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Centre de jeu
Flyers
10-5-0, 20pts
5
FINAL
4 Sharks
2-11-2, 6pts
Team Stats
W1StreakL1
6-0-0Home Record0-5-2
4-5-0Away Record2-6-0
7-3-0Last 10 Games0-9-1
4.07Goals Per Game2.53
3.33Goals Against Per Game4.73
20.69%Power Play Percentage14.49%
76.54%Penalty Kill Percentage74.19%
Wild
8-4-2, 18pts
5
FINAL
2 Sharks
2-11-2, 6pts
Team Stats
W1StreakL1
5-1-1Home Record0-5-2
3-3-1Away Record2-6-0
5-3-2Last 10 Games0-9-1
4.36Goals Per Game2.53
3.43Goals Against Per Game4.73
20.00%Power Play Percentage14.49%
82.35%Penalty Kill Percentage74.19%
Sharks
2-11-2, 6pts
Jour 36
Stars
10-4-1, 21pts
Stats Équipe
L1SéquenceW3
0-5-2Fiche domicile5-2-0
2-6-0Fiche visiteur5-2-1
0-9-110 derniers matchs6-4-0
2.53Buts par match 3.93
4.73Buts contre par match 2.73
14.49%Pourcentage en avantage numérique27.27%
74.19%Pourcentage en désavantage numérique77.92%
Sharks
2-11-2, 6pts
Jour 37
Blues
11-2-0, 22pts
Stats Équipe
L1SéquenceL1
0-5-2Fiche domicile7-2-0
2-6-0Fiche visiteur4-0-0
0-9-110 derniers matchs9-1-0
2.53Buts par match 4.69
4.73Buts contre par match 2.46
14.49%Pourcentage en avantage numérique23.94%
74.19%Pourcentage en désavantage numérique88.00%
Flames
3-11-1, 7pts
Jour 39
Sharks
2-11-2, 6pts
Stats Équipe
W1SéquenceL1
3-4-0Fiche domicile0-5-2
0-7-1Fiche visiteur2-6-0
3-6-110 derniers matchs0-9-1
2.33Buts par match 2.53
4.67Buts contre par match 4.73
18.18%Pourcentage en avantage numérique14.49%
75.00%Pourcentage en désavantage numérique74.19%
Meneurs d'équipe
Fabian ZetterlundButs
Fabian Zetterlund
9
Filip HronekPasses
Filip Hronek
11
Fabian ZetterlundPoints
Fabian Zetterlund
15
Kyle OkposoPlus/Moins
Kyle Okposo
2
Joonas KorpisaloVictoires
Joonas Korpisalo
2
Vitek VanecekPourcentage d’arrêts
Vitek Vanecek
0.872

Stats Équipe
Buts pour
38
2.53 GFG
Tirs pour
403
26.87 Avg
Pourcentage en avantage numérique
14.5%
10 GF
Début de zone offensive
39.3%
Buts contre
71
4.73 GAA
Tirs contre
496
33.07 Avg
Pourcentage en désavantage numérique
74.2%
16 GA
Début de la zone défensive
41.3%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralJean-Sébastien Gagnon
EntraîneurDrew Bannister
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1Ryan Strome
Assistant #2Kasperi Kapanen
Uniformes
Informations de l’aréna
NomWest Coast Arena
Capacité25,000
Assistance19,012
Billets de saison10,000
Information formation
Équipe Pro28
Équipe Mineure19
Limite contact 47 / 50
Espoirs23
Plafond salarial
Cap Salarial de la Saison estimé78,447,106$
Plafond salarial disponible6,552,894$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial28
Finance
Revenu annuel à ce jour11,719,160$
Dépenses annuelles à ce jour16,311,797$
Revenus de la saison estimés56,921,634$
Dépenses de la saison estimées67,135,211$
Compte bancaire actuel31,887,884$
Compte bancaire projeté20,226,096$
Historique d'équipe
Saison actuelle2-11-2 (6PTS)
Historique649-795-129 (0.413%)
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 ZachaX98.0072548585738596769080727453788255137402715,499,999$
2Fabian ZetterlundX99.0074558284698699676860747865748065137102511,500,000$
3Ryan Strome (A)X100.0059576883598197668171616161868435146803125,000,000$
4Kyle OkposoX99.0066528079697789588352657472968710276703612,500,000$
5Patrik LaineX100.0047578379798055667354776384767860136602621$
6Robby FabbriX100.0067468183567689649357726250807850136602814,000,000$
7Brett HowdenX100.0068507977657792568053597640767760136502611,815,000$
8Kasperi Kapanen (A)X100.0061488679607993574058577840808050136502823,000,000$
9Jesperi KotkaniemiX100.0057518179667697598756626673727470136502413,850,000$
10Kevin StenlundX100.0064577575797698538644617840807850136502822,000,000$
11Filip ZadinaX100.0058468580567792584051656560747665136302512,750,000$
12Matej BlumelX100.004844808160817160405565644072777013630241750,000$
13Filip HronekX100.0070468187568998714084588040788455137502777,000,000$
14Adam LarssonX100.0087567675728898554054568840888830137403234,500,000$
15Ty EmbersonX100.009949867962816459406554794072777020710241825,000$
16Bowen ByramX100.0070497583588493644060697140707775137002346,200,000$
17Kevin BahlX100.0083677075887999514050527640727670167002411,017,500$
18Anthony DeangeloX100.0043427584497464624061625870827845136202925,000,000$
Rayé
1Nicklas BackstromX100.005450838364605067856965597598795146503717,000,000$
2Noah GregorX100.0095498578577486534048586799767560206302611,120,000$
3Connor BrownX100.0051448778537692524049557140848040206203014,000,000$
4Alex Barre-BouletX100.0057418481467468554047646240787655206002711,470,000$
5Dysin MayoX100.008746667558716642404439594080765020610282575,000$
6Juuso RiikolaX100.008846817756555052404532504086713520580312575,000$
7Riley StillmanX100.007864697561555031402735564076666020550262575,000$
Équipe Mineure
1Marian StudenicX100.0058458678527363534057497040767560246002611,240,000$
2Jakob PelletierX100.005838878140705254405356664070707524580231925,000$
3Nathan SmithX100.009943777560695946704646569076736024570261700,000$
4Peter AbbandonatoX100.005957877754605049705345604076686024560261910,000$
5Karl HenrikssonX100.006857867543736340403544604070727524530232925,000$
6Timur IbragimovX100.004844897552605040403644604072667024510241825,000$
7Reece NewkirkX100.006274837549605033403035604070657524490231925,000$
8Tim SoderlundX100.0045538875406050344038305099766860244802611,000,000$
9David JiricekX100.005354807573747255405753694066708523640212925,000$
10Maxwell Crozier (R)X100.006964797662715251405350714072727024630241575,000$
11Ryan Johnson (R)X100.004548847661737152405450714070727524620232750,000$
12Leon GawankeX100.0067637179625550584061565340746565246002511,120,000$
13Cameron CrottyX100.006856807573595436403537664074676524590251910,000$
14Austin StrandX100.0065557075645550404034455740786755245602711,012,000$
15Axel AnderssonX100.0058568175595550324030346140726470245402411,017,500$
16Thomas GregoireX100.004943807844555049404443504076666024540261940,000$
MOYENNE D’ÉQUIPE99.90655280786072725352515466517774581962
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 Korpisalo98.008297998964626164616089847340127003012,500,000$
2Vitek Vanecek100.008269708668696162616397807550136802822,500,000$
Rayé
1Dustin Tokarski100.00775060865050505050506094721520590352575,000$
Équipe Mineure
1Jaxson Stauber (R)100.00755860855452515055504074636528590252650,000$
2Ilya Konovalov100.00765060855050505050506076636028570261700,000$
3Hugo Alnefelt100.00765760845050505050508770607520570231925,000$
MOYENNE D’ÉQUIPE99.6778646886565654545554728068512062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Drew Bannister73877695795072CAN5055,000,000$


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
1Fabian ZetterlundSharksLW159615-7100253149173418.37%431921.3152718630000241054.55%4400000.9400000002
2Pavel ZachaSharksC124812-104018263482511.76%029624.690556560001391051.59%31400000.8100000100
3Filip HronekSharksD1501111-1480223623790.00%2141928.000331559000148000.00%000000.5200000000
4Robby FabbriSharksC15448-1120173024112716.67%022014.7200016000040058.04%22400000.7200000010
5Bowen ByramSharksD15167-12601910308163.33%2333522.390221650000139000.00%000000.4200000001
6Adam LarssonSharksD15077-52803925189140.00%3337625.12022961000036000.00%000000.3700000000
7Kyle OkposoSharksC164262205162041620.00%121913.74011190002441061.54%3900000.5500000000
8Anthony DeangeloSharksD15145-104029102510.00%1223015.37000011000021000.00%000000.4300000000
9Patrik LaineSharksLW15235-10006173212326.25%428619.12000353000010064.29%1400000.3500000000
10Ryan StromeSharksRW15415-711525323142012.90%430820.571015550000230048.48%33000000.3200001100
11Kasperi KapanenSharksRW15134-108016293010283.33%228519.01000952000000041.38%2900000.2800000000
12Kevin BahlSharksD15033-133610441215480.00%2235023.340111048000032000.00%000000.1700101000
13Filip ZadinaSharksRW15202-5204171681012.50%118512.3700000000000125.00%400000.2200000000
14Matej BlumelSharksLW15112-700520258134.00%119513.0300000000000045.45%1100000.2000000000
15Ty EmbersonSharksD401111201184120.00%36716.9300012000011000.00%000000.3000000000
16Brett HowdenSharksC15000-1407744100.00%4865.77000030000280037.78%9000000.0000000000
17Jesperi KotkaniemiSharksC15000100022010.00%0201.3600001000080076.47%1700000.0000000000
18Kevin StenlundSharksRW15000-200223220.00%1362.42000130000170070.00%1000000.0000000000
19Nicklas BackstromSharksC14000-200232100.00%0302.2100000000000050.00%3400000.0000000000
Statistiques d’équipe totales ou en moyenne271336093-122137152693323721202728.87%136427315.77616229553900053813151.55%116000000.4400102213
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 KorpisaloSharks132810.8534.9469320573870100.0000123000
2Vitek VanecekSharks50310.8723.9821100141090000.0000312000
Statistiques d’équipe totales ou en moyenne1821120.8574.7190520714960100.00001515000


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Adam LarssonSharksD321992-11-12No209 Lbs6 ft3NoNoYes3Pro & Farm4,500,000$4,500,000$3,635,593$No4,500,000$4,500,000$
UFA
Lien / Lien NHL
Alex Barre-BouletSharksC271997-05-21No178 Lbs5 ft10NoNoNo1Pro & Farm1,470,000$1,470,000$1,187,627$No
UFA
Lien / Lien NHL
Anthony DeangeloSharksD291995-10-24No180 Lbs5 ft11NoNoYes2Pro Only5,000,000$5,000,000$4,039,548$No5,000,000$
UFA
Lien / Lien NHL
Bowen ByramSharksD232001-06-13No190 Lbs6 ft1NoNoNo4Pro Only6,200,000$6,200,000$5,009,040$No6,200,000$6,200,000$6,200,000$
RFA
Lien / Lien NHL
Brett HowdenSharksC261998-03-29No200 Lbs6 ft2NoNoNo1Pro & Farm1,815,000$1,815,000$1,466,356$No
RFA
Lien / Lien NHL
Connor BrownSharksRW301994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm4,000,000$4,000,000$3,231,638$No
UFA
Lien / Lien NHL
Dustin TokarskiSharksG351989-09-16No190 Lbs5 ft11NoNoNo2Pro & Farm575,000$575,000$464,548$No575,000$
UFA
Lien / Lien NHL
Dysin MayoSharksD281996-08-17No189 Lbs6 ft1NoNoNo2Pro & Farm575,000$575,000$464,548$No575,000$
UFA
Lien / Lien NHL
Fabian ZetterlundSharksLW251999-08-25No220 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,500,000$1,211,864$No
RFA
Lien / Lien NHL
Filip HronekSharksD271997-11-02No190 Lbs6 ft0NoNoYes7Pro Only7,000,000$7,000,000$5,655,367$No7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Filip ZadinaSharksRW251999-11-27No190 Lbs6 ft0NoNoYes1Pro & Farm2,750,000$2,750,000$2,221,751$No
RFA
Lien / Lien NHL
Jesperi KotkaniemiSharksC242000-07-06No201 Lbs6 ft2NoNoYes1Pro & Farm3,850,000$3,850,000$3,110,452$No
RFA
Lien / Lien NHL
Joonas KorpisaloSharksG301994-04-28No182 Lbs6 ft3NoNoYes1Pro & Farm2,500,000$2,500,000$2,019,774$No
UFA
Lien / Lien NHL
Juuso RiikolaSharksD311993-11-09No189 Lbs6 ft0NoNoNo2Pro & Farm575,000$575,000$464,548$No575,000$
UFA
Lien / Lien NHL
Kasperi KapanenSharksRW281996-07-23No194 Lbs6 ft1NoNoYes2Pro & Farm3,000,000$3,000,000$2,423,729$No3,000,000$
UFA
Lien / Lien NHL
Kevin BahlSharksD242000-06-27No230 Lbs6 ft6NoNoNo1Pro & Farm1,017,500$1,017,500$822,048$No
RFA
Lien / Lien NHL
Kevin StenlundSharksRW281996-09-20No215 Lbs6 ft5NoNoNo2Pro & Farm2,000,000$2,000,000$1,615,819$No2,000,000$
UFA
Lien / Lien NHL
Kyle OkposoSharksC361988-04-16No216 Lbs6 ft0NoNoYes1Pro & Farm2,500,000$2,500,000$2,019,774$No
UFA
Lien / Lien NHL
Matej BlumelSharksLW242000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$605,932$No
RFA
Lien / Lien NHL
Nicklas BackstromSharksC371987-11-23No202 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$5,655,367$No
UFA
Lien / Lien NHL
Noah GregorSharksC261998-07-28No192 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$1,120,000$904,859$No
RFA
Lien / Lien NHL
Patrik LaineSharksLW261998-04-19No215 Lbs6 ft5YesNoYes2Pro Only1$1$1$No7,500,000$
UFA
Lien / Lien NHL
Pavel ZachaSharksC271997-04-06No207 Lbs6 ft4NoNoYes1Pro Only5,499,999$5,499,999$4,443,502$No
UFA
Lien / Lien NHL
Riley StillmanSharksD261998-03-09No196 Lbs6 ft1NoNoNo2Pro & Farm575,000$575,000$464,548$No575,000$
UFA
Lien / Lien NHL
Robby FabbriSharksC281996-01-22No185 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$4,000,000$3,231,638$No
UFA
Lien / Lien NHL
Ryan StromeSharksRW311993-07-11No191 Lbs6 ft1NoNoYes2Pro Only5,000,000$5,000,000$4,039,548$No5,000,000$
UFA
Lien / Lien NHL
Ty EmbersonSharksD242000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm825,000$825,000$666,525$No
RFA
Lien / Lien NHL
