Moose
GP: 82 | W: 55 | L: 22 | OTL: 5 | P: 115
GF: 205 | GA: 141 | PP%: 13.86% | PK%: 89.14%
GM : Emmanuel Rheault | Morale : 50 | Team Overall : N/A
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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 SPAgeContractSalary
1Andrew CoglianoXX100.007843869163629061416356807286896740003311,000,000$
2Antoine RousselX100.007657718172617168456270587572736847003011,000,000$
3Brad RichardsonXX100.007844898070658058915859922580836846003511,250,000$
4Brandon SutterXX100.006355837773685665786571886378807233003111,250,001$
5Mattias JanmarkXX100.00634293827268896442695974256566675000272800,000$
6Jason SpezzaXX100.005942907079578467827370647188927015003731,950,000$
7Jujhar KhairaXX100.008666837881637960515659822561616610002511,200,000$
8Kyle TurrisX100.006141898271707676757768646676797012003011,000,000$
9Joel L'EsperanceXX100.00777581777579846278536765644545685000242722,500$
10Markus GranlundXXX100.00634187826757836344535979726566645000271900,000$
11Mason AppletonXX100.00634287807258806036576071255555645000242758,333$
12Pat MaroonXX100.008193707486628671566766622572766834003211,000,000$
13Dryden HuntXX100.00834569727156866225655570455858645000242715,000$
14Jayce HawrylukXX100.00904582676758546136726261255757661200243899,125$
15Brendan SmithXX100.008093697680568057254748772572746050003111,000,000$
16Dmitry KulikovX100.008545828074807161255248772577786350002911,000,000$
17Erik GudbransonX100.008286517686788162254949867572736350002811,062,500$
18Johnny BoychukX100.008646927482728659255148822577836450003611,006,250$
19Marc StaalX100.007845907878728358255248872581866473003312,000,000$
20Shayne GostisbehereX100.006141858666757880255253614565666348002711,000,000$
Scratches
1JC LiponX100.00646756666774785950565859554747605000264700,000$
2Daniel CarrXX100.00734388787056755325505957755959611700282750,000$
3Chase De LeoX100.00736590626573776075565865555454625000243650,000$
4Rasmus Kupari (R)X100.007569896569555653664358625544445950002031,081,667$
5Sami NikuX100.00734380756669616125634766254848615000231916,666$
6Michael StoneX100.008145857679695452255148762568696150003011,000,000$
7Scott HarringtonX100.00774487707663735925534872256061605000272675,000$
8Conor Timmins (R)X100.00716974656949475725584161394444555000213925,000$
TEAM AVERAGE100.0074558176736575624558577145656764420
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Devan Dubnyk100.005781809059555458595772727360500
2Jonathan Quick100.0071777780727065747371957681721800
Scratches
1Keith Kinkaid100.0051627879475150564848306060524400
2Eric Comrie100.0062658165626757666463304444635200
TEAM AVERAGE100.006071797960615764616057636562300
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alain Vigneault78767983878159CAN6133,500,000$


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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
1Mattias JanmarkMoose (WPG)C/LW822222441814015137116288118.97%13140117.1049131818910142543545.93%126500000.63511000642
2Brandon SutterMoose (WPG)C/RW411622382127152476102294515.69%1078719.20410143119401141362362.50%49600000.9723012614
3Erik GudbransonMoose (WPG)D82142135161842017174118216211.86%73172321.0112921863620002335520.00%000000.4102211334
4Dmitry KulikovMoose (WPG)D82430341566067566318416.35%58174321.2741317493400000347110.00%000000.3900000023
5Kyle TurrisMoose (WPG)C301023331320125861184116.39%165021.68611171715320251621063.48%81600001.0102000432
6Markus GranlundMoose (WPG)C/LW/RW8282533133202810011728816.84%10131816.0859143332400031080046.96%23000000.5028000123
7Antoine RousselMoose (WPG)LW811714311381513070110478915.45%6143917.775491720800042664046.39%16600000.43310001433
8Jason SpezzaMoose (WPG)C/RW621316293140219088218614.77%1119219.2349132027810122243168.05%55400000.4914000322
9Johnny BoychukMoose (WPG)D8292029158951125479293911.39%61179121.845611563860221386300.00%000000.3200001033
10Dryden HuntMoose (WPG)LW/RW821216281011351137072226616.67%5105312.8525715140000092235.71%5600000.5301010216
11Andrew CoglianoMoose (WPG)LW/RW318162411300675255113814.55%662820.2867132315500071415050.00%5200000.7602000242
12Joel L'EsperanceMoose (WPG)C/RW82715221053574918920787.87%6119514.581341715700011242058.96%57500100.3712010224
13Brad RichardsonMoose (WPG)C/LW44911209300507860174915.00%869315.770441711911221004066.75%40600000.5823000241
14Michael StoneMoose (WPG)D7331518227006441951333.33%44104914.372135180110107100.00%000000.3400000121
15Brendan SmithMoose (WPG)LW/D74510151815115131353481314.71%30103814.0310172801101042040.00%500000.2900030021
16Mason AppletonMoose (WPG)C/RW826915-4805728524437.06%17559.21055161220000201041.86%21500000.4000000101
17Jujhar KhairaMoose (WPG)C/LW4176131038046513482220.59%23959.65022220000191250.00%16600000.6600000311
18Marc StaalMoose (WPG)D225494120301923101921.74%1550322.88325161190000103100.00%000000.3600000111
19Pat MaroonMoose (WPG)LW/RW17459431550112451816.67%025715.152351286000001041.67%1200000.7000001201
20Chase De LeoMoose (WPG)C52156-11001724276163.70%53957.610002250000330055.62%17800000.3000000000
21Jayce HawrylukMoose (WPG)C/RW37246-112405744214229.52%040510.952247940000780035.92%42600000.3000000100
22JC LiponMoose (WPG)RW28235014024142610117.69%137813.51000170001342048.84%4300000.2600000020
23Scott HarringtonMoose (WPG)D47134-1200161431333.33%84088.680000800004300100.00%100000.2000000010
24Daniel CarrMoose (WPG)LW/RW171231206612168.33%022313.15112322000060035.29%1700000.2700000100
25Sami NikuMoose (WPG)D200332401190110.00%821310.6700002000020000.00%000000.2800000000
26Conor TimminsMoose (WPG)D15022220830010.00%4805.340000000004000.00%000000.5000000000
27Rasmus KupariMoose (WPG)C33022320552220.00%11293.910110360000220052.46%6100000.3100000000
28Tyler MotteJetsLW/RW5101-12008671314.29%19519.030003210001150025.00%400000.2100000000
29Shayne GostisbehereMoose (WPG)D1000100021020.00%01414.780000000000000.00%000000.0000000000
Team Total or Average142718732451121611437513621362143839599113.00%3782196215.396911618547336255611383207441654.32%574400100.471648276454345
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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
1Jonathan QuickMoose (WPG)1814400.9141.22108305222560110.8005180012
2Anders NilssonJets44000.8652.502400010740000.000047000
3Devan DubnykMoose (WPG)11000.9092.0060002220000.000013000
4Eric ComrieMoose (WPG)30001.0000.0047000220000.0000053000
Team Total or Average2619400.9091.43143105343740110.80052363012


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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 Age Birthday Rookie Weight Height No Trade Available For Trade 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
Andrew CoglianoMoose (WPG)LW/RW331987-06-14No177 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Antoine RousselMoose (WPG)LW301989-11-20No195 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Brad RichardsonMoose (WPG)C/LW351985-02-03No190 Lbs6 ft0NoNoNo1Pro & Farm1,250,000$10,081$1,250,000$10,081$0$0$NoLink
Brandon SutterMoose (WPG)C/RW311989-02-14No191 Lbs6 ft3NoNoNo1Pro & Farm1,250,001$10,081$1,000,000$8,065$0$0$NoLink
Brendan SmithMoose (WPG)LW/D311989-02-07No211 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Chase De LeoMoose (WPG)C241995-10-25No185 Lbs5 ft9NoNoNo3Pro & Farm650,000$5,242$650,000$5,242$0$0$No650,000$650,000$Link
Conor TimminsMoose (WPG)D211998-09-18Yes184 Lbs6 ft2NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Daniel CarrMoose (WPG)LW/RW281991-11-01No193 Lbs6 ft0NoNoNo2Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$Link
Devan DubnykMoose (WPG)G341986-05-03No218 Lbs6 ft6NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Dmitry KulikovMoose (WPG)D291990-10-29No204 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Dryden HuntMoose (WPG)LW/RW241995-11-24No197 Lbs6 ft0NoNoNo2Pro & Farm715,000$5,766$715,000$5,766$0$0$No715,000$Link
Eric ComrieMoose (WPG)G241995-07-05No175 Lbs6 ft1NoNoNo3Pro & Farm650,000$5,242$650,000$5,242$0$0$No650,000$650,000$Link
Erik GudbransonMoose (WPG)D281992-01-07No220 Lbs6 ft5NoNoNo1Pro & Farm1,062,500$8,569$1,000,000$8,065$0$0$NoLink
JC LiponMoose (WPG)RW261993-07-10No183 Lbs6 ft0NoNoNo4Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$700,000$Link
Jason SpezzaMoose (WPG)C/RW371983-06-13No214 Lbs6 ft3NoNoNo3Pro & Farm1,950,000$15,726$700,000$5,645$0$0$No700,000$700,000$Link
Jayce HawrylukMoose (WPG)C/RW241996-01-01No186 Lbs5 ft11NoNoNo3Pro & Farm899,125$7,251$874,125$7,049$0$0$No874,125$874,125$Link
Joel L'EsperanceMoose (WPG)C/RW241995-08-18No201 Lbs6 ft2NoNoNo2Pro & Farm722,500$5,827$722,500$5,827$0$0$No722,500$Link
Johnny BoychukMoose (WPG)D361984-01-19No227 Lbs6 ft2NoNoNo1Pro & Farm1,006,250$8,115$1,000,000$8,065$0$0$NoLink
Jonathan QuickMoose (WPG)G341986-01-20No218 Lbs6 ft1NoNoNo1Pro & Farm2,250,000$18,145$1,000,000$8,065$0$0$NoLink
Jujhar KhairaMoose (WPG)C/LW251994-08-13No214 Lbs6 ft4NoNoNo1Pro & Farm1,200,000$9,677$1,200,000$9,677$0$0$NoLink
Keith KinkaidMoose (WPG)G301989-07-03No195 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$10,081$1,250,000$10,081$0$0$NoLink
Kyle TurrisMoose (WPG)C301989-08-14No190 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Marc StaalMoose (WPG)D331987-01-12No209 Lbs6 ft4NoNoNo1Pro & Farm2,000,000$16,129$2,000,000$16,129$0$0$NoLink
Markus GranlundMoose (WPG)C/LW/RW271993-04-15No183 Lbs6 ft0NoNoNo1Pro & Farm900,000$7,258$900,000$7,258$0$0$NoLink
Mason AppletonMoose (WPG)C/RW241996-01-15No193 Lbs6 ft2NoNoNo2Pro & Farm758,333$6,116$758,333$6,116$0$0$No758,333$Link
Mattias JanmarkMoose (WPG)C/LW271992-12-08No196 Lbs6 ft1NoNoNo2Pro & Farm800,000$6,452$800,000$6,452$0$0$No800,000$Link
Michael StoneMoose (WPG)D301990-06-06No210 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Pat MaroonMoose (WPG)LW/RW321988-04-22No225 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Rasmus KupariMoose (WPG)C202000-03-15Yes185 Lbs6 ft1NoNoNo3Pro & Farm1,081,667$8,723$1,081,667$8,723$0$0$No1,081,667$1,081,667$
Sami NikuMoose (WPG)D231996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm916,666$7,392$450,000$3,629$0$0$NoLink
Scott HarringtonMoose (WPG)D271993-03-10No207 Lbs6 ft2NoNoNo2Pro & Farm675,000$5,444$675,000$5,444$0$0$No675,000$Link
Shayne GostisbehereMoose (WPG)D271993-04-19No180 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3228.38198 Lbs6 ft11.661,042,564$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew CoglianoKyle TurrisBrandon Sutter35122
2Pat MaroonJason SpezzaMarkus Granlund30122
3Antoine RousselBrad RichardsonDryden Hunt25122
4Jujhar KhairaMattias JanmarkJoel L'Esperance10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalJohnny Boychuk35122
2Erik GudbransonDmitry Kulikov30122
3Shayne GostisbehereBrendan Smith25122
4Marc StaalJohnny Boychuk10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew CoglianoKyle TurrisBrandon Sutter60122
2Pat MaroonJason SpezzaMarkus Granlund40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalJohnny Boychuk60122
2Erik GudbransonDmitry Kulikov40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle TurrisAndrew Cogliano60122
2Jason SpezzaBrandon Sutter40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalJohnny Boychuk60122
2Erik GudbransonDmitry Kulikov40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kyle Turris60122Marc StaalJohnny Boychuk60122
2Andrew Cogliano40122Erik GudbransonDmitry Kulikov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kyle TurrisAndrew Cogliano60122
2Jason SpezzaBrandon Sutter40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc StaalJohnny Boychuk60122
2Erik GudbransonDmitry Kulikov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andrew CoglianoKyle TurrisJason SpezzaMarc StaalJohnny Boychuk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Andrew CoglianoKyle TurrisJason SpezzaMarc StaalJohnny Boychuk
Extra Forwards
Normal PowerPlayPenalty Kill
Mason Appleton, Jayce Hawryluk, Brad RichardsonMason Appleton, Jayce HawrylukBrad Richardson
Extra Defensemen
Normal PowerPlayPenalty Kill
Shayne Gostisbehere, Brendan Smith, Erik GudbransonShayne GostisbehereBrendan Smith, Erik Gudbranson
Penalty Shots
Kyle Turris, Andrew Cogliano, Jason Spezza, Brandon Sutter, Pat Maroon
Goalie
#1 : Jonathan Quick, #2 : Devan Dubnyk


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Admirals85200010211011412000108804400000013211120.7502136570373655818153540501474721163815514255610.91%42392.86%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
2Bruins22000000752110000004311100000032141.00071320007365581832540501474723411774410220.00%19194.74%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
3Condors85300000221394130000057-24400000017611100.62522355701736558181725405014747210435123130641421.88%55885.45%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
4Crunch320000101055220000006241000001043161.000101626007365581859540501474726223566919315.79%28292.86%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
5Flames8320002116142411000209634210000178-1110.688162238007365581813154050147472149571281594149.76%62788.71%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
6Griffins22000000404110000002021100000020241.0004812027365581849540501474722810144518316.67%70100.00%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
7IceHogs32000001945110000003032100000164250.83391625027365581849540501474723911414717741.18%17194.12%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
8Marlies21000001550110000002111000000134-130.750510150073655818545405014747238922401218.33%11372.73%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
9Monarchs85200010171344220000089-143000010945120.7501726430173655818160540501474721123711111860610.00%49491.84%21301230956.34%1167213654.63%608112753.95%2142148218206071024537
10Monsters20000020532100000102111000001032141.0005510007365581842540501474723185340900.00%11190.91%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
11Penguins2020000025-31010000013-21010000012-100.00024610736558183254050147472288224620210.00%9188.89%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
12Phantoms21000010734110000003031000001043141.0007121901736558183154050147472281630371317.69%14192.86%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
13Rampage320000011064110000004222100000164250.833101727007365581872540501474726430385616318.75%18288.89%11301230956.34%1167213654.63%608112753.95%2142148218206071024537
14Rocket22000000413110000003121100000010141.00047110173655818385405014747220626411516.67%80100.00%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
15Senators3120000078-11010000023-12110000055020.3337132000736558186354050147472511246591516.67%20575.00%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
16Sharks843000011719-24210000178-1422000001011-190.5631730470073655818131540501474721423012212932618.75%54983.33%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
17Soldiers330000001411322000000120121100000021161.00014243802736558186454050147472419435621314.29%19194.74%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
18Sound Tigers3120000079-2211000005501010000024-220.3337121900736558184654050147472621146681500.00%23291.30%11301230956.34%1167213654.63%608112753.95%2142148218206071024537
19Stars5410000015873300000010552110000053280.800152540017365581875540501474728929789924520.83%35294.29%11301230956.34%1167213654.63%608112753.95%2142148218206071024537
20Wolf Pack2020000015-41010000014-31010000001-100.0001230073655818335405014747233132439800.00%12283.33%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
21Wolves311010005411010000001-12100100053240.667581300736558185054050147472541744591417.14%21385.71%01301230956.34%1167213654.63%608112753.95%2142148218206071024537
Total824622010852051416441221400041976928412480104410872361150.701205341546114736558181536540501474721325420129915234986913.86%5345889.14%51301230956.34%1167213654.63%608112753.95%2142148218206071024537
_Since Last GM Reset824622010852051416441221400041976928412480104410872361150.701205341546114736558181536540501474721325420129915234986913.86%5345889.14%51301230956.34%1167213654.63%608112753.95%2142148218206071024537
_Vs Conference543414010231418754271510000116445192719401012774235770.713141237378012736558181021540501474728512578159493365416.07%3403589.71%51301230956.34%1167213654.63%608112753.95%2142148218206071024537
_Vs Division402012000219369242079000113738-12013300010563125450.563931492420573655818747540501474726231976396782523614.29%2623188.17%21301230956.34%1167213654.63%608112753.95%2142148218206071024537

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82115W32053415461536132542012991523114
All Games
GPWLOTWOTL SOWSOLGFGA
8246221085205141
Home Games
GPWLOTWOTL SOWSOLGFGA
41221400419769
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41248104410872
Last 10 Games
WLOTWOTL SOWSOL
910000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4986913.86%5345889.14%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5405014747273655818
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1301230956.34%1167213654.63%608112753.95%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2142148218206071024537


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-09-272Flames1Moose2WXXBoxScore
2 - 2020-09-2820Moose4Condors2WBoxScore
4 - 2020-09-3033Monarchs2Moose3WBoxScore
5 - 2020-10-0141Moose2Sharks4LBoxScore
6 - 2020-10-0252Admirals3Moose4WXXBoxScore
8 - 2020-10-0462Admirals2Moose1LBoxScore
10 - 2020-10-0672Moose0Sharks1LBoxScore
12 - 2020-10-0879Moose3Admirals2WBoxScore
14 - 2020-10-1092Condors2Moose1LBoxScore
17 - 2020-10-13107Moose2Admirals0WBoxScore
18 - 2020-10-14115Sharks3Moose1LBoxScore
20 - 2020-10-16127Moose2Monarchs1WBoxScore
22 - 2020-10-18144Condors2Moose0LBoxScore
23 - 2020-10-19147Moose1Flames3LBoxScore
24 - 2020-10-20160Flames2Moose3WXXBoxScore
25 - 2020-10-21171Moose2Stars3LBoxScore
26 - 2020-10-22179Moose1Monarchs0WBoxScore
28 - 2020-10-24187Soldiers0Moose5WBoxScore
30 - 2020-10-26199Moose3IceHogs4LXXBoxScore
32 - 2020-10-28213Condors2Moose1LBoxScore
34 - 2020-10-30225Moose2Sound Tigers4LBoxScore
36 - 2020-11-01236Moose3Marlies4LXXBoxScore
38 - 2020-11-03243Stars1Moose2WBoxScore
40 - 2020-11-05257Moose1Rampage2LXXBoxScore
42 - 2020-11-07264Griffins0Moose2WBoxScore
44 - 2020-11-09276Stars2Moose3WBoxScore
45 - 2020-11-10291Moose1Penguins2LBoxScore
46 - 2020-11-11296Moose3Wolves2WXBoxScore
47 - 2020-11-12305Admirals2Moose1LBoxScore
49 - 2020-11-14321Moose5Senators1WBoxScore
50 - 2020-11-15328Crunch1Moose3WBoxScore
51 - 2020-11-16339Sound Tigers2Moose1LBoxScore
53 - 2020-11-18354Moose4Crunch3WXXBoxScore
54 - 2020-11-19365Moose4Sharks3WBoxScore
55 - 2020-11-20372Sharks2Moose1LXXBoxScore
56 - 2020-11-21382Moose2Monarchs1WXXBoxScore
57 - 2020-11-22394Flames2Moose1LBoxScore
58 - 2020-11-23406Flames1Moose3WBoxScore
60 - 2020-11-25416Moose1Flames2LXXBoxScore
61 - 2020-11-26425Moose2Condors0WBoxScore
63 - 2020-11-28438Monarchs2Moose0LBoxScore
65 - 2020-11-30452Soldiers0Moose7WBoxScore
66 - 2020-12-01464Moose3Monsters2WXXBoxScore
67 - 2020-12-02474Moose5Rampage2WBoxScore
68 - 2020-12-03481Condors1Moose3WBoxScore
70 - 2020-12-05496Sharks2Moose3WBoxScore
71 - 2020-12-06507Sharks1Moose2WBoxScore
73 - 2020-12-08520Moose3Bruins2WBoxScore
75 - 2020-12-10531Moose2Flames1WBoxScore
76 - 2020-12-11540Moose4Monarchs2WBoxScore
77 - 2020-12-12548Moose3Flames2WBoxScore
78 - 2020-12-13553Wolf Pack4Moose1LBoxScore
79 - 2020-12-14567Monsters1Moose2WXXBoxScore
81 - 2020-12-16580Moose2Griffins0WBoxScore
82 - 2020-12-17588Admirals1Moose2WBoxScore
84 - 2020-12-19602Phantoms0Moose3WBoxScore
86 - 2020-12-21612Moose0Senators4LBoxScore
87 - 2020-12-22625Moose4Admirals0WBoxScore
88 - 2020-12-23635Senators3Moose2LBoxScore
91 - 2020-12-26647Moose2Wolves1WBoxScore
92 - 2020-12-27657Rampage2Moose4WBoxScore
93 - 2020-12-28666Moose4Phantoms3WXXBoxScore
94 - 2020-12-29678Marlies1Moose2WBoxScore
96 - 2020-12-31694Moose0Wolf Pack1LBoxScore
97 - 2021-01-01702Monarchs2Moose1LBoxScore
98 - 2021-01-02716Moose3Stars0WBoxScore
99 - 2021-01-03723Wolves1Moose0LBoxScore
101 - 2021-01-05736Moose3IceHogs0WBoxScore
102 - 2021-01-06743Moose1Rocket0WBoxScore
103 - 2021-01-07751Bruins3Moose4WBoxScore
105 - 2021-01-09768IceHogs0Moose3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
106 - 2021-01-10782Sound Tigers3Moose4WBoxScore
108 - 2021-01-12795Moose2Soldiers1WBoxScore
109 - 2021-01-13807Crunch1Moose3WBoxScore
111 - 2021-01-15820Monarchs3Moose4WBoxScore
113 - 2021-01-17835Moose4Sharks3WBoxScore
114 - 2021-01-18842Moose5Condors3WBoxScore
115 - 2021-01-19846Stars2Moose5WBoxScore
117 - 2021-01-21865Penguins3Moose1LBoxScore
118 - 2021-01-22873Moose4Admirals0WBoxScore
120 - 2021-01-24884Moose6Condors1WBoxScore
122 - 2021-01-26899Rocket1Moose3WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
6,330,669$ 3,336,205$ 3,005,163$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,858,906$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 55,131$ 55,131$




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