WEB CLIENT LEAGUE FILES


Binghamton Senators


GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Nate Hickerson | Team Overall : 66
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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.
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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
1Aleksi Saarela (R)X100.00743091767582827474686972726562050680
2Rudolfs Balcers (R)X100.00643093817080827566707071726563050680
3Dmytro Timashov (R)X100.00683387797281827462706769726560050670
4Bobby Butler (A)X100.00663284747582837162676770708078050670
5Sheldon Dries (R)X100.00755473747380807075676773676264050670
6Kevin PorterX100.00725087727474766671646270668685050660
7Ryan MacInnis (R)X100.00744284717678806776666471656460050660
8Alexander True (R)X100.00733083708075756777646370636460050650
9Duncan Siemens (R)X100.00844767758086896730645674468082050710
10Brandon DavidsonX100.00793978707984866730656073528580050700
11Brenden Kichton (R)X100.00733588757085877230706573567272050700
12Jimmy Oligny (R)X100.00775868707580786330615473486064050660
Scratches
1Cole Schneider (R)X100.00673992717373756767646369638574050650
2Colin MarkisonX100.00683084767375726563646071586058050640
3Andrew Agozzino (R)XX100.00755365737072696361616269645751050620
4Michael Sgarbossa (R)X100.00735070716970606258605768594844050600
5Mark Alt (R)X100.00733382767781836330635470435755050660
6Mason Geertsen (R)X100.00757468718476725930564870386060050650
TEAM AVERAGE100.0073428074757978675565627160686505066
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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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
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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


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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
Aleksi SaarelaBinghamton Senators (OTT)C221/7/1997 10:45:40 AMYes200 Lbs5 ft10NoNoNo2RFAPro & Farm750,000$750,000$Link / NHL Link
Alexander TrueBinghamton Senators (OTT)C227/17/1997 6:07:34 AMYes200 Lbs6 ft5NoNoNo2RFAPro & Farm1,000,000$1,000,000$NHL Link
Andrew AgozzinoBinghamton Senators (OTT)C/LW281/3/1991 8:41:25 AMYes187 Lbs5 ft10NoNoNo0RFAPro & FarmLink / NHL Link
Bobby ButlerBinghamton Senators (OTT)RW324/26/1987 6:08:38 AMNo189 Lbs6 ft0NoNoNo2UFAPro & Farm925,000$925,000$Link / NHL Link
Brandon DavidsonBinghamton Senators (OTT)D288/21/1991 7:28:35 AMNo208 Lbs6 ft2NoNoNo1RFAPro & Farm1,000,000$Link / NHL Link
Brenden KichtonBinghamton Senators (OTT)D276/18/1992 3:04:45 AMYes185 Lbs5 ft10NoNoNo2RFAPro & Farm900,000$900,000$Link / NHL Link
Cole SchneiderBinghamton Senators (OTT)LW298/26/1990 5:29:05 AMYes199 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$Link / NHL Link
Colin MarkisonBinghamton Senators (OTT)RW278/6/1992 6:11:55 AMNo185 Lbs5 ft10NoNoNo1RFAPro & Farm700,000$NHL Link
Dmytro TimashovBinghamton Senators (OTT)LW2310/1/1996 10:25:26 AMYes192 Lbs5 ft10NoNoNo2RFAPro & Farm600,000$600,000$Link / NHL Link
Duncan SiemensBinghamton Senators (OTT)D269/7/1993 5:00:25 AMYes210 Lbs6 ft3NoNoNo1RFAPro & Farm1,100,000$Link / NHL Link
Jimmy OlignyBinghamton Senators (OTT)D264/30/1993 9:14:09 AMYes195 Lbs5 ft10NoNoNo2RFAPro & Farm850,000$850,000$Link / NHL Link
Kevin PorterBinghamton Senators (OTT)RW347/12/1985 2:10:27 AMNo190 Lbs6 ft0NoNoNo1UFAPro & Farm850,000$Link / NHL Link
Mark AltBinghamton Senators (OTT)D2810/18/1991 11:16:03 AMYes201 Lbs6 ft4NoNoNo0RFAPro & FarmLink / NHL Link
Mason GeertsenBinghamton Senators (OTT)D244/19/1995 10:29:49 AMYes220 Lbs6 ft4NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Michael SgarbossaBinghamton Senators (OTT)C277/25/1992 8:26:21 AMYes186 Lbs6 ft0NoNoNo0RFAPro & FarmLink / NHL Link
Rudolfs BalcersBinghamton Senators (OTT)LW224/8/1997 10:27:01 AMYes175 Lbs5 ft11NoNoNo2RFAPro & Farm650,000$650,000$Link / NHL Link
Ryan MacInnisBinghamton Senators (OTT)C232/14/1996 10:28:26 AMYes185 Lbs6 ft3NoNoNo1RFAPro & Farm850,000$Link / NHL Link
Sheldon DriesBinghamton Senators (OTT)C254/23/1994 6:28:41 AMYes185 Lbs5 ft9NoNoNo2RFAPro & Farm1,100,000$1,100,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1826.28194 Lbs6 ft01.28718,056$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rudolfs BalcersSheldon Dries30014
2Dmytro TimashovAleksi SaarelaBobby Butler28014
3Ryan MacInnisKevin Porter22014
4Alexander True20014
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon DavidsonDuncan Siemens34041
2Brenden Kichton33041
3Jimmy Oligny33041
4Brandon Davidson0041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rudolfs BalcersBobby Butler55005
2Dmytro TimashovSheldon DriesAleksi Saarela45005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brenden KichtonAlexander True55014
2Brandon DavidsonDuncan Siemens45014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alexander True50050
2Ryan MacInnis50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jimmy Oligny50050
2Brandon DavidsonDuncan Siemens50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
150050Jimmy Oligny50050
250050Brandon DavidsonDuncan Siemens50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Bobby Butler50014
2Sheldon DriesAleksi Saarela50014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jimmy Oligny50041
2Brenden KichtonDuncan Siemens50041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sheldon DriesBobby ButlerBrandon DavidsonBrenden Kichton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sheldon DriesBrandon Davidson
Extra Forwards
Normal PowerPlayPenalty Kill
Alexander True, Ryan MacInnis, Ryan MacInnis, Alexander TrueAleksi Saarela
Extra Defensemen
Normal PowerPlayPenalty Kill
, Jimmy Oligny, Duncan SiemensJimmy OlignyBrenden Kichton,
Penalty Shots
Aleksi Saarela, Rudolfs Balcers, Bobby Butler, Sheldon Dries, Dmytro Timashov
Goalie
#1 : , #2 :


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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,292,500$ 1,292,500$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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