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San Diego Gulls
GP: 21 | W: 11 | L: 10 | OTL: 0 | P: 22
GF: 69 | GA: 70 | PP%: 28.13% | PK%: 78.95%
DG: Patrik | Morale : 42 | Moyenne d’équipe : 59
Prochains matchs #354 vs Milwaukee Admirals
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Centre de jeu
San Jose Barracuda
12-8-1, 25pts
2
FINAL
0 San Diego Gulls
11-10-0, 22pts
Team Stats
W2SéquenceL2
6-3-1Fiche domicile8-3-0
6-5-0Fiche domicile3-7-0
4-5-1Derniers 10 matchs5-5-0
2.90Buts par match 3.29
2.43Buts contre par match 3.33
27.69%Pourcentage en avantage numérique28.13%
78.38%Pourcentage en désavantage numérique78.95%
San Diego Gulls
11-10-0, 22pts
2
FINAL
4 Henderson Silver Knights
10-10-1, 21pts
Team Stats
L2SéquenceW4
8-3-0Fiche domicile6-5-0
3-7-0Fiche domicile4-5-1
5-5-0Derniers 10 matchs6-4-0
3.29Buts par match 2.57
3.33Buts contre par match 2.95
28.13%Pourcentage en avantage numérique16.42%
78.95%Pourcentage en désavantage numérique81.33%
San Diego Gulls
11-10-0, 22pts
Jour 47
Milwaukee Admirals
10-6-4, 24pts
Statistiques d’équipe
L2SéquenceW2
8-3-0Fiche domicile10-0-1
3-7-0Fiche visiteur0-6-3
5-5-010 derniers matchs5-3-2
3.29Buts par match 3.70
3.33Buts contre par match 3.70
28.13%Pourcentage en avantage numérique25.76%
78.95%Pourcentage en désavantage numérique78.95%
Bakersfield Condors
8-10-3, 19pts
Jour 48
San Diego Gulls
11-10-0, 22pts
Statistiques d’équipe
W3SéquenceL2
4-5-1Fiche domicile8-3-0
4-5-2Fiche visiteur3-7-0
6-2-210 derniers matchs5-5-0
2.48Buts par match 3.29
3.05Buts contre par match 3.29
16.39%Pourcentage en avantage numérique28.13%
76.92%Pourcentage en désavantage numérique78.95%
Syracuse Crunch
10-8-3, 23pts
Jour 50
San Diego Gulls
11-10-0, 22pts
Statistiques d’équipe
W2SéquenceL2
5-4-1Fiche domicile8-3-0
5-4-2Fiche visiteur3-7-0
6-4-010 derniers matchs5-5-0
3.00Buts par match 3.29
2.81Buts contre par match 3.29
18.46%Pourcentage en avantage numérique28.13%
86.36%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Pavol RegendaButs
Pavol Regenda
12
Nikita NesterenkoPasses
Nikita Nesterenko
14
Pavol RegendaPoints
Pavol Regenda
24
Matt KesselPlus/Moins
Matt Kessel
6
Calle ClangVictoires
Calle Clang
4
Tomas SuchanekPourcentage d’arrêts
Tomas Suchanek
0.908

Statistiques d’équipe
Buts pour
69
3.29 GFG
Tirs pour
597
28.43 Avg
Pourcentage en avantage numérique
28.1%
18 GF
Début de zone offensive
40.7%
Buts contre
70
3.33 GAA
Tirs contre
562
26.76 Avg
Pourcentage en désavantage numérique
78.9%%
12 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralPatrik
EntraîneurAdam Foote
DivisionPacific Division
ConférenceWestern Conference
CapitaineUrho Vaakanainen
Assistant #1Kyle Marino
Assistant #2Pavol Regenda


Informations de l’aréna

Capacité3,000
Assistance2,498
Billets de saison0


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 70
Espoirs26


Historique d'équipe

Saison actuelle11-10-0 (22PTS)
Historique88-81-17 (0.473%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)5-12
Coupe Stanley0


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
1Pavol Regenda (A)XX99.007340797487847171556271667265550486902742,650,000$
2Brett LeasonXXX100.006644666471696767436558666355500386302742,100,000$
3Sasha Pastujov (R)XX98.006042727163666469456561616750500486302321,023,750$
4Judd CaulfieldXX100.00624175656869676443625960635350048620251892,500$
5Nathan Gaucher (R)XXX96.006644666669646264606059616350500476102311,400,000$
6Sam ColangeloXXX100.006142716268656365436457556152500486002521,700,000$
7Carey Terrance (R)XXX100.006044666564636160426060606050500486002131,100,000$
8Jan Mysak (R)XXX99.006043696861666463595855606252500486002411,155,000$
9Yegor Sidorov (R)XX100.00544367656364626442595850625050048590222975,000$
10Nico Myatovic (R)XXX100.006342716665656361425753606050500485902211,100,000$
11Ben King (R)XXX100.00614268596661585452515154555250048550241900,000$
12Urho Vaakanainen (C)X100.005740827381847669406053706880700166802742,150,000$
13Matt KesselX100.006140817386827169405457686965550206702611,400,000$
14Tristan Luneau (R)X99.006142717365666469405956696950500486402211,100,000$
15Tyson Hinds (R)X100.006342727163656363405246686351500486202321,023,750$
16Noah Warren (R)X100.006642716472636161404844665950500486002221,100,000$
17Kyle Marino (A)XXXX100.00616750567072716042474556566558048580313775,000$
Rayé
1Nikita NesterenkoXXX90.527040847484847169506963676965550376802521,400,000$
2Brayden TraceyXXX100.00555555555555555555555555555555020550252840,000$
3Coulson Pitre (R)XXX100.00594072656060575541515153575050020550222975,000$
4Josh LopinaXXX100.00604070596562595451505152555350020550251945,000$
5Connor Hvidston (R)XXX100.00555555555555555555555555555555020550221850,000$
6Jack Berglund (R)XXX100.00674160587254505451505156545050020550203975,000$
7Michael Callow (R)XX100.00555555555555555540555555555555020550223850,000$
8Jaxsen Wiebe (R)XXX100.00544060505951505040505050505150020510242840,000$
9Blake McLaughlinX100.00504060555253505040505050505350020510262840,000$
10Anthony Costantini (R)X100.00555555555555555540555555555555020550242840,000$
11Hakon Hanelt (R)XXXX100.00555555555555555540555555555555020550233775,000$
12Luka Profaca (R)X100.00555555555555555540555555555555020550242840,000$
MOYENNE D’ÉQUIPE99.3660456763666461614556555960555303559
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
1Spencer Martin99.50656869646562635963666865580406003112,150,000$
2Tomas Suchanek (R)97.0065585563626163596361555150038570232840,000$
Rayé
1Calle Clang (R)99.00726570657070736971716452500366402411,023,750$
2Damian Clara (R)100.00605555696157565060595050500225402121,100,000$
MOYENNE D’ÉQUIPE98.886662626565636459646459555203459
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Foote7975757981701CAN5431,000,000$


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
1Pavol RegendaSan Diego Gulls (ANA)LW/RW21121224260392984244914.29%642320.19461019500001411160.53%3800001.1300000410
2Nikita NesterenkoSan Diego Gulls (ANA)C/LW/RW2171421300213066194210.61%540719.42281013470001401044.44%1800001.0300000120
3Sasha PastujovSan Diego Gulls (ANA)LW/RW219918540193969175313.04%136817.5731413480001121257.78%4500010.9800000202
4Matt KesselSan Diego Gulls (ANA)D21610166120211435111317.14%2544221.081451348000040300%000000.7200000110
5Tyson HindsSan Diego Gulls (ANA)D2131114160422122111813.64%2743220.621341147000037000%000000.6500000001
6Jan MysakSan Diego Gulls (ANA)C/LW/RW21112132802540338303.03%039318.740335470001460058.08%48900000.6600000111
7Nathan GaucherSan Diego Gulls (ANA)C/LW/RW214913112029413482311.76%541119.6234711480000361154.65%53800000.6300000000
8Urho VaakanainenSan Diego Gulls (ANA)D213811-61008172851710.71%1946222.040111247000041300%000000.4800000002
9Tristan LuneauSan Diego Gulls (ANA)D214711-680462423101817.39%1345921.883361345000039010%000000.4800000002
10Judd CaulfieldSan Diego Gulls (ANA)LW/RW212810-124011194411174.55%125812.3000000000000020.00%1500000.7700000010
11Noah WarrenSan Diego Gulls (ANA)D21279-420019201641212.50%2035717.030002900007000%000000.5000000010
12Brett LeasonSan Diego Gulls (ANA)C/LW/RW21718-1380344331122922.58%126112.4700001000031048.45%25800000.6100000001
13Carey TerranceSan Diego Gulls (ANA)C/LW/RW2135836024173310339.09%034216.30011447000000043.48%2300000.4700000000
14Sam ColangeloSan Diego Gulls (ANA)C/LW/RW2133602013122031415.00%01999.4811217000070150.00%2400000.6000000001
15Yegor SidorovSan Diego Gulls (ANA)LW/RW21134-1340911217114.76%125612.2400000000000033.33%1500000.3100000000
16Kyle MarinoSan Diego Gulls (ANA)C/LW/RW/D21033-71405888310%2136517.4200001000018000%000000.1600000000
17Nico MyatovicSan Diego Gulls (ANA)C/LW/RW210330401316246220%31778.4700000000000025.00%800000.3400000000
18Ben KingSan Diego Gulls (ANA)C/LW/RW21202020142262633.33%21808.6000011000000049.72%18100000.2200000000
Statistiques d’équipe totales ou en moyenne37869125194-38130044542359717140811.56%150620416.41183553118499000437411653.39%165200010.63000009710
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Calle ClangSan Diego Gulls (ANA)74200.8952.2934100131240000054000
2Spencer MartinSan Diego Gulls (ANA)113500.8653.44524003022201100812000
3Tomas SuchanekSan Diego Gulls (ANA)63100.9083.0929100151630000053100
4Damian ClaraSan Diego Gulls (ANA)31200.7886.111080011520000032000
Statistiques d’équipe totales ou en moyenne27111000.8773.271265006956101102121100


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10 2 3 4 5 6 7 8 9 10Lien
Anthony CostantiniSan Diego Gulls (ANA)D2404.08.2002Yes82 Kg185 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
Ben KingSan Diego Gulls (ANA)C/LW/RW2415.05.2002Yes92 Kg191 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm900,000$687,097$900,000$687,097$0$0$No------------------Lien / Lien NHL
Blake McLaughlinSan Diego Gulls (ANA)C2614.02.2000No73 Kg180 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
Brayden TraceySan Diego Gulls (ANA)C/LW/RW2528.05.2001No84 Kg185 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
Brett Leason (contrat à 1 volet)San Diego Gulls (ANA)C/LW/RW2730.04.1999No100 Kg196 CMNoNoAssign ManuallyYesYes419.07.2026Pro & Farm2,100,000$1,613,684$2,100,000$1,613,684$2,100,000$1,613,684$No2,100,000$2,100,000$2,100,000$------NoNoNo------Lien / Lien NHL
Calle ClangSan Diego Gulls (ANA)G2420.05.2002Yes88 Kg188 CMNoNoAssign ManuallyNoNo106.07.2025Pro & Farm1,023,750$781,573$1,023,750$781,573$0$0$No------------------Lien / Lien NHL
Carey TerranceSan Diego Gulls (ANA)C/LW/RW2110.05.2005Yes85 Kg185 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Connor HvidstonSan Diego Gulls (ANA)C/LW/RW2211.09.2004Yes84 Kg191 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm850,000$648,925$850,000$648,925$0$0$No------------------Lien / Lien NHL
Coulson PitreSan Diego Gulls (ANA)C/LW/RW2213.12.2004Yes78 Kg185 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm975,000$744,355$975,000$744,355$0$0$No975,000$--------No--------Lien / Lien NHL
Damian ClaraSan Diego Gulls (ANA)G2113.01.2005Yes97 Kg198 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No1,100,000$--------No--------Lien / Lien NHL
Hakon HaneltSan Diego Gulls (ANA)C/LW/RW/D2301.06.2003Yes84 Kg180 CMNoNoAssign ManuallyNoNo319.08.2026Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Jack BerglundSan Diego Gulls (ANA)C/LW/RW2010.04.2006Yes95 Kg193 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm975,000$744,355$975,000$744,355$0$0$No975,000$975,000$-------NoNo-------Lien / Lien NHL
Jan MysakSan Diego Gulls (ANA)C/LW/RW2424.06.2002Yes86 Kg180 CMNoNoAssign ManuallyNoNo106.07.2025Pro & Farm1,155,000$881,774$1,155,000$881,774$0$0$No------------------Lien / Lien NHL
Jaxsen WiebeSan Diego Gulls (ANA)C/LW/RW2416.05.2002Yes96 Kg188 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
Josh LopinaSan Diego Gulls (ANA)C/LW/RW2516.02.2001No90 Kg188 CMNoNoAssign ManuallyNoNo106.07.2025Pro & Farm945,000$721,452$945,000$721,452$0$0$No------------------Lien / Lien NHL
Judd CaulfieldSan Diego Gulls (ANA)LW/RW2519.03.2001No94 Kg191 CMNoNoAssign ManuallyNoNo106.07.2025Pro & Farm892,500$681,371$892,500$681,371$0$0$No------------------Lien / Lien NHL
Kyle MarinoSan Diego Gulls (ANA)C/LW/RW/D3101.06.1995No100 Kg191 CMNoNoAssign ManuallyNoNo319.08.2026Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Luka ProfacaSan Diego Gulls (ANA)D2430.03.2002Yes88 Kg188 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
Matt KesselSan Diego Gulls (ANA)D2623.06.2000No92 Kg191 CMNoNoWaiver06.03.2025YesYes105.06.2024Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No------------------Lien / Lien NHL
Michael CallowSan Diego Gulls (ANA)LW/RW2215.01.2004Yes100 Kg193 CMNoNoAssign ManuallyNoNo310.07.2026Pro & Farm850,000$648,925$850,000$648,925$0$0$No850,000$850,000$-------NoNo-------Lien / Lien NHL
Nathan GaucherSan Diego Gulls (ANA)C/LW/RW2306.11.2003Yes94 Kg191 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No------------------Lien / Lien NHL
Nico MyatovicSan Diego Gulls (ANA)C/LW/RW2201.12.2004Yes85 Kg191 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No------------------Lien / Lien NHL
Nikita NesterenkoSan Diego Gulls (ANA)C/LW/RW2510.09.2001No92 Kg188 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No1,400,000$--------No--------Lien / Lien NHL
Noah WarrenSan Diego Gulls (ANA)D2215.07.2004Yes98 Kg196 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No1,100,000$--------No--------Lien / Lien NHL
Pavol Regenda (contrat à 1 volet)San Diego Gulls (ANA)LW/RW2707.11.1999No98 Kg193 CMNoNoAssign ManuallyNoNo419.07.2026Pro & Farm2,650,000$2,036,316$2,650,000$2,036,316$2,650,000$2,036,316$No2,650,000$2,650,000$2,650,000$------NoNoNo------Lien / Lien NHL
Sam Colangelo (contrat à 1 volet)San Diego Gulls (ANA)C/LW/RW2526.12.2001No96 Kg188 CMNoNoAssign ManuallyNoNo206.07.2025Pro & Farm1,700,000$1,306,316$1,700,000$1,306,316$1,700,000$1,306,316$No1,700,000$--------No--------Lien / Lien NHL
Sasha PastujovSan Diego Gulls (ANA)LW/RW2315.07.2003Yes83 Kg183 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm1,023,750$781,573$1,023,750$781,573$0$0$No1,023,750$--------No--------Lien / Lien NHL
Spencer Martin (contrat à 1 volet)San Diego Gulls (ANA)G3108.06.1995No87 Kg191 CMNoNoAssign ManuallyNoNo101.09.2024Pro & Farm2,150,000$1,652,105$2,150,000$1,652,105$2,150,000$1,652,105$No------------------Lien / Lien NHL
Tomas SuchanekSan Diego Gulls (ANA)G2330.04.2003Yes82 Kg188 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
Tristan LuneauSan Diego Gulls (ANA)D2212.01.2004Yes88 Kg185 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No------------------Lien / Lien NHL
Tyson HindsSan Diego Gulls (ANA)D2312.03.2003Yes81 Kg191 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm1,023,750$781,573$1,023,750$781,573$0$0$No1,023,750$--------No--------Lien / Lien NHL
Urho Vaakanainen (contrat à 1 volet)San Diego Gulls (ANA)D2701.01.1999No93 Kg188 CMNoNoWaiverYesYes419.07.2026Pro & Farm2,150,000$1,652,105$2,150,000$1,652,105$2,150,000$1,652,105$No2,150,000$2,150,000$2,150,000$------NoNoNo------Lien / Lien NHL
Yegor SidorovSan Diego Gulls (ANA)LW/RW2218.06.2004Yes83 Kg183 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm975,000$744,355$975,000$744,355$0$0$No975,000$--------No--------Lien / Lien NHL
Nombre de joueurs Âge moyen Poids moyen Taille moyenne Contrat moyen Salaire moyen 1e année
3324.0990 Kg188 CM2.001,170,568$



Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Pavol RegendaNathan Gaucher35014
2Carey TerranceJan MysakSasha Pastujov33014
3Judd CaulfieldBrett LeasonYegor Sidorov20131
4Sam ColangeloBen KingNico Myatovic12131
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Tristan LuneauUrho Vaakanainen37122
2Tyson HindsMatt Kessel33122
3Noah WarrenKyle Marino30122
4Tristan LuneauTyson Hinds0122
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Nathan GaucherPavol Regenda50005
2Sasha PastujovJan MysakCarey Terrance50005
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Tristan LuneauMatt Kessel50023
2Tyson HindsUrho Vaakanainen50023
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Nathan Gaucher50122
2Jan MysakPavol Regenda50122
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Tristan LuneauMatt Kessel50122
2Tyson HindsUrho Vaakanainen50122
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Nathan Gaucher50122Tristan LuneauMatt Kessel50122
2Jan Mysak50122Tyson HindsUrho Vaakanainen50122
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Nathan GaucherPavol Regenda50122
2Jan Mysak50122
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Tristan LuneauMatt Kessel50122
2Tyson HindsUrho Vaakanainen50122
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Pavol RegendaNathan GaucherTristan LuneauTyson Hinds
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Pavol RegendaNathan GaucherTristan LuneauUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Pavol Regenda, Sasha Pastujov, Sasha Pastujov, Pavol RegendaSasha Pastujov
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Kyle Marino, Urho Vaakanainen, Matt KesselNoah WarrenKyle Marino, Tyson Hinds
Tirs de pénalité
Pavol Regenda, Tristan Luneau, , Sasha Pastujov, Tyson Hinds
Gardien
#1 : Tomas Suchanek, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
Pavol Regenda, , Sasha Pastujov, Judd Caulfield, Nathan Gaucher, Carey Terrance, Carey Terrance, Jan Mysak, Sam Colangelo, Nico Myatovic, Yegor Sidorov
Lignes de défense personnalisées en prolongation
Urho Vaakanainen, Matt Kessel, Tristan Luneau, Tyson Hinds, Noah Warren


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 Canucks31200000714-720200000311-81100000043120.333713200021262027118719021469319167210220.00%7185.71%035466952.91%34162354.74%18735253.13%491337497156276134
2Bakersfield Condors21100000761110000006331010000013-220.5007111800212620249187190214650818564125.00%7271.43%035466952.91%34162354.74%18735253.13%491337497156276134
3Belleville Senators11000000523110000005230000000000021.0005914002126202291871902146167883133.33%30100.00%035466952.91%34162354.74%18735253.13%491337497156276134
4Chicago Wolves11000000615000000000001100000061521.000612180021262023618719021461834224250.00%10100.00%035466952.91%34162354.74%18735253.13%491337497156276134
5Coachella Valley Firebirds21100000770110000003121010000046-220.5007121900212620258187190214657118507114.29%4250.00%035466952.91%34162354.74%18735253.13%491337497156276134
6Hartford Wolf Pack10001000761100010007610000000000021.0007132000212620224187190214631710212150.00%4250.00%035466952.91%34162354.74%18735253.13%491337497156276134
7Henderson Silver Knights2020000047-3000000000002020000047-300.0004812002126202601871902146681810349222.22%5180.00%035466952.91%34162354.74%18735253.13%491337497156276134
8Ontario Reign4300100015873200100013761100000021181.00015284300212620214718719021468429327611545.45%15193.33%035466952.91%34162354.74%18735253.13%491337497156276134
9Rockford IceHogs1010000035-2000000000001010000035-200.0003580021262022918719021463111616200.00%3233.33%035466952.91%34162354.74%18735253.13%491337497156276134
10San Jose Barracuda3120000058-3211000003301010000025-320.3335914102126202761871902146772512669222.22%5180.00%035466952.91%34162354.74%18735253.13%491337497156276134
11Tucson Roadrunners1010000036-3000000000001010000036-300.00035800212620218187190214637126243133.33%30100.00%035466952.91%34162354.74%18735253.13%491337497156276134
Total21910020006970-1116302000403371037000002937-8220.524691251941021262025971871902146562150130445641828.13%571278.95%035466952.91%34162354.74%18735253.13%491337497156276134
_Since Last GM Reset21910020006970-1116302000403371037000002937-8220.524691251941021262025971871902146562150130445641828.13%571278.95%035466952.91%34162354.74%18735253.13%491337497156276134
_Vs Conference19810010005762-595301000282531037000002937-8180.474571031601021262025441871902146515136112416591627.12%501080.00%035466952.91%34162354.74%18735253.13%491337497156276134
_Vs Division1679010004550-59530100028253726000001725-8160.5004581126102126202461187190214642911096354501326.00%43881.40%035466952.91%34162354.74%18735253.13%491337497156276134

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
2122L26912519459756215013044510
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
2191020006970
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
116320004033
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
103700002937
Derniers 10 matchs
W L OTW OTL SOWSOL
550000
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
641828.13%571278.95%0
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
18719021462126202
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
35466952.91%34162354.74%18735253.13%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
491337497156276134


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
614Ontario Reign3San Diego Gulls4BWXSommaire du match
726San Diego Gulls3Tucson Roadrunners6ALSommaire du match
1048Coachella Valley Firebirds1San Diego Gulls3BWSommaire du match
1268Bakersfield Condors3San Diego Gulls6BWSommaire du match
1380San Diego Gulls4Coachella Valley Firebirds6ALSommaire du match
1699Ontario Reign3San Diego Gulls6BWSommaire du match
18123San Diego Gulls2San Jose Barracuda5ALSommaire du match
19128San Diego Gulls1Bakersfield Condors3ALSommaire du match
21144Abbotsford Canucks6San Diego Gulls2BLSommaire du match
23163San Jose Barracuda1San Diego Gulls3BWSommaire du match
24179San Diego Gulls2Ontario Reign1AWSommaire du match
26190San Diego Gulls4Abbotsford Canucks3AWSommaire du match
28207San Diego Gulls2Henderson Silver Knights3ALSommaire du match
30223Abbotsford Canucks5San Diego Gulls1BLSommaire du match
32240Ontario Reign1San Diego Gulls3BWSommaire du match
34261Belleville Senators2San Diego Gulls5BWSommaire du match
36276San Diego Gulls6Chicago Wolves1AWSommaire du match
38288San Diego Gulls3Rockford IceHogs5ALSommaire du match
40304Hartford Wolf Pack6San Diego Gulls7BWXSommaire du match
42324San Jose Barracuda2San Diego Gulls0BLSommaire du match
43329San Diego Gulls2Henderson Silver Knights4ALSommaire du match
47354San Diego Gulls-Milwaukee Admirals-
48368Bakersfield Condors-San Diego Gulls-
50389Syracuse Crunch-San Diego Gulls-
52405San Diego Gulls-Toronto Marlies-
54420Texas Stars-San Diego Gulls-
56434San Diego Gulls-Abbotsford Canucks-
58448San Diego Gulls-Calgary Wranglers-
60463Henderson Silver Knights-San Diego Gulls-
62486Texas Stars-San Diego Gulls-
63495San Diego Gulls-Henderson Silver Knights-
65513San Diego Gulls-Coachella Valley Firebirds-
67527Colorado Eagles-San Diego Gulls-
69548Abbotsford Canucks-San Diego Gulls-
71564San Diego Gulls-Lehigh Valley Phantoms-
73583Rockford IceHogs-San Diego Gulls-
74601San Diego Gulls-Utica Comets-
76613Grand Rapids Griffins-San Diego Gulls-
78633Wilkes-Barre/Scranton Penguins-San Diego Gulls-
81656San Diego Gulls-Manitoba Moose-
82669San Diego Gulls-Providence Bruins-
87678Iowa Wild-San Diego Gulls-
90698San Diego Gulls-Colorado Eagles-
91712Hamilton Hammers-San Diego Gulls-
93733San Diego Gulls-Ontario Reign-
95743Henderson Silver Knights-San Diego Gulls-
97767San Diego Gulls-Texas Stars-
98775Henderson Silver Knights-San Diego Gulls-
101796San Diego Gulls-Abbotsford Canucks-
102807Hershey Bears-San Diego Gulls-
105828San Diego Gulls-Bakersfield Condors-
107839Tucson Roadrunners-San Diego Gulls-
109859San Diego Gulls-Manitoba Moose-
111872Manitoba Moose-San Diego Gulls-
113888San Diego Gulls-San Jose Barracuda-
115905San Jose Barracuda-San Diego Gulls-
118931San Diego Gulls-Ontario Reign-
119937Chicago Wolves-San Diego Gulls-
121960Ontario Reign-San Diego Gulls-
124978San Diego Gulls-Bakersfield Condors-
126993San Diego Gulls-Tucson Roadrunners-
1271001Bakersfield Condors-San Diego Gulls-
1301025San Diego Gulls-Coachella Valley Firebirds-
1311034Laval Rocket-San Diego Gulls-
1341054San Diego Gulls-Colorado Eagles-
1351065Iowa Wild-San Diego Gulls-
1401093Tucson Roadrunners-San Diego Gulls-
1411110San Diego Gulls-Chicago Wolves-
1451127Coachella Valley Firebirds-San Diego Gulls-
1481145San Diego Gulls-Grand Rapids Griffins-
1491156Coachella Valley Firebirds-San Diego Gulls-
1511169San Diego Gulls-Grand Rapids Griffins-
1541187Charlotte Checkers-San Diego Gulls-
1571206San Diego Gulls-Tucson Roadrunners-
1601217San Diego Gulls-Iowa Wild-
1611228Rockford IceHogs-San Diego Gulls-
1671251San Diego Gulls-Milwaukee Admirals-
1681256San Diego Gulls-Cleveland Monsters-
1691265Milwaukee Admirals-San Diego Gulls-
1721281San Diego Gulls-Springfield Thunderbirds-
1741293San Diego Gulls-Rochester Americans-
1751299Milwaukee Admirals-San Diego Gulls-
1811320San Diego Gulls-San Jose Barracuda-
1851342Tucson Roadrunners-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2
Capacité20001000
Prix des billets3020
Assistance20,7956,680
Assistance PCT94.52%60.73%

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe
31 2498 - 83.26% 87,451$961,961$3000100

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
881,904$ 2,787,875$ 2,787,875$ 0$
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial
0$ 645,337$ 0 0

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées
2,710,981$ 142 20,365$ 2,891,830$




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
1Sam Colangelo16350621126241282465199.63%33292017.929142389000149247.65%00.7714
2Ben Meyers1644562107-43610630738111.81%35292717.8581725511011012155.88%00.7322
3Nikita Nesterenko168376810513522032523979.32%31281716.77819275901152446.99%00.7517
4Glenn Gawdin1645250102-26618129742612.21%18282817.25817256700006256.56%00.7224
5Tristan Luneau1752080100-201272111752149.35%174366320.931020301011122510%00.5502

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
1Calle Clang89383260.8942.7847356121920600600.76730
2Tomas Suchanek50221730.8982.5526140211110850210.61513
3Spencer Martin53212330.8833.0028180114112040210.53813
4Damian Clara227940.8693.75104021654980000.7789

San Diego Gulls Statistiques de l'Équipe de Carrière

Total Domicile Visiteur
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
Saison régulière
2482283704463217231-144119120313312110516419250133096126-30832173805971285645816218369975070754202860565715922865017.48%2796178.14%11441252457.09%1362244255.77%659125152.68%1993138219316131062529
2582323404534239244-5411913022231341171741132102311105127-22872394156540385767114248279179887554225964155416012544216.54%2395875.73%11394267152.19%1314254151.71%676128652.57%1950134419486151073531
2621910020006970-1116302000403371037000002937-822691251941021262025971871902146562150130445641828.13%571278.95%035466952.91%34162354.74%18735253.13%491337497156276134
Total Saison régulière1856981010997525545-20934428073562952554092255303641230290-60192525920144525191166149325262167717381796114484913961341363860411018.21%57513177.22%23189586454.38%3017560653.82%1522288952.68%443630644377138624121194
Séries éliminatoires
24624000001518-331200000101003120000058-341525401053701404641521167465310523417.39%22386.36%09118449.46%8718148.07%389639.58%13894147437838
24624000001518-331200000101003120000058-341525401053701404641521167465310523417.39%22386.36%09118449.46%8718148.07%389639.58%13894147437838
2551400000918-92020000059-43120000049-52917260042301364950370184493711811218.18%16475.00%07516844.64%8818547.57%357546.67%10368133386229
Total Séries éliminatoires17512000003954-15826000002529-4936000001425-11103967106201481704161411321412518141143328571017.54%601083.33%025753647.95%26254747.90%11126741.57%379257429125219106

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
1Glenn Gawdin1721113682228306.67%225314.89033100000043.84%01.0300
2Benoit-Olivier Groulx176713-31815364015.00%431418.51257800010052.53%00.8300
3Sam Colangelo136410004164214.29%221816.84033700000035.71%00.9100
4Drew Helleson12088212384140%425621.3902260000000%00.6200
5Cutter Gauthier842660642020.00%213116.4800060000000%00.9100

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
1Tomas Suchanek208440.9132.441082004450404400
2Spencer Martin31200.9113.0018000910100000
3Calle Clang1001000.8644.02493003324300000