Vitek VanecekSharksG281996-01-09No180 Lbs6 ft1NoNoYes2Pro & Farm2,500,000$2,500,000$2,019,774$No2,500,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2828.04197 Lbs6 ft11.752,789,196$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
78,097,500$45,000,000$17,700,000$13,200,000$7,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundPavel Zacha40122
2Patrik LaineRobby FabbriRyan Strome35122
3Matej BlumelBrett HowdenFilip Zadina20122
4Fabian ZetterlundJesperi KotkaniemiKasperi Kapanen5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson40122
2Bowen ByramKevin Bahl30122
3Ty EmbersonAnthony Deangelo20122
4Filip HronekAdam Larsson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundPavel Zacha60122
2Patrik LaineRobby FabbriRyan Strome40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson60122
2Bowen ByramKevin Bahl40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett HowdenKevin Stenlund60122
2Jesperi KotkaniemiRyan Strome40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson60122
2Bowen ByramKevin Bahl40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Howden60122Filip HronekAdam Larsson60122
2Kevin Stenlund40122Bowen ByramKevin Bahl40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan StromeFabian Zetterlund60122
2Robby FabbriPatrik Laine40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAdam Larsson60122
2Bowen ByramKevin Bahl40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundRyan StromeFilip HronekAdam Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundRyan StromeFilip HronekAdam Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Robby Fabbri, Kasperi Kapanen, Brett HowdenRobby Fabbri, Kasperi KapanenRobby Fabbri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Bahl, Ty Emberson, Anthony DeangeloKevin BahlKevin Bahl, Ty Emberson
Tirs de pénalité
, Fabian Zetterlund, Ryan Strome, Patrik Laine, Robby Fabbri
Gardien
#1 : Vitek Vanecek, #2 : Joonas Korpisalo


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
1BlueJacket1010000035-21010000035-20000000000000.000369001020258134025106173133.33%3166.67%024648850.41%26251351.07%13824057.50%1812278136
2Devils1010000004-4000000000001010000004-400.00000000000035184130273611700.00%3166.67%024648850.41%26251351.07%13824057.50%2517227126
3Ducks20100100810-21000010034-11010000056-110.25081422004130562016182551614379111.11%6183.33%024648850.41%26251351.07%13824057.50%503544142613
4Flyers20100100510-51000010045-11010000015-410.250581300410056211520083203641600.00%12466.67%024648850.41%26251351.07%13824057.50%453153152411
5Hurricanes1010000015-4000000000001010000015-400.00012300100014347031106174125.00%3166.67%024648850.41%26251351.07%13824057.50%1711288135
6Islanders20200000412-81010000007-71010000045-100.00046100003104615151606622183911218.18%9277.78%024648850.41%26251351.07%13824057.50%442950152412
7Kings10001000431000000000001000100043121.000471100201130134121233916600.00%20100.00%024648850.41%26251351.07%13824057.50%2719207137
8Predators1010000036-3000000000001010000036-300.0003580021002697100381812232150.00%5180.00%024648850.41%26251351.07%13824057.50%1812288125
9Rangers211000007701010000023-11100000054120.50071421002320662520210661816319333.33%8275.00%024648850.41%26251351.07%13824057.50%473246152613
10Sabres1010000014-31010000014-30000000000000.0001120001002797110405823800.00%4175.00%024648850.41%26251351.07%13824057.50%2214238147
11Wild1010000025-31010000025-30000000000000.000246001100226790421214244125.00%7271.43%024648850.41%26251351.07%13824057.50%2013287115
Total15111012003871-33705002001533-18816010002338-1560.2003867105001711914031471121413496137145279691014.49%621674.19%024648850.41%26251351.07%13824057.50%33822937511619293
_Since Last GM Reset15111012003871-33705002001533-18816010002338-1560.2003867105001711914031471121413496137145279691014.49%621674.19%024648850.41%26251351.07%13824057.50%33822937511619293
_Vs Conference503011001724-72010010059-4302010001215-330.3001730470093411344834493158494910021314.29%20480.00%024648850.41%26251351.07%13824057.50%11681122386330
_Vs Division301011001213-11000010034-12010100099030.500122133006141863320303781923531516.67%8187.50%024648850.41%26251351.07%13824057.50%775465223920

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
156L1386710540349613714527900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1511112003871
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
70502001533
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
81610002338
Derniers 10 matchs
WLOTWOTL SOWSOL
090100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
691014.49%621674.19%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1471121413171191
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
24648850.41%26251351.07%13824057.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
33822937511619293


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
11Ducks4Sharks3BLXSommaire du match
316Sharks4Kings3AWXSommaire du match
635Sharks4Islanders5ALSommaire du match
740Sharks1Flyers5ALSommaire du match
953Sharks5Rangers4AWSommaire du match
1171Sharks0Devils4ALSommaire du match
1595Sabres4Sharks1BLSommaire du match
17110Islanders7Sharks0BLSommaire du match
20127Sharks3Predators6ALSommaire du match
23144Sharks1Hurricanes5ALSommaire du match
25159Sharks5Ducks6ALSommaire du match
27176Rangers3Sharks2BLSommaire du match
29188BlueJacket5Sharks3BLSommaire du match
31203Flyers5Sharks4BLXSommaire du match
34220Wild5Sharks2BLSommaire du match
36229Sharks-Stars-
37238Sharks-Blues-
39256Flames-Sharks-
41272Predators-Sharks-
43285MapleLeafs-Sharks-
45301Blues-Sharks-
48317Oilers-Sharks-
50342Canucks-Sharks-
51357Sharks-GoldenKnights-
54367Sharks-Sabres-
55381Sharks-MapleLeafs-
58404Sharks-Senators-
59410Sharks-Canadiens-
62427Hurricanes-Sharks-
64441Sharks-Stars-
65444Sharks-Coyotes-
67463Devils-Sharks-
70484Stars-Sharks-
73507Sharks-Blackhawks-
75523Sharks-Wild-
77538Jets-Sharks-
79555Kings-Sharks-
80564Coyotes-Sharks-
81574Ducks-Sharks-
83588Sharks-Oilers-
85603Sharks-Flames-
87616Sharks-Avalanche-
90642Lightning-Sharks-
92655Kings-Sharks-
93662Oilers-Sharks-
95682Sharks-GoldenKnights-
97696Senators-Sharks-
100719Penguins-Sharks-
101721Sharks-Coyotes-
104749Sharks-Lightning-
106757Sharks-Panthers-
107764Sharks-Capitals-
114799Coyotes-Sharks-
117819Sharks-Jets-
119825Sharks-Flames-
121841Sharks-Oilers-
123861Sharks-Canucks-
126884Capitals-Sharks-
128900Canucks-Sharks-
130915Bruins-Sharks-
133936Sharks-Penguins-
135946Sharks-BlueJacket-
136958Sharks-RedWings-
138969Sharks-Bruins-
141997Avalanche-Sharks-
1431015Blackhawks-Sharks-
1471042Canadiens-Sharks-
1491057Blues-Sharks-
1511068Sharks-Wild-
1521079Sharks-Jets-
1541091Panthers-Sharks-
1561108Predators-Sharks-
1581120GoldenKnights-Sharks-
1611142Sharks-Kings-
1621148Sharks-Ducks-
1651173RedWings-Sharks-
1681194Blackhawks-Sharks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701211GoldenKnights-Sharks-
1711220Flames-Sharks-
1731238Sharks-Canucks-
1751245Sharks-Oilers-
1771269Avalanche-Sharks-


Charte de profondeur
Ailier gaucheCentreAilier droit
Fabian Zetterlund
Fabian Zetterlund
AGE:25
SK:84
EN:86
DU:99
PH:67
PA:60
SC:74
DF:78
Patrik Laine
Patrik Laine
AGE:26
SK:79
EN:80
DU:55
PH:66
PA:54
SC:77
DF:63
Matej Blumel
Matej Blumel
AGE:24
SK:81
EN:81
DU:71
PH:60
PA:55
SC:65
DF:64
Marian Studenic
Marian Studenic
AGE:26
SK:78
EN:73
DU:63
PH:53
PA:57
SC:49
DF:70
Jakob Pelletier
Jakob Pelletier
AGE:23
SK:81
EN:70
DU:52
PH:54
PA:53
SC:56
DF:66
Karl Henriksson
Karl Henriksson
AGE:23
SK:75
EN:73
DU:63
PH:40
PA:35
SC:44
DF:60
Timur Ibragimov
Timur Ibragimov
AGE:24
SK:75
EN:60
DU:50
PH:40
PA:36
SC:44
DF:60
Reece Newkirk
Reece Newkirk
AGE:23
SK:75
EN:60
DU:50
PH:33
PA:30
SC:35
DF:60
Tim Soderlund
Tim Soderlund
AGE:26
SK:75
EN:60
DU:50
PH:34
PA:38
SC:30
DF:50
Pavel Zacha
Pavel Zacha
AGE:27
SK:85
EN:85
DU:96
PH:76
PA:80
SC:72
DF:74
Kyle Okposo
Kyle Okposo
AGE:36
SK:79
EN:77
DU:89
PH:58
PA:52
SC:65
DF:74
Robby Fabbri
Robby Fabbri
AGE:28
SK:83
EN:76
DU:89
PH:64
PA:57
SC:72
DF:62
Jesperi Kotkaniemi
Jesperi Kotkaniemi
AGE:24
SK:79
EN:76
DU:97
PH:59
PA:56
SC:62
DF:66
Brett Howden
Brett Howden
AGE:26
SK:77
EN:77
DU:92
PH:56
PA:53
SC:59
DF:76
Nicklas Backstrom
Nicklas Backstrom
AGE:37
SK:83
EN:60
DU:50
PH:67
PA:69
SC:65
DF:59
Noah Gregor
Noah Gregor
AGE:26
SK:78
EN:74
DU:86
PH:53
PA:48
SC:58
DF:67
Alex Barre-Boulet
Alex Barre-Boulet
AGE:27
SK:81
EN:74
DU:68
PH:55
PA:47
SC:64
DF:62
Nathan Smith
Nathan Smith
AGE:26
SK:75
EN:69
DU:59
PH:46
PA:46
SC:46
DF:56
Peter Abbandonato
Peter Abbandonato
AGE:26
SK:77
EN:60
DU:50
PH:49
PA:53
SC:45
DF:60
Ryan Strome
Ryan Strome
AGE:31
SK:83
EN:81
DU:97
PH:66
PA:71
SC:61
DF:61
Kasperi Kapanen
Kasperi Kapanen
AGE:28
SK:79
EN:79
DU:93
PH:57
PA:58
SC:57
DF:78
Kevin Stenlund
Kevin Stenlund
AGE:28
SK:75
EN:76
DU:98
PH:53
PA:44
SC:61
DF:78
Filip Zadina
Filip Zadina
AGE:25
SK:80
EN:77
DU:92
PH:58
PA:51
SC:65
DF:65
Connor Brown
Connor Brown
AGE:30
SK:78
EN:76
DU:92
PH:52
PA:49
SC:55
DF:71

Défense #1Défense #2Gardien
Filip Hronek
Filip Hronek
AGE:27
SK:87
EN:89
DU:98
PH:71
PA:84
SC:58
DF:80
Adam Larsson
Adam Larsson
AGE:32
SK:75
EN:88
DU:98
PH:55
PA:54
SC:56
DF:88
Ty Emberson
Ty Emberson
AGE:24
SK:79
EN:81
DU:64
PH:59
PA:65
SC:54
DF:79
Bowen Byram
Bowen Byram
AGE:23
SK:83
EN:84
DU:93
PH:64
PA:60
SC:69
DF:71
Kevin Bahl
Kevin Bahl
AGE:24
SK:75
EN:79
DU:99
PH:51
PA:50
SC:52
DF:76
David Jiricek
David Jiricek
AGE:21
SK:75
EN:74
DU:72
PH:55
PA:57
SC:53
DF:69
Maxwell Crozier (R)
Maxwell Crozier
AGE:24
SK:76
EN:71
DU:52
PH:51
PA:53
SC:50
DF:71
Ryan Johnson (R)
Ryan Johnson
AGE:23
SK:76
EN:73
DU:71
PH:52
PA:54
SC:50
DF:71
Anthony Deangelo
Anthony Deangelo
AGE:29
SK:84
EN:74
DU:64
PH:62
PA:61
SC:62
DF:58
Dysin Mayo
Dysin Mayo
AGE:28
SK:75
EN:71
DU:66
PH:42
PA:44
SC:39
DF:59
Leon Gawanke
Leon Gawanke
AGE:25
SK:79
EN:55
DU:50
PH:58
PA:61
SC:56
DF:53
Cameron Crotty
Cameron Crotty
AGE:25
SK:75
EN:59
DU:54
PH:36
PA:35
SC:37
DF:66
Juuso Riikola
Juuso Riikola
AGE:31
SK:77
EN:55
DU:50
PH:52
PA:45
SC:32
DF:50
Austin Strand
Austin Strand
AGE:27
SK:75
EN:55
DU:50
PH:40
PA:34
SC:45
DF:57
Riley Stillman
Riley Stillman
AGE:26
SK:75
EN:55
DU:50
PH:31
PA:27
SC:35
DF:56
Axel Andersson
Axel Andersson
AGE:24
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
Thomas Gregoire
Thomas Gregoire
AGE:26
SK:78
EN:55
DU:50
PH:49
PA:44
SC:43
DF:50
Joonas Korpisalo
Joonas Korpisalo
AGE:30
SK:82
AG:64
RB:62
SC:61
HS:64
RT:61
DF:60
Vitek Vanecek
Vitek Vanecek
AGE:28
SK:82
AG:68
RB:69
SC:61
HS:62
RT:61
DF:63
Jaxson Stauber (R)
Jaxson Stauber
AGE:25
SK:75
AG:54
RB:52
SC:51
HS:50
RT:55
DF:50
Dustin Tokarski
Dustin Tokarski
AGE:35
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Hugo Alnefelt
Hugo Alnefelt
AGE:23
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Ilya Konovalov
Ilya Konovalov
AGE:26
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
Axel LandenSharks2037163
Chase CheslockSharks2037194
Damian ClaraSharks203765
Daniil ChechelevSharks2034102
Dominic BasseSharks2033178
Florian XhekajSharks203790
Ian ScottSharks2031147
Jacob GoldenSharks2031190
Jaromir PytlikSharks203493
Jesse NurmiSharks2037145
Jonathan CastagnaSharks203794
Julius MiettinenSharks203840
Kalan LindSharks203757
Kirill UstimenkoSharks2031126
Marcus KarlbergSharks203296
Paul FischerSharks2037168
Sacha BoisvertSharks203816
Sean KeohaneSharks2037214
Thimo NicklSharks2034124
Visa VedenpaaSharks2037209

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2039
2040
2041



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
4Braydon Coburn116199324423-11817302238112513417.38%15892406420.7362861486582101217830.00%00.3501
5Ryan Strome571152253405-791794131335140110.85%1121038518.1942741162931453620650.98%50.78624

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 Vanecek2249999170.8893.541255418774166900250.72755
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
203815111012003871-33705002001533-18816010002338-1563867105001711914031471121413496137145279691014.49%621674.19%024648850.41%26251351.07%13824057.50%33822937511619293
Total Saison régulière157351779504848848145735516-94378626838402330443723372708-37178724941102518404422362808-57213134573789212465284012714821533130547693924154561591414948516711560820917353997113132218.59%7741161079.20%81265475261050.46%268055548648.31%124462503749.71%357742341637980126452180310701
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