Connexion

Senators
GP: 49 | W: 26 | L: 16 | OTL: 7 | P: 59
GF: 156 | GA: 157 | PP%: 22.05% | PK%: 82.05%
DG: Eric St-Amand | Morale : 53 | Moyenne d’équipe : 69
#781 vs Coyotes
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Centre de jeu
Penguins
31-15-3, 65pts
3
FINAL
4 Senators
26-16-7, 59pts
Team Stats
W2SéquenceL1
14-9-1Fiche domicile12-8-4
17-6-2Fiche visiteur14-8-3
4-4-2Derniers 10 matchs6-4-0
3.37Buts par match 3.18
2.71Buts contre par match 3.20
21.82%Pourcentage en avantage numérique22.05%
80.66%Pourcentage en désavantage numérique82.05%
Panthers
28-12-7, 63pts
5
FINAL
1 Senators
26-16-7, 59pts
Team Stats
W4SéquenceL1
14-5-5Fiche domicile12-8-4
14-7-2Fiche visiteur14-8-3
7-3-0Derniers 10 matchs6-4-0
3.68Buts par match 3.18
3.06Buts contre par match 3.20
17.98%Pourcentage en avantage numérique22.05%
81.15%Pourcentage en désavantage numérique82.05%
Senators
26-16-7, 59pts
2023-12-10
Coyotes
24-19-2, 50pts
Statistiques d’équipe
L1SéquenceL1
12-8-4Fiche domicile13-11-0
14-8-3Fiche visiteur11-8-2
6-4-010 derniers matchs6-4-0
3.18Buts par match 3.07
3.20Buts contre par match 3.07
22.05%Pourcentage en avantage numérique21.09%
82.05%Pourcentage en désavantage numérique81.55%
Devils
26-19-4, 56pts
2023-12-12
Senators
26-16-7, 59pts
Statistiques d’équipe
L1SéquenceL1
14-8-2Fiche domicile12-8-4
12-11-2Fiche visiteur14-8-3
6-4-010 derniers matchs6-4-0
3.33Buts par match 3.18
3.10Buts contre par match 3.18
17.80%Pourcentage en avantage numérique22.05%
79.89%Pourcentage en désavantage numérique82.05%
Senators
26-16-7, 59pts
2023-12-15
Capitals
19-24-4, 42pts
Statistiques d’équipe
L1SéquenceL2
12-8-4Fiche domicile10-14-1
14-8-3Fiche visiteur9-10-3
6-4-010 derniers matchs4-5-1
3.18Buts par match 2.62
3.20Buts contre par match 2.62
22.05%Pourcentage en avantage numérique16.85%
82.05%Pourcentage en désavantage numérique77.97%
Meneurs d'équipe
Buts
Timo Meier
16
Passes
Mathew Dumba
28
Points
Mathew Dumba
40
Plus/Moins
Mathew Dumba
13
Victoires
Jordan Binnington
21
Pourcentage d’arrêts
Thomas(Chase) Perry
0.906

Statistiques d’équipe
Buts pour
156
3.18 GFG
Tirs pour
1419
28.96 Avg
Pourcentage en avantage numérique
22.1%
43 GF
Début de zone offensive
40.3%
Buts contre
157
3.20 GAA
Tirs contre
1507
30.76 Avg
Pourcentage en désavantage numérique
82.1%%
35 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralEric St-Amand
EntraîneurJon Cooper
DivisionDivision Atlantique
ConférenceConference Est
CapitainePierre-Luc Dubois
Assistant #1Evgeni Dadonov
Assistant #2Mathew Dumba


Informations de l’aréna

NomCorel Center
Capacité21,000
Assistance19,098
Billets de saison8,400


Informations de la formation

Équipe Pro22
Équipe Mineure31
Limite contact 53 / 55
Espoirs24


Plafond salarial Non Activé

Cap Salarial de la Saison estimé71,200,000$
Plafond salarial disponible5,700,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour41,340,089$
Dépenses annuelles à ce jour43,385,698$
Revenus de la saison estimés29,282,563$
Dépenses de la saison estimées29,940,656$
Compte bancaire actuel9,521,443$
Compte bancaire projeté9,379,784$


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
1Timo MeierX100.0075508878769092776879807377837764677402736,500,000$
2Ryan KeslerX100.0085626663738389748780767875999920667303925,400,000$
3Evgeni Dadonov (A)X100.0059439874719091796383777874808936667303416,650,000$
4Tom WilsonX100.00798860717687867562747974777977566570N0292900,000$
5Radek FaksaX100.0071578070778390757874738366805656467002945,000,000$
6Michael RasmussenX100.007345767376809075777274776768466866680242900,000$
7Maxim GolodX100.0070458276707878766575727066615572596802333,500,000$
8Blaze LizotteX100.0061459176707991747774717868635266666702512,500,000$
9Zack MacEwenX100.0080557175767484736870757067645464646702712,500,000$
10Joe SnivelyX100.0061459372657871736274787075504661566602721,700,000$
11Mackenzie MacEachernX100.0057408970727371746169697463635855696502921,300,000$
12Nigel DawesX100.0059429368687675696369687367646020586403821,350,000$
13Ryan McDonaghX96.0065329369758987794577757861989939597403436,500,000$
14Erik JohnsonX97.00724592747682837345706579638879346671N0351900,000$
15Mathew Dumba (A)X100.0076577873719087784575747763815757617102913,500,000$
16Will ButcherX100.0064449378698390794582727860696660517102845,500,000$
17Gustav ForslingX100.0060429373738180744573707660766263666902723,500,000$
18Nikita TryamkinX100.0078527473847384704572687560665458666802933,500,000$
Rayé
1Pierre-Luc Dubois (C)X78.5576507878778890867384847681858867407702547,500,000$
2Reece ScarlettX100.006243807569717574457267724565595396603011,300,000$
Équipe Mineure
1Emil Bemstrom (R)X100.006445947269748372697472736665456062660243900,000$
2Aleksi SaarelaX100.0064468775727474747573726664565264376602621,700,000$
3Michael PezzettaX100.0082686275746880717268687066564766616402531,200,000$
4Stanislav GalievX100.00584296707171697159716873666055506264N03121,550,000$
5Darren ArchibaldX100.0063459471747572706668667167544742466403321,350,000$
6Carson MeyerX100.0071458773696871695969686765504566606302621,600,000$
7Mathieu OlivierX100.0077456873757470716269647162544664656302621,200,000$
8Jiri SekacX100.0061439371736768705869656962584950626303121,100,000$
9Thomas NovakX100.006145907470707268726565706652486653630261750,000$
10Zach Solow (R)X100.006545857266707070706463695945458044610253750,000$
11Marek ViedenskyX100.005542957073706969686564706245454655610331650,000$
12Jamie ArnielX100.005945917068656566616063706046454262600342900,000$
13Gustav OlofssonX100.0067458471727574734572617253685355526502911,100,000$
14Calen Addison (R)X100.006445887267768573457767716150457051650233900,000$
15Ian Mitchell (R)X100.006545907269747673457265755955456062650243900,000$
16Alexander YounanX100.0066458075737275734571657057575064626502631,500,000$
17Alec RegulaX100.007045797373777170456070746249467062640232900,000$
18Adam Ollas-MattssonX100.007053847073676766456663715649476019630271750,000$
19Linus OmarkX100.006146907069707068616767666553492920620361700,000$
20Lukas ZetterbergX83.937047747572676966646466666055506425620262800,000$
21Roman HorakX81.395845967167686868656665716354474621620321700,000$
22Vaclav KarabacekX100.0063459171716866676064636561454562266002731,000,000$
23Peter HrehorcakX100.0061458770686661646259626462454556205902921,000,000$
24Ryan MurphyX94.4357429172707171694569667356795650426503011,300,000$
25Sean DayX100.007255857277706965456665685650476620630251750,000$
26Brett LernoutX100.007145787273695772456357735246456020620282800,000$
27Mitchell Vande Sompel (R)X100.007250807268707060456262675745456020610263750,000$
28Jesper LindgrenX100.006545897066696961456567665746466020600261750,000$
MOYENNE D’ÉQUIPE98.52674885727275767259706972636255565066
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
1Jordan Binnington98.008091927883898883898795707553607203036,000,000$
2Thomas(Chase) Perry100.00807870807872777272746948495780600273700,000$
Rayé
Équipe Mineure
1Erik Kallgren96.0083828078847886828386894556645466N02732,000,000$
2Blake Weyrick100.00737473787582768484718157585847640271900,000$
3Micheal Wall100.00717271797472767476777545502948600382700,000$
MOYENNE D’ÉQUIPE98.8077797779797981798179825358525864
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper81998799999934CAN575500,000$


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
1Mathew DumbaSenatorsD49122840135915994878125215.38%55103721.186915401540000143120%000000.7700021531
2Ryan KeslerSenatorsC491226387661010980111367710.81%788017.98412162815800041312155.95%115100000.8637101211
3Timo MeierSenatorsRW49161935619516371422610611.27%1087217.81610163915800031173150.88%11400000.8019001313
4Will ButcherSenatorsD48102030-8280424062254816.13%60111623.26459321450000141100%000000.5411000140
5Evgeni DadonovSenatorsRW4962430-15001557120451005.00%1088318.03112133515300041210152.38%23100000.6849000012
6Radek FaksaSenatorsC49121729-122807087103298111.65%1078015.922810221481013631151.61%96100000.7402000200
7Erik JohnsonSenatorsD498192783010484356163914.29%67107922.047512351530000153300%000000.5000110121
8Maxim GolodSenatorsLW45151126-1120402378246219.23%269315.415510211430002324248.33%6000000.7500000013
9Ryan McDonaghSenatorsD4751924-1326057476324287.94%70114924.46257301480000129100%000000.4200000220
10Pierre-Luc DuboisSenatorsLW2981523520174478175610.26%1253918.6025721970000891144.67%19700000.8515000120
11Gustav ForslingSenatorsD4951823-1110018373392315.15%4677715.86202418000026010%000000.5900000001
12Michael RasmussenSenatorsC4951419-120030718921615.62%659112.07000020001100048.04%63900000.6411000002
13Mackenzie MacEachernSenatorsLW49612184403456421489.38%457511.7500001000012050.00%3400000.6300000112
14Zack MacEwenSenatorsRW49891744810832479244610.13%460512.36000000001200053.33%4500000.5611011111
15Joe SnivelySenatorsLW467815-1540182568135310.29%462313.5621314570110352033.33%5100000.4811000012
16Blaze LizotteSenatorsC49681422010738026507.50%858311.9200000000070151.87%66900000.4801000030
17Tom WilsonSenatorsRW499413-56220672870233512.86%861212.49000116000001138.46%7800000.4201112010
18Nikita TryamkinSenatorsD492810-5740112331651112.50%4177515.8300004000045100%000000.2600000001
19Nigel DawesSenatorsLW1714542037185175.56%120412.0200000000000025.00%800000.4901000000
20Darren ArchibaldSenatorsF (Ott)LW8011-400137090%09612.0200000000000062.50%800000.2100000000
21Brett LernoutSenatorsF (Ott)D1000100000100%01414.650000000000000%00000000000000
22Michael PezzettaSenatorsF (Ott)LW2000120222220%0189.00000000000000100.00%10000000000000
23Reece ScarlettSenatorsD2000200112010%13015.180000000003000%00000000000000
Statistiques d’équipe totales ou en moyenne882153284437-33498708618551419404100510.78%4261454316.4943771203221565112181274231251.47%424700000.601339356192420
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
1Jordan BinningtonSenators42211270.8993.0924660012712550200.64139418331
2Thomas(Chase) PerrySenators105300.9062.58465002021201000732110
3Erik KallgrenSenatorsF (Ott)10100.9004.0060004400000019000
Statistiques d’équipe totales ou en moyenne53261670.9003.032991001511507030394949441


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Blaze LizotteSenatorsC251997-12-13No172 Lbs5 ft8NoNoN/ANoNo1Pro & Farm2,500,000$2,500,000$1,043,956$No------------------Lien
Erik JohnsonSenatorsD351988-03-21No225 Lbs6 ft4YesNoN/ANoNo1Pro Only900,000$900,000$375,824$No------------------Lien
Evgeni DadonovSenatorsRW341989-03-12No185 Lbs5 ft11NoNoN/ANoNo1Pro Only6,650,000$6,650,000$2,776,923$No------------------Lien
Gustav ForslingSenatorsD271996-06-12No186 Lbs6 ft0NoNoN/ANoNo2Pro & Farm3,500,000$3,500,000$1,461,538$No3,500,000$--------No--------Lien
Joe SnivelySenatorsLW271996-01-01No165 Lbs5 ft9NoNoN/ANoYes2Pro & Farm1,700,000$1,700,000$709,890$No1,700,000$--------No--------Lien
Jordan BinningtonSenatorsG301993-07-11No167 Lbs6 ft1NoNoN/ANoNo3Pro & Farm6,000,000$6,000,000$2,505,495$No6,000,000$6,000,000$-------NoNo-------Lien
Mackenzie MacEachernSenatorsLW291994-03-09No190 Lbs6 ft2NoNoN/ANoYes2Pro & Farm1,300,000$1,300,000$542,857$No1,300,000$--------No--------Lien
Mathew DumbaSenatorsD291994-07-25No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm3,500,000$3,500,000$1,461,538$No------------------Lien
Maxim GolodSenatorsLW232000-08-18No182 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,500,000$3,500,000$1,461,538$No3,500,000$3,500,000$-------NoNo-------Lien
Michael RasmussenSenatorsC241999-04-17No221 Lbs6 ft6NoNoN/ANoNo2Pro & Farm900,000$900,000$375,824$No900,000$--------No--------Lien
Nigel DawesSenatorsLW381985-02-09No200 Lbs5 ft8NoNoN/ANoYes2Pro & Farm1,350,000$1,350,000$563,736$No1,350,000$--------No--------Lien
Nikita TryamkinSenatorsD291994-08-30No265 Lbs6 ft7NoNoN/ANoNo3Pro & Farm3,500,000$3,500,000$1,461,538$No3,500,000$3,500,000$-------NoNo-------Lien
Pierre-Luc Dubois (sur la masse salariale)SenatorsLW251998-06-24No207 Lbs6 ft3NoNoN/ANoNo4Pro & Farm7,500,000$0$0$Yes7,500,000$7,500,000$7,500,000$------NoNoNo------Lien
Radek FaksaSenatorsC291994-01-09No210 Lbs6 ft3NoNoN/ANoNo4Pro & Farm5,000,000$5,000,000$2,087,912$No5,000,000$5,000,000$5,000,000$------NoNoNo------Lien
Reece ScarlettSenatorsD301993-03-01No175 Lbs6 ft1NoNoN/ANoNo1Pro Only1,300,000$1,300,000$542,857$No------------------Lien
Ryan KeslerSenatorsC391984-08-30 08:07:45No208 Lbs6 ft2NoNoN/ANoNo2Pro & Farm5,400,000$5,400,000$2,254,945$No5,400,000$--------No--------Lien
Ryan McDonaghSenatorsD341989-06-13No213 Lbs6 ft1NoNoN/ANoNo3Pro Only6,500,000$6,500,000$2,714,286$No6,500,000$6,500,000$-------NoNo-------Lien
Thomas(Chase) PerrySenatorsG271996-02-08No189 Lbs6 ft3NoNoN/ANoNo3Pro & Farm700,000$700,000$292,308$No700,000$700,000$-------NoNo-------Lien
Timo MeierSenatorsRW271996-10-08No215 Lbs6 ft0NoNoN/ANoNo3Pro & Farm6,500,000$6,500,000$2,714,286$No6,500,000$6,500,000$-------NoNo-------Lien
Tom WilsonSenatorsRW291994-03-29No220 Lbs6 ft4YesNoN/ANoNo2Pro & Farm900,000$900,000$375,824$No900,000$--------Yes--------Lien
Will ButcherSenatorsD281995-01-06No190 Lbs5 ft10NoNoN/ANoNo4Pro & Farm5,500,000$5,500,000$2,296,703$No5,500,000$5,500,000$5,500,000$------NoNoNo------Lien
Zack MacEwenSenatorsRW271996-07-08No211 Lbs6 ft5NoNoN/ANoNo1Pro & Farm2,500,000$2,500,000$1,043,956$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.32199 Lbs6 ft12.273,504,545$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,100,000$59,750,000$44,700,000$18,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim GolodRyan KeslerTimo Meier25122
2Joe SnivelyRadek FaksaEvgeni Dadonov25122
3Mackenzie MacEachernMichael RasmussenTom Wilson25122
4Nigel DawesBlaze LizotteZack MacEwen25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghErik Johnson25122
2Mathew DumbaWill Butcher25122
3Gustav ForslingNikita Tryamkin25122
4Ryan McDonaghErik Johnson25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim GolodRyan KeslerTimo Meier50122
2Joe SnivelyRadek FaksaEvgeni Dadonov50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghErik Johnson50122
2Mathew DumbaWill Butcher50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan KeslerMaxim Golod50122
2Radek FaksaJoe Snively50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghErik Johnson50122
2Mathew DumbaWill Butcher50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Kesler50122Ryan McDonaghErik Johnson50122
2Radek Faksa50122Mathew DumbaWill Butcher50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan KeslerMaxim Golod50122
2Radek FaksaJoe Snively50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghErik Johnson50122
2Mathew DumbaWill Butcher50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim GolodRyan KeslerTimo MeierRyan McDonaghErik Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim GolodRyan KeslerTimo MeierRyan McDonaghErik Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Radek Faksa, Maxim Golod, Michael RasmussenRadek Faksa, Maxim GolodRadek Faksa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Will Butcher, Gustav Forsling, Nikita TryamkinWill ButcherWill Butcher, Gustav Forsling
Tirs de pénalité
Timo Meier, Evgeni Dadonov, Ryan Kesler, Tom Wilson, Radek Faksa
Gardien
#1 : Jordan Binnington, #2 : Thomas(Chase) Perry


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
1BlackHawks11000000743000000000001100000074321.00071421002230329815033118193133.33%40100.00%0888171251.87%935178352.44%36375248.27%2416236126
2BlueJacket31100100711-41010000026-42100010055030.500713200023208624273419322244012325.00%11554.55%0888171251.87%935178352.44%36375248.27%694776233818
3Bruins33000000945110000002112200000073461.000918270042308734322109733186114214.29%8187.50%0888171251.87%935178352.44%36375248.27%684672223818
4Canadiens2010000127-5000000000002010000127-510.2502460010105919732569172932700.00%11190.91%0888171251.87%935178352.44%36375248.27%483350162512
5Capitals311000011012-2311000011012-20000000000030.50010192900352110436363238523293416425.00%10370.00%0888171251.87%935178352.44%36375248.27%775466234021
6Devils2010000146-2000000000002010000146-210.250481200211051914283601316438225.00%8187.50%0888171251.87%935178352.44%36375248.27%483250162612
7Flyers321000009721010000024-22200000073440.66791625004140702318290763337588225.00%10280.00%0888171251.87%935178352.44%36375248.27%694871223818
8GoldenKnights11000000413110000004130000000000021.0004812001210308139031108157228.57%40100.00%0888171251.87%935178352.44%36375248.27%2618217116
9Hurricanes4400000020101022000000106422000000104681.00020406000929012240364609934206521523.81%10280.00%0888171251.87%935178352.44%36375248.27%986788285327
10Islanders20100001710-320100001710-30000000000010.25071320002320582315168632019369111.11%6350.00%0888171251.87%935178352.44%36375248.27%523646132613
11Kings11000000523110000005230000000000021.000571200302038121214024413103133.33%40100.00%0888171251.87%935178352.44%36375248.27%2518207137
12Lightning21000001660210000016600000000000030.75061218002222541911236731531327342.86%13192.31%0888171251.87%935178352.44%36375248.27%442955152512
13MapleLeafs321000001091110000003212110000077040.6671018280053209832363008623513719526.32%15193.33%0888171251.87%935178352.44%36375248.27%704972233617
14Oilers2020000037-41010000034-11010000003-300.0003470011105122131606517254510220.00%10280.00%0888171251.87%935178352.44%36375248.27%453047152612
15Panthers32100000810-21010000015-42200000075240.66781422003230883224320992335567114.29%80100.00%1888171251.87%935178352.44%36375248.27%704670223819
16Penguins31100010990100000104312110000056-140.66791524003231762522274982724453133.33%11372.73%0888171251.87%935178352.44%36375248.27%664578233918
17Rangers301000201314-110000010321201000101012-240.667132134002364882733259922316648112.50%8450.00%0888171251.87%935178352.44%36375248.27%755375223919
18RedWings211000005501010000034-11100000021120.50051015003020471317170772316488337.50%80100.00%0888171251.87%935178352.44%36375248.27%402655152411
19Sabres412010001114-32100100074320200000410-640.500112031005231107373631313037678217317.65%30680.00%0888171251.87%935178352.44%36375248.27%946199305025
20Sharks1010000034-11010000034-10000000000000.000358001200501912190209424600.00%20100.00%0888171251.87%935178352.44%36375248.27%2618226116
21Stars1000000145-11000000145-10000000000010.500459003014236511123798152150.00%40100.00%0888171251.87%935178352.44%36375248.27%2314278147
Total49221601136156157-12498010247981-2251380011277761590.602156284440006138531314194694275075415074264988611954322.05%1953582.05%1888171251.87%935178352.44%36375248.27%11677981191373634315
_Since Last GM Reset49221601136156157-12498010247981-2251380011277761590.602156284440006138531314194694275075415074264988611954322.05%1953582.05%1888171251.87%935178352.44%36375248.27%11677981191373634315
_Vs Conference42191301135130134-41976010236065-5231270011270691520.61913024137100503145911953933644234212973664327331643621.95%1673380.24%1888171251.87%935178352.44%36375248.27%9956801029321543268
_Vs Division19106010025155-484201001222201164000012933-4240.632519614700231116354018616318614631171247348791721.52%931089.25%1888171251.87%935178352.44%36375248.27%437294475146241118

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4959L11562844401419150742649886100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4922161136156157
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
249810247981
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2513801127776
Derniers 10 matchs
WLOTWOTL SOWSOL
441010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1954322.05%1953582.05%1
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
4694275075461385313
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
888171251.87%935178352.44%36375248.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11677981191373634315


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 - 2023-08-257Senators6Rangers5AWXXSommaire du match
3 - 2023-08-2723MapleLeafs2Senators3BWR3Sommaire du match
4 - 2023-08-2830Capitals5Senators4BLXXSommaire du match
6 - 2023-08-3042Senators3BlueJacket4ALXSommaire du match
8 - 2023-09-0159Capitals3Senators4BWSommaire du match
10 - 2023-09-0370Senators2Devils3ALXXSommaire du match
13 - 2023-09-0693RedWings4Senators3BLSommaire du match
15 - 2023-09-08105Senators2MapleLeafs6ALR3Sommaire du match
18 - 2023-09-11122Sabres1Senators3BWSommaire du match
20 - 2023-09-13140Senators1Penguins3ALSommaire du match
22 - 2023-09-15153Senators1Sabres4ALR3Sommaire du match
24 - 2023-09-17164Hurricanes1Senators3BWSommaire du match
26 - 2023-09-19183Islanders5Senators3BLSommaire du match
27 - 2023-09-20192Senators3Flyers1AWSommaire du match
30 - 2023-09-23214Senators2RedWings1AWSommaire du match
32 - 2023-09-25224Senators7Hurricanes2AWSommaire du match
33 - 2023-09-26231Bruins1Senators2BWSommaire du match
36 - 2023-09-29255Lightning3Senators2BLXXSommaire du match
38 - 2023-10-01266Senators0Canadiens4ALSommaire du match
40 - 2023-10-03284Senators3Sabres6ALR3Sommaire du match
42 - 2023-10-05294Sharks4Senators3BLSommaire du match
45 - 2023-10-08316Flyers4Senators2BLSommaire du match
47 - 2023-10-10334Senators4Flyers2AWSommaire du match
49 - 2023-10-12346Senators4Bruins2AWSommaire du match
50 - 2023-10-13357GoldenKnights1Senators4BWSommaire du match
57 - 2023-10-20404Senators5MapleLeafs1AWR3Sommaire du match
58 - 2023-10-21414Rangers2Senators3BWXXSommaire du match
61 - 2023-10-24434Senators2BlueJacket1AWSommaire du match
63 - 2023-10-26443Hurricanes5Senators7BWSommaire du match
65 - 2023-10-28466Senators4Panthers3AWSommaire du match
66 - 2023-10-29476Capitals4Senators2BLSommaire du match
69 - 2023-11-01493Senators2Canadiens3ALXXSommaire du match
71 - 2023-11-03508Stars5Senators4BLXXSommaire du match
74 - 2023-11-06533Islanders5Senators4BLXXSommaire du match
75 - 2023-11-07542Senators3Hurricanes2AWSommaire du match
78 - 2023-11-10562Senators0Oilers3ALSommaire du match
80 - 2023-11-12575BlueJacket6Senators2BLSommaire du match
82 - 2023-11-14590Senators7BlackHawks4AWSommaire du match
84 - 2023-11-16602Kings2Senators5BWSommaire du match
86 - 2023-11-18622Senators3Bruins1AWSommaire du match
88 - 2023-11-20632Sabres3Senators4BWXR3Sommaire du match
90 - 2023-11-22648Senators3Panthers2AWSommaire du match
92 - 2023-11-24666Lightning3Senators4BWSommaire du match
94 - 2023-11-26677Senators4Rangers7ALSommaire du match
96 - 2023-11-28697Senators4Penguins3AWSommaire du match
98 - 2023-11-30707Oilers4Senators3BLSommaire du match
102 - 2023-12-04733Senators2Devils3ALSommaire du match
103 - 2023-12-05739Penguins3Senators4BWXXSommaire du match
106 - 2023-12-08764Panthers5Senators1BLSommaire du match
108 - 2023-12-10781Senators-Coyotes-
110 - 2023-12-12797Devils-Senators-
113 - 2023-12-15815Senators-Capitals-
115 - 2023-12-17832Rangers-Senators-
117 - 2023-12-19848Senators-RedWings-
119 - 2023-12-21862Bruins-Senators-
121 - 2023-12-23878Senators-Ducks-
123 - 2023-12-25892MapleLeafs-Senators-
125 - 2023-12-27907Senators-Capitals-
126 - 2023-12-28917Senators-Avalanches-
128 - 2023-12-30930Flyers-Senators-
131 - 2024-01-02955Canadiens-Senators-
132 - 2024-01-03962Senators-Jets-
135 - 2024-01-06977Senators-BlackHawks-
137 - 2024-01-08992Devils-Senators-
139 - 2024-01-101011Senators-Flames-
141 - 2024-01-121021Senators-Lightning-
142 - 2024-01-131028Wild-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2024-01-171057Canadiens-Senators-
150 - 2024-01-211080Jets-Senators-
152 - 2024-01-231097Senators-Canucks-
154 - 2024-01-251115Kraken-Senators-
158 - 2024-01-291144Predators-Senators-
159 - 2024-01-301154Senators-Blues-
163 - 2024-02-031179BlueJacket-Senators-
167 - 2024-02-071205Panthers-Senators-
168 - 2024-02-081216Senators-Blues-
170 - 2024-02-101233Penguins-Senators-
172 - 2024-02-121244Senators-Islanders-
175 - 2024-02-151266BlackHawks-Senators-
177 - 2024-02-171277Senators-Islanders-
178 - 2024-02-181288Senators-Lightning-
181 - 2024-02-211309RedWings-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80006000200040001000
Prix des billets85553525180
Assistance182,253127,85846,66981,69119,870
Attendance PCT94.92%88.79%97.23%85.09%82.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 19098 - 90.94% 1,722,504$41,340,089$21000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
43,385,698$ 71,200,000$ 70,100,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
71,200,000$ 43,094,506$ 0$ 22 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
29,282,563$ 76 393,956$ 29,940,656$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
31,128,688$ 9,521,443$ 9,379,784$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
71,200,000$ 5,700,000$ 76,900,000$ 71,200,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Pierre-Luc DuboisAGE:25PO:67OV:77
Maxim GolodAGE:23PO:72OV:68
Joe SnivelyAGE:27PO:61OV:66
Mackenzie MacEachernAGE:29PO:55OV:65
Michael PezzettaAGE:25PO:66OV:64
Darren ArchibaldAGE:33PO:42OV:64
Nigel DawesAGE:38PO:20OV:64
Marek ViedenskyAGE:33PO:46OV:61
Vaclav KarabacekAGE:27PO:62OV:60
Jamie ArnielAGE:34PO:42OV:60
Peter HrehorcakAGE:29PO:56OV:59
Ryan KeslerAGE:39PO:20OV:73
Radek FaksaAGE:29PO:56OV:70
Michael RasmussenAGE:24PO:68OV:68
Blaze LizotteAGE:25PO:66OV:67
Aleksi SaarelaAGE:26PO:64OV:66
Emil Bemstrom (R)AGE:24PO:60OV:66
Thomas NovakAGE:26PO:66OV:63
Lukas ZetterbergAGE:26PO:64OV:62
Roman HorakAGE:32PO:46OV:62
Zach Solow (R)AGE:25PO:80OV:61
Timo MeierAGE:27PO:64OV:74
Evgeni DadonovAGE:34PO:36OV:73
Tom WilsonAGE:29PO:56OV:70
Zack MacEwenAGE:27PO:64OV:67
Stanislav GalievAGE:31PO:50OV:64
Carson MeyerAGE:26PO:66OV:63
Mathieu OlivierAGE:26PO:64OV:63
Jiri SekacAGE:31PO:50OV:63
Linus OmarkAGE:36PO:29OV:62

Défense #1Défense #2Gardien
Ryan McDonaghAGE:34PO:39OV:74
Will ButcherAGE:28PO:60OV:71
Mathew DumbaAGE:29PO:57OV:71
Erik JohnsonAGE:35PO:34OV:71
Gustav ForslingAGE:27PO:63OV:69
Nikita TryamkinAGE:29PO:58OV:68
Reece ScarlettAGE:30PO:53OV:66
Calen Addison (R)AGE:23PO:70OV:65
Alexander YounanAGE:26PO:64OV:65
Ian Mitchell (R)AGE:24PO:60OV:65
Gustav OlofssonAGE:29PO:55OV:65
Ryan MurphyAGE:30PO:50OV:65
Alec RegulaAGE:23PO:70OV:64
Sean DayAGE:25PO:66OV:63
Adam Ollas-MattssonAGE:27PO:60OV:63
Brett LernoutAGE:28PO:60OV:62
Mitchell Vande Sompel (R)AGE:26PO:60OV:61
Jesper LindgrenAGE:26PO:60OV:60
Jordan BinningtonAGE:30PO:53OV:72
Erik KallgrenAGE:27PO:64OV:66
Blake WeyrickAGE:27PO:58OV:64
Thomas(Chase) PerryAGE:27PO:57OV:60
Micheal WallAGE:38PO:29OV:60

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Aatu RatySenators1325
Alexander HoltzSenators115
Blade JenkinsSenators946
Brady O'MalleySenators151210Lien
Cole BradySenators10157
Conor GeekieSenators1411
Corson CeulemansSenators1318
Curtis DouglasSenators984
Danyl ButSenators15190Lien
Egor ZamulaSenators9144
Jacob InghamSenators9141
Jacob OlofssonSenators00
Jonathan TychonickSenators948
MathiasEmilio PettersenSenators9136
Max PaddockSenators9147
Michal KvasnicaSenators9146
Redmond SavageSenators1363
Roman SchmidtSenators1362
Ryan ChyzowskiSenators9145
Ryan O'ReilySenators00
Sampo RantaSenators933
Stanislav DeminSenators977
Trey AugustineSenators15280Lien
Zach DeanSenators1343

Choix au repêchage

Année R1R2R3R4R5
16
17
18
19
20
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Senators Historique de transactions

[2023-10-05 15:33:38] - Linus Omark signed with Senators for $700,000 for 1 year(s).
[2023-10-05 15:33:38] - Linus Omark was added to Senators.
[2023-10-04 16:16:52] - Roman Horak signed with Senators for $700,000 for 1 year(s).
[2023-10-04 16:16:52] - Roman Horak was added to Senators.
[2023-10-04 16:16:37] - Marek Viedensky signed with Senators for $650,000 for 1 year(s).
[2023-10-04 16:16:37] - Marek Viedensky was added to Senators.
[2023-10-03 19:27:09] - Vaclav Karabacek signed with Senators for $1,000,000 for 3 year(s).
[2023-10-03 19:27:09] - Vaclav Karabacek was added to Senators.
[2023-08-20 11:43:57] - TRADE : From Oilers to Senators : Tom Wilson (70).
[2023-08-08 20:52:48] - Erik Johnson signed with Senators for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:52:48] - Erik Johnson was added to Senators.
[2023-08-01 11:44:05] - TRADE : From Senators to Blues : Maxim Mamin (67), Austin Watson (67), Grigori Denisenko (P).
[2023-08-01 11:44:05] - TRADE : From Blues to Senators : Darren Archibald (64), Brett Lernout (62), Y:17-RND:5-Stl.
[2023-07-30 13:31:23] - Brady O'Malley has been added to Senators.
[2023-07-30 13:31:23] - Trey Augustine has been added to Senators.
[2023-07-30 13:31:23] - Danyl But has been added to Senators.
[2023-07-03 21:01:06] - ZACH SOLOW was added to Senators.



[2023-12-09 15:22:43] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:142.169.16.130 .
[2023-12-09 15:21:26] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:142.169.16.130 .
[2023-12-09 15:21:09] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:142.169.16.130 .
[2023-12-08 19:13:14] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-12-08 19:10:50] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-12-08 19:10:12] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-12-07 14:58:02] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:174.89.182.230 .
[2023-12-07 14:57:44] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:174.89.182.230 .
[2023-12-06 12:52:39] Game 762 - Ryan Murphy from SenatorsF is injured (Strained Left Elbow) and is out for 1 week.
[2023-12-06 12:52:33] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:33] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:01] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:36:57] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-05 13:02:11] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:204.48.93.162 .
[2023-12-05 13:01:58] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:204.48.93.162 .
[2023-12-04 13:00:52] Game 741 - Lukas Zetterberg from SenatorsF is injured (Right Hand) and is out for 3 weeks.
[2023-12-04 13:00:40] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-12-04 12:57:22] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:74.14.180.173 .
[2023-12-02 21:25:46] Aleksi Saarela from SenatorsF is back from Torn Right MCL Injury.
[2023-12-02 21:22:07] Successfully loaded Senators lines done with STHS Client - 3.4.0.0
[2023-11-30 12:41:01] Farm Game #716 - Emil Bemstrom from SenatorsF has scored a Hat Trick!
[2023-11-30 12:40:54] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-11-30 12:40:22] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-11-29 12:36:34] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-11-29 12:34:00] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-11-29 12:33:42] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2023-11-28 21:03:26] Successfully loaded Senators lines done with STHS Client - 3.3.9.9
[2023-11-27 19:32:49] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:31:33] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:28:48] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:28:25] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .
[2023-11-27 19:27:40] Successfully loaded Senators lines done with Web Base Client and SQLite Database from IP:74.57.45.53 .



Pierre-Luc Dubois est dehors pour 2 semaines à cause de Herniated Disc Injury.
Ryan Murphy est dehors pour 1 jours à cause de Strained Left Elbow Injury.
Lukas Zetterberg est dehors pour 1 semaine à cause de Right Hand Injury.
Roman Horak est dehors pour 2 semaines à cause de Bruised Right Foot Injury.



Senators Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Senators Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA