Connexion

Cabaret Lady Mary Ann
GP: 53 | W: 1 | L: 52 | OTL: 0 | P: 2
GF: 128 | GA: 320 | PP%: 12.86% | PK%: 73.97%
DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d’équipe : 47
Prochains matchs #823 vs Sharks
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Centre de jeu
Bruins
19-24-8, 46pts
5
FINAL
3 Cabaret Lady Mary Ann
1-52-0, 2pts
Team Stats
W6StreakL41
10-12-4Home Record0-24-0
9-12-4Away Record1-28-0
6-3-1Last 10 Games0-10-0
3.37Buts par match 2.42
3.75Buts contre par match 6.04
25.32%Pourcentage en avantage numérique12.86%
77.25%Pourcentage en désavantage numérique73.97%
Thunder
26-22-3, 55pts
7
FINAL
3 Cabaret Lady Mary Ann
1-52-0, 2pts
Team Stats
W2StreakL41
13-11-2Home Record0-24-0
13-11-1Away Record1-28-0
7-3-0Last 10 Games0-10-0
3.24Buts par match 2.42
3.00Buts contre par match 6.04
20.14%Pourcentage en avantage numérique12.86%
85.03%Pourcentage en désavantage numérique73.97%
Sharks
30-16-6, 66pts
2023-02-09
Cabaret Lady Mary Ann
1-52-0, 2pts
Statistiques d’équipe
L1SéquenceL41
16-5-3Fiche domicile0-24-0
14-11-3Fiche visiteur1-28-0
6-3-110 derniers matchs0-10-0
3.88Buts par match 2.42
3.63Buts contre par match 2.42
19.87%Pourcentage en avantage numérique12.86%
74.79%Pourcentage en désavantage numérique73.97%
Monsters
32-13-5, 69pts
2023-02-11
Cabaret Lady Mary Ann
1-52-0, 2pts
Statistiques d’équipe
W4SéquenceL41
17-6-2Fiche domicile0-24-0
15-7-3Fiche visiteur1-28-0
6-3-110 derniers matchs0-10-0
3.68Buts par match 2.42
3.08Buts contre par match 2.42
22.75%Pourcentage en avantage numérique12.86%
81.07%Pourcentage en désavantage numérique73.97%
Cabaret Lady Mary Ann
1-52-0, 2pts
2023-02-13
Minnesota
15-28-6, 36pts
Statistiques d’équipe
L41SéquenceL2
0-24-0Fiche domicile10-12-2
1-28-0Fiche visiteur5-16-4
0-10-010 derniers matchs3-7-0
2.42Buts par match 2.86
6.04Buts contre par match 2.86
12.86%Pourcentage en avantage numérique18.67%
73.97%Pourcentage en désavantage numérique75.21%
Meneurs d'équipe
Buts
Michael Eyssimont
1
Passes
Michael Eyssimont
0
Points
Michael Eyssimont
1
Plus/Moins
Michael Eyssimont
0

Statistiques d’équipe
Buts pour
128
2.42 GFG
Tirs pour
1932
36.45 Avg
Pourcentage en avantage numérique
12.9%
18 GF
Début de zone offensive
31.5%
Buts contre
320
6.04 GAA
Tirs contre
3567
67.30 Avg
Pourcentage en désavantage numérique
74.0%%
19 GA
Début de la zone défensive
50.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,856
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs15


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
1Joachim BlichfeldXX100.00756990666963636350586564624444050590231736,666$
2Michael EyssimontXX100.00656759696772756379606259594444050590252750,000$
3Josh DunneX100.00758064788051505569475862554444050570223925,000$
4Cody McLeodX100.00647539617559635150434665448082050550372750,000$
5Jack DuganX100.00747082627047445950585663534444050550231525,000$
6Francis PerronX100.00626282606258604949494762475151050530254600,000$
7Joseph LaBateXX100.00698142618159624961464758454545050530283600,000$
8Lukas RousekXX100.00736396706340384950474660444444050510224830,000$
9Par LindholmXX100.00736798636743444355354163415758050500302700,000$
10Fredrik Olofsson (R)X100.00314040407129293140303040353230050350254600,000$
11Leevi Aaltonen (R)X100.0011111111111111105050204560,000$
12Ian McCoshenX100.00788072608054574625373963375050050560264600,000$
13Nick Cicek (R)X100.00747668637651515325494261404444050550214600,000$
14Nick BokaX100.00647538617541404625314655444444050500247600,000$
15Jordan Subban (R)X100.00304040405127273040292940343230050350263600,000$
Rayé
1Nikola Pasic (R)X100.0011111111111111105050204560,000$
MOYENNE D’ÉQUIPE100.0057595754624444434239415140414105046
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
1Mikhail Berdin100.0054536663525860626161304444050560233758,333$
