´╗┐

Rangers

GP: 16 | W: 10 | L: 6 | OTL: 0 | P: 20
GF: 46 | GA: 44 | PP%: 17.65% | PK%: 79.41%
GM : Jesse B | Morale : 50 | Team Overall : 68
Next Games #93 vs Senators
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
1Max PaciorettyX100.008345868578809085357578695075777850730
2Charlie CoyleX100.007745918582749168807970746168707550710
3Mike HoffmanX100.006341888568799586538078595067687650710
4Ondrej PalatX100.007944968870768375338172723768717750710
5James van RiemsdykXXX100.006542888176709980256790556175787850700
6Nick SchmaltzXX100.005940928465789377748078676359597650700
7Riley NashXXX100.007644917774709661837772817969697650700
8Nick BjugstadX100.007755858384708575627774606768697450700
9Michael GrabnerXX100.007343938872699559396085802573747850690
10Tyler ToffoliXX100.007343938472739074367380592568717650690
11Zach HymanXXX100.007954867772769960467571832561617550690
12Michael FrolikXXX100.006943888474769367436666803878807150690
13Cody CeciX100.008545948477889862255348952568696850740
14Dmitry OrlovX100.008145918476879969256153832568696950730
15John MooreX100.008255838876808963255250796970726550710
16Greg PaterynX100.008660807181797260255347942561626450700
17Nate SchmidtX100.006542928168858572257049842565666750700
18Jake McCabeX100.008668858372788264255348802563636550690
Scratches
1Zack SmithX100.007865787979758872776658762573756850680
2Jason AkesonX100.007668936568525255505947634544445750550
3Erik GudbransonX100.008987817682766058254648912568696350690
4Justin SchultzX100.006742928573798876256848652569706550680
5Colin MillerX100.008555817974788980256953632562626850680
6Gus YoungX100.007072646472606446254640583844445050540
7Taylor DohertyX100.007591376291393847254939603744444850530
TEAM AVERAGE100.00765385807574856840656273406566695068
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
1Mike Smith100.00828583868282668085826072738050780
2Michael Hutchinson96.00675873817069687471703056566850670
Scratches
TEAM AVERAGE98.0075727884767667777876456465745073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Quenneville57686993639374CAN5641,400,000$


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 NamePOS GP 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
1Mike HoffmanRangersLW1681321900141961163813.11%1130919.330224251011352115.38%13144011.3600000310
2Nick SchmaltzRangersC/LW167815-740252668233910.29%1033621.03134331000122049.89%44794000.8900000131
3James van RiemsdykRangersC/LW/RW167714840292046103115.22%328717.980111250110122034.12%211143000.9700000021
4Max PaciorettyRangersLW1641014-514026247227495.56%936322.731233310112260131.58%76183000.7700000101
5Charlie CoyleRangersRW164711-72032304116269.76%834921.862245310000121052.63%38138000.6300000110
6John MooreRangersD162571002920179511.76%1833420.90000225101122000.00%035000.4200000002
7Dmitry OrlovRangersD16257-1100352532836.25%3745528.45112332011030110.00%0314000.3100000001
8Riley NashRangersC/LW/RW1642674017151641025.00%527217.01101225000000275.00%1276000.4400000100
9Michael GrabnerRangersLW/RW161452001410196165.26%31479.190000000004000.00%756000.6800000000
10Greg PaterynRangersD16055260212310560.00%1833320.86000125000020000.00%019000.3000000000
11Tyler ToffoliRangersC/RW162351001443413285.88%11388.640000000000000.00%0120000.7200000001
12Jake McCabeRangersD1603334017119430.00%823014.4000000000011000.00%014000.2600000000
13Nick BjugstadRangersC16123-1121014163120173.23%220212.6700000000001039.36%9493000.3000020001
14Zach HymanRangersC/LW/RW161232202010186135.56%41589.92000000112131047.83%6957000.3800000000
15Michael FrolikRangersC/LW/RW16213-1801712107820.00%620112.6200000000000050.00%446000.3000000010
16Cody CeciRangersD16022-140363917690.00%2045828.64000032000034000.00%0312000.0900000000
17Ondrej PalatRangersLW16112-22013103015253.33%721113.23000000000120033.33%3124000.1900000000
18Nate SchmidtRangersD160113205135000.00%1321713.580000000000000.00%000000.0900000000
Team Total or Average28846811271378103783275361953268.58%183500817.396111724288246723810543.43%97413398010.5100020788
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
1Michael HutchinsonRangers1610420.9202.529762041511269200.0000160310
2Mike SmithRangers10000.8855.00360032610000.0000016000
Team Total or Average1710420.9182.6110122044537279200.00001616310


