Please rotate your device to landscape mode for a better experience.
Login

Stars
GP: 45 | W: 22 | L: 21 | OTL: 2 | P: 46
GF: 143 | GA: 140 | PP%: 21.79% | PK%: 72.56%
GM : Jonathan Brock | Morale : 40 | Team Overall : 62
Next Games #724 vs Reign

Game Center
Stars
22-21-2, 46pts
4
5 Bears
24-17-5, 53pts
Team Stats
W1StreakW3
13-8-0Home Record11-11-2
9-13-2Home Record13-6-3
4-5-1Last 10 Games8-1-1
3.18Goals Per Game3.59
3.11Goals Against Per Game3.28
21.79%Power Play Percentage22.78%
72.56%Penalty Kill Percentage78.65%
Stars
22-21-2, 46pts
3
2 Barracuda
28-15-2, 58pts
Team Stats
W1StreakW1
13-8-0Home Record16-8-1
9-13-2Home Record12-7-1
4-5-1Last 10 Games5-4-1
3.18Goals Per Game3.56
3.11Goals Against Per Game2.89
21.79%Power Play Percentage26.45%
72.56%Penalty Kill Percentage81.33%
Stars
22-21-2, 46pts
2026-01-12
Reign
20-19-5, 45pts
Team Stats
W1StreakW1
13-8-0Home Record8-10-3
9-13-2Away Record12-9-2
4-5-1Last 10 Games4-5-1
3.18Goals Per Game2.95
3.11Goals Against Per Game2.95
21.79%Power Play Percentage21.66%
72.56%Penalty Kill Percentage78.49%
Stars
22-21-2, 46pts
2026-01-13
Gulls
29-14-2, 60pts
Team Stats
W1StreakW1
13-8-0Home Record10-10-1
9-13-2Away Record19-4-1
4-5-1Last 10 Games5-5-0
3.18Goals Per Game3.36
3.11Goals Against Per Game3.36
21.79%Power Play Percentage19.76%
72.56%Penalty Kill Percentage76.35%
Stars
22-21-2, 46pts
2026-01-15
Roadrunners
24-19-3, 51pts
Team Stats
W1StreakOTL1
13-8-0Home Record11-7-2
9-13-2Away Record13-12-1
4-5-1Last 10 Games5-4-1
3.18Goals Per Game3.30
3.11Goals Against Per Game3.30
21.79%Power Play Percentage25.42%
72.56%Penalty Kill Percentage77.44%
Team Leaders
Fedor SvechkovGoals
Fedor Svechkov
23
Alex TurcotteAssists
Alex Turcotte
28
Fedor SvechkovPoints
Fedor Svechkov
49
Fedor SvechkovPlus/Minus
Fedor Svechkov
11
Garin BjorklundWins
Garin Bjorklund
17
Jesper WallstedtSave Percentage
Jesper Wallstedt
0.909

Team Stats
Goals For
143
3.18 GFG
Shots For
1547
34.38 Avg
Power Play Percentage
21.8%
39 GF
Offensive Zone Start
42.0%
Goals Against
140
3.11 GAA
Shots Against
1345
29.89 Avg
Penalty Kill Percentage
72.6%%
45 GA
Defensive Zone Start
39.3%
Team Info

General ManagerJonathan Brock
CoachTodd Nelson
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity5,000
Attendance4,623
Season Tickets3,750


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 70
Prospects51


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Alex TurcotteX100.00643690717079836772686263696466040650252925,000$
2Fedor SvechkovXX100.00633889687281836972656467666364040650232925,000$
3Alex SteevesXXX100.00743882677589856569636661646768040650262925,000$
4Jakob PelletierXX100.006935926763817866716863626764650406502542,000,000$
5Isak RosenXXX100.00603695667086876556626361666264040640231925,000$
6Jaret Anderson-DolanXXX100.00753786647278776365616266636568040640261925,000$
7Dalibor Dvorsky (R)X100.00643889667885716372605964626165040630213925,000$
8Nate Danielson (R)X100.00683985667781736469625761596264040630213925,000$
9Marc McLaughlinXX100.00703888627574855865596357626668040630272925,000$
10Oskar OlaussonXXX100.00653785597380795755585655596365040600231925,000$
11Simon Robertsson (R)X100.00633885607277645862596056586264040600233925,000$
12Riley KidneyXXX100.00613880586971835763565453556264040590232925,000$
13Justin BarronX100.00723989688086876530666764536465040660241925,000$
14Victor Mancini (R)X100.00774087668982726330655860506365040640243925,000$
15Daemon HuntX100.00673887637874836230615865496365040630241925,000$
16David ReinbacherX100.00764279658568646230605964526163040630212925,000$
17Nolan AllanX100.00705473657982836330645766496264040630232925,000$
18Helge GransX100.00744083618782846230635660496365040630242930,100$
Scratches
1Gavin Brindley (R)X100.00553686596479695862555457566163040580213925,000$
2Paul Ludwinski (R)X100.00583786576765725662545552536163040580223925,000$
3Tanner DickinsonXX100.00593594556271735459535651556365040580242925,000$
4Kirill Kudryavtsev (R)X100.00633690617380725930605457496163040600223925,000$
5Tyson HindsX100.00724081578167875630555358466264040600232925,000$
6Marek Alscher (R)X100.00764178568564695530545358456163040590223925,000$
7Zachary Hayes (R)X100.00784469568763685530545358456668040590273925,000$
8Ethan Edwards (R)X100.00573974566665605430595053456365040570243925,000$
TEAM AVERAGE100.0067398562757777615060586056636504062
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Filip Larsson (R)100.0074767279737274737274736777040660283925,000$
2Jesper Wallstedt100.0074868286737274737274736369040660231925,000$
Scratches
1Garin Bjorklund (R)100.0077706675767577767577766369040670243925,000$
2Sebastian Cossa100.0077878398767577767577766369040670231925,000$
3Dylan Ferguson (R)100.0065736979646365646365646777040610273925,000$
TEAM AVERAGE100.007378748372717372717372657204065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Nelson61737275857966CAN554500,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Fedor SvechkovStars (DAL)C/LW4523264911120471071935114411.92%1293120.70611174813902251623251.47%34000101.0500000234
2Dalibor DvorskyStars (DAL)C45142438416059123128449810.94%988319.6351116261411012723052.62%112700000.8600000124
3Alex TurcotteStars (DAL)C4472835-418028132130421225.38%483318.932101233144000023153.40%113300000.8400000211
4Isak RosenStars (DAL)C/LW/RW451517320803354124329312.10%980317.863710281390000151046.34%4100000.8000000211
5Justin BarronStars (DAL)D44625312220555310940665.50%5197622.184101459150000016020%000000.6400000101
6Jaret Anderson-DolanStars (DAL)C/LW/RW451117282260784612835738.59%1078217.393473914601141161041.56%7700000.7200000220
7Victor ManciniStars (DAL)D4562127525566517416528.11%3485018.89461047151101139200%300000.6400010312
8Alex SteevesStars (DAL)C/LW/RW4510162682608166150351176.67%1179217.62347531520002460251.34%29800000.6600000120
9David ReinbacherStars (DAL)D45517224601076555927578.47%5091220.27448261340112116000%000000.4800020012
10Helge GransStars (DAL)D45814223335663247173317.02%5888919.765510271350110104110%000000.4900001310
11Daemon HuntStars (DAL)D4511314318037444117242.44%5980217.84000480001117000%000000.3500000000
12Nolan AllanStars (DAL)D457714450101106051151813.73%6497321.63000030001132110%000000.2900101012
13Jakob PelletierStars (DAL)LW/RW2886148160453568225511.76%750217.96000050000372161.76%3400010.5600000122
14Nate DanielsonStars (DAL)C453912518046666925604.35%1049210.94000002024722049.17%60000000.4900000110
15Simon RobertssonStars (DAL)RW453690801817329429.38%13618.0200000000000038.46%2600000.5000000000
16Oskar OlaussonStars (DAL)C/LW/RW45448200351737132810.81%14069.0400000000001045.71%3500000.3900000001
17Marc McLaughlinStars (DAL)C/RW45448-41004633518397.84%44329.6100007000001057.65%17000000.3700000000
18Nick CousinsStarsC/LW10606-280311129111620.69%017117.1400000000001153.33%1500010.7000000100
19Riley KidneyStars (DAL)C/LW/RW32235-3602172071310.00%12939.1800000000000046.67%1500000.3400000000
20Tanner DickinsonStars (DAL)C/LW17000-620337240%11217.1200000000000044.44%90000000000000
Team Total or Average80514325740042382309811012154746811549.24%3961321216.4139721113901463459221052221151.90%392300120.6100132201820
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
1Garin BjorklundStars (DAL)2817810.9052.6715710270738001002519110
2Sebastian CossaStars (DAL)2141310.8853.7510714067584000001925000
3Jesper WallstedtStars (DAL)11000.9092.0060002220000010000
Team Total or Average50222120.8973.09270342139134400104544110


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday 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 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
Alex SteevesStars (DAL)C/LW/RW261999-12-10USANo202 Lbs183 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Alex TurcotteStars (DAL)C252001-02-26USANo185 Lbs180 CMNoNoN/ANoNo22024-05-18FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Daemon HuntStars (DAL)D242002-05-15CANNo201 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Dalibor DvorskyStars (DAL)C212005-06-15SVKYes201 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
David ReinbacherStars (DAL)D212004-10-25AUTNo209 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Dylan FergusonStars (DAL)G271998-09-20CANYes194 Lbs188 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Ethan EdwardsStars (DAL)D242002-06-06CANYes176 Lbs178 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Fedor SvechkovStars (DAL)C/LW232003-04-05RUSNo187 Lbs183 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Filip LarssonStars (DAL)G281998-08-17SWEYes194 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Garin BjorklundStars (DAL)G242002-05-28CANYes174 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Gavin BrindleyStars (DAL)C212004-10-05USAYes175 Lbs175 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Helge GransStars (DAL)D242002-05-10SWENo205 Lbs193 CMNoNoN/ANoNo22025-05-10FalseFalsePro & Farm930,100$0$0$No930,100$--------930,100$--------No--------Link / NHL Link
Isak RosenStars (DAL)C/LW/RW232003-03-15SWENo180 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Jakob Pelletier (1 Way Contract)Stars (DAL)LW/RW252001-03-07CANNo170 Lbs175 CMNoNoFree AgentNoNo42025-07-19FalseFalsePro & Farm2,000,000$2,000,000$994,819$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Link / NHL Link
Jaret Anderson-DolanStars (DAL)C/LW/RW261999-09-12CANNo200 Lbs180 CMNoNoFree AgentNoNo12025-07-13FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Jesper WallstedtStars (DAL)G232002-11-14SWENo214 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Justin BarronStars (DAL)D242001-11-15CANNo198 Lbs188 CMNoNoN/ANoNo12024-05-18FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Kirill KudryavtsevStars (DAL)D222004-02-05RUSYes200 Lbs180 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Marc McLaughlinStars (DAL)C/RW271999-07-26USANo202 Lbs183 CMNoNoN/ANoNo22024-05-18FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Marek AlscherStars (DAL)D222004-04-07CZEYes206 Lbs191 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Nate DanielsonStars (DAL)C212004-09-27CANYes185 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Nolan AllanStars (DAL)D232003-04-28CANNo195 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Oskar OlaussonStars (DAL)C/LW/RW232002-11-10SWENo180 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Paul LudwinskiStars (DAL)C222004-04-23CANYes172 Lbs180 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Riley KidneyStars (DAL)C/LW/RW232003-03-25CANNo181 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Sebastian CossaStars (DAL)G232002-11-21CANNo229 Lbs198 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Simon RobertssonStars (DAL)RW232003-02-05SWEYes190 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Tanner DickinsonStars (DAL)C/LW242002-03-05USANo150 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Tyson HindsStars (DAL)D232003-03-12CANNo188 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Victor ManciniStars (DAL)D242002-05-26USAYes229 Lbs191 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Zachary HayesStars (DAL)D271999-04-24CANYes219 Lbs191 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3123.74193 Lbs185 CM2.26959,842$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fedor SvechkovAlex TurcotteAlex Steeves38122
2Isak RosenJaret Anderson-DolanJakob Pelletier30023
3Oskar OlaussonDalibor DvorskyMarc McLaughlin20122
4Riley KidneyNate DanielsonSimon Robertsson12131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanJustin Barron40041
2Daemon HuntDavid Reinbacher30041
3Victor ManciniHelge Grans20041
4Helge GransVictor Mancini10041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jaret Anderson-DolanAlex TurcotteAlex Steeves60005
2Fedor SvechkovDalibor DvorskyIsak Rosen40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor ManciniJustin Barron60014
2Helge GransDavid Reinbacher40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Fedor SvechkovJaret Anderson-Dolan60041
2Dalibor DvorskyJakob Pelletier40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Daemon HuntNolan Allan60140
2Helge GransDavid Reinbacher40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Fedor Svechkov60050Daemon HuntNolan Allan60050
2Jaret Anderson-Dolan40050David ReinbacherHelge Grans40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nate DanielsonJaret Anderson-Dolan60122
2Dalibor DvorskyFedor Svechkov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Daemon HuntHelge Grans60041
2Nolan AllanVictor Mancini40041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Fedor SvechkovAlex TurcotteIsak RosenVictor ManciniJustin Barron
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Fedor SvechkovDalibor DvorskyJaret Anderson-DolanNolan AllanDavid Reinbacher
Extra Forwards
Normal PowerPlayPenalty Kill
Dalibor Dvorsky, Alex Turcotte, Fedor SvechkovDalibor Dvorsky, Marc McLaughlinAlex Steeves
Extra Defensemen
Normal PowerPlayPenalty Kill
David Reinbacher, Victor Mancini, Justin BarronDaemon HuntDavid Reinbacher, Nolan Allan
Penalty Shots
Alex Turcotte, Fedor Svechkov, Isak Rosen, Alex Steeves, Nate Danielson
Goalie
#1 : Jesper Wallstedt, #2 : Filip Larsson


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
1Admirals2020000048-4000000000002020000048-400.0004711004257431464965055388712328348225.00%14378.57%1867164652.67%793153851.56%37673251.37%1129788995327580299
2Americans1010000034-11010000034-10000000000000.00036900425743136496505538836820184125.00%9366.67%0867164652.67%793153851.56%37673251.37%1129788995327580299
3Barracuda32100000871110000004222110000045-140.6678152300425743110649650553888719167610110.00%7357.14%0867164652.67%793153851.56%37673251.37%1129788995327580299
4Bears2010010079-21010000034-11000010045-110.25071118004257431544965055388883222448225.00%100100.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
5Canucks21000100651110000003121000010034-130.750611170042574317949650553885817134115426.67%40100.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
6Checkers211000001037110000008081010000023-120.5001016260142574311114965055388551814515240.00%7185.71%1867164652.67%793153851.56%37673251.37%1129788995327580299
7Comets11000000606000000000001100000060621.000611170142574314949650553882052172150.00%10100.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
8Condors2110000059-4110000005321010000006-620.5005101500425743166496505538859191446500.00%7271.43%0867164652.67%793153851.56%37673251.37%1129788995327580299
9Crunch1010000015-4000000000001010000015-400.000123004257431274965055388309823400.00%4250.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
10Eagles11000000422000000000001100000042221.0004812004257431374965055388425823100.00%4175.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
11Firebirds220000001183110000005411100000064241.000111728004257431714965055388501310408450.00%5180.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
12Griffins10001000431000000000001000100043121.00048120042574314349650553882350195120.00%000%0867164652.67%793153851.56%37673251.37%1129788995327580299
13Gulls2020000047-31010000023-11010000024-200.0004711004257431484965055388571616485120.00%8362.50%0867164652.67%793153851.56%37673251.37%1129788995327580299
14Heat1010000035-2000000000001010000035-200.0003581042574313549650553882610617400.00%20100.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
15IceHogs2020000018-71010000016-51010000002-200.00012300425743158496505538860183052200.00%9455.56%0867164652.67%793153851.56%37673251.37%1129788995327580299
16Marlies11000000211110000002110000000000021.00023500425743140496505538821124205120.00%20100.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
17Monsters1010000035-21010000035-20000000000000.00036900425743129496505538830612246233.33%6266.67%0867164652.67%793153851.56%37673251.37%1129788995327580299
18Moose22000000734000000000002200000073441.00071320004257431914965055388461814311218.33%6183.33%0867164652.67%793153851.56%37673251.37%1129788995327580299
19Penguins11000000523110000005230000000000021.0005101500425743136496505538829610293133.33%5260.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
20Phantoms11000000624110000006240000000000021.0006111700425743152496505538822610339333.33%4250.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
21Reign21100000660211000006600000000000020.50061218004257431604965055388411434449222.22%7442.86%1867164652.67%793153851.56%37673251.37%1129788995327580299
22Roadrunners1010000045-11010000045-10000000000000.00048120042574312749650553882256216233.33%3233.33%0867164652.67%793153851.56%37673251.37%1129788995327580299
23Rocket2110000067-1110000003121010000036-320.50061016004257431784965055388662210371119.09%5260.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
24Senators2020000047-31010000013-21010000034-100.0004610004257431554965055388722116518112.50%8187.50%0867164652.67%793153851.56%37673251.37%1129788995327580299
25Sound Tigers11000000532110000005320000000000021.000591400425743134496505538833106205120.00%3166.67%0867164652.67%793153851.56%37673251.37%1129788995327580299
26Thunderbirds1010000025-3000000000001010000025-300.000246004257431284965055388461212204125.00%60100.00%0867164652.67%793153851.56%37673251.37%1129788995327580299
27Wild22000000633110000003121100000032141.00061117004257431614965055388581514477228.57%6183.33%0867164652.67%793153851.56%37673251.37%1129788995327580299
28Wolf Pack11000000532000000000001100000053221.00059140042574313349650553883411192122100.00%6266.67%0867164652.67%793153851.56%37673251.37%1129788995327580299
29Wolves21100000550110000004221010000013-220.500591400425743157496505538863211234600.00%6266.67%1867164652.67%793153851.56%37673251.37%1129788995327580299
Total452121012001431403211380000076581824813012006782-15460.5111432574001242574311547496505538813453963869811793921.79%1644572.56%4867164652.67%793153851.56%37673251.37%1129788995327580299
_Since Last GM Reset452121012001431403211380000076581824813012006782-15460.5111432574001242574311547496505538813453963869811793921.79%1644572.56%4867164652.67%793153851.56%37673251.37%1129788995327580299
_Vs Conference251212001007181-10106400000333121568001003850-12250.500711302011042574318134965055388723204221540962020.83%882571.59%2867164652.67%793153851.56%37673251.37%1129788995327580299
_Vs Division1156000002834-631200000812-4844000002022-2100.45528538100425743134849650553883459611222840820.00%481275.00%1867164652.67%793153851.56%37673251.37%1129788995327580299

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4546W11432574001547134539638698112
All Games
GPWLOTWOTL SOWSOLGFGA
4521211200143140
Home Games
GPWLOTWOTL SOWSOLGFGA
2113800007658
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2481312006782
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1793921.79%1644572.56%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
49650553884257431
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
867164652.67%793153851.56%37673251.37%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1129788995327580299


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2025-10-0917Stars4Moose1WBox score
5 - 2025-10-1134Stars4Eagles2WBox score
8 - 2025-10-1454Wild1Stars3WBox score
10 - 2025-10-1668Canucks1Stars3WBox score
12 - 2025-10-1883Stars2Thunderbirds5LBox score
15 - 2025-10-21106Monsters5Stars3LBox score
17 - 2025-10-23119Reign2Stars1LBox score
19 - 2025-10-25138Wolves2Stars4WBox score
20 - 2025-10-26145Stars1Admirals3LBox score
22 - 2025-10-28159Bears4Stars3LBox score
24 - 2025-10-30169Stars1Crunch5LBox score
26 - 2025-11-01185Stars2Checkers3LBox score
29 - 2025-11-04207Condors3Stars5WBox score
31 - 2025-11-06224Gulls3Stars2LBox score
33 - 2025-11-08233Stars3Admirals5LBox score
34 - 2025-11-09248Firebirds4Stars5WBox score
36 - 2025-11-11258Stars3Senators4LBox score
38 - 2025-11-13270Stars3Rocket6LBox score
40 - 2025-11-15293Phantoms2Stars6WBox score
43 - 2025-11-18310Sound Tigers3Stars5WBox score
45 - 2025-11-20328Stars3Canucks4LXBox score
47 - 2025-11-22345Stars3Heat5LBox score
50 - 2025-11-25360Stars0Condors6LBox score
51 - 2025-11-26375Stars6Firebirds4WBox score
53 - 2025-11-28390Roadrunners5Stars4LBox score
55 - 2025-11-30405Senators3Stars1LBox score
57 - 2025-12-02415Stars5Wolf Pack3WBox score
58 - 2025-12-03421Stars6Comets0WBox score
60 - 2025-12-05438Barracuda2Stars4WBox score
62 - 2025-12-07456Penguins2Stars5WBox score
64 - 2025-12-09473Stars3Moose2WBox score
66 - 2025-12-11488Stars3Wild2WBox score
68 - 2025-12-13505Checkers0Stars8WBox score
70 - 2025-12-15518Reign4Stars5WBox score
73 - 2025-12-18543Stars1Barracuda3LBox score
74 - 2025-12-19548Stars2Gulls4LBox score
76 - 2025-12-21568Marlies1Stars2WBox score
78 - 2025-12-23579Stars4Griffins3WXBox score
82 - 2025-12-27596IceHogs6Stars1LBox score
86 - 2025-12-31628Americans4Stars3LBox score
87 - 2026-01-01637Stars0IceHogs2LBox score
90 - 2026-01-04657Rocket1Stars3WBox score
92 - 2026-01-06671Stars1Wolves3LBox score
93 - 2026-01-07677Stars4Bears5LXBox score
96 - 2026-01-10700Stars3Barracuda2WBox score
98 - 2026-01-12724Stars-Reign-
99 - 2026-01-13734Stars-Gulls-
101 - 2026-01-15746Stars-Roadrunners-
104 - 2026-01-18767Crunch-Stars-
106 - 2026-01-20783Bruins-Stars-
108 - 2026-01-22797Stars-Monsters-
109 - 2026-01-23804Thunderbirds-Stars-
113 - 2026-01-27836Stars-Thunderbirds-
115 - 2026-01-29856Stars-Silver Knights-
117 - 2026-01-31870Stars-Roadrunners-
119 - 2026-02-02882Moose-Stars-
121 - 2026-02-04899Thunderbirds-Stars-
142 - 2026-02-25913Firebirds-Stars-
145 - 2026-02-28945Admirals-Stars-
147 - 2026-03-02956Stars-Canucks-
148 - 2026-03-03965Stars-Heat-
151 - 2026-03-06984Eagles-Stars-
153 - 2026-03-081004IceHogs-Stars-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101020Silver Knights-Stars-
157 - 2026-03-121034Condors-Stars-
159 - 2026-03-141053Griffins-Stars-
161 - 2026-03-161066Roadrunners-Stars-
163 - 2026-03-181080Stars-Eagles-
166 - 2026-03-211101Stars-Wild-
167 - 2026-03-221115Silver Knights-Stars-
169 - 2026-03-241130Comets-Stars-
171 - 2026-03-261141Stars-Sound Tigers-
173 - 2026-03-281156Stars-Penguins-
174 - 2026-03-291172Stars-Phantoms-
176 - 2026-03-311178Stars-Bruins-
178 - 2026-04-021198Moose-Stars-
180 - 2026-04-041209Eagles-Stars-
183 - 2026-04-071239Heat-Stars-
185 - 2026-04-091254Wild-Stars-
187 - 2026-04-111268Wolf Pack-Stars-
189 - 2026-04-131285Stars-Marlies-
191 - 2026-04-151301Stars-Americans-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price2515
Attendance57,92139,156
Attendance PCT91.94%93.23%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
20 4623 - 92.45% 141,506$2,971,632$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,689,796$ 2,775,510$ 2,775,510$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,438,469$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,830,126$ 96 16,972$ 1,629,312$




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