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Connexion

San Jose Sharks
GP: 34 | W: 11 | L: 20 | OTL: 3 | P: 34
GF: 69 | GA: 108 | PP%: 24.27% | PK%: 78.77%
DG: Jaryn | Morale : 40 | Moyenne d’équipe : 70
Prochains matchs #488 vs Winnipeg Jets

Centre de jeu
Carolina Hurricanes
20-12-2, 53pts
4
1 San Jose Sharks
11-20-3, 34pts
Team Stats
L1SéquenceW1
10-5-2Fiche domicile7-7-2
10-7-0Fiche visiteur4-13-1
5-4-1Derniers 10 matchs5-5-0
2.59Buts par match 2.03
2.50Buts contre par match 3.18
13.97%Pourcentage en avantage numérique24.27%
84.11%Pourcentage en désavantage numérique78.77%
Columbus Blue Jackets
21-9-4, 63pts
2
4 San Jose Sharks
11-20-3, 34pts
Team Stats
L1SéquenceW1
12-4-1Fiche domicile7-7-2
9-5-3Fiche visiteur4-13-1
4-5-1Derniers 10 matchs5-5-0
2.71Buts par match 2.03
2.18Buts contre par match 3.18
18.25%Pourcentage en avantage numérique24.27%
86.81%Pourcentage en désavantage numérique78.77%
San Jose Sharks
11-20-3, 34pts
Jour 87
Winnipeg Jets
18-13-3, 54pts
Statistiques d’équipe
W1SéquenceL1
7-7-2Fiche domicile10-5-2
4-13-1Fiche visiteur8-8-1
5-5-010 derniers matchs3-5-2
2.03Buts par match 2.79
3.18Buts contre par match 2.79
24.27%Pourcentage en avantage numérique17.53%
78.77%Pourcentage en désavantage numérique77.17%
San Jose Sharks
11-20-3, 34pts
Jour 89
Chicago Blackhawks
19-12-3, 57pts
Statistiques d’équipe
W1SéquenceL3
7-7-2Fiche domicile6-6-2
4-13-1Fiche visiteur13-6-1
5-5-010 derniers matchs5-4-1
2.03Buts par match 3.03
3.18Buts contre par match 3.03
24.27%Pourcentage en avantage numérique16.92%
78.77%Pourcentage en désavantage numérique78.72%
Quebec Nordiques
18-15-2, 53pts
Jour 92
San Jose Sharks
11-20-3, 34pts
Statistiques d’équipe
L2SéquenceW1
8-8-1Fiche domicile7-7-2
10-7-1Fiche visiteur4-13-1
5-5-010 derniers matchs5-5-0
3.00Buts par match 2.03
2.97Buts contre par match 2.03
20.35%Pourcentage en avantage numérique24.27%
84.47%Pourcentage en désavantage numérique78.77%
Meneurs d'équipe
Buts
Ondrej Palat
12
Passes
Conor Timmins
18
Points
Conor Timmins
26
Plus/Moins
Trevor van Riemsdyk
1
Victoires
Daniil Tarasov
7
Pourcentage d’arrêts
Daniil Tarasov
0.925

Statistiques d’équipe
Buts pour
69
2.03 GFG
Tirs pour
920
27.06 Avg
Pourcentage en avantage numérique
24.3%
25 GF
Début de zone offensive
36.3%
Buts contre
108
3.18 GAA
Tirs contre
1094
32.18 Avg
Pourcentage en désavantage numérique
78.8%%
38 GA
Début de la zone défensive
41.5%
Informations de l'équipe

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


Informations de l’aréna

NomSAP Center
Capacité18,000
Assistance14,453
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure26
Limite contact 49 / 250
Espoirs10


Finance

Revenu annuel à ce jour16,777,296$
Dépenses annuelles à ce jour10,712,344$
Revenus de la saison estimés25,165,944$
Dépenses de la saison estimées13,628,342$
Compte bancaire actuel54,593,353$
Compte bancaire projeté66,735,008$


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
1Nicolas Roy0X100.0081508273897780668367677467777255407002811,000,000$
2Ryan McLeod0X97.006148826980848964876868776773785540700252900,000$
3Alex Killorn0X100.006642807270828667656966676684685540680351500,000$
4Anze Kopitar0X100.006150715490808469877166626386845540680371950,000$
5Kyle Palmieri0X99.0068448277597980706469696669826755406803411,693,999$
6Trevor Moore0X99.007748797665807765646867696779745540680303600,000$
7Bobby McMann0X100.007347806681738162736463706478805540670292500,000$
8Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
9Noah Hanifin0X100.0074549372938689695375667163778455407402811,067,000$
10Brett Kulak0X100.008547828378797970507365726780715540730312500,000$
11Conor Timmins0X100.005948828686777975507868746973795540730262600,000$
12Alexander Alexeyev0X100.007152877191788369507363736173825540720251800,000$
13Ben Chiarot0X100.008554756296778069507262715981845540720342500,000$
14Damon Severson0X100.007356747382848672527563666679805540710303630,000$
15Ian Cole0X100.007656676090798763506659775588845540710362500,000$
16Trevor van Riemsdyk0X100.005448837479828571507361676181715540690332500,000$
17Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
Rayé
1Ondrej Palat0X82.5885448182688688726175726771818355407303415,067,000$
2Rickard Rakell0X95.0075468577778485728678727072808355407303212,000,000$
3Frank Vatrano0X86.188245747365747368686774697180655540680312500,000$
Équipe Mineure
1Reilly Smith0X96.0067408177618078716275696871817855407003411,700,000$
2Walker Duehr0X96.008451796685747562556766726476825540680272500,000$
3Corey Perry0X100.005555696180797162696568696499995540670401500,000$
4Mark Kastelic0X100.008655616587707560786463726275715540670262800,000$
5Pontus Holmberg0X100.006145767573777564696865726675665540670261500,000$
6Tyler Pitlick0X100.0087497764727569666468656563817755406603311,500,000$
7Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
8Kiefer Sherwood0X100.0076477769587574606964637062797055406503032,184,000$
9Alex Belzile0X100.007044766772707162655861706279695540640332500,000$
10Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
11Jere Innala0X100.005240777261636360605659676276765540620271500,000$
12Parker Wotherspoon0X99.0055447976926977645065617661766955407002721,525,000$
13Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
14John Gilmour0X100.005148796978707662506260685779785540660321625,000$
15Mike Reilly0X98.006144827461727765506863646177805540660313500,000$
16Julius Honka0X100.005440768347656862506461636275585840630294625,000$
17Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
18Adam Henrique0X94.0069428072658086728773706168827555406903511,500,000$
19EMIL PETTERSSON0XXX100.00563367776760606870716462687676524066N0311250,000$
20MARKUS LJUNGH0X100.00523868746060606870726563688291524066N0341250,000$
21PER ASLUND0XX100.00483859726960606748686566679194524066N0381250,000$
22LASSE LAPPALAINEN0X100.00544575708160606348726374608694524068N0361250,000$
23VILLE LAJUNEN0X100.00544071727860607148726763658894524068N0371250,000$
MOYENNE D’ÉQUIPE98.65674577727373756662676569647976564068
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 Ullmark0100.007371758677777879787778806355407503121,267,000$
Rayé
1Ivan Prosvetov0100.00836570887371737373727075575540720263500,000$
Équipe Mineure
1MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
2SAMI RAJANIEMI098.00766060747373747272737078655240700321250,000$
3KARI PIIROINEN0100.00816060767774757777747567565240710241250,000$
MOYENNE D’ÉQUIPE99.6779656782757475767574747460544072
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
1Conor TimminsSan Jose SharksD3481826-1217532649229298.70%3681123.88641018820114138000%02032000.6400010101
2Rickard RakellSan Jose SharksC3271421-73420789012248775.74%2482625.83246207200041331146.70%9701824000.5103013012
3Ondrej PalatSan Jose SharksRW2612618-936105648110194910.91%2561623.6915686210131061239.34%611811000.5804101241
4Kyle PalmieriSan Jose SharksLW349716-13810484287275210.34%1259117.39325963000072034.62%261513000.5400101201
5Alex KillornSan Jose SharksLW317714-8115354359173711.86%1146214.932244250000541055.17%291010000.6000001102
6Ryan McLeodSan Jose SharksC344913-5412569725022348.00%1672121.221564710002852052.36%4451318000.3611122110
7Trevor MooreSan Jose SharksRW316612-1831563528424427.14%857818.661341467000061036.67%301511000.4100111000
8Frank VatranoSan Jose SharksLW284711-7522058315623457.14%1146716.6931411680000250040.00%45158000.4700022002
9Alexander AlexeyevSan Jose SharksD342810-1419524482414178.33%5569020.292464630000102110%11019000.2900001102
10Nicolas RoySan Jose SharksC342810-122004759539363.77%1354215.950331230000641048.56%243713000.3701000001
11Noah HanifinSan Jose SharksD303710-7373545643825147.89%5176625.562355780002144010%01138000.2600133101
12Brett KulakSan Jose SharksD23268-422034313618175.56%3450922.16123356000171000%01123000.3100000020
13Anze KopitarSan Jose SharksC34134-101751723355152.86%736310.70101230003460062.94%14315000.2211001010
14Ben ChiarotSan Jose SharksD34022-93210263522630%3250514.88011224000245000%0314000.0800011000
15Ian ColeSan Jose SharksD2011201410121843125.00%1520310.190000400009000%117000.2000101000
16Trevor van RiemsdykSan Jose SharksD340221203112110%162497.3500011000022000%018000.1600000000
17Bobby McMannSan Jose SharksC34011-516020199480%52477.28011112000170037.93%5801000.0800000000
18Damon SeversonSan Jose SharksD34011-5415251015450%1338711.3901115000019000%0314000.0500010000
19Kiefer SherwoodMilwaukee Admirals (SJS)RW9011-26011810460%211212.5100002000000075.00%410000.1800000000
20Anton LindholmSan Jose SharksD5000020020000%081.650000000000000%00000000000000
21Garrett PilonSan Jose SharksC9000-100021110%2606.7600001000000040.00%50100000000000
Statistiques d’équipe totales ou en moyenne58468114182-1185401807037729093034897.48%388972316.6525416610879011222109410548.47%2061173270000.37210612189913
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 Sharks147420.9252.278190131412226000.57171315201
2Linus UllmarkSan Jose Sharks2031610.8923.5711750070650312220.33332013100
3Ivan ProsvetovSan Jose Sharks11000.9003.00600033015000016000
Statistiques d’équipe totales ou en moyenne35112030.9053.04205401104109255322103434301


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$273,936$0$0$No---------------------------Lien
Alexander AlexeyevSan Jose SharksD251999-11-15RUSNo214 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$438,298$0$0$No---------------------------Lien
Anton LindholmSan Jose SharksD301994-11-29SWENo191 Lbs5 ft11NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------
Anze Kopitar (contrat à 1 volet)San Jose SharksC371987-08-24SVNNo225 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm950,000$520,479$0$0$No---------------------------Lien
Ben ChiarotSan Jose SharksD341991-05-09CANNo234 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Bobby McMannSan Jose SharksC291996-06-15CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Brett KulakSan Jose SharksD311994-01-06CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Conor TimminsSan Jose SharksD261998-09-18CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$328,723$0$0$No600,000$--------600,000$--------No--------Lien
Damon SeversonSan Jose SharksD301994-08-07CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm630,000$345,160$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$438,298$0$0$No---------------------------Lien
Frank VatranoSan Jose SharksLW311994-03-14USANo201 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Garrett PilonSan Jose SharksC271998-04-13CANNo192 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------Lien
Ian Cole (contrat à 1 volet)San Jose SharksD361989-02-21USANo225 Lbs6 ft1NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Ivan ProsvetovSan Jose SharksG261999-03-05RUSNo190 Lbs6 ft5NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$273,936$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$928,095$0$0$No---------------------------Lien
Linus UllmarkSan Jose SharksG311993-07-31SWENo214 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,267,000$694,154$0$0$No1,267,000$--------1,267,000$--------No--------Lien
Nicolas RoySan Jose SharksC281997-02-05CANNo201 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,000,000$547,872$0$0$No---------------------------Lien
Noah HanifinSan Jose SharksD281997-01-25USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,067,000$584,580$0$0$No---------------------------Lien
Ondrej Palat (contrat à 1 volet)San Jose SharksRW341991-03-28CZENo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,067,000$2,776,069$0$0$No---------------------------Lien
Rickard RakellSan Jose SharksC321993-05-05SWENo203 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,095,745$0$0$No---------------------------Lien
Ryan McLeodSan Jose SharksC251999-09-21CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm900,000$493,085$0$0$No900,000$--------900,000$--------No--------Lien
Trevor MooreSan Jose SharksRW301995-03-31USANo194 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$328,723$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$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.35204 Lbs6 ft21.65972,826$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
22,374,999$7,497,000$1,730,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle PalmieriTrevor Moore40122
2Alex KillornRyan McLeodNicolas Roy30122
3Nicolas RoyRyan McLeod20122
4Trevor MooreAnze KopitarKyle Palmieri10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins40122
2Brett KulakAlexander Alexeyev30122
3Ben ChiarotDamon Severson20122
4Ian ColeTrevor van Riemsdyk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle PalmieriTrevor Moore60122
2Alex KillornRyan McLeodNicolas Roy40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins60122
2Brett KulakAlexander Alexeyev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeod60122
2Nicolas RoyTrevor Moore40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins60122
2Brett KulakAlexander Alexeyev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Noah HanifinConor Timmins60122
2Ryan McLeod40122Brett KulakAlexander Alexeyev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeod60122
2Nicolas RoyTrevor Moore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah HanifinConor Timmins60122
2Brett KulakAlexander Alexeyev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle PalmieriTrevor MooreNoah HanifinConor Timmins
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle PalmieriTrevor MooreNoah HanifinConor Timmins
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bobby McMann, Garrett Pilon, Anze KopitarBobby McMann, Garrett PilonAnze Kopitar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anton Lindholm, Ben Chiarot, Damon SeversonAnton LindholmBen Chiarot, Damon Severson
Tirs de pénalité
, Ryan McLeod, Nicolas Roy, Trevor Moore, Anze Kopitar
Gardien
#1 : Linus Ullmark, #2 : Daniil Tarasov
Lignes d’attaque personnalisées en prolongation
, Ryan McLeod, Nicolas Roy, Trevor Moore, Anze Kopitar, Kyle Palmieri, Alex Killorn, Bobby McMann, Garrett Pilon,
Lignes de défense personnalisées en prolongation
Noah Hanifin, Conor Timmins, Brett Kulak, Alexander Alexeyev, Ben Chiarot


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%034574746.18%42185449.30%23445551.43%381746194020
2Boston Bruins1010000023-1000000000001010000023-100.00022400011027351903581121500.00%3166.67%034574746.18%42185449.30%23445551.43%189229189
3California Golden Seals1010000036-3000000000001010000036-300.0003580002103581413040710162150.00%6350.00%034574746.18%42185449.30%23445551.43%2012239157
4Carolina Hurricanes1010000014-31010000014-30000000000000.0001230000102098303491418400.00%7271.43%034574746.18%42185449.30%23445551.43%1772291910
5Chicago Blackhawks20200000711-41010000035-21010000046-200.00071118102410722927160713040504125.00%10370.00%034574746.18%42185449.30%23445551.43%402246163316
6Colorado Avalanche21100000761110000006331010000013-230.5007132000061041918140681974427228.57%12191.67%034574746.18%42185449.30%23445551.43%351649193517
7Columbus Blue Jackets31100010770210000106331010000014-350.55679160020427122232381002740486466.67%20290.00%034574746.18%42185449.30%23445551.43%532777305324
8Detroit Red Wings2020000037-41010000024-21010000013-200.000358001200652033120782948546116.67%14378.57%134574746.18%42185449.30%23445551.43%341750193517
9Edmonton Oilers2010010049-51000010023-11010000026-410.1674812000130611522240651934498112.50%7185.71%034574746.18%42185449.30%23445551.43%392146193416
10Florida Panthers11000000101110000001010000000000031.000112011000283121302371327300.00%40100.00%034574746.18%42185449.30%23445551.43%1892110199
11Hamilton Mustangs11000000312000000000001100000031231.00034700210025889020108164250.00%40100.00%034574746.18%42185449.30%23445551.43%188239179
12Los Angeles Kings2110000035-2110000003211010000003-330.500369001020371214110562836425240.00%13192.31%034574746.18%42185449.30%23445551.43%311351203716
13Montreal Canadiens1010000004-41010000004-40000000000000.000000000000217104031182316200.00%9277.78%034574746.18%42185449.30%23445551.43%167249199
14New Jersey Devils1010000024-2000000000001010000024-200.00023500011030121080381633247114.29%9455.56%034574746.18%42185449.30%23445551.43%2112218169
15New York Islanders1010000014-3000000000001010000014-300.000123001000288812030121219100.00%6266.67%034574746.18%42185449.30%23445551.43%1882281810
16New York Rangers1010000013-21010000013-20000000000000.00011210001016511003581013100.00%50100.00%034574746.18%42185449.30%23445551.43%1452610199
17Ottawa Senators1010000013-21010000013-20000000000000.000123000100226124039131320200.00%4175.00%034574746.18%42185449.30%23445551.43%1782291910
18Seattle Kraken10001000211100010002110000000000020.6672350001013881711221100253133.33%000%034574746.18%42185449.30%23445551.43%2213208189
19St Louis Blues21100000440000000000002110000044030.5004610001030711722320542529414250.00%12283.33%034574746.18%42185449.30%23445551.43%361946193617
20Tampa Bay Lightning1010000004-4000000000001010000004-400.0000000000001867503912815200.00%4175.00%034574746.18%42185449.30%23445551.43%156269178
21Vancouver Canucks1000000123-11000000123-10000000000010.333235000110241173526825304125.00%5180.00%034574746.18%42185449.30%23445551.43%211122102010
22Vegas Golden Knights2110000057-2110000003211010000025-330.5005914002300521034805423164012325.00%8362.50%034574746.18%42185449.30%23445551.43%361744203919
23Winnipeg Jets2110000046-21010000015-41100000031230.500481200022064232219065263750400.00%11372.73%034574746.18%42185449.30%23445551.43%381945193617
Total349200111269108-391657011113445-1118413000013563-28340.333691141832113312339202703612811710943955617271032524.27%1793878.77%134574746.18%42185449.30%23445551.43%626312804330625308
_Since Last GM Reset349200111269108-391657011113445-1118413000013563-28340.333691141832113312339202703612811710943955617271032524.27%1793878.77%134574746.18%42185449.30%23445551.43%626312804330625308
_Vs Conference24712011125778-211143011113031-11339000012747-20280.38957971541092719368520328019417770282416538722230.56%1242579.84%134574746.18%42185449.30%23445551.43%448230570234437211
_Vs Division933010022128-7420010011082513000011120-9130.481213758003125124068113549269107114204331133.33%381073.68%034574746.18%42185449.30%23445551.43%170852088917284

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3434W169114183920109439556172721
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34920111269108
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
165711113445
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1841300013563
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1032524.27%1793878.77%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
270361281171331233
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
34574746.18%42185449.30%23445551.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
626312804330625308


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 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
Assistance76,66961,96428,20748,61715,788
Attendance PCT80.67%79.69%89.04%76.73%78.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 14453 - 80.29% 1,048,581$16,777,296$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
10,712,344$ 24,874,999$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 10,712,344$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
25,165,944$ 103 132,314$ 13,628,342$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
14,456,977$ 54,593,353$ 66,735,008$



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
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
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
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

[2026-04-20 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!



Adam Henrique est dehors pour 1 jours à cause de Exhaustion.
Frank Vatrano est dehors pour 1 semaine à cause de Right Ankle Injury.
Ondrej Palat est dehors pour 2 semaines à cause de Severed Left Wrist Tendons 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