Rangers de New York

GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 16 | GA: 14 | PP%: 17.39% | PK%: 50.00%
GM : Alexandre Gagne | Morale : 40 | Team Overall : 70
Next Games #103 vs Devils du New Jersey
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Mika Zibanejad (A)X100.008155838983859485888786808369708540810
2Brayden PointXX100.006340899560809888869296616364658640790
3Artemi PanarinX100.005950909262849783319785528066678140760
4Josh AndersonX100.009160798082769169356984762562637940730
5Dylan StromeX100.005941917971739280818377592560607540720
6Cal Clutterbuck (C)X100.009447827576679269396660864580827140710
7Trevor LewisXXX100.007757937476677363516558762573776640670
8Marcus SorensenX100.007653907965658560376372672556577040660
9Tim SchallerXX100.007957937878588260446257802559606640660
10Robert Thomas (R)XX100.005941938168657767517764562552526840650
11Brendan LemieuxXX100.008599557779547960355871607559596740640
12Andrew MangiapaneXX100.007543917865577162566071612558586940640
13Kaapo Kakko (R)X100.005451897175789072655476558025259540640
14Marc Staal (A)X100.007744877878789359255148942579846540750
15Brett PesceX100.006943898376818658256550858066666740720
16Shea TheodoreX100.006141918473809180256658657559616840700
17Jordan OesterleX100.007142947767788072255549772558586440690
18Travis SanheimX100.006542918070796768256651762555566540680
19Brendan SmithXX100.008176697679677661255248722570726140680
20Dante FabbroX100.005853726872657858256144734644449040630
Scratches
TEAM AVERAGE100.00725286807372856944676571456162734070
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 SP
1Henrik Lundqvist100.00778786687976577977779382887640750
2Jonathan Bernier100.00646666676464556573656866676540650
Scratches
TEAM AVERAGE100.0071777668727056727571817478714070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
David Quinn50505050505050USA5112,500,000$


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
1Mika ZibanejadRangers de New YorkC35493001213182927.78%17926.48112821000081061.59%13800002.2700000120
2Brayden PointRangers de New YorkC/RW342620015124833.33%07625.38101320000091060.87%2300011.5800000010
3Shea TheodoreRangers de New YorkD3066200319340.00%46722.3701171800008000.00%000001.7900000000
4Artemi PanarinRangers de New YorkLW31450000243825.00%05418.27033121000040011.11%900001.8200000001
5Dante FabbroRangers de New YorkD31342004120150.00%33913.320000000001000.00%000002.0000000000
6Cal ClutterbuckRangers de New YorkRW31233204141225.00%03110.6200000000030150.00%200001.8800000001
7Travis SanheimRangers de New YorkD3022540344020.00%35518.6600041100004000.00%000000.7100000000
8Josh AndersonRangers de New YorkRW3022-160818070.00%06120.3801131800001000.00%300000.6500000000
9Brett PesceRangers de New YorkD4022-120035000.00%46015.030114900002000.00%000000.6700000000
10Marcus SorensenRangers de New YorkLW3011240100030.00%0227.3400000000000050.00%200000.9100000000
11Marc StaalRangers de New YorkD31010206473114.29%67324.4610132100008000.00%000000.2700000000
12Dylan StromeRangers de New YorkC3101-1000562216.67%06020.12000218000010054.12%8500000.3300000000
13Brendan LemieuxRangers de New YorkLW/RW3011100000000.00%031.19000010000000100.00%100005.5800000000
14Andrew MangiapaneRangers de New YorkC/LW5011000612120.00%0265.300000000000000.00%200000.7500000000
15Jordan OesterleRangers de New YorkD3000-220330000.00%25317.820000700003000.00%000000.0000000000
16Robert ThomasRangers de New YorkC/RW4000-100021020.00%0235.8000000000000018.18%1100000.0000000000
17Brendan SmithRangers de New YorkLW/D1000100112000.00%01717.930001600000000.00%100000.0000000000
18Tim SchallerRangers de New YorkC/LW1000100000000.00%088.250000000000000.00%000000.0000000000
19Trevor LewisRangers de New YorkC/LW/RW1000100000010.00%088.2500000000000022.22%900000.0000000000
20Taro HiroseWolfpack de Hartford (NYR)LW2000000000000.00%000.280000000000000.00%000000.0000000000
21Kaapo KakkoRangers de New YorkRW3000200001110.00%0217.270000000000000.00%000000.0000000000
Team Total or Average6014304419220524785205316.47%2384514.103710361770000582153.50%28600011.0400000132
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
1Henrik LundqvistRangers de New York32000.8244.831490012680100.000030000
2Joonas KorpisaloWolfpack de Hartford (NYR)10100.9264.0030002270000.000002000
Team Total or Average42100.8534.671800014950100.000032000


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 Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Andrew MangiapaneRangers de New YorkC/LW231996-04-04No184 Lbs5 ft10NoNoNo1RFAPro & Farm705,000$0$0$NoLink
Artemi PanarinRangers de New YorkLW271991-10-30No168 Lbs5 ft11NoNoNo1RFAPro & Farm6,000,000$0$0$NoLink
Brayden PointRangers de New YorkC/RW231996-03-13No166 Lbs5 ft10NoNoNo1RFAPro & Farm686,667$0$0$NoLink
Brendan LemieuxRangers de New YorkLW/RW231996-03-14No210 Lbs6 ft1NoNoNo1RFAPro & Farm839,167$0$0$NoLink
Brendan SmithRangers de New YorkLW/D301989-02-07No211 Lbs6 ft2NoNoNo3UFAPro & Farm4,350,000$0$0$NoLink
Brett PesceRangers de New YorkD241994-11-15No200 Lbs6 ft3NoNoNo6RFAPro & Farm4,025,000$0$0$NoLink
Cal ClutterbuckRangers de New YorkRW311987-11-18No216 Lbs5 ft11NoNoNo4UFAPro & Farm3,500,000$0$0$NoLink
Dante FabbroRangers de New YorkD211998-06-20 16:31:35No189 Lbs6 ft5NoNoNo1ELCPro & Farm0$0$No
Dylan StromeRangers de New YorkC221997-03-07No185 Lbs6 ft3NoNoNo2ELCPro & Farm863,333$0$0$NoLink
Henrik LundqvistRangers de New YorkG371982-03-01No180 Lbs6 ft1NoNoNo3UFAPro & Farm8,500,000$0$0$NoLink
Jonathan BernierRangers de New YorkG311988-08-07No184 Lbs6 ft0NoNoNo3UFAPro & Farm3,000,000$0$0$NoLink
Jordan OesterleRangers de New YorkD271992-06-24No182 Lbs6 ft0NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Josh AndersonRangers de New YorkRW251994-05-06No221 Lbs6 ft3NoNoNo2RFAPro & Farm1,850,000$0$0$NoLink
Kaapo KakkoRangers de New YorkRW182001-02-13 17:35:03Yes193 Lbs6 ft5NoNoNo1ELCPro & Farm0$0$No
Marc StaalRangers de New YorkD321987-01-12No209 Lbs6 ft4NoNoNo3UFAPro & Farm5,700,000$0$0$NoLink
Marcus SorensenRangers de New YorkLW271992-04-07No175 Lbs5 ft11NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Mika ZibanejadRangers de New YorkC261993-04-18No227 Lbs6 ft2NoNoNo4RFAPro & Farm5,350,000$0$0$NoLink
Robert ThomasRangers de New YorkC/RW201999-07-02Yes188 Lbs6 ft0NoNoNo3ELCPro & Farm894,166$0$0$NoLink
Shea TheodoreRangers de New YorkD241995-08-03No195 Lbs6 ft2NoNoNo6RFAPro & Farm5,200,000$0$0$NoLink
Tim SchallerRangers de New YorkC/LW281990-11-16No210 Lbs6 ft2NoNoNo2UFAPro & Farm1,900,000$0$0$NoLink
Travis SanheimRangers de New YorkD231996-03-28No181 Lbs6 ft3NoNoNo1RFAPro & Farm863,333$0$0$NoLink
Trevor LewisRangers de New YorkC/LW/RW321987-01-07No205 Lbs6 ft1NoNoNo2UFAPro & Farm2,000,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2226.09195 Lbs6 ft12.362,617,121$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
57,576,666$47,132,499$40,519,166$18,075,000$9,225,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Artemi PanarinMika ZibanejadBrayden Point40122
2Brendan SmithDylan StromeJosh Anderson30122
3Tim SchallerTrevor LewisCal Clutterbuck20122
4Marcus SorensenRobert ThomasKaapo Kakko10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalBrett Pesce40122
2Shea TheodoreJordan Oesterle30122
3Travis SanheimDante Fabbro20122
4Marc StaalBrett Pesce10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Artemi PanarinMika ZibanejadBrayden Point60122
2Brendan SmithDylan StromeJosh Anderson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalBrett Pesce60122
2Shea TheodoreJordan Oesterle40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadBrayden Point60122
2Artemi PanarinJosh Anderson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalBrett Pesce60122
2Shea TheodoreJordan Oesterle40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mika Zibanejad60122Marc StaalBrett Pesce60122
2Brayden Point40122Shea TheodoreJordan Oesterle40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadBrayden Point60122
2Artemi PanarinJosh Anderson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalBrett Pesce60122
2Shea TheodoreJordan Oesterle40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Artemi PanarinMika ZibanejadBrayden PointMarc StaalBrett Pesce
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Artemi PanarinMika ZibanejadBrayden PointMarc StaalBrett Pesce
Extra Forwards
Normal PowerPlayPenalty Kill
Brendan Lemieux, Andrew Mangiapane, Cal ClutterbuckBrendan Lemieux, Andrew MangiapaneCal Clutterbuck
Extra Defensemen
Normal PowerPlayPenalty Kill
Travis Sanheim, Dante Fabbro, Brendan SmithTravis SanheimDante Fabbro, Brendan Smith
Penalty Shots
Mika Zibanejad, Brayden Point, Artemi Panarin, Josh Anderson, Dylan Strome
Goalie
#1 : Henrik Lundqvist, #2 : Jonathan Bernier
Custom OT Lines Forwards
Mika Zibanejad, Brayden Point, Artemi Panarin, Josh Anderson, Dylan Strome, Cal Clutterbuck, Cal Clutterbuck, Brendan Smith, Trevor Lewis, Tim Schaller, Marcus Sorensen
Custom OT Lines Defensemen
Marc Staal, Brett Pesce, Shea Theodore, Jordan Oesterle, Travis Sanheim


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
1Jets de Winnipeg11000000743110000007430000000000021.000713200042103591610025810247228.57%5180.00%06011950.42%6010955.05%325855.17%2619226115
2Oilers d'Edmonton11000000541110000005410000000000021.000510150021203510111403288199111.11%3233.33%06011950.42%6010955.05%325855.17%2518227115
3Sénateurs d'Ottawa1010000046-2000000000001010000046-200.000481200202026899038710177114.29%4325.00%06011950.42%6010955.05%325855.17%2517236115
Total32100000161422200000012841010000046-240.6671631470083509627363309523286023417.39%12650.00%06011950.42%6010955.05%325855.17%775567213417
_Since Last GM Reset32100000161422200000012841010000046-240.6671631470083509627363309523286023417.39%12650.00%06011950.42%6010955.05%325855.17%775567213417
_Vs Conference1010000046-2000000000001010000046-200.000481200202026899038710177114.29%4325.00%06011950.42%6010955.05%325855.17%2517236115

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34W1163147969523286000
All Games
GPWLOTWOTL SOWSOLGFGA
32100001614
Home Games
GPWLOTWOTL SOWSOLGFGA
2200000128
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000046
Last 10 Games
WLOTWOTL SOWSOL
210000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23417.39%12650.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27363308350
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6011950.42%6010955.05%325855.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
775567213417


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
2 - 2019-08-1710Jets de Winnipeg4Rangers de New York7WBoxScore
4 - 2019-08-1926Rangers de New York4Sénateurs d'Ottawa6LBoxScore
11 - 2019-08-2671Oilers d'Edmonton4Rangers de New York5WBoxScore
16 - 2019-08-31103Rangers de New York-Devils du New Jersey-
17 - 2019-09-01112Rangers de New York-Capitals de Washington-
19 - 2019-09-03127Canucks de Vancouver-Rangers de New York-
21 - 2019-09-05141Coyotes de l'Arizona-Rangers de New York-
23 - 2019-09-07153Sabres de Buffalo-Rangers de New York-
26 - 2019-09-10174Bruins de Boston-Rangers de New York-
28 - 2019-09-12185Lightning de Tampa Bay-Rangers de New York-
32 - 2019-09-16213Rangers de New York-Predators de Nashville-
34 - 2019-09-18223Sénateurs d'Ottawa-Rangers de New York-
36 - 2019-09-20236Red Wings de Détroit-Rangers de New York-
37 - 2019-09-21238Rangers de New York-Hurricanes de la Caroline-
40 - 2019-09-24267Panthers de la Floride-Rangers de New York-
42 - 2019-09-26276Penguins de Pittsburgh-Rangers de New York-
44 - 2019-09-28292Rangers de New York-Lightning de Tampa Bay-
46 - 2019-09-30303Rangers de New York-Panthers de la Floride-
50 - 2019-10-04332Capitals de Washington-Rangers de New York-
52 - 2019-10-06346Rangers de New York-Sénateurs d'Ottawa-
53 - 2019-10-07353Rangers de New York-Canadiens de Montréal-
55 - 2019-10-09370Wild du Minnesota-Rangers de New York-
57 - 2019-10-11384Hurricanes de la Caroline-Rangers de New York-
59 - 2019-10-13392Rangers de New York-Bruins de Boston-
60 - 2019-10-14411Rangers de New York-Devils du New Jersey-
62 - 2019-10-16423Golden Knights de Vegas-Rangers de New York-
65 - 2019-10-19440Rangers de New York-Blue Jackets de Columbus-
66 - 2019-10-20450Canadiens de Montréal-Rangers de New York-
68 - 2019-10-22466Rangers de New York-Golden Knights de Vegas-
70 - 2019-10-24477Rangers de New York-Kings de Los Angeles-
72 - 2019-10-26495Rangers de New York-Sharks de San José-
74 - 2019-10-28501Rangers de New York-Ducks d'Anaheim-
76 - 2019-10-30522Predators de Nashville-Rangers de New York-
80 - 2019-11-03551Maple Leafs de Toronto-Rangers de New York-
82 - 2019-11-05567Ducks d'Anaheim-Rangers de New York-
83 - 2019-11-06576Rangers de New York-Flyers de Philadelphie-
87 - 2019-11-10589Hurricanes de la Caroline-Rangers de New York-
88 - 2019-11-11599Rangers de New York-Maple Leafs de Toronto-
91 - 2019-11-14620Rangers de New York-Oilers d'Edmonton-
93 - 2019-11-16630Rangers de New York-Flames de Calgary-
95 - 2019-11-18651Rangers de New York-Canucks de Vancouver-
98 - 2019-11-21670Avalanche du Colorado-Rangers de New York-
100 - 2019-11-23684Devils du New Jersey-Rangers de New York-
102 - 2019-11-25700Rangers de New York-Blues de Saint-Louis-
104 - 2019-11-27710Islanders de New York-Rangers de New York-
107 - 2019-11-30734Rangers de New York-Islanders de New York-
110 - 2019-12-03757Blue Jackets de Columbus-Rangers de New York-
112 - 2019-12-05764Islanders de New York-Rangers de New York-
122 - 2019-12-15788Red Wings de Détroit-Rangers de New York-
123 - 2019-12-16795Rangers de New York-Red Wings de Détroit-
125 - 2019-12-18810Stars de Dallas-Rangers de New York-
127 - 2019-12-20826Maple Leafs de Toronto-Rangers de New York-
129 - 2019-12-22841Sabres de Buffalo-Rangers de New York-
131 - 2019-12-24858Kings de Los Angeles-Rangers de New York-
133 - 2019-12-26876Rangers de New York-Jets de Winnipeg-
135 - 2019-12-28884Rangers de New York-Wild du Minnesota-
136 - 2019-12-29892Rangers de New York-Blue Jackets de Columbus-
138 - 2019-12-31910Bruins de Boston-Rangers de New York-
141 - 2020-01-03928Rangers de New York-Blackhawks de Chicago-
143 - 2020-01-05942Rangers de New York-Hurricanes de la Caroline-
144 - 2020-01-06952Sharks de San José-Rangers de New York-
147 - 2020-01-09976Rangers de New York-Islanders de New York-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2020-01-11987Rangers de New York-Canadiens de Montréal-
150 - 2020-01-12997Rangers de New York-Flyers de Philadelphie-
152 - 2020-01-141015Flyers de Philadelphie-Rangers de New York-
154 - 2020-01-161023Blues de Saint-Louis-Rangers de New York-
156 - 2020-01-181038Capitals de Washington-Rangers de New York-
158 - 2020-01-201055Devils du New Jersey-Rangers de New York-
161 - 2020-01-231071Rangers de New York-Stars de Dallas-
162 - 2020-01-241080Rangers de New York-Avalanche du Colorado-
165 - 2020-01-271098Rangers de New York-Coyotes de l'Arizona-
167 - 2020-01-291121Flames de Calgary-Rangers de New York-
169 - 2020-01-311134Penguins de Pittsburgh-Rangers de New York-
171 - 2020-02-021150Rangers de New York-Penguins de Pittsburgh-
173 - 2020-02-041164Rangers de New York-Sabres de Buffalo-
175 - 2020-02-061180Blue Jackets de Columbus-Rangers de New York-
177 - 2020-02-081198Rangers de New York-Capitals de Washington-
179 - 2020-02-101214Rangers de New York-Lightning de Tampa Bay-
181 - 2020-02-121227Rangers de New York-Panthers de la Floride-
183 - 2020-02-141241Flyers de Philadelphie-Rangers de New York-
184 - 2020-02-151250Rangers de New York-Penguins de Pittsburgh-
186 - 2020-02-171267Blackhawks de Chicago-Rangers de New York-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
39 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 57,576,666$ 57,576,666$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 172 309,552$ 53,242,944$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
55,165,904$ 0$ 10,000,000$ -45,165,904$



Depth Chart

Left WingCenterRight Wing
Artemi PanarinAGE:27PO:81OV:76
Brendan SmithAGE:30PO:61OV:68
Trevor LewisAGE:32PO:66OV:67
Marcus SorensenAGE:27PO:70OV:66
Tim SchallerAGE:28PO:66OV:66
Andrew MangiapaneAGE:23PO:69OV:64
Brendan LemieuxAGE:23PO:67OV:64
Boo NievesAGE:25PO:65OV:63
Greg McKeggAGE:27PO:67OV:62
Lukas SedlakAGE:26PO:65OV:62
*Filip ZadinaAGE:19PO:65OV:62
Daniel O'ReganAGE:25PO:64OV:62
*Taro HiroseAGE:23PO:65OV:60
*Timothy GettingerAGE:21PO:63OV:60
Matt BeleskeyAGE:31PO:59OV:60
*Ville MeskanenAGE:24PO:61OV:59
Ryan GroppAGE:23PO:61OV:58
Phillip Di GiuseppeAGE:26PO:60OV:58
Dawson LeedahlAGE:23PO:52OV:53
Mika ZibanejadAGE:26PO:85OV:81
Brayden PointAGE:23PO:86OV:79
Dylan StromeAGE:22PO:75OV:72
Trevor LewisAGE:32PO:66OV:67
Tim SchallerAGE:28PO:66OV:66
*Robert ThomasAGE:20PO:68OV:65
Andrew MangiapaneAGE:23PO:69OV:64
Boo NievesAGE:25PO:65OV:63
Greg McKeggAGE:27PO:67OV:62
Lukas SedlakAGE:26PO:65OV:62
Daniel O'ReganAGE:25PO:64OV:62
Jack RoslovicAGE:22PO:64OV:61
Emil PetterssonAGE:25PO:63OV:60
Gabriel FontaineAGE:22PO:62OV:60
Steven FogartyAGE:26PO:58OV:55
Brayden PointAGE:23PO:86OV:79
Josh AndersonAGE:25PO:79OV:73
Cal ClutterbuckAGE:31PO:71OV:71
Trevor LewisAGE:32PO:66OV:67
*Robert ThomasAGE:20PO:68OV:65
*Kaapo KakkoAGE:18PO:95OV:64
Brendan LemieuxAGE:23PO:67OV:64
Lukas SedlakAGE:26PO:65OV:62
*Filip ZadinaAGE:19PO:65OV:62
Jack RoslovicAGE:22PO:64OV:61
*Timothy GettingerAGE:21PO:63OV:60
*Ville MeskanenAGE:24PO:61OV:59
Steven FogartyAGE:26PO:58OV:55
*Ty RonningAGE:21PO:57OV:54

Defense #1Defense #2Goalie
Marc StaalAGE:32PO:65OV:75
Brett PesceAGE:24PO:67OV:72
Shea TheodoreAGE:24PO:68OV:70
Jordan OesterleAGE:27PO:64OV:69
Travis SanheimAGE:23PO:65OV:68
Brendan SmithAGE:30PO:61OV:68
Dante FabbroAGE:21PO:90OV:63
Adam FoxAGE:25PO:90OV:58
*Sean DayAGE:21PO:54OV:58
Brandon CrawleyAGE:22PO:53OV:58
*Ryan LindgrenAGE:21PO:50OV:55
Henrik LundqvistAGE:37PO:76OV:75
Jonathan BernierAGE:31PO:65OV:65
Joonas KorpisaloAGE:25PO:61OV:59
*Adam HuskaAGE:22PO:47OV:50

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
Prospect Team NameDraft Year Overall Pick Information Lien

Draft Picks

Year R1R2R3R4R5
2NYR NYR NYR NYR NYR
3NYR NYR NYR NYR NYR
4NYR NYR NYR NYR NYR
5NYR NYR NYR NYR NYR
6NYR NYR NYR NYR NYR



[2019-10-13 01:16:17] - TRADE : From Coyotes de l'Arizona to Rangers de New York : Emil Pettersson (60).
[2019-10-13 01:12:40] - TRADE : From Blue Jackets de Columbus to Rangers de New York : Lukas Sedlak (62).
[2019-10-13 00:32:11] - TRADE : From Flames de Calgary to Rangers de New York : Andrew Mangiapane (64).
[2019-10-10 00:33:16] - TRADE : From Canucks de Vancouver to Rangers de New York : Jordan Oesterle (69), Trevor Lewis (65), Tim Schaller (64).
[2019-10-10 00:33:16] - TRADE : From Rangers de New York to Canucks de Vancouver : Jonathan Ericsson (72), Darren Raddysh (63).
[2019-10-10 00:19:01] - TRADE : From Red Wings de Détroit to Rangers de New York : Brett Pesce (72).
[2019-10-10 00:19:01] - TRADE : From Rangers de New York to Red Wings de Détroit : Tyler Bertuzzi (70).
[2019-10-10 00:12:53] - TRADE : From Rangers de New York to Blues de Saint-Louis : Josh Bailey (73).
[2019-10-10 00:12:53] - TRADE : From Blues de Saint-Louis to Rangers de New York : Robert Thomas (65), Jack Roslovic (61).
[2019-10-03 23:28:57] - New Record for Team's Most Hits (24) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] - New Record for Team's Most Penalties Minutes (10) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] - New Record for Team's Most Shots Blocked (8) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] - New Record for Team's Most Shots (35) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] - New Record for Team's Most Points (20) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] - New Record for Team's Most Assists (13) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] - New Record for Team's Most Goals (7) in 1 Game for Rangers de New York!
[2019-10-02 23:07:17] - Marc Staal has been selected as assistant for Rangers de New York.
[2019-10-02 23:07:17] - Unknown Player is no longer as assistant for Rangers de New York.
[2019-10-02 23:07:17] - Mika Zibanejad has been selected as assistant for Rangers de New York.
[2019-10-02 23:07:17] - Unknown Player is no longer as assistant for Rangers de New York.
[2019-10-02 23:07:17] - Cal Clutterbuck has been selected as captain for Rangers de New York.
[2019-10-02 23:07:17] - Unknown Player is no longer captain for Rangers de New York.
[2019-10-02 16:28:45] - TRADE : From Rangers de New York to Kings de Los Angeles : Anthony DeAngelo (70).
[2019-10-02 16:25:44] - TRADE : From Rangers de New York to Sharks de San José : Dustin Byfuglien (77).
[2019-10-02 16:25:44] - TRADE : From Sharks de San José to Rangers de New York : Jonathan Ericsson (72), Tyler Bertuzzi (70).
[2019-10-02 16:25:13] - TRADE : From Golden Knights de Vegas to Rangers de New York : Shea Theodore (70).
[2019-10-02 14:51:04] - Team Name Change : Wolf Pack de Hartford changed name to Wolfpack de Hartford
[2019-09-18 17:20:05] - General Manager Change : Rangers de New York hired general manager Alexandre Gagne
[2019-09-18 17:20:05] - General Manager Change : Rangers de New York fired general manager Félix Mallette
[2019-09-07 14:57:39] - TRADE : From Rangers de New York to Avalanche du Colorado : Vincent Trocheck (75).
[2019-09-07 14:57:39] - TRADE : From Avalanche du Colorado to Rangers de New York : Josh Bailey (73).
[2019-09-07 14:53:13] - TRADE : From Rangers de New York to Islanders de New York : Alexandar Georgiev (67).
[2019-09-07 14:53:13] - TRADE : From Islanders de New York to Rangers de New York : Dante Fabbro (63).
[2019-09-07 14:52:13] - TRADE : From Islanders de New York to Rangers de New York : Adam Fox (59), Dylan Strome (72).
[2019-09-07 14:29:38] - TRADE : From Islanders de New York to Rangers de New York : Joonas Korpisalo (61).
[2019-09-07 14:27:45] - TRADE : From Rangers de New York to Hurricanes de la Caroline : Jacob Trouba (77), Libor Hajek (57).
[2019-09-07 14:27:21] - TRADE : From Rangers de New York to Red Wings de Détroit : Filip Chytil (66), Sven Baertschi (69).
[2019-09-07 14:27:21] - TRADE : From Red Wings de Détroit to Rangers de New York : Brayden Point (79), Taro Hirose (60).
[2019-09-07 14:26:31] - TRADE : From Rangers de New York to Kings de Los Angeles : Igor Shesterkin (80), Oskar Lindblom (68).
[2019-09-06 18:06:57] - TRADE : From Rangers de New York to Lightning de Tampa Bay : Vladislav Namestnikov (71), Jake Virtanen (68).
[2019-09-06 18:06:57] - TRADE : From Lightning de Tampa Bay to Rangers de New York : Filip Zadina (63).
[2019-08-27 23:38:59] - Igor Shesterkin was added to Rangers de New York.
[2019-08-27 23:36:27] - Kaapo Kakko was added to Rangers de New York.
[2019-08-14 22:48:24] - Wolf Pack de Hartford hired Kris Knoblauch for 500 000 $ for 1 year(s).
[2019-08-14 22:47:55] - Rangers de New York hired David Quinn for 2 500 000 $ for 1 year(s).
[2019-08-13 15:31:12] - Boo Nieves was added to Rangers de New York.



[2019-10-13 01:50:03] Both Rangers de New York and Wolfpack de Hartford lines for next game are empty. Current rosters/lines are not erased.
[2019-10-13 01:50:02] Greg McKegg from Wolfpack de Hartford has scored a Hat Trick!
[2019-10-13 01:50:02] Boo Nieves from Wolfpack de Hartford has scored a Hat Trick!
[2019-10-13 01:49:47] Auto Lines Farm Function has been run for Wolfpack de Hartford.
[2019-10-13 01:49:43] Auto Lines Function has been run for Rangers de New York.
[2019-10-13 01:49:37] Auto Roster Function has been run for Rangers de New York.
[2019-10-13 01:49:37] Joonas Korpisalo of Rangers de New York was sent to farm.
[2019-10-13 01:49:37] Jonathan Bernier of Rangers de New York was sent to pro.
[2019-10-13 01:49:37] Taro Hirose of Rangers de New York was sent to farm.
[2019-10-13 01:49:37] Tim Schaller of Rangers de New York was sent to pro.
[2019-10-13 01:49:00] Auto Lines Function has been run for Rangers de New York.
[2019-10-13 01:49:00] Auto Roster Partial Function has been run for Rangers de New York.
[2019-10-13 01:49:00] Trevor Lewis of Rangers de New York was sent to pro.
[2019-10-13 01:49:00] Brendan Smith of Rangers de New York was sent to pro.
[2019-10-13 01:16:17] TRADE : From Coyotes de l'Arizona to Rangers de New York : Emil Pettersson (60).
[2019-10-13 01:12:40] TRADE : From Blue Jackets de Columbus to Rangers de New York : Lukas Sedlak (62).
[2019-10-13 00:32:11] TRADE : From Flames de Calgary to Rangers de New York : Andrew Mangiapane (64).
[2019-10-10 00:33:16] TRADE : From Canucks de Vancouver to Rangers de New York : Jordan Oesterle (69), Trevor Lewis (65), Tim Schaller (64).
[2019-10-10 00:33:16] TRADE : From Rangers de New York to Canucks de Vancouver : Jonathan Ericsson (72), Darren Raddysh (63).
[2019-10-10 00:19:01] TRADE : From Red Wings de Détroit to Rangers de New York : Brett Pesce (72).
[2019-10-10 00:19:01] TRADE : From Rangers de New York to Red Wings de Détroit : Tyler Bertuzzi (70).
[2019-10-10 00:12:53] TRADE : From Rangers de New York to Blues de Saint-Louis : Josh Bailey (73).
[2019-10-10 00:12:53] TRADE : From Blues de Saint-Louis to Rangers de New York : Robert Thomas (65), Jack Roslovic (61).
[2019-10-09 01:15:46] Last 7 Days Pro Star : 1 - Justin Faulk of Hurricanes de la Caroline (3-5-8) / 2 - Sidney Crosby of Penguins de Pittsburgh (5-2-7) / 3 - Mika Zibanejad of Rangers de New York (4-3-7)
[2019-10-06 00:19:29] Both Rangers de New York and Wolfpack de Hartford lines for next game are empty. Current rosters/lines are not erased.
[2019-10-03 23:28:58] Both Rangers de New York and Wolfpack de Hartford lines for next game are empty. Current rosters/lines are not erased.
[2019-10-03 23:28:57] New Record for Team's Most Hits (24) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] New Record for Team's Most Penalties Minutes (10) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] New Record for Team's Most Shots Blocked (8) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] New Record for Team's Most Shots (35) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] New Record for Team's Most Points (20) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] New Record for Team's Most Assists (13) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] New Record for Team's Most Goals (7) in 1 Game for Rangers de New York!
[2019-10-03 23:28:57] Brayden Point from Rangers de New York has scored a Hat Trick!



No Injury or Suspension.


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
132100000161422200000012841010000046-241631470083509627363309523286023417.39%12650.00%06011950.42%6010955.05%325855.17%775567213417
Total Regular Season32100000161422200000012841010000046-241631470083509627363309523286023417.39%12650.00%06011950.42%6010955.05%325855.17%775567213417