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Thunder
GP: 82 | W: 12 | L: 61 | OTL: 9 | P: 33
GF: 234 | GA: 413 | PP%: 19.20% | PK%: 77.78%
GM : Jean-Francois Lemelin | Morale : 50 | Team Overall : 51
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Game Center
Thunder
12-61-9, 33pts
1
FINAL
7 Monsters
46-29-7, 99pts
Team Stats
L7StreakSOL1
4-34-3Home Record23-14-4
8-27-6Away Record23-15-3
0-8-2Last 10 Games5-4-1
2.85Goals Per Game3.90
5.04Goals Against Per Game3.60
19.20%Power Play Percentage22.82%
77.78%Penalty Kill Percentage79.21%
Thunder
12-61-9, 33pts
4
FINAL
7 Cougars
56-20-6, 118pts
Team Stats
L7StreakW1
4-34-3Home Record30-9-2
8-27-6Away Record26-11-4
0-8-2Last 10 Games8-1-1
2.85Goals Per Game4.00
5.04Goals Against Per Game3.10
19.20%Power Play Percentage20.94%
77.78%Penalty Kill Percentage82.63%
Team Leaders
Goals
Gabriel Fortier
9
Assists
Rasmus Sandin
31
Points
Rasmus Sandin
40
Plus/Minus
Gabriel Fortier
8
Wins
Louis Domingue
9
Save Percentage
Louis Domingue
0.913

Team Stats
Goals For
234
2.85 GFG
Shots For
3230
39.39 Avg
Power Play Percentage
19.2%
48 GF
Offensive Zone Start
36.6%
Goals Against
413
5.04 GAA
Shots Against
4535
55.30 Avg
Penalty Kill Percentage
77.8%
36 GA
Defensive Zone Start
45.2%
Team Info

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


Arena Info

Capacity3,000
Attendance2,883
Season Tickets300


Roster Info

Pro Team25
Farm Team21
Contract Limit46 / 50
Prospects20


Team History

This Season12-61-9 (33PTS)
History12-61-7 (0.150%)
Playoff Appearances
Playoff Record (W-L)-


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# 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 Average
1Adam Beckman (R)X100.00786999686958585950506365604444050580193925,000$
2Garrett WilsonXX100.00778071608061635450564566435758050560291575,000$
3Jack Drury (R)XXX100.00474086706266815658544846505050050540204925,000$
4Thomas Di PauliXX100.00686781646753535470485561534444050540261715,000$
5Ethan Keppen (R)X100.00807690637650514850474463424444050530194560,000$
6Devante Smith-PellyXX100.008279906379505246504344644244440505202811,200,000$
7Tanner FritzX100.00746985566945445366475461514444050520293825,000$
8Nikita NesterovX100.00764384706968725725494770254747050610272700,000$
9Brendan GuhleX100.00727370757361635525504264405858050600231800,000$
10Cal Foote (R)X100.00764577728460785725454860254747050600211925,000$
11Sean DurziX100.00787585646868655828554666404444050590214809,167$
12Brett LernoutX100.00828085648051525025433967375555050580252750,000$
13Dylan Samberg (R)X100.00838186608155584725394064384444050560213925,000$
14Jett Woo (R)X100.00767481587465704625334361414444050550204860,833$
15Ryan O'Rourke (R)X100.00716975606963684725384058384444050540183886,667$
Scratches
1Samuel HenleyXX100.00443591647434273235303465443532050430271690,000$
2Artur Kayumov (R)XX100.00394545455336363945393945423230050400221825,000$
3Dante Salituro (R)X100.00394545455136363945393945423230050400231725,000$
4Adam GilmourXX100.00314040406629293140313140353230050350261715,000$
5Tony CameranesiX100.00303737374527273037303037323230050330271600,000$
6Michael PrapavessisX100.00747096647046484125303861374444050520241650,000$
7Filip Johansson (R)X100.00494391646761863925294145435050050510204895,000$
TEAM AVERAGE100.0065617760695255473942435841444405052
Filter Tips
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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.
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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
Scratches
1Samuel Ersson (R)100.0050827468425242484246465454050520
2Jake Kielly (R)100.0047516478444650534647304444050510
3Samu Perhonen100.0036434068353333333333323230050380
TEAM AVERAGE100.004459597140444245404236434305047
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Brendan GuhleThunder (Tam)D82174966-407210277134194741428.76%164139717.04891769110000055210.00%000010.9400200221
2Adam BeckmanThunder (Tam)LW82422062-2959151712244651353909.03%62126715.461121936000091144.44%10800020.9815201146
3Thomas Di PauliThunder (Tam)C/LW82292453-1960551802788018610.43%4384010.2630347000001052.12%125100011.2604000120
4Ethan KeppenThunder (Tam)LW82192948-19355124119226781598.41%518189.9800001000001246.30%5400001.1701010204
5Rasmus SandinTampa BayD4593140-2543514310612244827.38%11898921.99661271131011274010.00%000000.8100001121
6Gabriel FortierTampa BayC/LW359202986031106140301096.43%1354115.46112625000010055.16%81400001.0713000112
7Cal FooteThunder (Tam)D416162254401123851104211.76%4994423.0324612880001103100.00%000000.4700000001
8Devante Smith-PellyThunder (Tam)LW/RW6911920-31005779102289010.78%1373810.7100002000001025.93%5400000.5400000022
9Tanner FritzThunder (Tam)C156410-34019102961920.69%425917.29112420000001051.61%6200000.7700000021
10Joel ArmiaTampa BayRW8448-220171838122210.53%414818.50112926000001014.29%700001.0811000002
11Nikita NesterovThunder (Tam)D11178-6801714399172.56%2023621.460442234000026100.00%000000.6800000010
12Markus GranlundTampa BayC/LW/RW11077100336409220.00%622220.220224230000180038.64%26400000.6300000000
13Curtis McKenzieTampa BayLW825718038176111333.28%117521.931231127000010087.50%800000.8001000100
14Sean DurziThunder (Tam)D111673602622185115.56%1120418.62112727000024000.00%000000.6800000001
15Brett LernoutThunder (Tam)D11235-2001610104520.00%1914112.860002200000000.00%000000.7100000000
16Michael PrapavessisThunder (Tam)D15044-52015492130.00%61177.850110100004000.00%000000.6800000000
17Dylan SambergThunder (Tam)D11134-211527762716.67%1714913.5800000000012000.00%000000.5400100000
18Jack DruryThunder (Tam)C/LW/RW1411200011013647.69%2876.2500000000010045.19%10400000.4600000000
19Jett WooThunder (Tam)D14202320283131315.38%2024217.3200012000034100.00%000000.1600000010
20Samuel HenleyThunder (Tam)C/LW15011-20025143140.00%419412.9900000000000033.33%1500000.1000000000
21Ryan O'RourkeThunder (Tam)D5000-100713120.00%55811.640000100006000.00%000000.0000000000
Team Total or Average667162243405-1373184011861143187155013728.66%632977514.66253358241571011337511550.42%274100040.8331551291721
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Louis DomingueTampa Bay5994260.9134.7032692025629290520.455115866643
Team Total or Average5994260.9134.7032692025629290520.455115866643


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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.
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Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam BeckmanThunder (Tam)LW192001-05-10Yes187 Lbs6 ft1NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Link
Adam GilmourThunder (Tam)C/RW261994-01-29No193 Lbs6 ft2NoNoNo1Pro & Farm715,000$71,500$0$NoLink
Artur KayumovThunder (Tam)LW/RW221998-02-14Yes176 Lbs5 ft11NoNoNo1Pro & Farm825,000$82,500$0$NoLink
Brendan GuhleThunder (Tam)D231997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm800,000$80,000$0$NoLink
Brett LernoutThunder (Tam)D251995-09-23No214 Lbs6 ft4NoNoNo2Pro & Farm750,000$75,000$0$No750,000$Link
Cal FooteThunder (Tam)D211998-12-12Yes227 Lbs6 ft4NoNoNo1Pro & Farm925,000$92,500$0$NoLink
Dante SalituroThunder (Tam)C231996-11-15Yes175 Lbs5 ft9NoNoNo1Pro & Farm725,000$72,500$0$NoLink
Devante Smith-PellyThunder (Tam)LW/RW281992-06-14No223 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$120,000$0$NoLink
Dylan SambergThunder (Tam)D211999-01-24Yes216 Lbs6 ft4NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Link
Ethan KeppenThunder (Tam)LW192001-03-20Yes209 Lbs6 ft2NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Link
Filip JohanssonThunder (Tam)D202000-03-23Yes181 Lbs6 ft1NoNoNo4Pro & Farm895,000$89,500$0$No895,000$895,000$895,000$Link
Garrett WilsonThunder (Tam)LW/RW291991-03-16No218 Lbs6 ft3NoNoNo1Pro & Farm575,000$57,500$0$NoLink
Jack DruryThunder (Tam)C/LW/RW202000-02-03Yes174 Lbs5 ft11NoNoNo4Pro & Farm925,000$92,500$0$No925,000$925,000$925,000$Link
Jake KiellyThunder (Tam)G241996-09-10Yes201 Lbs6 ft2NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Link
Jett WooThunder (Tam)D202000-07-27Yes205 Lbs6 ft0NoNoNo4Pro & Farm860,833$86,083$0$No860,833$860,833$860,833$Link
Michael PrapavessisThunder (Tam)D241996-01-07No185 Lbs6 ft2NoNoNo1Pro & Farm650,000$65,000$0$NoLink
Nikita NesterovThunder (Tam)D271993-03-28No191 Lbs5 ft11NoNoNo2Pro & Farm700,000$70,000$0$No700,000$Link
Ryan O'RourkeThunder (Tam)D182002-05-16Yes181 Lbs6 ft2NoNoNo3Pro & Farm886,667$88,667$0$No886,667$886,667$Link
Samu PerhonenThunder (Tam)G271993-03-07No184 Lbs6 ft5NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Link
Samuel ErssonThunder (Tam)G201999-10-20Yes176 Lbs6 ft2NoNoNo4Pro & Farm859,167$85,917$0$No859,167$859,167$859,167$Link
Samuel HenleyThunder (Tam)C/LW271993-07-25No210 Lbs6 ft4NoNoNo1Pro & Farm690,000$69,000$0$NoLink
Sean DurziThunder (Tam)D211998-10-21No185 Lbs6 ft0NoNoNo4Pro & Farm809,167$80,917$0$No809,167$809,167$809,167$Link
Tanner FritzThunder (Tam)C291991-08-20No192 Lbs5 ft11NoNoNo3Pro & Farm750,000$82,500$0$No560,000$560,000$Link
Thomas Di PauliThunder (Tam)C/LW261994-04-29No187 Lbs5 ft11NoNoNo1Pro & Farm715,000$71,500$0$NoLink
Tony CameranesiThunder (Tam)C271993-08-12No162 Lbs5 ft9NoNoNo1Pro & Farm600,000$60,000$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2523.44194 Lbs6 ft12.32786,633$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Adam Beckman30122
3Ethan KeppenThomas Di Pauli20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Brendan Guhle30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Adam Beckman40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Brendan Guhle40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Adam Beckman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Brendan Guhle40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Brendan Guhle40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Adam Beckman40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Brendan Guhle40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Thomas Di Pauli, Ethan Keppen, Thomas Di Pauli, Ethan Keppen
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , Adam Beckman,
Goalie
#1 : , #2 :


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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
1Admirals20200000711-41010000046-21010000035-200.000713201090915237610631085106240127302479222.22%110.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
2Baby Hawks20100100412-81010000018-71000010034-110.25046100090915236510631085106240131444426116.67%20100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
3Bears30300000918-91010000035-220200000613-700.000917260090915231121063108510624015735155411218.18%5180.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
4Bruins40300001817-920200000610-42010000127-510.12581220009091523127106310851062402096350861100.00%11281.82%01085284138.19%1269350336.23%532141237.68%158310812385611994444
5Cabaret Lady Mary Ann422000002020021100000910-1211000001110140.50020365600909152319710631085106240216683210222836.36%16568.75%01085284138.19%1269350336.23%532141237.68%158310812385611994444
6Caroline3110000113130110000007432010000169-330.5001323360090915231401063108510624013845145413646.15%7357.14%01085284138.19%1269350336.23%532141237.68%158310812385611994444
7Chiefs21000001752110000005231000000123-130.7507132000909152390106310851062401102983710110.00%30100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
8Chill20100001811-31000000145-11010000046-210.250814220090915237210631085106240802911619111.11%3166.67%01085284138.19%1269350336.23%532141237.68%158310812385611994444
9Comets20200000812-41010000045-11010000047-300.000815230090915239310631085106240952982510220.00%30100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
10Cougars413000001424-1020200000412-8211000001012-220.2501421350090915231531063108510624023769276310220.00%60100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
11Crunch412001001113-22010010046-22110000077030.3751120310090915232081063108510624019754181349222.22%8187.50%01085284138.19%1269350336.23%532141237.68%158310812385611994444
12Heat2010100058-3100010004311010000015-420.5005813009091523781063108510624010035440400.00%20100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
13Jayhawks20200000410-61010000025-31010000025-300.00048120090915239110631085106240119324388225.00%20100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
14Las Vegas21100000910-11010000026-41100000074320.5009162500909152310610631085106240143330397228.57%000.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
15Manchots30300000713-620200000712-51010000001-100.000713200090915239210631085106240157511562400.00%5180.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
16Marlies40400000821-1320200000210-820200000611-500.0008142200909152315010631085106240224633211512216.67%15286.67%01085284138.19%1269350336.23%532141237.68%158310812385611994444
17Minnesota2010000158-31010000002-21000000156-110.25058130090915236810631085106240117326423266.67%30100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
18Monarchs2110000069-31010000026-41100000043120.50061218009091523811063108510624010127451600.00%2150.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
19Monsters30300000621-151010000027-520200000414-1000.00061218009091523106106310851062401986512598112.50%6183.33%01085284138.19%1269350336.23%532141237.68%158310812385611994444
20Monsters2020000058-31010000024-21010000034-100.000581300909152354106310851062401093014508112.50%6183.33%01085284138.19%1269350336.23%532141237.68%158310812385611994444
21Oceanics20200000612-61010000045-11010000027-500.0006111700909152389106310851062401292815316116.67%50100.00%11085284138.19%1269350336.23%532141237.68%158310812385611994444
22Oil Kings20100001810-21010000034-11000000156-110.250816240090915238910631085106240111372475120.00%110.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
23Phantoms30300000621-1520200000315-121010000036-300.00061016009091523114106310851062401804210855120.00%5180.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
24Rocket41300000719-1220200000415-112110000034-120.25071118109091523150106310851062402015015861119.09%5180.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
25Senators413000001022-1220200000313-102110000079-220.250101828009091523147106310851062402436922709111.11%11372.73%01085284138.19%1269350336.23%532141237.68%158310812385611994444
26Sharks2020000029-71010000014-31010000015-400.000246009091523521063108510624011539837300.00%4175.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
27Sound Tigers30300000817-920200000712-51010000015-400.00081523009091523117106310851062401793816779222.22%8362.50%01085284138.19%1269350336.23%532141237.68%158310812385611994444
28Spiders30200100715-81000010056-12020000029-710.1677111800909152311710631085106240165396739111.11%30100.00%01085284138.19%1269350336.23%532141237.68%158310812385611994444
29Stars20200000512-71010000015-41010000047-300.000591400909152368106310851062401192414344125.00%7528.57%01085284138.19%1269350336.23%532141237.68%158310812385611994444
30Wolf Pack312000001112-120200000611-51100000051420.333112132009091523128106310851062401283714739222.22%7185.71%01085284138.19%1269350336.23%532141237.68%158310812385611994444
Total82116101306234413-1794133401201111218-1074182700105123195-72330.2012344156492090915233230106310851062404535126640218142504819.20%1623677.78%11085284138.19%1269350336.23%532141237.68%158310812385611994444
_Since Last GM Reset82116101306234413-1794133401201111218-1074182700105123195-72330.2012344156492090915233230106310851062404535126640218142504819.20%1623677.78%11085284138.19%1269350336.23%532141237.68%158310812385611994444
_Vs Conference4333700102109229-120220200010159127-68213170000150102-5290.10510919730610909152315801063108510624023926552329811201613.33%911979.12%11085284138.19%1269350336.23%532141237.68%158310812385611994444

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8233L7234415649323045351266402181420
All Games
GPWLOTWOTL SOWSOLGFGA
8211611306234413
Home Games
GPWLOTWOTL SOWSOLGFGA
413341201111218
Visitor Games
GPWLOTWOTL SOWSOLGFGA
418270105123195
Last 10 Games
WLOTWOTL SOWSOL
080101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2504819.20%1623677.78%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
106310851062409091523
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1085284138.19%1269350336.23%532141237.68%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
158310812385611994444


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2021-10-135Cabaret Lady Mary Ann5Thunder2LBoxScore
4 - 2021-10-1521Thunder4Cabaret Lady Mary Ann5LBoxScore
5 - 2021-10-1631Thunder2Caroline4LBoxScore
9 - 2021-10-2047Thunder1Marlies3LBoxScore
11 - 2021-10-2262Thunder4Senators1WBoxScore
14 - 2021-10-2586Thunder2Rocket1WBoxScore
16 - 2021-10-2798Thunder2Bruins3LXXBoxScore
18 - 2021-10-29117Monsters4Thunder2LBoxScore
22 - 2021-11-02144Manchots5Thunder4LBoxScore
25 - 2021-11-05164Chill5Thunder4LXXBoxScore
28 - 2021-11-08181Thunder5Wolf Pack1WBoxScore
29 - 2021-11-09188Thunder0Spiders4LBoxScore
31 - 2021-11-11197Thunder1Sound Tigers5LBoxScore
38 - 2021-11-18248Thunder3Crunch4LBoxScore
39 - 2021-11-19253Crunch3Thunder2LBoxScore
44 - 2021-11-24287Wolf Pack4Thunder3LBoxScore
46 - 2021-11-26302Oceanics5Thunder4LBoxScore
49 - 2021-11-29324Thunder2Chiefs3LXXBoxScore
51 - 2021-12-01341Thunder3Baby Hawks4LXBoxScore
53 - 2021-12-03355Admirals6Thunder4LBoxScore
55 - 2021-12-05365Crunch3Thunder2LXBoxScore
57 - 2021-12-07380Chiefs2Thunder5WBoxScore
59 - 2021-12-09398Thunder5Bears7LBoxScore
60 - 2021-12-10408Caroline4Thunder7WBoxScore
63 - 2021-12-13430Thunder4Chill6LBoxScore
65 - 2021-12-15440Minnesota2Thunder0LBoxScore
67 - 2021-12-17457Sharks4Thunder1LBoxScore
69 - 2021-12-19468Sound Tigers6Thunder3LBoxScore
70 - 2021-12-20473Thunder7Cabaret Lady Mary Ann5WBoxScore
72 - 2021-12-22488Bruins3Thunder2LBoxScore
74 - 2021-12-24509Bears5Thunder3LBoxScore
77 - 2021-12-27526Senators6Thunder2LBoxScore
79 - 2021-12-29539Stars5Thunder1LBoxScore
81 - 2021-12-31559Thunder1Bears6LBoxScore
83 - 2022-01-02572Cabaret Lady Mary Ann5Thunder7WBoxScore
88 - 2022-01-07595Rocket8Thunder2LBoxScore
89 - 2022-01-08607Cougars5Thunder2LBoxScore
91 - 2022-01-10617Thunder4Crunch3WBoxScore
93 - 2022-01-12629Thunder1Rocket3LBoxScore
95 - 2022-01-14648Thunder3Senators8LBoxScore
96 - 2022-01-15655Thunder4Caroline5LXXBoxScore
98 - 2022-01-17663Comets5Thunder4LBoxScore
100 - 2022-01-19680Jayhawks5Thunder2LBoxScore
102 - 2022-01-21695Thunder3Phantoms6LBoxScore
103 - 2022-01-22708Thunder2Spiders5LBoxScore
105 - 2022-01-24716Monarchs6Thunder2LBoxScore
107 - 2022-01-26736Thunder5Minnesota6LXXBoxScore
108 - 2022-01-27742Thunder2Oceanics7LBoxScore
118 - 2022-02-06771Thunder4Stars7LBoxScore
120 - 2022-02-08779Thunder4Monarchs3WBoxScore
122 - 2022-02-10791Thunder3Admirals5LBoxScore
123 - 2022-02-11805Thunder1Sharks5LBoxScore
126 - 2022-02-14814Las Vegas6Thunder2LBoxScore
128 - 2022-02-16829Manchots7Thunder3LBoxScore
130 - 2022-02-18847Sound Tigers6Thunder4LBoxScore
132 - 2022-02-20863Thunder3Monsters7LBoxScore
133 - 2022-02-21870Thunder0Manchots1LBoxScore
135 - 2022-02-23882Oil Kings4Thunder3LBoxScore
137 - 2022-02-25897Phantoms8Thunder1LBoxScore
139 - 2022-02-27919Thunder3Monsters4LBoxScore
142 - 2022-03-02939Thunder7Las Vegas4WBoxScore
144 - 2022-03-04954Thunder2Jayhawks5LBoxScore
147 - 2022-03-07970Marlies3Thunder0LBoxScore
149 - 2022-03-09986Baby Hawks8Thunder1LBoxScore
151 - 2022-03-111001Heat3Thunder4WXBoxScore
154 - 2022-03-141019Bruins7Thunder4LBoxScore
156 - 2022-03-161034Rocket7Thunder2LBoxScore
158 - 2022-03-181054Thunder0Bruins4LBoxScore
159 - 2022-03-191060Thunder6Cougars5WBoxScore
161 - 2022-03-211070Thunder5Marlies8LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
163 - 2022-03-231085Phantoms7Thunder2LBoxScore
165 - 2022-03-251100Cougars7Thunder2LBoxScore
166 - 2022-03-261114Spiders6Thunder5LXBoxScore
169 - 2022-03-291134Thunder4Comets7LBoxScore
171 - 2022-03-311150Thunder5Oil Kings6LXXBoxScore
172 - 2022-04-011162Thunder1Heat5LBoxScore
176 - 2022-04-051185Marlies7Thunder2LBoxScore
178 - 2022-04-071199Monsters7Thunder2LBoxScore
179 - 2022-04-081211Wolf Pack7Thunder3LBoxScore
182 - 2022-04-111228Senators7Thunder1LBoxScore
184 - 2022-04-131249Thunder1Monsters7LBoxScore
186 - 2022-04-151264Thunder4Cougars7LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance78,82139,377
Attendance PCT96.12%96.04%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2883 - 96.10% 81,692$3,349,390$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,347,784$ 1,966,584$ 1,974,084$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,557$ 2,353,124$ 25 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 10,516$ 0$




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