Day : 200
PHI - 2
CAR - 6
Day : 201

Binghamton Senators
GP: 82 | W: 50 | L: 27 | OTL: 5 | P: 105
GF: 273 | GA: 223 | PP%: 15.35% | PK%: 83.20%
DG: Alex Bélanger | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Binghamton Senators
50-27-5, 105pts
3
FINAL
4 Trois-Rivières Lions
50-25-7, 107pts
Team Stats
W1SéquenceW5
27-10-4Fiche domicile33-6-2
23-17-1Fiche domicile17-19-5
6-3-1Derniers 10 matchs7-2-1
3.33Buts par match 3.38
2.72Buts contre par match 2.76
15.35%Pourcentage en avantage numérique17.12%
83.20%Pourcentage en désavantage numérique84.08%
Bridgeport Sound Tigers
39-37-6, 84pts
1
FINAL
2 Binghamton Senators
50-27-5, 105pts
Team Stats
L4SéquenceW1
20-17-4Fiche domicile27-10-4
19-20-2Fiche domicile23-17-1
5-5-0Derniers 10 matchs6-3-1
3.06Buts par match 3.33
3.54Buts contre par match 2.72
14.05%Pourcentage en avantage numérique15.35%
77.83%Pourcentage en désavantage numérique83.20%
Meneurs d'équipe
Buts
Devin Shore
49
Passes
Maxim Groshev
38
Points
Devin Shore
86
Plus/Moins
Brinson Pasichnuk
24
Victoires
Garret Sparks
43
Pourcentage d’arrêts
Garret Sparks
0.919

Statistiques d’équipe
Buts pour
273
3.33 GFG
Tirs pour
2733
33.33 Avg
Pourcentage en avantage numérique
15.4%
39 GF
Début de zone offensive
39.0%
Buts contre
223
2.72 GAA
Tirs contre
2576
31.41 Avg
Pourcentage en désavantage numérique
83.2%%
41 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralAlex Bélanger
EntraîneurDon Granato
DivisionGrands Lacs
ConférenceHamel
CapitaineMaxwell Reinhart
Assistant #1Tanner Jeannot
Assistant #2Andrew Nielsen


Informations de l’aréna

Capacité3,000
Assistance2,430
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 50
Espoirs11


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
1Joseph Garreffa (R)XX100.005020998268828779657270657264645500N0243900,000$
2Tanner Jeannot (R) (A)XX100.00924776768884867867737371727480550002611,200,000$
3Blake Speers (R)XX100.007138868080857578737371726873736500N02631,000,000$
4Jens Lööke (R)XX100.0067319780788379776571706770727045000263900,000$
5Tye Felhaber (R)XX100.007638827979858577717169666672705500N0253800,000$
6Connor McClennon (R)X100.0063257874718079776670706579626365000213850,000$
7Maxim Groshev (R)XX100.0067258180748278765571716475686365000223850,000$
8Nathan Smith (R)X100.008153747882818178757271677563716500N0253900,000$
9Maxwell Reinhart (C)XXX100.007840837881817878797372727698991500N03121,000,000$
10Brendan GaunceXX100.0086388779878382787574726872808015000293800,000$
11Devin ShoreXXX100.008235888182838581757475687378781500N02931,250,000$
12Jayden Halbgewachs (R)XX100.00562397776880777872707168726464450002611,200,000$
13Mac Hollowell (R)X100.0074308179728183785273658270676855000251800,000$
14Yegor Rykov (R)X100.009044797583808077507368886073736500N02631,000,000$
15Brinson Pasichnuk (R)X100.00854581778385857850746586647175550002611,400,000$
16Andrew Nielsen (A)X100.00894675749179797650756889657073650002711,975,000$
17Jack Bar (R)X100.0083537174807882755069618360636565000212750,000$
18Cody DonagheyX100.00813882777978727550746887617277550002711,200,000$
Rayé
1Jack Gorniak (R)XX100.0065359173778079727267666870616445000241750,000$
2Aarne Talvitie (R)XX100.0061409275768278767569696772656755000241500,000$
3Kole Lind (R)X100.0078408378788172746573706770717055000251950,000$
4Mark FriedmanX100.0083467881768074765071638559766955000283750,000$
5Jalen ChatfieldX100.00854084768182747650695885557473705000273750,000$
6Hunter Drew (R)X100.0093497272898177755069658660646455000251900,000$
MOYENNE D’ÉQUIPE100.007738837779827977637268746871717500
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 moyen
1Anton Krasotkin (R)100.008380848186838383848584706565000262900,000$
2Garret Sparks100.0086818385898789878787857072650003011,000,000$
Rayé
1Yevgeni Alikin100.0084818383858484848484847165650002911,000,000$
MOYENNE D’ÉQUIPE100.00848183838785858585858470676500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Granato82818382758270USA5711,250,000$