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
Charlie CoyleRangersRW261993-03-02No221 Lbs6 ft3NoNoNo2ELCPro & Farm3,200,000$3,200,000$457,143$NoLink
Cody CeciRangersD251993-12-21No207 Lbs6 ft2NoNoNo3ELCPro & Farm3,250,000$3,250,000$464,286$NoLink
Colin MillerRangersD261992-10-29No196 Lbs6 ft1NoNoNo2ELCPro & Farm2,650,000$2,650,000$378,571$NoLink
Dmitry OrlovRangersD261992-07-23No212 Lbs5 ft11NoNoNo4ELCPro & Farm5,000,000$5,000,000$714,286$NoLink
Erik GudbransonRangersD261993-01-07No220 Lbs6 ft5NoNoNo1ELCPro & Farm2,750,000$2,750,000$392,857$NoLink
Greg PaterynRangersD271991-06-20No221 Lbs6 ft3NoNoNo3ELCPro & Farm850,000$850,000$121,429$NoLink
Gus YoungRangersD271991-07-10No190 Lbs6 ft2NoNoNo0ELCPro & Farm0$0$NoLink
Jake McCabeRangersD251993-10-12No209 Lbs6 ft1NoNoNo3ELCPro & Farm1,750,000$1,750,000$250,000$NoLink
James van RiemsdykRangersC/LW/RW281990-07-15 7:46:14 AMNo210 Lbs6 ft3NoNoNo3RFAPro & Farm5,000,000$5,000,000$714,286$NoLink
Jason AkesonRangersRW271991-06-03No190 Lbs5 ft10NoNoNo0ELCPro & Farm0$0$NoLink
John MooreRangersD271991-11-19No210 Lbs6 ft2NoNoNo2ELCPro & Farm1,600,000$1,600,000$228,571$NoLink
Justin SchultzRangersD271991-07-06No193 Lbs6 ft2NoNoNo2ELCPro & Farm2,750,000$2,750,000$392,857$NoLink
Max PaciorettyRangersLW291989-07-15 1:46:14 AMNo215 Lbs6 ft2NoNoNo2UFAPro & Farm4,500,000$4,500,000$642,857$NoLink
Michael FrolikRangersC/LW/RW291989-07-15 1:46:14 AMNo194 Lbs6 ft1NoNoNo4UFAPro & Farm4,250,000$4,250,000$607,143$NoLink
Michael GrabnerRangersLW/RW301988-07-15 7:46:14 PMNo185 Lbs6 ft1NoNoNo1UFAPro & Farm2,750,000$2,750,000$392,857$NoLink
Michael HutchinsonRangersG291990-03-02No202 Lbs6 ft3NoNoNo3UFAPro & Farm1,250,000$1,250,000$178,571$NoLink
Mike HoffmanRangersLW281990-11-24No180 Lbs6 ft0NoNoNo1RFAPro & Farm5,000,000$5,000,000$714,286$NoLink
Mike SmithRangersG361982-07-15 7:46:14 AMNo215 Lbs6 ft4NoNoNo4UFAPro & Farm5,750,000$5,750,000$821,429$NoLink
Nate SchmidtRangersD271991-07-16No194 Lbs6 ft1NoNoNo3ELCPro & Farm1,500,000$1,500,000$214,286$NoLink
Nick BjugstadRangersC251993-07-17No218 Lbs6 ft6NoNoNo2ELCPro & Farm4,000,000$4,000,000$571,429$NoLink
Nick SchmaltzRangersC/LW231996-02-23No177 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$900,000$128,571$NoLink
Ondrej PalatRangersLW271992-03-28No188 Lbs6 ft0NoNoNo1ELCPro & Farm4,600,000$4,600,000$657,143$NoLink
Riley NashRangersC/LW/RW281990-05-09No200 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$900,000$128,571$NoLink
Taylor DohertyRangersD281991-03-01No236 Lbs6 ft8NoNoNo0RFAPro & Farm0$0$NoLink
Tyler ToffoliRangersC/RW261993-04-24No201 Lbs6 ft0NoNoNo2ELCPro & Farm4,500,000$4,500,000$642,857$NoLink
Zach HymanRangersC/LW/RW261992-06-09No210 Lbs6 ft1NoNoNo4ELCPro & Farm2,250,000$2,250,000$321,429$NoLink
Zack SmithRangersC291989-07-15 1:46:14 AMNo210 Lbs6 ft2NoNoNo2UFAPro & Farm3,000,000$3,000,000$428,571$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2727.30204 Lbs6 ft22.112,738,889$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
73,950,000$57,950,000$30,850,000$17,250,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max PaciorettyNick SchmaltzCharlie Coyle40122
2Mike HoffmanJames van RiemsdykRiley Nash30122
3Ondrej PalatNick BjugstadMichael Frolik20122
4Michael GrabnerZach HymanTyler Toffoli10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cody CeciDmitry Orlov40122
2John MooreGreg Pateryn30122
3Nate SchmidtJake McCabe20122
4Cody CeciDmitry Orlov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max PaciorettyNick SchmaltzCharlie Coyle60122
2Mike HoffmanJames van RiemsdykRiley Nash40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cody CeciDmitry Orlov60122
2John MooreGreg Pateryn40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Max PaciorettyMike Hoffman60122
2Charlie CoyleOndrej Palat40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Cody CeciDmitry Orlov60122
2John MooreGreg Pateryn40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Max Pacioretty60122Cody CeciDmitry Orlov60122
2Mike Hoffman40122John MooreGreg Pateryn40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Max PaciorettyMike Hoffman60122
2Charlie CoyleOndrej Palat40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cody CeciDmitry Orlov60122
2John MooreGreg Pateryn40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max PaciorettyNick SchmaltzCharlie CoyleCody CeciDmitry Orlov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max PaciorettyNick SchmaltzCharlie CoyleCody CeciDmitry Orlov
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Bjugstad, Michael Frolik, Zach HymanNick Bjugstad, Michael FrolikZach Hyman
Extra Defensemen
Normal PowerPlayPenalty Kill
Nate Schmidt, Jake McCabe, John MooreNate SchmidtJake McCabe, John Moore
Penalty Shots
Max Pacioretty, Mike Hoffman, Charlie Coyle, Ondrej Palat, Nick Schmaltz
Goalie
#1 : Michael Hutchinson, #2 : Mike Smith


