Worcester Sharks

GP: 14 | W: 6 | L: 8 | OTL: 0 | P: 12
GF: 65 | GA: 70 | PP%: 43.59% | PK%: 55.88%
DG: Bruno Ditomasso | Morale : 49 | Moyenne d'Équipe : 58
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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
1Juho LammikkoXXX100.007644946876588358736255782550506446620
2T.J. HensickXXX100.007768996968616066806860665744446550610
3Brian GibbonsXXX100.006741907061597957366364685363646649610
4John McCarthyXX100.007772886872747858735358655546466355600
5Travis BoydXX100.005941966367557960537359692549506552600
6Remi ElieX100.008445957277577557255655782547476449600
7Corban KnightX100.006342996273556257726156782558586239590
8Garrett Pilon (R)X100.007263946763778257715753615044446149580
9David GustX100.007062886562697259505360635752526247580
10Nikita Jevpalovs (R)XX100.007977846577697354504756645344446049570
11Jim O'BrienXX100.007874887274586051644847664556575655560
12Brady BrassartX100.007875846575707650634746654455555649560
13Brett KulakX100.008456847571759161255551662561616361650
14Christian WolaninX100.006341938270727676256254672557576560650
15Chad RuhwedelX100.008745927269705561254648762560616151640
16Darren RaddyshX100.007773866573808753254643654153535654610
17James de HaasX100.008380896680657046253739653748485243590
18Frank CorradoX100.007874866974555847253541663959605347580
Rayé
1Garret RossX100.005864436964575854504656555350505535530
2Reid GardinerX100.007469856569596347504147604544445335520
3Kristians Rubins (R)X100.008380896680545744253439643744445246560
4Nelson NogierX100.007572836572576145253539603744445039550
5John Nyberg (R)X100.007773876473606445253539613744445136550
6Michael Prapavessis (R)X100.007770926570555847253940613844445236550
7Cooper Zech (R)X100.006758875958555652255039583744445136530
MOYENNE D'ÉQUIPE100.00756288687163695443505066405051584758
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
1Joonas Korpisalo100.00615656746656606463619355556152600
2Eric Comrie100.00637189656367536561593044446249600
Rayé
1Dylan Wells (R)100.00576480705763516059573044445833580
2Jean-Francois Berube100.00526581664953505749493047485336540
MOYENNE D'ÉQUIPE100.0058647769596054625857464848594358
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness57734465593956CAN61360,000$


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
1T.J. HensickWorcester Sharks (SJS)C/LW/RW14141024355222365194621.54%928820.604377210000191161.80%89127021.6611001302
2Brian GibbonsWorcester Sharks (SJS)C/LW/RW1451924240221442202611.90%1227519.71268222000091152.00%25169001.7400000031
3Juho LammikkoWorcester Sharks (SJS)C/LW/RW1481422195242430161126.67%1132323.102572230000221048.63%25599001.3612010010
4Travis BoydWorcester Sharks (SJS)C/RW147714-500261935111920.00%923917.13224523000000049.06%5353001.1700000000
5Chad RuhwedelWorcester Sharks (SJS)D1401313-180301912880.00%1730021.45022021000016000.00%0415000.8700000000
6Remi ElieWorcester Sharks (SJS)LW146612-45521133192019.35%823917.11224822000011020.00%10510001.0000010010
7John McCarthyWorcester Sharks (SJS)C/LW144711-3141021263751910.81%822115.81134290000120059.34%9155000.9900200001
8Christian WolaninWorcester Sharks (SJS)D102810-62014184418274.55%1828028.05257323000018000.00%087000.7100000000
9Robert ThomasSharksC6628-22011725111624.00%314624.44011011000090137.37%19853001.0901000112
10Darren RaddyshWorcester Sharks (SJS)D14156-42210161617705.88%2129020.75101220000015000.00%049000.4100002000
11David GustWorcester Sharks (SJS)LW14516-81210141633112415.15%518913.5300000000060025.00%862000.6300011000
12Nikita JevpalovsWorcester Sharks (SJS)LW/RW14055-7601817139140.00%419914.2501106000010040.00%555000.5000000000
13Corban KnightWorcester Sharks (SJS)C9224000310225119.09%19911.0400001000020074.42%4330000.8100000000
14Brett KulakWorcester Sharks (SJS)D10134-6195161918595.56%2126526.58112123000015000.00%035000.3000001001
15Jim O'BrienWorcester Sharks (SJS)C/RW14022-4141012127190.00%41228.7600001000000033.33%313000.3300200000
16Garrett PilonWorcester Sharks (SJS)C14011-300573320.00%3976.9400000000020047.22%3611000.2100000000
17Frank CorradoWorcester Sharks (SJS)D1310100012944525.00%1319615.1500004000012000.00%067000.1000000000
18James de HaasWorcester Sharks (SJS)D140113101018169450.00%920014.350000400004000.00%006000.1000020000
19Brady BrassartWorcester Sharks (SJS)C14011140542000.00%0473.4100003000000055.00%2002000.4200000000
20Kristians RubinsWorcester Sharks (SJS)D8101-1101054100100.00%7739.150000000003010.00%012000.2711002000
21Nelson NogierWorcester Sharks (SJS)D4000-300210010.00%04511.440000000001000.00%001000.0000000000
22John NybergWorcester Sharks (SJS)D3000-100000100.00%2186.190000000000000.00%000000.0000000000
23Michael PrapavessisWorcester Sharks (SJS)D4000100220100.00%1266.630000000000000.00%001000.0000000000
24Cooper ZechWorcester Sharks (SJS)D3000100000000.00%031.260000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne26663107170-461468031929645016827214.00%186419315.771731483224400001744449.40%83699112020.8135457467
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
1Joonas KorpisaloWorcester Sharks (SJS)104500.8864.785780046405236201.0006104001
2Eric ComrieWorcester Sharks (SJS)52300.8675.31271002418096000.0000410000
Stats d'équipe Total ou en Moyenne156800.8804.948500070585332201.00061414001


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brady BrassartWorcester Sharks (SJS)C251993-06-15No207 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Brett KulakWorcester Sharks (SJS)D241994-01-05No187 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm1,850,000$0$0$NoLien
Brian GibbonsWorcester Sharks (SJS)C/LW/RW301988-02-05No175 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm725,000$0$0$NoLien
Chad RuhwedelWorcester Sharks (SJS)D281990-05-07No191 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Christian WolaninWorcester Sharks (SJS)D231995-03-17No185 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Cooper ZechWorcester Sharks (SJS)D191998-12-18Yes161 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm575,000$0$0$NoLien
Corban KnightWorcester Sharks (SJS)C271990-09-10No195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Darren RaddyshWorcester Sharks (SJS)D221996-02-28No200 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm730,000$0$0$NoLien
David GustWorcester Sharks (SJS)LW241994-02-21No174 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Dylan WellsWorcester Sharks (SJS)G201998-01-03Yes185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm745,000$0$0$NoLien
Eric ComrieWorcester Sharks (SJS)G221995-07-05No175 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm700,000$0$0$NoLien
Frank CorradoWorcester Sharks (SJS)D251993-03-26No205 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Garret RossWorcester Sharks (SJS)LW261992-05-26No172 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Garrett PilonWorcester Sharks (SJS)C201998-04-13Yes175 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm745,000$0$0$NoLien
James de HaasWorcester Sharks (SJS)D241994-05-03No210 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Jean-Francois BerubeWorcester Sharks (SJS)G261991-07-13No177 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Jim O'BrienWorcester Sharks (SJS)C/RW291989-01-29No195 Lbs6 ft3YesNoNo1Sans RestrictionPro & Farm715,000$0$0$NoLien
John McCarthyWorcester Sharks (SJS)C/LW311986-08-09No195 Lbs6 ft1YesNoNo1Sans RestrictionPro & Farm660,000$0$0$NoLien
John NybergWorcester Sharks (SJS)D211996-07-14Yes190 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm745,000$0$0$NoLien
Joonas KorpisaloWorcester Sharks (SJS)G241994-04-27No182 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm1,150,000$0$0$NoLien
Juho LammikkoWorcester Sharks (SJS)C/LW/RW221996-01-29No207 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Kristians RubinsWorcester Sharks (SJS)D201997-12-11Yes212 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm575,000$0$0$NoLien
Michael PrapavessisWorcester Sharks (SJS)D221996-01-07Yes185 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm725,000$0$0$NoLien
Nelson NogierWorcester Sharks (SJS)D221996-05-26No191 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Nikita JevpalovsWorcester Sharks (SJS)LW/RW231994-09-08Yes210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm575,000$0$0$NoLien
Reid GardinerWorcester Sharks (SJS)RW221996-01-18No193 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm650,000$0$0$NoLien
Remi ElieWorcester Sharks (SJS)LW231995-04-15No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
T.J. HensickWorcester Sharks (SJS)C/LW/RW321985-12-10No190 Lbs5 ft10YesNoNo1Sans RestrictionPro & Farm660,000$0$0$NoLien
Travis BoydWorcester Sharks (SJS)C/RW241993-09-14No185 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm800,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.14190 Lbs6 ft11.38756,897$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1T.J. HensickJuho LammikkoBrian Gibbons40122
2Remi ElieJohn McCarthyTravis Boyd30122
3David GustCorban KnightNikita Jevpalovs20122
4Juho LammikkoGarrett PilonJim O'Brien10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBrett Kulak40122
2Chad RuhwedelDarren Raddysh30122
3James de HaasFrank Corrado20122
4Christian WolaninBrett Kulak10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1T.J. HensickJuho LammikkoBrian Gibbons60122
2Remi ElieJohn McCarthyTravis Boyd40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBrett Kulak60122
2Chad RuhwedelDarren Raddysh40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Juho LammikkoT.J. Hensick60122
2Brian GibbonsJohn McCarthy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBrett Kulak60122
2Chad RuhwedelDarren Raddysh40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Juho Lammikko60122Christian WolaninBrett Kulak60122
2T.J. Hensick40122Chad RuhwedelDarren Raddysh40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Juho LammikkoT.J. Hensick60122
2Brian GibbonsJohn McCarthy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninBrett Kulak60122
2Chad RuhwedelDarren Raddysh40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
T.J. HensickJuho LammikkoBrian GibbonsChristian WolaninBrett Kulak
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
T.J. HensickJuho LammikkoBrian GibbonsChristian WolaninBrett Kulak
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brady Brassart, Corban Knight, David GustBrady Brassart, Corban KnightDavid Gust
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
James de Haas, Frank Corrado, Chad RuhwedelJames de HaasFrank Corrado, Chad Ruhwedel
Tirs de Pénalité
Juho Lammikko, T.J. Hensick, Brian Gibbons, John McCarthy, Remi Elie
Gardien
#1 : Joonas Korpisalo, #2 : Eric Comrie


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
1Brampton Battalion11000000853000000000001100000085321.00081523001725212271321561615459714100.00%110.00%013126549.43%16231152.09%12026046.15%289154298124262137
2Hartford Wolf Pack30300000514-91010000035-22020000029-700.00058130017252129113215616151242731709111.11%8362.50%013126549.43%16231152.09%12026046.15%289154298124262137
3Hershey Bears403000102027-7201000101113-220200000914-520.2502034540017252121401321561615177483385161168.75%14842.86%013126549.43%16231152.09%12026046.15%289154298124262137
4Manitoba Moose31100010121202010001089-11100000043140.6671217290017252121071321561615893226856350.00%30100.00%013126549.43%16231152.09%12026046.15%289154298124262137
5Rimouski Oceanic32100000201282110000011741100000095440.6672033530017252128513215616151507049657228.57%8362.50%013126549.43%16231152.09%12026046.15%289154298124262137
Total1448000206570-5714000203334-1734000003236-4120.429651071720017252124501321561615585186146319391743.59%341555.88%013126549.43%16231152.09%12026046.15%289154298124262137
_Since Last GM Reset1448000206570-5714000203334-1734000003236-4120.429651071720017252124501321561615585186146319391743.59%341555.88%013126549.43%16231152.09%12026046.15%289154298124262137
_Vs Conference1338000205765-8714000203334-1624000002431-7100.38557921490017252124231321561615540177139305381744.74%331457.58%013126549.43%16231152.09%12026046.15%289154298124262137
_Vs Division33800020514-91140002035-22240000029-7101.66758130017252129113215616151242731709111.11%8362.50%013126549.43%16231152.09%12026046.15%289154298124262137

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1412SOW16510717245058518614631900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
144800206570
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
71400203334
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
73400003236
Derniers 10 Matchs
WLOTWOTL SOWSOL
260020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
391743.59%341555.88%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
13215616151725212
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
13126549.43%16231152.09%12026046.15%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
289154298124262137


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 - 2019-09-2317Manitoba Moose6Worcester Sharks4LSommaire du Match
3 - 2019-09-2431Rimouski Oceanic1Worcester Sharks9WSommaire du Match
4 - 2019-09-2546Worcester Sharks8Brampton Battalion5WSommaire du Match
5 - 2019-09-2660Worcester Sharks1Hartford Wolf Pack3LSommaire du Match
6 - 2019-09-2772Rimouski Oceanic6Worcester Sharks2LSommaire du Match
7 - 2019-09-2882Worcester Sharks9Rimouski Oceanic5WSommaire du Match
8 - 2019-09-2992Worcester Sharks1Hartford Wolf Pack6LSommaire du Match
9 - 2019-09-30110Hartford Wolf Pack5Worcester Sharks3LSommaire du Match
10 - 2019-10-01125Worcester Sharks4Manitoba Moose3WSommaire du Match
12 - 2019-10-03138Manitoba Moose3Worcester Sharks4WXXSommaire du Match
13 - 2019-10-04151Worcester Sharks5Hershey Bears7LSommaire du Match
16 - 2019-10-07173Hershey Bears9Worcester Sharks6LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
17 - 2019-10-08182Worcester Sharks4Hershey Bears7LSommaire du Match
19 - 2019-10-10199Hershey Bears4Worcester Sharks5WXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,195,000$ 2,195,000$ 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$ 1 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