Admirals
GP: 76 | W: 32 | L: 43 | OTL: 1 | P: 65
GF: 338 | GA: 413 | PP%: 29.87% | PK%: 55.74%
Thomas Shaw and Mike Karski | 50 | 72
#1228 vs Rocket


Admirals
32-43-1, 65pts
6
FINAL
5 Monsters
34-33-7, 75pts
Team Stats
W4L1
18-18-121-11-5
14-25-013-22-2
8-1-11-7-2
4.455.01
5.435.01
29.87%34.29%
55.74%68.09%
Admirals
32-43-1, 65pts
7
FINAL
6 Stars
13-60-2, 28pts
Team Stats
W4SOL1
18-18-18-27-2
14-25-05-33-0
8-1-12-7-1
4.454.39
5.437.52
29.87%34.29%
55.74%69.49%
Rocket
46-24-5, 97pts
2025-04-06
Admirals
32-43-1, 65pts
W3W4
28-7-218-18-1
18-17-314-25-0
7-3-08-1-1
5.454.45
4.564.45
30.77%29.87%
73.33%55.74%
Islanders
49-22-3, 101pts
2025-04-08
Admirals
32-43-1, 65pts
W1W4
28-7-218-18-1
21-15-114-25-0
8-2-08-1-1
4.974.45
3.824.45
31.25%29.87%
66.13%55.74%
Admirals
32-43-1, 65pts
2025-04-10
Roadrunners
24-48-4, 52pts
W4L3
18-18-117-18-3
14-25-07-30-1
8-1-13-7-0
4.454.97
5.434.97
29.87%22.54%
55.74%70.97%
Jonas Rondbjerg
Jonas Rondbjerg
56
Alex Turcotte
Alex Turcotte
61
Jonas Rondbjerg
Jonas Rondbjerg
103
Nate Clurman
Nate Clurman
8
Ville Husso
Ville Husso
32
Ville Husso
Ville Husso
0.833


338
4.45 GFG

2486
32.71 Avg

29.9%
23 GF

31.5%

413
5.43 GAA

2436
32.05 Avg

55.7%%
27 GA

32.3%


Thomas Shaw and Mike Karski
Central Division
Western Conference
Jonas Rondbjerg




5,000
5,000
5,000




22
24
46 / 55
44


PriorityDescription
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
# #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Zachary Bolduc (R)0X100.00595296808252558445747349798479050780213863,334$
2Alexander Holtz (R)0X100.00595296798349998440737351788478050780221925,000$
3Jonas Rondbjerg (R) (A)0X100.00585198778247558340727150778377050760252962,000$
4Adam Beckman (R)0X100.00635198788043558240727042768276050750231925,000$
5Alex Turcotte (R)0X100.00585392788237558351727046768376050750231925,000$
6Cory Conacher0X100.00543970747758457965626840732540050720341750,000$
7Nathan Gaucher (R)0X100.00476681717585987665586740712540050720203918,333$
8Rasmus Asplund0X100.00456484737679917765616740722540050720262866,250$
9Dominik Shine0X100.00476581727581947736586740722540050710311750,000$
10Judd Caulfield (R)0X100.00456184727672837736586740722540050700232837,500$
11Rory Kerins (R)0X100.00445784727663737865596740732540050700223846,667$
12Martin Chromiak (R)0XXX100.00465883727665757736586740722540050700211820,000$
13Ethan Del Mastro (R)0X100.00466581727681947736606753722540050760213855,833$
14Declan Carlile0X100.00456583717581947636586751712540050740241925,000$
15Nick Cicek0X100.00476480717579917636576645712540050730241925,000$
16Stanislav Svozil (R)0X100.00455983727667777736596646722540050720213825,000$
17Nate Clurman0X100.00455983717567777636566645712540050710261750,000$
18Jack Matier (R)0X100.00443884707658457536576640712540050690213801,667$
1Jake Wise (R)0XXX100.00455783727662727765586740722540050690241750,000$
2Ozzy Wiesblatt (R)0XXX100.00475380717658617665586740712540050690221835,834$
100.0049568573776474784762684473404905073
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Ville Husso0100.00655553676565767060786534850507402914,892,500$
2Zach Sawchenko (R)0100.0062555360565360565775572555050660262971,250$
100.006455536461596863597761307005070
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# GP 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
1Jonas RondbjergAdmirals (NSH)RW765647103-14001361292679916520.97%53136617.9885132064000006043.55%6218441031.5123000856
2Alexander HoltzAdmirals (NSH)RW76385896-132081832006414419.00%45116715.373471558000002545.61%5713146011.6433000835
3Alex TurcotteAdmirals (NSH)C76316192-8609384163579319.02%34120715.8924612570111393251.81%9927224111.5212000363
4Adam BeckmanAdmirals (NSH)LW76265682-3420141671906314013.68%29160821.160553540000386048.78%8215013001.0202000354
5Haydn FleuryPredatorsD66304777-25609613321111510614.22%98152423.103811955202441320%09279001.0100000531
6Martin ChromiakAdmirals (NSH)C/LW/RW76243256-940102591544410215.58%24147519.4143713620113440240.91%668225000.7600000110
7Cory ConacherAdmirals (NSH)RW74203555-3116014652232801268.62%23129817.55011150000100250.00%8812919000.8522000101
8Nathan GaucherAdmirals (NSH)C76134053-1216910512168129508210.08%22145219.1107710620114361051.78%9546420000.73006510121
9Ethan Del MastroAdmirals (NSH)D7693948-1979555514314569756.21%123172522.71167756000034100%02194000.5600155001
10Declan CarlileAdmirals (NSH)D76153045-26896540148131445211.45%128156220.560221061000036200%02594010.5800445113
11Rasmus AsplundAdmirals (NSH)C76142438-3675457076152541149.21%27127816.8300001000000050.82%7938123000.5900315111
12Stanislav SvozilAdmirals (NSH)D7682432-331155612667363411.94%87126116.6000002000013100%02063000.5100010000
13Rory KerinsAdmirals (NSH)C7692029-1600394377244811.69%147419.7600000000032052.27%3964312000.7800000100
14Nick CicekAdmirals (NSH)D76131427-271355310475223517.33%99162221.35202666000047010%01874000.3300001101
15Dominik ShineAdmirals (NSH)RW7691524-183230522990266010.00%157519.8900000000001036.36%224311000.6400024000
16Ozzy WiesblattAdmirals (NSH)C/LW/RW6671724-3720784310436786.73%13106616.1600000000001029.03%313919000.4500000000
17Jack MatierAdmirals (NSH)D7631316-292040643919267.69%67122816.160000200001000%01133000.2600000000
18Zachary BolducAdmirals (NSH)C108614100101043162018.60%316416.4200000000000042.86%7205001.7100000101
19Judd CaulfieldAdmirals (NSH)RW761121001331233.33%0280.380000000000000%110001.4000000000
20Nate ClurmanAdmirals (NSH)D1011282061711139.09%1222422.470000000000000%0215000.1800000000
21Jake WiseAdmirals (NSH)C/LW/RW2011000123010%0199.820000000000000%000001.0200000000
1368335581916-377510310141714832486920150613.48%9162277816.6523456810661223512351291450.75%35511228710160.80812141830352728
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ville HussoAdmirals (NSH)76324310.8335.3245252040124051386170.66712760021
2Zach SawchenkoAdmirals (NSH)10000.7926.005000524110000076000
77324310.8335.334575204062429139717127676021


PriorityDescription
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
Adam Beckman Admirals (NSH)LW232001-05-10CANYes182 Lbs6 ft2NoNoN/ANoNo1FalseFalseFarm Only925,000$66,071$0$0$NoRestricted----------------------Link / NHL Link
Alex Turcotte Admirals (NSH)C232001-02-26USAYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$66,071$0$0$No Restricted----------------------Link / NHL Link
Alexander Holtz Admirals (NSH)RW222002-01-23SWEYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalseFarm Only925,000$66,071$0$0$NoRestricted----------------------Link / NHL Link
Cory Conacher Admirals (NSH)RW341989-12-14CANNo185 Lbs5 ft8NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm750,000$53,571$0$0$NoUnrestricted----------------------Link / NHL Link
Declan Carlile Admirals (NSH)D242000-05-18USANo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$66,071$0$0$No Restricted----------------------Link / NHL Link
Dominik Shine Admirals (NSH)RW311993-04-18USANo180 Lbs5 ft11NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm750,000$53,571$0$0$NoUnrestricted----------------------Link / NHL Link
Ethan Del Mastro Admirals (NSH)D212003-01-15CANYes210 Lbs6 ft4NoNoProspectNoNo32024-07-02FalseFalsePro & Farm855,833$61,131$0$0$No855,833$855,833$ Restricted----855,833$855,833$-------NoNo-------Link / NHL Link
Jack Matier Admirals (NSH)D212003-04-08CANYes207 Lbs6 ft5NoNoProspectNoNo32024-07-02FalseFalsePro & Farm801,667$57,262$0$0$No801,667$801,667$Restricted----801,667$801,667$-------NoNo-------Link / NHL Link
Jake Wise Admirals (NSH)C/LW/RW242000-02-28USAYes190 Lbs5 ft11NoNoProspectNoNo12024-07-02FalseFalsePro & Farm750,000$53,571$0$0$No Restricted----------------------Link / NHL Link
Jonas Rondbjerg Admirals (NSH)RW251999-03-31DNKYes203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm962,000$68,714$0$0$No962,000$ Restricted----962,000$--------No--------Link / NHL Link
Judd Caulfield Admirals (NSH)RW232001-03-19USAYes207 Lbs6 ft3NoNoProspectNoNo22024-07-02FalseFalsePro & Farm837,500$59,821$0$0$No837,500$ Restricted----837,500$--------No--------Link / NHL Link
Martin Chromiak Admirals (NSH)C/LW/RW212002-08-20SLOYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm820,000$58,571$0$0$NoRestricted----------------------Link / NHL Link
Nate Clurman Admirals (NSH)D261998-05-08USANo200 Lbs6 ft2NoNoFree AgentNoNo12024-12-07FalseFalsePro & Farm750,000$53,571$0$0$No Restricted----------------------Link / NHL Link
Nathan Gaucher Admirals (NSH)C202003-11-06CANYes209 Lbs6 ft3NoNoProspectNoNo32024-07-02FalseFalsePro & Farm918,333$65,595$0$0$No918,333$918,333$Restricted----918,333$918,333$-------NoNo-------Link / NHL Link
Nick Cicek Admirals (NSH)D242000-05-29CANNo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$66,071$0$0$No Restricted----------------------Link / NHL Link
Ozzy Wiesblatt Admirals (NSH)C/LW/RW222002-03-09CANYes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm835,834$59,702$0$0$NoRestricted----------------------Link / NHL Link
Rasmus Asplund Admirals (NSH)C261997-12-03SWENo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm866,250$61,875$0$0$No866,250$Unrestricted----866,250$--------No--------Link / NHL Link
Rory Kerins Admirals (NSH)C222002-04-12CANYes190 Lbs5 ft11NoNoProspectNoNo32024-07-02FalseFalsePro & Farm846,667$60,476$0$0$No846,667$846,667$ Restricted----846,667$846,667$-------NoNo-------Link / NHL Link
Stanislav Svozil Admirals (NSH)D212003-01-17CZEYes183 Lbs6 ft0NoNoProspectNoNo32024-07-02FalseFalsePro & Farm825,000$58,929$0$0$No825,000$825,000$ Restricted----825,000$825,000$-------NoNo-------Link / NHL Link
Ville Husso (1 Way Contract)Admirals (NSH)G291995-02-06FINNo200 Lbs6 ft3NoNoFree AgentNoYes12024-10-07FalseFalsePro & Farm4,892,500$349,464$269,107$3,767,500$NoUnrestricted----------------------Link / NHL Link
Zach Sawchenko Admirals (NSH)G261997-12-30CANYes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm971,250$69,375$0$0$No971,250$Unrestricted----971,250$--------No--------Link / NHL Link
Zachary Bolduc Admirals (NSH)C212003-02-24CANYes187 Lbs6 ft0NoNoProspectNoNo32024-07-02FalseFalsePro & Farm863,334$61,667$0$0$No863,334$863,334$ Restricted----863,334$863,334$-------NoNo-------Link / NHL Link
2224.05193 Lbs6 ft11.731,041,871$



1Adam BeckmanAlex TurcotteAlexander Holtz30122
2Martin ChromiakNathan GaucherJonas Rondbjerg30122
3Zachary BolducRasmus AsplundCory Conacher25122
4Adam BeckmanRory KerinsDominik Shine15122
1Nate ClurmanEthan Del Mastro40122
2Declan CarlileNick Cicek35122
3Stanislav SvozilJack Matier25122
4Declan CarlileEthan Del Mastro0131
1Adam BeckmanAlex TurcotteAlexander Holtz50005
2Martin ChromiakNathan GaucherJonas Rondbjerg50005
1Stanislav SvozilEthan Del Mastro50005
2Declan CarlileNick Cicek50005
1Alex TurcotteAdam Beckman50050
2Nathan GaucherMartin Chromiak50050
1Stanislav SvozilEthan Del Mastro50050
2Declan CarlileNick Cicek50050
1Alex Turcotte50050Stanislav SvozilEthan Del Mastro50050
2Nathan Gaucher50050Declan CarlileNick Cicek50050
1Alex TurcotteAdam Beckman50122
2Nathan GaucherMartin Chromiak50122
1Jack MatierEthan Del Mastro50122
2Declan CarlileNick Cicek50122
Adam BeckmanAlex TurcotteAlexander HoltzDeclan CarlileEthan Del Mastro
Adam BeckmanAlex TurcotteAlexander HoltzDeclan CarlileEthan Del Mastro
Cory Conacher, Nathan Gaucher, Rasmus AsplundCory Conacher, Nathan GaucherCory Conacher
Nick Cicek, Stanislav Svozil, Jack MatierNick CicekNick Cicek, Stanislav Svozil
Alexander Holtz, Jonas Rondbjerg, Adam Beckman, Alex Turcotte, Cory Conacher
#1 : Ville Husso, #2 : Zach Sawchenko
Alexander Holtz, Jonas Rondbjerg, Adam Beckman, Alex Turcotte, Cory Conacher, Nathan Gaucher, Nathan Gaucher, Rasmus Asplund, Dominik Shine, Martin Chromiak, Judd Caulfield
Nate Clurman, Ethan Del Mastro, Declan Carlile, Nick Cicek, Stanislav Svozil


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
1Americans20200000914-51010000057-21010000047-300.0009172610127104100127184983678231702314393266.67%220.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
2Barracuda312000001618-21100000074320200000914-520.3331630460012710410012978498367823199359536466.67%220.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
3Bears20200000311-81010000015-41010000026-400.0003470012710410012648498367823170271234100.00%10100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
4Bruins2200000015105110000007431100000086241.0001529440012710410012718498367823177332339200.00%4175.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
5Canucks312000001112-11100000041320200000711-420.333111930001271041001281849836782318337948400.00%20100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
6Checkers2110000048-41010000016-51100000032120.5004711001271041001266849836782314827738000%110.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
7Comets20200000714-71010000036-31010000048-400.0007121900127104100127084983678231732523353133.33%4250.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
8Condors30300000513-82020000049-51010000014-300.000591410127104100121048498367823192394762100.00%10100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
9Crunch20200000713-61010000067-11010000016-500.000712190012710410012778498367823175261239300.00%110.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
10Eagles412010001316-32100100096320200000410-640.5001321341012710410012109849836782311084937784125.00%6350.00%1571111351.30%584114251.14%647127650.71%1674108816625921246614
11Firebirds31200000611-52110000036-31010000035-220.333611171012710410012828498367823183281151000%30100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
12Griffins2100100014104100010006511100000085341.000142539001271041001267849836782315523040200.00%000%0571111351.30%584114251.14%647127650.71%1674108816625921246614
13Gulls321000001819-111000000642211000001215-340.667183351001271041001295849836782311063540584125.00%5340.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
14IceHogs404000001227-1520200000811-320200000416-1200.0001222340012710410012136849836782311344624817114.29%2150.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
15Islanders11000000541000000000001100000054121.000591400127104100122884983678231291110222150.00%000%0571111351.30%584114251.14%647127650.71%1674108816625921246614
16Marlies21100000871110000004131010000046-220.50081119101271041001248849836782315827432000%2150.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
17Monsters2100001014104110000008531000001065141.00014213500127104100127484983678231602035373133.33%5260.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
18Moose404000001528-13202000001116-520200000412-800.0001524391012710410012142849836782311345677211100.00%10100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
19Penguins2020000059-41010000035-21010000024-200.00058131012710410012668498367823159257385240.00%10100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
20Phantoms220000001385110000008441100000054141.0001323360012710410012788498367823160197363266.67%10100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
21Reign312000001116-521100000101001010000016-520.3331120310012710410012918498367823196372649200.00%30100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
22Roadrunners10001000871100010008710000000000021.00081220001271041001236849836782313816916000%20100.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
23Rocket11000000651000000000001100000065121.0006814001271041001233849836782313110019000%000%0571111351.30%584114251.14%647127650.71%1674108816625921246614
24Senators21100000910-1110000004311010000057-220.50091625001271041001252849836782315927441200.00%2150.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
25Silver Knights210010001311221001000131120000000000041.0001323360012710410012778498367823167182043400.00%000%0571111351.30%584114251.14%647127650.71%1674108816625921246614
26Stars31100010191811010000047-3210000101511440.66719345300127104100129284983678231893237605240.00%110.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
27Thunderbirds42000110282442100010013112210000101513270.87528467400127104100121488498367823113643874000%4250.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
28Wild303000001121-101010000057-220200000614-800.000111627001271041001297849836782311084619554125.00%220.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
29Wolf Pack20200000412-81010000037-41010000015-400.00046100012710410012728498367823168163242100.00%110.00%0571111351.30%584114251.14%647127650.71%1674108816625921246614
30Wolves20200000913-41010000046-21010000057-200.0009182700127104100125684983678231673052711100.00%000%0571111351.30%584114251.14%647127650.71%1674108816625921246614
31Wranglers33000000201461100000085322000000129361.0002035550012710410012106849836782311043014594250.00%2150.00%1571111351.30%584114251.14%647127650.71%1674108816625921246614
Total76254304130338413-7537141804100176186-1039112500030162227-65650.428338581919701271041001224868498367823124369165121417772329.87%612755.74%2571111351.30%584114251.14%647127650.71%1674108816625921246614
_Since Last GM Reset76254304130338413-7537141804100176186-1039112500030162227-65650.428338581919701271041001224868498367823124369165121417772329.87%612755.74%2571111351.30%584114251.14%647127650.71%1674108816625921246614
_Vs Conference46142603120206255-492391003100113115-2235160002093140-47390.42420635556140127104100121493849836782311477547317859461328.26%361558.33%2571111351.30%584114251.14%647127650.71%1674108816625921246614
_Vs Division2341402120106141-351126021005865-71228000204876-28170.37010617528120127104100127608498367823174728814143621628.57%18950.00%1571111351.30%584114251.14%647127650.71%1674108816625921246614

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7665W433858191924862436916512141770
All Games
GPWLOTWOTL SOWSOLGFGA
7625434130338413
Home Games
GPWLOTWOTL SOWSOLGFGA
3714184100176186
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3911250030162227
Last 10 Games
WLOTWOTL SOWSOL
810100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
772329.87%612755.74%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8498367823112710410012
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
571111351.30%584114251.14%647127650.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1674108816625921246614


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DayGame Visitor Score Home Score ST OT SO RI Link
7 - 2024-10-1017Stars7Admirals4LBoxScore
9 - 2024-10-1228Admirals8Griffins5WBoxScore
12 - 2024-10-1553Firebirds5Admirals1LBoxScore
14 - 2024-10-1769Condors5Admirals3LBoxScore
16 - 2024-10-1976Griffins5Admirals6WXBoxScore
19 - 2024-10-22101Bruins4Admirals7WBoxScore
22 - 2024-10-25120Admirals1IceHogs6LBoxScore
23 - 2024-10-26131Monsters5Admirals8WBoxScore
25 - 2024-10-28141Admirals1Crunch6LBoxScore
28 - 2024-10-31166Condors4Admirals1LBoxScore
30 - 2024-11-02182Eagles2Admirals4WBoxScore
32 - 2024-11-04192Reign7Admirals4LBoxScore
34 - 2024-11-06205Admirals2Bears6LBoxScore
35 - 2024-11-07211Admirals3Checkers2WBoxScore
37 - 2024-11-09232Roadrunners7Admirals8WXBoxScore
39 - 2024-11-11243Admirals2Eagles4LBoxScore
42 - 2024-11-14264Admirals1Condors4LBoxScore
43 - 2024-11-15269Admirals7Wranglers5WBoxScore
45 - 2024-11-17285Admirals3Canucks5LBoxScore
48 - 2024-11-20304Admirals3Firebirds5LBoxScore
51 - 2024-11-23329Moose7Admirals4LBoxScore
53 - 2024-11-25336Admirals4Comets8LBoxScore
55 - 2024-11-27356Phantoms4Admirals8WBoxScore
57 - 2024-11-29369Crunch7Admirals6LBoxScore
58 - 2024-11-30384Admirals4Wild8LBoxScore
62 - 2024-12-04406Admirals4Marlies6LBoxScore
63 - 2024-12-05411Admirals6Rocket5WBoxScore
65 - 2024-12-07431Admirals5Senators7LBoxScore
68 - 2024-12-10451Wranglers5Admirals8WBoxScore
70 - 2024-12-12466Admirals8Stars5WBoxScore
72 - 2024-12-14484Admirals2Eagles6LBoxScore
75 - 2024-12-17502Wolf Pack7Admirals3LBoxScore
77 - 2024-12-19515Penguins5Admirals3LBoxScore
79 - 2024-12-21528Reign3Admirals6WBoxScore
81 - 2024-12-23553Wolves6Admirals4LBoxScore
85 - 2024-12-27562Admirals6Thunderbirds5WXXBoxScore
88 - 2024-12-30587Admirals3Moose6LBoxScore
89 - 2024-12-31596Admirals2Wild6LBoxScore
92 - 2025-01-03619Admirals4Canucks6LBoxScore
93 - 2025-01-04627Admirals5Wranglers4WBoxScore
96 - 2025-01-07647Admirals1Moose6LBoxScore
100 - 2025-01-11679Bears5Admirals1LBoxScore
103 - 2025-01-14701Silver Knights6Admirals7WBoxScore
105 - 2025-01-16714IceHogs6Admirals5LBoxScore
107 - 2025-01-18733Wild7Admirals5LBoxScore
110 - 2025-01-21752Barracuda4Admirals7WBoxScore
112 - 2025-01-23771Admirals4Barracuda5LBoxScore
114 - 2025-01-25787Admirals6Gulls10LBoxScore
118 - 2025-01-29810Canucks1Admirals4WBoxScore
120 - 2025-01-31822Admirals4Americans7LBoxScore
121 - 2025-02-01830Admirals2Penguins4LBoxScore
123 - 2025-02-03844Senators3Admirals4WBoxScore
127 - 2025-02-07873Admirals3IceHogs10LBoxScore
128 - 2025-02-08885Americans7Admirals5LBoxScore
142 - 2025-02-22898Eagles4Admirals5WXBoxScore
143 - 2025-02-23911Comets6Admirals3LBoxScore
145 - 2025-02-25927Checkers6Admirals1LBoxScore
147 - 2025-02-27941Moose9Admirals7LBoxScore
149 - 2025-03-01949Admirals5Islanders4WBoxScore
150 - 2025-03-02965Admirals1Wolf Pack5LBoxScore
152 - 2025-03-04973Admirals8Bruins6WBoxScore
154 - 2025-03-06993Firebirds1Admirals2WBoxScore
156 - 2025-03-081009IceHogs5Admirals3LBoxScore
Trade Deadline
159 - 2025-03-111035Admirals5Barracuda9LBoxScore
162 - 2025-03-141053Admirals6Gulls5WBoxScore
163 - 2025-03-151064Admirals1Reign6LBoxScore
166 - 2025-03-181082Thunderbirds4Admirals7WBoxScore
168 - 2025-03-201096Gulls4Admirals6WBoxScore
170 - 2025-03-221114Marlies1Admirals4WBoxScore
171 - 2025-03-231121Admirals9Thunderbirds8WBoxScore
173 - 2025-03-251132Admirals5Wolves7LBoxScore
175 - 2025-03-271147Thunderbirds7Admirals6LXBoxScore
177 - 2025-03-291163Silver Knights5Admirals6WXBoxScore
179 - 2025-03-311179Admirals5Phantoms4WBoxScore
180 - 2025-04-011185Admirals6Monsters5WXXBoxScore
182 - 2025-04-031201Admirals7Stars6WXXBoxScore
185 - 2025-04-061228Rocket-Admirals-
187 - 2025-04-081241Islanders-Admirals-
189 - 2025-04-101257Admirals-Roadrunners-
191 - 2025-04-121274Admirals-Silver Knights-
193 - 2025-04-141288Roadrunners-Admirals-
195 - 2025-04-161304Stars-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance129,50055,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
4 5000 - 100.00% 108,375$4,009,875$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
16,384,819$ 18,028,668$ 18,028,668$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
91,983$ 16,384,819$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
433,500$ 14 91,983$ 1,287,762$




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