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Admirals
GP: 53 | W: 24 | L: 27 | OTL: 2 | P: 50
GF: 217 | GA: 231 | PP%: 24.16% | PK%: 75.13%
GM : Dany Potvin | Morale : 39 | Team Overall : 64
Next Games #731 vs Monsters
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Game Center
Admirals
24-27-2, 50pts
4
FINAL
6 Reign
26-22-4, 56pts
Team Stats
SOL1StreakOTL1
14-12-2Home Record16-11-2
10-15-0Away Record10-11-2
2-7-1Last 10 Games7-2-1
4.09Goals Per Game4.12
4.36Goals Against Per Game4.25
24.16%Power Play Percentage21.20%
75.13%Penalty Kill Percentage80.57%
Thunderbirds
31-18-2, 64pts
7
FINAL
6 Admirals
24-27-2, 50pts
Team Stats
W1StreakSOL1
18-10-1Home Record14-12-2
13-8-1Away Record10-15-0
7-3-0Last 10 Games2-7-1
4.02Goals Per Game4.09
3.73Goals Against Per Game4.36
18.46%Power Play Percentage24.16%
77.54%Penalty Kill Percentage75.13%
Monsters
26-24-5, 57pts
2023-03-15
Admirals
24-27-2, 50pts
Team Stats
OTL1StreakSOL1
11-15-2Home Record14-12-2
15-9-3Away Record10-15-0
5-3-2Last 10 Games2-7-1
4.55Goals Per Game4.09
4.29Goals Against Per Game4.09
24.51%Power Play Percentage24.16%
77.78%Penalty Kill Percentage75.13%
Admirals
24-27-2, 50pts
2023-03-17
Phantoms
27-23-6, 60pts
Team Stats
SOL1StreakSOL1
14-12-2Home Record11-13-4
10-15-0Away Record16-10-2
2-7-1Last 10 Games5-3-2
4.09Goals Per Game4.29
4.36Goals Against Per Game4.29
24.16%Power Play Percentage22.84%
75.13%Penalty Kill Percentage79.68%
Admirals
24-27-2, 50pts
2023-03-20
Reign
26-22-4, 56pts
Team Stats
SOL1StreakOTL1
14-12-2Home Record16-11-2
10-15-0Away Record10-11-2
2-7-1Last 10 Games7-2-1
4.09Goals Per Game4.12
4.36Goals Against Per Game4.12
24.16%Power Play Percentage21.20%
75.13%Penalty Kill Percentage80.57%
Team Leaders
Goals
Joel Armia
28
Assists
Travis Dermott
38
Points
Markus Granlund
61
Plus/Minus
Joel Armia
10
Wins
Tristan Jarry
16
Save Percentage
Tristan Jarry
0.878

Team Stats
Goals For
217
4.09 GFG
Shots For
1681
31.72 Avg
Power Play Percentage
24.2%
43 GF
Offensive Zone Start
34.5%
Goals Against
231
4.36 GAA
Shots Against
1837
34.66 Avg
Penalty Kill Percentage
75.1%%
49 GA
Defensive Zone Start
37.4%
Team Info

General ManagerDany Potvin
CoachWayne Gretzky
DivisionJohn-Ahearne
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,816
Season Tickets300


Roster Info

Pro Team36
Farm Team19
Contract Limit55 / 250
Prospects0


Filter Tips
PriorityTypeDescription
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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)
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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
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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
1Anton GustafssonX100.007829787581717471747674707469563052720271800,000$
2Markus Granlund (R)X100.007629747677797574797573697761514155720242750,000$
3Joel Armia (R)X100.007632787379737472737481607258504640710242750,000$
4Mark McNeill (R)X100.007138767174747174767274717252504452710242750,000$
5Hunter Shinkaruk (R)X100.006439787466697068676981597348494452680231575,000$
6Lucas Wallmark (R)X100.006032817475737565797162706547464842680221575,000$
7Kasper Bjorkqvist (R)X100.006739787159757074818665495949474935680231500,000$
8Brett ConnollyX100.006729846376687171716976557049503738670251725,000$
9Riley Barber (R)X100.006834816761636370687264677345454052660232650,000$
10Freddie HamiltonX100.006930817465686763717263625948473242650251700,000$
11Nolan Vesey (R)X100.007637727271537470626760555444464249630222760,000$
12Josh Norris (R)X100.005330716161666165504881386840407240590182500,000$
13Kristian Vesalainen (R)X100.006128594349525754585156484940407126510182500,000$
14Andreas Englund (R)X100.007231857168746472526755815754455556700211750,000$
15Mattias BackmanX100.007131787673756768587557725961573547700252750,000$
16T.J BrodieX100.006432758268696973478062745563542952700271800,000$
17Travis Dermott (R)X100.005925808864607891468262705354456240700212650,000$
18Carl Dahlstrom (R)X100.007018836758587060396459755245464335650222650,000$
19Olli Juolevi (R)X100.006132758258485778346750674642426542640191500,000$
20Reilly Walsh (R)X100.005533786558565546356341743840406952590182500,000$
21Ian Mitchell (R)X100.004234737153435169357454613540407742580182500,000$
Scratches
1Alexandre MalletX100.007746717266608064576260495748472420620251600,000$
2Mark MacMillanX100.005037686656636367657765525647472920620251600,000$
3Ryan Olsen (R)X100.005229767068627164576165446745453320600232650,000$
4Stanislav GalievX100.005433746462624970555860507247472920590251600,000$
5Troy Bourke (R)X100.004738646656566463626766385145453320580232650,000$
6Carsen Twarynski (R)X100.004232825757775747576758635142445120580201500,000$
7Filip Chlapik (R)X100.005934675464535558655266475142425520560202650,000$
8Joni Ikonen (R)X100.004218715237473869515946405440406320500182500,000$
9Christian Djoos (R)X100.007132816866586265466747755346473641660232650,000$
10Josh Wesley (R)X100.005639826064676652376752694043434520620211650,000$
11Sergei Zborovskiy (R)X100.004829766164575944244828704242425720560201600,000$
12Libor Hajek (R)X100.006039715860535556315142564741415420560191500,000$
TEAM AVERAGE100.00623276686463656656676161584846473663
Filter Tips
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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
1Tristan Jarry100.00747575686877726158806852464652680222650,000$
2Felix Sanstrom100.00647167646867646663607144436641640202650,000$
Scratches
1Linus Ullmark100.00616468545273786557737348463419640241750,000$
TEAM AVERAGE100.0066707062637271645971714845493765
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wayne Gretzky70628291526855Can642850,000$


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
1Markus GranlundAdmirals (Nas)LW4625366113608858180357513.89%2889919.5491019281231012705259.50%1213923021.3635000531
2Joel ArmiaAdmirals (Nas)RW47283058103007546156398517.95%2783217.715813181150002374035.56%453422021.3901000541
3Anton GustafssonAdmirals (Nas)C532235572220951231925311011.46%29111120.9758132813901121270053.04%11523125121.0355000236
4Travis DermottAdmirals (Nas)D4153843-5120265312449524.03%5586521.112101218940119105000.00%02631000.9901000121
5Mark McNeillAdmirals (Nas)RW5319224112008054150387712.67%3294617.872461311210151100156.36%553325000.8712000042
6Hunter ShinkarukAdmirals (Nas)LW5319163522608764129225714.73%1489416.874610121220113473150.00%402812000.7800000031
7Kasper BjorkqvistAdmirals (Nas)RW30152035-14140532682325618.29%1151617.224599541011102153.13%32199011.3600000130
8Andreas EnglundAdmirals (Nas)D4842630-78060916024196.67%105116724.32178101260002151100.00%0933000.5100000002
9Lucas WallmarkAdmirals (Nas)C5192029-860467390215610.00%2077315.161233500006871054.12%5712218000.7501000200
10Nolan VeseyAdmirals (Nas)LW5319726-6320832177194924.68%1064512.181012270001121339.13%23119000.8100000120
11T.J BrodieAdmirals (Nas)D5342226-234053798427314.76%56106220.0512341020113123010.00%02728000.4900000003
12Riley BarberAdmirals (Nas)RW53111324280483766274916.67%114708.88000030001443153.85%391812001.0200000211
13Josh NorrisAdmirals (Nas)C4991423-4240553331102629.03%1972514.814596800000280138.88%92654000.6300000000
14Brett ConnollyAdmirals (Nas)RW407916-1180381864232810.94%541210.3200003000020055.56%18109000.7800000001
15Freddie HamiltonAdmirals (Nas)C466814-134036336613389.09%1647010.2300006000150051.34%187165000.6000000000
16Mattias BackmanAdmirals (Nas)D4721012220031412610147.69%4872915.51123363000261000.00%0228000.3300000000
17Reilly WalshAdmirals (Nas)D53189-1120135119285.26%3960911.5010127000073000.00%0217000.3000000000
18Connor MurphyPredatorsD19066400162218650.00%1124913.1100002000113000.00%0310000.4800000000
19Kristian VesalainenAdmirals (Nas)LW33336-322027151641018.75%62888.7300000000000040.00%502000.4200000010
20Olli JuoleviAdmirals (Nas)D53156-420028332214104.55%3766212.50112576000119000.00%0810000.1800000000
21Christian DjoosAdmirals (Nas)D42055380222312890.00%194009.54000218000035000.00%0217000.2500000000
22Joni IkonenAdmirals (Nas)C202132001643350.00%1934.6700001000010026.67%3000000.6400000000
23Ian MitchellAdmirals (Nas)D53123-914053114677.14%955410.4611226500008000.00%036000.1100000000
24Carl DahlstromAdmirals (Nas)D37112060171974414.29%193519.5000009000015000.00%0213000.1100000000
25Josh WesleyAdmirals (Nas)D4011200252000.00%2389.620000000000000.00%001000.5200000000
26Alexandre MalletAdmirals (Nas)LW4000100310000.00%0369.250000000003000.00%001000.00%00000000
27Mark MacMillanAdmirals (Nas)RW4000000110030.00%051.270000000000000.00%100000.00%00000000
28Ryan OlsenAdmirals (Nas)C4000100042100.00%1328.2100000000000077.78%920000.00%00000000
29Stanislav GalievAdmirals (Nas)RW6000000000000.00%030.620000000001000.00%000000.00%00000000
30Carsen TwarynskiAdmirals (Nas)LW16000020296020.00%11056.580000000000000.00%000000.00%00000000
Team Total or Average1111213358571-54388010911070169949088312.54%6311595414.3643711141651407347421200201148.83%3254352370170.72915000192619
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
1Tristan JarryAdmirals (Nas)40161920.8784.072050001391136567220.667123617102
2Felix SanstromAdmirals (Nas)257800.8754.5610932083663346111.00021632102
3Linus UllmarkAdmirals (Nas)11000.8575.00600053521000.00%014000
Team Total or Average66242720.8764.25320320227183493433145353204


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 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
Alexandre MalletAdmirals (Nas)LW251992-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
Andreas EnglundAdmirals (Nas)D211996-01-01Yes189 Lbs6 ft3NoNoNo1Pro & Farm750,000$243,932$0$0$NoLink
Anton GustafssonAdmirals (Nas)C271990-01-01No193 Lbs6 ft2NoNoNo1Pro & Farm800,000$260,194$0$0$No
Brett ConnollyAdmirals (Nas)RW251992-01-01No181 Lbs6 ft2NoNoNo1Pro & Farm725,000$235,801$0$0$No
Carl DahlstromAdmirals (Nas)D221995-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Carsen TwarynskiAdmirals (Nas)LW201997-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Christian DjoosAdmirals (Nas)D231994-01-01Yes158 Lbs5 ft11NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$
Felix SanstromAdmirals (Nas)G201997-01-01No191 Lbs6 ft2NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Filip ChlapikAdmirals (Nas)C201997-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Freddie HamiltonAdmirals (Nas)C251992-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$227,670$0$0$No
Hunter ShinkarukAdmirals (Nas)LW231994-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm575,000$187,015$0$0$NoLink
Ian MitchellAdmirals (Nas)D181999-01-01Yes173 Lbs5 ft11NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Joel ArmiaAdmirals (Nas)RW241993-01-01Yes205 Lbs6 ft3NoNoNo2Pro & Farm750,000$243,932$0$0$No900,000$
Joni IkonenAdmirals (Nas)C181999-01-01Yes171 Lbs5 ft10NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Josh NorrisAdmirals (Nas)C181999-01-01Yes199 Lbs6 ft1NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Josh WesleyAdmirals (Nas)D211996-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm650,000$211,408$0$0$NoLink
Kasper BjorkqvistAdmirals (Nas)RW231994-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Kristian VesalainenAdmirals (Nas)LW181999-01-01Yes207 Lbs6 ft3NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Libor HajekAdmirals (Nas)D191998-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Linus UllmarkAdmirals (Nas)G241993-01-01No198 Lbs6 ft3NoNoNo1Pro & Farm750,000$243,932$0$0$NoLink
Lucas WallmarkAdmirals (Nas)C221995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm575,000$187,015$0$0$NoLink
Mark MacMillanAdmirals (Nas)RW251992-01-01No172 Lbs6 ft0NoNoNo1Pro & Farm600,000$195,146$0$0$No
Mark McNeillAdmirals (Nas)RW241993-01-01Yes212 Lbs6 ft2NoNoNo2Pro & Farm750,000$243,932$0$0$No900,000$
Markus GranlundAdmirals (Nas)LW241993-01-01Yes178 Lbs6 ft0NoNoNo2Pro & Farm750,000$243,932$0$0$No900,000$
Mattias BackmanAdmirals (Nas)D251992-01-01No180 Lbs6 ft2NoNoNo2Pro & Farm750,000$243,932$0$0$No750,000$
Nolan VeseyAdmirals (Nas)LW221995-01-01Yes210 Lbs6 ft2NoNoNo2Pro & Farm760,000$247,184$0$0$No795,000$Link
Olli JuoleviAdmirals (Nas)D191998-01-01Yes183 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Reilly WalshAdmirals (Nas)D181999-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Riley BarberAdmirals (Nas)RW231994-01-01Yes194 Lbs5 ft11NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Ryan OlsenAdmirals (Nas)C231994-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Sergei ZborovskiyAdmirals (Nas)D201997-01-01Yes194 Lbs6 ft4NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
Stanislav GalievAdmirals (Nas)RW251992-01-01No187 Lbs6 ft1NoNoNo1Pro & Farm600,000$195,146$0$0$No
T.J BrodieAdmirals (Nas)D271990-01-01No182 Lbs6 ft1NoNoNo1Pro & Farm800,000$260,194$0$0$No
Travis DermottAdmirals (Nas)D211996-01-01Yes205 Lbs6 ft0NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Tristan JarryAdmirals (Nas)G221995-01-01No185 Lbs6 ft2NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Troy BourkeAdmirals (Nas)LW231994-01-01Yes156 Lbs5 ft10NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3622.14189 Lbs6 ft11.53634,306$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Markus GranlundAnton GustafssonKasper Bjorkqvist40122
2Hunter ShinkarukJosh NorrisJoel Armia30122
3Nolan VeseyLucas WallmarkMark McNeill20122
4Kristian VesalainenFreddie HamiltonRiley Barber10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundTravis Dermott40122
2Reilly WalshOlli Juolevi30122
3T.J BrodieIan Mitchell20122
4Carl DahlstromMattias Backman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Markus GranlundJosh NorrisJoel Armia60113
2Hunter ShinkarukAnton GustafssonKasper Bjorkqvist40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundTravis Dermott60122
2T.J BrodieIan Mitchell40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lucas WallmarkMark McNeill60122
2Anton GustafssonRiley Barber40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundTravis Dermott60131
2Reilly WalshT.J Brodie40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mark McNeill60122Andreas EnglundTravis Dermott60131
2Lucas Wallmark40122Reilly WalshT.J Brodie40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh NorrisMarkus Granlund60122
2Anton GustafssonJoel Armia40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundTravis Dermott60122
2T.J BrodieOlli Juolevi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Markus GranlundJosh NorrisJoel ArmiaOlli JuoleviTravis Dermott
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Markus GranlundAnton GustafssonMark McNeillAndreas EnglundReilly Walsh
Extra Forwards
Normal PowerPlayPenalty Kill
Brett Connolly, Kasper Bjorkqvist, Riley BarberBrett Connolly, Freddie HamiltonMarkus Granlund
Extra Defensemen
Normal PowerPlayPenalty Kill
Mattias Backman, Reilly Walsh, Ian MitchellOlli JuoleviCarl Dahlstrom, Mattias Backman
Penalty Shots
Markus Granlund, Anton Gustafsson, Hunter Shinkaruk, Joel Armia, Riley Barber
Goalie
#1 : Felix Sanstrom, #2 : Tristan Jarry


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
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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
1Barracuda2010001079-21010000036-31000001043120.500781500617575116353859653525652018478337.50%9277.78%0541112348.17%616121650.66%43291547.21%10986061158493954477
2Bears20200000511-61010000047-31010000014-300.00057120061757511565385965352558192245300.00%11281.82%0541112348.17%616121650.66%43291547.21%10986061158493954477
3Comets211000008801010000046-21100000042220.5008142200617575117353859653525701312326116.67%6350.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
4Condors20200000411-71010000017-61010000034-100.000481200617575116453859653525713022488112.50%11463.64%0541112348.17%616121650.66%43291547.21%10986061158493954477
5Crunch11000000321000000000001100000032121.0003580061757511295385965352528171020300.00%50100.00%1541112348.17%616121650.66%43291547.21%10986061158493954477
6Devils513010001824-620200000511-6311010001313040.4001830481061757511162538596535251734930919222.22%15846.67%0541112348.17%616121650.66%43291547.21%10986061158493954477
7Eagles11000000633110000006330000000000021.0006101600617575113453859653525376424200.00%20100.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
8Griffins3110001012932010001078-11100000051440.6671220320061757511114538596535258933146417211.76%7271.43%0541112348.17%616121650.66%43291547.21%10986061158493954477
9Heat1010000047-3000000000001010000047-300.000461000617575112853859653525301010223133.33%5260.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
10Icehogs312000001117-61100000082620200000315-1220.33311193000617575111015385965352510331206712325.00%10370.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
11Little Stars210000101147100000104311100000071641.00011182900617575118353859653525812516307114.29%9188.89%1541112348.17%616121650.66%43291547.21%10986061158493954477
12Marlies412001001314-1311001009721010000047-330.37513223500617575111185385965352514637347512325.00%17476.47%0541112348.17%616121650.66%43291547.21%10986061158493954477
13Monsters220000001073110000006421100000043141.00010172700617575115153859653525753412398112.50%6183.33%1541112348.17%616121650.66%43291547.21%10986061158493954477
14Moose11000000523110000005230000000000021.00057120061757511325385965352546206243133.33%3166.67%0541112348.17%616121650.66%43291547.21%10986061158493954477
15Penguins11000000523110000005230000000000021.00057120061757511315385965352521124145240.00%2150.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
16Phantoms1010000057-21010000057-20000000000000.00057120061757511265385965352542124165240.00%20100.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
17Punishers1010000067-1000000000001010000067-100.00061016006175751132538596535254392184250.00%10100.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
18Rampage2020000058-31010000034-11010000024-200.0005813006175751166538596535255331184210220.00%9366.67%0541112348.17%616121650.66%43291547.21%10986061158493954477
19Reign1010000046-2000000000001010000046-200.0004711006175751130538596535253718616400.00%30100.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
20Rocket3210000019172211000001112-11100000085340.66719315010617575111095385965352511042205710330.00%11281.82%0541112348.17%616121650.66%43291547.21%10986061158493954477
21Senators73300010312743200001019127413000001215-380.571314879006175751120153859653525239816416124625.00%32584.38%0541112348.17%616121650.66%43291547.21%10986061158493954477
22Sound Tigers11000000422110000004220000000000021.00046100061757511275385965352538198233133.33%40100.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
23Thunderbirds20100001912-31000000167-11010000035-210.2509152400617575116453859653525722516472150.00%8187.50%0541112348.17%616121650.66%43291547.21%10986061158493954477
24Wolfpack1010000035-21010000035-20000000000000.000358106175751132538596535253574195240.00%2150.00%0541112348.17%616121650.66%43291547.21%10986061158493954477
25Wolves20101000910-1100010006511010000035-220.5009172600617575115553859653525752014345360.00%7357.14%0541112348.17%616121650.66%43291547.21%10986061158493954477
Total53182702141217231-14281012011311241222258150101093109-16500.4722173525693061757511168153859653525183762039010751784324.16%1974975.13%3541112348.17%616121650.66%43291547.21%10986061158493954477
_Since Last GM Reset53182702141217231-14281012011311241222258150101093109-16500.4722173525693061757511168153859653525183762039010751784324.16%1974975.13%3541112348.17%616121650.66%43291547.21%10986061158493954477
_Vs Conference30111500130125133-8167600120746771449000105166-15290.48312520032510617575119375385965352510533682306361142622.81%1162677.59%1541112348.17%616121650.66%43291547.21%10986061158493954477
_Vs Division1265000105251154000010331815725000001933-14140.583528413600617575113535385965352541714696267441022.73%48981.25%1541112348.17%616121650.66%43291547.21%10986061158493954477

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5350SOL121735256916811837620390107530
All Games
GPWLOTWOTL SOWSOLGFGA
5318272141217231
Home Games
GPWLOTWOTL SOWSOLGFGA
2810121131124122
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25815101093109
Last 10 Games
WLOTWOTL SOWSOL
170011
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1784324.16%1974975.13%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5385965352561757511
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
541112348.17%616121650.66%43291547.21%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10986061158493954477


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 - 2022-10-288Senators4Admirals5BWBoxScore
4 - 2022-10-3019Admirals2Senators3ALBoxScore
6 - 2022-11-0129Admirals2Icehogs7ALR1BoxScore
9 - 2022-11-0445Monsters4Admirals6BWR1BoxScore
12 - 2022-11-0759Icehogs2Admirals8BWBoxScore
14 - 2022-11-0972Admirals4Monsters3AWR1BoxScore
16 - 2022-11-1186Griffins7Admirals5BLBoxScore
17 - 2022-11-1288Admirals6Devils5AWBoxScore
21 - 2022-11-16114Senators6Admirals7BWXXBoxScore
23 - 2022-11-18125Admirals4Senators5ALBoxScore
26 - 2022-11-21143Marlies1Admirals5BWBoxScore
30 - 2022-11-25158Devils4Admirals3BLBoxScore
32 - 2022-11-27169Admirals1Icehogs8ALR1BoxScore
34 - 2022-11-29179Admirals4Devils3AWXBoxScore
36 - 2022-12-01190Marlies2Admirals1BLXBoxScore
38 - 2022-12-03203Admirals5Senators2AWBoxScore
42 - 2022-12-07220Rampage4Admirals3BLBoxScore
44 - 2022-12-09228Admirals3Devils5ALBoxScore
46 - 2022-12-11240Admirals2Rampage4ALBoxScore
48 - 2022-12-13251Wolves5Admirals6BWXBoxScore
52 - 2022-12-17268Senators2Admirals7BWBoxScore
55 - 2022-12-20282Admirals4Heat7ALBoxScore
58 - 2022-12-23298Marlies4Admirals3BLBoxScore
60 - 2022-12-25307Admirals1Senators5ALBoxScore
63 - 2022-12-28321Sound Tigers2Admirals4BWBoxScore
66 - 2022-12-31338Admirals1Bears4ALBoxScore
68 - 2023-01-02349Condors7Admirals1BLBoxScore
72 - 2023-01-06370Moose2Admirals5BWBoxScore
76 - 2023-01-10388Admirals6Punishers7ALBoxScore
77 - 2023-01-11400Phantoms7Admirals5BLBoxScore
81 - 2023-01-15416Admirals7Little Stars1AWBoxScore
82 - 2023-01-16425Bears7Admirals4BLBoxScore
86 - 2023-01-20446Eagles3Admirals6BWBoxScore
91 - 2023-01-25471Penguins2Admirals5BWBoxScore
93 - 2023-01-27481Admirals3Wolves5ALBoxScore
95 - 2023-01-29491Admirals3Crunch2AWBoxScore
96 - 2023-01-30499Rocket8Admirals6BLBoxScore
99 - 2023-02-02514Admirals5Griffins1AWBoxScore
101 - 2023-02-04522Admirals4Comets2AWBoxScore
102 - 2023-02-05530Griffins1Admirals2BWXXBoxScore
105 - 2023-02-08549Devils7Admirals2BLBoxScore
109 - 2023-02-12571Admirals4Barracuda3AWXXBoxScore
110 - 2023-02-13578Rocket4Admirals5BWBoxScore
115 - 2023-02-18601Wolfpack5Admirals3BLBoxScore
117 - 2023-02-20610Admirals4Marlies7ALBoxScore
121 - 2023-02-24626Admirals3Thunderbirds5ALBoxScore
122 - 2023-02-25631Little Stars3Admirals4BWXXBoxScore
126 - 2023-03-01654Comets6Admirals4BLBoxScore
128 - 2023-03-03666Admirals8Rocket5AWBoxScore
130 - 2023-03-05675Admirals3Condors4ALBoxScore
131 - 2023-03-06684Barracuda6Admirals3BLBoxScore
135 - 2023-03-10704Admirals4Reign6ALBoxScore
136 - 2023-03-11710Thunderbirds7Admirals6BLXXBoxScore
140 - 2023-03-15731Monsters-Admirals-
142 - 2023-03-17743Admirals-Phantoms-
145 - 2023-03-20756Admirals-Reign-
146 - 2023-03-21760Monsters-Admirals-
151 - 2023-03-26783Icehogs-Admirals-
153 - 2023-03-28797Admirals-Moose-
155 - 2023-03-30810Crunch-Admirals-
159 - 2023-04-03826Admirals-Wolfpack-
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2023-04-05835Punishers-Admirals-
163 - 2023-04-07843Admirals-Monsters-
166 - 2023-04-10862Heat-Admirals-
167 - 2023-04-11866Admirals-Sound Tigers-
170 - 2023-04-14881Admirals-Condors-
171 - 2023-04-15889Little Stars-Admirals-
174 - 2023-04-18899Admirals-Penguins-
176 - 2023-04-20913Icehogs-Admirals-
178 - 2023-04-22920Admirals-Icehogs-
183 - 2023-04-27941Barracuda-Admirals-
184 - 2023-04-28950Admirals-Comets-
187 - 2023-05-01966Heat-Admirals-
190 - 2023-05-04978Admirals-Barracuda-
192 - 2023-05-06986Admirals-Moose-
194 - 2023-05-08995Reign-Admirals-
197 - 2023-05-111008Admirals-Phantoms-
202 - 2023-05-161020Thunderbirds-Admirals-
203 - 2023-05-171029Admirals-Monsters-
205 - 2023-05-191039Admirals-Eagles-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance52,89225,958
Attendance PCT94.45%92.71%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
12 2816 - 93.87% 84,022$2,352,617$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,082,915$ 2,283,500$ 2,098,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,085$ 1,501,251$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,008,264$ 67 15,211$ 1,019,137$




Admirals Stat Leaders (Regular Season)

# 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

Admirals Goalies Stat Leaders (Regular Season)

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

Admirals Career Team Stats

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

Admirals Stat Leaders (Play-Off)

# 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

Admirals Goalies Stat Leaders (Play-Off)

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