Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Connexion

San Diego
GP: 82 | W: 41 | L: 35 | OTL: 6 | P: 88
GF: 342 | GA: 330 | PP%: 22.99% | PK%: 75.54%
DG: Michael Chouinard | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
San Diego
41-35-6, 88pts
2
FINAL
3 Manitoba
41-36-5, 87pts
Team Stats
OTL1SéquenceL1
20-17-4Fiche domicile27-12-2
21-18-2Fiche domicile14-24-3
6-3-1Derniers 10 matchs6-4-0
4.17Buts par match 3.95
4.02Buts contre par match 3.74
22.99%Pourcentage en avantage numérique25.78%
75.54%Pourcentage en désavantage numérique82.91%
Syracuse
48-31-3, 99pts
5
FINAL
4 San Diego
41-35-6, 88pts
Team Stats
W1SéquenceOTL1
25-16-0Fiche domicile20-17-4
23-15-3Fiche domicile21-18-2
5-4-1Derniers 10 matchs6-3-1
4.22Buts par match 4.17
4.01Buts contre par match 4.02
23.12%Pourcentage en avantage numérique22.99%
79.05%Pourcentage en désavantage numérique75.54%
Meneurs d'équipe
Buts
Liam Foudy
48
Passes
Mikko Lehtonen
54
Points
Liam Foudy
91
Plus/Moins
Karson Kulhman
17
Victoires
Ilya Samsonov
26
Pourcentage d’arrêts
Casey DeSmith
0.909

Statistiques d’équipe
Buts pour
342
4.17 GFG
Tirs pour
3775
46.04 Avg
Pourcentage en avantage numérique
23.0%
86 GF
Début de zone offensive
42.7%
Buts contre
330
4.02 GAA
Tirs contre
3566
43.49 Avg
Pourcentage en désavantage numérique
75.5%%
80 GA
Début de la zone défensive
40.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,275
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs49


Historique d'équipe

Saison actuelle41-35-6 (88PTS)
Historique131-99-18 (0.528%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1-4
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$
2Liam Foudy (R)XX100.00783097858477997170697373753939685000223800,000$
3Cody HodgsonXXX100.00663186677490927277747060876759395000321800,000$
4Sam CarrickXX100.008640787686738072847075697564653450003021,170,000$
5Richard PanikXX100.006935906975748675747474667367634050003121,170,000$
6Sam LaffertyXXX100.00843582788082847291717276785355585000271775,000$
7Maxime MacenauerX98.00602594727674726490656669666751195000332550,000$
8James NealXX100.008133816277818273706972637881704350003411,160,000$
9Vladislav NamestnikovXXX100.006830998670899872816871647952456150002931,160,000$
10Jordan WealXXX100.006427907472778576887473647862584550003021,000,000$
11Joakim NygardX100.00702590767776826671656862766160415000294825,000$
12Sheldon DriesXXX100.00824590777773996586647163755959435000281550,000$
13Mike GreenX100.006626806272818362505555877783761950003611,170,000$
14Mikko LehtonenX100.00792785797883816350554688765856525000281750,000$
15Christian WolaninX100.00712383769082854350404182755348545000272750,000$
16Nick SeelerX100.00734759729075924950485285765752515000294725,000$
17Igor OzhiganovX100.007433727294798551505251897158525550002941,100,000$
18Cal Foote (R)X100.00794074789480934450454389754343665000232800,000$
19Caleb Jones (R)X100.00852580788387955150524987755050705000251600,000$
Rayé
1Luke AdamXX100.00633193597376916579636566735544345000321750,000$
2Kris VersteegXX100.00552693646670806770666861797372285000361957,000$
3Matt TennysonX100.00742598758475853970413885776971185000323550,000$
MOYENNE D’ÉQUIPE99.9173318673807988636961627476605645500
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 DeSmith97.0069838674768586868881736666565000301900,000$
2Ilya Samsonov (R)100.0067878682778787888780674949755000251800,000$
Rayé
MOYENNE D’ÉQUIPE98.506885867877868787888170585866500
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
1Liam FoudySan Diego (ANA)LW/RW77484391-63208113542010428811.43%13144918.831615311052810003587044.90%24500121.2613000737
2Cody HodgsonSan Diego (ANA)C/LW/RW81275178-2380781512646818610.23%16164420.30418225728401131517152.17%182300000.9522000254
3Jordan WealSan Diego (ANA)C/LW/RW77304575-360351222737521710.99%18135617.62101424561830000734054.41%116700011.1111000174
4Richard PanikSan Diego (ANA)LW/RW7928447251203979322912548.70%13140917.8591625852800000155144.29%14000001.0201000244
5Mikko LehtonenSan Diego (ANA)D8218547235207495194671199.28%177179021.8451419882310112204000%000000.8000000531
6Sam CarrickSan Diego (ANA)C/RW7424446859610187135285611918.42%20139418.8471623742640003793257.21%151900000.9800002131
7Sam LaffertySan Diego (ANA)C/LW/RW682442661560162143291821888.25%18139920.58713207225210181962256.05%162700000.9402000425
8Mike GreenSan Diego (ANA)D82154661-32606675186851278.06%130153918.7871219102311000194200%000000.7900000311
9Karson KulhmanSan Diego (ANA)LW/RW79253055172406887278701958.99%16124615.782572593000102043048.03%15200010.8800000332
10Igor OzhiganovSan Diego (ANA)D821836549655116621454110812.41%152159219.426612491570111225120%000000.6800001204
11Vladislav NamestnikovSan Diego (ANA)C/LW/RW81172845111603783199491268.54%77789.6100001000032348.05%102800001.1601000153
12James NealSan Diego (ANA)LW/RW82152237143159439154451129.74%684410.30044323000022155.26%7600000.8800001100
13Cal FooteSan Diego (ANA)D764323613102101155113138983.05%119151920.0027950207000092100%000000.4700100013
14Caleb JonesSan Diego (ANA)D64725324280674811933675.88%7990414.1451116812300000195010%000000.7100000100
15Nick SeelerSan Diego (ANA)D8271926-2103251145011624646.03%142124415.1710115450001148000%000000.4200203001
16Maxime MacenauerSan Diego (ANA)C7981523-36030689424628.51%116878.700000010131341155.19%81000000.6700000000
17Brendan SmithAnaheimD195172210361033285517339.09%5246624.542682155011061100%000000.9400002111
18Sheldon DriesSan Diego (ANA)C/LW/RW42912215255463888176010.23%445710.8900000000070055.67%40600000.9200100010
19Christian WolaninSan Diego (ANA)D7141014534029284521278.89%7190512.7610133000152000%000000.3100000000
20Kris VersteegSan Diego (ANA)LW/RW4957122006153853613.16%12525.1600001000000050.00%2400000.9500000011
21Joakim NygardSan Diego (ANA)LW76358-814023216216484.84%44586.03000140000130060.34%5800000.3500000000
22Blake LizotteAnaheimC4123-2601112316153.23%19423.63011291013130058.86%15800000.6300000010
23Matt TennysonSan Diego (ANA)D12011-4406147240%51109.250000000009000%000000.1800000000
24Max VeronneauAnaheimRW2000100223040%0178.830000000000000%00000000000000
25Luke AdamSan Diego (ANA)C/LW1000100112000%01313.1300000000000070.00%200000000000000
Statistiques d’équipe totales ou en moyenne15213426309727381270152015823802104126299.00%10752357915.50841582428892922347392037411453.77%925300140.82410409344142
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)47261830.9083.9427116017819320110.818114634322
2Casey DeSmithSan Diego (ANA)38151730.9093.992211801471611041003636320
Statistiques d’équipe totales ou en moyenne85413560.9083.9649221403253543052118270642


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Lien
Cal FooteSan Diego (ANA)D231998-12-13 03:53:55Yes224 Lbs6 ft5NoNoNoNo2Pro & Farm800,000$4,678$0$0$No800,000$
Caleb JonesSan Diego (ANA)D251997-06-06 03:55:58Yes194 Lbs6 ft1NoNoNoNo1Pro & Farm600,000$3,509$0$0$No
Casey DeSmithSan Diego (ANA)G301991-08-13 06:42:45No186 Lbs6 ft0NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Christian WolaninSan Diego (ANA)D271995-03-17No192 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$4,386$0$0$No750,000$Lien
Cody HodgsonSan Diego (ANA)C/LW/RW321990-02-18No202 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Igor OzhiganovSan Diego (ANA)D291992-10-13No212 Lbs6 ft2NoNoNoNo4Pro & Farm1,100,000$6,433$0$0$No1,100,000$1,100,000$1,100,000$Lien
Ilya SamsonovSan Diego (ANA)G251997-02-22 03:31:53Yes214 Lbs6 ft3NoNoNoNo1Pro & Farm800,000$4,678$0$0$No
James NealSan Diego (ANA)LW/RW341987-09-03No226 Lbs6 ft2NoNoNoNo1Pro & Farm1,160,000$6,784$0$0$NoLien
Joakim NygardSan Diego (ANA)LW291993-01-08No180 Lbs6 ft0NoNoNoNo4Pro & Farm825,000$4,825$0$0$No825,000$825,000$825,000$Lien
Jordan WealSan Diego (ANA)C/LW/RW301992-04-15No181 Lbs5 ft10NoNoNoNo2Pro & Farm1,000,000$5,848$0$0$No1,000,000$Lien
Karson KulhmanSan Diego (ANA)LW/RW261995-10-26 23:01:14Yes184 Lbs5 ft11NoNoNoNo1Pro & Farm700,000$4,094$0$0$No
Kris VersteegSan Diego (ANA)LW/RW361986-05-13No179 Lbs5 ft11NoNoNoNo1Pro & Farm957,000$5,596$0$0$NoLien
Liam FoudySan Diego (ANA)LW/RW222000-02-04 02:43:09Yes188 Lbs6 ft2NoNoNoNo3Pro & Farm800,000$4,678$0$0$No800,000$800,000$
Luke AdamSan Diego (ANA)C/LW321990-01-01No216 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$4,386$0$0$NoLien
Matt TennysonSan Diego (ANA)D321990-04-23 08:06:35No205 Lbs6 ft2NoNoNoNo3Pro & Farm550,000$3,216$0$0$No550,000$550,000$Lien
Maxime MacenauerSan Diego (ANA)C331989-01-01No205 Lbs5 ft11NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Mike GreenSan Diego (ANA)D361985-10-12No211 Lbs6 ft1NoNoNoNo1Pro & Farm1,170,000$6,842$0$0$NoLien
Mikko LehtonenSan Diego (ANA)D281994-01-16 06:34:35No196 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$4,386$0$0$NoLien
Nick SeelerSan Diego (ANA)D291993-06-03No199 Lbs6 ft2NoNoNoNo4Pro & Farm725,000$4,240$0$0$No725,000$725,000$725,000$Lien
Richard PanikSan Diego (ANA)LW/RW311991-02-07No212 Lbs6 ft1NoNoNoNo2Pro & Farm1,170,000$6,842$0$0$No1,170,000$Lien
Sam CarrickSan Diego (ANA)C/RW301992-02-04 12:28:46No205 Lbs6 ft0NoNoNoNo2Pro & Farm1,170,000$6,842$0$0$No1,170,000$Lien
Sam LaffertySan Diego (ANA)C/LW/RW271995-03-06No198 Lbs6 ft1NoNoNoNo1Pro & Farm775,000$4,532$0$0$NoLien
Sheldon DriesSan Diego (ANA)C/LW/RW281994-04-23 16:28:47No180 Lbs5 ft9NoNoNoNo1Pro & Farm550,000$3,216$0$0$No
Vladislav NamestnikovSan Diego (ANA)C/LW/RW291992-11-22No188 Lbs5 ft11NoNoNoNo3Pro & Farm1,160,000$6,784$0$0$No1,160,000$1,160,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2429.29199 Lbs6 ft11.88854,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon DriesMaxime MacenauerJames Neal35122
2Richard PanikSam CarrickJordan Weal30122
3Karson KulhmanVladislav NamestnikovJoakim Nygard25122
4Liam FoudySam LaffertyCody Hodgson10122
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 LaffertyLiam Foudy50122
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
1Liam Foudy50122Cal 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 LaffertyLiam FoudyCal FooteCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudySam 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
Liam Foudy, Cody Hodgson, Sam Lafferty, Sam Carrick, Richard Panik
Gardien
#1 : Casey DeSmith, #2 : Ilya Samsonov
Lignes d’attaque personnalisées en prolongation
Sam Lafferty, Liam Foudy, Jordan Weal, 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
1Abbotsford603021002428-43010200011101302001001318-550.4172443670013210410083191279127511914126681509630723.33%23673.91%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
2Bakersfield614000102427-330300000912-3311000101515040.33324406400132104100827312791275119141266656011924520.83%301066.67%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
3Bridgeport220000001284110000006511100000063341.0001222340013210410089112791275119141843014329222.22%6183.33%12014381452.81%1829363050.39%809149154.26%1965132518826361101554
4Charlotte31100001911-220100001610-41100000031230.500915240013210410081491279127511914113230375513215.38%11372.73%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
5Cleveland2100100014122100010008711100000065141.000142741001321041008115127912751191419424153414642.86%4325.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
6Coachella Valley3210000012931010000045-12200000084440.6671224360013210410081501279127511914112636405614535.71%12375.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
7Eagles65100000271512321000001073330000001789100.8332749760013210410082641279127511914120172508531619.35%23960.87%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
8Grand Rapids32001000191271000100076122000000126661.0001932510013210410081381279127511914111829345310330.00%17570.59%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
9Hartford2110000068-2110000003121010000037-420.5006111700132104100889127912751191419230183713430.77%9277.78%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
10Hershey22000000936110000003121100000062441.00091625001321041008114127912751191416413123611218.18%40100.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
11Iowa43100000171072200000010372110000077060.7501730470013210410081981279127511914116753327313538.46%140100.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
12Laval21100000910-11010000046-21100000054120.50091726001321041008101127912751191419323214412541.67%60100.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
13Lehigh Valley2200000014311110000006151100000082641.00014243800132104100811812791275119141691682613323.08%30100.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
14Manitoba42200000131302200000010642020000037-440.500132235001321041008174127912751191411764335751715.88%14471.43%12014381452.81%1829363050.39%809149154.26%1965132518826361101554
15Ontario642000002418633000000161063120000088080.66724376100132104100827112791275119141258825010830723.33%23578.26%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
16Providence2010001078-1100000104311010000035-220.5007121910132104100880127912751191418326243610110.00%11190.91%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
17Rochester220000001266110000007431100000052341.0001222340013210410088212791275119141962722379555.56%10280.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
18Rockford404000001319-62020000069-320200000710-300.0001323361013210410081511279127511914117554407614214.29%19478.95%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
19San Jose604002001836-18301002001016-630300000820-1220.167183048001321041008247127912751191413071036111829724.14%261061.54%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
20Springfield42200000171612110000077021100000109140.5001734510013210410081891279127511914119439376717211.76%150100.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
21Syracuse412001001522-720100100612-621100000910-130.375152641001321041008179127912751191411715239761516.67%14564.29%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
22Texas413000001519-420200000710-32110000089-120.2501528430013210410081671279127511914120253398518422.22%17382.35%12014381452.81%1829363050.39%809149154.26%1965132518826361101554
23Wilkes-Barre/Scranton302001001217-520200000711-41000010056-110.167122032001321041008116127912751191411324832478112.50%16475.00%02014381452.81%1829363050.39%809149154.26%1965132518826361101554
Total8235350452134233012411517043111671625412018002101751687880.5373426049462013210410083775127912751191413566102977014713748622.99%3278075.54%32014381452.81%1829363050.39%809149154.26%1965132518826361101554
_Since Last GM Reset8235350452134233012411517043111671625412018002101751687880.5373426049462013210410083775127912751191413566102977014713748622.99%3278075.54%32014381452.81%1829363050.39%809149154.26%1965132518826361101554
_Vs Conference54192802410207223-162710120230010210202791600110105121-16480.44420736256910132104100824321279127511914123836974939782384719.75%2185674.31%22014381452.81%1829363050.39%809149154.26%1965132518826361101554
_Vs Division27101402310102118-161356022005053-31458001105265-13290.53710217427600132104100812601279127511914112233672614971273124.41%1143470.18%02014381452.81%1829363050.39%809149154.26%1965132518826361101554

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288OTL1342604946377535661029770147120
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235354521342330
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115174311167162
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120180210175168
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3748622.99%3278075.54%3
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
127912751191411321041008
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
2014381452.81%1829363050.39%809149154.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1965132518826361101554


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
14Bakersfield4San Diego3BLSommaire du match
527Abbotsford3San Diego4BWXSommaire du match
634San Diego1San Jose5ALSommaire du match
850Eagles3San Diego5BWSommaire du match
1061San Diego5Eagles3AWSommaire du match
1272Ontario4San Diego5BWSommaire du match
1485San Diego1Bakersfield4ALSommaire du match
1697Ontario3San Diego5BWSommaire du match
17104San Diego2Ontario4ALSommaire du match
20121Texas5San Diego4BLSommaire du match
21128San Diego3Providence5ALSommaire du match
24146Manitoba2San Diego5BWSommaire du match
26155San Diego6Syracuse4AWSommaire du match
27161San Diego5Abbotsford8ALSommaire du match
29174San Diego5Abbotsford6ALSommaire du match
31185San Jose6San Diego2BLSommaire du match
33198San Diego3Charlotte1AWSommaire du match
34209Abbotsford3San Diego2BLSommaire du match
36222Hershey1San Diego3BWSommaire du match
39238San Diego3Hartford7ALSommaire du match
41250San Jose5San Diego4BLXSommaire du match
42257San Diego4Rockford5ALSommaire du match
45273Wilkes-Barre/Scranton6San Diego4BLSommaire du match
46280San Diego3Springfield5ALSommaire du match
49294San Diego5San Jose8ALSommaire du match
51306Bridgeport5San Diego6BWSommaire du match
53318Charlotte4San Diego1BLSommaire du match
55332San Diego7Springfield4AWSommaire du match
57344Charlotte6San Diego5BLXXSommaire du match
59355San Diego4Ontario1AWSommaire du match
60363San Diego3Syracuse6ALSommaire du match
62375Rochester4San Diego7BWSommaire du match
64383San Diego6Bridgeport3AWSommaire du match
66394San Diego3Rockford5ALSommaire du match
67404Ontario3San Diego6BWSommaire du match
69416San Diego6Texas5AWSommaire du match
71430Coachella Valley5San Diego4BLSommaire du match
73441San Diego4Coachella Valley1AWSommaire du match
75451Grand Rapids6San Diego7BWXSommaire du match
77466San Diego5Laval4AWSommaire du match
78475San Diego6Cleveland5AWSommaire du match
80482Springfield4San Diego5BWSommaire du match
83501Iowa2San Diego5BWSommaire du match
85516Iowa1San Diego5BWSommaire du match
87525San Diego2Texas4ALSommaire du match
89535San Diego6Hershey2AWSommaire du match
91548Lehigh Valley1San Diego6BWSommaire du match
92559San Diego8Lehigh Valley2AWSommaire du match
94568Laval6San Diego4BLSommaire du match
97583San Diego2San Jose7ALSommaire du match
99595San Jose5San Diego4BLXSommaire du match
101601San Diego6Eagles1AWSommaire du match
103617Hartford1San Diego3BWSommaire du match
104622San Diego5Rochester2AWSommaire du match
106640San Diego5Wilkes-Barre/Scranton6ALXSommaire du match
107647Wilkes-Barre/Scranton5San Diego3BLSommaire du match
110666Texas5San Diego3BLSommaire du match
112681San Diego2Ontario3ALSommaire du match
114688San Diego3Abbotsford4ALXSommaire du match
116696Syracuse7San Diego2BLSommaire du match
118712San Diego4Coachella Valley3AWSommaire du match
119718Rockford5San Diego3BLSommaire du match
122736Bakersfield4San Diego3BLSommaire du match
124745San Diego5Bakersfield4AWXXSommaire du match
126759San Diego2Iowa5ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128767Rockford4San Diego3BLSommaire du match
131781San Diego9Bakersfield7AWSommaire du match
133791Bakersfield4San Diego3BLSommaire du match
136809Eagles2San Diego1BLSommaire du match
139822San Diego5Iowa2AWSommaire du match
141833Providence3San Diego4BWXXSommaire du match
143845San Diego7Grand Rapids3AWSommaire du match
145857Cleveland7San Diego8BWXSommaire du match
149878Manitoba4San Diego5BWSommaire du match
151891San Diego5Grand Rapids3AWSommaire du match
153901Abbotsford4San Diego5BWXSommaire du match
155913San Diego6Eagles4AWSommaire du match
156923San Diego1Manitoba4ALSommaire du match
158931Eagles2San Diego4BWSommaire du match
161948Springfield3San Diego2BLSommaire du match
162951San Diego2Manitoba3ALSommaire du match
170982Syracuse5San Diego4BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,13131,131
Assistance PCT75.77%75.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2275 - 75.82% 133,040$5,454,647$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,536,632$ 2,051,200$ 2,051,200$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,995$ 2,039,552$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 14,919$ 14,919$




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 Panik2409014423432441362479419.56%37424217.68315485237000016345.52%01.1002
2Jordan Weal225861342208209034779710.79%42412518.33254166162000513354.52%21.0723
3Sam Carrick230871272142428158339986510.06%59447819.472144652041121512556.42%00.9600
4Sam Lafferty20879127206231504784658639.15%47423620.37234164218303208755.86%00.9704
5Mikko Lehtonen23847149196191722492585159.13%471515221.651438522450336200%00.7600

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 DeSmith130615380.9103.547584242447497601030.80010
2Ilya Samsonov94523660.9083.94542312035638640220.81822
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
218235350452134233012411517043111671625412018002101751687883426049462013210410083775127912751191413566102977014713748622.99%3278075.54%32014381452.81%1829363050.39%809149154.26%1965132518826361101554
Total Saison régulière246112990131165987904831235447097334944415312358520443249346330278987174527325437030229624105713551347634501359872278822404314106624923.36%95120878.13%1057781095452.75%52181032750.53%2347438053.58%592340135644188132871658
Séries éliminatoires
20514000001721-421100000119230300000612-6217314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
Total Séries éliminatoires514000001721-421100000119230300000612-6217314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432

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
1Luke Adam52572246540.00%17715.43000010110059.76%01.8100
2Jordan Weal524630161216.67%110020.00000300001062.50%01.2000
3Max Veronneau52351042922.22%05611.25000000000033.33%01.7800
4Sam Carrick5235-30129229.09%110521.12000301100058.33%00.9500
5Trevor Daley51340028520.00%812024.0700010000000%00.6600

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
1Casey DeSmith41300.8724.32222001612500000
2Justin Pogge20100.9063.90770055300000