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Moose
GP: 61 | W: 27 | L: 25 | OTL: 9 | P: 63
GF: 236 | GA: 256 | PP%: 19.57% | PK%: 77.48%
GM : Pascal Verret | Morale : 32 | Team Overall : 63
Next Games #770 vs Eagles

Game Center
Moose
27-25-9, 63pts
6
5 Admirals
27-25-6, 60pts
Team Stats
L1StreakOTL1
11-13-5Home Record14-11-4
16-12-4Home Record13-14-2
6-3-1Last 10 Games2-7-1
3.87Goals Per Game4.31
4.20Goals Against Per Game4.48
19.57%Power Play Percentage24.41%
77.48%Penalty Kill Percentage77.53%
Americans
28-28-3, 59pts
3
1 Moose
27-25-9, 63pts
Team Stats
W1StreakL1
12-16-1Home Record11-13-5
16-12-2Home Record16-12-4
6-3-1Last 10 Games6-3-1
4.32Goals Per Game3.87
4.76Goals Against Per Game4.20
21.46%Power Play Percentage19.57%
80.58%Penalty Kill Percentage77.48%
Moose
27-25-9, 63pts
Day 122
Eagles
29-26-3, 61pts
Team Stats
L1StreakL2
11-13-5Home Record19-10-0
16-12-4Away Record10-16-3
6-3-1Last 10 Games5-5-0
3.87Goals Per Game4.55
4.20Goals Against Per Game4.55
19.57%Power Play Percentage26.99%
77.48%Penalty Kill Percentage78.28%
Rockets
24-28-5, 53pts
Day 124
Moose
27-25-9, 63pts
Team Stats
W2StreakL1
11-14-4Home Record11-13-5
13-14-1Away Record16-12-4
5-5-0Last 10 Games6-3-1
4.07Goals Per Game3.87
4.58Goals Against Per Game3.87
22.40%Power Play Percentage19.57%
78.03%Penalty Kill Percentage77.48%
Moose
27-25-9, 63pts
Day 125
Icehogs
31-23-4, 66pts
Team Stats
L1StreakL2
11-13-5Home Record18-9-2
16-12-4Away Record13-14-2
6-3-1Last 10 Games2-8-0
3.87Goals Per Game4.14
4.20Goals Against Per Game4.14
19.57%Power Play Percentage26.80%
77.48%Penalty Kill Percentage72.97%
Team Leaders
Goals
Morgan Geekie
36
Assists
Juuso Valimaki
51
Points
Morgan Geekie
83
Plus/Minus
Cole Perfetti
6
Wins
Karel Vejmelka
23
Save Percentage
Karel Vejmelka
0.879

Team Stats
Goals For
236
3.87 GFG
Shots For
1980
32.46 Avg
Power Play Percentage
19.6%
45 GF
Offensive Zone Start
35.9%
Goals Against
256
4.20 GAA
Shots Against
2061
33.79 Avg
Penalty Kill Percentage
77.5%%
59 GA
Defensive Zone Start
37.2%
Team Info

General ManagerPascal Verret
CoachJared Bednar
DivisionThayer-Tutt
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,777
Season Tickets300


Roster Info

Pro Team34
Farm Team18
Contract Limit52 / 250
Prospects0


Filter Tips
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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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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Morgan Geekie (R)X100.006829827972777575788373525954465245700223900,000$
2Jake Leschyshyn (R)X100.007936737481708378747469616452455748700213800,000$
3Julien Gauthier (R)X100.007229856877736675707679616852484334700231850,000$
4Morgan Barron (R)X100.007550757487538276557373635748454845690223800,000$
5Boris Katchouk (R)X100.007442807269737677726770617247495448690223800,000$
6Axel Jonsson-Fjallby (R)X100.007641836468645974757471646347475045680221500,000$
7Shane Bowers (R)X100.006335797362695371675971587344475233650211500,000$
8Aliaksei Protas (R)X100.007336667173617666556464615942427448630191500,000$
9Cole Perfetti (R)X100.005429776056656159787267435040407638600182500,000$
10Alexander Holtz (R)X100.005427696659646459465779456440407637590182500,000$
11Jean-Luc Foudy (R)X100.005336656647666057737767375640407835590182500,000$
12Elliot Desnoyers (R)X99.746746665375456958496260534540407514570182500,000$
13Juuso Valimaki (R)X100.006729748473807284458458755860465337730221950,000$
14Caleb Jones (R)X100.007744716875744970426863785154484530700232800,000$
15Adam Boqvist (R)X100.006327808167677784488561704851446347700204650,000$
16Josh Mahura (R)X100.006239778069706981437561735151474549700221650,000$
17Jamie Drysdale (R)X100.007037755446676465326370515840408239600182500,000$
18Jonny Tychonick (R)X100.005734746461466475295944644442425823600202550,000$
Scratches
1Logan O'Connor (R)X100.007338847275696776717267607552524123690242500,000$
2Mitchell Stephens (R)X100.005231967468857059767368675647464124670231700,000$
3Lukas Rousek (R)X100.006033817862625671576262467644454924620211500,000$
4John Beecher (R)X100.006939645867597667576564474641416023600191500,000$
5Jaret Anderson-Dolan (R)X100.007046596260476862556064544643434823580211550,000$
6Juuso Parssinen (R)X100.006835675760586561586062456141416423570191500,000$
7Marat Khusnutdinov (R)X100.004534676451554570536352426440407420550182500,000$
8Brett Berard (R)X100.006739665365536557484957414240407020530182500,000$
9Mikael Pyyhtia (R)X100.005630714261555151495471395342436720530192500,000$
10Joey Keane (R)X97.80674385687072657257715469634545489680212700,000$
11Isaak Phillips (R)X100.006844536266754251236441633940406723590182500,000$
12Daemon Hunt (R)X100.006437554961715448215841524340407419540182500,000$
13Tyrel Bauer (R)X100.004727735849565252284328584040406120510182500,000$
TEAM AVERAGE99.92653673666665646754676257564544603163
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
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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 SPAgeContractSalary
1Daniel Vladar100.00607358746673667667636449485063660232500,000$
Scratches
1Karel Vejmelka93.00786373837865626877537450514058690241650,000$
2Olle Eriksson Ek100.00615366596564576355596343434420590211500,000$
TEAM AVERAGE97.6766636672706762696658674747454765
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar53568572375954CAN561950,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Morgan GeekieMoose (Win)RW56364783-422068492308012615.65%17107319.1691726351840000173361.11%1265218001.5534000553
2Jake LeschyshynMoose (Win)C6135407517401241291986713117.68%36135822.281310233619921361902250.62%20272021011.1012000635
3Juuso ValimakiMoose (Win)D5995160-216808910818877854.79%94162827.605914322040113204110%05051000.7400000112
4Morgan BarronMoose (Win)C61203454-10395127103175498711.43%25107417.6146101216101131371245.48%6973118101.0100010520
5Adam BoqvistMoose (Win)D6053843-123608810313253463.79%67138223.0327922204011187010%02636100.6200000100
6Julien GauthierMoose (Win)RW50232043-4605846111276520.72%1175315.075510141310000131155.10%492112011.1412000102
7Shane BowersMoose (Win)C60221133-51406964119408518.49%1570911.82000002242594151.36%3682311000.9301000004
8Axel Jonsson-FjallbyMoose (Win)LW61141731-21758053118367811.86%2581013.281124681011390047.06%341114000.7700010312
9Caleb JonesMoose (Win)D5142630-370095928036435.00%72135926.66145101760000155100%01650000.4400000004
10Boris KatchoukMoose (Win)LW61121729-72209993111438110.81%31116019.033581516212341564049.00%1002417000.5000000101
11Josh MahuraMoose (Win)D6112627-5455591079936351.01%63128621.09033101621122160000%03049000.4200001000
12Aliaksei ProtasMoose (Win)RW611211230380824389246113.48%2163810.4600000000002142.11%191111000.7200000031
13Logan O'ConnorMoose (Win)RW3211718-5120432763195117.46%1044413.880112490000113152.17%23118000.8100000220
14Jean-Luc FoudyMoose (Win)C5878154160242051173613.73%54547.84101180000310151.41%177114000.6600000020
15Cole PerfettiMoose (Win)LW6166126160485145203713.33%869611.41000070000770147.83%2368000.3400000001
16Jamie DrysdaleMoose (Win)D60369632051514916156.12%34101316.89213379011096000%0520000.1800000000
17Mitchell StephensMoose (Win)C263690008274119257.32%830111.61000013000090050.91%16564000.6000000000
18Alexander HoltzMoose (Win)RW54268-12024204012275.00%73817.0700005000041066.67%6122000.4200000000
19Joey KeaneMoose (Win)D48167-108043633914212.56%5183517.400000790113104000%0528000.1700000000
20Isaak PhillipsMoose (Win)D350664160412441050%2639611.3200004000020000%008000.3000000000
21Jonny TychonickMoose (Win)D19156280111712258.33%1223612.4300000000019000%006000.5100000000
22John BeecherMoose (Win)C23314-2601813153620.00%81807.8400001000031041.77%7942000.4400000000
23Juuso ParssinenMoose (Win)LW911232011100100.00%0283.190000000000000%000001.3900000000
24Daemon HuntMoose (Win)D10011360864110%212012.070000000005000%001000.1700000000
25Elliot DesnoyersMoose (Win)LW29000-58019149560%41826.2800000000050066.67%31300000000000
26Jaret Anderson-DolanMoose (Win)C9000000000000%000.070000000000000%00000000000000
27Lukas RousekMoose (Win)RW10000-100000000%040.430000000000000%31000000000000
Team Total or Average1185231397628-6858315137713242023706115811.42%6521851015.624669115196190671118251613241549.91%3899377402220.6859021251925
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Karel VejmelkaMoose (Win)54232250.8794.022973001991641878530.63611536221
2Daniel VladarMoose (Win)174340.8734.4072220534172111000853000
Team Total or Average71272590.8784.093696202522058108963116159221


