Out of Date Version of the STHS! Please update your version!
Login

Rangers
GP: 37 | W: 20 | L: 12 | OTL: 5 | P: 45
GF: 126 | GA: 120 | PP%: 15.44% | PK%: 78.52%
GM : Ladislav Voves | Morale : 50 | Team Overall : 70
Next Games #577 vs Hurricanes
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Rangers
20-12-5, 45pts
5
FINAL
4 Lightning
18-13-4, 40pts
Team Stats
W1StreakSOL2
10-6-3Home Record9-8-2
10-6-2Away Record9-5-2
4-5-1Last 10 Games6-2-2
3.41Goals Per Game3.26
3.24Goals Against Per Game3.40
15.44%Power Play Percentage17.83%
78.52%Penalty Kill Percentage87.39%
Rangers
20-12-5, 45pts
4
FINAL
3 Panthers
17-15-3, 37pts
Team Stats
W1StreakL2
10-6-3Home Record10-6-0
10-6-2Away Record7-9-3
4-5-1Last 10 Games4-4-2
3.41Goals Per Game3.11
3.24Goals Against Per Game3.23
15.44%Power Play Percentage19.49%
78.52%Penalty Kill Percentage78.86%
Hurricanes
10-17-5, 25pts
2022-01-23
Rangers
20-12-5, 45pts
Team Stats
L2StreakW1
5-6-2Home Record10-6-3
5-11-3Away Record10-6-2
3-6-1Last 10 Games4-5-1
2.72Goals Per Game3.41
3.47Goals Against Per Game3.41
16.00%Power Play Percentage15.44%
81.08%Penalty Kill Percentage78.52%
Rangers
20-12-5, 45pts
2022-01-25
Canadiens
19-14-1, 39pts
Team Stats
W1StreakL1
10-6-3Home Record7-7-1
10-6-2Away Record12-7-0
4-5-1Last 10 Games4-6-0
3.41Goals Per Game3.24
3.24Goals Against Per Game3.24
15.44%Power Play Percentage21.43%
78.52%Penalty Kill Percentage85.50%
Rangers
20-12-5, 45pts
2022-01-27
Devils
15-17-4, 34pts
Team Stats
W1StreakW1
10-6-3Home Record11-7-2
10-6-2Away Record4-10-2
4-5-1Last 10 Games6-4-0
3.41Goals Per Game2.56
3.24Goals Against Per Game2.56
15.44%Power Play Percentage14.18%
78.52%Penalty Kill Percentage86.89%
Team Leaders
Steven StamkosGoals
Steven Stamkos
15
Steven StamkosAssists
Steven Stamkos
25
Steven StamkosPoints
Steven Stamkos
40
Jacob TroubaPlus/Minus
Jacob Trouba
18
Cam TalbotWins
Cam Talbot
15
Cam TalbotSave Percentage
Cam Talbot
0.878

Team Stats
Goals For
126
3.41 GFG
Shots For
1084
29.30 Avg
Power Play Percentage
15.4%
21 GF
Offensive Zone Start
41.7%
Goals Against
120
3.24 GAA
Shots Against
931
25.16 Avg
Penalty Kill Percentage
78.5%%
32 GA
Defensive Zone Start
37.5%
Team Info

General ManagerLadislav Voves
CoachGerard Gallant
DivisionMetropolitan Division
ConferenceEastern Conference
CaptainSteven Stamkos
Assistant #1Brent Burns
Assistant #2Patrick Kane


Arena Info

NameMadison Square Garden
Capacity20,000
Attendance19,391
Season Tickets10,000


Roster Info

Pro Team20
Farm Team26
Contract Limit46 / 80
Prospects15


Salary Cap

Estimated Season Salary Cap68,985,625$
Available Salary Cap1,014,375$
Special Salary Cap Value0$
Players In Salary Cap22


Finance

Year to Date Revenue30,640,995$
Year To Date Expenses30,494,304$
Estimated Season Revenue35,479,047$
Estimated Season Expenses39,988,858$
Current Bank Account13,337,848$
Projected Bank Account8,282,037$


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
1Steven Stamkos (C)XXX100.0073377689758594959192886997768205077N03216,500,000$
2Patrick Kane (A)X100.0061358286679192903594746381807605073N03335,600,000$
3Brock NelsonXX100.007037758384838987758087719074690507303032,800,000$
4Tomas HertlXXX99.007438788382879481768080778970650507302845,600,000$
5Mats ZuccarelloXX100.006536798662858887359174698882790507203523,500,000$
6Evander KaneXX100.008941607979867581367587678174690507103124,500,000$
7Boone JennerXX99.007538798279888378937477767970650507102933,500,000$
8Zach HymanXXX100.007137748477869181447475728272660507003024,500,000$
9Connor BrownXX100.006235808572888576387865756768620506802834,000,000$
10Sam GagnerXX100.00623777847176946758666572637872050670331500,000$
11Brian BoyleXX100.007560757291718667666066766588790506703731,900,000$
12Darnell NurseX100.008643667985948972308071826166590507302712,500,000$
13Brent Burns (A)X100.006736737588969465307965795886790507203724,900,000$
14Jacob TroubaX100.008455587381899466307166816068610507102845,100,000$
15Jonas BrodinX100.006636767478919065307161805870630506902933,900,000$
16Ryan PulockX100.00763883707987816130696279566861050680271900,000$
17Ryan GravesX100.007340696787869159306962785566580506802713,700,000$
18Nick JensenX100.007841806976849157306660795376690506803212,100,000$
Scratches
Farm Team
1Carl HagelinX99.00663777787277806235655771578074050640342800,000$
2Dylan GambrellXX100.007740807972738558795756745864560506302611,000,000$
3Vinni LettieriXX100.00743881747074696239616567596657050620271900,000$
4Cedric PaquetteX100.00794665757467656158575271567062050610292500,000$
5Alexey Toropchenko (R)XX100.00794376649071675639545667565848050590232700,000$
6Ben McCartney (R)X100.00744273707277606037545259615446050580219100,000$
7Kurtis GabrielX100.007459656389626050375452594970610505702921,200,000$
8Scott WilsonXX100.005544776370455959355858585772630505703021,000,000$
9Jack KopackaXX100.00563778577844555636525556536050050540246100,000$
10Kirill TyutyayevXX100.00553581546242475643525055545646050510229100,000$
11Brandon KruseX100.005035855563444650354944555358480505002310100,000$
12Karl HenrikssonXX100.004544444444444444444444454450500504502110100,000$
13Mark FriedmanX100.00695063697073665630625769556657050620261900,000$
14Gustav OlofssonX100.00593775567854535130494962506656050560271900,000$
15Ryan MurphyX100.005837745870545652305154614970620505602911,200,000$
16Andrew NielsenX100.00605862508550555030454656466252050540255100,000$
17Michael CallahanX100.005035875478504845304246555058490505202310100,000$
18Michael KarowX100.005035865379504848304648555158490505202310100,000$
19Jonathan GrudenX100.00604076607346605836585857565646050550229100,000$
20William DufourX100.004544444444444444444445444450500504502010100,000$
21Xavier SimoneauXXX100.004444444444444444444545444450500504502110100,000$
22Jake MassieX97.07553779547650524830444658476251050530258100,000$
23Matthew HellicksonX42.055836785872505345304446555160510505302410100,000$
TEAM AVERAGE99.8973407479798689744876717571746905071
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
1Cam Talbot97.50858481828578828285847582790507103521,700,000$
2Alex Lyon100.0061575470645961636461577264050580291800,000$
Scratches
Farm Team
1Collin Delia100.0064636074656163666660626860050590282800,000$
2Lukas Parik (R)98.0052535081555251545350555445050520218100,000$
3Hugo Alnefelt (R)100.0053514872585453575752555445050530219100,000$
TEAM AVERAGE98.507371687675697273757366777205065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant50909080555570CAN59110,000$


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
1Steven StamkosRangersC/LW/RW3715254010801491140309710.71%565517.7125728120000002153.67%80300011.2225000331
2Brock NelsonRangersC/LW371421356805367124428611.29%569118.68167231111123452151.51%82700001.0135000640
3Mats ZuccarelloRangersLW/RW371516311260134875315220.00%962616.9252720118000032242.86%4200000.9925000016
4Evander KaneRangersLW/RW3715163175008537106276914.15%364517.4425725114000002043.48%4600000.9602000222
5Patrick KaneRangersRW3710162644075593386010.75%663317.1123514108011001028.89%4500000.8213000033
6Boone JennerRangersC/LW37718256320498110941706.42%769718.840552711010151170056.73%59400000.7202000012
7Darnell NurseRangersD3751722-144551074545152411.11%4384922.96314231080001109110.00%000100.5200000201
8Brent BurnsRangersD3731922-412026313513268.57%3479121.4025715123000043000.00%000000.5600000001
9Zach HymanRangersC/LW/RW371012223160435610830619.26%568318.46134251170004812036.00%20000000.6412000211
10Jacob TroubaRangersD375152018380100282782118.52%3778021.102356440110107100.00%000000.5100000101
11Ryan PulockRangersD342131511180562420122010.00%3373521.64123911000004000100.00%100000.4100000022
12Ryan GravesRangersD351121313160451818165.56%2654815.6700001000076100.00%000000.4700000030
13Connor BrownRangersLW/RW325712220104442175111.90%254016.8800044200001070026.47%3400100.4401000010
14Brian BoyleRangersC/LW325494201030143732613.51%341312.93000000001920047.06%8500100.4400011102
15Tomas HertlRangersC/LW/RW153695100202527103211.11%225416.991127360000381151.90%7900000.7102000110
16Sam GagnerRangersC/RW3744800011233642711.11%23038.2000009000061040.00%2500000.5300000110
17Jonas BrodinRangersD37246101001726124616.67%4974420.12000020000123000.00%000000.1600000000
18Carl HagelinHartford Wolf Pack (NYR)LW25325-340212112627.27%11716.8600000000002127.27%1100000.5800000100
19Cedric PaquetteHartford Wolf Pack (NYR)C34044-52204223140130.00%02336.8700000000000047.25%21800000.3400000000
20Mark FriedmanHartford Wolf Pack (NYR)D260339215311111340.00%1636914.210000000007000.00%000000.1600001000
21Nick JensenRangersD110336201055110.00%1218516.8700000000036000.00%000000.3200000000
22Dylan GambrellHartford Wolf Pack (NYR)C/RW51120002461216.67%05611.26000000000100044.44%1800000.7100000000
23Alexey ToropchenkoHartford Wolf Pack (NYR)LW/RW2000-100101000.00%0157.640000000000000.00%000000.00%00000000
24Ryan MurphyHartford Wolf Pack (NYR)D3000-300200000.00%14113.860000000000000.00%000000.00%00000000
Team Total or Average6981252383639634420776768110233376011.34%3011166716.72224163226128323514104618750.59%302800310.62927012202322
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
1Cam TalbotRangers30151140.8783.08179121927520010.55618298110
2Alex LyonRangers53100.8572.882710013910000.00%0522000
3Collin DeliaHartford Wolf Pack (NYR)32010.8743.571850011870000.778937010
Team Total or Average38201250.8753.10224821116930001273737120


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 Type Current Salary Salary RemainingSalary 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 10Link
Alex LyonRangersG2907.07.1993No201 Lbs6 ft1NoNoNo1Pro & Farm800,000$455,000$800,000$455,000$NoNHL Link
Boone JennerRangersC/LW2907.07.1993No205 Lbs6 ft2NoNoNo3Pro Only3,500,000$1,990,625$3,500,000$1,990,625$No3,500,000$3,500,000$NHL Link
Brent BurnsRangersD3707.07.1985No230 Lbs6 ft5NoNoNo2Pro Only4,900,000$2,786,875$4,900,000$2,786,875$No4,900,000$NHL Link
Brian BoyleRangersC/LW3707.07.1985No245 Lbs6 ft6NoNoNo3Pro Only1,900,000$1,080,625$1,900,000$1,080,625$No1,900,000$1,900,000$NHL Link
Brock NelsonRangersC/LW3007.07.1992No212 Lbs6 ft4NoNoNo3Pro Only2,800,000$1,592,500$2,800,000$1,592,500$No2,800,000$2,800,000$Link / NHL Link
Cam TalbotRangersG3507.07.1987No196 Lbs6 ft4NoNoNo2Pro Only1,700,000$966,875$1,700,000$966,875$No1,700,000$NHL Link
Connor BrownRangersLW/RW2807.07.1994No181 Lbs6 ft0NoNoNo3Pro Only4,000,000$2,275,000$4,000,000$2,275,000$No4,000,000$4,000,000$NHL Link
Darnell NurseRangersD2707.07.1995No221 Lbs6 ft4NoNoNo1Pro Only2,500,000$1,421,875$2,500,000$1,421,875$NoLink / NHL Link
Evander KaneRangersLW/RW3107.07.1991No210 Lbs6 ft2NoNoNo2Pro Only4,500,000$2,559,375$4,500,000$2,559,375$No4,500,000$NHL Link
Jacob TroubaRangersD2807.07.1994No208 Lbs6 ft3NoNoNo4Pro Only5,100,000$2,900,625$5,100,000$2,900,625$No5,100,000$5,100,000$5,100,000$NHL Link
Jonas BrodinRangersD2907.07.1993No196 Lbs6 ft2NoNoNo3Pro Only3,900,000$2,218,125$3,900,000$2,218,125$No3,900,000$3,900,000$NHL Link
Mats ZuccarelloRangersLW/RW3507.07.1987No181 Lbs5 ft8NoNoNo2Pro Only3,500,000$1,990,625$3,500,000$1,990,625$No3,500,000$NHL Link
Nick JensenRangersD3207.07.1990No205 Lbs6 ft1NoNoNo1Pro Only2,100,000$1,194,375$2,100,000$1,194,375$NoNHL Link
Patrick KaneRangersRW3307.07.1989No177 Lbs5 ft10YesNoNo3Pro Only5,600,000$3,185,000$5,600,000$3,185,000$No5,600,000$5,600,000$NHL Link
Ryan GravesRangersD2707.07.1995No220 Lbs6 ft5NoNoNo1Pro Only3,700,000$2,104,375$3,700,000$2,104,375$NoNHL Link
Ryan PulockRangersD2707.07.1995No215 Lbs6 ft2NoNoNo1Pro Only900,000$511,875$900,000$511,875$NoLink / NHL Link
Sam GagnerRangersC/RW3307.07.1989No197 Lbs5 ft11NoNoNo1Pro Only500,000$284,375$500,000$284,375$NoNHL Link
Steven StamkosRangersC/LW/RW3207.07.1990No193 Lbs6 ft1YesNoNo1Pro Only6,500,000$3,696,875$6,500,000$3,696,875$NoNHL Link
Tomas HertlRangersC/LW/RW2807.07.1994No215 Lbs6 ft3NoNoNo4Pro Only5,600,000$3,185,000$5,600,000$3,185,000$No5,600,000$5,600,000$5,600,000$NHL Link
Zach HymanRangersC/LW/RW3007.07.1992No211 Lbs6 ft1NoNoNo2Pro Only4,500,000$2,559,375$4,500,000$2,559,375$No4,500,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2030.85206 Lbs6 ft22.153,425,000$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
68,500,000$51,500,000$32,400,000$10,700,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tomas HertlSteven StamkosMats Zuccarello31122
2Evander KaneBrock NelsonConnor Brown31122
3Zach HymanBoone JennerPatrick Kane29122
4Ryan PulockBrian BoyleSam Gagner9131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsNick Jensen35122
2Darnell NurseJonas Brodin34122
3Jacob TroubaRyan Graves31122
4Jacob TroubaRyan Graves0131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Evander KaneSteven StamkosMats Zuccarello60005
2Boone JennerBrock NelsonPatrick Kane40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tomas HertlBrent Burns60113
2Zach HymanDarnell Nurse40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Boone JennerConnor Brown50131
2Tomas HertlBrian Boyle50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseJonas Brodin50140
2Jacob TroubaNick Jensen50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Boone Jenner50140Darnell NurseJonas Brodin50050
2Tomas Hertl50140Jacob TroubaNick Jensen50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Steven StamkosEvander Kane50122
2Brock NelsonPatrick Kane50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob TroubaBrent Burns50131
2Darnell NurseJonas Brodin50131
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brock NelsonSteven StamkosPatrick KaneDarnell NurseBrent Burns
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tomas HertlBoone JennerConnor BrownDarnell NurseJacob Trouba
Extra Forwards
Normal PowerPlayPenalty Kill
Brian Boyle, Sam Gagner, Patrick KaneConnor Brown, Sam GagnerBrian Boyle
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Pulock, Ryan Graves, Jacob TroubaJonas BrodinRyan Pulock, Ryan Graves
Penalty Shots
Patrick Kane, Brock Nelson, Steven Stamkos, Tomas Hertl, Mats Zuccarello
Goalie
#1 : Cam Talbot, #2 : Alex Lyon


