Connexion

San Diego Gulls
GP: 32 | W: 18 | L: 12 | OTL: 2 | P: 38
GF: 109 | GA: 104 | PP%: 16.22% | PK%: 81.58%
DG: Interim | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #465 vs Toronto Marlies
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Centre de jeu
San Diego Gulls
18-12-2, 38pts
3
FINAL
4 Rochester Americans
21-10-3, 45pts
Team Stats
W1SéquenceW1
11-4-1Fiche domicile12-6-1
7-8-1Fiche domicile9-4-2
8-2-0Derniers 10 matchs7-2-1
3.41Buts par match 3.00
3.25Buts contre par match 2.65
16.22%Pourcentage en avantage numérique18.52%
81.58%Pourcentage en désavantage numérique84.38%
Texas Stars
21-8-4, 46pts
2
FINAL
3 San Diego Gulls
18-12-2, 38pts
Team Stats
W1SéquenceW1
10-4-3Fiche domicile11-4-1
11-4-1Fiche domicile7-8-1
4-3-3Derniers 10 matchs8-2-0
3.39Buts par match 3.41
2.73Buts contre par match 3.25
42.86%Pourcentage en avantage numérique16.22%
81.61%Pourcentage en désavantage numérique81.58%
Toronto Marlies
12-14-7, 31pts
Jour 79
San Diego Gulls
18-12-2, 38pts
Statistiques d’équipe
W4SéquenceW1
6-8-4Fiche domicile11-4-1
6-6-3Fiche visiteur7-8-1
5-4-110 derniers matchs8-2-0
3.03Buts par match 3.41
3.21Buts contre par match 3.41
15.38%Pourcentage en avantage numérique16.22%
80.31%Pourcentage en désavantage numérique81.58%
Hershey Bears
13-18-2, 28pts
Jour 83
San Diego Gulls
18-12-2, 38pts
Statistiques d’équipe
L4SéquenceW1
6-10-1Fiche domicile11-4-1
7-8-1Fiche visiteur7-8-1
3-7-010 derniers matchs8-2-0
2.61Buts par match 3.41
3.15Buts contre par match 3.41
17.78%Pourcentage en avantage numérique16.22%
80.82%Pourcentage en désavantage numérique81.58%
San Diego Gulls
18-12-2, 38pts
Jour 85
Hartford Wolfpack
16-15-2, 34pts
Statistiques d’équipe
W1SéquenceSOL1
11-4-1Fiche domicile8-7-1
7-8-1Fiche visiteur8-8-1
8-2-010 derniers matchs6-2-2
3.41Buts par match 3.58
3.25Buts contre par match 3.58
16.22%Pourcentage en avantage numérique20.51%
81.58%Pourcentage en désavantage numérique72.64%
Meneurs d'équipe
Buts
Christoph Bertschy
14
Passes
Michael Spacek
20
Points
Michael Spacek
33
Plus/Moins
Spencer Watson
8
Victoires
Jake Kielly
11
Pourcentage d’arrêts
Jake Kielly
0.92

Statistiques d’équipe
Buts pour
109
3.41 GFG
Tirs pour
1301
40.66 Avg
Pourcentage en avantage numérique
16.2%
18 GF
Début de zone offensive
41.3%
Buts contre
104
3.25 GAA
Tirs contre
1214
37.94 Avg
Pourcentage en désavantage numérique
81.6%%
14 GA
Début de la zone défensive
36.0%
Informations de l'équipe

Directeur généralInterim
EntraîneurRandy Carlyle
DivisionWestern
ConférenceConference 1
CapitaineAdam Ruzicka
Assistant #1Michael Spacek
Assistant #2Colton Dach


Informations de l’aréna

Capacité10,000
Assistance8,782
Billets de saison4,000


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 75
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 SPÂgeContratSalaire
1Spencer WatsonX100.006120858471838468546568667179764299670283675,000$
2Ondrej KaseXX100.0054188787728185755070706065706330996702821,000,000$
3Ryan GroppX100.00592680817778816951666969687474599967N0271600,000$
4Michael Spacek (A)XX100.006128828176777972897067636582655499670271500,001$
5Christoph BertschyX100.004612938871828473876969536567612899660292685,000$
6Colton Dach (A)XX100.00713672777467677575707066705062709965N02131,499,999$
7Adam Ruzicka (C)XXX100.006733777878687166805866646892655799650253660,000$
8Gage Goncalves (R)X100.006732767770747468796767696751586699650231650,000$
9Jaydon Dureau (R)X100.006130787570696979527270656952605499650231500,000$
10Ethan CardwellX100.00683672767467677554707064704753649964N02231,499,999$
11Liam FoudyX100.005724848074717360805462716873747599640242660,000$
12Connor McClennon (R)X100.007037727569696975536871637148576499640221650,000$
13Miko Matikka (R)X100.00723870777566666655637067704034659963N0203600,000$
14Pavel Dorofeyev (R)XX100.005722847873687357545258726359505899610232600,000$
15Xavier BernardX100.007337777680808259545861736054516099670241700,000$
16Mirco MullerX100.007843758280838353575550706070675399670292850,000$
17Topi Niemela (R)X100.006932767370696954566663736363646499650223500,000$
18Hugo Gabrielson (R)X100.006332787070676775527268636850635499640211650,000$
19Isaac Beliveau (R)X100.007034766972727264536967666751605999640211500,000$
20Kyle WoodX100.00572594728584844654424376555663399964N0343600,000$
21Adam Jiricek (R)X99.006431727668646466606869686942358299620183500,000$
Rayé
1Ty Dellandrea (R)X100.006030808075687158775760676863737399630232510,000$
2Ben WrightX91.08754170677573766653706269609492149967N0363600,000$
3Joey KeaneX100.006126828275798259546557696055636099660251625,000$
4Leon GawankeX100.007032807778798258546056606480765499650251550,000$
MOYENNE D’ÉQUIPE99.60643079787474756561646467666262569965
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
1Jake Kielly100.00807781858379797979778068814199660282500,000$
2Brandon Bussi100.0072748285707575707072706672649961N02621,000,000$
3Jakub Vondras (R)100.00807775768180808080777840376399610202500,000$
Rayé
1Kieran Millan 100.008083807989797979797270839927996803511,499,999$
MOYENNE D’ÉQUIPE100.0078788081817878777775756472499964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle81937994989975CAN684250,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Michael SpacekSan Diego Gulls (ANA)C/RW32132033-320426213941659.35%1359618.63491323101000001158.52%757205001.1113000223
2Christoph BertschySan Diego Gulls (ANA)C321414287002039116328812.07%952516.432021176000002052.83%477306001.0600000230
3Ethan CardwellSan Diego Gulls (ANA)RW29101727-1120353110723629.35%1851517.792682191000002145.00%401614011.0501000221
4Ondrej KaseSan Diego Gulls (ANA)LW/RW32101525-100221913444887.46%1250915.911121276000062036.36%44329000.9800000111
5Jaydon DureauSan Diego Gulls (ANA)LW328172558051328136599.88%853616.78011675000000040.48%422712000.9300000111
6Spencer WatsonSan Diego Gulls (ANA)RW32121022820352173225016.44%1148715.235381650000001150.00%201713010.9012000211
7Gage GoncalvesSan Diego Gulls (ANA)C305141926035536419307.81%1145015.01011040001601047.71%50377000.8400000001
8Colton DachSan Diego Gulls (ANA)C/LW2881018-516047219428488.51%1546216.5131420510001163043.48%462610000.7802000110
9Connor McClennonSan Diego Gulls (ANA)RW2711516-1120351973243615.07%934912.9300000000002035.48%31146000.9200000014
10Ryan GroppSan Diego Gulls (ANA)LW305712-92024148724495.75%1033111.04000000001240128.57%283111000.7200000011
11Hugo GabrielsonSan Diego Gulls (ANA)D3211011610024293822152.63%2359718.68033911200001000%01515100.3700000000
12Xavier BernardSan Diego Gulls (ANA)D32099222032333919210%4654917.1700000000042000%0221000.3300000000
13Miko MatikkaSan Diego Gulls (ANA)RW30369-412031146919544.35%42799.3100000000000030.00%10113000.6422000101
14Isaac BeliveauSan Diego Gulls (ANA)D32145-480161614677.14%2236311.3701136700003010%048000.2700000000
15Liam FoudySan Diego Gulls (ANA)C32325-26010213314249.09%1033110.35000000001261050.00%164610000.3000000000
16Adam JiricekSan Diego Gulls (ANA)D2413418027142817123.57%3046819.5411258100005000%0614000.1700000001
17Topi NiemelaSan Diego Gulls (ANA)D32033-6803631379190%4963419.83000167000166000%0424000.0900000000
18Ben WrightSan Diego Gulls (ANA)D270332100222018890%2337814.0301111300018000%0414000.1600000000
19Joey KeaneSan Diego Gulls (ANA)D71120003321250.00%28812.7000001700000010%011000.4500000001
20Adam RuzickaSan Diego Gulls (ANA)C/LW/RW32011-100971810140%61584.960002110000380058.33%1241000.1300000010
21Ty DellandreaSan Diego Gulls (ANA)C10011-300687140%4595.9500000000140033.82%6812000.3400000000
22Kyle WoodSan Diego Gulls (ANA)D300111004147770%132729.0700000000049000%018000.0700000000
23Mirco MullerSan Diego Gulls (ANA)D32011-5804029215120%3549515.5000000000166000%0415000.0400000000
24Leon GawankeSan Diego Gulls (ANA)D2000-100000000%1126.140000000001000%00000000000000
25Pavel DorofeyevSan Diego Gulls (ANA)LW/RW32000000151010%4762.39000000001700016.67%60200000000000
Statistiques d’équipe totales ou en moyenne690106174280-12152060755513004317768.15%388953113.81182846130901000949315651.20%2248283231120.59410000121416
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
1Jake KiellySan Diego Gulls (ANA)1711510.9203.0210320052648316300.8758172330
2Brandon BussiSan Diego Gulls (ANA)116410.9073.496360037399199111.0003113111
3Jakub VondrasSan Diego Gulls (ANA)41200.9192.892080010124570000327000
4Kieran Millan San Diego Gulls (ANA)10100.9054.14580044218000010000
Statistiques d’équipe totales ou en moyenne33181220.9153.19193600103121359041113232441


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 Salaire restantPlafond 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 JiricekSan Diego Gulls (ANA)D181996-09-03Yes168 Lbs6 ft2NoNoTrade2024-09-02NoNo32024-09-02Pro & Farm500,000$298,429$0$0$No500,000$500,000$-------NoNo-------
Adam RuzickaSan Diego Gulls (ANA)C/LW/RW251989-08-31No215 Lbs6 ft4NoNoFree AgentNoNo32024-08-23Farm Only660,000$393,927$0$0$No660,000$660,000$-------NoNo-------
Ben Wright (sur la masse salariale)San Diego Gulls (ANA)D361978-10-04No200 Lbs6 ft2YesNoFree AgentNoNo32024-10-07Pro & Farm600,000$358,115$0$0$Yes600,000$600,000$-------YesYes-------
Brandon BussiSan Diego Gulls (ANA)G261988-09-01No227 Lbs6 ft4YesNoFree AgentNoNo22024-10-07Pro & Farm1,000,000$596,859$0$0$No1,000,000$--------Yes--------
Christoph BertschySan Diego Gulls (ANA)C291986-04-05No185 Lbs5 ft11NoNoN/ANoNo2Farm Only685,000$408,848$0$0$No685,000$--------No--------
Colton DachSan Diego Gulls (ANA)C/LW211993-09-01No196 Lbs6 ft4YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$895,287$0$0$No1,499,999$1,499,999$-------YesYes-------
Connor McClennonSan Diego Gulls (ANA)RW221992-09-04Yes172 Lbs5 ft9NoNoN/ANoNo1Farm Only650,000$387,958$0$0$No------------------
Ethan CardwellSan Diego Gulls (ANA)RW221992-09-01No192 Lbs5 ft11YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$895,287$0$0$No1,499,999$1,499,999$-------YesYes-------
Gage GoncalvesSan Diego Gulls (ANA)C231991-06-23Yes175 Lbs6 ft1NoNoTrade2024-01-09NoNo1Farm Only650,000$387,958$0$0$No------------------
Hugo GabrielsonSan Diego Gulls (ANA)D211993-06-23Yes175 Lbs6 ft3NoNoTrade2024-08-23NoNo1Pro & Farm650,000$387,958$0$0$No------------------
Isaac BeliveauSan Diego Gulls (ANA)D211993-06-23Yes185 Lbs6 ft2NoNoTrade2024-09-02NoNo1Pro & Farm500,000$298,429$0$0$No------------------
Jake KiellySan Diego Gulls (ANA)G281986-08-17No202 Lbs6 ft2NoNoTrade2024-08-21NoNo2Pro & Farm500,000$298,429$0$0$No500,000$--------No--------
Jakub VondrasSan Diego Gulls (ANA)G201994-09-14Yes190 Lbs6 ft4NoNoTrade2024-09-02NoNo2Pro & Farm500,000$298,429$0$0$No500,000$--------No--------
Jaydon DureauSan Diego Gulls (ANA)LW231991-09-04Yes178 Lbs5 ft11NoNoTrade2024-01-09NoNo1Farm Only500,000$298,429$0$0$No------------------
Joey KeaneSan Diego Gulls (ANA)D251989-10-04No194 Lbs6 ft2NoNoN/ANoNo1Farm Only625,000$373,037$0$0$No------------------
Kieran Millan San Diego Gulls (ANA)G351979-10-14No203 Lbs6 ft0NoNoTrade2024-08-21NoNo1Pro & Farm1,499,999$895,287$0$0$No------------------
Kyle WoodSan Diego Gulls (ANA)D341980-10-05No241 Lbs6 ft5YesNoFree AgentNoNo32024-10-07Farm Only600,000$358,115$0$0$No600,000$600,000$-------YesYes-------
Leon GawankeSan Diego Gulls (ANA)D251989-10-04No211 Lbs6 ft3NoNoN/ANoNo1Farm Only550,000$328,272$0$0$No------------------
Liam FoudySan Diego Gulls (ANA)C241990-08-31No192 Lbs6 ft1NoNoN/ANoNo2Farm Only660,000$393,927$0$0$No660,000$--------No--------
Michael SpacekSan Diego Gulls (ANA)C/RW271987-09-19No204 Lbs6 ft0NoNoTrade2024-08-21NoNo12024-03-17Pro & Farm500,001$298,430$0$0$No------------------
Miko MatikkaSan Diego Gulls (ANA)RW201994-09-01Yes192 Lbs6 ft4YesNoFree Agent2024-07-07NoNo32024-10-07Pro & Farm600,000$358,115$0$0$No600,000$600,000$-------YesYes-------
Mirco MullerSan Diego Gulls (ANA)D291985-10-06No224 Lbs6 ft4NoNoN/ANoNo2Farm Only850,000$507,330$0$0$No850,000$--------No--------
Ondrej KaseSan Diego Gulls (ANA)LW/RW281986-10-06No187 Lbs6 ft1NoNoN/ANoNo2Farm Only1,000,000$596,859$0$0$No1,000,000$--------No--------
Pavel DorofeyevSan Diego Gulls (ANA)LW/RW231991-08-31Yes186 Lbs6 ft2NoNoN/ANoNo2Farm Only600,000$358,115$0$0$No600,000$--------No--------
Ryan GroppSan Diego Gulls (ANA)LW271987-09-19No204 Lbs6 ft4YesNoFree Agent2024-07-11NoNo12024-10-07Pro & Farm600,000$358,115$0$0$No------------------
Spencer WatsonSan Diego Gulls (ANA)RW281986-10-09No187 Lbs5 ft11NoNoFree Agent2024-08-03NoNo32024-08-23Pro & Farm675,000$402,880$0$0$No675,000$675,000$-------NoNo-------
Topi NiemelaSan Diego Gulls (ANA)D221992-07-23Yes179 Lbs6 ft0NoNoTrade2024-08-21NoNo32024-07-22Pro & Farm500,000$298,429$0$0$No500,000$500,000$-------NoNo-------
Ty DellandreaSan Diego Gulls (ANA)C231991-08-31Yes204 Lbs6 ft2NoNoTrade2024-08-21NoNo2Pro & Farm510,000$304,398$0$0$No510,000$--------No--------
Xavier BernardSan Diego Gulls (ANA)D241990-10-04No219 Lbs6 ft4NoNoTrade2024-08-24NoNo1Pro & Farm700,000$417,801$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.14196 Lbs6 ft21.93719,483$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachMichael SpacekEthan Cardwell30122
2Jaydon DureauChristoph BertschySpencer Watson28122
3Ondrej KaseGage GoncalvesConnor McClennon27122
4Ryan GroppLiam FoudyMiko Matikka15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hugo GabrielsonXavier Bernard30122
2Adam JiricekTopi Niemela30122
3Xavier BernardMirco Muller27122
4Isaac BeliveauKyle Wood13122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Spencer WatsonMichael SpacekEthan Cardwell60122
2Jaydon DureauChristoph BertschyOndrej Kase40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam JiricekHugo Gabrielson60122
2Isaac BeliveauTopi Niemela40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gage GoncalvesPavel Dorofeyev60122
2Adam RuzickaLiam Foudy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topi NiemelaMirco Muller60122
2Xavier BernardKyle Wood40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gage Goncalves60122Topi NiemelaMirco Muller60122
2Liam Foudy40122Xavier BernardKyle Wood40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gage GoncalvesEthan Cardwell60122
2Christoph BertschyConnor McClennon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaac BeliveauMirco Muller60122
2Hugo GabrielsonXavier Bernard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Spencer WatsonMichael SpacekEthan CardwellColton DachHugo Gabrielson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyGage GoncalvesSpencer WatsonTopi NiemelaMirco Muller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ondrej Kase, Jaydon Dureau, Ethan CardwellGage Goncalves, Spencer WatsonRyan Gropp
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Isaac Beliveau, Xavier Bernard, Kyle WoodMirco MullerMirco Muller, Adam Jiricek
Tirs de pénalité
Michael Spacek, Ethan Cardwell, Spencer Watson, Miko Matikka, Adam Ruzicka
Gardien
#1 : Jake Kielly, #2 : Jakub Vondras, #3 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Christoph Bertschy, Ethan Cardwell, Ryan Gropp, Liam Foudy, Gage Goncalves, Jaydon Dureau, Jaydon Dureau, Ondrej Kase, Michael Spacek, Spencer Watson, Pavel Dorofeyev
Lignes de défense personnalisées en prolongation
Adam Jiricek, Mirco Muller, Hugo Gabrielson, Topi Niemela, Xavier Bernard


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
1Abbotsford's Canucks1010000035-21010000035-20000000000000.00035800333832745487432367253919414600.00%2150.00%050691755.18%38780148.31%25850551.09%713421660282567283
2Bakersfield Condors210000101156100000103211100000083541.0001113240033383279948743236725902283711436.36%4175.00%050691755.18%38780148.31%25850551.09%713421660282567283
3Belleville Senators1010000013-2000000000001010000013-200.00012300333832732487432367253718217300.00%10100.00%050691755.18%38780148.31%25850551.09%713421660282567283
4Bridgeport's Islanders11000000431110000004310000000000021.000481200333832738487432367252826162150.00%30100.00%050691755.18%38780148.31%25850551.09%713421660282567283
5Calgary Wranglers11000000422110000004220000000000021.0004711003338327444874323672525100178225.00%000%050691755.18%38780148.31%25850551.09%713421660282567283
6Charlotte Checkers10001000651000000000001000100065121.000611170033383274148743236725281212165240.00%6183.33%050691755.18%38780148.31%25850551.09%713421660282567283
7Chicago Wolves1010000036-3000000000001010000036-300.00035800333832741487432367252815616000%3233.33%050691755.18%38780148.31%25850551.09%713421660282567283
8Colorado Eagles1010000034-1000000000001010000034-100.00036900333832739487432367254221420300.00%20100.00%050691755.18%38780148.31%25850551.09%713421660282567283
9Grand Rapids Griffins11000000431000000000001100000043121.000461000333832735487432367254666213133.33%3233.33%050691755.18%38780148.31%25850551.09%713421660282567283
10Hartford Wolfpack1010000015-41010000015-40000000000000.000112003338327474874323672537112214125.00%10100.00%050691755.18%38780148.31%25850551.09%713421660282567283
11Henderson Silver Knights1010000013-2000000000001010000013-200.00011210333832742487432367254313816000%40100.00%050691755.18%38780148.31%25850551.09%713421660282567283
12Iowa Wild10000010431100000104310000000000021.00044800333832752487432367253313216700.00%110.00%050691755.18%38780148.31%25850551.09%713421660282567283
13Laval Rocket22000000945110000004221100000052341.00091625003338327834874323672576174436233.33%20100.00%050691755.18%38780148.31%25850551.09%713421660282567283
14Lehigh Valley Phantoms21001000862100010005411100000032141.00081119003338327814874323672581231435900.00%7357.14%050691755.18%38780148.31%25850551.09%713421660282567283
15Manitoba Moose21100000871110000004221010000045-120.50081321003338327704874323672571291041300.00%50100.00%050691755.18%38780148.31%25850551.09%713421660282567283
16Ontario Reign1000010034-1000000000001000010034-110.50035800333832734487432367255318618100.00%30100.00%050691755.18%38780148.31%25850551.09%713421660282567283
17Providence Bruins21100000440110000003121010000013-220.5004610003338327794874323672583254555120.00%20100.00%050691755.18%38780148.31%25850551.09%713421660282567283
18Rochester Americans2020000046-21010000012-11010000034-100.00045900333832788487432367258029103910110.00%50100.00%050691755.18%38780148.31%25850551.09%713421660282567283
19San Jose Barracuda11000000312110000003120000000000021.000369003338327384874323672531106213133.33%30100.00%050691755.18%38780148.31%25850551.09%713421660282567283
20Syracuse Crunch11000000532110000005320000000000021.00057120033383273548743236725381110263133.33%5180.00%050691755.18%38780148.31%25850551.09%713421660282567283
21Texas Stars21000010734100000103211100000041341.00071219003338327894874323672572181033600.00%5180.00%050691755.18%38780148.31%25850551.09%713421660282567283
22Toronto Marlies10001000541000000000001000100054121.000591400333832737487432367253164173133.33%20100.00%050691755.18%38780148.31%25850551.09%713421660282567283
23Utica Comets1000010034-11000010034-10000000000010.50036900333832741487432367254714216300.00%10100.00%050691755.18%38780148.31%25850551.09%713421660282567283
24Wilkes-Barre/Scranton Penguins20200000511-61010000024-21010000037-400.0005914003338327714874323672575281236700.00%6183.33%050691755.18%38780148.31%25850551.09%713421660282567283
Total321212032301091045167401130524571658021005759-2380.59410917428310333832713014874323672512143901526071111816.22%761481.58%050691755.18%38780148.31%25850551.09%713421660282567283
_Since Last GM Reset321212032301091045167401130524571658021005759-2380.59410917428310333832713014874323672512143901526071111816.22%761481.58%050691755.18%38780148.31%25850551.09%713421660282567283
_Vs Conference321212032301091045167401130524571658021005759-2380.59410917428310333832713014874323672512143901526071111816.22%761481.58%050691755.18%38780148.31%25850551.09%713421660282567283
_Vs Division13550013047371072200030241776330010023203170.6544772119103338327552487432367254991735823348714.58%29486.21%050691755.18%38780148.31%25850551.09%713421660282567283

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3238W11091742831301121439015260710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3212123230109104
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
167411305245
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
165821005759
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1111816.22%761481.58%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
487432367253338327
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
50691755.18%38780148.31%25850551.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
713421660282567283


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
18Abbotsford's Canucks5San Diego Gulls 3BLSommaire du match
423San Diego Gulls 3Colorado Eagles4ALSommaire du match
532San Diego Gulls 3Ontario Reign4ALXSommaire du match
743Rochester Americans2San Diego Gulls 1BLSommaire du match
955San Diego Gulls 5Toronto Marlies4AWXSommaire du match
1170Hartford Wolfpack5San Diego Gulls 1BLSommaire du match
1381Manitoba Moose2San Diego Gulls 4BWSommaire du match
16100Bakersfield Condors2San Diego Gulls 3BWXXSommaire du match
18108San Jose Barracuda1San Diego Gulls 3BWSommaire du match
21125San Diego Gulls 1Belleville Senators3ALSommaire du match
24146San Diego Gulls 1Providence Bruins3ALSommaire du match
25150Iowa Wild3San Diego Gulls 4BWXXSommaire du match
28168Bridgeport's Islanders3San Diego Gulls 4BWSommaire du match
30180San Diego Gulls 1Henderson Silver Knights3ALSommaire du match
32189Utica Comets4San Diego Gulls 3BLXSommaire du match
34206San Diego Gulls 4Manitoba Moose5ALSommaire du match
35209Providence Bruins1San Diego Gulls 3BWSommaire du match
38225San Diego Gulls 3Wilkes-Barre/Scranton Penguins7ALSommaire du match
42250San Diego Gulls 3Lehigh Valley Phantoms2AWSommaire du match
44260Laval Rocket2San Diego Gulls 4BWSommaire du match
46272Wilkes-Barre/Scranton Penguins4San Diego Gulls 2BLSommaire du match
48285Lehigh Valley Phantoms4San Diego Gulls 5BWXSommaire du match
52308San Diego Gulls 8Bakersfield Condors3AWSommaire du match
56327San Diego Gulls 6Charlotte Checkers5AWXSommaire du match
57337San Diego Gulls 4Texas Stars1AWSommaire du match
60352Calgary Wranglers2San Diego Gulls 4BWSommaire du match
62364San Diego Gulls 5Laval Rocket2AWSommaire du match
63371San Diego Gulls 3Chicago Wolves6ALSommaire du match
69407San Diego Gulls 4Grand Rapids Griffins3AWSommaire du match
71415Syracuse Crunch3San Diego Gulls 5BWSommaire du match
73431San Diego Gulls 3Rochester Americans4ALSommaire du match
76446Texas Stars2San Diego Gulls 3BWXXSommaire du match
79465Toronto Marlies-San Diego Gulls -
83489Hershey Bears-San Diego Gulls -
85503San Diego Gulls -Hartford Wolfpack-
87510Springfield Thunderbirds-San Diego Gulls -
89523Ontario Reign-San Diego Gulls -
90530San Diego Gulls -San Jose Barracuda-
92543San Diego Gulls -Utica Comets-
93548Colorado Eagles-San Diego Gulls -
96564Grand Rapids Griffins-San Diego Gulls -
99580Henderson Silver Knights-San Diego Gulls -
101593Belleville Senators-San Diego Gulls -
104610San Diego Gulls -Rockford IceHogs-
105617San Diego Gulls -Iowa Wild-
108632San Diego Gulls -Abbotsford's Canucks-
112656Chicago Wolves-San Diego Gulls -
117681San Diego Gulls -Bridgeport's Islanders-
118690San Diego Gulls -Springfield Thunderbirds-
120699Charlotte Checkers-San Diego Gulls -
122710San Diego Gulls -Calgary Wranglers-
124725San Diego Gulls -Hershey Bears-
126735San Diego Gulls -Syracuse Crunch-
128747Rockford IceHogs-San Diego Gulls -
132769San Diego Gulls -Syracuse Crunch-
134779Bakersfield Condors-San Diego Gulls -
135790San Diego Gulls -Belleville Senators-
137798Utica Comets-San Diego Gulls -
139811San Diego Gulls -Ontario Reign-
142831San Diego Gulls -San Jose Barracuda-
145849Rockford IceHogs-San Diego Gulls -
148867Colorado Eagles-San Diego Gulls -
149876San Diego Gulls -Wilkes-Barre/Scranton Penguins-
152894Hartford Wolfpack-San Diego Gulls -
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154908San Diego Gulls -Chicago Wolves-
155911Hershey Bears-San Diego Gulls -
157928Abbotsford's Canucks-San Diego Gulls -
160945San Diego Gulls -Toronto Marlies-
162960Springfield Thunderbirds-San Diego Gulls -
165983Providence Bruins-San Diego Gulls -
168997San Diego Gulls -Calgary Wranglers-
1691005San Diego Gulls -Iowa Wild-
1711019San Diego Gulls -Lehigh Valley Phantoms-
1731031Texas Stars-San Diego Gulls -
1741038San Diego Gulls -Rochester Americans-
1771058Charlotte Checkers-San Diego Gulls -
1791070San Diego Gulls -Grand Rapids Griffins-
1801077Henderson Silver Knights-San Diego Gulls -
1821089Manitoba Moose-San Diego Gulls -
1851111San Diego Gulls -Bridgeport's Islanders-
1891133San Diego Gulls -Laval Rocket-
1901147Bridgeport's Islanders-San Diego Gulls -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets4025
Assistance78,67361,831
Assistance PCT98.34%77.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 8782 - 87.82% 437,007$6,992,114$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,735,822$ 4,053,000$ 4,053,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,635,036$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
10,925,178$ 114 22,529$ 2,568,306$




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