Devils

GP: 23 | W: 14 | L: 9 | OTL: 0 | P: 28
GF: 90 | GA: 71 | PP%: 72.55% | PK%: 46.15%
GM : Derek Loftus | Morale : 50 | Team Overall : 56
Next Games vs Sound Tigers
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
1Sean Malone (R)X100.007671876671677154684756635344446050560
2Alex Dostie (R)X100.007162916662636750634946594444445550530
3Mark StreitX100.006242878068535672256046613780825350620
4Joey LaLeggiaX100.007164866864778161506058625544446350610
5Julius BergmanX100.007372746272737951253751604844445650570
Scratches
1Brian HartXX100.007675786375515249504647614544445450520
2Zac LarrazaX96.978072996572495146503848634644445350520
3Paul LadueX100.007543857969645768254865582547476550590
TEAM AVERAGE99.62736386696962645645485261444949575057
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
Scratches
1John Muse100.00614961656564606666653044446250590
2Spencer Martin100.00537290804855505850503044445450560
3Stephon Williams (R)100.00484759754848505449493044444950510
4Matt Tomkins (R)100.00465063794345505346473044444850500
TEAM AVERAGE100.0052556875515353585353304444535054
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 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
1Sean MaloneDevils (NJ )C233443776101026592166712515.74%1353323.18815231935000001157.04%5615416042.8900110734
2Julius BergmanDevils (NJ )D2396574173115273515661785.77%5564327.98714211330000331210.00%03523002.3000111332
3Zac LarrazaDevils (NJ )LW21242650-15521241574710915.29%2044521.234610817000000038.89%184311132.2400010226
4Paul LadueDevils (NJ )D2134-50014191075.26%55226.021126400013000.00%031001.5400000000
5Max GortzDevilsRW1101-2001182312.50%02121.4800002000000050.00%400000.9300000000
6Anton BlidhDevilsLW/RW1000-21010104640.00%01515.1200012000000057.14%710000.0000002000
Team Total or Average71691372061356407712356019332612.32%93171024.1020365647930004353256.44%59013651172.410023312812
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
Team Total or Average0.0000.0000.000


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers CONT 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
Alex DostieDevils (NJ )C211997-04-13Yes165 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link
Brian HartDevils (NJ )LW/RW241993-11-25No203 Lbs6 ft2NoNoNo1RFAPro & Farm800,000$Link
Joey LaLeggiaDevils (NJ )D261992-06-24No182 Lbs5 ft9NoNoNo1RFAPro & Farm500,000$Link
John MuseDevils (NJ )G301988-08-01No185 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$Link
Julius BergmanDevils (NJ )D231995-11-02No205 Lbs6 ft1NoNoNo1RFAPro & Farm800,000$Link
Mark StreitDevils (NJ )D401978-07-14 7:21:32 AMNo191 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$Link
Matt TomkinsDevils (NJ )D241994-06-19Yes194 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Paul LadueDevils (NJ )D261992-09-06No201 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$500,000$Link
Sean MaloneDevils (NJ )C231995-04-30Yes190 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$Link
Spencer MartinDevils (NJ )C/LW231995-06-07No210 Lbs6 ft3NoNoNo1RFAPro & Farm750,000$Link
Stephon WilliamsDevils (NJ )G251993-04-28Yes196 Lbs6 ft3NoNoNo1RFAPro & Farm600,000$Link
Zac LarrazaDevils (NJ )LW251993-02-25No194 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1225.83193 Lbs6 ft11.42643,750$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sean Malone40122
230122
320122
4Sean Malone10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Julius Bergman40122
230122
3Julius Bergman20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sean Malone60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Julius Bergman60122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Sean Malone40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Julius Bergman60122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Julius Bergman60122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Sean Malone40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Julius Bergman60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sean MaloneJulius Bergman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sean MaloneJulius Bergman
Extra Forwards
Normal PowerPlayPenalty Kill
, , Sean Malone, Sean Malone
Extra Defensemen
Normal PowerPlayPenalty Kill
, Julius Bergman, Julius Bergman,
Penalty Shots
, , Sean Malone, ,
Goalie
#1 : , #2 :


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
1Bruins11000000532000000000001100000053221.00058130033676824628434033723114216200.00%10100.00%018541045.12%14036138.78%22455140.65%441287561230382150
2Checkers10001000761000000000001000100076121.000712190033676823528434033723613101433100.00%50100.00%018541045.12%14036138.78%22455140.65%441287561230382150
3Condors1100000011650000000000011000000116521.000111930003367682482843403372321118153266.67%4175.00%018541045.12%14036138.78%22455140.65%441287561230382150
4Griffins1010000079-2000000000001010000079-200.000711180033676824528434033723710612000.00%3233.33%018541045.12%14036138.78%22455140.65%441287561230382150
5Marlies211000001516-11100000011921010000047-320.500152641003367682812843403372903417333133.33%6350.00%018541045.12%14036138.78%22455140.65%441287561230382150
6Penguins302010001720-300000000000302010001720-320.333173047003367682112284340337211640243710990.00%12833.33%018541045.12%14036138.78%22455140.65%441287561230382150
7Phantoms3210000027270110000001192211000001618-240.66727527900336768213228434033721134326378787.50%8712.50%018541045.12%14036138.78%22455140.65%441287561230382150
8Pirates3210000026141222000000228141010000046-240.66726477300336768213528434033728734273477100.00%11554.55%018541045.12%14036138.78%22455140.65%441287561230382150
9Reign11000000954000000000001100000095421.0009162500336768237284340337240971611100.00%10100.00%018541045.12%14036138.78%22455140.65%441287561230382150
Since Last GM Reset23129020001701511911830000090711912460200080800280.6091703044740033676829632843403372868327175292513772.55%653546.15%018541045.12%14036138.78%22455140.65%441287561230382150
11Sound Tigers303000001121-10303000001121-100000000000000.00011203100336768211928434033721485020406116.67%5420.00%018541045.12%14036138.78%22455140.65%441287561230382150
12Stars1100000010821100000010820000000000021.000101828003367682392843403372412241822100.00%20100.00%018541045.12%14036138.78%22455140.65%441287561230382150
Total23129020001701511911830000090711912460200080800280.6091703044740033676829632843403372868327175292513772.55%653546.15%018541045.12%14036138.78%22455140.65%441287561230382150
Vs Conference188802000126118896300000735815925020005360-7200.5561262283540033676827542843403372687260134223423071.43%523042.31%018541045.12%14036138.78%22455140.65%441287561230382150
Vs Division1246010008085-5633000004041-1613010004044-4100.41780147227003367682492284340337247917888140302273.33%342235.29%018541045.12%14036138.78%22455140.65%441287561230382150
16Wolf Pack220000001811722000000181170000000000041.00018335100336768294284340337266328123266.67%4325.00%018541045.12%14036138.78%22455140.65%441287561230382150
17Wolves11000000752110000007520000000000021.000712190033676824028434033723115683266.67%3233.33%018541045.12%14036138.78%22455140.65%441287561230382150

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2328W117030447496386832717529200
All Games
GPWLOTWOTL SOWSOLGFGA
231292000170151
Home Games
GPWLOTWOTL SOWSOLGFGA
118300009071
Visitor Games
GPWLOTWOTL SOWSOLGFGA
124620008080
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
513772.55%653546.15%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
28434033723367682
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18541045.12%14036138.78%22455140.65%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
441287561230382150


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2018-10-0312Sound Tigers8Devils4LBoxScore
4 - 2018-10-0528Devils4Penguins7LBoxScore
7 - 2018-10-0847Sound Tigers5Devils3LBoxScore
9 - 2018-10-1062Devils7Penguins8LBoxScore
10 - 2018-10-1174Devils4Marlies7LBoxScore
12 - 2018-10-1389Wolf Pack6Devils9WBoxScore
14 - 2018-10-15106Devils4Pirates6LBoxScore
16 - 2018-10-17116Phantoms9Devils11WBoxScore
17 - 2018-10-18120Devils6Penguins5WXBoxScore
20 - 2018-10-21149Wolf Pack5Devils9WBoxScore
23 - 2018-10-24168Devils7Phantoms11LBoxScore
24 - 2018-10-25175Devils7Checkers6WXBoxScore
25 - 2018-10-26184Stars8Devils10WBoxScore
29 - 2018-10-30210Pirates4Devils11WBoxScore
31 - 2018-11-01226Devils5Bruins3WBoxScore
33 - 2018-11-03237Devils9Phantoms7WBoxScore
34 - 2018-11-04245Marlies9Devils11WBoxScore
37 - 2018-11-07264Pirates4Devils11WBoxScore
39 - 2018-11-09282Devils11Condors6WBoxScore
41 - 2018-11-11295Devils7Griffins9LBoxScore
43 - 2018-11-13305Devils9Reign5WBoxScore
44 - 2018-11-14310Sound Tigers8Devils4LBoxScore
48 - 2018-11-18333Wolves5Devils7WBoxScore
52 - 2018-11-22361Checkers-Devils-
54 - 2018-11-24381Marlies-Devils-
56 - 2018-11-26394Devils-Sound Tigers-
58 - 2018-11-28407Devils-Senators-
60 - 2018-11-30420Americans-Devils-
62 - 2018-12-02433Devils-Admirals-
64 - 2018-12-04449Devils-Crunch-
65 - 2018-12-05459Wild-Devils-
68 - 2018-12-08479Devils-Sound Tigers-
69 - 2018-12-09488Phantoms-Devils-
72 - 2018-12-12510Devils-Crunch-
73 - 2018-12-13521Wolf Pack-Devils-
77 - 2018-12-17543Bears-Devils-
81 - 2018-12-21567Devils-IceCaps-
83 - 2018-12-23577Heat-Devils-
86 - 2018-12-26596Devils-Wolf Pack-
87 - 2018-12-27608Checkers-Devils-
90 - 2018-12-30628Devils-IceCaps-
92 - 2019-01-01640Devils-Checkers-
93 - 2019-01-02648IceHogs-Devils-
95 - 2019-01-04668Comets-Devils-
99 - 2019-01-08690Penguins-Devils-
101 - 2019-01-10704Devils-Falcons-
104 - 2019-01-13725Penguins-Devils-
106 - 2019-01-15737Devils-Bears-
109 - 2019-01-18756Monsters-Devils-
111 - 2019-01-20775Devils-Americans-
113 - 2019-01-22781Devils-Pirates-
114 - 2019-01-23794Wolves-Devils-
117 - 2019-01-26818IceCaps-Devils-
120 - 2019-01-29838Devils-Gulls-
122 - 2019-01-31846Devils-Wolf Pack-
123 - 2019-02-01856Stars-Devils-
125 - 2019-02-03868Devils-Americans-
128 - 2019-02-06887Phantoms-Devils-
130 - 2019-02-08905Devils-Moose-
132 - 2019-02-10918Sound Tigers-Devils-
135 - 2019-02-13942Senators-Devils-
138 - 2019-02-16961Devils-Wolves-
140 - 2019-02-18978Moose-Devils-
141 - 2019-02-19989Devils-Bears-
143 - 2019-02-211004Crunch-Devils-
Trade Deadline --- Trades can’t be done after this day is simulated!
147 - 2019-02-251030Devils-Moose-
148 - 2019-02-261039Bruins-Devils-
151 - 2019-03-011061Devils-Bruins-
152 - 2019-03-021070Senators-Devils-
153 - 2019-03-031075Devils-Penguins-
156 - 2019-03-061095Barracuda-Devils-
157 - 2019-03-071104Devils-Penguins-
162 - 2019-03-121132Bruins-Devils-
163 - 2019-03-131136Devils-Marlies-
165 - 2019-03-151152Rampage-Devils-
166 - 2019-03-161159Devils-Marlies-



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
27 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
772,500$ 377,500$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
221,088$ 0$ 217,753$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 122 4,518$ 551,196$




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
201823129020001701511911830000090711912460200080800281703044740033676829632843403372868327175292513772.55%653546.15%018541045.12%14036138.78%22455140.65%441287561230382150
Total Regular Season23129020001701511911830000090711912460200080800281703044740033676829632843403372868327175292513772.55%653546.15%018541045.12%14036138.78%22455140.65%441287561230382150