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OTHL - Sharks 

Sharks

GP: 6 | W: 2 | L: 4
GF: 15 | GA: 22 | PP%: 31.25% | PK%: 87.50%
DG: Trevor | Morale : 50 | Moyenne d'Équipe : 70
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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
1Aleksander BarkovX100.006142969180909890959789828567688850810
2Phil KesselXX100.005741898373779982389384516083867950740
3Filip ForsbergX100.008145878675808386297790655768708250740
4Travis KonecnyXX100.007355858664739975457981596561627650710
5Tyler ToffoliX100.006552908472769979417170713568717350700
6Derek RyanXXX100.005940907763669873927570782564647350690
7Joel ArmiaX100.008545918177728571316474727562637450690
8Oskar LindblomX100.007143917771679669336572732555567350660
9Robert Thomas (R)XX100.005941938168657767517764562552526850640
10Andrew PoturalskiX100.007165866265869168806962665955556750640
11Zack MacEwen (R)XX100.007881716681808564806262665944446650630
12Victor RaskXXX100.007143947975637769766157553665656250620
13Brendan LeipsicXX100.007342887165667772507160562559596550620
14Kris LetangX100.008345799073968989258165828176837850780
15Jared SpurgeonX100.007541938855908780257059862574767350740
16Justin BraunX100.008155868277819758255448902573766650730
17T.J. BrodieX100.006141908868839368256651782571726750710
18Joel EdmundsonX100.008566718282788460255248852564656450710
19Brett KulakX100.008456847571759161255551662561616350660
20Gustav ForslingX100.007343808268727159255249702559596150640
Rayé
1Evgeny KuznetsovX100.006743819075799589799379568469727950760
2Ondrej KaseX100.006742978668726580377586587555567750690
MOYENNE D'ÉQUIPE100.00724987817177887347716769466465725070
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
1Darcy Kuemper100.00877271898786758590877062638350800
2Laurent Brossoit100.00786260818471707484784548487450710
Rayé
1Michal Neuvirth100.00575063776158505957563064655650590
MOYENNE D'ÉQUIPE100.0074616582777265737774485859715070
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet87916194724976CAN5332,000,000$


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

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# 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
1Aleksander BarkovSharksC656110006253352315.15%113823.071455110001150057.22%18700001.5900000100
2Kris LetangSharksD6235-4401814132715.38%914824.822139110000600 0.00%000000.6700000010
3Jared SpurgeonSharksD6235-4205141031420.00%1115125.2522421100001310 0.00%000000.6600000100
4Filip ForsbergSharksLW6134000156162206.25%012420.67011011000020035.71%1400000.6400000001
5T.J. BrodieSharksD6033-400183200.00%610417.45000010000300 0.00%000000.5700000000
6Ondrej KaseSharksRW21232000260516.67%03919.6100001000001025.00%400001.5300000010
7Derek RyanSharksC/LW/RW6202-4201161141318.18%28714.6000009000070060.64%9400000.4600000000
8Tyler ToffoliSharksRW6022-4005917180.00%08013.37000210000000066.67%300000.5000000000
9Travis KonecnySharksLW/RW6101-60096186105.56%010717.9200039000030025.00%1200000.1900000000
10Oskar LindblomSharksLW61010001591211.11%1538.9900000000014010.00%400000.3700000001
11Phil KesselSharksLW/RW6011-42043173120.00%011118.66011011000000020.00%1000000.1800000000
12Joel EdmundsonSharksD6011-21001633140.00%58414.16000000000600 0.00%000000.2400000000
13Gustav ForslingSharksD6000-10033000 0.00%08013.370000000001100 0.00%000000.0000000000
14Robert ThomasSharksC/RW6000-5001125140.00%09816.3700000000150036.54%10400000.0000000000
15Brett KulakSharksD6000-12010000 0.00%1172.85000000000200 0.00%000000.0000000000
16Andrew PoturalskiSharksC6000-400331020.00%16110.2700000000000030.00%1000000.0000000000
17Zack MacEwenSharksC/RW6000-12020000 0.00%081.330000000000000.00%100000.0000000000
18Justin BraunSharksD6000-480704380.00%1112320.6500011000001300 0.00%000000.0000000000
19Victor RaskSharksC/LW/RW6000000126020.00%0284.7400000000000040.00%3500000.0000000000
20Joel ArmiaSharksRW6000000814150.00%0549.1500037000070016.67%1200000.0000000000
21Brendan LeipsicSharksLW/RW6000-400546000.00%06410.7500000000000040.00%500000.0000000000
Stats d'équipe Total ou en Moyenne122152439-50320112136182351398.24%48176914.5159142510900021142147.68%49500000.4400000222
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

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# 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
1Laurent BrossoitSharks52300.8703.803000019146010 0.000051000
2Darcy KuemperSharks10100.9143.055900335000 0.000010000
Stats d'équipe Total ou en Moyenne62400.8783.683590022181010 0.000061000


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aleksander BarkovSharksC241995-09-02No213 Lbs6 ft4NoNoNo3Pro & Farm5,900,000$5,900,000$0$No5,900,000$5,900,000$Lien
Andrew PoturalskiSharksC261994-01-14No181 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$0$NoLien
Brendan LeipsicSharksLW/RW261994-05-19No180 Lbs5 ft10NoNoNo2Pro & Farm895,000$895,000$0$No895,000$Lien
Brett KulakSharksD261994-01-05No187 Lbs6 ft2NoNoNo3Pro & Farm1,850,000$1,850,000$0$No1,850,000$1,850,000$Lien
Darcy KuemperSharksG301990-05-04No215 Lbs6 ft5NoNoNo2Pro & Farm1,850,000$1,850,000$0$No1,850,000$Lien
Derek RyanSharksC/LW/RW331986-12-29No170 Lbs5 ft11YesNoNo3Pro & Farm4,050,000$4,050,000$0$No4,050,000$4,050,000$Lien
Evgeny KuznetsovSharksC281992-05-19No204 Lbs6 ft2NoNoNo1Pro & Farm7,800,000$7,800,000$0$NoLien
Filip ForsbergSharksLW251994-08-13No205 Lbs6 ft1NoNoNo4Pro & Farm7,000,000$7,000,000$0$No7,000,000$7,000,000$7,000,000$Lien
Gustav ForslingSharksD231996-06-12No186 Lbs6 ft0NoNoNo2Pro & Farm875,000$875,000$0$No875,000$Lien
Jared SpurgeonSharksD301989-11-28No168 Lbs5 ft1NoNoNo3Pro & Farm5,750,000$5,750,000$0$No5,750,000$5,750,000$Lien
Joel ArmiaSharksRW271993-05-31No205 Lbs6 ft3NoNoNo1Pro & Farm1,900,000$1,900,000$0$NoLien
Joel EdmundsonSharksD261993-06-28No215 Lbs6 ft4NoNoNo2Pro & Farm3,500,000$3,500,000$0$No3,500,000$Lien
Justin BraunSharksD331987-02-10No205 Lbs6 ft2YesNoNo4Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$4,500,000$Lien
Kris LetangSharksD331987-04-24No201 Lbs6 ft0NoNoNo4Pro & Farm8,650,000$8,650,000$0$No8,650,000$8,650,000$8,650,000$Lien
Laurent BrossoitSharksG271993-03-22No204 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$1,250,000$0$NoLien
Michal NeuvirthSharksG321988-03-22No209 Lbs6 ft1NoNoNo2Pro & Farm2,100,000$2,100,000$0$No2,100,000$Lien
Ondrej KaseSharksRW241995-11-08No185 Lbs6 ft0NoNoNo2Pro & Farm706,667$706,667$0$No706,667$Lien
Oskar LindblomSharksLW231996-08-15No191 Lbs6 ft1NoNoNo2Pro & Farm1,137,500$1,137,500$0$No1,137,500$Lien
Phil KesselSharksLW/RW321987-10-02No202 Lbs6 ft0NoNoNo1Pro & Farm7,950,000$7,950,000$0$NoLien
Robert ThomasSharksC/RW201999-07-02Yes188 Lbs6 ft0NoNoNo3Pro & Farm1,177,500$1,177,500$0$No1,177,500$1,177,500$Lien
T.J. BrodieSharksD301990-06-06No182 Lbs6 ft1NoNoNo4Pro & Farm5,600,000$5,600,000$0$No5,600,000$5,600,000$5,600,000$Lien
Travis KonecnySharksLW/RW231997-03-11No175 Lbs5 ft10NoNoNo1Pro & Farm1,106,667$1,106,667$0$NoLien
Tyler ToffoliSharksRW281992-04-23No197 Lbs6 ft0NoNoNo5Pro & Farm4,800,000$4,800,000$0$No4,800,000$4,800,000$4,800,000$4,800,000$Lien
Victor RaskSharksC/LW/RW271993-03-01No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$NoLien
Zack MacEwenSharksC/RW231996-07-08Yes205 Lbs6 ft3NoNoNo2Pro & Farm996,000$996,000$0$No996,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2527.16195 Lbs6 ft12.363,333,773$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
83,344,334$61,337,667$49,277,500$30,550,000$4,800,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ForsbergAleksander BarkovPhil Kessel40122
2Travis KonecnyDerek RyanTyler Toffoli30122
3Oskar LindblomRobert ThomasJoel Armia20122
4Brendan LeipsicAndrew PoturalskiZack MacEwen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJared Spurgeon40122
2Justin BraunT.J. Brodie30122
3Joel EdmundsonBrett Kulak20122
4Gustav ForslingKris Letang10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ForsbergAleksander BarkovPhil Kessel60122
2Travis KonecnyDerek RyanTyler Toffoli40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJared Spurgeon60122
2Justin BraunT.J. Brodie40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Aleksander BarkovFilip Forsberg60122
2Phil KesselTravis Konecny40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJared Spurgeon60122
2Justin BraunT.J. Brodie40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Aleksander Barkov60122Kris LetangJared Spurgeon60122
2Filip Forsberg40122Justin BraunT.J. Brodie40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Aleksander BarkovFilip Forsberg60122
2Phil KesselTravis Konecny40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangJared Spurgeon60122
2Justin BraunT.J. Brodie40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ForsbergAleksander BarkovPhil KesselKris LetangJared Spurgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ForsbergAleksander BarkovPhil KesselKris LetangJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Rask, Joel Armia, Oskar LindblomVictor Rask, Joel ArmiaOskar Lindblom
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Edmundson, Brett Kulak, Gustav ForslingJoel EdmundsonBrett Kulak, Gustav Forsling
Tirs de Pénalité
Aleksander Barkov, Filip Forsberg, Phil Kessel, Travis Konecny, Tyler Toffoli
Gardien
#1 : Darcy Kuemper, #2 : Laurent Brossoit


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
1Predators624000001522-731200000710-331200000812-440.3331524390094201825176550181483211216531.25%16287.50%010222245.95%9319248.44%418150.62%147103137427536
Total624000001522-731200000710-331200000812-440.3331524390094201825176550181483211216531.25%16287.50%010222245.95%9319248.44%418150.62%147103137427536
_Since Last GM Reset624000001522-731200000710-331200000812-440.3331524390094201825176550181483211216531.25%16287.50%010222245.95%9319248.44%418150.62%147103137427536
_Vs Conference624000001522-731200000710-331200000812-440.3331524390094201825176550181483211216531.25%16287.50%010222245.95%9319248.44%418150.62%147103137427536

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L3152439182181483211200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400001522
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000710
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000812
Derniers 10 Matchs
WLOTWOTL SOWSOL
240000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
16531.25%16287.50%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
51765509420
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
10222245.95%9319248.44%418150.62%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
147103137427536


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
2 - 2019-10-055Sharks3Predators5LSommaire du Match
4 - 2019-10-0713Sharks3Predators2WSommaire du Match
6 - 2019-10-0921Predators2Sharks3WSommaire du Match
8 - 2019-10-1129Predators5Sharks2LSommaire du Match
10 - 2019-10-1337Sharks2Predators5LSommaire du Match
12 - 2019-10-1545Predators3Sharks2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000400030001000
Prix des Billets1691278350230
Assistance17,80114,78411,9599,0002,997
Attendance PCT98.89%98.56%99.66%100.00%99.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 18847 - 99.19% 2,339,281$7,017,844$19000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 83,344,334$ 83,344,334$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 25 0

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 96,909,238$ 96,909,238$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Filip ForsbergAGE:25PO:82OV:74
Phil KesselAGE:32PO:79OV:74
Travis KonecnyAGE:23PO:76OV:71
Derek RyanAGE:33PO:73OV:69
Oskar LindblomAGE:23PO:73OV:66
Brendan LeipsicAGE:26PO:65OV:62
Victor RaskAGE:27PO:62OV:62
Joseph LaBateAGE:27PO:53OV:55
Aleksander BarkovAGE:24PO:88OV:81
Evgeny KuznetsovAGE:28PO:79OV:76
Derek RyanAGE:33PO:73OV:69
*Robert ThomasAGE:20PO:68OV:64
Andrew PoturalskiAGE:26PO:67OV:64
*Zack MacEwenAGE:23PO:66OV:63
Victor RaskAGE:27PO:62OV:62
Joseph LaBateAGE:27PO:53OV:55
Phil KesselAGE:32PO:79OV:74
Travis KonecnyAGE:23PO:76OV:71
Tyler ToffoliAGE:28PO:73OV:70
Ondrej KaseAGE:24PO:77OV:69
Joel ArmiaAGE:27PO:74OV:69
Derek RyanAGE:33PO:73OV:69
*Robert ThomasAGE:20PO:68OV:64
*Zack MacEwenAGE:23PO:66OV:63
Brendan LeipsicAGE:26PO:65OV:62
Victor RaskAGE:27PO:62OV:62

Défense #1Défense #2Gardien
Kris LetangAGE:33PO:78OV:78
Jared SpurgeonAGE:30PO:73OV:74
Justin BraunAGE:33PO:66OV:73
T.J. BrodieAGE:30PO:67OV:71
Joel EdmundsonAGE:26PO:64OV:71
Brett KulakAGE:26PO:63OV:66
Gustav ForslingAGE:23PO:61OV:64
Robbie RussoAGE:27PO:58OV:62
Dan RenoufAGE:26PO:54OV:61
*Jimmy SchuldtAGE:25PO:55OV:54
Darcy KuemperAGE:30PO:83OV:80
Laurent BrossoitAGE:27PO:74OV:71
Michal NeuvirthAGE:32PO:56OV:59

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
Adam HelewkaSharks2015143
Andrei SvetlakovSharks2017146
Arvid HenriksonSharks2016205
Austin OsmanskiSharks2016207
Austin WongSharks2018193
Blake McLaughlinSharks201869
Bryce MisleySharks2017141
Colby WilliamsSharks2015196
Connor HurleySharks201343
David FarranceSharks201780
Edgars KuldaSharks2014136
Eric ComrieSharks201348
Eric CornelSharks201444
Filip BerglundSharks2016120
Ivan ChukarovSharks2015200
Jack GloverSharks201457
Joey LaLeggiaSharks2012120
John LeonardSharks2018181
Karlis CuksteSharks2015166
Kevin MandoleseSharks2018162
Kristian VesalainenSharks201724
Luc SnuggerudSharks2014122
Maksim ZhukovSharks201790
Mario FerraroSharks201760
Mike RobinsonSharks2015129
Mitchell MattsonSharks2016118
Oliver WahlstromSharks20188
Patrick SheaSharks2015203
Patrik WesterholmSharks2011170
Sam Dove-McFallsSharks2015142
Stuart SkinnerSharks201787
Tarmo ReunanenSharks2016110
Timothy GettingerSharks2016137

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020SJS CHI SJS STL SJS SJS SJS
2021SJS SJS SJS STL SJS SJS SJS
2022SJS SJS SJS SJS SJS SJS SJS
2023SJS SJS SJS SJS SJS SJS SJS
2024SJS SJS SJS SJS SJS SJS SJS



[2020-05-02 6:56:43 PM] - Sharks was eliminated at round 1 of year 2019.
[2020-04-28 7:06:59 PM] - Barracudas was eliminated at round 1 of year 2019.
[2020-01-28 4:02:12 PM] - New Record for Team's Most Shots Blocked (20) in 1 Game for Sharks!
[2019-10-16 4:40:04 PM] - Team Name Change : Barracuda changed name to Barracudas
[2019-10-16 4:39:55 PM] - Team Name Change : Barracuda changed name to Barracuda
[2019-10-16 4:35:16 PM] - Team Name Change : San Jose Sharks changed name to Sharks
[2019-10-05 2:18:13 PM] - Darren Archibald was released.
[2019-10-05 2:18:13 PM] - Carter Bancks was released.



[2020-05-16 7:46:01 PM] Ondrej Kase from Sharks is back from Broken Right Thumb Injury.
[2020-05-13 7:09:23 PM] Evgeny Kuznetsov from Sharks is back from Left Hip Injury.
[2020-05-01 6:28:15 PM] Auto Lines Function has been run for Sharks.
[2020-04-30 4:56:00 PM] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2020-04-28 7:06:59 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-26 6:00:29 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-26 5:59:59 PM] Auto Lines Partial Function has been run for Sharks.
[2020-04-26 5:59:58 PM] Sharks lines errors : Normal line # 1 RW is empty. PP line 2 RW is empty.
[2020-04-24 4:28:29 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-24 4:28:28 PM] Game 13 - Ondrej Kase from Sharks is injured (Broken Right Thumb) and is out for 2 months.
[2020-04-22 4:38:13 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-20 4:07:38 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-18 7:20:58 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-18 7:19:59 PM] Auto Lines Partial Function has been run for Sharks.
[2020-04-18 7:19:59 PM] Sharks lines errors : Starting Goalie is empty.
[2020-04-18 7:19:59 PM] Auto Roster Partial Function has been run for Sharks.
[2020-04-18 7:19:59 PM] Michal Neuvirth of Sharks was sent to pro.
[2020-04-18 7:19:59 PM] Sharks roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2020-04-17 3:30:14 PM] Darcy Kuemper from Sharks suspended for 10 game(s)
[2020-04-17 3:28:22 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2020-04-17 3:28:22 PM] Last 7 Days Pro Star : 1 - Aleksander Barkov of Sharks (7-4-11) / 2 - Alex Iafallo of Capitals (3-4-7) / 3 - Mikko Rantanen of Canucks (3-4-7)
[2020-04-15 6:38:35 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.



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
2019823328041882442212341171004154128109194116180003411611249924441766126926971232744924873900107252373655715943056019.67%2264679.65%21531298751.26%1383278249.71%663128251.72%2049144519105921055534
Total Saison Régulière823328041882442212341171004154128109194116180003411611249924441766126926971232744924873900107252373655715943056019.67%2264679.65%21531298751.26%1383278249.71%663128251.72%2049144519105921055534
2019624000001522-731200000710-331200000812-441524390094201825176550181483211216531.25%16287.50%010222245.95%9319248.44%418150.62%147103137427536
Total Séries624000001522-731200000710-331200000812-441524390094201825176550181483211216531.25%16287.50%010222245.95%9319248.44%418150.62%147103137427536