Monster

GP: 54 | W: 24 | L: 27 | OTL: 3 | P: 51
GF: 308 | GA: 352 | PP%: 32.75% | PK%: 40.12%
GM : Daniel Clément | Morale : 49 | Team Overall : 70
Next Games #593 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 SPAgeContractSalary
1Sean KuralyX100.009167898487798172737569805274760677402821,300,000$
2Connor BrownX100.007160928477869080558179855974780627402712,100,000$
3Garnet HathawayX100.009472757989767670506773845572740637202941,500,000$
4Sonny Milano (R)X100.00696090947979657550787269576971053720241874,125$
5Riley SheahanX100.00687198798878777079677282547979062720291900,000$
6Kyle OkposoX100.007969888588786173667175735684850587203241,097,000$
7Sam BennettXXX100.009067858780786170686674725676770597102411,912,500$
8Melker KarlssonXX100.00726593887978716955677085537877065710301660,000$
9Mathieu Joseph (R)X100.00826491898077436950667176536974045690241925,000$
10Nick BjugstadXX100.008674878188783567546668775176780646902821,087,000$
11Vladislav Kamenev (R)X100.00765895857974436767706476506866063680241750,000$
12Sean Walker (R)X100.00816492868184887450776869516973064730261745,000$
13Zach BogosianX100.008075838489823570507365775081840617203012,000,000$
14Jordan OesterleX100.007562948377837169507066705071740577002821,400,000$
15Trevor Van RiemsdykX100.006965958278805968506964725075760586902912,300,000$
16Markus NutivaaraX100.007763978578814570506969685272750516902631,400,000$
17Dean Kukan (R)X100.00746192867781406750686465506966040660271777,000$
Scratches
1Tage Thompson (R)X100.009166908287723560506060785069690206602311,137,500$
TEAM AVERAGE100.0079669085827960705770697553747505671
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
1Sonny MilanoMonster (BJT)LW5437629917121035302728115713.60%1482915.36459816000002154.55%339618022.3900020586
2Garnet HathawayMonster (BJT)RW544543881443595322838816315.90%2482715.33426616000002257.14%425232042.1300001826
3Riley SheahanMonster (BJT)C54254267210018472177012711.52%1362711.6200003000015170.73%5334517002.1300000542
4Nick BjugstadMonster (BJT)C/RW5423315422121037241604411514.37%1857210.6000000000090052.94%515121001.8900002158
5Zach BogosianMonster (BJT)D211433471516103326125525111.20%3257327.321113243058101438200.00%01342111.6400101431
6Mathieu JosephMonster (BJT)RW54102535-13115362715358616.54%4069612.9000000000002055.56%93925011.0100100108
7Kyle OkposoMonster (BJT)RW912162830016769224117.39%317619.653912522101121062.50%8104003.1700000150
8Jordan OesterleMonster (BJT)D1017860095146117.14%1018418.49112213011014000.00%045000.8700000010
9Trevor Van RiemsdykMonster (BJT)D20066-231210343410110.00%2124912.500111800003000.00%0418000.4800110000
10Blake ComeauBlue JacketsLW/RW1022-100105050.00%02020.700220300000000.00%001001.9300000000
11Markus NutivaaraMonster (BJT)D3011400412110.00%65518.490000701106000.00%013000.3600000000
12Chandler StephensonBlue JacketsC10000275011000.00%033.0200000000000033.33%600000.0000001000
13Vladislav KamenevMonster (BJT)C14000-40021157140.00%0574.1200000000110079.25%5330000.0000000000
Team Total or Average3491672684356113355289205135043975712.37%181487513.972333565215122467614468.03%735318186181.7800335252831
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
Connor BrownMonster (BJT)RW271994-01-14 03:26:19No185 Lbs6 ft0NoNoNo1Pro & Farm2,100,000$690,000$0$0$NoLink
Dean KukanMonster (BJT)D271993-07-08 16:27:48Yes186 Lbs6 ft2NoNoNo1Pro & Farm777,000$255,300$0$0$NoLink
Garnet HathawayMonster (BJT)RW291991-11-23 08:30:22No208 Lbs6 ft2YesNoNo4Pro & Farm1,500,000$492,857$0$0$No1,500,000$1,500,000$1,500,000$Link
Jordan OesterleMonster (BJT)D281992-06-25 14:57:16No182 Lbs6 ft0YesNoNo2Pro & Farm1,400,000$460,000$0$0$No1,400,000$Link
Kyle OkposoMonster (BJT)RW321988-04-16 15:26:19No220 Lbs6 ft0NoNoNo4Pro & Farm1,097,000$360,442$0$0$No1,097,000$1,097,000$1,097,000$Link
Markus NutivaaraMonster (BJT)D261994-06-06 03:26:19No191 Lbs6 ft1NoNoNo3Pro & Farm1,400,000$460,000$0$0$No1,400,000$1,400,000$Link
Mathieu JosephMonster (BJT)RW241997-02-09 16:15:30Yes190 Lbs6 ft1NoNoNo1Pro & Farm925,000$303,928$0$0$No
Melker KarlssonMonster (BJT)LW/RW301990-07-18 03:26:19No180 Lbs6 ft0YesNoNo1Pro & Farm660,000$216,857$0$0$NoLink
Nick BjugstadMonster (BJT)C/RW281992-07-17 15:26:19No218 Lbs6 ft6NoNoNo2Pro & Farm1,087,000$357,157$0$0$No1,087,000$Link
Riley SheahanMonster (BJT)C291991-12-07 09:26:19No222 Lbs6 ft3YesNoNo1Pro & Farm900,000$295,714$0$0$NoLink
Sam BennettMonster (BJT)C/LW/RW241996-06-20 15:26:19No200 Lbs6 ft1NoNoNo1Pro & Farm1,912,500$628,392$0$0$NoLink
Sean KuralyMonster (BJT)C281993-01-20 04:32:57No213 Lbs6 ft2NoNoNo2Pro & Farm1,300,000$427,142$0$0$No1,300,000$Link
Sean WalkerMonster (BJT)D261994-11-13 07:22:13Yes196 Lbs5 ft11NoNoNo1Pro & Farm745,000$244,785$0$0$No
Sonny MilanoMonster (BJT)LW241996-05-12 06:51:27Yes194 Lbs6 ft0NoNoNo1Pro & Farm874,125$287,212$0$0$No
Tage ThompsonMonster (BJT)RW231997-10-30 06:46:34Yes205 Lbs6 ft6NoNoNo1Pro & Farm1,137,500$373,750$0$0$NoLink
Trevor Van RiemsdykMonster (BJT)D291991-07-24 09:26:19No188 Lbs6 ft2NoNoNo1Pro & Farm2,300,000$755,714$0$0$NoLink
Vladislav KamenevMonster (BJT)C241996-08-12 07:27:27Yes194 Lbs6 ft2NoNoNo1Pro & Farm750,000$246,428$0$0$No
Zach BogosianMonster (BJT)D301990-07-15 03:26:19No215 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$657,142$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1827.11199 Lbs6 ft21.611,270,285$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Sonny MilanoGarnet Hathaway30122
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
2Sonny MilanoGarnet Hathaway40122
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
1Bolt412001002131-10211000001013-3201001001118-730.37521365700981001056153775699627121575030625120.00%15846.67%045296946.65%32473344.20%608122449.67%12868341117435850433
2Destroyers20200000517-1210100000310-71010000027-500.0005813009810010568177569962712853613346116.67%4250.00%045296946.65%32473344.20%608122449.67%12868341117435850433
3Distraction201000011621-5201000011621-50000000000010.250162844009810010568177569962712872426237457.14%8625.00%045296946.65%32473344.20%608122449.67%12868341117435850433
4Dynamos11000000532110000005320000000000021.000591400981001056377756996271215749000.00%220.00%045296946.65%32473344.20%608122449.67%12868341117435850433
5Extreme513010003437-33110100021210202000001316-340.400345589009810010562047756996271219459327823730.43%161131.25%045296946.65%32473344.20%608122449.67%12868341117435850433
6Guerriers du Nord21100000101001010000048-41100000062420.5001018280098100105686775699627122948306116.67%4325.00%045296946.65%32473344.20%608122449.67%12868341117435850433
7Intrepides330000002110111100000081722000000139461.0002138590098100105612177569962712521314468450.00%7442.86%045296946.65%32473344.20%608122449.67%12868341117435850433
8L'Euphorie421010002321221001000161332110000078-160.7502341640098100105616577569962712110221865211152.38%8450.00%145296946.65%32473344.20%608122449.67%12868341117435850433
9Les Restants2010100010100100010004311010000067-120.5001019290098100105692775699627125926192410110.00%7357.14%145296946.65%32473344.20%608122449.67%12868341117435850433
10Monkeys 522010004042-210001000981422000003134-360.6004066106009810010562107756996271220973556612433.33%201525.00%245296946.65%32473344.20%608122449.67%12868341117435850433
11Monsters312000001822-411000000853202000001017-720.33318294700981001056927756996271213437204813323.08%10640.00%045296946.65%32473344.20%608122449.67%12868341117435850433
12Prospects421001002317621000100128421100000119250.625233962009810010561757756996271211334266411327.27%13561.54%045296946.65%32473344.20%608122449.67%12868341117435850433
