MooseManitoba Moose
14-10-7, 35pts · 8th in Conference 2
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Klim Kostin0C/LW/RW99.0079626770918178704966656668736315068262,500,000$/3yrs
Colton Dach0C99.007444737177746366506361656651501506422975,000$/2yrs
Aydar Suniev (R)0LW99.005640696775765962405959596351501506020923,333$/2yrs
Sammy Walker0C/LW/RW99.005443717054686663446457576354501506026855,000$/1yrs
Lleyton Roed0LW99.0065416861686261614258576159505015059221,000,000$/3yrs
Josh Dunne0C99.0065446662696664615758546059545015059261,100,000$/1yrs
Yegor Sidorov (R)0RW99.005541686260616062426058546150501505821865,000$/2yrs
Josiah Slavin0LW99.0058427063646866614356555460545015058261,200,000$/4yrs
Aidan McDonough0LW100.006141716567656160425356596053501505825975,000$/4yrs
Matthew Seminoff0RW100.006142706562626058415552585950501505721975,000$/2yrs
Philippe Myers0D100.007047727080797368406261716669611506828975,000$/2yrs
Simon Nemec0D99.005945777679826871406665707156501506821975,000$/1yrs
Jimmy Schuldt0D99.0064456866647170644061577062635715064301,500,000$/3yrs
Samuel Bolduc0D100.0058407664787165674064615964575015063241,125,000$/4yrs
Matt Kiersted0D100.0064446669637067644062546962605015063271,000,000$/4yrs
Connor Mackey0D100.0060595566657168634059576762605015062281,750,000$/1yrs
Akito Hirose0D100.005541707060676259405454646053501506026975,000$/1yrs
Isaac Belliveau (R)0D100.006141676262605857405454645850501505922875,000$/1yrs
Scratches
Massimo Rizzo (R)0C100.005741686258626158415755575851501505724925,000$/1yrs
Luke Haymes0C100.0061406661625856564854545757505015056211,000,000$/3yrs
Tag Bertuzzi0C/LW/RW100.0061406560646158524051515354525015054241,000,000$/3yrs
Ben Gleason0D88.3657437067626664624061566362555015061271,425,000$/3yrs
Jesse Pulkkinen (R)0D100.006240665966555355405453595650501505720880,833$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Devin Cooley0100.00746769657069716770716357511506328975,000$/4yrs
Adam Scheel0100.007262616567687168696755545015062261,000,000$/2yrs
Scratches
Mitchell Weeks0100.006961636465646663656655525015059241,000,000$/3yrs
Gabriel Carriere0100.006959596364646562656455525015058241,000,000$/3yrs
Eetu Makiniemi0100.00695957636363646164635254501505826975,000$/4yrs
Filip Larsson0100.006560606062636562646352545015057261,000,000$/3yrs
Michael Simpson0100.006358576361606158626055505015056221,000,000$/3yrs
Luke Cavallin0100.006356566661595955606051525015055241,000,000$/3yrs
Callum Tung0100.006257576561595957615954505015055211,000,000$/3yrs
William Rousseau0100.006357576261606058616054505015055221,000,000$/3yrs
T.J. Semptimphelter0100.005957576358565554555854515015053231,000,000$/3yrs
Vyacheslav Buteyets0100.005857576759565654565854515015053231,000,000$/3yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Huska8683788376671CAN493500,000$
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
1Klim KostinMooseMoose (WPG)C/LW/RW31181331-3482057115306215.65%2424.94527000556048.43%111.00370.76
2Simon NemecMooseMoose (WPG)D315242911915296731337.46%4627.4136900068110.00%000.94110.78
3Aydar SunievMooseMoose (WPG)LW3110818-232105270154814.29%922.24156000551141.03%000.58370.44
4Sammy WalkerMooseMoose (WPG)C/LW/RW3151318220317218326.94%1118.39044011170043.90%000.58370.63
5Yegor SidorovMooseMoose (WPG)RW316101634031628389.68%717.3703300001033.33%000.52000.56
6Josh DunneMooseMoose (WPG)C31951441003942142821.43%1119.04123000291148.15%000.45020.45
7Lleyton RoedMooseMoose (WPG)LW316713080473172019.35%718.45224101370121.05%000.42240.37
8Josiah SlavinMooseMoose (WPG)LW316612440443572617.14%916.8600000071057.89%000.39000.43
9Jimmy SchuldtMooseMoose (WPG)D312911-2280303511145.71%3725.942130005301100.00%000.35000.19
10Colton DachMooseMoose (WPG)C30358-2803626162211.54%1016.17011000140044.74%000.27000.23
11Connor MackeyMooseMoose (WPG)D31145138103428773.57%2720.5510101131000.00%000.16000.01
12Akito HiroseMooseMoose (WPG)D3105537597350.00%614.7000000017000.00%000.16000.12
13Tag BertuzziMooseMoose (WPG)C/LW/RW8134-1751311289.09%619.1300000050040.00%000.50000.33
14Luke HaymesMooseMoose (WPG)C81342601372514.29%217.2301100000050.65%000.50000.40
15Isaac BelliveauMooseMoose (WPG)D2302204075340.00%59.30000000400100.00%000.09000.06
16Jesse PulkkinenMooseMoose (WPG)D802252071100.00%413.650000001000.00%000.25000.37
17Massimo RizzoMooseMoose (WPG)C802220066110.00%07.3700000000037.50%000.25000.31
18Ben GleasonMooseMoose (WPG)D28011440141910120.00%2222.2700000041000.00%000.04000.13
19Aidan McDonoughMooseMoose (WPG)LW31011-3402512490.00%29.4300000000025.00%000.03000.01
20Matthew SeminoffMooseMoose (WPG)RW400000011000.00%07.2800000000066.67%000.00000.02
21Philippe MyersMooseMoose (WPG)D23000-42045250.00%15.5900000040016.67%000.0000-0.05
22Samuel BolducMooseMoose (WPG)D2300000040020.00%12.060000001000.00%000.00000.01
23Matt KierstedMooseMoose (WPG)D23000-20010000.00%01.020000000000.00%000.0000-0.03
Team Total or Average55873123196122376553465719238111.11%24716.6815274248612344811546.84%1456130195110.421228
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
1Devin CooleyMooseMoose (WPG)2511860.9082.1115340254585303020.60020256302
2Adam ScheelMooseMoose (WPG)63210.8773.29365002016390100.600566001
Team Total or Average31141070.9012.3418990274748393120.600253112303
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Adam Scheel G261,000,000$1,000,000$ 1,000,000$ UFA
Aidan McDonough LW25975,000$975,000$ 975,000$ 975,000$ 975,000$ UFA
Akito Hirose D26975,000$975,000$ RFA
Aydar Suniev LW20923,333$975,000$ 975,000$ RFA
Ben Gleason D271,425,000$1,425,000$ 1,425,000$ 1,425,000$ UFA
Callum Tung G211,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Colton Dach C22975,000$975,000$ 975,000$ RFA
Connor Mackey D281,750,000$1,750,000$ UFA
Devin Cooley G28975,000$975,000$ 975,000$ 975,000$ 975,000$ UFA
Eetu Makiniemi G26975,000$975,000$ 975,000$ 975,000$ 975,000$ UFA
Filip Larsson G261,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Gabriel Carriere G241,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Isaac Belliveau D22875,000$975,000$ RFA
Jesse Pulkkinen D20880,833$975,000$ 975,000$ RFA
Jimmy Schuldt D301,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Josh Dunne C261,100,000$1,100,000$ RFA
Josiah Slavin LW261,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Klim Kostin C/LW/RW262,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
Lleyton Roed LW221,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Luke Cavallin G241,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Luke Haymes C211,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Massimo Rizzo C24925,000$975,000$ RFA
Matt Kiersted D271,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Matthew Seminoff RW21975,000$975,000$ 975,000$ RFA
Michael Simpson G221,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Mitchell Weeks G241,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Philippe Myers D28975,000$975,000$ 975,000$ UFA
Sammy Walker C/LW/RW26855,000$975,000$ RFA
Samuel Bolduc D241,125,000$1,125,000$ 1,125,000$ 1,125,000$ 1,125,000$ UFA
Simon Nemec D21975,000$975,000$ RFA
T.J. Semptimphelter G231,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Tag Bertuzzi C/LW/RW241,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Vyacheslav Buteyets G231,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
William Rousseau G221,000,000$1,000,000$ 1,000,000$ 1,000,000$ RFA
Yegor Sidorov RW21865,000$975,000$ 975,000$ RFA

Lines
Forward Lines


# - Aydar Suniev


# - Klim Kostin


# - Colton Dach


# - Lleyton Roed


# - Klim Kostin


# - Sammy Walker


# - Josiah Slavin


# - Josh Dunne


# - Yegor Sidorov


# - Aidan McDonough


# - Aydar Suniev


# - Klim Kostin

Defensive Pairings


# - Simon Nemec


# - Jimmy Schuldt


# - Connor Mackey


# - Simon Nemec


# - Akito Hirose


# - Simon Nemec

1st Power Play Unit


# - Aydar Suniev


# - Klim Kostin


# - Sammy Walker


# - Simon Nemec


# - Jimmy Schuldt

2nd Power Play Unit


# - Lleyton Roed


# - Klim Kostin


# - Sammy Walker


# - Connor Mackey


# - Simon Nemec

Goalies


# - Devin Cooley


# - Adam Scheel

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
1MooseIceHogs31200000610-420.33361016101131311182130259261341153614488225.00%70100.00%023349347.26%28258248.45%16735547.04%56623861033172436528.6%7.3%91.3%98.6DULL
2MooseMonsters2000011033030.750347001131311120130259261342741228200.00%6266.67%123349347.26%28258248.45%16735547.04%56623861033172436575.0%15.0%88.9%103.9FUN
3MooseStars2200000061541.0006915011131311136130259261341886283133.33%30100.00%023349347.26%28258248.45%16735547.04%56623861033172436583.3%16.7%94.4%111.1LUCKY
4MooseGriffins30200010814-620.33381220001131311178130259261341123639542150.00%12466.67%023349347.26%28258248.45%16735547.04%56623861033172436541.2%10.3%87.5%97.8FUN
5MooseCondors1100000031221.0003690011313111261302592613416614135240.00%20100.00%023349347.26%28258248.45%16735547.04%56623861033172436550.0%11.5%93.8%105.3LUCKY
6MooseCheckers 11100000064221.0006101600113131113613025926134323923100.00%220.00%023349347.26%28258248.45%16735547.04%56623861033172436575.0%16.7%87.5%104.2FUN
7MooseWild2200000063341.0006101601113131114213025926134351223374125.00%4175.00%023349347.26%28258248.45%16735547.04%56623861033172436571.4%14.3%91.4%105.7LUCKY
8MooseRocket2100010043130.75047110011313111331302592613427515292150.00%50100.00%023349347.26%28258248.45%16735547.04%56623861033172436550.0%12.1%88.9%101.0FUN
9MooseAdmirals21000001106430.75010162600113131115513025926134642124385240.00%7357.14%023349347.26%28258248.45%16735547.04%56623861033172436572.7%18.2%90.6%108.8FUN
10MooseWolf Pack2100000144030.7504812001131311147130259261347720841500.00%4250.00%023349347.26%28258248.45%16735547.04%56623861033172436566.7%8.5%94.8%103.3DULL
11MooseBelleville Senators1010000023-100.000235001131311129130259261342974127114.29%2150.00%023349347.26%28258248.45%16735547.04%56623861033172436533.3%6.9%89.7%96.6Unlucky
12MoosePhantoms2020000014-300.000112101131311133130259261342515428200.00%20100.00%023349347.26%28258248.45%16735547.04%56623861033172436520.0%3.0%84.0%87.0Unlucky
13Moose Penguins2010000136-310.25034700113131113113025926134542527273133.33%6183.33%023349347.26%28258248.45%16735547.04%56623861033172436528.6%9.7%88.9%98.6FUN
14MooseBarracuda1000010012-110.5001230011313111111302592613411571711100.00%10100.00%023349347.26%28258248.45%16735547.04%5662386103317243650.0%9.1%81.8%90.9FUN
15MooseThunderbirds1010000024-200.000235001131311113130259261343812819100.00%40100.00%023349347.26%28258248.45%16735547.04%56623861033172436533.3%15.4%89.5%104.9FUN
16MooseHershey Bears2000001155030.7505813001131311128130259261343620840400.00%4175.00%023349347.26%28258248.45%16735547.04%56623861033172436555.6%17.9%86.1%104.0FUN
17MooseSilver Knights2110000067-120.5006101600113131115713025926134341215527228.57%5340.00%023349347.26%28258248.45%16735547.04%56623861033172436550.0%10.5%79.4%89.9FUN
_Vs Division4760001110100172.125101828001131311194130259261346123368213538.46%8362.50%023349347.26%28258248.45%16735547.04%56623861033172436541.7%10.6%83.6%94.2FUN
_Vs Conference17860011148480200.5884878126121131311140013025926134443148150306361233.33%451175.56%023349347.26%28258248.45%16735547.04%56623861033172436549.3%12.0%89.2%101.2FUN
_Since Last GM Reset311110003347680-4350.56576123199221131311165713025926134750247237534621524.19%762073.68%123349347.26%28258248.45%16735547.04%56623861033172436550.4%11.6%89.3%100.9FUN
Total311110003347680-4350.56576123199221131311165713025926134750247237534621524.19%762073.68%123349347.26%28258248.45%16735547.04%56623861033172436550.4%11.6%89.3%100.9FUN

Puck Time
Offensive Zone 18
Neutral Zone 23
Defensive Zone 19
Puck Time
Offensive Zone Start 493
Neutral Zone Start 355
Defensive Zone Start 582
Puck Time
With Puck 30
Without Puck 31
Faceoffs
Faceoffs Won 682
Faceoffs Lost 748
Team Average Shots after League Average Shots after
1st Period 4.29.57
2nd Period 12.520.31
3rd Period 21.030.68
Overtime 22.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.41.65
3rd Period 2.42.67
Overtime 2.72.83
Even Strenght Goal 58
PP Goal 15
PK Goal 1
Empty Net Goal 2
Home Away
Win 77
Lost 28
Overtime Lost 61
PP Attempt 62
PP Goal 15
PK Attempt 76
PK Goal Against 20
Home
Shots For 21.2
Shots Against 24.2
Goals For 2.5
Goals Against 2.6
Hits 17.2
Shots Blocked 8.0
Pim 7.6
Schedule
DateMatchup Result Detail
Thu, Oct 9MooseWPG@MooseDETWPG1,DET6RECAP
Sat, Oct 11MooseCHI@MooseWPGCHI1,WPG2RECAP
Mon, Oct 13MooseDET@MooseWPGDET4,WPG5 (SO)RECAP
Wed, Oct 15MooseWPG@MooseFLOWPG6,FLO4RECAP
Fri, Oct 17MooseCHI@MooseWPGCHI2,WPG3RECAP
Sun, Oct 19MooseWPG@MooseCHIWPG3,CHI5RECAP
Mon, Oct 20MooseWPG@MooseNASWPG8,NAS3RECAP
Thu, Oct 23MooseNYR@MooseWPGNYR3,WPG2 (SO)RECAP
Fri, Oct 24MooseWPG@MooseDETWPG2,DET4RECAP
Sun, Oct 26MooseDAL@MooseWPGDAL1,WPG4RECAP
Wed, Oct 29MooseWPG@MooseCHIWPG2,CHI5RECAP
Fri, Oct 31MooseWPG@MooseCLBWPG2,CLB1 (SO)RECAP
Sat, Nov 1MooseSTL@MooseWPGSTL4,WPG2RECAP
Mon, Nov 3MooseMIN@MooseWPGMIN3,WPG4RECAP
Thu, Nov 6MooseWPG@MooseNYRWPG2,NYR1RECAP
Fri, Nov 7MooseNAS@MooseWPGNAS3,WPG2 (SO)RECAP
Sat, Nov 8MooseWPG@MooseMINWPG2,MIN0RECAP
Tue, Nov 11MooseDAL@MooseWPGDAL0,WPG2RECAP
Thu, Nov 13MooseWPG@MooseOTTWPG2,OTT3RECAP
Sat, Nov 15MooseMTL@MooseWPGMTL2,WPG1 (OT)RECAP
Mon, Nov 17MooseWPG@MooseMTLWPG3,MTL1RECAP
Tue, Nov 18MooseEDM@MooseWPGEDM1,WPG3RECAP
Fri, Nov 21MooseWPG@MoosePITWPG1,PIT3RECAP
Sat, Nov 22MooseWPG@MooseCLBWPG1,CLB2 (OT)RECAP
Mon, Nov 24MoosePIT@MooseWPGPIT3,WPG2 (SO)RECAP
Wed, Nov 26MooseWPG@MooseWASWPG3,WAS2 (SO)RECAP
Fri, Nov 28MoosePHI@MooseWPGPHI2,WPG1RECAP
Sun, Nov 30MooseWPG@MooseCHIWPG2,CHI4RECAP
Tue, Dec 2MooseS J@MooseWPGS J2,WPG1 (OT)RECAP
Thu, Dec 4MooseWAS@MooseWPGWAS3,WPG2 (SO)RECAP
Sun, Dec 7MooseWPG@MoosePHIWPG0,PHI2RECAP
Tue, Dec 9MooseCHI@MooseWPG
Thu, Dec 11MooseWPG@MooseDET
Fri, Dec 12MooseWPG@MooseBOS
Sun, Dec 14MooseBUF@MooseWPG
Wed, Dec 17MooseCHI@MooseWPG
Fri, Dec 19MooseWPG@MooseMIN
Sun, Dec 21MooseVAN@MooseWPG
Wed, Dec 24MooseWPG@MooseTAM
Fri, Dec 26MooseCAL@MooseWPG
Sun, Dec 28MooseWPG@MooseLOS
Tue, Dec 30MooseWPG@MooseCHI
Wed, Dec 31MooseANA@MooseWPG
Sat, Jan 3MooseCOL@MooseWPG
Mon, Jan 5MooseWPG@MooseNYI
Wed, Jan 7MooseWPG@MooseNAS
Fri, Jan 9MooseTAM@MooseWPG
Sun, Jan 11MooseWPG@MooseTOR
Mon, Jan 12MooseWPG@MooseCAR
Tue, Jan 13MooseNJD@MooseWPG
Fri, Jan 16MooseFLO@MooseWPG
Mon, Jan 19MooseWPG@MooseSEA
Tue, Jan 20MooseBOS@MooseWPG
Fri, Jan 23MooseNAS@MooseWPG
Sun, Jan 25MooseWPG@MooseANA
Mon, Jan 26MooseWPG@MooseCOL
Wed, Jan 28MooseCLB@MooseWPG
Fri, Jan 30MooseOTT@MooseWPG
Sun, Feb 1MooseWPG@MooseFLO
Tue, Feb 3MooseWPG@MooseS J
Thu, Feb 5MooseNYR@MooseWPG
Sun, Feb 8MooseSTL@MooseWPG
Tue, Feb 10MooseWPG@MooseVAN
Thu, Feb 12MooseWPG@MooseBUF
Fri, Feb 13MooseLOS@MooseWPG
Mon, Feb 16MooseWPG@MooseCAL
Tue, Feb 17MooseTOR@MooseWPG
Thu, Feb 19MooseWPG@MooseEDM
Sat, Feb 21MooseS J@MooseWPG
Tue, Feb 24MooseNJD@MooseWPG
Thu, Feb 26MooseNYI@MooseWPG
Fri, Feb 27MooseWPG@MoosePHO
Tue, Mar 3MoosePHO@MooseWPG
Fri, Mar 6MooseDET@MooseWPG
Mon, Mar 9MooseWPG@MooseNJD
Trade Deadline --- Trades can’t be done after this day is simulated!
Wed, Mar 11MooseCAR@MooseWPG
Thu, Mar 12MooseWPG@MooseDAL
Sun, Mar 15MooseMIN@MooseWPG
Mon, Mar 16MooseWPG@MooseSTL
Sat, Mar 21MooseSEA@MooseWPG
Sun, Mar 22MooseWPG@MooseDAL
Tue, Mar 24MooseWPG@MooseSTL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,825,000$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityManitoba
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
Attendance00
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
26 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,825,000$ 3,825,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,557,118$ 0$ 1,376,619$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 131 25,592$ 2,763,936$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,763,936$ 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

Hershey Bears15-11-5, 35pts32Final
Moose14-10-7, 35pts

Moose14-10-7, 35pts02Final
Phantoms17-12-1, 35pts

Moose14-10-7, 35ptsMon, Dec 08
Phantoms17-12-1, 35pts

IceHogs24-5-1, 49ptsSun, Oct 12
Moose14-10-7, 35pts

Griffins16-8-7, 39ptsTue, Oct 14
Moose14-10-7, 35pts

TRANSACTIONS



 

Team Info

Moose
Head CoachRyan Huska
DivisionCentral Division
CityManitoba
Stadium Capacity3,000

Moose Affiliation

Moose
General ManagerEric Brady
Head CoachPatrick Roy
StadiumMTS Centre
Capacity18,545

Team Leaders


GOALS
Klim Kostin
MooseMoose
18
GOALS
POINTS
Klim Kostin
MooseMoose
31
POINTS
WINS
Devin Cooley
MooseMoose
11
WINS
Expanded Player Leaderboard

Team Stats


Goals For
76
2.45 GFG
Goals Against
80
2.58 GAA
Power Play Percentage
24.2%
15 GF
Penalty Kill Percentage
73.7%
20 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain