MooseManitoba Moose
30-36-16, 76pts · 13th 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
Adam Klapka0RW100.007856636787726668486364676655501506524975,000$/1yrs
Colton Dach0C100.007444737177746366506361656651501506422975,000$/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$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Devin Cooley0100.00746769657069716770716357511506328975,000$/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
1Simon NemecMooseMoose (WPG)D82124355-25372511718285936.59%12728.2871219000153110.00%000.67110.54
2Sammy WalkerMooseMoose (WPG)C/LW/RW82183048-913599145359112.41%2719.7991120022633042.59%000.594150.51
3Aydar SunievMooseMoose (WPG)LW82212041-1555151361593910713.21%3022.60511161011233241.29%000.504140.38
4Josh DunneMooseMoose (WPG)C82191736-229513093327720.43%2419.98369000685250.45%000.44040.37
5Yegor SidorovMooseMoose (WPG)RW82111526-2014010113525838.15%2118.3304400001237.04%000.32000.27
6Jimmy SchuldtMooseMoose (WPG)D8242125-94551028628364.65%9326.213580001310262.50%000.30000.20
7Josiah SlavinMooseMoose (WPG)LW82101424-1212012777245812.99%2917.78000000222054.55%000.29000.25
8Colton DachMooseMoose (WPG)C80121022-18260115103426711.65%2619.14011000384148.52%000.28140.20
9Lleyton RoedMooseMoose (WPG)LW8281018-1120013059143513.56%1818.13437101850136.59%000.22260.16
10Connor MackeyMooseMoose (WPG)D823710-137715885613165.36%5520.622020117000100.00%000.1201-0.05
11Akito HiroseMooseMoose (WPG)D82066-12255372010150.00%2917.8400000059000.00%000.0700-0.03
12Ben GleasonMooseMoose (WPG)D760440100402515170.00%3518.97000000680034.78%000.05000.05
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)D74033-380237450.00%159.89000000150050.00%000.04000.01
16Aidan McDonoughMooseMoose (WPG)LW82213-1010067287227.14%611.0600000001033.33%000.04000.00
17Jesse PulkkinenMooseMoose (WPG)D802252071100.00%413.650000001000.00%000.25000.37
18Massimo RizzoMooseMoose (WPG)C902220096110.00%07.8000000000039.29%000.22000.28
19Philippe MyersMooseMoose (WPG)D74011-520117650.00%45.6200000070041.67%000.0100-0.01
20Adam KlapkaMooseMoose (WPG)RW211010001982512.50%39.3100000000028.57%000.05000.08
21Matthew SeminoffMooseMoose (WPG)RW1000000051000.00%08.2100000000060.00%000.00000.00
22Samuel BolducMooseMoose (WPG)D74000-10060020.00%32.0200000010050.00%000.0000-0.00
23Matt KierstedMooseMoose (WPG)D74000-20010000.00%00.710000000000.00%000.0000-0.01
Team Total or Average1418123212335-159398801396121638774810.12%55716.333354871026235919201146.31%2060279410000.291245
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)762733150.9022.0345632111541570814150.60448766846
2Adam ScheelMooseMoose (WPG)93310.8773.464330025203110100.6005657001
Team Total or Average853036160.8992.1549972111791773924250.604538263847
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 RW24975,000$975,000$ RFA
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
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$ UFA
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


# - Sammy Walker


# - Adam Klapka


# - Lleyton Roed


# - Aydar Suniev


# - Sammy Walker


# - Josiah Slavin


# - Josh Dunne


# - Yegor Sidorov


# - Aidan McDonough


# - Aydar Suniev


# - Josh Dunne

Defensive Pairings


# - Simon Nemec


# - Jimmy Schuldt


# - Connor Mackey


# - Simon Nemec


# - Akito Hirose


# - Simon Nemec

1st Power Play Unit


# - Aydar Suniev


# - Josh Dunne


# - Sammy Walker


# - Simon Nemec


# - Jimmy Schuldt

2nd Power Play Unit


# - Lleyton Roed


# - Aydar Suniev


# - 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
1MooseGulls2100010032130.750347011664681621274519572841961238200.00%10100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102360.0%14.3%89.5%103.8FUN
2MooseBruins2110000044020.500461001166468162227451957284591911416116.67%30100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102342.9%18.2%93.2%111.4LUCKY
3MooseAmericans2100000121130.7502350116646816202745195728494834500.00%40100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%10.0%88.9%98.9FUN
4MooseHeat2020000025-300.0002460016646816232745195728431101633300.00%8187.50%0574113550.57%651136547.69%38082745.95%144054515558852008102333.3%8.7%83.9%92.6Unlucky
5MooseWolves20200000313-1000.0003360016646816432745195728474182246200.00%6183.33%1574113550.57%651136547.69%38082745.95%144054515558852008102320.0%7.0%82.4%89.4Unlucky
6MooseIceHogs413000001016-620.2501015251016646816109274519572841484524719333.33%13376.92%0574113550.57%651136547.69%38082745.95%144054515558852008102335.0%9.2%89.2%98.4FUN
7MooseEagles2020000027-500.000235001664681637274519572845214840400.00%40100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102322.2%5.4%86.5%91.9Unlucky
8MooseMonsters3100011053250.83357120116646816432745195728443918516116.67%9277.78%1574113550.57%651136547.69%38082745.95%144054515558852008102380.0%11.6%93.0%104.7LUCKY
9MooseStars4310000094560.7509122101166468165927451957284372212695360.00%6183.33%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%15.3%89.2%104.4FUN
10MooseGriffins502000121119-840.4001116270016646816127274519572841926147837228.57%16475.00%0574113550.57%651136547.69%38082745.95%144054515558852008102337.5%8.7%90.1%98.8Unlucky
11MooseCondors2200000073441.0007121900166468164327451957284371316325240.00%30100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102362.5%16.3%91.9%108.2LUCKY
12MooseCheckers 13110001087140.66781220101664681664274519572845782058300.00%5340.00%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%12.5%87.7%100.2FUN
13MooseReign2200000062441.000691500166468163827451957284421314465480.00%7185.71%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%15.8%95.2%111.0LUCKY
14MooseWild4300000174370.8757111802166468165127451957284501728715120.00%4175.00%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%13.7%92.0%105.7LUCKY
15MooseRocket2100010043130.75047110016646816332745195728427515292150.00%50100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102350.0%12.1%88.9%101.0FUN
16MooseAdmirals42000002138560.75013213401166468168327451957284953430829333.33%10460.00%0574113550.57%651136547.69%38082745.95%144054515558852008102371.4%15.7%91.6%107.2LUCKY
17MooseComets3020100023-120.33324600166468163827451957284235252000.00%110.00%0574113550.57%651136547.69%38082745.95%144054515558852008102350.0%5.3%87.0%92.2Unlucky
18MooseIslanders2010000135-210.2503690016646816292745195728439106364250.00%30100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102316.7%10.3%87.2%97.5FUN
19MooseWolf Pack3200000165150.833612180016646816712745195728411532858500.00%4250.00%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%8.5%95.7%104.1DULL
20MooseBelleville Senators2020000035-200.00034700166468164827451957284451212317114.29%6350.00%0574113550.57%651136547.69%38082745.95%144054515558852008102350.0%6.3%88.9%95.1Unlucky
21MoosePhantoms2020000014-300.000112101664681633274519572842515428200.00%20100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102320.0%3.0%84.0%87.0Unlucky
22MooseRoadrunners2010010014-310.2501231016646816202745195728434132333133.33%10100.00%0574113550.57%651136547.69%38082745.95%14405451555885200810230.0%5.0%88.2%93.2Unlucky
23Moose Penguins2010000136-310.25034700166468163127451957284542527273133.33%6183.33%0574113550.57%651136547.69%38082745.95%144054515558852008102328.6%9.7%88.9%98.6FUN
24MooseBarracuda3020010038-510.16735800166468162527451957284381711456233.33%30100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102311.1%12.0%78.9%90.9FUN
25MooseThunderbirds40400000718-1100.00071320001664681661274519572841385039759222.22%12283.33%0574113550.57%651136547.69%38082745.95%144054515558852008102323.8%11.5%87.0%98.4FUN
26MooseCrunch2200000062441.00068140116646816202745195728430172385240.00%10100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102366.7%30.0%93.3%123.3LUCKY
27MooseMarlies2010000158-310.250581300166468164527451957284752913494125.00%40100.00%0574113550.57%651136547.69%38082745.95%144054515558852008102333.3%11.1%89.3%100.4FUN
28MooseCanucks2110000023-120.5002350016646816182745195728455196345120.00%3166.67%0574113550.57%651136547.69%38082745.95%144054515558852008102333.3%11.1%94.5%105.7LUCKY
29MooseHershey Bears2000001155030.7505813001664681628274519572843620840400.00%4175.00%0574113550.57%651136547.69%38082745.95%144054515558852008102355.6%17.9%86.1%104.0FUN
30MooseSilver Knights41300000813-520.25081321101664681675274519572844714259511436.36%10640.00%0574113550.57%651136547.69%38082745.95%144054515558852008102336.4%10.7%72.3%83.0FUN
31MooseCheckers 22020000025-300.0002460016646816372745195728452166454125.00%3166.67%0574113550.57%651136547.69%38082745.95%144054515558852008102320.0%5.4%90.4%95.8Unlucky
_Vs Division191013000153341-8270.711335487111664681628027451957284321108106368411434.15%381073.68%0574113550.57%651136547.69%38082745.95%144054515558852008102338.0%11.8%87.2%99.0FUN
_Vs Conference4615220031591118-27400.435911442353516646816809274519572841012345290858872832.18%1012476.24%0574113550.57%651136547.69%38082745.95%144054515558852008102340.1%11.2%88.3%99.6FUN
_Since Last GM Reset822536015411153195-42760.4631532403935916646816139527451957284177859247215101503926.00%1673976.65%2574113550.57%651136547.69%38082745.95%144054515558852008102342.2%11.0%89.0%100.0FUN
Total822536015411153195-42760.4631532403935916646816139527451957284177859247215101503926.00%1673976.65%2574113550.57%651136547.69%38082745.95%144054515558852008102342.2%11.0%89.0%100.0FUN

Puck Time
Offensive Zone 17
Neutral Zone 24
Defensive Zone 18
Puck Time
Offensive Zone Start 1135
Neutral Zone Start 827
Defensive Zone Start 1365
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 1605
Faceoffs Lost 1722
Team Average Shots after League Average Shots after
1st Period 3.39.57
2nd Period 9.720.31
3rd Period 16.630.68
Overtime 17.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 1.01.65
3rd Period 1.82.67
Overtime 2.02.83
Even Strenght Goal 107
PP Goal 39
PK Goal 2
Empty Net Goal 5
Home Away
Win 1515
Lost 1422
Overtime Lost 124
PP Attempt 150
PP Goal 39
PK Attempt 167
PK Goal Against 39
Home
Shots For 17.0
Shots Against 21.7
Goals For 1.9
Goals Against 2.4
Hits 18.4
Shots Blocked 7.2
Pim 5.8
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@MooseCARWPG1,CAR7RECAP
Tue, Jan 13MooseNJD@MooseWPGNJD1,WPG2 (OT)RECAP
Fri, Jan 16MooseFLO@MooseWPGFLO1,WPG2 (SO)RECAP
Mon, Jan 19MooseWPG@MooseSEAWPG0,SEA2RECAP
Tue, Jan 20MooseBOS@MooseWPGBOS0,WPG3RECAP
Fri, Jan 23MooseNAS@MooseWPGNAS2,WPG1 (SO)RECAP
Sun, Jan 25MooseWPG@MooseANAWPG2,ANA0RECAP
Mon, Jan 26MooseWPG@MooseCOLWPG1,COL3RECAP
Wed, Jan 28MooseCLB@MooseWPGCLB0,WPG2RECAP
Fri, Jan 30MooseOTT@MooseWPGOTT2,WPG1RECAP
Sun, Feb 1MooseWPG@MooseFLOWPG0,FLO2RECAP
Tue, Feb 3MooseWPG@MooseS JWPG2,S J4RECAP
Thu, Feb 5MooseNYR@MooseWPGNYR1,WPG2RECAP
Sun, Feb 8MooseSTL@MooseWPGSTL5,WPG2RECAP
Tue, Feb 10MooseWPG@MooseVANWPG2,VAN1RECAP
Thu, Feb 12MooseWPG@MooseBUFWPG0,BUF1 (SO)RECAP
Fri, Feb 13MooseLOS@MooseWPGLOS1,WPG4RECAP
Mon, Feb 16MooseWPG@MooseCALWPG1,CAL3RECAP
Tue, Feb 17MooseTOR@MooseWPGTOR3,WPG2 (SO)RECAP
Thu, Feb 19MooseWPG@MooseEDMWPG4,EDM2RECAP
Sat, Feb 21MooseS J@MooseWPGS J2,WPG0RECAP
Tue, Feb 24MooseNJD@MooseWPGNJD1,WPG0RECAP
Thu, Feb 26MooseNYI@MooseWPGNYI1,WPG0RECAP
Fri, Feb 27MooseWPG@MoosePHOWPG0,PHO2RECAP
Tue, Mar 3MoosePHO@MooseWPGPHO2,WPG1 (OT)RECAP
Fri, Mar 6MooseDET@MooseWPGDET3,WPG2 (SO)RECAP
Mon, Mar 9MooseWPG@MooseNJDWPG0,NJD1RECAP
Wed, Mar 11MooseCAR@MooseWPGCAR6,WPG2RECAP
Thu, Mar 12MooseWPG@MooseDALWPG0,DAL2RECAP
Sun, Mar 15MooseMIN@MooseWPGMIN1,WPG0 (SO)RECAP
Mon, Mar 16MooseWPG@MooseSTLWPG1,STL4RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sat, Mar 21MooseSEA@MooseWPGSEA3,WPG2RECAP
Sun, Mar 22MooseWPG@MooseDALWPG3,DAL1RECAP
Tue, Mar 24MooseWPG@MooseSTLWPG2,STL5RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,672,500$ 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
0 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,672,500$ 3,672,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
4,269,156$ 0$ 3,769,138$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 22 24,689$ 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

Moose30-36-16, 76pts31Final
Stars32-39-11, 75pts

Moose30-36-16, 76pts25Final
Thunderbirds48-25-9, 105pts

Moose30-36-16, 76ptsWed, Mar 25
Thunderbirds48-25-9, 105pts

IceHogs61-17-4, 126ptsSun, Oct 12
Moose30-36-16, 76pts

Griffins55-16-11, 121ptsTue, Oct 14
Moose30-36-16, 76pts

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
Aydar Suniev
MooseMoose
21
GOALS
POINTS
Simon Nemec
MooseMoose
55
POINTS
WINS
Devin Cooley
MooseMoose
27
WINS
Expanded Player Leaderboard

Team Stats


Goals For
153
1.87 GFG
Goals Against
195
2.38 GAA
Power Play Percentage
26.0%
39 GF
Penalty Kill Percentage
76.6%
39 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain