Final
BOS1
FLA4
Final
NJD3
DET4
Final
ANA4
BUF3
Final
EDM3
VGK1
Final
TOR3
CBJ5
Final
LAK5
VAN3
Final
ARI2
OTT1
Final
WPG3
MON2
Final
STL5
MIN3
Final
COL4
CGY3
Final
NYR5
EDM2
Final/SO
DAL2
TBL1
Final
STL3
ANA1
Final
DET1
BOS3
Final
CBJ3
PHI1
Full Scoreboard ¬Ľ
StarsDallas Stars
35-19-8, 78pts · 3rd in Western Conference
Roster
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 # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Mika Zibanejad0C100.00661593918598949390959468837879767683297,500,000$/2yrs
Ryan Strome0C/RW100.00621795857282938985948280537576737679296,000,000$/1yrs
Steven Stamkos0C/RW100.005813968370949791909295555376808776793210,000,000$/3yrs
Max Pacioretty0LW100.00771592807677868055828861547779817675335,000,000$/3yrs
Nick Suzuki0C/RW100.00351799827771699674889257814949837674236,500,000$/2yrs
Evander Kane0LW100.00732954857993947449778855387576817673315,500,000$/3yrs
Nicholas Henry0RW100.00553083817484958874887756685252807673231,750,000$/2yrs
Kailer Yamamoto0LW/RW100.0093885875868647019909067255555747272231,650,000$/5yrs
Sam Steel0C/LW100.0037199826982808284838956255252677671241,300,000$/5yrs
Brandon Sutter0C/RW100.0062499757291626586566682637779726968332,250,000$/1yrs
Zack Smith0C/LW100.0068357877778986618370627125737572786834800,000$/2yrs
Tyler Pitlick0C/RW100.007059977758081663759707025575772196630685,000$/2yrs
Darnell Nurse0D98.00813670888699998625876589637777597582278,250,000$/2yrs
Zach Werenski0D100.0041199958199978625786281257172597677254,000,000$/2yrs
Brenden Dillon0D100.00751789848590996325614784257274654875314,000,000$/3yrs
Keith Yandle0D100.0046292857299998925774672258184697674354,750,000$/3yrs
Torey Krug0D100.00561294866698879125865077426870686974313,250,000$/4yrs
Jake Gardiner0D100.0060497847298897625724876257273657673321,000,000$/3yrs
Scratches
Jesper Fast0RW100.006849885708786613564626825666869676730800,000$/3yrs
Zach Bogosian0D100.0063468773839861602560488675747465207132775,000$/1yrs
Luke Schenn0D100.0084559272847877552550508025767761207032800,000$/1yrs
TEAM AVERAGE99.90631790837588857751777071446970716574
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Carter Hart0100.0095858668849897999986955858637684232,500,000$/5yrs
Marc-Andre Fleury0100.0083818173878284829083848288877680371,250,000$/1yrs
Scratches
TEAM AVERAGE100.0089838471869091919585907073757682
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar65838764775863CAN4872,500,000$
General Manager
Jeff Shirley
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Ryan StromeStarsStars0C/RW62193756220711885910210.11%3618.4851419132000744051.63%12304629100.9811
2Mika ZibanejadStarsStars0C6217385524074239691317.11%3018.8241014132011741251.16%12473618000.9416
3Steven StamkosStarsStars0C/RW62262046000402196111011.87%2018.465510132000559447.31%934013010.8024
4Darnell NurseStarsStars0D62835431048013614347505.59%12625.99291113700056120.00%02568100.5301
5Sam SteelStarsStars0C/LW6224153910012146348116.44%1817.3643713000005251.51%959218000.7202
6Nicholas HenryStarsStars0RW62112738-114048198431085.56%1014.98000000001056.67%604611000.8202
7Nick SuzukiStarsStars0C/RW62171734-8003179551299.50%1414.63000400003033.96%53389000.7526
8Max PaciorettyStarsStars0LW621418324609881233817.28%1917.397714114000260147.54%611515000.5901
9Kailer YamamotoStarsStars0LW/RW57122032510012712639739.52%2315.220221700003124.44%452713000.7401
10Zach WerenskiStarsStars0D6292130-2201013050446.92%8622.1836913000073100.00%02749000.4400
11Torey KrugStarsStars0D62522278603110039495.00%6222.3232513700073000.00%02156000.3900
12Evander KaneStarsStars0LW629918-346014361174214.75%1518.05347134101550334.67%75209100.3200
13Keith YandleStarsStars0D6241418-2120177926305.06%5617.8222413000061110.00%01445000.3300
14Brenden DillonStarsStars0D53113141195715423211.85%6717.98000101130000.00%0448000.2900
15Jesper FastStarsStars0RW5566121005058203610.34%78.88000000001130.00%10126000.4900
16Brandon SutterStarsStars0C/RW6047111100295715287.02%218.850006000221053.05%2131614000.4101
17Zack SmithStarsStars0C/LW62551051005448243310.42%98.44000300070155.56%974000.3800
18Jake GardinerStarsStars0D62156-320404624232.17%5814.91000100020100.00%0638000.1300
19Zach BogosianStarsStars0D9112-1206104210.00%815.6500000000100.00%007000.2800
20Tyler PitlickStarsStars0C/RW14022-200714360.00%17.97000000000014.29%721000.3600
Team Total or Average11161933325252818351067217667511368.87%68616.6538641021347123632331850.49%4062423461310.57625
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
1Carter HartStars58321880.9262.513515411471996828420.583245841451
2Marc-Andre FleuryStars43100.9132.69245001112757000.6673458010
Team Total or Average62351980.9262.523760411582123885420.5932762621461
Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1StarsKings30300000711-400.00071118105020983231350111498525120.00%40100.00%0819157552.00%776153450.59%45689950.72%63406725492435.3%7.1%90.1%97.2Unlucky
2StarsOilers2010100055020.50058130021117324123346016243500.00%10100.00%0819157552.00%776153450.59%45689950.72%47294017341850.0%6.8%91.7%98.5DULL
3StarsCanucks43100000136760.75013233600436014054355101274485811218.18%40100.00%0819157552.00%776153450.59%45689950.72%89558631643464.7%9.3%95.3%104.6LUCKY
4StarsGolden Knights4100120098160.750917260025111504954443130584891317.69%20100.00%0819157552.00%776153450.59%45689950.72%98617930663750.0%6.0%93.8%99.8DULL
5StarsAvalanche64101000261610100.8332644700099712147265743239641811019736.84%9188.89%0819157552.00%776153450.59%45689950.72%1308113451964755.9%12.1%93.3%105.5LUCKY
6StarsBlues532000001512360.600152540016720168646044016357229321523.81%11372.73%1819157552.00%776153450.59%45689950.72%1086410743844252.6%8.9%92.6%101.6Unlucky
7StarsJets642000002317680.66723426500451402045768790187502410815426.67%12466.67%0819157552.00%776153450.59%45689950.72%1368312449995159.4%11.3%90.9%102.2FUN
8StarsBruins2200000063341.0006101600222065252020076212139600.00%40100.00%0819157552.00%776153450.59%45689950.72%43264316321666.7%9.2%96.1%105.3LUCKY
9StarsCoyotes521000111614270.700162844002493160584552171816387919421.05%40100.00%0819157552.00%776153450.59%45689950.72%1116711141864546.2%10.0%92.3%102.3LUCKY
10StarsDucks43000001128470.875121830003450151504652514238166211327.27%8187.50%0819157552.00%776153450.59%45689950.72%89569034643156.3%7.9%94.4%102.3DULL
11StarsCanadiens1100000021121.00023500011037151390373411500.00%10100.00%0819157552.00%776153450.59%45689950.72%221421815866.7%5.4%97.3%102.7DULL
12StarsSenators2110000086220.5008152300440081283815072262317228.57%10100.00%0819157552.00%776153450.59%45689950.72%45294216321650.0%9.9%91.7%101.5LUCKY
13StarsWild521001011514160.60015284300465117265574881836120684375.00%100100.00%0819157552.00%776153450.59%45689950.72%1066611842813846.2%8.7%92.3%101.1DULL
14StarsMaple Leafs20200000811-300.0008142200233073262225068138403133.33%4175.00%0819157552.00%776153450.59%45689950.72%45294115331641.2%11.0%83.8%94.8FUN
15StarsRangers1100000043121.00047110012103881119030130273266.67%000.00%0819157552.00%776153450.59%45689950.72%231519817840.0%10.5%90.0%100.5FUN
16StarsSabres2010100055020.500571200211170312216163244283133.33%20100.00%0819157552.00%776153450.59%45689950.72%43294416321444.4%7.1%92.1%99.2DULL
17StarsRed Wings1000000134-110.5003470011104416161132860144250.00%000.00%0819157552.00%776153450.59%45689950.72%261720817920.0%6.8%85.7%92.5Unlucky
18StarsFlyers2110000055020.50058131011305519231306217636600.00%30100.00%0819157552.00%776153450.59%45689950.72%43264416321650.0%9.1%91.9%101.0LUCKY
19StarsLightning2000101075241.000711180012237324251986127433400.00%2150.00%0819157552.00%776153450.59%45689950.72%47304317341763.6%9.6%91.8%101.4LUCKY
20StarsPanthers2020000036-300.0003580012007128271606919431000.00%20100.00%0819157552.00%776153450.59%45689950.72%43284415321533.3%4.2%91.3%95.5DULL
21StarsDevils1000010034-110.50034700120039821913617415300.00%20100.00%0819157552.00%776153450.59%45689950.72%241522817842.9%7.7%88.9%96.6Unlucky
_Vs Division2715701112957322370.685951672620125313759183162952972895329592458782329.49%46882.61%1819157552.00%776153450.59%45689950.72%59436359622944922652.6%10.3%92.3%102.7LUCKY
_Vs Conference4422120331314111130580.65914124438511414452715305254735124015235001307621233024.39%65986.15%1819157552.00%776153450.59%45689950.72%98260696136772837252.1%9.2%92.7%101.9LUCKY
_Since Last GM Reset6228190542419516431780.6291953325272157656611217675371168453212568618710671673822.75%861187.21%1819157552.00%776153450.59%45689950.72%13918681350516102652150.6%9.0%92.3%101.2LUCKY
Total6228190542419516431780.6291953325272157656611217675371168453212568618710671673822.75%861187.21%1819157552.00%776153450.59%45689950.72%13918681350516102652150.6%9.0%92.3%101.2LUCKY

Puck Time
Offensive Zone 22
Neutral Zone 16
Defensive Zone 21
Puck Time
Offensive Zone Start 1575
Neutral Zone Start 899
Defensive Zone Start 1534
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2051
Faceoffs Lost 1957
Team Average Shots after League Average Shots after
1st Period 12.19.57
2nd Period 23.620.31
3rd Period 34.630.68
Overtime 35.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 2.01.65
3rd Period 3.02.67
Overtime 3.22.83
Even Strenght Goal 154
PP Goal 38
PK Goal 1
Empty Net Goal 2
Home Away
Win 1718
Lost 109
Overtime Lost 44
PP Attempt 167
PP Goal 38
PK Attempt 86
PK Goal Against 11
Home
Shots For 35.1
Shots Against 34.3
Goals For 3.1
Goals Against 2.6
Hits 17.2
Shots Blocked 11.1
Pim 3.0
Cap Hit
Stars
Projected Total Cap Hit82,518,558$
Projected Cap Space3,981,442$
Retains And Buyout Cap Hit2,500,000$
Salary Cap To Date62,245,025$
Players In Salary Cap23
LTIR Players0
Player Name Pos Age Cap Hit 2016-2017 2017-2018 2018-2019 2019-2020 2020-2021 2021-2022 2022-2023 2023-2024
Brandon SutterC/RW332,250,000$2,250,000$
Brenden Dillon D314,000,000$4,000,000$ 4,000,000$ 4,000,000$
Carter Hart C232,500,000$2,500,000$ 9,000,000$ 9,000,000$ 9,000,000$ 9,000,000$
Darnell Nurse D278,250,000$8,250,000$8,250,000$
Evander KaneLW315,500,000$5,500,000$5,500,000$5,500,000$
Jake GardinerD321,000,000$1,000,000$1,000,000$1,000,000$
Jesper Fast RW30800,000$800,000$ 800,000$ 800,000$
Kailer Yamamoto LW/RW231,650,000$1,650,000$ 3,500,000$ 3,500,000$ 3,500,000$ 3,500,000$
Keith YandleD354,750,000$4,750,000$4,750,000$4,750,000$
Luke SchennD32800,000$800,000$
Marc-Andre FleuryC371,250,000$1,250,000$
Max PaciorettyLW335,000,000$5,000,000$5,000,000$5,000,000$
Mika ZibanejadC297,500,000$7,500,000$7,500,000$
Nicholas Henry RW231,750,000$1,750,000$ 1,750,000$
Nick Suzuki C/RW236,500,000$6,500,000$6,500,000$
Ryan StromeC/RW296,000,000$6,000,000$
Sam Steel C/LW241,300,000$1,300,000$ 3,500,000$ 3,500,000$ 3,500,000$ 3,500,000$
Steven StamkosC/RW3210,000,000$10,000,000$10,000,000$10,000,000$
Torey Krug D313,250,000$3,250,000$3,250,000$3,250,000$3,250,000$
Tyler Pitlick C/RW30685,000$685,000$ 685,000$
Zach Bogosian D32775,000$775,000$
Zach Werenski D254,000,000$4,000,000$4,000,000$
Zack Smith C/LW34800,000$800,000$ 800,000$

Lines
Forward Lines


#0 - Max Pacioretty


#0 - Mika Zibanejad


#0 - Steven Stamkos


#0 - Evander Kane


#0 - Ryan Strome


#0 - Nick Suzuki


#0 - Kailer Yamamoto


#0 - Sam Steel


#0 - Nicholas Henry


#0 - Zack Smith


#0 - Brandon Sutter


#0 - Tyler Pitlick

Defensive Pairings


#0 - Torey Krug


#0 - Darnell Nurse


#0 - Zach Werenski


#0 - Brenden Dillon


#0 - Jake Gardiner


#0 - Keith Yandle

1st Power Play Unit


#0 - Sam Steel


#0 - Mika Zibanejad


#0 - Steven Stamkos


#0 - Torey Krug


#0 - Darnell Nurse

2nd Power Play Unit


#0 - Evander Kane


#0 - Ryan Strome


#0 - Kailer Yamamoto


#0 - Zach Werenski


#0 - Keith Yandle

Goalies


#0 - Marc-Andre Fleury


#0 - Carter Hart

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
Cole HuckinsStarsStars448
Daniil OrlovStarsStars665
Joshua LopinaStarsStars568
Kyle KukkonenStarsStars592
Marat KhusnutdinovStarsStars223
Stephen HallidayStarsStars271
Thimo NicklStarsStars247
Ty VoitStarsStars496
Tyson GallowayStarsStars489
Vladmir GrudininStarsStars689
Schedule
DateMatchup Result Detail
2022-08-29StarsWild@StarsStarsWild1,Stars5RECAP
2022-08-31StarsAvalanche@StarsStarsAvalanche3,Stars4RECAP
2022-09-01StarsStars@StarsWildStars2,Wild3 (SO)RECAP
2022-09-03StarsJets@StarsStarsJets5,Stars1RECAP
2022-09-04StarsStars@StarsBluesStars4,Blues2RECAP
2022-09-06StarsCoyotes@StarsStarsCoyotes3,Stars6RECAP
2022-09-08StarsStars@StarsCoyotesStars3,Coyotes4 (SO)RECAP
2022-09-09StarsStars@StarsJetsStars3,Jets5RECAP
2022-09-10StarsStars@StarsAvalancheStars2,Avalanche3RECAP
2022-09-11StarsBlues@StarsStarsBlues2,Stars1RECAP
2022-09-13StarsGolden Knights@StarsStarsGolden Knights3,Stars2 (OT)RECAP
2022-09-15StarsOilers@StarsStarsOilers3,Stars2RECAP
2022-09-17StarsStars@StarsGolden KnightsStars3,Golden Knights1RECAP
2022-09-18StarsCoyotes@StarsStarsCoyotes1,Stars3RECAP
2022-09-19StarsStars@StarsCoyotesStars3,Coyotes2 (SO)RECAP
2022-09-20StarsLightning@StarsStarsLightning4,Stars5 (OT)RECAP
2022-09-22StarsStars@StarsFlyersStars1,Flyers3RECAP
2022-09-23StarsStars@StarsWildStars1,Wild2 (OT)RECAP
2022-09-25StarsMaple Leafs@StarsStarsMaple Leafs5,Stars4RECAP
2022-09-27StarsStars@StarsDevilsStars3,Devils4 (OT)RECAP
2022-09-28StarsCoyotes@StarsStarsCoyotes4,Stars1RECAP
2022-09-29StarsBruins@StarsStarsBruins2,Stars3RECAP
2022-09-30StarsStars@StarsWildStars5,Wild1RECAP
2022-10-02StarsDucks@StarsStarsDucks1,Stars3RECAP
2022-10-04StarsStars@StarsDucksStars2,Ducks1RECAP
2022-10-05StarsStars@StarsRangersStars4,Rangers3RECAP
2022-10-07StarsFlyers@StarsStarsFlyers2,Stars4RECAP
2022-10-08StarsKings@StarsStarsKings5,Stars3RECAP
2022-10-10StarsStars@StarsBruinsStars3,Bruins1RECAP
2022-10-11StarsOilers@StarsStarsOilers2,Stars3 (OT)RECAP
2022-10-13StarsStars@StarsPanthersStars1,Panthers3RECAP
2022-10-14StarsJets@StarsStarsJets1,Stars4RECAP
2022-10-16StarsStars@StarsDucksStars4,Ducks2RECAP
2022-10-18StarsAvalanche@StarsStarsAvalanche3,Stars5RECAP
2022-10-19StarsStars@StarsJetsStars4,Jets1RECAP
2022-10-21StarsStars@StarsAvalancheStars3,Avalanche2 (OT)RECAP
2022-10-22StarsRed Wings@StarsStarsRed Wings4,Stars3 (SO)RECAP
2022-10-24StarsAvalanche@StarsStarsAvalanche2,Stars4RECAP
2022-10-25StarsStars@StarsAvalancheStars8,Avalanche3RECAP
2022-10-28StarsCanucks@StarsStarsCanucks1,Stars3RECAP
2022-10-29StarsStars@StarsJetsStars5,Jets3RECAP
2022-10-30StarsStars@StarsBluesStars1,Blues5RECAP
2022-11-01StarsDucks@StarsStarsDucks4,Stars3 (SO)RECAP
2022-11-03StarsKings@StarsStarsKings2,Stars1RECAP
2022-11-05StarsStars@StarsGolden KnightsStars2,Golden Knights1 (OT)RECAP
2022-11-06StarsStars@StarsCanucksStars2,Canucks3RECAP
2022-11-07StarsCanucks@StarsStarsCanucks1,Stars4RECAP
2022-11-09StarsSenators@StarsStarsSenators1,Stars6RECAP
2022-11-10StarsStars@StarsCanucksStars4,Canucks1RECAP
2022-11-12StarsStars@StarsSenatorsStars2,Senators5RECAP
2022-11-13StarsBlues@StarsStarsBlues0,Stars2RECAP
2022-11-15StarsJets@StarsStarsJets2,Stars6RECAP
2022-11-17StarsStars@StarsCanadiensStars2,Canadiens1RECAP
2022-11-18StarsStars@StarsBluesStars7,Blues3RECAP
2022-11-20StarsGolden Knights@StarsStarsGolden Knights3,Stars2 (OT)RECAP
2022-11-22StarsWild@StarsStarsWild7,Stars2RECAP
2022-11-24StarsStars@StarsSabresStars4,Sabres3 (OT)RECAP
2022-11-25StarsSabres@StarsStarsSabres2,Stars1RECAP
2022-11-27StarsStars@StarsMaple LeafsStars4,Maple Leafs6RECAP
2022-11-28StarsPanthers@StarsStarsPanthers3,Stars2RECAP
2022-11-29StarsStars@StarsKingsStars3,Kings4RECAP
2022-12-01StarsStars@StarsLightningStars2,Lightning1 (SO)RECAP
2022-12-02StarsCanadiens@StarsStars
2022-12-03StarsStars@StarsOilers
Trade Deadline --- Trades canít be done after this day is simulated!
2022-12-05StarsDevils@StarsStars
2022-12-07StarsBlues@StarsStars
2022-12-09StarsStars@StarsBlue Jackets
2022-12-10StarsStars@StarsOilers
2022-12-11StarsFlames@StarsStars
2022-12-13StarsRangers@StarsStars
2022-12-14StarsStars@StarsCoyotes
2022-12-15StarsStars@StarsRed Wings
2022-12-17StarsStars@StarsKings
2022-12-18StarsWild@StarsStars
2022-12-20StarsFlames@StarsStars
2022-12-23StarsStars@StarsFlames
2022-12-26StarsBlue Jackets@StarsStars
2022-12-27StarsStars@StarsFlames

