Connexion

San Diego Gulls
GP: 15 | W: 9 | L: 3 | OTL: 3 | P: 21
GF: 49 | GA: 34 | PP%: 36.59% | PK%: 81.25%
DG: Sebastien Verville | Morale : 44 | Moyenne d’équipe : 63
Prochains matchs #246 vs Iowa Wild
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Centre de jeu
San Jose Barracuda
11-2-2, 24pts
3
FINAL
2 San Diego Gulls
9-3-3, 21pts
Team Stats
W7StreakW1
6-1-1Home Record4-1-2
5-1-1Away Record5-2-1
9-1-0Last 10 Games5-3-2
3.80Buts par match 3.27
3.20Buts contre par match 2.27
36.59%Pourcentage en avantage numérique36.59%
77.27%Pourcentage en désavantage numérique81.25%
San Diego Gulls
9-3-3, 21pts
4
FINAL
3 Texas Stars
5-6-3, 13pts
Team Stats
W1StreakOTL1
4-1-2Home Record3-2-3
5-2-1Away Record2-4-0
5-3-2Last 10 Games4-4-2
3.27Buts par match 2.71
2.27Buts contre par match 3.36
36.59%Pourcentage en avantage numérique37.50%
81.25%Pourcentage en désavantage numérique64.71%
Iowa Wild
5-8-1, 11pts
2023-11-16
San Diego Gulls
9-3-3, 21pts
Statistiques d’équipe
W1SéquenceW1
3-5-0Fiche domicile4-1-2
2-3-1Fiche visiteur5-2-1
4-5-110 derniers matchs5-3-2
2.43Buts par match 3.27
3.43Buts contre par match 3.27
22.58%Pourcentage en avantage numérique36.59%
68.57%Pourcentage en désavantage numérique81.25%
San Diego Gulls
9-3-3, 21pts
2023-11-20
Laval Rocket
6-8-1, 13pts
Statistiques d’équipe
W1SéquenceW1
4-1-2Fiche domicile2-5-1
5-2-1Fiche visiteur4-3-0
5-3-210 derniers matchs4-6-0
3.27Buts par match 2.60
2.27Buts contre par match 2.60
36.59%Pourcentage en avantage numérique25.00%
81.25%Pourcentage en désavantage numérique55.17%
Milwaukee Admirals
5-6-0, 10pts
2023-11-24
San Diego Gulls
9-3-3, 21pts
Statistiques d’équipe
W1SéquenceW1
3-5-0Fiche domicile4-1-2
2-1-0Fiche visiteur5-2-1
4-6-010 derniers matchs5-3-2
3.55Buts par match 3.27
3.64Buts contre par match 3.27
28.00%Pourcentage en avantage numérique36.59%
84.85%Pourcentage en désavantage numérique81.25%
Meneurs d'équipe
Joseph CramarossaButs
Joseph Cramarossa
8
Passes
Max Jones
9
Points
Max Jones
16
Plus/Moins
Keaton Thompson
6
Victoires
Pheonix Copley
8
Pourcentage d’arrêts
Pheonix Copley
0.933

Statistiques d’équipe
Buts pour
49
3.27 GFG
Tirs pour
456
30.40 Avg
Pourcentage en avantage numérique
36.6%
15 GF
Début de zone offensive
38.2%
Buts contre
34
2.27 GAA
Tirs contre
471
31.40 Avg
Pourcentage en désavantage numérique
81.3%%
3 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralSebastien Verville
EntraîneurTodd Nelson
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 100
Espoirs20


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 moyen
1Mackenzie MacEachern0XXX100.007544746479808265666460666276735946652291750,000$
2Jesper Boqvist0XXX100.0059397771778088687064666466686870346522512,000,000$
3Joseph Cramarossa0XXX100.007146666575767363656263656579725153642313775,000$
4Max Jones0XX100.0075446665878173645761627066697075526422531,295,000$
5Dryden Hunt0XX100.008043776273798763646260616369714749630281850,000$
6Mikey Eyssimont0X100.006554836271879263536162615870674951630273750,000$
7Callahan Burke0XX100.006055776367868462656062685558486249620261750,000$
8Ethen Frank0XXX100.006655776266777559606264696265607644620252800,000$
9Danila Klimovich (R)0XX100.007260795881798456605659606062428648592201886,667$
10Brent Gates Jr68XXX100.007142925880727556655754605469676043590264950,000$
11Brandon Kruse (R)0X100.006645625662727358605854586062425948570243750,000$
12Karl Henriksson (R)14XX100.005440666168777255595655565246467944562222850,000$
13Robin Salo0X100.006655766878828065306260666061418751642252800,000$
14Tucker Poolman0X100.0070418455816665683061597052807441536403013,800,000$
15Corey Schueneman0X100.006039796372858362306360648558595748630281750,000$
16Ilya Solovyov (R)10X100.007740776271768260306060704462427642630231828,333$
17Maxwell Crozier (R)0X100.006655676565687255305550585250546647580233833,000$
18Keaton Thompson 0X100.005745765869757854305458605952517349582281800,000$
Rayé
1Dylan McLaughlin0XXX100.007256706369788061555553596069695450600281750,000$
MOYENNE D’ÉQUIPE100.00674775627378796152605963606459654762
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 moyen
1Pheonix Copley34100.00828180888182848583818178844960810312825,000$
2Jonas Johansson 33100.00727570937473757374747468815652742281775,000$
Rayé
1Calvin Pickard0100.007568677974737574727575788356367323121,200,000$
2Garrett Metcalf0100.00657070856059616260565965407832620273775,000$
MOYENNE D’ÉQUIPE100.0074747286727274747272727272604573
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson65727169818569CAN5311,000,000$


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
1Max JonesSan Diego Gulls (ANA)LW/RW157916240201354132812.96%730120.113471131000152149.09%55149001.0603000121
2Joseph CramarossaSan Diego Gulls (ANA)C/LW/RW158614340191248182916.67%527018.023478310001112058.74%14392001.0413000120
3Mackenzie MacEachernSan Diego Gulls (ANA)C/LW/RW9561100071040141512.50%319822.03123321000001051.43%3588001.1101000111
4Mikey EyssimontSan Diego Gulls (ANA)LW146410-17511184562213.33%930922.10213424000011234.96%123114000.6501001010
5Callahan BurkeSan Diego Gulls (ANA)C/RW15459-22012172812814.29%326617.7711256000070047.06%8559000.6811000002
6Dylan McLaughlinSan Diego Gulls (ANA)C/LW/RW12538-1255172037172213.51%624120.16213621000031045.53%12334000.6601100010
7Dryden HuntSan Diego Gulls (ANA)LW/RW15358-30025193813237.89%430120.131342270001120053.85%2694000.5303000000
8Adam RuzickaAnaheim DucksC/LW633645545234413.04%511819.7701106000040053.33%6031001.0100010010
9Tucker PoolmanSan Diego Gulls (ANA)D1406650091920440.00%1533924.27022128000015000.00%0413000.3500000001
10Corey SchuenemanSan Diego Gulls (ANA)D15145-50091315486.67%2133522.34123231000114000.00%0813000.3011000100
11Ethen FrankSan Diego Gulls (ANA)C/LW/RW1505501958212111280.00%425416.9800003000150047.90%11952000.3900010010
12Robin SaloSan Diego Gulls (ANA)D140554558142010120.00%1730922.12011120000010000.00%025000.3200100000
13Jayson MegnaAnaheim DucksC/LW/RW23142204092633.33%13919.93011020000100100.00%511002.0100000101
14Kristians RubinsAnaheim DucksD41231002242025.00%57919.951122600001000.00%012000.7500000000
15Brendan GaunceAnaheim DucksC/LW/RW2022200017230.00%04321.6201134000000071.43%2101000.9300000000
16Keaton Thompson San Diego Gulls (ANA)D15022620794210.00%621314.230000300000000.00%035000.1900000000
17Nic PetanAnaheim DucksC/RW1022200021030.00%11919.7200000000000055.00%2001002.0300000100
18Jesper BoqvistSan Diego Gulls (ANA)C/LW/RW3022-100313780.00%05618.930111300000000.00%040000.7000000010
19Jordan OesterleAnaheim DucksD1011000001000.00%02222.470000200000000.00%002000.8900000000
20Karl Henriksson San Diego Gulls (ANA)C/RW141010001163416.67%0362.6000001000001040.00%500000.5500000000
21Brandon KruseSan Diego Gulls (ANA)LW15011200213210.00%0342.270000000001000.00%000000.5900000000
22Ilya SolovyovSan Diego Gulls (ANA)D14011-300111310330.00%1026018.63000016000012000.00%047000.0800000000
23Danila KlimovichSan Diego Gulls (ANA)C/RW151011008751620.00%6956.3300000000020075.00%412000.2100000000
24Brent Gates JrSan Diego Gulls (ANA)C/LW/RW14011100657440.00%11289.1500000000000046.15%1304000.1600000000
25Maxwell CrozierSan Diego Gulls (ANA)D14000-2007132310.00%419213.740001600000000.00%012000.00%00000000
26Jackson LaCombeAnaheim DucksD3000100375320.00%46722.440000700001000.00%022000.00%00000000
Statistiques d’équipe totales ou en moyenne276487612418752520324345616024510.53%137453716.441526415030900051158349.34%83798103000.553142216106
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
1Pheonix CopleySan Diego Gulls (ANA)148330.9332.108572130447221000.71414140403
2Jonas Johansson San Diego Gulls (ANA)11000.9171.88640022412000.00%0114000
Statistiques d’équipe totales ou en moyenne159330.9322.09921213247123300141514403


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 Nouveau joueur 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 10Link
Brandon KruseSan Diego Gulls (ANA)LW241999-03-06 06:43:37Yes69 Lbs6 ft3NoNoNoNo3Pro & Farm750,000$601,931$750,000$601,931$0$0$No750,000$750,000$Lien
Brent Gates JrSan Diego Gulls (ANA)C/LW/RW261997-08-12No198 Lbs6 ft2NoNoNoNo4Pro & Farm950,000$762,446$950,000$762,446$0$0$No950,000$950,000$950,000$Lien
Callahan BurkeSan Diego Gulls (ANA)C/RW261997-03-24 09:51:56No183 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$NoLien
Calvin PickardSan Diego Gulls (ANA)G311992-04-15No210 Lbs6 ft1NoNoNoNo2Pro & Farm1,200,000$963,090$1,200,000$963,090$0$0$No1,200,000$Lien / Lien NHL
Corey SchuenemanSan Diego Gulls (ANA)D281995-09-02 10:49:11No197 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$No
Danila KlimovichSan Diego Gulls (ANA)C/RW202003-01-09 06:48:09Yes202 Lbs6 ft1NoNoNoNo1Pro & Farm886,667$711,617$886,667$711,617$0$0$No
Dryden HuntSan Diego Gulls (ANA)LW/RW281995-11-24No193 Lbs6 ft0NoNoNoNo1Pro & Farm850,000$682,189$850,000$682,189$0$0$NoLien
Dylan McLaughlinSan Diego Gulls (ANA)C/LW/RW281995-06-05 08:48:54No187 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$No
Ethen FrankSan Diego Gulls (ANA)C/LW/RW251998-02-05 02:37:29No178 Lbs5 ft10NoNoNoNo2Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$Lien
Garrett MetcalfSan Diego Gulls (ANA)G271996-03-05 06:44:57No185 Lbs6 ft3NoNoNoNo3Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$
Ilya SolovyovSan Diego Gulls (ANA)D232000-07-20 06:46:08Yes208 Lbs6 ft3NoNoNoNo1Pro & Farm828,333$664,799$828,333$664,799$0$0$No
Jesper BoqvistSan Diego Gulls (ANA)C/LW/RW251998-10-30No180 Lbs6 ft0NoNoNoNo1Pro & Farm2,000,000$1,605,150$2,000,000$1,605,150$0$0$NoLien
Jonas Johansson San Diego Gulls (ANA)G281995-09-19 02:50:28No220 Lbs6 ft4NoNoNoNo1Pro & Farm775,000$621,996$775,000$621,996$0$0$No
Joseph CramarossaSan Diego Gulls (ANA)C/LW/RW311992-10-26No193 Lbs6 ft1NoNoNoNo3Farm Only775,000$621,996$775,000$621,996$0$0$No775,000$775,000$Lien / Lien NHL
Karl Henriksson San Diego Gulls (ANA)C/RW222001-02-05 03:12:15Yes179 Lbs5 ft9NoNoNoNo2Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$
Keaton Thompson San Diego Gulls (ANA)D281995-09-14 03:41:11No194 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$642,060$800,000$642,060$0$0$No
Mackenzie MacEachernSan Diego Gulls (ANA)C/LW/RW291994-03-09No193 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$NoLien
Max JonesSan Diego Gulls (ANA)LW/RW251998-02-17No220 Lbs6 ft1NoNoNoNo3Pro & Farm1,295,000$1,039,335$1,295,000$1,039,335$0$0$No1,295,000$1,295,000$Lien
Maxwell CrozierSan Diego Gulls (ANA)D232000-04-19 04:55:20Yes185 Lbs6 ft2NoNoNoNo3Pro & Farm833,000$668,545$833,000$668,545$0$0$No833,000$833,000$
