Sharks

GP: 6 | W: 3 | L: 2 | OTL: 1 | P: 7
GF: 16 | GA: 16 | PP%: 20.00% | PK%: 80.00%
DG: Jonathan Limoges | Morale : 50 | Moyenne d'Équipe : 75
Prochain matchs #82 vs Golden Knights
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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
1Johnny GaudreauX95.005238868962869591548983528871745951840
2David PastrnakX99.006839828373847982538590568865678152830
3Dustin BrownXX100.008638857376868572537776717485784752810
4Brandon SaadXX99.006136917779839376577375747073706352790
5Carl SoderbergX100.007838857385839571807374867284763852780
6Jake VirtanenX100.008442737581778372536471667265648652740
7Jason PominvilleX100.005435946970738667566870566987803252740
8Carl HagelinXX100.007441768069777267537062796879733852730
9Michael Dal ColleX100.006236906884776366596567636465658752710
10Vinni LettieriX100.006938846271786761706463596167645252690
11Riley NashX100.007042885875699157736056655778716652650
12Matt NiskanenX98.008645796878889366307367845582744852780
13Niklas HjalmarssonX99.006340785983859558306852914680723752750
14Robert BortuzzoX100.008249696290797261307056854978705152750
15Shea TheodoreX100.005537877479869273307772676266647852710
16Mikhail SergachevX100.007939837086838869307864635461638652700
17Dan HamhuisX100.006140795778817356306451724687773852690
18Nathan BeaulieuX100.007961696580826163307261665273677152690
Rayé
1Marcus FolignoXX100.008967746089719560546259786075685144690
2Travis DermottX100.008138846575837764307362665265637744690
MOYENNE D'ÉQUIPE99.50724282697881836848716770637470595174
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
1Marc-Andre Fleury98.00949593769392949392949385894752880
2James Reimer100.00848583848382848382848379854852810
Rayé
1Joonas Korpisalo100.00807876807978807978807969736544760
MOYENNE D'ÉQUIPE99.3386868480858486858486857882534982
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy73717270827769CAN5332,000,000$


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
1Johnny GaudreauSharksLW6369100611377118.11%416227.090118210002230036.36%55121001.1102000012
2David PastrnakSharksRW6527260892561320.00%513322.310114220001202160.00%1041001.0502000201
3Carl SoderbergSharksC60662201386220.00%311318.98000022000000052.43%18522001.0500000000
4Carl HagelinSharksC/LW6134-220812174135.88%211018.35123218000120043.02%8633000.7300000010
5Brandon SaadSharksLW/RW6213-200510269217.69%912420.782134180002130066.67%622000.4800000100
6Dustin BrownSharksLW/RW6123-2401472211154.55%211519.17123518000080027.27%1131000.5212000000
7Matt NiskanenSharksD61234120131772114.29%1417228.81112324000017000.00%028000.3500000000
8Jason PominvilleSharksRW6202120542061710.00%17512.6500000000000066.67%330000.5300000000
9Michael Dal ColleSharksLW602210016106110.00%68113.5400000000080033.33%630000.4900000000
10Niklas HjalmarssonSharksD60224406117620.00%1615225.47000024000021000.00%006000.2600000000
11Dan HamhuisSharksD6000000100000.00%0294.870000000002000.00%001000.0000000000
12Jake VirtanenSharksRW6000-100145210.00%1345.6700000000000050.00%210000.0000000000
13Mikhail SergachevSharksD6000-220353110.00%66711.260000000000000.00%000000.0000000000
14Nathan BeaulieuSharksD6000-200363020.00%27512.5100000000011000.00%012000.0000000000
15Riley NashSharksC6000-100321110.00%0335.5100000000000050.00%2400000.0000000000
16Robert BortuzzoSharksD6000-21401095130.00%111519.17000015000010000.00%003000.0000000000
17Shea TheodoreSharksD6000-2202108300.00%712020.04000115000113000.00%062000.0000000000
18Vinni LettieriSharksC6000100945240.00%57011.7200000000000052.63%3812000.0000000000
Stats d'équipe Total ou en Moyenne1081526410500111135207691187.25%84178716.5558132720300071532147.89%4264334000.4616000323
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
1Marc-Andre FleurySharks63210.9212.43370001518979000.833660030
Stats d'équipe Total ou en Moyenne63210.9212.43370001518979000.833660030


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brandon SaadSharksLW/RW241992-10-27No206 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm6,000,000$6,000,000$5,523,810$NoLien
Carl HagelinSharksC/LW291988-08-23No186 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,800,000$1,800,000$1,657,143$NoLien
Carl SoderbergSharksC311985-10-12No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm4,750,000$4,750,000$4,373,016$NoLien
Dan HamhuisSharksD341982-12-13No204 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,000,000$2,000,000$1,841,270$NoLien
David PastrnakSharksRW211996-05-25No194 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm6,666,666$6,666,666$6,137,566$NoLien
Dustin BrownSharksLW/RW321984-11-04No210 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm5,875,000$5,875,000$5,408,730$NoLien
Jake VirtanenSharksRW211996-08-17No226 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,250,000$1,250,000$1,150,794$NoLien
James ReimerSharksG291988-03-15No220 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,400,000$3,400,000$3,130,159$NoLien
Jason PominvilleSharksRW341982-11-30No180 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,700,000$1,700,000$1,565,079$NoLien
Johnny Gaudreau (Sur la Masse Salariale)SharksLW241993-08-13No165 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm6,750,000$6,750,000$6,214,286$NoLien
Joonas KorpisaloSharksG231994-04-28No182 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm1,150,000$1,150,000$1,058,730$NoLien
Marc-Andre FleurySharksG321984-11-28No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm7,000,000$7,000,000$6,444,444$NoLien
Marcus FolignoSharksLW/RW261991-08-10No228 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm2,875,000$2,875,000$2,646,825$NoLien
Matt NiskanenSharksD301986-12-06No203 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm5,750,000$5,750,000$5,293,651$NoLien
Michael Dal ColleSharksLW211996-06-20No204 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Mikhail SergachevSharksD191998-06-25No215 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm894,166$894,166$823,200$NoLien
Nathan BeaulieuSharksD241992-12-05No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm3,600,000$3,600,000$3,314,286$NoLien
Niklas HjalmarssonSharksD301987-06-06No197 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,400,000$2,400,000$2,209,524$NoLien
Riley NashSharksC281989-05-09No190 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,750,000$2,750,000$2,531,746$NoLien
Robert BortuzzoSharksD281989-03-18No216 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm900,000$900,000$828,571$NoLien
Shea TheodoreSharksD221995-08-03No195 Lbs6 ft2NoNoNo6Contrat d'EntréePro & Farm5,200,000$5,200,000$4,787,302$NoLien
Travis DermottSharksD201996-12-22No204 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm863,333$863,333$794,815$NoLien
Vinni LettieriSharksC221995-02-06No191 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2326.26200 Lbs6 ft11.873,264,094$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
75,074,165$53,016,666$31,491,666$11,866,666$5,200,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauCarl SoderbergDavid Pastrnak40122
2Dustin BrownCarl HagelinBrandon Saad30122
3Michael Dal ColleVinni LettieriJason Pominville20122
4Johnny GaudreauRiley NashJake Virtanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenNiklas Hjalmarsson40122
2Robert BortuzzoShea Theodore30122
3Mikhail SergachevNathan Beaulieu20122
4Dan HamhuisMatt Niskanen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauCarl SoderbergDavid Pastrnak60122
2Dustin BrownCarl HagelinBrandon Saad40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenNiklas Hjalmarsson60122
2Robert BortuzzoShea Theodore40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Johnny GaudreauDavid Pastrnak60122
2Dustin BrownBrandon Saad40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenNiklas Hjalmarsson60122
2Robert BortuzzoShea Theodore40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Johnny Gaudreau60122Matt NiskanenNiklas Hjalmarsson60122
2David Pastrnak40122Robert BortuzzoShea Theodore40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Johnny GaudreauDavid Pastrnak60122
2Dustin BrownBrandon Saad40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenNiklas Hjalmarsson60122
2Robert BortuzzoShea Theodore40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauCarl SoderbergDavid PastrnakMatt NiskanenNiklas Hjalmarsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauCarl SoderbergDavid PastrnakMatt NiskanenNiklas Hjalmarsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jason Pominville, Jake Virtanen, Michael Dal ColleJason Pominville, Jake VirtanenMichael Dal Colle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Sergachev, Nathan Beaulieu, Dan HamhuisMikhail SergachevNathan Beaulieu, Dan Hamhuis
Tirs de Pénalité
Johnny Gaudreau, David Pastrnak, Dustin Brown, Brandon Saad, Carl Soderberg
Gardien
#1 : Marc-Andre Fleury, #2 : James Reimer


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
1Flames21100000660110000004221010000024-220.50061016001320631722240683024367114.29%12375.00%08016349.08%7517243.60%498656.98%382046203416
2Golden Knights10000010431100000104310000000000021.000461000030136101114430168246233.33%4175.00%08016349.08%7517243.60%498656.98%221122101910
3Jets1010000014-3000000000001010000014-300.000123000010369720031121017300.00%5180.00%08016349.08%7517243.60%498656.98%2012239167
4Kings1000000112-11000000112-10000000000010.500123001000311410732911420400.00%20100.00%08016349.08%7517243.60%498656.98%211022102110
5Oilers11000000413110000004130000000000021.000461000103041131315031154145240.00%20100.00%08016349.08%7517243.60%498656.98%2314198179
Total62200011161604200001113852020000038-570.5831626420036612076363807189845011125520.00%25580.00%08016349.08%7517243.60%498656.98%126711345810853
_Since Last GM Reset62200011161604200001113852020000038-570.5831626420036612076363807189845011125520.00%25580.00%08016349.08%7517243.60%498656.98%126711345810853
_Vs Conference62200011161604200001113852020000038-570.5831626420036612076363807189845011125520.00%25580.00%08016349.08%7517243.60%498656.98%126711345810853
_Vs Division52100011151234200001113851010000024-270.700152439003651171545660715872409422522.73%20480.00%08016349.08%7517243.60%498656.98%10658110499246

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
67W1162642207189845011100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62200111616
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4200011138
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000038
Derniers 10 Matchs
WLOTWOTL SOWSOL
220011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25520.00%25580.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
63638073661
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
8016349.08%7517243.60%498656.98%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
126711345810853


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 - 2019-10-043Kings2Sharks1LXXSommaire du Match
6 - 2019-10-0928Oilers1Sharks4WSommaire du Match
8 - 2019-10-1138Sharks1Jets4LSommaire du Match
11 - 2019-10-1452Golden Knights3Sharks4WXXSommaire du Match
12 - 2019-10-1561Sharks2Flames4LSommaire du Match
15 - 2019-10-1875Flames2Sharks4WSommaire du Match
16 - 2019-10-1982Sharks-Golden Knights-
19 - 2019-10-2298Ducks-Sharks-
21 - 2019-10-24103Sharks-Oilers-
23 - 2019-10-26113Sharks-Ducks-
25 - 2019-10-28124Blues-Sharks-
26 - 2019-10-29128Sharks-Kings-
29 - 2019-11-01150Sharks-Blues-
30 - 2019-11-02159Golden Knights-Sharks-
33 - 2019-11-05176Canadiens-Sharks-
36 - 2019-11-08188Sharks-Avalanche-
37 - 2019-11-09196Sharks-Predateurs-
40 - 2019-11-12207Stars-Sharks-
42 - 2019-11-14215Sharks-Flyers-
44 - 2019-11-16224Sharks-Bruins-
46 - 2019-11-18234Maple Leafs-Sharks-
49 - 2019-11-21251Sharks-Panthers-
51 - 2019-11-23261Flyers-Sharks-
53 - 2019-11-25268Sharks-Ducks-
55 - 2019-11-27281Panthers-Sharks-
57 - 2019-11-29294Sharks-Penguins-
59 - 2019-12-01305Sharks-Devils-
60 - 2019-12-02311Senateurs-Sharks-
65 - 2019-12-07332Bruins-Sharks-
67 - 2019-12-09345Sharks-Avalanche-
70 - 2019-12-12356Predateurs-Sharks-
72 - 2019-12-14371Sharks-Lightning-
74 - 2019-12-16379Golden Knights-Sharks-
77 - 2019-12-19395Sharks-Blackhawks-
78 - 2019-12-20403Lightning-Sharks-
81 - 2019-12-23420Sharks-Capitals-
83 - 2019-12-25427Penguins-Sharks-
85 - 2019-12-27438Sharks-Blackhawks-
87 - 2019-12-29450Ducks-Sharks-
90 - 2020-01-01468Oilers-Sharks-
93 - 2020-01-04487Blues-Sharks-
95 - 2020-01-06499Sharks-Blue Jackets-
97 - 2020-01-08511Sharks-Predateurs-
99 - 2020-01-10519Ducks-Sharks-
102 - 2020-01-13539Devils-Sharks-
103 - 2020-01-14546Sharks-Islanders-
106 - 2020-01-17559Sharks-Flames-
107 - 2020-01-18566Kings-Sharks-
112 - 2020-01-23586Oilers-Sharks-
114 - 2020-01-25600Sharks-Canadiens-
116 - 2020-01-27609Islanders-Sharks-
118 - 2020-01-29621Sharks-Islanders-
120 - 2020-01-31634Stars-Sharks-
122 - 2020-02-02643Sharks-Maple Leafs-
124 - 2020-02-04656Sharks-Oilers-
125 - 2020-02-05663Blue Jackets-Sharks-
129 - 2020-02-09681Sharks-Oilers-
130 - 2020-02-10689Canadiens-Sharks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13701Sharks-Jets-
135 - 2020-02-15707Sharks-Blues-
136 - 2020-02-16717Canadiens-Sharks-
140 - 2020-02-20737Kings-Sharks-
142 - 2020-02-22748Sharks-Jets-
143 - 2020-02-23756Sharks-Ducks-
145 - 2020-02-25765Flames-Sharks-
148 - 2020-02-28782Jets-Sharks-
151 - 2020-03-02798Predateurs-Sharks-
154 - 2020-03-05811Sharks-Stars-
156 - 2020-03-07823Sharks-Senateurs-
158 - 2020-03-09833Sharks-Flames-
159 - 2020-03-10837Jets-Sharks-
162 - 2020-03-13854Capitals-Sharks-
164 - 2020-03-15863Sharks-Stars-
165 - 2020-03-16867Sharks-Golden Knights-
168 - 2020-03-19886Flames-Sharks-
171 - 2020-03-22901Sharks-Kings-
173 - 2020-03-24910Avalanche-Sharks-
175 - 2020-03-26927Avalanche-Sharks-
177 - 2020-03-28934Sharks-Kings-
182 - 2020-04-02952Blackhawks-Sharks-
184 - 2020-04-04962Sharks-Golden Knights-
187 - 2020-04-07978Blackhawks-Sharks-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance22,44518,5587,76015,0553,741
Attendance PCT93.52%92.79%97.00%94.09%93.53%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 16890 - 93.83% 1,616,413$6,465,651$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
6,117,000$ 75,074,165$ 75,074,165$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
75,074,165$ 5,958,270$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
59,807,272$ 174 407,800$ 70,957,200$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
72,013,200$ 75,074,165$ 8,521,860$ -3,684,068$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:24PO:59OV:84
Dustin BrownAGE:32PO:47OV:81
Brandon SaadAGE:24PO:63OV:79
Carl HagelinAGE:29PO:38OV:73
Michael Dal ColleAGE:21PO:87OV:71
Marcus FolignoAGE:26PO:51OV:69
Carl SoderbergAGE:31PO:38OV:78
Carl HagelinAGE:29PO:38OV:73
Vinni LettieriAGE:22PO:52OV:69
Robby FabbriAGE:21PO:81OV:68
Martin NecasAGE:18PO:87OV:66
Riley NashAGE:28PO:66OV:65
David PastrnakAGE:21PO:81OV:83
Dustin BrownAGE:32PO:47OV:81
Brandon SaadAGE:24PO:63OV:79
Jake VirtanenAGE:21PO:86OV:74
Jason PominvilleAGE:34PO:32OV:74
Marcus FolignoAGE:26PO:51OV:69

Défense #1Défense #2Gardien
Matt NiskanenAGE:30PO:48OV:78
Robert BortuzzoAGE:28PO:51OV:75
Niklas HjalmarssonAGE:30PO:37OV:75
Shea TheodoreAGE:22PO:78OV:71
Mikhail SergachevAGE:19PO:86OV:70
Travis DermottAGE:20PO:77OV:69
Nathan BeaulieuAGE:24PO:71OV:69
Dan HamhuisAGE:34PO:38OV:69
Griffin ReinhartAGE:23PO:80OV:66
Haydn FleuryAGE:21PO:86OV:65
Chris WidemanAGE:27PO:53OV:65
Duncan SiemensAGE:24PO:77OV:64
Joe HickettsAGE:21PO:53OV:64
Marc-Andre FleuryAGE:32PO:47OV:88
James ReimerAGE:29PO:48OV:81
Joonas KorpisaloAGE:23PO:65OV:76
Scott WedgewoodAGE:25PO:46OV:75

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
Benoit PouliotSharks
Cayden PrimeauSharks2018119
Danick MartelSharks
Dylan CozensSharks37
Gabriel VilardiSharks201711
Jamieson ReesSharks351
Jannik HansenSharks
Matt StajanSharks
Peyton KrebsSharks319
Vasili PodkolzinSharks39

Choix au Repêchage

Année R1R2R3R4R5
4ANA SJ. BOS SJ. SJ.
5SJ. SJ. ANA SJ. SJ.
6SJ. SJ. SJ. SJ. SJ.
7SJ. SJ. SJ. SJ. SJ.
8SJ. SJ. SJ. SJ. SJ.



[2019-10-03 19:47:08] - TRADE : From Sharks to Bruins : Mikael Backlund (75), Jay Bouwmeester (75), Drake Caggiula (74), Antoine Morand (P), Y:4-RND:3-SJ..
[2019-10-03 19:47:08] - TRADE : From Bruins to Sharks : Dustin Brown (81), Matt Niskanen (78), Gabriel Vilardi (P), Y:4-RND:1-BOS.
[2019-09-30 12:48:06] - Barracuda hired Darryl Sutter for 500 000 $ for 2 year(s).
[2019-09-22 21:28:15] - Robert Bortuzzo was added to Sharks.
[2019-09-22 21:28:07] - Jason Pominville was added to Sharks.
[2019-09-20 21:39:00] - Niklas Hjalmarsson was added to Sharks.
[2019-09-20 21:38:51] - Jay Bouwmeester was added to Sharks.
[2019-09-20 21:38:29] - Carl Hagelin was added to Sharks.
[2019-09-13 21:52:49] - Michael Frolik was released.
[2019-09-13 21:52:49] - Sharks paid 0 $ to release Michael Frolik.
[2019-09-13 21:51:43] - Kyle Okposo was released.
[2019-09-13 21:51:43] - Sharks paid 0 $ to release Kyle Okposo.
[2019-07-13 17:52:55] - TRADE : From Sharks to Ducks : Oscar Klefbom (74), Scott Mayfield (76), Y:4-RND:4-SJ., Y:5-RND:5-SJ..
[2019-07-13 17:52:55] - TRADE : From Ducks to Sharks : Mikael Backlund (75), Riley Nash (65), Dan Hamhuis (69), James Reimer (81), Marcus Foligno (69), Y:4-RND:1-ANA, Y:5-RND:3-ANA.
[2019-07-03 23:40:38] - Sharks drafts Jamieson Rees as the #51 overall pick in the Entry Draft of year 3.
[2019-07-01 16:04:18] - Sharks drafts Peyton Krebs as the #19 overall pick in the Entry Draft of year 3.
[2019-07-01 15:15:35] - Sharks drafts Vasili Podkolzin as the #9 overall pick in the Entry Draft of year 3.
[2019-07-01 14:35:49] - Sharks drafts Dylan Cozens as the #7 overall pick in the Entry Draft of year 3.
[2019-05-26 21:53:43] - Doug Weight contract with Barracuda has ended.
[2019-04-03 21:21:12] - Barracuda didn't make playoff for year 2.
[2019-04-03 21:21:12] - Sharks didn't make playoff for year 2.
[2019-02-26 00:44:53] - New Record for Team's Most Points (21) in 1 Game for Sharks!
[2019-02-26 00:44:53] - New Record for Team's Most Goals (8) in 1 Game for Sharks!
[2019-02-21 20:00:11] - New Record for Team's Most Points (20) in 1 Game for Sharks!
[2019-02-21 20:00:11] - New Record for Team's Most Assists (13) in 1 Game for Sharks!
[2019-02-12 10:43:27] - TRADE : From Sharks to Flyers : Jakub Voracek (86).
[2019-02-12 10:43:27] - TRADE : From Flyers to Sharks : Kyle Okposo (77), Antoine Morand (P), Cayden Primeau (P), Y:3-RND:1-ANA, Y:3-RND:3-DAL.
[2019-01-16 21:56:35] - New Record for Team's Most Shots Blocked (22) in 1 Game for Sharks!
[2019-01-06 11:52:15] - TRADE : From Sharks to Senateurs : Mike Green (74), Tyler Seguin (88).



[2019-10-16 22:04:50] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-16 21:32:08] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-15 21:27:52] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-14 21:49:22] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-13 20:51:48] Both Sharks and Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-10 20:42:15] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-09 21:18:36] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-08 20:54:45] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-07 21:48:40] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-06 11:05:39] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 21:22:03] Both Sharks and Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:17] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:11] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:10] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:08] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:07] Auto Lines Function has been run for Sharks.
[2019-10-04 20:56:07] Auto Roster Partial Function has been run for Sharks.



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
362200011161604200001113852020000038-571626420036612076363807189845011125520.00%25580.00%08016349.08%7517243.60%498656.98%126711345810853
Total Saison Régulière62200011161604200001113852020000038-571626420036612076363807189845011125520.00%25580.00%08016349.08%7517243.60%498656.98%126711345810853