Binghampton Senators

GP: 82 | W: 42 | L: 31 | OTL: 9 | P: 93
GF: 394 | GA: 348 | PP%: 39.23% | PK%: 65.33%
DG: Mathieu Gregoire | Morale : 51 | Moyenne d'Équipe : 58
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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
1Anthony Greco (C)XX100.007062896662859165505965656255556770630
2Jack RoslovicXX100.006341987969557663496664542559606460610
3Lane PedersonX100.007571856671778162785863646044446678610
4Vinni LettieriXX100.008044847270569062525756612547476272600
5Gabriel Fontaine (A)X100.007771926871798655694956655350506276600
6Lukas Radil (R)XX100.007143946477576860566071572547476671590
7Antti Suomela (R)X100.006341947464598258746560552546466370590
8Brandon Gignac (A)X100.007063876663616261765957645455556172590
9Eric Robinson (R)XX100.008345996275616561255560662545456062580
10Justin KirklandXX100.007270776470808754505648614645455875570
11Jens LookeXX100.007466926566717652504653625047475874560
12Jonah Gadjovich (R)X100.007976856176576049504746634444445471540
13Ryan GravesX100.007745977282568556255154822546466464650
14Trevor CarrickX100.007274676674828958255546624444445879610
15Roland McKeownX100.007472777472829051254641613944445665610
16Jake BischoffX100.007671896971738048253940623848485477590
17Jordan SchmaltzX100.006542967372586654255047632549495749580
18Wiley Sherman (R)X100.008687836787576144253240653844445260580
Rayé
1Jansen HarkinsX100.007368846768727756705057635448486155580
2Cam DarcyX100.007268826568697354684854635154545820570
3Matteo Gennaro (R)X100.007570866970737950634451614844445720560
4Tyler Vesel (R)X100.007769976569667051645047624544445720550
5Beck Malenstyn (R)X100.007372746572687349504647604544445520540
6Jonne TammelaXX100.007266876266494949504746604446465220510
7Mark FriedmanX100.006967746467788650254341583944445323570
8Joseph Cecconi (R)X100.008376996976484949254339653744445321560
9Jesse GrahamX100.007267836367616548254041603947475220550
MOYENNE D'ÉQUIPE100.00746387677166755447505162414747595458
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
1Kaapo Kahkonen (R)100.00617796845869536462603044446371630
2Jon Gillies100.00547796914755505848483045455471580
Rayé
1Ivan Kulbakov100.00505771674850505549493044445120520
MOYENNE D'ÉQUIPE100.0055708881515851595352304444565458
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Smith43436668454652USA58160,000$


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
1Jack RoslovicBinghampton Senators (OTT)C/RW807089159122725756540211925717.41%49154619.33242852541433365525246.15%14310130072.0602122985
2Anthony GrecoBinghampton Senators (OTT)LW/RW8266731393532518214540011523116.50%70208525.432023433915213481549247.67%4728662061.33251221185
3Lane PedersonBinghampton Senators (OTT)C8238931315156801491672466913815.45%50166620.33829372014713461363454.80%23454434101.5725547455
4Vinni LettieriBinghampton Senators (OTT)C/RW824841891229516412231810216715.09%41144217.595813171161011105344.77%3065632001.2302001355
5Lukas RadilBinghampton Senators (OTT)LW/RW82364985128099792488813414.52%34145217.7271118151170000263447.69%656922011.1701000543
6Gabriel FontaineBinghampton Senators (OTT)C82244569154125114155156499315.38%46141417.2557127922134471153.15%8883634000.9813212223
7Ryan GravesBinghampton Senators (OTT)D787495612171511717315661614.49%187214527.514812131470222165000.00%041107000.5200003102
8Brandon GignacBinghampton Senators (OTT)C82302252109578991845712716.30%1893311.38000042022415159.19%3704526111.1102001313
9Eric RobinsonBinghampton Senators (OTT)LW/RW78222244600961042116212810.43%34110914.22235332000061124.24%332818000.7900000052
10Trevor CarrickBinghampton Senators (OTT)D82735421425012014511812659545.56%120190123.195813131280003105100.00%12051000.44007512010
11Antti SuomelaBinghampton Senators (OTT)C81142741120817717047958.24%2894211.630000120001302154.81%4054516000.8700000100
12Roland McKeownBinghampton Senators (OTT)D8053136221335510410210042415.00%126186423.3124681330110106100.00%01763000.3900146001
13Jens LookeBinghampton Senators (OTT)LW/RW821214266135996591387913.19%20103812.6700000000002051.72%291416000.5000100011
14Justin KirklandBinghampton Senators (OTT)C/LW82814222241068528736539.20%117519.1700000011151042.11%191516000.5900101012
15Jake BischoffBinghampton Senators (OTT)D821171818967072867930341.27%94159219.4203301070335100000.00%0555000.2300653000
16Jansen HarkinsBinghampton Senators (OTT)C649514-56031365573016.36%114346.78011062024411253.21%156106000.6412000020
17Jordan SchmaltzBinghampton Senators (OTT)D740131315530685115210.00%64104614.14000119000119000.00%0830000.2500001000
18Wiley ShermanBinghampton Senators (OTT)D782911-5422092714811154.17%52110714.19000011000265000.00%0338000.2000112000
19Jonah GadjovichBinghampton Senators (OTT)LW821671112103222126108.33%63934.800001110000400049.25%6719000.3600110000
20Mark FriedmanBinghampton Senators (OTT)D10011314101175230.00%513813.810000200005000.00%003000.1400002000
21Kevin PorterSenateursC/LW/RW1000100411030.00%02020.1700003000000066.67%310000.0000000000
22Beck MalenstynBinghampton Senators (OTT)LW4000000424220.00%0307.6300000000000050.00%202000.0000000000
23Jonne TammelaBinghampton Senators (OTT)LW/RW2000000012100.00%0157.78000000000000100.00%100000.0000000000
24Joseph CecconiBinghampton Senators (OTT)D6000300533300.00%68213.730000000003000.00%002000.0000000000
Stats d'équipe Total ou en Moyenne153840065510551599374851852182031551021177612.68%10722515616.36821332151911393121729451168402152.93%53056456722150.84622272545394337
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
1Kaapo KahkonenBinghampton Senators (OTT)75362380.8904.0442388128525961442610.79224748203
2Jon GilliesBinghampton Senators (OTT)196810.8665.017180060449249100.0000874001
Stats d'équipe Total ou en Moyenne94423190.8874.1849568134530451691710.792248282204


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 Cap 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
Anthony GrecoBinghampton Senators (OTT)LW/RW241993-09-30No172 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Antti SuomelaBinghampton Senators (OTT)C241994-03-17Yes172 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Beck MalenstynBinghampton Senators (OTT)LW201998-02-04Yes194 Lbs6 ft2NoNoNo3Pro & Farm736,666$0$0$No736,666$736,666$Lien
Brandon GignacBinghampton Senators (OTT)C201997-11-07No173 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Cam DarcyBinghampton Senators (OTT)C241994-03-02No186 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Eric RobinsonBinghampton Senators (OTT)LW/RW231995-06-14Yes201 Lbs6 ft2NoNoNo1Pro & Farm874,125$0$0$NoLien
Gabriel FontaineBinghampton Senators (OTT)C211997-04-30No191 Lbs6 ft1NoNoNo2Pro & Farm737,000$0$0$No737,000$Lien
Ivan KulbakovBinghampton Senators (OTT)G211996-09-18No183 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Jack RoslovicBinghampton Senators (OTT)C/RW211997-01-28No187 Lbs6 ft1NoNoNo1Pro & Farm894,166$0$0$NoLien
Jake BischoffBinghampton Senators (OTT)D231994-07-25No194 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
Jansen HarkinsBinghampton Senators (OTT)C211997-05-23No182 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Jens LookeBinghampton Senators (OTT)LW/RW211997-04-11No180 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Jesse GrahamBinghampton Senators (OTT)D241994-05-13No184 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Jon GilliesBinghampton Senators (OTT)G241994-01-21No223 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien
Jonah GadjovichBinghampton Senators (OTT)LW191998-10-12Yes209 Lbs6 ft2NoNoNo3Pro & Farm814,166$0$0$No814,166$814,166$Lien
Jonne TammelaBinghampton Senators (OTT)LW/RW201997-08-05No187 Lbs5 ft10NoNoNo1Pro & Farm710,000$0$0$NoLien
Jordan SchmaltzBinghampton Senators (OTT)D241993-10-08No190 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Joseph CecconiBinghampton Senators (OTT)D211997-05-23Yes209 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Justin KirklandBinghampton Senators (OTT)C/LW211996-08-02No183 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Kaapo KahkonenBinghampton Senators (OTT)G211996-08-16Yes223 Lbs6 ft2NoNoNo2Pro & Farm767,500$0$0$No767,500$Lien
Lane PedersonBinghampton Senators (OTT)C201997-08-04No192 Lbs6 ft1NoNoNo2Pro & Farm678,000$0$0$No678,000$Lien
Lukas RadilBinghampton Senators (OTT)LW/RW271990-08-04Yes201 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Mark FriedmanBinghampton Senators (OTT)D221995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm825,000$0$0$No825,000$Lien
Matteo GennaroBinghampton Senators (OTT)C211997-03-30Yes187 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$NoLien
Roland McKeownBinghampton Senators (OTT)D221996-01-19No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan GravesBinghampton Senators (OTT)D231995-05-20No216 Lbs6 ft5NoNoNo1Pro & Farm735,000$0$0$NoLien
Trevor CarrickBinghampton Senators (OTT)D231994-07-04No186 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Tyler VeselBinghampton Senators (OTT)C241994-04-14Yes190 Lbs5 ft11NoNoNo1Pro & Farm735,000$0$0$NoLien
Vinni LettieriBinghampton Senators (OTT)C/RW231995-02-06No195 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Wiley ShermanBinghampton Senators (OTT)D231995-05-24Yes225 Lbs6 ft7NoNoNo2Pro & Farm676,500$0$0$No676,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3022.17193 Lbs6 ft11.37698,604$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony GrecoLane PedersonJack Roslovic40122
2Lukas RadilGabriel FontaineVinni Lettieri30122
3Eric RobinsonAntti SuomelaJens Looke20122
4Justin KirklandBrandon GignacAnthony Greco10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesRoland McKeown40122
2Trevor CarrickJake Bischoff30122
3Wiley ShermanJordan Schmaltz20122
4Ryan GravesRoland McKeown10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony GrecoLane PedersonJack Roslovic60122
2Lukas RadilGabriel FontaineVinni Lettieri40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesRoland McKeown60122
2Trevor CarrickJake Bischoff40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anthony GrecoLane Pederson60122
2Jack RoslovicGabriel Fontaine40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesRoland McKeown60122
2Trevor CarrickJake Bischoff40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anthony Greco60122Ryan GravesRoland McKeown60122
2Lane Pederson40122Trevor CarrickJake Bischoff40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anthony GrecoLane Pederson60122
2Jack RoslovicGabriel Fontaine40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesRoland McKeown60122
2Trevor CarrickJake Bischoff40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony GrecoLane PedersonJack RoslovicRyan GravesRoland McKeown
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony GrecoLane PedersonJack RoslovicRyan GravesRoland McKeown
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonah Gadjovich, Antti Suomela, Brandon GignacJonah Gadjovich, Antti SuomelaBrandon Gignac
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Wiley Sherman, Jordan Schmaltz, Trevor CarrickWiley ShermanJordan Schmaltz, Trevor Carrick
Tirs de Pénalité
Anthony Greco, Lane Pederson, Jack Roslovic, Gabriel Fontaine, Vinni Lettieri
Gardien
#1 : Kaapo Kahkonen, #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
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
1Boisbriand Armada421001002320321100000151232100010088050.625233962009715114091428971110992561646139769555.56%120100.00%1916165955.21%941181851.76%793153351.73%169192117227601547779
2Brampton Battalion413000001519-4312000001314-11010000025-320.2501524390097151140915189711109925614458568416531.25%13469.23%0916165955.21%941181851.76%793153351.73%169192117227601547779
3Bridgeport Sound Tigers220000001275110000008441100000043141.0001223350097151140981897111099256702727264250.00%6266.67%1916165955.21%941181851.76%793153351.73%169192117227601547779
4Calgary Hitman321000001569110000008172110000075240.66715264100971511409114897111099256934532635120.00%6266.67%0916165955.21%941181851.76%793153351.73%169192117227601547779
5Chicago Wolves202000001318-51010000078-110100000610-400.0001319320097151140979897111099256983518338337.50%9455.56%0916165955.21%941181851.76%793153351.73%169192117227601547779
6Chicoutimi Sagueneens220000001165110000007431100000042241.0001120310097151140977897111099256792714395240.00%20100.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
7Drummondville Voltigeurs31200000916-71010000035-221100000611-520.333914230097151140999897111099256993612746233.33%6266.67%0916165955.21%941181851.76%793153351.73%169192117227601547779
8Grand Rapids Griffins22000000171251100000075211000000107341.0001730470097151140970897111099256992115368562.50%5260.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
9Hartford Wolf Pack20200000710-31010000046-21010000034-100.000713200097151140971897111099256822745811100.00%220.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
10Hershey Bears30300000412-82020000037-41010000015-400.0004610009715114091078971110992561074120737228.57%5180.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
11Lake Erie Monsters3210000011101110000003122110000089-140.667111627009715114091118971110992561063122857228.57%6183.33%0916165955.21%941181851.76%793153351.73%169192117227601547779
12Las Vegas Wranglers312000001822-4211000001612410100000210-820.333182846009715114091068971110992561374178597228.57%9811.11%0916165955.21%941181851.76%793153351.73%169192117227601547779
13Laval Rockets211000001183110000009271010000026-420.500111829009715114095889711109925690353428300.00%7185.71%3916165955.21%941181851.76%793153351.73%169192117227601547779
14London Knights3300000028622220000001831511000000103761.0002846740197151140911589711109925610944776014535.71%11463.64%0916165955.21%941181851.76%793153351.73%169192117227601547779
15Lowell Devils411001011719-221100000121202000010157-240.500172441009715114091408971110992561594228875120.00%9277.78%1916165955.21%941181851.76%793153351.73%169192117227601547779
16Manitoba Moose210000101192100000105411100000065141.0001118290097151140963897111099256802821436466.67%8450.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
17Milwaukee Admirals4210001014952100001010372110000046-260.7501418320097151140913389711109925611532861084250.00%13561.54%1916165955.21%941181851.76%793153351.73%169192117227601547779
18Peoria Riverman2200000017981100000010461100000075241.0001724410097151140979897111099256893711385480.00%3166.67%0916165955.21%941181851.76%793153351.73%169192117227601547779
19Philadelphia Phantoms21100000862110000006241010000024-220.500814220097151140958897111099256842521423133.33%3166.67%0916165955.21%941181851.76%793153351.73%169192117227601547779
20Portland Pirates2100010011101110000006421000010056-130.7501117280097151140962897111099256651920469444.44%5260.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
21Quebec Rempart412001001516-120100100912-32110000064230.3751527421097151140916789711109925615365229413323.08%60100.00%1916165955.21%941181851.76%793153351.73%169192117227601547779
22Rimouski Oceanic2020000069-31010000024-21010000045-100.000610160097151140971897111099256551524484125.00%7442.86%0916165955.21%941181851.76%793153351.73%169192117227601547779
23Rochester Americans32100000161062110000012751100000043140.667162844009715114091188971110992569937535310440.00%4175.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
24Seattle Thunderbirds3110100012111211000009901000100032140.6671219310097151140911089711109925610132456910220.00%5340.00%1916165955.21%941181851.76%793153351.73%169192117227601547779
25Sherbrooke Phoenix310011001914511000000835200011001111050.833193251009715114091218971110992561155545635240.00%5180.00%1916165955.21%941181851.76%793153351.73%169192117227601547779
26Texas Stars41100011131211100000041330100011911-250.6251320330097151140917789711109925613541211047571.43%8275.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
27Toronto Marlies42100100171522110000010822100010077050.6251726430097151140914789711109925612834518115533.33%8450.00%0916165955.21%941181851.76%793153351.73%169192117227601547779
Total8236310373239434846412216001202341686641141503612160180-20930.56739463210261197151140930338971110992563046105194517902098239.23%1996965.33%12916165955.21%941181851.76%793153351.73%169192117227601547779
29Victoriaville Tigres310011001814411000000844200011001010050.833182543009715114091158971110992561144021728337.50%8275.00%1916165955.21%941181851.76%793153351.73%169192117227601547779
30Worcester Sharks20200000613-71010000027-51010000046-200.00068140097151140991897111099256772028485480.00%8450.00%1916165955.21%941181851.76%793153351.73%169192117227601547779
_Since Last GM Reset8236310373239434846412216001202341686641141503612160180-20930.56739463210261197151140930338971110992563046105194517902098239.23%1996965.33%12916165955.21%941181851.76%793153351.73%169192117227601547779
_Vs Conference4822160261123519639241390011014597482497025019099-9570.594235373608119715114091779897111099256173562162210591244233.87%1163668.97%6916165955.21%941181851.76%793153351.73%169192117227601547779

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8293OTL13946321026303330461051945179011
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8236313732394348
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122160120234168
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114153612160180
Derniers 10 Matchs
WLOTWOTL SOWSOL
430300
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2098239.23%1996965.33%12
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
897111099256971511409
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
916165955.21%941181851.76%793153351.73%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
169192117227601547779


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
2 - 2019-10-0514Brampton Battalion3Binghampton Senators2LSommaire du Match
3 - 2019-10-0622Binghampton Senators3Texas Stars2WXXSommaire du Match
5 - 2019-10-0842Binghampton Senators2Milwaukee Admirals1WSommaire du Match
6 - 2019-10-0953Lowell Devils9Binghampton Senators6LSommaire du Match
8 - 2019-10-1171Milwaukee Admirals1Binghampton Senators2WXXSommaire du Match
10 - 2019-10-1390Binghampton Senators6Boisbriand Armada5WSommaire du Match
12 - 2019-10-15104Quebec Rempart7Binghampton Senators5LSommaire du Match
13 - 2019-10-16114Binghampton Senators3Drummondville Voltigeurs9LSommaire du Match
15 - 2019-10-18134Brampton Battalion7Binghampton Senators5LSommaire du Match
16 - 2019-10-19149Rochester Americans1Binghampton Senators10WSommaire du Match
17 - 2019-10-20158Binghampton Senators5Victoriaville Tigres4WXSommaire du Match
20 - 2019-10-23183Seattle Thunderbirds5Binghampton Senators3LSommaire du Match
22 - 2019-10-25196Binghampton Senators5Sherbrooke Phoenix4WXSommaire du Match
24 - 2019-10-27212Binghampton Senators3Lowell Devils4LXXSommaire du Match
25 - 2019-10-28225Boisbriand Armada5Binghampton Senators9WSommaire du Match
27 - 2019-10-30246Toronto Marlies2Binghampton Senators6WSommaire du Match
28 - 2019-10-31256Binghampton Senators10London Knights3WSommaire du Match
30 - 2019-11-02273Lake Erie Monsters1Binghampton Senators3WSommaire du Match
32 - 2019-11-04292Binghampton Senators3Texas Stars5LSommaire du Match
33 - 2019-11-05296Binghampton Senators1Hershey Bears5LSommaire du Match
34 - 2019-11-06311Toronto Marlies6Binghampton Senators4LSommaire du Match
36 - 2019-11-08333Binghampton Senators4Quebec Rempart1WSommaire du Match
37 - 2019-11-09344Chicoutimi Sagueneens4Binghampton Senators7WSommaire du Match
39 - 2019-11-11360Laval Rockets2Binghampton Senators9WSommaire du Match
41 - 2019-11-13375Binghampton Senators3Texas Stars4LXXSommaire du Match
42 - 2019-11-14386Binghampton Senators4Worcester Sharks6LSommaire du Match
44 - 2019-11-16401Worcester Sharks7Binghampton Senators2LSommaire du Match
45 - 2019-11-17420Manitoba Moose4Binghampton Senators5WXXSommaire du Match
46 - 2019-11-18433Binghampton Senators4Rimouski Oceanic5LSommaire du Match
48 - 2019-11-20444Binghampton Senators5Victoriaville Tigres6LXSommaire du Match
49 - 2019-11-21459Binghampton Senators2Brampton Battalion5LSommaire du Match
51 - 2019-11-23473Lowell Devils3Binghampton Senators6WSommaire du Match
52 - 2019-11-24490Bridgeport Sound Tigers4Binghampton Senators8WSommaire du Match
54 - 2019-11-26509Binghampton Senators6Manitoba Moose5WSommaire du Match
56 - 2019-11-28521Binghampton Senators6Sherbrooke Phoenix7LXSommaire du Match
57 - 2019-11-29531Boisbriand Armada7Binghampton Senators6LSommaire du Match
59 - 2019-12-01550Rochester Americans6Binghampton Senators2LSommaire du Match
60 - 2019-12-02567Binghampton Senators2Las Vegas Wranglers10LSommaire du Match
62 - 2019-12-04581Victoriaville Tigres4Binghampton Senators8WSommaire du Match
64 - 2019-12-06598Binghampton Senators10Grand Rapids Griffins7WSommaire du Match
65 - 2019-12-07609Portland Pirates4Binghampton Senators6WSommaire du Match
67 - 2019-12-09630Binghampton Senators4Chicoutimi Sagueneens2WSommaire du Match
68 - 2019-12-10641Binghampton Senators2Laval Rockets6LSommaire du Match
70 - 2019-12-12652London Knights3Binghampton Senators8WSommaire du Match
71 - 2019-12-13673Calgary Hitman1Binghampton Senators8WSommaire du Match
73 - 2019-12-15689Binghampton Senators4Bridgeport Sound Tigers3WSommaire du Match
75 - 2019-12-17703Peoria Riverman4Binghampton Senators10WSommaire du Match
76 - 2019-12-18719Binghampton Senators7Peoria Riverman5WSommaire du Match
78 - 2019-12-20734Binghampton Senators5Calgary Hitman1WSommaire du Match
79 - 2019-12-21742Texas Stars1Binghampton Senators4WSommaire du Match
81 - 2019-12-23761Binghampton Senators2Quebec Rempart3LSommaire du Match
82 - 2019-12-24772Drummondville Voltigeurs5Binghampton Senators3LSommaire du Match
84 - 2019-12-26793Seattle Thunderbirds4Binghampton Senators6WSommaire du Match
85 - 2019-12-27808Binghampton Senators3Seattle Thunderbirds2WXSommaire du Match
86 - 2019-12-28817Binghampton Senators5Portland Pirates6LXSommaire du Match
88 - 2019-12-30833Las Vegas Wranglers4Binghampton Senators11WSommaire du Match
90 - 2020-01-01850Binghampton Senators2Philadelphia Phantoms4LSommaire du Match
91 - 2020-01-02861Grand Rapids Griffins5Binghampton Senators7WSommaire du Match
93 - 2020-01-04882Las Vegas Wranglers8Binghampton Senators5LSommaire du Match
95 - 2020-01-06902Binghampton Senators2Calgary Hitman4LSommaire du Match
96 - 2020-01-07905Binghampton Senators2Milwaukee Admirals5LSommaire du Match
97 - 2020-01-08918Hartford Wolf Pack6Binghampton Senators4LSommaire du Match
99 - 2020-01-10945Milwaukee Admirals2Binghampton Senators8WSommaire du Match
101 - 2020-01-12959Binghampton Senators3Drummondville Voltigeurs2WSommaire du Match
102 - 2020-01-13968Binghampton Senators6Chicago Wolves10LSommaire du Match
103 - 2020-01-14978Brampton Battalion4Binghampton Senators6WSommaire du Match
105 - 2020-01-16998Philadelphia Phantoms2Binghampton Senators6WSommaire du Match
109 - 2020-01-201026Sherbrooke Phoenix3Binghampton Senators8WSommaire du Match
111 - 2020-01-221045Binghampton Senators3Lake Erie Monsters5LSommaire du Match
112 - 2020-01-231055Binghampton Senators2Lowell Devils3LXSommaire du Match
113 - 2020-01-241066Rimouski Oceanic4Binghampton Senators2LSommaire du Match
115 - 2020-01-261085Binghampton Senators3Hartford Wolf Pack4LSommaire du Match
116 - 2020-01-271095Chicago Wolves8Binghampton Senators7LSommaire du Match
118 - 2020-01-291113Hershey Bears4Binghampton Senators2LSommaire du Match
119 - 2020-01-301122Binghampton Senators5Toronto Marlies4WSommaire du Match
121 - 2020-02-011135Binghampton Senators2Boisbriand Armada3LXSommaire du Match
123 - 2020-02-031155London Knights0Binghampton Senators10WSommaire du Match
124 - 2020-02-041163Binghampton Senators5Lake Erie Monsters4WSommaire du Match
127 - 2020-02-071184Binghampton Senators4Rochester Americans3WSommaire du Match
128 - 2020-02-081191Quebec Rempart5Binghampton Senators4LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
131 - 2020-02-111211Hershey Bears3Binghampton Senators1LSommaire du Match
132 - 2020-02-121217Binghampton Senators2Toronto Marlies3LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance63,03131,923
Assistance PCT76.87%77.86%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2316 - 77.20% 97,574$4,000,547$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,081,495$ 2,095,813$ 2,080,813$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,081,495$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 16,088$ 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
20198236310373239434846412216001202341686641141503612160180-209339463210261197151140930338971110992563046105194517902098239.23%1996965.33%12916165955.21%941181851.76%793153351.73%169192117227601547779
Total Saison Régulière8236310373239434846412216001202341686641141503612160180-209339463210261197151140930338971110992563046105194517902098239.23%1996965.33%12916165955.21%941181851.76%793153351.73%169192117227601547779