Devils de Binghamton

GP: 20 | W: 4 | L: 16 | OTL: 0 | P: 8
GF: 102 | GA: 176 | PP%: 30.23% | PK%: 60.40%
GM : Danyk Perras | Morale : 40 | Team Overall : 58
Next Games #347 vs Penguins de Wilkes-Barre/Scranton
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
1Ben StreetX100.007343966870627958446066752559596840630
2Joey Anderson (R)X100.007743937069646063505963792547476740620
3Michael McLeod (R)X100.008576827972637660786255622545456340610
4John HaydenXX100.008380857383548060345457652556566340600
5Brett Seney (R)XX100.007354827757575857586359642549496340590
6Nathan BastianXX100.007882696482778355504561645844446240590
7Brandon GignacX100.007063876663616261765957645455556140590
8Marian Studenic (R)X100.007162926262747957505158615544446140570
9Blake SpeersX100.007267838267657050634646624455555640570
10Egor Sharangovich (R)X100.007973926273697452654653645044445940560
11Brandon Baddock (R)XX100.006980426880707648504545584344445240540
12Matt TennysonX100.007576747076697454254942654057575640610
13Colton WhiteX100.007469876669758252254642644054545640600
14Dakota MermisX100.007067786767758152254741613953535440590
15Joshua Jacobs (R)X100.007775815875717847253741613944445340570
16Colby Sissons (R)X100.007470836570677249254241603944445340570
17Brian StraitX100.007675776575535742252839623754544940550
Scratches
1Nikita Popugaev (R)X94.498783956683535354504657685444446140570
TEAM AVERAGE99.67766982687266725445495164405050594059
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
1Keith Kinkaid99.00577169795756505960578260605940590
2Evan Cormier (R)98.00556885815259505854533044445640570
Scratches
TEAM AVERAGE98.5056707780555850595755565252584058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mark Dennehy30303030303030USA501500,000$


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
1John HaydenDevils de Binghamton (NJD)C/RW20102232115620221148193720.83%51698.4510111000001049.22%1933011013.7900121101
2Brett SeneyDevils de Binghamton (NJD)C/LW1523932-10100311287406726.44%1627618.4386142260000021025.00%87514032.3100000211
3Dakota MermisDevils de Binghamton (NJD)D2052227-1112029258732465.75%3037918.9838112646000233000.00%01726001.4200000002
4Nathan BastianDevils de Binghamton (NJD)C/RW2019726817911519648143139.58%51527.6400000000000166.67%93612023.4000869110
5Matt TennysonDevils de Binghamton (NJD)D1522022-18553534337935442.53%5340326.901892859000262100.00%02744001.0900124010
6Brandon BaddockDevils de Binghamton (NJD)C/LW2061016-20230140421259265410.17%1625512.772571437000000053.85%135116001.25005914000
7Colby SissonsDevils de Binghamton (NJD)D2031316-8443026234125367.32%2835117.561671343000228000.00%01522000.9100204000
8Oliver BjorkstrandDevils du New JerseyRW413114500222191861.90%310025.114046151011190036.67%30141032.7900000100
9Colton WhiteDevils de Binghamton (NJD)D11099-198028173314160.00%3630627.90033448000349000.00%0924000.5900000000
10Joshua JacobsDevils de Binghamton (NJD)D20189-10211525135425321.85%1724512.260111500003000.00%01016000.7300111000
11Brian StraitDevils de Binghamton (NJD)D20189-910025204016312.50%2423411.7410111000113100.00%0016000.7700000000
12Joey AndersonDevils de Binghamton (NJD)RW7628-104061536132216.67%612618.08426823000150050.00%12242011.2600000000
13Ben StreetDevils de Binghamton (NJD)C426860037133615.38%69824.630111150112190042.86%6332001.6200000010
14Blake SpeersDevils de Binghamton (NJD)C20358-520871541820.00%41216.06011010000000037.50%24285001.3200000000
15Nikita PopugaevDevils de Binghamton (NJD)RW18505-3202010920102525.00%7975.4200000000000040.00%5211001.0200310000
16Michael McLeodDevils de Binghamton (NJD)C5123-820123171185.88%29118.36112517000060052.27%88151000.6500000000
17Brandon GignacDevils de Binghamton (NJD)C512310023841012.50%2408.1000000000000069.57%2380001.4800000000
18Marian StudenicDevils de Binghamton (NJD)RW20101-1001270314.29%0281.42000030000000100.00%182000.7000000000
19Egor SharangovichDevils de Binghamton (NJD)C20000-100101000.00%0160.8400000000080060.00%510000.0000000000
Team Total or Average284102146248-10265337532622071430050414.29%260349612.31264268130389112142554148.73%4743922150101.4200212133544
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
1Keith KinkaidDevils de Binghamton (NJD)183900.7868.1079300107499286300.0000180010
2Evan CormierDevils de Binghamton (NJD)151700.7429.903940065252136100.0000220000
Team Total or Average3341600.7718.69118800172751422400.00002020010


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 Cap Salary Cap Remaining Exclude from Salary Cap Link
Ben StreetDevils de Binghamton (NJD)C321987-02-12No199 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$0$0$NoLink
Blake SpeersDevils de Binghamton (NJD)C221997-01-02No185 Lbs5 ft11NoNoNo2ELCPro & Farm728,333$0$0$NoLink
Brandon BaddockDevils de Binghamton (NJD)C/LW241995-03-29Yes215 Lbs6 ft3NoNoNo1RFAPro & Farm673,333$0$0$NoLink
Brandon GignacDevils de Binghamton (NJD)C221997-11-07No173 Lbs5 ft11NoNoNo3ELCPro & Farm714,166$0$0$NoLink
Brett SeneyDevils de Binghamton (NJD)C/LW231996-02-28Yes156 Lbs5 ft9NoNoNo2RFAPro & Farm757,500$0$0$NoLink
Brian StraitDevils de Binghamton (NJD)D311988-01-03No206 Lbs6 ft1NoNoNo2UFAPro & Farm675,000$0$0$NoLink
Colby SissonsDevils de Binghamton (NJD)D211998-01-15Yes185 Lbs6 ft2NoNoNo3ELCPro & Farm696,666$0$0$NoLink
Colton WhiteDevils de Binghamton (NJD)D221997-05-03No185 Lbs6 ft1NoNoNo2ELCPro & Farm728,333$0$0$NoLink
Dakota MermisDevils de Binghamton (NJD)D251994-01-05No188 Lbs5 ft11NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Egor SharangovichDevils de Binghamton (NJD)C211998-06-06Yes196 Lbs6 ft2NoNoNo3ELCPro & Farm775,833$0$0$NoLink
Evan CormierDevils de Binghamton (NJD)G221997-11-05Yes202 Lbs6 ft3NoNoNo3ELCPro & Farm718,333$0$0$NoLink
Joey AndersonDevils de Binghamton (NJD)RW211998-06-19Yes190 Lbs5 ft11NoNoNo1ELCPro & Farm57,500$0$0$NoLink
John HaydenDevils de Binghamton (NJD)C/RW241995-02-14No223 Lbs6 ft3NoNoNo2RFAPro & Farm750,000$0$0$NoLink
Joshua JacobsDevils de Binghamton (NJD)D231996-02-15Yes201 Lbs6 ft2NoNoNo1RFAPro & Farm725,833$0$0$NoLink
Keith KinkaidDevils de Binghamton (NJD)G301989-07-03No195 Lbs6 ft3NoNoNo1UFAPro & Farm1,250,000$0$0$NoLink
Marian StudenicDevils de Binghamton (NJD)RW211998-10-28Yes163 Lbs6 ft1NoNoNo2ELCPro & Farm775,833$0$0$NoLink
Matt TennysonDevils de Binghamton (NJD)D291990-04-23No205 Lbs6 ft2NoNoNo1UFAPro & Farm650,000$0$0$NoLink
Michael McLeodDevils de Binghamton (NJD)C211998-02-03Yes187 Lbs6 ft2NoNoNo3ELCPro & Farm875,000$0$0$NoLink
Nathan BastianDevils de Binghamton (NJD)C/RW211997-12-06No205 Lbs6 ft4NoNoNo3ELCPro & Farm714,166$0$0$NoLink
Nikita PopugaevDevils de Binghamton (NJD)RW211998-11-19Yes217 Lbs6 ft6NoNoNo1ELCPro & Farm575,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2023.80194 Lbs6 ft11.90714,541$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Brandon Baddock30122
3John HaydenNathan Bastian20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Dakota MermisColby Sissons30122
3Joshua JacobsBrian Strait20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Brandon Baddock40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Dakota MermisColby Sissons40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Dakota MermisColby Sissons40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Dakota MermisColby Sissons40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Dakota MermisColby Sissons40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Blake Speers, Marian Studenic, Egor SharangovichBlake Speers, Marian StudenicEgor Sharangovich
Extra Defensemen
Normal PowerPlayPenalty Kill
Joshua Jacobs, Brian Strait, Dakota MermisJoshua JacobsBrian Strait, Dakota Mermis
Penalty Shots
, , , , John Hayden
Goalie
#1 : , #2 : Evan Cormier
Custom OT Lines Forwards
, , , , John Hayden, , , , Nathan Bastian, Blake Speers,
Custom OT Lines Defensemen
, , Dakota Mermis, Colby Sissons, Joshua Jacobs


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
1Americans de Rochester1010000048-4000000000001010000048-400.00046100040372412727325121313691227300.00%6266.67%016239241.33%14039935.09%16144336.34%444306496143260122
2Bruins de Providence 211000001516-11100000096310100000610-420.500152136004037241602732512131723464277228.57%12283.33%016239241.33%14039935.09%16144336.34%444306496143260122
3Checkers de Charlotte10100000210-80000000000010100000210-800.000224004037241382732512131441765184125.00%5340.00%016239241.33%14039935.09%16144336.34%444306496143260122
4Comets d'Utica20200000529-2410100000312-910100000217-1500.00059140040372417027325121318434713411218.18%13838.46%016239241.33%14039935.09%16144336.34%444306496143260122
5Condors de Bakersfield2020000079-21010000012-11010000067-100.000710170040372417727325121317235233410330.00%9366.67%016239241.33%14039935.09%16144336.34%444306496143260122
6Crunch de Syracuse10100000511-610100000511-60000000000000.0005813004037241452732512131401631183266.67%330.00%016239241.33%14039935.09%16144336.34%444306496143260122
7Heat de Stockton1100000010190000000000011000000101921.000101525004037241462732512131278132411100.00%40100.00%016239241.33%14039935.09%16144336.34%444306496143260122
8Moose du Manitoba2110000011651100000010191010000015-420.5001116270040372418427325121313916883610220.00%9188.89%116239241.33%14039935.09%16144336.34%444306496143260122
9Penguins de Wilkes-Barre/Scranton10100000613-710100000613-70000000000000.00069150040372413027325121315318555200.00%5260.00%016239241.33%14039935.09%16144336.34%444306496143260122
10Phantoms de Lehigh Valley201010001318-51000100087110100000511-620.5001321340040372418527325121316635723813538.46%11645.45%016239241.33%14039935.09%16144336.34%444306496143260122
11Roadrunners de Tucson101000001011-1101000001011-10000000000000.000102030004037241482732512131472031217457.14%8275.00%016239241.33%14039935.09%16144336.34%444306496143260122
12Rocket de Laval10100000215-130000000000010100000215-1300.00023500403724122273251213159214511200.00%5340.00%016239241.33%14039935.09%16144336.34%444306496143260122
13Senators de Belleville10100000410-610100000410-60000000000000.0004480040372412027325121314012920100.00%220.00%016239241.33%14039935.09%16144336.34%444306496143260122
14Thunderbirds de Springfield1010000028-61010000028-60000000000000.000235004037241512732512131362091197114.29%30100.00%016239241.33%14039935.09%16144336.34%444306496143260122
Total2031601000102176-741128010006492-28918000003884-4680.2001021562580040372417382732512131755308707352862630.23%1014060.40%116239241.33%14039935.09%16144336.34%444306496143260122
16Wolfpack de Hartford10100000611-510100000611-50000000000000.0006915004037241352732512131401337205360.00%6350.00%016239241.33%14039935.09%16144336.34%444306496143260122
_Since Last GM Reset2031601000102176-741128010006492-28918000003884-4680.2001021562580040372417382732512131755308707352862630.23%1014060.40%116239241.33%14039935.09%16144336.34%444306496143260122
_Vs Conference121100100059120-61715010004066-26505000001954-3540.16759861450040372414132732512131486195481203471429.79%582655.17%016239241.33%14039935.09%16144336.34%444306496143260122
_Vs Division504010002752-25302010002031-1120200000721-1420.2002741680040372411882732512131203832298124937.50%271448.15%016239241.33%14039935.09%16144336.34%444306496143260122

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
208W110215625873875530870735200
All Games
GPWLOTWOTL SOWSOLGFGA
203161000102176
Home Games
GPWLOTWOTL SOWSOLGFGA
112810006492
Visitor Games
GPWLOTWOTL SOWSOLGFGA
91800003884
Last 10 Games
WLOTWOTL SOWSOL
271000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
862630.23%1014060.40%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27325121314037241
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16239241.33%14039935.09%16144336.34%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
444306496143260122


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
3 - 2019-08-1814Moose du Manitoba1Devils de Binghamton10WBoxScore
4 - 2019-08-1920Devils de Binghamton4Americans de Rochester8LBoxScore
8 - 2019-08-2345Devils de Binghamton5Phantoms de Lehigh Valley11LBoxScore
9 - 2019-08-2452Condors de Bakersfield2Devils de Binghamton1LBoxScore
11 - 2019-08-2661Devils de Binghamton6Bruins de Providence 10LBoxScore
13 - 2019-08-2881Thunderbirds de Springfield8Devils de Binghamton2LBoxScore
16 - 2019-08-31103Wolfpack de Hartford11Devils de Binghamton6LBoxScore
18 - 2019-09-02116Comets d'Utica12Devils de Binghamton3LBoxScore
24 - 2019-09-08156Roadrunners de Tucson11Devils de Binghamton10LBoxScore
29 - 2019-09-13192Crunch de Syracuse11Devils de Binghamton5LBoxScore
31 - 2019-09-15199Phantoms de Lehigh Valley7Devils de Binghamton8WXBoxScore
32 - 2019-09-16207Devils de Binghamton2Checkers de Charlotte10LBoxScore
35 - 2019-09-19234Devils de Binghamton1Moose du Manitoba5LBoxScore
37 - 2019-09-21239Devils de Binghamton10Heat de Stockton1WBoxScore
38 - 2019-09-22250Devils de Binghamton6Condors de Bakersfield7LBoxScore
40 - 2019-09-24268Devils de Binghamton2Comets d'Utica17LBoxScore
43 - 2019-09-27282Senators de Belleville10Devils de Binghamton4LBoxScore
45 - 2019-09-29295Penguins de Wilkes-Barre/Scranton13Devils de Binghamton6LBoxScore
46 - 2019-09-30306Devils de Binghamton2Rocket de Laval15LBoxScore
49 - 2019-10-03325Bruins de Providence 6Devils de Binghamton9WBoxScore
52 - 2019-10-06347Devils de Binghamton-Penguins de Wilkes-Barre/Scranton-
53 - 2019-10-07354Griffins de Grand Rapids-Devils de Binghamton-
56 - 2019-10-10376Wild de l'Iowa-Devils de Binghamton-
58 - 2019-10-12390Devils de Binghamton-Rocket de Laval-
60 - 2019-10-14411Wolfpack de Hartford-Devils de Binghamton-
62 - 2019-10-16420Devils de Binghamton-Americans de Rochester-
63 - 2019-10-17428Wolves de Chicago-Devils de Binghamton-
66 - 2019-10-20449IceHogs de Rockford-Devils de Binghamton-
67 - 2019-10-21458Devils de Binghamton-Admirals de Milwaukee-
70 - 2019-10-24474Devils de Binghamton-Stars du Texas-
73 - 2019-10-27499Devils de Binghamton-Eagles du Colorado-
74 - 2019-10-28502Devils de Binghamton-Roadrunners de Tucson-
78 - 2019-11-01536Gulls de San Diego-Devils de Binghamton-
80 - 2019-11-03550Bears de Hershey-Devils de Binghamton-
81 - 2019-11-04555Devils de Binghamton-Monsters de Cleveland-
83 - 2019-11-06570Devils de Binghamton-IceHogs de Rockford-
87 - 2019-11-10587Marlies de Toronto-Devils de Binghamton-
89 - 2019-11-12609Devils de Binghamton-Senators de Belleville-
91 - 2019-11-14623Bruins de Providence -Devils de Binghamton-
93 - 2019-11-16633Devils de Binghamton-Sound Tigers de Bridgeport-
95 - 2019-11-18648Eagles du Colorado-Devils de Binghamton-
98 - 2019-11-21668Sound Tigers de Bridgeport-Devils de Binghamton-
100 - 2019-11-23684Devils de Binghamton-Wolfpack de Hartford-
102 - 2019-11-25702Devils de Binghamton-Bears de Hershey-
103 - 2019-11-26707Crunch de Syracuse-Devils de Binghamton-
105 - 2019-11-28723Devils de Binghamton-Marlies de Toronto-
107 - 2019-11-30739Devils de Binghamton-Bears de Hershey-
109 - 2019-12-02743Devils de Binghamton-Monsters de Cleveland-
118 - 2019-12-11771Devils de Binghamton-Senators de Belleville-
121 - 2019-12-14784Admirals de Milwaukee-Devils de Binghamton-
123 - 2019-12-16799Stars du Texas-Devils de Binghamton-
126 - 2019-12-19818Rocket de Laval-Devils de Binghamton-
128 - 2019-12-21836Devils de Binghamton-Phantoms de Lehigh Valley-
130 - 2019-12-23848Reign d'Ontario-Devils de Binghamton-
133 - 2019-12-26872Thunderbirds de Springfield-Devils de Binghamton-
135 - 2019-12-28885Griffins de Grand Rapids-Devils de Binghamton-
136 - 2019-12-29891Devils de Binghamton-Checkers de Charlotte-
138 - 2019-12-31908Monsters de Cleveland-Devils de Binghamton-
140 - 2020-01-02925Devils de Binghamton-Rampage de San Antonio-
142 - 2020-01-04935Barracuda de San José-Devils de Binghamton-
144 - 2020-01-06950Bears de Hershey-Devils de Binghamton-
147 - 2020-01-09972Devils de Binghamton-Griffins de Grand Rapids-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2020-01-11990Devils de Binghamton-Barracuda de San José-
151 - 2020-01-131002Devils de Binghamton-Reign d'Ontario-
152 - 2020-01-141011Devils de Binghamton-Gulls de San Diego-
154 - 2020-01-161027Devils de Binghamton-Wolves de Chicago-
157 - 2020-01-191046Rampage de San Antonio-Devils de Binghamton-
158 - 2020-01-201055Devils de Binghamton-Wolfpack de Hartford-
161 - 2020-01-231074Penguins de Wilkes-Barre/Scranton-Devils de Binghamton-
163 - 2020-01-251089Checkers de Charlotte-Devils de Binghamton-
165 - 2020-01-271104Devils de Binghamton-Thunderbirds de Springfield-
166 - 2020-01-281116Devils de Binghamton-Crunch de Syracuse-
168 - 2020-01-301129Devils de Binghamton-Marlies de Toronto-
170 - 2020-02-011142Heat de Stockton-Devils de Binghamton-
172 - 2020-02-031159Sound Tigers de Bridgeport-Devils de Binghamton-
174 - 2020-02-051173Monsters de Cleveland-Devils de Binghamton-
177 - 2020-02-081194Devils de Binghamton-Wild de l'Iowa-
179 - 2020-02-101212Phantoms de Lehigh Valley-Devils de Binghamton-
180 - 2020-02-111219Checkers de Charlotte-Devils de Binghamton-
182 - 2020-02-131235Devils de Binghamton-Penguins de Wilkes-Barre/Scranton-
184 - 2020-02-151247Americans de Rochester-Devils de Binghamton-
186 - 2020-02-171266Devils de Binghamton-Sound Tigers de Bridgeport-



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
30 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,429,082$ 1,429,082$ 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$ 136 7,683$ 1,044,888$




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
12031601000102176-741128010006492-28918000003884-4681021562580040372417382732512131755308707352862630.23%1014060.40%116239241.33%14039935.09%16144336.34%444306496143260122
Total Regular Season2031601000102176-741128010006492-28918000003884-4681021562580040372417382732512131755308707352862630.23%1014060.40%116239241.33%14039935.09%16144336.34%444306496143260122