Login

Binghamton Senators
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Remi Marsan | Morale : 15 | Team Overall : 62
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerRemi Marsan
DivisionNORD-EST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team21
Contract Limit44 / 50
Prospects19


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 SPAgeContractSalary
1Juuso Parssinen (R)X100.007642877086846972807160627364664950650211700,000$
2Joey AndersonX100.006537956878838467666369686767686150650231750,000$
3Stefan NoesenX100.007042726778808869797266596771726650650292700,000$
4Walker DuehrX100.007441836682818464596167606567684250630243700,000$
5Jiri Kulich (R)X100.005636916966917167636166646759618250620181700,000$
6Ridly Greig (R)X100.006839726771827065706763656461638050620191700,000$
7Bobby McMannX100.007239906482877963716164626468673750620254700,000$
8Alex SteevesX100.006337846474888463716558606264664350610222834,167$
9Danil Gushchin (R)X100.005835896763927364576365596861636650610201700,000$
10Jaret Anderson-DolanX100.007134836472788062745763606263657250600222750,000$
11Ben HarpurX100.008653736299807559306558644968705050650273750,000$
12Darren RaddyshX100.006840806677868565306759625167693750640265700,000$
13Connor MackeyX100.007548626380837663306662645068693550640252912,500$
14Egor ZamulaX100.006638926481828464306759625065674050640221786,667$
15Ty SmithX100.0061378769688781663072636154636582506402211,263,333$
16Leon GawankeX100.006639846275838561306260595064665550610221810,000$
Scratches
1Ryan SuzukiX100.006137866170747560676159576062648050590201863,333$
2Zayde WisdomX100.006237895671696753615554565261636550550191896,667$
3Carter Savoie (R)X100.005938865468766853545155525461636250540201700,000$
4Emil Andrae (R)X100.005738816266656059306358565061637150570201700,000$
5Albert Johansson (R)X100.005939775568656953305654574662646850560211700,000$
TEAM AVERAGE100.00663983647581776253636160586466595061
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 SPAgeContractSalary
1Joey Daccord100.00766970817573767574767569795250720252750,000$
2Dustin Wolf100.00787071707776787776787762676050720211813,333$
Scratches
TEAM AVERAGE100.0077707176767577767577766673565072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 NamePOSGP 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
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


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Albert JohanssonBinghamton Senators (OTT)D212001-01-04Yes168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Alex SteevesBinghamton Senators (OTT)C221999-12-10No196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm834,167$85,119$0$0$No834,167$--------834,167$--------No--------Link
Ben HarpurBinghamton Senators (OTT)D271995-01-12No231 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm750,000$76,531$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Bobby McMannBinghamton Senators (OTT)C251996-06-15No208 Lbs6 ft2NoNoFree AgentNoNo42024-02-28FalseFalsePro & Farm700,000$71,429$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Link
Carter SavoieBinghamton Senators (OTT)LW202002-01-23Yes192 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Connor MackeyBinghamton Senators (OTT)D251996-09-12No197 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm912,500$93,112$0$0$No912,500$--------912,500$--------No--------Link
Danil GushchinBinghamton Senators (OTT)LW202002-02-06Yes165 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Darren RaddyshBinghamton Senators (OTT)D261996-02-28No200 Lbs6 ft1NoNoN/ANoNo5FalseFalsePro & Farm700,000$71,429$0$0$No700,000$700,000$700,000$700,000$-----700,000$700,000$700,000$700,000$-----NoNoNoNo-----Link
Dustin WolfBinghamton Senators (OTT)G212001-04-16No166 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm813,333$82,993$0$0$No---------------------------Link
Egor ZamulaBinghamton Senators (OTT)D222000-03-30No177 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm786,667$80,272$0$0$No---------------------------Link
Emil AndraeBinghamton Senators (OTT)D202002-02-23Yes181 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Jaret Anderson-DolanBinghamton Senators (OTT)C221999-09-12No200 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$76,531$0$0$No750,000$--------750,000$--------No--------Link
Jiri KulichBinghamton Senators (OTT)RW182004-04-14Yes172 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Joey AndersonBinghamton Senators (OTT)RW231998-06-19No207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$76,531$0$0$No---------------------------Link
Joey DaccordBinghamton Senators (OTT)G251996-08-19No201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$76,531$0$0$No750,000$--------750,000$--------No--------Link
Juuso ParssinenBinghamton Senators (OTT)C212001-02-01Yes212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Leon GawankeBinghamton Senators (OTT)D221999-05-31No186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm810,000$82,653$0$0$No---------------------------Link
Ridly GreigBinghamton Senators (OTT)C192002-08-08Yes183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$71,429$0$0$No---------------------------
Ryan SuzukiBinghamton Senators (OTT)C202001-05-28No176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$88,095$0$0$No---------------------------Link
Stefan NoesenBinghamton Senators (OTT)RW291993-02-12No205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm700,000$71,429$0$0$No700,000$--------700,000$--------No--------Link
Ty SmithBinghamton Senators (OTT)D222000-03-24No180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,263,333$128,912$0$0$No---------------------------Link
Walker DuehrBinghamton Senators (OTT)RW241997-11-23No210 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$71,429$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Link
Zayde WisdomBinghamton Senators (OTT)C192002-07-07No195 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm896,667$91,497$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2322.30192 Lbs6 ft01.70777,391$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Danil GushchinJoey Anderson30023
2Bobby McMannRidly GreigStefan Noesen30023
3Jaret Anderson-DolanAlex Steeves20023
4Jiri KulichWalker Duehr20023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben Harpur40023
2Darren RaddyshConnor Mackey30023
3Egor ZamulaTy Smith30023
4Ben Harpur0023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Danil GushchinJoey Anderson60122
2Bobby McMannRidly GreigStefan Noesen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben Harpur60122
2Darren RaddyshConnor Mackey40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Danil Gushchin60041
2Ridly GreigAlex Steeves40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben Harpur60041
2Darren RaddyshConnor Mackey40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Ben Harpur60122
2Ridly Greig40122Darren RaddyshConnor Mackey40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Danil Gushchin60122
2Ridly GreigJaret Anderson-Dolan40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben Harpur60122
2Darren RaddyshConnor Mackey40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Danil GushchinJoey AndersonBen Harpur
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Danil GushchinJoey AndersonBen Harpur
Extra Forwards
Normal PowerPlayPenalty Kill
Jiri Kulich, Ridly Greig, Bobby McMannJiri Kulich, Ridly GreigJiri Kulich
Extra Defensemen
Normal PowerPlayPenalty Kill
Connor Mackey, Egor Zamula, Ty SmithConnor MackeyConnor Mackey, Egor Zamula
Penalty Shots
Joey Anderson, Stefan Noesen, , Walker Duehr, Jiri Kulich
Goalie
#1 : Joey Daccord, #2 : Dustin Wolf
Custom OT Lines Forwards
Joey Anderson, Stefan Noesen, , Walker Duehr, Jiri Kulich, Ridly Greig, Ridly Greig, Bobby McMann, Danil Gushchin, Alex Steeves, Jaret Anderson-Dolan
Custom OT Lines Defensemen
, Ben Harpur, Darren Raddysh, Connor Mackey, Egor Zamula


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%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%000%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%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
53 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,788,000$ 1,788,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 5 0$ 0$




Binghamton Senators Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Binghamton Senators Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Binghamton Senators Career Team Stats

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

Binghamton Senators Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Binghamton Senators Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA