Moose
GP: 80 | W: 42 | L: 32 | OTL: 6 | P: 90
GF: 309 | GA: 312 | PP%: 19.17% | PK%: 78.06%
GM : Pascal Verret | Morale : 46 | Team Overall : 62
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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
1Dwight KingX100.008131727680738573677675616863513233710261950,000$
2Iiro Pakarinen (R) (C)X100.007234697469767274777773596761604136700242625,000$
3Jordan Martinook (R) (A)X100.008355727579727774607370655849475061700232800,000$
4Vince Hinostroza (R)X100.007030767273598173577074695744435544680212600,000$
5Frank Vatrano (R)X100.008845657473617673577163656146466745670212500,000$
6Nikolaj Ehlers (R)X100.005930827065747471838668506246417072670191500,000$
7Cedric Paquette (R)X100.008664826177578372606464566245445044650222750,000$
8Nicolas Petan (R)X100.006136786562696368807463525742426233640202500,000$
9Dominik Kahun (R)X100.005030776252716969827964495545426866630202500,000$
10Brendan Perlini (R)X100.006122787073646962586079496842416634630191500,000$
11Oskar Lindblom (R)X100.006641756357646366706067496641416818610191500,000$
12Mitchell Stephens (R)X100.004523876663746043666053574240407619570182500,000$
13Troy Stetcher (R)X100.006132728665517381388653694746436153680212500,000$
14Vladislav Gavrikov (R)X100.006445815865676363507157705444446444650202500,000$
15Ludwig Bystrom (R)X100.006523737565626872426751715044435066650212500,000$
16Matthew Benning (R)X100.006222786361665958426554674943435522620212400,000$
17Alexandre Carrier (R)X100.004531777355526676336860674343417166610192500,000$
18Jesse Graham (R)X100.005337677562536465436456674443435018610211600,000$
Scratches
1Nathan Walker (R) (A)X94.966531687564746576687068587343466060660211500,000$
2Nikolay Goldobin (R)X100.005737787162614977586565627641416738640191500,000$
3Nicklas Jensen (R)X100.005951776364667069666563546244445118630222550,000$
4Mackenzie MacEachern (R)X100.005629686656665874665968507343434517610211350,000$
5Jeremy Bracco (R)X100.005330706149626868807663395240407117600182500,000$
6Colin White (R)X100.005624816166726046566244575540407020570182500,000$
7John Hayden (R)X100.005740765960666157656157475342425520570201350,000$
8Jayce Hawryluk (R)X100.007345576261506853425552524341416020540191500,000$
9David Kase (R)X100.005928575552546154575359415840406220530182500,000$
10Jansen Harkins (R)X100.004527655043424753595157393740406220490181350,000$
11Mirco Mueller (R)X94.806622786468707066486856774844426017660202600,000$
12John Marino (R)X100.006443736158656463466857564640407117600182500,000$
13Sami Niku (R)X100.005035617351537268296760513143426417590192500,000$
14William Lagesson (R)X100.005125717254495866246649594741416618580191500,000$
15Ryan Collins (R)X100.005031605559545753406251564641416020540191500,000$
TEAM AVERAGE99.69623473676363666657676157554443603462
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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.
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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
1Magnus Hellberg99.00756171807466677373707660563766700
2Joey Daccord (R)100.00626262434670715048624842417019560
Scratches
1Philippe Desrosiers100.00664562747055475958507042425917580
TEAM AVERAGE99.6768566566636462616061654846553461
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adams Oates53568572375954CAN513950,000$


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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
1Iiro PakarinenMoose (Win)RW81225476-1856020097240941639.17%43149418.4551116252420000513161.54%1045930001.0235000342
2Nikolaj EhlersMoose (Win)RW69334073-416075912328313414.22%23134019.4391726322370001172353.98%1135013011.0912000456
3Jordan MartinookMoose (Win)LW763025554375152871845611516.30%21113614.9533687620231085246.60%1033918100.9712000344
4Vince HinostrozaMoose (Win)RW602728552220114861673611116.17%30116219.386713181801016706141.41%993521000.9511000222
5Troy StetcherMoose (Win)D6584149-183357812217366564.62%114162625.0371522282590003101000.00%03941000.6000001111
6Josh BaileyJetsRW57222446-214010654154539314.29%1686115.12459221080114722240.00%453416111.0713000316
7Dwight KingMoose (Win)LW46182442-714013578114408515.79%2589719.507512221390001693248.51%1343317010.9413000521
8Miro AaltonenJetsC20182341240314576365023.68%1141420.70781515651011271051.37%584178001.9800000400
9Frank VatranoMoose (Win)RW66112940-34401298314949907.38%3394214.290220630004711039.56%913521000.8500000021
10Nathan WalkerMoose (Win)LW77201838-21409556162348012.35%147519.76314879000012076.92%13314001.0127000412
11Dominik KahunMoose (Win)C79928378120519584245610.71%15106713.51167131170001211256.13%9551110000.6900000001
12Cedric PaquetteMoose (Win)C84132235-811510381107406812.15%2195511.3722432400011220044.13%5711611000.7312001012
13Ludwig BystromMoose (Win)D805283333809513511336354.42%89169621.21156142441122126300.00%02048100.3900000120
14Brendan PerliniMoose (Win)LW78151631-112007651108316713.89%2490411.60022144000040248.39%313517000.6902000022
15Noel AcciariJetsC1962127-210035417017438.57%841621.932575770112310055.61%633148001.3011000023
16Mirco MuellerMoose (Win)D665182317140701185922328.47%82129319.601011270003163110.00%01151000.3600000111
17Vladislav GavrikovMoose (Win)D7851520-14135761057728306.49%86169021.6823592370111149010.00%11250000.2400001022
18Nicolas PetanMoose (Win)C5911920-15160465665252416.92%1276212.92134596000051056.67%457138000.5200000200
19Alexandre CarrierMoose (Win)D8031619-138021817228404.17%64125215.661127165000027100.00%01824000.3000000000
20Nikolay GoldobinMoose (Win)RW5611819-860333173175715.07%84768.5100000000143208.33%241513000.8014000210
21Matthew BenningMoose (Win)D43167116034393021123.33%2767015.59011043000151000.00%0220000.2100000000
22John MarinoMoose (Win)D38145-8603127103510.00%1445812.0600002300003000.00%028000.2200000000
23Robert HaggJetsD1014592071660416.67%921321.3500000000022000.00%026000.4700000000
24Jesse GrahamMoose (Win)D18224-5135910122216.67%1419911.070000000002000.00%017000.4000000000
25Mitchell StephensMoose (Win)C21112-30031142325.00%61798.5400000000000047.83%6902000.2200000000
26Jeremy BraccoMoose (Win)RW28011-106011916780.00%22017.2000004000000060.00%541000.1000000000
27Michael MathesonJetsD4101-70027103100.00%68822.2400001200000000.00%013000.2200000000
28Nicklas JensenMoose (Win)RW13000300323110.00%0191.4800001000030050.00%200000.0000000000
29Colin WhiteMoose (Win)C12000100231130.00%1363.0100000000090047.37%1900000.0000000000
30Sami NikuMoose (Win)D7000-200400000.00%0507.150000000000000.00%010000.0000000000
31Mackenzie MacEachernMoose (Win)LW12000000000010.00%080.6900000000070033.33%300000.0000000000
32Oskar LindblomMoose (Win)LW17000-840838140.00%0694.0700000000000020.00%510000.0000000000
33William LagessonMoose (Win)D3000000000000.00%010.460000000000000.00%000000.0000000000
Team Total or Average1522299505804-11844925183517202570853147511.63%8182333915.33621021642362575549351388341751.88%4061551476330.691332003353336
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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
1Magnus HellbergMoose (Win)50221540.8923.372543401431321691320.636224040032
2Joey DaccordMoose (Win)82500.8215.773640035196101000.0000716000
3Philippe DesrosiersMoose (Win)20000.72414.12340082916000.000023000
Team Total or Average60242040.8803.792942401861546808320.636224959032


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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
Alexandre CarrierMoose (Win)D191996-01-01Yes174 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brendan PerliniMoose (Win)LW191996-01-01Yes211 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Cedric PaquetteMoose (Win)C221993-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No900,000$
Colin WhiteMoose (Win)C181997-01-01Yes191 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
David KaseMoose (Win)RW181997-01-01Yes169 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dominik KahunMoose (Win)C201995-01-01Yes175 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dwight KingMoose (Win)LW261989-01-01No227 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$No
Frank VatranoMoose (Win)RW211994-01-01Yes197 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Iiro PakarinenMoose (Win)RW241991-01-01Yes215 Lbs6 ft1NoNoNo2Pro & Farm625,000$0$0$No650,000$
Jansen HarkinsMoose (Win)C181997-01-01Yes182 Lbs6 ft1NoNoNo1Farm Only350,000$0$0$No
Jayce HawrylukMoose (Win)RW191996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Jeremy BraccoMoose (Win)RW181997-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jesse GrahamMoose (Win)D211994-01-01Yes170 Lbs5 ft11NoNoNo1Pro & Farm600,000$0$0$No
Joey DaccordMoose (Win)G191996-01-01Yes197 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No550,000$600,000$
John HaydenMoose (Win)C201995-01-01Yes185 Lbs6 ft3NoNoNo1Farm Only350,000$0$0$No
John MarinoMoose (Win)D181997-01-01Yes181 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jordan MartinookMoose (Win)LW231992-01-01Yes202 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No900,000$
Ludwig BystromMoose (Win)D211994-01-01Yes169 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No600,000$
Mackenzie MacEachernMoose (Win)LW211994-01-01Yes180 Lbs6 ft2NoNoNo1Pro & Farm350,000$0$0$No
Magnus HellbergMoose (Win)G241991-01-01No185 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$No
Matthew BenningMoose (Win)D211994-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm400,000$0$0$No400,000$
Mirco Mueller (Out of Payroll)Moose (Win)D201995-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$Yes700,000$
Mitchell StephensMoose (Win)C181997-01-01Yes193 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nathan WalkerMoose (Win)LW211994-01-01Yes186 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Nicklas JensenMoose (Win)RW221993-01-01Yes186 Lbs6 ft3NoNoNo2Pro & Farm550,000$0$0$No550,000$
Nicolas PetanMoose (Win)C201995-01-01Yes185 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No525,000$
Nikolaj EhlersMoose (Win)RW191996-01-01Yes172 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Nikolay GoldobinMoose (Win)RW191996-01-01Yes196 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Oskar LindblomMoose (Win)LW191996-01-01Yes191 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Philippe DesrosiersMoose (Win)G201995-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Ryan CollinsMoose (Win)D191996-01-01Yes204 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Sami NikuMoose (Win)D191996-01-01Yes176 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Troy StetcherMoose (Win)D211994-01-01Yes186 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Vince HinostrozaMoose (Win)RW211994-01-01Yes158 Lbs5 ft9NoNoNo2Pro & Farm600,000$0$0$No750,000$
Vladislav GavrikovMoose (Win)D201995-01-01Yes213 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
William LagessonMoose (Win)D191996-01-01Yes207 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3620.19188 Lbs6 ft11.61529,861$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dwight KingDominik KahunNikolaj Ehlers40122
2Jordan MartinookNicolas PetanVince Hinostroza30122
3Brendan PerliniCedric PaquetteIiro Pakarinen20122
4Oskar LindblomMitchell StephensFrank Vatrano10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav GavrikovTroy Stetcher40122
2Matthew BenningLudwig Bystrom35122
3Alexandre CarrierJesse Graham25122
4Troy StetcherMatthew Benning0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jordan MartinookDominik KahunNikolaj Ehlers60014
2Dwight KingNicolas PetanVince Hinostroza40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromTroy Stetcher60014
2Vladislav GavrikovAlexandre Carrier40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cedric PaquetteVince Hinostroza60131
2Jordan MartinookFrank Vatrano40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew BenningLudwig Bystrom60140
2Vladislav GavrikovTroy Stetcher40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Frank Vatrano60041Matthew BenningVladislav Gavrikov60131
2Vince Hinostroza40041Troy StetcherLudwig Bystrom40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dominik KahunNikolaj Ehlers60122
2Cedric PaquetteVince Hinostroza40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Troy StetcherLudwig Bystrom60122
2Matthew BenningVladislav Gavrikov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dwight KingDominik KahunIiro PakarinenLudwig BystromTroy Stetcher
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jordan MartinookCedric PaquetteVince HinostrozaVladislav GavrikovTroy Stetcher
Extra Forwards
Normal PowerPlayPenalty Kill
Jordan Martinook, Iiro Pakarinen, Vince HinostrozaIiro Pakarinen, Brendan PerliniDwight King
Extra Defensemen
Normal PowerPlayPenalty Kill
Alexandre Carrier, Vladislav Gavrikov, Ludwig BystromAlexandre CarrierLudwig Bystrom, Vladislav Gavrikov
Penalty Shots
Iiro Pakarinen, Brendan Perlini, Oskar Lindblom, Frank Vatrano, Cedric Paquette
Goalie
#1 : Magnus Hellberg, #2 : Joey Daccord


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
1Admirals312000001014-4211000008801010000026-420.33310172710961059917968658728134110235186214428.57%9188.89%0955183751.99%830161451.43%677130252.00%176699216297391455750
2Barracuda422000001618-232100000121021010000048-440.5001625410096105991711986587281341148352410219315.79%7271.43%0955183751.99%830161451.43%677130252.00%176699216297391455750
3Bears321000001376110000005142110000086240.66713213400961059917113865872813416126167511327.27%8450.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
4Checkers211000008621010000024-21100000062420.50081422109610599176586587281341552345612325.00%20100.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
5Comets201000101011-1100000105411010000057-220.5001015250096105991762865872813417021144911218.18%7271.43%0955183751.99%830161451.43%677130252.00%176699216297391455750
6Condors714001102230-8412000101315-230200100915-650.3572242640096105991722686587281341236696514032721.88%26676.92%1955183751.99%830161451.43%677130252.00%176699216297391455750
7Crunch21001000752110000003211000100043141.00071118009610599176886587281341521612405360.00%6183.33%0955183751.99%830161451.43%677130252.00%176699216297391455750
8Devils431000002015521100000752220000001310360.750203757009610599171528658728134111734209013323.08%10370.00%2955183751.99%830161451.43%677130252.00%176699216297391455750
9Eagles2010000157-21000000123-11010000034-110.250581300961059917548658728134150268619222.22%4175.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
10Griffins65100000241863210000012102330000001284100.8332440640096105991717386587281341191532212823417.39%11281.82%1955183751.99%830161451.43%677130252.00%176699216297391455750
11Heat21000001660110000004311000000123-130.75069150096105991769865872813416616644500.00%30100.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
12IceHogs32100000111101010000025-32200000096340.667111930009610599178986587281341983614672015.00%7271.43%0955183751.99%830161451.43%677130252.00%176699216297391455750
13Influenza32100000111102110000078-11100000043140.66711182900961059917808658728134110731126719315.79%6266.67%0955183751.99%830161451.43%677130252.00%176699216297391455750
14Little Stars2110000078-1110000005231010000026-420.5007101700961059917678658728134174198493133.33%40100.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
15Monsters3210000012111110000004312110000088040.66712223400961059917105865872813418332186923313.04%9188.89%0955183751.99%830161451.43%677130252.00%176699216297391455750
16Penguins21000001761110000005321000000123-130.750711180096105991760865872813416232845600.00%40100.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
17Phantoms614000102225-33120000011110302000101114-340.3332234561096105991719386587281341176673414438821.05%17476.47%0955183751.99%830161451.43%677130252.00%176699216297391455750
18Punishers30201000813-520200000410-61000100043120.333814220096105991710386587281341993912549222.22%6183.33%0955183751.99%830161451.43%677130252.00%176699216297391455750
19Rampage302001001015-51010000046-22010010069-310.167101828009610599179986587281341118331055700.00%5260.00%1955183751.99%830161451.43%677130252.00%176699216297391455750
20Reign311001001417-31000010067-121100000810-230.50014264000961059917111865872813411012898112325.00%40100.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
21Rocket62201010272613110001014104311010001316-380.6672746730096105991719586587281341183513314225520.00%14192.86%0955183751.99%830161451.43%677130252.00%176699216297391455750
22Senators210000101082110000006511000001043141.00010162600961059917678658728134176116498112.50%30100.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
23Sound Tigers32100000161061010000012-122000000158740.6671627430096105991772865872813419031247323521.74%12466.67%0955183751.99%830161451.43%677130252.00%176699216297391455750
24Thunderbirds2010100035-21010000014-31000100021120.50036900961059917508658728134162181247400.00%6183.33%0955183751.99%830161451.43%677130252.00%176699216297391455750
25Wolfpack2110000010911010000056-11100000053220.500101727009610599177186587281341632412389333.33%6350.00%0955183751.99%830161451.43%677130252.00%176699216297391455750
Total80333204353309312-340171800131148147140161404222161165-4900.56330952383230961059917255986587281341254080642118273606919.17%1964378.06%5955183751.99%830161451.43%677130252.00%176699216297391455750
_Since Last GM Reset80333204353309312-340171800131148147140161404222161165-4900.56330952383230961059917255986587281341254080642118273606919.17%1964378.06%5955183751.99%830161451.43%677130252.00%176699216297391455750
_Vs Conference502321012301981980251111001209590525121001110103108-5560.56019833753520961059917157286587281341157649428911502594918.92%1302977.69%2955183751.99%830161451.43%677130252.00%176699216297391455750
_Vs Division25911011309599-4135600020504641245011104553-8270.5409516225710961059917787865872813417862401545541182420.34%681380.88%2955183751.99%830161451.43%677130252.00%176699216297391455750

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8090OTL130952383225592540806421182730
All Games
GPWLOTWOTL SOWSOLGFGA
8033324353309312
Home Games
GPWLOTWOTL SOWSOLGFGA
4017180131148147
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4016144222161165
Last 10 Games
WLOTWOTL SOWSOL
251101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3606919.17%1964378.06%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
86587281341961059917
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
955183751.99%830161451.43%677130252.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
176699216297391455750


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-10-093Condors5Moose4LR1BoxScore
4 - 2020-10-1223Moose4Griffins3WBoxScore
6 - 2020-10-1433Rocket3Moose9WBoxScore
11 - 2020-10-1955Barracuda2Moose4WBoxScore
13 - 2020-10-2168Moose4Rocket3WBoxScore
15 - 2020-10-2383Griffins5Moose6WBoxScore
16 - 2020-10-2484Moose4Phantoms5LBoxScore
20 - 2020-10-28107Moose3Phantoms2WXXBoxScore
21 - 2020-10-29115Moose2Condors5LR1BoxScore
23 - 2020-10-31127Condors1Moose2WBoxScore
26 - 2020-11-03140Phantoms2Moose6WBoxScore
28 - 2020-11-05154Moose6Bears2WBoxScore
30 - 2020-11-07165Moose6Devils5WBoxScore
32 - 2020-11-09173Barracuda5Moose6WBoxScore
34 - 2020-11-11185Moose4Rampage5LXBoxScore
36 - 2020-11-13198Devils2Moose1LBoxScore
41 - 2020-11-18220Barracuda3Moose2LBoxScore
43 - 2020-11-20231Moose4Phantoms7LBoxScore
45 - 2020-11-22246Bears1Moose5WBoxScore
47 - 2020-11-24254Moose4Barracuda8LBoxScore
50 - 2020-11-27269Heat3Moose4WBoxScore
54 - 2020-12-01288Moose2Bears4LBoxScore
55 - 2020-12-02299Wolfpack6Moose5LBoxScore
59 - 2020-12-06317Checkers4Moose2LBoxScore
62 - 2020-12-09331Moose4Senators3WXXBoxScore
64 - 2020-12-11342Devils3Moose6WBoxScore
66 - 2020-12-13357Moose9Sound Tigers5WR2BoxScore
69 - 2020-12-16368Moose2Thunderbirds1WXBoxScore
71 - 2020-12-18377Rocket3Moose4WXXBoxScore
74 - 2020-12-21394Sound Tigers2Moose1LR2BoxScore
76 - 2020-12-23400Moose2Admirals6LBoxScore
79 - 2020-12-26420Monsters3Moose4WR2BoxScore
83 - 2020-12-30437Moose5Monsters4WBoxScore
85 - 2021-01-01450Penguins3Moose5WR1BoxScore
89 - 2021-01-05472Reign7Moose6LXBoxScore
93 - 2021-01-09492Moose3Eagles4LR1BoxScore
94 - 2021-01-10498Phantoms4Moose2LBoxScore
98 - 2021-01-14515Moose5Comets7LBoxScore
100 - 2021-01-16523Little Stars2Moose5WBoxScore
102 - 2021-01-18535Moose6Checkers2WBoxScore
106 - 2021-01-22547Moose5IceHogs4WR2BoxScore
107 - 2021-01-23557Senators5Moose6WBoxScore
110 - 2021-01-26571Moose3Monsters4LR2BoxScore
111 - 2021-01-27582Rampage6Moose4LBoxScore
114 - 2021-01-30599Moose7Devils5WBoxScore
116 - 2021-02-01607Griffins3Moose6WBoxScore
120 - 2021-02-05625Moose4Crunch3WXBoxScore
121 - 2021-02-06634Phantoms5Moose3LBoxScore
124 - 2021-02-09652Punishers6Moose3LBoxScore
128 - 2021-02-13671Moose2Rampage4LBoxScore
130 - 2021-02-15680Moose4Influenza3WBoxScore
131 - 2021-02-16687Comets4Moose5WXXBoxScore
135 - 2021-02-20702Moose6Sound Tigers3WR2BoxScore
136 - 2021-02-21712Condors3Moose4WXXR1BoxScore
140 - 2021-02-25733Griffins2Moose0LBoxScore
142 - 2021-02-27741Moose2Penguins3LXXR1BoxScore
146 - 2021-03-03758Moose4Punishers3WXBoxScore
147 - 2021-03-04763Crunch2Moose3WBoxScore
150 - 2021-03-07782Influenza2Moose4WBoxScore
152 - 2021-03-09789Moose4IceHogs2WR2BoxScore
157 - 2021-03-14810Rocket4Moose1LBoxScore
159 - 2021-03-16822Moose5Wolfpack3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
162 - 2021-03-19836Condors6Moose3LR1BoxScore
167 - 2021-03-24862IceHogs5Moose2LBoxScore
168 - 2021-03-25866Moose2Little Stars6LBoxScore
172 - 2021-03-29887Admirals3Moose5WBoxScore
175 - 2021-04-01900Moose2Heat3LXXBoxScore
177 - 2021-04-03913Influenza6Moose3LBoxScore
179 - 2021-04-05925Moose3Griffins1WBoxScore
183 - 2021-04-09939Punishers4Moose1LBoxScore
188 - 2021-04-14964Admirals5Moose3LBoxScore
189 - 2021-04-15968Moose3Rocket8LBoxScore
191 - 2021-04-17978Moose2Condors4LR1BoxScore
193 - 2021-04-19990Eagles3Moose2LXXR1BoxScore
194 - 2021-04-20992Moose6Rocket5WXBoxScore
195 - 2021-04-21999Moose4Reign3WBoxScore
197 - 2021-04-231009Moose5Griffins4WBoxScore
198 - 2021-04-241017Moose4Reign7LBoxScore
201 - 2021-04-271025Thunderbirds4Moose1LBoxScore
202 - 2021-04-281034Moose5Condors6LXR1BoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2513
Attendance78,03838,789
Attendance PCT97.55%96.97%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2921 - 97.36% 64,449$2,577,967$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,183,321$ 1,907,500$ 1,837,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,012$ 2,219,221$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 13,939$ 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