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Milwaukee Admirals
GP: 67 | W: 41 | L: 23 | OTL: 3 | P: 85
GF: 234 | GA: 190 | PP%: 20.12% | PK%: 80.11%
GM : Stanislav Lesko | Morale : 50 | Team Overall : 53
Next Games #1066 vs Coachella Valley Firebirds
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Game Center
Milwaukee Admirals
41-23-3, 85pts
1
FINAL
2 Iowa Wild
18-45-3, 39pts
Team Stats
W1StreakL1
21-13-0Home Record12-19-2
20-10-3Home Record6-26-1
9-0-1Last 10 Games1-8-1
3.49Goals Per Game2.38
2.84Goals Against Per Game3.61
20.12%Power Play Percentage16.46%
80.11%Penalty Kill Percentage76.34%
Milwaukee Admirals
41-23-3, 85pts
6
FINAL
1 Manitoba Moose
29-31-5, 63pts
Team Stats
W1StreakL3
21-13-0Home Record15-16-2
20-10-3Home Record14-15-3
9-0-1Last 10 Games5-4-1
3.49Goals Per Game2.94
2.84Goals Against Per Game3.00
20.12%Power Play Percentage17.09%
80.11%Penalty Kill Percentage76.88%
Milwaukee Admirals
41-23-3, 85pts
Day 130
Coachella Valley Firebirds
12-47-6, 30pts
Team Stats
W1StreakL1
21-13-0Home Record8-23-2
20-10-3Away Record4-24-4
9-0-1Last 10 Games4-6-0
3.49Goals Per Game2.80
2.84Goals Against Per Game2.80
20.12%Power Play Percentage23.88%
80.11%Penalty Kill Percentage76.82%
San Jose Barracuda
31-25-9, 71pts
Day 132
Milwaukee Admirals
41-23-3, 85pts
Team Stats
L1StreakW1
16-9-6Home Record21-13-0
15-16-3Away Record20-10-3
5-2-3Last 10 Games9-0-1
3.26Goals Per Game3.49
3.35Goals Against Per Game3.49
19.53%Power Play Percentage20.12%
78.23%Penalty Kill Percentage80.11%
Milwaukee Admirals
41-23-3, 85pts
Day 134
Charlotte Checkers
39-19-9, 87pts
Team Stats
W1StreakW1
21-13-0Home Record24-6-2
20-10-3Away Record15-13-7
9-0-1Last 10 Games6-4-0
3.49Goals Per Game3.19
2.84Goals Against Per Game3.19
20.12%Power Play Percentage19.25%
80.11%Penalty Kill Percentage83.50%
Team Leaders
Goals
Max Jones
30
Axel Jonsson-FjallbyAssists
Axel Jonsson-Fjallby
45
Axel Jonsson-FjallbyPoints
Axel Jonsson-Fjallby
69
Axel Jonsson-FjallbyPlus/Minus
Axel Jonsson-Fjallby
28
Collin DeliaWins
Collin Delia
41
Save Percentage
Jesper Vikman
0.921

Team Stats
Goals For
234
3.49 GFG
Shots For
1892
28.24 Avg
Power Play Percentage
20.1%
33 GF
Offensive Zone Start
39.1%
Goals Against
190
2.84 GAA
Shots Against
1832
27.34 Avg
Penalty Kill Percentage
80.1%%
35 GA
Defensive Zone Start
39.4%
Team Info

General ManagerStanislav Lesko
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 80
Prospects38


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.
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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
1Max JonesXX100.00775858698274886456606163626253050620251900,000$
2Axel Jonsson-Fjallby (R)X100.00693880747370786551616070656253050620251900,000$
3Juraj Slafkovsky (R)X100.007550656586737362556158685650410506101931,000,000$
4Jakob Pelletier (R)XX100.00653782736477656452595866655647050600222800,000$
5Matt Coronato (R)XX100.00663583676878696150626062505445050590201400,000$
6Connor BunnamanXX100.00593578557749584830445359606252050530251600,000$
7Lukas SvejkovskyXX100.00543586627040574539464355555647050510219100,000$
8Patrick Harper (R)XX100.00533586586144475036474656496050050510251100,000$
9C.J. SmithX100.00553779596945454230414456607061050500282500,000$
10Jack BadiniXX100.00533584527546544330424456476252050500258100,000$
11Ethan Keppen (R)X100.00573679557944474230414456495645050490221100,000$
12Nathan GaucherX100.004544444444444444444444454450500504501910100,000$
13Jake Livingstone (R)X100.00673683628077605030545566496052050600241700,000$
14Jack RathboneX100.00643681706674625730535663556051050590241900,000$
15Michael BrodzinskiX100.00563575587153584930504557486859050550289100,000$
16Joseph CecconiX100.00573577538254554430444362496454050550266100,000$
17Ryan JonesX100.005936765380565744304543615066570505502710100,000$
18Michael VukojevicX100.00603576528254584130414261505645050540228100,000$
Scratches
1Gage GoncalvesX71.81573978647046605748605256615647050550228100,000$
2Judd Caulfield (R)X100.00523583528040454035404055485647050480221100,000$
3Jakub DemekX100.004444444444444445444544444450500504502010100,000$
4Henrik Rybinski (R)XXX100.00454545454545454545454545454545050450221100,000$
5Linus HogbergX100.00573581577156514230424163496252050540251800,000$
6James MelindyX100.00553576527954594230434156477061050540291100,000$
7Ryan ZuhlsdorfX100.00553575557053474530474157486455050530269100,000$
TEAM AVERAGE98.8458387458715657493849485852595105054
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
1Collin Delia98.0067646174676764656660597062050600291800,000$
2Jesper Vikman100.0049404076545150515252555445050510218100,000$
Scratches
1Mason Beaupit100.00303030303030303030303050500503702010100,000$
TEAM AVERAGE99.334945446050494849494748585205049
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
1Axel Jonsson-FjallbyMilwaukee Admirals (NSH)LW652445692820072922075815211.59%23118218.20279301260001358146.81%9400001.17311000256
2Max JonesMilwaukee Admirals (NSH)LW/RW6730366621440158742196716513.70%16132219.744592313100051046256.29%16700001.00410000743
3Juraj SlafkovskyMilwaukee Admirals (NSH)LW6725356016280111762185314711.47%17115517.24369251060001483244.44%7200001.0402000576
4Jakob PelletierMilwaukee Admirals (NSH)C/LW66223456780451872126216910.38%15143621.7737102313500041331246.78%184500000.7802000353
5Yegor ChinakhovPredatorsLW/RW4814365018605710215036889.33%11109122.7427910980004953041.59%21400000.9218000143
6Matt CoronatoMilwaukee Admirals (NSH)LW/RW6718304858063711644912310.98%1190013.443582066000003148.15%5400011.0703000512
7Jack RathboneMilwaukee Admirals (NSH)D551322353260845868244819.12%61118221.505382791000197310%000100.5900000304
8Jake LivingstoneMilwaukee Admirals (NSH)D508253318160663155183014.55%64116823.382462081000097210%000000.5600000141
9Mathieu OlivierPredatorsLW/RW2112183015240665293225012.90%844121.0216712450002310350.96%31200021.3602000322
10Gage GoncalvesMilwaukee Admirals (NSH)C59919281455178778246811.54%299716.912358930002770149.48%86700000.5612001111
11Connor BunnamanMilwaukee Admirals (NSH)C/LW6761420-6181040557115538.45%792513.820000230001280040.91%74800000.4311011022
12Joseph CecconiMilwaukee Admirals (NSH)D676121818200792845102013.33%69137920.5810191050001117020%000000.2600000210
13Michael BrodzinskiMilwaukee Admirals (NSH)D6431114-434061301671918.75%45115718.08213574000075000%000000.2400000110
14Lukas SvejkovskyMilwaukee Admirals (NSH)C/RW67771426024366764010.45%86549.770222250001300136.94%11100000.4300000001
15Michael VukojevicMilwaukee Admirals (NSH)D594101420220912420122320.00%62103317.510000360000470150.00%200000.2700000101
16Gustav LindstromPredatorsD254812-6455582832101312.50%2557623.05112947000135010%000000.4200100010
17Jack BadiniMilwaukee Admirals (NSH)C/LW655712560163448112710.42%46239.59112116000021042.53%39500000.3900000100
18Linus HogbergMilwaukee Admirals (NSH)D36210121916030161771711.76%3561617.13000039000138000%000000.3900000000
19Patrick HarperMilwaukee Admirals (NSH)C/LW386612-240152746131813.04%442411.1700000000001033.33%8400000.5700000000
20C.J. SmithMilwaukee Admirals (NSH)LW44314-32023263032010.00%444210.0500028000001033.33%4500000.1800000000
21Ryan JonesMilwaukee Admirals (NSH)D33033116038158470%4059918.17000325000050000%000000.1000000000
22Ethan KeppenMilwaukee Admirals (NSH)LW1020200091165633.33%1969.6300000000000050.00%600000.4200000001
23Ryan ZuhlsdorfMilwaukee Admirals (NSH)D4022400742000%17919.940000200007000%000000.5000000000
24James MelindyMilwaukee Admirals (NSH)D19112314020571414.29%1329215.421011700009000%000000.1400000000
25Nathan GaucherMilwaukee Admirals (NSH)C311012201519102310.00%01735.5900000000000038.82%17000000.1200000000
26Jakub DemekMilwaukee Admirals (NSH)RW10011100512020%1565.610000000000000%300000.3600000000
Team Total or Average120422539361819939020127011891891519131211.90%5472000916.623358912301390000251163321945.56%518900130.621041112363836
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
1Collin DeliaMilwaukee Admirals (NSH)67412230.8972.7638718317817300410.90241670463
2Jesper VikmanMilwaukee Admirals (NSH)50100.9212.3120800810100000067000
Team Total or Average72412330.8982.744079831861831041416767463


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 Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Axel Jonsson-FjallbyMilwaukee Admirals (NSH)LW2507.07.1998Yes189 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$180,000$0$0$No------------------NHL Link
C.J. SmithMilwaukee Admirals (NSH)LW2807.07.1995No183 Lbs5 ft11NoNoTrade20.01.2024NoNo2Pro & Farm500,000$100,000$0$0$No500,000$--------No--------NHL Link
Collin DeliaMilwaukee Admirals (NSH)G2907.07.1994No208 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$160,000$0$0$No------------------NHL Link
Connor BunnamanMilwaukee Admirals (NSH)C/LW2507.07.1998No207 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$120,000$0$0$No------------------NHL Link
Ethan KeppenMilwaukee Admirals (NSH)LW2207.07.2001Yes212 Lbs6 ft2NoNoTrade (Prospect)NoNo131.01.2024Pro & Farm100,000$20,000$0$0$No------------------NHL Link
Gage GoncalvesMilwaukee Admirals (NSH)C2207.07.2001No170 Lbs6 ft1NoNoN/ANoNo8Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--NHL Link
Henrik RybinskiMilwaukee Admirals (NSH)C/LW/RW2207.07.2001 15:10:02Yes172 Lbs6 ft1NoNoAssign ManuallyNoNo131.01.2024Pro & Farm100,000$20,000$0$0$No------------------
Jack BadiniMilwaukee Admirals (NSH)C/LW2507.07.1998No203 Lbs6 ft0NoNoN/ANoNo8Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--NHL Link
Jack RathboneMilwaukee Admirals (NSH)D2407.07.1999No177 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$180,000$0$0$No------------------NHL Link
Jake LivingstoneMilwaukee Admirals (NSH)D2407.07.1999Yes205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm700,000$140,000$0$0$No------------------
Jakob PelletierMilwaukee Admirals (NSH)C/LW2207.07.2001Yes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm800,000$160,000$0$0$No800,000$--------No--------NHL Link
Jakub DemekMilwaukee Admirals (NSH)RW2007.07.2003 2:44:49No203 Lbs6 ft4NoNoTrade30.11.2023NoNo10Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
James MelindyMilwaukee Admirals (NSH)D2907.07.1994No203 Lbs6 ft3NoNoN/ANoNo1Farm Only100,000$20,000$0$0$No------------------
Jesper VikmanMilwaukee Admirals (NSH)G2107.07.2002No176 Lbs6 ft3NoNoN/ANoNo8Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--
Joseph CecconiMilwaukee Admirals (NSH)D2607.07.1997No216 Lbs6 ft3NoNoN/ANoNo6Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$----NoNoNoNoNo----NHL Link
Judd CaulfieldMilwaukee Admirals (NSH)RW2207.07.2001Yes207 Lbs6 ft3NoNoTrade (Prospect)NoNo131.01.2024Pro & Farm100,000$20,000$0$0$No------------------
Juraj SlafkovskyMilwaukee Admirals (NSH)LW1907.07.2004Yes238 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,000,000$200,000$0$0$No1,000,000$1,000,000$-------NoNo-------NHL Link
Linus HogbergMilwaukee Admirals (NSH)D2507.07.1998No176 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$160,000$0$0$No------------------NHL Link
Lukas SvejkovskyMilwaukee Admirals (NSH)C/RW2107.07.2002No185 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Mason BeaupitMilwaukee Admirals (NSH)G2007.07.2003 16:06:41No185 Lbs6 ft5NoNoN/ANoNo10Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Matt CoronatoMilwaukee Admirals (NSH)LW/RW2007.07.2003Yes183 Lbs5 ft10NoNoN/ANoNo1Pro & Farm400,000$80,000$0$0$No------------------
Max JonesMilwaukee Admirals (NSH)LW/RW2507.07.1998No216 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$180,000$0$0$No------------------
Michael BrodzinskiMilwaukee Admirals (NSH)D2807.07.1995No194 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Michael VukojevicMilwaukee Admirals (NSH)D2207.07.2001No216 Lbs6 ft3NoNoN/ANoNo8Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--NHL Link
Nathan GaucherMilwaukee Admirals (NSH)C1907.07.2004 8:46:37No207 Lbs6 ft3NoNoN/ANoNo10Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Patrick HarperMilwaukee Admirals (NSH)C/LW2507.07.1998Yes159 Lbs5 ft8NoNoTrade (Prospect)NoNo131.01.2024Pro & Farm100,000$20,000$0$0$No------------------
Ryan JonesMilwaukee Admirals (NSH)D2707.07.1996No214 Lbs6 ft2NoNoN/ANoNo10Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoNHL Link
Ryan ZuhlsdorfMilwaukee Admirals (NSH)D2607.07.1997No187 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$20,000$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2823.68195 Lbs6 ft14.46357,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Axel Jonsson-FjallbyJakob PelletierMax Jones40122
2Juraj SlafkovskyConnor BunnamanMatt Coronato30122
3Patrick HarperJack BadiniLukas Svejkovsky20122
4Ethan KeppenNathan GaucherC.J. Smith10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack RathboneJake Livingstone40122
2Joseph CecconiRyan Jones30122
3Michael BrodzinskiMichael Vukojevic20122
4Jack RathboneJake Livingstone10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Axel Jonsson-FjallbyJakob PelletierMax Jones60005
2Juraj SlafkovskyConnor BunnamanMatt Coronato40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack RathboneJake Livingstone60005
2Joseph CecconiRyan Jones40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jakob PelletierAxel Jonsson-Fjallby60050
2Connor BunnamanMax Jones40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack RathboneJake Livingstone60050
2Joseph CecconiRyan Jones40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jakob Pelletier60050Jack RathboneJake Livingstone60050
2Axel Jonsson-Fjallby40050Joseph CecconiRyan Jones40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jakob PelletierAxel Jonsson-Fjallby60122
2Connor BunnamanJuraj Slafkovsky40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack RathboneJake Livingstone60122
2Joseph CecconiRyan Jones40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Axel Jonsson-FjallbyJakob PelletierMax JonesJack RathboneJake Livingstone
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Axel Jonsson-FjallbyJakob PelletierMax JonesJack RathboneJake Livingstone
Extra Forwards
Normal PowerPlayPenalty Kill
Axel Jonsson-Fjallby, Max Jones, Matt CoronatoLukas Svejkovsky, C.J. SmithJuraj Slafkovsky
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Livingstone, Jack Rathbone, Michael BrodzinskiMichael BrodzinskiMichael Brodzinski, Joseph Cecconi
Penalty Shots
Axel Jonsson-Fjallby, Matt Coronato, Max Jones, Jakob Pelletier, Juraj Slafkovsky
Goalie
#1 : Collin Delia, #2 : Jesper Vikman


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 Canucks302000101011-12020000079-21000001032120.333101626008684531273591677599667630145114428.57%7271.43%0941202946.38%938204545.87%485111543.50%156610681618514900444
2Bakersfield Condors30201000912-31010000056-12010100046-220.33391625008684531266591677599661002217566116.67%6266.67%0941202946.38%938204545.87%485111543.50%156610681618514900444
3Belleville Senators20100010410-6100000104311010000007-720.500461000868453125259167759966641710417114.29%5340.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
4Bridgeport Islanders1010000045-11010000045-10000000000000.000471100868453124059167759966214819300.00%30100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
5Calgary Wranglers320000101275210000109631100000031261.00012183000868453121045916775996674131249300.00%5260.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
6Charlotte Checkers10000010541100000105410000000000021.0005712008684531241591677599662110625400.00%20100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
7Chicago Wolves21000010945110000005141000001043141.0009152400868453125059167759966602116399222.22%7185.71%0941202946.38%938204545.87%485111543.50%156610681618514900444
8Cleveland Monsters11000000211000000000001100000021121.000246008684531227591677599662519817300.00%40100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
9Coachella Valley Firebirds220000001257110000007341100000052341.0001221330086845312815916775996649139322150.00%220.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
10Colorado Eagles21100000761211000007610000000000020.5007132000868453125659167759966622220436350.00%10280.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
11Grand Rapids Griffins1010000026-4000000000001010000026-400.0002460086845312205916775996632512105120.00%50100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
12Hartford Wolf Pack210000101055110000007341000001032141.00010172700868453126259167759966682612283133.33%6266.67%0941202946.38%938204545.87%485111543.50%156610681618514900444
13Henderson Silver Knights2000000268-2000000000002000000268-220.500612180086845312505916775996671121046300.00%4175.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
14Hershey Bears20101000330100010003211010000001-120.5003580086845312525916775996665221453100.00%7185.71%0941202946.38%938204545.87%485111543.50%156610681618514900444
15Iowa Wild4200001113852200000010552000001133070.87513233600868453121545916775996695302091300.00%9188.89%0941202946.38%938204545.87%485111543.50%156610681618514900444
16Laval Rocket21100000972110000006331010000034-120.50091423008684531261591677599665516844300.00%4175.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
17Lehigh Valley Phantoms2110000056-11010000014-31100000042220.50059140086845312405916775996634211035200.00%5180.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
18Manitoba Moose3210000012661010000023-122000000103740.66712223400868453128859167759966812022688225.00%10190.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
19Ontario Reign3120000078-11010000035-22110000043120.3337111801868453128059167759966662312471317.69%60100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
20Providence Bruins1010000023-1000000000001010000023-100.000246008684531212591677599664892183266.67%10100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
21Rochester Americans220000001239110000008081100000043141.00012172901868453126959167759966521710387342.86%50100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
22Rockford IceHogs3120000089-1211000005501010000034-120.333813210086845312815916775996686232457500.00%9277.78%0941202946.38%938204545.87%485111543.50%156610681618514900444
23San Diego Gulls330000001156220000008351100000032161.000112031008684531288591677599667820145710330.00%7271.43%0941202946.38%938204545.87%485111543.50%156610681618514900444
24San Jose Barracuda201000109901010000067-11000001032120.50091423008684531246591677599665516841200.00%4175.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
25Springfield Thunderbirds21000010725000000000002100001072541.0007111801868453125259167759966441125383133.33%80100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
26Syracuse Crunch22000000954110000006331100000032141.00091524008684531256591677599664816430100.00%2150.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
27Texas Stars4220000010912110000034-12110000075240.5001018281086845312104591677599669833237315320.00%9188.89%0941202946.38%938204545.87%485111543.50%156610681618514900444
28Toronto Marlies2110000023-1110000002111010000002-220.5002240086845312455916775996658161423500.00%7185.71%0941202946.38%938204545.87%485111543.50%156610681618514900444
29Tucson Roadrunners32100000131032110000078-11100000062440.66713233600868453126259167759966852420638225.00%9277.78%0941202946.38%938204545.87%485111543.50%156610681618514900444
30Utica Comets1010000026-41010000026-40000000000000.00023500868453122559167759966351314254125.00%7357.14%0941202946.38%938204545.87%485111543.50%156610681618514900444
31W-B/Scranton Penguins11000000844110000008440000000000021.00081321008684531255591677599662652133133.33%10100.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
Total6730230209323419044341713010301401093133131001063948113850.6342343936271386845312189259167759966183254940012701643320.12%1763580.11%0941202946.38%938204545.87%485111543.50%156610681618514900444
_Since Last GM Reset6730230209323419044341713010301401093133131001063948113850.6342343936271386845312189259167759966183254940012701643320.12%1763580.11%0941202946.38%938204545.87%485111543.50%156610681618514900444
_Vs Conference42191401053146115312110100001079709219401043674522530.631146251397128684531211855916775996611203122508121012120.79%1052180.00%0941202946.38%938204545.87%485111543.50%156610681618514900444
_Vs Division21116000217665111064000004539611520002131265270.6437612820401868453125885916775996656914996379531018.87%411270.73%0941202946.38%938204545.87%485111543.50%156610681618514900444

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6785W123439362718921832549400127013
All Games
GPWLOTWOTL SOWSOLGFGA
6730232093234190
Home Games
GPWLOTWOTL SOWSOLGFGA
3417131030140109
Visitor Games
GPWLOTWOTL SOWSOLGFGA
33131010639481
Last 10 Games
WLOTWOTL SOWSOL
900001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1643320.12%1763580.11%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5916775996686845312
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
941202946.38%938204545.87%485111543.50%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
156610681618514900444


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
15Milwaukee Admirals3Syracuse Crunch2AWBoxScore
213Coachella Valley Firebirds3Milwaukee Admirals7BWBoxScore
424Milwaukee Admirals2Providence Bruins3ALBoxScore
645Bakersfield Condors6Milwaukee Admirals5BLBoxScore
856Milwaukee Admirals3Hartford Wolf Pack2AWXXBoxScore
1075San Jose Barracuda7Milwaukee Admirals6BLBoxScore
1294Abbotsford Canucks3Milwaukee Admirals2BLBoxScore
15120Toronto Marlies1Milwaukee Admirals2BWBoxScore
18143Milwaukee Admirals3Abbotsford Canucks2AWXXBoxScore
19153Milwaukee Admirals5Coachella Valley Firebirds2AWBoxScore
21168Milwaukee Admirals1Bakersfield Condors4ALBoxScore
23183Milwaukee Admirals3Calgary Wranglers1AWBoxScore
25198Milwaukee Admirals4Manitoba Moose2AWBoxScore
27216Tucson Roadrunners3Milwaukee Admirals4BWBoxScore
29229San Diego Gulls1Milwaukee Admirals3BWBoxScore
30238Rockford IceHogs1Milwaukee Admirals3BWBoxScore
34269Colorado Eagles5Milwaukee Admirals3BLBoxScore
37294Calgary Wranglers2Milwaukee Admirals4BWBoxScore
38305Milwaukee Admirals4Springfield Thunderbirds0AWBoxScore
40318Manitoba Moose3Milwaukee Admirals2BLBoxScore
42334W-B/Scranton Penguins4Milwaukee Admirals8BWBoxScore
43344Iowa Wild3Milwaukee Admirals5BWBoxScore
45358Hartford Wolf Pack3Milwaukee Admirals7BWBoxScore
47374Milwaukee Admirals4Rochester Americans3AWBoxScore
48384Milwaukee Admirals3Rockford IceHogs4ALBoxScore
51411Syracuse Crunch3Milwaukee Admirals6BWBoxScore
52415Milwaukee Admirals0Toronto Marlies2ALBoxScore
54434Milwaukee Admirals3Laval Rocket4ALBoxScore
56449Lehigh Valley Phantoms4Milwaukee Admirals1BLBoxScore
58464Milwaukee Admirals4Chicago Wolves3AWXXBoxScore
59474Hershey Bears2Milwaukee Admirals3BWXBoxScore
62499Abbotsford Canucks6Milwaukee Admirals5BLBoxScore
63505Milwaukee Admirals4Lehigh Valley Phantoms2AWBoxScore
65523Texas Stars3Milwaukee Admirals1BLBoxScore
67540Milwaukee Admirals0Hershey Bears1ALBoxScore
69557Chicago Wolves1Milwaukee Admirals5BWBoxScore
70568Milwaukee Admirals2Grand Rapids Griffins6ALBoxScore
72582Calgary Wranglers4Milwaukee Admirals5BWXXBoxScore
74599Rockford IceHogs4Milwaukee Admirals2BLBoxScore
75609Milwaukee Admirals2Texas Stars3ALBoxScore
78630San Diego Gulls2Milwaukee Admirals5BWBoxScore
80648Bridgeport Islanders5Milwaukee Admirals4BLBoxScore
81658Milwaukee Admirals5Texas Stars2AWBoxScore
84682Milwaukee Admirals3Henderson Silver Knights4ALXXBoxScore
86701Milwaukee Admirals2Ontario Reign3ALBoxScore
89719Milwaukee Admirals6Tucson Roadrunners2AWBoxScore
90726Charlotte Checkers4Milwaukee Admirals5BWXXBoxScore
93752Milwaukee Admirals2Iowa Wild1AWXXBoxScore
95775Milwaukee Admirals3Bakersfield Condors2AWXBoxScore
97788Ontario Reign5Milwaukee Admirals3BLBoxScore
98796Milwaukee Admirals0Belleville Senators7ALBoxScore
100814Tucson Roadrunners5Milwaukee Admirals3BLBoxScore
102828Utica Comets6Milwaukee Admirals2BLBoxScore
104845Texas Stars1Milwaukee Admirals2BWBoxScore
105855Milwaukee Admirals3Springfield Thunderbirds2AWXXBoxScore
108880Milwaukee Admirals3Henderson Silver Knights4ALXXBoxScore
109893Milwaukee Admirals2Ontario Reign0AWBoxScore
111909Milwaukee Admirals3San Jose Barracuda2AWXXBoxScore
113925Milwaukee Admirals3San Diego Gulls2AWBoxScore
115937Colorado Eagles1Milwaukee Admirals4BWBoxScore
116947Iowa Wild2Milwaukee Admirals5BWBoxScore
118964Belleville Senators3Milwaukee Admirals4BWXXBoxScore
120981Laval Rocket3Milwaukee Admirals6BWBoxScore
121989Rochester Americans0Milwaukee Admirals8BWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1241012Milwaukee Admirals2Cleveland Monsters1AWBoxScore
1251021Milwaukee Admirals1Iowa Wild2ALXXBoxScore
1281048Milwaukee Admirals6Manitoba Moose1AWBoxScore
1301066Milwaukee Admirals-Coachella Valley Firebirds-
1321078San Jose Barracuda-Milwaukee Admirals-
1341091Milwaukee Admirals-Charlotte Checkers-
1381125Grand Rapids Griffins-Milwaukee Admirals-
1391132Henderson Silver Knights-Milwaukee Admirals-
1421159Milwaukee Admirals-Tucson Roadrunners-
1431167Milwaukee Admirals-Colorado Eagles-
1461190Providence Bruins-Milwaukee Admirals-
1481209Springfield Thunderbirds-Milwaukee Admirals-
1501221Milwaukee Admirals-Bridgeport Islanders-
1511229Milwaukee Admirals-Utica Comets-
1531250Manitoba Moose-Milwaukee Admirals-
1551265Milwaukee Admirals-Rockford IceHogs-
1561274Cleveland Monsters-Milwaukee Admirals-
1581288Milwaukee Admirals-W-B/Scranton Penguins-



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
7 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
855,377$ 1,000,000$ 1,000,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
6,250$ 855,377$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 32 6,250$ 200,000$




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

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 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