Final/OT
COL2
VAN3
Final
MIN5
TOR1
Final
LAK3
DAL2
Final/SO
WPG1
STL2
Final
DET4
VGK2
Final/SO
OTT3
TBL2
Final
MON2
MIN5
Final
BUF4
EDM2
Final
CBJ1
BOS5
Final
NYR2
ARI1
Final
CGY2
FLA3
Final
NJD3
PHI2
Final
WPG4
ANA2
Final
LAK3
COL5
Final
DAL1
VAN3
Final
VGK4
TOR3
Full Scoreboard ยป
StarsDallas Stars
14-18-6, 34pts · 11th 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 Zibanejad0C100.006615939185989493909594688378797643833012,500,000$/4yrs
Ryan Strome0C/RW100.006217958572829389859482805375767343793011,000,000$/3yrs
Johnny Gaudreau0LW100.0031199965896989631999843437374784379308,250,000$/4yrs
Kailer Yamamoto0LW/RW100.0091886875867647216929267255858714372243,500,000$/3yrs
Dominik Kubalik0LW/RW100.00621399856862767728709168256565674371282,500,000$/2yrs
Sam Steel0C/LW100.0031199826978808285838956255858614371253,500,000$/3yrs
Antoine Roussel0LW100.0062246379717886624676656975777866466933685,000$/1yrs
Reid Boucher0LW/RW100.0047239984707877754770756167707059436930685,000$/1yrs
Brandon Sutter0C/RW100.006049975729262648655658163828467436834900,000$/3yrs
Riley Sheahan0C/LW100.0054149980797999588560597875757762436831775,000$/3yrs
Brett Connolly40LW/RW100.005129982758093673275784125757770466831685,000$/1yrs
Zack Kassian0RW100.0074387583798394612562716225686972466732800,000$/1yrs
Darnell Nurse0D98.00873667808690907625806284638383534378288,000,000$/4yrs
Zach Werenski0D98.0035199958199979025826682257677544377267,000,000$/4yrs
Brenden Dillon0D100.00751789848590996325614784257274654375324,000,000$/1yrs
Jake Gardiner0D100.0060497847298897625724876257273654373331,000,000$/1yrs
Mac Hollowell0D100.00441790806380958727887472616060744372252,000,000$/4yrs
Kevin Connauton8D100.007269683779079582552477825737455227133685,000$/1yrs
Scratches
Cole Huckins (R)0RW100.0059356770727785646354635666404090206020925,000$/3yrs
Torey Krug0D100.00561294866698879125865077426870682474323,250,000$/2yrs
TEAM AVERAGE99.80591490847385877545757169467071674072
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 Hart099.0095858668839999999986956262595384259,000,000$/3yrs
Marc-Andre Fleury0100.008081817378838584858080889481537938700,000$/1yrs
Scratches
TEAM AVERAGE99.5088838471819192929283887578705382
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar65838764775863CAN5052,500,000$
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
1Johnny GaudreauStarsStars0LW381521364403017251838.72%1220.573101385101703048.98%494710000.9200
2Mika ZibanejadStarsStars0C389273611606313030836.92%2020.57581385000670157.66%9852915000.9212
3Ryan StromeStarsStars0C/RW38111324-14006912436588.87%1518.8944885000733056.51%5382712000.6702
4Sam SteelStarsStars0C/LW3810919-5002112533758.00%1515.5512383000140053.57%4202511000.6400
5Zach WerenskiStarsStars0D3821517-130088733342.30%4924.300338900078000.00%01830000.3700
6Dominik KubalikStarsStars0LW/RW3887158405841181919.51%818.021238200000127.69%65311000.4400
7Kailer YamamotoStarsStars0LW/RW389615-111208410826608.33%2218.0711282000643224.55%1674119000.4411
8Darnell NurseStarsStars0D385611-1558010850211610.00%5123.713148900049000.00%0925100.2400
9Reid BoucherStarsStars0LW/RW38459-800228733604.60%1313.03000200000026.09%23117000.3600
10Mac HollowellStarsStars0D384484200115727187.02%3118.871018101138000.00%01921000.2200
11Antoine RousselStarsStars0LW38246-7340573810245.26%1713.21000300040047.37%19412000.2400
12Jake GardinerStarsStars0D38066-640152320120.00%5116.5900020009000.00%0215000.1900
13Riley SheahanStarsStars0C/LW38426-500132682115.38%98.21000000002055.56%907000.3800
14Torey KrugStarsStars0D25156300273616132.78%2719.890006200048000.00%0223000.2400
15Brett ConnollyStarsStars40LW/RW38246-82014277157.41%714.04000000001044.00%2585000.2200
16Zack KassianStarsStars0RW38325-4100336518284.62%48.19000000000020.00%10125000.3200
17Brandon SutterStarsStars0C/RW38134-400132715273.70%88.81000600020063.56%118105000.2400
18Brenden DillonStarsStars0D38033-7160542511170.00%4018.650111900071000.00%0332000.0800
19Kevin ConnautonStarsStars8D14000-100128580.00%1015.1400000001000.00%008000.0000
Team Total or Average68590142232-88180071212564186717.17%40916.5319325186311259612453.05%2428270273100.4125
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 HartStars38141850.9122.882168211041177469221.0006380245
2Marc-Andre FleuryStars40010.9292.271320057030000.0000038000
Team Total or Average42141860.9132.842300211091247499221.00063838245
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
1StarsKings31200000910-120.333914231025201083335400913712584125.00%6350.00%049593852.77%50694853.38%28751256.05%64406625492453.3%8.3%89.0%97.3Unlucky
2StarsOilers2110000078-120.5007101700151069152826062136369444.44%3233.33%149593852.77%50694853.38%28751256.05%41244317341833.3%10.1%87.1%97.2FUN
3StarsCanucks3210000066040.66761117014020954226270893310517114.29%50100.00%049593852.77%50694853.38%28751256.05%67426226492445.5%6.3%93.3%99.6DULL
4StarsAvalanche3010011048-430.5004590011119333243351123918626233.33%9188.89%049593852.77%50694853.38%28751256.05%66406826502422.2%4.3%92.9%97.2DULL
5StarsBlues522001001315-250.500132134006430140404852017752308711327.27%15566.67%049593852.77%50694853.38%28751256.05%1035911244834150.0%9.3%91.5%100.8LUCKY
6StarsJets4020101089-140.5008122000222212038532841384918801715.88%9188.89%049593852.77%50694853.38%28751256.05%90528735683546.7%6.7%93.5%100.1DULL
7StarsBruins1100000052321.00058130014003411111202998174125.00%4175.00%049593852.77%50694853.38%28751256.05%221320816880.0%14.7%93.1%107.8LUCKY
8StarsCoyotes40300100813-510.12581321003230139473656012436186917423.53%9277.78%049593852.77%50694853.38%28751256.05%87508634673526.7%5.8%89.5%95.3Unlucky
9StarsDucks3120000079-220.333712191013301163637430954520566116.67%10280.00%049593852.77%50694853.38%28751256.05%67416124512646.2%6.0%90.5%96.6Unlucky
10StarsSenators1000010023-110.500224002000472391053372243133.33%110.00%049593852.77%50694853.38%28751256.05%3020167171033.3%4.3%90.9%95.2Unlucky
11StarsWild3200010096350.8339122100162099382930299311265600.00%6183.33%049593852.77%50694853.38%28751256.05%65406725502664.3%9.1%93.9%103.0LUCKY
12StarsRangers20200000410-600.000461000112065212816072176331100.00%3166.67%049593852.77%50694853.38%28751256.05%46274017331730.8%6.2%86.1%92.3Unlucky
13StarsRed Wings1000100032121.00035800011136135171345615000.00%30100.00%049593852.77%50694853.38%28751256.05%221420916760.0%8.3%94.1%102.5DULL
14StarsPanthers2010010057-210.250581300212068251627065241043100.00%50100.00%049593852.77%50694853.38%28751256.05%41244617341641.7%7.4%89.2%96.6Unlucky
15StarsDevils1010000023-100.00023500002027612902912616100.00%3166.67%049593852.77%50694853.38%28751256.05%191122917850.0%7.4%89.7%97.1Unlucky
_Vs Division1948014204251-9180.47442631050013151135911961901991165020796363571017.54%481079.17%049593852.77%50694853.38%28751256.05%41424342216632116343.8%7.1%92.2%99.3DULL
_Vs Conference30914014207184-13280.4677111018121212819397932231633511987335144564831720.48%721776.39%149593852.77%50694853.38%28751256.05%65639265525950625744.6%7.3%91.5%98.7DULL
_Since Last GM Reset3810180262092111-19340.4479214223421273526412564213974261712494091827121031918.45%912176.92%149593852.77%50694853.38%28751256.05%83950382432764132744.8%7.3%91.1%98.4Unlucky
Total3810180262092111-19340.4479214223421273526412564213974261712494091827121031918.45%912176.92%149593852.77%50694853.38%28751256.05%83950382432764132744.8%7.3%91.1%98.4Unlucky

Puck Time
Offensive Zone 22
Neutral Zone 16
Defensive Zone 21
Puck Time
Offensive Zone Start 938
Neutral Zone Start 512
Defensive Zone Start 948
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1288
Faceoffs Lost 1110
Team Average Shots after League Average Shots after
1st Period 11.19.57
2nd Period 21.520.31
3rd Period 32.730.68
Overtime 33.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.70.64
2nd Period 1.61.65
3rd Period 2.32.67
Overtime 2.42.83
Even Strenght Goal 70
PP Goal 19
PK Goal 1
Empty Net Goal 2
Home Away
Win 68
Lost 99
Overtime Lost 33
PP Attempt 103
PP Goal 19
PK Attempt 91
PK Goal Against 21
Home
Shots For 33.1
Shots Against 32.9
Goals For 2.4
Goals Against 2.9
Hits 18.7
Shots Blocked 10.8
Pim 4.8
Cap Hit
Stars
Projected Total Cap Hit88,343,124$
Projected Cap Space1,656,876$
Retains And Buyout Cap Hit6,000,000$
Salary Cap To Date38,391,395$
Players In Salary Cap23
LTIR Players0
Player Name Pos Age Cap Hit 2018-2019 2019-2020 2020-2021 2021-2022 2022-2023 2023-2024 2024-2025 2025-2026
Antoine Roussel LW33685,000$685,000$
Brandon Sutter C/RW34900,000$900,000$ 900,000$ 900,000$
Brenden Dillon D324,000,000$4,000,000$
Brett Connolly LW/RW31685,000$685,000$
Carter Hart C259,000,000$9,000,000$ 9,000,000$ 9,000,000$
Cole Huckins RW20925,000$925,000$ 925,000$ 925,000$
Darnell NurseD288,000,000$8,000,000$8,000,000$8,000,000$8,000,000$
Dominik Kubalik LW/RW282,500,000$2,500,000$ 2,500,000$
Jake GardinerD331,000,000$1,000,000$
Johnny GaudreauLW308,250,000$8,250,000$8,250,000$8,250,000$8,250,000$
Kailer Yamamoto LW/RW243,500,000$3,500,000$ 3,500,000$ 3,500,000$
Kevin Connauton D33685,000$685,000$
Mac Hollowell D252,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$
Marc-Andre FleuryC/LW38700,000$700,000$
Mika ZibanejadC3012,500,000$12,500,000$12,500,000$12,500,000$12,500,000$
Reid Boucher LW/RW30685,000$685,000$
Riley Sheahan C/LW31775,000$775,000$ 775,000$ 775,000$
Ryan StromeC/RW3011,000,000$11,000,000$11,000,000$11,000,000$
Sam Steel C/LW253,500,000$3,500,000$ 3,500,000$ 3,500,000$
Torey Krug D323,250,000$3,250,000$3,250,000$
Zach WerenskiD267,000,000$7,000,000$7,000,000$7,000,000$7,000,000$
Zack Kassian RW32800,000$800,000$

Lines
Forward Lines


#0 - Johnny Gaudreau


#0 - Mika Zibanejad


#0 - Dominik Kubalik


#0 - Kailer Yamamoto


#0 - Ryan Strome


#40 - Brett Connolly


#0 - Antoine Roussel


#0 - Sam Steel


#0 - Reid Boucher


#0 - Riley Sheahan


#0 - Brandon Sutter


#0 - Zack Kassian

Defensive Pairings


#0 - Darnell Nurse


#0 - Zach Werenski


#0 - Mac Hollowell


#8 - Kevin Connauton


#0 - Jake Gardiner


#0 - Brenden Dillon

1st Power Play Unit


#0 - Johnny Gaudreau


#0 - Mika Zibanejad


#0 - Ryan Strome


#0 - Darnell Nurse


#0 - Zach Werenski

2nd Power Play Unit


#0 - Sam Steel


#0 - Kailer Yamamoto


#0 - Dominik Kubalik


#0 - Mac Hollowell


#0 - Brenden Dillon

Goalies


#0 - Carter Hart


#0 - Marc-Andre Fleury

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
Albert WikmanStarsStars889
Brandon SvobodaStarsStars865
Daniil OrlovStarsStars665
Filip BystedtStarsStars718
Garrett BrownStarsStars766
Kyle KukkonenStarsStars592
Vladmir GrudininStarsStars689
Schedule
DateMatchup Result Detail
2023-09-26StarsStars@StarsCoyotesStars4,Coyotes5 (OT)RECAP
2023-09-27StarsStars@StarsRangersStars2,Rangers3RECAP
2023-09-29StarsBlues@StarsStarsBlues4,Stars0RECAP
2023-10-01StarsBlues@StarsStarsBlues4,Stars3 (OT)RECAP
2023-10-03StarsJets@StarsStarsJets2,Stars3 (SO)RECAP
2023-10-05StarsStars@StarsBluesStars4,Blues2RECAP
2023-10-07StarsCoyotes@StarsStarsCoyotes3,Stars2RECAP
2023-10-10StarsStars@StarsJetsStars4,Jets3 (OT)RECAP
2023-10-11StarsWild@StarsStarsWild2,Stars1 (OT)RECAP
2023-10-13StarsBlues@StarsStarsBlues4,Stars3RECAP
2023-10-16StarsStars@StarsAvalancheStars1,Avalanche5RECAP
2023-10-18StarsStars@StarsWildStars4,Wild2RECAP
2023-10-20StarsAvalanche@StarsStarsAvalanche1,Stars2 (SO)RECAP
2023-10-21StarsStars@StarsCoyotesStars1,Coyotes2RECAP
2023-10-23StarsDucks@StarsStarsDucks3,Stars2RECAP
2023-10-25StarsCoyotes@StarsStarsCoyotes3,Stars1RECAP
2023-10-27StarsStars@StarsBruinsStars5,Bruins2RECAP
2023-10-29StarsStars@StarsRangersStars2,Rangers7RECAP
2023-10-31StarsStars@StarsKingsStars5,Kings3RECAP
2023-11-01StarsStars@StarsJetsStars0,Jets2RECAP
2023-11-02StarsCanucks@StarsStarsCanucks0,Stars1RECAP
2023-11-04StarsStars@StarsAvalancheStars1,Avalanche2 (OT)RECAP
2023-11-06StarsRed Wings@StarsStarsRed Wings2,Stars3 (OT)RECAP
2023-11-09StarsJets@StarsStarsJets2,Stars1RECAP
2023-11-10StarsStars@StarsKingsStars2,Kings4RECAP
2023-11-12StarsSenators@StarsStarsSenators3,Stars2 (OT)RECAP
2023-11-14StarsStars@StarsDucksStars3,Ducks5RECAP
2023-11-16StarsStars@StarsDucksStars2,Ducks1RECAP
2023-11-18StarsWild@StarsStarsWild2,Stars4RECAP
2023-11-20StarsStars@StarsBluesStars3,Blues1RECAP
2023-11-22StarsPanthers@StarsStarsPanthers4,Stars3RECAP
2023-11-23StarsStars@StarsOilersStars5,Oilers4RECAP
2023-11-25StarsStars@StarsPanthersStars2,Panthers3 (OT)RECAP
2023-11-26StarsDevils@StarsStarsDevils3,Stars2RECAP
2023-11-29StarsCanucks@StarsStarsCanucks3,Stars4RECAP
2023-11-30StarsStars@StarsOilersStars2,Oilers4RECAP
2023-12-02StarsKings@StarsStarsKings3,Stars2RECAP
2023-12-03StarsStars@StarsCanucksStars1,Canucks3RECAP
2023-12-05StarsStars@StarsWild
2023-12-07StarsMaple Leafs@StarsStars
2023-12-09StarsDucks@StarsStars
2023-12-10StarsStars@StarsMaple Leafs
2023-12-11StarsOilers@StarsStars
2023-12-14StarsBlues@StarsStars
2023-12-15StarsStars@StarsGolden Knights
2023-12-17StarsCanadiens@StarsStars
2023-12-19StarsStars@StarsGolden Knights
2023-12-20StarsStars@StarsJets
2023-12-22StarsStars@StarsRed Wings
2023-12-23StarsWild@StarsStars
2023-12-25StarsAvalanche@StarsStars
2023-12-27StarsStars@StarsLightning
2023-12-28StarsOilers@StarsStars
2023-12-30StarsRangers@StarsStars
2023-12-31StarsStars@StarsFlyers
2024-01-02StarsStars@StarsBlue Jackets
2024-01-03StarsStars@StarsWild
2024-01-05StarsAvalanche@StarsStars
2024-01-07StarsSabres@StarsStars
2024-01-08StarsStars@StarsSabres
2024-01-09StarsStars@StarsAvalanche
2024-01-10StarsBlue Jackets@StarsStars
2024-01-12StarsStars@StarsSenators
2024-01-14StarsKings@StarsStars
2024-01-17StarsCoyotes@StarsStars
2024-01-18StarsStars@StarsBlues
2024-01-19StarsStars@StarsCoyotes
2024-01-21StarsStars@StarsFlames
Trade Deadline --- Trades can’t be done after this day is simulated!
2024-01-22StarsBruins@StarsStars
2024-01-24StarsLightning@StarsStars
2024-01-26StarsStars@StarsCanucks
2024-01-27StarsFlames@StarsStars
2024-01-29StarsStars@StarsFlames
2024-01-31StarsFlames@StarsStars
2024-02-03StarsJets@StarsStars
2024-02-04StarsStars@StarsRangers
2024-02-07StarsStars@StarsDevils
2024-02-08StarsBruins@StarsStars
2024-02-10StarsFlyers@StarsStars
2024-02-13StarsGolden Knights@StarsStars
2024-02-14StarsStars@StarsCanadiens
2024-02-18StarsGolden Knights@StarsStars

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
83,140,009$ 6,000,000$ 88,343,124$ 1,656,876$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price300$150$100$75$400$
Attendance8356570106275195704216921
Attendance PCT77.38%77.90%76.44%79.23%94.01%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
23 14175 - 78.75% 4,087,885$73,581,936$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
83,140,009$ 83,140,009$ 0$ 6,000,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
39,929,956$ 556,351$ 38,391,395$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
94,021,363$ 79 578,649$ 45,713,271$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
48,050,144$ 88,343,124$ 967,968,193$ 1,022,210,370$
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Johnny GaudreauAGE:30StarsUSA
Kailer YamamotoAGE:24StarsUSA
Brett ConnollyAGE:31StarsCAN
Dominik KubalikAGE:28StarsCZE
Antoine RousselAGE:33StarsFRA
Riley SheahanAGE:31StarsCAN
Sam SteelAGE:25StarsCAN
Reid BoucherAGE:30StarsUSA
Rory KerinsAGE:21StarsCAN
Anton WedinAGE:30StarsSWE
Ben McCartneyAGE:22StarsCAN
Mika ZibanejadAGE:30StarsSWE
Ryan StromeAGE:30StarsCAN
Brandon SutterAGE:34StarsUSA
Riley SheahanAGE:31StarsCAN
Sam SteelAGE:25StarsCAN
Cole SillingerAGE:20StarsUSA
Theo RochetteAGE:21StarsCAN
Bear HughesAGE:22StarsUSA
Jake LeschyshynAGE:24StarsCAN
Riley SutterAGE:24StarsCAN
Kevin RooneyAGE:30StarsUSA
Ryan StromeAGE:30StarsCAN
Zack KassianAGE:32StarsCAN
Kailer YamamotoAGE:24StarsUSA
Brett ConnollyAGE:31StarsCAN
Brandon SutterAGE:34StarsUSA
Dominik KubalikAGE:28StarsCZE
Reid BoucherAGE:30StarsUSA
Cole HuckinsAGE:20StarsCAN
Jordan DumaisAGE:19StarsCAN
Jesper FastAGE:31StarsSWE
Taylor RaddyshAGE:25StarsCAN
Matt LuffAGE:26StarsCAN
Anton WedinAGE:30StarsSWE

Defense #1Defense #2Goalie
Mac HollowellAGE:25StarsCAN
Brenden DillonAGE:32StarsCAN
Jake GardinerAGE:33StarsUSA
Kevin ConnautonAGE:33StarsCAN
Zach WerenskiAGE:26StarsUSA
Darnell NurseAGE:28StarsCAN
Torey KrugAGE:32StarsUSA
Nolan CollinsAGE:19StarsCAN
Scott WalfordAGE:24StarsCAN
Brandon DavidsonAGE:32StarsCAN
Taylor FedunAGE:35StarsCAN
Calle RosenAGE:29StarsSWE
Simon BenoitAGE:25StarsCAN
Tyson GallowayAGE:20StarsCAN
Connor CarrickAGE:29StarsUSA
Carter HartAGE:25StarsCAN
Marc-Andre FleuryAGE:38StarsCAN
MacKenzie BlackwoodAGE:26StarsCAN
Elvis MerzlikinsAGE:29StarsLVA
Keith KinkaidAGE:34StarsUSA

Draft Picks
Year Round 1Round 2Round 3Round 4
9**
10
11
12
13

** Conditional Draft Pick That Have Been Traded

Injuries
No Injury or Suspension.

Game Center

Kings19-16-2, 40pts32Final
Stars14-18-6, 34pts

Stars14-18-6, 34pts13Final
Canucks17-14-6, 40pts

Stars14-18-6, 34ptsTue, Dec 05Xcel Energy Center
Wild22-12-4, 48pts

Maple Leafs19-15-3, 41ptsThu, Dec 07American Airlines Center
Stars14-18-6, 34pts

Ducks12-18-7, 31ptsSat, Dec 09American Airlines Center
Stars14-18-6, 34pts

Team Leaders

GOALS
Johnny Gaudreau
15
ASSISTS
Mika Zibanejad
27
POINTS
Johnny Gaudreau
36
PLUS/MINUS
Dominik Kubalik
8
WINS
Carter Hart
14
SV%
Marc-Andre Fleury
0.929

Team Stats


Goals For
92
2.42 GFG
Shots For
1256
33.05 Avg
Power Play Percentage
18.4%
19 GF
Offensive Zone Start
49.7%
Goals Against
111
2.92 GAA
Shots Against
1249
32.87 Avg
Penalty Kill Percentage
76.9%
21 GA
Defensive Zone Start
50.3%
 

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
Attendance14,175
Season Tickets9,000

Salary Cap

Total Cap Hit88,343,124$
Cap Space1,656,876$
Retains & Buyout6,000,000$
Players In Salary Cap23

Finance

Team Revenue73,581,936$
Estimated Revenue175,874,257$
Estimated Expenses85,643,227$
Operating Income90,231,030$
Bank Account967,968,193$

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain