Cabaret Lady Mary Ann

GP: 53 | W: 10 | L: 42 | OTL: 1 | P: 21
GF: 156 | GA: 305 | PP%: 13.11% | PK%: 65.06%
DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d'Équipe : 50
Prochain matchs #848 vs Manchots
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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
1David KampfXXX100.00684295767265846073615877756363050640242925,000$
2Garnet HathawayXX100.009383696879578860325964692564650506302711,140,000$
3Travis BoydXX100.00664495636761617163716162255455050610261525,000$
4Cody McLeodX100.00767649617851535949485670548082050580354750,000$
5Joseph LaBateXX100.00757764618169765771535466554545050580262575,000$
6Matthew HighmoreXX100.00774893706657625935605766254747050580232742,500$
7Phil VaroneXXX100.00726288606865685965605161484949050570283750,000$
8Branden Troock (R)X100.00838188518149475750486267594444050550252575,000$
9Jesse PuljujarviX100.00533586607158525135465756474336050520211925,000$
10Curtis ValkX100.00433593704937313235323258463532050420264775,000$
11Hunter Smith (R)X100.00374545457434343745373745413230050400242575,000$
12Fredrik Olofsson (R)X100.00344040407133333440343440373230050370231650,000$
13Ethan ProwX100.00726786646670745825525266505151050600262767,500$
14Philip Holm (R)X100.00747279647261635525494662444444050570274775,000$
15Raman HrabarenkaX100.00413590597034252935292966433532050460271575,000$
16Dalton Thrower (R)X100.00374545456434343745373745413230050400252575,000$
17Nicholas Boka (R)X100.00333737376433333337333337353230050370222525,000$
Rayé
1Shane Eiserman (R)XX100.00324040406931313240323240363230050360232575,000$
2Jordan Subban (R)X100.00324040405131313240323240363230050360242575,000$
MOYENNE D'ÉQUIPE100.0058537057694952484446475843454305050
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 SP
1Andrew Hammond100.0055637581575955605757305051050590
2Michael McNiven (R)100.0050626171475146494749496060050530
Rayé
1Ken Appleby100.0046454480444141414159563532050460
2Merrick Madsen (R)100.0032373465323131313131293230050360
MOYENNE D'ÉQUIPE100.004652547445464345444941444305049
Nom du Coach 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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrew HammondCabaret Lady Mary Ann (Que)G311988-02-11No215 Lbs6 ft2NoNoNo1Pro & Farm500,000$153,225$50,000$15,323$NoLien
Branden TroockCabaret Lady Mary Ann (Que)RW251994-03-19Yes220 Lbs6 ft2NoNoNo2Pro & Farm575,000$176,209$57,500$17,621$No575,000$Lien
Cody McLeodCabaret Lady Mary Ann (Que)LW351984-06-26No210 Lbs6 ft2NoNoNo4Pro & Farm750,000$229,838$75,000$22,984$No750,000$750,000$750,000$Lien
Curtis ValkCabaret Lady Mary Ann (Que)C261993-02-08No170 Lbs5 ft9NoNoNo4Pro & Farm750,000$229,838$77,500$23,750$No750,000$750,000$750,000$Lien
Dalton ThrowerCabaret Lady Mary Ann (Que)D251993-12-21Yes200 Lbs5 ft11NoNoNo2Pro & Farm575,000$176,209$57,500$17,621$No575,000$Lien
David KampfCabaret Lady Mary Ann (Que)C/LW/RW241995-01-12No191 Lbs6 ft2NoNoNo2Pro & Farm925,000$283,467$92,500$28,347$No925,000$Lien
Ethan ProwCabaret Lady Mary Ann (Que)D261992-11-17No180 Lbs5 ft11NoNoNo2Pro & Farm767,500$235,201$76,750$23,520$No767,500$Lien
Fredrik OlofssonCabaret Lady Mary Ann (Que)LW231996-05-27Yes204 Lbs6 ft2NoNoNo1Pro & Farm650,000$199,193$65,000$19,919$NoLien
Garnet HathawayCabaret Lady Mary Ann (Que)LW/RW271991-11-23No208 Lbs6 ft2YesNoNo1Pro & Farm800,000$245,161$114,000$34,935$NoLien
Hunter SmithCabaret Lady Mary Ann (Que)RW241995-09-11Yes208 Lbs6 ft6NoNoNo2Pro & Farm575,000$176,209$57,500$17,621$No575,000$Lien
Jesse PuljujarviCabaret Lady Mary Ann (Que)RW211998-05-07No201 Lbs6 ft4NoNoNo1Pro & Farm925,000$283,467$92,500$28,347$NoLien
Jordan SubbanCabaret Lady Mary Ann (Que)D241995-05-03Yes175 Lbs5 ft9NoNoNo2Pro & Farm575,000$176,209$57,500$17,621$No575,000$Lien
Joseph LaBateCabaret Lady Mary Ann (Que)C/LW261993-04-16No210 Lbs6 ft5NoNoNo2Pro & Farm575,000$176,209$57,500$17,621$No575,000$Lien
Ken ApplebyCabaret Lady Mary Ann (Que)G241995-04-10No210 Lbs6 ft4NoNoNo2Pro & Farm635,000$194,596$63,500$19,460$No635,000$Lien
Matthew HighmoreCabaret Lady Mary Ann (Que)LW/RW231996-02-27No181 Lbs5 ft11NoNoNo2Pro & Farm742,500$227,540$74,250$22,754$No742,500$Lien
Merrick MadsenCabaret Lady Mary Ann (Que)G241995-08-22Yes177 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Michael McNivenCabaret Lady Mary Ann (Que)G221997-07-09Yes198 Lbs6 ft1NoNoNo4Pro & Farm682,222$209,068$68,222$20,907$No682,222$682,222$682,222$Lien
Nicholas BokaCabaret Lady Mary Ann (Que)D221997-09-08Yes197 Lbs6 ft1NoNoNo2Pro & Farm525,000$160,887$52,500$16,089$No525,000$Lien
Phil VaroneCabaret Lady Mary Ann (Que)C/LW/RW281990-12-04No193 Lbs5 ft10NoNoNo3Pro & Farm750,000$229,838$75,000$22,984$No750,000$750,000$Lien
Philip HolmCabaret Lady Mary Ann (Que)D271991-12-08Yes196 Lbs6 ft1NoNoNo4Pro & Farm750,000$229,838$77,500$23,750$No750,000$750,000$750,000$Lien
Raman HrabarenkaCabaret Lady Mary Ann (Que)D271992-08-24No212 Lbs6 ft3NoNoNo1Pro & Farm575,000$176,209$57,500$17,621$NoLien
Shane EisermanCabaret Lady Mary Ann (Que)C/LW231995-10-10Yes200 Lbs6 ft1NoNoNo2Pro & Farm575,000$176,209$57,500$17,621$No575,000$Lien
Travis BoydCabaret Lady Mary Ann (Que)C/RW261993-09-14No185 Lbs5 ft11NoNoNo1Pro & Farm525,000$160,887$52,500$16,089$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.35197 Lbs6 ft12.04639,227$



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
LigueDomicileVisiteur
# 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
1Admirals1010000017-61010000017-60000000000000.00012300536040524634684695287228416300.00%20100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
2Baby Hawks1010000005-5000000000001010000005-500.00000000536040522634684695288218024400.00%000.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
3Bears20200000814-61010000057-21010000037-400.000815230053604058063468469528171386314375.00%30100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
4Bruins20100010711-4100000105411010000027-520.5007121900536040510263468469528104328476116.67%4250.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
5Caroline311000011317-41100000043120100001914-530.50013263900536040512563468469528193641259400.00%5260.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
6Chill20200000411-71010000025-31010000026-400.00047110053604056763468469528145311037500.00%50100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
7Comets2110000079-21010000036-31100000043120.500713200053604057963468469528144364269111.11%2150.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
8Cougars30300000715-820200000612-61010000013-200.000714210053604059563468469528177511071400.00%5180.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
9Crunch30300000218-161010000016-520200000112-1100.0002350053604058063468469528246502370300.00%7271.43%0567168133.73%823256832.05%30993333.12%7735011807404617245
10Heat1010000037-4000000000001010000037-400.00035800536040533634684695288928220000.00%110.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
11Jayhawks1010000016-51010000016-50000000000000.00012300536040545634684695286219826300.00%40100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
12Las Vegas1010000026-41010000026-40000000000000.0002350053604054763468469528463012144125.00%2150.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
13Manchots20200000712-51010000067-11010000015-400.00071421005360405616346846952813433633400.00%4175.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
14Marlies20200000513-81010000036-31010000027-500.000510150053604055663468469528144408408225.00%4325.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
15Minnesota211000001112-1110000007521010000047-320.5001121320053604051426346846952814134257100.00%2150.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
16Monarchs1010000035-21010000035-20000000000000.000369005360405466346846952884204223133.33%20100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
17Monsters30300000918-91010000036-320200000612-600.000917260053604058763468469528190588577114.29%4325.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
18Monsters20200000411-71010000017-61010000034-100.0004812005360405696346846952816338433500.00%2150.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
19Oceanics1010000026-41010000026-40000000000000.00024600536040541634684695284614718400.00%110.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
20Oil Kings1010000046-2000000000001010000046-200.000471100536040531634684695287021416100.00%20100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
21Phantoms1010000029-71010000029-70000000000000.00024600536040540634684695288230621200.00%3166.67%0567168133.73%823256832.05%30993333.12%7735011807404617245
22Rocket20200000515-101010000026-41010000039-600.000510150053604059863468469528155518526116.67%3233.33%0567168133.73%823256832.05%30993333.12%7735011807404617245
23Senators20200000412-81010000023-11010000029-700.00048120053604057463468469528128368328112.50%3166.67%0567168133.73%823256832.05%30993333.12%7735011807404617245
24Sharks1010000014-31010000014-30000000000000.00012300536040521634684695285920012000.00%000.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
25Sound Tigers30300000818-101010000045-120200000413-900.00081523005360405102634684695281855810638112.50%5180.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
26Spiders11000000651000000000001100000065121.0006121800536040535634684695285920218100.00%110.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
27Stars1010000028-61010000028-60000000000000.00024600536040536634684695287318416000.00%2150.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
28Thunder4210100016160220000009722010100079-260.7501630460053604052026346846952820340871800.00%3233.33%0567168133.73%823256832.05%30993333.12%7735011807404617245
Total5374201021156305-149274210002083151-68263210100173154-81210.198156296452005360405203063468469528356898819410511221613.11%832965.06%0567168133.73%823256832.05%30993333.12%7735011807404617245
29Wolf Pack210000101293100000106511100000064241.0001222340053604059063468469528121326497342.86%20100.00%0567168133.73%823256832.05%30993333.12%7735011807404617245
_Since Last GM Reset5374201021156305-149274210002083151-68263210100173154-81210.198156296452005360405203063468469528356898819410511221613.11%832965.06%0567168133.73%823256832.05%30993333.12%7735011807404617245
_Vs Conference233190000161135-741129000002965-3612110000013270-3870.15261116177005360405902634684695281641458934844436.82%371364.86%0567168133.73%823256832.05%30993333.12%7735011807404617245

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5321L1715629645220303568988194105100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
537421021156305
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27421002083151
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
26321100173154
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
1221613.11%832965.06%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
634684695285360405
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
567168133.73%823256832.05%30993333.12%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
7735011807404617245


Derniers Match 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
2 - 2020-10-235Cabaret Lady Mary Ann3Thunder6LSommaire du Match
4 - 2020-10-2521Thunder4Cabaret Lady Mary Ann5WSommaire du Match
7 - 2020-10-2836Caroline3Cabaret Lady Mary Ann4WSommaire du Match
10 - 2020-10-3158Cabaret Lady Mary Ann1Crunch4LSommaire du Match
11 - 2020-11-0168Cabaret Lady Mary Ann2Sound Tigers5LSommaire du Match
13 - 2020-11-0380Cabaret Lady Mary Ann6Spiders5WSommaire du Match
17 - 2020-11-07107Monsters7Cabaret Lady Mary Ann1LSommaire du Match
18 - 2020-11-08121Cabaret Lady Mary Ann2Chill6LSommaire du Match
21 - 2020-11-11135Manchots7Cabaret Lady Mary Ann6LSommaire du Match
23 - 2020-11-13153Cabaret Lady Mary Ann3Heat7LSommaire du Match
26 - 2020-11-16170Cabaret Lady Mary Ann4Oil Kings6LSommaire du Match
27 - 2020-11-17178Cabaret Lady Mary Ann4Comets3WSommaire du Match
29 - 2020-11-19192Cabaret Lady Mary Ann3Monsters4LSommaire du Match
32 - 2020-11-22209Cougars7Cabaret Lady Mary Ann3LSommaire du Match
37 - 2020-11-27238Bears7Cabaret Lady Mary Ann5LSommaire du Match
39 - 2020-11-29252Cabaret Lady Mary Ann2Sound Tigers8LSommaire du Match
40 - 2020-11-30263Cabaret Lady Mary Ann6Wolf Pack4WSommaire du Match
42 - 2020-12-02272Cabaret Lady Mary Ann2Bruins7LSommaire du Match
44 - 2020-12-04288Oceanics6Cabaret Lady Mary Ann2LSommaire du Match
46 - 2020-12-06306Wolf Pack5Cabaret Lady Mary Ann6WXXSommaire du Match
49 - 2020-12-09319Phantoms9Cabaret Lady Mary Ann2LSommaire du Match
51 - 2020-12-11334Admirals7Cabaret Lady Mary Ann1LSommaire du Match
53 - 2020-12-13357Cabaret Lady Mary Ann6Caroline7LXXSommaire du Match
54 - 2020-12-14362Crunch6Cabaret Lady Mary Ann1LSommaire du Match
57 - 2020-12-17383Cabaret Lady Mary Ann3Bears7LSommaire du Match
60 - 2020-12-20409Chill5Cabaret Lady Mary Ann2LSommaire du Match
63 - 2020-12-23426Minnesota5Cabaret Lady Mary Ann7WSommaire du Match
67 - 2020-12-27458Monsters6Cabaret Lady Mary Ann3LSommaire du Match
68 - 2020-12-28464Sharks4Cabaret Lady Mary Ann1LSommaire du Match
70 - 2020-12-30473Thunder3Cabaret Lady Mary Ann4WSommaire du Match
72 - 2021-01-01489Sound Tigers5Cabaret Lady Mary Ann4LSommaire du Match
74 - 2021-01-03510Bruins4Cabaret Lady Mary Ann5WXXSommaire du Match
76 - 2021-01-05519Senators3Cabaret Lady Mary Ann2LSommaire du Match
80 - 2021-01-09548Stars8Cabaret Lady Mary Ann2LSommaire du Match
81 - 2021-01-10560Cabaret Lady Mary Ann3Caroline7LSommaire du Match
83 - 2021-01-12572Cabaret Lady Mary Ann4Thunder3WXSommaire du Match
88 - 2021-01-17596Cougars5Cabaret Lady Mary Ann3LSommaire du Match
89 - 2021-01-18608Rocket6Cabaret Lady Mary Ann2LSommaire du Match
91 - 2021-01-20619Cabaret Lady Mary Ann2Monsters6LSommaire du Match
93 - 2021-01-22632Cabaret Lady Mary Ann2Senators9LSommaire du Match
95 - 2021-01-24645Cabaret Lady Mary Ann0Crunch8LSommaire du Match
96 - 2021-01-25654Cabaret Lady Mary Ann1Manchots5LSommaire du Match
98 - 2021-01-27664Jayhawks6Cabaret Lady Mary Ann1LSommaire du Match
100 - 2021-01-29681Comets6Cabaret Lady Mary Ann3LSommaire du Match
103 - 2021-02-01707Marlies6Cabaret Lady Mary Ann3LSommaire du Match
107 - 2021-02-05729Monarchs5Cabaret Lady Mary Ann3LSommaire du Match
109 - 2021-02-07749Cabaret Lady Mary Ann1Cougars3LSommaire du Match
111 - 2021-02-09760Cabaret Lady Mary Ann4Minnesota7LSommaire du Match
112 - 2021-02-10765Cabaret Lady Mary Ann0Baby Hawks5LSommaire du Match
123 - 2021-02-21794Cabaret Lady Mary Ann3Rocket9LSommaire du Match
125 - 2021-02-23809Cabaret Lady Mary Ann2Marlies7LSommaire du Match
126 - 2021-02-24818Cabaret Lady Mary Ann4Monsters6LSommaire du Match
128 - 2021-02-26830Las Vegas6Cabaret Lady Mary Ann2LSommaire du Match
130 - 2021-02-28848Manchots-Cabaret Lady Mary Ann-
132 - 2021-03-02861Cabaret Lady Mary Ann-Phantoms-
133 - 2021-03-03868Cabaret Lady Mary Ann-Spiders-
135 - 2021-03-05883Phantoms-Cabaret Lady Mary Ann-
137 - 2021-03-07898Oil Kings-Cabaret Lady Mary Ann-
139 - 2021-03-09915Cabaret Lady Mary Ann-Sharks-
141 - 2021-03-11930Cabaret Lady Mary Ann-Admirals-
142 - 2021-03-12940Cabaret Lady Mary Ann-Monarchs-
144 - 2021-03-14957Cabaret Lady Mary Ann-Las Vegas-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17979Cabaret Lady Mary Ann-Jayhawks-
149 - 2021-03-19987Marlies-Cabaret Lady Mary Ann-
151 - 2021-03-211002Baby Hawks-Cabaret Lady Mary Ann-
152 - 2021-03-221012Heat-Cabaret Lady Mary Ann-
156 - 2021-03-261035Bruins-Cabaret Lady Mary Ann-
158 - 2021-03-281055Rocket-Cabaret Lady Mary Ann-
161 - 2021-03-311075Cabaret Lady Mary Ann-Chiefs-
163 - 2021-04-021090Cabaret Lady Mary Ann-Stars-
165 - 2021-04-041102Spiders-Cabaret Lady Mary Ann-
167 - 2021-04-061121Cabaret Lady Mary Ann-Cougars-
168 - 2021-04-071128Cabaret Lady Mary Ann-Oceanics-
170 - 2021-04-091138Crunch-Cabaret Lady Mary Ann-
172 - 2021-04-111156Chiefs-Cabaret Lady Mary Ann-
174 - 2021-04-131170Cabaret Lady Mary Ann-Marlies-
175 - 2021-04-141182Cabaret Lady Mary Ann-Senators-
177 - 2021-04-161192Cabaret Lady Mary Ann-Rocket-
179 - 2021-04-181207Cabaret Lady Mary Ann-Bruins-
181 - 2021-04-201225Wolf Pack-Cabaret Lady Mary Ann-
184 - 2021-04-231243Senators-Cabaret Lady Mary Ann-
186 - 2021-04-251265Bears-Cabaret Lady Mary Ann-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance51,31726,067
Assistance PCT95.03%96.54%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
14 2866 - 95.54% 81,004$2,187,100$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,011,101$ 1,470,222$ 1,509,222$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
8,114$ 1,039,365$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
1,134,052$ 57 7,904$ 450,528$




LigueDomicileVisiteur
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