Connexion

Cabaret Lady Mary Ann
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d’équipe : 53
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPierre-Luc Chartrand
DivisionWest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs18


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Colton SceviourXX100.0072847774725071544554528057727205064N0332700,000$
2Nicholas MerkleyX100.0071439777685770655562557424474705064N0254660,000$
3Fredrik Olofsson (R)X100.00674077697476646640626164665150050630263600,000$
4Joseph LaBateX100.00625655606867676141575760596154050600292600,000$
5Lukas RousekX100.00544468705864636243625758635250050600233830,000$
6Lucas Edmonds (R)XX100.00604070695961616141585960625050050600213861,667$
7Joachim BlichfeldXX100.00716988656958585949536063604444050590243620,000$
8Jack DuganX100.00594764676364646141605558615350050590242620,000$
9Josh DunneX100.00615458606963636358585952615250050590232925,000$
10Adam MascherinX100.0069728559725352594852596461444405058N0244620,000$
11Leevi Aaltonen (R)X100.0011111111111111105060213560,000$
12Nikola Pasic (R)X100.0011111111111111105060213560,000$
13Ethan ProwX100.00544473716070706640655769656457050640293600,000$
14Leon GawankeX100.00594866726364646740636468685250050640231796,667$
15Nick Cicek (R)X100.00594762626762605940545356585150050580223600,000$
16Joseph DuszakX100.00616271666255565525534057394444050560252800,000$
17Nick BokaX100.00607537607538374325294254424444050500256600,000$
Rayé
1John St-Ivany (R)X100.00594466616562626040565357585150050580232650,000$
2Marshall Warren (R)X100.00393497655952713625342940335454050490213560,000$
MOYENNE D’ÉQUIPE100.0055486459595456533749485549474505054
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 moyen
1Filip Lindberg (R)100.0068585663636264616362545250050570233925,000$
2Isaiah Saville (R)100.0063555467616162606259515050050560223849,667$
Rayé
1Mikhail Berdin100.0052526363505659585757284440050520242758,333$
2Michael McNiven100.0042445476404449484545284440050460251682,222$
MOYENNE D’ÉQUIPE100.005652576754565957575640484505053
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
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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire 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 10Lien
Adam Mascherin (contrat à 1 volet)Cabaret Lady Mary Ann (Que)LW241998-06-05No205 Lbs5 ft10YesNoYesNo4Pro & Farm620,000$310,000$0$0$No620,000$620,000$620,000$Lien
Colton Sceviour (contrat à 1 volet)Cabaret Lady Mary Ann (Que)LW/RW331989-04-20No190 Lbs6 ft0YesNoYesNo2Pro & Farm700,000$350,000$0$0$No700,000$Lien
Ethan Prow (contrat à 1 volet)Cabaret Lady Mary Ann (Que)D291992-11-17No183 Lbs5 ft11NoNoYesNo3Pro & Farm600,000$300,000$0$0$No600,000$600,000$Lien
Filip LindbergCabaret Lady Mary Ann (Que)G231999-01-31Yes181 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$462,500$0$0$No925,000$925,000$Lien
Fredrik OlofssonCabaret Lady Mary Ann (Que)LW261996-05-27Yes190 Lbs6 ft2NoNoYesNo3Pro & Farm600,000$300,000$0$0$No600,000$600,000$Lien
Isaiah SavilleCabaret Lady Mary Ann (Que)G222000-09-21Yes194 Lbs6 ft1NoNoNoNo3Pro & Farm849,667$424,834$0$0$No849,667$849,667$Lien
Jack DuganCabaret Lady Mary Ann (Que)LW241998-03-24No185 Lbs6 ft2NoNoYesNo2Pro & Farm620,000$310,000$0$0$No620,000$Lien
Joachim BlichfeldCabaret Lady Mary Ann (Que)LW/RW241998-07-17No180 Lbs6 ft2NoNoYesNo3Pro & Farm620,000$310,000$0$0$No620,000$620,000$Lien
John St-IvanyCabaret Lady Mary Ann (Que)D231999-07-22Yes198 Lbs6 ft3NoNoNoNo2Pro & Farm650,000$325,000$0$0$No650,000$Lien
Joseph DuszakCabaret Lady Mary Ann (Que)D251997-07-22No176 Lbs5 ft9NoNoYesNo2Pro & Farm800,000$400,000$0$0$No800,000$Lien
Joseph LaBate (contrat à 1 volet)Cabaret Lady Mary Ann (Que)LW291993-04-16No214 Lbs6 ft5NoNoYesNo2Pro & Farm600,000$300,000$0$0$No600,000$Lien
Josh DunneCabaret Lady Mary Ann (Que)C231998-12-08No209 Lbs6 ft4NoNoNoNo2Pro & Farm925,000$462,500$0$0$No925,000$Lien
Leevi AaltonenCabaret Lady Mary Ann (Que)C212001-01-24Yes176 Lbs5 ft9NoNoNoNo3Pro & Farm560,000$280,000$0$0$No560,000$560,000$Lien
Leon GawankeCabaret Lady Mary Ann (Que)D231999-05-31No185 Lbs6 ft1NoNoNoNo1Pro & Farm796,667$398,334$0$0$NoLien
Lucas EdmondsCabaret Lady Mary Ann (Que)LW/RW212001-01-27Yes172 Lbs5 ft11NoNoNoNo3Pro & Farm861,667$430,834$0$0$No861,667$861,667$
Lukas RousekCabaret Lady Mary Ann (Que)RW231999-04-20No172 Lbs5 ft11NoNoNoNo3Pro & Farm830,000$415,000$0$0$No830,000$830,000$Lien
Marshall WarrenCabaret Lady Mary Ann (Que)D212001-04-20Yes163 Lbs5 ft11NoNoNoNo3Pro & Farm560,000$280,000$0$0$No560,000$560,000$Lien
Michael McNivenCabaret Lady Mary Ann (Que)G251997-07-08No203 Lbs6 ft1NoNoYesNo1Pro & Farm682,222$341,111$0$0$NoLien
Mikhail BerdinCabaret Lady Mary Ann (Que)G241998-02-28No163 Lbs6 ft2NoNoYesNo2Pro & Farm758,333$379,166$0$0$No758,333$Lien
Nicholas Merkley (contrat à 1 volet)Cabaret Lady Mary Ann (Que)RW251997-05-23No194 Lbs5 ft10YesNoYesNo4Pro & Farm660,000$330,000$0$0$No660,000$660,000$660,000$Lien
Nick BokaCabaret Lady Mary Ann (Que)D251997-09-08No209 Lbs6 ft1NoNoYesNo6Pro & Farm600,000$300,000$0$0$No600,000$600,000$600,000$600,000$600,000$Lien
Nick CicekCabaret Lady Mary Ann (Que)D222000-05-29Yes201 Lbs6 ft3NoNoNoNo3Pro & Farm600,000$300,000$0$0$No600,000$600,000$Lien
Nikola PasicCabaret Lady Mary Ann (Que)C212000-10-16Yes187 Lbs5 ft10NoNoNoNo3Pro & Farm560,000$280,000$0$0$No560,000$560,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.17188 Lbs6 ft02.74694,720$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam MascherinJosh DunneJoachim Blichfeld40122
2Jack DuganLeevi AaltonenLucas Edmonds30122
3Joseph LaBateColton SceviourLukas Rousek20122
4Fredrik OlofssonNikola PasicNicholas Merkley10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwJoseph Duszak40122
2Leon Gawanke30122
3Nick Boka20122
4Ethan ProwJoseph Duszak10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam MascherinLeevi AaltonenJoachim Blichfeld60122
2Lucas EdmondsJosh DunneNicholas Merkley40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwJoseph Duszak60122
2Leon Gawanke40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Leevi AaltonenLucas Edmonds60122
2Josh DunneJoachim Blichfeld40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joseph Duszak60122
2Nick Boka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josh Dunne60122Ethan ProwJoseph Duszak60122
2Leevi Aaltonen40122Leon Gawanke40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh DunneLucas Edmonds60122
2Leevi AaltonenJoachim Blichfeld40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwJoseph Duszak60122
2Leon Gawanke40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam MascherinJosh DunneJoachim BlichfeldNick Boka
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik OlofssonLeevi AaltonenLucas EdmondsLeon Gawanke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Mascherin, Fredrik Olofsson, Jack DuganJoachim Blichfeld, Joseph LaBateJosh Dunne
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Prow, Joseph Duszak, Leon GawankeNick Boka,
Tirs de pénalité
Adam Mascherin, Fredrik Olofsson, Jack Dugan, Joachim Blichfeld, Lucas Edmonds
Gardien
#1 : Filip Lindberg, #2 : Isaiah Saville


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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,279,856$ 1,279,856$ 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$ 14 0$ 0$




Cabaret Lady Mary Ann 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

Cabaret Lady Mary Ann 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

Cabaret Lady Mary Ann 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

Cabaret Lady Mary Ann 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

Cabaret Lady Mary Ann 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