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Manitoba Moose
GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 4 | GA: 9 | PP%: 33.33% | PK%: 57.14%
GM : Claude Patry | Morale : 48 | Team Overall : 66
Next Games #29 vs Adirondack Red Wings

Game Center
Toronto Marlies
1-2-0, 2pts
6
3 Manitoba Moose
0-2-0, 0pts
Team Stats
L2StreakL2
0-1-0Home Record0-1-0
1-1-0Home Record0-1-0
1-2-0Last 10 Games0-2-0
4.00Goals Per Game2.00
4.67Goals Against Per Game4.50
33.33%Power Play Percentage33.33%
62.50%Penalty Kill Percentage57.14%
Manitoba Moose
0-2-0, 0pts
1
3 Portland Pirates
3-0-0, 6pts
Team Stats
L2StreakW3
0-1-0Home Record2-0-0
0-1-0Home Record1-0-0
0-2-0Last 10 Games3-0-0
2.00Goals Per Game4.67
4.50Goals Against Per Game2.33
33.33%Power Play Percentage33.33%
57.14%Penalty Kill Percentage66.67%
Manitoba Moose
0-2-0, 0pts
Day 4
Adirondack Red Wings
1-1-0, 2pts
Team Stats
L2StreakW1
0-1-0Home Record0-1-0
0-1-0Away Record1-0-0
0-2-0Last 10 Games1-1-0
2.00Goals Per Game3.00
4.50Goals Against Per Game3.00
33.33%Power Play Percentage0.00%
57.14%Penalty Kill Percentage75.00%
Les Harfangs de Beauport
1-1-0, 2pts
Day 5
Manitoba Moose
0-2-0, 0pts
Team Stats
L1StreakL2
0-1-0Home Record0-1-0
1-0-0Away Record0-1-0
1-1-0Last 10 Games0-2-0
4.00Goals Per Game2.00
3.00Goals Against Per Game2.00
37.50%Power Play Percentage33.33%
100.00%Penalty Kill Percentage57.14%
Team Leaders
Goals
Mikael Granlund
1
Assists
Jonas Donskoi
2
Points
Mikael Granlund
2
Patrick MaroonPlus/Minus
Patrick Maroon
1
Wins
Joonas Korpisalo
0
Save Percentage
Joonas Korpisalo
0.849

Team Stats
Goals For
4
2.00 GFG
Shots For
65
32.50 Avg
Power Play Percentage
33.3%
1 GF
Offensive Zone Start
38.3%
Goals Against
9
4.50 GAA
Shots Against
63
31.50 Avg
Penalty Kill Percentage
57.1%%
3 GA
Defensive Zone Start
34.8%
Team Info

General ManagerClaude Patry
CoachKen Hitchcock
DivisionAHL Norris
ConferenceAHL Campbell
Captain
Assistant #1
Assistant #2Jonas Donskoi


Arena Info

Capacity4,500
Attendance0
Season Tickets3,600


Roster Info

Pro Team31
Farm Team18
Contract Limit49 / 250
Prospects0


Filter Tips
PriorityTypeDescription
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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.
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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
1Alexander Wennberg (R)XXX100.002812947274727582807672746544447948700201800,000$
2Patrick MaroonX100.0098982869866687843575756666505061486902631,500,000$
3Mikael Granlund (R)X100.008593657475767676767472676747477951690222900,000$
4Jonas Donskoi (R) (A)X100.009781657475797875657372646855507148690222800,000$
5Travis Konecny (R)XX100.005015897271808079507472696840409048680173900,000$
6Ryan Dzingel (R)X100.006549877475778068686767726550506848670223900,000$
7Jake Evans (R)XXX100.00227987471767577786969686542427348670182650,000$
8Paul ByronXXX100.0091997372499079356970727051515748660253900,000$
9Anthony Beauvillier (R)XXX100.004010957372737375786970676940408448660173700,000$
10Jordan Martinook (R)X100.00681886875807769736160756046467248650223600,000$
11Sven Andrighetto (R)XXX100.00122997470787180706967695043436748650211600,000$
12Michael Ferland (R)X100.007878507083717264476563736744446648640221600,000$
13Dylan DeMelo (R)X100.0091936172777780703572647961474776486902131,300,000$
14Marc MethotX100.00221995884779978327870866461615448680292900,000$
15Tony DeAngelo (R)X100.003919817571858788307776696042428448680192800,000$
16Brendan DillonX100.0079746771816680703569647765454579486702431,000,000$
17John Marino (R)X100.005015907374818380207268755040408348660173700,000$
18Markus Nutivaara (R)X100.005010957372848475207168744040407948660203600,000$
19Eric GrybaX100.006650805983628978356665736254545748650261600,000$
20Mark Friedman (R)X100.003313927471848378257271705041417148650192600,000$
Scratches
1Nathan HortonX100.0093934163846459924072736267676752446902921,500,000$
2Ben SmithX100.006447876978647569346164656753535148640261600,000$
3James NealX100.008557566882599173286368557057576248640274600,000$
4Brian BoyleX100.006148996187587563825656656655554748620301600,000$
5Ryan Murray (R)X100.005528836977817469206967774545457248650214600,000$
6Anthony BiettoX100.007878637182727859355961716446466348640242600,000$
7Mike LundinX100.006516976476718172356561686256564448640301600,000$
8Bob SanguinettiX100.006556937076679564356360646354545748640261750,000$
9Ole Kristian TollefsenX100.00261996277728467326562675665653948610301600,000$
TEAM AVERAGE100.00584081707772807446696770624949674866
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Joonas Korpisalo (R)100.006970728274798581827570454579497002041,500,000$
2Cal Petersen (R)100.00737475727380798180727246467949690201700,000$
Scratches
TEAM AVERAGE100.0071727477748082818174714646794970
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ken Hitchcock7691918896974CAN624975,000$


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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# 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
1Mikael GranlundManitoba Moose (Win)C21120757220150.00%13417.2700001000000045.71%3530001.1600100000
2Jonas DonskoiManitoba Moose (Win)RW2022040625110%03517.820000100000000%012001.1200000000
3Patrick MaroonManitoba Moose (Win)LW2011120123030%0189.070000000002000%001001.1000000000
4Paul ByronManitoba Moose (Win)C/LW/RW2011100015000%1178.5500000000020033.33%320001.1700000000
5Dylan DeMeloManitoba Moose (Win)D2011-220721010%34321.520110100001000%002000.4600000000
6Alexander WennbergManitoba Moose (Win)C/LW/RW2101-3002393511.11%04020.1010111000010046.00%5010000.5000000000
7Anthony BeauvillierManitoba Moose (Win)C/LW/RW21010001340125.00%13417.4800001000000020.00%500000.5700000000
8John MarinoManitoba Moose (Win)D210100006101100.00%24221.360000100000000%003000.4700000000
9Eric GrybaManitoba Moose (Win)D2000-100100000%073.740000000001000%00000000000000
10Michael FerlandManitoba Moose (Win)LW2000100010000%1147.24000000000000100.00%10100000000000
11Brendan DillonManitoba Moose (Win)D2000020305300%32713.900000000003000%00100000000000
12Ryan DzingelManitoba Moose (Win)C2000-100222160%02713.5700000000030046.67%150100000000000
13Jordan MartinookManitoba Moose (Win)LW2000-100223330%02713.580000000003000%10200000000000
14Marc MethotManitoba Moose (Win)D2000-100020000%084.000000000001000%00000000000000
15Sven AndrighettoManitoba Moose (Win)C/LW/RW2000-100026280%02211.160000000000000%20100000000000
16Tony DeAngeloManitoba Moose (Win)D2000-220125020%24120.720000100000000%02100000000000
17Jake EvansManitoba Moose (Win)C/LW/RW2000-300105140%03819.34000010000000100.00%12000000000000
18Mark FriedmanManitoba Moose (Win)D2000000022130%24221.360000100000000%01100000000000
19Travis KonecnyManitoba Moose (Win)LW/RW2000-300713610%03919.6000001000000050.00%23100000000000
20Markus NutivaaraManitoba Moose (Win)D2000000104010%42814.060000000005000%00100000000000
Team Total or Average404610-1519542356521416.15%2059014.771121130000290044.35%1151518000.3400100000
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
1Joonas KorpisaloManitoba Moose (Win)20200.8494.95970085328000020000
2Cal PetersenManitoba Moose (Win)10000.9002.7322001101000002000
Team Total or Average30200.8574.50120009632900022000


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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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 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
Alexander WennbergManitoba Moose (Win)C/LW/RW201994-09-22SUEYes190 Lbs188 CMNoNoDraftNoNo12025-02-15FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------
Anthony BeauvillierManitoba Moose (Win)C/LW/RW171997-06-08CANYes181 Lbs180 CMNoNoDraftNoNo32026-04-08FalseFalsePro & Farm700,000$700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Anthony BiettoManitoba Moose (Win)D241990-07-15USANo234 Lbs188 CMNoNoN/ANoNo22025-02-09FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------
Ben SmithManitoba Moose (Win)RW261988-07-11USANo218 Lbs183 CMNoNoN/ANoNo12026-03-31FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------NHL Link
Bob SanguinettiManitoba Moose (Win)D261988-02-19USANo198 Lbs191 CMNoNoN/ANoNo12024-07-25FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------NHL Link
Brendan DillonManitoba Moose (Win)D241990-11-13CANNo228 Lbs193 CMNoNoN/ANoNo32025-09-01FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------NHL Link
Brian BoyleManitoba Moose (Win)LW301984-12-18USANo258 Lbs198 CMNoNoN/ANoNo12025-09-14FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------NHL Link
Cal PetersenManitoba Moose (Win)G201994-10-19USAYes180 Lbs185 CMNoNoDraftNoNo12025-02-20FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------
Dylan DeMeloManitoba Moose (Win)D211993-05-01CANYes200 Lbs191 CMNoNoTrade2026-04-05NoNo32025-09-01FalseFalsePro & Farm1,300,000$1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------NHL Link
Eric GrybaManitoba Moose (Win)D261988-04-14CANNo237 Lbs193 CMNoNoN/ANoNo12026-03-31FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------NHL Link
Jake EvansManitoba Moose (Win)C/LW/RW181996-07-02CANYes185 Lbs183 CMNoNoDraftNoNo22025-09-22FalseFalsePro & Farm650,000$650,000$0$0$No650,000$--------650,000$--------No--------
James NealManitoba Moose (Win)LW271987-09-03CANNo233 Lbs191 CMNoNoN/ANoNo42026-03-31FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------NHL Link
John MarinoManitoba Moose (Win)D171997-05-21USAYes200 Lbs185 CMNoNoDraftNoNo32026-04-08FalseFalsePro & Farm700,000$700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Jonas DonskoiManitoba Moose (Win)RW221992-04-13FINYes198 Lbs188 CMNoNoN/ANoNo22025-02-09FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------
Joonas KorpisaloManitoba Moose (Win)G201994-04-28FINYes194 Lbs193 CMNoNoDraftNoNo42026-03-31FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Jordan MartinookManitoba Moose (Win)LW221992-07-25CANYes201 Lbs183 CMNoNoDraftNoNo32026-03-31FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Marc MethotManitoba Moose (Win)D291985-06-21CANNo242 Lbs196 CMNoNoN/ANoNo22025-02-09FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------NHL Link
Mark FriedmanManitoba Moose (Win)D191995-12-25CANYes185 Lbs180 CMNoNoDraftNoNo22025-09-23FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------
Markus NutivaaraManitoba Moose (Win)D201994-06-06FINYes191 Lbs183 CMNoNoDraftNoNo32026-04-12FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Michael FerlandManitoba Moose (Win)LW221992-04-20CANYes226 Lbs198 CMNoNoN/ANoNo12025-02-09FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------
Mikael GranlundManitoba Moose (Win)C221992-02-26FINYes197 Lbs185 CMNoNoN/ANoNo22025-02-09FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------
Mike LundinManitoba Moose (Win)D301984-09-24USANo205 Lbs188 CMNoNoN/ANoNo12024-07-25FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------NHL Link
Nathan HortonManitoba Moose (Win)RW291985-05-29CANNo245 Lbs191 CMNoNoN/ANoNo22025-02-09FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------NHL Link
Ole Kristian TollefsenManitoba Moose (Win)D301984-03-29NWENo211 Lbs185 CMNoNoN/ANoNo12024-07-25FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------NHL Link
Patrick MaroonManitoba Moose (Win)LW261988-04-23USANo256 Lbs198 CMNoNoN/ANoNo32025-09-01FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------NHL Link
Paul ByronManitoba Moose (Win)C/LW/RW251989-04-27CANNo185 Lbs185 CMNoNoN/ANoNo32025-09-01FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------NHL Link
Ryan DzingelManitoba Moose (Win)C221992-03-09USAYes197 Lbs191 CMNoNoN/ANoNo32025-09-01FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------NHL Link
Ryan MurrayManitoba Moose (Win)D211993-09-27CANYes209 Lbs188 CMNoNoDraftNoNo42026-03-31FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------
Sven AndrighettoManitoba Moose (Win)C/LW/RW211993-03-21SWIYes187 Lbs178 CMNoNoDraftNoNo12025-02-23FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------
Tony DeAngeloManitoba Moose (Win)D191995-10-24USAYes181 Lbs180 CMNoNoDraftNoNo22025-09-19FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------
Travis KonecnyManitoba Moose (Win)LW/RW171997-03-11CANYes192 Lbs178 CMNoNoDraftNoNo32026-03-26FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3122.97208 Lbs188 CM2.19806,452$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Travis KonecnyAlexander WennbergJake Evans40023
2Anthony BeauvillierMikael GranlundJonas Donskoi39023
3Jordan MartinookRyan DzingelSven Andrighetto20122
4Patrick MaroonPaul ByronMichael Ferland1122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DeMeloTony DeAngelo40131
2John MarinoMark Friedman38131
3Markus NutivaaraBrendan Dillon22131
4Marc MethotEric Gryba0131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Travis KonecnyAlexander WennbergJake Evans60014
2Anthony BeauvillierMikael GranlundJonas Donskoi40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DeMeloTony DeAngelo60041
2John MarinoMark Friedman40041
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan DzingelJordan Martinook60041
2Paul ByronPatrick Maroon40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brendan DillonMarkus Nutivaara60041
2Marc MethotEric Gryba40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Dzingel60041Brendan DillonMarkus Nutivaara60041
2Paul Byron40041Eric GrybaMarc Methot40041
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexander WennbergTravis Konecny60014
2Mikael GranlundAnthony Beauvillier40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DeMeloTony DeAngelo60041
2John MarinoMark Friedman40041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Travis KonecnyAlexander WennbergJake EvansDylan DeMeloTony DeAngelo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Travis KonecnyAlexander WennbergJake EvansDylan DeMeloTony DeAngelo
Extra Forwards
Normal PowerPlayPenalty Kill
Jake Evans, Jonas Donskoi, Patrick MaroonJake Evans, Paul ByronAlexander Wennberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Brendan Dillon, Tony DeAngelo, Marc MethotMarkus NutivaaraDylan DeMelo, Mark Friedman
Penalty Shots
Paul Byron, Travis Konecny, Jordan Martinook, Mikael Granlund, Alexander Wennberg
Goalie
#1 : Joonas Korpisalo, #2 : Cal Petersen


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
1Portland Pirates1010000013-2000000000001010000013-200.0001120004003620232203281318000%4250.00%0174438.64%224055.00%123138.71%412341183618
2Toronto Marlies1010000036-31010000036-30000000000000.00035800040029202322031126243133.33%3166.67%0174438.64%224055.00%123138.71%412341183618
Total2020000049-51010000036-31010000013-200.0004610000400652023220632019423133.33%7357.14%0174438.64%224055.00%123138.71%412341183618
_Since Last GM Reset2020000049-51010000036-31010000013-200.0004610000400652023220632019423133.33%7357.14%0174438.64%224055.00%123138.71%412341183618
_Vs Conference2020000049-51010000036-31010000013-200.0004610000400652023220632019423133.33%7357.14%0174438.64%224055.00%123138.71%412341183618
_Vs Division2020000049-51010000036-31010000013-200.0004610000400652023220632019423133.33%7357.14%0174438.64%224055.00%123138.71%412341183618

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
20L24610656320194200
All Games
GPWLOTWOTL SOWSOLGFGA
202000049
Home Games
GPWLOTWOTL SOWSOLGFGA
101000036
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000013
Last 10 Games
WLOTWOTL SOWSOL
020000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3133.33%7357.14%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
20232200400
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
174438.64%224055.00%123138.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
412341183618


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
14Toronto Marlies6Manitoba Moose3LBox score
214Manitoba Moose1Portland Pirates3LBox score
429Manitoba Moose-Adirondack Red Wings-
Trade Deadline --- Trades can’t be done after this day is simulated!
538Les Harfangs de Beauport-Manitoba Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30001500
Ticket Price4020
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00% 0$0$4500110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,500,000$ 2,500,000$ 975,000$0$
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$ 3 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