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OTHL - Senators 

Senators

GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 8
GF: 13 | GA: 11 | PP%: 15.38% | PK%: 86.36%
DG: Haedyn | Morale : 50 | Moyenne d'Équipe : 68
Prochain matchs #113 vs Coyotes
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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
1David PastrnakX100.007343858968809189349296553266678550760
2Vladimir TarasenkoX100.007745909280799584558389576169718350750
3Vincent TrocheckX100.008544738665838680928271766365667750730
4Jaden SchwartzX100.007343928668788377437870632570727350700
5Bryan RustXX100.008244898269738860356976797565677650690
6Brett ConnollyXX100.006943908174659367347578612570727550680
7Drew StaffordXX100.007344897579637566386259676281836550650
8Pierre-Edouard BellemareX100.007343977971639159896158762566686650650
9Joakim NordstromXX100.007754937470659058435759782566676650640
10Ryan ReavesX100.009980747383579763426260542571736450630
11Jordan NolanXX100.008145727380518764256255692567696450630
12Corey TroppXX100.005968396568676863505665596253536150590
13Ryan McDonaghX100.007744878678859063257251922573797150750
14Erik JohnsonX100.008159858385858860255850892578796850740
15Nick LeddyX100.007343928873849880256248726374786650720
16Dmitry OrlovX100.008255878475849966256648782570726650720
17Jamie OleksiakX100.008981787595668061255249762564656250680
18Alexander PetrovicX100.009848797478706858254647782565666250670
Rayé
1Fredrik ClaessonX100.008659917674726858255048722560606150650
2Dean KukanX100.006742916870635761255547622556565850590
MOYENNE D'ÉQUIPE100.00795184797572856739656171376769685068
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
1Andrei Vasilevskiy100.00868985828686738790869563648550800
2Max Lagace (R)100.00636581756365626964643044446450630
Rayé
MOYENNE D'ÉQUIPE100.0075778379757668787775635454755072
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper91939958827683CAN3634,500,000$


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

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# Nom du Joueur Nom de l'ÉquipePOS GP 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
1David PastrnakSenatorsRW6325000161961515.79%011318.93101211000001033.33%900000.8800000110
2Ryan McDonaghSenatorsD61341001110102510.00%514824.7800051300001800 0.00%000000.5400000000
3Erik JohnsonSenatorsD603326011711440.00%1413722.9400041200001600 0.00%000000.4400000100
4Vladimir TarasenkoSenatorsRW6303000341951315.79%211218.83101612000000163.64%1100000.5300000101
5Nick LeddySenatorsD6033200444220.00%311218.780112110000400 0.00%000000.5300000010
6Jaden SchwartzSenatorsLW603320051411570.00%09816.45011111000000033.61%12200000.6100000010
7Vincent TrocheckSenatorsC603308017191510150.00%212621.140112120000130051.30%15400000.4700000001
8Bryan RustSenatorsLW/RW6112210071213357.69%211118.550000110000131066.67%600000.3600000000
9Brett ConnollySenatorsLW/RW61121003374614.29%07412.4600000000020180.00%500000.5400000000
10Dmitry OrlovSenatorsD6022020754030.00%611318.9101111100001700 0.00%000000.3500000000
11Alexander PetrovicSenatorsD60111802173410.00%511819.780000000001300 0.00%000000.1700000000
12Drew StaffordSenatorsLW/RW61012406481712.50%09315.5600000000051033.33%300000.2100000000
13Corey TroppSenatorsC/RW6011000031300.00%0437.2400000000030060.00%1000000.4600000000
14Jordan NolanSenatorsLW/RW610114013373214.29%07212.080000000000000.00%400000.2800000000
15Pierre-Edouard BellemareSenatorsC610110021383512.50%09516.00000212000090149.44%8900000.2100000010
16Joakim NordstromSenatorsC/LW61010001913327.69%0599.90000000001211039.19%7400000.3400000000
17Ryan ReavesSenatorsRW6000020303020.00%0386.3800000000000050.00%400000.0000000000
18Jamie OleksiakSenatorsD60000201242010.00%68814.79000000000000 0.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1081323361546012712715858958.23%45176016.302462512200011394344.81%49100000.4100000342
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

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# 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
1Andrei VasilevskiySenators64200.9391.843580011179000 0.000060011
Stats d'équipe Total ou en Moyenne64200.9391.843580011179000 0.000060011


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexander PetrovicSenatorsD271992-03-03No206 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,950,000$1,950,000$1,771,774$NoLien
Andrei VasilevskiySenatorsG251994-07-24No207 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm4,000,000$4,000,000$3,634,409$NoLien
Brett ConnollySenatorsLW/RW271992-05-02No195 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,800,000$1,800,000$1,635,484$NoLien
Bryan RustSenatorsLW/RW271992-05-11No192 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$3,180,108$NoLien
Corey TroppSenatorsC/RW301989-07-25No185 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$750,000$681,452$NoLien
David PastrnakSenatorsRW231996-05-25No188 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm6,750,000$6,750,000$6,133,065$NoLien
Dean KukanSenatorsD261993-07-08No186 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm725,000$725,000$658,737$NoLien
Dmitry OrlovSenatorsD281991-07-22No212 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm5,100,000$5,100,000$4,633,871$NoLien
Drew StaffordSenatorsLW/RW341985-10-30No215 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm3,350,000$3,350,000$3,043,817$NoLien
Erik JohnsonSenatorsD311988-03-21No225 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm6,750,000$6,750,000$6,133,065$NoLien
Fredrik ClaessonSenatorsD261992-11-24No200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$750,000$681,452$NoLien
Jaden SchwartzSenatorsLW271992-06-25No190 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm5,600,000$5,600,000$5,088,172$NoLien
Jamie OleksiakSenatorsD261992-12-21No255 Lbs6 ft7NoNoNo1Avec RestrictionPro & Farm2,137,500$2,137,500$1,942,137$NoLien
Joakim NordstromSenatorsC/LW271992-02-25No189 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$908,602$NoLien
Jordan NolanSenatorsLW/RW301989-06-22No219 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm850,000$850,000$772,312$NoLien
Max LagaceSenatorsG261993-01-11Yes190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$700,000$636,022$NoLien
Nick LeddySenatorsD281991-03-20No204 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm5,500,000$5,500,000$4,997,312$NoLien
Pierre-Edouard BellemareSenatorsC341985-03-05No198 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,300,000$2,300,000$2,089,785$NoLien
Ryan McDonaghSenatorsD301989-06-12No215 Lbs6 ft1YesNoNo5Sans RestrictionPro & Farm7,100,000$7,100,000$6,451,075$NoLien
Ryan ReavesSenatorsRW321987-01-20No225 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,750,000$1,750,000$1,590,054$NoLien
Vincent TrocheckSenatorsC261993-07-11No182 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm5,500,000$5,500,000$4,997,312$NoLien
Vladimir TarasenkoSenatorsRW271991-12-13No225 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm8,000,000$8,000,000$7,268,817$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2228.05205 Lbs6 ft11.913,448,295$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
75,862,500$47,350,000$33,450,000$18,950,000$7,100,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David PastrnakVincent TrocheckVladimir Tarasenko35014
2Bryan RustJaden SchwartzDrew Stafford30023
3Brett ConnollyPierre-Edouard BellemareJordan Nolan25131
4Corey TroppJoakim NordstromRyan Reaves10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander PetrovicRyan McDonagh40032
2Erik JohnsonNick Leddy30032
3Dmitry OrlovJamie Oleksiak20122
4Erik JohnsonRyan McDonagh10032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pierre-Edouard BellemareVincent TrocheckVladimir Tarasenko60014
2David PastrnakJaden SchwartzBryan Rust40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan McDonaghErik Johnson60014
2Dmitry OrlovNick Leddy40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Joakim NordstromBryan Rust60131
2Vincent TrocheckPierre-Edouard Bellemare40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander PetrovicRyan McDonagh60131
2Dmitry OrlovErik Johnson40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Vincent Trocheck60050Ryan McDonaghErik Johnson60050
2Pierre-Edouard Bellemare40050Alexander PetrovicDmitry Orlov40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Vincent TrocheckDavid Pastrnak60023
2Pierre-Edouard BellemareVladimir Tarasenko40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry OrlovErik Johnson60122
2Jamie OleksiakRyan McDonagh40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David PastrnakVincent TrocheckVladimir TarasenkoRyan McDonaghErik Johnson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jaden SchwartzVincent TrocheckPierre-Edouard BellemareErik JohnsonRyan McDonagh
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vincent Trocheck, Pierre-Edouard Bellemare, David PastrnakVincent Trocheck, Pierre-Edouard BellemareVincent Trocheck
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nick Leddy, Jamie Oleksiak, Alexander PetrovicRyan McDonaghErik Johnson, Ryan McDonagh
Tirs de Pénalité
Vladimir Tarasenko, Vincent Trocheck, Pierre-Edouard Bellemare, Jaden Schwartz, David Pastrnak
Gardien
#1 : Andrei Vasilevskiy, #2 : Max Lagace


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
1Blues11000000321110000003210000000000021.0003470020102911108026212205120.00%50100.00%08418046.67%9422042.73%429146.15%2618206127
2Golden Knights1010000001-1000000000001010000001-100.000000000000239680289416100.00%20100.00%08418046.67%9422042.73%429146.15%2014267126
3Lightning11000000422110000004220000000000021.000481200121020794035106253133.33%3166.67%08418046.67%9422042.73%429146.15%2416226126
4Maple Leafs1010000002-2000000000001010000002-200.00000000000020947043101438000.00%7185.71%08418046.67%9422042.73%429146.15%159308135
5Rangers11000000431110000004310000000000021.000471100112033419100309617100.00%3166.67%08418046.67%9422042.73%429146.15%2216256115
Total64200000131124400000013852020000003-380.6671323360043601584860500179454612713215.38%22386.36%08418046.67%9422042.73%429146.15%13491149457636
7Wild11000000211110000002110000000000021.00024600002033812130175411300.00%20100.00%08418046.67%9422042.73%429146.15%2316238136
_Since Last GM Reset64200000131124400000013852020000003-380.6671323360043601584860500179454612713215.38%22386.36%08418046.67%9422042.73%429146.15%13491149457636
_Vs Conference32100000871220000008531010000002-240.667815230023307320322101082926804125.00%13376.92%08418046.67%9422042.73%429146.15%634279223717
_Vs Division21100000440110000004221010000002-220.5004812001210401613110782020633133.33%10280.00%08418046.67%9422042.73%429146.15%402653152511

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
68L1132336158179454612700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
64200001311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4400000138
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000003
Derniers 10 Matchs
WLOTWOTL SOWSOL
420000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
13215.38%22386.36%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
48605004360
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
8418046.67%9422042.73%429146.15%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13491149457636


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 - 2019-10-043Senators0Maple Leafs2LR3Sommaire du Match
4 - 2019-10-0726Rangers3Senators4WSommaire du Match
9 - 2019-10-1254Blues2Senators3WSommaire du Match
11 - 2019-10-1472Lightning2Senators4WSommaire du Match
13 - 2019-10-1683Wild1Senators2WSommaire du Match
16 - 2019-10-19105Senators0Golden Knights1LSommaire du Match
18 - 2019-10-21113Senators-Coyotes-
20 - 2019-10-23129Senators-Stars-
22 - 2019-10-25143Red Wings-Senators-
24 - 2019-10-27157Islanders-Senators-
26 - 2019-10-29175Sharks-Senators-
32 - 2019-11-04205Senators-Bruins-
34 - 2019-11-06223Senators-Rangers-
35 - 2019-11-07229Senators-Islanders-
37 - 2019-11-09244Kings-Senators-
39 - 2019-11-11257Hurricanes-Senators-
41 - 2019-11-13270Senators-Hurricanes-
43 - 2019-11-15282Senators-Devils-
45 - 2019-11-17296Flyers-Senators-
46 - 2019-11-18301Senators-Sabres-
49 - 2019-11-21323Senators-Red Wings-
50 - 2019-11-22331Senators-Canadiens-
52 - 2019-11-24346Rangers-Senators-
55 - 2019-11-27366Senators-Blue Jackets-
57 - 2019-11-29385Bruins-Senators-
59 - 2019-12-01398Senators-Wild-
60 - 2019-12-02404Senators-Flames-
63 - 2019-12-05432Senators-Canucks-
64 - 2019-12-06434Senators-Oilers-
67 - 2019-12-09459Senators-Flyers-
69 - 2019-12-11469Bruins-Senators-
71 - 2019-12-13485Senators-Canadiens-
74 - 2019-12-16510Blue Jackets-Senators-
76 - 2019-12-18521Senators-Panthers-
77 - 2019-12-19530Senators-Lightning-
79 - 2019-12-21543Predators-Senators-
81 - 2019-12-23560Flyers-Senators-
83 - 2019-12-25575Sabres-Senators-
89 - 2019-12-31609Devils-Senators-
90 - 2020-01-01612Senators-Penguins-
93 - 2020-01-04634Panthers-Senators-
95 - 2020-01-06649Lightning-Senators-
98 - 2020-01-09674Senators-Capitals-
101 - 2020-01-12691Senators-Red Wings-
102 - 2020-01-13697Canadiens-Senators-
105 - 2020-01-16720Blackhawks-Senators-
107 - 2020-01-18735Golden Knights-Senators-
109 - 2020-01-20751Flames-Senators-
118 - 2020-01-29771Devils-Senators-
119 - 2020-01-30774Senators-Sabres-
122 - 2020-02-02789Capitals-Senators-
123 - 2020-02-03804Senators-Maple Leafs-
126 - 2020-02-06820Ducks-Senators-
128 - 2020-02-08835Avalanche-Senators-
130 - 2020-02-10853Senators-Jets-
133 - 2020-02-13868Senators-Avalanche-
135 - 2020-02-15887Coyotes-Senators-
137 - 2020-02-17902Maple Leafs-Senators-
138 - 2020-02-18911Stars-Senators-
140 - 2020-02-20922Sabres-Senators-
142 - 2020-02-22936Jets-Senators-
144 - 2020-02-24953Canadiens-Senators-
146 - 2020-02-26967Senators-Blue Jackets-
147 - 2020-02-27975Senators-Predators-
149 - 2020-02-29989Canucks-Senators-
151 - 2020-03-021006Red Wings-Senators-
154 - 2020-03-051024Senators-Penguins-
156 - 2020-03-071039Islanders-Senators-
158 - 2020-03-091058Senators-Sharks-
161 - 2020-03-121070Senators-Ducks-
162 - 2020-03-131082Senators-Kings-
164 - 2020-03-151094Senators-Blackhawks-
166 - 2020-03-171115Senators-Blues-
169 - 2020-03-201135Oilers-Senators-
171 - 2020-03-221152Senators-Capitals-
172 - 2020-03-231154Senators-Hurricanes-
175 - 2020-03-261181Panthers-Senators-
177 - 2020-03-281191Senators-Bruins-
179 - 2020-03-301213Maple Leafs-Senators-
182 - 2020-04-021237Senators-Lightning-
184 - 2020-04-041246Senators-Panthers-
186 - 2020-04-061268Penguins-Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000400030001000
Prix des Billets105755545210
Assistance24,00019,79616,00011,7673,869
Attendance PCT100.00%98.98%100.00%98.06%96.73%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 18858 - 99.25% 1,556,676$6,226,705$19000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
7,344,952$ 75,862,500$ 75,862,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
407,863$ 6,933,671$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
57,597,021$ 169 432,056$ 73,017,464$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
74,225,138$ 75,862,518$ 36,923,955$ 23,676,343$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jaden SchwartzAGE:27PO:73OV:70
Bryan RustAGE:27PO:76OV:69
Brett ConnollyAGE:27PO:75OV:68
Drew StaffordAGE:34PO:65OV:65
Joakim NordstromAGE:27PO:66OV:64
Jordan NolanAGE:30PO:64OV:63
Vincent TrocheckAGE:26PO:77OV:73
Pierre-Edouard BellemareAGE:34PO:66OV:65
Joakim NordstromAGE:27PO:66OV:64
Corey TroppAGE:30PO:61OV:59
David PastrnakAGE:23PO:85OV:76
Vladimir TarasenkoAGE:27PO:83OV:75
Bryan RustAGE:27PO:76OV:69
Brett ConnollyAGE:27PO:75OV:68
Drew StaffordAGE:34PO:65OV:65
Ryan ReavesAGE:32PO:64OV:63
Jordan NolanAGE:30PO:64OV:63
Corey TroppAGE:30PO:61OV:59

Défense #1Défense #2Gardien
Ryan McDonaghAGE:30PO:71OV:75
Erik JohnsonAGE:31PO:68OV:74
Nick LeddyAGE:28PO:66OV:72
Dmitry OrlovAGE:28PO:66OV:72
Jamie OleksiakAGE:26PO:62OV:68
Alexander PetrovicAGE:27PO:62OV:67
Fredrik ClaessonAGE:26PO:61OV:65
Trevor CarrickAGE:25PO:58OV:62
Dylan McIlrathAGE:27PO:51OV:61
Tim HeedAGE:28PO:60OV:60
Dean KukanAGE:26PO:58OV:59
Frank CorradoAGE:26PO:53OV:59
Andrei VasilevskiyAGE:25PO:85OV:80
*Max LagaceAGE:26PO:64OV:63
Calvin PickardAGE:27PO:50OV:53

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
Alexander KadeikinSenators2014124
Benjamin FinkelsteinSenators2016208
Blaine ByronSenators2013196
Blake SiebenalerSenators201493
Brandon GormleySenators201016
Cole CandellaSenators2016102
D'Artagnan JolySenators2017128
Daniel AudetteSenators2014108
Daniel WalcottSenators2014184
David QuennevilleSenators2016121
Dysin MayoSenators201499
Gilles SennSenators2017161
Graham KnottSenators201568
Grant BesseSenators2013118
Henri IkonenSenators2013120
Jack KopackaSenators201691
Jakov NovakSenators2018196
Jeremy GregoireSenators2013136
Jonas RondbjergSenators201772
Keegan IversonSenators201469
Martin RewaySenators2013109
Matt SpencerSenators201558
Michael BuntingSenators201486
Miles GendronSenators201492
Nick MoutreySenators201380
Niklas HanssonSenators201382
Pascal LabergeSenators201630
Patrick HolwaySenators2015172
Reece ScarlettSenators2011173
Scott WalfordSenators201779
Spencer WatsonSenators2014101
Vojtech BudikSenators2016162

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020NYI WSH
2021OTT NYR OTT OTT CAR
2022OTT OTT OTT OTT OTT OTT OTT
2023OTT OTT OTT OTT OTT OTT OTT
2024OTT OTT OTT OTT OTT OTT OTT



[2019-10-22 4:33:50 PM] - New Record for Team's Most Hits (38) in 1 Game for Senators!
[2019-10-16 4:34:38 PM] - Team Name Change : Ottawa Senators changed name to Senators
[2019-10-05 6:55:53 PM] - Calvin Pickard signed with Ottawa Senators for $700,000 for 1 year(s).
[2019-10-05 6:55:53 PM] - Calvin Pickard was added to Ottawa Senators.
[2019-10-05 6:29:57 PM] - Fredrik Claesson signed with Ottawa Senators for $750,000 for 1 year(s).
[2019-10-05 6:29:57 PM] - Fredrik Claesson was added to Ottawa Senators.
[2019-10-05 6:29:44 PM] - Trevor Carrick signed with Ottawa Senators for $750,000 for 1 year(s).
[2019-10-05 6:29:44 PM] - Trevor Carrick was added to Ottawa Senators.
[2019-10-05 6:29:23 PM] - Dean Kukan signed with Ottawa Senators for $725,000 for 1 year(s).
[2019-10-05 6:29:23 PM] - Dean Kukan was added to Ottawa Senators.
[2019-10-05 6:29:08 PM] - Joakim Nordstrom signed with Ottawa Senators for $1,000,000 for 1 year(s).
[2019-10-05 6:29:08 PM] - Joakim Nordstrom was added to Ottawa Senators.
[2019-10-05 6:28:42 PM] - Alexander Petrovic signed with Ottawa Senators for $1,950,000 for 1 year(s).
[2019-10-05 6:28:42 PM] - Alexander Petrovic was added to Ottawa Senators.
[2019-10-05 6:28:21 PM] - Jamie Oleksiak signed with Ottawa Senators for $2,137,500 for 1 year(s).
[2019-10-05 6:28:21 PM] - Jamie Oleksiak was added to Ottawa Senators.
[2019-10-05 6:27:58 PM] - Corey Tropp signed with Ottawa Senators for $750,000 for 1 year(s).
[2019-10-05 6:27:58 PM] - Corey Tropp was added to Ottawa Senators.
[2019-10-05 2:18:13 PM] - Corey Tropp was released.
[2019-09-16 3:47:45 PM] - TRADE : From Ottawa Senators to Vancouver Canucks : Jonathan Ang (P), Y:2020-RND:6-NYI.
[2019-09-16 3:47:45 PM] - TRADE : From Vancouver Canucks to Ottawa Senators : Max Lagace (63).
[2019-09-12 7:37:05 PM] - Tobias Lindberg was released by Ottawa Senators
[2019-09-12 7:36:53 PM] - Andrej Sustr was released by Ottawa Senators
[2019-08-26 8:25:58 PM] - TRADE : From Ottawa Senators to New York Islanders : Connor Brown (66), Philipp Grubauer (73).
[2019-08-26 8:25:58 PM] - TRADE : From New York Islanders to Ottawa Senators : Jaden Schwartz (70), Dmitry Orlov (72), Y:2020-RND:2-NYI, Y:2020-RND:6-NYI.
[2019-08-15 5:52:32 PM] - Senators hired Jay Woodcroft for $950,000 for 1 year(s).
[2019-07-30 9:11:56 PM] - Philipp Grubauer signed with Ottawa Senators for $3,330,000 for 3 year(s).
[2019-07-30 9:11:56 PM] - Philipp Grubauer was added to Ottawa Senators.
[2019-07-26 4:41:58 PM] - Bryan Rust signed with Ottawa Senators for $3,500,000 for 3 year(s).
[2019-07-26 4:41:58 PM] - Bryan Rust was added to Ottawa Senators.
[2019-07-26 4:41:43 PM] - Nick Leddy signed with Ottawa Senators for $5,500,000 for 3 year(s).
[2019-07-26 4:41:43 PM] - Nick Leddy was added to Ottawa Senators.






Pas de Blessure ou de Suspension.



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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
201964200000131124400000013852020000003-381323360043601584860500179454612713215.38%22386.36%08418046.67%9422042.73%429146.15%13491149457636
Total Saison Régulière64200000131124400000013852020000003-381323360043601584860500179454612713215.38%22386.36%08418046.67%9422042.73%429146.15%13491149457636