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Capitals
GP: 12 | W: 7 | L: 5
GF: 42 | GA: 34 | PP%: 23.08% | PK%: 84.44%
DG: Pierre-Marc Brochu | Morale : 65 | Moyenne d’équipe : 68

Centre de jeu
Penguins
8-8-0, 16pts
1
FINAL
5 Capitals
7-5-0, 14pts
Team Stats
L2SéquenceL1
6-2-0Fiche domicile5-0-0
2-6-0Fiche domicile2-5-0
3-5-2Derniers 10 matchs6-3-1
2.94Buts par match 3.50
3.25Buts contre par match 2.83
17.31%Pourcentage en avantage numérique23.08%
81.67%Pourcentage en désavantage numérique84.44%
Capitals
7-5-0, 14pts
2
FINAL
3 Penguins
8-8-0, 16pts
Team Stats
L1SéquenceL2
5-0-0Fiche domicile6-2-0
2-5-0Fiche domicile2-6-0
6-3-1Derniers 10 matchs3-5-2
3.50Buts par match 2.94
2.83Buts contre par match 3.25
23.08%Pourcentage en avantage numérique17.31%
84.44%Pourcentage en désavantage numérique81.67%
Meneurs d'équipe
Buts
Warren Foegele
10
Passes
Ross Colton
14
Points
Ross Colton
22
Plus/Moins
Warren Foegele
5
Victoires
Kristers Gudlevskis
5
Pourcentage d’arrêts
Niklas Svedberg
0.927

Statistiques d’équipe
Buts pour
42
3.50 GFG
Tirs pour
383
31.92 Avg
Pourcentage en avantage numérique
23.1%
12 GF
Début de zone offensive
38.9%
Buts contre
34
2.83 GAA
Tirs contre
412
34.33 Avg
Pourcentage en désavantage numérique
84.4%%
7 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralPierre-Marc Brochu
EntraîneurSpencer Carbery
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,877
Billets de saison1,800


Informations de la formation

Équipe Pro39
Équipe Mineure19
Limite contact 58 / 60
Espoirs34


Historique d'équipe

Saison actuelle7-5
Historique77-74-14 (0.467%)
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
1Brendan Leipsic (R)X100.0059279369706679897095837766747144827503131,750,000$
2Dominik Simon (R)X100.0054189967726984896490847569878239817503032,000,000$
3Ross Colton (R)X100.0083587080788482858881817625846348837502831,750,000$
4Warren Foegele (R)X100.0079537376818486845278767425817959797402921,500,000$
5Oliver Wahlstrom (R)X100.007248747783767375497678692578714981710252900,000$
6Alexei Protas (R)X100.007143927394837777577465702573604881700241789,167$
7Rafael Harvey-Pinard (R)X100.006842847873837270466977702581614681692262825,000$
8Colin Blackwell (R)X100.007241877573848171566665702572746281680322700,000$
9Alexander Holtz (R)X100.006445857781797274466870622576594881670231894,167$
10Axel Jonsson Fjällby (R)X100.006941867479787073396968682577634980670271750,000$
11Connor Zary (R)X100.006447768172766873637067652575534980672233863,333$
12Michael Sgarbossa (R)X100.006241757268767766836962632593896682660321700,000$
13Ilya Lyubushkin (R)X100.0080546975818685724078708856777654807503132,000,000$
14Tomas Kundratek (R)X100.0039269962775578985295974572999916797003521,000,000$
15Philip Broberg (R)X100.006542787782817371406861712573624681692232863,333$
16Maxime Lajoie (R)X100.006147677174667966407371735281794383680271700,000$
17Logan Stanley (R)X100.006867646994837168406262712568645362680273700,000$
18Jordan Spence (R)X100.006544857971777372407160712572574980682242820,000$
Rayé
1Rudolfs Balcers (R)X100.007439937270577172167671622579786520660281800,000$
2Zack MacEwen (R)X100.008276596989767969556363662574736320660282700,000$
3Jonah Gadjovich (R)X100.007887537285767268406867662572644919660263575,000$
4Beck Malenstyn (R)X100.007646797277767669466661732567635619652272762,500$
5Martin Kaut (R)X100.005732907577767368326262652571665420640252575,000$
6Byron Froese (R)X100.005543676376727963806257696388856119630343575,000$
7Anton Blidh (R)X100.006738916575626862607369642562626020630301575,000$
8Matthew Phillips (R)X100.005641807662747068426563662569605320632273775,000$
9Joe Snively (R)X100.005543707156686664456556632564575020600291800,000$
10Brandon McMillanX100.00497996574275248556036645894903520550353575,000$
11Andreas Borgman (R)X100.005632946176707863306461765383773920660301600,000$
12Tyler Tucker (R)X100.007169607482816768406261682568564955662252808,333$
13Cale Fleury (R)X100.006843726971726666406358692568675320640262600,000$
14Tyler Lewington (R)X100.007869996676696862305550684981752620640301575,000$
15Kyle Capobianco (R)X100.005433827278797161405457632570776219630273575,000$
16Ryan Johnson (R)X100.005843757075756367406560672566515020632233925,000$
17Igor Ozhiganov (R)X100.005825856378636655305451696071702020610321575,000$
18Jack Thompson (R)X100.005741727163636265406358662565505020602233828,333$
MOYENNE D’ÉQUIPE100.00654480727673737048696668357669495167
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
1Niklas Svedberg100.008070707374999999997779999853818403522,000,000$
2Michael Dipietro (R)100.00796866777479818079797568726138740261575,000$
Rayé
1Kristers Gudlevskis (R)100.00797370787688929493737593854985810321900,000$
MOYENNE D’ÉQUIPE100.0079706976758991919076768785546880
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Spencer Carbery6158625756561CAN422750,000$


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
1Ross ColtonCapitals (WAS)C12814223155413549142416.33%624420.4227912450001231056.01%31683011.8000100121
2Warren FoegeleCapitals (WAS)RW1210818513533184171724.39%523819.8823510450002171061.11%1854011.5100010220
3Brendan LeipsicCapitals (WAS)LW12291140013204719234.26%226722.3012314450001431048.84%8696000.8200000002
4Tomas KundratekCapitals (WAS)D112810-200513261267.69%1327625.15235843000141010%068000.7200000001
5Ilya LyubushkinCapitals (WAS)D123710-11203028194715.79%2129524.64336645000039000%025000.6800000020
6Dominik SimonCapitals (WAS)LW12459-22018173582811.43%924720.650221310001382035.00%2084000.7300000101
7Oliver WahlstromCapitals (WAS)RW12358-14027152431312.50%820316.93202430000001035.71%1494000.7900000011
8Rafael Harvey-PinardCapitals (WAS)LW1262842016122782622.22%615412.8600001000000133.33%1264001.0400000100
9Alexei ProtasCapitals (WAS)C12145-1202426117179.09%320316.93011031000001039.81%21615000.4900000100
10Maxime LajoieCapitals (WAS)D12033519518137680%1225921.66000031000125000%024000.2300100000
11Colin BlackwellCapitals (WAS)RW121234601116208175.00%615212.6800001000100066.67%603000.3900000000
12Alexander HoltzCapitals (WAS)RW12123-30087168106.25%0998.26000000001130045.45%1120000.6100000100
13Michael SgarbossaCapitals (WAS)C1211232351216115149.09%313611.4100000000020049.37%7944000.2900001000
14Philip BrobergCapitals (WAS)D12022440201813780%1826121.80000032000229000%022000.1500000000
15Jordan SpenceCapitals (WAS)D1201107571011250%1218115.110001100004000%024000.1100010000
16Connor ZaryCapitals (WAS)C12011-440116115140%0857.1700000000010050.00%3023000.2300000000
17Logan StanleyCapitals (WAS)D7000-11558133110%310715.350000100003000%01900000100000
18Axel Jonsson FjällbyCapitals (WAS)LW12000-3001059370%3867.210000000008000%02400000000000
19Tyler TuckerCapitals (WAS)D60000201263210%58714.530000000004000%01200000000000
Statistiques d’équipe totales ou en moyenne2164274116141303032429438312924610.97%135359016.6212213356390000112977248.89%8087278020.6500321776
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
1Kristers GudlevskisCapitals (WAS)65100.9123.00360001820591000065100
2Niklas SvedbergCapitals (WAS)62310.9272.41373001520690010066002
Statistiques d’équipe totales ou en moyenne127410.9202.7073300334111810101211102


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander HoltzCapitals (WAS)RW232002-01-23SWEYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------
Alexei ProtasCapitals (WAS)C242001-01-06BLRYes225 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm789,167$0$0$No---------------------------
Andreas BorgmanCapitals (WAS)D301995-06-18SWEYes212 Lbs6 ft0NoNoN/ANoNo12024-09-07FalseFalsePro & Farm600,000$0$0$No---------------------------
Anton BlidhCapitals (WAS)LW301995-03-14SWEYes195 Lbs6 ft0NoNoN/ANoNo12024-09-07FalseFalsePro & Farm575,000$0$0$No---------------------------
Axel Jonsson FjällbyCapitals (WAS)LW271998-02-10SWEYes189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Beck MalenstynCapitals (WAS)LW271998-02-04CANYes200 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$-----------------No--------
Brandon McMillanCapitals (WAS)C351990-03-22CANNo198 Lbs5 ft11NoNoFree AgentNoNo32024-10-06FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Brendan LeipsicCapitals (WAS)LW311994-05-19CANYes182 Lbs5 ft10NoNoN/ANoNo32024-09-07FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$----------------NoNo-------
Byron FroeseCapitals (WAS)C341991-03-12CANYes195 Lbs6 ft1NoNoFree AgentNoNo32024-10-06FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Cale FleuryCapitals (WAS)D261998-11-19CANYes205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$-----------------No--------
Colin BlackwellCapitals (WAS)RW321993-03-28USAYes190 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$-----------------No--------
Connor ZaryCapitals (WAS)C232001-09-25CANYes178 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-16FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------863,333$863,333$-------NoNo-------
Dominik SimonCapitals (WAS)LW301994-08-08CZEYes190 Lbs5 ft11NoNoN/ANoNo32024-09-07FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$----------------NoNo-------
Igor OzhiganovCapitals (WAS)D321992-10-13RUSYes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Ilya LyubushkinCapitals (WAS)D311994-04-06RUSYes200 Lbs6 ft2NoNoN/ANoNo32024-09-07FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$----------------NoNo-------
Jack ThompsonCapitals (WAS)D232002-03-19CANYes189 Lbs6 ft1NoNoAssign ManuallyNoNo32024-08-16FalseFalsePro & Farm828,333$0$0$No828,333$828,333$-------828,333$828,333$-------NoNo-------
Joe SnivelyCapitals (WAS)LW291996-01-01USAYes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Jonah GadjovichCapitals (WAS)LW261998-10-12CANYes209 Lbs6 ft2NoNoN/ANoNo32024-09-07FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Jordan SpenceCapitals (WAS)D242001-02-24ASTYes180 Lbs5 ft11NoNoTrade2024-03-02NoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------
Kristers GudlevskisCapitals (WAS)G321992-07-31AUSYes192 Lbs6 ft4NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Kyle CapobiancoCapitals (WAS)D271997-08-13CANYes201 Lbs6 ft2NoNoN/ANoNo32024-09-07FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Logan StanleyCapitals (WAS)D271998-05-26CANYes231 Lbs6 ft7NoNoN/ANoNo32024-09-07FalseFalsePro & Farm700,000$0$0$No700,000$700,000$----------------NoNo-------
Martin KautCapitals (WAS)RW251999-10-02CZEYes190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Matthew PhillipsCapitals (WAS)RW271998-04-06CANYes160 Lbs5 ft8NoNoAssign ManuallyNoNo32024-08-25FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Maxime LajoieCapitals (WAS)D271997-11-05CANYes191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Michael DipietroCapitals (WAS)G261999-06-09CANYes200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Michael SgarbossaCapitals (WAS)C321992-07-25CANYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Niklas SvedbergCapitals (WAS)G351989-09-04SWENo179 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------
Oliver WahlstromCapitals (WAS)RW252000-06-13USAYes200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$-----------------No--------
Philip BrobergCapitals (WAS)D232001-06-25SWEYes203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$-----------------No--------
Rafael Harvey-PinardCapitals (WAS)LW261999-01-06CANYes184 Lbs5 ft9NoNoTrade2024-03-02NoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------
Ross ColtonCapitals (WAS)C281996-09-11USAYes194 Lbs6 ft0NoNoN/ANoNo32024-09-07FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$----------------NoNo-------
Rudolfs BalcersCapitals (WAS)RW281997-04-08LVAYes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Ryan JohnsonCapitals (WAS)D232001-07-24USAYes195 Lbs6 ft1NoNoAssign ManuallyNoNo32024-08-16FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Tomas KundratekCapitals (WAS)D351989-12-26CZEYes207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------
Tyler LewingtonCapitals (WAS)D301994-12-05CANYes201 Lbs6 ft2NoNoN/ANoNo12024-09-07FalseFalsePro & Farm575,000$0$0$No---------------------------
Tyler TuckerCapitals (WAS)D252000-03-01CANYes204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm808,333$0$0$No808,333$--------808,333$--------No--------
Warren FoegeleCapitals (WAS)RW291996-04-01CANYes204 Lbs6 ft2NoNoN/ANoNo22024-09-07FalseFalsePro & Farm1,500,000$0$0$No1,500,000$-----------------No--------
Zack MacEwenCapitals (WAS)RW281996-07-08CANYes240 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$-----------------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3928.08196 Lbs6 ft12.00902,030$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LeipsicRoss ColtonWarren Foegele35122
2Dominik SimonAlexei ProtasOliver Wahlstrom35122
3Rafael Harvey-PinardConnor ZaryColin Blackwell25122
4Axel Jonsson FjällbyMichael SgarbossaAlexander Holtz5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinTomas Kundratek35122
2Philip BrobergMaxime Lajoie35122
3Logan StanleyJordan Spence30122
4Ilya LyubushkinTomas Kundratek0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LeipsicRoss ColtonWarren Foegele60122
2Dominik SimonAlexei ProtasOliver Wahlstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinTomas Kundratek60122
2Philip BrobergMaxime Lajoie40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ross ColtonBrendan Leipsic60122
2Dominik SimonWarren Foegele40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinTomas Kundratek60122
2Philip BrobergMaxime Lajoie40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ross Colton60122Ilya LyubushkinTomas Kundratek60122
2Brendan Leipsic40122Philip BrobergMaxime Lajoie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ross ColtonBrendan Leipsic60122
2Dominik SimonWarren Foegele40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinTomas Kundratek60122
2Philip BrobergMaxime Lajoie40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LeipsicRoss ColtonWarren FoegeleIlya LyubushkinTomas Kundratek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LeipsicRoss ColtonWarren FoegeleIlya LyubushkinTomas Kundratek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rafael Harvey-Pinard, Colin Blackwell, Alexander HoltzRafael Harvey-Pinard, Colin BlackwellAlexander Holtz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Stanley, Jordan Spence, Philip BrobergLogan StanleyJordan Spence, Philip Broberg
Tirs de pénalité
Ross Colton, Brendan Leipsic, Dominik Simon, Warren Foegele, Oliver Wahlstrom
Gardien
#1 : Niklas Svedberg, #2 : Michael Dipietro
Lignes d’attaque personnalisées en prolongation
Ross Colton, Brendan Leipsic, Dominik Simon, Warren Foegele, Oliver Wahlstrom, Alexei Protas, Rafael Harvey-Pinard, Colin Blackwell, Alexander Holtz, Axel Jonsson Fjällby
Lignes de défense personnalisées en prolongation
Ilya Lyubushkin, Tomas Kundratek, Philip Broberg, Maxime Lajoie, 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
1Devils5410000021138220000001037321000001110180.8002137580013141411491131261377153495413928828.57%17288.24%015131448.09%15632248.45%8817251.16%261152268109204100
2Penguins734000002121033000000158740400000613-760.4292137581013141412341131261377259867618524416.67%28582.14%015131448.09%15632248.45%8817251.16%261152268109204100
Total1275000004234855000000251114725000001723-6140.58342741161013141413831131261377412135130324521223.08%45784.44%015131448.09%15632248.45%8817251.16%261152268109204100
_Since Last GM Reset1275000004234855000000251114725000001723-6140.58342741161013141413831131261377412135130324521223.08%45784.44%015131448.09%15632248.45%8817251.16%261152268109204100
_Vs Conference1275000004234855000000251114725000001723-6140.58342741161013141413831131261377412135130324521223.08%45784.44%015131448.09%15632248.45%8817251.16%261152268109204100
_Vs Division1275000004234855000000251114725000001723-6140.58342741161013141413831131261377412135130324521223.08%45784.44%015131448.09%15632248.45%8817251.16%261152268109204100

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214L1427411638341213513032410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500004234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
55000002511
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72500001723
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
521223.08%45784.44%0
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
11312613771314141
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
15131448.09%15632248.45%8817251.16%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
261152268109204100


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
13Capitals5Devils4WXSommaire du match
311Capitals3Devils4LSommaire du match
519Devils1Capitals3WSommaire du match
727Devils2Capitals7WSommaire du match
935Capitals3Devils2WSommaire du match
1558Capitals2Penguins4LR5Sommaire du match
1762Capitals1Penguins2LXSommaire du match
1966Penguins3Capitals4WR5Sommaire du match
2170Penguins4Capitals6WSommaire du match
2374Capitals1Penguins4LR5Sommaire du match
2578Penguins1Capitals5WSommaire du match
2782Capitals2Penguins3LR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance9,3845,000
Assistance PCT93.84%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2877 - 95.89% 147,766$738,828$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,517,916$ 3,517,916$ 750,000$0$
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 des joueurs (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
1Brendan Leipsic142628414681019527346413.36%71292820.62822304701148351.59%01.00310
2Warren Foegele1596482146-614240423345014.22%60315619.8522153767112127443.53%10.9319
3Alexei Protas1643682118-12122973593719.70%82319419.48420242401158142.89%00.7419
4Oliver Wahlstrom151454893-515733920341710.79%72271918.0184122300053435.76%10.6816
5Rafael Harvey-Pinard146524092-31918218938513.51%66228115.632461401127437.93%00.8112

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
1Kristers Gudlevskis84343770.9023.1745988024324831126040.88526
2Niklas Svedberg63322240.9013.203600411921945802110.83318
3Michael Dipietro33111520.8953.45173701100953438110.84613

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
19823234083322782671141141804311141143-24118160402113712413912784737514183978712264084691883860267781656921022383916.39%2034179.80%41012200850.40%982193350.80%649125151.88%1774104217957261405705
2082264002662232278-4641122001161122139-1741142001501110139-29762323796112167926511256688685481048271085180220192103818.10%2424880.17%3855191444.67%919199146.16%615120351.12%1757103518327241382683
Total Saison régulière1645874010994510545-3582263805472263282-1982323605522247263-1616751085213626215018915223520617321772164810853871667137141214487717.19%4458980.00%71867392247.60%1901392448.45%1264245451.51%353120773627145127881388
Séries éliminatoires
Total Séries éliminatoires00000000000000%0%0%0%0%000000

Capitals Leaders statistiques des joueurs (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