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 #9 vs Gulls

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 SP
Scratches
1Conor GeekieXX100.007843777089858866746564676362658575660
2Matej BlumelX100.006537906875778667616365626766685975650
3Juuso ParssinenXX100.007640886685737565726263616667654775640
4Justin RobidasXX100.005536956765928566726864616564665575640
5Zack OstapchukXX100.008053756589768763766059665663657575640
6Andrew Cristall (R)X100.005536906766818766716861626861637575630
7Egor AfanasyevX100.008043726589957164586359626165677175630
8Joshua RoyXXX100.006337886673898264685865596663654975630
9Luca Pinelli (R)X100.006139726065848756676353575461636075590
10Riley KidneyXXX100.006039805969677258615752535463656775580
11Eddie Genborg (R)X100.006440775673816353575554525859617575570
12Spencer StastneyX100.006136936871838164306955685166685575640
13Luke ProkopX100.008851895697667354305553614664666375610
14Ryan Chesley (R)X100.006437926073678459306157584962647675610
15Adam GinningX100.007141745983818258305752654666687075600
16Ethan SamsonX100.006439815973778056305857554863654975590
17Ty Gallagher (R)X100.006339826172716958306056554863654975590
18Jake Furlong (R)X100.006641735775657455305654584662645775580
TEAM AVERAGE100.00674083637778796153615860566365637562
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
Scratches
1Arsenii Sergeev (R)100.00768278817574767574767564715875650
2Thomas Milic100.00758379707473757473757463695975640
3Scott Ratzlaff (R)100.00667673756564666564666561655675590
TEAM AVERAGE100.0072807775717072717072716368587563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pascal Vincent75737260857966CAN5531,000,000$


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
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 GinningD272000-01-13No196 Lbs6 ft3NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Andrew CristallLW222005-02-04Yes167 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Arsenii SergeevG252002-12-16Yes192 Lbs6 ft3NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Conor GeekieC/RW232004-05-05No212 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Eddie GenborgRW202007-04-20Yes179 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Egor AfanasyevLW262001-01-23No211 Lbs6 ft4NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Ethan SamsonD242003-08-23No180 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jake FurlongD232004-03-04Yes189 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Joshua RoyC/LW/RW242003-08-06No192 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Justin RobidasC/RW242003-03-13No176 Lbs5 ft8NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Juuso ParssinenC/LW262001-02-01No207 Lbs6 ft3NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Luca PinelliC222005-04-05Yes176 Lbs5 ft9NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luke ProkopD252002-06-05No224 Lbs6 ft6NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matej BlumelRW272000-05-31No202 Lbs6 ft0NoNoNo3RFAPro & Farm999,000$0$0$NoLink / NHL Link
Riley KidneyC/LW/RW242003-03-25No181 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ryan ChesleyD232004-02-27Yes195 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Scott RatzlaffG222005-03-09Yes188 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Spencer StastneyD272000-01-04No184 Lbs6 ft0NoNoNo1RFAPro & Farm996,000$0$0$NoLink / NHL Link
Thomas MilicG242003-04-14No175 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ty GallagherD242003-03-06Yes188 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Zack OstapchukC/LW242003-05-29No212 Lbs6 ft4NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2124.10192 Lbs6 ft12.10921,190$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135032
235032
320032
410032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135023
235032
320032
410032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160005
240014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160014
240014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160131
240131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160140
240140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16005060140
24014040140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160023
240023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

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
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
1 - 2026-09-199Admirals-Gulls-
2 - 2026-09-2024Admirals-Wild-
4 - 2026-09-2242Phantoms-Admirals-
5 - 2026-09-2358Admirals-Crunch-
7 - 2026-09-2577Canucks-Admirals-
8 - 2026-09-2690Checkers-Admirals-
10 - 2026-09-28104Admirals-Barracuda-
11 - 2026-09-29126Thunderbirds-Admirals-
13 - 2026-10-01136Admirals-Hammers-
14 - 2026-10-02153Penguins-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price4525
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,934,500$ 1,934,500$ 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
2025734000001822-4422000001212031200000610-461833512007742070676971207505316716531.25%22768.18%012524551.02%12023052.17%5411148.65%172120161488643
Total Playoff7342310000024823612362511000001441113337172000000104125-218424845570330089797624760812805808244065361717952454819.59%2675778.65%21362266751.07%1328268649.44%622120351.70%178412331740540944476