Washington Capitals

GP: 9 | W: 7 | L: 2 | OTL: 0 | P: 14
GF: 29 | GA: 21 | PP%: 20.69% | PK%: 72.41%
DG: Mathieu Girard | Morale : 59 | Moyenne d'Équipe : 72
Prochain matchs #126 vs Chicago Blackhawks
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
1Connor McDavid (C)X100.005637849276899193789487769163869261810
2Taylor Hall (A)XX100.006840809178856286628884658975737661760
3Logan CoutureXX100.006337867877849476747880827980736961750
4Mitchell MarnerX100.005537888669859584588674728163678961750
5Jonathan HuberdeauXX100.005940838079859579558478667771738561740
6Jordan MartinookXXX100.008340786674779565746163786473725961680
7Andrew CoglianoXXX100.006938827567739169566862746380735061680
8Jordan Greenway (R)X100.007341907098718169646871696763627261680
9Corey PerryX100.006449687385775472537571567384754349670
10Brian GibbonsXXX100.005938856663697764566766836579713461670
11Nick RitchieX100.008947646887787367537264636667668461670
12Brett RitchieX100.008855696390656662526162576371687059620
13Aaron EkbladX100.007646727490929573307674755965649161740
14Adam LarssonX100.009640786385879562307258805173677661730
15Patrik NemethX100.008048746387818762306956945173676361730
16John KlingbergX100.005937877876917977308871686373725861720
17Zach WerenskiX100.006537887782899576307873715963658761720
18Joel EdmundsonX100.008355676489857763307062815471677061710
Rayé
1Josh JoorisXX100.006336905477949553545252545377695641590
2Jon MerrillX100.007749696384837062307158765373676447680
MOYENNE D'ÉQUIPE100.00714279728182837150746872667270695971
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 Rinne96.00989492939796989796989787912259930
2Juuse Saros100.00858179688483858483858467716261780
Rayé
MOYENNE D'ÉQUIPE98.0092888681919092919092917781426086
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 CapitalsC9571262083148122410.42%518921.06123823101231152.12%23600001.2701000101
2Taylor HallWashington CapitalsC/LW9549220161238112513.16%015717.50112524000001111.11%900101.1411000201
3Mitchell MarnerWashington CapitalsRW94592000133492211.76%115917.76112421000000131.25%1600001.1300000010
4John KlingbergWashington CapitalsD9347100416132523.08%820622.93224102400005200.00%000000.6800000020
5Logan CoutureWashington CapitalsC/LW934710011192671411.54%115817.59000621000001151.78%19700000.8811000030
6Aaron EkbladWashington CapitalsD90662100311087140.00%1422124.61022325011122000.00%000000.5400000101
7Jonathan HuberdeauWashington CapitalsC/LW9325400111225102112.00%018120.12011520000000028.57%700000.5500000101
8Zach WerenskiWashington CapitalsD91346201714397.14%1018020.0301162100000000.00%000000.4400000000
9Patrik NemethWashington CapitalsD90442601296130.00%1514115.6700000011126000.00%000000.5700000000
10Adam LarssonWashington CapitalsD9123610034480512.50%917719.6900000000021000.00%000000.3400000001
11Corey PerryWashington CapitalsRW80221202263040.00%113717.2200006000000041.67%1200000.2900000000
12Brian GibbonsWashington CapitalsC/LW/RW9202200113181511.11%511412.77000000000311142.86%700000.3500000001
13Nick RitchieWashington CapitalsLW911236017283312.50%1879.7510114000040022.22%900000.4600000000
14Joel EdmundsonWashington CapitalsD90220801159560.00%1015817.63000520000021000.00%000000.2500000000
15Andrew CoglianoWashington CapitalsC/LW/RW9011000086160.00%1859.52000000000170037.86%10300000.2300000000
16Jordan GreenwayWashington CapitalsLW901132013515480.00%013615.130002140002110036.36%1100000.1500000000
17Brett RitchieWashington CapitalsRW80000401021000.00%1556.900000000000000.00%100000.0000000000
18Jordan MartinookWashington CapitalsC/LW/RW9000110016148630.00%210812.05000000001270046.94%14700000.0000000000
Stats d'équipe Total ou en Moyenne16028487642640218188288821779.72%84265716.61610165523012371936547.02%75500100.5723000566
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 Capitals97200.9152.3254421212470100.667390110
Stats d'équipe Total ou en Moyenne97200.9152.3254421212470100.667390110


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$3,181,818$NoLien
Adam LarssonWashington CapitalsD261992-11-12No208 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Andrew CoglianoWashington CapitalsC/LW/RW321987-06-14No177 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Brett RitchieWashington CapitalsRW261993-07-01No220 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Brian GibbonsWashington CapitalsC/LW/RW311988-02-26No175 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm300,000$300,000$272,727$NoLien
Connor McDavidWashington CapitalsC221997-01-13No193 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Corey PerryWashington CapitalsRW341985-05-16No206 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Joel EdmundsonWashington CapitalsD261993-06-28No215 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
John KlingbergWashington CapitalsD261992-08-14No180 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Jon MerrillWashington CapitalsD271992-02-03No205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Jonathan HuberdeauWashington CapitalsC/LW261993-06-04No200 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm4,190,000$4,190,000$3,809,091$NoLien
Jordan GreenwayWashington CapitalsLW221997-02-16Yes227 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm500,000$500,000$454,545$NoLien
Jordan MartinookWashington CapitalsC/LW/RW261992-07-25No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Josh JoorisWashington CapitalsC/RW281990-07-14No198 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$500,000$454,545$NoLien
Juuse SarosWashington CapitalsG241995-04-19No180 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Logan CoutureWashington CapitalsC/LW301989-03-28No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Mitchell MarnerWashington CapitalsRW221997-05-05No175 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Nick RitchieWashington CapitalsLW231995-12-05No234 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$900,000$818,182$NoLien
Patrik NemethWashington CapitalsD271992-02-08No219 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Pekka RinneWashington CapitalsG361982-11-03No217 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Taylor HallWashington CapitalsC/LW271991-11-14No205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Zach WerenskiWashington CapitalsD211997-07-19No209 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.59203 Lbs6 ft22.142,235,909$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,190,000$33,790,000$23,990,000$3,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan HuberdeauConnor McDavidCorey Perry40014
2Taylor HallLogan CoutureMitchell Marner30023
3Jordan GreenwayJordan MartinookBrian Gibbons20122
4Nick RitchieAndrew CoglianoBrett Ritchie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1John KlingbergAaron Ekblad40023
2Zach WerenskiAdam Larsson30122
3Patrik NemethJoel Edmundson20122
4Zach WerenskiAdam Larsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor HallConnor McDavidJordan Greenway60014
2Jonathan HuberdeauLogan CoutureMitchell Marner40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1John KlingbergAaron Ekblad60014
2Zach WerenskiJoel Edmundson40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jordan MartinookBrian Gibbons60131
2Andrew CoglianoJordan Greenway40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrik NemethAaron Ekblad60131
2Adam LarssonJoel Edmundson40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jordan Martinook60140Patrik NemethAaron Ekblad60140
2Brian Gibbons40140Adam LarssonJoel Edmundson40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Logan CoutureMitchell Marner60122
2Connor McDavidJonathan Huberdeau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1John KlingbergAaron Ekblad60122
2Zach WerenskiPatrik Nemeth40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor HallConnor McDavidMitchell MarnerJohn KlingbergAaron Ekblad
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor HallConnor McDavidMitchell MarnerJohn KlingbergAaron Ekblad
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, Patrik NemethZach WerenskiJoel Edmundson, Patrik Nemeth
Tirs de Pénalité
Connor McDavid, Taylor Hall, Logan Couture, Mitchell Marner, Jonathan Huberdeau
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
1Carolina Hurricanes11000000422110000004220000000000021.000471100130031111370268821200.00%3233.33%014431845.28%14329149.14%6813650.00%2418227126
2Colorado Avalanche10000010431100000104310000000000021.000459001112311181052574283133.33%2150.00%014431845.28%14329149.14%6813650.00%2820227147
3Dallas Stars21001000633110000002021000100043141.00061117011131511716162421916543133.33%7185.71%014431845.28%14329149.14%6813650.00%483347132411
4Nashville Predators1010000012-1000000000001010000012-100.0001230000102859140186425100.00%20100.00%014431845.28%14329149.14%6813650.00%2719206126
5New York Islanders11000000523000000000001100000052321.000581300023038151490361610207342.86%4175.00%114431845.28%14329149.14%6813650.00%2417236115
6New York Rangers11000000312110000003120000000000021.00034700210034199603281023400.00%50100.00%014431845.28%14329149.14%6813650.00%2317247115
7St. Louis Blues1010000036-3000000000001010000036-300.0003690011103271213041151018400.00%4250.00%014431845.28%14329149.14%6813650.00%2013278115
8Toronto Maple Leafs11000000321110000003210000000000021.0003580010204313181202754295120.00%2150.00%014431845.28%14329149.14%6813650.00%2821195115
Total95201010292185400001016884120100013130140.77829487701791132889899877247846621829620.69%29872.41%114431845.28%14329149.14%6813650.00%2261612086311054
_Since Last GM Reset95201010292185400001016884120100013130140.77829487701791132889899877247846621829620.69%29872.41%114431845.28%14329149.14%6813650.00%2261612086311054
_Vs Conference4400000015783300000010551100000052381.000152439004650146585434012137329318422.22%14471.43%114431845.28%14329149.14%6813650.00%1027490274724
_Vs Division330000001257220000007341100000052361.00012193100363010345362209432286413323.08%12375.00%114431845.28%14329149.14%6813650.00%735370213518

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
914W2294877288247846621801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
95210102921
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5400010168
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41210001313
Derniers 10 Matchs
WLOTWOTL SOWSOL
521010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29620.69%29872.41%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
989987779113
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
14431845.28%14329149.14%6813650.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2261612086311054


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 - 2019-09-022Washington Capitals3St. Louis Blues6LSommaire du Match
3 - 2019-09-0415Washington Capitals5New York Islanders2WSommaire du Match
4 - 2019-09-0523Carolina Hurricanes2Washington Capitals4WSommaire du Match
7 - 2019-09-0839Dallas Stars0Washington Capitals2WSommaire du Match
9 - 2019-09-1052Washington Capitals1Nashville Predators2LSommaire du Match
11 - 2019-09-1270Washington Capitals4Dallas Stars3WXSommaire du Match
13 - 2019-09-1483Colorado Avalanche3Washington Capitals4WXXSommaire du Match
15 - 2019-09-1693Toronto Maple Leafs2Washington Capitals3WSommaire du Match
17 - 2019-09-18109New York Rangers1Washington Capitals3WSommaire du Match
19 - 2019-09-20126Washington Capitals-Chicago Blackhawks-
21 - 2019-09-22142Washington Capitals-Calgary Flames-
23 - 2019-09-24154Washington Capitals-Edmonton Oilers-
24 - 2019-09-25160Washington Capitals-Vancouver Canucks-
28 - 2019-09-29180Washington Capitals-Toronto Maple Leafs-
31 - 2019-10-02198Buffalo Sabres-Washington Capitals-
33 - 2019-10-04218Calgary Flames-Washington Capitals-
37 - 2019-10-08238Washington Capitals-Florida Panthers-
39 - 2019-10-10258Vegas Golden Knights-Washington Capitals-
41 - 2019-10-12270Phoenix Coyotes-Washington Capitals-
43 - 2019-10-14283Washington Capitals-Philadelphia Flyers-
45 - 2019-10-16296Montreal Canadiens-Washington Capitals-
46 - 2019-10-17303Washington Capitals-Boston Bruins-
48 - 2019-10-19316Anaheim Ducks-Washington Capitals-
50 - 2019-10-21332Washington Capitals-New York Rangers-
53 - 2019-10-24348Vancouver Canucks-Washington Capitals-
57 - 2019-10-28383Florida Panthers-Washington Capitals-
59 - 2019-10-30398Tampa Bay Lightning-Washington Capitals-
60 - 2019-10-31407Washington Capitals-Detroit Red Wings-
63 - 2019-11-03433Washington Capitals-San Jose Sharks-
64 - 2019-11-04437Washington Capitals-Los Angeles Kings-
66 - 2019-11-06451Washington Capitals-Anaheim Ducks-
69 - 2019-11-09469Columbus Blue Jackets-Washington Capitals-
71 - 2019-11-11484Boston Bruins-Washington Capitals-
74 - 2019-11-14509Washington Capitals-Tampa Bay Lightning-
76 - 2019-11-16521Washington Capitals-Columbus Blue Jackets-
80 - 2019-11-20549Washington Capitals-New Jersey Devils-
81 - 2019-11-21559Tampa Bay Lightning-Washington Capitals-
83 - 2019-11-23571Washington Capitals-Boston Bruins-
87 - 2019-11-27585Columbus Blue Jackets-Washington Capitals-
88 - 2019-11-28598Washington Capitals-Carolina Hurricanes-
91 - 2019-12-01614New York Islanders-Washington Capitals-
94 - 2019-12-04639Washington Capitals-Carolina Hurricanes-
96 - 2019-12-06653San Jose Sharks-Washington Capitals-
98 - 2019-12-08667Ottawa Senators-Washington Capitals-
99 - 2019-12-09676Washington Capitals-Philadelphia Flyers-
102 - 2019-12-12696New Jersey Devils-Washington Capitals-
104 - 2019-12-14712Carolina Hurricanes-Washington Capitals-
107 - 2019-12-17732New Jersey Devils-Washington Capitals-
109 - 2019-12-19743Washington Capitals-New York Islanders-
118 - 2019-12-28768Washington Capitals-Montreal Canadiens-
120 - 2019-12-30777Nashville Predators-Washington Capitals-
122 - 2020-01-01787Washington Capitals-Ottawa Senators-
124 - 2020-01-03806Pittsburgh Penguins-Washington Capitals-
126 - 2020-01-05817Los Angeles Kings-Washington Capitals-
130 - 2020-01-09850Philadelphia Flyers-Washington Capitals-
132 - 2020-01-11862New York Islanders-Washington Capitals-
135 - 2020-01-14888Washington Capitals-Colorado Avalanche-
137 - 2020-01-16904Washington Capitals-Phoenix Coyotes-
139 - 2020-01-18918Washington Capitals-Vegas Golden Knights-
142 - 2020-01-21935Montreal Canadiens-Washington Capitals-
144 - 2020-01-23948Washington Capitals-New Jersey Devils-
145 - 2020-01-24959Pittsburgh Penguins-Washington Capitals-
147 - 2020-01-26973Winnipeg Jets-Washington Capitals-
149 - 2020-01-28992Washington Capitals-Winnipeg Jets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
152 - 2020-01-311014Washington Capitals-Minnesota Wild-
155 - 2020-02-031029Philadelphia Flyers-Washington Capitals-
156 - 2020-02-041036Washington Capitals-New York Rangers-
158 - 2020-02-061050Washington Capitals-Pittsburgh Penguins-
160 - 2020-02-081066Washington Capitals-Buffalo Sabres-
163 - 2020-02-111087Detroit Red Wings-Washington Capitals-
165 - 2020-02-131103Chicago Blackhawks-Washington Capitals-
167 - 2020-02-151120Edmonton Oilers-Washington Capitals-
170 - 2020-02-181141Washington Capitals-Columbus Blue Jackets-
171 - 2020-02-191147Ottawa Senators-Washington Capitals-
173 - 2020-02-211164Washington Capitals-Pittsburgh Penguins-
175 - 2020-02-231181St. Louis Blues-Washington Capitals-
177 - 2020-02-251194New York Rangers-Washington Capitals-
179 - 2020-02-271210Washington Capitals-Detroit Red Wings-
181 - 2020-02-291224Washington Capitals-Buffalo Sabres-
182 - 2020-03-011231Toronto Maple Leafs-Washington Capitals-
184 - 2020-03-031248Minnesota Wild-Washington Capitals-
186 - 2020-03-051265Washington Capitals-Florida Panthers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets25018510050500
Assistance12,00010,0004,0008,0002,000
Attendance PCT40.00%40.00%40.00%40.00%40.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 7200 - 40.00% 678,300$3,391,500$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,480,911$ 49,190,000$ 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
49,190,000$ 4,423,688$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
24,418,800$ 170 263,583$ 44,809,110$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
44,966,109$ 49,190,000$ 192,613,089$ 172,065,780$



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:67
Brian GibbonsAGE:31PO:34OV:67
Jason DickinsonAGE:24PO:77OV:66
Kyle CliffordAGE:28PO:63OV:63
*Christoffer EhnAGE:23PO:66OV:62
*Timothy GettingerAGE:21PO:56OV:60
Anton BlidhAGE:24PO:55OV:60
Dennis YanAGE:22PO:63OV:59
Jayden HalbgewachsAGE:22PO:63OV:58
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
Brian GibbonsAGE:31PO:34OV:67
Jason DickinsonAGE:24PO:77OV:66
*Christoffer EhnAGE:23PO:66OV:62
Brett SutterAGE:32PO:53OV:62
*Cooper MarodyAGE:22PO:56OV:60
Gage QuinneyAGE:23PO:63OV:59
Josh JoorisAGE:28PO:56OV:59
Reid DukeAGE:23PO:62OV:58
Mitchell MarnerAGE:22PO:89OV:75
Jordan MartinookAGE:26PO:59OV:68
Andrew CoglianoAGE:32PO:50OV:68
Corey PerryAGE:34PO:43OV:67
Brian GibbonsAGE:31PO:34OV:67
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:78
Vitek VanecekAGE:23PO:53OV:73

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.



[2019-10-15 12:20:31] Last 7 Days Farm Star : 1 - Dennis Cholowski of Comets (2-5-7) / 2 - Sami Niku of Bears (3-4-7) / 3 - Garrett Pilon of Comets (4-3-7)
[2019-10-10 07:43:06] Successfully loaded Washington Capitals lines done with STHS Client - 3.1.6.6
[2019-10-08 07:29:25] Last 7 Days Pro Star : 1 - Jonathan Quick of Pittsburgh Penguins (0,978) / 2 - Connor McDavid of Washington Capitals (4-4-8) / 3 - Michael Grabner of Minnesota Wild (5-2-7)
[2019-10-08 07:28:56] Auto Lines Partial Function has been run for Washington Capitals.
[2019-10-08 07:28:56] Auto Roster Partial Function has been run for Washington Capitals.
[2019-10-06 09:45:40] Pekka Rinne from Washington Capitals is back from Exhaustion.
[2019-10-05 12:00:34] Corey Perry from Washington Capitals is back from Right Hip Injury.
[2019-10-05 12:00:33] Pekka Rinne from Washington Capitals injured (Exhaustion)
[2019-10-05 11:55:20] Auto Lines Partial Function has been run for Washington Capitals.
[2019-10-05 11:55:20] Auto Roster Partial Function has been run for Washington Capitals.
[2019-10-04 09:11:38] Game 15 - Corey Perry from Washington Capitals is injured (Right Hip) and is out for 4 days.
[2019-09-30 18:57:27] Successfully loaded Washington Capitals lines done with STHS Client - 3.1.6.6
[2019-09-30 18:57:27] Timothy Gettinger of Washington Capitals was sent down to farm.
[2019-09-30 18:57:27] Jayden Halbgewachs of Washington Capitals was sent down to farm.
[2019-09-30 18:57:27] Cooper Marody of Washington Capitals was sent down to farm.
[2019-09-30 18:57:27] Christoffer Ehn of Washington Capitals was sent down to farm.
[2019-09-30 18:57:27] Gage Quinney of Washington Capitals was sent down to farm.
[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)



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
14952010102921854000010168841201000131301429487701791132889899877247846621829620.69%29872.41%114431845.28%14329149.14%6813650.00%2261612086311054
Total Saison Régulière952010102921854000010168841201000131301429487701791132889899877247846621829620.69%29872.41%114431845.28%14329149.14%6813650.00%2261612086311054