Connexion

Manitoba Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Dennis Reghenas | Morale : 1 | Moyenne d’équipe : 65
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDennis Reghenas
EntraîneurJohn Tortorella
DivisionWest
ConférenceWestern Conference
CapitaineAaron Ness
Assistant #1Taylor Fedun
Assistant #2Dennis Gilbert


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 62
Espoirs4


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
1Alex NylanderXXX100.00694073807775757744656668667878047700261900,000$
2Josh NorrisX100.00554085808289687655646462677878030690251800,000$
3Rhett GardnerXX100.00694760767778696560655668627676028660281750,000$
4Jake LeschyshynX100.00714081748077686876626163675951033650252600,000$
5Joona Luoto (R)XX100.00624073787979796342585957617676031650261800,000$
6Riley TufteX100.00716056657364656443606066635451025610262600,000$
7Matt CareyX100.00544572657570256350575858507979034590321500,000$
8Clark BishopX100.00624663666366676056575559615651044590281900,000$
9Buddy RobinsonX100.00664661567370706142565558576656032590321775,000$
10Ryan DzingelXXX100.005540726461686756555351595766560335803211,100,000$
11Nick LappinX100.00613891557271655154505450567474034570311500,000$
12Nick Perbix (R)X100.00734581778084737940756776747575036740253800,000$
13Dennis Gilbert (A)X100.00727665728682756940646268677777069700271900,000$
14Cal FooteX100.00686659729084757140676372686154025690252800,000$
15Urho VaakanainenX100.006140847384847568406261646776760486802531,000,000$
16Aaron Ness (C)X100.00554066705970716240595566628686033650331800,000$
17Taylor Fedun (A)X100.00524073636270716240545458607672030610351500,000$
Rayé
1Tobias BjornfotX100.00624073696761616140525562615151020600231950,000$
MOYENNE D’ÉQUIPE100.0063467270747568654860596363706803564
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
1Kevin Mandolese (R)100.0076757775797571707275557676061730233600,000$
2Kevin Poulin100.0070717078707070707070708080057710341500,000$
Rayé
MOYENNE D’ÉQUIPE100.007373747775737170717363787805972
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella9481768896911USA6411,000,000$


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
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


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 Plafond 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
Aaron NessManitoba Moose (WIN)D331990-05-18No183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Alex NylanderManitoba Moose (WIN)C/LW/RW261998-03-02No192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Buddy RobinsonManitoba Moose (WIN)RW321991-09-30No231 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Cal FooteManitoba Moose (WIN)D251998-12-13No224 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------500,000$--------No--------
Clark BishopManitoba Moose (WIN)C281996-03-29No198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Dennis GilbertManitoba Moose (WIN)D271996-10-30No216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Jake LeschyshynManitoba Moose (WIN)C251999-03-10No195 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------500,000$--------No--------
Joona LuotoManitoba Moose (WIN)LW/RW261997-09-26Yes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Josh NorrisManitoba Moose (WIN)C251999-05-05No195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Kevin MandoleseManitoba Moose (WIN)G232000-08-22Yes181 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------500,000$500,000$-------NoNo-------
Kevin PoulinManitoba Moose (WIN)G341990-04-12No205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Matt CareyManitoba Moose (WIN)LW321992-02-28No189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Nick LappinManitoba Moose (WIN)RW311992-11-01No175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Nick PerbixManitoba Moose (WIN)D251998-06-15Yes191 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------500,000$500,000$-------NoNo-------
Rhett GardnerManitoba Moose (WIN)C/LW281996-02-28No209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Riley TufteManitoba Moose (WIN)LW261998-04-10No220 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------500,000$--------No--------
Ryan DzingelManitoba Moose (WIN)C/LW/RW321992-03-09No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------
Taylor FedunManitoba Moose (WIN)D351988-06-04No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Tobias BjornfotManitoba Moose (WIN)D232001-04-06No203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------
Urho VaakanainenManitoba Moose (WIN)D251999-01-01No200 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------500,000$500,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.05200 Lbs6 ft21.45753,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rhett GardnerAlex NylanderJoona Luoto40122
2Riley TufteJosh NorrisBuddy Robinson30122
3Matt CareyJake LeschyshynRyan Dzingel20122
4Alex NylanderClark BishopNick Lappin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixDennis Gilbert40122
2Cal FooteUrho Vaakanainen30122
3Aaron NessTaylor Fedun20122
4Nick PerbixDennis Gilbert10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rhett GardnerAlex NylanderJoona Luoto60122
2Riley TufteJosh NorrisBuddy Robinson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixDennis Gilbert60122
2Cal FooteUrho Vaakanainen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex NylanderJosh Norris60122
2Rhett GardnerJake Leschyshyn40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixDennis Gilbert60122
2Cal FooteUrho Vaakanainen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Nylander60122Nick PerbixDennis Gilbert60122
2Josh Norris40122Cal FooteUrho Vaakanainen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex NylanderJosh Norris60122
2Rhett GardnerJake Leschyshyn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixDennis Gilbert60122
2Cal FooteUrho Vaakanainen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rhett GardnerAlex NylanderJoona LuotoNick PerbixDennis Gilbert
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rhett GardnerAlex NylanderJoona LuotoNick PerbixDennis Gilbert
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Clark Bishop, Matt Carey, Ryan DzingelClark Bishop, Matt CareyRyan Dzingel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Aaron Ness, Taylor Fedun, Cal FooteAaron NessTaylor Fedun, Cal Foote
Tirs de pénalité
Alex Nylander, Josh Norris, Rhett Gardner, Jake Leschyshyn, Joona Luoto
Gardien
#1 : Kevin Mandolese, #2 : Kevin Poulin


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
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
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,507,500$ 1,092,500$ 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$ 7 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