MooseManitoba Moose
20-18-10, 50pts · 9th 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/RW100.0079626770918178704966656668736315068262,500,000$/3yrs
Colton Dach0C100.007444737177746366506361656651501506422975,000$/2yrs
Aydar Suniev (R)0LW100.005640696775765962405959596351501506020923,333$/2yrs
Sammy Walker0C/LW/RW100.005443717054686663446457576354501506026855,000$/1yrs
Lleyton Roed0LW100.0065416861686261614258576159505015059221,000,000$/3yrs
Josh Dunne0C100.0065446662696664615758546059545015059261,100,000$/1yrs
Yegor Sidorov (R)0RW100.005541686260616062426058546150501505821865,000$/2yrs
Josiah Slavin0LW100.0058427063646866614356555460545015058261,200,000$/4yrs
Aidan McDonough0LW100.006141716567656160425356596053501505825975,000$/4yrs
Philippe Myers0D100.007047727080797368406261716669611506828975,000$/2yrs
Simon Nemec0D100.005945777679826871406665707156501506821975,000$/1yrs
Jimmy Schuldt0D100.0064456866647170644061577062635715064301,500,000$/3yrs
Samuel Bolduc0D100.0058407664787165674064615964575015063241,125,000$/4yrs
Matt Kiersted0D100.0064446669637067644062546962605015063271,000,000$/4yrs
Connor Mackey0D100.0060595566657168634059576762605015062281,750,000$/1yrs
Ben Gleason0D100.0057437067626664624061566362555015061271,425,000$/3yrs
Akito Hirose0D100.005541707060676259405454646053501506026975,000$/1yrs
Isaac Belliveau (R)0D100.006141676262605857405454645850501505922875,000$/1yrs
Scratches
Matthew Seminoff0RW100.006142706562626058415552585950501505721975,000$/2yrs
Massimo Rizzo (R)0C100.005741686258626158415755575851501505724925,000$/1yrs
Luke Haymes0C100.0061406661625856564854545757505015056211,000,000$/3yrs
Tag Bertuzzi0C/LW/RW100.0061406560646158524051515354525015054241,000,000$/3yrs
Jesse Pulkkinen (R)0D100.006240665966555355405453595650501505720880,833$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Devin Cooley098.00746769657069716770716357511506328975,000$/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/RW48222547-9653594150449314.67%3124.6951015000826148.33%210.98490.69
2Simon NemecMooseMoose (WPG)D4882937-623156010847527.41%7328.044913000100110.00%000.77110.66
3Aydar SunievMooseMoose (WPG)LW48141024-8431574100206814.00%1422.27459000822236.29%000.50390.35
4Sammy WalkerMooseMoose (WPG)C/LW/RW48101424-2405590215211.11%1318.31459011271044.07%000.50390.50
5Josh DunneMooseMoose (WPG)C4811112221407356194019.64%1219.42145000432148.40%000.46020.41
6Yegor SidorovMooseMoose (WPG)RW4871320-180538615498.14%1417.9004400001036.11%000.42000.43
7Lleyton RoedMooseMoose (WPG)LW4881018-3140664092720.00%818.21437101550131.25%000.38240.28
8Josiah SlavinMooseMoose (WPG)LW4889171607948164016.67%1817.39000000121051.43%000.35000.37
9Jimmy SchuldtMooseMoose (WPG)D4821416-2395545215223.85%5826.022240008201100.00%000.33000.20
10Colton DachMooseMoose (WPG)C478614-61805448214016.67%1517.47011000212047.06%000.30000.22
11Connor MackeyMooseMoose (WPG)D48246-6501053398125.13%3320.6320201144000.00%000.1301-0.05
12Akito HiroseMooseMoose (WPG)D48055-11552011580.00%1116.3200000033000.00%000.10000.03
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
15Ben GleasonMooseMoose (WPG)D42033140232011130.00%2620.43000000500050.00%000.07000.10
16Isaac BelliveauMooseMoose (WPG)D40022-140136340.00%89.71000000900100.00%000.05000.03
17Jesse PulkkinenMooseMoose (WPG)D802252071100.00%413.650000001000.00%000.25000.37
18Massimo RizzoMooseMoose (WPG)C802220066110.00%07.3700000000037.50%000.25000.31
19Aidan McDonoughMooseMoose (WPG)LW48112-86038154116.67%29.7300000001025.00%000.0400-0.01
20Philippe MyersMooseMoose (WPG)D40011-42057650.00%25.6300000070025.00%000.0300-0.01
21Matthew SeminoffMooseMoose (WPG)RW7000-10021000.00%06.4700000000060.00%000.0000-0.05
22Samuel BolducMooseMoose (WPG)D4000010050020.00%32.010000001000.00%000.00000.02
23Matt KierstedMooseMoose (WPG)D40000-10010000.00%00.850000000000.00%000.0000-0.01
Team Total or Average864103167270-463309086190227055211.42%35316.6426447075112366517746.86%2119193265210.381335
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)42171590.9012.1125340689895459030.57726426413
2Adam ScheelMooseMoose (WPG)73310.8763.35394002217796100.6005623001
Team Total or Average492018100.8962.272929061111072555130.581314829414
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$1,100,000$ UFA
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
1MooseGulls1000010012-110.50011200134446121218135235547721017100.00%000.00%035672549.10%39583547.31%24252346.27%861344921517114957933.3%8.3%71.4%79.8Unlucky
2MooseBruins1010000014-300.000123001344461210181352355473211924300.00%20100.00%035672549.10%39583547.31%24252346.27%861344921517114957920.0%10.0%87.5%97.5FUN
3MooseAmericans1100000020221.0002350113444612161813523554783616300.00%30100.00%035672549.10%39583547.31%24252346.27%8613449215171149579100.0%12.5%100.0%112.5LUCKY
4MooseHeat1010000012-100.00012300134446121318135235547124614100.00%30100.00%035672549.10%39583547.31%24252346.27%861344921517114957933.3%7.7%83.3%91.0Unlucky
5MooseIceHogs413000001016-620.2501015251013444612109181352355471484524719333.33%13376.92%035672549.10%39583547.31%24252346.27%861344921517114957935.0%9.2%89.2%98.4FUN
6MooseEagles1010000014-300.00011200134446121718135235547316221200.00%10100.00%035672549.10%39583547.31%24252346.27%861344921517114957920.0%5.9%87.1%93.0Unlucky
7MooseMonsters2000011033030.750347001344461220181352355472741228200.00%6266.67%135672549.10%39583547.31%24252346.27%861344921517114957975.0%15.0%88.9%103.9FUN
8MooseStars2200000061541.0006915011344461236181352355471886283133.33%30100.00%035672549.10%39583547.31%24252346.27%861344921517114957983.3%16.7%94.4%111.1LUCKY
9MooseGriffins40200011916-730.375913220013444612102181352355471564847686233.33%16475.00%035672549.10%39583547.31%24252346.27%861344921517114957936.8%8.8%89.7%98.6Unlucky
10MooseCondors1100000031221.0003690013444612261813523554716614135240.00%20100.00%035672549.10%39583547.31%24252346.27%861344921517114957950.0%11.5%93.8%105.3LUCKY
11MooseCheckers 11100000064221.0006101600134446123618135235547323923100.00%220.00%035672549.10%39583547.31%24252346.27%861344921517114957975.0%16.7%87.5%104.2FUN
12MooseReign1100000021121.0002350013444612131813523554715542122100.00%20100.00%035672549.10%39583547.31%24252346.27%86134492151711495790.0%15.4%93.3%108.7LUCKY
13MooseWild3300000073461.0007111802134446124918135235547441528584125.00%4175.00%035672549.10%39583547.31%24252346.27%861344921517114957975.0%14.3%93.2%107.5LUCKY
14MooseRocket2100010043130.75047110013444612331813523554727515292150.00%50100.00%035672549.10%39583547.31%24252346.27%861344921517114957950.0%12.1%88.9%101.0FUN
15MooseAdmirals32000001126650.83312193101134446126818135235547743126627228.57%8362.50%035672549.10%39583547.31%24252346.27%861344921517114957976.9%17.6%91.9%109.5LUCKY
16MooseIslanders1000000134-110.500369001344461222181352355472374173266.67%20100.00%035672549.10%39583547.31%24252346.27%861344921517114957920.0%13.6%82.6%96.2FUN
17MooseWolf Pack2100000144030.7504812001344461247181352355477720841500.00%4250.00%035672549.10%39583547.31%24252346.27%861344921517114957966.7%8.5%94.8%103.3DULL
18MooseBelleville Senators1010000023-100.000235001344461229181352355472974127114.29%2150.00%035672549.10%39583547.31%24252346.27%861344921517114957933.3%6.9%89.7%96.6Unlucky
19MoosePhantoms2020000014-300.000112101344461233181352355472515428200.00%20100.00%035672549.10%39583547.31%24252346.27%861344921517114957920.0%3.0%84.0%87.0Unlucky
20Moose Penguins2010000136-310.25034700134446123118135235547542527273133.33%6183.33%035672549.10%39583547.31%24252346.27%861344921517114957928.6%9.7%88.9%98.6FUN
21MooseBarracuda1000010012-110.5001230013444612111813523554711571711100.00%10100.00%035672549.10%39583547.31%24252346.27%86134492151711495790.0%9.1%81.8%90.9FUN
22MooseThunderbirds1010000024-200.000235001344461213181352355473812819100.00%40100.00%035672549.10%39583547.31%24252346.27%861344921517114957933.3%15.4%89.5%104.9FUN
23MooseCrunch2200000062441.00068140113444612201813523554730172385240.00%10100.00%035672549.10%39583547.31%24252346.27%861344921517114957966.7%30.0%93.3%123.3LUCKY
24MooseMarlies1010000035-200.0003580013444612271813523554739811222150.00%30100.00%035672549.10%39583547.31%24252346.27%861344921517114957928.6%11.1%87.2%98.3FUN
25MooseCanucks1010000002-200.0000000013444612618135235547197412200.00%2150.00%035672549.10%39583547.31%24252346.27%86134492151711495790.0%0.0%89.5%89.5Unlucky
26MooseHershey Bears2000001155030.7505813001344461228181352355473620840400.00%4175.00%035672549.10%39583547.31%24252346.27%861344921517114957955.6%17.9%86.1%104.0FUN
27MooseSilver Knights41300000813-520.25081321101344461275181352355474714259511436.36%10640.00%035672549.10%39583547.31%24252346.27%861344921517114957936.4%10.7%72.3%83.0FUN
_Vs Division1099000121623-7221.100162743101344461215618135235547127437018923939.13%20765.00%035672549.10%39583547.31%24252346.27%861344921517114957930.4%10.3%81.9%92.1FUN
_Vs Conference271111002126371-8280.5196398161241344461254418135235547617201207504531833.96%671774.63%035672549.10%39583547.31%24252346.27%861344921517114957945.5%11.6%88.5%100.1FUN
_Since Last GM Reset48171800436106120-14500.5211061672733613444612902181352355471075353330861972626.80%1112775.68%135672549.10%39583547.31%24252346.27%861344921517114957946.2%11.8%88.8%100.6FUN
Total48171800436106120-14500.5211061672733613444612902181352355471075353330861972626.80%1112775.68%135672549.10%39583547.31%24252346.27%861344921517114957946.2%11.8%88.8%100.6FUN

Puck Time
Offensive Zone 17
Neutral Zone 23
Defensive Zone 19
Puck Time
Offensive Zone Start 725
Neutral Zone Start 523
Defensive Zone Start 835
Puck Time
With Puck 30
Without Puck 31
Faceoffs
Faceoffs Won 993
Faceoffs Lost 1090
Team Average Shots after League Average Shots after
1st Period 3.89.57
2nd Period 11.120.31
3rd Period 18.530.68
Overtime 19.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 1.21.65
3rd Period 2.12.67
Overtime 2.42.83
Even Strenght Goal 76
PP Goal 26
PK Goal 1
Empty Net Goal 3
Home Away
Win 911
Lost 711
Overtime Lost 73
PP Attempt 97
PP Goal 26
PK Attempt 111
PK Goal Against 27
Home
Shots For 18.8
Shots Against 22.4
Goals For 2.2
Goals Against 2.5
Hits 17.9
Shots Blocked 7.4
Pim 6.9
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@MooseWPGCHI6,WPG4RECAP
Thu, Dec 11MooseWPG@MooseDETWPG1,DET2 (SO)RECAP
Fri, Dec 12MooseWPG@MooseBOSWPG1,BOS4RECAP
Sun, Dec 14MooseBUF@MooseWPGBUF0,WPG2RECAP
Wed, Dec 17MooseCHI@MooseWPGCHI4,WPG2RECAP
Fri, Dec 19MooseWPG@MooseMINWPG1,MIN0RECAP
Sun, Dec 21MooseVAN@MooseWPGVAN2,WPG0RECAP
Wed, Dec 24MooseWPG@MooseTAMWPG4,TAM2RECAP
Fri, Dec 26MooseCAL@MooseWPGCAL2,WPG1RECAP
Sun, Dec 28MooseWPG@MooseLOSWPG2,LOS1RECAP
Tue, Dec 30MooseWPG@MooseCHIWPG0,CHI2RECAP
Wed, Dec 31MooseANA@MooseWPGANA2,WPG1 (OT)RECAP
Sat, Jan 3MooseCOL@MooseWPGCOL4,WPG1RECAP
Mon, Jan 5MooseWPG@MooseNYIWPG3,NYI4 (SO)RECAP
Wed, Jan 7MooseWPG@MooseNASWPG2,NAS0RECAP
Fri, Jan 9MooseTAM@MooseWPGTAM0,WPG2RECAP
Sun, Jan 11MooseWPG@MooseTORWPG3,TOR5RECAP
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
18 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
2,452,838$ 0$ 2,168,774$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 96 25,592$ 1,868,216$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
1,868,216$ 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

Crunch22-19-5, 49pts02Final
Moose20-18-10, 50pts

Moose20-18-10, 50pts35Final
Marlies34-9-3, 71pts

Moose20-18-10, 50ptsMon, Jan 12
Marlies34-9-3, 71pts

IceHogs39-6-2, 80ptsSun, Oct 12
Moose20-18-10, 50pts

Griffins31-9-7, 69ptsTue, Oct 14
Moose20-18-10, 50pts

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
22
GOALS
POINTS
Klim Kostin
MooseMoose
47
POINTS
WINS
Devin Cooley
MooseMoose
17
WINS
Expanded Player Leaderboard

Team Stats


Goals For
106
2.21 GFG
Goals Against
120
2.50 GAA
Power Play Percentage
26.8%
26 GF
Penalty Kill Percentage
75.7%
27 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain