Please rotate your device to landscape mode for a better experience.
Login

Binghamton Whalers
GP: 17 | W: 5 | L: 11 | OTL: 1 | P: 11
GF: 52 | GA: 68 | PP%: 21.67% | PK%: 71.82%
GM : Jérôme Murray | Morale : 40 | Team Overall : 64
Next Games #204 vs Atlanta Knights

Game Center
Binghamton Whalers
5-11-1, 11pts
4
FINAL
3 Maine Mariners
8-7-1, 17pts
Team Stats
L1StreakL4
2-5-1Home Record4-3-1
3-6-0Home Record4-4-0
2-7-1Last 10 Games4-5-1
3.06Goals Per Game3.88
4.00Goals Against Per Game3.19
21.67%Power Play Percentage21.25%
71.82%Penalty Kill Percentage81.08%
Binghamton Whalers
5-11-1, 11pts
2
FINAL
3 Sherbrooke Canadiens
6-8-1, 13pts
Team Stats
L1StreakW2
2-5-1Home Record5-3-1
3-6-0Home Record1-5-0
2-7-1Last 10 Games5-5-0
3.06Goals Per Game2.93
4.00Goals Against Per Game3.67
21.67%Power Play Percentage23.29%
71.82%Penalty Kill Percentage75.38%
Binghamton Whalers
5-11-1, 11pts
Day 24
Atlanta Knights
11-6-0, 22pts
Team Stats
L1StreakW1
2-5-1Home Record6-2-0
3-6-0Away Record5-4-0
2-7-1Last 10 Games4-6-0
3.06Goals Per Game4.41
4.00Goals Against Per Game4.41
21.67%Power Play Percentage28.41%
71.82%Penalty Kill Percentage75.00%
Hartford Wolf Pack
8-8-1, 17pts
Day 25
Binghamton Whalers
5-11-1, 11pts
Team Stats
W1StreakL1
4-3-1Home Record2-5-1
4-5-0Away Record3-6-0
5-5-0Last 10 Games2-7-1
4.00Goals Per Game3.06
3.47Goals Against Per Game3.06
23.96%Power Play Percentage21.67%
73.49%Penalty Kill Percentage71.82%
Milwaukee Admirals
8-9-0, 16pts
Day 27
Binghamton Whalers
5-11-1, 11pts
Team Stats
OTW1StreakL1
6-2-0Home Record2-5-1
2-7-0Away Record3-6-0
6-4-0Last 10 Games2-7-1
3.71Goals Per Game3.06
4.00Goals Against Per Game3.06
20.51%Power Play Percentage21.67%
69.51%Penalty Kill Percentage71.82%
Team Leaders
Goals
Michael Peca
11
Assists
Tie Domi
10
Points
Michael Peca
19
Plus/Minus
Ian Moran
8
Wins
Peter Skudra
3
Save Percentage
Steve Passmore
0.89

Team Stats
Goals For
52
3.06 GFG
Shots For
437
25.71 Avg
Power Play Percentage
21.7%
13 GF
Offensive Zone Start
35.9%
Goals Against
68
4.00 GAA
Shots Against
561
33.00 Avg
Penalty Kill Percentage
71.8%%
31 GA
Defensive Zone Start
44.1%
Team Info

General ManagerJérôme Murray
CoachLarry Pleau
DivisionAdams
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team25
Farm Team20
Contract Limit45 / 250
Prospects0


Team History

This Season5-11-1 (11PTS)
History293-247-57 (0.491%)
Playoff Appearances5
Playoff Record (W-L)35 - 38 (0.479%)
Stanley Cup0


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
1Michael Peca (R)X99.0078436676758283747678718266677104074018385,000$
2Tie Domi (R)XX100.00859333718880826947676767626674040680231375,000$
3Igor Korolev (R)XXX100.0063267876657565746571666563777004068021385,000$
4Darren McCarty (R)X100.0082834168827874614464666953817504068020362,000$
5Chris KontosXXX100.00683389677172746664677071585657040670283445,000$
6Jeff Daniels (R)XXX100.00672894706878796662646570465064040670243350,000$
7Turner Stevenson (R)X100.0075605770737777664464647661605904067020155,000$
8Randy GilhenXXX100.00713386687569666568676773574239040650292355,000$
9Dan BylsmaXXX100.00723786687074746456596170455465040650213235,000$
10Jeff Shantz (R)XX100.0065268070657775667465597558454204065018370,000$
11Stephane Morin (R)XX100.00652680696372726966706762664442040640232200,000$
12Shane ChurlaX100.00686925577166645848585462482525040560273100,000$
13Steve Staios (R)X100.0071655471758180694264687459576204069018262,500$
14Glen Featherstone (R)X100.00766745727773747040676477524749040680243400,000$
15Marcus Ragnarsson (R)X100.0073427671728077674066647458556304068020366,000$
16Jason Marshall (R)X100.00705757717273736840596071525047040650213250,000$
17Joel Bouchard (R)X100.0067626563747473614064647146586504065018361,000$
18Kevin Dahl (R)X100.00683770687071636540645870464439040630242250,000$
19Ian Moran (R)X100.0068307866727472644361587157414004063019155,000$
20Brad Werenka (R)X100.00613273686570656740626364553738040600231200,000$
Scratches
1Mike MillarX100.00582878616066655649626254482525040560273100,000$
2Chris BrantX100.00595351525866675148616052422525040530273100,000$
TEAM AVERAGE99.9570476668717472655265646954505204065
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
1Peter Skudra (R)100.006562658368646968686671526204066019250,000$
2Steve Passmore (R)100.006566677572656862667167343204063019345,000$
Scratches
1Kay Whitmore100.0064646776636058595963552525040580252100,000$
TEAM AVERAGE100.006564667868636563646764374004062
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Larry Pleau50606050505060USA45125,000$


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 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
1Michael PecaBinghamton Whalers (HAR)C171181958087462195517.74%840123.641568462022960055.25%61000010.9501000111
2Steve StaiosBinghamton Whalers (HAR)D176814543552123151519.35%2239022.984261750011170100%000000.7200001110
3Tie DomiBinghamton Whalers (HAR)LW/RW1731013427552193213349.38%029017.11033545000000142.11%1900000.8900010101
4Marcus RagnarssonBinghamton Whalers (HAR)D1758134240271724122420.83%2239523.253251250000071100%000000.6600000010
5Igor KorolevBinghamton Whalers (HAR)C/LW/RW173710-4202263813257.89%428316.68033645000001141.38%2900000.7111000000
6Jeff DanielsBinghamton Whalers (HAR)C/LW/RW173693407232842210.71%223113.60011240001500027.27%2200000.7800000000
7Dan BylsmaBinghamton Whalers (HAR)C/LW/RW174484409202761014.81%017410.2401100000020043.30%19400010.9200000110
8Joel BouchardBinghamton Whalers (HAR)D17347-7407101431321.43%3235220.72314841000171100%000000.4000000000
9Stephane MorinBinghamton Whalers (HAR)C/LW17336060810315189.68%018210.7100000000000011.11%900000.6600000001
10Jason MarshallBinghamton Whalers (HAR)D170667160231110370%91629.570002100008000%000000.7400000001
11Turner StevensonBinghamton Whalers (HAR)RW17156-418036233013233.33%235721.060227450002880135.29%1700000.3400000001
12Darren McCartyBinghamton Whalers (HAR)RW171566300428248204.17%327316.09011346000000020.00%1500000.4401000000
13Chris KontosBinghamton Whalers (HAR)C/LW/RW173251001161361623.08%21428.39000100110290042.34%13700000.7000000100
14Glen FeatherstoneBinghamton Whalers (HAR)D17145-71805217146207.14%2634520.31123541000065000%000000.2900000000
15Ian MoranBinghamton Whalers (HAR)D170558207105120%1018410.8700001000033000%000000.5400000000
16Jeff ShantzBinghamton Whalers (HAR)C/LW17325-66093628112610.71%231818.751129460000440051.64%39700000.3100000000
17Brad WerenkaBinghamton Whalers (HAR)D17134-2809350420.00%71066.250000000000100%000000.7500000001
18Randy GilhenBinghamton Whalers (HAR)C/LW/RW170220002815270%11116.5700000000000037.50%800000.3600000000
19Kevin DahlBinghamton Whalers (HAR)D17112-212015851220.00%111066.280000000000000%000000.3700000000
20Shane ChurlaBinghamton Whalers (HAR)RW1700001001931020%11116.5600000000000050.00%40000000000000
Team Total or Average3405293145152421038735443713134511.90%164492414.481324378546722476355349.62%146100020.5913011546
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
1Peter SkudraBinghamton Whalers (HAR)113700.8794.0756000383130110098010
2Steve PassmoreBinghamton Whalers (HAR)102410.8903.5146140272460010.333389001
Team Total or Average2151110.8843.821022406555901231717011


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 Country 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 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
Brad WerenkaBinghamton Whalers (HAR)D231969-02-12CANYes205 Lbs6 ft2NoNoTrade2024-07-04NoNo12025-01-07FalseFalsePro & Farm200,000$0$0$No---------------------------Link
Chris BrantBinghamton Whalers (HAR)LW271965-06-29CANNo190 Lbs6 ft1NoNoN/ANoNo32026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$100,000$-------100,000$100,000$-------NoNo-------Link
Chris KontosBinghamton Whalers (HAR)C/LW/RW281963-12-10CANNo195 Lbs6 ft1NoNoTrade2024-02-26NoYes32025-08-18FalseFalsePro & Farm445,000$0$0$No445,000$445,000$-------445,000$445,000$-------NoNo-------Link
Dan BylsmaBinghamton Whalers (HAR)C/LW/RW211970-09-19USANo215 Lbs6 ft2NoNoTrade2025-10-10NoNo32026-03-16FalseFalsePro & Farm235,000$0$0$No235,000$235,000$-------235,000$235,000$-------NoNo-------Link
Darren McCartyBinghamton Whalers (HAR)RW201972-04-01CANYes215 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm62,000$0$0$No62,000$62,000$-------62,000$62,000$-------NoNo-------Link
Glen FeatherstoneBinghamton Whalers (HAR)D241968-06-29CANYes215 Lbs6 ft4NoNoN/ANoNo32026-03-16FalseFalsePro & Farm400,000$0$0$No400,000$400,000$-------400,000$400,000$-------NoNo-------Link
Ian MoranBinghamton Whalers (HAR)D191972-08-24USAYes206 Lbs6 ft0NoNoAssign ManuallyNoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Link
Igor KorolevBinghamton Whalers (HAR)C/LW/RW211970-09-06RUSYes198 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm85,000$0$0$No85,000$85,000$-------85,000$85,000$-------NoNo-------Link
Jason MarshallBinghamton Whalers (HAR)D211971-02-22CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-15FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Link
Jeff DanielsBinghamton Whalers (HAR)C/LW/RW241968-06-24CANYes200 Lbs6 ft1NoNoN/ANoNo32026-03-16FalseFalsePro & Farm350,000$0$0$No350,000$350,000$-------350,000$350,000$-------NoNo-------Link
Jeff ShantzBinghamton Whalers (HAR)C/LW181973-10-10CANYes184 Lbs6 ft0NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm70,000$0$0$No70,000$70,000$-------70,000$70,000$-------NoNo-------Link
Joel BouchardBinghamton Whalers (HAR)D181974-01-23CANYes209 Lbs6 ft1NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm61,000$0$0$No61,000$61,000$-------61,000$61,000$-------NoNo-------Link
Kay WhitmoreBinghamton Whalers (HAR)G251967-04-10CANNo175 Lbs5 ft11NoNoN/ANoNo22026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$--------100,000$--------No--------Link
Kevin DahlBinghamton Whalers (HAR)D241968-06-29CANYes190 Lbs5 ft11NoNoAssign ManuallyNoNo22025-08-18FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------Link
Marcus RagnarssonBinghamton Whalers (HAR)D201971-08-13SWEYes209 Lbs6 ft0NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm66,000$0$0$No66,000$66,000$-------66,000$66,000$-------NoNo-------Link
Michael PecaBinghamton Whalers (HAR)C181974-05-26CANYes181 Lbs5 ft11NoNoTrade2026-03-10NoNo32026-03-04FalseFalsePro & Farm85,000$0$0$No85,000$85,000$-------85,000$85,000$-------NoNo-------Link
Mike MillarBinghamton Whalers (HAR)RW271965-04-28CANNo170 Lbs5 ft10NoNoN/ANoNo32026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$100,000$-------100,000$100,000$-------NoNo-------Link
Peter SkudraBinghamton Whalers (HAR)G191973-04-24LATYes183 Lbs6 ft1NoNoTrade2026-03-10NoNo22025-07-11FalseFalsePro & Farm50,000$0$0$No50,000$--------50,000$--------No--------Link
Randy GilhenBinghamton Whalers (HAR)C/LW/RW291963-06-13GERNo190 Lbs6 ft0NoNoN/ANoYes22025-01-07FalseFalsePro & Farm355,000$0$0$No355,000$--------355,000$--------No--------Link
Shane ChurlaBinghamton Whalers (HAR)RW271965-06-24CANNo200 Lbs6 ft1NoNoN/ANoNo32026-03-15FalseFalsePro & Farm100,000$0$0$No100,000$100,000$-------100,000$100,000$-------NoNo-------Link
Stephane MorinBinghamton Whalers (HAR)C/LW231969-03-27CANYes175 Lbs6 ft1NoNoAssign ManuallyNoNo22026-03-15FalseFalsePro & Farm200,000$0$0$No200,000$--------200,000$--------No--------Link
Steve PassmoreBinghamton Whalers (HAR)G191973-01-29CANYes170 Lbs5 ft9NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm45,000$0$0$No45,000$45,000$-------45,000$45,000$-------NoNo-------Link
Steve StaiosBinghamton Whalers (HAR)D181973-07-28CANYes200 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-11FalseFalsePro & Farm62,500$0$0$No62,500$--------62,500$--------No--------Link
Tie DomiBinghamton Whalers (HAR)LW/RW231969-06-29CANYes207 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-18FalseFalsePro & Farm375,000$0$0$No---------------------------Link
Turner StevensonBinghamton Whalers (HAR)RW201972-05-18CANYes220 Lbs6 ft3NoNoAssign ManuallyNoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2522.24196 Lbs6 ft02.44166,260$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tie DomiMichael PecaIgor Korolev42311
2Stephane MorinJeff ShantzTurner Stevenson38221
3Jeff DanielsDan BylsmaDarren McCarty15221
4Randy GilhenChris KontosShane Churla5320
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus RagnarssonSteve Staios45230
2Glen FeatherstoneJoel Bouchard40230
3Ian MoranJason Marshall10230
4Brad WerenkaKevin Dahl5140
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tie DomiMichael PecaDarren McCarty60302
2Igor KorolevJeff ShantzTurner Stevenson40203
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus RagnarssonSteve Staios70113
2Glen FeatherstoneJoel Bouchard30113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael PecaTurner Stevenson60140
2Jeff ShantzJeff Daniels40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus RagnarssonSteve Staios60140
2Joel BouchardGlen Featherstone40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Peca60050Marcus RagnarssonSteve Staios60050
2Jeff Shantz40050Joel BouchardGlen Featherstone40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael PecaDarren McCarty60014
2Jeff ShantzIgor Korolev40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus RagnarssonSteve Staios60122
2Joel BouchardGlen Featherstone40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Igor KorolevMichael PecaDarren McCartyMarcus RagnarssonSteve Staios
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jeff ShantzMichael PecaTurner StevensonMarcus RagnarssonSteve Staios
Extra Forwards
Normal PowerPlayPenalty Kill
Jeff Daniels, Dan Bylsma, Stephane MorinJeff Daniels, Dan BylsmaChris Kontos
Extra Defensemen
Normal PowerPlayPenalty Kill
Jason Marshall, Ian Moran, Kevin DahlJason MarshallIan Moran, Jason Marshall
Penalty Shots
Darren McCarty, Igor Korolev, Michael Peca, Jeff Shantz, Tie Domi
Goalie
#1 : Peter Skudra, #2 : Steve Passmore
Custom OT Lines Forwards
Michael Peca, Tie Domi, Jeff Shantz, Darren McCarty, Igor Korolev, Dan Bylsma, Jeff Daniels, Turner Stevenson, Stephane Morin, Chris Kontos
Custom OT Lines Defensemen
Marcus Ragnarsson, Steve Staios, Joel Bouchard, Glen Featherstone, Jason Marshall


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
1Baltimore Skipjacks1010000046-21010000046-20000000000000.000481200122218130143144149436716263133.33%8362.50%026252250.19%32364150.39%14029048.28%379251427129218105
2Fredericton Express11000000624000000000001100000062421.0006101600122218126143144149430614224250.00%6183.33%026252250.19%32364150.39%14029048.28%379251427129218105
3Hartford Wolf Pack1010000056-1000000000001010000056-100.000591400122218125143144149427418254125.00%8537.50%026252250.19%32364150.39%14029048.28%379251427129218105
4Maine Mariners11000000431000000000001100000043121.00047110012221812714314414944291622300.00%8187.50%026252250.19%32364150.39%14029048.28%379251427129218105
5Milwaukee Admirals1010000047-3000000000001010000047-300.0004711001222181241431441494381214283266.67%7357.14%026252250.19%32364150.39%14029048.28%379251427129218105
6Prince Edward Island Senators30300000211-92020000029-71010000002-200.000235101222181651431441494112295167400.00%20670.00%126252250.19%32364150.39%14029048.28%379251427129218105
7Providence Bruins20200000612-61010000024-21010000048-400.00061218101222181531431441494692933388225.00%14657.14%026252250.19%32364150.39%14029048.28%379251427129218105
8Rochester Americans20200000410-61010000035-21010000015-400.0004812001222181451431441494702224371218.33%12375.00%026252250.19%32364150.39%14029048.28%379251427129218105
9Sherbrooke Canadiens4310000015872200000010372110000055060.750152540001222181110143144149410528549216425.00%24387.50%126252250.19%32364150.39%14029048.28%379251427129218105
10Springfield Indians1000000123-11000000123-10000000000010.5002460012221813214314414943218630300.00%30100.00%026252250.19%32364150.39%14029048.28%379251427129218105
Total17511000015268-16825000012330-7936000002938-9110.32452931452012221814371431441494561164246387601321.67%1103171.82%226252250.19%32364150.39%14029048.28%379251427129218105
_Since Last GM Reset17511000015268-16825000012330-7936000002938-9110.32452931452012221814371431441494561164246387601321.67%1103171.82%226252250.19%32364150.39%14029048.28%379251427129218105
_Vs Conference16510000014861-13825000012330-7835000002531-6110.34448861342012221814131431441494523152232359571119.30%1032872.82%226252250.19%32364150.39%14029048.28%379251427129218105
_Vs Division1248000003343-10624000001721-4624000001622-680.333335891201222181299143144149438611417625644920.45%761975.00%226252250.19%32364150.39%14029048.28%379251427129218105

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1711L1529314543756116424638720
All Games
GPWLOTWOTL SOWSOLGFGA
1751100015268
Home Games
GPWLOTWOTL SOWSOLGFGA
82500012330
Visitor Games
GPWLOTWOTL SOWSOLGFGA
93600002938
Last 10 Games
WLOTWOTL SOWSOL
270001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
601321.67%1103171.82%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
14314414941222181
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
26252250.19%32364150.39%14029048.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
379251427129218105


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
13Rochester Americans5Binghamton Whalers3LBoxScore
323Binghamton Whalers6Fredericton Express2WBoxScore
431Binghamton Whalers4Providence Bruins8LBoxScore
540Providence Bruins4Binghamton Whalers2LBoxScore
651Binghamton Whalers0Prince Edward Island Senators2LBoxScore
757Binghamton Whalers3Sherbrooke Canadiens2WBoxScore
871Sherbrooke Canadiens2Binghamton Whalers5WBoxScore
1086Prince Edward Island Senators5Binghamton Whalers0LBoxScore
12104Prince Edward Island Senators4Binghamton Whalers2LBoxScore
14118Binghamton Whalers1Rochester Americans5LBoxScore
15128Baltimore Skipjacks6Binghamton Whalers4LBoxScore
17145Sherbrooke Canadiens1Binghamton Whalers5WBoxScore
18150Binghamton Whalers5Hartford Wolf Pack6LBoxScore
19162Binghamton Whalers4Milwaukee Admirals7LBoxScore
20175Springfield Indians3Binghamton Whalers2LXXBoxScore
21181Binghamton Whalers4Maine Mariners3WBoxScore
23192Binghamton Whalers2Sherbrooke Canadiens3LBoxScore
24204Binghamton Whalers-Atlanta Knights-
25213Hartford Wolf Pack-Binghamton Whalers-
27229Milwaukee Admirals-Binghamton Whalers-
28241Binghamton Whalers-Sherbrooke Canadiens-
30251Rochester Americans-Binghamton Whalers-
32266Binghamton Whalers-Nova Scotia Oilers-
33279Binghamton Whalers-Adirondack Red Wings-
34286Providence Bruins-Binghamton Whalers-
36300Fort Wayne Komets-Binghamton Whalers-
37316Binghamton Whalers-Fredericton Express-
39325Kansas City Blades-Binghamton Whalers-
40332Binghamton Whalers-Fort Wayne Komets-
42349Binghamton Whalers-Peoria Rivermen-
43358Moncton Golden Flames-Binghamton Whalers-
45373New Haven Nighthawks-Binghamton Whalers-
47388Binghamton Whalers-Kansas City Blades-
48394Binghamton Whalers-Providence Bruins-
49404Maine Mariners-Binghamton Whalers-
50416Binghamton Whalers-Indianapolis Checkers-
52429Fredericton Express-Binghamton Whalers-
53440Binghamton Whalers-Manitoba Moose-
55454St. Catharines Saints-Binghamton Whalers-
57468Binghamton Whalers-Providence Bruins-
58479Kansas City Blades-Binghamton Whalers-
60494Sherbrooke Canadiens-Binghamton Whalers-
62509Binghamton Whalers-Prince Edward Island Senators-
63519Fort Wayne Komets-Binghamton Whalers-
65531Binghamton Whalers-Milwaukee Admirals-
66542Atlanta Knights-Binghamton Whalers-
67550Binghamton Whalers-Springfield Indians-
68565Springfield Indians-Binghamton Whalers-
69574Binghamton Whalers-Springfield Indians-
71589Prince Edward Island Senators-Binghamton Whalers-
72601Binghamton Whalers-Moncton Golden Flames-
73612Binghamton Whalers-Hartford Wolf Pack-
74621Binghamton Whalers-Rochester Americans-
75624Hartford Wolf Pack-Binghamton Whalers-
77644Peoria Rivermen-Binghamton Whalers-
79661Binghamton Whalers-Fredericton Express-
80667Manitoba Moose-Binghamton Whalers-
81686Binghamton Whalers-Rochester Americans-
82692Baltimore Skipjacks-Binghamton Whalers-
83701Binghamton Whalers-Prince Edward Island Senators-
85717Hamilton Canucks-Binghamton Whalers-
87731Binghamton Whalers-Moncton Golden Flames-
88741Fredericton Express-Binghamton Whalers-
89750Binghamton Whalers-New Haven Nighthawks-
91765New Haven Nighthawks-Binghamton Whalers-
92781Adirondack Red Wings-Binghamton Whalers-
94793Binghamton Whalers-Baltimore Skipjacks-
95803Binghamton Whalers-Hamilton Canucks-
96811Maine Mariners-Binghamton Whalers-
98825Binghamton Whalers-Baltimore Skipjacks-
99830Binghamton Whalers-Philadelphia Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
101839Providence Bruins-Binghamton Whalers-
103856Binghamton Whalers-Philadelphia Phantoms-
104862Binghamton Whalers-Maine Mariners-
105868Indianapolis Checkers-Binghamton Whalers-
107887Fredericton Express-Binghamton Whalers-
110909Binghamton Whalers-St. Catharines Saints-
111914Philadelphia Phantoms-Binghamton Whalers-
114935Rochester Americans-Binghamton Whalers-
116950Philadelphia Phantoms-Binghamton Whalers-
120970Nova Scotia Oilers-Binghamton Whalers-
121981Binghamton Whalers-Fort Wayne Komets-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
33 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
77,717$ 415,650$ 415,650$ 25,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 77,717$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 100 3,379$ 337,900$




Binghamton Whalers 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
1Tony Currie3941642213855370187711123213.31%74706517.9354911453406172023450.90%11.09514
2Ted Donato404134233367331503721030106112.63%137885421.92508513529838113721751.73%10.83724
3Tim Tookey57398189287-461603378149979.83%83670711.7122588014500038551.54%00.8600
4Paul Fenton241901532435112435058073212.30%74489520.312766931961231819349.56%10.9948
5Sylvain Cote2826115721831388629944813.62%360664223.5533528527802221080%10.6601

Binghamton Whalers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Arturs Irbe1838164190.8803.59946018356647030600.72948
2Chris Terreri139735270.8853.35775463433376701320.81811
3Stephane Fiset134463970.8863.4561168335230880520.57919
4Rick Knickle91322940.8823.4241892123920330510.6673
5Guy Hebert66292780.8863.2137356120017540110.8577

Binghamton Whalers 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
Regular Season
1985824628032213342637141221302211168130384124150101016613333105334599933021269910472675916841907222241652845154444411024.77%3526780.97%21531293252.22%1308269248.59%720140651.21%1999137918916191054537
19868232350861030728720411614064101651402541162102200142147-58830755786431112115719252081084883529250273493716373898521.85%4169277.88%41455282651.49%1447290149.88%715139851.14%1941132019446281064527
198782333604324297298-141161902202147149-24117170212215014918529753483112109100829248079583581951242871784615163808622.63%3808777.11%51419286049.62%1445281251.39%765142453.72%1992135919116261062531
19888232380541230529213412114022021761482841112403210129144-158230554785263101911077241777477284840255672892415913719224.80%3959176.96%81370273750.05%1419288849.13%714136552.31%1909130219966221049515
198982303207733289302-1341161305331152150241141902402137152-15902895118001110698751323008027097594824777201059175537510628.27%46510776.99%31323268549.27%1446291349.64%728139552.19%1918129219976291060520
199082303705532292316-2441121905221142158-1641181800311150158-883292522814011089680112338748764797472585726114217723749525.40%50412475.40%61398273951.04%1561301251.83%717139251.51%1928129719786291055519
199182293006566275268741131803232144147-34116120333413112110932754897643297769017244283877578091229371498515583747620.32%4399478.59%41412278750.66%1384282548.99%688130652.68%1964133319816341061523
199217511000015268-16825000012330-7936000002938-91152931452012221814371431441494561164246387601321.67%1103171.82%226252250.19%32364150.39%14029048.28%379251427129218105
Total Regular Season59123724703832181921512094572951181150251710101117105265296119132013158910341042-863721513852600316127716976277417609582656885894332176435155698411760276766323.96%306169377.36%34101702008850.63%103332068449.96%5187997651.99%14035953714127452176263779
Playoff
1985404000001218-62020000058-320200000710-30122234008130127424441014638447219315.79%21576.19%17214649.32%7115147.02%306546.15%956495304924
19861688000005457-37430000029263945000002531-61654991531020151814241481241331948514018230560813.33%751678.67%024152146.26%25954847.26%13026050.00%377251399122208104
198716880000063576725000002632-69630000037251216631171802027211505181731671771531151154310701622.86%631182.54%026057545.22%26459344.52%13429445.58%35623940112120499
198919109000006470-696300000292541046000003545-10206411618010301912353518115616731607202251405801721.25%1161983.62%131565048.46%34770049.57%16634348.40%450299484151257126
19911899000006567-2835000002430-610640000041374186512118610222220152519015916610562169239327952223.16%932375.27%131863350.24%34866652.25%14831946.39%437298430135235117
Total Playoff73353800000258269-1133151800000113121-840202000000145148-3702584757335010778685212973465068461233170087014193246620.37%3687479.89%31206252547.76%1289265848.50%608128147.46%171811531811562956472

Binghamton Whalers 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
1Ted Donato5324295312266513714916.11%18122623.1459142801185151.89%00.8600
2Tony Currie5419264542227913613.97%1193517.3346103600002048.84%00.9600
3Tim Tookey73201838-19122912513514.81%997013.3077142710153247.79%00.7800
4Paul Fenton36191635410549913813.77%981322.613473510163043.95%10.8600
5Sylvain Cote366222841416274812.50%5585723.825611320001100%00.6500

Binghamton Whalers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Arturs Irbe2310920.8693.841172007557302000
2Stephane Fiset179420.9003.12982005151201100
3Mike Richter137510.8923.57739004440700100
4Chris Terreri186820.8783.80948006049101100
5Rick Knickle113400.9043.02497402526100100