Mikey EyssimontSan Diego Gulls (ANA)LW271996-09-09No180 Lbs6 ft0NoNoNoNo3Pro & Farm750,000$601,931$750,000$601,931$0$0$No750,000$750,000$Lien
Pheonix CopleySan Diego Gulls (ANA)G311992-01-18No200 Lbs6 ft4NoNoNoNo2Pro & Farm825,000$662,124$825,000$662,124$0$0$No825,000$Lien
Robin SaloSan Diego Gulls (ANA)D251998-10-13 07:16:22No190 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$
Tucker PoolmanSan Diego Gulls (ANA)D301993-06-08No199 Lbs7 ft0NoNoNoNo1Farm Only3,800,000$3,049,785$3,800,000$3,049,785$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.52189 Lbs6 ft11.871,023,609$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Callahan BurkeMikey EyssimontMackenzie MacEachern35023
2Jesper BoqvistEthen FrankDryden Hunt30023
3Brent Gates JrJoseph CramarossaMax Jones20113
4Mikey EyssimontMackenzie MacEachernMax Jones15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin SaloTucker Poolman38122
2Corey SchuenemanIlya Solovyov32122
3Keaton Thompson Maxwell Crozier20122
4Corey SchuenemanTucker Poolman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesJoseph CramarossaMackenzie MacEachern60113
2Mikey EyssimontJesper BoqvistDryden Hunt40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanCorey Schueneman60113
2Robin SaloIlya Solovyov40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joseph CramarossaDryden Hunt60131
2Max JonesMackenzie MacEachern40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanCorey Schueneman60131
2Ilya SolovyovRobin Salo40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Max Jones60140Tucker PoolmanCorey Schueneman60140
2Joseph Cramarossa40140Maxwell CrozierKeaton Thompson 40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Max JonesJoseph Cramarossa60023
2Mackenzie MacEachernDryden Hunt40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanCorey Schueneman60122
2Keaton Thompson Maxwell Crozier40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntMax JonesJoseph CramarossaTucker PoolmanCorey Schueneman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntMax JonesJoseph CramarossaTucker PoolmanCorey Schueneman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Cramarossa, Max Jones, Dryden HuntJoseph Cramarossa, Max JonesJoseph Cramarossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Robin Salo, Corey SchuenemanCorey SchuenemanTucker Poolman, Corey Schueneman
Tirs de pénalité
Dryden Hunt, Max Jones, Joseph Cramarossa, Mackenzie MacEachern, Mikey Eyssimont
Gardien
#1 : Pheonix Copley, #2 : Jonas Johansson
Lignes d’attaque personnalisées en prolongation
Ethen Frank, Callahan Burke, Mackenzie MacEachern, Jesper Boqvist, Brent Gates Jr, Dryden Hunt, Dryden Hunt, Joseph Cramarossa, Danila Klimovich, Max Jones, Mikey Eyssimont
Lignes de défense personnalisées en prolongation
Tucker Poolman, Corey Schueneman, Ilya Solovyov, Keaton Thompson , Maxwell Crozier


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
1Bakersfield Condors1000000134-11000000134-10000000000010.50034700821175351281541592943180142150.00%000.00%017131254.81%15631449.68%8619145.03%294145307148320166
2Bridgeport Sound Tigers1000000123-1000000000001000000123-110.5002350082117535128154159291650144125.00%000.00%017131254.81%15631449.68%8619145.03%294145307148320166
3Chicago Wolves220000001248110000007341100000051441.000121931008211757512815415929582416326583.33%3166.67%017131254.81%15631449.68%8619145.03%294145307148320166
4Laval Rocket11000000404110000004040000000000021.00045901821175411281541592924131911100.00%20100.00%017131254.81%15631449.68%8619145.03%294145307148320166
5Ontario Reign2020000069-31010000034-11010000035-200.000610160082117557128154159297620628600.00%3233.33%017131254.81%15631449.68%8619145.03%294145307148320166
6San Antonio Rampage1010000001-1000000000001010000001-100.000000008211751612815415929257214300.00%10100.00%017131254.81%15631449.68%8619145.03%294145307148320166
7San Jose Barracuda200001105501000010023-11000001032130.75058130082117555128154159297920830200.00%40100.00%017131254.81%15631449.68%8619145.03%294145307148320166
8Stockton Heat21001000633100010003211100000031241.000691500821175481281541592947110294125.00%000.00%017131254.81%15631449.68%8619145.03%294145307148320166
9Texas Stars10001000431000000000001000100043121.00046100082117526128154159293270922100.00%000.00%017131254.81%15631449.68%8619145.03%294145307148320166
10Tucson Roadrunners22000000725110000003121100000041341.000712190082117568128154159297112262211545.45%30100.00%017131254.81%15631449.68%8619145.03%294145307148320166
Total15630211249341573101101251788320101124177210.7004976125018211754561281541592947113777203411536.59%16381.25%017131254.81%15631449.68%8619145.03%294145307148320166
_Since Last GM Reset15630211249341573101101251788320101124177210.7004976125018211754561281541592947113777203411536.59%16381.25%017131254.81%15631449.68%8619145.03%294145307148320166
_Vs Conference13530211143311262101101211747320101022148180.6924368111008211753801281541592943111958178361438.89%14378.57%017131254.81%15631449.68%8619145.03%294145307148320166
_Vs Division95302111322575210110118162432010101495181.0003250820082117527012815415929303933013320735.00%10370.00%017131254.81%15631449.68%8619145.03%294145307148320166

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1521W149761254564711377720301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
156321124934
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73111012517
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83210112417
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
411536.59%16381.25%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
12815415929821175
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
17131254.81%15631449.68%8619145.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
294145307148320166


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
1 - 2023-10-014Stockton Heat2San Diego Gulls3BWXSommaire du match
7 - 2023-10-0736Chicago Wolves3San Diego Gulls7BWSommaire du match
11 - 2023-10-1160San Diego Gulls3San Jose Barracuda2AWXXSommaire du match
13 - 2023-10-1372Laval Rocket0San Diego Gulls4BWSommaire du match
19 - 2023-10-19100Bakersfield Condors4San Diego Gulls3BLXXSommaire du match
23 - 2023-10-23117San Diego Gulls5Chicago Wolves1AWSommaire du match
25 - 2023-10-25131San Diego Gulls0San Antonio Rampage1ALSommaire du match
26 - 2023-10-26138Tucson Roadrunners1San Diego Gulls3BWSommaire du match
29 - 2023-10-29154San Diego Gulls4Tucson Roadrunners1AWSommaire du match
31 - 2023-10-31165Ontario Reign4San Diego Gulls3BLSommaire du match
33 - 2023-11-02179San Diego Gulls3Ontario Reign5ALSommaire du match
35 - 2023-11-04191San Diego Gulls2Bridgeport Sound Tigers3ALXXSommaire du match
37 - 2023-11-06200San Diego Gulls3Stockton Heat1AWSommaire du match
40 - 2023-11-09212San Jose Barracuda3San Diego Gulls2BLXSommaire du match
44 - 2023-11-13233San Diego Gulls4Texas Stars3AWXSommaire du match
47 - 2023-11-16246Iowa Wild-San Diego Gulls-
51 - 2023-11-20266San Diego Gulls-Laval Rocket-
55 - 2023-11-24280Milwaukee Admirals-San Diego Gulls-
57 - 2023-11-26291San Diego Gulls-Rockford IceHogs-
59 - 2023-11-28301San Diego Gulls-Syracuse Crunch-
61 - 2023-11-30313Milwaukee Admirals-San Diego Gulls-
64 - 2023-12-03330San Diego Gulls-Manitoba Moose-
66 - 2023-12-05342Cleveland Monsters-San Diego Gulls-
69 - 2023-12-08355San Diego Gulls-Utica Comets -
72 - 2023-12-11371San Diego Gulls-Bakersfield Condors-
73 - 2023-12-12379Stockton Heat-San Diego Gulls-
78 - 2023-12-17406San Antonio Rampage-San Diego Gulls-
80 - 2023-12-19425San Diego Gulls-Texas Stars-
82 - 2023-12-21434San Diego Gulls-Bakersfield Condors-
83 - 2023-12-22444Bridgeport Sound Tigers-San Diego Gulls-
88 - 2023-12-27470Palm Springs -San Diego Gulls-
94 - 2024-01-02498Texas Stars-San Diego Gulls-
96 - 2024-01-04507San Diego Gulls-Toronto Marlies-
101 - 2024-01-09529Tucson Roadrunners-San Diego Gulls-
104 - 2024-01-12542San Diego Gulls-Hershey Bears-
107 - 2024-01-15557San Diego Gulls-Tulsa Oilers -
108 - 2024-01-16566Manitoba Moose-San Diego Gulls-
113 - 2024-01-21593Tulsa Oilers -San Diego Gulls-
115 - 2024-01-23606San Diego Gulls-Bridgeport Sound Tigers-
117 - 2024-01-25615San Diego Gulls-Charlotte Checkers-
120 - 2024-01-28629Texas Stars-San Diego Gulls-
122 - 2024-01-30645San Diego Gulls-Iowa Wild-
124 - 2024-02-01659San Diego Gulls-Tucson Roadrunners-
126 - 2024-02-03667Bakersfield Condors-San Diego Gulls-
129 - 2024-02-06685San Diego Gulls-Cleveland Monsters-
132 - 2024-02-09698Grand Rapids Griffins-San Diego Gulls-
136 - 2024-02-13721San Diego Gulls-Grand Rapids Griffins-
138 - 2024-02-15732San Diego Gulls-Ontario Reign-
139 - 2024-02-16736Wilkes-Barre/Scranton Penguins -San Diego Gulls-
143 - 2024-02-20761Utica Comets -San Diego Gulls-
148 - 2024-02-25788San Diego Gulls-Chicago Wolves-
150 - 2024-02-27796Hartford Wolf Pack-San Diego Gulls-
152 - 2024-02-29812San Diego Gulls-San Antonio Rampage-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2024-03-03827Charlotte Checkers-San Diego Gulls-
160 - 2024-03-08851San Diego Gulls-San Jose Barracuda-
161 - 2024-03-09858Ontario Reign-San Diego Gulls-
164 - 2024-03-12870San Diego Gulls-Milwaukee Admirals-
168 - 2024-03-16890Belleville Senators-San Diego Gulls-
173 - 2024-03-21915Lehigh Valley Phantoms-San Diego Gulls-
175 - 2024-03-23927San Diego Gulls-Rochester Americans -
180 - 2024-03-28947San Diego Gulls-Hartford Wolf Pack-
181 - 2024-03-29956Chicago Wolves-San Diego Gulls-
184 - 2024-04-01965San Diego Gulls-Stockton Heat-
189 - 2024-04-06989Stockton Heat-San Diego Gulls-
192 - 2024-04-091008San Diego Gulls-Binghamton Devils-
195 - 2024-04-121021San Jose Barracuda-San Diego Gulls-
197 - 2024-04-141030San Diego Gulls-Iowa Wild-
201 - 2024-04-181049San Antonio Rampage-San Diego Gulls-
206 - 2024-04-231080Palm Springs -San Diego Gulls-
210 - 2024-04-271101San Diego Gulls-Palm Springs -
212 - 2024-04-291112Providence Bruins -San Diego Gulls-
217 - 2024-05-041138Rockford IceHogs-San Diego Gulls-
222 - 2024-05-091166Rockford IceHogs-San Diego Gulls-
225 - 2024-05-121179San Diego Gulls-Springfield Thunderbirds-
226 - 2024-05-131186San Diego Gulls-Palm Springs -
231 - 2024-05-181208Laval Rocket-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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 joueursSalaire total moyen des joueursSalaire des entraineurs
626,740$ 2,354,300$ 2,354,300$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,104$ 429,311$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 14,396$ 2,692,052$




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