Monsters

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Xavier Vigneau | Morale : 75 | Team Overall : 58

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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.
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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
1Michael CarconeX100.007439867366808569596867636671703575670
2Antonio StrangesX100.005737906466898363656261606465675875620
3William DufourX100.007441735783797256535558595764664875600
4Jacob PetersonX100.004040404040404040404040404040404075420
5Maxim CajkovicX100.004040404040404040404040404040404075420
6Tanner KaspickX100.004040404040404040404040404040404075420
7Ronan SeeleyX100.006237955675828655305354614564664875590
Scratches
1Igor Chernyshov (R)X100.006838816679848670656867637161647775650
2Trevor Connelly (R)X100.005739856567857764746859586360628575620
3Kenta Isogai (R)X100.005936955669687054525355575662644475580
4Cole Hutson (R)X100.006533827667886473307470665559607675670
5Carter Yakemchuk (R)X100.007138797087838269306866635561628775660
6Brayden Hislop (R)X100.006537956074666457306050564563654675590
7Blake Smith (R)X100.008063565489628353305251584562644275580
TEAM AVERAGE100.00614074586770695746575656535859557558
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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
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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
1Will Cranley100.00647369836362646362646364714875580
TEAM AVERAGE100.0064736983636264636264636471487558
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Madden62717063797469CAN5311,000,000$


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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
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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
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# 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


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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")
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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
Antonio StrangesLW242002-02-05No168 Lbs5 ft11NoNoNo1RFAPro & Farm846,667$0$0$NoLink / NHL Link
Blake SmithD212004-10-05Yes211 Lbs6 ft4YesNoNo2ELCPro & Farm1,500,000$0$0$NoLink / NHL Link
Brayden HislopD222003-09-26Yes181 Lbs6 ft1YesNoNo2ELCPro & Farm1,500,000$0$0$NoLink / NHL Link
Carter YakemchukD202005-09-29Yes219 Lbs6 ft3NoNoNo2ELCPro & Farm942,500$0$0$NoLink / NHL Link
Cole HutsonD202006-06-28Yes175 Lbs5 ft11NoNoNo2ELCPro & Farm940,833$0$0$NoLink / NHL Link
Igor ChernyshovLW202005-11-30Yes195 Lbs6 ft2NoNoNo2ELCPro & Farm934,167$0$0$NoLink / NHL Link
Jacob PetersonC271999-07-19No180 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kenta IsogaiLW222004-08-28Yes177 Lbs5 ft11YesNoNo2ELCPro & Farm1,500,000$0$0$NoLink / NHL Link
Maxim CajkovicRW252001-01-03No185 Lbs5 ft11NoNoNo1RFAPro & Farm850,833$0$0$NoLink / NHL Link
Michael CarconeLW301996-05-19No182 Lbs5 ft9NoNoNo2UFAPro & Farm775,000$0$0$NoLink / NHL Link
Ronan SeeleyD242002-08-02No201 Lbs6 ft0NoNoNo2RFAPro & Farm813,750$0$0$NoLink / NHL Link
Tanner KaspickC281998-01-28No200 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Trevor ConnellyLW202006-02-28Yes156 Lbs6 ft0NoNoNo2ELCPro & Farm975,000$0$0$NoLink / NHL Link
Will CranleyG242002-02-26No183 Lbs6 ft4NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
William DufourRW242002-01-28No215 Lbs6 ft2NoNoNo1RFAPro & Farm859,167$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1523.40189 Lbs6 ft11.67992,528$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140113
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
240122
320122
40122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160005
240005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160113
240113
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 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


Filter Tips
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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,488,792$ 1,488,792$ 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$ 0 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
201778303903312480541-6139211402002266240263992501310214301-8773480856133610106198172523616467999002623617761638150030112541.53%36517452.33%15653135448.23%592120649.09%851186945.53%1755108016387091317631
201982313503742232240-8411912014411261111541122302301106129-23852324266581385716910279390994690363297486766120132535822.92%2844384.86%11373296346.34%1486311947.64%611126848.19%1955136519875891032513
202082283905811274316-4241171703310137143-641112202501137173-36772745027760196928082955946918105055328498552721292506024.00%2315476.62%11375300845.71%1455324944.78%644137846.73%1831126220926001029497
202182354002221336348-1241182100200164176-1241171902021172172081336624960210122106104350501221110611623491101157621832646825.76%2586176.36%51680327551.30%1586327848.38%766150450.93%1937137219945761008497
2022824227082033362934341221105102168138304120160310116815513105336616952220143978833930109911201139338498147920902806121.79%2103682.86%01787326754.70%1914340256.26%764138855.04%2026143319035801019516
20238238310472038136615412013043101911741741181800410190192-295381687106800014312810440350134013211351360297765224212926421.92%2866278.32%32031364155.78%1799324055.52%843153754.85%2091151218535611007509
20248235370441138737611411815024112001802041172202000187196-985387715110241015513988393601287136412573689104673224802715921.77%3257477.23%41693346148.92%1564323448.36%753150150.17%201314681984539946471
202582343706401371391-2041191702300193195-241152004101178196-1885371719109040015911294390701312125913123714101257624952515521.91%2706675.56%01576336746.81%1564327747.73%674154143.74%189313592082560964467
Total Regular Season65227328503537111127972871-7432615412001920761445135788326119165016174513521514-1626862797514579421482871083903501268852501892290236365264997655584117311216255025.44%222957074.43%29121682433650.00%119602400549.82%59061198649.27%155051085415535471683264105
Playoff
2022514000002232-10303000001320-721100000912-322241631009662900978885311824919020210.00%19573.68%013426949.81%12625848.84%539854.08%12084133386330
2023624000002829-1321000001697303000001220-842854820008155313010411495305935419719736.84%24387.50%016031251.28%15524463.52%7211065.45%156111132387037
Total Playoff1138000005061-116240000029290514000002132-1165095145100172111603020120218061617510338739923.08%43881.40%029458150.60%28150255.98%12520860.10%2771952667613468