AdmiralsMilwaukee Admirals
36-34-12, 84pts · 12th in Conference 2
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Tye Kartye0C/LW/RW100.008455717680787572506768707256501506924975,000$/1yrs
Vasily Podkolzin0LW/RW100.0075567273757775724869656870625315068241,200,000$/4yrs
Brennan Othmann0LW100.006542747174746566426360606655501506322975,000$/2yrs
Kole Lind0RW100.0058535869626967664665616266545015062261,500,000$/2yrs
Raphael Lavoie0C/RW100.0062446564676563644458615663525015060241,200,000$/3yrs
Jake Wise0C/LW/RW100.005941716562666462436057596252501505925975,000$/2yrs
Cameron Wright0RW100.0060466363646765634256575661535015058261,000,000$/3yrs
Jagger Joshua0LW100.0062535861676563574154525857545015057261,000,000$/3yrs
Hunter Johannes0LW100.0062426559696563574052525456535015056261,000,000$/3yrs
Parker Wotherspoon0D100.0070508175778573694066617468595015069271,200,000$/3yrs
Declan Chisholm0D100.0063428575788276714068647270625315069251,200,000$/3yrs
Owen Pickering (R)0D100.005840746977756264406161666551501506421886,667$/2yrs
Victtorio Mancini (R)0D100.006140736780756265406362646551501506423975,000$/3yrs
Alex Petrovic0D100.006246636468727264406255686168611506433975,000$/1yrs
Carson Lambos0D100.006245646565636263405856646150501506122975,000$/2yrs
Artem Duda (R)0D100.006341696762626162406157656250501506121950,000$/2yrs
Adam Ginning0D100.006349606468666563405953656053501506125975,000$/1yrs
Billy Sweezey0D100.0060496164657069594053526658595215061291,200,000$/1yrs
Scratches
Danila Klimovich0RW79.6666446565676260624356596162505015059221,100,000$/4yrs
Ethan de Jong0RW100.0057417064616462564154525557525015056251,000,000$/3yrs
Zach Dean0C/LW/RW100.005841706562605856415253565850501505622975,000$/2yrs
Danny Katic0LW100.0062416458666058554054545756515015056241,000,000$/3yrs
Jakub Rychlovský0LW100.0058416762616158574054545558515015056231,000,000$/3yrs
Joey Abate0C/LW/RW100.0055555664616664584252535359545015056261,000,000$/3yrs
Carson Golder0RW100.0062406961665956554052515456505015055221,000,000$/3yrs
Jaxsen Wiebe0RW100.0063416960676058554051525556515015055231,000,000$/3yrs
Connor Mylymok0LW100.0061425658646158554053535555525015055251,000,000$/3yrs
Gunnarwolfe Fontaine0LW100.0056406662576058544053535556515015055241,000,000$/3yrs
Joey Larson0C/LW/RW100.0059405958626058554054545456515015055241,000,000$/3yrs
Lucas Mercuri (R)0C100.006140626062595754465353565551501505523975,000$/1yrs
Leo Lööf0D100.0059456465636463594059516458515015060233,000,000$/1yrs
Lucas Johansen0D100.0058417067616563584055516459555015060271,200,000$/1yrs
Colton Poolman0D100.0060407265626765574052536758595015060291,000,000$/1yrs
Marshall Warren (R)0D100.005642636261626160405856595951501505824825,000$/1yrs
Connor Corcoran0D100.0057417264646361584053525758525015058241,000,000$/4yrs
Calle Odelius (R)0D100.005541676161616059405754535850501505721815,000$/2yrs
Josh Maniscalco0D100.005541635658565453405150555353501505426975,000$/1yrs
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Ty Young0100.00675757636364666565625750501505820975,000$/2yrs
Hunter Miska0100.00645955555755565357585760521505329975,000$/1yrs
Scratches
Evan Cormier0100.005650485854515147535344545015049271,000,000$/3yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Troy Mann6261646162571CAN551500,000$
General Manager
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Tye KartyeAdmiralsAdmirals (NAS)C/LW/RW82243256-2367251561706212314.12%3623.901012221011263447.16%000.686120.45
2Vasily PodkolzinAdmiralsAdmirals (NAS)LW/RW82222951-2479351111565110614.10%2621.52111223213625342.86%000.626110.37
3Brennan OthmannAdmiralsAdmirals (NAS)LW82202646-12515120171449411.70%3021.31167112933248.28%100.56130.54
4Kole LindAdmiralsAdmirals (NAS)RW82201939-4615141154278212.99%1719.3135800016144.00%000.48010.38
5Parker WotherspoonAdmiralsAdmirals (NAS)D8272532-1132201007752369.09%10625.537714000142000.00%000.39000.30
6Raphael LavoieAdmiralsAdmirals (NAS)C/RW82112031-7361010364195117.19%2819.80347000291045.80%000.38000.23
7Declan ChisholmAdmiralsAdmirals (NAS)D8232427-111810629741373.09%8225.37279011147000.00%000.33000.27
8Owen PickeringAdmiralsAdmirals (NAS)D822911-20195553726185.41%5320.1903302295100.00%000.13010.03
9Danila KlimovichAdmiralsAdmirals (NAS)RW809110-1822010869244013.04%1315.4910100001032.76%000.13000.07
10Victtorio ManciniAdmiralsAdmirals (NAS)D82099-20140584916170.00%5320.1502200096000.00%000.11000.03
11Alex PetrovicAdmiralsAdmirals (NAS)D82077-8335394560.00%2614.320000000000.00%000.0900-0.03
12Cameron WrightAdmiralsAdmirals (NAS)RW682241140531141018.18%29.9401100052041.18%000.06000.03
13Carson LambosAdmiralsAdmirals (NAS)D82044-9160611821100.00%2615.76000000210040.00%000.05000.00
14Jake WiseAdmiralsAdmirals (NAS)C/LW/RW56224-18195485318363.77%1314.57000000501042.99%000.0700-0.03
15Zach DeanAdmiralsAdmirals (NAS)C/LW/RW163142001465550.00%17.9600000070043.33%000.25000.27
16Jagger JoshuaAdmiralsAdmirals (NAS)LW44134-315550177215.88%414.4901100031025.00%000.09000.03
17Artem DudaAdmiralsAdmirals (NAS)D68011100205130.00%14.7700000020035.29%000.01000.02
18Carson GolderAdmiralsAdmirals (NAS)RW1400040012100.00%04.8200000000054.55%000.00000.11
19Ethan de JongAdmiralsAdmirals (NAS)RW1600024076070.00%26.760000000000.00%000.00000.05
20Hunter JohannesAdmiralsAdmirals (NAS)LW2000-10001000.00%117.64000000000100.00%000.0000-0.11
21Adam GinningAdmiralsAdmirals (NAS)D66000-32060000.00%02.1300000000033.33%000.0000-0.02
22Lucas MercuriAdmiralsAdmirals (NAS)C200000020010.00%07.6600000010033.33%000.00000.03
23Billy SweezeyAdmiralsAdmirals (NAS)D6600000000000.00%00.180000000000.00%000.0000-0.00
Team Total or Average1400126214340-1714761401315116742470310.80%52016.313860981229459888241045.76%3114282380100.301328
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
1Ty YoungAdmiralsAdmirals (NAS)592321110.9032.023420471151186646240.645315524731
2Hunter MiskaAdmiralsAdmirals (NAS)28131310.8752.6415690169552345410.60052755211
Team Total or Average873634120.8942.214990481841738991650.639368279942
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Adam Ginning D25975,000$975,000$ RFA
Alex Petrovic D33975,000$975,000$ UFA
Artem Duda D21950,000$975,000$ 975,000$ RFA
Billy Sweezey D291,200,000$1,200,000$ UFA
Brennan Othmann LW22975,000$975,000$ 975,000$ RFA
Calle Odelius D21815,000$975,000$ 975,000$ RFA
Cameron Wright RW261,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Carson Golder RW221,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Carson Lambos D22975,000$975,000$ 975,000$ RFA
Colton Poolman D291,000,000$1,000,000$ UFA
Connor Corcoran D241,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Connor Mylymok LW251,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Danila Klimovich RW221,100,000$1,100,000$ 1,100,000$ 1,100,000$ 1,100,000$ RFA
Danny Katic LW241,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Declan Chisholm D251,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Ethan de Jong RW251,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Evan Cormier G271,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Gunnarwolfe Fontaine LW241,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Hunter Johannes LW261,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Hunter Miska G29975,000$975,000$ UFA
Jagger Joshua LW261,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Jake Wise C/LW/RW25975,000$975,000$ 975,000$ UFA
Jakub Rychlovský LW231,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Jaxsen Wiebe RW231,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Joey Abate C/LW/RW261,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Joey Larson C/LW/RW241,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Josh Maniscalco D26975,000$975,000$ UFA
Kole Lind RW261,500,000$1,500,000$ 1,500,000$ UFA
Leo Lööf D233,000,000$3,000,000$ RFA
Lucas Johansen D271,200,000$1,200,000$ UFA
Lucas Mercuri C23975,000$975,000$ RFA
Marshall Warren D24825,000$975,000$ RFA
Owen Pickering D21886,667$975,000$ 975,000$ RFA
Parker Wotherspoon D271,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Raphael Lavoie C/RW241,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Ty Young G20975,000$975,000$ 975,000$ RFA
Tye Kartye C/LW/RW24975,000$975,000$ RFA
Vasily Podkolzin LW/RW241,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Victtorio Mancini D23975,000$975,000$ 975,000$ 975,000$ RFA
Zach Dean C/LW/RW22975,000$975,000$ 975,000$ RFA

Lines
Forward Lines


# - Brennan Othmann


# - Tye Kartye


# - Vasily Podkolzin


# - Brennan Othmann


# - Raphael Lavoie


# - Kole Lind


# - Vasily Podkolzin


# - Tye Kartye


# - Brennan Othmann


# - Tye Kartye


# - Kole Lind


# - Vasily Podkolzin

Defensive Pairings


# - Declan Chisholm


# - Parker Wotherspoon


# - Victtorio Mancini


# - Owen Pickering


# - Alex Petrovic


# - Carson Lambos

1st Power Play Unit


# - Brennan Othmann


# - Tye Kartye


# - Vasily Podkolzin


# - Declan Chisholm


# - Parker Wotherspoon

2nd Power Play Unit


# - Brennan Othmann


# - Raphael Lavoie


# - Kole Lind


# - Victtorio Mancini


# - Owen Pickering

Goalies


# - Ty Young


# - Hunter Miska

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1AdmiralsGulls2110000022020.50024601325064241734445056961142838200.00%40100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102450.0%11.8%85.7%97.5FUN
2AdmiralsMoose40200020813-540.50081018003250642495344450569618328286810440.00%9366.67%0571122946.46%607128547.24%40783248.92%149759415188681979102428.6%8.4%84.3%92.8Unlucky
3AdmiralsBruins20200000210-800.0002350032506424323444505696172221736500.00%6266.67%0571122946.46%607128547.24%40783248.92%149759415188681979102420.0%6.3%86.1%92.4Unlucky
4AdmiralsAmericans4010200189-150.6258122001325064248534445056961692927928225.00%11554.55%0571122946.46%607128547.24%40783248.92%149759415188681979102460.0%9.4%87.0%96.4FUN
5AdmiralsHeat3200100072561.0007132001325064244234445056961371217446116.67%60100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102475.0%16.7%94.6%111.3LUCKY
6AdmiralsWolves2100001063341.000691500325064243034445056961502012209333.33%6183.33%1571122946.46%607128547.24%40783248.92%149759415188681979102460.0%20.0%94.0%114.0LUCKY
7AdmiralsIceHogs40300100313-1010.125358003250642455344450569611184427654125.00%11372.73%0571122946.46%607128547.24%40783248.92%149759415188681979102416.7%5.5%89.0%94.4Unlucky
8AdmiralsEagles3210000075240.6677132000325064247034445056961641020517342.86%10280.00%0571122946.46%607128547.24%40783248.92%149759415188681979102457.1%10.0%92.2%102.2LUCKY
9AdmiralsMonsters2010100067-120.50067131032506424503444505696137814385240.00%7271.43%0571122946.46%607128547.24%40783248.92%149759415188681979102444.4%12.0%81.1%93.1FUN
10AdmiralsStars4100011197260.7509122100325064246334445056961572125667228.57%10370.00%0571122946.46%607128547.24%40783248.92%149759415188681979102463.6%14.3%87.7%102.0FUN
11AdmiralsGriffins44000000126681.00012203200325064241063444505696110951198814535.71%7185.71%0571122946.46%607128547.24%40783248.92%149759415188681979102458.3%11.3%94.5%105.8LUCKY
12AdmiralsCondors2110000043120.500461000325064242334445056961491711376233.33%3166.67%0571122946.46%607128547.24%40783248.92%149759415188681979102450.0%17.4%93.9%111.3LUCKY
13AdmiralsCheckers 12110000032120.50036901325064242834445056961227640300.00%30100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102460.0%10.7%90.9%101.6FUN
14AdmiralsReign2010010017-610.25011200325064242134445056961249529400.00%000.00%0571122946.46%607128547.24%40783248.92%149759415188681979102412.5%4.8%70.8%75.6Unlucky
15AdmiralsWild412001001111030.37511193000325064248734445056961642466910220.00%3166.67%0571122946.46%607128547.24%40783248.92%149759415188681979102447.4%12.6%82.8%95.5FUN
16AdmiralsRocket2010010015-410.25012300325064242434445056961226733600.00%110.00%0571122946.46%607128547.24%40783248.92%149759415188681979102420.0%4.2%77.3%81.4Unlucky
17AdmiralsComets2100000121130.75023501325064241034445056961288937200.00%20100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102466.7%20.0%96.4%116.4LUCKY
18AdmiralsIslanders2200000092741.0009162501325064242734445056961281120264375.00%5180.00%0571122946.46%607128547.24%40783248.92%149759415188681979102485.7%33.3%92.9%126.2LUCKY
19AdmiralsWolf Pack2020000015-400.000112003250642431344450569616719173311100.00%6183.33%0571122946.46%607128547.24%40783248.92%14975941518868197910240.0%3.2%92.5%95.8DULL
20AdmiralsBelleville Senators2100100085341.0008122000325064244834445056961562711437342.86%30100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102450.0%16.7%91.1%107.7Unlucky
21AdmiralsPhantoms2100001072541.000711180032506424263444505696136614347457.14%20100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102460.0%26.9%94.4%121.4LUCKY
22AdmiralsRoadrunners2020000016-500.000123103250642410344450569612061026500.00%5340.00%0571122946.46%607128547.24%40783248.92%149759415188681979102425.0%10.0%70.0%80.0FUN
23Admirals Penguins2100000144030.75047110032506424403444505696160306297114.29%4175.00%0571122946.46%607128547.24%40783248.92%149759415188681979102450.0%10.0%93.3%103.3LUCKY
24AdmiralsBarracuda2010001045-120.500459003250642420344450569612741027200.00%5260.00%2571122946.46%607128547.24%40783248.92%149759415188681979102457.1%20.0%81.5%101.5FUN
25AdmiralsThunderbirds4220000099040.500910191032506424933444505696115440456710220.00%10190.00%0571122946.46%607128547.24%40783248.92%149759415188681979102446.7%9.7%94.2%103.8LUCKY
26AdmiralsCrunch3000020147-330.50047110032506424473444505696161191645500.00%8187.50%0571122946.46%607128547.24%40783248.92%149759415188681979102440.0%8.5%88.5%97.0Unlucky
27AdmiralsMarlies20200000511-600.000581300325064244134445056961962119377228.57%7271.43%1571122946.46%607128547.24%40783248.92%149759415188681979102425.0%12.2%88.5%100.7FUN
28AdmiralsCanucks2020000014-300.000123003250642430344450569614292375120.00%10100.00%0571122946.46%607128547.24%40783248.92%14975941518868197910240.0%3.3%90.5%93.8Unlucky
29AdmiralsHershey Bears31200000812-420.3338101810325064245934445056961571336554125.00%3166.67%0571122946.46%607128547.24%40783248.92%149759415188681979102438.9%13.6%78.9%92.5FUN
30AdmiralsSilver Knights40301000312-920.2503360032506424463444505696171172561600.00%10550.00%0571122946.46%607128547.24%40783248.92%149759415188681979102430.0%6.5%83.1%89.6Unlucky
31AdmiralsCheckers 22010001034-120.5003471032506424293444505696149176258112.50%30100.00%0571122946.46%607128547.24%40783248.92%149759415188681979102433.3%10.3%91.8%102.2LUCKY
_Vs Division19812013312539-14280.737253863123250642422834445056961313878429839512.82%32875.00%2571122946.46%607128547.24%40783248.92%149759415188681979102439.2%11.0%87.5%98.5FUN
_Vs Conference4614200245184105-21470.511841272113232506424777344450569619403022627611012322.77%962573.96%2571122946.46%607128547.24%40783248.92%149759415188681979102443.3%10.8%88.8%99.6FUN
_Since Last GM Reset82233406775159194-35840.5121592434025632506424138534445056961174355749513961864624.73%1714374.85%4571122946.46%607128547.24%40783248.92%149759415188681979102442.8%11.5%88.9%100.3FUN
Total82233406775159194-35840.5121592434025632506424138534445056961174355749513961864624.73%1714374.85%4571122946.46%607128547.24%40783248.92%149759415188681979102442.8%11.5%88.9%100.3FUN

Puck Time
Offensive Zone 18
Neutral Zone 24
Defensive Zone 18
Puck Time
Offensive Zone Start 1229
Neutral Zone Start 832
Defensive Zone Start 1285
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1585
Faceoffs Lost 1761
Team Average Shots after League Average Shots after
1st Period 4.29.57
2nd Period 9.720.31
3rd Period 16.630.68
Overtime 17.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.01.65
3rd Period 1.82.67
Overtime 2.12.83
Even Strenght Goal 104
PP Goal 46
PK Goal 4
Empty Net Goal 5
Home Away
Win 1917
Lost 1717
Overtime Lost 57
PP Attempt 186
PP Goal 46
PK Attempt 171
PK Goal Against 43
Home
Shots For 16.9
Shots Against 21.3
Goals For 1.9
Goals Against 2.4
Hits 17.0
Shots Blocked 6.8
Pim 6.0
Schedule
DateMatchup Result Detail
Wed, Oct 8AdmiralsNAS@AdmiralsCHINAS1,CHI2 (OT)RECAP
Sat, Oct 11AdmiralsCAL@AdmiralsNASCAL1,NAS3RECAP
Tue, Oct 14AdmiralsTAM@AdmiralsNASTAM3,NAS2 (OT)RECAP
Thu, Oct 16AdmiralsNAS@AdmiralsBUFNAS3,BUF5RECAP
Sat, Oct 18AdmiralsSTL@AdmiralsNASSTL1,NAS6RECAP
Mon, Oct 20AdmiralsWPG@AdmiralsNASWPG8,NAS3RECAP
Tue, Oct 21AdmiralsNAS@AdmiralsDALNAS2,DAL1 (SO)RECAP
Fri, Oct 24AdmiralsBUF@AdmiralsNASBUF2,NAS3 (OT)RECAP
Sun, Oct 26AdmiralsNAS@AdmiralsMINNAS6,MIN2RECAP
Tue, Oct 28AdmiralsNAS@AdmiralsCOLNAS3,COL1RECAP
Wed, Oct 29AdmiralsNAS@AdmiralsSTLNAS2,STL1RECAP
Fri, Oct 31AdmiralsMIN@AdmiralsNASMIN4,NAS2RECAP
Mon, Nov 3AdmiralsDAL@AdmiralsNASDAL2,NAS5RECAP
Tue, Nov 4AdmiralsNAS@AdmiralsWASNAS3,WAS7RECAP
Thu, Nov 6AdmiralsDET@AdmiralsNASDET1,NAS2RECAP
Fri, Nov 7AdmiralsNAS@AdmiralsWPGNAS3,WPG2 (SO)RECAP
Mon, Nov 10AdmiralsNAS@AdmiralsDETNAS4,DET2RECAP
Wed, Nov 12AdmiralsOTT@AdmiralsNASOTT3,NAS4 (OT)RECAP
Thu, Nov 13AdmiralsDET@AdmiralsNASDET1,NAS2RECAP
Sun, Nov 16AdmiralsNAS@AdmiralsCOLNAS0,COL3RECAP
Mon, Nov 17AdmiralsTOR@AdmiralsNASTOR6,NAS2RECAP
Wed, Nov 19AdmiralsNAS@AdmiralsDETNAS4,DET2RECAP
Sat, Nov 22AdmiralsNYR@AdmiralsNASNYR3,NAS1RECAP
Sun, Nov 23AdmiralsNAS@AdmiralsCARNAS3,CAR2 (SO)RECAP
Tue, Nov 25AdmiralsFLO@AdmiralsNASFLO2,NAS1RECAP
Fri, Nov 28AdmiralsNAS@AdmiralsOTTNAS4,OTT2RECAP
Sat, Nov 29AdmiralsNAS@AdmiralsNJDNAS0,NJD1 (SO)RECAP
Mon, Dec 1AdmiralsBUF@AdmiralsNASBUF0,NAS1 (OT)RECAP
Wed, Dec 3AdmiralsMIN@AdmiralsNASMIN2,NAS1 (OT)RECAP
Fri, Dec 5AdmiralsNAS@AdmiralsCALNAS2,CAL1 (OT)RECAP
Mon, Dec 8AdmiralsNAS@AdmiralsMINNAS2,MIN3RECAP
Tue, Dec 9AdmiralsMTL@AdmiralsNASMTL3,NAS0RECAP
Fri, Dec 12AdmiralsNAS@AdmiralsBUFNAS1,BUF2 (SO)RECAP
Sat, Dec 13AdmiralsCAL@AdmiralsNASCAL0,NAS2RECAP
Tue, Dec 16AdmiralsNAS@AdmiralsCLBNAS3,CLB5RECAP
Wed, Dec 17AdmiralsANA@AdmiralsNASANA0,NAS2RECAP
Sat, Dec 20AdmiralsNJD@AdmiralsNASNJD0,NAS2RECAP
Sun, Dec 21AdmiralsNAS@AdmiralsDALNAS0,DAL1 (OT)RECAP
Wed, Dec 24AdmiralsNAS@AdmiralsVANNAS1,VAN2RECAP
Fri, Dec 26AdmiralsCLB@AdmiralsNASCLB2,NAS3 (OT)RECAP
Sun, Dec 28AdmiralsNAS@AdmiralsBOSNAS2,BOS3RECAP
Tue, Dec 30AdmiralsNYI@AdmiralsNASNYI2,NAS8RECAP
Fri, Jan 2AdmiralsNAS@AdmiralsSEANAS2,SEA1 (SO)RECAP
Mon, Jan 5AdmiralsTAM@AdmiralsNASTAM1,NAS0 (SO)RECAP
Wed, Jan 7AdmiralsWPG@AdmiralsNASWPG2,NAS0RECAP
Fri, Jan 9AdmiralsNAS@AdmiralsPHONAS0,PHO2RECAP
Sat, Jan 10AdmiralsNAS@AdmiralsTAMNAS2,TAM3 (OT)RECAP
Mon, Jan 12AdmiralsSTL@AdmiralsNASSTL2,NAS0RECAP
Thu, Jan 15AdmiralsLOS@AdmiralsNASLOS1,NAS0 (OT)RECAP
Fri, Jan 16AdmiralsNAS@AdmiralsNYINAS1,NYI0RECAP
Mon, Jan 19AdmiralsCHI@AdmiralsNASCHI5,NAS2RECAP
Wed, Jan 21AdmiralsPHI@AdmiralsNASPHI1,NAS2 (SO)RECAP
Fri, Jan 23AdmiralsNAS@AdmiralsWPGNAS2,WPG1 (SO)RECAP
Sun, Jan 25AdmiralsNAS@AdmiralsS JNAS3,S J2 (SO)RECAP
Mon, Jan 26AdmiralsNAS@AdmiralsPITNAS2,PIT3 (SO)RECAP
Wed, Jan 28AdmiralsCAR@AdmiralsNASCAR1,NAS3RECAP
Fri, Jan 30AdmiralsNAS@AdmiralsTORNAS3,TOR5RECAP
Sun, Feb 1AdmiralsS J@AdmiralsNASS J3,NAS1RECAP
Tue, Feb 3AdmiralsBOS@AdmiralsNASBOS7,NAS0RECAP
Fri, Feb 6AdmiralsCOL@AdmiralsNASCOL1,NAS4RECAP
Sun, Feb 8AdmiralsNAS@AdmiralsLOSNAS1,LOS6RECAP
Mon, Feb 9AdmiralsNAS@AdmiralsFLONAS2,FLO0RECAP
Wed, Feb 11AdmiralsEDM@AdmiralsNASEDM1,NAS3RECAP
Fri, Feb 13AdmiralsNAS@AdmiralsWASNAS4,WAS2RECAP
Sun, Feb 15AdmiralsWAS@AdmiralsNASWAS3,NAS1RECAP
Wed, Feb 18AdmiralsNAS@AdmiralsCHINAS0,CHI2RECAP
Thu, Feb 19AdmiralsNAS@AdmiralsPHINAS5,PHI1RECAP
Fri, Feb 20AdmiralsDAL@AdmiralsNASDAL3,NAS2 (SO)RECAP
Mon, Feb 23AdmiralsPHO@AdmiralsNASPHO4,NAS1RECAP
Thu, Feb 26AdmiralsCHI@AdmiralsNASCHI1,NAS2 (OT)RECAP
Fri, Feb 27AdmiralsNAS@AdmiralsCHINAS0,CHI3RECAP
Mon, Mar 2AdmiralsCHI@AdmiralsNASCHI6,NAS1RECAP
Tue, Mar 3AdmiralsNAS@AdmiralsSTLNAS1,STL5RECAP
Thu, Mar 5AdmiralsNAS@AdmiralsANANAS0,ANA2RECAP
Sat, Mar 7AdmiralsNAS@AdmiralsMTLNAS1,MTL2 (OT)RECAP
Sun, Mar 8AdmiralsSEA@AdmiralsNASSEA3,NAS1RECAP
Tue, Mar 10AdmiralsNAS@AdmiralsCHINAS0,CHI3RECAP
Thu, Mar 12AdmiralsNAS@AdmiralsNYRNAS0,NYR2RECAP
Sat, Mar 14AdmiralsCHI@AdmiralsNASCHI3,NAS0RECAP
Tue, Mar 17AdmiralsPIT@AdmiralsNASPIT1,NAS2RECAP
Wed, Mar 18AdmiralsNAS@AdmiralsEDMNAS1,EDM2RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Mon, Mar 23AdmiralsVAN@AdmiralsNASVAN2,NAS0RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
4,230,000$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityMilwaukee
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
Attendance00
Attendance PCT0.00%0.00%0.00%0.00%0.00%

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

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
4,230,000$ 4,230,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
4,868,566$ 0$ 4,368,505$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 22 27,988$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Admirals36-34-12, 84pts12Final
Condors37-35-10, 84pts

Canucks51-23-8, 110pts20Final
Admirals36-34-12, 84pts

Canucks51-23-8, 110ptsTue, Mar 24
Admirals36-34-12, 84pts

Heat23-51-8, 54ptsSun, Oct 12
Admirals36-34-12, 84pts

Crunch43-28-11, 97ptsWed, Oct 15
Admirals36-34-12, 84pts

TRANSACTIONS



 

Team Info

Admirals
Head CoachTroy Mann
DivisionCentral Division
CityMilwaukee
Stadium Capacity3,000

Admirals Affiliation

Admirals
General ManagerManuel Beaulieu
Head CoachJared Bednar
StadiumGaylord Ent. Center
Capacity19,113

Team Leaders


GOALS
Tye Kartye
AdmiralsAdmirals
24
GOALS
POINTS
Tye Kartye
AdmiralsAdmirals
56
POINTS
WINS
Ty Young
AdmiralsAdmirals
23
WINS
Expanded Player Leaderboard

Team Stats


Goals For
159
1.94 GFG
Goals Against
194
2.37 GAA
Power Play Percentage
24.7%
46 GF
Penalty Kill Percentage
74.9%
43 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain