Senators

GP: 3 | W: 3 | L: 0 | OTL: 0 | P: 6
GF: 13 | GA: 4 | PP%: 14.29% | PK%: 88.24%
DG: Marc-André Bilodeau Lamontagne | Morale : 54 | Moyenne d'Équipe : N/A
Prochain matchs #64 vs Devils
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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
1Adam CracknellX100.0055555555555555555055555555606115500
2A.J. GreerX100.0067556172797369655063606155505015500
3Gabriel Fontaine (R)X100.0078558255727078555055555555667415500
4Grayson DowningX100.0056555555565756555055555555725015500
5Justin BaileyXX100.0073556584766970675061647255707015500
6Ethan WerekX100.0060557165726767555055555555737515500
7Drew MillerX100.0055555555555555555055555555717315500
8Ryan CarterX100.0055555555555555555055555555717215200
9Jean-Sebastien DeaX100.0060557462656172606460606055505015500
10Max McCormickX100.0056555869696372676255556255505015500
11Jordan SchmaltzX100.0067556381746968702561606655535315500
12Cody GoloubefX100.0055555560555578552555555555817415500
13Carl DahlstromX100.0068557561798267682562606855535315500
14Andreas Borgman (R)X100.0094557575807479772567657455747415500
15Andreas EnglundX100.0055555560555567552555555555535315500
16Matt TaorminaX100.0055555560555577552555555555535315500
17Taylor FedunX100.0062556771727662642561606455535315500
18Brady AustinX100.0055555560555572552555555555535315500
19Tim ErixonX100.0055555560555566552555555555575715500
Rayé
MOYENNE D'ÉQUIPE100.006255626465636860405857605561601550
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
1Chris Driedger100.006077817964646563676255596115500
2Eddie Pasquale100.007171738270707670707255696815500
Rayé
MOYENNE D'ÉQUIPE100.00667477816767716769675564651550
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx61968380735870CAN5061,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1A.J. GreerSenators (Ott)LW3505640810172829.41%07023.580004100001142140.00%500001.4100000201
2Carl DahlstromSenators (Ott)D31454209561416.67%56020.01112411000013000.00%000001.6700000020
3Taylor FedunSenators (Ott)D313448053101510.00%35719.22112811000011010.00%000001.3900000000
4Justin BaileySenators (Ott)LW/RW321338051171811.76%06521.740002120000100077.42%3100000.9200000100
5Max McCormickSenators (Ott)LW32134005693422.22%04916.5900000000060077.78%3600001.2100000010
6Adam CracknellSenators (Ott)RW31126203140425.00%05217.530001100000010100.00%100000.7600000001
7Jordan SchmaltzSenators (Ott)D3022200257460.00%36321.12000713000015000.00%000000.6300000000
8Ethan WerekSenators (Ott)LW31122400341425.00%04314.5200001000180075.00%400000.9200000000
9Andreas BorgmanSenators (Ott)D302222020416740.00%36220.790001213000114000.00%000000.6400000001
10Drew MillerSenators (Ott)LW3022120422130.00%03612.2800013000050080.00%500001.0900000000
11Gabriel FontaineSenators (Ott)C3011120673020.00%06521.960111110000120072.73%5500000.3000000000
12Grayson DowningSenators (Ott)C3011500143020.00%05518.47000010000020075.47%5300000.3600000000
13Cody GoloubefSenators (Ott)D3011200313120.00%13812.740000000006000.00%000000.5200000000
14Matt TaorminaSenators (Ott)D3011100111000.00%1217.210000000000000.00%000000.9300000000
15Brady AustinSenators (Ott)D3011100501010.00%1217.210000000000000.00%000000.9300000000
16Tim ErixonSenators (Ott)D3011200201020.00%13411.570000000002000.00%000000.5800000000
17Andreas EnglundSenators (Ott)D3000000000000.00%010.440000000000000.00%000000.0000000000
18Ryan CarterSenators (Ott)LW2000-100201000.00%1115.96000000000100100.00%100000.0000000000
19Jean-Sebastien DeaSenators (Ott)RW3000000213060.00%05418.02000110000010060.00%500000.0000000000
Stats d'équipe Total ou en Moyenne56132336453408354108226512.04%1986615.482354112100031243274.49%19600000.8300000333
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
1Eddie PasqualeSenators (Ott)33000.9391.33180004660000.000030000
Stats d'équipe Total ou en Moyenne33000.9391.33180004660000.000030000


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
A.J. GreerSenators (Ott)LW201996-12-14No204 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Adam CracknellSenators (Ott)RW311985-07-14No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Andreas BorgmanSenators (Ott)D211995-06-18Yes205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Andreas EnglundSenators (Ott)D201996-01-21No189 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Brady AustinSenators (Ott)D231993-06-15No234 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Carl DahlstromSenators (Ott)D211995-01-28No228 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Chris DriedgerSenators (Ott)G221994-05-18No200 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Cody GoloubefSenators (Ott)D271989-11-30No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Drew MillerSenators (Ott)LW321984-02-17No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Eddie PasqualeSenators (Ott)G261990-11-20No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Ethan WerekSenators (Ott)LW251991-06-07No189 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Gabriel FontaineSenators (Ott)C191997-04-30Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Grayson DowningSenators (Ott)C241992-04-18No200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jean-Sebastien DeaSenators (Ott)RW221994-02-08No175 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Jordan SchmaltzSenators (Ott)D231993-10-08No190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,208,000$0$0$No
Justin BaileySenators (Ott)LW/RW211995-07-01No190 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm890,000$0$0$No
Matt TaorminaSenators (Ott)D301986-10-19No182 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Max McCormickSenators (Ott)LW241992-04-30No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan CarterSenators (Ott)LW331983-08-02No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Taylor FedunSenators (Ott)D281988-06-03No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Tim ErixonSenators (Ott)D251991-02-23No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.62198 Lbs6 ft12.10466,571$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin BaileyGabriel FontaineJean-Sebastien Dea40122
2A.J. GreerGrayson DowningAdam Cracknell30122
3Max McCormickJustin BaileyA.J. Greer20122
4Ethan WerekMax McCormickGabriel Fontaine10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz40122
2Carl DahlstromTaylor Fedun30122
3Cody GoloubefTim Erixon20122
4Brady AustinMatt Taormina10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin BaileyGabriel FontaineJean-Sebastien Dea60122
2A.J. GreerGrayson DowningAdam Cracknell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz60122
2Carl DahlstromTaylor Fedun40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyA.J. Greer60122
2Max McCormickGabriel Fontaine40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz60122
2Carl DahlstromTaylor Fedun40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Bailey60122Andreas BorgmanJordan Schmaltz60122
2A.J. Greer40122Carl DahlstromTaylor Fedun40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyA.J. Greer60122
2Max McCormickGabriel Fontaine40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz60122
2Carl DahlstromTaylor Fedun40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin BaileyGabriel FontaineJean-Sebastien DeaAndreas BorgmanJordan Schmaltz
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin BaileyGabriel FontaineJean-Sebastien DeaAndreas BorgmanJordan Schmaltz
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Drew Miller, Ryan Carter, Ethan WerekDrew Miller, Ryan CarterEthan Werek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Englund, Cody Goloubef, Tim ErixonAndreas EnglundCody Goloubef, Tim Erixon
Tirs de Pénalité
Justin Bailey, A.J. Greer, Max McCormick, Gabriel Fontaine, Jean-Sebastien Dea
Gardien
#1 : Eddie Pasquale, #2 : Chris Driedger


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
1Comets11000000514000000000001100000051421.00059140052603731324502498216116.67%4175.00%0548464.29%597479.73%333886.84%947352163218
2Moose22000000835000000000002200000083541.00081422005260713132450421026628112.50%13192.31%0548464.29%597479.73%333886.84%947352163218
Total3300000013490000000000033000000134961.00013233600526010831324506619348314214.29%17288.24%0548464.29%597479.73%333886.84%947352163218
_Since Last GM Reset3300000013490000000000033000000134961.00013233600526010831324506619348314214.29%17288.24%0548464.29%597479.73%333886.84%947352163218
_Vs Conference22000000835000000000002200000083541.00081422005260713132450421026628112.50%13192.31%0548464.29%597479.73%333886.84%947352163218

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
36W31323361086619348300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3300000134
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3300000134
Derniers 10 Matchs
WLOTWOTL SOWSOL
300000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14214.29%17288.24%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
31324505260
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
548464.29%597479.73%333886.84%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
947352163218


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
4 - 2018-09-0812Senators5Comets1WSommaire du Match
10 - 2018-09-1438Senators4Moose2WSommaire du Match
11 - 2018-09-1549Senators4Moose1WSommaire du Match
15 - 2018-09-1964Devils-Senators-
17 - 2018-09-2171Wolf Pack-Senators-
18 - 2018-09-2286Americans-Senators-
22 - 2018-09-26105Devils-Senators-
24 - 2018-09-28108Griffins-Senators-
25 - 2018-09-29121Griffins-Senators-
29 - 2018-10-03137Senators-Rocket-
31 - 2018-10-05140Senators-Crunch-
32 - 2018-10-06157Senators-Crunch-
38 - 2018-10-12183Marlies-Senators-
39 - 2018-10-13196Marlies-Senators-
43 - 2018-10-17218Comets-Senators-
45 - 2018-10-19225Marlies-Senators-
46 - 2018-10-20236Sound Tigers-Senators-
49 - 2018-10-23253Senators-Checkers-
50 - 2018-10-24258Senators-Checkers-
53 - 2018-10-27279Senators-Comets-
57 - 2018-10-31305Senators-Rocket-
59 - 2018-11-02309Comets-Senators-
60 - 2018-11-03324Phantoms-Senators-
66 - 2018-11-09351Rocket-Senators-
67 - 2018-11-10365Bruins-Senators-
68 - 2018-11-11378Senators-Marlies-
71 - 2018-11-14387Senators-Rocket-
73 - 2018-11-16394Senators-Phantoms-
74 - 2018-11-17410Senators-Devils-
78 - 2018-11-21430Senators-Americans-
80 - 2018-11-23436Senators-Monsters-
81 - 2018-11-24449Senators-Monsters-
85 - 2018-11-28464Senators-Marlies-
86 - 2018-11-29473Rocket-Senators-
88 - 2018-12-01491Devils-Senators-
92 - 2018-12-05513Senators-Rocket-
94 - 2018-12-07519Checkers-Senators-
95 - 2018-12-08534Checkers-Senators-
99 - 2018-12-12553Monsters-Senators-
101 - 2018-12-14564Senators-Griffins-
102 - 2018-12-15579Senators-Griffins-
106 - 2018-12-19599Senators-Rocket-
108 - 2018-12-21605Senators-Crunch-
109 - 2018-12-22621Senators-Comets-
115 - 2018-12-28656Marlies-Senators-
116 - 2018-12-29674Marlies-Senators-
123 - 2019-01-05705Senators-Devils-
124 - 2019-01-06711Senators-Bears-
126 - 2019-01-08714Senators-Marlies-
129 - 2019-01-11727Senators-Rocket-
130 - 2019-01-12741Rocket-Senators-
131 - 2019-01-13753Senators-Marlies-
134 - 2019-01-16765Crunch-Senators-
136 - 2019-01-18769Monsters-Senators-
137 - 2019-01-19783Monsters-Senators-
139 - 2019-01-21804Rocket-Senators-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25823Senators-Devils-
144 - 2019-01-26834Senators-Americans-
150 - 2019-02-01860Moose-Senators-
151 - 2019-02-02872Moose-Senators-
156 - 2019-02-07896Senators-Monsters-
157 - 2019-02-08898Senators-Monsters-
160 - 2019-02-11931Senators-Marlies-
164 - 2019-02-15947Rocket-Senators-
165 - 2019-02-16959Rocket-Senators-
169 - 2019-02-20979Comets-Senators-
171 - 2019-02-22986Senators-Bruins-
172 - 2019-02-231002Senators-Sound Tigers-
176 - 2019-02-271019Crunch-Senators-
179 - 2019-03-021042Senators-Wolf Pack-
183 - 2019-03-061064Crunch-Senators-
185 - 2019-03-081073Bears-Senators-
186 - 2019-03-091090Monsters-Senators-
190 - 2019-03-131108Marlies-Senators-
193 - 2019-03-161128Senators-Marlies-
194 - 2019-03-171142Americans-Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
73,580$ 97,980$ 70,230$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 6,565$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 5,660$ 1,024,460$




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
1333000000134900000000000330000001349613233600526010831324506619348314214.29%17288.24%0548464.29%597479.73%333886.84%947352163218
Total Saison Régulière33000000134900000000000330000001349613233600526010831324506619348314214.29%17288.24%0548464.29%597479.73%333886.84%947352163218