Stars
GP: 75 | W: 13 | L: 60 | OTL: 2 | P: 28
GF: 329 | GA: 564 | PP%: 34.29% | PK%: 69.49%
Mike Edwards | 50 | 71
#1211 vs Penguins


Stars
13-60-2, 28pts
4
FINAL
9 Firebirds
46-27-3, 95pts
Team Stats
SOL1L1
8-27-228-9-2
5-33-018-18-1
2-7-15-5-0
4.394.92
7.524.26
34.29%13.85%
69.49%69.23%
Admirals
32-43-1, 65pts
7
FINAL
6 Stars
13-60-2, 28pts
Team Stats
W4SOL1
18-18-18-27-2
14-25-05-33-0
8-1-12-7-1
4.454.39
5.437.52
29.87%34.29%
55.74%69.49%
Penguins
55-17-4, 114pts
2025-04-05
Stars
13-60-2, 28pts
W6SOL1
28-8-28-27-2
27-9-25-33-0
8-2-02-7-1
4.514.39
2.704.39
25.45%34.29%
83.61%69.49%
Stars
13-60-2, 28pts
2025-04-06
Wild
59-14-3, 121pts
SOL1L3
8-27-231-6-1
5-33-028-8-2
2-7-16-3-1
4.395.37
7.525.37
34.29%45.16%
69.49%79.17%
Canucks
62-9-4, 128pts
2025-04-08
Stars
13-60-2, 28pts
W7SOL1
34-2-08-27-2
28-7-45-33-0
9-1-02-7-1
5.684.39
3.314.39
27.87%34.29%
77.78%69.49%
Christian Fischer
Christian Fischer
60
Vasily Podkolzin
Vasily Podkolzin
77
Vasily Podkolzin
Vasily Podkolzin
115
Viktor Neuchev
Viktor Neuchev
2
Jared Moe
Jared Moe
8
Jared Moe
Jared Moe
0.773


329
4.39 GFG

2325
31.00 Avg

34.3%
24 GF

31.1%

564
7.52 GAA

2507
33.43 Avg

69.5%%
18 GA

29.0%


Mike Edwards
Central Division
Western Conference




5,000
5,000
5,000




23
20
43 / 55
41


PriorityDescription
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
# #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Christian Fischer0X100.006652958081559584447472527884780507902711,181,250$
2Vasily Podkolzin0X100.00775295778249558341727044778377050770231925,000$
3Samu Tuomaala (R)0XXX100.00456584727681947865606740722540050720213830,834$
4Callahan Burke0XXX100.00456584727682957765596740722540050720271813,750$
5Antonio Stranges (R)0XXX100.00454083747758457965626840742540050710221846,667$
6Patrick Khodorenko (R)0XXX100.00466382727576887665596740722540050710253925,000$
7Matej Blumel (R)0XXX100.00455983747668797936616840742540050710243806,000$
8Jacob Melanson (R)0XXX100.00486179717573847665576640712540050700213826,111$
9Kyle McDonald (R)0XXX100.00455983727668797765576740722540050700223925,000$
10Viktor Neuchev (R)0X100.00445984727667777736596740722540050700203870,000$
11Xavier Bourgault (R)0X100.00456183727573847736586740722540050700211925,000$
12Gustav Lindstrom0X100.006253937881555585407470567885780508102531,439,820$
13Cam Dineen0X100.00456584727681947736606646722540050740261750,000$
14Logan Day0X100.00464882727658497736616754722540050740292847,500$
15Alec Regula0X100.00475681727660697736606659722540050740233798,250$
16Vladislav Kolyachonok (R)0X100.00456683717583977636566644712540050730231925,000$
17Colton White0X100.00465783717562727636576640712540050700271765,500$
18Jakub Zboril0X100.004653827175586276365866407125400507002711,156,250$
1Chase Wheatcroft (R)0XXX100.00465382717658627665586640712540050690223862,500$
2Brandon Coe (R)0XXX100.00465882717566767665576740722540050690223838,137$
3Raivis Ansons (R)0X100.00465282717558607636566640712540050680221844,167$
100.0049578473766675784861674473334505072
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Anson Thornton0100.0058555355585357505570552555050630211750,000$
2Jared Moe0100.0062555355565350505755532555050630241750,000$
100.006055535557535450566354255505063
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Vasily PodkolzinStars (DAL)RW753877115-7400193782349716416.24%33162521.680999502023430046.83%88416626011.4101000513
2Gustav LindstromStars (DAL)D755657113-844014620827810212620.14%197184424.59114152052011043310%0122143021.2300000637
3Christian FischerStars (DAL)RW756047107-40001171362216315027.15%37128117.09651112550221431147.62%10514441031.6700000322
4Antonio StrangesStars (DAL)C/LW/RW75284573-834073732066816213.59%22136518.202357552028462050.47%74910820011.0701000021
5Matej BlumelStars (DAL)C/LW/RW75323264-95100125742067916215.53%34148119.7500000000002227.08%4815116010.8601000131
6Xavier BourgaultStars (DAL)RW75194463-10129158180199541329.55%26159821.321451152000000336.16%6149126000.7900003000
7Samu TuomaalaStars (DAL)C/LW/RW75124658-88110908673170641057.06%27149219.900551353000000049.47%9449023000.7800486010
8Patrick KhodorenkoStars (DAL)C/LW/RW75182543-9480105791764810110.23%32148919.8500000000001061.90%636132010.5801000110
9Cam DineenStars (DAL)D7563440-86202140591109129446.59%126173823.18044449000138000%01577000.46007912000
10Alec RegulaStars (DAL)D75132538-57604616296484013.54%87123316.45000550000037100%02066000.6201000000
11Callahan BurkeStars (DAL)C/LW/RW75122537-7711375625882265314.63%30163521.812358500111361051.16%863024000.4511366010
12Logan DayStars (DAL)D75122133-61404410987335413.79%71131817.58224755000045100%12975000.5000000000
13Vladislav KolyachonokStars (DAL)D7352732-97224180341038031286.25%87118716.260000000002000%02375000.5400111015000
14Jacob MelansonStars (DAL)C/LW/RW7561824-7618101226810645675.66%18125516.74000130000140048.39%624715000.3800020000
15Jakub ZborilStars (DAL)D7541620-919556744727268.51%66141518.870000000000000%01773000.2800001010
16Jamie DrysdaleStarsD126814-60011213171619.35%1624320.300003500006000%02217011.1500000100
17Kyle McDonaldStars (DAL)C/LW/RW7513400010712848.33%11622.1700001000000062.50%2453000.4900000000
18Viktor NeuchevStars (DAL)LW751122000121050.00%0110.160000000000100%010003.4100000000
19Colton WhiteStars (DAL)D63011000120110%0570.9200001011011000%021000.3500000000
20Brandon CoeStars (DAL)C/LW/RW2000000111000%063.02000000000000100.00%10000000000000
1350329552881-1208741515137215172325831143514.15%9102244416.632439631005394591437113746.72%358111447530100.7916253543171514
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jared MoeStars (DAL)6685620.7737.5438050047821051213200.6005669000
2Hugo AlnefeltStars95400.8634.755430043315178100090001
3Anson ThorntonStars (DAL)50000.51715.65161004287350000066000
80136020.7757.49450900563250714263057575001


PriorityDescription
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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alec Regula Stars (DAL)D232000-08-06USANo208 Lbs6 ft4NoNoFree AgentNoNo32024-08-05FalseFalsePro & Farm798,250$57,018$0$0$No798,250$798,250$ Restricted----798,250$798,250$-------NoNo-------Link / NHL Link
Anson Thornton Stars (DAL)G212003-06-28CANNo185 Lbs6 ft3NoNoFree AgentNoNo12024-10-27FalseFalsePro & Farm750,000$53,571$0$0$NoRestricted----795,556$795,556$----------------Link / NHL Link
Antonio Stranges Stars (DAL)C/LW/RW222002-02-05USAYes168 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm846,667$60,476$0$0$NoRestricted----------------------Link / NHL Link
Brandon Coe Stars (DAL)C/LW/RW222001-12-01CANYes190 Lbs6 ft4NoNoFree AgentNoNo32024-08-05FalseFalsePro & Farm838,137$59,867$0$0$No838,137$838,137$ Restricted----838,137$838,137$-------NoNo-------Link / NHL Link
Callahan Burke Stars (DAL)C/LW/RW271997-03-19USANo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm813,750$58,125$0$0$NoUnrestricted----------------------Link / NHL Link
Cam Dineen Stars (DAL)D261998-06-19USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$53,571$0$0$No Restricted----------------------Link / NHL Link
Chase Wheatcroft Stars (DAL)C/LW/RW222002-05-28CANYes176 Lbs6 ft2NoNoProspectNoNo32024-07-02FalseFalsePro & Farm862,500$61,607$0$0$No862,500$862,500$ Restricted----862,500$862,500$-------NoNo-------Link / NHL Link
Christian Fischer Stars (DAL)RW271997-04-15USANo212 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm1,181,250$84,375$0$0$NoUnrestricted----------------------Link / NHL Link
Colton White Stars (DAL)D271997-05-03CANNo187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm765,500$54,679$0$0$NoUnrestricted----------------------Link / NHL Link
Gustav Lindstrom Stars (DAL)D251998-10-20SWENo186 Lbs6 ft2NoNoN/ANoYes3FalseFalsePro & Farm1,439,820$102,844$0$0$No1,439,820$1,439,820$ Restricted----1,439,820$1,439,820$-------NoNo-------Link / NHL Link
Jacob Melanson Stars (DAL)C/LW/RW212003-04-22CANYes205 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm826,111$59,008$0$0$No826,111$826,111$Restricted----826,111$826,111$-------NoNo-------Link / NHL Link
Jakub Zboril Stars (DAL)D271997-02-21CZENo201 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm1,156,250$82,589$0$0$NoUnrestricted----------------------Link / NHL Link
Jared Moe Stars (DAL)G241999-07-22USANo205 Lbs6 ft3NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$53,571$0$0$No Restricted----------------------Link / NHL Link
Kyle McDonald Stars (DAL)C/LW/RW222002-02-05CANYes207 Lbs6 ft4NoNoDraftNoNo32024-09-10FalseFalsePro & Farm925,000$66,071$0$0$No925,000$925,000$ Restricted----925,000$925,000$-------NoNo-------Link / NHL Link
Logan Day Stars (DAL)D291994-09-19USANo210 Lbs6 ft1NoNoFree AgentNoNo22024-08-05FalseFalsePro & Farm847,500$60,536$0$0$No847,500$Unrestricted----847,500$--------No--------Link / NHL Link
Matej Blumel Stars (DAL)C/LW/RW242000-05-31CZEYes200 Lbs6 ft0NoNoFree AgentNoNo32024-08-05FalseFalsePro & Farm806,000$57,571$0$0$No806,000$806,000$ Restricted----806,000$806,000$-------NoNo-------Link / NHL Link
Patrick Khodorenko Stars (DAL)C/LW/RW251998-10-13USAYes198 Lbs6 ft0NoNoProspectNoNo32024-07-02FalseFalsePro & Farm925,000$66,071$0$0$No925,000$925,000$ Restricted----925,000$925,000$-------NoNo-------Link / NHL Link
Raivis Ansons Stars (DAL)LW222002-01-29LATYes186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm844,167$60,298$0$0$NoRestricted----------------------Link / NHL Link
Samu Tuomaala Stars (DAL)C/LW/RW212003-01-08FINYes180 Lbs5 ft10NoNoProspectNoNo32024-07-02FalseFalsePro & Farm830,834$59,345$0$0$No830,834$830,834$ Restricted----830,834$830,834$-------NoNo-------Link / NHL Link
Vasily Podkolzin Stars (DAL)RW232001-06-24RUSNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$66,071$0$0$NoRestricted----------------------Link / NHL Link
Viktor Neuchev Stars (DAL)LW202003-10-25RUSYes171 Lbs5 ft11NoNoProspectNoNo32024-07-02FalseFalsePro & Farm870,000$62,143$0$0$No870,000$870,000$Restricted----870,000$870,000$-------NoNo-------Link / NHL Link
Vladislav Kolyachonok Stars (DAL)D232001-05-26BLRYes193 Lbs6 ft1NoNoN/ANoNo1FalseFalseFarm Only925,000$66,071$0$0$NoRestricted----------------------Link / NHL Link
Xavier Bourgault Stars (DAL)RW212002-10-22CANYes172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$66,071$0$0$NoRestricted----------------------Link / NHL Link
2323.65191 Lbs6 ft11.91895,728$



1Christian FischerVasily PodkolzinCallahan Burke30122
2Matej BlumelSamu TuomaalaPatrick Khodorenko30122
3Xavier BourgaultAntonio StrangesJacob Melanson20122
4Vasily PodkolzinXavier BourgaultCallahan Burke20122
1Gustav LindstromCam Dineen30122
2Vladislav KolyachonokJakub Zboril30122
3Logan DayAlec Regula20122
4Gustav LindstromCam Dineen20122
1Antonio StrangesVasily PodkolzinCallahan Burke50122
2Xavier BourgaultChristian FischerSamu Tuomaala50122
1Gustav LindstromCam Dineen50122
2Alec RegulaLogan Day50122
1Antonio StrangesCallahan Burke50122
2Vasily PodkolzinChristian Fischer50122
1Gustav LindstromCam Dineen50122
2Logan DayAlec Regula50122
1Callahan Burke50122Gustav LindstromCam Dineen50122
2Antonio Stranges50122Logan DayAlec Regula50122
1Callahan BurkeAntonio Stranges50122
2Vasily PodkolzinChristian Fischer50122
1Gustav LindstromCam Dineen50122
2Alec RegulaLogan Day50122
Christian FischerVasily PodkolzinCallahan BurkeGustav LindstromCam Dineen
Christian FischerVasily PodkolzinCallahan BurkeGustav LindstromCam Dineen
Callahan Burke, Vasily Podkolzin, Antonio StrangesAntonio Stranges, Callahan BurkeAntonio Stranges
Gustav Lindstrom, Logan Day, Cam DineenCam DineenCam Dineen, Gustav Lindstrom
Vasily Podkolzin, Callahan Burke, Matej Blumel, Patrick Khodorenko, Antonio Stranges
#1 : Jared Moe, #2 : Anson Thornton
Vasily Podkolzin, Matej Blumel, Patrick Khodorenko, Jacob Melanson, Antonio Stranges, Callahan Burke, Callahan Burke, Xavier Bourgault, Christian Fischer, Samu Tuomaala, Viktor Neuchev
Gustav Lindstrom, Cam Dineen, Alec Regula, Jakub Zboril, Logan Day


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
1Admirals311000011819-1201000011115-41100000074330.5001833510013880107589818720773199229655311100.00%5260.00%1557111150.14%482103546.57%634142344.55%1588100516675861257619
2Americans20200000816-81010000049-51010000047-300.00081523001388010755881872077319863114384250.00%20100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
3Barracuda311010001918120101000121201100000076140.6671935540013880107599818720773199735275411100.00%10100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
4Bears20200000914-51010000057-21010000047-300.00091423001388010755781872077319662817332150.00%10100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
5Bruins210010001587100010008711100000071641.00015274200138801075688187207731974234931100.00%2150.00%1557111150.14%482103546.57%634142344.55%1588100516675861257619
6Canucks20200000325-221010000018-710100000217-1500.00035800138801075518187207731964241126100.00%4175.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
7Checkers21100000770110000002111010000056-120.500713200013880107572818720773195117037000%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
8Comets20200000511-61010000048-41010000013-200.00059140013880107545818720773197126038100.00%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
9Condors312000001619-31100000074320200000915-620.33316264200138801075938187207731910439445322100.00%20100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
10Crunch20200000918-91010000089-11010000019-800.000917260013880107571818720773198223322811100.00%6350.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
11Eagles30300000922-131010000026-420200000716-900.0009162500138801075868187207731994271655600.00%3166.67%1557111150.14%482103546.57%634142344.55%1588100516675861257619
12Firebirds303000001031-211010000035-220200000726-1900.000101222001388010757581872077319100411861200.00%4250.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
13Griffins1010000057-21010000057-20000000000000.0005712001388010752681872077319222510200.00%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
14Gulls312000001619-3211000001113-21010000056-120.333162844001388010751068187207731992421859300.00%4175.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
15IceHogs412010001723-621001000118320200000615-940.50017284500138801075120818720773191456149816466.67%2150.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
16Islanders20200000814-61010000045-11010000049-500.000813210013880107567818720773197917642000%30100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
17Marlies20200000314-111010000016-51010000028-600.00033600138801075568187207731954193740000%10100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
18Monsters202000001014-41010000057-21010000057-200.00010152500138801075658187207731963231932300.00%220.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
19Moose303000001246-3410100000717-1020200000529-2400.00012203200138801075106818720773191023444595120.00%2150.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
20Penguins1010000018-7000000000001010000018-700.000123001388010753381872077319368720000%110.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
21Phantoms211000001024-141100000076110100000318-1520.500101828001388010756681872077319651835376350.00%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
22Reign302001001221-91000010067-120200000614-810.167122032001388010758781872077319974269648337.50%20100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
23Roadrunners303000001924-51010000078-1202000001216-400.000193049001388010759081872077319117372651200.00%3166.67%0557111150.14%482103546.57%634142344.55%1588100516675861257619
24Rocket20200000614-81010000057-21010000017-600.0006101600138801075648187207731967231529100.00%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
25Senators20200000914-51010000057-21010000047-300.000914230013880107567818720773196330241200.00%10100.00%1557111150.14%482103546.57%634142344.55%1588100516675861257619
26Silver Knights303000001121-101010000057-220200000614-800.000111829001388010759281872077319103463955000%20100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
27Thunderbirds302010001420-620200000512-71000100098120.3331426400013880107510181872077319945028532150.00%40100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
28Wild303000001223-1120200000914-51010000039-600.0001220320013880107510081872077319102351265100.00%10100.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
29Wolf Pack20200000614-81010000037-41010000037-400.0006814001388010754981872077319552422342150.00%110.00%0557111150.14%482103546.57%634142344.55%1588100516675861257619
30Wolves202000001216-41010000067-11010000069-300.000122133001388010757181872077319742610373266.67%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
31Wranglers312000001820-2202000001114-31100000076120.33318294700138801075958187207731996305562150.00%000%0557111150.14%482103546.57%634142344.55%1588100516675861257619
Total7596004101329564-2353752703101180250-703843301000149314-165280.1873295528810013880107523258187207731925079107411372702434.29%591869.49%4557111150.14%482103546.57%634142344.55%1588100516675861257619
_Since Last GM Reset7596004101329564-2353752703101180250-703843301000149314-165280.1873295528810013880107523258187207731925079107411372702434.29%591869.49%4557111150.14%482103546.57%634142344.55%1588100516675861257619
_Vs Conference4563403101206351-1452231502101108150-42233190100098201-103200.222206346552001388010751390818720773191499572471845421433.33%391074.36%2557111150.14%482103546.57%634142344.55%1588100516675861257619
_Vs Division2221702001101177-761118010015280-281119010004997-4890.205101173274001388010756928187207731974627324041723730.43%20670.00%2557111150.14%482103546.57%634142344.55%1588100516675861257619

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7528SOL132955288123252507910741137200
All Games
GPWLOTWOTL SOWSOLGFGA
759604101329564
Home Games
GPWLOTWOTL SOWSOLGFGA
375273101180250
Visitor Games
GPWLOTWOTL SOWSOLGFGA
384331000149314
Last 10 Games
WLOTWOTL SOWSOL
270001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
702434.29%591869.49%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
81872077319138801075
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
557111150.14%482103546.57%634142344.55%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1588100516675861257619


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DayGame Visitor Score Home Score ST OT SO RI Link
7 - 2024-10-1017Stars7Admirals4WBoxScore
9 - 2024-10-1232Islanders5Stars4LBoxScore
10 - 2024-10-1339Firebirds5Stars3LBoxScore
12 - 2024-10-1554Barracuda5Stars6WXBoxScore
14 - 2024-10-1766Stars4Bears7LBoxScore
16 - 2024-10-1977Condors4Stars7WBoxScore
19 - 2024-10-2295Stars4Americans7LBoxScore
21 - 2024-10-24109Stars7Bruins1WBoxScore
23 - 2024-10-26132IceHogs5Stars6WXBoxScore
29 - 2024-11-01168Checkers1Stars2WBoxScore
30 - 2024-11-02174Stars5Checkers6LBoxScore
35 - 2024-11-07216IceHogs3Stars5WBoxScore
37 - 2024-11-09230Stars4Moose19LBoxScore
39 - 2024-11-11241Stars1Penguins8LBoxScore
42 - 2024-11-14262Bruins7Stars8WXBoxScore
44 - 2024-11-16281Stars3Wild9LBoxScore
46 - 2024-11-18291Gulls7Stars8WBoxScore
48 - 2024-11-20303Barracuda7Stars6LBoxScore
51 - 2024-11-23325Stars1Crunch9LBoxScore
53 - 2024-11-25339Stars6Wolves9LBoxScore
55 - 2024-11-27357Stars2IceHogs7LBoxScore
57 - 2024-11-29373Eagles6Stars2LBoxScore
59 - 2024-12-01391Moose17Stars7LBoxScore
60 - 2024-12-02395Stars6Roadrunners9LBoxScore
62 - 2024-12-04409Stars4Reign8LBoxScore
64 - 2024-12-06423Stars4Silver Knights7LBoxScore
66 - 2024-12-08442Wranglers6Stars5LBoxScore
70 - 2024-12-12466Admirals8Stars5LBoxScore
72 - 2024-12-14483Thunderbirds6Stars3LBoxScore
74 - 2024-12-16494Bears7Stars5LBoxScore
76 - 2024-12-18508Marlies6Stars1LBoxScore
78 - 2024-12-20525Wolf Pack7Stars3LBoxScore
81 - 2024-12-23556Stars6Roadrunners7LBoxScore
85 - 2024-12-27563Wild8Stars6LBoxScore
87 - 2024-12-29577Stars4IceHogs8LBoxScore
89 - 2024-12-31595Americans9Stars4LBoxScore
91 - 2025-01-02608Senators7Stars5LBoxScore
93 - 2025-01-04628Roadrunners8Stars7LBoxScore
96 - 2025-01-07643Stars3Wolf Pack7LBoxScore
98 - 2025-01-09657Stars3Phantoms18LBoxScore
100 - 2025-01-11673Stars1Rocket7LBoxScore
101 - 2025-01-12685Stars4Senators7LBoxScore
103 - 2025-01-14693Stars2Marlies8LBoxScore
105 - 2025-01-16715Rocket7Stars5LBoxScore
107 - 2025-01-18724Stars2Eagles8LBoxScore
108 - 2025-01-19739Griffins7Stars5LBoxScore
110 - 2025-01-21753Wolves7Stars6LBoxScore
113 - 2025-01-24774Silver Knights7Stars5LBoxScore
114 - 2025-01-25783Stars9Thunderbirds8WXBoxScore
117 - 2025-01-28805Stars2Silver Knights7LBoxScore
120 - 2025-01-31823Canucks8Stars1LBoxScore
122 - 2025-02-02840Monsters7Stars5LBoxScore
124 - 2025-02-04856Stars5Gulls6LBoxScore
127 - 2025-02-07875Stars2Reign6LBoxScore
128 - 2025-02-08889Stars7Barracuda6WBoxScore
142 - 2025-02-22897Stars1Comets3LBoxScore
143 - 2025-02-23913Stars4Islanders9LBoxScore
145 - 2025-02-25924Stars5Monsters7LBoxScore
148 - 2025-02-28946Reign7Stars6LXBoxScore
150 - 2025-03-02964Thunderbirds6Stars2LBoxScore
152 - 2025-03-04979Comets8Stars4LBoxScore
154 - 2025-03-06994Wranglers8Stars6LBoxScore
156 - 2025-03-081011Stars4Condors7LBoxScore
Trade Deadline
157 - 2025-03-091019Stars2Canucks17LBoxScore
162 - 2025-03-141051Stars1Moose10LBoxScore
164 - 2025-03-161067Stars5Eagles8LBoxScore
166 - 2025-03-181083Gulls6Stars3LBoxScore
168 - 2025-03-201097Crunch9Stars8LBoxScore
170 - 2025-03-221105Phantoms6Stars7WBoxScore
172 - 2025-03-241127Wild6Stars3LBoxScore
174 - 2025-03-261141Stars5Condors8LBoxScore
175 - 2025-03-271150Stars7Wranglers6WBoxScore
177 - 2025-03-291169Stars3Firebirds17LBoxScore
179 - 2025-03-311181Stars4Firebirds9LBoxScore
182 - 2025-04-031201Admirals7Stars6LXXBoxScore
184 - 2025-04-051211Penguins-Stars-
185 - 2025-04-061223Stars-Wild-
187 - 2025-04-081242Canucks-Stars-
189 - 2025-04-101255Moose-Stars-
191 - 2025-04-121272Roadrunners-Stars-
193 - 2025-04-141286Stars-Griffins-
195 - 2025-04-161304Stars-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance129,50055,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
4 5000 - 100.00% 108,375$4,009,875$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
19,584,594$ 20,601,736$ 20,601,736$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
105,111$ 19,584,594$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
433,500$ 14 105,111$ 1,471,554$




Stars Players 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

Stars Goalies Stat Leaders (Regular Season)

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

Stars 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

Stars Players 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

Stars Goalies Stat Leaders (Play-Off)

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