Ottawa Senateurs

GP: 66 | W: 28 | L: 31 | OTL: 7 | P: 63
GF: 178 | GA: 200 | PP%: 19.57% | PK%: 78.72%
DG: Marc-André Bilodeau Lamontagne | Morale : 29 | Moyenne d'Équipe : N/A
Prochain matchs #1001 vs Philadelphie Flyers
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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
1Antoine VermetteX100.0070507988888587749981649650858811800
2Colton SceviourXXX100.0087508777738188715275608250807514600
3Zach Parise (C)X99.0072507789898884855685848050899413500
4Jay BeagleXX100.0072508874946781689877749250908212000
5Michael FrolikXXX100.0065507885908787745083789350817813700
6Kris VersteegX100.0065507881858087775483777080818214500
7Milan LucicXX100.0097507982999099815383837850858413300
8Shawn MatthiasXX100.0078508777956774655059717950727311900
9Patric HornqvistXXX99.0099508483858588865084847450868214300
10Zack KassianXXX100.0096505980958072745077687050767214500
11Tom WilsonX100.0098506081998298755072598550757414500
12Tomas HertlX100.0090508891809077858577757450646613600
13Jack Johnson (A)X99.0079508890938988832570639650878512100
14Brenden DillonX100.0096508385947695632561608150767012000
15Matt IrwinX100.0090508276887686732560587650827712400
16Luca SbisaX100.0091508778848380742563608350707113500
17Nikita ZadorovX100.0098507686978482642562608750717014600
18Kris LetangX99.0095508097859879962591728885888511600
Rayé
1Adam CracknellXX100.0058506272785666625868706850606111900
2Drew MillerX100.0085508672695662635554667050737611900
3Cody GoloubefX100.0076507974727664602552508350797215500
4Justin SchultzX100.0076508791838787952588758350807711500
5Andreas Englund (R)X100.0055715874716669502555505850505014400
MOYENNE D'ÉQUIPE99.838251798286808274477268805377761320
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 Pasquale95.007171738270767070727396696815600
2Joonas Korpisalo100.007378647774688571767296737013900
Rayé
1Devan Dubnyk100.009598989597959295969481878713200
MOYENNE D'ÉQUIPE98.33808278858080827981809176751420
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle89677284999985CAN601500,000$


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
1Zach PariseOttawa SenateursLW622229511195331222031310.84%12134221.66610164318300051663140.59%34000000.7604001524
2Michael FrolikOttawa SenateursC/LW/RW6421254646030951993710.55%19129120.1866124017501121635244.44%15300000.7100000323
3Milan LucicOttawa SenateursLW/RW64153045154016994182338.24%10137321.46311143518400011373141.59%21400010.6604000423
4Patric HornqvistOttawa SenateursC/LW/RW66152742-36410138106176158.52%4133920.293811302090000401038.54%85100100.6303011233
5Antoine VermetteOttawa SenateursC581821391160301561000418.00%2199317.133811119510171745156.63%125900100.7900000250
6Justin SchultzOttawa SenateursD496333943410237890006.67%64107722.004913491290000145110.00%000000.7200011222
7Kris LetangOttawa SenateursD5472431-1585516290702310.00%67121222.45279341350002147200.00%000100.5100001221
8Tomas HertlOttawa SenateursC66151530-5415103174192167.81%1126419.16538341750000221353.51%163900000.4711001202
9Nikita ZadorovOttawa SenateursD66101424087515246660015.15%102140121.238311351730001181030.00%000000.3400001032
10Luca SbisaOttawa SenateursD664192318340944743119.30%62108016.37112862011070000.00%000000.4300000012
11Tom WilsonOttawa SenateursLW6611112276009657760014.47%66549.91000010001401127.59%5800000.6700000011
12Jack JohnsonOttawa SenateursD5171421-15140315983028.43%76117222.99369361450001183000.00%000000.3600000001
13Kris VersteegOttawa SenateursLW6661016-8100203077227.79%469510.53033951000053037.10%6200000.4600000002
14Zack KassianOttawa SenateursC/LW/RW6679167400914273239.59%572110.93011233000000145.65%9200000.4400000121
15Colton SceviourOttawa SenateursC/LW/RW6631013-795454654115.56%56249.460114230000301139.39%29700000.4200001010
16Brenden DillonOttawa SenateursD4001010-44820702017120.00%3969617.41011773000073000.00%000000.2900112000
17Jay BeagleOttawa SenateursC/LW50459160148762046.45%851110.24101260002771058.51%55200000.3500000000
18Matt IrwinOttawa SenateursD602681455863031006.45%5595115.86022628000064000.00%000000.1700000110
19Shawn MatthiasOttawa SenateursLW/RW45325-51001913300010.00%83467.69000380001220041.41%9900000.2900000000
20Cody GoloubefOttawa SenateursD170447201657000.00%1729317.29000217000034000.00%000000.2700000001
21Adam CracknellOttawa SenateursLW/RW25112-9204680012.50%11777.10000030000120039.13%4600000.2300000000
22Andreas EnglundOttawa SenateursD4000220300000.00%15914.960000000003000.00%000000.0000000000
23Drew MillerOttawa SenateursLW17000-320815000.00%01026.0200000000000012.50%800000.0000000000
Stats d'équipe Total ou en Moyenne1188177319496-106807014371404184418469.60%5871938316.3245801253901920123231798271549.28%567000310.51112139242728
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
1Devan DubnykOttawa Senateurs55252540.9002.8532474315415420000.66712548501
2Joonas KorpisaloOttawa Senateurs112430.8983.3756900323130100.0000957000
3Eddie PasqualeOttawa Senateurs31200.8904.0216400111000000.000031000
Stats d'équipe Total ou en Moyenne69283170.8992.9739804319719550100.667126666501


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
Adam CracknellOttawa SenateursLW/RW311985-07-15No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$500,000$121,387$No500,000$500,000$
Andreas EnglundOttawa SenateursD201996-01-21Yes189 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$72,832$No300,000$300,000$300,000$
Antoine VermetteOttawa SenateursC341982-07-19No198 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No2,500,000$
Brenden DillonOttawa SenateursD261990-11-13No225 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm1,000,000$1,000,000$242,775$No1,000,000$1,000,000$1,000,000$
Cody GoloubefOttawa SenateursD271989-11-29No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Colton SceviourOttawa SenateursC/LW/RW271989-04-19No200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm2,000,000$2,000,000$485,549$No2,000,000$2,000,000$2,000,000$
Devan DubnykOttawa SenateursG301986-05-03No210 Lbs6 ft6NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$242,775$No
Drew MillerOttawa SenateursLW321984-02-16No180 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm500,000$500,000$121,387$No500,000$500,000$500,000$
Eddie PasqualeOttawa SenateursG261990-11-19No215 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm500,000$500,000$121,387$No500,000$500,000$500,000$
Jack JohnsonOttawa SenateursD301987-01-12No238 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm3,500,000$3,500,000$849,711$No3,500,000$3,500,000$3,500,000$
Jay BeagleOttawa SenateursC/LW311985-10-16No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,000,000$2,000,000$485,549$No2,000,000$2,000,000$
Joonas KorpisaloOttawa SenateursG221994-04-28No185 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$224,566$No
Justin SchultzOttawa SenateursD261990-07-05No196 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$849,711$No
Kris LetangOttawa SenateursD291987-04-24No201 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$1,213,873$No5,000,000$
Kris VersteegOttawa SenateursLW301986-05-13No176 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No
Luca SbisaOttawa SenateursD261990-01-30No198 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,000,000$2,000,000$485,549$No2,000,000$
Matt IrwinOttawa SenateursD291987-11-29No210 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$242,775$No
Michael FrolikOttawa SenateursC/LW/RW281988-02-16No200 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No2,500,000$2,500,000$
Milan LucicOttawa SenateursLW/RW281988-06-06No235 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$1,213,873$No5,000,000$5,000,000$
Nikita ZadorovOttawa SenateursD211995-04-15No220 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$218,497$No900,000$
Patric HornqvistOttawa SenateursC/LW/RW301987-01-01No189 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$849,711$No3,500,000$
Shawn MatthiasOttawa SenateursLW/RW281988-02-19No223 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$242,775$No1,000,000$1,000,000$
Tom WilsonOttawa SenateursLW221994-03-29No210 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm300,000$300,000$72,832$No
Tomas HertlOttawa SenateursC231993-11-12No210 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm750,000$750,000$182,081$No
Zach PariseOttawa SenateursLW321984-07-27No197 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$1,578,035$No
Zack KassianOttawa SenateursC/LW/RW251991-01-24No214 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2627.42205 Lbs6 ft22.271,914,423$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,775,000$32,700,000$18,800,000$7,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach PariseTomas HertlPatric Hornqvist40122
2Kris VersteegMichael FrolikMilan Lucic30122
3Tom WilsonAntoine VermetteZack Kassian20122
4Colton SceviourJay BeagleShawn Matthias10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJack Johnson40122
2Nikita ZadorovBrenden Dillon30122
3Luca SbisaMatt Irwin20122
4Kris LetangJack Johnson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach ParisePatric HornqvistMilan Lucic60122
2Kris VersteegMichael FrolikColton Sceviour40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJack Johnson60122
2Nikita ZadorovBrenden Dillon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zach PariseMilan Lucic60122
2Patric HornqvistMichael Frolik40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJack Johnson60122
2Nikita ZadorovBrenden Dillon40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Parise60122Kris LetangJack Johnson60122
2Milan Lucic40122Nikita ZadorovBrenden Dillon40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zach PariseMilan Lucic60122
2Patric HornqvistMichael Frolik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJack Johnson60122
2Nikita ZadorovBrenden Dillon40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach ParisePatric HornqvistMilan LucicKris LetangJack Johnson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach ParisePatric HornqvistMilan LucicKris LetangJack Johnson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Antoine Vermette, Tomas Hertl, Tom WilsonAntoine Vermette, Tomas HertlTom Wilson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Luca Sbisa, Matt Irwin, Nikita ZadorovLuca SbisaMatt Irwin, Nikita Zadorov
Tirs de Pénalité
Zach Parise, Milan Lucic, Patric Hornqvist, Michael Frolik, Antoine Vermette
Gardien
#1 : Eddie Pasquale, #2 : Joonas Korpisalo


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
1Anaheim Ducks2110000056-1110000003211010000024-220.50051015001310551524160622522456233.33%11190.91%01156225951.17%1134234348.40%504103548.70%483246142512
2Boston Bruins31200000810-2110000004312020000047-320.33381321004400602321160973036708337.50%13192.31%01156225951.17%1134234348.40%504103548.70%644277223818
3Buffalo Sabres32100000981220000007341010000025-340.667915240034209927393306415266611218.18%12191.67%01156225951.17%1134234348.40%504103548.70%815861193719
4Calgary Flames22000000963110000005321100000043141.000916250023406118232006521184111218.18%8450.00%01156225951.17%1134234348.40%504103548.70%493644142512
5Caroline Hurricanes31200000513-81010000027-52110000036-320.33351015014100853228250942822633133.33%11372.73%01156225951.17%1134234348.40%504103548.70%634480213616
6Chicago Blackhawks1010000024-21010000024-20000000000000.0002350001104517131503271228600.00%6266.67%01156225951.17%1134234348.40%504103548.70%2517217136
7Colorado Avalanche210001008621000010034-11100000052330.75081422002240801341260622116687457.14%8362.50%01156225951.17%1134234348.40%504103548.70%493444142714
8Columbus Blue Jackets30200100510-51010000002-22010010058-310.16757120003206018172418334306110220.00%15380.00%01156225951.17%1134234348.40%504103548.70%634078254019
9Dallas Stars2010010027-51010000015-41000010012-110.25024600110058192316056111040600.00%5180.00%01156225951.17%1134234348.40%504103548.70%453149142613
10Detroit Red Wings22000000743110000003211100000042241.00071421003400521219210632223426233.33%9188.89%01156225951.17%1134234348.40%504103548.70%442949152613
11Floride Panthers30100002710-31000000134-12010000146-220.333714210021407319193110962528631119.09%14192.86%01156225951.17%1134234348.40%504103548.70%694578234120
12Los Angeles Kings1010000014-3000000000001010000014-300.0001230000102310310034101020200.00%5260.00%01156225951.17%1134234348.40%504103548.70%2416227136
13Minnesota Wild211000008531010000045-11100000040420.500815230134106519232307320164310220.00%8187.50%01156225951.17%1134234348.40%504103548.70%442949162613
14Montreal Canadiens312000005502020000014-31100000041320.333510150023007430212307522325511218.18%15286.67%01156225951.17%1134234348.40%504103548.70%765465223718
15Nashville Predators20200000512-71010000035-21010000027-500.00058130003204472017080252638800.00%13469.23%11156225951.17%1134234348.40%504103548.70%412752152612
16New Jersey Devils63300000191543210000096331200000109160.5001935540179301827754510180507311820525.00%28678.57%01156225951.17%1134234348.40%504103548.70%144101144427135
17New York Islanders21100000541000000000002110000054120.5005914001310571521210561315468225.00%4250.00%01156225951.17%1134234348.40%504103548.70%473147152512
18New York Rangers311001009902010010058-31100000041330.50091524005220832933210722238578112.50%9366.67%01156225951.17%1134234348.40%504103548.70%735271213517
19Philadelphie Flyers3120000089-1000000000003120000089-120.333815230017006510342108327496711218.18%16475.00%01156225951.17%1134234348.40%504103548.70%745267213718
20Phoenix Coyotes21000010633100000103211100000031241.0006814002121692324206481010371218.33%4175.00%01156225951.17%1134234348.40%504103548.70%503546152714
21Pittsburgh Penguins522000011317-43200000110822020000039-650.5001323360062501293743483150624013115426.67%140100.00%01156225951.17%1134234348.40%504103548.70%12283117366532
22San Jose Sharks31200000711-42110000057-21010000024-220.3337142100322080312920010726475414428.57%15660.00%01156225951.17%1134234348.40%504103548.70%714970223718
23Tampa Bay Lightning22000000743220000007430000000000041.0007111800160052122515046151835400.00%9188.89%01156225951.17%1134234348.40%504103548.70%523542132613
24Toronto Maple Leafs3120000089-12020000058-31100000031220.3338162400323011444313908923417511218.18%17382.35%01156225951.17%1134234348.40%504103548.70%835960193520
Total66273100413178200-223314140021290102-12331317002018898-10630.477178319497035875441184457865760120195558768414372304519.57%2826078.72%11156225951.17%1134234348.40%504103548.70%157610841562486845423
26Vancouver Canucks1010000024-21010000024-20000000000000.00024600002022679030101220300.00%6350.00%01156225951.17%1134234348.40%504103548.70%2013268136
27Washington Capitals11000000532000000000001100000053221.000591400122025710803148254125.00%40100.00%01156225951.17%1134234348.40%504103548.70%2316237136
28Winnipeg Jets11000000321110000003210000000000021.00035800120032812120279629400.00%3166.67%01156225951.17%1134234348.40%504103548.70%2214227148
_Since Last GM Reset66273100413178200-223314140021290102-12331317002018898-10630.477178319497035875441184457865760120195558768414372304519.57%2826078.72%11156225951.17%1134234348.40%504103548.70%157610841562486845423
_Vs Conference45192100203120130-1021108001025659-324913001016471-7430.47812021633602435324012103924153971412793924799741413021.28%1903183.68%01156225951.17%1134234348.40%504103548.70%10837461065327569283
_Vs Division1998000025150111640000130282834000012122-1200.52651931440018249052416717517810530152204406621219.35%891088.76%01156225951.17%1134234348.40%504103548.70%471323434136243124

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6663W117831949718441955587684143703
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6627310413178200
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
331414021290102
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
33131702018898
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2304519.57%2826078.72%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
578657601205875441
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
1156225951.17%1134234348.40%504103548.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
157610841562486845423


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2017-10-015New Jersey Devils0Ottawa Senateurs2WSommaire du Match
2 - 2017-10-0225Ottawa Senateurs0New York Islanders2LSommaire du Match
3 - 2017-10-0330Ottawa Senateurs3New Jersey Devils5LSommaire du Match
6 - 2017-10-0644Ottawa Senateurs2Boston Bruins3LSommaire du Match
8 - 2017-10-0857Pittsburgh Penguins2Ottawa Senateurs3WSommaire du Match
9 - 2017-10-0967Ottawa Senateurs4Philadelphie Flyers1WSommaire du Match
11 - 2017-10-1187San Jose Sharks5Ottawa Senateurs0LSommaire du Match
14 - 2017-10-14101Ottawa Senateurs3Floride Panthers4LXXSommaire du Match
15 - 2017-10-15116Buffalo Sabres2Ottawa Senateurs4WSommaire du Match
16 - 2017-10-16131Montreal Canadiens2Ottawa Senateurs0LSommaire du Match
19 - 2017-10-19150Ottawa Senateurs2Caroline Hurricanes0WSommaire du Match
21 - 2017-10-21167Ottawa Senateurs2Columbus Blue Jackets4LSommaire du Match
23 - 2017-10-23176Pittsburgh Penguins2Ottawa Senateurs4WSommaire du Match
25 - 2017-10-25196New York Rangers4Ottawa Senateurs2LSommaire du Match
26 - 2017-10-26204Ottawa Senateurs1Pittsburgh Penguins6LSommaire du Match
30 - 2017-10-30225Ottawa Senateurs1Philadelphie Flyers4LSommaire du Match
31 - 2017-10-31236Tampa Bay Lightning1Ottawa Senateurs2WSommaire du Match
33 - 2017-11-02255Ottawa Senateurs5Washington Capitals3WSommaire du Match
35 - 2017-11-04265New York Rangers4Ottawa Senateurs3LXSommaire du Match
37 - 2017-11-06282Ottawa Senateurs2San Jose Sharks4LSommaire du Match
38 - 2017-11-07294Anaheim Ducks2Ottawa Senateurs3WSommaire du Match
39 - 2017-11-08309Ottawa Senateurs1Dallas Stars2LXSommaire du Match
40 - 2017-11-09325Boston Bruins3Ottawa Senateurs4WSommaire du Match
44 - 2017-11-13341Ottawa Senateurs3Toronto Maple Leafs1WSommaire du Match
47 - 2017-11-16351Buffalo Sabres1Ottawa Senateurs3WSommaire du Match
50 - 2017-11-19377Columbus Blue Jackets2Ottawa Senateurs0LSommaire du Match
53 - 2017-11-22396Ottawa Senateurs2Anaheim Ducks4LSommaire du Match
54 - 2017-11-23410San Jose Sharks2Ottawa Senateurs5WSommaire du Match
59 - 2017-11-28431Tampa Bay Lightning3Ottawa Senateurs5WSommaire du Match
62 - 2017-12-01455Montreal Canadiens2Ottawa Senateurs1LSommaire du Match
63 - 2017-12-02463Ottawa Senateurs5Colorado Avalanche2WSommaire du Match
65 - 2017-12-04478Ottawa Senateurs1Floride Panthers2LSommaire du Match
66 - 2017-12-05495Chicago Blackhawks4Ottawa Senateurs2LSommaire du Match
68 - 2017-12-07510Ottawa Senateurs4Minnesota Wild0WSommaire du Match
70 - 2017-12-09524Detroit Red Wings2Ottawa Senateurs3WSommaire du Match
73 - 2017-12-12537Ottawa Senateurs1New Jersey Devils3LSommaire du Match
75 - 2017-12-14551Phoenix Coyotes2Ottawa Senateurs3WXXSommaire du Match
77 - 2017-12-16567Ottawa Senateurs2Buffalo Sabres5LSommaire du Match
78 - 2017-12-17581Ottawa Senateurs2Pittsburgh Penguins3LSommaire du Match
79 - 2017-12-18588Pittsburgh Penguins4Ottawa Senateurs3LXXSommaire du Match
82 - 2017-12-21611Winnipeg Jets2Ottawa Senateurs3WSommaire du Match
84 - 2017-12-23625Ottawa Senateurs3Columbus Blue Jackets4LXSommaire du Match
85 - 2017-12-24641New Jersey Devils2Ottawa Senateurs4WSommaire du Match
86 - 2017-12-25654Ottawa Senateurs4New York Rangers1WSommaire du Match
88 - 2017-12-27669Ottawa Senateurs2Nashville Predators7LSommaire du Match
89 - 2017-12-28679New Jersey Devils4Ottawa Senateurs3LSommaire du Match
91 - 2017-12-30698Ottawa Senateurs2Boston Bruins4LSommaire du Match
93 - 2018-01-01707Toronto Maple Leafs4Ottawa Senateurs3LSommaire du Match
95 - 2018-01-03727Caroline Hurricanes7Ottawa Senateurs2LSommaire du Match
97 - 2018-01-05737Ottawa Senateurs1Caroline Hurricanes6LSommaire du Match
98 - 2018-01-06748Ottawa Senateurs3Phoenix Coyotes1WSommaire du Match
100 - 2018-01-08762Ottawa Senateurs1Los Angeles Kings4LSommaire du Match
102 - 2018-01-10773Colorado Avalanche4Ottawa Senateurs3LXSommaire du Match
105 - 2018-01-13792Ottawa Senateurs3Philadelphie Flyers4LSommaire du Match
106 - 2018-01-14801Calgary Flames3Ottawa Senateurs5WSommaire du Match
112 - 2018-01-20824Toronto Maple Leafs4Ottawa Senateurs2LSommaire du Match
114 - 2018-01-22831Ottawa Senateurs4Montreal Canadiens1WSommaire du Match
116 - 2018-01-24846Ottawa Senateurs5New York Islanders2WSommaire du Match
118 - 2018-01-26863Vancouver Canucks4Ottawa Senateurs2LSommaire du Match
121 - 2018-01-29886Dallas Stars5Ottawa Senateurs1LSommaire du Match
123 - 2018-01-31904Ottawa Senateurs4Calgary Flames3WSommaire du Match
124 - 2018-02-01915Floride Panthers4Ottawa Senateurs3LXXSommaire du Match
125 - 2018-02-02923Ottawa Senateurs6New Jersey Devils1WSommaire du Match
127 - 2018-02-04944Minnesota Wild5Ottawa Senateurs4LSommaire du Match
129 - 2018-02-06967Nashville Predators5Ottawa Senateurs3LSommaire du Match
131 - 2018-02-08982Ottawa Senateurs4Detroit Red Wings2WSommaire du Match
135 - 2018-02-121001Philadelphie Flyers-Ottawa Senateurs-
136 - 2018-02-131018Ottawa Senateurs-Chicago Blackhawks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161030Ottawa Senateurs-St-Louis Blues-
140 - 2018-02-171042New York Islanders-Ottawa Senateurs-
143 - 2018-02-201062Washington Capitals-Ottawa Senateurs-
146 - 2018-02-231075Ottawa Senateurs-Detroit Red Wings-
148 - 2018-02-251092Washington Capitals-Ottawa Senateurs-
152 - 2018-03-011116Edmonton Oilers-Ottawa Senateurs-
153 - 2018-03-021125Ottawa Senateurs-Winnipeg Jets-
154 - 2018-03-031133Ottawa Senateurs-Tampa Bay Lightning-
156 - 2018-03-051152Edmonton Oilers-Ottawa Senateurs-
159 - 2018-03-081163Ottawa Senateurs-Edmonton Oilers-
163 - 2018-03-121184St-Louis Blues-Ottawa Senateurs-
168 - 2018-03-171199Ottawa Senateurs-Tampa Bay Lightning-
169 - 2018-03-181204Ottawa Senateurs-Vancouver Canucks-
172 - 2018-03-211229Los Angeles Kings-Ottawa Senateurs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance151,109123,31149,535102,83225,368
Attendance PCT76.32%74.73%75.05%77.90%76.87%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
8 13702 - 76.12% 855,642$28,236,171$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
35,484,417$ 49,775,000$ 33,668,333$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,775,000$ 34,947,242$ 0$ 26 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
6,845,132$ 42 290,607$ 12,205,494$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
13,382,392$ 49,775,000$ 110,602,909$ 104,065,649$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Adam CracknellAGE:31PO:1OV:0
Colton SceviourAGE:27PO:1OV:0
Zach PariseAGE:32PO:1OV:0
Jay BeagleAGE:31PO:1OV:0
Michael FrolikAGE:28PO:1OV:0
Drew MillerAGE:32PO:1OV:0
Kris VersteegAGE:30PO:1OV:0
Milan LucicAGE:28PO:1OV:0
Ryan CarterAGE:33PO:1OV:0
Shawn MatthiasAGE:28PO:1OV:0
Patric HornqvistAGE:30PO:1OV:0
Zack KassianAGE:25PO:1OV:0
Tom WilsonAGE:22PO:1OV:0
Antoine VermetteAGE:34PO:1OV:0
Grayson DowningAGE:24PO:1OV:0
Colton SceviourAGE:27PO:1OV:0
Ethan WerekAGE:25PO:1OV:0
Jay BeagleAGE:31PO:1OV:0
Michael FrolikAGE:28PO:1OV:0
Patric HornqvistAGE:30PO:1OV:0
Zack KassianAGE:25PO:1OV:0
Tomas HertlAGE:23PO:1OV:0
Adam CracknellAGE:31PO:1OV:0
Colton SceviourAGE:27PO:1OV:0
Michael FrolikAGE:28PO:1OV:0
Milan LucicAGE:28PO:1OV:0
Ryan CarterAGE:33PO:1OV:0
Shawn MatthiasAGE:28PO:1OV:0
Patric HornqvistAGE:30PO:1OV:0
Zack KassianAGE:25PO:1OV:0

Défense #1Défense #2Gardien
Jack JohnsonAGE:30PO:1OV:0
Jordan SchmaltzAGE:23PO:1OV:0
Cody GoloubefAGE:27PO:1OV:0
Brenden DillonAGE:26PO:1OV:0
Justin SchultzAGE:26PO:1OV:0
Matt IrwinAGE:29PO:1OV:0
*Andreas EnglundAGE:20PO:1OV:0
Luca SbisaAGE:26PO:1OV:0
Nikita ZadorovAGE:21PO:1OV:0
Matt TaorminaAGE:30PO:1OV:0
Taylor FedunAGE:28PO:1OV:0
Tim ErixonAGE:25PO:1OV:0
Kris LetangAGE:29PO:1OV:0
Eddie PasqualeAGE:26PO:1OV:0
Joonas KorpisaloAGE:22PO:1OV:0
Devan DubnykAGE:30PO:1OV:0

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
AJ GreerOttawa Senateurs
Boris KatchoukOttawa Senateurs1247
Cameron MorrisonOttawa Senateurs1242
Carsen TwarynskiOttawa Senateurs12130
Christopher BrownOttawa Senateurs10147
Jean-Francois JacquesOttawa Senateurs
Jeff TaffeOttawa Senateurs
Jiri TlustyOttawa Senateurs
Johan FranzenOttawa Senateurs
Kenny RyanOttawa Senateurs
Michael PelechOttawa Senateurs
Mike CarmanOttawa Senateurs
Mike ClementeOttawa Senateurs
Nicklas GrossmannOttawa Senateurs
Olli JuoleviOttawa Senateurs1213
Zachary NagelvoortOttawa Senateurs10163

Choix au Repêchage

Année R1R2R3R4R5R6
13Cal Ott Ott Ott Edm Buf NYI Ott Ott New
14Ott Ott Ott Tor Ott
15PHX Ott Ott Ott Ott Ott
16Ott Ott Ott Ott Ott
17Ott Ott Ott Ott Ott Ott



[2017-10-18 15:24:10] - AJ Greer has been added to Ottawa Senateurs.
[2017-10-06 10:57:56] - TRADE : From Ottawa Senateurs to Toronto Maple Leafs : Blake Comeau, Y:14-RND:4-Ott.
[2017-10-06 10:57:56] - TRADE : From Toronto Maple Leafs to Ottawa Senateurs : Y:14-RND:3-Tor.
[2017-09-11 16:31:35] - TRADE : From Ottawa Senateurs to Boston Bruins : Benoit Pouliot, Marc-Edouard Vlasic.
[2017-09-11 16:31:35] - TRADE : From Boston Bruins to Ottawa Senateurs : Milan Lucic, Brenden Dillon.
[2017-09-11 16:31:28] - Brenden Dillon was added to Ottawa Senateurs.
[2017-09-11 16:31:28] - Milan Lucic was added to Ottawa Senateurs.
[2017-09-09 17:35:09] - TRADE : From Dallas Stars to Ottawa Senateurs : Y:13-RND:4-Edm.



[2018-02-23 10:22:15] Tomas Hertl from Ottawa Senateurs is back from Bruised Left Shoulder Injury.
[2018-02-23 10:22:13] Game 967 - Tomas Hertl from Ottawa Senateurs is injured (Bruised Left Shoulder) and is out for 1 days.
[2018-02-20 10:23:56] Devan Dubnyk from Ottawa Senateurs is back from Exhaustion.
[2018-02-20 10:23:56] Justin Schultz from Ottawa Senateurs is back from Bruised Right Leg Injury.
[2018-02-20 10:23:20] Successfully loaded Ottawa Senateurs lines done with STHS Client - 3.1.2.2
[2018-02-19 10:00:41] Jordan Schmaltz from Binghampton Senateurs has scored a Hat Trick!
[2018-02-19 10:00:35] Game 923 - Justin Schultz from Ottawa Senateurs is injured (Bruised Right Leg) and is out for 3 days.
[2018-02-19 10:00:05] Auto Lines Partial Function has been run for Ottawa Senateurs.
[2018-02-19 10:00:05] Auto Roster Partial Function has been run for Ottawa Senateurs.
[2018-02-19 10:00:05] Eddie Pasquale of Ottawa Senateurs was sent to pro.
[2018-02-18 21:33:56] Devan Dubnyk from Ottawa Senateurs injured (Exhaustion)
[2018-02-15 09:09:14] Auto Lines Partial Function has been run for Ottawa Senateurs.
[2018-02-15 09:09:14] Auto Roster Partial Function has been run for Ottawa Senateurs.
[2018-02-14 09:12:51] Ethan Werek from Binghampton Senateurs is back from Bruised Right Foot Injury.
[2018-02-12 17:38:45] Antoine Vermette from Ottawa Senateurs is back from Left Knee Injury.
[2018-02-12 17:38:35] Game 863 - Antoine Vermette from Ottawa Senateurs is injured (Left Knee) and is out for 3 days.
[2018-02-09 15:49:41] Game 855 - Ethan Werek from Binghampton Senateurs is injured (Bruised Right Foot) and is out for 1 week.
[2018-02-08 14:29:08] Kris Letang from Ottawa Senateurs is back from Left Hand Injury.
[2018-02-08 14:29:08] Jack Johnson from Ottawa Senateurs is back from Back Spasms Injury.
[2018-02-08 14:28:53] Milan Lucic from Ottawa Senateurs has scored a Hat Trick!
[2018-02-08 14:28:24] Auto Lines Partial Function has been run for Ottawa Senateurs.
[2018-02-08 14:28:24] Auto Roster Partial Function has been run for Ottawa Senateurs.
[2018-02-06 12:35:51] Game 824 - Kris Letang from Ottawa Senateurs is injured (Left Hand) and is out for 5 days.
[2018-02-03 14:06:02] Jay Beagle from Ottawa Senateurs is back from Bruised Right Shoulder Injury.
[2018-02-03 14:05:47] Successfully loaded Ottawa Senateurs lines done with STHS Client - 3.1.2.2
[2018-02-01 17:27:10] Joonas Korpisalo from Ottawa Senateurs is back from Exhaustion.
[2018-01-31 17:25:20] Joonas Korpisalo from Ottawa Senateurs injured (Exhaustion)
[2018-01-31 17:25:20] Kris Letang from Ottawa Senateurs completes suspension
[2018-01-31 17:25:20] Game 801 - Jay Beagle from Ottawa Senateurs is injured (Bruised Right Shoulder) and is out for 6 days.



Pas de Blessure ou de Suspension.


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
1266273100413178200-223314140021290102-12331317002018898-1063178319497035875441184457865760120195558768414372304519.57%2826078.72%11156225951.17%1134234348.40%504103548.70%157610841562486845423
Total Saison Régulière66273100413178200-223314140021290102-12331317002018898-1063178319497035875441184457865760120195558768414372304519.57%2826078.72%11156225951.17%1134234348.40%504103548.70%157610841562486845423