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    Manitoba



    W:25 | L:24 | OTL:3 | PTS:53

    Goals For
    69
    Goals Against
    69
    Power Play
    17.5%
    Penalty Kill
    78.3%
    Team Chemistry
    48
    Team Overall
    60
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    Day 101
    Manitoba19h30
    Hamilton
    Day 103
    Manitoba22h30
    Lake Erie
    Day 104
    Iowa20h30
    Manitoba
    Day 107
    Lowell20h30
    Manitoba
    Day 110
    Hersey20h30
    Manitoba
    Day 111
    Lake Erie20h30
    Manitoba
    Day 113
    Manitoba19h30
    Binghamton
    Day 114
    Manitoba22h00
    Peroria
    Day 116
    Manitoba19h30
    Bridgeport
    Day 118
    Portland20h30
    Manitoba
    Day 120
    Worchester20h30
    Manitoba
    Day 123
    Manitoba21h30
    Hersey
    Day 124
    Lake Erie20h30
    Manitoba
    Day 127
    Manitoba20h30
    Hershey
    Day 128
    Syracuse20h30
    Manitoba
    Day 132
    Syracuse20h30
    Manitoba
    Day 133
    Manitoba21h30
    Springfield
    Day 136
    Farm Team 3220h30
    Manitoba
    Day 139
    Rockford Icehogs20h30
    Manitoba
    Day 141
    Manitoba20h30
    Milwaukee
    Day 142
    Rockford Icehogs20h30
    Manitoba
    Day 145
    Manitoba21h30
    Hersey
    Day 146
    Hartford20h30
    Manitoba
    Day 150
    Iowa20h30
    Manitoba
    Day 151
    Manitoba20h30
    Rockford Icehogs
    Day 152
    Manitoba21h30
    Springfield
    Day 153
    Manitoba22h00
    Manchester
    Day 155
    Wilkes Barre20h30
    Manitoba
    Day 157
    Manitoba20h30
    Milwaukee
    Day 158
    Manitoba22h00
    Manchester
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Dominik Simon0C/LW/RW100.0068358069707866686268656867676455696323925,000$/3yrs
    Kevin Roy0LW100.0060358367638262665061706568696660696224925,000$/1yrs
    Reid Boucher0LW/RW100.0058358466697860655163665766696659696024715,000$/9yrs
    Marko Dano0C/LW/RW100.0068357864756961635261646364676678696022850,000$/2yrs
    Peter Cehlarik0LW/RW100.0056358456818253565357575757656363695622925,000$/2yrs
    Tyler Graovac0C/LW/RW100.0062357957916862556356545758696547695624625,000$/1yrs
    Colby Cave0C100.0062358452777851526452525452676443665422
    Jake Dotchin0D100.0079478065857961653067636964676448666523812,000$/2yrs
    Andreas Englund0D100.0086358461798378593058516352636276696321925,000$/2yrs
    Ryan Murphy0D100.0058358566698360653066656465696582696124787,000$/1yrs
    Zach Trotman0D100.0054358461877381593058576152756841236127650,000$/2yrs
    Scratches
    TEAM AVERAGE100.00653682627778636147616062606865596460
    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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
    Scratches
    TEAM AVERAGE0.000000000000000000
    Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
    General Manager
    Player Stats
    Filter Tips
    PriorityTypeDescription
    1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
    2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
    3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
    4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
    5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
    6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
    7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
    8?Wildcard for a single, non-space character.
    8*Wildcard for zero or more non-space characters.
    9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
    10textAny text entered in the filter will match text found within the column
    Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
    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
    Salary
    Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
    Andreas Englund D21925,000$925,000$ 925,000$
    Colby Cave C220$0$
    Dominik Simon C/LW/RW23925,000$925,000$ 925,000$ 925,000$
    Jake Dotchin D23812,000$812,000$ 812,000$
    Kevin Roy LW24925,000$925,000$
    Marko Dano C/LW/RW22850,000$850,000$ 850,000$
    Peter Cehlarik LW/RW22925,000$925,000$ 925,000$
    Reid Boucher LW/RW24715,000$715,000$ 715,000$ 715,000$ 715,000$ 715,000$ 715,000$ 715,000$ 715,000$
    Ryan Murphy D24787,000$787,000$
    Tyler Graovac C/LW/RW24625,000$625,000$
    Zach Trotman D27650,000$650,000$ 650,000$

    Lines
    Forward Lines
    Defensive Pairings
    1st Power Play Unit
    2nd Power Play Unit
    Goalies
    Team Stats
    Filter Tips
    PriorityTypeDescription
    1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
    2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
    3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
    4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
    5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
    6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
    7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
    8?Wildcard for a single, non-space character.
    8*Wildcard for zero or more non-space characters.
    9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
    10textAny text entered in the filter will match text found within the column
    VS Team GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
    Providence1010000024-200.0002461072632519109243295221301155120.00%3233.33%032265649.09%32965250.46%32966949.18%1264917127034960930433.3%10.5%69.2%79.8FUN
    Portland3200001052361.00058130172632532109243295224316262011327.27%8275.00%032265649.09%32965250.46%32966949.18%12649171270349609304100.0%15.6%95.3%111.0LUCKY
    Iowa3110100043140.66748120172632545109243295223516892513215.38%12283.33%032265649.09%32965250.46%32966949.18%1264917127034960930466.7%8.9%91.4%100.3Unlucky
    Milwaukee3120000045-120.33348120072632530109243295223181232710110.00%10460.00%032265649.09%32965250.46%32966949.18%1264917127034960930475.0%13.3%83.9%97.2FUN
    Grand Rapids4300010096370.875916250172632560109243295224113761427725.93%14471.43%032265649.09%32965250.46%32966949.18%1264917127034960930450.0%15.0%85.4%100.4FUN
    Chicago3110001032140.6673470172632543109243295223210311811218.18%13284.62%032265649.09%32965250.46%32966949.18%12649171270349609304100.0%7.0%93.8%100.7DULL
    Lake Erie1010000001-100.00000000726325610924329522103134300.00%4175.00%032265649.09%32965250.46%32966949.18%12649171270349609304nan%0.0%90.0%90.0Unlucky
    Toronto2020000002-200.0000000072632527109243295221762411900.00%7271.43%032265649.09%32965250.46%32966949.18%12649171270349609304nan%0.0%88.2%88.2Unlucky
    Hersey3120000036-320.3333690172632533109243295223415267158112.50%11281.82%132265649.09%32965250.46%32966949.18%1264917127034960930433.3%9.1%82.4%91.4FUN
    Lowell1010000001-100.000000007263252110924329522104103200.00%50100.00%032265649.09%32965250.46%32966949.18%126491712703496093040.0%0.0%90.0%90.0Unlucky
    Rockford Icehogs1010000001-100.000000007263251010924329522146788600.00%4175.00%032265649.09%32965250.46%32966949.18%12649171270349609304nan%0.0%92.9%92.9DULL
    Albany1100000021121.000246007263251310924329522122335200.00%40100.00%032265649.09%32965250.46%32966949.18%1264917127034960930466.7%15.4%91.7%107.1LUCKY
    Quad City5130010058-330.300510150072632550109243295226023154342328.70%17382.35%032265649.09%32965250.46%32966949.18%1264917127034960930437.5%10.0%86.7%96.7FUN
    Rochester1000100010121.000123017263251610924329522154772300.00%60100.00%032265649.09%32965250.46%32966949.18%12649171270349609304100.0%6.3%100.0%106.3DULL
    Manchester2020000002-200.00000000726325161092432952232511511500.00%10190.00%032265649.09%32965250.46%32966949.18%126491712703496093040.0%0.0%93.8%93.8DULL
    Philadelphie1010000012-100.0001230072632591092432952213358104125.00%4175.00%032265649.09%32965250.46%32966949.18%126491712703496093040.0%11.1%84.6%95.7FUN
    Norfolk1100000010121.0001230172632591092432952211555116116.67%50100.00%032265649.09%32965250.46%32966949.18%12649171270349609304nan%11.1%100.0%111.1LUCKY
    Springfield2200000052341.0005914007263253110924329522208482116425.00%9188.89%132265649.09%32965250.46%32966949.18%1264917127034960930450.0%16.1%90.0%106.1FUN
    Worchester3200010053250.8335101501726325351092432952240221111816318.75%13192.31%132265649.09%32965250.46%32966949.18%1264917127034960930450.0%14.3%92.5%106.8LUCKY
    Bridgeport1010000001-100.0000000072632591092432952214464400.00%4175.00%032265649.09%32965250.46%32966949.18%12649171270349609304nan%0.0%92.9%92.9DULL
    Syracuse2020000024-200.000246007263253310924329522298142115240.00%6433.33%032265649.09%32965250.46%32966949.18%12649171270349609304nan%6.1%86.2%92.3Unlucky
    Rochester1100000021121.0002460072632511109243295221761655120.00%3166.67%032265649.09%32965250.46%32966949.18%12649171270349609304100.0%18.2%94.1%112.3LUCKY
    Houston43100000116560.750112132017263256710924329522542320622281035.71%18572.22%032265649.09%32965250.46%32966949.18%1264917127034960930450.0%16.4%88.9%105.3FUN
    Peroria3120000046-220.333461000726325331092432952233946182428.33%8362.50%032265649.09%32965250.46%32966949.18%1264917127034960930440.0%12.1%81.8%93.9FUN
    _Vs Conference3917170131057552410.52657106163067263254811092432952247617514942481953718.97%1443476.39%332265649.09%32965250.46%32966949.18%1264917127034960930448.8%11.9%88.4%100.3FUN
    _Since Last GM Reset5221240232069690530.51069128197197263256581092432952263021918153222464317.48%1984378.28%332265649.09%32965250.46%32966949.18%1264917127034960930450.0%10.5%89.0%99.5FUN
    Total5221240232069690530.51069128197197263256581092432952263021918153222464317.48%1984378.28%332265649.09%32965250.46%32966949.18%1264917127034960930450.0%10.5%89.0%99.5FUN