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
80,310,000$ 2,500,000$ 82,518,558$ 3,981,442$

ArenaGoal HornAbout us
NameAmerican Airlines Center
CityDallas
Capacity18000
Season Ticket Holders50%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price300$150$100$75$400$
Attendance150240121205497339629229394
Attendance PCT80.77%78.20%80.21%77.65%94.82%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
8 14415 - 80.08% 4,191,493$129,936,268$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
80,310,000$ 80,310,000$ 0$ 2,500,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
64,223,652$ 658,279$ 62,245,025$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
33,531,940$ 27 678,770$ 18,326,790$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
19,385,310$ 82,518,558$ 772,908,504$ 790,569,664$
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Evander KaneAGE:31StarsCAN
Max PaciorettyAGE:33StarsUSA
Kailer YamamotoAGE:23StarsUSA
Zack SmithAGE:34StarsCAN
Sam SteelAGE:24StarsCAN
Rory KerinsAGE:20StarsCAN
Ben McCartneyAGE:21StarsCAN
Tim SchallerAGE:31StarsUSA
Anton WedinAGE:29StarsSWE
Patrik PuistolaAGE:21StarsFIN
Steven StamkosAGE:32StarsCAN
Nick SuzukiAGE:23StarsCAN
Mika ZibanejadAGE:29StarsSWE
Ryan StromeAGE:29StarsCAN
Brandon SutterAGE:33StarsUSA
Zack SmithAGE:34StarsCAN
Tyler PitlickAGE:30StarsUSA
Sam SteelAGE:24StarsCAN
Riley KidneyAGE:19StarsCAN
Bear HughesAGE:21StarsUSA
Jake LeschyshynAGE:23StarsCAN
Sam GagnerAGE:32StarsCAN
Kevin RooneyAGE:29StarsUSA
Zac DalpeAGE:32StarsCAN
Sam CarrickAGE:30StarsCAN
Steven StamkosAGE:32StarsCAN
Nick SuzukiAGE:23StarsCAN
Nicholas HenryAGE:23StarsCAN
Kailer YamamotoAGE:23StarsUSA
Ryan StromeAGE:29StarsCAN
Brandon SutterAGE:33StarsUSA
Tyler PitlickAGE:30StarsUSA
Jesper FastAGE:30StarsSWE
Jordan DumaisAGE:18StarsCAN
Zack KassianAGE:31StarsCAN
Sam GagnerAGE:32StarsCAN
Tim SchallerAGE:31StarsUSA
Matt LuffAGE:25StarsCAN
Anton WedinAGE:29StarsSWE
Patrik PuistolaAGE:21StarsFIN
Zac DalpeAGE:32StarsCAN
Sam CarrickAGE:30StarsCAN

Defense #1Defense #2Goalie
Keith YandleAGE:35StarsUSA
Torey KrugAGE:31StarsUSA
Brenden DillonAGE:31StarsCAN
Jake GardinerAGE:32StarsUSA
Darnell NurseAGE:27StarsCAN
Zach WerenskiAGE:25StarsUSA
Zach BogosianAGE:32StarsUSA
Luke SchennAGE:32StarsCAN
Jackson van de LeestAGE:21StarsCAN
Mac HollowellAGE:24StarsCAN
Brandon DavidsonAGE:30StarsCAN
Brandon ManningAGE:32StarsCAN
Connor CarrickAGE:28StarsUSA
Simon BenoitAGE:23StarsCAN
Alex BiegaAGE:34StarsCAN
Taylor FedunAGE:34StarsCAN
Sean WalkerAGE:27StarsCAN
Carter HartAGE:23StarsCAN
Marc-Andre FleuryAGE:37StarsCAN
Keith KinkaidAGE:33StarsUSA
Elvis MerzlikinsAGE:28StarsLVA
Lukas DostalAGE:22StarsCZE

Draft Picks
Year Round 1Round 2Round 3Round 4
7
8
9
10
11

** Conditional Draft Pick That Have Been Traded

Injuries
No Injury or Suspension.

Game Center

Stars35-19-8, 78pts34Final
Kings38-21-4, 80pts

Stars35-19-8, 78pts21Final
Lightning25-26-11, 61pts

Canadiens26-29-7, 59ptsFri, Dec 02American Airlines Center
Stars35-19-8, 78pts

Stars35-19-8, 78ptsSat, Dec 03Rogers Place
Oilers33-23-8, 74pts

Devils34-18-10, 78ptsMon, Dec 05American Airlines Center
Stars35-19-8, 78pts

Team Leaders

GOALS
Steven Stamkos
26
ASSISTS
Mika Zibanejad
38
POINTS
Ryan Strome
56
PLUS/MINUS
Brandon Sutter
11
WINS
Carter Hart
32
SV%
Carter Hart
0.926

Team Stats


Goals For
195
3.15 GFG
Shots For
2176
35.10 Avg
Power Play Percentage
22.8%
38 GF
Offensive Zone Start
50.7%
Goals Against
164
2.65 GAA
Shots Against
2125
34.27 Avg
Penalty Kill Percentage
87.2%
11 GA
Defensive Zone Start
49.3%
 

Team Info

Stars
General ManagerJeff Shirley
Head CoachJared Bednar
Captain
DivisionCentral

Stars Affiliation

Stars
Team NameStars
CityTexas
Head CoachMike Yeo
DivisionCentral

Arena Info

StadiumAmerican Airlines Center
Capacity18,000
Attendance14,415
Season Tickets9,000

Salary Cap

Total Cap Hit82,518,558$
Cap Space3,981,442$
Retains & Buyout2,500,000$
Players In Salary Cap23

Finance

Team Revenue129,936,268$
Estimated Revenue166,982,738$
Estimated Expenses82,550,442$
Operating Income84,432,296$
Bank Account772,908,504$

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain