Admirals

GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 9 | GA: 6 | PP%: 29.41% | PK%: 77.78%
GM : Sébastien Tremblay | Morale : 50 | Team Overall : 64
Next Games #54 vs Thunderbirds

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
1Rory Kerins0XX100.006135936865858367696665646863654950650
2Peyton Krebs0XX100.007449756872829065786661636465678150650
3David Gustafsson0X100.006539956480737562826160676365676450630
4Brandon Gignac0XX100.006138786370847561686058646268705350620
5Nikita Grebenkin0XX100.007241756482757063576058566163645750610
6Maxim Groshev0XX100.007139895980798358555657545864666250600
7Josh Lopina0XX100.007039895879668457615556595764666150600
8Zachary Gallant0X100.006941735978756156655857555966686150590
9Jalen Luypen0XX100.005936875761728258625556545763654950580
10Vincent Desharnais0X100.007680756499868461306752794869714050700
11Travis Hamonic0X100.007138836373878062306655724885753650680
12Jake Bean0X100.006135916676868765306758685269677250670
13Adam Wilsby0X100.006538886675857865306458635165675950650
14Ian Mitchell0X100.006337866673848264306758625066686550650
15Antti Tuomisto0X100.007641796185718259306054624564667450640
16Connor Mackey0X100.007463596084838157305958624969713650640
17Ethan Bear0X100.006737856572817664306857605269714950640
18William Wallinder0X100.007639945985658458305752634563657750630
19Jack Millar0X100.008442915493667153305650604565674250620
20Ryan Mast0X100.008542855294646751305350594562644950600
21Luke Krys0X100.006840815477707353305653554665674250590
Scratches
1Sam Lipkin0XX100.007040835779717256545555585662644950580
2Ryan Tverberg0XX100.005537885664747754655855535663654950570
3Jorian Donovan0X100.006543665674647155305453574561635750580
TEAM AVERAGE100.00694283617876785946605661536667565062
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
1Clay Stevenson100.00778480857675777675777666755550750
2Nikke Kokko100.00787774807776787776787761657050740
Scratches
1Carl Lindbom100.00777874707675777675777662674950720
TEAM AVERAGE100.0077807678767577767577766369585074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jean-Francois Houle76637467757177CAN5071,000,000$


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
1Rory KerinsAdmirals (Nas)C/LW333602018124725.00%07224.332246120001160157.14%3500001.6400000200
2Travis HamonicAdmirals (Nas)D3033-160445260.00%36923.15033412000013000.00%000000.8600000000
3Brandon GignacAdmirals (Nas)C/LW31121007243525.00%06321.09112111000091050.00%800000.6300000010
4Maxim GroshevAdmirals (Nas)LW/RW31120204075014.29%05016.821013130000000100.00%100000.7900000000
5Vincent DesharnaisAdmirals (Nas)D3112-12354141125.00%45117.091124700008000.00%000000.7800001000
6Nikita GrebenkinAdmirals (Nas)LW/RW3022040655230.00%05819.59011013000060057.14%700000.6800000000
7David GustafssonAdmirals (Nas)C3011200054140.00%15317.9800003000080056.86%5100000.3700000000
8Antti TuomistoAdmirals (Nas)D3011100100010.00%1124.200000000000000.00%000001.5900000000
9Jalen LuypenAdmirals (Nas)C/LW3011020214010.00%04414.69011180000000100.00%100000.4500000001
10Ian MitchellAdmirals (Nas)D3011000346240.00%06220.81000613000012000.00%000000.3200000000
11Ethan BearAdmirals (Nas)D3011200130010.00%13110.390000000000000.00%000000.6400000000
12William WallinderAdmirals (Nas)D31010000120250.00%0134.580001300001000.00%000001.4500000001
13Zachary GallantAdmirals (Nas)C31012603130233.33%04816.0300001000020057.14%700000.4200000000
14Josh LopinaAdmirals (Nas)C/RW3011120404110.00%05016.6901102000030057.69%2600000.4000000000
15Jake BeanAdmirals (Nas)D31010004465216.67%06220.81000313000012100.00%000000.3200000010
16Adam WilsbyAdmirals (Nas)D3000240040000.00%03110.380000000000000.00%000000.0000000000
17Jack MillarAdmirals (Nas)D3000000010000.00%093.300000000009000.00%000000.0000000000
18Connor MackeyAdmirals (Nas)D3000120101000.00%1124.190000000000000.00%000000.0000000000
19Ryan MastAdmirals (Nas)D3000000000000.00%041.520000100002000.00%000000.0000000000
20Peyton KrebsAdmirals (Nas)C/LW30000175589270.00%16020.110002100003130062.34%7700000.0000001000
Team Total or Average6091726107010505276284711.84%1286314.39510153112900041222159.15%21300000.6000002222
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
1Clay StevensonAdmirals (Nas)32100.9061.68179005530110.000030000
Team Total or Average32100.9061.68179005530110.000030000


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 WilsbyD252000-08-07No188 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Antti TuomistoD242001-01-20No194 Lbs6 ft4NoNoNo3RFAPro & Farm900,000$0$0$NoLink / NHL Link
Brandon GignacC/LW271997-11-07No170 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Carl LindbomG222003-05-20No165 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Clay StevensonG261999-03-03No195 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Connor MackeyD291996-09-12No205 Lbs6 ft3NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
David GustafssonC252000-04-11No196 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ethan BearD281997-06-26No197 Lbs5 ft11NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Ian MitchellD261999-01-18No192 Lbs6 ft0NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jack MillarD242000-11-30No220 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Jake BeanD271998-06-09No191 Lbs6 ft1NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Jalen LuypenC/LW232002-06-28No155 Lbs5 ft10NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jorian DonovanD212004-04-05No182 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Josh LopinaC/RW242001-02-16No195 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Luke KrysD242000-09-27No185 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Maxim GroshevLW/RW232001-12-14No196 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikita GrebenkinLW/RW222003-05-02No210 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Nikke KokkoG212004-03-14No184 Lbs6 ft3NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Peyton KrebsC/LW242001-01-26No186 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Rory KerinsC/LW232002-04-12No175 Lbs5 ft10NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan MastD222003-01-14No221 Lbs6 ft5NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Ryan TverbergC/RW232002-01-30No168 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Sam LipkinC/LW222003-01-03No192 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Travis HamonicD351990-08-16No195 Lbs6 ft0NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Vincent DesharnaisD291996-05-29No226 Lbs6 ft7NoNoNo3UFAPro & Farm2,500,000$0$0$NoLink / NHL Link
William WallinderD232002-07-28No191 Lbs6 ft4NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Zachary GallantC261999-03-06No188 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2724.74191 Lbs6 ft22.44540,741$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rory KerinsPeyton KrebsNikita Grebenkin40122
2Brandon GignacDavid GustafssonMaxim Groshev30122
3Jalen LuypenJosh LopinaZachary Gallant20122
4Peyton KrebsZachary GallantRory Kerins10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisTravis Hamonic40122
2Jake BeanIan Mitchell30122
3Adam WilsbyEthan Bear20122
4Connor MackeyAntti Tuomisto10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rory KerinsPeyton KrebsNikita Grebenkin60122
2Brandon GignacDavid GustafssonMaxim Groshev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisTravis Hamonic60122
2Jake BeanIan Mitchell40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Peyton KrebsRory Kerins60122
2David GustafssonBrandon Gignac40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisTravis Hamonic60122
2Jake BeanIan Mitchell40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Peyton Krebs60122Vincent DesharnaisTravis Hamonic60122
2Rory Kerins40122Jake BeanIan Mitchell40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Peyton KrebsRory Kerins60122
2David GustafssonBrandon Gignac40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisTravis Hamonic60122
2Jake BeanIan Mitchell40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rory KerinsPeyton KrebsNikita GrebenkinVincent DesharnaisTravis Hamonic
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rory KerinsPeyton KrebsNikita GrebenkinVincent DesharnaisTravis Hamonic
Extra Forwards
Normal PowerPlayPenalty Kill
Josh Lopina, Jalen Luypen, Nikita GrebenkinJosh Lopina, Jalen LuypenNikita Grebenkin
Extra Defensemen
Normal PowerPlayPenalty Kill
William Wallinder, Jack Millar, Ryan MastWilliam WallinderJack Millar, Ryan Mast
Penalty Shots
Peyton Krebs, Rory Kerins, David Gustafsson, Brandon Gignac, Nikita Grebenkin
Goalie
#1 : Clay Stevenson, #2 : Nikke Kokko


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
34L191726765412705010
All Games
GPWLOTWOTL SOWSOLGFGA
321000096
Home Games
GPWLOTWOTL SOWSOLGFGA
110000041
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000055
Last 10 Games
WLOTWOTL SOWSOL
210000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
17529.41%18477.78%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16223802520
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
558961.80%477860.26%244652.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
775363213921


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 - 2025-08-152Silver Knights1Admirals4WBoxScore
3 - 2025-08-1719Admirals4Griffins2WBoxScore
6 - 2025-08-2039Admirals1Thunderbirds3LBoxScore
8 - 2025-08-2254Thunderbirds-Admirals-
10 - 2025-08-2467Admirals-IceHogs-
12 - 2025-08-2681Admirals-Canucks-
13 - 2025-08-2787Admirals-Silver Knights-
14 - 2025-08-2896Canucks-Admirals-
18 - 2025-09-01122Griffins-Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
22 - 2025-09-05148IceHogs-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 146,000$ 146,000$ 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$ 18 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