Monsters

GP: 82 | W: 47 | L: 28 | OTL: 7 | P: 101
GF: 333 | GA: 292 | PP%: 22.34% | PK%: 80.17%
GM : Benoit Toupin | Morale : 50 | Team Overall : 48
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# 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
1Marcus KrugerX100.00604382745864715085505071486158050590
2Andrew DesjardinsXXX100.00645683666758664467424664445651050550
3Teemu PulkkinenXX100.00513583735756445236446060474338050540
4Adam Erne (R)XX100.00574384637456395060415852483734050520
5William Carrier (R)XX100.00844382607453444550424853483734050510
6Jeremy MorinXX100.00505074666246404336424559504441050500
7Julien Gauthier (R)X100.00505050508050505050505050503230050500
8Jerry D'AmigoX100.00433588657146313772353871453734050490
9Dominic Toninato (R)X100.00533586646949403957423559483532050480
10Nick Sorensen (R)X100.00473584685748334245503357473532050480
11Zach Senyshyn (R)X100.00475049496846464749474750483230050480
12Scott KosmachukX100.00453586705746313435373264463532050470
13Tanner Richard (R)X100.00513578706450333347333360473532050460
14Jakub KindlX100.00613579626658434235443965475548050560
15Erik BurgdoerferX100.00553595636854353335333265483734050520
16Rasmus RissanenX100.00513576577242293135313171453532050500
17Jeremy Roy (R)X100.00434545456442424345434345443230050450
18Mark CundariX100.00308535516229463135313155453734050440
Scratches
1Alexander KhokhlachevXX100.00453593735546313240323261523936050460
2Kasper Bjorkqvist (R)XX100.00434343436843434343434343433230050440
3Mario Lucia (R)XX100.00414545456139394145414145433230050430
4Adam Tambellini (R)XX100.00394343435137373943393943413230050410
5Maxim Kitsyn (R)X100.00333737376733333337333337353230050380
6Keaton Middleton (R)X100.00404040408140404040404040403230050430
7Reece Scarlett (R)X100.00333737375033333337333337353230050370
TEAM AVERAGE100.0049426757654741404640405545383505048
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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 zero or more non-space characters.
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Charlie Lindgren (R)100.0043459666415147405465703936050510
2Jean-Francois Berube100.0039457264384646374565454037050470
Scratches
1David Honzik (R)100.0041434179403939393939383230050430
TEAM AVERAGE100.004144707040454439465651373405047
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
# Player Name Team NamePOS 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
1Marcus KrugerMonsters (Clb)C8250651151146011426537111531313.48%43180722.041227398128300032764268.14%163200221.2726000944
2Teemu PulkkinenMonsters (Clb)LW/RW82524698311806913634910226914.90%16134416.39121022862700001168248.18%11000011.4611000768
3Andrew DesjardinsMonsters (Clb)C/LW/RW822556812568201071672296117710.92%21148418.10919286429210171753162.80%87900001.0915013178
4Pontus AbergColumbusLW/RW542840682980311001825715215.38%12100618.6458133816800031025246.77%6200011.3501000725
5Jakub KindlMonsters (Clb)D82115162146201308714252907.75%102187122.8351015592800110240300.00%000000.6600000303
6Dominic ToninatoMonsters (Clb)C82134558196125671371283910010.16%9128215.6441418332610000321055.02%142300000.9000112213
7Erik BurgdoerferMonsters (Clb)D821332451380726091415914.29%71161119.6591322432490000220110.00%000000.5600000033
8Jeremy MorinMonsters (Clb)LW/RW82212344-95220331091994913410.55%24100512.2700032000095053.19%4700000.8700301140
9William CarrierMonsters (Clb)LW/RW82162743-2960188721454110511.03%13121414.8114552101141412160.34%11600000.7100000222
10Adam ErneMonsters (Clb)LW/RW5321204112361030471383610115.22%780115.1225727148000053256.06%6600011.0201001132
11Rasmus RissanenMonsters (Clb)D82132336-43208659101376812.87%73154718.879615502320114194110.00%000000.4700000122
12Julien GauthierMonsters (Clb)RW8214203426359336113247412.39%06758.2410112000012050.00%3800011.0100001151
13Nick RitchieColumbusLW181414289280684279225717.72%641523.1033613600004530053.02%14900011.3502000512
14Nick SorensenMonsters (Clb)RW81101727-5160217111034839.09%135646.9724612810001131056.82%8800010.9600000101
15Alex BiegaColumbusD3661824050087497224648.33%4683723.274812481250002103210.00%000000.5700000121
16Vinnie HinostrozaColumbusC/LW/RW1481624196051438121921.05%421115.09112115000083042.86%1400002.2700000311
17Drew StaffordColumbusLW/RW20149239120195086256816.28%447223.6222411610003670152.03%27100010.9723000421
18Alexander KhokhlachevMonsters (Clb)C/LW47101121-150027471234814.08%1455311.7700002000042042.27%56300000.7601000001
19Jeremy RoyMonsters (Clb)D824162021113151382137182110.81%65127915.61044891000044100.00%000000.3100002020
20Zach SenyshynMonsters (Clb)RW817411-2001072841425.00%41321.633251738000012015.00%2000001.6600000010
21Keaton MiddletonMonsters (Clb)D50347934057582737.50%3380016.00000021000070110.00%000000.1700000011
22Jerry D'AmigoMonsters (Clb)LW3000-220034210.00%33511.840000000000000.00%000000.0000000000
23Mark CundariMonsters (Clb)D3000100400100.00%24214.280000300003000.00%000000.0000000000
24Reece ScarlettMonsters (Clb)D2000140300000.00%03517.810000500000000.00%000000.0000000000
25Scott KosmachukMonsters (Clb)RW1000000000000.00%033.480000000000000.00%000000.0000000000
26Tanner RichardMonsters (Clb)C2000-120061030.00%02412.2800000000000046.67%3000000.0000000000
Team Total or Average136735355791017384795143416172722821202712.97%5852106115.41841402246002719134321787501558.30%550800290.866204210494949
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Charlie LindgrenMonsters (Clb)82472570.8773.42466114226621670600.63219820314
2Jean-Francois BerubeMonsters (Clb)110300.8624.4229900221590300.0000082000
Team Total or Average93472870.8763.48496014228823260900.632198282314


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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
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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam ErneMonsters (Clb)LW/RW221995-04-20Yes214 Lbs6 ft1NoNoNo2RFAPro & Farm865,000$86,500$0$NoLink
Adam TambelliniMonsters (Clb)C/LW221994-11-01Yes169 Lbs6 ft2NoNoNo2RFAPro & Farm743,000$74,300$0$NoLink
Alexander KhokhlachevMonsters (Clb)C/LW241993-09-09No181 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$60,000$0$NoLink
Andrew DesjardinsMonsters (Clb)C/LW/RW311986-07-27No195 Lbs6 ft1NoNoNo2UFAPro & Farm850,000$85,000$0$NoLink
Charlie Lindgren (Out of Payroll)Monsters (Clb)G231993-12-18Yes182 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$YesLink
David HonzikMonsters (Clb)G241993-08-09Yes209 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
Dominic ToninatoMonsters (Clb)C231994-05-09Yes200 Lbs6 ft2NoNoNo2RFAPro & Farm525,000$52,500$0$NoLink
Erik BurgdoerferMonsters (Clb)D281988-12-11No207 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$50,000$0$NoLink
Jakub KindlMonsters (Clb)D301987-02-10No199 Lbs6 ft3NoNoNo1UFAPro & Farm1,200,000$120,000$0$NoLink
Jean-Francois BerubeMonsters (Clb)G261991-07-13No177 Lbs6 ft1NoNoNo2RFAPro & Farm575,000$57,500$0$NoLink
Jeremy MorinMonsters (Clb)LW/RW261991-04-16No189 Lbs6 ft1NoNoNo2RFAPro & Farm825,000$82,500$0$NoLink
Jeremy RoyMonsters (Clb)D201997-05-14Yes199 Lbs6 ft0NoNoNo3ELCPro & Farm825,000$82,500$0$NoLink
Jerry D'AmigoMonsters (Clb)LW261991-02-19No208 Lbs5 ft11NoNoNo2RFAPro & Farm550,000$55,000$0$NoLink
Julien GauthierMonsters (Clb)RW191997-10-15Yes225 Lbs6 ft4NoNoNo4ELCPro & Farm925,000$92,500$0$NoLink
Kasper BjorkqvistMonsters (Clb)LW/RW201997-07-10Yes198 Lbs6 ft1NoNoNo4ELCPro & Farm700,000$70,000$0$NoLink
Keaton MiddletonMonsters (Clb)D191998-02-10Yes235 Lbs6 ft5NoNoNo4ELCPro & Farm715,000$71,500$0$NoLink
Marcus KrugerMonsters (Clb)C271990-05-27No186 Lbs6 ft0NoNoNo1RFAPro & Farm1,000,000$100,000$0$NoLink
Mario LuciaMonsters (Clb)LW/RW231994-07-22Yes187 Lbs6 ft2NoNoNo2RFAPro & Farm825,000$82,500$0$NoLink
Mark CundariMonsters (Clb)D271990-04-23No195 Lbs5 ft9NoNoNo1RFAPro & Farm500,000$50,000$0$NoLink
Maxim KitsynMonsters (Clb)LW251991-12-24Yes194 Lbs6 ft2NoNoNo2RFAPro & Farm620,000$62,000$0$NoLink
Nick SorensenMonsters (Clb)RW221994-10-23Yes182 Lbs6 ft1NoNoNo2RFAPro & Farm792,000$79,200$0$NoLink
Rasmus RissanenMonsters (Clb)D261991-07-13No217 Lbs6 ft3NoNoNo1RFAPro & Farm650,000$65,000$0$NoLink
Reece ScarlettMonsters (Clb)D241993-03-31Yes168 Lbs6 ft1NoNoNo2RFAPro & Farm600,000$60,000$0$NoLink
Scott KosmachukMonsters (Clb)RW231994-01-24No185 Lbs5 ft11NoNoNo2RFAPro & Farm743,000$74,300$0$NoLink
Tanner RichardMonsters (Clb)C241993-04-06Yes192 Lbs6 ft0NoNoNo2RFAPro & Farm675,000$67,500$0$NoLink
Teemu PulkkinenMonsters (Clb)LW/RW251992-01-02No185 Lbs5 ft10NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
William CarrierMonsters (Clb)LW/RW221994-12-29Yes212 Lbs6 ft2NoNoNo2RFAPro & Farm640,000$64,000$0$NoLink
Zach SenyshynMonsters (Clb)RW201997-03-30Yes196 Lbs6 ft3NoNoNo3ELCPro & Farm895,000$89,500$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2823.96196 Lbs6 ft12.14737,964$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marcus Kruger40122
2William CarrierAndrew DesjardinsTeemu Pulkkinen30122
3Jeremy MorinDominic ToninatoJulien Gauthier20122
4Nick Sorensen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub Kindl40122
2Erik BurgdoerferRasmus Rissanen30122
3Jeremy Roy20122
4Jakub Kindl10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marcus KrugerAndrew Desjardins60122
2Dominic ToninatoTeemu Pulkkinen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub Kindl60122
2Erik BurgdoerferRasmus Rissanen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Marcus Kruger60122
2Andrew Desjardins40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub Kindl60122
2Erik BurgdoerferRasmus Rissanen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jakub Kindl60122
2Marcus Kruger40122Erik BurgdoerferRasmus Rissanen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Marcus Kruger60122
2Andrew Desjardins40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub Kindl60122
2Erik BurgdoerferRasmus Rissanen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Marcus KrugerAndrew DesjardinsJakub Kindl
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Marcus KrugerAndrew DesjardinsJakub Kindl
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Sorensen, Zach Senyshyn, William CarrierNick Sorensen, Zach SenyshynWilliam Carrier
Extra Defensemen
Normal PowerPlayPenalty Kill
Jeremy Roy, , Erik BurgdoerferJeremy Roy, Erik Burgdoerfer
Penalty Shots
, Marcus Kruger, Andrew Desjardins, , Teemu Pulkkinen
Goalie
#1 : Charlie Lindgren, #2 : Jean-Francois Berube


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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
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
1Admirals20200000610-41010000034-11010000036-300.0006915001359795106785991685846571616291100.00%6350.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
2Baby Hawks211000008711010000045-11100000042220.50081321001359795105285991685846471824418225.00%12466.67%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
3Bears4220000019190211000001011-12110000098140.50019325100135979510140859916858461334255712129.52%24675.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
4Bruins3210000012102220000009361010000037-440.6671217290013597951010385991685846681533529333.33%13469.23%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
5Cabaret Lady Mary Ann32001000171161100000073421001000108261.00017284500135979510132859916858469826206412216.67%10280.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
6Caroline42200000221572110000096321100000139440.500223961001359795101588599168584611927277218633.33%10280.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
7Chiefs21100000963110000007341010000023-120.50091524001359795105985991685846451224335240.00%12375.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
8Chill2010010057-21000010045-11010000012-110.2505813001359795104085991685846592120396116.67%10190.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
9Comets220000001147110000004311100000071641.00011193000135979510848599168584640726319333.33%13376.92%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
10Cougars303000001224-121010000037-420200000917-800.0001221330013597951098859916858469731365514321.43%18855.56%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
11Crunch311010001284210010009451010000034-140.6671220320013597951093859916858468136345812433.33%17194.12%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
12Heat210000017611000000145-11100000031230.75071320001359795106385991685846501543321218.33%12283.33%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
13Jayhawks2020000036-31010000023-11010000013-200.000369001359795105685991685846651625325120.00%7271.43%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
14Las Vegas220000001165110000005321100000063341.0001118290013597951056859916858465718413113430.77%13376.92%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
15Manchots4310000012102220000008622110000044060.75012203200135979510124859916858461103242791616.25%200100.00%11393248556.06%1322237755.62%806144055.97%2054141518246141086548
16Marlies302000011013-320100001810-21010000023-110.1671014240013597951077859916858469520376618527.78%10280.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
17Minnesota2100100013103100010006511100000075241.000132033001359795106185991685846611423427114.29%9277.78%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
18Monarchs210000101073110000005321000001054141.0001017270013597951070859916858468121204910220.00%10370.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
19Monsters21000100871110000004221000010045-130.75081422001359795105685991685846681322338225.00%11190.91%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
20Oceanics20200000412-81010000015-41010000037-400.000471100135979510458599168584675213028500.00%7357.14%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
21Oil Kings22000000817110000005141100000030341.00081624011359795106385991685846541718337228.57%8187.50%11393248556.06%1322237755.62%806144055.97%2054141518246141086548
22Phantoms44000000191272200000010642200000096381.00019294800135979510129859916858466720388617741.18%19289.47%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
23Rocket321000001082220000008531010000023-140.667101424001359795109685991685846536165314321.43%80100.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
24Senators3210000012102110000004312110000087140.6671220320013597951095859916858466613435013538.46%19289.47%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
25Sharks20100001610-41010000036-31000000134-110.25061117001359795108685991685846972412386116.67%6266.67%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
26Sound Tigers430001001587220000008352100010075270.875152641011359795101108599168584611219275531722.58%11190.91%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
27Spiders412000011217-52110000068-22010000169-330.375122234001359795101108599168584611430406121628.57%20575.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
28Stars2010001045-11010000024-21000001021120.500448001359795105685991685846411422348112.50%6183.33%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
29Thunder31101000981100010002112110000077040.667915240013597951080859916858467525165516212.50%8275.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
Total824128043243332924141241103102174142324117170122215915091010.61633355688902135979510265985991685846232662785814793678222.34%3587180.17%21393248556.06%1322237755.62%806144055.97%2054141518246141086548
31Wolf Pack4400000027151222000000149522000000136781.000274976001359795102008599168584614138287715320.00%90100.00%01393248556.06%1322237755.62%806144055.97%2054141518246141086548
_Since Last GM Reset824128043243332924141241103102174142324117170122215915091010.61633355688902135979510265985991685846232662785814793678222.34%3587180.17%21393248556.06%1322237755.62%806144055.97%2054141518246141086548
_Vs Conference4623160121317816810231460110195831223910001128385-2550.5981782964740113597951014768599168584613503574578352154520.93%1923681.25%11393248556.06%1322237755.62%806144055.97%2054141518246141086548
_Vs Division28122001011269630147100000654916145100101614714260.46412621734301135979510971859916858467962082575011393223.02%1131685.84%11393248556.06%1322237755.62%806144055.97%2054141518246141086548

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82101L133355688926592326627858147902
All Games
GPWLOTWOTL SOWSOLGFGA
8241284324333292
Home Games
GPWLOTWOTL SOWSOLGFGA
4124113102174142
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4117171222159150
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3678222.34%3587180.17%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
85991685846135979510
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1393248556.06%1322237755.62%806144055.97%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2054141518246141086548


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2018-10-0410Monsters2Cougars9LBoxScore
3 - 2018-10-0515Caroline4Monsters3LBoxScore
7 - 2018-10-0938Monsters2Monsters4WBoxScore
9 - 2018-10-1147Monsters6Cabaret Lady Mary Ann5WXBoxScore
11 - 2018-10-1363Monsters5Thunder4WBoxScore
16 - 2018-10-1892Phantoms2Monsters5WBoxScore
18 - 2018-10-20109Baby Hawks5Monsters4LBoxScore
21 - 2018-10-23123Jayhawks3Monsters2LBoxScore
23 - 2018-10-25137Monsters2Chiefs3LBoxScore
25 - 2018-10-27154Crunch3Monsters4WXBoxScore
28 - 2018-10-30170Cougars7Monsters3LBoxScore
30 - 2018-11-01191Monsters3Sharks4LXXBoxScore
32 - 2018-11-03205Monsters5Monarchs4WXXBoxScore
33 - 2018-11-04209Monsters3Admirals6LBoxScore
35 - 2018-11-06217Stars4Monsters2LBoxScore
38 - 2018-11-09237Monsters5Bears3WBoxScore
39 - 2018-11-10251Wolf Pack2Monsters5WBoxScore
41 - 2018-11-12262Monsters2Stars1WXXBoxScore
44 - 2018-11-15280Cabaret Lady Mary Ann3Monsters7WBoxScore
46 - 2018-11-17298Monsters4Caroline5LBoxScore
48 - 2018-11-19308Monsters2Marlies3LBoxScore
52 - 2018-11-23339Marlies5Monsters4LBoxScore
53 - 2018-11-24354Monsters2Manchots1WBoxScore
55 - 2018-11-26366Monsters7Cougars8LBoxScore
58 - 2018-11-29383Minnesota5Monsters6WXBoxScore
60 - 2018-12-01402Monsters4Sound Tigers1WBoxScore
63 - 2018-12-04420Heat5Monsters4LXXBoxScore
65 - 2018-12-06431Monsters4Phantoms2WBoxScore
67 - 2018-12-08451Bears5Monsters6WBoxScore
70 - 2018-12-11469Comets3Monsters4WBoxScore
72 - 2018-12-13480Monarchs3Monsters5WBoxScore
74 - 2018-12-15501Admirals4Monsters3LBoxScore
76 - 2018-12-17513Las Vegas3Monsters5WBoxScore
79 - 2018-12-20535Spiders5Monsters2LBoxScore
81 - 2018-12-22546Monsters5Phantoms4WBoxScore
82 - 2018-12-23559Monsters3Spiders4LXXBoxScore
86 - 2018-12-27568Monsters5Wolf Pack2WBoxScore
87 - 2018-12-28582Marlies5Monsters4LXXBoxScore
90 - 2018-12-31605Senators3Monsters4WBoxScore
94 - 2019-01-04631Monsters9Caroline4WBoxScore
95 - 2019-01-05641Monsters4Cabaret Lady Mary Ann3WBoxScore
98 - 2019-01-08663Monsters2Thunder3LBoxScore
100 - 2019-01-10675Chill5Monsters4LXBoxScore
102 - 2019-01-12692Monsters4Bears5LBoxScore
103 - 2019-01-13701Wolf Pack7Monsters9WBoxScore
105 - 2019-01-15713Spiders3Monsters4WBoxScore
108 - 2019-01-18734Rocket2Monsters4WBoxScore
109 - 2019-01-19748Monsters7Minnesota5WBoxScore
119 - 2019-01-29775Crunch1Monsters5WBoxScore
121 - 2019-01-31780Monsters3Oceanics7LBoxScore
123 - 2019-02-02797Chiefs3Monsters7WBoxScore
126 - 2019-02-05819Monsters4Monsters5LXBoxScore
128 - 2019-02-07836Monsters1Jayhawks3LBoxScore
130 - 2019-02-09851Monsters6Las Vegas3WBoxScore
133 - 2019-02-12866Bears6Monsters4LBoxScore
135 - 2019-02-14878Sound Tigers0Monsters4WBoxScore
137 - 2019-02-16900Monsters4Baby Hawks2WBoxScore
139 - 2019-02-18911Thunder1Monsters2WXBoxScore
140 - 2019-02-19920Monsters2Rocket3LBoxScore
143 - 2019-02-22940Monsters5Senators2WBoxScore
144 - 2019-02-23950Sharks6Monsters3LBoxScore
147 - 2019-02-26973Manchots2Monsters3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2019-02-28986Phantoms4Monsters5WBoxScore
151 - 2019-03-02999Oil Kings1Monsters5WBoxScore
152 - 2019-03-031014Oceanics5Monsters1LBoxScore
154 - 2019-03-051020Monsters3Spiders5LBoxScore
156 - 2019-03-071034Monsters2Manchots3LBoxScore
158 - 2019-03-091055Manchots4Monsters5WBoxScore
160 - 2019-03-111066Monsters3Sound Tigers4LXBoxScore
161 - 2019-03-121074Bruins2Monsters3WBoxScore
164 - 2019-03-151094Caroline2Monsters6WBoxScore
165 - 2019-03-161103Monsters3Bruins7LBoxScore
168 - 2019-03-191131Monsters3Heat1WBoxScore
170 - 2019-03-211145Monsters3Oil Kings0WBoxScore
173 - 2019-03-241168Monsters7Comets1WBoxScore
175 - 2019-03-261179Sound Tigers3Monsters4WBoxScore
177 - 2019-03-281191Rocket3Monsters4WBoxScore
179 - 2019-03-301210Monsters1Chill2LBoxScore
180 - 2019-03-311218Monsters3Crunch4LBoxScore
182 - 2019-04-021230Bruins1Monsters6WBoxScore
185 - 2019-04-051254Monsters8Wolf Pack4WBoxScore
186 - 2019-04-061260Monsters3Senators5LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance62,21930,523
Attendance PCT75.88%74.45%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2262 - 75.40% 64,281$2,635,510$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,239,865$ 2,066,300$ 2,066,300$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,555$ 2,147,344$ 27 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,050$ 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
20188241280432433329241412411031021741423241171701222159150910133355688902135979510265985991685846232662785814793678222.34%3587180.17%21393248556.06%1322237755.62%806144055.97%2054141518246141086548
Total Regular Season8241280432433329241412411031021741423241171701222159150910133355688902135979510265985991685846232662785814793678222.34%3587180.17%21393248556.06%1322237755.62%806144055.97%2054141518246141086548