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
1Islanders642000001918131200000914-533000000104680.667193352005653171575753420072401211516.67%15380.00%115838740.83%15634145.75%10924644.31%124711315510651
2Penguins64200000161513210000066032100000109180.66716284400651420251805516202562213911545.45%10370.00%015838740.83%15634145.75%10924644.31%131751425711253
3Senators4220000011110211000006602110000055040.500112031001532163394956191355518118800.00%9188.89%115838740.83%15634145.75%10924644.31%985990387538
Total161060000046442844000002126-58620000025187200.625468112700121699536147186164395371838037834617.65%34779.41%215838740.83%15634145.75%10924644.31%354206364151294142
_Since Last GM Reset161060000046442844000002126-58620000025187200.625468112700121699536147186164395371838037834617.65%34779.41%215838740.83%15634145.75%10924644.31%354206364151294142
_Vs Conference161060000046442844000002126-58620000025187200.625468112700121699536147186164395371838037834617.65%34779.41%215838740.83%15634145.75%10924644.31%354206364151294142
_Vs Division12840000035332633000001520-56510000020137160.66735619600111167373108137108204021286226026623.08%25676.00%115838740.83%15634145.75%10924644.31%256147274112218104

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1620W146811275365371838037800
All Games
GPWLOTWOTL SOWSOLGFGA
1610600004644
Home Games
GPWLOTWOTL SOWSOLGFGA
84400002126
Visitor Games
GPWLOTWOTL SOWSOLGFGA
86200002518
Last 10 Games
WLOTWOTL SOWSOL
620200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
34617.65%34779.41%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
14718616439121699
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15838740.83%15634145.75%10924644.31%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
354206364151294142


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
1 - 2018-10-024Rangers3Penguins2WXBoxScore
3 - 2018-10-0412Rangers3Penguins4LBoxScore
5 - 2018-10-0620Penguins2Rangers3WXBoxScore
7 - 2018-10-0828Penguins3Rangers1LBoxScore
9 - 2018-10-1036Rangers4Penguins3WXBoxScore
11 - 2018-10-1244Penguins1Rangers2WXBoxScore
15 - 2018-10-1658Rangers5Islanders1WBoxScore
17 - 2018-10-1862Rangers2Islanders1WXBoxScore
19 - 2018-10-2066Islanders7Rangers2LBoxScore
21 - 2018-10-2270Islanders3Rangers2LBoxScore
23 - 2018-10-2474Rangers3Islanders2WXBoxScore
25 - 2018-10-2678Islanders4Rangers5WXBoxScore
29 - 2018-10-3085Senators2Rangers3WXBoxScore
31 - 2018-11-0187Senators4Rangers3LXBoxScore
33 - 2018-11-0389Rangers1Senators2LXBoxScore
35 - 2018-11-0591Rangers4Senators3WXBoxScore
37 - 2018-11-0793Senators-Rangers-
39 - 2018-11-0995Rangers-Senators-
41 - 2018-11-1197Senators-Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price100603520200
Attendance48,00037,63914,82431,7978,000
Attendance PCT100.00%94.10%92.65%99.37%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 17533 - 97.40% 1,226,640$9,813,120$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 73,950,000$ 56,300,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 0$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 65,767,731$ 65,767,731$



Depth Chart

Left WingCenterRight Wing
Max PaciorettyAGE:29PO:78OV:73
Ondrej PalatAGE:27PO:77OV:71
Mike HoffmanAGE:28PO:76OV:71
James van RiemsdykAGE:28PO:78OV:70
Nick SchmaltzAGE:23PO:76OV:70
Riley NashAGE:28PO:76OV:70
Michael GrabnerAGE:30PO:78OV:69
Zach HymanAGE:26PO:75OV:69
Michael FrolikAGE:29PO:71OV:69
Micheal FerlandAGE:27PO:75OV:68
*Alexander KerfootAGE:24PO:73OV:66
Joonas DonskoiAGE:27PO:70OV:66
Andre BurakovskyAGE:24PO:71OV:65
Kasperi KapanenAGE:22PO:72OV:64
Sonny MilanoAGE:22PO:70OV:62
John QuennevilleAGE:23PO:66OV:62
Valentin ZykovAGE:23PO:73OV:61
Denis GurianovAGE:21PO:64OV:61
Brendan LeipsicAGE:24PO:64OV:60
Nic PetanAGE:24PO:64OV:59
*Julien NantelAGE:22PO:56OV:55
*Yan-Pavel LaplanteAGE:24PO:51OV:51
James van RiemsdykAGE:28PO:78OV:70
Nick SchmaltzAGE:23PO:76OV:70
Riley NashAGE:28PO:76OV:70
Nick BjugstadAGE:25PO:74OV:70
Tyler ToffoliAGE:26PO:76OV:69
Zach HymanAGE:26PO:75OV:69
Michael FrolikAGE:29PO:71OV:69
Ryan DzingelAGE:26PO:75OV:68
Zack SmithAGE:29PO:68OV:68
*Alexander KerfootAGE:24PO:73OV:66
Andre BurakovskyAGE:24PO:71OV:65
Noel AcciariAGE:27PO:70OV:64
John QuennevilleAGE:23PO:66OV:62
Byron FroeseAGE:28PO:65OV:62
Brendan LeipsicAGE:24PO:64OV:60
Sam CarrickAGE:27PO:63OV:60
Alan QuineAGE:26PO:62OV:60
Nic PetanAGE:24PO:64OV:59
*Filip ChlapikAGE:21PO:62OV:59
*Anthony RichardAGE:22PO:61OV:57
*Gabriel GagneAGE:22PO:60OV:56
*Julien NantelAGE:22PO:56OV:55
Marc-Andre ClicheAGE:30PO:54OV:55
*Yan-Pavel LaplanteAGE:24PO:51OV:51
Charlie CoyleAGE:26PO:75OV:71
James van RiemsdykAGE:28PO:78OV:70
Riley NashAGE:28PO:76OV:70
Michael GrabnerAGE:30PO:78OV:69
Tyler ToffoliAGE:26PO:76OV:69
Zach HymanAGE:26PO:75OV:69
Michael FrolikAGE:29PO:71OV:69
Christian FischerAGE:22PO:72OV:67
Joonas DonskoiAGE:27PO:70OV:66
Andre BurakovskyAGE:24PO:71OV:65
Kasperi KapanenAGE:22PO:72OV:64
Tomas JurcoAGE:26PO:69OV:63
John QuennevilleAGE:23PO:66OV:62
Valentin ZykovAGE:23PO:73OV:61
Denis GurianovAGE:21PO:64OV:61
*Spencer FooAGE:25PO:65OV:59
Nic PetanAGE:24PO:64OV:59
*Gabriel GagneAGE:22PO:60OV:56
Jason AkesonAGE:27PO:57OV:55

Defense #1Defense #2Goalie
Cody CeciAGE:25PO:68OV:74
Dmitry OrlovAGE:26PO:69OV:73
John MooreAGE:27PO:65OV:71
Nate SchmidtAGE:27PO:67OV:70
Greg PaterynAGE:27PO:64OV:70
Jake McCabeAGE:25PO:65OV:69
Erik GudbransonAGE:26PO:63OV:69
Colin MillerAGE:26PO:68OV:68
Justin SchultzAGE:27PO:65OV:68
Shea TheodoreAGE:23PO:66OV:67
Justin FalkAGE:29PO:61OV:67
Fredrik ClaessonAGE:26PO:61OV:65
Anthony DeAngeloAGE:23PO:61OV:63
Eric GelinasAGE:26PO:60OV:63
Ryan SproulAGE:26PO:60OV:61
*Gabriel CarlssonAGE:22PO:58OV:59
Mark AltAGE:27PO:57OV:59
*Jack DoughertyAGE:22PO:52OV:57
Gus YoungAGE:27PO:50OV:54
Taylor DohertyAGE:28PO:48OV:53
Mike SmithAGE:36PO:80OV:78
Michael HutchinsonAGE:29PO:68OV:67
Tristan JarryAGE:24PO:69OV:66
Cal HeeterAGE:30PO:66OV:64
Dan VladarAGE:21PO:62OV:61
*Matt TomkinsAGE:24PO:48OV: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
Austin OsmanskiRangers2016197
Blake Heinrich Rangers2013150
Chris MartenetRangers2015120
Christopher BrownRangers2014153
Christopher PaquetteRangers2016153
David GilbertRangers2009209
Dmitriy ZaitsevRangers2016207
Dylan WellsRangers2016131
Emil GalimovRangers2013208
Filip HeltRangers2016208
Francois BrassardRangers2012166
Joonas RaskRangers
Karch BachmanRangers2015132
Kelly SummersRangers2014175
Markus NurmiRangers2016170
Martin RewayRangers2013126
Mason ShawRangers201791
Max ZimmerRangers2016107
Michael LeeRangers200967
Miroslav SvobodaRangers2015210
Nathan ClurmanRangers2016167
Nick PastujovRangers2016201
Samuel CarrierRangers2010177
Shane GersichRangers2014138
Ziyat PaiginRangers2015188

Draft Picks

Year R1R2R3R4R5R6R7
2019WSH WPG
2020NYR NYR NYR NYR NYR NYR NYR
2021NYR NYR NYR NYR NYR NYR NYR
2022NYR NYR NYR NYR NYR NYR NYR
2023NYR NYR NYR NYR NYR NYR NYR



[2019-04-13 8:09:09 AM] - Wolf Pack was eliminated at round 1 of year 2018.
[2019-02-16 8:23:43 AM] - TRADE : From Rangers to Maple Leafs : Evan Rodrigues (67), Bryan Rust (68), Jonathon Merrill (64).
[2019-02-16 8:23:43 AM] - TRADE : From Maple Leafs to Rangers : Max Pacioretty (73), Greg Pateryn (70).
[2018-12-21 11:59:22 AM] - TRADE : From Avalanche to Rangers : Riley Nash (70).
[2018-12-21 11:59:22 AM] - TRADE : From Rangers to Avalanche : Cameron Morrison (P), Y:2019-RND:3-PIT.
[2018-12-21 11:59:21 AM] - Riley Nash was added to Rangers.
[2018-09-18 8:37:07 AM] - Rangers hired Joel Quenneville for $1,400,000 for 4 year(s).
[2018-09-17 8:28:02 AM] - Will Weber was released.
[2018-07-25 7:56:55 PM] - TRADE : From Capitals to Rangers : Y:2019-RND:5-WSH.
[2018-07-25 7:56:55 PM] - TRADE : From Rangers to Capitals : Adam McQuaid (67), Colin Wilson (66).
[2018-07-23 9:21:44 PM] - Spencer Foo signed with Rangers for $1,000,000 for 4 year(s) with $0 in bonus.
[2018-07-23 9:21:44 PM] - Spencer Foo was added to Rangers.



[2019-04-25 8:39:49 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-24 6:58:42 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-23 7:08:45 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-22 7:03:46 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-21 9:43:06 AM] Last 7 Days Pro Star : 1 - Sidney Crosby of Flames (3-4-7) / 2 - Alex Ovechkin of Flames (2-4-6) / 3 - Mike Hoffman of Rangers (2-4-6)
[2019-04-20 8:47:29 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-19 7:57:45 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-18 6:58:24 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-17 6:56:11 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-16 6:52:09 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-15 6:43:25 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-15 6:43:25 AM] Mike Hoffman from Rangers has scored a Hat Trick!
[2019-04-13 8:09:09 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-04-13 8:09:08 AM] Game 43 - Unknown Player from Wolf Pack is injured (Torso) and is out for 1 week.
[2019-04-12 7:27:52 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-04-11 7:34:56 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-04-10 7:38:32 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-04-09 7:43:11 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-04-08 7:19:39 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-04-06 8:14:00 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-05 6:42:06 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-03 6:37:56 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-01 6:55:18 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-31 8:43:30 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-29 6:51:46 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-27 6:52:47 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-25 6:53:07 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-24 8:59:38 AM] Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-03-22 6:16:18 PM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-19 6:56:07 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-03-18 6:58:47 AM] Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-03-16 8:57:28 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-15 7:43:58 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-15 7:43:53 AM] Auto Lines Function has been run for Rangers.
[2019-03-15 7:43:53 AM] Auto Roster Partial Function has been run for Rangers.
[2019-03-14 7:55:26 AM] Mike Smith from Rangers is back from Exhaustion.
[2019-03-14 7:55:26 AM] Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-03-13 8:01:33 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-13 8:01:32 AM] Mike Smith from Rangers injured (Exhaustion)
[2019-03-12 8:30:18 AM] Last 7 Days Farm Star : 1 - Micheal Ferland of Wolf Pack (3-4-7) / 2 - Christian Fischer of Wolf Pack (2-3-5) / 3 - Nathan Gerbe of Bears (2-6-8)
[2019-03-11 8:17:33 AM] Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-03-10 8:34:26 AM] Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2019-03-09 8:58:46 AM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.



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
2018161060000046442844000002126-5862000002518720468112700121699536147186164395371838037834617.65%34779.41%215838740.83%15634145.75%10924644.31%354206364151294142
Total Playoff161060000046442844000002126-5862000002518720468112700121699536147186164395371838037834617.65%34779.41%215838740.83%15634145.75%10924644.31%354206364151294142