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Gulls
GP: 8 | W: 6 | L: 2 | OTL: 0 | P: 12
GF: 47 | GA: 27 | PP%: 33.33% | PK%: 67.86%
DG: David Talbot | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #150 vs Sound Tigers

Centre de jeu
Bruins
3-6-0, 6pts
3
7 Gulls
6-2-0, 12pts
Team Stats
W1SéquenceW2
1-3-0Fiche domicile3-1-0
2-3-0Fiche domicile3-1-0
3-6-0Derniers 10 matchs6-2-0
4.00Buts par match 5.88
3.44Buts contre par match 3.38
22.22%Pourcentage en avantage numérique33.33%
71.79%Pourcentage en désavantage numérique67.86%
Gulls
6-2-0, 12pts
3
1 Wolf Pack
1-10-0, 2pts
Team Stats
W2SéquenceL3
3-1-0Fiche domicile1-5-0
3-1-0Fiche domicile0-5-0
6-2-0Derniers 10 matchs1-9-0
5.88Buts par match 1.82
3.38Buts contre par match 5.27
33.33%Pourcentage en avantage numérique15.00%
67.86%Pourcentage en désavantage numérique78.95%
Gulls
6-2-0, 12pts
2026-10-20
Sound Tigers
6-2-0, 12pts
Statistiques d’équipe
W2SéquenceW4
3-1-0Fiche domicile2-2-0
3-1-0Fiche visiteur4-0-0
6-2-010 derniers matchs6-2-0
5.88Buts par match 4.38
3.38Buts contre par match 4.38
33.33%Pourcentage en avantage numérique21.05%
67.86%Pourcentage en désavantage numérique71.43%
Gulls
6-2-0, 12pts
2026-10-22
Comets
6-1-1, 13pts
Statistiques d’équipe
W2SéquenceW2
3-1-0Fiche domicile4-0-1
3-1-0Fiche visiteur2-1-0
6-2-010 derniers matchs6-1-1
5.88Buts par match 4.38
3.38Buts contre par match 4.38
33.33%Pourcentage en avantage numérique25.93%
67.86%Pourcentage en désavantage numérique75.00%
Gulls
6-2-0, 12pts
2026-10-24
Phantoms
7-4-0, 14pts
Statistiques d’équipe
W2SéquenceL2
3-1-0Fiche domicile3-3-0
3-1-0Fiche visiteur4-1-0
6-2-010 derniers matchs6-4-0
5.88Buts par match 3.27
3.38Buts contre par match 3.27
33.33%Pourcentage en avantage numérique37.50%
67.86%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Collin GrafButs
Collin Graf
14
Jack FinleyPasses
Jack Finley
18
Collin GrafPoints
Collin Graf
25
Collin GrafPlus/Moins
Collin Graf
14
Trent MinerVictoires
Trent Miner
6
Trent MinerPourcentage d’arrêts
Trent Miner
0.888

Statistiques d’équipe
Buts pour
47
5.88 GFG
Tirs pour
407
50.88 Avg
Pourcentage en avantage numérique
33.3%
9 GF
Début de zone offensive
44.1%
Buts contre
27
3.38 GAA
Tirs contre
241
30.13 Avg
Pourcentage en désavantage numérique
67.9%%
9 GA
Début de la zone défensive
36.0%
Informations de l'équipe

Directeur généralDavid Talbot
EntraîneurMike Van Ryn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,689
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 70
Espoirs63


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
1Collin GrafX100.00683794737587897069716882726467040690242925,000$
2Zach BensonX100.00633376746684867556746769736263040680221925,000$
3Jack FinleyXXX100.00845177659875766478636268616567040660242924,000$
4Tye KartyeX100.008443796773778463546462706566640406502631,055,000$
5Bradly NadeauX100.00653785666886846562636861666263040640222925,000$
6Landon SlaggertXX100.00693986677078856357605968626465040640251925,000$
7Wilmer SkoogXX100.00714173628094865863605964576769040630281925,000$
8Ozzy WiesblattXX100.00704268646777806263615762606466040620252925,000$
9Juraj Pekarcik (R)X100.00723895588167865963615758626163040620213925,000$
10Noel GunlerX100.00674076607680845755586156626567040610252975,000$
11Alexandre DoucetX100.00643886587368825753555654596466040600252925,000$
12Aidan Thompson (R)X100.00593689576884825660585355526466040590253925,000$
13Declan CarlileX100.00714472658183825830615664496668040630271925,000$
14Adam GinningX100.00714174598381825830575265466668040610273925,000$
15Cole McWardX100.00703891598081855730585456476567040610261925,000$
16Tanner Molendyk (R)X100.00633793637265825930605455476163040610223925,000$
17Maxence GuenetteX100.00653984607471795830615557486567040610262925,000$
18Nikita NovikovX100.00744275568364855530575458466365040600242925,000$
Rayé
1Martin FrkXX100.00704271677989856669656864677375040660332925,000$
MOYENNE D’ÉQUIPE100.0069408163767883615261596258656604063
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
1Trent Miner100.0077868274767577767577766573040670261925,000$
Rayé
1Domenic DiVincentiis100.0074837879737274737274736267040660232925,000$
2Mads Sogaard100.0073787498727173727173726675040650261925,000$
3Ty Young100.0070767280696870696870696267040630222925,000$
MOYENNE D’ÉQUIPE100.007481778373727473727473647104065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Van Ryn67697266696480CAN462500,000$


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
1Collin GrafGulls (ANA)RW8141125142022074144818.92%215519.39134922000001063.64%2200013.2200000210
2Jack FinleyGulls (ANA)C/LW/RW831821141552126365238.33%117922.460332210002220059.66%29000012.3400001010
3Zach BensonGulls (ANA)LW84141814001265312327.55%318923.691232220000280055.56%1800001.9000000011
4Adam GinningGulls (ANA)D8279141202421121018.18%1519724.70011121000017000%000000.9100000101
5Landon SlaggertGulls (ANA)LW/RW82790403253114266.45%115419.341235170000100042.86%2800001.1600000100
6Tye KartyeGulls (ANA)LW81780602226308333.33%215018.80123317000070060.00%1000001.0600000010
7Wilmer SkoogGulls (ANA)C/LW871818012223381621.21%215619.622135180001103054.79%21900001.0200000110
8Bradly NadeauGulls (ANA)LW82464003102082110.00%29011.3400010000000042.86%700001.3200000000
9Tanner MolendykGulls (ANA)D824672094201410.00%1216921.14022617000020000%000100.7100000001
10Declan CarlileGulls (ANA)D81561480261013957.69%1319624.62112621000019000%000000.6100000101
11Ozzy WiesblattGulls (ANA)C/RW8145300138166176.25%28510.7100000000000050.96%10400001.1700000000
12Cole McWardGulls (ANA)D8404740113162125.00%716320.46202417000016200%000000.4900000001
13Noel GunlerGulls (ANA)RW821334033165912.50%08410.6200000000000075.00%400000.7100000000
14Juraj PekarcikGulls (ANA)LW80332207210370%0486.06000000000000100.00%400001.2400000000
15Aidan ThompsonGulls (ANA)C81122001874614.29%1486.0600000000000054.55%5500000.8200000001
16Alexandre DoucetGulls (ANA)LW81012000412358.33%0486.06000000000000100.00%300000.4100000000
17Nikita NovikovGulls (ANA)D8011-1202125160%611214.070000000000000%000000.1800000000
18Maxence GuenetteGulls (ANA)D8011-200974160%912215.320000100006000%000000.1600000000
Statistiques d’équipe totales ou en moyenne14447891369869518820840710627511.55%78235516.36917264420200031616056.41%76400121.1500001656
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
1Trent MinerGulls (ANA)86200.8883.3748100272410000080001
Statistiques d’équipe totales ou en moyenne86200.8883.374810027241000080001


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Adam GinningGulls (ANA)D272000-01-13SWENo196 Lbs191 CMNoNoN/ANoNo32026-04-03FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Aidan ThompsonGulls (ANA)C252002-02-18USAYes180 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Alexandre DoucetGulls (ANA)LW252002-01-12CANNo192 Lbs183 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Bradly NadeauGulls (ANA)LW222005-05-05CANNo180 Lbs180 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cole McWardGulls (ANA)D262001-06-09USANo196 Lbs188 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Collin GrafGulls (ANA)RW242002-09-21USANo190 Lbs185 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Declan CarlileGulls (ANA)D272000-05-18USANo190 Lbs191 CMNoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Domenic DiVincentiisGulls (ANA)G232004-03-04CANNo191 Lbs188 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jack FinleyGulls (ANA)C/LW/RW242002-09-02CANNo227 Lbs198 CMNoNoN/ANoNo22026-06-29FalseFalsePro & Farm924,000$0$0$No924,000$--------924,000$--------No--------Lien / Lien NHL
Juraj PekarcikGulls (ANA)LW212005-09-12SVKYes204 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Landon SlaggertGulls (ANA)LW/RW252002-06-25USANo180 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Mads SogaardGulls (ANA)G262000-12-13DNKNo231 Lbs201 CMNoNoN/ANoNo12024-05-18FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Martin FrkGulls (ANA)LW/RW331993-10-05CZENo210 Lbs185 CMNoNoWaiverYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Maxence GuenetteGulls (ANA)D262001-04-28CANNo181 Lbs185 CMNoNoFree Agent2024-12-13NoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikita NovikovGulls (ANA)D242003-07-25RUSNo196 Lbs191 CMNoNoTrade2024-10-27NoNo22024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Noel GunlerGulls (ANA)RW252001-10-07SWENo176 Lbs188 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Ozzy WiesblattGulls (ANA)C/RW252002-03-09CANNo183 Lbs178 CMNoNoN/ANoNo22026-04-03FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Tanner MolendykGulls (ANA)D222005-02-03CANYes190 Lbs183 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Trent MinerGulls (ANA)G262001-02-05CANNo185 Lbs185 CMNoNoN/ANoNo12024-06-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ty YoungGulls (ANA)G222004-09-11CANNo181 Lbs191 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Tye KartyeGulls (ANA)LW262001-04-30CANNo202 Lbs180 CMNoNoTrade2026-08-31NoNo32026-07-18FalseFalsePro & Farm1,055,000$0$0$No1,055,000$1,055,000$-------1,055,000$1,055,000$-------NoNo-------Lien / Lien NHL
Wilmer SkoogGulls (ANA)C/LW281999-07-17SWENo196 Lbs188 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Zach BensonGulls (ANA)LW222005-05-12CANNo177 Lbs178 CMNoNoTrade2025-02-26NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.96193 Lbs185 CM1.91932,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach BensonJack FinleyCollin Graf40122
2Tye KartyeWilmer SkoogLandon Slaggert30122
3Bradly NadeauOzzy WiesblattNoel Gunler20122
4Juraj PekarcikAidan ThompsonAlexandre Doucet10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileAdam Ginning40122
2Cole McWardTanner Molendyk30122
3Maxence GuenetteNikita Novikov20122
4Declan CarlileAdam Ginning10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach BensonJack FinleyCollin Graf60122
2Tye KartyeWilmer SkoogLandon Slaggert40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileAdam Ginning60122
2Cole McWardTanner Molendyk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack FinleyZach Benson60122
2Wilmer SkoogTye Kartye40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileAdam Ginning60122
2Cole McWardTanner Molendyk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Finley60122Declan CarlileAdam Ginning60122
2Wilmer Skoog40122Cole McWardTanner Molendyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack FinleyZach Benson60122
2Wilmer SkoogTye Kartye40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlileAdam Ginning60122
2Cole McWardTanner Molendyk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach BensonJack FinleyCollin GrafDeclan CarlileAdam Ginning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeWilmer SkoogLandon SlaggertCole McWardTanner Molendyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Landon Slaggert, Bradly Nadeau, Wilmer SkoogLandon Slaggert, Bradly NadeauLandon Slaggert
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tanner Molendyk, Maxence Guenette, Nikita NovikovTanner MolendykTanner Molendyk, Maxence Guenette
Tirs de pénalité
Collin Graf, Zach Benson, Jack Finley, Tye Kartye, Landon Slaggert
Gardien
#1 : Trent Miner, #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
1Bruins11000000734110000007340000000000021.000713200020121415312612715222266244250.00%20100.00%019833559.10%14127351.65%9215160.93%219163165549752
2Checkers110000001841411000000184140000000000021.000183452002012141139126127152294021100.00%000%019833559.10%14127351.65%9215160.93%219163165549752
3Condors11000000532110000005320000000000021.00051015002012141351261271522371810255240.00%50100.00%019833559.10%14127351.65%9215160.93%219163165549752
4Heat2020000059-41010000025-31010000034-100.00051015002012141741261271522682114518225.00%6433.33%019833559.10%14127351.65%9215160.93%219163165549752
5Moose11000000321000000000001100000032121.0003690020121413312612715223291220200.00%5260.00%019833559.10%14127351.65%9215160.93%219163165549752
6Silver Knights10001000651000000000001000100065121.00061016002012141331261271522461414232150.00%7271.43%019833559.10%14127351.65%9215160.93%219163165549752
7Wolf Pack11000000312000000000001100000031221.00036900201214140126127152227613245240.00%3166.67%019833559.10%14127351.65%9215160.93%219163165549752
Total85201000472720431000003215174210100015123120.75047891360020121414071261271522241786918827933.33%28967.86%019833559.10%14127351.65%9215160.93%219163165549752
_Since Last GM Reset85201000472720431000003215174210100015123120.75047891360020121414071261271522241786918827933.33%28967.86%019833559.10%14127351.65%9215160.93%219163165549752
_Vs Conference52201000191902110000078-1311010001211160.6001936550020121411751261271522183625011917529.41%23865.22%019833559.10%14127351.65%9215160.93%219163165549752
_Vs Division412010001617-12110000078-12010100099040.500163046002012141142126127152215153389915533.33%18666.67%019833559.10%14127351.65%9215160.93%219163165549752

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
812W24789136407241786918800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
85210004727
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43100003215
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42110001512
Derniers 10 matchs
WLOTWOTL SOWSOL
620000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27933.33%28967.86%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
12612715222012141
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
19833559.10%14127351.65%9215160.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
219163165549752


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
4 - 2026-10-0218Gulls6Silver Knights5WXSommaire du match
6 - 2026-10-0439Checkers4Gulls18WSommaire du match
9 - 2026-10-0753Condors3Gulls5WSommaire du match
11 - 2026-10-0969Gulls3Moose2WSommaire du match
12 - 2026-10-1075Gulls3Heat4LSommaire du match
15 - 2026-10-1393Heat5Gulls2LSommaire du match
18 - 2026-10-16119Bruins3Gulls7WSommaire du match
21 - 2026-10-19138Gulls3Wolf Pack1WSommaire du match
22 - 2026-10-20150Gulls-Sound Tigers-
24 - 2026-10-22163Gulls-Comets-
26 - 2026-10-24177Gulls-Phantoms-
29 - 2026-10-27189Canucks-Gulls-
31 - 2026-10-29208Americans-Gulls-
34 - 2026-11-01228Senators-Gulls-
36 - 2026-11-03242Gulls-Canucks-
38 - 2026-11-05261Gulls-Condors-
39 - 2026-11-06263Gulls-Heat-
41 - 2026-11-08279Penguins-Gulls-
44 - 2026-11-11297Admirals-Gulls-
47 - 2026-11-14315Sound Tigers-Gulls-
48 - 2026-11-15328Heat-Gulls-
50 - 2026-11-17333Gulls-Thunderbirds-
52 - 2026-11-19357Gulls-Eagles-
53 - 2026-11-20367Gulls-Roadrunners-
55 - 2026-11-22384Gulls-Firebirds-
57 - 2026-11-24386Barracuda-Gulls-
58 - 2026-11-25410Reign-Gulls-
59 - 2026-11-26418Gulls-Reign-
62 - 2026-11-29440Wild-Gulls-
65 - 2026-12-02463Firebirds-Gulls-
67 - 2026-12-04479Moose-Gulls-
69 - 2026-12-06495Gulls-Senators-
71 - 2026-12-08508Gulls-Rocket-
73 - 2026-12-10521Gulls-Americans-
74 - 2026-12-11529Gulls-Marlies-
77 - 2026-12-14550Canucks-Gulls-
79 - 2026-12-16565Gulls-Wild-
81 - 2026-12-18579Gulls-Condors-
83 - 2026-12-20599Silver Knights-Gulls-
85 - 2026-12-22612Eagles-Gulls-
87 - 2026-12-24636Marlies-Gulls-
90 - 2026-12-27653Comets-Gulls-
92 - 2026-12-29673Phantoms-Gulls-
94 - 2026-12-31688Wild-Gulls-
97 - 2027-01-03708Stars-Gulls-
99 - 2027-01-05724Bears-Gulls-
101 - 2027-01-07729Wolf Pack-Gulls-
103 - 2027-01-09752Thunderbirds-Gulls-
105 - 2027-01-11769Gulls-Moose-
108 - 2027-01-14787Gulls-Griffins-
110 - 2027-01-16805Gulls-Penguins-
112 - 2027-01-18816Gulls-Wolves-
113 - 2027-01-19826Gulls-Monsters-
115 - 2027-01-21845Gulls-Stars-
117 - 2027-01-23852IceHogs-Gulls-
119 - 2027-01-25865Admirals-Gulls-
125 - 2027-01-31897Griffins-Gulls-
127 - 2027-02-02903IceHogs-Gulls-
129 - 2027-02-04912Gulls-Admirals-
131 - 2027-02-06929Gulls-Bruins-
132 - 2027-02-07942Gulls-Bears-
134 - 2027-02-09953Gulls-Crunch-
136 - 2027-02-11972Gulls-Checkers-
140 - 2027-02-15999Firebirds-Gulls-
142 - 2027-02-171012Gulls-Silver Knights-
143 - 2027-02-181019Rocket-Gulls-
145 - 2027-02-201038Gulls-Reign-
149 - 2027-02-241068Crunch-Gulls-
151 - 2027-02-261082Monsters-Gulls-
154 - 2027-03-011105Gulls-Stars-
157 - 2027-03-041122Gulls-Thunderbirds-
158 - 2027-03-051134Gulls-IceHogs-
160 - 2027-03-071153Wolves-Gulls-
162 - 2027-03-091165Roadrunners-Gulls-
164 - 2027-03-111174Silver Knights-Gulls-
166 - 2027-03-131193Barracuda-Gulls-
168 - 2027-03-151208Gulls-Barracuda-
169 - 2027-03-161211Gulls-Firebirds-
171 - 2027-03-181232Gulls-Canucks-
174 - 2027-03-211249Eagles-Gulls-
176 - 2027-03-231270Gulls-Roadrunners-
178 - 2027-03-251284Condors-Gulls-
181 - 2027-03-281306Reign-Gulls-
185 - 2027-04-011330Gulls-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance11,2497,506
Assistance PCT93.74%93.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 4689 - 93.78% 143,743$574,970$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
300,279$ 2,145,400$ 2,145,400$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 243,537$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,318,472$ 164 14,299$ 2,345,036$




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