Senators

GP: 55 | W: 39 | L: 14 | OTL: 2 | P: 80
GF: 180 | GA: 103 | PP%: 19.73% | PK%: 87.62%
DG: Marc-André Bilodeau Lamontagne | Morale : 80 | Moyenne d'Équipe : 60
Prochain matchs #804 vs Rocket
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Matt MoulsonXX100.00635580738282727150606080558685116670
2Justin BaileyXX100.00735565847669706750616472557070187660
3A.J. GreerX100.00675561727973696550636061555050187620
4Max McCormickX100.00565558696963726762555562555050188590
5Gabriel Fontaine (R)X100.00785582557270785550555555556674187580
6Ethan WerekX100.00605571657267675550555555557375187580
7Jean-Sebastien DeaX100.00605574626561726064606060555050188580
8Drew MillerX100.00555555555555555550555555557173179550
9Grayson DowningX100.00565555555657565550555555557250187540
10Ryan CarterX100.00555555555555555550555555557172165540
11Xavier OuelletX100.00765595808474807425646075557676154710
12Jordan SchmaltzX100.00675563817469687025616066555353185650
13Carl DahlstromX100.00685575617982676825626068555353186640
14Taylor FedunX100.00625567717276626425616064555353187620
15Cody GoloubefX100.00555555605555785525555555558174187570
16Andreas EnglundX100.00555555605555675525555555555353187550
17Matt TaorminaX100.00555555605555775525555555555353187550
18Brady AustinX100.00555555605555725525555555555353187550
19Tim ErixonX100.00555555605555665525555555555757188550
Rayé
1Dakota MermisX100.00575555605555675525555555555353120540
MOYENNE D'ÉQUIPE100.0061556465666469613958576155626117759
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
1Eddie Pasquale100.0071717382707076707072556968183700
2Chris Driedger100.0060778179646465636762555961187650
Rayé
MOYENNE D'ÉQUIPE100.006674778167677167696755646518568
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
1Justin BaileySenators (Ott)LW/RW55283765167401431612415017911.62%15126222.95515205222503342402153.03%72600021.0304000674
2Jordan SchmaltzSenators (Ott)D55104555145810646511639778.62%41120621.9352227842471121243310.00%000000.9100011164
3A.J. GreerSenators (Ott)LW5528265432560131971895412614.81%12129623.58512173521710152298345.87%10900000.8324000842
4Carl DahlstromSenators (Ott)D5519264519701011153110297917.27%51111320.2516824892340220228230.00%000000.8100001544
5Andreas BorgmanOttawa SenatorsD38122840774013142101385611.88%4280321.1591423681561124154200.00%000001.0000000712
6Taylor FedunSenators (Ott)D557334014640845211118826.31%49107919.6331619882271121218020.00%000000.7400000024
7Jean-Sebastien DeaSenators (Ott)RW551318311330102837101308212.87%389116.21481225229000013058.82%5100000.7001002111
8Max McCormickSenators (Ott)LW5512132518495649212136849.92%489416.260000100011303156.45%51900000.5613001021
9Grayson DowningSenators (Ott)C557132026295739468144110.29%3101818.53314152230000294056.74%99400000.3900001411
10Cody GoloubefSenators (Ott)D556142020491550243292018.75%2872213.132248501011106210.00%000000.5500111032
11Tim ErixonSenators (Ott)D55415192235545262552016.00%2262911.4500002000049100.00%000000.6001001011
12Gabriel FontaineSenators (Ott)C557916115401256944204115.91%5121422.09246622400021383051.88%93300000.2602000014
13Ethan WerekSenators (Ott)LW55871512220415074166210.81%773113.300000900041380054.33%12700000.4111000012
14Xavier OuelletSenators (Ott)D841115104015211861822.22%1320625.78224722011036000.00%000001.4500000111
15Matt MoulsonSenators (Ott)LW/RW136713460144159134810.17%834126.2911213700000391161.06%20800000.7601000121
16Adam CracknellOttawa SenatorsRW46661220160452153136411.32%482417.9202214166000002165.79%3800000.2900000121
17Drew MillerSenators (Ott)LW36448823520132561416.00%136610.182028460001321048.91%9200000.4401001000
18Matt TaorminaSenators (Ott)D550776240401510360.00%123566.490000000000000.00%000000.3900000010
19Brady AustinSenators (Ott)D5516742003713125108.33%154067.390000100007000.00%000000.3400000000
20Dakota MermisSenators (Ott)D24325041522141221325.00%1629812.43213641101264000.00%000000.3400100010
21Andreas EnglundSenators (Ott)D55022220686210.00%31001.8201138000015000.00%000000.4011000000
22Ryan CarterSenators (Ott)LW401010405570414.29%21062.671012160000170073.33%1500000.1900000000
Stats d'équipe Total ou en Moyenne103018632951527880470129410131535408112712.12%3561587215.416210917152324226915262123371454.64%381200020.65519229354135
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)47321320.9091.82283826869500120.84219470310
2Chris DriedgerSenators (Ott)87100.9141.7448403141620000.0000855100
Stats d'équipe Total ou en Moyenne55391420.9101.8133222910011120120.842195555410


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
A.J. GreerSenators (Ott)LW201996-12-14No204 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Andreas EnglundSenators (Ott)D201996-01-21No189 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
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$0$No
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$0$No
Dakota MermisSenators (Ott)D231994-01-05No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Drew MillerSenators (Ott)LW321984-02-17No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Eddie PasqualeSenators (Ott)G261990-11-20No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
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$0$No
Grayson DowningSenators (Ott)C241992-04-18No200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
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 MoulsonSenators (Ott)LW/RW331983-10-31No200 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,500,000$0$0$No
Matt TaorminaSenators (Ott)D301986-10-19No182 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
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$0$No
Tim ErixonSenators (Ott)D251991-02-23No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Xavier OuelletSenators (Ott)D231993-07-28No200 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.73198 Lbs6 ft12.05559,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MoulsonGabriel FontaineJustin Bailey40122
2A.J. GreerGrayson DowningJean-Sebastien Dea30122
3Max McCormickMatt Moulson20122
4Ethan WerekJustin BaileyA.J. Greer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom40122
2Taylor FedunCody Goloubef30122
3Tim ErixonBrady Austin20122
4Matt TaorminaAndreas Englund10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MoulsonGabriel FontaineJustin Bailey60122
2A.J. GreerGrayson DowningJean-Sebastien Dea40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom60122
2Taylor FedunCody Goloubef40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt MoulsonJustin Bailey60122
2A.J. GreerMax McCormick40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom60122
2Taylor FedunCody Goloubef40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Moulson60122Jordan SchmaltzCarl Dahlstrom60122
2Justin Bailey40122Taylor FedunCody Goloubef40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt MoulsonJustin Bailey60122
2A.J. GreerMax McCormick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom60122
2Taylor FedunCody Goloubef40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MoulsonGabriel FontaineJustin BaileyJordan SchmaltzCarl Dahlstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MoulsonGabriel FontaineJustin BaileyJordan SchmaltzCarl Dahlstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Drew Miller, Ethan Werek, Drew Miller, Ethan Werek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Tim Erixon, Brady AustinTim Erixon, Brady Austin
Tirs de Pénalité
Matt Moulson, Justin Bailey, A.J. Greer, Max McCormick, Ethan Werek
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
1Americans2110000036-3110000003211010000004-420.50036900684958730480456546235113344113215.38%17476.47%0856163352.42%799148153.95%44578356.83%158111481087364656359
2Bears11000000404000000000001100000040421.0004711016849587324804565462322423151100.00%90100.00%0856163352.42%799148153.95%44578356.83%158111481087364656359
3Bruins1000000123-11000000123-10000000000010.5002460068495871348045654623198101811100.00%10100.00%0856163352.42%799148153.95%44578356.83%158111481087364656359
4Checkers440000002061422000000624220000001441081.000203757016849587154480456546237121491064250.00%210100.00%2856163352.42%799148153.95%44578356.83%158111481087364656359
5Comets5310100017982110000066032001000113880.80017314801684958713648045654623111257210230620.00%30776.67%0856163352.42%799148153.95%44578356.83%158111481087364656359
6Crunch43001000171161100000063332001000118381.00017314800684958784480456546239021639724416.67%28485.71%0856163352.42%799148153.95%44578356.83%158111481087364656359
7Devils50400010513-830300000310-72010001023-120.2005611106849587109480456546231214277983712.70%35488.57%0856163352.42%799148153.95%44578356.83%158111481087364656359
8Griffins430000101688210000107252200000096381.00016233901684958785480456546238125589019842.11%25580.00%0856163352.42%799148153.95%44578356.83%158111481087364656359
9Marlies990000005274555000000302284400000022517181.0005296148046849587358480456546231576270211321650.00%29196.55%2856163352.42%799148153.95%44578356.83%158111481087364656359
10Monsters5410000010823210000056-12200000052380.800101727006849587123480456546238923771054349.30%33390.91%0856163352.42%799148153.95%44578356.83%158111481087364656359
11Moose22000000835000000000002200000083541.000814220068495877148045654623421026628112.50%13192.31%0856163352.42%799148153.95%44578356.83%158111481087364656359
12Phantoms211000005411010000012-11100000042220.500591400684958746480456546234111284817423.53%13284.62%0856163352.42%799148153.95%44578356.83%158111481087364656359
13Rocket925001101721-43020010069-3623000101112-170.389172845016849587207480456546231824915421250714.00%50786.00%1856163352.42%799148153.95%44578356.83%158111481087364656359
14Sound Tigers11000000312110000003120000000000021.000358006849587154804565462322814224250.00%7185.71%0856163352.42%799148153.95%44578356.83%158111481087364656359
Total5534140213118010377261490011179512829205020201015249800.727180316496296849587148648045654623111432876312562945819.73%3153987.62%5856163352.42%799148153.95%44578356.83%158111481087364656359
16Wolf Pack1010000013-21010000013-20000000000000.0001231068495872348045654623156829100.00%40100.00%0856163352.42%799148153.95%44578356.83%158111481087364656359
_Since Last GM Reset5534140213118010377261490011179512829205020201015249800.727180316496296849587148648045654623111432876312562945819.73%3153987.62%5856163352.42%799148153.95%44578356.83%158111481087364656359
_Vs Conference2212701011554691146000012128-7118101010341816290.6595595150216849587516480456546234611333264941461711.64%1431589.51%0856163352.42%799148153.95%44578356.83%158111481087364656359
_Vs Division1940010004835131110000001924-583001000291118100.2634883131226849587502480456546233811152764231171311.11%1221091.80%2856163352.42%799148153.95%44578356.83%158111481087364656359

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5580W418031649614861114328763125629
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5534142131180103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2614901117951
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29205202010152
Derniers 10 Matchs
WLOTWOTL SOWSOL
710110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2945819.73%3153987.62%5
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
480456546236849587
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
856163352.42%799148153.95%44578356.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
158111481087364656359


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 - 2018-09-1964Devils4Senators1LSommaire du Match
17 - 2018-09-2171Wolf Pack3Senators1LSommaire du Match
18 - 2018-09-2286Americans2Senators3WSommaire du Match
22 - 2018-09-26105Devils3Senators1LSommaire du Match
24 - 2018-09-28108Griffins2Senators3WXXSommaire du Match
25 - 2018-09-29121Griffins0Senators4WSommaire du Match
29 - 2018-10-03137Senators2Rocket4LSommaire du Match
31 - 2018-10-05140Senators4Crunch3WSommaire du Match
32 - 2018-10-06157Senators2Crunch1WSommaire du Match
38 - 2018-10-12183Marlies0Senators7WSommaire du Match
39 - 2018-10-13196Marlies0Senators5WSommaire du Match
43 - 2018-10-17218Comets3Senators5WSommaire du Match
45 - 2018-10-19225Marlies1Senators6WSommaire du Match
46 - 2018-10-20236Sound Tigers1Senators3WSommaire du Match
49 - 2018-10-23253Senators6Checkers2WSommaire du Match
50 - 2018-10-24258Senators8Checkers2WSommaire du Match
53 - 2018-10-27279Senators5Comets2WSommaire du Match
57 - 2018-10-31305Senators0Rocket3LSommaire du Match
59 - 2018-11-02309Comets3Senators1LSommaire du Match
60 - 2018-11-03324Phantoms2Senators1LSommaire du Match
66 - 2018-11-09351Rocket3Senators2LSommaire du Match
67 - 2018-11-10365Bruins3Senators2LXXSommaire du Match
68 - 2018-11-11378Senators4Marlies0WSommaire du Match
71 - 2018-11-14387Senators2Rocket1WXXSommaire du Match
73 - 2018-11-16394Senators4Phantoms2WSommaire du Match
74 - 2018-11-17410Senators0Devils2LSommaire du Match
78 - 2018-11-21430Senators0Americans4LSommaire du Match
80 - 2018-11-23436Senators3Monsters1WSommaire du Match
81 - 2018-11-24449Senators2Monsters1WSommaire du Match
85 - 2018-11-28464Senators4Marlies2WSommaire du Match
86 - 2018-11-29473Rocket3Senators2LSommaire du Match
88 - 2018-12-01491Devils3Senators1LSommaire du Match
92 - 2018-12-05513Senators2Rocket1WSommaire du Match
94 - 2018-12-07519Checkers2Senators4WSommaire du Match
95 - 2018-12-08534Checkers0Senators2WSommaire du Match
99 - 2018-12-12553Monsters3Senators0LSommaire du Match
101 - 2018-12-14564Senators3Griffins2WSommaire du Match
102 - 2018-12-15579Senators6Griffins4WSommaire du Match
106 - 2018-12-19599Senators4Rocket0WSommaire du Match
108 - 2018-12-21605Senators5Crunch4WXSommaire du Match
109 - 2018-12-22621Senators1Comets0WXSommaire du Match
115 - 2018-12-28656Marlies0Senators5WSommaire du Match
116 - 2018-12-29674Marlies1Senators7WSommaire du Match
123 - 2019-01-05705Senators2Devils1WXXSommaire du Match
124 - 2019-01-06711Senators4Bears0WSommaire du Match
126 - 2019-01-08714Senators9Marlies2WSommaire du Match
129 - 2019-01-11727Senators1Rocket3LSommaire du Match
130 - 2019-01-12741Rocket3Senators2LXSommaire du Match
131 - 2019-01-13753Senators5Marlies1WSommaire du Match
134 - 2019-01-16765Crunch3Senators6WSommaire du Match
136 - 2019-01-18769Monsters2Senators3WSommaire du Match
137 - 2019-01-19783Monsters1Senators2WSommaire du Match
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
Assistance00
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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
780,300$ 122,980$ 99,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 74,105$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 5,789$ 329,973$




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
13553414021311801037726149001117951282920502020101524980180316496296849587148648045654623111432876312562945819.73%3153987.62%5856163352.42%799148153.95%44578356.83%158111481087364656359
Total Saison Régulière553414021311801037726149001117951282920502020101524980180316496296849587148648045654623111432876312562945819.73%3153987.62%5856163352.42%799148153.95%44578356.83%158111481087364656359