Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

San Diego Gulls
GP: 6 | W: 2 | L: 4
GF: 16 | GA: 23 | PP%: 0.00% | PK%: 80.00%
DG: Mark | Morale : 24 | Moyenne d’équipe : 56
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
San Diego Gulls
2-4-0, 4pts
5
FINAL
4 Hartford Wolf Pack
16-7-0, 32pts
Team Stats
L1StreakW1
1-2-0Home Record10-3-0
1-2-0Away Record6-4-0
2-4-0Last 10 Games7-3-0
2.67Buts par match 3.43
3.83Buts contre par match 2.52
0.00%Pourcentage en avantage numérique31.25%
80.00%Pourcentage en désavantage numérique85.71%
Hartford Wolf Pack
16-7-0, 32pts
5
FINAL
3 San Diego Gulls
2-4-0, 4pts
Team Stats
W1StreakL1
10-3-0Home Record1-2-0
6-4-0Away Record1-2-0
7-3-0Last 10 Games2-4-0
3.43Buts par match 2.67
2.52Buts contre par match 3.83
31.25%Pourcentage en avantage numérique0.00%
85.71%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Kyle Olson
3
Passes
Helge Grans
5
Points
Kyle Olson
5
Plus/Moins
Joakim Andersson
2
Victoires
Dylan Wells
2
Pourcentage d’arrêts
Eetu Makiniemi
0.973

Statistiques d’équipe
Buts pour
16
2.67 GFG
Tirs pour
209
34.83 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
31.2%
Buts contre
23
3.83 GAA
Tirs contre
253
42.17 Avg
Pourcentage en désavantage numérique
80.0%%
1 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralMark
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 Pro28
Équipe Mineure20
Limite contact 48 / 65
Espoirs61


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
1Joakim Andersson0X100.00633575756270694851535348536048074550344750,000$
2Adam Beckman (R)0X100.00503577826067705450455057555358073550225894,167$
3Carsen Twarynski (R)0X100.00643575795470704854535152476048073550252750,000$
4Simon Holmstrom (R)0X100.00643575746465675252465452506048073540223863,333$
5Kyle Olson (R)0X100.00543575765366665352524654546048073540241750,000$
6Roby Jarventie (R)0X100.00583575705868694846555152486048068540203925,000$
7Ryan White0XXX100.005035757161696551484752494760480765303514,000,000$
8Joakim Nordstrom0XXX100.00603575706565705254484651536048073530311750,000$
9Jakub Lauko (R)0X100.00643575715365684648465547496048073520231764,167$
10Johan Sodergran (R)0XXX100.00563575726270705148504545556048073520231750,000$
11Brent Raedeke0XX100.00483575696947445341494657505857073520332750,000$
12Nathan Legare (R)0X100.00555555555555555555555555555555073520223789,167$
13Vitaly Abramov (R)0XX100.005835757165657055484646465460480735202522,500,000$
14Jonathan Dugan (R)0X100.00505050505050505050505050505050065480251750,000$
15Mathias Emilio Pettersen (R)0X100.00505050505050505050505050505050073480231903,333$
16John Gilmour0X100.00543575715858635255534557407358072560301750,000$
17Helge Grans (R)0X100.00523575716464665553494955407358072560215870,000$
18Roman Polak0X100.005435756960556750535047574073580735603713,500,000$
19Brennan Menell (R)0X100.00643575695759704549495254407358073560261750,000$
20Luke Green (R)0X100.005035757154606947534753584073580735602522,500,000$
21Filip Berglund (R)0X100.00603575685465614545554553407358073550263817,500$
22Kenton Helgsen0XX100.005555555555555555555565555555550765402914,500,000$
23Michael Vukojevic (R)0X100.00533575746350644853494651407358073540223850,833$
24Klas Dahlbeck0X100.00503575695656684549454854407358073540314750,000$
Rayé
MOYENNE D’ÉQUIPE100.0056387169586164505150505248635307354
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
1Dylan Wells (R)0100.0075757586857371747069457072063730252750,000$
2Eetu Makiniemi (R)0100.0075757582877168717267476969076720243867,500$
Rayé
1Mikhail Berdin (R)0100.0075757582847069747165486669022710251750,000$
2Arvid Holm (R)0100.0075757587857066746770466768022710243845,833$
MOYENNE D’ÉQUIPE100.007575758485716973706847687004672
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
1Kyle OlsonSan Diego Gulls (ANA)C6325-50099203515.00%511118.6500000000000037.86%10375000.8900000100
2Joakim AnderssonSan Diego Gulls (ANA)C63252007621101214.29%512320.5100001000040039.05%16946000.8100000100
3Helge GransSan Diego Gulls (ANA)D6055-300596220.00%914524.280000100005000.00%016000.6900000000
4Ryan WhiteSan Diego Gulls (ANA)C/LW/RW6134-1557115396.67%38313.8900000000000041.86%4351000.9600100000
5Joakim NordstromSan Diego Gulls (ANA)C/LW/RW6224-10087175711.76%58313.9600000000001140.00%511000.9600000010
6Carsen TwarynskiSan Diego Gulls (ANA)LW62242001281991610.53%411919.8800001000010022.22%9146000.6700000010
7Kenton HelgsenSan Diego Gulls (ANA)LW/D6213-15587113918.18%28414.030000100000100.00%222000.7100100001
8Adam BeckmanSan Diego Gulls (ANA)LW6033-54059162130.00%711318.9300000000010020.00%553000.5300000000
9Roby JarventieSan Diego Gulls (ANA)LW603300081421370.00%714424.1500000000000016.67%18510000.4100000001
10Simon HolmstromSan Diego Gulls (ANA)RW6022-520251113350.00%211519.2300000000030033.33%675000.3500000000
11Brent RaedekeSan Diego Gulls (ANA)C/LW6202-2001662833.33%1437.2800000000000033.33%2114000.9200000000
12John GilmourSan Diego Gulls (ANA)D6011-3006613220.00%1013823.120000000000000.00%0212000.1400000000
13Filip BerglundSan Diego Gulls (ANA)D6101-5209560116.67%1313823.040000000000000.00%007000.1400000000
14Nathan LegareSan Diego Gulls (ANA)RW6011-2006310220.00%0437.3100000000000075.00%420000.4600000000
15Brennan MenellSan Diego Gulls (ANA)D6011200222220.00%78514.210000100003000.00%003000.2300000000
16Jonathan DuganSan Diego Gulls (ANA)LW6000000100000.00%020.350000000001000.00%000000.00%00000000
17Jakub LaukoSan Diego Gulls (ANA)LW6000000110000.00%071.25000000000200100.00%100000.00%00000000
18Mathias Emilio PettersenSan Diego Gulls (ANA)C6000000100000.00%010.290000000001000.00%000000.00%00000000
19Johan SodergranSan Diego Gulls (ANA)C/LW/RW6000000000000.00%050.990000000000000.00%000000.00%00000000
20Michael VukojevicSan Diego Gulls (ANA)D6000000000000.00%020.440000000000000.00%000000.00%00000000
21Roman PolakSan Diego Gulls (ANA)D6000200058000.00%38614.430000000005000.00%005000.00%00000000
22Klas DahlbeckSan Diego Gulls (ANA)D6000000030000.00%2366.060000000000000.00%002000.00%00000000
23Luke GreenSan Diego Gulls (ANA)D6000-500285330.00%910818.090000000003000.00%008000.00%00000000
24Vitaly AbramovSan Diego Gulls (ANA)LW/RW6000000100010.00%0203.3700000000000050.00%200000.00%00000000
Statistiques d’équipe totales ou en moyenne144162844-301810124120209541047.66%94184612.82000090000322137.37%3885686000.4800200222
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
1Dylan WellsSan Diego Gulls (ANA)62400.8984.422992022216111000.00%060000
2Eetu MakiniemiSan Diego Gulls (ANA)20000.9730.86700013710000.00%006000
Statistiques d’équipe totales ou en moyenne82400.9093.73370202325312100066000


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 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
Adam BeckmanSan Diego Gulls (ANA)LW225/10/2001Yes182 Lbs6 ft1NoNoNoNo5Pro & Farm894,167$0$0$No894,167$894,167$894,167$894,167$Lien
Arvid HolmSan Diego Gulls (ANA)G2411/3/1998Yes213 Lbs6 ft4NoNoNoNo3Pro & Farm845,833$0$0$No845,833$845,833$Lien
Brennan MenellSan Diego Gulls (ANA)D265/24/1997Yes177 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Brent RaedekeSan Diego Gulls (ANA)C/LW335/29/1990No195 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Carsen TwarynskiSan Diego Gulls (ANA)LW2511/24/1997Yes198 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Dylan WellsSan Diego Gulls (ANA)G251/3/1998Yes190 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Eetu MakiniemiSan Diego Gulls (ANA)G244/19/1999Yes184 Lbs6 ft2NoNoNoNo3Pro & Farm867,500$0$0$No867,500$867,500$Lien
Filip BerglundSan Diego Gulls (ANA)D265/10/1997Yes206 Lbs6 ft3NoNoNoNo3Pro & Farm817,500$0$0$No817,500$817,500$Lien
Helge GransSan Diego Gulls (ANA)D215/10/2002Yes205 Lbs6 ft4NoNoNoNo5Pro & Farm870,000$0$0$No870,000$870,000$870,000$870,000$Lien
Jakub LaukoSan Diego Gulls (ANA)LW233/28/2000Yes184 Lbs6 ft0NoNoNoNo1Pro & Farm764,167$0$0$NoLien
Joakim AnderssonSan Diego Gulls (ANA)C342/5/1989No211 Lbs6 ft2NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien
Joakim NordstromSan Diego Gulls (ANA)C/LW/RW312/25/1992No194 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Johan SodergranSan Diego Gulls (ANA)C/LW/RW2311/20/1999Yes205 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLien
John GilmourSan Diego Gulls (ANA)D305/17/1993No188 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Jonathan DuganSan Diego Gulls (ANA)LW253/24/1998 8:39:00 AMYes185 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No
Kenton Helgsen (contrat à 1 volet)San Diego Gulls (ANA)LW/D293/19/1994 4:07:39 AMNo194 Lbs6 ft3NoNoNoNo1Pro & Farm4,500,000$4,500,000$0$No
Klas DahlbeckSan Diego Gulls (ANA)D317/6/1991No207 Lbs6 ft3NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien
Kyle OlsonSan Diego Gulls (ANA)C243/22/1999Yes172 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Luke GreenSan Diego Gulls (ANA)D251/12/1998Yes190 Lbs6 ft0NoNoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien
Mathias Emilio PettersenSan Diego Gulls (ANA)C234/3/2000 8:41:00 AMYes175 Lbs5 ft10NoNoNoNo1Pro & Farm903,333$0$0$No
Michael VukojevicSan Diego Gulls (ANA)D226/8/2001Yes215 Lbs6 ft3NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Mikhail BerdinSan Diego Gulls (ANA)G253/1/1998Yes163 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Nathan LegareSan Diego Gulls (ANA)RW221/11/2001 2:40:53 AMYes205 Lbs6 ft0NoNoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$
Roby JarventieSan Diego Gulls (ANA)LW208/8/2002Yes184 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Roman Polak (contrat à 1 volet)San Diego Gulls (ANA)D374/28/1986No240 Lbs6 ft2NoNoNoNo1Pro & Farm3,500,000$3,500,000$0$NoLien
Ryan White (contrat à 1 volet)San Diego Gulls (ANA)C/LW/RW353/16/1988No200 Lbs6 ft0NoNoNoNo1Pro & Farm4,000,000$4,000,000$0$NoLien
Simon HolmstromSan Diego Gulls (ANA)RW225/24/2001Yes202 Lbs6 ft2NoNoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien / Lien NHL
Vitaly AbramovSan Diego Gulls (ANA)LW/RW255/8/1998Yes180 Lbs5 ft9NoNoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.14194 Lbs6 ft12.181,263,958$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carsen TwarynskiJoakim AnderssonRoby Jarventie40122
2Adam BeckmanKyle OlsonSimon Holmstrom30122
3Kenton HelgsenRyan WhiteJoakim Nordstrom20122
4Roby JarventieBrent RaedekeNathan Legare10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John GilmourHelge Grans40122
2Luke GreenFilip Berglund30122
3Brennan MenellRoman Polak20122
4Filip BerglundKlas Dahlbeck10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carsen TwarynskiJoakim AnderssonKenton Helgsen60122
2Adam BeckmanKyle OlsonSimon Holmstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brennan MenellHelge Grans60122
2Luke GreenRoman Polak40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Simon HolmstromJoakim Andersson60122
2Carsen TwarynskiAdam Beckman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roman PolakHelge Grans60122
2Luke GreenBrennan Menell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Carsen Twarynski60122Brennan MenellHelge Grans60122
2Joakim Andersson40122Luke GreenRoman Polak40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle OlsonJoakim Andersson60122
2Carsen TwarynskiAdam Beckman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roman PolakHelge Grans60122
2Luke GreenBrennan Menell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carsen TwarynskiJoakim AnderssonAdam BeckmanRoman PolakHelge Grans
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carsen TwarynskiJoakim AnderssonAdam BeckmanRoman PolakHelge Grans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vitaly Abramov, Johan Sodergran, Jakub LaukoVitaly Abramov, Johan SodergranJakub Lauko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Vukojevic, Brennan Menell, Roman PolakMichael VukojevicBrennan Menell, Roman Polak
Tirs de pénalité
Roby Jarventie, Joakim Andersson, Carsen Twarynski, Adam Beckman, Kenton Helgsen
Gardien
#1 : Dylan Wells, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Jakub Lauko, Joakim Andersson, Carsen Twarynski, Adam Beckman, Kenton Helgsen, Kyle Olson, Kyle Olson, Roby Jarventie, Simon Holmstrom, Ryan White, Joakim Nordstrom
Lignes de défense personnalisées en prolongation
Roman Polak, Helge Grans, Luke Green, Filip Berglund, Brennan Menell


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
1Hartford Wolf Pack624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852
Total624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852
_Since Last GM Reset624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852
_Vs Conference624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L1162844209253942012400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000812
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000811
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
100.00%5180.00%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
5378601801042
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
4512137.19%6616041.25%3410731.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
114631475410852


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 - 2023-03-041San Diego Gulls2Hartford Wolf Pack3ALSommaire du match
2 - 2023-03-059San Diego Gulls1Hartford Wolf Pack4ALSommaire du match
3 - 2023-03-0617Hartford Wolf Pack3San Diego Gulls4BWXSommaire du match
4 - 2023-03-0725Hartford Wolf Pack4San Diego Gulls1BLSommaire du match
5 - 2023-03-0833San Diego Gulls5Hartford Wolf Pack4AWXSommaire du match
6 - 2023-03-0941Hartford Wolf Pack5San Diego Gulls3BLSommaire du match



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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,339,083$ 2,334,083$ 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$ 0 0$ 0$




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