Please rotate your device to landscape mode for a better experience.
Connexion

San Jose Sharks
GP: 47 | W: 17 | L: 27 | OTL: 3 | P: 49
GF: 96 | GA: 145 | PP%: 25.18% | PK%: 77.41%
DG: Jaryn | Morale : 40 | Moyenne d’équipe : 71
Prochains matchs #659 vs Detroit Red Wings

Centre de jeu
Colorado Avalanche
28-14-5, 83pts
1
2 San Jose Sharks
17-27-3, 49pts
Team Stats
W1SéquenceL1
11-9-2Fiche domicile10-9-2
17-5-3Fiche visiteur7-18-1
6-3-1Derniers 10 matchs4-6-0
2.45Buts par match 2.04
2.28Buts contre par match 3.09
14.38%Pourcentage en avantage numérique25.18%
85.95%Pourcentage en désavantage numérique77.41%
San Jose Sharks
17-27-3, 49pts
1
2 Edmonton Oilers
23-16-8, 73pts
Team Stats
L1SéquenceW4
10-9-2Fiche domicile11-8-6
7-18-1Fiche visiteur12-8-2
4-6-0Derniers 10 matchs6-4-0
2.04Buts par match 2.68
3.09Buts contre par match 2.55
25.18%Pourcentage en avantage numérique15.38%
77.41%Pourcentage en désavantage numérique86.62%
Detroit Red Wings
22-15-10, 71pts
Jour 118
San Jose Sharks
17-27-3, 49pts
Statistiques d’équipe
OTL2SéquenceL1
9-8-6Fiche domicile10-9-2
13-7-4Fiche visiteur7-18-1
4-3-310 derniers matchs4-6-0
2.68Buts par match 2.04
2.74Buts contre par match 2.04
17.42%Pourcentage en avantage numérique25.18%
81.21%Pourcentage en désavantage numérique77.41%
San Jose Sharks
17-27-3, 49pts
Jour 121
Montreal Canadiens
16-28-2, 46pts
Statistiques d’équipe
L1SéquenceW1
10-9-2Fiche domicile10-12-1
7-18-1Fiche visiteur6-16-1
4-6-010 derniers matchs3-7-0
2.04Buts par match 2.54
3.09Buts contre par match 2.54
25.18%Pourcentage en avantage numérique18.82%
77.41%Pourcentage en désavantage numérique73.91%
San Jose Sharks
17-27-3, 49pts
Jour 123
Ottawa Senators
21-17-8, 66pts
Statistiques d’équipe
L1SéquenceW1
10-9-2Fiche domicile16-4-3
7-18-1Fiche visiteur5-13-5
4-6-010 derniers matchs5-4-1
2.04Buts par match 2.89
3.09Buts contre par match 2.89
25.18%Pourcentage en avantage numérique21.51%
77.41%Pourcentage en désavantage numérique79.89%
Meneurs d'équipe
Buts
Ondrej Palat
12
Passes
Conor Timmins
25
Points
Conor Timmins
33
Plus/Moins
Michael Dal Colle
3
Victoires
Daniil Tarasov
9
Pourcentage d’arrêts
Daniil Tarasov
0.92

Statistiques d’équipe
Buts pour
96
2.04 GFG
Tirs pour
1194
25.40 Avg
Pourcentage en avantage numérique
25.2%
35 GF
Début de zone offensive
35.0%
Buts contre
145
3.09 GAA
Tirs contre
1538
32.72 Avg
Pourcentage en désavantage numérique
77.4%%
54 GA
Début de la zone défensive
43.4%
Informations de l'équipe

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


Informations de l’aréna

NomSAP Center
Capacité18,000
Assistance14,316
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure29
Limite contact 51 / 250
Espoirs10


Finance

Revenu annuel à ce jour21,876,769$
Dépenses annuelles à ce jour14,970,879$
Revenus de la saison estimés19,793,267$
Dépenses de la saison estimées10,596,680$
Compte bancaire actuel55,311,511$
Compte bancaire projeté64,554,704$


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 Palat0X96.5885448182688688726175726771818355407303415,067,000$
2Rickard Rakell0X95.0075468577778485728678727072808355407303212,000,000$
3Michael Dal Colle0X100.008546807480798267797167716978745540700292550,000$
4Nicolas Roy0X100.0081508273897780668367677467777255407002811,000,000$
5Ryan McLeod0X98.786148826980848964876868776773785540700252900,000$
6Adam Henrique0X99.6669428072658086728773706168827555406903511,500,000$
7Alex Killorn0X100.006642807270828667656966676684685540680351500,000$
8Anze Kopitar0X100.006150715490808469877166626386845540680371950,000$
9Frank Vatrano0X100.008245747365747368686774697180655540680312500,000$
10Kyle Palmieri0X100.0068448277597980706469696669826755406803411,693,999$
11Trevor Moore0X100.007748797665807765646867696779745540680303600,000$
12Bobby McMann0X100.007347806681738162736463706478805540670292500,000$
13Travis Hamonic0X99.0088477173858890715074667466817955407503411,220,000$
14Noah Hanifin0X99.0074549372938689695375667163778455407402811,067,000$
15Brett Kulak0X100.008547828378797970507365726780715540730312500,000$
16Conor Timmins0X100.005948828686777975507868746973795540730262600,000$
17Alexander Alexeyev0X100.007152877191788369507363736173825540720251800,000$
18Parker Wotherspoon0X100.0055447976926977645065617661766955407002721,525,000$
Rayé
1Ben Chiarot0X89.438554756296778069507262715981845540720342500,000$
Équipe Mineure
1Reilly Smith0X96.0067408177618078716275696871817855407003411,700,000$
2Walker Duehr0X96.008451796685747562556766726476825540680272500,000$
3Corey Perry0X100.005555696180797162696568696499995540670401500,000$
4Pontus Holmberg0X100.006145767573777564696865726675665540670261500,000$
5EMIL PETTERSSON0XXX98.00563367776760606870716462687676524066N0311250,000$
6MARKUS LJUNGH0X99.00523868746060606870726563688291524066N0341250,000$
7Cole Bardreau0X99.007540707561686762656463706577585540650312665,000$
8Kiefer Sherwood0X100.0076477769587574606964637062797055406503032,184,000$
9Alex Belzile0X99.007044766772707162655861706279695540640332500,000$
10Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
11Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
12Jere Innala0X100.005240777261636360605659676276765540620271500,000$
13Damon Severson0X99.007356747382848672527563666679805540710303630,000$
14Ian Cole0X99.007656676090798763506659775588845540710362500,000$
15Trevor van Riemsdyk0X100.005448837479828571507361676181715540690332500,000$
16LASSE LAPPALAINEN0X97.55544575708160606348726374608694524068N0361250,000$
17VILLE LAJUNEN0X98.00544071727860607148726763658894524068N0371250,000$
18Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
19Mark Kastelic0X84.468655616587707560786463726275715540670262800,000$
20PER ASLUND0XX66.00483859726960606748686566679194524066N0381250,000$
21Tyler Pitlick0X73.7087497764727569666468656563817755406603311,500,000$
22John Gilmour0X95.075148796978707662506260685779785540660321625,000$
23Mike Reilly0X82.656144827461727765506863646177805540660313500,000$
24Julius Honka0X100.005440768347656862506461636275585840630294625,000$
25Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
26Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
MOYENNE D’ÉQUIPE96.89684577727474766662686569647976564068
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 Tarasov099.00807378887876777979767773605540750261800,000$
2Linus Ullmark0100.007371758677777879787778806355407503121,267,000$
Rayé
1Ivan Prosvetov0100.00836570887371737373727075575540720263500,000$
Équipe Mineure
1KARI PIIROINEN098.00816060767774757777747567565240710241250,000$
2SAMI RAJANIEMI097.00766060747373747272737078655240700321250,000$
3MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
MOYENNE D’ÉQUIPE99.0079656782757475767574747460544072
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
1Conor TimminsSan Jose SharksD4682533-133610388011236347.14%57108123.526713191030114178000%02642000.6100020101
2Rickard RakellSan Jose SharksC4381927-12472510013314457915.56%36110525.70369228900051681246.12%12102731000.4903014023
3Kyle PalmieriSan Jose SharksLW47111122-34410626612638698.73%1584718.0344815870000102037.21%432217000.5200101301
4Alex KillornSan Jose SharksLW4412921-52810446485234714.12%1768515.583255350000752156.10%411517010.6100011203
5Ondrej PalatSan Jose SharksRW3212820-124715676712721589.45%2776323.8616797310141271237.14%1052114000.5204102241
6Ryan McLeodSan Jose SharksC4381119-161358110366244112.12%2391721.3416758100031043152.45%5511521000.4111223120
7Trevor MooreSan Jose SharksRW448917-510820848011034597.27%1685719.4824617910001131039.58%482021000.4000112000
8Nicolas RoySan Jose SharksC4741216-1130074867217485.56%1880317.101452390001911051.31%3821020000.4001000102
9Frank VatranoSan Jose SharksLW366814-12602062527124508.45%1659616.5652714820000301037.25%511813000.4700022012
10Noah HanifinSan Jose SharksD4331013-8373557905229195.77%70110425.6824681080002197010%01952000.2400133101
11Alexander AlexeyevSan Jose SharksD473912-1519537673122219.68%6793719.952464840000131110%11227000.2600001102
12Brett KulakSan Jose SharksD363710-432039484926226.12%5276521.252247790001102000%01637000.2600000020
13Anze KopitarSan Jose SharksC47369-132552936489196.25%1153111.30202390004580163.59%20618000.3411001110
14Adam HenriqueSan Jose SharksC84372801111126933.33%314818.56011190001122154.00%5022000.9400000111
15Michael Dal ColleSan Jose SharksC36314314031242551912.00%53168.7900001000021033.33%6925000.2500000001
16Bobby McMannSan Jose SharksC44123-61602925165136.25%83437.801121150001151038.10%8403000.1700000000
17Travis HamonicSan Jose SharksD27033-54010473215350%1840915.1600000000040000%0411000.1500020010
18Ben ChiarotSan Jose SharksD43022-113410334524730%4460113.99011225000249000%0417000.0700011000
19Ian ColeMilwaukee Admirals (SJS)D3211202010123344125.00%173089.6300005000011000%119000.1300101000
20Trevor van RiemsdykMilwaukee Admirals (SJS)D460220204163310%183156.8500024000022000%018000.1300000000
21Damon SeversonMilwaukee Admirals (SJS)D46011-7415272315560%1649910.8701115000022000%0417000.0400010000
22Kiefer SherwoodMilwaukee Admirals (SJS)RW9011-26011810460%211212.5100002000000075.00%410000.1800000000
23Parker WotherspoonSan Jose SharksD10011-355290100%5656.570000000001000%002000.3000001000
24Anton LindholmMilwaukee Admirals (SJS)D9000-120030000%0202.280000000003000%00000000000000
25Garrett PilonMilwaukee Admirals (SJS)C14000000051120%21017.2400003000000038.46%130300000000000
Statistiques d’équipe totales ou en moyenne87998161259-144762230981120612184046438.05%5631423816.203555901371038112291471171048.27%2859241397010.3621071623141418
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 Sharks199720.9202.4711180146578305100.57171823201
2Linus UllmarkSan Jose Sharks2872010.9013.3316590092928451220.33332818210
3Ivan ProsvetovSan Jose Sharks11000.9003.00600033015000016000
Statistiques d’équipe totales ou en moyenne48172730.9082.98283701141153677132104747411


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
Adam HenriqueSan Jose SharksC351990-02-06CANNo194 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$582,447$0$0$No---------------------------Lien
Alex Killorn (contrat à 1 volet)San Jose SharksLW351989-09-14CANNo194 Lbs6 ft1NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm500,000$194,149$0$0$No---------------------------Lien
Alexander AlexeyevSan Jose SharksD251999-11-15RUSNo214 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$310,638$0$0$No---------------------------Lien
Anze Kopitar (contrat à 1 volet)San Jose SharksC371987-08-24SVNNo225 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm950,000$368,883$0$0$No---------------------------Lien
Ben ChiarotSan Jose SharksD341991-05-09CANNo234 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$194,149$0$0$No500,000$--------500,000$--------No--------Lien
Bobby McMannSan Jose SharksC291996-06-15CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$194,149$0$0$No500,000$--------500,000$--------No--------Lien
Brett KulakSan Jose SharksD311994-01-06CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$194,149$0$0$No500,000$--------500,000$--------No--------Lien
Conor TimminsSan Jose SharksD261998-09-18CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$232,979$0$0$No600,000$--------600,000$--------No--------Lien
Daniil TarasovSan Jose SharksG261999-03-27RUSNo196 Lbs6 ft5NoNoTrade2025-12-16NoNo12025-09-30FalseFalsePro & Farm800,000$310,638$0$0$No---------------------------Lien
Frank VatranoSan Jose SharksLW311994-03-14USANo201 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$194,149$0$0$No500,000$--------500,000$--------No--------Lien
Ivan ProsvetovSan Jose SharksG261999-03-05RUSNo190 Lbs6 ft5NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$194,149$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Kyle Palmieri (contrat à 1 volet)San Jose SharksLW341991-02-01USANo185 Lbs5 ft11NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,693,999$657,776$0$0$No---------------------------Lien
Linus UllmarkSan Jose SharksG311993-07-31SWENo214 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,267,000$491,973$0$0$No1,267,000$--------1,267,000$--------No--------Lien
Michael Dal ColleSan Jose SharksC291996-06-20CANNo195 Lbs6 ft3NoNoTrade2026-05-22NoNo22025-10-24FalseFalsePro & Farm550,000$213,564$0$0$No550,000$--------550,000$--------No--------
Nicolas RoySan Jose SharksC281997-02-05CANNo201 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$388,298$0$0$No---------------------------Lien
Noah HanifinSan Jose SharksD281997-01-25USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,067,000$414,314$0$0$No---------------------------Lien
Ondrej Palat (contrat à 1 volet)San Jose SharksRW341991-03-28CZENo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,067,000$1,967,505$0$0$No---------------------------Lien
Parker WotherspoonSan Jose SharksD271997-08-24CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,525,000$592,154$0$0$No1,525,000$--------1,525,000$--------No--------Lien
Rickard RakellSan Jose SharksC321993-05-05SWENo203 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$776,596$0$0$No---------------------------Lien
Ryan McLeodSan Jose SharksC251999-09-21CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm900,000$349,468$0$0$No900,000$--------900,000$--------No--------Lien
Travis HamonicSan Jose SharksD341990-08-16CANNo205 Lbs6 ft2NoNoTrade2026-05-22NoNo12025-11-01FalseFalsePro & Farm1,220,000$473,723$0$0$No---------------------------Lien
Trevor MooreSan Jose SharksRW301995-03-31USANo194 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$232,979$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.32203 Lbs6 ft21.591,115,455$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
24,539,999$7,942,000$1,100,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex KillornRickard RakellOndrej Palat40122
2Kyle PalmieriRyan McLeodTrevor Moore30122
3Frank VatranoNicolas RoyRickard Rakell20122
4Ondrej PalatMichael Dal ColleRyan McLeod10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicNoah Hanifin40122
2Conor TimminsBrett Kulak30122
3Alexander AlexeyevParker Wotherspoon20122
4Travis HamonicNoah Hanifin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex KillornRickard RakellOndrej Palat60122
2Kyle PalmieriRyan McLeodTrevor Moore40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicNoah Hanifin60122
2Conor TimminsBrett Kulak40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rickard RakellOndrej Palat60122
2Ryan McLeodNicolas Roy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicNoah Hanifin60122
2Conor TimminsBrett Kulak40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rickard Rakell60122Travis HamonicNoah Hanifin60122
2Ondrej Palat40122Conor TimminsBrett Kulak40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rickard RakellOndrej Palat60122
2Ryan McLeodNicolas Roy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicNoah Hanifin60122
2Conor TimminsBrett Kulak40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex KillornRickard RakellOndrej PalatTravis HamonicNoah Hanifin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex KillornRickard RakellOndrej PalatTravis HamonicNoah Hanifin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Henrique, Anze Kopitar, Bobby McMannAdam Henrique, Anze KopitarBobby McMann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Alexeyev, Parker Wotherspoon, Conor TimminsAlexander AlexeyevParker Wotherspoon, Conor Timmins
Tirs de pénalité
Rickard Rakell, Ondrej Palat, Ryan McLeod, Nicolas Roy, Michael Dal Colle
Gardien
#1 : Daniil Tarasov, #2 : Linus Ullmark
Lignes d’attaque personnalisées en prolongation
Rickard Rakell, Ondrej Palat, Ryan McLeod, Nicolas Roy, Michael Dal Colle, Adam Henrique, Anze Kopitar, Alex Killorn, Trevor Moore, Kyle Palmieri
Lignes de défense personnalisées en prolongation
Travis Hamonic, Noah Hanifin, Conor Timmins, Brett Kulak, Alexander Alexeyev


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 Ducks21000001660000000000002100000166040.6676111700051054192782723127517342.86%6266.67%046397547.49%595120649.34%30260150.25%381746194020
2Boston Bruins1010000023-1000000000001010000023-100.00022400011027351903581121500.00%3166.67%046397547.49%595120649.34%30260150.25%189229189
3California Golden Seals2110000078-1110000004221010000036-330.5007132000043052921220711516254250.00%9455.56%046397547.49%595120649.34%30260150.25%351848203617
4Carolina Hurricanes1010000014-31010000014-30000000000000.0001230000102098303491418400.00%7271.43%046397547.49%595120649.34%30260150.25%1772291910
5Chicago Blackhawks30300000716-91010000035-220200000411-700.000711181024108835312201144456657114.29%18572.22%046397547.49%595120649.34%30260150.25%562971265125
6Colorado Avalanche31101000972210010008441010000013-250.55691524000621631623213963382589222.22%16193.75%046397547.49%595120649.34%30260150.25%522475305426
7Columbus Blue Jackets31100010770210000106331010000014-350.55679160020427122232381002740486466.67%20290.00%046397547.49%595120649.34%30260150.25%532777305324
8Detroit Red Wings2020000037-41010000024-21010000013-200.000358001200652033120782948546116.67%14378.57%146397547.49%595120649.34%30260150.25%341750193517
9Edmonton Oilers30200100511-61000010023-12020000038-510.11151015000140912624410903053649111.11%14285.71%046397547.49%595120649.34%30260150.25%552971305325
10Florida Panthers11000000101110000001010000000000031.000112011000283121302371327300.00%40100.00%046397547.49%595120649.34%30260150.25%1892110199
11Hamilton Mustangs11000000312000000000001100000031231.00034700210025889020108164250.00%40100.00%046397547.49%595120649.34%30260150.25%188239179
12Los Angeles Kings2110000035-2110000003211010000003-330.500369001020371214110562836425240.00%13192.31%046397547.49%595120649.34%30260150.25%311351203716
13Montreal Canadiens1010000004-41010000004-40000000000000.000000000000217104031182316200.00%9277.78%046397547.49%595120649.34%30260150.25%167249199
14New Jersey Devils1010000024-2000000000001010000024-200.00023500011030121080381633247114.29%9455.56%046397547.49%595120649.34%30260150.25%2112218169
15New York Islanders1010000014-3000000000001010000014-300.000123001000288812030121219100.00%6266.67%046397547.49%595120649.34%30260150.25%1882281810
16New York Rangers1010000013-21010000013-20000000000000.00011210001016511003581013100.00%50100.00%046397547.49%595120649.34%30260150.25%1452610199
17Ottawa Senators1010000013-21010000013-20000000000000.000123000100226124039131320200.00%4175.00%046397547.49%595120649.34%30260150.25%1782291910
18Philadelphia Flyers11000000321000000000001100000032131.000369000300141670232110215240.00%5180.00%046397547.49%595120649.34%30260150.25%16623101910
19Pittsburgh Penguins1010000013-21010000013-20000000000000.00011200010028951403171115300.00%30100.00%046397547.49%595120649.34%30260150.25%1682410188
20Quebec Nordiques21001000752100010004311100000032150.83371118000241429161617023293711436.36%7185.71%046397547.49%595120649.34%30260150.25%341345203921
21Seattle Kraken2010100035-2100010002111010000014-320.333347000111641625212521910434250.00%5340.00%046397547.49%595120649.34%30260150.25%361844193918
22St Louis Blues21100000440000000000002110000044030.5004610001030711722320542529414250.00%12283.33%046397547.49%595120649.34%30260150.25%361946193617
23Tampa Bay Lightning1010000004-4000000000001010000004-400.0000000000001867503912815200.00%4175.00%046397547.49%595120649.34%30260150.25%156269178
24Toronto Maple Leafs2020000037-41010000024-21010000013-200.00034700111039108210722522334125.00%11463.64%046397547.49%595120649.34%30260150.25%341449183619
25Vancouver Canucks2010000147-31000000123-11010000024-210.167461000211045231365671760418225.00%10370.00%046397547.49%595120649.34%30260150.25%381948203818
26Vegas Golden Knights2110000057-2110000003211010000025-330.5005914002300521034805423164012325.00%8362.50%046397547.49%595120649.34%30260150.25%361744203919
27Winnipeg Jets3110100078-11010000015-42100100063350.55671421000331832431235114424165400.00%13469.23%046397547.49%595120649.34%30260150.25%522571295728
Total4712270411296145-492169031114758-1126618010014987-38490.3489615825421164134611943454373952615385527319321393525.18%2395477.41%146397547.49%595120649.34%30260150.25%8374031126463876433
_Since Last GM Reset4712270411296145-492169031114758-1126618010014987-38490.3489615825421164134611943454373952615385527319321393525.18%2395477.41%146397547.49%595120649.34%30260150.25%8374031126463876433
_Vs Conference31816031127098-281353021113634218313010013464-30350.37670119189101130255836249321250251018363514637852529.41%1583577.85%146397547.49%595120649.34%30260150.25%558278749308572276
_Vs Division1245010022838-105300100114104715000011428-14160.444284977005148130489134769372133165242401435.00%511668.63%046397547.49%595120649.34%30260150.25%216105284121230111

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4749L1961582541194153855273193221
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
471227411296145
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
216931114758
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2661810014987
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1393525.18%2395477.41%1
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
345437395261641346
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
46397547.49%595120649.34%30260150.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8374031126463876433


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 Wings4San Jose Sharks2LSommaire du match
33196Columbus Blue Jackets1San Jose Sharks2WXXSommaire du match
35206Winnipeg Jets5San Jose Sharks1LSommaire du match
38220San Jose Sharks4Chicago Blackhawks6LSommaire du match
41234Chicago Blackhawks5San Jose Sharks3LSommaire du match
45251San Jose Sharks3Winnipeg Jets1WSommaire du match
48263San Jose Sharks1Columbus Blue Jackets4LSommaire du match
51275San Jose Sharks1Detroit Red Wings3LSommaire du match
54294Edmonton Oilers3San Jose Sharks2LXSommaire du match
57303Colorado Avalanche3San Jose Sharks6WSommaire du match
60317San Jose Sharks0Tampa Bay Lightning4LSommaire du match
62329Ottawa Senators3San Jose Sharks1LSommaire du match
64349Montreal Canadiens4San Jose Sharks0LSommaire du match
66364San Jose Sharks3Hamilton Mustangs1WSommaire du match
68378San Jose Sharks3St Louis Blues2WSommaire du match
70391San Jose Sharks2Anaheim Mighty Ducks1WSommaire du match
72405Los Angeles Kings2San Jose Sharks3WSommaire du match
74419San Jose Sharks2Vegas Golden Knights5LSommaire du match
76423San Jose Sharks1New York Islanders4LSommaire du match
78439New York Rangers3San Jose Sharks1LSommaire du match
80450Carolina Hurricanes4San Jose Sharks1LSommaire du match
84472Columbus Blue Jackets2San Jose Sharks4WSommaire du match
87488San Jose Sharks3Winnipeg Jets2WXSommaire du match
89503San Jose Sharks0Chicago Blackhawks5LSommaire du match
92515Quebec Nordiques3San Jose Sharks4WXSommaire du match
93522San Jose Sharks3Quebec Nordiques2WSommaire du match
95533San Jose Sharks1Toronto Maple Leafs3LSommaire du match
98554Toronto Maple Leafs4San Jose Sharks2LSommaire du match
100573Pittsburgh Penguins3San Jose Sharks1LSommaire du match
102583San Jose Sharks3Philadelphia Flyers2WSommaire du match
105602San Jose Sharks1Seattle Kraken4LSommaire du match
107613California Golden Seals2San Jose Sharks4WSommaire du match
110625San Jose Sharks2Vancouver Canucks4LSommaire du match
113635Colorado Avalanche1San Jose Sharks2WXSommaire du match
115649San Jose Sharks1Edmonton Oilers2LSommaire du match
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
Assistance100,19480,83135,59663,35620,664
Attendance PCT80.32%79.20%85.61%76.19%78.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 14316 - 79.53% 1,041,751$21,876,769$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
14,970,879$ 27,289,999$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 14,970,879$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
19,793,267$ 73 145,160$ 10,596,680$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
11,680,000$ 55,311,511$ 64,554,704$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex KillornAGE:35PO:55OV:68
Frank VatranoAGE:31PO:55OV:68
Kyle PalmieriAGE:34PO:55OV:68
EMIL PETTERSSONAGE:31PO:52OV:66
PER ASLUNDAGE:38PO:52OV:66
Cole BardreauAGE:31PO:55OV:65
Jonathan GrudenAGE:25PO:55OV:64
Jere InnalaAGE:27PO:55OV:62
Rickard RakellAGE:32PO:55OV:73
Michael Dal ColleAGE:29PO:55OV:70
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
EMIL PETTERSSONAGE:31PO:52OV:66
MARKUS LJUNGHAGE:34PO:52OV:66
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
EMIL PETTERSSONAGE:31PO:52OV:66
PER ASLUNDAGE:38PO:52OV:66
Kiefer SherwoodAGE:30PO:55OV:65
Alex BelzileAGE:33PO:55OV:64

Défense #1Défense #2Gardien
Travis HamonicAGE:34PO:55OV:75
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
LASSE LAPPALAINENAGE:36PO:52OV:68
VILLE LAJUNENAGE:37PO:52OV:68
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
1x NSHL26 ODW ClaimSan Jose Sharks00
1x RFA TagSan Jose Sharks00
20x LTCsSan Jose Sharks00
800 000 NSHL25 Waiver BucksSan 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

[2026-05-22 3:19:39 PM] TRADE : From San Jose Sharks to New York Islanders : $100,000 (Money).
[2026-05-22 3:19:39 PM] TRADE : From New York Islanders to San Jose Sharks : Travis Hamonic (75).
[2026-05-22 3:19:30 PM] TRADE : From San Jose Sharks to New York Islanders : $100,000 (Money).
[2026-05-22 3:19:30 PM] TRADE : From New York Islanders to San Jose Sharks : Michael Dal Colle (70).
[2026-05-06 3:53:28 PM] New Record for Team's Most Shots Blocked (21) in 1 Game for San Jose Sharks!
[2026-04-20 5:01:15 PM] LASSE LAPPALAINEN signed with San Jose Sharks for $250,000 for 1 year(s) / Option : 1 Way Contract & No Trade.
[2026-04-20 5:01:15 PM] LASSE LAPPALAINEN was added to San Jose Sharks.
[2026-04-20 5:01:04 PM] VILLE LAJUNEN signed with San Jose Sharks for $250,000 for 1 year(s) / Option : 1 Way Contract & No Trade.
[2026-04-20 5:01:04 PM] VILLE LAJUNEN was added to San Jose Sharks.
[2026-04-20 5:00:46 PM] EMIL PETTERSSON signed with San Jose Sharks for $250,000 for 1 year(s) / Option : 1 Way Contract & No Trade.
[2026-04-20 5:00:46 PM] EMIL PETTERSSON was added to San Jose Sharks.
[2026-04-20 5:00:29 PM] MARKUS LJUNGH signed with San Jose Sharks for $250,000 for 1 year(s) / Option : 1 Way Contract & No Trade.
[2026-04-20 5:00:29 PM] MARKUS LJUNGH was added to San Jose Sharks.
[2026-04-20 5:00:14 PM] PER ASLUND signed with San Jose Sharks for $250,000 for 1 year(s) / Option : 1 Way Contract & No Trade.
[2026-04-20 5:00:14 PM] PER ASLUND was added to San Jose Sharks.
[2026-04-17 4:09:17 PM] TRADE : From San Jose Sharks to California Golden Seals : Justin Brazeau (67).
[2026-04-17 4:09:17 PM] TRADE : From California Golden Seals to San Jose Sharks : $100,000 (Money).
[2026-04-04 10:28:26 AM] New Record for Team's Most Shots (42) in 1 Game for San Jose Sharks!
[2026-03-27 11:16:09 AM] TRADE : From San Jose Sharks to Los Angeles Kings : $100,000 (Money).
[2026-03-27 11:16:09 AM] TRADE : From Los Angeles Kings to San Jose Sharks : Cole Bardreau (65).
[2026-03-25 11:31:31 AM] TRADE : From Detroit Red Wings to San Jose Sharks : $60,339 (Money).
[2026-03-25 11:29:19 AM] TRADE : From Winnipeg Jets to San Jose Sharks : $1,159,802 (Money).
[2026-03-25 11:15:35 AM] New Record for Team's Most Penalties Minutes (64) in 1 Game for San Jose Sharks!
[2026-03-25 11:15:35 AM] New Record for Team's Most Points (17) in 1 Game for San Jose Sharks!
[2026-03-25 11:15:35 AM] New Record for Team's Most Assists (11) in 1 Game for San Jose Sharks!
[2026-03-25 11:15:35 AM] New Record for Team's Most Goals (6) in 1 Game for San Jose Sharks!
[2026-03-25 11:15:35 AM] New Record for Team's Most Penalties Minutes (64) in 1 Game for San Jose Sharks!
[2026-02-25 3:07:16 PM] New Record for Team's Most Hits (34) in 1 Game for San Jose Sharks!
[2026-02-25 3:07:16 PM] New Record for Team's Most Shots Blocked (20) in 1 Game for San Jose Sharks!
[2026-02-25 3:07:16 PM] New Record for Team's Most Shots (39) in 1 Game for San Jose Sharks!
[2026-02-09 3:08:41 PM] New Record for Team's Most Penalties Minutes (33) in 1 Game for San Jose Sharks!
[2026-02-08 11:36:52 AM] New Record for Team's Most Penalties Minutes (25) in 1 Game for San Jose Sharks!
[2026-02-04 3:03:29 PM] New Record for Team's Most Hits (32) in 1 Game for San Jose Sharks!
[2026-02-04 3:03:29 PM] New Record for Team's Most Points (11) in 1 Game for San Jose Sharks!
[2026-02-04 3:03:29 PM] New Record for Team's Most Assists (7) in 1 Game for San Jose Sharks!
[2026-02-04 3:03:29 PM] New Record for Team's Most Goals (4) in 1 Game for San Jose Sharks!
[2026-02-02 3:12:09 PM] New Record for Team's Most Penalties Minutes (23) in 1 Game for San Jose Sharks!
[2026-02-02 3:12:09 PM] New Record for Team's Most Shots Blocked (16) in 1 Game for San Jose Sharks!
[2026-01-31 10:15:19 AM] New Record for Team's Most Hits (26) in 1 Game for San Jose Sharks!
[2026-01-31 10:15:19 AM] New Record for Team's Most Shots Blocked (12) in 1 Game for San Jose Sharks!
[2026-01-29 10:02:20 AM] New Record for Team's Most Hits (25) in 1 Game for San Jose Sharks!
[2026-01-29 10:02:20 AM] New Record for Team's Most Shots Blocked (10) in 1 Game for San Jose Sharks!
[2026-01-29 10:02:20 AM] New Record for Team's Most Shots (38) in 1 Game for San Jose Sharks!



Ben Chiarot est dehors pour 6 jours à cause de Right Wrist Injury.
Mark Kastelic est dehors pour 1 semaine à cause de Broken Bone (Right Ankle) Injury.
Mike Reilly est dehors pour 2 semaines à cause de Bruised Left Arm Injury.
PER ASLUND est dehors pour 1 mois à cause de Strained Back Injury.
Tyler Pitlick est dehors pour 3 semaines à cause de Head 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