Connexion

Sharks
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dave Mirandette | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDave Mirandette
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure16
Limite contact 41 / 60
Espoirs16


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
1Alan Quine0X100.00797392757350486278645469515556635000291735,000$
2Jonathan Dahlen (R)0X100.00614193806667597625637267255151705000242750,000$
3Brayden Burke0XX100.00686085626058586075625460514444595000251925,000$
4Brett Seney0XX100.00595665775671736780676259594949655000264750,000$
5Beck Malenstyn (R)0XX100.00939679687853646031505874254545635000242750,000$
6Danton Heinen0XX100.007343928069638567256575642567677250002641,110,000$
7Otto Koivula0XX100.00754599718458686267705563254545635000231925,000$
8Ross Colton0XX100.00844590797064827181677968535759755000252700,000$
9Sam Steel0XX100.00654191816763816369665968256262665000242874,125$
10Troy Terry0XX100.005740898265798779287992674262628250002421,450,000$
11Jordy Bellerive (R)0X100.00666958636965685468564858464444555000233733,333$
12Travis Boyd0XXX100.00754386706774827280697471256262745000281800,000$
13Brett Leason0X100.00634296707752765936585867254747625000231925,000$
14Shane Bowers (R)0X100.007670896670545552654456625344445850002211,075,000$
15Ian Mitchell (R)0X100.006140997663588056255047732548486050002331,775,000$
16Connor Clifton0X100.009166847665697859255048774560626350002731,000,000$
17Noah Juulsen0X100.00904699687565615325594778254747635000251750,000$
18Max Gildon (R)0X100.00787391707350514725384162394444525000233925,000$
19Mark Pysyk0X100.006742917874757860255048872570706350003012,733,333$
20Jared McIsaac (R)0X100.00757185677158605025444161394444545000224896,667$
21Nikita Okhotyuk (R)0X100.00717170767168744725374158394444525000214905,000$
22Rasmus Sandin0X100.00824497836672597025565068255556635000221894,167$
23Trevor van Riemsdyk0X100.00615583807172725825564789256868635000302800,000$
24Tobias Geisser (R)0X100.00817790637754564625374063384444525000233873,778$
Rayé
MOYENNE D’ÉQUIPE100.0073568773706369604457566836525363500
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
1Maxime Lagace100.0057445575606163656665304444605000292875,000$
Rayé
MOYENNE D’ÉQUIPE100.005744557560616365666530444460500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Salaire restantSalaire moyenSalaire moyen restantPlafond 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
Alan QuineSharks (SJS)C291993-02-25No203 Lbs6 ft0NoNoNo1Pro & Farm735,000$735,000$735,000$735,000$0$0$NoLien
Beck MalenstynSharks (SJS)LW/RW241998-02-04Yes200 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Brayden BurkeSharks (SJS)LW/RW251997-01-01No165 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Brett LeasonSharks (SJS)RW231999-04-30No201 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Brett SeneySharks (SJS)C/LW261996-02-27No156 Lbs5 ft9NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Connor CliftonSharks (SJS)D271995-04-28No175 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
Danton HeinenSharks (SJS)LW/RW261995-07-05No188 Lbs6 ft1NoNoNo4Pro & Farm1,110,000$1,110,000$1,110,000$1,110,000$0$0$No1,110,000$1,110,000$1,110,000$Lien
Ian MitchellSharks (SJS)D231999-01-18Yes173 Lbs5 ft11NoNoNo3Pro & Farm1,775,000$1,775,000$1,775,000$1,775,000$0$0$No1,775,000$1,775,000$Lien
Jared McIsaacSharks (SJS)D222000-03-27Yes192 Lbs6 ft1NoNoNo4Pro & Farm896,667$896,667$896,667$896,667$0$0$No896,667$896,667$896,667$Lien
Jonathan DahlenSharks (SJS)LW241997-12-20Yes181 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Jordy BelleriveSharks (SJS)C231999-05-02Yes195 Lbs5 ft10NoNoNo3Pro & Farm733,333$733,333$733,333$733,333$0$0$No733,333$733,333$Lien
Mark PysykSharks (SJS)D301992-01-11No200 Lbs6 ft1NoNoNo1Pro & Farm2,733,333$2,733,333$2,733,333$2,733,333$0$0$NoLien
Max GildonSharks (SJS)D231999-05-17Yes194 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Maxime LagaceSharks (SJS)G291993-01-12No190 Lbs6 ft2NoNoNo2Pro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Lien
Nikita OkhotyukSharks (SJS)D212000-12-04Yes194 Lbs6 ft1NoNoNo4Pro & Farm905,000$905,000$905,000$905,000$0$0$No905,000$905,000$905,000$Lien
Noah JuulsenSharks (SJS)D251997-04-02No201 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Otto KoivulaSharks (SJS)C/LW231998-09-01No223 Lbs6 ft5NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Rasmus SandinSharks (SJS)D222000-03-07No183 Lbs5 ft11NoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Ross ColtonSharks (SJS)C/LW251996-09-11No191 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Lien
Sam SteelSharks (SJS)C/LW241998-02-03No189 Lbs5 ft11NoNoNo2Pro & Farm874,125$874,125$874,125$874,125$0$0$No874,125$Lien
Shane BowersSharks (SJS)C221999-07-30Yes186 Lbs6 ft2NoNoNo1Pro & Farm1,075,000$1,075,000$1,075,000$1,075,000$0$0$NoLien
Tobias GeisserSharks (SJS)D231999-02-13Yes201 Lbs6 ft4NoNoNo3Pro & Farm873,778$873,778$873,778$873,778$0$0$No873,778$873,778$
Travis BoydSharks (SJS)C/LW/RW281993-09-14No185 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$NoLien
Trevor van RiemsdykSharks (SJS)D301991-07-24No188 Lbs6 ft2NoNoNo2Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$Lien
Troy TerrySharks (SJS)C/RW241997-09-10No174 Lbs6 ft1NoNoNo2Pro & Farm1,450,000$1,450,000$1,450,000$1,450,000$0$0$No1,450,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.84189 Lbs6 ft12.16997,216$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Steel35122
2Troy TerryTravis Boyd30122
3Ross Colton25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Rasmus SandinTrevor van Riemsdyk30122
3Mark PysykConnor Clifton25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Steel60122
2Troy TerryTravis Boyd40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Rasmus SandinTrevor van Riemsdyk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Sam SteelTroy Terry40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Rasmus SandinTrevor van Riemsdyk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Rasmus SandinTrevor van Riemsdyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Sam SteelTroy Terry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Rasmus SandinTrevor van Riemsdyk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam Steel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam Steel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Pysyk, Connor Clifton, Mark PysykConnor Clifton,
Tirs de pénalité
, , Sam Steel, Troy Terry,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,493,041$ 2,493,041$ 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

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

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

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

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