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Moose
GP: 56 | W: 27 | L: 26 | OTL: 3 | P: 57
GF: 223 | GA: 229 | PP%: 18.30% | PK%: 76.42%
GM : Pascal Verret | Morale : 38 | Team Overall : 64
Next Games #738 vs Crunch
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Game Center
Moose
27-26-3, 57pts
2
FINAL
5 Penguins
29-20-6, 64pts
Team Stats
L2StreakW2
12-14-2Home Record15-8-5
15-12-1Away Record14-12-1
4-6-0Last 10 Games7-2-1
3.98Goals Per Game4.09
4.09Goals Against Per Game4.20
18.30%Power Play Percentage24.27%
76.42%Penalty Kill Percentage74.62%
Devils
36-19-3, 75pts
5
FINAL
4 Moose
27-26-3, 57pts
Team Stats
OTW1StreakL2
15-10-3Home Record12-14-2
21-9-0Away Record15-12-1
6-4-0Last 10 Games4-6-0
4.64Goals Per Game3.98
4.02Goals Against Per Game4.09
21.03%Power Play Percentage18.30%
84.14%Penalty Kill Percentage76.42%
Crunch
29-25-4, 62pts
2023-03-16
Moose
27-26-3, 57pts
Team Stats
L3StreakL2
13-13-2Home Record12-14-2
16-12-2Away Record15-12-1
3-5-2Last 10 Games4-6-0
4.36Goals Per Game3.98
4.14Goals Against Per Game3.98
23.90%Power Play Percentage18.30%
72.25%Penalty Kill Percentage76.42%
Moose
27-26-3, 57pts
2023-03-19
Rocket
27-23-9, 63pts
Team Stats
L2StreakL2
12-14-2Home Record14-10-4
15-12-1Away Record13-13-5
4-6-0Last 10 Games4-5-1
3.98Goals Per Game4.59
4.09Goals Against Per Game4.59
18.30%Power Play Percentage19.49%
76.42%Penalty Kill Percentage76.00%
Comets
33-20-2, 68pts
2023-03-22
Moose
27-26-3, 57pts
Team Stats
SOW1StreakL2
18-10-0Home Record12-14-2
15-10-2Away Record15-12-1
6-4-0Last 10 Games4-6-0
4.07Goals Per Game3.98
3.87Goals Against Per Game3.98
19.46%Power Play Percentage18.30%
81.94%Penalty Kill Percentage76.42%
Team Leaders
Goals
Mathieu Joseph
33
Assists
Dylan Strome
55
Points
Dylan Strome
86
Plus/Minus
Mathieu Joseph
12
Wins
Filip Gustavsson
14
Save Percentage
Filip Gustavsson
0.876

Team Stats
Goals For
223
3.98 GFG
Shots For
1869
33.38 Avg
Power Play Percentage
18.3%
41 GF
Offensive Zone Start
37.7%
Goals Against
229
4.09 GAA
Shots Against
1788
31.93 Avg
Penalty Kill Percentage
76.4%%
54 GA
Defensive Zone Start
36.1%
Team Info

General ManagerPascal Verret
CoachAdams Oates
DivisionThayer-Tutt
ConferenceRobert-Lebel
Captain
Assistant #1Ludwig Bystrom
Assistant #2


Arena Info

Capacity3,000
Attendance2,787
Season Tickets300


Roster Info

Pro Team36
Farm Team18
Contract Limit54 / 250
Prospects0


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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
1Tomas JurcoX100.007733767282716871717673657364603640710251700,000$
2Nathan Walker (R)X100.006931727772786977717572647351515053700231850,000$
3Kyle Connor (R)X100.006134897572747873596088517751466242690213800,000$
4Nikolay Goldobin (R)X100.006537827568705880647170687947445636690211850,000$
5Mathieu Joseph (R)X100.007337707375627474596774696445435852680203950,000$
6Dylan Strome (R)X100.006128786763797473848169525349436742670204950,000$
7Chase De Leo (R)X100.006530817066697167697673516145445752660211750,000$
8Michael McLeod (R)X100.005237738362635682616470637343426452660191500,000$
9Vinni Lettieri (R)X100.006539867278777353667656635749484928650222500,000$
10Julien Gauthier (R)X100.006129775574626167586973486144425652620201500,000$
11Boris Katchouk (R)X100.006742726364626968625863476342437230600192500,000$
12Jake Leschyshyn (R)X100.007436596075577866565853444740407937570182500,000$
13Mirco Mueller (R)X100.007222827174787472557463815655454959720221990,000$
14Ludwig Bystrom (R) (A)X100.007323787874727677497158775861474152710231975,000$
15Roman JosiX100.0073308671747379725370757365645233317102711,000,000$
16Erik Cernak (R)X100.007735726979786356417264775049446238700202950,000$
17Matthew Benning (R)X100.006722796866716166457061725549494542660231750,000$
18Juuso Valimaki (R)X100.005030667654615977297947674641417340620192500,000$
Scratches
1Lane MacDermidX100.007744787675677473667472696869662813710281700,000$
2Anders Bjork (R)X100.006029738056626181586863567143434819640211600,000$
3Nick Merkley (R)X100.005735816157666370806862395942425619610204550,000$
4Mitchell Stephens (R)X100.004827907066796549706658614642425918600202500,000$
5Nathan Bastian (R)X100.004941725760726166796561495942445218600201500,000$
6Max Jones (R)X100.006742666570557360466659544441416118590191500,000$
7William Bitten (R)X100.007140616468516964495664505841425919590191500,000$
8Kieffer Bellows (R)X100.006024795174666661636171406741426517590191500,000$
9Tim Gettinger (R)X100.005629655164595460505862316541416020540191500,000$
10Nelson Nogier (R)X100.006641746466676260386657694543434718640211600,000$
11Josh Mahura (R)X100.005137747254575975266652623841415919600191500,000$
12Urho Vaakanainen (R)X100.005623765957575747285936643840407719560182500,000$
13Jonathan Kovacevic (R)X100.006133635655635443356137593542444920550201350,000$
TEAM AVERAGE100.00643375686867666756686359584745563364
Filter Tips
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Brandon Halverson97.00727772707572727167687348445252700211850,000$
2Filip Gustavsson (R)100.00646774635478795648786445427356630191500,000$
Scratches
1Karel Vejmelka (R)100.00725869787460556271487145475518640212500,000$
2Joey Daccord100.00676665485273735352685344435520600211600,000$
3Daniel Vladar (R)100.00536644675767557065555742436820590203500,000$
TEAM AVERAGE99.4066676565627067626163644544613363
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adams Oates53568572375954CAN531950,000$


Filter Tips
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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.
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
1Dylan StromeMoose (Win)C563155869260761011805512217.22%25110119.6791423301880000192353.69%16932418001.5603000842
2Nathan WalkerMoose (Win)LW55224062456078722156412710.23%31107219.5031417241710002986147.57%1034020001.1636000131
3Mathieu JosephMoose (Win)RW563325581240010267153508421.57%18107119.147815251621126934047.37%763622011.0803000236
4Kyle ConnorMoose (Win)LW54262551-612087701987412613.13%33122522.69581329181303121482244.14%1454020100.8357000514
5Tomas JurcoMoose (Win)RW54192039-83606243129387414.73%2386215.9852714871012491055.41%742322000.9001000241
6Nikolay GoldobinMoose (Win)LW49162238-1806551142457911.27%2370314.3544811451011750445.16%1242417101.0834000421
7Michael McLeodMoose (Win)C5524113562005175149539016.11%1878514.291237581013845143.58%5373919010.8923000122
8Mirco MuellerMoose (Win)D5252934-2240931088628335.81%98135226.01437171270005178010.00%02847000.5000000303
9Chase De LeoMoose (Win)C5692231-7180634310842608.33%1569712.45156481000090046.58%380259000.8901000111
10Ludwig BystromMoose (Win)D56118196240891088341431.20%106147526.35033112000002190000.00%03753000.2600000111
11Julien GauthierMoose (Win)RW569101996049264493920.45%1364111.460001160001511041.46%4158000.5900000210
12Erik CernakMoose (Win)D4931518-541578745322185.66%63106121.6510161080331109000.00%01138000.3401000101
13Roman JosiMoose (Win)D5131316-710055898240293.66%66110921.75213141610110120000.00%02434000.2912000001
14Anders BjorkMoose (Win)LW3151015014036117129447.04%1133110.68000070004350053.85%13184000.9122000100
15Nick MerkleyMoose (Win)RW346915340141146162313.04%32778.1700004000000175.00%812001.0800000011
16Vinni LettieriMoose (Win)RW2831114-700221124142112.50%1633812.10011023000000050.00%1442000.8300000000
17Juuso ValimakiMoose (Win)D4611314113201532181875.56%3058412.71000219000026000.00%0117000.4800000010
18Jake LeschyshynMoose (Win)C476612132054222681923.08%74559.69000030000531041.21%19907000.5300000010
19Boris KatchoukMoose (Win)LW3948120120281231132412.90%73268.36000122000030033.33%12114000.7401000010
20Lane MacDermidMoose (Win)LW15459-780161438172010.53%722515.02202360000170159.09%2262000.8001000010
21Matthew BenningMoose (Win)D56279820030664416134.55%5081214.51011168000147000.00%0627000.2200000010
22Kieffer BellowsMoose (Win)RW27415-88012112272318.18%22077.6800000000000050.00%253000.4800000000
23Josh MahuraMoose (Win)D1813426071213587.69%722612.5700011800004000.00%057000.3500000000
24Nelson NogierMoose (Win)D12022-2806184100.00%1014912.4700000011112000.00%028000.2700000000
25Sam ReinhartJetsRW2011-500846160.00%14422.2401138000060050.00%1441000.4500000000
26Urho VaakanainenMoose (Win)D3000020010000.00%1217.040000000000000.00%000000.00%00000000
27Mitchell StephensMoose (Win)C5000-100121010.00%0387.7100002000000072.73%1102000.00%00000000
28Max JonesMoose (Win)LW4000-200010000.00%182.160000000000000.00%000000.00%00000000
29Nathan BastianMoose (Win)RW4000-200011010.00%0164.140000000005000.00%020000.00%00000000
30William BittenMoose (Win)RW9000-320556010.00%0535.990000000001000.00%111000.00%00000000
Team Total or Average1079237381618-24695120211611973706113512.01%6851727916.01446711120417757613411445221449.52%3469422414220.721635000322825
Filter Tips
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Filip GustavssonMoose (Win)29141210.8763.94158220104839417210.714142725021
2Brandon HalversonMoose (Win)33131420.8753.94176700116925462100.588172927001
3Karel VejmelkaMoose (Win)20000.73910.0036006239000.00%004000
Team Total or Average64272630.8744.01338620226178788831315656022


Filter Tips
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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 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
Anders BjorkMoose (Win)LW211996-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
Boris KatchoukMoose (Win)LW191998-01-01Yes206 Lbs6 ft2NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Brandon HalversonMoose (Win)G211996-01-01No203 Lbs6 ft4NoNoNo1Pro & Farm850,000$276,456$0$0$NoLink
Chase De LeoMoose (Win)C211996-01-01Yes179 Lbs5 ft9NoNoNo1Pro & Farm750,000$243,932$0$0$NoLink
Daniel VladarMoose (Win)G201997-01-01Yes185 Lbs6 ft5NoNoNo3Pro & Farm500,000$162,621$0$0$No700,000$750,000$Link
Dylan StromeMoose (Win)C201997-01-01Yes200 Lbs6 ft3NoNoNo4Pro & Farm950,000$308,981$0$0$No975,000$1,500,000$2,250,000$Link
Erik CernakMoose (Win)D201997-01-01Yes233 Lbs6 ft3NoNoNo2Pro & Farm950,000$308,981$0$0$No975,000$Link
Filip GustavssonMoose (Win)G191998-01-01Yes183 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Jake LeschyshynMoose (Win)C181999-01-01Yes192 Lbs5 ft11NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Joey DaccordMoose (Win)G211996-01-01No197 Lbs6 ft2NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
Jonathan KovacevicMoose (Win)D201997-01-01Yes208 Lbs6 ft4NoNoNo1Pro & Farm350,000$113,835$0$0$NoLink
Josh MahuraMoose (Win)D191998-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Julien GauthierMoose (Win)RW201997-01-01Yes227 Lbs6 ft4NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Juuso ValimakiMoose (Win)D191998-01-01Yes212 Lbs6 ft2NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Karel VejmelkaMoose (Win)G211996-01-01Yes224 Lbs6 ft4NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Kieffer BellowsMoose (Win)RW191998-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Kyle ConnorMoose (Win)LW211996-01-01Yes182 Lbs6 ft1NoNoNo3Pro & Farm800,000$260,194$0$0$No950,000$1,750,000$Link
Lane MacDermidMoose (Win)LW281989-01-01No215 Lbs6 ft3NoNoNo1Pro & Farm700,000$227,670$0$0$No
Ludwig BystromMoose (Win)D231994-01-01Yes169 Lbs6 ft0NoNoNo1Pro & Farm975,000$317,112$0$0$NoLink
Mathieu JosephMoose (Win)RW201997-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm950,000$308,981$0$0$No975,000$1,000,000$Link
Matthew BenningMoose (Win)D231994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm750,000$243,932$0$0$NoLink
Max JonesMoose (Win)LW191998-01-01Yes220 Lbs6 ft1NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Michael McLeodMoose (Win)C191998-01-01Yes187 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Mirco MuellerMoose (Win)D221995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm990,000$321,990$0$0$NoLink
Mitchell StephensMoose (Win)C201997-01-01Yes193 Lbs5 ft11NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Nathan BastianMoose (Win)RW201997-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Nathan WalkerMoose (Win)LW231994-01-01Yes186 Lbs5 ft9NoNoNo1Pro & Farm850,000$276,456$0$0$NoLink
Nelson NogierMoose (Win)D211996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
Nick MerkleyMoose (Win)RW201997-01-01Yes194 Lbs5 ft10NoNoNo4Pro & Farm550,000$178,883$0$0$No550,000$650,000$650,000$Link
Nikolay GoldobinMoose (Win)LW211996-01-01Yes196 Lbs5 ft11NoNoNo1Pro & Farm850,000$276,456$0$0$NoLink
Roman JosiMoose (Win)D271990-01-01No198 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$325,243$0$0$No
Tim GettingerMoose (Win)LW191998-01-01Yes220 Lbs6 ft6NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Tomas JurcoMoose (Win)RW251992-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm700,000$227,670$0$0$No
Urho VaakanainenMoose (Win)D181999-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Vinni LettieriMoose (Win)RW221995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
William BittenMoose (Win)RW191998-01-01Yes179 Lbs5 ft10NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3620.78197 Lbs6 ft11.56646,250$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorDylan StromeTomas Jurco40122
2Nathan WalkerMichael McLeodMathieu Joseph30122
3Nikolay GoldobinChase De LeoJulien Gauthier20122
4Boris KatchoukJake LeschyshynVinni Lettieri10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom40122
2Roman JosiErik Cernak30122
3Matthew BenningJuuso Valimaki20122
4Mirco MuellerLudwig Bystrom10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorDylan StromeTomas Jurco60122
2Nathan WalkerMichael McLeodMathieu Joseph40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom60122
2Roman JosiErik Cernak40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nikolay GoldobinMathieu Joseph60122
2Michael McLeodTomas Jurco40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom60122
2Roman JosiErik Cernak40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nikolay Goldobin60122Mirco MuellerLudwig Bystrom60122
2Michael McLeod40122Roman JosiErik Cernak40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan StromeKyle Connor60122
2Michael McLeodNathan Walker40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom60122
2Roman JosiErik Cernak40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nathan WalkerDylan StromeTomas JurcoMirco MuellerLudwig Bystrom
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nathan WalkerDylan StromeTomas JurcoMirco MuellerLudwig Bystrom
Extra Forwards
Normal PowerPlayPenalty Kill
Mathieu Joseph, Dylan Strome, Chase De LeoMathieu Joseph, Dylan StromeMathieu Joseph
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Cernak, Matthew Benning, Juuso ValimakiErik CernakErik Cernak, Matthew Benning
Penalty Shots
Tomas Jurco, Nathan Walker, Kyle Connor, Nikolay Goldobin, Mathieu Joseph
Goalie
#1 : Brandon Halverson, #2 : Filip Gustavsson


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
1Admirals1010000025-3000000000001010000025-300.0002350060758315466096166393732106233133.33%3166.67%0674133150.64%608127547.69%47292950.81%12096751184521998503
2Barracuda31100010151231010000024-221000010138540.6671524390060758315107609616639379935346416425.00%17852.94%0674133150.64%608127547.69%47292950.81%12096751184521998503
3Bears2100000110641000000145-11100000061530.75010162600607583156760961663937692512356350.00%6183.33%0674133150.64%608127547.69%47292950.81%12096751184521998503
4Comets1010000024-2000000000001010000024-200.000246006075831538609616639372788225120.00%4250.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
5Condors622010102116531200000910-131001010126680.667213253006075831520060961663937181875411935514.29%28389.29%3674133150.64%608127547.69%47292950.81%12096751184521998503
6Crunch1010000024-2000000000001010000024-200.000246006075831539609616639373115622600.00%3166.67%0674133150.64%608127547.69%47292950.81%12096751184521998503
7Devils211000009811010000045-11100000053220.5009142300607583155760961663937572122444125.00%11281.82%1674133150.64%608127547.69%47292950.81%12096751184521998503
8Eagles201000101213-11010000046-21000001087120.500121729106075831556609616639377422185010220.00%9188.89%0674133150.64%608127547.69%47292950.81%12096751184521998503
9Griffins421000101514132100000121201000001032160.750152439006075831512460961663937130353410425416.00%17664.71%1674133150.64%608127547.69%47292950.81%12096751184521998503
10Heat30300000815-720200000712-51010000013-200.00081321006075831580609616639379227286413323.08%14285.71%0674133150.64%608127547.69%47292950.81%12096751184521998503
11Icehogs1010000045-1000000000001010000045-100.0004711006075831528609616639374210419000.00%20100.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
12Little Stars311001001011-1311001001011-10000000000030.5001016260060758315996096166393795362266400.00%11281.82%0674133150.64%608127547.69%47292950.81%12096751184521998503
13Marlies21100000912-30000000000021100000912-320.5009152400607583157360961663937621916455120.00%8450.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
14Monsters1010000024-21010000024-20000000000000.000246006075831528609616639373516625200.00%3166.67%0674133150.64%608127547.69%47292950.81%12096751184521998503
15Penguins20200000510-51010000035-21010000025-300.0005101500607583157360961663937631818266116.67%9188.89%0674133150.64%608127547.69%47292950.81%12096751184521998503
16Phantoms220000001183110000005411100000064241.00011172800607583156660961663937702818366116.67%9366.67%0674133150.64%608127547.69%47292950.81%12096751184521998503
17Punishers220000001055110000005231100000053241.000101828006075831571609616639375220164110330.00%8275.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
18Rampage1000000123-1000000000001000000123-110.5002240060758315356096166393728131018300.00%50100.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
19Reign2200000014860000000000022000000148641.00014233700607583157760961663937652516425360.00%80100.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
20Rocket514000001727-10312000001310320200000417-1320.200172845006075831515960961663937152515711122627.27%28775.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
21Senators11000000633110000006330000000000021.000610160060758315366096166393726212185120.00%10100.00%0674133150.64%608127547.69%47292950.81%12096751184521998503
22Sound Tigers11000000642110000006420000000000021.00061016006075831530609616639373323625500.00%3233.33%0674133150.64%608127547.69%47292950.81%12096751184521998503
23Thunderbirds20200000711-41010000036-31010000045-100.000714210060758315726096166393772251241800.00%6183.33%0674133150.64%608127547.69%47292950.81%12096751184521998503
24Wolfpack21100000880110000004221010000046-220.500815230060758315636096166393770291435700.00%7185.71%0674133150.64%608127547.69%47292950.81%12096751184521998503
25Wolves43100000161332200000073421100000910-160.7501628440060758315145609616639371314018901317.69%9366.67%0674133150.64%608127547.69%47292950.81%12096751184521998503
Total56222601142223229-628121400101106108-228101201041117121-4570.5092233685911060758315186960961663937178865945711852244118.30%2295476.42%5674133150.64%608127547.69%47292950.81%12096751184521998503
_Since Last GM Reset56222601142223229-628121400101106108-228101201041117121-4570.5092233685911060758315186960961663937178865945711852244118.30%2295476.42%5674133150.64%608127547.69%47292950.81%12096751184521998503
_Vs Conference31121501030124129-51569000005659-31666010306870-2320.51612420032400607583151024609616639379863642756701372921.17%1383574.64%4674133150.64%608127547.69%47292950.81%12096751184521998503
_Vs Division1868010306869-110460000036360822010303233-1200.55668108176006075831559060961663937562208179398981919.39%902473.33%4674133150.64%608127547.69%47292950.81%12096751184521998503

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5657L222336859118691788659457118510
All Games
GPWLOTWOTL SOWSOLGFGA
5622261142223229
Home Games
GPWLOTWOTL SOWSOLGFGA
2812140101106108
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2810121041117121
Last 10 Games
WLOTWOTL SOWSOL
361000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2244118.30%2295476.42%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6096166393760758315
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
674133150.64%608127547.69%47292950.81%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12096751184521998503


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 - 2022-10-272Rocket5Moose4BLR1BoxScore
3 - 2022-10-2911Moose3Condors2AWXXR1BoxScore
6 - 2022-11-0131Moose5Barracuda4AWXXBoxScore
9 - 2022-11-0446Little Stars2Moose4BWBoxScore
12 - 2022-11-0763Griffins3Moose4BWR1BoxScore
14 - 2022-11-0973Moose3Griffins2AWXXBoxScore
16 - 2022-11-1181Moose3Rocket8ALR1BoxScore
19 - 2022-11-1496Barracuda4Moose2BLR1BoxScore
21 - 2022-11-16115Wolves2Moose3BWBoxScore
23 - 2022-11-18126Moose5Wolves3AWBoxScore
26 - 2022-11-21139Condors4Moose3BLR1BoxScore
28 - 2022-11-23151Moose6Condors2AWBoxScore
32 - 2022-11-27171Condors4Moose3BLR1BoxScore
35 - 2022-11-30185Moose8Barracuda4AWBoxScore
37 - 2022-12-02193Griffins5Moose7BWR1BoxScore
39 - 2022-12-04209Moose2Comets4ALBoxScore
42 - 2022-12-07221Eagles6Moose4BLBoxScore
45 - 2022-12-10237Monsters4Moose2BLBoxScore
48 - 2022-12-13250Moose6Phantoms4AWBoxScore
52 - 2022-12-17265Rocket3Moose2BLR1BoxScore
55 - 2022-12-20284Moose4Wolfpack6ALBoxScore
57 - 2022-12-22294Little Stars5Moose4BLXBoxScore
61 - 2022-12-26313Moose2Rampage3ALXXBoxScore
62 - 2022-12-27319Condors2Moose3BWR1BoxScore
66 - 2022-12-31335Moose1Heat3ALBoxScore
67 - 2023-01-01345Griffins4Moose1BLR1BoxScore
70 - 2023-01-04360Moose5Punishers3AWBoxScore
72 - 2023-01-06370Moose2Admirals5ALBoxScore
73 - 2023-01-07376Thunderbirds6Moose3BLBoxScore
77 - 2023-01-11396Heat5Moose3BLBoxScore
81 - 2023-01-15417Moose7Reign4AWBoxScore
82 - 2023-01-16424Senators3Moose6BWBoxScore
85 - 2023-01-19437Moose6Bears1AWBoxScore
87 - 2023-01-21449Bears5Moose4BLXXBoxScore
91 - 2023-01-25469Moose7Reign4AWBoxScore
92 - 2023-01-26475Punishers2Moose5BWBoxScore
95 - 2023-01-29497Wolves1Moose4BWBoxScore
97 - 2023-01-31506Moose8Eagles7AWXXBoxScore
101 - 2023-02-04524Little Stars4Moose2BLBoxScore
104 - 2023-02-07540Moose6Marlies4AWBoxScore
106 - 2023-02-09551Phantoms4Moose5BWBoxScore
108 - 2023-02-11562Moose3Marlies8ALBoxScore
110 - 2023-02-13574Moose4Thunderbirds5ALBoxScore
111 - 2023-02-14581Penguins5Moose3BLBoxScore
115 - 2023-02-18597Moose2Crunch4ALBoxScore
117 - 2023-02-20606Sound Tigers4Moose6BWBoxScore
119 - 2023-02-22618Moose1Rocket9ALR1BoxScore
122 - 2023-02-25634Rocket2Moose7BWBoxScore
124 - 2023-02-27644Moose5Devils3AWBoxScore
126 - 2023-03-01653Moose4Icehogs5ALBoxScore
128 - 2023-03-03662Wolfpack2Moose4BWBoxScore
130 - 2023-03-05680Moose4Wolves7ALBoxScore
132 - 2023-03-07687Heat7Moose4BLBoxScore
134 - 2023-03-09701Moose3Condors2AWXR1BoxScore
136 - 2023-03-11713Moose2Penguins5ALBoxScore
137 - 2023-03-12717Devils5Moose4BLBoxScore
141 - 2023-03-16738Crunch-Moose-
144 - 2023-03-19751Moose-Rocket-
147 - 2023-03-22764Comets-Moose-
149 - 2023-03-24776Moose-Little Stars-
152 - 2023-03-27791Moose-Penguins-
153 - 2023-03-28797Admirals-Moose-
156 - 2023-03-31812Moose-Sound Tigers-
158 - 2023-04-02820Icehogs-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2023-04-05834Moose-Icehogs-
164 - 2023-04-08849Marlies-Moose-
166 - 2023-04-10856Moose-Senators-
168 - 2023-04-12871Barracuda-Moose-
170 - 2023-04-14882Moose-Senators-
172 - 2023-04-16894Moose-Griffins-
174 - 2023-04-18900Moose-Monsters-
176 - 2023-04-20908Barracuda-Moose-
178 - 2023-04-22921Moose-Griffins-
179 - 2023-04-23927Moose-Barracuda-
181 - 2023-04-25936Phantoms-Moose-
183 - 2023-04-27946Moose-Monsters-
186 - 2023-04-30961Reign-Moose-
192 - 2023-05-06986Admirals-Moose-
198 - 2023-05-121010Rampage-Moose-
203 - 2023-05-171027Reign-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance51,73226,312
Attendance PCT92.38%93.97%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
12 2787 - 92.91% 82,699$2,315,564$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,150,652$ 2,326,500$ 1,976,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,294$ 1,493,704$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
992,385$ 67 15,905$ 1,065,635$




Moose Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Goalies Stat Leaders (Regular Season)

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

Moose Career Team Stats

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

Moose Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Goalies Stat Leaders (Play-Off)

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