Login

New York Rangers
GP: 75 | W: 45 | L: 24 | OTL: 6 | P: 96
GF: 220 | GA: 200 | PP%: 19.77% | PK%: 77.64%
GM : Ramon Heinzer | Morale : 99 | Team Overall : 72
Next Games #1209 vs New Jersey Devils
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
New York Rangers
45-24-6, 96pts
3
FINAL
1 San Jose Sharks
39-23-13, 91pts
Team Stats
W3StreakW3
25-10-3Home Record20-13-5
20-14-3Away Record19-10-8
6-2-2Last 10 Games6-3-1
2.93Goals Per Game3.07
2.67Goals Against Per Game2.93
19.77%Power Play Percentage19.67%
77.64%Penalty Kill Percentage75.32%
Minnesota Wild
31-36-10, 72pts
2
FINAL
4 New York Rangers
45-24-6, 96pts
Team Stats
OTW1StreakW3
19-17-2Home Record25-10-3
12-19-8Away Record20-14-3
6-3-1Last 10 Games6-2-2
2.65Goals Per Game2.93
3.17Goals Against Per Game2.67
19.60%Power Play Percentage19.77%
78.04%Penalty Kill Percentage77.64%
New York Rangers
45-24-6, 96pts
Day 184
New Jersey Devils
49-20-7, 105pts
Team Stats
W3StreakL1
25-10-3Home Record25-9-2
20-14-3Away Record24-11-5
6-2-2Last 10 Games7-2-1
2.93Goals Per Game3.41
2.67Goals Against Per Game3.41
19.77%Power Play Percentage23.05%
77.64%Penalty Kill Percentage75.29%
Tampa Bay Lightning
30-33-12, 72pts
Day 186
New York Rangers
45-24-6, 96pts
Team Stats
W1StreakW3
14-16-7Home Record25-10-3
16-17-5Away Record20-14-3
7-1-2Last 10 Games6-2-2
3.04Goals Per Game2.93
3.29Goals Against Per Game2.93
24.66%Power Play Percentage19.77%
71.37%Penalty Kill Percentage77.64%
Philadelphia Flyers
43-25-8, 94pts
Day 188
New York Rangers
45-24-6, 96pts
Team Stats
W1StreakW3
21-14-4Home Record25-10-3
22-11-4Away Record20-14-3
4-6-0Last 10 Games6-2-2
2.93Goals Per Game2.93
2.76Goals Against Per Game2.93
24.17%Power Play Percentage19.77%
74.73%Penalty Kill Percentage77.64%
Team Leaders
William NylanderGoals
William Nylander
35
Mitch MarnerAssists
Mitch Marner
37
William NylanderPoints
William Nylander
71
Tommy NovakPlus/Minus
Tommy Novak
17
Petr MrazekWins
Petr Mrazek
29
Petr MrazekSave Percentage
Petr Mrazek
0.915

Team Stats
Goals For
220
2.93 GFG
Shots For
2253
30.04 Avg
Power Play Percentage
19.8%
51 GF
Offensive Zone Start
37.1%
Goals Against
200
2.67 GAA
Shots Against
2299
30.65 Avg
Penalty Kill Percentage
77.6%%
53 GA
Defensive Zone Start
38.4%
Team Info

General Manager Ramon Heinzer
CoachDave Hakstol
DivisionMetropolitan
ConferenceEastern Conference
CaptainRyan Johansen
Assistant #1Mitch Marner
Assistant #2


Arena Info

NameMadison Square Garden
Capacity18,006
Attendance15,816
Season Tickets9,003


Roster Info

Pro Team23
Farm Team40
Contract Limit63 / 65
Prospects23


Salary Cap

Estimated Season Salary Cap86,772,667$
Available Salary Cap1,227,333$
Special Salary Cap Value0$
Players In Salary Cap23


Finance

Year to Date Revenue63,975,074$
Year To Date Expenses77,006,847$
Estimated Season Revenue5,050,664$
Estimated Season Expenses5,924,744$
Current Bank Account80,639,508$
Projected Bank Account79,765,428$


Team History

This Season45-24-6 (96PTS)
History167-119-29 (0.530%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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
1William Nylander0XX100.0063429089738399934690927135727508379228311,500,000$
2Elias Lindholm0XX100.007754898571819586987972823980810837623014,850,000$
3Blake Coleman0XXX100.008159738574759772427587824573770857503314,900,000$
4Lars Eller0XX100.006943887976729975896571876285900837313512,000,000$
5Jordan Eberle0X100.006351928068769783407773676585890837313422,500,000$
6Jeff Carter0XX100.007745947780639378825668796195990837124012,000,000$
7Tommy Novak0X100.00817596777567787880797669755858083710272800,000$
8Nino Niederreiter0XX100.008045868179689580426674684181860837113224,000,000$
9Ryan Johansen (C)0XX100.0075448479806576789263726863818407970N23236,400,000$
10Cal Clutterbuck0X100.009847887776618365366259834588920836903711,600,000$
11Jacob Trouba0X100.009377718079829365256248932578800827623128,000,000$
12Matt Roy0X100.008445848074819963255948917568690837413023,150,000$
13Ryan Suter0X100.00754489807676996325534781259699084732401750,000$
14Nick Jensen0X100.007143957472789563255247922571730837213413,500,000$
15Luke Schenn0X100.009795807285668463254947802584870837113511,500,000$
16Timothy Liljegren0X100.008244907968787973256748772562630827002523,000,000$
17Trevor van Riemsdyk57X100.0061419180727690632554478425727308370X0331950,000$
Scratches
1Mitch Marner (A)0XX96.0075439290678792885293928175747708281227210,903,000$
2Zach Parise0XX100.006942918069637367406370767292980656924012,000,000$
3Pat Maroon0XX100.008599687489639471456966662579870466803611,250,000$
Farm Team
1Dominic Toninato0XX100.00824587767256706473725866256465088630312775,000$
2Ryan Reaves0X100.00999972738451786325545864258085084630381750,000$
3Raphael Lavoie0XX100.00747573687578826480576864654444087620243775,000$
4Michael Mersch0X100.00817888637874786150595967564444089610321750,000$
5Steven Fogarty0XX100.00797978657978836075546266594646087610312762,500$
6Fredrik Karlstrom0X100.00797394617374786176576066574444087600273775,000$
7Matthew Peca0XX100.00716488666461616680656165585353087600312750,000$
8Cedric Pare0X100.00788074668067696176595865554444087600261750,000$
9Kyle Clifford0X100.00657835647864666250575767547781083600341750,000$
10Semyon Der-Arguchintsev (R)0X100.00675790685766676379645960564444087590241850,000$
11Jackson Cates0X100.00777092637077825771515864554444085590272750,000$
12Nikita Nesterenko (R)0XX100.00757283667270735873535863554444087580233750,000$
13Cameron Wright0XX100.00747181667161625850496263594444089570262750,000$
14Jacob Gaucher (R)0X100.00767089617062655265475362504444087550242750,000$
15Calle Rosen0X100.00766992706973785525514067386162088620313775,000$
16Jakub Galvas (R)0X100.00696188646174805325504159394444083570251750,000$
17Joseph Cecconi0X100.00757671657665704625383960374444084560271750,000$
18Joseph Duszak0X100.006866726066656758255249604744440865602711,250,000$
19Blake Hillman0X100.00766896656858614725374161394444087550291750,000$
20Mason Millman0X100.00716683616650515025463959374444021530231750,000$
21Carson Golder (R)0X100.007871946471505054505746644444440195402211,300,000$
22Keaton Mastrodonato0X100.00787487677452535063385863554444020530242750,000$
23Tag Bertuzzi (R)0X100.00767186637148494759454461424444020510243750,000$
24Jeremy Bracco0XX100.00505050505050505050505050505050020480283750,000$
25Egor Korshkov0XX100.00505050505050505050505050505050019480281750,000$
26Jacob de La Rose0XX100.00505050505050505050505050505050020480293750,000$
27Nick Pastujov0XX100.00505050505050505050505050505050020480273750,000$
28Matthew Kessel0X79.38797690677670726225514878394747065630242883,750$
29Kim Nousiainen0X100.00686185656158624625383957374444026530242750,000$
30Dmitry Kuzmin (R)0X100.00706289646250524625364158394444020520213950,000$
31Kyle Masters (R)0X100.00736689606650524625373959374444020520213850,000$
32Tyson Feist (R)0X100.00676963636955574725394056384444019520241950,000$
33Andreas Borgman0X100.00505050505050505050505050505050020480293750,000$
34Andrew Nielsen0X100.00505050505050505050505050505050020480283750,000$
35Carl Dahlstrom0X100.00505050505050505050505050505050020480303750,000$
36Teemu Kivihalme0X100.00505050505050505050505050505050020480293750,000$
TEAM AVERAGE99.5572627968696573614956566747596106561
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
1Petr Mrazek0100.00787776727878698077789568700837403313,800,000$
2Anthony Stolarz099.00765454978171757581766856560777203132,500,000$
Scratches
1Joseph Woll0100.0066565577676675677767754748078650262766,667$
Farm Team
1Ilya Samsonov0100.0063717082656069636563686162087652281750,000$
2Scott Wedgewood0100.00635758716758696265625961620876203211,000,000$
3Brandon Halverson0100.0059475975646658646866304444036600291750,000$
4Adam Scheel0100.00594759786466586468663044440376002511,017,500$
TEAM AVERAGE99.866658627969666868726861545506965
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Hakstol72747775847570USA552750,000$


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 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
1William NylanderNew York RangersLW/RW75353671420079832357615414.89%23131617.55121325302240111339435.87%926518011.0813000754
2Mitch MarnerNew York RangersC/RW732837652100102104287831789.76%28161522.13610164522002261278236.41%2177235000.8028000647
3Elias LindholmNew York RangersC/RW761837554291595128226801077.96%22138118.18411151517711281192260.07%14454519000.8025021252
4Nino NiederreiterNew York RangersLW/RW751927461324012865138619713.77%28119715.975121717172000001526.53%492612000.7700000246
5Jeff CarterNew York RangersC/RW751825438191588136152447611.84%33127717.037512151812025383052.74%10942014000.6714102041
6Blake ColemanNew York RangersC/LW/RW75152136055512782128428011.72%45134717.974101414170000121183239.78%933229000.5304100213
7Tommy NovakNew York RangersC631023331775707812942777.75%2382613.1200001000021053.82%5502110000.8022001221
8Jordan EberleNew York RangersRW751615310235637218154888.84%25104313.9200021000001031.58%383916000.5925010132
9Ryan JohansenNew York RangersC/RW68101525-8135725611336898.85%1572110.62325539000000263.08%3903012000.6912100310
10Jacob TroubaNew York RangersD727152211128309912869223810.14%104165322.97639142060001151000%11561000.2701033120
11Lars EllerNew York RangersC/LW7610122202406710315457936.49%34118515.6001101000071923056.31%5863221000.3711000103
12Nick JensenNew York RangersD7531720-360651145924255.08%81163321.7826841550000225000%0951000.2400000111
13Zach PariseNew York RangersLW/RW5510717-6100424672203513.89%2170612.851232310000453221.05%191214000.4804000111
14Matt RoyNew York RangersD75016161146101011036329280%82161021.4702251370110135000%01249000.2047002010
15Ryan SuterNew York RangersD7621315-1341571906729232.99%47140018.432576124000326000%01052000.2100001010
16Cal ClutterbuckNew York RangersRW676612340676053233811.32%1979911.9310118000101900032.26%31915100.3000000001
17Luke SchennNew York RangersD731111212942083814912192.04%54126317.310110112000065000%1339000.1900202000
18Trevor van RiemsdykNew York RangersD75011111714036924430150%56128917.200111300111135000%0833000.1700000001
19Pat MaroonNew York RangersLW/RW314372583034144411229.09%72738.8200001000001033.33%981000.5100501010
20Timothy LiljegrenNew York RangersD542241601314123216.67%52184.0600003000016100%006000.3700000001
21Dominic ToninatoHartford Wolf Pack (NYR)C/LW3000000000000%031.020000000001000%00000000000000
Team Total or Average13872143495637563114515021649227577812849.41%7522276616.4153841371762009369541628361954.34%4615468507110.49164610613293634
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
1Petr MrazekNew York Rangers52291650.9152.602974021291514738420.833184825651
2Anthony StolarzNew York Rangers2717600.9282.2414714055767436100.760252539631
3Ilya SamsonovHartford Wolf Pack (NYR)62210.8783.40318001814781000.6005513000
4Joseph WollNew York Rangers31200.8534.15159001175420000310100
Team Total or Average88492660.9152.6049244221325031297524881871382


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 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
Anthony StolarzNew York RangersG311994-01-20USANo240 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro Only2,500,000$2,500,000$177,665$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Link / NHL Link
Blake ColemanNew York RangersC/LW/RW331991-11-27USANo207 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only4,900,000$4,900,000$348,223$No---------------------------Link / NHL Link
Cal ClutterbuckNew York RangersRW371987-11-17CANNo216 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only1,600,000$1,600,000$113,706$No---------------------------Link / NHL Link
Elias LindholmNew York RangersC/RW301994-12-02SWENo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only4,850,000$4,850,000$344,670$No---------------------------Link / NHL Link
Jacob TroubaNew York RangersD311994-02-26USANo209 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro Only8,000,000$8,000,000$568,528$No8,000,000$--------8,000,000$--------No--------Link / NHL Link
Jeff CarterNew York RangersC/RW401985-01-01CANNo218 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro Only2,000,000$2,000,000$142,132$No---------------------------Link / NHL Link
Jordan EberleNew York RangersRW341990-05-15CANNo187 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro Only2,500,000$2,500,000$177,665$No2,500,000$--------2,500,000$--------No--------Link / NHL Link
Joseph WollNew York RangersG261998-07-12USANo198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm766,667$766,667$54,484$No766,667$--------766,667$--------No--------Link / NHL Link
Lars EllerNew York RangersC/LW351989-05-08DENNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro Only2,000,000$2,000,000$142,132$No---------------------------Link / NHL Link
Luke SchennNew York RangersD351989-11-01CANNo227 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro Only1,500,000$1,500,000$106,599$No---------------------------Link / NHL Link
Matt RoyNew York RangersD301995-03-01USANo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro Only3,150,000$3,150,000$223,858$No3,150,000$--------3,150,000$--------No--------Link / NHL Link
Mitch MarnerNew York RangersC/RW271997-05-05CANNo175 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro Only10,903,000$10,903,000$774,832$No10,903,000$--------10,903,000$--------No--------Link / NHL Link
Nick JensenNew York RangersD341990-09-20USANo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only3,500,000$3,500,000$248,731$No---------------------------Link / NHL Link
Nino NiederreiterNew York RangersLW/RW321992-09-08SUINo218 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only4,000,000$4,000,000$284,264$No4,000,000$--------450,000$--------No--------Link / NHL Link
Pat MaroonNew York RangersLW/RW361988-04-23USANo238 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only1,250,000$1,250,000$88,832$No---------------------------Link / NHL Link
Petr MrazekNew York RangersG331992-02-14CZENo189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only3,800,000$3,800,000$270,051$No---------------------------Link / NHL Link
Ryan JohansenNew York RangersC/RW321992-07-31CANNo218 Lbs6 ft3YesNoN/ANoNo3FalseFalsePro Only6,400,000$6,400,000$454,822$No6,400,000$6,400,000$-------6,400,000$6,400,000$-------YesYes-------Link / NHL Link
Ryan SuterNew York RangersD401985-01-21USANo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro Only750,000$750,000$53,299$No---------------------------Link / NHL Link
Timothy LiljegrenNew York RangersD251999-04-30SWENo189 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro Only3,000,000$3,000,000$213,198$No3,000,000$--------3,000,000$--------No--------Link / NHL Link
Tommy NovakNew York RangersC271997-04-28USANo209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro Only800,000$800,000$56,853$No800,000$--------450,000$--------No--------Link / NHL Link
Trevor van RiemsdykNew York RangersD331991-07-24USANo191 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro Only950,000$950,000$67,513$No---------------------------Link / NHL Link
William NylanderNew York RangersLW/RW281996-05-01CANNo202 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro Only11,500,000$11,500,000$817,259$No11,500,000$11,500,000$-------11,500,000$11,500,000$-------NoNo-------Link / NHL Link
Zach PariseNew York RangersLW/RW401984-07-28USANo194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only2,000,000$2,000,000$142,132$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2332.57205 Lbs6 ft11.613,592,159$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
82,619,667$53,519,667$20,400,000$0$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Blake ColemanElias Lindholm30122
2Lars EllerJeff CarterWilliam Nylander28122
3Nino NiederreiterTommy NovakJordan Eberle27122
4Ryan JohansenCal Clutterbuck15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob TroubaMatt Roy36122
2Ryan SuterNick Jensen34122
3Trevor van RiemsdykLuke Schenn30122
4Ryan SuterMatt Roy0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1William NylanderElias Lindholm60104
2Nino NiederreiterJeff CarterBlake Coleman40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterMatt Roy60104
2Luke SchennNick Jensen40104
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lars EllerCal Clutterbuck60140
2Elias LindholmBlake Coleman40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterNick Jensen60140
2Trevor van RiemsdykMatt Roy40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Lars Eller60122Nick JensenRyan Suter60122
2Elias Lindholm40122Trevor van RiemsdykLuke Schenn40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Elias LindholmBlake Coleman50122
2Jeff CarterWilliam Nylander50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke SchennMatt Roy50122
2Ryan SuterNick Jensen50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
William NylanderElias LindholmNick JensenJacob Trouba
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan JohansenJeff CarterNick JensenJacob Trouba
Extra Forwards
Normal PowerPlayPenalty Kill
Elias Lindholm, Jeff Carter, William NylanderElias Lindholm, Jeff CarterElias Lindholm
Extra Defensemen
Normal PowerPlayPenalty Kill
Trevor van Riemsdyk, Ryan Suter, Nick JensenNick JensenLuke Schenn, Nick Jensen
Penalty Shots
Elias Lindholm, Blake Coleman, William Nylander, Jordan Eberle, Jeff Carter
Goalie
#1 : Anthony Stolarz, #2 : Petr Mrazek


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 Ducks220000001037110000005141100000052341.000101323003340651724240552912324250.00%6183.33%1854159653.51%897165454.23%580105455.03%412542173516
2Boston Bruins3020001059-42020000038-51000001021120.3335510000133782029288692231561000.00%13469.23%0854159653.51%897165454.23%580105455.03%633460306130
3Buffalo Sabres30300000313-101010000013-220200000210-800.0003580021008221293201073345588112.50%10550.00%0854159653.51%897165454.23%580105455.03%603267275226
4Calgary Flames21100000440110000003121010000013-220.50044810211054231021062238369111.11%4175.00%0854159653.51%897165454.23%580105455.03%422240183720
5Carolina Hurricanes320000101046220000007251000001032161.000101828003334942935306982820548112.50%9277.78%0854159653.51%897165454.23%580105455.03%623568295426
6Chicago Blackhawks2020000028-61010000015-41010000013-200.00023510020058182614066191440400.00%7271.43%0854159653.51%897165454.23%580105455.03%402144173417
7Colorado Avalanche211000004401010000012-11100000032120.5004711001210662416260562022344125.00%11190.91%0854159653.51%897165454.23%580105455.03%432540193616
8Columbus Blue Jackets42100100990220000006332010010036-350.62591524001260124392758013632288113215.38%14471.43%0854159653.51%897165454.23%580105455.03%854879377437
9Dallas Stars21000010422110000002111000001021141.000448000211641923223532516379222.22%80100.00%0854159653.51%897165454.23%580105455.03%442542213717
10Detroit Red Wings31100001610-4110000003122010000139-630.50061117000421963038274842527451119.09%11463.64%1854159653.51%897165454.23%580105455.03%643566285327
11Edmonton Oilers21000010936100000102111100000072541.0009142300062168322793721621455120.00%30100.00%0854159653.51%897165454.23%580105455.03%442541183919
12Florida Panthers2110000034-1110000002111010000013-220.500358000210561321220612015347114.29%40100.00%0854159653.51%897165454.23%580105455.03%392246173417
13Los Angeles Kings21000001550110000002111000000134-130.7505813001310611423227712712442150.00%6266.67%0854159653.51%897165454.23%580105455.03%402044194020
14Minnesota Wild21100000550110000004221010000013-220.5005813003200542015190722417388112.50%6183.33%0854159653.51%897165454.23%580105455.03%412242193518
15Montreal Canadiens30300000715-81010000023-120200000512-700.00071219002140772021360954519537114.29%7357.14%0854159653.51%897165454.23%580105455.03%613566255226
16Nashville Predators220000001055110000005321100000052341.00010152500046060231522055176398112.50%30100.00%0854159653.51%897165454.23%580105455.03%442639183518
17New Jersey Devils330000001147220000008351100000031261.0001118290055108329282608420707213646.15%20195.00%0854159653.51%897165454.23%580105455.03%623362315525
18New York Islanders321000006602110000046-21100000020240.66768140115007014312508125354518211.11%15286.67%0854159653.51%897165454.23%580105455.03%602962305628
19Ottawa Senators3110010089-12010010038-51100000051430.50081523001430962323500994333569333.33%14471.43%0854159653.51%897165454.23%580105455.03%643764265124
20Philadelphia Flyers220000001174110000007521100000042241.000112132003350651526240601715458450.00%5260.00%0854159653.51%897165454.23%580105455.03%442439163519
21Pittsburgh Penguins4310000015872200000011472110000044060.750152843004560122413150010338249211545.45%13192.31%0854159653.51%897165454.23%580105455.03%854881357235
22San Jose Sharks21001000743100010004311100000031241.00071118000331631914282731710348112.50%50100.00%0854159653.51%897165454.23%580105455.03%402144203718
23Seattle Kraken21001000743110000004221000100032141.00071320002221682026211782117389111.11%6183.33%1854159653.51%897165454.23%580105455.03%442643183417
24St.Louis Blues2100000111741000000134-11100000083530.75011203100227051621243522120377228.57%5260.00%0854159653.51%897165454.23%580105455.03%422143183921
25Tampa Bay Lightning10000010431000000000001000001043121.00046100002123310139737154203133.33%2150.00%0854159653.51%897165454.23%580105455.03%22122291910
26Toronto Maple Leafs310010101284200010108621100000042261.0001215270035229525392947722126514535.71%6183.33%0854159653.51%897165454.23%580105455.03%714156295930
27Utah Hockey Club2020000068-21010000023-11010000045-100.0006111700222064191926060219337114.29%20100.00%0854159653.51%897165454.23%580105455.03%442539183618
28Vancouver Canucks210001004221000010012-11100000030330.750461001103070232225061199272150.00%2150.00%0854159653.51%897165454.23%580105455.03%432537163820
29Vegas Golden Knights2110000058-3110000004221010000016-520.500571200131061112426065171941900.00%7185.71%0854159653.51%897165454.23%580105455.03%412341193617
30Washington Capitals30200010613-71010000016-52010001057-220.3336814000141832521338932631611616.25%7442.86%0854159653.51%897165454.23%580105455.03%633260296131
31Winnipeg Jets210000101165100000104311100000073441.000111627003252722619254642117467114.29%6266.67%0854159653.51%897165454.23%580105455.03%442442183819
Total7534240338322020020382010022311139518371414011521071052960.6402203505702246838019225366873683360229974863814382585119.77%2375377.64%3854159653.51%897165454.23%580105455.03%159788815757061388695
_Since Last GM Reset7534240338322020020382010022311139518371414011521071052960.6402203505702246838019225366873683360229974863814382585119.77%2375377.64%3854159653.51%897165454.23%580105455.03%159788815757061388695
_Vs Conference43181601251116122-62212701110665972169001415063-13510.593116190306012544411312543544124793712844114098371563421.79%1503874.67%1854159653.51%897165454.23%580105455.03%912504905406795397
_Vs Division2214500120685117121020000044291510430012024222330.7506811618401172425564119219924614655186223450872124.14%831680.72%0854159653.51%897165454.23%580105455.03%464252455211410204

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7596W322035057022532299748638143822
All Games
GPWLOTWOTL SOWSOLGFGA
7534243383220200
Home Games
GPWLOTWOTL SOWSOLGFGA
382010223111395
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3714141152107105
Last 10 Games
WLOTWOTL SOWSOL
420121
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2585119.77%2375377.64%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6687368336046838019
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
854159653.51%897165454.23%580105455.03%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
159788815757061388695


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
67New York Rangers3Pittsburgh Penguins1WBoxScore
930Utah Hockey Club3New York Rangers2LBoxScore
1145Detroit Red Wings1New York Rangers3WBoxScore
1463New York Rangers1Detroit Red Wings6LBoxScore
1679New York Rangers4Toronto Maple Leafs2WBoxScore
1996New York Rangers4Montreal Canadiens7LBoxScore
21113Florida Panthers1New York Rangers2WBoxScore
23128Anaheim Ducks1New York Rangers5WBoxScore
26151New York Rangers4Washington Capitals3WXXBoxScore
29170Ottawa Senators3New York Rangers2LXBoxScore
31185New York Islanders5New York Rangers2LR3BoxScore
35213Buffalo Sabres3New York Rangers1LBoxScore
37228New York Rangers2Detroit Red Wings3LXXBoxScore
40247Winnipeg Jets3New York Rangers4WXXBoxScore
42261San Jose Sharks3New York Rangers4WXBoxScore
45287New York Rangers3Seattle Kraken2WXBoxScore
47300New York Rangers3Vancouver Canucks0WBoxScore
49314New York Rangers1Calgary Flames3LBoxScore
51332New York Rangers7Edmonton Oilers2WBoxScore
53337St.Louis Blues4New York Rangers3LXXBoxScore
55349New York Rangers3Carolina Hurricanes2WXXBoxScore
57362New York Rangers4Philadelphia Flyers2WBoxScore
58376Montreal Canadiens3New York Rangers2LBoxScore
60393New Jersey Devils2New York Rangers6WBoxScore
64421Pittsburgh Penguins2New York Rangers5WBoxScore
66436Seattle Kraken2New York Rangers4WBoxScore
67444Chicago Blackhawks5New York Rangers1LBoxScore
69457New York Rangers1Buffalo Sabres3LBoxScore
72475Los Angeles Kings1New York Rangers2WBoxScore
73492New York Rangers8St.Louis Blues3WBoxScore
75502New York Rangers5Nashville Predators2WBoxScore
78525New York Rangers2Dallas Stars1WXXBoxScore
80539Carolina Hurricanes1New York Rangers3WBoxScore
81545New York Rangers3New Jersey Devils1WBoxScore
86572New York Rangers4Tampa Bay Lightning3WXXBoxScore
88586New York Rangers1Florida Panthers3LBoxScore
91604Boston Bruins5New York Rangers1LBoxScore
93620New York Rangers1Washington Capitals4LBoxScore
94632New York Rangers1Chicago Blackhawks3LBoxScore
96643Dallas Stars1New York Rangers2WBoxScore
98656New Jersey Devils1New York Rangers2WBoxScore
100682New York Rangers1Vegas Golden Knights6LBoxScore
103703New York Rangers3Colorado Avalanche2WBoxScore
105717New York Rangers4Utah Hockey Club5LBoxScore
107728Columbus Blue Jackets1New York Rangers3WBoxScore
108738New York Rangers1Montreal Canadiens5LBoxScore
110750Ottawa Senators5New York Rangers1LBoxScore
112763Philadelphia Flyers5New York Rangers7WBoxScore
115789Colorado Avalanche2New York Rangers1LBoxScore
117802Carolina Hurricanes1New York Rangers4WBoxScore
121827New York Rangers2Boston Bruins1WXXBoxScore
122839Vegas Golden Knights2New York Rangers4WBoxScore
125859Boston Bruins3New York Rangers2LBoxScore
127871Pittsburgh Penguins2New York Rangers6WBoxScore
128882New York Rangers1Columbus Blue Jackets2LXBoxScore
142895New York Rangers1Buffalo Sabres7LBoxScore
143907New York Rangers1Pittsburgh Penguins3LBoxScore
145925New York Rangers2New York Islanders0WR3BoxScore
148945Toronto Maple Leafs5New York Rangers6WXBoxScore
150965Nashville Predators3New York Rangers5WBoxScore
151970New York Islanders1New York Rangers2WR3BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
153983Washington Capitals6New York Rangers1LBoxScore
1561003New York Rangers5Ottawa Senators1WBoxScore
1571017Columbus Blue Jackets2New York Rangers3WBoxScore
1591031New York Rangers7Winnipeg Jets3WBoxScore
1611046New York Rangers1Minnesota Wild3LBoxScore
1631062New York Rangers2Columbus Blue Jackets4LBoxScore
1641069Edmonton Oilers1New York Rangers2WXXBoxScore
1661079Calgary Flames1New York Rangers3WBoxScore
1681091Toronto Maple Leafs1New York Rangers2WXXBoxScore
1701104Vancouver Canucks2New York Rangers1LXBoxScore
1731138New York Rangers3Los Angeles Kings4LXXBoxScore
1761158New York Rangers5Anaheim Ducks2WBoxScore
1771168New York Rangers3San Jose Sharks1WBoxScore
1811192Minnesota Wild2New York Rangers4WBoxScore
1841209New York Rangers-New Jersey Devils-
1861230Tampa Bay Lightning-New York Rangers-
1881246Philadelphia Flyers-New York Rangers-
1891254New York Rangers-New York Islanders-
1911266New York Rangers-Carolina Hurricanes-
1931287New York Rangers-Florida Panthers-
1961310Tampa Bay Lightning-New York Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60065000200040001000
Ticket Price140805035250
Attendance204,433163,93168,286130,58633,757
Attendance PCT89.57%86.28%89.85%85.91%88.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 15816 - 87.84% 1,683,555$63,975,074$18006100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
77,006,847$ 82,619,667$ 78,719,667$ 750,000$0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
82,619,667$ 76,531,719$ 0$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,050,664$ 14 423,196$ 5,924,744$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
5,924,744$ 80,639,508$ 79,765,428$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
86,772,667$ 1,227,333$ 88,000,000$ 21,772,667$



Depth Chart

Left WingCenterRight Wing
William NylanderAGE:28PO:0OV:79
Blake ColemanAGE:33PO:0OV:75
Lars EllerAGE:35PO:0OV:73
Nino NiederreiterAGE:32PO:0OV:71
Zach PariseAGE:40PO:0OV:69
Pat MaroonAGE:36PO:0OV:68
Dominic ToninatoAGE:31PO:0OV:63
Michael MerschAGE:32PO:0OV:61
Matthew PecaAGE:31PO:0OV:60
Kyle CliffordAGE:34PO:0OV:60
Nikita Nesterenko (R)AGE:23PO:0OV:58
Cameron WrightAGE:26PO:0OV:57
Carson Golder (R)AGE:22PO:0OV:54
Jeremy BraccoAGE:28PO:0OV:48
Egor KorshkovAGE:28PO:0OV:48
Jacob de La RoseAGE:29PO:0OV:48
Nick PastujovAGE:27PO:0OV:48
Mitch MarnerAGE:27PO:0OV:81
Elias LindholmAGE:30PO:0OV:76
Blake ColemanAGE:33PO:0OV:75
Lars EllerAGE:35PO:0OV:73
Jeff CarterAGE:40PO:0OV:71
Tommy NovakAGE:27PO:0OV:71
Ryan JohansenAGE:32PO:0OV:70
Dominic ToninatoAGE:31PO:0OV:63
Raphael LavoieAGE:24PO:0OV:62
Steven FogartyAGE:31PO:0OV:61
Fredrik KarlstromAGE:27PO:0OV:60
Matthew PecaAGE:31PO:0OV:60
Cedric PareAGE:26PO:0OV:60
Semyon Der-Arguchintsev (R)AGE:24PO:0OV:59
Jackson CatesAGE:27PO:0OV:59
Nikita Nesterenko (R)AGE:23PO:0OV:58
Jacob Gaucher (R)AGE:24PO:0OV:55
Keaton MastrodonatoAGE:24PO:0OV:53
Tag Bertuzzi (R)AGE:24PO:0OV:51
Jacob de La RoseAGE:29PO:0OV:48
Nick PastujovAGE:27PO:0OV:48
Mitch MarnerAGE:27PO:0OV:81
William NylanderAGE:28PO:0OV:79
Elias LindholmAGE:30PO:0OV:76
Blake ColemanAGE:33PO:0OV:75
Jordan EberleAGE:34PO:0OV:73
Jeff CarterAGE:40PO:0OV:71
Nino NiederreiterAGE:32PO:0OV:71
Ryan JohansenAGE:32PO:0OV:70
Cal ClutterbuckAGE:37PO:0OV:69
Zach PariseAGE:40PO:0OV:69
Pat MaroonAGE:36PO:0OV:68
Ryan ReavesAGE:38PO:0OV:63
Raphael LavoieAGE:24PO:0OV:62
Steven FogartyAGE:31PO:0OV:61
Cameron WrightAGE:26PO:0OV:57
Jeremy BraccoAGE:28PO:0OV:48
Egor KorshkovAGE:28PO:0OV:48

Defense #1Defense #2Goalie
Jacob TroubaAGE:31PO:0OV:76
Matt RoyAGE:30PO:0OV:74
Ryan SuterAGE:40PO:0OV:73
Nick JensenAGE:34PO:0OV:72
Luke SchennAGE:35PO:0OV:71
Timothy LiljegrenAGE:25PO:0OV:70
Trevor van RiemsdykAGE:33PO:0OV:70
Matthew KesselAGE:24PO:0OV:63
Calle RosenAGE:31PO:0OV:62
Jakub Galvas (R)AGE:25PO:0OV:57
Joseph CecconiAGE:27PO:0OV:56
Joseph DuszakAGE:27PO:0OV:56
Blake HillmanAGE:29PO:0OV:55
Mason MillmanAGE:23PO:0OV:53
Kim NousiainenAGE:24PO:0OV:53
Dmitry Kuzmin (R)AGE:21PO:0OV:52
Kyle Masters (R)AGE:21PO:0OV:52
Tyson Feist (R)AGE:24PO:0OV:52
Andreas BorgmanAGE:29PO:0OV:48
Andrew NielsenAGE:28PO:0OV:48
Carl DahlstromAGE:30PO:0OV:48
Teemu KivihalmeAGE:29PO:0OV:48
Petr MrazekAGE:33PO:0OV:74
Anthony StolarzAGE:31PO:0OV:72
Ilya SamsonovAGE:28PO:0OV:65
Joseph WollAGE:26PO:0OV:65
Scott WedgewoodAGE:32PO:0OV:62
Brandon HalversonAGE:29PO:0OV:60
Adam ScheelAGE:25PO:0OV:60

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
Adam ParsellsNew York Rangers2015188
Alexander DergachyovNew York Rangers201590
Artur AkhtyamovNew York Rangers202098
Cameron O'NeillNew York Rangers2022170
Danila YurovNew York Rangers202219
Gavin McCarthyNew York Rangers2023102
Jack SmithNew York Rangers2020126
Joaquim LemayNew York Rangers2021150
John FuscoNew York Rangers2020188
Jonathan CastagnaNew York Rangers202380
Joseph MasoniusNew York Rangers2016190
Josh NodlerNew York Rangers2019189
Matthew AndonovskiNew York Rangers2023156
Owen LindmarkNew York Rangers2019173
Riley StottsNew York Rangers201873
Sam HarrisNew York Rangers2023149
Samuel SjolundNew York Rangers2019142
Stepan ZvyaginNew York Rangers2023208
Tristan LuneauNew York Rangers202251
Victor NorringerNew York Rangers2024147
Viktor HurtigNew York Rangers2021190
Vladimir BobylevNew York Rangers2016130
Wyatt SchingoetheNew York Rangers2020191

Draft Picks

Year R1R2R3R4R5R6R7
2025NYR NYR NYR
2026NYR NYR NYR NYR NYR NYR
2027NYR NYR NYR NYR NYR NYR NYR
2028NYR NYR NYR NYR NYR NYR NYR
2029NYR NYR NYR NYR NYR NYR NYR
Conditional Draft Picks



No News Found in News Database. Please create a news.


New York Rangers Trade History

[10.03.2025 22:04:04] - New Record for Team's Most Shots Blocked (27) in 1 Game for New York Rangers!
[20.12.2024 23:55:43] - TRADE : From Utah Hockey Club to New York Rangers : Blake Coleman (75).
[20.12.2024 23:55:43] - TRADE : From New York Rangers to Utah Hockey Club : Alex Iafallo (67), Y:2025-RND:5-NYR.
[23.11.2024 00:04:04] - TRADE : From New York Rangers to Carolina Hurricanes : Barrett Hayton (68), Evander Kane (72), Jakob Chychrun (72).
[23.11.2024 00:04:04] - TRADE : From Carolina Hurricanes to New York Rangers : Anthony Stolarz (72), Elias Lindholm (76), Lars Eller (73), Ryan Suter (73).
[20.09.2024 13:58:54] - TRADE : From New York Rangers to Chicago Blackhawks : Mark Jankowski (67), Y:2025-RND:4-NYR.
[20.09.2024 13:58:54] - TRADE : From Chicago Blackhawks to New York Rangers : Trevor van Riemsdyk (70).
[05.09.2024 17:40:09] - Michael Mersch was added to New York Rangers.
[18.08.2024 20:10:56] - Matthew Peca was added to New York Rangers.
[18.08.2024 20:09:22] - Kyle Clifford was added to New York Rangers.
[18.08.2024 20:07:10] - Cameron Wright was added to New York Rangers.
[18.08.2024 20:06:06] - Ryan Reaves was added to New York Rangers.
[14.08.2024 22:38:11] - Joseph Duszak was added to New York Rangers.
[14.08.2024 22:36:53] - Tyson Feist was added to New York Rangers.
[14.08.2024 20:59:58] - Carson Golder was added to New York Rangers.
[13.08.2024 21:32:12] - Jackson Cates was added to New York Rangers.
[13.08.2024 21:30:39] - Keaton Mastrodonato was added to New York Rangers.
[13.08.2024 21:28:50] - Jacob Gaucher was added to New York Rangers.
[04.08.2024 17:30:25] - TRADE : From Seattle Kraken to New York Rangers : Petr Mrazek (74).
[04.08.2024 17:30:25] - TRADE : From New York Rangers to Seattle Kraken : Nicholas Robertson (64).
[04.08.2024 12:03:39] - Pat Maroon was added to New York Rangers.
[03.08.2024 23:07:20] - Cal Clutterbuck signed with New York Rangers for 1.600.000 € for 1 year(s) / Signing Bonus of 320.000 €.
[03.08.2024 23:07:20] - Cal Clutterbuck was added to New York Rangers.
[29.07.2024 22:58:00] - New York Rangers drafts Victor Norringer as the #147 overall pick in the Entry Draft of year 2024.



[06.04.2025 22:29:55] Mitch Marner from New York Rangers is back from Exhaustion.
[06.04.2025 08:42:14] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[06.04.2025 08:42:12] Mitch Marner from New York Rangers is injured from Exhaustion.
[06.04.2025 08:42:09] Auto Lines Partial Function has been run for New York Rangers.
[06.04.2025 08:42:09] Auto Roster Partial Function has been run for New York Rangers.
[06.04.2025 08:42:09] New York Rangers roster errors : Not enough Forward available in Pro Team! 10 Dressed. 11 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[03.04.2025 21:43:12] Mitch Marner from New York Rangers is back from Exhaustion.
[01.04.2025 21:35:53] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[01.04.2025 21:35:53] Mitch Marner from New York Rangers is injured from Exhaustion.
[01.04.2025 21:35:48] Auto Lines Partial Function has been run for New York Rangers.
[01.04.2025 21:35:48] Auto Roster Partial Function has been run for New York Rangers.
[01.04.2025 21:35:48] New York Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[31.03.2025 20:26:16] Auto Lines Partial Function has been run for New York Rangers.
[31.03.2025 20:26:16] Auto Roster Partial Function has been run for New York Rangers.
[31.03.2025 20:26:16] New York Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[28.03.2025 21:44:44] Ryan Johansen from New York Rangers is back from Left Knee Injury.
[28.03.2025 21:44:34] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[28.03.2025 21:44:34] Hartford Wolf Pack (New York Rangers) lines errors : Normal line # 1 Defense #1 is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Normal line # 2 Defense #2 is empty. Normal line # 2 Defense #2 is empty. Unknown Player is used twice in Normal line #2 Normal line # 3 Defense #3 is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Normal line # 4 Defense #4 is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal lines 1 and 2. Unknown Player is used twice in Normal lines 1 and 2. PP line 1 Defense #1 is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. Unknown Player is used twice PP in line#1 Unknown Player is used twice PK3 in line#1 PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. Unknown Player is used twice PP in line#2 Unknown Player is used twice PK in line#2 Unknown Player is used twice 4 vs 4 in line#2 Unknown Player is used twice PK3 in line#2 LastMinOff line Defense is empty. LastMinDef line Defense is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Extra Defense #0 is empty. Extra Defense #1 is empty. Extra Defense #2 is empty. Extra Defense #3 is empty. Extra Defense #4 is empty. Extra Defense #5 is empty. Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense PK
[28.03.2025 21:44:34] Auto Lines Partial Function has been run for New York Rangers.
[28.03.2025 21:44:34] New York Rangers lines errors : Normal line # 1 Defense #1 is empty. Normal line # 4 C is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Extra Defense #3 is empty. Starting Goalie is empty. Backup Goalie is empty. Starting Goalie and BackUp Goalie are the same
[28.03.2025 21:44:34] Auto Roster Partial Function has been run for New York Rangers.
[28.03.2025 21:44:34] New York Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[25.03.2025 22:53:32] Anthony Stolarz from New York Rangers is back from Sore Right Knee Injury.
[25.03.2025 22:53:28] Game 1104 - Anthony Stolarz from New York Rangers is injured (Sore Right Knee) and is out for 3 days.
[25.03.2025 22:53:20] Auto Lines Partial Function has been run for New York Rangers.
[25.03.2025 22:53:20] Auto Roster Partial Function has been run for New York Rangers.
[25.03.2025 22:53:20] New York Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[24.03.2025 20:56:30] Jacob Trouba from New York Rangers is back from Exhaustion.
[23.03.2025 21:11:11] Jakub Galvas from Hartford Wolf Pack is back from Exhaustion.
[23.03.2025 21:11:11] Calle Rosen from Hartford Wolf Pack is back from Exhaustion.
[23.03.2025 21:11:08] Jacob Trouba from New York Rangers is injured from Exhaustion.
[23.03.2025 21:10:04] Auto Lines Partial Function has been run for New York Rangers.
[23.03.2025 21:10:04] Auto Roster Partial Function has been run for New York Rangers.
[23.03.2025 21:10:04] New York Rangers roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.



Matthew Kessel is out for 2 weeks because of a Back Spasms Injury.



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
1Mitch Marner3131151903053541427464105710.88%159665421.262964931411452630434.64%00.92726
2William Nylander314126152278376529232997612.91%108546417.4044499312512310231240.63%41.02219
3Nazem Kadri245771362134741943430972910.56%87448318.3020406066213914654.19%00.95517
4Ryan Johansen311638214581243653806359.92%72420713.531724413501117558.50%00.69512
5Evander Kane24562821443448655423054611.36%78418117.0715193449101412545.99%10.6904

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
1Elvis Merzlikins1085437120.9162.4562852425730541484930.83673
2Ilya Samsonov643517100.9192.3437761031471821884500.55229
3Petr Mrazek52291650.9152.602974021291514738420.83318
4Scott Wedgewood44281210.9142.512509031051224655400.75032
5Anthony Stolarz2717600.9282.2414714055767436100.76025

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
Regular Season
202082334000324202230-2841162000203104120-164117200012198110-1277202326528314478783218365673578923247079682618202344318.38%2836377.74%5748157347.55%792175345.18%498110345.15%163485617657891552766
20228233280131072312238411513012641101055411815001431211183982313696002446759916251478283688678241477086917983026120.20%2998073.24%2885174050.86%906177551.04%572110851.62%1790102217277681489733
20238237270343822820523412213021031251002541151401335103105-2982283806080560758712249077483985458238180887717662875719.86%2966478.38%3898173451.79%905176651.25%579111352.02%1777101017227661491738
20247534240338322020020382010022311139518371414011521071052962203505702246838019225366873683360229974863814382585119.77%2375377.64%3854159653.51%897165454.23%580105455.03%159788815757061388695
Total Regular Season321137119071323228818582316173560579114524203216064630261411429438-9369881142523067121963113445094402880314633622199564312232106822108121219.61%111526076.68%133385664350.96%3500694850.37%2229437850.91%679937776790303159212934
Playoff
Total Playoff00000000000000%0%0%0%0%000000

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