Monster

GP: 6 | W: 2 | L: 4
GF: 27 | GA: 32 | PP%: 26.67% | PK%: 42.86%
GM : Daniel Clément | Morale : 21 | Team Overall : 71
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 SPAgeContractSalary
1Chandler Stephenson (R)X100.007561948480807875677475885674750207402711,050,000$
2Robert Thomas (R)X100.005453948675807980618574765971740597402221,208,333$
3Sean KuralyX100.009167898487798172737569805274760777402821,300,000$
4Connor BrownX100.007160928477869080558179855974780767402712,100,000$
5Garnet HathawayX100.009472757989767670506773845572740697202941,500,000$
6Riley SheahanX100.00687198798878777079677282547979065720291900,000$
7Kyle OkposoX100.007969888588786173667175735684850717203341,097,000$
8Sam BennettXXX100.009067858780786170686674725676770727102511,912,500$
9Mathieu Joseph (R)X100.00826491898077436950667176536974052690241925,000$
10Nick BjugstadXX100.008674878188783567546668775176780736902921,087,000$
11Vladislav Kamenev (R)X100.00765895857974436767706476506866048680241750,000$
12Marcus PetterssonX100.00876789837985877250786477507174075740251693,750$
13Sean Walker (R)X100.00816492868184887450776869516973078730261745,000$
14Zach BogosianX100.008075838489823570507365775081840757203112,000,000$
15Jordan OesterleX100.007562948377837169507066705071740707002921,400,000$
16Trevor Van RiemsdykX100.006965958278805968506964725075760716903012,300,000$
17Markus NutivaaraX100.007763978578814570506969685272750646902731,400,000$
Scratches
1Dean Kukan (R)X100.00746192867781406750686465506966020660281777,000$
TEAM AVERAGE100.0078659184828064715872707653747506371
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 Eakins82827487726399USA524605,000$


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
1Riley SheahanMonster (BJT)C64482002622102018.18%57011.7400000000001078.57%5670002.2700000111
2Nick BjugstadMonster (BJT)C/RW616710051256124.00%46410.6800000000000050.00%432002.1900000101
3Mathieu JosephMonster (BJT)RW6134320212014125.00%57712.950000000000000.00%061001.0300000020
Team Total or Average1861319620986730448.96%1421211.7900000000001076.67%60163001.7900000232
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 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
Chandler StephensonMonster (BJT)C271994-04-22 07:14:19Yes203 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$64,285$0$0$NoLink
Connor BrownMonster (BJT)RW271994-01-14 03:26:19No185 Lbs6 ft0NoNoNo1Pro & Farm2,100,000$128,571$0$0$NoLink
Dean KukanMonster (BJT)D281993-07-08 16:27:48Yes186 Lbs6 ft2NoNoNo1Pro & Farm777,000$47,571$0$0$NoLink
Garnet HathawayMonster (BJT)RW291991-11-23 08:30:22No208 Lbs6 ft2NoNoNo4Pro & Farm1,500,000$91,836$0$0$No1,500,000$1,500,000$1,500,000$Link
Jordan OesterleMonster (BJT)D291992-06-25 14:57:16No182 Lbs6 ft0NoNoNo2Pro & Farm1,400,000$85,714$0$0$No1,400,000$Link
Kyle OkposoMonster (BJT)RW331988-04-16 15:26:19No220 Lbs6 ft0NoNoNo4Pro & Farm1,097,000$67,163$0$0$No1,097,000$1,097,000$1,097,000$Link
Marcus PetterssonMonster (BJT)D251996-05-08 16:53:32No177 Lbs6 ft3NoNoNo1Pro & Farm693,750$42,474$0$0$No
Markus NutivaaraMonster (BJT)D271994-06-06 03:26:19No191 Lbs6 ft1NoNoNo3Pro & Farm1,400,000$85,714$0$0$No1,400,000$1,400,000$Link
Mathieu JosephMonster (BJT)RW241997-02-09 16:15:30Yes190 Lbs6 ft1NoNoNo1Pro & Farm925,000$56,632$0$0$No
Nick BjugstadMonster (BJT)C/RW291992-07-17 15:26:19No218 Lbs6 ft6NoNoNo2Pro & Farm1,087,000$66,551$0$0$No1,087,000$Link
Riley SheahanMonster (BJT)C291991-12-07 09:26:19No222 Lbs6 ft3NoNoNo1Pro & Farm900,000$55,102$0$0$NoLink
Robert ThomasMonster (BJT)C221999-07-02 16:05:10Yes188 Lbs6 ft0NoNoNo2Pro & Farm1,208,333$73,979$0$0$No1,208,333$
Sam BennettMonster (BJT)C/LW/RW251996-06-20 15:26:19No200 Lbs6 ft1NoNoNo1Pro & Farm1,912,500$117,091$0$0$NoLink
Sean KuralyMonster (BJT)C281993-01-20 04:32:57No213 Lbs6 ft2NoNoNo2Pro & Farm1,300,000$79,591$0$0$No1,300,000$Link
Sean WalkerMonster (BJT)D261994-11-13 07:22:13Yes196 Lbs5 ft11NoNoNo1Pro & Farm745,000$45,612$0$0$No
Trevor Van RiemsdykMonster (BJT)D301991-07-24 09:26:19No188 Lbs6 ft2NoNoNo1Pro & Farm2,300,000$140,816$0$0$NoLink
Vladislav KamenevMonster (BJT)C241996-08-12 07:27:27Yes194 Lbs6 ft2NoNoNo1Pro & Farm750,000$45,918$0$0$No
Zach BogosianMonster (BJT)D311990-07-15 03:26:19No215 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$122,448$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1827.39199 Lbs6 ft21.671,285,866$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
3Riley SheahanNick Bjugstad20122
4Mathieu Joseph10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Mathieu Joseph20122
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
Riley Sheahan, , Nick BjugstadRiley Sheahan, Nick Bjugstad
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , , Riley Sheahan
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
Total624000002732-5312000001820-231200000912-340.33327538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747
1Wildcats624000002732-5312000001820-231200000912-340.33327538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747
_Since Last GM Reset624000002732-5312000001820-231200000912-340.33327538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747
_Vs Conference624000002732-5312000001820-231200000912-340.33327538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64OTL127538018120478288700
All Games
GPWLOTWOTL SOWSOLGFGA
62400002732
Home Games
GPWLOTWOTL SOWSOLGFGA
31200001820
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3120000912
Last 10 Games
WLOTWOTL SOWSOL
230100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
15426.67%14842.86%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5461660312120
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
386459.38%447856.41%7513455.97%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12173144559747


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 - 2021-02-156Monster2Wildcats4LBoxScore
4 - 2021-02-1714Monster1Wildcats5LBoxScore
6 - 2021-02-1922Wildcats9Monster6LBoxScore
8 - 2021-02-2130Wildcats4Monster6WBoxScore
10 - 2021-02-2338Monster6Wildcats3WBoxScore
12 - 2021-02-2546Wildcats7Monster6LXBoxScore



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
38 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,314,558$ 2,314,558$ 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$ 3 0$ 0$




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
201982244508500336462-12641171804200184218-344172704300152244-9248336623959104612915381745451586692162527763583122022210045.05%28214548.58%14472103545.60%504119942.04%797182343.72%156983719198021445678
201982681101110602225377413740000030011019041317011103021151871366029971599011332372302320510341130103952285724619119735019956.86%2367369.07%121011145569.48%1033155566.43%1215178268.18%2002124215616631361742
202082284405302463538-7541142004201243261-1841142401101220277-5771463818128100133161164630441064103593516285089863011732648632.58%25515240.39%8629141144.58%491114542.88%892190246.90%1869119617586971312643
Total Regular Season24612010001491214011225176123684208401727589138123525806511674636382551401243838391131252754716799425492751266637766223851832359083638546.05%77337052.13%342112390154.14%2028389952.01%2904550752.73%544132755239216341202064
2020624000002732-5312000001820-231200000912-3427538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747
Total Playoff624000002732-5312000001820-231200000912-3427538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747