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Thunderbirds
GP: 11 | W: 7 | L: 4
GF: 33 | GA: 24 | PP%: 30.00% | PK%: 79.49%
GM : Jesse OReilly | Morale : 67 | Team Overall : 62
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Game Center
Thunderbirds
7-4-0, 14pts
5
FINAL
1 Bears
16-10-0, 32pts
Team Stats
L1StreakW4
3-3-0Home Record7-6-0
4-1-0Away Record9-4-0
6-4-0Last 10 Games6-3-1
3.00Goals Per Game3.15
2.18Goals Against Per Game2.46
30.00%Power Play Percentage20.00%
79.49%Penalty Kill Percentage80.65%
Bears
16-10-0, 32pts
4
FINAL
0 Thunderbirds
7-4-0, 14pts
Team Stats
W4StreakL1
7-6-0Home Record3-3-0
9-4-0Away Record4-1-0
6-3-1Last 10 Games6-4-0
3.15Goals Per Game3.00
2.46Goals Against Per Game2.18
20.00%Power Play Percentage30.00%
80.65%Penalty Kill Percentage79.49%
Team Leaders
Alex NedeljkovicWins
Alex Nedeljkovic
7
Cal PetersenSave Percentage
Cal Petersen
1

Team Stats
Goals For
33
3.00 GFG
Shots For
354
32.18 Avg
Power Play Percentage
30.0%
6 GF
Offensive Zone Start
44.3%
Goals Against
24
2.18 GAA
Shots Against
258
23.45 Avg
Penalty Kill Percentage
79.5%
8 GA
Defensive Zone Start
29.9%
Team Info

General ManagerJesse OReilly
CoachD.J. Smith
DivisionDivision 5
ConferenceConference 2
CaptainSam Gagner
Assistant #1Brendan Gallagher
Assistant #2Zemgus Girgensons


Arena Info

Capacity3,000
Attendance3,000
Season Tickets1,500


Roster Info

Pro Team37
Farm Team19
Contract Limit56 / 100
Prospects77


Team History

This Season7-4
History256-81-16 (0.725%)
Playoff Appearances3
Playoff Record (W-L)43-24
Stanley Cup1


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
1Brendan Gallagher (A)X100.0067556582666764823670806348808365947003231,750,000$
2Jesper FastX100.0078449485716898593768657375767967506903222,975,000$
3Sam Gagner (C)XX100.0062539276726282783767766161888764946903421,072,000$
4Zemgus Girgensons (A)XX100.007744957478648563506367772579786493680303924,000$
5Kevin LabancXX100.0075438681676864745571746375717169816802832,800,000$
6Andrew AgozzinoXX100.007066706665798373826870666363626392670331754,000$
7Mason AppletonX100.0075449580727371603174647625686865946702832,100,000$
8Austin WatsonXX100.008899567880578857395161815374746484660322963,000$
9Samuel BlaisXX100.0099478782766163653371666175666866836602831,400,000$
10Oskar LindblomX100.00724393787257936141615969256969619364X02711,239,000$
11Georgii Merkulov (R)XX100.0073668866697071688167666662474762926402331,185,000$
12Hunter McKown (R)X100.0075438667706149758064566325484759906102131,083,000$
13Patrik NemethX100.0080458871837286592550509725747559917303232,000,000$
14Bowen ByramX100.008476758976855869256664782559596887710231894,167$
15Philippe MyersX100.009447888081576966255751772564636093690274884,000$
16Nick Blankenburg (R)X100.0082448779637860712566547925505062926802621,196,000$
17Arber Xhekaj (R)X100.0097994573946768662553496725525258946602331,637,000$
18Lucas CarlssonX100.0073708071707072662558596754535360836402641,119,000$
Scratches
1Trey Fix-Wolansky (R)X100.006964827066788071506971626747476865650253859,000$
2John Leonard (R)XX100.007567937267778259505858625646466175610252925,000$
3Pavol Regenda (R)XX100.006743906580577162446258672545456319600243868,000$
4Jimmy Huntington (R)X100.007272716773697260755957605446465934600253750,000$
5Mathias Laferriere (R)X100.007165866965676960755957625444446219590232880,122$
6Beck Malenstyn (R)XX100.007876836876748052654554635144445920580262750,000$
7Jordy BelleriveX100.007169746369606253664953605044445720550253936,000$
8Dino Kambeitz (R)XX100.008078836478646949614646634444445520550242917,000$
9Raivis Ansons (R)X100.007471826571636748504446604444445420540223844,167$
10D.J. Busdeker (R)X100.007065835965575949504746584444445320520243750,000$
11Tanner KaspickX100.007575746575515347594346604444445220520262750,000$
12Marcus Bjork (R)X100.0080446667767581792563527825515059816802611,239,000$
13Cavan FitzgeraldX100.00757282657258615125444264395555521958X02711,033,000$
14Albert Johansson (R)X100.006762796462657048253942574044445220550233919,167$
15Matt Hellickson (R)X100.007267846467545646253740593844445120540262869,556$
TEAM AVERAGE100.00766181727266716245585867445757606263
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
1Alex Nedeljkovic100.00616765706956736569607559605993650
2Cal Petersen100.00595454706556876568599557586295640
Scratches
1Mitchell Weeks (R)100.00566075765657546155553044445724570
2Pavel Cajan (R)100.00465366734346505346473044444824500
TEAM AVERAGE100.0056596572585466616055585152575959
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
D.J. Smith44567174454656CAN4522,000,000$


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
1Sam GagnerThunderbirds (STL)C/RW11861452010202962227.59%718616.94123317000001053.54%22660001.5000000120
2Brendan GallagherThunderbirds (STL)RW112810416025115626263.57%222720.68044617000051030.30%33181000.8800000000
3Andrew AgozzinoThunderbirds (STL)C/LW1144874025232011120.00%319317.56000000000120068.35%13983000.8300000111
4Jesper FastThunderbirds (STL)RW1153890077245920.83%820018.19000001012351050.00%881000.8000000112
5Samuel BlaisThunderbirds (STL)LW/RW11178820268264183.85%317215.64011213000000066.67%384000.9300000010
6Zemgus GirgensonsThunderbirds (STL)C/LW11347-20020132261513.64%418316.660221130111341046.55%11674000.7600000101
7Kevin LabancThunderbirds (STL)LW/RW11347400136499186.12%720418.60202417000002047.37%19124000.6800000001
8Bowen ByramThunderbirds (STL)D1124671152614251178.00%825923.6110131800006000.00%077000.4600100010
9Patrik NemethThunderbirds (STL)D11145975212112888.33%1728325.73101118000015100.00%009000.3500100012
10Nick BlankenburgThunderbirds (STL)D11033-120161915780.00%1123521.43000013000028000.00%047000.2500000000
11Austin WatsonThunderbirds (STL)LW/RW11112-327527712338.33%015414.09000000001120050.00%210000.2600001000
12Philippe MyersThunderbirds (STL)D11022020141010290.00%422620.59022113000022000.00%026000.1800000000
13Lucas CarlssonThunderbirds (STL)D911230042111100.00%2596.6400000000014000.00%000000.6700000000
14Georgii MerkulovThunderbirds (STL)C/RW11112-30018523684.35%414112.87101313000000033.33%340000.2800000000
15Mason AppletonThunderbirds (STL)RW111011006617435.88%4928.390000100000000.00%022000.2200000000
16Hunter McKownThunderbirds (STL)C5011100627130.00%05310.78000000000110054.55%1100000.3700000000
17Oskar LindblomThunderbirds (STL)LW110001001482160.00%11049.53000000001150050.00%220000.0000000000
18Arber XhekajThunderbirds (STL)D11000431526193220.00%218516.8400000000030000.00%012000.0000001000
19Marcus BjorkThunderbirds (STL)D8000020531330.00%0708.7700000000010000.00%001000.0000000000
20Trey Fix-WolanskyThunderbirds (STL)RW6000000000000.00%000.130000000000000.00%000000.0000000000
Team Total or Average20433538654106203092043541061809.32%87323515.86611172415911252557054.09%5629051000.5300202477
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
1Alex NedeljkovicThunderbirds (STL)117400.9062.246442024255158100.0000110100
2Cal PetersenThunderbirds (STL)10001.0000.001400032000.0000011000
Team Total or Average127400.9072.196592024258160100.00001111100


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 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
Albert JohanssonThunderbirds (STL)D234/1/2001Yes168 Lbs6 ft0NoNoNo3Pro & Farm919,167$919,167$0$0$No919,167$919,167$
Alex NedeljkovicThunderbirds (STL)G281/7/1996No189 Lbs6 ft0NoNoNo3Pro & Farm1,255,000$1,653,000$0$0$No1,255,000$1,255,000$Link / NHL Link
Andrew AgozzinoThunderbirds (STL)C/LW331/2/1991No187 Lbs5 ft10NoNoNo1Pro & Farm754,000$754,000$0$0$NoLink / NHL Link
Arber XhekajThunderbirds (STL)D231/30/2001Yes238 Lbs6 ft4NoNoNo3Pro & Farm1,637,000$1,488,333$0$0$No1,488,000$1,340,000$Link
Austin WatsonThunderbirds (STL)LW/RW321/12/1992No204 Lbs6 ft4NoNoNo2Pro & Farm963,000$963,000$0$0$No963,000$Link / NHL Link
Beck MalenstynThunderbirds (STL)C/LW262/4/1998Yes200 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link
Bowen ByramThunderbirds (STL)D236/12/2001No195 Lbs6 ft0NoNoNo1Pro & Farm894,167$894,167$0$0$NoLink
Brendan GallagherThunderbirds (STL)RW325/6/1992No186 Lbs5 ft9NoNoNo3Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$Link / NHL Link
Cal PetersenThunderbirds (STL)G2910/19/1994No185 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$Link / NHL Link
Cavan FitzgeraldThunderbirds (STL)D278/23/1996No196 Lbs6 ft1NoYesNo1Pro & Farm1,033,000$1,033,000$0$0$NoLink / NHL Link
D.J. BusdekerThunderbirds (STL)RW249/25/1999Yes181 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link
Dino KambeitzThunderbirds (STL)C/RW241/25/2000Yes212 Lbs6 ft2NoNoNo2Pro & Farm917,000$917,000$0$0$No826,000$Link
Georgii MerkulovThunderbirds (STL)C/RW2310/10/2000Yes181 Lbs5 ft11NoNoNo3Pro & Farm1,185,000$1,077,000$0$0$No1,077,000$969,000$Link
Hunter McKownThunderbirds (STL)C218/18/2002Yes183 Lbs6 ft1NoNoNo3Pro & Farm1,083,000$1,083,000$0$0$No1,083,000$1,083,000$Link
Jesper FastThunderbirds (STL)RW3212/2/1991No191 Lbs6 ft1NoNoNo2Pro & Farm2,975,000$2,975,000$0$0$No2,975,000$Link / NHL Link
Jimmy HuntingtonThunderbirds (STL)C2511/18/1998Yes195 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No923,000$923,000$Link
John LeonardThunderbirds (STL)LW/RW258/7/1998Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No1,097,000$Link
Jordy BelleriveThunderbirds (STL)C255/2/1999No195 Lbs5 ft10NoNoNo3Pro & Farm936,000$947,100$0$0$No851,000$766,000$Link
Kevin LabancThunderbirds (STL)LW/RW2812/12/1995No185 Lbs5 ft11NoNoNo3Pro & Farm2,800,000$2,800,000$0$0$No2,800,000$2,800,000$Link / NHL Link
Lucas CarlssonThunderbirds (STL)D267/5/1997No190 Lbs6 ft0NoNoNo4Pro & Farm1,119,000$750,000$0$0$No1,205,000$1,205,000$1,205,000$Link / NHL Link
Marcus BjorkThunderbirds (STL)D2611/24/1997Yes203 Lbs6 ft3NoNoNo1Pro & Farm1,239,000$1,239,000$0$0$NoLink
Mason AppletonThunderbirds (STL)RW281/15/1996No193 Lbs6 ft2NoNoNo3Pro & Farm2,100,000$2,100,000$0$0$No2,100,000$2,100,000$Link / NHL Link
Mathias LaferriereThunderbirds (STL)C236/27/2000Yes174 Lbs6 ft1NoNoNo2Pro & Farm880,122$880,122$0$0$No880,122$Link
Matt HellicksonThunderbirds (STL)D263/21/1998Yes183 Lbs6 ft0NoNoNo2Pro & Farm869,556$869,556$0$0$No869,556$Link
Mitchell WeeksThunderbirds (STL)G226/22/2001Yes187 Lbs6 ft3NoNoNo8Pro & Farm1,060,000$1,060,000$0$0$No1,060,000$1,060,000$1,060,000$1,060,000$1,060,000$1,060,000$1,060,000$Link
Nick BlankenburgThunderbirds (STL)D265/12/1998Yes175 Lbs5 ft9NoNoNo2Pro & Farm1,196,000$1,086,500$0$0$No977,000$Link
Oskar LindblomThunderbirds (STL)LW278/15/1996No191 Lbs6 ft1NoYesNo1Pro & Farm1,239,000$1,239,000$0$0$NoLink / NHL Link
Patrik NemethThunderbirds (STL)D322/8/1992No228 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$Link / NHL Link
Pavel CajanThunderbirds (STL)G2110/13/2002Yes185 Lbs6 ft2NoNoNo3Pro & Farm1,133,000$1,029,667$0$0$No1,029,000$927,000$Link
Pavol RegendaThunderbirds (STL)LW/RW247/12/1999Yes219 Lbs6 ft3NoNoNo3Pro & Farm868,000$868,000$0$0$No868,000$868,000$Link
Philippe MyersThunderbirds (STL)D271/25/1997No210 Lbs6 ft5NoNoNo4Pro & Farm884,000$930,000$0$0$No1,085,000$1,085,000$1,085,000$Link / NHL Link
Raivis AnsonsThunderbirds (STL)LW221/29/2002Yes191 Lbs6 ft1NoNoNo3Pro & Farm844,167$844,167$0$0$No844,167$844,167$
Sam GagnerThunderbirds (STL)C/RW348/10/1989No200 Lbs5 ft11NoNoNo2Pro & Farm1,072,000$1,072,000$0$0$No1,072,000$Link / NHL Link
Samuel BlaisThunderbirds (STL)LW/RW286/17/1996No205 Lbs6 ft2NoNoNo3Pro & Farm1,400,000$1,400,000$0$0$No1,400,000$1,400,000$Link / NHL Link
Tanner KaspickThunderbirds (STL)C261/28/1998No205 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Trey Fix-WolanskyThunderbirds (STL)RW255/26/1999Yes185 Lbs5 ft8NoNoNo3Pro & Farm859,000$750,000$0$0$No859,000$859,000$Link
Zemgus GirgensonsThunderbirds (STL)C/LW301/5/1994No211 Lbs6 ft2NoNoNo3Pro & Farm924,000$840,000$0$0$No840,000$756,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3726.38194 Lbs6 ft12.651,208,464$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin LabancAndrew AgozzinoBrendan Gallagher40122
2Samuel BlaisSam GagnerJesper Fast30122
3Austin WatsonZemgus GirgensonsGeorgii Merkulov20122
4Oskar LindblomHunter McKownMason Appleton10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramPatrik Nemeth40122
2Philippe MyersNick Blankenburg30122
3Lucas CarlssonArber Xhekaj20122
4Bowen ByramPatrik Nemeth10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin LabancSam GagnerBrendan Gallagher60122
2Samuel BlaisZemgus GirgensonsGeorgii Merkulov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramPatrik Nemeth60122
2Philippe MyersNick Blankenburg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Zemgus GirgensonsJesper Fast60122
2Hunter McKownAustin Watson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas CarlssonArber Xhekaj60122
2Philippe MyersNick Blankenburg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jesper Fast60122Lucas CarlssonArber Xhekaj60122
2Zemgus Girgensons40122Bowen ByramPatrik Nemeth40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam GagnerBrendan Gallagher60122
2Andrew AgozzinoKevin Labanc40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramPatrik Nemeth60122
2Philippe MyersNick Blankenburg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kevin LabancSam GagnerBrendan GallagherBowen ByramPatrik Nemeth
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Austin WatsonZemgus GirgensonsJesper FastLucas CarlssonArber Xhekaj
Extra Forwards
Normal PowerPlayPenalty Kill
Brendan Gallagher, Kevin Labanc, Sam GagnerMason Appleton, Zemgus GirgensonsOskar Lindblom
Extra Defensemen
Normal PowerPlayPenalty Kill
Bowen Byram, Patrik Nemeth, Philippe MyersArber XhekajNick Blankenburg, Lucas Carlsson
Penalty Shots
Brendan Gallagher, Sam Gagner, Kevin Labanc, Mason Appleton, Jesper Fast
Goalie
#1 : Alex Nedeljkovic, #2 : Cal Petersen


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
1Bears734000001720-341300000612-632100000118360.429172845001211100219129112113016960812034125.00%28678.57%012624950.60%9016853.57%8814560.69%229117198112231107
2Reign44000000164122200000062422000000102881.000162541001211100135129112113089272710616531.25%11281.82%112624950.60%9016853.57%8814560.69%229117198112231107
Total11740000033249633000001214-254100000211011140.63633538600121110035412911211302588710830920630.00%39879.49%112624950.60%9016853.57%8814560.69%229117198112231107
_Since Last GM Reset11740000033249633000001214-254100000211011140.63633538600121110035412911211302588710830920630.00%39879.49%112624950.60%9016853.57%8814560.69%229117198112231107
_Vs Conference11740000033249633000001214-254100000211011140.63633538600121110035412911211302588710830920630.00%39879.49%112624950.60%9016853.57%8814560.69%229117198112231107

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1114L13353863542588710830900
All Games
GPWLOTWOTL SOWSOLGFGA
117400003324
Home Games
GPWLOTWOTL SOWSOLGFGA
63300001214
Visitor Games
GPWLOTWOTL SOWSOLGFGA
54100002110
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20630.00%39879.49%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
12911211301211100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12624950.60%9016853.57%8814560.69%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
229117198112231107


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
2 - 2023-11-017Reign1Thunderbirds4WBoxScore
4 - 2023-11-0315Reign1Thunderbirds2WBoxScore
6 - 2023-11-0523Thunderbirds8Reign1WBoxScore
8 - 2023-11-0731Thunderbirds2Reign1WBoxScore
16 - 2023-11-1560Bears2Thunderbirds1LBoxScore
18 - 2023-11-1764Bears4Thunderbirds2LBoxScore
20 - 2023-11-1968Thunderbirds3Bears2WBoxScore
22 - 2023-11-2172Thunderbirds3Bears5LBoxScore
24 - 2023-11-2376Bears2Thunderbirds3WBoxScore
26 - 2023-11-2580Thunderbirds5Bears1WBoxScore
28 - 2023-11-2784Bears4Thunderbirds0LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2812
Attendance12,0006,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 3000 - 100.00% 101,320$607,920$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 4,471,318$ 4,413,678$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 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
Regular Season
20209047220431223762928445251003160191143484522120126218514936131376605981337815512724309591111531023582362787172222912767527.17%34410270.35%81035199951.78%872184047.39%719137052.48%1944101816289211903912
2021905719007614132781354531700421202122804526120034021115655134413659107224116151140113381108111761111342384753104223872756624.00%3127575.96%131040192354.08%886171051.81%792139356.86%1974106316289001835880
202292542003393406286120462410032521961336346301000141210153571384066581064239915214322328797811961096652473771116023742988227.52%3058372.79%121116200655.63%968183952.64%747134955.37%1962102717029461918914
20239056200147249431917545334012412641391254523160023123018050134494819131334150196140153294106311331087402431768149323562998428.09%3749275.40%111100199055.28%895170552.49%871155156.16%2000108416378911810884
Total Regular Season362214810817348168911755141811133107917485353731618110150018174836638198537168927414430101444365455072130574033465843171979650307954179408114830726.74%133535273.63%444291791854.19%3621709451.04%3129566355.25%788141946598366074683591
Playoff
202016106000006958119630000042357743000002723420691141830115223025911781922165463136319413451328.89%581770.69%119039348.35%15335343.34%13826152.87%341185307157316149
202118108000006560510550000036351853000002925420651091740018242127132482102084767522216739943511.63%751382.67%526645258.85%25546355.08%16029154.98%433247390178351178
2022221660000010067331183000004928211183000005139123210017327312244329481523730925316710273255580721419.44%862076.74%123748448.97%23848549.07%16634847.70%502278426217430210
202311740000033249633000001214-2541000002110111433538600121110035412911211302588710830920630.00%39879.49%112624950.60%9016853.57%8814560.69%229117198112231107
Total Playoff67432400000267209583622140000013911227312110000001289731862674497161369100908247379282379068210671884917011803821.11%2585877.52%8819157851.90%736146950.10%552104552.82%150782913226661330646