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AdmiralsMilwaukee
Admirals
1-1-0, 2pts · 8th in OUEST
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Michael McCarron47C/RW100.007172785885596657826559715560580506629750,000$/4yrs
Hendrix Lapierre (R)20C100.0056586963636661576559606154545405063221,105,833$/3yrs
Callahan Burke68C/RW100.005559676260676459555759635462570506327750,000$/2yrs
Joseph Blandisi64C100.005657645961656359705859625467600506329775,000$/1yrs
Brendan Gaunce16C100.005653675872605857705757605466600506230762,500$/2yrs
Noah Philp61C/LW100.005560655866646258605659615460560506225925,000$/1yrs
Nolan Stevens21C/LW100.005557675864636258555759615663580506227750,000$/2yrs
Spencer Smallman (A)75LW/RW100.005559655965666458555658635463580506227762,500$/2yrs
Justin Richards (A)90C/RW100.005654655962666459695957605460560506226750,000$/2yrs
Kyle MacLean32C/LW100.005656625963676658705758615458550506224750,000$/2yrs
Sam Anas7LW/RW100.005458686154646259555859605869610506230775,000$/1yrs
Calvin De Haan4D100.007247826275728258407159835472590507132850,000$/2yrs
Johnathan Kovacevic26D100.006757817178747056406857825456580507026766,667$/3yrs
Philip Broberg86D100.0061478259726363574066567454555605066221,713,333$/2yrs
Mason Geertsen55C/LWD100.006267655676626354515756665463590506329750,000$/3yrs
Nate Clurman84D100.005555675667626155405555635460560506125775,000$/2yrs
Dean Stewart58D100.005554675766646256405654605460560506125775,000$/1yrs
Griffin Mendel45D100.005555675773646356405556595458550506125750,000$/2yrs
Scratches
Sonny Milano15LW/RW88.856541877375677867517566675462580507227750,000$/4yrs
Shawn Element13C100.005756635763626256705656605456540506124775,000$/1yrs
Cedric Lacroix24C/LW100.005854655562585854555454605467600505929775,000$/1yrs
Kyle Topping6C100.005351615460605954675452575154510505824775,000$/1yrs
Joe Carroll85C/LW100.005555645562555555555455585455530505823775,000$/1yrs
Carson Golder10C100.005451655160515151525151575151490505521750,000$/1yrs
Micah Miller5RW100.005151655160515151525151575158530505525775,000$/1yrs
Tyler Hinam46RW100.005151655161525151525151575156520505524775,000$/1yrs
Jami Krannila63C100.005151655252525251675151565154510505523775,000$/1yrs
Tory Dello66D92.805555655763636256405656645462570506127775,000$/1yrs
Calle Sjalin (R)79D100.005254635457585752385253575156520505724925,000$/1yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Devon Levi33100.006953576984617669775382525205069221,566,667$/3yrs
Aaron Dell35100.00616363616658676461605978650506434775,000$/1yrs
Scratches
Zach Sawchenko31100.00596363646656666359606362560506326750,000$/2yrs
Pavel Cajan34100.00545757646352635653555549480505821775,000$/1yrs
Nolan Maier1100.00535354596251635353535651480505623775,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pierre Houde75757575757575Can6650$
General Manager
Player Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Joseph BlandisiAdmiralsAdmirals (NAS)C2112-100231233.33%015.9710100040052.27%001.00000.62
2Justin RichardsAdmiralsAdmirals (NAS)C/RW2112-100233533.33%013.340110000100.00%001.00000.75
3Brendan GaunceAdmiralsAdmirals (NAS)C201112024110.00%014.4300000000060.00%000.50000.52
4Noah PhilpAdmiralsAdmirals (NAS)C/LW201110013130.00%014.060000003000.00%000.50000.66
5Nolan StevensAdmiralsAdmirals (NAS)C/LW2101000030133.33%08.9000000000144.44%000.50000.50
6Nate ClurmanAdmiralsAdmirals (NAS)D101100022000.00%119.120000004000.00%001.00000.88
7Kyle MacLeanAdmiralsAdmirals (NAS)C/LW201110033020.00%014.3500000000065.00%000.50000.67
8Calvin De HaanAdmiralsAdmirals (NAS)D201104042120.00%822.960110002000.00%000.50000.28
9Sam AnasAdmiralsAdmirals (NAS)LW/RW2011100110100.00%016.64000000000100.00%000.50000.86
10Tory DelloAdmiralsAdmirals (NAS)D11010202101100.00%214.530000000000.00%001.00000.65
11Hendrix LapierreAdmiralsAdmirals (NAS)C100000011120.00%017.3500000000053.33%000.00000.14
12Callahan BurkeAdmiralsAdmirals (NAS)C/RW200000013110.00%017.61000000400100.00%000.00000.14
13Spencer SmallmanAdmiralsAdmirals (NAS)LW/RW200000014010.00%014.61000000000100.00%000.00000.17
14Johnathan KovacevicAdmiralsAdmirals (NAS)D200002011120.00%223.090000004000.00%000.0000-0.09
15Michael McCarronAdmiralsAdmirals (NAS)C/RW2000000104080.00%017.7100000010067.44%000.00000.39
16Sonny MilanoAdmiralsAdmirals (NAS)LW/RW200000025050.00%010.8300000000050.00%000.00000.24
17Mason GeertsenAdmiralsAdmirals (NAS)C/LW/D200000030050.00%019.930000003000.00%000.00000.07
18Dean StewartAdmiralsAdmirals (NAS)D200020015120.00%116.680000000000.00%000.00000.58
19Griffin MendelAdmiralsAdmirals (NAS)D100020030010.00%015.280000000000.00%000.00000.80
20Philip BrobergAdmiralsAdmirals (NAS)D2000-10042120.00%121.090000004000.00%000.0000-0.04
Team Total or Average3648125100465913466.78%1516.4112344000361159.88%16200000.4100
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
1Devon LeviAdmiralsAdmirals (NAS)21100.9511.51119003610000.000020100
Team Total or Average21100.9511.51119003610000.000020100
Salary
Player Name POS Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Aaron Dell G34775,000$775,000$ UFA
Brendan Gaunce C30762,500$762,500$ 762,500$ UFA
Callahan Burke C/RW27750,000$775,000$ 775,000$ UFA
Calle Sjalin D24925,000$925,000$ RFA
Calvin De Haan D32850,000$850,000$ 775,000$ UFA
Carson Golder C21750,000$750,000$ RFA
Cedric Lacroix C/LW29775,000$775,000$ UFA
Dean Stewart D25775,000$775,000$ RFA
Devon Levi G221,566,667$1,566,667$ 1,566,667$ 1,566,667$ RFA
Griffin Mendel D25750,000$790,000$ 790,000$ RFA
Hendrix Lapierre C221,105,833$1,105,833$ 1,105,833$ 1,105,833$ RFA
Jami Krannila C23775,000$775,000$ RFA
Joe Carroll C/LW23775,000$775,000$ RFA
Johnathan Kovacevic D26766,667$766,667$ 766,667$ 766,667$ UFA
Joseph Blandisi C29775,000$775,000$ UFA
Justin Richards C/RW26750,000$750,000$ 775,000$ UFA
Kyle MacLean C/LW24750,000$800,000$ 800,000$ RFA
Kyle Topping C24775,000$775,000$ RFA
Mason Geertsen C/LW/D29750,000$750,000$ 775,000$ 775,000$ UFA
Micah Miller RW25775,000$775,000$ RFA
Michael McCarron C/RW29750,000$750,000$ 775,000$ 900,000$ 900,000$ UFA
Nate Clurman D25775,000$775,000$ 775,000$ RFA
Noah Philp C/LW25925,000$925,000$ RFA
Nolan Maier G23775,000$775,000$ RFA
Nolan Stevens C/LW27750,000$750,000$ 775,000$ UFA
Pavel Cajan G21775,000$775,000$ RFA
Philip Broberg D221,713,333$1,713,333$ 1,713,333$ RFA
Sam Anas LW/RW30775,000$775,000$ UFA
Shawn Element C24775,000$775,000$ RFA
Sonny Milano LW/RW27750,000$750,000$ 1,900,000$ 1,900,000$ 1,900,000$ UFA
Spencer Smallman LW/RW27762,500$762,500$ 762,500$ UFA
Tory Dello D27775,000$775,000$ UFA
Tyler Hinam RW24775,000$775,000$ RFA
Zach Sawchenko G26750,000$750,000$ 775,000$ UFA

Lines
Forward Lines


# - Hendrix Lapierre


# - Michael McCarron


# - Spencer Smallman


# - Mason Geertsen


# - Kyle MacLean


# - Sam Anas


# - Noah Philp


# - Brendan Gaunce


# - Callahan Burke


# - Nolan Stevens


# - Joseph Blandisi


# - Justin Richards

Defensive Pairings


# - Johnathan Kovacevic


# - Calvin De Haan


# - Philip Broberg


# - Dean Stewart


# - Griffin Mendel


# - Nate Clurman

1st Power Play Unit


# - Callahan Burke


# - Michael McCarron


# - Spencer Smallman


# - Johnathan Kovacevic


# - Calvin De Haan

2nd Power Play Unit


# - Noah Philp


# - Kyle MacLean


# - Sam Anas


# - Philip Broberg


# - Mason Geertsen

Goalies


# - Devon Levi


# - Aaron Dell

Team Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
1AdmiralsIowa Wild2110000043120.5004812001210592316200611510465120.00%5180.00%0437358.90%466570.77%82433.33%47314415271360.0%6.8%95.1%101.9DULL
_Vs Division2110000043120.5004812001210592316200611510465120.00%5180.00%0437358.90%466570.77%82433.33%47314415271360.0%6.8%95.1%101.9DULL
_Vs Conference2110000043120.5004812001210592316200611510465120.00%5180.00%0437358.90%466570.77%82433.33%47314415271360.0%6.8%95.1%101.9DULL
_Since Last GM Reset2110000043120.5004812001210592316200611510465120.00%5180.00%0437358.90%466570.77%82433.33%47314415271360.0%6.8%95.1%101.9DULL
Total2110000043120.5004812001210592316200611510465120.00%5180.00%0437358.90%466570.77%82433.33%47314415271360.0%6.8%95.1%101.9DULL

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 73
Neutral Zone Start 24
Defensive Zone Start 65
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 97
Faceoffs Lost 65
Team Average Shots after League Average Shots after
1st Period 11.59.57
2nd Period 19.520.31
3rd Period 29.530.68
Overtime 29.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.51.65
3rd Period 2.02.67
Overtime 2.02.83
Even Strenght Goal 3
PP Goal 1
PK Goal 0
Empty Net Goal 0
Home Away
Win 01
Lost 01
Overtime Lost 00
PP Attempt 5
PP Goal 1
PK Attempt 5
PK Goal Against 1
Home
Shots For 29.5
Shots Against 30.5
Goals For 2.0
Goals Against 1.5
Hits 23.0
Shots Blocked 7.5
Pim 5.0
Schedule
DateMatchup Result Detail
Sat, Apr 20AdmiralsMIL@AdmiralsIOWMIL1,IOW2RECAP
Mon, Apr 22AdmiralsMIL@AdmiralsIOWMIL3,IOW1RECAP
Wed, Apr 24AdmiralsIOW@AdmiralsMIL
Fri, Apr 26AdmiralsIOW@AdmiralsMIL
Sun, Apr 28AdmiralsMIL@AdmiralsIOW
Trade Deadline --- Trades can’t be done after this day is simulated!
Tue, Apr 30AdmiralsIOW@AdmiralsMIL
Thu, May 2AdmiralsMIL@AdmiralsIOW

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
2,861,750$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityMilwaukee
Capacity3000
Season Ticket Holders15%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price40$27$$$$
Attendance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
2,861,750$ 2,850,250$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
0$ 0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 9 0$ 0$

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

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

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Admirals1-1-0, 2ptsTue, Apr 23
Iowa Wild1-1-0, 2pts

Admirals1-1-0, 2ptsTue, Apr 23
Iowa Wild1-1-0, 2pts

Iowa Wild1-1-0, 2ptsThu, Apr 25
Admirals1-1-0, 2pts

TRANSACTIONS



 

Team Info

Admirals
Head CoachPierre Houde
DivisionCENTRALE
CityMilwaukee
Stadium Capacity3,000

Admirals Affiliation

Admirals
General Manager
Head CoachJacques Demers
Stadium
Capacity17,000

Team Leaders


GOALS
Tory Dello
AdmiralsAdmirals
1
GOALS
POINTS
Joseph Blandisi
AdmiralsAdmirals
2
POINTS
WINS
Devon Levi
AdmiralsAdmirals
1
WINS
Expanded Player Leaderboard

Team Stats


Goals For
4
2.00 GFG
Goals Against
3
1.50 GAA
Power Play Percentage
20.0%
1 GF
Penalty Kill Percentage
80.0%
1 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain