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Connexion

Senators
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 3 | GA: 1 | PP%: 20.00% | PK%: 83.33%
DG: Farlou Ferland | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #17 vs Marlies
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Centre de jeu
Rocket
0-1-0, 0pts
1
FINAL
3 Senators
1-0-0, 2pts
Team Stats
L1StreakW1
0-0-0Home Record1-0-0
0-1-0Away Record0-0-0
0-1-0Last 10 Games1-0-0
1.00Buts par match 3.00
3.00Buts contre par match 1.00
16.67%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique83.33%
Senators
1-0-0, 2pts
2022-10-14
Marlies
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 1.00
1.00Buts contre par match 1.00
20.00%Pourcentage en avantage numérique8.33%
83.33%Pourcentage en désavantage numérique100.00%
Senators
1-0-0, 2pts
2022-10-15
Bruins
2-0-0, 4pts
Statistiques d’équipe
W1SéquenceW2
1-0-0Fiche domicile1-0-0
0-0-0Fiche visiteur1-0-0
1-0-010 derniers matchs2-0-0
3.00Buts par match 3.00
1.00Buts contre par match 3.00
20.00%Pourcentage en avantage numérique10.00%
83.33%Pourcentage en désavantage numérique90.00%
Crunch
0-0-1, 1pts
2022-10-16
Senators
1-0-0, 2pts
Statistiques d’équipe
SOL1SéquenceW1
0-0-1Fiche domicile1-0-0
0-0-0Fiche visiteur0-0-0
0-0-110 derniers matchs1-0-0
0.00Buts par match 3.00
1.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique20.00%
100.00%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Luke Glendening
1
Passes
Oskar Lindblom
2
Points
Oskar Lindblom
2
Plus/Moins
Jacob Bernard-Docker
2
Victoires
Chris Driedger
1
Pourcentage d’arrêts
Chris Driedger
0.947

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
30
30.00 Avg
Pourcentage en avantage numérique
20.0%
1 GF
Début de zone offensive
40.6%
Buts contre
1
1.00 GAA
Tirs contre
19
19.00 Avg
Pourcentage en désavantage numérique
83.3%
1 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralFarlou Ferland
EntraîneurJohn Stevens
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,979
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 60
Espoirs28


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
1Alex Turcotte (R)0X100.007543917467596156525055632544446050002122,475,000$
2Garnet Hathaway0X100.009858797578659262356371792568697450003031,500,000$
3Marco Rossi (R)0X100.006964797764606064806460625744446450002141,744,167$
4Drake Caggiula0XX100.007342927863685760326360772565656650002811,000,000$
5Oskar Lindblom0X100.007644907771679063366468722564647150002613,000,000$
6Loui Eriksson0XX100.005941977473646663546756782586866550003811,000,000$
7Luke Glendening0XX100.008755937769679459915960822573736850003311,000,000$
8Paul Byron0XXX100.008944978559636362516068778070727150003311,000,000$
9Kevin Rooney0XX100.00794490767267835567605983256363675000291700,000$
10Ryan Dzingel0XX100.006794707872666364585970712566666950003031,100,000$
11Tyler Bozak0XX100.006342907572626661736457787478816550003612,000,000$
12Tyson Jost0XX100.006942878567639360606259837566686750002421,673,333$
13Ronald Attard0X100.008145847177704369255054782545456350002321,350,000$
14Nils Lundkvist (R)0X100.006742997666645864255048662546465950002241,775,000$
15Jacob Bernard-Docker (R)0X100.006542857570656258255047652545455850002241,208,333$
16Lassi Thomson (R)0X100.007944957270727269256447692545456350002221,350,000$
17Helge Grans (R)0X100.00827795607752525325464665444444575000204925,000$
18Carl Dahlstrom0X100.00868393678359625225463971375959565000273850,000$
Rayé
1Carl Grundstrom0X100.00904685807358765935607061255959695000244725,000$
2Greg McKegg0XXX100.00774495717058565855575777256565645000303750,000$
3Jay Beagle0X100.008065777480676059985356822575756450003623,000,000$
4Matthew Peca0XXX100.007163917963727466806364656153536750002911,300,000$
5Matt Irwin0X94.15864589737561526325534874256767625000342700,000$
6Tyler Tucker (R)0X100.00717658637663674825404059384444505000224808,333$
MOYENNE D’ÉQUIPE99.7577548875716468604857577236606064500
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
1Chris Driedger100.00696059857860776967687551526850002833,500,000$
2Malcolm Subban100.0046486081459145509081455555625000283850,000$
Rayé
1Louis Domingue100.0061425382676160666463305959615000303750,000$
MOYENNE D’ÉQUIPE100.005950578363716162747150555564500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens81848580827770CAN5631,500,000$


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
1Oskar LindblomSenators (OTT)LW1022100014000.00%01818.830113400002000.00%000002.1200000001
2Luke GlendeningSenators (OTT)C/RW11121203340025.00%01515.6801114000001015.681800002.5500000100
3Ronald AttardSenators (OTT)D11010200160016.67%22020.631014300003000.00%000000.9700000000
4Alex TurcotteSenators (OTT)C110110013112100.00%01414.7200001000000014.72500001.3600000010
5Jacob Bernard-DockerSenators (OTT)D1011200100000.00%01818.770000200001000.00%000001.0700000000
6Loui ErikssonSenators (OTT)LW/RW1011100000010.00%01616.0000004000000016.00200001.2500000000
7Helge GransSenators (OTT)D1011220200000.00%11818.220000100003000.00%000001.1000000000
8Nils LundkvistSenators (OTT)D1000000022010.00%02020.870002300004000.00%000000.00%00000000
9Garnet HathawaySenators (OTT)RW1000000201000.00%01717.1800002000060017.181000000.00%00000000
10Marco RossiSenators (OTT)C1000000011000.00%01616.4700012000000016.471800000.00%00000000
11Drake CaggiulaSenators (OTT)LW/RW1000020102000.00%066.720001100000000.00%000000.00%00000000
12Matt IrwinSenators (OTT)D1000000000000.00%188.250000100002000.00%000000.00%00000000
13Lassi ThomsonSenators (OTT)D1000000230000.00%42323.620000300006000.00%000000.00%00000000
14Paul ByronSenators (OTT)C/LW/RW1000000020000.00%01212.9000000000070012.90700000.00%00000000
15Kevin RooneySenators (OTT)C/LW1000120212010.00%01414.650000000001000.00%100000.00%00000000
16Ryan DzingelSenators (OTT)LW/RW1000100003020.00%01212.830000000000000.00%100000.00%00000000
17Tyler BozakSenators (OTT)C/RW1000000121220.00%01414.1300001000000014.13300000.00%00000000
18Tyson JostSenators (OTT)C/LW1000020233010.00%01717.2300022000020017.23400000.00%00000000
Statistiques d’équipe totales ou en moyenne183691012017223031010.00%828715.9812314400000431059.42%6900000.6300000111
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
1Chris DriedgerSenators (OTT)11000.9471.0060001190000.00%010000
Statistiques d’équipe totales ou en moyenne11000.9471.006000119000010000


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
Alex TurcotteSenators (OTT)C212001-02-25Yes185 Lbs5 ft11NoNoNo2Pro & Farm2,475,000$2,407,192$925,000$899,658$0$0$No2,475,000$Lien
Carl DahlstromSenators (OTT)D271995-01-28No221 Lbs6 ft4NoNoNo3Pro & Farm850,000$826,712$850,000$826,712$0$0$No850,000$850,000$Lien
Carl GrundstromSenators (OTT)LW241997-12-01No201 Lbs6 ft0NoNoNo4Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$725,000$725,000$Lien
Chris DriedgerSenators (OTT)G281994-05-18No208 Lbs6 ft4NoNoNo3Farm Only3,500,000$3,404,110$3,500,000$3,404,110$0$0$No3,500,000$3,500,000$Lien
Drake CaggiulaSenators (OTT)LW/RW281994-06-20No176 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Garnet HathawaySenators (OTT)RW301991-11-23No212 Lbs6 ft2YesNoNo3Pro & Farm1,500,000$1,458,904$1,500,000$1,458,904$0$0$No1,500,000$1,500,000$Lien
Greg McKeggSenators (OTT)C/LW/RW301992-06-17No192 Lbs6 ft0YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Helge GransSenators (OTT)D202002-05-10Yes205 Lbs6 ft3NoNoNo4Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$925,000$
Jacob Bernard-DockerSenators (OTT)D222000-06-30Yes190 Lbs6 ft0NoNoNo4Pro & Farm1,208,333$1,175,228$1,208,333$1,175,228$0$0$No1,208,333$1,208,333$1,208,333$
Jay BeagleSenators (OTT)C361985-10-16No210 Lbs6 ft3NoNoNo2Pro & Farm3,000,000$2,917,808$3,000,000$2,917,808$0$0$No3,000,000$Lien
Kevin RooneySenators (OTT)C/LW291993-05-21No190 Lbs6 ft2NoNoNo1Pro & Farm700,000$680,822$700,000$680,822$0$0$NoLien
Lassi ThomsonSenators (OTT)D222000-09-24Yes190 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$1,313,014$894,167$869,669$0$0$No1,350,000$Lien
Loui ErikssonSenators (OTT)LW/RW381984-07-17No196 Lbs6 ft2YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Louis DomingueSenators (OTT)G301992-03-06No208 Lbs6 ft3YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Luke GlendeningSenators (OTT)C/RW331989-04-27No192 Lbs5 ft11YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Malcolm SubbanSenators (OTT)G281993-12-21No215 Lbs6 ft2YesNoNo3Pro & Farm850,000$826,712$850,000$826,712$0$0$No850,000$850,000$Lien
Marco RossiSenators (OTT)C212001-09-23Yes183 Lbs5 ft9NoNoNo4Pro & Farm1,744,167$1,696,382$1,744,167$1,696,382$0$0$No1,744,167$1,744,167$1,744,167$
Matt Irwin (sur la masse salariale)Senators (OTT)D341987-11-29No207 Lbs6 ft1NoNoNo2Pro & Farm700,000$680,822$700,000$680,822$0$0$Yes700,000$Lien
Matthew PecaSenators (OTT)C/LW/RW291993-04-27No182 Lbs5 ft8NoNoNo1Pro & Farm1,300,000$1,264,384$1,300,000$1,264,384$0$0$NoLien
Nils LundkvistSenators (OTT)D222000-07-27Yes187 Lbs5 ft10NoNoNo4Pro & Farm1,775,000$1,726,370$1,775,000$1,726,370$0$0$No1,775,000$1,775,000$1,775,000$
Oskar LindblomSenators (OTT)LW261996-08-15No191 Lbs6 ft1NoNoNo1Pro & Farm3,000,000$2,917,808$3,000,000$2,917,808$0$0$NoLien
Paul ByronSenators (OTT)C/LW/RW331989-04-27No165 Lbs5 ft9YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Ronald AttardSenators (OTT)D231999-03-20No207 Lbs6 ft3NoNoNo2Pro & Farm1,350,000$1,313,014$1,350,000$1,313,014$0$0$No1,350,000$Lien
Ryan DzingelSenators (OTT)LW/RW301992-03-09No190 Lbs6 ft0YesNoNo3Pro & Farm1,100,000$1,069,863$1,100,000$1,069,863$0$0$No1,100,000$1,100,000$Lien
Tyler BozakSenators (OTT)C/RW361986-03-19No199 Lbs6 ft1YesNoNo1Pro & Farm2,000,000$1,945,205$2,000,000$1,945,205$0$0$NoLien
Tyler TuckerSenators (OTT)D222000-03-01Yes205 Lbs6 ft2NoNoNo4Pro & Farm808,333$786,187$808,333$786,187$0$0$No808,333$808,333$808,333$Lien
Tyson JostSenators (OTT)C/LW241998-03-14No187 Lbs5 ft11NoNoNo2Pro & Farm1,673,333$1,627,488$1,673,333$1,627,488$0$0$No1,673,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.63196 Lbs6 ft12.411,408,673$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostMarco RossiTyler Bozak35122
2Oskar LindblomLuke GlendeningLoui Eriksson30122
3Kevin RooneyAlex TurcotteRyan Dzingel25122
4Drake CaggiulaPaul ByronGarnet Hathaway10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonCarl Dahlstrom35122
2Ronald AttardNils Lundkvist30122
3Jacob Bernard-DockerHelge Grans25122
4Lassi ThomsonCarl Dahlstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostMarco RossiGarnet Hathaway60122
2Oskar LindblomLuke GlendeningLoui Eriksson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonCarl Dahlstrom60122
2Ronald AttardNils Lundkvist40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Garnet HathawayPaul Byron60122
2Tyson JostOskar Lindblom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonCarl Dahlstrom60122
2Ronald AttardNils Lundkvist40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Garnet Hathaway60122Lassi ThomsonCarl Dahlstrom60122
2Paul Byron40122Ronald AttardNils Lundkvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Garnet HathawayPaul Byron60122
2Tyson JostOskar Lindblom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonCarl Dahlstrom60122
2Ronald AttardNils Lundkvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostPaul ByronGarnet HathawayLassi ThomsonCarl Dahlstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostPaul ByronGarnet HathawayLassi ThomsonCarl Dahlstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Turcotte, Tyler Bozak, Kevin RooneyAlex Turcotte, Tyler BozakKevin Rooney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bernard-Docker, Helge Grans, Ronald AttardJacob Bernard-DockerHelge Grans, Ronald Attard
Tirs de pénalité
Garnet Hathaway, Paul Byron, Tyson Jost, Oskar Lindblom, Luke Glendening
Gardien
#1 : Chris Driedger, #2 : Malcolm Subban
Lignes d’attaque personnalisées en prolongation
Garnet Hathaway, Paul Byron, Tyson Jost, Oskar Lindblom, Luke Glendening, Loui Eriksson, Loui Eriksson, Tyler Bozak, Kevin Rooney, Ryan Dzingel, Drake Caggiula
Lignes de défense personnalisées en prolongation
Lassi Thomson, Carl Dahlstrom, Ronald Attard, Nils Lundkvist, Jacob Bernard-Docker


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
1Rocket11000000312110000003120000000000021.0003690021003012153019812175120.00%6183.33%0192867.86%202968.97%21216.67%2416237125
Total11000000312110000003120000000000021.0003690021003012153019812175120.00%6183.33%0192867.86%202968.97%21216.67%2416237125
_Since Last GM Reset11000000312110000003120000000000021.0003690021003012153019812175120.00%6183.33%0192867.86%202968.97%21216.67%2416237125
_Vs Conference11000000312110000003120000000000021.0003690021003012153019812175120.00%6183.33%0192867.86%202968.97%21216.67%2416237125
_Vs Division11000000312110000003120000000000021.0003690021003012153019812175120.00%6183.33%0192867.86%202968.97%21216.67%2416237125

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W136930198121700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000031
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5120.00%6183.33%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
1215302100
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
192867.86%202968.97%21216.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2416237125


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
1 - 2022-10-095Rocket1Senators3BWSommaire du match
6 - 2022-10-1417Senators-Marlies-
7 - 2022-10-1525Senators-Bruins-
8 - 2022-10-1638Crunch-Senators-
9 - 2022-10-1746Senators-Crunch-
12 - 2022-10-2060Monarchs-Senators-
13 - 2022-10-2174Monsters-Senators-
14 - 2022-10-2281Senators-Crunch-
16 - 2022-10-2491Senators-Phantoms-
18 - 2022-10-26100Senators-Bruins-
19 - 2022-10-27110Rocket-Senators-
22 - 2022-10-30125Rampage-Senators-
24 - 2022-11-01143Crunch-Senators-
25 - 2022-11-02149Senators-Monsters-
28 - 2022-11-05163Rocket-Senators-
30 - 2022-11-07177Senators-Monsters-
31 - 2022-11-08185Senators-Rocket-
33 - 2022-11-10192Monsters-Senators-
36 - 2022-11-13206Senators-Crunch-
38 - 2022-11-15212Wolf Pack-Senators-
41 - 2022-11-18225Senators-Flames-
42 - 2022-11-19232Flames-Senators-
45 - 2022-11-22244Senators-Wolves-
46 - 2022-11-23253Senators-Soldiers-
47 - 2022-11-24263Penguins-Senators-
50 - 2022-11-27277Bruins-Senators-
51 - 2022-11-28290Senators-Penguins-
53 - 2022-11-30301Rampage-Senators-
54 - 2022-12-01309Senators-Wolves-
56 - 2022-12-03323Monarchs-Senators-
58 - 2022-12-05335Senators-Marlies-
60 - 2022-12-07344Admirals-Senators-
61 - 2022-12-08349Senators-Stars-
64 - 2022-12-11363Bruins-Senators-
66 - 2022-12-13372Senators-Flames-
67 - 2022-12-14386Crunch-Senators-
69 - 2022-12-16396Senators-Rampage-
71 - 2022-12-18408Senators-Stars-
72 - 2022-12-19417Sharks-Senators-
75 - 2022-12-22431Admirals-Senators-
76 - 2022-12-23442Senators-Admirals-
77 - 2022-12-24451Penguins-Senators-
81 - 2022-12-28465Senators-Rocket-
82 - 2022-12-29473Phantoms-Senators-
84 - 2022-12-31484Senators-Bruins-
86 - 2023-01-02495Crunch-Senators-
89 - 2023-01-05510Senators-Marlies-
90 - 2023-01-06518Senators-Crunch-
91 - 2023-01-07526IceHogs-Senators-
93 - 2023-01-09533Senators-Griffins-
96 - 2023-01-12548Rampage-Senators-
99 - 2023-01-15560Senators-Monarchs-
101 - 2023-01-17570Wolf Pack-Senators-
103 - 2023-01-19577Senators-Monsters-
105 - 2023-01-21590Condors-Senators-
108 - 2023-01-24607Condors-Senators-
109 - 2023-01-25617Senators-Marlies-
112 - 2023-01-28629Rocket-Senators-
115 - 2023-01-31645Senators-Sound Tigers-
117 - 2023-02-02653Monarchs-Senators-
120 - 2023-02-05669Moose-Senators-
124 - 2023-02-09686Rocket-Senators-
125 - 2023-02-10692Senators-Bruins-
127 - 2023-02-12708Marlies-Senators-
131 - 2023-02-16722Senators-Stars-
132 - 2023-02-17732Monarchs-Senators-
133 - 2023-02-18735Senators-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137 - 2023-02-22751Marlies-Senators-
140 - 2023-02-25761Senators-Phantoms-
142 - 2023-02-27774Monsters-Senators-
144 - 2023-03-01783Senators-Phantoms-
145 - 2023-03-02791Senators-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,9791,000
Assistance PCT98.95%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2979 - 99.30% 92,691$92,691$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
143,380$ 3,733,416$ 3,532,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 102,284$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,244,185$ 142 35,845$ 5,089,990$




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