2Michael McNiven100.0044455676424650514848304444050500242682,222$
Rayé
1Ken Appleby (R)HO444253854544454945454544440504902600$
2Isaiah Saville (R)100.0044405074454445494545454444050480214849,667$
3Filip Lindberg (R)100.0044405071454445494545454444050470224925,000$
MOYENNE D’ÉQUIPE100.004644557446474952494939444405050
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
1Michael EyssimontCabaret Lady Mary Ann (Que)C/LW21010006193111.11%04120.69101270000100100.00%300000.4800000000
Statistiques d’équipe totales ou en moyenne21010006193111.11%04120.69101270000100100.00%300000.4800000000
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 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
Cody McLeod (contrat à 1 volet)Cabaret Lady Mary Ann (Que)LW371984-06-26No204 Lbs6 ft2NoNoYes2Pro & Farm750,000$260,526$0$0$No750,000$Lien
Filip LindbergCabaret Lady Mary Ann (Que)G221999-01-31Yes194 Lbs6 ft0NoNoNo4Pro & Farm925,000$321,316$0$0$No925,000$925,000$925,000$Lien
Francis PerronCabaret Lady Mary Ann (Que)LW251996-04-18No166 Lbs6 ft0NoNoYes4Pro & Farm600,000$208,421$0$0$No600,000$600,000$600,000$Lien
Fredrik OlofssonCabaret Lady Mary Ann (Que)LW251996-05-27Yes204 Lbs6 ft2NoNoYes4Pro & Farm600,000$208,421$0$0$No600,000$600,000$600,000$Lien
Ian McCoshen (contrat à 1 volet)Cabaret Lady Mary Ann (Que)D261995-08-05No218 Lbs6 ft3NoNoYes4Pro & Farm600,000$208,421$0$0$No600,000$600,000$600,000$Lien
Isaiah SavilleCabaret Lady Mary Ann (Que)G212000-09-21Yes196 Lbs6 ft1NoNoNo4Pro & Farm849,667$295,147$0$0$No849,667$849,667$849,667$Lien
Jack DuganCabaret Lady Mary Ann (Que)LW231998-03-24No185 Lbs6 ft2NoNoNo1Pro & Farm525,000$182,368$0$0$NoLien
Joachim BlichfeldCabaret Lady Mary Ann (Que)LW/RW231998-07-17No180 Lbs6 ft2NoNoNo1Pro & Farm736,666$255,895$0$0$NoLien
Jordan Subban (contrat à 1 volet)Cabaret Lady Mary Ann (Que)D261995-05-03Yes175 Lbs5 ft9NoNoYes3Pro & Farm600,000$208,421$0$0$No600,000$600,000$Lien
Joseph LaBate (contrat à 1 volet)Cabaret Lady Mary Ann (Que)C/LW281993-04-16No210 Lbs6 ft5NoNoYes3Pro & Farm600,000$208,421$0$0$No600,000$600,000$Lien
Josh DunneCabaret Lady Mary Ann (Que)C221998-12-08No210 Lbs6 ft4NoNoNo3Pro & Farm925,000$321,316$0$0$No925,000$925,000$Lien
Ken Appleby (contrat à 1 volet)Cabaret Lady Mary Ann (Que)G261995-04-09Yes210 Lbs6 ft4NoNoYes0Pro & Farm0$0$NoLien
Leevi AaltonenCabaret Lady Mary Ann (Que)C202001-01-24 08:27:20Yes176 Lbs5 ft9NoNoNo4Pro & Farm560,000$194,526$0$0$No560,000$560,000$560,000$
Lukas RousekCabaret Lady Mary Ann (Que)LW/RW221999-04-20No172 Lbs5 ft11NoNoNo4Pro & Farm830,000$288,316$0$0$No830,000$830,000$830,000$Lien
Michael EyssimontCabaret Lady Mary Ann (Que)C/LW251996-09-09No181 Lbs6 ft0NoNoYes2Pro & Farm750,000$260,526$0$0$No750,000$Lien
Michael McNivenCabaret Lady Mary Ann (Que)G241997-07-08No203 Lbs6 ft1NoNoYes2Pro & Farm682,222$236,982$0$0$No682,222$Lien
Mikhail BerdinCabaret Lady Mary Ann (Que)G231998-02-28No163 Lbs6 ft2NoNoNo3Pro & Farm758,333$263,421$0$0$No758,333$758,333$Lien
Nick BokaCabaret Lady Mary Ann (Que)D241997-09-08No209 Lbs6 ft1NoNoYes7Pro & Farm600,000$208,421$0$0$No600,000$600,000$600,000$600,000$600,000$600,000$Lien
Nick CicekCabaret Lady Mary Ann (Que)D212000-05-29Yes201 Lbs6 ft3YesNoNo4Pro & Farm600,000$208,421$0$0$No600,000$600,000$600,000$Lien
Nikola PasicCabaret Lady Mary Ann (Que)C202000-10-16 08:28:42Yes187 Lbs5 ft10NoNoNo4Pro & Farm560,000$194,526$0$0$No560,000$560,000$560,000$
Par Lindholm (contrat à 1 volet)Cabaret Lady Mary Ann (Que)C/LW301991-10-05No183 Lbs6 ft0NoNoYes2Pro & Farm700,000$243,158$0$0$No700,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.43192 Lbs6 ft13.10654,852$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Admirals1010000036-3000000000001010000036-300.00036900434936050684640608059232193133.33%000.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
