Manitoba Moose

GM : Chris Mauro - INTERIM GM Morale : 66 Team Overall : 57
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Kerby Rychel (R)XX100.00776486737749786134685866254848029610
2Michael LattaX100.00799971717846656269616063255859058600
3Sean BackmanX100.00646172636181866062646155564545054590
4Nicklas JensenXX100.00837699717775805166555163494747054590
5Derek RyanX100.00736399666359585963626063564545049580
6Derek HulakXX100.00776899636879855263594961474545063580
7Corey TroppXX100.00696872736875805164594956466162057580
8Travis MorinX100.00717173647177825468654958484646056580
9Pat CannoneX100.00696973616978835465615258504545039570
10Rob FlickXX100.00757673637670764464514058394545046540
11Zack Stortini (A)X100.00698625618677863965424152396666037530
12Lukas Sedlak (R)X100.00717172687162674156404655454545032520
13Kirill Petrov (R)X100.00737472687438354666573958374444021510
14Nikita NesterovX100.00825579767162806425555455255657064620
15Jay HarrisonX100.00808372698354574125424460416969053590
16Corbin McPhersonX100.00788072658075843725413658344545056580
17Travis EhrhardtX100.00797099627063674725574061384545039570
18Peter Stoykewych (R)X100.00727272677347494025463555334545062530
19Mac BennettX100.00696772626758633625383652344545025510
Scratches
1Scott GomezXX100.00564194657154726874705757618997042630
2Jake DowellXX100.00737373607381884966604359416162048580
3Steve Eminger (A)X100.00757672647642385525635261487273035580
TEAM AVERAGE100.0073717766736471515155485842535404657
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 SP
1Jean-Francois Berube (R)100.0072645965718067748272624545061670
2Troy Grosenick100.0054805968485645564747504444051530
Scratches
TEAM AVERAGE100.006372596760685665656056454505660
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Madden57686652454659CAN411500,000$


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 NamePOS GP 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
Michael LattaManitoba Moose (WPG)C42191635258101171191660011.45%1181319.3682105115100021231152.96%99500000.8600011503
Scott GomezManitoba Moose (WPG)C/LW371319321020101251220010.66%678321.163583412901131503358.32%109400100.8200000331
Sean BackmanManitoba Moose (WPG)RW39171330316046541390012.23%773518.86459351580003985160.61%6600200.8200000122
Kerby RychelManitoba Moose (WPG)LW/RW3111182961605659900012.22%856718.3129112811700011033040.98%12200001.0200000150
Nikita NesterovManitoba Moose (WPG)D40623292420684683007.23%3778419.613710511530001141110.00%000000.7400000212
Derek RyanManitoba Moose (WPG)C411592413402190850017.65%83769.190005110002394048.98%39400001.2700000400
Derek HulakManitoba Moose (WPG)LW/RW4271623-4160374294007.45%369816.63268251590002303039.58%4800000.6600000001
Jake DowellManitoba Moose (WPG)C/LW3971421141403555630011.11%654013.850227170000180150.43%11700000.7800000103
Corey TroppManitoba Moose (WPG)LW/RW428917-2220346298008.16%465015.483361594000041239.22%5100000.5200000030
Steve EmingerManitoba Moose (WPG)D362121410200564021009.52%2944712.43011312000026000.00%000000.6300000001
Travis EhrhardtManitoba Moose (WPG)D39113144200353413007.69%2951313.16033535000159000.00%000000.5500000001
Travis MorinManitoba Moose (WPG)C422911420306848004.17%43418.120113220000201050.93%32200000.6400000010
Peter StoykewychManitoba Moose (WPG)D42191014300421211009.09%223879.2200005000218000.00%000000.5200000000
Jay HarrisonManitoba Moose (WPG)D422792440752244004.55%4482819.73112221540000146000.00%000000.2200000000
Zack StortiniManitoba Moose (WPG)RW424379791511324260015.38%655013.1100009000000067.74%3100000.2500021013
Pat CannoneManitoba Moose (WPG)C37156-860115747002.13%43218.700113210001280054.40%37500000.3700000000
Nicklas JensenManitoba Moose (WPG)LW/RW14246-260111434005.88%322416.051239530000170068.75%1600000.5300000000
Corbin McPhersonManitoba Moose (WPG)D421233435612122004.55%3355613.251011045000069100.00%000000.1100100000
Kirill PetrovManitoba Moose (WPG)RW13022-2608134000.00%11108.5100000000000050.00%600000.3600000000
Lukas SedlakManitoba Moose (WPG)C24011400446000.00%0431.83000370000160046.00%5000000.4600000000
Mac BennettManitoba Moose (WPG)D21101810014330033.33%91718.1800014000019000.00%000000.1200000000
Rob FlickManitoba Moose (WPG)C/LW39011060231117000.00%21624.1700001000000050.00%600000.1200000000
Team Total or Average78612020532590462309079751236009.71%2761060913.50284876310136501118113223953.48%369300300.6100132171617
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
Jean-Francois BerubeManitoba Moose (WPG)3023610.9212.37180143718940110.00003012432
Troy GrosenickManitoba Moose (WPG)123720.9023.3272400404090010.00001230000
Team Total or Average42261330.9152.6425264311113030120.00004242432


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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Corbin McPhersonManitoba Moose (WPG)D281988-09-07No210 Lbs6 ft4NoNo1UFAPro & Farm675,000$285,000$675,000$285,000$Link
Corey TroppManitoba Moose (WPG)LW/RW271989-07-25No185 Lbs6 ft0NoNo3RFAPro & Farm833,333$351,852$833,333$351,852$833,333$833,333$Link
Derek HulakManitoba Moose (WPG)LW/RW271989-09-02No185 Lbs6 ft0NoNo1RFAPro & Farm900,000$380,000$900,000$380,000$Link
Derek RyanManitoba Moose (WPG)C291986-12-29No170 Lbs5 ft11NoNo1UFAPro & Farm675,000$285,000$675,000$285,000$Link
Jake DowellManitoba Moose (WPG)C/LW311985-03-03No200 Lbs6 ft0NoNo1UFAPro & Farm675,000$285,000$675,000$285,000$Link
Jay HarrisonManitoba Moose (WPG)D341982-11-02No220 Lbs6 ft4NoNo1UFAPro & Farm675,000$285,000$675,000$285,000$Link
Jean-Francois BerubeManitoba Moose (WPG)G251991-07-13Yes177 Lbs6 ft1NoNo2RFAPro & Farm950,000$401,111$950,000$401,111$950,000$Link
Kerby RychelManitoba Moose (WPG)LW/RW221994-10-06Yes205 Lbs6 ft1NoNo2ELCPro & Farm863,333$364,518$863,333$364,518$863,333$Link
Kirill PetrovManitoba Moose (WPG)RW261990-04-13Yes198 Lbs6 ft3NoNo1RFAPro & Farm650,000$274,444$650,000$274,444$Link
Lukas SedlakManitoba Moose (WPG)C231993-02-24Yes198 Lbs6 ft0NoNo1RFAPro & Farm675,000$285,000$650,000$274,444$Link
Mac BennettManitoba Moose (WPG)D251991-03-24No182 Lbs6 ft0NoNo1RFAPro & Farm690,000$291,333$690,000$291,333$Link
Michael LattaManitoba Moose (WPG)C251991-05-25No209 Lbs6 ft0NoNo3RFAPro & Farm816,666$344,815$816,666$344,815$816,666$816,666$Link
Nicklas JensenManitoba Moose (WPG)LW/RW231993-03-06No202 Lbs6 ft3NoNo1RFAPro & Farm650,000$274,444$650,000$274,444$Link
Nikita NesterovManitoba Moose (WPG)D231993-03-28No190 Lbs6 ft0NoNo1RFAPro & Farm742,500$313,500$742,500$313,500$Link
Pat CannoneManitoba Moose (WPG)C301986-08-09No192 Lbs5 ft11NoNo1UFAPro & Farm1,000,000$422,222$1,000,000$422,222$Link
Peter StoykewychManitoba Moose (WPG)D241992-07-13Yes190 Lbs6 ft2NoNo2RFAPro & Farm750,000$316,667$750,000$316,667$750,000$Link
Rob FlickManitoba Moose (WPG)C/LW251991-03-28No208 Lbs6 ft2NoNo1RFAPro & Farm675,000$285,000$675,000$285,000$Link
Scott GomezManitoba Moose (WPG)C/LW361979-12-23No200 Lbs5 ft11NoNo2UFAPro & Farm900,000$380,000$900,000$380,000$900,000$Link
Sean BackmanManitoba Moose (WPG)RW301986-04-28No170 Lbs5 ft9NoNo1UFAPro & Farm750,000$316,667$750,000$316,667$Link
Steve EmingerManitoba Moose (WPG)D331983-10-31No207 Lbs6 ft2NoNo1UFAFarm Only675,000$285,000$675,000$285,000$Link
Travis EhrhardtManitoba Moose (WPG)D271989-04-12No198 Lbs5 ft11NoNo1RFAPro & Farm675,000$285,000$675,000$285,000$Link
Travis MorinManitoba Moose (WPG)C321984-01-08No190 Lbs6 ft1NoNo1UFAPro & Farm675,000$285,000$675,000$285,000$Link
Troy GrosenickManitoba Moose (WPG)G271989-08-27No185 Lbs6 ft1NoNo1RFAPro & Farm650,000$274,444$650,000$274,444$Link
Zack StortiniManitoba Moose (WPG)RW311985-09-10No230 Lbs6 ft4NoNo1UFAPro & Farm900,000$380,000$900,000$380,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2427.63196 Lbs6 ft11.33755,035$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelMichael LattaSean Backman40122
2Nicklas JensenDerek RyanDerek Hulak30122
3Corey TroppTravis MorinZack Stortini20122
4Rob FlickPat CannoneKirill Petrov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita NesterovJay Harrison40122
2Corbin McPhersonTravis Ehrhardt30122
3Peter StoykewychMac Bennett20122
4Nikita NesterovJay Harrison10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelMichael LattaSean Backman60122
2Nicklas JensenDerek RyanDerek Hulak40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita NesterovJay Harrison60122
2Corbin McPhersonTravis Ehrhardt40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kerby RychelMichael Latta60122
2Sean BackmanNicklas Jensen40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita NesterovJay Harrison60122
2Corbin McPhersonTravis Ehrhardt40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kerby Rychel60122Nikita NesterovJay Harrison60122
2Michael Latta40122Corbin McPhersonTravis Ehrhardt40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kerby RychelMichael Latta60122
2Sean BackmanNicklas Jensen40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita NesterovJay Harrison60122
2Corbin McPhersonTravis Ehrhardt40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kerby RychelMichael LattaSean BackmanNikita NesterovJay Harrison
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kerby RychelMichael LattaSean BackmanNikita NesterovJay Harrison
Extra Forwards
Normal PowerPlayPenalty Kill
Lukas Sedlak, Travis Morin, Corey TroppLukas Sedlak, Travis MorinCorey Tropp
Extra Defensemen
Normal PowerPlayPenalty Kill
Peter Stoykewych, Mac Bennett, Corbin McPhersonPeter StoykewychMac Bennett, Corbin McPherson
Penalty Shots
Kerby Rychel, Michael Latta, Sean Backman, Nicklas Jensen, Derek Hulak
Goalie
#1 : Troy Grosenick, #2 : Jean-Francois Berube
Custom OT Lines Forwards
Kerby Rychel, Michael Latta, Sean Backman, Nicklas Jensen, Derek Hulak, Derek Ryan, Derek Ryan, Travis Morin, Corey Tropp, Pat Cannone, Rob Flick
Custom OT Lines Defensemen
Nikita Nesterov, Jay Harrison, Corbin McPherson, Travis Ehrhardt, Peter Stoykewych


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
Toronto Marlies43001000141042100100086222000000642110.9171424380054413661234624704631515645469717635.29%23291.30%0845157653.62%784148152.94%35563755.73%998667986328551272
Tucson Roadrunners2110000047-3000000000002110000047-330.50047110054413667946247046315521518441000.00%7357.14%0845157653.62%784148152.94%35563755.73%998667986328551272
Charlotte Checkers4310000017125220000009542110000087190.7501731480054413661304624704631512029409614214.29%20765.00%0845157653.62%784148152.94%35563755.73%998667986328551272
Rockford Icehogs21001000725000000000002100100072550.83371017015441366584624704631551202557700.00%100100.00%0845157653.62%784148152.94%35563755.73%998667986328551272
Cleveland Monsters614010001417-3403010001014-42110000043150.27814253921544136619546247046315237601171481815.56%48589.58%0845157653.62%784148152.94%35563755.73%998667986328551272
Milwaukee Admirals10001000321000000000001000100032120.66734700544136626462470463152813626600.00%8187.50%0845157653.62%784148152.94%35563755.73%998667986328551272
Chicago Wolves3020100057-2201010004401010000013-220.222591400544136610646247046315933630942129.52%15193.33%0845157653.62%784148152.94%35563755.73%998667986328551272
San Antonio Rampage2020000059-4000000000002020000059-400.000510150054413666046247046315751930419222.22%13284.62%0845157653.62%784148152.94%35563755.73%998667986328551272
Bakersfield Condors3300000015962200000010731100000052391.00015264100544136611446247046315833345709111.11%150100.00%0845157653.62%784148152.94%35563755.73%998667986328551272
Iowa Wild841012003017134300010015694110110015114140.583305686015441366263462470463152177072195511121.57%32584.38%1845157653.62%784148152.94%35563755.73%998667986328551272
San Diego Gulls43100000131122110000067-12200000074390.75013263900544136614446247046315103343610125312.00%16287.50%0845157653.62%784148152.94%35563755.73%998667986328551272
Texas Stars3110010010100211000006511000010045-130.333101626005441366112462470463159027337016531.25%13376.92%0845157653.62%784148152.94%35563755.73%998667986328551272
Vs Division998052003227545402100161425440310016133371.3703259910054413663374624704631523882992154449.09%38586.84%0845157653.62%784148152.94%35563755.73%998667986328551272
Vs Conference361612053001199623189602100604812187603200594811580.53711921333223544136612084624704631510973294648981762715.34%1902686.32%1845157653.62%784148152.94%35563755.73%998667986328551272
Since Last GM Reset422013063001371132420106031006854142210703200695910720.571137244381235441366141046247046315130538952810392033316.26%2203185.91%1845157653.62%784148152.94%35563755.73%998667986328551272
Total422013063001371132420106031006854142210703200695910720.571137244381235441366141046247046315130538952810392033316.26%2203185.91%1845157653.62%784148152.94%35563755.73%998667986328551272

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4272L213724438114101305389528103923
All Games
GPWLOTWOTL SOWSOLGFGA
4220136300137113
Home Games
GPWLOTWOTL SOWSOLGFGA
2010631006854
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2210732006959
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2033316.26%2203185.91%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
462470463155441366
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
845157653.62%784148152.94%35563755.73%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
998667986328551272


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
3 - 2016-10-146Manitoba Moose2Iowa Wild3LBoxScore
4 - 2016-10-1518Manitoba Moose6Iowa Wild1WBoxScore
7 - 2016-10-1829Bakersfield Condors3Manitoba Moose5WBoxScore
9 - 2016-10-2032Bakersfield Condors4Manitoba Moose5WBoxScore
11 - 2016-10-2244Manitoba Moose2Toronto Marlies1WBoxScore
12 - 2016-10-2357Manitoba Moose4Toronto Marlies3WBoxScore
17 - 2016-10-2880San Diego Gulls3Manitoba Moose5WBoxScore
18 - 2016-10-2996San Diego Gulls4Manitoba Moose1LBoxScore
23 - 2016-11-03124Cleveland Monsters3Manitoba Moose2LBoxScore
25 - 2016-11-05145Cleveland Monsters4Manitoba Moose2LBoxScore
28 - 2016-11-08156Manitoba Moose2Cleveland Monsters0WBoxScore
31 - 2016-11-11186Manitoba Moose4San Diego Gulls2WBoxScore
32 - 2016-11-12201Manitoba Moose3San Diego Gulls2WBoxScore
36 - 2016-11-16210Manitoba Moose5Bakersfield Condors2WBoxScore
38 - 2016-11-18227Manitoba Moose2Tucson Roadrunners1WBoxScore
39 - 2016-11-19242Manitoba Moose2Tucson Roadrunners6LBoxScore
42 - 2016-11-22248Iowa Wild3Manitoba Moose6WBoxScore
43 - 2016-11-23258Iowa Wild2Manitoba Moose1LXBoxScore
46 - 2016-11-26280Manitoba Moose3Milwaukee Admirals2WXBoxScore
47 - 2016-11-27290Manitoba Moose1Chicago Wolves3LBoxScore
50 - 2016-11-30300Manitoba Moose4Rockford Icehogs0WBoxScore
53 - 2016-12-03315Texas Stars2Manitoba Moose5WBoxScore
54 - 2016-12-04332Texas Stars3Manitoba Moose1LBoxScore
55 - 2016-12-05337Manitoba Moose2Cleveland Monsters3LBoxScore
59 - 2016-12-09359Cleveland Monsters4Manitoba Moose2LBoxScore
60 - 2016-12-10363Cleveland Monsters3Manitoba Moose4WXBoxScore
63 - 2016-12-13383Manitoba Moose3Charlotte Checkers4LBoxScore
64 - 2016-12-14385Manitoba Moose5Charlotte Checkers3WBoxScore
67 - 2016-12-17414Manitoba Moose3Rockford Icehogs2WXBoxScore
68 - 2016-12-18421Manitoba Moose4Iowa Wild3WXBoxScore
69 - 2016-12-19427Manitoba Moose3Iowa Wild4LXBoxScore
80 - 2016-12-30476Charlotte Checkers2Manitoba Moose4WBoxScore
82 - 2017-01-01493Charlotte Checkers3Manitoba Moose5WBoxScore
84 - 2017-01-03510Toronto Marlies4Manitoba Moose5WXBoxScore
85 - 2017-01-04515Toronto Marlies2Manitoba Moose3WBoxScore
88 - 2017-01-07539Iowa Wild0Manitoba Moose4WBoxScore
89 - 2017-01-08544Iowa Wild1Manitoba Moose4WBoxScore
94 - 2017-01-13567Chicago Wolves3Manitoba Moose4WXBoxScore
96 - 2017-01-15587Chicago Wolves1Manitoba Moose0LBoxScore
99 - 2017-01-18605Manitoba Moose4Texas Stars5LXBoxScore
101 - 2017-01-20615Manitoba Moose2San Antonio Rampage5LBoxScore
102 - 2017-01-21629Manitoba Moose3San Antonio Rampage4LBoxScore
105 - 2017-01-24642Manitoba Moose-Texas Stars-
108 - 2017-01-27662Manitoba Moose-Charlotte Checkers-
109 - 2017-01-28670Manitoba Moose-Charlotte Checkers-
115 - 2017-02-03692San Jose Barracuda-Manitoba Moose-
116 - 2017-02-04707San Jose Barracuda-Manitoba Moose-
120 - 2017-02-08720Manitoba Moose-Grand Rapids Griffins-
122 - 2017-02-10726Manitoba Moose-Cleveland Monsters-
124 - 2017-02-12754Manitoba Moose-Cleveland Monsters-
127 - 2017-02-15766Manitoba Moose-Grand Rapids Griffins-
129 - 2017-02-17775Manitoba Moose-Toronto Marlies-
130 - 2017-02-18787Manitoba Moose-Toronto Marlies-
133 - 2017-02-21811Rockford Icehogs-Manitoba Moose-
134 - 2017-02-22815Rockford Icehogs-Manitoba Moose-
137 - 2017-02-25840San Antonio Rampage-Manitoba Moose-
138 - 2017-02-26845San Antonio Rampage-Manitoba Moose-
140 - 2017-02-28853Manitoba Moose-Rockford Icehogs-
143 - 2017-03-03865Manitoba Moose-Rockford Icehogs-
144 - 2017-03-04873Manitoba Moose-Milwaukee Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2017-03-05887Manitoba Moose-Chicago Wolves-
149 - 2017-03-09902Charlotte Checkers-Manitoba Moose-
150 - 2017-03-10909Charlotte Checkers-Manitoba Moose-
152 - 2017-03-12926Toronto Marlies-Manitoba Moose-
154 - 2017-03-14935Toronto Marlies-Manitoba Moose-
157 - 2017-03-17953Rockford Icehogs-Manitoba Moose-
158 - 2017-03-18969Rockford Icehogs-Manitoba Moose-
163 - 2017-03-23990Milwaukee Admirals-Manitoba Moose-
164 - 2017-03-24998Milwaukee Admirals-Manitoba Moose-
168 - 2017-03-281028Manitoba Moose-Bakersfield Condors-
171 - 2017-03-311046Manitoba Moose-San Jose Barracuda-
172 - 2017-04-011060Manitoba Moose-San Jose Barracuda-
175 - 2017-04-041073Grand Rapids Griffins-Manitoba Moose-
176 - 2017-04-051077Grand Rapids Griffins-Manitoba Moose-
178 - 2017-04-071089Tucson Roadrunners-Manitoba Moose-
180 - 2017-04-091108Tucson Roadrunners-Manitoba Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price5025
Attendance3362116500
Attendance PCT84.05%82.50%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
18 2506 - 83.54% 155,970$3,119,390$3000110

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
2,397,083$ 511,333$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
1,505,034$ 0$ 1,216,162$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,807,451$ 76 16,095$ 1,223,220$




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