MooseManitoba Moose
7-6-1, 15pts · 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/RW100.0072526363837470624660575960756215062272,500,000$/2yrs
Matthew Seminoff0RW100.006242726963656363435958636450501506122975,000$/1yrs
Lleyton Roed0LW100.0065417268646462634361566562515015061231,000,000$/2yrs
Aidan McDonough0LW100.006442716865666463435859646354501506126975,000$/3yrs
Aydar Suniev0LW/RW100.005741736473706163415659546250501505921923,333$/1yrs
Josiah Slavin0LW100.0059427164646967614259545859555115059271,200,000$/3yrs
Luke Haymes0C100.0061417063656159605856565560505015057221,000,000$/2yrs
Massimo Rizzo0C100.0056407063606259554153525356525015055251,000,000$/2yrs
Tag Bertuzzi0C/LW/RW100.0060406859656259524050505254535015054251,000,000$/2yrs
Jimmy Schuldt0D100.0058456561637372644060546060655815061311,500,000$/2yrs
Jesse Pulkkinen0D100.006540695971575455405251605550501505821880,833$/1yrs
Scratches
Adam Klapka0RW100.0089716170927974725069667170595015069252,750,000$/4yrs
Josh Dunne0C/LW100.0068556367787470657161596464675915064271,050,000$/4yrs
Jared Wright (R)0LW/RW100.0065407771727761634060566263535015062231,100,000$/4yrs
Sammy Walker0C/LW/RW100.0053427267586967644361565362555015059271,000,000$/4yrs
Tyler Angle (R)0RW100.0056416867556361584158526258525015058251,000,000$/4yrs
Evan Vierling (R)0C/LW/RW100.0052417162576462604257555159515015056241,050,000$/4yrs
Samuel Bolduc0D100.0063417464746865664063596563535015063251,125,000$/3yrs
Matt Kiersted0D100.0059446668616967634057546661575115062281,000,000$/3yrs
Connor Mackey0D100.0056565665637068644059556261595215061291,125,000$/4yrs
Ben Gleason0D100.0054427166626966624061536061575015060281,425,000$/2yrs
Quinton Burns (R)0D100.0062556064656060604060606260505015060211,000,000$/4yrs
Isaac Belliveau0D100.0059436564646158564051526157515015058231,000,000$/4yrs
Akito Hirose0D100.0052416263535956534051525855545015055271,000,000$/4yrs
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
Scratches
Adam Scheel0100.007262616567687168696755545015062271,000,000$/1yrs
Gabriel Carriere0100.007163656367676966686856535015061251,000,000$/2yrs
Eetu Makiniemi0100.00695957636363646164635254501505827975,000$/3yrs
Filip Larsson0100.006659586362616258636254555015057271,000,000$/2yrs
Luke Cavallin0100.006556556562616260636152535015056251,000,000$/2yrs
Michael Simpson0100.006358576361606158626055505015056231,000,000$/2yrs
William Rousseau0100.006456556361616362615953515015056231,000,000$/2yrs
Callum Tung0100.006356556661606157615951505015055221,000,000$/2yrs
Mitchell Weeks0100.006558596562585955586252535015055251,000,000$/2yrs
Vyacheslav Buteyets0100.006155556559555450565850525015052241,000,000$/2yrs
T.J. Semptimphelter0100.006055556357535250525750525015051241,000,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Huska8684788378691CAN502500,000$
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
1Josh DunneMooseMoose (WPG)C/LW144711-595263581511.43%822.47011000220049.65%000.79110.56
2Adam KlapkaMooseMoose (WPG)RW144711-52010193493111.76%320.5701100000044.64%000.79010.40
3Klim KostinMooseMoose (WPG)C/LW/RW141910-111518178225.88%721.92055000200041.20%000.71000.43
4Jared WrightMooseMoose (WPG)LW/RW14459-65518227718.18%322.43112000210027.27%000.64110.38
5Matthew SeminoffMooseMoose (WPG)RW14448120122181519.05%819.28213000181033.33%000.57000.56
6Lleyton RoedMooseMoose (WPG)LW14336200262882110.71%420.5021300060039.13%000.43000.56
7Aidan McDonoughMooseMoose (WPG)LW14325095231872016.67%518.2400000002043.75%000.36000.32
8Sammy WalkerMooseMoose (WPG)C/LW/RW1422422012143514.29%512.2010100021154.55%000.29000.34
9Connor MackeyMooseMoose (WPG)D14033-21610118250.00%1416.350000007000.00%000.2100-0.01
10Matt KierstedMooseMoose (WPG)D14303218109198515.79%1622.7110100019200.00%000.21000.16
11Jimmy SchuldtMooseMoose (WPG)D14112-5601743925.00%2123.9300000021010.00%000.14000.01
12Ben GleasonMooseMoose (WPG)D14011-40077340.00%1415.000000001500100.00%000.07000.04
13Aydar SunievMooseMoose (WPG)LW/RW14011-30074420.00%113.8500000020033.33%000.0700-0.01
14Quinton BurnsMooseMoose (WPG)D14011-34022000.00%512.810000001000.00%000.0700-0.06
15Samuel BolducMooseMoose (WPG)D14011218101212770.00%1623.2900000024000.00%000.07000.00
16Isaac BelliveauMooseMoose (WPG)D1400012030000.00%02.430000004000.00%000.00000.00
17Jesse PulkkinenMooseMoose (WPG)D14000-20030000.00%48.200000000000.00%000.0000-0.04
18Josiah SlavinMooseMoose (WPG)LW1400000000100.00%12.180000000000.00%000.00000.00
Team Total or Average252294776-26122602252458616811.84%13516.58710171730001876243.69%6505783000.3623
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
1Adam ScheelMooseMoose (WPG)147610.8952.627802134323171001.0003140300
2Gabriel CarriereMooseMoose (WPG)20000.9203.58670045024000.0000014000
Team Total or Average167610.8982.698482138373195001.00031414300
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Adam Klapka RW252,750,000$2,750,000$ 2,750,000$ 2,750,000$ 2,750,000$ UFA
Adam Scheel G271,000,000$1,000,000$ UFA
Aidan McDonough LW26975,000$975,000$ 975,000$ 975,000$ UFA
Akito Hirose D271,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Aydar Suniev LW/RW21923,333$975,000$ RFA
Ben Gleason D281,425,000$1,425,000$ 1,425,000$ UFA
Callum Tung G221,000,000$1,000,000$ 1,000,000$ RFA
Connor Mackey D291,125,000$1,125,000$ 1,125,000$ 1,125,000$ 1,125,000$ UFA
Eetu Makiniemi G27975,000$975,000$ 975,000$ 975,000$ UFA
Evan Vierling C/LW/RW241,050,000$1,050,000$ 1,050,000$ 1,050,000$ 1,050,000$ UFA
Filip Larsson G271,000,000$1,000,000$ 1,000,000$ UFA
Gabriel Carriere G251,000,000$1,000,000$ 1,000,000$ RFA
Isaac Belliveau D231,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Jared Wright LW/RW231,100,000$1,100,000$ 1,100,000$ 1,100,000$ 1,100,000$ RFA
Jesse Pulkkinen D21880,833$975,000$ RFA
Jimmy Schuldt D311,500,000$1,500,000$ 1,500,000$ UFA
Josh Dunne C/LW271,050,000$1,050,000$ 1,050,000$ 1,050,000$ 1,050,000$ UFA
Josiah Slavin LW271,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Klim Kostin C/LW/RW272,500,000$2,500,000$ 2,500,000$ UFA
Lleyton Roed LW231,000,000$1,000,000$ 1,000,000$ RFA
Luke Cavallin G251,000,000$1,000,000$ 1,000,000$ RFA
Luke Haymes C221,000,000$1,000,000$ 1,000,000$ RFA
Massimo Rizzo C251,000,000$1,000,000$ 1,000,000$ RFA
Matt Kiersted D281,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Matthew Seminoff RW22975,000$975,000$ RFA
Michael Simpson G231,000,000$1,000,000$ 1,000,000$ RFA
Mitchell Weeks G251,000,000$1,000,000$ 1,000,000$ RFA
Quinton Burns D211,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Sammy Walker C/LW/RW271,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Samuel Bolduc D251,125,000$1,125,000$ 1,125,000$ 1,125,000$ UFA
T.J. Semptimphelter G241,000,000$1,000,000$ 1,000,000$ RFA
Tag Bertuzzi C/LW/RW251,000,000$1,000,000$ 1,000,000$ RFA
Tyler Angle RW251,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Vyacheslav Buteyets G241,000,000$1,000,000$ 1,000,000$ RFA
William Rousseau G231,000,000$1,000,000$ 1,000,000$ RFA

Lines
Forward Lines


# - Lleyton Roed


# - Klim Kostin


# - Massimo Rizzo


# - Aidan McDonough


# - Matthew Seminoff


# - Aydar Suniev


# - Luke Haymes

Defensive Pairings


# - Jimmy Schuldt

1st Power Play Unit
2nd Power Play Unit


# - Lleyton Roed


# - Klim Kostin


# - Massimo Rizzo


# - Jimmy Schuldt

Goalies
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
1MooseBruins1010000017-600.0001230039162163498112346242414000.00%220.00%09621844.04%11326842.16%7515847.47%2429327814432717016.7%6.3%84.8%91.0Unlucky
2MooseEagles2110000045-120.5004590039162393498112332131737200.00%6266.67%09621844.04%11326842.16%7515847.47%2429327814432717057.1%10.3%84.4%94.6FUN
3MooseMonsters1010000015-400.00011200391622634981123248218000.00%110.00%09621844.04%11326842.16%7515847.47%2429327814432717020.0%3.8%79.2%83.0Unlucky
4MooseGriffins1010000036-300.000369003916222349811234312214300.00%10100.00%09621844.04%11326842.16%7515847.47%2429327814432717033.3%13.6%86.0%99.7FUN
5MooseWild2100100041341.00047110139162273498112334148296116.67%40100.00%09621844.04%11326842.16%7515847.47%2429327814432717075.0%14.8%97.1%111.9LUCKY
6MooseAdmirals2200000092741.00091625003916235349811234013152933100.00%5180.00%09621844.04%11326842.16%7515847.47%2429327814432717085.7%25.7%95.0%120.7LUCKY
7MooseIslanders1010000002-200.00000000391621534981123268421200.00%2150.00%09621844.04%11326842.16%7515847.47%242932781443271700.0%0.0%92.3%92.3DULL
8MoosePhantoms1000010001-110.500000003916214349811231341017200.00%000.00%09621844.04%11326842.16%7515847.47%242932781443271700.0%0.0%92.3%92.3DULL
9MooseHershey Bears1010000026-400.0002350039162173498112342142314000.00%4250.00%09621844.04%11326842.16%7515847.47%2429327814432717033.3%11.8%85.7%97.5FUN
10MooseSilver Knights2100001063341.000671300391623434981123732519325360.00%7271.43%09621844.04%11326842.16%7515847.47%2429327814432717075.0%17.6%95.9%113.5LUCKY
_Vs Division24101010633123.000671300391623434981123732519325360.00%7271.43%09621844.04%11326842.16%7515847.47%2429327814432717075.0%17.6%95.9%113.5LUCKY
_Vs Conference9520101026179140.778264167013916215734981123222776114119736.84%23578.26%09621844.04%11326842.16%7515847.47%2429327814432717061.3%16.6%92.3%108.9LUCKY
_Since Last GM Reset1456011103038-8150.53630477701391622453498112337313512422523730.43%321165.63%09621844.04%11326842.16%7515847.47%2429327814432717046.0%12.2%89.8%102.1FUN
Total1456011103038-8150.53630477701391622453498112337313512422523730.43%321165.63%09621844.04%11326842.16%7515847.47%2429327814432717046.0%12.2%89.8%102.1FUN

Puck Time
Offensive Zone 17
Neutral Zone 23
Defensive Zone 19
Puck Time
Offensive Zone Start 218
Neutral Zone Start 158
Defensive Zone Start 268
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 284
Faceoffs Lost 360
Team Average Shots after League Average Shots after
1st Period 2.49.57
2nd Period 9.420.31
3rd Period 17.430.68
Overtime 17.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 0.91.65
3rd Period 2.02.67
Overtime 2.12.83
Even Strenght Goal 23
PP Goal 7
PK Goal 0
Empty Net Goal 0
Home Away
Win 34
Lost 33
Overtime Lost 10
PP Attempt 23
PP Goal 7
PK Attempt 32
PK Goal Against 11
Home
Shots For 17.5
Shots Against 26.6
Goals For 2.1
Goals Against 2.7
Hits 16.1
Shots Blocked 9.6
Pim 8.9
Schedule
DateMatchup Result Detail
Sun, Oct 11MooseMIN@MooseWPGMIN0,WPG2RECAP
Mon, Oct 12MooseWPG@MooseCOLWPG1,COL4RECAP
Wed, Oct 14MooseWPG@MooseDETWPG3,DET6RECAP
Fri, Oct 16MooseCHI@MooseWPGCHI2,WPG3 (SO)RECAP
Sun, Oct 18MooseWPG@MooseMINWPG2,MIN1 (OT)RECAP
Tue, Oct 20MooseNAS@MooseWPGNAS1,WPG3RECAP
Thu, Oct 22MooseNYI@MooseWPGNYI2,WPG0RECAP
Sat, Oct 24MooseWPG@MooseCHIWPG3,CHI1RECAP
Mon, Oct 26MooseCLB@MooseWPGCLB5,WPG1RECAP
Thu, Oct 29MooseWPG@MooseCOLWPG3,COL1RECAP
Fri, Oct 30MooseWPG@MooseNASWPG6,NAS1RECAP
Sun, Nov 1MooseBOS@MooseWPGBOS7,WPG1RECAP
Tue, Nov 3MooseWPG@MooseWASWPG2,WAS6RECAP
Thu, Nov 5MoosePHI@MooseWPGPHI1,WPG0 (OT)RECAP
Sat, Nov 7MooseCHI@MooseWPG
Mon, Nov 9MooseWPG@MooseBOS
Thu, Nov 12MooseSTL@MooseWPG
Fri, Nov 13MooseWPG@MooseBUF
Sun, Nov 15MooseWPG@MooseEDM
Tue, Nov 17MooseWPG@MooseTOR
Thu, Nov 19MooseBOS@MooseWPG
Sat, Nov 21MooseCLB@MooseWPG
Mon, Nov 23MooseWPG@MooseCLB
Wed, Nov 25MooseWPG@MoosePHO
Thu, Nov 26MooseCAR@MooseWPG
Sun, Nov 29MooseS J@MooseWPG
Mon, Nov 30MooseWPG@MooseLOS
Wed, Dec 2MooseCAL@MooseWPG
Fri, Dec 4MooseWPG@MooseCAR
Sun, Dec 6MooseCOL@MooseWPG
Mon, Dec 7MooseWPG@MooseNJD
Wed, Dec 9MooseWAS@MooseWPG
Fri, Dec 11MooseWPG@MooseCAL
Sun, Dec 13MooseWPG@MooseCOL
Mon, Dec 14MooseANA@MooseWPG
Wed, Dec 16MooseWPG@MooseNYI
Fri, Dec 18MooseSEA@MooseWPG
Sun, Dec 20MooseWPG@MooseMIN
Tue, Dec 22MooseMIN@MooseWPG
Thu, Dec 24MooseNJD@MooseWPG
Sat, Dec 26MooseWPG@MooseOTT
Mon, Dec 28MooseWPG@MooseCAL
Tue, Dec 29MooseDET@MooseWPG
Thu, Dec 31MooseWPG@MooseTAM
Sat, Jan 2MooseWPG@MooseMTL
Sun, Jan 3MooseNYR@MooseWPG
Tue, Jan 5MooseWPG@MoosePIT
Thu, Jan 7MooseCHI@MooseWPG
Sat, Jan 9MooseWPG@MoosePHI
Sun, Jan 10MooseEDM@MooseWPG
Mon, Jan 11MooseWPG@MooseNAS
Wed, Jan 13MooseNAS@MooseWPG
Fri, Jan 15MooseWPG@MooseCHI
Sun, Jan 17MooseTOR@MooseWPG
Tue, Jan 19MooseSTL@MooseWPG
Thu, Jan 21MooseWPG@MooseSTL
Fri, Jan 22MooseWPG@MooseDET
Sun, Jan 24MooseOTT@MooseWPG
Mon, Jan 25MooseWPG@MooseFLO
Wed, Jan 27MooseCHI@MooseWPG
Fri, Jan 29MooseWPG@MooseCHI
Sat, Jan 30MooseDET@MooseWPG
Mon, Feb 1MooseWPG@MooseANA
Wed, Feb 3MooseTAM@MooseWPG
Thu, Feb 4MooseWPG@MooseNYR
Sat, Feb 6MooseSTL@MooseWPG
Mon, Feb 8MooseWPG@MooseDAL
Wed, Feb 10MooseDAL@MooseWPG
Thu, Feb 11MooseWPG@MooseDAL
Sun, Feb 14MooseVAN@MooseWPG
Tue, Feb 16MooseWPG@MooseDET
Wed, Feb 17MooseDAL@MooseWPG
Fri, Feb 19MooseWPG@MooseVAN
Sun, Feb 21MooseFLO@MooseWPG
Wed, Feb 24MooseWPG@MooseSEA
Thu, Feb 25MooseBUF@MooseWPG
Sat, Feb 27MooseWPG@MooseS J
Mon, Mar 1MooseMTL@MooseWPG
Thu, Mar 4MooseLOS@MooseWPG
Wed, Mar 10MoosePIT@MooseWPG
Thu, Mar 11MooseWPG@MooseCHI
Fri, Mar 12MooseWPG@MooseSTL
Mon, Mar 15MooseFLO@MooseWPG
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Mar 19MoosePHO@MooseWPG

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,970,000$ 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
35 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,970,000$ 3,970,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
749,530$ 0$ 666,184$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 158 27,593$ 3,725,055$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,725,055$ 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

Moose7-6-1, 15pts26Final
Hershey Bears13-1-0, 26pts

Phantoms4-8-2, 10pts10Final
Moose7-6-1, 15pts

Phantoms4-8-2, 10ptsFri, Nov 06
Moose7-6-1, 15pts

Moose7-6-1, 15ptsTue, Oct 13
Eagles6-5-3, 15pts

Moose7-6-1, 15ptsThu, Oct 15
Griffins10-4-0, 20pts

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
Matthew Seminoff
MooseMoose
4
GOALS
POINTS
Josh Dunne
MooseMoose
11
POINTS
WINS
Adam Scheel
MooseMoose
7
WINS
Expanded Player Leaderboard

Team Stats


Goals For
30
2.14 GFG
Goals Against
38
2.71 GAA
Power Play Percentage
30.4%
7 GF
Penalty Kill Percentage
65.6%
11 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain