San Jose Sharks

GP: 6 | W: 2 | L: 3 | OTL: 1 | P: 5
GF: 13 | GA: 17 | PP%: 3.85% | PK%: 60.00%
DG: Jean-Sebastien Champagne | Morale : 47 | Moyenne d'Équipe : N/A
Prochain matchs #95 vs Buffalo Sabres
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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
1Anders LeeXX100.0098558390848486916478958555807614800
2Kevin LabancXX100.0070557784748185856082717655727014800
3Artturi LehkonenXX100.0079558280768180786067738555727114800
4Anthony BeauvillierXXX100.0088559389798386847080837355747114800
5Brock NelsonXX100.0067558689888886828572798655808014800
6Gustav NyquistXX100.0085558989888889866475818755787314800
7Blake Wheeler (A)XX100.0092558395939398977599838955888414800
8Cody EakinX100.0078558284787887788972718655798614800
9John Tavares (C)X100.0072558595919594978993949255889014800
10Jordan EberleXX100.0070559090899091906086858655848214800
11Bobby RyanXX100.0096558783929287856482747955826914800
12Sven BaertschiXX100.0063558187787882815076797555757414800
13Jaccob Slavin (A)X100.0075559992869296912578689955808114800
14Greg PaterynX100.0093557971808676762569619155807614800
15Jamie OleksiakX100.0096557182998080822569668755807514800
16Mark BarberioX100.0073557577838182772570657555787614800
17David SavardX100.0089558784918591832568649155828314800
18P.K. SubbanX100.0086557897939597972592769855889214900
Rayé
MOYENNE D'ÉQUIPE100.008255848786868786547876865580781480
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
1Petr Mrazek100.007870707185757482818455797714800
2Connor Hellebuyck100.009695959895969796959755828014700
Rayé
MOYENNE D'ÉQUIPE100.00878383859086868988915581791480
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
1Gustav NyquistSan Jose SharksLW/RW6314260610222813.64%311118.54011423000000050.00%800000.7200000200
2Greg PaterynSan Jose SharksD61342209542325.00%108313.960000000000000.00%000000.9600000010
3Bobby RyanSan Jose SharksLW/RW6224220108135715.38%111118.55101823000000037.50%800000.7200000010
4John TavaresSan Jose SharksC63032002252891210.71%214824.820007260001271052.94%23800000.4001000101
5Kevin LabancSan Jose SharksLW/RW6022020287480.00%16911.5400000000000033.33%600000.5800000000
6Anthony BeauvillierSan Jose SharksC/LW/RW61121406811389.09%07111.8800000000000033.33%1200000.5600000000
7Brock NelsonSan Jose SharksC/LW611200031189812.50%26911.6100000000000050.00%7600000.5700000001
8Jaccob SlavinSan Jose SharksD6022-200367530.00%815926.65000624000019000.00%000000.2500000000
9Blake WheelerSan Jose SharksC/RW6022240101821490.00%314424.130003260000220040.00%500000.2801000000
10Jamie OleksiakSan Jose SharksD60222801513040.00%1012320.54011224000014000.00%000000.3200000000
11David SavardSan Jose SharksD6022200739430.00%612520.99000724000017000.00%000000.3200000000
12Jordan EberleSan Jose SharksC/LW6022200211154130.00%211919.88000223000070045.00%14000000.3411000000
13P.K. SubbanSan Jose SharksD6022-115517615180.00%1115125.170001225000014000.00%000000.2600001000
14Cody EakinSan Jose SharksC6101-2002540225.00%0294.9400000000040046.88%3200000.6700000000
15Anders LeeSan Jose SharksLW/RW6000240141218780.00%113422.41000926000090047.83%2300000.0001000000
16Artturi LehkonenSan Jose SharksLW/RW6000-240212120.00%2254.300000000000000.00%100000.0000000000
17Mark BarberioSan Jose SharksD6000200411100.00%48614.400000000006000.00%000000.0000000000
18Sven BaertschiSan Jose SharksLW/RW6000-200034010.00%0254.1700000000000025.00%400000.0000000000
Stats d'équipe Total ou en Moyenne10812223412515114142192611076.25%66179116.581236024900011461048.64%55300000.3814001322
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 Sharks52210.9152.9130900151760001.000451010
2Petr MrazekSan Jose Sharks10100.9332.0060002300000.000015000
Stats d'équipe Total ou en Moyenne62310.9172.7636900172060001.000466010


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Anders LeeSan Jose SharksLW/RW261990-07-02No227 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Anthony BeauvillierSan Jose SharksC/LW/RW191997-06-08No170 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$
Artturi LehkonenSan Jose SharksLW/RW211995-07-04No174 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$463,277$No500,000$500,000$
Blake WheelerSan Jose SharksC/RW301986-08-30No225 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$6,022,599$No6,500,000$6,500,000$
Bobby RyanSan Jose SharksLW/RW291987-03-16No207 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Brock NelsonSan Jose SharksC/LW251991-10-14No206 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$1,000,000$
Cody EakinSan Jose SharksC251991-05-24No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No
Connor HellebuyckSan Jose SharksG231993-05-19No185 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$300,000$277,966$No
David SavardSan Jose SharksD261990-10-22No219 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No
Greg PaterynSan Jose SharksD261990-06-20No222 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$500,000$463,277$No500,000$500,000$
Gustav NyquistSan Jose SharksLW/RW271989-09-01No183 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$2,500,000$
Jaccob SlavinSan Jose SharksD221994-05-01No200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$277,966$No300,000$
Jamie OleksiakSan Jose SharksD241992-12-21No250 Lbs6 ft7NoNoNo3Avec RestrictionPro & Farm1,979,999$1,979,999$1,834,575$No
John TavaresSan Jose SharksC261990-09-20No209 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm6,500,000$6,500,000$6,022,599$No
Jordan EberleSan Jose SharksC/LW261990-05-15No183 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm3,490,000$3,490,000$3,233,672$No
Kevin LabancSan Jose SharksLW/RW211995-12-12No175 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$463,277$No500,000$500,000$
Mark BarberioSan Jose SharksD261990-03-22No199 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$500,000$463,277$No
P.K. SubbanSan Jose SharksD271989-05-12No214 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Petr MrazekSan Jose SharksG241992-02-13No183 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$2,500,000$
Sven BaertschiSan Jose SharksLW/RW241992-10-04No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$2,500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2024.85201 Lbs6 ft12.152,298,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
45,969,999$22,700,000$22,400,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeJohn TavaresBlake Wheeler40014
2Gustav NyquistJordan EberleBobby Ryan33122
3Anthony BeauvillierBrock NelsonKevin Labanc20122
4Sven BaertschiCody EakinArtturi Lehkonen7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin40122
2David SavardJamie Oleksiak30122
3Greg PaterynMark Barberio20122
4P.K. SubbanJaccob Slavin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeJohn TavaresBlake Wheeler60122
2Gustav NyquistJordan EberleBobby Ryan40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin60122
2David SavardJamie Oleksiak40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1John TavaresBlake Wheeler60122
2Anders LeeJordan Eberle40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin60122
2David SavardJamie Oleksiak40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1John Tavares60122P.K. SubbanJaccob Slavin60122
2Blake Wheeler40122David SavardJamie Oleksiak40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1John TavaresBlake Wheeler60122
2Anders LeeJordan Eberle40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanJaccob Slavin60122
2David SavardJamie Oleksiak40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeJohn TavaresBlake WheelerP.K. SubbanJaccob Slavin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeJohn TavaresBlake WheelerP.K. SubbanJaccob Slavin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brock Nelson, Anthony Beauvillier, Cody EakinBrock Nelson, Anthony BeauvillierCody Eakin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Greg Pateryn, Mark Barberio, David SavardGreg PaterynMark Barberio, David Savard
Tirs de Pénalité
John Tavares, Blake Wheeler, Anders Lee, Jordan Eberle, Gustav Nyquist
Gardien
#1 : Petr Mrazek, #2 : Connor Hellebuyck


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 Ducks1010000014-31010000014-30000000000000.000123000100337188036111418500.00%7357.14%010221048.57%12524151.87%429345.16%2013277115
2Los Angeles Kings10000010321000000000001000001032121.00033600200132128115347622000.00%020.00%010221048.57%12524151.87%429345.16%2518256137
3New Jersey Devils1010000002-2000000000001010000002-200.0000000000004010131703011621700.00%3166.67%010221048.57%12524151.87%429345.16%2215248126
4New York Islanders1000010023-1000000000001000010023-110.500246002000221047138188163133.33%4175.00%010221048.57%12524151.87%429345.16%2114288146
5New York Rangers1010000024-2000000000001010000024-200.0002460011002410590399821600.00%4175.00%010221048.57%12524151.87%429345.16%2115267125
6Philadelphia Flyers11000000523000000000001100000052321.00059140040104112161302910916500.00%20100.00%010221048.57%12524151.87%429345.16%2519227116
Total613001101317-41010000014-3512001101213-150.417132235009211192616465620666511142613.85%20860.00%010221048.57%12524151.87%429345.16%13796155467637
_Since Last GM Reset613001101317-41010000014-3512001101213-150.417132235009211192616465620666511142613.85%20860.00%010221048.57%12524151.87%429345.16%13796155467637
_Vs Conference2010001046-21010000014-31000001032120.50045900210165192619570182040500.00%7528.57%010221048.57%12524151.87%429345.16%463253142512
_Vs Division2010001046-21010000014-31000001032120.50045900210165192619570182040500.00%7528.57%010221048.57%12524151.87%429345.16%463253142512

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
65L2132235192206665111400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
61301101317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000014
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
51201101213
Derniers 10 Matchs
WLOTWOTL SOWSOL
130110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2613.85%20860.00%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
61646569211
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
10221048.57%12524151.87%429345.16%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13796155467637


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 Sabres-San Jose Sharks-
17 - 2018-09-21110New York Islanders-San Jose Sharks-
20 - 2018-09-24127San Jose Sharks-Nashville Predators-
23 - 2018-09-27144San Jose Sharks-Carolina Hurricanes-
25 - 2018-09-29159San Jose Sharks-Anaheim Ducks-
27 - 2018-10-01176New York Rangers-San Jose Sharks-
29 - 2018-10-03188Columbus Blue Jackets-San Jose Sharks-
31 - 2018-10-05203Philadelphia Flyers-San Jose Sharks-
34 - 2018-10-08220Minnesota Wild-San Jose Sharks-
36 - 2018-10-10229San Jose Sharks-Dallas Stars-
37 - 2018-10-11238San Jose Sharks-St. Louis Blues-
39 - 2018-10-13256Calgary Flames-San Jose Sharks-
41 - 2018-10-15272Nashville Predators-San Jose Sharks-
43 - 2018-10-17285Toronto Maple Leafs-San Jose Sharks-
45 - 2018-10-19301St. Louis Blues-San Jose Sharks-
48 - 2018-10-22317Edmonton Oilers-San Jose Sharks-
50 - 2018-10-24342Vancouver Canucks-San Jose Sharks-
51 - 2018-10-25357San Jose Sharks-Vegas Golden Knights-
54 - 2018-10-28367San Jose Sharks-Buffalo Sabres-
55 - 2018-10-29381San Jose Sharks-Toronto Maple Leafs-
58 - 2018-11-01404San Jose Sharks-Ottawa Senators-
59 - 2018-11-02410San Jose Sharks-Montreal Canadiens-
62 - 2018-11-05427Carolina Hurricanes-San Jose Sharks-
64 - 2018-11-07441San Jose Sharks-Dallas Stars-
65 - 2018-11-08444San Jose Sharks-Phoenix Coyotes-
67 - 2018-11-10463New Jersey Devils-San Jose Sharks-
70 - 2018-11-13484Dallas Stars-San Jose Sharks-
73 - 2018-11-16507San Jose Sharks-Chicago Blackhawks-
75 - 2018-11-18523San Jose Sharks-Minnesota Wild-
77 - 2018-11-20538Winnipeg Jets-San Jose Sharks-
79 - 2018-11-22555Los Angeles Kings-San Jose Sharks-
80 - 2018-11-23564Phoenix Coyotes-San Jose Sharks-
81 - 2018-11-24574Anaheim Ducks-San Jose Sharks-
83 - 2018-11-26588San Jose Sharks-Edmonton Oilers-
85 - 2018-11-28603San Jose Sharks-Calgary Flames-
87 - 2018-11-30616San Jose Sharks-Colorado Avalanche-
90 - 2018-12-03642Tampa Bay Lightning-San Jose Sharks-
92 - 2018-12-05655Los Angeles Kings-San Jose Sharks-
93 - 2018-12-06662Edmonton Oilers-San Jose Sharks-
95 - 2018-12-08682San Jose Sharks-Vegas Golden Knights-
97 - 2018-12-10696Ottawa Senators-San Jose Sharks-
100 - 2018-12-13719Pittsburgh Penguins-San Jose Sharks-
101 - 2018-12-14721San Jose Sharks-Phoenix Coyotes-
104 - 2018-12-17749San Jose Sharks-Tampa Bay Lightning-
106 - 2018-12-19757San Jose Sharks-Florida Panthers-
107 - 2018-12-20764San Jose Sharks-Washington Capitals-
114 - 2018-12-27799Phoenix Coyotes-San Jose Sharks-
117 - 2018-12-30819San Jose Sharks-Winnipeg Jets-
119 - 2019-01-01825San Jose Sharks-Calgary Flames-
121 - 2019-01-03841San Jose Sharks-Edmonton Oilers-
123 - 2019-01-05861San Jose Sharks-Vancouver Canucks-
126 - 2019-01-08884Washington Capitals-San Jose Sharks-
128 - 2019-01-10900Vancouver Canucks-San Jose Sharks-
130 - 2019-01-12915Boston Bruins-San Jose Sharks-
133 - 2019-01-15936San Jose Sharks-Pittsburgh Penguins-
135 - 2019-01-17946San Jose Sharks-Columbus Blue Jackets-
136 - 2019-01-18958San Jose Sharks-Detroit Red Wings-
138 - 2019-01-20969San Jose Sharks-Boston Bruins-
141 - 2019-01-23997Colorado Avalanche-San Jose Sharks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251015Chicago Blackhawks-San Jose Sharks-
147 - 2019-01-291042Montreal Canadiens-San Jose Sharks-
149 - 2019-01-311057St. Louis Blues-San Jose Sharks-
151 - 2019-02-021068San Jose Sharks-Minnesota Wild-
152 - 2019-02-031079San Jose Sharks-Winnipeg Jets-
154 - 2019-02-051091Florida Panthers-San Jose Sharks-
156 - 2019-02-071108Nashville Predators-San Jose Sharks-
158 - 2019-02-091120Vegas Golden Knights-San Jose Sharks-
161 - 2019-02-121142San Jose Sharks-Los Angeles Kings-
162 - 2019-02-131148San Jose Sharks-Anaheim Ducks-
165 - 2019-02-161173Detroit Red Wings-San Jose Sharks-
168 - 2019-02-191194Chicago Blackhawks-San Jose Sharks-
170 - 2019-02-211211Vegas Golden Knights-San Jose Sharks-
171 - 2019-02-221220Calgary Flames-San Jose Sharks-
173 - 2019-02-241238San Jose Sharks-Vancouver Canucks-
175 - 2019-02-261245San Jose Sharks-Edmonton Oilers-
177 - 2019-02-281269Colorado Avalanche-San Jose Sharks-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance5,5714,4651,9843,799953
Attendance PCT92.85%89.30%99.20%94.98%95.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 16772 - 93.18% 1,044,918$1,044,918$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
3,611,361$ 45,969,999$ 21,024,999$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
45,969,999$ 3,374,639$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
41,796,720$ 164 277,797$ 45,558,708$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
45,819,529$ 45,969,999$ 83,029,307$ 79,006,498$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Adam ErneAGE:21PO:1OV:0
Anders LeeAGE:26PO:1OV:0
Kevin LabancAGE:21PO:1OV:0
Artturi LehkonenAGE:21PO:1OV:0
Anthony BeauvillierAGE:19PO:1OV:0
Brock NelsonAGE:25PO:1OV:0
Lawson CrouseAGE:19PO:1OV:0
*Henrik HaapalaAGE:22PO:1OV:0
Gustav NyquistAGE:27PO:1OV:0
Christian ThomasAGE:24PO:1OV:0
*Graham KnottAGE:20PO:1OV:0
Jayson MegnaAGE:26PO:1OV:0
Michael BournivalAGE:24PO:1OV:0
Jordan EberleAGE:26PO:1OV:0
Bobby RyanAGE:29PO:1OV:0
Sven BaertschiAGE:24PO:1OV:0
Christopher DidomenicoAGE:27PO:1OV:0
Anthony BeauvillierAGE:19PO:1OV:0
*Filip ChytilAGE:17PO:1OV:0
Brock NelsonAGE:25PO:1OV:0
Colby CaveAGE:22PO:1OV:0
Gabriel DumontAGE:26PO:1OV:0
Blake WheelerAGE:30PO:1OV:0
Cody EakinAGE:25PO:1OV:0
*Jakob Forsbacka KarlssonAGE:20PO:1OV:0
Ryan CraigAGE:35PO:1OV:0
*Brady VailAGE:22PO:1OV:0
John TavaresAGE:26PO:1OV:0
Jordan EberleAGE:26PO:1OV:0
Scott WilsonAGE:24PO:1OV:0
Caleb HerbertAGE:25PO:1OV:0
Adam ErneAGE:21PO:1OV:0
Anders LeeAGE:26PO:1OV:0
Chris NeilAGE:37PO:1OV:0
Kevin LabancAGE:21PO:1OV:0
Artturi LehkonenAGE:21PO:1OV:0
Anthony BeauvillierAGE:19PO:1OV:0
Francis BeauvillierAGE:23PO:1OV:0
Gustav NyquistAGE:27PO:1OV:0
Blake WheelerAGE:30PO:1OV:0
Sean KuralyAGE:23PO:1OV:0
Emerson EtemAGE:24PO:1OV:0
*Jeremy BraccoAGE:19PO:1OV:0
Dale WeiseAGE:28PO:1OV:0
Petr StrakaAGE:24PO:1OV:0
Bobby RyanAGE:29PO:1OV:0
Sven BaertschiAGE:24PO:1OV:0
Ty RattieAGE:23PO:1OV:0
Zack MitchellAGE:24PO:1OV:0

Défense #1Défense #2Gardien
Alex GrantAGE:27PO:1OV:0
Anthony BitettoAGE:26PO:1OV:0
Jaccob SlavinAGE:22PO:1OV:0
Korbinian HolzerAGE:28PO:1OV:0
Joey LaLeggiaAGE:24PO:1OV:0
Dylan McIlrathAGE:24PO:1OV:0
Eric GelinasAGE:25PO:1OV:0
Jaycob MegnaAGE:24PO:1OV:0
Greg PaterynAGE:26PO:1OV:0
Jamie OleksiakAGE:24PO:1OV:0
Mark BarberioAGE:26PO:1OV:0
Joe MorrowAGE:24PO:1OV:0
Tim HeedAGE:25PO:1OV:0
*Bryce AneloskiAGE:26PO:1OV:0
David SavardAGE:26PO:1OV:0
Ryan MurphyAGE:23PO:1OV:0
P.K. SubbanAGE:27PO:1OV:0
Jon GilliesAGE:22PO:1OV:0
Nick EllisAGE:22PO:1OV:0
Matt HackettAGE:26PO:1OV:0
Petr MrazekAGE:24PO:1OV:0
Laurent BrossoitAGE:23PO:1OV:0
Connor HellebuyckAGE:23PO:1OV:0

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 Edm San San San San Cal San
15San San San San San San
16San San San San San San
17San San San San San San
18San San San San San San



[2018-09-29 10:56:33] - Team Name Change : Worchester Sharks changed name to Barracuda
[2018-08-31 11:34:26] - Henrik Haapala was added to San Jose Sharks.
[2018-08-28 16:12:19] - TRADE : From San Jose Sharks to Phoenix Coyotes : Ryan White.
[2018-07-30 12:37:10] - Pierre-Alexandre Parenteau was released.
[2018-07-30 12:37:10] - San Jose Sharks paid 0 $ to release Pierre-Alexandre Parenteau.
[2018-07-29 18:29:49] - San Jose Sharks drafts Daniel Bukac as the #186 overall pick in the Entry Draft of year 13.
[2018-07-26 08:11:05] - David Kolomatis has been deleted from San Jose Sharks.
[2018-07-19 22:57:37] - Francis Beauvillier was added to San Jose Sharks.
[2018-07-19 22:52:32] - San Jose Sharks drafts Michael Karow as the #167 overall pick in the Entry Draft of year 13.
[2018-07-17 15:19:03] - Christopher Didomenico was added to San Jose Sharks.
[2018-07-16 20:18:59] - TRADE : From San Jose Sharks to Calgary Flames : Marc Methot.
[2018-07-16 20:18:59] - TRADE : From Calgary Flames to San Jose Sharks : Y:13-RND:6-Phi, Y:14-RND:6-Cal.
[2018-07-16 20:16:14] - Jakob Forsbacka Karlsson was added to San Jose Sharks.
[2018-07-16 20:16:14] - Graham Knott was added to San Jose Sharks.
[2018-07-16 20:16:14] - Jeremy Bracco was added to San Jose Sharks.
[2018-07-16 20:16:14] - Filip Chytil was added to San Jose Sharks.
[2018-07-06 13:41:56] - San Jose Sharks drafts Jonas Rondbjerg as the #121 overall pick in the Entry Draft of year 13.



[2018-10-14 14:40:11] Auto Lines Partial Function has been run for San Jose Sharks.
[2018-10-14 14:40:11] Auto Roster Partial Function has been run for San Jose Sharks.
[2018-10-13 15:15:43] Connor Hellebuyck from San Jose Sharks is back from Exhaustion.
[2018-10-11 12:46:23] Connor Hellebuyck from San Jose Sharks injured (Exhaustion)
[2018-10-03 14:34:43] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.2.2
[2018-09-30 11:02:40] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.2.2
[2018-09-30 11:02:40] Jakob Forsbacka Karlsson of San Jose Sharks was sent down to farm.
[2018-09-30 11:02:40] Korbinian Holzer of San Jose Sharks was sent down to farm.
[2018-09-30 11:02:40] Filip Chytil of San Jose Sharks was sent down to farm.
[2018-09-19 09:53:49] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.2.2
[2018-09-19 09:53:49] Jakob Forsbacka Karlsson of San Jose Sharks was sent to pro.
[2018-09-19 09:53:49] Korbinian Holzer of San Jose Sharks was sent to pro.
[2018-09-19 09:53:49] Filip Chytil of San Jose Sharks was sent to pro.
[2018-09-07 07:56:50] Successfully loaded San Jose Sharks lines done with STHS Client - 3.1.2.2
[2018-09-07 07:56:49] Jeremy Bracco of San Jose Sharks was sent down to farm.
[2018-09-07 07:56:49] Graham Knott of San Jose Sharks was sent down to farm.
[2018-09-07 07:56:49] Greg Pateryn of San Jose Sharks was sent to pro.
[2018-09-07 07:56:49] Jakob Forsbacka Karlsson of San Jose Sharks was sent down to farm.
[2018-09-07 07:56:49] Francis Beauvillier of San Jose Sharks was sent down to farm.
[2018-09-07 07:56:49] Henrik Haapala of San Jose Sharks was sent down to farm.
[2018-09-07 07:56:49] Filip Chytil of San Jose Sharks was sent down to farm.
[2018-09-07 07:56:49] Kevin Labanc of San Jose Sharks was sent to pro.
[2018-09-07 07:56:49] Christopher Didomenico of San Jose Sharks was sent down to farm.



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
13613001101317-41010000014-3512001101213-15132235009211192616465620666511142613.85%20860.00%010221048.57%12524151.87%429345.16%13796155467637
Total Saison Régulière613001101317-41010000014-3512001101213-15132235009211192616465620666511142613.85%20860.00%010221048.57%12524151.87%429345.16%13796155467637
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