Worchester Sharks

GP: 82 | W: 53 | L: 24 | OTL: 5 | P: 111
GF: 234 | GA: 149 | PP%: 15.31% | PK%: 88.83%
DG: Jean-Sebastien Champagne | Morale : 83 | Moyenne d'Équipe : N/A
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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
1Chris NeilXX100.0092506870855167545056555350869118400
2Lawson Crouse (R)XX100.0095507977807675705060587150706717500
3Christian ThomasXXX100.0067625967626663645059656362505018700
4Jayson MegnaXX100.0059505974725966625057586950575812000
5Michael Bournival (A)XX100.0061505972705660645055607050575818400
6Scott WilsonXX100.0094508473665770645078596550565718400
7Ryan WhiteX100.0098505974735680565060666550666718200
8Alex GrantX100.0068788168687578612560566653505017200
9Korbinian HolzerX100.0082508173776858532553557550727211900
10Dylan McIlrathX100.0057845469945964502562646050716918100
11Eric GelinasX100.0079507074855963582557556250626218400
12Jaycob MegnaX100.0069826974737377522559506550505018300
13Greg PaterynX100.0070508271777059622557567650707011600
14Joe MorrowX100.0092507073747055622550506450515118300
15Tim Heed (R)X100.0056647269646567672555576454505018300
16Ryan MurphyX100.0053506789676166582550645750606018400
Rayé
1Colby CaveX100.0067686867687368597456576254505016000
2Gabriel DumontX100.0058506870655466618055577550505114900
3Joey LaLeggiaX100.0065647370646966615055626259505017500
4Sean Kuraly (R)X100.0055766872766363587350626459505018100
5Emerson EtemXX100.0071777881815259505050506650616312000
6Ryan CraigX100.0059788867787767567050566153626312000
7Brady Vail (R)X100.0064666964665761505950505850505012000
8Petr StrakaXX100.0075696665696363525052506250505012000
9Caleb HerbertX100.0063675964675359556950596056505012000
10Ty RattieXX100.0075657871656263505050506250505012000
11Zack MitchellX100.0058506370685268596150556050505012000
12Anthony BitettoX100.0064506273775957532559556050515218000
13Bryce Aneloski (R)X100.0059736762736267502550506150505012000
MOYENNE D'ÉQUIPE100.007061707173636558455557645257571560
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
1Nick Ellis (R)100.007174797370716570706931686618300
2Laurent Brossoit100.006473798067706669696931706917300
Rayé
1Jon Gillies100.006470678668676468676831646512600
2Matt Hackett100.005566606863646362646331606312000
MOYENNE D'ÉQUIPE100.00647171776768656768673166661510
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher82637277716972CAN456100,000$


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
1Scott WilsonWorchester Sharks (San)C/LW822033531576010718918752210.70%12160819.621014245436102262881053.31%126800010.6635000445
2Christian ThomasWorchester Sharks (San)C/LW/RW8222254719402069118185113911.89%9149618.25811195232201121900152.01%69800010.6300202336
3Dale WeiseSan Jose SharksC/LW4711304130675116123120029.17%7101721.66111122118522472801154.91%105800010.8102100452
4Joe MorrowWorchester Sharks (San)D82112940221995269559731011.34%78169020.6261016603230111327300.00%000000.4700010334
5Ryan WhiteWorchester Sharks (San)LW8017223961315124681440011.81%697012.1498173818810141071356.92%6500010.8011001401
6Lawson CrouseWorchester Sharks (San)LW/RW611226382118021014414218258.45%19144023.61513183528020263352060.38%10600000.5324000252
7Michael BournivalWorchester Sharks (San)LW/RW8214243825320391101569168.97%1594811.570001150110513059.49%7900000.8000000133
8Kevin LabancSan Jose SharksLW/RW531126371000110811111309.91%582215.51358221070004672050.24%62300000.9011000342
9Eric GelinasWorchester Sharks (San)D827303729141518053748229.46%79184022.4551419483501341379110.00%000000.4000000101
10Charles HudonSan Jose SharksLW82201737261151268127183115.75%5118314.435510181590001886348.15%24300000.6300001383
11Adam ErneSan Jose SharksC/LW/RW8217173435115513791152142811.18%8125915.351121515000021245052.46%69000000.5400001353
12Alex GrantWorchester Sharks (San)D651221331577356258840114.29%60134420.6891120592570112331300.00%000000.4900115313
13Jaycob MegnaWorchester Sharks (San)D8262531311252513148823177.32%96173321.1441014513770112425400.00%000000.3600320032
14Ryan MurphyWorchester Sharks (San)D8262228854066445082012.00%43111113.5613419870002182100.00%000000.5000000102
15Anthony BeauvillierSan Jose SharksC/LW/RW1210112112601837450022.22%429724.772357490112752056.77%42100011.4101000400
16Chris NeilWorchester Sharks (San)LW/RW8251318690012948941105.32%5130915.96268243000002642048.24%8500000.2813000111
17Tim HeedWorchester Sharks (San)D82313161240102732281510.71%407639.31000260000164000.00%000000.4200011010
18Dylan McIlrathWorchester Sharks (San)D78213152511525912822149.09%2798712.65022592000288100.00%000000.3000212102
19Colby CaveWorchester Sharks (San)C5556114206243441414.71%65169.403251714110131423060.98%16400000.4300000011
20Sean KuralyWorchester Sharks (San)C8083111055454612513.11%23984.9800003000122060.42%33100000.5500010112
21Anthony BitettoWorchester Sharks (San)D701675380371122334.55%193935.620221169000043100.00%000000.3600000001
22Gabriel DumontWorchester Sharks (San)C472020001550140.00%0300.6500018000021052.94%1700001.3000000000
23Joey LaLeggiaWorchester Sharks (San)LW651012204570014.29%0981.51000534000010048.72%3900000.2000000000
24Korbinian HolzerWorchester Sharks (San)D2000000040000.00%02814.430000800008000.00%000000.0000000000
25Emerson EtemWorchester Sharks (San)LW/RW1000-100100000.00%022.900000000000000.00%000000.0000000000
26Ryan CraigWorchester Sharks (San)C2000-100041000.00%02914.6700000000000075.76%3300000.0000000000
27Jayson MegnaWorchester Sharks (San)C/LW1000000000000.00%000.900000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1621223412635347148415018411529203012030510.99%5452332214.397413120556538817132050377845953.93%592100050.548179713424846
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
1Nick EllisWorchester Sharks (San)79522250.9161.80473801014216940100.882177921054
2Laurent BrossoitWorchester Sharks (San)41200.9191.94216007860000.0000365001
Stats d'équipe Total ou en Moyenne83532450.9161.80495501014917800100.8821782671055


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alex GrantWorchester Sharks (San)D271989-01-19No205 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Anthony BitettoWorchester Sharks (San)D261990-07-14No210 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Brady VailWorchester Sharks (San)C221994-03-10Yes185 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Bryce AneloskiWorchester Sharks (San)D261990-04-27Yes198 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Caleb HerbertWorchester Sharks (San)LW251991-10-12No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Chris NeilWorchester Sharks (San)LW/RW371979-06-18No215 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm400,000$0$0$No
Christian ThomasWorchester Sharks (San)C/LW/RW241992-05-25No176 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Colby CaveWorchester Sharks (San)C221994-12-26No189 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Dylan McIlrathWorchester Sharks (San)D241992-04-19No220 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Emerson EtemWorchester Sharks (San)LW/RW241992-06-15No212 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Eric GelinasWorchester Sharks (San)D251991-05-08No215 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Gabriel DumontWorchester Sharks (San)C261990-10-05No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Greg PaterynWorchester Sharks (San)D261990-06-19No222 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Jaycob MegnaWorchester Sharks (San)D241992-12-10No218 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Jayson MegnaWorchester Sharks (San)C/LW261990-01-31No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Joe MorrowWorchester Sharks (San)D241992-12-09No204 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Joey LaLeggiaWorchester Sharks (San)LW241992-06-24No183 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Jon GilliesWorchester Sharks (San)G221994-01-21No216 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Korbinian HolzerWorchester Sharks (San)D281988-02-16No205 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Laurent BrossoitWorchester Sharks (San)G231993-03-22No202 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Lawson CrouseWorchester Sharks (San)LW/RW191997-06-23Yes210 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Matt HackettWorchester Sharks (San)G261990-03-07No171 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Michael BournivalWorchester Sharks (San)LW/RW241992-05-31No195 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Nick EllisWorchester Sharks (San)G221994-01-17Yes180 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Petr StrakaWorchester Sharks (San)C/LW241992-06-14No185 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan CraigWorchester Sharks (San)C351982-01-05No215 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Ryan MurphyWorchester Sharks (San)D231993-03-31No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Ryan WhiteWorchester Sharks (San)LW281988-03-16No201 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Scott WilsonWorchester Sharks (San)C/LW241992-04-24No183 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Sean KuralyWorchester Sharks (San)C231993-01-20Yes205 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Tim HeedWorchester Sharks (San)D251991-01-27Yes176 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Ty RattieWorchester Sharks (San)C/LW231993-02-05No178 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Zack MitchellWorchester Sharks (San)LW241993-01-06No185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3325.00197 Lbs6 ft12.42424,242$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseChristian Thomas40122
2Scott WilsonChris Neil30122
3Michael Bournival20122
4Lawson Crouse10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Eric GelinasJaycob Megna40122
2Joe MorrowDylan McIlrath30122
3Eric GelinasRyan Murphy20122
4Tim HeedEric Gelinas10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseChristian Thomas60122
2Scott WilsonChris Neil40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Eric GelinasJaycob Megna60122
2Joe MorrowRyan Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Christian ThomasLawson Crouse60122
2Scott Wilson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Eric GelinasJaycob Megna60122
2Joe MorrowTim Heed40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Scott Wilson60122Eric GelinasJaycob Megna60122
2Lawson Crouse40122Joe MorrowTim Heed40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Christian ThomasLawson Crouse60122
2Scott Wilson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Eric GelinasJaycob Megna60122
2Joe MorrowRyan Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseScott WilsonChristian ThomasEric GelinasJaycob Megna
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseScott WilsonChristian ThomasEric GelinasJaycob Megna
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lawson Crouse, Scott Wilson, Lawson Crouse, Scott WilsonLawson Crouse
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Eric Gelinas, Ryan Murphy, Tim HeedEric GelinasRyan Murphy, Tim Heed
Tirs de Pénalité
Chris Neil, Lawson Crouse, Scott Wilson, , Christian Thomas
Gardien
#1 : Nick Ellis, #2 : Laurent Brossoit


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
1Abbotsford Heat22000000927110000004131100000051441.0009152400838460104470868368633271021451300.00%70100.00%11391249255.82%1342249953.70%625115354.21%222915811752585981516
2Adirondack Phantoms5120011079-24120010047-31000001032150.5007101701838460109770868368633128401131153837.89%45491.11%01391249255.82%1342249953.70%625115354.21%222915811752585981516
3Albany Devils310011005411000010023-12100100031250.833581301838460104870868368633612652671616.25%21290.48%01391249255.82%1342249953.70%625115354.21%222915811752585981516
4Binghampton Senateurs44000000187111100000062433000000125781.00018355300838460101117086836863311022708418422.22%35488.57%01391249255.82%1342249953.70%625115354.21%222915811752585981516
5Bridgeport Sound Tigers32100000844211000004311100000041340.66781321008384601081708683686335114505231825.81%25292.00%01391249255.82%1342249953.70%625115354.21%222915811752585981516
6Charlotte Checkers220000001019110000004131100000060641.00010203001838460108470868368633241022526116.67%9188.89%01391249255.82%1342249953.70%625115354.21%222915811752585981516
7Chicago Wolves31200000880211000007431010000014-320.33381422008384601094708683686337530586316318.75%23578.26%01391249255.82%1342249953.70%625115354.21%222915811752585981516
8Connecticut Whale3300000015312220000009271100000061561.0001528430083846010129708683686335514307315426.67%15286.67%11391249255.82%1342249953.70%625115354.21%222915811752585981516
9Grand Rapids Griffins220000001358110000008261100000053241.0001323360083846010537086836863336925469222.22%10190.00%01391249255.82%1342249953.70%625115354.21%222915811752585981516
10Hamilton Bulldogs31100010761110000001012010001066040.66771118018384601058708683686336417596722313.64%21480.95%01391249255.82%1342249953.70%625115354.21%222915811752585981516
11Hershey Bears42100010963110000003213110001064260.75091423018384601094708683686338424749223417.39%21195.24%01391249255.82%1342249953.70%625115354.21%222915811752585981516
12Houston Aeros22000000945110000004221100000052341.0009172600838460106370868368633441324525240.00%11281.82%11391249255.82%1342249953.70%625115354.21%222915811752585981516
13Lake Erie Monsters330000001358220000007341100000062461.000132538008384601097708683686334514578410330.00%25196.00%01391249255.82%1342249953.70%625115354.21%222915811752585981516
14Manchester Monarchs330000001511422000000130131100000021161.0001526410283846010118708683686335112347614428.57%16193.75%21391249255.82%1342249953.70%625115354.21%222915811752585981516
15Milwaukee Admirals3120000036-31010000012-12110000024-220.33335800838460105970868368633551950731218.33%24387.50%01391249255.82%1342249953.70%625115354.21%222915811752585981516
16Norfolk Admirals3300000014311110000005142200000092761.0001427410183846010120708683686335518166217211.76%70100.00%11391249255.82%1342249953.70%625115354.21%222915811752585981516
17Oklahoma City Barons211000004311010000001-11100000042220.5004610008384601035708683686335012404613215.38%200100.00%11391249255.82%1342249953.70%625115354.21%222915811752585981516
18Peoria Rivermen2010001035-2100000102111010000014-320.50034700838460104970868368633682250389111.11%23291.30%01391249255.82%1342249953.70%625115354.21%222915811752585981516
19Portland Pirates41200100912-31010000012-131100100810-230.375917260083846010787086836863311633778119315.79%35585.71%01391249255.82%1342249953.70%625115354.21%222915811752585981516
20Providence Bruins3120000024-2110000002112020000003-320.33324600838460105970868368633562765802200.00%30390.00%01391249255.82%1342249953.70%625115354.21%222915811752585981516
21Rochester Americans2020000017-61010000004-41010000013-200.00011200838460102970868368633621732441317.69%14285.71%01391249255.82%1342249953.70%625115354.21%222915811752585981516
22Rockford IceHogs2010010036-31000010023-11010000013-210.250358008384601049708683686335521424112216.67%20290.00%01391249255.82%1342249953.70%625115354.21%222915811752585981516
23San Antonio Rampage21100000550110000004311010000012-120.5005101500838460103270868368633397383118211.11%9366.67%01391249255.82%1342249953.70%625115354.21%222915811752585981516
24Springfield Falcons3110010078-1211000006601000010012-130.50071421008384601081708683686336821606224312.50%24483.33%11391249255.82%1342249953.70%625115354.21%222915811752585981516
25St-John Ice Caps3120000056-1211000004311010000013-220.333591401838460107470868368633592357682200.00%24483.33%01391249255.82%1342249953.70%625115354.21%222915811752585981516
26Syracuse Crunch310010101073200010107521100000032161.000101525008384601062708683686337522787324520.83%24387.50%01391249255.82%1342249953.70%625115354.21%222915811752585981516
27Texas Stars2020000035-21010000023-11010000012-100.000369008384601037708683686334516673916318.75%19478.95%01391249255.82%1342249953.70%625115354.21%222915811752585981516
28Toronto Marlies22000000936110000003121100000062441.0009182700838460108870868368633381218478450.00%90100.00%01391249255.82%1342249953.70%625115354.21%222915811752585981516
Total82462402550234149854124110132011970494122130123011579361110.677234417651010838460102092708683686331780550148618434907515.31%6006788.83%81391249255.82%1342249953.70%625115354.21%222915811752585981516
30Wilkes-Barre Penguins440000001046220000004222200000062481.0001017270183846010697086836863384251079025416.00%34294.12%01391249255.82%1342249953.70%625115354.21%222915811752585981516
_Since Last GM Reset82462402550234149854124110132011970494122130123011579361110.677234417651010838460102092708683686331780550148618434907515.31%6006788.83%81391249255.82%1342249953.70%625115354.21%222915811752585981516
_Vs Conference48281102430134785624146012107039312414501220643925700.7291342373710883846010122170868368633105332188310753084514.61%3563789.61%51391249255.82%1342249953.70%625115354.21%222915811752585981516

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82111SOW12344176512092178055014861843010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8246242550234149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412411132011970
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412213123011579
Derniers 10 Matchs
WLOTWOTL SOWSOL
350020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4907515.31%6006788.83%8
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
7086836863383846010
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
1391249255.82%1342249953.70%625115354.21%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
222915811752585981516


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 - 2017-10-028Adirondack Phantoms3Worchester Sharks0LSommaire du Match
4 - 2017-10-0415Worchester Sharks4Binghampton Senateurs1WSommaire du Match
5 - 2017-10-0531Worchester Sharks2Hershey Bears0WSommaire du Match
7 - 2017-10-0742Worchester Sharks1Portland Pirates4LSommaire du Match
10 - 2017-10-1056Chicago Wolves2Worchester Sharks6WSommaire du Match
14 - 2017-10-1480Adirondack Phantoms0Worchester Sharks2WSommaire du Match
16 - 2017-10-16100Syracuse Crunch3Worchester Sharks4WXSommaire du Match
18 - 2017-10-18124Worchester Sharks4Hamilton Bulldogs3WXXSommaire du Match
19 - 2017-10-19135Connecticut Whale1Worchester Sharks5WSommaire du Match
22 - 2017-10-22156Manchester Monarchs0Worchester Sharks7WSommaire du Match
23 - 2017-10-23166Worchester Sharks5Binghampton Senateurs2WSommaire du Match
26 - 2017-10-26184Wilkes-Barre Penguins2Worchester Sharks3WSommaire du Match
29 - 2017-10-29196Worchester Sharks1Hershey Bears2LSommaire du Match
31 - 2017-10-31214Worchester Sharks0Providence Bruins1LSommaire du Match
32 - 2017-11-01226Springfield Falcons2Worchester Sharks1LSommaire du Match
34 - 2017-11-03247Hershey Bears2Worchester Sharks3WSommaire du Match
35 - 2017-11-04253Worchester Sharks6Connecticut Whale1WSommaire du Match
37 - 2017-11-06269Worchester Sharks1Rochester Americans3LSommaire du Match
39 - 2017-11-08281Binghampton Senateurs2Worchester Sharks6WSommaire du Match
40 - 2017-11-09300Worchester Sharks5Houston Aeros2WSommaire du Match
42 - 2017-11-11310Portland Pirates2Worchester Sharks1LSommaire du Match
44 - 2017-11-13331Worchester Sharks1Texas Stars2LSommaire du Match
45 - 2017-11-14344Worchester Sharks2Hamilton Bulldogs3LSommaire du Match
46 - 2017-11-15352Oklahoma City Barons1Worchester Sharks0LSommaire du Match
49 - 2017-11-18371Peoria Rivermen1Worchester Sharks2WXXSommaire du Match
51 - 2017-11-20387Worchester Sharks1Peoria Rivermen4LSommaire du Match
53 - 2017-11-22398Worchester Sharks0Providence Bruins2LSommaire du Match
54 - 2017-11-23409Norfolk Admirals1Worchester Sharks5WSommaire du Match
57 - 2017-11-26429Charlotte Checkers1Worchester Sharks4WSommaire du Match
58 - 2017-11-27448Worchester Sharks3Wilkes-Barre Penguins1WSommaire du Match
60 - 2017-11-29451Worchester Sharks6Charlotte Checkers0WSommaire du Match
61 - 2017-11-30466Bridgeport Sound Tigers2Worchester Sharks1LSommaire du Match
63 - 2017-12-02488Worchester Sharks6Lake Erie Monsters2WSommaire du Match
64 - 2017-12-03499Providence Bruins1Worchester Sharks2WSommaire du Match
69 - 2017-12-08522Worchester Sharks6Toronto Marlies2WSommaire du Match
70 - 2017-12-09531Wilkes-Barre Penguins0Worchester Sharks1WSommaire du Match
72 - 2017-12-11550Houston Aeros2Worchester Sharks4WSommaire du Match
74 - 2017-12-13564Worchester Sharks5Grand Rapids Griffins3WSommaire du Match
76 - 2017-12-15577Worchester Sharks3Wilkes-Barre Penguins1WSommaire du Match
77 - 2017-12-16585Worchester Sharks4Portland Pirates5LXSommaire du Match
79 - 2017-12-18593St-John Ice Caps3Worchester Sharks2LSommaire du Match
81 - 2017-12-20614Worchester Sharks5Abbotsford Heat1WSommaire du Match
85 - 2017-12-24624Bridgeport Sound Tigers1Worchester Sharks3WSommaire du Match
88 - 2017-12-27644Worchester Sharks4Oklahoma City Barons2WSommaire du Match
89 - 2017-12-28652St-John Ice Caps0Worchester Sharks2WSommaire du Match
91 - 2017-12-30674Worchester Sharks2Milwaukee Admirals1WSommaire du Match
93 - 2018-01-01684Connecticut Whale1Worchester Sharks4WSommaire du Match
95 - 2018-01-03704Worchester Sharks3Syracuse Crunch2WSommaire du Match
96 - 2018-01-04713San Antonio Rampage3Worchester Sharks4WSommaire du Match
100 - 2018-01-08735Adirondack Phantoms2Worchester Sharks1LXSommaire du Match
102 - 2018-01-10749Worchester Sharks1Chicago Wolves4LSommaire du Match
104 - 2018-01-12766Worchester Sharks1Rockford IceHogs3LSommaire du Match
105 - 2018-01-13772Toronto Marlies1Worchester Sharks3WSommaire du Match
106 - 2018-01-14787Worchester Sharks2Norfolk Admirals0WSommaire du Match
108 - 2018-01-16803Rockford IceHogs3Worchester Sharks2LXSommaire du Match
111 - 2018-01-19821Worchester Sharks3Portland Pirates1WSommaire du Match
112 - 2018-01-20831Texas Stars3Worchester Sharks2LSommaire du Match
114 - 2018-01-22845Worchester Sharks2Manchester Monarchs1WSommaire du Match
115 - 2018-01-23855Worchester Sharks3Binghampton Senateurs2WSommaire du Match
116 - 2018-01-24868Albany Devils3Worchester Sharks2LXSommaire du Match
118 - 2018-01-26885Worchester Sharks4Bridgeport Sound Tigers1WSommaire du Match
120 - 2018-01-28894Hamilton Bulldogs0Worchester Sharks1WSommaire du Match
122 - 2018-01-30916Worchester Sharks1Springfield Falcons2LXSommaire du Match
123 - 2018-01-31925Springfield Falcons4Worchester Sharks5WSommaire du Match
125 - 2018-02-02946Worchester Sharks7Norfolk Admirals2WSommaire du Match
126 - 2018-02-03955Adirondack Phantoms2Worchester Sharks1LSommaire du Match
131 - 2018-02-08972Worchester Sharks2Albany Devils1WXSommaire du Match
132 - 2018-02-09986Manchester Monarchs0Worchester Sharks6WSommaire du Match
134 - 2018-02-11999Worchester Sharks1St-John Ice Caps3LSommaire du Match
137 - 2018-02-141009Worchester Sharks3Hershey Bears2WXXSommaire du Match
138 - 2018-02-151020Grand Rapids Griffins2Worchester Sharks8WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
141 - 2018-02-181044Abbotsford Heat1Worchester Sharks4WSommaire du Match
142 - 2018-02-191053Worchester Sharks1Albany Devils0WSommaire du Match
144 - 2018-02-211067Worchester Sharks0Milwaukee Admirals3LSommaire du Match
145 - 2018-02-221078Chicago Wolves2Worchester Sharks1LSommaire du Match
146 - 2018-02-231087Worchester Sharks1San Antonio Rampage2LSommaire du Match
149 - 2018-02-261109Lake Erie Monsters2Worchester Sharks3WSommaire du Match
154 - 2018-03-031139Rochester Americans4Worchester Sharks0LSommaire du Match
156 - 2018-03-051161Milwaukee Admirals2Worchester Sharks1LSommaire du Match
158 - 2018-03-071168Worchester Sharks3Adirondack Phantoms2WXXSommaire du Match
162 - 2018-03-111195Lake Erie Monsters1Worchester Sharks4WSommaire du Match
167 - 2018-03-161221Syracuse Crunch2Worchester Sharks3WXXSommaire 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
251,712$ 140,000$ 88,050$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 151,714$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 1,420$ 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
128246240255023414985412411013201197049412213012301157936111234417651010838460102092708683686331780550148618434907515.31%6006788.83%81391249255.82%1342249953.70%625115354.21%222915811752585981516
Total Saison Régulière8246240255023414985412411013201197049412213012301157936111234417651010838460102092708683686331780550148618434907515.31%6006788.83%81391249255.82%1342249953.70%625115354.21%222915811752585981516