Ligue de hockey General Manager du Québec

Moose
Manitoba

Moose

6-2-3 | 15 pts
#1 in Central
GPG2.64#19
GAPG2.64#14
PP %14.3#20
PK %89.7#7
Pro team
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Roster

Player POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD MO OV AGE SALARYYRS
Fedor Svechkov#0 · CC1007240796673726965736261656663614373231,300,000$2
Rutger McGroarty (R)#0 · C / LW / RWC/LW/RW100703395617776705860616360606161437122950,000$1
Jack Becker#0 · CC100704081578669895670595971597371437129800,000$1
Lucas Mercuri (R)#0 · CC100994150588868785774576068596560417124896,250$1
Charlie Cerrato (R)#0 · CC100613986647264645658675863646768447121915,000$2
Matthew Strome#8 · LWLW100734078578468855644595868597068437027800,000$1
Marc Johnstone (C)#0 · RWRW100784072557169845539585773587572407030800,000$1
Ivan Miroshnichenko#0 · LWLW100743297617471705555606061586261437022925,000$2
Justin Pearson#0 · LWLW100704082567568875549585870587270417028800,000$1
Brendan Furry#0 · LWLW100674085568068865747576069597271447028800,000$1
Jeff Malott (A)#0 · LWLW100864770558170765458585663557572436930800,000$1
Joe Carroll#0 · LWLW100734169568165676243555665416461416925800,000$1
Carter Yakemchuk (R)#0 · DD100744077638767745630666056635957447321941,667$3
Ben Dexheimer (R)#0 · DD100663695636661715230605568637272437224980,000$1
Philippe Myers (A)#0 · DD100773783559180775130565470537472437129850,000$1
Luke Rowe#0 · DD100893958527967845630575373557268437128800,000$1
Abram Wiebe (R)#0 · DD100663597617161715130615368627070437123950,000$1
Dakota Mermis#36 · DD100644970557677675030565960547976436932800,000$1
Dylan McIlrath#52 · DD100817457559472705030565061508278436934800,000$1
Scratches
Vasili Ponomaryov (R)#0 · CC100774073637071756271656366646562297324800,000$1
Nils Aman#0 · CC100703296587372685971655661586968297126850,000$2
Eduard Sale (R)#0 · RWRW100624091606966845642595962595958326921909,166$2
Brayden Yager (R)#0 · C / RWC/RW100594094606765775745605859595958326821940,833$2
Adam Novotny (R)#0 · LW / RWLW/RW1006139866180655658455761595954532968181,075,000$3
Miko Matikka (R)#0 · C / LW / RWC/LW/RW100624090557563795242555462556362326623945,000$1
Vinzenz Rohrer (R)#0 · CC100623592626359714860545363626969296622972,500$2
Kirill Tyutyayev (R)#0 · LWLW100583795486759706235484865336262296426800,000$1
Jake Elmer#37 · RWRW100633886557356605665514260406361326326800,000$1
Ville Heinola#0 · DD100633288557078695030545062506765296725850,000$2
Artur Cholach (R)#0 · DD100664086548061685230565060536261296723800,000$1
Dmitri Osipov#0 · DD100814356259362816535171869367065295230800,000$1
TEAM AVERAGE1007140815777677456475755655667663869
Goalie CON SK DU EN SZ AG RB SC HS RT PH PS EX LD MO OV AGE SALARYYRS
Damian Clara#0 · Goalie10074747189617773747778755866437821878,333$1
Dryden McKay#0 · Goalie10068656772717470687472716972467428800,000$1
Scratches
Jordan Papirny#0 · Goalie10064586574667268647269687472347230800,000$1
Jeremy Brodeur#0 · Goalie10066646571656466656466656775347029900,000$1
TEAM AVERAGE100686567776672696872717067713974
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Bouchard66676860696964CAN523500,000$
General Manager
Fernito Brigante

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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ben Dexheimer#0 · DMoose (WPG)D1127946011101551013.33%2421719.75112725000033000%000000.8300000000
2Carter Yakemchuk#0 · DMoose (WPG)D11358119534101751317.65%1425923.60011525000028000%000000.6200001200
3Fedor Svechkov#0 · CMoose (WPG)C11257-40011323615285.56%327224.740003250001371050.59%42300000.5112000010
4Ivan Miroshnichenko#0 · LWMoose (WPG)LW11347360672351413.04%016314.8200000000000038.46%1300000.8600000100
5Rutger McGroarty#0 · C / LW / RWMoose (WPG)C/LW/RW11246-3006243513305.71%427124.710004250001380050.00%1600000.4412000001
6Brendan Furry#0 · LWMoose (WPG)LW101564751511122148.33%515215.2200000000000025.00%800000.7900100001
7Matthew Strome#8 · LWMoose (WPG)LW112350601017286157.14%122120.131016240000241178.95%1900000.4500000000
8Jack Becker#0 · CMoose (WPG)C11235040335268257.69%022120.170115240000220155.80%27600000.4502000003
9Charlie Cerrato#0 · CMoose (WPG)C1150545510222651319.23%518516.84101323000001144.83%17400000.5401001120
10Luke Rowe#0 · DMoose (WPG)D11134-1100331167816.67%1222620.62112324000026000%000000.3500000000
11Philippe Myers#0 · DMoose (WPG)D11213-120134155713.33%1123521.43011924000032110%000000.2500000010
12Marc Johnstone#0 · RWMoose (WPG)RW11123-3752617345232.94%518917.2401110250000111038.10%2100000.3200010000
13Abram Wiebe#0 · DMoose (WPG)D11033000684110%2017115.600000000009000%000000.3500000000
14Eduard Sale#0 · RWMoose (WPG)RW11121001432533.33%01515.700110100000000%200002.5500000001
15Dakota Mermis#36 · DMoose (WPG)D110110402346030%617015.460000000007000%000000.1200000000
16Miko Matikka#0 · C / LW / RWMoose (WPG)C/LW/RW11010000041225.00%088.0800000000000050.00%200002.4700000000
17Dylan McIlrath#52 · DMoose (WPG)D11000-260422010%3595.420000000001000%00000000000000
18Jake Elmer#37 · RWMoose (WPG)RW1000000000000%022.170000000000000%00000000000000
19Jeff Malott#0 · LWMoose (WPG)LW110001601114220%0575.19000010000100100.00%30000000000000
20Joe Carroll#0 · LWMoose (WPG)LW10000000000000%000.080000000000000%00000000000000
21Justin Pearson#0 · LWMoose (WPG)LW10000000000000%000.040000000000000%00000000000000
22Brayden Yager#0 · C / RWMoose (WPG)C/RW1000-100114010%01616.1800000000000050.00%80000000000000
23Lucas Mercuri#0 · CMoose (WPG)C10000-12403412228100%015115.1600001000000062.50%160000000000000
Team Total or Average209284775211220258322952258.70%11315.6547112530002745451.17%98100000.4627
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
1Damian Clara#0 · GoalieMoose (WPG)116230.9242.4967600283700000.7147110200
Team Total or Average116230.9242.4967600283700000.7147110200
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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Abram WiebeMoose (WPG)D232003-08-28Yes187 Lbs6 ft2NoNoNo1Pro & Farm950,000$798,974$950,000$798,974$0$0$No
Adam NovotnyMoose (WPG)LW/RW182007-11-13Yes205 Lbs6 ft1NoNoNo3Pro & Farm1,075,000$904,103$1,075,000$904,103$0$0$No1,075,000$1,075,000$
Artur CholachMoose (WPG)D232003-06-06Yes202 Lbs6 ft2NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Ben DexheimerMoose (WPG)D242002-06-21Yes180 Lbs5 ft10NoNoNo1Pro & Farm980,000$824,205$980,000$824,205$0$0$NoLink
Brayden YagerMoose (WPG)C/RW212005-01-03Yes170 Lbs6 ft0NoNoNo2Pro & Farm940,833$791,265$940,833$791,265$0$0$No940,833$
Brendan FurryMoose (WPG)LW281998-07-08No205 Lbs6 ft1NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Carter YakemchukMoose (WPG)D212005-09-29Yes219 Lbs6 ft3NoNoNo3Pro & Farm941,667$791,966$941,667$791,966$0$0$No941,667$941,667$
Charlie CerratoMoose (WPG)C212005-03-10Yes190 Lbs6 ft0NoNoNo2Pro & Farm915,000$769,538$915,000$769,538$0$0$No915,000$
Dakota MermisMoose (WPG)D321994-01-05No195 Lbs6 ft0NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Damian ClaraMoose (WPG)G212005-01-13Yes721 Lbs6 ft6NoNoNo1Pro & Farm878,333$738,701$878,333$738,701$0$0$No
Dmitri OsipovMoose (WPG)D301996-10-04No234 Lbs6 ft4NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Dryden McKayMoose (WPG)G281997-11-25No183 Lbs6 ft0NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Dylan McIlrathMoose (WPG)D341992-04-20No232 Lbs6 ft5NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Eduard SaleMoose (WPG)RW212005-03-10Yes170 Lbs6 ft1NoNoNo2Pro & Farm909,166$764,632$909,166$764,632$0$0$No909,166$
Fedor SvechkovMoose (WPG)C232003-04-05No187 Lbs6 ft0NoNoNo2Pro & Farm1,300,000$1,093,333$1,300,000$1,093,333$0$0$No1,300,000$
Ivan MiroshnichenkoMoose (WPG)LW222004-02-04No185 Lbs6 ft1NoNoNo2Pro & Farm925,000$777,949$925,000$777,949$0$0$No925,000$NHL Link
Jack BeckerMoose (WPG)C291997-06-24No215 Lbs6 ft3NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Jake ElmerMoose (WPG)RW261999-12-31No182 Lbs6 ft1NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoLink / NHL Link
Jeff MalottMoose (WPG)LW301996-08-07No201 Lbs6 ft3NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Jeremy BrodeurMoose (WPG)G291996-10-29No185 Lbs6 ft0NoNoNo1Pro & Farm900,000$756,923$900,000$756,923$0$0$NoLink / NHL Link
Joe CarrollMoose (WPG)LW252001-02-01No204 Lbs6 ft2NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Jordan PapirnyMoose (WPG)G301996-04-10No185 Lbs6 ft1NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Justin PearsonMoose (WPG)LW281998-05-17No190 Lbs6 ft1NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Kirill TyutyayevMoose (WPG)LW262000-08-08Yes176 Lbs5 ft10NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Lucas MercuriMoose (WPG)C242002-03-07Yes222 Lbs6 ft3NoNoNo1Pro & Farm896,250$753,769$896,250$753,769$0$0$No
Luke RoweMoose (WPG)D281998-08-08No200 Lbs6 ft1NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Marc JohnstoneMoose (WPG)RW301996-06-19No181 Lbs6 ft0NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Matthew StromeMoose (WPG)LW271999-01-06No205 Lbs6 ft4NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$NoNHL Link
Miko MatikkaMoose (WPG)C/LW/RW232003-10-26Yes183 Lbs6 ft3NoNoNo1Pro & Farm945,000$794,769$945,000$794,769$0$0$No
Nils AmanMoose (WPG)C262000-02-07No179 Lbs6 ft2NoNoNo2Pro & Farm850,000$714,872$850,000$714,872$0$0$No850,000$NHL Link
Philippe MyersMoose (WPG)D291997-01-25No219 Lbs6 ft6NoNoNo1Pro & Farm850,000$714,872$850,000$714,872$0$0$NoNHL Link
Rutger McGroartyMoose (WPG)C/LW/RW222004-03-30Yes200 Lbs6 ft0NoNoNo1Pro & Farm950,000$798,974$950,000$798,974$0$0$NoNHL Link
Vasili PonomaryovMoose (WPG)C242002-03-13Yes180 Lbs5 ft11NoNoNo1Pro & Farm800,000$672,821$800,000$672,821$0$0$No
Ville HeinolaMoose (WPG)D252001-03-02No181 Lbs5 ft11NoNoNo2Pro & Farm850,000$714,872$850,000$714,872$0$0$No850,000$NHL Link
Vinzenz RohrerMoose (WPG)C222004-09-09Yes173 Lbs5 ft11NoNoNo2Pro & Farm972,500$817,897$972,500$817,897$0$0$No972,500$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3525.51209 Lbs6 ft11.34875,107$


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
1MooseAdmirals1100000042221.000461000811832395101119143781018400.00%2150.00%018536750.41%21741352.54%10017955.87%250168280901457280.0%17.4%94.6%112.0LUCKY
2MooseGriffins2000011044030.750437008118354951011191473231644200.00%70100.00%018536750.41%21741352.54%10017955.87%250168280901457250.0%7.4%94.5%101.9DULL
3MooseStars2110000057-220.50059140081183569510111914712235499111.11%8275.00%018536750.41%21741352.54%10017955.87%250168280901457244.4%8.9%90.1%99.1Unlucky
4MooseWild2110000044020.50048120081183619510111914611516565120.00%7185.71%018536750.41%21741352.54%10017955.87%250168280901457250.0%6.6%93.4%100.0DULL
5MooseWolves410011011212060.750122133008118312895101119141284535918225.00%150100.00%018536750.41%21741352.54%10017955.87%250168280901457245.5%9.4%90.6%100.0FUN
Total11420121129290150.6822947760081183322951011191437011311225828414.29%39489.74%018536750.41%21741352.54%10017955.87%250168280901457250.0%9.0%92.2%101.2LUCKY
_Since Last GM Reset11420121129290150.6822947760081183322951011191437011311225828414.29%39489.74%018536750.41%21741352.54%10017955.87%250168280901457250.0%9.0%92.2%101.2LUCKY
_Vs Conference9420110125250120.66725446900811832689510111914297909621426415.38%32487.50%018536750.41%21741352.54%10017955.87%250168280901457250.0%9.3%91.6%100.9LUCKY
_Vs Division5420110113130121.20013233600811831409510111914169456112318211.11%17476.47%018536750.41%21741352.54%10017955.87%250168280901457255.0%9.3%92.3%101.6LUCKY

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1115W229477632237011311225800
All Games
GPWLOTWOTL SOWSOLGFGA
114212112929
Home Games
GPWLOTWOTL SOWSOLGFGA
42100011113
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72112101816
Last 10 Games
WLOTWOTL SOWSOL
520201
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
28414.29%39489.74%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
951011191481183
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18536750.41%21741352.54%10017955.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2501682809014572


Schedule

DateVisitorScoreHomeResult / Arena
Fri, Oct 2 Wolves 34 Moose FINAL
Sat, Oct 3 Wolves 32 Moose FINAL/SO
Thu, Oct 8 Moose 21 Griffins FINAL/SO
Fri, Oct 9 Moose 23 Wolves FINAL/OT
Thu, Oct 15 Stars 34 Moose FINAL
Sat, Oct 17 Stars 41 Moose FINAL
Tue, Oct 20 Moose 23 Griffins FINAL/OT
Thu, Oct 22 Moose 21 Wild FINAL
Fri, Oct 23 Moose 23 Wild FINAL
Mon, Oct 26 Moose 43 Wolves FINAL/OT
Tue, Oct 27 Moose 42 Admirals FINAL
Thu, Oct 29 Moose    IceHogs Rockford
Thu, Nov 5 Marlies    Moose Manitoba
Fri, Nov 6 Marlies    Moose Manitoba
Mon, Nov 9 Moose    Stars Texas
Tue, Nov 10 Moose    Stars Texas
Fri, Nov 13 Moose    IceHogs Rockford
Sat, Nov 14 Moose    Wolves Chicago
Tue, Nov 17 Moose    Griffins Grand Rapids
Thu, Nov 19 IceHogs    Moose Manitoba
Sat, Nov 21 IceHogs    Moose Manitoba
Mon, Nov 23 Griffins    Moose Manitoba
Tue, Nov 24 Griffins    Moose Manitoba
Fri, Nov 27 Senators    Moose Manitoba
Sat, Nov 28 Senators    Moose Manitoba
Tue, Dec 1 Moose    Griffins Grand Rapids
Thu, Dec 3 Moose    IceHogs Rockford
Fri, Dec 4 Moose    Admirals Milwaukee
Mon, Dec 7 Moose    IceHogs Rockford
Tue, Dec 8 Moose    Wolves Chicago
Fri, Dec 11 Wild    Moose Manitoba
Sat, Dec 12 Wild    Moose Manitoba
Tue, Dec 15 IceHogs    Moose Manitoba
Thu, Dec 17 IceHogs    Moose Manitoba
Mon, Dec 28 Canucks    Moose Manitoba
Wed, Dec 30 Canucks    Moose Manitoba
Thu, Dec 31 Wranglers    Moose Manitoba
Sat, Jan 2 Wranglers    Moose Manitoba
Thu, Jan 7 Stars    Moose Manitoba
Sat, Jan 9 Stars    Moose Manitoba
Tue, Jan 12 Moose    Condors Bakersfield
Thu, Jan 14 Moose    Condors Bakersfield
Sun, Jan 17 Moose    Wranglers Calgary
Mon, Jan 18 Moose    Wranglers Calgary
Thu, Jan 21 Moose    Canucks Abbotsford
Fri, Jan 22 Moose    Canucks Abbotsford
Thu, Jan 28 Admirals    Moose Manitoba
Sat, Jan 30 Admirals    Moose Manitoba
Thu, Feb 4 Moose    Stars Texas
Fri, Feb 5 Moose    Stars Texas
Fri, Feb 12 Rocket    Moose Manitoba
Sun, Feb 14 Rocket    Moose Manitoba
Wed, Feb 17 Admirals    Moose Manitoba
Fri, Feb 19 Admirals    Moose Manitoba
Thu, Feb 25 Moose    Admirals Milwaukee
Fri, Feb 26 Moose    Admirals Milwaukee
Wed, Mar 3 Wolves    Moose Manitoba
Fri, Mar 5 Wolves    Moose Manitoba
Thu, Mar 11 Moose    Wild Iowa
Fri, Mar 12 Moose    Wild Iowa
Mon, Mar 15 Condors    Moose Manitoba
Tue, Mar 16 Condors    Moose Manitoba
Thu, Mar 18 Wild    Moose Manitoba
Sat, Mar 20 Wild    Moose Manitoba
Tue, Mar 23 Moose    Marlies Toronto
Thu, Mar 25 Moose    Senators Belleville
Fri, Mar 26 Moose    Senators Belleville
Tue, Mar 30 Moose    Marlies Toronto
Thu, Apr 1 Moose    Rocket Laval
Fri, Apr 2 Moose    Rocket Laval
Fri, Apr 9 Griffins    Moose Manitoba
Sat, Apr 10 Griffins    Moose Manitoba

Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price350
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
540,175$ 2,897,875$ 2,897,875$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
14,861$ 460,691$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 164 17,425$ 2,857,700$




Moose


Moose


Moose

Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
Regular Season
2026
Total Regular Season
Playoff
2020
2024
Total Playoff

Moose


Moose