´╗┐

Thunderbirds
GP: 20 | W: 17 | L: 3 | OTL: 0 | P: 34
GF: 91 | GA: 48 | PP%: 36.11% | PK%: 84.91%
GM : Justin Levergneux | Morale : 50 | Team Overall : 67
Next Games #330 vs Wild
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Admirals
3-16-1, 7pts
2
FINAL
6 Thunderbirds
17-3-0, 34pts
Team Stats
L4StreakW10
3-7-1Home Record7-2-0
0-9-0Away Record10-1-0
1-8-1Last 10 Games10-0-0
2.554.55
5.402.40
19.05%36.11%
60.00%84.91%
Thunderbirds
17-3-0, 34pts
4
FINAL
3 IceHogs
8-9-2, 18pts
Team Stats
W10StreakOTL1
7-2-0Home Record5-1-2
10-1-0Away Record3-8-0
10-0-0Last 10 Games4-4-2
4.552.84
2.403.58
36.11%23.08%
84.91%58.33%
Thunderbirds
17-3-0, 34pts
2023-11-28
Wild
17-2-0, 34pts
Team Stats
W10StreakW7
7-2-09-0-0
10-1-08-2-0
10-0-0Last 10 Games9-1-0
4.556.05
2.402.89
36.11%44.83%
84.91%85.71%
Americans
14-5-3, 31pts
2023-11-30
Thunderbirds
17-3-0, 34pts
Team Stats
W1StreakW10
7-2-17-2-0
7-3-210-1-0
4-4-2Last 10 Games10-0-0
4.094.55
3.272.40
21.62%36.11%
79.59%84.91%
Thunderbirds
17-3-0, 34pts
2023-12-02
Roadrunners
7-10-3, 17pts
Team Stats
W10StreakOTL1
7-2-05-2-1
10-1-02-8-2
10-0-0Last 10 Games3-5-2
4.554.05
2.404.25
36.11%24.32%
84.91%78.95%
Marcus BjorkGoals
Marcus Bjork
17
Gemel SmithAssists
Gemel Smith
20
Marcus BjorkPoints
Marcus Bjork
31
Marcus BjorkPlus/Minus
Marcus Bjork
23
Scott WedgewoodWins
Scott Wedgewood
17
Scott WedgewoodSave Percentage
Scott Wedgewood
0.934

Team Stats

91
4.55 GFG
Shots For
765
38.25 Avg

36.1%
13 GF

35.4%
Goals Against
48
2.40 GAA
Shots Against
732
36.60 Avg

84.9%
8 GA

38.8%


General ManagerJustin Levergneux
Central Division
Western Conference
Zach Bogosian
Parker Kelly
Sam Carrick




Arena Capacity5,000
Attendance5,000
5,000




22
21
43 / 55
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 Average
1Parker Kelly (R) (A)0XX100.00905491748346665745667075636363050770243869,500$
2Gemel Smith0X100.00703857697058456365736775652540050750292855,000$
3Michael Pezzetta0X100.00985886768238765741687068646464050750255836,875$
4Sam Carrick (A)0XX100.00805685768247625760677061636363050740311850,000$
5Jake Lucchini0X100.00765099668151555745657155646464050720281775,000$
6Max McCormick0X100.00555379595858624936636657572540050640311762,500$
7Angus Crookshank (R)0X100.00526683555483974436596541542540050630231838,333$
8Scott Sabourin0X100.00625069565658544336606546542540050610301775,000$
9Curtis Douglas (R)0X100.00576476535379913965576438512540050600232925,000$
10Pontus Andreasson (R)0X100.00526283535374864065576436522540050590241750,000$
11Bokondji Imama0X100.00585774525363733836576337512540050580261775,000$
12Curtis Hall (R)0X100.00515684515261713665566335502540050560232925,000$
13Marcus Bjork (R)0X100.00715588718067556940716955696969050770251925,000$
14Zach Bogosian (C)0X100.00785492698056556240676865656565050760321850,000$
15Jack Rathbone0X100.00695197727953556240676955666666050730245867,000$
16Brady Lyle (R)0X100.00536282535474864036596439522540050600241925,000$
17Keaton Middleton0X100.00585575535358663936596343512540050590251775,000$
18Mason Geertsen0XX100.00586175515272833636566335502540050580281775,000$
Scratches
1Kirill Tyutyayev (R)0X100.00514584515358453736566336502540050560221750,000$
2Wyatt Newpower (R)0X100.00545880515265753736566336502540050570251925,000$
TEAM AVERAGE100.0065558261646168484562664957394905066
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 Average
1Scott Wedgewood100.00866553758075788087728432600508103021,000,000$
2Magnus Hellberg (R)100.0080655373797875798872842752050800321750,000$
Scratches
TEAM AVERAGE100.008365537480777780887284305605081
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
1Marcus BjorkThunderbirds (STL)D201714312360262673373023.29%2049324.69437731101145220.00%04119011.2600000412
2Gemel SmithThunderbirds (STL)C209202916200403861183314.75%1136718.383258300111373018.383652927001.5801000121
3Michael PezzettaThunderbirds (STL)LW201215271720472456284221.43%2429514.772466303035422014.77115221001.8311000423
4Parker KellyThunderbirds (STL)C/LW201115261600253262213017.74%1737218.611453300115432018.61202417011.4001000031
5Sam CarrickThunderbirds (STL)C/RW2010152518155281059174216.95%736418.251457300220381018.2559579001.3702001201
6Jake LucchiniThunderbirds (STL)C201112231400232459233918.64%1327213.641566290001142113.642183211001.6911000141
7Zach BogosianThunderbirds (STL)D2041822224042337634385.26%4848724.38011231011045100.00%01944000.9000000001
8Jack RathboneThunderbirds (STL)D2041014102020398140404.94%3841620.84101128000040000.00%03924000.6700000100
9Max McCormickThunderbirds (STL)LW20461042017286032456.67%823311.6600001000000111.66102611000.8600000000
10Angus CrookshankThunderbirds (STL)LW202571502020194917274.08%730115.0500000000001015.05121513000.4700202000
11Bokondji ImamaThunderbirds (STL)LW2014524026618695.56%322811.4300000000001011.431039000.4400000010
12Scott SabourinThunderbirds (STL)RW20235-18046254012415.00%1434017.05000129000001017.05132114000.2900000011
13Curtis DouglasThunderbirds (STL)C20055324201616317110.00%322311.1800000000000011.1813172000.4500013000
14Pontus AndreassonThunderbirds (STL)C201230001213179115.88%230915.4600000000000015.4622276000.1900000001
15Brady LyleThunderbirds (STL)D20123101001212108710.00%841820.94000028000038000.00%0110000.1400000000
16Keaton MiddletonThunderbirds (STL)D201124801714910811.11%1230715.380000000008000.00%0414000.1300000001
17Mason GeertsenThunderbirds (STL)LW/D20022433152642330.00%1028914.470000000000000.00%024000.1400201000
18Curtis HallThunderbirds (STL)C8000520421000.00%29011.2900000000000011.29302000.00%00000000
Team Total or Average348901492391681906044736576432245611.78%247581316.71132336413014591335616449.91%1074379257020.8226417131413
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
1Scott WedgewoodThunderbirds (STL)2017300.9342.3812090248732429300.8005200422
Team Total or Average2017300.9342.3812090248732429300.8005200422


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 Clause Trade Block Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Angus CrookshankThunderbirds (STL)LW231999-10-02Yes181 Lbs5 ft11NoNoNo1Pro & Farm838,333$624,383$838,333$624,383$0$0$NoLink / NHL Link
Bokondji ImamaThunderbirds (STL)LW261996-08-03No221 Lbs6 ft1NoNoNo1Pro & Farm775,000$577,214$775,000$577,214$0$0$NoLink / NHL Link
Brady LyleThunderbirds (STL)D241999-06-06Yes211 Lbs6 ft3NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
Curtis DouglasThunderbirds (STL)C232000-03-06Yes235 Lbs6 ft9NoNoNo2Pro & Farm925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Curtis HallThunderbirds (STL)C232000-04-26Yes209 Lbs6 ft3NoNoNo2Farm Only925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Gemel SmithThunderbirds (STL)C291994-04-16No210 Lbs6 ft0NoNoNo2Pro & Farm855,000$636,797$855,000$636,797$0$0$No855,000$Link / NHL Link
Jack RathboneThunderbirds (STL)D241999-05-20No177 Lbs5 ft10NoNoNo5Pro & Farm867,000$645,734$867,000$645,734$0$0$No867,000$867,000$867,000$867,000$Link / NHL Link
Jake LucchiniThunderbirds (STL)C281995-05-09No180 Lbs6 ft0NoNoNo1Pro & Farm775,000$577,214$775,000$577,214$0$0$NoLink / NHL Link
Keaton MiddletonThunderbirds (STL)D251998-02-10No240 Lbs6 ft6NoNoNo1Pro & Farm775,000$577,214$775,000$577,214$0$0$NoLink / NHL Link
Kirill TyutyayevThunderbirds (STL)LW222000-08-08Yes170 Lbs5 ft10NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Magnus HellbergThunderbirds (STL)G321991-04-04Yes220 Lbs6 ft6NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoNHL Link
Marcus BjorkThunderbirds (STL)D251997-11-24Yes211 Lbs6 ft4NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoNHL Link
Mason GeertsenThunderbirds (STL)LW/D281995-04-19No221 Lbs6 ft4NoNoNo1Pro & Farm775,000$577,214$775,000$577,214$0$0$NoLink / NHL Link
Max McCormickThunderbirds (STL)LW311992-05-01No188 Lbs5 ft11NoNoNo1Pro & Farm762,500$567,904$762,500$567,904$0$0$NoLink / NHL Link
Michael PezzettaThunderbirds (STL)LW251998-03-13No210 Lbs6 ft1NoNoNo5Pro & Farm836,875$623,298$836,875$623,298$0$0$No836,875$836,875$836,875$836,875$Link / NHL Link
Parker KellyThunderbirds (STL)C/LW241999-05-14Yes190 Lbs6 ft0NoNoNo3Pro & Farm869,500$647,596$869,500$647,596$0$0$No869,500$869,500$Link / NHL Link
Pontus AndreassonThunderbirds (STL)C241998-08-24Yes183 Lbs5 ft11NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Sam CarrickThunderbirds (STL)C/RW311992-02-04No189 Lbs6 ft0NoNoNo1Pro & Farm850,000$633,073$850,000$633,073$0$0$NoLink / NHL Link
Scott SabourinThunderbirds (STL)RW301992-07-30No207 Lbs6 ft4NoNoNo1Pro & Farm775,000$577,214$775,000$577,214$0$0$NoLink / NHL Link
Scott WedgewoodThunderbirds (STL)G301992-08-14No207 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$744,792$1,000,000$744,792$0$0$No1,000,000$Link / NHL Link
Wyatt NewpowerThunderbirds (STL)D251997-12-09Yes207 Lbs6 ft3NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
Zach BogosianThunderbirds (STL)D321990-07-15No222 Lbs6 ft2NoNoNo1Pro & Farm850,000$633,073$850,000$633,073$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2226.55204 Lbs6 ft21.64839,964$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Parker KellyGemel SmithSam Carrick30122
2Angus CrookshankPontus AndreassonScott Sabourin30122
3Michael PezzettaJake LucchiniCurtis Hall20122
4Max McCormickCurtis DouglasBokondji Imama20122
5 vs 5 Defence
Line #DefenceDefenceTime %PHYDFOF
1Marcus BjorkZach Bogosian30122
2Jack RathboneBrady Lyle30122
3Keaton MiddletonMason Geertsen20320
4Marcus BjorkZach Bogosian20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Parker KellyGemel SmithSam Carrick50122
2Michael PezzettaJake LucchiniScott Sabourin50122
Power Play Defence
Line #DefenceDefenceTime %PHYDFOF
1Marcus BjorkZach Bogosian50122
2Jack RathboneBrady Lyle50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Gemel SmithParker Kelly50122
2Sam CarrickMichael Pezzetta50122
Penalty Kill 4 Players Defence
Line #DefenceDefenceTime %PHYDFOF
1Marcus BjorkZach Bogosian50122
2Jack RathboneBrady Lyle50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenceDefenceTime %PHYDFOF
1Gemel Smith50122Marcus BjorkZach Bogosian50122
2Sam Carrick50122Jack RathboneBrady Lyle50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gemel SmithParker Kelly50122
2Sam CarrickMichael Pezzetta50122
4 vs 4 Defence
Line #DefenceDefenceTime %PHYDFOF
1Marcus BjorkZach Bogosian50122
2Jack RathboneBrady Lyle50122
Last Minute Offensive
Left WingCenterRight WingDefenceDefence
Parker KellyGemel SmithSam CarrickMarcus BjorkZach Bogosian
Last Minute Defensive
Left WingCenterRight WingDefenceDefence
Parker KellyGemel SmithSam CarrickMarcus BjorkZach Bogosian
Extra Forwards
Normal PowerPlayPenalty Kill
Jake Lucchini, Max McCormick, Angus CrookshankJake Lucchini, Max McCormickJake Lucchini
Extra Defencemen
Normal PowerPlayPenalty Kill
Brady Lyle, Keaton Middleton, Mason GeertsenBrady LyleBrady Lyle, Keaton Middleton
Penalty Shots
Parker Kelly, Michael Pezzetta, Gemel Smith, Sam Carrick, Jake Lucchini
Goalie
#1 : Magnus Hellberg, #2 : Scott Wedgewood
Custom OT Lines Forwards
Parker Kelly, Michael Pezzetta, Gemel Smith, Sam Carrick, Jake Lucchini, Max McCormick, Max McCormick, Angus Crookshank, Scott Sabourin, Curtis Douglas, Curtis Hall
Custom OT Lines Defencemen
Marcus Bjork, Zach Bogosian, Jack Rathbone, Brady Lyle, Keaton Middleton


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
1Admirals11000000624110000006240000000000021.000610160030322733528025222612311617282150.00%10100.00%019637951.72%19841647.60%14427751.99%458298438160312154
2Barracuda11000000422000000000001100000042221.0004812003032273342802522261246190193266.67%000.00%019637951.72%19841647.60%14427751.99%458298438160312154
3Canucks10000010431000000000001000001043121.0004590030322733628025222612501510183133.33%5180.00%119637951.72%19841647.60%14427751.99%458298438160312154
4Comets11000000633110000006330000000000021.000610160030322732728025222612348417200.00%2150.00%019637951.72%19841647.60%14427751.99%458298438160312154
5Crunch11000000211110000002110000000000021.000246003032273342802522261237171627000.00%30100.00%019637951.72%19841647.60%14427751.99%458298438160312154
6Eagles21100000660000000000002110000066020.50061016003032273762802522261280242142300.00%8187.50%019637951.72%19841647.60%14427751.99%458298438160312154
7Firebirds11000000633110000006330000000000021.00061016003032273402802522261228159233133.33%20100.00%119637951.72%19841647.60%14427751.99%458298438160312154
8Gulls11000000431000000000001100000043121.0004812003032273352802522261240171120100.00%3166.67%019637951.72%19841647.60%14427751.99%458298438160312154
9IceHogs10001000431000000000001000100043121.0004610003032273462802522261235822511100.00%20100.00%019637951.72%19841647.60%14427751.99%458298438160312154
10Moose22000000945110000006241100000032141.00091524003032273752802522261273139364250.00%2150.00%019637951.72%19841647.60%14427751.99%458298438160312154
11Penguins1010000046-21010000046-20000000000000.00047110030322734528025222612431527183133.33%6266.67%019637951.72%19841647.60%14427751.99%458298438160312154
12Reign11000000927000000000001100000092721.00091423003032273392802522261235160312150.00%000.00%019637951.72%19841647.60%14427751.99%458298438160312154
13Roadrunners3300000014772200000010551100000042261.000142135003032273112280252226121023725704125.00%10190.00%019637951.72%19841647.60%14427751.99%458298438160312154
14Rocket1010000013-21010000013-20000000000000.00012300303227354280252226123619031300.00%000.00%019637951.72%19841647.60%14427751.99%458298438160312154
15Stars11000000606000000000001100000060621.0006101601303227342280252226122941126000.00%30100.00%019637951.72%19841647.60%14427751.99%458298438160312154
16Wranglers11000000606000000000001100000060621.000610160130322733528025222612335322122100.00%60100.00%219637951.72%19841647.60%14427751.99%458298438160312154
Total201530101091484397200000412516118101010502327340.8509115024102303227376528025222612732248194452361336.11%53884.91%419637951.72%19841647.60%14427751.99%458298438160312154
_Since Last GM Reset201530101091484397200000412516118101010502327340.8509115024102303227376528025222612732248194452361336.11%53884.91%419637951.72%19841647.60%14427751.99%458298438160312154
_Vs Conference161310101078354355000000281216118101010502327300.9387812720502303227360528025222612582189147359281242.86%42588.10%419637951.72%19841647.60%14427751.99%458298438160312154
_Vs Division108101000452223440000002291364101000231310180.9004572117013032273386280252226123501028522714535.71%26388.46%019637951.72%19841647.60%14427751.99%458298438160312154

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2034W109115024176573224819445202
All Games
GPWLOTWOTL SOWSOLGFGA
2015310109148
Home Games
GPWLOTWOTL SOWSOLGFGA
97200004125
Visitor Games
GPWLOTWOTL SOWSOLGFGA
118110105023
Last 10 Games
WLOTWOTL SOWSOL
1000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
361336.11%53884.91%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
280252226123032273
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
19637951.72%19841647.60%14427751.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
458298438160312154


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 Visiting Team Score Home Team Score ST OT SO RI Link
3 - 2023-10-1213Thunderbirds6Stars0AWBoxScore
5 - 2023-10-1428Firebirds3Thunderbirds6BWBoxScore
10 - 2023-10-1957Roadrunners2Thunderbirds6BWBoxScore
12 - 2023-10-2175Penguins6Thunderbirds4BLBoxScore
15 - 2023-10-2493Thunderbirds3Moose2AWBoxScore
17 - 2023-10-26109Thunderbirds6Wranglers0AWBoxScore
18 - 2023-10-27116Thunderbirds4Canucks3AWXXBoxScore
23 - 2023-11-01143Thunderbirds2Eagles4ALBoxScore
25 - 2023-11-03158Comets3Thunderbirds6BWBoxScore
26 - 2023-11-04161Rocket3Thunderbirds1BLBoxScore
29 - 2023-11-07184Moose2Thunderbirds6BWBoxScore
31 - 2023-11-09199Roadrunners3Thunderbirds4BWBoxScore
33 - 2023-11-11219Thunderbirds4Eagles2AWBoxScore
36 - 2023-11-14235Crunch1Thunderbirds2BWBoxScore
38 - 2023-11-16250Thunderbirds4Barracuda2AWBoxScore
40 - 2023-11-18266Thunderbirds9Reign2AWBoxScore
41 - 2023-11-19271Thunderbirds4Gulls3AWBoxScore
44 - 2023-11-22287Thunderbirds4Roadrunners2AWBoxScore
46 - 2023-11-24296Admirals2Thunderbirds6BWBoxScore
48 - 2023-11-26317Thunderbirds4IceHogs3AWXBoxScore
50 - 2023-11-28330Thunderbirds-Wild-
52 - 2023-11-30348Americans-Thunderbirds-
54 - 2023-12-02365Thunderbirds-Roadrunners-
56 - 2023-12-04379Thunderbirds-Silver Knights-
58 - 2023-12-06390Silver Knights-Thunderbirds-
60 - 2023-12-08405Thunderbirds-Monsters-
61 - 2023-12-09416Thunderbirds-IceHogs-
64 - 2023-12-12436Griffins-Thunderbirds-
66 - 2023-12-14451Senators-Thunderbirds-
68 - 2023-12-16469Stars-Thunderbirds-
71 - 2023-12-19488Thunderbirds-Crunch-
73 - 2023-12-21500Thunderbirds-Checkers-
75 - 2023-12-23524IceHogs-Thunderbirds-
79 - 2023-12-27536Stars-Thunderbirds-
81 - 2023-12-29552Eagles-Thunderbirds-
82 - 2023-12-30559Thunderbirds-Penguins-
87 - 2024-01-04596Canucks-Thunderbirds-
89 - 2024-01-06609Thunderbirds-Wolves-
92 - 2024-01-09630Checkers-Thunderbirds-
94 - 2024-01-11647Wolf Pack-Thunderbirds-
96 - 2024-01-13667Bruins-Thunderbirds-
98 - 2024-01-15679Phantoms-Thunderbirds-
101 - 2024-01-18696Thunderbirds-Bears-
103 - 2024-01-20713Bears-Thunderbirds-
106 - 2024-01-23735Thunderbirds-Wranglers-
107 - 2024-01-24744Thunderbirds-Canucks-
109 - 2024-01-26758Thunderbirds-Firebirds-
111 - 2024-01-28773Reign-Thunderbirds-
113 - 2024-01-30776Monsters-Thunderbirds-
124 - 2024-02-10804Thunderbirds-Americans-
125 - 2024-02-11817Thunderbirds-Rocket-
127 - 2024-02-13827Thunderbirds-Marlies-
129 - 2024-02-15844Condors-Thunderbirds-
131 - 2024-02-17854Admirals-Thunderbirds-
133 - 2024-02-19867Marlies-Thunderbirds-
136 - 2024-02-22895Islanders-Thunderbirds-
138 - 2024-02-24910Thunderbirds-Griffins-
141 - 2024-02-27934Thunderbirds-Moose-
142 - 2024-02-28940Thunderbirds-Condors-
145 - 2024-03-02967Wild-Thunderbirds-
147 - 2024-03-04977Thunderbirds-Phantoms-
148 - 2024-03-05984Thunderbirds-Islanders-
150 - 2024-03-07997Thunderbirds-Comets-
Trade Deadline --- Trades cannot be done after this date
152 - 2024-03-091018Thunderbirds-Wolf Pack-
154 - 2024-03-111027Thunderbirds-Bruins-
156 - 2024-03-131041Reign-Thunderbirds-
159 - 2024-03-161069Wild-Thunderbirds-
160 - 2024-03-171079Gulls-Thunderbirds-
162 - 2024-03-191089Eagles-Thunderbirds-
164 - 2024-03-211103Thunderbirds-Senators-
166 - 2024-03-231115Thunderbirds-Wild-
168 - 2024-03-251134Silver Knights-Thunderbirds-
171 - 2024-03-281157Wranglers-Thunderbirds-
173 - 2024-03-301177Barracuda-Thunderbirds-
175 - 2024-04-011186Condors-Thunderbirds-
178 - 2024-04-041208Thunderbirds-Admirals-
180 - 2024-04-061221Thunderbirds-Barracuda-
181 - 2024-04-071235Thunderbirds-Gulls-
184 - 2024-04-101252IceHogs-Thunderbirds-
186 - 2024-04-121265Wolves-Thunderbirds-
188 - 2024-04-141283Firebirds-Thunderbirds-
191 - 2024-04-171305Thunderbirds-Stars-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity35001500
Ticket Price5025
Attendance31,50013,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 5000 - 100.00% 108,375$975,375$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,852,888$ 18,479,208$ 18,479,208$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
96,246$ 4,852,888$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,468,000$ 143 96,246$ 13,763,178$




Thunderbirds

# 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
1Gemel Smith1849314924211152422413233327.93%49240013.059162528123314057.14%62.0203
2Jack Rathbone1021011282291699417515730832.79%150225522.11131528272355640.00%92.0311
3Noah Gregor8210911021913689311927240.07%47188222.969918234591510443.56%162.3312
4Robert Thomas688013321312787711718842.55%48156323.009716183691111156.97%92.7202
5Frederik Gauthier164861172036253715524740221.39%66283117.271017273351667355.42%51.4311

Thunderbirds

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Arturs Silovs82562110.8394.17484547337209212461300.50012
2Stuart Skinner66224130.8704.3439696128722071318121.0003
3Scott Wedgewood2017300.9342.3812090248732429300.8005
4Andrew Hammond1641110.8445.479650088565339000.0000

Thunderbirds

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
2021821720144071536-465411330133043262-219410390011028274-24616711312020409183982501712404111768713143964922693.98%1074557.94%135075646.30%35984442.54%562121846.14%248019961489501974449
20218253250201161536425141281002001318175143412515000102971891081136159671582070263203146206507216986442135806173811441796837.99%2154778.14%19636114155.74%623116953.29%854162252.65%1709108719466201274652
202282205205410278377-9941171504410156159-34133701000122218-9656278481759219880946249785481381517277499339216651593220.13%1774872.88%6671130551.42%706137151.50%581118449.07%1787110717956821360675
2023201530101091484397200000412516118101010502327349115024102303227376528025222612732248194452361336.11%53884.91%419637951.72%19841647.60%14427751.99%458298438160312154
Total Regular Season266891520987110551325-270132536007741558621-63134369202130497704-20721910551729278421412838434219461521134195719791084740927603763391060012220.33%55214873.19%301853358151.75%1886380049.63%2141430149.78%643644885670196339231932
Playoff
2021624000003444-10312000001618-2312000001826-8434498300015117181058536917764697918738.89%14285.71%04110439.42%337742.86%5211943.70%13588131499746
Total Playoff624000003444-10312000001618-2312000001826-8434498300015117181058536917764697918738.89%14285.71%04110439.42%337742.86%5211943.70%13588131499746

Thunderbirds

# 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
1Jack Rathbone68816-7176103522.86%1214724.5103320002000.00%12.1800
2Kieffer Bellows661016-10662920.69%510417.47224600001050.00%03.0500
3Frederik Gauthier68816-15472040.00%411919.95224300000047.31%12.6700
4Noah Gregor68513-508122828.57%714223.80112700020075.00%01.8200
5Gemel Smith6459-829912119.05%010818.162134000011100.00%11.6500

Thunderbirds

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Arturs Silovs62210.7726.713490039171105300.0000