Connexion

Worcester Sharks
GP: 11 | W: 11 | L: 0 | OTL: 0 | P: 22
GF: 32 | GA: 5 | PP%: 14.29% | PK%: 97.14%
DG: Russ | Morale : 1 | Moyenne d’équipe : 74
Prochains matchs #70 vs Charlotte Checkers
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Centre de jeu
Toronto Marlies
4-2-5, 13pts
0
FINAL
1 Worcester Sharks
11-0-0, 22pts
Team Stats
W1SéquenceW1
3-1-1Fiche domicile5-0-0
1-1-4Fiche domicile6-0-0
4-1-5Derniers 10 matchs10-0-0
0.91Buts par match 2.91
1.00Buts contre par match 0.45
0.00%Pourcentage en avantage numérique14.29%
97.50%Pourcentage en désavantage numérique97.14%
Worcester Sharks
11-0-0, 22pts
1
FINAL
0 Manitoba Moose
8-2-1, 17pts
Team Stats
W1SéquenceL1
5-0-0Fiche domicile4-1-1
6-0-0Fiche domicile4-1-0
10-0-0Derniers 10 matchs8-1-1
2.91Buts par match 1.45
0.45Buts contre par match 0.55
14.29%Pourcentage en avantage numérique2.86%
97.14%Pourcentage en désavantage numérique96.15%
Charlotte Checkers
0-11-0, 0pts
2024-11-20
Worcester Sharks
11-0-0, 22pts
Statistiques d’équipe
L11SéquenceW1
0-6-0Fiche domicile5-0-0
0-5-0Fiche visiteur6-0-0
0-10-010 derniers matchs10-0-0
0.36Buts par match 2.91
5.55Buts contre par match 2.91
0.00%Pourcentage en avantage numérique14.29%
46.67%Pourcentage en désavantage numérique97.14%
Grand Rapids Griffins
6-2-3, 15pts
2024-11-22
Worcester Sharks
11-0-0, 22pts
Statistiques d’équipe
L1SéquenceW1
2-1-3Fiche domicile5-0-0
4-1-0Fiche visiteur6-0-0
5-2-310 derniers matchs10-0-0
2.55Buts par match 2.91
1.00Buts contre par match 2.91
3.70%Pourcentage en avantage numérique14.29%
100.00%Pourcentage en désavantage numérique97.14%
Worcester Sharks
11-0-0, 22pts
2024-11-25
Manitoba Moose
8-2-1, 17pts
Statistiques d’équipe
W1SéquenceL1
5-0-0Fiche domicile4-1-1
6-0-0Fiche visiteur4-1-0
10-0-010 derniers matchs8-1-1
2.91Buts par match 1.45
0.45Buts contre par match 1.45
14.29%Pourcentage en avantage numérique2.86%
97.14%Pourcentage en désavantage numérique96.15%
Meneurs d'équipe
Buts
Logan Couture
8
Passes
Charlie Coyle
8
Points
Charlie Coyle
13
Plus/Moins
Charlie Coyle
11
Victoires
Antero Niittymaki
11
Pourcentage d’arrêts
Antero Niittymaki
0.967

Statistiques d’équipe
Buts pour
32
2.91 GFG
Tirs pour
156
14.18 Avg
Pourcentage en avantage numérique
14.3%
3 GF
Début de zone offensive
33.5%
Buts contre
5
0.45 GAA
Tirs contre
153
13.91 Avg
Pourcentage en désavantage numérique
97.1%%
1 GA
Début de la zone défensive
35.0%
Informations de l'équipe

Directeur généralRuss
EntraîneurMarc Crawford
DivisionPacific
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 250
Espoirs32


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 SPÂgeContratSalaire
1Nick Foligno0X100.0089878691909494967283797979757887877822221,200,000$
2Craig Adams0X100.009999868885999986797567886795888787772321550,000$
3David Clarkson0X100.009992578387888895718486788681818787772251750,000$
4Jamal Mayers0X100.008694568694969689907770827099918787762351600,000$
5Charlie Coyle (R)0X100.00939459879982827782928287472757387740243750,000$
6Jamie McGinn0X100.009174918185919191727080808073788787742211996,667$
7Logan Couture (R)0X100.0079769983858080918576817981716987877422021,241,667$
8Torrey Mitchell0X100.0085949495838383797677698369797887877422421,366,667$
9Matt D'Agostini0X100.008197929086818182886970757077768787712231550,000$
10Benn Ferriero (R)0X100.007975998080767683887473797375718787702221500,000$
11Mark Fistric0X100.009998838099909082677869866977768787772231750,000$
12Andrew MacDonald (R)0X100.008174969183797978677769946977778787762231550,000$
13Andrej Sekera0X100.0083779988858282836778798079777787877522311,000,000$
14Derek Joslin (R)0X100.007775958891757580677667816775758787732221500,000$
15Jay Leach0X100.008199917397737372676971847191868787722301500,000$
16Taylor Chorney (R)0X100.008275999179737368677267866775748787722222942,000$
Rayé
1Frazer McLaren (R)0X100.008998507699797989677970787075748787722221543,333$
2Nick Bonino (R)0X100.007474958079737385787273777373738787702211757,392$
3Eric Tangradi (R)0X100.008679998697626267676767766771768787672202750,000$
4Petr Kalus (R)0X100.008078999287636367676767766775758787672221500,000$
5John McCarthy (R)0X100.007578998685636367676767766777808787662231550,000$
6Steven Zalewski (R)0X100.007278999183636367726767766777738787662231500,000$
7Justin Falk (R)0X100.007979997595636367676767786773708787672211741,667$
MOYENNE D’ÉQUIPE100.00848588858879798073747281717676838772
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 SPÂgeContratSalaire
1Antero Niittymaki0100.009798879798969698989597979527879223022,000,000$
2Thomas Greiss (R)0100.00887997979294949394939387796787872241500,000$
Rayé
MOYENNE D’ÉQUIPE100.0093899297959595969694959287478790
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Crawford92738189918770CAN5021,956,000$


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
1Charlie CoyleWorcester Sharks (San)C115813111201410166931.25%323020.950330190000352054.17%1441112001.1300000122
2David ClarksonWorcester Sharks (San)RW11661271401322571524.00%216815.29213418000003080.00%5154001.4302000220
3Logan CoutureWorcester Sharks (San)C11819700242391534.78%121719.740000160001262058.70%92175100.8300000211
4Torrey MitchellWorcester Sharks (San)C113368207583537.50%015814.4500000000041156.36%5593000.7500000110
5Tyler EnnisSharksLW624630031111518.18%113322.19112390000160033.33%372000.9000000011
6Andrej SekeraWorcester Sharks (San)D111458207473114.29%523321.19011116000027000%01310000.4300000002
7Jamie McGinnWorcester Sharks (San)LW1123560011917141811.76%423621.540001170001311066.67%974000.4200000011
8Nick FolignoWorcester Sharks (San)LW522432012103520.00%111723.56000060000130033.33%3193000.6802000100
9Jamal MayersWorcester Sharks (San)RW1103310160953330%215514.1200000000000040.00%546000.3911000001
10Jason DemersSharksD61236003446725.00%415325.57000111000021000%0910000.3900000010
11Matt D'AgostiniWorcester Sharks (San)RW11033460627020%312411.33000000000000100.00%184000.4800000000
12Andrew MacDonaldWorcester Sharks (San)D11022700796120%628125.56000219000040000%0119000.1400000000
13Craig AdamsWorcester Sharks (San)RW110225801047350%216615.140003180000000100.00%349000.2422000000
14Taylor ChorneyWorcester Sharks (San)D11022700262220%319117.380000200005000%009000.2100000000
15Derek JoslinWorcester Sharks (San)D11011900545310%624822.60000016000029000%0216000.0800000000
16Jay LeachWorcester Sharks (San)D11011820461210%218616.970000100006000%1013000.1100000000
17Benn FerrieroWorcester Sharks (San)C11000320223310%112111.0900000000000060.71%281200000000000
18Mark FistricWorcester Sharks (San)D5000340321210%313426.9800009000017000%01400000000000
Statistiques d’équipe totales ou en moyenne17630477711570010981156719819.23%49326018.523691518300022779156.73%349128135100.4737000798
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
1Antero NiittymakiWorcester Sharks (San)1111000.9670.4567006515385000.8577110312
Statistiques d’équipe totales ou en moyenne1111000.9670.4567006515385007110312


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrej SekeraWorcester Sharks (San)D232001-11-03SVKNo197 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm1,000,000$789,474$0$0$No---------------------------
Andrew MacDonaldWorcester Sharks (San)D232001-11-03CANYes188 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm550,000$434,211$0$0$No---------------------------
Antero NiittymakiWorcester Sharks (San)G301994-11-03FINNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$1,578,947$0$0$No2,000,000$-----------------No--------
Benn FerrieroWorcester Sharks (San)C222002-11-03USAYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Charlie CoyleWorcester Sharks (San)C242000-10-07NAYes218 Lbs5 ft3NoNoProspectNoNo32024-10-09FalseFalsePro & Farm750,000$592,105$0$0$No750,000$750,000$----------------NoNo-------
Craig AdamsWorcester Sharks (San)RW321992-11-03BRNNo197 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm550,000$434,211$0$0$No---------------------------
David ClarksonWorcester Sharks (San)RW251999-11-03CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Derek JoslinWorcester Sharks (San)D222002-11-03CANYes210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Eric TangradiWorcester Sharks (San)LW202004-11-03USAYes221 Lbs6 ft4NoNoAssign ManuallyNoNo22024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No750,000$-----------------No--------
Frazer McLarenWorcester Sharks (San)LW222002-11-03CANYes235 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm543,333$428,947$0$0$No---------------------------
Jamal MayersWorcester Sharks (San)RW351989-11-03CANNo217 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$473,684$0$0$No---------------------------
Jamie McGinnWorcester Sharks (San)LW212003-11-03CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm996,667$786,842$0$0$No---------------------------
Jay LeachWorcester Sharks (San)D301994-11-03USANo220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
John McCarthyWorcester Sharks (San)LW232001-11-03USAYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm550,000$434,211$0$0$No---------------------------
Justin FalkWorcester Sharks (San)D212003-11-03CANYes215 Lbs6 ft5NoNoAssign ManuallyNoNo1FalseFalsePro & Farm741,667$585,527$0$0$No---------------------------
Logan CoutureWorcester Sharks (San)C202004-11-03CANYes195 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,241,667$980,263$0$0$No1,241,667$-----------------No--------
Mark FistricWorcester Sharks (San)D232001-11-03CANNo234 Lbs6 ft3NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Matt D'AgostiniWorcester Sharks (San)RW232001-11-03CANNo198 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm550,000$434,211$0$0$No---------------------------
Nick BoninoWorcester Sharks (San)C212003-11-03USAYes180 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm757,392$597,941$0$0$No---------------------------
Nick FolignoWorcester Sharks (San)LW222002-11-03USANo209 Lbs6 ft0NoNoAssign ManuallyNoNo2FalseFalsePro & Farm1,200,000$947,368$0$0$No1,200,000$-----------------No--------
Petr KalusWorcester Sharks (San)RW222002-11-03CZEYes201 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Steven ZalewskiWorcester Sharks (San)C232001-11-03USAYes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Taylor ChorneyWorcester Sharks (San)D222002-11-03CANYes182 Lbs5 ft11NoNoAssign ManuallyNoNo2FalseFalsePro & Farm942,000$743,684$0$0$No942,000$-----------------No--------
Thomas GreissWorcester Sharks (San)G242000-11-03DEUYes210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Torrey MitchellWorcester Sharks (San)C242000-11-03CANNo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,366,667$1,078,948$0$0$No1,366,667$-----------------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.88203 Lbs6 ft11.32783,576$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick FolignoCharlie CoyleCraig Adams40122
2Jamie McGinnLogan CoutureDavid Clarkson30122
3Jamie McGinnTorrey MitchellJamal Mayers20122
4Nick FolignoBenn FerrieroMatt D'Agostini10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FistricAndrew MacDonald40122
2Andrej SekeraDerek Joslin30122
3Jay LeachTaylor Chorney20122
4Mark FistricAndrew MacDonald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick FolignoCharlie CoyleCraig Adams60122
2Jamie McGinnLogan CoutureDavid Clarkson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FistricAndrew MacDonald60122
2Andrej SekeraDerek Joslin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charlie CoyleNick Foligno60122
2Logan CoutureJamie McGinn40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FistricAndrew MacDonald60122
2Andrej SekeraDerek Joslin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charlie Coyle60122Mark FistricAndrew MacDonald60122
2Logan Couture40122Andrej SekeraDerek Joslin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charlie CoyleNick Foligno60122
2Logan CoutureJamie McGinn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FistricAndrew MacDonald60122
2Andrej SekeraDerek Joslin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick FolignoCharlie CoyleCraig AdamsMark FistricAndrew MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick FolignoCharlie CoyleCraig AdamsMark FistricAndrew MacDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie McGinn, Charlie Coyle, Logan CoutureJamie McGinn, Charlie CoyleJamie McGinn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Derek Joslin, Jay Leach, Taylor ChorneyDerek JoslinDerek Joslin, Jay Leach
Tirs de pénalité
Nick Foligno, Craig Adams, David Clarkson, Jamal Mayers, Jamie McGinn
Gardien
#1 : Antero Niittymaki, #2 : Thomas Greiss, #3 : 0


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
TotalDomicileVisiteur
# 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
1Adirondack Phantoms22000000303110000001011100000020241.0003690211316329355267929312247114.29%60100.00%07311762.39%7212259.02%5311048.18%2351422618117294
2Charlotte Checkers44000000192172200000010192200000091881.00019315002113163583552679392016357228.57%80100.00%07311762.39%7212259.02%5311048.18%2351422618117294
3Lake Erie Monsters22000000624110000004131100000021141.0006713001131632535526793641816300.00%9188.89%07311762.39%7212259.02%5311048.18%2351422618117294
4Manitoba Moose11000000101000000000001100000010121.00012301113163133552679154109100.00%50100.00%07311762.39%7212259.02%5311048.18%2351422618117294
5Toronto Marlies20000020312100000101011000001021141.0003140111316331355267934181425300.00%70100.00%07311762.39%7212259.02%5311048.18%2351422618117294
Total1190000203252754000010162146500001016313221.000324779061131631563552679153497010921314.29%35197.14%07311762.39%7212259.02%5311048.18%2351422618117294
_Since Last GM Reset1190000203252754000010162146500001016313221.000324779061131631563552679153497010921314.29%35197.14%07311762.39%7212259.02%5311048.18%2351422618117294
_Vs Conference33000000725110000004132200000031261.0007916011131633835526795182825400.00%14192.86%07311762.39%7212259.02%5311048.18%2351422618117294
_Vs Division10000000101000000000001000000010100.00012301113163133552679154109100.00%50100.00%07311762.39%7212259.02%5311048.18%2351422618117294

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1122W1324779156153497010906
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
11900020325
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5400010162
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
6500010163
Derniers 10 matchs
WLOTWOTL SOWSOL
800020
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21314.29%35197.14%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
3552679113163
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
7311762.39%7212259.02%5311048.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2351422618117294


Derniers matchs 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 - 2024-11-053Lake Erie Monsters1Worcester Sharks4WSommaire du match
4 - 2024-11-0713Charlotte Checkers1Worcester Sharks5WSommaire du match
6 - 2024-11-0916Worcester Sharks3Charlotte Checkers0WSommaire du match
8 - 2024-11-1126Worcester Sharks6Charlotte Checkers1WSommaire du match
9 - 2024-11-1229Adirondack Phantoms0Worcester Sharks1WSommaire du match
10 - 2024-11-1337Worcester Sharks2Adirondack Phantoms0WSommaire du match
12 - 2024-11-1540Charlotte Checkers0Worcester Sharks5WSommaire du match
13 - 2024-11-1647Worcester Sharks2Toronto Marlies1WXXSommaire du match
14 - 2024-11-1750Worcester Sharks2Lake Erie Monsters1WSommaire du match
15 - 2024-11-1858Toronto Marlies0Worcester Sharks1WXXSommaire du match
16 - 2024-11-1965Worcester Sharks1Manitoba Moose0WSommaire du match
17 - 2024-11-2070Charlotte Checkers-Worcester Sharks-
19 - 2024-11-2275Grand Rapids Griffins-Worcester Sharks-
22 - 2024-11-2583Worcester Sharks-Manitoba Moose-
23 - 2024-11-2688Worcester Sharks-Adirondack Phantoms-
25 - 2024-11-2893Worcester Sharks-Toronto Marlies-
27 - 2024-11-3099Grand Rapids Griffins-Worcester Sharks-
29 - 2024-12-02106Manitoba Moose-Worcester Sharks-
31 - 2024-12-04111Worcester Sharks-Grand Rapids Griffins-
33 - 2024-12-06117Worcester Sharks-Charlotte Checkers-
34 - 2024-12-07120Manitoba Moose-Worcester Sharks-
35 - 2024-12-08126Worcester Sharks-Providence Bruins-
38 - 2024-12-11134Rockford IceHogs-Worcester Sharks-
40 - 2024-12-13141Hamilton Bulldogs-Worcester Sharks-
41 - 2024-12-14148Lake Erie Monsters-Worcester Sharks-
42 - 2024-12-15154Worcester Sharks-Charlotte Checkers-
45 - 2024-12-18161Providence Bruins-Worcester Sharks-
46 - 2024-12-19167Worcester Sharks-Grand Rapids Griffins-
48 - 2024-12-21172Worcester Sharks-Norfolk Admirals-
49 - 2024-12-22179Providence Bruins-Worcester Sharks-
51 - 2024-12-24182Worcester Sharks-Rockford IceHogs-
52 - 2024-12-25190Adirondack Phantoms-Worcester Sharks-
54 - 2024-12-27197Abbotsford Heat-Worcester Sharks-
55 - 2024-12-28203Worcester Sharks-Abbotsford Heat-
57 - 2024-12-30207Worcester Sharks-Rockford IceHogs-
58 - 2024-12-31211Worcester Sharks-Hamilton Bulldogs-
59 - 2025-01-01216Rockford IceHogs-Worcester Sharks-
60 - 2025-01-02220Worcester Sharks-Lake Erie Monsters-
62 - 2025-01-04228Adirondack Phantoms-Worcester Sharks-
63 - 2025-01-05233Worcester Sharks-Lake Erie Monsters-
66 - 2025-01-08240Norfolk Admirals-Worcester Sharks-
69 - 2025-01-11246Worcester Sharks-Abbotsford Heat-
71 - 2025-01-13252Abbotsford Heat-Worcester Sharks-
75 - 2025-01-17264Lake Erie Monsters-Worcester Sharks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
824,852$ 1,958,940$ 0$ 1,956,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
25,776$ 413,066$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 60 51,512$ 3,090,720$




Worcester Sharks Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Worcester Sharks Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Worcester Sharks Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Worcester Sharks Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Worcester Sharks Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA