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San Jose
GP: 35 | W: 18 | L: 13 | OTL: 4 | P: 40
GF: 118 | GA: 120 | PP%: 21.01% | PK%: 77.17%
DG: Vincent Fournier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #446 vs San Diego

Centre de jeu
Rockford
15-18-3, 33pts
6
FINAL
4 San Jose
18-13-4, 40pts
Team Stats
W5SéquenceL2
9-7-1Fiche domicile9-7-2
6-11-2Fiche domicile9-6-2
9-1-0Derniers 10 matchs6-4-0
2.42Buts par match 3.37
2.97Buts contre par match 3.43
16.44%Pourcentage en avantage numérique21.01%
79.10%Pourcentage en désavantage numérique77.17%
Springfield
23-11-1, 47pts
4
FINAL
2 San Jose
18-13-4, 40pts
Team Stats
W1SéquenceL2
11-5-1Fiche domicile9-7-2
12-6-0Fiche domicile9-6-2
5-5-0Derniers 10 matchs6-4-0
3.37Buts par match 3.37
2.71Buts contre par match 3.43
20.59%Pourcentage en avantage numérique21.01%
87.50%Pourcentage en désavantage numérique77.17%
San Jose
18-13-4, 40pts
Jour 86
San Diego
21-12-4, 46pts
Statistiques d’équipe
L2SéquenceL2
9-7-2Fiche domicile10-4-3
9-6-2Fiche visiteur11-8-1
6-4-010 derniers matchs5-5-0
3.37Buts par match 3.19
3.43Buts contre par match 3.19
21.01%Pourcentage en avantage numérique22.15%
77.17%Pourcentage en désavantage numérique79.55%
Iowa
11-23-2, 24pts
Jour 87
San Jose
18-13-4, 40pts
Statistiques d’équipe
W1SéquenceL2
7-9-1Fiche domicile9-7-2
4-14-1Fiche visiteur9-6-2
3-6-110 derniers matchs6-4-0
2.89Buts par match 3.37
4.14Buts contre par match 3.37
16.28%Pourcentage en avantage numérique21.01%
77.50%Pourcentage en désavantage numérique77.17%
San Jose
18-13-4, 40pts
Jour 90
Bakersfield
13-20-4, 30pts
Statistiques d’équipe
L2SéquenceL4
9-7-2Fiche domicile4-12-1
9-6-2Fiche visiteur9-8-3
6-4-010 derniers matchs4-6-0
3.37Buts par match 3.00
3.43Buts contre par match 3.00
21.01%Pourcentage en avantage numérique21.80%
77.17%Pourcentage en désavantage numérique82.97%
Meneurs d'équipe
Michael PezzettaButs
Michael Pezzetta
14
Passes
Dominik Simon
28
Points
Dominik Simon
37
Plus/Moins
Saku Maenalanen
7
Victoires
Jakob Markstrom
9
Connor IngramPourcentage d’arrêts
Connor Ingram
0.924

Statistiques d’équipe
Buts pour
118
3.37 GFG
Tirs pour
1306
37.31 Avg
Pourcentage en avantage numérique
21.0%
29 GF
Début de zone offensive
40.7%
Buts contre
120
3.43 GAA
Tirs contre
1264
36.11 Avg
Pourcentage en désavantage numérique
77.2%%
29 GA
Début de la zone défensive
41.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,203
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs40


Historique d'équipe

Saison actuelle18-13-4 (40PTS)
Historique67-38-10 (0.583%)
Apparitions en séries éliminatoires 3
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 MaenalanenX100.00753093749072876870686976756361405000303950,000$
2Nikita FilatovXX100.00622897637460787130666659768166265000341500,000$
3Dominik SimonXXX100.00622798757782867468737262805952505000291875,000$
4Drew LarmanXXX100.0067328137706084685464676768998385000391500,000$
5Sam CarrickXX100.00793873738570806883686966746768285000321500,000$
6Brian FlynnXXX100.00691787597564886479666667756770185000351700,000$
7Sergei KalininXXX100.00723471658470877072697059786552325000332750,000$
8Michael GrabnerXX99.00673497637469927057687167728475235000362750,000$
9Zach Aston-ReeseXX100.008239927685789167716770687661604650002911,500,000$
10Michael PezzettaXX99.00855862828570857171697160755144505000262925,000$
11Michael EyssimontXXX100.00814581768076996568686969765553515000272925,000$
12Justin SchultzX100.00623486728180975950565382636654365000342500,000$
13Jack JohnsonX100.00622987507582905325505091709587255000372800,000$
14David RundbladX100.00573394679275845650535288696960315000332500,000$
15Ryan SuterX100.006134814366799957315153896499972350003921,150,000$
16Keith YandleX99.006832815575769465335656856991842550003711,750,000$
17Dennis GilbertX100.00753290728675994270434285755455525000271725,000$
18Calle RosenX100.007324847382769951705254907464664650003011,050,000$
Rayé
MOYENNE D’ÉQUIPE99.8370338565807390635862627473726634500
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 Markstrom100.00638781827887878687778382804150003421,000,000$
2Connor Ingram100.0067959080789085868779855454755000273950,000$
Rayé
MOYENNE D’ÉQUIPE100.006591868178898686877884686758500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano95787887949972USA5711,500,000$


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
1Dominik SimonSan Jose (S J)C/LW/RW359283702035511038808.18%466519.01391230119000002146.17%90100101.1100000220
2Michael PezzettaSan Jose (S J)LW/RW35141630-4321011129139508410.07%262717.92551030102000012256.00%5000000.9600002214
3Saku MaenalanenSan Jose (S J)RW3291827740182610221798.82%853516.7525714480000111058.33%4800101.0102000221
4David RundbladSan Jose (S J)D3591625-4100263368294813.24%7475221.49279321140000105110%000000.6600000002
5Calle RosenSan Jose (S J)D3571724-430059367224629.72%6579422.6935833108000184110%000100.6000000120
6Michael EyssimontSan Jose (S J)C/LW/RW35111223-248206888103268710.68%468019.43336181050003843045.85%100100000.6812013131
7Zach Aston-ReeseSan Jose (S J)LW/RW3571522-4240594814437854.86%669719.93246381060002881051.35%22200100.6312000020
8Sam CarrickSan Jose (S J)C/RW35109196180554172267013.89%241711.92101110000001154.34%53000000.9100000102
9Nikita FilatovSan Jose (S J)LW/RW357111832041455224312.73%044512.7200000000001033.33%3000000.8100000021
10Michael GrabnerSan Jose (S J)LW/RW358917-40041611824766.78%670120.03437311040002952030.43%6900000.4801000200
11Keith YandleSan Jose (S J)D3521416-416046285217413.85%6180322.9727930109000288000%000000.4000000002
12Jack JohnsonSan Jose (S J)D35510157260261939112312.82%5155015.720004500006000%000000.5500000100
13Justin SchultzSan Jose (S J)D352911727527353011196.67%5157116.3300013000029000%000000.3800010001
14Ryan SuterSan Jose (S J)D355611-424054265617408.93%5674821.3921329115000096100%000000.2900000001
15Sergei KalininSan Jose (S J)C/LW/RW35459012021145713357.02%137110.62011140001251150.85%5900000.4800000001
16Brian FlynnSan Jose (S J)C/LW/RW35257110014123213366.25%336910.57000000000830052.50%4000000.3800000000
17Drew LarmanSan Jose (S J)C/LW/RW35235-2202317287187.14%22416.8900000000000041.32%31700000.4100000001
18Cole KoepkeSan JoseLW/RW82351121012112052510.00%116620.86000422000090044.83%2900000.6000002000
19Dennis GilbertSan Jose (S J)D22202-3806592522.22%01336.0600000000000037.50%800000.3000000001
Statistiques d’équipe totales ou en moyenne622117206323-33074563655313063939568.96%3971027416.5229507929610800001181317747.28%330400400.6327027121418
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)229920.8953.70123240767230310.71472213220
2Connor IngramSan Jose (S J)169420.9242.778884041539011001322202
Statistiques d’équipe totales ou en moyenne38181340.9073.31212180117126204273535422


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
Brian FlynnSan Jose (S J)C/LW/RW351988-07-26USANo191 Lbs6 ft1NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm700,000$398,462$0$0$No---------------------------Lien
Calle RosenSan Jose (S J)D301994-02-02SWENo188 Lbs6 ft1NoNoN/ANoNo12025-09-11FalseFalsePro & Farm1,050,000$597,692$0$0$No---------------------------
Connor IngramSan Jose (S J)G271997-03-31CANNo196 Lbs6 ft2NoNoProspectNoNo32025-09-11FalseFalsePro & Farm950,000$540,769$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien NHL
David RundbladSan Jose (S J)D331990-10-08SWENo194 Lbs6 ft2NoNoFree AgentNoNo22025-10-08FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------Lien
Dennis GilbertSan Jose (S J)D271996-10-30USANo216 Lbs6 ft2NoNoProspectNoNo12025-09-11FalseFalsePro & Farm725,000$412,692$0$0$No---------------------------Lien NHL
Dominik SimonSan Jose (S J)C/LW/RW291994-08-08CZENo193 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm875,000$498,077$0$0$No---------------------------Lien
Drew LarmanSan Jose (S J)C/LW/RW391985-05-15USANo186 Lbs6 ft3NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$284,615$0$0$No---------------------------
Jack JohnsonSan Jose (S J)D371987-01-13USANo238 Lbs6 ft1NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm800,000$455,385$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Jakob MarkstromSan Jose (S J)G341990-01-31SWENo212 Lbs6 ft6NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm1,000,000$569,231$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Justin SchultzSan Jose (S J)D341990-06-07CANNo199 Lbs6 ft2NoNoFree AgentNoNo22025-10-08FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Keith YandleSan Jose (S J)D371986-09-09USANo215 Lbs6 ft2NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm1,750,000$996,154$0$0$No---------------------------Lien
Michael EyssimontSan Jose (S J)C/LW/RW271996-09-09USANo180 Lbs6 ft0NoNoN/ANoNo22024-09-15FalseFalsePro & Farm925,000$526,538$0$0$No925,000$--------925,000$--------No--------Lien NHL
Michael GrabnerSan Jose (S J)LW/RW361987-10-05AUSNo198 Lbs6 ft0NoNoFree AgentNoNo22025-09-26FalseFalsePro & Farm750,000$426,923$0$0$No750,000$--------750,000$--------No--------Lien
Michael PezzettaSan Jose (S J)LW/RW261998-03-13CANNo210 Lbs6 ft1NoNoN/ANoNo22024-09-15FalseFalsePro & Farm925,000$526,538$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikita FilatovSan Jose (S J)LW/RW341990-01-11RUSNo196 Lbs6 ft6NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$284,615$0$0$No---------------------------
Ryan SuterSan Jose (S J)D391985-01-21USANo203 Lbs6 ft1NoNoFree AgentNoNo22025-10-06FalseFalsePro & Farm1,150,000$654,615$0$0$No1,150,000$--------1,150,000$--------No--------Lien / Lien NHL
Saku MaenalanenSan Jose (S J)RW301994-05-29FINNo214 Lbs6 ft4NoNoN/ANoNo32025-09-11FalseFalsePro & Farm950,000$540,769$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Sam CarrickSan Jose (S J)C/RW321992-02-04CANNo205 Lbs6 ft0NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$284,615$0$0$No---------------------------Lien / Lien NHL
Sergei KalininSan Jose (S J)C/LW/RW331991-03-17RUSNo205 Lbs6 ft3NoNoFree AgentNoNo22025-09-24FalseFalsePro & Farm750,000$426,923$0$0$No750,000$--------750,000$--------No--------Lien
Zach Aston-ReeseSan Jose (S J)LW/RW291994-08-10USANo204 Lbs6 ft0NoNoFree AgentNoNo12025-09-22FalseFalsePro & Farm1,500,000$853,846$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2032.40202 Lbs6 ft21.65865,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaDominik SimonSaku Maenalanen35005
2Zach Aston-ReeseMichael EyssimontMichael Grabner30005
3Nikita FilatovSam CarrickBrian Flynn25005
4Sergei KalininDrew LarmanDennis Gilbert10005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleCalle Rosen36014
2Ryan SuterDavid Rundblad33014
3Jack JohnsonJustin Schultz31023
4Calle RosenKeith Yandle0005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaDominik SimonMichael Grabner50005
2Zach Aston-ReeseMichael EyssimontSaku Maenalanen50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleCalle Rosen50005
2Ryan SuterDavid Rundblad50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael EyssimontBrian Flynn50050
2Zach Aston-ReeseMichael Grabner50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleCalle Rosen50050
2Ryan SuterDavid Rundblad50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Saku Maenalanen50050Keith YandleCalle Rosen50050
2Michael Eyssimont50050Ryan SuterDavid Rundblad50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brian FlynnMichael Pezzetta50023
2Zach Aston-ReeseMichael Grabner50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keith YandleCalle Rosen50041
2Ryan SuterDavid Rundblad50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sergei KalininDominik SimonMichael GrabnerKeith YandleCalle Rosen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael EyssimontDominik SimonSaku MaenalanenKeith YandleCalle Rosen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Carrick, Michael Pezzetta, Sergei KalininSam Carrick, Michael PezzettaSergei Kalinin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Johnson, Justin Schultz, Ryan SuterJack JohnsonJustin Schultz, Jack Johnson
Tirs de pénalité
Saku Maenalanen, Michael Eyssimont, Zach Aston-Reese, Michael Grabner, Dominik Simon
Gardien
#1 : Jakob Markstrom, #2 : Connor Ingram
Lignes d’attaque personnalisées en prolongation
Saku Maenalanen, Michael Grabner, Zach Aston-Reese, Michael Eyssimont, Dominik Simon, Michael Pezzetta, Sam Carrick, Nikita Filatov, Sergei Kalinin, Brian Flynn
Lignes de défense personnalisées en prolongation
Keith Yandle, Calle Rosen, Ryan Suter, David Rundblad, 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
1Abbotsford43000010191182200000010552100001096381.000193251003338453163397450442241814554771119.09%22386.36%0640133747.87%665135948.93%25758743.78%824551835270463230
2Bakersfield32001000954210010007431100000021161.00091726003338453110397450442241153645587114.29%15286.67%0640133747.87%665135948.93%25758743.78%824551835270463230
3Bridgeport11000000817000000000001100000081721.00081422003338453463974504422428106208450.00%3166.67%0640133747.87%665135948.93%25758743.78%824551835270463230
4Cleveland1000010045-1000000000001000010045-110.5004711003338453373974504422438112318500.00%30100.00%0640133747.87%665135948.93%25758743.78%824551835270463230
5Coachella Valley2110000046-2000000000002110000046-220.50048120033384535639745044224752516419444.44%8275.00%0640133747.87%665135948.93%25758743.78%824551835270463230
6Eagles20200000310-71010000014-31010000026-400.000358003338453583974504422457162132700.00%8362.50%0640133747.87%665135948.93%25758743.78%824551835270463230
7Hartford2020000069-31010000024-21010000045-100.000691510333845362397450442245826103610110.00%5340.00%0640133747.87%665135948.93%25758743.78%824551835270463230
8Iowa321000001413121100000101001100000043140.6671424380033384531223974504422410729264815853.33%12466.67%0640133747.87%665135948.93%25758743.78%824551835270463230
9Laval11000000211000000000001100000021121.000235003338453323974504422439118122150.00%40100.00%0640133747.87%665135948.93%25758743.78%824551835270463230
10Lehigh Valley11000000321000000000001100000032121.00034700333845339397450442243313816200.00%4175.00%0640133747.87%665135948.93%25758743.78%824551835270463230
11Manitoba11000000431110000004310000000000021.0004610003338453523974504422432122107114.29%10100.00%0640133747.87%665135948.93%25758743.78%824551835270463230
12Ontario20100100610-40000000000020100100610-410.25061117003338453773974504422473301744500.00%6183.33%0640133747.87%665135948.93%25758743.78%824551835270463230
13Providence11000000312110000003120000000000021.000358003338453303974504422446151220100.00%6183.33%0640133747.87%665135948.93%25758743.78%824551835270463230
14Rochester1010000015-41010000015-40000000000000.00012300333845343397450442243591115400.00%3166.67%0640133747.87%665135948.93%25758743.78%824551835270463230
15Rockford1010000046-21010000046-20000000000000.0004711103338453373974504422449178198112.50%40100.00%0640133747.87%665135948.93%25758743.78%824551835270463230
16San Diego1010000067-11010000067-10000000000000.00061218003338453413974504422445176156233.33%3233.33%0640133747.87%665135948.93%25758743.78%824551835270463230
17Springfield40300001916-72010000158-32020000048-410.125916250033384531373974504422413941267817211.76%12375.00%0640133747.87%665135948.93%25758743.78%824551835270463230
18Syracuse210001006511000010023-11100000042230.75061117003338453703974504422459198376116.67%4175.00%0640133747.87%665135948.93%25758743.78%824551835270463230
19Texas22000000743220000007430000000000041.00071320003338453943974504422455158408225.00%4175.00%0640133747.87%665135948.93%25758743.78%824551835270463230
Total35161301311118120-21887011016264-217860021056560400.57111820632420333845313063974504422412643973156361382921.01%1272977.17%0640133747.87%665135948.93%25758743.78%824551835270463230
_Since Last GM Reset35161301311118120-21887011016264-217860021056560400.57111820632420333845313063974504422412643973156361382921.01%1272977.17%0640133747.87%665135948.93%25758743.78%824551835270463230
_Vs Conference251110011118591-6147501001545131145001103140-9280.56085151236103338453947397450442249282832294621002222.00%952177.89%0640133747.87%665135948.93%25758743.78%824551835270463230
_Vs Division126301110443955310100023167732001102123-2170.70844801240033384534473974504422448915313823538821.05%541081.48%0640133747.87%665135948.93%25758743.78%824551835270463230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3540L21182063241306126439731563620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3516131311118120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
188711016264
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
178602105656
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1382921.01%1272977.17%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
397450442243338453
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
640133747.87%665135948.93%25758743.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
824551835270463230


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
15Bakersfield2San Jose4WSommaire du match
524San Jose5Ontario6LXSommaire du match
834Eagles4San Jose1LSommaire du match
1145San Jose1Ontario4LSommaire du match
1461San Jose4Coachella Valley3WSommaire du match
1568Hartford4San Jose2LSommaire du match
1985Iowa5San Jose3LSommaire du match
2197San Jose2Eagles6LSommaire du match
24108San Jose3Abbotsford1WSommaire du match
26117Bakersfield2San Jose3WXSommaire du match
28132San Jose4Iowa3WSommaire du match
30141San Jose2Springfield5LSommaire du match
32148Springfield4San Jose3LXXSommaire du match
33159San Jose2Laval1WSommaire du match
35170San Jose2Bakersfield1WSommaire du match
37177Abbotsford3San Jose5WSommaire du match
40194Manitoba3San Jose4WSommaire du match
42209San Jose3Lehigh Valley2WSommaire du match
44219San Jose2Springfield3LSommaire du match
45224Texas2San Jose4WSommaire du match
48237San Jose4Cleveland5LXSommaire du match
50248Syracuse3San Jose2LXSommaire du match
55270Abbotsford2San Jose5WSommaire du match
58288Rochester5San Jose1LSommaire du match
60294San Jose0Coachella Valley3LSommaire du match
62309San Jose6Abbotsford5WXXSommaire du match
64319Providence1San Jose3WSommaire du match
69342Texas2San Jose3WSommaire du match
72361San Diego7San Jose6LSommaire du match
74370San Jose4Hartford5LSommaire du match
76385Iowa5San Jose7WSommaire du match
78397San Jose8Bridgeport1WSommaire du match
80409San Jose4Syracuse2WSommaire du match
81415Rockford6San Jose4LSommaire du match
83433Springfield4San Jose2LSommaire du match
86446San Jose-San Diego-
87459Iowa-San Jose-
90472San Jose-Bakersfield-
93486Hartford-San Jose-
96499San Jose-San Diego-
98511Lehigh Valley-San Jose-
101523San Jose-Texas-
103537Hershey-San Jose-
105547San Jose-Iowa-
107562Coachella Valley-San Jose-
109573San Jose-Charlotte-
110584Bridgeport-San Jose-
112595San Jose-Texas-
115610Manitoba-San Jose-
119630San Jose-Utica -
120639Charlotte-San Jose-
123656San Jose-Providence-
124664Coachella Valley-San Jose-
127676San Jose-Hershey-
129687Utica -San Jose-
132705San Jose-Eagles-
134713Wilkes-Barre/Scranton-San Jose-
136728Ontario-San Jose-
138741San Jose-Rockford-
139749San Jose-Rochester-
141762Wilkes-Barre/Scranton-San Jose-
146784San Diego-San Jose-
149798San Jose-Wilkes-Barre/Scranton-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151808Rockford-San Jose-
154828Laval-San Jose-
155837San Jose-Laval-
157848San Jose-Manitoba-
159857Laval-San Jose-
161867San Jose-Utica -
163881Grand Rapids-San Jose-
167904Eagles-San Jose-
170914San Jose-Ontario-
173928San Jose-Eagles-
174933Bakersfield-San Jose-
176945San Jose-Rockford-
179958Ontario-San Jose-
181968San Jose-Manitoba-
184980San Jose-Coachella Valley-
185984San Jose-Ontario-
187992Eagles-San Jose-
1921012Cleveland-San Jose-
1931021San Jose-Grand Rapids-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance26,48313,170
Assistance PCT73.56%73.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2203 - 73.43% 128,944$2,320,984$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,397,652$ 1,730,000$ 1,730,000$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,872$ 751,492$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,965,702$ 111 16,564$ 1,838,604$




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