Connexion

Cabaret Lady Mary Ann
GP: 82 | W: 19 | L: 56 | OTL: 7 | P: 45
GF: 288 | GA: 411 | PP%: 22.42% | PK%: 70.93%
DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d’équipe : 51
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Centre de jeu
Senators
41-33-8, 90pts
5
FINAL
4 Cabaret Lady Mary Ann
19-56-7, 45pts
Team Stats
L1StreakSOL1
22-18-1Home Record10-28-3
19-15-7Away Record9-28-4
3-5-2Last 10 Games3-6-1
3.68Goals Per Game3.51
3.70Goals Against Per Game5.01
17.56%Power Play Percentage22.42%
75.88%Penalty Kill Percentage70.93%
Bears
47-29-6, 100pts
4
FINAL
3 Cabaret Lady Mary Ann
19-56-7, 45pts
Team Stats
W3StreakSOL1
28-8-5Home Record10-28-3
19-21-1Away Record9-28-4
7-2-1Last 10 Games3-6-1
3.79Goals Per Game3.51
3.30Goals Against Per Game5.01
20.97%Power Play Percentage22.42%
79.47%Penalty Kill Percentage70.93%
Meneurs d'équipe
Buts
Ian McCoshen
11
Passes
Ian McCoshen
47
Points
Ian McCoshen
58
Plus/Moins
Ian McCoshen
-15
Victoires
Mikhail Berdin
3
Pourcentage d’arrêts
Ken Appleby
0.926

Statistiques d’équipe
Buts pour
288
3.51 GFG
Tirs pour
3280
40.00 Avg
Pourcentage en avantage numérique
22.4%
50 GF
Début de zone offensive
38.8%
Buts contre
411
5.01 GAA
Tirs contre
4004
48.83 Avg
Pourcentage en désavantage numérique
70.9%
84 GA
Début de la zone défensive
41.3%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,903
Billets de saison300


Information formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs11


Historique d'équipe

Saison actuelle19-56-7 (45PTS)
Historique19-56-4 (0.241%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


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
1Alex Newhook (R)XX100.00686869806854516980627362694444050620193908,333$
2Matthew HighmoreXX100.00754393706759766144605880255455050620241742,500$
3Arttu Ruotsalainen (R)XX100.00734286736566626738568063254545050610223925,000$
4Tyler GaudetXX100.00787780607768706278566466614545050600271600,000$
5Francis PerronX100.00656283616262655249535163485151050550241730,000$
6Joseph LaBateXX100.00718147618162645468475760544545050550271575,000$
7Cody McLeodX100.00617529617553555150434663448082050540363750,000$
8Branden TroockX100.00798187508146445449465967574444050540261575,000$
9Par LindholmXX100.00776799646746474556384464425758050510293700,000$
10Curtis ValkX100.00413592694935293135313158453532050420273775,000$
11Hunter Smith (R)X100.00354545457432323545353545403230050390251575,000$
12Shane Eiserman (R)XX100.00314040406929293140313140353230050360241575,000$
13Yannick WeberX100.00694185777261485524424563757071050600323795,833$
14Leon GawankeX100.00867999637265625328454468384444050590213796,667$
15Ethan ProwX100.00686785636665695525494966485151050580271767,500$
16Dalton ThrowerX100.00354545456432323545353545403230050400261575,000$
17Nicholas Boka (R)X100.00323737376431313237323237343230050360231525,000$
Rayé
1Fredrik Olofsson (R)X100.003240404071313132403232403632300503602400$
2Jordan Subban (R)X100.00314040405129293140313140353230050360251575,000$
MOYENNE D’ÉQUIPE100.0058566758684949484643475745454505050
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
1Ken Appleby (R)100.0061567085626763686867304444050630
2Mikhail Berdin100.0057628663545952615554304444050560
Rayé
1Michael McNiven100.0050526576485256585454304444050540
MOYENNE D’ÉQUIPE100.005657747555595762595830444405058
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
1Matthew HighmoreCabaret Lady Mary Ann (Que)LW/RW825162113322012524450717937210.06%136170420.798122075171202202573041.33%15000011.3305000482
2Branden TroockCabaret Lady Mary Ann (Que)RW82385189105925183853911002569.72%43138716.928917721660000141140.00%10500021.2823031634
3Tyler GaudetCabaret Lady Mary Ann (Que)C/LW82533588-2465525828447516138411.16%115146617.8913102310417700041072159.27%186100031.2003100754
4Ian McCoshenQuebecD81114758-1518420342110148561017.43%175171121.134812491410002114100.00%000000.6800220202
5Alex NewhookCabaret Lady Mary Ann (Que)C/LW322627535120501351955814513.33%1668721.4734723600004674059.53%89700011.5401000353
6Joseph LaBateCabaret Lady Mary Ann (Que)C/LW82232750-324410127195238621679.66%38110913.53000010002502054.67%155300000.9003020112
7Francis PerronCabaret Lady Mary Ann (Que)LW82153146-3510016164243681726.17%54120214.660002301141121042.52%12700000.7711000103
8Cody McLeodCabaret Lady Mary Ann (Que)LW82142640-31420128121208671486.73%54106613.0100000000011052.44%8200000.7500000120
9Hunter SmithCabaret Lady Mary Ann (Que)RW82122638-231402384162521187.41%23132216.1245926165000000041.24%9700000.5700000011
10Arttu RuotsalainenCabaret Lady Mary Ann (Que)C/LW2071118-5120195911136586.31%1435817.91123618000080025.71%3500001.0100000111
11Par LindholmCabaret Lady Mary Ann (Que)C/LW788816-343210116103151521065.30%557079.0600000000000060.00%3000000.4500011010
12Curtis ValkCabaret Lady Mary Ann (Que)C8221315-340021169433742.13%286057.3800001000011033.58%81600000.5000000000
13Ethan ProwCabaret Lady Mary Ann (Que)D2621214102952036379245.41%4255421.32101843000048100.00%000000.5100000001
14Nicholas BokaCabaret Lady Mary Ann (Que)D82246-2548013113101620.00%54109313.33000019000062000.00%000000.1100000000
15Leon GawankeCabaret Lady Mary Ann (Que)D11033-3802825174130.00%1819818.03011421000013000.00%000000.3000000000
16Dalton ThrowerCabaret Lady Mary Ann (Que)D11011020003000.00%6645.9000014000030000.00%000000.3100000000
17Shane EisermanCabaret Lady Mary Ann (Que)C/LW11000-320510110.00%718917.240000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne1008264384648-2365857515731775299093921458.83%8781542815.314251933709982133689317252.62%575400070.84316382262723
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
1Mikhail BerdinCabaret Lady Mary Ann (Que)113710.9023.8262800404080100.3333110200
2Ken ApplebyCabaret Lady Mary Ann (Que)10000.9263.4335002270000.0000011000
Statistiques d’équipe totales ou en moyenne123710.9033.8066300424350100.33331111200


