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New York Rangers
GP: 18 | W: 6 | L: 8 | OTL: 4 | P: 21
GF: 41 | GA: 56 | PP%: 20.83% | PK%: 84.13%
GM : Corey | Morale : 40 | Team Overall : 77
Next Games #260 vs Quebec Nordiques

Game Center
Philadelphia Flyers
8-8-2, 25pts
6
2 New York Rangers
6-8-4, 21pts
Team Stats
L1StreakL2
5-4-1Home Record1-6-2
3-4-1Away Record5-2-2
5-3-2Last 10 Games4-5-1
2.83Goals Per Game2.28
2.89Goals Against Per Game3.11
20.63%Power Play Percentage20.83%
81.13%Penalty Kill Percentage84.13%
Pittsburgh Penguins
9-9-0, 23pts
3
1 New York Rangers
6-8-4, 21pts
Team Stats
W1StreakL2
3-6-0Home Record1-6-2
6-3-0Away Record5-2-2
6-4-0Last 10 Games4-5-1
2.83Goals Per Game2.28
3.00Goals Against Per Game3.11
12.90%Power Play Percentage20.83%
79.45%Penalty Kill Percentage84.13%
New York Rangers
6-8-4, 21pts
Day 48
Quebec Nordiques
9-8-1, 28pts
Team Stats
L2StreakL3
1-6-2Home Record4-5-1
5-2-2Away Record5-3-0
4-5-1Last 10 Games5-5-0
2.28Goals Per Game2.94
3.11Goals Against Per Game2.94
20.83%Power Play Percentage20.41%
84.13%Penalty Kill Percentage85.05%
Hamilton Mustangs
12-5-1, 35pts
Day 50
New York Rangers
6-8-4, 21pts
Team Stats
L1StreakL2
9-1-0Home Record1-6-2
3-4-1Away Record5-2-2
8-2-0Last 10 Games4-5-1
2.94Goals Per Game2.28
2.11Goals Against Per Game2.28
16.13%Power Play Percentage20.83%
79.31%Penalty Kill Percentage84.13%
New York Rangers
6-8-4, 21pts
Day 53
Montreal Canadiens
9-8-1, 27pts
Team Stats
L2StreakL2
1-6-2Home Record4-7-0
5-2-2Away Record5-1-1
4-5-1Last 10 Games4-5-1
2.28Goals Per Game3.11
3.11Goals Against Per Game3.11
20.83%Power Play Percentage19.35%
84.13%Penalty Kill Percentage78.13%
Team Leaders
Goals
Mika Zibanejad
7
Assists
Clayton Keller
9
Points
Mika Zibanejad
14
Plus/Minus
Rem Pitlick
0
Wins
Martin Jones
6
Save Percentage
Martin Jones
0.908

Team Stats
Goals For
41
2.28 GFG
Shots For
558
31.00 Avg
Power Play Percentage
20.8%
15 GF
Offensive Zone Start
39.8%
Goals Against
56
3.11 GAA
Shots Against
526
29.22 Avg
Penalty Kill Percentage
84.1%%
10 GA
Defensive Zone Start
38.4%
Team Info

General ManagerCorey
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameMadison Square Garden
Capacity18,000
Attendance15,017
Season Tickets7,740


Roster Info

Pro Team22
Farm Team27
Contract Limit49 / 250
Prospects99


Finance

Year to Date Revenue9,753,300$
Year To Date Expenses22,927,870$
Estimated Season Revenue33,594,700$
Estimated Season Expenses72,775,274$
Current Bank Account151,348,950$
Projected Bank Account113,146,295$


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
1Mika Zibanejad0X99.00894988907191969199869073828083554082N032213,000,000$
2Clayton Keller0X100.0067358899559799907690906588737455408102637,366,667$
3Mikko Rantanen0X100.0074528381859090917490907483777355408102815,910,000$
4Patrik Laine0X100.00915187868094929072909067877481554081027210,000,000$
5Dylan Strome0X100.0063508984778991848987907079777955407902814,900,000$
6Filip Chytil0X99.0070558585809090838383837282717555407802545,910,000$
7Gabriel Vilardi0X100.0067548690809090839485847180717055407802545,910,000$
8Tomas Hertl0X100.0081508476809090789481837274808155407703121,670,000$
9Alexis Lafreniere (R)0X100.0080428080808787696076716271687855407102332,000,000$
10Matvei Michkov (R)0X100.0053357897588679766778785580606055407102032,000,000$
11Jimmy Vesey0X100.007746756972828466706869676880785540690321625,000$
12Nikita Zadorov0X99.00996291789999997674826888667985554083N03032,000,000$
13Evan Bouchard0X99.0066458695809299825093738976737955408202513,825,000$
14Sami Niku0X100.0060389099778988775681758477777755407902814,900,000$
15Brady Skjei0X100.0090517774918990745082657568808055407603123,000,000$
16Brian Dumoulin0X100.0068498968958790707072648062818555407503313,000,000$
17Derrick Pouliot0X100.0055479174807882715074667865807555407203121,600,000$
Scratches
1Tage Thompson0XS171578079959192857980917085748255407902725,910,000$
2Rem Pitlick0X100.005446777765808969717369717177625540690282624,000$
3Victor Mete0X100.005444838268798170507261786574765540710272500,000$
Farm Team
1Ronalds Kenins0X98.008148716571757463606765656582705540660341500,000$
2Joel L'Esperance0X99.006353736281727464666267696578655540650291624,000$
3Joseph Cramarossa0X99.008546647070727061606365656580595540650322500,000$
4Oskar Back0X98.005347826680777760746562646273835540650253600,000$
5Daniel Catenacci0X100.005719816865747261606465676472675540640321625,000$
6Nicholas Abruzzese0X99.005435798055677560605860706570675540640261500,000$
7Seth Griffith0X100.005846747159747162626764646480645540640321625,000$
8Noah Philp0X99.005142776975666660686159656275755540630261500,000$
9Ben Jones0X100.005850717266656560685659656275755540620261500,000$
10Ben Meyers0X100.005042747070646460685659686275755540620261500,000$
11Joachim Blichfeld0X98.145110357865645760505661716562579040620261500,000$
12Tye Felhaber0X100.005040797361585855505659686175755540610261500,000$
13Radim Simek0X99.008649786976787768507065696180815540710321625,000$
14Uvis Balinskis0X99.006644787272718063506460725977685540680282500,000$
15Andrei Mironov0X100.007215578168656464506560686366617940660301500,000$
16Ben Hutton0X100.005355696886747861506459685780685540660321625,000$
17Gustav Olofsson0X100.005346717363687066506962726079685540660303500,000$
18Ryan Sproul0X100.005149776785696962506560655680745540650321625,000$
19Mike Vecchione0X100.005443756949666161755861666280635540610321625,000$
20Jimmy Schuldt0X100.005145846882676760505659675679895540650301500,000$
21Tyler Lewington0X100.007772397470606060505659665876627540640301500,000$
22Brady Keeper0X100.005215847855646359505659695963588540620291624,000$
TEAM AVERAGE99.62664578777478797064716970687573584070
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
1Martin Jones096.008175758683848583838483846955408003515,000,000$
2Sergei Bobrovsky0100.008183838281848481818482857055407903615,000,000$
Scratches
Farm Team
1Andrey Makarov097.00805858807673747677737478648440720321625,000$
2JUHA JATKOLA0100.00816060767873747777747562565240710221250,000$
3HUNTER SHEPARD0100.00666060727476777777767770595040700291259,000$
4JACOB JOHANSSON0100.00526060787475767474757476645240700311259,000$
5JOEL LASSINANTTI0100.00626060687676777575767578645240700321258,000$
TEAM AVERAGE99.0072656577777778787877777664574073
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
1Mika ZibanejadNew York RangersC187714-795373456103812.50%936220.112576601011160053.74%428118000.7702001101
2Clayton KellerNew York RangersLW183912-84015165620475.36%531917.76257857000181025.00%16243000.7512000011
3Patrik LaineNew York RangersRW184812-11181043164717328.51%031817.71347657000392050.00%16114000.7513101010
4Evan BouchardNew York RangersD183710-1217526433816127.89%2848627.01325660011052000%01021000.4100100010
5Mikko RantanenNew York RangersLW186410-52315223456215410.71%1333718.7623510540002481063.16%1994000.5901003012
6Gabriel VilardiNew York RangersC18549-360182846112210.87%526214.60000041012151052.91%20666000.6800000100
7Tomas HertlNew York RangersC18246-24025252213149.09%727515.290112260000500054.70%23457000.4400000010
8Filip ChytilNew York RangersLW18145-315521183016213.33%523613.12000010111210033.33%9141000.4200100000
9Matvei MichkovNew York RangersRW18235-12157103313296.06%124413.56112421000000054.55%11122000.4100001000
10Tage ThompsonNew York RangersRW18415-52810222035102211.43%1027415.24101435000000044.44%962000.3600010002
11Brady SkjeiNew York RangersD18123-81205034247104.17%2438421.38112449000039000%0113000.1600000100
12Alexis LafreniereNew York RangersLW18112-280182235104.35%418010.01000010000180133.33%333000.2200000000
13Brian DumoulinNew York RangersD18022-24012168520%1027615.3401103000020000%0011000.1400000000
14Derrick PouliotNew York RangersD18022-20062410380%922812.72011422000013000%026000.1700000000
15Dylan StromeNew York RangersC18112-7100926309183.33%624213.450005260001270047.74%15572000.1700000000
16Nikita ZadorovNew York RangersD18022-117549403012170%2351028.35000666000062000%0116000.0800100000
17Sami NikuNew York RangersD13011-26021413870%1423918.41000229011027000%019000.0800000000
18Brady KeeperIowa Heartlanders (NYR)D1000000010010%177.150000000000000%00000000000000
19Jimmy VeseyNew York RangersLW13000-2201040110%01017.770000000000000%00200000000000
20Rem PitlickNew York RangersC3000000000000%010.610000000000000%00000000000000
21Victor MeteNew York RangersD6000000051000%1457.520000000001000%00100000000000
Team Total or Average3244062102-93194603924105581973657.17%175533316.4615243967579235114335152.35%1106123121000.3828416356
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
1Martin JonesNew York Rangers166630.9082.689180141444198110.5008153210
2Sergei BobrovskyNew York Rangers40210.8524.11175001281310000315000
Team Total or Average206840.8992.91109301535252291181818210


