Connexion

Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Didier Theodore | Morale : 40 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDidier Theodore
EntraîneurMario Lemieux
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 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
1Zachary Sanford (R)X100.007322718169817280687374687557534740720231950,000$
2Zemgus Girgensons (R)X100.008034827376787172757478617457504440720231950,000$
3Oliver Bjorkstrand (R)X100.007330887773747972677087566855465740710221950,000$
4Tomas JurcoX100.007733767282716871717673657364603640710251700,000$
5Christoph Bertschy (R)X100.006527818074796873707171697955474640700232750,000$
6Jacob De La Rose (R)X100.006923856876837061687271797155465440700222850,000$
7Brendan Perlini (R)X100.006822827675717470646684567247445543690211800,000$
8Jordan SchroederX100.006133806871736877696872666962603140690271925,000$
9C.J Suess (R)X100.007331757275645970657076637048504940680231800,000$
10Kevin Rooney (R)X100.006545757268727567787071617352523840680241500,000$
11Grant Besse (R)X100.005832777062716269706366627147493340640231500,000$
12Vitaly Abramov (R)X100.005035747167626069536174416742426540610191500,000$
13Jordan Schmaltz (R)X100.007137817674777573537266837067524344730241950,000$
14Keegan Lowe (R)X100.007027777378856770537469745962504240710241500,000$
15Joonas Lyytinen (R)X100.007029796864566363416847795249484740660221500,000$
16Nikita Nesterov (R)X100.006625797465716666477066666548484240660241500,000$
17Mason Geertsen (R)X100.006945785963547663485751675647464340630221500,000$
18Jonas Siegenthaler (R)X100.005726845860576751286144754243435240610202500,000$
19Gustav Forsling (R)X100.006833735752666258376065535243435440580211250,000$
Rayé
1Arttu Ruotsalainen (R)X100.004934676158696666515380506344445640600201500,000$
2Brandon Biro (R)X100.006038736456605864655863506441416240590202500,000$
3Cliff Pu (R)X100.005423685161595162545867336341415340550191500,000$
4Bryce Kindopp (R)X100.005732585361515654534959515540407440530192500,000$
MOYENNE D’ÉQUIPE100.00653177686869676759666862655148494066
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
1Garret Sparks100.00767388656872776167827153494040700242950,000$
2David Rittich (R)100.00676585615781845557857651506440680254950,000$
Rayé
1Scott Wedgewood100.00656470646568686163696048492940640253750,000$
2Olle Eriksson Ek (R)100.00544860545855505449515540406440520192500,000$
MOYENNE D’ÉQUIPE100.0066637661626970585972664847494064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Lemieux58697272515555CAN5311,000,000$


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
Arttu RuotsalainenSenators (Ott)C201997-01-01Yes181 Lbs5 ft8NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Brandon BiroSenators (Ott)LW201997-01-01Yes170 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Brendan PerliniSenators (Ott)LW211996-01-01Yes211 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Bryce KindoppSenators (Ott)RW191998-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
C.J SuessSenators (Ott)LW231994-01-01Yes190 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Christoph BertschySenators (Ott)C231994-01-01Yes182 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Cliff PuSenators (Ott)RW191998-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
David RittichSenators (Ott)G251992-01-01Yes206 Lbs6 ft3NoNoNo4Pro & Farm950,000$950,000$0$0$No950,000$1,500,000$2,500,000$Lien
Garret SparksSenators (Ott)G241993-01-01No207 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$
Grant BesseSenators (Ott)RW231994-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Gustav ForslingSenators (Ott)D211996-01-01Yes186 Lbs6 ft0NoNoNo1Pro & Farm250,000$250,000$0$0$NoLien
Jacob De La RoseSenators (Ott)C221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Jonas SiegenthalerSenators (Ott)D201997-01-01Yes210 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Joonas LyytinenSenators (Ott)D221995-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Jordan SchmaltzSenators (Ott)D241993-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Jordan SchroederSenators (Ott)C271990-01-01No175 Lbs5 ft8NoNoNo1Pro & Farm925,000$925,000$0$0$No
Keegan LoweSenators (Ott)D241993-01-01Yes200 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kevin RooneySenators (Ott)C241993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Mason GeertsenSenators (Ott)D221995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Nikita NesterovSenators (Ott)D241993-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Oliver BjorkstrandSenators (Ott)RW221995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Olle Eriksson EkSenators (Ott)G191998-01-01Yes189 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Scott WedgewoodSenators (Ott)G251992-01-01No190 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$950,000$
Tomas JurcoSenators (Ott)RW251992-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$No
Vitaly AbramovSenators (Ott)LW191998-01-01Yes181 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Zachary SanfordSenators (Ott)LW231994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Zemgus GirgensonsSenators (Ott)LW231994-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.33189 Lbs6 ft11.44667,593$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordChristoph BertschyTyler Pitlick40122
2Zemgus GirgensonsJacob De La RoseOliver Bjorkstrand30122
3Brendan PerliniJordan SchroederTomas Jurco15122
4C.J SuessKevin RooneyGrant Besse15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzKeegan Lowe40122
2Joonas LyytinenNikita Nesterov30122
3Mason GeertsenJonas Siegenthaler20122
4Gustav ForslingJordan Schmaltz10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordChristoph BertschyTyler Pitlick60014
2Zemgus GirgensonsJacob De La RoseOliver Bjorkstrand40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christoph BertschyZachary Sanford60122
2Jacob De La RoseZemgus Girgensons40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christoph Bertschy60122Jordan SchmaltzKeegan Lowe60122
2Jacob De La Rose40122Joonas LyytinenNikita Nesterov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christoph BertschyZachary Sanford60122
2Jacob De La RoseZemgus Girgensons40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordChristoph BertschyTyler PitlickJordan SchmaltzKeegan Lowe
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordChristoph BertschyTyler PitlickJordan SchmaltzKeegan Lowe
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Jurco, Christoph Bertschy, Jacob De La RoseTomas Jurco, Christoph BertschyTomas Jurco
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Geertsen, Jonas Siegenthaler, Gustav ForslingMason GeertsenMason Geertsen, Jonas Siegenthaler
Tirs de pénalité
Tyler Pitlick, Zachary Sanford, Zemgus Girgensons, Oliver Bjorkstrand, Tomas Jurco
Gardien
#1 : Garret Sparks, #2 : David Rittich, #3 : 0


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$ 2,135,000$ 1,720,000$ 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$




Senators 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

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 (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