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San Diego Gulls
GP: 10 | W: 1 | L: 8 | OTL: 1 | P: 3
GF: 38 | GA: 56 | PP%: 32.14% | PK%: 69.23%
DG: Kevin Parisien | Morale : 29 | Moyenne d’équipe : 62
Prochains matchs #177 vs Phantoms

Centre de jeu
San Diego Gulls
1-8-1, 3pts
2
3 Bridgeport Islanders
6-4-0, 12pts
Team Stats
OTL1SéquenceW4
1-3-0Fiche domicile3-3-0
0-5-1Fiche domicile3-1-0
1-8-1Derniers 10 matchs6-4-0
3.80Buts par match 3.50
5.60Buts contre par match 3.00
32.14%Pourcentage en avantage numérique13.79%
69.23%Pourcentage en désavantage numérique77.78%
San Diego Gulls
1-8-1, 3pts
3
4 Utica Comets
3-6-1, 7pts
Team Stats
OTL1SéquenceW1
1-3-0Fiche domicile3-3-1
0-5-1Fiche domicile0-3-0
1-8-1Derniers 10 matchs3-6-1
3.80Buts par match 2.30
5.60Buts contre par match 3.30
32.14%Pourcentage en avantage numérique21.88%
69.23%Pourcentage en désavantage numérique86.67%
San Diego Gulls
1-8-1, 3pts
2026-10-24
Phantoms
5-4-3, 13pts
Statistiques d’équipe
OTL1SéquenceW1
1-3-0Fiche domicile3-2-1
0-5-1Fiche visiteur2-2-2
1-8-110 derniers matchs4-3-3
3.80Buts par match 3.33
5.60Buts contre par match 3.33
32.14%Pourcentage en avantage numérique21.28%
69.23%Pourcentage en désavantage numérique71.43%
Abbotsford Canucks
6-3-3, 15pts
2026-10-27
San Diego Gulls
1-8-1, 3pts
Statistiques d’équipe
L2SéquenceOTL1
2-2-1Fiche domicile1-3-0
4-1-2Fiche visiteur0-5-1
4-3-310 derniers matchs1-8-1
4.58Buts par match 3.80
2.92Buts contre par match 3.80
21.43%Pourcentage en avantage numérique32.14%
92.68%Pourcentage en désavantage numérique69.23%
Rochester Americans
4-6-0, 8pts
2026-10-29
San Diego Gulls
1-8-1, 3pts
Statistiques d’équipe
L3SéquenceOTL1
2-4-0Fiche domicile1-3-0
2-2-0Fiche visiteur0-5-1
4-6-010 derniers matchs1-8-1
3.30Buts par match 3.80
2.70Buts contre par match 3.80
20.00%Pourcentage en avantage numérique32.14%
74.29%Pourcentage en désavantage numérique69.23%
Meneurs d'équipe
Jacob QuillanButs
Jacob Quillan
5
Drew HellesonPasses
Drew Helleson
11
Drew HellesonPoints
Drew Helleson
12
Fabian LysellPlus/Moins
Fabian Lysell
5
Hampton SlukynskyVictoires
Hampton Slukynsky
1
Hampton SlukynskyPourcentage d’arrêts
Hampton Slukynsky
0.923

Statistiques d’équipe
Buts pour
38
3.80 GFG
Tirs pour
332
33.20 Avg
Pourcentage en avantage numérique
32.1%
9 GF
Début de zone offensive
39.4%
Buts contre
56
5.60 GAA
Tirs contre
403
40.30 Avg
Pourcentage en désavantage numérique
69.2%%
12 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralKevin Parisien
EntraîneurAnders Sorensen
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,794
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 60
Espoirs16


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Austin Poganski0X100.006838916577788763676461626670750376503121,000,000$
2Jacob Quillan0XX100.007139856478808561656260686364660326402521,000,000$
3Jaret Anderson-Dolan0XXX100.008339776372788462646155605667690326302721,000,000$
4Matthew Highmore0XXX100.006936926471788562656056685970720326303121,000,000$
5Noah Philp0X100.007239866483808258745961576268700326302921,000,000$
6Fabian Lysell0XX100.00613976667082836458635957666365039620243925,000$
7Jason Polin0X100.006937935974807757665558615667690326102821,000,000$
8Eduard Sale0X100.006638925975798056555857545961630326002231,000,000$
9Aidan Thompson (R)0X100.00593689576884825660585355526466032590253925,000$
10Dylan Wendt0X100.006738915676636554505552575365670325802621,000,000$
11Riley Heidt (R)0X100.00573883566669875459575553566163032580223925,000$
12Drew Helleson0X100.007543806485838462306757725065660326502621,000,000$
13Trevor Carrick0X100.006641726375818459306456584972770316203321,000,000$
14Nolan Allan0X100.007054716379828462306454654963650326202431,000,000$
15Hunter Drew0X100.007055535879778257515659545568700336002821,000,000$
16Chris Harpur0X100.007539925784626556305550584570720326003021,000,000$
17Mason Geertsen0X100.008078535593697354505352585171730345903221,000,000$
18Mattias Havelid (R)0X100.00553689586466765630575552476567032580263925,000$
19Tomas Hamara (R)0X100.00623888537163685230515456456264032570233925,000$
Rayé
MOYENNE D’ÉQUIPE100.0068428260767580585159565955666803361
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
1Nikke Kokko0100.0077858180767577767577766267035670232925,000$
2Hampton Slukynsky (R)0100.0078716873777678777678776165040670223925,000$
Rayé
1Calle Clang0100.00758480797473757473757464710406602521,000,000$
2Filip Larsson0100.00697772796867696867696870810406202921,000,000$
3Vyacheslav Buteyets0100.00567268905554565554565564710355502521,000,000$
MOYENNE D’ÉQUIPE100.007178748070697170697170647103863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen73717275767074SWE5122,500,000$


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
1Drew HellesonSan Diego Gulls (ANA)D1011112-16402924207165.00%3024324.391561023000028000%000000.9800000100
2Jaret Anderson-DolanSan Diego Gulls (ANA)C/LW/RW103912-812040132191814.29%120620.611345220000170057.14%2100001.1600000000
3Jacob QuillanSan Diego Gulls (ANA)C/LW105712-840163539153812.82%123123.120117220001341051.42%28200011.0400000001
4Fabian LysellSan Diego Gulls (ANA)LW/RW83695204174010197.50%212315.41112611000070066.67%600001.4600000010
5Nolan AllanSan Diego Gulls (ANA)D10358-178021141951315.79%2224124.143251423000026000%000000.6600000000
6Matthew HighmoreSan Diego Gulls (ANA)C/LW/RW83472608122342213.04%210413.11112411000010045.45%1100001.3400000001
7Chris HarpurSan Diego Gulls (ANA)D101670407788712.50%2015115.170000500007000%000000.9200000000
8Aidan ThompsonSan Diego Gulls (ANA)C10347-26081827131811.11%215515.5600001000070051.38%18100000.9000000000
9Noah PhilpSan Diego Gulls (ANA)C10246-6801634229169.09%120820.850223180000230054.25%24700000.5800000000
10Jason PolinSan Diego Gulls (ANA)RW10325-220992762311.11%317317.3500039000050033.33%1200000.5800000000
11Austin PoganskiSan Diego Gulls (ANA)RW5404-2005181862022.22%312925.881012130000210043.08%6500000.6200000000
12Hunter DrewSan Diego Gulls (ANA)D1004401953189280%1118818.89000217000023000%000000.4200001000
13Dylan WendtSan Diego Gulls (ANA)RW10224-50011131921310.53%210910.9201116000000066.67%900000.7300000001
14Riley HeidtSan Diego Gulls (ANA)C10224-600912131815.38%410810.8200000000150028.21%3900000.7400000000
15Mason GeertsenSan Diego Gulls (ANA)D5033395721140%35711.460000000005000%000001.0500100000
16Eduard SaleSan Diego Gulls (ANA)LW10213-2201213246238.33%015815.8310136000010028.57%700000.3800000000
17Tomas HamaraSan Diego Gulls (ANA)D10123-1608451320.00%911011.020000000005000%000000.5400000000
18Trevor CarrickSan Diego Gulls (ANA)D50223005511130%59719.42011610000020000%000000.4100000000
19Mattias HavelidSan Diego Gulls (ANA)D10112-1604560516.67%911111.170000100005000%000000.3600000000
Statistiques d’équipe totales ou en moyenne1713975114-63981025026335210627711.08%130291017.02917266620900022491050.45%88000010.7800101113
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
1Hampton SlukynskySan Diego Gulls (ANA)51310.9232.9830200151950010050011
Statistiques d’équipe totales ou en moyenne51310.9232.983020015195001050011


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
Aidan ThompsonSan Diego Gulls (ANA)C252002-02-18USAYes180 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Austin PoganskiSan Diego Gulls (ANA)RW311996-02-16USANo198 Lbs185 CMNoNoTrade2026-10-06YesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Calle ClangSan Diego Gulls (ANA)G252002-05-20SWENo194 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Chris HarpurSan Diego Gulls (ANA)D301996-09-13CANNo201 Lbs191 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Drew HellesonSan Diego Gulls (ANA)D262001-03-26USANo208 Lbs191 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Dylan WendtSan Diego Gulls (ANA)RW262001-01-09USANo195 Lbs185 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Eduard SaleSan Diego Gulls (ANA)LW222005-03-10CZENo174 Lbs188 CMNoNoFantasy DraftNoNo32026-04-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Fabian LysellSan Diego Gulls (ANA)LW/RW242003-01-19SWENo181 Lbs180 CMNoNoTrade2026-10-06NoNo32026-05-18FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Filip LarssonSan Diego Gulls (ANA)G291998-08-17SWENo194 Lbs188 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Hampton SlukynskySan Diego Gulls (ANA)G222005-07-02USAYes179 Lbs185 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Hunter DrewSan Diego Gulls (ANA)D281998-10-21CANNo191 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jacob QuillanSan Diego Gulls (ANA)C/LW252002-02-02CANNo204 Lbs185 CMNoNoTrade2026-01-19NoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jaret Anderson-DolanSan Diego Gulls (ANA)C/LW/RW271999-09-12CANNo200 Lbs180 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jason PolinSan Diego Gulls (ANA)RW281999-06-17USANo198 Lbs183 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Mason GeertsenSan Diego Gulls (ANA)D321995-04-19CANNo231 Lbs193 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Matthew HighmoreSan Diego Gulls (ANA)C/LW/RW311996-02-27CANNo186 Lbs180 CMNoNoTrade2026-10-06YesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Mattias HavelidSan Diego Gulls (ANA)D262001-01-04SWEYes170 Lbs178 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nikke KokkoSan Diego Gulls (ANA)G232004-03-14FINNo184 Lbs191 CMNoNoFantasy DraftNoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Noah PhilpSan Diego Gulls (ANA)C291998-08-31CANNo198 Lbs191 CMNoNoTrade2025-09-02NoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nolan AllanSan Diego Gulls (ANA)D242003-04-28CANNo195 Lbs188 CMNoNoFantasy DraftNoNo32026-04-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Riley HeidtSan Diego Gulls (ANA)C222005-03-25CANYes178 Lbs178 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tomas HamaraSan Diego Gulls (ANA)D232004-03-09CZEYes185 Lbs183 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Trevor CarrickSan Diego Gulls (ANA)D331994-07-04CANNo171 Lbs188 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Vyacheslav ButeyetsSan Diego Gulls (ANA)G252002-05-29RUSNo220 Lbs193 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.50192 Lbs185 CM2.33978,125$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanJacob QuillanAustin Poganski40122
2Matthew HighmoreNoah PhilpFabian Lysell30122
3Eduard SaleAidan ThompsonJason Polin20122
4Austin PoganskiRiley HeidtDylan Wendt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan40122
2Trevor CarrickHunter Drew30122
3Chris HarpurMason Geertsen20122
4Mattias HavelidTomas Hamara10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanJacob QuillanAustin Poganski60122
2Matthew HighmoreNoah PhilpFabian Lysell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan60122
2Trevor CarrickHunter Drew40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Austin PoganskiJacob Quillan60122
2Noah PhilpJaret Anderson-Dolan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan60122
2Trevor CarrickHunter Drew40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Austin Poganski60122Drew HellesonNolan Allan60122
2Jacob Quillan40122Trevor CarrickHunter Drew40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin PoganskiJacob Quillan60122
2Noah PhilpJaret Anderson-Dolan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan60122
2Trevor CarrickHunter Drew40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaret Anderson-DolanJacob QuillanAustin PoganskiDrew HellesonNolan Allan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaret Anderson-DolanJacob QuillanAustin PoganskiDrew HellesonNolan Allan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jason Polin, Eduard Sale, Aidan ThompsonJason Polin, Eduard SaleAidan Thompson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Harpur, Mason Geertsen, Mattias HavelidChris HarpurMason Geertsen, Mattias Havelid
Tirs de pénalité
Austin Poganski, Jacob Quillan, Noah Philp, Jaret Anderson-Dolan, Matthew Highmore
Gardien
#1 : Hampton Slukynsky, #2 : Nikke Kokko
Lignes d’attaque personnalisées en prolongation
Austin Poganski, Jacob Quillan, Noah Philp, Jaret Anderson-Dolan, Matthew Highmore, Fabian Lysell, Jason Polin, Eduard Sale, Aidan Thompson, Riley Heidt
Lignes de défense personnalisées en prolongation
Drew Helleson, Nolan Allan, Trevor Carrick, Hunter Drew, Chris Harpur


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
1Bridgeport Islanders1010000023-1000000000001010000023-100.0002350013131204511512987151171731300.00%5180.00%017934751.59%17735050.57%8918348.63%2301562417513061
2Bruins11000000826110000008260000000000021.0008152300131312038115129871261482622100.00%40100.00%017934751.59%17735050.57%8918348.63%2301562417513061
3Calgary Wranglers20200000715-81010000024-210100000511-600.0007142100131312048115129871951930507342.86%14564.29%017934751.59%17735050.57%8918348.63%2301562417513061
4Charlotte Checkers1010000045-11010000045-10000000000000.000471100131312040115129871381915212150.00%5180.00%017934751.59%17735050.57%8918348.63%2301562417513061
5Condors1010000029-71010000029-70000000000000.0002460013131202711512987142202244125.00%110.00%017934751.59%17735050.57%8918348.63%2301562417513061
6Henderson Silver Knights1010000058-3000000000001010000058-300.000591400131312035115129871481421611100.00%10100.00%017934751.59%17735050.57%8918348.63%2301562417513061
7Moose1010000067-1000000000001010000067-100.00061117001313120321151298713213632200.00%3233.33%017934751.59%17735050.57%8918348.63%2301562417513061
8Utica Comets1000010034-1000000000001000010034-110.500369001313120371151298713344264125.00%110.00%017934751.59%17735050.57%8918348.63%2301562417513061
9Wolf Pack1010000013-2000000000001010000013-200.000123101313120301151298713881422300.00%5180.00%017934751.59%17735050.57%8918348.63%2301562417513061
Total1018001003856-18413000001620-4605001002236-1430.15038711091013131203321151298714031289824828932.14%391269.23%017934751.59%17735050.57%8918348.63%2301562417513061
_Since Last GM Reset1018001003856-18413000001620-4605001002236-1430.15038711091013131203321151298714031289824828932.14%391269.23%017934751.59%17735050.57%8918348.63%2301562417513061
_Vs Conference404000001531-1620200000413-9202000001118-700.000152944001313120107115129871169523810613430.77%18855.56%017934751.59%17735050.57%8918348.63%2301562417513061
_Vs Division403000001432-1820200000413-9201000001019-900.00014274100131312011011512987118553349012541.67%16662.50%017934751.59%17735050.57%8918348.63%2301562417513061

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
103OTL138711093324031289824810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101801003856
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001620
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
60501002236
Derniers 10 matchs
WLOTWOTL SOWSOL
180100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28932.14%391269.23%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
1151298711313120
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
17934751.59%17735050.57%8918348.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2301562417513061


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 - 2026-10-0218San Diego Gulls5Henderson Silver Knights8LSommaire du match
6 - 2026-10-0439Charlotte Checkers5San Diego Gulls4LSommaire du match
9 - 2026-10-0753Condors9San Diego Gulls2LSommaire du match
11 - 2026-10-0969San Diego Gulls6Moose7LSommaire du match
12 - 2026-10-1075San Diego Gulls5Calgary Wranglers11LSommaire du match
15 - 2026-10-1393Calgary Wranglers4San Diego Gulls2LSommaire du match
18 - 2026-10-16119Bruins2San Diego Gulls8WSommaire du match
21 - 2026-10-19138San Diego Gulls1Wolf Pack3LSommaire du match
22 - 2026-10-20150San Diego Gulls2Bridgeport Islanders3LSommaire du match
24 - 2026-10-22163San Diego Gulls3Utica Comets4LXSommaire du match
26 - 2026-10-24177San Diego Gulls-Phantoms-
29 - 2026-10-27189Abbotsford Canucks-San Diego Gulls-
31 - 2026-10-29208Rochester Americans-San Diego Gulls-
34 - 2026-11-01228Belleville Senators-San Diego Gulls-
36 - 2026-11-03242San Diego Gulls-Abbotsford Canucks-
38 - 2026-11-05261San Diego Gulls-Condors-
39 - 2026-11-06263San Diego Gulls-Calgary Wranglers-
41 - 2026-11-08279Penguins-San Diego Gulls-
44 - 2026-11-11297Admirals-San Diego Gulls-
47 - 2026-11-14315Bridgeport Islanders-San Diego Gulls-
48 - 2026-11-15328Calgary Wranglers-San Diego Gulls-
50 - 2026-11-17333San Diego Gulls-Thunderbirds-
52 - 2026-11-19357San Diego Gulls-Colorado Eagles-
53 - 2026-11-20367San Diego Gulls-Tucson Roadrunners-
55 - 2026-11-22384San Diego Gulls-Coachella Valley Firebirds-
57 - 2026-11-24386Barracuda-San Diego Gulls-
58 - 2026-11-25410Ontario Reign-San Diego Gulls-
59 - 2026-11-26418San Diego Gulls-Ontario Reign-
62 - 2026-11-29440Wild-San Diego Gulls-
65 - 2026-12-02463Coachella Valley Firebirds-San Diego Gulls-
67 - 2026-12-04479Moose-San Diego Gulls-
69 - 2026-12-06495San Diego Gulls-Belleville Senators-
71 - 2026-12-08508San Diego Gulls-Laval Rocket-
73 - 2026-12-10521San Diego Gulls-Rochester Americans-
74 - 2026-12-11529San Diego Gulls-Toronto Marlies-
77 - 2026-12-14550Abbotsford Canucks-San Diego Gulls-
79 - 2026-12-16565San Diego Gulls-Wild-
81 - 2026-12-18579San Diego Gulls-Condors-
83 - 2026-12-20599Henderson Silver Knights-San Diego Gulls-
85 - 2026-12-22612Colorado Eagles-San Diego Gulls-
87 - 2026-12-24636Toronto Marlies-San Diego Gulls-
90 - 2026-12-27653Utica Comets-San Diego Gulls-
92 - 2026-12-29673Phantoms-San Diego Gulls-
94 - 2026-12-31688Wild-San Diego Gulls-
97 - 2027-01-03708Texas Stars-San Diego Gulls-
99 - 2027-01-05724Bears-San Diego Gulls-
101 - 2027-01-07729Wolf Pack-San Diego Gulls-
103 - 2027-01-09752Thunderbirds-San Diego Gulls-
105 - 2027-01-11769San Diego Gulls-Moose-
108 - 2027-01-14787San Diego Gulls-Griffins-
110 - 2027-01-16805San Diego Gulls-Penguins-
112 - 2027-01-18816San Diego Gulls-Chicago Wolves-
113 - 2027-01-19826San Diego Gulls-Monsters-
115 - 2027-01-21845San Diego Gulls-Texas Stars-
117 - 2027-01-23852IceHogs-San Diego Gulls-
119 - 2027-01-25865Admirals-San Diego Gulls-
125 - 2027-01-31897Griffins-San Diego Gulls-
127 - 2027-02-02903IceHogs-San Diego Gulls-
129 - 2027-02-04912San Diego Gulls-Admirals-
131 - 2027-02-06929San Diego Gulls-Bruins-
132 - 2027-02-07942San Diego Gulls-Bears-
134 - 2027-02-09953San Diego Gulls-Syracruse Crunch-
136 - 2027-02-11972San Diego Gulls-Charlotte Checkers-
140 - 2027-02-15999Coachella Valley Firebirds-San Diego Gulls-
142 - 2027-02-171012San Diego Gulls-Henderson Silver Knights-
143 - 2027-02-181019Laval Rocket-San Diego Gulls-
145 - 2027-02-201038San Diego Gulls-Ontario Reign-
149 - 2027-02-241068Syracruse Crunch-San Diego Gulls-
151 - 2027-02-261082Monsters-San Diego Gulls-
154 - 2027-03-011105San Diego Gulls-Texas Stars-
157 - 2027-03-041122San Diego Gulls-Thunderbirds-
158 - 2027-03-051134San Diego Gulls-IceHogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160 - 2027-03-071153Chicago Wolves-San Diego Gulls-
162 - 2027-03-091165Tucson Roadrunners-San Diego Gulls-
164 - 2027-03-111174Henderson Silver Knights-San Diego Gulls-
166 - 2027-03-131193Barracuda-San Diego Gulls-
168 - 2027-03-151208San Diego Gulls-Barracuda-
169 - 2027-03-161211San Diego Gulls-Coachella Valley Firebirds-
171 - 2027-03-181232San Diego Gulls-Abbotsford Canucks-
174 - 2027-03-211249Colorado Eagles-San Diego Gulls-
176 - 2027-03-231270San Diego Gulls-Tucson Roadrunners-
178 - 2027-03-251284Condors-San Diego Gulls-
181 - 2027-03-281306Ontario Reign-San Diego Gulls-
185 - 2027-04-011330San Diego Gulls-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance7,5493,625
Assistance PCT94.36%90.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2794 - 93.12% 116,285$465,140$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
642,427$ 2,347,500$ 2,347,500$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 304,577$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,418,830$ 160 26,203$ 4,192,480$




San Diego 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

San Diego 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

San Diego 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

San Diego 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

San Diego 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