Connexion

San Diego Gulls
GP: 27 | W: 7 | L: 16 | OTL: 4 | P: 18
GF: 61 | GA: 87 | PP%: 25.53% | PK%: 77.97%
DG: Michael Bollentin | Morale : 60 | Moyenne d’équipe : 51
Prochains matchs #425 vs Coachella Valley Firebirds
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Centre de jeu
Tucson Roadrunners
15-10-1, 31pts
4
FINAL
1 San Diego Gulls
7-16-4, 18pts
Team Stats
OTL1StreakL4
10-3-0Home Record5-7-1
5-7-1Away Record2-9-3
6-3-1Last 10 Games1-8-1
2.65Buts par match 2.26
2.19Buts contre par match 3.22
22.22%Pourcentage en avantage numérique25.53%
85.25%Pourcentage en désavantage numérique77.97%
San Diego Gulls
7-16-4, 18pts
2
FINAL
4 Texas Stars
8-12-4, 20pts
Team Stats
L4StreakW1
5-7-1Home Record7-5-2
2-9-3Away Record1-7-2
1-8-1Last 10 Games3-6-1
2.26Buts par match 2.63
3.22Buts contre par match 3.08
25.53%Pourcentage en avantage numérique18.18%
77.97%Pourcentage en désavantage numérique83.33%
San Diego Gulls
7-16-4, 18pts
2022-12-14
Coachella Valley Firebirds
12-13-0, 24pts
Statistiques d’équipe
L4SéquenceW4
5-7-1Fiche domicile6-7-0
2-9-3Fiche visiteur6-6-0
1-8-110 derniers matchs7-3-0
2.26Buts par match 2.00
3.22Buts contre par match 2.00
25.53%Pourcentage en avantage numérique20.45%
77.97%Pourcentage en désavantage numérique79.17%
San Jose Barracuda
16-8-3, 35pts
2022-12-16
San Diego Gulls
7-16-4, 18pts
Statistiques d’équipe
W2SéquenceL4
9-3-1Fiche domicile5-7-1
7-5-2Fiche visiteur2-9-3
6-3-110 derniers matchs1-8-1
3.81Buts par match 2.26
2.78Buts contre par match 2.26
22.22%Pourcentage en avantage numérique25.53%
86.44%Pourcentage en désavantage numérique77.97%
San Diego Gulls
7-16-4, 18pts
2022-12-18
Manitoba Moose
16-7-3, 35pts
Statistiques d’équipe
L4SéquenceL1
5-7-1Fiche domicile10-3-1
2-9-3Fiche visiteur6-4-2
1-8-110 derniers matchs6-2-2
2.26Buts par match 2.77
3.22Buts contre par match 2.77
25.53%Pourcentage en avantage numérique23.44%
77.97%Pourcentage en désavantage numérique77.55%
Meneurs d'équipe
Buts
Nolan Foote
16
Passes
Trey Fix-Wolansky
17
Points
Nolan Foote
29
Plus/Moins
Trey Fix-Wolansky
5
Victoires
Joey Daccord
6
Pourcentage d’arrêts
Filip Lindberg
0.938

Statistiques d’équipe
Buts pour
61
2.26 GFG
Tirs pour
580
21.48 Avg
Pourcentage en avantage numérique
25.5%
12 GF
Début de zone offensive
34.9%
Buts contre
87
3.22 GAA
Tirs contre
794
29.41 Avg
Pourcentage en désavantage numérique
78.0%%
13 GA
Début de la zone défensive
43.1%
Informations de l'équipe

Directeur généralMichael Bollentin
EntraîneurCraig Hartsburg
DivisionPacific
ConférenceWestern Conference
CapitaineNicolas Beaudin
Assistant #1Nolan Foote
Assistant #2Axel Andersson


Informations de l’aréna

Capacité8,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 40
Espoirs0


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 SP
1Nolan Foote (A)26X100.00565864596864635855575864545553060600
2Trey Fix-Wolansky (R)18X100.00565763635764635955575861545754060590
3Sam Colangelo (R)27X100.00454545454545454545454545454545060450
4Cutter Gauthier (R)79X100.00454545454545454545454545454545060450
5Dylan Guenther (R)81X100.00454545454545454545454545454545060450
6Tyler Boucher (R)80X100.00454545454545454545454545454545060450
7Matthew Samoskevich (R)83X100.00454545454545454545454545454545060450
8John Beecher (R)82X100.00454545454545454545454545454545060450
9Olli Juolevi53X100.00634085626466605240635576545558060640
10Ian Mitchell (R)52X100.00555567595864635940585762585754060590
11Nicolas Beaudin (R) (C)56X100.00565563595766655640565561545754060590
12Axel Andersson (A)50X100.00555567566060595540555562545553060580
13Kaiden Guhle (R)54X100.00454545454545454545454545454545060450
14Nolan Allan (R)57X100.00454545454545454545454545454545060450
15Jackson LaCombe (R)51X100.00454545454545454545454545454545060450
16Lian Bichsel (R)78X100.00454545454545454545454545454545060450
17Michael Buchinger (R)85X100.00454545454545454545454545454545060450
Rayé
1Oskar Pettersson (R)86X100.00454545454545454545454545454545060450
MOYENNE D’ÉQUIPE100.0049485350505151494549495148494806050
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 SP
1Joey Daccord (R)30100.0063646464665567636260596458060630
2Filip Lindberg (R)37100.0056565661635466566457665854060590
Rayé
MOYENNE D’ÉQUIPE100.006060606365556760635963615606061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Hartsburg75757575757575CAN6040$


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
1Nolan FooteSan Diego Gulls (ANA)LW2716132931154380108199314.81%1061622.8351617400000492049.08%32600000.9401001322
2Trey Fix-WolanskySan Diego Gulls (ANA)RW27101727560466997366810.31%1061522.7914513400001501038.64%4400000.8801000240
3Nicolas BeaudinSan Diego Gulls (ANA)D2721719-4604750367265.56%2250418.701561334101243100.00%000000.7500000102
4Axel AnderssonSan Diego Gulls (ANA)D278715-6100445139112320.51%2349318.293361434000041100.00%000000.6100000000
5Olli JuoleviSan Diego Gulls (ANA)D2741014-710033444614218.70%5452419.41134193900004601100.00%100000.5300000210
6Ian MitchellSan Diego Gulls (ANA)D273710-56033454213297.14%2451719.1803314390000480150.00%200100.3900000101
7Jackson LaCombeSan Diego Gulls (ANA)D27178180251252420.00%192549.420000000000000.00%000000.6300000000
8Cutter GauthierSan Diego Gulls (ANA)LW27336-74027242621711.54%353519.820001300000340031.82%4400000.2200000001
9Dylan GuentherSan Diego Gulls (ANA)RW27516-2018034253271615.63%844716.5900017000021047.22%3600000.2700000001
10Matthew SamoskevichSan Diego Gulls (ANA)C27156-9803656286193.57%248918.15011131000010041.01%53400000.2400000002
11Oskar PetterssonSan Diego Gulls (ANA)RW26055-131552720197140.00%645817.6301102000000034.38%3200000.2200001000
12Nolan AllanSan Diego Gulls (ANA)D27224-13404013164812.50%1638514.26000030110111025.00%400000.2100000001
13Lian BichselSan Diego Gulls (ANA)D25224140251372228.57%162319.280000000000000.00%000000.3400000000
14Sam ColangeloSan Diego Gulls (ANA)RW27123-9403225249164.17%251919.250003310000220141.07%5600000.1201000000
15Tyler BoucherSan Diego Gulls (ANA)C271233401544104810.00%149418.301011380110220040.68%49900000.1200000000
16John BeecherSan Diego Gulls (ANA)C27033-202353946236280.00%344216.3900005000070037.05%44800000.1400001000
17Michael BuchingerSan Diego Gulls (ANA)D27202-141204525123616.67%2137113.7500000000010000.00%000000.1100000000
18Kaiden GuhleSan Diego Gulls (ANA)D27011-100455210.00%1642.4100003000050055.56%900000.3100000000
Statistiques d’équipe totales ou en moyenne48361104165-1151531559564757515439910.61%241796816.501221339738412333987341.18%203500100.41030039710
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
1Joey DaccordSan Diego Gulls (ANA)2661640.8893.21155401837460000.6673261101
2Filip LindbergSan Diego Gulls (ANA)21000.9382.2580003480000.00%0126000
Statistiques d’équipe totales ou en moyenne2871640.8923.161634018679400032727101


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 Contrat Type Salaire actuel Plafond 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
Axel AnderssonSan Diego Gulls (ANA)D222000-02-10No179 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLien
Cutter GauthierSan Diego Gulls (ANA)LW182004-01-19 2:48:23 AMYes189 Lbs6 ft2NoNoNo3Pro & Farm0$0$No
Dylan GuentherSan Diego Gulls (ANA)RW192003-04-10 10:43:39 AMYes181 Lbs6 ft1NoNoNo3Pro & Farm0$0$No
Filip LindbergSan Diego Gulls (ANA)G231999-01-31Yes194 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLien
Ian MitchellSan Diego Gulls (ANA)D231999-01-18Yes174 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLien
Jackson LaCombeSan Diego Gulls (ANA)D212001-01-09Yes171 Lbs6 ft1NoNoNo3Pro & Farm0$0$No
Joey DaccordSan Diego Gulls (ANA)G261996-08-19Yes196 Lbs6 ft2NoNoNo2Pro & Farm0$0$NoLien
John BeecherSan Diego Gulls (ANA)C212001-04-05Yes212 Lbs6 ft3NoNoNo3Pro & Farm0$0$No
Kaiden GuhleSan Diego Gulls (ANA)D202002-01-18Yes209 Lbs6 ft3NoNoNo3Pro & Farm0$0$NoLien
Lian BichselSan Diego Gulls (ANA)D182004-05-18 3:10:38 AMYes216 Lbs6 ft5NoNoNo3Pro & Farm0$0$No
Matthew SamoskevichSan Diego Gulls (ANA)C202002-11-15 10:05:05 AMYes190 Lbs5 ft11NoNoNo3Pro & Farm0$0$No
Michael BuchingerSan Diego Gulls (ANA)D182004-04-25 2:29:22 AMYes185 Lbs6 ft0NoNoNo3Pro & Farm0$0$No
Nicolas BeaudinSan Diego Gulls (ANA)D231999-10-07Yes168 Lbs5 ft11NoNoNo3Pro & Farm0$0$NoLien
Nolan AllanSan Diego Gulls (ANA)D192003-04-28 8:49:57 AMYes194 Lbs6 ft2NoNoNo3Pro & Farm0$0$No
Nolan FooteSan Diego Gulls (ANA)LW222000-11-29No201 Lbs6 ft4NoNoNo3Pro & Farm0$0$NoLien
Olli JuoleviSan Diego Gulls (ANA)D241998-05-05No182 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLien
Oskar PetterssonSan Diego Gulls (ANA)RW182004-02-04 9:45:18 AMYes198 Lbs6 ft2NoNoNo3Pro & Farm0$0$No
Sam ColangeloSan Diego Gulls (ANA)RW212001-09-17 7:45:25 AMYes190 Lbs6 ft0NoNoNo3Pro & Farm0$0$No
Trey Fix-WolanskySan Diego Gulls (ANA)RW231999-05-26Yes179 Lbs5 ft7NoNoNo1Pro & Farm0$0$NoLien
Tyler BoucherSan Diego Gulls (ANA)C192003-01-16 10:00:41 AMYes205 Lbs6 ft1NoNoNo3Pro & Farm0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2020.90191 Lbs6 ft12.450$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan FooteTyler BoucherTrey Fix-Wolansky30122
2Cutter GauthierMatthew SamoskevichSam Colangelo30122
3John BeecherDylan Guenther25122
4Trey Fix-WolanskyNolan Foote15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell30122
2Nicolas BeaudinAxel Andersson30122
3Michael BuchingerNolan Allan25122
4Jackson LaCombeLian Bichsel15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan FooteTyler BoucherTrey Fix-Wolansky60122
2Cutter GauthierMatthew SamoskevichSam Colangelo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell60122
2Nicolas BeaudinAxel Andersson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nolan FooteTrey Fix-Wolansky60122
2Sam ColangeloCutter Gauthier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell60122
2Nicolas BeaudinAxel Andersson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nolan Foote60122Olli JuoleviIan Mitchell60122
2Trey Fix-Wolansky40122Nicolas BeaudinAxel Andersson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nolan FooteTrey Fix-Wolansky60122
2Sam ColangeloCutter Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell60122
2Nicolas BeaudinAxel Andersson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteTyler BoucherTrey Fix-WolanskyOlli JuoleviIan Mitchell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteTyler BoucherTrey Fix-WolanskyOlli JuoleviIan Mitchell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Guenther, John Beecher, Tyler BoucherDylan Guenther, John BeecherTyler Boucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaiden Guhle, Michael Buchinger, Nolan AllanKaiden GuhleMichael Buchinger, Nolan Allan
Tirs de pénalité
Nolan Foote, Trey Fix-Wolansky, Sam Colangelo, Cutter Gauthier, Dylan Guenther
Gardien
#1 : Joey Daccord, #2 : Filip Lindberg
Lignes d’attaque personnalisées en prolongation
Nolan Foote, Trey Fix-Wolansky, Sam Colangelo, Cutter Gauthier, Dylan Guenther, Tyler Boucher, Tyler Boucher, , Matthew Samoskevich, John Beecher,
Lignes de défense personnalisées en prolongation
Olli Juolevi, Ian Mitchell, Nicolas Beaudin, Axel Andersson, Michael Buchinger


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 Condors1010000014-31010000014-30000000000000.0001230023162111920117419711259227100.00%110.00%028770240.88%34586939.70%20844346.95%577380694205363172
2Calgary Wranglers2110000047-3110000004221010000005-520.500459002316211462011741971168201249300.00%5260.00%028770240.88%34586939.70%20844346.95%577380694205363172
3Cleveland Monsters1010000023-11010000023-10000000000000.000235002316211172011741971124568000.00%2150.00%028770240.88%34586939.70%20844346.95%577380694205363172
4Colorado Eagles3120000046-22020000026-41100000020220.33348120123162116520117419711781212734125.00%5180.00%028770240.88%34586939.70%20844346.95%577380694205363172
5Grand Rapids Griffins11000000431110000004310000000000021.0004711002316211242011741971128100212150.00%000.00%028770240.88%34586939.70%20844346.95%577380694205363172
6Hartford Wolf Pack1010000006-6000000000001010000006-600.000000002316211920117419711397225100.00%10100.00%028770240.88%34586939.70%20844346.95%577380694205363172
7Henderson Silver Knights210010001055100010005411100000051441.0001016260023162117920117419711491736366233.33%60100.00%128770240.88%34586939.70%20844346.95%577380694205363172
8Hershey Bears11000000413110000004130000000000021.000481200231621129201174197111340225240.00%000.00%028770240.88%34586939.70%20844346.95%577380694205363172
9Iowa Wild1010000023-1000000000001010000023-100.000235002316211112011741971143161025200.00%5180.00%028770240.88%34586939.70%20844346.95%577380694205363172
10Manitoba Moose2000020024-2000000000002000020024-220.500246002316211362011741971150231236400.00%6183.33%028770240.88%34586939.70%20844346.95%577380694205363172
11Milwaukee Admirals1010000034-1000000000001010000034-100.0003690023162112620117419711291122611100.00%110.00%028770240.88%34586939.70%20844346.95%577380694205363172
12Ontario Reign1010000034-11010000034-10000000000000.00034700231621125201174197113313433100.00%20100.00%028770240.88%34586939.70%20844346.95%577380694205363172
13Rochester Americans1010000024-21010000024-20000000000000.0002350023162111720117419711371442211100.00%20100.00%028770240.88%34586939.70%20844346.95%577380694205363172
14Springfield Thunderbirds2020000058-3000000000002020000058-300.00059140023162113820117419711592114324125.00%7271.43%028770240.88%34586939.70%20844346.95%577380694205363172
15Texas Stars21100000660110000004221010000024-220.500611170023162114420117419711541515395120.00%5180.00%028770240.88%34586939.70%20844346.95%577380694205363172
16Toronto Marlies1000000123-11000000123-10000000000010.50024600231621122201174197113312429000.00%20100.00%028770240.88%34586939.70%20844346.95%577380694205363172
17Tucson Roadrunners30200100511-61010000014-32010010047-310.16759140023162114620117419711962016744125.00%7271.43%028770240.88%34586939.70%20844346.95%577380694205363172
18Wilkes-Barre/Scranton Penguins1010000025-3000000000001010000025-300.000235002316211272011741971136154233133.33%20100.00%028770240.88%34586939.70%20844346.95%577380694205363172
Total27616013016187-261347010013440-61429003002747-20180.3336110516601231621158020117419711794244155600471225.53%591377.97%128770240.88%34586939.70%20844346.95%577380694205363172
_Since Last GM Reset27616013016187-261347010013440-61429003002747-20180.3336110516601231621158020117419711794244155600471225.53%591377.97%128770240.88%34586939.70%20844346.95%577380694205363172
_Vs Conference19510013004457-13935010002429-51025003002028-8150.39544751190123162114212011741971155316612143933721.21%431076.74%128770240.88%34586939.70%20844346.95%577380694205363172
_Vs Division637011001820-2415010001314-12220010056-190.75018274500231621116920117419711175595414511218.18%14378.57%128770240.88%34586939.70%20844346.95%577380694205363172

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2718L46110516658079424415560001
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2761613016187
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
134710013440
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
142903002747
Derniers 10 matchs
WLOTWOTL SOWSOL
180100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
471225.53%591377.97%1
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
201174197112316211
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
28770240.88%34586939.70%20844346.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
577380694205363172


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
3 - 2022-10-1920Toronto Marlies3San Diego Gulls2BLXXSommaire du match
5 - 2022-10-2138Bakersfield Condors4San Diego Gulls1BLSommaire du match
7 - 2022-10-2359San Diego Gulls1Manitoba Moose2ALXSommaire du match
9 - 2022-10-2573Calgary Wranglers2San Diego Gulls4BWSommaire du match
12 - 2022-10-2892San Diego Gulls1Manitoba Moose2ALXSommaire du match
14 - 2022-10-30102Henderson Silver Knights4San Diego Gulls5BWXSommaire du match
16 - 2022-11-01119San Diego Gulls5Henderson Silver Knights1AWSommaire du match
17 - 2022-11-02131San Diego Gulls0Calgary Wranglers5ALSommaire du match
20 - 2022-11-05146Grand Rapids Griffins3San Diego Gulls4BWSommaire du match
22 - 2022-11-07167Cleveland Monsters3San Diego Gulls2BLSommaire du match
23 - 2022-11-08177San Diego Gulls0Hartford Wolf Pack6ALSommaire du match
27 - 2022-11-12196San Diego Gulls3Springfield Thunderbirds4ALSommaire du match
28 - 2022-11-13207Colorado Eagles3San Diego Gulls1BLSommaire du match
31 - 2022-11-16230Ontario Reign4San Diego Gulls3BLSommaire du match
33 - 2022-11-18239San Diego Gulls2Tucson Roadrunners4ALSommaire du match
35 - 2022-11-20259San Diego Gulls2Colorado Eagles0AWSommaire du match
36 - 2022-11-21269Hershey Bears1San Diego Gulls4BWSommaire du match
39 - 2022-11-24287San Diego Gulls3Milwaukee Admirals4ALSommaire du match
41 - 2022-11-26299San Diego Gulls2Tucson Roadrunners3ALXSommaire du match
43 - 2022-11-28313Colorado Eagles3San Diego Gulls1BLSommaire du match
45 - 2022-11-30332San Diego Gulls2Springfield Thunderbirds4ALSommaire du match
47 - 2022-12-02340San Diego Gulls2Iowa Wild3ALSommaire du match
48 - 2022-12-03349Texas Stars2San Diego Gulls4BWSommaire du match
51 - 2022-12-06372Rochester Americans4San Diego Gulls2BLSommaire du match
53 - 2022-12-08385San Diego Gulls2Wilkes-Barre/Scranton Penguins5ALSommaire du match
55 - 2022-12-10401Tucson Roadrunners4San Diego Gulls1BLSommaire du match
57 - 2022-12-12417San Diego Gulls2Texas Stars4ALSommaire du match
59 - 2022-12-14425San Diego Gulls-Coachella Valley Firebirds-
61 - 2022-12-16438San Jose Barracuda-San Diego Gulls-
63 - 2022-12-18460San Diego Gulls-Manitoba Moose-
65 - 2022-12-20470Calgary Wranglers-San Diego Gulls-
68 - 2022-12-23491San Diego Gulls-Rockford IceHogs-
70 - 2022-12-25506Coachella Valley Firebirds-San Diego Gulls-
73 - 2022-12-28530Utica Comets-San Diego Gulls-
77 - 2023-01-01556San Diego Gulls-Hartford Wolf Pack-
78 - 2023-01-02565Rockford IceHogs-San Diego Gulls-
81 - 2023-01-05586Ontario Reign-San Diego Gulls-
84 - 2023-01-08601San Diego Gulls-Bridgeport Islanders-
86 - 2023-01-10620Belleville Senators-San Diego Gulls-
89 - 2023-01-13640San Diego Gulls-Lehigh Valley Phantoms-
90 - 2023-01-14654Iowa Wild-San Diego Gulls-
93 - 2023-01-17675Springfield Thunderbirds-San Diego Gulls-
95 - 2023-01-19691San Diego Gulls-Charlotte Checkers-
97 - 2023-01-21709San Jose Barracuda-San Diego Gulls-
99 - 2023-01-23725San Diego Gulls-Syracuse Crunch-
102 - 2023-01-26741San Diego Gulls-Colorado Eagles-
104 - 2023-01-28752Tucson Roadrunners-San Diego Gulls-
106 - 2023-01-30775Syracuse Crunch-San Diego Gulls-
111 - 2023-02-04804Milwaukee Admirals-San Diego Gulls-
113 - 2023-02-06816San Diego Gulls-Chicago Wolves-
115 - 2023-02-08830San Diego Gulls-Laval Rocket-
116 - 2023-02-09841Toronto Marlies-San Diego Gulls-
119 - 2023-02-12866San Diego Gulls-Coachella Valley Firebirds-
120 - 2023-02-13873Manitoba Moose-San Diego Gulls-
124 - 2023-02-17900Chicago Wolves-San Diego Gulls-
125 - 2023-02-18907San Diego Gulls-Calgary Wranglers-
128 - 2023-02-21923San Diego Gulls-Hershey Bears-
130 - 2023-02-23937Abbotsford Canucks-San Diego Gulls-
132 - 2023-02-25954San Diego Gulls-San Jose Barracuda-
134 - 2023-02-27968Providence Bruins-San Diego Gulls-
135 - 2023-02-28978San Diego Gulls-Calgary Wranglers-
138 - 2023-03-03998Rochester Americans-San Diego Gulls-
140 - 2023-03-051018San Diego Gulls-Grand Rapids Griffins-
142 - 2023-03-071029San Diego Gulls-Ontario Reign-
144 - 2023-03-091039Cleveland Monsters-San Diego Gulls-
148 - 2023-03-131063San Diego Gulls-Bakersfield Condors-
149 - 2023-03-141070Coachella Valley Firebirds-San Diego Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2023-03-171095Toronto Marlies-San Diego Gulls-
154 - 2023-03-191113San Diego Gulls-San Jose Barracuda-
156 - 2023-03-211126San Diego Gulls-Henderson Silver Knights-
157 - 2023-03-221134Grand Rapids Griffins-San Diego Gulls-
160 - 2023-03-251155San Diego Gulls-Henderson Silver Knights-
161 - 2023-03-261163Grand Rapids Griffins-San Diego Gulls-
165 - 2023-03-301189San Diego Gulls-Ontario Reign-
166 - 2023-03-311197Bakersfield Condors-San Diego Gulls-
168 - 2023-04-021216San Diego Gulls-Providence Bruins-
169 - 2023-04-031220San Diego Gulls-Bakersfield Condors-
171 - 2023-04-051239Bakersfield Condors-San Diego Gulls-
175 - 2023-04-091263Henderson Silver Knights-San Diego Gulls-
180 - 2023-04-141287Henderson Silver Knights-San Diego Gulls-
181 - 2023-04-151294San Diego Gulls-Bridgeport Islanders-
182 - 2023-04-161298San Diego Gulls-Toronto Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité45003500
Prix des billets350
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 0 - 0.00% 0$0$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 127 0$ 0$




San Diego Gulls Leaders statistiques (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 (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