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Alexis LafreniereNew York RangersLW232001-10-11CANYes195 Lbs6 ft1NoNoDraftNoNo32025-11-02FalseFalsePro & Farm2,000,000$1,521,277$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Link / NHL Link
Brady Skjei (1 Way Contract)New York RangersD311994-03-26USANo209 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm3,000,000$2,281,915$0$0$No3,000,000$--------3,000,000$--------No--------Link
Brian Dumoulin (1 Way Contract)New York RangersD331991-09-06USANo207 Lbs6 ft4NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm3,000,000$2,281,915$0$0$No---------------------------Link
Clayton Keller (1 Way Contract)New York RangersLW261998-07-29USANo179 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm7,366,667$5,603,369$0$0$No7,366,667$7,366,667$-------7,366,667$7,366,667$-------NoNo-------Link
Derrick PouliotNew York RangersD311994-01-16CANNo196 Lbs6 ft0NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,600,000$1,217,021$0$0$No1,600,000$--------1,600,000$--------No--------Link
Dylan StromeNew York RangersC281997-03-07CANNo201 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,900,000$3,727,128$0$0$No---------------------------Link
Evan Bouchard (1 Way Contract)New York RangersD251999-10-20CANNo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,825,000$2,909,441$0$0$No---------------------------Link
Filip Chytil (1 Way Contract)New York RangersLW251999-09-05CZENo209 Lbs6 ft3NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,910,000$4,495,372$0$0$No5,910,000$5,910,000$5,910,000$------5,910,000$5,910,000$5,910,000$------NoNoNo------Link
Gabriel Vilardi (1 Way Contract)New York RangersC251999-08-16CANNo216 Lbs6 ft3NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,910,000$4,495,372$0$0$No5,910,000$5,910,000$5,910,000$------5,910,000$5,910,000$5,910,000$------NoNoNo------Link
Jimmy VeseyNew York RangersLW321993-05-26USANo203 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$475,399$0$0$No---------------------------Link
Martin Jones (1 Way Contract)New York RangersG351990-01-10CANNo203 Lbs6 ft5NoNoFree AgentNoNo12025-10-03FalseFalsePro & Farm5,000,000$3,803,191$0$0$No---------------------------Link
Matvei MichkovNew York RangersRW202004-12-09RUSYes172 Lbs5 ft10NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm2,000,000$1,521,277$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Link
Mika Zibanejad (1 Way Contract)New York RangersC321993-04-18SWENo201 Lbs6 ft2YesNoFree AgentNoNo22025-10-10FalseFalsePro Only13,000,000$9,888,298$0$0$No13,000,000$--------13,000,000$--------Yes--------Link
Mikko Rantanen (1 Way Contract)New York RangersLW281996-10-29FINNo216 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm5,910,000$4,495,372$0$0$No---------------------------Link
Nikita Zadorov (1 Way Contract)New York RangersD301995-04-16RUSNo236 Lbs6 ft6YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only2,000,000$1,521,277$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------YesYes-------Link
Patrik Laine (1 Way Contract)New York RangersRW271998-04-19FINNo216 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm10,000,000$7,606,383$0$0$No10,000,000$--------10,000,000$--------No--------Link
Rem PitlickNew York RangersC281997-04-02CANNo196 Lbs5 ft11NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm624,000$474,638$0$0$No624,000$--------624,000$--------No--------Link
Sami Niku (1 Way Contract)New York RangersD281996-10-10FINNo176 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,900,000$3,727,128$0$0$No---------------------------Link
Sergei Bobrovsky (1 Way Contract)New York RangersG361988-09-20RUSNo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm5,000,000$3,803,191$0$0$No---------------------------Link
Tage Thompson (1 Way Contract)New York RangersRW271997-10-30USANo220 Lbs6 ft6NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm5,910,000$4,495,372$0$0$No5,910,000$--------5,910,000$--------No--------Link
Tomas HertlNew York RangersC311993-11-12CZENo214 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,670,000$1,270,266$0$0$No1,670,000$--------1,670,000$--------No--------Link
Victor MeteNew York RangersD271998-06-07CANNo187 Lbs5 ft9NoNoTrade2025-12-17NoNo22025-09-30FalseFalsePro & Farm500,000$380,319$0$0$No500,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.55201 Lbs6 ft22.004,302,303$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
94,650,667$61,490,667$25,186,667$11,820,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ChytilMika Zibanejad40032
2Clayton KellerGabriel VilardiPatrik Laine30032
3Mikko RantanenTomas HertlMatvei Michkov20032
4Alexis LafreniereDylan StromeJimmy Vesey10032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard40032
2Sami NikuBrady Skjei30032
3Brian DumoulinDerrick Pouliot20032
4Nikita ZadorovEvan Bouchard10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clayton KellerMika ZibanejadPatrik Laine60005
2Mikko RantanenTomas Hertl40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard60014
2Sami NikuBrady Skjei40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tomas HertlMikko Rantanen60050
2Dylan StromeFilip Chytil40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard60050
2Sami NikuBrady Skjei40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tomas Hertl60050Nikita ZadorovEvan Bouchard60050
2Dylan Strome40050Sami NikuBrady Skjei40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadPatrik Laine60032
2Tomas HertlClayton Keller40032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard60032
2Sami NikuBrady Skjei40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Clayton KellerMika ZibanejadPatrik LaineNikita ZadorovEvan Bouchard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikko RantanenTomas HertlNikita ZadorovEvan Bouchard
Extra Forwards
Normal PowerPlayPenalty Kill
Mika Zibanejad, Gabriel Vilardi, Tomas HertlGabriel Vilardi, Dylan StromeGabriel Vilardi
Extra Defensemen
Normal PowerPlayPenalty Kill
Sami Niku, Derrick Pouliot, Brian DumoulinBrian DumoulinDerrick Pouliot, Brian Dumoulin
Penalty Shots
Mika Zibanejad, Patrik Laine, Mikko Rantanen, Clayton Keller,
Goalie
#1 : Martin Jones, #2 : Sergei Bobrovsky
Custom OT Lines Forwards
Mika Zibanejad, Patrik Laine, Gabriel Vilardi, Clayton Keller, Dylan Strome, , Tomas Hertl, Mikko Rantanen, Filip Chytil, Matvei Michkov
Custom OT Lines Defensemen
Nikita Zadorov, Evan Bouchard, Sami Niku, Brady Skjei, Brian Dumoulin


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
1Anaheim Mighty Ducks11000000321000000000001100000032131.0003470021003411131002968276116.67%4175.00%024043455.30%21841952.03%12123751.05%2415208147
2Boston Bruins11000000321000000000001100000032131.000347002100319616029711315240.00%30100.00%024043455.30%21841952.03%12123751.05%2111219168
3Carolina Hurricanes1000010023-1000000000001000010023-110.3332240002003081750268616400.00%30100.00%024043455.30%21841952.03%12123751.05%2111209199
4Florida Panthers1010000034-11010000034-10000000000000.0003580002103051411021136246116.67%3166.67%024043455.30%21841952.03%12123751.05%2314197178
5Hamilton Mustangs1010000025-3000000000001010000025-300.000235000110351315702481916400.00%20100.00%024043455.30%21841952.03%12123751.05%2416208157
6Montreal Canadiens1010000015-41010000015-40000000000000.000112000100247512030141520300.00%5180.00%024043455.30%21841952.03%12123751.05%2113238156
7New Jersey Devils10000010321000000000001000001032120.6673470002012699832844155240.00%20100.00%024043455.30%21841952.03%12123751.05%2515209189
8New York Islanders1010000034-11010000034-10000000000000.0003360002103912141303028196233.33%4175.00%024043455.30%21841952.03%12123751.05%2415208157
9Ottawa Senators1010000012-1000000000001010000012-100.000123000100271386027141719200.00%6183.33%024043455.30%21841952.03%12123751.05%2011229167
10Philadelphia Flyers20100001611-51010000026-41000000145-110.1676101600231057281415362332341800.00%9277.78%224043455.30%21841952.03%12123751.05%493041173416
11Pittsburgh Penguins211000003301010000013-21100000020230.500358012010511616190521836426233.33%9188.89%024043455.30%21841952.03%12123751.05%422341183617
12Quebec Nordiques1010000024-21010000024-20000000000000.0002351011003512167032721243266.67%30100.00%024043455.30%21841952.03%12123751.05%2213209167
13Tampa Bay Lightning1000000112-11000000112-10000000000010.3331120000113991012103812424200.00%20100.00%024043455.30%21841952.03%12123751.05%2113259178
14Toronto Maple Leafs11000000211000000000001100000021131.0002460011003591511041116285120.00%30100.00%024043455.30%21841952.03%12123751.05%2112218168
15Vancouver Canucks11000000431110000004310000000000031.00047110030103615615032116204250.00%3166.67%024043455.30%21841952.03%12123751.05%2415208157
16Vegas Golden Knights1000010023-11000010023-10000000000010.3332460001102989111257426300.00%2150.00%024043455.30%21841952.03%12123751.05%22122010188
Total1858002124156-15916001011934-159420011122220210.38941621031113198255818418717817526175194392721520.83%631084.13%224043455.30%21841952.03%12123751.05%412249379161304149
_Since Last GM Reset1858002124156-15916001011934-159420011122220210.38941621031113198255818418717817526175194392721520.83%631084.13%224043455.30%21841952.03%12123751.05%412249379161304149
_Vs Conference1538001123248-16706000011328-15832001111920-1140.311324779118176245915015914216440151176319591220.34%54787.04%224043455.30%21841952.03%12123751.05%340205318134256124
_Vs Division612001111517-230200001710-33100011087170.38915193400293219552706513172463912928725.00%17288.24%024043455.30%21841952.03%12123751.05%137831275510552

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1821L2416210355852617519439211
All Games
GPWLOTWOTL SOWSOLGFGA
185802124156
Home Games
GPWLOTWOTL SOWSOLGFGA
91601011934
Visitor Games
GPWLOTWOTL SOWSOLGFGA
94201112222
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
721520.83%631084.13%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18418717817131982
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24043455.30%21841952.03%12123751.05%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
412249379161304149


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
16Tampa Bay Lightning2New York Rangers1LXXBox score
319Florida Panthers4New York Rangers3LBox score
535New York Rangers3New Jersey Devils2WXXBox score
747New York Rangers3Boston Bruins2WBox score
961New York Rangers2Carolina Hurricanes3LXBox score
1175New York Islanders4New York Rangers3LBox score
1391New York Rangers1Ottawa Senators2LBox score
16109Vegas Golden Knights3New York Rangers2LXBox score
17115Vancouver Canucks3New York Rangers4WBox score
20133New York Rangers3Anaheim Mighty Ducks2WBox score
24149New York Rangers2Toronto Maple Leafs1WBox score
27167Montreal Canadiens5New York Rangers1LBox score
30180New York Rangers2Hamilton Mustangs5LBox score
33194Quebec Nordiques4New York Rangers2LBox score
36208New York Rangers2Pittsburgh Penguins0WBox score
38217New York Rangers4Philadelphia Flyers5LXXBox score
41231Philadelphia Flyers6New York Rangers2LBox score
45247Pittsburgh Penguins3New York Rangers1LBox score
48260New York Rangers-Quebec Nordiques-
50273Hamilton Mustangs-New York Rangers-
53285New York Rangers-Montreal Canadiens-
55295Toronto Maple Leafs-New York Rangers-
59316California Golden Seals-New York Rangers-
61326New York Rangers-St Louis Blues-
63340New York Rangers-Columbus Blue Jackets-
66361Edmonton Oilers-New York Rangers-
68371New York Rangers-New York Islanders-
69382Carolina Hurricanes-New York Rangers-
71394Boston Bruins-New York Rangers-
73412New Jersey Devils-New York Rangers-
76426New York Rangers-Los Angeles Kings-
78439New York Rangers-San Jose Sharks-
80453New York Rangers-Seattle Kraken-
83466Quebec Nordiques-New York Rangers-
85479New York Rangers-Pittsburgh Penguins-
88492New York Rangers-Philadelphia Flyers-
91509New York Rangers-Winnipeg Jets-
94530Winnipeg Jets-New York Rangers-
96544Colorado Avalanche-New York Rangers-
97551New York Rangers-Colorado Avalanche-
99565Detroit Red Wings-New York Rangers-
101579Chicago Blackhawks-New York Rangers-
103590New York Rangers-Florida Panthers-
106605New York Rangers-Tampa Bay Lightning-
110624Ottawa Senators-New York Rangers-
114643New York Rangers-Toronto Maple Leafs-
117656Montreal Canadiens-New York Rangers-
119664New York Rangers-Hamilton Mustangs-
121676Columbus Blue Jackets-New York Rangers-
123697St Louis Blues-New York Rangers-
125709New York Rangers-California Golden Seals-
128724Anaheim Mighty Ducks-New York Rangers-
129736New York Rangers-Vancouver Canucks-
131750New York Rangers-Vegas Golden Knights-
134761New York Islanders-New York Rangers-
136775Carolina Hurricanes-New York Rangers-
138789New York Rangers-Boston Bruins-
141805New York Rangers-New Jersey Devils-
143816New York Rangers-Edmonton Oilers-
146833Los Angeles Kings-New York Rangers-
148844San Jose Sharks-New York Rangers-
151862Seattle Kraken-New York Rangers-
153871New York Rangers-Detroit Red Wings-
156889New York Rangers-Chicago Blackhawks-
159907New York Rangers-Quebec Nordiques-
161921Pittsburgh Penguins-New York Rangers-
163933Philadelphia Flyers-New York Rangers-
165952Hamilton Mustangs-New York Rangers-
167964New York Rangers-Montreal Canadiens-
169974Toronto Maple Leafs-New York Rangers-
Trade Deadline --- Trades can’t be done after this day is simulated!
172991New York Rangers-New York Islanders-
1741005New York Rangers-Carolina Hurricanes-
1761019Boston Bruins-New York Rangers-
1781036New Jersey Devils-New York Rangers-
1801041Florida Panthers-New York Rangers-
1811055New York Rangers-Florida Panthers-
1831070Tampa Bay Lightning-New York Rangers-
1841084New York Rangers-Tampa Bay Lightning-
1861099New York Rangers-Ottawa Senators-
1871115Ottawa Senators-New York Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price92513023186
Attendance44,68835,72516,03429,6169,093
Attendance PCT83.59%81.68%89.98%83.10%80.19%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 15017 - 83.43% 1,083,700$9,753,300$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
22,927,870$ 95,676,667$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 22,927,870$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
33,594,700$ 143 508,918$ 72,775,274$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
73,743,098$ 151,348,950$ 113,146,295$



Depth Chart

Left WingCenterRight Wing
Clayton KellerAGE:26PO:55OV:81
Mikko RantanenAGE:28PO:55OV:81
Filip ChytilAGE:25PO:55OV:78
Alexis Lafreniere (R)AGE:23PO:55OV:71
Jimmy VeseyAGE:32PO:55OV:69
Joel L'EsperanceAGE:29PO:55OV:65
Daniel CatenacciAGE:32PO:55OV:64
Nicholas AbruzzeseAGE:26PO:55OV:64
Tye FelhaberAGE:26PO:55OV:61
Mika ZibanejadAGE:32PO:55OV:82
Dylan StromeAGE:28PO:55OV:79
Gabriel VilardiAGE:25PO:55OV:78
Tomas HertlAGE:31PO:55OV:77
Rem PitlickAGE:28PO:55OV:69
Oskar BackAGE:25PO:55OV:65
Noah PhilpAGE:26PO:55OV:63
Ben JonesAGE:26PO:55OV:62
Ben MeyersAGE:26PO:55OV:62
Mike VecchioneAGE:32PO:55OV:61
Patrik LaineAGE:27PO:55OV:81
Tage ThompsonAGE:27PO:55OV:79
Matvei Michkov (R)AGE:20PO:55OV:71
Ronalds KeninsAGE:34PO:55OV:66
Joseph CramarossaAGE:32PO:55OV:65
Seth GriffithAGE:32PO:55OV:64
Joachim BlichfeldAGE:26PO:90OV:62

Defense #1Defense #2Goalie
Nikita ZadorovAGE:30PO:55OV:83
Evan BouchardAGE:25PO:55OV:82
Sami NikuAGE:28PO:55OV:79
Brady SkjeiAGE:31PO:55OV:76
Brian DumoulinAGE:33PO:55OV:75
Derrick PouliotAGE:31PO:55OV:72
Radim SimekAGE:32PO:55OV:71
Victor MeteAGE:27PO:55OV:71
Uvis BalinskisAGE:28PO:55OV:68
Andrei MironovAGE:30PO:79OV:66
Ben HuttonAGE:32PO:55OV:66
Gustav OlofssonAGE:30PO:55OV:66
Jimmy SchuldtAGE:30PO:55OV:65
Ryan SproulAGE:32PO:55OV:65
Tyler LewingtonAGE:30PO:75OV:64
Brady KeeperAGE:29PO:85OV:62
Martin JonesAGE:35PO:55OV:80
Sergei BobrovskyAGE:36PO:55OV:79
Andrey MakarovAGE:32PO:84OV:72
JUHA JATKOLAAGE:22PO:52OV:71
JACOB JOHANSSONAGE:31PO:52OV:70
JOEL LASSINANTTIAGE:32PO:52OV:70
HUNTER SHEPARDAGE:29PO:50OV:70

Prospects

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsNew York Rangers00
0x RFA Tag (Clayton Keller Y28)New York Rangers00
1 000 000 NSHL25 Waiver BucksNew York Rangers00
1x NSHL26 ODW ClaimNew York Rangers00
37x TC PTSNew York Rangers00
Adam KleberNew York Rangers24710Link
Alexander RykovNew York Rangers231390Link
Alexander SuzdalevNew York Rangers221170Link
Anton WahlbergNew York Rangers23510Link
Arttu KarkiNew York Rangers23770Link
Artyum DudaNew York Rangers22980Link
Atte JokiNew York Rangers251940Link
Beckett HendricksonNew York Rangers231370Link
Benjamin RautiainenNew York Rangers25990Link
Bogdan KonyushkovNew York Rangers231410Link
Brad GardinerNew York Rangers231110Link
Bradly NadeauNew York Rangers23300Link
Brett PollockNew York Rangers14760Link
Caden PriceNew York Rangers231140Link
Calum RitchieNew York Rangers23270Link
Carson BjarnasonNew York Rangers23520Link
Carson RehkopfNew York Rangers23830Link
Carter GeorgeNew York Rangers24460Link
Carter KlippensteinNew York Rangers251450Link
Charlie CerratoNew York Rangers25420Link
Charlie TretheweyNew York Rangers25710Link
Coulson PitreNew York Rangers23970Link
Danila KlimovichNew York Rangers21380Link
Dmitri BuchelnikovNew York Rangers22500Link
Dmitry KuzminNew York Rangers211010Link
Easton CowanNew York Rangers23420Link
Elijah NeuenschwanderNew York Rangers25930Link
Evan FitzpatrickNew York Rangers16810Link
Felix Unger-SorumNew York Rangers23730Link
Gabriel EliassonNew York Rangers24900Link
Gabriel FortierNew York Rangers18680Link
Hagen BurrowsNew York Rangers241680Link
Haoxi WangNew York Rangers25360Link
Ilya NabokovNew York Rangers24350Link
Ilya ProtasNew York Rangers241130Link
Ilyas MagomedsultanovNew York Rangers251080Link
Ivan Tkach-TkachenkoNew York Rangers251160Link
Jack BerglundNew York Rangers24950Link
Jacob RombachNew York Rangers25640Link
Jakub DvorakNew York Rangers231250Link
Jalen LuypenNew York Rangers221200Link
James HagensNew York Rangers2540Link
Jorian DonovanNew York Rangers221210Link
Joshua RavensbergenNew York Rangers25350Link
Juha JatkolaNew York Rangers231120Link
Kaapo KakkoNew York Rangers1920Link
Kalan LindNew York Rangers23920Link
Kristian EppersonNew York Rangers25730Link
Lenni HameenahoNew York Rangers23680Link
Leo Sahlin-WalleniusNew York Rangers24590Link
Liam FoudyNew York Rangers18360Link
Linus ErikssonNew York Rangers24550Link
Linus FunckNew York Rangers251580Link
Lirim AmidovskiNew York Rangers251620Link
Logan MaillouxNew York Rangers21990Link
Logan SawyerNew York Rangers241270Link
Maceo PhillipsNew York Rangers251330Link
Maceo PhillipsNew York Rangers251330Link
Mads Kongsbak KlyvoNew York Rangers251040Link
Matle VassNew York Rangers251210Link
Matthew RobertsonNew York Rangers191120Link
Matthew WoodNew York Rangers23130Link
Melvin FernstromNew York Rangers241440Link
Michael HrabalNew York Rangers2339Link
Nate DanielsonNew York Rangers23120Link
Nico MyatovicNew York Rangers23480Link
Nikita PrishchepovNew York Rangers251170Link
Oliver BonkNew York Rangers23340Link
Parker HolmesNew York Rangers251790Link
Pyotr AndreyanovNew York Rangers25230Link
Quentin MustyNew York Rangers23280Link
Rasmus KumpulainenNew York Rangers23710Link
Roman BausovNew York Rangers251500Link
Sascha BoumedienneNew York Rangers25310Link
Sasha PastujovNew York Rangers21300Link
Scott RatzlaffNew York Rangers231150Link
Sean BehrensNew York Rangers21620Link
Shane WrightNew York Rangers2210Link
Spencer GillNew York Rangers24990Link
Theodor HallquisthNew York Rangers25660Link
Tobias BjornfotNew York Rangers19300Link
Tom WillanderNew York Rangers23200Link
Trey AugustineNew York Rangers23400Link
Tristan BertucciNew York Rangers231130Link
Ty DellandreaNew York Rangers18300Link
Vashek BlanarNew York Rangers251570Link
Viggo GustafssonNew York Rangers241230Link
Vilmer AlrikssonNew York Rangers231190Link
Will HorcoffNew York Rangers25220Link
Will SkahanNew York Rangers241030Link
William ZellersNew York Rangers241190Link
Y25-MTL-6New York Rangers000Link
Yegor ZavraginNew York Rangers231010Link
Zachary DeanNew York Rangers21280Link

Draft Picks

Year R1R2R3R4R5R6R7
26
27
28
29
30
Conditional Draft Picks




The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.




New York Rangers Trade History

[2026-03-13 11:05:26 AM] New Record for Team's Most Penalties Minutes (23) in 1 Game for New York Rangers!
[2026-03-09 4:35:23 PM] New Record for Team's Most Shots Blocked (22) in 1 Game for New York Rangers!
[2026-03-09 4:35:23 PM] New Record for Team's Most Shots Blocked (22) in 1 Game for New York Rangers!
[2026-03-01 11:33:26 AM] New Record for Team's Most Penalties Minutes (21) in 1 Game for New York Rangers!
[2026-02-26 4:20:12 PM] New Record for Team's Most Penalties Minutes (19) in 1 Game for New York Rangers!
[2026-02-11 4:02:44 PM] New Record for Team's Most Points (11) in 1 Game for New York Rangers!
[2026-02-11 4:02:44 PM] New Record for Team's Most Assists (7) in 1 Game for New York Rangers!
[2026-02-11 4:02:44 PM] New Record for Team's Most Goals (4) in 1 Game for New York Rangers!
[2026-02-07 3:08:52 PM] New Record for Team's Most Penalties Minutes (17) in 1 Game for New York Rangers!
[2026-02-07 3:08:52 PM] New Record for Team's Most Shots Blocked (14) in 1 Game for New York Rangers!
[2026-02-01 12:08:41 PM] New Record for Team's Most Hits (31) in 1 Game for New York Rangers!
[2026-02-01 12:08:41 PM] New Record for Team's Most Penalties Minutes (11) in 1 Game for New York Rangers!



Tage Thompson is suspended for 1 more games.



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