Admirals

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Marc-Andre Turcotte | Morale : 75 | Team Overall : 62
Next Games #6 vs Thunderbirds

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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 SP
1Conor Geekie (R)XX100.007742856888827466706267636861638575650
2Mavrik Bourque (A)XX100.006237927170928767776864656663657875650
3Riley TufteXX100.008479686398878564656062656168697075650
4Alex Belzile (C)XX100.006544636674948465716761636474762375640
5Charles HudonXX100.005939726768958365746862616971734675640
6Joshua RoyXXX100.006337946673888365616264636762655175640
7Justin HryckowianXX100.006739836471767563726562616364674675630
8Zack OstapchukXX100.007846786289768861746358656062647575630
9Fraser Minten (R)XX100.007138926479887163686059626461637575620
10Justin Robidas (R)XX100.006335956466857363716261606562645675620
11T.J. Tynan (A)X100.006038696460738562736657596373753975620
12Chaz LuciusX100.006537916274786759696155585662648375600
13Adam Wilsby (R)X100.006538886675857865306458635165675975630
14Spencer StastneyX100.006136956471838163306559685065675575630
15Marc Del GaizoX100.006738846570858763306659645266685875630
16Ben HarpurX100.009056655899686657305653634670724875610
17Jeremy DaviesX100.005939736068808659306556574969714075610
18Joe HickettsX100.005537806164687759306453554769743675600
Scratches
1Alex Campbell (R)X100.006236955671746455525657545363666575580
2Riley KidneyXXX100.006138805869718357635654535562646875580
3Luke Prokop (R)X100.008851925497656653305551594563656775600
4Ethan SamsonX100.006439775873728557305655544662645175590
5Ty Gallagher (R)X100.006338896272716157306154564762644975590
6Jake Furlong (R)X100.006638925575647154305352554661635775570
TEAM AVERAGE100.00674183627679786153625860566567587562
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Dennis Hildeby100.00778682987675777675777664715775650
2Yaroslav Askarov (R)100.00778783797675777675777663698475650
Scratches
1Thomas Milic100.00718177727069717069717062674975620
TEAM AVERAGE100.0075858183747375747375746369637564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Chris Taylor65687066797470CAN531500,000$


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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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam WilsbyD262000-08-07Yes188 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Alex BelzileC/RW351991-08-31No196 Lbs6 ft0NoNoYes2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Alex CampbellLW252001-02-27Yes182 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ben HarpurD311995-01-12No231 Lbs6 ft6NoNoYes1UFAPro & Farm775,000$0$0$NoLink / NHL Link
Charles HudonLW/RW321994-06-23No190 Lbs5 ft10NoNoYes3UFAPro & Farm775,000$0$0$NoLink / NHL Link
Chaz LuciusC232003-05-02No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Conor GeekieC/RW222004-05-05Yes207 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dennis HildebyG252001-08-19No224 Lbs6 ft7NoNoNo3RFAPro & Farm979,200$0$0$NoLink / NHL Link
Ethan SamsonD232003-08-23No180 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Fraser MintenC/LW222004-07-05Yes195 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jake FurlongD222004-03-04Yes189 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jeremy DaviesD301996-12-04No180 Lbs5 ft11NoNoYes1UFAPro & Farm878,500$0$0$NoLink / NHL Link
Joe HickettsD301996-05-04No180 Lbs5 ft8NoNoYes2UFAPro & Farm775,000$0$0$NoLink / NHL Link
Joshua RoyC/LW/RW232003-08-06No192 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Justin HryckowianC/LW252001-02-23No195 Lbs5 ft11NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Justin RobidasC/RW232003-03-13Yes176 Lbs5 ft8NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luke ProkopD242002-06-05Yes224 Lbs6 ft6NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Marc Del GaizoD271999-10-11No188 Lbs5 ft11NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Mavrik BourqueC/RW242002-01-08No181 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Riley KidneyC/LW/RW232003-03-25No181 Lbs5 ft11NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Riley TufteLW/RW281998-04-10No230 Lbs6 ft6NoNoYes3UFAPro & Farm775,000$0$0$NoLink / NHL Link
Spencer StastneyD262000-01-04No184 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
T.J. TynanC341992-02-25No160 Lbs5 ft8NoNoYes2UFAPro & Farm775,000$0$0$NoLink / NHL Link
Thomas MilicG232003-04-14No175 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ty GallagherD232003-03-06Yes188 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Yaroslav AskarovG242002-06-16Yes178 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Zack OstapchukC/LW232003-05-29No212 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.78192 Lbs6 ft12.11891,952$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fraser MintenMavrik BourqueConor Geekie35032
2Charles HudonAlex BelzileJoshua Roy35032
3Justin HryckowianZack OstapchukJustin Robidas20032
4Chaz LuciusT.J. TynanRiley Tufte10032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Spencer StastneyAdam Wilsby35032
2Marc Del GaizoBen Harpur35032
3Jeremy DaviesJoe Hicketts20032
4Marc Del GaizoSpencer Stastney10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fraser MintenMavrik BourqueConor Geekie60005
2Charles HudonJustin HryckowianAlex Belzile40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam WilsbyJoshua Roy60014
2Marc Del GaizoSpencer Stastney40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Zack OstapchukRiley Tufte60140
2Mavrik BourqueConor Geekie40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurSpencer Stastney60131
2Marc Del GaizoAdam Wilsby40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mavrik Bourque60050Ben HarpurSpencer Stastney60140
2Conor Geekie40140Marc Del GaizoAdam Wilsby40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mavrik BourqueConor Geekie60023
2Alex BelzileJoshua Roy40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurSpencer Stastney60122
2Marc Del GaizoAdam Wilsby40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Charles HudonMavrik BourqueConor GeekieMarc Del GaizoAdam Wilsby
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zack OstapchukMavrik BourqueRiley TufteAdam WilsbySpencer Stastney
Extra Forwards
Normal PowerPlayPenalty Kill
Fraser Minten, Alex Belzile, Justin HryckowianZack Ostapchuk, Justin RobidasJoshua Roy
Extra Defensemen
Normal PowerPlayPenalty Kill
Ben Harpur, Jeremy Davies, Spencer StastneyJeremy DaviesBen Harpur, Jeremy Davies
Penalty Shots
Charles Hudon, Conor Geekie, Joshua Roy, Mavrik Bourque, Justin Robidas
Goalie
#1 : Yaroslav Askarov, #2 : Dennis Hildeby


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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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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2026-04-206Thunderbirds-Admirals-
4 - 2026-04-2214Thunderbirds-Admirals-
6 - 2026-04-2422Admirals-Thunderbirds-
8 - 2026-04-2630Admirals-Thunderbirds-
10 - 2026-04-2838Thunderbirds-Admirals-
12 - 2026-04-3046Admirals-Thunderbirds-
14 - 2026-05-0254Thunderbirds-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price4020
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,408,270$ 2,408,270$ 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$ 14 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
202056232203512176169728101302210878342813901302898636117631949512067555020270655653704180453444913881863719.89%1724772.67%21080216449.91%1030200851.29%43484951.12%13699461289416732372
202182382803265302269334123110112316713730411517021421351323101302537839210101979529290911974994254772670519322747226.28%2926976.37%21612309752.05%1449279751.81%724137252.77%2026140218926011065537
2022824030045302922866412612011101631333041141803420129153-2499292530822110112908328180955893933266477373319012997424.75%3306680.00%41575299552.59%1543293352.61%735137953.30%1993136718936051067536
20238132330923228927613412012070111621303240122102221127146-1992289527816520108967327620919896910249968765118373477220.75%2906378.28%41562301651.79%1399275450.80%725133054.51%2019139518425951043534
2024824621046322551956041251001500127973041211103132128983011425544870308087857626400859815934227861647518732645320.08%2173982.03%31513288752.41%1350266850.60%639123151.91%2051144518775841040531
20258240270543323420925412211022311241022241181603202110107310323442165531081786725430807845856216465763117492775921.30%2313783.98%31511284753.07%1377254154.19%626121851.40%2016141118956041055532
Total Regular Season46521916102824191415481404144233126690141185830682148232939201413119718722-457015482782433012150556501444157190510650765331139563993364410680164736722.28%153232179.05%1888531700652.06%81481570151.89%3883737952.62%11476796810690340860053044
Playoff
202124159000009576191293000005537181266000004039130951692641002731358520259286298796208182544751824.00%831680.72%043386050.35%42686049.53%22139955.39%567390574177308155
20221275000004442265100000281810624000001624-8144483127000151613430016712413635686124292461021.74%491373.47%123745352.32%21240252.74%10921051.90%3002072658915881
2023241590000078780117400000403371385000003845-730781462240003519228140268258249899240220629851416.47%951881.05%148390153.61%47199547.34%20540850.25%600415600181313155
2024624000001318-532100000911-23030000047-34132437000562173051685418269381632314.35%18383.33%08420840.38%9919949.75%337544.00%14398138437740
Total Playoff6639270000023021416322390000013299333416180000098115-177823042265210082727222690745736737223360356416282294318.78%2455079.59%21237242251.07%1208245649.19%568109252.01%161211121579491857432