1-0Last 10 Games2-0-0
2.50Goals Per Game4.00
2.50Goals Against Per Game4.00
20.00%Power Play Percentage14.29%
100.00%Penalty Kill Percentage75.00%
Team Leaders
Nathan MacKinnonGoals
Nathan MacKinnon
2
Neal PionkAssists
Neal Pionk
4
Lucas RaymondPoints
Lucas Raymond
4
Mark ScheifelePlus/Minus
Mark Scheifele
3
Andrei VasilevskiyWins
Andrei Vasilevskiy
2
Andrei VasilevskiySave Percentage
Andrei Vasilevskiy
0.925

Team Stats
Goals For
8
4.00 GFG
Shots For
55
27.50 Avg
Power Play Percentage
14.3%
1 GF
Offensive Zone Start
43.7%
Goals Against
3
1.50 GAA
Shots Against
40
20.00 Avg
Penalty Kill Percentage
75.0%%
1 GA
Defensive Zone Start
31.9%
Team Info

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


Arena Info

NameMadison Square Garden
Capacity19,000
Attendance0
Season Tickets17,670


Roster Info

Pro Team21
Farm Team22
Contract Limit43 / 60
Prospects7


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
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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Nathan MacKinnonX100.0068507390799292977398917892878305387030512,600,000$
2Mark ScheifeleX100.007161698182899491748589738789850538303258,500,000$
3Filip ForsbergX100.007945738381889293518488718888820538203158,500,000$
4Brad MarchandXXX100.007450678468899488508182738491920538003755,250,000$
5Lucas RaymondXX100.007041878979898290418684728763530538002358,075,000$
6Zach HymanXX100.007042758181889089457788728684740538003334,125,000$
7Frank VatranoXX100.007748648278889089507883748484740537903134,571,189$
8Jake EvansXX100.007544898276868578807771827773630537702942,850,000$
9Garnet HathawayX100.008968637583838875527170767484740497503322,400,000$
10Logan O'ConnorX100.007462808472858675517271787776660537502952,500,000$
11Oskar SundqvistX100.007641767385848873677567747184740537403111,500,000$
12Mark JankowskiXX100.00645077748584847477667172738272053730311800,000$
13Mike MathesonX100.007052708679928986408173928184790538203114,875,000$
14Travis SanheimX100.007141738386948885407875938179690518202956,250,000$
15Neal PionkX100.007547698876918684407975878379690538003057,000,000$
16Brandon MontourX100.007057668278908889407982758482720537903157,142,857$
17Brent BurnsX100.006643837385898986407973837798880477904011,000,000$
18Jackson LaCombeX100.00704283858590778140767585805950049780241925,000$
Scratches
1William DufourX100.005745646167646362435856516051500485902300$
Farm Team
1Justin DowlingX100.00654182716577796769646163667767051660342775,000$
2Brennan OthmannX100.00654274717474656642636060665550050640221863,333$
3Dominik ShineX100.00535160645972716444635655626558051610321775,000$
4Matthew StienburgX100.00635665707169616341585861635150051610241775,000$
5Danila KlimovichX100.00664465656762606243565961625050050600221833,333$
6Joakim KemellX100.00604269666461586344615954635050050600212886,667$
7Brad LambertX100.00564269656361586444635552615050053590212886,667$
8David GoyetteX100.00594167625861595841575559585050050580212891,667$
9Reid SchaeferX100.00684266607259565942555460585050050580222886,667$
10Tyler BoucherX100.00634366596762605841525354565050048560221863,333$
11Marc Del GaizoX100.00704676747177707040666273695650050690251775,000$
12Drew HellesonX100.007151677179777269406563716856500496802421,100,000$
13Adam WilsbyX100.00634178747378646740626170675250053670252775,000$
14Phil KempX100.00654566656767666240545668615450050630262775,000$
15Artem DudaX100.00634169676262616240615765625050050620212950,000$
16Hunter BrzustewiczX100.00594169646260586240625664615050050610202950,000$
17Nate ClurmanX100.00634270656566635840535367585550050610271775,000$
18Mikulas HovorkaX100.00644264606863626040555564585150050600241950,000$
19Marek AlscherX100.00614263626361595840555561585050050590212865,000$
20Aidan FulpX100.005941715968646257405352585652500475802500$
TEAM AVERAGE100.0067467173737775734768676971666105170
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Andrei Vasilevskiy100.00929496929493939292948785780548603137,125,000$
2Jonas Johansson100.00817979898179777878817471640547403021,250,000$
Scratches
Farm Team
1Brandon Halverson100.0072666871707172717170675952051650291775,000$
2T.J. Semptimphelter100.00595757635856555455585451500485302300$
TEAM AVERAGE100.007674757976757474747671676105270
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul Maurice1111111CAN5851$


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
1Lucas RaymondNew York RangersLW/RW21343001530433.33%03819.250110500000000%100002.0800000010
2Neal PionkNew York RangersD2044100144250%04723.690113600004000%000001.6900000010
3Jackson LaCombeNew York RangersD3123-2004340425.00%36421.391123800003000%000000.9300000000
4Nathan MacKinnonNew York RangersC221310004112618.18%04623.4100007000031060.47%4300001.2800000100
5Brent BurnsNew York RangersD2022220432300%34020.330002600002000%000000.9800000000
6Mark ScheifeleNew York RangersC22023006351040.00%04221.1100005000031050.00%3400000.9500000100
7Travis SanheimNew York RangersD3022000442220%67424.680000900007000%000000.5400000000
8Brad MarchandNew York RangersC/LW/RW2011320120110%03819.2400005000000033.33%300000.5200000000
9Brandon MontourNew York RangersD2011220402220%34020.430001600002000%000000.4900000000
10Frank VatranoNew York RangersLW/RW2011100525220%03015.250000000000000%100000.6600000000
11Jake EvansNew York RangersC/RW21011000441325.00%03015.3600000000000069.23%2600100.6500000000
12Mike MathesonNew York RangersD21011204351420.00%04623.121014600002000%000000.4300000000
13Oskar SundqvistNew York RangersC210110001101100.00%0105.1600000000000085.71%1400001.9400000001
14Zach HymanNew York RangersLW/RW2011000034120%13618.480001700003000%300000.5400000000
15Adam WilsbyHartford Wolf Pack (NYR)D1000000020000%01717.850000000001000%00000000000000
16Brad LambertHartford Wolf Pack (NYR)C2000100000000%000.330000000000000%00000000000000
17Drew HellesonHartford Wolf Pack (NYR)D1000200300000%21515.550000000000000%00000000000000
18Filip ForsbergNew York RangersLW2000000653640%03618.4800017000030083.33%60000000000000
19Logan O'ConnorNew York RangersRW2000000324110%02914.98000000000000100.00%20000000000000
20Mark JankowskiNew York RangersC/RW2000100000000%0105.16000000000000100.00%20000000000000
Team Total or Average40918272180465059254115.25%1869917.4823515810000402061.48%13500100.7700000221
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
1Andrei VasilevskiyNew York Rangers22000.9251.50120003400000020000
Team Total or Average22000.9251.5012000340000020000


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
Andrei VasilevskiyNew York RangersG311994-07-25RUSNo228 Lbs6 ft4NoNoTrade2025-09-09NoYes32025-09-09FalseFalsePro & Farm7,125,000$7,125,000$7,125,000$7,125,000$No7,125,000$7,125,000$-------7,125,000$7,125,000$-------NoNo-------NHL Link
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
Brent BurnsNew York RangersD401985-03-09CANNo228 Lbs6 ft5NoNoTrade2025-09-20NoNo12025-07-03FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$1,000,000$No---------------------------NHL Link
Filip ForsbergNew York RangersLW311994-08-13SWENo205 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 ManuallyNoNo22025-09-20FalseFalsePro & Farm2,400,000$2,400,000$2,400,000$2,400,000$No2,400,000$--------2,400,000$--------No--------NHL Link
Jackson LaCombeNew York RangersD242001-01-09USANo205 Lbs6 ft2NoNoTrade2025-09-20NoNo12025-05-26FalseFalsePro & Farm925,000$925,000$925,000$925,000$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 RangersG301995-09-19SWENo218 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 RangersRW291996-08-14USANo175 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/RW311994-09-13CANNo212 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
Nathan MacKinnonNew York RangersC301995-09-01CANNo200 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 RangersD301995-07-29USANo190 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
Oskar SundqvistNew York RangersC311994-03-23SWENo220 Lbs6 ft3NoNoTrade2025-09-15NoNo12025-05-26FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$1,500,000$No---------------------------NHL Link
Travis SanheimNew York RangersD291996-03-29CANNo222 Lbs6 ft4NoNoTrade2025-09-21NoNo52025-05-26FalseFalsePro & Farm6,250,000$6,250,000$6,250,000$6,250,000$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----NHL Link
William DufourNew York RangersRW232002-01-28CANNo194 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------NHL Link
Zach HymanNew York RangersLW/RW331992-06-09CANNo206 Lbs6 ft1NoNoTrade2025-09-15NoNo32025-09-15FalseFalsePro & Farm4,125,000$4,125,000$4,125,000$4,125,000$No4,125,000$4,125,000$-------4,125,000$4,125,000$-------NoNo-------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2130.43204 Lbs6 ft23.194,630,431$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
97,239,046$88,139,046$84,489,046$68,667,857$65,817,857$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergNathan MacKinnonZach Hyman30122
2Brad MarchandMark ScheifeleLucas Raymond30122
3Frank VatranoJake EvansLogan O'Connor25122
4Nathan MacKinnonOskar SundqvistMark Jankowski15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike MathesonNeal Pionk30122
2Brandon MontourBrent Burns30122
3Jackson LaCombe25122
4Mike MathesonNeal Pionk15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergNathan MacKinnonZach Hyman50122
2Brad MarchandMark ScheifeleLucas Raymond50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nathan MacKinnonMark Scheifele50122
2Filip ForsbergZach Hyman50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nathan MacKinnon50122Mike MathesonNeal Pionk50122
2Mark Scheifele50122Brandon MontourBrent Burns50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nathan MacKinnonMark Scheifele50122
2Filip ForsbergZach Hyman50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike MathesonNeal Pionk50122
2Brandon MontourBrent Burns50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergNathan MacKinnonZach HymanMike MathesonNeal Pionk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergNathan MacKinnonZach HymanMike MathesonNeal Pionk
Extra Forwards
Normal PowerPlayPenalty Kill
, Frank Vatrano, Jake Evans, Frank VatranoJake Evans
Extra Defensemen
Normal PowerPlayPenalty Kill
Mike Matheson, Neal Pionk, Brandon MontourMike MathesonNeal Pionk, Brandon Montour
Penalty Shots
Nathan MacKinnon, Mark Scheifele, Filip Forsberg, Zach Hyman, Brad Marchand
Goalie
#1 : Andrei Vasilevskiy, #2 : Jonas Johansson
Custom OT Lines Forwards
Nathan MacKinnon, Mark Scheifele, Filip Forsberg, Zach Hyman, Brad Marchand, Lucas Raymond, Frank Vatrano, Jake Evans, Logan O'Connor, Oskar Sundqvist
Custom OT Lines Defensemen
Mike Matheson, Neal Pionk, Brandon Montour, Brent Burns, Jackson LaCombe


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.
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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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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
1New York Islanders11000000413000000000001100000041321.00048120002203069150155618200.00%30100.00%0395966.10%254358.14%193357.58%2518226115
2Pittsburgh Penguins11000000422110000004220000000000021.000481200022025109602562225120.00%110.00%0395966.10%254358.14%193357.58%2619206126
Total22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412
_Since Last GM Reset22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412
_Vs Conference22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412
_Vs Division22000000835110000004221100000041341.0008162400044055161821040118407114.29%4175.00%0395966.10%254358.14%193357.58%513743132412

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
24W28162455401184000
All Games
GPWLOTWOTL SOWSOLGFGA
220000083
Home Games
GPWLOTWOTL SOWSOLGFGA
110000042
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000041
Last 10 Games
WLOTWOTL SOWSOL
200000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
7114.29%4175.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16182100440
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
395966.10%254358.14%193357.58%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
513743132412


Last Played Games
Filter Tips
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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 Penguins2New York Rangers4WBoxScore
328New York Rangers4New York Islanders1WBoxScore
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
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
6 0 - 0.00% 0$0$19000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 97,239,046$ 97,239,046$ 1$0$ 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$ 24 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:31PO:0OV:82
Brad MarchandAGE:37PO:0OV:80
Lucas RaymondAGE:23PO:0OV:80
Zach HymanAGE:33PO:0OV:80
Frank VatranoAGE:31PO:0OV:79
Brennan OthmannAGE:22PO:0OV:64
Reid SchaeferAGE:22PO:0OV:58
Nathan MacKinnonAGE:30PO:0OV:87
Mark ScheifeleAGE:32PO:0OV:83
Brad MarchandAGE:37PO:0OV:80
Jake EvansAGE:29PO:0OV:77
Oskar SundqvistAGE:31PO:0OV:74
Mark JankowskiAGE:31PO:0OV:73
Justin DowlingAGE:34PO:0OV:66
Matthew StienburgAGE:24PO:0OV:61
Brad LambertAGE:21PO:0OV:59
David GoyetteAGE:21PO:0OV:58
Brad MarchandAGE:37PO:0OV:80
Lucas RaymondAGE:23PO:0OV:80
Zach HymanAGE:33PO:0OV:80
Frank VatranoAGE:31PO:0OV:79
Jake EvansAGE:29PO:0OV:77
Garnet HathawayAGE:33PO:0OV:75
Logan O'ConnorAGE:29PO:0OV:75
Mark JankowskiAGE:31PO:0OV:73
Dominik ShineAGE:32PO: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
Travis SanheimAGE:29PO:0OV:82
Neal PionkAGE:30PO:0OV:80
Brandon MontourAGE:31PO:0OV:79
Brent BurnsAGE:40PO:0OV:79
Jackson LaCombeAGE:24PO:0OV:78
Marc Del GaizoAGE:25PO:0OV:69
Drew HellesonAGE:24PO:0OV:68
Adam WilsbyAGE:25PO: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
Marek AlscherAGE:21PO:0OV:59
Aidan FulpAGE:25PO:0OV:58
Andrei VasilevskiyAGE:31PO:0OV:86
Jonas JohanssonAGE:30PO:0OV:74
Brandon HalversonAGE:29PO:0OV:65
T.J. SemptimphelterAGE:23PO:0OV:53

Prospects

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PriorityTypeDescription
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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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Aidan ThompsonNew York Rangers2025289Fantasy DraftLink
Caden PriceNew York Rangers2025104Fantasy Draft2025-09-21Link
E.J. EmeryNew York Rangers2025160Fantasy DraftLink
Lucas PetterssonNew York Rangers2025161Fantasy DraftLink
Maxim ShabanovNew York Rangers2025225Fantasy DraftLink
Milton GastrinNew York Rangers202596Fantasy DraftLink
Prokhor PoltapovNew York Rangers2025288Fantasy DraftLink

Draft Picks

Year R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Conditional Draft Picks



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New York Rangers Trade History

[2025-09-21 09:20:46] TRADE : From New York Rangers to Anaheim Ducks : Sam Dickinson (P).
[2025-09-21 09:20:46] TRADE : From Anaheim Ducks to New York Rangers : Travis Sanheim (82), Caden Price (P).
[2025-09-20 21:39:04] TRADE : From Ottawa Senators to New York Rangers : Jackson LaCombe (78), Sam Dickinson (P), Y:2026-RND:4-NYI.
[2025-09-20 21:39:04] TRADE : From New York Rangers to Ottawa Senators : Brock Faber (78), Cole Beaudoin (P), Y:2026-RND:3-NYR.
[2025-09-20 21:25:36] Garnet Hathaway was added to New York Rangers.
[2025-09-20 05:35:03] TRADE : From Columbus Blue Jackets to New York Rangers : Brent Burns (79).
[2025-09-20 05:35:03] TRADE : From New York Rangers to Columbus Blue Jackets : Nolan Allan (67), Y:2026-RND:5-NYR.
[2025-09-19 15:17:47] Conner Murphy was released.
[2025-09-19 15:17:47] Ales Stezka was released.
[2025-09-19 15:17:47] Nicky Leivermann was released.
[2025-09-19 15:17:47] Jere Innala was released.
[2025-09-19 15:17:47] Givani Smith was released.
[2025-09-19 15:17:47] Garnet Hathaway was released.
[2025-09-19 15:17:47] Brock McGinn was released.
[2025-09-19 15:17:47] Brian Pinho was released.
[2025-09-19 15:17:47] Anthony Angello was released.
[2025-09-15 21:17:12] TRADE : From New York Islanders to New York Rangers : Oskar Sundqvist (74), Zach Hyman (80).
[2025-09-15 21:17:12] TRADE : From New York Rangers to New York Islanders : Fabian Lysell (61), Morgan Barron (74), Danila Yurov (P).
[2025-09-10 23:10:45] Hartford Wolf Pack hired John Tortorella for $1 for 5 year(s).
[2025-09-10 23:10:37] New York Rangers hired Paul Maurice for $1 for 5 year(s).
[2025-09-09 11:23:05] TRADE : From Winnipeg Jets to New York Rangers : Andrei Vasilevskiy (85).
[2025-09-09 11:23:05] TRADE : From New York Rangers to Winnipeg Jets : Nikke Kokko (62), Maxim Strbak (P), Tom Willander (P), Y:2026-RND:1-NYR.



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