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San Diego Gulls
GP: 32 | W: 14 | L: 15 | OTL: 3 | P: 31
GF: 108 | GA: 120 | PP%: 24.35% | PK%: 77.88%
DG: Maxime Roux | Morale : 34 | Moyenne d’équipe : 62
Prochains matchs #515 vs Wolf Pack

Centre de jeu
San Diego Gulls
14-15-3, 31pts
3
4 Bridgeport Islanders
20-9-4, 44pts
Team Stats
W1SéquenceOTL1
7-6-2Fiche domicile11-5-2
7-9-1Fiche domicile9-4-2
5-3-2Derniers 10 matchs8-1-1
3.38Buts par match 3.70
3.75Buts contre par match 3.09
24.35%Pourcentage en avantage numérique24.43%
77.88%Pourcentage en désavantage numérique83.49%
San Diego Gulls
14-15-3, 31pts
9
3 Utica Comets
11-17-4, 26pts
Team Stats
W1SéquenceL4
7-6-2Fiche domicile6-9-1
7-9-1Fiche domicile5-8-3
5-3-2Derniers 10 matchs3-6-1
3.38Buts par match 3.75
3.75Buts contre par match 4.78
24.35%Pourcentage en avantage numérique22.86%
77.88%Pourcentage en désavantage numérique64.10%
San Diego Gulls
14-15-3, 31pts
2025-12-15
Wolf Pack
16-16-1, 33pts
Statistiques d’équipe
W1SéquenceL1
7-6-2Fiche domicile7-8-0
7-9-1Fiche visiteur9-8-1
5-3-210 derniers matchs5-4-1
3.38Buts par match 3.00
3.75Buts contre par match 3.00
24.35%Pourcentage en avantage numérique21.99%
77.88%Pourcentage en désavantage numérique81.51%
San Diego Gulls
14-15-3, 31pts
2025-12-16
Monsters
14-14-4, 32pts
Statistiques d’équipe
W1SéquenceW1
7-6-2Fiche domicile6-7-1
7-9-1Fiche visiteur8-7-3
5-3-210 derniers matchs4-4-2
3.38Buts par match 3.59
3.75Buts contre par match 3.59
24.35%Pourcentage en avantage numérique18.10%
77.88%Pourcentage en désavantage numérique67.27%
Texas Stars
14-14-5, 33pts
2025-12-19
San Diego Gulls
14-15-3, 31pts
Statistiques d’équipe
L1SéquenceW1
7-8-1Fiche domicile7-6-2
7-6-4Fiche visiteur7-9-1
3-4-310 derniers matchs5-3-2
3.36Buts par match 3.38
3.48Buts contre par match 3.38
19.05%Pourcentage en avantage numérique24.35%
77.61%Pourcentage en désavantage numérique77.88%
Meneurs d'équipe
Lane PedersonButs
Lane Pederson
14
Nolan AllanPasses
Nolan Allan
31
Nolan AllanPoints
Nolan Allan
35
Matthew PecaPlus/Moins
Matthew Peca
4
Nikke KokkoVictoires
Nikke Kokko
12
Filip LarssonPourcentage d’arrêts
Filip Larsson
0.952

Statistiques d’équipe
Buts pour
108
3.38 GFG
Tirs pour
1093
34.16 Avg
Pourcentage en avantage numérique
24.3%
28 GF
Début de zone offensive
41.1%
Buts contre
120
3.75 GAA
Tirs contre
1155
36.09 Avg
Pourcentage en désavantage numérique
77.9%%
25 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralMaxime Roux
EntraîneurAnders Sorensen
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,740
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 55
Espoirs10


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
1Zachary Sanford0X100.007673776588798463616662645973740246603131,000,000$
2Matthew Peca0X100.005836916568828364706766636572770246503331,000,000$
3Jakub Lauko0XX100.008256786776748263626160666365670396402631,000,000$
4Jaret Anderson-Dolan0XXX100.007537866472787763656162666365680486402631,000,000$
5Lane Pederson0XXX100.006441776373847562716362606168700456302931,000,000$
6Noah Philp0X100.007239866383857262656061636267690426302831,000,000$
7Juha Jaaska0X100.006740796476817358656363626167690426302831,000,000$
8Rutger McGroarty (R)0X100.00693983667888726462656062646163052630222950,000$
9Eduard Sale (R)0X100.006638926475796963576060586162650426202111,000,000$
10Carsen Twarynski0X100.007140785980787158555661595668700426102831,000,000$
11Hugh McGing0XX100.006438745964788358625961565867690426102831,000,000$
12Jason Polin0X100.006737885974767756645763585665680426102731,000,000$
13Milo Roelens0X100.008443735693666754575159585462640426002311,000,000$
14Louis Crevier0X100.008542896499848163306261685065660536602531,000,000$
15Drew Helleson0X100.007542746786848563306563665264650426502531,000,000$
16Nolan Allan0X100.007054736579828363306461664962640426402311,000,000$
17Trevor Carrick0X100.006640746275818658306761605071730416303231,000,000$
18Hunter Drew0X100.007053506179757759305760585167690406102731,000,000$
19Madison Bowey0X100.007243685581647054305657574670720246003131,000,000$
Rayé
1Dylan Wendt0X100.006737955976696257555860545964660416002531,000,000$
2Mason Geertsen0X100.008379535692717653515556595470720206003131,000,000$
3Chris Harpur0X100.007539815584646554305754564569710286002931,000,000$
4Nikita Novikov0X100.007441775883648555305758564662640226002311,000,000$
5Scott Walford0X100.007038955479626953305255554566680205902731,000,000$
MOYENNE D’ÉQUIPE100.0072447961807676595060606055666803762
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 Kokko (R)0100.0078777480777678777678776165018670223925,000$
2Filip Larsson0100.00747672797372747372747367770506502831,000,000$
Rayé
1Calle Clang0100.00738379797271737271737263690246402431,000,000$
2Vyacheslav Buteyets (R)0100.00577066885655575655575663690245602431,000,000$
MOYENNE D’ÉQUIPE100.007177738270697170697170647002963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen72737477767176SWE5032,500,000$


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
1Nolan AllanSan Diego Gulls (ANA)D3243135-226069546330366.35%5378124.432792891000084100%000000.9000000200
2Noah PhilpSan Diego Gulls (ANA)C32121628-522064103110378710.91%1068821.5143726990000102251.41%92200000.8100000034
3Jaret Anderson-DolanSan Diego Gulls (ANA)C/LW/RW28111627316059104104256810.58%1260821.7333616710002933248.62%83500000.8900000221
4Lane PedersonSan Diego Gulls (ANA)C/LW/RW32141226-6752970104195713.46%750315.7236924790003511152.97%53800001.0300100011
5Drew HellesonSan Diego Gulls (ANA)D3261925-82201014947315212.77%5981425.4627919910002870023.53%1700000.6100000202
6Jakub LaukoSan Diego Gulls (ANA)LW/RW3281624-73151167210439807.69%1566220.71369239600011032053.33%7500000.7200010231
7Juha JaaskaSan Diego Gulls (ANA)LW32101323-61405150100245410.00%1166920.9234719770000511161.22%4900000.6900000021
8Trevor CarrickSan Diego Gulls (ANA)D3031619-1012045395314315.66%4862820.9638113181000075110%000000.6000000011
9Eduard SaleSan Diego Gulls (ANA)LW3211617-400243583337113.25%355517.35000010000092146.88%3200000.6100000111
10Louis CrevierSan Diego Gulls (ANA)D145914-76038193591514.29%2330521.803471632000041000%000000.9200000101
11Hugh McGingSan Diego Gulls (ANA)C/LW325813-68029356620537.58%1161319.1600000000000046.81%4700000.4200000210
12Carsen TwarynskiSan Diego Gulls (ANA)LW322810-88034305921313.39%240112.55011050002410042.55%4700000.5000000000
13Jason PolinSan Diego Gulls (ANA)RW322810-1612028264011205.00%2949915.6200000000000040.91%4400000.4000000000
14Hunter DrewSan Diego Gulls (ANA)D322680461070321741511.76%2647014.7100006000013010%000000.3400011000
15Dylan WendtSan Diego Gulls (ANA)RW2833614051629122310.34%32007.1600000000000046.15%1300000.6000000001
16Rutger McGroartySan Diego Gulls (ANA)RW2214512072327193.13%0863.931342875000000028.57%700001.1600000000
17Matthew PecaSan Diego Gulls (ANA)C13144001551360.00%01818.0010131000001078.79%3300014.4400000100
18Chris HarpurSan Diego Gulls (ANA)D20134-71001910101310.00%1628514.2900000000016000%000000.2800000001
19Milo RoelensSan Diego Gulls (ANA)C323030160413422102013.64%183179.9100010000000051.11%18000000.1900000100
20Zachary SanfordSan Diego Gulls (ANA)LW12134002281625.00%01818.40000310001100100.00%100003.2600000010
21Madison BoweySan Diego Gulls (ANA)D1011400001000%01111.570000000000000%000001.7300000000
22Nikita NovikovSan Diego Gulls (ANA)D3011200841120%26020.320000900018000%000000.3300000000
Statistiques d’équipe totales ou en moyenne532108198306-732622084079110933507469.88%348920217.302852802378340001269114950.74%284000010.6700121141515
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
1Nikke KokkoSan Diego Gulls (ANA)32121430.8883.9616650011098600200320110
2Filip LarssonSan Diego Gulls (ANA)72100.9521.8525900816700000032000
Statistiques d’équipe totales ou en moyenne39141530.8983.68192400118115300203232110


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
Calle ClangSan Diego Gulls (ANA)G242002-05-20SWENo194 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Carsen TwarynskiSan Diego Gulls (ANA)LW281997-11-24CANNo198 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Chris HarpurSan Diego Gulls (ANA)D291996-09-13CANNo201 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Drew HellesonSan Diego Gulls (ANA)D252001-03-26USANo213 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dylan WendtSan Diego Gulls (ANA)RW252001-01-09USANo195 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Eduard SaleSan Diego Gulls (ANA)LW212005-03-10CZEYes174 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Filip LarssonSan Diego Gulls (ANA)G281998-08-17SWENo194 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Hugh McGingSan Diego Gulls (ANA)C/LW281998-07-11USANo176 Lbs173 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Hunter DrewSan Diego Gulls (ANA)D271998-10-21CANNo191 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jakub LaukoSan Diego Gulls (ANA)LW/RW262000-03-28CZENo193 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jaret Anderson-DolanSan Diego Gulls (ANA)C/LW/RW261999-09-12CANNo200 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jason PolinSan Diego Gulls (ANA)RW271999-06-17USANo198 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Juha JaaskaSan Diego Gulls (ANA)LW281998-02-09FINNo210 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Lane PedersonSan Diego Gulls (ANA)C/LW/RW291997-08-04CANNo192 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Louis CrevierSan Diego Gulls (ANA)D252001-05-04CANNo228 Lbs203 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Madison BoweySan Diego Gulls (ANA)D311995-04-22CANNo202 Lbs188 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Mason GeertsenSan Diego Gulls (ANA)D311995-04-19CANNo227 Lbs193 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matthew PecaSan Diego Gulls (ANA)C331993-04-27CANNo181 Lbs178 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Milo RoelensSan Diego Gulls (ANA)C232003-01-16CANNo205 Lbs198 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nikita NovikovSan Diego Gulls (ANA)D232003-07-25RUSNo196 Lbs191 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nikke KokkoSan Diego Gulls (ANA)G222004-03-14FINYes184 Lbs191 CMNoNoFantasy DraftNoNo32025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Noah PhilpSan Diego Gulls (ANA)C281998-08-31CANNo198 Lbs191 CMNoNoTrade2025-09-02NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nolan AllanSan Diego Gulls (ANA)D232003-04-28CANNo195 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Rutger McGroartySan Diego Gulls (ANA)RW222004-03-30USAYes203 Lbs185 CMNoNoFantasy DraftNoNo22025-08-17FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Scott WalfordSan Diego Gulls (ANA)D271999-01-12CANNo193 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Trevor CarrickSan Diego Gulls (ANA)D321994-07-04CANNo171 Lbs188 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Vyacheslav ButeyetsSan Diego Gulls (ANA)G242002-05-29RUSYes210 Lbs193 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Zachary SanfordSan Diego Gulls (ANA)LW311994-11-09USANo206 Lbs193 CMNoNoFantasy DraftYesYes32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.64197 Lbs188 CM2.68995,536$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordMatthew PecaJaret Anderson-Dolan40113
2Juha JaaskaNoah PhilpJakub Lauko40122
3Eduard SaleHugh McGingLane Pederson15122
4Carsen TwarynskiMilo RoelensJason Polin5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonLouis Crevier40122
2Nolan AllanTrevor Carrick30122
3Hunter DrewMadison Bowey20122
4Drew HellesonNolan Allan10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordMatthew PecaJaret Anderson-Dolan60122
2Lane PedersonNoah PhilpRutger McGroarty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan60122
2Louis CrevierTrevor Carrick40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-DolanJakub Lauko60122
2Lane PedersonJuha Jaaska40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan60122
2Louis CrevierTrevor Carrick40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jaret Anderson-Dolan60122Drew HellesonNolan Allan60122
2Lane Pederson40122Louis CrevierTrevor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SanfordJakub Lauko60122
2Noah PhilpJaret Anderson-Dolan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNolan Allan60122
2Louis CrevierTrevor Carrick40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub LaukoMatthew PecaRutger McGroartyDrew HellesonNolan Allan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub LaukoLane PedersonRutger McGroartyDrew HellesonLouis Crevier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jaret Anderson-Dolan, Jakub Lauko, Noah PhilpZachary Sanford, Eduard SaleCarsen Twarynski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Drew Helleson, Nolan Allan, Louis CrevierTrevor CarrickLouis Crevier, Hunter Drew
Tirs de pénalité
Zachary Sanford, Jakub Lauko, Matthew Peca, Noah Philp, Juha Jaaska
Gardien
#1 : Nikke Kokko, #2 : Filip Larsson
Lignes d’attaque personnalisées en prolongation
Zachary Sanford, Matthew Peca, Noah Philp, Jakub Lauko, Juha Jaaska, Lane Pederson, Carsen Twarynski, Eduard Sale, Hugh McGing, Jaret Anderson-Dolan
Lignes de défense personnalisées en prolongation
Drew Helleson, Nolan Allan, Louis Crevier, Trevor Carrick, Hunter Drew


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 Canucks11000000514110000005140000000000021.0005101500403234232370369348633102264250.00%10100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
2Admirals11000000321000000000001100000032121.0003690040323423037036934864098223133.33%40100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
3Barracuda1010000034-1000000000001010000034-100.000358104032342413703693486308626400.00%3233.33%0586118749.37%593117550.47%27252851.52%753513765234409205
4Bears11000000422110000004220000000000021.00048120040323423137036934862981020300.00%5260.00%0586118749.37%593117550.47%27252851.52%753513765234409205
5Belleville Senators11000000651110000006510000000000021.00061117004032342283703693486401312233133.33%6266.67%0586118749.37%593117550.47%27252851.52%753513765234409205
6Bridgeport Islanders1000010034-1000000000001000010034-110.5003580040323423537036934863811826200.00%3166.67%0586118749.37%593117550.47%27252851.52%753513765234409205
7Bruins2010010058-31000010034-11010000024-210.25059140040323425837036934866624104511218.18%50100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
8Charlotte Checkers211000008711010000034-11100000053220.50081321004032342553703693486643718657114.29%9188.89%0586118749.37%593117550.47%27252851.52%753513765234409205
9Chicago Wolves1010000046-21010000046-20000000000000.000481200403234235370369348650106234125.00%3166.67%0586118749.37%593117550.47%27252851.52%753513765234409205
10Coachella Valley Firebirds1010000027-5000000000001010000027-500.0002460040323423637036934865991730100.00%6266.67%0586118749.37%593117550.47%27252851.52%753513765234409205
11Colorado Eagles1010000027-5000000000001010000027-500.0002460040323422937036934864414916200.00%20100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
12Griffins21100000770110000004221010000035-220.5007132010403234272370369348669151251600.00%5180.00%0586118749.37%593117550.47%27252851.52%753513765234409205
13Henderson Silver Knights201010007701010000023-11000100054120.500712190040323426537036934867021125610440.00%60100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
14IceHogs312000001117-61010000037-421100000810-220.33311203100403234299370369348611337209211545.45%9455.56%0586118749.37%593117550.47%27252851.52%753513765234409205
15Moose1010000023-11010000023-10000000000000.00023500403234237370369348633910253133.33%50100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
16Ontario Reign1000010034-11000010034-10000000000010.5003580040323424537036934862754233133.33%20100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
17Penguins21100000660110000004131010000025-320.500612180040323428137036934866728104210220.00%5260.00%0586118749.37%593117550.47%27252851.52%753513765234409205
18Syracruse Crunch11000000321000000000001100000032121.000358004032342233703693486277122622100.00%50100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
19Texas Stars1010000014-3000000000001010000014-300.0001230040323422737036934863971434100.00%6266.67%0586118749.37%593117550.47%27252851.52%753513765234409205
20Thunderbirds1010000001-1000000000001010000001-100.00000000403234230370369348637101420600.00%50100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
21Tucson Roadrunners2110000067-12110000067-10000000000020.50061117004032342593703693486772819459222.22%7357.14%0586118749.37%593117550.47%27252851.52%753513765234409205
22Utica Comets210010001257100010003211100000093641.000122234004032342993703693486651720687342.86%10280.00%0586118749.37%593117550.47%27252851.52%753513765234409205
23Wild11000000541000000000001100000054121.000510150040323424637036934863813936300.00%10100.00%0586118749.37%593117550.47%27252851.52%753513765234409205
Total32121502300108120-12156601200525111769011005669-13310.4841081983062040323421093370369348611553502628401152824.35%1132577.88%0586118749.37%593117550.47%27252851.52%753513765234409205
_Since Last GM Reset32121502300108120-12156601200525111769011005669-13310.4841081983062040323421093370369348611553502628401152824.35%1132577.88%0586118749.37%593117550.47%27252851.52%753513765234409205
_Vs Conference17510011005068-18724001002125-41036010002943-14130.38250921421040323425763703693486640180144451601626.67%571377.19%0586118749.37%593117550.47%27252851.52%753513765234409205
_Vs Division613011002023-3311001001082302010001015-550.4172036561040323422193703693486219534116122731.82%18477.78%0586118749.37%593117550.47%27252851.52%753513765234409205

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3231W11081983061093115535026284020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3212152300108120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
156612005251
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
176911005669
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1152824.35%1132577.88%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
37036934864032342
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
586118749.37%593117550.47%27252851.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
753513765234409205


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 Gulls2Coachella Valley Firebirds7LSommaire du match
5 - 2025-10-1136San Diego Gulls3Barracuda4LSommaire du match
8 - 2025-10-1456Penguins1San Diego Gulls4WSommaire du match
10 - 2025-10-1670Chicago Wolves6San Diego Gulls4LSommaire du match
13 - 2025-10-1991San Diego Gulls2IceHogs6LSommaire du match
15 - 2025-10-21105San Diego Gulls3Admirals2WSommaire du match
17 - 2025-10-23111San Diego Gulls2Bruins4LSommaire du match
19 - 2025-10-25129San Diego Gulls3Syracruse Crunch2WSommaire du match
22 - 2025-10-28153San Diego Gulls5Charlotte Checkers3WSommaire du match
25 - 2025-10-31180Griffins2San Diego Gulls4WSommaire du match
27 - 2025-11-02197Utica Comets2San Diego Gulls3WXSommaire du match
29 - 2025-11-04211Charlotte Checkers4San Diego Gulls3LSommaire du match
31 - 2025-11-06224San Diego Gulls1Texas Stars4LSommaire du match
33 - 2025-11-08242San Diego Gulls5Henderson Silver Knights4WXSommaire du match
34 - 2025-11-09251Moose3San Diego Gulls2LSommaire du match
36 - 2025-11-11262San Diego Gulls2Colorado Eagles7LSommaire du match
38 - 2025-11-13272San Diego Gulls3Griffins5LSommaire du match
40 - 2025-11-15284San Diego Gulls5Wild4WSommaire du match
42 - 2025-11-17306Tucson Roadrunners4San Diego Gulls2LSommaire du match
44 - 2025-11-19318Bruins4San Diego Gulls3LXSommaire du match
45 - 2025-11-20329Belleville Senators5San Diego Gulls6WSommaire du match
47 - 2025-11-22346Henderson Silver Knights3San Diego Gulls2LSommaire du match
51 - 2025-11-26374Abbotsford Canucks1San Diego Gulls5WSommaire du match
53 - 2025-11-28384Ontario Reign4San Diego Gulls3LXSommaire du match
55 - 2025-11-30403San Diego Gulls6IceHogs4WSommaire du match
56 - 2025-12-01409San Diego Gulls0Thunderbirds1LSommaire du match
58 - 2025-12-03424Tucson Roadrunners3San Diego Gulls4WSommaire du match
60 - 2025-12-05440Bears2San Diego Gulls4WSommaire du match
62 - 2025-12-07460IceHogs7San Diego Gulls3LSommaire du match
64 - 2025-12-09470San Diego Gulls2Penguins5LSommaire du match
66 - 2025-12-11482San Diego Gulls3Bridgeport Islanders4LXSommaire du match
68 - 2025-12-13495San Diego Gulls9Utica Comets3WSommaire du match
70 - 2025-12-15515San Diego Gulls-Wolf Pack-
71 - 2025-12-16525San Diego Gulls-Monsters-
74 - 2025-12-19548Texas Stars-San Diego Gulls-
75 - 2025-12-20560Monsters-San Diego Gulls-
77 - 2025-12-22573Coachella Valley Firebirds-San Diego Gulls-
82 - 2025-12-27597San Diego Gulls-Ontario Reign-
84 - 2025-12-29615Barracuda-San Diego Gulls-
86 - 2025-12-31624Syracruse Crunch-San Diego Gulls-
88 - 2026-01-02643Wild-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-Barracuda-
179 - 2026-04-031206Thunderbirds-San Diego Gulls-
180 - 2026-04-041219Calgary Wranglers-San Diego Gulls-
183 - 2026-04-071243Admirals-San Diego Gulls-
185 - 2026-04-091258Barracuda-San Diego Gulls-
188 - 2026-04-121280Abbotsford Canucks-San Diego Gulls-
190 - 2026-04-141296San Diego Gulls-Wild-
192 - 2026-04-161307San Diego Gulls-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,32513,774
Assistance PCT91.08%91.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2740 - 91.33% 113,197$1,697,958$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,354,421$ 2,787,500$ 2,787,500$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,002,854$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,943,127$ 124 27,539$ 3,414,836$




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