Sharks

GP: 82 | W: 46 | L: 29 | OTL: 7 | P: 99
GF: 300 | GA: 254 | PP%: 19.46% | PK%: 78.50%
DG: Marc-Andre Bois | Morale : 50 | Moyenne d'Équipe : 48
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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
1Anton LanderXX100.00553587725761554886484871484842050560
2Kerby RychelX100.00554382687157395035554667413532050540
3Nick Paul (R)XX100.00553588708263354947465262483734050540
4Justin Bailey (R)XX100.00543590677556404535424868483734050530
5Alexander Nylander (R)XX100.00453595755654354635563563483532050520
6Nicholas Baptiste (R)X100.00563584697150364550434657483532050510
7Valentin Zykov (R)XX100.00533595687847353935354263483532050490
8Casey Bailey (R)XX100.00513595686849353535353561483734050480
9Jack Roslovic (R)X100.00473595766049353535353559483532050470
10Nicklas GrossmanX100.00693584607967434635454769486254050600
11Dylan DeMeloX100.00663583696358414535474366483734050560
12Scott HarringtonX100.00633584627355384135394367483835050550
13Casey Nelson (R)X100.00533583706161364035483268483734050540
14Ian McCoshen (R)X100.00513595617250354435563270483532050540
15David WarsofskyX100.00523583734959364035394165484238050530
16Brandon GormleyX100.00573585616456423935364167474136050530
17David MusilX100.00473581586949313335343277463532050520
18Trevor CarrickX100.00513594666050333035293174473532050520
Rayé
1Dave BollandX100.00573577675764505579545574596561050590
2Alexander SeminX100.00523578677364465836575958516758050580
3Barclay GoodrowXX100.00594379687561395242594468483734050560
4Tyler RandellX100.00615657696844354235334957473532050490
5Alex Tuch (R)X100.00503595717852353535353556483532050480
6Anton Rodin (R)XX100.00433595685750353735383558483532050470
7Patrice CormierXX100.00573594677543333349333357474642050470
8Justin Kirkland (R)XX100.00414343435440404143414143423230050420
9Austin WagnerX100.00404040405940404040404040403230050420
10Darren ArchibaldX100.00318436497331413235323250463532050410
11Kevin Roy (R)X100.00384040404137373840383840393230050400
12Cooper MarodyX100.00373737375237373737373737373230050390
13Reid DukeX100.00373737376237373737373737373230050390
14Rourke ChartierX100.00373737376137373737373737373230050390
15Clark Bishop (R)X100.00353737375635353537353537363230050380
16Vincent Dunn (R)XX100.00353737375135353537353537363230050380
17Andrew FerenceX100.00624379695662444735494363478476050590
18Carlo ColaiacovoX100.00573586636660424435444362476658050560
19Nate GueninX100.00564387616958524035394168475349050560
20Joel Hanley (R)X100.00533585716252354035473268483734050540
21Andrew MacWilliamX100.00523571587045323735423276463532050530
22Mat ClarkX100.00523573587643313535393269463734050510
23Conor AllenX100.00553575656946313235323259463734050500
24Matt Finn (R)X100.00434545456442424345434345443230050450
25Brennan MenellX100.00454545455145454545454545453230050450
26Ludwig Bystrom (R)X100.00434545455042424345434345443230050440
27Andrew Welinski (R)X100.00414343436040404143414143423230050430
28Kyle Wood (R)X100.00414343436440404143414143423230050430
29Alexis Vanier (R)X100.00384040407237373840383840393230050420
30Ryan Graves (R)X100.00384040407437373840383840393230050420
31Aaron Haydon (R)X100.00353737376435353537353537363230050390
32Patrick WeyX100.00378535396631463235323235463532050390
MOYENNE D'ÉQUIPE100.0049406957654838414041405645393605049
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
1Reto Berra100.0040457380374946355195704338050520
Rayé
1Matt Hackett100.0043457062444243444159584238050470
2Thatcher Demko (R)100.0044454471444343434343423230050450
3Samuel Montembeault100.0043434373434343434343433230050450
4Brandon Whitney (R)100.0036373673363535353535353230050400
5Patrik Bartosak100.0036373671363535353535353230050390
MOYENNE D'ÉQUIPE100.004042507240414139415247363305045
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Rolston46506448716157USA511500,000$


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
1Anton LanderSharks (San)C/LW825156107-23351093174315911911.83%38189523.1213253811033200042058466.39%227900031.1347001784
2Kerby RychelSharks (San)LW82325587276810132146267246811.99%17158319.31414185827700061345146.81%9400001.1024011676
3Nick PaulSharks (San)C/LW823352853744099171254225812.99%21159319.44616226128212311252455.20%177000001.0713000778
4Justin BaileySharks (San)LW/RW823351843126081101242195313.64%12141517.267142153274000034155.88%10200001.1900000656
5Barclay GoodrowSharks (San)LW/RW66333871-1962011616226251412.60%20145822.09914236325010171537350.93%10800000.9715013871
6Nicklas GrossmanSharks (San)D682042628961014771156132312.82%88150422.121611271022850000156510.00%000000.8200100354
7Alexander NylanderSharks (San)LW/RW82172845-212040145160133210.63%15133316.2633615970000712243.45%16800000.6811000313
8Nicholas BaptisteSharks (San)RW82152338-1068201178215810499.49%12120814.743142559000000150.00%10400000.6311012123
9Dylan DeMeloSharks (San)D5672835-2440624485008.24%40100117.8971017571820000106000.00%000000.7000000003
10Valentin ZykovSharks (San)LW/RW57102333-21402367990010.10%1274813.1335813900000100045.24%4200000.8800000131
11Casey BaileySharks (San)LW/RW81131629-617563978052516.25%13114714.1700002000011044.73%105300000.5101001131
12Scott HarringtonSharks (San)D6781725-54607633763310.53%71120517.99347392200001128100.00%000000.4100000201
13David WarsofskySharks (San)D8241317101202326230317.39%275196.340000000000100.00%000000.6500000021
14Casey NelsonSharks (San)D8221416-12335885831196.45%4595211.620003240003710143.75%4800000.3401010101
15Ian McCoshenSharks (San)D8211415-10160313923454.35%3782410.060002500000000.00%000000.3600000000
16Jack RoslovicSharks (San)C45510151801339450011.11%24069.0400000000001043.01%45800000.7400000000
17Brandon GormleySharks (San)D82481291952327202420.00%265126.250000000000100.00%000000.4700001010
18Trevor CarrickSharks (San)D8213416061220025.00%11491.8302211490000120055.00%2000000.5300000010
19Nate GueninSharks (San)D11231001140025.00%22222.401123300002000.00%000002.6800000001
20Joel HanleySharks (San)D111220012100100.00%01313.570000000000000.00%000002.9500000100
21Miikka SalomakiSan JoseLW/RW2112-2003180012.50%04120.6801119000030025.00%400000.9700000001
22Connor CarrickSan JoseD7112-2757415006.67%715422.05011832000020000.00%000000.2600100000
23Carlo ColaiacovoSharks (San)D1000100202000.00%21818.250002200001000.00%000000.0000000000
24Andrew MacWilliamSharks (San)D1000100000000.00%077.600000000000000.00%000000.0000000000
25Mat ClarkSharks (San)D1000000000000.00%000.930000000000000.00%000000.0000000000
26David MusilSharks (San)D82000000358010.00%151311.610003200009600100.00%100000.0000000000
27Tyler RandellSharks (San)RW1000000110000.00%033.200000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1439293496789736658512671651247018046811.86%5231985313.80751221976292487224221306381855.86%625100030.791023249475245
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
1Reto BerraSharks (San)81442670.8723.0145676422917920400.72429810122
2Garret SparksSan Jose101300.8423.8933920221390000.0000158000
Stats d'équipe Total ou en Moyenne91452970.8703.0749078425119310400.724298258122


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 Salaire RestantCap 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
Aaron HaydonSharks (San)D201996-01-06Yes197 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm525,000$