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San Diego Gulls
GP: 56 | W: 22 | L: 28 | OTL: 6 | P: 50
GF: 173 | GA: 196 | PP%: 24.39% | PK%: 78.05%
DG: Jimmy Fortin | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #917 vs Condors

Centre de jeu
Henderson Silver Knights
25-28-4, 54pts
2
3 San Diego Gulls
22-28-6, 50pts
Team Stats
L3SéquenceW2
16-11-2Fiche domicile8-14-4
9-17-2Fiche domicile14-14-2
3-7-0Derniers 10 matchs7-3-0
3.04Buts par match 3.09
3.35Buts contre par match 3.50
24.74%Pourcentage en avantage numérique24.39%
81.65%Pourcentage en désavantage numérique78.05%
Coachella Valley Firebirds
21-30-5, 47pts
2
3 San Diego Gulls
22-28-6, 50pts
Team Stats
L4SéquenceW2
14-12-2Fiche domicile8-14-4
7-18-3Fiche domicile14-14-2
1-7-2Derniers 10 matchs7-3-0
3.00Buts par match 3.09
3.55Buts contre par match 3.50
16.06%Pourcentage en avantage numérique24.39%
80.00%Pourcentage en désavantage numérique78.05%
Condors
10-45-3, 23pts
2026-02-25
San Diego Gulls
22-28-6, 50pts
Statistiques d’équipe
L1SéquenceW2
5-22-2Fiche domicile8-14-4
5-23-1Fiche visiteur14-14-2
2-8-010 derniers matchs7-3-0
2.62Buts par match 3.09
4.86Buts contre par match 3.09
13.72%Pourcentage en avantage numérique24.39%
68.94%Pourcentage en désavantage numérique78.05%
Moose
33-21-2, 68pts
2026-02-27
San Diego Gulls
22-28-6, 50pts
Statistiques d’équipe
L1SéquenceW2
17-10-1Fiche domicile8-14-4
16-11-1Fiche visiteur14-14-2
7-3-010 derniers matchs7-3-0
3.95Buts par match 3.09
3.32Buts contre par match 3.09
21.90%Pourcentage en avantage numérique24.39%
77.44%Pourcentage en désavantage numérique78.05%
Calgary Wranglers
34-16-6, 74pts
2026-03-01
San Diego Gulls
22-28-6, 50pts
Statistiques d’équipe
W2SéquenceW2
17-9-3Fiche domicile8-14-4
17-7-3Fiche visiteur14-14-2
5-5-010 derniers matchs7-3-0
4.02Buts par match 3.09
2.88Buts contre par match 3.09
30.19%Pourcentage en avantage numérique24.39%
84.76%Pourcentage en désavantage numérique78.05%
Meneurs d'équipe
Angus CrookshankButs
Angus Crookshank
23
Spencer StastneyPasses
Spencer Stastney
41
Oskar BackPoints
Oskar Back
49
Max JonesPlus/Moins
Max Jones
7
Calle ClangVictoires
Calle Clang
18
Calle ClangPourcentage d’arrêts
Calle Clang
0.904

Statistiques d’équipe
Buts pour
173
3.09 GFG
Tirs pour
1764
31.50 Avg
Pourcentage en avantage numérique
24.4%
50 GF
Début de zone offensive
39.5%
Buts contre
196
3.50 GAA
Tirs contre
1856
33.14 Avg
Pourcentage en désavantage numérique
78.0%%
45 GA
Début de la zone défensive
40.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,641
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$
11Ryder Korczak0X100.00583788586775815762565553546365040590232925,000$
12Trevor Janicke (R)0X100.00563695546963615358525051556567040570253925,000$
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$
19Akito Hirose0X100.00643784576876725830565959486668040600272925,000$
20Tyson Hinds0X100.00724081578167875630555758466264040600232925,000$
Rayé
1Isaac Ratcliffe0X100.00834770569270745557545558566668040600272925,000$
2Jett Woo0X100.006643645675738455305957574665670406002611,499,999$
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)C54173249-412051200196601368.67%25133724.78313163716702221945154.54%181700000.7303000822
2Spencer StastneySan Diego Gulls (ANA)D5684149518033789723698.25%71102718.3461218571550001149000%000000.9500000023
3Angus CrookshankSan Diego Gulls (ANA)LW56232245-1024060771675813213.77%14103918.568132142151000003141.10%7300000.8701000131
4Max JonesSan Diego Gulls (ANA)LW562123447400181641563911013.46%10123222.0049133217120261893342.39%9200020.7104000452
5Marc Del GaizoSan Diego Gulls (ANA)D56932410295568511431777.89%91133323.815712611660112162110%000000.6100001114
6Ian MooreSan Diego Gulls (ANA)D5610223262801315465275115.38%46102718.346713341550002146010%000000.6200000200
7Victor ManciniSan Diego Gulls (ANA)D56111930-145801446511540609.57%65126822.666814681680110148100%000000.4700000002
8Raphael LavoieSan Diego Gulls (ANA)RW56141630-641518751120538811.67%6110419.72448211730000132050.00%10400000.5402001120
9John LeonardSan Diego Gulls (ANA)LW52121426-2401866144411048.33%1085316.410227210001281147.57%10300100.6101000012
10Ben KingSan Diego Gulls (ANA)C56101525-15220686510428649.62%793316.6731013191371013781048.28%43500000.5413000110
11Max SassonSan Diego Gulls (ANA)C5691524-111001810013437916.72%885715.310007150003970151.03%91900100.5601000101
12Kevin KorchinskiSan Diego Gulls (ANA)D5641923-23200511127332545.48%55108819.452241731000034100%000000.4200000012
13Lian BichselSan Diego Gulls (ANA)D5641721-1111315159666833545.88%6499617.790111546011040020%000000.4200300003
14Graeme ClarkeSan Diego Gulls (ANA)RW5651217-54031225716318.77%14488.01371030173000001043.46%19100000.7600000001
15Ryder KorczakSan Diego Gulls (ANA)C555914-92015785310349.43%778014.2000000000031043.47%86500000.3600000021
16Pavol RegendaSan Diego Gulls (ANA)LW566713-15255118487424568.11%1067812.1200000000000142.59%5400000.3800001031
17Bo GroulxDucksC/LW5325-10011181681718.75%210721.45101316000081047.18%14200000.9300000101
18Akito HiroseSan Diego Gulls (ANA)D56112-78016642425.00%61612.8900012000039000%000000.2500000000
19Josh LopinaSan Diego Gulls (ANA)C56011-2008134480%01322.37000190001380057.48%12700000.1500000000
20Trevor JanickeSan Diego Gulls (ANA)C6101-1001360116.67%1518.500000000000010%300000.3900000000
21Isaac RatcliffeSan Diego Gulls (ANA)LW51000-712028394110%11913.75000090001360070.59%170000000000000
22Jett WooSan Diego Gulls (ANA)D51000-4401845020%5751.4900011000008000%00000000000000
23Tim GettingerDucksLW8000000131250%0182.3100000000000047.62%210000000000000
24Tyson HindsSan Diego Gulls (ANA)D11000-300900230%3393.580000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1133173319492-1324743014131281178257412629.71%5081678514.8151951464531782358221419211350.05%496300220.59115303202326
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)42181730.9043.3422316012412910000.750123818210
2Dylan FergusonSan Diego Gulls (ANA)2441130.8793.55115020685640110.66731838010
Statistiques d’équipe totales ou en moyenne66222860.8963.413381801921855011155656220


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
1John LeonardOskar BackRaphael Lavoie40122
2Max JonesMax SassonGraeme Clarke30122
3Angus CrookshankBen KingTrevor Janicke20122
4Pavol RegendaJosh LopinaRyder Korczak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiLian Bichsel37122
2Marc Del GaizoVictor Mancini35122
3Spencer StastneyIan Moore18122
4Akito HiroseTyson Hinds10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardOskar BackRaphael Lavoie60122
2Max JonesMax SassonGraeme Clarke40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiLian Bichsel60122
2Marc Del GaizoVictor Mancini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackJohn Leonard60122
2Max SassonMax Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiLian Bichsel60122
2Marc Del GaizoVictor Mancini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Back60122Kevin KorchinskiLian Bichsel60122
2Max Sasson40122Marc Del GaizoVictor Mancini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackJohn Leonard60122
2Max SassonMax Jones40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiLian Bichsel60122
2Marc Del GaizoVictor Mancini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardOskar BackRaphael LavoieKevin KorchinskiLian Bichsel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardOskar BackRaphael LavoieKevin KorchinskiLian Bichsel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Raphael Lavoie, Angus Crookshank, Pavol RegendaRaphael Lavoie, Angus CrookshankRaphael Lavoie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ian Moore, Akito Hirose, Tyson HindsIan MooreIan Moore, Akito Hirose
Tirs de pénalité
Oskar Back, John Leonard, Max Jones, Max Sasson, Raphael Lavoie
Gardien
#1 : Calle Clang, #2 : Dylan Ferguson
Lignes d’attaque personnalisées en prolongation
Oskar Back, John Leonard, Max Jones, Max Sasson, Raphael Lavoie, Angus Crookshank, Pavol Regenda, Ben King, Graeme Clarke, Josh Lopina
Lignes de défense personnalisées en prolongation
Kevin Korchinski, Lian Bichsel, Marc Del Gaizo, Victor Mancini, Spencer Stastney


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 Canucks2110000049-5110000004131010000008-820.500481200516852291576622540416216206510220.00%9455.56%0992193651.24%985199249.45%49797251.13%13539281305419726366
2Admirals1010000013-2000000000001010000013-200.000123005168522315766225404127912204125.00%6183.33%0992193651.24%985199249.45%49797251.13%13539281305419726366
3Bears2010000158-31000000134-11010000024-210.250510150051685227057662254041491410581119.09%40100.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
4Belleville Senators11000000312110000003120000000000021.000369005168522285766225404115310226116.67%40100.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
5Bridgeport Islanders1000010012-1000000000001000010012-110.5001230051685223057662254041217217600.00%110.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
6Bruins21100000611-51010000029-71100000042220.500611170051685225957662254041761624556233.33%10460.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
7Calgary Wranglers1010000016-5000000000001010000016-500.00012300516852224576622540413912419300.00%2150.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
8Charlotte Checkers2020000024-21010000001-11010000023-100.0002460051685224257662254041661914448225.00%6183.33%0992193651.24%985199249.45%49797251.13%13539281305419726366
9Chicago Wolves2110000078-11010000036-31100000042220.500713200051685228057662254041711317688225.00%4175.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
10Cleveland Monsters2010000179-21000000134-11010000045-110.25071219005168522615766225404177212049400.00%10190.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
11Coachella Valley Firebirds42100010121112110000056-12100001075260.7501220320051685221375766225404112739288613430.77%14378.57%1992193651.24%985199249.45%49797251.13%13539281305419726366
12Colorado Eagles21100000871000000000002110000087120.500814220051685226557662254041821519527571.43%7185.71%0992193651.24%985199249.45%49797251.13%13539281305419726366
13Condors11000000743000000000001100000074321.00071320005168522515766225404133121425300.00%7185.71%0992193651.24%985199249.45%49797251.13%13539281305419726366
14Griffins2110000024-2110000002111010000003-320.500235005168522565766225404174242047700.00%10190.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
15Henderson Silver Knights312000001112-1211000007701010000045-120.3331119300051685228157662254041882128779444.44%13469.23%0992193651.24%985199249.45%49797251.13%13539281305419726366
16IceHogs31200000912-31010000035-22110000067-120.33391726005168522965766225404111928227610330.00%10280.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
17Iowa Wild2110000079-2110000005321010000026-420.500714210051685225557662254041771818518337.50%90100.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
18Moose1010000045-11010000045-10000000000000.00048120051685223657662254041429428100.00%2150.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
19Ontario Reign421000011495211000008442100000165150.6251424380051685221275766225404111024281149222.22%12283.33%0992193651.24%985199249.45%49797251.13%13539281305419726366
20Phantoms11000000633000000000001100000063321.0006111700516852244576622540412356218337.50%2150.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
21Rochester Americans11000000431000000000001100000043121.0004610005168522395766225404129172328200.00%20100.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
22San Jose Barracuda211000009811010000025-31100000073420.500914230051685225657662254041833214508337.50%7185.71%2992193651.24%985199249.45%49797251.13%13539281305419726366
23Syracruse Crunch211000007611010000034-11100000042220.500713200051685224357662254041802818515360.00%8187.50%0992193651.24%985199249.45%49797251.13%13539281305419726366
24Texas Stars312000009902020000038-51100000061520.3339172600516852210257662254041902518715120.00%9277.78%0992193651.24%985199249.45%49797251.13%13539281305419726366
25Thunderbirds1010000013-2000000000001010000013-200.000123005168522215766225404144101519400.00%5180.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
26Tucson Roadrunners2010010069-32010010069-30000000000010.2506111710516852258576622540417013204813430.77%10460.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
27Utica Comets2010010048-41000010034-11010000014-310.2504812005168522515766225404171211640400.00%8275.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
28Wilkes-Barre Penguins211000009631010000034-11100000062420.500917260051685227257662254041478104214214.29%5180.00%0992193651.24%985199249.45%49797251.13%13539281305419726366
29Wolf Pack20101000770100010004311010000034-120.500713200051685225857662254041641518459222.22%9366.67%0992193651.24%985199249.45%49797251.13%13539281305419726366
Total56202801313173196-2326714012027694-183013140011197102-5500.446173314487105168522176457662254041185649447213882055024.39%2054578.05%3992193651.24%985199249.45%49797251.13%13539281305419726366
_Since Last GM Reset56202801313173196-2326714012027694-183013140011197102-5500.446173314487105168522176457662254041185649447213882055024.39%2054578.05%3992193651.24%985199249.45%49797251.13%13539281305419726366
_Vs Conference32121700111103116-131559001004753-61778000115663-7280.43810318528810516852210315766225404110932832648011073229.91%1222877.05%3992193651.24%985199249.45%49797251.13%13539281305419726366
_Vs Division1787000115859-18440000026233943000113236-4190.5595810015800516852256757662254041542156136436551527.27%641675.00%3992193651.24%985199249.45%49797251.13%13539281305419726366

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5650W217331448717641856494472138810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5620281313173196
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2671412027694
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
301314011197102
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2055024.39%2054578.05%3
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
576622540415168522
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
992193651.24%985199249.45%49797251.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13539281305419726366


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 Gulls2Ontario Reign3LXXSommaire du match
84 - 2025-12-29615San Jose Barracuda5San Diego Gulls2LSommaire du match
86 - 2025-12-31624Syracruse Crunch4San Diego Gulls3LSommaire du match
88 - 2026-01-02643Iowa Wild3San Diego Gulls5WSommaire du match
91 - 2026-01-05663San Diego Gulls2Bears4LSommaire du match
92 - 2026-01-06670San Diego Gulls6Phantoms3WSommaire du match
94 - 2026-01-08688San Diego Gulls4Chicago Wolves2WSommaire du match
96 - 2026-01-10701San Diego Gulls4Rochester Americans3WSommaire du match
99 - 2026-01-13734Texas Stars5San Diego Gulls1LSommaire du match
102 - 2026-01-16753San Diego Gulls4Ontario Reign2WSommaire du match
103 - 2026-01-17766Ontario Reign1San Diego Gulls6WSommaire du match
105 - 2026-01-19779Wolf Pack3San Diego Gulls4WXSommaire du match
107 - 2026-01-21789San Diego Gulls2Colorado Eagles3LSommaire du match
109 - 2026-01-23809San Diego Gulls3Coachella Valley Firebirds2WXXSommaire du match
111 - 2026-01-25824San Diego Gulls1Calgary Wranglers6LSommaire du match
112 - 2026-01-26829San Diego Gulls7Condors4WSommaire du match
115 - 2026-01-29855San Diego Gulls0Abbotsford Canucks8LSommaire du match
118 - 2026-02-01875Henderson Silver Knights2San Diego Gulls3WSommaire du match
120 - 2026-02-03892Coachella Valley Firebirds2San Diego Gulls3WSommaire du match
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
Assistance32,25710,400
Assistance PCT62.03%40.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-23 1641 - 54.69% 101,951$2,650,727$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,280,784$ 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$ 2,061,664$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,529,266$ 52 16,101$ 837,252$




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