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Connexion

Sharks
GP: 74 | W: 26 | L: 37 | OTL: 11 | P: 63
GF: 263 | GA: 316 | PP%: 15.68% | PK%: 78.74%
DG: Gord Trann | Morale : 15 | Moyenne d’équipe : 72
Prochains matchs #1139 vs Blackhawks

Centre de jeu
Panthers
34-32-8, 76pts
4
2 Sharks
26-37-11, 63pts
Team Stats
L1SéquenceL2
14-17-5Fiche domicile13-20-4
20-15-3Fiche visiteur13-17-7
6-4-0Derniers 10 matchs2-5-3
4.30Buts par match 3.55
4.47Buts contre par match 4.27
22.65%Pourcentage en avantage numérique15.68%
85.77%Pourcentage en désavantage numérique78.74%
Islanders
41-22-9, 91pts
6
3 Sharks
26-37-11, 63pts
Team Stats
W4SéquenceL2
21-12-4Fiche domicile13-20-4
20-10-5Fiche visiteur13-17-7
8-1-1Derniers 10 matchs2-5-3
3.96Buts par match 3.55
3.74Buts contre par match 4.27
18.78%Pourcentage en avantage numérique15.68%
83.33%Pourcentage en désavantage numérique78.74%
Sharks
26-37-11, 63pts
Jour 96
Blackhawks
42-30-2, 86pts
Statistiques d’équipe
L2SéquenceL1
13-20-4Fiche domicile24-12-0
13-17-7Fiche visiteur18-18-2
2-5-310 derniers matchs7-3-0
3.55Buts par match 4.27
4.27Buts contre par match 4.27
15.68%Pourcentage en avantage numérique20.86%
78.74%Pourcentage en désavantage numérique79.22%
Sharks
26-37-11, 63pts
Jour 97
Flyers
22-49-2, 46pts
Statistiques d’équipe
L2SéquenceL1
13-20-4Fiche domicile10-24-2
13-17-7Fiche visiteur12-25-0
2-5-310 derniers matchs2-8-0
3.55Buts par match 3.75
4.27Buts contre par match 3.75
15.68%Pourcentage en avantage numérique16.30%
78.74%Pourcentage en désavantage numérique78.87%
Wild
52-19-2, 106pts
Jour 99
Sharks
26-37-11, 63pts
Statistiques d’équipe
W5SéquenceL2
29-6-1Fiche domicile13-20-4
23-13-1Fiche visiteur13-17-7
8-2-010 derniers matchs2-5-3
4.56Buts par match 3.55
3.29Buts contre par match 3.55
16.41%Pourcentage en avantage numérique15.68%
87.98%Pourcentage en désavantage numérique78.74%
Meneurs d'équipe
Mark ScheifeleButs
Mark Scheifele
34
Passes
Cale Makar
70
Points
Cale Makar
87
Mathew BarzalPlus/Moins
Mathew Barzal
4
Jacob MarkstromVictoires
Jacob Markstrom
13
Jacob MarkstromPourcentage d’arrêts
Jacob Markstrom
0.897

Statistiques d’équipe
Buts pour
263
3.55 GFG
Tirs pour
2745
37.09 Avg
Pourcentage en avantage numérique
15.7%
37 GF
Début de zone offensive
38.1%
Buts contre
316
4.27 GAA
Tirs contre
2873
38.82 Avg
Pourcentage en désavantage numérique
78.7%%
27 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralGord Trann
EntraîneurJared Bednar
DivisionPacific
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomHP Pavilion
Capacité18,000
Assistance17,602
Billets de saison10,800


Informations de la formation

Équipe Pro20
Équipe Mineure27
Limite contact 47 / 100
Espoirs22


Plafond salarial

Cap Salarial de la Saison estimé74,138,788$
Plafond salarial disponible361,212$
Valeur du plafond salarial spécial-5,000,000$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour52,611,452$
Dépenses annuelles à ce jour64,020,770$
Revenus de la saison estimés8,531,587$
Dépenses de la saison estimées17,118,050$
Compte bancaire actuel105,469,888$
Compte bancaire projeté96,571,576$


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
1Mark ScheifeleX100.0074548077788499828888935865858880477803324,355,000$
2Tage ThompsonXX100.0074548782857993847580966057737380467702833,562,000$
3Anthony CirelliXX100.0061419087717998709079837925758078707602822,564,000$
4Tomas HertlX100.0080459273817590809680916038838778467503225,019,000$
5Dylan HollowayX100.0086459681777494734582856425646678467302433,365,000$
6Mathew BarzalXXX100.0070439682718453824482746145757871717202822,610,000$
7Sean CouturierX100.0069538573807696699778706356858770347103325,250,000$
8Alexis LafreniereX100.0080448782757599693675715763717370207002421,797,000$
9Corey PerryX100.0063837967776198664962735561999966386704011,520,000$
10Nick CousinsXXX100.008356777268616763296665656078826333650321750,000$
11Cale MakarX100.00674294996893989325848083457175795480027314,000,100$
12Mikhail SergachevX100.0071448880799294912576659263768172498002723,080,000$
13Jackson LaCombeX100.0073448985778592792568628725636371387502534,360,000$
14Ian ColeX100.0078557573848099602554479125849164347503714,100,000$
15Chris Tanev (R)X100.0060429077727892632555499325858862367403614,164,000$
16Mattias EkholmX100.0066448772858584652567568025859165307303514,138,000$
17Damon SeversonX100.0066538275757787642560498056838362327103133,150,000$
Rayé
1Zach DeanX100.007467936268393748634843594246465043520232852,500$
Équipe Mineure
1Nick SuzukiXX100.0071439783738499909393866761737580897902612,586,000$
2Matty BeniersX100.0065429578717999828678797132676873967402332,900,000$
3Timo MeierXXX100.0083588078807797733475836361788176887302922,618,000$
4Cutter Gauthier (R)X100.0071439393776799753877776525585872947202232,762,000$
5Keegan KolesarX99.0095967982826499623469716525707368876902921,750,000$
6Zach BensonXX100.006441797464689267316762662563626593650202950,000$
7Justin BrazeauX100.0081469271866193653261656325585965876502832,850,000$
8Gage Goncalves (R)XX97.0077439378696391624366646275535365636402531,487,000$
9Liam Ohgren (R)X100.0075439874705881662560576325484861876102231,338,000$
10Liam O'BrienX100.009999547682545258255654592567675887600311750,000$
11Oliver Kapanen (R)X100.0056419778745757655159546475474758886002231,307,000$
12Reid SchaeferX100.0077836365844946635056676564454562535902231,147,000$
13Jake LeschyshynX100.007470866570788552684655605446465887580271997,000$
14Tristen RobinsX100.007367886668596056505355615345455849570241863,333$
15Cooper GayX100.005542998084283060255055652544445716550241750,000$
16Jalen ChatfieldX97.0072568083737696622552547825687061887002922,850,000$
17Arber XhekajX100.0093985371926587642551517525646457876902511,340,000$
18Brandt ClarkeX100.006042847277699573256650682558586066660232863,333$
19Tyson BarrieX100.0071439169706849732550516537848657766403412,463,000$
20Cavan FitzgeraldX100.0077748765745253482539426041464651855602911,000,000$
21Sam Rinzel (R)X100.0077699982714952402526385837464647885602131,275,000$
22Artem GrushnikovX100.0077748864765153432531395837464648715502311,000,000$
23Bobby McMannXXX100.0083558891806791723170836225626271907102922,125,000$
24Jimmy Snuggerud (R)X100.0078699981704951435037446042454551255302131,264,000$
MOYENNE D’ÉQUIPE99.83745686777668806744646467426667656268
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
1Jacob Markstrom100.006479788764657767656585747667607003623,816,000$
2Alexandar Georgiev100.006579776765646967656593676866546703023,259,000$
Rayé
Équipe Mineure
1Adin Hill99.007380778673788279817385646572927603012,150,000$
2Connor Murphy2100.004440508545904650918145444460896102711,000,000$
3Pheonix Copley100.00565366845657596359593054555820600341750,000$
MOYENNE D’ÉQUIPE99.8060667082617167657269686162656367
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jared Bednar81847781838377CAN4442,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’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
1Cale MakarSharksD74177087-35100841504561771833.73%157206327.8961622101270000596410%08573000.8400000112
2Mark ScheifeleSharksC74344882-184351531302888121011.81%34157421.2861016441951012360259.36%13782919011.0414001345
3Tage ThompsonSharksC/LW74333568-133115125772607816212.69%43132417.9025723174000173059.38%964616121.0302012343
4Tomas HertlSharksC74263561-81201411032085313312.50%36143319.37066241840000323161.87%5352228010.8501000620
5Mikhail SergachevSharksD74114556-724098144219100895.02%154194426.286410432710222113000%03268000.5802000100
6Dylan HollowaySharksLW74233053-12010664158449414.56%2495512.910002131011162243.33%302621001.1100000132
7Corey PerrySharksRW5891827-204525616178296111.54%21111219.191457106000002143.71%6201018000.4902221001
8Nick CousinsSharksC/LW/RW48141226-233801237184295616.67%2991219.011121690001290135.08%724911000.5701000512
9Sean CouturierSharksC7481725-19100667772155111.11%2690812.28369221520113870055.31%508713000.5512000011
10Jackson LaCombeSharksD7451823-14120741089942435.05%112141419.111013111000167010%01458100.3300000000
11Chris TanevSharksD7441923-24100471229449324.26%122147819.970001460110101010%0646000.3100000010
12Gage GoncalvesBarracuda (SJS)C/RW419918-182051439324509.68%2677218.840002210000141034.81%1811413000.4701000020
13Anthony CirelliSharksC/RW2271017-455223963234511.11%1148221.9523511662022282068.00%751013000.7001001011
14Mathew BarzalSharksC/LW/RW22781542013237519469.33%935616.200000400000191028.57%1495000.8400000210
15Damon SeversonSharksD7411314-2312034893713142.70%73100313.55000370000011000%0429000.2800000000
16Mattias EkholmSharksD7411112-1813542825617191.79%6097913.2400008000012000%01238000.2500010001
17Alexis LafreniereSharksLW61459-155557346420416.25%1263910.48000090002521021.43%1498000.2800010000
18Jimmy SnuggerudBarracuda (SJS)RW42437-22040202371217.39%1353112.6400001000000016.67%1207000.2600000000
19Zach DeanSharksC28303-10003812127025.00%635112.5700001000070051.72%2902000.1700000000
20Reid SchaeferBarracuda (SJS)LW1030311410126101330.00%411711.7400000000031085.71%702000.5100020010
21Ian ColeSharksD74022220731220%6580.7900011000004000%003000.6900000000
22Liam O'BrienBarracuda (SJS)C40114215933030%14812.0300000000000066.67%301000.4200100000
23Tristen RobinsBarracuda (SJS)RW21011-1320282915170%1032715.6100004000000033.33%904000.0600000000
24Justin BrazeauBarracuda (SJS)RW11011000130433.33%02020.2710116000000031.43%3501000.9900000000
25Oliver KapanenBarracuda (SJS)C1000-200122000%11616.0200000000100050.00%20000000000000
26Brandt ClarkeBarracuda (SJS)D32000000000000%0140.460000000000000%00000000000000
27Cooper GayBarracuda (SJS)RW2000-100030020%02110.7300000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne1281224410634-2763177514321496247383113629.06%9902086316.29295584289183944821744201051.17%4274344497240.61216375222218
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
1Alexandar GeorgievSharks42132150.8874.422229201641451812220.700103935113
2Jacob MarkstromSharks44131660.8973.902248201461419784010.62583539212
Statistiques d’équipe totales ou en moyenne862637110.8924.164477403102870159623187474325


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Alexandar GeorgievSharksG301996-02-10BULNo178 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro & Farm3,259,000$678,958$3,259,000$678,958$No3,259,000$--------1,818,000$--------No--------Lien / Lien NHL
Alexis LafreniereSharksLW242001-10-11CANNo196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,797,000$374,375$1,797,000$374,375$No1,797,000$--------925,000$--------No--------Lien
Anthony CirelliSharksC/RW281997-07-15CANNo191 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro & Farm2,564,000$534,167$2,564,000$534,167$No2,308,000$--------835,791$--------No--------Lien / Lien NHL
Cale MakarSharksD271998-10-30CANNo187 Lbs6 ft0NoNoN/ANoYes3FalseFalsePro & Farm14,000,100$2,916,688$14,000,100$2,916,688$No14,000,100$14,000,100$-------14,000,099$14,000,099$-------NoNo-------Lien
Chris TanevSharksD361989-12-20CANYes199 Lbs6 ft3NoNoAssign ManuallyNoNo12025-11-17FalseFalsePro & Farm4,164,000$867,500$4,164,000$867,500$No---------3,816,000$4,500,000$4,500,000$4,500,000$--------------Lien
Corey PerrySharksRW401985-05-16CANNo208 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm1,520,000$316,667$1,520,000$316,667$No---------------------------Lien / Lien NHL
Damon SeversonSharksD311994-08-07CANNo204 Lbs6 ft2NoNoAssign Manually2024-09-03NoYes32025-11-06FalseFalsePro & Farm3,150,000$656,250$3,150,000$656,250$No3,150,000$3,150,000$-------3,150,000$3,150,000$-------NoNo-------Lien / Lien NHL
Dylan HollowaySharksLW242001-09-23CANNo206 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm3,365,000$701,042$3,365,000$701,042$No3,365,000$3,365,000$-------3,365,000$3,365,000$-------NoNo-------Lien
Ian ColeSharksD371989-02-21USANo237 Lbs6 ft1NoNoTrade2025-01-20NoYes1FalseFalsePro & Farm4,100,000$854,167$4,100,000$854,167$No---------------------------Lien / Lien NHL
Jackson LaCombeSharksD252001-01-09USANo205 Lbs6 ft2NoNoN/ANoYes32025-10-22FalseFalsePro & Farm4,360,000$908,333$4,360,000$908,333$No4,360,000$4,360,000$-------4,360,000$4,360,000$-------NoNo-------Lien
Jacob MarkstromSharksG361990-01-31SWENo207 Lbs6 ft6NoNoTrade2024-10-02NoYes2FalseFalsePro & Farm3,816,000$795,000$3,816,000$795,000$No3,816,000$--------1,461,000$--------No--------Lien / Lien NHL
Mark ScheifeleSharksC331993-03-15CANNo207 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro & Farm4,355,000$907,292$4,355,000$907,292$No4,355,000$--------1,907,000$--------No--------Lien / Lien NHL
Mathew BarzalSharksC/LW/RW281997-05-26CANNo190 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro & Farm2,610,000$543,750$2,610,000$543,750$No2,610,000$--------925,000$--------No--------Lien / Lien NHL
Mattias EkholmSharksD351990-05-24SWENo225 Lbs6 ft5NoNoTrade2025-01-17NoYes1FalseFalsePro & Farm4,138,000$862,083$4,138,000$862,083$No---------------------------Lien / Lien NHL
Mikhail SergachevSharksD271998-06-25RUSNo212 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro & Farm3,080,000$641,667$3,080,000$641,667$No3,080,000$--------826,928$--------No--------Lien / Lien NHL
Nick CousinsSharksC/LW/RW321993-07-20CANNo186 Lbs5 ft11NoNoAssign ManuallyNoYes12025-02-18FalseFalsePro & Farm750,000$156,250$750,000$156,250$No---------------------------Lien / Lien NHL
Sean CouturierSharksC331992-12-07USANo210 Lbs6 ft4NoNoFree AgentNoYes22024-09-18FalseFalsePro & Farm5,250,000$1,093,750$5,250,000$1,093,750$No5,250,000$--------5,250,000$--------No--------Lien
Tage ThompsonSharksC/LW281997-10-30USANo220 Lbs6 ft6NoNoN/ANoYes32025-04-30FalseFalsePro & Farm3,562,000$742,083$3,562,000$742,083$No3,562,000$3,562,000$-------3,562,000$3,562,000$-------NoNo-------Lien / Lien NHL
Tomas HertlSharksC321993-11-12CZENo220 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro & Farm5,019,000$1,045,625$5,019,000$1,045,625$No5,019,000$--------5,166,000$--------No--------Lien / Lien NHL
Zach DeanSharksC232003-01-04CANNo186 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm852,500$177,604$852,500$177,604$No852,500$--------852,500$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.45204 Lbs6 ft22.003,785,580$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,711,600$60,783,600$28,437,100$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor McDavidCorey PerryNick Cousins35023
2Tage ThompsonMark ScheifeleAnthony Cirelli35122
3Dylan HollowayTomas HertlMathew Barzal20023
4Alexis LafreniereSean CouturierConnor McDavid10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarChris Tanev45131
2Mikhail SergachevJackson LaCombe30131
3Mattias EkholmDamon Severson20131
4Cale MakarMikhail Sergachev5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor McDavidTomas HertlAnthony Cirelli55014
2Tage ThompsonMark ScheifeleAnthony Cirelli45014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarMikhail Sergachev60023
2Jackson LaCombeChris Tanev40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliConnor McDavid70131
2Mark ScheifeleTage Thompson30131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarMikhail Sergachev60131
2Jackson LaCombeChris Tanev40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor McDavid60131Cale MakarMikhail Sergachev60131
2Mark Scheifele40131Jackson LaCombeChris Tanev40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliConnor McDavid60023
2Mark ScheifeleTage Thompson40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarMikhail Sergachev60122
2Jackson LaCombeChris Tanev40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor McDavidCorey PerryTage ThompsonCale MakarMikhail Sergachev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor McDavidCorey PerryTage ThompsonCale MakarMikhail Sergachev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Cirelli, Tomas Hertl, Connor McDavidAnthony Cirelli, Tomas HertlAnthony Cirelli
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Tanev, Mattias Ekholm, Damon SeversonChris TanevChris Tanev, Mattias Ekholm
Tirs de pénalité
Connor McDavid, Corey Perry, Mark Scheifele, Tage Thompson, Anthony Cirelli
Gardien
#1 : Jacob Markstrom, #2 : Alexandar Georgiev
Lignes d’attaque personnalisées en prolongation
Connor McDavid, Corey Perry, Mark Scheifele, Tage Thompson, Anthony Cirelli, Tomas Hertl, Alexis Lafreniere, Dylan Holloway, Mathew Barzal, Sean Couturier
Lignes de défense personnalisées en prolongation
Cale Makar, Mikhail Sergachev, Jackson LaCombe, Chris Tanev, Mattias Ekholm


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
1Avalanche210001009901000010045-11100000054130.7509162500243084352225271266465240.00%3166.67%0956174054.94%839164850.91%572118248.39%432443183819
2Blackhawks11000000642110000006420000000000021.0006101600312030126120376017300.00%000%0956174054.94%839164850.91%572118248.39%20101892010
3Blue Jackets20200000413-91010000034-11010000019-800.000481200211080361232084281039600.00%5180.00%0956174054.94%839164850.91%572118248.39%412343183517
4Blues302010001012-22010100078-11010000034-120.33310162600324195333823113644268600.00%10100.00%0956174054.94%839164850.91%572118248.39%593163265931
5Bruins20100100711-41000010045-11010000036-310.2507111800322088273328083322375120.00%10100.00%0956174054.94%839164850.91%572118248.39%422442173619
6Canadiens2010010069-31010000046-21000010023-110.2506121800222082372318485264424125.00%20100.00%0956174054.94%839164850.91%572118248.39%472739163719
7Canucks523000001820-2312000001014-42110000086240.4001835531078302197692510184804810521419.05%9366.67%1956174054.94%839164850.91%572118248.39%1096195449451
8Capitals21100000101001010000068-21100000042220.500101727001630761927300862922368225.00%11554.55%0956174054.94%839164850.91%572118248.39%381947183417
9Coyotes2010010047-31010000024-21000010023-110.25045900121059232610058186381000.00%3233.33%0956174054.94%839164850.91%572118248.39%401836194424
10Devils2010100058-3100010003211010000026-420.5005914002021743413243781703612216.67%000%0956174054.94%839164850.91%572118248.39%432238173822
11Ducks5220100012111211000005503110100076160.60012193100182115844654811849426992414.17%13192.31%0956174054.94%839164850.91%572118248.39%9948107499450
12Flames1010000058-3000000000001010000058-300.000581300032043101716052224162150.00%20100.00%0956174054.94%839164850.91%572118248.39%2011228178
13Flyers2200000015871100000010551100000053241.00015274200942067342580622040401100.00%5260.00%0956174054.94%839164850.91%572118248.39%411936184224
14Golden Knights6220010121210220000001165402001011015-560.5002136570093912329064769207802413112216.67%12375.00%1956174054.94%839164850.91%572118248.39%129701185511861
15Islanders20200000612-61010000036-31010000036-300.000612180024006123221608820443400.00%20100.00%0956174054.94%839164850.91%572118248.39%402142163619
16Jets20200000711-41010000056-11010000025-300.00071219002230682918210773013396233.33%40100.00%0956174054.94%839164850.91%572118248.39%392141193819
17Kings532000002320321100000871321000001513260.6002337600086902006072680182755110728517.86%18383.33%0956174054.94%839164850.91%572118248.39%10555103469148
18Lightning210001007611000010034-11100000042230.750711180011506923192708829437500.00%20100.00%0956174054.94%839164850.91%572118248.39%351644193920
19Maple Leafs2010000179-21010000034-11000000145-110.250712190022308428272576617249400.00%10100.00%0956174054.94%839164850.91%572118248.39%502935173920
20Oilers513010001928-9312000001317-420101000611-540.400192847006571183547751121270209311545.45%10280.00%0956174054.94%839164850.91%572118248.39%9954109469446
21Panthers312000001315-22110000010731010000038-520.333132033003550138514542012138177115426.67%6183.33%1956174054.94%839164850.91%572118248.39%673959265227
22Penguins20001100990100010004311000010056-130.7509132200134174202426472224366116.67%20100.00%0956174054.94%839164850.91%572118248.39%412138174022
23Predators2020000039-61010000004-41010000035-200.0003581002105043412053216416116.67%3166.67%0956174054.94%839164850.91%572118248.39%361536214723
24Rangers1010000025-3000000000001010000025-300.00024600002019501403216211100.00%10100.00%0956174054.94%839164850.91%572118248.39%16621102211
25Red Wings31101000121112010100079-21100000052340.6671223350052411103740312141511365500.00%40100.00%1956174054.94%839164850.91%572118248.39%623464245529
26Sabres210000017611000000134-11100000042230.750713200022319028283288635647300.00%30100.00%0956174054.94%839164850.91%572118248.39%412245193818
27Senators201000108801010000034-11000001054120.5008122000241283252434390370423133.33%000%0956174054.94%839164850.91%572118248.39%382046184020
28Stars1010000024-21010000024-20000000000000.0002351001102941312036110222150.00%000%0956174054.94%839164850.91%572118248.39%1991992111
29Whalers2020000049-51010000014-31010000035-200.000481200130067312214078214367114.29%220.00%0956174054.94%839164850.91%572118248.39%412139183820
30Wild1000010023-1000000000001000010023-110.50024600110033159904417414100.00%20100.00%0956174054.94%839164850.91%572118248.39%199239189
Total74193706813263316-533792004301140159-1937101702512123157-34630.42626344670930818986102745947937835452873103234415032363715.68%1272778.74%4956174054.94%839164850.91%572118248.39%153281315256811426748
_Since Last GM Reset74193706813263316-533792004301140159-1937101702512123157-34630.42626344670930818986102745947937835452873103234415032363715.68%1272778.74%4956174054.94%839164850.91%572118248.39%153281315256811426748
_Vs Conference41122103401141167-2620711011007384-1121510023016883-15350.42714123437530434847414834895534341415335942108361372417.52%801680.00%2956174054.94%839164850.91%572118248.39%842442839385798415
_Vs Division2710130210198108-101266000004749-21547021015159-8260.481981632611031333231035334387310111021421173551981818.37%641281.25%2956174054.94%839164850.91%572118248.39%564300557251510266

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7463L2263446709274528731032344150330
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7419376813263316
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
379204301140159
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3710172512123157
Derniers 10 matchs
WLOTWOTL SOWSOL
250201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2363715.68%1272778.74%4
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
9479378354581898610
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
956174054.94%839164850.91%572118248.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
153281315256811426748


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
12Sharks6Kings4WSommaire du match
220Canucks4Sharks2LSommaire du match
337Golden Knights4Sharks7WSommaire du match
453Sharks4Golden Knights5LXSommaire du match
671Canucks1Sharks5WSommaire du match
891Sharks2Ducks1WXSommaire du match
9104Oilers7Sharks1LSommaire du match
10127Sharks1Kings3LSommaire du match
11134Sharks5Flames8LSommaire du match
13146Blues3Sharks4WXSommaire du match
15170Red Wings4Sharks1LSommaire du match
16184Sharks4Ducks2WSommaire du match
17197Kings3Sharks5WSommaire du match
19219Ducks2Sharks4WSommaire du match
20240Sharks5Flyers3WSommaire du match
21247Sharks4Oilers3WXSommaire du match
22262Sharks3Golden Knights5LSommaire du match
23272Red Wings5Sharks6WXSommaire du match
24292Oilers3Sharks7WSommaire du match
26308Sharks5Senators4WXXSommaire du match
27324Stars4Sharks2LSommaire du match
28340Sharks2Oilers8LSommaire du match
29352Ducks3Sharks1LSommaire du match
31374Sharks8Kings6WSommaire du match
32382Sharks3Whalers5LSommaire du match
33395Predators4Sharks0LSommaire du match
34414Flyers5Sharks10WSommaire du match
36437Penguins3Sharks4WXSommaire du match
37453Sharks3Panthers8LSommaire du match
38466Sharks5Red Wings2WSommaire du match
39480Avalanche5Sharks4LXSommaire du match
40496Lightning4Sharks3LXSommaire du match
41504Sharks3Predators5LSommaire du match
43525Sharks2Wild3LXSommaire du match
44541Senators4Sharks3LSommaire du match
45559Sharks1Blue Jackets9LSommaire du match
46570Sharks4Lightning2WSommaire du match
47581Whalers4Sharks1LSommaire du match
49598Coyotes4Sharks2LSommaire du match
50604Sharks2Golden Knights3LXXSommaire du match
52625Sharks1Ducks3LSommaire du match
53641Capitals8Sharks6LSommaire du match
54651Sharks4Capitals2WSommaire du match
55668Blues5Sharks3LSommaire du match
57688Sharks3Blues4LSommaire du match
58700Canucks9Sharks3LSommaire du match
59717Sharks3Bruins6LSommaire du match
61731Oilers7Sharks5LSommaire du match
62748Sharks3Islanders6LSommaire du match
63757Sharks2Rangers5LSommaire du match
64769Devils2Sharks3WXSommaire du match
65786Sharks5Penguins6LXSommaire du match
66799Blue Jackets4Sharks3LSommaire du match
68818Sharks1Golden Knights2LSommaire du match
69830Panthers3Sharks8WSommaire du match
71856Maple Leafs4Sharks3LSommaire du match
72863Sharks4Sabres2WSommaire du match
74880Sharks2Devils6LSommaire du match
75893Blackhawks4Sharks6WSommaire du match
76915Sabres4Sharks3LXXSommaire du match
78930Sharks6Canucks2WSommaire du match
79944Sharks2Coyotes3LXSommaire du match
80954Kings4Sharks3LSommaire du match
81970Sharks2Jets5LSommaire du match
82983Jets6Sharks5LSommaire du match
841007Bruins5Sharks4LXSommaire du match
871031Canadiens6Sharks4LSommaire du match
881048Sharks4Maple Leafs5LXXSommaire du match
891050Sharks2Canucks4LSommaire du match
901069Sharks2Canadiens3LXSommaire du match
911078Sharks5Avalanche4WSommaire du match
921084Golden Knights2Sharks4WSommaire du match
941109Panthers4Sharks2LSommaire du match
951129Islanders6Sharks3LSommaire du match
961139Sharks-Blackhawks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971155Sharks-Flyers-
991169Wild-Sharks-
1001179Sharks-Flames-
1021199Sharks-Stars-
1031207Rangers-Sharks-
1051232Flames-Sharks-
1061242Sharks-Flames-
1091264Golden Knights-Sharks-
1121285Canucks-Sharks-
1131304Sharks-Stars-
1181332Flames-Sharks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets75503520125
Assistance215,794182,76272,713143,41136,591
Attendance PCT97.20%98.79%98.26%96.90%98.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 17602 - 97.79% 1,421,931$52,611,452$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
64,020,770$ 80,166,600$ 80,166,600$ 2,000,000$0$ -5,000,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
668,055$ 62,437,413$ 2,470,087$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
8,531,587$ 25 684,722$ 17,118,050$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
17,786,269$ 105,469,888$ 96,571,576$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,138,788$ 361,212$ 74,500,000$ 15,638,788$



Charte de profondeur

Ailier gaucheCentreAilier droit
Tage ThompsonAGE:28PO:80OV:77
Dylan HollowayAGE:24PO:78OV:73
Timo MeierAGE:29PO:76OV:73
Cutter Gauthier (R)AGE:22PO:72OV:72
Mathew BarzalAGE:28PO:71OV:72
Bobby McMannAGE:29PO:71OV:71
Alexis LafreniereAGE:24PO:70OV:70
Zach BensonAGE:20PO:65OV:65
Nick CousinsAGE:32PO:63OV:65
Liam Ohgren (R)AGE:22PO:61OV:61
Reid SchaeferAGE:22PO:62OV:59
Nick SuzukiAGE:26PO:80OV:79
Mark ScheifeleAGE:33PO:80OV:78
Tage ThompsonAGE:28PO:80OV:77
Anthony CirelliAGE:28PO:78OV:76
Tomas HertlAGE:32PO:78OV:75
Matty BeniersAGE:23PO:73OV:74
Timo MeierAGE:29PO:76OV:73
Mathew BarzalAGE:28PO:71OV:72
Bobby McMannAGE:29PO:71OV:71
Sean CouturierAGE:33PO:70OV:71
Nick CousinsAGE:32PO:63OV:65
Gage Goncalves (R)AGE:25PO:65OV:64
Liam O'BrienAGE:31PO:58OV:60
Oliver Kapanen (R)AGE:22PO:58OV:60
Jake LeschyshynAGE:27PO:58OV:58
Zach DeanAGE:23PO:50OV:52
Nick SuzukiAGE:26PO:80OV:79
Anthony CirelliAGE:28PO:78OV:76
Timo MeierAGE:29PO:76OV:73
Mathew BarzalAGE:28PO:71OV:72
Bobby McMannAGE:29PO:71OV:71
Keegan KolesarAGE:29PO:68OV:69
Corey PerryAGE:40PO:66OV:67
Zach BensonAGE:20PO:65OV:65
Justin BrazeauAGE:28PO:65OV:65
Nick CousinsAGE:32PO:63OV:65
Gage Goncalves (R)AGE:25PO:65OV:64
Tristen RobinsAGE:24PO:58OV:57
Cooper GayAGE:24PO:57OV:55
Jimmy Snuggerud (R)AGE:21PO:51OV:53

Défense #1Défense #2Gardien
Cale MakarAGE:27PO:79OV:80
Mikhail SergachevAGE:27PO:72OV:80
Jackson LaCombeAGE:25PO:71OV:75
Ian ColeAGE:37PO:64OV:75
Chris Tanev (R)AGE:36PO:62OV:74
Mattias EkholmAGE:35PO:65OV:73
Damon SeversonAGE:31PO:62OV:71
Jalen ChatfieldAGE:29PO:61OV:70
Arber XhekajAGE:25PO:57OV:69
Brandt ClarkeAGE:23PO:60OV:66
Tyson BarrieAGE:34PO:57OV:64
Cavan FitzgeraldAGE:29PO:51OV:56
Sam Rinzel (R)AGE:21PO:47OV:56
Artem GrushnikovAGE:23PO:48OV:55
Adin HillAGE:30PO:72OV:76
Jacob MarkstromAGE:36PO:67OV:70
Alexandar GeorgievAGE:30PO:66OV:67
Connor Murphy2AGE:27PO:60OV:61
Pheonix CopleyAGE:34PO:58OV:60

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
Antoine DorionSharks2024215
Artemi KnyazevSharks201955Lien
Ben MerrillSharks2024174
Dalyn WakelySharks2024188
Ethan BowenSharks2020211
Evan PassmoreSharks2025177
Hunter St. MartinSharks2024184
Jake FisherSharks2024136
Joe VrbeticSharks2021213
Marco MignosaSharks2025208
Marcus DavidssonSharks201740
Martin MisiakSharks2023692025-01-20
Matthew RempeSharks00Lien
Nate BenoitSharks2021189
Nicklas JensenSharks00
Oliver BonkSharks202325
Owen GriffinSharks2025146
Sean BehrensSharks202151
Spencer GillSharks202466
Tarin SmithSharks202479
Theodore NiederbachSharks202056
Tij IginlaSharks2024112025-01-29

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Sharks Historique de transactions

[2/5/2026 5:00:23 PM] Charles Martin was released.
[2/5/2026 5:00:23 PM] Sharks paid $0 to release Charles Martin.
[2/5/2026 4:59:43 PM] Charles Martin was added to Sharks.
[2/3/2026 6:06:27 PM] Cavan Fitzgerald was added to Sharks.
[2/3/2026 6:05:10 PM] Cooper Gay was added to Sharks.
[1/14/2026 1:41:02 PM] Offer from Sharks for Zack Bolduc of $800,000 for 3 year(s) with $0 in bonus has been refused.



Pas de blessure ou de suspension.


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

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

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

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

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