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Centre de jeu
Sharks
1-2-0, 2pts
4
FINAL
3 Oilers
2-2-0, 4pts
Team Stats
L1StreakOTW1
0-1-0Home Record0-1-0
1-1-0Away Record2-1-0
1-2-0Last 10 Games2-2-0
2.33Goals Per Game2.00
4.67Goals Against Per Game2.25
15.79%Power Play Percentage16.67%
64.71%Penalty Kill Percentage84.62%
Sharks
1-2-0, 2pts
1
FINAL
4 Canucks
2-1-0, 4pts
Team Stats
L1StreakW2
0-1-0Home Record1-0-0
1-1-0Away Record1-1-0
1-2-0Last 10 Games2-1-0
2.33Goals Per Game3.33
4.67Goals Against Per Game2.33
15.79%Power Play Percentage33.33%
64.71%Penalty Kill Percentage100.00%
Flames
2-0-1, 5pts
Jour 7
Sharks
1-2-0, 2pts
Stats Équipe
OTW1SéquenceL1
0-0-1Fiche domicile0-1-0
2-0-0Fiche visiteur1-1-0
2-0-110 derniers matchs1-2-0
4.33Buts par match 2.33
3.67Buts contre par match 4.67
11.11%Pourcentage en avantage numérique15.79%
100.00%Pourcentage en désavantage numérique64.71%
GoldenKnights
2-0-1, 5pts
Jour 8
Sharks
1-2-0, 2pts
Stats Équipe
OTL1SéquenceL1
1-0-1Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-0-110 derniers matchs1-2-0
3.67Buts par match 2.33
2.33Buts contre par match 4.67
5.56%Pourcentage en avantage numérique15.79%
71.43%Pourcentage en désavantage numérique64.71%
Blackhawks
0-3-1, 1pts
Jour 10
Sharks
1-2-0, 2pts
Stats Équipe
L1SéquenceL1
0-2-1Fiche domicile0-1-0
0-1-0Fiche visiteur1-1-0
0-3-110 derniers matchs1-2-0
2.25Buts par match 2.33
4.00Buts contre par match 4.67
15.38%Pourcentage en avantage numérique15.79%
92.00%Pourcentage en désavantage numérique64.71%
Meneurs d'équipe
Patrik LaineButs
Patrik Laine
2
Filip HronekPasses
Filip Hronek
2
Filip HronekPoints
Filip Hronek
2
Jakob PelletierPlus/Moins
Jakob Pelletier
1
Joonas KorpisaloVictoires
Joonas Korpisalo
1
Vitek VanecekPourcentage d’arrêts
Vitek Vanecek
0.929

Stats Équipe
Buts pour
7
2.33 GFG
Tirs pour
103
34.33 Avg
Pourcentage en avantage numérique
15.8%
3 GF
Début de zone offensive
42.5%
Buts contre
14
4.67 GAA
Tirs contre
104
34.67 Avg
Pourcentage en désavantage numérique
64.7%
6 GA
Début de la zone défensive
40.4%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur général
EntraîneurDrew Bannister
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1Ryan Strome
Assistant #2Kasperi Kapanen
Uniformes
Informations de l’aréna
NomWest Coast Arena
Capacité25,000
Assistance18,832
Billets de saison10,000
Information formation
Équipe Pro20
Équipe Mineure29
Limite contact 49 / 50
Espoirs30
Plafond salarial
Cap Salarial de la Saison estimé66,052,418$
Plafond salarial disponible23,947,582$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20
Finance
Revenu annuel à ce jour1,649,570$
Dépenses annuelles à ce jour2,395,026$
Revenus de la saison estimés65,982,800$
Dépenses de la saison estimées68,657,412$
Compte bancaire actuel19,238,925$
Compte bancaire projeté14,317,973$
Historique d'équipe
Saison actuelle1-2-0 (2PTS)
Historique673-837-133 (0.410%)
Apparitions séries éliminatoires 4
Historique séries éliminatoires (W-L)7-16
Stanley Cup0


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
1Fabian ZetterlundX97.0083528783698299654061698080747865207102654,000,000$
2Pavel ZachaX98.0058558582708799698873647651788355207102845,500,000$
3Brett HowdenX100.0075567982667998668857747840767860207002733,000,000$
4Patrik LaineX100.0052548583737979714061826285767860206902717,500,000$
5Ryan Strome (A)X100.0055527383598299667771606861868435206803215,000,000$
6Kevin StenlundX100.0054558077747999599454647840808050206702912,000,000$
7Connor BrownX100.0045448882537899604057637640848140206603113,000,000$
8Jesperi KotkaniemiX100.0060577779697896628762636573727570206602514,235,000$
9Matej BlumelX100.004844828560766669406070704072747020660251825,000$
10Jakob PelletierX100.0062388684407477614060627540707275206402411,017,500$
11Kasperi Kapanen (A)X100.0071488577607489547750575840807750206202913,000,000$
12Filip ZadinaX100.0058468580566050584051656560746765206002613,025,000$
13Adam LarssonX100.0070568278718599614061619040888730207503324,500,000$
14Filip HronekX100.0074467786568985694078608140788455207402861$
15Bowen ByramX100.0061517983668799664071617740707975207202436,200,000$
16Kevin BahlX100.0075648075888593574059557940727970207202572,000,000$
17Ty EmbersonX100.0079548576627595534052537840727470206902511,250,000$
18Anthony DeangeloX100.0051428488498967704075646567828645206803015,000,000$
Rayé
Équipe Mineure
1Noah GregorX100.0082567976627379514045566599767560206102711,232,000$
2Mikael PyyhtiaX100.005242877849757551404557744070737520600243575,000$
3Florian Xhekaj (R)X100.007676398171786846703359704064719020590213925,000$
4Marian StudenicX100.0058458678526050534057496040766860205702711,364,000$
5Nathan SmithX100.009943777550695943704342559076736020560271770,000$
6Karl HenrikssonX100.006857867543605040403544604070657520520241925,000$
7Reece NewkirkX100.0062747375506050364038346340706575205102411,017,500$
8Timur IbragimovX100.004844897552605040403644604072667020510251907,500$
9Stelio MattheosX100.006851697563605037403638504074676520500263575,000$
10Albin GreweX100.005960797549605032403530504070657520480243575,000$
11Maxim GolodX100.005769837552605034403435504072667020480253575,000$
12Sawyer Boulton (R)X100.007177338466605027402035574064629020480213575,000$
13David JiricekX100.006353807671705157405460614066688520610221925,000$
14Dysin MayoX100.008746607556625741403647554080715020580291575,000$
15Ryan JohnsonX100.004548787561706534403434704070707520580241750,000$
16Michael KrutilX100.007952847569555031403230544068628020550233575,000$
17Riley StillmanX100.007864577561555037403441514076666020550271575,000$
18Joey KeaneX100.006061777556555038403936504074656520530263575,000$
19Peter AbbandonatoX100.0059578777546050497053456040766860205602711,001,000$
20Maxwell CrozierX100.006964617666565155405951709972647020620251632,500$
21Leon GawankeX100.0067637179625550584061565340746565205902611,232,000$
22Cameron CrottyX100.006856737573686331403330534074716520570261100,100$
23Alex Kannok-LeipertX100.006058587561635834403038594072687020560253575,000$
24Charlie Wright (R)X100.005843888753555033403630574066618520550223575,000$
25Axel AnderssonX100.0058568175595550324030346140726470205402511,119,250$
MOYENNE D’ÉQUIPE99.88655477796170695048495165487472652061
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
1Joonas Korpisalo99.008263639182797981807979848240197803122,500,000$
2Vitek Vanecek100.008260608673666767666996807350207002912,500,000$
Rayé
Équipe Mineure
1Dustin Tokarski100.00775060865050505050505094721521590361575,000$
2Jaxson Stauber100.00755060855050505050506074626521570261650,000$
3Ilya Konovalov100.00765060855050505050506076636020570271770,000$
4Hugo Alnefelt100.007650608450505050505087706075205602411,017,500$
MOYENNE D’ÉQUIPE99.8378546186595858585858728069512063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Drew Bannister94898789865068CAN5145,000,000$


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
1Filip HronekSharksD3022-180458470.00%37424.92011617000110000.00%000000.5300000000
2Brett HowdenSharksC3112-200116162166.25%05418.32011215000050054.88%8200000.7300000000
3Patrik LaineSharksLW3202-2001281625.00%15418.31101515000050050.00%200000.7300000010
4Pavel ZachaSharksC3022-30067134110.00%37725.690224160001140043.70%11900000.5200000001
5Kevin StenlundSharksC3022100203240.00%03010.0900000000000052.78%3600001.3200000000
6Adam LarssonSharksD3112-1806292411.11%67424.8310171700009000.00%000000.5400000000
7Anthony DeangeloSharksD3011000014010.00%24013.410000000016000.00%000000.5000000000
8Bowen ByramSharksD3011-300256340.00%36822.9300041400009000.00%000000.2900000000
9Fabian ZetterlundSharksLW3011-3401443240.00%07324.560111160000110027.27%1100000.2700000000
10Connor BrownSharksRW3011-2000111190.00%14916.5600031500000000.00%400000.4000000000
11Jakob PelletierSharksRW31011005351420.00%0299.91000000000000100.00%100000.6700000000
12Matej BlumelSharksLW31011202432533.33%03010.09000000000000100.00%200000.6600000000
13Ryan StromeSharksRW3101-32031711014.29%16220.87101516000001066.67%300000.3200000000
14Kasperi KapanenSharksLW3000020300010.00%0175.68000000000100100.00%100000.0000000000
15Filip ZadinaSharksRW3000000020100.00%0165.530000000000000.00%000000.0000000000
16Kevin BahlSharksD3000-320733150.00%16722.4300011400007000.00%000000.0000000000
17Jesperi KotkaniemiSharksC3000000032020.00%1186.2800000000020068.42%1900000.0000000000
18Ty EmbersonSharksD3000060532140.00%33411.410000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne5471219-20340715210328976.80%2587516.21358381610003821049.64%28000000.4300000011
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
1Joonas KorpisaloSharks31200.8564.911590013900000.000030000
2Vitek VanecekSharks10000.9293.0020001140000.000003000
Statistiques d’équipe totales ou en moyenne41200.8654.6718000141040000.000033000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Adam LarssonSharksD331992-11-12No207 Lbs6 ft3NoNoYes2Pro & Farm4,500,000$4,500,000$4,348,315$No4,500,000$
UFA
Lien / Lien NHL
Anthony DeangeloSharksD301995-10-24No180 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$4,831,461$No
UFA
Lien / Lien NHL
Bowen ByramSharksD242001-06-13No205 Lbs6 ft1NoNoYes3Pro Only6,200,000$6,200,000$5,991,011$No6,200,000$6,200,000$
RFA
Lien / Lien NHL
Brett HowdenSharksC271998-03-29No201 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$2,898,876$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Connor BrownSharksRW311994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$2,898,876$No
UFA
Lien / Lien NHL
Fabian ZetterlundSharksLW261999-08-25No220 Lbs5 ft11NoNoYes5Pro & Farm4,000,000$4,000,000$3,865,169$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
Filip HronekSharksD281997-11-02No190 Lbs6 ft0YesNoYes6Pro Only1$1$1$No7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Filip ZadinaSharksRW261999-11-27No190 Lbs6 ft0NoNoYes1Pro & Farm3,025,000$3,025,000$2,923,034$No
RFA
Lien / Lien NHL
Jakob PelletierSharksRW242001-03-07No170 Lbs5 ft9NoNoNo1Pro & Farm1,017,500$1,017,500$983,202$No
RFA
Lien / Lien NHL
Jesperi KotkaniemiSharksC252000-07-06No203 Lbs6 ft3NoNoYes1Pro & Farm4,235,000$4,235,000$4,092,247$No
RFA
Lien / Lien NHL
Joonas KorpisaloSharksG311994-04-28No182 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$2,415,730$No2,500,000$
UFA
Lien / Lien NHL
Kasperi KapanenSharksLW291996-07-23No194 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$3,000,000$2,898,876$No
UFA
Lien / Lien NHL
Kevin BahlSharksD252000-06-27No230 Lbs6 ft6NoNoNo7Pro & Farm2,000,000$2,000,000$1,932,584$No2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Lien / Lien NHL
Kevin StenlundSharksC291996-09-20No213 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$1,932,584$No
UFA
Lien / Lien NHL
Matej BlumelSharksLW252000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm825,000$825,000$797,191$No
RFA
Lien / Lien NHL
Patrik LaineSharksLW271998-04-19No208 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$7,247,191$No
UFA
Lien / Lien NHL
Pavel ZachaSharksC281997-04-06No206 Lbs6 ft3NoNoYes4Pro Only5,500,000$5,500,000$5,314,607$No5,500,000$5,500,000$5,500,000$
UFA
Lien / Lien NHL
Ryan StromeSharksRW321993-07-11No192 Lbs6 ft1NoNoYes1Pro Only5,000,000$5,000,000$4,831,461$No
UFA
Lien / Lien NHL
Ty EmbersonSharksD252000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$1,207,865$No
RFA
Lien / Lien NHL
Vitek VanecekSharksG291996-01-09No180 Lbs6 ft1NoNoYes1Pro & Farm2,500,000$2,500,000$2,415,730$No
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.70197 Lbs6 ft12.203,302,625$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
66,052,501$34,700,000$27,700,000$18,500,000$13,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundPavel ZachaRyan Strome40122
2Patrik LaineBrett HowdenConnor Brown30122
3Matej BlumelKevin StenlundJakob Pelletier20122
4Kasperi KapanenJesperi KotkaniemiFilip Zadina10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek40122
2Bowen ByramKevin Bahl30122
3Ty EmbersonAnthony Deangelo20122
4Adam LarssonFilip Hronek10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundPavel ZachaRyan Strome60122
2Patrik LaineBrett HowdenConnor Brown40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel ZachaFabian Zetterlund60122
2Brett HowdenPatrik Laine40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pavel Zacha60122Adam LarssonFilip Hronek60122
2Fabian Zetterlund40122Bowen ByramKevin Bahl40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel ZachaFabian Zetterlund60122
2Brett HowdenPatrik Laine40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundPavel ZachaRyan StromeAdam LarssonFilip Hronek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundPavel ZachaRyan StromeAdam LarssonFilip Hronek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Stenlund, Matej Blumel, Jesperi KotkaniemiKevin Stenlund, Matej BlumelJesperi Kotkaniemi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Emberson, Anthony Deangelo, Bowen ByramTy EmbersonAnthony Deangelo, Bowen Byram
Tirs de pénalité
Pavel Zacha, Fabian Zetterlund, Brett Howden, Patrik Laine, Ryan Strome
Gardien
#1 : Joonas Korpisalo, #2 : Vitek Vanecek


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
1Avalanche1010000027-51010000027-50000000000000.0002460001103481115040412213133.33%6183.33%06211952.10%5211346.02%254852.08%2618197137
2Canucks1010000014-3000000000001010000014-300.00012300001020767037101428600.00%7357.14%06211952.10%5211346.02%254852.08%2315247126
3Oilers11000000431000000000001100000043121.00046100021104999310271182210220.00%4250.00%06211952.10%5211346.02%254852.08%2416227136
Total31200000714-71010000027-52110000057-220.33371219002230103242653010425347119315.79%17664.71%06211952.10%5211346.02%254852.08%745066223819
_Since Last GM Reset31200000714-71010000027-52110000057-220.33371219002230103242653010425347119315.79%17664.71%06211952.10%5211346.02%254852.08%745066223819
_Vs Conference31200000714-71010000027-52110000057-220.33371219002230103242653010425347119315.79%17664.71%06211952.10%5211346.02%254852.08%745066223819
_Vs Division2110000057-2000000000002110000057-220.50058130021206916153806421225016212.50%11554.55%06211952.10%5211346.02%254852.08%473147152512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32L17121910310425347100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3120000714
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000027
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000057
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
19315.79%17664.71%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
24265302230
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
6211952.10%5211346.02%254852.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
745066223819


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
113Avalanche7Sharks2BLSommaire du match
322Sharks4Oilers3AWSommaire du match
543Sharks1Canucks4ALSommaire du match
757Flames-Sharks-
866GoldenKnights-Sharks-
1081Blackhawks-Sharks-
1399RedWings-Sharks-
16123Sharks-Ducks-
17131Sharks-Kings-
20153GoldenKnights-Sharks-
22171Predators-Sharks-
24188Panthers-Sharks-
26200Sharks-Jets-
27204Sharks-Wild-
29222Blues-Sharks-
31238Canadiens-Sharks-
35262Blackhawks-Sharks-
37280Avalanche-Sharks-
40295Sharks-Bruins-
42313Sharks-RedWings-
43318Sharks-BlueJackets-
45340Sharks-Penguins-
48362Bruins-Sharks-
50377Canucks-Sharks-
52392Capitals-Sharks-
55411Sharks-Canucks-
57424Sharks-Oilers-
59438Sharks-Flames-
61462Sharks-Jets-
64481Mammoth-Sharks-
71512Sharks-Capitals-
72514Sharks-Panthers-
74531Sharks-Lightning-
77547Sharks-Mammoth-
78560Penguins-Sharks-
81583Senators-Sharks-
83601Sharks-GoldenKnights-
85610Oilers-Sharks-
86619Kings-Sharks-
88634Lightning-Sharks-
91653Sharks-Avalanche-
93665Sharks-Flames-
95680Sharks-Oilers-
97700Ducks-Sharks-
98711Mammoth-Sharks-
99724Kings-Sharks-
101739Jets-Sharks-
103751Sharks-Wild-
105763Sharks-Blackhawks-
108791Stars-Sharks-
111810Devils-Sharks-
113819Sharks-Mammoth-
114830Sharks-Stars-
116845Hurricanes-Sharks-
119863Sharks-Canadiens-
120875Sharks-Senators-
123895Sharks-MapleLeafs-
124896Sharks-Sabres-
127925Sharks-GoldenKnights-
128936Canucks-Sharks-
130955Oilers-Sharks-
133979Blues-Sharks-
135995MapleLeafs-Sharks-
1371008Predators-Sharks-
1391016Flames-Sharks-
1411033Sharks-Blues-
1421039Sharks-Stars-
1441054Wild-Sharks-
1471074Flyers-Sharks-
1491090BlueJackets-Sharks-
1511104Rangers-Sharks-
1531107Sharks-Ducks-
1551125Sharks-Hurricanes-
1581148Sharks-Predators-
1611166Islanders-Sharks-
1631179Sabres-Sharks-
1671199Sharks-Devils-
1691224Sharks-Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711235Sharks-Flyers-
1721240Sharks-Islanders-
1751257Sharks-Kings-
1771268Ducks-Sharks-


Charte de profondeur
Ailier gaucheCentreAilier droit
Fabian Zetterlund
Fabian Zetterlund
AGE:26
SK:83
EN:82
DU:99
PH:65
PA:61
SC:69
DF:80
Patrik Laine
Patrik Laine
AGE:27
SK:83
EN:79
DU:79
PH:71
PA:61
SC:82
DF:62
Matej Blumel
Matej Blumel
AGE:25
SK:85
EN:76
DU:66
PH:69
PA:60
SC:70
DF:70
Kasperi Kapanen
Kasperi Kapanen
AGE:29
SK:77
EN:74
DU:89
PH:54
PA:50
SC:57
DF:58
Noah Gregor
Noah Gregor
AGE:27
SK:76
EN:73
DU:79
PH:51
PA:45
SC:56
DF:65
Mikael Pyyhtia
Mikael Pyyhtia
AGE:24
SK:78
EN:75
DU:75
PH:51
PA:45
SC:57
DF:74
Marian Studenic
Marian Studenic
AGE:27
SK:78
EN:60
DU:50
PH:53
PA:57
SC:49
DF:60
Karl Henriksson
Karl Henriksson
AGE:24
SK:75
EN:60
DU:50
PH:40
PA:35
SC:44
DF:60
Reece Newkirk
Reece Newkirk
AGE:24
SK:75
EN:60
DU:50
PH:36
PA:38
SC:34
DF:63
Timur Ibragimov
Timur Ibragimov
AGE:25
SK:75
EN:60
DU:50
PH:40
PA:36
SC:44
DF:60
Sawyer Boulton (R)
Sawyer Boulton
AGE:21
SK:84
EN:60
DU:50
PH:27
PA:20
SC:35
DF:57
Albin Grewe
Albin Grewe
AGE:24
SK:75
EN:60
DU:50
PH:32
PA:35
SC:30
DF:50
Maxim Golod
Maxim Golod
AGE:25
SK:75
EN:60
DU:50
PH:34
PA:34
SC:35
DF:50
Pavel Zacha
Pavel Zacha
AGE:28
SK:82
EN:87
DU:99
PH:69
PA:73
SC:64
DF:76
Brett Howden
Brett Howden
AGE:27
SK:82
EN:79
DU:98
PH:66
PA:57
SC:74
DF:78
Kevin Stenlund
Kevin Stenlund
AGE:29
SK:77
EN:79
DU:99
PH:59
PA:54
SC:64
DF:78
Jesperi Kotkaniemi
Jesperi Kotkaniemi
AGE:25
SK:79
EN:78
DU:96
PH:62
PA:62
SC:63
DF:65
Florian Xhekaj (R)
Florian Xhekaj
AGE:21
SK:81
EN:78
DU:68
PH:46
PA:33
SC:59
DF:70
Peter Abbandonato
Peter Abbandonato
AGE:27
SK:77
EN:60
DU:50
PH:49
PA:53
SC:45
DF:60
Nathan Smith
Nathan Smith
AGE:27
SK:75
EN:69
DU:59
PH:43
PA:43
SC:42
DF:55
Ryan Strome
Ryan Strome
AGE:32
SK:83
EN:82
DU:99
PH:66
PA:71
SC:60
DF:68
Connor Brown
Connor Brown
AGE:31
SK:82
EN:78
DU:99
PH:60
PA:57
SC:63
DF:76
Jakob Pelletier
Jakob Pelletier
AGE:24
SK:84
EN:74
DU:77
PH:61
PA:60
SC:62
DF:75
Filip Zadina
Filip Zadina
AGE:26
SK:80
EN:60
DU:50
PH:58
PA:51
SC:65
DF:65
Stelio Mattheos
Stelio Mattheos
AGE:26
SK:75
EN:60
DU:50
PH:37
PA:36
SC:38
DF:50

Défense #1Défense #2Gardien
Adam Larsson
Adam Larsson
AGE:33
SK:78
EN:85
DU:99
PH:61
PA:61
SC:61
DF:90
Filip Hronek
Filip Hronek
AGE:28
SK:86
EN:89
DU:85
PH:69
PA:78
SC:60
DF:81
Bowen Byram
Bowen Byram
AGE:24
SK:83
EN:87
DU:99
PH:66
PA:71
SC:61
DF:77
Kevin Bahl
Kevin Bahl
AGE:25
SK:75
EN:85
DU:93
PH:57
PA:59
SC:55
DF:79
Ty Emberson
Ty Emberson
AGE:25
SK:76
EN:75
DU:95
PH:53
PA:52
SC:53
DF:78
Anthony Deangelo
Anthony Deangelo
AGE:30
SK:88
EN:89
DU:67
PH:70
PA:75
SC:64
DF:65
Maxwell Crozier
Maxwell Crozier
AGE:25
SK:76
EN:56
DU:51
PH:55
PA:59
SC:51
DF:70
David Jiricek
David Jiricek
AGE:22
SK:76
EN:70
DU:51
PH:57
PA:54
SC:60
DF:61
Leon Gawanke
Leon Gawanke
AGE:26
SK:79
EN:55
DU:50
PH:58
PA:61
SC:56
DF:53
Ryan Johnson
Ryan Johnson
AGE:24
SK:75
EN:70
DU:65
PH:34
PA:34
SC:34
DF:70
Dysin Mayo
Dysin Mayo
AGE:29
SK:75
EN:62
DU:57
PH:41
PA:36
SC:47
DF:55
Cameron Crotty
Cameron Crotty
AGE:26
SK:75
EN:68
DU:63
PH:31
PA:33
SC:30
DF:53
Alex Kannok-Leipert
Alex Kannok-Leipert
AGE:25
SK:75
EN:63
DU:58
PH:34
PA:30
SC:38
DF:59
Charlie Wright (R)
Charlie Wright
AGE:22
SK:87
EN:55
DU:50
PH:33
PA:36
SC:30
DF:57
Michael Krutil
Michael Krutil
AGE:23
SK:75
EN:55
DU:50
PH:31
PA:32
SC:30
DF:54
Riley Stillman
Riley Stillman
AGE:27
SK:75
EN:55
DU:50
PH:37
PA:34
SC:41
DF:51
Axel Andersson
Axel Andersson
AGE:25
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
Joey Keane
Joey Keane
AGE:26
SK:75
EN:55
DU:50
PH:38
PA:39
SC:36
DF:50
Joonas Korpisalo
Joonas Korpisalo
AGE:31
SK:82
AG:82
RB:79
SC:79
HS:81
RT:80
DF:79
Vitek Vanecek
Vitek Vanecek
AGE:29
SK:82
AG:73
RB:66
SC:67
HS:67
RT:66
DF:69
Dustin Tokarski
Dustin Tokarski
AGE:36
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jaxson Stauber
Jaxson Stauber
AGE:26
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Ilya Konovalov
Ilya Konovalov
AGE:27
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Hugo Alnefelt
Hugo Alnefelt
AGE:24
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam JiricekSharks203821
Arttu KarkiSharks2037113
Artyom GalimovSharks2034100
Artyom GoncharSharks2039131
Ashton CumbySharks2039193
Axel LandenSharks2037163
Brady MartinSharks20397
Chase CheslockSharks2037194
Cole ReschnySharks203913
Damian ClaraSharks203765
Daniil ChechelevSharks2034102
Dominic BasseSharks2033178
Ian ScottSharks2031147
Jacob GoldenSharks2031190
Jaromir PytlikSharks203493
Jesse NurmiSharks2037145
Jonathan CastagnaSharks203794
Joshua RavensbergenSharks203938
Julius MiettinenSharks203840
Kalan LindSharks203757
Kirill UstimenkoSharks2031126
Liam PetterssonSharks203969
Linus FunckSharks2039162
Marcus KarlbergSharks203296
Paul FischerSharks2037168
Sacha BoisvertSharks203816
Sean KeohaneSharks2037214
Thimo NicklSharks2034124
Tommy LafreniereSharks2039100
Visa VedenpaaSharks2037209

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Sharks Leaders statistiques (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
1Milan Michalek845250314564-495658971403237110.54%2691687119.977612119754922458381634.39%40.671780
2Alexander Svitov13381993295289113551468155120859.54%6932029315.1727467317711152677331151.61%40.52627
3Rich Peverley649182309491-191753001818173110.51%2041272319.605211516731226839171456.01%30.77623
4Ryan Strome641163273436-982204641422151610.75%1211170718.2646841303281453721851.00%50.74827
5Braydon Coburn116199324423-11817302238112513417.38%15892406420.7362861486582101217830.00%00.3501

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
1Jonas Hiller506207242410.8993.272933860715971575314673570.772224
2Vitek Vanecek241100107170.8893.591321320779171060250.72755
3Keith Kinkaid128506480.8893.8370438244940580440.68635
4Jose Theodore92483650.9132.63536719323527041104900.86050
5Jose Theodore81413090.9102.8048244322525001059200.61834

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
Saison régulière
20178238300313725624214412113011231411202141171702014115122-783256418674030599398257607469208902584863144317632504417.60%3105083.87%111076202853.06%1043201851.68%695138250.29%167690618918551564773
201882343401283228237-941181601222121123-241161800061107114-772228359587040558381236606848328242471866148716251903317.37%2504980.40%11960185151.86%1094206253.06%660130250.69%162383917467881609805
201982313404274223227-441162300101102120-18411511041731211071472223343566200448484271007819519502599881103019292194420.09%2685180.97%31031207749.64%1023211848.30%544115347.18%170995817787781502722
20208236310138326323627411816011501381102841181500233125126-1772634036660104810898283908721028923262083798920382434016.46%2133683.10%81122225349.80%1011205849.13%618123150.20%1785103317267521469722
202182234305254230285-5541122302130114145-3141112003124116140-2458230409639120866866243108377677952611748106218774528518.81%4419678.23%71539301950.98%1470309447.51%652129850.23%1927131220216261034509
202282293900446234285-5141151800143110133-2341142100303124152-2862234416650110828365256208228468672748830114519074218419.95%4449179.50%31510302849.87%1520325846.65%606125448.33%1898128720506281027503
202382263902357240287-4741141800333128149-2141122102024112138-2659240421661310877175218007396947142855859119920203818422.05%54510880.18%21383272850.70%1606335547.87%658129250.93%1806119821526371028489
202482244801126213313-10041132200114115148-334111260101298165-6761213364577100767361222607307607192713806125819014097518.34%52511977.33%21466277552.83%1567314049.90%620125649.36%1954133619976161012492
202582214702336211289-7841132001313115148-33418270102396141-4561211377588210786662252008278598072693796101717974117017.03%4399079.50%21581301952.37%1606307952.16%629124250.64%1955133619906231034509
202682165701134205340-1354192701031104163-594173000103101177-7645205369574210697854241408048337622768797118518864236916.31%46111475.27%31440296648.55%1476313947.02%637137146.46%1917130220266191017499
202782194902246224295-714182302224113143-3041112600022111152-4158224384608140827561239408098147402708821102219314347116.36%46610677.25%11233294341.90%1211306039.58%540131641.03%1881126820596231035507
203082283701493212224-124118170005111310674110200144299118-198321236257426078675724920835838791247467297318034577315.97%4108379.76%31638306553.44%1520297851.04%641121652.71%1978134319546381055527
203182234600346233306-7341102400232116154-3841132200114117152-3563233409642430798565249008448028192786788111717924137016.95%4609479.57%61589298853.18%1557316749.16%710134352.87%1890127020506321033504
203282234404344229317-8841141604223131145-14419280012198172-7469229404633320817070237507877508082970913105619193677319.89%4478780.54%21404290448.35%1583330047.97%655133249.17%1784117621546401035496
203382244802332247354-10741122101331131174-4341122701001116180-6463247436683100107716424540825753859290682790216964088119.85%3909076.92%41435290549.40%1498309348.43%656139347.09%1799119420946351056510
203482343804042272280-841162202010127135-841181602032145145086272484756040889086271508769019112715768102619114248820.75%4237781.80%31512307149.23%1489310647.94%696137050.80%1938132419866161031511
203582313603345280284-441121902224121146-25411917011211591382184280498778320108818426880849919889267075989518023707119.19%3786682.54%21516291751.97%1465304148.17%701135951.58%1973138019836071023507
203682224508232261345-8441132203111143162-194192305121118183-657026147173213091916824390823733857264577986417133917118.16%3598975.21%51433278951.38%1279281845.39%688136750.33%1994139219515951018513
203782343903411274299-2541161902211139151-1241182001200135148-138127449877212110738752419777854773202639861110218103818622.57%4509878.22%31433279651.25%1525308949.37%702132053.18%1937132419876111022503
203882205103422247355-1084192601221122176-5441112502201125179-5456247436683219576718239179872585233282277892017203797319.26%4058479.26%31549281655.01%1472287651.18%772138455.78%1841123420596331048507
203931200000714-71010000027-52110000057-2271219002230103242653010425347119315.79%17664.71%06211952.10%5211346.02%254852.08%745066223819
Total Saison régulière164353783705050868347895814-102582127740602430463824462858-41282226043102620404523432956-613136547898273130623041207154915981312497841599160951667814978541011627421726369117442138818.65%8101168479.21%84279125505750.70%280675796248.42%131052622949.96%373512447139731131852269911135
Séries éliminatoires
2017624000001519-43210000086230300000713-641524390004652320588489178569715114428.57%23195.65%08917451.15%7514352.45%4810346.60%12369202591011053
2018624000001718-13120000089-13120000099041731480002771650486254175619311714428.57%19384.21%06113545.19%7615947.80%389042.22%108531395911356
202073400000171703120000089-14220000098161727440103772400601037721870911661119.09%18383.33%010218455.43%8718347.54%449247.83%148861486312258
203740400000921-1220200000512-72020000049-50916250053101264231391418340481072613.85%19384.21%09017950.28%9819849.49%437557.33%10267117345426
Total Séries éliminatoires23716000005875-171147000002936-71239000002939-1014589815601512211976342197288234754227329541651015.38%791087.34%034267250.89%33668349.19%17336048.06%48227724311068401195

Sharks Leaders statistiques (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
1Alexander Svitov108152439-38971511312326.47%56178416.5348121200082150.48%00.4400
2Milan Michalek135712101517204211.90%724318.73011300001016.67%00.9900
3Dustin Brown737106271610348.82%114721.11000500000043.33%01.3500
4Nikolai Antropov13279-581418306.67%725919.93123400010038.96%00.6900
5Sean Avery6426-391561526.67%512120.28213400000155.56%00.9900

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
1Jonas Hiller73400.9222.43419211721882000.0000
2Jose Theodore62310.8933.11367401917871000.0000
3Jose Theodore62400.8972.99361001817565000.0000
4Joonas Korpisalo10100.7628.5735005210000.0000
5Vitek Vanecek40210.9014.0223900161620000.0000