Please rotate your device to landscape mode for a better experience.
Login

Admirals
GP: 57 | W: 35 | L: 18 | OTL: 4 | P: 74
GF: 222 | GA: 204 | PP%: 17.37% | PK%: 77.32%
GM : Oli Perri | Morale : 40 | Team Overall : 63
Next Games #926 vs IceHogs

Game Center
Iowa Wild
32-24-2, 66pts
5
2 Admirals
35-18-4, 74pts
Team Stats
W2StreakL2
17-12-1Home Record21-8-1
15-12-1Home Record14-10-3
5-5-0Last 10 Games5-5-0
3.71Goals Per Game3.89
3.41Goals Against Per Game3.58
12.93%Power Play Percentage17.37%
77.22%Penalty Kill Percentage77.32%
Admirals
35-18-4, 74pts
2
6 Bears
30-24-5, 65pts
Team Stats
L2StreakW2
21-8-1Home Record15-13-2
14-10-3Home Record15-11-3
5-5-0Last 10 Games7-3-0
3.89Goals Per Game3.37
3.58Goals Against Per Game3.34
17.37%Power Play Percentage23.72%
77.32%Penalty Kill Percentage77.36%
IceHogs
33-18-6, 72pts
2026-02-26
Admirals
35-18-4, 74pts
Team Stats
L2StreakL2
19-9-3Home Record21-8-1
14-9-3Away Record14-10-3
6-4-0Last 10 Games5-5-0
3.47Goals Per Game3.89
3.05Goals Against Per Game3.89
21.70%Power Play Percentage17.37%
80.17%Penalty Kill Percentage77.32%
Admirals
35-18-4, 74pts
2026-02-28
Texas Stars
23-31-3, 49pts
Team Stats
L2StreakW1
21-8-1Home Record12-13-1
14-10-3Away Record11-18-2
5-5-0Last 10 Games5-4-1
3.89Goals Per Game2.75
3.58Goals Against Per Game2.75
17.37%Power Play Percentage16.44%
77.32%Penalty Kill Percentage82.01%
Griffins
29-20-9, 67pts
2026-03-02
Admirals
35-18-4, 74pts
Team Stats
SOL1StreakL2
13-12-5Home Record21-8-1
16-8-4Away Record14-10-3
5-3-2Last 10 Games5-5-0
3.52Goals Per Game3.89
3.31Goals Against Per Game3.89
20.99%Power Play Percentage17.37%
80.29%Penalty Kill Percentage77.32%
Team Leaders
Joakim KemellGoals
Joakim Kemell
25
Jett LuchankoAssists
Jett Luchanko
40
Jett LuchankoPoints
Jett Luchanko
61
Zachary SanfordPlus/Minus
Zachary Sanford
22
Carter GeorgeWins
Carter George
24
Carter GeorgeSave Percentage
Carter George
0.905

Team Stats
Goals For
222
3.89 GFG
Shots For
1973
34.61 Avg
Power Play Percentage
17.4%
41 GF
Offensive Zone Start
40.1%
Goals Against
204
3.58 GAA
Shots Against
2047
35.91 Avg
Penalty Kill Percentage
77.3%%
44 GA
Defensive Zone Start
40.9%
Team Info

General ManagerOli Perri
CoachKarl Taylor
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2William Dufour


Arena Info

Capacity3,000
Attendance2,809
Season Tickets300


Roster Info

Pro Team23
Farm Team20
Contract Limit43 / 250
Prospects25


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
1Justin Bailey0XX100.00784185658983876356626164637072040660311925,000$
2Rodrigo Abols0X100.00763993658877726468616263656971040650303925,000$
3Matthew Peca0X100.00583691656882836470676663657277040650333925,000$
4Michael Sgarbossa0X100.00643788657079806673676562647375040650341925,000$
5Zachary Sanford0X100.007673776588798463616658645973740406503111,408,000$
6Brian Pinho0X100.00663795637591866270636261647072040640313925,000$
7Noah Philp0XX100.00723986638385726265606163626769040640283925,000$
8Filip Bystedt (R)0XX100.00694081657884706470636261656163040630223925,000$
9James Malatesta0X100.00754068656881806358616260656364040630232925,000$
10Sasha Pastujov0XX100.00633791627290766471656361656264040630232925,000$
11Joakim Kemell0X100.00683785646982856352605957616263040620221925,000$
12William Dufour (A)0X100.00744274598384815760565855576465040610241925,000$
13Caedan Bankier0X100.00704084597984825763565855596264040610232925,000$
14Nathan Gaucher0X100.00765069588573845562565759586264040610222925,000$
15Jett Luchanko (R)0X100.00653975666881616372605064656062040600203925,000$
16Kevin Gravel0X100.00763989618783845930646063497375040650341925,000$
17Adam Wilsby0X100.00653888667585786530646263516567040640261925,000$
18Robbie Russo0X100.00643981617371865730635756477274040620331925,000$
19Tyler Wotherspoon0X100.00733893598266865630585657457274040620331925,000$
20Jack Matier0X100.00844190539364705230545559456264040600232925,000$
Scratches
TEAM AVERAGE100.0071418462798079615661606159676904063
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
1Carter George (R)0100.0075706773747375747375746061040660203925,000$
2Devin Cooley0100.0075847988747375747375746881040660293925,000$
Scratches
1Marcus Hogberg0100.0074767196737274737274737185040660313925,000$
TEAM AVERAGE100.007577728674737574737574667604066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Karl Taylor72737164837868CAN542300,000$


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
1Jett LuchankoAdmirals (NSH)C5721406154001001791683710312.50%48131823.13761342182000002350.40%113900000.9300000323
2Seth GriffithPredatorsC/RW452436602040261771935212812.44%30110724.6278154916701151623154.25%171600001.0802000625
3Zachary SanfordAdmirals (NSH)LW57213960226420175131223451749.42%39131123.00412164220620271782152.14%11700000.9223211625
4Joakim KemellAdmirals (NSH)RW572534592049580951936113012.95%16119620.99881644205000004142.50%8000010.9923000334
5Sasha PastujovAdmirals (NSH)LW/RW572534593240961302175514911.52%32110019.300003710161084053.59%15300001.0701000811
6Filip BystedtAdmirals (NSH)C/LW57213556-126079125212541609.91%19110919.4711112491860000143153.79%14500001.0100000333
7Brian PinhoAdmirals (NSH)C57252752-320077187251731789.96%25124321.810119210001603051.55%145100000.8400000242
8Kevin GravelAdmirals (NSH)D571636521081513482135408211.85%105140624.686111778218011014542100.00%100000.7400000233
9Noah PhilpAdmirals (NSH)C/RW57242246-1016081881945814112.37%19103218.115611531861123823248.44%19200000.8900000143
10Robbie RussoAdmirals (NSH)D57734412460179628528618.24%115122121.423694417301101332160.00%500000.6700000031
11Tyler WotherspoonAdmirals (NSH)D57420242160473631102112.90%4982614.500000130111561025.00%400000.5800000022
12Jack MatierAdmirals (NSH)D5721315355512124269287.69%4374813.130000300003100%000000.4000001000
13Jacob MacDonaldPredatorsD82792402324172511.76%1719424.34123829000131000%000000.9200000020
14Adam WilsbyAdmirals (NSH)D7033240813137130%1114921.38011827000024000%000000.4000000001
15William DufourAdmirals (NSH)RW510106018193611.11%16813.66000000000000100.00%200000.2900000000
16James MalatestaAdmirals (NSH)LW57011000476020%2330.5800001000020030.00%1000000.6000000000
17Rodrigo AbolsAdmirals (NSH)C3000-120201030%0144.810000000000000%00000000000000
Team Total or Average7522183815997645735125013611974534138411.04%5711408218.7342721144291629459241003321252.06%501500010.8549212343133
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
1Carter GeorgeAdmirals (NSH)39241140.9053.4223526013414090121.0002395033
2Devin CooleyAdmirals (NSH)1811700.8963.61103000625990111.00061852101
Team Total or Average57351840.9023.48338260196200802385757134


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 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
Adam WilsbyAdmirals (NSH)D262000-08-07SWENo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Brian PinhoAdmirals (NSH)C311995-05-11USANo190 Lbs6 ft1NoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Caedan BankierAdmirals (NSH)C232003-01-26CANNo192 Lbs6 ft2NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Carter GeorgeAdmirals (NSH)G202006-05-20CANYes196 Lbs6 ft1NoNoTrade2025-10-07NoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Devin CooleyAdmirals (NSH)G291997-05-25USANo192 Lbs6 ft5NoNoFree Agent2024-06-07YesYes32025-07-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Filip BystedtAdmirals (NSH)C/LW222004-02-04SWEYes187 Lbs6 ft2NoNoAssign ManuallyNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Jack MatierAdmirals (NSH)D232003-04-08CANNo205 Lbs6 ft6NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
James MalatestaAdmirals (NSH)LW232003-05-31CANNo193 Lbs5 ft9NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Jett LuchankoAdmirals (NSH)C202006-08-21CANYes180 Lbs5 ft11NoNoDraftNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Joakim KemellAdmirals (NSH)RW222004-04-27FINNo182 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Justin BaileyAdmirals (NSH)LW/RW311995-07-01USANo214 Lbs6 ft4NoNoWaiverYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Kevin GravelAdmirals (NSH)D341992-03-06USANo205 Lbs6 ft4NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Marcus HogbergAdmirals (NSH)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentYesYes32025-07-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Matthew PecaAdmirals (NSH)C331993-04-27CANNo181 Lbs5 ft10NoNoFree AgentYesYes32025-07-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Michael SgarbossaAdmirals (NSH)C341992-07-25CANNo179 Lbs6 ft0NoNoWaiverYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Nathan GaucherAdmirals (NSH)C222003-11-06CANNo207 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Noah PhilpAdmirals (NSH)C/RW281998-08-31CANNo198 Lbs6 ft3NoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Robbie RussoAdmirals (NSH)D331993-02-15USANo191 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Rodrigo AbolsAdmirals (NSH)C301996-01-05LVANo206 Lbs6 ft4NoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Sasha PastujovAdmirals (NSH)LW/RW232003-07-15USANo187 Lbs6 ft0NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Tyler WotherspoonAdmirals (NSH)D331993-03-12CANNo207 Lbs6 ft2NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
William DufourAdmirals (NSH)RW242002-01-28CANNo215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Zachary SanfordAdmirals (NSH)LW311994-11-09USANo206 Lbs6 ft4NoNoN/AYesYes1FalseFalsePro & Farm1,408,000$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2327.22197 Lbs6 ft22.00946,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordJoakim Kemell40023
2Filip BystedtJett LuchankoNoah Philp30122
3Sasha PastujovBrian Pinho20122
4Filip BystedtJett LuchankoJoakim Kemell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin Gravel40122
2Robbie Russo30122
3Tyler WotherspoonJack Matier20122
4Kevin Gravel10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordJoakim Kemell60122
2Filip BystedtJett LuchankoNoah Philp40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin Gravel60122
2Robbie Russo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Zachary Sanford60122
2Noah PhilpSasha Pastujov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin Gravel60122
2Robbie Russo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Kevin Gravel60122
2Noah Philp40122Robbie Russo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Zachary Sanford60122
2Noah PhilpJoakim Kemell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin Gravel60122
2Robbie Russo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordJoakim KemellKevin Gravel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordNoah PhilpKevin Gravel
Extra Forwards
Normal PowerPlayPenalty Kill
Brian Pinho, Sasha Pastujov, Filip BystedtBrian Pinho, Sasha PastujovBrian Pinho
Extra Defensemen
Normal PowerPlayPenalty Kill
Robbie Russo, Tyler Wotherspoon, Jack MatierRobbie RussoRobbie Russo, Tyler Wotherspoon
Penalty Shots
, Zachary Sanford, Joakim Kemell, Noah Philp, Brian Pinho
Goalie
#1 : , #2 : Devin Cooley
Custom OT Lines Forwards
, Zachary Sanford, Joakim Kemell, Noah Philp, Brian Pinho, Sasha Pastujov, Filip Bystedt, James Malatesta, ,
Custom OT Lines Defensemen
, Kevin Gravel, , Robbie Russo, Tyler Wotherspoon


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
1Abbotsford Canucks2110000068-22110000068-20000000000020.500610160092586586869262264028722314456233.33%6183.33%01047207950.36%1088211851.37%52498253.36%13369271394420719355
2Bears20101000710-3100010005411010000026-420.500714210092586586969262264028882112269333.33%5180.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
3Belleville Senators21001000954110000006331000100032141.00091827009258658636926226402855276421119.09%30100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
4Bridgeport Islanders210001008801000010034-11100000054130.750812200092586586269262264028722330449111.11%13469.23%01047207950.36%1088211851.37%52498253.36%13369271394420719355
5Bruins10000010541000000000001000001054121.00058130092586584369262264028348431200.00%2150.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
6Calgary Wranglers301010101413120101000101001000001043140.6671421350092586581216926226402812637327118211.11%9277.78%01047207950.36%1088211851.37%52498253.36%13369271394420719355
7Charlotte Checkers22000000844110000005321100000031241.000816240092586587769262264028731718398112.50%9277.78%01047207950.36%1088211851.37%52498253.36%13369271394420719355
8Chicago Wolves220000001055110000006241100000043141.000101929009258658806926226402852108486233.33%30100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
9Cleveland Monsters11000000431110000004310000000000021.000471100925865828692622640284381327200.00%4175.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
10Coachella Valley Firebirds1010000023-1000000000001010000023-100.00022400925865837692622640283612818300.00%3166.67%01047207950.36%1088211851.37%52498253.36%13369271394420719355
11Colorado Eagles412001001114-32110000056-12010010068-230.3751119300092586581186926226402815139368113323.08%9277.78%01047207950.36%1088211851.37%52498253.36%13369271394420719355
12Condors220000001275110000008441100000043141.0001219310092586589569262264028651712468562.50%6183.33%01047207950.36%1088211851.37%52498253.36%13369271394420719355
13Griffins1000010034-1000000000001000010034-110.50036900925865829692622640284318430100.00%110.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
14Henderson Silver Knights20200000311-80000000000020200000311-800.0003690092586587569262264028912927351000.00%9455.56%01047207950.36%1088211851.37%52498253.36%13369271394420719355
15IceHogs2110000011110110000005411010000067-120.50011182900925865868692622640286123144714428.57%7185.71%01047207950.36%1088211851.37%52498253.36%13369271394420719355
16Iowa Wild312000001014-41010000025-32110000089-120.333101626109258658105692622640281333132709111.11%14285.71%01047207950.36%1088211851.37%52498253.36%13369271394420719355
17Laval Rocket1010000013-2000000000001010000013-200.00012310925865824692622640283791418400.00%7185.71%11047207950.36%1088211851.37%52498253.36%13369271394420719355
18Moose22000000862110000005411100000032141.000812200092586584669262264028642726396116.67%13376.92%01047207950.36%1088211851.37%52498253.36%13369271394420719355
19Ontario Reign11000000413110000004130000000000021.00047110092586584069262264028307815800.00%40100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
20Phantoms21100000811-3110000006421010000027-520.500813210092586586969262264028893014437228.57%7357.14%11047207950.36%1088211851.37%52498253.36%13369271394420719355
21Rochester Americans1010000025-31010000025-30000000000000.00024600925865826692622640282662174125.00%10100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
22San Diego Gulls11000000312110000003120000000000021.00035800925865827692622640283188236116.67%4175.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
23Syracruse Crunch11000000413110000004130000000000021.00046100092586583469262264028348821600.00%40100.00%11047207950.36%1088211851.37%52498253.36%13369271394420719355
24Texas Stars21100000770211000007700000000000020.5007132010925865872692622640286522104610330.00%50100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
25Thunderbirds4110110018171211000009812000110099050.6251833510092586581306926226402815440328512216.67%13746.15%01047207950.36%1088211851.37%52498253.36%13369271394420719355
26Toronto Marlies2110000056-11010000024-21100000032120.5005101500925865863692622640287915205010220.00%80100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
27Tucson Roadrunners320000101468210000109541100000051461.000142438009258658102692622640287627187116318.75%9188.89%01047207950.36%1088211851.37%52498253.36%13369271394420719355
28Utica Comets1010000045-1000000000001010000045-100.0004711009258658496926226402838111222200.00%5340.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
29Wilkes-Barre Penguins220000001165110000004221100000074341.0001117280092586587369262264028791621587114.29%70100.00%01047207950.36%1088211851.37%52498253.36%13369271394420719355
30Wolf Pack220000001055110000004311100000062441.00010172700925865880692622640285010843900.00%4175.00%11047207950.36%1088211851.37%52498253.36%13369271394420719355
Total57281804430222204183018802110124101232710100232098103-5740.649222381603309258658197369262264028204757947112512364117.37%1944477.32%41047207950.36%1088211851.37%52498253.36%13369271394420719355
_Since Last GM Reset57281804430222204183018802110124101232710100232098103-5740.649222381603309258658197369262264028204757947112512364117.37%1944477.32%41047207950.36%1088211851.37%52498253.36%13369271394420719355
_Vs Conference32141202220123119418106010107363101446012105056-6380.59412320532820925865811046926226402811553422776921392719.42%1112676.58%01047207950.36%1088211851.37%52498253.36%13369271394420719355
_Vs Division20970121079754116400010423939330120037361240.6007913521420925865864169262264028704209168439801721.25%701677.14%01047207950.36%1088211851.37%52498253.36%13369271394420719355

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5774L222238160319732047579471125130
All Games
GPWLOTWOTL SOWSOLGFGA
5728184430222204
Home Games
GPWLOTWOTL SOWSOLGFGA
301882110124101
Visitor Games
GPWLOTWOTL SOWSOLGFGA
271010232098103
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2364117.37%1944477.32%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
692622640289258658
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1047207950.36%1088211851.37%52498253.36%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13369271394420719355


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
3 - 2025-10-0916Cleveland Monsters3Admirals4WBox score
5 - 2025-10-1132Tucson Roadrunners3Admirals4WXXBox score
7 - 2025-10-1341Admirals3Belleville Senators2WXBox score
8 - 2025-10-1449Admirals3Toronto Marlies2WBox score
10 - 2025-10-1662Admirals1Laval Rocket3LBox score
12 - 2025-10-1884Admirals3Moose2WBox score
15 - 2025-10-21105San Diego Gulls1Admirals3WBox score
17 - 2025-10-23118Abbotsford Canucks2Admirals3WBox score
19 - 2025-10-25137Ontario Reign1Admirals4WBox score
20 - 2025-10-26145Texas Stars2Admirals4WBox score
22 - 2025-10-28156Syracruse Crunch1Admirals4WBox score
24 - 2025-10-30170Admirals2Phantoms7LBox score
26 - 2025-11-01183Calgary Wranglers5Admirals6WXBox score
28 - 2025-11-03201Abbotsford Canucks6Admirals3LBox score
29 - 2025-11-04208Admirals5Iowa Wild4WBox score
31 - 2025-11-06223Phantoms4Admirals6WBox score
33 - 2025-11-08233Texas Stars5Admirals3LBox score
35 - 2025-11-10253Admirals6Wolf Pack2WBox score
39 - 2025-11-14281Wilkes-Barre Penguins2Admirals4WBox score
41 - 2025-11-16296Admirals7Wilkes-Barre Penguins4WBox score
47 - 2025-11-22343Colorado Eagles3Admirals4WBox score
49 - 2025-11-24357Charlotte Checkers3Admirals5WBox score
51 - 2025-11-26361Admirals3Griffins4LXBox score
53 - 2025-11-28389Admirals6IceHogs7LBox score
54 - 2025-11-29397Moose4Admirals5WBox score
57 - 2025-12-02416Calgary Wranglers5Admirals4LBox score
59 - 2025-12-04429Admirals3Charlotte Checkers1WBox score
61 - 2025-12-06447Admirals4Chicago Wolves3WBox score
64 - 2025-12-09475Colorado Eagles3Admirals1LBox score
66 - 2025-12-11487Thunderbirds4Admirals2LBox score
68 - 2025-12-13506Admirals3Colorado Eagles4LXBox score
70 - 2025-12-15517Admirals6Thunderbirds5WXBox score
72 - 2025-12-17532Chicago Wolves2Admirals6WBox score
75 - 2025-12-20558Toronto Marlies4Admirals2LBox score
76 - 2025-12-21567Wolf Pack3Admirals4WBox score
78 - 2025-12-23582Admirals3Iowa Wild5LBox score
82 - 2025-12-27595Admirals3Thunderbirds4LXBox score
84 - 2025-12-29612Admirals5Tucson Roadrunners1WBox score
86 - 2025-12-31623Admirals2Henderson Silver Knights3LBox score
87 - 2026-01-01638Admirals2Coachella Valley Firebirds3LBox score
89 - 2026-01-03654Admirals4Calgary Wranglers3WXXBox score
92 - 2026-01-06674Admirals4Condors3WBox score
94 - 2026-01-08689Bridgeport Islanders4Admirals3LXBox score
96 - 2026-01-10707IceHogs4Admirals5WBox score
97 - 2026-01-11713Bears4Admirals5WXBox score
99 - 2026-01-13731Condors4Admirals8WBox score
102 - 2026-01-16752Admirals3Colorado Eagles4LBox score
103 - 2026-01-17765Admirals1Henderson Silver Knights8LBox score
106 - 2026-01-20784Rochester Americans5Admirals2LBox score
108 - 2026-01-22798Belleville Senators3Admirals6WBox score
110 - 2026-01-24811Tucson Roadrunners2Admirals5WBox score
113 - 2026-01-27830Admirals5Bruins4WXXBox score
115 - 2026-01-29848Admirals4Utica Comets5LBox score
117 - 2026-01-31867Admirals5Bridgeport Islanders4WBox score
119 - 2026-02-02880Thunderbirds4Admirals7WBox score
121 - 2026-02-04896Iowa Wild5Admirals2LBox score
122 - 2026-02-05908Admirals2Bears6LBox score
143 - 2026-02-26926IceHogs-Admirals-
145 - 2026-02-28945Admirals-Texas Stars-
147 - 2026-03-02955Griffins-Admirals-
148 - 2026-03-03963Admirals-Cleveland Monsters-
150 - 2026-03-05979Bruins-Admirals-
152 - 2026-03-07992Admirals-Rochester Americans-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101024Admirals-Coachella Valley Firebirds-
157 - 2026-03-121038Admirals-Abbotsford Canucks-
160 - 2026-03-151061Admirals-Condors-
162 - 2026-03-171071Admirals-Moose-
164 - 2026-03-191087Coachella Valley Firebirds-Admirals-
166 - 2026-03-211100Henderson Silver Knights-Admirals-
167 - 2026-03-221113Admirals-IceHogs-
169 - 2026-03-241129San Jose Barracuda-Admirals-
171 - 2026-03-261144Utica Comets-Admirals-
173 - 2026-03-281161Laval Rocket-Admirals-
174 - 2026-03-291168Admirals-Syracruse Crunch-
178 - 2026-04-021204Admirals-Ontario Reign-
180 - 2026-04-041220Admirals-San Jose Barracuda-
182 - 2026-04-061232Admirals-Ontario Reign-
183 - 2026-04-071243Admirals-San Diego Gulls-
185 - 2026-04-091257Admirals-Tucson Roadrunners-
187 - 2026-04-111267Iowa Wild-Admirals-
189 - 2026-04-131287San Jose Barracuda-Admirals-
192 - 2026-04-161307San Diego Gulls-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance56,23728,037
Attendance PCT93.73%93.46%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-25 2809 - 93.64% 116,257$3,487,720$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,787,656$ 2,175,800$ 2,175,800$ 300,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,568,532$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,278,831$ 52 12,828$ 667,056$




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