Worcester Sharks

GP: 82 | W: 46 | L: 27 | OTL: 9 | P: 101
GF: 366 | GA: 327 | PP%: 30.49% | PK%: 69.02%
DG: Bruno Ditomasso | Morale : 83 | 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
1Robert Thomas (R)X100.005941938168657767517766582552526875640
2Kenny AgostinoX100.008867847275648969377459592555556779640
3Brian GibbonsXXX100.006741907061597957366364685363646679610
4Remi ElieX100.008445957277577557255655782547476473610
5Corban KnightX100.006342996273556257726156782558586279600
6John McCarthyXX100.007772886872747858735358655546466374600
7Travis BoydXX100.005941966367557960537359692549506578600
8Garrett Pilon (R)X100.007263946763778257715753615044446179590
9David GustX100.007062886562697259505360635752526279580
10Nikita Jevpalovs (R)XX100.007977846577697354504756645344446082570
11Jim O'BrienXX100.007874887274586051644847664556575680570
12Brady BrassartX100.007875846575707650634746654455555679570
13Brett KulakX100.008456847571759161255349642561616371650
14Christian WolaninX100.006341938270727676256254672557576577650
15Darren RaddyshX100.007773866573808753254643654153535675620
16James de HaasX100.008380896680657046253739653748485278590
17Frank CorradoX100.007874866974555847253541663959605369580
18Kristians Rubins (R)X100.008380896680545744253439643744445220560
Rayé
1Garret RossX100.005864436964575854504656555350505519530
2Reid GardinerX100.007469856569596347504147604544445319520
3Hudson Elynuik (R)X100.008075916275555944553844624244445219510
4Emil JohanssonX100.007370806870697546253541613951515220570
5John Nyberg (R)X100.007773876473606445253539613744445120550
6Michael Prapavessis (R)X100.007770926570555847253940613844445220550
7Nelson NogierX100.007572836572576145253539603744445020540
8Cooper Zech (R)X100.006758875958555652255039583744445119530
MOYENNE D'ÉQUIPE100.00746487687163715441505064395050585758
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 Korpisalo100.00615656746656606463619355556174610
2Eric Comrie100.00637189656367536561593044446275610
Rayé
1Dylan Wells (R)100.00576480705763516059573044445819570
2Jean-Francois Berube100.00526581664953505749493047485320530
MOYENNE D'ÉQUIPE100.0058647769596054625857464848594758
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Laxdal47416256564551CAN51182,500$


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
1Travis BoydWorcester Sharks (SJS)C/RW8242651074401051032487917416.94%34149418.22326291416501113311236.96%924826001.4300000766
2Christian WolaninWorcester Sharks (SJS)D80217798-2342085136316991156.65%134210626.33171431522150555151510.00%07461010.9300121524
3Brian GibbonsWorcester Sharks (SJS)C/LW/RW82364783-240101271282177212116.59%45165520.1961723221994048897140.16%5136440131.0014001261
4Corban KnightWorcester Sharks (SJS)C82314273-875991312167012414.35%41138416.88681417981013661154.47%9843322001.0501001423
5John McCarthyWorcester Sharks (SJS)C/LW822944732752301461302167111213.43%41136116.611674770004404050.17%5844834111.0711024535
6Robert ThomasWorcester Sharks (SJS)C41243963-46042531527410515.79%2079219.335131811861013324447.77%10303119101.5905000234
7Remi ElieWorcester Sharks (SJS)LW65372663-32098852015610618.41%30118118.17101020231330002174337.21%436127011.0701000335
8David GustWorcester Sharks (SJS)LW8230295923255108772446912312.30%25118214.42000000000500143.14%514917001.0000010132
9Kenny AgostinoWorcester Sharks (SJS)LW41292958-5463086531966511114.80%2694122.97961524830110350039.84%1283811011.2314213351
10Nikita JevpalovsWorcester Sharks (SJS)LW/RW8214284218482010162104406313.46%35108213.210223340000112026.32%381720000.7800400200
11Brett KulakWorcester Sharks (SJS)D8263137-41164016412212757594.72%130208825.4734712218000092000.00%03276100.3501125122
12Darren RaddyshWorcester Sharks (SJS)D8132730185620901016232224.84%106165420.432356144000098010.00%0856000.3600121000
13Juho LammikkoSharksC/LW/RW28161228-11156462105276115.24%2367824.2235811740000482052.36%8462012010.8301001232
14Garrett PilonWorcester Sharks (SJS)C826915-3101044436619299.09%135626.8600000000081146.53%202179000.5300110001
15James de HaasWorcester Sharks (SJS)D822131527573580834017225.00%76136416.64202266011046100.00%0949000.2200016000
16Jim O'BrienWorcester Sharks (SJS)C/RW8258132195924348243610.42%167709.40000030111240048.15%271611000.3400001101
17Frank CorradoWorcester Sharks (SJS)D740111113542065595514170.00%61104214.0901114000050000.00%0542000.2100112000
18Emil JohanssonWorcester Sharks (SJS)D26055442202423159130.00%2541616.0300000000145000.00%019000.2400022000
19Kristians RubinsWorcester Sharks (SJS)D29123-7115273011969.09%2340013.8200000000020000.00%0110000.1500001000
20Garret RossWorcester Sharks (SJS)LW17112-1009771514.29%21005.900000100000000.00%421000.4000000000
21Brady BrassartWorcester Sharks (SJS)C82112295252472514.29%23304.030000160000100147.73%4422000.1200001001
22Hudson ElynuikWorcester Sharks (SJS)C8011000674010.00%2718.9300000000000054.84%3102000.2800000000
23Nelson NogierWorcester Sharks (SJS)D1000000000000.00%077.080000000000000.00%000000.0000000000
24John NybergWorcester Sharks (SJS)D1000000000000.00%01111.250000000000000.00%000000.0000000000
25Michael PrapavessisWorcester Sharks (SJS)D2000000100000.00%1157.780000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne139633454788198649285168815622657906143012.57%9112269816.26671151822021625691528977421648.69%4617576556480.78318111530383838
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
1Eric ComrieWorcester Sharks (SJS)51311340.8973.632977211801748975410.583125020504
2Joonas KorpisaloWorcester Sharks (SJS)32141250.8904.151806001251137654310.80052953121
Stats d'équipe Total ou en Moyenne83452590.8943.8347832130528851629720.647177973625


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 Cap 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
Brady BrassartWorcester Sharks (SJS)C251993-06-15No207 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Brett KulakWorcester Sharks (SJS)D241994-01-05No187 Lbs6 ft2NoNoNo3Pro & Farm1,850,000$0$0$No1,850,000$1,850,000$Lien
Brian GibbonsWorcester Sharks (SJS)C/LW/RW301988-02-05No175 Lbs5 ft8NoNoNo1Pro & Farm725,000$0$0$NoLien
Christian WolaninWorcester Sharks (SJS)D231995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Cooper ZechWorcester Sharks (SJS)D191998-12-18Yes161 Lbs5 ft9NoNoNo1Pro & Farm575,000$0$0$NoLien
Corban KnightWorcester Sharks (SJS)C271990-09-10No195 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Darren RaddyshWorcester Sharks (SJS)D221996-02-28No200 Lbs6 ft0NoNoNo1Pro & Farm730,000$0$0$NoLien
David GustWorcester Sharks (SJS)LW241994-02-21No174 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Dylan WellsWorcester Sharks (SJS)G201998-01-03Yes185 Lbs6 ft1NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$Lien
Emil JohanssonWorcester Sharks (SJS)D221996-05-06No190 Lbs6 ft0NoNoNo1Pro & Farm784,166$0$0$NoLien
Eric ComrieWorcester Sharks (SJS)G221995-07-05No175 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Frank CorradoWorcester Sharks (SJS)D251993-03-26No205 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Garret RossWorcester Sharks (SJS)LW261992-05-26No172 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Garrett PilonWorcester Sharks (SJS)C201998-04-13Yes175 Lbs5 ft10NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$Lien
Hudson ElynuikWorcester Sharks (SJS)C201997-10-12Yes194 Lbs6 ft5NoNoNo1Pro & Farm575,000$0$0$NoLien
James de HaasWorcester Sharks (SJS)D241994-05-03No210 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Jean-Francois BerubeWorcester Sharks (SJS)G261991-07-13No177 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Jim O'BrienWorcester Sharks (SJS)C/RW291989-01-29No195 Lbs6 ft3YesNoNo1Pro & Farm715,000$0$0$NoLien
John McCarthyWorcester Sharks (SJS)C/LW311986-08-09No195 Lbs6 ft1YesNoNo1Pro & Farm660,000$0$0$NoLien
John NybergWorcester Sharks (SJS)D211996-07-14Yes190 Lbs6 ft3NoNoNo2Pro & Farm745,000$0$0$No745,000$Lien
Joonas KorpisaloWorcester Sharks (SJS)G241994-04-27No182 Lbs6 ft3NoNoNo1Pro & Farm1,150,000$0$0$NoLien
Kenny AgostinoWorcester Sharks (SJS)LW261992-04-30No200 Lbs6 ft1NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien
Kristians RubinsWorcester Sharks (SJS)D201997-12-11Yes212 Lbs6 ft4NoNoNo1Pro & Farm575,000$0$0$NoLien
Michael PrapavessisWorcester Sharks (SJS)D221996-01-07Yes185 Lbs6 ft2NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Nelson NogierWorcester Sharks (SJS)D221996-05-26No191 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Nikita JevpalovsWorcester Sharks (SJS)LW/RW231994-09-08Yes210 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Reid GardinerWorcester Sharks (SJS)RW221996-01-18No193 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien
Remi ElieWorcester Sharks (SJS)LW231995-04-15No210 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Robert ThomasWorcester Sharks (SJS)C181999-07-02Yes188 Lbs6 ft0NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien
Travis BoydWorcester Sharks (SJS)C/RW241993-09-14No185 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3023.47190 Lbs6 ft11.40761,028$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kenny AgostinoRobert ThomasBrian Gibbons35023
2Remi ElieCorban KnightTravis Boyd35023
3David GustJohn McCarthyNikita Jevpalovs25023
4Kenny AgostinoGarrett PilonJim O'Brien5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett KulakChristian Wolanin36023
2Darren RaddyshJames de Haas34023
3Frank CorradoKristians Rubins25023
4Brett KulakChristian Wolanin5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kenny AgostinoRobert ThomasBrian Gibbons55014
2Remi ElieCorban KnightTravis Boyd45014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett KulakChristian Wolanin55023
2Darren RaddyshJames de Haas45023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Corban KnightTravis Boyd55041
2Jim O'BrienBrian Gibbons45041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kristians RubinsChristian Wolanin55050
2Darren RaddyshJames de Haas45050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Corban Knight55050Brett KulakKristians Rubins55050
2Travis Boyd45050Darren RaddyshJames de Haas45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kenny AgostinoRobert Thomas55122
2Brian GibbonsRemi Elie45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett KulakChristian Wolanin55122
2Darren RaddyshJames de Haas45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kenny AgostinoRobert ThomasBrian GibbonsBrett KulakChristian Wolanin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kenny AgostinoRobert ThomasBrian GibbonsBrett KulakChristian Wolanin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brady Brassart, John McCarthy, David GustBrady Brassart, John McCarthyDavid Gust
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Wolanin, Brett Kulak, Darren RaddyshJames de HaasBrett Kulak, Darren Raddysh
Tirs de Pénalité
Kenny Agostino, Robert Thomas, Brian Gibbons, Remi Elie, Corban Knight
Gardien
#1 : Eric Comrie, #2 : Joonas Korpisalo


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
1Binghampton Senators220000001367110000006421100000072541.0001317300071173115977834111493537911820378450.00%5420.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
2Boisbriand Armada210010001275110000007341000100054141.0001222340071173115973834111493537792024334375.00%7185.71%1854169850.29%838173848.22%681140948.33%172793116647611574803
3Brampton Battalion42001001201732100000198121001000119270.8752034540071173115912183411149353716249257713430.77%11372.73%0854169850.29%838173848.22%681140948.33%172793116647611574803
4Bridgeport Sound Tigers311001001117-61100000065120100100512-730.50011203100711731159928341114935371073940429222.22%5260.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
5Calgary Hitman21100000880110000006511010000023-120.500814220071173115979834111493537782816328112.50%3166.67%0854169850.29%838173848.22%681140948.33%172793116647611574803
6Chicago Wolves321000001091110000005322110000056-140.667101626007117311591158341114935379239166313215.38%8275.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
7Chicoutimi Sagueneens321000001376110000008262110000055040.667131932107117311591048341114935371233533619333.33%9366.67%0854169850.29%838173848.22%681140948.33%172793116647611574803
8Drummondville Voltigeurs20100100811-31010000035-21000010056-110.250812200071173115977834111493537622115489333.33%5340.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
9Grand Rapids Griffins321000002118321100000151501100000063340.667213455007117311591078341114935371334716607457.14%8450.00%1854169850.29%838173848.22%681140948.33%172793116647611574803
10Hartford Wolf Pack531000102420421000010972321000001513280.80024406400711731159195834111493537222655011110440.00%10190.00%1854169850.29%838173848.22%681140948.33%172793116647611574803
11Hershey Bears412000101416-22110000056-120100010910-140.500142236007117311591318341114935371425618821616.25%9366.67%0854169850.29%838173848.22%681140948.33%172793116647611574803
12Lake Erie Monsters2110000012102110000006151010000069-320.5001221330071173115968834111493537882729458225.00%20100.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
13Las Vegas Wranglers2000020068-21000010034-11000010034-120.500610160071173115970834111493537842510486116.67%5180.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
14Laval Rockets311001001516-1211000008801000010078-130.500152540007117311591088341114935371334017647342.86%6350.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
15London Knights2200000017125110000008621100000096341.0001730470071173115967834111493537631419494250.00%7271.43%0854169850.29%838173848.22%681140948.33%172793116647611574803
16Lowell Devils20200000711-41010000046-21010000035-200.000713200071173115968834111493537803015405360.00%5340.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
17Manitoba Moose4210000117125211000008622100000196350.6251730470071173115915583411149353715751458713323.08%50100.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
18Milwaukee Admirals210010001358100010005411100000081741.0001325380071173115981834111493537451738528112.50%4175.00%2854169850.29%838173848.22%681140948.33%172793116647611574803
19Peoria Riverman53200000252233210000015114211000001011-160.60025436800711731159177834111493537176602312912433.33%10190.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
20Philadelphia Phantoms31200000610-42110000057-21010000013-220.333691500711731159101834111493537106322360500.00%9188.89%0854169850.29%838173848.22%681140948.33%172793116647611574803
21Portland Pirates33000000201192200000011741100000094561.000203353007117311591218341114935371164216506466.67%8537.50%0854169850.29%838173848.22%681140948.33%172793116647611574803
22Quebec Rempart211000001073110000006151010000046-220.5001016260071173115970834111493537713030529555.56%5180.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
23Rimouski Oceanic440000001468220000006242200000084481.000142438017117311591328341114935378232179516743.75%5340.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
24Rochester Americans20200000713-61010000059-41010000024-200.000711180071173115965834111493537742211448225.00%30100.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
25Seattle Thunderbirds403010001115-4201010006602020000059-420.25011182900711731159126834111493537126453083600.00%10370.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
26Sherbrooke Phoenix2110000089-11010000037-41100000052320.5008142200711731159818341114935375921425022100.00%7357.14%0854169850.29%838173848.22%681140948.33%172793116647611574803
27Texas Stars311000011012-21000000134-12110000078-130.500101525007117311599183411149353711429178410220.00%6266.67%1854169850.29%838173848.22%681140948.33%172793116647611574803
28Toronto Marlies211000007521010000024-21100000051420.50071219107117311597383411149353766204475240.00%2150.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
Total8239270562336632739412212031121861582841171502511180169111010.616366609975217117311592902834111493537299396966917782467530.49%1845769.02%6854169850.29%838173848.22%681140948.33%172793116647611574803
30Victoriaville Tigres20001100770100010003211000010045-130.7507101700711731159778341114935376215105310110.00%50100.00%0854169850.29%838173848.22%681140948.33%172793116647611574803
_Since Last GM Reset8239270562336632739412212031121861582841171502511180169111010.616366609975217117311592902834111493537299396966917782467530.49%1845769.02%6854169850.29%838173848.22%681140948.33%172793116647611574803
_Vs Conference50261701222211191202515701011110892125111000211101102-1620.620211348559117117311591755834111493537182961236110711393928.06%1083369.44%3854169850.29%838173848.22%681140948.33%172793116647611574803
_Vs Division21104000211041022115200010565331052000114849-1250.59510417628000711731159760834111493537830272188456471940.43%461469.57%2854169850.29%838173848.22%681140948.33%172793116647611574803

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82101L236660997529022993969669177821
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8239275623366327
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122123112186158
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4117152511180169
Derniers 10 Matchs
WLOTWOTL SOWSOL
350101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2467530.49%1845769.02%6
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
834111493537711731159
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
854169850.29%838173848.22%681140948.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172793116647611574803


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 - 2019-10-0515Worcester Sharks8Hartford Wolf Pack4WSommaire du Match
3 - 2019-10-0625Peoria Riverman4Worcester Sharks6WSommaire du Match
5 - 2019-10-0840Worcester Sharks4Manitoba Moose5LXXSommaire du Match
6 - 2019-10-0956Peoria Riverman6Worcester Sharks5LSommaire du Match
8 - 2019-10-1174Manitoba Moose2Worcester Sharks5WSommaire du Match
10 - 2019-10-1391Laval Rockets5Worcester Sharks3LSommaire du Match
11 - 2019-10-1498Worcester Sharks4Hershey Bears6LSommaire du Match
13 - 2019-10-16120Worcester Sharks1Chicoutimi Sagueneens3LSommaire du Match
15 - 2019-10-18133Grand Rapids Griffins8Worcester Sharks7LSommaire du Match
16 - 2019-10-19147Worcester Sharks3Peoria Riverman5LSommaire du Match
18 - 2019-10-21162Worcester Sharks5Hartford Wolf Pack3WSommaire du Match
19 - 2019-10-22173Rimouski Oceanic0Worcester Sharks3WSommaire du Match
21 - 2019-10-24190Philadelphia Phantoms2Worcester Sharks3WSommaire du Match
23 - 2019-10-26208Worcester Sharks2Chicago Wolves5LSommaire du Match
24 - 2019-10-27217Worcester Sharks4Brampton Battalion3WSommaire du Match
25 - 2019-10-28227Worcester Sharks3Rimouski Oceanic1WSommaire du Match
27 - 2019-10-30240Seattle Thunderbirds2Worcester Sharks1LSommaire du Match
28 - 2019-10-31257Worcester Sharks3Las Vegas Wranglers4LXSommaire du Match
30 - 2019-11-02268Seattle Thunderbirds4Worcester Sharks5WXSommaire du Match
31 - 2019-11-03288Peoria Riverman1Worcester Sharks4WSommaire du Match
33 - 2019-11-05304Worcester Sharks5Drummondville Voltigeurs6LXSommaire du Match
34 - 2019-11-06318Worcester Sharks1Philadelphia Phantoms3LSommaire du Match
36 - 2019-11-08326Las Vegas Wranglers4Worcester Sharks3LXSommaire du Match
38 - 2019-11-10348Hartford Wolf Pack3Worcester Sharks4WSommaire du Match
39 - 2019-11-11354Worcester Sharks4Victoriaville Tigres5LXSommaire du Match
41 - 2019-11-13377Worcester Sharks7Brampton Battalion6WXSommaire du Match
42 - 2019-11-14386Binghampton Senators4Worcester Sharks6WSommaire du Match
44 - 2019-11-16401Worcester Sharks7Binghampton Senators2WSommaire du Match
45 - 2019-11-17414Milwaukee Admirals4Worcester Sharks5WXSommaire du Match
46 - 2019-11-18429Worcester Sharks3Chicago Wolves1WSommaire du Match
48 - 2019-11-20447Chicoutimi Sagueneens2Worcester Sharks8WSommaire du Match
50 - 2019-11-22466Quebec Rempart1Worcester Sharks6WSommaire du Match
51 - 2019-11-23476Worcester Sharks2Rochester Americans4LSommaire du Match
53 - 2019-11-25498London Knights6Worcester Sharks8WSommaire du Match
54 - 2019-11-26505Worcester Sharks4Chicoutimi Sagueneens2WSommaire du Match
56 - 2019-11-28523Worcester Sharks2Calgary Hitman3LSommaire du Match
57 - 2019-11-29537Drummondville Voltigeurs5Worcester Sharks3LSommaire du Match
59 - 2019-12-01553Worcester Sharks7Laval Rockets8LXSommaire du Match
60 - 2019-12-02563Chicago Wolves3Worcester Sharks5WSommaire du Match
62 - 2019-12-04587Toronto Marlies4Worcester Sharks2LSommaire du Match
63 - 2019-12-05596Worcester Sharks7Peoria Riverman6WSommaire du Match
65 - 2019-12-07615Victoriaville Tigres2Worcester Sharks3WXSommaire du Match
67 - 2019-12-09628Worcester Sharks5Hershey Bears4WXXSommaire du Match
68 - 2019-12-10642Worcester Sharks5Sherbrooke Phoenix2WSommaire du Match
70 - 2019-12-12657Rimouski Oceanic2Worcester Sharks3WSommaire du Match
72 - 2019-12-14674Worcester Sharks5Boisbriand Armada4WXSommaire du Match
73 - 2019-12-15684Worcester Sharks6Grand Rapids Griffins3WSommaire du Match
74 - 2019-12-16692Hartford Wolf Pack4Worcester Sharks5WXXSommaire du Match
76 - 2019-12-18714Manitoba Moose4Worcester Sharks3LSommaire du Match
77 - 2019-12-19732Worcester Sharks5Manitoba Moose1WSommaire du Match
79 - 2019-12-21749Portland Pirates4Worcester Sharks6WSommaire du Match
80 - 2019-12-22756Worcester Sharks9Portland Pirates4WSommaire du Match
82 - 2019-12-24776Brampton Battalion3Worcester Sharks5WSommaire du Match
84 - 2019-12-26797Philadelphia Phantoms5Worcester Sharks2LSommaire du Match
86 - 2019-12-28813Worcester Sharks2Hartford Wolf Pack6LSommaire du Match
87 - 2019-12-29822Worcester Sharks5Rimouski Oceanic3WSommaire du Match
88 - 2019-12-30836Sherbrooke Phoenix7Worcester Sharks3LSommaire du Match
89 - 2019-12-31844Worcester Sharks3Lowell Devils5LSommaire du Match
91 - 2020-01-02864Lake Erie Monsters1Worcester Sharks6WSommaire du Match
93 - 2020-01-04880Worcester Sharks4Quebec Rempart6LSommaire du Match
94 - 2020-01-05894Laval Rockets3Worcester Sharks5WSommaire du Match
96 - 2020-01-07909Worcester Sharks9London Knights6WSommaire du Match
97 - 2020-01-08926Portland Pirates3Worcester Sharks5WSommaire du Match
100 - 2020-01-11947Worcester Sharks5Toronto Marlies1WSommaire du Match
101 - 2020-01-12958Boisbriand Armada3Worcester Sharks7WSommaire du Match
102 - 2020-01-13972Worcester Sharks6Lake Erie Monsters9LSommaire du Match
104 - 2020-01-15987Calgary Hitman5Worcester Sharks6WSommaire du Match
106 - 2020-01-171005Worcester Sharks8Milwaukee Admirals1WSommaire du Match
107 - 2020-01-181014Worcester Sharks2Bridgeport Sound Tigers8LSommaire du Match
108 - 2020-01-191019Brampton Battalion5Worcester Sharks4LXXSommaire du Match
110 - 2020-01-211042Bridgeport Sound Tigers5Worcester Sharks6WSommaire du Match
112 - 2020-01-231063Worcester Sharks0Seattle Thunderbirds3LSommaire du Match
113 - 2020-01-241072Rochester Americans9Worcester Sharks5LSommaire du Match
114 - 2020-01-251079Worcester Sharks3Bridgeport Sound Tigers4LXSommaire du Match
117 - 2020-01-281103Lowell Devils6Worcester Sharks4LSommaire du Match
118 - 2020-01-291114Worcester Sharks5Seattle Thunderbirds6LSommaire du Match
119 - 2020-01-301118Worcester Sharks5Texas Stars4WSommaire du Match
121 - 2020-02-011137Texas Stars4Worcester Sharks3LXXSommaire du Match
124 - 2020-02-041164Grand Rapids Griffins7Worcester Sharks8WSommaire du Match
128 - 2020-02-081190Hershey Bears1Worcester Sharks3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
131 - 2020-02-111210Worcester Sharks2Texas Stars4LSommaire du Match
133 - 2020-02-131228Hershey Bears5Worcester Sharks2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance65,95333,604
Assistance PCT80.43%81.96%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2428 - 80.94% 102,207$4,190,494$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,291,763$ 2,283,084$ 2,283,084$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,291,763$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 17,654$ 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
2019823927056233663273941221203112186158284117150251118016911101366609975217117311592902834111493537299396966917782467530.49%1845769.02%6854169850.29%838173848.22%681140948.33%172793116647611574803
Total Saison Régulière823927056233663273941221203112186158284117150251118016911101366609975217117311592902834111493537299396966917782467530.49%1845769.02%6854169850.29%838173848.22%681140948.33%172793116647611574803