    Puck Time
    Offensive Zone 24
    Neutral Zone 11
    Defensive Zone 24
    Puck Time
    Offensive Zone Start 656
    Neutral Zone Start 669
    Defensive Zone Start 652
    Puck Time
    With Puck 30
    Without Puck 30
    Faceoffs
    Faceoffs Won 980
    Faceoffs Lost 997
    Team Average Shots after League Average Shots after
    1st Period 2.19.57
    2nd Period 6.820.31
    3rd Period 12.430.68
    Overtime 12.931.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.10.64
    2nd Period 0.61.65
    3rd Period 1.32.67
    Overtime 1.32.83
    Even Strenght Goal 22
    PP Goal 43
    PK Goal 3
    Empty Net Goal 1
    Home Away
    Win 1213
    Lost 1113
    Overtime Lost 30
    PP Attempt 246
    PP Goal 43
    PK Attempt 198
    PK Goal Against 43
    Home
    Shots For 12.7
    Shots Against 12.1
    Goals For 1.3
    Goals Against 1.3
    Hits 6.2
    Shots Blocked 4.2
    Pim 34.9
    Schedule
    DateMatchup Result Detail
    2018-09-26ManitobaManitoba@ManitobaHerseyManitoba1,Hersey3RECAP
    2018-09-27ManitobaHersey@ManitobaManitobaHersey0,Manitoba1RECAP
    2018-09-30ManitobaIowa@ManitobaManitobaIowa2,Manitoba3 (OT)RECAP
    2018-10-01ManitobaManitoba@ManitobaQuad CityManitoba1,Quad City2RECAP
    2018-10-03ManitobaManchester@ManitobaManitobaManchester1,Manitoba0RECAP
    2018-10-05ManitobaManitoba@ManitobaLake ErieManitoba0,Lake Erie1RECAP
    2018-10-06ManitobaQuad City@ManitobaManitobaQuad City2,Manitoba1 (OT)RECAP
    2018-10-09ManitobaManitoba@ManitobaChicagoManitoba0,Chicago1RECAP
    2018-10-11ManitobaManitoba@ManitobaPortlandManitoba2,Portland1RECAP
    2018-10-12ManitobaWorchester@ManitobaManitobaWorchester1,Manitoba0 (OT)RECAP
    2018-10-14ManitobaHouston@ManitobaManitobaHouston1,Manitoba0RECAP
    2018-10-19ManitobaMilwaukee@ManitobaManitobaMilwaukee1,Manitoba0RECAP
    2018-10-21ManitobaManitoba@ManitobaWorchesterManitoba1,Worchester0RECAP
    2018-10-23ManitobaMilwaukee@ManitobaManitobaMilwaukee3,Manitoba2RECAP
    2018-10-25ManitobaManitoba@ManitobaSyracuseManitoba1,Syracuse2RECAP
    2018-10-26ManitobaSpringfield@ManitobaManitobaSpringfield1,Manitoba3RECAP
    2018-10-29ManitobaManitoba@ManitobaLowellManitoba0,Lowell1RECAP
    2018-10-31ManitobaManitoba@ManitobaIowaManitoba1,Iowa0RECAP
    2018-11-01ManitobaManchester@ManitobaManitobaManchester1,Manitoba0RECAP
    2018-11-03ManitobaSpringfield@ManitobaManitobaSpringfield1,Manitoba2RECAP
    2018-11-05ManitobaManitoba@ManitobaWorchesterManitoba4,Worchester2RECAP
    2018-11-07ManitobaPeroria@ManitobaManitobaPeroria1,Manitoba0RECAP
    2018-11-10ManitobaManitoba@ManitobaGrand RapidsManitoba3,Grand Rapids2RECAP
    2018-11-12ManitobaToronto@ManitobaManitobaToronto1,Manitoba0RECAP
    2018-11-13ManitobaMilwaukee@ManitobaManitobaMilwaukee1,Manitoba2RECAP
    2018-11-15ManitobaManitoba@ManitobaPeroriaManitoba4,Peroria2RECAP
    2018-11-17ManitobaManitoba@ManitobaHoustonManitoba4,Houston2RECAP
    2018-11-19ManitobaAlbany@ManitobaManitobaAlbany1,Manitoba2RECAP
    2018-11-21ManitobaManitoba@ManitobaRochesterManitoba2,Rochester1RECAP
    2018-11-22ManitobaManitoba@ManitobaIowaManitoba0,Iowa1RECAP
    2018-11-24ManitobaToronto@ManitobaManitobaToronto1,Manitoba0RECAP
    2018-11-26ManitobaManitoba@ManitobaPhiladelphieManitoba1,Philadelphie2RECAP
    2018-11-28ManitobaManitoba@ManitobaQuad CityManitoba0,Quad City2RECAP
    2018-11-29ManitobaChicago@ManitobaManitobaChicago1,Manitoba2 (SO)RECAP
    2018-12-02ManitobaManitoba@ManitobaPortlandManitoba2,Portland1 (SO)RECAP
    2018-12-04ManitobaPeroria@ManitobaManitobaPeroria3,Manitoba0RECAP
    2018-12-05ManitobaPortland@ManitobaManitobaPortland0,Manitoba1RECAP
    2018-12-07ManitobaManitoba@ManitobaQuad CityManitoba0,Quad City1RECAP
    2018-12-09ManitobaQuad City@ManitobaManitobaQuad City1,Manitoba3RECAP
    2018-12-10ManitobaManitoba@ManitobaRockford IcehogsManitoba0,Rockford Icehogs1RECAP
    2018-12-13ManitobaManitoba@ManitobaChicagoManitoba1,Chicago0RECAP
    2018-12-14ManitobaProvidence@ManitobaManitobaProvidence4,Manitoba2RECAP
    2018-12-16ManitobaManitoba@ManitobaSyracuseManitoba1,Syracuse2RECAP
    2018-12-18ManitobaHersey@ManitobaManitobaHersey3,Manitoba1RECAP
    2018-12-20ManitobaManitoba@ManitobaGrand RapidsManitoba4,Grand Rapids2RECAP
    2018-12-22ManitobaGrand Rapids@ManitobaManitobaGrand Rapids2,Manitoba1 (OT)RECAP
    2018-12-23ManitobaManitoba@ManitobaRochesterManitoba1,Rochester0 (OT)RECAP
    2018-12-27ManitobaGrand Rapids@ManitobaManitobaGrand Rapids0,Manitoba1RECAP
    2018-12-29ManitobaManitoba@ManitobaHoustonManitoba4,Houston3RECAP
    2018-12-30ManitobaHouston@ManitobaManitobaHouston0,Manitoba3RECAP
    2019-01-01ManitobaManitoba@ManitobaBridgeportManitoba0,Bridgeport1RECAP
    2019-01-02ManitobaNorfolk@ManitobaManitobaNorfolk0,Manitoba1RECAP
    2019-01-04ManitobaManitoba@ManitobaHamilton
    2019-01-06ManitobaManitoba@ManitobaLake Erie
    2019-01-07ManitobaIowa@ManitobaManitoba
    2019-01-10ManitobaLowell@ManitobaManitoba
    2019-01-13ManitobaHersey@ManitobaManitoba
    2019-01-14ManitobaLake Erie@ManitobaManitoba
    2019-01-16ManitobaManitoba@ManitobaBinghamton
    2019-01-17ManitobaManitoba@ManitobaPeroria
    2019-01-19ManitobaManitoba@ManitobaBridgeport
    2019-01-21ManitobaPortland@ManitobaManitoba
    2019-01-23ManitobaWorchester@ManitobaManitoba
    2019-01-26ManitobaManitoba@ManitobaHersey
    2019-01-27ManitobaLake Erie@ManitobaManitoba
    2019-01-30ManitobaManitoba@ManitobaHershey
    2019-01-31ManitobaSyracuse@ManitobaManitoba
    2019-02-04ManitobaSyracuse@ManitobaManitoba
    2019-02-05ManitobaManitoba@ManitobaSpringfield
    2019-02-08ManitobaFarm Team 32@ManitobaManitoba
    2019-02-11ManitobaRockford Icehogs@ManitobaManitoba
    2019-02-13ManitobaManitoba@ManitobaMilwaukee
    2019-02-14ManitobaRockford Icehogs@ManitobaManitoba
    2019-02-17ManitobaManitoba@ManitobaHersey
    2019-02-18ManitobaHartford@ManitobaManitoba
    2019-02-22ManitobaIowa@ManitobaManitoba
    2019-02-23ManitobaManitoba@ManitobaRockford Icehogs
    2019-02-24ManitobaManitoba@ManitobaSpringfield
    2019-02-25ManitobaManitoba@ManitobaManchester
    2019-02-27ManitobaWilkes Barre@ManitobaManitoba
    2019-03-01ManitobaManitoba@ManitobaMilwaukee
    2019-03-02ManitobaManitoba@ManitobaManchester

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    8,139,000$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityManitoba
    Capacity3000
    Season Ticket Holders10%

    Arena Capacity - Ticket Price Attendance - %
    Arena Capacity20001000
    Ticket Price35$15$$$$
    Attendance00
    Attendance PCT0.00%0.00%0.00%0.00%0.00%

    Income
    Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
    15 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    8,139,000$ 8,139,000$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    5,116,451$ 0$ 5,116,451$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 51,189$ 3,071,340$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    3,071,340$ 0$ 0$ 0$

    Sponsors
    TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
    Depth Chart RookieInjured Cold Streak Hot Streak
    Left WingCenterRight Wing

    Defense #1Defense #2Goalie

    Transactions



    Injuries
    No Injury or Suspension.

    GAME CENTER

    Manitoba25-24-3, 53pts01Final
    Bridgeport28-10-13, 69pts

    Norfolk31-17-4, 66pts01Final
    Manitoba25-24-3, 53pts

    Norfolk31-17-4, 66ptsThu, Jan 03
    Manitoba25-24-3, 53pts

    Hersey29-16-8, 66ptsFri, Sep 28
    Manitoba25-24-3, 53pts

    Iowa20-22-8, 48ptsMon, Oct 01
    Manitoba25-24-3, 53pts

    TRANSACTIONS



     
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    Tuesday, Jan. 08
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    Team Information
    Manitoba
    Manitoba
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