MooseManitoba Moose
25-23-11, 61pts · 10th 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
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
Matthew Seminoff0RW100.006142706562626058415552585950501505721975,000$/2yrs
Philippe Myers0D100.007047727080797368406261716669611506828975,000$/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
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)D59103343-1032207713163627.63%8828.0851015000122110.00%000.73110.61
2Sammy WalkerMooseMoose (WPG)C/LW/RW59121729-34073105256411.43%1418.475712011372048.48%000.494110.49
3Aydar SunievMooseMoose (WPG)LW59141327-12471597119248211.76%1622.36459000992236.71%000.464110.32
4Josh DunneMooseMoose (WPG)C5913132681409167235019.40%1219.47145000543149.28%000.44020.43
5Yegor SidorovMooseMoose (WPG)RW5991322-11206510119608.91%1618.0004400001140.00%000.37000.39
6Jimmy SchuldtMooseMoose (WPG)D5921719-2435696221243.23%6926.042350001010166.67%000.32000.21
7Josiah SlavinMooseMoose (WPG)LW599101911009060204415.00%2217.49000000162050.00%000.32000.33
8Lleyton RoedMooseMoose (WPG)LW5981018-41608848113316.67%1118.16437101680135.29%000.31240.24
9Colton DachMooseMoose (WPG)C589716-92207274264812.16%1618.02011000263045.03%000.28000.21
10Connor MackeyMooseMoose (WPG)D59257-76715684312134.65%3820.5320201155000.00%000.1201-0.07
11Akito HiroseMooseMoose (WPG)D59055-417525149110.00%1416.9900000046000.00%000.08000.01
12Ben GleasonMooseMoose (WPG)D53044460272113140.00%3019.86000000580033.33%000.08000.10
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
15Aidan McDonoughMooseMoose (WPG)LW59213-980451741511.76%410.0700000001045.45%000.0500-0.00
16Isaac BelliveauMooseMoose (WPG)D51022-340186340.00%89.80000000110060.00%000.04000.01
17Jesse PulkkinenMooseMoose (WPG)D802252071100.00%413.650000001000.00%000.25000.37
18Massimo RizzoMooseMoose (WPG)C802220066110.00%07.3700000000037.50%000.25000.31
19Philippe MyersMooseMoose (WPG)D51011-52077650.00%35.5400000070040.00%000.0200-0.01
20Matthew SeminoffMooseMoose (WPG)RW900000041000.00%07.6600000000060.00%000.00000.00
21Samuel BolducMooseMoose (WPG)D5100000060020.00%32.000000001000.00%000.00000.01
22Matt KierstedMooseMoose (WPG)D51000-20010000.00%00.770000000000.00%000.0000-0.01
Team Total or Average100592161253-503196596290128554510.21%37616.1923386177412371315745.86%1197211293000.311130
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)532220100.9031.973176091041073547040.59432536534
2Adam ScheelMooseMoose (WPG)83310.8743.554230025198108100.6005634001
Team Total or Average612523110.8992.153599091291271655140.595375940535
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
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


# - Sammy Walker


# - Colton Dach


# - Lleyton Roed


# - Colton Dach


# - 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
1MooseGulls2100010032130.750347011452501521214421412681961238200.00%10100.00%043086849.54%484100048.40%28660747.12%10534121118638143272460.0%14.3%89.5%103.8FUN
2MooseBruins2110000044020.500461001145250152221442141268591911416116.67%30100.00%043086849.54%484100048.40%28660747.12%10534121118638143272442.9%18.2%93.2%111.4LUCKY
3MooseAmericans1100000020221.0002350114525015162144214126883616300.00%30100.00%043086849.54%484100048.40%28660747.12%105341211186381432724100.0%12.5%100.0%112.5LUCKY
4MooseHeat1010000012-100.00012300145250151321442141268124614100.00%30100.00%043086849.54%484100048.40%28660747.12%10534121118638143272433.3%7.7%83.3%91.0Unlucky
5MooseWolves1010000017-600.0001120014525015162144214126833121825100.00%40100.00%043086849.54%484100048.40%28660747.12%10534121118638143272412.5%6.3%78.8%85.0Unlucky
6MooseIceHogs413000001016-620.2501015251014525015109214421412681484524719333.33%13376.92%043086849.54%484100048.40%28660747.12%10534121118638143272435.0%9.2%89.2%98.4FUN
7MooseEagles2020000027-500.000235001452501537214421412685214840400.00%40100.00%043086849.54%484100048.40%28660747.12%10534121118638143272422.2%5.4%86.5%91.9Unlucky
8MooseMonsters3100011053250.83357120114525015432144214126843918516116.67%9277.78%143086849.54%484100048.40%28660747.12%10534121118638143272480.0%11.6%93.0%104.7LUCKY
9MooseStars2200000061541.0006915011452501536214421412681886283133.33%30100.00%043086849.54%484100048.40%28660747.12%10534121118638143272483.3%16.7%94.4%111.1LUCKY
10MooseGriffins40200011916-730.375913220014525015102214421412681564847686233.33%16475.00%043086849.54%484100048.40%28660747.12%10534121118638143272436.8%8.8%89.7%98.6Unlucky
11MooseCondors1100000031221.0003690014525015262144214126816614135240.00%20100.00%043086849.54%484100048.40%28660747.12%10534121118638143272450.0%11.5%93.8%105.3LUCKY
12MooseCheckers 13110001087140.66781220101452501564214421412685782058300.00%5340.00%043086849.54%484100048.40%28660747.12%10534121118638143272466.7%12.5%87.7%100.2FUN
13MooseReign1100000021121.0002350014525015132144214126815542122100.00%20100.00%043086849.54%484100048.40%28660747.12%1053412111863814327240.0%15.4%93.3%108.7LUCKY
14MooseWild3300000073461.0007111802145250154921442141268441528584125.00%4175.00%043086849.54%484100048.40%28660747.12%10534121118638143272475.0%14.3%93.2%107.5LUCKY
15MooseRocket2100010043130.75047110014525015332144214126827515292150.00%50100.00%043086849.54%484100048.40%28660747.12%10534121118638143272450.0%12.1%88.9%101.0FUN
16MooseAdmirals42000002138560.75013213401145250158321442141268953430829333.33%10460.00%043086849.54%484100048.40%28660747.12%10534121118638143272471.4%15.7%91.6%107.2LUCKY
17MooseComets1000100021121.0002460014525015202144214126870014000.00%000.00%043086849.54%484100048.40%28660747.12%10534121118638143272466.7%10.0%85.7%95.7FUN
18MooseIslanders1000000134-110.500369001452501522214421412682374173266.67%20100.00%043086849.54%484100048.40%28660747.12%10534121118638143272420.0%13.6%82.6%96.2FUN
19MooseWolf Pack2100000144030.7504812001452501547214421412687720841500.00%4250.00%043086849.54%484100048.40%28660747.12%10534121118638143272466.7%8.5%94.8%103.3DULL
20MooseBelleville Senators2020000035-200.00034700145250154821442141268451212317114.29%6350.00%043086849.54%484100048.40%28660747.12%10534121118638143272450.0%6.3%88.9%95.1Unlucky
21MoosePhantoms2020000014-300.000112101452501533214421412682515428200.00%20100.00%043086849.54%484100048.40%28660747.12%10534121118638143272420.0%3.0%84.0%87.0Unlucky
22Moose Penguins2010000136-310.25034700145250153121442141268542527273133.33%6183.33%043086849.54%484100048.40%28660747.12%10534121118638143272428.6%9.7%88.9%98.6FUN
23MooseBarracuda1000010012-110.5001230014525015112144214126811571711100.00%10100.00%043086849.54%484100048.40%28660747.12%1053412111863814327240.0%9.1%81.8%90.9FUN
24MooseThunderbirds1010000024-200.000235001452501513214421412683812819100.00%40100.00%043086849.54%484100048.40%28660747.12%10534121118638143272433.3%15.4%89.5%104.9FUN
25MooseCrunch2200000062441.00068140114525015202144214126830172385240.00%10100.00%043086849.54%484100048.40%28660747.12%10534121118638143272466.7%30.0%93.3%123.3LUCKY
26MooseMarlies1010000035-200.0003580014525015272144214126839811222150.00%30100.00%043086849.54%484100048.40%28660747.12%10534121118638143272428.6%11.1%87.2%98.3FUN
27MooseCanucks1010000002-200.0000000014525015621442141268197412200.00%2150.00%043086849.54%484100048.40%28660747.12%1053412111863814327240.0%0.0%89.5%89.5Unlucky
28MooseHershey Bears2000001155030.7505813001452501528214421412683620840400.00%4175.00%043086849.54%484100048.40%28660747.12%10534121118638143272455.6%17.9%86.1%104.0FUN
29MooseSilver Knights41300000813-520.25081321101452501575214421412684714259511436.36%10640.00%043086849.54%484100048.40%28660747.12%10534121118638143272436.4%10.7%72.3%83.0FUN
30MooseCheckers 21010000002-200.00000000145250151221442141268227422200.00%2150.00%043086849.54%484100048.40%28660747.12%1053412111863814327240.0%0.0%90.9%90.9Unlucky
_Vs Division1299000131825-7230.958183048111452501517721442141268161547623226934.62%23865.22%043086849.54%484100048.40%28660747.12%10534121118638143272434.6%10.2%84.5%94.6FUN
_Vs Conference311213002136778-11310.50067105172251452501560021442141268693223223586601931.67%751974.67%043086849.54%484100048.40%28660747.12%10534121118638143272444.9%11.2%88.7%99.9FUN
_Since Last GM Reset59202301447121140-19610.5171211893104914525015107621442141268127541039110761142925.44%1343276.12%143086849.54%484100048.40%28660747.12%10534121118638143272446.0%11.2%89.0%100.3FUN
Total59202301447121140-19610.5171211893104914525015107621442141268127541039110761142925.44%1343276.12%143086849.54%484100048.40%28660747.12%10534121118638143272446.0%11.2%89.0%100.3FUN

Puck Time
Offensive Zone 17
Neutral Zone 24
Defensive Zone 18
Puck Time
Offensive Zone Start 868
Neutral Zone Start 607
Defensive Zone Start 1000
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1200
Faceoffs Lost 1275
Team Average Shots after League Average Shots after
1st Period 3.69.57
2nd Period 10.820.31
3rd Period 17.730.68
Overtime 18.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 1.11.65
3rd Period 2.02.67
Overtime 2.22.83
Even Strenght Goal 87
PP Goal 29
PK Goal 1
Empty Net Goal 4
Home Away
Win 1312
Lost 815
Overtime Lost 83
PP Attempt 114
PP Goal 29
PK Attempt 134
PK Goal Against 32
Home
Shots For 18.2
Shots Against 21.6
Goals For 2.1
Goals Against 2.4
Hits 18.2
Shots Blocked 6.9
Pim 6.6
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@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 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
3,575,000$ 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
12 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,575,000$ 3,575,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
3,009,942$ 0$ 2,660,784$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 74 24,112$ 1,229,712$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
1,229,712$ 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

Belleville Senators34-18-7, 75pts21Final
Moose25-23-11, 61pts

Moose25-23-11, 61pts02Final
Checkers 119-34-7, 45pts

Moose25-23-11, 61ptsMon, Feb 02
Checkers 119-34-7, 45pts

IceHogs45-10-3, 93ptsSun, Oct 12
Moose25-23-11, 61pts

Griffins40-9-9, 89ptsTue, Oct 14
Moose25-23-11, 61pts

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
14
GOALS
POINTS
Simon Nemec
MooseMoose
43
POINTS
WINS
Devin Cooley
MooseMoose
22
WINS
Expanded Player Leaderboard

Team Stats


Goals For
121
2.05 GFG
Goals Against
140
2.37 GAA
Power Play Percentage
25.4%
29 GF
Penalty Kill Percentage
76.1%
32 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain