Connexion

Manitoba Moose
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 18 | PP%: 28.57% | PK%: 66.67%
DG: Chris Ferguson | Morale : 25 | Moyenne d’équipe : 63
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Centre de jeu
San Diego Gulls
7-5-0, 14pts
4
FINAL
2 Manitoba Moose
1-4-0, 2pts
Team Stats
OTL1SéquenceL4
3-4-0Fiche domicile0-2-0
4-1-0Fiche domicile1-2-0
6-2-2Derniers 10 matchs1-4-0
2.50Buts par match 2.40
2.33Buts contre par match 3.60
28.57%Pourcentage en avantage numérique28.57%
87.50%Pourcentage en désavantage numérique66.67%
Manitoba Moose
1-4-0, 2pts
3
FINAL
5 San Diego Gulls
7-5-0, 14pts
Team Stats
L4SéquenceOTL1
0-2-0Fiche domicile3-4-0
1-2-0Fiche domicile4-1-0
1-4-0Derniers 10 matchs6-2-2
2.40Buts par match 2.50
3.60Buts contre par match 2.33
28.57%Pourcentage en avantage numérique28.57%
66.67%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Buts
Alexander Barabanov
4
Passes
Alexander Barabanov
4
Points
Alexander Barabanov
8
Plus/Moins
Alexander Barabanov
2
Eric ComrieVictoires
Eric Comrie
1
Spencer MartinPourcentage d’arrêts
Spencer Martin
0.941

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
160
32.00 Avg
Pourcentage en avantage numérique
28.6%
2 GF
Début de zone offensive
39.7%
Buts contre
18
3.60 GAA
Tirs contre
129
25.80 Avg
Pourcentage en désavantage numérique
66.7%%
3 GA
Début de la zone défensive
33.5%
Informations de l'équipe

Directeur généralChris Ferguson
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro35
Équipe Mineure18
Limite contact 53 / 65
Espoirs49


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
1Trent Frederic0XX100.008078687587828480507374747769590877102511,050,000$
2Alexander Barabanov (R)0X100.00694785757687788340807465775952088700294800,000$
3Miles Wood0X100.00725968748083837840706966737971090690284800,000$
4Cole Perfetti (R)0XX100.00654781787784697647736667735650088670222894,167$
5Vasily Podkolzin0X100.00715479778182707250666766725750089650222925,000$
6Axel Jonsson-Fjallby (R)0X100.00694386757981717140666569705650087650255775,000$
7Kole Lind (R)0XX100.00624863736770676746656466685450088620251850,000$
8Trey Fix-Wolansky (R)0X100.00544663715664636844656256675250087590245775,000$
9Gabriel Fortier (R)0XX100.00604469715864636357615661635150088580234781,667$
10Scott Reedy (R)0X100.00604774657269646449595958625250088580242852,500$
11Jiri Kulich (R)0XX100.00594070686157576442626255655050087570196918,333$
12Tyler Madden (R)0XXX100.00534372725364646353596053655150088570243775,000$
13Erik Brannstrom0X100.00695072817786837540756277736959089710241900,000$
14Michael Stone0X100.00685469728385847440656771718777082700332775,000$
15Callan Foote (R)0X100.00706164729183757140666374685952088680251850,000$
16Mark Friedman0X100.00685475747584746940636269686959088660282800,000$
17Jamie Drysdale0X100.00584379767786697140666266695952088650212925,000$
18Nick Blankenburg (R)0X100.00664473757081667040686569705650090650254800,000$
19Justin Barron (R)0X100.00644971747977646940686268685650088640223925,000$
20Christian Wolanin0X100.00604467696367666440655568635750087610282775,000$
21Cam Dineen (R)0X100.00554376726670656840665768665350087610253775,000$
22John Leonard (R)0XXX100.00574472696164636543635957655250087580253775,000$
23Albert Johansson (R)0X100.00564065695961616140575760625050087570233820,000$
24Mattias Norlinder (R)0X100.00594069666262626240615461615150087570232859,167$
Rayé
1Jan Jenik (R)0XX100.00565460705761596247615556625050020560231795,000$
2Michal Teply (R)0X100.00574573646563626242605552605050020560223820,000$
3Noel Gunler (R)0X100.00584567666358555941545353595050020540225862,500$
4Ivan Chekhovich (R)0XX100.00623575775668694754464955466048020540251776,667$
5Alexander Chmelevski (R)0XX100.00503575765265675053465549526048020530241778,333$
6Vasily Ponomarev (R)0X100.00555555555555555555555555555555020520214795,000$
7Emil Andrae (R)0X100.00584068686058575740545460595050020560216903,333$
MOYENNE D’ÉQUIPE100.0062477172687267664463616365575307261
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
1Eric Comrie0100.0084807976807978787981797770088760283800,000$
2Spencer Martin0100.0079787976817673737580747165089730282775,000$
Rayé
1Mike Smith0100.0062717177697172737367719181022710411775,000$
2Nico Daws (R)0100.0073666875727375727371655150022680232850,833$
MOYENNE D’ÉQUIPE100.007574747676757574757572736705572
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Alexander BarabanovManitoba Moose (WPG)LW5448255852651515.38%210120.2301104101160071.43%7114001.5800010101
2Trent FredericManitoba Moose (WPG)C/LW5347229151110317159.68%111322.6110114000031046.56%13185001.2400210000
3Vasily PodkolzinManitoba Moose (WPG)RW5123114105283612.50%19118.2401103000000025.00%1211000.6600011000
4Michael StoneManitoba Moose (WPG)D5022-540297440%411823.760000600006000%015000.3400000000
5Miles WoodManitoba Moose (WPG)LW5202-20068159613.33%29118.26101140000100100.00%360000.4400000001
6Cole PerfettiManitoba Moose (WPG)C/LW5112-20012313497.69%39118.2201114000010037.78%4520000.4400000010
7Erik BrannstromManitoba Moose (WPG)D5112-52011811659.09%611923.890000601115000%026000.3300000000
8Axel Jonsson-FjallbyManitoba Moose (WPG)LW5022-4004710860%27114.2000000011030033.33%943000.5600000000
9Trey Fix-WolanskyManitoba Moose (WPG)RW5011-2555113220%18717.5300004000000033.33%323000.2300001000
10Kole LindManitoba Moose (WPG)C/LW5011-5005512240%16613.2100000000000030.43%2340000.3000000000
11John LeonardManitoba Moose (WPG)LW/RW/D5000-500532430%26913.880000000012000%12000000000000
12Albert JohanssonManitoba Moose (WPG)D5000000000000%010.240000000000000%00000000000000
13Christian WolaninManitoba Moose (WPG)D5000000000000%020.410000000000000%00000000000000
14Gabriel FortierManitoba Moose (WPG)C/LW5000000113000%1367.2300000000020050.00%120000000000000
15Jiri KulichManitoba Moose (WPG)C/LW5000000001000%071.450000000000000%10000000000000
16Cam DineenManitoba Moose (WPG)D5000-200000010%1316.370000000000000%00100000000000
17Justin BarronManitoba Moose (WPG)D5000-220011110%0326.410000000000000%00200000000000
18Mark FriedmanManitoba Moose (WPG)D5000200454320%28917.960000200004000%01300000000000
19Mattias NorlinderManitoba Moose (WPG)D5000000000000%020.470000000001000%00000000000000
20Jamie DrysdaleManitoba Moose (WPG)D5000000301000%15611.380000000000000%00100000000000
21Tyler MaddenManitoba Moose (WPG)C/LW/RW5000000301100%0336.770000000000000%02000000000000
22Nick BlankenburgManitoba Moose (WPG)D5000000441010%15611.380000000000000%00200000000000
23Scott ReedyManitoba Moose (WPG)C5000-120020000%0255.1000000000000050.00%101100000000000
24Callan FooteManitoba Moose (WPG)D50002002510010%38917.960000200004000%04200000000000
Statistiques d’équipe totales ou en moyenne120121830-266335918916059817.50%34148512.382353421233431043.19%2575139000.4000232112
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
1Eric ComrieManitoba Moose (WPG)51400.8723.18264001410953130050000
2Spencer MartinManitoba Moose (WPG)10000.9411.7734001177000005000
Statistiques d’équipe totales ou en moyenne61400.8813.0229800151266013055000


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 Type Salaire actuel Plafond 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
Albert JohanssonManitoba Moose (WPG)D231/4/2001Yes168 Lbs6 ft0NoNoN/ANoNo3Pro & Farm820,000$0$0$No820,000$820,000$-------NoNo-------
Alexander BarabanovManitoba Moose (WPG)LW296/17/1994Yes195 Lbs5 ft10NoNoN/ANoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$------NoNoNo------
Alexander ChmelevskiManitoba Moose (WPG)C/RW246/9/1999Yes180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm778,333$0$0$No------------------
Axel Jonsson-FjallbyManitoba Moose (WPG)LW252/10/1998Yes189 Lbs6 ft1NoNoN/ANoNo5Pro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----Lien NHL
Callan FooteManitoba Moose (WPG)D2512/13/1998Yes220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------Lien
Cam DineenManitoba Moose (WPG)D256/19/1998Yes183 Lbs5 ft11NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Christian WolaninManitoba Moose (WPG)D283/17/1995No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Cole PerfettiManitoba Moose (WPG)C/LW221/1/2002Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------Lien NHL
Emil AndraeManitoba Moose (WPG)D212/23/2002Yes181 Lbs5 ft9NoNoN/ANoNo6Pro & Farm903,333$0$0$No903,333$903,333$903,333$903,333$903,333$----NoNoNoNoNo----
Eric ComrieManitoba Moose (WPG)G287/6/1995No183 Lbs6 ft1NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------Lien NHL
Erik BrannstromManitoba Moose (WPG)D249/2/1999No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien NHL
Gabriel FortierManitoba Moose (WPG)C/LW232/6/2000Yes172 Lbs5 ft10NoNoN/ANoNo4Pro & Farm781,667$0$0$No781,667$781,667$781,667$------NoNoNo------
Ivan ChekhovichManitoba Moose (WPG)C/LW251/4/1999Yes185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm776,667$0$0$No------------------Lien
Jamie DrysdaleManitoba Moose (WPG)D214/8/2002No183 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien NHL
Jan JenikManitoba Moose (WPG)C/RW239/15/2000Yes161 Lbs6 ft1NoNoN/ANoNo1Pro & Farm795,000$0$0$No------------------
Jiri KulichManitoba Moose (WPG)C/LW194/14/2004Yes179 Lbs5 ft11NoNoN/ANoNo6Pro & Farm918,333$0$0$No918,333$918,333$918,333$918,333$918,333$----NoNoNoNoNo----
John LeonardManitoba Moose (WPG)LW/RW/D258/7/1998Yes183 Lbs5 ft11NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien NHL
Justin BarronManitoba Moose (WPG)D2211/15/2001Yes201 Lbs6 ft2NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Kole LindManitoba Moose (WPG)C/LW2510/16/1998Yes179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------
Mark FriedmanManitoba Moose (WPG)D2812/25/1995No185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Mattias NorlinderManitoba Moose (WPG)D234/12/2000Yes185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm859,167$0$0$No859,167$--------No--------
Michael StoneManitoba Moose (WPG)D336/7/1990No210 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Michal TeplyManitoba Moose (WPG)LW225/27/2001Yes187 Lbs6 ft3NoNoN/ANoNo3Pro & Farm820,000$0$0$No820,000$820,000$-------NoNo-------
Mike SmithManitoba Moose (WPG)G413/22/1982No220 Lbs6 ft5NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Miles WoodManitoba Moose (WPG)LW289/13/1995No195 Lbs6 ft2NoNoN/ANoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$------NoNoNo------Lien NHL
Nick BlankenburgManitoba Moose (WPG)D255/12/1998Yes177 Lbs5 ft9NoNoN/ANoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$------NoNoNo------
Nico DawsManitoba Moose (WPG)G2312/22/2000Yes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm850,833$0$0$No850,833$--------No--------
Noel GunlerManitoba Moose (WPG)LW2210/7/2001Yes176 Lbs6 ft2NoNoN/ANoNo5Pro & Farm862,500$0$0$No862,500$862,500$862,500$862,500$-----NoNoNoNo-----
Scott ReedyManitoba Moose (WPG)C244/4/1999Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm852,500$0$0$No852,500$--------No--------
Spencer MartinManitoba Moose (WPG)G286/8/1995 3:16:51 AMNo191 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Trent FredericManitoba Moose (WPG)C/LW252/11/1998No214 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,050,000$0$0$No------------------Lien NHL
Trey Fix-WolanskyManitoba Moose (WPG)RW245/26/1999Yes179 Lbs5 ft7NoNoN/ANoNo5Pro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Tyler MaddenManitoba Moose (WPG)C/LW/RW2411/9/1999Yes152 Lbs5 ft11NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Vasily PodkolzinManitoba Moose (WPG)RW226/24/2001No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien NHL
Vasily PonomarevManitoba Moose (WPG)C217/16/2002 2:46:56 AMYes180 Lbs5 ft10NoNoN/ANoNo4Pro & Farm795,000$0$0$No795,000$795,000$795,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.86187 Lbs6 ft02.74831,643$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovTrent FredericVasily Podkolzin40122
2Miles WoodCole PerfettiTrey Fix-Wolansky30122
3Axel Jonsson-FjallbyKole LindJohn Leonard20122
4Tyler MaddenGabriel FortierTrent Frederic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMichael Stone40122
2Callan FooteMark Friedman30122
3Jamie DrysdaleNick Blankenburg20122
4Justin BarronCam Dineen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovTrent FredericVasily Podkolzin60122
2Miles WoodCole PerfettiTrey Fix-Wolansky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMichael Stone60122
2Callan FooteMark Friedman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericAlexander Barabanov60122
2Miles WoodCole Perfetti40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMichael Stone60122
2Callan FooteMark Friedman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trent Frederic60122Erik BrannstromMichael Stone60122
2Alexander Barabanov40122Callan FooteMark Friedman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericAlexander Barabanov60122
2Miles WoodCole Perfetti40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMichael Stone60122
2Callan FooteMark Friedman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovTrent FredericVasily PodkolzinErik BrannstromMichael Stone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovTrent FredericVasily PodkolzinErik BrannstromMichael Stone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Reedy, Jiri Kulich, Axel Jonsson-FjallbyScott Reedy, Jiri KulichAxel Jonsson-Fjallby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Wolanin, Mattias Norlinder, Albert JohanssonChristian WolaninMattias Norlinder, Albert Johansson
Tirs de pénalité
Trent Frederic, Alexander Barabanov, Miles Wood, Cole Perfetti, Vasily Podkolzin
Gardien
#1 : Eric Comrie, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
Trent Frederic, Alexander Barabanov, Miles Wood, Cole Perfetti, Vasily Podkolzin, Axel Jonsson-Fjallby, Axel Jonsson-Fjallby, Kole Lind, Trey Fix-Wolansky, Gabriel Fortier, Scott Reedy
Lignes de défense personnalisées en prolongation
Erik Brannstrom, Michael Stone, Callan Foote, Mark Friedman, Jamie Drysdale


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
1San Diego Gulls514000001218-62020000039-63120000099020.20012183030345016057465701293463917228.57%9366.67%14310242.16%368641.86%326946.38%11366844410148
Total514000001218-62020000039-63120000099020.20012183030345016057465701293463917228.57%9366.67%14310242.16%368641.86%326946.38%11366844410148
_Since Last GM Reset514000001218-62020000039-63120000099020.20012183030345016057465701293463917228.57%9366.67%14310242.16%368641.86%326946.38%11366844410148
_Vs Conference514000001218-62020000039-63120000099020.20012183030345016057465701293463917228.57%9366.67%14310242.16%368641.86%326946.38%11366844410148

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L412183016012934639130
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000039
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
312000099
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7228.57%9366.67%1
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
57465703450
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
4310242.16%368641.86%326946.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11366844410148


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
12Manitoba Moose5San Diego Gulls1AWSommaire du match
210Manitoba Moose1San Diego Gulls3ALSommaire du match
318San Diego Gulls5Manitoba Moose1BLSommaire du match
426San Diego Gulls4Manitoba Moose2BLSommaire du match
534Manitoba Moose3San Diego Gulls5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3919
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,910,750$ 2,903,250$ 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$ 0 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