BINGHAMTON Devils
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Joseph | Morale : 99 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro19
Équipe Mineure25
Limite contact 44 / 55
Espoirs28


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique53-23-6 (0.646%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)3-4
Stanley Cup0


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
1Joel L'EsperanceX100.006535926283788263646065626571674299690254950,000$
2Joachim BlichfeldXXX100.007652596776828563586164576665675899690222750,000$
3Zack MacEwenXX100.008682656184748163646162596369653499680244950,000$
4Karson KuhlmanXX100.008035916769777164656266626571664299680243750,000$
5Aleksi SaarelaXX100.005135956671787664726563626667646299670232750,000$
6Ryan McLeodX100.005235886682797765786361646563627499670202750,000$
7Jeremy BraccoX100.005635936369768262766754586167646699660232750,000$
8Kole LindX100.006235956473767365636262616465637799660213750,000$
9Jakob StukelX100.006236905471758054565356545567644899620232750,000$
10Nelson NogierX100.006953726179747960305855634669655999660244950,000$
11Keaton MiddletonX100.006160665999707159305956624865636199650222750,000$
12Sergey Zborovskiy (R)X100.005141775082442750304444605050504499500232750,000$
Rayé
1Egor Sokolov (R)X100.007981876388798564566165626661636899700204750,000$
2Lane PedersonX100.008335956672807167756564626667634299690236950,000$
3Tyson Foerster (R)X100.006238786979778066726367626859648399680184750,000$
4Matthew PecaXX100.0073359564667880627163605761756841996702731,500,000$
5Dylan CoghlanX100.007235936682858164306765595365635499700226950,000$
6Cale FleuryX100.008935926380858162306156645365686299690216950,000$
7Kale ClagueX100.005635926470817565306857595165637199660226950,000$
MOYENNE D’ÉQUIPE100.00684485637876766255616060606664579966
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube81898685837765CAN554500,000$


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/LW2307/01/1997No91 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Cale FleuryBINGHAMTON Devils (NJD)D2119/11/1998No97 Kg185 CMNoNoNo6Pro & Farm950,000$950,000$950,000$950,000$0$0$No950,000$950,000$950,000$950,000$950,000$Lien
Dylan CoghlanBINGHAMTON Devils (NJD)D2219/02/1998No94 Kg188 CMNoNoNo6Pro & Farm950,000$950,000$950,000$950,000$0$0$No950,000$950,000$950,000$950,000$950,000$Lien
Egor SokolovBINGHAMTON Devils (NJD)RW2007/06/2000Yes101 Kg191 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Jakob StukelBINGHAMTON Devils (NJD)LW2306/03/1997No83 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jeremy BraccoBINGHAMTON Devils (NJD)RW2317/03/1997No82 Kg180 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Joachim BlichfeldBINGHAMTON Devils (NJD)C/LW/RW2217/07/1998No82 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Joel L'EsperanceBINGHAMTON Devils (NJD)C2518/08/1995No98 Kg188 CMNoNoNo4Pro & Farm950,000$950,000$750,000$750,000$0$0$No950,000$950,000$950,000$Lien
Kale ClagueBINGHAMTON Devils (NJD)D2205/06/1998No80 Kg183 CMNoNoNo6Pro & Farm950,000$950,000$950,000$950,000$0$0$No950,000$950,000$950,000$950,000$950,000$Lien
Karson KuhlmanBINGHAMTON Devils (NJD)C/RW2426/09/1995No86 Kg178 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Keaton MiddletonBINGHAMTON Devils (NJD)D2210/02/1998No109 Kg198 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Kole LindBINGHAMTON Devils (NJD)RW2116/10/1998No81 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Lane PedersonBINGHAMTON Devils (NJD)C2304/08/1997No86 Kg183 CMNoNoNo6Pro & Farm950,000$950,000$950,000$950,000$0$0$No950,000$950,000$950,000$950,000$950,000$Lien
Matthew PecaBINGHAMTON Devils (NJD)C/LW2727/04/1993No83 Kg173 CMNoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Nelson NogierBINGHAMTON Devils (NJD)D2427/05/1996No87 Kg188 CMNoNoNo4Pro & Farm950,000$950,000$750,000$750,000$0$0$No950,000$950,000$950,000$Lien
Ryan McLeodBINGHAMTON Devils (NJD)C2021/09/1999No94 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Sergey ZborovskiyBINGHAMTON Devils (NJD)D2321/02/1997Yes95 Kg193 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Tyson FoersterBINGHAMTON Devils (NJD)C1818/01/2002Yes88 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Zack MacEwenBINGHAMTON Devils (NJD)C/RW2408/07/1996No93 Kg191 CMNoNoNo4Pro & Farm950,000$950,000$750,000$750,000$0$0$No950,000$950,000$950,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1922.4790 Kg185 CM3.53863,158$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob StukelJeremy Bracco31122
2Ryan McLeod26122
3Ryan McLeodZack MacEwen23122
4Jeremy BraccoKole Lind20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Keaton Middleton26122
323122
420122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob StukelJeremy Bracco55122
2Ryan McLeod45122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Keaton Middleton45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jeremy Bracco55122
2Ryan McLeod45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Keaton Middleton45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
2Jeremy Bracco45122Keaton Middleton45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jeremy Bracco55122
2Ryan McLeod45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Keaton Middleton45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob StukelJeremy Bracco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob StukelJeremy Bracco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksi Saarela, Karson Kuhlman, Zack MacEwenAleksi Saarela, Karson KuhlmanZack MacEwen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nelson Nogier, Sergey Zborovskiy, Nelson NogierSergey Zborovskiy,
Tirs de pénalité
, Jeremy Bracco, , Ryan McLeod,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Jeremy Bracco, , Ryan McLeod, , Zack MacEwen, Zack MacEwen, , Aleksi Saarela, Karson Kuhlman, Kole Lind
Lignes de défense personnalisées en prolongation
, , , Keaton Middleton,


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$ 1,640,000$ 1,580,000$ 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$ 0 0$ 0$




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
36804623042323441681764024110202118982107402212022111558669110344624968211161103738354711471240111360223260045612222184018.35%2023682.18%21891285766.19%1437240059.88%758118563.97%225417301685482904469
Total Saison régulière804623042323441681764024110202118982107402212022111558669110344624968211161103738354711471240111360223260045612222184018.35%2023682.18%21891285766.19%1437240059.88%758118563.97%225417301685482904469
Séries éliminatoires
36734000001618-2422000001113-23120000055061631470156411966476497240544613830310.00%21576.19%010524043.75%12826049.23%4610842.59%160111189538842
Total Séries éliminatoires734000001618-2422000001113-23120000055061631470156411966476497240544613830310.00%21576.19%010524043.75%12826049.23%4610842.59%160111189538842