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Binghampton Rangers (NYR)
GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jason Roy | Morale : 50 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJason Roy
EntraîneurJacques Lemaire
DivisionPatrick
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2Kris King


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure21
Limite contact 39 / 50
Espoirs3


Historique d'équipe

Saison actuelle0-0-0 ( 0PTS)
Historique74-4-2 (0.881%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)12-1
Coupe Stanley1


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
1Tony Amonte0X100.00593479777289808373788065733744050670204235,000$
2Doug Weight0X100.00664574746989767980817573683755050670193177,000$
3Darren Turcotte0X100.00503381766385758277787871734539050660222230,000$
4Rob Zamuner0X100.00674379707687747477737176673757050650211145,000$
5Jody Hull0X100.00533085697483736971686873674662050630212135,000$
6Sergei Nemchinov0XX100.0061578363708177727670747168585405063026290,000$
7Mark Janssens0X100.00836957627984736180616075624471050610221145,000$
8Mike Sullivan0X100.0066459070737972667558577465525705060022255,000$
9Paul Broten0X100.00594076706675696468636371644338050590252158,000$
10Steven Rice0X100.00623979647768696466616566663847050580192121,000$
11Sergei Zubov0X100.00583287715985848035807575684253050650202110,000$
12David Shaw0X100.00726273647682736835666278616259050640261232,500$
13Darryl Sydor0X100.00766677657579786935717077663848050640182110,000$
14Rudy Poeschek0X100.00837955607783725335524977514163050610242139,000$
Rayé
1Ray Sheppard0X100.005433887172827180757581677651460506602400$
2Kris King (A)0X100.008781486075817465676464726547740506202400$
3Lindy Ruff0X100.007875586775765762356261786289930506603000$
MOYENNE D’ÉQUIPE100.0067517568728273706268687366475605063
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
1Craig Billington100.0077757270737172797873714148050680242150,000$
Rayé
MOYENNE D’ÉQUIPE100.007775727073717279787371414805068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Lemaire74807382828286CAN462500,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Craig BillingtonBinghampton Rangers (NYR) (NYR)G241966-07-26 21:57:47No171 Lbs5 ft10NoNoNo2Pro & Farm150,000$150,000$150,000$150,000$0$0$No150,000$Lien / Lien NHL
Darren TurcotteBinghampton Rangers (NYR) (NYR)C221968-07-27 09:57:47No186 Lbs6 ft0NoNoNo2Pro & Farm230,000$230,000$230,000$230,000$0$0$No230,000$Lien / Lien NHL
Darryl SydorBinghampton Rangers (NYR) (NYR)D181972-05-13 03:34:07No214 Lbs6 ft3NoNoNo2Pro & Farm110,000$110,000$110,000$110,000$0$0$No110,000$Lien / Lien NHL
David ShawBinghampton Rangers (NYR) (NYR)D261964-07-27 09:57:47No205 Lbs6 ft2NoNoNo1Pro & Farm232,500$232,500$232,500$232,500$0$0$NoLien / Lien NHL
Doug WeightBinghampton Rangers (NYR) (NYR)C191971-07-27 03:57:47No196 Lbs5 ft11NoNoNo3Pro & Farm177,000$177,000$177,000$177,000$0$0$No177,000$177,000$Lien / Lien NHL
Jody HullBinghampton Rangers (NYR) (NYR)RW211969-07-26 15:57:47No204 Lbs6 ft2NoNoNo2Pro & Farm135,000$135,000$135,000$135,000$0$0$No135,000$Lien / Lien NHL
Kris KingBinghampton Rangers (NYR) (NYR)LW241966-07-26 21:57:47No212 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Lindy RuffBinghampton Rangers (NYR) (NYR)D301960-07-27 09:57:47No192 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Mark JanssensBinghampton Rangers (NYR) (NYR)C221968-07-27 09:57:47No217 Lbs6 ft3NoNoNo1Pro & Farm145,000$145,000$145,000$145,000$0$0$NoLien / Lien NHL
Mike SullivanBinghampton Rangers (NYR) (NYR)C221968-02-27 07:42:35No187 Lbs6 ft2NoNoNo2Pro & Farm55,000$55,000$55,000$55,000$0$0$No55,000$
Paul BrotenBinghampton Rangers (NYR) (NYR)RW251965-07-26 15:57:47No191 Lbs5 ft11NoNoNo2Pro & Farm158,000$158,000$158,000$158,000$0$0$No158,000$Lien / Lien NHL
Ray SheppardBinghampton Rangers (NYR) (NYR)RW241966-07-26 21:57:47No185 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Rob ZamunerBinghampton Rangers (NYR) (NYR)LW211969-07-26 15:57:47No205 Lbs6 ft2NoNoNo1Pro & Farm145,000$145,000$145,000$145,000$0$0$No
Rudy PoeschekBinghampton Rangers (NYR) (NYR)D241966-07-26 21:57:47No210 Lbs6 ft2NoNoNo2Pro & Farm139,000$139,000$139,000$139,000$0$0$No139,000$
Sergei NemchinovBinghampton Rangers (NYR) (NYR)C/LW261964-01-14 03:55:56No203 Lbs6 ft0NoNoNo2Pro & Farm90,000$90,000$90,000$90,000$0$0$No90,000$Lien
Sergei ZubovBinghampton Rangers (NYR) (NYR)D201970-07-22 03:31:24No74 Lbs1 ft7NoNoNo2Pro & Farm110,000$110,000$110,000$110,000$0$0$No110,000$Lien
Steven RiceBinghampton Rangers (NYR) (NYR)RW191971-07-27 03:57:47No219 Lbs6 ft0NoNoNo2Pro & Farm121,000$121,000$121,000$121,000$0$0$No121,000$
Tony AmonteBinghampton Rangers (NYR) (NYR)RW201970-07-26 21:57:47No191 Lbs6 ft0NoNoNo4Pro & Farm235,000$235,000$235,000$235,000$0$0$No235,000$235,000$235,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1822.61192 Lbs5 ft101.67124,028$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark JanssensJody Hull34041
2Sergei NemchinovDarren Turcotte33122
3Rob ZamunerDoug WeightTony Amonte33005
4Rob ZamunerMike SullivanSteven Rice0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sergei Zubov40113
2David Shaw30113
3Darryl SydorRudy Poeschek30113
4Sergei ZubovDarryl Sydor0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergei NemchinovDoug WeightTony Amonte60005
2Rob ZamunerDarren Turcotte40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sergei ZubovDarryl Sydor60014
2David Shaw40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mike Sullivan60140
2Mark JanssensJody Hull40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ShawRudy Poeschek60140
2Darryl Sydor40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mike Sullivan60140Rudy Poeschek60140
2Mark Janssens40140David Shaw40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mark Janssens60113
2Mike SullivanJody Hull40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1David Shaw60122
2Sergei ZubovDarryl Sydor40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Doug WeightTony AmonteSergei ZubovDarryl Sydor
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike SullivanJody HullRudy PoeschekDavid Shaw
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Sullivan, Steven Rice, Jody HullSergei Nemchinov, Jody HullRob Zamuner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Darryl Sydor, Rudy Poeschek, Rudy PoeschekSergei Zubov,
Tirs de pénalité
Tony Amonte, , Doug Weight, Sergei Nemchinov, Darren Turcotte
Gardien
#1 : , #2 : Craig Billington
Lignes d’attaque personnalisées en prolongation
Doug Weight, Tony Amonte, Darren Turcotte, , Sergei Nemchinov, Rob Zamuner, Rob Zamuner, Mark Janssens, , Mike Sullivan, Jody Hull
Lignes de défense personnalisées en prolongation
Sergei Zubov, Darryl Sydor, , David Shaw,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs extérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 matchs
WLOTWOTL T
00000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,116,250$ 1,116,250$ 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$ 0 0$ 0$




Binghampton Rangers (NYR) Leaders statistiques (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
1Darren Turcotte8039861258614444922917.03%31129616.216121825000010353.9611.9300
2Tony Amonte7765591247720532423827.31%13134817.5119143345000017245.6131.8400
3Doug Weight7736821187620715518819.15%19132217.18625312800006356.4111.7800
4Ray Sheppard806240102848523520330.54%20132516.56961530000110358.3341.5400
5Sergei Zubov80315889894536615420.13%70177122.1441418171123130.00%21.0100

Binghampton Rangers (NYR) 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
1Mike Richter5755110.9461.26343569721342837300.00%0
2Craig Billington2319310.9152.0813830148568355100.00%0

Binghampton Rangers (NYR) 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
180704240003611202414033322000180551254037102000181651161503616099700101428912642203681721790111910750183613641815932.60%1981592.42%4710125156.75%654119654.68%609106257.34%1762114818985641160615
Total Saison régulière80704240003611202414033322000180551254037102000181651161503616099700101428912642203681721790111910750183613641815932.60%1981592.42%4710125156.75%654119654.68%609106257.34%1762114818985641160615
Séries éliminatoires
1131210000051213077000000308226510000021138245194145011914180388135117132435012522719938923.68%22386.36%110921850.00%13022258.56%8916254.94%297194289100201105
Total Séries éliminatoires131210000051213077000000308226510000021138245194145011914180388135117132435012522719938923.68%22386.36%110921850.00%13022258.56%8916254.94%297194289100201105

Binghampton Rangers (NYR) Leaders statistiques (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
1Darren Turcotte13917261515684818.75%221416.47336500002154.4102.4300
2Ray Sheppard1391524140624121.95%322917.69156400002025.0012.0900
3Tony Amonte138513201085115.69%123117.821231100000050.0001.1200
4Doug Weight1349133017122516.00%823818.33202710111057.0001.0900
5Sergei Nemchinov1358131501382420.83%825019.290222000040100.0001.0400

Binghampton Rangers (NYR) 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
1Mike Richter1312100.9401.607890121350204200.00%0