Login

New York Rangers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Geordie Cooper | Morale : 50 | Team Overall : 76
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerGeordie Cooper
CoachBill Peters
DivisionMetropolitan
ConferenceEastern Conference
CaptainRyan Ellis
Assistant #1Morgan Frost
Assistant #2Nick Suzuki


Arena Info

NameMadison Square Garden
Capacity18,200
Attendance
Season Tickets14,560


Roster Info

Pro Team21
Farm Team21
Contract Limit42 / 50
Prospects48


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap72,500,000$
Special Salary Cap Value0$
Players In Salary Cap21


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account34,493,787$
Projected Bank Account34,493,787$


Team History

This Season0-0-0 (0PTS)
History79-69-14 (0.488%)
Playoff Appearances2
Playoff Record (W-L)0-4
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
1Anthony CirelliX100.0073408586779696848987848069999705080N22774,000,000$
2Nick Suzuki (A)X100.0070308388759999868286857775888505080N22543,250,000$
3Morgan Frost (A)XX100.0068309286719496867585857674817905078N22573,500,000$
4Daniel SprongXX100.0067309583709597836382817374908505076N22723,500,000$
5Nicklas BackstromX100.006530968076929380878276757799990507623723,750,000$
6Ryan StromeXX100.007338837676949978797878767299960507623135,000,000$
7Ryan PoehlingXX100.008030848078909079817975757285830507512511,200,000$
8Calle JarnkrokXXX100.006432967872899977787777766999990507523324,500,000$
9Dakota JoshuaXX100.00935268758191927770757778627875050740281800,000$
10Peyton Krebs (R)XX100.006730918472889277687876767275750507412311,000,000$
11Joonas DonskoiXX100.006430977675859274687273777499950507313212,700,000$
12Austin WatsonXXX100.00713693728287887375737177629184050721321750,000$
13Kristopher LetangX100.0073468381779598813080748473999905079N23725,750,000$
14Ryan Ellis (C)X100.0071338582709899833083788360999905079N23355,250,000$
15Ryan GravesX100.007754807886959977307672824790850507822932,750,000$
16Will ButcherX100.006830928475939976307670825694920507722932,700,000$
17J.J. MoserX100.00694085837092927430726681528278050741241950,000$
Scratches
1Matthew BoldyXX100.0067308085799595856884847674838405078N22382,000,000$
2Tyson JostXX100.006630978373899778737777737688820507512622,000,000$
3Mason Primeau (R)X100.00756588708073746474645471526160050650233750,000$
Farm Team
1Jack StudnickaXX100.007435888176879377767575767480810507412511,450,000$
2Arttu RuotsalainenXXX100.007230867968869077727376737482800507212712,500,000$
3Timothy Gettinger (R)X100.00704894758584877066676872688077050700261750,000$
4Adam Ruzicka (R)XXX100.00703093728384876978676771647876050690251950,000$
5Josh Dunne (R)X100.007735837383838670756767736773750506902621,000,000$
6Conner Bleackley (R)X100.00726480747677826775656371597471050670281750,000$
7Tim Berni (R)X100.00763085807890916930676580497483050741241650,000$
8Nils LundkvistX100.00673091847087927130706381487472050731241950,000$
9Lucas Carlsson (R)X100.00703088797085877130706375487775050710271950,000$
10Drew Helleson (R)X100.00713082817883846430636272536663050690232950,000$
11Cole Moberg (R)X100.00803083707677776330615069436867050660241475,000$
12Tyler Angle (R)XX100.006430998166848474747272716870720507002431,000,000$
13Blade Jenkins (R)XX100.00753097777775766570636271616968050660241650,000$
14Kody Clark (R)X100.00765075717578766665646368607575050660251800,000$
15Kyle Jackson (R)XX100.00653098767476776670636368606260050650223450,000$
16Mathieu Olivier (R)XX100.00769270698174756563606169576971050650271850,000$
17Ville Ottavainen (R)X100.00783687708182826630676176497067050700223750,000$
18Riley McCourt (R)X100.00663585756779756430616067496660050650242475,000$
TEAM AVERAGE100.0072388778768789746073707563818005073
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
1Ilya Samsonov100.009591928894959595948888949105091N22743,000,000$
Scratches
Farm Team
1Zane McIntyre100.0088878584888686858587868581050840321650,000$
2Vadim Zherenko (R)100.0085798285848685858482826966050800232475,000$
3Jake Kupsky (R)100.0079787687807776757674786864050750291600,000$
TEAM AVERAGE100.008784848687868685858384797605083
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bill Peters77878488908550CAN5912,250,000$


