Sharks

GP: 13 | W: 7 | L: 6
GF: 34 | GA: 36 | PP%: 18.67% | PK%: 85.23%
DG: Kevin Poulin | Morale : 63 | Moyenne d'Équipe : 68
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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
1Joakim AnderssonX100.005947637079596083847566746095833458690
2Shane Prince (R)X100.006451627173567480588176615981765974690
3Seth Griffith (R)X100.005942776971636873807576696878746878680
4Austin Watson (R)X100.008871696987786868666868806068537179680
5Marcus Sorensen (R)X100.006841736967819368636669695569525178660
6Derek Grant (R)X100.007435746586767464797168715871534879660
7Ryan Reaves (R)X100.009950616682769365706565656573573058660
8Garnet Hathaway (R)X100.008644646682768965676466725766523670660
9Ryan Carpenter (R)X100.007735756774808166796766725573523679660
10Pontus Aberg (R)X100.006435777072797469506869696055527370650
11Jack SkilleX100.006540856678767960826356735986824638650
12Remi Elie (R)X100.006536866576709468526866645369557220640
13Dmitry OrlovX100.007137956776929774307076817081695637730
14David SchlemkoX100.006037916973908080256666829088832979720
15Erik Cernak (R)X100.009244696591798064306662755263517480690
16Klas DahlbeckX100.008433986775697085255855805860604775690
17Vince Dunn (R)X100.006241727175809170307270695956526978670
18Casey Nelson (R)X100.006744786374746962306360725266553852640
Rayé
1Sven Andrighetto (R)X100.006950667271787981706770739076736873700
2Max McCormick (R)X100.005435636771609360526259605263544420600
3Rourke Chartier (R)X100.005435726870585668705960615251505420590
4Michael McLeod (R)X100.006047666978586068715756585251508520580
5Christian Wolanin (R)X100.005435747077636570306361635257505951610
6Cameron Gaunce (R)X100.005689597081515170305757664951505820600
7Mark Alt (R)X100.005935676487505164305457695061525817600
MOYENNE D'ÉQUIPE100.00684473687771767054666570596860555666
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
1Calvin Pickard (R)100.00817985777999999899888082786279850
2Carter Hart (R)100.00888394778791939291878052707379830
Rayé
1Kevin Poulin (R)100.00658177817390909292758283823020800
2Jean-François Berube (R)100.00776690747984797878675271625220740
MOYENNE D'ÉQUIPE100.0078778777809190909079747273545081
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Zettler78797964837772CAN511800,000$


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
1Joakim AnderssonSharks (SJ )C13411151555284734133611.76%1026820.6916710630000520053.91%38425001.1200100020
2Seth GriffithSharks (SJ )LW138614112025193171925.81%925019.23641013590000341131.25%16116001.1200000203
3Shane PrinceSharks (SJ )RW11381122603323355288.57%722120.162688490001381040.63%32101000.9900000001
4Marcus SorensenSharks (SJ )LW1335801003118425177.14%222417.280225290001261040.00%2041000.7101000110
5Austin WatsonSharks (SJ )C13347140303439326219.38%721916.910113480001181050.26%19164000.6400132000
6David SchlemkoSharks (SJ )D13426-20017342391417.39%2235527.38303975000385110.00%0915000.3400000010
7Erik CernakSharks (SJ )D13055317539278530.00%929622.82011046000056000.00%0311000.3400001000
8Roman HorakSharksLW6325-1007242241313.64%414824.721127410002331064.71%6832000.6700000100
9Vince DunnSharks (SJ )D1303321810231771270.00%925119.31011038000032000.00%0116000.2400110001
10Ryan ReavesSharks (SJ )RW1303313353125231190.00%518414.190110170001150038.46%2614000.3300010000
11Casey NelsonSharks (SJ )D3022000421010.00%13612.110000000000000.00%003001.1000000000
12Derek GrantSharks (SJ )C13112-52351818195125.26%313610.52000030001220044.44%7203000.2900001000
13Pontus AbergSharks (SJ )LW1120202091084625.00%1877.9300000000061057.14%722000.4600000001
14Garnet HathawaySharks (SJ )RW13112-1120231817135.88%714611.28000219000080031.25%1603000.2700000000
15Christian WolaninSharks (SJ )D12022-300999330.00%1415813.250000100006000.00%035000.2500000000
16Dmitry OrlovSharks (SJ )D7011-30052210830.00%418326.27000228000052000.00%0311000.1100000000
17Mark AltSharks (SJ )D31011201120150.00%23612.230000000001010.00%000000.5500000010
18Sven AndrighettoSharks (SJ )RW5101-100111093311.11%410320.681012290000210070.00%1033000.1900000000
19Cameron GaunceSharks (SJ )D3000-200110000.00%1299.910000000002000.00%010000.0000000000
20Klas DahlbeckSharks (SJ )D5000-200773120.00%69118.2600019000021000.00%015000.0000000000
21Ryan CarpenterSharks (SJ )C13000-3602720218130.00%414110.9000007000090045.68%8122000.0000000000
22Ryan PulockSharksD600002011168330.00%517128.50000146000133000.00%043000.0000000000
23Max McCormick Sharks (SJ )LW4000-120020000.00%0297.400000000000000.00%101000.0000000000
24Remi ElieSharks (SJ )LW7000-2004414230.00%1497.020000000000000.00%110000.0000000000
25Jack SkilleSharks (SJ )RW8000-100673240.00%2577.170000000000000.00%011000.0000000000
Stats d'équipe Total ou en Moyenne234345690-15260604044203811172248.92%139388116.5914233763616000115847350.59%9258197000.4601354456
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
1Calvin PickardSharks (SJ )126510.9062.926994134363136200.0000121021
2Carter HartSharks (SJ )21000.9571.111080024720000.0000112100
Stats d'équipe Total ou en Moyenne147510.9122.688074136410156200.00001313121


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Austin WatsonSharks (SJ )C281992-01-12 12:29:00Yes204 Lbs6 ft4NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Calvin PickardSharks (SJ )G281992-04-15 05:11:14Yes199 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$0$0$No2,250,000$
Cameron GaunceSharks (SJ )D301990-03-19 13:14:56Yes204 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Carter HartSharks (SJ )G211998-08-13 05:01:42Yes181 Lbs6 ft2NoNoNo3Pro & Farm792,500$0$0$No792,500$792,500$
Casey NelsonSharks (SJ )D271992-07-18 09:20:28Yes185 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Christian WolaninSharks (SJ )D251995-03-17 05:02:19Yes185 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
David SchlemkoSharks (SJ )D331987-05-07 11:11:13No189 Lbs6 ft1NoNoNo2Pro & Farm1,850,000$0$0$No2,000,000$
Derek GrantSharks (SJ )C301990-04-19 15:09:49Yes215 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Dmitry OrlovSharks (SJ )D281991-07-23 17:11:13No212 Lbs5 ft11NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Erik CernakSharks (SJ )D231997-05-28 04:59:20Yes225 Lbs6 ft4NoNoNo3Pro & Farm697,500$0$0$No697,500$697,500$
Garnet HathawaySharks (SJ )RW281991-11-22 07:01:56Yes210 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Jack SkilleSharks (SJ )RW331987-05-19 23:11:13No214 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Jean-François BerubeSharks (SJ )G281991-07-13 12:32:53Yes179 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
Joakim AnderssonSharks (SJ )C311989-02-05 11:11:13No217 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Kevin PoulinSharks (SJ )G301990-04-12 05:11:14Yes218 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$No
Klas DahlbeckSharks (SJ )D281991-07-06 23:11:13No198 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Marcus SorensenSharks (SJ )LW281992-04-07 03:45:30Yes175 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Mark AltSharks (SJ )D281991-10-18 23:11:13Yes201 Lbs6 ft4NoNoNo2Pro & Farm575,000$0$0$No575,000$
Max McCormick Sharks (SJ )LW281992-05-01 06:47:04Yes188 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Michael McLeodSharks (SJ )C221998-02-03 05:04:11Yes188 Lbs6 ft2NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Pontus AbergSharks (SJ )LW261993-09-23 13:20:48Yes196 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$No
Remi ElieSharks (SJ )LW251995-04-16 13:22:37Yes213 Lbs6 ft1NoNoNo1Pro & Farm745,000$0$0$No
Rourke ChartierSharks (SJ )C241996-04-03 08:05:52Yes190 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Ryan CarpenterSharks (SJ )C291991-01-18 09:30:51Yes200 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
Ryan ReavesSharks (SJ )RW331987-01-20 06:59:31Yes225 Lbs6 ft1NoNoNo1Pro & Farm1,125,000$0$0$No
Seth GriffithSharks (SJ )LW271993-01-04 11:11:13Yes191 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$
Shane PrinceSharks (SJ )RW271992-11-16 05:11:13Yes195 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$
Sven AndrighettoSharks (SJ )RW271993-03-21 11:11:13Yes192 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Vince DunnSharks (SJ )D231996-10-29 02:29:54Yes203 Lbs6 ft0NoNoNo2Pro & Farm894,167$0$0$No894,167$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2927.52200 Lbs6 ft12.03883,362$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Seth GriffithJoakim AnderssonShane Prince35122
2Marcus SorensenAustin WatsonGarnet Hathaway35122
3Pontus AbergDerek GrantRyan Reaves25122
4Remi ElieRyan CarpenterJack Skille5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry OrlovDavid Schlemko35122
2Klas DahlbeckErik Cernak35122
3Vince DunnCasey Nelson30122
4Dmitry OrlovDavid Schlemko0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Seth GriffithJoakim AnderssonShane Prince60122
2Marcus SorensenAustin WatsonGarnet Hathaway40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry OrlovDavid Schlemko60122
2Klas DahlbeckErik Cernak40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Shane PrinceJoakim Andersson60122
2Seth GriffithAustin Watson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry OrlovDavid Schlemko60122
2Klas DahlbeckErik Cernak40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Shane Prince60122Dmitry OrlovDavid Schlemko60122
2Joakim Andersson40122Klas DahlbeckErik Cernak40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Shane PrinceJoakim Andersson60122
2Seth GriffithAustin Watson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry OrlovDavid Schlemko60122
2Klas DahlbeckErik Cernak40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Seth GriffithJoakim AnderssonShane PrinceDmitry OrlovDavid Schlemko
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Seth GriffithJoakim AnderssonShane PrinceDmitry OrlovDavid Schlemko
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Derek Grant, Ryan Carpenter, Ryan ReavesDerek Grant, Ryan CarpenterRyan Reaves
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vince Dunn, Casey Nelson, Klas DahlbeckVince DunnCasey Nelson, Klas Dahlbeck
Tirs de Pénalité
Shane Prince, Joakim Andersson, Seth Griffith, Austin Watson, Marcus Sorensen
Gardien
#1 : Calvin Pickard, #2 : Carter Hart


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
1Flames64200000161243300000010373120000069-380.6671625410112128218413613090251845512519745715.56%35488.57%018336150.69%18937949.87%9618551.89%271143297133238117
2Kings734000001824-631200000611-5422000001213-160.4291831490012128219713613090252268413920730723.33%53983.02%018336150.69%18937949.87%9618551.89%271143297133238117
Total1376000003436-26420000016142734000001822-4140.538345690011212823811361309025410139264404751418.67%881385.23%018336150.69%18937949.87%9618551.89%271143297133238117
_Since Last GM Reset1376000003436-26420000016142734000001822-4140.538345690011212823811361309025410139264404751418.67%881385.23%018336150.69%18937949.87%9618551.89%271143297133238117
_Vs Conference1376000003436-26420000016142734000001822-4140.538345690011212823811361309025410139264404751418.67%881385.23%018336150.69%18937949.87%9618551.89%271143297133238117
_Vs Division1376000003436-26420000016142734000001822-4140.538345690011212823811361309025410139264404751418.67%881385.23%018336150.69%18937949.87%9618551.89%271143297133238117

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1314L234569038141013926440401
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
137600003436
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200001614
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
73400001822
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
751418.67%881385.23%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
1361309025121282
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
18336150.69%18937949.87%9618551.89%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
271143297133238117


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-10-078Sharks3Flames2WXSommaire du Match
4 - 2019-10-0916Sharks1Flames2LXSommaire du Match
6 - 2019-10-1124Flames1Sharks2WSommaire du Match
8 - 2019-10-1332Flames2Sharks4WSommaire du Match
10 - 2019-10-1540Sharks2Flames5LSommaire du Match
12 - 2019-10-1748Flames0Sharks4WSommaire du Match
16 - 2019-10-2160Sharks2Kings4LSommaire du Match
18 - 2019-10-2364Sharks2Kings1WSommaire du Match
20 - 2019-10-2568Kings4Sharks1LSommaire du Match
22 - 2019-10-2772Kings3Sharks4WXSommaire du Match
24 - 2019-10-2976Sharks6Kings4WSommaire du Match
26 - 2019-10-3180Kings4Sharks1LSommaire du Match
28 - 2019-11-0284Sharks2Kings4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 3000 - 100.00% 104,500$627,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,561,750$ 1,154,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 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
141376000003436-26420000016142734000001822-414345690011212823811361309025410139264404751418.67%881385.23%018336150.69%18937949.87%9618551.89%271143297133238117
Total Séries1376000003436-26420000016142734000001822-414345690011212823811361309025410139264404751418.67%881385.23%018336150.69%18937949.87%9618551.89%271143297133238117