Connexion

Capitals
GP: 82 | W: 41 | L: 33 | OTL: 8 | P: 90
GF: 263 | GA: 275 | PP%: 16.15% | PK%: 76.49%
DG: Pierre-Marc Brochu | Morale : 58 | Moyenne d’équipe : 68
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Centre de jeu
Capitals
41-33-8, 90pts
1
FINAL
4 Flyers
35-43-4, 74pts
Team Stats
W1StreakL1
19-19-3Home Record17-23-1
22-14-5Away Record18-20-3
5-5-0Last 10 Games4-6-0
3.21Buts par match 3.27
3.35Buts contre par match 3.28
16.15%Pourcentage en avantage numérique24.25%
76.49%Pourcentage en désavantage numérique80.32%
Capitals
41-33-8, 90pts
3
FINAL
1 Maple Leafs
41-29-12, 94pts
Team Stats
W1StreakW1
19-19-3Home Record22-15-4
22-14-5Away Record19-14-8
5-5-0Last 10 Games4-5-1
3.21Buts par match 3.15
3.35Buts contre par match 3.30
16.15%Pourcentage en avantage numérique18.63%
76.49%Pourcentage en désavantage numérique79.80%
Meneurs d'équipe
Buts
Stefan Noesen
56
Passes
Dominik Simon
53
Points
Stefan Noesen
81
Plus/Moins
Rasmus Andersson
14
Victoires
Elvis Merzlikins
28
Pourcentage d’arrêts
Elvis Merzlikins
0.9

Statistiques d’équipe
Buts pour
263
3.21 GFG
Tirs pour
2777
33.87 Avg
Pourcentage en avantage numérique
16.2%
42 GF
Début de zone offensive
38.4%
Buts contre
275
3.35 GAA
Tirs contre
2705
32.99 Avg
Pourcentage en désavantage numérique
76.5%
63 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralPierre-Marc Brochu
EntraîneurBruce Boudreau
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,311
Billets de saison1,800


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 60
Espoirs32


Historique d'équipe

Saison actuelle41-33-8 (90PTS)
Historique163-136-29 (0.497%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


