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Milwaukee Admirals
GP: 31 | W: 8 | L: 19 | OTL: 4 | P: 20
GF: 65 | GA: 105 | PP%: 31.75% | PK%: 58.00%
GM : Patrick | Morale : 83 | Team Overall : 55
Next Games #495 vs Florida Everblades
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Game Center
Milwaukee Admirals
8-19-4, 20pts
3
FINAL
4 Cape Breton Roaring Moose
15-8-7, 37pts
Team Stats
W1StreakW3
5-7-3Home Record7-4-4
3-12-1Home Record8-4-3
3-5-2Last 10 Games4-2-4
2.10Goals Per Game3.37
3.39Goals Against Per Game3.07
31.75%Power Play Percentage23.38%
58.00%Penalty Kill Percentage74.24%
Tucson Roadrunners
13-12-5, 31pts
3
FINAL
5 Milwaukee Admirals
8-19-4, 20pts
Team Stats
L1StreakW1
7-5-3Home Record5-7-3
6-7-2Home Record3-12-1
6-2-2Last 10 Games3-5-2
3.93Goals Per Game2.10
4.07Goals Against Per Game3.39
28.38%Power Play Percentage31.75%
74.07%Penalty Kill Percentage58.00%
Florida Everblades
11-15-3, 25pts
Day 67
Milwaukee Admirals
8-19-4, 20pts
Team Stats
W1StreakW1
5-9-2Home Record5-7-3
6-6-1Away Record3-12-1
4-5-1Last 10 Games3-5-2
4.31Goals Per Game2.10
4.62Goals Against Per Game2.10
34.15%Power Play Percentage31.75%
57.69%Penalty Kill Percentage58.00%
Milwaukee Admirals
8-19-4, 20pts
Day 69
Providence Bruins
21-9-2, 44pts
Team Stats
W1StreakW1
5-7-3Home Record9-5-1
3-12-1Away Record12-4-1
3-5-2Last 10 Games8-1-1
2.10Goals Per Game4.16
3.39Goals Against Per Game4.16
31.75%Power Play Percentage34.18%
58.00%Penalty Kill Percentage73.86%
Henderson Silver Knights
18-7-4, 40pts
Day 71
Milwaukee Admirals
8-19-4, 20pts
Team Stats
W1StreakW1
10-2-4Home Record5-7-3
8-5-0Away Record3-12-1
6-3-1Last 10 Games3-5-2
3.76Goals Per Game2.10
3.00Goals Against Per Game2.10
42.62%Power Play Percentage31.75%
66.67%Penalty Kill Percentage58.00%
Team Leaders
William LockwoodGoals
William Lockwood
12
Adam EdstromAssists
Adam Edstrom
14
Adam EdstromPoints
Adam Edstrom
23
Luke ProkopPlus/Minus
Luke Prokop
1
Yaroslav AskarovWins
Yaroslav Askarov
5
Yaroslav AskarovSave Percentage
Yaroslav Askarov
0.907

Team Stats
Goals For
65
2.10 GFG
Shots For
697
22.48 Avg
Power Play Percentage
31.7%
20 GF
Offensive Zone Start
34.7%
Goals Against
105
3.39 GAA
Shots Against
873
28.16 Avg
Penalty Kill Percentage
58.0%%
21 GA
Defensive Zone Start
37.7%
Team Info

General ManagerPatrick
CoachJohn Gruden
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,861
Season Tickets750


Roster Info

Pro Team32
Farm Team20
Contract Limit52 / 65
Prospects38


Team History

This Season8-19-4 (20PTS)
History133-172-36 (0.390%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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
1Adam Edstrom0XX100.00835984789254686225585969255151067620251750,000$
2Trey Fix-Wolansky0X99.00676572696577806650636661634444069620261775,000$
3Jaroslav Chmelar (R)0XX100.00838480668480875650525667534444040600223850,000$
4William Lockwood0X99.00869189696551606450596469624949065600271775,000$
5Amadeus Lombardi (R)0X100.00726491666451476680626764644444063590222850,000$
6Nico Myatovic (R)0X100.007873906573737953504754635144440685702121,000,000$
7Lucas Ciona (R)0X100.00757869657876835150494861464444067560222750,000$
8Rem Pitlick0XXX100.007670896970413759746548644644440675602811,100,000$
9Ryan McGregor0XX100.00797198657147465265534664444444068540261775,000$
10Patrick Harper0XX100.00505050505050505050505050505050062480271750,000$
11Adam Wilsby0X99.00714391726975576225524881254646068640251750,000$
12Kevin Korchinski0X100.005740857769718765254548682555550676302121,500,000$
13Spencer Stastney0X100.00614194766769656025504778254950067630251750,000$
14Jordan Harris0X100.00694293716757556125504873256060067610251825,000$
15Ryan Ufko (R)0X100.00736493686481895225464361414444064600223900,000$
16Ty Smith0X100.00696675676660616125554965475959068600251750,000$
17Luke Prokop (R)0X100.00878493618452544525354066384444062570232950,000$
18Mason Geertsen0XX100.00748646648652534850474460424444068560301775,000$
Scratches
1Tyler Benson0XX100.00505050505050505050505050505050046480271750,000$
2Tanner Kaspick0X100.00505050505050505050505050505050044480271750,000$
3Collin Adams0XX100.00505050505050505050505050505050044480271750,000$
4Vitali Kravtsov0XX100.00505050505050505050505050505050044480251750,000$
5Victor Rask0XX100.00505050505050505050505050505050044480321750,000$
6Jack Rathbone0X100.00696676656672785025434258404444046560261800,000$
7Hardy Haman Aktell0X100.00767481667442415025473962374444044540272900,000$
8Artem Guryev (R)0X100.00708436658454574425324157394444044530222800,000$
9Victor Soderstrom0X100.00505050505050505050505050505050044480241750,000$
10Ryan Merkley0X100.00505050505050505050505050505050044480251750,000$
TEAM AVERAGE99.8967627263665860554350506144484805856
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
1Yaroslav Askarov (R)0100.00595453726552696065597545450755902311,500,000$
2Ty Young (R)099.0051405074545154575454304444071530213800,000$
Scratches
1Daniil Chechelev (R)0100.0050505050505050505050505050060500241750,000$
2Callum Booth0100.0050505050505050505050505050060500281750,000$
TEAM AVERAGE99.755349516255515654555351474706753
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Gruden70776872787570USA551250,000$


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
# 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
1Adam EdstromMilwaukee Admirals (NSH)C/RW3191423-61810514590225810.00%1764120.6943711400000181133.83%3372415000.7213110401
2William LockwoodMilwaukee Admirals (NSH)RW31121022-83010405683245314.46%1663820.591564390005260229.63%271111000.6900011032
3Trey Fix-WolanskyMilwaukee Admirals (NSH)RW31111021-2436206045103415510.68%1568822.2054914420004201036.84%1902415110.6112112032
4Amadeus LombardiMilwaukee Admirals (NSH)C319615-172220414367184513.43%956118.13123318101252153.38%399127000.5301022103
5Jaroslav ChmelarMilwaukee Admirals (NSH)LW/RW3141014-137345443635112311.43%1261019.703474431012242043.02%86510000.4600081000
6Rem PitlickMilwaukee Admirals (NSH)C/LW/RW316511-9443038367115418.45%853217.162241024000091057.50%801010000.4103123101
7Kevin KorchinskiMilwaukee Admirals (NSH)D31189-12019393621112.78%4162220.0902224400013100100.00%2312000.2900000000
8Adam WilsbyMilwaukee Admirals (NSH)D31189-517522494814152.08%5072323.34112844000231000%0414000.2500001001
9Jordan HarrisMilwaukee Admirals (NSH)D31268-15401630291366.90%3561019.69134643000032000%01126000.2600000001
10Nico MyatovicMilwaukee Admirals (NSH)LW31358-9554540316139.68%1256118.12101641011060046.43%2858000.2800001001
11Ryan UfkoMilwaukee Admirals (NSH)D31066-20155273218430%951416.580000200004000%0310000.2300010010
12Lucas CionaMilwaukee Admirals (NSH)LW31145-1318103542227224.55%552016.81000020110140036.36%2267000.1900110001
13Juuso ParssinenNashville PredatorsC/LW/RW4235-42064136615.38%29223.1411216000160045.68%8122001.0800000000
14Spencer StastneyMilwaukee Admirals (NSH)D31044-1560203913790%3860019.36011043000031000%0412000.1300000000
15Ryan McGregorMilwaukee Admirals (NSH)C/LW31303-115531372762311.11%744614.4200000000000051.77%14133000.1300001000
16Ty SmithMilwaukee Admirals (NSH)D31011-1619517257230%1846915.140000000000000%045000.0400001000
17Mason GeertsenMilwaukee Admirals (NSH)LW/D31011-39517224100%42869.250000000000000%302000.0700001000
18Tyler BensonMilwaukee Admirals (NSH)LW/RW1000000000000%099.300000000000000%00000000000000
19Luke ProkopMilwaukee Admirals (NSH)D30000155320010%1832.780000000000000%00100000010000
20Patrick HarperMilwaukee Admirals (NSH)C/LW26000000230000%0612.3600000000000042.86%70000000000000
Team Total or Average55764101165-1883301805346256972183879.18%299927516.6520284869441224172647444.48%1403131170110.3629418146713
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
1Yaroslav AskarovMilwaukee Admirals (NSH)205830.9072.4710190142452294220.80051614210
2Spencer MartinNashville Predators1321010.8584.197160150352192200.6673130100
3Ty YoungMilwaukee Admirals (NSH)31100.8663.9713600967400000216000
Team Total or Average3681940.8843.241872021018715264283130310


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 EdstromMilwaukee Admirals (NSH)C/RW252000-10-12SWENo241 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Adam WilsbyMilwaukee Admirals (NSH)D252000-08-07SWENo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Amadeus LombardiMilwaukee Admirals (NSH)C222003-06-05CANYes178 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$85,000$55,781$No850,000$--------850,000$--------No--------Link / NHL Link
Artem GuryevMilwaukee Admirals (NSH)D222003-05-17RUSYes225 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$52,500$No800,000$--------800,000$--------No--------Link / NHL Link
Callum BoothMilwaukee Admirals (NSH)G281997-05-21CANNo184 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Collin AdamsMilwaukee Admirals (NSH)C/LW271998-04-24USANo172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Daniil ChechelevMilwaukee Admirals (NSH)G242001-02-23RUSYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Hardy Haman AktellMilwaukee Admirals (NSH)D271998-07-04SWENo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$90,000$59,062$No900,000$--------900,000$--------No--------Link / NHL Link
Jack RathboneMilwaukee Admirals (NSH)D261999-05-20USANo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$52,500$No---------------------------Link / NHL Link
Jaroslav ChmelarMilwaukee Admirals (NSH)LW/RW222003-07-20CZEYes220 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm850,000$85,000$55,781$No850,000$850,000$-------850,000$850,000$-------NoNo-------Link / NHL Link
Jordan HarrisMilwaukee Admirals (NSH)D252000-07-07USANo187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$82,500$54,141$No---------------------------Link / NHL Link
Kevin KorchinskiMilwaukee Admirals (NSH)D212004-06-21CANNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$98,438$No1,500,000$--------1,500,000$--------No--------Link / NHL Link
Lucas CionaMilwaukee Admirals (NSH)LW222003-01-08CANYes210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$49,219$No750,000$--------750,000$--------No--------Link / NHL Link
Luke ProkopMilwaukee Admirals (NSH)D232002-05-06CANYes223 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm950,000$95,000$62,344$No950,000$--------950,000$--------No--------Link / NHL Link
Mason GeertsenMilwaukee Admirals (NSH)LW/D301995-04-19CANNo231 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$50,859$No---------------------------Link / NHL Link
Nico MyatovicMilwaukee Admirals (NSH)LW212004-12-01CANYes199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$65,625$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Patrick HarperMilwaukee Admirals (NSH)C/LW271998-07-29USANo150 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Rem PitlickMilwaukee Admirals (NSH)C/LW/RW281997-04-02CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$110,000$72,188$No---------------------------Link / NHL Link
Ryan McGregorMilwaukee Admirals (NSH)C/LW261999-01-29CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$50,859$No---------------------------Link / NHL Link
Ryan MerkleyMilwaukee Admirals (NSH)D252000-08-14CANNo168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Ryan UfkoMilwaukee Admirals (NSH)D222003-05-07USAYes174 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm900,000$90,000$59,062$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link / NHL Link
Spencer StastneyMilwaukee Admirals (NSH)D252000-01-04USANo184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Tanner KaspickMilwaukee Admirals (NSH)C271998-01-28CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Trey Fix-WolanskyMilwaukee Admirals (NSH)RW261999-05-26CANNo193 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$50,859$No---------------------------Link / NHL Link
Ty SmithMilwaukee Admirals (NSH)D252000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Ty YoungMilwaukee Admirals (NSH)G212004-09-11CANYes183 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm800,000$80,000$52,500$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link / NHL Link
Tyler BensonMilwaukee Admirals (NSH)LW/RW271998-03-15CANNo201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Victor RaskMilwaukee Admirals (NSH)C/LW321993-03-01SWENo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Victor SoderstromMilwaukee Admirals (NSH)D242001-02-26SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
Vitali KravtsovMilwaukee Admirals (NSH)LW/RW251999-12-23RUSNo189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$49,219$No---------------------------Link / NHL Link
William LockwoodMilwaukee Admirals (NSH)RW271998-06-20USANo172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$50,859$No---------------------------Link / NHL Link
Yaroslav AskarovMilwaukee Admirals (NSH)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$98,438$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3225.00192 Lbs6 ft11.41847,656$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jaroslav ChmelarAmadeus LombardiTrey Fix-Wolansky30122
2Nico MyatovicAdam EdstromWilliam Lockwood30122
3Rem PitlickTrey Fix-WolanskyJaroslav Chmelar25122
4Lucas CionaRyan McGregorWilliam Lockwood15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam WilsbyKevin Korchinski30122
2Spencer StastneyJordan Harris30122
3Ty SmithRyan Ufko25122
4Adam WilsbyMason Geertsen15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jaroslav ChmelarRem PitlickTrey Fix-Wolansky50122
2Nico MyatovicAdam EdstromWilliam Lockwood50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam WilsbyKevin Korchinski50122
2Spencer StastneyJordan Harris50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jaroslav ChmelarTrey Fix-Wolansky50122
2Rem PitlickWilliam Lockwood50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam WilsbyKevin Korchinski50122
2Spencer StastneyJordan Harris50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Trey Fix-Wolansky50122Adam WilsbyKevin Korchinski50122
2Jaroslav Chmelar50122Spencer StastneyJordan Harris50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jaroslav ChmelarTrey Fix-Wolansky50122
2Rem PitlickWilliam Lockwood50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam WilsbyKevin Korchinski50122
2Spencer StastneyJordan Harris50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jaroslav ChmelarAdam EdstromTrey Fix-WolanskyAdam WilsbyKevin Korchinski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jaroslav ChmelarAdam EdstromTrey Fix-WolanskyAdam WilsbyKevin Korchinski
Extra Forwards
Normal PowerPlayPenalty Kill
Jaroslav Chmelar, Rem Pitlick, Lucas CionaJaroslav Chmelar, Rem PitlickLucas Ciona
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Smith, Ryan Ufko, Adam WilsbyTy SmithRyan Ufko, Adam Wilsby
Penalty Shots
Trey Fix-Wolansky, Rem Pitlick, Lucas Ciona, William Lockwood, Jaroslav Chmelar
Goalie
#1 : Ty Young, #2 : Yaroslav Askarov


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
1Alberta Fire11000000321110000003210000000000021.000358009282632216624827220457714200.00%10100.00%021848345.13%21952541.71%18738448.70%559222582316734385
2Cape Breton Roaring Moose1010000034-1000000000001010000034-100.000369009282632216624827220241319173133.33%20100.00%021848345.13%21952541.71%18738448.70%559222582316734385
3Grand Rapids Griffins40200101714-720100100710-32010000104-420.25071118009282636616624827220974137689444.44%6266.67%121848345.13%21952541.71%18738448.70%559222582316734385
4Green Bay Lumberjacks31200000913-4211000008801010000015-420.333914230092826381166248272209831395110220.00%7357.14%021848345.13%21952541.71%18738448.70%559222582316734385
5Henderson Silver Knights1010000014-3000000000001010000014-300.000112009282631916624827220157214000%10100.00%121848345.13%21952541.71%18738448.70%559222582316734385
6Indianapolis Knights30300000413-920200000310-71010000013-200.000481200928263571662482722088203252400.00%6516.67%021848345.13%21952541.71%18738448.70%559222582316734385
7Laval Rocket1010000013-2000000000001010000013-200.0001231092826317166248272202815216000%110.00%021848345.13%21952541.71%18738448.70%559222582316734385
8Manitoba Moose20200000111-101010000007-71010000014-300.000123009282634616624827220962894384125.00%7528.57%021848345.13%21952541.71%18738448.70%559222582316734385
9Minnesota Duluth Lakers211000007701010000023-11100000054120.50071219009282636816624827220663035327228.57%5340.00%021848345.13%21952541.71%18738448.70%559222582316734385
10Mississauga Wolves11000000422000000000001100000042221.000471100928263251662482722025619222150.00%2150.00%021848345.13%21952541.71%18738448.70%559222582316734385
11Oklahoma City Barons613001101217-53110010045-130200010812-450.417121527109282631281662482722012642231058450.00%40100.00%021848345.13%21952541.71%18738448.70%559222582316734385
12Springfield Bulldogs1010000023-1000000000001010000023-100.00024600928263211662482722037174194250.00%20100.00%021848345.13%21952541.71%18738448.70%559222582316734385
13Tucson Roadrunners11000000532110000005320000000000021.000571200928263341662482722034117153133.33%10100.00%021848345.13%21952541.71%18738448.70%559222582316734385
14Utica Comets4020100169-3200010012202020000047-330.3756713009282639116624827220943110717228.57%5180.00%021848345.13%21952541.71%18738448.70%559222582316734385
Total316190121265105-401547012013450-1616212000113155-24200.323651011662092826369716624827220873299330534632031.75%502158.00%221848345.13%21952541.71%18738448.70%559222582316734385
_Since Last GM Reset316190121265105-401547012013450-1616212000113155-24200.323651011662092826369716624827220873299330534632031.75%502158.00%221848345.13%21952541.71%18738448.70%559222582316734385
_Vs Conference25316012124788-411327012012645-191219000112143-22140.28047701171092826355616624827220680230272431491530.61%411953.66%221848345.13%21952541.71%18738448.70%559222582316734385
_Vs Division7315012121523-822701201710-351800011813-5141.0001526411092826313016624827220174757712314642.86%11463.64%121848345.13%21952541.71%18738448.70%559222582316734385

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3120W16510116669787329933053420
All Games
GPWLOTWOTL SOWSOLGFGA
31619121265105
Home Games
GPWLOTWOTL SOWSOLGFGA
154712013450
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1621200113155
Last 10 Games
WLOTWOTL SOWSOL
350101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
632031.75%502158.00%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16624827220928263
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
21848345.13%21952541.71%18738448.70%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
559222582316734385


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
27Green Bay Lumberjacks2Milwaukee Admirals4WBoxScore
320Milwaukee Admirals2Utica Comets4LBoxScore
635Milwaukee Admirals3Oklahoma City Barons6LBoxScore
853Indianapolis Knights5Milwaukee Admirals2LBoxScore
1069Milwaukee Admirals2Utica Comets3LBoxScore
1283Grand Rapids Griffins7Milwaukee Admirals5LBoxScore
1395Milwaukee Admirals1Manitoba Moose4LBoxScore
16116Oklahoma City Barons1Milwaukee Admirals3WBoxScore
19138Indianapolis Knights5Milwaukee Admirals1LBoxScore
22164Milwaukee Admirals0Grand Rapids Griffins1LXXBoxScore
23171Milwaukee Admirals1Green Bay Lumberjacks5LBoxScore
26184Minnesota Duluth Lakers3Milwaukee Admirals2LBoxScore
28202Green Bay Lumberjacks6Milwaukee Admirals4LBoxScore
31225Milwaukee Admirals0Grand Rapids Griffins3LBoxScore
32235Oklahoma City Barons2Milwaukee Admirals0LBoxScore
35256Milwaukee Admirals1Indianapolis Knights3LBoxScore
37270Grand Rapids Griffins3Milwaukee Admirals2LXBoxScore
39284Milwaukee Admirals1Laval Rocket3LBoxScore
41294Milwaukee Admirals4Mississauga Wolves2WBoxScore
43310Utica Comets1Milwaukee Admirals2WXBoxScore
45322Milwaukee Admirals3Oklahoma City Barons2WXXBoxScore
47339Utica Comets1Milwaukee Admirals0LXXBoxScore
49357Milwaukee Admirals1Henderson Silver Knights4LBoxScore
51371Manitoba Moose7Milwaukee Admirals0LBoxScore
53392Milwaukee Admirals2Oklahoma City Barons4LBoxScore
54399Milwaukee Admirals5Minnesota Duluth Lakers4WBoxScore
56413Oklahoma City Barons2Milwaukee Admirals1LXBoxScore
59434Milwaukee Admirals2Springfield Bulldogs3LBoxScore
60443Alberta Fire2Milwaukee Admirals3WBoxScore
63460Milwaukee Admirals3Cape Breton Roaring Moose4LBoxScore
64473Tucson Roadrunners3Milwaukee Admirals5WBoxScore
67495Florida Everblades-Milwaukee Admirals-
69508Milwaukee Admirals-Providence Bruins-
71528Henderson Silver Knights-Milwaukee Admirals-
73542Milwaukee Admirals-Indianapolis Knights-
75558Milwaukee Admirals-Charlestown Chiefs-
77570Providence Bruins-Milwaukee Admirals-
79586Milwaukee Admirals-Utica Comets-
81601San Antonio Rampage-Milwaukee Admirals-
83621Milwaukee Admirals-Grand Rapids Griffins-
85633Phoenix Coyotes-Milwaukee Admirals-
87648Milwaukee Admirals-Florida Everblades-
88663Salt Lake City Lynx-Milwaukee Admirals-
91678Milwaukee Admirals-Portland Wild Cats-
93696Milwaukee Admirals-Hartford Wolf Pack-
94704Hershey Bears-Milwaukee Admirals-
97728Hartford Wolf Pack-Milwaukee Admirals-
100751Indianapolis Knights-Milwaukee Admirals-
103772Milwaukee Admirals-Seattle Thunderbirds-
105787Capital District Islanders-Milwaukee Admirals-
108805Milwaukee Admirals-Manitoba Moose-
110818Green Bay Lumberjacks-Milwaukee Admirals-
112840Milwaukee Admirals-Flint Admirals-
114850Springfield Bulldogs-Milwaukee Admirals-
116865Milwaukee Admirals-Capital District Islanders-
117881Laval Rocket-Milwaukee Admirals-
120902Milwaukee Admirals-Phoenix Coyotes-
122914Minnesota Duluth Lakers-Milwaukee Admirals-
126940Minnesota Duluth Lakers-Milwaukee Admirals-
128954Milwaukee Admirals-Minnesota Duluth Lakers-
130973Naples Stingrays-Milwaukee Admirals-
133991Milwaukee Admirals-Indianapolis Knights-
1351004Charlestown Chiefs-Milwaukee Admirals-
1371019Milwaukee Admirals-Alberta Fire-
1391034Utica Comets-Milwaukee Admirals-
1401042Milwaukee Admirals-Utica Comets-
1431059Milwaukee Admirals-Hershey Bears-
1441072Cape Breton Roaring Moose-Milwaukee Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
1501100Mississauga Wolves-Milwaukee Admirals-
1511111Milwaukee Admirals-Minnesota Duluth Lakers-
1531127Milwaukee Admirals-Manitoba Moose-
1551136Manitoba Moose-Milwaukee Admirals-
1591164Manitoba Moose-Milwaukee Admirals-
1611178Milwaukee Admirals-Texas Stars-
1631195Charlotte Checkers-Milwaukee Admirals-
1651213Milwaukee Admirals-Naples Stingrays-
1681227Flint Admirals-Milwaukee Admirals-
1691231Milwaukee Admirals-Charlotte Checkers-
1721257San Diego Gulls-Milwaukee Admirals-
1751272Milwaukee Admirals-Tucson Roadrunners-
1771286Milwaukee Admirals-Green Bay Lumberjacks-
1801296Grand Rapids Griffins-Milwaukee Admirals-
1871323Tofino Whalers-Milwaukee Admirals-
1911343Milwaukee Admirals-Green Bay Lumberjacks-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance29,98312,927
Attendance PCT99.94%86.18%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 2861 - 95.36% 136,067$2,041,004$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,032,819$ 2,712,500$ 2,712,500$ 250,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,712,500$ 1,032,819$ 32 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,673,807$ 126 15,430$ 1,944,180$




Milwaukee 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
1Tyler Benson29788111199-2426842246756915.47%117551518.57253964481012217839.22%30.72419
2Vitaly Kravtsov2706477141-291930837944914.25%93456216.9013344743011117330.24%10.6225
3Rasmus Kupari2455565120-5513629841744112.47%94419717.1310142432224134749.80%00.57410
4Trey Fix-Wolansky1794259101-4613530425634812.07%65327918.321819374000056239.71%20.6226
5Emil Heineman148455499-4315918024133013.64%83284019.192021414710163242.26%20.7018

Milwaukee Admirals Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Callum Booth96315140.8782.9452072825520881304560.89237
2Mads Sogaard58282360.8932.953441221691586888230.58817
3Spencer Martin70243780.8772.914021051951581950410.64734
4Yaroslav Askarov56212270.9122.413012051211378819640.71031
5Janne Juvonen55182660.8663.222997051611199729210.62516

Milwaukee 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
Regular Season
202076203606464176216-403810200411274100-2638101602352102116-147217626343914314588211446372446613511833580105218371514731.13%1564869.23%1526107448.98%537117545.70%43989649.00%134053515108261769877
202276263602435212243-3138131801312103124-2138131801123109119-10712123325444741828410148233653159745178865273717381826133.52%1566359.62%8496111644.44%507116743.44%40894743.08%136455914858081759880
202376204402262154225-713814200112087104-17386240114267121-54601542413952727586110127930649347633195665386513151525032.89%1617155.90%246198646.75%543127542.59%34681942.25%127046715258201808918
202478183708384182242-6039111707121108122-14397200126374120-467518227846064415966211636372643582782214678132111931565736.54%1947660.82%1544116046.90%648144644.81%46094148.88%134952915638441843926
2025316190121265105-401547012013450-1616212000113155-2420651011662092826369716624827220873299330534632031.75%502158.00%221848345.13%21952541.71%18738448.70%559222582316734385
Total Regular Season337901720191524177891031-2421685282014866406500-9416938900571811383531-148298789121520041522149272325656540155223612540227866428624305661770423533.38%71727961.09%142245481946.59%2454558843.92%1840398746.15%588423136666361679153987
Playoff
Total Playoff00000000000000%0%0%0%0%000000

Milwaukee 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

Milwaukee Admirals Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA