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San Jose Sharks
GP: 12 | W: 3 | L: 7 | OTL: 2 | P: 10
GF: 23 | GA: 38 | PP%: 15.22% | PK%: 77.59%
DG: Jaryn | Morale : 40 | Moyenne d’équipe : 70
Prochains matchs #175 vs Detroit Red Wings

Centre de jeu
San Jose Sharks
3-7-2, 10pts
1
3 Colorado Avalanche
9-2-1, 28pts
Team Stats
L3SéquenceOTL1
3-0-1Fiche domicile3-2-0
0-7-1Fiche visiteur6-0-1
2-6-2Derniers 10 matchs8-1-1
1.92Buts par match 2.75
3.17Buts contre par match 2.25
15.22%Pourcentage en avantage numérique14.89%
77.59%Pourcentage en désavantage numérique81.82%
San Jose Sharks
3-7-2, 10pts
2
6 Edmonton Oilers
6-4-2, 19pts
Team Stats
L3SéquenceW2
3-0-1Fiche domicile3-2-1
0-7-1Fiche visiteur3-2-1
2-6-2Derniers 10 matchs5-3-2
1.92Buts par match 3.08
3.17Buts contre par match 2.58
15.22%Pourcentage en avantage numérique22.50%
77.59%Pourcentage en désavantage numérique88.89%
Detroit Red Wings
5-5-2, 17pts
Jour 29
San Jose Sharks
3-7-2, 10pts
Statistiques d’équipe
SOL1SéquenceL3
3-2-2Fiche domicile3-0-1
2-3-0Fiche visiteur0-7-1
4-4-210 derniers matchs2-6-2
2.33Buts par match 1.92
2.92Buts contre par match 1.92
16.67%Pourcentage en avantage numérique15.22%
77.08%Pourcentage en désavantage numérique77.59%
Columbus Blue Jackets
9-2-1, 26pts
Jour 33
San Jose Sharks
3-7-2, 10pts
Statistiques d’équipe
W2SéquenceL3
4-1-0Fiche domicile3-0-1
5-1-1Fiche visiteur0-7-1
7-2-110 derniers matchs2-6-2
3.33Buts par match 1.92
2.33Buts contre par match 1.92
23.26%Pourcentage en avantage numérique15.22%
84.85%Pourcentage en désavantage numérique77.59%
Winnipeg Jets
7-4-1, 21pts
Jour 35
San Jose Sharks
3-7-2, 10pts
Statistiques d’équipe
W2SéquenceL3
3-2-1Fiche domicile3-0-1
4-2-0Fiche visiteur0-7-1
7-2-110 derniers matchs2-6-2
3.00Buts par match 1.92
2.33Buts contre par match 1.92
11.67%Pourcentage en avantage numérique15.22%
76.19%Pourcentage en désavantage numérique77.59%
Meneurs d'équipe
Buts
Ondrej Palat
7
Passes
Rickard Rakell
5
Points
Ondrej Palat
9
Plus/Moins
Trevor Moore
2
Victoires
Daniil Tarasov
2
Pourcentage d’arrêts
Daniil Tarasov
0.926

Statistiques d’équipe
Buts pour
23
1.92 GFG
Tirs pour
337
28.08 Avg
Pourcentage en avantage numérique
15.2%
7 GF
Début de zone offensive
39.7%
Buts contre
38
3.17 GAA
Tirs contre
377
31.42 Avg
Pourcentage en désavantage numérique
77.6%%
13 GA
Début de la zone défensive
38.9%
Informations de l'équipe

Directeur généralJaryn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomSAP Center
Capacité18,000
Assistance15,176
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure22
Limite contact 44 / 250
Espoirs10


Finance

Revenu annuel à ce jour4,377,913$
Dépenses annuelles à ce jour3,645,704$
Revenus de la saison estimés39,401,217$
Dépenses de la saison estimées21,374,521$
Compte bancaire actuel47,788,476$
Compte bancaire projeté66,900,577$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ondrej Palat0X97.0085448182688688726175726771818355407303415,067,000$
2Rickard Rakell0X95.0075468577778485728678727072808355407303212,000,000$
3Nicolas Roy0X100.0081508273897780668367677467777255407002811,000,000$
4Ryan McLeod0X99.006148826980848964876868776773785540700252900,000$
5Alex Killorn0X99.006642807270828667656966676684685540680351500,000$
6Anze Kopitar0X100.006150715490808469877166626386845540680371950,000$
7Frank Vatrano0X99.008245747365747368686774697180655540680312500,000$
8Kyle Palmieri0X100.0068448277597980706469696669826755406803411,693,999$
9Trevor Moore0X99.007748797665807765646867696779745540680303600,000$
10Bobby McMann0X100.007347806681738162736463706478805540670292500,000$
11Justin Brazeau0X100.007752816192737360616362746176845540670272650,000$
12Kiefer Sherwood0X100.0076477769587574606964637062797055406503032,184,000$
13Noah Hanifin0X99.0074549372938689695375667163778455407402811,067,000$
14Conor Timmins0X98.005948828686777975507868746973795540730262600,000$
15Alexander Alexeyev0X100.007152877191788369507363736173825540720251800,000$
16Ben Chiarot0X100.008554756296778069507262715981845540720342500,000$
17Damon Severson0X100.007356747382848672527563666679805540710303630,000$
18Trevor van Riemsdyk0X100.005448837479828571507361676181715540690332500,000$
Rayé
1Brett Kulak0X64.748547828378797970507365726780715540730312500,000$
Équipe Mineure
1Reilly Smith0X95.0067408177618078716275696871817855407003411,700,000$
2Walker Duehr0X97.008451796685747562556766726476825540680272500,000$
3Corey Perry0X100.005555696180797162696568696499995540670401500,000$
4Mark Kastelic0X99.008655616587707560786463726275715540670262800,000$
5Pontus Holmberg0X100.006145767573777564696865726675665540670261500,000$
6Tyler Pitlick0X100.0087497764727569666468656563817755406603311,500,000$
7Alex Belzile0X100.007044766772707162655861706279695540640332500,000$
8Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
9Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
10Jere Innala0X99.005240777261636360605659676276765540620271500,000$
11Ian Cole0X99.007656676090798763506659775588845540710362500,000$
12Parker Wotherspoon0X99.0055447976926977645065617661766955407002721,525,000$
13Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
14John Gilmour0X100.005148796978707662506260685779785540660321625,000$
15Mike Reilly0X100.006144827461727765506863646177805540660313500,000$
16Julius Honka0X100.005440768347656862506461636275585840630294625,000$
17Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
18Adam Henrique0X94.0069428072658086728773706168827555406903511,500,000$
19Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
MOYENNE D’ÉQUIPE98.20694678727575776562676469647875574068
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Daniil Tarasov0100.00807378887876777979767773605540750261800,000$
2Linus Ullmark096.007371758677777879787778806355407503121,267,000$
Rayé
1Ivan Prosvetov0100.00836570887371737373727075575540720263500,000$
Équipe Mineure
1KARI PIIROINEN096.00816060767774757777747567565240710241250,000$
2SAMI RAJANIEMI0100.00766060747373747272737078655240700321250,000$
3MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
MOYENNE D’ÉQUIPE98.6779656782757475767574747460544072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ondrej PalatSan Jose SharksRW11729-114022214972614.29%1026323.921234350001341144.74%38124000.6803000121
2Conor TimminsSan Jose SharksD12358-360122326111011.54%1027823.20202536000033000%0614000.5700000000
3Rickard RakellSan Jose SharksC11358-214103233519245.88%428125.622138310001390150.30%32897000.5702002002
4Kyle PalmieriSan Jose SharksLW12437-1155201135122111.43%320517.12213526000001050.00%665000.6800100101
5Noah HanifinSan Jose SharksD10145-175162514267.14%1728228.22022135000046000%0218000.3500010001
6Alex KillornSan Jose SharksLW12134-4751313186155.56%416113.42000060000200050.00%1253000.5000001001
7Brett KulakSan Jose SharksD11044-2160191518890%2024522.35011228000030000%0711000.3300000000
8Frank VatranoSan Jose SharksLW1204401752716217190%220517.09000538000070030.00%1094000.3900001001
9Trevor MooreSan Jose SharksRW1231422410291728101410.71%421718.16011130000001025.00%1256000.3700101000
10Ryan McLeodSan Jose SharksC121232101028191410107.14%324820.730111320001250048.55%17353000.2400020000
11Alexander AlexeyevSan Jose SharksD12011-50011149340%1324320.26000031000030000%033000.0800000000
12Anze KopitarSan Jose SharksC12011-4559814230%21189.89000120000100061.22%4911000.1700001000
13Nicolas RoySan Jose SharksC12011-5001317192160%315813.18000140000210045.45%7722000.1300000000
14Trevor van RiemsdykSan Jose SharksD12011000032000%4887.400001100008000%006000.2300000000
15Ben ChiarotSan Jose SharksD12000-215513136200%1416814.050000800002000%00500000001000
16Bobby McMannSan Jose SharksC12000-220952120%1645.4100004000000035.71%140000000000000
17Damon SeversonSan Jose SharksD12000-2235824230%715212.6800002000014000%02100000010000
18Justin BrazeauSan Jose SharksLW12000-420941020%1927.6700000000050050.00%21000000000000
19Kiefer SherwoodSan Jose SharksRW5000-320646000%16513.02000020000000100.00%11000000000000
Statistiques d’équipe totales ou en moyenne216233760-3717965296263337941846.82%123354116.3979163536100033313248.89%7227693000.3405247227
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
1Daniil TarasovSan Jose Sharks42110.9262.2024501912170000246100
2Linus UllmarkSan Jose Sharks81610.8953.354840027256129200.333384000
Statistiques d’équipe totales ou en moyenne123720.9052.9672901363771992051210100


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex Killorn (contrat à 1 volet)San Jose SharksLW351989-09-14CANNo194 Lbs6 ft1NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Alexander AlexeyevSan Jose SharksD251999-11-15RUSNo214 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$685,106$0$0$No---------------------------Lien
Anze Kopitar (contrat à 1 volet)San Jose SharksC371987-08-24SVNNo225 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm950,000$813,564$0$0$No---------------------------Lien
Ben ChiarotSan Jose SharksD341991-05-09CANNo234 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Bobby McMannSan Jose SharksC291996-06-15CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Brett Kulak (sur la masse salariale)San Jose SharksD311994-01-06CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Conor TimminsSan Jose SharksD261998-09-18CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No600,000$--------600,000$--------No--------Lien
Damon SeversonSan Jose SharksD301994-08-07CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm630,000$539,521$0$0$No630,000$630,000$-------630,000$630,000$-------NoNo-------Lien
Daniil TarasovSan Jose SharksG261999-03-27RUSNo196 Lbs6 ft5NoNoTrade2025-12-16NoNo12025-09-30FalseFalsePro & Farm800,000$685,106$0$0$No---------------------------Lien
Frank VatranoSan Jose SharksLW311994-03-14USANo201 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Ivan ProsvetovSan Jose SharksG261999-03-05RUSNo190 Lbs6 ft5NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Justin BrazeauSan Jose SharksLW271998-02-02CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm650,000$556,649$0$0$No650,000$--------650,000$--------No--------Lien
Kiefer SherwoodSan Jose SharksRW301995-03-31USANo194 Lbs6 ft0NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm2,184,000$1,870,340$0$0$No2,184,000$2,184,000$-------2,184,000$2,184,000$-------NoNo-------Lien
Kyle Palmieri (contrat à 1 volet)San Jose SharksLW341991-02-01USANo185 Lbs5 ft11NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,693,999$1,450,712$0$0$No---------------------------Lien
Linus UllmarkSan Jose SharksG311993-07-31SWENo214 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,267,000$1,085,037$0$0$No1,267,000$--------1,267,000$--------No--------Lien
Nicolas RoySan Jose SharksC281997-02-05CANNo201 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$856,383$0$0$No---------------------------Lien
Noah HanifinSan Jose SharksD281997-01-25USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,067,000$913,761$0$0$No---------------------------Lien
Ondrej Palat (contrat à 1 volet)San Jose SharksRW341991-03-28CZENo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,067,000$4,339,293$0$0$No---------------------------Lien
Rickard RakellSan Jose SharksC321993-05-05SWENo203 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,712,766$0$0$No---------------------------Lien
Ryan McLeodSan Jose SharksC251999-09-21CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm900,000$770,745$0$0$No900,000$--------900,000$--------No--------Lien
Trevor MooreSan Jose SharksRW301995-03-31USANo194 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Trevor van RiemsdykSan Jose SharksD331991-07-24USANo192 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.09204 Lbs6 ft21.771,077,682$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
23,708,999$9,831,000$3,914,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex KillornRickard RakellOndrej Palat40122
2Frank VatranoRyan McLeodTrevor Moore30122
3Kyle PalmieriNicolas RoyKiefer Sherwood20122
4Justin BrazeauAnze KopitarRickard Rakell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins40122
2Alexander AlexeyevBen Chiarot30122
3Damon SeversonTrevor van Riemsdyk20122
4Noah HanifinConor Timmins10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex KillornRickard RakellOndrej Palat60122
2Frank VatranoRyan McLeodTrevor Moore40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins60122
2Alexander AlexeyevBen Chiarot40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rickard RakellOndrej Palat60122
2Ryan McLeodNicolas Roy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins60122
2Alexander AlexeyevBen Chiarot40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rickard Rakell60122Noah HanifinConor Timmins60122
2Ondrej Palat40122Alexander AlexeyevBen Chiarot40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rickard RakellOndrej Palat60122
2Ryan McLeodNicolas Roy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins60122
2Alexander AlexeyevBen Chiarot40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex KillornRickard RakellOndrej PalatNoah HanifinConor Timmins
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex KillornRickard RakellOndrej PalatNoah HanifinConor Timmins
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bobby McMann, Anze Kopitar, Kyle PalmieriBobby McMann, Anze KopitarKyle Palmieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Damon Severson, Trevor van Riemsdyk, Alexander AlexeyevDamon SeversonTrevor van Riemsdyk, Alexander Alexeyev
Tirs de pénalité
Rickard Rakell, Ondrej Palat, Ryan McLeod, Nicolas Roy, Anze Kopitar
Gardien
#1 : Linus Ullmark, #2 : Daniil Tarasov
Lignes d’attaque personnalisées en prolongation
Rickard Rakell, Ondrej Palat, Ryan McLeod, Nicolas Roy, Anze Kopitar, Alex Killorn, Frank Vatrano, Trevor Moore, Kyle Palmieri, Bobby McMann
Lignes de défense personnalisées en prolongation
Noah Hanifin, Conor Timmins, Alexander Alexeyev, Ben Chiarot, Damon Severson


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Mighty Ducks1000000145-1000000000001000000145-110.33347110004002791712371111325120.00%3166.67%012828245.39%14127651.09%8415255.26%20922102111
2Boston Bruins1010000023-1000000000001010000023-100.00022400011027351903581121500.00%3166.67%012828245.39%14127651.09%8415255.26%189229189
3California Golden Seals1010000036-3000000000001010000036-300.0003580002103581413040710162150.00%6350.00%012828245.39%14127651.09%8415255.26%2012239157
4Colorado Avalanche1010000013-2000000000001010000013-200.0001230001001748503891021400.00%50100.00%012828245.39%14127651.09%8415255.26%1782410178
5Edmonton Oilers1010000026-4000000000001010000026-400.000246000110336171003162124500.00%30100.00%012828245.39%14127651.09%8415255.26%2011229167
6Florida Panthers11000000101110000001010000000000031.000112011000283121302371327300.00%40100.00%012828245.39%14127651.09%8415255.26%1892110199
7Los Angeles Kings1010000003-3000000000001010000003-300.000000000000225116032162325100.00%9188.89%012828245.39%14127651.09%8415255.26%167259187
8New Jersey Devils1010000024-2000000000001010000024-200.00023500011030121080381633247114.29%9455.56%012828245.39%14127651.09%8415255.26%2112218169
9Seattle Kraken10001000211100010002110000000000020.6672350001013881711221100253133.33%000%012828245.39%14127651.09%8415255.26%2213208189
10St Louis Blues1010000012-1000000000001010000012-100.0001230000102913610027131625000%8187.50%012828245.39%14127651.09%8415255.26%1782310198
11Vancouver Canucks1000000123-11000000123-10000000000010.333235000110241173526825304125.00%5180.00%012828245.39%14127651.09%8415255.26%211122102010
12Vegas Golden Knights11000000321110000003210000000000031.000358001200277173029126267228.57%3166.67%012828245.39%14127651.09%8415255.26%18921101910
Total1227010022338-1542001001862807000011532-17100.278233760012146133789141102937712317929646715.22%581377.59%012828245.39%14127651.09%8415255.26%235121271117224110
_Since Last GM Reset1227010022338-1542001001862807000011532-17100.278233760012146133789141102937712317929646715.22%581377.59%012828245.39%14127651.09%8415255.26%235121271117224110
_Vs Conference915010021831-1331001001761605000011125-1470.2591831490011241252711146292819212222431619.35%42880.95%012828245.39%14127651.09%8415255.26%175912068816981
_Vs Division612010021420-63100100176130200001714-770.38914233700110211734883379185647515422627.27%26773.08%012828245.39%14127651.09%8415255.26%120621355811556

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1210L323376033737712317929601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
122710022338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
420100186
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
80700011532
Derniers 10 matchs
WLOTWOTL SOWSOL
260002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
46715.22%581377.59%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
89141102921461
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
12828245.39%14127651.09%8415255.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
235121271117224110


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
212San Jose Sharks3California Golden Seals6LSommaire du match
425Seattle Kraken1San Jose Sharks2WXSommaire du match
641Vegas Golden Knights2San Jose Sharks3WSommaire du match
855San Jose Sharks0Los Angeles Kings3LSommaire du match
1069San Jose Sharks4Anaheim Mighty Ducks5LXXSommaire du match
1284San Jose Sharks1St Louis Blues2LSommaire du match
1497Vancouver Canucks3San Jose Sharks2LXXSommaire du match
15107San Jose Sharks2New Jersey Devils4LSommaire du match
17120Florida Panthers0San Jose Sharks1WSommaire du match
20140San Jose Sharks2Boston Bruins3LSommaire du match
24154San Jose Sharks1Colorado Avalanche3LSommaire du match
27168San Jose Sharks2Edmonton Oilers6LSommaire du match
29175Detroit Red Wings-San Jose Sharks-
33196Columbus Blue Jackets-San Jose Sharks-
35206Winnipeg Jets-San Jose Sharks-
38220San Jose Sharks-Chicago Blackhawks-
41234Chicago Blackhawks-San Jose Sharks-
45251San Jose Sharks-Winnipeg Jets-
48263San Jose Sharks-Columbus Blue Jackets-
51275San Jose Sharks-Detroit Red Wings-
54294Edmonton Oilers-San Jose Sharks-
57303Colorado Avalanche-San Jose Sharks-
60317San Jose Sharks-Tampa Bay Lightning-
62329Ottawa Senators-San Jose Sharks-
64349Montreal Canadiens-San Jose Sharks-
66364San Jose Sharks-Hamilton Mustangs-
68378San Jose Sharks-St Louis Blues-
70391San Jose Sharks-Anaheim Mighty Ducks-
72405Los Angeles Kings-San Jose Sharks-
74419San Jose Sharks-Vegas Golden Knights-
76423San Jose Sharks-New York Islanders-
78439New York Rangers-San Jose Sharks-
80450Carolina Hurricanes-San Jose Sharks-
84472Columbus Blue Jackets-San Jose Sharks-
87488San Jose Sharks-Winnipeg Jets-
89503San Jose Sharks-Chicago Blackhawks-
92515Quebec Nordiques-San Jose Sharks-
93522San Jose Sharks-Quebec Nordiques-
95533San Jose Sharks-Toronto Maple Leafs-
98554Toronto Maple Leafs-San Jose Sharks-
100573Pittsburgh Penguins-San Jose Sharks-
102583San Jose Sharks-Philadelphia Flyers-
105602San Jose Sharks-Seattle Kraken-
107613California Golden Seals-San Jose Sharks-
110625San Jose Sharks-Vancouver Canucks-
113635Colorado Avalanche-San Jose Sharks-
115649San Jose Sharks-Edmonton Oilers-
118659Detroit Red Wings-San Jose Sharks-
121675San Jose Sharks-Montreal Canadiens-
123689San Jose Sharks-Ottawa Senators-
125703Tampa Bay Lightning-San Jose Sharks-
128727Boston Bruins-San Jose Sharks-
130742San Jose Sharks-Florida Panthers-
132752New Jersey Devils-San Jose Sharks-
135770St Louis Blues-San Jose Sharks-
137783Anaheim Mighty Ducks-San Jose Sharks-
139797San Jose Sharks-Los Angeles Kings-
142811Vegas Golden Knights-San Jose Sharks-
144823Hamilton Mustangs-San Jose Sharks-
146830New York Islanders-San Jose Sharks-
148844San Jose Sharks-New York Rangers-
152868San Jose Sharks-Carolina Hurricanes-
154881San Jose Sharks-Pittsburgh Penguins-
156892Philadelphia Flyers-San Jose Sharks-
158899San Jose Sharks-Columbus Blue Jackets-
160915Winnipeg Jets-San Jose Sharks-
162930Chicago Blackhawks-San Jose Sharks-
164939San Jose Sharks-Detroit Red Wings-
166959Edmonton Oilers-San Jose Sharks-
168968San Jose Sharks-Colorado Avalanche-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171987St Louis Blues-San Jose Sharks-
1731000Anaheim Mighty Ducks-San Jose Sharks-
1751014Los Angeles Kings-San Jose Sharks-
1771028San Jose Sharks-Vegas Golden Knights-
1801047Seattle Kraken-San Jose Sharks-
1811061San Jose Sharks-Seattle Kraken-
1831076California Golden Seals-San Jose Sharks-
1841090San Jose Sharks-California Golden Seals-
1861105Vancouver Canucks-San Jose Sharks-
1871119San Jose Sharks-Vancouver Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance20,24016,2047,30312,9923,966
Attendance PCT85.19%83.35%92.21%82.02%78.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 15176 - 84.31% 1,094,478$4,377,913$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
3,645,704$ 24,958,999$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,645,704$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
39,401,217$ 161 132,761$ 21,374,521$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
22,511,342$ 47,788,476$ 66,900,577$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex KillornAGE:35PO:55OV:68
Frank VatranoAGE:31PO:55OV:68
Kyle PalmieriAGE:34PO:55OV:68
Justin BrazeauAGE:27PO:55OV:67
Jonathan GrudenAGE:25PO:55OV:64
Jere InnalaAGE:27PO:55OV:62
Rickard RakellAGE:32PO:55OV:73
Nicolas RoyAGE:28PO:55OV:70
Ryan McLeodAGE:25PO:55OV:70
Adam HenriqueAGE:35PO:55OV:69
Anze KopitarAGE:37PO:55OV:68
Bobby McMannAGE:29PO:55OV:67
Mark KastelicAGE:26PO:55OV:67
Garrett PilonAGE:27PO:55OV:63
Ondrej PalatAGE:34PO:55OV:73
Reilly SmithAGE:34PO:55OV:70
Trevor MooreAGE:30PO:55OV:68
Walker DuehrAGE:27PO:55OV:68
Corey PerryAGE:40PO:55OV:67
Pontus HolmbergAGE:26PO:55OV:67
Tyler PitlickAGE:33PO:55OV:66
Kiefer SherwoodAGE:30PO:55OV:65
Alex BelzileAGE:33PO:55OV:64

Défense #1Défense #2Gardien
Noah HanifinAGE:28PO:55OV:74
Brett KulakAGE:31PO:55OV:73
Conor TimminsAGE:26PO:55OV:73
Alexander AlexeyevAGE:25PO:55OV:72
Ben ChiarotAGE:34PO:55OV:72
Damon SeversonAGE:30PO:55OV:71
Ian ColeAGE:36PO:55OV:71
Parker WotherspoonAGE:27PO:55OV:70
Trevor van RiemsdykAGE:33PO:55OV:69
Ben ThomasAGE:29PO:55OV:66
John GilmourAGE:32PO:55OV:66
Mike ReillyAGE:31PO:55OV:66
Michael KaplaAGE:30PO:85OV:63
Julius HonkaAGE:29PO:58OV:63
Anton LindholmAGE:30PO:80OV:60
Daniil TarasovAGE:26PO:55OV:75
Linus UllmarkAGE:31PO:55OV:75
Ivan ProsvetovAGE:26PO:55OV:72
KARI PIIROINENAGE:24PO:52OV:71
MARKUS RUUSUAGE:27PO:52OV:70
SAMI RAJANIEMIAGE:32PO:52OV:70

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
1 000 000 NSHL25 Waiver BucksSan Jose Sharks00
1x NSHL26 ODW ClaimSan Jose Sharks00
1x RFA TagSan Jose Sharks00
20x LTCsSan Jose Sharks00
Alexis CournoyerSan Jose Sharks251230Lien
Ethan CzataSan Jose Sharks25670Lien
Filip ErikssonSan Jose Sharks25950Lien
Roger McQueenSan Jose Sharks25110Lien
Ty MuellerSan Jose Sharks251520Lien
Tyson KozakSan Jose Sharks251810Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




San Jose Sharks Historique de transactions

[2026-02-09 2:08:41 PM] New Record for Team's Most Penalties Minutes (33) in 1 Game for San Jose Sharks!
[2026-02-08 10:36:52 AM] New Record for Team's Most Penalties Minutes (25) in 1 Game for San Jose Sharks!
[2026-02-04 2:03:29 PM] New Record for Team's Most Hits (32) in 1 Game for San Jose Sharks!
[2026-02-04 2:03:29 PM] New Record for Team's Most Points (11) in 1 Game for San Jose Sharks!
[2026-02-04 2:03:29 PM] New Record for Team's Most Assists (7) in 1 Game for San Jose Sharks!
[2026-02-04 2:03:29 PM] New Record for Team's Most Goals (4) in 1 Game for San Jose Sharks!
[2026-02-02 2:12:09 PM] New Record for Team's Most Penalties Minutes (23) in 1 Game for San Jose Sharks!
[2026-02-02 2:12:09 PM] New Record for Team's Most Shots Blocked (16) in 1 Game for San Jose Sharks!
[2026-01-31 9:15:19 AM] New Record for Team's Most Hits (26) in 1 Game for San Jose Sharks!
[2026-01-31 9:15:19 AM] New Record for Team's Most Shots Blocked (12) in 1 Game for San Jose Sharks!
[2026-01-29 9:02:20 AM] New Record for Team's Most Hits (25) in 1 Game for San Jose Sharks!
[2026-01-29 9:02:20 AM] New Record for Team's Most Shots Blocked (10) in 1 Game for San Jose Sharks!
[2026-01-29 9:02:20 AM] New Record for Team's Most Shots (38) in 1 Game for San Jose Sharks!



Adam Henrique est dehors pour 1 jours à cause de Exhaustion.
Brett Kulak est dehors pour 1 mois à cause de Torn Right MCL Injury.



San Jose Sharks Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

San Jose Sharks Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

San Jose Sharks Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

San Jose Sharks Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

San Jose Sharks Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA