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Manitoba Moose
GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 13 | GA: 17 | PP%: 7.14% | PK%: 80.95%
DG: Mirko | Morale : 59 | Moyenne d’équipe : 58
Prochains matchs #8 vs Belleville Senators
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Manitoba Moose
2-4-0, 4pts
Jour 1
Belleville Senators
3-2-2, 8pts
Statistiques d’équipe
N/ASéquenceN/A
1-2-0Fiche domicile2-0-1
1-2-0Fiche visiteur1-2-1
0-0-010 derniers matchs0-0-0
2.17Buts par match 2.86
2.83Buts contre par match 2.86
7.14%Pourcentage en avantage numérique0.00%
80.95%Pourcentage en désavantage numérique80.95%
Iowa Wild
1-4-2, 4pts
Jour 4
Manitoba Moose
2-4-0, 4pts
Statistiques d’équipe
N/ASéquenceN/A
1-1-1Fiche domicile1-2-0
0-3-1Fiche visiteur1-2-0
0-0-010 derniers matchs0-0-0
2.29Buts par match 2.17
3.86Buts contre par match 2.17
18.52%Pourcentage en avantage numérique7.14%
60.00%Pourcentage en désavantage numérique80.95%
Iowa Wild
1-4-2, 4pts
Jour 6
Manitoba Moose
2-4-0, 4pts
Statistiques d’équipe
N/ASéquenceN/A
1-1-1Fiche domicile1-2-0
0-3-1Fiche visiteur1-2-0
0-0-010 derniers matchs0-0-0
2.29Buts par match 2.17
3.86Buts contre par match 2.17
18.52%Pourcentage en avantage numérique7.14%
60.00%Pourcentage en désavantage numérique80.95%
Meneurs d'équipe
Mark LiwiskiButs
Mark Liwiski
3
Ville HeinolaPasses
Ville Heinola
3
Ville HeinolaPoints
Ville Heinola
4
Henri NikkanenPlus/Moins
Henri Nikkanen
7
Collin DeliaVictoires
Collin Delia
1
Thomas MilicPourcentage d’arrêts
Thomas Milic
1

Statistiques d’équipe
Buts pour
13
2.17 GFG
Tirs pour
112
18.67 Avg
Pourcentage en avantage numérique
7.1%
1 GF
Début de zone offensive
35.4%
Buts contre
17
2.83 GAA
Tirs contre
187
31.17 Avg
Pourcentage en désavantage numérique
81.0%%
4 GA
Début de la zone défensive
45.9%
Informations de l'équipe

Directeur généralMirko
EntraîneurBob Nardella
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro33
Équipe Mineure19
Limite contact 52 / 70
Espoirs18


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nils AmanXXX100.006540767676816568506663656960500466602511,350,000$
2Jeff MalottXX99.00675259666770686745656368655851040640291800,000$
3Rutger McGroarty (R)XXX100.006243686366636165446458556250500406002131,400,000$
4Brad Lambert (R)XXX100.005442716363636165446554516150500555902221,400,000$
5Parker FordXXX100.00584366666163606243545854625250051580251800,000$
6Nikita Chibrikov (R)XX100.005741736264615861425754515950500425702211,100,000$
7Mark Liwiski (R)XXX100.00616449626564625640515254575150038560241800,000$
8Henri Nikkanen (R)X100.00654070587161585453515155545250052560242945,000$
9Dmitri RashevskyXX100.00555555555555555540555555555555051550253850,000$
10Ville Heinola (R)X100.00564076767683716740545268687565043680241800,000$
11Kyle CapobiancoX100.00674961666469676840594971647550050650281800,000$
12Hunter Brzustewicz (R)X100.00614176696461586540574768635050044630213975,000$
13Isaak Phillips (R)X100.006249616666656363405047636260500316102411,400,000$
14Dylan AnhornX100.00544465656267656140504560605450046600261840,000$
15Simon LundmarkX100.00544270606566646140474652595250044570251800,000$
16Jimmy OlignyX100.00555555555555555540555555555555039560321800,000$
17Artemi Knyazev (R)X100.00555555555555555540555555555555042560241840,000$
18Tyrel Bauer (R)X100.00606054577265635840434152555150050560232840,000$
Rayé
1Jeffrey VielXX100.00656451666570686544645868635850045630281800,000$
2Fabian Wagner (R)XXX100.00544172655862605942515451595050042560213800,000$
3Kristian ReichelX100.00555555555555555555555555555555050550271800,000$
4Colby Barlow (R)XX100.005555555555555555405555555555550375502021,400,000$
5Nick JonesXXX100.00555555555555555540555555555555045550291800,000$
6Daniel Torgersson (R)XX100.006640705773605753405050535351500415502311,155,000$
7Danny Zhilkin (R)X100.00594173596662605857535250565050033550222975,000$
8Carson Golder (R)XX100.00624070596759565440515052545050039540231800,000$
9Chaz Lucius (R)X100.005440635858525051515050505150500395202211,400,000$
10Dean StewartX100.005555555555555555405555555555550415602721,590,000$
MOYENNE D’ÉQUIPE99.9659486462636360604355535759555204358
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Collin Delia100.00707172656969716870706865580426403111,600,000$
2Domenic DiVincentiis (R)98.0070616267676871686966545050039620213775,000$
Rayé
1Thomas Milic (R)100.0067595961636264606463575050037570222850,000$
2Logan Neaton100.0055555555555555555555555555038510261850,000$
3Oskari Salminen100.0055555555555555555555555555046510261800,000$
MOYENNE D’ÉQUIPE99.606360616162626361636258555404057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Nardella6867636861541USA571900,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Ville HeinolaManitoba Moose (WPG)D61340201263516.67%412120.29101514000018000%000000.6600000010
2Henri NikkanenManitoba Moose (WPG)C613472011582612.50%39916.5300012000000048.89%9000000.8100000001
3Nikita ChibrikovManitoba Moose (WPG)LW/RW621300056112218.18%310417.4100005000030040.74%2700000.5700000001
4Mark LiwiskiManitoba Moose (WPG)C/LW/RW530332011750760.00%08617.3300002000050050.00%1000000.6900000000
5Kyle CapobiancoManitoba Moose (WPG)D6033-1602776020%1112320.55011613000015000%000000.4900000100
6Simon LundmarkManitoba Moose (WPG)D61230201331033.33%68514.290000000003100%000000.7000000100
7Rutger McGroartyManitoba Moose (WPG)C/LW/RW5213-2006974728.57%010320.630001110000111048.86%8800000.5800000010
8Brad LambertManitoba Moose (WPG)C/LW/RW60221001276380%010918.18000110000020054.55%1100000.3700000000
9Isaak PhillipsManitoba Moose (WPG)D6101-2008743325.00%69616.06000111000012000%000000.2100000000
10Jeff MalottManitoba Moose (WPG)LW/RW6101-320101213667.69%313322.260003120001150133.33%1200000.1500000000
11Jimmy OlignyManitoba Moose (WPG)D6011240541010%2427.150000000001000%000000.4700000000
12Dylan AnhornManitoba Moose (WPG)D6011340631120%98614.370000000004000%000000.2300000000
13Hunter BrzustewiczManitoba Moose (WPG)D5011-2007116250%09418.99000411000012000%000000.2100000000
14Artemi KnyazevManitoba Moose (WPG)D5011240500010%1377.490000000000000%000000.5300000000
15Nick JonesManitoba Moose (WPG)C/LW/RW110120001110100.00%01919.1000000000030028.57%700001.0500000000
16Nils AmanManitoba Moose (WPG)C/LW/RW6011-340721153160%013622.720001130002170051.96%17900000.1500000000
17Parker FordManitoba Moose (WPG)C/LW/RW6011-32011974120%110617.82000010000000050.00%800000.1900000000
18Dean StewartManitoba Moose (WPG)D1000-100200000%11515.280000000003000%00000000000000
19Jeffrey VielManitoba Moose (WPG)LW/RW5000-28099115100%410721.5500009000090050.00%200000000000000
20Kristian ReichelManitoba Moose (WPG)C1000000010000%011.80000000000100100.00%10000000000000
21Tyrel BauerManitoba Moose (WPG)D6000-3401100000%1152.660000100000000%00000000000000
22Dmitri RashevskyManitoba Moose (WPG)LW/RW1000100101010%01515.03000000000000100.00%10000000000000
23Danny ZhilkinManitoba Moose (WPG)C1000-300110000%01616.72000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne108132134-4460157125112409411.61%55175916.291122313100031442149.45%45500000.3900000222
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Collin DeliaManitoba Moose (WPG)41300.8673.592170013980110042000
2Domenic DiVincentiisManitoba Moose (WPG)21100.9561.51119003680000023100
3Thomas MilicManitoba Moose (WPG)10001.000022000200000001000
Statistiques d’équipe totales ou en moyenne72400.9142.683580016186011066100


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Artemi KnyazevManitoba Moose (WPG)D2404.01.2001Yes84 Kg180 CMNoNoAssign ManuallyNoNo106.07.2025FalseFalsePro & Farm840,000$749,677$840,000$749,677$0$0$No------------------Lien / Lien NHL
Brad LambertManitoba Moose (WPG)C/LW/RW2219.12.2003Yes83 Kg183 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm1,400,000$1,249,462$1,400,000$1,249,462$0$0$No1,400,000$--------No--------Lien / Lien NHL
Carson GolderManitoba Moose (WPG)LW/RW2329.10.2002Yes89 Kg183 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Chaz LuciusManitoba Moose (WPG)C2202.05.2003Yes84 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm1,400,000$1,249,462$1,400,000$1,249,462$0$0$No------------------Lien / Lien NHL
Colby BarlowManitoba Moose (WPG)LW/RW2014.02.2005Yes88 Kg185 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm1,400,000$1,249,462$1,400,000$1,249,462$0$0$No1,400,000$--------No--------Lien / Lien NHL
Collin Delia (contrat à 1 volet)Manitoba Moose (WPG)G3120.06.1994No91 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm1,600,000$1,433,333$1,600,000$1,433,333$1,600,000$1,433,333$No------------------Lien / Lien NHL
Daniel TorgerssonManitoba Moose (WPG)LW/RW2326.01.2002Yes100 Kg191 CMNoNoAssign ManuallyNoNo106.07.2025FalseFalsePro & Farm1,155,000$1,030,806$1,155,000$1,030,806$0$0$No------------------Lien / Lien NHL
Danny ZhilkinManitoba Moose (WPG)C2219.12.2003Yes89 Kg185 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm975,000$870,161$975,000$870,161$0$0$No975,000$--------No--------Lien / Lien NHL
Dean Stewart (contrat à 1 volet)Manitoba Moose (WPG)D2712.06.1998No91 Kg188 CMNoNoAssign ManuallyNoNo206.07.2025FalseFalsePro & Farm1,590,000$1,424,375$1,590,000$1,424,375$1,590,000$1,424,375$No1,590,000$--------No--------Lien / Lien NHL
Dmitri RashevskyManitoba Moose (WPG)LW/RW2509.10.2000No83 Kg185 CMNoNoAssign ManuallyNoNo318.07.2025FalseFalsePro & Farm850,000$758,602$850,000$758,602$0$0$No850,000$850,000$-------NoNo-------Lien / Lien NHL
Domenic DiVincentiisManitoba Moose (WPG)G2104.03.2004Yes87 Kg188 CMNoNoDraftNoNo307.07.2025FalseFalsePro & Farm775,000$691,667$775,000$691,667$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Dylan AnhornManitoba Moose (WPG)D2621.01.1999No87 Kg183 CMNoNoAssign ManuallyNoNo106.07.2025FalseFalsePro & Farm840,000$749,677$840,000$749,677$0$0$No------------------Lien / Lien NHL
Fabian WagnerManitoba Moose (WPG)C/LW/RW2107.05.2004Yes80 Kg183 CMNoNoAssign ManuallyNoNo307.07.2025FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No800,000$800,000$-------NoNo-------Lien / Lien NHL
Henri NikkanenManitoba Moose (WPG)C2428.04.2001Yes98 Kg196 CMNoNoAssign ManuallyNoNo206.07.2025FalseFalsePro & Farm945,000$843,387$945,000$843,387$0$0$No945,000$--------No--------Lien / Lien NHL
Hunter BrzustewiczManitoba Moose (WPG)D2129.11.2004Yes88 Kg183 CMNoNoAssign ManuallyNoNo307.07.2025FalseFalsePro & Farm975,000$870,161$975,000$870,161$0$0$No975,000$975,000$-------NoNo-------Lien / Lien NHL
Isaak PhillipsManitoba Moose (WPG)D2428.09.2001Yes93 Kg191 CMNoNoTrade28.01.2025NoNo105.06.2024FalseFalsePro & Farm1,400,000$1,249,462$1,400,000$1,249,462$0$0$No------------------Lien / Lien NHL
Jeff MalottManitoba Moose (WPG)LW/RW2907.08.1996No94 Kg196 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Jeffrey VielManitoba Moose (WPG)LW/RW2828.01.1997No93 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Jimmy OlignyManitoba Moose (WPG)D3230.04.1993No91 Kg180 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Kristian ReichelManitoba Moose (WPG)C2711.06.1998No85 Kg183 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Kyle CapobiancoManitoba Moose (WPG)D2813.08.1997No89 Kg185 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Logan NeatonManitoba Moose (WPG)G2607.04.1999No93 Kg193 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm850,000$758,602$850,000$758,602$0$0$No------------------Lien / Lien NHL
Mark LiwiskiManitoba Moose (WPG)C/LW/RW2408.08.2001Yes88 Kg185 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Nick JonesManitoba Moose (WPG)C/LW/RW2902.06.1996No84 Kg180 CMNoNoAssign ManuallyNoNo114.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Nikita ChibrikovManitoba Moose (WPG)LW/RW2216.02.2003Yes78 Kg178 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm1,100,000$981,720$1,100,000$981,720$0$0$No------------------Lien / Lien NHL
Nils AmanManitoba Moose (WPG)C/LW/RW2507.02.2000No81 Kg188 CMNoNoTrade07.11.2024NoNo105.06.2024FalseFalsePro & Farm1,350,000$1,204,839$1,350,000$1,204,839$0$0$No------------------Lien / Lien NHL
Oskari SalminenManitoba Moose (WPG)G2622.09.1999No91 Kg193 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Parker FordManitoba Moose (WPG)C/LW/RW2520.07.2000No82 Kg175 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Rutger McGroartyManitoba Moose (WPG)C/LW/RW2130.03.2004Yes93 Kg185 CMNoNoAssign ManuallyNoNo307.07.2025FalseFalsePro & Farm1,400,000$1,249,462$1,400,000$1,249,462$0$0$No1,400,000$1,400,000$-------NoNo-------Lien / Lien NHL
Simon LundmarkManitoba Moose (WPG)D2508.10.2000No88 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Thomas MilicManitoba Moose (WPG)G2214.04.2003Yes81 Kg183 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm850,000$758,602$850,000$758,602$0$0$No850,000$--------No--------Lien / Lien NHL
Tyrel BauerManitoba Moose (WPG)D2323.03.2002Yes94 Kg191 CMNoNoAssign ManuallyNoNo206.07.2025FalseFalsePro & Farm840,000$749,677$840,000$749,677$0$0$No840,000$--------No--------Lien / Lien NHL
Ville HeinolaManitoba Moose (WPG)D2402.03.2001Yes82 Kg183 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$713,978$800,000$713,978$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.6188 Kg185 CM1.52998,030$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff MalottNils AmanDmitri Rashevsky33122
2Brad LambertRutger McGroartyParker Ford30122
3Nikita ChibrikovHenri NikkanenMark Liwiski25122
4Jeff MalottNils AmanRutger McGroarty12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaKyle Capobianco33122
2Hunter BrzustewiczIsaak Phillips30122
3Dylan AnhornSimon Lundmark25122
4Artemi KnyazevJimmy Oligny12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff MalottNils AmanNikita Chibrikov50122
2Brad LambertRutger McGroartyParker Ford50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaKyle Capobianco50122
2Hunter BrzustewiczIsaak Phillips50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanJeff Malott50122
2Brad LambertRutger McGroarty50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaKyle Capobianco50122
2Hunter BrzustewiczIsaak Phillips50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50122Ville HeinolaKyle Capobianco50122
2Jeff Malott50122Hunter BrzustewiczIsaak Phillips50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanJeff Malott50122
2Henri NikkanenRutger McGroarty50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaKyle Capobianco50122
2Hunter BrzustewiczIsaak Phillips50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff MalottNils AmanRutger McGroartyVille HeinolaKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff MalottNils AmanRutger McGroartyVille HeinolaKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Chibrikov, Henri Nikkanen, Mark LiwiskiNikita Chibrikov, Henri NikkanenMark Liwiski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyrel Bauer, Dylan Anhorn, Simon LundmarkTyrel BauerDylan Anhorn, Simon Lundmark
Tirs de pénalité
Nils Aman, Jeff Malott, Mark Liwiski, Rutger McGroarty, Brad Lambert
Gardien
#1 : Domenic DiVincentiis, #2 : Collin Delia
Lignes d’attaque personnalisées en prolongation
Nils Aman, Jeff Malott, Dmitri Rashevsky, Rutger McGroarty, Brad Lambert, Parker Ford, Parker Ford, Nikita Chibrikov, Henri Nikkanen, Mark Liwiski,
Lignes de défense personnalisées en prolongation
Ville Heinola, Kyle Capobianco, Hunter Brzustewicz, Isaak Phillips, Dylan Anhorn


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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
1Chicago Wolves2020000037-41010000024-21010000013-200.00035810373041315031047151639500.00%7271.43%07916149.07%10720951.20%398545.88%12883152457938
2Grand Rapids Griffins11000000523110000005230000000000021.0005813003730253150310317626300.00%3166.67%07916149.07%10720951.20%398545.88%12883152457938
3Milwaukee Admirals11000000312000000000001100000031221.0003470037301531503102478303133.33%40100.00%07916149.07%10720951.20%398545.88%12883152457938
4Texas Stars2020000027-51010000026-41010000001-100.00024600373031315031085261662300.00%7185.71%07916149.07%10720951.20%398545.88%12883152457938
Total624000001317-431200000912-33120000045-140.333132134103730112315031018755461571417.14%21480.95%07916149.07%10720951.20%398545.88%12883152457938
_Since Last GM Reset624000001317-431200000912-33120000045-140.333132134103730112315031018755461571417.14%21480.95%07916149.07%10720951.20%398545.88%12883152457938
_Vs Conference624000001317-431200000912-33120000045-140.333132134103730112315031018755461571417.14%21480.95%07916149.07%10720951.20%398545.88%12883152457938
_Vs Division3240000058-31120000026-42120000032140.66758130037304631503101093324926116.67%11190.91%07916149.07%10720951.20%398545.88%12883152457938

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64N/A132134112187554615710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000912
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
312000045
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1417.14%21480.95%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
31503103730
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
7916149.07%10720951.20%398545.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12883152457938


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
18Manitoba Moose-Belleville Senators-
427Iowa Wild-Manitoba Moose-
641Iowa Wild-Manitoba Moose-
857Manitoba Moose-Iowa Wild-
1073Milwaukee Admirals-Manitoba Moose-
1289Manitoba Moose-Rockford IceHogs-
15110Chicago Wolves-Manitoba Moose-
17124Manitoba Moose-Syracuse Crunch-
19135Rockford IceHogs-Manitoba Moose-
23164Manitoba Moose-Texas Stars-
25175Manitoba Moose-Grand Rapids Griffins-
27184Grand Rapids Griffins-Manitoba Moose-
30205Iowa Wild-Manitoba Moose-
31208Manitoba Moose-Colorado Eagles-
35239Milwaukee Admirals-Manitoba Moose-
38261Texas Stars-Manitoba Moose-
40279Manitoba Moose-Calgary Wranglers-
41289Manitoba Moose-Bakersfield Condors-
43300Texas Stars-Manitoba Moose-
46325Ontario Reign-Manitoba Moose-
48333Manitoba Moose-Henderson Silver Knights-
51355Manitoba Moose-Springfield Thunderbirds-
52366Milwaukee Admirals-Manitoba Moose-
55382Manitoba Moose-Chicago Wolves-
56396Calgary Wranglers-Manitoba Moose-
59414Manitoba Moose-Bridgeport Islanders-
61427Rochester Americans-Manitoba Moose-
64456San Diego Gulls-Manitoba Moose-
66468Manitoba Moose-Tucson Roadrunners-
68485Manitoba Moose-San Jose Barracuda-
69495Henderson Silver Knights-Manitoba Moose-
73518Manitoba Moose-Charlotte Checkers-
74526Chicago Wolves-Manitoba Moose-
77552Toronto Marlies-Manitoba Moose-
81580Manitoba Moose-Utica Comets-
82585Springfield Thunderbirds-Manitoba Moose-
85608Manitoba Moose-Milwaukee Admirals-
86616Syracuse Crunch-Manitoba Moose-
88640Coachella Valley Firebirds-Manitoba Moose-
90651Manitoba Moose-Toronto Marlies-
94677Laval Rocket-Manitoba Moose-
97705Charlotte Checkers-Manitoba Moose-
99715Manitoba Moose-Hartford Wolf Pack-
103738Tucson Roadrunners-Manitoba Moose-
105756Manitoba Moose-Wilkes-Barre/Scranton Penguins-
107770Manitoba Moose-Iowa Wild-
108775Hartford Wolf Pack-Manitoba Moose-
111793Manitoba Moose-Chicago Wolves-
113806Abbotsford Canucks-Manitoba Moose-
115821Manitoba Moose-Rockford IceHogs-
117836Manitoba Moose-Iowa Wild-
118842Rockford IceHogs-Manitoba Moose-
121868Manitoba Moose-Providence Bruins-
122873Grand Rapids Griffins-Manitoba Moose-
126903Manitoba Moose-San Diego Gulls-
127908San Jose Barracuda-Manitoba Moose-
130934Colorado Eagles-Manitoba Moose-
132948Manitoba Moose-Colorado Eagles-
135967Colorado Eagles-Manitoba Moose-
137983Manitoba Moose-Cleveland Monsters-
139994Manitoba Moose-Texas Stars-
1401005Lehigh Valley Phantoms-Manitoba Moose-
1431029Cleveland Monsters-Manitoba Moose-
1451047Manitoba Moose-Belleville Senators-
1471061Utica Comets-Manitoba Moose-
1481071Manitoba Moose-Syracuse Crunch-
1501083Manitoba Moose-Lehigh Valley Phantoms-
1511094Hershey Bears-Manitoba Moose-
1541113Manitoba Moose-Rochester Americans-
1551126Wilkes-Barre/Scranton Penguins-Manitoba Moose-
1581141Manitoba Moose-Abbotsford Canucks-
1601153Manitoba Moose-Ontario Reign-
1611164Belleville Senators-Manitoba Moose-
1641184Manitoba Moose-Grand Rapids Griffins-
1661195Providence Bruins-Manitoba Moose-
1681214Manitoba Moose-Hershey Bears-
1701226Manitoba Moose-Coachella Valley Firebirds-
1711234Bridgeport Islanders-Manitoba Moose-
1721245Manitoba Moose-Milwaukee Admirals-
1761266Bakersfield Condors-Manitoba Moose-
1811291Manitoba Moose-Laval Rocket-
1831303Iowa Wild-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,974,500$ 2,974,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 166 20,831$ 3,457,946$




Manitoba Moose Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Manitoba Moose Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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 Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA