Sharks

DG: Marc-Andre Bois Morale : 63 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
1Cody HodgsonXXX100.00544390716363625583525862535042080580
2Dave DziurzynskiX100.00643580667953365245545058483532080540
3Nick PaulXX100.00523588698254375053485260483532081540
4Tyler RandellX100.00645658706847384435355257483532078510
5Alex Tuch (R)XX100.00505050507450505050505050503230081500
6Patrice CormierXX100.00603595687546353550353557484642081490
7Justin Bailey (R)X100.00483588667353353535353568483532081490
8Casey BaileyX100.00463585636846333735334058473532081470
9Michael KostkaX100.00553588646958363635393270484539080550
10Brandon GormleyX100.00603586626460454135384367484136081550
11Andrew MacWilliamX100.00553572597048343935443376473532079540
12Dylan DeMeloX100.00593587656350434035364368483532080540
13Scott Harrington (R)X100.00593587606656363535373273483532081540
14Mat ClarkX100.00553574597646333735413369473734063530
15David MusilX100.00493582596953333535363377473532081530
16Joel HanleyX100.00483595716253353635393269483532081530
17David WarsofskyX100.00503592704961374035374363484036081530
18Trevor Carrick (R)X100.00543595676054353135303274483532080530
19Conor AllenX100.00583576666950333335333359473734070510
20Ian McCoshen (R)X100.00454545456845454545454545453230027460
21Matt Finn (R)X100.00454545456445454545454545453230070460
Rayé
1Anton Rodin (R)XX100.00454545455545454545454545453230020450
2Nicholas Baptiste (R)XX100.00434343436143434343434343433230020440
3Justin Kirkland (R)XX100.00434343435443434343434343433230020430
4Darren ArchibaldX100.00328436497333443335333350473532020410
5Kevin Roy (R)X100.00404040404140404040404040403230020400
6Clark Bishop (R)X100.00373737375637373737373737373230020390
7Vincent Dunn (R)X100.00373737375137373737373737373230020390
8Mark CundariX100.00328535536233533335333355473734020450
9Andrew Welinski (R)X100.00434343436043434343434343433230020440
10Kyle Wood (R)X100.00434343436443434343434343433230020440
11Ludwig Bystrom (R)X100.00454545455045454545454545453230020440
12Alexis Vanier (R)X100.00404040407240404040404040403230020420
13Ryan Graves (R)X100.00404040407440404040404040403230020420
14Aaron Haydon (R)X100.00373737376437373737373737373230020400
15Patrick WeyX100.00398535396633493335333335473532020400
MOYENNE D'ÉQUIPE100.0048436354654740404140405446353205348
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 Berra100.0046457280484847494889604136019530
2Garret Sparks100.0045459278464747474665913532026510
3Matt Hackett100.0044457262454445464362604238063490
Rayé
1Brandon Whitney (R)100.0037373773373737373737373230020400
2Patrik Bartosak100.0037373771373737373737373230020400
MOYENNE D'ÉQUIPE100.004242627343434343425857363303047
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Rolston46506448716157USA502500,000$


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
1Cody HodgsonSharks (San)C/LW/RW795848106134420632503790015.30%15182923.16132134953312131226010361.63%94600041.16780041744
2Nick PaulSharks (San)C/LW79254065-8140351962330010.73%10156719.84818265728310141664354.55%162800010.8313000161
3Dave DziurzynskiSharks (San)LW7924386284951191212040011.76%11161620.46911205328411241884238.67%18100000.7736010344
4Brandon GormleySharks (San)D791942612780114991550012.26%112168121.291312251013380112223200.00%000100.7300000055
5Dylan DeMeloSharks (San)D75143044-5340100701090012.84%65136018.14111425652680003183000.00%000000.6500000342
6Michael KostkaSharks (San)D79123244-251573801140010.53%87144218.2681725822930113202210.00%000000.6100000221
7Tyler RandellSharks (San)RW79181533-1011315174871660010.84%3116614.770111055000121437.08%8900000.5700021222
8Justin BaileySharks (San)RW79131932-144022941080012.04%17120015.20101723000002039.63%42900000.5300000104
9Alex TuchSharks (San)C/RW79161430-7812516339940017.02%5142718.076814292770000533248.23%14100000.4212014121
10Andrew MacWilliamSharks (San)D7972330-56759678310022.58%4790311.440111500005000.00%000000.6600010113
11Scott HarringtonSharks (San)D79101727-22806066810012.35%65109713.89661247204000018550100.00%100000.4900000012
12Patrice CormierSharks (San)C/LW7962026-202204310374008.11%7128416.261781111900001030057.41%74900000.4001000003
13Joel HanleySharks (San)D79218204100254235005.71%246418.13112122600019010.00%200000.6200000000
14Trevor CarrickSharks (San)D7921618-2215423725008.00%435857.410000000000100.00%000000.6100010010
15Casey BaileySharks (San)RW796915-13401723490012.24%56217.87156570000000044.12%6800000.4800000010
16David WarsofskySharks (San)D793811-21603346220013.64%325867.420000000000000.00%000000.3800000002
17David MusilSharks (San)D79268-111002622140014.29%203684.66213112400005100.00%000000.4300000000
18Mat ClarkSharks (San)D50134-1202420050.00%6801.61022111000059000.00%000101.0000000000
Stats d'équipe Total ou en Moyenne1389238398636-75648801207145718950012.56%5741946014.01801252055872618448301648351653.68%423400250.651220069313334
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
1Garret SparksSharks (San)77462340.8753.1842506422518000320.63027770623
2Matt HackettSharks (San)80200.9182.13225008980000.0000050000
Stats d'équipe Total ou en Moyenne85462540.8773.1244766423318980320.630277750623


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire 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)D191996-01-06Yes197 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Alex TuchSharks (San)C/RW191996-05-10Yes213 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm895,000$895,000$895,000$895,000$Lien
Alexis VanierSharks (San)D191995-12-21Yes215 Lbs6 ft4NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Andrew MacWilliamSharks (San)D251990-03-25No214 Lbs6 ft2NoNo3Avec RestrictionPro & Farm2,000,000$1,000,000$750,000$Lien
Andrew WelinskiSharks (San)D221993-04-27Yes188 Lbs6 ft1NoNo4Avec RestrictionPro & Farm700,000$700,000$700,000$700,000$Lien
Anton RodinSharks (San)LW/RW241990-11-21Yes181 Lbs5 ft11NoNo4Avec RestrictionPro & Farm825,000$825,000$825,000$825,000$Lien
Brandon GormleySharks (San)D231992-02-18No196 Lbs6 ft2NoNo2Avec RestrictionPro & Farm810,000$810,000$Lien
Brandon WhitneySharks (San)G211994-05-11Yes193 Lbs6 ft5NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Casey BaileySharks (San)RW231991-10-27No195 Lbs6 ft3NoNo3Avec RestrictionPro & Farm900,000$900,000$900,000$Lien
Clark BishopSharks (San)C191996-05-29Yes182 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Cody HodgsonSharks (San)C/LW/RW251990-02-18No191 Lbs6 ft0NoNo1Avec RestrictionPro & Farm1,500,000$Lien
Conor AllenSharks (San)D251990-01-31No210 Lbs6 ft1NoNo2Avec RestrictionPro & Farm1,000,000$875,000$Lien
Darren ArchibaldSharks (San)LW251990-02-09No210 Lbs6 ft3NoNo2Avec RestrictionPro & Farm660,000$660,000$Lien
Dave DziurzynskiSharks (San)LW251989-10-06No224 Lbs6 ft3NoNo1Avec RestrictionPro & Farm666,666$Lien
David MusilSharks (San)D221993-04-09No207 Lbs6 ft4NoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$Lien
David WarsofskySharks (San)D251990-05-30No170 Lbs5 ft9NoNo2Avec RestrictionPro & Farm688,000$688,000$Lien
Dylan DeMeloSharks (San)D221993-05-01No195 Lbs6 ft1NoNo4Avec RestrictionPro & Farm625,000$625,000$625,000$625,000$Lien
Garret SparksSharks (San)G221993-06-28No207 Lbs6 ft2NoNo4Avec RestrictionPro & Farm670,000$670,000$670,000$670,000$Lien
Ian McCoshenSharks (San)D201995-08-05Yes205 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Joel HanleySharks (San)D241991-06-08No193 Lbs6 ft0YesNo5Avec RestrictionPro & Farm2,500,000$2,000,000$1,750,000$1,250,000$1,000,000$Lien
Justin BaileySharks (San)RW201995-07-01Yes210 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm642,000$642,000$642,000$642,000$Lien
Justin KirklandSharks (San)LW/RW191996-08-02Yes175 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Kevin RoySharks (San)LW221993-05-20Yes156 Lbs5 ft8NoNo4Avec RestrictionPro & Farm650,000$650,000$650,000$650,000$Lien
Kyle WoodSharks (San)D191996-05-04Yes195 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Ludwig BystromSharks (San)D211994-07-20Yes169 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Mark CundariSharks (San)D251990-04-23No195 Lbs5 ft9YesNo1Avec RestrictionPro & Farm750,000$Lien
Mat ClarkSharks (San)D241990-10-17No225 Lbs6 ft3NoNo2Avec RestrictionPro & Farm650,000$650,000$Lien
Matt FinnSharks (San)D211994-02-24Yes199 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Matt HackettSharks (San)G251990-03-07No171 Lbs6 ft2NoNo2Avec RestrictionPro & Farm775,000$775,000$Lien
Michael KostkaSharks (San)D291985-11-28No210 Lbs6 ft1YesNo1Avec RestrictionPro & Farm950,000$Lien
Nicholas BaptisteSharks (San)C/RW201995-08-04Yes189 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm640,000$640,000$640,000$640,000$Lien
Nick PaulSharks (San)C/LW201995-03-20No230 Lbs6 ft4NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Patrice CormierSharks (San)C/LW251990-06-14No215 Lbs6 ft2NoNo3Avec RestrictionPro & Farm725,000$725,000$725,000$Lien
Patrick WeySharks (San)D241991-03-21No200 Lbs6 ft2NoNo2Avec RestrictionPro & Farm640,000$640,000$Lien
Patrik BartosakSharks (San)G221993-03-29No194 Lbs6 ft1NoNo3Avec RestrictionPro & Farm525,000$525,000$525,000$Lien
Reto BerraSharks (San)G281987-01-03No210 Lbs6 ft4NoNo2Avec RestrictionPro & Farm850,000$850,000$Lien
Ryan GravesSharks (San)D201995-05-21Yes220 Lbs6 ft4NoNo4Contrat d'EntréePro & Farm660,000$660,000$660,000$660,000$Lien
Scott HarringtonSharks (San)D221993-03-10Yes201 Lbs6 ft2NoNo3Avec RestrictionPro & Farm550,000$550,000$550,000$Lien
Trevor CarrickSharks (San)D211994-07-04Yes186 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Tyler RandellSharks (San)RW241991-06-15No198 Lbs6 ft1YesNo4Avec RestrictionPro & Farm3,000,000$2,250,000$1,750,000$1,250,000$Lien
Vincent DunnSharks (San)C201995-09-14Yes172 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm603,000$603,000$603,000$603,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4122.44198 Lbs6 ft13.20861,382$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Cody Hodgson40122
2Dave DziurzynskiNick PaulAlex Tuch30122
3Justin BaileyPatrice CormierTyler Randell20122
4Cody HodgsonJustin Bailey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon GormleyScott Harrington40122
2Michael Kostka30122
3Andrew MacWilliamJoel Hanley20122
4David WarsofskyTrevor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Cody Hodgson60122
2Dave DziurzynskiNick PaulAlex Tuch40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon GormleyScott Harrington60122
2Michael Kostka40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cody Hodgson60122
2Dave DziurzynskiNick Paul40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon GormleyScott Harrington60122
2Michael Kostka40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Brandon GormleyScott Harrington60122
2Cody Hodgson40122Michael Kostka40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cody Hodgson60122
2Dave DziurzynskiNick Paul40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon GormleyScott Harrington60122
2Michael Kostka40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Cody HodgsonBrandon GormleyScott Harrington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Cody HodgsonBrandon GormleyScott Harrington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Casey Bailey, Tyler Randell, Patrice CormierCasey Bailey, Tyler RandellPatrice Cormier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Musil, Mat Clark, David MusilMat Clark,
Tirs de Pénalité
, Cody Hodgson, Dave Dziurzynski, Nick Paul,
Gardien
#1 : Garret Sparks, #2 : Matt Hackett


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
Admirals514000001324-1131200000913-420200000411-720.200132134101019488201356858467665315747557840512.50%25676.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Falcons20100010912-3100000105411010000048-420.50091423001019488206768584676653652426409222.22%8362.50%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Bruins2110000068-21010000026-41100000042220.5006915001019488204768584676653471716307114.29%8187.50%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Crunch21100000981110000006331010000035-220.50091726001019488206968584676653741917289222.22%6183.33%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Heat53200000201733120000089-122000000128460.6002038580010194882013168584676653145433811622627.27%17570.59%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Phantoms21001000743110000005321000100021141.000712190010194882058685846766534315232613323.08%8187.50%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Baby Hawks321000001091211000005501100000054140.6671020300010194882070685846766537129545313323.08%16568.75%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Monsters20100010880100000103211010000056-120.50081321001019488206568584676653551220309222.22%9188.89%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Jayhawks3300000013103110000004312200000097261.0001317300010194882059685846766537528265012433.33%12191.67%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Cougars2110000069-3110000004311010000026-420.500611170010194882060685846766534818263913430.77%12283.33%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Oil Kings53100001191273210000010462100000198170.70019345302101948820158685846766539545308134926.47%14192.86%11323250152.90%1280237553.89%742141552.44%2018135918406511117567
Sound Tigers2020000037-41010000023-11010000014-300.0003470010194882048685846766536314383510110.00%120100.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Monarchs521001011920-120000101911-232100000109160.600193453001019488201376858467665313737369123313.04%16568.75%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Minnesota33000000154111100000041322000000113861.00015274200101948820118685846766535612225122627.27%60100.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Spiders21100000862110000004131010000045-120.500815230010194882053685846766537211243410440.00%12191.67%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Senators22000000844110000004221100000042241.000814220010194882053685846766535510163512433.33%7271.43%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Manchots20000020752100000103211000001043141.0007815001019488205768584676653541423349111.11%9188.89%11323250152.90%1280237553.89%742141552.44%2018135918406511117567
Wolf Pack2110000012102110000008531010000045-120.5001223350010194882010268584676653821727617228.57%11463.64%11323250152.90%1280237553.89%742141552.44%2018135918406511117567
Chiefs3110100012111211000007701000100054140.6671222340010194882070685846766537516224710330.00%11281.82%11323250152.90%1280237553.89%742141552.44%2018135918406511117567
Thunder21000010853100000104311100000042241.000812200010194882051685846766535314184011327.27%8187.50%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Marlies22000000826110000004131100000041341.00081321001019488204668584676653471725437228.57%100100.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Comets531000012118321000001972321000001211170.700213859001019488201486858467665314439548623521.74%21385.71%11323250152.90%1280237553.89%742141552.44%2018135918406511117567
Cabaret Lady Mary Ann2020000048-41010000035-21010000013-200.0004812001019488206668584676653501931521516.67%8450.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
IceCaps32000100963110000004222100010054150.833916250110194882082685846766535920326812325.00%16193.75%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Chill504010001525-1020101000710-330300000815-720.200152540101019488201026858467665316248598922522.73%21480.95%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Rocket2010100068-21010000025-31000100043120.50061218001019488205668584676653542020538112.50%10370.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Bears22000000532110000004311100000010141.00058130110194882043685846766533561037500.00%4175.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Caroline21001000633110000003121000100032141.00061117001019488206368584676653462215391915.26%50100.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Las Vegas30201000810-22010100067-11010000023-120.3338152300101948820110685846766537914224817317.65%8450.00%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Vs Division1656012015552381201101292818440010026242150.46955961510010194882044868584676653428134169320821821.95%691479.71%01323250152.90%1280237553.89%742141552.44%2018135918406511117567
Vs Conference38141502241129139-101875011317068220710011105971-12430.5661292153442210194882010356858467665310842944036981903719.47%1653181.21%21323250152.90%1280237553.89%742141552.44%2018135918406511117567
Since Last GM Reset823729062532942761841191302142148131174118160411114614511010.61629451180524101948820232468584676653219864782515144238921.04%3306380.91%51323250152.90%1280237553.89%742141552.44%2018135918406511117567
Total823729062532942761841191302142148131174118160411114614511010.61629451180524101948820232468584676653219864782515144238921.04%3306380.91%51323250152.90%1280237553.89%742141552.44%2018135918406511117567

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82101W129451180523242198647825151424
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8237296253294276
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119132142148131
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4118164111146145
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4238921.04%3306380.91%5
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
68584676653101948820
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
1323250152.90%1280237553.89%742141552.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2018135918406511117567


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2016-10-124Monarchs7Sharks6LXSommaire du Match
4 - 2016-10-1524Sharks4Falcons8LSommaire du Match
6 - 2016-10-1733Sharks4Wolf Pack5LSommaire du Match
7 - 2016-10-1839Sharks1Sound Tigers4LSommaire du Match
9 - 2016-10-2053Sharks4Manchots3WXXSommaire du Match
11 - 2016-10-2276Sharks2Cougars6LSommaire du Match
14 - 2016-10-2593Admirals1Sharks3WSommaire du Match
16 - 2016-10-27106Falcons4Sharks5WXXSommaire du Match
18 - 2016-10-29120Las Vegas3Sharks1LSommaire du Match
21 - 2016-11-01137Sharks3Chill4LSommaire du Match
23 - 2016-11-03155Heat4Sharks2LSommaire du Match
25 - 2016-11-05173Manchots2Sharks3WXXSommaire du Match
28 - 2016-11-08187Sharks1Bears0WSommaire du Match
30 - 2016-11-10199Sharks1Cabaret Lady Mary Ann3LSommaire du Match
32 - 2016-11-12217Sharks4Thunder2WSommaire du Match
35 - 2016-11-15235Sharks3Caroline2WXSommaire du Match
37 - 2016-11-17247Sharks5Chiefs4WXSommaire du Match
39 - 2016-11-19263Sharks1Chill5LSommaire du Match
41 - 2016-11-21282Spiders1Sharks4WSommaire du Match
43 - 2016-11-23299Baby Hawks3Sharks0LSommaire du Match
45 - 2016-11-25312Sound Tigers3Sharks2LSommaire du Match
46 - 2016-11-26321Admirals8Sharks4LSommaire du Match
49 - 2016-11-29341Chill8Sharks4LSommaire du Match
50 - 2016-11-30342Sharks6Monarchs3WSommaire du Match
52 - 2016-12-02358Rocket5Sharks2LSommaire du Match
57 - 2016-12-07394Senators2Sharks4WSommaire du Match
59 - 2016-12-09410Sharks1Admirals5LSommaire du Match
60 - 2016-12-10416Caroline1Sharks3WSommaire du Match
63 - 2016-12-13431Sharks4Marlies1WSommaire du Match
64 - 2016-12-14441Sharks4Senators2WSommaire du Match
66 - 2016-12-16454Sharks4Rocket3WXSommaire du Match
68 - 2016-12-18471Sharks5Baby Hawks4WSommaire du Match
70 - 2016-12-20492Heat4Sharks3LSommaire du Match
73 - 2016-12-23508Oil Kings0Sharks4WSommaire du Match
77 - 2016-12-27526Sharks3Admirals6LSommaire du Match
80 - 2016-12-30545Phantoms3Sharks5WSommaire du Match
81 - 2016-12-31551Sharks0Monarchs4LSommaire du Match
84 - 2017-01-03571Monarchs4Sharks3LXXSommaire du Match
86 - 2017-01-05584Minnesota1Sharks4WSommaire du Match
88 - 2017-01-07599Cougars3Sharks4WSommaire du Match
91 - 2017-01-10617Sharks5Oil Kings3WSommaire du Match
92 - 2017-01-11623Sharks6Heat4WSommaire du Match
95 - 2017-01-14651Chiefs4Sharks3LSommaire du Match
97 - 2017-01-16660IceCaps2Sharks4WSommaire du Match
99 - 2017-01-18676Sharks4Monarchs2WSommaire du Match
100 - 2017-01-19684Thunder3Sharks4WXXSommaire du Match
102 - 2017-01-21700Monsters2Sharks3WXXSommaire du Match
104 - 2017-01-23709Sharks5Monsters6LSommaire du Match
105 - 2017-01-24721Sharks2IceCaps0WSommaire du Match
107 - 2017-01-26737Oil Kings0Sharks3WSommaire du Match
112 - 2017-01-31745Baby Hawks2Sharks5WSommaire du Match
114 - 2017-02-02765Sharks5Comets3WSommaire du Match
116 - 2017-02-04783Chill2Sharks3WXSommaire du Match
119 - 2017-02-07790Sharks3Crunch5LSommaire du Match
121 - 2017-02-09806Sharks4Bruins2WSommaire du Match
123 - 2017-02-11817Sharks2Phantoms1WXSommaire du Match
124 - 2017-02-12828Sharks4Spiders5LSommaire du Match
127 - 2017-02-15846Cabaret Lady Mary Ann5Sharks3LSommaire du Match
130 - 2017-02-18866Sharks4Chill6LSommaire du Match
131 - 2017-02-19874Bruins6Sharks2LSommaire du Match
137 - 2017-02-25904Sharks3Comets5LSommaire du Match
140 - 2017-02-28924Marlies1Sharks4WSommaire du Match
142 - 2017-03-02945Comets4Sharks3LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
145 - 2017-03-05965Sharks7Minnesota2WSommaire du Match
146 - 2017-03-06972Sharks3IceCaps4LXSommaire du Match
149 - 2017-03-09990Bears3Sharks4WSommaire du Match
151 - 2017-03-111003Las Vegas4Sharks5WXSommaire du Match
152 - 2017-03-121015Jayhawks3Sharks4WSommaire du Match
154 - 2017-03-141028Crunch3Sharks6WSommaire du Match
156 - 2017-03-161038Chiefs3Sharks4WSommaire du Match
158 - 2017-03-181062Admirals4Sharks2LSommaire du Match
160 - 2017-03-201073Sharks4Jayhawks3WSommaire du Match
161 - 2017-03-211082Sharks4Minnesota1WSommaire du Match
164 - 2017-03-241103Sharks5Jayhawks4WSommaire du Match
165 - 2017-03-251113Sharks2Las Vegas3LSommaire du Match
168 - 2017-03-281136Wolf Pack5Sharks8WSommaire du Match
170 - 2017-03-301145Sharks4Oil Kings5LXXSommaire du Match
171 - 2017-03-311154Sharks6Heat4WSommaire du Match
173 - 2017-04-021172Sharks4Comets3WSommaire du Match
175 - 2017-04-041186Comets3Sharks6WSommaire du Match
177 - 2017-04-061196Oil Kings4Sharks3LSommaire du Match
179 - 2017-04-081219Heat1Sharks3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna17501250
Prix des Billets5020
Assistance5462737848
Assistance PCT76.14%73.85%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2255 - 75.18% 85,081$3,488,310$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,531,667$ 3,386,042$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
4,489,474$ 19,512$ 3,986,763$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 22,274$ 0$




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
2016823729062532942761841191302142148131174118160411114614517429451180524101948820232468584676653219864782515144238921.04%3306380.91%51323250152.90%1280237553.89%742141552.44%2018135918406511117567
Total Saison Régulière823729062532942761841191302142148131174118160411114614517429451180524101948820232468584676653219864782515144238921.04%3306380.91%51323250152.90%1280237553.89%742141552.44%2018135918406511117567