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San Diego Gulls
GP: 37 | W: 11 | L: 21 | OTL: 5 | P: 27
GF: 111 | GA: 131 | PP%: 25.18% | PK%: 78.08%
DG: Jimmy Fortin | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #597 vs Ontario Reign

Centre de jeu
Cleveland Monsters
23-9-4, 50pts
4
3 San Diego Gulls
11-21-5, 27pts
Team Stats
SOL1SéquenceL1
9-6-1Fiche domicile3-11-4
14-3-3Fiche domicile8-10-1
7-2-1Derniers 10 matchs1-6-3
3.44Buts par match 3.00
2.92Buts contre par match 3.54
20.00%Pourcentage en avantage numérique25.18%
82.22%Pourcentage en désavantage numérique78.08%
Coachella Valley Firebirds
17-17-1, 35pts
4
2 San Diego Gulls
11-21-5, 27pts
Team Stats
L1SéquenceL1
10-7-0Fiche domicile3-11-4
7-10-1Fiche domicile8-10-1
5-5-0Derniers 10 matchs1-6-3
3.26Buts par match 3.00
3.29Buts contre par match 3.54
17.24%Pourcentage en avantage numérique25.18%
80.24%Pourcentage en désavantage numérique78.08%
San Diego Gulls
11-21-5, 27pts
2025-12-27
Ontario Reign
12-22-2, 26pts
Statistiques d’équipe
L1SéquenceW2
3-11-4Fiche domicile7-9-0
8-10-1Fiche visiteur5-13-2
1-6-310 derniers matchs3-7-0
3.00Buts par match 2.75
3.54Buts contre par match 2.75
25.18%Pourcentage en avantage numérique17.83%
78.08%Pourcentage en désavantage numérique78.62%
San Jose Barracuda
20-14-3, 43pts
2025-12-29
San Diego Gulls
11-21-5, 27pts
Statistiques d’équipe
W3SéquenceL1
13-6-1Fiche domicile3-11-4
7-8-2Fiche visiteur8-10-1
5-5-010 derniers matchs1-6-3
3.16Buts par match 3.00
2.95Buts contre par match 3.00
19.18%Pourcentage en avantage numérique25.18%
78.62%Pourcentage en désavantage numérique78.08%
Syracruse Crunch
24-11-1, 49pts
2025-12-31
San Diego Gulls
11-21-5, 27pts
Statistiques d’équipe
L1SéquenceL1
12-6-1Fiche domicile3-11-4
12-5-0Fiche visiteur8-10-1
7-3-010 derniers matchs1-6-3
3.64Buts par match 3.00
3.08Buts contre par match 3.00
31.69%Pourcentage en avantage numérique25.18%
78.75%Pourcentage en désavantage numérique78.08%
Meneurs d'équipe
Angus CrookshankButs
Angus Crookshank
17
Spencer StastneyPasses
Spencer Stastney
26
Oskar BackPoints
Oskar Back
37
Max JonesPlus/Moins
Max Jones
4
Calle ClangVictoires
Calle Clang
7
Calle ClangPourcentage d’arrêts
Calle Clang
0.911

Statistiques d’équipe
Buts pour
111
3.00 GFG
Tirs pour
1139
30.78 Avg
Pourcentage en avantage numérique
25.2%
35 GF
Début de zone offensive
38.9%
Buts contre
131
3.54 GAA
Tirs contre
1264
34.16 Avg
Pourcentage en désavantage numérique
78.1%%
32 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralJimmy Fortin
EntraîneurRoy Sommer
DivisionPacific
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,638
Billets de saison1,200


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 250
Espoirs19


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
1Oskar Back0X100.007339956687788563726561696265670406602611,499,999$
2John Leonard0X100.00633790667293876461636562666869040650281925,000$
3Max Jones0X100.00815375638780826258636260656869040640281925,000$
4Max Sasson0X100.00643787637484856471656160636567040640252925,000$
5Raphael Lavoie0X100.007742736389878359645862576366670406302511,499,994$
6Angus Crookshank0X100.006638766469878562656163606466680406302611,499,995$
7Pavol Regenda0X100.00784272598886845661585762566668040620261925,000$
8Ben King0X100.00744182598375835864575960566365040620242925,000$
9Graeme Clarke0X100.006837845969918557605859565565640406102511,499,998$
10Josh Lopina0X100.00703989587966845761555659576466040610251925,000$
11Isaac Ratcliffe0X100.00834770569270745557545558566668040600272925,000$
12Ryder Korczak0X100.00583788586775815762565553546365040590232925,000$
13Kevin Korchinski0X100.00653986717486886930676564536266040660222925,000$
14Lian Bichsel0X100.00785665669982756530646767526165040660222925,000$
15Marc Del Gaizo0X100.006738846570858763306663645266680406502611,499,999$
16Victor Mancini (R)0X100.00774087668982726330656260506365040640243925,000$
17Spencer Stastney0X100.006136956471838163306563685065670406402611,499,999$
18Ian Moore (R)0X100.00713994638480616230646260516365040630243925,000$
19Jett Woo0X100.006643645675738455305957574665670406002611,499,999$
20Akito Hirose0X100.00643784576876725830565959486668040600272925,000$
Rayé
1Trevor Janicke (R)0X100.00563695546963615358525051556567040570253925,000$
2Tyson Hinds0X100.00724081578167875630555758466264040600232925,000$
MOYENNE D’ÉQUIPE100.0070418362798080604960606055656704063
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
1Calle Clang0100.0073837979727173727173726369040650241925,000$
2Dylan Ferguson (R)0100.0065736979646365646365646777040610273925,000$
Rayé
1Yaniv Perets (R)0100.0060726874595860595860596573040580263925,000$
2Vyacheslav Buteyets (R)0100.0057706688565557565557566369040560243925,000$
MOYENNE D’ÉQUIPE100.006475718063626463626463657204060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Roy Sommer76636266999642USA682300,000$


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
1Oskar BackSan Diego Gulls (ANA)C36132437-26036136127468510.24%1989824.95310132311002211424155.15%122400000.8202000422
2Spencer StastneySan Diego Gulls (ANA)D3752631-114021606215518.06%5571319.3041014421150001117000%000000.8700000001
3Max JonesSan Diego Gulls (ANA)LW37111930432012342102247510.78%782422.2929111711420251400241.79%6700010.7302000241
4Angus CrookshankSan Diego Gulls (ANA)LW37171229-111804050118458314.41%1071519.35581325111000001144.44%4500000.8101000020
5Marc Del GaizoSan Diego Gulls (ANA)D3762127218038537622517.89%5789524.22448411120001118000%000000.6000000002
6Victor ManciniSan Diego Gulls (ANA)D37101424-14440994381294412.35%4384422.826511451140000103100%000000.5700000001
7Ian MooreSan Diego Gulls (ANA)D37615210140903740193315.00%3070519.07358201150002110000%000000.6000000100
8Raphael LavoieSan Diego Gulls (ANA)RW3781119-7180129358232669.76%272519.6033614115000041040.68%5900000.5201000010
9Kevin KorchinskiSan Diego Gulls (ANA)D3731518-158030734617336.52%3670719.13123712000013100%000000.5100000002
10Ben KingSan Diego Gulls (ANA)C3751015-1016044407822386.41%563217.1027916970002611045.86%26600000.4702000110
11Max SassonSan Diego Gulls (ANA)C377815-98010669026567.78%654514.74000000002700152.36%57100100.5501000101
12John LeonardSan Diego Gulls (ANA)LW3368141208417424568.11%350115.2000023000020042.11%5700100.5601000001
13Graeme ClarkeSan Diego Gulls (ANA)RW374711-52019153692211.11%12787.5224618117000001045.67%12700000.7900000001
14Lian BichselSan Diego Gulls (ANA)D38189-28610114453024323.33%4666917.61011227011024000%000000.2700200000
15Ryder KorczakSan Diego Gulls (ANA)C36369-9007543082610.00%552414.5600000000030042.40%59900000.3400000011
16Pavol RegendaSan Diego Gulls (ANA)LW37358-821577334917386.12%946312.5400000000000038.46%3900000.3400001011
17Bo GroulxDucksC/LW5325-10011181681718.75%210721.45101316000081047.18%14200000.9300000101
18Akito HiroseSan Diego Gulls (ANA)D37101-54012530133.33%61072.9000012000031000%000000.1900000000
19Isaac RatcliffeSan Diego Gulls (ANA)LW37000-512018393100%11363.70000070001260066.67%120000000000000
20Jett WooSan Diego Gulls (ANA)D37000-4401835020%5731.980001900008000%00000000000000
21Josh LopinaSan Diego Gulls (ANA)C37000-1005112220%0711.94000180000270056.92%650000000000000
22Tim GettingerDucksLW8000000131250%0182.3100000000000047.62%210000000000000
23Tyson HindsSan Diego Gulls (ANA)D5000-100200130%0112.380000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne753112211323-1033271595286611573958299.68%3481117414.843668104278120923515101411549.82%329400210.58010201101215
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
1Calle ClangSan Diego Gulls (ANA)2371020.9113.28122520677510000.85771918210
2Dylan FergusonSan Diego Gulls (ANA)2041130.8813.64100720615120110.66731819010
Statistiques d’équipe totales ou en moyenne43112150.8993.442233401281263011103737220


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel 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
Akito HiroseSan Diego Gulls (ANA)D271999-04-09CANNo170 Lbs6 ft0NoNoProspectYesYes22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Angus CrookshankSan Diego Gulls (ANA)LW261999-10-02CANNo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,499,995$0$0$No---------------------------Lien / Lien NHL
Ben KingSan Diego Gulls (ANA)C242002-05-15CANNo200 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Calle ClangSan Diego Gulls (ANA)G242002-05-20SWENo194 Lbs6 ft2NoNoTrade2024-06-05NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Dylan FergusonSan Diego Gulls (ANA)G271998-09-20CANYes194 Lbs6 ft2NoNoDraftNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Graeme ClarkeSan Diego Gulls (ANA)RW252001-04-24CANNo175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,499,998$0$0$No---------------------------Lien / Lien NHL
Ian MooreSan Diego Gulls (ANA)D242002-01-04USAYes203 Lbs6 ft3NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Isaac RatcliffeSan Diego Gulls (ANA)LW271999-02-15CANNo200 Lbs6 ft6NoNoTrade2024-05-23YesYes22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jett WooSan Diego Gulls (ANA)D262000-07-27CANNo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
John LeonardSan Diego Gulls (ANA)LW281998-08-07USANo196 Lbs5 ft11NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Josh LopinaSan Diego Gulls (ANA)C252001-02-16USANo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Kevin KorchinskiSan Diego Gulls (ANA)D222004-06-21CANNo185 Lbs6 ft1NoNoTrade2025-10-16NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Lian BichselSan Diego Gulls (ANA)D222004-05-18CHENo231 Lbs6 ft7NoNoTrade2025-10-21NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Marc Del GaizoSan Diego Gulls (ANA)D261999-10-11USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Max JonesSan Diego Gulls (ANA)LW281998-02-17USANo216 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Max SassonSan Diego Gulls (ANA)C252000-09-05USANo181 Lbs6 ft1NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Oskar BackSan Diego Gulls (ANA)C262000-03-12SWENo202 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Pavol RegendaSan Diego Gulls (ANA)LW261999-12-07SVKNo211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Raphael LavoieSan Diego Gulls (ANA)RW252000-09-25CANNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,499,994$0$0$No---------------------------Lien / Lien NHL
Ryder KorczakSan Diego Gulls (ANA)C232002-09-23CANNo171 Lbs5 ft11NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Spencer StastneySan Diego Gulls (ANA)D262000-01-04USANo184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Trevor JanickeSan Diego Gulls (ANA)C252000-12-25USAYes193 Lbs5 ft10NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tyson HindsSan Diego Gulls (ANA)D232003-03-12CANNo188 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Victor ManciniSan Diego Gulls (ANA)D242002-05-26USAYes229 Lbs6 ft3NoNoTrade2025-08-23NoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Vyacheslav ButeyetsSan Diego Gulls (ANA)G242002-05-29RUSYes210 Lbs6 ft4NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Yaniv PeretsSan Diego Gulls (ANA)G262000-03-04CANYes181 Lbs6 ft1NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.15196 Lbs6 ft21.771,079,807$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesOskar BackJohn Leonard40122
2Angus CrookshankRyder KorczakRaphael Lavoie30122
3Pavol RegendaMax SassonBen King20122
4Isaac RatcliffeGraeme ClarkeOskar Back10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiVictor Mancini37122
2Lian BichselMarc Del Gaizo35122
3Spencer StastneyIan Moore18122
4Kevin KorchinskiMarc Del Gaizo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesOskar BackRaphael Lavoie60122
2Angus CrookshankBen KingGraeme Clarke40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoVictor Mancini60122
2Spencer StastneyIan Moore40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackMax Jones60122
2Ben KingMax Sasson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoVictor Mancini60122
2Spencer StastneyIan Moore40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Back60122Marc Del GaizoVictor Mancini60122
2Max Jones40122Spencer StastneyIan Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackMax Jones60122
2Ben KingMax Sasson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoVictor Mancini60122
2Spencer StastneyIan Moore40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesOskar BackRaphael LavoieMarc Del GaizoVictor Mancini
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesOskar BackRaphael LavoieMarc Del GaizoVictor Mancini
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Lopina, John Leonard, Angus CrookshankRaphael Lavoie, Ben KingOskar Back
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Korchinski, Victor Mancini, Marc Del GaizoJett WooSpencer Stastney, Akito Hirose
Tirs de pénalité
Oskar Back, Max Jones, Ben King, Max Sasson, Angus Crookshank
Gardien
#1 : Calle Clang, #2 : Dylan Ferguson
Lignes d’attaque personnalisées en prolongation
Oskar Back, Max Jones, Ben King, Max Sasson, Angus Crookshank, Raphael Lavoie, Pavol Regenda, Ryder Korczak, Josh Lopina, Graeme Clarke
Lignes de défense personnalisées en prolongation
Marc Del Gaizo, Victor Mancini, Spencer Stastney, Ian Moore, Akito Hirose


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
1Abbotsford Canucks11000000413110000004130000000000021.0004812003144360463594003612929610385240.00%5180.00%0645126251.11%667134849.48%31963550.24%880603879280476238
2Admirals1010000013-2000000000001010000013-200.000123003144360313594003612927912204125.00%6183.33%0645126251.11%667134849.48%31963550.24%880603879280476238
3Bears1000000134-11000000134-10000000000010.5003690031443603335940036129299631200.00%20100.00%0645126251.11%667134849.48%31963550.24%880603879280476238
4Belleville Senators11000000312110000003120000000000021.000369003144360283594003612915310226116.67%40100.00%0645126251.11%667134849.48%31963550.24%880603879280476238
5Bridgeport Islanders1000010012-1000000000001000010012-110.5001230031443603035940036129217217600.00%110.00%0645126251.11%667134849.48%31963550.24%880603879280476238
6Bruins21100000611-51010000029-71100000042220.500611170031443605935940036129761624556233.33%10460.00%0645126251.11%667134849.48%31963550.24%880603879280476238
7Charlotte Checkers2020000024-21010000001-11010000023-100.0002460031443604235940036129661914448225.00%6183.33%0645126251.11%667134849.48%31963550.24%880603879280476238
8Chicago Wolves1010000036-31010000036-30000000000000.000369003144360423594003612945713375120.00%3166.67%0645126251.11%667134849.48%31963550.24%880603879280476238
9Cleveland Monsters2010000179-21000000134-11010000045-110.25071219003144360613594003612977212049400.00%10190.00%0645126251.11%667134849.48%31963550.24%880603879280476238
10Coachella Valley Firebirds2110000067-11010000024-21100000043120.500610160031443607135940036129582210518225.00%5260.00%0645126251.11%667134849.48%31963550.24%880603879280476238
11Colorado Eagles11000000642000000000001100000064221.000611170031443603935940036129421215285480.00%5180.00%0645126251.11%667134849.48%31963550.24%880603879280476238
12Griffins2110000024-2110000002111010000003-320.500235003144360563594003612974242047700.00%10190.00%0645126251.11%667134849.48%31963550.24%880603879280476238
13Henderson Silver Knights20200000810-21010000045-11010000045-100.000814220031443605335940036129631416546350.00%8362.50%0645126251.11%667134849.48%31963550.24%880603879280476238
14IceHogs31200000912-31010000035-22110000067-120.33391726003144360963594003612911928227610330.00%10280.00%0645126251.11%667134849.48%31963550.24%880603879280476238
15Iowa Wild1010000026-4000000000001010000026-400.0002460031443603035940036129441310273133.33%50100.00%0645126251.11%667134849.48%31963550.24%880603879280476238
16Moose1010000045-11010000045-10000000000000.00048120031443603635940036129429428100.00%2150.00%0645126251.11%667134849.48%31963550.24%880603879280476238
17Ontario Reign1010000023-11010000023-10000000000000.000246003144360283594003612929810292150.00%5180.00%0645126251.11%667134849.48%31963550.24%880603879280476238
18San Jose Barracuda11000000734000000000001100000073421.00071118003144360333594003612939148294250.00%40100.00%2645126251.11%667134849.48%31963550.24%880603879280476238
19Syracruse Crunch11000000422000000000001100000042221.00047110031443602435940036129421812302150.00%6183.33%0645126251.11%667134849.48%31963550.24%880603879280476238
20Texas Stars211000008441010000023-11100000061520.500816240031443606735940036129651814434125.00%7185.71%0645126251.11%667134849.48%31963550.24%880603879280476238
21Thunderbirds1010000013-2000000000001010000013-200.000123003144360213594003612944101519400.00%5180.00%0645126251.11%667134849.48%31963550.24%880603879280476238
22Tucson Roadrunners2010010069-32010010069-30000000000010.2506111710314436058359400361297013204813430.77%10460.00%0645126251.11%667134849.48%31963550.24%880603879280476238
23Utica Comets2010010048-41000010034-11010000014-310.2504812003144360513594003612971211640400.00%8275.00%0645126251.11%667134849.48%31963550.24%880603879280476238
24Wilkes-Barre Penguins211000009631010000034-11100000062420.500917260031443607235940036129478104214214.29%5180.00%0645126251.11%667134849.48%31963550.24%880603879280476238
25Wolf Pack1010000034-1000000000001010000034-100.00036900314436032359400361293058236233.33%4175.00%0645126251.11%667134849.48%31963550.24%880603879280476238
Total37112100302111131-2018311002024969-20198100010062620270.36511120631710314436011393594003612912643343219271393525.18%1463278.08%2645126251.11%667134849.48%31963550.24%880603879280476238
_Since Last GM Reset37112100302111131-2018311002024969-20198100010062620270.36511120631710314436011393594003612912643343219271393525.18%1463278.08%2645126251.11%667134849.48%31963550.24%880603879280476238
_Vs Conference19612001006470-6917001002735-810550000037352130.3426411818210314436060935940036129671176166490692434.78%771876.62%2645126251.11%667134849.48%31963550.24%880603879280476238
_Vs Division7340000027243413000001213-1321000001511460.429274774003144360231359400361292186454201251040.00%27774.07%2645126251.11%667134849.48%31963550.24%880603879280476238

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3727L11112063171139126433432192710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3711210302111131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1831102024969
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1981001006262
Derniers 10 matchs
WLOTWOTL SOWSOL
160102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1393525.18%1463278.08%2
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
359400361293144360
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
645126251.11%667134849.48%31963550.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
880603879280476238


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
3 - 2025-10-0921San Diego Gulls4Coachella Valley Firebirds3WSommaire du match
5 - 2025-10-1136San Diego Gulls7San Jose Barracuda3WSommaire du match
8 - 2025-10-1456Wilkes-Barre Penguins4San Diego Gulls3LSommaire du match
10 - 2025-10-1670Chicago Wolves6San Diego Gulls3LSommaire du match
13 - 2025-10-1991San Diego Gulls5IceHogs4WSommaire du match
15 - 2025-10-21105San Diego Gulls1Admirals3LSommaire du match
17 - 2025-10-23111San Diego Gulls4Bruins2WSommaire du match
19 - 2025-10-25129San Diego Gulls4Syracruse Crunch2WSommaire du match
22 - 2025-10-28153San Diego Gulls2Charlotte Checkers3LSommaire du match
25 - 2025-10-31180Griffins1San Diego Gulls2WSommaire du match
27 - 2025-11-02197Utica Comets4San Diego Gulls3LXSommaire du match
29 - 2025-11-04211Charlotte Checkers1San Diego Gulls0LSommaire du match
31 - 2025-11-06224San Diego Gulls6Texas Stars1WSommaire du match
33 - 2025-11-08242San Diego Gulls4Henderson Silver Knights5LSommaire du match
34 - 2025-11-09251Moose5San Diego Gulls4LSommaire du match
36 - 2025-11-11262San Diego Gulls6Colorado Eagles4WSommaire du match
38 - 2025-11-13272San Diego Gulls0Griffins3LSommaire du match
40 - 2025-11-15284San Diego Gulls2Iowa Wild6LSommaire du match
42 - 2025-11-17306Tucson Roadrunners3San Diego Gulls2LXSommaire du match
44 - 2025-11-19318Bruins9San Diego Gulls2LSommaire du match
45 - 2025-11-20329Belleville Senators1San Diego Gulls3WSommaire du match
47 - 2025-11-22346Henderson Silver Knights5San Diego Gulls4LSommaire du match
51 - 2025-11-26374Abbotsford Canucks1San Diego Gulls4WSommaire du match
53 - 2025-11-28384Ontario Reign3San Diego Gulls2LSommaire du match
55 - 2025-11-30403San Diego Gulls1IceHogs3LSommaire du match
56 - 2025-12-01409San Diego Gulls1Thunderbirds3LSommaire du match
58 - 2025-12-03424Tucson Roadrunners6San Diego Gulls4LSommaire du match
60 - 2025-12-05440Bears4San Diego Gulls3LXXSommaire du match
62 - 2025-12-07460IceHogs5San Diego Gulls3LSommaire du match
64 - 2025-12-09470San Diego Gulls6Wilkes-Barre Penguins2WSommaire du match
66 - 2025-12-11482San Diego Gulls1Bridgeport Islanders2LXSommaire du match
68 - 2025-12-13495San Diego Gulls1Utica Comets4LSommaire du match
70 - 2025-12-15515San Diego Gulls3Wolf Pack4LSommaire du match
71 - 2025-12-16525San Diego Gulls4Cleveland Monsters5LSommaire du match
74 - 2025-12-19548Texas Stars3San Diego Gulls2LSommaire du match
75 - 2025-12-20560Cleveland Monsters4San Diego Gulls3LXXSommaire du match
77 - 2025-12-22573Coachella Valley Firebirds4San Diego Gulls2LSommaire du match
82 - 2025-12-27597San Diego Gulls-Ontario Reign-
84 - 2025-12-29615San Jose Barracuda-San Diego Gulls-
86 - 2025-12-31624Syracruse Crunch-San Diego Gulls-
88 - 2026-01-02643Iowa Wild-San Diego Gulls-
91 - 2026-01-05663San Diego Gulls-Bears-
92 - 2026-01-06670San Diego Gulls-Phantoms-
94 - 2026-01-08688San Diego Gulls-Chicago Wolves-
96 - 2026-01-10701San Diego Gulls-Rochester Americans-
99 - 2026-01-13734Texas Stars-San Diego Gulls-
102 - 2026-01-16753San Diego Gulls-Ontario Reign-
103 - 2026-01-17766Ontario Reign-San Diego Gulls-
105 - 2026-01-19779Wolf Pack-San Diego Gulls-
107 - 2026-01-21789San Diego Gulls-Colorado Eagles-
109 - 2026-01-23809San Diego Gulls-Coachella Valley Firebirds-
111 - 2026-01-25824San Diego Gulls-Calgary Wranglers-
112 - 2026-01-26829San Diego Gulls-Condors-
115 - 2026-01-29855San Diego Gulls-Abbotsford Canucks-
118 - 2026-02-01875Henderson Silver Knights-San Diego Gulls-
120 - 2026-02-03892Coachella Valley Firebirds-San Diego Gulls-
142 - 2026-02-25917Condors-San Diego Gulls-
144 - 2026-02-27933Moose-San Diego Gulls-
146 - 2026-03-01952Calgary Wranglers-San Diego Gulls-
148 - 2026-03-03968Colorado Eagles-San Diego Gulls-
149 - 2026-03-04973Bridgeport Islanders-San Diego Gulls-
151 - 2026-03-06987Laval Rocket-San Diego Gulls-
153 - 2026-03-081006Thunderbirds-San Diego Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101022San Diego Gulls-Moose-
157 - 2026-03-121029San Diego Gulls-Toronto Marlies-
159 - 2026-03-141043San Diego Gulls-Belleville Senators-
160 - 2026-03-151059San Diego Gulls-Laval Rocket-
163 - 2026-03-181082Phantoms-San Diego Gulls-
165 - 2026-03-201098San Diego Gulls-Tucson Roadrunners-
167 - 2026-03-221117Rochester Americans-San Diego Gulls-
169 - 2026-03-241134San Diego Gulls-Abbotsford Canucks-
171 - 2026-03-261147San Diego Gulls-Calgary Wranglers-
173 - 2026-03-281154San Diego Gulls-Condors-
175 - 2026-03-301176Toronto Marlies-San Diego Gulls-
177 - 2026-04-011190San Diego Gulls-San Jose Barracuda-
179 - 2026-04-031206Thunderbirds-San Diego Gulls-
180 - 2026-04-041219Calgary Wranglers-San Diego Gulls-
183 - 2026-04-071243Admirals-San Diego Gulls-
185 - 2026-04-091258San Jose Barracuda-San Diego Gulls-
188 - 2026-04-121280Abbotsford Canucks-San Diego Gulls-
190 - 2026-04-141296San Diego Gulls-Iowa Wild-
192 - 2026-04-161307San Diego Gulls-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4535
Assistance22,2877,200
Assistance PCT61.91%40.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-15 1638 - 54.61% 101,788$1,832,179$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,314,724$ 2,807,498$ 2,807,498$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,188,844$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,628,604$ 112 16,101$ 1,803,312$




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