Stars

GP: 30 | W: 13 | L: 15 | OTL: 2 | P: 28
GF: 118 | GA: 125 | PP%: 26.67% | PK%: 67.03%
GM : Alexandre Huet | Morale : 75 | Team Overall : 62
Next Games #473 vs Moose

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 SP
1Jani Nyman (R)0X100.00723984678389736866646963716266075660
2Taylor Raddysh (R)0X100.00693792678384896455666163586968075650
3Sam Gagner0XXX100.00633793647286716574665864677678075640
4John Farinacci (R)0X100.00733694657277846371646162656466075640
5Garrett Pilon (R)0X100.00643982637382846270665860636772075630
6Justin Robidas (R)0X100.00633595646685736371626160656264075620
7Curtis Douglas (R)0X100.00908251579975825564575663566567075620
8Martin Chromiak (R)0X100.00633790617284865862605957616365075610
9Jared Davidson (R)0X100.00633976617084805966586257616465075610
10Gabriel Dumont40XX100.00605472606981715865596056587580075610
11Jacob MacDonald0X100.00703978677586796530636866587274075660
12Ryker Evans (R)0X100.00734082697388856830736064526566075660
13Caleb Jones82X100.00723886657679766330705862506970075640
14Scott Perunovich (R)0X100.00633392696586766830755462516769075640
15Nolan Allan (R)0X100.00705473657982836330645766496264075630
16Adam Ginning (R)0X100.00734269608380865930625864516567075620
17Cameron Crotty (R)0X100.00714078628070835930605861496670075620
18Tobias Bjornfot33X100.00683887607479755930585561506466075610
Scratches
1Tanner Laczynski0X100.00663884657884786672636462666870075640
2Chaz Lucius (R)0X100.00653791627478675969615558566264075610
3Alex Campbell (R)0X100.00623695567174645552565754536366075590
4Julian Lutz (R)0X100.00653792587467685659575355546163075590
5Samuel Savoie (R)0X100.00573788586879735758565554576163075580
6Jeremy Davies0X100.00593973606880865930655657496971075610
7Rodwin Dionicio (R)0X100.00714659598068635630555860486163075590
TEAM AVERAGE100.0067418263758077615162596057666807562
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 SP
1Jordan Papirny100.0059736871585759585759586983075570
2Tristan Lennox (R)100.0059726882585759585759586369075570
Scratches
TEAM AVERAGE100.005973687758575958575958667607557
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Karl Taylor72737164837868CAN542500,000$


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
1Taylor RaddyshStars (DAL)RW3018153331204653121307914.88%961320.4634720800001372154.95%9100001.0801000032
2Sam GagnerStars (DAL)C/LW/RW30151732440234097318115.46%1467922.6745916881012560250.00%5200010.9400000211
3Jani NymanStars (DAL)RW30141731226074881313610310.69%1176025.3417815880002812155.41%22200000.8201000223
4Garrett PilonStars (DAL)C3081927220404780266710.00%862420.8245914800000160147.79%11300000.8601000120
5Tanner LaczynskiStars (DAL)C22917264100285568285713.24%440718.502579460000231154.62%48700001.2811000101
6Caleb JonesStars (DAL)D2432124820024263519128.57%2553222.211561343000137000.00%000000.9000000001
7Scott PerunovichStars (DAL)D2441721-340243739101910.26%2753922.482351854011042300.00%000000.7800000120
8Nolan AllanStars (DAL)D3061319-614073423892015.79%4761520.534591753011067010.00%000000.6200000110
9Jonny BrodzinskiStarsC/LW/RW126111774014416514579.23%327723.160337330001132060.93%38900001.2200000012
10John FarinacciStars (DAL)C305914-122016608326716.02%143814.63033833000000053.42%55600000.6400000000
11Justin RobidasStars (DAL)C306612-110052953183911.32%340413.4700000000000047.06%3400000.5900000000
12Cameron CrottyStars (DAL)D303912-560423030141710.00%3753417.822351270000148000.00%000000.4500000010
13Adam GinningStars (DAL)D282911924049142815167.14%2747917.1300032100013510100.00%100000.4600000001
14Ryker EvansStars (DAL)D1401111-740121111490.00%1824917.84022319000017000.00%000000.8800000001
15Jacob MacDonaldStars (DAL)D25279-1203118296116.90%1625010.02112628000023200.00%000000.7200000100
16Jared DavidsonStars (DAL)C2836906019302322213.04%22328.2900000000020050.52%29100000.7800000001
17Gabriel DumontStars (DAL)C/RW283582402221316149.68%02629.3700000000000051.84%29900000.6100000010
18Martin ChromiakStars (DAL)RW301122004732233.33%1561.89000000000290050.00%4800000.7100000000
19Curtis DouglasStars (DAL)C30011-105915116164818370.00%139313.13011250000000049.65%14300000.0500102000
20Chaz LuciusStars (DAL)C13000000101100.00%0100.7900001000040050.00%400000.0000000000
21Tobias BjornfotStars (DAL)D16000-42012816570.00%21569.7900061500000000.00%000000.0000000000
22Jeremy DaviesStars (DAL)D11000000100000.00%000.060000000000000.00%000000.0000000000
Team Total or Average545108211319-1620515676673103032074010.49%256852215.64245276169811123953913753.81%273000010.751410291413
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
1Tristan LennoxStars (DAL)30121520.8754.321666411209590201.0004300001
2Jordan PapirnyStars (DAL)51000.9362.14140005780000.0000030000
Team Total or Average35131520.8794.1518064112510370201.00043030001


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 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 GinningD252000-01-13Yes196 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Alex CampbellLW242001-02-27Yes182 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Caleb JonesD281997-06-06No194 Lbs6 ft1NoNoYes2UFAPro & Farm887,000$0$0$NoLink / NHL Link
Cameron CrottyD261999-05-05Yes182 Lbs6 ft3NoNoNo2RFAPro & Farm810,000$0$0$NoLink / NHL Link
Chaz LuciusC222003-05-02Yes185 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Curtis DouglasC252000-03-06Yes235 Lbs6 ft9NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Gabriel DumontC/RW351990-10-06No195 Lbs5 ft10NoNoNo2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Garrett PilonC271998-04-13Yes191 Lbs6 ft0NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Jacob MacDonaldD321993-02-26No204 Lbs6 ft0NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Jani NymanRW212004-07-30Yes212 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jared DavidsonC232002-07-07Yes188 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jeremy DaviesD281996-12-04No180 Lbs5 ft11NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
John FarinacciC242001-02-14Yes197 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jordan PapirnyG291996-04-10No169 Lbs6 ft1NoNoNo1UFAPro & Farm950,000$0$0$NoLink / NHL Link
Julian LutzLW212004-02-29Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Justin RobidasC222003-03-13Yes176 Lbs5 ft8NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Martin ChromiakRW232002-08-20Yes187 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Nolan AllanD222003-04-28Yes195 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Rodwin DionicioD212004-03-30Yes196 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryker EvansD232001-12-13Yes195 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sam GagnerC/LW/RW361989-08-10No200 Lbs5 ft11NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Samuel SavoieLW212004-03-25Yes189 Lbs5 ft10NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Scott PerunovichD271998-08-18Yes175 Lbs5 ft10NoNoYes1RFAPro & Farm1,150,000$0$0$NoLink / NHL Link
Tanner LaczynskiC281997-06-01No205 Lbs6 ft1NoNoNo3UFAPro & Farm950,000$0$0$NoLink / NHL Link
Taylor RaddyshRW271998-02-18Yes200 Lbs6 ft3NoNoNo3RFAPro & Farm2,063,000$0$0$NoLink / NHL Link
Tobias Bjornfot (1 Way Contract)D242001-04-06No200 Lbs6 ft0NoNoNo1RFAPro & Farm1,052,000$1,052,000$712,292$NoLink / NHL Link
Tristan LennoxG222002-10-21Yes193 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.41193 Lbs6 ft12.15959,704$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam GagnerGabriel DumontJani Nyman40122
2Garrett PilonJared DavidsonTaylor Raddysh30122
3Justin RobidasJohn FarinacciCurtis Douglas20122
4Jani NymanGarrett PilonTaylor Raddysh10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesAdam Ginning40122
2Scott PerunovichNolan Allan30122
3Cameron CrottyRyker Evans20122
4Scott PerunovichCaleb Jones10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam GagnerCurtis DouglasJani Nyman60122
2Garrett PilonJohn FarinacciTaylor Raddysh40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cameron CrottyScott Perunovich60122
2Nolan AllanCaleb Jones40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jani NymanSam Gagner60122
2Taylor RaddyshGarrett Pilon40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanScott Perunovich60122
2Cameron CrottyCaleb Jones40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jani Nyman60122Scott PerunovichCaleb Jones60122
2Taylor Raddysh40122Cameron CrottyNolan Allan40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jani NymanSam Gagner60122
2Taylor RaddyshCurtis Douglas40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott PerunovichCameron Crotty60122
2Caleb JonesNolan Allan40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sam GagnerTaylor RaddyshJani NymanScott PerunovichCaleb Jones
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sam GagnerTaylor RaddyshJani NymanScott PerunovichCaleb Jones
Extra Forwards
Normal PowerPlayPenalty Kill
Curtis Douglas, Jani Nyman, Martin ChromiakCurtis Douglas, Jani NymanMartin Chromiak
Extra Defensemen
Normal PowerPlayPenalty Kill
Cameron Crotty, Scott Perunovich, Caleb JonesCameron CrottyCameron Crotty, Scott Perunovich
Penalty Shots
Jani Nyman, Garrett Pilon, Taylor Raddysh, Sam Gagner, John Farinacci
Goalie
#1 : Tristan Lennox, #2 : Jordan Papirny
Custom OT Lines Forwards
Jani Nyman, Gabriel Dumont, Taylor Raddysh, Jared Davidson, John Farinacci, Martin Chromiak, Martin Chromiak, Sam Gagner, Garrett Pilon, Justin Robidas, Curtis Douglas
Custom OT Lines Defensemen
Caleb Jones, Adam Ginning, Scott Perunovich, Nolan Allan, Cameron Crotty


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3028W21182153331048103728122569601
All Games
GPWLOTWOTL SOWSOLGFGA
3011151210118125
Home Games
GPWLOTWOTL SOWSOLGFGA
155801106066
Visitor Games
GPWLOTWOTL SOWSOLGFGA
156711005859
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1052826.67%913067.03%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
32236335984334392
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
599112353.34%53299353.58%29956353.11%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
765537655209385198


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 - 2025-10-0917Stars3Moose4LXBoxScore
5 - 2025-10-1134Stars4Eagles6LBoxScore
8 - 2025-10-1454Wild2Stars4WBoxScore
10 - 2025-10-1668Comets5Stars3LBoxScore
12 - 2025-10-1883Stars8Thunderbirds4WBoxScore
15 - 2025-10-21106Monsters5Stars0LBoxScore
17 - 2025-10-23120Reign4Stars5WBoxScore
19 - 2025-10-25138Wolves6Stars5LXBoxScore
20 - 2025-10-26145Stars2Admirals4LBoxScore
22 - 2025-10-28159Bears5Stars3LBoxScore
24 - 2025-10-30169Stars6Crunch3WBoxScore
26 - 2025-11-01185Stars7Checkers6WXBoxScore
29 - 2025-11-04207Condors5Stars3LBoxScore
31 - 2025-11-06224Gulls3Stars7WBoxScore
33 - 2025-11-08233Stars4Admirals0WBoxScore
34 - 2025-11-09248Firebirds3Stars4WXXBoxScore
36 - 2025-11-11258Stars2Senators4LBoxScore
38 - 2025-11-13270Stars2Rocket4LBoxScore
40 - 2025-11-15293Phantoms5Stars2LBoxScore
43 - 2025-11-18310Sound Tigers5Stars3LBoxScore
45 - 2025-11-20328Stars2Comets7LBoxScore
47 - 2025-11-22345Stars5Wranglers3WBoxScore
50 - 2025-11-25360Stars4Condors2WBoxScore
51 - 2025-11-26375Stars5Firebirds4WBoxScore
53 - 2025-11-28390Roadrunners3Stars1LBoxScore
55 - 2025-11-30405Senators6Stars4LBoxScore
57 - 2025-12-02414Stars2Wolf Pack5LBoxScore
58 - 2025-12-03421Stars2Devils3LBoxScore
60 - 2025-12-05438Barracuda5Stars7WBoxScore
62 - 2025-12-07456Penguins4Stars9WBoxScore
64 - 2025-12-09473Stars-Moose-
66 - 2025-12-11488Stars-Wild-
68 - 2025-12-13505Checkers-Stars-
70 - 2025-12-15518Reign-Stars-
73 - 2025-12-18543Stars-Barracuda-
74 - 2025-12-19548Stars-Gulls-
76 - 2025-12-21568Marlies-Stars-
78 - 2025-12-23576Stars-Griffins-
82 - 2025-12-27596IceHogs-Stars-
86 - 2025-12-31628Americans-Stars-
87 - 2026-01-01638Stars-IceHogs-
90 - 2026-01-04657Rocket-Stars-
92 - 2026-01-06670Stars-Wolves-
93 - 2026-01-07677Stars-Bears-
96 - 2026-01-10700Stars-Barracuda-
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-Comets-
148 - 2026-03-03965Stars-Wranglers-
151 - 2026-03-06984Eagles-Stars-
153 - 2026-03-081004IceHogs-Stars-
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 - 2026-03-241130Devils-Stars-
171 - 2026-03-261141Stars-Sound Tigers-
Trade Deadline --- Trades can’t be done after this day is simulated!
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 - 2026-04-071239Wranglers-Stars-
185 - 2026-04-091255Wild-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
Arena Capacity20001000
Ticket Price4535
Attendance17,7757,234
Attendance PCT59.25%48.23%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-5 1667 - 55.58% 87,755$1,316,331$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
975,919$ 2,486,000$ 2,486,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 810,998$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-438,777$ 130 15,552$ 2,021,760$




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
2024824517087233312656641255045201841335141201204203147132151203316059360312799951430351018981100059259077867319252707828.89%2575279.77%41599311051.41%1472279752.63%740139553.05%2059143918535911061539
202530111501210118125-71558001106066-61567011005859-1281182153330143343921048322363359810372812256961052826.67%913067.03%1599112353.34%53299353.58%29956353.11%765537655209385198
Total Regular Season11256320993344939059563013046302441994556261905303205191141484498201269041701331341640831340134413596736271059898262137510628.27%3488276.44%52198423351.93%2004379052.88%1039195853.06%2824197725098001447738
Playoff
2024158700000605918530000035332734000002526-116601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698
Total Playoff158700000605918530000035332734000002526-116601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698