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Milwaukee Admirals
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Eriq Christiansson | Morale : 50 | Team Overall : 59

Team Leaders

Team Stats
Team Info

General ManagerEriq Christiansson
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team11
Farm Team12
Contract Limit23 / 50
Prospects41


Team History

This Season0-0-0 (0PTS)
History59-16-8 (0.711%)
Playoff Appearances1
Playoff Record (W-L)11 - 8 (0.579%)
Stanley Cup0


Filter Tips
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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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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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Matthew Wood0XX100.00754095747266887568757455554741050650201950,000$
2Fedor Svechkov0X100.007638926874668865797565605351450506302221,250,000$
3Zachary L'Heureux0X100.00927089686168697045647074594844050630222875,000$
4Joakim Kemell0X100.00795795626262786245696257544444050590211886,667$
5Kalan Lind (R)0XX100.00716773575850675955545756524343050530201775,000$
6Austin Roest (R)0X100.00625387525550755175555153454444050510211775,000$
7Ryan Ufko0X100.00693791746563806625756169534545050630221942,500$
8Cal Foote (R)0X100.00613389595850785725555171485249050570261775,000$
9Andrew Gibson (R)0X100.00715781546250905025515068454343050560201775,000$
10Tanner Molendyk (R)0X100.00603493595750845725555064474343050550201775,000$
Scratches
1Spencer Stastney0X100.006337926576678662256157823950450506402500$
TEAM AVERAGE100.0071488963645880614563596450464405059
Filter Tips
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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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
Scratches
TEAM AVERAGE0.000000000000000000
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
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


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall 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 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
Andrew GibsonMilwaukee Admirals (NAS)D202005-02-13CANYes188 Lbs6 ft3NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Link
Austin RoestMilwaukee Admirals (NAS)C212004-01-22CANYes166 Lbs5 ft10NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Link
Cal FooteMilwaukee Admirals (NAS)D261998-12-13CANYes170 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Link
Fedor SvechkovMilwaukee Admirals (NAS)C222003-04-05RUSNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm1,250,000$1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Link / NHL Link
Joakim KemellMilwaukee Admirals (NAS)RW212004-04-27FINNo182 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-07FalseFalsePro & Farm886,667$886,667$0$0$No---------------------------Link / NHL Link
Kalan LindMilwaukee Admirals (NAS)LW/RW202005-01-25CANYes163 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Link
Matthew WoodMilwaukee Admirals (NAS)C/RW202005-02-06CANNo205 Lbs6 ft5NoNoProspectNoNo12026-06-13FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Link / NHL Link
Ryan UfkoMilwaukee Admirals (NAS)D222003-05-07USANo174 Lbs6 ft0NoNoDraftNoNo12026-07-03FalseFalsePro & Farm942,500$942,500$0$0$No---------------------------Link
Spencer StastneyMilwaukee Admirals (NAS)D252000-01-04USANo184 Lbs6 ft0NoNoAssign ManuallyYesYes02024-07-25FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Tanner MolendykMilwaukee Admirals (NAS)D202005-02-03CANYes174 Lbs5 ft11NoNoDraftNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Link
Zachary L'HeureuxMilwaukee Admirals (NAS)LW222003-05-15CANNo197 Lbs5 ft11NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1121.73181 Lbs6 ft01.09798,106$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135014
230023
320023
415122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135041
230041
320050
415122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240023
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160023
240023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , Joakim Kemell,
Custom OT Lines Defensemen
, , , ,


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
OverallHome Visitor
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 877,917$ 877,917$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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
1Trey Fix-Wolansky8256691254341459033916.52%25148118.071627433200006537.65%21.6947
2Vinnie Hinostroza82645912341610711931620.25%43154818.8822194136112311434.65%31.5917
3Fedor Svechkov8216658137127914010714.95%32154518.85528331801140050.97%01.0512
4Kieffer Bellows82334275-91610311331210.58%45144417.6279162410162243.48%01.0406
5Joakim Kemell82283462120637618914.81%35125715.34336900007252.50%00.9900

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
1Matthew Murray82561470.9022.87475412022723051299410.75020
2Yaroslav Askarov52200.8823.221490086837010.7147
3Julian Junca21000.9232.07580022620001.0003

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
202482481606552348241107412470442017412549412490213217411658125348564912207313013416274977998097446240186837518912377330.80%882571.59%3847161052.61%724144650.07%625126549.41%170491916407901623805
Total Regular Season82481606552348241107412470442017412549412490213217411658125348564912207313013416274977998097446240186837518912377330.80%882571.59%3847161052.61%724144650.07%625126549.41%170491916407901623805
Playoff
2024191180000077631410640000042321095400000353142277129206101133321665172244247256519763431591627.12%24483.33%117438545.19%18335052.29%16029853.69%395215385177361182
Total Playoff191180000077631410640000042321095400000353142277129206101133321665172244247256519763431591627.12%24483.33%117438545.19%18335052.29%16029853.69%395215385177361182

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
1Trey Fix-Wolansky191117284035178413.10%1134117.96246900002042.86%01.6400
2Vinnie Hinostroza19189274220347125.35%1136419.18729900001053.85%01.4800
3Kieffer Bellows191411252220287518.67%533717.77235501102041.18%11.4800
4Nick Blankenburg1911617094840422.38%2550326.5012320000000%00.6800
5Spencer Stastney1921517001139414.88%3350726.6906640001000%00.6700

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
1Matthew Murray1911710.8923.20112600605552971100
2Julian Junca10000.7788.5714002960000





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