Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
Bruins
20-3-2, 42pts
4
FINAL
2 Sharks
6-17-1, 13pts
Team Stats
W4StreakW1
6-3-1Home Record4-9-1
14-0-1Away Record2-8-0
8-2-0Last 10 Games2-8-0
3.68Goals Per Game2.88
2.36Goals Against Per Game4.38
23.42%Power Play Percentage18.63%
81.82%Penalty Kill Percentage80.56%
Canucks
13-10-0, 26pts
2
FINAL
5 Sharks
6-17-1, 13pts
Team Stats
L1StreakW1
11-3-0Home Record4-9-1
2-7-0Away Record2-8-0
5-5-0Last 10 Games2-8-0
4.00Goals Per Game2.88
3.22Goals Against Per Game4.38
24.62%Power Play Percentage18.63%
78.89%Penalty Kill Percentage80.56%
Capitals
8-15-1, 17pts
Jour 52
Sharks
6-17-1, 13pts
Stats Équipe
L5SéquenceW1
5-4-1Fiche domicile4-9-1
3-11-0Fiche visiteur2-8-0
3-7-010 derniers matchs2-8-0
2.83Buts par match 2.88
3.67Buts contre par match 4.38
19.80%Pourcentage en avantage numérique18.63%
80.49%Pourcentage en désavantage numérique80.56%
Sharks
6-17-1, 13pts
Jour 55
Canucks
13-10-0, 26pts
Stats Équipe
W1SéquenceL1
4-9-1Fiche domicile11-3-0
2-8-0Fiche visiteur2-7-0
2-8-010 derniers matchs5-5-0
2.88Buts par match 4.00
4.38Buts contre par match 3.22
18.63%Pourcentage en avantage numérique24.62%
80.56%Pourcentage en désavantage numérique78.89%
Sharks
6-17-1, 13pts
Jour 57
Oilers
13-11-2, 28pts
Stats Équipe
W1SéquenceW1
4-9-1Fiche domicile6-6-1
2-8-0Fiche visiteur7-5-1
2-8-010 derniers matchs6-4-0
2.88Buts par match 2.96
4.38Buts contre par match 2.35
18.63%Pourcentage en avantage numérique12.60%
80.56%Pourcentage en désavantage numérique84.78%
Meneurs d'équipe
Brett HowdenButs
Brett Howden
11
Bowen ByramPasses
Bowen Byram
19
Bowen ByramPoints
Bowen Byram
24
Bowen ByramPlus/Moins
Bowen Byram
2
Joonas KorpisaloVictoires
Joonas Korpisalo
5
Vitek VanecekPourcentage d’arrêts
Vitek Vanecek
0.892

Stats Équipe
Buts pour
69
2.88 GFG
Tirs pour
696
29.00 Avg
Pourcentage en avantage numérique
18.6%
19 GF
Début de zone offensive
38.0%
Buts contre
105
4.38 GAA
Tirs contre
877
36.54 Avg
Pourcentage en désavantage numérique
80.6%
28 GA
Début de la zone défensive
44.0%

Blessure/Suspension
Ty Emberson


Ty Emberson

est dehors pour 4 jours à cause de Sore Right Knee Injury.
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
Assistance18,766
Billets de saison10,000
Information formation
Équipe Pro25
Équipe Mineure24
Limite contact 49 / 50
Espoirs30
Plafond salarial
Cap Salarial de la Saison estimé67,158,066$
Plafond salarial disponible22,841,934$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24
Finance
Revenu annuel à ce jour23,159,120$
Dépenses annuelles à ce jour19,544,399$
Revenus de la saison estimés44,664,017$
Dépenses de la saison estimées52,613,687$
Compte bancaire actuel23,092,253$
Compte bancaire projeté13,759,445$
Historique d'équipe
Saison actuelle6-17-1 (13PTS)
Historique678-852-133 (0.408%)
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 ZetterlundX97.0083528783698299654061698080747865137102654,000,000$
2Brett HowdenX100.0075567982667998668857747840767860147002733,000,000$
3Patrik LaineX100.0052548583737979714061826285767860126902717,500,000$
4Ryan Strome (A)X100.0055527383598299667771606861868435146803215,000,000$
5Kevin StenlundX100.0054558077747999599454647840808050146702912,000,000$
6Connor BrownX100.0045448882537899604057637640848140146603113,000,000$
7Jesperi KotkaniemiX100.0060577779697896628762636573727570146602514,235,000$
8Matej BlumelX100.004844828560766669406070704072747014660251825,000$
9Jakob PelletierX100.0062388684407477614060627540707275146402411,017,500$
10Noah GregorX100.0082567976627379514045566599767560166102711,232,000$
11Adam LarssonX100.0070568278718599614061619040888730147503324,500,000$
12Filip HronekX100.0074467786568985694078608140788455147402861$
13Bowen ByramX100.0061517983668799664071617740707975147202436,200,000$
14Kevin BahlX100.0075648075888593574059557940727970147202572,000,000$
15Anthony DeangeloX100.0051428488498967704075646567828645166803015,000,000$
16David JiricekX100.006353807671705157405460614066688517620221925,000$
17Maxwell CrozierX100.006964617666565155405951709972647013620251632,500$
Rayé
1Pavel ZachaX95.0058558582708799698873647651788355167102845,500,000$
2Kasperi Kapanen (A)X100.007148857760748954775057584080775096102913,000,000$
3Filip ZadinaX100.0058468580566050584051656560746765136002613,025,000$
4Mikael PyyhtiaX100.005242877849757551404557744070737519600243575,000$
5Ty EmbersonX91.7679548576627595534052537840727470106802511,250,000$
Équipe Mineure
1Florian Xhekaj (R)X100.007676398171786846703359704064719026590213925,000$
2Marian StudenicX100.0058458678526050534057496040766860265702711,364,000$
3Peter AbbandonatoX100.0059578777546050497053456040766860255602711,001,000$
4Nathan SmithX100.009943777550695943704342559076736026560271770,000$
5Karl HenrikssonX100.006857867543605040403544604070657526520241925,000$
6Reece NewkirkX100.0062747375506050364038346340706575225102411,017,500$
7Timur IbragimovX100.004844897552605040403644604072667023510251907,500$
8Stelio MattheosX100.006851697563605037403638504074676526500263575,000$
9Leon GawankeX100.0067637179625550584061565340746565256002611,232,000$
10Dysin MayoX100.008746607556625741403647554080715026580291575,000$
11Ryan JohnsonX100.004548787561706534403434704070707526580241750,000$
12Cameron CrottyX100.006856737573686331403330534074716525570261100,100$
13Alex Kannok-LeipertX100.006058587561635834403038594072687025560253575,000$
14Michael KrutilX100.007952847569555031403230544068628026550233575,000$
15Riley StillmanX100.007864577561555037403441514076666026550271575,000$
16Charlie Wright (R)X100.005843888753555033403630574066618525550223575,000$
17Axel AnderssonX100.0058568175595550324030346140726470255402511,119,250$
18Joey KeaneX100.006061777556555038403936504074656526530263575,000$
19Albin GreweX100.005960797549605032403530504070657520480243575,000$
20Maxim GolodX100.005769837552605034403435504072667020480253575,000$
21Sawyer Boulton (R)X100.007177338466605027402035574064629020480213575,000$
MOYENNE D’ÉQUIPE99.60655477796170695048495165487472651961
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 Korpisalo98.008263639182797981807979848240137803122,500,000$
2Dustin Tokarski100.00775060865050505050505094721532590361575,000$
Rayé
1Vitek Vanecek98.818260608673666767666996807350126902912,500,000$
Équipe Mineure
1Ilya Konovalov100.00765060855050505050506076636022570271770,000$
2Jaxson Stauber100.00755060855050505050506074626531570261650,000$
3Hugo Alnefelt100.007650608450505050505087706075205602411,017,500$
MOYENNE D’ÉQUIPE99.3378546186595858585858728069512263
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
1Bowen ByramSharksD24519242100233638182513.16%3653222.2145923780111103200.00%000000.9000000002
2Brett HowdenSharksC241112230280675484226813.10%1149520.6533618761011880048.47%61900000.9300000232
3Pavel ZachaSharksC2051015-156013596615387.58%1450825.43268156900041200147.60%75000000.5900000102
4Connor BrownSharksRW247714-10022360164711.67%540316.810441279000001034.62%2600010.6900000100
5Filip HronekSharksD2411213-1942050324118292.44%2758724.4913432830001111000.00%000000.4400000000
6Adam LarssonSharksD245813-20300392949153310.20%4060225.1140430830000112100.00%000000.4300000001
7Kevin BahlSharksD242101214406514227189.09%2550220.950221279000088000.00%000000.4800000010
8Matej BlumelSharksLW247512-380143749123314.29%332913.721013130000180050.00%3600000.7300000000
9Fabian ZetterlundSharksLW205611-16280743150113810.00%448524.28134116700021001033.94%16500000.4500000100
10Patrik LaineSharksLW243811-719520236818574.41%448520.2112326800003740035.85%5300000.4500010020
11Jakob PelletierSharksRW247411-5100283039102217.95%230412.6700000000090144.44%1800000.7200000011
12Ryan StromeSharksRW244711-2012019215517417.27%343818.2514521820000221057.58%3300000.5000000000
13Kevin StenlundSharksC24459-1160193431122212.90%132013.34112216000000054.55%36300000.5600000010
14Ty EmbersonSharksD22044-64753815122110.00%2024911.360000100002000.00%000000.3200100000
15Anthony DeangeloSharksD12033-500356240.00%713110.9200000000115000.00%000000.4600000000
16Maxwell CrozierSharksD16123120018621150.00%91257.8700000000014000.00%000000.4800000000
17David JiricekSharksD16022-700963130.00%61479.2000000000018000.00%000000.2700000000
18Kasperi KapanenSharksLW111010206220250.00%1666.0400000000050060.00%500000.3000000000
19Jesperi KotkaniemiSharksC24101-340615153126.67%31435.96000110001160056.67%15000000.1400000000
20Filip ZadinaSharksRW8000000030110.00%0324.06000010000000100.00%100000.0000000000
21Noah GregorSharksLW15000020614010.00%1442.940000000002000.00%500000.0000000000
22Mikael PyyhtiaSharksLW4000000020000.00%010.390000100000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne43269124193-134318105194786962015069.91%222693716.06193352206816112149256248.22%222500010.5600110588
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 KorpisaloSharks2151410.8834.34114800837120000.0000195011
2Vitek VanecekSharks71200.8923.6423120141300000.0000417000
3Dustin TokarskiSharks10100.7947.1259007340010.000012000
Statistiques d’équipe totales ou en moyenne2961710.8814.341439201048760010.00002424011


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$3,210,674$No4,500,000$
UFA
Lien / Lien NHL
Anthony DeangeloSharksD301995-10-24No180 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$3,567,416$No
UFA
Lien / Lien NHL
Bowen ByramSharksD242001-06-13No205 Lbs6 ft1NoNoYes3Pro Only6,200,000$6,200,000$4,423,596$No6,200,000$6,200,000$
RFA
Lien / Lien NHL
Brett HowdenSharksC271998-03-29No201 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$2,140,449$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Connor BrownSharksRW311994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$2,140,449$No
UFA
Lien / Lien NHL
David JiricekSharksD222003-11-28No204 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$659,972$No
RFA
Lien / Lien NHL
Dustin TokarskiSharksG361989-09-16No190 Lbs5 ft11NoNoNo1Pro & Farm575,000$575,000$410,253$No
UFA
Lien / Lien NHL
Fabian ZetterlundSharksLW261999-08-25No220 Lbs5 ft11NoNoYes5Pro & Farm4,000,000$4,000,000$2,853,933$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$2,158,287$No
RFA
Lien / Lien NHL
Jakob PelletierSharksRW242001-03-07No170 Lbs5 ft9NoNoNo1Pro & Farm1,017,500$1,017,500$725,969$No
RFA
Lien / Lien NHL
Jesperi KotkaniemiSharksC252000-07-06No203 Lbs6 ft3NoNoYes1Pro & Farm4,235,000$4,235,000$3,021,601$No
RFA
Lien / Lien NHL
Joonas KorpisaloSharksG311994-04-28No182 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$1,783,708$No2,500,000$
UFA
Lien / Lien NHL
Kasperi KapanenSharksLW291996-07-23No194 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$3,000,000$2,140,449$No
UFA
Lien / Lien NHL
Kevin BahlSharksD252000-06-27No230 Lbs6 ft6NoNoNo7Pro & Farm2,000,000$2,000,000$1,426,966$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$1,426,966$No
UFA
Lien / Lien NHL
Matej BlumelSharksLW252000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm825,000$825,000$588,624$No
RFA
Lien / Lien NHL
Maxwell CrozierSharksD252000-04-19No198 Lbs6 ft3NoNoNo1Pro & Farm632,500$632,500$451,278$No
RFA
Lien / Lien NHL
Mikael PyyhtiaSharksLW242001-12-17No176 Lbs6 ft0NoNoNo3Pro & Farm575,000$575,000$410,253$No575,000$575,000$
RFA
Lien / Lien NHL
Noah GregorSharksLW271998-07-28No201 Lbs6 ft0NoNoNo1Pro & Farm1,232,000$1,232,000$879,011$No
UFA
Lien / Lien NHL
Patrik LaineSharksLW271998-04-19No208 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$5,351,124$No
UFA
Lien / Lien NHL
Pavel Zacha (sur la masse salariale)SharksC281997-04-06No206 Lbs6 ft3NoNoYes4Pro Only5,500,000$5,500,000$3,924,157$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$3,567,416$No
UFA
Lien / Lien NHL
Ty Emberson (sur la masse salariale)SharksD252000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$891,854$No
RFA
Lien / Lien NHL
Vitek VanecekSharksG291996-01-09No180 Lbs6 ft1NoNoYes1Pro & Farm2,500,000$2,500,000$1,783,708$No
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.52197 Lbs6 ft12.042,799,680$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
69,992,001$35,275,000$28,275,000$18,500,000$13,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundRyan Strome40122
2Patrik LaineBrett HowdenConnor Brown30122
3Matej BlumelKevin StenlundJakob Pelletier20122
4Noah GregorJesperi Kotkaniemi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek40122
2Bowen ByramKevin Bahl30122
3Anthony DeangeloMaxwell Crozier20122
4David JiricekAdam Larsson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundRyan 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
1Fabian 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
160122Adam LarssonFilip Hronek60122
2Fabian Zetterlund40122Bowen ByramKevin Bahl40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fabian 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 ZetterlundRyan StromeAdam LarssonFilip Hronek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundRyan StromeAdam LarssonFilip Hronek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Stenlund, Jesperi Kotkaniemi, Matej BlumelKevin Stenlund, Jesperi KotkaniemiMatej Blumel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Deangelo, Maxwell Crozier, David JiricekAnthony DeangeloMaxwell Crozier, David Jiricek
Tirs de pénalité
, Fabian Zetterlund, Brett Howden, Patrik Laine, Ryan Strome
Gardien
#1 : Joonas Korpisalo, #2 : Dustin Tokarski


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
1Avalanche20200000410-620200000410-60000000000000.0004812001210732622250601422407114.29%11281.82%044084552.07%42997743.91%20439951.13%533639142614
2Blackhawks21000100770210001007700000000000030.75071320002230632117232742524528112.50%11190.91%044084552.07%42997743.91%20439951.13%453054152311
3BlueJackets1010000025-3000000000001010000025-300.000246002000311696047520225120.00%9188.89%044084552.07%42997743.91%20439951.13%2013287115
4Blues1010000037-41010000037-40000000000000.00035800012024751203226145120.00%3166.67%044084552.07%42997743.91%20439951.13%2416227137
5Bruins20200000510-51010000024-21010000036-300.0005914001310371017100711624376350.00%11463.64%044084552.07%42997743.91%20439951.13%432950152511
6Canadiens1010000015-41010000015-40000000000000.000123001000266713041810225120.00%5180.00%044084552.07%42997743.91%20439951.13%2114277115
7Canucks21100000660110000005231010000014-320.50061218000150581717240661826538112.50%13469.23%044084552.07%42997743.91%20439951.13%463148152412
8Ducks11000000615000000000001100000061521.000610160023103512158034412195240.00%60100.00%044084552.07%42997743.91%20439951.13%2416227136
9Flames11000000422110000004220000000000021.0004812002200368199023108296116.67%4175.00%044084552.07%42997743.91%20439951.13%2618206137
10GoldenKnights21100000660211000006600000000000020.5006915002220592514200882232498225.00%14285.71%144084552.07%42997743.91%20439951.13%432852152411
11Jets1010000037-4000000000001010000037-400.0003580021002066804441419500.00%7185.71%044084552.07%42997743.91%20439951.13%1912287125
12Kings1010000024-2000000000001010000024-200.00024600002027126903112821300.00%40100.00%044084552.07%42997743.91%20439951.13%2315236126
13Oilers11000000431000000000001100000043121.00046100021104999310271182210220.00%4250.00%044084552.07%42997743.91%20439951.13%2416227136
14Panthers1010000025-31010000025-30000000000000.00024600101018693033121617200.00%7271.43%044084552.07%42997743.91%20439951.13%2013277114
15Penguins1010000068-2000000000001010000068-200.000691510141027510120352112204125.00%5260.00%044084552.07%42997743.91%20439951.13%2316236126
16Predators1010000026-41010000026-40000000000000.0002460011002951113047111717500.00%6183.33%044084552.07%42997743.91%20439951.13%2416227137
17RedWings2020000039-61010000005-51010000034-100.000369001110562023130882045478112.50%17194.12%044084552.07%42997743.91%20439951.13%372357152411
18Wild1010000034-1000000000001010000034-100.0003690002102810135036716192150.00%7271.43%044084552.07%42997743.91%20439951.13%1913288124
Total246170010069105-361449001003659-231028000003346-13130.2716912419310212622069622122924428772223205191021918.63%1442880.56%144084552.07%42997743.91%20439951.13%542363600180300145
_Since Last GM Reset246170010069105-361449001003659-231028000003346-13130.2716912419310212622069622122924428772223205191021918.63%1442880.56%144084552.07%42997743.91%20439951.13%542363600180300145
_Vs Conference1669001005063-131045001003140-9624000001923-4130.40650901400014181805011581541872562140193354721216.67%901781.11%144084552.07%42997743.91%20439951.13%375253385121202100
_Vs Division853000002822643100000151054220000013121100.625284977008911026483801010269779419340820.00%45980.00%144084552.07%42997743.91%20439951.13%1871261905910150

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2413W16912419369687722232051910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
24617010069105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
144901003659
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
102800003346
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1021918.63%1442880.56%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
22122924422126220
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
44084552.07%42997743.91%20439951.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
542363600180300145


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
757Flames2Sharks4BWSommaire du match
866GoldenKnights4Sharks3BLSommaire du match
1081Blackhawks5Sharks4BLXSommaire du match
1399RedWings5Sharks0BLSommaire du match
16123Sharks6Ducks1AWSommaire du match
17131Sharks2Kings4ALSommaire du match
20153GoldenKnights2Sharks3BWSommaire du match
22171Predators6Sharks2BLSommaire du match
24188Panthers5Sharks2BLSommaire du match
26200Sharks3Jets7ALSommaire du match
27204Sharks3Wild4ALSommaire du match
29222Blues7Sharks3BLSommaire du match
31238Canadiens5Sharks1BLSommaire du match
35262Blackhawks2Sharks3BWSommaire du match
37280Avalanche3Sharks2BLSommaire du match
40295Sharks3Bruins6ALSommaire du match
42313Sharks3RedWings4ALSommaire du match
43318Sharks2BlueJackets5ALSommaire du match
45340Sharks6Penguins8ALSommaire du match
48362Bruins4Sharks2BLSommaire du match
50377Canucks2Sharks5BWSommaire du match
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
Noah Gregor
Noah Gregor
AGE:27
SK:76
EN:73
DU:79
PH:51
PA:45
SC:56
DF:65
Kasperi Kapanen
Kasperi Kapanen
AGE:29
SK:77
EN:74
DU:89
PH:54
PA:50
SC:57
DF:58
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
David Jiricek
David Jiricek
AGE:22
SK:76
EN:70
DU:51
PH:57
PA:54
SC:60
DF:61
Maxwell Crozier
Maxwell Crozier
AGE:25
SK:76
EN:56
DU:51
PH:55
PA:59
SC:51
DF:70
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 Strome662166280446-1152304801442156410.61%1231208318.2546881343441453721851.02%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 Vanecek247101109170.8893.591342322780472220250.72755
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
2039246170010069105-361449001003659-231028000003346-13136912419310212622069622122924428772223205191021918.63%1442880.56%144084552.07%42997743.91%20439951.13%542363600180300145
Total Saison régulière166454285205051868348515905-105483428141402431463824802910-43083026143802620404523712995-624137648518385132363141226157316171312503771796162981686914980548741647122012373597525140418.66%8228170679.27%85282905578350.71%284445882648.35%132842658049.98%378192478440264133432296011261
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