Connexion

Binghamton Senateurs
GP: 19 | W: 9 | L: 9 | OTL: 1 | P: 19
GF: 67 | GA: 72 | PP%: 17.50% | PK%: 78.13%
DG: Gabriel Duquette | Morale : 50 | Moyenne d’équipe : 66
Prochain matchs #307 vs islanders
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Centre de jeu
Silver Knights
7-9-3, 17pts
2
FINAL
3 Binghamton Senateurs
9-9-1, 19pts
Team Stats
L3StreakW2
3-4-2Home Record4-4-1
4-5-1Away Record5-5-0
4-4-2Last 10 Games5-4-1
3.74Buts par match 3.53
4.42Buts contre par match 3.79
24.29%Pourcentage en avantage numérique17.50%
67.03%Pourcentage en désavantage numérique78.13%
Binghamton Senateurs
9-9-1, 19pts
3
FINAL
2 Condors
9-8-1, 19pts
Team Stats
W2StreakL1
4-4-1Home Record5-4-1
5-5-0Away Record4-4-0
5-4-1Last 10 Games4-6-0
3.53Buts par match 3.06
3.79Buts contre par match 2.61
17.50%Pourcentage en avantage numérique19.44%
78.13%Pourcentage en désavantage numérique84.21%
islanders
9-8-2, 20pts
2022-11-28
Binghamton Senateurs
9-9-1, 19pts
Statistiques d’équipe
SOL1SéquenceW2
4-3-2Fiche domicile4-4-1
5-5-0Fiche visiteur5-5-0
4-5-110 derniers matchs5-4-1
3.74Buts par match 3.53
3.74Buts contre par match 3.79
26.67%Pourcentage en avantage numérique17.50%
80.88%Pourcentage en désavantage numérique78.13%
Binghamton Senateurs
9-9-1, 19pts
2022-12-02
IceHogs
7-9-3, 17pts
Statistiques d’équipe
W2SéquenceL1
4-4-1Fiche domicile3-5-2
5-5-0Fiche visiteur4-4-1
5-4-110 derniers matchs4-4-2
3.53Buts par match 3.42
3.79Buts contre par match 3.84
17.50%Pourcentage en avantage numérique33.93%
78.13%Pourcentage en désavantage numérique78.67%
Marlies
10-6-2, 22pts
2022-12-03
Binghamton Senateurs
9-9-1, 19pts
Statistiques d’équipe
W1SéquenceW2
4-4-2Fiche domicile4-4-1
6-2-0Fiche visiteur5-5-0
5-4-110 derniers matchs5-4-1
3.78Buts par match 3.53
3.11Buts contre par match 3.79
25.00%Pourcentage en avantage numérique17.50%
81.71%Pourcentage en désavantage numérique78.13%
Meneurs d'équipe
Victoires
Logan Thompson
9
Pourcentage d’arrêts
Pheonix Copley
0.944

Statistiques d’équipe
Buts pour
67
3.53 GFG
Tirs pour
701
36.89 Avg
Pourcentage en avantage numérique
17.5%
14 GF
Début de zone offensive
39.3%
Buts contre
72
3.79 GAA
Tirs contre
742
39.05 Avg
Pourcentage en désavantage numérique
78.1%
14 GA
Début de la zone défensive
43.3%
Information d’équipe

Directeur généralGabriel Duquette
EntraîneurChris Niel
DivisionATLANTIQUE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,396
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 55
Espoirs13


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
1Jack Quinn0X100.005937847071897168726770617261630507002141,713,333$
2Taro Hirose0X100.00613594666386836771665856646768050670263750,000$
3Joe Snively0X100.0056367563658677647365665762666805067X0262755,000$
4Josh Dunne0X100.00814276578881665873565966576466050670232855,000$
5Nikita Scherbak0X100.00673886647983786357625859647165050670263999,999$
6Jayce Hawryluk0XX99.00843986647266716261646159646966050670263700,000$
7Henry Bowlby0X100.00673683607980875852596057596567050660251850,000$
8Colin Theisen0XX100.00643888637281656254616059636567050660253775,000$
9Brandon Biro0X100.00673688616680726166625758626466050650243766,666$
10Bryce Kindopp0X100.006337866074738759625758605963650506502341,500,000$
11Adam Raska0X100.00764062616674786057595862576163050650213900,000$
12Brayden Burke0X100.00563784626572766359665557636567050640253775,000$
13Brinson Pasichnuk0X100.00534382617577766230605764516764050650251950,250$
14Brayden Pachal0X100.00673878567974835830575661526365050650234750,000$
15Zack Hayes0X100.00785274558781865430555260456362050650232980,500$
16Cam Lee0X100.00633972587377885730595356486567050640251700,000$
17Artyom Serikov0X100.00673986567764715530545357456264050620214770,000$
18Jesper Sellgren0X100.00573681566670835530585456456466050620243875,000$
Rayé
1Alex-Olivier Voyer0X100.00693875557974695451535658556365050630231966,000$
2Colton Beck0X100.006135925771737854585655535479710506303211,986,000$
3Peter Abbandonato0X100.006236885971697256706256576164660506302411,800,000$
4Riley Woods0X100.00583593586772785762605554566563050620242966,666$
5Declan McDonnell0X100.00583986556772775356545152555962050600201750,000$
6Matthew Hellickson0X100.00623974557164625430565357456466050610241925,000$
7Alex Kannok-Leipert0X100.00633974557265695430535256456264050600221750,000$
MOYENNE D’ÉQUIPE99.9665388259737576595259575856656505064
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
1Logan Thompson100.00798381877877797877797865730508002531,790,000$
2Pheonix Copley100.0075747586747375747375747084050770302867,000$
Rayé
1Kai Edmonds100.0075656373747375747375746165050730222891,999$
2Dereck Baribeau100.0069706996686769686769686369050720232986,000$
MOYENNE D’ÉQUIPE100.007573728674737574737574657305076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Niel75757575757575Can4350$


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
1Taro HiroseBinghamton Senateurs (OTT)LW1981018-480134661184713.11%137519.7623512471122360146.74%9200000.9600000002
2Jack QuinnBinghamton Senateurs (OTT)RW189817140226388275010.23%336220.111011339000071043.71%42100000.9400000200
3Brinson PasichnukBinghamton Senateurs (OTT)D194111560091937122610.81%3039620.840111233000035000.00%000000.7600000111
4Adam RaskaBinghamton Senateurs (OTT)RW1951015-210070326014408.33%331116.400669460002210040.14%14200000.9600000010
5Jayce HawrylukBinghamton Senateurs (OTT)LW/RW197815260442944183915.91%135218.550004170000112042.19%12800000.8500000112
6Colin TheisenBinghamton Senateurs (OTT)LW/RW164111520023244816368.33%529318.322571151000000030.77%2600001.0200000012
7Josh DunneBinghamton Senateurs (OTT)C197512-9195525265144110.77%636619.2822416631014391051.60%46900000.6600100000
8Henry BowlbyBinghamton Senateurs (OTT)LW193811-24019214415316.82%530816.251235310002350139.58%9600000.7100000001
9Nikita ScherbakBinghamton Senateurs (OTT)RW193811-82016366419624.69%338120.0521313630000481142.86%2800000.5800000100
10Cam LeeBinghamton Senateurs (OTT)D191910-2402215279143.70%2040021.100111962011049100.00%000000.5000000100
11Brayden PachalBinghamton Senateurs (OTT)D193710-314036231551620.00%2535818.86112321000013100.00%000000.5600000000
12Artyom SerikovBinghamton Senateurs (OTT)D19257-8100378238158.70%2333317.55112841000031110.00%000000.4200000000
13Zack HayesBinghamton Senateurs (OTT)D19347647564162481712.50%2645724.102131063000233000.00%000000.3100010010
14Bryce KindoppBinghamton Senateurs (OTT)RW1933632072428111810.71%122111.6700000000000040.87%11500000.5400000100
15Brayden BurkeBinghamton Senateurs (OTT)LW19235100110237128.70%21166.1500000000001020.00%500000.8600000010
16Jesper SellgrenBinghamton Senateurs (OTT)D19055-980171110680.00%2633517.67022431000043000.00%000000.3000000000
17Peter AbbandonatoBinghamton Senateurs (OTT)C10213-420020258128.00%113313.3100000000010141.62%19700000.4500000100
18Brandon BiroBinghamton Senateurs (OTT)LW19022000132410.00%0251.3301106011010057.14%1400001.5900000000
19Joe SnivelyBinghamton Senateurs (OTT)C911230031213347.69%2647.13000212000020043.93%10700000.6200000000
Statistiques d’équipe totales ou en moyenne33867119186-27140104564647012224899.56%183559416.55142741141633235124129544.73%184000000.6600110868
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
1Logan ThompsonBinghamton Senateurs (OTT)199610.8954.0393701635980100.0000190320
2Pheonix CopleyBinghamton Senateurs (OTT)50300.9442.352040081430010.0000019001
Statistiques d’équipe totales ou en moyenne249910.9043.73114201717410110.00001919321


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 moyenPlafond 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
Adam RaskaBinghamton Senateurs (OTT)RW212001-09-25No178 Lbs5 ft10NoNoNo3Pro & Farm900,000$691,935$700,000$0$0$No900,000$900,000$Lien
Alex Kannok-LeipertBinghamton Senateurs (OTT)D222000-07-20No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$576,612$700,000$0$0$NoLien
Alex-Olivier VoyerBinghamton Senateurs (OTT)RW231999-04-10No193 Lbs6 ft2NoNoNo1Pro & Farm966,000$742,677$966,000$0$0$NoLien
Artyom SerikovBinghamton Senateurs (OTT)D212000-12-28No192 Lbs6 ft1NoNoNo4Pro & Farm770,000$591,989$770,000$0$0$No770,000$770,000$770,000$Lien
Brandon BiroBinghamton Senateurs (OTT)LW241998-03-11No170 Lbs5 ft11NoNoNo3Pro & Farm766,666$589,426$766,666$0$0$No766,666$766,666$Lien
Brayden BurkeBinghamton Senateurs (OTT)LW251997-01-01No165 Lbs5 ft11NoNoNo3Pro & Farm775,000$595,833$775,000$0$0$No775,000$775,000$Lien
Brayden PachalBinghamton Senateurs (OTT)D231999-08-23No204 Lbs6 ft1NoNoNo4Pro & Farm750,000$576,612$765,002$0$0$No750,000$750,000$750,000$Lien
Brinson PasichnukBinghamton Senateurs (OTT)D251997-11-24No205 Lbs6 ft0NoNoNo1Pro & Farm950,250$730,568$950,250$0$0$NoLien
Bryce KindoppBinghamton Senateurs (OTT)RW231999-06-14No185 Lbs6 ft1NoNoNo4Pro & Farm1,500,000$1,153,225$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien
Cam LeeBinghamton Senateurs (OTT)D251997-02-18No190 Lbs6 ft0NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$NoLien
Colin TheisenBinghamton Senateurs (OTT)LW/RW251997-04-24No187 Lbs6 ft0NoNoNo3Pro & Farm775,000$595,833$775,000$0$0$No775,000$775,000$Lien
Colton BeckBinghamton Senateurs (OTT)LW321990-06-10No187 Lbs5 ft11NoNoNo1Pro & Farm1,986,000$1,526,870$650,000$0$0$NoLien
Declan McDonnellBinghamton Senateurs (OTT)RW202002-05-25No174 Lbs5 ft11NoNoNo1Pro & Farm750,000$576,612$700,000$0$0$NoLien
Dereck BaribeauBinghamton Senateurs (OTT)G231999-01-22No218 Lbs6 ft6NoNoNo2Pro & Farm986,000$758,053$986,000$0$0$No986,000$Lien
Henry BowlbyBinghamton Senateurs (OTT)LW251997-02-26No195 Lbs6 ft2NoNoNo1Pro & Farm850,000$653,494$600,000$0$0$NoLien
Jack QuinnBinghamton Senateurs (OTT)RW212001-09-19No185 Lbs6 ft0NoNoNo4Pro & Farm1,713,333$1,317,239$700,000$0$0$No1,713,333$1,713,333$1,713,333$Lien
Jayce HawrylukBinghamton Senateurs (OTT)LW/RW261996-01-01No196 Lbs5 ft11NoNoNo3Pro & Farm700,000$538,172$650,000$0$0$No700,000$700,000$Lien
Jesper SellgrenBinghamton Senateurs (OTT)D241998-06-11No169 Lbs5 ft11NoNoNo3Pro & Farm875,000$672,715$700,000$0$0$No875,000$875,000$Lien
Joe SnivelyBinghamton Senateurs (OTT)C261996-01-01No176 Lbs5 ft9NoYesNo2Pro & Farm755,000$580,456$925,002$0$0$No755,000$Lien
Josh DunneBinghamton Senateurs (OTT)C231998-12-08No210 Lbs6 ft4NoNoNo2Pro & Farm855,000$657,338$855,000$0$0$No855,000$Lien
Kai EdmondsBinghamton Senateurs (OTT)G222000-07-27No163 Lbs6 ft2NoNoNo2Pro & Farm891,999$685,784$891,999$0$0$No891,999$Lien
Logan ThompsonBinghamton Senateurs (OTT)G251997-02-25No201 Lbs6 ft4NoNoNo3Pro & Farm1,790,000$1,376,182$1,790,000$0$0$No1,790,000$1,790,000$Lien
Matthew HellicksonBinghamton Senateurs (OTT)D241998-03-21No184 Lbs6 ft0NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Nikita ScherbakBinghamton Senateurs (OTT)RW261995-12-30No192 Lbs6 ft2NoNoNo3Pro & Farm999,999$768,816$999,999$0$0$No999,999$999,999$Lien
Peter AbbandonatoBinghamton Senateurs (OTT)C241998-03-25No195 Lbs5 ft11NoNoNo1Pro & Farm1,800,000$1,383,870$650,000$0$0$NoLien
Pheonix CopleyBinghamton Senateurs (OTT)G301992-01-18No200 Lbs6 ft4NoNoNo2Pro & Farm867,000$666,564$650,000$0$0$No867,000$Lien
Riley WoodsBinghamton Senateurs (OTT)LW241998-06-25No181 Lbs5 ft10NoNoNo2Pro & Farm966,666$743,189$966,666$0$0$No966,666$Lien
Taro HiroseBinghamton Senateurs (OTT)LW261996-06-30No162 Lbs5 ft10NoNoNo3Pro & Farm750,000$576,612$925,000$0$0$No750,000$750,000$Lien
Zack HayesBinghamton Senateurs (OTT)D231999-04-24No219 Lbs6 ft3NoNoNo2Pro & Farm980,500$753,825$980,500$0$0$No980,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.17188 Lbs6 ft12.281,001,531$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jayce HawrylukJosh DunneNikita Scherbak30023
2Taro HiroseJack QuinnColin Theisen30023
3Henry BowlbyBryce KindoppAdam Raska24023
4Brayden BurkeJayce HawrylukBryce Kindopp16023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brinson PasichnukZack Hayes30041
2Brayden PachalCam Lee30131
3Artyom SerikovJesper Sellgren24041
4Brayden PachalZack Hayes16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henry BowlbyJosh DunneNikita Scherbak50122
2Jack QuinnAdam RaskaColin Theisen50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jesper SellgrenZack Hayes50122
2Artyom SerikovCam Lee50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Henry BowlbyNikita Scherbak50122
2Adam RaskaJosh Dunne50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom SerikovZack Hayes50122
2Jesper SellgrenCam Lee50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josh Dunne50122Artyom SerikovZack Hayes50122
2Nikita Scherbak50122Jesper SellgrenCam Lee50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam RaskaNikita Scherbak50122
2Henry BowlbyJosh Dunne50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brayden PachalZack Hayes50122
2Artyom SerikovCam Lee50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnJosh DunneNikita ScherbakBrayden PachalZack Hayes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnJosh DunneNikita ScherbakBrayden PachalZack Hayes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Biro, Henry Bowlby, Adam RaskaBrandon Biro, Henry BowlbyAdam Raska
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artyom Serikov, Jesper Sellgren, Zack HayesArtyom SerikovJesper Sellgren, Zack Hayes
Tirs de pénalité
Adam Raska, Nikita Scherbak, Jack Quinn, Josh Dunne, Henry Bowlby
Gardien
#1 : Logan Thompson, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Jack Quinn, Nikita Scherbak, Jayce Hawryluk, Josh Dunne, Brandon Biro, Henry Bowlby, Henry Bowlby, Colin Theisen, Adam Raska, Brayden Burke, Bryce Kindopp
Lignes de défense personnalisées en prolongation
Jesper Sellgren, Zack Hayes, Brayden Pachal, Cam Lee, Artyom Serikov


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
1Americans2010100089-1100010005411010000035-220.500813210026251511032222482274882512541100.00%6266.67%032972045.69%35279244.44%14231844.65%437298460142246121
2Checkers2110000079-21010000025-31100000054120.50071219002625151652222482274911633437114.29%13469.23%132972045.69%35279244.44%14231844.65%437298460142246121
3Condors2110000078-1000000000002110000078-120.5007111800262515157222248227480171843800.00%9277.78%032972045.69%35279244.44%14231844.65%437298460142246121
4Crunch220000001046110000004221100000062441.000102030002625151682222482274691910568337.50%50100.00%132972045.69%35279244.44%14231844.65%437298460142246121
5Griffins31200000611-51100000020220200000411-720.333610160126251511052222482274943518631317.69%9188.89%032972045.69%35279244.44%14231844.65%437298460142246121
6Marlies211000007701010000045-11100000032120.5007132000262515177222248227482248466350.00%40100.00%032972045.69%35279244.44%14231844.65%437298460142246121
7Providence Bruins20100100710-320100100710-30000000000010.25071118002625151852222482274761783913323.08%4175.00%032972045.69%35279244.44%14231844.65%437298460142246121
8Rockets20200000710-31010000057-21010000023-100.00071421102625151612222482274841421486116.67%8450.00%032972045.69%35279244.44%14231844.65%437298460142246121
9Silver Knights11000000321110000003210000000000021.000358002625151312222482274441112313133.33%60100.00%032972045.69%35279244.44%14231844.65%437298460142246121
10W-B/Scranton Penguins11000000523000000000001100000052321.000510150026251514922224822743450335120.00%000.00%032972045.69%35279244.44%14231844.65%437298460142246121
Total1989011006772-5934011003235-31055000003537-2190.500671191861126251517012222482274742183140456801417.50%641478.13%232972045.69%35279244.44%14231844.65%437298460142246121
_Since Last GM Reset1989011006772-5934011003235-31055000003537-2190.500671191861126251517012222482274742183140456801417.50%641478.13%232972045.69%35279244.44%14231844.65%437298460142246121
_Vs Conference1668011005762-5824011002933-4844000002829-1150.469571031601126251516132222482274618155110382691318.84%491275.51%232972045.69%35279244.44%14231844.65%437298460142246121
_Vs Division1558011005260-8824011002933-4734000002327-4130.43352931451126251515642222482274584150110349641218.75%491275.51%232972045.69%35279244.44%14231844.65%437298460142246121

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1919W26711918670174218314045611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
198911006772
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93411003235
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105500003537
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
801417.50%641478.13%2
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
22224822742625151
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
32972045.69%35279244.44%14231844.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
437298460142246121


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
1 - 2022-10-163Providence Bruins4Binghamton Senateurs2BLSommaire du match
3 - 2022-10-1823Binghamton Senateurs3Americans5ALSommaire du match
4 - 2022-10-1927Binghamton Senateurs1Griffins6ALSommaire du match
7 - 2022-10-2254Checkers5Binghamton Senateurs2BLSommaire du match
10 - 2022-10-2571Binghamton Senateurs3Marlies2AWSommaire du match
11 - 2022-10-2685Crunch2Binghamton Senateurs4BWSommaire du match
14 - 2022-10-2998Binghamton Senateurs6Crunch2AWSommaire du match
17 - 2022-11-01117Rockets7Binghamton Senateurs5BLSommaire du match
21 - 2022-11-05136Americans4Binghamton Senateurs5BWXSommaire du match
23 - 2022-11-07154Binghamton Senateurs3Griffins5ALSommaire du match
25 - 2022-11-09171Providence Bruins6Binghamton Senateurs5BLXSommaire du match
26 - 2022-11-10183Binghamton Senateurs2Rockets3ALSommaire du match
29 - 2022-11-13198Binghamton Senateurs5Checkers4AWSommaire du match
31 - 2022-11-15209Griffins0Binghamton Senateurs2BWSommaire du match
33 - 2022-11-17229Binghamton Senateurs5W-B/Scranton Penguins2AWSommaire du match
36 - 2022-11-20235Binghamton Senateurs4Condors6ALSommaire du match
37 - 2022-11-21250Marlies5Binghamton Senateurs4BLSommaire du match
39 - 2022-11-23275Silver Knights2Binghamton Senateurs3BWSommaire du match
42 - 2022-11-26291Binghamton Senateurs3Condors2AWSommaire du match
44 - 2022-11-28307islanders-Binghamton Senateurs-
48 - 2022-12-02327Binghamton Senateurs-IceHogs-
49 - 2022-12-03339Marlies-Binghamton Senateurs-
52 - 2022-12-06358Binghamton Senateurs-Providence Bruins-
53 - 2022-12-07369Binghamton Senateurs-Monsters-
55 - 2022-12-09379Marlies-Binghamton Senateurs-
58 - 2022-12-12389Binghamton Senateurs-Marlies-
59 - 2022-12-13405Rockets-Binghamton Senateurs-
63 - 2022-12-17434Wolves-Binghamton Senateurs-
64 - 2022-12-18450Binghamton Senateurs-Checkers-
66 - 2022-12-20464Iowa Wild-Binghamton Senateurs-
73 - 2022-12-27493Binghamton Senateurs-Wranglers-
74 - 2022-12-28502Eagles-Binghamton Senateurs-
77 - 2022-12-31523Binghamton Senateurs-Phantoms-
78 - 2023-01-01532Rockets-Binghamton Senateurs-
81 - 2023-01-04549Binghamton Senateurs-Admirals-
84 - 2023-01-07562Comets-Binghamton Senateurs-
86 - 2023-01-09582Binghamton Senateurs-Marlies-
88 - 2023-01-11593Binghamton Senateurs-Americans-
89 - 2023-01-12604Crunch-Binghamton Senateurs-
91 - 2023-01-14625Texas Stars-Binghamton Senateurs-
93 - 2023-01-16639Binghamton Senateurs-Reign-
94 - 2023-01-17656Comets-Binghamton Senateurs-
99 - 2023-01-22681Binghamton Senateurs-Firebirds-
100 - 2023-01-23690Binghamton Senateurs-Crunch-
102 - 2023-01-25706Providence Bruins-Binghamton Senateurs-
103 - 2023-01-26723Wolf Pack-Binghamton Senateurs-
106 - 2023-01-29741Binghamton Senateurs-Wolf Pack-
107 - 2023-01-30754Canucks-Binghamton Senateurs-
109 - 2023-02-01779Binghamton Senateurs-Wolves-
111 - 2023-02-03789Providence Bruins-Binghamton Senateurs-
115 - 2023-02-07816Phantoms-Binghamton Senateurs-
119 - 2023-02-11839Bears-Binghamton Senateurs-
121 - 2023-02-13848Binghamton Senateurs-IceHogs-
123 - 2023-02-15870Binghamton Senateurs-Griffins-
125 - 2023-02-17879Checkers-Binghamton Senateurs-
127 - 2023-02-19889Binghamton Senateurs-Iowa Wild-
128 - 2023-02-20907Binghamton Senateurs-Americans-
130 - 2023-02-22915Gulls-Binghamton Senateurs-
131 - 2023-02-23932Binghamton Senateurs-Griffins-
133 - 2023-02-25947Moose-Binghamton Senateurs-
137 - 2023-03-01972Americans-Binghamton Senateurs-
139 - 2023-03-03986Binghamton Senateurs-Bears-
142 - 2023-03-061000Binghamton Senateurs-Barracuda-
144 - 2023-03-081013Thunderbirds-Binghamton Senateurs-
146 - 2023-03-101026Binghamton Senateurs-islanders-
148 - 2023-03-121042Gulls-Binghamton Senateurs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-141065Binghamton Senateurs-Checkers-
152 - 2023-03-161074Crunch-Binghamton Senateurs-
153 - 2023-03-171089Binghamton Senateurs-Condors-
155 - 2023-03-191099Binghamton Senateurs-Providence Bruins-
157 - 2023-03-211112Monsters-Binghamton Senateurs-
161 - 2023-03-251138Americans-Binghamton Senateurs-
163 - 2023-03-271149Binghamton Senateurs-Comets-
165 - 2023-03-291170Checkers-Binghamton Senateurs-
169 - 2023-04-021192Binghamton Senateurs-Crunch-
170 - 2023-04-031197Binghamton Senateurs-Rockets-
171 - 2023-04-041213W-B/Scranton Penguins-Binghamton Senateurs-
174 - 2023-04-071225Binghamton Senateurs-Rockets-
176 - 2023-04-091242Roadrunners-Binghamton Senateurs-
179 - 2023-04-121265Binghamton Senateurs-Providence Bruins-
181 - 2023-04-141277Griffins-Binghamton Senateurs-
185 - 2023-04-181311Griffins-Binghamton Senateurs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance13,0828,485
Assistance PCT72.68%94.28%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2396 - 79.88% 96,874$871,865$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,904,442$ 2,468,809$ 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
3,099,964$ 143 15,615$ 2,232,945$




Binghamton Senateurs 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

Binghamton Senateurs 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 Senateurs 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

Binghamton Senateurs 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 Senateurs 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