Your PHP version is out of date. Please upgrade it version 8 or more using your web server hosting company administration portal.
Login

Manitoba Moose
GP: 7 | W: 1 | L: 6 | OTL: 0 | P: 2
GF: 26 | GA: 45 | PP%: 100.00% | PK%: 100.00%
GM : Jean-Sébastien Milanese | Morale : 60 | Team Overall : 67
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Grand Rapids Griffins
7-0-0, 14pts
10
FINAL
0 Manitoba Moose
1-6-0, 2pts
Team Stats
W7StreakW1
3-0-0Home Record1-3-0
4-0-0Home Record0-3-0
7-0-0Last 10 Games1-6-0
8.57Goals Per Game3.71
1.29Goals Against Per Game6.43
37.50%Power Play Percentage100.00%
100.00%Penalty Kill Percentage100.00%
Laval Rocket
0-7-0, 0pts
4
FINAL
6 Manitoba Moose
1-6-0, 2pts
Team Stats
L7StreakW1
0-3-0Home Record1-3-0
0-4-0Home Record0-3-0
0-7-0Last 10 Games1-6-0
2.43Goals Per Game3.71
7.57Goals Against Per Game6.43
0.00%Power Play Percentage100.00%
0%Penalty Kill Percentage100.00%
Team Leaders

Team Stats
Goals For
26
3.71 GFG
Shots For
350
50.00 Avg
Power Play Percentage
100.0%
1 GF
Offensive Zone Start
34.1%
Goals Against
45
6.43 GAA
Shots Against
598
85.43 Avg
Penalty Kill Percentage
100.0%%
0 GA
Defensive Zone Start
45.6%
Team Info

General ManagerJean-Sébastien Milanese
CoachJeff Blashill
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity9,000
Attendance0
Season Tickets900


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 60
Prospects66


Team History

This Season1-6-0 (2PTS)
History0-0-0
Stanley Cup0


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 #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Matt Coronato (R)0X100.00545284408077806340616060636172060720203825,000$
2Thomas Bordeleau0X100.00555981427879815956595862616266060690212775,000$
3Adam Klapka (R)0XX100.00585970449173785742555863616065060680233975,000$
4Milos Kelemen0X100.00636581478673765440535360566163060660241825,000$
5Jean-Luc Foudy0X100.00525585467974785744545460576163060660211750,000$
6Marco Kasper (R)0X100.00505577427075755965585958626053060660193775,000$
7Marian Studenic0X100.00525685478174765540535360567465060660242850,000$
8Shane Wright (R)0X100.00525285468275775455515764606164060660193775,000$
9Noah Juulsen0X100.00696681448474815640605373567772060770261850,000$
10Henry Thrun0X100.00565482408179836040625863616167060740222775,000$
11Max Lajoie0X100.00595781428274796042605760607668060740252880,000$
12Tobias Bjornfot0X100.00535884448470765840605361567567060720223975,000$
13Lukas Cormier (R)0X100.00605782448175795842605361566065060720212775,000$
14Philip Broberg0X100.00635585458668765540575366566266060720221750,000$
15Ryan Johnson (R)0X100.00454581428371765640645265556067060710222825,000$
16Dennis Cholowski0X100.00495080436974745745595558586652060680252950,000$
17Joseph Duszak (R)0X100.00476173416772725945615758606754060670261775,000$
18Keaton Middleton0X100.00507366467075755545545559586650060670252850,000$
19Carson Lambos (R)0X100.00496073476974745445545358566149060660203775,000$
Scratches
1Pavol Regenda0X100.00505384478678775540545361566163060650231825,000$
2Francesco Pinelli (R)0XXX100.00495478456974745645535858616150060630203775,000$
3Samuel Asselin0X100.00465775466671715545545558586650060620252800,000$
4Lucas Ciona (R)0XX100.00466670496671715145495358566146060600203775,000$
5Alex Campbell (R)0XX100.00375080505762625145485358566346060570222775,000$
6Daniil Chayka (R)0X100.00485577496873735245525158546247060650203775,000$
7Jared McIsaac0X100.00405179496065655145515158546447060610231750,000$
TEAM AVERAGE100.0052577945767375564456556158645906067
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 #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Drew Commesso (R)0100.0067707726326567647042596068060640213775,000$
2Oskari Salminen0100.0056637329335557605638396362060560241825,000$
Scratches
TEAM AVERAGE100.006267752833606262634049626506060
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Blashill70807570707070USA602225,000$


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
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


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam KlapkaManitoba Moose (WPG)LW/RW232000-09-14Yes235 Lbs6 ft8NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Alex CampbellManitoba Moose (WPG)C/LW222001-02-27Yes175 Lbs5 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Carson LambosManitoba Moose (WPG)D202003-01-14Yes193 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Daniil ChaykaManitoba Moose (WPG)D202002-10-22Yes200 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Dennis CholowskiManitoba Moose (WPG)D251998-02-15No210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------NHL Link
Drew CommessoManitoba Moose (WPG)G212002-07-19Yes181 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Francesco PinelliManitoba Moose (WPG)C/LW/RW202003-04-11Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Henry ThrunManitoba Moose (WPG)D222001-03-12No190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Jared McIsaacManitoba Moose (WPG)D232000-03-27No197 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------NHL Link
Jean-Luc FoudyManitoba Moose (WPG)C212002-05-13No177 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------NHL Link
Joseph DuszakManitoba Moose (WPG)D261997-07-22Yes176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Keaton MiddletonManitoba Moose (WPG)D251998-02-10No240 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------NHL Link
Lucas CionaManitoba Moose (WPG)C/LW202003-01-08Yes220 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Lukas CormierManitoba Moose (WPG)D212002-03-27Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Marco KasperManitoba Moose (WPG)C192004-04-08Yes183 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Marian StudenicManitoba Moose (WPG)RW241998-10-28No190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------NHL Link
Matt CoronatoManitoba Moose (WPG)RW202002-11-14Yes183 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Max LajoieManitoba Moose (WPG)D251997-11-05No191 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm880,000$0$0$No880,000$--------880,000$--------No--------
Milos KelemenManitoba Moose (WPG)LW241999-07-06No210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------
Noah JuulsenManitoba Moose (WPG)D261997-04-02No201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------NHL Link
Oskari SalminenManitoba Moose (WPG)G241999-09-22No201 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------
Pavol RegendaManitoba Moose (WPG)LW231999-12-07No211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------
Philip BrobergManitoba Moose (WPG)D222001-06-25No212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------NHL Link
Ryan JohnsonManitoba Moose (WPG)D222001-07-24Yes195 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------
Samuel AsselinManitoba Moose (WPG)C251998-07-01No184 Lbs5 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------NHL Link
Shane WrightManitoba Moose (WPG)C192004-01-05Yes192 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Thomas BordeleauManitoba Moose (WPG)C212002-01-03No175 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Tobias BjornfotManitoba Moose (WPG)D222001-04-06No200 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2822.32196 Lbs6 ft12.07814,464$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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
OverallHomeVisitor
# VS Team 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 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
1Grand Rapids Griffins10100000010-1010100000010-100000000000000.00000000118702010012912107621013000%000%09121941.55%11929340.61%4713135.88%11881220468033
2Laval Rocket11000000642110000006420000000000021.0006121800118708810012912106015038000%10100.00%09121941.55%11929340.61%4713135.88%11881220468033
3Ontario Reign1010000056-1000000000001010000056-100.0005101500118704810012912109526032000%000%09121941.55%11929340.61%4713135.88%11881220468033
4Providence Bruins1010000016-51010000016-50000000000000.00012300118701410012912101073347000%20100.00%09121941.55%11929340.61%4713135.88%11881220468033
5Rochester Americans1010000068-2000000000001010000068-200.000612180011870671001291210892402111100.00%000%09121941.55%11929340.61%4713135.88%11881220468033
6Springfield Thunderbirds1010000068-2000000000001010000068-200.00061218001187079100129121010420245000%10100.00%09121941.55%11929340.61%4713135.88%11881220468033
7Tucson Roadrunners1010000023-11010000023-10000000000000.00024600118703410012912106718020000%000%09121941.55%11929340.61%4713135.88%11881220468033
Total716000002645-1941300000923-14303000001722-520.14326527800118703501001291210598157617611100.00%40100.00%09121941.55%11929340.61%4713135.88%11881220468033
_Since Last GM Reset716000002645-1941300000923-14303000001722-520.14326527800118703501001291210598157617611100.00%40100.00%09121941.55%11929340.61%4713135.88%11881220468033
_Vs Conference303000001317-41010000023-1202000001114-300.0001326390011870161100129121026664297000%10100.00%09121941.55%11929340.61%4713135.88%11881220468033
_Vs Division402000001328-1530100000720-131010000068-200.000132639001187018910012912103329347911100.00%30100.00%09121941.55%11929340.61%4713135.88%11881220468033

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
72W1265278350598157617600
All Games
GPWLOTWOTL SOWSOLGFGA
71600002645
Home Games
GPWLOTWOTL SOWSOLGFGA
4130000923
Visitor Games
GPWLOTWOTL SOWSOLGFGA
30300001722
Last 10 Games
WLOTWOTL SOWSOL
160000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
11100.00%40100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
100129121011870
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9121941.55%11929340.61%4713135.88%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11881220468033


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2024-09-0214Manitoba Moose6Rochester Americans8LBoxScore
4 - 2024-09-0429Providence Bruins6Manitoba Moose1LBoxScore
6 - 2024-09-0647Manitoba Moose6Springfield Thunderbirds8LBoxScore
8 - 2024-09-0863Tucson Roadrunners3Manitoba Moose2LBoxScore
10 - 2024-09-1079Manitoba Moose5Ontario Reign6LBoxScore
12 - 2024-09-1295Grand Rapids Griffins10Manitoba Moose0LBoxScore
14 - 2024-09-14106Laval Rocket4Manitoba Moose6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity60003000
Ticket Price3516
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$9000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,280,500$ 2,280,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 0$ 0$




Manitoba Moose Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Manitoba Moose Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Manitoba Moose Career Team Stats

OverallHomeVisitor
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

Manitoba Moose Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Manitoba Moose Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA