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San Jose
GP: 82 | W: 53 | L: 27 | OTL: 2 | P: 108
GF: 370 | GA: 297 | PP%: 25.54% | PK%: 78.13%
DG: Vincent Fournier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
San Jose
53-27-2, 108pts
12
FINAL
5 Iowa
33-45-4, 70pts
Team Stats
L1SéquenceL4
29-11-1Fiche domicile20-19-2
24-16-1Fiche domicile13-26-2
7-3-0Derniers 10 matchs3-6-1
4.51Buts par match 3.39
3.62Buts contre par match 4.12
25.54%Pourcentage en avantage numérique17.01%
78.13%Pourcentage en désavantage numérique75.24%
Springfield
45-35-2, 92pts
8
FINAL
6 San Jose
53-27-2, 108pts
Team Stats
W1SéquenceL1
20-20-1Fiche domicile29-11-1
25-15-1Fiche domicile24-16-1
5-4-1Derniers 10 matchs7-3-0
4.46Buts par match 4.51
4.16Buts contre par match 3.62
21.43%Pourcentage en avantage numérique25.54%
76.16%Pourcentage en désavantage numérique78.13%
Meneurs d'équipe
Buts
Noah Gregor
40
Passes
Noah Gregor
92
Points
Noah Gregor
132
Plus/Moins
Noah Gregor
36
Victoires
Jakob Markstrom
27
Pourcentage d’arrêts
Craig Anderson
0.917

Statistiques d’équipe
Buts pour
370
4.51 GFG
Tirs pour
4072
49.66 Avg
Pourcentage en avantage numérique
25.5%
94 GF
Début de zone offensive
43.8%
Buts contre
297
3.62 GAA
Tirs contre
3451
42.09 Avg
Pourcentage en désavantage numérique
78.1%%
75 GA
Début de la zone défensive
39.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,297
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure19
Limite contact 38 / 50
Espoirs42


Historique d'équipe

Saison actuelle53-27-2 (108PTS)
Historique155-79-24 (0.601%)
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 BennettXX100.00633196757577767472727264785958435000301900,000$
2Dominik SimonXXX100.007227977779818572707072638054515750002711,600,000$
3Nick SpalingXX100.006036926372778974827377717669562450003311,500,000$
4Justin FontaineX100.00512891647270826668636665726863245000341800,000$
5Joe ColborneXXX99.007136806886808768997068608263644650003221,050,000$
6Drew ShoreX100.00723089678576916893676763776156455000312700,000$
7Jesper BrattXX100.007031999978878677767378608740337350002311,300,000$
8Nathan Bastian (R)X99.00895373799280907373727563734344675000241900,000$
9Noah Gregor (R)XX97.00823285888484907773767471784042665000232500,000$
10Michael Pezzetta (R)XX100.00865968828669847172707260764642595000241500,000$
11Michael EyssimontXXX100.008545807680759964706668717550505850002511,650,000$
12Jason DemersX100.006440836279788455505447917475663050003421,350,000$
13Justin BraunX100.0062388258736788491454782487359285000341500,000$
14Jack Johnson (A)X100.00643089607689905425524988719186305000352950,000$
15Alexey MarchenkoX99.00643786788985865650525093705653495000302950,000$
16Trevor DaleyX98.005931875369738756505654886876891350003811,250,000$
17Calle RosenX99.007625987682799949704854907560605550002811,800,000$
Rayé
MOYENNE D’ÉQUIPE99.4770368772807888656463647374605745500
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
1Craig Anderson100.0070818175738787878971739999155000421750,000$
2Jakob Markstrom97.0065877782758886878676837675465000321975,000$
Rayé
MOYENNE D’ÉQUIPE98.506884797974888787887478888731500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano95787887949972USA5531,500,000$


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
1Noah GregorSan Jose (S J)LW/RW814092132369602231284221532699.48%25169120.881039491043051015519149.37%15800001.56010001295
2Jesper BrattSan Jose (S J)LW/RW80397111024360551304801013418.13%5166220.78112637113304000193450.30%16900001.3203000375
3Nick SpalingSan Jose (S J)C/LW80395392322410211643037720012.87%9162220.2913173077300000037451.27%274600011.1300001385
4Nathan BastianSan Jose (S J)RW8128416941183021174342892568.19%9143317.6981220782640005734146.76%13900000.9600132143
5Alexey MarchenkoSan Jose (S J)D732245671931544871996211111.06%163163822.447613821610005263410%000100.8200010423
6Dominik SimonSan Jose (S J)C/LW/RW8223406338022127256841858.98%6124815.224111561234000065246.81%202300011.0113000223
7Jake WalmanSan JoseD5523335612780107561905811812.11%128130023.659918931980002174120%000000.8600000613
8Calle RosenSan Jose (S J)D82183755784013364183721239.84%158165520.1971219742110110151100%000010.6600000203
9Beau BennettSan Jose (S J)LW/RW82163248975658235731846.81%9102712.5332521650002172049.11%11200000.9311010012
10Trevor DaleySan Jose (S J)D8217294673606551185561209.19%126170820.838101875304011096400%000000.5400000150
11Jack JohnsonSan Jose (S J)D829303928360965512040817.50%135148618.134610301010002210110%000000.5200000011
12Michael PezzettaSan Jose (S J)LW/RW74211839-41084014758264681937.95%5105914.31481262224000000348.11%10600000.7400215114
13Saku MaenalanenSan JoseRW75172138172607264193461418.81%22108614.4910144000123343148.25%14300000.7000000010
14Joe ColborneSan Jose (S J)C/LW/RW82142236621552141158471028.86%8117714.3623564801131613157.75%183200010.6113001300
15Jason DemersSan Jose (S J)D82529341582093588727655.75%137140917.190005150001230100%000000.4800000011
16Michael EyssimontSan Jose (S J)C/LW/RW821319326381082105155531088.39%16102112.452134300063561049.48%87100100.6300011002
17Drew ShoreSan Jose (S J)C821011211240185785235711.76%45466.66000010000600158.84%77500000.7700000101
18Justin BraunSan Jose (S J)D333912125210331622142513.64%3742212.800001200006100%000000.5700011000
19Justin FontaineSan Jose (S J)RW3035810000122181914.29%21795.9900000000000031.25%1600000.8900000010
Statistiques d’équipe totales ou en moyenne1400360637997255885115148015053900115126989.23%10042337616.70931622558902753134442207502251.79%909000240.853113811394441
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)44271500.9143.5625432115117540240.87584240342
2Craig AndersonSan Jose (S J)42261220.9173.4924042114016920210.66734042512
Statistiques d’équipe totales ou en moyenne86532720.9163.534947422913446045118282854


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Alexey MarchenkoSan Jose (S J)D301992-01-02No217 Lbs6 ft3NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$Lien
Beau BennettSan Jose (S J)LW/RW301991-11-27No200 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Calle RosenSan Jose (S J)D281994-02-02 05:53:29No188 Lbs6 ft1NoNoNoNo1Pro & Farm1,800,000$10,526$0$0$No
Craig AndersonSan Jose (S J)G421980-01-10 17:37:02No186 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$4,386$0$0$No
Dominik SimonSan Jose (S J)C/LW/RW271994-08-08No193 Lbs5 ft11NoNoNoNo1Pro & Farm1,600,000$9,357$0$0$NoLien
Drew ShoreSan Jose (S J)C311991-01-29No212 Lbs6 ft3NoNoNoNo2Pro & Farm700,000$4,094$0$0$No700,000$Lien
Jack JohnsonSan Jose (S J)D351987-01-13No238 Lbs6 ft1NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$Lien
Jakob MarkstromSan Jose (S J)G321990-01-31 11:57:02No212 Lbs6 ft6NoNoNoNo1Pro & Farm975,000$5,702$0$0$NoLien
Jason DemersSan Jose (S J)D341988-06-09No204 Lbs6 ft1NoNoNoNo2Pro & Farm1,350,000$7,895$0$0$No1,350,000$Lien
Jesper BrattSan Jose (S J)LW/RW231998-07-30No181 Lbs5 ft10NoNoNoNo1Pro & Farm1,300,000$7,602$0$0$NoLien
Joe ColborneSan Jose (S J)C/LW/RW321990-01-30No218 Lbs6 ft5NoNoNoNo2Pro & Farm1,050,000$6,140$0$0$No1,050,000$Lien
Justin BraunSan Jose (S J)D341987-09-01No204 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Justin FontaineSan Jose (S J)RW341987-11-06No178 Lbs5 ft10NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Michael EyssimontSan Jose (S J)C/LW/RW251996-09-09 16:33:07No180 Lbs6 ft0NoNoNoNo1Pro & Farm1,650,000$9,649$0$0$No
Michael PezzettaSan Jose (S J)LW/RW241998-03-13 07:54:14Yes210 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Nathan BastianSan Jose (S J)RW241997-12-06 04:11:27Yes205 Lbs6 ft4NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Nick SpalingSan Jose (S J)C/LW331988-09-19No214 Lbs6 ft1NoNoNoNo1Pro & Farm1,500,000$8,772$0$0$NoLien
Noah GregorSan Jose (S J)LW/RW231998-07-28 04:21:11Yes185 Lbs6 ft0NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Trevor DaleySan Jose (S J)D381983-10-09No199 Lbs5 ft11NoNoNoNo1Pro & Farm1,250,000$7,310$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1930.47201 Lbs6 ft11.321,048,684$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah GregorNick SpalingJesper Bratt32005
2Beau BennettJoe ColborneNathan Bastian32014
3Michael PezzettaDominik SimonMichael Eyssimont24032
4Michael EyssimontDrew ShoreJustin Fontaine12041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenAlexey Marchenko36014
2Jason DemersTrevor Daley35032
3Jack JohnsonJustin Braun29032
4Jack JohnsonTrevor Daley0005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah GregorNick SpalingJesper Bratt60005
2Michael PezzettaJoe ColborneNathan Bastian40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor DaleyCalle Rosen60014
2Jack JohnsonAlexey Marchenko40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael EyssimontNoah Gregor60140
2Joe ColborneNathan Bastian40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexey MarchenkoJason Demers60140
2Trevor DaleyJack Johnson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noah Gregor60140Alexey MarchenkoJason Demers60140
2Michael Eyssimont40140Jack JohnsonTrevor Daley40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick SpalingNoah Gregor60014
2Joe ColborneJesper Bratt40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor DaleyAlexey Marchenko60023
2Jack JohnsonCalle Rosen40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah GregorNick SpalingJesper BrattTrevor DaleyAlexey Marchenko
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah GregorJoe ColborneJesper BrattJason DemersAlexey Marchenko
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, Jesper Bratt, Michael EyssimontNathan Bastian, Dominik SimonNoah Gregor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Daley, Jack Johnson, Jason DemersJason DemersCalle Rosen, Justin Braun
Tirs de pénalité
Jesper Bratt, Joe Colborne, Dominik Simon, Noah Gregor, Beau Bennett
Gardien
#1 : Jakob Markstrom, #2 : Craig Anderson
Lignes d’attaque personnalisées en prolongation
Jesper Bratt, Noah Gregor, Nick Spaling, Nathan Bastian, Joe Colborne, Beau Bennett, Beau Bennett, Michael Pezzetta, Justin Fontaine, Michael Eyssimont, Drew Shore
Lignes de défense personnalisées en prolongation
Alexey Marchenko, Trevor Daley, Calle Rosen, Jack Johnson, Jason Demers


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
1Abbotsford65100000251510330000001578321000001082100.83325446910140131901030613371329137344257567110720420.00%21290.48%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
2Bakersfield7420010029281330000001789412001001220-890.643294877101401319010372133713291373442878374135321134.38%30486.67%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
3Bridgeport21100000770110000004221010000035-220.5007111800140131901075133713291373448728373610330.00%10550.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
4Charlotte20200000611-51010000037-41010000034-100.0006121800140131901082133713291373441142633447114.29%10370.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
5Cleveland2020000069-31010000035-21010000034-100.000610160014013190101131337132913734410334234711327.27%9633.33%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
6Coachella Valley210000101073100000106511100000042241.0001017270014013190109613371329137344100312237800.00%9277.78%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
7Eagles6330000023185321000001385312000001010060.5002344670014013190102631337132913734424159709127725.93%28678.57%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
8Grand Rapids21100000981110000006241010000036-320.5009162500140131901010013371329137344752114358337.50%7528.57%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
9Hartford2110000012931010000056-11100000073420.500121931001401319010136133713291373447123193814642.86%5260.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
10Hershey2110000078-1110000005411010000024-220.500713200014013190109713371329137344823616457228.57%8275.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
11Iowa660000003616204400000019712220000001798121.00036641000114013190102931337132913734421164579728932.14%20385.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
12Laval220000001156110000004311100000072541.0001121320014013190101091337132913734478291741900.00%60100.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
13Lehigh Valley312000001819-11100000095420200000914-520.3331834520014013190101741337132913734412137395316637.50%10280.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
14Manitoba412010001214-2201010006602110000068-240.500122133001401319010214133713291373441514332722200.00%15193.33%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
15Ontario6320100028244330000001486302010001416-280.66728538110140131901028713371329137344266886312823730.43%29775.86%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
16Providence210000019811000000145-11100000053230.75091625001401319010801337132913734494233040500.00%14192.86%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
17Rochester2000101014122100010005411000001098141.000142438001401319010133133713291373449621183311654.55%8450.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
18Rockford42200000161422110000010912110000065140.5001628441014013190101921337132913734417242317415320.00%12375.00%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
19San Diego6400200036181833000000208123100200016106121.0003665101001401319010307133713291373442477667111261038.46%29775.86%12068397851.99%1902362352.50%758147551.39%1989135518716251093548
20Springfield431000001713421100000111102200000062460.7501731481114013190101951337132913734417060386925624.00%18383.33%12068397851.99%1902362352.50%758147551.39%1989135518716251093548
21Syracuse431000001394211000006512200000074360.7501319320014013190101921337132913734414751528123417.39%14285.71%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
22Texas41201000161512020000058-321001000117440.500163046001401319010159133713291373442015949691417.14%22386.36%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
23Wilkes-Barre/Scranton20101000101001010000045-11000100065120.5001018280014013190109713371329137344802423237228.57%9277.78%02068397851.99%1902362352.50%758147551.39%1989135518716251093548
Total8244270712137029773412611020111941385641181605110176159171080.65937065810285214013190104072133713291373443451101489515063689425.54%3437578.13%22068397851.99%1902362352.50%758147551.39%1989135518716251093548
_Since Last GM Reset8244270712137029773412611020111941385641181605110176159171080.65937065810285214013190104072133713291373443451101489515063689425.54%3437578.13%22068397851.99%1902362352.50%758147551.39%1989135518716251093548
_Vs Conference57351605100251184672921701000136855128149041001159916810.711251447698521401319010278013371329137344235068160410342556224.31%2384182.77%22068397851.99%1902362352.50%758147551.39%1989135518716251093548
_Vs Division27198031001289236131410000072363614570310056560450.83312822735530140131901013681337132913734411573342975181093229.36%1182281.36%12068397851.99%1902362352.50%758147551.39%1989135518716251093548

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82108L13706581028407234511014895150652
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8244277121370297
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4126112011194138
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118165110176159
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3689425.54%3437578.13%2
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
133713291373441401319010
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
2068397851.99%1902362352.50%758147551.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1989135518716251093548


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
12Iowa3San Jose5BWSommaire du match
422San Jose1Bakersfield7ALSommaire du match
634San Diego1San Jose5BWSommaire du match
847San Jose2Bakersfield4ALSommaire du match
1055San Jose2Abbotsford4ALSommaire du match
1167Abbotsford2San Jose6BWSommaire du match
1482San Jose5Ontario4AWXSommaire du match
1592Bakersfield2San Jose8BWSommaire du match
17100San Jose2Eagles3ALSommaire du match
19115Ontario3San Jose4BWSommaire du match
22129San Jose4Abbotsford1AWSommaire du match
23139Eagles4San Jose3BLSommaire du match
26154Iowa0San Jose4BWSommaire du match
28167San Jose5Iowa4AWSommaire du match
29176Rockford6San Jose4BLSommaire du match
31185San Jose6San Diego2AWSommaire du match
33201Providence5San Jose4BLXXSommaire du match
35213San Jose3Cleveland4ALSommaire du match
37226San Jose5Providence3AWSommaire du match
38235Rochester4San Jose5BWXSommaire du match
41250San Jose5San Diego4AWXSommaire du match
43261Charlotte7San Jose3BLSommaire du match
44269Bridgeport2San Jose4BWSommaire du match
47283San Jose6Wilkes-Barre/Scranton5AWXSommaire du match
49294San Diego5San Jose8BWSommaire du match
51308San Jose6Texas5AWXSommaire du match
53320Abbotsford2San Jose4BWSommaire du match
56338Hartford6San Jose5BLSommaire du match
58347San Jose7Laval2AWSommaire du match
59360Hershey4San Jose5BWSommaire du match
61371San Jose2Hershey4ALSommaire du match
63377San Jose4Coachella Valley2AWSommaire du match
65392San Jose7Hartford3AWSommaire du match
66399Manitoba2San Jose3BWXSommaire du match
69411San Jose5Ontario6ALSommaire du match
70423Eagles1San Jose2BWSommaire du match
73437San Jose4Ontario6ALSommaire du match
74446San Jose4Abbotsford3AWSommaire du match
75456Wilkes-Barre/Scranton5San Jose4BLSommaire du match
78472Bakersfield3San Jose5BWSommaire du match
80488Manitoba4San Jose3BLSommaire du match
82498San Jose9Rochester8AWXXSommaire du match
84509San Jose3Grand Rapids6ALSommaire du match
86518Texas4San Jose2BLSommaire du match
89537Bakersfield3San Jose4BWSommaire du match
91550San Jose3Charlotte4ALSommaire du match
93560Cleveland5San Jose3BLSommaire du match
95574San Jose5Texas2AWSommaire du match
97583San Diego2San Jose7BWSommaire du match
99595San Jose5San Diego4AWXSommaire du match
101608Ontario3San Jose4BWSommaire du match
103621San Jose5Lehigh Valley7ALSommaire du match
104628San Jose2Springfield0AWSommaire du match
106637San Jose3Bridgeport5ALSommaire du match
107645Laval3San Jose4BWSommaire du match
110664Eagles3San Jose8BWSommaire du match
112680Iowa2San Jose6BWSommaire du match
115691San Jose4Bakersfield5ALXSommaire du match
117702San Jose4Lehigh Valley7ALSommaire du match
118713Abbotsford3San Jose5BWSommaire du match
121731Lehigh Valley5San Jose9BWSommaire du match
123743San Jose4Eagles5ALSommaire du match
125754Texas4San Jose3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128769San Jose4Eagles2AWSommaire du match
130776San Jose4Rockford2AWSommaire du match
132784Coachella Valley5San Jose6BWXXSommaire du match
135799San Jose4Springfield2AWSommaire du match
136807Grand Rapids2San Jose6BWSommaire du match
139820San Jose2Syracuse1AWSommaire du match
141829Syracuse3San Jose1BLSommaire du match
144848Ontario2San Jose6BWSommaire du match
146862San Jose4Manitoba3AWSommaire du match
147871Springfield3San Jose5BWSommaire du match
150885San Jose2Manitoba5ALSommaire du match
151894San Jose5Bakersfield4AWSommaire du match
153902Iowa2San Jose4BWSommaire du match
156918San Jose5Syracuse3AWSommaire du match
157927Syracuse2San Jose5BWSommaire du match
160945Rockford3San Jose6BWSommaire du match
162955San Jose2Rockford3ALSommaire du match
167968San Jose12Iowa5AWSommaire du match
170983Springfield8San Jose6BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance63,27430,887
Assistance PCT77.16%75.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2297 - 76.55% 134,681$5,521,915$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,530,938$ 1,992,500$ 1,992,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,652$ 2,039,698$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 20,424$ 20,424$




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 McCoshen23656130186-453495442956658.42%557582324.6821264732221310600%20.6400
2Michael Frolik2237610317941161992197619.99%38437719.63173754172415169348.86%00.8203
3Tyler Pitlick17164106170-29882952707328.74%57371621.732136571720221210351.90%20.9113
4Shane Prince164647814207223414851612.40%14242314.781220326800008449.50%01.1700
5Ladislav Smid2465682138739551215046512.04%436514920.932818462470118820%00.5400

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
1Eric Comrie106523980.9163.596017124360426402200
2Adam Dennis52261860.9064.483030160226239802000
3Karri Ramo29121500.8923.64153420938590111.0005
4Cam Talbot25111120.9192.91144501708600210.6673
5Jonathan Quick3482420.9163.88204300132157000404

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
2182353803501311340-29411819013001621511141171902201149189-4082311555866321231018443666130212001145223814109476214663467120.52%3287975.91%31874367950.94%1877373650.24%756146851.50%1900127319486291089541
2182353803501311340-29411819013001621511141171902201149189-4082311555866321231018443666130212001145223814109476214663467120.52%3287975.91%31874367950.94%1877373650.24%756146851.50%1900127319486291089541
Total Saison régulière246126790197105104985619312371370516353640513112355420146425134516232210491840288910838537426133111483644364137601519646284626394391107325123.39%100621079.13%858571121352.23%53881036152.00%2245431152.08%592540305691187432711638
Séries éliminatoires
Total Séries éliminatoires514000001317-4312000001011-12020000036-32132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734

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