Please rotate your device to landscape mode for a better experience.
Connexion

Binghamton Whalers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jérôme Murray | Morale : 40 | Moyenne d’équipe : 65

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJérôme Murray
EntraîneurLarry Pleau
DivisionAdams
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 250
Espoirs0


Historique d'équipe

Saison actuelle0-0
Historique311-289-59 (0.472%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)35 - 38 (0.479%)
Coupe Stanley0


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
1Petr NedvedXX100.0065257780698682837683797182716504075020170,000$
2Michael Peca (R)X100.0078436676758283747678718266677104074018385,000$
3Tie Domi (R)XX100.00859333718880826947676767626674040680231375,000$
4Igor Korolev (R)XXX100.0063267876657565746571666563777004068021385,000$
5Darren McCarty (R)X100.0082834168827874614464666953817504068020362,000$
6Jeff Daniels (R)XXX100.00672894706878796662646570465064040670243350,000$
7Turner Stevenson (R)X100.0075605770737777664464647661605904067020155,000$
8Randy GilhenXXX100.00713386687569666568676773574239040650292355,000$
9Dan BylsmaXXX100.00723786687074746456596170455465040650213235,000$
10Jeff Shantz (R)XX100.0065268070657775667465597558454204065018370,000$
11Shane ChurlaX100.00686925577166645848585462482525040560273100,000$
12Chris BrantX100.00595351525866675148616052422525040530273100,000$
13Curtis LeschyshynX100.00723979727984827340706881537470040730232625,000$
14Steve Staios (R)X100.0071655471758180694264687459576204069018262,500$
15Glen Featherstone (R)X100.00766745727773747040676477524749040680243400,000$
16Marcus Ragnarsson (R)X100.0073427671728077674066647458556304068020366,000$
17Jason Marshall (R)X100.00705757717273736840596071525047040650213250,000$
18Joel Bouchard (R)X100.0067626563747473614064647146586504065018361,000$
19Kevin Dahl (R)X100.00683770687071636540645870464439040630242250,000$
20Ian Moran (R)X100.0068307866727472644361587157414004063019155,000$
Rayé
1Stephane Morin (R)XX100.00652680696372726966706762664442040640232200,000$
2Mike MillarX100.00582878616066655649626254482525040560273100,000$
3Brad Werenka (R)X100.00613273686570656740626364553738040600231200,000$
MOYENNE D’ÉQUIPE100.0070466669717573665266647055525304065
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
1Peter Skudra (R)100.006562658368646968686671526204066019250,000$
2Steve Passmore (R)100.006566677572656862667167343204063019345,000$
Rayé
1Kay Whitmore100.0064646776636058595963552525040580252100,000$
MOYENNE D’ÉQUIPE100.006564667868636563646764374004062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Larry Pleau50606050505060USA45125,000$


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
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


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 Plafond 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
Brad WerenkaBinghamton Whalers (HAR)D231969-02-12CANYes205 Lbs6 ft2NoNoTrade2024-07-04NoNo12025-01-07FalseFalsePro & Farm200,000$0$0$No---------------------------Lien
Chris BrantBinghamton Whalers (HAR)LW271965-06-29CANNo190 Lbs6 ft1NoNoN/ANoNo32026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$100,000$-------100,000$100,000$-------NoNo-------Lien
Curtis LeschyshynBinghamton Whalers (HAR)D231969-06-29USANo205 Lbs6 ft1NoNoTrade2024-02-27NoNo22025-08-18FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
Dan BylsmaBinghamton Whalers (HAR)C/LW/RW211970-09-19USANo215 Lbs6 ft2NoNoTrade2025-10-10NoNo32026-03-16FalseFalsePro & Farm235,000$0$0$No235,000$235,000$-------235,000$235,000$-------NoNo-------Lien
Darren McCartyBinghamton Whalers (HAR)RW201972-04-01CANYes215 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm62,000$0$0$No62,000$62,000$-------62,000$62,000$-------NoNo-------Lien
Glen FeatherstoneBinghamton Whalers (HAR)D241968-06-29CANYes215 Lbs6 ft4NoNoN/ANoNo32026-03-16FalseFalsePro & Farm400,000$0$0$No400,000$400,000$-------400,000$400,000$-------NoNo-------Lien
Ian MoranBinghamton Whalers (HAR)D191972-08-24USAYes206 Lbs6 ft0NoNoAssign ManuallyNoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Lien
Igor KorolevBinghamton Whalers (HAR)C/LW/RW211970-09-06RUSYes198 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm85,000$0$0$No85,000$85,000$-------85,000$85,000$-------NoNo-------Lien
Jason MarshallBinghamton Whalers (HAR)D211971-02-22CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-15FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Lien
Jeff DanielsBinghamton Whalers (HAR)C/LW/RW241968-06-24CANYes200 Lbs6 ft1NoNoN/ANoNo32026-03-16FalseFalsePro & Farm350,000$0$0$No350,000$350,000$-------350,000$350,000$-------NoNo-------Lien
Jeff ShantzBinghamton Whalers (HAR)C/LW181973-10-10CANYes184 Lbs6 ft0NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm70,000$0$0$No70,000$70,000$-------70,000$70,000$-------NoNo-------Lien
Joel BouchardBinghamton Whalers (HAR)D181974-01-23CANYes209 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm61,000$0$0$No61,000$61,000$-------61,000$61,000$-------NoNo-------Lien
Kay WhitmoreBinghamton Whalers (HAR)G251967-04-10CANNo175 Lbs5 ft11NoNoN/ANoNo22026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$--------100,000$--------No--------Lien
Kevin DahlBinghamton Whalers (HAR)D241968-06-29CANYes190 Lbs5 ft11NoNoAssign ManuallyNoNo22025-08-18FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------Lien
Marcus RagnarssonBinghamton Whalers (HAR)D201971-08-13SWEYes209 Lbs6 ft0NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm66,000$0$0$No66,000$66,000$-------66,000$66,000$-------NoNo-------Lien
Michael PecaBinghamton Whalers (HAR)C181974-05-26CANYes181 Lbs5 ft11NoNoTrade2026-03-10NoNo32026-03-04FalseFalsePro & Farm85,000$0$0$No85,000$85,000$-------85,000$85,000$-------NoNo-------Lien
Mike MillarBinghamton Whalers (HAR)RW271965-04-28CANNo170 Lbs5 ft10NoNoN/ANoNo32026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$100,000$-------100,000$100,000$-------NoNo-------Lien
Peter SkudraBinghamton Whalers (HAR)G191973-04-24LATYes183 Lbs6 ft1NoNoTrade2026-03-10NoNo22025-07-11FalseFalsePro & Farm50,000$0$0$No50,000$--------50,000$--------No--------Lien
Petr NedvedBinghamton Whalers (HAR)C/LW201971-12-09CZENo205 Lbs6 ft3NoNoTrade2026-03-10NoNo12024-12-23FalseFalsePro & Farm70,000$0$0$No---------------------------Lien
Randy GilhenBinghamton Whalers (HAR)C/LW/RW291963-06-13GERNo190 Lbs6 ft0NoNoN/ANoNo22025-01-07FalseFalsePro & Farm355,000$0$0$No355,000$--------355,000$--------No--------Lien
Shane ChurlaBinghamton Whalers (HAR)RW271965-06-24CANNo200 Lbs6 ft1NoNoN/ANoNo32026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$100,000$-------100,000$100,000$-------NoNo-------Lien
Stephane MorinBinghamton Whalers (HAR)C/LW231969-03-27CANYes175 Lbs6 ft1NoNoAssign ManuallyNoNo22026-03-15FalseFalsePro & Farm200,000$0$0$No200,000$--------200,000$--------No--------Lien
Steve PassmoreBinghamton Whalers (HAR)G191973-01-29CANYes170 Lbs5 ft9NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm45,000$0$0$No45,000$45,000$-------45,000$45,000$-------NoNo-------Lien
Steve StaiosBinghamton Whalers (HAR)D181973-07-28CANYes200 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-11FalseFalsePro & Farm62,500$0$0$No62,500$--------62,500$--------No--------Lien
Tie DomiBinghamton Whalers (HAR)LW/RW231969-06-29CANYes207 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-18FalseFalsePro & Farm375,000$0$0$No---------------------------Lien
Turner StevensonBinghamton Whalers (HAR)RW201972-05-18CANYes220 Lbs6 ft3NoNoAssign ManuallyNoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.96197 Lbs6 ft12.35169,481$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tie DomiMichael PecaDarren McCarty42311
2Petr NedvedJeff ShantzIgor Korolev38221
3Jeff DanielsDan BylsmaTurner Stevenson15221
4Chris BrantRandy GilhenShane Churla5320
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus RagnarssonSteve Staios45230
2Curtis LeschyshynJoel Bouchard40230
3Ian MoranGlen Featherstone10230
4Jason MarshallKevin Dahl5140
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Petr NedvedMichael PecaTie Domi60302
2Igor KorolevJeff ShantzTurner Stevenson40203
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis LeschyshynSteve Staios70113
2Marcus RagnarssonJoel Bouchard30113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael PecaTurner Stevenson60140
2Jeff ShantzJeff Daniels40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis LeschyshynSteve Staios60140
2Marcus RagnarssonGlen Featherstone40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Peca60050Curtis LeschyshynSteve Staios60050
2Jeff Shantz40050Marcus RagnarssonGlen Featherstone40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael PecaPetr Nedved60014
2Jeff ShantzTie Domi40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis LeschyshynSteve Staios60122
2Marcus RagnarssonJoel Bouchard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Petr NedvedMichael PecaTie DomiCurtis LeschyshynSteve Staios
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff ShantzMichael PecaTurner StevensonCurtis LeschyshynSteve Staios
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Darren McCarty, Dan Bylsma, Jeff DanielsDarren McCarty, Dan BylsmaJeff Daniels
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jason Marshall, Ian Moran, Marcus RagnarssonJason MarshallIan Moran, Jason Marshall
Tirs de pénalité
Petr Nedved, Igor Korolev, Michael Peca, Jeff Shantz, Tie Domi
Gardien
#1 : Peter Skudra, #2 : Steve Passmore
Lignes d’attaque personnalisées en prolongation
Michael Peca, Petr Nedved, Jeff Shantz, Tie Domi, Igor Korolev, Darren McCarty, Jeff Daniels, Turner Stevenson, Randy Gilhen, Shane Churla
Lignes de défense personnalisées en prolongation
Curtis Leschyshyn, Steve Staios, Marcus Ragnarsson, Glen Featherstone, Joel Bouchard


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 440,650$ 440,650$ 25,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




Binghamton Whalers 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
1Tony Currie3941642213855370187711123213.31%74706517.9354911453406172023450.90%11.09514
2Ted Donato404134233367331503721030106112.63%137885421.92508513529838113721751.73%10.83724
3Tim Tookey57398189287-461603378149979.83%83670711.7122588014500038551.54%00.8600
4Paul Fenton241901532435112435058073212.30%74489520.312766931961231819349.56%10.9948
5Curtis Leschyshyn33059161220-1328040036354210.89%490767723.26447211634905510520%00.5700

Binghamton Whalers 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
1Arturs Irbe1838164190.8803.59946018356647030600.72948
2Chris Terreri139735270.8853.35775463433376701320.81811
3Stephane Fiset134463970.8863.4561168335230880520.57919
4Rick Knickle91322940.8823.4241892123920330510.6673
5Guy Hebert66292780.8863.2137356120017540110.8577

Binghamton Whalers 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
Saison régulière
1985824628032213342637141221302211168130384124150101016613333105334599933021269910472675916841907222241652845154444411024.77%3526780.97%21531293252.22%1308269248.59%720140651.21%1999137918916191054537
19868232350861030728720411614064101651402541162102200142147-58830755786431112115719252081084883529250273493716373898521.85%4169277.88%41455282651.49%1447290149.88%715139851.14%1941132019446281064527
198782333604324297298-141161902202147149-24117170212215014918529753483112109100829248079583581951242871784615163808622.63%3808777.11%51419286049.62%1445281251.39%765142453.72%1992135919116261062531
19888232380541230529213412114022021761482841112403210129144-158230554785263101911077241777477284840255672892415913719224.80%3959176.96%81370273750.05%1419288849.13%714136552.31%1909130219966221049515
198982303207733289302-1341161305331152150241141902402137152-15902895118001110698751323008027097594824777201059175537510628.27%46510776.99%31323268549.27%1446291349.64%728139552.19%1918129219976291060520
199082303705532292316-2441121905221142158-1641181800311150158-883292522814011089680112338748764797472585726114217723749525.40%50412475.40%61398273951.04%1561301251.83%717139251.51%1928129719786291055519
199182293006566275268741131803232144147-34116120333413112110932754897643297769017244283877578091229371498515583747620.32%4399478.59%41412278750.66%1384282548.99%688130652.68%1964133319816341061523
199282195301432230330-10041112401122118151-334182900310112179-67522304026324078806852125710693705302533739113317713786918.25%50612675.10%41361265051.36%1411286949.18%654132149.51%1900127220066291049514
Total Saison régulière65625128903936212023292356-273281271340261812111212117339328124155013189911171183-6667823294161649018128377556777819297639362376450358196155730787113144308571923.31%345778877.21%36112692221650.72%114212291249.85%57011100751.79%155561055815707502184584189
Séries éliminatoires
1985404000001218-62020000058-320200000710-30122234008130127424441014638447219315.79%21576.19%17214649.32%7115147.02%306546.15%956495304924
19861688000005457-37430000029263945000002531-61654991531020151814241481241331948514018230560813.33%751678.67%024152146.26%25954847.26%13026050.00%377251399122208104
198716880000063576725000002632-69630000037251216631171802027211505181731671771531151154310701622.86%631182.54%026057545.22%26459344.52%13429445.58%35623940112120499
198919109000006470-696300000292541046000003545-10206411618010301912353518115616731607202251405801721.25%1161983.62%131565048.46%34770049.57%16634348.40%450299484151257126
19911899000006567-2835000002430-610640000041374186512118610222220152519015916610562169239327952223.16%932375.27%131863350.24%34866652.25%14831946.39%437298430135235117
Total Séries éliminatoires73353800000258269-1133151800000113121-840202000000145148-3702584757335010778685212973465068461233170087014193246620.37%3687479.89%31206252547.76%1289265848.50%608128147.46%171811531811562956472

Binghamton Whalers 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
1Ted Donato5324295312266513714916.11%18122623.1459142801185151.89%00.8600
2Tony Currie5419264542227913613.97%1193517.3346103600002048.84%00.9600
3Tim Tookey73201838-19122912513514.81%997013.3077142710153247.79%00.7800
4Paul Fenton36191635410549913813.77%981322.613473510163043.95%10.8600
5Sylvain Cote366222841416274812.50%5585723.825611320001100%00.6500

Binghamton Whalers 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
1Arturs Irbe2310920.8693.841172007557302000
2Stephane Fiset179420.9003.12982005151201100
3Mike Richter137510.8923.57739004440700100
4Chris Terreri186820.8783.80948006049101100
5Rick Knickle113400.9043.02497402526100100