13Senators303000001526-1120200000916-710100000610-400.00015264100981001056107775699627121134018455240.00%9722.22%045296946.65%32473344.20%608122449.67%12868341117435850433
14Sharks211000001116-51100000064210100000512-720.500111930009810010566877569962712943418296233.33%9633.33%245296946.65%32473344.20%608122449.67%12868341117435850433
15Shokers303000001022-1220200000913-41010000019-800.000101525009810010561027756996271214536213810220.00%8450.00%045296946.65%32473344.20%608122449.67%12868341117435850433
Total54192705201308352-442691104101151164-1328101601100157188-31510.4723085288360098100105621107756996271218505834018141715632.75%1629740.12%645296946.65%32473344.20%608122449.67%12868341117435850433
16Vikings413000001624-820200000412-8211000001212020.25016304600981001056144775699627121254820767114.29%10460.00%045296946.65%32473344.20%608122449.67%12868341117435850433
17Warriors10001000651000000000001000100065121.000691500981001056307756996271220834226350.00%220.00%045296946.65%32473344.20%608122449.67%12868341117435850433
18Wildcats431000002418611000000752321000001713460.750244367009810010561627756996271210932255515640.00%10550.00%045296946.65%32473344.20%608122449.67%12868341117435850433
_Since Last GM Reset54192705201308352-442691104101151164-1328101601100157188-31510.4723085288360098100105621107756996271218505834018141715632.75%1629740.12%645296946.65%32473344.20%608122449.67%12868341117435850433
_Vs Conference31131302201183193-101675021011059961568001007894-16330.5321833144970098100105612317756996271210613042104601064037.74%945343.62%345296946.65%32473344.20%608122449.67%12868341117435850433
_Vs Division1147010015480-26624010013443-9523000002037-17110.5005494148009810010564217756996271240213267173381642.11%301936.67%345296946.65%32473344.20%608122449.67%12868341117435850433

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5451L33085288362110185058340181400
All Games
GPWLOTWOTL SOWSOLGFGA
5419275201308352
Home Games
GPWLOTWOTL SOWSOLGFGA
269114101151164
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2810161100157188
Last 10 Games
WLOTWOTL SOWSOL
271000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1715632.75%1629740.12%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
77569962712981001056
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
45296946.65%32473344.20%608122449.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12868341117435850433


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 - 2021-02-143Monster6Warriors5WXBoxScore
2 - 2021-02-1515Monster7Monkeys 12LBoxScore
4 - 2021-02-1723Extreme7Monster11WBoxScore
6 - 2021-02-1937Monster10Monkeys 8WBoxScore
8 - 2021-02-2146L'Euphorie5Monster7WBoxScore
10 - 2021-02-2356Shokers6Monster5LBoxScore
12 - 2021-02-2571Monster5L'Euphorie2WBoxScore
14 - 2021-02-2780L'Euphorie8Monster9WXBoxScore
16 - 2021-03-0194Monster8Monkeys 6WBoxScore
18 - 2021-03-03102Distraction12Monster11LXXBoxScore
20 - 2021-03-05113Monster7Intrepides5WBoxScore
22 - 2021-03-07122Wildcats5Monster7WBoxScore
24 - 2021-03-09134Monster3Wildcats4LBoxScore
26 - 2021-03-11147Les Restants3Monster4WXBoxScore
28 - 2021-03-13158Monster2Destroyers7LBoxScore
30 - 2021-03-15169Prospects5Monster4LXBoxScore
32 - 2021-03-17184Monster6Intrepides4WBoxScore
34 - 2021-03-19188Destroyers10Monster3LBoxScore
35 - 2021-03-20206Bolt4Monster6WBoxScore
37 - 2021-03-22209Monster5Sharks12LBoxScore
39 - 2021-03-24224Monster9Wildcats6WBoxScore
40 - 2021-03-25230Monster9Vikings6WBoxScore
42 - 2021-03-27241Vikings5Monster3LBoxScore
44 - 2021-03-29257Monster6Monkeys 8LBoxScore
46 - 2021-03-31263Senators8Monster7LBoxScore
48 - 2021-04-02275Monster6Prospects7LBoxScore
50 - 2021-04-04286Guerriers du Nord8Monster4LBoxScore
51 - 2021-04-05299Monsters5Monster8WBoxScore
52 - 2021-04-06310Extreme8Monster3LBoxScore
54 - 2021-04-08319Monster3Vikings6LBoxScore
56 - 2021-04-10333Monster5Prospects2WBoxScore
58 - 2021-04-12340Monster6Guerriers du Nord2WBoxScore
60 - 2021-04-14353Prospects3Monster8WBoxScore
62 - 2021-04-16365Shokers7Monster4LBoxScore
64 - 2021-04-18375Monster5Monsters9LBoxScore
65 - 2021-04-19387Monster5Wildcats3WBoxScore
67 - 2021-04-21393Bolt9Monster4LBoxScore
68 - 2021-04-22407Monster6Les Restants7LBoxScore
70 - 2021-04-24414Dynamos3Monster5WBoxScore
71 - 2021-04-25430Monkeys 8Monster9WXBoxScore
73 - 2021-04-27441Monster5Monsters8LBoxScore
75 - 2021-04-29450Distraction9Monster5LBoxScore
76 - 2021-04-30462Monster5Bolt6LXBoxScore
78 - 2021-05-02475Vikings7Monster1LBoxScore
79 - 2021-05-03480Monster7Extreme9LBoxScore
81 - 2021-05-05495Extreme6Monster7WXBoxScore
82 - 2021-05-06507Monster6Bolt12LBoxScore
84 - 2021-05-08514Monster6Senators10LBoxScore
86 - 2021-05-10524Monster2L'Euphorie6LBoxScore
88 - 2021-05-12533Sharks4Monster6WBoxScore
90 - 2021-05-14546Intrepides1Monster8WBoxScore
91 - 2021-05-15561Monster1Shokers9LBoxScore
93 - 2021-05-17569Senators8Monster2LBoxScore
94 - 2021-05-18574Monster6Extreme7LBoxScore
95 - 2021-05-19593Destroyers-Monster-
97 - 2021-05-21604Les Restants-Monster-
99 - 2021-05-23616Monster-Sharks-
100 - 2021-05-24622Monster-Patriotes-
101 - 2021-05-25634Wildcats-Monster-
103 - 2021-05-27643Monster-Falcons-
105 - 2021-05-29654Patriotes-Monster-
107 - 2021-05-31670Monster-Destroyers-
108 - 2021-06-01679Sharks-Monster-
110 - 2021-06-03691Monster-Dynamos-
111 - 2021-06-04700Patriotes-Monster-
113 - 2021-06-06715L'Euphorie-Monster-
114 - 2021-06-07725Monster-Distraction-
116 - 2021-06-09738Warriors-Monster-
118 - 2021-06-11751Monster-Dynamos-
120 - 2021-06-13762Falcons-Monster-
121 - 2021-06-14768Monster-Shokers-
122 - 2021-06-15778Monster-Warriors-
123 - 2021-06-16789Guerriers du Nord-Monster-
Trade Deadline --- Trades can’t be done after this day is simulated!
125 - 2021-06-18798Monster-Distraction-
126 - 2021-06-19809Intrepides-Monster-
127 - 2021-06-20821Monster-Youngblood-
128 - 2021-06-21828Monster-Warriors-
129 - 2021-06-22836Vikings-Monster-
132 - 2021-06-25853Youngblood-Monster-
135 - 2021-06-28870Youngblood-Monster-
137 - 2021-06-30887Monster-Youngblood-
138 - 2021-07-01894Falcons-Monster-



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
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,873,041$ 2,286,512$ 2,286,512$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,466,830$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 46 20,654$ 950,084$




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
202054192705201308352-442691104101151164-1328101601100157188-31513085288360098100105621107756996271218505834018141715632.75%1629740.12%645296946.65%32473344.20%608122449.67%12868341117435850433
Total Regular Season54192705201308352-442691104101151164-1328101601100157188-31513085288360098100105621107756996271218505834018141715632.75%1629740.12%645296946.65%32473344.20%608122449.67%12868341117435850433
Playoff
2019404000001927-820200000913-4202000001014-401936550047809438263001615049578787.50%211338.10%1184440.91%437458.11%439545.26%754397396628
20191914500000124705410820000069323796300000553817281242123360023495117732342782574835277212260674059.70%763751.32%120737655.05%34061555.28%22840256.72%388248468168289131
2019404000001927-820200000913-4202000001014-401936550047809438263001615049578787.50%211338.10%1184440.91%437458.11%439545.26%754397396628
20191914500000124705410820000069323796300000553817281242123360023495117732342782574835277212260674059.70%763751.32%120737655.05%34061555.28%22840256.72%388248468168289131
Total Playoff462818000002861949224168000001569066221210000001301042656286496782005411211821734544608574819926545226341509462.67%19410048.45%445084053.57%766137855.59%54299454.53%9295851132414712319