Capitals

GP: 60 | W: 21 | L: 26 | OTL: 13 | P: 55
GF: 140 | GA: 170 | PP%: 16.86% | PK%: 81.05%
DG: Louis Simard | Morale : 22 | Moyenne d'Équipe : 74
Prochain matchs #769 vs Maple Leafs
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Matt DucheneXX98.006541858968899679837179627376637637820
2Adam HenriqueXX100.006441868370889778786575747370605337750
3Kevin LabancXX100.006042788865799476606963606655534937740
4Ryan StromeXX100.006142837972839770747163626963578537740
5Nick FolignoXXX100.008444777972909470816067687280676237730
6Ryan DonatoXX100.007540888068808083906570707054528537710
7Alexander KerfootXX100.006142778360829476726370697053524837700
8Derek DorsettXX100.007446717769834970504875747771613037700
9Nick RitchieX100.009245707886819279616060626657598537690
10Miles WoodXX100.006646667674809570715470707255536137680
11Tyler PitlickX100.007342777475829674585364737255536637680
12Colton ParaykoX99.007141917593929781306857846759576137770
13Andy GreeneX100.006741907066879770305053906781712136750
14Ivan ProvorovX100.007841917674959873306368837356598737750
15Johnny BoychukX96.007942897084867773305660817073683636750
16Shayne GostisbehereX100.006342888963899485308565657058566237720
17Ryan PulockX100.007741867180818477306564747053568237710
Rayé
1Sidney CrosbyX95.006544839380949991838981707384697116900
2Tyson JostXX100.006041818766808581675265646852518819670
3Samuel GirardX100.006241877956808876306055616552517420650
MOYENNE D'ÉQUIPE99.40704282807285907757636671706358643473
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1John Gibson97.00869597898994909190858463757237850
2Philipp Grubauer100.00807980798991929090797757695137810
Rayé
1Peter Budaj100.00706192807475747373677077743220720
MOYENNE D'ÉQUIPE99.0079789083848785858477776673523179
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice71919487927468CAN5143,000,000$


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'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Matt DucheneCapitalsC/RW60173754-143609086284681525.99%44139723.2910182849235000122103152.10%13786131000.77112000451
2Kevin LabancCapitalsLW/RW60223052-27407864221821259.95%36122020.3491524302101125756046.67%1057118110.8517000315
3Adam HenriqueCapitalsC/LW60222446-1632091661954812311.28%33137422.91812202823420281752347.30%1483817010.67111000321
4Ryan StromeCapitalsC/RW6091726-5240668814244956.34%22104417.413811171860001561048.35%8504411000.5014000120
5Nick FolignoCapitalsC/LW/RW6015924-746010551121467312.40%2498616.4544814186000010155.81%432316000.4912000112
6Colton ParaykoCapitalsD6032023-14220601128851543.41%117174729.13358132550003224120.00%02865000.2600000010
7Sidney CrosbyCapitalsC2712921-11280506112332719.76%2870526.11369111090002903051.59%9753314000.6014000131
8Ryan DonatoCapitalsC/LW6091120-240677316341895.52%1472312.05000170001321154.48%4022816000.5500000010
9Alexander KerfootCapitalsC/LW609817-1320484717646955.11%778013.00000030111810037.50%563613000.4400000001
10Ivan ProvorovCapitalsD6001515-88050636820300.00%79121720.2900051690002154000.00%02445000.2502000101
11Johnny BoychukCapitalsD6021012114058934823274.17%82136122.7011291980111179010.00%01056000.1800000000
12Andy GreeneCapitalsD60369-218057989623293.12%91160726.80325142250001204000.00%01152000.1100000100
13Shayne GostisbehereCapitalsD6018906013397915221.27%3365410.900001300000000.00%01221000.2800000000
14Derek DorsettCapitalsLW/RW60628-8681079548432397.14%1784614.110005101000080022.86%351615000.1912000001
15Nick RitchieCapitalsLW60145020058195326391.89%44277.12000000002480133.33%24174000.2300000001
16Tyler PitlickCapitalsRW60314016026233314149.09%93696.1700000000001031.25%16610000.2200000110
17Miles WoodCapitalsLW/RW60123-13602822328263.12%53866.4500004000000156.52%2349000.1600000000
18Ryan PulockCapitalsD60022110033442710110.00%5268411.4000001000027000.00%0324000.0600000000
19Tyson JostCapitalsC/LW332020408164613214.35%42357.1300000000000042.72%103154000.1700000001
Stats d'équipe Total ou en Moyenne1080137215352-1084881010651119207964211356.59%7011777116.4644711151972132336391571181150.34%4158480441120.40744000161715
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
1John GibsonCapitals602126130.9192.623640801591967816420.714426005105
2Philipp GrubauerCapitals10000.9174.2914001127000.0000060000
Stats d'équipe Total ou en Moyenne612126130.9192.633655801601979823420.7144260605105


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam HenriqueCapitalsC/LW271990-02-06No195 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm4,000,000$4,000,000$974,790$NoLien
Alexander KerfootCapitalsC/LW231994-08-11No175 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$225,420$NoLien
Andy GreeneCapitalsD341982-10-30No190 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$1,218,487$NoLien
Colton ParaykoCapitalsD241993-05-12No230 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm5,500,000$5,500,000$1,340,336$NoLien
Derek DorsettCapitalsLW/RW301986-12-20No192 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,650,000$2,650,000$645,798$NoLien
Ivan ProvorovCapitalsD201997-01-13No201 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm894,166$894,166$217,906$NoLien
John GibsonCapitalsG241993-07-14No223 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm2,300,000$2,300,000$560,504$NoLien
Johnny BoychukCapitalsD331984-01-19No227 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm6,000,000$6,000,000$1,462,185$NoLien
Kevin LabancCapitalsLW/RW211995-12-12No185 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$182,773$NoLien
Matt DucheneCapitalsC/RW261991-01-16No195 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm6,000,000$6,000,000$1,462,185$NoLien
Miles WoodCapitalsLW/RW221995-09-13No195 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm2,750,000$2,750,000$670,168$NoLien
Nick FolignoCapitalsC/LW/RW291987-10-31No202 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm5,500,000$5,500,000$1,340,336$NoLien
Nick RitchieCapitalsLW211995-12-05No234 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm894,167$894,167$217,906$NoLien
Peter BudajCapitalsG351982-09-18No196 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$750,000$182,773$NoLien
Philipp GrubauerCapitalsG251991-11-25No191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm3,333,333$3,333,333$812,325$NoLien
Ryan DonatoCapitalsC/LW211996-04-09 15:25:17No181 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm800,000$800,000$194,958$No
Ryan PulockCapitalsD221994-10-06No214 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm2,000,000$2,000,000$487,395$NoLien
Ryan StromeCapitalsC/RW241993-07-11No194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm3,100,000$3,100,000$755,462$NoLien
Samuel GirardCapitalsD191998-05-12No162 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm750,000$750,000$182,773$NoLien
Shayne GostisbehereCapitalsD241993-04-20No180 Lbs5 ft11NoNoNo5Contrat d'EntréePro & Farm4,500,000$4,500,000$1,096,639$NoLien
Sidney Crosby (Sur la Masse Salariale)CapitalsC301987-08-07No200 Lbs5 ft11NoNoNo7Sans RestrictionPro & Farm8,700,000$8,700,000$2,120,168$NoLien
Tyler PitlickCapitalsRW251991-11-01No200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,000,000$1,000,000$243,697$NoLien
Tyson JostCapitalsC/LW191998-03-14No191 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm885,833$885,833$215,875$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.13198 Lbs6 ft12.262,999,239$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
68,982,499$49,019,166$36,283,333$27,450,000$13,200,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adam HenriqueMatt Duchene40122
2Kevin LabancRyan StromeNick Foligno30122
3Alexander KerfootRyan DonatoDerek Dorsett20122
4Nick RitchieTyler Pitlick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton ParaykoJohnny Boychuk40122
2Ivan ProvorovAndy Greene30122
3Shayne GostisbehereRyan Pulock20122
4Colton ParaykoJohnny Boychuk10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adam HenriqueMatt Duchene60122
2Kevin LabancRyan StromeNick Foligno40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton ParaykoJohnny Boychuk60122
2Ivan ProvorovAndy Greene40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt Duchene60122
2Adam HenriqueKevin Labanc40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton ParaykoJohnny Boychuk60122
2Ivan ProvorovAndy Greene40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Colton ParaykoJohnny Boychuk60122
2Matt Duchene40122Ivan ProvorovAndy Greene40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt Duchene60122
2Adam HenriqueKevin Labanc40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton ParaykoJohnny Boychuk60122
2Ivan ProvorovAndy Greene40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adam HenriqueMatt DucheneColton ParaykoJohnny Boychuk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adam HenriqueMatt DucheneColton ParaykoJohnny Boychuk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Miles Wood, Ryan Donato, Alexander KerfootMiles Wood, Ryan DonatoAlexander Kerfoot
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shayne Gostisbehere, Ryan Pulock, Ivan ProvorovShayne GostisbehereRyan Pulock, Ivan Provorov
Tirs de Pénalité
, Matt Duchene, Adam Henrique, Kevin Labanc, Ryan Strome
Gardien
#1 : John Gibson, #2 : Philipp Grubauer


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche21000010642100000103211100000032141.000681400212165271720669252037700.00%10370.00%0846164851.33%799164148.69%44883253.85%432344183618
2Blackhawks2020000028-61010000013-21010000015-400.00023510020067223411070192232800.00%11281.82%0846164851.33%799164148.69%44883253.85%442541183417
3Blue Jackets40200011711-43010001156-11010000025-330.37571118000511149544746111273122741915.26%11463.64%0846164851.33%799164148.69%44883253.85%945478377639
4Blues1010000012-11010000012-10000000000000.000123001000361613702916619400.00%30100.00%0846164851.33%799164148.69%44883253.85%2314189179
5Bruins2010010048-4000000000002010010048-410.25046100001306818252327628173611218.18%7185.71%0846164851.33%799164148.69%44883253.85%452541183618
6Canadiens512001101012-2200001104403120000068-250.50010152500252215956505241747741812328.70%20480.00%1846164851.33%799164148.69%44883253.85%11366105458644
7Devils623000011317-43110000177031200000610-450.417132235102560210756471218759281243026.67%14192.86%0846164851.33%799164148.69%44883253.85%132751285410454
8Flames2010000137-41000000112-11010000025-310.250347000120641224228642628374250.00%15473.33%0846164851.33%799164148.69%44883253.85%392047203818
9Flyers522000011011-1211000005503110000156-150.500101424006220171715841416958447123417.39%22195.45%0846164851.33%799164148.69%44883253.85%11162107458644
10Golden Knights3110000167-12010000135-21100000032130.5006111700141011639443068731146010220.00%7185.71%0846164851.33%799164148.69%44883253.85%704159275526
11Islanders513001001215-33120000078-12010010057-230.300121830003360178725155016565289233618.18%14285.71%1846164851.33%799164148.69%44883253.85%11670101448344
12Jets21000001431110000003121000000112-130.750481200121177272722863161428600.00%7271.43%0846164851.33%799164148.69%44883253.85%472943183417
13Lightning21000001963210000019630000000000030.75091120002340782817324692324464375.00%12283.33%1846164851.33%799164148.69%44883253.85%432343193818
14Maple Leafs3020010039-61010000013-22010010026-410.16733600210097412927010938225110220.00%11281.82%0846164851.33%799164148.69%44883253.85%613569255025
15Oilers2010000157-21000000123-11010000034-110.2505813000320692023255602332388112.50%16287.50%0846164851.33%799164148.69%44883253.85%371949223717
16Panthers31200000810-2211000006601010000024-220.333814220014309630471909634285013323.08%14471.43%0846164851.33%799164148.69%44883253.85%623564275225
17Penguins641001002217533000000137631100100910-190.75022315300212802187181660201785010727725.93%26580.77%0846164851.33%799164148.69%44883253.85%127731315510251
18Predateurs2110000067-1110000005411010000013-220.5006915000330641030240663020379444.44%10280.00%0846164851.33%799164148.69%44883253.85%412244183417
19Senateurs32100000990220000007341010000026-440.6679172600225097343132010024364512325.00%18572.22%0846164851.33%799164148.69%44883253.85%603366285224
Total60182600538140170-30321210001368377628616004025793-36550.458140215355202759515207972371262560198170149610652614416.86%2484781.05%3846164851.33%799164148.69%44883253.85%131875312865551056532
_Since Last GM Reset60182600538140170-30321210001368377628616004025793-36550.458140215355202759515207972371262560198170149610652614416.86%2484781.05%3846164851.33%799164148.69%44883253.85%131875312865551056532
_Vs Conference44141900524107125-1823107001236455921412004014370-27410.46610716226910224340315215505004642714735153407772053517.07%1693181.66%3846164851.33%799164148.69%44883253.85%970557938402768391
_Vs Division26911002136471-7146500012373341236002012738-11250.4816496160101327231926343301279178492911724681322015.15%871385.06%1846164851.33%799164148.69%44883253.85%582336547237452234

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6055L314021535520791981701496106520
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6018260538140170
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32121001368377
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2861604025793
Derniers 10 Matchs
WLOTWOTL SOWSOL
170110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2614416.86%2484781.05%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
723712625602759515
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
846164851.33%799164148.69%44883253.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
131875312865551056532


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
4 - 2018-10-1214Islanders3Capitals2LSommaire du Match
6 - 2018-10-1427Senateurs2Capitals3WSommaire du Match
9 - 2018-10-1736Capitals3Flyers2WSommaire du Match
11 - 2018-10-1947Capitals4Penguins6LSommaire du Match
13 - 2018-10-2154Penguins2Capitals4WSommaire du Match
16 - 2018-10-2470Capitals2Islanders3LXSommaire du Match
19 - 2018-10-2777Blue Jackets1Capitals2WXXSommaire du Match
20 - 2018-10-2888Capitals2Canadiens5LSommaire du Match
24 - 2018-11-01106Flyers3Capitals2LSommaire du Match
25 - 2018-11-02110Capitals2Blue Jackets5LSommaire du Match
31 - 2018-11-08131Devils3Capitals2LXXSommaire du Match
34 - 2018-11-11144Capitals2Devils1WSommaire du Match
36 - 2018-11-13154Penguins2Capitals3WSommaire du Match
38 - 2018-11-15159Capitals2Bruins5LSommaire du Match
42 - 2018-11-19177Blue Jackets2Capitals1LXXSommaire du Match
46 - 2018-11-23197Predateurs4Capitals5WSommaire du Match
48 - 2018-11-25204Capitals1Predateurs3LSommaire du Match
53 - 2018-11-30223Blackhawks3Capitals1LSommaire du Match
60 - 2018-12-07245Lightning2Capitals6WSommaire du Match
64 - 2018-12-11265Blues2Capitals1LSommaire du Match
67 - 2018-12-14276Capitals3Golden Knights2WSommaire du Match
69 - 2018-12-16285Capitals1Flyers2LSommaire du Match
71 - 2018-12-18291Golden Knights3Capitals2LXXSommaire du Match
75 - 2018-12-22313Islanders4Capitals2LSommaire du Match
81 - 2018-12-28333Capitals3Canadiens1WSommaire du Match
82 - 2018-12-29339Jets1Capitals3WSommaire du Match
86 - 2019-01-02357Capitals1Jets2LXXSommaire du Match
87 - 2019-01-03363Islanders1Capitals3WSommaire du Match
91 - 2019-01-07378Capitals1Flyers2LXXSommaire du Match
93 - 2019-01-09387Flames2Capitals1LXXSommaire du Match
97 - 2019-01-13406Capitals1Penguins2LXSommaire du Match
98 - 2019-01-14411Senateurs1Capitals4WSommaire du Match
104 - 2019-01-20433Golden Knights2Capitals1LSommaire du Match
106 - 2019-01-22440Capitals1Blackhawks5LSommaire du Match
109 - 2019-01-25452Capitals1Maple Leafs4LSommaire du Match
111 - 2019-01-27460Devils2Capitals4WSommaire du Match
113 - 2019-01-29468Capitals2Bruins3LXSommaire du Match
116 - 2019-02-01481Oilers3Capitals2LXXSommaire du Match
122 - 2019-02-07505Panthers5Capitals4LSommaire du Match
124 - 2019-02-09511Capitals3Avalanche2WSommaire du Match
126 - 2019-02-11524Capitals1Maple Leafs2LXSommaire du Match
127 - 2019-02-12531Panthers1Capitals2WSommaire du Match
133 - 2019-02-18553Lightning4Capitals3LXXSommaire du Match
135 - 2019-02-20563Capitals3Oilers4LSommaire du Match
137 - 2019-02-22568Capitals4Penguins2WSommaire du Match
139 - 2019-02-24579Devils2Capitals1LSommaire du Match
144 - 2019-03-01602Canadiens2Capitals3WXXSommaire du Match
146 - 2019-03-03610Capitals1Canadiens2LSommaire du Match
149 - 2019-03-06625Flyers2Capitals3WSommaire du Match
154 - 2019-03-11649Blue Jackets3Capitals2LSommaire du Match
156 - 2019-03-13658Capitals3Devils5LSommaire du Match
160 - 2019-03-17673Avalanche2Capitals3WXXSommaire du Match
161 - 2019-03-18681Capitals1Devils4LSommaire du Match
165 - 2019-03-22697Canadiens2Capitals1LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25708Capitals2Panthers4LSommaire du Match
170 - 2019-03-27714Capitals2Senateurs6LSommaire du Match
171 - 2019-03-28722Penguins3Capitals6WSommaire du Match
175 - 2019-04-01739Capitals2Flames5LSommaire du Match
177 - 2019-04-03745Maple Leafs3Capitals1LSommaire du Match
179 - 2019-04-05759Capitals3Islanders4LSommaire du Match
182 - 2019-04-08769Maple Leafs-Capitals-
185 - 2019-04-11780Capitals-Blue Jackets-
187 - 2019-04-13792Stars-Capitals-
189 - 2019-04-15798Capitals-Ducks-
191 - 2019-04-17805Capitals-Senateurs-
193 - 2019-04-19817Kings-Capitals-
198 - 2019-04-24832Capitals-Islanders-
201 - 2019-04-27840Capitals-Blues-
202 - 2019-04-28846Senateurs-Capitals-
208 - 2019-05-04866Sharks-Capitals-
212 - 2019-05-08884Capitals-Avalanche-
213 - 2019-05-09890Bruins-Capitals-
214 - 2019-05-10896Capitals-Blue Jackets-
217 - 2019-05-13913Bruins-Capitals-
220 - 2019-05-16923Capitals-Sharks-
221 - 2019-05-17928Capitals-Kings-
223 - 2019-05-19937Capitals-Stars-
224 - 2019-05-20939Capitals-Lightning-
227 - 2019-05-23947Flyers-Capitals-
231 - 2019-05-27962Capitals-Panthers-
232 - 2019-05-28965Capitals-Lightning-
236 - 2019-06-01978Ducks-Capitals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets110604030220
Assistance146,814149,71859,915121,67523,407
Attendance PCT76.47%93.57%93.62%95.06%73.15%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 15673 - 87.07% 1,516,759$48,536,287$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
54,277,438$ 68,982,499$ 68,982,499$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
68,982,499$ 52,008,538$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
13,650,831$ 58 302,447$ 17,541,926$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
17,658,890$ 68,982,499$ 4,452,487$ 444,428$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Adam HenriqueAGE:27PO:53OV:75
Kevin LabancAGE:21PO:49OV:74
Nick FolignoAGE:29PO:62OV:73
Ryan DonatoAGE:21PO:85OV:71
Alexander KerfootAGE:23PO:48OV:70
Derek DorsettAGE:30PO:30OV:70
Nick RitchieAGE:21PO:85OV:69
Miles WoodAGE:22PO:61OV:68
Tyson JostAGE:19PO:88OV:67
Sidney CrosbyAGE:30PO:71OV:90
Matt DucheneAGE:26PO:76OV:82
Adam HenriqueAGE:27PO:53OV:75
Ryan StromeAGE:24PO:85OV:74
Nick FolignoAGE:29PO:62OV:73
Ryan DonatoAGE:21PO:85OV:71
Alexander KerfootAGE:23PO:48OV:70
Tyson JostAGE:19PO:88OV:67
Matt DucheneAGE:26PO:76OV:82
Ryan StromeAGE:24PO:85OV:74
Kevin LabancAGE:21PO:49OV:74
Nick FolignoAGE:29PO:62OV:73
Derek DorsettAGE:30PO:30OV:70
Tyler PitlickAGE:25PO:66OV:68
Miles WoodAGE:22PO:61OV:68

Défense #1Défense #2Gardien
Colton ParaykoAGE:24PO:61OV:77
Ivan ProvorovAGE:20PO:87OV:75
Johnny BoychukAGE:33PO:36OV:75
Andy GreeneAGE:34PO:21OV:75
Shayne GostisbehereAGE:24PO:62OV:72
Ryan PulockAGE:22PO:82OV:71
Samuel GirardAGE:19PO:74OV:65
Julius HonkaAGE:21PO:83OV:63
John GibsonAGE:24PO:72OV:85
Philipp GrubauerAGE:25PO:51OV:81
Peter BudajAGE:35PO:32OV:72

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam GaudetteCapitals2015149
Alexandre AlainCapitals201834
Cliff PuCapitals
Connor IngramCapitals
Dante FabbroCapitals201617
Jakub skarekCapitals201882
Logan StanleyCapitals201618
Noah DobsonCapitals20189
Olivier kylingtonCapitals
Olof lindbomCapitals201858
Pierre Olivier JosephCapitals201723
Warren FoegeleCapitals

Choix au Repêchage

Année R1R2R3R4R5
3WSH WSH WSH WSH WSH
4WSH WSH WSH WSH WSH
5WSH WSH WSH WSH WSH
6WSH WSH WSH WSH WSH
7WSH WSH WSH WSH WSH



[2018-10-09 23:36:41] - Peter Budaj was added to Capitals.
[2018-09-25 00:24:26] - Bears hired Dallas Eakin for 400 000 $ for 1 year(s).
[2018-09-25 00:01:52] - Brandon Sutter was released.
[2018-09-25 00:01:52] - Capitals paid 0 $ to release Brandon Sutter.
[2018-09-25 00:01:26] - Antti Niemi was released.
[2018-09-25 00:01:26] - Capitals paid 0 $ to release Antti Niemi.
[2018-09-23 21:30:31] - Ryan Donato was added to Capitals.
[2018-09-23 21:29:46] - Ryan Donato has been deleted from Capitals.
[2018-08-29 20:34:17] - Jakub skarek has been added to Capitals.
[2018-08-29 20:19:52] - Olof lindbom has been added to Capitals.
[2018-08-19 21:49:20] - Alexandre Alain has been added to Capitals.
[2018-08-19 21:31:06] - Noah Dobson has been added to Capitals.
[2018-07-06 22:02:44] - John Anderson contract with Bears has ended.



[2019-02-21 20:00:11] Sidney Crosby from Capitals is back from Exhaustion.
[2019-02-21 19:59:58] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-21 19:59:58] Sidney Crosby from Capitals is injured from Exhaustion.
[2019-02-20 21:03:06] Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-20 20:58:43] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-19 21:53:33] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-15 21:06:44] Both Capitals and Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-14 21:50:05] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-14 00:07:03] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-14 00:06:47] Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-12 22:29:55] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-11 22:52:43] Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-08 21:00:29] Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-08 21:00:01] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-07 21:41:46] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-05 21:07:20] Both Capitals and Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-05 21:05:28] Bears lines for next game are empty. Current rosters/lines are not erased.
[2019-02-04 21:01:27] Capitals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-04 21:01:07] Bears lines for next game are empty. Current rosters/lines are not erased.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
260182600538140170-30321210001368377628616004025793-3655140215355202759515207972371262560198170149610652614416.86%2484781.05%3846164851.33%799164148.69%44883253.85%131875312865551056532
Total Saison Régulière60182600538140170-30321210001368377628616004025793-3655140215355202759515207972371262560198170149610652614416.86%2484781.05%3846164851.33%799164148.69%44883253.85%131875312865551056532