Binghamton Senators

GP: 27 | W: 12 | L: 11 | OTL: 4 | P: 28
GF: 87 | GA: 92 | PP%: 19.35% | PK%: 82.89%
DG: Éric Santerre | Morale : 44 | Moyenne d'Équipe : N/A
Prochain matchs #427 vs San Antonio Rampage
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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 SPÂgeContratSalaire Moyen
1Derek DorsettX100.00855071707578787255707269729699703100341900,000$
2David Gustafsson (R)X99.00703084748281777675757573686875704200203850,000$
3Gustav Possler (R)X99.005925878569777278657677687469717050002611,200,000$
4Max McCormickXX100.008948747683797975757676667474767050002821,100,000$
5Stanislav GalievXX99.006830828080817678667978638084787033002821,300,000$
6Maxim Shalunov (C)X100.007940798180787782658279677582797045002721,850,000$
7Ryan TesinkXX99.00874074787876747875787773727780704800273975,000$
8Connor Rankin (R)XX100.008241777782777778747876697267697042002621,600,000$
9Danick Martel (R)X100.007037798173777880637777687568727050002621,750,000$
10Matt Puempel (A)XX99.007840788379797982677879687572727045002741,600,000$
11Kevin RoyXX99.005525878168787689607879648261617050002731,400,000$
12Jérémy Grégoire (R)X100.00894770738678747576747372706177703700251750,000$
13Arttu Ruotsalainen (R)XX99.006025898572818077727574657069637050002321,750,000$
14Kole Lind (R)X100.00754376767779737463767465706564703900222800,000$
15Luke HenmanX100.00643085747378787370737171656263703100202750,000$
16Brogan Rafferty (R)X99.00814476777881817850776082586565705000251950,000$
17Andrew Nielsen (R)X99.008555677388767672507662836361647050002411,700,000$
18Cody Donaghey (R)X99.007741777576757072507561805964697040002411,000,000$
19Ian McCoshen (R)X99.00874074758680757550766484646767705000251950,000$
20Mason Geertsen (R)X100.00895069708578767050725782576162705000251750,000$
Rayé
1Marcus SorensenX100.00553078826774747660737566725960702100281950,000$
2Alexis Pepin (R)X100.00875867698776767165707066685354702400241700,000$
3Andre PeterssonXX100.00572582757176757360737464726768702400301850,000$
MOYENNE D'ÉQUIPE99.5275397777787876766376727170687070410
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
1Igor Bobkov99.0082818794918686868889848282702100
2Denis Godla (R)100.0088828280888589848584826059705000
3Stephon Williams100.0082838286828184828280815757702000
Rayé
MOYENNE D'ÉQUIPE99.678482848787848684858482666670300
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes85858885808070USA442900,000$


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
1Brogan RaffertyBinghamton Senators (OTT)D2762026-5180313544193913.64%4467124.8838112683000160010.00%000100.7700000013
2Kevin RoyBinghamton Senators (OTT)LW/RW27101525-40033185145811.76%649218.2523510730000201031.58%3800001.0100000012
3Ian McCoshenBinghamton Senators (OTT)D2781220-2260553853133615.09%3365624.334373183000045400.00%000000.6100000131
4Sonny MilanoOttawa SenatorsLW/RW2251419010015266111388.20%336216.46066642000001050.00%2400001.0501000210
5David GustafssonBinghamton Senators (OTT)C2611617-520154456103819.64%544016.9633612580001300150.90%55600010.7700000220
6Cody DonagheyBinghamton Senators (OTT)D2741216-16023273941510.26%1550418.681122050000045010.00%000000.6300000020
7Matt PuempelBinghamton Senators (OTT)LW/RW219615180293972133712.50%345121.491124170002532145.21%29200000.6601000200
8Andrew NielsenBinghamton Senators (OTT)D2701212-12205931388220.00%3754320.120222372000053000.00%000000.4400000011
9Stanislav GalievBinghamton Senators (OTT)LW/RW262911-66011104817424.17%338314.740331357000081156.86%5100000.5701000100
10Arttu RuotsalainenBinghamton Senators (OTT)C/LW2756110003285213249.62%235413.130114220000120050.34%29200000.6200000101
11Ryan TesinkBinghamton Senators (OTT)C/RW225510-11004227578398.77%1133915.451011190001181046.49%11400000.5900000000
12Kole LindBinghamton Senators (OTT)RW224610180381639152410.26%132114.63022221000000041.18%1700000.6200000100
13Gustav PosslerBinghamton Senators (OTT)LW27369-82031430112310.00%1639714.74101310000090037.50%2400000.4500000000
14Mason GeertsenBinghamton Senators (OTT)D27369-32605617226213.64%3644616.5200049000025000.00%000000.4000000100
15Max McCormickBinghamton Senators (OTT)C/LW27358-3804017355278.57%02659.831237580001161155.88%13600000.6000000010
16Connor RankinBinghamton Senators (OTT)C/LW1425754017121752111.76%217212.3500000000001050.00%2600000.8100000100
17Danick MartelBinghamton Senators (OTT)LW27437-520192540143610.00%330611.3501113000000045.83%2400000.4600000010
18Maxim ShalunovBinghamton Senators (OTT)RW25235-910023385217493.85%650620.2712310600001651143.71%15100000.2001000000
19Jérémy GrégoireBinghamton Senators (OTT)C22145-51003414215134.76%31999.05000552000000052.15%20900000.5000000100
20Jack HughesOttawa SenatorsC/LW/RW523540014134915.38%17214.5100012000040046.43%2800001.3811000010
21Eric RobinsonOttawa SenatorsLW41341406513277.69%18020.20000000000110050.00%600000.9900000000
22Marcus SorensenBinghamton Senators (OTT)LW101233003240025.00%1222.2400000000040025.00%400002.6800000000
23Andre PeterssonBinghamton Senators (OTT)LW/RW71232003261216.67%0456.5700000000000066.67%300001.3000000000
24Luke HenmanBinghamton Senators (OTT)C16112-20081712478.33%31348.4300000000000043.21%16200000.3000000000
25Keith AulieOttawa SenatorsD5011000000000.00%061.340000000001000.00%000002.9900000000
26Derek DorsettBinghamton Senators (OTT)RW14000000000000.00%030.280000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne53193167260-43182053751990921960810.23%235818415.41183856183799000748813748.59%215700110.641500013148
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
1Igor BobkovBinghamton Senators (OTT)2412920.8963.33129801726920100.6673241421
2Denis GodlaBinghamton Senators (OTT)20000.9441.7768002360000.000006000
3Ilya KonovalovOttawa Senators70220.8713.8426620171320000.0000320000
Stats d'équipe Total ou en Moyenne33121140.8943.35163221918600100.66732727421


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
Alexis PepinBinghamton Senators (OTT)LW241995-01-22 10:06:36Yes245 Lbs6 ft3NoNoNo1Pro & Farm700,000$487,765$700,000$487,765$0$0$No
Andre PeterssonBinghamton Senators (OTT)LW/RW301989-01-22 05:30:31No174 Lbs5 ft10NoNoNo1Pro & Farm850,000$592,287$850,000$592,287$0$0$No
Andrew NielsenBinghamton Senators (OTT)D241995-01-22 03:04:00Yes207 Lbs6 ft3NoNoNo1Pro & Farm1,700,000$1,184,574$1,700,000$1,184,574$0$0$No
Arttu RuotsalainenBinghamton Senators (OTT)C/LW231996-01-22 01:46:51Yes181 Lbs5 ft8NoNoNo2Pro & Farm1,750,000$1,219,414$1,750,000$1,219,414$0$0$No1,750,000$
Brogan RaffertyBinghamton Senators (OTT)D251994-01-01 03:45:40Yes192 Lbs6 ft2NoNoNo1Pro & Farm950,000$661,968$950,000$661,968$0$0$No
Cody DonagheyBinghamton Senators (OTT)D241995-01-22 02:19:45Yes191 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$696,808$1,000,000$696,808$0$0$No
Connor RankinBinghamton Senators (OTT)C/LW261993-01-22 13:10:25Yes198 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$1,114,893$1,600,000$1,114,893$0$0$No1,600,000$
Danick MartelBinghamton Senators (OTT)LW261993-01-22 13:13:13Yes161 Lbs5 ft8NoNoNo2Pro & Farm1,750,000$1,219,414$1,750,000$1,219,414$0$0$No1,750,000$
David GustafssonBinghamton Senators (OTT)C201999-01-02 03:09:41Yes196 Lbs6 ft2NoNoNo3Pro & Farm850,000$592,287$850,000$592,287$0$0$No850,000$850,000$
Denis GodlaBinghamton Senators (OTT)G251994-01-22 07:30:06Yes179 Lbs5 ft11NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Derek DorsettBinghamton Senators (OTT)RW341985-01-22 12:29:38No190 Lbs6 ft0NoNoNo1Pro & Farm900,000$627,127$900,000$627,127$0$0$No
Gustav PosslerBinghamton Senators (OTT)LW261993-01-22 13:32:32Yes167 Lbs5 ft11NoNoNo1Pro & Farm1,200,000$836,170$1,200,000$836,170$0$0$No
Ian McCoshenBinghamton Senators (OTT)D251994-01-22 10:12:10Yes218 Lbs6 ft3NoNoNo1Pro & Farm950,000$661,968$950,000$661,968$0$0$No
Igor BobkovBinghamton Senators (OTT)G291990-01-22 00:29:38No215 Lbs6 ft6NoNoNo2Pro & Farm1,750,000$1,219,414$1,750,000$1,219,414$0$0$No1,750,000$
Jérémy GrégoireBinghamton Senators (OTT)C251994-01-22 09:56:52Yes194 Lbs6 ft0NoNoNo1Pro & Farm750,000$522,606$750,000$522,606$0$0$No
Kevin RoyBinghamton Senators (OTT)LW/RW271992-01-22 04:55:46No170 Lbs5 ft9NoNoNo3Pro & Farm1,400,000$975,531$1,400,000$975,531$0$0$No1,400,000$1,400,000$
Kole LindBinghamton Senators (OTT)RW221997-01-22 09:20:47Yes179 Lbs6 ft1NoNoNo2Pro & Farm800,000$557,446$800,000$557,446$0$0$No800,000$
Luke HenmanBinghamton Senators (OTT)C201999-01-22 10:49:56No152 Lbs6 ft0NoNoNo2Pro & Farm750,000$522,606$750,000$522,606$0$0$No750,000$
Marcus SorensenBinghamton Senators (OTT)LW281991-01-22 03:15:05No168 Lbs5 ft11NoNoNo1Pro & Farm950,000$661,968$950,000$661,968$0$0$No
Mason GeertsenBinghamton Senators (OTT)D251994-01-22 05:45:29Yes216 Lbs6 ft4NoNoNo1Pro & Farm750,000$522,606$750,000$522,606$0$0$No
Matt PuempelBinghamton Senators (OTT)LW/RW271992-01-22 03:16:44No196 Lbs6 ft0NoNoNo4Pro & Farm1,600,000$1,114,893$1,600,000$1,114,893$0$0$No1,600,000$1,600,000$1,600,000$
Max McCormickBinghamton Senators (OTT)C/LW281991-01-22 03:18:05No185 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$766,489$1,100,000$766,489$0$0$No1,100,000$
Maxim ShalunovBinghamton Senators (OTT)RW271992-01-22 04:21:30No183 Lbs6 ft3NoNoNo2Pro & Farm1,850,000$1,289,095$1,850,000$1,289,095$0$0$No1,850,000$
Ryan TesinkBinghamton Senators (OTT)C/RW271992-01-22 16:41:59No161 Lbs6 ft0NoNoNo3Pro & Farm975,000$679,388$975,000$679,388$0$0$No975,000$975,000$
Stanislav GalievBinghamton Senators (OTT)LW/RW281991-01-22 14:46:47No188 Lbs6 ft1NoNoNo2Pro & Farm1,300,000$905,851$1,300,000$905,851$0$0$No1,300,000$
Stephon WilliamsBinghamton Senators (OTT)G271992-01-22 05:32:48No196 Lbs6 ft3NoNoNo2Pro & Farm1,600,000$1,114,893$1,600,000$1,114,893$0$0$No1,600,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.85189 Lbs6 ft11.731,175,962$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Stanislav GalievDavid GustafssonKevin Roy25014
2Danick MartelMaxim ShalunovMatt Puempel25122
3Connor RankinArttu RuotsalainenRyan Tesink25122
4Gustav PosslerMatt PuempelRyan Tesink25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshenBrogan Rafferty25014
2Andrew NielsenCody Donaghey25122
3Mason GeertsenGustav Possler25122
4Ian McCoshenBrogan Rafferty25014
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max McCormickDavid GustafssonArttu Ruotsalainen60014
2Kevin RoyJérémy GrégoireStanislav Galiev40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshenBrogan Rafferty60014
2Andrew NielsenCody Donaghey40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1David GustafssonMatt Puempel60122
2Max McCormickKevin Roy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshenBrogan Rafferty60122
2Andrew NielsenCody Donaghey40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kevin Roy60122Ian McCoshenBrogan Rafferty60122
2Max McCormick40122Andrew NielsenCody Donaghey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt PuempelArttu Ruotsalainen60122
2David GustafssonKevin Roy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshenBrogan Rafferty60122
2Andrew NielsenCody Donaghey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Stanislav GalievDavid GustafssonKevin RoyIan McCoshenBrogan Rafferty
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max McCormickMatt PuempelMaxim ShalunovIan McCoshenBrogan Rafferty
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Gustafsson, Kevin Roy, Arttu RuotsalainenDavid Gustafsson, Stanislav GalievArttu Ruotsalainen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ian McCoshen, Brogan Rafferty, Cody DonagheyBrogan RaffertyAndrew Nielsen, Cody Donaghey
Tirs de Pénalité
Max McCormick, Arttu Ruotsalainen, David Gustafsson, Kevin Roy, Danick Martel
Gardien
#1 : Igor Bobkov, #2 : Denis Godla
Lignes d'Attaque Perso. en Prol.
Maxim Shalunov, Matt Puempel, David Gustafsson, Kevin Roy, Danick Martel, Stanislav Galiev, Stanislav Galiev, Gustav Possler, Jérémy Grégoire, Arttu Ruotsalainen, Max McCormick
Lignes de Défense Perso. en Prol.
Ian McCoshen, Brogan Rafferty, Andrew Nielsen, Cody Donaghey, Mason Geertsen


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
1Albany Devils11000000202000000000001100000020221.00024601273028226262295292162596224125.00%30100.00%049298949.75%48397349.64%19140647.04%621423664202349172
2Charlotte Checkers11000000413000000000001100000041321.0004590027302822726229529216349613500.00%20100.00%049298949.75%48397349.64%19140647.04%621423664202349172
3Chicoutimi Saguenéens30300000714-72020000049-51010000035-200.0007121900273028297262295292168517227214214.29%7185.71%049298949.75%48397349.64%19140647.04%621423664202349172
4Connecticut Whale2110000056-11010000015-41100000041320.500510150027302824726229529216642012303133.33%5180.00%049298949.75%48397349.64%19140647.04%621423664202349172
5Henderson Silver Knights11000000514110000005140000000000021.000591400273028229262295292162558133133.33%30100.00%049298949.75%48397349.64%19140647.04%621423664202349172
6Houston Aeros10001000541100010005410000000000021.000581300273028228262295292162442164125.00%000.00%049298949.75%48397349.64%19140647.04%621423664202349172
7Lake Erie Monsters1000000156-1000000000001000000156-110.5005914002730282282622952921642156213266.67%3233.33%049298949.75%48397349.64%19140647.04%621423664202349172
8Laval Chiefs11000000431000000000001100000043121.000481200273028251262295292162792165120.00%110.00%049298949.75%48397349.64%19140647.04%621423664202349172
9Manitoba Moose1010000057-2000000000001010000057-200.000571200273028232262295292163612819200.00%40100.00%049298949.75%48397349.64%19140647.04%621423664202349172
10Oklahoma City Barons11000000321000000000001100000032121.000369002730282282622952921650714283133.33%6183.33%049298949.75%48397349.64%19140647.04%621423664202349172
11Peoria Rivermen21100000770000000000002110000077020.500714210027302826726229529216812216447114.29%8450.00%049298949.75%48397349.64%19140647.04%621423664202349172
12Providence Bruins11000000532110000005320000000000021.000591400273028228262295292163681225300.00%6183.33%049298949.75%48397349.64%19140647.04%621423664202349172
13Roberval Dwarfs3110010067-11010000003-32100010064230.500611170027302829426229529216872518639222.22%9188.89%049298949.75%48397349.64%19140647.04%621423664202349172
14San Antonio Rampage20200000711-420200000711-40000000000000.000713200027302826926229529216672284412325.00%30100.00%049298949.75%48397349.64%19140647.04%621423664202349172
15The Nuuk Vikings1000010023-11000010023-10000000000010.500235002730282382622952921636131422200.00%6183.33%049298949.75%48397349.64%19140647.04%621423664202349172
Total271011023018792-51338011003749-1214730120150437280.5198715624301273028286226229529216860243176543931819.35%761382.89%049298949.75%48397349.64%19140647.04%621423664202349172
16Trois-Rivières Draveurs311010001091211000006601000100043140.66710182800273028299262295292169433145810220.00%60100.00%049298949.75%48397349.64%19140647.04%621423664202349172
17Wilkes-Barre/Scranton Penguins2010010058-31010000024-21000010034-110.2505101500273028274262295292164713837400.00%40100.00%049298949.75%48397349.64%19140647.04%621423664202349172
_Since Last GM Reset271011023018792-51338011003749-1214730120150437280.5198715624301273028286226229529216860243176543931819.35%761382.89%049298949.75%48397349.64%19140647.04%621423664202349172
_Vs Conference19610012005666-101028000002541-169420120031256160.421569915501273028259326229529216575168114383661116.67%49491.84%049298949.75%48397349.64%19140647.04%621423664202349172
_Vs Division1235011003544-9824000002232-10411011001312190.375356398002730282387262295292163691057426248918.75%31390.32%049298949.75%48397349.64%19140647.04%621423664202349172

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2728L18715624386286024317654301
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
27101123018792
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
133811003749
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
147312015043
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
931819.35%761382.89%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
262295292162730282
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
49298949.75%48397349.64%19140647.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
621423664202349172


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 - 2020-10-287Binghamton Senators5Lake Erie Monsters6LXXSommaire du Match
4 - 2020-10-3129Henderson Silver Knights1Binghamton Senators5WSommaire du Match
6 - 2020-11-0246Roberval Dwarfs3Binghamton Senators0LSommaire du Match
7 - 2020-11-0353Binghamton Senators2Albany Devils0WSommaire du Match
10 - 2020-11-0675Binghamton Senators3Wilkes-Barre/Scranton Penguins4LXSommaire du Match
11 - 2020-11-0786Providence Bruins3Binghamton Senators5WSommaire du Match
14 - 2020-11-10110The Nuuk Vikings3Binghamton Senators2LXSommaire du Match
17 - 2020-11-13132Binghamton Senators4Trois-Rivières Draveurs3WXSommaire du Match
19 - 2020-11-15143Chicoutimi Saguenéens4Binghamton Senators3LSommaire du Match
21 - 2020-11-17155Binghamton Senators4Connecticut Whale1WSommaire du Match
23 - 2020-11-19173Connecticut Whale5Binghamton Senators1LSommaire du Match
25 - 2020-11-21189Binghamton Senators3Chicoutimi Saguenéens5LSommaire du Match
27 - 2020-11-23204Binghamton Senators3Peoria Rivermen5LSommaire du Match
29 - 2020-11-25215Chicoutimi Saguenéens5Binghamton Senators1LSommaire du Match
31 - 2020-11-27229Binghamton Senators5Manitoba Moose7LSommaire du Match
33 - 2020-11-29242Binghamton Senators2Roberval Dwarfs3LXSommaire du Match
35 - 2020-12-01256San Antonio Rampage7Binghamton Senators4LSommaire du Match
37 - 2020-12-03274Binghamton Senators4Charlotte Checkers1WSommaire du Match
39 - 2020-12-05289Wilkes-Barre/Scranton Penguins4Binghamton Senators2LSommaire du Match
41 - 2020-12-07305Binghamton Senators4Roberval Dwarfs1WSommaire du Match
43 - 2020-12-09320Binghamton Senators3Oklahoma City Barons2WSommaire du Match
44 - 2020-12-10329Houston Aeros4Binghamton Senators5WXSommaire du Match
47 - 2020-12-13345Binghamton Senators4Laval Chiefs3WSommaire du Match
49 - 2020-12-15359Trois-Rivières Draveurs4Binghamton Senators3LSommaire du Match
53 - 2020-12-19388Trois-Rivières Draveurs2Binghamton Senators3WSommaire du Match
55 - 2020-12-21401Binghamton Senators4Peoria Rivermen2WSommaire du Match
57 - 2020-12-23419San Antonio Rampage4Binghamton Senators3LSommaire du Match
59 - 2020-12-25427Binghamton Senators-San Antonio Rampage-
61 - 2020-12-27448Binghamton Senators-Chicoutimi Saguenéens-
63 - 2020-12-29459Rochester Americans-Binghamton Senators-
65 - 2020-12-31473Binghamton Senators-Rochester Americans-
67 - 2021-01-02488Rouyn-Noranda Huskies-Binghamton Senators-
69 - 2021-01-04505Binghamton Senators-Lake Erie Monsters-
72 - 2021-01-07522Chicoutimi Saguenéens-Binghamton Senators-
75 - 2021-01-10547Binghamton Senators-Chicago Wolves-
77 - 2021-01-12557Manitoba Moose-Binghamton Senators-
79 - 2021-01-14576Binghamton Senators-Charlotte Checkers-
80 - 2021-01-15588CCCP Red Army-Binghamton Senators-
85 - 2021-01-20616Binghamton Senators-CCCP Red Army-
86 - 2021-01-21625Bridgeport Sound Tigers-Binghamton Senators-
89 - 2021-01-24643Binghamton Senators-Joliette Sportif-
90 - 2021-01-25656Roberval Dwarfs-Binghamton Senators-
93 - 2021-01-28675Binghamton Senators-CCCP Red Army-
94 - 2021-01-29690Mercer Island Hafgufa-Binghamton Senators-
97 - 2021-02-01708Binghamton Senators-Lake Erie Monsters-
99 - 2021-02-03721Milwaukee Admirals-Binghamton Senators-
101 - 2021-02-05738Binghamton Senators-Adirondack Phantoms-
102 - 2021-02-06748Binghamton Senators-Connecticut Whale-
104 - 2021-02-08763Charlotte Checkers-Binghamton Senators-
107 - 2021-02-11784The Nuuk Vikings-Binghamton Senators-
110 - 2021-02-14805Binghamton Senators-Rochester Americans-
111 - 2021-02-15816Henderson Silver Knights-Binghamton Senators-
114 - 2021-02-18833Binghamton Senators-Las Vegas Gamblers-
117 - 2021-02-21853Mercer Island Hafgufa-Binghamton Senators-
121 - 2021-02-25882Springfield Falcons-Binghamton Senators-
123 - 2021-02-27895Binghamton Senators-Rockford IceHogs-
125 - 2021-03-01914Bridgeport Sound Tigers-Binghamton Senators-
127 - 2021-03-03933Binghamton Senators-Trois-Rivières Draveurs-
128 - 2021-03-04943Binghamton Senators-Wilkes-Barre/Scranton Penguins-
130 - 2021-03-06953Oklahoma City Barons-Binghamton Senators-
133 - 2021-03-09978Grand Rapids Griffins-Binghamton Senators-
135 - 2021-03-11989Binghamton Senators-Albany Devils-
139 - 2021-03-151014Springfield Falcons-Binghamton Senators-
142 - 2021-03-181039Providence Bruins-Binghamton Senators-
144 - 2021-03-201048Binghamton Senators-Providence Bruins-
147 - 2021-03-231073Albany Devils-Binghamton Senators-
148 - 2021-03-241084Binghamton Senators-Norfolk Admirals-
151 - 2021-03-271106Norfolk Admirals-Binghamton Senators-
153 - 2021-03-291118Binghamton Senators-Providence Bruins-
155 - 2021-03-311135Norfolk Admirals-Binghamton Senators-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
159 - 2021-04-041159Binghamton Senators-Springfield Falcons-
160 - 2021-04-051165Binghamton Senators-Gatineau Olympiques-
163 - 2021-04-081182Connecticut Whale-Binghamton Senators-
166 - 2021-04-111205Providence Bruins-Binghamton Senators-
168 - 2021-04-131217Binghamton Senators-Manitoba Moose-
171 - 2021-04-161240Adirondack Phantoms-Binghamton Senators-
173 - 2021-04-181251Binghamton Senators-Bridgeport Sound Tigers-
178 - 2021-04-231276Rochester Americans-Binghamton Senators-
179 - 2021-04-241285Binghamton Senators-Bridgeport Sound Tigers-
185 - 2021-04-301308Adirondack Phantoms-Binghamton Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4530
Assistance25,97112,991
Assistance PCT99.89%99.93%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
27 2997 - 99.90% 119,879$1,558,425$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,226,596$ 3,057,500$ 3,057,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
16,263$ 949,106$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,236,729$ 131 21,051$ 2,757,681$




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