Day : 25
OTT - 4
NYR - 6
Day : 26
(7-5-0) - W1
(6-4-0) - L1
(7-5-0) - W2
(7-4-0) - L2
(7-3-0) - W1
(7-6-0) - L1

Binghamton Senators
GP: 9 | W: 5 | L: 4
GF: 27 | GA: 28 | PP%: 18.18% | PK%: 87.88%
DG: Alex Bélanger | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Trois-Rivières Lions
8-3-0, 16pts
5
FINAL
4 Binghamton Senators
5-4-0, 10pts
Team Stats
W2SéquenceL1
4-2-0Fiche domicile3-1-0
4-1-0Fiche domicile2-3-0
7-2-1Derniers 10 matchs5-2-2
3.36Buts par match 3.00
2.36Buts contre par match 3.11
10.81%Pourcentage en avantage numérique18.18%
86.11%Pourcentage en désavantage numérique87.88%
Binghamton Senators
5-4-0, 10pts
2
FINAL
7 Trois-Rivières Lions
8-3-0, 16pts
Team Stats
L1SéquenceW2
3-1-0Fiche domicile4-2-0
2-3-0Fiche domicile4-1-0
5-2-2Derniers 10 matchs7-2-1
3.00Buts par match 3.36
3.11Buts contre par match 2.36
18.18%Pourcentage en avantage numérique10.81%
87.88%Pourcentage en désavantage numérique86.11%
Meneurs d'équipe
Buts
Devin Shore
5
Passes
Devin Shore
6
Points
Devin Shore
11
Plus/Moins
Tye Felhaber
1
Victoires
Garret Sparks
5
Pourcentage d’arrêts
Garret Sparks
0.918

Statistiques d’équipe
Buts pour
27
3.00 GFG
Tirs pour
287
31.89 Avg
Pourcentage en avantage numérique
18.2%
6 GF
Début de zone offensive
38.0%
Buts contre
28
3.11 GAA
Tirs contre
292
32.44 Avg
Pourcentage en désavantage numérique
87.9%%
4 GA
Début de la zone défensive
37.2%
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
Assistance2,754
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 50
Espoirs11


Historique d'équipe

Saison actuelle5-4
Historique50-27-11 (0.568%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5-4
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 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$
12Kole Lind (R)X100.0078408378788172746573706770717055000251950,000$
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$
3Jayden Halbgewachs (R)XX100.00562397776880777872707168726464450002611,200,000$
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/RW95611-30013827112418.52%217619.57325629000000149.04%157151001.2500000110
2Joseph GarreffaBinghamton Senators (OTT)LW/RW95510-300563451314.71%318620.74235329000191044.44%9211001.0700000010
3Maxim GroshevBinghamton Senators (OTT)LW/RW9257-3100451651312.50%117419.35123529000001140.00%10100000.8000000001
4Maxwell ReinhartBinghamton Senators (OTT)C/LW/RW90660201692210150.00%419121.310004240000400049.03%155112000.6300000001
5Tanner JeannotBinghamton Senators (OTT)LW/RW9325-1608112141614.29%316418.29000000001371075.00%8121000.6100000011
6Blake SpeersBinghamton Senators (OTT)C/RW9235000810266137.69%217319.330005250000130040.00%1580100.5700000010
7Tye FelhaberBinghamton Senators (OTT)C/LW92351401172081410.00%114516.15000325000011036.36%1191000.6900000002
8Connor McClennonBinghamton Senators (OTT)RW922404035192810.53%011512.830000000000100.00%291000.6900000000
9Cody DonagheyBinghamton Senators (OTT)D9224-1001222154613.33%921824.28011233000011000.00%0312000.3700000100
10Brinson PasichnukBinghamton Senators (OTT)D9033-1609189570.00%1820522.78011121000026000.00%017000.2900000000
11Nathan SmithBinghamton Senators (OTT)C912304076202155.00%511612.9800000000000055.42%8392000.5100000000
12Mac HollowellBinghamton Senators (OTT)D9022-22091612630.00%415417.1801133400002000.00%015000.2600000000
13Yegor RykovBinghamton Senators (OTT)D9112-360152983312.50%1817919.9500000000021000.00%0017000.2201000010
14Jens LöökeBinghamton Senators (OTT)LW/RW91120001190311.11%2546.02000000000000100.00%220000.7400000000
15Andrew NielsenBinghamton Senators (OTT)D90110120192113650.00%2220022.2900000000025000.00%0110000.1000000000
16Jack BarBinghamton Senators (OTT)D901118010173620.00%916618.51000121000022000.00%029000.1200000000
17Brendan GaunceBinghamton Senators (OTT)C/LW9011000746340.00%0637.0600000000060034.29%3552000.3100000000
18Kole LindBinghamton Senators (OTT)RW91010003471214.29%1515.7500000000000050.00%230000.3900000000
Statistiques d’équipe totales ou en moyenne162274673-15640160199287871669.41%104273916.91610163327600022225248.67%48912271100.5301000255
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)85210.9182.634570020244130000.000081200
2Anton KrasotkinBinghamton Senators (OTT)20010.8334.751010084826000.000018000
Statistiques d’équipe totales ou en moyenne105220.9043.01559002829215600099200


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
1Tanner JeannotMaxwell ReinhartBlake Speers40014
2Maxim GroshevDevin ShoreJoseph Garreffa30113
3Tye FelhaberNathan SmithConnor McClennon20023
4Maxim GroshevDevin ShoreJoseph Garreffa10032
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Cody DonagheyAndrew Nielsen40041
2Yegor RykovBrinson Pasichnuk30041
3Mac HollowellJack Bar20023
4Yegor RykovBrinson Pasichnuk10041
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Maxim GroshevDevin ShoreJoseph Garreffa60014
2Tye FelhaberMaxwell ReinhartBlake Speers40014
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Cody DonagheyMac Hollowell60023
2Jack BarBrinson Pasichnuk40032
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Maxwell ReinhartTanner Jeannot60041
2Blake SpeersBrendan Gaunce40041
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Brinson PasichnukAndrew Nielsen50032
2Jack BarYegor Rykov50032
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Maxwell Reinhart60041Brinson PasichnukAndrew Nielsen60041
2Blake Speers40041Jack BarYegor Rykov40041
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 RykovJack Bar40032
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, Maxim Groshev, Blake SpeersTye Felhaber, Devin ShoreMaxwell Reinhart
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Yegor Rykov, Andrew Nielsen, Cody DonagheyMac HollowellCody Donaghey, Andrew Nielsen
Tirs de pénalité
Connor McClennon, Maxim Groshev, Maxwell Reinhart, Nathan Smith, Devin Shore
Gardien
#1 : Garret Sparks, #2 : Anton Krasotkin
Lignes d’attaque personnalisées en prolongation
Devin Shore, Maxim Groshev, Maxwell Reinhart, Joseph Garreffa, Blake Speers, Tanner Jeannot, Tanner Jeannot, Nathan Smith, Connor McClennon, Brendan Gaunce, Tye Felhaber
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
1Nunavik Natturaliit440000001587220000008532200000073481.000152439001161001181068095611642246918316.67%12191.67%09118648.92%8418246.15%6312152.07%1991252197414072
2Trois-Rivières Lions514000001220-82110000076130300000514-920.200122234001161001691068095617662409115320.00%21385.71%09118648.92%8418246.15%6312152.07%1991252197414072
Total954000002728-14310000015114523000001217-5100.55627467300116100287106809562921046416033618.18%33487.88%09118648.92%8418246.15%6312152.07%1991252197414072
_Since Last GM Reset954000002728-14310000015114523000001217-5100.55627467300116100287106809562921046416033618.18%33487.88%09118648.92%8418246.15%6312152.07%1991252197414072
_Vs Conference954000002728-14310000015114523000001217-5100.55627467300116100287106809562921046416033618.18%33487.88%09118648.92%8418246.15%6312152.07%1991252197414072
_Vs Division500000001220-82000000076130000000514-900.000122234001161001691068095617662409115320.00%21385.71%09118648.92%8418246.15%6312152.07%1991252197414072

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
910L12746732872921046416000
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
95400002728
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
43100001511
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
52300001217
Derniers 10 matchs
W L OTW OTL SOWSOL
520200
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
33618.18%33487.88%0
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
10680956116100
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
9118648.92%8418246.15%6312152.07%
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
1991252197414072


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
Jour:1
13Binghamton Senators3Nunavik Natturaliit1WSommaire du match
Jour:3
311Binghamton Senators4Nunavik Natturaliit2WSommaire du match
Jour:5
519Nunavik Natturaliit2Binghamton Senators3WSommaire du match
Jour:7
727Nunavik Natturaliit3Binghamton Senators5WSommaire du match
Jour:15
1558Binghamton Senators2Trois-Rivières Lions3LXSommaire du match
Jour:17
1762Binghamton Senators1Trois-Rivières Lions4LSommaire du match
Jour:19
1966Trois-Rivières Lions1Binghamton Senators3WSommaire du match
Jour:21
2170Trois-Rivières Lions5Binghamton Senators4LXSommaire du match
Jour:23
2374Binghamton Senators2Trois-Rivières Lions7LSommaire 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
1Devin Shore8249378615161308630715.96%30152418.59127196200019353.0921.1312
2Maxim Groshev822138591526674419410.82%15147317.96910194500003540.5400.8035
3Nathan Smith8121345512261214916212.96%14108513.402791600005254.2401.0101
4Blake Speers821935541412657318610.22%33154918.90214162610155244.2000.7002
5Joseph Garreffa822132537016472289.21%19141017.202683601114138.1000.7502

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
1Garret Sparks68431950.9192.54408110317321321160210.70617
2Anton Krasotkin157800.8963.168740146443249001.0002

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
Saison régulière
202382402708223273223504122100520214711235411817030211261111510527346173414103837713273393590487242257699051616432543915.35%2444183.20%8878168252.20%878162054.20%534100653.08%1892124018396521231615
Total Saison régulière82402708223273223504122100520214711235411817030211261111510527346173414103837713273393590487242257699051616432543915.35%2444183.20%8878168252.20%878162054.20%534100653.08%1892124018396521231615
Séries éliminatoires
2023954000002728-14310000015114523000001217-51027467300116100287106809562921046416033618.18%33487.88%09118648.92%8418246.15%6312152.07%1991252197414072
Total Séries éliminatoires954000002728-14310000015114523000001217-51027467300116100287106809562921046416033618.18%33487.88%09118648.92%8418246.15%6312152.07%1991252197414072

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
1Devin Shore95611-301382718.52%217619.57325600000149.0401.2500
2Joseph Garreffa95510-30563414.71%318620.74235300011044.4401.0700
3Maxim Groshev9257-310451612.50%117419.35123500001140.0000.8000
4Maxwell Reinhart906602169220.00%419121.31000400000049.0300.6300
5Blake Speers923500810267.69%217319.33000500000040.0000.5700

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
1Garret Sparks85210.9182.634570020244130000.00%0
2Anton Krasotkin20010.8334.751010084826000.00%0