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 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
Alex NewhookCabaret Lady Mary Ann (Que)C/LW192001-01-28Yes190 Lbs5 ft10NoNoNo3Pro & Farm908,333$90,833$0$No908,333$908,333$Lien
Arttu RuotsalainenCabaret Lady Mary Ann (Que)C/LW221997-10-28Yes185 Lbs5 ft9NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Branden TroockCabaret Lady Mary Ann (Que)RW261994-03-19No220 Lbs6 ft2NoNoNo1Pro & Farm575,000$57,500$0$NoLien
Cody McLeodCabaret Lady Mary Ann (Que)LW361984-06-26No204 Lbs6 ft2NoNoNo3Pro & Farm750,000$75,000$0$No750,000$750,000$Lien
Curtis ValkCabaret Lady Mary Ann (Que)C271993-02-08No170 Lbs5 ft9NoNoNo3Pro & Farm750,000$77,500$0$No750,000$750,000$Lien
Dalton ThrowerCabaret Lady Mary Ann (Que)D261993-12-21No200 Lbs5 ft11NoNoNo1Pro & Farm575,000$57,500$0$NoLien
Ethan ProwCabaret Lady Mary Ann (Que)D271992-11-17No180 Lbs5 ft11NoNoNo1Pro & Farm767,500$76,750$0$NoLien
Francis PerronCabaret Lady Mary Ann (Que)LW241996-04-18No166 Lbs6 ft0NoNoNo1Pro & Farm730,000$73,000$0$NoLien
Fredrik OlofssonCabaret Lady Mary Ann (Que)LW241996-05-27Yes204 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Hunter SmithCabaret Lady Mary Ann (Que)RW251995-09-11Yes208 Lbs6 ft6NoNoNo1Pro & Farm575,000$57,500$0$NoLien
Jordan SubbanCabaret Lady Mary Ann (Que)D251995-05-03Yes175 Lbs5 ft9NoNoNo1Pro & Farm575,000$57,500$0$NoLien
Joseph LaBateCabaret Lady Mary Ann (Que)C/LW271993-04-16No210 Lbs6 ft5NoNoNo1Pro & Farm575,000$57,500$0$NoLien
Ken ApplebyCabaret Lady Mary Ann (Que)G251995-04-09Yes210 Lbs6 ft4NoNoNo1Pro & Farm635,000$63,500$0$NoLien
Leon GawankeCabaret Lady Mary Ann (Que)D211999-05-31No198 Lbs6 ft1NoNoNo3Pro & Farm796,667$79,667$0$No796,667$796,667$Lien
Matthew HighmoreCabaret Lady Mary Ann (Que)LW/RW241996-02-27No188 Lbs5 ft11NoNoNo1Pro & Farm742,500$74,250$0$NoLien
Michael McNivenCabaret Lady Mary Ann (Que)G231997-07-08No203 Lbs6 ft1NoNoNo3Pro & Farm682,222$68,222$0$No682,222$682,222$Lien
Mikhail BerdinCabaret Lady Mary Ann (Que)G221998-02-28No163 Lbs6 ft2NoNoNo4Pro & Farm758,333$75,833$0$No758,333$758,333$758,333$Lien
Nicholas BokaCabaret Lady Mary Ann (Que)D231997-09-08Yes197 Lbs6 ft1NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Par LindholmCabaret Lady Mary Ann (Que)C/LW291991-10-05No183 Lbs6 ft0NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Lien
Shane EisermanCabaret Lady Mary Ann (Que)C/LW241995-10-10Yes200 Lbs6 ft1NoNoNo1Pro & Farm575,000$57,500$0$NoLien
Tyler GaudetCabaret Lady Mary Ann (Que)C/LW271993-03-04No205 Lbs6 ft3NoNoNo1Pro & Farm600,000$60,000$0$NoLien
Yannick WeberCabaret Lady Mary Ann (Que)D321988-09-23No200 Lbs5 ft11NoNoNo3Pro & Farm750,000$79,583$0$No750,000$750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.36194 Lbs6 ft11.82657,753$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew HighmoreAlex NewhookBranden Troock40122
2Arttu RuotsalainenTyler GaudetHunter Smith30122
3Francis PerronJoseph LaBateCody McLeod20122
4Par LindholmCurtis ValkShane Eiserman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Prow40122
2Shane EisermanPar Lindholm30122
3Leon GawankeNicholas Boka20122
4Ethan Prow10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew HighmoreAlex NewhookBranden Troock60122
2Arttu RuotsalainenTyler GaudetHunter Smith40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicholas Boka60122
2Leon GawankeEthan Prow40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joseph LaBateMatthew Highmore60122
2Tyler GaudetBranden Troock40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dalton Thrower60122
2Ethan ProwNicholas Boka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Newhook60122Nicholas Boka60122
2Matthew Highmore40122Dalton ThrowerLeon Gawanke40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Curtis ValkMatthew Highmore60122
2Tyler GaudetFrancis Perron40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dalton Thrower60122
2Leon GawankeEthan Prow40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arttu RuotsalainenAlex NewhookMatthew HighmoreDalton Thrower
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew HighmoreCurtis ValkBranden TroockEthan ProwNicholas Boka
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Arttu Ruotsalainen, Alex Newhook, Francis PerronArttu Ruotsalainen, Alex NewhookFrancis Perron
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dalton Thrower, Nicholas Boka, Leon GawankeDalton ThrowerNicholas Boka, Leon Gawanke
Tirs de pénalité
Alex Newhook, Matthew Highmore, Tyler Gaudet, Arttu Ruotsalainen, Joseph LaBate
Gardien
#1 : Mikhail Berdin, #2 : Ken Appleby


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
1Admirals20200000513-81010000005-51010000058-300.0005712001319460480112410851046451003424454250.00%9366.67%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
2Baby Hawks211000008711010000036-31100000051420.5008122000131946047311241085104645932624438112.50%6183.33%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
3Bears302000011217-520100001811-31010000046-210.1671220320013194604106112410851046451944543548450.00%12466.67%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
4Bruins40400000519-142020000008-820200000511-600.00059140013194604161112410851046451916634911417.14%11372.73%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
5Caroline3120000014122110000007342020000079-220.3331420340013194604131112410851046451475020688112.50%10370.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
6Chiefs20200000413-91010000024-21010000029-700.000461000131946045811241085104645982221437114.29%7357.14%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
7Chill220000001073110000006511100000042241.00010162600131946048211241085104645733011469222.22%5180.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
8Comets2020000049-51010000035-21010000014-300.00046100013194604801124108510464596221348400.00%50100.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
9Cougars402001011116-520100001911-22010010025-320.2501119300013194604164112410851046451866520891119.09%9366.67%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
10Crunch4200011016142210000109722100010077070.87516264200131946042101124108510464518357181206116.67%9188.89%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
11Heat20000101810-21000000134-11000010056-120.50081422001319460489112410851046451083516633133.33%80100.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
12Jayhawks21100000911-2110000006421010000037-420.50091726001319460478112410851046451052716517114.29%7357.14%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
13Las Vegas20200000713-61010000037-41010000046-200.0007121900131946047911241085104645132276607342.86%30100.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
14Manchots30300000621-1520200000413-91010000028-600.00069150013194604119112410851046451654833636116.67%14657.14%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
15Marlies413000001119-820200000711-42110000048-420.2501117280013194604125112410851046452217243971616.25%17758.82%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
16Minnesota21100000111011010000067-11100000053220.5001118290013194604871124108510464587452243500.00%10370.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
17Monarchs20200000611-51010000025-31010000046-200.000610160013194604711124108510464588351643300.00%8187.50%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
18Monsters30300000817-91010000025-320200000612-600.000811190013194604102112410851046451664524824125.00%11281.82%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
19Monsters20200000310-71010000024-21010000016-500.0003581013194604761124108510464585252043400.00%9277.78%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
20Oceanics20200000510-51010000025-31010000035-200.00058130013194604741124108510464590278544250.00%440.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
21Oil Kings2020000048-41010000023-11010000025-300.000471100131946047211241085104645812718517114.29%9277.78%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
22Phantoms303000001119-820200000712-51010000047-300.00011193000131946041231124108510464514337226712541.67%11554.55%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
23Rocket404000001422-820200000710-320200000712-500.00014233700131946041361124108510464518758549513430.77%15473.33%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
24Senators412001001619-320200000811-32100010088030.375162945001319460413311241085104645182433810810440.00%19573.68%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
25Sharks20101000880100010005411010000034-120.5008132100131946048611241085104645853012493133.33%5260.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
26Sound Tigers31200000151501010000056-121100000109120.3331524390013194604141112410851046451455420807228.57%10370.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
27Spiders302000101417-31000001065120200000812-420.3331419330013194604101112410851046451475824737114.29%12283.33%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
28Stars21100000710-3110000006331010000017-620.5007132000131946048811241085104645100258404125.00%4175.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
29Thunder4220000020200211000001011-121100000109140.50020315110131946042161124108510464519746429216531.25%22863.64%21466298849.06%1430317645.03%728153447.46%1696114422256111036481
30Wolf Pack3210000016142211000009811100000076140.6671630460013194604139112410851046451293316696233.33%8275.00%01466298849.06%1430317645.03%728153447.46%1696114422256111036481
Total82165601423288411-1234172801023149203-544192800400139208-69450.27428847075820131946043280112410851046454004121468619702235022.42%2898470.93%21466298849.06%1430317645.03%728153447.46%1696114422256111036481
_Since Last GM Reset82165601423288411-1234172801023149203-544192800400139208-69450.27428847075820131946043280112410851046454004121468619702235022.42%2898470.93%21466298849.06%1430317645.03%728153447.46%1696114422256111036481
_Vs Conference3572200312120165-4517410000126878-1018312003005287-35210.30012019831810131946041421112410851046451688511276857941617.02%1112676.58%01466298849.06%1430317645.03%728153447.46%1696114422256111036481

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8245SOL1288470758328040041214686197020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8216561423288411
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
417281023149203
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
419280400139208
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2235022.42%2898470.93%2
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
1124108510464513194604
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
1466298849.06%1430317645.03%728153447.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1696114422256111036481


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
2 - 2021-10-135Cabaret Lady Mary Ann5Thunder2WSommaire du match
4 - 2021-10-1521Thunder4Cabaret Lady Mary Ann5WSommaire du match
7 - 2021-10-1836Caroline3Cabaret Lady Mary Ann7WSommaire du match
10 - 2021-10-2158Cabaret Lady Mary Ann3Crunch2WSommaire du match
11 - 2021-10-2268Cabaret Lady Mary Ann3Sound Tigers5LSommaire du match
13 - 2021-10-2480Cabaret Lady Mary Ann5Spiders6LSommaire du match
17 - 2021-10-28107Monsters4Cabaret Lady Mary Ann2LSommaire du match
18 - 2021-10-29121Cabaret Lady Mary Ann4Chill2WSommaire du match
21 - 2021-11-01135Manchots7Cabaret Lady Mary Ann3LSommaire du match
23 - 2021-11-03153Cabaret Lady Mary Ann5Heat6LXSommaire du match
26 - 2021-11-06170Cabaret Lady Mary Ann2Oil Kings5LSommaire du match
27 - 2021-11-07178Cabaret Lady Mary Ann1Comets4LSommaire du match
29 - 2021-11-09192Cabaret Lady Mary Ann1Monsters6LSommaire du match
32 - 2021-11-12209Cougars5Cabaret Lady Mary Ann4LSommaire du match
37 - 2021-11-17238Bears7Cabaret Lady Mary Ann5LSommaire du match
39 - 2021-11-19252Cabaret Lady Mary Ann7Sound Tigers4WSommaire du match
40 - 2021-11-20263Cabaret Lady Mary Ann7Wolf Pack6WSommaire du match
42 - 2021-11-22272Cabaret Lady Mary Ann3Bruins8LSommaire du match
44 - 2021-11-24288Oceanics5Cabaret Lady Mary Ann2LSommaire du match
46 - 2021-11-26306Wolf Pack5Cabaret Lady Mary Ann7WSommaire du match
49 - 2021-11-29319Phantoms6Cabaret Lady Mary Ann3LSommaire du match
51 - 2021-12-01334Admirals5Cabaret Lady Mary Ann0LSommaire du match
53 - 2021-12-03357Cabaret Lady Mary Ann4Caroline5LSommaire du match
54 - 2021-12-04362Crunch2Cabaret Lady Mary Ann3WXXSommaire du match
57 - 2021-12-07383Cabaret Lady Mary Ann4Bears6LSommaire du match
60 - 2021-12-10409Chill5Cabaret Lady Mary Ann6WSommaire du match
63 - 2021-12-13426Minnesota7Cabaret Lady Mary Ann6LSommaire du match
67 - 2021-12-17458Monsters5Cabaret Lady Mary Ann2LSommaire du match
68 - 2021-12-18464Sharks4Cabaret Lady Mary Ann5WXSommaire du match
70 - 2021-12-20473Thunder7Cabaret Lady Mary Ann5LSommaire du match
72 - 2021-12-22489Sound Tigers6Cabaret Lady Mary Ann5LSommaire du match
74 - 2021-12-24510Bruins3Cabaret Lady Mary Ann0LSommaire du match
76 - 2021-12-26519Senators6Cabaret Lady Mary Ann4LSommaire du match
80 - 2021-12-30548Stars3Cabaret Lady Mary Ann6WSommaire du match
81 - 2021-12-31560Cabaret Lady Mary Ann3Caroline4LSommaire du match
83 - 2022-01-02572Cabaret Lady Mary Ann5Thunder7LSommaire du match
88 - 2022-01-07596Cougars6Cabaret Lady Mary Ann5LXXSommaire du match
89 - 2022-01-08608Rocket6Cabaret Lady Mary Ann4LSommaire du match
91 - 2022-01-10619Cabaret Lady Mary Ann4Monsters6LSommaire du match
93 - 2022-01-12632Cabaret Lady Mary Ann4Senators5LXSommaire du match
