Senators

GP: 8 | W: 4 | L: 3 | OTL: 1 | P: 9
GF: 29 | GA: 28 | PP%: 34.62% | PK%: 88.89%
DG: Farlou Ferland | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #88 vs Red Wings
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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 SP
1Brandon SaadXX100.00674390847574866940668673357478785200
2Bryan Little (A)XX100.00634190867073637683787866598183775200
3Oskar LindblomX100.00754395777176737740688670255758785200
4Jonathan Toews (C)X100.00714380837583938998907773908390805200
5Ondrej PalatX100.00864589866873847035777670377074765200
6Phillip DanaultX100.00824586817279937696847180256565785200
7Robert ThomasXX100.00594191836868856959846855255961705200
8Tyler EnnisXX100.00794390855868787739757461657374745200
9Nick PaulXX100.00876987718767786177657072255656715200
10Nikolaj EhlersXX100.00655587916474847225838555256567785200
11Conor GarlandXX100.00634090836067847835708356806262755200
12Teddy BluegerX100.00774388686872886381656490755657715200
13Quinn Hughes (R)X100.00574089936284709625855857255252695200
14Jonas BrodinX100.00674289837183936125684885257274675200
15Samuel GirardX100.00695191885983937825704866256263665200
16Radko GudasX100.00916782777470875925554886256970655200
17Ryan EllisX100.00754388856588837825796084637174755200
Rayé
1Adam LarssonX93.69885880798079836225494785257273633900
2Martin MarincinX88.33714484668066546025504885756464614300
MOYENNE D'ÉQUIPE99.0573478882707582724672677244666872510
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
1Mikko Koskinen100.0080797688817977788680655656795200
Rayé
1Anton Khudobin94.0092686770998483919591956465884600
MOYENNE D'ÉQUIPE97.008674727990828085918680606184490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher76717978716678CAN5011,850,000$


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
1Jonathan ToewsSenatorsC83811-220132923121913.04%315219.12145319000000057.53%18600001.4402000100
2Samuel GirardSenatorsD801010-2606106150.00%517521.89055316000019000.00%000001.1400000010
3Phillip DanaultSenatorsC836918016211942315.79%415419.270223180001151059.30%17200011.1700000100
4Oskar LindblomSenatorsLW8437-2001262381517.39%115419.29224619000020012.50%800000.9100000001
5Radko GudasSenatorsD81671100201055820.00%1016720.96112215000016100.00%000000.8300000110
6Ryan EllisSenatorsD8257-1140221595522.22%1117922.4121372200008000.00%000000.7811000010
7Nikolaj EhlersSenatorsLW/RW8325120581451421.43%113817.25101218000000028.57%1400000.7201000110
8Quinn HughesSenatorsD8134-22031230633.33%1018022.5112332200004000.00%000000.4400000001
9Brandon SaadSenatorsLW/RW82241004121921210.53%116020.030003180002250046.67%1500000.5000000000
10Conor GarlandSenatorsLW/RW8314-20031232813.04%014217.84101419000000041.67%1200000.5612000000
11Jonas BrodinSenatorsD8022-4401080100.00%1014418.0200001000022000.00%000000.2800000000
12Martin MarincinSenatorsD7202-3009752240.00%1011316.2400010000019000.00%000000.3511000100
13Ondrej PalatSenatorsLW8112-2001210144117.14%110713.4400000000040030.77%1300000.3700000000
14Robert ThomasSenatorsC/RW8112-2202963416.67%010212.8200000000000033.33%600000.3900000000
15Teddy BluegerSenatorsC8112-240519151126.67%012916.17000000003261049.71%17100000.3102000000
16Adam LarssonSenatorsD1011100220000.00%41717.930000000004000.00%000001.1200000000
17Tyler EnnisSenatorsLW/RW8101-2002172814.29%0486.0500000000000060.00%500000.4111000000
18Bryan LittleSenatorsC/RW8000-2000119140.00%0577.1400001000060058.21%6700000.0000000000
19Nick PaulSenatorsC/LW8000-200842050.00%0637.90000000000140033.33%300000.0000000000
Stats d'équipe Total ou en Moyenne144285280-255401541952025816113.86%71238816.59917263719700061933053.57%67200010.67410000542
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
1Anton KhudobinSenators84310.8973.0944600232240000.6001080000
2Mikko KoskinenSenators10000.8335.5843004240000.000008000
Stats d'équipe Total ou en Moyenne94310.8913.3149000272480000.6001088000


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam Larsson (Sur la Masse Salariale)SenatorsD271992-11-12No210 Lbs6 ft4NoNoNo2Pro & Farm4,541,666$4,541,666$4,166,666$4,166,666$0$0$Yes4,166,666$Lien
Anton Khudobin (Sur la Masse Salariale)SenatorsG341986-05-07No200 Lbs5 ft11NoNoNo1Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$0$0$YesLien
Brandon SaadSenatorsLW/RW271992-10-26No206 Lbs6 ft1NoNoNo3Pro & Farm6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$Lien
Bryan LittleSenatorsC/RW321987-11-11No191 Lbs6 ft0NoNoNo1Pro & Farm5,291,666$5,291,666$5,291,666$5,291,666$5,291,666$5,291,666$NoLien
Conor GarlandSenatorsLW/RW241996-03-11No165 Lbs5 ft10NoNoNo2Pro & Farm822,223$822,223$822,223$822,223$822,223$822,223$No822,223$Lien
Jonas BrodinSenatorsD261993-07-12No194 Lbs6 ft1NoNoNo1Pro & Farm4,166,667$4,166,667$4,166,667$4,166,667$4,166,667$4,166,667$NoLien
Jonathan ToewsSenatorsC321988-04-29No201 Lbs6 ft2NoNoNo2Pro & Farm10,500,000$10,500,000$10,500,000$10,500,000$10,500,000$10,500,000$No10,500,000$Lien
Martin Marincin (Sur la Masse Salariale)SenatorsD281992-02-18No210 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$700,000$700,000$0$0$Yes700,000$700,000$Lien
Mikko KoskinenSenatorsG311988-07-17No209 Lbs6 ft7NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$Lien
Nick PaulSenatorsC/LW251995-03-20No230 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$450,000$450,000$750,000$750,000$No750,000$Lien
Nikolaj EhlersSenatorsLW/RW241996-02-13No172 Lbs6 ft0NoNoNo2Pro & Farm6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$No6,000,000$Lien
Ondrej PalatSenatorsLW291991-03-28No188 Lbs6 ft0NoNoNo3Pro & Farm6,800,000$6,800,000$5,300,000$5,300,000$6,800,000$6,800,000$No5,300,000$5,300,000$Lien
Oskar LindblomSenatorsLW231996-08-15No191 Lbs6 ft1NoNoNo1Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$1,137,500$1,137,500$NoLien
Phillip DanaultSenatorsC271993-02-24No195 Lbs6 ft1NoNoNo3Pro & Farm5,583,333$5,583,333$3,083,333$3,083,333$5,583,333$5,583,333$No3,083,333$3,083,333$Lien
Quinn HughesSenatorsD201999-10-14Yes170 Lbs5 ft10NoNoNo3Pro & Farm1,604,167$1,604,167$1,604,167$1,604,167$1,604,167$1,604,167$No1,604,167$1,604,167$
Radko GudasSenatorsD301990-06-04No204 Lbs6 ft0NoNoNo1Pro & Farm3,350,000$3,350,000$3,350,000$3,350,000$3,350,000$3,350,000$NoLien
Robert ThomasSenatorsC/RW201999-07-02No188 Lbs6 ft0NoNoNo2Pro & Farm1,177,500$1,177,500$1,177,500$1,177,500$1,177,500$1,177,500$No1,177,500$Lien
Ryan EllisSenatorsD291991-01-02No180 Lbs5 ft10NoNoNo4Pro Only6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$No6,250,000$6,250,000$6,250,000$Lien
Samuel GirardSenatorsD221998-05-12No162 Lbs5 ft10NoNoNo1Pro & Farm935,833$935,833$935,833$935,833$935,833$935,833$NoLien
Teddy BluegerSenatorsC251994-08-14No185 Lbs6 ft0NoNoNo2Pro & Farm650,000$650,000$650,000$650,000$650,000$650,000$No650,000$Lien
Tyler EnnisSenatorsLW/RW301989-10-06No161 Lbs5 ft9NoNoNo2Pro & Farm650,000$650,000$650,000$650,000$650,000$650,000$No650,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2126.90191 Lbs6 ft12.053,436,217$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
72,160,555$50,153,889$22,937,500$6,250,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomJonathan ToewsConor Garland33032
2Nikolaj EhlersPhillip DanaultBrandon Saad32032
3Ondrej PalatTeddy BluegerRobert Thomas27032
4Nick PaulBryan LittleTyler Ennis8041
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Quinn HughesRyan Ellis38032
2Radko GudasSamuel Girard35032
3Jonas Brodin27131
4Jonas Brodin0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomJonathan ToewsConor Garland50005
2Nikolaj EhlersPhillip DanaultBrandon Saad50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Quinn HughesRyan Ellis60104
2Radko GudasSamuel Girard40104
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Teddy BluegerBrandon Saad55140
2Phillip DanaultNick Paul45140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas Brodin55140
2Radko GudasSamuel Girard45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Teddy Blueger50041Jonas Brodin50050
2Phillip Danault50050Radko GudasSamuel Girard50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jonathan ToewsOskar Lindblom60032
2Phillip DanaultNikolaj Ehlers40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Quinn HughesRyan Ellis50032
2Radko GudasSamuel Girard50032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phillip DanaultJonathan ToewsNikolaj EhlersQuinn HughesRyan Ellis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon SaadJonathan ToewsBryan LittleRyan EllisJonas Brodin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonathan Toews, Phillip Danault, Teddy BluegerJonathan Toews, Phillip DanaultTeddy Blueger
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Quinn Hughes, Samuel Girard, Ryan EllisQuinn HughesSamuel Girard, Ryan Ellis
Tirs de Pénalité
Teddy Blueger, Jonathan Toews, Conor Garland, Tyler Ennis, Nikolaj Ehlers
Gardien
#1 : , #2 : Mikko Koskinen


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
LigueDomicileVisiteur
# 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
1Bruins2010001067-1100000105411010000013-220.50061016002304431317137782216396233.33%8275.00%012924452.87%14228350.18%8914561.38%483451152512
2Canadiens21100000610-4110000003211010000038-520.50061117004110571714260581214419222.22%70100.00%012924452.87%14228350.18%8914561.38%493543142612
3Lightning220000001358110000005321100000082641.00013243700373064212221050148308562.50%40100.00%012924452.87%14228350.18%8914561.38%503543122614
4Maple Leafs1000000134-1000000000001000000134-110.5003580012001648343713824200.00%4175.00%012924452.87%14228350.18%8914561.38%2214288136
5Red Wings1010000012-11010000012-10000000000000.00012300010022751002510820100.00%40100.00%012924452.87%14228350.18%8914561.38%2213228147
Total83300011292814210001014113412000011517-290.5632952810010144420262667311248715415426934.62%27388.89%012924452.87%14228350.18%8914561.38%1931331895910752
_Since Last GM Reset83300011292814210001014113412000011517-290.5632952810010144420262667311248715415426934.62%27388.89%012924452.87%14228350.18%8914561.38%1931331895910752
_Vs Conference83300011292814210001014113412000011517-290.5632952810010144420262667311248715415426934.62%27388.89%012924452.87%14228350.18%8914561.38%1931331895910752
_Vs Division83300011292814210001014113412000011517-290.5632952810010144420262667311248715415426934.62%27388.89%012924452.87%14228350.18%8914561.38%1931331895910752

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
89W2295281202248715415400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
83300112928
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42100101411
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41200011517
Derniers 10 Matchs
WLOTWOTL SOWSOL
430001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
26934.62%27388.89%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
62667311101444
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
12924452.87%14228350.18%8914561.38%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1931331895910752


Derniers Match 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 - 2020-09-031Red Wings2Senators1LSommaire du Match
3 - 2020-09-0523Canadiens2Senators3WSommaire du Match
4 - 2020-09-0627Senators8Lightning2WSommaire du Match
5 - 2020-09-0739Senators3Maple Leafs4LXXSommaire du Match
7 - 2020-09-0951Senators3Canadiens8LSommaire du Match
8 - 2020-09-1057Senators1Bruins3LSommaire du Match
9 - 2020-09-1166Bruins4Senators5WXXSommaire du Match
10 - 2020-09-1278Lightning3Senators5WSommaire du Match
11 - 2020-09-1388Senators-Red Wings-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15100Maple Leafs-Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets160784535260
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 64,168,889$ 59,868,889$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 18 3

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 5 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 25,097,166$ 25,097,166$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Brandon SaadAGE:27PO:78OV:0
Oskar LindblomAGE:23PO:78OV:0
Nikolaj EhlersAGE:24PO:78OV:0
Ondrej PalatAGE:29PO:76OV:0
Conor GarlandAGE:24PO:75OV:0
Tyler EnnisAGE:30PO:74OV:0
Nick PaulAGE:25PO:71OV:0
*Joel FarabeeAGE:20PO:69OV:0
Ryan DzingelAGE:28PO:69OV:0
Tyson JostAGE:22PO:68OV:0
*Alexander VolkovAGE:22PO:65OV:0
Matthew PecaAGE:27PO:65OV:0
Michael Dal ColleAGE:24PO:63OV:0
Marko DanoAGE:25PO:57OV:0
Jonathan ToewsAGE:32PO:80OV:0
Phillip DanaultAGE:27PO:78OV:0
Bryan LittleAGE:32PO:77OV:0
Nick PaulAGE:25PO:71OV:0
Teddy BluegerAGE:25PO:71OV:0
Jack RoslovicAGE:23PO:70OV:0
Robert ThomasAGE:20PO:70OV:0
Tyson JostAGE:22PO:68OV:0
Kevin RooneyAGE:27PO:66OV:0
Matthew PecaAGE:27PO:65OV:0
Filip ChlapikAGE:23PO:64OV:0
Michael McLeodAGE:22PO:64OV:0
Brandon SaadAGE:27PO:78OV:0
Nikolaj EhlersAGE:24PO:78OV:0
Bryan LittleAGE:32PO:77OV:0
Conor GarlandAGE:24PO:75OV:0
Tyler EnnisAGE:30PO:74OV:0
Jack RoslovicAGE:23PO:70OV:0
Robert ThomasAGE:20PO:70OV:0
Ryan DzingelAGE:28PO:69OV:0
*Alexander VolkovAGE:22PO:65OV:0
Matthew PecaAGE:27PO:65OV:0
Michael Dal ColleAGE:24PO:63OV:0
Marko DanoAGE:25PO:57OV:0

Défense #1Défense #2Gardien
Ryan EllisAGE:29PO:75OV:0
*Quinn HughesAGE:20PO:69OV:0
Jonas BrodinAGE:26PO:67OV:0
Samuel GirardAGE:22PO:66OV:0
Radko GudasAGE:30PO:65OV:0
Adam LarssonAGE:27PO:63OV:0
Martin MarincinAGE:28PO:61OV:0
*Dante FabbroAGE:22PO:61OV:0
Andreas EnglundAGE:24PO:59OV:0
Christian JarosAGE:24PO:59OV:0
Carl DahlstromAGE:25PO:57OV:0
Christian WolaninAGE:25PO:51OV:0
Jake DotchinAGE:26PO:51OV:0
Anton KhudobinAGE:34PO:88OV:0
Mikko KoskinenAGE:31PO:79OV:0
Chris DriedgerAGE:26PO:72OV:0

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alex TurcotteSenators20197
Alexei IipanovSenators374
Alfrom MalstromSenators289
Anatoli GolishevSenators288
Blake McLaughlinSenators477
Cole ShneiderSenators
Edward PasqualeSenatorsLien
Filip AhlSenators
Gabriel GagneSenators
Jacob Bernard-DockerSenators434
Jacob OlofssonSenators429
Jan BednarSenators202049
Jayden StrubleSenators201951
John FarinacciSenators201962
Kaiden GuhleSenators202027
Kelly SummersSenators
Konrad AbeltshauserSenators
Lassi ThomsonSenators201929
Leland IrvingSenators
Luke EvangelistaSenators202047
Marco RossiSenators20205
Matt O ConnorSenators
Mikeal WikstrandSenators
Nils LundkvistSenators438
Ronnie AttardSenators201973
Samuel KnazkoSenators202071
Sean FarrellSenators202078
Shaine EisermanSenators
T.J. HensickSenatorsLien
Thimo NicklSenators202091
Tuukka TieksolaSenators201995
Tyson FoersterSenators202041
Will CuylleSenators202037

Choix au Repêchage

Année R1R2R3R4R5
2021OTT MTL OTT OTT OTT OTT
2022OTT OTT OTT OTT OTT
2023OTT OTT OTT OTT OTT
2024OTT OTT OTT OTT OTT
2025OTT OTT OTT OTT OTT



[2020-09-08 4:27:21 PM] - Senators hired Scott Gomez for $850,000 for 3 year(s).
[2020-05-04 4:06:42 PM] - TRADE : From Senators to Flyers : Adam Fox, Nicklas Backstrom.
[2020-05-04 4:06:42 PM] - TRADE : From Flyers to Senators : Phillip Danault, Oskar Lindblom.
[2020-05-04 4:05:30 PM] - TRADE : From Senators to Canadiens : Alex DeBrincat, Petr Mrazek.
[2020-05-04 4:05:30 PM] - TRADE : From Canadiens to Senators : Mikko Koskinen, Tyler Ennis, Y:2021-RND:1-MTL.
[2020-04-28 8:47:14 AM] - Matthew Peca signed with Senators for $1,300,000 for 3 year(s).
[2020-04-28 8:47:14 AM] - Matthew Peca was added to Senators.
[2020-04-28 8:46:43 AM] - Kevin Rooney signed with Senators for $700,000 for 3 year(s).
[2020-04-28 8:46:43 AM] - Kevin Rooney was added to Senators.
[2020-04-24 5:20:05 PM] - TRADE : From Senators to Red Wings : Marcus Hogberg.
[2020-04-24 4:59:05 PM] - Ondrej Palat signed with Senators for $5,300,000 for 3 year(s) / Signing Bonus of $6,000,000.
[2020-04-24 4:59:05 PM] - Ondrej Palat was added to Senators.
[2020-04-24 4:58:38 PM] - Martin Marincin signed with Senators for $700,000 for 3 year(s) / Signing Bonus of $1,000,000.
[2020-04-24 4:58:38 PM] - Martin Marincin was added to Senators.
[2020-04-24 4:52:00 PM] - Adam Larsson signed with Senators for $4,166,666 for 2 year(s) / Signing Bonus of $1,500,000.
[2020-04-24 4:52:00 PM] - Adam Larsson was added to Senators.
[2020-04-22 6:50:40 PM] - Marcus Hogberg was added to Senators.
[2020-04-22 6:48:27 PM] - Alexander Volkov was added to Senators.
[2020-04-19 9:53:59 PM] - Senators drafts Thimo Nickl as the #91 overall pick in the Entry Draft of year 2020.
[2020-04-19 9:29:28 PM] - Senators drafts Sean Farrell as the #78 overall pick in the Entry Draft of year 2020.
[2020-04-19 9:20:36 PM] - Senators drafts Samuel Knazko as the #71 overall pick in the Entry Draft of year 2020.
[2020-04-19 8:38:17 PM] - Senators drafts Jan Bednar as the #49 overall pick in the Entry Draft of year 2020.
[2020-04-19 8:34:35 PM] - Senators drafts Luke Evangelista as the #47 overall pick in the Entry Draft of year 2020.
[2020-04-19 8:22:26 PM] - Senators drafts Tyson Foerster as the #41 overall pick in the Entry Draft of year 2020.
[2020-04-19 8:12:14 PM] - Senators drafts Will Cuylle as the #37 overall pick in the Entry Draft of year 2020.
[2020-04-19 7:52:25 PM] - Senators drafts Kaiden Guhle as the #27 overall pick in the Entry Draft of year 2020.
[2020-04-19 7:04:48 PM] - Senators drafts Marco Rossi as the #5 overall pick in the Entry Draft of year 2020.
[2020-04-18 5:27:30 PM] - Leo Komarov was released.
[2020-04-18 5:27:30 PM] - Senators paid $0 to release Leo Komarov.
[2020-04-18 5:27:25 PM] - Jordie Benn was released.
[2020-04-18 5:27:25 PM] - Senators paid $0 to release Jordie Benn.



[2020-09-18 10:17:07 AM] Anton Khudobin from Senators injured (Exhaustion)
[2020-09-18 10:17:07 AM] Game 78 - Martin Marincin from Senators is injured (Sprained Left Ankle) and is out for 1 week.
[2020-09-12 2:12:55 PM] Phillip Danault from Senators has scored a Hat Trick!
[2020-09-10 10:10:01 AM] Successfully loaded Senators lines done with STHS Client - 3.2.0.5
[2020-09-10 10:10:01 AM] Martin Marincin of Senators was sent to pro.
[2020-09-09 8:05:45 AM] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-09-09 8:05:44 AM] Game 1 - Adam Larsson from Senators is injured (Left Knee) and is out for 2 weeks.
[2020-09-08 4:27:21 PM] Senators hired Scott Gomez for $850,000 for 3 year(s).
[2020-05-06 10:11:53 AM] Successfully loaded Senators lines done with STHS Client - 3.2.0.5
[2020-05-06 10:11:53 AM] Chris Driedger of Senators was sent to farm.
[2020-05-06 10:11:53 AM] Ryan Dzingel of Senators was sent down to farm.
[2020-05-06 10:11:53 AM] Radko Gudas of Senators was sent to pro.
[2020-05-04 4:11:49 PM] $10,000,000 was added to Senators bank account.
[2020-05-04 4:11:38 PM] -$10,000,000 was added to Senators bank account.
[2020-05-04 4:06:42 PM] TRADE : From Senators to Flyers : Adam Fox, Nicklas Backstrom.
[2020-05-04 4:06:42 PM] TRADE : From Flyers to Senators : Phillip Danault, Oskar Lindblom.
[2020-05-04 4:05:30 PM] TRADE : From Senators to Canadiens : Alex DeBrincat, Petr Mrazek.
[2020-05-04 4:05:30 PM] TRADE : From Canadiens to Senators : Mikko Koskinen, Tyler Ennis, Y:2021-RND:1-MTL.
[2020-05-03 12:24:07 PM] -$10,000,000 was added to Senators bank account.



Anton Khudobin est dehors pour 0 jours à cause de Exhaustion.
Adam Larsson est dehors pour 0 jours à cause de Left Knee Injury.
Martin Marincin est dehors pour 3 jours à cause de Sprained Left Ankle Injury.



LigueDomicileVisiteur
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