Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
Jean Levergneaux | 50 | 74





Jean Levergneaux
Metropolitan Division
Eastern Conference




5,000
5,000




28
19
47 / 55
27


PriorityDescription
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
# #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
1Connor Brown (R)0X100.00605098778262868342727156778377050780301775,000$
2Jiri Smejkal (R)0X100.00695297778041558343717048768376050760271870,000$
3Nils Aman0X100.00605197788148558355737049778377050760243775,500$
4Chris Terry0XXX100.00466482747679917936626840732540050730351775,000$
5Logan Shaw0XXX100.00456583747681947936616840732540050730311775,000$
6Max McCormick0XXX100.00476681737683977936606840732540050730321775,000$
7Charles Hudon0XXX100.00476181747672837936616840732540050720301775,000$
8Marco Kasper (R)0X100.00456683727583977765596740722540050720203918,333$
9Marian Studenic (R)0XXX100.00456484737679917836606740722540050720252780,000$
10Nick Abruzzese (R)0X100.00456584737681947836616740732540050720253813,750$
11Nathan Legare (R)0X100.00476481717580937636566740712540050710231789,167$
12Cole Reinhardt (R)0X100.00486379727578907736586740722540050710241925,000$
13Nikita Okhotiuk (R)0X100.00725394778054628540727057788578050810231925,000$
14Calle Rosen0X100.00456484727680937736606643712540050730302876,875$
15Christian Wolanin0X100.00455183737658577836626751722540050730291889,875$
16Dillon Heatherington0X100.00466082717571827636576646712540050720291861,625$
17Simon Johansson (R)0X100.00466282717575877636576740712540050720253897,750$
18Frederic Brunet (R)0X100.00455483717558657636586648712540050710203860,000$
1Zack Ostapchuk (R)0X100.00466582727581947765576740722540050710213825,000$
2Fredrik Karlstrom0X100.00455484737658647865606840732540050700261806,000$
3Chase Stillman (R)0X100.00485779727663737736576740722540050700213863,334$
4Santtu Kinnunen (R)0X100.00456583717581947636586641712540050720253897,750$
5Filip Roos (R)0X100.00456083717569807636586640712540050710253813,750$
6Matthew Robertson (R)0X100.00465981727567777636596641712540050710231797,500$
7Victor Mete (R)0X100.00456083717569807636586641712540050710261962,000$
100.0049608573767081784161674373344605073
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Malcolm Subban0100.0071687974737074646874702555050820301775,000$
2Nikita Tolopilo (R)0100.0073687774726974676974702555050820242950,000$
1Michael Hutchinson0100.0072627073727074666873704563050800341775,000$
100.007266757472707466687470325805081
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# 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
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


PriorityDescription
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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Calle Rosen Monsters (CBJ)D301994-02-02SWENo188 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm876,875$313,170$0$0$No876,875$Unrestricted----876,875$--------No--------Link / NHL Link
Charles Hudon Monsters (CBJ)C/LW/RW301994-06-23CANNo190 Lbs5 ft10NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Chase Stillman Monsters (CBJ)RW212003-03-19USAYes185 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm863,334$308,334$0$0$No863,334$863,334$ Restricted----863,334$863,334$-------NoNo-------Link / NHL Link
Chris Terry Monsters (CBJ)C/LW/RW351989-04-07CANNo191 Lbs5 ft10NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Christian Wolanin Monsters (CBJ)D291995-03-17CANNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm889,875$317,812$0$0$NoUnrestricted----------------------Link / NHL Link
Cole Reinhardt Monsters (CBJ)LW242000-02-01CANYes200 Lbs6 ft0NoNoN/ANoNo1FalseFalseFarm Only925,000$330,357$0$0$No Restricted----------------------Link / NHL Link
Connor Brown Monsters (CBJ)RW301994-01-14CANYes181 Lbs6 ft0NoNoProspectNoNo12024-07-02FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Dillon Heatherington Monsters (CBJ)D291995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm861,625$307,723$0$0$NoUnrestricted----------------------Link / NHL Link
Filip Roos Monsters (CBJ)D251999-01-05SWEYes190 Lbs6 ft4NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm813,750$290,625$0$0$No813,750$813,750$ Restricted----813,750$813,750$-------NoNo-------Link / NHL Link
Frederic Brunet Monsters (CBJ)D202003-08-21CANYes189 Lbs6 ft3NoNoProspectNoNo32024-07-02FalseFalsePro & Farm860,000$307,143$0$0$No860,000$860,000$Restricted----860,000$860,000$-------NoNo-------Link / NHL Link
Fredrik Karlstrom Monsters (CBJ)C261998-01-12SWENo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm806,000$287,857$0$0$NoUnrestricted----------------------Link / NHL Link
Jiri Smejkal Monsters (CBJ)LW271996-11-05CZEYes209 Lbs6 ft4NoNoProspectNoNo12024-07-02FalseFalsePro & Farm870,000$310,714$0$0$NoUnrestricted----------------------Link / NHL Link
Logan Shaw Monsters (CBJ)C/LW/RW311992-10-05CANNo208 Lbs6 ft3NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Malcolm Subban Monsters (CBJ)G301993-12-21CANNo215 Lbs6 ft2NoNoFree AgentNoNo12024-08-17FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Marco Kasper Monsters (CBJ)C202004-04-08AUTYes183 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm918,333$327,976$0$0$No918,333$918,333$Restricted----918,333$918,333$-------NoNo-------Link / NHL Link
Marian Studenic Monsters (CBJ)C/LW/RW251998-10-28SVKYes190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm780,000$278,571$0$0$No780,000$ Restricted----780,000$--------No--------Link / NHL Link
Matthew Robertson Monsters (CBJ)D232001-03-09CANYes201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm797,500$284,821$0$0$No Restricted----------------------Link / NHL Link
Max McCormick Monsters (CBJ)C/LW/RW321992-05-01USANo188 Lbs5 ft11NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Michael Hutchinson Monsters (CBJ)G341990-03-02CANNo201 Lbs6 ft3NoNoFree AgentNoNo12025-03-19FalseFalsePro & Farm775,000$276,786$0$0$NoUnrestricted----------------------Link / NHL Link
Nathan Legare Monsters (CBJ)RW232001-01-11CANYes208 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm789,167$281,845$0$0$No Restricted----------------------Link / NHL Link
Nick Abruzzese Monsters (CBJ)LW251999-06-04USAYes183 Lbs5 ft11NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm813,750$290,625$0$0$No813,750$813,750$ Restricted----813,750$813,750$-------NoNo-------Link / NHL Link
Nikita Okhotiuk Monsters (CBJ)D232000-12-04RUSYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$330,357$0$0$No Restricted----------------------Link / NHL Link
Nikita Tolopilo Monsters (CBJ)G242000-04-06BELYes229 Lbs6 ft6NoNoProspectNoNo22024-07-02FalseFalsePro & Farm950,000$339,286$0$0$No950,000$ Restricted----950,000$--------No--------Link / NHL Link
Nils Aman Monsters (CBJ)C242000-02-07SWENo179 Lbs6 ft2NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm775,500$276,964$0$0$No775,500$775,500$ Restricted----775,500$775,500$-------NoNo-------Link / NHL Link
Santtu Kinnunen Monsters (CBJ)D251999-03-25FINYes165 Lbs6 ft2NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm897,750$320,625$0$0$No897,750$897,750$ Restricted----897,750$897,750$-------NoNo-------Link / NHL Link
Simon Johansson Monsters (CBJ)D251999-06-14SWEYes183 Lbs6 ft2NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm897,750$320,625$0$0$No897,750$897,750$ Restricted----897,750$897,750$-------NoNo-------Link / NHL Link
Victor Mete Monsters (CBJ)D261998-06-07CANYes187 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm962,000$343,571$0$0$No Restricted----------------------Link / NHL Link
Zack Ostapchuk Monsters (CBJ)C212003-05-29CANYes205 Lbs6 ft3NoNoProspectNoNo32024-07-02FalseFalsePro & Farm825,000$294,643$0$0$No825,000$825,000$Restricted----825,000$825,000$-------NoNo-------Link / NHL Link
2826.32195 Lbs6 ft21.75840,115$



1Logan ShawMarco KasperNils Aman30122
2Jiri SmejkalChris TerryMax McCormick30122
3Cole ReinhardtCharles HudonNathan Legare20122
4Nick AbruzzeseMarian StudenicConnor Brown20122
1Simon JohanssonChristian Wolanin30122
2Calle RosenFrederic Brunet30122
3Dillon Heatherington20122
4Dillon HeatheringtonChristian Wolanin20122
1Jiri SmejkalMarco KasperCharles Hudon50005
2Chris TerryNils AmanLogan Shaw50005
1Dillon HeatheringtonChristian Wolanin50014
2Nick AbruzzeseFrederic Brunet50014
1Max McCormickMarco Kasper50140
2Chris TerryJiri Smejkal50140
1Christian Wolanin50230
2Dillon HeatheringtonFrederic Brunet50230
1Jiri Smejkal50140Christian WolaninCalle Rosen50140
2Marco Kasper50140Dillon HeatheringtonFrederic Brunet50140
1Marco KasperJiri Smejkal50122
2Nick AbruzzeseChris Terry50122
1Frederic BrunetChristian Wolanin50122
2Simon JohanssonDillon Heatherington50122
Jiri SmejkalMarco KasperNick AbruzzeseChristian WolaninDillon Heatherington
Charles HudonNils AmanChris TerryChristian WolaninDillon Heatherington
Marco Kasper, Jiri Smejkal, Nick AbruzzeseLogan Shaw, Jiri SmejkalJiri Smejkal
Dillon Heatherington, Frederic Brunet, Christian WolaninChristian WolaninChristian Wolanin, Dillon Heatherington
Chris Terry, Nick Abruzzese, Marco Kasper, Jiri Smejkal, Christian Wolanin
#1 : Nikita Tolopilo, #2 : Malcolm Subban
Marco Kasper, Nils Aman, Nick Abruzzese, Max McCormick, Logan Shaw, Jiri Smejkal, Jiri Smejkal, Cole Reinhardt, Chris Terry, Charles Hudon, Marian Studenic
, Christian Wolanin, Simon Johansson, Dillon Heatherington, Frederic Brunet


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

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%000%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%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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 Score Home Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 23,523,210$ 23,523,210$ 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$ 10 0$ 0$




Monsters Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Monsters Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Monsters Career Team Stats

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

Monsters Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Monsters Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA