San Jose

DG: Marc-Andre Bois Morale : 10 Moyenne d'Équipe : 59
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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 SP
1Brad RichardsXXX100.00493591766873866785676661558679030670
2Andrew ShawXXX100.00785675785470946081576363565351032640
3Kyle BrodziakXX100.00575682687464925784526172486657032630
4Matt BeleskeyX100.00785677767069826235586562485750022630
5Zemgus GirgensonsXXX100.00684387697071825879556176504636022630
6Scott GomezX100.00493588756864535781625255508881048610
7Eric NystromXX100.00665085686963685235436170486152018590
8Anton LanderX100.00603587675765674986485074454640030570
9Kerby RychelX100.00584383697161425335584867423532021560
10Barclay GoodrowXX100.00595076667558455147534871453532023550
11Daniel CarrXX100.00533586776353375035485261483532021540
12Jake GuentzelXX100.00434343435243434343434343433230022430
13Nicklas GrossmanX100.00724384607972764535434781486052028640
14Damon SeversonX100.00623584696871765035554567453532030600
15Shayne GostisbehereX100.00483585844563486445636470453532021600
16Brett PesceX100.00513588646656494635474580483532016570
17Connor CarrickX100.00644377696252374635405171483532030560
18Joshua MorrisseyX100.00513595716353353135303263483532071520
Rayé
1Mike RibeiroXX96.96533578815576957178806163457868023690
2Nazem KadriX91.71674376786477937182717162495045013670
3Miikka Salomaki (R)XX97.90783584706758474845445271483532021550
4Curtis McKenzieXX100.00695071697157374736415263483532078530
5Martin MarincinX100.00604383616769684435454382564436011600
6Casey Nelson (R)X100.00523570705852353635393264483532061520
MOYENNE D'ÉQUIPE99.3360428170656362525252536748484303059
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 SP
1Keith Kinkaid100.0057458873596762617265874036010600
2Connor Hellebuyck100.0049459079514949524865803532012530
Rayé
MOYENNE D'ÉQUIPE100.005345897655585657606584383401157
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley88888994999993CAN562500,000$


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'ÉquipePOS GP 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
1Nazem KadriSan JoseC64282957-14475781311840015.22%7117118.3181119532951014423348.52%135400000.9724000334
2Shayne GostisbehereSan JoseD78154257-3642044851470010.20%89170621.8771825993120114163000.00%000010.6700000341
3Brad RichardsSan JoseC/LW/RW81183351-411202493199009.05%13153818.9991019583170000761064.63%14700000.6600000202
4Mike RibeiroSan JoseC/LW69182240-28240631731510011.92%15135719.6769154127000031323049.11%168000000.5912000213
5Kyle BrodziakSan JoseC/RW82152136-28603051821380010.87%19133916.34411156330100021830152.85%19300000.5400222020
6Matt BeleskeySan JoseLW80112334-131223014369143007.69%7121915.2415631210000002133.66%10100000.5600123023
7Andrew ShawSan JoseC/LW/RW82121931-2611230174103142008.45%12133116.23358331861015972149.62%39500000.4715015110
8Damon SeversonSan JoseD8271522-4394012754570012.28%103186822.793710373460001298100.00%000000.2400000010
9Nicklas GrossmanSan JoseD4921820-306401223642004.76%75101320.6812319910001145000.00%000000.3900000121
10Connor CarrickSan JoseD7761319-13109512244570010.53%49131017.0216721203000037000.00%000000.2900010000
11Anton LanderSan JoseC8271118-7803075700010.00%1185110.390111802252360050.00%79800000.4200000210
12Brett PesceSan JoseD7041418-14400425063006.35%73136019.44246422340001244100.00%000000.2600000010
13Zemgus GirgensonsSan JoseC/LW/RW827916-2468106016680008.75%18113713.87123115800033070048.63%127300000.2802000001
14Miikka SalomakiSan JoseLW/RW777714-2046010448650010.77%981310.5700021200021151037.93%5800100.3400000010
15Eric NystromSan JoseLW/RW615813-43210333668007.35%561610.1011241310141071032.00%7500000.4200002010
16Kerby RychelSan JoseLW5221012180162138005.26%53867.4400000000001020.83%2400000.6200000102
17Martin MarincinSan JoseD6521012-23915905142004.76%88121718.7300015990001223100.00%000000.2000000020
18Scott GomezSan JoseC201910-154053426003.85%133716.86134865000000054.72%37100000.5904000000
19Barclay GoodrowSan JoseLW/RW49459-121552628300013.33%23918.0001116000030033.33%2700000.4600100210
20Daniel CarrSan JoseLW/RW35358-4801313280010.71%035410.13224896000020118.75%3200000.4500000001
21Casey NelsonSan JoseD14044-5601244000.00%1723616.86011219011125000.00%000000.3400000000
22Joshua MorrisseySan JoseD6101-3402230033.33%412721.21101128000017000.00%000000.1600000000
23Jake GuentzelSan JoseC/LW4000-720411000.00%07418.51000019000000037.50%800000.0001000000
24Curtis McKenzieSan JoseLW/RW1000000111000.00%01010.880000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1362175327502-4091018130138614001779009.84%6222177115.995199150550319834737246117748.94%653600110.464184612172318
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
1Keith KinkaidSan Jose63163170.8823.3132660218015230020.500105319412
2Connor HellebuyckSan Jose3251630.8274.931388201146600100.615132540000
Stats d'équipe Total ou en Moyenne952147100.8653.7946552229421830120.565237859412


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrew ShawSan JoseC/LW/RW241991-07-20No179 Lbs5 ft11NoNo2Avec RestrictionPro & Farm2,000,000$2,000,000$Lien
Anton LanderSan JoseC241991-04-24No184 Lbs6 ft0NoNo4Avec RestrictionPro & Farm900,000$900,000$900,000$900,000$Lien
Barclay GoodrowSan JoseLW/RW221993-02-26No215 Lbs6 ft2NoNo3Avec RestrictionPro & Farm610,000$610,000$610,000$Lien
Brad Richards (Contrat à 1 Volet)San JoseC/LW/RW351980-05-02No199 Lbs6 ft0YesNo3Sans RestrictionPro & Farm8,000,000$6,000,000$2,650,000$Lien
Brett PesceSan JoseD201994-11-15No200 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm743,000$743,000$743,000$743,000$Lien
Casey NelsonSan JoseD231992-07-18Yes183 Lbs6 ft2NoNo4Avec RestrictionPro & Farm925,000$925,000$925,000$925,000$Lien
Connor CarrickSan JoseD211994-04-13No193 Lbs5 ft11NoNo2Contrat d'EntréePro & Farm630,000$630,000$Lien
Connor HellebuyckSan JoseG221993-05-19No207 Lbs6 ft4NoNo4Avec RestrictionPro & Farm667,000$667,000$667,000$667,000$Lien
Curtis McKenzieSan JoseLW/RW241991-02-22No205 Lbs6 ft2NoNo3Avec RestrictionPro & Farm670,000$670,000$670,000$Lien
Damon SeversonSan JoseD211994-08-07No205 Lbs6 ft2NoNo2Contrat d'EntréePro & Farm888,000$888,000$Lien
Daniel CarrSan JoseLW/RW231991-11-01No191 Lbs6 ft0NoNo4Avec RestrictionPro & Farm892,000$892,000$892,000$892,000$Lien
Eric NystromSan JoseLW/RW321983-02-14No200 Lbs6 ft1NoNo2Sans RestrictionPro & Farm1,250,000$1,250,000$Lien
Jake GuentzelSan JoseC/LW201994-10-06No175 Lbs5 ft10NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Joshua MorrisseySan JoseD201995-03-28No195 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Keith KinkaidSan JoseG261989-07-04No195 Lbs6 ft3NoNo1Avec RestrictionPro & Farm665,000$Lien
Kerby RychelSan JoseLW201994-10-07No205 Lbs6 ft1NoNo3Contrat d'EntréePro & Farm925,000$925,000$925,000$Lien
Kyle BrodziakSan JoseC/RW311984-05-25No212 Lbs6 ft2YesNo5Sans RestrictionPro & Farm2,275,000$2,275,000$2,000,000$1,750,000$1,750,000$Lien
Martin MarincinSan JoseD231992-02-18No201 Lbs6 ft4NoNo2Avec RestrictionPro & Farm690,000$690,000$Lien
Matt BeleskeySan JoseLW271988-06-07No203 Lbs6 ft0NoNo6Avec RestrictionPro & Farm2,750,000$2,750,000$2,750,000$2,750,000$2,750,000$2,750,000$Lien
Miikka SalomakiSan JoseLW/RW221993-03-09Yes198 Lbs5 ft11NoNo3Avec RestrictionPro & Farm807,000$807,000$807,000$Lien
Mike Ribeiro (Contrat à 1 Volet)San JoseC/LW351980-02-10No179 Lbs6 ft0YesNo3Sans RestrictionPro & Farm6,500,000$4,000,000$2,500,000$Lien
Nazem KadriSan JoseC241990-10-06No192 Lbs6 ft0NoNo2Avec RestrictionPro & Farm2,200,000$2,200,000$Lien
Nicklas Grossman (Sur la Masse Salariale)San JoseD301985-01-22No230 Lbs6 ft4NoNo6Sans RestrictionPro & Farm3,000,000$2,750,000$2,500,000$2,000,000$1,750,000$1,500,000$Lien
Scott GomezSan JoseC351979-12-23No200 Lbs5 ft11NoNo3Sans RestrictionPro & Farm3,000,002$3,000,002$3,000,002$Lien
Shayne GostisbehereSan JoseD221993-04-20No160 Lbs5 ft11NoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$Lien
Zemgus GirgensonsSan JoseC/LW/RW211994-01-05No203 Lbs6 ft1NoNo2Contrat d'EntréePro & Farm925,000$925,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.88197 Lbs6 ft13.231,710,077$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
44,462,002$39,047,002$25,089,002$12,252,000$6,250,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake GuentzelScott GomezBrad Richards40122
2Matt BeleskeyAndrew ShawKyle Brodziak30122
3Kerby RychelZemgus GirgensonsEric Nystrom20122
4Daniel CarrAnton LanderBarclay Goodrow10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicklas GrossmanShayne Gostisbehere40122
2Joshua MorrisseyDamon Severson30122
3Connor CarrickBrett Pesce20122
4Nicklas GrossmanShayne Gostisbehere10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake GuentzelScott GomezAndrew Shaw60122
2Daniel CarrZemgus GirgensonsKyle Brodziak40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joshua MorrisseyShayne Gostisbehere60122
2Brett PesceDamon Severson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zemgus GirgensonsAndrew Shaw60122
2Anton LanderEric Nystrom40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicklas GrossmanShayne Gostisbehere60122
2Brett PesceDamon Severson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Eric Nystrom60122Nicklas GrossmanShayne Gostisbehere60122
2Anton Lander40122Brett PesceDamon Severson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott GomezZemgus Girgensons60122
2Anton LanderKyle Brodziak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicklas GrossmanShayne Gostisbehere60122
2Joshua MorrisseyDamon Severson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kerby RychelJake GuentzelAndrew ShawDamon SeversonShayne Gostisbehere
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Eric NystromAnton LanderKyle BrodziakNicklas GrossmanBrett Pesce
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Beleskey, Jake Guentzel, Andrew ShawZemgus Girgensons, Daniel CarrAnton Lander
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Connor Carrick, Shayne Gostisbehere, Damon SeversonBrett PesceJoshua Morrissey, Nicklas Grossman
Tirs de Pénalité
Zemgus Girgensons, Scott Gomez, Jake Guentzel, Kyle Brodziak, Andrew Shaw
Gardien
#1 : Keith Kinkaid, #2 : Connor Hellebuyck


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
LigueDomicileVisiteur
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
Anaheim512000021318-530100002812-42110000056-140.400132437004450130474039814546798427311.11%31680.65%01303265249.13%1314269648.74%620131247.26%12080124406431
Atlanta2010010059-41000010045-11010000014-310.2505914000140581516270411718381317.69%9366.67%01303265249.13%1314269648.74%620131247.26%523543142714
Boston20200000410-61010000026-41010000024-200.00048120004007122232606310204217211.76%5180.00%01303265249.13%1314269648.74%620131247.26%483345152612
Buffalo20200000511-61010000015-41010000046-200.00059140023005613271604410243212325.00%12558.33%01303265249.13%1314269648.74%620131247.26%463148162411
Calgary522001001418-431100100911-22110000057-250.500142539009320119424331315041691013239.38%26773.08%01303265249.13%1314269648.74%620131247.26%10870129406632
Philadelphie21000100431110000002021000010023-130.7504812012110501922635622333914214.29%13192.31%01303265249.13%1314269648.74%620131247.26%462951162612
Chicago30200010910-1201000107701010000023-120.33391524002512571421204962834485120.00%17194.12%11303265249.13%1314269648.74%620131247.26%603985243917
Colorado211000006601010000013-21100000053220.50061117001320391311150701429327114.29%10280.00%01303265249.13%1314269648.74%620131247.26%402555162411
Kansas City30200001913-41010000013-220100001810-210.167914230052207327202268532345617423.53%17382.35%01303265249.13%1314269648.74%620131247.26%694577253818
Detroit2020000018-71010000015-41010000003-300.00012300001035618110651830301200.00%13376.92%01303265249.13%1314269648.74%620131247.26%442950162511
Edmonton504001001430-16302001001218-620200000212-1010.100142640006260144425148317453788438513.16%28871.43%01303265249.13%1314269648.74%620131247.26%10468136396229
Islanders2020000049-51010000025-31010000024-200.0004711003010461616140551424311516.67%11463.64%01303265249.13%1314269648.74%620131247.26%442951162411
LA Kings50400010819-112020000029-730200010610-420.20081321003221102413030415644809822418.18%31583.87%01303265249.13%1314269648.74%620131247.26%9964140416428
Minnesota31200000710-31010000015-42110000065120.33371320003220561521200772224511516.67%100100.00%01303265249.13%1314269648.74%620131247.26%684472233818
Hartford2110000048-41010000016-51100000032120.500471100022041821120612126368112.50%11372.73%01303265249.13%1314269648.74%620131247.26%422651162612
Ottawa21100000651110000002021010000045-120.50061218011320421111200481520375120.00%9277.78%01303265249.13%1314269648.74%620131247.26%422951162511
Pittsburgh20200000412-81010000037-41010000015-400.0004711002110632723130381610431417.14%5260.00%01303265249.13%1314269648.74%620131247.26%483345152511
Rangers2010001034-11010000002-21000001032120.50034700002151181516664152230700.00%60100.00%01303265249.13%1314269648.74%620131247.26%473149162813
St-Louis30300000516-1120200000311-81010000025-300.0005101500113063311913011127536012216.67%24579.17%01303265249.13%1314269648.74%620131247.26%583685243515
Tampa Bay211000008711010000045-11100000042220.5008152300134063182520041819319222.22%7357.14%01303265249.13%1314269648.74%620131247.26%473248142412
Toronto2110000078-1110000004221010000036-320.50071421003310491522120602018328337.50%8362.50%01303265249.13%1314269648.74%620131247.26%453247132613
Vancouver504000011126-152020000039-630200001817-910.10011182900344096343131314141598816425.00%25484.00%11303265249.13%1314269648.74%620131247.26%9863141416429
Quebec2110000057-21010000025-31100000032120.5005914002120451991705816222414321.43%11281.82%01303265249.13%1314269648.74%620131247.26%463049152311
Winnipeg30300000510-51010000024-22020000036-300.00059141011307521262806830375110110.00%16381.25%01303265249.13%1314269648.74%620131247.26%704670223918
Nashville521011001818021001000743311001001114-370.7001831490067411434345541133357210933721.21%26484.62%01303265249.13%1314269648.74%620131247.26%12283117386230
Montreal2110000067-11010000036-31100000031220.50061218003120622025170551427411500.00%11281.82%01303265249.13%1314269648.74%620131247.26%473246142513
Washington210000015411000000123-11100000031230.75059140022106020182134414234610110.00%9277.78%01303265249.13%1314269648.74%620131247.26%543642142714
Caroline20200000610-41010000035-21010000035-200.000611171040204314121706120203910110.00%10370.00%01303265249.13%1314269648.74%620131247.26%442748162713
Las Vegas321000001183220000009361010000025-340.6671120310044307123232507729485417317.65%14285.71%11303265249.13%1314269648.74%620131247.26%775366213618
Vs Division305170131378129-511528012024163-221539001113766-29200.33378137215003122232734249240233228992604375641682615.48%1673479.64%11303265249.13%1314269648.74%620131247.26%654430789242385183
Vs Conference5093101324130202-7225415012126599-34255160011265103-38310.31013022935910484039411683933813763214834426969162513915.54%2755081.82%31303265249.13%1314269648.74%620131247.26%10997201302400638303
Since Last GM Reset82175101535207324-1174172601313101166-6541102500222106158-52520.3172073725792273656552003654684641442337692105214874346114.06%4258979.06%31303265249.13%1314269648.74%620131247.26%1848122320746501054506
Total82175101535207324-1174172601313101166-6541102500222106158-52520.3172073725792273656552003654684641442337692105214874346114.06%4258979.06%31303265249.13%1314269648.74%620131247.26%1848122320746501054506

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8252W1207372579200323376921052148722
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8217511535207324
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
417261313101166
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4110250222106158
Derniers 10 Matchs
WLOTWOTL SOWSOL
360001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4346114.06%4258979.06%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
654684641447365655
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
1303265249.13%1314269648.74%620131247.26%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1848122320746501054506


Derniers Match 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
1 - 2016-10-124LA Kings5San Jose1LSommaire du Match
4 - 2016-10-1524San Jose1Atlanta4LSommaire du Match
6 - 2016-10-1733San Jose3Rangers2WXXSommaire du Match
7 - 2016-10-1839San Jose2Islanders4LSommaire du Match
9 - 2016-10-2053San Jose1Pittsburgh5LSommaire du Match
11 - 2016-10-2276San Jose0Detroit3LSommaire du Match
14 - 2016-10-2593Anaheim5San Jose4LXXSommaire du Match
16 - 2016-10-27106Atlanta5San Jose4LXSommaire du Match
18 - 2016-10-29120Las Vegas1San Jose4WSommaire du Match
21 - 2016-11-01137San Jose3Nashville4LXSommaire du Match
23 - 2016-11-03155Calgary5San Jose3LSommaire du Match
25 - 2016-11-05173Pittsburgh7San Jose3LSommaire du Match
28 - 2016-11-08187San Jose3Washington1WSommaire du Match
30 - 2016-11-10199San Jose3Quebec2WSommaire du Match
32 - 2016-11-12217San Jose4Tampa Bay2WSommaire du Match
35 - 2016-11-15235San Jose3Caroline5LSommaire du Match
37 - 2016-11-17247San Jose2St-Louis5LSommaire du Match
39 - 2016-11-19263San Jose4Nashville7LSommaire du Match
41 - 2016-11-21282Hartford6San Jose1LSommaire du Match
43 - 2016-11-23299Chicago3San Jose4WXXSommaire du Match
45 - 2016-11-25312Islanders5San Jose2LSommaire du Match
46 - 2016-11-26321Anaheim3San Jose1LSommaire du Match
49 - 2016-11-29341Nashville3San Jose4WXSommaire du Match
50 - 2016-11-30342San Jose1LA Kings3LSommaire du Match
52 - 2016-12-02358Montreal6San Jose3LSommaire du Match
57 - 2016-12-07394Ottawa0San Jose2WSommaire du Match
59 - 2016-12-09410San Jose3Anaheim1WSommaire du Match
60 - 2016-12-10416Caroline5San Jose3LSommaire du Match
63 - 2016-12-13431San Jose3Toronto6LSommaire du Match
64 - 2016-12-14441San Jose4Ottawa5LSommaire du Match
66 - 2016-12-16454San Jose3Montreal1WSommaire du Match
68 - 2016-12-18471San Jose2Chicago3LSommaire du Match
70 - 2016-12-20492Calgary4San Jose3LXSommaire du Match
73 - 2016-12-23508Edmonton6San Jose5LSommaire du Match
77 - 2016-12-27526San Jose2Anaheim5LSommaire du Match
80 - 2016-12-30545Philadelphie0San Jose2WSommaire du Match
81 - 2016-12-31551San Jose2LA Kings1WXXSommaire du Match
84 - 2017-01-03571LA Kings4San Jose1LSommaire du Match
86 - 2017-01-05584Minnesota5San Jose1LSommaire du Match
88 - 2017-01-07599Detroit5San Jose1LSommaire du Match
91 - 2017-01-10617San Jose1Edmonton6LSommaire du Match
92 - 2017-01-11623San Jose0Calgary3LSommaire du Match
95 - 2017-01-14651St-Louis8San Jose2LSommaire du Match
97 - 2017-01-16660Winnipeg4San Jose2LSommaire du Match
99 - 2017-01-18676San Jose3LA Kings6LSommaire du Match
100 - 2017-01-19684Tampa Bay5San Jose4LSommaire du Match
102 - 2017-01-21700Colorado3San Jose1LSommaire du Match
104 - 2017-01-23709San Jose5Colorado3WSommaire du Match
105 - 2017-01-24721San Jose2Winnipeg4LSommaire du Match
107 - 2017-01-26737Edmonton6San Jose5LXSommaire du Match
112 - 2017-01-31745Chicago4San Jose3LSommaire du Match
114 - 2017-02-02765San Jose1Vancouver4LSommaire du Match
116 - 2017-02-04783Nashville1San Jose3WSommaire du Match
119 - 2017-02-07790San Jose4Buffalo6LSommaire du Match
121 - 2017-02-09806San Jose2Boston4LSommaire du Match
123 - 2017-02-11817San Jose2Philadelphie3LXSommaire du Match
124 - 2017-02-12828San Jose3Hartford2WSommaire du Match
127 - 2017-02-15846Quebec5San Jose2LSommaire du Match
130 - 2017-02-18866San Jose4Nashville3WSommaire du Match
131 - 2017-02-19874Boston6San Jose2LSommaire du Match
137 - 2017-02-25904San Jose5Vancouver10LSommaire du Match
140 - 2017-02-28924Toronto2San Jose4WSommaire du Match
142 - 2017-03-02945Vancouver3San Jose0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
145 - 2017-03-05965San Jose3Minnesota4LSommaire du Match
146 - 2017-03-06972San Jose1Winnipeg2LSommaire du Match
149 - 2017-03-09990Washington3San Jose2LXXSommaire du Match
151 - 2017-03-111003Las Vegas2San Jose5WSommaire du Match
152 - 2017-03-121015Kansas City3San Jose1LSommaire du Match
154 - 2017-03-141028Buffalo5San Jose1LSommaire du Match
156 - 2017-03-161038St-Louis3San Jose1LSommaire du Match
158 - 2017-03-181062Anaheim4San Jose3LXXSommaire du Match
160 - 2017-03-201073San Jose3Kansas City4LXXSommaire du Match
161 - 2017-03-211082San Jose3Minnesota1WSommaire du Match
164 - 2017-03-241103San Jose5Kansas City6LSommaire du Match
165 - 2017-03-251113San Jose2Las Vegas5LSommaire du Match
168 - 2017-03-281136Rangers2San Jose0LSommaire du Match
170 - 2017-03-301145San Jose1Edmonton6LSommaire du Match
171 - 2017-03-311154San Jose5Calgary4WSommaire du Match
173 - 2017-04-021172San Jose2Vancouver3LXXSommaire du Match
175 - 2017-04-041186Vancouver6San Jose3LSommaire du Match
177 - 2017-04-061196Edmonton6San Jose2LSommaire du Match
179 - 2017-04-081219Calgary2San Jose3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna66005600265050001000
Prix des Billets95653522300
Assistance25863321173410357917446137574
Attendance PCT95.58%92.22%95.33%85.10%91.64%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 19170 - 91.94% 1,391,913$57,068,452$20850100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
44,462,002$ 38,830,336$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
42,374,787$ 229,072$ 41,706,280$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 248,409$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 45,693,043$ 169,259,289$ 169,259,289$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Mike RibeiroAGE:35PO:0OV:69
Brad RichardsAGE:35PO:0OV:67
Andrew ShawAGE:24PO:0OV:64
Matt BeleskeyAGE:27PO:0OV:63
Zemgus GirgensonsAGE:21PO:0OV:63
Eric NystromAGE:32PO:0OV:59
Cody HodgsonAGE:25PO:0OV:58
Kerby RychelAGE:20PO:0OV:56
Barclay GoodrowAGE:22PO:0OV:55
*Miikka SalomakiAGE:22PO:0OV:55
Dave DziurzynskiAGE:25PO:0OV:54
Daniel CarrAGE:23PO:0OV:54
Nick PaulAGE:20PO:0OV:54
Curtis McKenzieAGE:24PO:0OV:53
Patrice CormierAGE:25PO:0OV:49
*Anton RodinAGE:24PO:0OV:45
Jake GuentzelAGE:20PO:0OV:43
*Justin KirklandAGE:19PO:0OV:43
Darren ArchibaldAGE:25PO:0OV:41
*Kevin RoyAGE:22PO:0OV:40
Mike RibeiroAGE:35PO:0OV:69
Brad RichardsAGE:35PO:0OV:67
Nazem KadriAGE:24PO:0OV:67
Andrew ShawAGE:24PO:0OV:64
Kyle BrodziakAGE:31PO:0OV:63
Zemgus GirgensonsAGE:21PO:0OV:63
Scott GomezAGE:35PO:0OV:61
Cody HodgsonAGE:25PO:0OV:58
Anton LanderAGE:24PO:0OV:57
Nick PaulAGE:20PO:0OV:54
*Alex TuchAGE:19PO:0OV:50
Patrice CormierAGE:25PO:0OV:49
*Nicholas BaptisteAGE:20PO:0OV:44
Jake GuentzelAGE:20PO:0OV:43
*Clark BishopAGE:19PO:0OV:39
*Vincent DunnAGE:20PO:0OV:39
Brad RichardsAGE:35PO:0OV:67
Andrew ShawAGE:24PO:0OV:64
Kyle BrodziakAGE:31PO:0OV:63
Zemgus GirgensonsAGE:21PO:0OV:63
Eric NystromAGE:32PO:0OV:59
Cody HodgsonAGE:25PO:0OV:58
Barclay GoodrowAGE:22PO:0OV:55
*Miikka SalomakiAGE:22PO:0OV:55
Daniel CarrAGE:23PO:0OV:54
Curtis McKenzieAGE:24PO:0OV:53
Tyler RandellAGE:24PO:0OV:51
*Alex TuchAGE:19PO:0OV:50
*Justin BaileyAGE:20PO:0OV:49
Casey BaileyAGE:23PO:0OV:47
*Anton RodinAGE:24PO:0OV:45
*Nicholas BaptisteAGE:20PO:0OV:44
*Justin KirklandAGE:19PO:0OV:43

Défense #1Défense #2Gardien
Nicklas GrossmanAGE:30PO:0OV:64
Damon SeversonAGE:21PO:0OV:60
Shayne GostisbehereAGE:22PO:0OV:60
Martin MarincinAGE:23PO:0OV:60
Brett PesceAGE:20PO:0OV:57
Connor CarrickAGE:21PO:0OV:56
Michael KostkaAGE:29PO:0OV:55
Brandon GormleyAGE:23PO:0OV:55
Andrew MacWilliamAGE:25PO:0OV:54
Dylan DeMeloAGE:22PO:0OV:54
*Scott HarringtonAGE:22PO:0OV:54
Mat ClarkAGE:24PO:0OV:53
David MusilAGE:22PO:0OV:53
Joel HanleyAGE:24PO:0OV:53
David WarsofskyAGE:25PO:0OV:53
*Trevor CarrickAGE:21PO:0OV:53
*Casey NelsonAGE:23PO:0OV:52
Joshua MorrisseyAGE:20PO:0OV:52
Conor AllenAGE:25PO:0OV:51
*Ian McCoshenAGE:20PO:0OV:46
*Matt FinnAGE:21PO:0OV:46
Mark CundariAGE:25PO:0OV:45
*Andrew WelinskiAGE:22PO:0OV:44
*Kyle WoodAGE:19PO:0OV:44
*Ludwig BystromAGE:21PO:0OV:44
*Alexis VanierAGE:19PO:0OV:42
*Ryan GravesAGE:20PO:0OV:42
*Aaron HaydonAGE:19PO:0OV:40
Patrick WeyAGE:24PO:0OV:40
Keith KinkaidAGE:26PO:0OV:60
Connor HellebuyckAGE:22PO:0OV:53
Reto BerraAGE:28PO:0OV:53
Garret SparksAGE:22PO:0OV:51
Matt HackettAGE:25PO:0OV:49
*Brandon WhitneyAGE:21PO:0OV:40
Patrik BartosakAGE:22PO:0OV:40

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alexander NylanderSan Jose20167
Austin WagnerSan Jose2015100
Brennan MenellSan Jose2015189
Cam DineenSan Jose201681
Cooper MarodySan Jose2015145
Kale ClagueSan Jose201666
Libor HajekSan Jose201642
Matthew PhillipsSan Jose2016173
Noah GregorSan Jose201696
Otto SomppiSan Jose2016200
Rasmus AsplundSan Jose201630
Reid DukeSan Jose2015184
Riley StillmanSan Jose2016156
Rourke ChartierSan Jose201554
Samuel MontembeaultSan Jose201582
Thomas ChabotSan Jose201522
Tyler WallSan Jose2016181

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017San San Chi San Was San San Atl San Stl
2018San San San San San Stl San Atl San
2019San San San San San San San
2020San San San San San San San
2021San San San San San San San



[2016-09-11 15:34:27] - Casey Nelson was added to San Jose.
[2016-09-16 21:13:17] - Brad Richards was added to San Jose.
[2016-09-16 21:13:21] - Joel Hanley was added to San Jose.
[2016-09-16 21:13:29] - Tyler Randell was added to San Jose.
[2016-10-08 09:48:59] - Scott Gomez was added to San Jose.
[2016-10-08 09:48:59] - TRADE : From Detroit to San Jose : Scott Gomez (61), 400 000 $ (Money).
[2016-10-08 09:48:59] - TRADE : From San Jose to Detroit : 1 $ (Money).
[2017-01-11 20:00:20] - New Record for Team's Most Shots Blocked (20) in 1 Game for San Jose!
[2017-02-04 10:35:17] - TRADE : From Montreal to San Jose : Y:2018-RND:5-Stl.
[2017-02-04 10:35:17] - TRADE : From San Jose to Montreal : John-Michael Liles (65).
[2017-02-18 20:00:23] - New Record for Team's Most Hits (33) in 1 Game for San Jose!
[2017-03-02 00:05:49] - TRADE : From Montreal to San Jose : Cam Dineen (P).
[2017-03-02 00:05:49] - TRADE : From San Jose to Montreal : Edward Purcell (66).



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
201682175101535207324-1174172601313101166-6541102500222106158-52342073725792273656552003654684641442337692105214874346114.06%4258979.06%31303265249.13%1314269648.74%620131247.26%1848122320746501054506
Total Saison Régulière82175101535207324-1174172601313101166-6541102500222106158-52342073725792273656552003654684641442337692105214874346114.06%4258979.06%31303265249.13%1314269648.74%620131247.26%1848122320746501054506