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Binghampton Senators
GP: 10 | W: 4 | L: 5 | OTL: 1 | P: 9
GF: 49 | GA: 46 | PP%: 27.27% | PK%: 75.00%
DG: Yan Ferron | Morale : 48 | Moyenne d’équipe : 57
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Centre de jeu
Binghampton Senators
4-5-1, 9pts
3
FINAL
5 Milwaukee Admirals
2-7-1, 5pts
Team Stats
SOW1StreakL1
3-2-0Home Record1-4-0
1-3-1Away Record1-3-1
4-5-1Last 10 Games2-7-1
4.90Buts par match 5.50
4.60Buts contre par match 7.40
27.27%Pourcentage en avantage numérique48.28%
75.00%Pourcentage en désavantage numérique55.17%
Milwaukee Admirals
2-7-1, 5pts
4
FINAL
5 Binghampton Senators
4-5-1, 9pts
Team Stats
L1StreakSOW1
1-4-0Home Record3-2-0
1-3-1Away Record1-3-1
2-7-1Last 10 Games4-5-1
5.50Buts par match 4.90
7.40Buts contre par match 4.60
48.28%Pourcentage en avantage numérique27.27%
55.17%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Philipp KurashevButs
Philipp Kurashev
7
Vinni LettieriPasses
Vinni Lettieri
9
Vinni LettieriPoints
Vinni Lettieri
15
Plus/Moins
Nick Cicek
4
Jonas JohanssonVictoires
Jonas Johansson
3
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.893

Statistiques d’équipe
Buts pour
49
4.90 GFG
Tirs pour
375
37.50 Avg
Pourcentage en avantage numérique
27.3%
9 GF
Début de zone offensive
34.6%
Buts contre
46
4.60 GAA
Tirs contre
364
36.40 Avg
Pourcentage en désavantage numérique
75.0%
8 GA
Début de la zone défensive
32.9%
Informations de l'équipe

Directeur généralYan Ferron
EntraîneurGord Murphy
DivisionSteve Yzerman
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 50
Espoirs40


Historique d'équipe

Saison actuelle4-5-1 (9PTS)
Historique112-112-15 (0.469%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)1-4
Coupe Stanley0


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
1Philipp Kurashev0XXX100.006542937670638865446759642558586550630221750,000$
2Vinni Lettieri0XX100.007843936767636770516370592553536850610271750,000$
3Beck Malenstyn (R)0XXX100.009396796878536460315058742545456350590242762,500$
4Ben Jones (R)0X100.006868696668757961765265606244446350590231700,000$
5Justin Kirkland0XXX100.007070696370606064505865626245456350580251750,000$
6Nate Schnarr (R)0X100.007571836171646561765662645944446350580231750,000$
7Brandon Gignac (R)0XX100.007163917163525061765758655555556250580241700,000$
8Chris Wilkie0X100.007670917070484660505957645444446150570251700,000$
9Jonah Gadjovich0XX100.008999547480526055345555602548485950570231750,000$
10Tyler Angle (R)0XX100.006962866362636459745954605144445950560212850,833$
11Oskar Back (R)0XX100.008276966376565752655347654544445750550222850,333$
12Gabriel Fontaine (R)0XX100.007874866474484753665346654450505550540251700,000$
13Tobias Bjornfot0X100.007343967473717857254947762557576150640211894,167$
14Mark Friedman0X100.007566757368625159255148752547476050610262775,000$
15Joseph Cecconi0X100.007980776380636848254139633744445350570251750,000$
16Nick Cicek (R)0X100.007476686376515153254942614044445350550222835,000$
17Roland McKeown (R)0X100.007472776572525350254541613944445350550262762,500$
18Philip Kemp (R)0X100.008076886276535546253541633944445250550231786,667$
Rayé
1Anthony Greco0XX100.0072629467626971665065616658555565506102800$
2Danila Klimovich (R)0XX100.007876846776535451644751634844445650540193855,833$
3Keean Washkurak (R)0X100.007066786366555555694758605544445850540202862,500$
4Kyle Olson (R)0X100.0067647363646164535046565853444457505402300$
5Carson Gicewicz0XXX100.0077797260795557496147466244444454505302500$
6Carson Focht (R)0X100.006868686568545649614746574444445250520221821,667$
7Matteo Gennaro (R)0X100.007470836870414050504450614844445450520251700,000$
8Carl Neill (R)0X100.008278917078383745253639633744445150540251700,000$
9Mitch Eliot (R)0X100.0070707165705659472537415839444450505402400$
10Cole Moberg (R)0X100.0076718858715051502543416239444453505402100$
11Jake Massie (R)0X100.007266866466434443253041583944444950510251700,000$
MOYENNE D’ÉQUIPE100.00757081667156585546505163434747585056
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
1Jonas Johansson100.00595150906552836065597546466250620261750,000$
2Jon Gillies100.00604848916554696165607546466150610281750,000$
Rayé
1Collin Delia100.00524658805555505655543046465350550281750,000$
MOYENNE D’ÉQUIPE100.0057485287625467596258604646595059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gord Murphy68786968837765CAN55170,000$


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
1Vinni LettieriBinghampton Senators (OTT)C/RW8691510091434143817.65%517421.803475210000211021.8016145001.7212000121
2Philipp KurashevBinghampton Senators (OTT)C/LW/RW8781519513943121716.28%717221.573475200001190021.5722986001.7402001011
3Brandon GignacBinghampton Senators (OTT)C/LW1054925510102582020.00%113713.75000117000010013.752665001.3100001201
4Beck MalenstynBinghampton Senators (OTT)C/LW/RW844802410177245816.67%415619.561123190000111019.561521001.0201011002
5Jonah GadjovichBinghampton Senators (OTT)LW/RW101784100110173155.88%212612.6200002000070012.62742001.2700000000
6Justin KirklandBinghampton Senators (OTT)C/LW/RW1043719522430112213.33%214514.56000218000000114.561491000.9600100110
7Chris WilkieBinghampton Senators (OTT)RW10347200932861710.71%412412.4700003000000012.47756001.1200000010
8Nick CicekBinghampton Senators (OTT)D1024642315105176411.76%919619.63000117000013100.00%0110000.6100201010
9Joseph CecconiBinghampton Senators (OTT)D1015609517122510134.00%2724924.92112426000124000.00%0216000.4801010001
10Ben JonesBinghampton Senators (OTT)C8235-12559101371115.38%612315.44000017000060015.4410474000.8100010000
11Tyler AngleBinghampton Senators (OTT)C/LW10415-4001221571326.67%1858.600000000000008.603931001.1600000010
12Nate SchnarrBinghampton Senators (OTT)C10415255137189822.22%413313.3500006000050113.355934000.7500010000
13Tobias BjornfotBinghampton Senators (OTT)D8044-500101611750.00%1921226.58000224000022000.00%049000.3800000000
14Oskar BackBinghampton Senators (OTT)C/RW10134-255105156106.67%6878.710000000000018.71142000.9200001000
15Carl NeillBinghampton Senators (OTT)D90330007124530.00%613314.840000000008000.00%004000.4500000000
16Gabriel FontaineBinghampton Senators (OTT)C/LW10123-510106312358.33%4787.810000000000000.00%110000.7700110000
17Roland McKeownBinghampton Senators (OTT)D10022095131312930.00%1318919.00000118000013000.00%0414000.2100001000
18Philip KempBinghampton Senators (OTT)D10022222108512220.00%1013313.390000100001000.00%007000.3000200000
Statistiques d’équipe totales ou en moyenne169456911421658520613735513021412.68%130266115.75810182421500021553356.95%5187797000.8616656476
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
1Jonas JohanssonBinghampton Senators (OTT)53200.8933.953040020187116111.000351000
2Jon GilliesBinghampton Senators (OTT)41110.8804.26197201411762000.667337000
3Collin DeliaBinghampton Senators (OTT)20200.8315.6110700105932000.00%022000
Statistiques d’équipe totales ou en moyenne114510.8794.3460920443632101161010000


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 Plafond 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
Anthony GrecoBinghampton Senators (OTT)LW/RW281993-09-30No172 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Beck MalenstynBinghampton Senators (OTT)C/LW/RW241998-02-04Yes200 Lbs6 ft3NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien
Ben JonesBinghampton Senators (OTT)C231999-02-25Yes187 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Brandon GignacBinghampton Senators (OTT)C/LW241997-11-07Yes170 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Carl NeillBinghampton Senators (OTT)D251996-07-06Yes215 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Carson FochtBinghampton Senators (OTT)C222000-02-04Yes181 Lbs6 ft1NoNoNo1Pro & Farm821,667$0$0$NoLien / Lien NHL
Carson GicewiczBinghampton Senators (OTT)C/LW/RW251997-03-04No212 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Chris WilkieBinghampton Senators (OTT)RW251996-07-10No190 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Cole MobergBinghampton Senators (OTT)D212000-10-17Yes187 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Collin DeliaBinghampton Senators (OTT)G281994-06-19No208 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Danila KlimovichBinghampton Senators (OTT)C/RW192003-01-09Yes205 Lbs6 ft2NoNoNo3Pro & Farm855,833$0$0$No855,833$855,833$
Gabriel FontaineBinghampton Senators (OTT)C/LW251997-04-30Yes203 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Jake MassieBinghampton Senators (OTT)D251997-01-21Yes179 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Jon GilliesBinghampton Senators (OTT)G281994-01-21No223 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jonah GadjovichBinghampton Senators (OTT)LW/RW231998-10-12No209 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jonas JohanssonBinghampton Senators (OTT)G261995-09-18No220 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Joseph CecconiBinghampton Senators (OTT)D251997-05-23No215 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Justin KirklandBinghampton Senators (OTT)C/LW/RW251996-08-02No183 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Keean WashkurakBinghampton Senators (OTT)C202001-08-16Yes185 Lbs5 ft10NoNoNo2Pro & Farm862,500$0$0$No862,500$
Kyle OlsonBinghampton Senators (OTT)RW231999-03-22Yes179 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Mark FriedmanBinghampton Senators (OTT)D261995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien / Lien NHL
Matteo GennaroBinghampton Senators (OTT)LW251997-03-30Yes187 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Mitch EliotBinghampton Senators (OTT)D241998-02-06Yes190 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nate SchnarrBinghampton Senators (OTT)C231999-02-25Yes185 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nick CicekBinghampton Senators (OTT)D222000-05-29Yes201 Lbs6 ft3NoNoNo2Pro & Farm835,000$0$0$No835,000$Lien
Oskar BackBinghampton Senators (OTT)C/RW222000-03-12Yes205 Lbs6 ft2NoNoNo2Pro & Farm850,333$0$0$No850,333$
Philip KempBinghampton Senators (OTT)D231999-02-12Yes203 Lbs6 ft3NoNoNo1Pro & Farm786,667$0$0$NoLien / Lien NHL
Philipp KurashevBinghampton Senators (OTT)C/LW/RW221999-10-12No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Roland McKeownBinghampton Senators (OTT)D261996-01-20Yes195 Lbs6 ft1NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien
Tobias BjornfotBinghampton Senators (OTT)D212001-04-06No203 Lbs6 ft0NoNoNo1Pro & Farm894,167$0$0$NoLien / Lien NHL
Tyler AngleBinghampton Senators (OTT)C/LW212000-09-30Yes172 Lbs5 ft10NoNoNo2Pro & Farm850,833$0$0$No850,833$Lien / Lien NHL
Vinni LettieriBinghampton Senators (OTT)C/RW271995-02-06No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3223.94195 Lbs6 ft11.13647,094$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynPhilipp KurashevVinni Lettieri40122
2Justin KirklandBen JonesChris Wilkie30122
3Jonah GadjovichBrandon GignacOskar Back20122
4Tyler AngleNate SchnarrPhilipp Kurashev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotMark Friedman40122
2Joseph CecconiNick Cicek30122
3Roland McKeownPhilip Kemp20122
4Tobias BjornfotMark Friedman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynPhilipp KurashevVinni Lettieri60122
2Justin KirklandBen JonesChris Wilkie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotMark Friedman60122
2Joseph CecconiNick Cicek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Philipp KurashevVinni Lettieri60122
2Beck MalenstynBen Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotMark Friedman60122
2Joseph CecconiNick Cicek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Philipp Kurashev60122Tobias BjornfotMark Friedman60122
2Vinni Lettieri40122Joseph CecconiNick Cicek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Philipp KurashevVinni Lettieri60122
2Beck MalenstynBen Jones40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotMark Friedman60122
2Joseph CecconiNick Cicek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynPhilipp KurashevVinni LettieriTobias BjornfotMark Friedman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynPhilipp KurashevVinni LettieriTobias BjornfotMark Friedman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Fontaine, Brandon Gignac, Nate SchnarrGabriel Fontaine, Brandon GignacNate Schnarr
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Roland McKeown, Philip Kemp, Joseph CecconiRoland McKeownPhilip Kemp, Joseph Cecconi
Tirs de pénalité
Philipp Kurashev, Vinni Lettieri, Beck Malenstyn, Ben Jones, Justin Kirkland
Gardien
#1 : Jonas Johansson, #2 : Jon Gillies


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
1Boisbriand Armada2200000015781100000043111000000114741.000152540001025131601311361067742267419555.56%6183.33%011820856.73%10819854.55%10819555.38%2261252048417896
2Chicago Wolves11000000725110000007250000000000021.000712190010251314213113610671964255120.00%2150.00%011820856.73%10819854.55%10819555.38%2261252048417896
3Lowell Devils20200000611-51010000036-31010000035-200.0006101610102513165131136106767383939600.00%7185.71%011820856.73%10819854.55%10819555.38%2261252048417896
4Milwaukee Admirals2010001089-1100000105411010000035-220.50081220001025131801311361067752327674125.00%7357.14%011820856.73%10819854.55%10819555.38%2261252048417896
5Toronto Marlies2010000179-21010000045-11000000134-110.25071219001025131901311361067802836447228.57%8275.00%011820856.73%10819854.55%10819555.38%2261252048417896
6Victoriaville Tigres1010000068-2000000000001010000068-200.00068140010251313813113610674920422200.00%20100.00%011820856.73%10819854.55%10819555.38%2261252048417896
Total103500011494635220001023203513000012626090.4504979128101025131375131136106736413717723833927.27%32875.00%011820856.73%10819854.55%10819555.38%2261252048417896
_Since Last GM Reset103500011494635220001023203513000012626090.4504979128101025131375131136106736413717723833927.27%32875.00%011820856.73%10819854.55%10819555.38%2261252048417896
_Vs Conference925000114244-2412000101618-2513000012626070.3894267109101025131333131136106734513117321328828.57%30776.67%011820856.73%10819854.55%10819555.38%2261252048417896

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
109SOW1497912837536413717723810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103500114946
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52200102320
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51300012626
Derniers 10 matchs
WLOTWOTL SOWSOL
350011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33927.27%32875.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
13113610671025131
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
11820856.73%10819854.55%10819555.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2261252048417896


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 - 2022-09-2614Chicago Wolves2Binghampton Senators7BWSommaire du match
3 - 2022-09-2728Binghampton Senators6Victoriaville Tigres8ALSommaire du match
5 - 2022-09-2948Lowell Devils6Binghampton Senators3BLSommaire du match
6 - 2022-09-3066Toronto Marlies5Binghampton Senators4BLSommaire du match
7 - 2022-10-0173Binghampton Senators3Lowell Devils5ALSommaire du match
9 - 2022-10-0394Binghampton Senators11Boisbriand Armada4AWSommaire du match
10 - 2022-10-04105Boisbriand Armada3Binghampton Senators4BWSommaire du match
12 - 2022-10-06126Binghampton Senators3Toronto Marlies4ALXXSommaire du match
13 - 2022-10-07133Binghampton Senators3Milwaukee Admirals5ALSommaire du match
14 - 2022-10-08145Milwaukee Admirals4Binghampton Senators5BWXXSommaire du match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,070,700$ 2,022,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Binghampton Senators 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
1Vinni Lettieri3082644046680920660876168815.64%264795325.82641041681444043624458.0541.68020
2Anthony Greco40624124748816282507493144716.66%258738318.1949701191310222240548.63121.3244
3Kevin Porter32023622846444536556504108421.77%244636419.89567212813200024241655.86121.46012
4Eric Robinson328152268420-4100472448114013.33%156594018.1152721241240001281245.6581.4148
5Tobias Bjornfot364192172361086304966956093.12%549945225.97934433404412110.00%00.5000

Binghampton Senators 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
1Jon Gillies371166148200.8794.5020125320150812490702239120.79468
2Jonas Johansson43261320.8974.132557001761709989221.0003
3Collin Delia1931300.8545.808890086588353020.00%0

Binghampton Senators 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
Saison régulière
202082313903432367393-26411819021101971851241132001322170208-3880367580947307914913382669762980911343063992169418041917740.31%2478864.37%4839150655.71%1009186953.99%811149354.32%162082117237791609811
202082313903432367393-26411819021101971851241132001322170208-3880367580947307914913382669762980911343063992169418041917740.31%2478864.37%4839150655.71%1009186953.99%811149354.32%162082117237791609811
202178323403432373370339171900120197201-43915150331217616978237361098330841591248299095910679463230591010126417572126731.60%2427569.01%8906170953.01%852168150.68%782147952.87%166192416107181449725
Total Saison régulière2429411209129611071156-4912153570434059157120121415505956516585-6924211071770287790242457390248328248330272768100918529944652536559422137.21%73625165.90%162584472154.73%2870541952.96%2404446553.84%490125675057227746672347
Séries éliminatoires
2021514000002231-920200000811-3312000001420-6222386000661001955573616203665012620735.00%15473.33%05912746.46%5711649.14%488854.55%10760103479346
Total Séries éliminatoires514000002231-920200000811-3312000001420-6222386000661001955573616203665012620735.00%15473.33%05912746.46%5711649.14%488854.55%10760103479346

Binghampton Senators 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
1Philipp Kurashev55914-50832619.23%310220.56246300000047.2402.7200
2Leo Komarov53912-54392114.29%311122.33235200000038.4602.1500
3Jonah Gadjovich5336-301052015.00%19418.87123100000033.3301.2700
4Cole Schneider5505-710751241.67%38316.64101100000042.8601.2000
5Cal O'Reilly5033-20814110.00%27915.99011000000069.2300.7500

Binghampton Senators 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
1Jonas Johansson51210.8655.40200201813376000.00%0
2Jon Gillies30100.8147.5710300137040000.00%0