Connexion

Sharks
GP: 4 | W: 0 | L: 4
GF: 4 | GA: 18 | PP%: 5.88% | PK%: 73.91%
DG: Dave Mirandette | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Sharks
0-4-0, 0pts
1
FINAL
5 Admirals
7-4-0, 14pts
Team Stats
L4StreakL2
0-2-0Home Record3-3-0
0-2-0Away Record4-1-0
0-4-0Last 10 Games6-4-0
1.00Buts par match 2.91
4.50Buts contre par match 1.64
5.88%Pourcentage en avantage numérique20.34%
73.91%Pourcentage en désavantage numérique94.12%
Sharks
0-4-0, 0pts
0
FINAL
2 Admirals
7-4-0, 14pts
Team Stats
L4StreakL2
0-2-0Home Record3-3-0
0-2-0Away Record4-1-0
0-4-0Last 10 Games6-4-0
1.00Buts par match 2.91
4.50Buts contre par match 1.64
5.88%Pourcentage en avantage numérique20.34%
73.91%Pourcentage en désavantage numérique94.12%
Meneurs d'équipe
Buts
Danny O'Regan
1
Passes
Danny O'Regan
1
Points
Danny O'Regan
2
Plus/Moins
Ross Colton
0
Victoires
Max Lagace
0
Pourcentage d’arrêts
Max Lagace
0.826

Statistiques d’équipe
Buts pour
4
1.00 GFG
Tirs pour
59
14.75 Avg
Pourcentage en avantage numérique
5.9%
1 GF
Début de zone offensive
35.1%
Buts contre
18
4.50 GAA
Tirs contre
106
26.50 Avg
Pourcentage en désavantage numérique
73.9%
6 GA
Début de la zone défensive
42.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 60
Espoirs16


Historique d'équipe

Saison actuelle0-4
Historique45-31-6 (0.549%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-4
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
1Alan Quine0X100.00787389757360526475675569425556665000282735,000$
2Shane Pinto (R)0X100.007343777872635064738058792545456248002031,325,000$
3Brett Connolly0XX100.007544928174657469356369582573756550002913,500,000$
4Danny O'Regan0XX100.00746692686576756579636264644444675000271874,125$
5Danton Heinen0XX100.00674297806968827033666970256567655000251995,833$
6Nicolas Deslauriers0XX100.009199647181578359286061702568686650003011,000,000$
7Otto Koivula0XX100.00796586668454595564545169454545615000222925,000$
8Ross Colton0XX100.00755978657067726276626959254646625000243700,005$
9Sam Steel0XX100.00694292816769817087666363255959665000231863,333$
10Troy Terry0XX100.005740927765688375407064556359596450002311,491,666$
11Jordy Bellerive0X100.00696967666969655974526260614444625000221733,333$
12Travis Boyd0XXX100.00664298636758616558686462255758615000272800,000$
13Shane Bowers0X100.007670896670626357725160635844446350002121,075,000$
14Ian Mitchell (R)0X100.006541887663666759254949682547475650002211,775,000$
15Connor Clifton0X100.009246827864706657254548734556586050002641,000,000$
16Mark Pysyk0X100.007344867074597359354755722568696150002922,733,333$
17Nick Holden0X100.008451947780726260255049742570726350003412,200,000$
18Rasmus Sandin0X100.00774394806665546925654861254747585000212894,167$
19Trevor van Riemsdyk0X100.00664295807068596125504875256668605000293800,050$
Rayé
1Brayden Burke0XX100.00686182626068646250655660434444595000242925,000$
2Brett Seney0XX100.00625675775675715974545958534949625000251757,500$
3Rourke Chartier (R)0X100.00776995646947475063504662444444585000251950,000$
4Brett Leason0X100.00817791647766665650545466594444635000222925,000$
5Noah Juulsen0X100.007771925375454148254039623746465350002411,063,333$
6Max Gildon (R)0X100.00747376647358605425534162394444565000221925,000$
7Jared McIsaac (R)0X100.00787293617246474725393962374444545000211896,667$
8Nikita Okhotyuk (R)0X100.00697165637157604725374157394444535000201910,833$
MOYENNE D’ÉQUIPE100.0074588671706364604856556538525361500
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
1Aaron Dell100.00575864755557596161583057575850003211,900,000$
2Max Lagace100.0061597475616362676464304444595000283875,000$
Rayé
MOYENNE D’ÉQUIPE100.005959697558606164636130515159500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight75717977747077USA5221,250,000$


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
1Danny O'ReganSharks (SJS)C/LW4112-1000754220.00%1317.810000000000000.00%000001.2800000000
2Connor CliftonSharks (SJS)D4011-160201000.00%14110.360000000000000.00%000000.4800000000
3Nicolas DeslauriersSharks (SJS)LW/RW4101-3207363316.67%15213.05101312000000025.00%400000.3800000000
4Mark PysykSharks (SJS)D4011-100130010.00%04110.340000000000000.00%000000.4800000000
5Troy TerrySharks (SJS)C/RW4011-3000133230.00%05513.79011012000020026.32%5700000.3600000000
6Travis BoydSharks (SJS)C/LW/RW4011-300021010.00%05213.05011112000000080.00%500000.3800000000
7Rasmus SandinSharks (SJS)D4000-640912010.00%15213.080000000002000.00%000000.0000000000
8Ross ColtonSharks (SJS)C/LW40000401155230.00%24010.2000000000000050.00%200000.0000000000
9Sam SteelSharks (SJS)C/LW4000-4806872100.00%06817.18000413000010054.24%5900000.0000000000
10Trevor van RiemsdykSharks (SJS)D4000-640652000.00%25213.110000000002000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne40257-2828042473213246.25%848712.201238510000100041.73%12700000.2900000000
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
1Max LagaceSharks (SJS)40400.8264.711910015860000.000040000
Statistiques d’équipe totales ou en moyenne40400.8264.711910015860000.000040000


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
Aaron DellSharks (SJS)G321989-05-04No209 Lbs6 ft0NoNoNo1Pro & Farm1,900,000$1,900,000$0$0$NoLien
Alan QuineSharks (SJS)C281993-02-24No203 Lbs6 ft0NoNoNo2Pro & Farm735,000$735,000$0$0$No735,000$Lien
Brayden BurkeSharks (SJS)LW/RW241997-01-01No165 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Brett ConnollySharks (SJS)LW/RW291992-05-01No198 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$0$0$NoLien
Brett LeasonSharks (SJS)RW221999-04-30No201 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Brett SeneySharks (SJS)C/LW251996-02-27No156 Lbs5 ft9NoNoNo1Pro & Farm757,500$757,500$0$0$NoLien
Connor CliftonSharks (SJS)D261995-04-28No175 Lbs5 ft11NoNoNo4Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$Lien
Danny O'ReganSharks (SJS)C/LW271994-01-30No180 Lbs5 ft10NoNoNo1Pro & Farm874,125$450,000$0$0$NoLien
Danton HeinenSharks (SJS)LW/RW251995-07-05No188 Lbs6 ft1NoNoNo1Pro & Farm995,833$995,833$0$0$NoLien
Ian MitchellSharks (SJS)D221999-01-18Yes173 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$450,000$0$0$No
Jared McIsaacSharks (SJS)D212000-03-26Yes196 Lbs6 ft1NoNoNo1Pro & Farm896,667$896,667$0$0$No
Jordy BelleriveSharks (SJS)C221999-05-02No195 Lbs5 ft10NoNoNo1Pro & Farm733,333$733,333$0$0$NoLien
Mark PysykSharks (SJS)D291992-01-11No200 Lbs6 ft1NoNoNo2Pro & Farm2,733,333$2,733,333$0$0$No2,733,333$Lien
Max GildonSharks (SJS)D221999-05-17Yes192 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$No
Max LagaceSharks (SJS)G281993-01-11No190 Lbs6 ft2NoNoNo3Pro & Farm875,000$700,000$0$0$No700,000$700,000$Lien
Nick HoldenSharks (SJS)D341987-05-14No214 Lbs6 ft4NoNoNo1Pro & Farm2,200,000$2,200,000$0$0$NoLien
Nicolas DeslauriersSharks (SJS)LW/RW301991-02-22No215 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Nikita OkhotyukSharks (SJS)D202000-12-04Yes194 Lbs6 ft1NoNoNo1Pro & Farm910,833$910,833$0$0$No
Noah JuulsenSharks (SJS)D241997-04-02No201 Lbs6 ft2NoNoNo1Pro & Farm1,063,333$1,063,333$0$0$NoLien
Otto KoivulaSharks (SJS)C/LW221998-09-01No223 Lbs6 ft5NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Rasmus SandinSharks (SJS)D212000-03-07No183 Lbs5 ft11NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Ross ColtonSharks (SJS)C/LW241996-09-11No191 Lbs6 ft0NoNoNo3Pro & Farm700,005$700,000$0$0$No700,000$700,000$Lien
Rourke ChartierSharks (SJS)C251996-04-03Yes190 Lbs5 ft11NoNoNo1Pro & Farm950,000$450,000$0$0$NoLien
Sam SteelSharks (SJS)C/LW231998-02-03No189 Lbs5 ft11NoNoNo1Pro & Farm863,333$450,000$0$0$NoLien
Shane BowersSharks (SJS)C211999-07-30No186 Lbs6 ft2NoNoNo2Pro & Farm1,075,000$1,075,000$0$0$No1,075,000$Lien
Shane PintoSharks (SJS)C202000-11-12Yes192 Lbs6 ft2NoNoNo3Pro & Farm1,325,000$925,000$0$0$No1,325,000$1,325,000$
Travis BoydSharks (SJS)C/LW/RW271993-09-14No185 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Trevor van RiemsdykSharks (SJS)D291991-07-24No188 Lbs6 ft2NoNoNo3Pro & Farm800,050$800,000$0$0$No800,000$800,000$Lien
Troy TerrySharks (SJS)C/RW231997-09-10No174 Lbs6 ft1NoNoNo1Pro & Farm1,491,666$1,491,666$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.00191 Lbs6 ft11.661,191,351$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Steel35122
2Nicolas DeslauriersTroy TerryTravis Boyd30122
3Ross Colton25122
4Danny O'Regan10122
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
2Nicolas DeslauriersTroy 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, Nicolas Deslauriers
Gardien
#1 : Max Lagace, #2 :


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
1Admirals40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
Total40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
_Since Last GM Reset40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
_Vs Conference40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
_Vs Division40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L448125910620485800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000418
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000311
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000017
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1715.88%23673.91%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
19261400220
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
318735.63%3810635.85%245543.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8662107284520


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
1 - 2022-03-168Admirals6Sharks2BLSommaire du match
2 - 2022-03-1716Admirals5Sharks1BLSommaire du match
3 - 2022-03-1824Sharks1Admirals5ALSommaire du match
4 - 2022-03-1932Sharks0Admirals2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,454,916$ 3,131,165$ 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
1Sam Steel74293362-74210221320314.29%17142719.291119305300014560.64%00.8716
2Nick Holden71114354-11132160881238.94%68148720.9681927940001110.00%00.7300
3Troy Terry82223153-1121616416413.41%7143217.47514194210157340.33%00.7456
4Travis Boyd82142943-1010146611911.76%3128215.65511163600002141.67%00.6700
5Ross Colton74241438210011310115815.19%892012.44000000004166.67%00.8300

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
1Max Lagace74412560.8832.6341772618315640120.61331
2David Rittich59242870.8742.4734254514111200310.66724
3Aaron Dell90100.8872.9624300121060000.0000

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
202182353104462223225-24124110114012594314111200332298131-339622338460727747069211735560552603521870489102814054487316.29%4126284.95%21038227745.59%1047237344.12%584118949.12%201414281987591979488
Total Saison régulière82353104462223225-24124110114012594314111200332298131-339622338460727747069211735560552603521870489102814054487316.29%4126284.95%21038227745.59%1047237344.12%584118949.12%201414281987591979488
202140400000418-1420200000311-82020000017-6048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
Total Séries éliminatoires40400000418-1420200000311-82020000017-6048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520

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
1Danny O'Regan4112-1007520.00%1317.8100000000000.00%01.2800
2Troy Terry4011-3001330.00%05513.79011000000026.32%00.3600
3Nicolas Deslauriers4101-3273616.67%15213.05101300000025.00%00.3800
4Connor Clifton4011-162010.00%14110.3600000000000.00%00.4800
5Travis Boyd4011-300210.00%05213.05011100000080.00%00.3800

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
1Max Lagace40400.8264.711910015860000.0000