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San Diego
GP: 11 | W: 6 | L: 5
GF: 51 | GA: 38 | PP%: 21.67% | PK%: 76.60%
DG: Michael Chouinard | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
San Diego
6-5-0, 12pts
5
FINAL
6 San Jose
16-4-0, 32pts
Team Stats
L1SéquenceW1
2-3-0Fiche domicile9-2-0
4-2-0Fiche domicile7-2-0
5-3-2Derniers 10 matchs9-1-0
4.64Buts par match 5.45
3.45Buts contre par match 3.85
21.67%Pourcentage en avantage numérique33.67%
76.60%Pourcentage en désavantage numérique75.27%
San Jose
16-4-0, 32pts
6
FINAL
4 San Diego
6-5-0, 12pts
Team Stats
W1SéquenceL1
9-2-0Fiche domicile2-3-0
7-2-0Fiche domicile4-2-0
9-1-0Derniers 10 matchs5-3-2
5.45Buts par match 4.64
3.85Buts contre par match 3.45
33.67%Pourcentage en avantage numérique21.67%
75.27%Pourcentage en désavantage numérique76.60%
Meneurs d'équipe
Buts
Richard Panik
7
Passes
Sam Carrick
10
Points
Sam Carrick
15
Plus/Moins
Sam Carrick
8
Victoires
Ilya Samsonov
4
Pourcentage d’arrêts
Ilya Samsonov
0.926

Statistiques d’équipe
Buts pour
51
4.64 GFG
Tirs pour
540
49.09 Avg
Pourcentage en avantage numérique
21.7%
13 GF
Début de zone offensive
42.6%
Buts contre
38
3.45 GAA
Tirs contre
461
41.91 Avg
Pourcentage en désavantage numérique
76.6%%
11 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralMichael Chouinard
EntraîneurScott Arniel
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,720
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs49


Historique d'équipe

Saison actuelle6-5
Historique90-64-13 (0.539%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)7-9
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 moyen
1Karson Kulhman (R)XX100.00733097797976996970676973755353535000261700,000$
2Cody HodgsonXXX100.00663186677490927277747060876759395000321800,000$
3Sam CarrickXX100.008640797686738073847075697564653450003021,170,000$
4Richard PanikXX100.006935906975748675747474677367634050003121,170,000$
5Sam LaffertyXXX100.00843582788082847291717275785355585000271775,000$
6Maxime MacenauerX100.00602594727674726490656669666751195000332550,000$
7James NealXX100.008133816277818273706972637881704350003411,160,000$
8Vladislav NamestnikovXXX100.006830998670899872816871637952456150002931,160,000$
9Joakim NygardX100.00702591767776826671656862766260405000294825,000$
10Sheldon DriesXXX100.00824590777773996586647163755959435000281550,000$
11Mike GreenX100.006626806171818362505555877783761950003611,170,000$
12Mikko LehtonenX100.00792785797883816350554688765856525000281750,000$
13Christian WolaninX100.00712383769082854350414282755348545000272750,000$
14Nick SeelerX100.00734759729075925050495285765752515000294725,000$
15Igor OzhiganovX100.007433727294798551505251897158525550002941,100,000$
16Cal Foote (R)X100.00794074789480934450454489754343665000232800,000$
17Caleb Jones (R)X100.00842580788387955150524988755050705000251600,000$
Rayé
1Max Veronneau (R)X100.00652997769070816572646763774748535000263775,000$
2Luke AdamXX100.00633193597376916579636566735544345000321750,000$
3Kris VersteegXX100.00552693646670806770666861797372285000361957,000$
4Matt TennysonX100.00742598758475853970413885776971185000323550,000$
MOYENNE D’ÉQUIPE100.0072318673807887626860617476615744500
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 moyen
1Casey DeSmith100.0069838674768587868881736666555000301900,000$
2Ilya Samsonov (R)100.0067878682778787888880674949755000251800,000$
Rayé
MOYENNE D’ÉQUIPE100.006885867877868787888170585865500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel73798080959263CAN601500,000$


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
1Sam CarrickSan Diego (ANA)C/RW1151015840253142172511.90%419818.063361343000000157.99%31900001.5100000110
2Richard PanikSan Diego (ANA)LW/RW1174117405113992917.95%319217.54224743000000170.00%1000001.1400000100
3Mike GreenSan Diego (ANA)D115611140732671719.23%1420718.85123134600000100%000001.0600000010
4Maxime MacenauerSan Diego (ANA)C1128107205363510175.71%319918.13000000003341054.29%24500001.0000000100
5Jordan WealAnaheimC/LW/RW115510800273482414.71%315013.6700000000100050.00%1200001.3300000010
6Liam FoudyAnaheimLW/RW11369-140064417286.82%112311.241452451000001070.00%1000001.4600000000
7Mikko LehtonenSan Diego (ANA)D11279312012213313226.06%1825923.561341947000029000%000000.6900000100
8Karson KulhmanSan Diego (ANA)LW/RW11448-200111734202611.76%321019.1411211430000361038.10%2100100.7600000100
9Sam LaffertySan Diego (ANA)C/LW/RW11358-10018183712238.11%115814.4012323510001350052.54%29500001.0100000001
10Cal FooteSan Diego (ANA)D11268340167276267.41%1123020.99224154700000000%000000.6900000002
11James NealSan Diego (ANA)LW/RW115278801142821717.86%116715.2300000000001058.82%1700000.8400000100
12Cody HodgsonSan Diego (ANA)C/LW/RW11156-24028227144.55%315414.021458510002340044.19%8600000.7800000000
13Igor OzhiganovSan Diego (ANA)D1106618021513690%2019217.5200000000031000%000000.6200000000
14Vladislav NamestnikovSan Diego (ANA)C/LW/RW11235-1120910258188.00%112211.1000000000000046.46%19800000.8200000000
15Sheldon DriesSan Diego (ANA)C/LW/RW11325713513153710318.11%216114.7200000000000081.82%1100000.6200010001
16Christian WolaninSan Diego (ANA)D11134612061015566.67%1217916.3500000000010100%000000.4400000010
17Nick SeelerSan Diego (ANA)D11044413518711250%1616715.2700000000035000%000000.4800001000
18Joakim NygardSan Diego (ANA)LW11123-3009612398.33%011810.7400000000010066.67%1200000.5100000000
19Caleb JonesSan Diego (ANA)D1102244064263100%1512311.270112546000036000%000000.3200000010
Statistiques d’équipe totales ou en moyenne209519014157108101962265401653569.44%131331915.8813243715847400072866253.24%123600100.8500011654
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
1Ilya SamsonovSan Diego (ANA)74210.9262.9243200212850100074110
2Casey DeSmithSan Diego (ANA)42110.9034.1324700171760000047000
Statistiques d’équipe totales ou en moyenne116320.9183.35680003846101001111110


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 Forcer UFA Rappel d'urgence 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
Cal FooteSan Diego (ANA)D231998-12-13 03:53:55Yes224 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------
Caleb JonesSan Diego (ANA)D251997-06-06 03:55:58Yes194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No------------------
Casey DeSmithSan Diego (ANA)G301991-08-13 06:42:45No186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Christian WolaninSan Diego (ANA)D271995-03-17No192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Cody HodgsonSan Diego (ANA)C/LW/RW321990-02-18No202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien
Igor OzhiganovSan Diego (ANA)D291992-10-13No212 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$------NoNoNo------Lien
Ilya SamsonovSan Diego (ANA)G251997-02-22 03:31:53Yes214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
James NealSan Diego (ANA)LW/RW341987-09-03No226 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,160,000$0$0$No------------------Lien
Joakim NygardSan Diego (ANA)LW291993-01-08No180 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm825,000$0$0$No825,000$825,000$825,000$------NoNoNo------Lien
Karson KulhmanSan Diego (ANA)LW/RW261995-10-26 23:01:14Yes184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No------------------
Kris VersteegSan Diego (ANA)LW/RW361986-05-13No179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm957,000$0$0$No------------------Lien
Luke AdamSan Diego (ANA)C/LW321990-01-01No216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Matt TennysonSan Diego (ANA)D321990-04-23 08:06:35No205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm550,000$0$0$No550,000$550,000$-------NoNo-------Lien
Max VeronneauSan Diego (ANA)RW261995-12-12Yes195 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Maxime MacenauerSan Diego (ANA)C331989-01-01No205 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Mike GreenSan Diego (ANA)D361985-10-12No211 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,170,000$0$0$No------------------Lien
Mikko LehtonenSan Diego (ANA)D281994-01-16 06:34:35No196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nick SeelerSan Diego (ANA)D291993-06-03No199 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm725,000$0$0$No725,000$725,000$725,000$------NoNoNo------Lien
Richard PanikSan Diego (ANA)LW/RW311991-02-07No212 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,170,000$0$0$No1,170,000$--------No--------Lien
Sam CarrickSan Diego (ANA)C/RW301992-02-04 12:28:46No205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,170,000$0$0$No1,170,000$--------No--------Lien
Sam LaffertySan Diego (ANA)C/LW/RW271995-03-06No198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien
Sheldon DriesSan Diego (ANA)C/LW/RW281994-04-23 16:28:47No180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm550,000$0$0$No------------------
Vladislav NamestnikovSan Diego (ANA)C/LW/RW291992-11-22No188 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,160,000$0$0$No1,160,000$1,160,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.43200 Lbs6 ft11.87847,261$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam LaffertyCody Hodgson35122
2Richard PanikSam Carrick30122
3Karson KulhmanVladislav NamestnikovJames Neal25122
4Sheldon DriesMaxime MacenauerJoakim Nygard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteMikko Lehtonen35122
2Igor OzhiganovMike Green30122
3Christian WolaninNick Seeler25122
4Christian WolaninCaleb Jones10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cody HodgsonSam Lafferty50122
2Richard PanikSam CarrickKarson Kulhman50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteMikko Lehtonen50122
2Caleb JonesMike Green50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cody HodgsonMaxime Macenauer50122
2Sam LaffertyKarson Kulhman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesMikko Lehtonen50122
2Igor OzhiganovNick Seeler50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Cal FooteMikko Lehtonen50122
2Cody Hodgson50122Igor OzhiganovCaleb Jones50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam CarrickKarson Kulhman50122
2Maxime MacenauerSheldon Dries50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninNick Seeler50122
2Igor OzhiganovMike Green50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cody HodgsonSam LaffertyCal FooteCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam LaffertyKarson KulhmanCal FooteMikko Lehtonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Nygard, James Neal, Karson KulhmanJoakim Nygard, James NealKarson Kulhman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Caleb Jones, Nick Seeler, Christian WolaninCal FooteNick Seeler, Christian Wolanin
Tirs de pénalité
, Cody Hodgson, Sam Lafferty, Sam Carrick, Richard Panik
Gardien
#1 : Ilya Samsonov, #2 : Casey DeSmith
Lignes d’attaque personnalisées en prolongation
Sam Lafferty, , , Sam Carrick, Richard Panik, Cody Hodgson, Cody Hodgson, James Neal, Karson Kulhman, Vladislav Namestnikov,
Lignes de défense personnalisées en prolongation
Cal Foote, Caleb Jones, Mikko Lehtonen, Igor Ozhiganov, Mike Green


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
1Eagles5410000027141321100000981330000001861280.8002746730020161502581701711752419351448829724.14%21576.19%030152657.22%26251351.07%9519748.22%2811952518814875
2San Jose624000002424031200000911-2312000001513240.33324446800201615028217017117524268806410831619.35%26676.92%030152657.22%26251351.07%9519748.22%2811952518814875
Total116500000513813523000001819-164200000331914120.545519014100201615054017017117524461131108196601321.67%471176.60%030152657.22%26251351.07%9519748.22%2811952518814875
_Since Last GM Reset116500000513813523000001819-164200000331914120.545519014100201615054017017117524461131108196601321.67%471176.60%030152657.22%26251351.07%9519748.22%2811952518814875
_Vs Conference116500000513813523000001819-164200000331914120.545519014100201615054017017117524461131108196601321.67%471176.60%030152657.22%26251351.07%9519748.22%2811952518814875
_Vs Division665000002424032300000911-23420000015132121.00024446800201615028217017117524268806410831619.35%26676.92%030152657.22%26251351.07%9519748.22%2811952518814875

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L1519014154046113110819600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500005138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001819
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64200003319
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
601321.67%471176.60%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
170171175242016150
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
30152657.22%26251351.07%9519748.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2811952518814875


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
28San Diego4Eagles3WSommaire du match
416San Diego4Eagles2WSommaire du match
624Eagles4San Diego3LXSommaire du match
832Eagles4San Diego6WSommaire du match
1040San Diego10Eagles1WSommaire du match
1660San Diego6San Jose2WSommaire du match
1864San Diego4San Jose5LSommaire du match
2068San Jose2San Diego3WSommaire du match
2272San Jose3San Diego2LSommaire du match
2476San Diego5San Jose6LXSommaire du match
2680San Jose6San Diego4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance9,1864,413
Assistance PCT91.86%88.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2720 - 90.66% 159,756$798,782$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,948,700$ 1,948,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




San Diego 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
1Richard Panik1616210016227329716861910.02%24283217.59223860152000011246.22%01.1401
2Sam Carrick15663831461918539626458010.86%39308419.77142842130112129355.82%00.9500
3Jordan Weal148568914511145522552410.69%24276818.7015274210600059354.61%11.0512
4Sam Lafferty140558514022943163225729.62%29283720.27162844146202126555.78%00.9902
5Mikko Lehtonen1562995124161201751633219.03%294336121.55924331570224200%00.7400

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
1Casey DeSmith92463650.9113.35537316230033650620.80010
2Ilya Samsonov47261830.9083.9427116017819320110.81811
3Justin Pogge2616720.9132.83148501708020200.6679

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
Saison régulière
2082422905123303244594124130111116011743411816040121431271610230353784014106949683021993926106853274073070013723187724.21%2974883.84%41750332652.62%1560306750.86%729139852.15%1991136118796081083549
218235350452134233012411517043111671625412018002101751687883426049462013210410083775127912751191413566102977014713748622.99%3278075.54%32014381452.81%1829363050.39%809149154.26%1965132518826361101554
Total Saison régulière1647764096446455747182393005422327279488238340422231829523190645114117863423819819616679622722201225994630617591470284369216323.55%62412879.49%73764714052.72%3389669750.60%1538288953.24%395726873762124421851103
Séries éliminatoires
20514000001721-421100000119230300000612-6217314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
21116500000513813523000001819-16420000033191412519014100201615054017017117524461131108196601321.67%471176.60%030152657.22%26251351.07%9519748.22%2811952518814875
Total Séries éliminatoires1679000006859973400000292819450000039318146812118900252419071421822724524639183154278761317.11%681380.88%140571556.64%37172151.46%14928452.46%393272374126213107

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
1Sam Carrick16713205437406410.94%530419.023361601100158.04%01.3100
2Jordan Weal1679161103134615.22%425015.65000300011055.00%01.2800
3Mike Green166814281363815.79%1831519.71123180110100%00.8900
4Richard Panik168412046165514.55%327817.392241100000170.00%00.8600
5Maxime Macenauer11281072536355.71%319918.13000000031054.29%01.0000

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
1Ilya Samsonov74210.9262.92432002128501000
2Casey DeSmith83410.8904.21470003330100000
3Justin Pogge20100.9063.90770055300000