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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%
DG: Claude Patry | Morale : 48 | Moyenne d’équipe : 66
Prochains matchs #29 vs Adirondack Red Wings

Centre de jeu
Toronto Marlies
1-2-0, 2pts
6
3 Manitoba Moose
0-2-0, 0pts
Team Stats
L2SéquenceL2
0-1-0Fiche domicile0-1-0
1-1-0Fiche domicile0-1-0
1-2-0Derniers 10 matchs0-2-0
4.00Buts par match 2.00
4.67Buts contre par match 4.50
33.33%Pourcentage en avantage numérique33.33%
62.50%Pourcentage en désavantage numérique57.14%
Manitoba Moose
0-2-0, 0pts
1
3 Portland Pirates
3-0-0, 6pts
Team Stats
L2SéquenceW3
0-1-0Fiche domicile2-0-0
0-1-0Fiche domicile1-0-0
0-2-0Derniers 10 matchs3-0-0
2.00Buts par match 4.67
4.50Buts contre par match 2.33
33.33%Pourcentage en avantage numérique33.33%
57.14%Pourcentage en désavantage numérique66.67%
Manitoba Moose
0-2-0, 0pts
Jour 4
Adirondack Red Wings
1-1-0, 2pts
Statistiques d’équipe
L2SéquenceW1
0-1-0Fiche domicile0-1-0
0-1-0Fiche visiteur1-0-0
0-2-010 derniers matchs1-1-0
2.00Buts par match 3.00
4.50Buts contre par match 3.00
33.33%Pourcentage en avantage numérique0.00%
57.14%Pourcentage en désavantage numérique75.00%
Les Harfangs de Beauport
1-1-0, 2pts
Jour 5
Manitoba Moose
0-2-0, 0pts
Statistiques d’équipe
L1SéquenceL2
0-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-1-0
1-1-010 derniers matchs0-2-0
4.00Buts par match 2.00
3.00Buts contre par match 2.00
37.50%Pourcentage en avantage numérique33.33%
100.00%Pourcentage en désavantage numérique57.14%
Meneurs d'équipe
Buts
Mikael Granlund
1
Passes
Jonas Donskoi
2
Points
Mikael Granlund
2
Patrick MaroonPlus/Moins
Patrick Maroon
1
Victoires
Joonas Korpisalo
0
Pourcentage d’arrêts
Joonas Korpisalo
0.849

Statistiques d’équipe
Buts pour
4
2.00 GFG
Tirs pour
65
32.50 Avg
Pourcentage en avantage numérique
33.3%
1 GF
Début de zone offensive
38.3%
Buts contre
9
4.50 GAA
Tirs contre
63
31.50 Avg
Pourcentage en désavantage numérique
57.1%%
3 GA
Début de la zone défensive
34.8%
Informations de l'équipe

Directeur généralClaude Patry
EntraîneurKen Hitchcock
DivisionAHL Norris
ConférenceAHL Campbell
Capitaine
Assistant #1
Assistant #2Jonas Donskoi


Informations de l’aréna

Capacité4,500
Assistance0
Billets de saison3,600


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 250
Espoirs0


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
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$
Rayé
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$
MOYENNE D’ÉQUIPE100.00584081707772807446696770624949674866
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
1Joonas Korpisalo (R)100.006970728274798581827570454579497002041,500,000$
2Cal Petersen (R)100.00737475727380798180727246467949690201700,000$
Rayé
MOYENNE D’ÉQUIPE100.0071727477748082818174714646794970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock7691918896974CAN624975,000$


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
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
Statistiques d’équipe totales ou en moyenne404610-1519542356521416.15%2059014.771121130000290044.35%1151518000.3400100000
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
1Joonas KorpisaloManitoba Moose (Win)20200.8494.95970085328000020000
2Cal PetersenManitoba Moose (Win)10000.9002.7322001101000002000
Statistiques d’équipe totales ou en moyenne30200.8574.50120009632900022000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
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---------------------------Lien NHL
Bob SanguinettiManitoba Moose (Win)D261988-02-19USANo198 Lbs191 CMNoNoN/ANoNo12024-07-25FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien NHL
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-------Lien NHL
Brian BoyleManitoba Moose (Win)LW301984-12-18USANo258 Lbs198 CMNoNoN/ANoNo12025-09-14FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien NHL
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-------Lien NHL
Eric GrybaManitoba Moose (Win)D261988-04-14CANNo237 Lbs193 CMNoNoN/ANoNo12026-03-31FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien NHL
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------Lien NHL
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--------Lien NHL
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---------------------------Lien NHL
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--------Lien NHL
Ole Kristian TollefsenManitoba Moose (Win)D301984-03-29NWENo211 Lbs185 CMNoNoN/ANoNo12024-07-25FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien NHL
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-------Lien NHL
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-------Lien NHL
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-------Lien NHL
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-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.97208 Lbs188 CM2.19806,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Travis KonecnyAlexander WennbergJake Evans40023
2Anthony BeauvillierMikael GranlundJonas Donskoi39023
3Jordan MartinookRyan DzingelSven Andrighetto20122
4Patrick MaroonPaul ByronMichael Ferland1122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMeloTony DeAngelo40131
2John MarinoMark Friedman38131
3Markus NutivaaraBrendan Dillon22131
4Marc MethotEric Gryba0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Travis KonecnyAlexander WennbergJake Evans60014
2Anthony BeauvillierMikael GranlundJonas Donskoi40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMeloTony DeAngelo60041
2John MarinoMark Friedman40041
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DzingelJordan Martinook60041
2Paul ByronPatrick Maroon40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan DillonMarkus Nutivaara60041
2Marc MethotEric Gryba40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Dzingel60041Brendan DillonMarkus Nutivaara60041
2Paul Byron40041Eric GrybaMarc Methot40041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander WennbergTravis Konecny60014
2Mikael GranlundAnthony Beauvillier40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMeloTony DeAngelo60041
2John MarinoMark Friedman40041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis KonecnyAlexander WennbergJake EvansDylan DeMeloTony DeAngelo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis KonecnyAlexander WennbergJake EvansDylan DeMeloTony DeAngelo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Evans, Jonas Donskoi, Patrick MaroonJake Evans, Paul ByronAlexander Wennberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Dillon, Tony DeAngelo, Marc MethotMarkus NutivaaraDylan DeMelo, Mark Friedman
Tirs de pénalité
Paul Byron, Travis Konecny, Jordan Martinook, Mikael Granlund, Alexander Wennberg
Gardien
#1 : Joonas Korpisalo, #2 : Cal Petersen


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
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 pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
20L24610656320194200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
202000049
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000036
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000013
Derniers 10 matchs
WLOTWOTL SOWSOL
020000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3133.33%7357.14%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
20232200400
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
174438.64%224055.00%123138.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
412341183618


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
14Toronto Marlies6Manitoba Moose3LSommaire du match
214Manitoba Moose1Portland Pirates3LSommaire du match
429Manitoba Moose-Adirondack Red Wings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
538Les Harfangs de Beauport-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30001500
Prix des billets4020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00% 0$0$4500110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,500,000$ 2,500,000$ 975,000$0$
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$ 3 0$ 0$




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