Connexion

San Diego Gulls
GP: 12 | W: 7 | L: 5
GF: 30 | GA: 28 | PP%: 28.57% | PK%: 87.50%
DG: Mark | Morale : 63 | Moyenne d’équipe : 59
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Centre de jeu
San Diego Gulls
7-5-0, 14pts
1
FINAL
5 Wilkes-Barre/Scranton Penguins
10-9-0, 20pts
Team Stats
OTL1SéquenceL2
3-4-0Fiche domicile4-5-0
4-1-0Fiche domicile6-4-0
6-2-2Derniers 10 matchs5-5-0
2.50Buts par match 2.47
2.33Buts contre par match 2.16
28.57%Pourcentage en avantage numérique12.00%
87.50%Pourcentage en désavantage numérique78.95%
Wilkes-Barre/Scranton Penguins
10-9-0, 20pts
3
FINAL
2 San Diego Gulls
7-5-0, 14pts
Team Stats
L2SéquenceOTL1
4-5-0Fiche domicile3-4-0
6-4-0Fiche domicile4-1-0
5-5-0Derniers 10 matchs6-2-2
2.47Buts par match 2.50
2.16Buts contre par match 2.33
12.00%Pourcentage en avantage numérique28.57%
78.95%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Carl GrundstromButs
Carl Grundstrom
7
Cole SillingerPasses
Cole Sillinger
12
Cole SillingerPoints
Cole Sillinger
16
Plus/Moins
Klas Dahlbeck
6
Victoires
Joseph Woll
7
Pourcentage d’arrêts
Joseph Woll
0.918

Statistiques d’équipe
Buts pour
30
2.50 GFG
Tirs pour
316
26.33 Avg
Pourcentage en avantage numérique
28.6%
4 GF
Début de zone offensive
39.2%
Buts contre
28
2.33 GAA
Tirs contre
341
28.42 Avg
Pourcentage en désavantage numérique
87.5%%
2 GA
Début de la zone défensive
37.1%
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 Pro30
Équipe Mineure19
Limite contact 49 / 65
Espoirs52


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
1Carl Grundstrom0X100.008347827680818276436771707469590856902631,300,000$
2Cole Sillinger0X100.00774779768584767670706771735750083680204925,000$
3Dryden Hunt0XX100.00825769737878796943636465697464075650281775,000$
4Juuso Parssinen (R)0X100.00725178718178687169726567695250085650221775,000$
5Simon Holmstrom (R)0X100.00634584728077676841646366685250081630222863,333$
6Jakub Lauko (R)0X100.00695673737574646640626061665150040610234787,500$
7Mathias Emilio Pettersen (R)0X100.00624468725763636342625966655150084590232775,000$
8Jonas Rondbjerg0X100.00624376687168646541615862645250082590244775,000$
9Samuel Fagemo0X100.00574671706364636443566355665150070580232775,000$
10Adam Beckman (R)0X100.00584471705962616543596057655050086580224894,167$
11Carsen Twarynski (R)0X100.00645265686567676241555762635350087580261775,000$
12Roby Jarventie (R)0X100.00604565666455546243605851625050084560212925,000$
13Joakim Andersson0X100.00633575756270694851535348536048084550343775,000$
14Henri Nikkanen (R)0X100.00624069616661625951575457585050084550221775,000$
15Rory Kerins (R)0X100.00624068656258575647545458585050084550211775,000$
16Blake Murray (R)0X100.00604068626357575747545454575050084540221775,000$
17Nathan Legare (R)0X100.00605361616662626241555451595050084540222789,167$
18Kirill Tyutyayev (R)0X100.00574069655959595740545454585050084540231775,000$
19Reilly Walsh0X100.00594569726266666640655869655250085610242775,000$
20Robin Salo0X100.00614373716968626340615367625250038600252842,500$
21Guillaume Brisebois (R)0X100.00604868706163615740515267605350087580261775,000$
22Michael Vukojevic (R)0X100.00665067637161595840535262585050072570222850,833$
23Helge Grans (R)0X100.00644672656860606140555462605050084570214870,000$
24Filip Berglund (R)0X100.00603575685465614545554553407358084550262817,500$
25Klas Dahlbeck0X100.00503575695656684549454854407358082540323775,000$
Rayé
1Ville Koivunen (R)0X100.00564068665754535647535454595050020530201775,000$
2Brent Raedeke0XX100.00483575696947445341494657505857020520331775,000$
MOYENNE D’ÉQUIPE100.0063457269676563614558576061555207558
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
1Joseph Woll (R)0100.0070605868666871697065565250082630254775,000$
2Eetu Makiniemi (R)0100.0071605864656769676765565250085620242867,500$
Rayé
1Dylan Wells (R)0100.0068626265656466636465585250024610261775,000$
MOYENNE D’ÉQUIPE100.007061596665666966676557525006462
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
1Cole SillingerSan Diego Gulls (ANA)C1241216-10022215214247.69%1127022.530443100001131058.02%293123101.1800000310
2Carl GrundstromSan Diego Gulls (ANA)RW127815-240191061173211.48%1026422.030222100001111127.78%18188111.1300000222
3Simon HolmstromSan Diego Gulls (ANA)RW12437055171424112116.67%221517.94303410000093071.43%753000.6500010100
4Michael VukojevicSan Diego Gulls (ANA)D12066-110104128210%617314.490001400007000%006000.6900110000
5Jonas RondbjergSan Diego Gulls (ANA)RW12235-39525101761311.76%1026522.1100007000001048.00%2542000.3800001001
6Klas DahlbeckSan Diego Gulls (ANA)D12055660102111170%1728223.520000000002000%058000.3500000000
7Carsen TwarynskiSan Diego Gulls (ANA)LW12415-1552282872014.29%822618.8600003000001110.00%1044000.4400100021
8Reilly WalshSan Diego Gulls (ANA)D121343951720135117.69%1230525.48022210000014000%0711000.2600001001
9Adam BeckmanSan Diego Gulls (ANA)LW122241751461431314.29%418815.6800000000030050.00%424000.4300100001
10Juuso ParssinenSan Diego Gulls (ANA)C12044-15517152415270%521217.7100017000040055.20%12543000.3800001000
11Mathias Emilio PettersenSan Diego Gulls (ANA)C121234001718176145.88%518315.2700000000040042.86%7077000.3300000000
12Guillaume BriseboisSan Diego Gulls (ANA)D12112-42610101512318.33%1123519.630002600008000%016100.1700101000
13Dryden HuntSan Diego Gulls (ANA)LW/RW811222756580712.50%38510.710000400000000%130000.4700100000
14Filip BerglundSan Diego Gulls (ANA)D12202-2004741150.00%618715.651012200003000%018100.2100000001
15Helge GransSan Diego Gulls (ANA)D1202212013108220%721117.62000112000016000%0013000.1900000000
16Roby JarventieSan Diego Gulls (ANA)LW12101-1206390611.11%11189.8400000000000030.00%1002000.1700000000
17Jakub LaukoSan Diego Gulls (ANA)LW3000000002100%0155.070000000001000%00000000000000
18Samuel FagemoSan Diego Gulls (ANA)LW3000000000000%010.530000000000000%00000000000000
19Joakim AnderssonSan Diego Gulls (ANA)C12000100973210%0766.3600000000000060.00%350100000000000
20Blake MurraySan Diego Gulls (ANA)C12000000000000%040.350000000000000%00000000000000
21Nathan LegareSan Diego Gulls (ANA)RW12000000200000%090.770000000000000%00000000000000
22Henri NikkanenSan Diego Gulls (ANA)C12000000000000%000.030000000000000%00000000000000
23Kirill TyutyayevSan Diego Gulls (ANA)LW12000200020000%0363.08000000000100100.00%10000000000000
24Robin SaloSan Diego Gulls (ANA)D3000-400031110%15618.730000000000000%00200000000000
Statistiques d’équipe totales ou en moyenne257305383011755234207316972029.49%119362514.114812189000021057253.26%5997391410.4600524657
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
1Joseph WollSan Diego Gulls (ANA)127320.9182.3073001283411841000120110
Statistiques d’équipe totales ou en moyenne127320.9182.307300128341184100120110


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 Type Salaire actuel Plafond salarial Non Activé 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 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)LW225/10/2001Yes168 Lbs6 ft1NoNoN/ANoNo4Pro & Farm894,167$0$0$No894,167$894,167$894,167$------NoNoNo------
Blake MurraySan Diego Gulls (ANA)C227/5/2001Yes187 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Brent RaedekeSan Diego Gulls (ANA)C/LW335/29/1990No195 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Carl GrundstromSan Diego Gulls (ANA)RW2612/1/1997No195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------NoNo-------Lien NHL
Carsen TwarynskiSan Diego Gulls (ANA)LW2611/24/1997Yes198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Cole SillingerSan Diego Gulls (ANA)C205/16/2003No201 Lbs6 ft1NoNoN/ANoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$------NoNoNo------Lien NHL
Dryden HuntSan Diego Gulls (ANA)LW/RW2811/24/1995No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Dylan WellsSan Diego Gulls (ANA)G261/3/1998Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Eetu MakiniemiSan Diego Gulls (ANA)G244/19/1999Yes183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm867,500$0$0$No867,500$--------No--------
Filip BerglundSan Diego Gulls (ANA)D265/10/1997Yes206 Lbs6 ft3NoNoN/ANoNo2Pro & Farm817,500$0$0$No817,500$--------No--------Lien
Guillaume BriseboisSan Diego Gulls (ANA)D267/21/1997Yes174 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien NHL
Helge GransSan Diego Gulls (ANA)D215/10/2002Yes205 Lbs6 ft3NoNoN/ANoNo4Pro & Farm870,000$0$0$No870,000$870,000$870,000$------NoNoNo------
Henri NikkanenSan Diego Gulls (ANA)C224/28/2001Yes201 Lbs6 ft4NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Jakub LaukoSan Diego Gulls (ANA)LW233/28/2000Yes196 Lbs6 ft0NoNoN/ANoNo4Pro & Farm787,500$0$0$No787,500$787,500$787,500$------NoNoNo------
Joakim AnderssonSan Diego Gulls (ANA)C342/5/1989No211 Lbs6 ft2NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Jonas RondbjergSan Diego Gulls (ANA)RW243/31/1999No196 Lbs6 ft2NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------
Joseph WollSan Diego Gulls (ANA)G257/12/1998Yes203 Lbs6 ft4NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------
Juuso ParssinenSan Diego Gulls (ANA)C222/1/2001Yes212 Lbs6 ft3NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Kirill TyutyayevSan Diego Gulls (ANA)LW238/8/2000Yes176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Klas DahlbeckSan Diego Gulls (ANA)D327/6/1991No207 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Mathias Emilio PettersenSan Diego Gulls (ANA)C234/3/2000 8:41:00 AMYes170 Lbs5 ft10NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Michael VukojevicSan Diego Gulls (ANA)D226/8/2001Yes216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm850,833$0$0$No850,833$--------No--------
Nathan LegareSan Diego Gulls (ANA)RW221/11/2001 2:40:53 AMYes205 Lbs6 ft0NoNoN/ANoNo2Pro & Farm789,167$0$0$No789,167$--------No--------
Reilly WalshSan Diego Gulls (ANA)D244/21/1999No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Robin SaloSan Diego Gulls (ANA)D2510/13/1998No187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------
Roby JarventieSan Diego Gulls (ANA)LW218/8/2002Yes183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Rory KerinsSan Diego Gulls (ANA)C214/12/2002Yes185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Samuel FagemoSan Diego Gulls (ANA)LW233/14/2000No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Simon HolmstromSan Diego Gulls (ANA)RW225/24/2001Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------Lien NHL
Ville KoivunenSan Diego Gulls (ANA)RW206/13/2003Yes161 Lbs5 ft11NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.27193 Lbs6 ft12.13822,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonas RondbjergCole SillingerCarl Grundstrom40122
2Carsen TwarynskiJuuso ParssinenRoby Jarventie30122
3Adam BeckmanMathias Emilio PettersenSimon Holmstrom20122
4Carsen TwarynskiJoakim AnderssonJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshKlas Dahlbeck40122
2Guillaume BriseboisRobin Salo30122
3Helge GransFilip Berglund20122
4Klas DahlbeckReilly Walsh10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Simon HolmstromCole SillingerCarl Grundstrom60122
2Jonas RondbjergJuuso ParssinenCarsen Twarynski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshHelge Grans60122
2Guillaume BriseboisFilip Berglund40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerCarl Grundstrom60122
2Juuso ParssinenSimon Holmstrom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshHelge Grans60122
2Guillaume BriseboisKlas Dahlbeck40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Sillinger60122Reilly WalshKlas Dahlbeck60122
2Juuso Parssinen40122Guillaume BriseboisHelge Grans40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerCarl Grundstrom60122
2Juuso ParssinenSimon Holmstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshFilip Berglund60122
2Guillaume BriseboisHelge Grans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juuso ParssinenCole SillingerCarl GrundstromReilly WalshGuillaume Brisebois
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juuso ParssinenCole SillingerCarl GrundstromReilly WalshGuillaume Brisebois
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Holmstrom, Cole Sillinger, Jonas RondbjergSimon Holmstrom, Juuso ParssinenSimon Holmstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Helge Grans, Filip Berglund, Klas DahlbeckHelge GransHelge Grans, Filip Berglund
Tirs de pénalité
Carl Grundstrom, Cole Sillinger, Jonas Rondbjerg, Juuso Parssinen, Simon Holmstrom
Gardien
#1 : Joseph Woll, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Carl Grundstrom, Cole Sillinger, Roby Jarventie, Juuso Parssinen, Simon Holmstrom, Carsen Twarynski, Carsen Twarynski, Jonas Rondbjerg, Mathias Emilio Pettersen, Joakim Andersson, Adam Beckman
Lignes de défense personnalisées en prolongation
Reilly Walsh, Filip Berglund, Guillaume Brisebois, Klas Dahlbeck, Helge Grans


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
1Manitoba Moose5410000018126321000009902200000093680.800183351005111221295814496181605969899333.33%7271.43%012123551.49%12322255.41%7514252.82%217101249121263129
2Wilkes-Barre/Scranton Penguins734000001216-44130000069-33210000067-160.4291220320151112218758144961818160481455120.00%90100.00%012123551.49%12322255.41%7514252.82%217101249121263129
Total12750000030282734000001518-35410000015105140.5833053830151112231658144961834111911723414428.57%16287.50%012123551.49%12322255.41%7514252.82%217101249121263129
_Since Last GM Reset12750000030282734000001518-35410000015105140.5833053830151112231658144961834111911723414428.57%16287.50%012123551.49%12322255.41%7514252.82%217101249121263129
_Vs Conference12750000030282734000001518-35410000015105140.5833053830151112231658144961834111911723414428.57%16287.50%012123551.49%12322255.41%7514252.82%217101249121263129

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214OTL130538331634111911723401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500003028
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400001518
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
54100001510
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14428.57%16287.50%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
581449618511122
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
12123551.49%12322255.41%7514252.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
217101249121263129


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
12Manitoba Moose5San Diego Gulls1BLSommaire du match
210Manitoba Moose1San Diego Gulls3BWSommaire du match
318San Diego Gulls5Manitoba Moose1AWSommaire du match
426San Diego Gulls4Manitoba Moose2AWSommaire du match
534Manitoba Moose3San Diego Gulls5BWSommaire du match
858Wilkes-Barre/Scranton Penguins2San Diego Gulls1BLXSommaire du match
962Wilkes-Barre/Scranton Penguins1San Diego Gulls2BWXSommaire du match
1066San Diego Gulls3Wilkes-Barre/Scranton Penguins2AWXSommaire du match
1170San Diego Gulls2Wilkes-Barre/Scranton Penguins0AWSommaire du match
1274Wilkes-Barre/Scranton Penguins3San Diego Gulls1BLSommaire du match
1378San Diego Gulls1Wilkes-Barre/Scranton Penguins5ALSommaire du match
1482Wilkes-Barre/Scranton Penguins3San Diego Gulls2BLXSommaire 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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,468,250$ 2,204,917$ 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