Binghampton Devils

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 50 | GA: 18 | PP%: 0.00% | PK%: 70.00%
DG: Maxime Joseph | Morale : 97 | Moyenne d'Équipe : 60
Prochain matchs #94 vs MONT-LAURIER Sommet
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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 SP
1Lucas Wallmark0X100.006735746870829467896965666654516187690
2Jesper Bratt0X100.006335817565836474708066627055574986690
3Warren Foegele (R)0X100.007435736580809064686365696553516699690
4David Kampf (R)0X100.006235756778827666817063726554514388680
5Joel L'Esperance0X100.005935716982585969716869536951504396640
6Zack MacEwen0X100.005889576984515269696363506450504496610
7Jordan Szwarz0X100.005089607072505070706464526452515296600
8Lane Pederson0X100.005089647072505070706464506450504496590
9Phil Lane (R)0X100.005540656581484052304649505160437196530
10Troy Bourke (R)0XX100.005089725862485058505151505150506396530
11Alex Schoenborn (R)0X100.005135737272454048304544505056518796520
12Sean Walker (R)0X100.006135766772676967305957616752504293630
13Dylan Coghlan0X100.005289687078505070305449515950504496570
14Julian Melchiori0X100.006489625992495059305045505551505396560
15Nelson Nogier (R)0X100.005335625579505055304641505150506196520
Rayé
MOYENNE D'ÉQUIPE100.00585769677660596455595756615350559460
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
1Al Montoya100.00705868816969706969696563674796630
Rayé
MOYENNE D'ÉQUIPE100.0070586881696970696969656367479663
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley71717474797954CAN6021,267,000$


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
1Jordan SzwarzBinghampton Devils (NJD)RW711920190011963134217.46%29713.8600000000001050.00%600024.1200000211
2Lane PedersonBinghampton Devils (NJD)C791120192061365204613.85%19814.0900000000000071.68%11300014.0500000113
3Joel L'EsperanceBinghampton Devils (NJD)C751015144091743144111.63%311316.2600046000030074.85%16300002.6400000010
4Dylan CoghlanBinghampton Devils (NJD)D7014141320346235110.00%711616.700006600002000.00%000002.3900000001
5Zack MacEwenBinghampton Devils (NJD)RW7571214201645314309.43%211015.7700026000010080.00%1000002.1700000000
6Troy BourkeBinghampton Devils (NJD)C/LW75381400631581433.33%011216.04000160000400100.00%800011.4300000010
7David KampfBinghampton Devils (NJD)C1538720213072316.67%02222.93000310000000100.00%2000016.9800000100
8Phil LaneBinghampton Devils (NJD)RW7505320422732518.52%1436.150000000000100.00%200002.3200000000
9Julian MelchioriBinghampton Devils (NJD)D71341060114821112.50%29914.190000000000000.00%000000.8100000000
10Nelson NogierBinghampton Devils (NJD)D712310004314277.14%39914.150000000000000.00%000000.6100000000
Stats d'équipe Total ou en Moyenne644762109123200103623418825013.78%2191314.2700016280000132075.16%32200052.3900000445
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
1Al MontoyaBinghampton Devils (NJD)73400.9242.5742002182370000.000077100
Stats d'équipe Total ou en Moyenne73400.9242.5742002182370000.000077100


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Al MontoyaBinghampton Devils (NJD)G341985-02-13No91 Kg188 CMNoNoNo1Pro & Farm600,000$545,945$600,000$545,945$0$0$NoLien
Alex SchoenbornBinghampton Devils (NJD)RW231995-12-12Yes91 Kg185 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$
David KampfBinghampton Devils (NJD)C241995-01-12Yes85 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Dylan CoghlanBinghampton Devils (NJD)D211998-02-19No86 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Jesper BrattBinghampton Devils (NJD)LW211998-07-30No80 Kg178 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Joel L'EsperanceBinghampton Devils (NJD)C241995-08-18No95 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Jordan SzwarzBinghampton Devils (NJD)RW281991-05-14No91 Kg180 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Julian MelchioriBinghampton Devils (NJD)D271991-12-06No97 Kg196 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Lane PedersonBinghampton Devils (NJD)C221997-08-04No86 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Lucas WallmarkBinghampton Devils (NJD)C231995-09-05No81 Kg183 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Nelson NogierBinghampton Devils (NJD)D231996-05-27Yes87 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Phil LaneBinghampton Devils (NJD)RW271992-05-29Yes99 Kg191 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$No
Sean WalkerBinghampton Devils (NJD)D241994-11-13Yes89 Kg180 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Troy BourkeBinghampton Devils (NJD)C/LW251994-03-30Yes71 Kg178 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Warren FoegeleBinghampton Devils (NJD)LW231996-04-01Yes90 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Zack MacEwenBinghampton Devils (NJD)RW231996-07-08No93 Kg191 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1624.5088 Kg185 CM1.88740,625$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
133023
2Troy BourkeJoel L'EsperanceZack MacEwen30023
3Lane PedersonJordan Szwarz27023
4Phil Lane10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
136023
2Dylan Coghlan31023
3Julian MelchioriNelson Nogier28023
45032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
150005
2Troy BourkeJoel L'EsperanceZack MacEwen50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
150014
2Dylan Coghlan50014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
150041
2Joel L'EsperanceTroy Bourke50041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
150050
2Dylan Coghlan50050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15005050050
2Joel L'Esperance50050Dylan Coghlan50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
150014
2Joel L'EsperanceTroy Bourke50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
150023
2Dylan Coghlan50023
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zack MacEwen, Jordan Szwarz, Lane PedersonZack MacEwen, Jordan SzwarzZack MacEwen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Coghlan, Julian Melchiori, Nelson NogierDylan CoghlanDylan Coghlan, Julian Melchiori
Tirs de Pénalité
, , , Joel L'Esperance, Zack MacEwen
Gardien
#1 : , #2 : Al Montoya
Lignes d'Attaque Perso. en Prol.
, , , Joel L'Esperance, Zack MacEwen, Jordan Szwarz, Jordan Szwarz, Lane Pederson, Phil Lane, Troy Bourke, Alex Schoenborn
Lignes de Défense Perso. en Prol.
, , , Dylan Coghlan, Julian Melchiori


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
LigueDomicileVisiteur
# 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
1BROOKLYN Wolfpack110000001211100000000000110000001211121.000122234002714901231171521660225014100.00%000.00%011418661.29%11122748.90%7211960.50%182148169376732
2COLORADO Eagles1010000035-21010000035-20000000000000.000369002714901511715216605014619300.00%3233.33%011418661.29%11122748.90%7211960.50%182148169376732
3CORNWALL Aces22000000280281100000013013110000001501541.000284472022714902241171521660275441100.00%20100.00%011418661.29%11122748.90%7211960.50%182148169376732
4Syracruse Crunch1010000025-31010000025-30000000000000.000246002714903511715216604110220500.00%10100.00%011418661.29%11122748.90%7211960.50%182148169376732
Total734000005018324130000021147321000002942560.429508413402271490435117152166023755201201300.00%10370.00%011418661.29%11122748.90%7211960.50%182148169376732
6VICTORIAVILLE Tigres2020000057-21010000034-11010000023-100.0005813002714903811715216609721826300.00%4175.00%011418661.29%11122748.90%7211960.50%182148169376732
_Since Last GM Reset734000005018324130000021147321000002942560.429508413402271490435117152166023755201201300.00%10370.00%011418661.29%11122748.90%7211960.50%182148169376732
_Vs Conference52300000351223312000001899211000001731440.400355691022714902971171521660165361487900.00%7185.71%011418661.29%11122748.90%7211960.50%182148169376732
_Vs Division120000001211101000000000110000001211142.000122234002714901231171521660225014100.00%000.00%011418661.29%11122748.90%7211960.50%182148169376732

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L25084134435237552012002
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400005018
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300002114
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3210000294
Derniers 10 Matchs
WLOTWOTL SOWSOL
340000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1300.00%10370.00%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
1171521660271490
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
11418661.29%11122748.90%7211960.50%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
182148169376732


Derniers Match 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
1 - 2020-01-159Binghampton Devils15CORNWALL Aces0WSommaire du Match
2 - 2020-01-1620CORNWALL Aces0Binghampton Devils13WSommaire du Match
3 - 2020-01-1738Syracruse Crunch5Binghampton Devils2LSommaire du Match
4 - 2020-01-1850VICTORIAVILLE Tigres4Binghampton Devils3LSommaire du Match
5 - 2020-01-1956Binghampton Devils12BROOKLYN Wolfpack1WSommaire du Match
7 - 2020-01-2174COLORADO Eagles5Binghampton Devils3LSommaire du Match
9 - 2020-01-2383Binghampton Devils2VICTORIAVILLE Tigres3LSommaire du Match
11 - 2020-01-2594Binghampton Devils-MONT-LAURIER Sommet-
13 - 2020-01-27113VICTORIAVILLE Tigres-Binghampton Devils-
15 - 2020-01-29125Binghampton Devils-BELLEVILLE Senators-
17 - 2020-01-31137Binghampton Devils-Manitoba Moose-
19 - 2020-02-02149CORNWALL Aces-Binghampton Devils-
21 - 2020-02-04168Binghampton Devils-LEHIGH VALLEY Phantoms-
22 - 2020-02-05171Binghampton Devils-Syracruse Crunch-
23 - 2020-02-06179LEHIGH VALLEY Phantoms-Binghampton Devils-
24 - 2020-02-07197Syracruse Crunch-Binghampton Devils-
25 - 2020-02-08205Binghampton Devils-COLORADO Eagles-
27 - 2020-02-10223Binghampton Devils-HOLLYWOOD Oscar-
28 - 2020-02-11230CORNWALL Aces-Binghampton Devils-
29 - 2020-02-12243Binghampton Devils-LEHIGH VALLEY Phantoms-
30 - 2020-02-13258TUSCON Roadrunners-Binghampton Devils-
31 - 2020-02-14269Binghampton Devils-IOWA Wild-
33 - 2020-02-16283WILKIES-BARRIE Penguins-Binghampton Devils-
34 - 2020-02-17300Binghampton Devils-COLORADO Eagles-
35 - 2020-02-18310WILKIES-BARRIE Penguins-Binghampton Devils-
37 - 2020-02-20327Binghampton Devils-HOLLYWOOD Oscar-
38 - 2020-02-21334BRIDGEPORT Sound Tigers-Binghampton Devils-
39 - 2020-02-22356BELLEVILLE Senators-Binghampton Devils-
41 - 2020-02-24369Binghampton Devils-CHICAGO Wolves-
42 - 2020-02-25377LEHIGH VALLEY Phantoms-Binghampton Devils-
43 - 2020-02-26391Binghampton Devils-BRIDGEPORT Sound Tigers-
44 - 2020-02-27403Binghampton Devils-STOCKTON Flames-
45 - 2020-02-28411Binghampton Devils-MILWAUKEE Admirals-
46 - 2020-02-29421Marlies de Toronto-Binghampton Devils-
47 - 2020-03-01437COLORADO Eagles-Binghampton Devils-
49 - 2020-03-03449Binghampton Devils-Marlies de Toronto-
50 - 2020-03-04463ROCKFORD IceHogs-Binghampton Devils-
52 - 2020-03-06481Syracruse Crunch-Binghampton Devils-
54 - 2020-03-08497Binghampton Devils-TUSCON Roadrunners-
55 - 2020-03-09509Binghampton Devils-STOCKTON Flames-
56 - 2020-03-10518MONT-LAURIER Sommet-Binghampton Devils-
57 - 2020-03-11532Binghampton Devils-SAN DIEGO Gulls-
59 - 2020-03-13544MONT-LAURIER Sommet-Binghampton Devils-
60 - 2020-03-14560Binghampton Devils-LAVAL Rockets-
61 - 2020-03-15567STOCKTON Flames-Binghampton Devils-
62 - 2020-03-16585Binghampton Devils-HERSEY Bears-
63 - 2020-03-17591Binghampton Devils-BELLEVILLE Senators-
64 - 2020-03-18601CHICAGO Wolves-Binghampton Devils-
65 - 2020-03-19619VICTORIAVILLE Tigres-Binghampton Devils-
67 - 2020-03-21636Binghampton Devils-PROVIDENCE Bruins-
68 - 2020-03-22643Binghampton Devils-VICTORIAVILLE Tigres-
69 - 2020-03-23654BELLEVILLE Senators-Binghampton Devils-
70 - 2020-03-24672STOCKTON Flames-Binghampton Devils-
72 - 2020-03-26687Binghampton Devils-WILKIES-BARRIE Penguins-
73 - 2020-03-27697PV Sharapovas-Binghampton Devils-
74 - 2020-03-28712Binghampton Devils-ROCKFORD IceHogs-
75 - 2020-03-29725BROOKLYN Wolfpack-Binghampton Devils-
76 - 2020-03-30739Binghampton Devils-Manitoba Moose-
77 - 2020-03-31750MILWAUKEE Admirals-Binghampton Devils-
79 - 2020-04-02764Binghampton Devils-MONT-LAURIER Sommet-
80 - 2020-04-03778HOLLYWOOD Oscar-Binghampton Devils-
81 - 2020-04-04789Binghampton Devils-CORNWALL Aces-
82 - 2020-04-05801HOLLYWOOD Oscar-Binghampton Devils-
83 - 2020-04-06812Binghampton Devils-IOWA Wild-
85 - 2020-04-08827PV Sharapovas-Binghampton Devils-
86 - 2020-04-09840Binghampton Devils-PV Sharapovas-
87 - 2020-04-10853PROVIDENCE Bruins-Binghampton Devils-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11863Binghampton Devils-BROOKLYN Wolfpack-
89 - 2020-04-12878SAN DIEGO Gulls-Binghampton Devils-
91 - 2020-04-14894Binghampton Devils-PV Sharapovas-
92 - 2020-04-15905IOWA Wild-Binghampton Devils-
93 - 2020-04-16923Binghampton Devils-WILKIES-BARRIE Penguins-
94 - 2020-04-17931Manitoba Moose-Binghampton Devils-
95 - 2020-04-18938Binghampton Devils-UTICA Comets-
96 - 2020-04-19957UTICA Comets-Binghampton Devils-
97 - 2020-04-20966Binghampton Devils-BROOKLYN Wolfpack-
99 - 2020-04-22983LAVAL Rockets-Binghampton Devils-
100 - 2020-04-23995Binghampton Devils-CORNWALL Aces-
102 - 2020-04-251010HERSEY Bears-Binghampton Devils-
106 - 2020-04-291033Manitoba Moose-Binghampton Devils-
109 - 2020-05-021053IOWA Wild-Binghampton Devils-
110 - 2020-05-031066Binghampton Devils-Syracruse Crunch-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
202,656$ 1,185,000$ 1,185,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 88,516$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 101 22,090$ 2,231,090$




LigueDomicileVisiteur
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
3373400000501832413000002114732100000294256508413402271490435117152166023755201201300.00%10370.00%011418661.29%11122748.90%7211960.50%182148169376732
Total Saison Régulière73400000501832413000002114732100000294256508413402271490435117152166023755201201300.00%10370.00%011418661.29%11122748.90%7211960.50%182148169376732
Séries
32624000001520-53120000079-231200000811-34152237106432124383644629585221122613.85%10190.00%0111467.53%3029210.27%7808.75%9359211426630
Total Séries624000001520-53120000079-231200000811-34152237106432124383644629585221122613.85%10190.00%0111467.53%3029210.27%7808.75%9359211426630