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Admirals
GP: 17 | W: 9 | L: 5 | OTL: 3 | P: 21
GF: 71 | GA: 67 | PP%: 20.00% | PK%: 80.65%
GM : Dany Potvin | Morale : 40 | Team Overall : 63
Next Games #215 vs Senators

Game Center
Admirals
9-5-3, 21pts
5
3 Condors
5-10-1, 11pts
Team Stats
SOL1StreakL3
4-2-2Home Record3-4-1
5-3-1Home Record2-6-0
5-3-2Last 10 Games3-6-1
4.18Goals Per Game3.31
3.94Goals Against Per Game4.06
20.00%Power Play Percentage12.00%
80.65%Penalty Kill Percentage80.00%
Roadrunners
7-7-2, 16pts
6
5 Admirals
9-5-3, 21pts
Team Stats
SOW1StreakSOL1
4-4-0Home Record4-2-2
3-3-2Home Record5-3-1
4-5-1Last 10 Games5-3-2
3.75Goals Per Game4.18
4.38Goals Against Per Game3.94
27.78%Power Play Percentage20.00%
87.27%Penalty Kill Percentage80.65%
Admirals
9-5-3, 21pts
Day 35
Senators
11-4-1, 23pts
Team Stats
SOL1StreakW2
4-2-2Home Record5-3-0
5-3-1Away Record6-1-1
5-3-2Last 10 Games6-4-0
4.18Goals Per Game5.25
3.94Goals Against Per Game5.25
20.00%Power Play Percentage28.87%
80.65%Penalty Kill Percentage69.81%
Admirals
9-5-3, 21pts
Day 36
Americans
9-7-0, 18pts
Team Stats
SOL1StreakW1
4-2-2Home Record4-4-0
5-3-1Away Record5-3-0
5-3-2Last 10 Games8-2-0
4.18Goals Per Game4.50
3.94Goals Against Per Game4.50
20.00%Power Play Percentage16.67%
80.65%Penalty Kill Percentage78.57%
Senators
11-4-1, 23pts
Day 39
Admirals
9-5-3, 21pts
Team Stats
W2StreakSOL1
5-3-0Home Record4-2-2
6-1-1Away Record5-3-1
6-4-0Last 10 Games5-3-2
5.25Goals Per Game4.18
4.31Goals Against Per Game4.18
28.87%Power Play Percentage20.00%
69.81%Penalty Kill Percentage80.65%
Team Leaders
Goals
Joel Armia
12
Assists
Joel Armia
19
Points
Joel Armia
31
Plus/Minus
Joel Armia
13
Wins
Zachary Emond
5
Save Percentage
Zachary Emond
0.913

Team Stats
Goals For
71
4.18 GFG
Shots For
578
34.00 Avg
Power Play Percentage
20.0%
8 GF
Offensive Zone Start
35.2%
Goals Against
67
3.94 GAA
Shots Against
593
34.88 Avg
Penalty Kill Percentage
80.6%%
12 GA
Defensive Zone Start
36.6%
Team Info

General ManagerDany Potvin
CoachWayne Gretzky
DivisionJohn-Ahearne
ConferenceRobert-Lebel
CaptainJoel Armia
Assistant #1Lucas Wallmark
Assistant #2


Arena Info

Capacity3,000
Attendance2,739
Season Tickets300


Roster Info

Pro Team37
Farm Team19
Contract Limit56 / 250
Prospects0


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
1Joel Armia (C)X100.007733828081707677778080657265573441750271975,000$
2Lucas Wallmark (A)X100.006432817677767875847769726963533744720251900,000$
3Kasper BjorkqvistX100.007039787769787479819070546457513739720261900,000$
4Josh Norris (R)X100.006931817274797573696286567658465344700212900,000$
5Nolan VeseyX100.008037757872607879667669616452523330700251850,000$
6Gerald MayhewX100.005843806867698475756578607463583229690281750,000$
7Pavol Regenda (R)X100.007347796867726473706869606651465544670213800,000$
8Jack Quinn (R)X100.006839825072696772697274426941427944640192500,000$
9Carsen Twarynski (R)X100.004939876563816355607563715745473531640233500,000$
10Milos Kelemen (R)X100.006323706183667071756472506646465842640214700,000$
11Gage Goncalves (R)X100.005737736758654872616157536643416944600192500,000$
12Theo Rochette (R)X100.004222705940516259726759375340407333540182500,000$
13Reilly Walsh (R)X100.006933857572727168517862855964464934730211950,000$
14Olli Juolevi (R)X100.007532798672667185487762755863484847730221700,000$
15Ian Mitchell (R)X100.006034817969666879508267745158465534700212850,000$
16Sean Durzi (R)X100.006239837857666781377562674647465444670223900,000$
17Josh Wesley (R)X100.005839856669677060457059744948503544660242700,000$
18Tobias Bjornfot (R)X100.005330737955637274448357694747426744650191500,000$
19Matt Kessel (R)X100.005839905663606856286841794644445744640202500,000$
20Sergei Zborovskiy (R)X100.005732817070646557325641765447473934630233700,000$
Scratches
1Filip Chlapik (R)X100.006538715869586163755972555645453830620233500,000$
2Bokondji Imama (R)X100.008056694879516962626165466346463025600242500,000$
3Ruslan Iskhakov (R)X100.005943636768655564556364455743436031590204500,000$
4Mark Kastelic (R)X100.007339635978516963565565535843434830590211500,000$
5Brandon Coe (R)X100.006321604466505259605371365340406523540182500,000$
6Maxim Groshev (R)X100.005932646153525055605349495240406926530182500,000$
7Dylan Peterson (R)X100.005836625562465763464958464240407539530182500,000$
8Ty Smilanic (R)X100.005545665657516150575152516340407934530182500,000$
9Jack Malone (R)X100.004738625154585643616158485543435223530201500,000$
10Patrick Moynihan (R)X100.005135614955454852554848396741416423490191500,000$
11Carl DahlstromX87.077318836662617463467065805854543431680251800,000$
12Grant HuttonX100.008251586965655651417159624255563327650251600,000$
13Libor Hajek (R)X100.006644776464596261385647675344443725620224500,000$
14Henry Thrun (R)X100.006837665653645757356054634641416723590191500,000$
TEAM AVERAGE99.62643674656663656557666259584946513563
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 SPAgeContractSalary
1Tristan Jarry97.00747575686676726456766663533546680251800,000$
2Zachary Emond99.00375047545754505265514242424846530202650,000$
Scratches
1Alexis Gravel100.00584461594951604549485542424828520202650,000$
TEAM AVERAGE98.6756566160576061545758544946444058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wayne Gretzky70628291526855Can673800,000$


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
1Joel ArmiaAdmirals (Nas)RW171219311360212387193213.79%1337922.323258331013493050.94%53229011.6322000501
2Lucas WallmarkAdmirals (Nas)C179817-240263156182716.07%932719.252354250110450245.13%42174011.0401000123
3Olli JuoleviAdmirals (Nas)D1711415-231525254021182.50%2836621.54022227000141000%01013000.8200100000
4Josh NorrisAdmirals (Nas)C177714780313038102118.42%632419.100002290001290050.14%35165000.8601000020
5Ian MitchellAdmirals (Nas)D1721214128014323810185.26%2539223.08000232011051010%0910000.7100000011
6Pavol RegendaAdmirals (Nas)LW176713340222145182413.33%526915.82000120000151041.67%1241000.9700000110
7Hunter ShinkarukPredatorsLW13571214024193583614.29%426320.241564231012291162.50%2494000.9101000001
8Reilly WalshAdmirals (Nas)D171111211100263025994.00%3440423.77112534000153000%0721000.5900000001
9Nolan VeseyAdmirals (Nas)LW10571258015629141717.24%515415.450221120001111057.14%1430001.5500000200
10Gage GoncalvesAdmirals (Nas)C1744841009141811122.22%519411.4100005000020048.04%10233000.8200000001
11Sean DurziAdmirals (Nas)D1708876092116530%1821212.48000111000011000%009000.7500000011
12Kasper BjorkqvistAdmirals (Nas)RW14448-62016144110239.76%918313.07000110000041075.00%490000.8701000101
13Tobias BjornfotAdmirals (Nas)D17347-9100915208515.00%1523613.891011900008010%024000.5900000000
14Milos KelemenAdmirals (Nas)LW16336-46012101971015.79%417711.0800002000000057.14%731000.6800000000
15Josh WesleyAdmirals (Nas)D17134-1404791711.11%1017610.350000000005000%004000.4500000000
16Jack QuinnAdmirals (Nas)RW17213-1202391861011.11%424714.59000015000171185.71%752000.2401000100
17Matt KesselAdmirals (Nas)D170221002106210%41186.9800001000024000%007000.3400000000
18Carl DahlstromAdmirals (Nas)D6022120664130%59215.410000400008000%004000.4300000000
19Filip ChlapikAdmirals (Nas)C5112-1404541525.00%05511.1600000000000040.91%2200000.7200000000
20Ty SmilanicAdmirals (Nas)LW61121002331233.33%2518.530000000006000%102000.7800000000
21Gerald MayhewAdmirals (Nas)RW520200055133515.38%25811.7600001000000020.00%520000.6800000000
22Ruslan IskhakovAdmirals (Nas)C5101-1202260216.67%0418.2300000000000044.44%920000.4900000000
23Sergei ZborovskiyAdmirals (Nas)D910100000101100.00%1364.090000000001100%001000.5400000010
24Carsen TwarynskiAdmirals (Nas)LW7011220531020%2679.660000000009000%112000.3000000000
25Bokondji ImamaAdmirals (Nas)LW2000000000000%0105.140000000002000%00000000000000
26Maxim GroshevAdmirals (Nas)RW2000-100010000%1168.480000000000000%00100000000000
27Theo RochetteAdmirals (Nas)C7000120433140%0557.9000000000000038.46%130000000000000
28Dylan PetersonAdmirals (Nas)RW11000420433230%2928.420000000000000%20100000000000
29Grant HuttonAdmirals (Nas)D4000-140010000%0205.210000000000000%00000000000000
30Libor HajekAdmirals (Nas)D2000000000000%000.080000000000000%00000000000000
31Mark KastelicAdmirals (Nas)C5000000000000%020.540000000001000%10000000000000
Team Total or Average3507112619744141532034957817629912.28%213502814.378152332302224114109647.86%1049104108020.782710011810
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
1Zachary EmondAdmirals (Nas)55000.9132.8030000141601000000512000
2Tristan JarryAdmirals (Nas)124530.8824.197310051433218100.4297125110
Team Total or Average179530.8903.78103100655933181071717110


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alexis GravelAdmirals (Nas)G202000-01-01CANNo219 Lbs6 ft3NoNoFree AgentNoNo22025-11-05FalseFalsePro & Farm650,000$523,077$0$0$No650,000$--------650,000$--------No--------Link
Bokondji ImamaAdmirals (Nas)LW241996-01-01CANYes221 Lbs6 ft1NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------Link
Brandon CoeAdmirals (Nas)RW182002-01-01CANYes188 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Carl Dahlstrom (Out of Payroll)Admirals (Nas)D251995-01-01SWENo185 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm800,000$643,787$0$0$Yes---------------------------Link
Carsen TwarynskiAdmirals (Nas)LW231997-01-01CANYes198 Lbs6 ft2NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm500,000$402,367$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Dylan PetersonAdmirals (Nas)RW182002-01-01USAYes192 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Filip ChlapikAdmirals (Nas)C231997-01-01CZEYes194 Lbs6 ft2NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm500,000$402,367$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Gage GoncalvesAdmirals (Nas)C192001-01-01CANYes184 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Gerald MayhewAdmirals (Nas)RW281992-01-01USANo161 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$603,550$0$0$No---------------------------Link
Grant HuttonAdmirals (Nas)D251995-01-01USANo207 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm600,000$482,840$0$0$No---------------------------Link
Henry ThrunAdmirals (Nas)D192001-01-01CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Ian MitchellAdmirals (Nas)D211999-01-01CANYes173 Lbs5 ft11NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm850,000$684,024$0$0$No850,000$--------850,000$--------No--------Link
Jack MaloneAdmirals (Nas)RW202000-01-01USAYes190 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Jack QuinnAdmirals (Nas)RW192001-01-01CANYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Joel ArmiaAdmirals (Nas)RW271993-01-01FINNo205 Lbs6 ft3NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm975,000$784,615$0$0$No---------------------------Link
Josh NorrisAdmirals (Nas)C211999-01-01USAYes199 Lbs6 ft1NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm900,000$724,260$0$0$No900,000$--------900,000$--------No--------Link
Josh WesleyAdmirals (Nas)D241996-01-01USAYes201 Lbs6 ft3NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm700,000$563,314$0$0$No700,000$--------700,000$--------No--------Link
Kasper BjorkqvistAdmirals (Nas)RW261994-01-01FINNo194 Lbs6 ft2NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm900,000$724,260$0$0$No---------------------------Link
Libor HajekAdmirals (Nas)D221998-01-01CZEYes205 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm500,000$402,367$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link
Lucas WallmarkAdmirals (Nas)C251995-01-01SWENo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$724,260$0$0$No---------------------------Link
Mark KastelicAdmirals (Nas)C211999-01-01USAYes227 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Matt KesselAdmirals (Nas)D202000-01-01USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Maxim GroshevAdmirals (Nas)RW182002-01-01RUSYes194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Milos KelemenAdmirals (Nas)LW211999-01-01SVKYes210 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm700,000$563,314$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Link
Nolan VeseyAdmirals (Nas)LW251995-01-01USANo210 Lbs6 ft2NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm850,000$684,024$0$0$No---------------------------Link
Olli JuoleviAdmirals (Nas)D221998-01-01FINYes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$563,314$0$0$No---------------------------Link
Patrick MoynihanAdmirals (Nas)RW192001-01-01CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Pavol RegendaAdmirals (Nas)LW211999-01-01SVKYes212 Lbs6 ft4NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm800,000$643,787$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link
Reilly WalshAdmirals (Nas)D211999-01-01CANYes185 Lbs6 ft0NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm950,000$764,497$0$0$No---------------------------Link
Ruslan IskhakovAdmirals (Nas)C202000-01-01RUSYes165 Lbs5 ft9NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm500,000$402,367$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link
Sean DurziAdmirals (Nas)D221998-01-01CANYes195 Lbs6 ft0NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm900,000$724,260$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Sergei ZborovskiyAdmirals (Nas)D231997-01-01RUSYes194 Lbs6 ft4NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm700,000$563,314$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Link
Theo RochetteAdmirals (Nas)C182002-01-01CHEYes172 Lbs5 ft10NoNoTrade2025-11-06NoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Tobias BjornfotAdmirals (Nas)D192001-01-01SWEYes201 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Tristan JarryAdmirals (Nas)G251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm800,000$643,787$0$0$No---------------------------Link
Ty SmilanicAdmirals (Nas)LW182002-01-01USAYes175 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Zachary EmondAdmirals (Nas)G202000-01-01CANNo165 Lbs6 ft3NoNoFree AgentNoNo22025-11-05FalseFalsePro & Farm650,000$523,077$0$0$No650,000$--------650,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3721.62193 Lbs6 ft21.89650,676$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nolan VeseyJosh NorrisJoel Armia40122
2Pavol RegendaGage GoncalvesGerald Mayhew30122
3Milos KelemenLucas WallmarkJack Quinn20122
4Carsen TwarynskiTheo RochetteKasper Bjorkqvist10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell40122
2Olli JuoleviTobias Bjornfot30122
3Josh WesleySean Durzi20122
4Matt KesselSergei Zborovskiy10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nolan VeseyJosh NorrisJoel Armia60113
2Pavol RegendaGage GoncalvesGerald Mayhew40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell60122
2Olli JuoleviTobias Bjornfot40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lucas WallmarkJoel Armia60122
2Josh NorrisCarsen Twarynski40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell60122
2Olli JuoleviMatt Kessel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joel Armia60122Reilly WalshIan Mitchell60131
2Lucas Wallmark40122Olli JuoleviMatt Kessel40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh NorrisJoel Armia60122
2Lucas WallmarkGerald Mayhew40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell60122
2Olli JuoleviTobias Bjornfot40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nolan VeseyLucas WallmarkJoel ArmiaReilly WalshIan Mitchell
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nolan VeseyLucas WallmarkJoel ArmiaReilly WalshIan Mitchell
Extra Forwards
Normal PowerPlayPenalty Kill
Lucas Wallmark, Jack Quinn, Kasper BjorkqvistLucas Wallmark, Jack QuinnCarsen Twarynski
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Wesley, Sean Durzi, Matt KesselSean DurziJosh Wesley, Sergei Zborovskiy
Penalty Shots
Joel Armia, Jack Quinn, Josh Norris, Lucas Wallmark, Nolan Vesey
Goalie
#1 : Tristan Jarry, #2 : Zachary Emond
Custom OT Lines Forwards
Joel Armia, Lucas Wallmark, Nolan Vesey, Josh Norris, Pavol Regenda, Kasper Bjorkqvist, Jack Quinn, Milos Kelemen, Gage Goncalves, Carsen Twarynski
Custom OT Lines Defensemen
Olli Juolevi, Reilly Walsh, Ian Mitchell, Tobias Bjornfot, Sean Durzi


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
1Americans11000000826000000000001100000082621.000814220029261532820319017814331623144125.00%40100.00%118636650.82%17838146.72%13829347.10%361206363155306149
2Bears402010011017-720200000512-72000100155030.375101626002926153126203190178141315128924125.00%14285.71%018636650.82%17838146.72%13829347.10%361206363155306149
3Comets1010000068-2000000000001010000068-200.00061016002926153392031901781447124242150.00%2150.00%018636650.82%17838146.72%13829347.10%361206363155306149
4Condors54100000181533300000011652110000079-280.8001833510029261531782031901781417266309118422.22%15193.33%018636650.82%17838146.72%13829347.10%361206363155306149
5Icehogs11000000835000000000001100000083521.00081624002926153442031901781426146214125.00%2150.00%018636650.82%17838146.72%13829347.10%361206363155306149
6Roadrunners20100001710-31000000156-11010000024-210.25071320002926153652031901781479152033300.00%10460.00%018636650.82%17838146.72%13829347.10%361206363155306149
7Senators1000010056-11000010056-10000000000010.5005712002926153302031901781428151415300.00%7271.43%018636650.82%17838146.72%13829347.10%361206363155306149
8Thunderbirds22000000963110000004311100000053241.00091726002926153682031901781477241630200.00%8187.50%118636650.82%17838146.72%13829347.10%361206363155306149
Total17850110271674842001013033-39430100141347210.618711261970029261535782031901781459321314132040820.00%621280.65%218636650.82%17838146.72%13829347.10%361206363155306149
_Since Last GM Reset17850110271674842001013033-39430100141347210.618711261970029261535782031901781459321314132040820.00%621280.65%218636650.82%17838146.72%13829347.10%361206363155306149
_Vs Conference16840110265596842001013033-38420100135269210.656651161810029261535392031901781454620113729638718.42%601181.67%218636650.82%17838146.72%13829347.10%361206363155306149
_Vs Division1163010013738-1642000002021-15210100117170150.6823766103002926153372203190178143801417421324520.83%37489.19%118636650.82%17838146.72%13829347.10%361206363155306149

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1721SOL17112619757859321314132000
All Games
GPWLOTWOTL SOWSOLGFGA
178511027167
Home Games
GPWLOTWOTL SOWSOLGFGA
84201013033
Visitor Games
GPWLOTWOTL SOWSOLGFGA
94310014134
Last 10 Games
WLOTWOTL SOWSOL
530101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
40820.00%621280.65%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
203190178142926153
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18636650.82%17838146.72%13829347.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
361206363155306149


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
29Admirals4Bears3WXBox score
321Bears5Admirals1LBox score
532Admirals6Comets8LBox score
745Condors3Admirals6WBox score
850Admirals1Bears2LXXBox score
1170Thunderbirds3Admirals4WBox score
1383Admirals8Icehogs3WR1Box score
1492Admirals2Condors6LBox score
17104Bears7Admirals4LBox score
18113Admirals5Thunderbirds3WBox score
20128Condors2Admirals3WBox score
23146Condors1Admirals2WBox score
25160Admirals2Roadrunners4LBox score
27170Senators6Admirals5LXBox score
29181Admirals8Americans2WR1Box score
31193Admirals5Condors3WBox score
33203Roadrunners6Admirals5LXXBox score
35215Admirals-Senators-
36222Admirals-Americans-
39234Senators-Admirals-
40246Admirals-Islander-
43257Admirals-Rockets-
44265Moose-Admirals-
47284Rockets-Admirals-
49297Admirals-Punishers-
51310Wolfpack-Admirals-
54330Admirals-Gulls-
55338Punishers-Admirals-
58354Admirals-Canucks-
59363Comets-Admirals-
61377Admirals-Thunderbirds-
63387Crunch-Admirals-
65403Admirals-Marlies-
67414Griffins-Admirals-
68429Admirals-Eagles-
70439Marlies-Admirals-
72454Admirals-Thunderbirds-
74465Firebirds-Admirals-
77479Admirals-Little Stars-
78490Admirals-Penguins-
79494Wranglers-Admirals-
83517Eagles-Admirals-
86536Admirals-Little Stars-
87546Islander-Admirals-
90565Admirals-Canucks-
91569Islander-Admirals-
94590Icehogs-Admirals-
95600Admirals-Griffins-
98616Punishers-Admirals-
100629Admirals-Condors-
102644Gulls-Admirals-
104655Admirals-Comets-
105669Admirals-Barracuda-
107675Checkers-Admirals-
109691Admirals-Wranglers-
111699Thunderbirds-Admirals-
115726Americans-Admirals-
118743Moose-Admirals-
120755Admirals-Crunch-
122765Admirals-Roadrunners-
123776Roadrunners-Admirals-
125785Admirals-Checkers-
127800Little Stars-Admirals-
131820Thunderbirds-Admirals-
133835Admirals-Comets-
135845Bears-Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
137861Admirals-Firebirds-
139872Penguins-Admirals-
140883Admirals-Moose-
142895Admirals-Icehogs-
144906Gulls-Admirals-
147919Admirals-Wolfpack-
149932Condors-Admirals-
152954Barracuda-Admirals-
154968Canucks-Admirals-
155970Admirals-Bears-
159992Admirals-Bears-
1621007Canucks-Admirals-
1641021Admirals-Icehogs-
1671038Bears-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance14,4737,440
Attendance PCT90.46%93.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
32 2739 - 91.30% 172,031$1,376,245$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
618,448$ 2,407,500$ 2,407,500$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,772$ 458,450$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,504,980$ 136 18,979$ 2,581,144$




Admirals Players 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 Players 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