95 - 2022-01-14645Cabaret Lady Mary Ann4Crunch5LXSommaire du match
96 - 2022-01-15654Cabaret Lady Mary Ann2Manchots8LSommaire du match
98 - 2022-01-17664Jayhawks4Cabaret Lady Mary Ann6WSommaire du match
100 - 2022-01-19681Comets5Cabaret Lady Mary Ann3LSommaire du match
103 - 2022-01-22707Marlies5Cabaret Lady Mary Ann4LSommaire du match
107 - 2022-01-26729Monarchs5Cabaret Lady Mary Ann2LSommaire du match
109 - 2022-01-28749Cabaret Lady Mary Ann1Cougars2LXSommaire du match
111 - 2022-01-30760Cabaret Lady Mary Ann5Minnesota3WSommaire du match
112 - 2022-01-31765Cabaret Lady Mary Ann5Baby Hawks1WSommaire du match
123 - 2022-02-11794Cabaret Lady Mary Ann5Rocket6LSommaire du match
125 - 2022-02-13809Cabaret Lady Mary Ann1Marlies6LSommaire du match
126 - 2022-02-14818Cabaret Lady Mary Ann2Monsters6LSommaire du match
128 - 2022-02-16830Las Vegas7Cabaret Lady Mary Ann3LSommaire du match
130 - 2022-02-18848Manchots6Cabaret Lady Mary Ann1LSommaire du match
132 - 2022-02-20861Cabaret Lady Mary Ann4Phantoms7LSommaire du match
133 - 2022-02-21868Cabaret Lady Mary Ann3Spiders6LSommaire du match
135 - 2022-02-23883Phantoms6Cabaret Lady Mary Ann4LSommaire du match
137 - 2022-02-25898Oil Kings3Cabaret Lady Mary Ann2LSommaire du match
139 - 2022-02-27915Cabaret Lady Mary Ann3Sharks4LSommaire du match
141 - 2022-03-01930Cabaret Lady Mary Ann5Admirals8LSommaire du match
142 - 2022-03-02940Cabaret Lady Mary Ann4Monarchs6LSommaire du match
144 - 2022-03-04957Cabaret Lady Mary Ann4Las Vegas6LSommaire du match
147 - 2022-03-07979Cabaret Lady Mary Ann3Jayhawks7LSommaire du match
149 - 2022-03-09987Marlies6Cabaret Lady Mary Ann3LSommaire du match
151 - 2022-03-111002Baby Hawks6Cabaret Lady Mary Ann3LSommaire du match
152 - 2022-03-121012Heat4Cabaret Lady Mary Ann3LXXSommaire du match
156 - 2022-03-161035Bruins5Cabaret Lady Mary Ann0LSommaire du match
158 - 2022-03-181055Rocket4Cabaret Lady Mary Ann3LSommaire du match
161 - 2022-03-211075Cabaret Lady Mary Ann2Chiefs9LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231090Cabaret Lady Mary Ann1Stars7LSommaire du match
165 - 2022-03-251102Spiders5Cabaret Lady Mary Ann6WXXSommaire du match
167 - 2022-03-271121Cabaret Lady Mary Ann1Cougars3LSommaire du match
168 - 2022-03-281128Cabaret Lady Mary Ann3Oceanics5LSommaire du match
170 - 2022-03-301138Crunch5Cabaret Lady Mary Ann6WSommaire du match
172 - 2022-04-011156Chiefs4Cabaret Lady Mary Ann2LSommaire du match
174 - 2022-04-031170Cabaret Lady Mary Ann3Marlies2WSommaire du match
175 - 2022-04-041182Cabaret Lady Mary Ann4Senators3WSommaire du match
177 - 2022-04-061192Cabaret Lady Mary Ann2Rocket6LSommaire du match
179 - 2022-04-081207Cabaret Lady Mary Ann2Bruins3LSommaire du match
181 - 2022-04-101225Wolf Pack3Cabaret Lady Mary Ann2LSommaire du match
184 - 2022-04-131243Senators5Cabaret Lady Mary Ann4LSommaire du match
186 - 2022-04-151265Bears4Cabaret Lady Mary Ann3LXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance79,65539,360
Assistance PCT97.14%96.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2903 - 96.76% 82,398$3,378,325$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,475,393$ 1,447,055$ 1,454,138$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,776$ 1,481,323$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,738$ 0$




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