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Gulls
GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 32 | GA: 14 | PP%: 30.00% | PK%: 76.47%
DG: David Talbot | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #75 vs Heat

Centre de jeu
Condors
1-3-0, 2pts
3
5 Gulls
4-0-0, 8pts
Team Stats
L3SéquenceW4
1-1-0Fiche domicile2-0-0
0-2-0Fiche domicile2-0-0
1-3-0Derniers 10 matchs4-0-0
2.25Buts par match 8.00
3.00Buts contre par match 3.50
5.56%Pourcentage en avantage numérique30.00%
87.50%Pourcentage en désavantage numérique76.47%
Gulls
4-0-0, 8pts
3
2 Moose
2-3-0, 4pts
Team Stats
W4SéquenceL1
2-0-0Fiche domicile1-2-0
2-0-0Fiche domicile1-1-0
4-0-0Derniers 10 matchs2-3-0
8.00Buts par match 2.20
3.50Buts contre par match 4.00
30.00%Pourcentage en avantage numérique27.78%
76.47%Pourcentage en désavantage numérique73.33%
Gulls
4-0-0, 8pts
2026-10-10
Heat
0-2-2, 2pts
Statistiques d’équipe
W4SéquenceL1
2-0-0Fiche domicile0-1-1
2-0-0Fiche visiteur0-1-1
4-0-010 derniers matchs0-2-2
8.00Buts par match 2.50
3.50Buts contre par match 2.50
30.00%Pourcentage en avantage numérique14.29%
76.47%Pourcentage en désavantage numérique70.00%
Heat
0-2-2, 2pts
2026-10-13
Gulls
4-0-0, 8pts
Statistiques d’équipe
L1SéquenceW4
0-1-1Fiche domicile2-0-0
0-1-1Fiche visiteur2-0-0
0-2-210 derniers matchs4-0-0
2.50Buts par match 8.00
3.75Buts contre par match 8.00
14.29%Pourcentage en avantage numérique30.00%
70.00%Pourcentage en désavantage numérique76.47%
Bruins
2-3-0, 4pts
2026-10-16
Gulls
4-0-0, 8pts
Statistiques d’équipe
L3SéquenceW4
1-2-0Fiche domicile2-0-0
1-1-0Fiche visiteur2-0-0
2-3-010 derniers matchs4-0-0
4.80Buts par match 8.00
2.80Buts contre par match 8.00
36.36%Pourcentage en avantage numérique30.00%
76.47%Pourcentage en désavantage numérique76.47%
Meneurs d'équipe
Collin GrafButs
Collin Graf
9
Jack FinleyPasses
Jack Finley
11
Collin GrafPoints
Collin Graf
17
Collin GrafPlus/Moins
Collin Graf
13
Trent MinerVictoires
Trent Miner
4
Trent MinerPourcentage d’arrêts
Trent Miner
0.887

Statistiques d’équipe
Buts pour
32
8.00 GFG
Tirs pour
240
60.00 Avg
Pourcentage en avantage numérique
30.0%
3 GF
Début de zone offensive
41.7%
Buts contre
14
3.50 GAA
Tirs contre
124
31.00 Avg
Pourcentage en désavantage numérique
76.5%%
4 GA
Début de la zone défensive
35.1%
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
Assistance4,902
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)RW4981713200642113021.43%27518.8200018000001080.00%1000014.5200000100
2Jack FinleyGulls (ANA)C/LW/RW43111413801292341013.04%08822.23000080001130060.54%14700013.1500000010
3Zach BensonGulls (ANA)LW438111300012355218.57%39423.63000080000170071.43%700002.3300000001
4Landon SlaggertGulls (ANA)LW/RW426832031118101511.11%08020.1611226000080052.63%1900001.9800000100
5Wilmer SkoogGulls (ANA)C/LW471846065246729.17%28020.1021346000163059.83%11700001.9900000110
6Adam GinningGulls (ANA)D4257134012082625.00%119924.8500008000012000%000001.4100000100
7Tye KartyeGulls (ANA)LW40773601111176190%17418.6702216000040066.67%600001.8700000010
8Bradly NadeauGulls (ANA)LW4224300151071320.00%14511.3500000000000033.33%600001.7600000000
9Ozzy WiesblattGulls (ANA)C/RW40442006286110%04110.4800000000000051.92%5200001.9100000000
10Tanner MolendykGulls (ANA)D41346003111129.09%58521.3101116000013000%000100.9400000001
11Declan CarlileGulls (ANA)D40331360846720%79724.3501108000010000%000000.6200000001
12Aidan ThompsonGulls (ANA)C41010000331533.33%1235.9700000000000053.33%3000000.8400000001
13Noel GunlerGulls (ANA)RW41012203182412.50%04110.2800000000000075.00%400000.4900000000
14Juraj PekarcikGulls (ANA)LW4011000218240%0235.97000000000000100.00%200000.8400000000
15Cole McWardGulls (ANA)D41016004281012.50%48220.6500016000010000%000000.2400000000
16Maxence GuenetteGulls (ANA)D4011-100722120%46115.370000000003000%000000.3300000000
17Alexandre DoucetGulls (ANA)LW4000000025140%0235.97000000000000100.00%10000000000000
18Nikita NovikovGulls (ANA)D40000001104110%45614.140000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne723260929336089772407415613.33%45117716.35369107800021004059.10%40100121.5600000434
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)44000.8873.4724200141240000040000
Statistiques d’équipe totales ou en moyenne44000.8873.472420014124000040000


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
1Checkers110000001841411000000184140000000000021.000183452001210911396176101294021100.00%000%010616564.24%7013950.36%619266.30%1178976234826
2Condors11000000532110000005320000000000021.00051015001210913561761012371810255240.00%50100.00%010616564.24%7013950.36%619266.30%1178976234826
3Moose11000000321000000000001100000032121.0003690012109133617610123291220200.00%5260.00%010616564.24%7013950.36%619266.30%1178976234826
4Silver Knights10001000651000000000001000100065121.00061016001210913361761012461414232150.00%7271.43%010616564.24%7013950.36%619266.30%1178976234826
Total4300100032141822000000237162100100097281.000326092001210912406176101212445368910330.00%17476.47%010616564.24%7013950.36%619266.30%1178976234826
_Since Last GM Reset4300100032141822000000237162100100097281.000326092001210912406176101212445368910330.00%17476.47%010616564.24%7013950.36%619266.30%1178976234826
_Vs Conference3200100014104110000005322100100097261.00014264000121091101617610121154136689333.33%17476.47%010616564.24%7013950.36%619266.30%1178976234826
_Vs Division210010001183110000005321000100065141.000112031001210916861761012833224487342.86%12283.33%010616564.24%7013950.36%619266.30%1178976234826

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
48W432609224012445368900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
43010003214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000237
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
210100097
Derniers 10 matchs
WLOTWOTL SOWSOL
400000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10330.00%17476.47%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
61761012121091
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
10616564.24%7013950.36%619266.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1178976234826


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 - 2026-10-1075Gulls-Heat-
15 - 2026-10-1393Heat-Gulls-
18 - 2026-10-16119Bruins-Gulls-
21 - 2026-10-19138Gulls-Wolf Pack-
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
Assistance6,0003,803
Assistance PCT100.00%95.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 4902 - 98.03% 151,143$302,286$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
157,289$ 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$ 127,567$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,894,577$ 174 14,299$ 2,488,026$




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