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Connexion

San Jose
GP: 82 | W: 51 | L: 27 | OTL: 4 | P: 106
GF: 296 | GA: 237 | PP%: 22.82% | PK%: 81.74%
DG: Vincent Fournier | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
San Jose
51-27-4, 106pts
2
FINAL
5 Abbotsford
36-38-8, 80pts
Team Stats
W1SéquenceL1
28-10-3Fiche domicile19-18-4
23-17-1Fiche domicile17-20-4
7-1-2Derniers 10 matchs5-4-1
3.61Buts par match 3.09
2.89Buts contre par match 3.41
22.82%Pourcentage en avantage numérique14.38%
81.74%Pourcentage en désavantage numérique77.43%
Rochester
24-51-7, 55pts
4
FINAL
6 San Jose
51-27-4, 106pts
Team Stats
L3SéquenceW1
11-25-5Fiche domicile28-10-3
13-26-2Fiche domicile23-17-1
3-6-1Derniers 10 matchs7-1-2
2.73Buts par match 3.61
4.24Buts contre par match 2.89
16.62%Pourcentage en avantage numérique22.82%
74.79%Pourcentage en désavantage numérique81.74%
Meneurs d'équipe
Nathan BastianButs
Nathan Bastian
35
Passes
Joe Veleno
64
Parker KellyPoints
Parker Kelly
95
Plus/Moins
Saku Maenalanen
30
Victoires
Jakob Markstrom
27
Pourcentage d’arrêts
Jakob Markstrom
0.922

Statistiques d’équipe
Buts pour
296
3.61 GFG
Tirs pour
3169
38.65 Avg
Pourcentage en avantage numérique
22.8%
81 GF
Début de zone offensive
43.0%
Buts contre
237
2.89 GAA
Tirs contre
2872
35.02 Avg
Pourcentage en désavantage numérique
81.7%%
67 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralVincent Fournier
EntraîneurJack Capuano
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,249
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs38


Historique d'équipe

Saison actuelle51-27-4 (106PTS)
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
1Saku MaenalanenX100.00793092759073876870676976756261425000291900,000$
2Dominik SimonXXX100.00672798767781857369717262805651525000282875,000$
3Joe ColborneXXX100.006837816686798867997068598265674050003311,050,000$
4Joe Veleno (R)XXX100.00843592868680967485727470754343725000232900,000$
5Devin SetoguchiXX100.00723788597671886971657266809077205000361900,000$
6Drew ShoreX100.00672890648575916694656661776456395000321700,000$
7Leo KomarovXX100.0060299750736481667466687374766855000361950,000$
8Nathan BastianX100.008857668090849375757577637546486250002521,000,000$
9Michael PezzettaXX100.00826264838570857071677260754942535000253925,000$
10Parker KellyXX100.00824380878678987471727674804445585000241500,000$
11Michael EyssimontXXX100.00814582768076996568686870765452525000263925,000$
12Luca SbisaX100.00694063758178975815753856174563150003311,350,000$
13Marc MethotX100.00834636367863964729434788469999135000381950,000$
14Jason DemersX100.006437785979768454505047927377662650003511,350,000$
15Jack JohnsonX100.00643087557686905525525190719387265000361950,000$
16Keith YandleX100.006933866076789466336056857089832650003621,750,000$
17Dennis Gilbert (R)X100.00783594728876994270444087755353545000261500,000$
18Calle RosenX100.00762490758478995170505690756263495000291875,000$
Rayé
MOYENNE D’ÉQUIPE100.0074388169827692636362637573666240500
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
1Jakob Markstrom99.00648778827686868687768379784250003331,000,000$
2Connor Ingram (R)100.0068959080778883858679815252755000261500,000$
Rayé
MOYENNE D’ÉQUIPE99.506691848177878586877882666559500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano95787887949972USA5621,500,000$


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
1Parker KellySan Jose (S J)C/LW823461958400791073731122909.12%24163319.92112637822951013774245.20%25000001.1615000182
2Joe VelenoSan Jose (S J)C/LW/RW8228649214220491743111001909.00%11161619.71112233702970001475351.90%231200001.1422000644
3Nathan BastianSan Jose (S J)RW823531661412830220792958022011.86%10157519.218132169295000006148.94%14100000.8412213437
4Dominik SimonSan Jose (S J)C/LW/RW82233962282016125233791419.87%7130615.934182261267000003047.05%186600010.9502000364
5Luca SbisaSan Jose (S J)D821743608995136671386611212.32%92172120.9991221782870001143400%000000.7000100323
6Michael PezzettaSan Jose (S J)LW/RW8223325526882022468236651819.75%3132416.158132171261000005155.12%12700010.8300301623
7Keith YandleSan Jose (S J)D82173754127209562154639211.04%97175321.399101989298000153220%000000.6200000423
8Saku MaenalanenSan Jose (S J)RW82212647302006179216551699.72%23132916.2110113112142882054.55%13200000.7100000343
9Calle RosenSan Jose (S J)D8293443980011886160621115.63%122174821.3261016882560112271100%000000.4900000001
10Michael EyssimontSan Jose (S J)C/LW/RW821722392761097100194681538.76%19121714.8400002101152765050.00%10400000.6402101220
11Devin SetoguchiSan Jose (S J)LW/RW82181937-11404158196431649.18%5122614.96581350262000001149.53%10700000.6015000114
12Jack JohnsonSan Jose (S J)D82727342032068529733817.22%150159319.4313426990224292200%000000.4300000210
13Joe ColborneSan Jose (S J)C/LW/RW82131932123551141127349610.24%9123515.060000800042744059.02%184500000.5205001124
14Jason DemersSan Jose (S J)D82515202457584677428406.76%133145117.70000090113279020%000000.2800010102
15Drew ShoreSan Jose (S J)C826814-28024528017577.50%24875.9500000000001157.76%59900000.5702000101
16Leo KomarovSan Jose (S J)LW/RW82581316087010025745.00%147619.290001211232690149.80%49600000.3400000011
17Dennis GilbertSan Jose (S J)D822911144067335817413.45%407589.26000000000120060.00%1500000.2900000001
18Marc MethotSan Jose (S J)D36011-2361047517690%213329.2500000000029000%700000.0600110000
Statistiques d’équipe totales ou en moyenne14302804957751938478514851425305995322219.15%7822307316.147313520868626494610512317451452.47%800100020.67525836383843
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
1Jakob MarkstromSan Jose (S J)43271220.9222.7124544411114150300.83364141643
2Connor IngramSan Jose (S J)43241520.9152.9725046212414560010.947194141510
Statistiques d’équipe totales ou en moyenne86512740.9182.84495910623528710312582821153


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
Calle RosenSan Jose (S J)D291994-02-02SWENo188 Lbs6 ft1NoNoN/ANoNo12024-09-15FalseFalsePro & Farm875,000$0$0$No---------------------------
Connor IngramSan Jose (S J)G261997-03-31CANYes196 Lbs6 ft2NoNoProspectNoNo12024-09-20FalseFalsePro & Farm500,000$0$0$No---------------------------
Dennis GilbertSan Jose (S J)D261996-10-30USAYes216 Lbs6 ft2NoNoProspectNoNo12024-09-20FalseFalsePro & Farm500,000$0$0$No---------------------------
Devin SetoguchiSan Jose (S J)LW/RW361987-01-01CANNo213 Lbs6 ft0NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm900,000$0$0$No---------------------------
Dominik SimonSan Jose (S J)C/LW/RW281994-08-08CZENo193 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Drew ShoreSan Jose (S J)C321991-01-29USANo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jack JohnsonSan Jose (S J)D361987-01-13USANo238 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Jakob MarkstromSan Jose (S J)G331990-01-31SWENo212 Lbs6 ft6NoNoFree AgentNoNo32024-09-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Jason DemersSan Jose (S J)D351988-06-09CANNo204 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$0$0$No---------------------------Lien
Joe ColborneSan Jose (S J)C/LW/RW331990-01-30CANNo218 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,050,000$0$0$No---------------------------Lien
Joe VelenoSan Jose (S J)C/LW/RW232000-01-13CANYes201 Lbs6 ft1NoNoProspectNoNo22024-09-20FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Keith YandleSan Jose (S J)D361986-09-09USANo215 Lbs6 ft2NoNoFree AgentNoNo22024-10-02FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Leo KomarovSan Jose (S J)LW/RW361987-01-23ESTNo203 Lbs5 ft11NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Luca SbisaSan Jose (S J)D331990-01-01ITANo218 Lbs6 ft2NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,350,000$0$0$No---------------------------Lien
Marc MethotSan Jose (S J)D381985-06-21CANNo238 Lbs6 ft3NoNoTrade2025-03-23NoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Michael EyssimontSan Jose (S J)C/LW/RW261996-09-09USANo180 Lbs6 ft0NoNoN/ANoNo32024-09-15FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien NHL
Michael PezzettaSan Jose (S J)LW/RW251998-03-13CANNo210 Lbs6 ft1NoNoN/ANoNo32024-09-15FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nathan BastianSan Jose (S J)RW251997-12-06CANNo205 Lbs6 ft4NoNoN/ANoNo22024-09-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Parker KellySan Jose (S J)C/LW241999-05-14CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Saku MaenalanenSan Jose (S J)RW291994-05-29FINNo214 Lbs6 ft4NoNoN/ANoNo12024-09-15FalseFalsePro & Farm900,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.45208 Lbs6 ft21.50942,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyJoe VelenoNathan Bastian36005
2Michael PezzettaDominik SimonSaku Maenalanen29014
3Devin SetoguchiJoe ColborneMichael Eyssimont25014
4Marc MethotDrew ShoreLeo Komarov10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaKeith Yandle36014
2Calle RosenJason Demers34032
3Jack JohnsonDennis Gilbert30032
4Luca SbisaKeith Yandle0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyJoe VelenoNathan Bastian60005
2Michael PezzettaDominik SimonDevin Setoguchi40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleLuca Sbisa60014
2Calle RosenJack Johnson40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Leo KomarovSaku Maenalanen50050
2Joe ColborneMichael Eyssimont50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaJason Demers50140
2Calle RosenJack Johnson50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Parker Kelly50050Jack JohnsonCalle Rosen50050
2Saku Maenalanen50050Keith YandleJason Demers50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joe VelenoNathan Bastian50014
2Parker KellyMichael Pezzetta50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleLuca Sbisa50023
2Calle RosenJack Johnson50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyJoe VelenoNathan BastianKeith YandleLuca Sbisa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyJoe VelenoSaku MaenalanenKeith YandleJason Demers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, Joe Veleno, Parker KellyMichael Pezzetta, Dominik SimonParker Kelly
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luca Sbisa, Jason Demers, Jack JohnsonJack JohnsonCalle Rosen, Luca Sbisa
Tirs de pénalité
Parker Kelly, Devin Setoguchi, Joe Colborne, Dominik Simon, Drew Shore
Gardien
#1 : Connor Ingram, #2 : Jakob Markstrom
Lignes d’attaque personnalisées en prolongation
Joe Veleno, Nathan Bastian, Parker Kelly, Michael Pezzetta, Dominik Simon, Devin Setoguchi, Joe Colborne, Saku Maenalanen, Michael Eyssimont, Leo Komarov
Lignes de défense personnalisées en prolongation
Keith Yandle, Jason Demers, Luca Sbisa, Calle Rosen, Jack Johnson


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
1Abbotsford431000001495220000008352110000066060.750142741011167891121961038102010766012745317719631.58%13192.31%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
2Bakersfield430010002291321001000116522000000113881.000223860011167891121671038102010766010932256230620.00%10190.00%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
3Bridgeport31100010761211000005501000001021140.667791600116789112122103810201076601083526581400.00%130100.00%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
4Charlotte4200001116115210000107522100000196370.875162945001167891121641038102010766015046319524625.00%12375.00%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
5Cleveland3120000010100211000007611010000034-120.333101727101167891121181038102010766011930466219421.05%17382.35%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
6Coachella Valley412010001113-22020000039-62100100084440.500112031001167891121461038102010766016842697011218.18%31583.87%11786341152.36%1704321752.97%708131154.00%1973133719186271074534
7Eagles43100000161152200000010552110000066060.750162945001167891121241038102010766013342346412216.67%17194.12%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
8Grand Rapids321000001275211000009631100000031240.66712213300116789112126103810201076609326224919421.05%11281.82%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
9Hartford330000001468220000009541100000051461.0001425390011678911211410381020107660863422511317.69%10190.00%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
10Hershey330000001385220000009631100000042261.000132639001167891121441038102010766011818285915533.33%12466.67%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
11Iowa430000102210122200000015692100001074381.000224062001167891121621038102010766012426387615853.33%19478.95%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
12Laval3110100013112110000006422010100077040.667132437001167891121251038102010766010336304716425.00%13284.62%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
13Lehigh Valley3120000012111110000005232020000079-220.33312223400116789112951038102010766010539264411545.45%12375.00%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
14Manitoba4220000015150211000007702110000088040.500152742001167891121481038102010766016248728010330.00%26676.92%11786341152.36%1704321752.97%708131154.00%1973133719186271074534
15Ontario401011101013-3200011004402010001069-350.62510162601116789112145103810201076601302740701516.67%20765.00%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
16Providence312000008801010000034-12110000054120.3338122001116789112102103810201076601143430621100.00%15473.33%11786341152.36%1704321752.97%708131154.00%1973133719186271074534
17Rochester43001000201192200000012662100100085381.000203656001167891121501038102010766013348496314642.86%22290.91%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
18Rockford413000001213-1211000008622020000047-320.250122335001167891121501038102010766014632669219526.32%23482.61%11786341152.36%1704321752.97%708131154.00%1973133719186271074534
19San Diego4210100017161210010009722110000089-160.750173148001167891121911038102010766014033327222522.73%14564.29%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
20Springfield4220000010100211000005502110000055040.50010162601116789112112103810201076601544941751516.67%17194.12%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
21Syracuse31200000812-41010000014-32110000078-120.33381523001167891121121038102010766011338414911327.27%11281.82%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
22Texas402011001013-3200011005502020000058-330.375101727001167891121361038102010766013558426410220.00%14471.43%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
23Wilkes-Barre/Scranton311001004401000010023-12110000021130.5004711011167891121201038102010766010231325610220.00%15286.67%01786341152.36%1704321752.97%708131154.00%1973133719186271074534
Total8240270734129623759412310043101601194141171703031136118181060.64629652782316116789112316910381020107660287284987314973558122.82%3676781.74%41786341152.36%1704321752.97%708131154.00%1973133719186271074534
_Since Last GM Reset8240270734129623759412310043101601194141171703031136118181060.64629652782316116789112316910381020107660287284987314973558122.82%3676781.74%41786341152.36%1704321752.97%708131154.00%1973133719186271074534
_Vs Conference44201505220159132272211504200856322229100102074695560.6361592844430411678911216771038102010766015284344908021784123.03%2043980.88%31786341152.36%1704321752.97%708131154.00%1973133719186271074534
_Vs Division2095041107460141042031003529610530101039318290.725741322060311678911284510381020107660674179197351972020.62%881978.41%11786341152.36%1704321752.97%708131154.00%1973133719186271074534

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82106W129652782331692872849873149716
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240277341296237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123104310160119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117173031136118
Derniers 10 matchs
WLOTWOTL SOWSOL
710101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3558122.82%3676781.74%4
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
10381020107660116789112
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
1786341152.36%1704321752.97%708131154.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1973133719186271074534


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
11Coachella Valley6San Jose1LSommaire du match
522San Jose2Wilkes-Barre/Scranton0WSommaire du match
733Eagles1San Jose5WSommaire du match
946San Jose3Rochester1WSommaire du match
1153San Jose5Bakersfield0WSommaire du match
1363Hershey3San Jose4WSommaire du match
1577San Jose3Iowa1WSommaire du match
1786Manitoba2San Jose3WSommaire du match
1999San Jose2Lehigh Valley3LSommaire du match
22112Iowa5San Jose6WSommaire du match
24126San Jose3Texas5LSommaire du match
26133Bakersfield3San Jose7WSommaire du match
28140San Jose4Ontario3WXXSommaire du match
29151San Jose5San Diego4WSommaire du match
32164Texas3San Jose2LXSommaire du match
35180San Jose1Rockford3LSommaire du match
36190Abbotsford0San Jose4WSommaire du match
38202San Jose4Iowa3WXXSommaire du match
40213Texas2San Jose3WXSommaire du match
43227San Jose3Providence4LSommaire du match
44234Bridgeport2San Jose1LSommaire du match
47252Hershey3San Jose5WSommaire du match
50265San Jose3Rockford4LSommaire du match
52275San Jose3San Diego5LSommaire du match
53284Syracuse4San Jose1LSommaire du match
55297San Jose2Providence0WSommaire du match
57309Iowa1San Jose9WSommaire du match
60324Springfield3San Jose2LSommaire du match
62335San Jose4Laval5LSommaire du match
64348Lehigh Valley2San Jose5WSommaire du match
66358San Jose3Springfield5LSommaire du match
68370San Jose2Bridgeport1WXXSommaire du match
71380Springfield2San Jose3WSommaire du match
74394San Jose2Ontario6LSommaire du match
76405Hartford4San Jose5WSommaire du match
79419San Jose3Grand Rapids1WSommaire du match
81428Rockford4San Jose2LSommaire du match
85449Rockford2San Jose6WSommaire du match
88465Abbotsford3San Jose4WSommaire du match
90477San Jose2Springfield0WSommaire du match
92486San Jose5Manitoba4WSommaire du match
93495Bakersfield3San Jose4WXSommaire du match
96513San Jose1Syracuse3LSommaire du match
98519San Jose0Wilkes-Barre/Scranton1LSommaire du match
99525Grand Rapids5San Jose3LSommaire du match
103543Cleveland3San Jose6WSommaire du match
105557San Jose5Lehigh Valley6LSommaire du match
108570Laval4San Jose6WSommaire du match
110582San Jose4Hershey2WSommaire du match
112591Eagles4San Jose5WSommaire du match
116603San Jose5Hartford1WSommaire du match
118614Hartford1San Jose4WSommaire du match
120624San Jose3Laval2WXSommaire du match
122633San Jose2Texas3LSommaire du match
125644Cleveland3San Jose1LSommaire du match
127653San Jose6Syracuse5WSommaire du match
129665San Jose5Eagles3WSommaire du match
130668Bridgeport3San Jose4WSommaire du match
132687Providence4San Jose3LSommaire du match
134697San Jose6Bakersfield3WSommaire du match
137711San Jose5Rochester4WXSommaire du match
138718Coachella Valley3San Jose2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141734San Jose1Eagles3LSommaire du match
143741Wilkes-Barre/Scranton3San Jose2LXSommaire du match
145757San Jose4Coachella Valley3WXSommaire du match
146764Grand Rapids1San Jose6WSommaire du match
149781Ontario0San Jose1WXSommaire du match
152795San Jose3Manitoba4LSommaire du match
154804San Jose6Charlotte2WSommaire du match
155813San Diego2San Jose3WXSommaire du match
158830Manitoba5San Jose4LSommaire du match
161840San Jose3Cleveland4LSommaire du match
162849San Jose4Coachella Valley1WSommaire du match
165862San Diego5San Jose6WSommaire du match
168879Ontario4San Jose3LXSommaire du match
171895San Jose3Charlotte4LXXSommaire du match
174905Charlotte2San Jose3WXXSommaire du match
178926Charlotte3San Jose4WSommaire du match
183948Rochester2San Jose6WSommaire du match
184950San Jose4Abbotsford1WSommaire du match
187966San Jose2Abbotsford5LSommaire du match
192983Rochester4San Jose6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance61,39030,814
Assistance PCT74.87%75.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2249 - 74.96% 131,507$5,391,791$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,376,599$ 1,885,000$ 1,885,000$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,716$ 1,876,591$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,448$ 0$




San Jose 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 Jose 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 Jose 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 Jose 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 Jose 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