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San Jose
GP: 5 | W: 1 | L: 4
GF: 16 | GA: 23 | PP%: 25.00% | PK%: 75.00%
DG: Vincent Fournier | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
San Jose
1-4-0, 2pts
3
FINAL
6 San Diego
13-9-0, 26pts
Team Stats
L2SéquenceL2
0-3-0Fiche domicile8-2-0
1-1-0Fiche domicile5-7-0
1-2-2Derniers 10 matchs5-4-1
3.20Buts par match 3.59
4.60Buts contre par match 3.18
25.00%Pourcentage en avantage numérique20.56%
75.00%Pourcentage en désavantage numérique79.17%
San Diego
13-9-0, 26pts
7
FINAL
2 San Jose
1-4-0, 2pts
Team Stats
L2SéquenceL2
8-2-0Fiche domicile0-3-0
5-7-0Fiche domicile1-1-0
5-4-1Derniers 10 matchs1-2-2
3.59Buts par match 3.20
3.18Buts contre par match 4.60
20.56%Pourcentage en avantage numérique25.00%
79.17%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Dominik Simon
3
Jack JohnsonPasses
Jack Johnson
4
Points
Joe Veleno
5
Plus/Moins
Devin Setoguchi
2
Victoires
Jakob Markstrom
1
Pourcentage d’arrêts
Jakob Markstrom
0.913

Statistiques d’équipe
Buts pour
16
3.20 GFG
Tirs pour
176
35.20 Avg
Pourcentage en avantage numérique
25.0%
5 GF
Début de zone offensive
38.1%
Buts contre
23
4.60 GAA
Tirs contre
224
44.80 Avg
Pourcentage en désavantage numérique
75.0%%
8 GA
Début de la zone défensive
44.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,524
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs38


Historique d'équipe

Saison actuelle1-4
Historique67-38-10 (0.583%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)18 - 12 (0.600%)
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 MaenalanenX100.00793092759073876870676975756261425000291900,000$
2Dominik SimonXXX100.00672798767781857368717362805651525000282875,000$
3Nick SpalingXX100.00583591607274897281727370767359205000341900,000$
4Joe ColborneXXX100.006837816686798867997068598265674050003311,050,000$
5Joe Veleno (R)XXX100.00843592868680967485727469754343725000232900,000$
6Devin SetoguchiXX100.00723788597671886971657266809077205000361900,000$
7Drew ShoreX100.00672890648575916694656661776456395000321700,000$
8Leo KomarovXX100.0060299749726481667466687374766855000361950,000$
9Michael PezzettaXX100.00826264838570857071677260754942535000253925,000$
10Michael EyssimontXXX100.00814582768076996568686870765452525000263925,000$
11Luca SbisaX100.00694063758178975815753856174563150003311,350,000$
12Marc MethotX100.00834636367863964729434788469999135000381950,000$
13Jason DemersX100.006437785979768454505047927377662650003511,350,000$
14Jack JohnsonX100.00643087547586905525525190719387265000361950,000$
15Keith YandleX100.006933865975789466336056857089832650003621,750,000$
16Dennis Gilbert (R)X100.00783594728876994270444087755353545000261500,000$
17Calle RosenX100.00762490758478995170505690756263495000291875,000$
Rayé
MOYENNE D’ÉQUIPE100.0072368366817591636261627573696436500
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 Markstrom100.00648778827686868687768379784250003331,000,000$
2Connor Ingram (R)100.0068959080778883858679815252755000261500,000$
Rayé
MOYENNE D’ÉQUIPE100.006691848177878586877882666559500
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
1Joe VelenoSan Jose (S J)C/LW/RW5235-62016222169.09%010020.08033218000000042.96%14200001.0000000000
2Dominik SimonSan Jose (S J)C/LW/RW5314100013147421.43%07915.86112312000000034.45%11900001.0100000000
3Joe ColborneSan Jose (S J)C/LW/RW513422021053520.00%08917.96000010000260049.11%11200000.8900000001
4Jack JohnsonSan Jose (S J)D5044-140126070%1511923.85022114000026000%000000.6700000000
5Keith YandleSan Jose (S J)D5224-112024103520.00%511322.6210161600005100%000000.7100000000
6Parker KellySan JoseC/LW5044-62037215250%010420.82022418000040054.55%1100000.7700000000
7Michael EyssimontSan Jose (S J)C/LW/RW5224295166162612.50%08617.26000000001250028.57%700000.9300001100
8Michael PezzettaSan Jose (S J)LW/RW50332155115107120%07815.61022212000000050.00%800000.7700010000
9Saku MaenalanenSan Jose (S J)RW5022100446340%29218.49000000000250042.86%700000.4300000000
10Devin SetoguchiSan Jose (S J)LW/RW52022003282825.00%17515.14101313000000058.33%1200000.5300000010
11Dennis GilbertSan Jose (S J)D502201201214010%38116.220000000000000%000000.4900000000
12Nathan BastianSan JoseRW5202-8201672031010.00%010721.49202718000000077.78%900000.3700000000
13Marc MethotSan Jose (S J)D50110115810220%0438.6300000000000033.33%300000.4600001000
14Drew ShoreSan Jose (S J)C5011-100034150%0469.3500000000000040.91%4400000.4300000000
15Leo KomarovSan Jose (S J)LW/RW5101-1000863916.67%07014.19000000001250049.06%5300000.2800000000
16Calle RosenSan Jose (S J)D5101-46054102410.00%812424.95000415000024000%000000.1600000000
17Luca SbisaSan Jose (S J)D5000-12010111420%1213326.66000616000027000%00000000000000
18Jason DemersSan Jose (S J)D5000-300733320%1711222.5100001000023000%00000000000000
Statistiques d’équipe totales ou en moyenne90162844-22791510187176521279.09%63165818.43510153816100022151043.83%52700000.5300012111
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)31110.9133.4918900111270000032100
2Connor IngramSan Jose (S J)30110.8764.711530012970000023000
Statistiques d’équipe totales ou en moyenne61220.8974.043420023224000055100


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
Nick Spaling (contrat à 1 volet)San Jose (S J)C/LW341988-09-19CANNo214 Lbs6 ft1NoNoFree AgentYesNo12024-09-30FalseFalsePro & Farm900,000$9,000$0$No---------1,820,000$-----------------Lien
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
1931.26210 Lbs6 ft21.47960,526$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135005
2Michael PezzettaDominik SimonSaku Maenalanen27014
3Devin SetoguchiJoe ColborneMichael Eyssimont25014
4Marc MethotDrew ShoreLeo Komarov13041
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
160005
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
150050Jack JohnsonCalle Rosen50050
2Saku Maenalanen50050Keith YandleJason Demers50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150014
2Michael Pezzetta50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleLuca Sbisa50023
2Calle RosenJack Johnson50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Keith YandleLuca Sbisa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Saku MaenalanenKeith YandleJason Demers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Michael Pezzetta, Dominik Simon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luca Sbisa, Jason Demers, Jack JohnsonJack JohnsonCalle Rosen, Luca Sbisa
Tirs de pénalité
, Devin Setoguchi, Joe Colborne, Dominik Simon, Drew Shore
Gardien
#1 : Connor Ingram, #2 : Jakob Markstrom
Lignes d’attaque personnalisées en prolongation
, , , 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
1San Diego514000001623-730300000815-72110000088020.20016284400943017650664317224637910120525.00%32875.00%07520137.31%11723649.58%399043.33%12077149437235
Total514000001623-730300000815-72110000088020.20016284400943017650664317224637910120525.00%32875.00%07520137.31%11723649.58%399043.33%12077149437235
_Since Last GM Reset514000001623-730300000815-72110000088020.20016284400943017650664317224637910120525.00%32875.00%07520137.31%11723649.58%399043.33%12077149437235
_Vs Conference514000001623-730300000815-72110000088020.20016284400943017650664317224637910120525.00%32875.00%07520137.31%11723649.58%399043.33%12077149437235
_Vs Division514000001623-730300000815-72110000088020.20016284400943017650664317224637910120525.00%32875.00%07520137.31%11723649.58%399043.33%12077149437235

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2162844176224637910100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000815
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000088
Derniers 10 matchs
WLOTWOTL SOWSOL
120200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20525.00%32875.00%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
506643179430
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
7520137.31%11723649.58%399043.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12077149437235


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 Diego4San Jose3LXSommaire du match
416San Diego4San Jose3LXSommaire du match
624San Jose5San Diego2WSommaire du match
832San Jose3San Diego6LSommaire du match
1040San Diego7San Jose2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance5,0582,513
Assistance PCT84.30%83.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2524 - 84.12% 147,731$443,192$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,735,000$ 1,735,000$ 1,500,000$0$
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 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
1Ian McCoshen115206282-71712031312517.97%210284324.7381624120011531100.00%00.5801
2Matt Nieto115244165-2028471292888.33%8179215.59612185401170046.53%00.7323
3Michael Frolik7324396362469772439.88%8158121.66715226621363147.65%00.8003
4Eric Staal5520335376910913316811.90%9130223.6958133301123353.49%20.8112
5Wayne Simmonds78242953-8137194822529.52%13143318.3878154800044136.36%00.7400

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
1Daniel Vladar28151110.9033.32166540929480010.70617
2Karri Ramo29121500.8923.64153420938590111.0005
3Eric Comrie36121540.9003.64194780118118000000
4Cam Talbot25111120.9192.91144501708600210.6673
5Felix Sandstrom84310.9113.0545241232590000.6673

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
Saison régulière
208238250556330926247411915011411481291941191004422161133281063095248330410511281133004970983101463274481884913793376318.69%3206081.25%41721325752.84%1584311550.85%729136153.56%1946131919496221084541
2335161301311118120-21887011016264-2178600210565604011820632420333845313063974504422412643973156361382921.01%1272977.17%0640133747.87%665135948.93%25758743.78%824551835270463230
Total Saison régulière11754380687442738245592722022422101931758271604632217189281464277301157241381501261643101367143314568740081215116420154759219.37%4478980.09%42361459451.39%2249447450.27%986194850.62%2770187127848931547771
Séries éliminatoires
20514000001317-4312000001011-12020000036-32132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734
21201640000010977321192000006343209720000046341232109190299103240343105233534435023926270226370983333.67%932375.27%3566100756.21%48495250.84%20838953.47%484326474149265135
22514000001623-730300000815-721100000880216284400943017650664317224637910120525.00%32875.00%07520137.31%11723649.58%399043.33%12077149437235
Total Séries éliminatoires30181200000138117211710700000816912138500000574893613824238010464940313844464644344013283743515421364230.88%1483477.03%3745140852.91%692139249.71%28555651.26%717477743230405205

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
1Lukas Sedlak126713268355111.76%227222.69123800020054.82%00.9600
2Tyler Pitlick1347112101416577.02%1025919.97112900000023.33%00.8500
3Ian McCoshen135611-22237113514.29%3032124.70314190000000%00.6900
4Alan Quine134610-22525458.89%219915.37022400001051.38%01.0000
5Brendan Leipsic13189281622611.64%122117.02022700000037.78%00.8100

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
1Jonathan Quick32100.9144.00180001214000000
2Eric Comrie62310.8984.09367002524400000
3Adam Dennis31200.9294.49187001419800000
4Felix Sandstrom10100.9293.00600034200000