2Baby Hawks1010000018-7000000000001010000018-700.0001230043493603568464060807829021100.00%000.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
3Bears1010000026-41010000026-40000000000000.00024600434936043684640608054122193133.33%10100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
4Bruins40400000922-1320200000511-620200000411-700.000918270043493601146846406080277692081900.00%10460.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
5Caroline20200000211-91010000024-21010000007-700.00023510434936071684640608011745437800.00%2150.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
6Chiefs1010000034-11010000034-10000000000000.0003690043493605968464060804282174125.00%110.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
7Comets20200000813-51010000046-21010000047-300.00081624004349360806846406080131294318112.50%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
8Cougars20200000616-101010000038-51010000038-500.00061117004349360546846406080176554435120.00%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
9Crunch20200000512-70000000000020200000512-700.000591400434936073684640608017442654100.00%30100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
10Heat20200000815-71010000047-31010000048-400.0008152300434936075684640608015228643400.00%3166.67%0490159730.68%722256128.19%29090931.90%7254651842411611239
11Jayhawks2020000049-51010000036-31010000013-200.0004812004349360706846406080118294356233.33%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
12Las Vegas1010000027-5000000000001010000027-500.0002460043493603768464060808218217100.00%110.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
13Manchots20200000510-51010000014-31010000046-200.00059140043493608468464060801032913259111.11%4175.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
14Marlies1010000037-4000000000001010000037-400.0003690043493602368464060807623421100.00%2150.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
15Minnesota1010000028-61010000028-60000000000000.0002460043493604468464060807323419200.00%3166.67%0490159730.68%722256128.19%29090931.90%7254651842411611239
16Monarchs21100000910-11010000058-31100000042220.50091827004349360916846406080115282464250.00%10100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
17Monsters2020000049-51010000013-21010000036-300.0004812004349360636846406080113334315240.00%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
18Monsters1010000015-4000000000001010000015-400.0001230043493602968464060806220020000.00%000.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
19Oceanics1010000028-6000000000001010000028-600.000246004349360376846406080641942111100.00%2150.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
20Oil Kings2020000027-51010000023-11010000004-400.00024600434936084684640608011830931500.00%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
21Phantoms20200000914-51010000058-31010000046-200.00091827104349360906846406080130498251119.09%4175.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
22Rocket20200000610-41010000035-21010000035-200.00061218004349360576846406080128351236300.00%6183.33%0490159730.68%722256128.19%29090931.90%7254651842411611239
23Seattle20200000417-131010000028-61010000029-700.0004711004349360666846406080132414226116.67%220.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
24Senators1010000057-21010000057-20000000000000.0005101500434936042684640608078180164125.00%000.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
25Sharks1010000038-5000000000001010000038-500.0003690043493603668464060808422236200.00%10100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
26Sound Tigers30300000517-121010000026-420200000311-800.0005914004349360109684640608023657468600.00%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
27Spiders20200000412-81010000013-21010000039-600.00048121043493606668464060801373713415240.00%40100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
28Stars20200000415-111010000017-61010000038-500.000481200434936063684640608013345846700.00%4175.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
29Thunder30300000516-1120200000411-71010000015-400.000591400434936010868464060801743815571100.00%5260.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
30Wolf Pack20200000211-91010000024-21010000007-700.00024600434936079684640608015137448500.00%20100.00%0490159730.68%722256128.19%29090931.90%7254651842411611239
Total5315200000128320-192240240000062137-75291280000066183-11720.01912824837630434936019326846406080356797116610261401812.86%731973.97%0490159730.68%722256128.19%29090931.90%7254651842411611239
_Since Last GM Reset5315200000128320-192240240000062137-75291280000066183-11720.01912824837630434936019326846406080356797116610261401812.86%731973.97%0490159730.68%722256128.19%29090931.90%7254651842411611239
_Vs Conference250250000058157-9911011000002966-3714014000002991-6200.0005811116910434936089768464060801716477694726169.84%33972.73%0490159730.68%722256128.19%29090931.90%7254651842411611239

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
532L4112824837619323567971166102630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
531520000128320
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24024000062137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
29128000066183
Derniers 10 matchs
WLOTWOTL SOWSOL
0100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1401812.86%731973.97%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
68464060804349360
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
490159730.68%722256128.19%29090931.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
7254651842411611239


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
7 - 2022-10-1314Cabaret Lady Mary Ann2Sound Tigers4ALSommaire du match
9 - 2022-10-1525Cabaret Lady Mary Ann3Crunch5ALSommaire du match
11 - 2022-10-1741Cabaret Lady Mary Ann1Bruins5ALSommaire du match
13 - 2022-10-1956Phantoms8Cabaret Lady Mary Ann5BLSommaire du match
15 - 2022-10-2171Thunder4Cabaret Lady Mary Ann1BLSommaire du match
17 - 2022-10-2390Sound Tigers6Cabaret Lady Mary Ann2BLSommaire du match
19 - 2022-10-25103Cabaret Lady Mary Ann1Baby Hawks8ALSommaire du match
21 - 2022-10-27112Cabaret Lady Mary Ann4Phantoms6ALSommaire du match
23 - 2022-10-29129Senators7Cabaret Lady Mary Ann5BLSommaire du match
26 - 2022-11-01156Cabaret Lady Mary Ann1Jayhawks3ALSommaire du match
28 - 2022-11-03173Cabaret Lady Mary Ann3Sharks8ALSommaire du match
30 - 2022-11-05189Cabaret Lady Mary Ann4Monarchs2AWSommaire du match
31 - 2022-11-06192Cabaret Lady Mary Ann3Admirals6ALSommaire du match
34 - 2022-11-09207Caroline4Cabaret Lady Mary Ann2BLSommaire du match
37 - 2022-11-12226Oil Kings3Cabaret Lady Mary Ann2BLSommaire du match
40 - 2022-11-15253Bears6Cabaret Lady Mary Ann2BLSommaire du match
42 - 2022-11-17262Stars7Cabaret Lady Mary Ann1BLSommaire du match
44 - 2022-11-19275Heat7Cabaret Lady Mary Ann4BLSommaire du match
45 - 2022-11-20289Cabaret Lady Mary Ann3Monsters6ALSommaire du match
48 - 2022-11-23305Bruins6Cabaret Lady Mary Ann2BLSommaire du match
51 - 2022-11-26334Chiefs4Cabaret Lady Mary Ann3BLSommaire du match
53 - 2022-11-28351Cabaret Lady Mary Ann0Oil Kings4ALSommaire du match
54 - 2022-11-29358Cabaret Lady Mary Ann4Heat8ALSommaire du match
56 - 2022-12-01373Cabaret Lady Mary Ann4Comets7ALSommaire du match
58 - 2022-12-03389Cabaret Lady Mary Ann2Seattle9ALSommaire du match
61 - 2022-12-06408Cabaret Lady Mary Ann2Oceanics8ALSommaire du match
63 - 2022-12-08419Cougars8Cabaret Lady Mary Ann3BLSommaire du match
65 - 2022-12-10436Cabaret Lady Mary Ann1Thunder5ALSommaire du match
66 - 2022-12-11444Seattle8Cabaret Lady Mary Ann2BLSommaire du match
68 - 2022-12-13455Monsters3Cabaret Lady Mary Ann1BLSommaire du match
70 - 2022-12-15474Manchots4Cabaret Lady Mary Ann1BLSommaire du match
72 - 2022-12-17488Cabaret Lady Mary Ann3Spiders9ALSommaire du match
74 - 2022-12-19504Cabaret Lady Mary Ann3Bruins6ALSommaire du match
76 - 2022-12-21518Spiders3Cabaret Lady Mary Ann1BLSommaire du match
78 - 2022-12-23538Cabaret Lady Mary Ann1Sound Tigers7ALSommaire du match
84 - 2022-12-29564Rocket5Cabaret Lady Mary Ann3BLSommaire du match
85 - 2022-12-30575Cabaret Lady Mary Ann0Caroline7ALSommaire du match
87 - 2023-01-01591Wolf Pack4Cabaret Lady Mary Ann2BLSommaire du match
89 - 2023-01-03598Jayhawks6Cabaret Lady Mary Ann3BLSommaire du match
92 - 2023-01-06623Cabaret Lady Mary Ann3Cougars8ALSommaire du match
94 - 2023-01-08637Cabaret Lady Mary Ann3Stars8ALSommaire du match
96 - 2023-01-10656Cabaret Lady Mary Ann1Monsters5ALSommaire du match
98 - 2023-01-12673Cabaret Lady Mary Ann2Las Vegas7ALSommaire du match
100 - 2023-01-14684Comets6Cabaret Lady Mary Ann4BLSommaire du match
102 - 2023-01-16694Cabaret Lady Mary Ann2Crunch7ALSommaire du match
103 - 2023-01-17706Cabaret Lady Mary Ann3Marlies7ALSommaire du match
105 - 2023-01-19720Cabaret Lady Mary Ann3Rocket5ALSommaire du match
107 - 2023-01-21734Minnesota8Cabaret Lady Mary Ann2BLSommaire du match
109 - 2023-01-23751Cabaret Lady Mary Ann0Wolf Pack7ALSommaire du match
110 - 2023-01-24756Cabaret Lady Mary Ann4Manchots6ALSommaire du match
113 - 2023-01-27781Monarchs8Cabaret Lady Mary Ann5BLSommaire du match
114 - 2023-01-28789Bruins5Cabaret Lady Mary Ann3BLSommaire du match
123 - 2023-02-06808Thunder7Cabaret Lady Mary Ann3BLSommaire du match
126 - 2023-02-09823Sharks-Cabaret Lady Mary Ann-
128 - 2023-02-11839Monsters-Cabaret Lady Mary Ann-
130 - 2023-02-13852Cabaret Lady Mary Ann-Minnesota-
131 - 2023-02-14859Cabaret Lady Mary Ann-Chiefs-
133 - 2023-02-16870Cabaret Lady Mary Ann-Bears-
135 - 2023-02-18884Cabaret Lady Mary Ann-Chill-
137 - 2023-02-20902Admirals-Cabaret Lady Mary Ann-
141 - 2023-02-24930Crunch-Cabaret Lady Mary Ann-
145 - 2023-02-28960Cabaret Lady Mary Ann-Thunder-
147 - 2023-03-02975Chill-Cabaret Lady Mary Ann-
149 - 2023-03-04993Manchots-Cabaret Lady Mary Ann-
152 - 2023-03-071016Las Vegas-Cabaret Lady Mary Ann-
155 - 2023-03-101036Baby Hawks-Cabaret Lady Mary Ann-
156 - 2023-03-111047Oceanics-Cabaret Lady Mary Ann-
161 - 2023-03-161081Rocket-Cabaret Lady Mary Ann-
163 - 2023-03-181100Spiders-Cabaret Lady Mary Ann-
165 - 2023-03-201116Cabaret Lady Mary Ann-Cougars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211122Cabaret Lady Mary Ann-Phantoms-
168 - 2023-03-231140Marlies-Cabaret Lady Mary Ann-
170 - 2023-03-251156Wolf Pack-Cabaret Lady Mary Ann-
172 - 2023-03-271170Cabaret Lady Mary Ann-Senators-
174 - 2023-03-291186Cabaret Lady Mary Ann-Marlies-
175 - 2023-03-301190Cabaret Lady Mary Ann-Rocket-
177 - 2023-04-011208Cabaret Lady Mary Ann-Monsters-
180 - 2023-04-041229Crunch-Cabaret Lady Mary Ann-
182 - 2023-04-061245Senators-Cabaret Lady Mary Ann-
184 - 2023-04-081262Cabaret Lady Mary Ann-Bears-
186 - 2023-04-101279Marlies-Cabaret Lady Mary Ann-
189 - 2023-04-131299Caroline-Cabaret Lady Mary Ann-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance45,46223,070
Assistance PCT94.71%96.13%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 2856 - 95.18% 80,718$1,937,220$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
713,307$ 1,050,189$ 1,050,189$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,527$ 713,307$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,372,198$ 66 5,527$ 364,782$




Cabaret Lady Mary Ann 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

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 (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