AdmiralsMilwaukee Admirals
37-15-5, 79pts · 3rd 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
Dmitri Voronkov (R)0C/LW/RW99.007057677083767076607072687253501506923975,000$/3yrs
Adam Ruzicka0C/LW99.0064448671888176717268646669635415068251,500,000$/3yrs
Josh Leivo0LW/RW98.0070567072747980724169636670786815068312,000,000$/3yrs
Tye Kartye0C/LW99.008052707576757172496768707153501506823975,000$/2yrs
Bobby McMann0LW/RW98.0073576972767571724463706671575015067281,000,000$/2yrs
Axel Jonsson-Fjallby0LW99.0069418574797870694364636769595015066261,200,000$/4yrs
Kole Lind0RW100.0063486272646866674666616767535015064251,500,000$/3yrs
Raphael Lavoie0C/RW100.0066476467706463664462636165515015062231,200,000$/4yrs
Vasily Podkolzin0LW/RW100.006446757071716567466161616654501506223975,000$/1yrs
Shane Wright (R)0C100.006341696863595863436262626450501506120975,000$/3yrs
Justin Barron0D99.006546807583837172406768707158501506922975,000$/1yrs
Parker Wotherspoon0D99.0065636573737866664064577265565015066261,000,000$/1yrs
Declan Chisholm0D100.0057467573737667684066616868565015066241,200,000$/4yrs
Alex Petrovic0D100.006345656468737364406156676265581506432975,000$/2yrs
Brandt Clarke (R)0D100.006142636863626064406360666450501506221975,000$/3yrs
Adam Ginning0D100.006448596667646362405954646152501506124975,000$/2yrs
Lucas Johansen0D100.0061427269626462584055536660545015061261,200,000$/2yrs
Colton Poolman0D100.0061427466636968604054536660575015061281,000,000$/2yrs
Scratches
Brennan Othmann (R)0C/LW/RW100.005645616362626164436361546350501505921975,000$/3yrs
Aidan Dudas0LW100.0053436871536564634260565363515015059241,000,000$/2yrs
Jake Wise (R)0C/LW/RW100.005841686362636260425956555951501505824975,000$/3yrs
Danila Klimovich0RW100.006743686667595759415354615950501505821975,000$/1yrs
Zach Dean (R)0C100.005641686362626060415556546050501505721975,000$/3yrs
Patrick Khodorenko0C/LW/RW100.0059466061616360584558526057525015057251,000,000$/2yrs
Sam Houde0C100.005540686559616058555554525952501505624975,000$/2yrs
Jack Badini0C100.0061456960656360545050505455535015055261,000,000$/2yrs
Dylan Blujus0D100.006245686467676657405252675759501506130
Billy Sweezey0D100.0059545963656968594053526358575115060281,000,000$/1yrs
Max Gildon0D100.0061456366656362604055526359525015060251,000,000$/2yrs
Alex Kannok-Leipert0D100.006558596964616056405151675950501506023975,000$/1yrs
Carson Lambos (R)0D100.005944626363626162405757596150501505921975,000$/3yrs
Adam Brubacher0D100.006245656267646154405151635655501505928975,000$/1yrs
Josh Maniscalco0D100.006342716366636157405352635852501505925975,000$/2yrs
Simon Johansson0D100.005543666662676663405757586252501505925975,000$/2yrs
Leo Loof (R)0D100.005841676362636259405654605950501505822975,000$/3yrs
Connor Corcoran0D100.006142686765595754405051625751501505823975,000$/1yrs
Zach Uens (R)0D100.005944656863585654405151605750501505723975,000$/3yrs
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Dustin Wolf098.007970726574757476767567555115067231,200,000$/4yrs
Ivan Prosvetov0100.007771717572737272737366605515066251,500,000$/2yrs
Scratches
Antoine Bibeau0100.007166656767656764656765595215061301,700,000$/4yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Troy Mann6261646162571CAN542500,000$
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
1Dmitri VoronkovAdmiralsAdmirals (NAS)C/LW/RW572838661610545821675810316.77%2322.02714212021045053.58%011.16260.90
2Tye KartyeAdmiralsAdmirals (NAS)C/LW57223456135925105130397416.92%1819.698152300002242.04%000.98340.80
3Josh LeivoAdmiralsAdmirals (NAS)LW/RW57192645194515107138566913.77%2221.921120221166040.00%100.79360.79
4Adam RuzickaAdmiralsAdmirals (NAS)C/LW571821399191558111286416.22%1820.49123123856258.94%010.68250.68
5Bobby McMannAdmiralsAdmirals (NAS)LW/RW571818369462087116518215.52%1820.408412101734041.49%000.63110.58
6Axel Jonsson-FjallbyAdmiralsAdmirals (NAS)LW57121628511559103326511.65%1819.68134101425136.59%000.49000.52
7Justin BarronAdmiralsAdmirals (NAS)D5742327164620618826344.55%6525.56369033123010.00%000.47110.46
8Parker WotherspoonAdmiralsAdmirals (NAS)D5722224179745816427303.13%6625.18156011114010.00%000.42000.25
9Vasily PodkolzinAdmiralsAdmirals (NAS)LW/RW577815900578121418.64%915.4400000022034.62%000.26000.38
10Kole LindAdmiralsAdmirals (NAS)RW5768147295699228556.52%1415.9200000002140.91%000.25000.30
11Raphael LavoieAdmiralsAdmirals (NAS)C/RW575712115020765816398.62%1615.2500000000044.78%000.21000.17
12Declan ChisholmAdmiralsAdmirals (NAS)D57279143915264020215.00%2619.6920200073000.00%000.16000.15
13Adam GinningAdmiralsAdmirals (NAS)D5717881402316666.25%1714.64000000800100.00%000.14000.13
14Alex PetrovicAdmiralsAdmirals (NAS)D5708811351542251490.00%3520.4001102288000.00%000.14000.11
15Brandt ClarkeAdmiralsAdmirals (NAS)D57055235152524670.00%2815.43000000320066.67%000.09000.02
16Shane WrightAdmiralsAdmirals (NAS)C571013201530433.33%14.28000000150050.98%000.02000.03
17Lucas JohansenAdmiralsAdmirals (NAS)D5700020020000.00%01.41000000100100.00%000.00000.01
18Colton PoolmanAdmiralsAdmirals (NAS)D5700000020000.00%00.320000000000.00%000.00000.00
Team Total or Average1026145248393171632260977125642870311.54%39416.543251839695101588432850.39%2564289314120.461223
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
1Dustin WolfAdmiralsAdmirals (NAS)49301450.9081.87295309921004503420.66724498234
2Ivan ProsvetovAdmiralsAdmirals (NAS)97100.9311.694960114203108000.0000849011
Team Total or Average58371550.9121.8434490101061207611420.667245757245
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Adam Brubacher D28975,000$975,000$ UFA
Adam Ginning D24975,000$975,000$ 975,000$ RFA
Adam Ruzicka C/LW251,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Aidan Dudas LW241,000,000$1,000,000$ 1,000,000$ RFA
Alex Kannok-Leipert D23975,000$975,000$ RFA
Alex Petrovic D32975,000$975,000$ 975,000$ UFA
Antoine Bibeau G301,700,000$1,700,000$ 1,700,000$ 1,700,000$ 1,700,000$ UFA
Axel Jonsson-Fjallby LW261,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Billy Sweezey D281,000,000$1,000,000$ UFA
Bobby McMann LW/RW281,000,000$1,000,000$ 1,000,000$ UFA
Brandt Clarke D21975,000$975,000$ 975,000$ 975,000$ RFA
Brennan Othmann C/LW/RW21975,000$975,000$ 975,000$ 975,000$ RFA
Carson Lambos D21975,000$975,000$ 975,000$ 975,000$ RFA
Colton Poolman D281,000,000$1,000,000$ 1,000,000$ UFA
Connor Corcoran D23975,000$975,000$ RFA
Danila Klimovich RW21975,000$975,000$ RFA
Declan Chisholm D241,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Dmitri Voronkov C/LW/RW23975,000$975,000$ 975,000$ 975,000$ RFA
Dustin Wolf G231,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ RFA
Dylan Blujus D300$UFA
Ivan Prosvetov G251,500,000$1,500,000$ 1,500,000$ RFA
Jack Badini C261,000,000$1,000,000$ 1,000,000$ UFA
Jake Wise C/LW/RW24975,000$975,000$ 975,000$ 975,000$ RFA
Josh Leivo LW/RW312,000,000$2,000,000$ 2,000,000$ 2,000,000$ UFA
Josh Maniscalco D25975,000$975,000$ 975,000$ RFA
Justin Barron D22975,000$975,000$ RFA
Kole Lind RW251,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Leo Loof D22975,000$975,000$ 975,000$ 975,000$ RFA
Lucas Johansen D261,200,000$1,200,000$ 1,200,000$ UFA
Max Gildon D251,000,000$1,000,000$ 1,000,000$ RFA
Parker Wotherspoon D261,000,000$1,000,000$ UFA
Patrick Khodorenko C/LW/RW251,000,000$1,000,000$ 1,000,000$ UFA
Raphael Lavoie C/RW231,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Sam Houde C24975,000$975,000$ 975,000$ RFA
Shane Wright C20975,000$975,000$ 975,000$ 975,000$ RFA
Simon Johansson D25975,000$975,000$ 975,000$ RFA
Tye Kartye C/LW23975,000$975,000$ 975,000$ RFA
Vasily Podkolzin LW/RW23975,000$975,000$ RFA
Zach Dean C21975,000$975,000$ 975,000$ 975,000$ RFA
Zach Uens D23975,000$975,000$ 975,000$ 975,000$ RFA

Lines
Forward Lines


# - Josh Leivo


# - Adam Ruzicka


# - Dmitri Voronkov


# - Axel Jonsson-Fjallby


# - Tye Kartye


# - Bobby McMann


# - Vasily Podkolzin


# - Raphael Lavoie


# - Kole Lind


# - Tye Kartye


# - Dmitri Voronkov


# - Josh Leivo

Defensive Pairings


# - Justin Barron


# - Parker Wotherspoon


# - Declan Chisholm


# - Alex Petrovic


# - Brandt Clarke


# - Adam Ginning

1st Power Play Unit


# - Tye Kartye


# - Dmitri Voronkov


# - Bobby McMann


# - Justin Barron


# - Parker Wotherspoon

2nd Power Play Unit


# - Axel Jonsson-Fjallby


# - Adam Ruzicka


# - Josh Leivo


# - Declan Chisholm


# - Alex Petrovic

Goalies


# - Dustin Wolf


# - Ivan Prosvetov

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
1AdmiralsGulls2000011044030.75046100026684815323394844193725112827200.00%4175.00%049295751.41%48995351.31%31162549.76%10764701048588132867457.1%12.5%84.0%96.5FUN
2AdmiralsMoose3210000051440.667591402266848154333948441937161332505360.00%6183.33%049295751.41%48995351.31%31162549.76%107647010485881328674100.0%11.6%93.8%105.4LUCKY
3AdmiralsBruins2010100025-320.5002350026684815493394844193760165229400.00%6183.33%049295751.41%48995351.31%31162549.76%10764701048588132867433.3%4.1%91.7%95.7DULL
4AdmiralsHeat2100001063341.0006915002668481555339484419372592382150.00%10100.00%149295751.41%48995351.31%31162549.76%10764701048588132867462.5%10.9%88.0%98.9FUN
5AdmiralsWolves1100000042221.00048120026684815203394844193736103315200.00%4175.00%049295751.41%48995351.31%31162549.76%10764701048588132867480.0%20.0%94.4%114.4LUCKY
6AdmiralsIceHogs1100000020221.000246012668481518339484419371124183133.33%20100.00%049295751.41%48995351.31%31162549.76%107647010485881328674100.0%11.1%100.0%111.1LUCKY
7AdmiralsEagles1100000030321.00036901266848152233948441937245618100.00%30100.00%049295751.41%48995351.31%31162549.76%107647010485881328674100.0%13.6%100.0%113.6LUCKY
8AdmiralsMonsters2110000043120.50046100126684815423394844193725410326116.67%5260.00%049295751.41%48995351.31%31162549.76%10764701048588132867475.0%9.5%88.0%97.5FUN
9AdmiralsStars3110001063340.667671301266848154833948441937381485211218.18%40100.00%049295751.41%48995351.31%31162549.76%10764701048588132867457.1%12.5%92.1%104.6LUCKY
10AdmiralsGriffins422000001514140.50015254000266848151003394844193714744866313646.15%13561.54%049295751.41%48995351.31%31162549.76%10764701048588132867450.0%15.0%90.5%105.5FUN
11AdmiralsCondors2200000093641.000917260026684815573394844193724122286233.33%10100.00%149295751.41%48995351.31%31162549.76%10764701048588132867470.0%15.8%87.5%103.3FUN
12AdmiralsCheckers 11000010034-110.500358002668481519339484419371632185240.00%110.00%049295751.41%48995351.31%31162549.76%10764701048588132867425.0%15.8%75.0%90.8FUN
13AdmiralsWild3210000042240.6674610022668481575339484419373062559300.00%100100.00%049295751.41%48995351.31%31162549.76%10764701048588132867466.7%5.3%93.3%98.7DULL
14AdmiralsRocket2010001036-320.50034700266848152633948441937451221395120.00%8537.50%049295751.41%48995351.31%31162549.76%10764701048588132867466.7%11.5%86.7%98.2FUN
15AdmiralsComets32000010147761.00014223600266848158333948441937892732637114.29%11281.82%049295751.41%48995351.31%31162549.76%10764701048588132867472.2%16.9%92.1%109.0LUCKY
16AdmiralsIslanders2200000051441.0005914012668481551339484419373291832300.00%40100.00%049295751.41%48995351.31%31162549.76%10764701048588132867483.3%9.8%96.9%106.7LUCKY
17AdmiralsBelleville Senators2110000055020.5005611002668481546339484419374086276116.67%3233.33%049295751.41%48995351.31%31162549.76%10764701048588132867457.1%10.9%87.5%98.4FUN
18AdmiralsRoadrunners1100000031221.00036900266848151133948441937138213000.00%10100.00%049295751.41%48995351.31%31162549.76%10764701048588132867475.0%27.3%92.3%119.6LUCKY
19Admirals Penguins22000000104641.00010182800266848155333948441937662362375360.00%11190.91%049295751.41%48995351.31%31162549.76%10764701048588132867470.0%18.9%93.9%112.8LUCKY
20AdmiralsBarracuda1100000041321.00046100026684815233394844193713317133133.33%10100.00%149295751.41%48995351.31%31162549.76%10764701048588132867475.0%17.4%92.3%109.7LUCKY
21AdmiralsThunderbirds31200000810-220.33381422002668481571339484419371043844536350.00%12375.00%049295751.41%48995351.31%31162549.76%10764701048588132867441.7%11.3%90.4%101.7FUN
22AdmiralsCrunch2100010053230.750591400266848154233948441937471432378112.50%6183.33%149295751.41%48995351.31%31162549.76%10764701048588132867466.7%11.9%93.6%105.5LUCKY
23AdmiralsMarlies422000001111040.5001120311026684815110339484419371283531657228.57%8275.00%049295751.41%48995351.31%31162549.76%10764701048588132867450.0%10.0%91.4%101.4LUCKY
24AdmiralsCanucks1000100021121.0002350026684815163394844193755913100.00%20100.00%149295751.41%48995351.31%31162549.76%10764701048588132867466.7%12.5%80.0%92.5FUN
25AdmiralsHershey Bears2010000136-310.25035810266848154733948441937592636346116.67%3166.67%049295751.41%48995351.31%31162549.76%10764701048588132867428.6%6.4%89.8%96.2Unlucky
26AdmiralsSilver Knights3200100062461.0006915012668481553339484419372761468200.00%20100.00%049295751.41%48995351.31%31162549.76%10764701048588132867475.0%11.3%92.6%103.9LUCKY
27AdmiralsCheckers 22010010047-310.25046100026684815443394844193764311836400.00%9188.89%049295751.41%48995351.31%31162549.76%10764701048588132867440.0%9.1%89.1%98.2FUN
_Vs Division1311701010352114261.000355691012668481528033948441937183779022320420.00%20290.00%449295751.41%48995351.31%31162549.76%10764701048588132867462.0%12.5%88.5%101.0FUN
_Vs Conference3117801230795128440.71079130209082668481565233948441937561202288536611931.15%691184.06%349295751.41%48995351.31%31162549.76%10764701048588132867460.0%12.1%90.9%103.0FUN
_Since Last GM Reset5729150345115010941790.6931502483982102668481512563394844193712093946329771263225.40%1413078.72%549295751.41%48995351.31%31162549.76%10764701048588132867459.9%11.9%91.0%102.9FUN
Total5729150345115010941790.6931502483982102668481512563394844193712093946329771263225.40%1413078.72%549295751.41%48995351.31%31162549.76%10764701048588132867459.9%11.9%91.0%102.9FUN

Puck Time
Offensive Zone 18
Neutral Zone 23
Defensive Zone 18
Puck Time
Offensive Zone Start 957
Neutral Zone Start 625
Defensive Zone Start 953
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1292
Faceoffs Lost 1243
Team Average Shots after League Average Shots after
1st Period 5.99.57
2nd Period 14.420.31
3rd Period 21.830.68
Overtime 22.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.61.65
3rd Period 2.52.67
Overtime 2.82.83
Even Strenght Goal 111
PP Goal 32
PK Goal 5
Empty Net Goal 2
Home Away
Win 1918
Lost 69
Overtime Lost 32
PP Attempt 126
PP Goal 32
PK Attempt 141
PK Goal Against 30
Home
Shots For 22.0
Shots Against 21.2
Goals For 2.6
Goals Against 1.9
Hits 17.1
Shots Blocked 6.9
Pim 11.1
Schedule
DateMatchup Result Detail
Sun, Oct 13AdmiralsSTL@AdmiralsNASSTL2,NAS3RECAP
Mon, Oct 14AdmiralsNAS@AdmiralsTORNAS2,TOR4RECAP
Wed, Oct 16AdmiralsNAS@AdmiralsWPGNAS1,WPG0RECAP
Fri, Oct 18AdmiralsNAS@AdmiralsDETNAS1,DET2RECAP
Sun, Oct 20AdmiralsDET@AdmiralsNASDET6,NAS2RECAP
Tue, Oct 22AdmiralsWPG@AdmiralsNASWPG0,NAS4RECAP
Thu, Oct 24AdmiralsNAS@AdmiralsSTLNAS2,STL3RECAP
Sat, Oct 26AdmiralsSEA@AdmiralsNASSEA3,NAS2 (OT)RECAP
Sun, Oct 27AdmiralsNAS@AdmiralsDALNAS0,DAL1RECAP
Tue, Oct 29AdmiralsNJD@AdmiralsNASNJD2,NAS5RECAP
Fri, Nov 1AdmiralsNAS@AdmiralsTORNAS4,TOR2RECAP
Sun, Nov 3AdmiralsNAS@AdmiralsMINNAS3,MIN0RECAP
Mon, Nov 4AdmiralsMIN@AdmiralsNASMIN2,NAS0RECAP
Thu, Nov 7AdmiralsCHI@AdmiralsNASCHI0,NAS2RECAP
Sat, Nov 9AdmiralsCAL@AdmiralsNASCAL1,NAS2 (SO)RECAP
Sun, Nov 10AdmiralsNAS@AdmiralsCHINAS2,CHI1RECAP
Tue, Nov 12AdmiralsNAS@AdmiralsNJDNAS5,NJD4 (SO)RECAP
Fri, Nov 15AdmiralsMTL@AdmiralsNASMTL2,NAS3 (SO)RECAP
Sat, Nov 16AdmiralsNAS@AdmiralsANANAS2,ANA3 (OT)RECAP
Mon, Nov 18AdmiralsANA@AdmiralsNASANA1,NAS2 (SO)RECAP
Wed, Nov 20AdmiralsNAS@AdmiralsCLBNAS2,CLB3RECAP
Fri, Nov 22AdmiralsFLO@AdmiralsNASFLO4,NAS3 (OT)RECAP
Sun, Nov 24AdmiralsNAS@AdmiralsNYINAS2,NYI0RECAP
Wed, Nov 27AdmiralsCLB@AdmiralsNASCLB0,NAS2RECAP
Thu, Nov 28AdmiralsEDM@AdmiralsNASEDM1,NAS6RECAP
Sun, Dec 1AdmiralsNAS@AdmiralsWASNAS1,WAS3RECAP
Mon, Dec 2AdmiralsNAS@AdmiralsMINNAS1,MIN0RECAP
Wed, Dec 4AdmiralsBOS@AdmiralsNASBOS1,NAS2 (OT)RECAP
Sat, Dec 7AdmiralsDET@AdmiralsNASDET4,NAS5RECAP
Mon, Dec 9AdmiralsNAS@AdmiralsTAMNAS1,TAM2 (OT)RECAP
Thu, Dec 12AdmiralsNAS@AdmiralsDALNAS3,DAL2 (SO)RECAP
Sat, Dec 14AdmiralsOTT@AdmiralsNASOTT4,NAS3RECAP
Mon, Dec 16AdmiralsSTL@AdmiralsNASSTL5,NAS3RECAP
Wed, Dec 18AdmiralsNAS@AdmiralsCHINAS2,CHI1 (OT)RECAP
Fri, Dec 20AdmiralsPHO@AdmiralsNASPHO1,NAS3RECAP
Sun, Dec 22AdmiralsNAS@AdmiralsOTTNAS2,OTT1RECAP
Tue, Dec 24AdmiralsNJD@AdmiralsNASNJD1,NAS4RECAP
Thu, Dec 26AdmiralsNAS@AdmiralsPITNAS6,PIT2RECAP
Sat, Dec 28AdmiralsNAS@AdmiralsEDMNAS3,EDM2RECAP
Mon, Dec 30AdmiralsTOR@AdmiralsNASTOR4,NAS0RECAP
Wed, Jan 1AdmiralsNAS@AdmiralsBOSNAS0,BOS4RECAP
Fri, Jan 3AdmiralsPIT@AdmiralsNASPIT2,NAS4RECAP
Sat, Jan 4AdmiralsNAS@AdmiralsTORNAS5,TOR1RECAP
Mon, Jan 6AdmiralsVAN@AdmiralsNASVAN1,NAS2 (OT)RECAP
Wed, Jan 8AdmiralsNYI@AdmiralsNASNYI1,NAS3RECAP
Fri, Jan 10AdmiralsNAS@AdmiralsCALNAS4,CAL2RECAP
Sun, Jan 12AdmiralsNAS@AdmiralsCARNAS4,CAR2RECAP
Mon, Jan 13AdmiralsNAS@AdmiralsCOLNAS3,COL0RECAP
Wed, Jan 15AdmiralsSEA@AdmiralsNASSEA4,NAS2RECAP
Fri, Jan 17AdmiralsNAS@AdmiralsMTLNAS0,MTL4RECAP
Sun, Jan 19AdmiralsDAL@AdmiralsNASDAL0,NAS3RECAP
Tue, Jan 21AdmiralsCHI@AdmiralsNASCHI0,NAS2RECAP
Thu, Jan 23AdmiralsNAS@AdmiralsWPGNAS0,WPG1RECAP
Sat, Jan 25AdmiralsTAM@AdmiralsNASTAM1,NAS4RECAP
Mon, Jan 27AdmiralsWAS@AdmiralsNASWAS3,NAS2 (SO)RECAP
Wed, Jan 29AdmiralsNAS@AdmiralsDETNAS7,DET2RECAP
Fri, Jan 31AdmiralsNAS@AdmiralsS JNAS4,S J1RECAP
Sun, Feb 2AdmiralsNAS@AdmiralsBUF
Tue, Feb 4AdmiralsCAR@AdmiralsNAS
Thu, Feb 6AdmiralsCHI@AdmiralsNAS
Sat, Feb 8AdmiralsNAS@AdmiralsLOS
Mon, Feb 10AdmiralsBUF@AdmiralsNAS
Wed, Feb 12AdmiralsNAS@AdmiralsSEA
Fri, Feb 14AdmiralsNYR@AdmiralsNAS
Sun, Feb 16AdmiralsNAS@AdmiralsNYR
Mon, Feb 17AdmiralsCAL@AdmiralsNAS
Thu, Feb 20AdmiralsNAS@AdmiralsPHO
Sat, Feb 22AdmiralsNAS@AdmiralsFLO
Sun, Feb 23AdmiralsPHI@AdmiralsNAS
Tue, Feb 25AdmiralsNAS@AdmiralsVAN
Thu, Feb 27AdmiralsNAS@AdmiralsSTL
Fri, Feb 28AdmiralsLOS@AdmiralsNAS
Mon, Mar 3AdmiralsCHI@AdmiralsNAS
Thu, Mar 6AdmiralsNAS@AdmiralsPHI
Fri, Mar 7AdmiralsCOL@AdmiralsNAS
Sat, Mar 8AdmiralsNAS@AdmiralsDET
Mon, Mar 10AdmiralsNAS@AdmiralsCHI
Thu, Mar 13AdmiralsMIN@AdmiralsNAS
Trade Deadline --- Trades can’t be done after this day is simulated!
Mon, Mar 17AdmiralsWPG@AdmiralsNAS
Fri, Mar 21AdmiralsNAS@AdmiralsCHI
Sat, Mar 22AdmiralsDAL@AdmiralsNAS
Tue, Mar 25AdmiralsS J@AdmiralsNAS

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
4,267,500$ 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
13 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
4,267,500$ 4,267,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
3,163,706$ 0$ 2,832,300$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 84 28,210$ 1,607,970$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
1,607,970$ 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

Admirals37-15-5, 79pts72Final
Griffins36-14-7, 79pts

Admirals37-15-5, 79pts41Final
Barracuda27-24-6, 60pts

Admirals37-15-5, 79ptsSat, Feb 01
Barracuda27-24-6, 60pts

Admirals37-15-5, 79ptsTue, Oct 15
Marlies29-19-7, 65pts

Admirals37-15-5, 79ptsThu, Oct 17
Moose24-18-13, 61pts

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
Dmitri Voronkov
AdmiralsAdmirals
28
GOALS
POINTS
Dmitri Voronkov
AdmiralsAdmirals
66
POINTS
WINS
Dustin Wolf
AdmiralsAdmirals
30
WINS
Expanded Player Leaderboard

Team Stats


Goals For
150
2.63 GFG
Goals Against
109
1.91 GAA
Power Play Percentage
25.4%
32 GF
Penalty Kill Percentage
78.7%
30 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain