´╗┐

Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Jean Levergneaux | Morale : 50 | Team Overall : 67
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.


Team Stats


General ManagerJean Levergneaux
Metropolitan Division
Eastern Conference




Arena Capacity5,000
Attendance
5,000




26
18
44 / 55
Prospects24


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 Average
1Ridly Greig (R)0XX100.00765492708756556556737255696969050760203925,000$
2Sam Gagner0XX100.00675295708355586249697261676767050740331775,000$
3Marian Studenic (R)0XX100.00563978676858456136706875652540050720243780,000$
4William Lockwood (R)0X100.00905196688246555740656955636363050720252962,000$
5Aatu Raty (R)0X100.00785296677936555758677055636363050700202836,667$
6Nicholas Abruzzese (R)0XX100.00526584565581944336616442542540050630241750,000$
7Rhett Gardner0XX100.00546380545478904065596445522540050620271787,500$
8Adam Brooks0X100.005357825555637342656164455325400506102711,237,500$
9Cole Reinhardt (R)0X100.00546580545482954036586441522540050610232925,000$
10Fredrik Karlstrom0X100.00526384535476884065586441522540050600252806,000$
11Nathan Legare (R)0X100.00546480525380933836576435512540050600222789,167$
12Anton Levtchi (R)0X100.00524884545658474136586438532540050580271750,000$
13Calle Rosen0X100.00675197698056596540717065686868050760293876,875$
14Christian Wolanin0X100.00665196708058556540696855666666050740282889,875$
15Filip Roos (R)0X100.00695196728160556240676955656565050740241925,000$
16William Lagesson0X100.00603671666458455736726673622540050730271971,250$
17Nikita Okhotiuk (R)0X100.00875197667943556040656955646464050730222925,000$
18Victor Mete (R)0X100.00675296698050556040686855646464050720252962,000$
Scratches
1Nikita Pavlychev (R)0X100.00533782525758453865576443512540050580261780,000$
2Santtu Kinnunen (R)0X100.00526583545481944136606441522540050620241855,000$
3Matthew Robertson (R)0X100.00536383525376883836586338512540050590222797,500$
4Dillon Heatherington0X100.00545380535358613936586343512540050590282861,625$
5Simon Johansson (R)0X100.00526283525275873736576337502540050590241855,000$
6Filip Kral (R)0X100.00525984525368793736576337502540050580231810,000$
TEAM AVERAGE100.0061548760656368494463664958405005066
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 SPAgeContractSalary Average
1Louis Domingue100.0074817977777772777975762555050790311775,000$
2Joey Daccord (R)100.0073555370797271787853782652050750262925,000$
Scratches
TEAM AVERAGE100.007468667478757278796477265405077
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 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 Clause Trade Block Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Aatu RatyMonsters (CBJ)C202002-11-14Yes190 Lbs6 ft2NoNoNo2Pro & Farm836,667$836,667$836,667$836,667$0$0$No836,667$Link / NHL Link
Adam BrooksMonsters (CBJ)C271996-05-06No185 Lbs5 ft10NoNoNo1Pro & Farm1,237,500$1,237,500$1,237,500$1,237,500$0$0$NoLink / NHL Link
Anton LevtchiMonsters (CBJ)LW271995-11-28Yes185 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLink / NHL Link
Calle RosenMonsters (CBJ)D291994-02-02No188 Lbs6 ft1NoNoNo3Pro & Farm876,875$876,875$876,875$876,875$0$0$No876,875$876,875$Link / NHL Link
Christian WolaninMonsters (CBJ)D281995-03-17No190 Lbs6 ft2NoNoNo2Pro & Farm889,875$889,875$889,875$889,875$0$0$No889,875$Link / NHL Link
Cole ReinhardtMonsters (CBJ)LW232000-02-01Yes200 Lbs6 ft0NoNoNo2Farm Only925,000$925,000$925,000$925,000$0$0$No925,000$Link / NHL Link
Dillon HeatheringtonMonsters (CBJ)D281995-05-09No232 Lbs6 ft2NoNoNo2Pro & Farm861,625$861,625$861,625$861,625$0$0$No861,625$Link / NHL Link
Filip KralMonsters (CBJ)D231999-10-20Yes193 Lbs6 ft2NoNoNo1Pro & Farm810,000$810,000$810,000$810,000$0$0$NoLink / NHL Link
Filip RoosMonsters (CBJ)D241999-01-05Yes190 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLink / NHL Link
Fredrik KarlstromMonsters (CBJ)C251998-01-12No195 Lbs6 ft3NoNoNo2Pro & Farm806,000$806,000$806,000$806,000$0$0$No806,000$Link / NHL Link
Joey DaccordMonsters (CBJ)G261996-08-19Yes210 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Link / NHL Link
Louis DomingueMonsters (CBJ)G311992-03-06No210 Lbs6 ft3NoNoNo1Pro & Farm775,000$775,000$775,000$775,000$0$0$NoLink / NHL Link
Marian StudenicMonsters (CBJ)LW/RW241998-10-28Yes178 Lbs6 ft1NoNoNo3Pro & Farm780,000$780,000$780,000$780,000$0$0$No780,000$780,000$Link / NHL Link
Matthew RobertsonMonsters (CBJ)D222001-03-09Yes201 Lbs6 ft4NoNoNo2Pro & Farm797,500$797,500$797,500$797,500$0$0$No797,500$Link / NHL Link
Nathan LegareMonsters (CBJ)RW222001-01-11Yes205 Lbs6 ft0NoNoNo2Pro & Farm789,167$789,167$789,167$789,167$0$0$No789,167$Link / NHL Link
Nicholas AbruzzeseMonsters (CBJ)LW/RW241999-06-04Yes183 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLink / NHL Link
Nikita OkhotiukMonsters (CBJ)D222000-12-04Yes195 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Link / NHL Link
Nikita PavlychevMonsters (CBJ)C261997-03-23Yes201 Lbs6 ft7NoNoNo1Pro & Farm780,000$780,000$780,000$780,000$0$0$NoLink / NHL Link
Rhett GardnerMonsters (CBJ)C/LW271996-02-28No210 Lbs6 ft3NoNoNo1Pro & Farm787,500$787,500$787,500$787,500$0$0$NoLink / NHL Link
Ridly GreigMonsters (CBJ)C/LW202002-08-08Yes180 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Link / NHL Link
Sam GagnerMonsters (CBJ)C/RW331989-08-10No201 Lbs5 ft11NoNoNo1Pro & Farm775,000$775,000$775,000$775,000$0$0$NoLink / NHL Link
Santtu KinnunenMonsters (CBJ)D241999-03-25Yes165 Lbs6 ft2NoNoNo1Pro & Farm855,000$855,000$855,000$855,000$0$0$NoLink / NHL Link
Simon JohanssonMonsters (CBJ)D241999-06-14Yes183 Lbs6 ft2NoNoNo1Pro & Farm855,000$855,000$855,000$855,000$0$0$NoLink / NHL Link
Victor MeteMonsters (CBJ)D251998-06-07Yes187 Lbs5 ft9NoNoNo2Pro & Farm962,000$962,000$962,000$962,000$0$0$No962,000$Link / NHL Link
William LagessonMonsters (CBJ)D271996-02-22No207 Lbs6 ft2NoNoNo1Pro & Farm971,250$971,250$971,250$971,250$0$0$NoLink / NHL Link
William LockwoodMonsters (CBJ)RW251998-06-20Yes172 Lbs5 ft11NoNoNo2Pro & Farm962,000$962,000$962,000$962,000$0$0$No962,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2625.23194 Lbs6 ft11.65866,652$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole ReinhardtRidly GreigSam Gagner40122
2Nicholas AbruzzeseAdam BrooksWilliam Lockwood30122
3Rhett GardnerAatu RatyMarian Studenic20122
4Anton LevtchiFredrik KarlstromNathan Legare10122
5 vs 5 Defence
Line #DefenceDefenceTime %PHYDFOF
1Calle RosenNikita Okhotiuk40122
2Christian WolaninFilip Roos30122
3Victor MeteWilliam Lagesson20122
4Calle RosenNikita Okhotiuk10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole ReinhardtRidly GreigSam Gagner60122
2Nicholas AbruzzeseAatu RatyMarian Studenic40122
Power Play Defence
Line #DefenceDefenceTime %PHYDFOF
1Christian WolaninFilip Roos60122
2Calle RosenVictor Mete40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam BrooksWilliam Lockwood60122
2Fredrik KarlstromRhett Gardner40122
Penalty Kill 4 Players Defence
Line #DefenceDefenceTime %PHYDFOF
1Calle RosenNikita Okhotiuk60122
2Filip RoosWilliam Lagesson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenceDefenceTime %PHYDFOF
1Adam Brooks60122Calle RosenNikita Okhotiuk60122
2Ridly Greig40122Filip RoosWilliam Lagesson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ridly GreigCole Reinhardt60122
2Adam BrooksSam Gagner40122
4 vs 4 Defence
Line #DefenceDefenceTime %PHYDFOF
1Calle RosenNikita Okhotiuk60122
2Filip RoosWilliam Lagesson40122
Last Minute Offensive
Left WingCenterRight WingDefenceDefence
Cole ReinhardtAatu RatyMarian StudenicVictor MeteChristian Wolanin
Last Minute Defensive
Left WingCenterRight WingDefenceDefence
Anton LevtchiAdam BrooksWilliam LockwoodWilliam LagessonNikita Okhotiuk
Extra Forwards
Normal PowerPlayPenalty Kill
Ridly Greig, Cole Reinhardt, Sam GagnerRidly Greig, Cole ReinhardtAdam Brooks
Extra Defencemen
Normal PowerPlayPenalty Kill
Calle Rosen, Nikita Okhotiuk, Christian WolaninChristian WolaninNikita Okhotiuk, Calle Rosen
Penalty Shots
Ridly Greig, Sam Gagner, Aatu Raty, Cole Reinhardt, Marian Studenic
Goalie
#1 : Louis Domingue, #2 : Joey Daccord
Custom OT Lines Forwards
Ridly Greig, Sam Gagner, Adam Brooks, Aatu Raty, Marian Studenic, Nicholas Abruzzese, Nicholas Abruzzese, William Lagesson, Rhett Gardner, Fredrik Karlstrom, Nathan Legare
Custom OT Lines Defencemen
Calle Rosen, Nikita Okhotiuk, Filip Roos, Christian Wolanin, William Lagesson


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
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
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 Visiting Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity35001500
Ticket Price5025
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 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$




Monsters

# 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
1Jaret Anderson-Dolan821361823181316817539834.17%34165520.192533586401108256.54%173.8402
2Rhett Gardner1641291803091264624114550525.54%43286717.492438627000008155.14%132.1500
3Adam Brooks164121155276106815412645826.42%31268016.341519344520279344.13%122.0601
4Julien Gauthier8213512325811716969736437.09%43160719.6017193661729138250.65%133.2103
5Marian Studenic16480113193242817410342718.74%46233914.2789173200027239.66%31.6512

Monsters

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Joey Daccord101602040.7845.5654474450523381246900.7147
2Troy Grosenick70481420.9182.7239662118022071380510.5008

Monsters

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
2021825622002118615123494129110010045426618841271100111407246161117861137922400403563141902650084993586520437551349101123210545.26%1785370.22%11600126947.28%481111443.18%999200649.80%1914134518405711178594
2022824526063113122625041259042011791176241201702110133145-1210831254685811125928892971108498089322271393637817351683822.62%1803481.11%8819151554.06%732141951.59%586114551.18%1813115518186691315648
Total Regular Season164101480652211737743998254200430163338325082472802221540391149225117319253098151254484021995621108418291828887475616911727274640014335.75%3588775.70%191419278450.97%1213253347.89%1585315150.30%372725013659124124931242
Playoff
20219540000081681353200000493514422000003233-11081117198000422415297010388103268938184221150.00%24675.00%06012448.39%4412335.77%10421149.29%2141552056212359
2022624000001416-2312000007703120000079-2414243800715120062486327244963210516318.75%16287.50%04910745.79%5611947.06%306546.15%12677153519849
Total Playoff15780000095841184400000564214734000003942-3149514123600743291649762151151130512189113189381436.84%40880.00%010923147.19%10024241.32%13427648.55%341233358113221108

Monsters

# 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
1Julien Gauthier91515306212124632.61%1017519.52167200001125.00%23.4200
2Rhett Gardner15920293619175018.00%627218.18044600001148.61%02.1300
3Jaret Anderson-Dolan920929601094346.51%317819.81404800000055.41%33.2500
4Adam Brooks151415298016124531.11%725116.77617900001043.13%22.3100
5William Lockwood1510818-3222144422.73%224316.26000000001141.11%11.4800

Monsters

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Troy Grosenick62220.9342.553770016244164000.0000