StarsDallas Stars
7-1-0, 14pts · 1st in Western Conference
Roster
# Player POS Height Weight Age Born Birthplace Condition Contract
0Jamie BennLW 6' 2" 20530July 18, 1989StarsCAN100.009,500,000$/6yrs
0Joe PavelskiC/RW 5' 11" 19035July 11, 1984StarsUSA98.007,250,000$/3yrs
0Corey PerryRW 6' 3" 20634May 16, 1985StarsCAN100.008,625,000$/2yrs
0Jay BeagleC 6' 3" 21034October 16, 1985StarsCAN100.002,500,000$/2yrs
0Tyler SeguinC 6' 1" 20027January 31, 1992StarsCAN99.009,850,000$/8yrs
0Alexander RadulovRW 6' 1" 20533July 05, 1986StarsRUS100.006,250,000$/3yrs
0Antoine RousselLW 5' 11" 19929November 21, 1989StarsFRA100.002,800,000$/2yrs
0Tyler PitlickC 6' 2" 20027November 01, 1991StarsUSA100.001,000,000$/1yrs
0Devin ShoreC 6' 1" 20525July 19, 1994StarsCAN100.002,250,000$/1yrs
0Jason DickinsonC/LW 6' 2" 20024July 04, 1995StarsCAN100.001,500,000$/2yrs
0Mattias JanmarkC/LW/RW 6' 1" 19526December 08, 1992StarsSWE100.002,300,000$/1yrs
0Roope HintzC/LW 6' 3" 21522November 17, 1996StarsFIN100.00800,000$/1yrs
0Miro HeiskanenD 6' 1" 18520July 18, 1999StarsFIN100.00925,000$/2yrs
0Roman PolakD 6' 2" 24033April 28, 1986StarsCZE100.001,750,000$/1yrs
0John KlingbergD 6' 2" 18027August 14, 1992StarsSWE100.004,250,000$/3yrs
0Taylor FedunD 6' 1" 20131June 04, 1988StarsCAN100.00737,500$/2yrs
0Esa LindellD 6' 3" 21525May 23, 1994StarsFIN99.505,800,000$/6yrs
Scratches
0Martin HanzalC 6' 6" 23032February 20, 1987StarsCZE0.004,750,000$/1yrs
0Jordan SzwarzC/RW 5' 11" 20028May 14, 1991StarsCAN100.00800,000$/1yrs
0Stephen JohnsD 6' 4" 22127April 18, 1992StarsUSA0.002,350,000$/2yrs
0Julius HonkaD 5' 11" 18023December 03, 1995StarsFIN100.00
# Goalie Pos Height Weight Age Born Birthplace Condition Contract
0Anders NilssonG 6' 6" 23229March 19, 1990StarsSWE100.002,200,000$/1yrs
0Ben BishopG 6' 7" 21532November 21, 1986StarsUSA98.004,916,667$/4yrs
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Montgomery82947784746976CAN492800,000$
General Manager
Maxime Proulx
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 MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Miro HeiskanenStarsStars0D8210129000197810.53%1224.680112200020110.00%000001.2200
2Alexander RadulovStarsStars0RW84610500103432511.76%020.832131800091030.77%1300001.2000
3Tyler SeguinStarsStars0C845962044111289.76%020.09101200091157.20%23600011.1200
4Joe PavelskiStarsStars0C/RW8358120829162310.34%321.6911222000210154.00%15000000.9200
5Jamie BennStarsStars0LW84375100182561416.00%319.870111700051050.00%1600000.8800
6John KlingbergStarsStars0D81670601111329.09%222.600441800018000.00%000000.7700
7Esa LindellStarsStars0D8134710024228154.55%925.191012400014000.00%000000.4000
8Jay BeagleStarsStars0C803312069130.00%315.40000000020061.90%4200000.4900
9Jason DickinsonStarsStars0C/LW8213000131631512.50%017.361012000001053.57%2800000.4300
10Roope HintzStarsStars0C/LW821324011189611.11%115.13000200051054.55%1100000.5000
11Roman PolakStarsStars0D8022020273270.00%1318.720111600018000.00%000000.2700
12Corey PerryStarsStars0RW3202100052340.00%06.6300000000100.00%300002.0100
13Jordan SzwarzStarsStars0C/RW702200000000.00%02.32011000050054.55%1100002.4600
14Antoine RousselStarsStars0LW802214089230.00%07.53000000020066.67%300000.6600
15Tyler PitlickStarsStars0C8112000241325.00%17.170112000000028.57%700000.7000
16Devin ShoreStarsStars0C811204011165116.25%317.3100017000100043.87%21200000.2900
17Mattias JanmarkStarsStars0C/LW/RW8022200283110.00%215.44011100000042.86%2100000.3200
18Taylor FedunStarsStars0D8101020733133.33%816.3400000002000.00%000000.1500
Team Total or Average138285381404801622728517810.29%6016.81612182060001477351.39%75300010.7000
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
1Ben BishopStarsStars76100.9242.5442600182370000.000071010
2Anders NilssonStarsStars11000.9711.0060001350000.000017100
Team Total or Average87100.9302.3548600192720000.000088110
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
1StarsBruins1000100032121.00035800011140519133248022300.00%000.00%016131451.27%16030851.95%6912654.76%292122712760.0%7.5%91.7%99.2DULL
2StarsBlues1100000041321.0004812001120331017602962315240.00%110.00%016131451.27%16030851.95%6912654.76%2215237136100.0%12.1%96.6%108.7LUCKY
3StarsCapitals2110000078-120.50071320004210822629270751310328112.50%5260.00%016131451.27%16030851.95%6912654.76%53384213241350.0%8.5%89.3%97.9Unlucky
4StarsSabres1100000021121.000235000200287101103561225000.00%60100.00%016131451.27%16030851.95%6912654.76%201427811566.7%7.1%97.1%104.3DULL
5StarsFlames1100000043121.00048120002202289504315102711100.00%5180.00%016131451.27%16030851.95%6912654.76%191328611560.0%18.2%93.0%111.2LUCKY
6StarsBlue Jackets1000100032121.000369000201361115823858153133.33%4175.00%016131451.27%16030851.95%6912654.76%241624713666.7%8.3%94.7%103.1DULL
7StarsRed Wings1100000052321.00051015003020341512702876176116.67%3166.67%016131451.27%16030851.95%6912654.76%251720713780.0%14.7%92.9%107.6LUCKY
_Vs Division1100000041321.0004812001120331017602962315240.00%110.00%016131451.27%16030851.95%6912654.76%2215237136100.0%12.1%96.6%108.7LUCKY
_Vs Conference2200000084441.00081624001340551826110722112586350.00%6266.67%016131451.27%16030851.95%6912654.76%42285114251171.4%14.5%94.4%109.0LUCKY
_Since Last GM Reset8510200028199140.875285381008108227582111775272604816926623.08%24675.00%016131451.27%16030851.95%6912654.76%195137189591015062.9%10.2%93.0%103.2LUCKY
Total8510200028199140.875285381008108227582111775272604816926623.08%24675.00%016131451.27%16030851.95%6912654.76%195137189591015062.9%10.2%93.0%103.2LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 314
Neutral Zone Start 126
Defensive Zone Start 308
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 390
Faceoffs Lost 358
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 24.120.31
3rd Period 33.830.68
Overtime 34.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.31.65
3rd Period 3.32.67
Overtime 3.52.83
Even Strenght Goal 22
PP Goal 6
PK Goal 0
Empty Net Goal 0
Home Away
Win 34
Lost 01
Overtime Lost 00
PP Attempt 26
PP Goal 6
PK Attempt 24
PK Goal Against 6
Home
Shots For 34.4
Shots Against 34.0
Goals For 3.5
Goals Against 2.4
Hits 21.1
Shots Blocked 7.5
Pim 6.0
Cap Hit
Stars
Projected Total Cap Hit76,041,074$
Projected Cap Space5,458,926$
Retains And Buyout Cap Hit0$
Salary Cap To Date6,574,824$
Players In Salary Cap24
LTIR Players2
Stars Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Alexander Radulov RW336,250,000$6,250,000$6,250,000$6,250,000$UFA
Anders NilssonG292,200,000$2,200,000$UFA
Antoine RousselLW292,800,000$2,800,000$2,800,000$UFA
Ben Bishop G324,916,667$4,916,667$4,916,667$4,916,667$4,916,667$UFA
Corey Perry RW348,625,000$8,000,000$7,000,000$UFA
Devin ShoreC252,250,000$2,250,000$ RFA
Esa Lindell D255,800,000$5,800,000$5,800,000$5,800,000$5,800,000$5,800,000$5,800,000$UFA
Jamie Benn LW309,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$UFA
Jason Dickinson C/LW241,500,000$1,500,000$1,500,000$ RFA
Jay BeagleC342,500,000$2,500,000$2,500,000$UFA
Joe Pavelski C/RW357,250,000$7,250,000$7,250,000$7,250,000$UFA
John KlingbergD274,250,000$5,000,000$5,750,000$6,000,000$UFA
Jordan Szwarz C/RW28800,000$800,000$ UFA
Julius Honka D230$RFA
Martin Hanzal C324,750,000$4,750,000$UFA
Mattias JanmarkC/LW/RW262,300,000$2,300,000$ RFA
Miro Heiskanen D20925,000$925,000$ 925,000$ RFA
Roman PolakD331,750,000$1,750,000$UFA
Roope Hintz C/LW22800,000$800,000$ RFA
Stephen Johns D272,350,000$2,350,000$2,350,000$UFA
Taylor Fedun D31737,500$737,500$ 737,500$ UFA
Tyler PitlickC271,000,000$1,000,000$UFA
Tyler Seguin C279,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$
Non-Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Andy Andreoff LW280$750,000$750,000$UFA
Anthony Bitetto D29700,000$700,000$ UFA
Brandon Davidson D28700,000$700,000$ UFA
Brett Ritchie RW260$1,000,000$ RFA
Chris Bigras D24700,000$700,000$ 700,000$ RFA
Cole Ully LW24700,000$700,000$ RFA
Colton Point G21925,000$925,000$ 925,000$ RFA
Dillon Heatherington D24700,000$700,000$ RFA
Gavin Bayreuther D25700,000$700,000$ RFA
Gemel Smith C25700,000$700,000$ RFA
Greg McKegg C/LW270$750,000$UFA
Jake Oettinger G20925,000$925,000$ 925,000$ 925,000$ RFA
John Nyberg D23750,000$750,000$ RFA
Joseph Cecconi D22925,000$925,000$ 925,000$ RFA
Justin Dowling C29750,000$750,000$ 750,000$ UFA
Kyle Criscuolo C27700,000$700,000$ UFA
Landon Bow G24700,000$700,000$ RFA
Mark Letestu C/RW34700,000$700,000$ UFA
Nick Caamano RW21750,000$750,000$ 750,000$ RFA
Niklas Hansson D240$ RFA
Ondrej Vala D21700,000$700,000$ 700,000$ RFA
Philippe Desrosiers G24700,000$700,000$ RFA
Philippe Maillet C26700,000$700,000$ RFA
Reece Scarlett D26700,000$700,000$ RFA
Remi Elie LW240$700,000$ RFA
Rhett Gardner C23925,000$925,000$ 925,000$ RFA
Tommy Cross D30725,000$725,000$ 725,000$ UFA
Tony Calderone RW25750,000$750,000$ RFA
Zach Trotman D29700,000$700,000$ UFA

Lines
Forward Lines


#0 - Jamie Benn


#0 - Tyler Seguin


#0 - Alexander Radulov


#0 - Jason Dickinson


#0 - Joe Pavelski


#0 - Corey Perry


#0 - Roope Hintz


#0 - Devin Shore


#0 - Mattias Janmark


#0 - Antoine Roussel


#0 - Jay Beagle


#0 - Tyler Pitlick

Defensive Pairings


#0 - Esa Lindell


#0 - Miro Heiskanen


#0 - John Klingberg


#0 - Taylor Fedun


#0 - Roman Polak

1st Power Play Unit


#0 - Jamie Benn


#0 - Tyler Seguin


#0 - Alexander Radulov


#0 - Esa Lindell


#0 - Miro Heiskanen

2nd Power Play Unit


#0 - Jason Dickinson


#0 - Joe Pavelski


#0 - Alexander Radulov


#0 - John Klingberg


#0 - Roman Polak

Goalies
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
1StarsBruins1000100032121.00035800011140519133248022300.00%000.00%016131451.27%16030851.95%6912654.76%292122712760.0%7.5%91.7%99.2DULL
2StarsBlues1100000041321.0004812001120331017602962315240.00%110.00%016131451.27%16030851.95%6912654.76%2215237136100.0%12.1%96.6%108.7LUCKY
3StarsCapitals2110000078-120.50071320004210822629270751310328112.50%5260.00%016131451.27%16030851.95%6912654.76%53384213241350.0%8.5%89.3%97.9Unlucky
4StarsSabres1100000021121.000235000200287101103561225000.00%60100.00%016131451.27%16030851.95%6912654.76%201427811566.7%7.1%97.1%104.3DULL
5StarsFlames1100000043121.00048120002202289504315102711100.00%5180.00%016131451.27%16030851.95%6912654.76%191328611560.0%18.2%93.0%111.2LUCKY
6StarsBlue Jackets1000100032121.000369000201361115823858153133.33%4175.00%016131451.27%16030851.95%6912654.76%241624713666.7%8.3%94.7%103.1DULL
7StarsRed Wings1100000052321.00051015003020341512702876176116.67%3166.67%016131451.27%16030851.95%6912654.76%251720713780.0%14.7%92.9%107.6LUCKY
_Vs Division1100000041321.0004812001120331017602962315240.00%110.00%016131451.27%16030851.95%6912654.76%2215237136100.0%12.1%96.6%108.7LUCKY
_Vs Conference2200000084441.00081624001340551826110722112586350.00%6266.67%016131451.27%16030851.95%6912654.76%42285114251171.4%14.5%94.4%109.0LUCKY
_Since Last GM Reset8510200028199140.875285381008108227582111775272604816926623.08%24675.00%016131451.27%16030851.95%6912654.76%195137189591015062.9%10.2%93.0%103.2LUCKY
Total8510200028199140.875285381008108227582111775272604816926623.08%24675.00%016131451.27%16030851.95%6912654.76%195137189591015062.9%10.2%93.0%103.2LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 314
Neutral Zone Start 126
Defensive Zone Start 308
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 390
Faceoffs Lost 358
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 24.120.31
3rd Period 33.830.68
Overtime 34.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.31.65
3rd Period 3.32.67
Overtime 3.52.83
Even Strenght Goal 22
PP Goal 6
PK Goal 0
Empty Net Goal 0
Home Away
Win 34
Lost 01
Overtime Lost 00
PP Attempt 26
PP Goal 6
PK Attempt 24
PK Goal Against 6
Home
Shots For 34.4
Shots Against 34.0
Goals For 3.5
Goals Against 2.4
Hits 21.1
Shots Blocked 7.5
Pim 6.0
Schedule
DateMatchup Result Detail
2019-10-03StarsBruins@StarsStarsBruins2,Stars3 (OT)RECAP
2019-10-05StarsStars@StarsBluesStars4,Blues1RECAP
2019-10-06StarsStars@StarsRed WingsStars5,Red Wings2RECAP
2019-10-08StarsStars@StarsCapitalsStars2,Capitals5RECAP
2019-10-10StarsFlames@StarsStarsFlames3,Stars4RECAP
2019-10-12StarsCapitals@StarsStarsCapitals3,Stars5RECAP
2019-10-14StarsStars@StarsSabresStars2,Sabres1RECAP
2019-10-16StarsStars@StarsBlue JacketsStars3,Blue Jackets2 (OT)RECAP
2019-10-18StarsStars@StarsPenguins
2019-10-19StarsStars@StarsFlyers
2019-10-21StarsSenators@StarsStars
2019-10-24StarsDucks@StarsStars
2019-10-26StarsPenguins@StarsStars
2019-10-29StarsWild@StarsStars
2019-11-01StarsStars@StarsAvalanche
2019-11-02StarsCanadiens@StarsStars
2019-11-05StarsAvalanche@StarsStars
2019-11-10StarsStars@StarsJets
2019-11-13StarsStars@StarsFlames
2019-11-14StarsStars@StarsCanucks
2019-11-16StarsStars@StarsOilers
2019-11-19StarsCanucks@StarsStars
2019-11-21StarsJets@StarsStars
2019-11-23StarsBlackhawks@StarsStars
2019-11-25StarsGolden Knights@StarsStars
2019-11-26StarsStars@StarsBlackhawks
2019-11-29StarsBlues@StarsStars
2019-12-01StarsStars@StarsWild
2019-12-03StarsStars@StarsJets
2019-12-05StarsJets@StarsStars
2019-12-07StarsIslanders@StarsStars
2019-12-10StarsDevils@StarsStars
2019-12-13StarsGolden Knights@StarsStars
2019-12-14StarsStars@StarsPredators
2019-12-16StarsOilers@StarsStars
2019-12-19StarsStars@StarsLightning
2019-12-20StarsStars@StarsPanthers
2019-12-22StarsFlames@StarsStars
2019-12-28StarsAvalanche@StarsStars
2019-12-29StarsStars@StarsCoyotes
2020-01-01StarsPredators@StarsStars
2020-01-03StarsRed Wings@StarsStars
2020-01-08StarsStars@StarsKings
2020-01-09StarsStars@StarsDucks
2020-01-11StarsStars@StarsSharks
2020-01-14StarsStars@StarsAvalanche
2020-01-16StarsSabres@StarsStars
2020-01-18StarsStars@StarsWild
2020-01-27StarsLightning@StarsStars
2020-01-29StarsMaple Leafs@StarsStars
2020-02-01StarsStars@StarsDevils
2020-02-03StarsStars@StarsRangers
2020-02-04StarsStars@StarsIslanders
2020-02-07StarsWild@StarsStars
2020-02-08StarsStars@StarsBlues
2020-02-11StarsHurricanes@StarsStars
2020-02-13StarsStars@StarsMaple Leafs
2020-02-15StarsStars@StarsCanadiens
2020-02-16StarsStars@StarsSenators
2020-02-19StarsCoyotes@StarsStars
2020-02-21StarsBlues@StarsStars
2020-02-23StarsBlackhawks@StarsStars
Trade Deadline --- Trades cant be done after this day is simulated!
2020-02-25StarsStars@StarsHurricanes
2020-02-27StarsStars@StarsBruins
2020-02-29StarsStars@StarsBlues
2020-03-03StarsOilers@StarsStars
2020-03-05StarsStars@StarsPredators
2020-03-07StarsPredators@StarsStars
2020-03-10StarsRangers@StarsStars
2020-03-12StarsPanthers@StarsStars
2020-03-14StarsSharks@StarsStars
2020-03-16StarsStars@StarsCoyotes
2020-03-17StarsStars@StarsGolden Knights
2020-03-20StarsFlyers@StarsStars
2020-03-22StarsJets@StarsStars
2020-03-24StarsKings@StarsStars
2020-03-27StarsStars@StarsBlackhawks
2020-03-28StarsBlue Jackets@StarsStars
2020-03-30StarsCanucks@StarsStars
2020-04-01StarsStars@StarsDucks
2020-04-02StarsStars@StarsSharks
2020-04-04StarsStars@StarsKings

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
79,329,167$ 0$ 76,041,074$ 5,458,926$

ArenaGoal HornAbout us
NameAmerican Airlines Center
CityDallas
Capacity18532
Season Ticket Holders50%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000253240001000
Ticket Price125$100$75$50$200$
Attendance1267811839525377732785
Attendance PCT70.43%78.93%69.15%64.78%92.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 13443 - 72.54% 1,933,499$5,800,497$1853280

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
79,329,167$ 79,204,167$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
6,892,832$ 408,625$ 6,574,824$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
73,472,962$ 170 430,802$ 73,236,340$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
75,532,281$ 76,041,074$ 79,423,172$ 83,287,095$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Jamie BennAGE:30StarsCAN
Antoine RousselAGE:29StarsFRA
Mattias JanmarkAGE:26StarsSWE
Jason DickinsonAGE:24StarsCAN
Roope HintzAGE:22StarsFIN
Greg McKeggAGE:27StarsCAN
Andy AndreoffAGE:28StarsCAN
Remi ElieAGE:24StarsCAN
Cole UllyAGE:24StarsCAN
Tyler SeguinAGE:27StarsCAN
Joe PavelskiAGE:35StarsUSA
Martin HanzalAGE:32StarsCZE
Jay BeagleAGE:34StarsCAN
Mattias JanmarkAGE:26StarsSWE
Devin ShoreAGE:25StarsCAN
Jason DickinsonAGE:24StarsCAN
Tyler PitlickAGE:27StarsUSA
Rhett GardnerAGE:23StarsCAN
Roope HintzAGE:22StarsFIN
Jordan SzwarzAGE:28StarsCAN
Greg McKeggAGE:27StarsCAN
Justin DowlingAGE:29StarsCAN
Kyle CriscuoloAGE:27StarsUSA
Mark LetestuAGE:34StarsCAN
Philippe MailletAGE:26StarsCAN
Gemel SmithAGE:25StarsCAN
Corey PerryAGE:34StarsCAN
Joe PavelskiAGE:35StarsUSA
Alexander RadulovAGE:33StarsRUS
Mattias JanmarkAGE:26StarsSWE
Brett RitchieAGE:26StarsCAN
Jordan SzwarzAGE:28StarsCAN
Tony CalderoneAGE:25StarsUSA
Nick CaamanoAGE:21StarsCAN
Mark LetestuAGE:34StarsCAN

Defense #1Defense #2Goalie
Esa LindellAGE:25StarsFIN
John KlingbergAGE:27StarsSWE
Stephen JohnsAGE:27StarsUSA
Roman PolakAGE:33StarsCZE
Miro HeiskanenAGE:20StarsFIN
Joseph CecconiAGE:22StarsUSA
John NybergAGE:23StarsSWE
Taylor FedunAGE:31StarsCAN
Tommy CrossAGE:30StarsUSA
Dillon HeatheringtonAGE:24StarsCAN
Zach TrotmanAGE:29StarsUSA
Brandon DavidsonAGE:28StarsCAN
Anthony BitettoAGE:29StarsUSA
Chris BigrasAGE:24StarsCAN
Gavin BayreutherAGE:25StarsUSA
Ondrej ValaAGE:21StarsCZE
Reece ScarlettAGE:26StarsCAN
Julius HonkaAGE:23StarsFIN
Niklas HanssonAGE:24StarsSWE
Ben BishopAGE:32StarsUSA
Anders NilssonAGE:29StarsSWE
Colton PointAGE:21StarsCAN
Jake OettingerAGE:20StarsUSA
Landon BowAGE:24StarsCAN
Philippe DesrosiersAGE:24StarsCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded
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
Angus CrookshankStarsStars2018137
Brett StapleyStarsStars2018199
Danil SavunovStarsStars2019193
Dmitri VoronkovStarsStars2019131
Eric HjorthStarsStars2019118
Fredrik KarlstromStarsStars201690
Gianni FairbrotherStarsStars2019100
Jacob PetersonStarsStars2017132
Jakob StenqvistStarsStars2016176
Jesper EliassonStarsStars2018100
Johan SodergranStarsStars2018168
John BeecherStarsStars201937
Karl HenrikssonStarsStars201971
Matej StranskyStarsStars2011165
Nico GrossStarsStars2018106
Riley TufteStarsStars201625
Ryan JohnsonStarsStars201938
Tyler MaddenStarsStars201875
News








































































































































































Injuries
Martin Hanzal is out for the rest of the season because of a LTIR.
Stephen Johns is out for the rest of the season because of a LTIR.

Game Center

Stars7-1-0, 14pts21Final
Sabres3-3-2, 8pts

Stars7-1-0, 14pts32Final
Blue Jackets4-1-1, 9pts

Stars7-1-0, 14ptsFri, Oct 18PPG Paints Arena
Penguins1-4-2, 4pts

Stars7-1-0, 14ptsSat, Oct 19Wells Fargo Center
Flyers4-1-0, 8pts

Senators2-4-0, 4ptsMon, Oct 21American Airlines Center
Stars7-1-0, 14pts

Team Leaders

GOALS
Alexander Radulov
4
ASSISTS
Miro Heiskanen
10
POINTS
Miro Heiskanen
12
PLUS/MINUS
Miro Heiskanen
9
WINS
Ben Bishop
6
SV%
Anders Nilsson
0.971

Team Stats


Goals For
28
3.50 GFG
Shots For
275
34.38 Avg
Power Play Percentage
23.1%
6 GF
Offensive Zone Start
50.5%
Goals Against
19
2.38 GAA
Shots Against
272
34.00 Avg
Penalty Kill Percentage
75.0%
6 GA
Defensive Zone Start
49.5%
 

Team Info

Stars
General ManagerMaxime Proulx
Head CoachJim Montgomery
ConferenceWestern Conference
DivisionCentral

Stars Affiliation

Stars
Team NameStars
CityTexas
Head CoachDerek Laxdal
DivisionCentrale

Arena Info

StadiumAmerican Airlines Center
Capacity18,532
Attendance13,443
Season Tickets9,266

Salary Cap

Total Cap Hit76,041,074$
Cap Hit Percentage93.3%
Projected Cap Space5,458,926$
Retains & Buyout0$

Finance

Team Revenue5,800,497$
Estimated Revenue85,196,701$
Estimated Expenses80,129,172$
Operating Income5,067,529$
Bank Account79,423,172$

Tickets

Section 100125$ | 70.43%
Section 200100$ | 78.93%
Section 30075$ | 69.15%
Section 40050$ | 64.78%
Suites200$ | 92.83%

Team History

20197-1-0 (14PTS)
Record (W-L-OTL)45-37-8 (78PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft