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New York Rangers
GP: 32 | W: 14 | L: 13 | OTL: 5 | P: 44
GF: 80 | GA: 79 | PP%: 13.11% | PK%: 81.08%
GM : Corey - BoD | Morale : 40 | Team Overall : 77
Next Games #386 vs Detroit Red Wings

Game Center
New York Islanders
19-10-3, 55pts
3
FINAL
1 New York Rangers
14-13-5, 44pts
Team Stats
SOL1StreakW1
9-5-2Home Record8-6-2
10-5-1Away Record6-7-3
7-1-2Last 10 Games5-4-1
2.63Goals Per Game2.50
2.28Goals Against Per Game2.47
17.60%Power Play Percentage13.11%
83.33%Penalty Kill Percentage81.08%
New York Rangers
14-13-5, 44pts
5
FINAL
4 New Jersey Devils
17-11-4, 49pts
Team Stats
W1StreakSOL1
8-6-2Home Record8-6-2
6-7-3Away Record9-5-2
5-4-1Last 10 Games4-5-1
2.50Goals Per Game2.75
2.47Goals Against Per Game2.34
13.11%Power Play Percentage14.17%
81.08%Penalty Kill Percentage89.31%
Detroit Red Wings
15-14-3, 42pts
Day 74
New York Rangers
14-13-5, 44pts
Team Stats
W1StreakW1
8-8-0Home Record8-6-2
7-6-3Away Record6-7-3
7-2-1Last 10 Games5-4-1
2.16Goals Per Game2.50
2.59Goals Against Per Game2.50
16.36%Power Play Percentage13.11%
80.20%Penalty Kill Percentage81.08%
New York Rangers
14-13-5, 44pts
Day 76
Chicago Blackhawks
17-10-5, 51pts
Team Stats
W1StreakSOL1
8-6-2Home Record7-6-3
6-7-3Away Record10-4-2
5-4-1Last 10 Games5-2-3
2.50Goals Per Game2.53
2.47Goals Against Per Game2.53
13.11%Power Play Percentage13.60%
81.08%Penalty Kill Percentage82.22%
Columbus Blue Jackets
21-9-2, 58pts
Day 78
New York Rangers
14-13-5, 44pts
Team Stats
W1StreakW1
13-2-1Home Record8-6-2
8-7-1Away Record6-7-3
6-3-1Last 10 Games5-4-1
2.72Goals Per Game2.50
2.16Goals Against Per Game2.50
16.96%Power Play Percentage13.11%
89.01%Penalty Kill Percentage81.08%
Team Leaders
Clayton KellerGoals
Clayton Keller
13
Dylan StromeAssists
Dylan Strome
15
Clayton KellerPoints
Clayton Keller
27
Nikita ZadorovPlus/Minus
Nikita Zadorov
12
Semyon VarlamovWins
Semyon Varlamov
9
Semyon VarlamovSave Percentage
Semyon Varlamov
0.922

Team Stats
Goals For
80
2.50 GFG
Shots For
990
30.94 Avg
Power Play Percentage
13.1%
16 GF
Offensive Zone Start
41.0%
Goals Against
79
2.47 GAA
Shots Against
915
28.59 Avg
Penalty Kill Percentage
81.1%%
21 GA
Defensive Zone Start
37.2%
Team Info

General ManagerCorey - BoD
DivisionAtlantic Division
ConferenceEastern Conference
CaptainNikita Zadorov
Assistant #1
Assistant #2


Arena Info

NameMadison Square Garden
Capacity18,000
Attendance14,683
Season Tickets7,920


Roster Info

Pro Team23
Farm Team27
Contract Limit50 / 250
Prospects73


Finance

Year to Date Revenue17,713,844$
Year To Date Expenses31,723,391$
Estimated Season Revenue25,463,651$
Estimated Season Expenses46,933,236$
Current Bank Account149,441,896$
Projected Bank Account128,571,244$


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
1Clayton Keller0X99.006535889955979990769090658871720408002547,366,667$
2Mikko Rantanen0X99.007252838185909091749090748375720408002717,100,000$
3Dylan Strome0X99.006150898477899184898790687975790407902724,900,000$
4Tage Thompson0X99.00695580799591928579809168857282040790261900,000$
5Tomas Hertl0X100.008049867880898980938385747679830407803031,670,000$
6Gabriel Vilardi (R)0X100.006454868780909081938584718068690407702414,710,000$
7Filip Chytil (R)0X100.006454858580909083838383728268750407702413,750,000$
8Kevin Hayes0X100.007150857085868379867876747480730407403214,000,000$
9Oliver Wahlstrom (R)0X100.008258667877777970647574747270700407202421,750,000$
10Jimmy Vesey0X100.00794577717384866869707166707980040700312625,000$
11Frank Vatrano0X100.00844476756476757067697668737967040700303500,000$
12Nikita Zadorov (C)0X98.0099609178999999767482688666788304082N02942,000,000$
13Evan Bouchard0X98.006442869580929982509373897673790408202423,825,000$
14Oliver Ekman-Larsson0X100.008848898883959981518173787580850408003213,500,000$
15Sami Niku0X100.006038899975878677568175847775750407802724,900,000$
16Louie Belpedio0X100.006144879973828380509069827377700407702813,000,000$
17Ryan Lindgren0X100.008447798588858772507961806772810407702631,430,000$
Scratches
1Patrik Laine0X93.5590498786809492907190906787728104081026310,000,000$
2Trent Frederic0X100.00856057708279796672737371707273040700263500,000$
3Rem Pitlick0X100.00544477776580896971736969717562040690271800,000$
Farm Team
1Stefan Matteau0X98.00904972659279796558686770667969040690303500,000$
2Lance Bouma0X96.00804779667780816670706862688374040680341600,000$
3Daniel Carr0X97.39624174766476736659686864718066040670321500,000$
4Justin Florek0X99.00614777697976756563716861678376040670341500,000$
5Luke Adam0X99.00664775627678796476686664648376040660341500,000$
6Jonny Brodzinski0X100.00574581637275836479686469638277040660311500,000$
7Philippe Cornet0X99.00624381707572726156666362638278040650341500,000$
8Rocco Grimaldi0X100.00574081814871706158646667677863040650311500,000$
9Ronalds Kenins0X100.00844772647074746259666464648169040650332500,000$
10Joseph Cramarossa0X100.00884567706971706059626464647958040640311500,000$
11Andrew MacWilliam0X96.00864976649176766750726272598384040720341500,000$
12David Warsofsky0X100.00513691915980807250736768728274040700341500,000$
13Radim Simek0X99.00864881687577766750696468607984040700312625,000$
14Ben Hutton0X100.00565572688577816450676067587969040670312625,000$
15Bogdan Kiselevich0X100.00792278677272736550705965587368040670341500,000$
16Uvis Balinskis0X100.00644278727069786150626170587766040670273500,000$
17Ryan Sproul0X100.00534876688771716451676064577976040660312625,000$
18Daniel Catenacci0X100.00561880686873716059636466637166040640312625,000$
19Seth Griffith0X100.00574577705873746161666363637963040640312625,000$
20Joel L'Esperance0X100.00645174637970726267606567637766040640281500,000$
21Mike Vecchione0X100.00534278684865606074576065617962040600312625,000$
22Gustav Olofsson0X81.05544472746169716550706170597866040660294500,000$
23Libor Sulak0X100.00872069727575746050565956576565040640301500,000$
24Brady Keeper0X100.00521584785564635950565969596358040620281500,000$
TEAM AVERAGE98.8670457976758081706473706969767204071
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
1Sergei Bobrovsky096.00848686828484858484848485700408103515,000,000$
2Semyon Varlamov0100.00738085828285868484858487730408003615,000,000$
Scratches
1Logan Thompson0100.00778083848081828282818077650407802721,430,000$
Farm Team
1David Rittich098.00747174857677787874777779620407403111,250,000$
2Zane McIntyre0100.0062727282757980787879767966040740312625,000$
3Andrey Makarov0100.0080585880767374767773747864040720312625,000$
TEAM AVERAGE99.007575768379808180808079816704077
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
1Clayton KellerNew York RangersLW32131427-6603133108366712.04%1063019.72639201160112412050.00%743612000.8615000321
2Patrik LaineNew York RangersRW32111324-10140733490405612.22%1259118.491788114000091035.19%54247000.8124000220
3Dylan StromeNew York RangersC286152166023526218449.68%947516.981343480001331048.42%475177000.8800000210
4Mikko RantanenNew York RangersLW3281321-1180594611625686.90%1158918.4132510880001333034.48%582410000.7104000212
5Tomas HertlNew York RangersC3251116-217563585821378.62%1061519.231346790005841053.97%6171212100.5200001101
6Filip ChytilNew York RangersLW3267135261030299726686.19%849515.490000100003700061.11%182310000.5200100201
7Sami NikuNew York RangersD32013131014019434728240%5073122.850332115000287000%01528000.3600000010
8Evan BouchardNew York RangersD3211011-2251541496225271.61%4376523.92145161300003100000%02026000.2901210000
9Gabriel VilardiNew York RangersC325510-718034545316399.43%1253116.612244821011210154.29%5251012000.3800000110
10Nikita ZadorovNew York RangersD32189122011765339203.03%4676123.81000093000380000%01022000.2400000011
11Louie BelpedioNew York RangersD3217827520293410122.94%2654617.08000154000011000%01118000.2900100000
12Tage ThompsonNew York RangersRW327183200432658144712.07%1554216.95101487000051050.00%26813000.3011000011
13Oliver Ekman-LarssonNew York RangersD32066-410055452816230%3155817.45011030000141000%01112000.2100000000
14Oliver WahlstromNew York RangersRW32516715521928121717.86%62176.790000000000000%457000.5500010000
15Frank VatranoNew York RangersLW32325715516131341323.08%62236.9700002000040050.00%234000.4500010001
16Kevin HayesNew York RangersRW325055221043333682313.89%846714.62000180000492136.00%2549100.2100002021
17Ryan LindgrenNew York RangersD32022-631539423719140%2151416.0700002000139000%0526000.0800001001
18Trent FredericNew York RangersC2002291952517175120%41597.9700000000070053.09%8114000.2500100000
19Rem PitlickNew York RangersC120112758913540%3887.3800000000010043.33%3003000.2300001000
20Jimmy VeseyNew York RangersLW4000020110000%092.32000010000000100.00%10000000000000
Team Total or Average5767713120830294707616879903376157.78%331951516.521628447510661122372011251.01%1990239242200.44415535131210
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
1Semyon VarlamovNew York Rangers219830.9222.1512262244563265110.50062012122
2Sergei BobrovskyNew York Rangers135520.9092.657240032351150000.87581220111
Team Total or Average34141350.9172.341951227691441511143232233


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
Clayton Keller (1 Way Contract)New York RangersLW251998-07-29USANo179 Lbs5 ft10NoNoFree AgentNoNo42024-08-26FalseFalsePro & Farm7,366,667$4,395,580$0$0$No7,366,667$7,366,667$7,366,667$------7,366,667$7,366,667$7,366,667$------NoNoNo------Link / NHL Link
Dylan StromeNew York RangersC271997-03-07CANNo201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm4,900,000$2,923,757$0$0$No4,900,000$--------4,900,000$--------No--------Link / NHL Link
Evan Bouchard (1 Way Contract)New York RangersD241999-10-20CANNo194 Lbs6 ft3NoNoFree AgentNoNo22024-08-26FalseFalsePro & Farm3,825,000$2,282,320$0$0$No3,825,000$--------3,825,000$--------No--------Link / NHL Link
Filip Chytil (1 Way Contract)New York RangersLW241999-09-05CZEYes209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm3,750,000$2,237,569$0$0$No---------------------------Link / NHL Link
Frank VatranoNew York RangersLW301994-03-14USANo201 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$298,343$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Gabriel Vilardi (1 Way Contract)New York RangersC241999-08-16CANYes216 Lbs6 ft3NoNoFree AgentNoNo12024-08-27FalseFalsePro & Farm4,710,000$2,810,387$0$0$No---------------------------Link / NHL Link
Jimmy VeseyNew York RangersLW311993-05-26USANo203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm625,000$372,928$0$0$No625,000$--------625,000$--------No--------Link / NHL Link
Kevin Hayes (1 Way Contract)New York RangersRW321992-05-08USANo216 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm4,000,000$2,386,740$0$0$No---------------------------Link / NHL Link
Logan ThompsonNew York RangersG271997-02-25CANNo205 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,430,000$853,260$0$0$No1,430,000$--------1,430,000$--------No--------Link / NHL Link
Louie Belpedio (1 Way Contract)New York RangersD281996-05-14USANo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,790,055$0$0$No---------------------------
Mikko Rantanen (1 Way Contract)New York RangersLW271996-10-29FINNo216 Lbs6 ft4NoNoTrade2024-05-10NoNo1FalseFalsePro & Farm7,100,000$4,236,464$0$0$No---------------------------Link / NHL Link
Nikita Zadorov (1 Way Contract)New York RangersD291995-04-16RUSNo236 Lbs6 ft6YesNoFree AgentNoNo42024-10-04FalseFalsePro Only2,000,000$1,193,370$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------YesYesYes------Link / NHL Link
Oliver Ekman-Larsson (1 Way Contract)New York RangersD321991-07-17SWENo201 Lbs6 ft2NoNoTrade2024-05-10NoNo1FalseFalsePro & Farm3,500,000$2,088,398$0$0$No---------------------------Link / NHL Link
Oliver WahlstromNew York RangersRW242000-06-13USAYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,750,000$1,044,199$0$0$No1,750,000$--------1,750,000$--------No--------Link / NHL Link
Patrik Laine (1 Way Contract)New York RangersRW261998-04-19FINNo216 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm10,000,000$5,966,851$0$0$No10,000,000$10,000,000$-------10,000,000$10,000,000$-------NoNo-------Link / NHL Link
Rem PitlickNew York RangersC271997-04-02CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$477,348$0$0$No---------------------------Link / NHL Link
Ryan LindgrenNew York RangersD261998-02-11USANo190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,430,000$853,260$0$0$No1,430,000$1,430,000$-------1,430,000$1,430,000$-------NoNo-------Link / NHL Link
Sami Niku (1 Way Contract)New York RangersD271996-10-10FINNo176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm4,900,000$2,923,757$0$0$No4,900,000$--------4,900,000$--------No--------NHL Link
Semyon Varlamov (1 Way Contract)New York RangersG361988-04-27RUSNo209 Lbs6 ft2NoNoFree AgentNoNo12024-09-15FalseFalsePro & Farm5,000,000$2,983,425$0$0$No---------------------------Link / NHL Link
Sergei Bobrovsky (1 Way Contract)New York RangersG351988-09-20RUSNo183 Lbs6 ft2NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm5,000,000$2,983,425$0$0$No---------------------------Link / NHL Link
Tage ThompsonNew York RangersRW261997-10-30USANo220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm900,000$537,017$0$0$No---------------------------Link / NHL Link
Tomas HertlNew York RangersC301993-11-12CZENo214 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,670,000$996,464$0$0$No1,670,000$1,670,000$-------1,670,000$1,670,000$-------NoNo-------Link / NHL Link
Trent FredericNew York RangersC261998-02-11USANo214 Lbs6 ft3NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm500,000$298,343$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2327.96204 Lbs6 ft21.963,419,855$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
78,656,667$40,896,667$23,466,667$9,366,667$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clayton KellerDylan Strome40122
2Mikko RantanenTomas HertlTage Thompson30122
3Filip ChytilGabriel VilardiKevin Hayes20122
4Frank VatranoOliver Wahlstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard40122
2Oliver Ekman-LarssonSami Niku30122
3Ryan LindgrenLouie Belpedio20122
4Nikita ZadorovEvan Bouchard10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clayton KellerDylan Strome60122
2Mikko RantanenTomas HertlTage Thompson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard60122
2Oliver Ekman-LarssonSami Niku40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Clayton Keller60122
2Mikko RantanenTage Thompson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard60122
2Oliver Ekman-LarssonSami Niku40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Nikita ZadorovEvan Bouchard60122
2Clayton Keller40122Oliver Ekman-LarssonSami Niku40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Clayton Keller60122
2Mikko RantanenTage Thompson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovEvan Bouchard60122
2Oliver Ekman-LarssonSami Niku40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Clayton KellerDylan StromeNikita ZadorovEvan Bouchard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Clayton KellerDylan StromeNikita ZadorovEvan Bouchard
Extra Forwards
Normal PowerPlayPenalty Kill
Jimmy Vesey, Filip Chytil, Gabriel VilardiJimmy Vesey, Filip ChytilGabriel Vilardi
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Lindgren, Louie Belpedio, Oliver Ekman-LarssonRyan LindgrenLouie Belpedio, Oliver Ekman-Larsson
Penalty Shots
, Clayton Keller, Mikko Rantanen, Tage Thompson, Dylan Strome
Goalie
#1 : Sergei Bobrovsky, #2 : Semyon Varlamov
Custom OT Lines Forwards
, Clayton Keller, Mikko Rantanen, Tage Thompson, Dylan Strome, Tomas Hertl, Filip Chytil, Gabriel Vilardi, Kevin Hayes, Oliver Wahlstrom
Custom OT Lines Defensemen
Nikita Zadorov, Evan Bouchard, Oliver Ekman-Larsson, Sami Niku, Ryan Lindgren


Filter Tips
PriorityTypeDescription
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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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8*Wildcard for zero or more non-space characters.
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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
1Carolina Hurricanes41200010912-3210000106332020000039-650.4179122100125111731473751193068911417.14%19763.16%140780050.88%38772553.38%22142651.88%925485366734
2Colorado Avalanche1000000112-11000000112-10000000000010.3331120010012910107425221024100.00%5180.00%040780050.88%38772553.38%22142651.88%21102310209
3Columbus Blue Jackets1000010023-1000000000001000010023-110.3332240020002817641391110196116.67%5180.00%040780050.88%38772553.38%22142651.88%2312249168
4Edmonton Oilers11000000541110000005410000000000031.0005914001310311212702815731500.00%10100.00%040780050.88%38772553.38%22142651.88%2313188189
5Florida Panthers2020000026-41010000012-11010000014-300.00023500020054152118045261733700.00%60100.00%040780050.88%38772553.38%22142651.88%432541183517
6Hamilton Mustangs11000000642110000006420000000000031.0006101600114027771303413152311100.00%5180.00%040780050.88%38772553.38%22142651.88%2012218178
7Los Angeles Kings1000000123-1000000000001000000123-110.3332460011002910787319421200.00%20100.00%040780050.88%38772553.38%22142651.88%2212249189
8Minnesota North Stars11000000431000000000001100000043131.0004812001120391319703294203133.33%2150.00%040780050.88%38772553.38%22142651.88%2416197168
9Montreal Canadiens21100000440110000003121010000013-230.50046100013006620232305516144210110.00%7185.71%040780050.88%38772553.38%22142651.88%462840173317
10New Jersey Devils4120001010100211000003302010001077050.4171016260015311173636435126442610418316.67%14285.71%040780050.88%38772553.38%22142651.88%955581356736
11New York Islanders41200100910-12020000025-32100010075240.3339152400423013354354311254126896116.67%13284.62%040780050.88%38772553.38%22142651.88%875390346432
12Philadelphia Flyers11000000312000000000001100000031231.000369001020231058024914284125.00%7185.71%040780050.88%38772553.38%22142651.88%1992210189
13Quebec Nordiques1000010023-11000010023-10000000000010.33323500002037165151225193410220.00%4175.00%040780050.88%38772553.38%22142651.88%2816159189
14Seattle Kraken10000010211000000000001000001021120.66722400001121361142911937300.00%20100.00%040780050.88%38772553.38%22142651.88%2313219199
15St Louis Blues1010000012-11010000012-10000000000000.000123000100308121002611821300.00%4175.00%040780050.88%38772553.38%22142651.88%2214208168
16Tampa Bay Lightning21100000853110000007251010000013-230.500814221060207227252004925204314321.43%5180.00%040780050.88%38772553.38%22142651.88%482936183418
17Toronto Maple Leafs21100000532110000004041010000013-230.5005813011310692826150602521489111.11%8187.50%040780050.88%38772553.38%22142651.88%452740193316
18Vegas Golden Knights211000005321010000013-21100000040430.50051015010410681534190469453600.00%20100.00%040780050.88%38772553.38%22142651.88%442538173618
Total3211130033280791167600111423481647002213845-7440.45880131211122228274990332336308289153312967611221613.11%1112181.08%140780050.88%38772553.38%22142651.88%734431666288553282
_Since Last GM Reset3211130033280791167600111423481647002213845-7440.45880131211122228274990332336308289153312967611221613.11%1112181.08%140780050.88%38772553.38%22142651.88%734431666288553282
_Vs Conference22711002205254-2115400110281991127001102435-11270.409528313511151718268823722322212625221225512921314.13%831680.72%140780050.88%38772553.38%22142651.88%507300454198373191
_Vs Division1649001203843-58340001019154815001101928-9170.3543860981012111324931631641611146416615736059813.56%571278.95%140780050.88%38772553.38%22142651.88%367218336142269139

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3244W18013121199091533129676112
All Games
GPWLOTWOTL SOWSOLGFGA
32111303328079
Home Games
GPWLOTWOTL SOWSOLGFGA
167601114234
Visitor Games
GPWLOTWOTL SOWSOLGFGA
164702213845
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1221613.11%1112181.08%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
332336308282228274
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
40780050.88%38772553.38%22142651.88%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
734431666288553282


Last Played Games
Filter Tips
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)
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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
210New York Rangers4Vegas Golden Knights0WBoxScore
419Colorado Avalanche2New York Rangers1LXXBoxScore
635New York Rangers4Minnesota North Stars3WBoxScore
742Hamilton Mustangs4New York Rangers6WBoxScore
1051New York Rangers3Philadelphia Flyers1WBoxScore
1265Montreal Canadiens1New York Rangers3WBoxScore
1577Toronto Maple Leafs0New York Rangers4WBoxScore
1790New York Rangers1Toronto Maple Leafs3LBoxScore
20107New Jersey Devils2New York Rangers1LBoxScore
22120Carolina Hurricanes1New York Rangers3WBoxScore
24130New York Rangers1Tampa Bay Lightning3LBoxScore
26143New York Rangers6New York Islanders3WBoxScore
28156Florida Panthers2New York Rangers1LBoxScore
30164New York Rangers2New Jersey Devils3LBoxScore
32177New York Rangers1Carolina Hurricanes5LBoxScore
34187Tampa Bay Lightning2New York Rangers7WBoxScore
36203New York Rangers1Montreal Canadiens3LBoxScore
38214Quebec Nordiques3New York Rangers2LXBoxScore
40225Vegas Golden Knights3New York Rangers1LBoxScore
41233St Louis Blues2New York Rangers1LBoxScore
44244New York Rangers2Columbus Blue Jackets3LXBoxScore
47253New York Rangers2Los Angeles Kings3LXXBoxScore
51269Edmonton Oilers4New York Rangers5WBoxScore
54281New York Rangers2Seattle Kraken1WXXBoxScore
57293New York Islanders2New York Rangers1LBoxScore
60309New York Rangers1Florida Panthers4LBoxScore
61314New Jersey Devils1New York Rangers2WBoxScore
65332New York Rangers1New York Islanders2LXBoxScore
67345New York Rangers2Carolina Hurricanes4LBoxScore
69360Carolina Hurricanes2New York Rangers3WXXBoxScore
70365New York Islanders3New York Rangers1LBoxScore
73380New York Rangers5New Jersey Devils4WXXBoxScore
74386Detroit Red Wings-New York Rangers-
76401New York Rangers-Chicago Blackhawks-
78412Columbus Blue Jackets-New York Rangers-
81423New York Rangers-Detroit Red Wings-
83435New York Rangers-St Louis Blues-
86453California Golden Seals-New York Rangers-
87462New York Rangers-California Golden Seals-
89471Florida Panthers-New York Rangers-
92483New York Rangers-Florida Panthers-
97501New York Rangers-Hamilton Mustangs-
99516Chicago Blackhawks-New York Rangers-
101523Minnesota North Stars-New York Rangers-
104535Seattle Kraken-New York Rangers-
106548Los Angeles Kings-New York Rangers-
109563New York Rangers-Edmonton Oilers-
112574New York Rangers-Quebec Nordiques-
114587Boston Bruins-New York Rangers-
115589Pittsburgh Penguins-New York Rangers-
118605Philadelphia Flyers-New York Rangers-
120616New York Rangers-Boston Bruins-
124629New York Rangers-Pittsburgh Penguins-
127647New York Rangers-Colorado Avalanche-
128654New York Rangers-Carolina Hurricanes-
130666Carolina Hurricanes-New York Rangers-
132676Tampa Bay Lightning-New York Rangers-
134685New York Rangers-Tampa Bay Lightning-
137701Montreal Canadiens-New York Rangers-
140714New York Rangers-Boston Bruins-
142723Philadelphia Flyers-New York Rangers-
144736New York Rangers-Toronto Maple Leafs-
146745Pittsburgh Penguins-New York Rangers-
148758New York Rangers-Quebec Nordiques-
152779Quebec Nordiques-New York Rangers-
154792New York Rangers-Pittsburgh Penguins-
156801Toronto Maple Leafs-New York Rangers-
158814New York Rangers-Philadelphia Flyers-
160823Boston Bruins-New York Rangers-
163836New York Rangers-Montreal Canadiens-
165845New Jersey Devils-New York Rangers-
166851New York Rangers-New Jersey Devils-
169866New York Rangers-New York Islanders-
170872New York Islanders-New York Rangers-
173891New York Rangers-Florida Panthers-
174900Florida Panthers-New York Rangers-
179913New York Rangers-Tampa Bay Lightning-
180925Tampa Bay Lightning-New York Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price93523225188
Attendance80,28862,30325,44449,93016,965
Attendance PCT84.48%80.12%80.32%78.80%84.15%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
23 14683 - 81.57% 1,107,115$17,713,844$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
31,723,391$ 78,656,667$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 31,723,391$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
25,463,651$ 108 434,567$ 46,933,236$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
47,849,184$ 149,441,896$ 128,571,244$



Depth Chart

Left WingCenterRight Wing
Clayton KellerAGE:25PO:0OV:80
Mikko RantanenAGE:27PO:0OV:80
Filip Chytil (R)AGE:24PO:0OV:77
Jimmy VeseyAGE:31PO:0OV:70
Frank VatranoAGE:30PO:0OV:70
Daniel CarrAGE:32PO:0OV:67
Justin FlorekAGE:34PO:0OV:67
Rocco GrimaldiAGE:31PO:0OV:65
Daniel CatenacciAGE:31PO:0OV:64
Joel L'EsperanceAGE:28PO:0OV:64
Dylan StromeAGE:27PO:0OV:79
Tomas HertlAGE:30PO:0OV:78
Gabriel Vilardi (R)AGE:24PO:0OV:77
Trent FredericAGE:26PO:0OV:70
Rem PitlickAGE:27PO:0OV:69
Stefan MatteauAGE:30PO:0OV:69
Luke AdamAGE:34PO:0OV:66
Jonny BrodzinskiAGE:31PO:0OV:66
Mike VecchioneAGE:31PO:0OV:60
Patrik LaineAGE:26PO:0OV:81
Tage ThompsonAGE:26PO:0OV:79
Kevin HayesAGE:32PO:0OV:74
Oliver Wahlstrom (R)AGE:24PO:0OV:72
Lance BoumaAGE:34PO:0OV:68
Philippe CornetAGE:34PO:0OV:65
Ronalds KeninsAGE:33PO:0OV:65
Joseph CramarossaAGE:31PO:0OV:64
Seth GriffithAGE:31PO:0OV:64

Defense #1Defense #2Goalie
Nikita ZadorovAGE:29PO:0OV:82
Evan BouchardAGE:24PO:0OV:82
Oliver Ekman-LarssonAGE:32PO:0OV:80
Sami NikuAGE:27PO:0OV:78
Louie BelpedioAGE:28PO:0OV:77
Ryan LindgrenAGE:26PO:0OV:77
Andrew MacWilliamAGE:34PO:0OV:72
David WarsofskyAGE:34PO:0OV:70
Radim SimekAGE:31PO:0OV:70
Ben HuttonAGE:31PO:0OV:67
Bogdan KiselevichAGE:34PO:0OV:67
Uvis BalinskisAGE:27PO:0OV:67
Gustav OlofssonAGE:29PO:0OV:66
Ryan SproulAGE:31PO:0OV:66
Libor SulakAGE:30PO:0OV:64
Brady KeeperAGE:28PO:0OV:62
Sergei BobrovskyAGE:35PO:0OV:81
Semyon VarlamovAGE:36PO:0OV:80
Logan ThompsonAGE:27PO:0OV:78
David RittichAGE:31PO:0OV:74
Zane McIntyreAGE:31PO:0OV:74
Andrey MakarovAGE:31PO:0OV:72

Prospects

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PriorityTypeDescription
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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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")
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
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ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsNew York Rangers00
0x RFA Tag (Clayton Keller Y28)New York Rangers00
20x POS Changes NSHL24New York Rangers00
37x TC PTSNew York Rangers00
Adam KleberNew York Rangers2471Link
Alexander RykovNew York Rangers23139Link
Alexander SuzdalevNew York Rangers22117Link
Alexis LafreniereNew York Rangers201
Anton WahlbergNew York Rangers2351Link
Arttu KarkiNew York Rangers2377Link
Artyum DudaNew York Rangers2298Link
Beckett HendricksonNew York Rangers23137Link
Bogdan KonyushkovNew York Rangers23141Link
Brad GardinerNew York Rangers23111Link
Bradly NadeauNew York Rangers2330Link
Brett PollockNew York Rangers1476
Caden PriceNew York Rangers23114Link
Calum RitchieNew York Rangers2327Link
Carson BjarnasonNew York Rangers2352Link
Carson RehkopfNew York Rangers2383Link
Carter GeorgeNew York Rangers2446Link
Coulson PitreNew York Rangers2397Link
Danila KlimovichNew York Rangers2138Link
Dmitri BuchelnikovNew York Rangers2250Link
Dmitry KuzminNew York Rangers21101Link
Easton CowanNew York Rangers2342Link
Evan FitzpatrickNew York Rangers1681
Felix Unger-SorumNew York Rangers2373Link
Gabriel EliassonNew York Rangers2490Link
Gabriel FortierNew York Rangers1868Link
Hagen BurrowsNew York Rangers24168Link
Ilya NabokovNew York Rangers2435Link
Jack BerglundNew York Rangers2495Link
Jakub DvorakNew York Rangers23125Link
Jalen LuypenNew York Rangers22120Link
Jorian DonovanNew York Rangers22121Link
Juha JatkolaNew York Rangers23112Link
Kaapo KakkoNew York Rangers192
Kalan LindNew York Rangers2392Link
Lenni HameenahoNew York Rangers2368Link
Leo Sahlin-WalleniusNew York Rangers2459Link
Liam FoudyNew York Rangers1836
Linus ErikssonNew York Rangers2455Link
Logan MaillouxNew York Rangers2199Link
Logan SawyerNew York Rangers24127Link
Matthew RobertsonNew York Rangers19112
Matthew WoodNew York Rangers2313Link
Matvei MichkovNew York Rangers233Link
Melvin FernstromNew York Rangers24144Link
Michael HrabelNew York Rangers2339Link
Nate DanielsonNew York Rangers2312Link
Nico MyatovicNew York Rangers2348Link
Oliver BonkNew York Rangers2334Link
Oskar BackNew York Rangers18119
Quentin MustyNew York Rangers2328Link
Rasmus KumpulainenNew York Rangers2371Link
Sasha PastujovNew York Rangers2130Link
Scott RatzlaffNew York Rangers23115Link
Sean BehrensNew York Rangers2162Link
Shane WrightNew York Rangers221Link
Spencer GillNew York Rangers2499Link
Tobias BjornfotNew York Rangers1930
Tom WillanderNew York Rangers2320Link
Trey AugustineNew York Rangers2340Link
Tristan BertucciNew York Rangers23113Link
Ty DellandreaNew York Rangers1830
Viggo GustafssonNew York Rangers24123Link
Vilmer AlrikssonNew York Rangers23119Link
Will SkahanNew York Rangers24103Link
William ZellersNew York Rangers24119Link
Y25-MTL-6New York Rangers00
Yegor ZavraginNew York Rangers23101Link
Zachary DeanNew York Rangers2128Link

Draft Picks

Year R1R2R3R4R5R6R7
25
26
27
28
29
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

[2025-03-07 2:29:14 PM] Conner Bleackley has been deleted from New York Rangers.
[2025-03-07 2:29:11 PM] Chris Calnan has been deleted from New York Rangers.
[2025-03-07 2:29:05 PM] Sebastian Collberg has been deleted from New York Rangers.
[2025-03-07 2:28:45 PM] Linus Eriksson has been deleted from New York Rangers.
[2025-03-04 10:32:10 AM] TRADE : From Seattle Kraken to New York Rangers : $1,215,514 (Money).



Gustav Olofsson is out for 2 weeks because of a Bruised Right Foot Injury.
Patrik Laine is out for 2 days because of a Exhaustion.



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