Connexion

Binghamton Senateurs
GP: 10 | W: 4 | L: 6 | OTL: 0 | P: 8
GF: 27 | GA: 33 | PP%: 16.28% | PK%: 78.95%
DG: Gabriel Duquette | Morale : 50 | Moyenne d’équipe : 66
Prochain matchs #167 vs Rockets
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Centre de jeu
Americans
4-6-1, 9pts
1
FINAL
4 Binghamton Senateurs
4-6-0, 8pts
Team Stats
W1StreakL1
3-1-1Home Record3-2-0
1-5-0Away Record1-4-0
4-5-1Last 10 Games4-6-0
3.00Buts par match 2.70
3.36Buts contre par match 3.30
15.79%Pourcentage en avantage numérique16.28%
77.50%Pourcentage en désavantage numérique78.95%
Binghamton Senateurs
4-6-0, 8pts
2
FINAL
6 Americans
4-6-1, 9pts
Team Stats
L1StreakW1
3-2-0Home Record3-1-1
1-4-0Away Record1-5-0
4-6-0Last 10 Games4-5-1
2.70Buts par match 3.00
3.30Buts contre par match 3.36
16.28%Pourcentage en avantage numérique15.79%
78.95%Pourcentage en désavantage numérique77.50%
Rockets
6-2-2, 14pts
2022-08-03
Binghamton Senateurs
4-6-0, 8pts
Statistiques d’équipe
W1SéquenceL1
4-0-0Fiche domicile3-2-0
2-2-2Fiche visiteur1-4-0
6-2-210 derniers matchs4-6-0
2.90Buts par match 2.70
3.00Buts contre par match 3.30
8.70%Pourcentage en avantage numérique16.28%
76.92%Pourcentage en désavantage numérique78.95%
Binghamton Senateurs
4-6-0, 8pts
2022-08-04
Marlies
8-2-0, 16pts
Statistiques d’équipe
L1SéquenceW1
3-2-0Fiche domicile5-0-0
1-4-0Fiche visiteur3-2-0
4-6-010 derniers matchs8-2-0
2.70Buts par match 3.40
3.30Buts contre par match 2.90
16.28%Pourcentage en avantage numérique29.03%
78.95%Pourcentage en désavantage numérique74.51%
Providence Bruins
3-7-0, 6pts
2022-08-06
Binghamton Senateurs
4-6-0, 8pts
Statistiques d’équipe
L4SéquenceL1
2-3-0Fiche domicile3-2-0
1-4-0Fiche visiteur1-4-0
3-7-010 derniers matchs4-6-0
2.40Buts par match 2.70
3.10Buts contre par match 3.30
22.58%Pourcentage en avantage numérique16.28%
83.78%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Victoires
Logan Thompson
4
Pourcentage d’arrêts
Logan Thompson
0.914

Statistiques d’équipe
Buts pour
27
2.70 GFG
Tirs pour
362
36.20 Avg
Pourcentage en avantage numérique
16.3%
7 GF
Début de zone offensive
41.7%
Buts contre
33
3.30 GAA
Tirs contre
383
38.30 Avg
Pourcentage en désavantage numérique
78.9%
8 GA
Début de la zone défensive
41.6%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure22
Limite contact 51 / 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$
2Josh Dunne0X100.00814276578881665873565966576466050680232855,000$
3Nikita Scherbak0X100.00673886647983786357625859647165050680263999,999$
4Jayce Hawryluk0XX100.00843986647266716261646159646966050680263700,000$
5Taro Hirose0X100.00613594666386836771665856646768050670263750,000$
6Joe Snively0X100.0056367563658677647365665762666805067X0262755,000$
7Henry Bowlby0X100.00673683607980875852596057596567050670251850,000$
8Adam Raska0X100.00764062616674786057595862576163050660203900,000$
9Colin Theisen0X100.00643888637281656254616059636567050660253775,000$
10Brandon Biro0X100.00673688616680726166625758626466050650243766,666$
11Bryce Kindopp0X100.006337866074738759625758605963650506502341,500,000$
12Peter Abbandonato0X100.006236885971697256706256576164660506402411,800,000$
13Brinson Pasichnuk0X100.00534382617577766230605764516764050660241950,250$
14Zack Hayes0X100.00785274558781865430555260456362050660232980,500$
15Brayden Pachal0X100.00673878567974835830575661526365050650234750,000$
16Cam Lee0X100.00633972587377885730595356486567050640251700,000$
17Artyom Serikov0X100.00673986567764715530545357456264050620214770,000$
18Jesper Sellgren0X100.00573681566670835530585456456466050620243875,000$
Rayé
1Brayden Burke0X100.00563784626572766359665557636567050650253775,000$
2Alex-Olivier Voyer0X100.00693875557974695451535658556365050630231966,000$
3Colton Beck0X100.006135925771737854585655535479710506303211,986,000$
4Riley Woods0X100.00583593586772785762605554566563050630242966,666$
5Declan McDonnell0X100.00583986556772775356545152555962050600201750,000$
6Alex Kannok-Leipert0X100.00633974557265695430535256456264050610221750,000$
7Matthew Hellickson0X100.00623974557164625430565357456466050610241925,000$
MOYENNE D’ÉQUIPE100.0065388259737576595259575856656505065
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
1Jack QuinnBinghamton Senateurs (OTT)RW105611-2003315728478.77%225125.1212315340110290148.67%15000000.8800000010
2Nikita ScherbakBinghamton Senateurs (OTT)RW105510-34011183032216.67%421121.161236350000281047.95%7300000.9500000001
3Taro HiroseBinghamton Senateurs (OTT)LW10178-9207122810173.57%217817.83123635000020057.14%1400000.9000000000
4Joe SnivelyBinghamton Senateurs (OTT)C10358-320830344248.82%218318.34112435000010052.07%24200000.8700000000
5Josh DunneBinghamton Senateurs (OTT)C10347-58019192452212.50%218918.901237340000270145.11%23500000.7400000000
6Jayce HawrylukBinghamton Senateurs (OTT)LW/RW1034724022144411296.82%219319.3821314331011261057.14%1400000.7200000100
7Adam RaskaBinghamton Senateurs (OTT)RW101340801818309133.33%112912.9700000000001050.00%400000.6200000100
8Cam LeeBinghamton Senateurs (OTT)D10033-66013710590.00%1221321.30022336000131000.00%000000.2800000000
9Henry BowlbyBinghamton Senateurs (OTT)LW1030300061323102413.04%213113.1100001000000020.00%500000.4600000110
10Brayden PachalBinghamton Senateurs (OTT)D10033-6120138116130.00%1720920.98022636000027000.00%000000.2900000000
11Zack HayesBinghamton Senateurs (OTT)D1003321403174430.00%1222822.86000234000020000.00%000000.2600000001
12Colin TheisenBinghamton Senateurs (OTT)LW101232002890511.11%1818.1600000000080028.57%2800000.7400000010
13Jesper SellgrenBinghamton Senateurs (OTT)D10123-1206693311.11%1016216.2100000000014100.00%000000.3700000001
14Brinson PasichnukBinghamton Senateurs (OTT)D10022140517156180.00%923123.180001033000024000.00%000000.1700000000
15Bryce KindoppBinghamton Senateurs (OTT)RW10011200452330.00%2626.230001100000000.00%900000.3200000000
16Peter AbbandonatoBinghamton Senateurs (OTT)C9101000318229124.55%111713.0900000000000052.98%15100000.1700000000
17Brandon BiroBinghamton Senateurs (OTT)LW10000000003000.00%040.500002200000000.00%300000.0000000000
18Artyom SerikovBinghamton Senateurs (OTT)D1000001001557380.00%1615315.370000100005000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne179275077-267601862363621192727.46%97293316.39714217635911222484248.17%92800000.5200000333
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)104600.9143.3060000333830000.0000100120
Statistiques d’équipe totales ou en moyenne104600.9143.3060000333830000.0000100120


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)RW202001-09-25No178 Lbs5 ft10NoNoNo3Pro & Farm900,000$900,000$700,000$0$0$No900,000$900,000$Lien
Alex Kannok-LeipertBinghamton Senateurs (OTT)D222000-07-20No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$700,000$0$0$NoLien
Alex-Olivier VoyerBinghamton Senateurs (OTT)RW231999-04-10No193 Lbs6 ft2NoNoNo1Pro & Farm966,000$966,000$966,000$0$0$NoLien
Artyom SerikovBinghamton Senateurs (OTT)D212000-12-28No192 Lbs6 ft1NoNoNo4Pro & Farm770,000$770,000$770,000$0$0$No770,000$770,000$770,000$Lien
Brandon BiroBinghamton Senateurs (OTT)LW241998-03-11No170 Lbs5 ft11NoNoNo3Pro & Farm766,666$766,666$766,666$0$0$No766,666$766,666$Lien
Brayden BurkeBinghamton Senateurs (OTT)LW251997-01-01No165 Lbs5 ft11NoNoNo3Pro & Farm775,000$775,000$775,000$0$0$No775,000$775,000$Lien
Brayden PachalBinghamton Senateurs (OTT)D231999-08-23No204 Lbs6 ft1NoNoNo4Pro & Farm750,000$750,000$765,002$0$0$No750,000$750,000$750,000$Lien
Brinson PasichnukBinghamton Senateurs (OTT)D241997-11-24No205 Lbs6 ft0NoNoNo1Pro & Farm950,250$950,250$950,250$0$0$NoLien
Bryce KindoppBinghamton Senateurs (OTT)RW231999-06-14No185 Lbs6 ft1NoNoNo4Pro & Farm1,500,000$1,500,000$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$700,000$700,000$0$0$NoLien
Colin TheisenBinghamton Senateurs (OTT)LW251997-04-24No187 Lbs6 ft0NoNoNo3Pro & Farm775,000$775,000$775,000$0$0$No775,000$775,000$Lien
Colton BeckBinghamton Senateurs (OTT)LW321990-06-10No187 Lbs5 ft11NoNoNo1Pro & Farm1,986,000$1,986,000$650,000$0$0$NoLien
Declan McDonnellBinghamton Senateurs (OTT)RW202002-05-25No174 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$700,000$0$0$NoLien
Dereck BaribeauBinghamton Senateurs (OTT)G231999-01-22No218 Lbs6 ft6NoNoNo2Pro & Farm986,000$986,000$986,000$0$0$No986,000$Lien
Henry BowlbyBinghamton Senateurs (OTT)LW251997-02-26No195 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$600,000$0$0$NoLien
Jack QuinnBinghamton Senateurs (OTT)RW212001-09-19No185 Lbs6 ft0NoNoNo4Pro & Farm1,713,333$1,713,333$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$700,000$650,000$0$0$No700,000$700,000$Lien
Jesper SellgrenBinghamton Senateurs (OTT)D241998-06-11No169 Lbs5 ft11NoNoNo3Pro & Farm875,000$875,000$700,000$0$0$No875,000$875,000$Lien
Joe SnivelyBinghamton Senateurs (OTT)C261996-01-01No176 Lbs5 ft9NoYesNo2Pro & Farm755,000$755,000$925,002$0$0$No755,000$Lien
Josh DunneBinghamton Senateurs (OTT)C231998-12-08No210 Lbs6 ft4NoNoNo2Pro & Farm855,000$855,000$855,000$0$0$No855,000$Lien
Kai EdmondsBinghamton Senateurs (OTT)G222000-07-27No163 Lbs6 ft2NoNoNo2Pro & Farm891,999$891,999$891,999$0$0$No891,999$Lien
Logan ThompsonBinghamton Senateurs (OTT)G251997-02-25No201 Lbs6 ft4NoNoNo3Pro & Farm1,790,000$1,790,000$1,790,000$0$0$No1,790,000$1,790,000$Lien
Matthew HellicksonBinghamton Senateurs (OTT)D241998-03-21No184 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Nikita ScherbakBinghamton Senateurs (OTT)RW261995-12-30No192 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$999,999$0$0$No999,999$999,999$Lien
Peter AbbandonatoBinghamton Senateurs (OTT)C241998-03-25No195 Lbs5 ft11NoNoNo1Pro & Farm1,800,000$1,800,000$650,000$0$0$NoLien
Pheonix CopleyBinghamton Senateurs (OTT)G301992-01-18No200 Lbs6 ft4NoNoNo2Pro & Farm867,000$867,000$650,000$0$0$No867,000$Lien
Riley WoodsBinghamton Senateurs (OTT)LW241998-06-25No181 Lbs5 ft10NoNoNo2Pro & Farm966,666$966,666$966,666$0$0$No966,666$Lien
Taro HiroseBinghamton Senateurs (OTT)LW261996-06-30No162 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$925,000$0$0$No750,000$750,000$Lien
Zack HayesBinghamton Senateurs (OTT)D231999-04-24No219 Lbs6 ft3NoNoNo2Pro & Farm980,500$980,500$980,500$0$0$No980,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.10188 Lbs6 ft12.281,001,531$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taro HiroseJosh DunneJack Quinn30023
2Jayce HawrylukJoe SnivelyNikita Scherbak30023
3Henry BowlbyPeter AbbandonatoAdam Raska24023
4Colin TheisenJack QuinnBryce Kindopp16023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brinson PasichnukZack Hayes34041
2Brayden PachalCam Lee32041
3Artyom SerikovJesper Sellgren32041
4Brinson PasichnukZack Hayes2041
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jayce HawrylukJosh DunneJack Quinn50005
2Taro HiroseJoe SnivelyNikita Scherbak50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brinson PasichnukZack Hayes50104
2Brayden PachalCam Lee50104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack QuinnJayce Hawryluk50140
2Nikita ScherbakJosh Dunne50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brinson PasichnukZack Hayes50140
2Brayden PachalCam Lee50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Quinn50140Brinson PasichnukZack Hayes50140
2Jayce Hawryluk50140Brayden PachalCam Lee50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack QuinnJayce Hawryluk50122
2Nikita ScherbakJosh Dunne50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brinson PasichnukZack Hayes50122
2Brayden PachalCam Lee50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayce HawrylukJosh DunneJack QuinnBrinson PasichnukZack Hayes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayce HawrylukJosh DunneJack QuinnBrinson PasichnukZack Hayes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Biro, Henry Bowlby, Colin TheisenBrandon Biro, Henry BowlbyColin Theisen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artyom Serikov, Jesper Sellgren, Brayden PachalArtyom SerikovJesper Sellgren, Brayden Pachal
Tirs de pénalité
Jack Quinn, Jayce Hawryluk, Nikita Scherbak, Josh Dunne, Taro Hirose
Gardien
#1 : Logan Thompson, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Jack Quinn, Jayce Hawryluk, Nikita Scherbak, Josh Dunne, Taro Hirose, Joe Snively, Joe Snively, Henry Bowlby, Colin Theisen, Adam Raska, Bryce Kindopp
Lignes de défense personnalisées en prolongation
Brinson Pasichnuk, 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
1Americans2110000067-1110000004131010000026-420.5006111700101070841181341100782214407114.29%7271.43%017738745.74%19738651.04%7315547.10%2251522427613162
2Checkers1010000024-21010000024-20000000000000.0002460010107026118134110044121414000.00%70100.00%017738745.74%19738651.04%7315547.10%2251522427613162
3Crunch22000000945110000005321100000041341.000916250010107079118134110062168388225.00%40100.00%117738745.74%19738651.04%7315547.10%2251522427613162
4Griffins2110000057-2110000003121010000026-420.500591400101070761181341100811718359111.11%9277.78%017738745.74%19738651.04%7315547.10%2251522427613162
5Marlies1010000034-11010000034-10000000000000.0003690010107039118134110031104197228.57%2150.00%017738745.74%19738651.04%7315547.10%2251522427613162
6Providence Bruins1010000013-2000000000001010000013-200.000123001010702411813411004911820400.00%4250.00%017738745.74%19738651.04%7315547.10%2251522427613162
7Rockets1010000014-3000000000001010000014-300.0001230010107034118134110038910208112.50%5180.00%017738745.74%19738651.04%7315547.10%2251522427613162
Total1046000002733-65320000017134514000001020-1080.400275077001010703621181341100383977618643716.28%38878.95%117738745.74%19738651.04%7315547.10%2251522427613162
_Since Last GM Reset1046000002733-65320000017134514000001020-1080.400275077001010703621181341100383977618643716.28%38878.95%117738745.74%19738651.04%7315547.10%2251522427613162
_Vs Conference1046000002733-65320000017134514000001020-1080.400275077001010703621181341100383977618643716.28%38878.95%117738745.74%19738651.04%7315547.10%2251522427613162
_Vs Division1046000002733-65320000017134514000001020-1080.400275077001010703621181341100383977618643716.28%38878.95%117738745.74%19738651.04%7315547.10%2251522427613162

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L1275077362383977618600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600002733
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001713
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51400001020
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
43716.28%38878.95%1
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
1181341100101070
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
17738745.74%19738651.04%7315547.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2251522427613162


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
2 - 2022-07-1816Griffins1Binghamton Senateurs3BWSommaire du match
3 - 2022-07-1931Binghamton Senateurs1Providence Bruins3ALSommaire du match
5 - 2022-07-2146Binghamton Senateurs2Griffins6ALSommaire du match
7 - 2022-07-2360Checkers4Binghamton Senateurs2BLSommaire du match
8 - 2022-07-2473Binghamton Senateurs1Rockets4ALSommaire du match
10 - 2022-07-2691Marlies4Binghamton Senateurs3BLSommaire du match
11 - 2022-07-27105Binghamton Senateurs4Crunch1AWSommaire du match
12 - 2022-07-28122Crunch3Binghamton Senateurs5BWSommaire du match
14 - 2022-07-30140Americans1Binghamton Senateurs4BWSommaire du match
16 - 2022-08-01156Binghamton Senateurs2Americans6ALSommaire du match
18 - 2022-08-03167Rockets-Binghamton Senateurs-
19 - 2022-08-04181Binghamton Senateurs-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
21 - 2022-08-06205Providence Bruins-Binghamton Senateurs-
22 - 2022-08-07215Binghamton Senateurs-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$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
0$ 8 0$ 0$




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


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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