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San Diego Gulls
GP: 11 | W: 5 | L: 5 | OTL: 1 | P: 13
GF: 40 | GA: 43 | PP%: 38.10% | PK%: 64.06%
DG: Bruce | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #162 vs Cleveland Monsters

Centre de jeu
Iowa Heartlanders
4-6-1, 11pts
5
7 San Diego Gulls
5-5-1, 13pts
Team Stats
W1SéquenceL1
1-3-1Fiche domicile3-3-1
3-3-0Fiche domicile2-2-0
4-5-1Derniers 10 matchs4-5-1
3.00Buts par match 3.64
4.09Buts contre par match 3.91
21.28%Pourcentage en avantage numérique38.10%
78.69%Pourcentage en désavantage numérique64.06%
Pee Dee Pride
7-2-2, 22pts
3
1 San Diego Gulls
5-5-1, 13pts
Team Stats
W1SéquenceL1
2-2-2Fiche domicile3-3-1
5-0-0Fiche domicile2-2-0
6-2-2Derniers 10 matchs4-5-1
3.27Buts par match 3.64
2.73Buts contre par match 3.91
18.18%Pourcentage en avantage numérique38.10%
89.29%Pourcentage en désavantage numérique64.06%
San Diego Gulls
5-5-1, 13pts
Jour 26
Cleveland Monsters
5-3-3, 16pts
Statistiques d’équipe
L1SéquenceSOL1
3-3-1Fiche domicile2-1-1
2-2-0Fiche visiteur3-2-2
4-5-110 derniers matchs5-2-3
3.64Buts par match 3.45
3.91Buts contre par match 3.45
38.10%Pourcentage en avantage numérique26.19%
64.06%Pourcentage en désavantage numérique81.08%
San Diego Gulls
5-5-1, 13pts
Jour 28
Macon Whoopee
6-5-0, 15pts
Statistiques d’équipe
L1SéquenceL1
3-3-1Fiche domicile5-2-0
2-2-0Fiche visiteur1-3-0
4-5-110 derniers matchs5-5-0
3.64Buts par match 2.73
3.91Buts contre par match 2.73
38.10%Pourcentage en avantage numérique19.05%
64.06%Pourcentage en désavantage numérique75.00%
Rockford IceHogs
4-6-1, 13pts
Jour 31
San Diego Gulls
5-5-1, 13pts
Statistiques d’équipe
W4SéquenceL1
3-2-0Fiche domicile3-3-1
1-4-1Fiche visiteur2-2-0
4-6-010 derniers matchs4-5-1
2.55Buts par match 3.64
3.55Buts contre par match 3.64
19.51%Pourcentage en avantage numérique38.10%
60.53%Pourcentage en désavantage numérique64.06%
Meneurs d'équipe
Buts
Anton Slepyshev
10
Passes
Daniel Carr
13
Points
Daniel Carr
19
Plus/Moins
Josh Jooris
6
Victoires
Laurent Brossoit
3
Pourcentage d’arrêts
Laurent Brossoit
0.883

Statistiques d’équipe
Buts pour
40
3.64 GFG
Tirs pour
329
29.91 Avg
Pourcentage en avantage numérique
38.1%
16 GF
Début de zone offensive
36.6%
Buts contre
43
3.91 GAA
Tirs contre
338
30.73 Avg
Pourcentage en désavantage numérique
64.1%%
23 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralBruce
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,612
Billets de saison1,200


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 250
Espoirs21


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
1Anton Slepyshev0X100.0076557558858078686568676865807955406803121,800,000$
2Daniel Carr0X100.006342717765777467606969657281675540680332615,000$
3Josh Jooris0X99.0066447572757575647466677166826955406803411,559,000$
4Richard Panik0X100.0083487166748177676570686567827655406803411,115,000$
5Garnet Hathaway0X100.008851526377736965596667696580725540670332575,000$
6Jordan Weal0X100.006542737855797465647267636981655540670332575,000$
7Matt Puempel0X100.0062497068757574676468686768806755406703231,250,000$
8Nico Sturm0X100.0062497965827477656968666965797855406703031,575,000$
9Pontus Aberg0X100.0064447875607877665471685969776555406603121,555,000$
10Justin Dowling0X100.005840827260727260786461646386965540650341775,000$
11Kyle Rau0X100.007435808050686763736666656879615540650322655,000$
12Casey Fitzgerald0X100.009149678273768169507363696677685540720281550,000$
13Seth Helgeson0X100.008249636598767865506960705881715540700341550,000$
14Kevin Czuczman0X100.005547746683767867667061705981715540680341550,000$
15Michal Jordan0X100.0055487966847778645066606957828255406803411,115,000$
16Nick Cicek0X100.007255657575687762506559665970675540670251500,000$
17JOEY LALEGGIA0X100.005443818267606062487963566380895240660331500,000$
Rayé
1Kevin Roy0X100.005739788250777661606964666880615540660322575,000$
2VALTTERI OJANTAKANEN0X100.005233678167606062656171677067675240650241315,000$
3Jiri Smejkal0X100.006650755990687660646060695977715540640281575,000$
4KASPERI OJANTAKANEN0XS36038757163606057755957636175755240610301255,000$
5Jarred Tinordi0X100.0096586559997280655070595855847955406903311,000,000$
6Martin Marincin0X100.006156686396798264506859705781715540690332550,000$
7Petteri Lindbohm0X100.007952687085737863506660705980715540690313550,000$
8DAVID QUENNEVILLE0X83.155545818462606067487867636672825240670271500,000$
9ALEX PETERS0X100.005752676294606059486857765473735240660281280,000$
MOYENNE D’ÉQUIPE99.31674772717572736460686466637973544067
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
1Christopher Gibson0100.00796161807775767878757660605540720322650,000$
Rayé
1Laurent Brossoit095.007068718479808180808080816555407603212,500,000$
2NIKO HOVINEN0100.00606060877278787574787588695240730371280,000$
MOYENNE D’ÉQUIPE98.3370636484767878787778777665544074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Daniel CarrSan Diego Gulls (ANA)LW11613196180191539172715.38%822120.153698330002210020.00%4057001.7100000210
2Josh JoorisSan Diego Gulls (ANA)C117101769525263281621.88%823921.812574330001511045.23%32553001.4200010130
3Anton SlepyshevSan Diego Gulls (ANA)RW1110515527523183082033.33%319217.494371027101181065.00%2025001.5600001005
4Richard PanikSan Diego Gulls (ANA)RW935822018152151414.29%314315.95011116000041023.08%1361001.1100000002
5Casey FitzgeraldSan Diego Gulls (ANA)D11066-22552321241080%1824322.17022527000033000%0310000.4900001000
6Jordan WealSan Diego Gulls (ANA)RW11426-21152462241718.18%215013.65123151011161030.77%1354000.8000001110
7Seth HelgesonSan Diego Gulls (ANA)D11066-137152723104100%2328325.75022028011045000%017000.4200030000
8Josh LeivoAnaheim Mighty DucksLW1022402351613285177.14%416016.071012131012190030.00%1035000.5000001000
9Justin DowlingSan Diego Gulls (ANA)C11044-1201717175170%514913.62000000221170059.50%12123000.5300000000
10Kyle RauSan Diego Gulls (ANA)C11033-300105118100%412511.3802214000040045.88%8530000.4800000010
11DAVID QUENNEVILLESan Diego Gulls (ANA)D3022120566430%87525.1001107000014000%034000.5300000000
12JOEY LALEGGIASan Diego Gulls (ANA)D3022200722200%06120.480000700005000%030000.6500000000
13Martin MarincinSan Diego Gulls (ANA)D802251008115320%616320.41011117000024000%023000.2400000000
14Matt PuempelSan Diego Gulls (ANA)LW51120408894411.11%25711.4510114000010050.00%230000.7000000000
15Nick CicekSan Diego Gulls (ANA)D3022240642200%25719.2501103011011000%010000.6900000000
16Nico SturmSan Diego Gulls (ANA)LW11112-3402023214114.76%318116.46101150001330040.00%525000.2200000000
17Garnet HathawaySan Diego Gulls (ANA)RW11101-3175196105710.00%31069.7110114000030050.00%454000.1900001000
18Kevin CzuczmanSan Diego Gulls (ANA)D11011-430309179120%817315.7301102000026000%0410000.1200015000
19Kevin RoySan Diego Gulls (ANA)RW21011002121150.00%0157.57000000000000100.00%100001.3200000000
20Michal JordanSan Diego Gulls (ANA)D11011-2957198220%916214.7400000000016000%028000.1200001000
21Pontus AbergSan Diego Gulls (ANA)LW71010001263416.67%0344.940000000000100%110000.5800000000
22Ryan CarpenterAnaheim Mighty DucksC10011-100889320%110710.78011016000000061.22%4902000.1900000000
23KASPERI OJANTAKANENSan Diego Gulls (ANA)C10000155010020%11010.0000000000000041.67%120000000000000
Statistiques d’équipe totales ou en moyenne193376910682498530226732310819611.46%121311616.151428423626234793595047.08%7016181000.68000511467
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
1Laurent BrossoitSan Diego Gulls (ANA)83410.8833.334860027231112000083000
2Christopher GibsonSan Diego Gulls (ANA)21010.8724.56790064723100018000
3NIKO HOVINENSan Diego Gulls (ANA)20100.8634.24990075122000021000
Statistiques d’équipe totales ou en moyenne124520.8783.6066600403291571001112000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
ALEX PETERS (contrat à 1 volet)San Diego Gulls (ANA)D281996-07-02CANNo220 Lbs6 ft4NoNoFree AgentNoNo12025-11-01FalseFalseFarm Only280,000$244,255$0$0$No---------------------------Lien
Anton SlepyshevSan Diego Gulls (ANA)RW311994-05-13RUSNo221 Lbs6 ft2NoNoFree AgentNoNo22025-11-02FalseFalsePro & Farm1,800,000$1,570,213$0$0$No1,800,000$--------1,800,000$--------No--------
Casey FitzgeraldSan Diego Gulls (ANA)D281997-02-25USANo188 Lbs5 ft11NoNoTrade2026-02-19NoNo12025-09-30FalseFalsePro & Farm550,000$479,787$0$0$No---------------------------Lien
Christopher GibsonSan Diego Gulls (ANA)G321992-12-27FINNo188 Lbs6 ft1NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm650,000$567,021$0$0$No650,000$--------650,000$--------No--------
DAVID QUENNEVILLE (contrat à 1 volet)San Diego Gulls (ANA)D271998-03-13CANNo190 Lbs5 ft8NoNoFree AgentNoNo12026-02-11FalseFalseFarm Only500,000$436,170$0$0$No---------------------------Lien
Daniel CarrSan Diego Gulls (ANA)LW331991-11-01CANNo186 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm615,000$536,489$0$0$No615,000$--------615,000$--------No--------
Garnet HathawaySan Diego Gulls (ANA)RW331991-11-23USANo207 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm575,000$501,596$0$0$No575,000$--------575,000$--------No--------Lien
JOEY LALEGGIA (contrat à 1 volet)San Diego Gulls (ANA)D331992-06-24CANNo185 Lbs5 ft10NoNoFree AgentNoNo12026-02-11FalseFalseFarm Only500,000$436,170$0$0$No---------------------------Lien
Jarred Tinordi (contrat à 1 volet)San Diego Gulls (ANA)D331992-02-20USANo229 Lbs6 ft6NoNoTrade2026-02-10NoNo12025-09-30FalseFalsePro & Farm1,000,000$872,340$0$0$No---------------------------Lien
Jiri SmejkalSan Diego Gulls (ANA)LW281996-11-05CZENo223 Lbs6 ft4NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm575,000$501,596$0$0$No---------------------------Lien
Jordan WealSan Diego Gulls (ANA)RW331992-04-15CANNo181 Lbs5 ft10NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm575,000$501,596$0$0$No575,000$--------575,000$--------No--------Lien
Josh JoorisSan Diego Gulls (ANA)C341990-07-14CANNo197 Lbs6 ft1NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm1,559,000$1,359,979$0$0$No---------------------------
Justin DowlingSan Diego Gulls (ANA)C341990-10-01CANNo180 Lbs5 ft10NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm775,000$676,064$0$0$No---------------------------Lien
KASPERI OJANTAKANEN (contrat à 1 volet)San Diego Gulls (ANA)C301995-01-12FINNo174 Lbs5 ft11NoNoFree AgentNoNo12025-10-20FalseFalseFarm Only255,000$222,447$0$0$No---------------------------Lien
Kevin CzuczmanSan Diego Gulls (ANA)D341991-01-09CANNo206 Lbs6 ft3NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm550,000$479,787$0$0$No---------------------------
Kevin RoySan Diego Gulls (ANA)RW321993-05-20CANNo170 Lbs5 ft9NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm575,000$501,596$0$0$No575,000$--------575,000$--------No--------
Kyle RauSan Diego Gulls (ANA)C321992-10-24USANo171 Lbs5 ft9NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm655,000$571,383$0$0$No655,000$--------655,000$--------No--------
Laurent Brossoit (contrat à 1 volet)San Diego Gulls (ANA)G321993-03-23CANNo203 Lbs6 ft3NoNoTrade2026-02-01NoNo12025-09-30FalseFalsePro & Farm2,500,000$2,180,851$0$0$No---------------------------Lien
Martin MarincinSan Diego Gulls (ANA)D331992-02-18SVKNo217 Lbs6 ft5NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm550,000$479,787$0$0$No550,000$--------550,000$--------No--------
Matt PuempelSan Diego Gulls (ANA)LW321993-01-24CANNo201 Lbs6 ft1NoNoFree AgentNoNo32025-11-02FalseFalsePro & Farm1,250,000$1,090,426$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Michal JordanSan Diego Gulls (ANA)D341990-07-17CZENo207 Lbs6 ft1NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm1,115,000$972,660$0$0$No---------------------------Lien
NIKO HOVINEN (contrat à 1 volet)San Diego Gulls (ANA)G371988-03-16FINNo225 Lbs6 ft7NoNoFree AgentNoNo12025-11-01FalseFalseFarm Only280,000$244,255$0$0$No---------------------------Lien
Nick CicekSan Diego Gulls (ANA)D252000-05-29CANNo201 Lbs6 ft3NoNoTrade2026-02-10NoNo12025-10-20FalseFalsePro & Farm500,000$436,170$0$0$No---------------------------
Nico SturmSan Diego Gulls (ANA)LW301995-05-03DEUNo209 Lbs6 ft3NoNoFree AgentNoNo32025-11-01FalseFalsePro & Farm1,575,000$1,373,936$0$0$No1,575,000$1,575,000$-------1,575,000$1,575,000$-------NoNo-------Lien
Petteri LindbohmSan Diego Gulls (ANA)D311993-09-23FINNo198 Lbs6 ft3NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm550,000$479,787$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------Lien
Pontus AbergSan Diego Gulls (ANA)LW311993-09-23SWENo194 Lbs5 ft11NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm1,555,000$1,356,489$0$0$No1,555,000$--------1,555,000$--------No--------Lien
Richard PanikSan Diego Gulls (ANA)RW341991-02-07SVKNo203 Lbs6 ft1NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm1,115,000$972,660$0$0$No---------------------------Lien
Seth HelgesonSan Diego Gulls (ANA)D341990-10-08USANo210 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm550,000$479,787$0$0$No---------------------------
VALTTERI OJANTAKANEN (contrat à 1 volet)San Diego Gulls (ANA)LW242000-09-16FINNo176 Lbs6 ft0NoNoFree AgentNoNo12025-10-17FalseFalseFarm Only315,000$274,787$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2931.45199 Lbs6 ft11.52822,207$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel CarrKyle RauRichard Panik28122
2Nico SturmJustin DowlingAnton Slepyshev28122
3Matt PuempelJordan Weal28122
4Pontus AbergJosh JoorisGarnet Hathaway16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth Helgeson40122
2JOEY LALEGGIAKevin Czuczman30122
3Nick CicekMichal Jordan30122
4Seth Helgeson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel CarrJosh JoorisAnton Slepyshev60122
2Matt PuempelJustin DowlingRichard Panik40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1JOEY LALEGGIA60122
2Nick CicekSeth Helgeson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josh JoorisNico Sturm60122
2Justin DowlingGarnet Hathaway40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth Helgeson60122
2Kevin CzuczmanNick Cicek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josh Jooris60122Seth Helgeson60122
2Justin Dowling40122Nick CicekKevin Czuczman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh JoorisDaniel Carr60122
2Justin DowlingRichard Panik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth Helgeson60122
2JOEY LALEGGIANick Cicek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel CarrJosh JoorisAnton SlepyshevSeth Helgeson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel CarrJosh JoorisAnton SlepyshevNick CicekSeth Helgeson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anton Slepyshev, Nico Sturm, Jordan WealAnton Slepyshev, Nico SturmJordan Weal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, JOEY LALEGGIA, Seth HelgesonKevin CzuczmanSeth Helgeson, Kevin Czuczman
Tirs de pénalité
Daniel Carr, Josh Jooris, Anton Slepyshev, Richard Panik, Pontus Aberg
Gardien
#1 : , #2 : Christopher Gibson
Lignes d’attaque personnalisées en prolongation
Daniel Carr, Josh Jooris, Anton Slepyshev, Richard Panik, Pontus Aberg, Matt Puempel, Nico Sturm, Jordan Weal, Garnet Hathaway, Kyle Rau
Lignes de défense personnalisées en prolongation
, Seth Helgeson, JOEY LALEGGIA, Nick Cicek, Kevin Czuczman


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 Canucks1010000013-2000000000001010000013-200.00012300101116322901261103341745302150.00%10370.00%011425544.71%11626643.61%10017656.82%22311823510920697
2Bloomington Bison1000010056-11000010056-10000000000010.33358130010111634390126110330518257457.14%4325.00%011425544.71%11626643.61%10017656.82%22311823510920697
3Bridgeport Islanders10001000541000000000001000100054120.667591400101116333901261103341333282150.00%4250.00%011425544.71%11626643.61%10017656.82%22311823510920697
4Coachella Valley Firebirds11000000651110000006510000000000031.0006101600101116331901261103371616245360.00%8450.00%111425544.71%11626643.61%10017656.82%22311823510920697
5Grand Rapids Griffins1010000023-11010000023-10000000000000.00023500101116335901261103341118223133.33%4175.00%011425544.71%11626643.61%10017656.82%22311823510920697
6Greenville Swamp Rabbits10001000321100010003210000000000020.6673690010111633990126110331102132100.00%3166.67%011425544.71%11626643.61%10017656.82%22311823510920697
7Henderson Silver Knights1010000035-2000000000001010000035-200.00035800101116321901261103291435264250.00%5180.00%011425544.71%11626643.61%10017656.82%22311823510920697
8Iowa Heartlanders11000000752110000007520000000000031.0007121900101116332901261103311030276233.33%10370.00%211425544.71%11626643.61%10017656.82%22311823510920697
9Milwaukee Admirals1010000034-11010000034-10000000000000.0003690010111632990126110324718334125.00%4175.00%011425544.71%11626643.61%10017656.82%22311823510920697
10Pee Dee Pride1010000013-21010000013-20000000000000.0001230010111632590126110337113432200.00%8275.00%011425544.71%11626643.61%10017656.82%22311823510920697
11Reading Royals10001000431000000000001000100043120.6674590010111631990126110317823296116.67%4250.00%011425544.71%11626643.61%10017656.82%22311823510920697
Total1125031004043-3723011002728-1402020001315-2130.3944068108001011163329901261103338122291308421638.10%642364.06%311425544.71%11626643.61%10017656.82%22311823510920697
_Since Last GM Reset1125031004043-3723011002728-1402020001315-2130.3944068108001011163329901261103338122291308421638.10%642364.06%311425544.71%11626643.61%10017656.82%22311823510920697
_Vs Conference815011002532-7513001001721-430201000811-360.25025416600101116322590126110324289207221331339.39%471763.83%111425544.71%11626643.61%10017656.82%22311823510920697
_Vs Division613011002226-4311001001415-130201000811-360.33322365800101116316590126110317167155167281242.86%351460.00%111425544.71%11626643.61%10017656.82%22311823510920697

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1113L1406810832933812229130800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
112531004043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
72311002728
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
40220001315
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
421638.10%642364.06%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
9012611031011163
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
11425544.71%11626643.61%10017656.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
22311823510920697


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
211Coachella Valley Firebirds5San Diego Gulls6WSommaire du match
428Grand Rapids Griffins3San Diego Gulls2LSommaire du match
637Bloomington Bison6San Diego Gulls5LXSommaire du match
853San Diego Gulls1Abbotsford Canucks3LSommaire du match
1069Milwaukee Admirals4San Diego Gulls3LSommaire du match
1283San Diego Gulls3Henderson Silver Knights5LSommaire du match
1495San Diego Gulls4Reading Royals3WXSommaire du match
15100San Diego Gulls5Bridgeport Islanders4WXSommaire du match
18124Greenville Swamp Rabbits2San Diego Gulls3WXSommaire du match
20133Iowa Heartlanders5San Diego Gulls7WSommaire du match
22144Pee Dee Pride3San Diego Gulls1LSommaire du match
26162San Diego Gulls-Cleveland Monsters-
28172San Diego Gulls-Macon Whoopee-
31185Rockford IceHogs-San Diego Gulls-
34200San Diego Gulls-Colorado Eagles-
37216San Diego Gulls-Bakersfield Condors-
40230Bakersfield Condors-San Diego Gulls-
44244Colorado Eagles-San Diego Gulls-
47259San Diego Gulls-Rockford IceHogs-
51278Macon Whoopee-San Diego Gulls-
54290Cleveland Monsters-San Diego Gulls-
57304San Diego Gulls-Pee Dee Pride-
59314San Diego Gulls-Utica Devils-
61323San Diego Gulls-Savannah Ghost Pirates-
63337Lehigh Valley Phantoms-San Diego Gulls-
65353San Diego Gulls-Laval Rocket-
68377Henderson Silver Knights-San Diego Gulls-
70391Milwaukee Admirals-San Diego Gulls-
72399Abbotsford Canucks-San Diego Gulls-
74414San Diego Gulls-Bloomington Bison-
75422Athens Rock Lobsters-San Diego Gulls-
78441Providence Bruins-San Diego Gulls-
80454San Diego Gulls-Orlando Solar Bears-
84475Rockford IceHogs-San Diego Gulls-
87486San Diego Gulls-Colorado Eagles-
89504San Diego Gulls-Bakersfield Condors-
92517Rochester Americans-San Diego Gulls-
93524San Diego Gulls-Rochester Americans-
95535San Diego Gulls-Greensboro Gargoyles-
98556Greensboro Gargoyles-San Diego Gulls-
100572Trois Rivieres Lions-San Diego Gulls-
102588San Diego Gulls-Wheeling Nailers-
104598San Diego Gulls-Grand Rapids Griffins-
107612San Diego Gulls-Coachella Valley Firebirds-
111627Reading Royals-San Diego Gulls-
113636Pee Dee Pride-San Diego Gulls-
117657Cleveland Monsters-San Diego Gulls-
119667San Diego Gulls-Macon Whoopee-
122680San Diego Gulls-Lehigh Valley Phantoms-
124698Savannah Ghost Pirates-San Diego Gulls-
126714Utica Devils-San Diego Gulls-
128724San Diego Gulls-Iowa Heartlanders-
129732San Diego Gulls-Greenville Swamp Rabbits-
131744Bridgeport Islanders-San Diego Gulls-
135769San Diego Gulls-Henderson Silver Knights-
137783San Diego Gulls-Milwaukee Admirals-
139795San Diego Gulls-Abbotsford Canucks-
141807Bloomington Bison-San Diego Gulls-
143813Laval Rocket-San Diego Gulls-
145828San Diego Gulls-Athens Rock Lobsters-
149852San Diego Gulls-Providence Bruins-
151863Orlando Solar Bears-San Diego Gulls-
153875San Diego Gulls-Trois Rivieres Lions-
156896Wheeling Nailers-San Diego Gulls-
158902San Diego Gulls-Rockford IceHogs-
160913Colorado Eagles-San Diego Gulls-
162931Bakersfield Condors-San Diego Gulls-
164943Macon Whoopee-San Diego Gulls-
166955San Diego Gulls-Cleveland Monsters-
168969San Diego Gulls-Pee Dee Pride-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171986Henderson Silver Knights-San Diego Gulls-
1731000San Diego Gulls-Milwaukee Admirals-
1751010Abbotsford Canucks-San Diego Gulls-
1771024San Diego Gulls-Bloomington Bison-
1801050San Diego Gulls-Grand Rapids Griffins-
1811064Grand Rapids Griffins-San Diego Gulls-
1831075Coachella Valley Firebirds-San Diego Gulls-
1841089San Diego Gulls-Coachella Valley Firebirds-
1861103San Diego Gulls-Reading Royals-
1871110Reading Royals-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance11,8546,432
Assistance PCT84.67%91.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2612 - 87.08% 62,604$438,226$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
269,764$ 1,821,400$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 269,764$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,065,923$ 164 9,688$ 1,588,832$




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