San Jose Sharks

GP: 82 | W: 49 | L: 25 | OTL: 8 | P: 106
GF: 273 | GA: 224 | PP%: 21.88% | PK%: 78.02%
DG: Jean-Sebastien Champagne | Morale : 77 | Moyenne d'Équipe : 81
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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
1John Tavares (C)X100.00725585959195949789939492558890185870
2Blake Wheeler (A)XX100.00925583959393989775998389558884161860
3J.T. MillerXXX100.00895590899090878893878487558278169820
4Alexander SteenXX100.00705583849595978860847696558886180810
5Jordan EberleXX100.00705590908990919060868586558482184810
6Nick BjugstadXX100.00935586839797818683817988558173183800
7Gustav NyquistXX100.00855589898888898664758187557873164790
8Anthony BeauvillierXXX100.00885593897983868470808373557471184770
9Brock NelsonXX100.00675586898888868285727986558080184770
10Cody EakinX100.00785582847878877889727186557986181750
11Kevin LabancXX100.00705577847481858560827176557270184740
12Artturi LehkonenXX100.00795582807681807860677385557271184730
13P.K. SubbanX100.00865578979395979725927698558892181880
14Jaccob Slavin (A)X100.00755599928692969125786899558081181840
15Johnny BoychukX100.00915583879787888325716992558488139820
16David SavardX100.00895587849185918325686491558283184800
17Jamie OleksiakX100.00965571829980808225696687558075177790
18Greg PaterynX100.00935579718086767625696191558076184760
Rayé
MOYENNE D'ÉQUIPE100.0082558587888888865879768855818017780
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
1Connor Hellebuyck100.0096959598959697969597558280181920
2Cam Ward100.0080828379787877707980559496154780
Rayé
MOYENNE D'ÉQUIPE100.008889898987878783878955888816885
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau87868687856844CAN6353,200,000$


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
1John TavaresSan Jose SharksC7838508823155352583379822511.28%31190724.46821297629222493346252.86%290400110.9216001796
2Blake WheelerSan Jose SharksC/RW7724527620695202162281642058.54%20184223.93818266629211252984045.52%14500010.8226010652
3Jordan EberleSan Jose SharksC/LW822245671411534174286772237.69%16165520.19617236028700011072143.29%160300000.8111001341
4Alexander SteenSan Jose SharksLW/RW813332654195821082516917313.15%20165620.451110216124611241907542.02%18800010.7800001545
5Nick BjugstadSan Jose SharksC/RW8024416566152031102366515710.17%21143317.9278154421500031164153.10%56500000.9100100457
6J.T. MillerSan Jose SharksC/LW/RW812436601067151011402257519210.67%16171421.16813215729300031534053.34%86800100.7034012555
7Johnny BoychukSan Jose SharksD81203757-1089517585155369812.90%114181822.4561824662470001197210.00%000000.6300010022
8Jaccob SlavinSan Jose SharksD80114152-72915468913560948.15%108209126.1481523792890002270410.00%000000.5000012131
9P.K. SubbanSan Jose SharksD8184452-511915211124162371034.94%92188323.25412161072650220195110.00%000000.5500201224
10Brock NelsonSan Jose SharksC/LW8219234223120221361815413710.50%15101612.4023514690000242453.28%77700100.8300000304
11Gustav NyquistSan Jose SharksLW/RW74221638537593105146389615.07%9127217.197512281761012251236.81%16300010.6000001611
12Greg PaterynSan Jose SharksD82122638227551344376184115.79%91122114.892131477000053600.00%000000.6200100062
13Jamie OleksiakSan Jose SharksD7563238271035155536424489.38%69136618.222911291930001127000.00%000000.5600001002
14Anthony BeauvillierSan Jose SharksC/LW/RW82152035152957870151341059.93%293311.382689630000263146.02%38900010.7500010202
15David SavardSan Jose SharksD8272734256115935910632636.60%110175221.375611602740110241110.00%000000.3900102112
16Kevin LabancSan Jose SharksLW/RW82620261233546578119737.41%66858.37000000000151130.30%3300000.7600001022
17Artturi LehkonenSan Jose SharksLW/RW824610-620040338511444.71%64735.7700001000000046.15%2600000.4200000011
18Cody EakinSan Jose SharksC80369-427541715815465.17%35466.83000000001481052.47%58700000.3300100001
19Ryan MurphyBarracuda (San)D51123001320250.00%56312.680000000000000.00%000000.6300000000
20Sean KuralyBarracuda (San)RW3000-100101000.00%0196.42000000000000100.00%100000.0000000000
21Scott WilsonBarracuda (San)C3000-200201000.00%0134.470000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne145329955585417487612017951880302082621259.90%7542536517.468616224877032855712322428492149.95%825000350.677176513455050
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
1Connor HellebuyckSan Jose Sharks75462260.9112.6544842219822350500.84219757265
2Cam WardSan Jose Sharks146510.8843.5670800423630000.00001145000
Stats d'équipe Total ou en Moyenne89522770.9082.7751932224025980500.842198652265


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
Alexander SteenSan Jose SharksLW/RW321984-02-29No212 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Anthony BeauvillierSan Jose SharksC/LW/RW191997-06-08No170 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Artturi LehkonenSan Jose SharksLW/RW211995-07-04No174 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$0$No
Blake WheelerSan Jose SharksC/RW301986-08-30No225 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$0$No
Brock NelsonSan Jose SharksC/LW251991-10-14No206 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,000,000$1,000,000$0$No
Cam WardSan Jose SharksG321984-02-29No185 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,500,000$1,500,000$0$No
Cody EakinSan Jose SharksC251991-05-24No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$0$No
Connor HellebuyckSan Jose SharksG231993-05-19No185 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
David SavardSan Jose SharksD261990-10-22No219 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Greg PaterynSan Jose SharksD261990-06-20No222 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$500,000$0$No
Gustav NyquistSan Jose SharksLW/RW271989-09-01No183 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
J.T. MillerSan Jose SharksC/LW/RW231993-03-14No205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$0$No
Jaccob SlavinSan Jose SharksD221994-05-01No200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$0$No
Jamie OleksiakSan Jose SharksD241992-12-21No250 Lbs6 ft7NoNoNo3Avec RestrictionPro & Farm1,979,999$1,979,999$0$No
John TavaresSan Jose SharksC261990-09-20No209 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm6,500,000$6,500,000$0$No
Johnny BoychukSan Jose SharksD321984-01-19No225 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Jordan EberleSan Jose SharksC/LW261990-05-15No183 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm3,490,000$3,490,000$0$No
Kevin LabancSan Jose SharksLW/RW211995-12-12No175 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$0$No
Nick BjugstadSan Jose SharksC/RW241992-07-16No218 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
P.K. SubbanSan Jose SharksD271989-05-12No214 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.55203 Lbs6 ft22.252,398,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,969,999$30,700,000$23,400,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1J.T. MillerJohn TavaresBlake Wheeler40113
2Alexander SteenJordan EberleGustav Nyquist30113
3Brock NelsonNick BjugstadAnthony Beauvillier20122
4Kevin LabancCody EakinArtturi Lehkonen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin40122
2Johnny BoychukDavid Savard30122
3Jamie OleksiakGreg Pateryn20122
4P.K. SubbanJaccob Slavin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1J.T. MillerJohn TavaresBlake Wheeler60014
2Alexander SteenJordan EberleNick Bjugstad40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin60122
2Johnny BoychukDavid Savard40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1John TavaresBlake Wheeler60122
2J.T. MillerAlexander Steen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin60122
2Johnny BoychukDavid Savard40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1John Tavares60122P.K. SubbanJaccob Slavin60122
2Blake Wheeler40122Johnny BoychukDavid Savard40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1John TavaresBlake Wheeler60122
2J.T. MillerAlexander Steen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin60122
2Johnny BoychukDavid Savard40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
J.T. MillerJohn TavaresBlake WheelerP.K. SubbanJaccob Slavin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
J.T. MillerJohn TavaresBlake WheelerP.K. SubbanJaccob Slavin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Nyquist, Brock Nelson, Anthony BeauvillierGustav Nyquist, Brock NelsonAnthony Beauvillier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jamie Oleksiak, Greg Pateryn, Johnny BoychukJamie OleksiakGreg Pateryn, Johnny Boychuk
Tirs de Pénalité
John Tavares, Blake Wheeler, J.T. Miller, Alexander Steen, Jordan Eberle
Gardien
#1 : Connor Hellebuyck, #2 : Cam Ward


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
1Anaheim Ducks402001101015-52020000027-52000011088030.375101727002342129354944412734677127622.22%20765.00%01544308450.06%1462292849.93%603124948.28%1007099294924
2Boston Bruins2100010010731000010034-11100000073430.750101828004330672817202581618399444.44%8275.00%11544308450.06%1462292849.93%603124948.28%483446142512
3Buffalo Sabres22000000954110000005321100000042241.00091625003240672324200661835425240.00%12375.00%01544308450.06%1462292849.93%603124948.28%503644142411
4Calgary Flames402011001114-3201010006602010010058-330.375112132004421144446236211832367123417.39%17382.35%11544308450.06%1462292849.93%603124948.28%1017291294923
5Carolina Hurricanes22000000826110000003211100000050541.00081523012420581421230539164412650.00%80100.00%01544308450.06%1462292849.93%603124948.28%493446132412
6Chicago Blackhawks320010001165210010007341100000043161.000112233004241105313439110121226512325.00%11281.82%01544308450.06%1462292849.93%603124948.28%765565203819
7Colorado Avalanche3110010056-1211000003301000010023-130.50057120002301042428511942320671516.67%10280.00%01544308450.06%1462292849.93%603124948.28%805766213417
8Columbus Blue Jackets211000001174110000008351010000034-120.5001121320034406118222107324523512325.00%11190.91%11544308450.06%1462292849.93%603124948.28%463249142412
9Dallas Stars3120000089-1110000003212020000057-220.33381523004220843923220852926699111.11%13561.54%11544308450.06%1462292849.93%603124948.28%664576223616
10Detroit Red Wings220000001156110000006241100000053241.000112031008030884122250511619319333.33%7185.71%01544308450.06%1462292849.93%603124948.28%523943142411
11Edmonton Oilers53200000161062110000054132100000116560.600162945006280165605550015152479320525.00%21385.71%01544308450.06%1462292849.93%603124948.28%11781119376231
12Florida Panthers22000000945110000005321100000041341.00091524005220662628120601418517457.14%9277.78%11544308450.06%1462292849.93%603124948.28%483446132412
13Los Angeles Kings42000020199102200000013582000002064281.0001932510075531353747481011729267817317.65%10370.00%01544308450.06%1462292849.93%603124948.28%1067590295227
14Minnesota Wild311010001091100010003212110000077040.667101727003241942933293772122471218.33%11372.73%01544308450.06%1462292849.93%603124948.28%765471223719
15Montreal Canadiens22000000826110000003031100000052341.00081523013230662322210572522479111.11%60100.00%01544308450.06%1462292849.93%603124948.28%483447142312
16Nashville Predators301000201091201000106601000001043140.6671015250051221084227377952629627342.86%9366.67%01544308450.06%1462292849.93%603124948.28%775372223919
17New Jersey Devils2110000034-1110000003211010000002-220.500358001110752122320642055401119.09%8187.50%01544308450.06%1462292849.93%603124948.28%473247152412
18New York Islanders2010010047-31010000024-21000010023-110.2504711002200421713111652621468225.00%7271.43%01544308450.06%1462292849.93%603124948.28%453150162714
19New York Rangers21100000651110000004131010000024-220.500612180015005917212105715144610110.00%7271.43%01544308450.06%1462292849.93%603124948.28%493645142412
20Ottawa Senators2110000056-11010000014-31100000042220.50051015001130642224180651316507114.29%8187.50%01544308450.06%1462292849.93%603124948.28%493545132512
21Philadelphia Flyers210001009721000010045-11100000052330.75091726004140892533301581722371119.09%6183.33%01544308450.06%1462292849.93%603124948.28%523947162412
22Phoenix Coyotes431000001798220000009272110000087160.750173148008630137465239011028388916531.25%19573.68%01544308450.06%1462292849.93%603124948.28%976793284924
23Pittsburgh Penguins2020000039-61010000015-41010000024-200.00035800111052141919064251443600.00%7271.43%01544308450.06%1462292849.93%603124948.28%432951142512
24St. Louis Blues31100001810-22010000159-41100000031230.500816240022409631372110931812561000.00%3166.67%01544308450.06%1462292849.93%603124948.28%795767213820
25Tampa Bay Lightning21100000532110000004131010000012-120.5005914002120742024300481221358225.00%8187.50%01544308450.06%1462292849.93%603124948.28%483445142513
26Toronto Maple Leafs22000000853110000003211100000053241.0008142200323010427393805315164911218.18%8187.50%01544308450.06%1462292849.93%603124948.28%614634122313
Total8241250375127322449412212032111321052741191300540141119221060.6462734947670298759210276286994692342245669684116923527721.88%3237178.02%61544308450.06%1462292849.93%603124948.28%2034143619165981023515
28Vancouver Canucks430001001713422000000633210001001110170.875173148003770128324848011534489012541.67%23482.61%01544308450.06%1462292849.93%603124948.28%916197295126
29Vegas Golden Knights422000001012-22110000056-12110000056-140.500102030005230153465057010337358421419.05%15566.67%01544308450.06%1462292849.93%603124948.28%1087882284824
30Washington Capitals2020000009-91010000005-51010000004-400.00000000000046131914078243250500.00%11463.64%01544308450.06%1462292849.93%603124948.28%412853142511
31Winnipeg Jets330000001266110000004132200000085361.000122234002460102243147010023226511327.27%10190.00%11544308450.06%1462292849.93%603124948.28%674474213819
_Since Last GM Reset8241250375127322449412212032111321052741191300540141119221060.6462734947670298759210276286994692342245669684116923527721.88%3237178.02%61544308450.06%1462292849.93%603124948.28%2034143619165981023515
_Vs Conference50221503451164137272512803011775918251070044087789650.6501642954590055445710168452057656838148640745010072124420.75%1924775.52%31544308450.06%1462292849.93%603124948.28%12498771169366625313
_Vs Division2913901330100821814850100046331315540033054495370.638100181281003529326991300363322168412462975761363223.53%1253076.00%11544308450.06%1462292849.93%603124948.28%724507674213363182

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82106W127349476727622456696841169202
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8241253751273224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122123211132105
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4119130540141119
Derniers 10 Matchs
WLOTWOTL SOWSOL
530020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3527721.88%3237178.02%6
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
8699469234298759210
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
1544308450.06%1462292849.93%603124948.28%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2034143619165981023515


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2018-09-051Anaheim Ducks4San Jose Sharks1LSommaire du Match
3 - 2018-09-0716San Jose Sharks3Los Angeles Kings2WXXSommaire du Match
6 - 2018-09-1035San Jose Sharks2New York Islanders3LXSommaire du Match
7 - 2018-09-1140San Jose Sharks5Philadelphia Flyers2WSommaire du Match
9 - 2018-09-1353San Jose Sharks2New York Rangers4LSommaire du Match
11 - 2018-09-1571San Jose Sharks0New Jersey Devils2LSommaire du Match
15 - 2018-09-1995Buffalo Sabres3San Jose Sharks5WSommaire du Match
17 - 2018-09-21110New York Islanders4San Jose Sharks2LSommaire du Match
20 - 2018-09-24127San Jose Sharks4Nashville Predators3WXXSommaire du Match
23 - 2018-09-27144San Jose Sharks5Carolina Hurricanes0WSommaire du Match
25 - 2018-09-29159San Jose Sharks4Anaheim Ducks5LXSommaire du Match
27 - 2018-10-01176New York Rangers1San Jose Sharks4WSommaire du Match
29 - 2018-10-03188Columbus Blue Jackets3San Jose Sharks8WSommaire du Match
31 - 2018-10-05203Philadelphia Flyers5San Jose Sharks4LXSommaire du Match
34 - 2018-10-08220Minnesota Wild2San Jose Sharks3WXSommaire du Match
36 - 2018-10-10229San Jose Sharks2Dallas Stars3LSommaire du Match
37 - 2018-10-11238San Jose Sharks3St. Louis Blues1WSommaire du Match
39 - 2018-10-13256Calgary Flames3San Jose Sharks4WXSommaire du Match
41 - 2018-10-15272Nashville Predators4San Jose Sharks3LSommaire du Match
43 - 2018-10-17285Toronto Maple Leafs2San Jose Sharks3WSommaire du Match
45 - 2018-10-19301St. Louis Blues4San Jose Sharks3LXXSommaire du Match
48 - 2018-10-22317Edmonton Oilers1San Jose Sharks3WSommaire du Match
50 - 2018-10-24342Vancouver Canucks1San Jose Sharks2WSommaire du Match
51 - 2018-10-25357San Jose Sharks1Vegas Golden Knights4LSommaire du Match
54 - 2018-10-28367San Jose Sharks4Buffalo Sabres2WSommaire du Match
55 - 2018-10-29381San Jose Sharks5Toronto Maple Leafs3WSommaire du Match
58 - 2018-11-01404San Jose Sharks4Ottawa Senators2WSommaire du Match
59 - 2018-11-02410San Jose Sharks5Montreal Canadiens2WSommaire du Match
62 - 2018-11-05427Carolina Hurricanes2San Jose Sharks3WSommaire du Match
64 - 2018-11-07441San Jose Sharks3Dallas Stars4LSommaire du Match
65 - 2018-11-08444San Jose Sharks4Phoenix Coyotes5LSommaire du Match
67 - 2018-11-10463New Jersey Devils2San Jose Sharks3WSommaire du Match
70 - 2018-11-13484Dallas Stars2San Jose Sharks3WSommaire du Match
73 - 2018-11-16507San Jose Sharks4Chicago Blackhawks3WSommaire du Match
75 - 2018-11-18523San Jose Sharks6Minnesota Wild4WSommaire du Match
77 - 2018-11-20538Winnipeg Jets1San Jose Sharks4WSommaire du Match
79 - 2018-11-22555Los Angeles Kings1San Jose Sharks4WSommaire du Match
80 - 2018-11-23564Phoenix Coyotes1San Jose Sharks5WSommaire du Match
81 - 2018-11-24574Anaheim Ducks3San Jose Sharks1LSommaire du Match
83 - 2018-11-26588San Jose Sharks4Edmonton Oilers2WSommaire du Match
85 - 2018-11-28603San Jose Sharks1Calgary Flames2LXSommaire du Match
87 - 2018-11-30616San Jose Sharks2Colorado Avalanche3LXSommaire du Match
90 - 2018-12-03642Tampa Bay Lightning1San Jose Sharks4WSommaire du Match
92 - 2018-12-05655Los Angeles Kings4San Jose Sharks9WSommaire du Match
93 - 2018-12-06662Edmonton Oilers3San Jose Sharks2LSommaire du Match
95 - 2018-12-08682San Jose Sharks4Vegas Golden Knights2WSommaire du Match
97 - 2018-12-10696Ottawa Senators4San Jose Sharks1LSommaire du Match
100 - 2018-12-13719Pittsburgh Penguins5San Jose Sharks1LSommaire du Match
101 - 2018-12-14721San Jose Sharks4Phoenix Coyotes2WSommaire du Match
104 - 2018-12-17749San Jose Sharks1Tampa Bay Lightning2LSommaire du Match
106 - 2018-12-19757San Jose Sharks4Florida Panthers1WSommaire du Match
107 - 2018-12-20764San Jose Sharks0Washington Capitals4LSommaire du Match
114 - 2018-12-27799Phoenix Coyotes1San Jose Sharks4WSommaire du Match
117 - 2018-12-30819San Jose Sharks3Winnipeg Jets1WSommaire du Match
119 - 2019-01-01825San Jose Sharks4Calgary Flames6LSommaire du Match
121 - 2019-01-03841San Jose Sharks6Edmonton Oilers2WSommaire du Match
123 - 2019-01-05861San Jose Sharks4Vancouver Canucks5LXSommaire du Match
126 - 2019-01-08884Washington Capitals5San Jose Sharks0LSommaire du Match
128 - 2019-01-10900Vancouver Canucks2San Jose Sharks4WSommaire du Match
130 - 2019-01-12915Boston Bruins4San Jose Sharks3LXSommaire du Match
133 - 2019-01-15936San Jose Sharks2Pittsburgh Penguins4LSommaire du Match
135 - 2019-01-17946San Jose Sharks3Columbus Blue Jackets4LSommaire du Match
136 - 2019-01-18958San Jose Sharks5Detroit Red Wings3WSommaire du Match
138 - 2019-01-20969San Jose Sharks7Boston Bruins3WSommaire du Match
141 - 2019-01-23997Colorado Avalanche2San Jose Sharks1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251015Chicago Blackhawks2San Jose Sharks3WXSommaire du Match
147 - 2019-01-291042Montreal Canadiens0San Jose Sharks3WSommaire du Match
149 - 2019-01-311057St. Louis Blues5San Jose Sharks2LSommaire du Match
151 - 2019-02-021068San Jose Sharks1Minnesota Wild3LSommaire du Match
152 - 2019-02-031079San Jose Sharks5Winnipeg Jets4WSommaire du Match
154 - 2019-02-051091Florida Panthers3San Jose Sharks5WSommaire du Match
156 - 2019-02-071108Nashville Predators2San Jose Sharks3WXXSommaire du Match
158 - 2019-02-091120Vegas Golden Knights4San Jose Sharks1LSommaire du Match
161 - 2019-02-121142San Jose Sharks3Los Angeles Kings2WXXSommaire du Match
162 - 2019-02-131148San Jose Sharks4Anaheim Ducks3WXXSommaire du Match
165 - 2019-02-161173Detroit Red Wings2San Jose Sharks6WSommaire du Match
168 - 2019-02-191194Chicago Blackhawks1San Jose Sharks4WSommaire du Match
170 - 2019-02-211211Vegas Golden Knights2San Jose Sharks4WSommaire du Match
171 - 2019-02-221220Calgary Flames3San Jose Sharks2LSommaire du Match
173 - 2019-02-241238San Jose Sharks7Vancouver Canucks5WSommaire du Match
175 - 2019-02-261245San Jose Sharks1Edmonton Oilers2LSommaire du Match
177 - 2019-02-281269Colorado Avalanche1San Jose Sharks2WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance237,213197,22079,167157,58639,076
Attendance PCT96.43%96.20%96.55%96.09%95.31%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17323 - 96.24% 1,082,025$44,363,039$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
49,291,580$ 47,969,999$ 27,524,999$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
47,969,999$ 45,973,622$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 289,096$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 47,969,999$ 80,422,591$ 80,422,591$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
J.T. MillerAGE:23PO:1OV:82
Alexander SteenAGE:32PO:1OV:81
Jordan EberleAGE:26PO:1OV:81
Gustav NyquistAGE:27PO:1OV:79
Anthony BeauvillierAGE:19PO:1OV:77
Brock NelsonAGE:25PO:1OV:77
Kevin LabancAGE:21PO:1OV:74
Artturi LehkonenAGE:21PO:1OV:73
Lawson CrouseAGE:19PO:1OV:66
Jayson MegnaAGE:26PO:1OV:61
Michael BournivalAGE:24PO:1OV:60
*Henrik HaapalaAGE:22PO:1OV:59
Christian ThomasAGE:24PO:1OV:54
*Graham KnottAGE:20PO:1OV:53
John TavaresAGE:26PO:1OV:87
Blake WheelerAGE:30PO:1OV:86
J.T. MillerAGE:23PO:1OV:82
Jordan EberleAGE:26PO:1OV:81
Nick BjugstadAGE:24PO:1OV:80
Anthony BeauvillierAGE:19PO:1OV:77
Brock NelsonAGE:25PO:1OV:77
Cody EakinAGE:25PO:1OV:75
Scott WilsonAGE:24PO:1OV:69
Christopher DidomenicoAGE:27PO:1OV:67
*Filip ChytilAGE:17PO:1OV:61
Colby CaveAGE:22PO:1OV:60
Gabriel DumontAGE:26PO:1OV:60
Ryan CraigAGE:35PO:1OV:58
*Brady VailAGE:22PO:1OV:57
Caleb HerbertAGE:25PO:1OV:57
*Jakob Forsbacka KarlssonAGE:20PO:1OV:55
Blake WheelerAGE:30PO:1OV:86
J.T. MillerAGE:23PO:1OV:82
Alexander SteenAGE:32PO:1OV:81
Nick BjugstadAGE:24PO:1OV:80
Gustav NyquistAGE:27PO:1OV:79
Anthony BeauvillierAGE:19PO:1OV:77
Kevin LabancAGE:21PO:1OV:74
Artturi LehkonenAGE:21PO:1OV:73
Dale WeiseAGE:28PO:1OV:69
Sean KuralyAGE:23PO:1OV:68
Chris NeilAGE:37PO:1OV:61
Zack MitchellAGE:24PO:1OV:58
Francis BeauvillierAGE:23PO:1OV:57
Petr StrakaAGE:24PO:1OV:56
Emerson EtemAGE:24PO:1OV:54
*Jeremy BraccoAGE:19PO:1OV:52

Défense #1Défense #2Gardien
P.K. SubbanAGE:27PO:1OV:88
Jaccob SlavinAGE:22PO:1OV:84
Johnny BoychukAGE:32PO:1OV:82
David SavardAGE:26PO:1OV:80
Jamie OleksiakAGE:24PO:1OV:79
Greg PaterynAGE:26PO:1OV:76
Ryan MurphyAGE:23PO:1OV:69
Anthony BitettoAGE:26PO:1OV:67
Jaycob MegnaAGE:24PO:1OV:67
Tim HeedAGE:25PO:1OV:67
Alex GrantAGE:27PO:1OV:60
Dylan McIlrathAGE:24PO:1OV:58
Korbinian HolzerAGE:28PO:1OV:56
Eric GelinasAGE:25PO:1OV:56
Joey LaLeggiaAGE:24PO:1OV:54
*Bryce AneloskiAGE:26PO:1OV:54
Connor HellebuyckAGE:23PO:1OV:92
Cam WardAGE:32PO:1OV:78
Nick EllisAGE:22PO:1OV:69
Laurent BrossoitAGE:23PO:1OV:68
Jon GilliesAGE:22PO:1OV:66
Matt HackettAGE:26PO:1OV:61

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
Cameron ClarkeSan Jose Sharks12177
Collin AdamsSan Jose Sharks12147
Connor HallSan Jose Sharks12178
Daniel BukacSan Jose Sharks13186
Dylan SambergSan Jose Sharks1345
Jonas RondbjergSan Jose Sharks13121
Kieffer BellowsSan Jose Sharks1227
Logan BrownSan Jose Sharks1224
Maksim ZhukovSan Jose Sharks1392
Michael DipietroSan Jose Sharks1348
Michael KarowSan Jose Sharks13167
Ostap SafinSan Jose Sharks1372
Tyler SoySan Jose Sharks12117

Choix au Repêchage

Année R1R2R3R4R5R6
14NYI San Was San San Cal
15San San San San San San
16San San San San San San
17San San San San Los San San
18San San San Tor San Tor San



[2019-02-19 14:57:17] - TRADE : From San Jose Sharks to Phoenix Coyotes : Sven Baertschi (74), Y:18-RND:4-San.
[2019-02-19 14:57:17] - TRADE : From Phoenix Coyotes to San Jose Sharks : Alexander Steen (81).
[2019-02-07 10:18:45] - TRADE : From Toronto Maple Leafs to San Jose Sharks : Y:18-RND:3-Tor, Y:17-RND:4-Los, Y:18-RND:5-Tor.
[2019-02-07 10:18:45] - TRADE : From San Jose Sharks to Toronto Maple Leafs : Petr Mrazek (76).
[2019-02-03 22:06:14] - TRADE : From San Jose Sharks to Calgary Flames : Adam Erne (62), Ty Rattie (66), Mark Barberio (73), Joe Morrow (71), Y:14-RND:2-San.
[2019-02-03 22:06:14] - TRADE : From Calgary Flames to San Jose Sharks : Johnny Boychuk (81).
[2019-02-03 22:04:53] - TRADE : From Phoenix Coyotes to San Jose Sharks : Cam Ward (77).
[2019-01-09 18:14:28] - TRADE : From San Jose Sharks to Edmonton Oilers : Bobby Ryan (78), Y:14-RND:1-Edm.
[2019-01-09 18:14:28] - TRADE : From Edmonton Oilers to San Jose Sharks : Nick Bjugstad (80).
[2018-12-05 11:00:17] - TRADE : From Nashville Predators to San Jose Sharks : J.T. Miller (81).
[2018-12-05 11:00:17] - TRADE : From San Jose Sharks to Nashville Predators : Anders Lee (81), Y:14-RND:4-San, Y:14-RND:6-San.
[2018-11-28 09:32:05] - New Record for Team's Most Shots (62) in 1 Game for San Jose Sharks!
[2018-09-29 10:56:33] - Team Name Change : Worchester Sharks changed name to Barracuda



[2019-04-02 08:21:05] Alexander Steen from San Jose Sharks has scored a Hat Trick!
[2019-03-25 07:49:19] Auto Lines Partial Function has been run for Barracuda.
[2019-03-25 07:49:18] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.6.6
[2019-03-24 10:30:22] Dylan McIlrath from Barracuda is back from Right Wrist Injury.
[2019-03-22 05:24:40] Johnny Boychuk from San Jose Sharks is back from Right Knee Injury.
[2019-03-22 05:24:40] Game 1148 - Johnny Boychuk from San Jose Sharks is injured (Right Knee) and is out for 3 days.
[2019-03-20 05:18:22] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.6.6
[2019-03-20 05:18:20] Scott Wilson of San Jose Sharks was sent down to farm.
[2019-03-16 09:22:24] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.6.6
[2019-03-15 05:22:10] Auto Lines Partial Function has been run for Barracuda.
[2019-03-14 08:42:38] Gustav Nyquist from San Jose Sharks is back from Strained Right Knee Injury.
[2019-03-14 08:42:38] Last 7 Days Farm Star : 1 - Lance Bouma of Devils (4-1-5) / 2 - Nicholas Baptiste of Wild (6-1-7) / 3 - Jaycob Megna of Barracuda (1-6-7)
[2019-03-14 08:40:28] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.6.6
[2019-03-14 08:40:28] Scott Wilson of San Jose Sharks was sent to pro.
[2019-03-12 08:47:01] Game 1079 - Gustav Nyquist from San Jose Sharks is injured (Strained Right Knee) and is out for 5 days.
[2019-03-12 08:46:07] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.6.6
[2019-03-12 08:46:06] Ryan Murphy of San Jose Sharks was sent down to farm.
[2019-03-10 05:41:00] Last 30 Days Farm Star : 1 - Scott Wilson of Barracuda (9-16-25) / 2 - Curtis McKenzie of Bruins (6-10-16) / 3 - Michael Leighton of Bruins (0,955)
[2019-03-10 05:40:26] Auto Lines Partial Function has been run for Barracuda.
[2019-03-10 05:40:26] Auto Roster Farm Only Function has been run for San Jose Sharks.
[2019-03-09 05:40:17] Jamie Oleksiak from San Jose Sharks is back from Right Eye Injury.
[2019-03-07 10:23:34] Last 7 Days Farm Star : 1 - Dale Weise of Barracuda (4-5-9) / 2 - Tim Heed of Barracuda (4-5-9) / 3 - Austin Czarnik of Crunch (3-4-7)
[2019-03-07 10:23:32] Game 849 - Dylan McIlrath from Barracuda is injured (Right Wrist) and is out for 2 weeks.
[2019-03-02 14:06:41] Dale Weise from Barracuda has scored a Hat Trick!
[2019-03-02 14:05:43] Auto Lines Partial Function has been run for Barracuda.
[2019-03-02 14:05:43] Auto Roster Farm Only Function has been run for San Jose Sharks.



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
138241250375127322449412212032111321052741191300540141119221062734947670298759210276286994692342245669684116923527721.88%3237178.02%61544308450.06%1462292849.93%603124948.28%2034143619165981023515
Total Saison Régulière8241250375127322449412212032111321052741191300540141119221062734947670298759210276286994692342245669684116923527721.88%3237178.02%61544308450.06%1462292849.93%603124948.28%2034143619165981023515
Séries
12734000002327-4321000001073413000001320-762340630096802228476620247715113927414.81%23578.26%111325544.31%10524642.68%5111843.22%159109170509043
12734000002327-4321000001073413000001320-762340630096802228476620247715113927414.81%23578.26%111325544.31%10524642.68%5111843.22%159109170509043
Total Séries1468000004654-86420000020146826000002640-14124680126001812160444168152124049414210227854814.81%461078.26%222651044.31%21049242.68%10223643.22%31821934110018086