Connexion

Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Francois Juteau | Morale : 40 | Moyenne d’équipe : 65
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrancois Juteau
EntraîneurGuy Carbonneau
DivisionJohn-Ahearne
ConférenceRobert-Lebel
CapitaineZac Dalpe
Assistant #1Luca Sbisa
Assistant #2Jared Knight


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 250
Espoirs0


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
1Zac Dalpe (C)X100.007135777269787877737565667969623040710281950,000$
2Austin WatsonX100.007528796768707470706771636855503440670251550,000$
3Jared Knight (A)X100.006921726673727668727270666553503440670251700,000$
4Joakim NordstromX100.007945666868667671636969605851503640660251600,000$
5Ryan Fitzgerald (R)X100.006743766670696874756367636648504540660234750,000$
6Marc Michaelis (R)X100.007139726862715767677168676148485640660221500,000$
7Gerald Mayhew (R)X100.005642725762698076696079517755524440650251650,000$
8Richard Nejezchleb (R)X100.005746736567696463686674586047483740640232650,000$
9Robert Thomas (R)X100.004935756249636667808370465140409040630192500,000$
10Pierre-Luc Dubois (R)X100.007236726383567463537463654942427648630191500,000$
11Maxime Comtois (R)X100.007450656871577968425869554840408333620192500,000$
12Cody Glass (R)X100.005328715748606562717663445040408240590192500,000$
13Aaron NessX100.007139727472777272527570686368532940700271950,000$
14Luca Sbisa (A)X100.006626707470756477457763755663543040700271950,000$
15Dillon Heatherington (R)X100.006824866767707665496958815955454540690223800,000$
16Matt Grzelcyk (R)X100.006926717863687173477552705756494340670231800,000$
17Henri Jokiharju (R)X100.006830835962686256346846754140407740640192500,000$
18Victor Mete (R)X100.005036747759607174417561654942427140630191500,000$
Rayé
1Maxim Mamin (R)X100.006134767159666964686567596445464940630224750,000$
2Nathan Noel (R)X100.006539725177746755667571496246484440630221500,000$
3Alex Schoenborn (R)X100.006648625970587161566568464843434440600211650,000$
4Francis Perron (R)X100.005837696046556967707667376043434940600212550,000$
5Cameron Hughes (R)X100.005228665168595857585351444944445240530211550,000$
6Jesse Graham (R)X100.005543718066616768497059704945453840650231650,000$
7Tarmo Reunanen (R)X100.005841746664516058376653695443425740610191500,000$
MOYENNE D’ÉQUIPE100.00643673666566696759706560584947514064
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
1Eric Comrie100.00728374747676727580766155515040740221800,000$
2Maxime Lagace (R)100.00646265786775767470656647504540690242500,000$
Rayé
1Peyton Jones (R)100.00556462536060635258615541416140580211500,000$
MOYENNE D’ÉQUIPE100.0064706768687070676967614847524067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Carbonneau75915889437754CAN522750,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire 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
Aaron NessMonsters (Clb)D271990-01-01No182 Lbs5 ft10NoNoNo1Pro & Farm950,000$950,000$0$0$No
Alex SchoenbornMonsters (Clb)RW211996-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Austin WatsonMonsters (Clb)RW251992-01-01No193 Lbs6 ft4NoNoNo1Pro & Farm550,000$550,000$0$0$No
Cameron HughesMonsters (Clb)C211996-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm550,000$550,000$0$0$NoLien
Cody GlassMonsters (Clb)C191998-01-01Yes206 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Dillon HeatheringtonMonsters (Clb)D221995-01-01Yes185 Lbs6 ft4NoNoNo3Pro & Farm800,000$800,000$0$0$No900,000$975,000$Lien
Eric ComrieMonsters (Clb)G221995-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Francis PerronMonsters (Clb)LW211996-01-01Yes178 Lbs6 ft2NoNoNo2Pro & Farm550,000$550,000$0$0$No550,000$Lien
Gerald MayhewMonsters (Clb)RW251992-01-01Yes161 Lbs6 ft4NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Henri JokiharjuMonsters (Clb)D191998-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Jared KnightMonsters (Clb)C251992-01-01No203 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$No
Jesse GrahamMonsters (Clb)D231994-01-01Yes170 Lbs5 ft11NoNoNo1Pro & Farm650,000$650,000$0$0$No
Joakim NordstromMonsters (Clb)LW251992-01-01No189 Lbs6 ft1NoNoNo1Pro & Farm600,000$600,000$0$0$No
Luca SbisaMonsters (Clb)D271990-01-01No207 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$No
Marc MichaelisMonsters (Clb)LW221995-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Matt GrzelcykMonsters (Clb)D231994-01-01Yes171 Lbs5 ft9NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Maxim MaminMonsters (Clb)C221995-01-01Yes185 Lbs6 ft1NoNoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Maxime ComtoisMonsters (Clb)LW191998-01-01Yes210 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Maxime LagaceMonsters (Clb)G241993-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Nathan NoelMonsters (Clb)C221995-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Peyton JonesMonsters (Clb)G211996-01-01Yes209 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Pierre-Luc DuboisMonsters (Clb)LW191998-01-01Yes218 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Richard NejezchlebMonsters (Clb)RW231994-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien
Robert ThomasMonsters (Clb)C191998-01-01Yes218 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Ryan FitzgeraldMonsters (Clb)C231994-01-01Yes185 Lbs5 ft10NoNoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Tarmo ReunanenMonsters (Clb)D191998-01-01Yes179 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Victor MeteMonsters (Clb)D191998-01-01Yes183 Lbs5 ft9NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Zac DalpeMonsters (Clb)C281989-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2822.32192 Lbs6 ft11.54635,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marc MichaelisZac DalpeAustin Watson40122
2Joakim NordstromJared KnightGerald Mayhew30122
3Pierre-Luc DuboisRyan FitzgeraldRichard Nejezchleb20122
4Maxime ComtoisRobert ThomasZac Dalpe10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessLuca Sbisa40122
2Dillon HeatheringtonMatt Grzelcyk30122
3Henri JokiharjuVictor Mete20122
4Aaron NessLuca Sbisa10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marc MichaelisZac DalpeAustin Watson60122
2Joakim NordstromJared KnightGerald Mayhew40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessLuca Sbisa60122
2Dillon HeatheringtonMatt Grzelcyk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zac DalpeJared Knight60122
2Austin WatsonRyan Fitzgerald40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessLuca Sbisa60122
2Dillon HeatheringtonMatt Grzelcyk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zac Dalpe60122Aaron NessLuca Sbisa60122
2Jared Knight40122Dillon HeatheringtonMatt Grzelcyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zac DalpeJared Knight60122
2Austin WatsonRyan Fitzgerald40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessLuca Sbisa60122
2Dillon HeatheringtonMatt Grzelcyk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc MichaelisZac DalpeAustin WatsonAaron NessLuca Sbisa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc MichaelisZac DalpeAustin WatsonAaron NessLuca Sbisa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody Glass, Richard Nejezchleb, Pierre-Luc DuboisCody Glass, Richard NejezchlebPierre-Luc Dubois
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Henri Jokiharju, Victor Mete, Dillon HeatheringtonHenri JokiharjuVictor Mete, Dillon Heatherington
Tirs de pénalité
Zac Dalpe, Jared Knight, Austin Watson, Ryan Fitzgerald, Marc Michaelis
Gardien
#1 : Eric Comrie, #2 : Maxime Lagace


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,780,000$ 1,680,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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