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San Diego Gulls
GP: 21 | W: 4 | L: 15 | OTL: 2 | P: 10
GF: 53 | GA: 83 | PP%: 20.83% | PK%: 75.00%
DG: Jason Ellis | Morale : 31 | Moyenne d’équipe : 58
Prochains matchs #334 vs Belleville Senators
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Centre de jeu
Ontario Reign
5-11-5, 15pts
3
FINAL
4 San Diego Gulls
4-15-2, 10pts
Team Stats
SOL1SéquenceL1
2-6-2Fiche domicile1-8-1
3-5-3Fiche domicile3-7-1
2-5-3Derniers 10 matchs2-7-1
2.76Buts par match 2.52
3.71Buts contre par match 3.95
26.09%Pourcentage en avantage numérique20.83%
58.82%Pourcentage en désavantage numérique75.00%
Syracuse Crunch
11-7-2, 24pts
6
FINAL
1 San Diego Gulls
4-15-2, 10pts
Team Stats
W3SéquenceL1
6-4-0Fiche domicile1-8-1
5-3-2Fiche domicile3-7-1
6-3-1Derniers 10 matchs2-7-1
3.50Buts par match 2.52
2.55Buts contre par match 3.95
22.58%Pourcentage en avantage numérique20.83%
78.05%Pourcentage en désavantage numérique75.00%
San Diego Gulls
4-15-2, 10pts
Jour 34
Belleville Senators
10-6-4, 24pts
Statistiques d’équipe
L1SéquenceW2
1-8-1Fiche domicile5-3-2
3-7-1Fiche visiteur5-3-2
2-7-110 derniers matchs3-4-3
2.52Buts par match 3.05
3.95Buts contre par match 3.05
20.83%Pourcentage en avantage numérique47.62%
75.00%Pourcentage en désavantage numérique66.67%
San Diego Gulls
4-15-2, 10pts
Jour 35
Wilkes-Barre/Scranton Penguins
16-3-2, 34pts
Statistiques d’équipe
L1SéquenceW2
1-8-1Fiche domicile8-1-1
3-7-1Fiche visiteur8-2-1
2-7-110 derniers matchs9-0-1
2.52Buts par match 3.52
3.95Buts contre par match 3.52
20.83%Pourcentage en avantage numérique18.75%
75.00%Pourcentage en désavantage numérique85.00%
Springfield Thunderbirds
13-5-2, 28pts
Jour 36
San Diego Gulls
4-15-2, 10pts
Statistiques d’équipe
OTL1SéquenceL1
7-3-1Fiche domicile1-8-1
6-2-1Fiche visiteur3-7-1
7-2-110 derniers matchs2-7-1
3.70Buts par match 2.52
2.80Buts contre par match 2.52
24.39%Pourcentage en avantage numérique20.83%
76.92%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Simon HolmstromButs
Simon Holmstrom
11
Passes
Juuso Parssinen
18
Points
Juuso Parssinen
20
Plus/Moins
Blake Murray
1
Victoires
Arvid Holm
4
Pourcentage d’arrêts
Arvid Holm
0.893

Statistiques d’équipe
Buts pour
53
2.52 GFG
Tirs pour
786
37.43 Avg
Pourcentage en avantage numérique
20.8%
5 GF
Début de zone offensive
43.1%
Buts contre
83
3.95 GAA
Tirs contre
749
35.67 Avg
Pourcentage en désavantage numérique
75.0%%
4 GA
Début de la zone défensive
31.4%
Informations de l'équipe

Directeur généralJason Ellis
DivisionEast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 65
Espoirs60


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
1Simon Holmstrom (R)0X100.00573594797876916355616668734559043680234775,000$
2Jakub Lauko (R)0X100.00814986768069725455615675674558041660242787,500$
3Carl Grundstrom0X100.007335937878716055555864727056650426602611,300,000$
4Juuso Parssinen (R)0X100.00653592798279605955586570714561040660231850,833$
5Aku Raty (R)0XXX100.005235998369736059557441506345580396102361,350,000$
6Danil Gushchin (R)0X100.00433599816279606255515356684559043600226860,000$
7Jonas Rondbjerg0X100.00473599777572605155514961634861042590252775,000$
8Adam Edstrom (R)0X100.00703594768965605055475655654556042590246846,667$
9Adam Beckman (R)0X100.00523571767068605055544757624555042580232894,167$
10Henri Nikkanen (R)0X100.00624069616661625951575457585050046580231859,167$
11Nikita Nesterenko (R)0X100.005635997973726050554157526645580425802342,000,000$
12Zack Ostapchuk (R)0X100.00603599758070605055414159604552042570214870,000$
13Olle Lycksell (R)0X100.00403591786069605255565053644860042570252787,500$
14Rory Kerins (R)0X100.00624068656258575647545458585050042570223846,667$
15Blake Murray (R)0X100.00604068626357575747545454575050042560231791,667$
16Samuel Fagemo0X100.00403599767967605055414750624557042550244775,000$
17Ville Koivunen (R)0X100.00564068665754535647535454595050042550215805,833$
18Anton Stralman0X100.00594376716270716340585769638070042670384775,000$
19Tristan Luneau (R)0X100.004035858265856055405147505445580395902021,250,000$
20Jakub Galvas (R)0X100.00633870615649605957574069444848042590254775,000$
21William Wrenn0X100.00513575686563635051544956407358045590334775,000$
22Reilly Walsh0X100.00536947656362695950564350564848039560254775,000$
23Ryan Jones (R)0X100.00665852476361535145646050595656041560274775,000$
24Michael Vukojevic (R)0X100.00505861526747545853445065584545039550234775,000$
Rayé
1Ryan Winterton (R)0X100.00473599757167605055414156604551034550216775,000$
2Nathan Legare (R)0X100.00687265556953585662634450434545034540234775,000$
3Roby Jarventie (R)0X100.00403585757064605055464150604552034540224775,000$
4Sammy Walker (R)0XX100.00403599747068605055414150604859034540254775,000$
5Mathias Emilio Pettersen (R)0X100.00657368626352626342474341434545034520244775,000$
6Jeremy Davies (R)0X100.00504955666346645758494643436060034540274775,000$
7Robin Salo0X100.00367569546149535157704943565252034520264775,000$
8Helge Grans (R)0X100.00366554486247655352644442504545034500222870,000$
MOYENNE D’ÉQUIPE100.0054448069696461555254505659495504058
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
1Arvid Holm (R)099.0048705562546350576453574950037570252775,000$
2Dylan Wells (R)0100.0053565050604852636946605966047560262775,000$
Rayé
1Eetu Makiniemi (R)0100.0067485253565348705160536355044560252775,000$
MOYENNE D’ÉQUIPE99.675658525557555063615357575704356
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
1Juuso ParssinenSan Diego Gulls (ANA)C2121820-16101034369425592.13%1244721.300223230000140047.79%680359000.8900011000
2Simon HolmstromSan Diego Gulls (ANA)RW2111718-161753028101376710.89%1443220.61011323000002044.44%36309000.8300001020
3Jakub LaukoSan Diego Gulls (ANA)LW218816-151010572269143111.59%1544921.431012220000140040.48%421214000.7100110103
4Carl GrundstromSan Diego Gulls (ANA)RW217815-50044288017398.75%1034816.58011018000000047.06%172012000.8600000100
5Aku RatySan Diego Gulls (ANA)C/LW/RW2151015-35522336917257.25%936117.23101317000071048.15%271910000.8300010001
6Danil GushchinSan Diego Gulls (ANA)LW217310-85510167220329.72%627313.0100001000000033.33%6136000.7300001001
7Jakub GalvasSan Diego Gulls (ANA)D21077-440302813760%1939819.0000001500009000%0120000.3500000000
8Adam EdstromSan Diego Gulls (ANA)C21336-40043292491312.50%535116.74101118000040053.71%22958000.3400000000
9Henri NikkanenSan Diego Gulls (ANA)C21246-9141033233610255.56%1026012.3900000000000044.54%11973000.4600101000
10Adam BeckmanSan Diego Gulls (ANA)LW21235-3002412297126.90%31818.6300000000000033.33%347000.5500000000
11Anton StralmanSan Diego Gulls (ANA)D21055-23211551456026230%3055626.48022127000011000%02423000.1800111000
12Nikita NesterenkoSan Diego Gulls (ANA)C21055-3001511189170%41808.6100000000000048.28%58113000.5500000000
13Olle LycksellSan Diego Gulls (ANA)RW21325-3002112210913.64%11818.6400000000000020.00%592000.5500000000
14Jonas RondbjergSan Diego Gulls (ANA)RW21134-80017253714262.70%1227112.9200001000001066.67%9124000.2900000000
15Tristan LuneauSan Diego Gulls (ANA)D21224-21551021215119.52%2648122.93202527000015000%0915000.1700010000
16William WrennSan Diego Gulls (ANA)D21011-575162123540%2339618.8900001500009000%0613000.0500100000
17Samuel FagemoSan Diego Gulls (ANA)LW21000000010000%0110.57000010000600100.00%10000000000000
18Reilly WalshSan Diego Gulls (ANA)D21000-277251415440%1328313.510000000003000%00600000014000
19Michael VukojevicSan Diego Gulls (ANA)D21000-375471210%31175.580000000000000%00200000010000
20Blake MurraySan Diego Gulls (ANA)C21000100101100%080.4000000000030050.00%20000000000000
21Ryan JonesSan Diego Gulls (ANA)D21000-3151522811310%828813.730000000012000%010800000012000
Statistiques d’équipe totales ou en moyenne4415389142-1531971154794067862424056.74%223628214.2556111821200011024048.22%1234227174000.45004811225
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
1Arvid HolmSan Diego Gulls (ANA)2141520.8933.79120300767104172200210211
2Dylan WellsSan Diego Gulls (ANA)20000.8655.565400537220000021000
Statistiques d’équipe totales ou en moyenne2341520.8923.86125800817474392202121211


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam BeckmanSan Diego Gulls (ANA)LW232001-05-10Yes182 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Lien
Adam Edstrom (contrat à 1 volet)San Diego Gulls (ANA)C242000-10-12Yes225 Lbs6 ft8NoNoProspectNoNo62024-08-17FalseFalsePro & Farm846,667$846,667$650,338$No846,667$846,667$846,667$846,667$846,667$----846,667$846,667$846,667$846,667$846,667$----NoNoNoNoNo----
Aku RatySan Diego Gulls (ANA)C/LW/RW232001-07-05Yes170 Lbs6 ft0NoNoProspectNoNo62024-07-05FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$----1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$----NoNoNoNoNo----
Anton StralmanSan Diego Gulls (ANA)D381986-08-01No176 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Arvid HolmSan Diego Gulls (ANA)G251998-11-03Yes213 Lbs6 ft4NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Blake MurraySan Diego Gulls (ANA)C232001-07-05Yes187 Lbs6 ft2NoNoN/ANoNo12024-01-20FalseFalsePro & Farm791,667$0$0$No---------------------------
Carl GrundstromSan Diego Gulls (ANA)RW261997-12-01No195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien / Lien NHL
Danil GushchinSan Diego Gulls (ANA)LW222002-02-06Yes165 Lbs5 ft8NoNoProspectNoNo62024-07-05FalseFalsePro & Farm860,000$0$0$No860,000$860,000$860,000$860,000$860,000$----860,000$860,000$860,000$860,000$860,000$----NoNoNoNoNo----
Dylan WellsSan Diego Gulls (ANA)G261998-01-03Yes190 Lbs6 ft2NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Eetu MakiniemiSan Diego Gulls (ANA)G251999-04-19Yes184 Lbs6 ft2NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Helge GransSan Diego Gulls (ANA)D222002-05-10Yes205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Henri NikkanenSan Diego Gulls (ANA)C232001-04-28Yes201 Lbs6 ft4NoNoN/ANoNo12024-01-20FalseFalsePro & Farm859,167$0$0$No---------------------------
Jakub GalvasSan Diego Gulls (ANA)D251999-06-15Yes161 Lbs5 ft11NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Jakub LaukoSan Diego Gulls (ANA)LW242000-03-28Yes196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm787,500$0$0$No787,500$--------787,500$--------No--------Lien
Jeremy DaviesSan Diego Gulls (ANA)D271996-12-04Yes180 Lbs5 ft11NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Jonas RondbjergSan Diego Gulls (ANA)RW251999-03-31No203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Juuso ParssinenSan Diego Gulls (ANA)C232001-02-01Yes212 Lbs6 ft3NoNoN/ANoNo12024-01-20FalseFalsePro & Farm850,833$0$0$No---------------------------
Mathias Emilio PettersenSan Diego Gulls (ANA)C242000-04-03Yes175 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------
Michael VukojevicSan Diego Gulls (ANA)D232001-06-08Yes215 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------Lien
Nathan LegareSan Diego Gulls (ANA)RW232001-01-11Yes205 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------
Nikita NesterenkoSan Diego Gulls (ANA)C232001-09-10Yes183 Lbs6 ft2NoNoProspectNoNo42024-07-05FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------
Olle LycksellSan Diego Gulls (ANA)RW251999-08-24Yes163 Lbs5 ft10NoNoTrade2024-02-07NoNo2FalseFalsePro & Farm787,500$0$0$No787,500$--------787,500$--------No--------
Reilly WalshSan Diego Gulls (ANA)D251999-04-21No185 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------Lien
Robin SaloSan Diego Gulls (ANA)D261998-10-13No190 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------Lien
Roby JarventieSan Diego Gulls (ANA)LW222002-08-08Yes184 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------Lien
Rory KerinsSan Diego Gulls (ANA)C222002-04-12Yes185 Lbs6 ft0NoNoN/ANoNo32024-01-20FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------846,667$846,667$-------NoNo-------
Ryan JonesSan Diego Gulls (ANA)D271997-01-31Yes197 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Ryan WintertonSan Diego Gulls (ANA)C212003-09-04Yes190 Lbs6 ft2NoNoProspectNoNo62024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$----775,000$775,000$775,000$775,000$775,000$----NoNoNoNoNo----
Sammy WalkerSan Diego Gulls (ANA)LW/RW251999-06-07Yes180 Lbs5 ft10NoNoTrade2024-02-07NoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------
Samuel FagemoSan Diego Gulls (ANA)LW242000-03-14No200 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------Lien
Simon HolmstromSan Diego Gulls (ANA)RW232001-05-24Yes205 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$---------------NoNoNo------Lien / Lien NHL
Tristan LuneauSan Diego Gulls (ANA)D202004-01-12Yes175 Lbs6 ft1NoNoProspectNoNo22024-07-05FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------
Ville KoivunenSan Diego Gulls (ANA)RW212003-06-13Yes161 Lbs5 ft11NoNoN/ANoNo52024-01-20FalseFalsePro & Farm805,833$0$0$No805,833$805,833$805,833$805,833$-----805,833$805,833$805,833$805,833$-----NoNoNoNo-----
William WrennSan Diego Gulls (ANA)D331991-03-16No200 Lbs6 ft1NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Zack OstapchukSan Diego Gulls (ANA)C212003-05-29Yes205 Lbs6 ft3NoNoProspectNoNo42024-07-05FalseFalsePro & Farm870,000$0$0$No870,000$870,000$870,000$------870,000$870,000$870,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.34190 Lbs6 ft13.37877,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub LaukoJuuso ParssinenSimon Holmstrom40122
2Aku RatyAdam EdstromCarl Grundstrom30122
3Danil GushchinHenri NikkanenJonas Rondbjerg20122
4Adam BeckmanNikita NesterenkoOlle Lycksell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTristan Luneau40122
2Jakub GalvasWilliam Wrenn30122
3Reilly WalshRyan Jones20122
4Michael VukojevicAnton Stralman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub LaukoJuuso ParssinenSimon Holmstrom65113
2Aku RatyAdam EdstromCarl Grundstrom35122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTristan Luneau60122
2Jakub GalvasWilliam Wrenn40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenJakub Lauko60131
2Adam EdstromAku Raty40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTristan Luneau60122
2Jakub GalvasWilliam Wrenn40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen60122Anton StralmanTristan Luneau60122
2Adam Edstrom40122Jakub GalvasWilliam Wrenn40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenJakub Lauko60122
2Adam EdstromAku Raty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTristan Luneau60122
2Jakub GalvasWilliam Wrenn40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub LaukoJuuso ParssinenSimon HolmstromAnton StralmanTristan Luneau
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub LaukoJuuso ParssinenSimon HolmstromAnton StralmanTristan Luneau
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aku Raty, Danil Gushchin, Jonas RondbjergAku Raty, Danil GushchinAku Raty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reilly Walsh, Ryan Jones, Michael VukojevicReilly WalshReilly Walsh, Ryan Jones
Tirs de pénalité
Simon Holmstrom, Carl Grundstrom, Jakub Lauko, Juuso Parssinen, Aku Raty
Gardien
#1 : Arvid Holm, #2 : Dylan Wells
Lignes d’attaque personnalisées en prolongation
Simon Holmstrom, Carl Grundstrom, Jakub Lauko, Juuso Parssinen, Aku Raty, Danil Gushchin, Danil Gushchin, Jonas Rondbjerg, Adam Edstrom, Adam Beckman, Henri Nikkanen
Lignes de défense personnalisées en prolongation
Anton Stralman, Tristan Luneau, Jakub Galvas, William Wrenn, Reilly Walsh


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
1Belleville Senators20100100811-31010000035-21000010056-110.250811190072520172207306270362202493133.33%10100.00%026452949.91%17238544.68%15931450.64%453267429190379185
2Cleveland Monsters2010010068-21000010034-11010000034-110.250691500725201812073062703581874833100.00%110.00%026452949.91%17238544.68%15931450.64%453267429190379185
3Hartford Wolf Pack1010000012-1000000000001010000012-100.000123007252014920730627033620224000%10100.00%026452949.91%17238544.68%15931450.64%453267429190379185
4Hershey Bears4220000010911010000024-23210000085340.500101727007252011412073062703141604597500.00%5180.00%026452949.91%17238544.68%15931450.64%453267429190379185
5Lehigh Valley Phantoms20200000310-71010000024-21010000016-500.00036910725201732073062703731836425120.00%3166.67%026452949.91%17238544.68%15931450.64%453267429190379185
6Manitoba Moose1010000014-3000000000001010000014-300.00012300725201282073062703388019100.00%000%026452949.91%17238544.68%15931450.64%453267429190379185
7Milwaukee Admirals1010000037-4000000000001010000037-400.00035800725201422073062703408524000%000%026452949.91%17238544.68%15931450.64%453267429190379185
8Ontario Reign10001000431100010004310000000000021.000471100725201342073062703315019000%000%026452949.91%17238544.68%15931450.64%453267429190379185
9Springfield Thunderbirds1010000012-11010000012-10000000000000.0001230072520140207306270337161418300.00%20100.00%026452949.91%17238544.68%15931450.64%453267429190379185
10Syracuse Crunch1010000016-51010000016-50000000000000.0001230072520140207306270332174226200.00%10100.00%026452949.91%17238544.68%15931450.64%453267429190379185
11Tuscon Roadrunners211000007431010000013-21100000061520.500712190072520182207306270392152749000%10100.00%026452949.91%17238544.68%15931450.64%453267429190379185
12Wilkes-Barre/Scranton Penguins30300000817-920200000512-71010000035-200.00081422107252011042073062703109181764200.00%110.00%026452949.91%17238544.68%15931450.64%453267429190379185
Total21315012005383-301008011002243-211137001003140-9100.238538914220725201786207306270374922319747924520.83%16475.00%026452949.91%17238544.68%15931450.64%453267429190379185
_Since Last GM Reset21315012005383-301008011002243-211137001003140-9100.238538914220725201786207306270374922319747924520.83%16475.00%026452949.91%17238544.68%15931450.64%453267429190379185
_Vs Conference19313012004974-25907011002141-201036001002833-5100.263498213120725201704207306270367219917843721523.81%14471.43%026452949.91%17238544.68%15931450.64%453267429190379185

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2110L1538914278674922319747920
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2131512005383
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100811002243
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
113701003140
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24520.83%16475.00%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
2073062703725201
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
26452949.91%17238544.68%15931450.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
453267429190379185


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
17Wilkes-Barre/Scranton Penguins8San Diego Gulls3LSommaire du match
221San Diego Gulls3Hershey Bears1WSommaire du match
441San Diego Gulls2Hershey Bears3LSommaire du match
653Hershey Bears4San Diego Gulls2LSommaire du match
764San Diego Gulls5Belleville Senators6LXSommaire du match
873San Diego Gulls3Cleveland Monsters4LSommaire du match
1091Belleville Senators5San Diego Gulls3LSommaire du match
12114Lehigh Valley Phantoms4San Diego Gulls2LSommaire du match
13122San Diego Gulls3Wilkes-Barre/Scranton Penguins5LSommaire du match
15146San Diego Gulls3Hershey Bears1WSommaire du match
16154Springfield Thunderbirds2San Diego Gulls1LSommaire du match
18172San Diego Gulls6Tuscon Roadrunners1WSommaire du match
19183San Diego Gulls1Lehigh Valley Phantoms6LSommaire du match
20190Wilkes-Barre/Scranton Penguins4San Diego Gulls2LSommaire du match
23220Cleveland Monsters4San Diego Gulls3LXSommaire du match
25242Tuscon Roadrunners3San Diego Gulls1LSommaire du match
26254San Diego Gulls3Milwaukee Admirals7LSommaire du match
27255San Diego Gulls1Manitoba Moose4LSommaire du match
29281San Diego Gulls1Hartford Wolf Pack2LSommaire du match
30290Ontario Reign3San Diego Gulls4WXSommaire du match
32314Syracuse Crunch6San Diego Gulls1LSommaire du match
34334San Diego Gulls-Belleville Senators-
35345San Diego Gulls-Wilkes-Barre/Scranton Penguins-
36354Springfield Thunderbirds-San Diego Gulls-
38378Iowa Wild-San Diego Gulls-
40396San Diego Gulls-Utica Comets-
41409Calgary Wranglers-San Diego Gulls-
42425San Diego Gulls-Providence Bruins-
43441Rochester Americans-San Diego Gulls-
45459San Diego Gulls-Bridgeport Sound Tigers-
47473Rockford IceHogs-San Diego Gulls-
49492San Diego Gulls-Abbotsford Canucks-
50504Utica Comets-San Diego Gulls-
52527San Diego Gulls-Springfield Thunderbirds-
53539Cleveland Monsters-San Diego Gulls-
55557San Diego Gulls-Cleveland Monsters-
56570Lehigh Valley Phantoms-San Diego Gulls-
58592Manitoba Moose-San Diego Gulls-
59603San Diego Gulls-Wilkes-Barre/Scranton Penguins-
61616San Diego Gulls-Colorado Eagles-
62634Bridgeport Sound Tigers-San Diego Gulls-
64651San Diego Gulls-Syracuse Crunch-
65665Grand Rapids Griffins-San Diego Gulls-
67685San Diego Gulls-Lehigh Valley Phantoms-
68699Lehigh Valley Phantoms-San Diego Gulls-
70716San Diego Gulls-Belleville Senators-
71731Chicago Wolves-San Diego Gulls-
73743San Diego Gulls-Coachella Valley Firebirds-
74761Hershey Bears-San Diego Gulls-
75772San Diego Gulls-Coachella Valley Firebirds-
76788San Diego Gulls-Hershey Bears-
78800Laval Rocket-San Diego Gulls-
80825Wilkes-Barre/Scranton Penguins-San Diego Gulls-
81840San Diego Gulls-Hershey Bears-
83854San Diego Gulls-Ontario Reign-
84864San Jose Barracuda-San Diego Gulls-
86884San Diego Gulls-Tuscon Roadrunners-
87895Belleville Senators-San Diego Gulls-
89920Wilkes-Barre/Scranton Penguins-San Diego Gulls-
90932San Diego Gulls-San Jose Barracuda-
92950San Diego Gulls-Cleveland Monsters-
93960Hershey Bears-San Diego Gulls-
95979San Diego Gulls-San Jose Barracuda-
96989Toronto Marlies-San Diego Gulls-
991017Belleville Senators-San Diego Gulls-
1011044Providence Bruins-San Diego Gulls-
1021049San Diego Gulls-Wilkes-Barre/Scranton Penguins-
1041071Providence Bruins-San Diego Gulls-
1051083San Diego Gulls-Milwaukee Admirals-
1061092San Diego Gulls-Bakersfield Condors-
1081112Hartford Wolf Pack-San Diego Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1111139Tuscon Roadrunners-San Diego Gulls-
1121153San Diego Gulls-Texas Stars-
1141172Ontario Reign-San Diego Gulls-
1151182San Diego Gulls-Texas Stars-
1181205Henderson Silver Knights-San Diego Gulls-
1211229San Jose Barracuda-San Diego Gulls-
1221241San Diego Gulls-Manitoba Moose-
1241260Henderson Silver Knights-San Diego Gulls-
1251272San Diego Gulls-Lehigh Valley Phantoms-
1291296Charlotte Checkers-San Diego Gulls-
1301306San Diego Gulls-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets10075
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
723,584$ 2,984,834$ 2,287,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
22,612$ 723,584$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 100 22,612$ 2,261,200$




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