Binghamton Senators

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Éric Santerre | Morale : 50 | Moyenne d'Équipe : N/A
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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 SP
1Marcus SorensenX100.00553078826774747660737566725960703900
2Gustav Possler (R)X100.00592587856977727865767768746971703500
3Max McCormickXX100.00894874768379797575767666747476705900
4Connor Rankin (R)XX100.00824177778277777874787669726769705300
5Danick Martel (R)X100.00703779817377788063777768756872704300
6Tyson Jost (R)XX100.00763581867680808274807967736868708700
7Andre PeterssonXX100.00572582757176757360737464726768705400
8Arttu Ruotsalainen (R)XX100.00602589857281807772757465706963707500
9Kole Lind (R)X100.00754376767779737463767465706564702900
10Filip Berglund (R)X100.00813886728076767350756183606464704400
11Jakob ChychrunX100.00904571828477757850806385626766705400
12Andrew Nielsen (R)X100.0085556773887676725076628363616470700
13Cody Donaghey (R)X100.00774177757675707250756180596469705100
14Mason Geertsen (R)X100.00895069708578767050725782576162703500
Rayé
1Andrei KostitsynX100.00814084718185857950737656809490701900
2Dany HeatleyXX100.00734374627878787355687763769999703800
3Vadim ShipachevX100.00583080736774747774817364807876702500
4Ryan TesinkXX100.00874074787876747875787773727780702700
5Ales MusicXX100.00634573696769696672666663708485701900
6Alexis Pepin (R)X100.00875867698776767165707066685354701900
7Jérémy Grégoire (R)X100.00894770738678747576747372706177704900
8Derek JoslinX100.00874773688271717250745886589599702100
9Jeff SchultzX100.00714382658976766650695783599499703300
MOYENNE D'ÉQUIPE100.0076407775787776756275707169727470400
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 SP
1Igor Bobkov100.0082818794918686868889848282702100
2Stephon Williams100.0082838286828184828280815757702200
3Ilya Konovalov (R)100.0087868484898687888987876262706500
Rayé
1Denis Godla (R)100.0088828280888589848584826059701800
MOYENNE D'ÉQUIPE100.008583848688858785868584656570320
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes80808585758070USA462900,000$


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
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Ales MusicBinghamton Senators (OTT)C/LW381981-01-22 08:22:10No180 Lbs5 ft9NoNoNo2Pro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$
Alexis PepinBinghamton Senators (OTT)LW241995-01-22 10:06:36Yes245 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$700,000$700,000$0$0$No
Andre PeterssonBinghamton Senators (OTT)LW/RW301989-01-22 05:30:31No174 Lbs5 ft10NoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$No
Andrei KostitsynBinghamton Senators (OTT)LW351984-01-22 06:29:38No214 Lbs6 ft0NoNoNo0Pro & Farm0$0$No
Andrew NielsenBinghamton Senators (OTT)D241995-01-22 03:04:00Yes207 Lbs6 ft3NoNoNo1Pro & Farm1,700,000$1,700,000$1,700,000$1,700,000$0$0$No
Arttu RuotsalainenBinghamton Senators (OTT)C/LW231996-01-22 01:46:51Yes181 Lbs5 ft8NoNoNo2Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No1,750,000$
Cody DonagheyBinghamton Senators (OTT)D241995-01-22 02:19:45Yes191 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No
Connor RankinBinghamton Senators (OTT)C/LW261993-01-22 13:10:25Yes198 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$1,600,000$1,600,000$1,600,000$0$0$No1,600,000$
Danick MartelBinghamton Senators (OTT)LW261993-01-22 13:13:13Yes161 Lbs5 ft8NoNoNo2Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No1,750,000$
Dany HeatleyBinghamton Senators (OTT)LW/RW391980-01-22 06:29:38No220 Lbs6 ft4NoNoNo0Pro & Farm0$0$No
Denis GodlaBinghamton Senators (OTT)G251994-01-22 07:30:06Yes179 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$No
Derek JoslinBinghamton Senators (OTT)D331986-01-22 18:29:38No210 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Filip BerglundBinghamton Senators (OTT)D231996-01-22 03:24:30Yes209 Lbs6 ft3NoNoNo1Pro & Farm1,800,000$1,800,000$1,800,000$1,800,000$0$0$No
Gustav PosslerBinghamton Senators (OTT)LW261993-01-22 13:32:32Yes167 Lbs5 ft11NoNoNo1Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No
Igor BobkovBinghamton Senators (OTT)G291990-01-22 00:29:38No215 Lbs6 ft6NoNoNo2Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No1,750,000$
Ilya KonovalovBinghamton Senators (OTT)G221997-01-22 02:26:14Yes194 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$
Jakob ChychrunBinghamton Senators (OTT)D221997-01-22 06:33:03No205 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No
Jeff SchultzBinghamton Senators (OTT)D341985-01-22 12:29:38No230 Lbs6 ft6NoNoNo0Pro & Farm0$0$No
Jérémy GrégoireBinghamton Senators (OTT)C251994-01-22 09:56:52Yes194 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$No
Kole LindBinghamton Senators (OTT)RW221997-01-22 09:20:47Yes179 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$
Marcus SorensenBinghamton Senators (OTT)LW281991-01-22 03:15:05No168 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$950,000$950,000$0$0$No
Mason GeertsenBinghamton Senators (OTT)D251994-01-22 05:45:29Yes216 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$No
Max McCormickBinghamton Senators (OTT)C/LW281991-01-22 03:18:05No185 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$
Ryan TesinkBinghamton Senators (OTT)C/RW271992-01-22 16:41:59No161 Lbs6 ft0NoNoNo3Pro & Farm975,000$975,000$975,000$975,000$0$0$No975,000$975,000$
Stephon WilliamsBinghamton Senators (OTT)G271992-01-22 05:32:48No196 Lbs6 ft3NoNoNo2Pro & Farm1,600,000$1,600,000$1,600,000$1,600,000$0$0$No1,600,000$
Tyson JostBinghamton Senators (OTT)C/LW221997-01-22 04:37:02Yes192 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$950,000$950,000$0$0$No
Vadim Shipachev (Contrat à 1 Volet)Binghamton Senators (OTT)C321987-01-22 10:05:56No152 Lbs5 ft9NoNoNo0Pro & Farm0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2727.37193 Lbs6 ft11.22996,296$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Connor Rankin30014
2Max McCormickAndre Petersson29122
3Gustav Possler25122
4Gustav PosslerAndre Petersson16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
125023
2Filip Berglund25122
325122
425122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Connor Rankin60122
2Max McCormickGustav Possler40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Filip Berglund40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Connor Rankin60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Max McCormick60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Connor RankinMax McCormick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Connor RankinMax McCormick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marcus Sorensen, Gustav Possler, Marcus Sorensen, Gustav Possler
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Filip Berglund, Filip Berglund,
Tirs de Pénalité
Gustav Possler, , , , Connor Rankin
Gardien
#1 : , #2 : Igor Bobkov, #3 : Stephon Williams
Lignes d'Attaque Perso. en Prol.
Andre Petersson, , , , Connor Rankin, Max McCormick, Max McCormick, , Gustav Possler, , Marcus Sorensen
Lignes de Défense Perso. en Prol.
, , , ,


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4530
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,690,000$ 2,690,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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