Monster

GP: 59 | W: 26 | L: 30 | OTL: 3 | P: 55
GF: 262 | GA: 329 | PP%: 45.73% | PK%: 49.49%
GM : Daniel Clément | Morale : 48 | Team Overall : 72
Next Games #602 vs Destroyers
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
1Carl HagelinX100.00806789958080627250756985528582022740
2Nic DowdX100.00866893828676657371737286547173066730
3Michael RafflXX100.00856990828577697051706979527677065710
4Chandler Stephenson (R)X100.00716299848078676861676880517174065700
5Marcus Pettersson (R)X100.00816883837582917150776477506973042740
6Trevor Van Riemsdyk (R)X100.00706697827881846750696573507477065720
Scratches
TEAM AVERAGE100.0079679285817973705672688052747605472
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
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dallas Eakins54505060716499USA515605,000$


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
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 Force Waivers Contract 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 10Link
Carl HagelinMonster (BJT)LW311988-08-23 15:26:19No186 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$478,368$0$0$NoLink
Chandler StephensonMonster (BJT)C251994-04-22 07:14:19Yes203 Lbs6 ft0NoNoNo1Pro & Farm650,000$175,177$0$0$NoLink
Marcus PetterssonMonster (BJT)D231996-05-08 16:53:32Yes177 Lbs6 ft3NoNoNo1Pro & Farm925,000$249,290$0$0$No
Michael RafflMonster (BJT)LW/RW311988-12-01 15:26:19No200 Lbs6 ft0NoNoNo1Pro & Farm2,350,000$633,333$0$0$NoLink
Nic DowdMonster (BJT)C291990-05-27 03:26:19No196 Lbs6 ft2YesNoNo1Pro & Farm650,000$175,177$0$0$NoLink
Trevor Van RiemsdykMonster (BJT)D281991-07-24 09:26:19Yes188 Lbs6 ft2YesNoNo2Pro & Farm2,300,000$619,858$0$0$No2,300,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
627.83192 Lbs6 ft11.171,441,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
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
1Bolt220000001073110000005321100000054141.000102030003810011685131543753615502014325120.00%7357.14%133373545.31%37584444.43%575132443.43%113260813875751033485
2Chiefs10001000761000000000001000100076121.00071320003810011682231543753615275101333100.00%5180.00%033373545.31%37584444.43%575132443.43%113260813875751033485
3Destroyers1010000029-7000000000001010000029-700.00024600381001168133154375361542181011100.00%5260.00%033373545.31%37584444.43%575132443.43%113260813875751033485
4Distraction624000002341-18523000002032-121010000039-640.333234467003810011681483154375361522769679018844.44%261638.46%333373545.31%37584444.43%575132443.43%113260813875751033485
5Dynamos312000001320-71010000047-321100000913-420.3331324370038100116853315437536151112018388562.50%10370.00%033373545.31%37584444.43%575132443.43%113260813875751033485
6Falcons312000001315-221100000111101010000024-220.3331322350038100116837315437536151002818348450.00%9188.89%033373545.31%37584444.43%575132443.43%113260813875751033485
7Intrepides5110300025250310020001612420101000913-480.8002544690038100116811031543753615166403889171164.71%19668.42%233373545.31%37584444.43%575132443.43%113260813875751033485
8L'Euphorie31001100171072100010012661000100054150.833173047003810011687031543753615562384410770.00%4325.00%033373545.31%37584444.43%575132443.43%113260813875751033485
9Monkeys 30200100623-1710100000113-1220100100510-510.167611170038100116867315437536151544326367114.29%13838.46%033373545.31%37584444.43%575132443.43%113260813875751033485
10Monsters211000001113-21010000048-41100000075220.500112132003810011684331543753615772422389444.44%11918.18%033373545.31%37584444.43%575132443.43%113260813875751033485
11Patriotes30300000717-101010000024-220200000513-800.0007132000381001168483154375361578231639400.00%8537.50%133373545.31%37584444.43%575132443.43%113260813875751033485
12Prospects311001002019111000000963201001001113-230.5002040600038100116872315437536151063418487457.14%10460.00%133373545.31%37584444.43%575132443.43%113260813875751033485
13Senators21100000880110000003211010000056-120.50081119003810011685531543753615462014266350.00%7442.86%133373545.31%37584444.43%575132443.43%113260813875751033485
14Sharks30300000925-161010000047-320200000518-1300.000917260038100116875315437536151484225444125.00%10640.00%033373545.31%37584444.43%575132443.43%113260813875751033485
15Sheriefs412010002327-4211000001014-4201010001313040.500234467003810011681123154375361510124266412758.33%13653.85%033373545.31%37584444.43%575132443.43%113260813875751033485
Total59183008300262329-6730121304100141160-192961704200121169-48550.4662624807421038100116813033154375361518295324178731647545.73%19810049.49%1233373545.31%37584444.43%575132443.43%113260813875751033485
17Vikings1010000045-11010000045-10000000000000.00046100038100116828315437536154013214100.00%110.00%033373545.31%37584444.43%575132443.43%113260813875751033485
18Warriors220000001174110000005321100000064241.000112031003810011685631543753615301014403266.67%7357.14%033373545.31%37584444.43%575132443.43%113260813875751033485
19Wildcats523000001721-4211000001010031200000711-440.40017304700381001168743154375361512944296316743.75%121016.67%033373545.31%37584444.43%575132443.43%113260813875751033485
20Youngblood72302000363154110200021174312000001514180.57136661021038100116816931543753615141324211025728.00%21957.14%333373545.31%37584444.43%575132443.43%113260813875751033485
_Since Last GM Reset59183008300262329-6730121304100141160-192961704200121169-48550.4662624807421038100116813033154375361518295324178731647545.73%19810049.49%1233373545.31%37584444.43%575132443.43%113260813875751033485
_Vs Conference38121707200180206-26219704100107107017310031007399-26400.526180335515103810011688813154375361511243282675841145346.49%1226348.36%1033373545.31%37584444.43%575132443.43%113260813875751033485
_Vs Division16610060006290-287550400030300915020003260-28240.750621111731038100116836031543753615455135107230401127.50%512649.02%533373545.31%37584444.43%575132443.43%113260813875751033485

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5955L12624807421303182953241787310
All Games
GPWLOTWOTL SOWSOLGFGA
5918308300262329
Home Games
GPWLOTWOTL SOWSOLGFGA
3012134100141160
Visitor Games
GPWLOTWOTL SOWSOLGFGA
296174200121169
Last 10 Games
WLOTWOTL SOWSOL
243100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1647545.73%19810049.49%12
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
31543753615381001168
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33373545.31%37584444.43%575132443.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
113260813875751033485


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
1 - 2020-03-024Distraction4Monster6WBoxScore
2 - 2020-03-038Monster2Monkeys 6LBoxScore
4 - 2020-03-0525Monster4Youngblood6LBoxScore
6 - 2020-03-0732Sheriefs10Monster4LBoxScore
8 - 2020-03-0944Distraction3Monster5WBoxScore
10 - 2020-03-1157Wildcats4Monster8WBoxScore
12 - 2020-03-1364Monster3Wildcats2WBoxScore
14 - 2020-03-1577Monster2Wildcats3LBoxScore
16 - 2020-03-1784Monster5Intrepides4WXBoxScore
18 - 2020-03-1993Monster5Sheriefs6LBoxScore
20 - 2020-03-21101Youngblood6Monster7WXBoxScore
22 - 2020-03-23113Falcons3Monster6WBoxScore
24 - 2020-03-25123Monster3Distraction9LBoxScore
26 - 2020-03-27133Intrepides5Monster6WXBoxScore
28 - 2020-03-29144Monster3Monkeys 4LXBoxScore
29 - 2020-03-30152Distraction9Monster3LBoxScore
32 - 2020-04-02166Sharks7Monster4LBoxScore
33 - 2020-04-03178Monster4Dynamos9LBoxScore
35 - 2020-04-05189Monster1Sharks10LBoxScore
37 - 2020-04-07196Monster2Patriotes7LBoxScore
39 - 2020-04-09206Wildcats6Monster2LBoxScore
41 - 2020-04-11218Warriors3Monster5WBoxScore
42 - 2020-04-12229Senators2Monster3WBoxScore
44 - 2020-04-14238Monster3Patriotes6LBoxScore
46 - 2020-04-16247Patriotes4Monster2LBoxScore
48 - 2020-04-18257Monster4Sharks8LBoxScore
49 - 2020-04-19266Bolt3Monster5WBoxScore
51 - 2020-04-21278Monster5Bolt4WBoxScore
53 - 2020-04-23286Monster5Prospects6LXBoxScore
55 - 2020-04-25296Dynamos7Monster4LBoxScore
56 - 2020-04-26306Youngblood5Monster4LBoxScore
58 - 2020-04-28318Monster5Dynamos4WBoxScore
60 - 2020-04-30326Falcons8Monster5LBoxScore
62 - 2020-05-02338Monster5Senators6LBoxScore
64 - 2020-05-04347Youngblood1Monster4WBoxScore
65 - 2020-05-05355Monster2Falcons4LBoxScore
67 - 2020-05-07366Distraction8Monster5LBoxScore
69 - 2020-05-09377Monster4Intrepides9LBoxScore
70 - 2020-05-10387Monster6Prospects7LBoxScore
71 - 2020-05-11389Monster2Destroyers9LBoxScore
73 - 2020-05-13402Prospects6Monster9WBoxScore
75 - 2020-05-15413L'Euphorie1Monster8WBoxScore
76 - 2020-05-16426Monster7Monsters5WBoxScore
78 - 2020-05-18434Monsters8Monster4LBoxScore
79 - 2020-05-19444Monster6Warriors4WBoxScore
81 - 2020-05-21452Distraction8Monster1LBoxScore
83 - 2020-05-23465Youngblood5Monster6WXBoxScore
85 - 2020-05-25472Monster8Youngblood3WBoxScore
87 - 2020-05-27484Monster8Sheriefs7WXBoxScore
89 - 2020-05-29494Intrepides4Monster5WXBoxScore
90 - 2020-05-30508Vikings5Monster4LBoxScore
92 - 2020-06-01516Monster2Wildcats6LBoxScore
94 - 2020-06-03529Sheriefs4Monster6WBoxScore
95 - 2020-06-04536Monster7Chiefs6WXBoxScore
96 - 2020-06-05544Monster5L'Euphorie4WXBoxScore
97 - 2020-06-06554Intrepides3Monster5WBoxScore
99 - 2020-06-08562Monster3Youngblood5LBoxScore
101 - 2020-06-10575L'Euphorie5Monster4LXBoxScore
102 - 2020-06-11587Monkeys 13Monster1LBoxScore
105 - 2020-06-14602Destroyers-Monster-
106 - 2020-06-15610Monster-Warriors-
107 - 2020-06-16620Warriors-Monster-
109 - 2020-06-18630Monster-Sheriefs-
112 - 2020-06-21644Sheriefs-Monster-
114 - 2020-06-23659Dynamos-Monster-
115 - 2020-06-24663Monster-Monkeys -
116 - 2020-06-25676Monster-Intrepides-
117 - 2020-06-26683Bolt-Monster-
120 - 2020-06-29695Monster-Bolt-
121 - 2020-06-30702Monster-L'Euphorie-
122 - 2020-07-01710Chiefs-Monster-
124 - 2020-07-03723Prospects-Monster-
125 - 2020-07-04739Monster-Distraction-
126 - 2020-07-05743Chiefs-Monster-
Trade Deadline --- Trades can’t be done after this day is simulated!
129 - 2020-07-08758Monster-Vikings-
130 - 2020-07-09762Sharks-Monster-
133 - 2020-07-12780Monster-Destroyers-
134 - 2020-07-13784Sheriefs-Monster-
135 - 2020-07-14790Monster-Monkeys -
136 - 2020-07-15800Monster-Distraction-
138 - 2020-07-17809L'Euphorie-Monster-
139 - 2020-07-18819Monster-Monkeys -



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
11 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
985,155$ 865,000$ 687,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 543,182$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 38 10,426$ 396,188$




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
201959183008300262329-6730121304100141160-192961704200121169-48552624807421038100116813033154375361518295324178731647545.73%19810049.49%1233373545.31%37584444.43%575132443.43%113260813875751033485
Total Regular Season59183008300262329-6730121304100141160-192961704200121169-48552624807421038100116813033154375361518295324178731647545.73%19810049.49%1233373545.31%37584444.43%575132443.43%113260813875751033485
Playoff
20171385000007583-8743000004052-1264200000353141675126201001731243490173155153947919968205522548.08%332233.33%116826064.62%12119263.02%23632971.73%310192267106216116
Total Playoff1385000007583-8743000004052-1264200000353141675126201001731243490173155153947919968205522548.08%332233.33%116826064.62%12119263.02%23632971.73%310192267106216116