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
1Devin ShoreBinghamton Senators (OTT)C/LW/RW82493786151601308630710019615.96%30152418.591271962237000199353.09%144118321021.13120001085
2Maxim GroshevBinghamton Senators (OTT)LW/RW822138591526067441946112610.82%15147317.969101945237000033540.54%7412317000.8035000056
3Nathan SmithBinghamton Senators (OTT)C8121345512260121491626710012.96%14108513.4027916123000005254.24%71912413001.0101000630
4Blake SpeersBinghamton Senators (OTT)C/RW821935541412065731865210610.22%33154918.9021416261981015985244.20%1389623000.7002000224
5Joseph GarreffaBinghamton Senators (OTT)LW/RW822132537001647228771249.21%19141017.20268362010111474138.10%6314418000.7502000342
6Maxwell ReinhartBinghamton Senators (OTT)C/LW/RW8215304512200100112197751377.61%22154318.8324623110426243094154.02%13059433000.5805000300
7Tye FelhaberBinghamton Senators (OTT)C/LW8213304361806844147501058.84%12106512.990338431012122056.00%509611000.8100000231
8Tanner JeannotBinghamton Senators (OTT)LW/RW6820204019400136571454210413.79%30116317.1100001213162521163.49%636815000.6900000066
9Yegor RykovBinghamton Senators (OTT)D761228401956014816412347689.76%118167922.10358262040336156200.00%02174000.4800000432
10Connor McClennonBinghamton Senators (OTT)RW77181937121005249137427413.14%1897712.7043724156000003143.24%37579000.7613000412
11Jens LöökeBinghamton Senators (OTT)LW/RW78121830-36203663142391008.45%15100912.94000160001171041.67%4811917000.5900000011
12Cody DonagheyBinghamton Senators (OTT)D568223011200691098936348.99%103125222.3711214110000184110.00%01262000.4800000121
13Jayden HalbgewachsBinghamton Senators (OTT)C/LW781414286001036111396012.61%1379210.16000000224754035.29%347511000.7100000213
14Brendan GaunceBinghamton Senators (OTT)C/LW521017271360563694374310.64%955710.72000000000280155.11%274473000.9700000112
15Kole LindBinghamton Senators (OTT)RW74717248160532610128636.93%107349.9300000000002036.84%195816000.6500000023
16Andrew NielsenBinghamton Senators (OTT)D8251823082017817411648664.31%167178721.8013414870112206110.00%01097000.2600000200
17Brinson PasichnukBinghamton Senators (OTT)D82319222446013316812545592.40%137183322.36000101050115221000.00%010101000.2400000000
18Mac HollowellBinghamton Senators (OTT)D735152021220721149039435.56%85135918.6214529218000147100.00%0752000.2900000100
19Jack BarBinghamton Senators (OTT)D6911617117010861117625301.32%62107915.6500013125000018000.00%0457000.3100000000
20Aarne TalvitieBinghamton Senators (OTT)C/LW464711900102139152510.26%113988.66000000000110147.97%123148000.5500000001
21Jalen ChatfieldBinghamton Senators (OTT)D4208858045713514150.00%5364315.33000130110101000.00%0046000.2500000002
22Hunter DrewBinghamton Senators (OTT)D1633621001320115627.27%1717510.9600000000016100.00%009000.6800000010
23Mark FriedmanBinghamton Senators (OTT)D12000520121110440.00%101189.8900011800000000.00%003000.0000000000
24Jack GorniakBinghamton Senators (OTT)C/LW3000000000000.00%093.0600000000000025.00%410000.0000000000
Statistiques d’équipe totales ou en moyenne15572814777582105081016761685286598716889.81%10032522416.203967106349218981220691720492052.57%43921363716020.60520000414341
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
1Garret SparksBinghamton Senators (OTT)68431950.9192.54408110317321321160210.706176715944
2Anton KrasotkinBinghamton Senators (OTT)157800.8963.168740146443249001.00021567100
Statistiques d’équipe totales ou en moyenne83502750.9152.65495510421925751409211982821044


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2023Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029
Attaquant
Aarne TalvitieC/LW241998-01-02 00:30:45TW 10.00%850,000$RFA ( Groupe: 2 ) [Age: 25]
Blake SpeersC/RW261996-01-02 04:49:04NT TW 30.00%1,000,000$1,000,000$1,000,000$UFA [Age: 29]
Brendan GaunceC/LW291993-01-22 04:23:06TW 30.00%800,000$800,000$800,000$UFA [Age: 32]
Connor McClennonRW212001-01-02 10:59:46TW 30.00%850,000$850,000$850,000$RFA ( Groupe: 2 ) [Age: 24]
Devin ShoreC/LW/RW291993-01-22 06:34:22NT TW 30.00%1,250,000$1,250,000$1,250,000$UFA [Age: 32]
Jack GorniakC/LW241998-01-02 00:15:19TW 10.00%750,000$RFA ( Groupe: 2 ) [Age: 25]
Jayden HalbgewachsC/LW261996-01-22 08:25:00TW 10.00%1,200,000$RFA ( Groupe: 2 ) [Age: 27]
Jens LöökeLW/RW261996-01-02 05:01:44TW 30.00%900,000$900,000$900,000$UFA [Age: 29]
Joseph GarreffaLW/RW241998-01-02 09:08:54NT TW 30.00%900,000$900,000$900,000$RFA ( Groupe: 2 ) [Age: 27]
Kole LindRW251997-01-22 09:20:47TW 10.00%950,000$RFA ( Groupe: 2 ) [Age: 26]
Maxim GroshevLW/RW222000-01-02 11:10:15TW 30.00%850,000$850,000$850,000$RFA ( Groupe: 2 ) [Age: 25]
Maxwell ReinhartC/LW/RW311991-01-22 12:27:33NT TW 20.00%1,000,000$1,000,000$UFA [Age: 33]
Nathan SmithC251997-01-02 18:51:24NT TW 30.00%900,000$900,000$900,000$UFA [Age: 28]
Tanner JeannotLW/RW261996-01-02 23:47:56TW 10.00%1,200,000$RFA ( Groupe: 2 ) [Age: 27]
Tye FelhaberC/LW251997-01-02 05:53:06NT TW 30.00%800,000$800,000$800,000$UFA [Age: 28]
MOYENNE (15)25.530.00%0$9,250,000$8,250,000$0$0$0$0$
Défenseur
Andrew NielsenD271995-01-22 03:04:00TW 10.00%1,975,000$UFA [Age: 28]
Brinson PasichnukD261996-01-02 00:11:08TW 10.00%1,400,000$RFA ( Groupe: 2 ) [Age: 27]
Cody DonagheyD271995-01-22 02:19:45TW 10.00%1,200,000$UFA [Age: 28]
Hunter DrewD251997-01-22 02:57:24TW 10.00%900,000$RFA ( Groupe: 2 ) [Age: 26]
Jack BarD212001-01-02 04:07:02TW 20.00%750,000$750,000$RFA ( Groupe: 1 )[Age: 23]
Jalen ChatfieldD271995-01-02 00:24:36TW 30.00%750,000$750,000$750,000$UFA [Age: 30]
Mac HollowellD251997-01-02 04:20:03TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 26]
Mark FriedmanD281994-01-02 00:05:34TW 30.00%750,000$750,000$750,000$UFA [Age: 31]
Yegor RykovD261996-01-22 06:32:54NT TW 30.00%1,000,000$1,000,000$1,000,000$UFA [Age: 29]
MOYENNE (9)25.780.00%0$3,250,000$2,500,000$0$0$0$0$
Gardiens
Anton KrasotkinG261996-01-02 12:50:01TW 20.00%900,000$900,000$UFA [Age: 28]
Garret SparksG301992-01-22 01:37:53TW 10.00%1,000,000$UFA [Age: 31]
Yevgeni AlikinG291993-01-02 12:41:09TW 10.00%1,000,000$UFA [Age: 30]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 87,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Maxim GroshevDevin ShoreJoseph Garreffa40014
2Tanner JeannotMaxwell ReinhartBlake Speers30113
3Tye FelhaberNathan SmithConnor McClennon20023
4Jayden HalbgewachsBrendan GaunceJens Lööke10032
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Cody DonagheyAndrew Nielsen40131
2Yegor RykovBrinson Pasichnuk30131
3Mac HollowellJack Bar20023
4Yegor RykovBrinson Pasichnuk10131
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Maxim GroshevDevin ShoreJoseph Garreffa60023
2Tye FelhaberBlake SpeersMaxwell Reinhart40023
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Mac HollowellYegor Rykov60032
2Jack BarCody Donaghey40032
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Maxwell ReinhartTanner Jeannot60032
2Brendan GaunceBlake Speers40032
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Brinson PasichnukAndrew Nielsen60032
2Yegor RykovCody Donaghey40032
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Maxwell Reinhart60041Brinson PasichnukAndrew Nielsen60032
2Brendan Gaunce40041Yegor RykovCody Donaghey40032
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Devin ShoreMaxim Groshev60023
2Blake SpeersJoseph Garreffa40023
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Cody DonagheyMac Hollowell60032
2Yegor RykovAndrew Nielsen40032
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Maxim GroshevDevin ShoreJoseph GarreffaYegor RykovCody Donaghey
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Tanner JeannotMaxwell ReinhartBlake SpeersAndrew NielsenBrinson Pasichnuk
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Devin Shore, Joseph Garreffa, Maxim GroshevMaxim Groshev, Devin ShoreMaxwell Reinhart
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Yegor Rykov, Andrew Nielsen, Jack BarMac HollowellAndrew Nielsen, Brinson Pasichnuk
Tirs de pénalité
Connor McClennon, Maxwell Reinhart, Maxim Groshev, Joseph Garreffa, Devin Shore
Gardien
#1 : Garret Sparks, #2 : Anton Krasotkin
Lignes d’attaque personnalisées en prolongation
Devin Shore, Maxim Groshev, Maxwell Reinhart, Blake Speers, Nathan Smith, Joseph Garreffa, Joseph Garreffa, Tanner Jeannot, Jens Lööke, Tye Felhaber, Brendan Gaunce
Lignes de défense personnalisées en prolongation
Cody Donaghey, Yegor Rykov, Andrew Nielsen, Brinson Pasichnuk, Jack Bar


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
1Albany Devils11000000211000000000001100000021121.00024600103837713339359048724232124224125.00%2150.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
2Blainville-Boisbriand Armada311010001215-32100100010821010000027-540.66712203200103837713105935904872421184726669333.33%13376.92%0878168252.20%878162054.20%534100653.08%1892124018396521231615
3Bridgeport Sound Tigers22000000743220000007430000000000041.00071320001038377137193590487242512612476233.33%6183.33%0878168252.20%878162054.20%534100653.08%1892124018396521231615
4Charlotte Checkers1010000034-11010000034-10000000000000.00036900103837713329359048724231156254250.00%3233.33%0878168252.20%878162054.20%534100653.08%1892124018396521231615
5Chicago Wolves761000002711162200000010555410000017611120.8572745720210383771323593590487242201773813528414.29%19194.74%1878168252.20%878162054.20%534100653.08%1892124018396521231615
6Chicoutimi Saguenéens31001001963200010015501100000041350.833916250010383771310193590487242953520658225.00%10280.00%1878168252.20%878162054.20%534100653.08%1892124018396521231615
7Chisinau Pelicans312000001082110000006152020000047-320.333101727001038377138893590487242943010589111.11%5180.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
8Connecticut Whale1010000034-1000000000001010000034-100.00036900103837713309359048724232166244250.00%3166.67%0878168252.20%878162054.20%534100653.08%1892124018396521231615
9Danbury Trashers1010000012-1000000000001010000012-100.0001120010383771339935904872422294225120.00%20100.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
10Gatineau Olympiques320000101275110000003212100001095461.000121931001038377139193590487242934324519111.11%12375.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
11Grand Rapids Griffins41300000710-32020000036-32110000044020.25071320001038377131279359048724210034329618211.11%16287.50%0878168252.20%878162054.20%534100653.08%1892124018396521231615
12Hamilton Bulldogs21001000523100010003211100000020241.0005914011038377137593590487242662284610110.00%4175.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
13Henderson Silver Knights211000008801010000035-21100000053220.50081321001038377137693590487242702816453133.33%8275.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
14Houston Aeros11000000523000000000001100000052321.000591400103837713379359048724234124172150.00%20100.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
15Joliette Sportif42100001141221000000123-132100000129350.62514233700103837713125935904872421215322877114.29%11190.91%1878168252.20%878162054.20%534100653.08%1892124018396521231615
16Lake Erie Monsters4120010069-32010010025-32110000044030.3756101601103837713134935904872421265228761100.00%14285.71%0878168252.20%878162054.20%534100653.08%1892124018396521231615
17Laval Chiefs31100001710-32110000068-21000000112-130.500713200010383771385935904872421103035532150.00%11281.82%0878168252.20%878162054.20%534100653.08%1892124018396521231615
18Manitoba Moose2020000059-41010000045-11010000014-300.0005914001038377136493590487242703618225120.00%9366.67%0878168252.20%878162054.20%534100653.08%1892124018396521231615
19Mercer Island Hafgufa1010000046-2000000000001010000046-200.00046100010383771333935904872424614212200.00%10100.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
20Milwaukee Admirals4110200012120210010007432010100058-360.75012172900103837713130935904872421423722871218.33%110100.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
21Norfolk Admirals11000000514110000005140000000000021.00058130010383771339935904872423072121200.00%40100.00%1878168252.20%878162054.20%534100653.08%1892124018396521231615
22Nunavik Natturaliit321000001091211000008801100000021140.66710182810103837713105935904872429336204614214.29%9277.78%1878168252.20%878162054.20%534100653.08%1892124018396521231615
23Providence Bruins22000000862220000008620000000000041.00081422001038377137693590487242693110285120.00%50100.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
24Roberval Dwarfs3110100012111100010005412110000077040.6671220320010383771311293590487242903122531100.00%11463.64%0878168252.20%878162054.20%534100653.08%1892124018396521231615
25Rochester Americans10001000431000000000001000100043121.00046100010383771329935904872422614016200.00%000.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
26Rouyn-Noranda Huskies320000101385110000004132100001097261.00013223500103837713110935904872428023106613215.38%5180.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
27San Antonio Rampage22000000954220000009540000000000041.00091423001038377135493590487242752920363133.33%10190.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
28Springfield Falcons21100000844211000008440000000000020.50081220001038377136793590487242611843210110.00%2150.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
29The Nuuk Vikings31200000880211000007521010000013-220.333814220010383771310493590487242883318608112.50%90100.00%0878168252.20%878162054.20%534100653.08%1892124018396521231615
30Trois-Rivières Lions311010001091110000003212010100077040.667101727001038377131039359048724296422258700.00%11281.82%1878168252.20%878162054.20%534100653.08%1892124018396521231615
31Verdun Junior320001001358210001006421100000071650.8331323360010383771395935904872428044166012216.67%8187.50%2878168252.20%878162054.20%534100653.08%1892124018396521231615
32Wilkes-Barre/Scranton Penguins42200000141222200000010552020000047-340.500142438001038377131289359048724213454161119111.11%8187.50%0878168252.20%878162054.20%534100653.08%1892124018396521231615
Total8240270822327322350412210052021471123541181703021126111151050.64027346173414103837713273393590487242257699051616432543915.35%2444183.20%8878168252.20%878162054.20%534100653.08%1892124018396521231615
_Since Last GM Reset8240270822327322350412210052021471123541181703021126111151050.64027346173414103837713273393590487242257699051616432543915.35%2444183.20%8878168252.20%878162054.20%534100653.08%1892124018396521231615
_Vs Conference5626170622318215032261260420287711630141102021957916730.65218230748913103837713185093590487242172764736511171782312.92%1752784.57%7878168252.20%878162054.20%534100653.08%1892124018396521231615
_Vs Division159702100574116933011003523126640100022184230.7675795152001038377135149359048724248118911527738410.53%51982.35%3878168252.20%878162054.20%534100653.08%1892124018396521231615

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
82105W127346173427332576990516164314
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
8240278223273223
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
4122105202147112
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
4118173021126111
Derniers 10 matchs
W L OTW OTL SOWSOL
630001
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
2543915.35%2444183.20%8
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
93590487242103837713
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
878168252.20%878162054.20%534100653.08%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1892124018396521231615


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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
Jour:1
19Providence Bruins4Binghamton Senators5WSommaire du match
Jour:2
220Binghamton Senators1Chicago Wolves0WSommaire du match
Jour:6
645Lake Erie Monsters3Binghamton Senators1LSommaire du match
Jour:8
860Binghamton Senators3Chicago Wolves0WSommaire du match
Jour:9
975The Nuuk Vikings2Binghamton Senators6WSommaire du match
Jour:12
1294Binghamton Senators8Chicago Wolves1WSommaire du match
Jour:14
14114Milwaukee Admirals1Binghamton Senators3WSommaire du match
Jour:16
16129Binghamton Senators1Grand Rapids Griffins2LSommaire du match
Jour:19
19141Verdun Junior3Binghamton Senators2LXSommaire du match
Jour:23
23171Springfield Falcons1Binghamton Senators6WSommaire du match
Jour:24
24185Binghamton Senators2Lake Erie Monsters4LSommaire du match
Jour:27
27202Binghamton Senators4Rouyn-Noranda Huskies3WSommaire du match
Jour:29
29208Binghamton Senators1Joliette Sportif3LSommaire du match
Jour:30
30218Grand Rapids Griffins2Binghamton Senators1LSommaire du match
Jour:32
32243Binghamton Senators6Gatineau Olympiques3WSommaire du match
Jour:34
34251San Antonio Rampage3Binghamton Senators5WSommaire du match
Jour:36
36275Binghamton Senators4Rochester Americans3WXSommaire du match
Jour:38
38284Manitoba Moose5Binghamton Senators4LSommaire du match
Jour:41
41294Binghamton Senators1Danbury Trashers2LSommaire du match
Jour:43
43313The Nuuk Vikings3Binghamton Senators1LSommaire du match
Jour:45
45328Binghamton Senators2Albany Devils1WSommaire du match
Jour:49
49351Norfolk Admirals1Binghamton Senators5WSommaire du match
Jour:51
51372Springfield Falcons3Binghamton Senators2LSommaire du match
Jour:54
54392Binghamton Senators4Chicago Wolves2WSommaire du match
Jour:56
56406Binghamton Senators5Henderson Silver Knights3WSommaire du match
Jour:57
57417Charlotte Checkers4Binghamton Senators3LSommaire du match
Jour:59
59432Binghamton Senators2Lake Erie Monsters0WSommaire du match
Jour:62
62448Rouyn-Noranda Huskies1Binghamton Senators4WSommaire du match
Jour:64
64464Binghamton Senators1Roberval Dwarfs2LSommaire du match
Jour:65
65480Chisinau Pelicans1Binghamton Senators6WSommaire du match
Jour:67
67499Binghamton Senators5Rouyn-Noranda Huskies4WXXSommaire du match
Jour:69
69514Wilkes-Barre/Scranton Penguins2Binghamton Senators6WSommaire du match
Jour:71
71528Binghamton Senators4Trois-Rivières Lions3WXSommaire du match
Jour:72
72545Binghamton Senators5Houston Aeros2WSommaire du match
Jour:75
75577Binghamton Senators2Hamilton Bulldogs0WSommaire du match
Jour:78
78587Laval Chiefs3Binghamton Senators5WSommaire du match
Jour:79
79603Binghamton Senators2Blainville-Boisbriand Armada7LSommaire du match
Jour:81
81619Blainville-Boisbriand Armada6Binghamton Senators7WXSommaire du match
Jour:82
82639Binghamton Senators4Chicoutimi Saguenéens1WSommaire du match
Jour:84
84650Binghamton Senators3Grand Rapids Griffins2WSommaire du match
Jour:85
85661Gatineau Olympiques2Binghamton Senators3WSommaire du match
Jour:87
87685Binghamton Senators7Verdun Junior1WSommaire du match
Jour:89
89698Hamilton Bulldogs2Binghamton Senators3WXSommaire du match
Jour:90
90715San Antonio Rampage2Binghamton Senators4WSommaire du match
Jour:94
94741Binghamton Senators3Connecticut Whale4LSommaire du match
Jour:95
95753Laval Chiefs5Binghamton Senators1LSommaire du match
Jour:98
98779Chicago Wolves3Binghamton Senators5WSommaire du match
Jour:101
101792Binghamton Senators2Nunavik Natturaliit1WSommaire du match
Jour:102
102809Trois-Rivières Lions2Binghamton Senators3WSommaire du match
Jour:104
104825Binghamton Senators2Wilkes-Barre/Scranton Penguins4LSommaire du match
Jour:109
109845Wilkes-Barre/Scranton Penguins3Binghamton Senators4WSommaire du match
Jour:111
111866Binghamton Senators1Laval Chiefs2LXXSommaire du match
Jour:112
112878Grand Rapids Griffins4Binghamton Senators2LSommaire du match
Jour:117
117899Providence Bruins2Binghamton Senators3WSommaire du match
Jour:119
119918Binghamton Senators1Chicago Wolves3LSommaire du match
Jour:120
120932Verdun Junior1Binghamton Senators4WSommaire du match
Jour:122
122950Binghamton Senators5Joliette Sportif2WSommaire du match
Jour:123
123966Chicago Wolves2Binghamton Senators5WSommaire du match
Jour:125
125983Binghamton Senators6Joliette Sportif4WSommaire du match
Jour:126
126997Nunavik Natturaliit5Binghamton Senators3LSommaire du match
Jour:128
1281009Binghamton Senators4Mercer Island Hafgufa6LSommaire du match
Jour:131
1311038Binghamton Senators3Gatineau Olympiques2WXXSommaire du match
Jour:132
1321047Lake Erie Monsters2Binghamton Senators1LXSommaire du match
Jour:135
1351070Roberval Dwarfs4Binghamton Senators5WXSommaire du match
Jour:136
1361082Binghamton Senators6Roberval Dwarfs5WSommaire du match
Jour:138
1381089Binghamton Senators1The Nuuk Vikings3LSommaire du match
Jour:142
1421108Blainville-Boisbriand Armada2Binghamton Senators3WSommaire du match
Jour:144
1441124Binghamton Senators2Chisinau Pelicans4LSommaire du match
Jour:146
1461141Binghamton Senators2Wilkes-Barre/Scranton Penguins3LSommaire du match
Jour:148
1481148Joliette Sportif3Binghamton Senators2LXXSommaire du match
Jour:149
1491156Binghamton Senators1Milwaukee Admirals5LSommaire du match
Jour:153
1531178Binghamton Senators1Manitoba Moose4LSommaire du match
Jour:154
1541186Chicoutimi Saguenéens2Binghamton Senators3WXSommaire du match
Jour:158
1581216Milwaukee Admirals3Binghamton Senators4WXSommaire du match
Jour:162
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1621245Nunavik Natturaliit3Binghamton Senators5WSommaire du match
Jour:164
1641254Binghamton Senators2Chisinau Pelicans3LSommaire du match
Jour:167
1671275Chicoutimi Saguenéens3Binghamton Senators2LXXSommaire du match
Jour:169
1691286Henderson Silver Knights5Binghamton Senators3LSommaire du match
Jour:172
1721291Binghamton Senators4Milwaukee Admirals3WXSommaire du match
Jour:176
1761315Bridgeport Sound Tigers3Binghamton Senators5WSommaire du match
Jour:178
1781323Binghamton Senators3Trois-Rivières Lions4LSommaire du match
Jour:181
1811345Bridgeport Sound Tigers1Binghamton Senators2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




Binghamton Senators Leaders statistiques des joueurs (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 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

Binghamton Senators Statistiques de l'Équipe de Carrière

Total Domicile Visiteur
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 Senators Leaders statistiques des joueurs (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 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