Washington Capitals

GP: 16 | W: 9 | L: 6 | OTL: 1 | P: 19
GF: 45 | GA: 45 | PP%: 7.14% | PK%: 73.13%
DG: Mathieu Girard | Morale : 54 | Moyenne d'Équipe : 70
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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
1Connor McDavid (C)X100.005637849276899193789487769163869258810
2Taylor Hall (A)XX100.006840809178856286628884658975737658760
3Logan CoutureXX100.006337867877849476747880827980736958750
4Jonathan HuberdeauXX100.005940838079859579558478667771738558740
5Mitchell MarnerX100.005537888669859584588674728163678958740
6Jordan MartinookXXX100.008340786674779565746163786473725958680
7Andrew CoglianoXXX100.006938827567739169566862746380735058680
8Jordan Greenway (R)X100.007341907098718169646871696763627258680
9Corey PerryX100.006449687385775472537571567384754358670
10Nick RitchieX100.008947646887787367537264636667668458660
11Brett RitchieX100.008855696390656662526162576371687058620
12Aaron EkbladX100.007646727490929573307674755965649158740
13Adam LarssonX100.009640786385879562307258805173677658730
14Patrik NemethX100.008048746387818762306956945173676358730
15John KlingbergX100.005937877876917977308871686373725858720
16Zach WerenskiX100.006537887782899576307873715963658758720
17Joel EdmundsonX100.008355676489857763307062815471677061710
18Jon MerrillX100.007749696384837062307158765373676458680
Rayé
1Brian GibbonsXXX100.005938856663697764566766836579713434660
2Christoffer Ehn (R)XX100.007037886380737262706158675665646634620
3Timothy Gettinger (R)X100.007836925896777257545655615361635634610
4Gage QuinneyX100.005436925962939058645756545967646334600
5Cooper Marody (R)X100.005336906171766960696257595665635634600
6Josh JoorisXX100.006336905477949553545252545377695634590
7Jayden HalbgewachsX100.005336915860928957535854525663626334590
MOYENNE D'ÉQUIPE100.00694181707982826852716669647069685168
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
1Pekka Rinne100.00989492939796989796989787912253930
2Juuse Saros100.00858179688483858483858467716258790
Rayé
MOYENNE D'ÉQUIPE100.0092888681919092919092917781425686
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy82938779807469CAN532100,000$


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
1Connor McDavidWashington CapitalsC1698171000236988237410.23%1242626.6601120590112723149.93%68900000.8012000401
2Logan CoutureWashington CapitalsC/LW16791662015317324449.59%732720.4702214480001301049.78%44800000.9802000140
3John KlingbergWashington CapitalsD16310137201121691718.75%2233621.05112847000048010.00%000000.7700000001
4Jonathan HuberdeauWashington CapitalsC/LW167613760133064174610.94%133220.7701111480001302043.75%3200000.7802000202
5Mitchell MarnerWashington CapitalsRW166511100072244113713.64%530419.05011859000000246.67%3000000.7201000101
6Taylor HallWashington CapitalsC/LW162810106033246320563.17%141225.7910117591011660033.33%3900000.4802000012
7Aaron EkbladWashington CapitalsD16369810020143113279.68%1542226.381011559000054100.00%000000.4300000001
8Patrik NemethWashington CapitalsD16257710041263815175.26%3133320.871122247000046000.00%000000.4200000000
9Adam LarssonWashington CapitalsD1605563004512177210.00%3437723.59000460011044000.00%000000.2600000000
10Jordan GreenwayWashington CapitalsLW16235-320410385285.26%420712.9700000000000038.46%1300000.4800000001
11Zach WerenskiWashington CapitalsD16044-240558640.00%919412.170000100000000.00%000000.4100000000
12Corey PerryWashington CapitalsRW1612361403912235174.35%029418.40000648000000027.78%1800000.2011000001
13Joel EdmundsonWashington CapitalsD16123-1255321680612.50%1621813.6700000000022100.00%000000.2700100000
14Andrew CoglianoWashington CapitalsC/LW/RW16022-3204213310260.00%321713.59000000000100036.02%23600000.1800000000
15Brett RitchieWashington CapitalsRW16101-320041447825.00%020612.9300000000000033.33%900000.1000000000
16Jon MerrillWashington CapitalsD16011240330120.00%3483.040000000003000.00%000000.4100000000
17Jordan MartinookWashington CapitalsC/LW/RW160110401002120.00%1372.3500000000000075.00%400000.5300000000
18Nick RitchieWashington CapitalsLW16000000101000.00%0140.910000100004000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne28844771216714153373115511744327.99%164471416.37471112554312354368446.64%152000000.512101008510
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
1Pekka RinneWashington Capitals169610.9232.7793061435580010.80010160230
2Juuse SarosWashington Capitals10001.0000.0040000260000.0000016000
Stats d'équipe Total ou en Moyenne179610.9262.6697161435840010.800101616230


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
Aaron EkbladWashington CapitalsD231996-02-07No220 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Adam LarssonWashington CapitalsD261992-11-12No208 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Andrew CoglianoWashington CapitalsC/LW/RW321987-06-14No177 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Brett RitchieWashington CapitalsRW261993-07-01No220 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Brian GibbonsWashington CapitalsC/LW/RW311988-02-26No175 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm300,000$300,000$300,000$NoLien
Christoffer EhnWashington CapitalsC/LW231996-04-05Yes181 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Connor McDavidWashington CapitalsC221997-01-13No193 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Cooper MarodyWashington CapitalsC221996-12-20Yes184 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$300,000$NoLien
Corey PerryWashington CapitalsRW341985-05-16No206 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Gage QuinneyWashington CapitalsC231995-07-29No200 Lbs5 ft1NoNoNo4Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Jayden HalbgewachsWashington CapitalsLW221997-03-22No160 Lbs5 ft8NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$300,000$NoLien
Joel EdmundsonWashington CapitalsD261993-06-28No215 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
John KlingbergWashington CapitalsD261992-08-14No180 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Jon MerrillWashington CapitalsD271992-02-03No205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Jonathan HuberdeauWashington CapitalsC/LW261993-06-04No200 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm4,190,000$4,190,000$4,190,000$NoLien
Jordan GreenwayWashington CapitalsLW221997-02-16Yes227 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Jordan MartinookWashington CapitalsC/LW/RW261992-07-25No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Josh JoorisWashington CapitalsC/RW281990-07-14No198 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Juuse SarosWashington CapitalsG241995-04-19No180 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Logan CoutureWashington CapitalsC/LW301989-03-28No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Mitchell MarnerWashington CapitalsRW221997-05-05No175 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Nick RitchieWashington CapitalsLW231995-12-05No234 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Patrik NemethWashington CapitalsD271992-02-08No219 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Pekka RinneWashington CapitalsG361982-11-03No217 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Taylor HallWashington CapitalsC/LW271991-11-14No205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Timothy GettingerWashington CapitalsLW211998-04-14Yes220 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$300,000$NoLien
Zach WerenskiWashington CapitalsD211997-07-19No209 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2725.78200 Lbs6 ft12.481,884,815$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
50,890,000$35,490,000$25,690,000$4,700,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor HallConnor McDavidMitchell Marner40122
2Jonathan HuberdeauLogan CoutureCorey Perry30122
3Jordan GreenwayAndrew CoglianoBrett Ritchie20122
4Jordan MartinookConnor McDavidTaylor Hall10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron EkbladAdam Larsson40122
2Patrik NemethJohn Klingberg30122
3Zach WerenskiJoel Edmundson20122
4Jon MerrillAaron Ekblad10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor HallConnor McDavidMitchell Marner60122
2Jonathan HuberdeauLogan CoutureCorey Perry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron EkbladAdam Larsson60122
2Patrik NemethJohn Klingberg40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Connor McDavidTaylor Hall60122
2Logan CoutureJonathan Huberdeau40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron EkbladAdam Larsson60122
2Patrik NemethJohn Klingberg40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Connor McDavid60122Aaron EkbladAdam Larsson60122
2Taylor Hall40122Patrik NemethJohn Klingberg40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Connor McDavidTaylor Hall60122
2Logan CoutureJonathan Huberdeau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron EkbladAdam Larsson60122
2Patrik NemethJohn Klingberg40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor HallConnor McDavidMitchell MarnerAaron EkbladAdam Larsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor HallConnor McDavidMitchell MarnerAaron EkbladAdam Larsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nick Ritchie, Jordan Greenway, Andrew CoglianoNick Ritchie, Jordan GreenwayAndrew Cogliano
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zach Werenski, Joel Edmundson, Jon MerrillZach WerenskiJoel Edmundson, Jon Merrill
Tirs de Pénalité
Connor McDavid, Taylor Hall, Logan Couture, Jonathan Huberdeau, Mitchell Marner
Gardien
#1 : Pekka Rinne, #2 : Juuse Saros


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
1Boston Bruins2110000045-11010000013-21100000032120.500481210040056132221082291635900.00%7357.14%127560745.30%31163748.82%12325049.20%473347142512
2Buffalo Sabres22000000954110000004221100000053241.00091524005400612620150762010498112.50%50100.00%027560745.30%31163748.82%12325049.20%443148142612
3Detroit Red Wings201010007701010000034-11000100043120.50071421003301733321181601414466233.33%7442.86%027560745.30%31163748.82%12325049.20%513545152512
4Florida Panthers2020000036-31010000013-21010000023-100.00035800120079303415077172233600.00%9277.78%027560745.30%31163748.82%12325049.20%503643142513
5Montreal Canadiens21100000660110000004221010000024-220.500691500231066202620071152439500.00%11372.73%027560745.30%31163748.82%12325049.20%463145152814
6Ottawa Senators2110000035-2110000002111010000014-320.500347001020732621260591814411417.14%7357.14%027560745.30%31163748.82%12325049.20%483345162512
7Tampa Bay Lightning210000019901000000145-11100000054130.7509162500342072212323980262448300.00%12375.00%027560745.30%31163748.82%12325049.20%473451142511
8Toronto Maple Leafs21000010422100000103211100000010141.000461001012271211930780252346500.00%90100.00%027560745.30%31163748.82%12325049.20%473250152613
Total1676010114545083300011222208430100023230190.594457712211152173551190186168175851641473375647.14%671873.13%127560745.30%31163748.82%12325049.20%384268378120209102
_Since Last GM Reset1676010114545083300011222208430100023230190.594457712211152173551190186168175851641473375647.14%671873.13%127560745.30%31163748.82%12325049.20%384268378120209102
_Vs Conference1676010114545083300011222208430100023230190.594457712211152173551190186168175851641473375647.14%671873.13%127560745.30%31163748.82%12325049.20%384268378120209102

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1619W4457712255158516414733711
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
167610114545
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83300112222
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
84310002323
Derniers 10 Matchs
WLOTWOTL SOWSOL
441010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5647.14%671873.13%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
19018616817152173
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
27560745.30%31163748.82%12325049.20%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
384268378120209102


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-09-026Washington Capitals1Toronto Maple Leafs0WSommaire du Match
2 - 2019-09-0322Florida Panthers3Washington Capitals1LSommaire du Match
4 - 2019-09-0532Washington Capitals3Boston Bruins2WSommaire du Match
6 - 2019-09-0752Ottawa Senators1Washington Capitals2WSommaire du Match
7 - 2019-09-0870Washington Capitals1Ottawa Senators4LSommaire du Match
8 - 2019-09-0980Tampa Bay Lightning5Washington Capitals4LXXSommaire du Match
10 - 2019-09-11102Washington Capitals2Florida Panthers3LSommaire du Match
11 - 2019-09-12113Detroit Red Wings4Washington Capitals3LSommaire du Match
14 - 2019-09-15135Washington Capitals2Montreal Canadiens4LSommaire du Match
15 - 2019-09-16146Boston Bruins3Washington Capitals1LSommaire du Match
16 - 2019-09-17163Toronto Maple Leafs2Washington Capitals3WXXSommaire du Match
18 - 2019-09-19182Washington Capitals4Detroit Red Wings3WXSommaire du Match
19 - 2019-09-20200Buffalo Sabres2Washington Capitals4WSommaire du Match
20 - 2019-09-21210Washington Capitals5Tampa Bay Lightning4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24228Montreal Canadiens2Washington Capitals4WSommaire du Match
24 - 2019-09-25230Washington Capitals5Buffalo Sabres3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets25018510050500
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 50,890,000$ 17,727,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 27 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 193,717,579$ 193,717,579$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Taylor HallAGE:27PO:76OV:76
Logan CoutureAGE:30PO:69OV:75
Jonathan HuberdeauAGE:26PO:85OV:74
*Jordan GreenwayAGE:22PO:72OV:68
Jordan MartinookAGE:26PO:59OV:68
Andrew CoglianoAGE:32PO:50OV:68
Nick RitchieAGE:23PO:84OV:66
Jason DickinsonAGE:24PO:77OV:66
Brian GibbonsAGE:31PO:34OV:66
Kyle CliffordAGE:28PO:63OV:63
*Christoffer EhnAGE:23PO:66OV:62
*Timothy GettingerAGE:21PO:56OV:61
Anton BlidhAGE:24PO:55OV:60
Dennis YanAGE:22PO:63OV:59
Jayden HalbgewachsAGE:22PO:63OV:59
Rich CluneAGE:32PO:48OV:56
Connor McDavidAGE:22PO:92OV:81
Taylor HallAGE:27PO:76OV:76
Logan CoutureAGE:30PO:69OV:75
Jonathan HuberdeauAGE:26PO:85OV:74
Jordan MartinookAGE:26PO:59OV:68
Andrew CoglianoAGE:32PO:50OV:68
Jason DickinsonAGE:24PO:77OV:66
Brian GibbonsAGE:31PO:34OV:66
*Christoffer EhnAGE:23PO:66OV:62
Brett SutterAGE:32PO:53OV:62
Gage QuinneyAGE:23PO:63OV:60
*Cooper MarodyAGE:22PO:56OV:60
Josh JoorisAGE:28PO:56OV:59
Reid DukeAGE:23PO:62OV:58
Mitchell MarnerAGE:22PO:89OV:74
Jordan MartinookAGE:26PO:59OV:68
Andrew CoglianoAGE:32PO:50OV:68
Corey PerryAGE:34PO:43OV:67
Brian GibbonsAGE:31PO:34OV:66
Paul ThompsonAGE:30PO:54OV:63
Brett RitchieAGE:26PO:70OV:62
Josh JoorisAGE:28PO:56OV:59

Défense #1Défense #2Gardien
Aaron EkbladAGE:23PO:91OV:74
Adam LarssonAGE:26PO:76OV:73
Patrik NemethAGE:27PO:63OV:73
Zach WerenskiAGE:21PO:87OV:72
John KlingbergAGE:26PO:58OV:72
Joel EdmundsonAGE:26PO:70OV:71
Jon MerrillAGE:27PO:64OV:68
Kyle WoodAGE:23PO:62OV:66
Sami NikuAGE:22PO:56OV:62
Michael KaplaAGE:24PO:60OV:61
Trevor MurphyAGE:23PO:61OV:60
Pekka RinneAGE:36PO:22OV:93
Juuse SarosAGE:24PO:62OV:79
Vitek VanecekAGE:23PO:53OV:72

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
Anatoli GolyshevWashington Capitals1284
Andrei MironovWashington Capitals
Anthony CamaraWashington Capitals
Curtis DouglasWashington Capitals14149
Giovanni VallatiWashington Capitals14109
Ivan LodniaWashington Capitals1371
J.D GreenwayWashington Capitals1291
Julius VahataloWashington Capitals10172
Karlis CuksteWashington Capitals11152
Klas DahlbeckWashington Capitals
Kristers GudlevskisWashington Capitals
Liam KirkWashington Capitals14128
Luke MartinWashington Capitals13103
Marcus KarlbergWashington Capitals14108
Mathias FromWashington Capitals12154
Mitch MarnerWashington Capitals
Patrik VirtaWashington Capitals13118
Pavel KraskovskyWashington Capitals10121
Scottie UpshallWashington Capitals
Simon DespresWashington Capitals
Tanner GlassWashington Capitals
Tomas PlekanecWashington Capitals

Choix au Repêchage

Année R1R2R3R4R5R6
15Was Was PHX STL MTL Dal Was Bos Was
16Was Was Was PHX Was MTL Was Col PHX Tam STL Min Flo
17Was Was Was Was Was Was
18Was Was Was Was Was Was
19Was Was Was Was Was Was



[2019-08-24 10:06:42] - Gage Quinney was added to Washington Capitals.
[2019-08-10 15:06:59] - Jayden Halbgewachs was added to Washington Capitals.
[2019-08-08 10:33:22] - Bears hired Jay Leach for 100 000 $ for 4 year(s).
[2019-08-08 10:33:14] - Bears fired Bob Hartley.
[2019-07-24 16:27:49] - TRADE : From Washington Capitals to Montreal Canadiens : Y:14-RND:6-Was.
[2019-07-24 16:27:49] - TRADE : From Montreal Canadiens to Washington Capitals : Y:16-RND:6-MTL.
[2019-07-16 09:09:24] - Washington Capitals drafts Curtis Douglas as the #149 overall pick in the Entry Draft of year 14.
[2019-07-08 07:52:02] - Washington Capitals drafts Liam Kirk as the #128 overall pick in the Entry Draft of year 14.
[2019-06-29 11:02:17] - Washington Capitals drafts Giovanni Vallati as the #109 overall pick in the Entry Draft of year 14.
[2019-06-29 11:02:10] - Washington Capitals drafts Marcus Karlberg as the #108 overall pick in the Entry Draft of year 14.
[2019-06-20 16:42:32] - Mitchell Marner was added to Washington Capitals.
[2019-06-20 15:03:27] - Timothy Gettinger was added to Washington Capitals.



[2019-09-12 07:52:25] Last 7 Days Pro Star : 1 - Jamie Benn of Tampa Bay Lightning (4-6-10) / 2 - Pekka Rinne of Washington Capitals (0,942) / 3 - Charlie McAvoy of Tampa Bay Lightning (3-3-6)
[2019-08-24 10:06:42] Gage Quinney was added to Washington Capitals.
[2019-08-10 15:06:59] Jayden Halbgewachs was added to Washington Capitals.
[2019-08-08 10:33:22] Bears hired Jay Leach for 100 000 $ for 4 year(s).
[2019-08-08 10:33:14] Bears fired Bob Hartley.
[2019-07-29 23:43:01] Auto Lines Function has been run for Washington Capitals.
[2019-07-29 23:42:58] Auto Roster Partial Function has been run for Washington Capitals.
[2019-07-29 23:42:57] Washington Capitals roster errors : Not enough Centers available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 6 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Players available in Pro Team! 10 Dressed. 18 Required. Some errors will be automatically fixed.



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