Connexion

Gulls
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Roger Storoschuk | Morale : 50 | Moyenne d’équipe : 60
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRoger Storoschuk
EntraîneurRick Tocchet
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro20
Équipe Mineure15
Limite contact 35 / 100
Espoirs69


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Sam LaffertyXXX100.0090468880766192705869736425696967806903022,200,000$
2Anthony BeauvillierXX100.0072439685666588725366606639767964796802811,430,000$
3Mike HoffmanX100.0064419280686584773767706436808066806803522,400,000$
4Cole Schwindt (R)XX100.007469876472808558755658605548475881610241934,000$
5Mikael PyyhtiaX100.006341996666647460325852732549486081600231897,500$
6Arnaud DurandeauX100.007066826266727656505850604845455727570261966,000$
7Brandon Coe (R)X100.007572816172687253504458625544445920560241925,000$
8Ryder RolstonXXX100.007972986173646753684655645345455920560231825,000$
9Jared Davidson (R)X100.007067776367585955694660605744445920550233842,000$
10Matt GrzelcykX100.0071528483617286632553507525727558816803121,800,000$
11Zachary JonesX100.0069429276666567632556496975565557736302411,258,000$
12Keaton MiddletonX100.0079875266887887482538426040484749776102721,171,000$
13Dysin MayoX100.0068686865687278512544406039646350786002921,934,000$
14Connor MackeyX100.0070785071785658482540415939474751205602811,319,000$
Rayé
1Noah CatesXX100.0074429978646688686366617725636264796702600$
2Kyle Masters (R)X100.0073668960665052462537395937444450205302200$
MOYENNE D’ÉQUIPE100.00736083707066765944535465425656585761
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Spencer Knight (R)100.005346587854586062626130454455815802422,472,000$
2Vadim Zherenko (R)100.00524759665555505655543044445321530241846,667$
3Devin Cooley100.004850638247485054484830444449225202821,750,000$
4Oskari Salminen100.00465265834245505345463044444822510251833,000$
Rayé
MOYENNE D’ÉQUIPE100.0050496177505253565352304444513754
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet80808080808080CAN5445,000,000$


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Anthony BeauvillierGulls (ANA)LW/RW281997-06-08QUENo183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,430,000$1,430,000$0$0$No---------------------------Lien / Lien NHL
Arnaud DurandeauGulls (ANA)LW261999-01-14QUENo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm966,000$966,000$0$0$No---------------------------Lien
Brandon CoeGulls (ANA)RW242001-01-12ONTYes188 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien
Cole SchwindtGulls (ANA)C/RW242001-04-25ONTYes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm934,000$934,000$0$0$No---------------------------Lien
Connor MackeyGulls (ANA)D281996-09-12USANo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,319,000$1,319,000$0$0$No---------------------------Lien
Devin CooleyGulls (ANA)G281997-05-24USANo189 Lbs6 ft5NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,750,000$1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Dysin MayoGulls (ANA)D291996-08-17BCNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,934,000$1,934,000$0$0$No1,934,000$--------1,934,000$--------No--------Lien / Lien NHL
Jared DavidsonGulls (ANA)C232002-07-07ABYes184 Lbs6 ft0NoNoN/ANoNo32025-05-01FalseFalsePro & Farm842,000$842,000$0$0$No842,000$842,000$-------842,000$842,000$-------NoNo-------
Keaton MiddletonGulls (ANA)D271998-02-10ABNo234 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,171,000$1,171,000$0$0$No1,171,000$--------1,171,000$--------No--------Lien / Lien NHL
Kyle MastersGulls (ANA)D222003-04-09ABYes175 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Matt GrzelcykGulls (ANA)D311994-01-05USANo174 Lbs5 ft9NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,800,000$1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------Lien / Lien NHL
Mikael PyyhtiaGulls (ANA)C232001-12-17FINNo174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm897,500$897,500$0$0$No---------------------------
Mike HoffmanGulls (ANA)LW351989-11-24ONTNo189 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm2,400,000$2,400,000$0$0$No2,400,000$--------2,400,000$--------No--------Lien / Lien NHL
Noah CatesGulls (ANA)C/LW261999-02-05USANo169 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Oskari SalminenGulls (ANA)G251999-09-22FINNo201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm833,000$833,000$0$0$No---------------------------Lien
Ryder RolstonGulls (ANA)C/LW/RW232001-10-31USANo190 Lbs6 ft2NoNoN/ANoNo12025-05-01FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------
Sam LaffertyGulls (ANA)C/LW/RW301995-03-06USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm2,200,000$2,200,000$0$0$No2,200,000$--------2,200,000$--------No--------Lien / Lien NHL
Spencer KnightGulls (ANA)G242001-04-18USAYes193 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm2,472,000$2,472,000$0$0$No2,472,000$--------925,000$--------No--------Lien
Vadim ZherenkoGulls (ANA)G242001-03-15RUSYes172 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm846,667$846,667$0$0$No---------------------------Lien
Zachary JonesGulls (ANA)D242000-10-18USANo174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,258,000$1,258,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2026.20187 Lbs6 ft11.351,240,158$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Lafferty40122
2Mike Hoffman30122
3Mike HoffmanAnthony Beauvillier20122
4Cole Schwindt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonDysin Mayo35122
2Matt Grzelcyk30122
3Keaton MiddletonDysin Mayo25122
4Zachary Jones10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Lafferty60122
2Mike Hoffman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonDysin Mayo60122
2Matt Grzelcyk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mike Hoffman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonDysin Mayo60122
2Matt Grzelcyk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mike Hoffman60122Keaton MiddletonDysin Mayo60122
240122Zachary Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mike Hoffman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoKeaton Middleton60122
2Matt Grzelcyk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HoffmanSam LaffertyMatt Grzelcyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HoffmanSam LaffertyMatt Grzelcyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Keaton Middleton, Dysin MayoKeaton Middleton, Keaton Middleton
Tirs de pénalité
, Sam Lafferty, Mike Hoffman, ,
Gardien
#1 : , #2 : Spencer Knight


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%000%0000%000%000%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%000%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%000%000%
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 billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
46 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,480,317$ 2,395,537$ 5,000,000$0$
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$




Gulls Leaders statistiques des joueurs (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

Gulls 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

Gulls 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

Gulls Leaders statistiques des joueurs (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

Gulls 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