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Connexion

Sharks
GP: 82 | W: 43 | L: 34 | OTL: 5 | P: 91
GF: 272 | GA: 247 | PP%: 15.32% | PK%: 82.25%
DG: Kevin Poulin | Morale : 62 | Moyenne d’équipe : 68

Centre de jeu
Sharks
43-34-5, 91pts
3
2 Blues
36-41-5, 77pts
Team Stats
W2SéquenceSOL1
22-16-3Fiche domicile17-21-3
21-18-2Fiche domicile19-20-2
8-2-0Derniers 10 matchs3-6-1
3.32Buts par match 2.93
3.01Buts contre par match 3.34
15.32%Pourcentage en avantage numérique16.06%
82.25%Pourcentage en désavantage numérique81.01%
Sharks
43-34-5, 91pts
3
2 Predators
37-39-6, 80pts
Team Stats
W2SéquenceL1
22-16-3Fiche domicile19-20-2
21-18-2Fiche domicile18-19-4
8-2-0Derniers 10 matchs3-6-1
3.32Buts par match 2.99
3.01Buts contre par match 3.22
15.32%Pourcentage en avantage numérique15.68%
82.25%Pourcentage en désavantage numérique79.69%
Meneurs d'équipe
Buts
Lucas Raymond
39
Passes
Ridly Greig
55
Points
Ridly Greig
87
Plus/Moins
Henry Thrun
18
Victoires
Karel Vejmelka
30
Pourcentage d’arrêts
Oscar Dansk
0.911

Statistiques d’équipe
Buts pour
272
3.32 GFG
Tirs pour
2647
32.28 Avg
Pourcentage en avantage numérique
15.3%
36 GF
Début de zone offensive
39.2%
Buts contre
247
3.01 GAA
Tirs contre
2570
31.34 Avg
Pourcentage en désavantage numérique
82.3%%
41 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralKevin Poulin
EntraîneurDavid Quinn
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,947
Billets de saison1,800


Informations de la formation

Équipe Pro41
Équipe Mineure20
Limite Contrat61 / 68
Espoirs34


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Sven AndrighettoX98.0068288664717279997296956890999646827803312,000,000$
2Pontus Aberg (R)X98.0084666065737472945495927066958944867703212,000,000$
3Ridly Greig (R)X100.007965688881898082837874772582614987752231863,333$
4Michael McLeod (R)X100.0071488275788585799781677525828050827302831,750,000$
5Jesper Boqvist (R)X100.0084409380798486766775717625857564847302711,000,000$
6Arthur Kaliyev (R)X100.0066438980808178813779826725836646807302421,250,000$
7Alexander Barabanov (R)X100.0055339675737778883684796825927439837303121,500,000$
8Vasily Podkolzin (R)X100.008463717880838376507469732575665475712241925,000$
9Jack Drury (R)X100.007140888076848374896968742576665484701261925,000$
10Gage Goncalves (R)X100.007740907778847673457168702574594983692252820,000$
11Rasmus Kupari (R)X100.007640897583818369876265712577715966680262700,000$
12Linus Karlsson (R)X100.006840827575826868406364652569585025642262883,750$
13Philip Samuelsson (R)X97.1576466864767182932565728062959925797303421,500,000$
14Ryker Evans (R)X99.007540808383867877407669772577594968732242897,500$
15Brad HuntX100.0054369573687985734083777425859861837203732,000,000$
16Jyrki Jokipakka (R)X100.00271996775597197257878776386852356700342800,000$
17Nikolai Knyzhov (R)X100.0088586767766776752573727425828349767002821,000,000$
18Henry Thrun (R)X100.006763777686857873407064742572614975702252912,500$
Rayé
1Lucas Raymond (R)X95.037748769175827993429088702590624673782241925,000$
2Justin Bailey (R)X100.006837866879787967447975646386825419680303900,000$
3Liam Ohgren (R)X100.006840827579816868406363652569585020640223886,667$
4Remi Elie (R)X100.005555996278509463396258735387735520630313575,000$
5John Leonard (R)X100.006342737361706868456367672572705720630272575,000$
6Jean-Christophe Beaudin (R)X100.003213996574607666676463685876745620620291575,000$
7Jan Jenik (R)X100.006348997274405858756369615569716020610252575,000$
8Rourke Chartier (R)X100.005538837174717160685355682569695719600301575,000$
9Vasili Ponomarev (R)X100.005542696766626062606156522564524820571242795,000$
10Patrick Giles (R)X100.006644645970666458425154602557535020560263775,000$
11Adam Raska (R)X100.005861546666636158415252522559514920542242848,333$
12Zac Jones (R)X100.006540797577858070407063722570705930690252575,000$
13Dennis Gilbert (R)X100.007573577284807768406762722568786720680291800,000$
14Keaton Middleton (R)X100.007063696792807569406260712575736019680282575,000$
15Vladislav Kolyachonok (R)X100.006240817481837369406565682569655520670243700,000$
16David Rundblad (R)X100.005533786676406761505756826799993220660352700,000$
17Christian Wolanin (R)X100.005837747274626775256564752574684020660313600,000$
18Tobias Bjornfot (R)X100.005633816875626463407065702567717620630251575,000$
19Reilly Walsh (R)X100.007468886671585955253333624749495120560273575,000$
20Nick Cicek (R)X100.005840656076605957405152522559544720552251835,000$
MOYENNE D’ÉQUIPE99.66664480727673747349696769357771514867
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Karel Vejmelka (R)100.00888991919399999999873097674290902291925,000$
2Oscar Dansk (R)100.00797068787592949393797588926186810322900,000$
Rayé
1Eetu Makiniemi (R)100.00716161696773757273662562574520672271867,500$
MOYENNE D’ÉQUIPE100.0079737379788889888877438272496579
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn9169808693881USA5812,000,000$


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
1Ridly GreigSharks (SJ )C82325587987451711921906311816.84%32154318.8271825192121129747256.98%18483527001.1301414876
2Lucas RaymondSharks (SJ )RW803946851684301431212958817613.22%36158519.8288163217411251899134.96%2267927011.0701222886
3Pontus AbergSharks (SJ )LW783247796158401761212567713612.50%36152419.54716232420402281242148.87%1334540011.0412224526
4Sven AndrighettoSharks (SJ )RW753537725001101352567814313.67%37153720.5076133117321341842150.92%3794529000.9412000483
5Michael McLeodSharks (SJ )C811436508482012919114850949.46%32139517.2204491411013512059.25%13892329000.7211022114
6Arthur KaliyevSharks (SJ )LW73242448134097762035810311.82%19128917.67235111471012224239.51%812615000.7400000332
7Alexander BarabanovSharks (SJ )RW82242347-10205772244701399.84%24109513.36101239000002229.23%655115010.8600000244
8Jesper BoqvistSharks (SJ )C82133144-40011212415859868.23%32113413.83011245000054050.00%8002822000.7800000123
9Vasily PodkolzinSharks (SJ )LW822114350331514683116317518.10%24113513.850001270221694035.37%822825010.6200120314
10Jyrki JokipakkaSharks (SJ )D7942529-3401013210038444.00%108153219.402024950112102000%02841000.3800000101
11Philip SamuelssonSharks (SJ )D77223258105251441299945322.02%108180623.46101132200110190100%01549000.2800005111
12Jack DrurySharks (SJ )C8291625940555211435757.89%236447.87000010001201055.56%243189000.7800000051
13Nikolai KnyzhovSharks (SJ )D772161810119351581256024273.33%88151019.621123114101288100%01836000.2400214001
14Gage GoncalvesSharks (SJ )LW82115168100584211238759.82%126127.4700000000000040.00%15254000.5200000210
15Henry ThrunSharks (SJ )D710151518694587964633230%62125217.63000054000170000%0638000.2400324100
16Rasmus KupariSharks (SJ )RW715813176041435322319.43%145798.1700007000001070.00%1053000.4500000100
17Ryker EvansSharks (SJ )D5711112134610871006231261.61%66132023.1601191640003145000%02541000.1801002002
18Brad HuntSharks (SJ )D58011111095331045630260%79125321.6200011230111116000%02341000.1800100000
19Luke SchennSharksD34369-67440555028131610.71%3278122.982134960001108000%0427000.2300413001
20Dennis GilbertSharks (SJ )D32077745154830277100%2449915.6200001000015000%0117000.2800012000
21Zac JonesSharks (SJ )D32066140293524880%2653316.67000010000020000%0116000.2200000000
22Justin Bailey Sharks (SJ )LW13112100101085812.50%317113.2000000000080062.50%813000.2300000000
23Keaton MiddletonSharks (SJ )D9022-3407611640%814215.840000000005000%001000.2800000000
24Linus KarlssonSharks (SJ )RW2010102017694511.11%31487.4300000000001050.00%202000.1300000000
25Rourke ChartierSharks (SJ )C1000000010000%088.5500000000000033.33%30100000000000
Statistiques d’équipe totales ou en moyenne1510273465738133917325198020762675913148010.21%9282503916.5838599716520567101743161541953.90%5284530558040.5938191432414345
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
1Karel VejmelkaSharks (SJ )65302740.9033.003679021841891741130.66736121511
2Oscar DanskSharks (SJ )2413710.9112.8812502060676299101.00042161401
Statistiques d’équipe totales ou en moyenne89433450.9052.97493022244256710402378282912


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam RaskaSharks (SJ )RW242001-09-25CZEYes185 Lbs5 ft10NoNoAssign ManuallyNoNo22024-08-30FalseFalsePro & Farm848,333$4,328$0$0$No848,333$--------848,333$--------No--------
Alexander BarabanovSharks (SJ )RW311994-06-17RUSYes195 Lbs5 ft10NoNoN/ANoNo22024-09-18FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Arthur KaliyevSharks (SJ )LW242001-06-26UZBYes210 Lbs6 ft2NoNoN/ANoNo22024-09-18FalseFalsePro & Farm1,250,000$6,378$0$0$No1,250,000$-----------------No--------
Brad HuntSharks (SJ )D371988-08-24CANNo177 Lbs5 ft9NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Christian WolaninSharks (SJ )D311995-03-17CANYes190 Lbs6 ft2NoNoN/ANoNo32025-08-29FalseFalsePro & Farm600,000$3,061$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
David RundbladSharks (SJ )D351990-10-08SWEYes199 Lbs6 ft2NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm700,000$3,571$0$0$No700,000$--------700,000$--------No--------
Dennis GilbertSharks (SJ )D291996-10-30USAYes216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$4,082$0$0$No---------------------------
Eetu MakiniemiSharks (SJ )G271999-04-19FINYes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm867,500$4,426$0$0$No---------------------------
Gage GoncalvesSharks (SJ )LW252001-01-16CANYes184 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm820,000$4,184$0$0$No820,000$--------820,000$--------No--------
Henry ThrunSharks (SJ )D252001-03-12USAYes210 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm912,500$4,656$0$0$No912,500$--------912,500$--------No--------
Jack DrurySharks (SJ )C262000-02-03USAYes186 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Jan JenikSharks (SJ )LW252000-09-15CZEYes161 Lbs6 ft1NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Jean-Christophe BeaudinSharks (SJ )RW291997-03-27CANYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Jesper BoqvistSharks (SJ )C271998-10-30SWEYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$5,102$0$0$No---------------------------
John LeonardSharks (SJ )LW271998-08-07USAYes183 Lbs5 ft11NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Justin Bailey Sharks (SJ )LW301995-07-01USAYes214 Lbs6 ft4NoNoTrade2024-10-06NoNo32025-08-29FalseFalsePro & Farm900,000$4,592$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jyrki JokipakkaSharks (SJ )D341991-08-20FINYes196 Lbs6 ft3NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm800,000$4,082$0$0$No800,000$--------800,000$--------No--------
Karel VejmelkaSharks (SJ )G291996-05-25CZEYes221 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Keaton MiddletonSharks (SJ )D281998-02-10CANYes240 Lbs6 ft6NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Liam OhgrenSharks (SJ )LW222004-01-28SWEYes187 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm886,667$4,524$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Linus KarlssonSharks (SJ )RW261999-11-16SWEYes178 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm883,750$4,509$0$0$No883,750$--------883,750$--------No--------
Lucas RaymondSharks (SJ )RW242002-03-28SWEYes188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Michael McLeodSharks (SJ )C281998-02-03CANYes190 Lbs6 ft2NoNoN/ANoNo32025-08-29FalseFalsePro & Farm1,750,000$8,929$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------
Nick CicekSharks (SJ )D252000-05-29CANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm835,000$4,260$0$0$No---------------------------
Nikolai KnyzhovSharks (SJ )D281998-03-20RUSYes203 Lbs6 ft3NoNoN/ANoNo22024-09-18FalseFalsePro & Farm1,000,000$5,102$0$0$No1,000,000$-----------------No--------
Oscar DanskSharks (SJ )G321994-02-28SWEYes195 Lbs6 ft3NoNoTrade2024-12-22NoNo22024-09-07FalseFalsePro & Farm900,000$4,592$0$0$No900,000$-----------------No--------
Patrick GilesSharks (SJ )RW262000-01-03USAYes212 Lbs6 ft5NoNoAssign ManuallyNoNo32025-10-05FalseFalsePro & Farm775,000$3,954$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Philip SamuelssonSharks (SJ )D341991-07-26SWEYes202 Lbs6 ft2NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$--------1,500,000$--------No--------
Pontus AbergSharks (SJ )LW321993-09-23SWEYes196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Rasmus KupariSharks (SJ )RW262000-03-15FINYes201 Lbs6 ft2NoNoN/ANoNo22024-09-18FalseFalsePro & Farm700,000$3,571$0$0$No700,000$-----------------No--------
Reilly WalshSharks (SJ )D271999-04-21USAYes185 Lbs6 ft0NoNoN/ANoNo32025-08-29FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Remi ElieSharks (SJ )LW311995-04-16CANYes213 Lbs6 ft1NoNoN/ANoNo32025-08-29FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Ridly GreigSharks (SJ )C232002-08-08CANYes188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$4,405$0$0$No---------------------------
Rourke ChartierSharks (SJ )C301996-04-03CANYes201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Ryker EvansSharks (SJ )D242001-12-13CANYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm897,500$4,579$0$0$No897,500$--------897,500$--------No--------
Sven AndrighettoSharks (SJ )RW331993-03-21SWINo192 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Tobias BjornfotSharks (SJ )D252001-04-06SWEYes203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Vasili PonomarevSharks (SJ )C242002-03-13RUSYes180 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm795,000$4,056$0$0$No795,000$--------795,000$--------No--------
Vasily PodkolzinSharks (SJ )LW242001-06-24RUSYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Vladislav KolyachonokSharks (SJ )D242001-05-26BLRYes195 Lbs6 ft2NoNoN/ANoNo32025-08-29FalseFalsePro & Farm700,000$3,571$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Zac JonesSharks (SJ )D252000-10-18USAYes190 Lbs5 ft11NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4127.71196 Lbs6 ft11.88935,600$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus AbergRidly GreigSven Andrighetto35122
2Arthur KaliyevMichael McLeodAlexander Barabanov35122
3Vasily PodkolzinJesper BoqvistRasmus Kupari25122
4Gage GoncalvesJack DruryLinus Karlsson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansPhilip Samuelsson35122
2Brad HuntNikolai Knyzhov35122
3Jyrki JokipakkaHenry Thrun30122
4Ryker EvansPhilip Samuelsson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus AbergRidly GreigSven Andrighetto60122
2Arthur KaliyevMichael McLeodAlexander Barabanov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansPhilip Samuelsson60122
2Brad HuntNikolai Knyzhov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sven AndrighettoPontus Aberg60122
2Ridly GreigMichael McLeod40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansPhilip Samuelsson60122
2Brad HuntNikolai Knyzhov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sven Andrighetto60122Ryker EvansPhilip Samuelsson60122
2Pontus Aberg40122Brad HuntNikolai Knyzhov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sven AndrighettoPontus Aberg60122
2Ridly GreigMichael McLeod40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansPhilip Samuelsson60122
2Brad HuntNikolai Knyzhov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus AbergRidly GreigSven AndrighettoRyker EvansPhilip Samuelsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus AbergRidly GreigSven AndrighettoRyker EvansPhilip Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesper Boqvist, Vasily Podkolzin, Jack DruryJesper Boqvist, Vasily PodkolzinJack Drury
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jyrki Jokipakka, Henry Thrun, Brad HuntJyrki JokipakkaHenry Thrun, Brad Hunt
Tirs de pénalité
Sven Andrighetto, Pontus Aberg, Ridly Greig, Michael McLeod, Jesper Boqvist
Gardien
#1 : Karel Vejmelka, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Sven Andrighetto, Pontus Aberg, Ridly Greig, Michael McLeod, Jesper Boqvist, Arthur Kaliyev, Alexander Barabanov, Vasily Podkolzin, Jack Drury, Gage Goncalves
Lignes de défense personnalisées en prolongation
Ryker Evans, Philip Samuelsson, Brad Hunt, Nikolai Knyzhov, Jyrki Jokipakka


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
TotalDomicile Visiteur
# 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 RI
1Avalanche422000001192211000006422110000055040.5001120310072116805150868883888151285326968112.50%80100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681R2
2Blackhawks4210100013103210010009632110000044060.75013203300721168051188688838881512736369910220.00%8362.50%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
3Blues5210011014140210001006603110001088070.700142337007211680517186888388815147563412711218.18%18288.89%11114206354.00%1094200254.65%640119353.65%1832111617477071358681R2
4Bruins211000008531010000023-11100000062420.5008152300721168055986888388815572631543133.33%30100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
5Canadiens20200000510-51010000037-41010000023-100.00058130072116805688688838881565212465120.00%110.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
6Canucks853000002321243100000121024220000011110100.6252340630072116805259868883888152319214519034411.76%30583.33%11114206354.00%1094200254.65%640119353.65%1832111617477071358681R5
7Capitals2020000048-41010000024-21010000024-200.00047111072116805668688838881573154442150.00%20100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
8Devils220000001248110000006151100000063341.00012203200721168056786888388815602215462150.00%000%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
9Ducks624000002122-1312000001112-1312000001010040.333213152007211680518786888388815186791391302727.41%27677.78%11114206354.00%1094200254.65%640119353.65%1832111617477071358681R5
10Flames6310011024141031000110108232100000146890.750244266017211680517186888388815183501001682328.70%30776.67%01114206354.00%1094200254.65%640119353.65%1832111617477071358681R5
11Flyers21100000651110000004221010000023-120.500612180072116805608688838881576278434125.00%40100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
12Islanders21000100752110000004131000010034-130.750712190072116805728688838881571324413133.33%20100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
13Kings63200100181713120000089-132000100108270.583183250007211680520286888388815172495614323313.04%28582.14%11114206354.00%1094200254.65%640119353.65%1832111617477071358681R5
14Maple Leafs2020000038-51010000024-21010000014-300.0003690072116805718688838881570162043300.00%5260.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
15Oilers62301000201823120000078-1311010001310360.500203353007211680518286888388815179728613623730.43%23386.96%01114206354.00%1094200254.65%640119353.65%1832111617477071358681R5
16Penguins2110000058-3110000003211010000026-420.500510150072116805668688838881572201152100.00%3166.67%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
17Predators43100000131122110000067-12200000074360.7501320330072116805131868883888151283621821516.67%8362.50%21114206354.00%1094200254.65%640119353.65%1832111617477071358681R2
18Rangers210001005501000010023-11100000032130.7505712007211680576868883888157323042200.00%000%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
19Red Wings22000000725110000004041100000032141.00071017017211680561868883888156025458100.00%20100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
20Sabres21100000810-2110000005231010000038-520.500813210072116805758688838881564182550300.00%5180.00%11114206354.00%1094200254.65%640119353.65%1832111617477071358681
21Senateurs20200000712-51010000026-41010000056-100.000714210072116805618688838881570279426116.67%2150.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681
22Stars42200000201732110000098121100000119240.5002034541072116805127868883888151334824848225.00%7185.71%01114206354.00%1094200254.65%640119353.65%1832111617477071358681R2
23Wild53200000181263210000012842110000064260.600183048107211680514786888388815145534510918316.67%150100.00%01114206354.00%1094200254.65%640119353.65%1832111617477071358681R2
Total823934025202722472541201601310135121144119180121013712611910.5552724597313272116805264786888388815257089684519252353615.32%2314182.25%71114206354.00%1094200254.65%640119353.65%1832111617477071358681
_Since Last GM Reset823934025202722472541201601310135121144119180121013712611910.5552724597313272116805264786888388815257089684519252353615.32%2314182.25%71114206354.00%1094200254.65%640119353.65%1832111617477071358681
_Vs Conference58292202320195165302914110121096861029151101110997920690.5951953255202172116805184586888388815175962471213642002914.50%2023582.67%61114206354.00%1094200254.65%640119353.65%1832111617477071358681
_Vs Division32151301210106921416770011048471168601100584513360.56310617828401721168051001868883888159513425267671301813.85%1382681.16%31114206354.00%1094200254.65%640119353.65%1832111617477071358681

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8291W227245973126472570896845192532
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239342520272247
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120161310135121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4119181210137126
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2353615.32%2314182.25%7
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
8688838881572116805
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
1114206354.00%1094200254.65%640119353.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1832111617477071358681


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
15Sharks1Canucks3LR5Sommaire du match
419Canucks2Sharks3WSommaire du match
835Sharks3Oilers4LR5Sommaire du match
943Wild1Sharks5WR2Sommaire du match
1258Sharks3Ducks4LSommaire du match
1468Flames3Sharks5WR5Sommaire du match
1783Predators1Sharks3WSommaire du match
1987Sharks7Flames2WR5Sommaire du match
21104Sharks2Kings3LXR5Sommaire du match
23108Sharks2Blues4LSommaire du match
25118Canucks2Sharks3WR5Sommaire du match
29138Sharks5Canucks3WSommaire du match
30142Oilers3Sharks2LR5Sommaire du match
33164Kings4Sharks3LR5Sommaire du match
36178Sharks3Blues2WSommaire du match
38184Ducks2Sharks3WR5Sommaire du match
41200Canucks2Sharks3WR5Sommaire du match
43214Sharks6Bruins2WSommaire du match
45222Sharks1Blackhawks3LR2Sommaire du match
47233Devils1Sharks6WSommaire du match
49247Sharks2Penguins6LSommaire du match
51254Flames3Sharks2LXR5Sommaire du match
54267Sharks1Maple Leafs4LSommaire du match
56277Maple Leafs4Sharks2LSommaire du match
59294Sharks2Flyers3LSommaire du match
61302Senateurs6Sharks2LSommaire du match
63313Sharks1Avalanche3LR2Sommaire du match
64325Wild2Sharks4WSommaire du match
67341Sharks3Blackhawks1WR2Sommaire du match
68350Oilers2Sharks1LSommaire du match
74371Canucks4Sharks3LR5Sommaire du match
77385Sharks2Canadiens3LSommaire du match
79396Oilers3Sharks4WR5Sommaire du match
82414Flyers2Sharks4WSommaire du match
86436Bruins3Sharks2LSommaire du match
91458Red Wings0Sharks4WSommaire du match
95477Sharks5Senateurs6LSommaire du match
96483Blackhawks3Sharks5WR2Sommaire du match
99496Sharks2Capitals4LSommaire du match
101505Capitals4Sharks2LSommaire du match
103519Sharks2Ducks4LR5Sommaire du match
105530Predators6Sharks3LSommaire du match
106539Sharks1Canucks4LR5Sommaire du match
108553Islanders1Sharks4WSommaire du match
111568Sharks7Stars3WR2Sommaire du match
112576Penguins2Sharks3WSommaire du match
116594Sharks4Canucks1WR5Sommaire du match
118603Wild5Sharks3LSommaire du match
122620Sharks2Wild3LR2Sommaire du match
123628Flames2Sharks3WXXR5Sommaire du match
126645Sharks5Kings3WR5Sommaire du match
127651Stars3Sharks6WSommaire du match
129661Sharks3Flames4LR5Sommaire du match
132674Ducks5Sharks4LSommaire du match
134689Sharks3Islanders4LXSommaire du match
136695Sharks4Wild1WR2Sommaire du match
137700Ducks5Sharks4LSommaire du match
140716Sharks3Kings2WR5Sommaire du match
142724Rangers3Sharks2LXSommaire du match
144737Sharks4Stars6LR2Sommaire du match
146747Blues3Sharks4WR2Sommaire du match
150768Sharks6Devils3WSommaire du match
151774Sabres2Sharks5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155795Blues3Sharks2LXR2Sommaire du match
159818Sharks4Avalanche2WR2Sommaire du match
160822Kings1Sharks3WR5Sommaire du match
162837Sharks3Sabres8LSommaire du match
164843Stars5Sharks3LR2Sommaire du match
165850Sharks5Oilers4WXR5Sommaire du match
169867Blackhawks3Sharks4WXR2Sommaire du match
171879Sharks3Rangers2WSommaire du match
173891Kings4Sharks2LR5Sommaire du match
177909Sharks5Ducks2WSommaire du match
178916Avalanche1Sharks4WR2Sommaire du match
180924Sharks3Red Wings2WSommaire du match
183938Avalanche3Sharks2LR2Sommaire du match
184940Sharks5Oilers2WSommaire du match
185950Sharks4Predators2WR2Sommaire du match
186955Sharks4Flames0WR5Sommaire du match
190964Canadiens7Sharks3LSommaire du match
192975Sharks3Blues2WXXR2Sommaire du match
193976Sharks3Predators2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance80,62440,211
Assistance PCT98.32%98.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 2947 - 98.24% 126,015$5,166,605$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,658,963$ 3,835,958$ 3,835,958$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,669,162$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 29,775$ 29,775$




Sharks Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Sharks Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Sharks Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Sharks Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Sharks Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA