Sharks

GP: 29 | W: 16 | L: 7 | OTL: 6 | P: 38
GF: 84 | GA: 72 | PP%: 21.15% | PK%: 82.65%
DG: Jonathan Limoges | Morale : 51 | Moyenne d'Équipe : 74
Prochain matchs #379 vs Bruins
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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
1Tyler SeguinX100.006643869174949891957786728473678659880
2Jakub VoracekX100.005944849080929892669172596880657059860
3Johnny GaudreauX100.005742889552929985548976577162655959840
4David PastrnakX100.006442839168889686548184607560578159830
5Michael FrolikX100.006442848072878770715762887079656959750
6Carl SoderbergX100.006542837881889476756168807166604359740
7Robby FabbriX100.005633878580675079657372757050508049720
8Matt StajanX100.006842797172768964815055706790703662700
9Benoit PouliotX100.006742797378819467614865697375635559690
10Jannik HansenX100.006541817173806671716053746075633062690
11Drake CaggiulaX100.008541807963828272545065647055554359670
12Danick MartelX100.004844686053739261515765606550504359650
13Mike GreenX100.006943867975909075307060696981744759740
14Oscar KlefbomX100.006441917882929277306057816760578059740
15Scott MayfieldX100.007443796888817271305453766553527359700
16Shea TheodoreX100.005941897474738479306758746754528059700
17Haydn FleuryX100.007041856984788669305050746252518759690
18Mikhail SergachevX100.006943818182779678307060596953548859690
Rayé
1Nathan BeaulieuX100.006442827475797972305052706461567921680
MOYENNE D'ÉQUIPE100.00654283787483877653646470696559655773
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 Fleury100.00868593749191939292848299934958860
2Joonas Korpisalo100.00767495767880787878747455666659740
Rayé
MOYENNE D'ÉQUIPE100.0081809475858686858579787780585980
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy57655869764966CAN5242,000,000$


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'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
1Jakub VoracekSharksRW2915193403604531111386613.51%1866422.91291110950000790253.85%522813101.0207000153
2Johnny GaudreauSharksLW2915163112003018115346413.04%1160720.96851321951014294130.91%552910011.0212000230
3Tyler SeguinSharksC2982331-1200456811432637.02%2168423.62491319940001892355.24%1021174100.9117000203
4David PastrnakSharksRW291011212100393010746709.35%948516.721459680000323041.94%313110000.8716000110
5Carl SoderbergSharksC298816-18036508722529.20%1048616.783149680000181046.15%377209000.6600000211
6Robby FabbriSharksC29591442014208433415.95%832111.0800012011002039.24%158155000.8700000121
7Mike GreenSharksD2901212112058415326210.00%5582228.350449103011296000.00%01226000.2900000000
8Oscar KlefbomSharksD292101214039525019174.00%4481328.042245103000099000.00%0625000.3000000012
9Shea TheodoreSharksD294610900103333101412.12%3557719.90213362112165000.00%0723000.3500000011
10Drake CaggiulaSharksLW2924641204718407255.00%332611.2500000000000028.57%764000.3700000000
11Matt StajanSharksC29336620253023101313.04%72689.25000000111421051.92%10457000.4500000200
12Michael FrolikSharksRW2942644024214613328.70%1133011.4001113000000021.43%14127000.3611000011
13Benoit PouliotSharksLW29224112049312820227.14%1050317.370221681012350136.84%1999000.1601000001
14Mikhail SergachevSharksD2904418022112913180.00%1135312.190000100001000.00%024000.2300000000
15Danick MartelSharksLW29213430099263117.69%42307.950000000007100.00%430000.2600000000
16Jannik HansenSharksRW29213460189408255.00%32077.170000200000000.00%465000.2900000010
17Scott MayfieldSharksD290339403232191070.00%2857719.92000062000065000.00%0419000.1000000000
18Haydn FleurySharksD2901106016272210110.00%2037613.000000100009000.00%0311000.0500000000
Stats d'équipe Total ou en Moyenne5228213521749196055853110273545727.98%308863816.55223860888353471167314750.05%1846215191210.50424000111613
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 FleurySharks2916760.9302.2717420166944422100.65223290632
2Joonas KorpisaloSharks10000.8891.823300193000.0000029000
Stats d'équipe Total ou en Moyenne3016760.9302.2717750167953425100.652232929632


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 Salaire 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
Benoit PouliotSharksLW311986-09-29No200 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm750,000$750,000$466,387$NoLien
Carl SoderbergSharksC311985-10-12No210 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm4,750,000$4,750,000$2,953,782$No4,750,000$Lien
Danick MartelSharksLW221994-12-12No162 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$466,387$NoLien
David PastrnakSharksRW211996-05-25No188 Lbs6 ft0NoNoNo5Contrat d'EntréePro & Farm6,666,666$6,666,666$4,145,658$No6,666,666$6,666,666$6,666,666$6,666,666$Lien
Drake CaggiulaSharksLW231994-06-20No185 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm1,500,000$1,500,000$932,773$No1,500,000$Lien
Haydn FleurySharksD211996-07-08No221 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm863,333$863,333$536,863$NoLien
Jakub VoracekSharksRW281989-08-15No214 Lbs6 ft2NoNoNo6Sans RestrictionPro & Farm8,250,000$8,250,000$5,130,252$No8,250,000$8,250,000$8,250,000$8,250,000$8,250,000$Lien
Jannik HansenSharksRW311986-03-15No198 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$750,000$466,387$NoLien
Johnny GaudreauSharksLW241993-08-13No157 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm6,750,000$6,750,000$4,197,479$No6,750,000$6,750,000$6,750,000$Lien
Joonas KorpisaloSharksG231994-04-28No182 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$559,664$NoLien
Marc-Andre FleurySharksG321984-11-28No180 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm5,750,000$5,750,000$3,575,630$NoLien
Matt StajanSharksC331983-12-19No195 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$750,000$466,387$NoLien
Michael FrolikSharksRW291988-02-17No194 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm4,000,000$4,000,000$2,487,395$NoLien
Mike GreenSharksD311985-10-12No207 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,000,000$6,000,000$3,731,092$No6,000,000$Lien
Mikhail SergachevSharksD191998-06-25No215 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm894,166$894,166$556,036$No894,166$Lien
Nathan BeaulieuSharksD241992-12-05No200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm3,600,000$3,600,000$2,238,655$No3,600,000$Lien
Oscar KlefbomSharksD241993-07-20No215 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm4,167,000$4,167,000$2,591,244$No4,167,000$4,167,000$4,167,000$4,167,000$Lien
Robby FabbriSharksC211996-03-22 05:21:10No190 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$575,210$NoLien
Scott MayfieldSharksD241992-10-14No227 Lbs6 ft4NoNoNo5Contrat d'EntréePro & Farm1,450,000$1,450,000$901,681$No1,450,000$1,450,000$1,450,000$1,450,000$Lien
Shea TheodoreSharksD221995-08-03No195 Lbs6 ft2NoNoNo7Contrat d'EntréePro & Farm5,200,000$5,200,000$3,233,613$No5,200,000$5,200,000$5,200,000$5,200,000$5,200,000$5,200,000$Lien
Tyler SeguinSharksC251992-01-31No201 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm5,750,000$5,750,000$3,575,630$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.67197 Lbs6 ft12.483,353,151$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
70,416,165$49,227,832$32,483,666$32,483,666$25,733,666$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauTyler SeguinJakub Voracek40122
2Benoit PouliotCarl SoderbergDavid Pastrnak30122
3Drake CaggiulaRobby FabbriMichael Frolik20122
4Danick MartelMatt StajanJannik Hansen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike GreenOscar Klefbom40122
2Scott MayfieldShea Theodore30122
3Mikhail SergachevHaydn Fleury20122
4Mike GreenOscar Klefbom10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauTyler SeguinJakub Voracek60122
2Benoit PouliotCarl SoderbergDavid Pastrnak40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike GreenOscar Klefbom60122
2Scott MayfieldShea Theodore40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler SeguinJakub Voracek60122
2David PastrnakJohnny Gaudreau40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike GreenOscar Klefbom60122
2Scott MayfieldShea Theodore40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Seguin60122Mike GreenOscar Klefbom60122
2Jakub Voracek40122Scott MayfieldShea Theodore40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler SeguinJakub Voracek60122
2David PastrnakJohnny Gaudreau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike GreenOscar Klefbom60122
2Scott MayfieldShea Theodore40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauTyler SeguinJakub VoracekMike GreenOscar Klefbom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauTyler SeguinJakub VoracekMike GreenOscar Klefbom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Frolik, Robby Fabbri, Matt StajanMichael Frolik, Robby FabbriMatt Stajan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Sergachev, Haydn Fleury, Scott MayfieldMikhail SergachevHaydn Fleury, Scott Mayfield
Tirs de Pénalité
Tyler Seguin, Jakub Voracek, David Pastrnak, Johnny Gaudreau, Michael Frolik
Gardien
#1 : Marc-Andre Fleury, #2 : Joonas Korpisalo


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
1Blackhawks30100011610-42010001036-31000000134-130.50061016004011964231218954232501218.33%16381.25%035070050.00%38373352.25%19138549.61%643569305627
2Blue Jackets1000010023-1000000000001000010023-110.50024600011033521613954232150.00%20100.00%035070050.00%38373352.25%19138549.61%2414187189
3Canadiens1010000023-11010000023-10000000000000.00023500011042131514026146193133.33%3233.33%135070050.00%38373352.25%19138549.61%2315197168
4Devils1000000134-1000000000001000000134-110.50035800111039619983311816500.00%40100.00%135070050.00%38373352.25%19138549.61%23132210199
5Ducks21000001431110000003121000000112-130.7504610001120753022233652414341119.09%70100.00%035070050.00%38373352.25%19138549.61%452645193417
6Flames431000001385211000007522200000063360.750132235011480151505150011641207412650.00%100100.00%035070050.00%38373352.25%19138549.61%865284366832
7Flyers10000010321000000000001000001032121.000347001101291586342112246116.67%10100.00%035070050.00%38373352.25%19138549.61%2515209189
8Golden Knights22000000633110000002111100000042241.00061016002130592516180642616516116.67%80100.00%035070050.00%38373352.25%19138549.61%432540173517
9Jets11000000321110000003210000000000021.0003470001204610191703244165120.00%2150.00%035070050.00%38373352.25%19138549.61%2414208158
10Kings30200001812-41010000024-22010000168-210.16781321004312106354029812332286210220.00%14657.14%135070050.00%38373352.25%19138549.61%643871264823
11Lightning11000000725110000007250000000000021.000712190032203715111103388185120.00%40100.00%035070050.00%38373352.25%19138549.61%2516178168
12Maple Leafs11000000312110000003120000000000021.0003690011103814131102276215120.00%30100.00%035070050.00%38373352.25%19138549.61%2415199168
13Oilers4310000014863300000013581010000013-260.75014233700536013847405101273420799333.33%10190.00%035070050.00%38373352.25%19138549.61%844988346732
14Predateurs1000000134-11000000134-10000000000010.50034700021034716113351510143133.33%5260.00%035070050.00%38373352.25%19138549.61%21122410188
15Senateurs2110000056-1110000003211010000024-220.500571200212070292318068181637600.00%8187.50%035070050.00%38373352.25%19138549.61%422542183416
16Stars11000000211000000000001100000021121.0002240001103451613033162204125.00%110.00%035070050.00%38373352.25%19138549.61%2314208158
Total291470012584721216104000115136151343001143336-3380.655841352190125243341027348361308349533081965581042221.15%981782.65%335070050.00%38373352.25%19138549.61%649385626263500248
_Since Last GM Reset291470012584721216104000115136151343001143336-3380.655841352190125243341027348361308349533081965581042221.15%981782.65%335070050.00%38373352.25%19138549.61%649385626263500248
_Vs Conference211150001459518127300011362889420000323230280.667599415301171625373925125123322690234146400721723.61%731480.82%135070050.00%38373352.25%19138549.61%459270465191359176
_Vs Division159400002453411862000002716117320000218180200.66745741190113122025291871691711149515798300481327.08%49785.71%135070050.00%38373352.25%19138549.61%325193330133254124

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2938SOW184135219102795330819655801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2914701258472
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1610400115136
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
134301143336
Derniers 10 Matchs
WLOTWOTL SOWSOL
330112
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1042221.15%981782.65%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
348361308342524334
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
35070050.00%38373352.25%19138549.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
649385626263500248


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
3 - 2018-10-118Sharks3Flames2WSommaire du Match
5 - 2018-10-1320Kings4Sharks2LSommaire du Match
6 - 2018-10-1426Sharks1Ducks2LXXSommaire du Match
10 - 2018-10-1841Flames0Sharks5WSommaire du Match
12 - 2018-10-2053Sharks3Kings4LSommaire du Match
15 - 2018-10-2366Ducks1Sharks3WSommaire du Match
19 - 2018-10-2780Oilers1Sharks5WSommaire du Match
21 - 2018-10-2989Sharks1Oilers3LSommaire du Match
25 - 2018-11-02107Golden Knights1Sharks2WSommaire du Match
27 - 2018-11-04114Sharks4Golden Knights2WSommaire du Match
29 - 2018-11-06124Sharks2Stars1WSommaire du Match
32 - 2018-11-09138Flames5Sharks2LSommaire du Match
36 - 2018-11-13155Senateurs2Sharks3WSommaire du Match
39 - 2018-11-16162Sharks3Flyers2WXXSommaire du Match
42 - 2018-11-19176Sharks3Flames1WSommaire du Match
44 - 2018-11-21184Sharks3Kings4LXXSommaire du Match
45 - 2018-11-22189Oilers1Sharks3WSommaire du Match
49 - 2018-11-26209Maple Leafs1Sharks3WSommaire du Match
52 - 2018-11-29216Sharks3Devils4LXXSommaire du Match
54 - 2018-12-01229Canadiens3Sharks2LSommaire du Match
60 - 2018-12-07249Blackhawks5Sharks1LSommaire du Match
64 - 2018-12-11267Sharks2Blue Jackets3LXSommaire du Match
66 - 2018-12-13274Lightning2Sharks7WSommaire du Match
69 - 2018-12-16282Sharks3Blackhawks4LXXSommaire du Match
72 - 2018-12-19298Predateurs4Sharks3LXXSommaire du Match
77 - 2018-12-24319Jets2Sharks3WSommaire du Match
82 - 2018-12-29341Oilers3Sharks5WSommaire du Match
84 - 2018-12-31349Sharks2Senateurs4LSommaire du Match
87 - 2019-01-03365Blackhawks1Sharks2WXXSommaire du Match
91 - 2019-01-07379Sharks-Bruins-
93 - 2019-01-09389Bruins-Sharks-
98 - 2019-01-14410Devils-Sharks-
100 - 2019-01-16417Sharks-Avalanche-
105 - 2019-01-21434Ducks-Sharks-
107 - 2019-01-23445Sharks-Flames-
110 - 2019-01-26459Sharks-Lightning-
111 - 2019-01-27461Flames-Sharks-
114 - 2019-01-30475Sharks-Islanders-
116 - 2019-02-01483Panthers-Sharks-
120 - 2019-02-05495Sharks-Predateurs-
122 - 2019-02-07506Sharks-Stars-
124 - 2019-02-09510Sharks-Canadiens-
125 - 2019-02-10516Blues-Sharks-
128 - 2019-02-13534Senateurs-Sharks-
133 - 2019-02-18554Sharks-Blackhawks-
134 - 2019-02-19560Predateurs-Sharks-
138 - 2019-02-23574Sharks-Flyers-
139 - 2019-02-24584Penguins-Sharks-
143 - 2019-02-28596Sharks-Predateurs-
145 - 2019-03-02607Kings-Sharks-
147 - 2019-03-04616Sharks-Kings-
151 - 2019-03-08631Jets-Sharks-
156 - 2019-03-13654Kings-Sharks-
160 - 2019-03-17675Golden Knights-Sharks-
162 - 2019-03-19684Sharks-Maple Leafs-
166 - 2019-03-23699Sharks-Stars-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24702Flyers-Sharks-
170 - 2019-03-27717Sharks-Blues-
172 - 2019-03-29725Blues-Sharks-
176 - 2019-04-02743Sharks-Blues-
177 - 2019-04-03749Blue Jackets-Sharks-
180 - 2019-04-06762Sharks-Penguins-
183 - 2019-04-09773Islanders-Sharks-
187 - 2019-04-13790Sharks-Jets-
189 - 2019-04-15797Golden Knights-Sharks-
191 - 2019-04-17804Sharks-Golden Knights-
192 - 2019-04-18812Sharks-Jets-
197 - 2019-04-23826Ducks-Sharks-
201 - 2019-04-27841Sharks-Panthers-
203 - 2019-04-29850Stars-Sharks-
208 - 2019-05-04866Sharks-Capitals-
210 - 2019-05-06873Sharks-Golden Knights-
211 - 2019-05-07878Flyers-Sharks-
215 - 2019-05-11898Avalanche-Sharks-
217 - 2019-05-13909Sharks-Avalanche-
219 - 2019-05-15916Sharks-Ducks-
220 - 2019-05-16923Capitals-Sharks-
223 - 2019-05-19938Sharks-Ducks-
225 - 2019-05-21943Sharks-Oilers-
230 - 2019-05-26954Avalanche-Sharks-
232 - 2019-05-28963Sharks-Oilers-
237 - 2019-06-02984Stars-Sharks-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance91,37377,24930,99262,14215,347
Attendance PCT95.18%96.56%96.85%97.10%95.92%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 17319 - 96.22% 1,608,667$25,738,664$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
27,384,300$ 70,416,165$ 70,268,665$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
70,416,165$ 26,627,940$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
40,216,662$ 148 304,270$ 45,031,960$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
45,907,198$ 70,416,165$ 10,048,282$ 4,357,746$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:24PO:59OV:84
Benoit PouliotAGE:31PO:55OV:69
Drake CaggiulaAGE:23PO:43OV:67
Danick MartelAGE:22PO:43OV:65
Michael Dal ColleAGE:21PO:88OV:60
Tyler SeguinAGE:25PO:86OV:88
Carl SoderbergAGE:31PO:43OV:74
Robby FabbriAGE:21PO:80OV:72
Matt StajanAGE:33PO:36OV:70
Vinni LettieriAGE:22PO:44OV:67
Martin NecasAGE:18PO:87OV:57
Jakub VoracekAGE:28PO:70OV:86
David PastrnakAGE:21PO:81OV:83
Michael FrolikAGE:29PO:69OV:75
Jannik HansenAGE:31PO:30OV:69
Jake VirtanenAGE:21PO:88OV:68

Défense #1Défense #2Gardien
Oscar KlefbomAGE:24PO:80OV:74
Mike GreenAGE:31PO:47OV:74
Shea TheodoreAGE:22PO:80OV:70
Scott MayfieldAGE:24PO:73OV:70
Mikhail SergachevAGE:19PO:88OV:69
Haydn FleuryAGE:21PO:87OV:69
Nathan BeaulieuAGE:24PO:79OV:68
Duncan SiemensAGE:24PO:82OV:67
Travis DermottAGE:20PO:77OV:67
Chris WidemanAGE:27PO:51OV:67
Joe HickettsAGE:21PO:44OV:61
Griffin ReinhartAGE:23PO:86OV:59
Marc-Andre FleuryAGE:32PO:49OV:86
Joonas KorpisaloAGE:23PO:66OV:74
Scott WedgewoodAGE:25PO:61OV:73

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

Choix au Repêchage

Année R1R2R3R4R5
4SJ. SJ. SJ. SJ. SJ.
5SJ. SJ. SJ. SJ. SJ.
6SJ. SJ. SJ. SJ. SJ.
7SJ. SJ. SJ. SJ. SJ.



[2018-12-05 21:03:24] - New Record for Team's Most Shots (46) in 1 Game for Sharks!
[2018-11-27 22:49:19] - New Record for Team's Most Points (19) in 1 Game for Sharks!
[2018-11-27 22:49:19] - New Record for Team's Most Goals (7) in 1 Game for Sharks!
[2018-10-30 23:06:47] - New Record for Team's Most Hits (33) in 1 Game for Sharks!
[2018-10-19 23:27:00] - New Record for Team's Most Hits (28) in 1 Game for Sharks!
[2018-10-18 21:12:18] - New Record for Team's Most Shots (45) in 1 Game for Sharks!
[2018-10-09 23:41:00] - Benoit Pouliot was added to Sharks.
[2018-10-09 23:40:42] - Jannik Hansen was added to Sharks.
[2018-10-09 23:40:32] - Matt Stajan was added to Sharks.
[2018-10-01 23:44:30] - Michael Frolik was added to Sharks.
[2018-10-01 23:38:55] - Griffin Reinhart was added to Sharks.
[2018-10-01 23:38:36] - Nathan Beaulieu was added to Sharks.
[2018-09-25 00:28:16] - Barracuda hired Doug Weight for 500 000 $ for 1 year(s).
[2018-09-04 22:11:51] - Antoine Vermette was released.
[2018-09-04 22:11:51] - Sharks paid 0 $ to release Antoine Vermette.
[2018-09-04 22:11:44] - Radim Vrbata was released.
[2018-09-04 22:11:44] - Sharks paid 0 $ to release Radim Vrbata.
[2018-09-04 22:11:28] - David Desharnais was released.
[2018-09-04 22:11:28] - Sharks paid 0 $ to release David Desharnais.
[2018-07-06 22:02:44] - Dave Hakstol contract with Barracuda has ended.
[2018-06-24 23:49:58] - General Manager Change : Sharks hired general manager Jonathan Limoges
[2018-06-24 23:49:58] - General Manager Change : Sharks fired general manager Simon Aubé
[2018-05-29 22:12:57] - Barracuda was eliminated at round 1 of year 1.
[2018-05-20 12:47:50] - Sharks didn't make playoff for year 1.



[2018-12-13 21:21:15] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-12-12 21:08:08] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-12-12 21:06:58] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2018-12-10 20:52:22] Both Sharks and Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-12-10 20:51:43] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-12-07 22:26:01] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2018-12-06 22:34:13] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-12-05 21:03:25] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2018-12-05 21:03:24] New Record for Team's Most Shots (46) in 1 Game for Sharks!
[2018-12-04 23:40:41] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-11-30 21:19:43] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-30 21:13:00] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-11-29 22:36:57] Both Sharks and Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-11-27 22:49:19] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-27 22:49:19] New Record for Team's Most Points (19) in 1 Game for Sharks!
[2018-11-27 22:49:19] New Record for Team's Most Goals (7) in 1 Game for Sharks!
[2018-11-27 22:48:48] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-11-26 20:42:15] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2018-11-23 23:34:37] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2018-11-22 22:42:51] Sharks 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
2291470012584721216104000115136151343001143336-338841352190125243341027348361308349533081965581042221.15%981782.65%335070050.00%38373352.25%19138549.61%649385626263500248
Total Saison Régulière291470012584721216104000115136151343001143336-338841352190125243341027348361308349533081965581042221.15%981782.65%335070050.00%38373352.25%19138549.61%649385626263500248