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BINGHAMTON Devils
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Joseph | Morale : 99 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMaxime Joseph
EntraîneurCraig Berube
DivisionMillaire
ConférenceConference A
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 55
Espoirs32


Historique d'équipe

Saison actuelle0-0
Historique28-205-1 (0.120%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-0
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
1Evan RodriguesXXX100.005935927071878167766567616475693699700283900,000$
2Egor Sokolov (R)X100.007981876388798564566165626661636899700213750,000$
3Lane PedersonX100.008335956672807167756564626667634299690245950,000$
4Joel L'EsperanceX100.006535926283788263646065626571674299690263950,000$
5Joachim BlichfeldXXX100.007652596776828563586164576665675899690231750,000$
6Tyler Angle (R)X100.005835936571798466776768646961635999690203750,000$
7Zack MacEwenXX100.008682656184748163646162596369653499680253950,000$
8Karson KuhlmanXX100.008035916769777164656266626571664299680252750,000$
9Tyson Foerster (R)X100.006238786979778066726367626859648399680193750,000$
10Aleksi SaarelaXX100.005135956671787664726563626667646299670241750,000$
11Matthew PecaXX100.0073359564667880627163605761756841996702821,500,000$
12Ryan McLeodX100.005235886682797765786361646563627499670211750,000$
13Jean-Sebastien DeaXX100.005642846667707365746362616573673799660271750,000$
14Jeremy BraccoX100.005635936369768262766754586167646699660241750,000$
15Kole LindX100.006235956473767365636262616465637799660222750,000$
16Mark Kastelic (R)X100.007636825685768158605657595663625999650213750,000$
17Julian MelchioriX100.008537915494889354305555614678705199700292800,000$
18Dylan CoghlanX100.007235936682858164306765595365635499700235950,000$
19Juuso RiikolaX100.0086359568727973663068575951756836996902711,150,000$
20Derrick PouliotX100.0058397169748386653063565950736774996802731,500,000$
21Nelson NogierX100.006953726179747960305855634669655999660253950,000$
22Kale ClagueX100.005635926470817565306857595165637199660235950,000$
23Keaton MiddletonX100.006160665999707159305956624865636199650231750,000$
Rayé
MOYENNE D’ÉQUIPE100.00684285647779796357636161606865569968
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
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube81898685837765CAN563500,000$


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
Aleksi SaarelaBINGHAMTON Devils (NJD)C/LW241/7/1997No91 Kg178 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Derrick PouliotBINGHAMTON Devils (NJD)D271/16/1994No89 Kg183 CMNoNoNo3Pro & Farm1,500,000$1,285,714$1,500,000$1,285,714$0$0$No1,500,000$1,500,000$Lien
Dylan CoghlanBINGHAMTON Devils (NJD)D232/19/1998No94 Kg188 CMNoNoNo5Pro & Farm950,000$814,286$950,000$814,286$0$0$No950,000$950,000$950,000$950,000$Lien
Egor SokolovBINGHAMTON Devils (NJD)RW216/7/2000Yes101 Kg191 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Evan RodriguesBINGHAMTON Devils (NJD)C/LW/RW287/28/1993No84 Kg180 CMNoNoNo3Pro & Farm900,000$771,429$900,000$771,429$0$0$No900,000$900,000$Lien
Jean-Sebastien DeaBINGHAMTON Devils (NJD)C/RW272/8/1994No76 Kg180 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Jeremy BraccoBINGHAMTON Devils (NJD)RW243/17/1997No82 Kg180 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Joachim BlichfeldBINGHAMTON Devils (NJD)C/LW/RW237/17/1998No82 Kg188 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Joel L'EsperanceBINGHAMTON Devils (NJD)C268/18/1995No98 Kg188 CMNoNoNo3Pro & Farm950,000$814,286$750,000$642,857$0$0$No950,000$950,000$Lien
Julian MelchioriBINGHAMTON Devils (NJD)D2912/6/1991No101 Kg196 CMNoNoNo2Pro & Farm800,000$685,714$800,000$685,714$0$0$No800,000$Lien
Juuso RiikolaBINGHAMTON Devils (NJD)D2711/9/1993No86 Kg183 CMNoNoNo1Pro & Farm1,150,000$985,714$1,150,000$985,714$0$0$NoLien
Kale ClagueBINGHAMTON Devils (NJD)D236/5/1998No80 Kg183 CMNoNoNo5Pro & Farm950,000$814,286$950,000$814,286$0$0$No950,000$950,000$950,000$950,000$Lien
Karson KuhlmanBINGHAMTON Devils (NJD)C/RW259/26/1995No86 Kg178 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Keaton MiddletonBINGHAMTON Devils (NJD)D232/10/1998No109 Kg198 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Kole LindBINGHAMTON Devils (NJD)RW2210/16/1998No81 Kg185 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Lane PedersonBINGHAMTON Devils (NJD)C248/4/1997No86 Kg183 CMNoNoNo5Pro & Farm950,000$814,286$950,000$814,286$0$0$No950,000$950,000$950,000$950,000$Lien
Mark KastelicBINGHAMTON Devils (NJD)C2111/3/1999Yes95 Kg191 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Matthew PecaBINGHAMTON Devils (NJD)C/LW284/27/1993No83 Kg173 CMNoNoNo2Pro & Farm1,500,000$1,285,714$1,500,000$1,285,714$0$0$No1,500,000$Lien
Nelson NogierBINGHAMTON Devils (NJD)D255/27/1996No87 Kg188 CMNoNoNo3Pro & Farm950,000$814,286$750,000$642,857$0$0$No950,000$950,000$Lien
Ryan McLeodBINGHAMTON Devils (NJD)C219/21/1999No94 Kg188 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Tyler AngleBINGHAMTON Devils (NJD)C209/30/2000Yes78 Kg180 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Tyson FoersterBINGHAMTON Devils (NJD)C191/18/2002Yes88 Kg188 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Zack MacEwenBINGHAMTON Devils (NJD)C/RW257/8/1996No93 Kg191 CMNoNoNo3Pro & Farm950,000$814,286$750,000$642,857$0$0$No950,000$950,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.1389 Kg185 CM2.48893,478$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesEgor Sokolov31122
2Joachim BlichfeldLane PedersonZack MacEwen26122
3Matthew PecaTyler AngleKarson Kuhlman23122
4Aleksi SaarelaJoel L'EsperanceJeremy Bracco20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan31122
2Juuso RiikolaDerrick Pouliot26122
3Kale ClagueNelson Nogier23122
4Keaton Middleton20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesEgor Sokolov55122
2Joachim BlichfeldLane PedersonZack MacEwen45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan55122
2Juuso RiikolaDerrick Pouliot45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Evan Rodrigues55122
2Egor SokolovLane Pederson45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan55122
2Juuso RiikolaDerrick Pouliot45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Dylan Coghlan55122
2Evan Rodrigues45122Juuso RiikolaDerrick Pouliot45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Evan Rodrigues55122
2Egor SokolovLane Pederson45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan Coghlan55122
2Juuso RiikolaDerrick Pouliot45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evan RodriguesEgor SokolovDylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evan RodriguesEgor SokolovDylan Coghlan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyson Foerster, Ryan McLeod, Kole LindTyson Foerster, Ryan McLeodKole Lind
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kale Clague, Nelson Nogier, Keaton MiddletonKale ClagueNelson Nogier, Keaton Middleton
Tirs de pénalité
, Evan Rodrigues, Egor Sokolov, Lane Pederson, Tyler Angle
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Evan Rodrigues, Egor Sokolov, Lane Pederson, Tyler Angle, Joachim Blichfeld, Joachim Blichfeld, Joel L'Esperance, Zack MacEwen, Tyson Foerster, Karson Kuhlman
Lignes de défense personnalisées en prolongation
, Dylan Coghlan, Juuso Riikola, Derrick Pouliot, Kale Clague


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 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
000.00%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$ 2,055,000$ 1,995,000$ 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$ 12 0$ 0$




BINGHAMTON Devils 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
1400146270416-4755614052422186.58%281665416.6410142463000280055.94%01.2500
240071162233-20647129114810886.53%123405510.14510151500000147.17%21.1500
3807486160-9347211862611.82%69165720.7230407074022163056.73%51.9300
44006494158-26120841978727.34%10137539.38000000020047.86%00.8400
5806469133-83571596652212.26%56155219.4125305569303111154.81%51.7100

BINGHAMTON Devils 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

BINGHAMTON Devils 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
378097000100257742-4854053500000142369-2274043500100115373-25819257480737005210897024707758478480326510757588552285222.81%34020938.53%5440151229.10%340129326.30%624187633.26%124467420709191484522
3780106900100257734-4774063400000142361-2194043500100115373-25821257479736005210798024677778398510325310787588592255122.67%34020739.12%5441150829.24%337128626.21%624186933.39%124867820699161482521
388086601500368733-3654033500200169354-1854053101300199379-180233686129802010214412113944142413161197734821170666136623410645.30%23814638.66%51220224154.44%521113345.98%993184153.94%1842116016106521357667
Total Saison régulière24027205017008822209-132712014104002004531084-63112013101015004291125-6966388215712453202063593161888129763002289671000033232182308068720930.42%91856238.78%152101526139.94%1198371232.27%2241558640.12%433525135750248843231710

BINGHAMTON Devils 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

BINGHAMTON Devils 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