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Capitals
GP: 16 | W: 11 | L: 5
GF: 63 | GA: 51 | PP%: 23.33% | PK%: 83.02%
DG: Pierre-Marc Brochu | Morale : 69 | Moyenne d’équipe : 67
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Centre de jeu
Capitals
11-5-0, 22pts
4
FINAL
5 Senateurs
15-10-0, 30pts
Team Stats
L1StreakL2
6-3-0Home Record4-7-0
5-2-0Away Record11-3-0
6-3-1Last 10 Games6-4-0
3.94Buts par match 3.12
3.19Buts contre par match 2.96
23.33%Pourcentage en avantage numérique30.12%
83.02%Pourcentage en désavantage numérique76.83%
Senateurs
15-10-0, 30pts
5
FINAL
3 Capitals
11-5-0, 22pts
Team Stats
L2StreakL1
4-7-0Home Record6-3-0
11-3-0Away Record5-2-0
6-4-0Last 10 Games6-3-1
3.12Buts par match 3.94
2.96Buts contre par match 3.19
30.12%Pourcentage en avantage numérique23.33%
76.83%Pourcentage en désavantage numérique83.02%
Meneurs d'équipe
Buts
Stefan Noesen
15
Passes
Dominik Simon
14
Points
Stefan Noesen
24
Plus/Moins
Warren Foegele
12
Victoires
Joni Ortio
9
Pourcentage d’arrêts
Joni Ortio
0.909

Statistiques d’équipe
Buts pour
63
3.94 GFG
Tirs pour
517
32.31 Avg
Pourcentage en avantage numérique
23.3%
14 GF
Début de zone offensive
36.2%
Buts contre
51
3.19 GAA
Tirs contre
506
31.63 Avg
Pourcentage en désavantage numérique
83.0%%
9 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralPierre-Marc Brochu
EntraîneurJeff Blashill
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,852
Billets de saison1,800


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 60
Espoirs30


Historique d'équipe

Saison actuelle11-5
Historique45-26-7 (0.577%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)11-5
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)X100.0076758273847777866783807654826470887503011,500,000$
2Brendan Leipsic (R)X100.0063318969717379817086767766666352907202922,000,000$
3Dominik Simon (R)X100.0068329566737484826584777469777249837202822,000,000$
4Filip Chytil (R)X100.007742917582647879787775672569716790710232900,000$
5Warren Foegele (R)X100.007744887782679074507572752563717090710272900,000$
6Ross Colton (R)X100.007444847383827271777371642576716989690262850,000$
7Rudolfs Balcers (R)X100.007944887582687171257570682573727190680263800,000$
8Oliver Wahlstrom (R)X100.007544857684627676377376592565667089680231925,000$
9Colin Blackwell (R)X100.007643897283667866477470725981616990680301575,000$
10Michael Sgarbossa (R)X100.008267807083656964807366646283786290670303700,000$
11Mikhail Maltsev (R)X100.008143957684866763617270672549486690670252809,167$
12Zack MacEwen (R)X100.007899657283526264447168612551515790630261825,000$
13Mark Barberio (R)X100.006343826375787395308986935983733064750331900,000$
14Rasmus Andersson (R)X100.007344827581829371257572732565656390720261600,000$
15Ilya Lyubushkin (R)X100.007546916882737870257068692580755787690292900,000$
16Andreas Borgman (R)X100.006439866076847861306359725376714690660282600,000$
17Logan Stanley (R)X100.007445806981616664257169662569675575660252900,000$
Rayé
1Anton Blidh (R)X100.007646826683676861577268632558586420630282575,000$
2Martin Kaut (R)X100.007467777484606061507368555845456320620231894,167$
3Blake Pietila (R)X100.004625776373435972526865715460585125610301575,000$
4Jonah Gadjovich (R)X100.007376746584565545507266703744446620600242783,333$
5Alexei Protas (R)X100.008682956882596056704040684844446020550223789,167$
6Axel Jonsson Fjällby (R)X100.007468896568677057503737625944446220530253750,000$
7Joe Snively (R)X100.007264916164626361504141625544446119530273800,000$
8Alexander Holtz (R)X100.007666996366505050503838624544445420510213894,167$
9Cale Fleury (R)X100.008377967578597762306055665369685479660241771,666$
10Kyle Capobianco (R)X100.007772817082596165257270704045455619640252575,000$
11Tyler Lewington (R)X100.007869996269696862305550684975693220630282750,000$
12Igor Ozhiganov (R)X100.005825856278636655305451696062612919600303575,000$
MOYENNE D’ÉQUIPE100.00735486697966716748686568436461586165
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)100.00919584818599999999918979835790890291874,125$
2Michael Dipietro (R)100.00796866777479818079797564686523740243575,000$
Rayé
1Joni Ortio (R)100.007877717575979899997776918753908403221,250,000$
MOYENNE D’ÉQUIPE100.0083807478789293939282807879586882
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill46987940738365USA4831,900,000$


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)RW1615924-1115323569174521.74%533921.2234710491123482043.59%117167011.4100001212
2Filip ChytilCapitals (WAS)C1671219400194162143311.29%628317.74213739000031049.83%297125001.3400000302
3Warren FoegeleCapitals (WAS)RW16981712120262749123318.37%729818.672133381012192127.78%1885001.1400000210
4Dominik SimonCapitals (WAS)C133141720021313110139.68%1128121.621453440002460048.94%32923001.2100000002
5Brendan LeipsicCapitals (WAS)LW164111526033254614308.70%1232420.262468500000290033.33%2433000.9300000100
6Scott HarringtonCapitalsD160131391002530211070.00%2437823.67055554022049000.00%0108000.6900000010
7Colin BlackwellCapitals (WAS)LW1665111010038363451817.65%1027617.30123636000022137.50%846010.7900000120
8Ross ColtonCapitals (WAS)C16459410018202261418.18%421313.3501127000000141.62%18562000.8400000201
9Mark BarberioCapitals (WAS)D120882140113720690.00%2628223.53022142000033000.00%068000.5700000000
10Oliver WahlstromCapitals (WAS)RW16617-36027153172619.35%019312.1200002000001133.33%931000.7200000010
11Rasmus AnderssonCapitals (WAS)D162355802630281267.14%1735622.31202340000038000.00%0713000.2800000010
12Ilya LyubushkinCapitals (WAS)D162352402523185311.11%1734821.80101436000033200.00%077000.2900000001
13Rudolfs BalcersCapitals (WAS)LW16044-360268307170.00%321413.42000020000180046.15%1354000.3700000000
14Logan StanleyCapitals (WAS)D15134-520142674014.29%1424016.0600000000016000.00%048100.3300000010
15Zack MacEwenCapitals (WAS)RW16213-26087941122.22%31207.5200001000001066.67%341000.5000000000
16Andreas BorgmanCapitals (WAS)D16022-42041610430.00%1724215.150000000001000.00%013000.1700000001
17Mikhail MaltsevCapitals (WAS)LW16112-200191212548.33%21237.7100000000040042.86%752000.3200000000
18Blake PietilaCapitals (WAS)C31010001330333.33%1258.4300000000010025.00%800000.7900000000
19Michael SgarbossaCapitals (WAS)C16011-420191114480.00%21388.6400000000060043.75%4803000.1400000000
20Cale FleuryCapitals (WAS)D5011520671230.00%610020.070000800008000.00%014000.2000000000
Statistiques d’équipe totales ou en moyenne2886310516833111539844051714828612.19%187478316.6114243852456235736111445.97%106610493120.70000011189
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
1Joni OrtioCapitals (WAS)129210.9092.877330035385151100.00%0123010
2Elvis MerzlikinsCapitals (WAS)42200.8753.78238001512042010.00%0412000
Statistiques d’équipe totales ou en moyenne1611410.9013.0997200505051931101615010


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
Alexander HoltzCapitals (WAS)RW212002-01-23 05:01:05Yes194 Lbs6 ft0NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Alexei ProtasCapitals (WAS)C222001-01-06 05:29:17Yes225 Lbs6 ft6NoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$
Andreas BorgmanCapitals (WAS)D281995-06-18 04:45:15Yes212 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
Anton BlidhCapitals (WAS)LW281995-03-14 09:14:08Yes201 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Axel Jonsson FjällbyCapitals (WAS)LW251998-02-10 04:01:54Yes185 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Blake PietilaCapitals (WAS)C301993-02-20 11:11:13Yes200 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Brendan LeipsicCapitals (WAS)LW291994-05-19 17:11:13Yes182 Lbs5 ft10NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Cale FleuryCapitals (WAS)D241998-11-19 12:37:15Yes212 Lbs6 ft1NoNoNo1Pro & Farm771,666$0$0$No
Colin BlackwellCapitals (WAS)LW301993-03-28 04:26:00Yes190 Lbs5 ft9NoNoNo1Pro & Farm575,000$0$0$No
Dominik SimonCapitals (WAS)C281994-08-08 07:29:33Yes190 Lbs5 ft11NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Elvis MerzlikinsCapitals (WAS)G291994-04-13 12:39:50Yes192 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$No
Filip ChytilCapitals (WAS)C231999-09-05 13:13:19Yes208 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Igor OzhiganovCapitals (WAS)D301992-10-13 03:56:02Yes210 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Ilya LyubushkinCapitals (WAS)D291994-04-06 08:31:32Yes201 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Joe SnivelyCapitals (WAS)LW271996-01-01 10:16:06Yes181 Lbs5 ft9NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Jonah GadjovichCapitals (WAS)LW241998-10-12 13:05:14Yes209 Lbs6 ft2NoNoNo2Pro & Farm783,333$0$0$No783,333$
Joni OrtioCapitals (WAS)G321991-04-16 23:11:14Yes187 Lbs6 ft1NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Kyle CapobiancoCapitals (WAS)D251997-08-13 13:18:25Yes196 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
Logan StanleyCapitals (WAS)D251998-05-26 13:08:32Yes231 Lbs6 ft7NoNoNo2Pro & Farm900,000$0$0$No900,000$
Mark BarberioCapitals (WAS)D331990-03-23 17:11:13Yes207 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Martin KautCapitals (WAS)RW231999-10-02 12:42:37Yes190 Lbs6 ft2NoNoNo1Pro & Farm894,167$0$0$No
Michael DipietroCapitals (WAS)G241999-06-09 10:49:43Yes200 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Michael SgarbossaCapitals (WAS)C301992-07-25 05:11:13Yes185 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Mikhail MaltsevCapitals (WAS)LW251998-03-12 13:12:49Yes220 Lbs6 ft3NoNoNo2Pro & Farm809,167$0$0$No809,167$
Oliver WahlstromCapitals (WAS)RW232000-06-13 12:45:28Yes205 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Rasmus AnderssonCapitals (WAS)D261996-10-27 08:36:44Yes214 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Ross ColtonCapitals (WAS)C261996-09-11 13:16:11Yes209 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No850,000$
Rudolfs BalcersCapitals (WAS)LW261997-04-08 04:53:30Yes175 Lbs5 ft11NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Stefan NoesenCapitals (WAS)RW301993-02-12 11:11:13Yes205 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$0$0$No
Tyler LewingtonCapitals (WAS)D281994-12-05 12:50:41Yes201 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Warren FoegeleCapitals (WAS)RW271996-04-01 13:15:49Yes198 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Zack MacEwenCapitals (WAS)RW261996-07-08 04:15:59Yes205 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3226.75201 Lbs6 ft11.94878,619$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LeipsicDominik SimonStefan Noesen35122
2Colin BlackwellFilip ChytilWarren Foegele35122
3Rudolfs BalcersRoss ColtonOliver Wahlstrom25122
4Mikhail MaltsevMichael SgarbossaZack MacEwen5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark Barberio35122
2Rasmus AnderssonIlya Lyubushkin35122
3Andreas BorgmanLogan Stanley30122
4Mark Barberio0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LeipsicDominik SimonStefan Noesen60122
2Colin BlackwellFilip ChytilWarren Foegele40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark Barberio60122
2Rasmus AnderssonIlya Lyubushkin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenDominik Simon60122
2Brendan LeipsicWarren Foegele40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark Barberio60122
2Rasmus AnderssonIlya Lyubushkin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stefan Noesen60122Mark Barberio60122
2Dominik Simon40122Rasmus AnderssonIlya Lyubushkin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenDominik Simon60122
2Brendan LeipsicWarren Foegele40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark Barberio60122
2Rasmus AnderssonIlya Lyubushkin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LeipsicDominik SimonStefan NoesenMark Barberio
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LeipsicDominik SimonStefan NoesenMark Barberio
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ross Colton, Oliver Wahlstrom, Rudolfs BalcersRoss Colton, Oliver WahlstromRudolfs Balcers
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andreas Borgman, Logan Stanley, Rasmus AnderssonAndreas BorgmanLogan Stanley, Rasmus Andersson
Tirs de pénalité
Stefan Noesen, Dominik Simon, Brendan Leipsic, Warren Foegele, Filip Chytil
Gardien
#1 : Elvis Merzlikins, #2 : Michael Dipietro
Lignes d’attaque personnalisées en prolongation
Stefan Noesen, Dominik Simon, Brendan Leipsic, Warren Foegele, Filip Chytil, Ross Colton, Ross Colton, Oliver Wahlstrom, Colin Blackwell, Rudolfs Balcers, Mikhail Maltsev
Lignes de défense personnalisées en prolongation
, Mark Barberio, Rasmus Andersson, Ilya Lyubushkin, Andreas Borgman


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
1Maple Leafs541000002215732100000131122200000094580.80022355700182122214616318016212151553412917423.53%17382.35%118138646.89%19842346.81%11125743.19%335189357150282138
2Rangers440000001697220000009632200000073481.0001627430018212221441631801621211646419720420.00%18383.33%018138646.89%19842346.81%11125743.19%335189357150282138
3Senateurs734000002527-2422000001418-431200000119260.42925436810182122222716318016212239863617223626.09%18383.33%118138646.89%19842346.81%11125743.19%335189357150282138
Total1611500000635112963000003635175200000271611220.6886310516810182122251716318016212506187111398601423.33%53983.02%218138646.89%19842346.81%11125743.19%335189357150282138
_Since Last GM Reset1611500000635112963000003635175200000271611220.6886310516810182122251716318016212506187111398601423.33%53983.02%218138646.89%19842346.81%11125743.19%335189357150282138
_Vs Conference1611500000635112963000003635175200000271611220.6886310516810182122251716318016212506187111398601423.33%53983.02%218138646.89%19842346.81%11125743.19%335189357150282138
_Vs Division440000001697220000009632200000073481.0001627430018212221441631801621211646419720420.00%18383.33%018138646.89%19842346.81%11125743.19%335189357150282138

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1622L16310516851750618711139810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1611500006351
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96300003635
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
75200002716
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
601423.33%53983.02%2
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
163180162121821222
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
18138646.89%19842346.81%11125743.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
335189357150282138


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
1 - 2022-10-183Maple Leafs4Capitals3BLSommaire du match
3 - 2022-10-2011Maple Leafs5Capitals7BWSommaire du match
5 - 2022-10-2219Capitals5Maple Leafs3AWSommaire du match
7 - 2022-10-2427Capitals4Maple Leafs1AWSommaire du match
9 - 2022-10-2635Maple Leafs2Capitals3BWXSommaire du match
15 - 2022-11-0158Rangers3Capitals5BWSommaire du match
17 - 2022-11-0362Rangers3Capitals4BWSommaire du match
19 - 2022-11-0566Capitals3Rangers2AWSommaire du match
21 - 2022-11-0770Capitals4Rangers1AWSommaire du match
29 - 2022-11-1585Senateurs3Capitals4BWXSommaire du match
31 - 2022-11-1787Senateurs3Capitals4BWSommaire du match
33 - 2022-11-1989Capitals6Senateurs2AWSommaire du match
35 - 2022-11-2191Capitals1Senateurs2ALSommaire du match
37 - 2022-11-2393Senateurs7Capitals3BLSommaire du match
39 - 2022-11-2595Capitals4Senateurs5ALXSommaire du match
41 - 2022-11-2797Senateurs5Capitals3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance16,6689,000
Assistance PCT92.60%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2852 - 95.07% 146,259$1,316,332$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,811,580$ 1,347,330$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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 Noesen78334881-59419117330710.75%55164821.14819275921344347.4800.98413
2Dominik Simon78323264-3615619120215.84%36165721.241011213712344245.4010.77514
3Filip Chytil8228366441415518622312.56%32149018.1855102910133349.0910.8617
4Brendan Leipsic70163046-524124891699.47%31139519.93510153822451153.7200.66311
5Warren Foegele7120244422615411218510.81%21128018.032351300064138.5700.6905

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 Merzlikins71402180.9122.714103621852107846220.88753
2Joni Ortio185530.9032.809010042434184100.7508

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
17823026048113240232841171202442120119141131402471120113710124039663622687582212487833821790102254385665222602994314.38%2673786.14%7950199947.52%1006204249.27%556112949.25%176298817827671465736
Total Saison régulière823026048113240232841171202442120119141131402471120113710124039663622687582212487833821790102254385665222602994314.38%2673786.14%7950199947.52%1006204249.27%556112949.25%176298817827671465736
Séries éliminatoires
171611500000635112963000003635175200000271611226310516810182122251716318016212506187111398601423.33%53983.02%218138646.89%19842346.81%11125743.19%335189357150282138
Total Séries éliminatoires1611500000635112963000003635175200000271611226310516810182122251716318016212506187111398601423.33%53983.02%218138646.89%19842346.81%11125743.19%335189357150282138

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
1Stefan Noesen1615924-11132356921.74%533921.223471011232043.5911.4100
2Filip Chytil16712194019416211.29%628317.74213700001049.8301.3400
3Dominik Simon1331417202131319.68%1128121.62145300020048.9401.2100
4Warren Foegele169817121226274918.37%729818.67213310122127.7801.1400
5Brendan Leipsic1641115263325468.70%1232420.26246800000033.3300.9300

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
1Joni Ortio129210.9092.877330035385151100.00%0
2Elvis Merzlikins42200.8753.78238001512042010.00%0