Stars

GP: 32 | W: 18 | L: 7 | OTL: 7 | P: 43
GF: 116 | GA: 101 | PP%: 25.26% | PK%: 82.18%
GM : Marc-Andre Turcotte | Morale : 75 | Team Overall : 63
Next Games #556 vs Roadrunners

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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 SP
1Kiefer Sherwood0XXX100.00835979687389876663676861676971075670
2Sam Gagner (A)0XXX100.00633792677278776668636564698577075660
3Alex Belzile (A)22XX100.00654172677488836663686465677375075660
4Taylor Raddysh (R)0X100.00713792678387896458656667636869075660
5Hendrix Lapierre (R)0X100.00613787697079856773686263656264075650
6Zac Dalpe26XX100.00713982668086846365616460667579075650
7Michael Eyssimont0X100.00746965697582876774686263666870075650
8Tanner Laczynski (R)0X100.00663792657583756670656364666769075650
9Lias Andersson (R)24XX100.00753881647389826268616360646768075640
10Gabriel Dumont (C)40XX100.00605472636983796167606264617479075630
11Garrett Pilon (R)0X100.00653790637382816267646061596668075630
12Chaz Lucius (R)0X100.00653887637476646271655658626163075610
13Jacob MacDonald0X100.00704085657580786430686662577173075650
14Caleb Jones (R)82X100.00723984667684806530715964526870075650
15Mark Friedman52X100.00734075656980746330645966506971075640
16Adam Ginning (R)0X100.00734270638380855930586264506566075630
17Ryker Evans (R)0X100.00683973677087856530685762496365075630
18Scott Perunovich (R)0X100.00603690676581746630715359496668075630
Scratches
1Jasper Weatherby (R)0XX100.00824279599175865864565762586668075620
2Martin Chromiak (R)0X100.00633887617285835862596056616364075610
3John Farinacci (R)0X100.00623793637277725869615759626365075610
4Curtis Douglas (R)0X100.00908253569978825465575563566466075610
5Nolan Stevens0X100.00714084588071795766595658556870075610
6Jared Davidson (R)0X100.00624074607187665763546156606264075590
7Logan Mailloux (R)0X100.00754267658789736430665862506163075630
8Tyler Kleven (R)0X100.00744275638681726230655866496264075630
9Cameron Crotty (R)0X100.00793985598075825830575662516567075620
10Tobie Paquette-Bisson (R)0X100.00734276568267845430575559476769075600
11Jared McIsaac (R)0X100.00683887597766755830575354466466075600
12Jeremy Davies0X100.00573966596877855730585660496870075600
13Nolan Allan (R)0X100.00705575587965705730565462466163075590
14Michael Vukojevic (R)0X100.00764182568565755530545357456365075590
TEAM AVERAGE100.0070438063778079615162596157676807563
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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 SP
1Dustin Wolf (R)100.0079918770787779787779786370075670
2Jordan Papirny100.0067726771666567666567666881075610
Scratches
TEAM AVERAGE100.007382777172717372717372667607564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Karl Taylor71727374827670CAN533500,000$


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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
1Sam GagnerStars (DAL)C/LW/RW321521366001045119226712.61%758918.41651120730000124152.00%5000001.2200000302
2Alex BelzileStars (DAL)C/RW321219316140365213042829.23%1372322.62178218200011071049.02%5100000.8600000222
3Taylor RaddyshStars (DAL)RW311614306602848102348015.69%856618.29461025680000412146.88%3200001.0600000212
4Michael EyssimontStars (DAL)C3214152943001048198256514.29%755917.4837101475000003152.70%72300001.0400000313
5Hendrix LapierreStars (DAL)C32111627440128711638739.48%668021.2832529831011233150.60%92100000.7900000001
6Caleb JonesStars (DAL)D3222527914059544020455.00%5877024.082571878000075000.00%000000.7000000010
7Kiefer SherwoodStars (DAL)C/LW/RW32111627338101085012835788.59%469121.602242383000172059.77%8700000.7800101032
8Scott PerunovichStars (DAL)D32219210802529378275.41%3964520.182462378000012000.00%000000.6500000200
9Tanner LaczynskiStars (DAL)C3011920102085168144716.18%838312.77000010002432053.62%44200001.0400000061
10Jacob MacDonaldStars (DAL)D2761016-3300593145102413.33%4160322.351342361000144000.00%000000.5300000130
11Ryker EvansStars (DAL)D31312151020055343312159.09%3162420.150221273000033000.00%000000.4800000000
12Zac DalpeStars (DAL)C/RW327613714036157315369.59%337711.7900010000001136.36%2200000.6900000102
13Adam GinningStars (DAL)D322810231547181882111.11%3151416.0800001000081010.00%000000.3900001000
14Lias AnderssonStars (DAL)C/LW27191096027254613442.17%231611.7400003000210050.00%2400000.6300000001
15Mark FriedmanStars (DAL)D3208838047242315130.00%4854016.88011311000090000.00%000000.3000000000
16Logan MaillouxStars (DAL)D1904408019813280.00%141829.5801131401101500100.00%100000.4400000001
17Gabriel DumontStars (DAL)C/RW32123-120021424011332.50%734910.930001600011130045.72%26900000.1700000000
18Garrett PilonStars (DAL)C32202-7001216276157.41%01805.6300000000000050.00%3600000.2200000000
19Chaz LuciusStars (DAL)C22011-7401320205150.00%21677.6300000000020050.32%15700000.1200000000
Team Total or Average571116214330502371572673011763357889.86%329946716.58244569216798112970818651.26%281500000.7000102141717
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
1Dustin WolfStars (DAL)3218770.9003.1319390210110050000.0000320300
Team Total or Average3218770.9003.1319390210110050000.0000320300


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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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam GinningD242000-01-13Yes196 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Alex BelzileC/RW331991-08-31No196 Lbs6 ft0NoNoNo1UFAPro & Farm999,999$0$0$NoLink / NHL Link
Caleb JonesD271997-06-06Yes194 Lbs6 ft1NoNoNo3RFAPro & Farm887,000$0$0$NoLink / NHL Link
Cameron CrottyD251999-05-05Yes182 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Chaz LuciusC212003-05-02Yes185 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Curtis DouglasC242000-03-06Yes235 Lbs6 ft9NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Dustin WolfG232001-04-16Yes166 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gabriel DumontC/RW331990-10-06No195 Lbs5 ft10NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Garrett PilonC261998-04-13Yes191 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Hendrix LapierreC222002-02-09Yes180 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jacob MacDonaldD311993-02-26No204 Lbs6 ft0NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Jared DavidsonC222002-07-07Yes188 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$No
Jared McIsaacD242000-03-27Yes196 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jasper WeatherbyC/LW261998-01-22Yes222 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jeremy DaviesD271996-12-04No180 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
John FarinacciC232001-02-14Yes197 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$No
Jordan PapirnyG281996-04-10No169 Lbs6 ft1NoNoNo2UFAPro & Farm950,000$0$0$NoLink / NHL Link
Kiefer SherwoodC/LW/RW291995-03-31No194 Lbs6 ft0NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Lias Andersson (1 Way Contract)C/LW251998-10-13Yes185 Lbs6 ft1NoNoNo1RFAPro & Farm1,097,000$1,097,000$654,842$NoLink / NHL Link
Logan MaillouxD212003-04-15Yes220 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$No
Mark FriedmanD281995-12-25No185 Lbs5 ft11NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Martin ChromiakRW222002-08-20Yes187 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Michael EyssimontC281996-09-09No201 Lbs6 ft0NoNoNo1UFAPro & Farm950,000$0$0$NoLink / NHL Link
Michael VukojevicD232001-06-08Yes207 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Nolan AllanD212003-04-28Yes195 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$No
Nolan StevensLW281996-07-22No183 Lbs6 ft3NoNoNo1UFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryker EvansD222001-12-13Yes189 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sam GagnerC/LW/RW351989-08-10No200 Lbs5 ft11NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Scott PerunovichD261998-08-18Yes175 Lbs5 ft10NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Tanner LaczynskiC271997-06-01Yes190 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Taylor RaddyshRW261998-02-18Yes198 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Tobie Paquette-BissonD271997-02-01Yes194 Lbs6 ft3NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Tyler KlevenD222002-01-10Yes200 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$No
Zac DalpeC/RW341989-11-01No197 Lbs6 ft2NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3425.97193 Lbs6 ft11.85920,118$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kiefer SherwoodHendrix LapierreAlex Belzile40023
2Sam GagnerMichael EyssimontTaylor Raddysh30122
3Lias AnderssonTanner LaczynskiZac Dalpe20122
4Garrett PilonChaz LuciusGabriel Dumont10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldScott Perunovich35014
2Ryker EvansCaleb Jones35014
3Adam GinningMark Friedman20041
4Jacob MacDonaldCaleb Jones10023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kiefer SherwoodHendrix LapierreAlex Belzile60005
2Sam GagnerMichael EyssimontTaylor Raddysh40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldScott Perunovich50014
2Ryker EvansCaleb Jones50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Gabriel DumontAlex Belzile60131
2Tanner LaczynskiTaylor Raddysh40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam GinningMark Friedman60131
2Jacob MacDonaldCaleb Jones40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Gabriel Dumont60140Adam GinningMark Friedman60140
2Alex Belzile40140Jacob MacDonaldCaleb Jones40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Hendrix LapierreKiefer Sherwood60023
2Sam GagnerTaylor Raddysh40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldScott Perunovich50023
2Ryker EvansCaleb Jones50023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kiefer SherwoodHendrix LapierreSam GagnerJacob MacDonaldMichael Eyssimont
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kiefer SherwoodGabriel DumontAlex BelzileAdam GinningMark Friedman
Extra Forwards
Normal PowerPlayPenalty Kill
Hendrix Lapierre, Kiefer Sherwood, Sam GagnerLias Andersson, Tanner LaczynskiHendrix Lapierre
Extra Defensemen
Normal PowerPlayPenalty Kill
Scott Perunovich, Ryker Evans, Mark FriedmanMark FriedmanRyker Evans, Scott Perunovich
Penalty Shots
Sam Gagner, Kiefer Sherwood, Alex Belzile, Hendrix Lapierre, Michael Eyssimont
Goalie
#1 : Dustin Wolf, #2 : Jordan Papirny
Custom OT Lines Forwards
Kiefer Sherwood, Hendrix Lapierre, Sam Gagner, Michael Eyssimont, Taylor Raddysh, Lias Andersson, Lias Andersson, Alex Belzile, Tanner Laczynski, Gabriel Dumont, Zac Dalpe
Custom OT Lines Defensemen
Jacob MacDonald, Caleb Jones, Scott Perunovich, Ryker Evans, Mark Friedman


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3243OTL11162143301176100532923772602
All Games
GPWLOTWOTL SOWSOLGFGA
321573700116101
Home Games
GPWLOTWOTL SOWSOLGFGA
1810215007760
Visitor Games
GPWLOTWOTL SOWSOLGFGA
145522003941
Last 10 Games
WLOTWOTL SOWSOL
520300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
952425.26%1011882.18%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
392339425204728383
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
606117351.66%566109151.88%27151352.83%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
796555732231413210


Last Played Games
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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
7 - 2024-10-1017Stars2Admirals3LBoxScore
9 - 2024-10-1232Sound Tigers2Stars7WBoxScore
10 - 2024-10-1339Firebirds1Stars7WBoxScore
12 - 2024-10-1554Barracuda2Stars5WBoxScore
14 - 2024-10-1766Stars5Bears2WBoxScore
16 - 2024-10-1977Condors3Stars5WBoxScore
19 - 2024-10-2295Stars3Americans0WBoxScore
21 - 2024-10-24109Stars3Bruins0WBoxScore
23 - 2024-10-26132IceHogs3Stars5WBoxScore
29 - 2024-11-01168Checkers5Stars2LBoxScore
30 - 2024-11-02174Stars3Checkers5LBoxScore
35 - 2024-11-07216IceHogs3Stars2LXBoxScore
37 - 2024-11-09230Stars4Moose3WBoxScore
39 - 2024-11-11241Stars2Penguins1WBoxScore
42 - 2024-11-14262Bruins6Stars5LXBoxScore
44 - 2024-11-16281Stars2Wild5LBoxScore
46 - 2024-11-18291Gulls3Stars6WBoxScore
48 - 2024-11-20303Barracuda2Stars4WBoxScore
51 - 2024-11-23325Stars2Crunch3LXBoxScore
53 - 2024-11-25339Stars2Wolves3LXBoxScore
55 - 2024-11-27357Stars5IceHogs4WXBoxScore
57 - 2024-11-29373Eagles6Stars2LBoxScore
59 - 2024-12-01391Moose4Stars6WBoxScore
60 - 2024-12-02395Stars4Roadrunners3WXBoxScore
62 - 2024-12-04409Stars1Reign4LBoxScore
64 - 2024-12-06423Stars1Silver Knights5LBoxScore
66 - 2024-12-08442Wranglers1Stars3WBoxScore
70 - 2024-12-12466Admirals6Stars5LXBoxScore
72 - 2024-12-14483Thunderbirds3Stars4WXBoxScore
74 - 2024-12-16494Bears4Stars3LXBoxScore
76 - 2024-12-18508Marlies2Stars3WBoxScore
78 - 2024-12-20525Wolf Pack4Stars3LXBoxScore
81 - 2024-12-23556Stars-Roadrunners-
85 - 2024-12-27563Wild-Stars-
87 - 2024-12-29577Stars-IceHogs-
89 - 2024-12-31595Americans-Stars-
91 - 2025-01-02608Senators-Stars-
93 - 2025-01-04628Roadrunners-Stars-
96 - 2025-01-07643Stars-Wolf Pack-
98 - 2025-01-09657Stars-Phantoms-
100 - 2025-01-11673Stars-Rocket-
101 - 2025-01-12685Stars-Senators-
103 - 2025-01-14693Stars-Marlies-
105 - 2025-01-16715Rocket-Stars-
107 - 2025-01-18724Stars-Eagles-
108 - 2025-01-19739Griffins-Stars-
110 - 2025-01-21753Wolves-Stars-
113 - 2025-01-24774Silver Knights-Stars-
114 - 2025-01-25783Stars-Thunderbirds-
117 - 2025-01-28805Stars-Silver Knights-
120 - 2025-01-31823Comets-Stars-
122 - 2025-02-02840Monsters-Stars-
124 - 2025-02-04856Stars-Gulls-
127 - 2025-02-07875Stars-Reign-
128 - 2025-02-08889Stars-Barracuda-
142 - 2025-02-22897Stars-Devils-
143 - 2025-02-23913Stars-Sound Tigers-
145 - 2025-02-25924Stars-Monsters-
148 - 2025-02-28946Reign-Stars-
150 - 2025-03-02964Thunderbirds-Stars-
152 - 2025-03-04979Devils-Stars-
154 - 2025-03-06994Wranglers-Stars-
156 - 2025-03-081011Stars-Condors-
157 - 2025-03-091019Stars-Comets-
162 - 2025-03-141051Stars-Moose-
164 - 2025-03-161067Stars-Eagles-
166 - 2025-03-181083Gulls-Stars-
168 - 2025-03-201097Crunch-Stars-
170 - 2025-03-221105Phantoms-Stars-
172 - 2025-03-241127Wild-Stars-
174 - 2025-03-261141Stars-Condors-
175 - 2025-03-271150Stars-Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
177 - 2025-03-291169Stars-Firebirds-
179 - 2025-03-311181Stars-Firebirds-
182 - 2025-04-031201Admirals-Stars-
184 - 2025-04-051211Penguins-Stars-
185 - 2025-04-061223Stars-Wild-
187 - 2025-04-081242Comets-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
Arena Capacity20001000
Ticket Price4535
Attendance21,6448,437
Attendance PCT60.12%46.87%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-8 1671 - 55.71% 85,163$1,532,932$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,351,369$ 3,018,700$ 3,018,700$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,145,781$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-681,303$ 117 17,953$ 2,100,501$




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
Regular Season
58045190326539124214940229010531961078940231002212195135601153916611052170109138135407401239140713962853106967823802427631.40%1082378.70%41175213655.01%867169351.21%774145653.16%178098117648921593814
6805218010453452281174026800042176109674026100100316911950119345574919010114127993144011861056891262089944121792264720.80%1091586.24%8979185152.89%816169048.28%678129052.56%1763986382519061556783
776491800540318223953828600220178106723821120032014011723111318525843120911201033029010551027943238282442524062003115.50%871978.16%1958178453.70%768154049.87%659127451.73%171095414027001476755
87636280303627825028382014010121341191538161402024144131139027844071832076114823056010121058967247481955520301914423.04%1432880.42%01036196552.72%883164953.55%612113953.73%171898014477071448724
98041250433433926475402210012321651174840191503102174147271033395518903101001241083238011591105955280587240123351954523.08%1243075.81%31025206149.73%818174246.96%677131551.48%1793102615347341519772
1080362507246298256424018130211513012464018120513116813236102298486784320711151013197011141062993277486968322982185726.15%2385776.05%21133213952.97%999189152.83%690125654.94%174295515657801557763
11804025014642782364240191400241133118154021110122314511827102278459737150681129132280107011271015251787657321912145324.77%2655878.11%101034201551.32%991181654.57%638120652.90%177398215217931567761
12764015056462952237238196042251461004638219014211491232611029549078502079123843326010861223987260487544820822255424.00%1423674.65%51089208152.33%810166148.77%586117849.75%173798914357061455730
1380461903453319209110402780221015486684019110124316512342115319509828120104108993527013261211976272388330922402045526.96%1413674.47%41144213953.48%1006182355.18%680123055.28%1820105115117471520746
1480412302437303246574021100112516012535402013013121431212210330350080340099110893361012751101970278790530321462264821.24%1102379.09%21138210654.04%893172451.80%630122351.51%1823105415237431508757
1580481603355323205118402580113215910059402380222316410559120323532855520911329235530130812051013255392120221592135726.76%943364.89%11128212853.01%871160554.27%645117155.08%1881112314707301507751
167654100314431118113038312010221678186382380212214410044127311544855060111999428650889970978185553350913812886221.53%1983084.85%81612288155.95%1129209953.79%684126654.03%213315451499515973518
17803334040272522421040132003013124135-1140201401014128107218525244569733090886827270880872946230362162516982624517.18%2675280.52%21522283253.74%1366250954.44%687124055.40%2033142217965821018523
187641230307228120972382480104115494603817150203112711512104281485766230112837627990888897974201455240714572583814.73%1814276.80%41484273954.18%1209225653.59%712121858.46%201414551628535969504
198258150123330615615041327001011607585412680113214681651293065488542150130829026680919850882184056243914102224922.07%1833381.97%41633273959.62%1269222557.03%722129755.67%2206158916885641056557
20825217032353102209041268022211491064341269010141611144712331055686617010898983094096610451055232770654117463467120.52%2104479.05%31724319254.01%1336253852.64%680129352.59%2139151617755931056549
21824327064202862256141241303010141102394119140341014512322106286525811130107908128520929936957241866542716602366326.69%1843978.80%41798300359.87%1506259957.95%803132760.51%2204158217005531046557
22825714015233452381074128701311173115584129700212172123491283456129572401379610933290106110531175244171046618602605721.92%1893879.89%31926336757.20%1558268757.98%817140158.32%2171155117305661054550
238247230711331123873412310050031521124041241302110159126331143115558663512010578930431006105695042251976263918552606424.62%2484980.24%41811322756.12%1555275356.48%758132257.34%2166152817385651046552
202282422406532366277894120150510018314043412290143218313746109366666103230151102104123082997104898572267077560219332577428.79%2495478.31%11761303957.95%1640278858.82%871145359.94%2164154217535701054550
202382522006130343237106412412040101721225041288021201711155612334362797031130107979321811181023105631255476162319583018929.57%2565279.69%41857320158.01%1600277657.64%750133756.10%2131151217675711043546
202432157037001161011518102015007760171455022003941-2431162143300247283831176392339425201005329237726952425.26%1011882.18%1606117351.66%566109151.88%27151352.83%796555732231413210
Total Regular Season1706968445075617780671449061808855502210039254039338323531030851466235036363741333125537782381671411504182184275448213922761732675863513228282262118238530381678810533421305139120323.41%382780978.86%78295735379854.97%244564515554.16%150242740554.82%417082688736812152942744413983
Playoff
51495000005135166330000020137862000003122918518413501015191757802301761725101595434143818.60%16475.00%019336952.30%17034748.99%10021646.30%30116620391022263136
61367000004650-4743000002527-2624000002123-212467712300018131447102001371275181625334933412.12%16381.25%015729453.40%16431152.73%11822452.68%27715140992026249131
740400000920-112020000069-320200000311-809162500042314505443471684827110200.00%10460.00%06210658.49%388445.24%246139.34%834584357238
8514000001323-102020000058-331200000815-7213243710015718506266502228041117300.00%10280.00%06011651.72%8315354.25%428847.73%9856118459043
92516900000101841711650000045414141040000056431332101169270100234431107503483863191027331208633562239.29%461273.91%039169856.02%34164253.12%23542655.16%562326518226460234
10514000001422-82110000087130300000615-921420341003831810486651204623714215213.33%13284.62%05813044.62%6113744.53%247930.38%10555113509848
11171070000060481286200000282269450000032266206097157000142221701023222122263818010343929724.14%46882.61%121842251.66%20542148.69%11925347.04%383219351168330161
121899000005953697200000362412927000002329-618599515400016172482802862752357282328047336822.22%31970.97%024452346.65%21043748.05%13128346.29%412243375166332166
132412120000091838136700000514921165000004034624911552460102642221081037534132497231894620611118.03%45980.00%033562953.26%31459652.68%22139855.53%556322494226453227
14126600000443866420000027216624000001717012447511900013161547901401521804221525728532928.13%21385.71%115028951.90%14226653.38%9318151.38%252134242119234120
151147000003640-4624000002223-1523000001417-383665101100711154450169971434231183231915320.00%17664.71%114426055.38%14527452.92%9317154.39%263140238119254130
16231670000081602113112000004930191055000003230232811512320203424227920265264247665161140416942324.47%631674.60%042182351.15%35166552.78%19536952.85%605431510160296155
17514000001023-132110000088030300000215-1321020300004321670564452194665411619421.05%26580.77%09619948.24%10219352.85%468752.87%13188139427134
1816115000004735127520000024168963000002319422478012700013171651401531771804531269427552713.46%44490.91%227254849.64%26750652.77%13525952.12%401283360112205103
1924141000000766881394000004633131156000003035-52876132208100312223830025329326563717011043859711.86%42685.71%046788252.95%37370153.21%20836756.68%655467514168310163
2012750000037361743000002526-1532000001210214376910601018810424012614214636913367259421126.19%30680.00%023442954.55%23240657.14%10219652.04%3032122708615679
211147000003038-8633000001620-4514000001418-48305484000101193930124141124321935823541614.63%27677.78%020743547.59%17535449.44%10819056.84%2892052417414073
22116500000413656420000025187523000001618-21241711120101717640201391461063521007225038923.68%34585.29%121842950.82%20437754.11%10618058.89%2741922568214772
2311650000031274633000001314-15320000018135123157881001013738101451071233221058223037821.62%32390.63%024941460.14%19636953.12%9516856.55%2791972458114273
20222416800000826517141130000050341610550000032311328214923100252924487428626027553756226148560761418.42%591083.05%150494953.11%44182453.52%20038252.36%638452553175322166
20231367000004751-4743000003031-1624000001720-312479213910231113048716115517014451588429854814.81%38781.58%028353053.40%24949250.61%11222450.00%3232263019316282
Total Playoff2981611370000010069357115394590000055947485145677800000447461-143221006175227587648317351271114334473820371931671034631801695690583717120.43%66613080.48%74963947452.39%4463855552.17%2507480252.21%7200462112069528647962441