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Milwaukee Admirals
GP: 73 | W: 33 | L: 29 | OTL: 11 | P: 77
GF: 210 | GA: 222 | PP%: 19.05% | PK%: 82.58%
GM : Vojtech Vanicek | Morale : 50 | Team Overall : 54
Next Games #1180 vs Toronto Marlies
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Game Center
Milwaukee Admirals
33-29-11, 77pts
6
FINAL
4 Rochester Americans
46-22-5, 97pts
Team Stats
L1StreakW2
20-12-4Home Record25-10-3
13-17-7Away Record21-12-2
4-3-3Last 10 Games5-5-0
2.88Goals Per Game4.00
3.04Goals Against Per Game3.29
19.05%Power Play Percentage19.70%
82.58%Penalty Kill Percentage78.14%
Coachella Valley Firebirds
24-42-7, 55pts
6
FINAL
2 Milwaukee Admirals
33-29-11, 77pts
Team Stats
W1StreakL1
15-18-3Home Record20-12-4
9-24-4Away Record13-17-7
3-4-3Last 10 Games4-3-3
2.44Goals Per Game2.88
3.77Goals Against Per Game3.04
19.02%Power Play Percentage19.05%
76.47%Penalty Kill Percentage82.58%
Toronto Marlies
34-33-6, 74pts
2022-04-06
Milwaukee Admirals
33-29-11, 77pts
Team Stats
W1StreakL1
20-14-3Home Record20-12-4
14-19-3Away Record13-17-7
2-7-1Last 10 Games4-3-3
2.97Goals Per Game2.88
2.93Goals Against Per Game2.88
17.93%Power Play Percentage19.05%
83.82%Penalty Kill Percentage82.58%
Milwaukee Admirals
33-29-11, 77pts
2022-04-07
Providence Bruins
42-26-5, 89pts
Team Stats
L1StreakSOW1
20-12-4Home Record21-12-3
13-17-7Away Record21-14-2
4-3-3Last 10 Games6-1-3
2.88Goals Per Game3.42
3.04Goals Against Per Game3.42
19.05%Power Play Percentage18.78%
82.58%Penalty Kill Percentage80.51%
Milwaukee Admirals
33-29-11, 77pts
2022-04-09
W-B/Scranton Penguins
31-30-12, 74pts
Team Stats
L1StreakSOL1
20-12-4Home Record18-11-7
13-17-7Away Record13-19-5
4-3-3Last 10 Games3-5-2
2.88Goals Per Game2.97
3.04Goals Against Per Game2.97
19.05%Power Play Percentage10.44%
82.58%Penalty Kill Percentage78.83%
Team Leaders
Matthew PecaGoals
Matthew Peca
26
Matthew PecaAssists
Matthew Peca
49
Matthew PecaPoints
Matthew Peca
75
Matthew PecaPlus/Minus
Matthew Peca
13
Collin DeliaWins
Collin Delia
20
Adam HuskaSave Percentage
Adam Huska
0.926

Team Stats
Goals For
210
2.88 GFG
Shots For
1834
25.12 Avg
Power Play Percentage
19.0%
36 GF
Offensive Zone Start
36.2%
Goals Against
222
3.04 GAA
Shots Against
2095
28.70 Avg
Penalty Kill Percentage
82.6%%
27 GA
Defensive Zone Start
42.5%
Team Info

General ManagerVojtech Vanicek
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team28
Farm Team18
Contract Limit46 / 80
Prospects35


Filter Tips
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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
1Yegor Chinakhov (R)X100.006939827275748458355961628154460506102131,000,000$
2Axel Jonsson-Fjallby (R)X98.00663684777571656235575766656050050600241800,000$
3Matthew PecaX100.00604179736769606552565261657062050590291700,000$
4Mathieu OlivierXX100.00746957707969625941565264586253050590251700,000$
5Cole Smith (R)X100.007640777281676159375452625866580505902611,000,000$
6Max JonesXX100.00624866688269606536545262586050050580241600,000$
7Connor BunnamanXX100.00703682697669635869545261606050050580241600,000$
8Jakob PelletierXX100.00553584656744585935596056645446050560219100,000$
9Gage GoncalvesX100.00563580637441595744555855605446050550219100,000$
10Brandon PirriXX100.005135835872484655354850575274660505303111,200,000$
11Jack Rathbone (R)X100.00613684716774616130545564565849050600231900,000$
12Linus Hogberg (R)X100.00553584687480604730605568516051050600241800,000$
13Johnathan Kovacevic (R)X100.00553677658468605530545565556252050590258100,000$
14Joseph CecconiX100.00573578538250584930474962486252050550257100,000$
15Cole HultsX100.00563679587350565230485161516050050550249100,000$
16Michael VukojevicX100.00603676557450575130515162525444050550219100,000$
17Michael BrodzinskiX100.005235795270505951304545575166560505302710100,000$
18James MelindyX100.00523584508151554730404257456858050530282100,000$
Scratches
1Jack BadiniXX100.00543682567344544938484756496050050520249100,000$
2Ryan KuffnerX100.00533781537543544935464656516454050510262500,000$
3Lukas SvejkovskyXX100.004444444444444444444444445050500504502010100,000$
4Matt SchmalzXX100.00333333333333333333333333335050050370261200,000$
5Michael PrapavessisX100.00503785547750534830414356466454050530267100,000$
6Ryan ZuhlsdorfX100.00503584507051554730424255456252050520251100,000$
7Ben FinkelsteinX100.00503584506551524730424255456050050510249100,000$
TEAM AVERAGE99.9257387660725657533650505854615205055
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)
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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.
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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
1Collin Delia98.0064636074656163666660626860050590282800,000$
2Adam Huska (R)100.00585552836256586261565862530505602511,000,000$
Scratches
1Jesper Vikman (R)100.0033333333333333333333335050050390209100,000$
TEAM AVERAGE99.335250486353505154535051605405051
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Matthew PecaMilwaukee Admirals (NSH)C7026497513200481872025514912.87%16143520.5031215301490003871252.68%160600001.0503000563
2Axel Jonsson-FjallbyMilwaukee Admirals (NSH)LW73192948-25140100126233681638.15%16163422.3974113415900021141440.83%48000000.59212000433
3Yegor ChinakhovMilwaukee Admirals (NSH)RW471929488954973122479515.57%998420.95391214890003325443.61%13300000.9725001353
4Juraj SlafkovskyPredatorsLW451623391806273170481339.41%1098821.9715616880002731048.11%21200110.7938000244
5Johnathan KovacevicMilwaukee Admirals (NSH)D7382836-5420896277295110.39%74153521.04437311460002110100.00%000000.4711000201
6Jack RathboneMilwaukee Admirals (NSH)D5582533014062638118499.88%59124622.6636928105000070000.00%000100.5311000031
7Linus HogbergMilwaukee Admirals (NSH)D5772330-4100394358183412.07%56104618.363582893000164010.00%000000.5700000502
8Cole SmithMilwaukee Admirals (NSH)LW69151429-1260119891345111211.19%12104415.141126480000473250.30%16500000.5618000322
9Jakob PelletierMilwaukee Admirals (NSH)C/LW73121527-16602710013728838.76%10114615.710004560000191042.61%100200000.4723000032
10Brandon PirriMilwaukee Admirals (NSH)C/LW68161026560195370175322.86%289913.220223250000362046.39%16600000.5800000130
11Max JonesMilwaukee Admirals (NSH)LW/RW44111324-10120587280236413.75%487619.93325131040001341433.33%6300000.5501000033
12Gage GoncalvesMilwaukee Admirals (NSH)C73813211060205977385810.39%779810.940112190001263045.09%64100000.5312000010
13Connor BunnamanMilwaukee Admirals (NSH)C/LW4051520-1427533738129626.17%469617.4221312780001242061.17%66700000.5701000102
14Joseph CecconiMilwaukee Admirals (NSH)D68101020-8160553044161022.73%42103515.223251081000179100.00%000000.3900000011
15Michael VukojevicMilwaukee Admirals (NSH)D6551520-15280774140142312.50%56105416.23101167800016310100.00%100000.3800000002
16Cole HultsMilwaukee Admirals (NSH)D7321618-814050434514314.44%65124117.011231462000072010.00%000000.2900000010
17Jack BadiniMilwaukee Admirals (NSH)C/LW55381102021273314259.09%561811.2500003000001038.71%12400000.3600000110
18Wyatt JohnstonPredatorsC10461016013183572611.43%120720.780225220000162157.07%19800000.9600000100
19Mathieu OlivierMilwaukee Admirals (NSH)LW/RW26549-12280593650174710.00%443316.681348550001300050.00%3200000.4122000010
20Michael PrapavessisMilwaukee Admirals (NSH)D57099-180251218790.00%2967811.90000027000030000.00%000000.2700000000
21Michael BrodzinskiMilwaukee Admirals (NSH)D393588402871151227.27%2144811.510221400000361066.67%300000.3600000100
22Conor TimminsPredatorsD23167-1010034382110104.76%3151322.31000522000024010.00%000000.2700000000
23James MelindyMilwaukee Admirals (NSH)D250332601101060.00%91957.8200014000011000.00%200000.3100000000
24Lukas SvejkovskyMilwaukee Admirals (NSH)C/RW52101-1414038811379.09%180515.500000780000170047.52%10100000.0200000000
25Matt SchmalzMilwaukee Admirals (NSH)C/RW24000-460940000.00%028812.0100008000010020.00%2000000.00%00000000
26Ben FinkelsteinMilwaukee Admirals (NSH)D2000000000000.00%031.500000000000000.00%000000.00%00000000
27Ryan KuffnerMilwaukee Admirals (NSH)LW5000000413130.00%0489.7100000000000025.00%400000.00%00000000
28Ryan ZuhlsdorfMilwaukee Admirals (NSH)D3000000000000.00%072.430000000000000.00%000000.00%00000000
Team Total or Average1314204368572-9934210114913381834577131511.12%5432191516.683662982811650000191126272048.75%562000210.521547001293729
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 Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Collin DeliaMilwaukee Admirals (NSH)45201660.8843.3226064114412390400.609234320002
2Adam HuskaMilwaukee Admirals (NSH)82200.9262.2434800131760000.54511368000
3Jesper VikmanMilwaukee Admirals (NSH)10000.8006.0020002100000.00%005000
Team Total or Average54221860.8883.212976411591425040344693002


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract 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 10Link
Adam HuskaMilwaukee Admirals (NSH)G2507.07.1997Yes214 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$106,250$0$0$NoNHL Link
Axel Jonsson-FjallbyMilwaukee Admirals (NSH)LW2407.07.1998Yes189 Lbs6 ft1NoNoNo1Pro & Farm800,000$85,000$0$0$NoNHL Link
Ben FinkelsteinMilwaukee Admirals (NSH)D2407.07.1998No181 Lbs5 ft9NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Brandon PirriMilwaukee Admirals (NSH)C/LW3107.07.1991No186 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$127,500$0$0$No
Cole HultsMilwaukee Admirals (NSH)D2407.07.1998No190 Lbs6 ft0NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
Cole SmithMilwaukee Admirals (NSH)LW2607.07.1996Yes195 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$106,250$0$0$NoNHL Link
Collin DeliaMilwaukee Admirals (NSH)G2807.07.1994No208 Lbs6 ft2NoNoNo2Pro & Farm800,000$85,000$0$0$No800,000$NHL Link
Connor BunnamanMilwaukee Admirals (NSH)C/LW2407.07.1998No207 Lbs6 ft1NoNoNo1Pro & Farm600,000$63,750$0$0$NoNHL Link
Gage GoncalvesMilwaukee Admirals (NSH)C2107.07.2001No171 Lbs6 ft1NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
Jack BadiniMilwaukee Admirals (NSH)C/LW2407.07.1998No202 Lbs6 ft0NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
Jack RathboneMilwaukee Admirals (NSH)D2307.07.1999Yes177 Lbs5 ft10NoNoNo1Pro & Farm900,000$95,625$0$0$NoNHL Link
Jakob PelletierMilwaukee Admirals (NSH)C/LW2107.07.2001No180 Lbs5 ft10NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
James MelindyMilwaukee Admirals (NSH)D2807.07.1994No203 Lbs6 ft3NoNoNo2Farm Only100,000$10,625$0$0$No100,000$
Jesper VikmanMilwaukee Admirals (NSH)G2007.07.2002 15:34:20Yes176 Lbs6 ft3NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Johnathan KovacevicMilwaukee Admirals (NSH)D2507.07.1997Yes208 Lbs6 ft4NoNoNo8Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
Joseph CecconiMilwaukee Admirals (NSH)D2507.07.1997No210 Lbs6 ft3NoNoNo7Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
Linus HogbergMilwaukee Admirals (NSH)D2407.07.1998Yes176 Lbs6 ft1NoNoNo1Pro & Farm800,000$85,000$0$0$NoNHL Link
Lukas SvejkovskyMilwaukee Admirals (NSH)C/RW2007.07.2002 17:01:35No170 Lbs5 ft9NoNoNo10Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Mathieu OlivierMilwaukee Admirals (NSH)LW/RW2507.07.1997No210 Lbs6 ft2NoNoNo1Pro & Farm700,000$74,375$0$0$NoNHL Link
Matt SchmalzMilwaukee Admirals (NSH)C/RW2607.07.1996 13:30:34No225 Lbs6 ft6NoNoNo1Farm Only200,000$21,250$0$0$No
Matthew PecaMilwaukee Admirals (NSH)C2907.07.1993No181 Lbs5 ft10NoNoNo1Pro & Farm700,000$74,375$0$0$NoNHL Link
Max JonesMilwaukee Admirals (NSH)LW/RW2407.07.1998No216 Lbs6 ft3NoNoNo1Pro & Farm600,000$63,750$0$0$No
Michael BrodzinskiMilwaukee Admirals (NSH)D2707.07.1995No191 Lbs5 ft11NoNoNo10Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Michael PrapavessisMilwaukee Admirals (NSH)D2607.07.1996No181 Lbs6 ft2NoNoNo7Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$
Michael VukojevicMilwaukee Admirals (NSH)D2107.07.2001No212 Lbs6 ft0NoNoNo9Farm Only100,000$10,625$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NHL Link
Ryan KuffnerMilwaukee Admirals (NSH)LW2607.07.1996No194 Lbs6 ft1NoNoNo2Pro & Farm500,000$53,125$0$0$No500,000$
Ryan ZuhlsdorfMilwaukee Admirals (NSH)D2507.07.1997No187 Lbs5 ft11NoNoNo1Farm Only100,000$10,625$0$0$No
Yegor ChinakhovMilwaukee Admirals (NSH)RW2107.07.2001Yes189 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$106,250$0$0$No1,000,000$1,000,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.54194 Lbs6 ft14.50435,714$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Axel Jonsson-FjallbyMatthew PecaMax Jones40122
2Cole SmithConnor BunnamanAxel Jonsson-Fjallby30122
3Brandon PirriJakob PelletierAxel Jonsson-Fjallby20122
4Yegor ChinakhovGage GoncalvesMatthew Peca10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Johnathan KovacevicCole Hults40122
2Michael VukojevicJack Rathbone30122
3Jack RathboneLinus Hogberg20122
4Johnathan KovacevicCole Hults10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Axel Jonsson-FjallbyMatthew PecaMax Jones60122
2Cole SmithConnor BunnamanAxel Jonsson-Fjallby40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack RathboneCole Hults60122
2Michael VukojevicJohnathan Kovacevic40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Axel Jonsson-FjallbyCole Smith60122
2Matthew PecaConnor Bunnaman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Johnathan KovacevicCole Hults60122
2Michael VukojevicCole Hults40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Axel Jonsson-Fjallby60122Johnathan KovacevicCole Hults60122
2Cole Smith40122Michael VukojevicCole Hults40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Axel Jonsson-FjallbyCole Smith60122
2Matthew PecaConnor Bunnaman40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Johnathan KovacevicCole Hults60122
2Michael VukojevicJohnathan Kovacevic40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Axel Jonsson-FjallbyMatthew PecaMax JonesJohnathan KovacevicCole Hults
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Axel Jonsson-FjallbyMatthew PecaMax JonesJohnathan KovacevicCole Hults
Extra Forwards
Normal PowerPlayPenalty Kill
Axel Jonsson-Fjallby, Jakob Pelletier, Gage GoncalvesMatthew Peca, Jakob PelletierGage Goncalves
Extra Defensemen
Normal PowerPlayPenalty Kill
Cole Hults, Johnathan Kovacevic, Michael VukojevicJohnathan KovacevicCole Hults, Michael Vukojevic
Penalty Shots
Axel Jonsson-Fjallby, Cole Smith, Matthew Peca, Connor Bunnaman, Max Jones
Goalie
#1 : Collin Delia, #2 : Adam Huska


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford Canucks3020010027-51010000003-32010010024-210.167246006370691763606557639797919125214214.29%60100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
2Bakersfield Condors31101000871210010006421010000023-140.66781422006370691767606557639796014642500.00%30100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
3Belleville Senators21000010853110000005321000001032141.0008122000637069174860655763979682110463266.67%5180.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
4Bridgeport Islanders21000100972110000006331000010034-130.750917260063706917566065576397963258328337.50%30100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
5Calgary Wranglers2010001034-11010000002-21000001032120.5003471063706917496065576397936108335120.00%40100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
6Charlotte Checkers2020000049-51010000023-11010000026-400.0004590063706917476065576397947151035800.00%50100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
7Chicago Wolves11000000532000000000001100000053221.0005813006370691721606557639792958235120.00%40100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
8Cleveland Monsters2010000179-21000000156-11010000023-110.250713200063706917506065576397962174276350.00%10100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
9Coachella Valley Firebirds31200000710-32110000068-21010000012-120.333713200063706917656065576397987191041300.00%5260.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
10Colorado Eagles411000021013-32110000067-12000000246-240.5001016261063706917114606557639791112620649222.22%9277.78%01005203649.36%1135238847.53%600119650.17%167211411813561975478
11Grand Rapids Griffins21100000954110000006061010000035-220.500917260163706917406065576397958166445120.00%3233.33%01005203649.36%1135238847.53%600119650.17%167211411813561975478
12Hartford Wolf Pack2010000157-21010000023-11000000134-110.250591400637069176460655763979509621400.00%30100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
13Henderson Silver Knights22000000853110000006421100000021141.0008162400637069175860655763979631110323133.33%50100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
14Hershey Bears20100010711-41010000038-51000001043120.500712190063706917546065576397979181625400.00%6266.67%01005203649.36%1135238847.53%600119650.17%167211411813561975478
15Iowa Wild21100000541110000004131010000013-220.5005914006370691741606557639796319103822100.00%5180.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
16Laval Rocket21000010422110000002111000001021141.000459006370691765606557639793810636600.00%30100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
17Lehigh Valley Phantoms210000018801000000134-11100000054130.750814220063706917486065576397949112304250.00%10100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
18Manitoba Moose4310000013103220000009542110000045-160.7501324371063706917996065576397912537365210220.00%18477.78%01005203649.36%1135238847.53%600119650.17%167211411813561975478
19Ontario Reign31200000810-2211000007701010000013-220.333814220063706917716065576397910027354111327.27%11463.64%01005203649.36%1135238847.53%600119650.17%167211411813561975478
20Providence Bruins1010000024-21010000024-20000000000000.000246006370691732606557639792992173133.33%10100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
21Rochester Americans220000001165110000005231100000064241.00011203100637069174760655763979521214354125.00%60100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
22Rockford IceHogs31100001811-31000000134-12110000057-230.50081523006370691791606557639799117125410330.00%6266.67%01005203649.36%1135238847.53%600119650.17%167211411813561975478
23San Diego Gulls30200100612-61010000024-22010010048-410.167612180063706917726065576397983198465120.00%40100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
24San Jose Barracuda32100000972110000005232110000045-140.667915240063706917706065576397911220174510220.00%40100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
25Springfield Thunderbirds31200000871110000004132020000046-220.3338142200637069176460655763979762516488225.00%7185.71%01005203649.36%1135238847.53%600119650.17%167211411813561975478
26Syracuse Crunch21100000330110000003211010000001-120.50036900637069173960655763979571612375120.00%5180.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
27Texas Stars31000101880210000016511000010023-140.66781422006370691776606557639799015236800.00%10100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
28Toronto Marlies1010000023-1000000000001010000023-100.000246006370691724606557639792712626300.00%30100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
29Tucson Roadrunners412000101314-12110000056-12010001088040.500132235006370691711860655763979123422045900.00%10460.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
30Utica Comets2010100046-21010000014-31000100032120.5004711006370691753606557639795319826800.00%4175.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
31W-B/Scranton Penguins10000010651100000106510000000000021.000691500637069172860655763979358820100.00%40100.00%01005203649.36%1135238847.53%600119650.17%167211411813561975478
Total73252902467210222-12361812010141201119377170145390111-21770.5272103685783163706917183460655763979209554334811491893619.05%1552782.58%01005203649.36%1135238847.53%600119650.17%167211411813561975478
_Since Last GM Reset73252902467210222-12361812010141201119377170145390111-21770.5272103685783163706917183460655763979209554334811491893619.05%1552782.58%01005203649.36%1135238847.53%600119650.17%167211411813561975478
_Vs Conference45161901324116129-1322127010026963623412003224766-19450.500116206322306370691711186065576397912993202226691122118.75%982079.59%01005203649.36%1135238847.53%600119650.17%167211411813561975478
_Vs Division2298001045162-111172000023234-21126001021928-9230.5235192143106370691751560655763979620139106332561017.86%42685.71%01005203649.36%1135238847.53%600119650.17%167211411813561975478

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7377L121036857818342095543348114931
All Games
GPWLOTWOTL SOWSOLGFGA
7325292467210222
Home Games
GPWLOTWOTL SOWSOLGFGA
3618121014120111
Visitor Games
GPWLOTWOTL SOWSOLGFGA
37717145390111
Last 10 Games
WLOTWOTL SOWSOL
330112
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1893619.05%1552782.58%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6065576397963706917
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1005203649.36%1135238847.53%600119650.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167211411813561975478


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
1 - 2021-11-137San Jose Barracuda2Milwaukee Admirals5BWBoxScore
2 - 2021-11-1424Milwaukee Admirals3San Jose Barracuda2AWBoxScore
4 - 2021-11-1637Milwaukee Admirals2Texas Stars3ALXBoxScore
6 - 2021-11-1848Ontario Reign5Milwaukee Admirals3BLBoxScore
7 - 2021-11-1961Milwaukee Admirals2Cleveland Monsters3ALBoxScore
9 - 2021-11-2176Lehigh Valley Phantoms4Milwaukee Admirals3BLXXBoxScore
12 - 2021-11-2498Colorado Eagles4Milwaukee Admirals2BLBoxScore
13 - 2021-11-25108Springfield Thunderbirds1Milwaukee Admirals4BWBoxScore
15 - 2021-11-27122Hershey Bears8Milwaukee Admirals3BLBoxScore
17 - 2021-11-29141Milwaukee Admirals2Bakersfield Condors3ALBoxScore
18 - 2021-11-30152Milwaukee Admirals3Calgary Wranglers2AWXXBoxScore
20 - 2021-12-02165Milwaukee Admirals1Abbotsford Canucks2ALXBoxScore
22 - 2021-12-04183Milwaukee Admirals1Coachella Valley Firebirds2ALBoxScore
24 - 2021-12-06199Milwaukee Admirals3Colorado Eagles4ALXXBoxScore
26 - 2021-12-08212Hartford Wolf Pack3Milwaukee Admirals2BLBoxScore
27 - 2021-12-09226Milwaukee Admirals2Henderson Silver Knights1AWBoxScore
29 - 2021-12-11238Iowa Wild1Milwaukee Admirals4BWBoxScore
31 - 2021-12-13252Bridgeport Islanders3Milwaukee Admirals6BWBoxScore
33 - 2021-12-15271Tucson Roadrunners1Milwaukee Admirals3BWBoxScore
35 - 2021-12-17286Milwaukee Admirals3Grand Rapids Griffins5ALBoxScore
38 - 2021-12-20306Cleveland Monsters6Milwaukee Admirals5BLXXBoxScore
40 - 2021-12-22325San Diego Gulls4Milwaukee Admirals2BLBoxScore
42 - 2021-12-24337Milwaukee Admirals3Utica Comets2AWXBoxScore
43 - 2021-12-25348Milwaukee Admirals3Bridgeport Islanders4ALXBoxScore
46 - 2021-12-28374Syracuse Crunch2Milwaukee Admirals3BWBoxScore
49 - 2021-12-31396Milwaukee Admirals0Syracuse Crunch1ALBoxScore
51 - 2022-01-02416Belleville Senators3Milwaukee Admirals5BWBoxScore
53 - 2022-01-04431Milwaukee Admirals3Springfield Thunderbirds4ALBoxScore
54 - 2022-01-05440Bakersfield Condors2Milwaukee Admirals3BWXBoxScore
56 - 2022-01-07458Milwaukee Admirals2Manitoba Moose4ALBoxScore
58 - 2022-01-09472Milwaukee Admirals1Colorado Eagles2ALXXBoxScore
60 - 2022-01-11487Bakersfield Condors2Milwaukee Admirals3BWBoxScore
62 - 2022-01-13504Milwaukee Admirals1Rockford IceHogs4ALBoxScore
64 - 2022-01-15519Colorado Eagles3Milwaukee Admirals4BWBoxScore
65 - 2022-01-16528Texas Stars3Milwaukee Admirals2BLXXBoxScore
68 - 2022-01-19551Milwaukee Admirals1San Diego Gulls4ALBoxScore
70 - 2022-01-21568Texas Stars2Milwaukee Admirals4BWBoxScore
72 - 2022-01-23582Laval Rocket1Milwaukee Admirals2BWBoxScore
75 - 2022-01-26603Milwaukee Admirals4Hershey Bears3AWXXBoxScore
78 - 2022-01-29629Milwaukee Admirals3Belleville Senators2AWXXBoxScore
80 - 2022-01-31646Milwaukee Admirals2Toronto Marlies3ALBoxScore
81 - 2022-02-01653Milwaukee Admirals2Laval Rocket1AWXXBoxScore
83 - 2022-02-03671Rochester Americans2Milwaukee Admirals5BWBoxScore
85 - 2022-02-05689Calgary Wranglers2Milwaukee Admirals0BLBoxScore
86 - 2022-02-06696Milwaukee Admirals5Chicago Wolves3AWBoxScore
88 - 2022-02-08715Milwaukee Admirals1Springfield Thunderbirds2ALBoxScore
91 - 2022-02-11737Ontario Reign2Milwaukee Admirals4BWBoxScore
93 - 2022-02-13753Manitoba Moose4Milwaukee Admirals5BWBoxScore
94 - 2022-02-14762Utica Comets4Milwaukee Admirals1BLBoxScore
98 - 2022-02-18800Milwaukee Admirals1San Jose Barracuda3ALBoxScore
100 - 2022-02-20813Henderson Silver Knights4Milwaukee Admirals6BWBoxScore
101 - 2022-02-21823Milwaukee Admirals2Manitoba Moose1AWBoxScore
103 - 2022-02-23832Milwaukee Admirals5Lehigh Valley Phantoms4AWBoxScore
105 - 2022-02-25852Tucson Roadrunners5Milwaukee Admirals2BLBoxScore
108 - 2022-02-28876Providence Bruins4Milwaukee Admirals2BLBoxScore
110 - 2022-03-02891Charlotte Checkers3Milwaukee Admirals2BLBoxScore
111 - 2022-03-03904Milwaukee Admirals1Iowa Wild3ALBoxScore
113 - 2022-03-05919Abbotsford Canucks3Milwaukee Admirals0BLBoxScore
117 - 2022-03-09949Coachella Valley Firebirds2Milwaukee Admirals4BWBoxScore
118 - 2022-03-10959Milwaukee Admirals5Tucson Roadrunners6ALBoxScore
120 - 2022-03-12971W-B/Scranton Penguins5Milwaukee Admirals6BWXXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
122 - 2022-03-14988Milwaukee Admirals2Charlotte Checkers6ALBoxScore
124 - 2022-03-161005Milwaukee Admirals4Rockford IceHogs3AWBoxScore
126 - 2022-03-181025Milwaukee Admirals1Abbotsford Canucks2ALBoxScore
128 - 2022-03-201041Milwaukee Admirals3Tucson Roadrunners2AWXXBoxScore
130 - 2022-03-221059Milwaukee Admirals1Ontario Reign3ALBoxScore
131 - 2022-03-231067Milwaukee Admirals3San Diego Gulls4ALXBoxScore
133 - 2022-03-251079Grand Rapids Griffins0Milwaukee Admirals6BWBoxScore
135 - 2022-03-271096Rockford IceHogs4Milwaukee Admirals3BLXXBoxScore
137 - 2022-03-291113Manitoba Moose1Milwaukee Admirals4BWBoxScore
139 - 2022-03-311128Milwaukee Admirals3Hartford Wolf Pack4ALXXBoxScore
140 - 2022-04-011138Milwaukee Admirals6Rochester Americans4AWBoxScore
143 - 2022-04-041165Coachella Valley Firebirds6Milwaukee Admirals2BLBoxScore
145 - 2022-04-061180Toronto Marlies-Milwaukee Admirals-
146 - 2022-04-071184Milwaukee Admirals-Providence Bruins-
148 - 2022-04-091202Milwaukee Admirals-W-B/Scranton Penguins-
150 - 2022-04-111222Springfield Thunderbirds-Milwaukee Admirals-
152 - 2022-04-131240Milwaukee Admirals-Texas Stars-
153 - 2022-04-141248Henderson Silver Knights-Milwaukee Admirals-
155 - 2022-04-161263Chicago Wolves-Milwaukee Admirals-
157 - 2022-04-181280Milwaukee Admirals-Calgary Wranglers-
160 - 2022-04-211305Iowa Wild-Milwaukee Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
997,729$ 1,220,000$ 1,220,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
7,625$ 997,729$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 17 7,625$ 129,625$




Milwaukee Admirals 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

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

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

Milwaukee Admirals 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