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 SPÂgeContratSalaire
1Stefan Noesen (R)X100.0082417668758289816778757454786074697202921,500,000$
2Dominik Simon (R)X100.007034937072758479668074746973685365710271600,000$
3Filip Chytil (R)X100.005435947882828075786871677664678176690223900,000$
4Warren Foegele (R)X100.007852866980829167616968766870676376690263900,000$
5Rudolfs Balcers (R)X100.008335917273848771666968646968675352680251925,000$
6Colin Blackwell (R)X100.007836897169808367726966726876704465680292575,000$
7Oliver Wahlstrom (R)X100.007939857182767973596772587462648477670212925,000$
8Ross Colton (R)X100.007843836773838570776474616871675376670253850,000$
9Michael Sgarbossa (R)X100.006135946871787966756664696578743570660291600,000$
10Mikhail Maltsev (R)X100.006535957084828466636467577066646076650243809,167$
11Anton Blidh (R)X100.008637896571777462576164636571685321630273575,000$
12Zack MacEwen (R)X100.008682656184748162646061586370663377630252825,000$
13Scott Harrington (R)X100.0075486666787286783080819053625863697302922,000,000$
14Mark Barberio (R)X100.006041846276787389308380915978683568730322900,000$
15Rasmus Andersson (R)X100.006638777180899374307464655370666772690252600,000$
16Ilya Lyubushkin (R)X100.009947786476767969307052714975694128680281925,000$
17Logan Stanley (R)X100.007986716099878558306156624866648173660233900,000$
18Cale Fleury (R)X100.006738936476817766306358685366656373650232771,666$
Rayé
1Brendan Leipsic (R)X79.976534867371757976708171776663605659700271600,000$
2Blake Pietila (R)X100.005332706873485972546865715459575218620291575,000$
3Martin Kaut (R)X100.006439866578807564586263576563628418620222894,167$
4Jonah Gadjovich (R)X100.005842856282677064565863616265637019610233783,333$
5Brandon Gignac (R)X100.004328737068425063774946645054546219540241925,000$
6Andreas Borgman (R)X100.006843826175857863306561695372675056660263600,000$
7Tyler Lewington (R)X100.007364525980777161306257684973673419640273750,000$
8Kyle Capobianco (R)X100.007137896677767263306459585267646617630243575,000$
9Igor Ozhiganov (R)X100.006532786376696662306158696058573319620291925,000$
MOYENNE D’ÉQUIPE99.22714382677776786953676568616865575366
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 SPÂgeContratSalaire
1Elvis Merzlikins (R)99.00919584819098969595918975796174880282874,125$
2Joni Ortio (R)99.007877717575939495957776858159768203131,250,000$
Rayé
1Michael Dipietro (R)100.00796866777579818079797562666720740221825,833$
MOYENNE D’ÉQUIPE99.3383807478809090909082807475625781
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau96968398999990CAN6623,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Stefan NoesenCapitals (WAS)RW785625811068101791373157817417.78%40165121.17145194622721381968546.86%4785626020.98311011763
2Dominik SimonCapitals (WAS)C7821537421410144191261841698.05%52167221.44314173022501172234046.35%19743926000.88210011465
3Filip ChytilCapitals (WAS)C823340730958019227610419811.96%37154818.884812271880002834348.18%15655924000.9403001920
4Oliver WahlstromCapitals (WAS)RW82202949629510974207541289.66%25101812.42000015000001248.65%373117000.9601100351
5Brendan LeipsicCapitals (WAS)LW481434484120958714140839.93%3194519.713811141450001682146.15%912617011.0114000244
6Mark BarberioCapitals (WAS)D78537421042108615416694913.01%107184223.624610262450116224000.00%04849000.4600101011
7Ross ColtonCapitals (WAS)C8213294211235120108149561008.72%17105512.870001100003471149.79%7171918000.8000100014
8Colin BlackwellCapitals (WAS)LW78182139216012394182571229.89%24138417.7563918191000142352.94%1192729000.5600000422
9Scott HarringtonCapitals (WAS)D63730371901016113010052517.00%72149423.722810132161124169200.00%04055000.5000101013
10Warren FoegeleCapitals (WAS)RW82191736-1315141113211711099.00%30154218.82538191870004721145.00%1003316000.4713001113
11Rudolfs BalcersCapitals (WAS)LW68171532-810010086191541088.90%26102515.090009600001524153.33%603313000.6200000123
12Mikhail MaltsevCapitals (WAS)LW8214163013554461104266113.46%1183810.23112227000033031.58%38249000.7211001042
13Rasmus AnderssonCapitals (WAS)D82125261499151211139841431.02%87177921.7002241790002153100.00%04244000.2900012020
14Michael SgarbossaCapitals (WAS)C7771118-900336710427576.73%166478.40000010000610051.60%2191610000.5600000000
15Andreas BorgmanCapitals (WAS)D700141410140721006322240.00%68146120.8801131340001121000.00%01051000.1900000001
16Logan StanleyCapitals (WAS)D8221214-99725120884021205.00%62135016.46000033000040100.00%0432000.2100221001
17Anton BlidhCapitals (WAS)LW435510000423235112514.29%63838.92000010000140150.00%1454000.5200000000
18Cale FleuryCapitals (WAS)D77077-92051795020250.00%90120215.6100006000067000.00%0636000.1200000000
19Zack MacEwenCapitals (WAS)RW81314-937571224012207.50%45606.9200002000000063.64%1177000.1400001000
20Blake PietilaCapitals (WAS)C111120005493711.11%1706.3701102000040033.33%2150000.5700000000
21Jonah GadjovichCapitals (WAS)LW13011-420245420.00%0745.7600000000000016.67%621000.2700000000
22Ilya LyubushkinCapitals (WAS)D18000-83715372014910.00%2338321.32000141000036000.00%059000.0000201000
23Brandon GignacCapitals (WAS)LW1000000000000.00%000.780000000000000.00%000000.0000000000
24Kyle CapobiancoCapitals (WAS)D5000000400000.00%5377.500000000002000.00%000000.0000000000
25Igor OzhiganovCapitals (WAS)D4000020011000.00%0164.020000000000000.00%001000.0000000000
26Martin KautCapitals (WAS)RW6000-100001100.00%0193.290000000000000.00%000000.0000000000
27Tyler LewingtonCapitals (WAS)D22000-1140332714870.00%2334315.6300000000118000.00%0012000.0000000000
Statistiques d’équipe totales ou en moyenne14932564236792465312519731984277794916259.22%8572435116.3142601022132144347411667341847.65%5450537506030.568338512313733
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
1Elvis MerzlikinsCapitals (WAS)62282650.9003.263517411911918778520.864226121544
2Joni OrtioCapitals (WAS)2813730.8993.2414612079785344201.000102161202
Statistiques d’équipe totales ou en moyenne90413380.9003.2549796127027031122720.906328282746


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 Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Andreas BorgmanCapitals (WAS)D261995-06-18 04:45:15Yes212 Lbs6 ft0NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Anton BlidhCapitals (WAS)LW271995-03-14 09:14:08Yes201 Lbs6 ft0NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Blake PietilaCapitals (WAS)C291993-02-20 11:11:13Yes200 Lbs5 ft11NoNoNo1Pro & Farm575,000$3,010$0$0$No
Brandon GignacCapitals (WAS)LW241997-11-07 10:52:40Yes170 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,843$0$0$No
Brendan Leipsic (sur la masse salariale)Capitals (WAS)LW271994-05-19 17:11:13Yes182 Lbs5 ft10NoNoNo1Pro & Farm600,000$3,141$0$0$No
Cale FleuryCapitals (WAS)D231998-11-19 12:37:15Yes203 Lbs6 ft1NoNoNo2Pro & Farm771,666$4,040$0$0$No771,666$
Colin BlackwellCapitals (WAS)LW291993-03-28 04:26:00Yes190 Lbs5 ft9NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Dominik SimonCapitals (WAS)C271994-08-08 07:29:33Yes190 Lbs5 ft11NoNoNo1Pro & Farm600,000$3,141$0$0$No
Elvis MerzlikinsCapitals (WAS)G281994-04-13 12:39:50Yes192 Lbs6 ft3NoNoNo2Pro & Farm874,125$4,577$0$0$No874,125$
Filip ChytilCapitals (WAS)C221999-09-05 13:13:19Yes208 Lbs6 ft2NoNoNo3Pro & Farm900,000$4,712$0$0$No900,000$900,000$
Igor OzhiganovCapitals (WAS)D291992-10-13 03:56:02Yes210 Lbs6 ft2NoNoNo1Pro & Farm925,000$4,843$0$0$No
Ilya LyubushkinCapitals (WAS)D281994-04-06 08:31:32Yes201 Lbs6 ft2NoNoNo1Pro & Farm925,000$4,843$0$0$No
Jonah GadjovichCapitals (WAS)LW231998-10-12 13:05:14Yes209 Lbs6 ft2NoNoNo3Pro & Farm783,333$4,101$0$0$No783,333$783,333$
Joni OrtioCapitals (WAS)G311991-04-16 23:11:14Yes187 Lbs6 ft1NoNoNo3Pro & Farm1,250,000$6,545$0$0$No1,250,000$1,250,000$
Kyle CapobiancoCapitals (WAS)D241997-08-13 13:18:25Yes196 Lbs6 ft1NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Logan StanleyCapitals (WAS)D231998-05-26 13:08:32Yes231 Lbs6 ft7NoNoNo3Pro & Farm900,000$4,712$0$0$No900,000$900,000$
Mark BarberioCapitals (WAS)D321990-03-23 17:11:13Yes207 Lbs6 ft1NoNoNo2Pro & Farm900,000$4,712$0$0$No900,000$
Martin KautCapitals (WAS)RW221999-10-02 12:42:37Yes190 Lbs6 ft2NoNoNo2Pro & Farm894,167$4,682$0$0$No894,167$
Michael DipietroCapitals (WAS)G221999-06-09 10:49:43Yes200 Lbs6 ft0NoNoNo1Pro & Farm825,833$4,324$0$0$No
Michael SgarbossaCapitals (WAS)C291992-07-25 05:11:13Yes180 Lbs5 ft11NoNoNo1Pro & Farm600,000$3,141$0$0$No
Mikhail MaltsevCapitals (WAS)LW241998-03-12 13:12:49Yes220 Lbs6 ft3NoNoNo3Pro & Farm809,167$4,236$0$0$No809,167$809,167$
Oliver WahlstromCapitals (WAS)RW212000-06-13 12:45:28Yes205 Lbs6 ft2NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Rasmus AnderssonCapitals (WAS)D251996-10-27 08:36:44Yes214 Lbs6 ft1NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Ross ColtonCapitals (WAS)C251996-09-11 13:16:11Yes209 Lbs6 ft0NoNoNo3Pro & Farm850,000$4,450$0$0$No850,000$850,000$
Rudolfs BalcersCapitals (WAS)LW251997-04-08 04:53:30Yes175 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,843$0$0$No
Scott HarringtonCapitals (WAS)D291993-03-10 11:11:13Yes207 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$10,471$0$0$No2,000,000$
Stefan NoesenCapitals (WAS)RW291993-02-12 11:11:13Yes205 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$7,853$0$0$No1,500,000$
Tyler LewingtonCapitals (WAS)D271994-12-05 12:50:41Yes201 Lbs6 ft2NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Warren FoegeleCapitals (WAS)RW261996-04-01 13:15:49Yes198 Lbs6 ft2NoNoNo3Pro & Farm900,000$4,712$0$0$No900,000$900,000$
Zack MacEwenCapitals (WAS)RW251996-07-08 04:15:59Yes205 Lbs6 ft3NoNoNo2Pro & Farm825,000$4,319$0$0$No825,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.03200 Lbs6 ft12.07855,276$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colin BlackwellDominik SimonStefan Noesen35122
2Rudolfs BalcersFilip ChytilWarren Foegele35122
3Mikhail MaltsevRoss ColtonOliver Wahlstrom25122
4Anton BlidhMichael SgarbossaZack MacEwen5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonMark Barberio35122
2Rasmus AnderssonIlya Lyubushkin35122
3Logan StanleyCale Fleury30122
4Scott HarringtonMark Barberio0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colin BlackwellDominik SimonStefan Noesen60122
2Rudolfs BalcersFilip ChytilWarren Foegele40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonMark Barberio60122
2Rasmus AnderssonIlya Lyubushkin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenDominik Simon60122
2Filip ChytilWarren Foegele40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonMark Barberio60122
2Rasmus AnderssonIlya Lyubushkin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stefan Noesen60122Scott HarringtonMark Barberio60122
2Dominik Simon40122Rasmus AnderssonIlya Lyubushkin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenDominik Simon60122
2Filip ChytilWarren Foegele40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonMark Barberio60122
2Rasmus AnderssonIlya Lyubushkin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colin BlackwellDominik SimonStefan NoesenScott HarringtonMark Barberio
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colin BlackwellDominik SimonStefan NoesenScott HarringtonMark Barberio
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Wahlstrom, Ross Colton, Michael SgarbossaOliver Wahlstrom, Ross ColtonMichael Sgarbossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Stanley, Cale Fleury, Rasmus AnderssonLogan StanleyCale Fleury, Rasmus Andersson
Tirs de pénalité
Stefan Noesen, Dominik Simon, Filip Chytil, Warren Foegele, Colin Blackwell
Gardien
#1 : Joni Ortio, #2 : Elvis Merzlikins
Lignes d’attaque personnalisées en prolongation
Stefan Noesen, Dominik Simon, Filip Chytil, Warren Foegele, Colin Blackwell, Rudolfs Balcers, Rudolfs Balcers, Oliver Wahlstrom, Ross Colton, Michael Sgarbossa, Mikhail Maltsev
Lignes de défense personnalisées en prolongation
Scott Harrington, Mark Barberio, Rasmus Andersson, Ilya Lyubushkin, Logan Stanley


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
TotalDomicileVisiteur
# 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
1Avalanche220000001073110000008621100000021141.0001017270078957813769169798536175198474125.00%4175.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
2Blackhawks2020000025-31010000013-21010000012-100.0002241078957813719169798536176251046000.00%5180.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
3Blues21000010752100000103211100000043141.00071017007895781384916979853616420450400.00%20100.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
4Bruins521010101916320001010532321000001413180.800193251007895781317791697985361155531411416531.25%7271.43%01011206648.94%992209147.44%594122648.45%1738101118227481423699
5Canadiens411001011012-22010000158-32100010054140.50010162600789578131279169798536113934271051000.00%11554.55%01011206648.94%992209147.44%594122648.45%1738101118227481423699
6Canucks30300000815-71010000024-220200000611-500.0008122000789578131009169798536111747476300.00%2150.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
7Devils622001011922-3311001001013-33110000199060.500193049007895781319391697985361181577014232618.75%25676.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
8Ducks211000006511010000013-21100000052320.5006814007895781369916979853615914851200.00%4175.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
9Flames2010001045-11010000013-21000001032120.500459007895781356916979853617523843300.00%40100.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
10Flyers733000102126-5412000101418-43210000078-180.571213253007895781325991697985361237647018531412.90%351362.86%01011206648.94%992209147.44%594122648.45%1738101118227481423699
11Islanders64200000292183300000018810312000001113-280.6672949780078957813188916979853612026811315227725.93%39684.62%11011206648.94%992209147.44%594122648.45%1738101118227481423699
12Kings2020000026-41010000012-11010000014-300.000246007895781366916979853616021832000.00%40100.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
13Maple Leafs412010001012-22010100058-32110000054140.50010152500789578131419169798536112236267114214.29%13192.31%01011206648.94%992209147.44%594122648.45%1738101118227481423699
14Oilers20200000311-81010000014-31010000027-500.000369007895781360916979853617821443100.00%20100.00%01011206648.94%992209147.44%594122648.45%1738101118227481423699
15Penguins7310102031238421000102318531001010853120.857315182007895781325191697985361214776720131619.35%31970.97%11011206648.94%992209147.44%594122648.45%1738101118227481423699
16Predators20101000510-51010000017-61000100043120.500571200789578135591697985361783319385240.00%7271.43%01011206648.94%992209147.44%594122648.45%1738101118227481423699
17Rangers622001011218-631200000510-53100010178-160.500122032007895781319291697985361185609416525312.00%27485.19%01011206648.94%992209147.44%594122648.45%1738101118227481423699
18Red Wings431000001798211000009722200000082660.75017254201789578131469169798536113642208117211.76%11190.91%01011206648.94%992209147.44%594122648.45%1738101118227481423699
19Sabres4310000018992200000010462110000085360.75018304800789578131359169798536113045328113215.38%11190.91%01011206648.94%992209147.44%594122648.45%1738101118227481423699
20Senateurs41300000913-42020000028-62110000075220.2509142300789578131329169798536112726238815213.33%9366.67%01011206648.94%992209147.44%594122648.45%1738101118227481423699
21Sharks2010010058-31010000024-21000010034-110.25051015007895781376916979853616632653000.00%3166.67%01011206648.94%992209147.44%594122648.45%1738101118227481423699
22Stars2010100067-1100010005411010000013-220.500611171078957813669169798536165201455500.00%7271.43%01011206648.94%992209147.44%594122648.45%1738101118227481423699
23Wild20000110101001000010045-11000001065130.7501017270078957813579169798536164201054200.00%5340.00%11011206648.94%992209147.44%594122648.45%1738101118227481423699
Total82293305573263275-1241121903241136152-16411714023321271234900.5492634236862178957813277791697985361270585765919732604216.15%2686376.49%31011206648.94%992209147.44%594122648.45%1738101118227481423699
_Since Last GM Reset82293305573263275-1241121903241136152-16411714023321271234900.5492634236862178957813277791697985361270585765919732604216.15%2686376.49%31011206648.94%992209147.44%594122648.45%1738101118227481423699
_Vs Conference57251903343195181142911110213110610512814801212897613700.6141953145090178957813194191697985361182856255613852313916.88%2195176.71%21011206648.94%992209147.44%594122648.45%1738101118227481423699
_Vs Division321410012321121102178600120706731564011124243-1400.625112182294007895781310839169798536110193264148451462617.81%1573875.80%21011206648.94%992209147.44%594122648.45%1738101118227481423699

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W126342368627772705857659197321
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8229335573263275
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112193241136152
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117142332127123
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2604216.15%2686376.49%3
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
9169798536178957813
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
1011206648.94%992209147.44%594122648.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1738101118227481423699


Derniers matchs 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
2 - 2021-10-167Penguins8Capitals5BLR5Sommaire du match
6 - 2021-10-2025Flyers7Capitals2BLSommaire du match
8 - 2021-10-2235Capitals7Sabres2AWSommaire du match
10 - 2021-10-2446Capitals2Rangers3ALXXSommaire du match
12 - 2021-10-2653Capitals2Devils3ALSommaire du match
14 - 2021-10-2866Penguins4Capitals5BWXXR5Sommaire du match
17 - 2021-10-3183Rangers1Capitals2BWSommaire du match
19 - 2021-11-0289Capitals2Flyers1AWSommaire du match
21 - 2021-11-04102Devils3Capitals2BLXSommaire du match
23 - 2021-11-06109Capitals7Bruins5AWSommaire du match
27 - 2021-11-10128Capitals7Islanders2AWSommaire du match
29 - 2021-11-12137Islanders3Capitals8BWSommaire du match
32 - 2021-11-15154Capitals2Islanders8ALSommaire du match
33 - 2021-11-16162Canadiens4Capitals3BLXXR2Sommaire du match
38 - 2021-11-21181Flyers4Capitals6BWSommaire du match
39 - 2021-11-22187Capitals3Penguins2AWXR5Sommaire du match
42 - 2021-11-25202Oilers4Capitals1BLSommaire du match
44 - 2021-11-27214Capitals2Oilers7ALSommaire du match
46 - 2021-11-29226Flyers2Capitals3BWXXSommaire du match
48 - 2021-12-01234Capitals4Predators3AWXSommaire du match
50 - 2021-12-03247Sharks4Capitals2BLSommaire du match
52 - 2021-12-05259Capitals5Ducks2AWSommaire du match
54 - 2021-12-07267Capitals1Stars3ALSommaire du match
56 - 2021-12-09280Blues2Capitals3BWXXSommaire du match
58 - 2021-12-11293Capitals1Sabres3ALSommaire du match
60 - 2021-12-13303Capitals1Rangers2ALXSommaire du match
61 - 2021-12-14308Wild5Capitals4BLXSommaire du match
65 - 2021-12-18327Islanders4Capitals5BWSommaire du match
68 - 2021-12-21343Avalanche6Capitals8BWSommaire du match
72 - 2021-12-25359Capitals2Canucks6ALSommaire du match
74 - 2021-12-27371Canucks4Capitals2BLSommaire du match
76 - 2021-12-29382Capitals2Avalanche1AWSommaire du match
78 - 2021-12-31392Capitals2Canadiens3ALXR2Sommaire du match
79 - 2022-01-01401Stars4Capitals5BWXSommaire du match
83 - 2022-01-05417Capitals3Red Wings0AWR2Sommaire du match
84 - 2022-01-06426Bruins1Capitals2BWXXSommaire du match
87 - 2022-01-09440Capitals3Canadiens1AWR2Sommaire du match
89 - 2022-01-11450Maple Leafs5Capitals1BLSommaire du match
91 - 2022-01-13461Capitals4Blues3AWSommaire du match
92 - 2022-01-14471Kings2Capitals1BLSommaire du match
95 - 2022-01-17482Capitals2Maple Leafs3ALSommaire du match
97 - 2022-01-19496Devils4Capitals6BWSommaire du match
99 - 2022-01-21508Capitals5Red Wings2AWR2Sommaire du match
100 - 2022-01-22516Capitals2Islanders3ALSommaire du match
102 - 2022-01-24524Bruins2Capitals3BWXSommaire du match
104 - 2022-01-26537Capitals1Senateurs2ALSommaire du match
106 - 2022-01-28546Islanders1Capitals5BWSommaire du match
109 - 2022-01-31563Capitals4Devils2AWSommaire du match
110 - 2022-02-01571Blackhawks3Capitals1BLSommaire du match
113 - 2022-02-04584Capitals3Devils4ALXXSommaire du match
115 - 2022-02-06595Maple Leafs3Capitals4BWXSommaire du match
117 - 2022-02-08610Capitals6Senateurs3AWSommaire du match
119 - 2022-02-10617Capitals1Kings4ALSommaire du match
120 - 2022-02-11623Sabres3Capitals5BWSommaire du match
123 - 2022-02-14641Penguins3Capitals5BWR5Sommaire du match
125 - 2022-02-16652Capitals3Penguins2AWXXSommaire du match
127 - 2022-02-18664Red Wings5Capitals4BLR2Sommaire du match
129 - 2022-02-20675Capitals1Blackhawks2ALSommaire du match
131 - 2022-02-22686Capitals6Wild5AWXXSommaire du match
132 - 2022-02-23693Penguins3Capitals8BWR5Sommaire du match
135 - 2022-02-26709Capitals3Flames2AWXXSommaire du match
136 - 2022-02-27718Flames3Capitals1BLSommaire du match
139 - 2022-03-02736Flyers5Capitals3BLSommaire du match
140 - 2022-03-03741Capitals1Bruins4ALSommaire du match
142 - 2022-03-05751Capitals3Sharks4ALXSommaire du match
144 - 2022-03-07762Capitals6Bruins4AWSommaire du match
145 - 2022-03-08769Senateurs5Capitals2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-03-13789Capitals4Canucks5ALSommaire du match
151 - 2022-03-14794Senateurs3Capitals0BLSommaire du match
154 - 2022-03-17812Capitals4Rangers3AWSommaire du match
155 - 2022-03-18817Canadiens4Capitals2BLR2Sommaire du match
159 - 2022-03-22838Ducks3Capitals1BLSommaire du match
162 - 2022-03-25858Predators7Capitals1BLSommaire du match
165 - 2022-03-28866Capitals2Penguins1AWR5Sommaire du match
168 - 2022-03-31884Capitals4Flyers3AWSommaire du match
169 - 2022-04-01888Devils6Capitals2BLSommaire du match
172 - 2022-04-04908Sabres1Capitals5BWSommaire du match
176 - 2022-04-08927Rangers5Capitals3BLSommaire du match
179 - 2022-04-11943Rangers4Capitals0BLSommaire du match
185 - 2022-04-17963Red Wings2Capitals5BWR2Sommaire du match
187 - 2022-04-19968Capitals1Flyers4ALSommaire du match
188 - 2022-04-20972Capitals3Maple Leafs1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance55,78838,971
Assistance PCT68.03%95.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2311 - 77.04% 114,741$4,704,387$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
5,416,788$ 2,505,829$ 1,361,579$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,120$ 2,432,584$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 28,826$ 28,826$




Capitals Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Stefan Noesen238134862201019553638780116.73%117480620.1935195411953820181146.70%40.921028
2Dominik Simon23864150214-8344295447268.82%137480320.18134053820331910147.26%00.89422
3Filip Chytil24685101186-172626253472611.71%99432317.5810172760000491048.97%20.8617
4Brendan Leipsic17249991488482982764919.98%93312718.181024344820286250.62%20.95310
5Mark Barberio23018108126101122524714653.87%316539723.471129407115615100.00%00.4700

Capitals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Elvis Merzlikins1928184150.8973.3310717162595576723761350.81554
2Joni Ortio84352560.8953.4441926024022861001500.93531

Capitals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Saison régulière
12823827044543052792641201301151154131234118140330315114837630551281711821071071230561038105593850299299288822003346218.56%2935680.89%61117226249.38%1065212850.05%652133548.84%175498617617651463727
1582254304451257297-4041122201330125138-1341132103121132159-27732574256821069918814259576695285345264888169021802434819.75%2725679.41%8962192949.87%958199747.97%630121951.68%1769105618297201364671
1682293305573263275-1241121903241136152-16411714023321271234902634236862178957813277791697985361270585765919732604216.15%2686376.49%31011206648.94%992209147.44%594122648.45%1738101118227481423699
1682293305573263275-1241121903241136152-16411714023321271234902634236862178957813277791697985361270585765919732604216.15%2686376.49%31011206648.94%992209147.44%594122648.45%1738101118227481423699
Total Saison régulière32812113601818241110881126-381645673088163551573-2216465630101088537553-1632910881783287163307388351521120536363965349721711050358728968326109719417.68%110123878.38%204101832349.27%4007830748.24%2470500649.34%700040657234298156752797

Capitals Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Capitals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA