Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Connexion

San Jose
GP: 20 | W: 16 | L: 4
GF: 109 | GA: 77 | PP%: 33.67% | PK%: 75.27%
DG: Vincent Fournier | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
San Jose
16-4-0, 32pts
5
FINAL
7 Bridgeport
13-9-0, 26pts
Team Stats
W1SéquenceL1
9-2-0Fiche domicile7-3-0
7-2-0Fiche domicile6-6-0
9-1-0Derniers 10 matchs4-6-0
5.45Buts par match 3.55
3.85Buts contre par match 4.09
33.67%Pourcentage en avantage numérique21.82%
75.27%Pourcentage en désavantage numérique63.54%
Bridgeport
13-9-0, 26pts
3
FINAL
4 San Jose
16-4-0, 32pts
Team Stats
L1SéquenceW1
7-3-0Fiche domicile9-2-0
6-6-0Fiche domicile7-2-0
4-6-0Derniers 10 matchs9-1-0
3.55Buts par match 5.45
4.09Buts contre par match 3.85
21.82%Pourcentage en avantage numérique33.67%
63.54%Pourcentage en désavantage numérique75.27%
Meneurs d'équipe
Buts
Parker Kelly
14
Passes
Nick Spaling
25
Points
Nick Spaling
39
Plus/Moins
Trevor Daley
13
Victoires
Jakob Markstrom
9
Pourcentage d’arrêts
Craig Anderson
0.928

Statistiques d’équipe
Buts pour
109
5.45 GFG
Tirs pour
1052
52.60 Avg
Pourcentage en avantage numérique
33.7%
33 GF
Début de zone offensive
42.9%
Buts contre
77
3.85 GAA
Tirs contre
926
46.30 Avg
Pourcentage en désavantage numérique
75.3%%
23 GA
Début de la zone défensive
40.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,856
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure19
Limite contact 38 / 50
Espoirs42


Historique d'équipe

Saison actuelle16-4
Historique102-52-16 (0.600%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)17-8
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
1Saku Maenalanen (R)X100.00843094778973866870666976756060485000281500,000$
2Beau BennettXX100.00623196757577767472737263785958435000301900,000$
3Dominik SimonXXX100.007127977779818572707073638054515750002711,600,000$
4Nick SpalingXX100.006036936372778974827377717669562450003311,500,000$
5Justin FontaineX100.00502892647270826568626564726863245000341800,000$
6Joe ColborneXXX100.007136806886808768997168608263644650003221,050,000$
7Peter HollandXXX100.00682398738483896979667373846759515000311600,000$
8Drew ShoreX100.00713089678576916793676763776156455000312700,000$
9Nathan Bastian (R)X100.00895373799280907473727663734344675000241900,000$
10Michael Pezzetta (R)XX100.00865967838769847172707260764642595000241500,000$
11Parker Kelly (R)XX100.00824080838476967269717473784041625000232500,000$
12Michael EyssimontXXX100.008545807680759964706668727550505850002511,650,000$
13Jason DemersX100.006440826279788455505447927475663050003421,350,000$
14Justin BraunX100.0062388258736788491454782487359285000341500,000$
15Jack Johnson (A)X100.00643089607689905425524989719186305000352950,000$
16Trevor DaleyX100.005931875268738756505654896876891350003811,250,000$
17Calle RosenX100.007625987682799949704854907560605550002811,800,000$
Rayé
MOYENNE D’ÉQUIPE100.0071358770807788656564657374625944500
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 Anderson100.0070818175738788878971739999155000421750,000$
2Jakob Markstrom100.0065877782758886878676837675455000321975,000$
Rayé
MOYENNE D’ÉQUIPE100.006884797974888787887478888730500
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
1Nick SpalingSan Jose (S J)C/LW2014253970052998196514.29%639019.5069152777000004153.11%67600012.0000000411
2Parker KellySan Jose (S J)C/LW1714193381405028116266912.07%436421.45591429581011375048.39%3100001.8100000253
3Dominik SimonSan Jose (S J)C/LW/RW2012112342031675265716.00%328214.135493060000002148.39%37200001.6300000103
4Joe ColborneSan Jose (S J)C/LW/RW2051722740104346104710.87%339119.5624610650221420158.12%65900001.1200000100
5Nathan BastianSan Jose (S J)RW2012102261405231107348111.21%339419.750663176000000246.88%3200001.1100000221
6Jack JohnsonSan Jose (S J)D20417219180212436182611.11%4046523.280661860022066010%000000.9000000010
7Calle RosenSan Jose (S J)D209122110240421474133912.16%4548424.2173103677000067000%000000.8700000000
8Peter HollandSan Jose (S J)C/LW/RW17713202009167416599.46%332118.933692262000012060.00%3000001.2400000101
9Beau BennettSan Jose (S J)LW/RW20415195002258532594.71%534417.250551365000000150.00%3200001.1000000000
10Michael PezzettaSan Jose (S J)LW/RW208101845020481270185011.43%128014.004372362000001060.87%2300001.2900112002
11Saku MaenalanenSan Jose (S J)RW20651156018286223579.68%634217.14000010003900031.58%3800100.6400000001
12Trevor DaleySan Jose (S J)D20191013801518238244.35%3942721.36000110011162000%000000.4700000000
13Michael EyssimontSan Jose (S J)C/LW/RW20371033354425379288.11%2136818.43000140004750047.59%18700000.5400000010
14Jason DemersSan Jose (S J)D203691231525113716138.11%5139319.6900001000066100%000000.4600001000
15Jesper BrattSan JoseLW/RW325722056218159.52%06622.3212361600002000%800002.0900000010
16Noah GregorSan JoseLW/RW33363401132031015.00%17023.39022516101251061.54%1300011.7100000100
17Justin BraunSan Jose (S J)D200440203827670%3428114.0500000000023000%000000.2800000000
18Drew ShoreSan Jose (S J)C202133204132052210.00%11487.43000001011320060.67%23900000.4000000000
19Justin FontaineSan Jose (S J)RW2001120016234190%21135.6900000000000050.00%800000.1800000000
20Alexey MarchenkoSan JoseD1000020221000%22323.220001200004000%00000000000000
Statistiques d’équipe totales ou en moyenne34110919029910521630370358105229474710.36%270595617.473359922537213581357816753.58%234800121.0000113121112
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)129200.9104.25677804853500100128021
2Craig AndersonSan Jose (S J)107200.9283.09544202839002000812200
Statistiques d’équipe totales ou en moyenne2216400.9183.7312221007692502102020221


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 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 Non Activé 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 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
Beau BennettSan Jose (S J)LW/RW301991-11-27No200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Calle RosenSan Jose (S J)D281994-02-02 05:53:29No188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,800,000$0$0$No------------------
Craig AndersonSan Jose (S J)G421980-01-10 17:37:02No186 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Dominik SimonSan Jose (S J)C/LW/RW271994-08-08No193 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,600,000$0$0$No------------------Lien
Drew ShoreSan Jose (S J)C311991-01-29No212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------Lien
Jack JohnsonSan Jose (S J)D351987-01-13No238 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------No--------Lien
Jakob MarkstromSan Jose (S J)G321990-01-31 11:57:02No212 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------Lien
Jason DemersSan Jose (S J)D341988-06-09No204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------No--------Lien
Joe ColborneSan Jose (S J)C/LW/RW321990-01-30No218 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------No--------Lien
Justin BraunSan Jose (S J)D341987-09-01No204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------Lien
Justin FontaineSan Jose (S J)RW341987-11-06No178 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien
Michael EyssimontSan Jose (S J)C/LW/RW251996-09-09 16:33:07No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,650,000$0$0$No------------------
Michael PezzettaSan Jose (S J)LW/RW241998-03-13 07:54:14Yes210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------Lien
Nathan BastianSan Jose (S J)RW241997-12-06 04:11:27Yes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Nick SpalingSan Jose (S J)C/LW331988-09-19No214 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No------------------Lien
Parker KellySan Jose (S J)C/LW231999-05-14 07:56:22Yes190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Peter Holland (contrat à 1 volet)San Jose (S J)C/LW/RW311991-01-24No203 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm600,000$6,000$0$No------------------Lien
Saku MaenalanenSan Jose (S J)RW281994-05-29 23:04:39Yes214 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Trevor DaleySan Jose (S J)D381983-10-09No199 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1930.79203 Lbs6 ft21.26988,158$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyNick SpalingPeter Holland32005
2Beau BennettJoe ColborneNathan Bastian30014
3Michael PezzettaDominik SimonSaku Maenalanen24032
4Michael EyssimontDrew ShoreJustin Fontaine14041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenTrevor Daley37014
2Jason DemersJack Johnson35032
3Michael EyssimontJustin Braun28041
4Jack JohnsonTrevor Daley0005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyNick SpalingPeter Holland60005
2Beau BennettJoe ColborneMichael Pezzetta40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenNathan Bastian60014
2Jack JohnsonDominik Simon40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael EyssimontSaku Maenalanen60140
2Joe ColborneParker Kelly40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenJason Demers60140
2Trevor DaleyJack Johnson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Parker Kelly60140Calle RosenJason Demers60140
2Saku Maenalanen40140Jack JohnsonTrevor Daley40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick SpalingParker Kelly60014
2Joe ColbornePeter Holland40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor DaleyJason Demers60023
2Jack JohnsonCalle Rosen40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyNick SpalingPeter HollandTrevor DaleyCalle Rosen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Parker KellyJoe ColborneSaku MaenalanenJason DemersCalle Rosen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, Saku Maenalanen, Michael EyssimontNathan Bastian, Michael PezzettaDrew Shore
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Daley, Jack Johnson, Jason DemersTrevor DaleyJack Johnson, Justin Braun
Tirs de pénalité
Parker Kelly, Joe Colborne, Dominik Simon, Peter Holland, Beau Bennett
Gardien
#1 : Craig Anderson, #2 : Jakob Markstrom
Lignes d’attaque personnalisées en prolongation
Parker Kelly, Peter Holland, Nick Spaling, Nathan Bastian, Joe Colborne, Beau Bennett, Beau Bennett, Michael Pezzetta, Saku Maenalanen, Michael Eyssimont, Drew Shore
Lignes de défense personnalisées en prolongation
Trevor Daley, Calle Rosen, Jason Demers, Jack Johnson, Justin Braun


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
1Bridgeport541000003819193300000025817211000001311280.800387010810324034328133534435023245625876221568.18%24770.83%1566100756.21%48495250.84%20838953.47%484326474149265135
2Manitoba5410000029254321000001616022000000139480.80029497800324034329133534435023255737210824625.00%27966.67%2566100756.21%48495250.84%20838953.47%484326474149265135
3San Diego6420000024240321000001315-232100000119280.66724386200324034326833534435023282947412826623.08%31680.65%0566100756.21%48495250.84%20838953.47%484326474149265135
4Syracuse440000001899220000009452200000095481.0001833510032403432123353443502314441225826623.08%11190.91%0566100756.21%48495250.84%20838953.47%484326474149265135
Total2016400000109773211920000063432097200000463412320.800109190299103240343105233534435023926270226370983333.67%932375.27%3566100756.21%48495250.84%20838953.47%484326474149265135
_Since Last GM Reset2016400000109773211920000063432097200000463412320.800109190299103240343105233534435023926270226370983333.67%932375.27%3566100756.21%48495250.84%20838953.47%484326474149265135
_Vs Conference1512300000715813862000003835376100000332310240.8007112019100324034377133534435023681208168294761823.68%691676.81%2566100756.21%48495250.84%20838953.47%484326474149265135
_Vs Division6420000024240321000001315-232100000119280.66724386200324034326833534435023282947412826623.08%31680.65%0566100756.21%48495250.84%20838953.47%484326474149265135

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2032W1109190299105292627022637010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
20164000010977
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
119200006343
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200004634
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
983333.67%932375.27%3
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
335344350233240343
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
566100756.21%48495250.84%20838953.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
484326474149265135


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
27Manitoba4San Jose5WSommaire du match
415Manitoba6San Jose4LSommaire du match
623San Jose7Manitoba6WXSommaire du match
831San Jose6Manitoba3WSommaire du match
1039Manitoba6San Jose7WXSommaire du match
1660San Diego6San Jose2LSommaire du match
1864San Diego4San Jose5WSommaire du match
2068San Jose2San Diego3LSommaire du match
2272San Jose3San Diego2WSommaire du match
2476San Diego5San Jose6WXSommaire du match
2680San Jose6San Diego4WSommaire du match
3086Syracuse1San Jose4WSommaire du match
3288Syracuse3San Jose5WSommaire du match
3490San Jose2Syracuse1WSommaire du match
3692San Jose7Syracuse4WSommaire du match
4399Bridgeport2San Jose11WSommaire du match
44100Bridgeport3San Jose10WSommaire du match
45101San Jose8Bridgeport4WSommaire du match
46102San Jose5Bridgeport7LSommaire du match
47103Bridgeport3San Jose4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance21,06410,353
Assistance PCT95.75%94.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2856 - 95.20% 167,374$1,841,117$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,817,500$ 1,817,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




San Jose Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Michael Frolik14850711215701341485029.96%23297920.13122638119314116248.53%00.8103
2Ian McCoshen1583586121-252323351904108.54%349390824.741418321991126400%10.6200
3Tyler Pitlick1064465109-10521791694509.78%34230021.7113233610301197252.55%20.9512
4Ladislav Smid164335184426434910228211.70%291343920.971513281490115520%00.4900
5Matt Nieto107275279-1334551443597.52%11197218.44715226501170046.67%00.8011

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 Comrie71322760.9123.603982102239272201100
2Adam Dennis2613930.9064.48151580113119901000
3Karri Ramo29121500.8923.64153420938590111.0005
4Cam Talbot25111120.9192.91144501708600210.6673
5Jonathan Quick1741210.9163.881021006678500202

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
Total Saison régulière1648252012684679559120824526031523422677582372609532337292452146791182186156245243171237076230723122387107619518321744288570515722.27%66313579.64%63789723552.37%3486673851.74%1487283652.43%393626753820124821781089
Séries éliminatoires
21734000002632-63210000014140413000001218-6626487400898134210792129143811099111827518.52%32778.13%016533848.82%18536750.41%4912339.84%158105175559344
Total Séries éliminatoires251780000012294281410400000735419117400000494093412221433610374537312083963983912311043112724411163731.90%1162677.59%3670120755.51%575115649.74%24646652.79%597399593186333170

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 Sedlak6257-22517326.25%114123.64022000010055.04%00.9900
2Rob Schremp7347304101618.75%29413.56000000000051.41%01.4800
3Alan Quine7257-22315316.45%211616.58022400001048.26%01.2100
4Michael Frolik725722561711.76%18812.62000100000020.00%01.5800
5Tyler Pitlick7336-28893010.00%714420.60101300000022.73%00.8300

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
2Adam Dennis31200.9294.49187001419800000
3Eric Comrie10100.8606.00600064300000