SAN DIEGO Gulls

GP: 69 | W: 21 | L: 48 | OTL: 0 | P: 42
GF: 159 | GA: 317 | PP%: 0.00% | PK%: 66.67%
DG: Sam Roy | Morale : 90 | Moyenne d'Équipe : 63
Prochain matchs #913 vs LAVAL Rockets
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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
1Danton Heinen36X100.006335747075819069527266616856525884700
2Lance Bouma0XXX100.008144756880729062306362666464595389690
3Sonny Milano22X100.005235696773555467506363526453518386600
4Ville Pokka0X100.006242725073558658304737605450507594560
5Chris Bigras0X100.005189646775505067304742525252517599550
Rayé
MOYENNE D'ÉQUIPE100.00624971647563746538585458605553699062
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
1Tristan Jarry100.00777193797675777675767152657174670
Rayé
MOYENNE D'ÉQUIPE100.0077719379767577767576715265717467
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Anderson69706970808050CAN613170,400$


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
1Lance BoumaSAN DIEGO Gulls (ANH)C/LW/RW40847913021516011534710727424.21%19691722.940008230000510150.94%1172000121.98000011210
2Brendan GuhleANAHEIM DucksD91141532208095911.11%319121.2301129011017000.00%000001.5700000010
Stats d'équipe Total ou en Moyenne4985211066223516811535611228323.88%199110822.63011103201102210150.94%1172000121.91000011220
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
1Tristan JarrySAN DIEGO Gulls (ANH)69214800.9384.49406114130448660000.000069017162
Stats d'équipe Total ou en Moyenne69214800.9384.49406114130448660000.000069017162


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Chris BigrasSAN DIEGO Gulls (ANH)D241995-02-22No86 Kg185 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Danton HeinenSAN DIEGO Gulls (ANH)C241995-07-05No85 Kg185 CMNoNoNo2Avec RestrictionPro & Farm960,000$0$0$NoLien
Lance BoumaSAN DIEGO Gulls (ANH)C/LW/RW291990-03-25No95 Kg188 CMNoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Sonny MilanoSAN DIEGO Gulls (ANH)LW231996-05-12No89 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Tristan JarrySAN DIEGO Gulls (ANH)G241995-04-29No88 Kg188 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Ville PokkaSAN DIEGO Gulls (ANH)D251994-03-06No94 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
624.8390 Kg185 CM3.00826,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
226122
323122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : Tristan Jarry, #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1BELLEVILLE Senators2020000009-91010000004-41010000005-500.00000000774633342487510510318746040000.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
2BRIDGEPORT Sound Tigers40400000429-2520200000216-1420200000213-1100.0004711007746333184875105103362111415500.00%110.00%033784140.07%942417322.57%319100531.74%6123982924414611211
3BROOKLYN Wolfpack4400000024519220000001321122000000113881.0002444680177463331884875105103200620102000.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
4CHICAGO Wolves40400000417-132020000039-62020000018-700.000481200774633328487510510330784433100.00%2150.00%033784140.07%942417322.57%319100531.74%6123982924414611211
5CLEVELAND Monsters31101000121022100100010641010000024-240.667122436007746333153487510510315444058300.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
6COLORADO Eagles30300000018-1820200000010-101010000008-800.0000000077463339487510510327786218300.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
7CORNWALL Aces21001000963110000004221000100054141.0009182700774633366487510510310023049000.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
8HERSEY Bears2020000006-6000000000002020000006-600.0000000077463331148751051031553129000.00%10100.00%033784140.07%942417322.57%319100531.74%6123982924414611211
9HOLLYWOOD Oscar22000000175121100000061511000000114741.00017335000774633312748751051039330297000.00%110.00%033784140.07%942417322.57%319100531.74%6123982924414611211
10IOWA Wild2010100067-1100010006511010000002-220.5006121800774633349487510510315254232100.00%10100.00%033784140.07%942417322.57%319100531.74%6123982924414611211
11LEHIGH VALLEY Phantoms20200000011-111010000005-51010000006-600.000000007746333548751051031765009400.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
12MANITOBA Moose20200000015-151010000007-71010000008-800.00000000774633310487510510317252017000.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
13MILWAUKEE Admirals40400000024-2420200000011-1120200000013-1300.000000007746333194875105103295771439600.00%7271.43%033784140.07%942417322.57%319100531.74%6123982924414611211
14MONT-LAURIER Sommet20200000010-101010000006-61010000004-400.00000000774633310487510510319060212200.00%10100.00%033784140.07%942417322.57%319100531.74%6123982924414611211
15PROVIDENCE Bruins642000003215173210000018513321000001410480.6673255870077463332804875105103370992110700.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
16PV Sharapovas2020000018-71010000014-31010000004-400.0001120077463339487510510314045016200.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
17ROCKFORD IceHogs40400000226-2420200000113-1220200000113-1200.00024600774633320487510510330087625700.00%3166.67%033784140.07%942417322.57%319100531.74%6123982924414611211
18STOCKTON Flames422000001417-32110000074321100000713-640.500142640007746333165487510510324266075300.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
19SYRACUSE Crunch20200000214-121010000017-61010000017-600.00022400774633321487510510317562215500.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
20TORONTO Marlies20200000114-131010000015-41010000009-900.00012300774633313487510510315946512200.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
21TUSCON Roadrunners4310000024111322000000173142110000078-160.750244165007746333165487510510322060068100.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
Total69184803000159317-1583511220200096145-49347260100063172-109420.3041592894480177463331510487510510349981443498965500.00%18666.67%033784140.07%942417322.57%319100531.74%6123982924414611211
23UTICA Comets40400000019-1920200000010-102020000009-900.000000007746333104875105103337101211200.00%10100.00%033784140.07%942417322.57%319100531.74%6123982924414611211
24VICTORIAVILLE Tigres20200000119-181010000008-810100000111-1000.0001120077463338487510510320456015100.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
25WILKIES-BARRIE Penguins11000000624110000006240000000000021.000611170077463338448751051033111019000.00%000.00%033784140.07%942417322.57%319100531.74%6123982924414611211
_Since Last GM Reset69184803000159317-1583511220200096145-49347260100063172-109420.3041592894480177463331510487510510349981443498965500.00%18666.67%033784140.07%942417322.57%319100531.74%6123982924414611211
_Vs Conference42122901000102180-7821713010006485-2121516000003895-57260.31010218328501774633390148751051032977842364883500.00%15566.67%033784140.07%942417322.57%319100531.74%6123982924414611211
_Vs Division210190000013126-11311010000001063-53100900000363-6000.00013253800774633314348751051031707496281791900.00%13469.23%033784140.07%942417322.57%319100531.74%6123982924414611211

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6942L11592894481510499814434989601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6918483000159317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
351122200096145
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34726100063172
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5500.00%18666.67%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
48751051037746333
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
33784140.07%942417322.57%319100531.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
6123982924414611211


Derniers Match 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 - 2019-07-309SAN DIEGO Gulls6PROVIDENCE Bruins3WSommaire du Match
2 - 2019-07-3123PROVIDENCE Bruins1SAN DIEGO Gulls11WSommaire du Match
3 - 2019-08-0132SAN DIEGO Gulls1BRIDGEPORT Sound Tigers5LSommaire du Match
4 - 2019-08-0240ROCKFORD IceHogs6SAN DIEGO Gulls0LSommaire du Match
6 - 2019-08-0461STOCKTON Flames1SAN DIEGO Gulls7WSommaire du Match
7 - 2019-08-0572SAN DIEGO Gulls0MILWAUKEE Admirals7LR3Sommaire du Match
9 - 2019-08-0784SAN DIEGO Gulls7STOCKTON Flames2WSommaire du Match
10 - 2019-08-0895BRIDGEPORT Sound Tigers9SAN DIEGO Gulls1LSommaire du Match
11 - 2019-08-09111PROVIDENCE Bruins2SAN DIEGO Gulls7WSommaire du Match
12 - 2019-08-10121SAN DIEGO Gulls8PROVIDENCE Bruins2WSommaire du Match
14 - 2019-08-12138MILWAUKEE Admirals6SAN DIEGO Gulls0LR3Sommaire du Match
15 - 2019-08-13152SAN DIEGO Gulls0HERSEY Bears2LSommaire du Match
17 - 2019-08-15167TUSCON Roadrunners1SAN DIEGO Gulls8WSommaire du Match
19 - 2019-08-17183SAN DIEGO Gulls8BROOKLYN Wolfpack2WSommaire du Match
20 - 2019-08-18185UTICA Comets4SAN DIEGO Gulls0LSommaire du Match
22 - 2019-08-20209SAN DIEGO Gulls1VICTORIAVILLE Tigres11LSommaire du Match
23 - 2019-08-21219SAN DIEGO Gulls1SYRACUSE Crunch7LSommaire du Match
24 - 2019-08-22230STOCKTON Flames3SAN DIEGO Gulls0LSommaire du Match
25 - 2019-08-23247PV Sharapovas4SAN DIEGO Gulls1LSommaire du Match
26 - 2019-08-24260SAN DIEGO Gulls0TORONTO Marlies9LSommaire du Match
27 - 2019-08-25271VICTORIAVILLE Tigres8SAN DIEGO Gulls0LSommaire du Match
29 - 2019-08-27285SAN DIEGO Gulls0HERSEY Bears4LSommaire du Match
30 - 2019-08-28300IOWA Wild5SAN DIEGO Gulls6WXSommaire du Match
31 - 2019-08-29313SAN DIEGO Gulls11HOLLYWOOD Oscar4WSommaire du Match
32 - 2019-08-30323TORONTO Marlies5SAN DIEGO Gulls1LSommaire du Match
33 - 2019-08-31339SYRACUSE Crunch7SAN DIEGO Gulls1LSommaire du Match
34 - 2019-09-01349SAN DIEGO Gulls1CHICAGO Wolves2LSommaire du Match
35 - 2019-09-02363CHICAGO Wolves3SAN DIEGO Gulls1LSommaire du Match
37 - 2019-09-04377SAN DIEGO Gulls0CHICAGO Wolves6LSommaire du Match
38 - 2019-09-05392PROVIDENCE Bruins2SAN DIEGO Gulls0LSommaire du Match
39 - 2019-09-06401SAN DIEGO Gulls0PV Sharapovas4LSommaire du Match
41 - 2019-09-08415SAN DIEGO Gulls7TUSCON Roadrunners2WSommaire du Match
42 - 2019-09-09428MILWAUKEE Admirals5SAN DIEGO Gulls0LR3Sommaire du Match
44 - 2019-09-11440SAN DIEGO Gulls0MANITOBA Moose8LSommaire du Match
46 - 2019-09-13455BRIDGEPORT Sound Tigers7SAN DIEGO Gulls1LSommaire du Match
47 - 2019-09-14467SAN DIEGO Gulls0PROVIDENCE Bruins5LSommaire du Match
48 - 2019-09-15479CHICAGO Wolves6SAN DIEGO Gulls2LSommaire du Match
49 - 2019-09-16497WILKIES-BARRIE Penguins2SAN DIEGO Gulls6WSommaire du Match
50 - 2019-09-17510SAN DIEGO Gulls0ROCKFORD IceHogs6LSommaire du Match
51 - 2019-09-18523TUSCON Roadrunners2SAN DIEGO Gulls9WSommaire du Match
53 - 2019-09-20534SAN DIEGO Gulls0UTICA Comets6LSommaire du Match
54 - 2019-09-21546SAN DIEGO Gulls0MONT-LAURIER Sommet4LSommaire du Match
55 - 2019-09-22560MONT-LAURIER Sommet6SAN DIEGO Gulls0LSommaire du Match
57 - 2019-09-24575CORNWALL Aces2SAN DIEGO Gulls4WSommaire du Match
58 - 2019-09-25582SAN DIEGO Gulls0STOCKTON Flames11LSommaire du Match
60 - 2019-09-27596SAN DIEGO Gulls1ROCKFORD IceHogs7LSommaire du Match
61 - 2019-09-28610BROOKLYN Wolfpack0SAN DIEGO Gulls7WSommaire du Match
64 - 2019-10-01622SAN DIEGO Gulls3BROOKLYN Wolfpack1WSommaire du Match
65 - 2019-10-02633SAN DIEGO Gulls0IOWA Wild2LSommaire du Match
66 - 2019-10-03645COLORADO Eagles5SAN DIEGO Gulls0LSommaire du Match
68 - 2019-10-05663CLEVELAND Monsters4SAN DIEGO Gulls5WXSommaire du Match
69 - 2019-10-06672SAN DIEGO Gulls2CLEVELAND Monsters4LSommaire du Match
71 - 2019-10-08685BROOKLYN Wolfpack2SAN DIEGO Gulls6WSommaire du Match
72 - 2019-10-09698SAN DIEGO Gulls0MILWAUKEE Admirals6LR3Sommaire du Match
74 - 2019-10-11711COLORADO Eagles5SAN DIEGO Gulls0LSommaire du Match
75 - 2019-10-12723SAN DIEGO Gulls0UTICA Comets3LSommaire du Match
76 - 2019-10-13735BELLEVILLE Senators4SAN DIEGO Gulls0LSommaire du Match
77 - 2019-10-14744SAN DIEGO Gulls0LEHIGH VALLEY Phantoms6LSommaire du Match
78 - 2019-10-15761UTICA Comets6SAN DIEGO Gulls0LSommaire du Match
80 - 2019-10-17777SAN DIEGO Gulls0TUSCON Roadrunners6LSommaire du Match
81 - 2019-10-18784SAN DIEGO Gulls1BRIDGEPORT Sound Tigers8LSommaire du Match
82 - 2019-10-19792SAN DIEGO Gulls5CORNWALL Aces4WXSommaire du Match
83 - 2019-10-20801LEHIGH VALLEY Phantoms5SAN DIEGO Gulls0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22825MANITOBA Moose7SAN DIEGO Gulls0LSommaire du Match
86 - 2019-10-23842ROCKFORD IceHogs7SAN DIEGO Gulls1LSommaire du Match
88 - 2019-10-25860HOLLYWOOD Oscar1SAN DIEGO Gulls6WSommaire du Match
90 - 2019-10-27875SAN DIEGO Gulls0BELLEVILLE Senators5LSommaire du Match
91 - 2019-10-28891CLEVELAND Monsters2SAN DIEGO Gulls5WSommaire du Match
92 - 2019-10-29900SAN DIEGO Gulls0COLORADO Eagles8LSommaire du Match
94 - 2019-10-31913LAVAL Rockets-SAN DIEGO Gulls-
95 - 2019-11-01927SAN DIEGO Gulls-CLEVELAND Monsters-
96 - 2019-11-02935SAN DIEGO Gulls-WILKIES-BARRIE Penguins-
98 - 2019-11-04945LAVAL Rockets-SAN DIEGO Gulls-
99 - 2019-11-05956SAN DIEGO Gulls-LAVAL Rockets-
101 - 2019-11-07974SAN DIEGO Gulls-LAVAL Rockets-
102 - 2019-11-08980SAN DIEGO Gulls-COLORADO Eagles-
103 - 2019-11-09988HERSEY Bears-SAN DIEGO Gulls-
106 - 2019-11-121008HERSEY Bears-SAN DIEGO Gulls-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
578,064$ 496,000$ 496,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 429,987$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 6,228$ 87,192$




LigueDomicileVisiteur
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
3269184803000159317-1583511220200096145-49347260100063172-109421592894480177463331510487510510349981443498965500.00%18666.67%033784140.07%942417322.57%319100531.74%6123982924414611211
Total Saison Régulière69184803000159317-1583511220200096145-49347260100063172-109421592894480177463331510487510510349981443498965500.00%18666.67%033784140.07%942417322.57%319100531.74%6123982924414611211