WEB CLIENT LEAGUE FILES


Binghamton Senators


GP: 9 | W: 4 | L: 4 | OTL: 1 | P: 9
GF: 22 | GA: 22 | PP%: 33.33% | PK%: 92.31%
GM : Nate Hickerson | Team Overall : 67
Next Games at Pensacola Ice Flyers
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name 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
1Max Reinhart (R) (C)XX100.00713488746979826877656373728182050680
2Paul CareyX100.00734584727178816874666171627577050670
3Kevin PorterX100.00745084737476786674646270668180050660
4Brandon Bollig (A)XX100.00776774707878776563626071508484050660
5Bobby ButlerX100.00643279757581807062656769697470050660
6Paul ThompsonX100.00776275687577786769656473616058050650
7Dmytro Timashov (R)X100.00673384787077757262656368685855050650
8Rudolfs Balcers (R)X100.00643092806774727363666568695553050650
9Cole Schneider (R)X100.00693990727073786766646269638370050650
10Sheldon Dries (R)X100.00725471737276746774606672685458050650
11Ryan MacInnis (R)X100.00734282707675756575636270645853050640
12Alexander True (R)X100.00753080697973706677616370635753050640
13Tim ErixonX100.00753378757291927330706673637670050711
14Duncan Siemens (R) (A)X100.00844767757884846630625473467477050700
15Brandon DavidsonX100.00793980707883846630646074528175050690
16Nicklas GrossmanX100.00693994707984836530634374388784050680
17Brenden Kichton (R)X100.00713588756883827030676371566665050680
18Jimmy Oligny (R)X100.00745870707376706030585273485257050640
Scratches
1Andrew Agozzino (R)XX100.00765365746773696361616269645751050630
2Colin MarkisonX100.00683082767373726563645771585754050630
3Michael Sgarbossa (R)X100.00745070726670606258605768594844050600
4Mark Alt (R)X100.00733382767582856230605369435151050660
5Mason Geertsen (R)X100.00757467718276745930564869385858050650
TEAM AVERAGE100.0073447973737877665563607158666405066
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jordan Binnington (R)100.0080788081808081798075806666050760
2Jeff Glass100.0076797884757979777779797262050750
Scratches
1Nathan Lieuwen (R)100.0075507082767776777676743836050690
TEAM AVERAGE100.007769768277797978787778595505073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Blashill69837580747483USA451800,000$


Filter Tips
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
# Player Name Team NamePOS GP 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
1Bobby ButlerBinghamton Senators (OTT)RW9246-2201317266197.69%016518.42145419000001056.25%1600000.7211000100
2Tim ErixonBinghamton Senators (OTT)D9246-28013141831011.11%1216718.5621361600003100.00%000000.7200000010
3Rudolfs BalcersBinghamton Senators (OTT)LW9235-200522225289.09%016518.43123319000000055.56%900000.6001000010
4Cole SchneiderBinghamton Senators (OTT)LW92354201996822.22%311312.6400000000000057.14%700000.8801000010
5Brandon DavidsonBinghamton Senators (OTT)D9145-14029984912.50%1018520.64123321000017000.00%000000.5400000010
6Brenden KichtonBinghamton Senators (OTT)D9235-14047184511.11%518520.57101620000110000.00%000000.5400000100
7Sheldon DriesBinghamton Senators (OTT)C9055-3402117226190.00%216017.85044319000000048.02%17700000.6201000000
8Paul ThompsonBinghamton Senators (OTT)RW9224-84023122011810.00%215317.00112618000070158.33%1200000.5200000101
9Duncan SiemensBinghamton Senators (OTT)D9134-1603510103810.00%719121.31022616000023010.00%000000.4200000002
10Nicklas GrossmanBinghamton Senators (OTT)D9033-240371130.00%1518420.4900000000124000.00%000000.3300000000
11Jimmy OlignyBinghamton Senators (OTT)D9213-380241561133.33%1217519.5100000000016100.00%000000.3400000000
12Ryan MacInnisBinghamton Senators (OTT)C91231003811269.09%09210.26101218000011048.80%12500000.6511000000
13Paul CareyBinghamton Senators (OTT)LW930312026163618.75%0798.87000000000110060.00%500000.7500000100
14Brandon BolligBinghamton Senators (OTT)LW/RW911246020782812.50%213915.54000000000260050.00%800000.2900000001
15Dmytro TimashovBinghamton Senators (OTT)LW9112-800810185155.56%214816.50000118000030045.45%1100000.2711000000
16Alexander TrueBinghamton Senators (OTT)C90224001414146150.00%112814.26000000000130050.71%14000000.3101000000
17Kevin PorterBinghamton Senators (OTT)RW9011100884060.00%0677.4800000000000033.33%300000.3001000000
18Max ReinhartBinghamton Senators (OTT)C/LW9011-7201120174110.00%216218.05000000000300051.49%20200000.1201000000
Team Total or Average162224365-25560237212248621958.87%75266716.47816244018900021904250.21%71500000.4939000444
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jordan BinningtonBinghamton Senators (OTT)62400.8992.6633800151480000.000063002
2Jeff GlassBinghamton Senators (OTT)42010.9281.76205006830000.556936000
Team Total or Average104410.9092.3254300212310000.556999002


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alexander TrueBinghamton Senators (OTT)C217/17/1997 6:07:34 AMYes201 Lbs6 ft5NoNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$NHL Link
Andrew AgozzinoBinghamton Senators (OTT)C/LW271/3/1991 8:41:25 AMYes187 Lbs5 ft10NoNoNo1RFAPro & Farm1,250,000$Link / NHL Link
Bobby ButlerBinghamton Senators (OTT)RW314/26/1987 6:08:38 AMNo189 Lbs6 ft0NoNoNo3UFAPro & Farm925,000$925,000$925,000$Link / NHL Link
Brandon BolligBinghamton Senators (OTT)LW/RW311/31/1987 8:21:28 AMNo220 Lbs6 ft2NoNoNo1UFAPro & Farm800,000$Link / NHL Link
Brandon DavidsonBinghamton Senators (OTT)D278/21/1991 7:28:35 AMNo208 Lbs6 ft2NoNoNo2RFAPro & Farm1,000,000$1,000,000$Link / NHL Link
Brenden KichtonBinghamton Senators (OTT)D266/18/1992 3:04:45 AMYes185 Lbs5 ft10NoNoNo3RFAPro & Farm900,000$900,000$900,000$Link / NHL Link
Cole SchneiderBinghamton Senators (OTT)LW288/26/1990 5:29:05 AMYes203 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$1,000,000$Link / NHL Link
Colin MarkisonBinghamton Senators (OTT)RW268/6/1992 6:11:55 AMNo185 Lbs5 ft10NoNoNo2RFAPro & Farm700,000$700,000$NHL Link
Dmytro TimashovBinghamton Senators (OTT)LW2210/1/1996 10:25:26 AMYes195 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link / NHL Link
Duncan SiemensBinghamton Senators (OTT)D259/7/1993 5:00:25 AMYes210 Lbs6 ft3NoNoNo2RFAPro & Farm1,100,000$1,100,000$Link / NHL Link
Jeff GlassBinghamton Senators (OTT)C3311/19/1985 7:05:36 AMNo206 Lbs6 ft3NoNoNo1UFAPro & Farm900,000$Link / NHL Link
Jimmy OlignyBinghamton Senators (OTT)D254/30/1993 9:14:09 AMYes195 Lbs5 ft10NoNoNo3RFAPro & Farm850,000$850,000$850,000$Link / NHL Link
Jordan BinningtonBinghamton Senators (OTT)D257/11/1993 5:18:26 AMYes174 Lbs6 ft1NoNoNo3RFAPro & Farm900,000$900,000$900,000$Link / NHL Link
Kevin PorterBinghamton Senators (OTT)RW337/12/1985 2:10:27 AMNo190 Lbs6 ft0NoNoNo2UFAPro & Farm850,000$850,000$Link / NHL Link
Mark AltBinghamton Senators (OTT)D2710/18/1991 11:16:03 AMYes201 Lbs6 ft4NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Mason GeertsenBinghamton Senators (OTT)D234/19/1995 10:29:49 AMYes215 Lbs6 ft4NoNoNo2RFAPro & Farm650,000$650,000$Link / NHL Link
Max ReinhartBinghamton Senators (OTT)C/LW262/4/1992 3:56:48 AMYes195 Lbs6 ft1NoNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$Link / NHL Link
Michael SgarbossaBinghamton Senators (OTT)C267/25/1992 8:26:21 AMYes186 Lbs6 ft0NoNoNo1RFAPro & Farm1,100,000$Link / NHL Link
Nathan LieuwenBinghamton Senators (OTT)D278/8/1991 3:15:35 AMYes189 Lbs6 ft5NoNoNo1RFAPro & Farm600,000$Link / NHL Link
Nicklas GrossmanBinghamton Senators (OTT)D337/12/1985 2:10:27 AMNo230 Lbs6 ft4NoNoNo1UFAPro & Farm1,000,000$Link / NHL Link
Paul CareyBinghamton Senators (OTT)LW309/24/1988 5:08:19 AMNo200 Lbs6 ft1NoNoNo1UFAPro & Farm700,000$Link / NHL Link
Paul ThompsonBinghamton Senators (OTT)RW3011/30/1988 5:00:44 AMNo200 Lbs6 ft1NoNoNo2UFAPro & Farm850,000$850,000$Link / NHL Link
Rudolfs BalcersBinghamton Senators (OTT)LW214/8/1997 10:27:01 AMYes165 Lbs5 ft11NoNoNo3RFAPro & Farm650,000$650,000$650,000$Link / NHL Link
Ryan MacInnisBinghamton Senators (OTT)C222/14/1996 10:28:26 AMYes185 Lbs6 ft3NoNoNo2RFAPro & Farm850,000$850,000$Link / NHL Link
Sheldon DriesBinghamton Senators (OTT)C244/23/1994 6:28:41 AMYes185 Lbs5 ft9NoNoNo3RFAPro & Farm1,100,000$1,100,000$1,100,000$NHL Link
Tim ErixonBinghamton Senators (OTT)D272/24/1991 5:52:05 AMNo200 Lbs6 ft2NoNoNo1RFAPro & Farm1,350,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2626.77196 Lbs6 ft12.00895,192$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rudolfs BalcersMax ReinhartBobby Butler32014
2Dmytro TimashovSheldon DriesPaul Thompson28014
3Cole SchneiderAlexander TrueBrandon Bollig25122
4Paul CareyRyan MacInnisKevin Porter15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Duncan SiemensBrenden Kichton34041
2Brandon DavidsonNicklas Grossman33041
3Tim ErixonJimmy Oligny33041
4Jimmy OlignyNicklas Grossman0041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rudolfs BalcersSheldon DriesBobby Butler60014
2Dmytro TimashovRyan MacInnisPaul Thompson40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon DavidsonBrenden Kichton55014
2Duncan SiemensTim Erixon45014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Max ReinhartBrandon Bollig60041
2Alexander TruePaul Carey40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Duncan SiemensNicklas Grossman60050
2Brandon DavidsonJimmy Oligny40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Max Reinhart50050Brandon DavidsonJimmy Oligny60050
2Alexander True50050Duncan SiemensNicklas Grossman40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Max ReinhartRudolfs Balcers50014
2Ryan MacInnisBobby Butler50014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jimmy OlignyNicklas Grossman50041
2Duncan SiemensBrenden Kichton50041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rudolfs BalcersSheldon DriesBobby ButlerBrandon DavidsonBrenden Kichton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Paul CareyMax ReinhartPaul ThompsonBrandon DavidsonNicklas Grossman
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan MacInnis, Alexander True, Cole SchneiderMax Reinhart, Brandon BolligPaul Thompson
Extra Defensemen
Normal PowerPlayPenalty Kill
Tim Erixon, Jimmy Oligny, Brenden KichtonNicklas GrossmanBrenden Kichton, Tim Erixon
Penalty Shots
Max Reinhart, Bobby Butler, Rudolfs Balcers, Dmytro Timashov, Ryan MacInnis
Goalie
#1 : Jordan Binnington, #2 : Jeff Glass


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Adirondack Angels1010000034-11010000034-10000000000000.0003690089532693856811381061311100.00%30100.00%014628950.52%14228849.31%7113851.45%2121452116712059
2Bridgeport Sound Tigers1000000123-1000000000001000000123-110.5002460089532293856811251010192150.00%50100.00%014628950.52%14228849.31%7113851.45%2121452116712059
3Carolina Panthers1010000024-21010000024-20000000000000.0002460089532793856811285631200.00%20100.00%014628950.52%14228849.31%7113851.45%2121452116712059
4Hartford Wolfpack22000000633110000004221100000021141.000612180089535693856811452185811327.27%40100.00%014628950.52%14228849.31%7113851.45%2121452116712059
5Hershey Bears1010000023-11010000023-10000000000000.0002460089533093856811187630200.00%3166.67%014628950.52%14228849.31%7113851.45%2121452116712059
6Jacksonville Jokers11000000312110000003120000000000021.000369008953269385681124462611100.00%30100.00%014628950.52%14228849.31%7113851.45%2121452116712059
7London Knights11000000431110000004310000000000021.00047110089533093856811288103222100.00%4175.00%014628950.52%14228849.31%7113851.45%2121452116712059
8Pensacola Ice Flyers1010000001-1000000000001010000001-100.00000000895331938568112510428300.00%20100.00%014628950.52%14228849.31%7113851.45%2121452116712059
Total944000012222063300000181713110000145-190.50022436500895324893856811231755623724833.33%26292.31%014628950.52%14228849.31%7113851.45%2121452116712059
_Since Last GM Reset944000012222063300000181713110000145-190.50022436500895324893856811231755623724833.33%26292.31%014628950.52%14228849.31%7113851.45%2121452116712059
_Vs Conference944000012222063300000181713110000145-190.50022436500895324893856811231755623724833.33%26292.31%014628950.52%14228849.31%7113851.45%2121452116712059

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
99W3224365248231755623700
All Games
GPWLOTWOTL SOWSOLGFGA
94400012222
Home Games
GPWLOTWOTL SOWSOLGFGA
63300001817
Visitor Games
GPWLOTWOTL SOWSOLGFGA
311000145
Last 10 Games
WLOTWOTL SOWSOL
440001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
24833.33%26292.31%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
938568118953
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
14628950.52%14228849.31%7113851.45%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2121452116712059


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2018-11-2516Carolina Panthers4Binghamton Senators2LBoxScore
4 - 2018-11-2732Jacksonville Jokers1Binghamton Senators3WBoxScore
7 - 2018-11-3062Adirondack Angels4Binghamton Senators3LBoxScore
9 - 2018-12-0285Binghamton Senators2Bridgeport Sound Tigers3LXXBoxScore
10 - 2018-12-0394Hershey Bears3Binghamton Senators2LBoxScore
12 - 2018-12-05114Binghamton Senators0Pensacola Ice Flyers1LBoxScore
13 - 2018-12-06125London Knights3Binghamton Senators4WBoxScore
14 - 2018-12-07140Binghamton Senators2Hartford Wolfpack1WBoxScore
16 - 2018-12-09154Hartford Wolfpack2Binghamton Senators4WBoxScore
18 - 2018-12-11178Binghamton Senators-Pensacola Ice Flyers-
19 - 2018-12-12180Binghamton Senators-Texas Stars-
21 - 2018-12-14197Jacksonville Jokers-Binghamton Senators-
22 - 2018-12-15215Binghamton Senators-Adirondack Angels-
24 - 2018-12-17225Richmond Renegades-Binghamton Senators-
26 - 2018-12-19247Hartford Wolfpack-Binghamton Senators-
28 - 2018-12-21265Binghamton Senators-Wilkes Barre-Scranton-
29 - 2018-12-22278Syracuse Crunch-Binghamton Senators-
31 - 2018-12-24298Binghamton Senators-Ontario Reign-
32 - 2018-12-25308Binghamton Senators-Adirondack Angels-
34 - 2018-12-27321Wilkes Barre-Scranton-Binghamton Senators-
36 - 2018-12-29340Philadelphia Phantoms-Binghamton Senators-
38 - 2018-12-31353Binghamton Senators-Texas Stars-
39 - 2019-01-01372Durham Pioneers-Binghamton Senators-
41 - 2019-01-03391Binghamton Senators-Carolina Panthers-
42 - 2019-01-04400Binghamton Senators-Wilkes Barre-Scranton-
43 - 2019-01-05407Hartford Wolfpack-Binghamton Senators-
45 - 2019-01-07433London Knights-Binghamton Senators-
47 - 2019-01-09446Binghamton Senators-Milwaukee Admirals-
49 - 2019-01-11464Cleveland Monsters-Binghamton Senators-
50 - 2019-01-12473Binghamton Senators-Richmond Renegades-
52 - 2019-01-14496Adirondack Angels-Binghamton Senators-
54 - 2019-01-16513Binghamton Senators-Rockford IceHogs-
55 - 2019-01-17526Rockford IceHogs-Binghamton Senators-
57 - 2019-01-19538Binghamton Senators-Austin Aces-
58 - 2019-01-20556Halifax Mooseheads-Binghamton Senators-
61 - 2019-01-23577Binghamton Senators-Long Island Ducks-
62 - 2019-01-24590Toronto Marlies-Binghamton Senators-
63 - 2019-01-25603Binghamton Senators-Jacksonville Jokers-
64 - 2019-01-26619Denver Spurs-Binghamton Senators-
67 - 2019-01-29640Binghamton Senators-Bridgeport Sound Tigers-
68 - 2019-01-30651Seattle Thunderbirds-Binghamton Senators-
69 - 2019-01-31665Binghamton Senators-Philadelphia Phantoms-
72 - 2019-02-03684Laval Rocket-Binghamton Senators-
73 - 2019-02-04701Binghamton Senators-London Knights-
74 - 2019-02-05711Binghamton Senators-Louisville Thunder-
76 - 2019-02-07722Richmond Renegades-Binghamton Senators-
77 - 2019-02-08738Binghamton Senators-Iowa Wild-
79 - 2019-02-10753Austin Aces-Binghamton Senators-
82 - 2019-02-13776Milwaukee Admirals-Binghamton Senators-
83 - 2019-02-14789Binghamton Senators-Toronto Marlies-
85 - 2019-02-16807Jacksonville Jokers-Binghamton Senators-
87 - 2019-02-18828Binghamton Senators-Cleveland Monsters-
88 - 2019-02-19837Binghamton Senators-Oakville Wolves-
89 - 2019-02-20843Iowa Wild-Binghamton Senators-
90 - 2019-02-21858Binghamton Senators-Oakland Seals-
92 - 2019-02-23875Bridgeport Sound Tigers-Binghamton Senators-
95 - 2019-02-26899Binghamton Senators-Denver Spurs-
96 - 2019-02-27909Oakland Seals-Binghamton Senators-
97 - 2019-02-28929Binghamton Senators-Hartford Wolfpack-
98 - 2019-03-01935Pensacola Ice Flyers-Binghamton Senators-
101 - 2019-03-04962Butte Wolverines-Binghamton Senators-
102 - 2019-03-05976Binghamton Senators-Hershey Bears-
104 - 2019-03-07993Hershey Bears-Binghamton Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
105 - 2019-03-081004Binghamton Senators-Philadelphia Phantoms-
107 - 2019-03-101023Texas Stars-Binghamton Senators-
108 - 2019-03-111036Binghamton Senators-Hershey Bears-
110 - 2019-03-131051Binghamton Senators-Seattle Thunderbirds-
111 - 2019-03-141059Louisville Thunder-Binghamton Senators-
113 - 2019-03-161085Long Island Ducks-Binghamton Senators-
114 - 2019-03-171096Binghamton Senators-Butte Wolverines-
117 - 2019-03-201117Long Island Ducks-Binghamton Senators-
118 - 2019-03-211132Binghamton Senators-Syracuse Crunch-
120 - 2019-03-231145Ontario Reign-Binghamton Senators-
121 - 2019-03-241160Binghamton Senators-Seattle Thunderbirds-
123 - 2019-03-261178Oakville Wolves-Binghamton Senators-
125 - 2019-03-281197Binghamton Senators-Laval Rocket-
126 - 2019-03-291204Binghamton Senators-Halifax Mooseheads-
127 - 2019-03-301214Binghamton Senators-Durham Pioneers-
129 - 2019-04-011225Carolina Panthers-Binghamton Senators-
130 - 2019-04-021237Binghamton Senators-Halifax Mooseheads-
132 - 2019-04-041253Carolina Panthers-Binghamton Senators-
133 - 2019-04-051270Binghamton Senators-Syracuse Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
35 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
2,327,500$ 2,309,167$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
396,780$ 17,369$ 295,273$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 117 23,340$ 2,730,780$




OverallHomeVisitor
Year 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
2018944000012222063300000181713110000145-1922436500895324893856811231755623724833.33%26292.31%014628950.52%14228849.31%7113851.45%2121452116712059
Total Regular Season944000012222063300000181713110000145-1922436500895324893856811231755623724833.33%26292.31%014628950.52%14228849.31%7113851.45%2121452116712059