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
1Avalanche1000010045-1000000000001000010045-110.50048120030104221111002976248112.50%3233.33%0622126249.29%582113551.28%32863151.98%2619217126
2Blackhawks22000000826110000003121100000051441.000814220033205511202404513193811327.27%6183.33%0622126249.29%582113551.28%32863151.98%463146152614
3Blue Jackets2110000057-21010000015-41100000042220.50051015002210612019220502615387114.29%6266.67%0622126249.29%582113551.28%32863151.98%533742132312
4Blues1010000024-21010000024-20000000000000.0002460020002413470247412800.00%2150.00%0622126249.29%582113551.28%32863151.98%2518227126
5Bruins1010000015-41010000015-40000000000000.000123000100331115701978232150.00%4250.00%0622126249.29%582113551.28%32863151.98%2518216136
6Canucks11000000202110000002020000000000021.00022401002019838022111031300.00%50100.00%0622126249.29%582113551.28%32863151.98%2518216136
7Capitals11000000532110000005320000000000021.000581300113038168140244416600.00%220.00%0622126249.29%582113551.28%32863151.98%2619217116
8Coyotes10001000431100010004310000000000021.0004711002011371381421754165120.00%2150.00%1622126249.29%582113551.28%32863151.98%3023185116
9Devils21100000550211000005500000000000020.50059140011303813916041122234400.00%11190.91%0622126249.29%582113551.28%32863151.98%453050142412
10Ducks11000000532110000005320000000000021.00057120012203611187023141219000.00%5180.00%0622126249.29%582113551.28%32863151.98%2315245116
11Flyers21100000660110000004311010000023-120.500612180030306017162705415835600.00%40100.00%0622126249.29%582113551.28%32863151.98%503544132412
12Golden Knights1010000035-2000000000001010000035-200.000369001020211065020410183133.33%5260.00%0622126249.29%582113551.28%32863151.98%2316236126
13Islanders3110001012111211000008801000001043140.667122133005332823320266711831615120.00%13192.31%0622126249.29%582113551.28%32863151.98%725174213718
14Jets11000000413000000000001100000041321.0004812002110288101002986215360.00%30100.00%0622126249.29%582113551.28%32863151.98%2317257105
15Kings1010000013-2000000000001010000013-200.0001231001002077603251722300.00%6183.33%0622126249.29%582113551.28%32863151.98%2215267105
16Kraken10001000541000000000001000100054121.0005914001121348111323286133266.67%20100.00%0622126249.29%582113551.28%32863151.98%2720216126
17Lightning20000011111101000000167-11000001054130.7501117280062247230191720652224437114.29%11281.82%0622126249.29%582113551.28%32863151.98%533951142511
18Maple Leafs1010000014-31010000014-30000000000000.0001120010002194802512418200.00%2150.00%0622126249.29%582113551.28%32863151.98%2215257126
19Oilers1000000134-11000000134-10000000000010.500369002101217764216819400.00%4175.00%0622126249.29%582113551.28%32863151.98%2820237136
20Panthers11000000431000000000001100000043121.00048120022004117141002176163133.33%30100.00%0622126249.29%582113551.28%32863151.98%2216257115
21Penguins1010000013-2000000000001010000013-200.0001230001003310149027101022500.00%5260.00%0622126249.29%582113551.28%32863151.98%2618216126
22Predators11000000523000000000001100000052321.000510150014003062040164615200.00%2150.00%0622126249.29%582113551.28%32863151.98%2315228146
23Red Wings2110000057-2110000003121010000026-420.5005101500113051141522067162447900.00%12466.67%0622126249.29%582113551.28%32863151.98%493446142412
24Senators210000019721000000145-11100000052330.7509142300234267212125754822389333.33%11190.91%1622126249.29%582113551.28%32863151.98%553942142614
25Sharks21100000963110000006241010000034-120.5009182700432068232025041914448225.00%7271.43%0622126249.29%582113551.28%32863151.98%513844142411
26Stars1000010034-1000000000001000010034-110.5003690012003091632296216600.00%10100.00%0622126249.29%582113551.28%32863151.98%2720226127
27Wild11000000321000000000001100000032121.00034700102022125503342621200.00%12191.67%0622126249.29%582113551.28%32863151.98%2315247126
Total3716120222312612061996010036363018760122063576450.60812622535111483539111084378340350439312683287201362115.44%1493278.52%2622126249.29%582113551.28%32863151.98%933663857261461234
_Since Last GM Reset3716120222312612061996010036363018760122063576450.60812622535111483539111084378340350439312683287201362115.44%1493278.52%2622126249.29%582113551.28%32863151.98%933663857261461234
_Vs Conference2088000226572-71255000023846-88330002027261220.550651141790024172285972111742033351815717839165812.31%841878.57%1622126249.29%582113551.28%32863151.98%503356467142248125
_Vs Division1155000103435-1743000002324-14120001011110120.5453462960012813231210986114626785902063326.06%41880.49%0622126249.29%582113551.28%32863151.98%2741932557613568

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3745W1126225351108493126832872011
All Games
GPWLOTWOTL SOWSOLGFGA
3716122223126120
Home Games
GPWLOTWOTL SOWSOLGFGA
199610036363
Visitor Games
GPWLOTWOTL SOWSOLGFGA
187612206357
Last 10 Games
WLOTWOTL SOWSOL
350011
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1362115.44%1493278.52%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3783403504348353911
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
622126249.29%582113551.28%32863151.98%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
933663857261461234


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 - 2021-11-1420Rangers3Wild2AWR3BoxScore
3 - 2021-11-1529Rangers4Jets1AWBoxScore
5 - 2021-11-1742Ducks3Rangers5BWBoxScore
7 - 2021-11-1955Sharks2Rangers6BWBoxScore
8 - 2021-11-2067Canucks0Rangers2BWR3BoxScore
10 - 2021-11-2281Blue Jackets5Rangers1BLBoxScore
12 - 2021-11-2494Rangers4Islanders3AWXXBoxScore
15 - 2021-11-27124Rangers3Stars4ALXBoxScore
17 - 2021-11-29134Flyers3Rangers4BWBoxScore
18 - 2021-11-30142Bruins5Rangers1BLBoxScore
21 - 2021-12-03169Red Wings1Rangers3BWBoxScore
22 - 2021-12-04175Islanders4Rangers5BWBoxScore
24 - 2021-12-06197Rangers2Red Wings6ALBoxScore
26 - 2021-12-08212Rangers5Predators2AWBoxScore
27 - 2021-12-09220Coyotes3Rangers4BWXBoxScore
31 - 2021-12-13257Rangers5Kraken4AWXBoxScore
32 - 2021-12-14269Rangers3Sharks4ALBoxScore
34 - 2021-12-16282Rangers1Kings3ALBoxScore
36 - 2021-12-18295Rangers4Blue Jackets2AWBoxScore
37 - 2021-12-19301Oilers4Rangers3BLXXBoxScore
39 - 2021-12-21311Devils2Rangers3BWBoxScore
41 - 2021-12-23329Rangers5Senators2AWBoxScore
43 - 2021-12-25349Senators5Rangers4BLXXBoxScore
44 - 2021-12-26353Blackhawks1Rangers3BWBoxScore
46 - 2021-12-28372Blues4Rangers2BLBoxScore
48 - 2021-12-30391Rangers3Golden Knights5ALBoxScore
50 - 2022-01-01406Rangers4Avalanche5ALXBoxScore
52 - 2022-01-03421Lightning7Rangers6BLXXBoxScore
53 - 2022-01-04427Devils3Rangers2BLBoxScore
56 - 2022-01-07452Maple Leafs4Rangers1BLBoxScore
57 - 2022-01-08461Rangers2Flyers3ALBoxScore
59 - 2022-01-10480Rangers5Blackhawks1AWBoxScore
61 - 2022-01-12493Rangers1Penguins3ALBoxScore
62 - 2022-01-13501Islanders4Rangers3BLBoxScore
65 - 2022-01-16526Capitals3Rangers5BWBoxScore
67 - 2022-01-18541Rangers5Lightning4AWXXBoxScore
69 - 2022-01-20555Rangers4Panthers3AWBoxScore
72 - 2022-01-23577Hurricanes-Rangers-
74 - 2022-01-25595Rangers-Canadiens-
76 - 2022-01-27609Rangers-Devils-
78 - 2022-01-29631Rangers-Ducks-
80 - 2022-01-31644Wild-Rangers-
81 - 2022-02-01651Stars-Rangers-
84 - 2022-02-04679Canadiens-Rangers-
85 - 2022-02-05688Rangers-Blue Jackets-
88 - 2022-02-08708Bruins-Rangers-
91 - 2022-02-11735Panthers-Rangers-
93 - 2022-02-13752Rangers-Maple Leafs-
95 - 2022-02-15769Golden Knights-Rangers-
97 - 2022-02-17787Avalanche-Rangers-
99 - 2022-02-19801Flames-Rangers-
102 - 2022-02-22825Kraken-Rangers-
103 - 2022-02-23833Rangers-Hurricanes-
105 - 2022-02-25850Hurricanes-Rangers-
107 - 2022-02-27871Rangers-Canucks-
109 - 2022-03-01885Rangers-Oilers-
110 - 2022-03-02894Rangers-Flames-
112 - 2022-03-04908Jets-Rangers-
115 - 2022-03-07934Rangers-Red Wings-
117 - 2022-03-09943Rangers-Capitals-
118 - 2022-03-10955Kings-Rangers-
121 - 2022-03-13979Rangers-Flyers-
Trade Deadline --- Trades can’t be done after this day is simulated!
122 - 2022-03-14985Senators-Rangers-
124 - 2022-03-161001Rangers-Bruins-
128 - 2022-03-201038Rangers-Canadiens-
130 - 2022-03-221052Rangers-Sabres-
131 - 2022-03-231061Rangers-Penguins-
133 - 2022-03-251076Capitals-Rangers-
135 - 2022-03-271093Penguins-Rangers-
137 - 2022-03-291108Penguins-Rangers-
139 - 2022-03-311128Predators-Rangers-
141 - 2022-04-021146Rangers-Hurricanes-
143 - 2022-04-041164Rangers-Panthers-
146 - 2022-04-071185Blue Jackets-Rangers-
148 - 2022-04-091201Rangers-Devils-
149 - 2022-04-101211Rangers-Sabres-
151 - 2022-04-121229Rangers-Capitals-
154 - 2022-04-151254Lightning-Rangers-
155 - 2022-04-161264Rangers-Blues-
157 - 2022-04-181277Sabres-Rangers-
159 - 2022-04-201295Rangers-Coyotes-
160 - 2022-04-211298Maple Leafs-Rangers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity80004000500020001000
Ticket Price110654535220
Attendance149,42572,88292,13935,44418,546
Attendance PCT98.31%95.90%96.99%93.27%97.61%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
22 19391 - 96.96% 1,612,684$30,640,995$20000138

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
30,494,304$ 70,300,000$ 70,300,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
428,125$ 30,026,250$ 0$ 22 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
35,479,047$ 91 439,438$ 39,988,858$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
40,534,858$ 13,337,848$ 8,282,037$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
68,985,625$ 1,014,375$ 70,000,000$ 28,985,625$



Depth Chart

Left WingCenterRight Wing
Steven StamkosAGE:32PO:0OV:77
Brock NelsonAGE:30PO:0OV:73
Tomas HertlAGE:28PO:0OV:73
Mats ZuccarelloAGE:35PO:0OV:72
Evander KaneAGE:31PO:0OV:71
Boone JennerAGE:29PO:0OV:71
Zach HymanAGE:30PO:0OV:70
Connor BrownAGE:28PO:0OV:68
Brian BoyleAGE:37PO:0OV:67
Carl HagelinAGE:34PO:0OV:64
Alexey Toropchenko (R)AGE:23PO:0OV:59
Ben McCartney (R)AGE:21PO:0OV:58
Scott WilsonAGE:30PO:0OV:57
Jonathan GrudenAGE:22PO:0OV:55
Jack KopackaAGE:24PO:0OV:54
Kirill TyutyayevAGE:22PO:0OV:51
Brandon KruseAGE:23PO:0OV:50
Karl HenrikssonAGE:21PO:0OV:45
Xavier SimoneauAGE:21PO:0OV:45
Steven StamkosAGE:32PO:0OV:77
Brock NelsonAGE:30PO:0OV:73
Tomas HertlAGE:28PO:0OV:73
Boone JennerAGE:29PO:0OV:71
Zach HymanAGE:30PO:0OV:70
Sam GagnerAGE:33PO:0OV:67
Brian BoyleAGE:37PO:0OV:67
Dylan GambrellAGE:26PO:0OV:63
Vinni LettieriAGE:27PO:0OV:62
Cedric PaquetteAGE:29PO:0OV:61
Scott WilsonAGE:30PO:0OV:57
Kirill TyutyayevAGE:22PO:0OV:51
Karl HenrikssonAGE:21PO:0OV:45
Xavier SimoneauAGE:21PO:0OV:45
Steven StamkosAGE:32PO:0OV:77
Patrick KaneAGE:33PO:0OV:73
Tomas HertlAGE:28PO:0OV:73
Mats ZuccarelloAGE:35PO:0OV:72
Evander KaneAGE:31PO:0OV:71
Zach HymanAGE:30PO:0OV:70
Connor BrownAGE:28PO:0OV:68
Sam GagnerAGE:33PO:0OV:67
Dylan GambrellAGE:26PO:0OV:63
Vinni LettieriAGE:27PO:0OV:62
Alexey Toropchenko (R)AGE:23PO:0OV:59
Kurtis GabrielAGE:29PO:0OV:57
Jack KopackaAGE:24PO:0OV:54
William DufourAGE:20PO:0OV:45
Xavier SimoneauAGE:21PO:0OV:45

Defense #1Defense #2Goalie
Darnell NurseAGE:27PO:0OV:73
Brent BurnsAGE:37PO:0OV:72
Jacob TroubaAGE:28PO:0OV:71
Jonas BrodinAGE:29PO:0OV:69
Ryan PulockAGE:27PO:0OV:68
Ryan GravesAGE:27PO:0OV:68
Nick JensenAGE:32PO:0OV:68
Mark FriedmanAGE:26PO:0OV:62
Gustav OlofssonAGE:27PO:0OV:56
Ryan MurphyAGE:29PO:0OV:56
Andrew NielsenAGE:25PO:0OV:54
Jake MassieAGE:25PO:0OV:53
Matthew HellicksonAGE:24PO:0OV:53
Michael CallahanAGE:23PO:0OV:52
Michael KarowAGE:23PO:0OV:52
Cam TalbotAGE:35PO:0OV:71
Collin DeliaAGE:28PO:0OV:59
Alex LyonAGE:29PO:0OV:58
Hugo Alnefelt (R)AGE:21PO:0OV:53
Lukas Parik (R)AGE:21PO:0OV:52

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
Antti PalojarviRangers
Cameron BergRangers
Colby AmbrosioRangers
Connor LockhartRangers
Ivan FedotovRangers
Jakob StukelRangers
Jeremy HelvigRangers
Jonathan DiabyRangers
Linus NassenRangers
Manix LandryRangers
Mark ShoemakerRangers
Miguel FidlerRangers
Patrick KudlaRangers
Yegor SerdyukRangers
Yevgeni KashnikovRangers

Draft Picks

Year R1R2R3R4R5R6R7
24
25
26
27




STHS News Database File Not Found. Please create one from the League News Management or the STHS.




Rangers Trade History

[09.03.2023 23:13:17] - TRADE : From Hurricanes to Rangers : Ryan Pulock (68).
[09.03.2023 23:12:10] - TRADE : From Rangers to Kings : 700 000 Kč (Money), Y:23-RND:3-NYR, Y:23-RND:5-MIN, Y:24-RND:6-NYR.
[07.12.2022 21:03:14] - Patrick Kane has been selected as assistant for Rangers.
[07.12.2022 21:03:14] - Unknown Player is no longer as assistant for Rangers.
[04.12.2022 20:37:23] - Rangers hired Gerard Gallant for 10 000 Kč for 1 year(s).
[25.11.2022 0:05:26] - Alex Stalock was released.
[25.11.2022 0:05:26] - Rangers paid 0 Kč to release Alex Stalock.
[24.11.2022 22:39:52] - Alex Stalock signed with Rangers for 800 000 Kč for 2 year(s) / Option : 1 Way Contract .
[24.11.2022 22:39:52] - Alex Stalock was added to Rangers.
[24.11.2022 22:39:38] - Alex Stalock was added to Rangers.
[18.11.2022 23:54:15] - TRADE : From Rangers to Blackhawks : 500 000 Kč (Money).
[18.11.2022 23:54:15] - TRADE : From Blackhawks to Rangers : Collin Delia (59).
[18.11.2022 23:53:53] - TRADE : From Rangers to Flyers : 500 000 Kč (Money).
[18.11.2022 23:53:53] - TRADE : From Flyers to Rangers : Alex Lyon (58).
[18.11.2022 2:32:18] - Xavier Simoneau was added to Rangers.
[18.11.2022 2:31:32] - William Dufour was added to Rangers.
[18.11.2022 2:30:50] - Karl Henriksson was added to Rangers.
[18.11.2022 2:21:21] - TRADE : From Devils to Rangers : Michael Callahan (52), Matthew Hellickson (53).
[18.11.2022 2:04:59] - Scott Wilson signed with Rangers for 1 000 000 Kč for 2 year(s).
[18.11.2022 2:04:59] - Scott Wilson was added to Rangers.
[18.11.2022 2:04:51] - Kurtis Gabriel signed with Rangers for 1 200 000 Kč for 2 year(s).
[18.11.2022 2:04:51] - Kurtis Gabriel was added to Rangers.
[18.11.2022 2:04:41] - Cedric Paquette signed with Rangers for 500 000 Kč for 2 year(s).
[18.11.2022 2:04:41] - Cedric Paquette was added to Rangers.
[18.11.2022 2:04:33] - Carl Hagelin signed with Rangers for 800 000 Kč for 2 year(s) / Option : 1 Way Contract .
[18.11.2022 2:04:33] - Carl Hagelin was added to Rangers.
[18.11.2022 2:04:23] - Brian Boyle signed with Rangers for 1 900 000 Kč for 3 year(s).
[18.11.2022 2:04:23] - Brian Boyle was added to Rangers.
[18.11.2022 2:03:58] - TRADE : From Islanders to Rangers : 2 900 000 Kč (Money).



[13.03.2023 9:50:44] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[12.03.2023 23:04:41] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[11.03.2023 21:47:45] Jake Massie from Hartford Wolf Pack is back from Bruised Left Leg Injury.
[11.03.2023 21:47:36] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[10.03.2023 22:30:18] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[10.03.2023 22:30:17] Cedric Paquette of Rangers was sent down to farm.
[09.03.2023 23:13:19] Rangers are expected to be over the salary cap by 885 625 Kč!
[09.03.2023 23:13:17] TRADE : From Hurricanes to Rangers : Ryan Pulock (68).
[09.03.2023 23:12:10] TRADE : From Rangers to Kings : 700 000 Kč (Money), Y:23-RND:3-NYR, Y:23-RND:5-MIN, Y:24-RND:6-NYR.
[08.03.2023 1:11:28] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[08.03.2023 1:10:34] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[08.03.2023 1:10:34] Carl Hagelin of Rangers was sent down to farm.
[06.03.2023 21:46:31] Game 501 - Jake Massie from Hartford Wolf Pack is injured (Bruised Left Leg) and is out for 1 week.
[06.03.2023 21:46:31] Game 501 - Matthew Hellickson from Hartford Wolf Pack is injured (Right Foot) and is out for 3 months.
[06.03.2023 21:46:25] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[06.03.2023 21:44:48] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[06.03.2023 21:44:41] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[06.03.2023 0:35:14] Brian Boyle from Rangers is back from Strained Right Knee Injury.
[06.03.2023 0:33:58] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[04.03.2023 23:07:49] Last 30 Days Farm Star : 1 - Vinni Lettieri of Hartford Wolf Pack (14-11-25) / 2 - Scott Reedy of Henderson Silver Knights (13-7-20) / 3 - Vasily Podkolzin of Bridgeport Islanders (14-9-23)
[04.03.2023 23:07:39] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[04.03.2023 23:06:16] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[03.03.2023 22:41:53] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[03.03.2023 22:41:43] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[02.03.2023 21:46:56] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[02.03.2023 21:44:41] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[02.03.2023 21:44:41] Mark Friedman of Rangers was sent down to farm.
[02.03.2023 21:44:41] Alexey Toropchenko of Rangers was sent down to farm.
[01.03.2023 21:20:22] Rangers are expected to be over the salary cap by 268 125 Kč!
[01.03.2023 21:20:05] Carl Hagelin from Rangers is back from Right Leg Injury.
[01.03.2023 21:19:52] Rangers are expected to be over the salary cap by 268 125 Kč!
[01.03.2023 21:19:48] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[01.03.2023 21:19:28] Rangers are expected to be over the salary cap by 268 125 Kč!
[01.03.2023 21:18:28] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[01.03.2023 21:18:26] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[01.03.2023 21:17:55] Rangers are expected to be over the salary cap by 268 125 Kč!
[01.03.2023 21:17:46] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[01.03.2023 21:17:42] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[28.02.2023 22:19:07] Rangers are expected to be over the salary cap by 268 125 Kč!
[28.02.2023 22:15:26] Jonathan Gruden from Hartford Wolf Pack is back from Bruised Right Foot Injury.
[28.02.2023 22:15:17] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[28.02.2023 22:13:33] Rangers are expected to be over the salary cap by 268 125 Kč!
[28.02.2023 22:13:12] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[28.02.2023 22:13:06] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[28.02.2023 22:13:06] Alexey Toropchenko of Rangers was sent to pro.
[27.02.2023 21:40:28] Nick Jensen from Rangers is back from Bruised Left Foot Injury.



Matthew Hellickson is out for 2 months because of a Right Foot Injury.



Rangers 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

Rangers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

Rangers 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

Rangers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA