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San Diego
GP: 82 | W: 41 | L: 31 | OTL: 10 | P: 92
GF: 263 | GA: 259 | PP%: 17.38% | PK%: 80.65%
DG: Michael Chouinard | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Abbotsford
36-38-8, 80pts
2
FINAL
4 San Diego
41-31-10, 92pts
Team Stats
L1SéquenceL1
19-18-4Fiche domicile24-12-5
17-20-4Fiche domicile17-19-5
5-4-1Derniers 10 matchs6-3-1
3.09Buts par match 3.21
3.41Buts contre par match 3.16
14.38%Pourcentage en avantage numérique17.38%
77.43%Pourcentage en désavantage numérique80.65%
San Diego
41-31-10, 92pts
2
FINAL
5 Iowa
24-50-8, 56pts
Team Stats
L1SéquenceW1
24-12-5Fiche domicile16-18-7
17-19-5Fiche domicile8-32-1
6-3-1Derniers 10 matchs5-4-1
3.21Buts par match 2.65
3.16Buts contre par match 4.18
17.38%Pourcentage en avantage numérique15.16%
80.65%Pourcentage en désavantage numérique78.18%
Meneurs d'équipe
Blake LizotteButs
Blake Lizotte
31
Blake LizottePasses
Blake Lizotte
45
Blake LizottePoints
Blake Lizotte
76
Plus/Moins
Jordan Weal
16
Victoires
Carter Hart
32
Pourcentage d’arrêts
Carter Hart
0.913

Statistiques d’équipe
Buts pour
263
3.21 GFG
Tirs pour
2939
35.84 Avg
Pourcentage en avantage numérique
17.4%
57 GF
Début de zone offensive
41.6%
Buts contre
259
3.16 GAA
Tirs contre
2917
35.57 Avg
Pourcentage en désavantage numérique
80.7%%
65 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralMichael Chouinard
EntraîneurJared Bednar
DivisionPacifique
ConférenceConference ouest
CapitaineMartin Marincin
Assistant #1Jordan Weal
Assistant #2Igor Ozhiganov


Informations de l’aréna

Capacité3,000
Assistance2,252
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs63


Historique d'équipe

Saison actuelle41-31-10 (92PTS)
Historique0-0-0
Coupe Stanley0


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
1Karson KulhmanXX100.00703094797876997171677172765757475000273900,000$
2Liam Foudy (R)XX100.00753293908781997573737771784242655000232800,000$
3Wyatt Johnston (R)XXX100.00773089858386998385778173773232905000203900,000$
4Sam CarrickXX100.008340737587718070846972677566692950003111,170,000$
5Richard PanikXX100.006533906675728675747473647369653550003211,170,000$
6Sam LaffertyXXX100.00823479777981857291717274785755525000282950,000$
7Jansen Harkins (R)XX100.007229908284759073757274668049495750002611,000,000$
8Michael BuntingXX100.008529858078848968696771647457526050002711,550,000$
9Jordan Weal (A)XXX100.006227917373758577877574637866613950003111,000,000$
10Joakim NygardX100.00662391757775826270636461756562365000303825,000$
11Shane PintoX100.00833295839086997791757969813938785000222900,000$
12Blake LizotteX100.00843285897679997388707673764850635000251800,000$
13Mikko LehtonenX100.007527817980828265505748887662564650002911,000,000$
14Nick SeelerX100.00734858718875924750455085755855475000303725,000$
15Igor Ozhiganov (A)X100.007433727192788553505453897161544950003031,100,000$
16Martin Marincin (C)X100.007231716895788549505146947271633250003111,100,000$
17Cal Foote (R)X100.00784269829784954952504791784746625000241800,000$
18Caleb JonesX100.00812781798589975452545388775352645000262925,000$
Rayé
MOYENNE D’ÉQUIPE100.0075328378847990667065667576565353500
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
1Casey DeSmith100.0068838574748686868681736868535000313961,000$
2Carter Hart 100.0071919380798782848582854747765000241700,000$
Rayé
MOYENNE D’ÉQUIPE100.007087897777878485868279585865500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jared Bednar82879692898981CAN5132,510,000$


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
1Blake LizotteSan Diego (ANA)C823145769760190229333802689.31%10165420.1751015692540003817253.31%234300110.9222000583
2Sam LaffertySan Diego (ANA)C/LW/RW822244669920229184268942078.21%14164220.027142172279101102293256.13%249600000.8018000715
3Jordan WealSan Diego (ANA)C/LW/RW822936651612024592416117112.03%4156519.098111949273000013452.20%15900000.8300000233
4Karson KulhmanSan Diego (ANA)LW/RW822825531020074104295691819.49%28154718.87491346253011122463251.35%11100000.6900000135
5Caleb JonesSan Diego (ANA)D8211395087007668151391087.28%90171920.986121876283000030120%000000.5801000330
6Liam FoudySan Diego (ANA)LW/RW372125461318035461623910412.96%371919.46381136137000031246.00%5000001.2813000442
7Mikko LehtonenSan Diego (ANA)D82133245-3540748716552887.88%131171820.9541216852590112243100%000000.5200000113
8Cal FooteSan Diego (ANA)D821431451269511477128508610.94%181195023.788917542800003254300%000000.4600100115
9Jakob SilfverbergAnaheimLW/RW49143044-41002749159491258.81%588718.1135832156000072049.47%9500000.9900000322
10Richard PanikSan Diego (ANA)LW/RW8214253971002959184461307.61%6126415.4214522108000001049.17%12000000.6200000111
11Vladislav NamestnikovAnaheimC/LW/RW8016203631403582166411139.64%997512.2000008000041047.14%7000000.7424000210
12Igor OzhiganovSan Diego (ANA)D826253115401105511839925.08%122173321.145510512600114260100%000000.3600000021
13Sam CarrickSan Diego (ANA)C/RW76111930-8575104122135301118.15%13103613.640112900062312153.55%146400000.5812000231
14Jansen HarkinsSan Diego (ANA)LW/RW56101525-231002842141521197.09%380514.3842623780003322048.78%12300000.6216000021
15Robert HaggAnaheimD4351520-1311115120575311419.43%7993621.7912315550220119100%000000.4300201230
16Martin MarincinSan Diego (ANA)D70415191554062445912296.78%125125817.98101280002205110%000000.3000000010
17Yanni GourdeAnaheimC/LW/RW606410316018346424549.38%75969.930000310152002148.98%4900000.3411000001
18Nick SeelerSan Diego (ANA)D512799491578273211256.25%4077115.120000300006100%000000.2300210001
19Joakim NygardSan Diego (ANA)LW8225782012224114314.88%23954.82000112000060042.68%8200000.3500000100
20Brendan SmithAnaheimD31156-102203317219194.76%2751116.5100012000043100%000000.2300000011
21Michael BuntingSan Diego (ANA)LW/RW43426-1428048336021546.67%453212.3900000000001048.84%4300000.2300000100
22Max VeronneauAnaheimRW39213-20014121516.67%0751.9400000000000050.00%1000000.7900000000
23Wyatt JohnstonSan Diego (ANA)C/LW/RW2011-120439330%03819.07000380000300100.00%400000.5200000000
24Shane PintoSan Diego (ANA)C2101-1005151620.00%03015.1800000000041050.00%4200000.6600000000
Statistiques d’équipe totales ou en moyenne1459267466733448504015301505300284821708.89%9032436716.70601041646392738257502216391753.79%726100110.60927511364035
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
1Carter Hart San Diego (ANA)67322490.9133.1039438020423360400.583246517533
2Casey DeSmithSan Diego (ANA)124600.9122.9057900283190011.0003954011
Statistiques d’équipe totales ou en moyenne79363090.9133.084522802322655041277471544


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Blake LizotteSan Diego (ANA)C251997-12-13USANo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien NHL
Cal FooteSan Diego (ANA)D241998-12-13USAYes224 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Caleb JonesSan Diego (ANA)D261997-06-06USANo194 Lbs6 ft1NoNoN/ANoNo22024-09-15FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Carter Hart San Diego (ANA)G241998-08-13CANNo181 Lbs6 ft2NoNoTrade2024-09-25NoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Casey DeSmithSan Diego (ANA)G311991-08-13USANo186 Lbs6 ft0NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm961,000$0$0$No961,000$961,000$-------961,000$961,000$-------NoNo-------Lien / Lien NHL
Igor OzhiganovSan Diego (ANA)D301992-10-13RUSNo212 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Jansen HarkinsSan Diego (ANA)LW/RW261997-05-23USAYes182 Lbs6 ft1NoNoTrade2024-11-07NoNo12024-09-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Joakim NygardSan Diego (ANA)LW301993-01-08SWENo180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Jordan WealSan Diego (ANA)C/LW/RW311992-04-15CANNo181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Karson KulhmanSan Diego (ANA)LW/RW271995-10-26USANo184 Lbs5 ft11NoNoN/ANoNo32024-09-15FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Liam FoudySan Diego (ANA)LW/RW232000-02-04CANYes188 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Martin MarincinSan Diego (ANA)D311992-02-18SVKNo218 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Michael Bunting (contrat à 1 volet)San Diego (ANA)LW/RW271995-09-17CANNo197 Lbs5 ft11NoNoTrade2025-01-04YesYes1FalseFalsePro & Farm1,550,000$15,500$0$No---------------------------Lien / Lien NHL
Mikko LehtonenSan Diego (ANA)D291994-01-16FINNo196 Lbs6 ft0NoNoN/ANoNo12024-09-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Nick SeelerSan Diego (ANA)D301993-06-03USANo199 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm725,000$0$0$No725,000$725,000$-------725,000$725,000$-------NoNo-------Lien / Lien NHL
Richard PanikSan Diego (ANA)LW/RW321991-02-07SVKNo212 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,170,000$0$0$No---------------------------Lien
Sam CarrickSan Diego (ANA)C/RW311992-02-04CANNo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,170,000$0$0$No---------------------------Lien / Lien NHL
Sam LaffertySan Diego (ANA)C/LW/RW281995-03-06USANo198 Lbs6 ft1NoNoN/ANoNo22024-09-15FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Shane PintoSan Diego (ANA)C222000-11-12USANo201 Lbs6 ft3NoNoTrade2024-10-07NoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien NHL
Wyatt JohnstonSan Diego (ANA)C/LW/RW202003-05-14CANYes184 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.35195 Lbs6 ft11.80963,800$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyBlake LizotteJordan Weal35113
2Richard PanikShane PintoWyatt Johnston30122
3Jansen HarkinsSam LaffertyKarson Kulhman25122
4Joakim NygardSam CarrickMichael Bunting10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteCaleb Jones35122
2Igor OzhiganovMartin Marincin30122
3Mikko LehtonenNick Seeler25122
4Mikko LehtonenNick Seeler10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudySam LaffertyJordan Weal50122
2Wyatt JohnstonBlake LizotteRichard Panik50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteCaleb Jones50122
2Mikko LehtonenIgor Ozhiganov50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam LaffertyKarson Kulhman50122
2Shane PintoWyatt Johnston50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteMartin Marincin50122
2Mikko LehtonenIgor Ozhiganov50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Wyatt Johnston50122Cal FooteMartin Marincin50122
2Sam Lafferty50122Caleb JonesIgor Ozhiganov50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane PintoWyatt Johnston50122
2Sam CarrickJoakim Nygard50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin MarincinNick Seeler50122
2Mikko LehtonenIgor Ozhiganov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake LizotteJordan WealJansen HarkinsCaleb JonesIgor Ozhiganov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Karson KulhmanSam LaffertyBlake LizotteMartin MarincinCal Foote
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Richard Panik, Jansen Harkins, Sam LaffertyKarson Kulhman, Sam CarrickLiam Foudy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Igor Ozhiganov, Mikko Lehtonen, Caleb JonesIgor OzhiganovNick Seeler, Cal Foote
Tirs de pénalité
Sam Lafferty, Sam Carrick, Jansen Harkins, Blake Lizotte, Shane Pinto
Gardien
#1 : Carter Hart , #2 : Casey DeSmith
Lignes d’attaque personnalisées en prolongation
Shane Pinto, Wyatt Johnston, Jordan Weal, Liam Foudy, Sam Lafferty, Richard Panik, Blake Lizotte, Jansen Harkins, Sam Carrick, Karson Kulhman
Lignes de défense personnalisées en prolongation
Cal Foote, Caleb Jones, Martin Marincin, Mikko Lehtonen, Igor Ozhiganov


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
1Abbotsford431000001798220000008352110000096360.75017324900919766141679259909896112539367721523.81%18383.33%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
2Bakersfield4100012013103210000108532000011055070.87513193200919766141709259909896113635407618316.67%19478.95%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
3Bridgeport330000001165220000007431100000042261.0001121320091976614137925990989619226165415320.00%8187.50%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
4Charlotte3210000014122110000006512110000087140.66714274100919766141209259909896110234164719631.58%8362.50%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
5Cleveland30200001815-71000000134-120200000511-610.16781523009197661494925990989611153839461100.00%17758.82%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
6Coachella Valley514000001117-62020000037-431200000810-220.20011213210919766141809259909896116743317917317.65%120100.00%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
7Eagles41300000914-52020000049-52110000055020.250915240091976614115925990989611444249671516.67%22481.82%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
8Grand Rapids3110100078-12010100057-21100000021140.667712190091976614101925990989611173840641000.00%20670.00%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
9Hartford421000011192320000019631010000023-150.62511172800919766141219259909896112335306215640.00%140100.00%11696324852.22%1687321252.52%697134551.82%2007136818956201081548
10Hershey3030000069-31010000012-12020000057-200.0006915009197661486925990989611112646571000.00%20480.00%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
11Iowa4310000015114220000008352110000078-160.75015254000919766141459259909896112738325925728.00%15380.00%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
12Laval3210000010731010000014-32200000093640.6671014240091976614113925990989611203433471218.33%9188.89%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
13Lehigh Valley30201000811-3100010003212020000059-420.33381624009197661411692599098961136464268600.00%19478.95%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
14Manitoba4210001016142210000108622110000088060.75016264200919766141369259909896114647497713538.46%20290.00%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
15Ontario413000001014-42020000047-32110000067-120.2501019290091976614124925990989611423526741218.33%11281.82%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
16Providence30000201710-31000010034-12000010146-230.500713200091976614130925990989619918184914214.29%70100.00%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
17Rochester312000001112-1211000009811010000024-220.3331119300091976614110925990989611012926379111.11%12466.67%11696324852.22%1687321252.52%697134551.82%2007136818956201081548
18Rockford4120001010100211000003212010001078-140.50010132300919766141299259909896113638286617211.76%13284.62%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
19San Jose412001001617-1211000009812010010079-230.37516284400919766141409259909896119153485514535.71%22577.27%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
20Springfield411002001519-42100010088020100100711-440.50015284300919766141609259909896116146367818316.67%17382.35%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
21Syracuse31001001871210000015501000100032150.83381624009197661412192599098961982320521100.00%9277.78%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
22Texas430010001688220000008262100100086281.00016254101919766141189259909896113233366810110.00%17382.35%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
23Wilkes-Barre/Scranton3200100014104220000009631000100054161.0001423370091976614106925990989619628144116212.50%7271.43%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
Total823231056442632594412012022231321171541121903421131142-11920.5612634537161191976614293992599098961291782475114003285717.38%3366580.65%21696324852.22%1687321252.52%697134551.82%2007136818956201081548
_Since Last GM Reset823231056442632594412012022231321171541121903421131142-11920.5612634537161191976614293992599098961291782475114003285717.38%3366580.65%21696324852.22%1687321252.52%697134551.82%2007136818956201081548
_Vs Conference451818014401481435221180012071601123710013207783-6500.556148251399119197661415849259909896116074494117761803620.00%1863183.33%01696324852.22%1687321252.52%697134551.82%2007136818956201081548
_Vs Division217100022067670104500010323021135002103537-2200.47667119186109197661478192599098961761205181361821720.73%821482.93%01696324852.22%1687321252.52%697134551.82%2007136818956201081548

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292L126345371629392917824751140011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8232315644263259
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120122223132117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4112193421131142
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3285717.38%3366580.65%2
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
9259909896191976614
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
1696324852.22%1687321252.52%697134551.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2007136818956201081548


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
311Hartford4San Diego3LXXSommaire du match
628Coachella Valley3San Diego1LSommaire du match
837San Diego3Coachella Valley2WSommaire du match
1151Texas0San Diego5WSommaire du match
1362San Diego5Texas4WXSommaire du match
1574San Diego3Manitoba4LSommaire du match
1783Wilkes-Barre/Scranton3San Diego4WSommaire du match
1998San Diego2Bakersfield3LXSommaire du match
21106Hartford1San Diego2WSommaire du match
23116San Diego3Eagles1WSommaire du match
24128Syracuse4San Diego3LXXSommaire du match
28142San Diego6Laval2WSommaire du match
29151San Jose5San Diego4LSommaire du match
31163San Diego3Charlotte5LSommaire du match
34176Springfield3San Diego4WSommaire du match
36187San Diego5Springfield8LSommaire du match
38199Grand Rapids3San Diego0LSommaire du match
40211San Diego5Wilkes-Barre/Scranton4WXSommaire du match
41219San Diego3Bakersfield2WXXSommaire du match
43229Lehigh Valley2San Diego3WXSommaire du match
46247Grand Rapids4San Diego5WXSommaire du match
51268San Diego2Hartford3LSommaire du match
52275San Jose3San Diego5WSommaire du match
55293Coachella Valley4San Diego2LSommaire du match
56304San Diego5Charlotte2WSommaire du match
59318Charlotte5San Diego6WSommaire du match
61331San Diego3Texas2WSommaire du match
63341Ontario3San Diego2LSommaire du match
65356San Diego3Laval1WSommaire du match
67365Eagles3San Diego2LSommaire du match
71385Iowa1San Diego4WSommaire du match
73391San Diego4Bridgeport2WSommaire du match
75400San Diego2Rochester4LSommaire du match
78413Texas2San Diego3WSommaire du match
80425San Diego3Cleveland7LSommaire du match
82436Wilkes-Barre/Scranton3San Diego5WSommaire du match
84443San Diego2Grand Rapids1WSommaire du match
86454San Diego2Springfield3LXSommaire du match
88467Manitoba2San Diego3WSommaire du match
91482San Diego3Lehigh Valley5LSommaire du match
93492Hartford1San Diego4WSommaire du match
95508San Diego2Lehigh Valley4LSommaire du match
97515Manitoba4San Diego5WXXSommaire du match
99524San Diego2Coachella Valley3LSommaire du match
101538Cleveland4San Diego3LXXSommaire du match
103545San Diego3Coachella Valley5LSommaire du match
106560San Diego3Syracuse2WXSommaire du match
108567Syracuse1San Diego2WSommaire du match
111584Springfield5San Diego4LXSommaire du match
116605Iowa2San Diego4WSommaire du match
118616San Diego2Eagles4LSommaire du match
120623San Diego2Cleveland4LSommaire du match
124637Hershey2San Diego1LSommaire du match
126649San Diego5Manitoba4WSommaire du match
128660Laval4San Diego1LSommaire du match
129667San Diego2Abbotsford4LSommaire du match
132682Eagles6San Diego2LSommaire du match
134694San Diego7Abbotsford2WSommaire du match
135704Bakersfield2San Diego4WSommaire du match
137713San Diego4Rockford3WXXSommaire du match
140731Ontario4San Diego2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
142738San Diego3Rockford5LSommaire du match
145755Providence4San Diego3LXSommaire du match
148770San Diego3Hershey4LSommaire du match
149778San Diego2Providence3LXSommaire du match
151788Bakersfield3San Diego4WXXSommaire du match
154802Rochester6San Diego5LSommaire du match
155813San Diego2San Jose3LXSommaire du match
157825Rockford1San Diego3WSommaire du match
160837San Diego6Ontario4WSommaire du match
162845San Diego2Hershey3LSommaire du match
163855Rockford1San Diego0LSommaire du match
165862San Diego5San Jose6LSommaire du match
167876Abbotsford1San Diego4WSommaire du match
171893San Diego2Providence3LXXSommaire du match
173901Rochester2San Diego4WSommaire du match
177922Bridgeport2San Diego4WSommaire du match
179931San Diego5Iowa3WSommaire du match
182943Bridgeport2San Diego3WSommaire du match
184956San Diego0Ontario3LSommaire du match
188969Abbotsford2San Diego4WSommaire du match
191975San Diego2Iowa5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,00930,317
Assistance PCT75.62%73.94%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2252 - 75.06% 132,035$5,413,443$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,301,033$ 1,772,600$ 1,772,600$ 2,510,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,137$ 1,791,061$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 22,075$ 0$




San Diego 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 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 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 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 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