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New York Rangers
GP: 27 | W: 13 | L: 12 | OTL: 2 | P: 28
GF: 81 | GA: 92 | PP%: 16.36% | PK%: 77.86%
GM : Robert Börsholt | Morale : 54 | Team Overall : 69
Next Games #413 vs Washington Capitals
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Game Center
New York Rangers
13-12-2, 28pts
3
FINAL
2 Washington Capitals
13-10-2, 28pts
Team Stats
W2StreakL1
6-4-2Home Record8-3-2
7-8-0Away Record5-7-0
6-4-0Last 10 Games5-3-2
3.00Goals Per Game3.24
3.41Goals Against Per Game3.32
16.36%Power Play Percentage25.00%
77.86%Penalty Kill Percentage78.90%
New York Rangers
13-12-2, 28pts
2
FINAL
1 Boston Bruins
15-8-3, 33pts
Team Stats
W2StreakSOL1
6-4-2Home Record9-3-1
7-8-0Away Record6-5-2
6-4-0Last 10 Games6-2-2
3.00Goals Per Game3.00
3.41Goals Against Per Game2.73
16.36%Power Play Percentage16.04%
77.86%Penalty Kill Percentage84.21%
Washington Capitals
13-10-2, 28pts
Day 63
New York Rangers
13-12-2, 28pts
Team Stats
L1StreakW2
8-3-2Home Record6-4-2
5-7-0Away Record7-8-0
5-3-2Last 10 Games6-4-0
3.24Goals Per Game3.00
3.32Goals Against Per Game3.00
25.00%Power Play Percentage16.36%
78.90%Penalty Kill Percentage77.86%
Ottawa Senators
9-13-3, 21pts
Day 68
New York Rangers
13-12-2, 28pts
Team Stats
W2StreakW2
4-6-2Home Record6-4-2
5-7-1Away Record7-8-0
4-5-1Last 10 Games6-4-0
2.80Goals Per Game3.00
3.48Goals Against Per Game3.00
17.48%Power Play Percentage16.36%
76.58%Penalty Kill Percentage77.86%
Detroit Red Wings
19-5-0, 38pts
Day 71
New York Rangers
13-12-2, 28pts
Team Stats
W2StreakW2
10-3-0Home Record6-4-2
9-2-0Away Record7-8-0
9-1-0Last 10 Games6-4-0
3.79Goals Per Game3.00
2.29Goals Against Per Game3.00
23.58%Power Play Percentage16.36%
83.87%Penalty Kill Percentage77.86%
Team Leaders
Mika ZibanejadGoals
Mika Zibanejad
15
Mika ZibanejadAssists
Mika Zibanejad
20
Mika ZibanejadPoints
Mika Zibanejad
35
Braden SchneiderPlus/Minus
Braden Schneider
6
Igor ShesterkinWins
Igor Shesterkin
13
Igor ShesterkinSave Percentage
Igor Shesterkin
0.896

Team Stats
Goals For
81
3.00 GFG
Shots For
858
31.78 Avg
Power Play Percentage
16.4%
18 GF
Offensive Zone Start
36.2%
Goals Against
92
3.41 GAA
Shots Against
865
32.04 Avg
Penalty Kill Percentage
77.9%%
29 GA
Defensive Zone Start
40.5%
Team Info

General ManagerRobert Börsholt
CoachRobert Borsholt
DivisionMetropolitan Division
ConferenceEastern Conference
CaptainJacob Trouba
Assistant #1Mika Zibanejad
Assistant #2Chris Kreider


Arena Info

NameMadison Square Garden
Capacity18,000
Attendance16,298
Season Tickets7,200


Roster Info

Pro Team23
Farm Team23
Contract Limit46 / 60
Prospects20


Salary Cap

Estimated Season Salary Cap81,276,195$
Available Salary Cap2,223,805$
Special Salary Cap Value0$
Players In Salary Cap26


Finance

Year to Date Revenue20,743,103$
Year To Date Expenses68,752,334$
Estimated Season Revenue5,185,776$
Estimated Season Expenses14,688,037$
Current Bank Account26,635,806$
Projected Bank Account17,022,949$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Mika Zibanejad (A)0X96.00633298927396999989958990808774296684N03188,500,000$
2Artemi Panarin0X99.00503081994999999930998065997873295379N032411,642,857$
3Chris Kreider (A)0X96.00904287729993969235658576368676295777N03356,500,000$
4Vincent Trocheck0X100.00754468826095998897867281447861296276N03075,625,000$
5Filip Chytil0X100.0061358872798492666070747338534456616702412,300,000$
6Alexis Lafreniere0X100.007338857669859864306968715444397576670221925,000$
7Taylor Raddysh0X98.016431967078889681436570693143424744670262775,000$
8Barclay Goodrow0X100.00789973578183995566666282317067295466N03153,641,667$
9Kaapo Kakko0X100.0057349972758599603068687675513974476602322,100,000$
10Jimmy Vesey0X100.006953986080819952306263873270582945640301775,000$
11Tyler Pitlick0X100.007431995375738151505958703065582957600321775,000$
12Riley Nash0X100.003730824466658565305752523082672976560341775,000$
13Jacob Trouba (C)0X96.00929268678691996230685897308086305376N03048,000,000$
14K'Andre Miller0X100.008239768190989661308064903145406153740241925,000$
15Erik Gustafsson0X100.005337918163888978308058723063562943690321800,000$
16Braden Schneider0X100.008360996385809859306358853039366947680222925,000$
17Ryan Lindgren0X100.0064387170648783533065508230504447476402623,000,000$
Scratches
1Alex Belzile0X100.005648825864788253376061683749492934590321775,000$
2Jonny Brodzinski0X100.005731775070728456535253673144573027560302775,000$
3Adam Fox0X94.0050308299549799993099679834524546617802679,500,000$
4Ben Harpur0X100.008179915599777951305552733049472946640291775,000$
Farm Team
1Will Cuylle (R)0X97.007272675186669157305051613535327150550223828,333$
2Jake Leschyshyn0X95.006930995267767453625354603038385265550253775,000$
3Anton Blidh0X98.006640655070658651305054593042442968530291775,000$
4Turner Elson0X98.004230823961659056304944503040472974490312775,000$
5Lauri Pajuniemi0X98.004730854565658754304447513033365164490241883,750$
6Bobby Trivigno0X100.003030925631667848404536533033364970460252925,000$
7Matt Rempe (R)0X98.007177453199557438453234493030326760440213820,000$
8Karl Henriksson (R)0X99.002930934944658943403736473031336563430232870,000$
9Adam Edstrom (R)0X96.006930993199463230402932413032355653400233846,667$
10Adam Sykora (R)0X100.002930994946453630303035413028298257370191775,000$
11Brett Berard (R)0X100.003030994936403230303030423029316928360211775,000$
12Connor Mackey0X100.007099685579775552305756683038423454590271912,500$
13Mac Hollowell0X96.005030987434754955306453693034384760560251775,000$
14Brandon Scanlin0X100.006430863186588142303933583033364946500241925,000$
15Ryan Jones0X100.006443703081638140303632413057493457480271775,000$
16Matthew Robertson (R)0X100.005030824176597850304233413031336550470232797,500$
17Nikolas Brouillard0X100.003064295527659054305134303037422962440291775,000$
18Jacob Friend0X100.003330783656403130303030413034383827370261775,000$
19Ryder Korczak (R)0X100.003030994645443330403030453029317228370213859,167$
20Olivier LeBlanc0X100.003030784047403530303030423035403134370281775,000$
TEAM AVERAGE99.00674585707485936942716577416155415368
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
1Igor Shesterkin098.009399967095999799987198536129618502835,666,667$
2Jonathan Quick0100.006684737967798377825072999930557603825,800,000$
Scratches
Farm Team
1Louis Domingue0100.00598869836071726969425355682988650322775,000$
2Dylan Garand (R)0100.00458256544553535653353729357065490213828,333$
3Olof Lindbom (R)0100.00325131673130303131303031406039360232855,000$
TEAM AVERAGE99.0080928575818990889061857680305881
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Robert Borsholt5050505015050SWE3311,000,000$


Filter Tips
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mika ZibanejadNew York RangersC271520355404256115508613.04%1560822.534101423951012602055.24%8203216001.1512000311
2Artemi PanarinNew York RangersLW25141428-11151926111316412.61%1150620.2744824890110513235.09%572912001.1102000412
3Vincent TrocheckNew York RangersC27814221280474676285710.53%1350418.6724614850001481060.45%359179010.8701000111
4Chris KreiderNew York RangersLW27116173100522594275011.70%657321.262029851015831138.89%54179000.5922000113
5Adam FoxNew York RangersD2651116-816025398344366.02%3059122.752021882011387010%02516000.5400000012
6Filip ChytilNew York RangersC277613-180172151184013.73%829510.950110120002221039.52%21073000.8800000010
7Taylor RaddyshNew York RangersRW274812560252822173418.18%1451118.962356670002431032.26%12459000.4701000001
8K'Andre MillerNew York RangersD2701111-138038404018160%2854420.17000155000275000%01324000.4000000100
9Jacob TroubaNew York RangersD27178084074403219163.13%3872426.851236101000074000%0418000.2200000000
10Alexis LafreniereNew York RangersLW2343730023152310917.39%832414.120000120002120118.75%1614000.4300000010
11Jimmy VeseyNew York RangersLW27347-7201715357168.57%52539.4000000000000055.56%945000.5500000000
12Erik GustafssonNew York RangersD27156-210012264820132.08%2852919.61011466000176100%0516000.2302000010
13Kaapo KakkoNew York RangersRW27246-20019234215264.76%637413.85000175000001016.67%12112000.3211000010
14Barclay GoodrowNew York RangersC27224-72753518289247.14%534412.771122320001690044.00%7556000.2300100001
15Tyler PitlickNew York RangersC2704400091110690%41977.310441140000140051.02%4900000.4100000010
16Ben HarpurNew York RangersD2612301210231711269.09%2335213.5500000000075000%017000.1700002001
17Braden SchneiderNew York RangersD8033600596240%816220.3000012300003000%025000.3700000000
18Ryan LindgrenNew York RangersD27022-11601722146100%2032812.1700003000122000%0010000.1200000000
19Alex BelzileNew York RangersRW16101-60011814557.14%21499.3300000000000025.00%401000.1300000001
20Jonny BrodzinskiNew York RangersC10000-100322000%2464.6600000000040033.33%30000000000000
21Riley NashNew York RangersRW1000000001000%077.120000000000000%00000000000000
Team Total or Average48679126205-14272205134878583345219.21%274793216.321830481109052242282811550.45%1792178172010.52411102101013
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Igor ShesterkinNew York Rangers26131120.8963.2715052082788308000.8758261332
2Jonathan QuickNew York Rangers40100.8704.69128001077350000126000
Team Total or Average30131220.8943.38163420928653430082727332


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 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 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
Adam Fox (1 Way Contract)New York RangersD261998-02-17No185 Lbs5 ft11NoNoDraftNoYes72024-02-01FalseFalsePro Only9,500,000$9,500,000$1,646,667$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$---NoNoNoNoNoNo---Link / NHL Link
Alex BelzileNew York RangersRW321991-08-31No195 Lbs6 ft0NoNoFree AgentNoYes12024-02-03FalseFalsePro Only775,000$775,000$134,333$No------------------Link / NHL Link
Alexis LafreniereNew York RangersLW222001-10-11No194 Lbs6 ft1NoNoFree AgentNoNo12024-02-02FalseFalsePro & Farm925,000$925,000$160,333$No------------------Link / NHL Link
Artemi Panarin (1 Way Contract)New York RangersLW321991-10-30No175 Lbs6 ft0YesNoFree AgentNoYes42024-02-01FalseFalsePro Only11,642,857$11,642,857$2,018,095$No11,642,857$11,642,857$11,642,857$------YesYesYes------Link / NHL Link
Barclay Goodrow (1 Way Contract)New York RangersC311993-02-26No209 Lbs6 ft2YesNoFree AgentNoYes52024-02-02FalseFalsePro Only3,641,667$3,641,667$631,222$No3,641,667$3,641,667$3,641,667$3,641,667$-----YesYesYesYes-----Link / NHL Link
Ben HarpurNew York RangersD291995-01-12No230 Lbs6 ft6NoNoFree AgentNoYes12024-02-02FalseFalsePro Only775,000$775,000$134,333$No------------------Link / NHL Link
Braden SchneiderNew York RangersD222001-09-20No211 Lbs6 ft3NoNoFree AgentNoNo22024-02-02FalseFalsePro & Farm925,000$925,000$160,333$No925,000$--------No--------Link / NHL Link
Chris Kreider (1 Way Contract)New York RangersLW331991-04-30No233 Lbs6 ft3YesNoFree AgentNoYes52024-02-02FalseFalsePro Only6,500,000$6,500,000$1,126,667$No6,500,000$6,500,000$6,500,000$6,500,000$-----YesYesYesYes-----Link / NHL Link
Erik Gustafsson (1 Way Contract)New York RangersD321992-03-14No189 Lbs6 ft1NoNoFree AgentNoYes12024-02-02FalseFalsePro Only800,000$800,000$138,667$No------------------Link / NHL Link
Filip Chytil (1 Way Contract)New York RangersC241999-09-05No208 Lbs6 ft2NoNoFree AgentNoYes12024-02-02FalseFalsePro Only2,300,000$2,300,000$398,667$No------------------Link / NHL Link
Igor Shesterkin (1 Way Contract)New York RangersG281995-12-30No197 Lbs6 ft1NoNoFree AgentNoYes32024-02-01FalseFalsePro Only5,666,667$5,666,667$982,222$No5,666,667$5,666,667$-------NoNo-------Link / NHL Link
Jacob Trouba (1 Way Contract)New York RangersD301994-02-26No209 Lbs6 ft3YesNoFree AgentNoYes42024-02-02FalseFalsePro Only8,000,000$8,000,000$1,386,667$No8,000,000$8,000,000$8,000,000$------YesYesYes------Link / NHL Link
Jimmy Vesey (1 Way Contract)New York RangersLW301993-05-26No200 Lbs6 ft2NoNoFree AgentNoYes12024-02-02FalseFalsePro Only775,000$775,000$134,333$No------------------Link / NHL Link
Jonathan Quick (1 Way Contract)New York RangersG381986-01-21No215 Lbs6 ft1NoNoFree AgentNoNo22024-04-20FalseFalsePro Only5,800,000$5,800,000$1,005,333$No900,000$--------Yes--------Link / NHL Link
Jonny BrodzinskiNew York RangersC301993-06-19No204 Lbs6 ft0NoNoFree AgentNoYes22024-02-03FalseFalsePro Only775,000$775,000$134,333$No775,000$--------No--------Link / NHL Link
K'Andre MillerNew York RangersD242000-01-21No210 Lbs6 ft5NoNoFree AgentNoYes12024-02-02FalseFalsePro Only925,000$925,000$160,333$No------------------Link / NHL Link
Kaapo Kakko (1 Way Contract)New York RangersRW232001-02-13No205 Lbs6 ft2NoNoFree AgentNoYes22024-02-02FalseFalsePro Only2,100,000$2,100,000$364,000$No2,100,000$--------No--------Link / NHL Link
Mika Zibanejad (1 Way Contract)New York RangersC311993-04-18No201 Lbs6 ft2YesNoFree AgentNoYes82024-02-02FalseFalsePro Only8,500,000$8,500,000$1,473,333$No8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$--YesYesYesYesYesYesYes--Link / NHL Link
Riley NashNew York RangersRW341989-05-09No187 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$775,000$134,333$No------------------Link / NHL Link
Ryan Lindgren (1 Way Contract)New York RangersD261998-02-11No193 Lbs6 ft0NoNoFree AgentNoYes22024-02-02FalseFalsePro Only3,000,000$3,000,000$520,000$No3,000,000$--------No--------Link / NHL Link
Taylor Raddysh (1 Way Contract)New York RangersRW261998-02-18No198 Lbs6 ft3NoNoTrade2024-02-23NoYes22024-02-04FalseFalsePro Only775,000$775,000$134,333$No775,000$--------No--------Link / NHL Link
Tyler Pitlick (1 Way Contract)New York RangersC321991-11-01No199 Lbs6 ft2NoNoFree AgentNoYes12024-02-03FalseFalsePro Only775,000$775,000$134,333$No------------------Link / NHL Link
Vincent Trocheck (1 Way Contract)New York RangersC301993-07-11No187 Lbs5 ft11YesNoFree AgentNoYes72024-02-02FalseFalsePro Only5,625,000$5,625,000$975,000$No5,625,000$5,625,000$5,625,000$5,625,000$5,625,000$5,625,000$---YesYesYesYesYesYes---Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2328.91201 Lbs6 ft22.783,533,747$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
81,276,191$67,551,191$59,076,191$53,409,524$33,766,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris KreiderMika ZibanejadTaylor Raddysh38113
2Artemi PanarinVincent TrocheckAlexis Lafreniere38113
3Barclay GoodrowFilip ChytilKaapo Kakko16122
4Jimmy VeseyTyler PitlickRiley Nash8230
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob Trouba40122
2K'Andre MillerErik Gustafsson30122
3Braden SchneiderRyan Lindgren20131
4Jacob Trouba10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Artemi PanarinMika ZibanejadVincent Trocheck70005
2Alexis LafreniereBarclay GoodrowKaapo Kakko30005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris Kreider70005
2Jacob TroubaErik Gustafsson30005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadArtemi Panarin60131
2Vincent TrocheckChris Kreider40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan LindgrenJacob Trouba60122
2K'Andre MillerErik Gustafsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mika Zibanejad60122Ryan LindgrenJacob Trouba60122
2Vincent Trocheck40122K'Andre MillerErik Gustafsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadArtemi Panarin60122
2Vincent TrocheckChris Kreider40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob Trouba60122
2K'Andre MillerRyan Lindgren40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Artemi PanarinMika ZibanejadVincent TrocheckChris Kreider
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Artemi PanarinMika ZibanejadVincent TrocheckChris KreiderJacob Trouba
Extra Forwards
Normal PowerPlayPenalty Kill
Taylor Raddysh, Alexis Lafreniere, Filip ChytilTaylor Raddysh, Alexis LafreniereTaylor Raddysh
Extra Defensemen
Normal PowerPlayPenalty Kill
, Braden Schneider, Ryan LindgrenErik GustafssonErik Gustafsson, Braden Schneider
Penalty Shots
Mika Zibanejad, Artemi Panarin, Chris Kreider, Vincent Trocheck, Taylor Raddysh
Goalie
#1 : Igor Shesterkin, #2 : Jonathan Quick
Custom OT Lines Forwards
Mika Zibanejad, Artemi Panarin, Chris Kreider, Vincent Trocheck, Taylor Raddysh, Alexis Lafreniere, Alexis Lafreniere, Filip Chytil, Barclay Goodrow, Kaapo Kakko, Jimmy Vesey
Custom OT Lines Defensemen
, Jacob Trouba, K'Andre Miller, Erik Gustafsson, Braden Schneider


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
1Boston Bruins21000010633110000004221000001021141.000681400014260221820359198447114.29%4175.00%033264451.55%36272150.21%21041450.72%462641183619
2Buffalo Sabres2020000059-41010000035-21010000024-200.0005813000410641226260481418397114.29%9366.67%033264451.55%36272150.21%21041450.72%442639173518
3Carolina Hurricanes22000000725110000004131100000031241.00071219002500681829210732618366116.67%9188.89%133264451.55%36272150.21%21041450.72%402345183317
4Columbus Blue Jackets20100100611-51000010034-11010000037-410.2506814003120651732160572726426233.33%13469.23%033264451.55%36272150.21%21041450.72%432542193617
5Detroit Red Wings1010000014-3000000000001010000014-300.000123000100277101003571674125.00%8187.50%033264451.55%36272150.21%21041450.72%18102510167
6Florida Panthers201000106601010000034-11000001032120.500691500311258211323753141829700.00%9188.89%033264451.55%36272150.21%21041450.72%432444203617
7Montreal Canadiens20200000610-41010000024-21010000046-200.000691500321064252118069191525900.00%5180.00%033264451.55%36272150.21%21041450.72%432341183519
8New Jersey Devils21000100101001000010045-11100000065130.750101525001630611228210622926398450.00%13192.31%133264451.55%36272150.21%21041450.72%442338193717
9New York Islanders2110000069-3110000005411010000015-420.50061117001320559242207422423910110.00%22768.18%033264451.55%36272150.21%21041450.72%402245203315
10Ottawa Senators10001000321000000000001000100032121.000358000111408102024381213400.00%6183.33%033264451.55%36272150.21%21041450.72%2112218168
11Philadelphia Flyers22000000532110000002111100000032141.000581300140063202419070223652900.00%130100.00%033264451.55%36272150.21%21041450.72%452439183517
12Pittsburgh Penguins2110000056-1110000004131010000015-420.5005611000410591419260601612486116.67%6266.67%033264451.55%36272150.21%21041450.72%422338193919
13Tampa Bay Lightning20101000770100010004311010000034-120.500713200001517112282836112164710220.00%8537.50%033264451.55%36272150.21%21041450.72%452439173618
14Toronto Maple Leafs2020000058-31010000034-11010000024-200.000581300221063161829069249328225.00%4175.00%033264451.55%36272150.21%21041450.72%442641173417
15Washington Capitals10001000321000000000001000100032121.0003470011014091614132152219222.22%20100.00%033264451.55%36272150.21%21041450.72%24132091810
Total27812032208192-11125401200413831538020204054-14280.51981126207001737227858222316313168652742745131101816.36%1312977.86%233264451.55%36272150.21%21041450.72%589330564253483242
_Since Last GM Reset27812032208192-11125401200413831538020204054-14280.51981126207001737227858222316313168652742745131101816.36%1312977.86%233264451.55%36272150.21%21041450.72%589330564253483242
_Vs Conference27812032208192-11125401200413831538020204054-14280.51981126207001737227858222316313168652742745131101816.36%1312977.86%233264451.55%36272150.21%21041450.72%589330564253483242
_Vs Division1373012004243-16400020022166733010002027-7180.69242641060092481411991721391428157162277541120.37%781580.77%233264451.55%36272150.21%21041450.72%281155270125235115

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2728W28112620785886527427451300
All Games
GPWLOTWOTL SOWSOLGFGA
2781232208192
Home Games
GPWLOTWOTL SOWSOLGFGA
125412004138
Visitor Games
GPWLOTWOTL SOWSOLGFGA
153820204054
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1101816.36%1312977.86%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
222316313161737227
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33264451.55%36272150.21%21041450.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
589330564253483242


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
29New York Rangers1Pittsburgh Penguins5LBoxScore
425Boston Bruins2New York Rangers4WBoxScore
636New York Rangers2Toronto Maple Leafs4LBoxScore
847New Jersey Devils5New York Rangers4LXBoxScore
1060New York Rangers3Florida Panthers2WXXBoxScore
1382Tampa Bay Lightning3New York Rangers4WXBoxScore
16106Columbus Blue Jackets4New York Rangers3LXBoxScore
18113New York Rangers3Tampa Bay Lightning4LBoxScore
22139Buffalo Sabres5New York Rangers3LBoxScore
24155New York Rangers3Philadelphia Flyers2WBoxScore
26169New York Rangers3Carolina Hurricanes1WBoxScore
28178Toronto Maple Leafs4New York Rangers3LBoxScore
30191New York Rangers2Buffalo Sabres4LBoxScore
32205New York Islanders4New York Rangers5WBoxScore
34216New York Rangers1New York Islanders5LBoxScore
36233New York Rangers1Detroit Red Wings4LBoxScore
38246Philadelphia Flyers1New York Rangers2WBoxScore
41268Pittsburgh Penguins1New York Rangers4WBoxScore
43280New York Rangers3Ottawa Senators2WXBoxScore
46302Carolina Hurricanes1New York Rangers4WBoxScore
47309New York Rangers6New Jersey Devils5WBoxScore
51330New York Rangers3Columbus Blue Jackets7LBoxScore
52341New York Rangers4Montreal Canadiens6LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
54350Florida Panthers4New York Rangers3LBoxScore
57375Montreal Canadiens4New York Rangers2LBoxScore
59391New York Rangers3Washington Capitals2WXBoxScore
61403New York Rangers2Boston Bruins1WXXBoxScore
63413Washington Capitals-New York Rangers-
68439Ottawa Senators-New York Rangers-
71460Detroit Red Wings-New York Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100603525200
Attendance66,12654,97721,40542,01411,054
Attendance PCT91.84%91.63%89.19%87.53%92.12%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 16298 - 90.54% 1,728,592$20,743,103$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
68,752,334$ 83,738,691$ 83,738,690$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
81,276,195$ 65,889,991$ 0$ 26 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,185,776$ 13 1,129,849$ 14,688,037$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
15,035,293$ 26,635,806$ 17,022,949$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
81,276,195$ 2,223,805$ 83,500,000$ 19,576,195$



Depth Chart

Left WingCenterRight Wing
Artemi PanarinAGE:32PO:29OV:79
Chris KreiderAGE:33PO:29OV:77
Alexis LafreniereAGE:22PO:75OV:67
Jimmy VeseyAGE:30PO:29OV:64
Will Cuylle (R)AGE:22PO:71OV:55
Anton BlidhAGE:29PO:29OV:53
Lauri PajuniemiAGE:24PO:51OV:49
Turner ElsonAGE:31PO:29OV:49
Mika ZibanejadAGE:31PO:29OV:84
Vincent TrocheckAGE:30PO:29OV:76
Filip ChytilAGE:24PO:56OV:67
Barclay GoodrowAGE:31PO:29OV:66
Tyler PitlickAGE:32PO:29OV:60
Jonny BrodzinskiAGE:30PO:30OV:56
Jake LeschyshynAGE:25PO:52OV:55
Bobby TrivignoAGE:25PO:49OV:46
Matt Rempe (R)AGE:21PO:67OV:44
Karl Henriksson (R)AGE:23PO:65OV:43
Adam Edstrom (R)AGE:23PO:56OV:40
Ryder Korczak (R)AGE:21PO:72OV:37
Taylor RaddyshAGE:26PO:47OV:67
Kaapo KakkoAGE:23PO:74OV:66
Alex BelzileAGE:32PO:29OV:59
Riley NashAGE:34PO:29OV:56
Adam Sykora (R)AGE:19PO:82OV:37
Brett Berard (R)AGE:21PO:69OV:36

Defense #1Defense #2Goalie
Adam FoxAGE:26PO:46OV:78
Jacob TroubaAGE:30PO:30OV:76
K'Andre MillerAGE:24PO:61OV:74
Erik GustafssonAGE:32PO:29OV:69
Braden SchneiderAGE:22PO:69OV:68
Ryan LindgrenAGE:26PO:47OV:64
Ben HarpurAGE:29PO:29OV:64
Connor MackeyAGE:27PO:34OV:59
Mac HollowellAGE:25PO:47OV:56
Brandon ScanlinAGE:24PO:49OV:50
Ryan JonesAGE:27PO:34OV:48
Matthew Robertson (R)AGE:23PO:65OV:47
Nikolas BrouillardAGE:29PO:29OV:44
Jacob FriendAGE:26PO:38OV:37
Olivier LeBlancAGE:28PO:31OV:37
Igor ShesterkinAGE:28PO:29OV:85
Jonathan QuickAGE:38PO:30OV:76
Louis DomingueAGE:32PO:29OV:65
Dylan Garand (R)AGE:21PO:70OV:49
Olof Lindbom (R)AGE:23PO:60OV:36

Prospects

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PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Brennan OthmannNew York Rangers2021160Link
Brody LambNew York Rangers20211040Link
Bryce McConnell-BarkerNew York Rangers2022970Link
Drew FortescueNew York Rangers2023900Link
Dylan RoobroeckNew York Rangers20231780Link
Gabe PerreaultNew York Rangers2023230Link
Hank KempfNew York Rangers20212080Link
Hugo OllasNew York Rangers20201970Link
Jaroslav ChmelarNew York Rangers20211440Link
Kalle VaisanenNew York Rangers20211060Link
Maxim BarbashevNew York Rangers20221610Link
Mikhail PashninNew York Rangers20092000Link
Noah LabaNew York Rangers20221110Link
Oliver TarnstromNew York Rangers2020920Link
Rasmus LarssonNew York Rangers20231520Link
Simon KjellbergNew York Rangers20181630Link
Talyn BoykoNew York Rangers20211120Link
Ty HenricksNew York Rangers20231830Link
Vittorio ManciniNew York Rangers20221590Link
Zakary KarpaNew York Rangers20221910Link

Draft Picks

Year R1R2R3R4R5
2024
2025
2026
2027
2028
Conditional Draft Picks



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


New York Rangers Trade History

[2024-05-07 23:07:54] - Chris Kreider has been selected as assistant for New York Rangers.
[2024-05-07 23:07:54] - Unknown Player is no longer as assistant for New York Rangers.
[2024-05-07 23:07:54] - Mika Zibanejad has been selected as assistant for New York Rangers.
[2024-05-07 23:07:54] - Unknown Player is no longer as assistant for New York Rangers.
[2024-05-07 23:07:54] - Jacob Trouba has been selected as captain for New York Rangers.
[2024-05-07 23:07:54] - Unknown Player is no longer captain for New York Rangers.
[2024-04-21 23:10:18] - New Record for Team's Most Shots Blocked (19) in 1 Game for New York Rangers!
[2024-04-21 23:10:18] - New Record for Team's Most Points (16) in 1 Game for New York Rangers!
[2024-04-21 23:10:18] - New Record for Team's Most Assists (10) in 1 Game for New York Rangers!
[2024-04-21 23:10:18] - New Record for Team's Most Goals (6) in 1 Game for New York Rangers!
[2024-04-20 23:10:13] - New Record for Team's Most Shots Blocked (16) in 1 Game for New York Rangers!
[2024-04-16 23:06:04] - New Record for Team's Most Shots (40) in 1 Game for New York Rangers!
[2024-04-16 01:32:08] - General Manager Change : New York Rangers hired general manager Robert Börsholt
[2024-04-16 01:31:34] - New York Rangers hired Robert Borsholt for $1,000,000 for 1 year(s).
[2024-04-16 01:31:11] - New York Rangers fired Ben Simon.
[2024-04-15 20:45:26] - New York Rangers hired Ben Simon for $1,000,000 for 1 year(s).
[2024-04-15 20:45:09] - General Manager Change : New York Rangers fired general manager John Salerno
[2024-04-15 20:44:59] - New York Rangers fired John Salerno.
[2024-04-05 23:13:45] - New Record for Team's Most Shots Blocked (14) in 1 Game for New York Rangers!
[2024-04-05 23:13:45] - New Record for Team's Most Points (14) in 1 Game for New York Rangers!
[2024-04-05 23:13:45] - New Record for Team's Most Assists (9) in 1 Game for New York Rangers!
[2024-04-05 23:13:45] - New Record for Team's Most Goals (5) in 1 Game for New York Rangers!
[2024-04-01 23:31:53] - New Record for Team's Most Shots Blocked (13) in 1 Game for New York Rangers!
[2024-03-28 23:12:36] - New Record for Team's Most Hits (35) in 1 Game for New York Rangers!
[2024-03-28 23:12:36] - New Record for Team's Most Penalties Minutes (26) in 1 Game for New York Rangers!
[2024-03-28 23:12:36] - New Record for Team's Most Hits (35) in 1 Game for New York Rangers!
[2024-03-25 23:13:41] - New Record for Team's Most Shots Blocked (12) in 1 Game for New York Rangers!
[2024-03-21 23:08:31] - New Record for Team's Most Shots (39) in 1 Game for New York Rangers!
[2024-03-19 23:09:02] - New Record for Team's Most Hits (24) in 1 Game for New York Rangers!
[2024-03-19 23:09:02] - New Record for Team's Most Shots (36) in 1 Game for New York Rangers!
[2024-03-18 23:07:56] - Jacob Friend signed with New York Rangers for $775,000 for 1 year(s).
[2024-03-18 23:07:56] - Jacob Friend was added to New York Rangers.
[2024-03-18 23:07:32] - Olivier LeBlanc signed with New York Rangers for $775,000 for 1 year(s).
[2024-03-18 23:07:32] - Olivier LeBlanc was added to New York Rangers.
[2024-03-11 00:23:38] - New Record for Team's Most Penalties Minutes (10) in 1 Game for New York Rangers!
[2024-03-11 00:23:38] - New Record for Team's Most Shots (32) in 1 Game for New York Rangers!
[2024-03-08 23:15:07] - New Record for Team's Most Shots Blocked (11) in 1 Game for New York Rangers!



[2024-05-08 23:08:39] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-05-07 23:09:53] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-05-07 23:09:53] Adam Fox from New York Rangers is injured from Exhaustion.
[2024-05-07 23:08:06] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-05-07 23:07:54] Successfully loaded New York Rangers lines done with Web Base Client from IP:83.233.100.227 .
[2024-05-07 23:07:54] Braden Schneider of New York Rangers was sent to pro.
[2024-05-07 23:07:54] Riley Nash of New York Rangers was sent to pro.
[2024-05-06 23:10:46] Adam Fox from New York Rangers is back from Exhaustion.
[2024-05-05 23:35:31] Adam Fox from New York Rangers is injured from Exhaustion.
[2024-05-04 23:02:38] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-05-04 23:01:16] Successfully loaded New York Rangers lines done with Web Base Client from IP:188.149.119.233 .
[2024-05-03 23:00:54] Auto Lines Partial Function has been run for New York Rangers.
[2024-05-03 23:00:54] Auto Roster Partial Function has been run for New York Rangers.
[2024-05-02 23:08:51] Matthew Robertson from Hartford Wolf Pack is back from Right Leg Injury.
[2024-05-02 23:08:51] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-05-02 23:08:51] Game 365 - Matthew Robertson from Hartford Wolf Pack is injured (Right Leg) and is out for 2 days.
[2024-05-01 23:57:34] Taylor Raddysh from New York Rangers is back from Exhaustion.
[2024-05-01 23:57:34] Chris Kreider from New York Rangers is back from Exhaustion.
[2024-05-01 03:17:45] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-05-01 03:17:44] Taylor Raddysh from New York Rangers is injured from Exhaustion.
[2024-05-01 03:17:44] Chris Kreider from New York Rangers is injured from Exhaustion.
[2024-05-01 03:13:28] Auto Lines Partial Function has been run for New York Rangers.
[2024-05-01 03:13:28] Auto Roster Partial Function has been run for New York Rangers.
[2024-04-29 23:30:29] Jacob Trouba from New York Rangers is back from Exhaustion.
[2024-04-29 23:30:29] Taylor Raddysh from New York Rangers is back from Exhaustion.
[2024-04-28 23:16:31] Brandon Scanlin from Hartford Wolf Pack is back from Left Hip Injury.
[2024-04-28 23:16:31] Jacob Trouba from New York Rangers is injured from Exhaustion.
[2024-04-28 23:16:31] Taylor Raddysh from New York Rangers is injured from Exhaustion.
[2024-04-28 17:04:44] Auto Lines Function has been run for New York Rangers.
[2024-04-28 17:04:44] Auto Lines Partial Function has been run for New York Rangers.
[2024-04-28 17:04:34] Successfully loaded New York Rangers lines done with Web Base Client from IP:192.71.14.208 .
[2024-04-25 23:40:43] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-25 23:32:27] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-25 01:00:45] Successfully loaded New York Rangers lines done with Web Base Client.
[2024-04-23 23:04:42] Igor Shesterkin from New York Rangers is back from Exhaustion.
[2024-04-23 23:04:42] Taylor Raddysh from New York Rangers is back from Left Hand Injury.
[2024-04-23 23:04:42] Last 7 Days Pro Star : 1 - Adrian Kempe of Los Angeles Kings (5-3-8) / 2 - Mika Zibanejad of New York Rangers (3-5-8) / 3 - William Karlsson of Vegas Golden Knights (1-8-9)



Adam Fox is out for 1 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