BELLEVILLE Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Miguel Tousignant | Morale : 99 | Moyenne d’équipe : 68
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralMiguel Tousignant
EntraîneurDean Evason
DivisionFrenette
ConférenceConference A
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro15
Équipe Mineure28
Limite contact 43 / 55
Espoirs34


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique10-68-0 (0.128%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Matt PuempelX100.006946816278788363686564616675686799690271750,000$
2Kurtis GabrielX100.009289535986697362586062656175685399680275750,000$
3Mike VecchioneX100.005935916369768164725765596375713699670271750,000$
4Timothy LiljegrenX100.007142857274878169306758655263668399700212750,000$
5Josh MahuraX100.005735926672807567306961605365636399680221750,000$
6Jimmy SchuldtX100.006946805978848956305856574871664299670251750,000$
7Calle RosenX100.005238886375807362306657605273673799660261750,000$
8Daniel BrickleyX100.007442865784747155305453574571664299640251750,000$
Rayé
1Sam BennettXXX100.0086726970767885707869675970696786997202443,400,000$
2Andrew PoturalskiXX100.006139876570778367716458616372685799680266750,000$
3Sam AnasXX100.006135936461798463766561576275683699670276750,000$
4Brandon GignacXX100.005843825766787358655955565367646299630226750,000$
5Fredrik ClaessonX100.007155706277797660306360635077694799680276750,000$
MOYENNE D’ÉQUIPE100.00684781637478796351636060577167559967
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
1Dylan Ferguson100.00777583757675777675777665694999690
2Mads Sogaard (R)100.00758179957473757473757461657699680
Rayé
MOYENNE D’ÉQUIPE100.0076788185757476757476756367639969
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason82868883847863CAN562100,000$


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 restantSalaire moyenSalaire 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
Andrew PoturalskiBELLEVILLE Senators (OTW)LW/RW2614/01/1994No86 Kg180 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Brandon GignacBELLEVILLE Senators (OTW)C/LW2207/11/1997No77 Kg180 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Calle RosenBELLEVILLE Senators (OTW)D2602/02/1994No85 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$500,000$500,000$0$0$NoLien
Daniel BrickleyBELLEVILLE Senators (OTW)D2530/03/1995No92 Kg191 CMNoNoNo1Pro & Farm750,000$750,000$500,000$500,000$0$0$NoLien
Dylan FergusonBELLEVILLE Senators (OTW)G2120/09/1998No86 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Fredrik ClaessonBELLEVILLE Senators (OTW)D2724/11/1992No89 Kg185 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Jimmy SchuldtBELLEVILLE Senators (OTW)D2511/05/1995No92 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$500,000$500,000$0$0$NoLien
Josh MahuraBELLEVILLE Senators (OTW)D2205/05/1998No85 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Kurtis GabrielBELLEVILLE Senators (OTW)RW2720/04/1993No91 Kg193 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Mads SogaardBELLEVILLE Senators (OTW)G1913/12/2000Yes89 Kg201 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Matt PuempelBELLEVILLE Senators (OTW)LW2724/01/1993No91 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Mike VecchioneBELLEVILLE Senators (OTW)C2725/02/1993No88 Kg178 CMNoNoNo1Pro & Farm750,000$750,000$500,000$500,000$0$0$NoLien
Sam AnasBELLEVILLE Senators (OTW)C/RW2701/06/1993No74 Kg173 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Sam BennettBELLEVILLE Senators (OTW)C/LW/RW2420/06/1996No89 Kg185 CMNoNoNo4Pro & Farm3,400,000$3,400,000$3,400,000$3,400,000$0$0$No3,400,000$3,400,000$3,400,000$Lien
Timothy LiljegrenBELLEVILLE Senators (OTW)D2130/04/1999No90 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1524.4087 Kg185 CM3.27926,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
131122
226122
3Mike Vecchione23122
4Matt Puempel20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Josh MahuraTimothy Liljegren26122
3Daniel BrickleyJimmy Schuldt23122
420122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Josh MahuraTimothy Liljegren45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Josh MahuraTimothy Liljegren45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
245122Josh MahuraTimothy Liljegren45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Josh MahuraTimothy Liljegren45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Matt Puempel, Mike Vecchione, Matt PuempelMike Vecchione
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Brickley, Jimmy Schuldt, Josh MahuraDaniel BrickleyJimmy Schuldt, Josh Mahura
Tirs de pénalité
, , , , Matt Puempel
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Matt Puempel, , , Mike Vecchione, , ,
Lignes de défense personnalisées en prolongation
, , Josh Mahura, Timothy Liljegren, Daniel Brickley


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$ 1,390,000$ 1,290,000$ 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$




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
Saison régulière
3680106800200256610-3544063300100139290-1514043500100117320-203222564096650011186590253178390584213489107531912501843217.39%1507748.67%01176226451.94%730166743.79%730153547.56%176013082171483871411
Total Saison régulière80106800200256610-3544063300100139290-1514043500100117320-203222564096650011186590253178390584213489107531912501843217.39%1507748.67%01176226451.94%730166743.79%730153547.56%176013082171483871411