Login

Manitoba Moose
GP: 27 | W: 18 | L: 7 | OTL: 2 | P: 38
GF: 91 | GA: 64 | PP%: 30.49% | PK%: 83.64%
GM : Louis-Philip Lafrance | Morale : 60 | Team Overall : 61
Next Games #406 vs Syracuse Crunch
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Manitoba Moose
18-7-2, 38pts
3
FINAL
1 Tucson Roadrunners
13-7-5, 31pts
Team Stats
W3StreakL1
7-3-2Home Record6-3-3
11-4-0Home Record7-4-2
6-3-1Last 10 Games5-3-2
3.37Goals Per Game4.12
2.37Goals Against Per Game3.64
30.49%Power Play Percentage27.54%
83.64%Penalty Kill Percentage78.26%
Milwaukee Admirals
12-11-1, 25pts
2
FINAL
5 Manitoba Moose
18-7-2, 38pts
Team Stats
L1StreakW3
6-5-1Home Record7-3-2
6-6-0Home Record11-4-0
5-4-1Last 10 Games6-3-1
3.71Goals Per Game3.37
3.96Goals Against Per Game2.37
22.03%Power Play Percentage30.49%
72.55%Penalty Kill Percentage83.64%
Manitoba Moose
18-7-2, 38pts
2023-12-10
Syracuse Crunch
12-12-2, 26pts
Team Stats
W3StreakW2
7-3-2Home Record8-4-0
11-4-0Away Record4-8-2
6-3-1Last 10 Games5-4-1
3.37Goals Per Game3.73
2.37Goals Against Per Game3.73
30.49%Power Play Percentage26.32%
83.64%Penalty Kill Percentage83.33%
Rockford IceHogs
12-10-0, 24pts
2023-12-11
Manitoba Moose
18-7-2, 38pts
Team Stats
W2StreakW3
7-6-0Home Record7-3-2
5-4-0Away Record11-4-0
8-2-0Last 10 Games6-3-1
4.14Goals Per Game3.37
3.91Goals Against Per Game3.37
18.52%Power Play Percentage30.49%
86.54%Penalty Kill Percentage83.64%
Manitoba Moose
18-7-2, 38pts
2023-12-14
Colorado Eagles
10-13-3, 23pts
Team Stats
W3StreakL2
7-3-2Home Record6-4-2
11-4-0Away Record4-9-1
6-3-1Last 10 Games3-6-1
3.37Goals Per Game3.58
2.37Goals Against Per Game3.58
30.49%Power Play Percentage18.97%
83.64%Penalty Kill Percentage77.78%
Team Leaders
Goals
Logan O'Connor
18
Assists
Reese Johnson
20
Points
Logan O'Connor
34
Plus/Minus
Denis Malgin
13
Wins
David Rittich
18
Save Percentage
David Rittich
0.92

Team Stats
Goals For
91
3.37 GFG
Shots For
762
28.22 Avg
Power Play Percentage
30.5%
25 GF
Offensive Zone Start
39.6%
Goals Against
64
2.37 GAA
Shots Against
775
28.70 Avg
Penalty Kill Percentage
83.6%%
9 GA
Defensive Zone Start
41.5%
Team Info

General ManagerLouis-Philip Lafrance
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,734
Season Tickets0


Roster Info

Pro Team21
Farm Team19
Contract Limit40 / 45
Prospects3


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
1Logan O'Connor23XX100.007665836666698962527363795460580606802731,050,000$
2Reese Johnson0X100.00836886627461725778686075545658060660252800,000$
3Denis Malgin76XXX100.00703886687158685951676667515955060650261750,000$
4Ryan Carpenter51XX100.00675975627263715967646068546861060640321750,000$
5Colton Sceviour24X100.00696786646855705462635671566756060620341750,000$
6Nate Thompson72XX100.00625873577061635574585563548469060600391750,000$
7Adam Sykora77XX100.00515165515451515152515157514848060520191750,000$
8Jordan Dumais (R)79X100.00454545454545454545454545454545060450194750,000$
9Alexander Perevalov (R)78X100.00454545454545454545454545454545060450194750,000$
10Jiri Smejkal0X100.00454545454545454545454545454545060450251750,000$
11Zach Bogosian9X100.00754979718571775740695879687968060690332850,000$
12Radim Simek43X100.007658818282697355406757855460580606903122,250,000$
13Robert Bortuzzo7X100.00706679668266805640685986547159060680342950,000$
14Riley Stillman44X100.007174856776707459407158795458580606802521,350,000$
15Chris Wideman64X100.00646573657268745940725772546359060650332762,500$
16Jordie Benn8X100.00644672627065645640635672567763060630361750,000$
17David Spacek (R)80X100.00454545454545454545454545454545060450204750,000$
18Valtteri Pulli0X100.00454545454545454545454545454545060450251750,000$
Scratches
1Josh Brown40X100.007577826583728056406859835461580606802921,275,000$
TEAM AVERAGE100.0063567060665965545060556652605506060
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
1David Rittich31100.0076666786759377707970896356060760311900,000$
2Arturs Silovs0100.0062636373676267625961635452060630222786,111$
Scratches
TEAM AVERAGE100.006965658071787266696676595406070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Logan O'ConnorManitoba Moose (WPG)LW/RW2718163411804061100289618.00%1362123.0036917671011513148.35%27300001.0912000802
2Reese JohnsonManitoba Moose (WPG)C27102030112915597378244612.82%1160122.2843711630000442057.89%63400001.0002102124
3Ryan CarpenterManitoba Moose (WPG)C/RW271812304205482111317516.22%955420.55571221600003234158.02%61700011.0800000242
4Robert BortuzzoManitoba Moose (WPG)D27719263180543755182712.73%4451919.2546103464000139200%000001.0000000052
5Radim SimekManitoba Moose (WPG)D2751823614046285822328.62%3452219.3628103364011037200%000000.8800000220
6Zach BogosianManitoba Moose (WPG)D2771320460383350142814.00%2352919.604373364011041100%000100.7600000114
7Denis MalginManitoba Moose (WPG)C/LW/RW27910191320182863194714.29%549918.4832510660000231159.42%6900010.7612000111
8Nate ThompsonManitoba Moose (WPG)C/LW272161828035236715382.99%652719.52099660000000154.29%3500000.6800000010
9Colton SceviourManitoba Moose (WPG)C278513-395406076174610.53%743316.0500007000042054.97%45300000.6000100010
10Riley StillmanManitoba Moose (WPG)D2721012412032301681412.50%2236413.5100000000015010%000000.6600000002
11Chris WidemanManitoba Moose (WPG)D27189440322215466.67%2335413.130000000004000%000000.5100000000
12Jordie BennManitoba Moose (WPG)D27099-140181812390%152147.930000000000000%000000.8400000000
13Adam SykoraManitoba Moose (WPG)C/LW27145-5402418256214.00%344816.61000040000270043.18%4400000.2200000000
14Jordan DumaisManitoba Moose (WPG)RW2712336016511139.09%051018.92000155000000037.14%3500000.1200000000
15Alexander PerevalovManitoba Moose (WPG)LW27011-4401967040%048317.9000000000000043.90%4100000.0400000000
16Josh BrownManitoba Moose (WPG)D10000175333300%11818.600002300002000%00000000010000
17David SpacekManitoba Moose (WPG)D27000000000000%0140.520000400000000%10000000000000
18Valtteri PulliManitoba Moose (WPG)D27000-1002120140%52147.930000000000000%00000000000000
19Jiri SmejkalManitoba Moose (WPG)LW27000-120502010%0903.360000130000130024.00%250000000000000
Team Total or Average48789163252501492555452974921449711.88%221752115.45254469168600123533017554.87%222700120.6726212151717
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
1David RittichManitoba Moose (WPG)2718720.9202.28163202627740010.6676270321
Team Total or Average2718720.9202.28163202627740016270321


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 Contrat Signature Date 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 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 SykoraManitoba Moose (WPG)C/LW1909/07/04No172 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Alexander PerevalovManitoba Moose (WPG)LW1904/16/04 3:28:58 AMYes92 Lbs6 ft0NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Arturs SilovsManitoba Moose (WPG)G2203/22/01No203 Lbs6 ft4NoNoN/ANoNo2Pro & Farm786,111$0$0$No786,111$--------No--------Link
Chris WidemanManitoba Moose (WPG)D3301/07/90No181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Link
Colton SceviourManitoba Moose (WPG)C3404/20/89No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
David RittichManitoba Moose (WPG)G3108/19/92No205 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Link
David SpacekManitoba Moose (WPG)D2002/18/03 2:33:20 AMYes174 Lbs6 ft0NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Denis MalginManitoba Moose (WPG)C/LW/RW2601/18/97No182 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Jiri SmejkalManitoba Moose (WPG)LW2508/16/98 5:03:31 AMNo190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Jordan DumaisManitoba Moose (WPG)RW1904/15/04 3:27:32 AMYes65 Lbs5 ft9NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Jordie BennManitoba Moose (WPG)D3607/26/87No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Josh BrownManitoba Moose (WPG)D2901/21/94No220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,275,000$0$0$No1,275,000$--------No--------Link
Logan O'ConnorManitoba Moose (WPG)LW/RW2708/14/96No175 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,050,000$0$0$No1,050,000$1,050,000$-------NoNo-------Link
Nate ThompsonManitoba Moose (WPG)C/LW3910/05/84No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Radim Simek (1 Way Contract)Manitoba Moose (WPG)D3109/20/92No204 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,250,000$2,250,000$1,535,156$No2,250,000$--------No--------Link
Reese JohnsonManitoba Moose (WPG)C2507/10/98No193 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Link
Riley StillmanManitoba Moose (WPG)D2503/09/98No196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,350,000$0$0$No1,350,000$--------No--------Link
Robert BortuzzoManitoba Moose (WPG)D3403/18/89No216 Lbs6 ft4NoNoN/ANoNo2Pro & Farm950,000$0$0$No950,000$--------No--------Link
Ryan CarpenterManitoba Moose (WPG)C/RW3201/18/91No198 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Valtteri PulliManitoba Moose (WPG)D2508/16/98 5:02:30 AMNo190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Zach BogosianManitoba Moose (WPG)D3307/15/90No222 Lbs6 ft2NoNoN/ANoNo2Pro & Farm850,000$0$0$No850,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2127.81184 Lbs6 ft11.90915,410$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Logan O'ConnorReese JohnsonDenis Malgin30122
2Nate ThompsonRyan CarpenterJordan Dumais30122
3Adam SykoraColton SceviourAlexander Perevalov25122
4Alexander PerevalovLogan O'ConnorReese Johnson15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach BogosianRadim Simek30122
2Robert Bortuzzo30122
3Riley StillmanChris Wideman25122
4Jordie BennValtteri Pulli15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Logan O'ConnorReese JohnsonDenis Malgin60122
2Nate ThompsonRyan CarpenterJordan Dumais40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach BogosianRadim Simek60122
2Robert Bortuzzo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Logan O'ConnorReese Johnson60122
2Denis MalginRyan Carpenter40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach BogosianRadim Simek60122
2Robert Bortuzzo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Logan O'Connor60122Zach BogosianRadim Simek60122
2Reese Johnson40122Robert Bortuzzo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan O'ConnorReese Johnson60122
2Denis MalginRyan Carpenter40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach BogosianRadim Simek60122
2Robert Bortuzzo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Logan O'ConnorReese JohnsonDenis MalginZach BogosianRadim Simek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Logan O'ConnorReese JohnsonDenis MalginZach BogosianRadim Simek
Extra Forwards
Normal PowerPlayPenalty Kill
Jiri Smejkal, Colton Sceviour, Adam SykoraJiri Smejkal, Colton SceviourAdam Sykora
Extra Defensemen
Normal PowerPlayPenalty Kill
David Spacek, Riley Stillman, Chris WidemanDavid SpacekRiley Stillman, Chris Wideman
Penalty Shots
Logan O'Connor, Reese Johnson, Denis Malgin, Ryan Carpenter, Colton Sceviour
Goalie
#1 : David Rittich, #2 : Arturs Silovs
Custom OT Lines Forwards
Logan O'Connor, Reese Johnson, Denis Malgin, Ryan Carpenter, Colton Sceviour, Nate Thompson, Nate Thompson, Adam Sykora, Alexander Perevalov, Jordan Dumais, Jiri Smejkal
Custom OT Lines Defensemen
Zach Bogosian, Radim Simek, Robert Bortuzzo, , Riley Stillman


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
1Abbotsford Canucks1000000145-11000000145-10000000000010.500471100372725350275230249142444173133.33%10100.00%048187455.03%49391653.82%24941959.43%731522557185344183
2Bakersfield Condors11000000716000000000001100000071621.0007142100372725331275230249142452316300.00%40100.00%048187455.03%49391653.82%24941959.43%731522557185344183
3Chicago Wolves52300000610-4211000003303120000037-440.4006101601372725310327523024914120441210116318.75%6183.33%048187455.03%49391653.82%24941959.43%731522557185344183
4Coachella Valley Firebirds22000000734110000004221100000031241.000714210037272534727523024914421503610220.00%000%048187455.03%49391653.82%24941959.43%731522557185344183
5Grand Rapids Griffins431000001477211000006422200000083560.7501425390137272531262752302491410641259410330.00%90100.00%048187455.03%49391653.82%24941959.43%731522557185344183
6Iowa Wild30101010131301010000057-22000101086240.6671322350037272539327523024914993214768450.00%7528.57%148187455.03%49391653.82%24941959.43%731522557185344183
7Milwaukee Admirals22000000954110000005231100000043141.00091524003727253582752302491460168316350.00%3166.67%048187455.03%49391653.82%24941959.43%731522557185344183
8Ontario Reign1000010034-11000010034-10000000000010.500369003727253342752302491436710174250.00%50100.00%048187455.03%49391653.82%24941959.43%731522557185344183
9Providence Bruins1010000013-2000000000001010000013-200.00011200372725320275230249143376253133.33%30100.00%048187455.03%49391653.82%24941959.43%731522557185344183
10Rockford IceHogs22000000936110000004221100000051441.00091827003727253662752302491469231152500.00%30100.00%048187455.03%49391653.82%24941959.43%731522557185344183
11San Diego Gulls1010000013-2000000000001010000013-200.000123103727253192752302491417111322300.00%4250.00%048187455.03%49391653.82%24941959.43%731522557185344183
12Texas Stars22000000734110000004131100000032141.000712190037272535627523024914641314414250.00%70100.00%048187455.03%49391653.82%24941959.43%731522557185344183
13Tucson Roadrunners11000000312000000000001100000031221.000369003727253302752302491446112243133.33%10100.00%048187455.03%49391653.82%24941959.43%731522557185344183
14Wilkes Barre Scranton Penguins11000000734110000007340000000000021.0007121900372725329275230249143579204375.00%20100.00%048187455.03%49391653.82%24941959.43%731522557185344183
Total2716701111916427127300101453312159401010463115380.7049116425512372725376227523024914775236151572822530.49%55983.64%148187455.03%49391653.82%24941959.43%731522557185344183
_Since Last GM Reset2716701111916427127300101453312159401010463115380.7049116425512372725376227523024914775236151572822530.49%55983.64%148187455.03%49391653.82%24941959.43%731522557185344183
_Vs Conference241560111079532610630010034259149301010452817350.7297914422312372725366327523024914683218132510722027.78%49981.63%148187455.03%49391653.82%24941959.43%731522557185344183
_Vs Division1611501010634122753000002923696201010341816260.813631161791037272534842752302491448113799332491530.61%35877.14%148187455.03%49391653.82%24941959.43%731522557185344183

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2738W39116425576277523615157212
All Games
GPWLOTWOTL SOWSOLGFGA
2716711119164
Home Games
GPWLOTWOTL SOWSOLGFGA
127301014533
Visitor Games
GPWLOTWOTL SOWSOLGFGA
159410104631
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
822530.49%55983.64%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
275230249143727253
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
48187455.03%49391653.82%24941959.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
731522557185344183


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
4 - 2023-10-1216Manitoba Moose7Bakersfield Condors1AWBoxScore
5 - 2023-10-1325Manitoba Moose4Iowa Wild3AWXXBoxScore
6 - 2023-10-1431Chicago Wolves2Manitoba Moose3BWBoxScore
9 - 2023-10-1756Chicago Wolves1Manitoba Moose0BLBoxScore
10 - 2023-10-1863Manitoba Moose1Chicago Wolves5ALBoxScore
12 - 2023-10-2074Manitoba Moose4Iowa Wild3AWXBoxScore
16 - 2023-10-2492Iowa Wild7Manitoba Moose5BLBoxScore
18 - 2023-10-26107Manitoba Moose5Grand Rapids Griffins1AWBoxScore
20 - 2023-10-28122Texas Stars1Manitoba Moose4BWBoxScore
23 - 2023-10-31133Manitoba Moose5Rockford IceHogs1AWBoxScore
25 - 2023-11-02148Manitoba Moose4Milwaukee Admirals3AWBoxScore
26 - 2023-11-03158Grand Rapids Griffins4Manitoba Moose3BLBoxScore
29 - 2023-11-06177Manitoba Moose3Texas Stars2AWBoxScore
31 - 2023-11-08188Rockford IceHogs2Manitoba Moose4BWBoxScore
32 - 2023-11-09193Manitoba Moose1Chicago Wolves0AWBoxScore
36 - 2023-11-13222Abbotsford Canucks5Manitoba Moose4BLXXBoxScore
38 - 2023-11-15230Manitoba Moose3Grand Rapids Griffins2AWBoxScore
40 - 2023-11-17248Manitoba Moose1Chicago Wolves2ALBoxScore
41 - 2023-11-18256Wilkes Barre Scranton Penguins3Manitoba Moose7BWBoxScore
44 - 2023-11-21270Manitoba Moose1Providence Bruins3ALBoxScore
46 - 2023-11-23288Ontario Reign4Manitoba Moose3BLXBoxScore
48 - 2023-11-25304Manitoba Moose3Coachella Valley Firebirds1AWBoxScore
50 - 2023-11-27319Coachella Valley Firebirds2Manitoba Moose4BWBoxScore
53 - 2023-11-30342Manitoba Moose1San Diego Gulls3ALBoxScore
54 - 2023-12-01349Grand Rapids Griffins0Manitoba Moose3BWBoxScore
59 - 2023-12-06376Manitoba Moose3Tucson Roadrunners1AWBoxScore
60 - 2023-12-07383Milwaukee Admirals2Manitoba Moose5BWBoxScore
63 - 2023-12-10406Manitoba Moose-Syracuse Crunch-
64 - 2023-12-11416Rockford IceHogs-Manitoba Moose-
67 - 2023-12-14438Manitoba Moose-Colorado Eagles-
69 - 2023-12-16446Iowa Wild-Manitoba Moose-
71 - 2023-12-18461Manitoba Moose-Texas Stars-
72 - 2023-12-19472Manitoba Moose-San Jose Barracuda-
74 - 2023-12-21480Henderson Silver Knights-Manitoba Moose-
77 - 2023-12-24508Manitoba Moose-Belleville Senators-
78 - 2023-12-25511Milwaukee Admirals-Manitoba Moose-
82 - 2023-12-29540Hershey Bears-Manitoba Moose-
84 - 2023-12-31552Manitoba Moose-Calgary Wranglers-
86 - 2024-01-02561Manitoba Moose-Hartford Wolf Pack-
87 - 2024-01-03575San Diego Gulls-Manitoba Moose-
90 - 2024-01-06593Manitoba Moose-Toronto Marlies-
92 - 2024-01-08607Bakersfield Condors-Manitoba Moose-
94 - 2024-01-10618Manitoba Moose-Charlotte Checkers-
96 - 2024-01-12624Manitoba Moose-Milwaukee Admirals-
99 - 2024-01-15639Colorado Eagles-Manitoba Moose-
102 - 2024-01-18660Manitoba Moose-Lehigh Valley Phantoms-
104 - 2024-01-20671San Jose Barracuda-Manitoba Moose-
106 - 2024-01-22683Manitoba Moose-Henderson Silver Knights-
110 - 2024-01-26703Calgary Wranglers-Manitoba Moose-
113 - 2024-01-29727Manitoba Moose-Springfield Thunderbirds-
115 - 2024-01-31736Bridgeport Islanders-Manitoba Moose-
119 - 2024-02-04766Rochester Americans-Manitoba Moose-
121 - 2024-02-06780Manitoba Moose-Rockford IceHogs-
124 - 2024-02-09798Bridgeport Islanders-Manitoba Moose-
129 - 2024-02-14828Utica Comets-Manitoba Moose-
131 - 2024-02-16848Manitoba Moose-Ontario Reign-
133 - 2024-02-18862Texas Stars-Manitoba Moose-
137 - 2024-02-22889Iowa Wild-Manitoba Moose-
142 - 2024-02-27919Texas Stars-Manitoba Moose-
144 - 2024-02-29929Manitoba Moose-Iowa Wild-
146 - 2024-03-02945Manitoba Moose-Laval Rocket-
150 - 2024-03-06958Rochester Americans-Manitoba Moose-
153 - 2024-03-09985Cleveland Monsters-Manitoba Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
154 - 2024-03-10994Manitoba Moose-Bakersfield Condors-
160 - 2024-03-161017Tucson Roadrunners-Manitoba Moose-
166 - 2024-03-221042Chicago Wolves-Manitoba Moose-
169 - 2024-03-251057Manitoba Moose-Iowa Wild-
175 - 2024-03-311083Chicago Wolves-Manitoba Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity45003500
Ticket Price350
Attendance52,83639,977
Attendance PCT97.84%95.18%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
22 7734 - 96.68% 154,105$1,849,260$8000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
584,028$ 1,697,361$ 1,472,361$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 584,028$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,390,310$ 116 9,590$ 1,112,440$




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