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

Thunder
GP: 4 | W: 1 | L: 3 | OTL: 0 | P: 2
GF: 14 | GA: 25 | PP%: 25.00% | PK%: 64.71%
GM : Jean-Francois Lemelin | Morale : 50 | Team Overall : 60
Next Games #72 vs Cougars

Game Center
Thunder
1-3-0, 2pts
4
FINAL
5 Bruins
2-2-0, 4pts
Team Stats
L3StreakW1
1-1-0Home Record1-2-0
0-2-0Home Record1-0-0
1-3-0Last 10 Games2-2-0
3.50Goals Per Game4.50
6.25Goals Against Per Game5.50
25.00%Power Play Percentage33.33%
64.71%Penalty Kill Percentage61.54%
Thunder
1-3-0, 2pts
3
FINAL
10 Bears
3-1-0, 6pts
Team Stats
L3StreakW3
1-1-0Home Record1-1-0
0-2-0Home Record2-0-0
1-3-0Last 10 Games3-1-0
3.50Goals Per Game6.00
6.25Goals Against Per Game3.75
25.00%Power Play Percentage38.46%
64.71%Penalty Kill Percentage64.29%
Thunder
1-3-0, 2pts
2025-10-17
Cougars
0-2-1, 1pts
Team Stats
L3StreakL1
1-1-0Home Record0-1-1
0-2-0Away Record0-1-0
1-3-0Last 10 Games0-2-1
3.50Goals Per Game6.00
6.25Goals Against Per Game6.00
25.00%Power Play Percentage54.55%
64.71%Penalty Kill Percentage100.00%
Thunder
1-3-0, 2pts
2025-10-18
Monsters
3-0-0, 6pts
Team Stats
L3StreakW3
1-1-0Home Record1-0-0
0-2-0Away Record2-0-0
1-3-0Last 10 Games3-0-0
3.50Goals Per Game7.00
6.25Goals Against Per Game7.00
25.00%Power Play Percentage33.33%
64.71%Penalty Kill Percentage100.00%
Baby Hawks
4-0-0, 8pts
2025-10-23
Thunder
1-3-0, 2pts
Team Stats
W4StreakL3
2-0-0Home Record1-1-0
2-0-0Away Record0-2-0
4-0-0Last 10 Games1-3-0
6.25Goals Per Game3.50
3.00Goals Against Per Game3.50
25.00%Power Play Percentage25.00%
88.89%Penalty Kill Percentage64.71%
Team Leaders

Team Stats
Goals For
14
3.50 GFG
Shots For
91
22.75 Avg
Power Play Percentage
25.0%
2 GF
Offensive Zone Start
36.3%
Goals Against
25
6.25 GAA
Shots Against
88
22.00 Avg
Penalty Kill Percentage
64.7%%
6 GA
Defensive Zone Start
25.4%
Team Info

General ManagerJean-Francois Lemelin
DivisionEst
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,793
Season Tickets300


Roster Info

Pro Team26
Farm Team19
Contract Limit45 / 50
Prospects26


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
1John Beecher (R)XX100.00784381738681746977666473695650050690231925,000$
2Zach L'Heureux (R)X100.00777057737475686942676469685250050660212863,333$
3Adam Edstrom (R)XX100.00734973668672686641606264655550050640232846,667$
4Zack Ostapchuk (R)X100.00765867698072706566616166655550050640212825,000$
5Matthew Savoie (R)X100.00624166675861606243625964635050050600203886,667$
6Adam Beckman (R)XX100.00584271646465636444616053635250050590231800,000$
7Chase Wheatcroft (R)X100.00604270656364626042605558605150050590222862,500$
8Alexis Gendron (R)X100.00604366656360586142545853615050050570202860,000$
9Jayden Grubbe (R)X100.00604465616663626056565354585050050570212867,500$
10Justin Ertel (R)X100.00614167626260585740555459575050050570213867,500$
11Chase Stillman (R)X100.00574662626463616042555452595050050560212863,333$
12Atley Calvert (R)X100.0060416761625957585154555558505005056N0213620,000$
13Zac Funk (R)X100.00604166616258565740545455575050050560213905,000$
14Antti Tuomisto (R)X100.00654466656965636340615567615250050620231825,000$
15Ryan O'Rourke (R)X100.00594566656565636140555358605150050590221800,000$
16Artem Grushnikov (R)X100.00624269636663625940525362595050050590212814,167$
17Ole Julian Bjørgvik-Holm (R)X100.00614361626462615840545561585150050580221845,333$
Scratches
1Max Sasson (R)X100.00634177737174646660636266675250050640242870,000$
2Alex Steeves (R)X100.00614467706466656846646560675350050630241834,167$
3Parker Ford (R)X100.00564465666164616243565753625250050580241620,000$
4Brendan SmithX100.007169647379848771406764746989790507203511,100,000$
5Max Crozier (R)X100.00634761696465636340615868635350050620241560,000$
TEAM AVERAGE100.0064466766686664634659586162535105061
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
1Thomas Milic (R)100.0068606161646466636664595050050580212841,667$
2Juho Markkanen (R)100.0053545355535354525252525551050500222620,000$
Scratches
1Georgi Romanov (R)100.0069636367666667656666575250050600242910,000$
2Jacob Ingham (R)100.00635656676259595661605152500505502421,000,000$
TEAM AVERAGE100.006358586361616259616155525005056
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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
Adam BeckmanThunder (Tam)LW/RW232001-05-10CANYes194 Lbs6 ft2NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Adam EdstromThunder (Tam)C/RW232000-10-12SWEYes241 Lbs6 ft7NoNoDraftNoNo22024-06-25FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------Link
Alex SteevesThunder (Tam)C241999-12-10USAYes196 Lbs6 ft0NoNoTrade2025-07-18NoYes1FalseFalsePro & Farm834,167$0$0$No---------------------------Link
Alexis GendronThunder (Tam)RW202003-12-30CANYes187 Lbs5 ft10NoNoTrade2025-07-18NoNo22024-06-25FalseFalsePro & Farm860,000$0$0$No860,000$--------860,000$--------No--------Link
Antti TuomistoThunder (Tam)D232001-01-20FINYes205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Link
Artem GrushnikovThunder (Tam)D212003-03-20RUSYes201 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm814,167$0$0$No814,167$--------814,167$--------No--------Link
Atley Calvert (1 Way Contract)Thunder (Tam)C212003-09-17CANYes194 Lbs6 ft0YesNoFree AgentNoNo32025-09-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Brendan Smith (1 Way Contract)Thunder (Tam)D351989-02-08CANNo200 Lbs6 ft2NoNoFree Agent2024-03-06YesYes12024-09-28FalseFalsePro & Farm1,100,000$180,000$172,539$No---------------------------Link
Chase StillmanThunder (Tam)RW212003-03-29CANYes185 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Link
Chase WheatcroftThunder (Tam)C222002-05-28CANYes185 Lbs6 ft2NoNoTrade2025-07-18NoNo22024-06-25FalseFalsePro & Farm862,500$0$0$No862,500$--------862,500$--------No--------Link
Georgi RomanovThunder (Tam)G241999-12-15RUSYes196 Lbs6 ft5NoNoDraftNoYes22024-06-25FalseFalsePro & Farm910,000$0$0$No910,000$--------910,000$--------No--------Link
Jacob InghamThunder (Tam)G242000-06-10CANYes205 Lbs6 ft5NoNoTrade2025-08-26NoYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Jayden GrubbeThunder (Tam)C212003-01-12CANYes201 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Link
John BeecherThunder (Tam)C/RW232001-04-05USAYes220 Lbs6 ft3NoNoTrade2024-01-25NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Juho MarkkanenThunder (Tam)G222002-04-06FINYes146 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Link
Justin ErtelThunder (Tam)LW212003-05-27CANYes187 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Link
Matthew SavoieThunder (Tam)C202004-01-01CANYes176 Lbs5 ft10NoNoProspectNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Link
Max CrozierThunder (Tam)D242000-04-19CANYes185 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm560,000$0$0$No---------------------------Link
Max SassonThunder (Tam)C242000-09-05USAYes181 Lbs6 ft1NoNoTrade2024-12-07NoYes22024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Link
Ole Julian Bjørgvik-HolmThunder (Tam)D222002-05-23NORYes198 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm845,333$0$0$No---------------------------Link
Parker Ford (1 Way Contract)Thunder (Tam)C242000-07-20USAYes185 Lbs5 ft10NoNoTrade2024-10-17NoYes1FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Ryan O'RourkeThunder (Tam)D222002-05-16CANYes192 Lbs6 ft1NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Thomas MilicThunder (Tam)G212003-04-14CANYes179 Lbs6 ft0NoNoDraftNoNo22024-06-25FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Link
Zac FunkThunder (Tam)RW212003-07-20CANYes194 Lbs6 ft0NoNoTrade2025-07-18NoNo32025-07-10FalseFalsePro & Farm905,000$0$0$No905,000$905,000$-------905,000$905,000$-------NoNo-------Link
Zach L'HeureuxThunder (Tam)LW212003-05-15CANYes197 Lbs5 ft11NoNoProspectNoNo22024-07-08FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Link
Zack OstapchukThunder (Tam)C212003-05-29CANYes212 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2622.62194 Lbs6 ft21.81832,032$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
1Bears10100000310-70000000000010100000310-700.0003690015802022343502841114100.00%3233.33%0267335.62%195137.25%277735.06%1047467346728
2Bruins1010000045-1000000000001010000045-100.00047110015802522343501994123133.33%3166.67%0267335.62%195137.25%277735.06%1047467346728
3Senators11000000312110000003120000000000021.00036900158022223435083810300.00%4175.00%0267335.62%195137.25%277735.06%1047467346728
4Spiders1010000049-51010000049-50000000000000.0004812001580242234350338141711100.00%7271.43%0267335.62%195137.25%277735.06%1047467346728
Total413000001425-1121100000710-320200000715-820.250142741001580912234350882437538225.00%17664.71%0267335.62%195137.25%277735.06%1047467346728
_Since Last GM Reset413000001425-1121100000710-320200000715-820.250142741001580912234350882437538225.00%17664.71%0267335.62%195137.25%277735.06%1047467346728
_Vs Conference413000001425-1121100000710-320200000715-820.250142741001580912234350882437538225.00%17664.71%0267335.62%195137.25%277735.06%1047467346728

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
42L3142741918824375300
All Games
GPWLOTWOTL SOWSOLGFGA
41300001425
Home Games
GPWLOTWOTL SOWSOLGFGA
2110000710
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2020000715
Last 10 Games
WLOTWOTL SOWSOL
130000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
8225.00%17664.71%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22343501580
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
267335.62%195137.25%277735.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1047467346728


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 - 2025-10-0911Senators1Thunder3WBoxScore
5 - 2025-10-1126Spiders9Thunder4LBoxScore
7 - 2025-10-1340Thunder4Bruins5LBoxScore
8 - 2025-10-1452Thunder3Bears10LBoxScore
11 - 2025-10-1772Thunder-Cougars-
12 - 2025-10-1882Thunder-Monsters-
17 - 2025-10-23113Baby Hawks-Thunder-
19 - 2025-10-25129Admirals-Thunder-
20 - 2025-10-26141Las Vegas-Thunder-
22 - 2025-10-28156Thunder-Jayhawks-
24 - 2025-10-30169Stars-Thunder-
27 - 2025-11-02194Thunder-Roadrunners-
29 - 2025-11-04209Thunder-Monsters-
31 - 2025-11-06225Thunder-Las Vegas-
33 - 2025-11-08236Bears-Thunder-
37 - 2025-11-12265Wolf Pack-Thunder-
40 - 2025-11-15283Thunder-Cabaret Lady Mary Ann-
41 - 2025-11-16297Comets-Thunder-
43 - 2025-11-18309Spiders-Thunder-
45 - 2025-11-20322Oil Kings-Thunder-
47 - 2025-11-22341Thunder-Bears-
49 - 2025-11-24353Phantoms-Thunder-
51 - 2025-11-26362Heat-Thunder-
53 - 2025-11-28377Thunder-Cougars-
54 - 2025-11-29391Thunder-Wolf Pack-
57 - 2025-12-02414Thunder-Sound Tigers-
59 - 2025-12-04428Manchots-Thunder-
61 - 2025-12-06446Sound Tigers-Thunder-
63 - 2025-12-08461Thunder-Marlies-
64 - 2025-12-09466Thunder-Rocket-
66 - 2025-12-11481Thunder-Spiders-
68 - 2025-12-13498Thunder-Sound Tigers-
70 - 2025-12-15514Cabaret Lady Mary Ann-Thunder-
73 - 2025-12-18538Monarchs-Thunder-
75 - 2025-12-20557Caroline-Thunder-
77 - 2025-12-22571Chiefs-Thunder-
82 - 2025-12-27591Thunder-Cabaret Lady Mary Ann-
83 - 2025-12-28602Rocket-Thunder-
86 - 2025-12-31624Thunder-Admirals-
87 - 2026-01-01639Thunder-Monarchs-
89 - 2026-01-03649Thunder-Sags-
92 - 2026-01-06668Monsters-Thunder-
96 - 2026-01-10705Thunder-Phantoms-
98 - 2026-01-12719Thunder-Phantoms-
99 - 2026-01-13726Thunder-Manchots-
102 - 2026-01-16751Thunder-Chiefs-
104 - 2026-01-18767Thunder-Stars-
106 - 2026-01-20781Sags-Thunder-
109 - 2026-01-23803Thunder-Baby Hawks-
110 - 2026-01-24814Thunder-Monsters-
112 - 2026-01-26825Roadrunners-Thunder-
115 - 2026-01-29847Oceanics-Thunder-
118 - 2026-02-01873Bruins-Thunder-
120 - 2026-02-03886Crunch-Thunder-
122 - 2026-02-05904Cabaret Lady Mary Ann-Thunder-
142 - 2026-02-25912Marlies-Thunder-
143 - 2026-02-26923Thunder-Caroline-
145 - 2026-02-28941Crunch-Thunder-
148 - 2026-03-03967Thunder-Minnesota-
150 - 2026-03-05980Thunder-Oceanics-
152 - 2026-03-07994Thunder-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
153 - 2026-03-081003Thunder-Crunch-
155 - 2026-03-101015Monsters-Thunder-
157 - 2026-03-121030Cougars-Thunder-
159 - 2026-03-141049Caroline-Thunder-
162 - 2026-03-171076Thunder-Firebirds-
164 - 2026-03-191090Thunder-Comets-
166 - 2026-03-211109Thunder-Oil Kings-
167 - 2026-03-221116Thunder-Heat-
169 - 2026-03-241127Minnesota-Thunder-
171 - 2026-03-261139Firebirds-Thunder-
173 - 2026-03-281152Senators-Thunder-
174 - 2026-03-291168Jayhawks-Thunder-
176 - 2026-03-311180Rocket-Thunder-
178 - 2026-04-021192Manchots-Thunder-
180 - 2026-04-041210Bruins-Thunder-
182 - 2026-04-061229Thunder-Crunch-
183 - 2026-04-071234Thunder-Senators-
185 - 2026-04-091248Thunder-Rocket-
187 - 2026-04-111261Thunder-Bruins-
189 - 2026-04-131282Cougars-Thunder-
191 - 2026-04-151302Wolf Pack-Thunder-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance3,7151,871
Attendance PCT92.88%93.55%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
2 2793 - 93.10% 94,854$189,708$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
79,968$ 1,929,284$ 1,929,284$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,996$ 79,968$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,699,306$ 185 9,996$ 1,849,260$




Thunder 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

Thunder Goalies Stat Leaders (Regular Season)

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

Thunder 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

Thunder 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

Thunder Goalies Stat Leaders (Play-Off)

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