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San Jose
GP: 5 | W: 1 | L: 4
GF: 13 | GA: 17 | PP%: 22.22% | PK%: 86.96%
DG: Vincent Fournier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
San Jose
1-4-0, 2pts
1
FINAL
2 Bakersfield
5-5-0, 10pts
Team Stats
L4StreakL1
1-2-0Home Record3-1-0
0-2-0Away Record2-4-0
1-4-0Last 10 Games5-4-1
2.60Buts par match 2.90
3.40Buts contre par match 3.10
22.22%Pourcentage en avantage numérique9.30%
86.96%Pourcentage en désavantage numérique80.00%
Bakersfield
5-5-0, 10pts
5
FINAL
4 San Jose
1-4-0, 2pts
Team Stats
L1StreakL4
3-1-0Home Record1-2-0
2-4-0Away Record0-2-0
5-4-1Last 10 Games1-4-0
2.90Buts par match 2.60
3.10Buts contre par match 3.40
9.30%Pourcentage en avantage numérique22.22%
80.00%Pourcentage en désavantage numérique86.96%
Meneurs d'équipe
Buts
Noah Gregor
3
Passes
Parker Kelly
4
Points
Beau Bennett
4
Plus/Moins
Noah Gregor
3
Victoires
Jakob Markstrom
1
Pourcentage d’arrêts
Anton Khudobin
0.932

Statistiques d’équipe
Buts pour
13
2.60 GFG
Tirs pour
156
31.20 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
41.6%
Buts contre
17
3.40 GAA
Tirs contre
178
35.60 Avg
Pourcentage en désavantage numérique
87.0%%
3 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralVincent Fournier
EntraîneurRalph Krueger
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1Thomas Chabot
Assistant #2Michael Dal Colle


Informations de l’aréna

Capacité3,000
Assistance2,555
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs37


Historique d'équipe

Saison actuelle1-4
Historique49-25-8 (0.598%)
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
1Beau BennettXX100.00683195767579767472717264775755485000292900,000$
2Dustin BoydXXX100.00531393527869846063646363758066185000351850,000$
3Michael BlundenXX100.00763172577971826457656364737479215000341850,000$
4Robert NilssonXX100.00551793486760876272636158738672155000361700,000$
5Justin FontaineX100.00532893667172826668636665726662275000332800,000$
6Freddie HamiltonXXX100.00773077717867886873676864715755355000291800,000$
7Drew ShoreX100.00733088698678906993686865775753515000301500,000$
8Leo KomarovXX100.00663195587770817074687174746963115000341850,000$
9Nathan Bastian (R)X100.00935078759076877070677364754141715000232900,000$
10Noah Gregor (R)XX100.00863090848182877370717170753838725000223500,000$
11Michael Pezzetta (R)XX100.00895574798768836970677061774242645000232500,000$
12Parker Kelly (R)XX100.00874081808273947070687272753838675000223500,000$
13Adam McQuaid X100.00764567658282784850504985727065215000341900,000$
14David SchlemkoX100.00622991638276715250514884787771155000341950,000$
15Justin BraunX100.0062388261727088481444682487159315000332500,000$
16Jake Walman (R)X100.00812591778279844850484887754949675000251500,000$
17Michael SauerX100.00594782588072654915148875579723850003311,200,000$
Rayé
MOYENNE D’ÉQUIPE100.0072348567797383625962627172625840500
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
1Anton Khudobin100.0064747983759697969790898585395000351975,000$
2Jakob Markstrom100.0067877797809794969586937271505000312975,000$
Rayé
MOYENNE D’ÉQUIPE100.006681789078979696968891797845500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ralph Krueger82828583968661CAN6011,150,000$


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
1Beau BennettSan Jose (S J)LW/RW5134-1000818495.56%09118.21022315000000040.00%500000.8800000000
2Luke GlendeningSan JoseC/RW5224-1202141331215.38%09218.46022116000000050.76%13200000.8700000010
3Leo KomarovSan Jose (S J)LW/RW5134-6201714167.14%28116.24011414000090068.75%1600000.9900000000
4Noah GregorSan Jose (S J)LW/RW5314300581431521.43%110721.411013150001271045.45%1100000.7500000010
5Parker KellySan Jose (S J)C/LW5044160511163100.00%010220.520111140001200043.64%16500000.7800000000
6Alexey MarchenkoSan JoseD521312021054740.00%711623.23202415000019000.00%000000.5200000001
7Nathan BastianSan Jose (S J)RW5213120951651412.50%08416.94000416000000033.33%600000.7100000100
8David SchlemkoSan Jose (S J)D5112-1407281312.50%99919.8610131500008000.00%000000.4000000000
9Drew ShoreSan Jose (S J)C5022-4002810110.00%05711.5000000000040060.24%8300000.7000000000
10Michael PezzettaSan Jose (S J)LW/RW5022-1606481100.00%09018.16000213000020044.44%900000.4400000000
11Adam McQuaid San Jose (S J)D5011-5801242120.00%38717.5600000000015000.00%000000.2300000000
12Justin BraunSan Jose (S J)D5101-5001242225.00%37414.910000000002000.00%000000.2700000000
13Freddie HamiltonSan Jose (S J)C/LW/RW5011-440235160.00%05210.55000000000000100.00%200000.3800000000
14Jake WalmanSan Jose (S J)D5011160956270.00%911322.70011115000117000.00%000000.1800000000
15Michael SauerSan Jose (S J)D5011-140523000.00%79318.7000000000016000.00%000000.2100000000
16Dustin BoydSan Jose (S J)C/LW/RW5000-100025040.00%0326.50000000000000100.00%100000.00%00000000
17Michael BlundenSan Jose (S J)C/RW5000-100325000.00%0326.4600000000000035.14%3700000.00%00000000
18Justin FontaineSan Jose (S J)RW5000-100034260.00%0489.72000000000150028.57%1400000.00%00000000
Statistiques d’équipe totales ou en moyenne90132437-2546071100156341148.33%41145816.2047112615400031601048.44%48100000.5100000121
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)31200.8864.0217900121050000.00%032000
2Anton KhudobinSan Jose (S J)20200.9322.52119005730000.00%023010
Statistiques d’équipe totales ou en moyenne51400.9043.422980017178000055010


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé 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 10Link
Adam McQuaid San Jose (S J)D341986-10-12 07:23:38No216 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
Anton KhudobinSan Jose (S J)G351986-05-07 10:44:53No215 Lbs5 ft11NoNoNo1Pro & Farm975,000$0$0$NoLien
Beau BennettSan Jose (S J)LW/RW291991-11-27No200 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
David SchlemkoSan Jose (S J)D341987-05-07No191 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Drew ShoreSan Jose (S J)C301991-01-29No212 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Dustin BoydSan Jose (S J)C/LW/RW351985-07-16No208 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$No
Freddie HamiltonSan Jose (S J)C/LW/RW291992-01-01No200 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien
Jake WalmanSan Jose (S J)D251996-02-20 04:16:40Yes210 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Jakob MarkstromSan Jose (S J)G311990-01-31 11:57:02No212 Lbs6 ft6NoNoNo2Pro & Farm975,000$0$0$No975,000$Lien
Justin BraunSan Jose (S J)D331987-09-01No204 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Justin FontaineSan Jose (S J)RW331987-11-06No178 Lbs5 ft10NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Leo KomarovSan Jose (S J)LW/RW341987-01-23No203 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLien
Michael BlundenSan Jose (S J)C/RW341986-12-15No222 Lbs6 ft3NoNoNo1Pro & Farm850,000$0$0$No
Michael PezzettaSan Jose (S J)LW/RW231998-03-13 07:54:14Yes210 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Michael SauerSan Jose (S J)D331987-08-07No222 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$0$0$NoLien
Nathan BastianSan Jose (S J)RW231997-12-06 04:11:27Yes205 Lbs6 ft4NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Noah GregorSan Jose (S J)LW/RW221998-07-28 04:21:11Yes185 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Parker KellySan Jose (S J)C/LW221999-05-14 07:56:22Yes190 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Robert NilssonSan Jose (S J)LW/RW361985-01-10No196 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1930.26204 Lbs6 ft11.53771,053$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beau BennettMichael Pezzetta36005
2Noah GregorParker KellyNathan Bastian32005
3Leo KomarovDrew ShoreFreddie Hamilton22005
4Dustin BoydMichael BlundenJustin Fontaine10050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Walman36014
2Michael SauerDavid Schlemko34032
3Justin BraunAdam McQuaid 30032
4Jake Walman0005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beau BennettNathan Bastian60005
2Noah GregorParker KellyMichael Pezzetta40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Walman60014
2Leo KomarovDavid Schlemko40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Parker KellyNoah Gregor60140
2Leo KomarovJustin Fontaine40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanMichael Sauer60140
2Adam McQuaid 40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noah Gregor60140Jake Walman60140
2Parker Kelly40140Michael SauerDavid Schlemko40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Leo KomarovBeau Bennett60014
2Parker KellyNoah Gregor40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Walman60023
2Michael SauerDavid Schlemko40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyBeau BennettJake Walman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyNoah GregorJake Walman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, Leo Komarov, Justin FontaineParker Kelly, Leo KomarovJustin Fontaine
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Sauer, Adam McQuaid , David SchlemkoMichael SauerDavid Schlemko, Justin Braun
Tirs de pénalité
Michael Pezzetta, Beau Bennett, Nathan Bastian, Drew Shore, Noah Gregor
Gardien
#1 : Jakob Markstrom, #2 : Anton Khudobin


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
1Bakersfield514000001317-4312000001011-12020000036-320.200132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734
Total514000001317-4312000001011-12020000036-320.200132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734
_Since Last GM Reset514000001317-4312000001011-12020000036-320.200132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734
_Vs Conference514000001317-4312000001011-12020000036-320.200132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734
_Vs Division514000001317-4312000001011-12020000036-320.200132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L413243715617841467100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001011
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000036
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%23386.96%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
61544105530
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
10420052.00%9120444.61%387749.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11273119376734


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
2 - 2022-11-257Bakersfield3San Jose4BWSommaire du match
4 - 2022-11-2615Bakersfield3San Jose2BLSommaire du match
6 - 2022-11-2723San Jose2Bakersfield4ALSommaire du match
8 - 2022-11-2831San Jose1Bakersfield2ALSommaire du match
10 - 2022-11-2939Bakersfield5San Jose4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance5,2442,420
Assistance PCT87.40%80.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2555 - 85.16% 150,660$451,980$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,465,000$ 1,465,000$ 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 (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
1Michael Frolik7324396362469772439.88%8158121.66715226621363147.6500.8003
2Matt Nieto82243761-828411112639.13%7155218.93612185401170044.2400.7911
3Ian McCoshen80144256-5115126851559.03%141199224.9171017760112200.00%00.5600
4Eric Staal5520335376910913316811.90%9130223.6958133301123353.4920.8112
5Wayne Simmonds78242953-8137194822529.52%13143318.3878154800044136.3600.7400

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
1Karri Ramo29121500.8923.64153420938590111.0005
2Eric Comrie36121540.9003.6419478011811800000.00%0
3Cam Talbot25111120.9192.91144501708600210.6673

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
2082294104521256286-3041181702211125132-741112402310131154-2376256447703218873897264584187291229290786796015873125818.59%4057780.99%51486304748.77%1534334645.85%631132247.73%1839121320476451066519
Total Saison régulière8238250556330926247411915011411481291941191004422161133281063095248330410511281133004970983101463274481884913793376318.69%3206081.25%41721325752.84%1584311550.85%729136153.56%1946131919496221084541
Séries éliminatoires
Total Séries éliminatoires514000001317-4312000001011-12020000036-32132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734

San Jose Leaders statistiques (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