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Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Brendan Cwik | Morale : 50 | Moyenne d’équipe : 61

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralBrendan Cwik
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro18
Équipe Mineure18
Limite contact 36 / 100
Espoirs129


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Alexandre TexierXX100.0078448574726570693170706885656771506702700$
2Tyson Kozak (R)XXX100.0091459890675964627759567725525267506502300$
3Brad Lambert (R)X100.0073429179655776713561626525464666506302200$
4Logan BrownX100.0088869269865252567061457243565659506002821,530,000$
5Hunter Haight (R)X100.0070628961627478617654646161444464506002221,314,000$
6Brendan BrissonXX100.0070687462687984605054626259464663506002500$
7Nate SmithX100.0068657661656364637959626159454563505902821,409,000$
8Cross HanasXXX100.0074718264715351627857636460444463505902400$
9Daemon Hunt (R)X100.0069429374715954622554478225484862506402400$
10Jakub BrabenecX100.0075718462717479562546526349444460506002321,107,000$
11Hunter McDonald (R)X100.0080876259877381452535396237444451505902421,192,000$
12Simon Lundmark (R)X100.0077728758726571462537396137444452505702621,161,000$
13Aleksi HeimosalmiX100.0067637756636367502543415739444451505402321,277,000$
Rayé
1Alex Bump (R)X100.007343957771637067256980672545457450660223950,000$
2Matyas Melovsky (R)X100.007571856271525157715356635344445950570221750,000$
3Josh Brown (R)X100.0076826258825051472539406138444451505503221,000,000$
MOYENNE D’ÉQUIPE100.00756383677263665846535565454747615060
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Akira Schmid100.006864638365638068656871555668506602621,272,000$
Rayé
1Carter Hart (R)100.006652547765598167656683646566506502822,000,000$
MOYENNE D’ÉQUIPE100.0067585980656181686567776061675066
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
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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Akira SchmidSenators (OTT)G262000-05-12CHENo190 Lbs6 ft5NoNoN/ANoNo22025-10-22FalseFalsePro & Farm1,272,000$1,272,000$0$0$No1,272,000$--------1,272,000$--------No--------Lien
Aleksi HeimosalmiSenators (OTT)D232003-05-08FINNo170 Lbs5 ft11NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,277,000$1,277,000$0$0$No1,277,000$--------1,277,000$--------No--------Lien
Alex BumpSenators (OTT)LW222003-11-20USAYes195 Lbs6 ft0NoNoProspectNoNo32026-10-27FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Alexandre TexierSenators (OTT)LW/RW271999-09-13FRANo196 Lbs6 ft1NoNoAssign ManuallyNoNo02025-12-08FalseFalsePro & Farm0$0$No---------------------------Lien
Brad LambertSenators (OTT)RW222003-12-19FINYes173 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brendan BrissonSenators (OTT)LW/RW252001-10-22USANo188 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Carter HartSenators (OTT)G281998-08-13CANYes196 Lbs6 ft2NoNoDraftNoNo22026-10-27FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Cross HanasSenators (OTT)C/LW/RW242002-01-05USANo190 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Daemon HuntSenators (OTT)D242002-05-15CANYes193 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Hunter HaightSenators (OTT)C222004-04-04CANYes173 Lbs5 ft10NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,314,000$1,314,000$0$0$No1,314,000$--------1,314,000$--------No--------Lien
Hunter McDonaldSenators (OTT)D242002-05-11USAYes238 Lbs6 ft4NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,192,000$1,192,000$0$0$No1,192,000$--------1,192,000$--------No--------Lien
Jakub BrabenecSenators (OTT)D232003-09-11CZENo190 Lbs6 ft1NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,107,000$1,107,000$0$0$No1,107,000$--------1,107,000$--------No--------Lien
Josh BrownSenators (OTT)D321994-01-21USAYes217 Lbs6 ft5NoNoProspectNoNo22026-10-27FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Logan BrownSenators (OTT)C281998-03-05USANo220 Lbs6 ft7NoNoDraftNoNo22025-10-22FalseFalsePro & Farm1,530,000$1,530,000$0$0$No1,530,000$--------1,530,000$--------No--------Lien
Matyas MelovskySenators (OTT)C222004-05-25SVKYes190 Lbs6 ft1NoNoDraftNoNo12026-10-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Nate SmithSenators (OTT)C281998-10-19USANo177 Lbs6 ft0NoNoN/ANoNo22025-10-22FalseFalsePro & Farm1,409,000$1,409,000$0$0$No1,409,000$--------1,409,000$--------No--------Lien
Simon LundmarkSenators (OTT)D262000-10-08SWEYes190 Lbs6 ft2NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,161,000$1,161,000$0$0$No1,161,000$--------1,161,000$--------No--------Lien
Tyson KozakSenators (OTT)C/LW/RW232002-12-29CANYes185 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1824.94193 Lbs6 ft21.33831,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson KozakLogan Brown40122
2Hunter HaightBrad LambertNate Smith30122
3Tyson KozakLogan Brown20122
4Alexandre TexierBrad Lambert10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldSimon Lundmark40122
2Daemon HuntAleksi Heimosalmi30122
3Daemon HuntAleksi Heimosalmi20122
4Daemon Hunt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan BrownTyson Kozak60122
2Hunter HaightBrad LambertNate Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldAleksi Heimosalmi60122
2Daemon HuntSimon Lundmark40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertHunter Haight60122
2Nate Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldAleksi Heimosalmi60122
2Daemon HuntSimon Lundmark40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Lambert60122Simon LundmarkDaemon Hunt60122
2Hunter Haight40122Hunter McDonald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hunter HaightTyson Kozak60122
2Brad Lambert40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldDaemon Hunt60122
2Aleksi Heimosalmi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brad Lambert, Hunter Haight, Brad Lambert, Hunter Haight
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Hunter McDonald, Daemon HuntDaemon HuntSimon Lundmark, Daemon Hunt
Tirs de pénalité
, Tyson Kozak, Nate Smith, Brad Lambert, Hunter Haight
Gardien
#1 : , #2 : Akira Schmid


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%000%0000%000%000%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%000%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%000%000%
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%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
43 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,496,200$ 1,496,200$ 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$




Senators Leaders statistiques des joueurs (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

Senators 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

Senators 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

Senators Leaders statistiques des joueurs (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

Senators 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