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Sharks
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jason Vaillant | Morale : 70 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJason Vaillant
EntraîneurAdam Oates
DivisionCentrale
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure18
Limite contact 35 / 60
Espoirs26


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique110-41-13 (0.671%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)13-13
Coupe Stanley0


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
1Warren FoegeleXX100.00736092797976986873677069696262087700263900,000$
2Carl GrundstromX100.00816090708072817170647065715555088690241900,000$
3Jacob Peterson (R)XX100.00636095727171857184637265725555090680233900,000$
4Alex Barre-Boulet (R)X100.00656096746860608470607364795555090680251900,000$
5Joel KivirantaX100.007560957473697469706566656855550906702611,100,000$
6Givani SmithXX100.00778060708264626770646564665555090660241900,000$
7Alexey Toropchenko (R)XX100.00826088689170606770606566665555090650233900,000$
8Lane Pederson (R)X100.00796093707769607283646264675555090650251900,000$
9Zack SmithXX100.006060607676606060706060606077770906403421,900,000$
10Ty SmithX100.00666091836980888050746865745555087710221900,000$
11Riley StillmanX100.008170847880716664506666766555550877002421,300,000$
12Simon Benoit (R)X100.00896090708668716650636370655555090680243900,000$
13Jake Walman (R)X100.00696094718068646750656773675555090680263900,000$
14Kyle BurroughsX100.00866579708065616850646372665555090670273900,000$
15Josh Mahura (R)X100.00736092707468606650667166695555090660241900,000$
Rayé
MOYENNE D’ÉQUIPE100.0075628773786970696464676768575708967
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
1Antti Raanta100.00837779758785768778777684840877923311,900,000$
2Samuel Montembeault100.0077767883727168727872727472090722251900,000$
Rayé
MOYENNE D’ÉQUIPE100.008077797980787280787574797808976
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates51536157727161CAN5821,000,000$


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
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


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 Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex Barre-BouletSharks (S-J)C251997-05-21Yes180 Lbs5 ft10NoNoNo1Pro & Farm900,000$0$0$NoLien
Alexey ToropchenkoSharks (S-J)LW/RW231999-06-25Yes222 Lbs6 ft6NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Antti RaantaSharks (S-J)G331989-05-12No195 Lbs6 ft0NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Carl GrundstromSharks (S-J)RW241997-12-01No201 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Givani SmithSharks (S-J)LW/RW241998-02-27No210 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Jacob PetersonSharks (S-J)C/LW231999-07-19Yes180 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Jake WalmanSharks (S-J)D261996-02-20Yes215 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Joel KivirantaSharks (S-J)LW261996-03-23No180 Lbs5 ft11NoNoNo1Pro & Farm1,100,000$0$0$NoLien
Josh MahuraSharks (S-J)D241998-05-05Yes186 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Kyle BurroughsSharks (S-J)D271995-07-12No193 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Lane PedersonSharks (S-J)C251997-08-04Yes190 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Riley StillmanSharks (S-J)D241998-03-09No196 Lbs6 ft1NoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$Lien
Samuel MontembeaultSharks (S-J)G251996-10-30No199 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Simon BenoitSharks (S-J)D241998-09-19Yes203 Lbs6 ft3NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Ty SmithSharks (S-J)D222000-03-24No175 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoLien
Warren FoegeleSharks (S-J)LW/RW261996-04-01No198 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Zack SmithSharks (S-J)C/LW341988-04-05No208 Lbs6 ft2NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1725.59196 Lbs6 ft11.821,052,941$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Warren FoegeleAlex Barre-BouletCarl Grundstrom40122
2Joel KivirantaJacob PetersonGivani Smith30122
3Alexey ToropchenkoLane PedersonZack Smith20122
4Warren FoegeleZack SmithCarl Grundstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithRiley Stillman40122
2Jake WalmanSimon Benoit30122
3Kyle BurroughsJosh Mahura20122
4Ty SmithRiley Stillman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Warren FoegeleAlex Barre-BouletCarl Grundstrom60122
2Joel KivirantaJacob PetersonGivani Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithRiley Stillman60122
2Jake WalmanSimon Benoit40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Warren FoegeleCarl Grundstrom60122
2Alex Barre-BouletJacob Peterson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithRiley Stillman60122
2Jake WalmanSimon Benoit40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Warren Foegele60122Ty SmithRiley Stillman60122
2Carl Grundstrom40122Jake WalmanSimon Benoit40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Warren FoegeleCarl Grundstrom60122
2Alex Barre-BouletJacob Peterson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithRiley Stillman60122
2Jake WalmanSimon Benoit40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Warren FoegeleAlex Barre-BouletCarl GrundstromTy SmithRiley Stillman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Warren FoegeleAlex Barre-BouletCarl GrundstromTy SmithRiley Stillman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lane Pederson, Alexey Toropchenko, Joel KivirantaLane Pederson, Alexey ToropchenkoJoel Kiviranta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, Josh Mahura, Jake WalmanKyle BurroughsJosh Mahura, Jake Walman
Tirs de pénalité
Warren Foegele, Carl Grundstrom, Alex Barre-Boulet, Jacob Peterson, Joel Kiviranta
Gardien
#1 : Antti Raanta, #2 : Samuel Montembeault


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,790,000$ 1,790,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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
1Richard Panik1647897175829034538264712.06%52362222.091421351200221011744.9500.9715
2Evan Rodrigues1525999158673615842854410.85%39276518.20111930104011311557.6321.1423
3Zack Smith1024069109286821334835411.30%48211620.754202466303116359.2901.0323
4Christian Fischer164436510835622351874419.75%13216013.17911206900007144.3801.0002
5Brandon Pirri8255429747126517041113.38%26190123.19128208800086351.7431.0204

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
1Jack Campbell80541950.9083.15457312224025960300.80015
2Chris Driedger55331740.9072.8632112315316470000.2005
3Samuel Montembeault5231940.9112.7828302213114740200.6679

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
4824720074313472559241268032201881147441211204211159141181193476139600211711210813327410671058111949279781372321493025819.21%3225782.30%21673310153.95%1537300451.17%721138052.25%2050144618765801033530
202182512102503360246114412710011021891276241241101401171119521143606621022031361191034338011171092116120254571155320292827426.24%2475079.76%31828326356.02%1455271553.59%738138553.29%2135152817735661036536
Total Saison régulière164984109934707501206825318043223772411368245230561233026070233707127519820525323121117665421842150228069534215241276417858413222.60%56910781.20%53501636455.01%2992571952.32%1459276552.77%418629743649114720691066
Séries éliminatoires
4734000002628-2422000001717031200000911-262646720013751269751186115296807619136616.67%36877.78%115428653.85%17030256.29%6212649.21%172118187559145
2021191090000062566108200000332013927000002936-7206211217411251916281426725725337604176158531601220.00%731184.93%045182654.60%38667057.61%17530257.95%519372416131245128
Total Séries éliminatoires261313000008884414104000005037131239000003847-92688158246113826213108334237531452900256234722961818.75%1091982.57%1605111254.41%55697257.20%23742855.37%692490604186336174

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
1Zack Smith261420341310578110413.46%852520.225492301192160.8411.2900
2Richard Panik261213251310394610611.32%860923.433471810131156.7610.8200
3Kevan Miller195111652483224511.11%3748525.53213240000200.00%00.6600
4Evan Rodrigues268715-3102461879.20%246017.703252500003056.3000.6500
5Joakim Nordstrom1968140103434817.41%340321.261341600050050.0000.6900

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
1Chris Driedger1910720.9062.86115321555860010.00%0
2Jack Campbell73300.8974.0540000272630000.00%0
3Samuel Montembeault20010.9800.7778001500000.00%0