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MANITOBA Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Lucas Giguere | Morale : 99 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralLucas Giguere
EntraîneurAlain Nasredine (R)
DivisionGuitard
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure21
Limite contact 35 / 55
Espoirs37


Historique d'équipe

Saison actuelle0-0
Historique122-97-22 (0.506%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Jimmy VeseyXX100.006335936984778868596665716875705599720281900,000$
2Lucas WallmarkX100.006935916872857966846865736671656399710261750,000$
3Justin BaileyX100.005939876389757864616265636771666899690261750,000$
4Jesper BoqvistX100.006735936670878264676365576265647699690221750,000$
5Austin CzarnikXX100.005235956467797566746567616877693699680281750,000$
6Vladislav KamenevXXX100.006935946679687368746861606569667199680252750,000$
7Hudson FaschingX100.005935956284727361636261626171665799670262750,000$
8Jansen HarkinsXX100.005535956574867264756561566367647099670241750,000$
9Quinton HowdenXX100.005437806873454558405054635562546399570291750,000$
10Matt BartkowskiX100.005835956078787458306056644982732999670331750,000$
11Ethan ProwX100.005942846368747963306658595077693699670281750,000$
12Keegan LoweX100.007053725479899452305353554575715499660282750,000$
13Mark AltX100.005837715687807658305956624878735699660291750,000$
Rayé
MOYENNE D’ÉQUIPE100.00613888637777766255626162597267569967
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
1Philippe Desrosiers100.00728381767170727170727171756799670262750,000$
Rayé
MOYENNE D’ÉQUIPE100.0072838176717072717072717175679967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Nasredine (R)72727272717180CAN481400,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Austin CzarnikMANITOBA Moose (WPG)C/RW2812/12/1992No80 Kg175 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Ethan ProwMANITOBA Moose (WPG)D2811/17/1992No82 Kg180 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Hudson FaschingMANITOBA Moose (WPG)RW267/28/1995No93 Kg191 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Jansen HarkinsMANITOBA Moose (WPG)C/LW245/23/1997No83 Kg185 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Jesper BoqvistMANITOBA Moose (WPG)LW2210/30/1998No82 Kg183 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Jimmy VeseyMANITOBA Moose (WPG)LW/RW285/26/1993No92 Kg191 CMNoNoNo1Pro & Farm900,000$771,429$900,000$771,429$0$0$NoLien
Justin BaileyMANITOBA Moose (WPG)RW267/1/1995No97 Kg193 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Keegan LoweMANITOBA Moose (WPG)D283/29/1993No87 Kg188 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Lucas WallmarkMANITOBA Moose (WPG)C269/5/1995No81 Kg183 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Mark AltMANITOBA Moose (WPG)D2910/18/1991No91 Kg193 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Matt BartkowskiMANITOBA Moose (WPG)D336/4/1988No91 Kg185 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Philippe DesrosiersMANITOBA Moose (WPG)G268/16/1995No89 Kg185 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Quinton HowdenMANITOBA Moose (WPG)C/LW291/21/1992No86 Kg188 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No
Vladislav KamenevMANITOBA Moose (WPG)C/LW/RW258/12/1996No88 Kg188 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1427.0087 Kg185 CM1.29760,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin Bailey31122
226122
3Jesper BoqvistAustin Czarnik23122
4Jansen HarkinsVladislav KamenevHudson Fasching20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Jesper Boqvist26122
323122
420122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin Bailey55122
245122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Jesper Boqvist45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin Bailey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin Bailey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Quinton Howden, , Quinton Howden
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , , Justin Bailey
Gardien
#1 : Philippe Desrosiers, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Justin Bailey, Jesper Boqvist, Jesper Boqvist, , , Austin Czarnik, Vladislav Kamenev
Lignes de défense personnalisées en prolongation
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
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$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,065,000$ 1,065,000$ 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$ 12 0$ 0$




MANITOBA Moose Leaders statistiques (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
132034444478810232500582244614.06%554827625.861641803444282483282301256.13%361.90824
23201265566822064041248619906.33%690941929.4411022233238402828662080.00%41.4500
340027335262511754359379222612.26%214710917.77921802722570000311350.60%191.7617
43202522344866880392280186413.52%180536116.76989419222640486301650.88%121.81820
53202082184266416354162156213.32%152497615.5572112184164000020470.21%161.7100

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
1400214147370.9123.642386636014491646786956050.68191

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
Saison régulière
37803926054244272901374020160201121413777401910034132131536010042771511421092178150941401495142612043432411069440141826414956.44%2147266.36%10957232041.25%847197942.80%669147745.29%1870117416306781342671
37803926054244252911344020160201121213874401910034132131536010042571011351095177146941391492143611963432501062438142026315057.03%2137266.20%10955232041.16%847198242.73%671147545.49%1869117416326791340669
3880294501203333359-2640122401102147188-41401721001011861711565333606939109112112032924105695190527362511947218342025426.73%35916554.04%8630169537.17%763238531.99%531148735.71%130574820959011417507
Total Saison régulière24010797011104111185940245120525605124573463110120554106927612477135265118520313216302784764162111203404338133305951011633251599367272935348.42%78630960.69%282542633540.13%2457634638.72%1871443942.15%504430975358225941011848

MANITOBA Moose Leaders statistiques (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