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San Diego Gulls
GP: 37 | W: 18 | L: 16 | OTL: 3 | P: 39
GF: 137 | GA: 153 | PP%: 23.81% | PK%: 72.73%
DG: Kevin Deschamps | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #569 vs Belleville Senators

Centre de jeu
San Diego Gulls
18-16-3, 39pts
4
FINAL
8 San Jose Barracuda
20-13-2, 42pts
Team Stats
W1SéquenceW2
8-6-3Fiche domicile10-7-0
10-10-0Fiche domicile10-6-2
5-4-1Derniers 10 matchs8-2-0
3.70Buts par match 4.54
4.14Buts contre par match 4.29
23.81%Pourcentage en avantage numérique28.28%
72.73%Pourcentage en désavantage numérique73.12%
Abbotsford Canucks
9-21-5, 23pts
3
FINAL
7 San Diego Gulls
18-16-3, 39pts
Team Stats
L1SéquenceW1
5-8-4Fiche domicile8-6-3
4-13-1Fiche domicile10-10-0
3-6-1Derniers 10 matchs5-4-1
3.77Buts par match 3.70
4.60Buts contre par match 4.14
29.17%Pourcentage en avantage numérique23.81%
67.07%Pourcentage en désavantage numérique72.73%
Belleville Senators
11-17-4, 26pts
Jour 88
San Diego Gulls
18-16-3, 39pts
Statistiques d’équipe
W5SéquenceW1
7-9-2Fiche domicile8-6-3
4-8-2Fiche visiteur10-10-0
6-3-110 derniers matchs5-4-1
3.63Buts par match 3.70
4.44Buts contre par match 3.70
21.98%Pourcentage en avantage numérique23.81%
69.79%Pourcentage en désavantage numérique72.73%
San Diego Gulls
18-16-3, 39pts
Jour 92
Milwaukee Admirals
20-10-3, 43pts
Statistiques d’équipe
W1SéquenceW3
8-6-3Fiche domicile13-3-1
10-10-0Fiche visiteur7-7-2
5-4-110 derniers matchs7-2-1
3.70Buts par match 4.24
4.14Buts contre par match 4.24
23.81%Pourcentage en avantage numérique34.83%
72.73%Pourcentage en désavantage numérique75.73%
Chicago Wolves
11-16-7, 29pts
Jour 94
San Diego Gulls
18-16-3, 39pts
Statistiques d’équipe
L2SéquenceW1
5-7-5Fiche domicile8-6-3
6-9-2Fiche visiteur10-10-0
2-6-210 derniers matchs5-4-1
4.44Buts par match 3.70
4.68Buts contre par match 3.70
28.21%Pourcentage en avantage numérique23.81%
65.59%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Ryder RolstonButs
Ryder Rolston
21
Matthew RobertsonPasses
Matthew Robertson
27
Bogdan TrineyevPoints
Bogdan Trineyev
35
Bogdan TrineyevPlus/Moins
Bogdan Trineyev
6
Victoires
Filip Larsson
3
Michael DiPietroPourcentage d’arrêts
Michael DiPietro
0.898

Statistiques d’équipe
Buts pour
137
3.70 GFG
Tirs pour
1343
36.30 Avg
Pourcentage en avantage numérique
23.8%
20 GF
Début de zone offensive
39.6%
Buts contre
153
4.14 GAA
Tirs contre
1363
36.84 Avg
Pourcentage en désavantage numérique
72.7%%
33 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralKevin Deschamps
EntraîneurRyan Getzlaf
DivisionPacific Division
ConférenceWestern Conference
CapitaineDylan McIlrath
Assistant #1Bradly Nadeau
Assistant #2Lucas Condotta


Informations de l’aréna

Capacité9,000
Assistance8,553
Billets de saison8,370


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 60
Espoirs5


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
1Tyler PitlickXX100.00674274687076766645646267658666050670342775,000$
2Ben JonesX99.00704874737173716655616064676053050650261775,000$
3Jack StudnickaXX100.00634571716775716753636063667054050650261775,000$
4Bogdan TrineyevX100.00664271656664636142545663615150050600231775,000$
5Bradly Nadeau (A)X100.00554264655858576343626353645050050600202918,333$
6Lucas Condotta (A)XX100.00634962626668676242615361595551050600281775,000$
7Ryder RolstonX100.00644173646664636242595759615150050600241895,000$
8Caedan BankierX100.00564268636563616258585752615050050590221867,500$
9Haydn FleuryX100.00634280728485786940666171677969050710292950,000$
10Tyler KlevenX100.007451767285787270406463746956500507002321,600,000$
11Dylan McIlrath (C)X99.00686759638377756440595766617871050670332800,000$
12Cole McWardX99.00634173676767636540615767635250050640241775,000$
13Matthew RobertsonX99.00614664656765646440625365615250050620242775,000$
14Topias VilenX100.00634271656563616240635367605050050620221836,667$
Rayé
1Oliver WahlstromX100.006959727484827869476464676973630506902500$
2Elliot DesnoyersX100.005842716662646361426053556051500505902300$
3Dylan AnhornX100.005542626261646260405855595952500505902600$
4Ryan SiedemX100.005940626262605855405453605751500505802400$
5Joey KeaneX100.005341646058595755405252565552500505602600$
MOYENNE D’ÉQUIPE99.7963456966696966634460576362595405063
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
1Michael DiPietro100.0074656965717274737371595450050650261812,500$
2Filip Larsson100.0065606060626365626463525450050580271775,000$
Rayé
1Ben Gaudreau100.00625757616059595660595650500505502200$
MOYENNE D’ÉQUIPE100.006761626264656664666456535005059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Getzlaf1111111CAN4051$


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
1Bogdan TrineyevSan Diego Gulls (ANA)RW3710253564801015277164312.99%5566117.8700000000001040.00%1500001.0600000412
2Ryder RolstonSan Diego Gulls (ANA)RW37211435314071781484010714.19%1960316.32000210000171356.14%5700001.1612000563
3Ben JonesSan Diego Gulls (ANA)C37171633-82206688155418210.97%1271919.4433622500004743154.39%99100010.9212000431
4Matthew RobertsonSan Diego Gulls (ANA)D3742731-116092598728494.60%7578921.352793476000090000%000000.7800000034
5Cole McWardSan Diego Gulls (ANA)D37121426-9220475586286713.95%5382922.42448395800007921100.00%100000.6312000121
6Dylan McIlrathSan Diego Gulls (ANA)D3742226-11400103608422624.76%5984722.911783363000077000%100000.6100000100
7Lucas CondottaSan Diego Gulls (ANA)C/LW37121325-8140734291325813.19%361816.7222416520000112255.56%6300000.8100000222
8Tyler PitlickSan Diego Gulls (ANA)C/RW663922014152621923.08%414123.51022480000121148.51%13400011.2800000110
9Caedan BankierSan Diego Gulls (ANA)C110662201455550%917215.72000010000100040.00%500000.6900000002
10Jack StudnickaSan Diego Gulls (ANA)C/RW22131001033766.67%13919.76101140000500100.00%100001.5200000002
11Topias VilenSan Diego Gulls (ANA)D8033240117111110%916220.33011413000016000%000000.3700000000
Statistiques d’équipe totales ou en moyenne28688144232-21184059346177321851011.38%299558619.53132639155331000439710853.71%126800020.8336000181817
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
1Filip LarssonSan Diego Gulls (ANA)63300.8963.80363002322101100612001
2Michael DiPietroSan Diego Gulls (ANA)63300.8983.1835801191860000060100
Statistiques d’équipe totales ou en moyenne126600.8973.49722014240701101212101


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 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
Ben GaudreauSan Diego Gulls (ANA)G222003-11-01CANNo174 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Ben JonesSan Diego Gulls (ANA)C261999-02-26CANNo187 Lbs6 ft0NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$407,203$0$0$No---------------------------Lien NHL
Bogdan TrineyevSan Diego Gulls (ANA)RW232002-03-04RUSNo198 Lbs6 ft3NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$407,203$0$0$No---------------------------Lien NHL
Bradly NadeauSan Diego Gulls (ANA)LW202005-05-05CANNo172 Lbs5 ft11NoNoTrade2025-11-03NoNo22025-05-26FalseFalsePro & Farm918,333$482,514$0$0$No918,333$--------918,333$--------No--------Lien NHL
Caedan BankierSan Diego Gulls (ANA)C222003-01-26CANNo190 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm867,500$455,805$0$0$No---------------------------Lien NHL
Cole McWardSan Diego Gulls (ANA)D242001-06-09USANo205 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$407,203$0$0$No---------------------------Lien NHL
Dylan AnhornSan Diego Gulls (ANA)D261999-01-21CANNo183 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Dylan McIlrathSan Diego Gulls (ANA)D331992-04-20CANNo240 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm800,000$420,339$0$0$No800,000$--------800,000$--------No--------Lien NHL
Elliot DesnoyersSan Diego Gulls (ANA)LW232002-01-21CANNo183 Lbs5 ft11NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Filip LarssonSan Diego Gulls (ANA)G271998-08-17SWENo194 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$407,203$0$0$No---------------------------
Haydn FleurySan Diego Gulls (ANA)D291996-07-08CANNo207 Lbs6 ft4NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm950,000$499,153$0$0$No950,000$--------950,000$--------No--------Lien NHL
Jack StudnickaSan Diego Gulls (ANA)C/RW261999-02-18CANNo172 Lbs6 ft1NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm775,000$407,203$0$0$No---------------------------Lien NHL
Joey KeaneSan Diego Gulls (ANA)D261999-07-02USANo185 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Lucas CondottaSan Diego Gulls (ANA)C/LW281997-11-06CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm775,000$407,203$0$0$No---------------------------Lien NHL
Matthew RobertsonSan Diego Gulls (ANA)D242001-03-09CANNo201 Lbs6 ft4NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm775,000$407,203$0$0$No775,000$--------775,000$--------No--------Lien NHL
Michael DiPietroSan Diego Gulls (ANA)G261999-06-09CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm812,500$426,907$0$0$No---------------------------Lien NHL
Oliver WahlstromSan Diego Gulls (ANA)RW252000-06-13USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Ryan SiedemSan Diego Gulls (ANA)D242001-02-25USANo190 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Ryder RolstonSan Diego Gulls (ANA)RW242001-10-31USANo201 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm895,000$470,254$0$0$No---------------------------Lien NHL
Topias VilenSan Diego Gulls (ANA)D222003-04-01FINNo194 Lbs6 ft1NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm836,667$439,605$0$0$No---------------------------Lien NHL
Tyler KlevenSan Diego Gulls (ANA)D232002-01-10USANo221 Lbs6 ft5NoNoTrade2025-09-04NoNo22025-06-29FalseFalsePro & Farm1,600,000$840,678$0$0$No1,600,000$--------1,600,000$--------No--------Lien NHL
Tyler PitlickSan Diego Gulls (ANA)C/RW341991-11-01USANo201 Lbs6 ft2NoNoFantasy DraftNoNo22025-07-02FalseFalsePro & Farm775,000$407,203$0$0$No775,000$--------775,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.32196 Lbs6 ft21.00630,909$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
2Lucas CondottaBen Jones30122
3Ryder Rolston25122
4Bogdan Trineyev15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathCole McWard30122
2Matthew Robertson30122
3Bogdan Trineyev25122
4Dylan McIlrathCole McWard15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Lucas CondottaBen Jones50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathCole McWard50122
2Matthew Robertson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Ben Jones50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathCole McWard50122
2Matthew Robertson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Dylan McIlrathCole McWard50122
250122Matthew Robertson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Ben Jones50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathCole McWard50122
2Matthew Robertson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan McIlrathCole McWard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan McIlrathCole McWard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ryder Rolston, , Ryder Rolston
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Matthew Robertson, Dylan McIlrathMatthew Robertson, Dylan McIlrath
Tirs de pénalité
, , Ben Jones, ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Ben Jones, , , , , Ryder Rolston, Lucas Condotta, Bogdan Trineyev
Lignes de défense personnalisées en prolongation
Dylan McIlrath, Cole McWard, , Matthew Robertson,


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 Canucks422000001213-12110000078-12110000055040.5001223350052394161434484514282211039341006116.67%17382.35%0644129049.92%676131751.33%33264851.23%914647861254466235
2Calgary Wranglers30300000617-1120200000312-91010000035-200.000611170052394169244845142822121272877500.00%12466.67%0644129049.92%676131751.33%33264851.23%914647861254466235
3Charlotte Checkers1010000056-1000000000001010000056-100.00059140052394164344845142822531762722100.00%20100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
4Chicago Wolves10001000651000000000001000100065121.0006111700523941653448451428223754293133.33%10100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
5Coachella Valley Firebirds404000001122-1120200000510-520200000612-600.000112031105239416150448451428221445628971417.14%12558.33%0644129049.92%676131751.33%33264851.23%914647861254466235
6Colorado Eagles22000000725000000000002200000072541.00071421015239416384484514282251188384125.00%30100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
7Grand Rapids Griffins1010000002-2000000000001010000002-200.000000005239416244484514282248171015100.00%50100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
8Hartford Wolf Pack11000000321110000003210000000000021.000369005239416494484514282224108193133.33%4250.00%0644129049.92%676131751.33%33264851.23%914647861254466235
9Henderson Silver Knights21001000972100010005411100000043141.00091726005239416594484514282273171839100.00%10280.00%0644129049.92%676131751.33%33264851.23%914647861254466235
10Hershey Bears11000000431000000000001100000043121.0004711005239416314484514282249126182150.00%30100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
11Iowa Wild20200000913-41010000058-31010000045-100.000916250052394166844845142822692014536233.33%7271.43%0644129049.92%676131751.33%33264851.23%914647861254466235
12Laval Rocket10000010651000000000001000001065121.0006915005239416464484514282253152223133.33%10100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
13Lehigh Valley Phantoms1000010056-11000010056-10000000000010.500561100523941641448451428223812219000%10100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
14Milwaukee Admirals10001000541100010005410000000000021.0005712005239416484484514282235134263133.33%20100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
15Ontario Reign21000100880210001008800000000000030.7508162400523941676448451428221082710523133.33%4250.00%0644129049.92%676131751.33%33264851.23%914647861254466235
16Providence Bruins11000000532110000005320000000000021.000591400523941636448451428222798253266.67%4250.00%0644129049.92%676131751.33%33264851.23%914647861254466235
17Rockford IceHogs11000000422110000004220000000000021.000471100523941661448451428223154264125.00%20100.00%0644129049.92%676131751.33%33264851.23%914647861254466235
18San Jose Barracuda302001001016-61000010056-120200000510-510.167101727005239416114448451428221113322699222.22%11463.64%0644129049.92%676131751.33%33264851.23%914647861254466235
19Springfield Thunderbirds10000010431000000000001000001043121.0004610005239416354484514282230410253133.33%4175.00%0644129049.92%676131751.33%33264851.23%914647861254466235
20Texas Stars2200000011740000000000022000000117441.000112233005239416704484514282290222262400.00%11372.73%0644129049.92%676131751.33%33264851.23%914647861254466235
21Toronto Marlies1010000025-3000000000001010000025-300.00024600523941636448451428223188125120.00%4250.00%0644129049.92%676131751.33%33264851.23%914647861254466235
22Tucson Roadrunners11000000523110000005230000000000021.00059140052394163044845142822307228000%110.00%0644129049.92%676131751.33%33264851.23%914647861254466235
Total37131603320137153-161766023006575-1020710010207278-6390.5271372463831152394161343448451428221363393258878842023.81%1213372.73%0644129049.92%676131751.33%33264851.23%914647861254466235
_Since Last GM Reset37131603320137153-161766023006575-1020710010207278-6390.5271372463831152394161343448451428221363393258878842023.81%1213372.73%0644129049.92%676131751.33%33264851.23%914647861254466235
_Vs Conference28101303200103118-151446022005264-121467010005154-3280.5001031902931152394161002448451428221010289198696621117.74%932672.04%0644129049.92%676131751.33%33264851.23%914647861254466235
_Vs Division18411012005683-271025012003348-15826000002335-12120.333561041601052394166344484514282266719914043438513.16%662069.70%0644129049.92%676131751.33%33264851.23%914647861254466235

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3739W11372463831343136339325887811
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3713163320137153
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
176623006575
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2071010207278
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
842023.81%1213372.73%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
448451428225239416
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
644129049.92%676131751.33%33264851.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
914647861254466235


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
17San Diego Gulls3Colorado Eagles0WSommaire du match
320San Diego Gulls3Calgary Wranglers5LSommaire du match
424San Diego Gulls4Iowa Wild5LSommaire du match
635Tucson Roadrunners2San Diego Gulls5WSommaire du match
952San Diego Gulls4Colorado Eagles2WSommaire du match
1163Calgary Wranglers5San Diego Gulls2LSommaire du match
1590Coachella Valley Firebirds4San Diego Gulls2LSommaire du match
18110San Diego Gulls3Abbotsford Canucks2WSommaire du match
19119Milwaukee Admirals4San Diego Gulls5WXSommaire du match
22140San Diego Gulls3Coachella Valley Firebirds6LSommaire du match
24152Abbotsford Canucks5San Diego Gulls0LSommaire du match
26169San Diego Gulls4Texas Stars3WSommaire du match
28181Ontario Reign5San Diego Gulls4LXSommaire du match
30195San Diego Gulls4Henderson Silver Knights3WSommaire du match
32213San Diego Gulls1San Jose Barracuda2LSommaire du match
34224Rockford IceHogs2San Diego Gulls4WSommaire du match
36239San Diego Gulls2Toronto Marlies5LSommaire du match
38253Hartford Wolf Pack2San Diego Gulls3WSommaire du match
41273San Diego Gulls0Grand Rapids Griffins2LSommaire du match
42285Lehigh Valley Phantoms6San Diego Gulls5LXSommaire du match
45304San Diego Gulls5Charlotte Checkers6LSommaire du match
47315Henderson Silver Knights4San Diego Gulls5WXSommaire du match
49329San Diego Gulls3Coachella Valley Firebirds6LSommaire du match
52345San Diego Gulls4Springfield Thunderbirds3WXXSommaire du match
53353Ontario Reign3San Diego Gulls4WSommaire du match
56368San Diego Gulls4Hershey Bears3WSommaire du match
58383Coachella Valley Firebirds6San Diego Gulls3LSommaire du match
61403San Diego Gulls6Laval Rocket5WXXSommaire du match
63415San Jose Barracuda6San Diego Gulls5LXSommaire du match
66432San Diego Gulls2Abbotsford Canucks3LSommaire du match
68446Providence Bruins3San Diego Gulls5WSommaire du match
71466San Diego Gulls6Chicago Wolves5WXSommaire du match
73478Iowa Wild8San Diego Gulls5LSommaire du match
78506Calgary Wranglers7San Diego Gulls1LSommaire du match
80522San Diego Gulls7Texas Stars4WSommaire du match
82535San Diego Gulls4San Jose Barracuda8LSommaire du match
84542Abbotsford Canucks3San Diego Gulls7WSommaire du match
88569Belleville Senators-San Diego Gulls-
92595San Diego Gulls-Milwaukee Admirals-
94603Chicago Wolves-San Diego Gulls-
96620San Diego Gulls-Henderson Silver Knights-
98632Tucson Roadrunners-San Diego Gulls-
103661Bakersfield Condors-San Diego Gulls-
106683San Diego Gulls-Wilkes-Barre Penguins-
107691Manitoba Moose-San Diego Gulls-
111720Colorado Eagles-San Diego Gulls-
114738San Diego Gulls-Manitoba Moose-
116749San Diego Gulls-Iowa Wild-
117757Bridgeport Islanders-San Diego Gulls-
121783San Diego Gulls-Iowa Wild-
122790Rockford IceHogs-San Diego Gulls-
127820Rochester Americans-San Diego Gulls-
129832San Diego Gulls-Tucson Roadrunners-
132852Manitoba Moose-San Diego Gulls-
135877Henderson Silver Knights-San Diego Gulls-
136884San Diego Gulls-Ontario Reign-
141911Utica Comets-San Diego Gulls-
145937Bakersfield Condors-San Diego Gulls-
147949San Diego Gulls-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150968San Jose Barracuda-San Diego Gulls-
152981San Diego Gulls-Rockford IceHogs-
154990San Diego Gulls-Ontario Reign-
1561006Texas Stars-San Diego Gulls-
1571014San Diego Gulls-Bakersfield Condors-
1621041Milwaukee Admirals-San Diego Gulls-
1631047San Diego Gulls-Colorado Eagles-
1661064Chicago Wolves-San Diego Gulls-
1681080San Diego Gulls-Bakersfield Condors-
1701086San Diego Gulls-Calgary Wranglers-
1751112Syracuse Crunch-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance96,78048,624
Assistance PCT94.88%95.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
18 8553 - 95.04% 427,384$7,265,520$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
638,976$ 1,388,000$ 1,388,000$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 636,526$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,692,904$ 93 7,842$ 729,306$




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