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Centre de jeu
Predators
42-21-4, 88pts
4
FINAL
2 Sharks
22-34-9, 53pts
Team Stats
W4StreakW1
21-9-3Home Record10-20-4
21-12-1Away Record12-14-5
9-1-0Last 10 Games4-6-0
4.27Goals Per Game2.86
3.33Goals Against Per Game3.77
21.13%Power Play Percentage16.56%
82.05%Penalty Kill Percentage80.23%
Flames
22-39-5, 49pts
2
FINAL
3 Sharks
22-34-9, 53pts
Team Stats
SOL1StreakW1
14-18-2Home Record10-20-4
8-21-3Away Record12-14-5
3-6-1Last 10 Games4-6-0
2.92Goals Per Game2.86
3.82Goals Against Per Game3.77
18.75%Power Play Percentage16.56%
76.18%Penalty Kill Percentage80.23%
Sharks
22-34-9, 53pts
Jour 141
Blues
37-26-5, 79pts
Stats Équipe
W1SéquenceW2
10-20-4Fiche domicile19-10-2
12-14-5Fiche visiteur18-16-3
4-6-010 derniers matchs5-4-1
2.86Buts par match 3.44
3.77Buts contre par match 3.25
16.56%Pourcentage en avantage numérique21.67%
80.23%Pourcentage en désavantage numérique80.79%
Sharks
22-34-9, 53pts
Jour 142
Stars
23-34-9, 55pts
Stats Équipe
W1SéquenceL3
10-20-4Fiche domicile15-13-5
12-14-5Fiche visiteur8-21-4
4-6-010 derniers matchs0-8-2
2.86Buts par match 2.83
3.77Buts contre par match 3.50
16.56%Pourcentage en avantage numérique15.28%
80.23%Pourcentage en désavantage numérique80.18%
Wild
35-26-5, 75pts
Jour 144
Sharks
22-34-9, 53pts
Stats Équipe
L1SéquenceW1
21-11-2Fiche domicile10-20-4
14-15-3Fiche visiteur12-14-5
7-3-010 derniers matchs4-6-0
3.26Buts par match 2.86
3.20Buts contre par match 3.77
17.01%Pourcentage en avantage numérique16.56%
78.87%Pourcentage en désavantage numérique80.23%
Meneurs d'équipe
Patrik LaineButs
Patrik Laine
25
Bowen ByramPasses
Bowen Byram
40
Bowen ByramPoints
Bowen Byram
52
Connor BrownPlus/Moins
Connor Brown
4
Joonas KorpisaloVictoires
Joonas Korpisalo
18
Vitek VanecekPourcentage d’arrêts
Vitek Vanecek
0.895

Stats Équipe
Buts pour
186
2.86 GFG
Tirs pour
2006
30.86 Avg
Pourcentage en avantage numérique
16.6%
50 GF
Début de zone offensive
39.9%
Buts contre
245
3.77 GAA
Tirs contre
2178
33.51 Avg
Pourcentage en désavantage numérique
80.2%
70 GA
Début de la zone défensive
41.6%
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
Assistance18,722
Billets de saison10,000
Information formation
Équipe Pro25
Équipe Mineure24
Limite contact 49 / 50
Espoirs30
Plafond salarial
Cap Salarial de la Saison estimé66,684,763$
Plafond salarial disponible23,315,237$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial25
Finance
Revenu annuel à ce jour56,099,300$
Dépenses annuelles à ce jour55,675,261$
Revenus de la saison estimés11,549,856$
Dépenses de la saison estimées16,009,514$
Compte bancaire actuel18,947,313$
Compte bancaire projeté14,058,775$
Historique d'équipe
Saison actuelle22-34-9 (53PTS)
Historique694-869-139 (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
1Pavel ZachaX97.0058558582708799698873647651788355167102845,500,000$
2Brett HowdenX99.0075567982667998668857747840767860197002733,000,000$
3Patrik LaineX100.0052548583737979714061826285767860206902717,500,000$
4Ryan Strome (A)X100.0055527383598299667771606861868435206803215,000,000$
5Kevin StenlundX100.0054558077747999599454647840808050206702912,000,000$
6Connor BrownX100.0045448882537899604057637640848140206603113,000,000$
7Jesperi KotkaniemiX100.0060577779697896628762636573727570206602514,235,000$
8Matej BlumelX100.004844828560766669406070704072747020660251825,000$
9Jakob PelletierX100.0062388684407477614060627540707275156402411,017,500$
10Kasperi Kapanen (A)X100.0071488577607489547750575840807750136202913,000,000$
11Adam LarssonX100.0070568278718599614061619040888730207503324,500,000$
12Filip HronekX100.0074467786568985694078608140788455207402861$
13Bowen ByramX100.0061517983668799664071617740707975207202436,200,000$
14Kevin BahlX100.0075648075888593574059557940727970207202572,000,000$
15Anthony DeangeloX100.0051428488498967704075646567828645206803015,000,000$
16Ty EmbersonX100.0079548576627595534052537840727470106802511,250,000$
17David JiricekX100.006353807671705157405460614066688520620221925,000$
18Maxwell CrozierX100.006964617666565155405951709972647020620251632,500$
Rayé
1Fabian ZetterlundX98.0083528783698299654061698080747865167102654,000,000$
2Noah GregorX100.0082567976627379514045566599767560206102711,232,000$
3Filip ZadinaX100.005846858056605058405165656074676596002613,025,000$
4Mikael PyyhtiaX100.005242877849757551404557744070737519600243575,000$
Équipe Mineure
1Florian Xhekaj (R)X100.007676398171786846703359704064719036590213925,000$
2Marian StudenicX100.0058458678526050534057496040766860365702711,364,000$
3Peter AbbandonatoX100.0059578777546050497053456040766860365602711,001,000$
4Nathan SmithX100.009943777550695943704342559076736036560271770,000$
5Timur IbragimovX100.004844897552605040403644604072667034520251907,500$
6Karl HenrikssonX100.006857867543605040403544604070657536520241925,000$
7Reece NewkirkX100.0062747375506050364038346340706575335102411,017,500$
8Stelio MattheosX100.006851697563605037403638504074676536500263575,000$
9Leon GawankeX100.0067637179625550584061565340746565366002611,232,000$
10Dysin MayoX100.008746607556625741403647554080715036580291575,000$
11Ryan JohnsonX100.004548787561706534403434704070707536580241750,000$
12Cameron CrottyX100.006856737573686331403330534074716536570261100,100$
13Alex Kannok-LeipertX100.006058587561635834403038594072687036560253575,000$
14Axel AnderssonX100.0058568175595550324030346140726470365502511,119,250$
15Michael KrutilX100.007952847569555031403230544068628036550233575,000$
16Riley StillmanX100.007864577561555037403441514076666036550271575,000$
17Charlie Wright (R)X100.005843888753555033403630574066618536550223575,000$
18Joey KeaneX100.006061777556555038403936504074656536540263575,000$
19Albin GreweX100.005960797549605032403530504070657520480243575,000$
20Maxim GolodX100.005769837552605034403435504072667020480253575,000$
21Sawyer Boulton (R)X100.007177338466605027402035574064629020480213575,000$
MOYENNE D’ÉQUIPE99.86655477796170695048495165487472652661
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 Korpisalo97.008263639182797981807979848240207803122,500,000$
2Vitek Vanecek100.008260608673666767666996807350217002912,500,000$
Rayé
1Dustin Tokarski100.00775060865050505050505094721520590361575,000$
Équipe Mineure
1Ilya Konovalov100.00765060855050505050506076636044570271770,000$
2Jaxson Stauber100.00755060855050505050506074626552570261650,000$
3Hugo Alnefelt100.007650608450505050505087706075205602411,017,500$
MOYENNE D’ÉQUIPE99.5078546186595858585858728069513063
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 ByramSharksD65124052-138068102101378311.88%91143022.018917592220112256200.00%000000.7300000142
2Filip HronekSharksD6583947-2190014010413144876.11%72155623.9461117922560111275100.00%000000.6000000221
3Brett HowdenSharksC65202747-3820191162205581729.76%19137821.2158134623420272132152.63%171200000.6813000346
4Patrik LaineSharksLW65251843-431554572054913812.20%11131620.2547115723300031772138.28%12800010.6500010431
5Adam LarssonSharksD65132841-25741010283148441078.78%129164225.278614782510001280200.00%000000.5000002112
6Connor BrownSharksRW6518193740013811644612010.98%10111317.13561142235000003137.33%7500010.6600000212
7Fabian ZetterlundSharksLW59152136-2290019381170371278.82%16139323.6237104521701152723132.26%37200000.5203000400
8Pavel ZachaSharksC49132235-121404014716031948.13%21127526.0249133118600072751251.07%186600000.5503000134
9Kevin StenlundSharksC65111930-102007011612636718.73%1291814.132681258000010056.66%106600000.6500000311
10Kevin BahlSharksD654252901180174527028535.71%73136921.07279422220001222000.00%000000.4200000010
11Matej BlumelSharksLW65151429-814027831412810010.64%692214.191233250000780040.86%9300000.6300000011
12Ryan StromeSharksRW65111728-292805272144471097.64%8119018.322911472410000632162.24%9800100.4701000001
13Jakob PelletierSharksRW59101323-9300577597205510.31%674212.58000120000151132.76%5800000.6200000012
14Anthony DeangeloSharksD5341519-9408413671711.11%2862911.8700038000124200.00%000000.6000000020
15Maxwell CrozierSharksD57178-1755891812458.33%4360510.6300000000071000.00%000000.2600100001
16Jesperi KotkaniemiSharksC65426-101352256507348.00%44186.44000360001221052.27%44000000.2900100100
17Ty EmbersonSharksD29145-65555419162156.25%2831911.020000100002000.00%000000.3100100000
18David JiricekSharksD57044-71351685190.00%112804.9300002000038000.00%000000.2800000000
19Kasperi KapanenSharksLW31112-46012461416.67%11665.36000000000260050.00%1200000.2400000000
20Filip ZadinaSharksRW14000-4006510140.00%11107.9100002000000060.00%500000.0000000000
21Noah GregorSharksLW430002401629050.00%31282.9800002000140025.00%1200000.0000000000
22Mikael PyyhtiaSharksLW4000000020000.00%010.390000100000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne1170186335521-1797993514041370200652814099.27%5931891116.165087137561241223530232122850.77%593800120.55110312222424
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 KorpisaloSharks57183080.8903.6232844019818080400.55695410041
2Vitek VanecekSharks144310.8953.6058320353340010.00001049010
3Dustin TokarskiSharks10100.7947.1259007340010.000016000
Statistiques d’équipe totales ou en moyenne72223490.8903.6739286024021760420.55696565051


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$960,674$No4,500,000$
UFA
Lien / Lien NHL
Anthony DeangeloSharksD301995-10-24No180 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$1,067,416$No
UFA
Lien / Lien NHL
Bowen ByramSharksD242001-06-13No205 Lbs6 ft1NoNoYes3Pro Only6,200,000$6,200,000$1,323,596$No6,200,000$6,200,000$
RFA
Lien / Lien NHL
Brett HowdenSharksC271998-03-29No201 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$640,449$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Connor BrownSharksRW311994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$640,449$No
UFA
Lien / Lien NHL
David JiricekSharksD222003-11-28No204 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$197,472$No
RFA
Lien / Lien NHL
Dustin TokarskiSharksG361989-09-16No190 Lbs5 ft11NoNoNo1Pro & Farm575,000$575,000$122,753$No
UFA
Lien / Lien NHL
Fabian ZetterlundSharksLW261999-08-25No220 Lbs5 ft11NoNoYes5Pro & Farm4,000,000$4,000,000$853,933$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
Filip HronekSharksD281997-11-02No190 Lbs6 ft0YesNoYes6Pro Only1$1$0$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$645,787$No
RFA
Lien / Lien NHL
Jakob PelletierSharksRW242001-03-07No170 Lbs5 ft9NoNoNo1Pro & Farm1,017,500$1,017,500$217,219$No
RFA
Lien / Lien NHL
Jesperi KotkaniemiSharksC252000-07-06No203 Lbs6 ft3NoNoYes1Pro & Farm4,235,000$4,235,000$904,101$No
RFA
Lien / Lien NHL
Joonas KorpisaloSharksG311994-04-28No182 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$533,708$No2,500,000$
UFA
Lien / Lien NHL
Kasperi KapanenSharksLW291996-07-23No194 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$3,000,000$640,449$No
UFA
Lien / Lien NHL
Kevin BahlSharksD252000-06-27No230 Lbs6 ft6NoNoNo7Pro & Farm2,000,000$2,000,000$426,966$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$426,966$No
UFA
Lien / Lien NHL
Matej BlumelSharksLW252000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm825,000$825,000$176,124$No
RFA
Lien / Lien NHL
Maxwell CrozierSharksD252000-04-19No198 Lbs6 ft3NoNoNo1Pro & Farm632,500$632,500$135,028$No
RFA
Lien / Lien NHL
Mikael PyyhtiaSharksLW242001-12-17No176 Lbs6 ft0NoNoNo3Pro & Farm575,000$575,000$122,753$No575,000$575,000$
RFA
Lien / Lien NHL
Noah GregorSharksLW271998-07-28No201 Lbs6 ft0NoNoNo1Pro & Farm1,232,000$1,232,000$263,011$No
UFA
Lien / Lien NHL
Patrik LaineSharksLW271998-04-19No208 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$1,601,124$No
UFA
Lien / Lien NHL
Pavel ZachaSharksC281997-04-06No206 Lbs6 ft3NoNoYes4Pro Only5,500,000$5,500,000$1,174,157$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$1,067,416$No
UFA
Lien / Lien NHL
Ty EmbersonSharksD252000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$266,854$No
RFA
Lien / Lien NHL
Vitek VanecekSharksG291996-01-09No180 Lbs6 ft1NoNoYes1Pro & Farm2,500,000$2,500,000$533,708$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
1Patrik LainePavel ZachaRyan Strome40122
2Matej BlumelBrett HowdenConnor Brown30122
3Kasperi KapanenKevin StenlundJakob Pelletier20122
4Pavel ZachaJesperi KotkaniemiBrett Howden10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek40122
2Kevin BahlBowen Byram30122
3Ty EmbersonAnthony Deangelo20122
4Maxwell CrozierDavid Jiricek10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Patrik LainePavel ZachaRyan Strome60122
2Matej BlumelBrett HowdenConnor Brown40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek60122
2Kevin BahlBowen Byram40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel ZachaBrett Howden60122
2Patrik LaineRyan Strome40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek60122
2Kevin BahlBowen Byram40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pavel Zacha60122Adam LarssonFilip Hronek60122
2Brett Howden40122Kevin BahlBowen Byram40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel ZachaBrett Howden60122
2Patrik LaineRyan Strome40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonFilip Hronek60122
2Kevin BahlBowen Byram40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Patrik LainePavel ZachaRyan StromeAdam LarssonFilip Hronek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Patrik LainePavel ZachaRyan StromeAdam LarssonFilip Hronek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Stenlund, Jesperi Kotkaniemi, Jakob PelletierKevin Stenlund, Jesperi KotkaniemiJakob Pelletier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Emberson, Anthony Deangelo, Maxwell CrozierTy EmbersonAnthony Deangelo, Maxwell Crozier
Tirs de pénalité
Pavel Zacha, Brett Howden, Patrik Laine, Ryan Strome, Kevin Stenlund
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
1Avalanche31200000914-520200000410-61100000054120.333917260043209735273509323326610330.00%16381.25%01260235453.53%1187245848.29%568109052.11%755063224021
2Blackhawks310001011011-1210001007701000000134-140.66710172700343010633313789933357613215.38%14192.86%01260235453.53%1187245848.29%568109052.11%714879233718
3BlueJackets1010000025-3000000000001010000025-300.000246002000311696047520225120.00%9188.89%01260235453.53%1187245848.29%568109052.11%2013287115
4Blues20200000511-620200000511-60000000000000.00059140021205220112107014103512325.00%5340.00%01260235453.53%1187245848.29%568109052.11%473245152713
5Bruins20200000510-51010000024-21010000036-300.0005914001310371017100711624376350.00%11463.64%01260235453.53%1187245848.29%568109052.11%432950152511
6Canadiens2110000046-21010000015-41100000031220.50048120020205918182306418203610110.00%10190.00%01260235453.53%1187245848.29%568109052.11%453150162311
7Canucks41300000918-921100000611-52020000037-420.25091726002160110373439015142507914214.29%23673.91%01260235453.53%1187245848.29%568109052.11%8656102315023
8Capitals220000001028110000007161100000031241.000101828003340832621360551522558337.50%9277.78%01260235453.53%1187245848.29%568109052.11%523639152714
9Devils1010000014-31010000014-30000000000000.000123000100215124042920134125.00%10190.00%01260235453.53%1187245848.29%568109052.11%2011269136
10Ducks210001009541000010034-11100000061530.75091524002430752226270589204713323.08%10280.00%01260235453.53%1187245848.29%568109052.11%513543152613
11Flames440000001486220000007432200000074381.0001428420084201233948360117404010118527.78%19289.47%01260235453.53%1187245848.29%568109052.11%996988285226
12GoldenKnights4110200013112211000006602000200075260.750132134002272128522252215137549916212.50%23482.61%11260235453.53%1187245848.29%568109052.11%926299305125
13Hurricanes1010000006-61010000006-60000000000000.00000000000023571104061217300.00%5260.00%01260235453.53%1187245848.29%568109052.11%2014258136
14Jets30200100814-61010000023-120100100611-510.167813210032308319313031182443461119.09%18477.78%01260235453.53%1187245848.29%568109052.11%614084223716
15Kings32100000862220000006241010000024-240.667814220031409227234209826265211218.18%110100.00%11260235453.53%1187245848.29%568109052.11%684672223918
16Lightning21000100111011000010067-11100000053230.750112031003440761731262673120429111.11%9277.78%01260235453.53%1187245848.29%568109052.11%483347152613
17Mammoth4220000078-1211000003302110000045-140.50071421004120126434637087254410720210.00%19478.95%01260235453.53%1187245848.29%568109052.11%1037083285228
18MapleLeafs20200000511-61010000046-21010000015-400.0005101500203059212117064122644700.00%11554.55%01260235453.53%1187245848.29%568109052.11%463047142512
19Oilers512010012123-220101000990311000011214-250.50021375810124411855650758164626712240922.50%30583.33%01260235453.53%1187245848.29%568109052.11%11678125396331
20Panthers2020000059-41010000025-31010000034-100.000591400113058182317065232646600.00%12283.33%01260235453.53%1187245848.29%568109052.11%432954142210
21Penguins20200000812-41010000024-21010000068-200.000812201024206918321906926224314214.29%10550.00%01260235453.53%1187245848.29%568109052.11%483446142412
22Predators20200000410-620200000410-60000000000000.0004812003100531219220821827461218.33%10280.00%01260235453.53%1187245848.29%568109052.11%473146162613
23RedWings2020000039-61010000005-51010000034-100.000369001110562023130882045478112.50%17194.12%01260235453.53%1187245848.29%568109052.11%372357152411
24Sabres1010000016-5000000000001010000016-500.0001120010002881010043111911500.00%6350.00%01260235453.53%1187245848.29%568109052.11%2214257125
25Senators211000007521010000013-21100000062420.500713200031304919111907117293610110.00%12191.67%01260235453.53%1187245848.29%568109052.11%432752152411
26Stars2000020024-21000010012-11000010012-120.50023500101056251318050172441900.00%12283.33%01260235453.53%1187245848.29%568109052.11%493349152512
27Wild2010000157-2000000000002010000157-210.25051015001311711833176541428388112.50%13284.62%01260235453.53%1187245848.29%568109052.11%463052162612
Total65193403603186245-59349200140089132-433110140220397113-16530.408186335521207149634200663964969929217859380514043025016.56%3547080.23%21260235453.53%1187245848.29%568109052.11%151210161588497832408
_Since Last GM Reset65193403603186245-59349200140089132-433110140220397113-16530.408186335521207149634200663964969929217859380514043025016.56%3547080.23%21260235453.53%1187245848.29%568109052.11%151210161588497832408
_Vs Conference43141803503124150-2623811013006382-192067022036168-7420.48812422334710503140413574384144882713923845009552073617.39%2234082.06%21260235453.53%1187245848.29%568109052.11%10186861035328556275
_Vs Division2612903101817921374011004039113550200141401320.61581146227103317283839276249308108262413016071322518.94%1352382.96%21260235453.53%1187245848.29%568109052.11%619419615195335166

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6553W118633552120062178593805140420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6519343603186245
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34920140089132
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
311014220397113
Derniers 10 matchs
WLOTWOTL SOWSOL
262000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3025016.56%3547080.23%2
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
639649699297149634
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
1260235453.53%1187245848.29%568109052.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
151210161588497832408


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
52392Capitals1Sharks7BWSommaire du match
55411Sharks2Canucks3ALSommaire du match
57424Sharks4Oilers6ALSommaire du match
59438Sharks3Flames2AWSommaire du match
61462Sharks3Jets4ALXSommaire du match
64481Mammoth2Sharks3BWSommaire du match
71512Sharks3Capitals1AWSommaire du match
72514Sharks3Panthers4ALSommaire du match
74531Sharks5Lightning3AWSommaire du match
77547Sharks4Mammoth2AWSommaire du match
78560Penguins4Sharks2BLSommaire du match
81583Senators3Sharks1BLSommaire du match
83601Sharks3GoldenKnights2AWXSommaire du match
85610Oilers5Sharks4BLSommaire du match
86619Kings1Sharks4BWSommaire du match
88634Lightning7Sharks6BLXSommaire du match
91653Sharks5Avalanche4AWSommaire du match
93665Sharks4Flames2AWSommaire du match
95680Sharks4Oilers5ALXXSommaire du match
97700Ducks4Sharks3BLXSommaire du match
98711Mammoth1Sharks0BLSommaire du match
99724Kings1Sharks2BWSommaire du match
101739Jets3Sharks2BLSommaire du match
103751Sharks2Wild3ALXXSommaire du match
105763Sharks3Blackhawks4ALXXSommaire du match
108791Stars2Sharks1BLXSommaire du match
111810Devils4Sharks1BLSommaire du match
113819Sharks0Mammoth3ALSommaire du match
114830Sharks1Stars2ALXSommaire du match
116845Hurricanes6Sharks0BLSommaire du match
119863Sharks3Canadiens1AWSommaire du match
120875Sharks6Senators2AWSommaire du match
123895Sharks1MapleLeafs5ALSommaire du match
124896Sharks1Sabres6ALSommaire du match
127925Sharks4GoldenKnights3AWXSommaire du match
128936Canucks9Sharks1BLSommaire du match
130955Oilers4Sharks5BWXSommaire du match
133979Blues4Sharks2BLSommaire du match
135995MapleLeafs6Sharks4BLSommaire du match
1371008Predators4Sharks2BLSommaire du match
1391016Flames2Sharks3BWSommaire du match
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
Timur Ibragimov
Timur Ibragimov
AGE:25
SK:75
EN:60
DU:50
PH:40
PA:36
SC:44
DF:60
Reece Newkirk
Reece Newkirk
AGE:24
SK:75
EN:60
DU:50
PH:36
PA:38
SC:34
DF:63
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
Axel Andersson
Axel Andersson
AGE:25
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
Riley Stillman
Riley Stillman
AGE:27
SK:75
EN:55
DU:50
PH:37
PA:34
SC:41
DF:51
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 Strome703173290463-1242465131493165310.47%1281283518.2647931403701453722951.09%50.72828
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 Vanecek254104110180.8893.591377622782574260260.72755
3Keith Kinkaid128506480.8893.8370438244940580440.68635
4Jose Theodore92483650.9132.63536719323527041104900.86050
5Joonas Korpisalo1484274130.8813.9878128151843420720.61526

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
203965193403603186245-59349200140089132-433110140220397113-1653186335521207149634200663964969929217859380514043025016.56%3547080.23%21260235453.53%1187245848.29%568109052.11%151210161588497832408
Total Saison régulière170555586905356868649686045-107785428642502534463825332983-45085126944402822404824353062-627141649688596135643241276159616581316516872214167181732415007561751684222497382447725143518.58%8438174879.28%86291105729250.81%292026030748.42%136482727150.05%387882543741252136602349211524
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