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
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


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
Anthony CirelliNew York RangersC277/15/1997 11:06:45 AMNo180 Lbs6 ft0YesNoN/ANoNo7FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$No4,500,000$5,000,000$5,500,000$6,000,000$5,750,000$5,500,000$---YesYesYesYesYesYes---Link / NHL Link
Austin Watson (1 Way Contract)New York RangersC/LW/RW321/13/1992 3:56:35 AMNo204 Lbs6 ft4NoNoTrade8/1/2024NoNo1FalseFalsePro & Farm750,000$750,000$750,000$No------------------Link / NHL Link
Calle JarnkrokNew York RangersC/LW/RW339/25/1991 8:28:54 AMNo186 Lbs5 ft11NoNoTrade7/17/2024NoNo2FalseFalsePro & Farm4,500,000$4,500,000$4,500,000$No4,000,000$--------No--------Link / NHL Link
Dakota JoshuaNew York RangersC/LW285/15/1996 5:28:30 PMNo199 Lbs6 ft2NoNoTrade10/22/2024NoNo1FalseFalsePro & Farm800,000$800,000$800,000$No------------------Link / NHL Link
Daniel SprongNew York RangersLW/RW273/17/1997 3:02:28 AMNo180 Lbs6 ft0YesNoN/ANoNo2FalseFalsePro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$--------Yes--------Link / NHL Link
Ilya SamsonovNew York RangersG272/22/1997 10:06:05 AMNo200 Lbs6 ft3YesNoN/ANoNo4FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$No3,500,000$4,000,000$4,500,000$------YesYesYes------Link / NHL Link
J.J. MoserNew York RangersD246/6/2000 2:36:48 PMNo173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$950,000$950,000$No------------------NHL Link
Joonas DonskoiNew York RangersLW/RW324/13/1992 4:49:02 AMNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,700,000$2,700,000$2,700,000$No------------------Link / NHL Link
Kristopher LetangNew York RangersD377/12/1987 2:10:27 PMNo201 Lbs6 ft0YesNoN/ANoNo23/26/2024FalseFalsePro & Farm5,750,000$5,750,000$5,750,000$No5,750,000$--------Yes--------Link / NHL Link
Mason PrimeauNew York RangersC237/28/2001 4:42:45 PMYes205 Lbs6 ft5NoNoN/ANoNo37/15/2024FalseFalsePro & Farm750,000$750,000$750,000$No750,000$750,000$-------NoNo-------NHL Link
Matthew BoldyNew York RangersLW/RW234/5/2001 8:39:45 AMNo196 Lbs6 ft2YesNoN/ANoNo87/15/2024FalseFalsePro & Farm2,000,000$2,000,000$2,000,000$No2,500,000$3,000,000$3,500,000$4,000,000$5,000,000$6,000,000$6,750,000$--YesYesYesYesYesYesYes--Link / NHL Link
Morgan FrostNew York RangersC/LW255/14/1999 2:10:46 PMNo170 Lbs5 ft11YesNoN/ANoNo7FalseFalsePro & Farm3,500,000$3,500,000$3,500,000$No4,000,000$4,750,000$5,250,000$5,750,000$6,000,000$6,000,000$---YesYesYesYesYesYes---Link / NHL Link
Nick SuzukiNew York RangersC258/10/1999 5:16:29 PMNo201 Lbs5 ft11YesNoN/ANoNo4FalseFalsePro & Farm3,250,000$3,250,000$3,250,000$No3,750,000$4,750,000$5,750,000$------YesYesYes------Link / NHL Link
Nicklas BackstromNew York RangersC377/12/1987 2:10:27 PMNo210 Lbs6 ft1NoNoTrade7/15/2024NoNo2FalseFalsePro & Farm3,750,000$3,750,000$3,750,000$No1,500,000$--------No--------Link / NHL Link
Peyton KrebsNew York RangersC/LW231/26/2001 2:15:37 PMYes185 Lbs6 ft0NoNoTrade3/23/2024NoNo1FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$No------------------NHL Link
Ryan EllisNew York RangersD331/3/1991 5:12:18 AMNo180 Lbs5 ft10YesNoN/ANoNo5FalseFalsePro & Farm5,250,000$5,250,000$5,250,000$No5,000,000$5,000,000$4,950,000$4,950,000$-----YesYesYesYes-----Link / NHL Link
Ryan GravesNew York RangersD295/21/1995 11:23:56 AMNo226 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm2,750,000$2,750,000$2,750,000$No3,000,000$3,000,000$-------NoNo-------Link / NHL Link
Ryan PoehlingNew York RangersC/LW251/3/1999 1:47:26 PMNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$1,200,000$1,200,000$No------------------Link / NHL Link
Ryan StromeNew York RangersC/RW317/11/1993 9:57:07 AMNo194 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$-------NoNo-------Link / NHL Link
Tyson JostNew York RangersC/LW263/14/1998 4:04:45 AMNo191 Lbs5 ft11NoNoTrade9/25/2024NoNo27/23/2024FalseFalsePro & Farm2,000,000$2,000,000$2,000,000$No2,000,000$--------No--------Link / NHL Link
Will ButcherNew York RangersD291/6/1995 11:07:33 AMNo190 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm2,700,000$2,700,000$2,700,000$No3,000,000$3,300,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.38193 Lbs6 ft13.002,814,286$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
59,100,000$51,750,000$38,550,000$29,450,000$20,700,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan FrostDaniel Sprong35014
2Anthony CirelliNick Suzuki35014
3Peyton KrebsRyan PoehlingRyan Strome25023
4Joonas Donskoi5032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan GravesRyan Ellis40032
2Kristopher LetangWill Butcher40032
3J.J. Moser20140
4Ryan GravesRyan Ellis0113
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan FrostDaniel Sprong50005
2Anthony CirelliNick Suzuki50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Peyton KrebsRyan Ellis50005
2Kristopher LetangRyan Strome50005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joonas Donskoi50041
2Ryan PoehlingRyan Strome50041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Will ButcherRyan Ellis50041
2Ryan GravesKristopher Letang50041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
150050Will ButcherRyan Ellis50050
2Ryan Poehling50050Ryan GravesKristopher Letang50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Anthony CirelliNick Suzuki50014
2Morgan Frost50014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Will ButcherRyan Ellis50032
2Ryan GravesKristopher Letang50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Morgan FrostAnthony CirelliNick SuzukiKristopher LetangRyan Ellis
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan PoehlingRyan StromeRyan GravesWill Butcher
Extra Forwards
Normal PowerPlayPenalty Kill
Anthony Cirelli, Morgan Frost, Morgan Frost, Anthony CirelliRyan Poehling
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Ellis, Will Butcher, Ryan GravesRyan EllisRyan Graves, J.J. Moser
Penalty Shots
, Morgan Frost, Daniel Sprong, Nick Suzuki,
Goalie
#1 : Ilya Samsonov, #2 :
Custom OT Lines Forwards
Anthony Cirelli, Morgan Frost, Nick Suzuki, , Daniel Sprong, , , Peyton Krebs, Ryan Strome, , Ryan Poehling
Custom OT Lines Defensemen
Ryan Ellis, Kristopher Letang, Ryan Graves, Will Butcher, J.J. Moser


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000220040001000
Ticket Price60301510150
Attendance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$18200110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 59,100,000$ 61,052,380$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 34,493,787$ 34,493,787$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 72,500,000$ 72,500,000$ -47,000,000$



Depth Chart

Left WingCenterRight Wing
Matthew BoldyAGE:23PO:0OV:78
Morgan FrostAGE:25PO:0OV:78
Daniel SprongAGE:27PO:0OV:76
Tyson JostAGE:26PO:0OV:75
Ryan PoehlingAGE:25PO:0OV:75
Calle JarnkrokAGE:33PO:0OV:75
Dakota JoshuaAGE:28PO:0OV:74
Peyton Krebs (R)AGE:23PO:0OV:74
Joonas DonskoiAGE:32PO:0OV:73
Austin WatsonAGE:32PO:0OV:72
Arttu RuotsalainenAGE:27PO:0OV:72
Tyler Angle (R)AGE:24PO:0OV:70
Timothy Gettinger (R)AGE:26PO:0OV:70
Adam Ruzicka (R)AGE:25PO:0OV:69
Blade Jenkins (R)AGE:24PO:0OV:66
Kyle Jackson (R)AGE:22PO:0OV:65
Mathieu Olivier (R)AGE:27PO:0OV:65
Anthony CirelliAGE:27PO:0OV:80
Nick SuzukiAGE:25PO:0OV:80
Morgan FrostAGE:25PO:0OV:78
Nicklas BackstromAGE:37PO:0OV:76
Ryan StromeAGE:31PO:0OV:76
Tyson JostAGE:26PO:0OV:75
Ryan PoehlingAGE:25PO:0OV:75
Calle JarnkrokAGE:33PO:0OV:75
Dakota JoshuaAGE:28PO:0OV:74
Jack StudnickaAGE:25PO:0OV:74
Peyton Krebs (R)AGE:23PO:0OV:74
Austin WatsonAGE:32PO:0OV:72
Arttu RuotsalainenAGE:27PO:0OV:72
Tyler Angle (R)AGE:24PO:0OV:70
Adam Ruzicka (R)AGE:25PO:0OV:69
Josh Dunne (R)AGE:26PO:0OV:69
Conner Bleackley (R)AGE:28PO:0OV:67
Blade Jenkins (R)AGE:24PO:0OV:66
Kyle Jackson (R)AGE:22PO:0OV:65
Mason Primeau (R)AGE:23PO:0OV:65
Matthew BoldyAGE:23PO:0OV:78
Daniel SprongAGE:27PO:0OV:76
Ryan StromeAGE:31PO:0OV:76
Calle JarnkrokAGE:33PO:0OV:75
Jack StudnickaAGE:25PO:0OV:74
Joonas DonskoiAGE:32PO:0OV:73
Austin WatsonAGE:32PO:0OV:72
Arttu RuotsalainenAGE:27PO:0OV:72
Adam Ruzicka (R)AGE:25PO:0OV:69
Kody Clark (R)AGE:25PO:0OV:66
Mathieu Olivier (R)AGE:27PO:0OV:65

Defense #1Defense #2Goalie
Kristopher LetangAGE:37PO:0OV:79
Ryan EllisAGE:33PO:0OV:79
Ryan GravesAGE:29PO:0OV:78
Will ButcherAGE:29PO:0OV:77
J.J. MoserAGE:24PO:0OV:74
Tim Berni (R)AGE:24PO:0OV:74
Nils LundkvistAGE:24PO:0OV:73
Lucas Carlsson (R)AGE:27PO:0OV:71
Ville Ottavainen (R)AGE:22PO:0OV:70
Drew Helleson (R)AGE:23PO:0OV:69
Cole Moberg (R)AGE:24PO:0OV:66
Riley McCourt (R)AGE:24PO:0OV:65
Ilya SamsonovAGE:27PO:0OV:91
Zane McIntyreAGE:32PO:0OV:84
Vadim Zherenko (R)AGE:23PO:0OV:80
Jake Kupsky (R)AGE:29PO:0OV:75

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
Abram WiebeNew York Rangers202222310/22/2024Link
Albin ErikssonNew York Rangers201865Link
Alex BeaucageNew York Rangers201980Link
Alex GagneNew York Rangers2021201Link
Alexis GendronNew York Rangers20222167/23/2024Link
Bulat ShafigullinNew York Rangers2018100Link
Carson FochtNew York Rangers2019188Link
Carter GylanderNew York Rangers2019195Link
Connor KelleyNew York Rangers2021202Link
Daniil MisyulNew York Rangers201975Link
Domenic DivincentiisNew York Rangers20221617/24/2024Link
Dominik LakatosNew York Rangers2017167Link
Dylan PetersonNew York Rangers202074Link
Evan FitzpatrickNew York Rangers201649Link
Evgenii KashnikovNew York Rangers2021186Link
Fabian WagnerNew York Rangers2022152Link
Guillaume RichardNew York Rangers2021112Link
Ivan VorobyovNew York Rangers00Link
Jack PhelanNew York Rangers2023167Link
Jan BednarNew York Rangers202094Link
Joel NystromNew York Rangers2021206Link
Jon-Randall AvonNew York Rangers00Link
Kristian VesalainenNew York Rangers00Link
Kyle PettitNew York Rangers2014179Link
Lane ZablockiNew York Rangers2017108Link
Maksim BerezkinNew York Rangers20201447/23/2024Link
Mathew HillNew York Rangers2019210Link
Nicolas MattinenNew York Rangers2016175Link
Oskari LaaksonenNew York Rangers00Link
Patrick HarperNew York Rangers2016162Link
Paul BittnerNew York Rangers00Link
Reilly WebbNew York Rangers2017197Link
Riley HughesNew York Rangers2018197Link
Ryan GreeneNew York Rangers202279Link
Samuel LipkinNew York Rangers2021217Link
Sergei BoikovNew York Rangers00Link
Shane LachanceNew York Rangers2021212Link
Stephen DesrocherNew York Rangers2015121Link
Taylor MakarNew York Rangers2021204Link
Tobias GeisserNew York Rangers2017117Link
Tyler WeissNew York Rangers2018103Link
Tyson DyckNew York Rangers2022192Link
Tyson KozakNew York Rangers2021214Link
Vaclav KarabacekNew York Rangers00Link
Viktor LodinNew York Rangers2019139Link
Vili SaarjiarviNew York Rangers00Link
Vladimir BobylevNew York Rangers2016137Link
Wyatt SchingoetheNew York Rangers202021210/22/2024Link

Draft Picks

Year R1R2R3R4R5R6R7
2025
2026
2027
2028
2029
Conditional Draft Picks



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


New York Rangers Trade History

[10/22/2024 1:21:24 PM] - TRADE : From Pittsburgh Penguins to New York Rangers : Dakota Joshua (74), Abram Wiebe (P), Wyatt Schingoethe (P).
[10/22/2024 1:21:24 PM] - TRADE : From New York Rangers to Pittsburgh Penguins : Pontus Holmberg (71), Y:2027-RND:2-NYR, Y:2029-RND:7-NYR.
[9/25/2024 1:50:06 PM] - TRADE : From Pittsburgh Penguins to New York Rangers : Tyson Jost (75).
[9/25/2024 1:50:06 PM] - TRADE : From New York Rangers to Pittsburgh Penguins : Curtis Douglas (71), Y:2028-RND:3-NYR.
[8/9/2024 9:57:57 AM] - Kyle Jackson was added to New York Rangers.
[8/9/2024 9:51:13 AM] - Ville Ottavainen was added to New York Rangers.
[8/1/2024 8:25:30 PM] - TRADE : From Seattle Kraken to New York Rangers : Austin Watson (72).
[8/1/2024 8:25:30 PM] - TRADE : From New York Rangers to Seattle Kraken : Mark Pysyk (74).
[7/24/2024 9:38:56 PM] - TRADE : From New York Rangers to New York Islanders : MacKenzie Blackwood (90), Y:2027-RND:6-NYR.
[7/24/2024 9:38:56 PM] - TRADE : From New York Islanders to New York Rangers : Nils Lundkvist (73), Domenic Divincentiis (P).
[7/23/2024 12:56:52 PM] - TRADE : From New York Rangers to Colorado Avalanche : Morgan Geekie (73), Y:2028-RND:5-NYR.
[7/23/2024 12:56:52 PM] - TRADE : From Colorado Avalanche to New York Rangers : Jack Studnicka (74), Alexis Gendron (P), Maksim Berezkin (P).
[7/17/2024 2:52:27 PM] - TRADE : From New York Rangers to Nashville Predators : Y:2026-RND:2-NYR.
[7/17/2024 2:52:27 PM] - TRADE : From Nashville Predators to New York Rangers : Calle Jarnkrok (75).



[10/22/2024 1:21:24 PM] TRADE : From Pittsburgh Penguins to New York Rangers : Dakota Joshua (74), Abram Wiebe (P), Wyatt Schingoethe (P).
[10/22/2024 1:21:24 PM] TRADE : From New York Rangers to Pittsburgh Penguins : Pontus Holmberg (71), Y:2027-RND:2-NYR, Y:2029-RND:7-NYR.
[10/14/2024 4:08:02 PM] North Bay Icemen roster errors : Not enough Forward available in Farm Team! 7 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 12 Dressed. 18 Required. Some errors will be automatically fixed.
[10/14/2024 4:08:02 PM] 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.
[10/9/2024 2:12:37 PM] $5,000,000 was added to New York Rangers bank account.
[9/25/2024 1:50:06 PM] TRADE : From Pittsburgh Penguins to New York Rangers : Tyson Jost (75).
[9/25/2024 1:50:06 PM] TRADE : From New York Rangers to Pittsburgh Penguins : Curtis Douglas (71), Y:2028-RND:3-NYR.
[9/4/2024 10:42:59 AM] North Bay Icemen roster errors : Not enough Forward available in Farm Team! 8 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 13 Dressed. 18 Required. Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[9/4/2024 10:42:59 AM] 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.



No Injury or Suspension.


New York Rangers Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Morgan Frost1615885143232415639253610.82%22317519.73926357100008647.86%10.9026
2Ryan Ellis1643690126-278226225932411.11%252387823.652534591780000430%00.6500
3Daniel Sprong1645462116-22612127545211.95%21323619.7416203680000013135.51%00.72312
4Matthew Boldy1645756113-95626021856510.09%27328420.0315153010300008643.60%00.6913
5Nick Suzuki1624171112-27281552734748.65%21316519.54526318300009347.74%00.7123

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
1Ilya Samsonov893427120.9062.9244544521723120120.68419
2Matt Murray65282620.9003.0033388316716650140.8336
3MacKenzie Blackwood41171320.9132.58188541819320000.58817

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
202282314004520247260-1341181803110132124841132201410115136-2179247438685559373757245981379583720250776241718002335925.32%1873581.28%31357279048.64%1310281146.60%623130747.67%1937136419705781034514
202382342904546236238-241171302423123123041171602123113115-2952364246601474797516257382484486182255376746516822255424.00%2113085.78%01510286952.63%1480289051.21%650125052.00%1991140119705801023512
Total Regular Season1646569081066483498-1582353105533255247882303803533228251-2317448386213456916715215023503216371639169810250601529882348245811324.67%3986583.67%32867565950.66%2790570148.94%1273255749.78%392827653941115920571026
Playoff
202340400000917-82020000058-32020000049-509152410423014948524901142932831218.33%16568.75%07517243.60%6412750.39%336154.10%1037189295326
Total Playoff40400000917-82020000058-32020000049-509152410423014948524901142932831218.33%16568.75%07517243.60%6412750.39%336154.10%1037189295326

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
1Kristopher Letang4213-2493825.00%79523.9710160000000%00.6300
2Will Butcher4123-2434425.00%38521.4800000000000%00.7000
3Mark Pysyk42021042450.00%24912.3600000000000%00.8100
4Daniel Sprong40221436160%17919.87011100000050.00%00.5000
5Dominik Kahun41121000520.00%1164.0800000000000%02.4500

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
1MacKenzie Blackwood20110.8534.41680053401000
2Ilya Samsonov40200.8613.7317720117900100