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam BoqvistMoose (Win)D202000-01-01SWEYes182 Lbs6 ft0NoNoTrade2026-01-18NoNo42025-08-28FalseFalsePro & Farm650,000$192,308$0$0$No950,000$2,000,000$4,000,000$------950,000$2,000,000$4,000,000$------NoNoNo------Link
Alexander HoltzMoose (Win)RW182002-01-01SWEYes192 Lbs6 ft0NoNoTrade2025-11-18NoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Aliaksei ProtasMoose (Win)RW192001-01-01BLRYes225 Lbs6 ft2NoNoTrade2024-12-09NoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Axel Jonsson-FjallbyMoose (Win)LW221998-01-01SWEYes190 Lbs6 ft1NoNoTrade2024-12-29NoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Boris KatchoukMoose (Win)LW221998-01-01CANYes206 Lbs6 ft2NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm800,000$236,686$0$0$No850,000$950,000$-------750,000$750,000$-------NoNo-------Link
Brett BerardMoose (Win)LW182002-01-01USAYes152 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Caleb JonesMoose (Win)D231997-01-01USAYes194 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$236,686$0$0$No850,000$--------750,000$--------No--------Link
Cole PerfettiMoose (Win)LW182002-01-01CANYes177 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Daemon HuntMoose (Win)D182002-01-01CANYes198 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Daniel VladarMoose (Win)G231997-01-01CZENo185 Lbs6 ft5NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Elliot DesnoyersMoose (Win)LW182002-01-01CANYes183 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Isaak PhillipsMoose (Win)D182002-01-01CANYes205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Jake LeschyshynMoose (Win)C211999-01-01USAYes192 Lbs5 ft11NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm800,000$236,686$0$0$No850,000$950,000$-------750,000$750,000$-------NoNo-------Link
Jamie DrysdaleMoose (Win)D182002-01-01CANYes170 Lbs5 ft11NoNoTrade2025-12-11NoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Jaret Anderson-DolanMoose (Win)C211999-01-01CANYes200 Lbs5 ft11NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm550,000$162,722$0$0$No---------------------------Link
Jean-Luc FoudyMoose (Win)C182002-01-01CANYes175 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Joey KeaneMoose (Win)D211999-01-01USAYes187 Lbs6 ft0NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm700,000$207,101$0$0$No700,000$--------700,000$--------No--------Link
John BeecherMoose (Win)C192001-01-01USAYes216 Lbs6 ft3NoNoTrade2025-02-21NoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Jonny TychonickMoose (Win)D202000-01-01CANYes187 Lbs6 ft0NoNoTrade2025-12-21NoNo22025-10-23FalseFalsePro & Farm550,000$162,722$0$0$No550,000$--------550,000$--------No--------Link
Josh MahuraMoose (Win)D221998-01-01CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$192,308$0$0$No---------------------------Link
Julien GauthierMoose (Win)RW231997-01-01CANYes227 Lbs6 ft4NoNoFree Agent2025-02-23NoNo12025-09-30FalseFalsePro & Farm850,000$251,479$0$0$No---------------------------Link
Juuso ParssinenMoose (Win)LW192001-01-01FINYes212 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Juuso ValimakiMoose (Win)D221998-01-01FINYes212 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Karel VejmelkaMoose (Win)G241996-01-01CZENo224 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm650,000$192,308$0$0$No---------------------------Link
Logan O'ConnorMoose (Win)RW241996-01-01USAYes174 Lbs6 ft0NoNoTrade2024-12-29NoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Lukas RousekMoose (Win)RW211999-01-01CZEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Marat KhusnutdinovMoose (Win)C182002-01-01RUSYes176 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Mikael PyyhtiaMoose (Win)LW192001-01-01FINYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Mitchell StephensMoose (Win)C231997-01-01CANYes193 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm700,000$207,101$0$0$No---------------------------Link
Morgan BarronMoose (Win)C221998-01-01CANYes220 Lbs6 ft4NoNoTrade2025-03-20NoNo32024-08-21FalseFalsePro & Farm800,000$236,686$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link
Morgan GeekieMoose (Win)RW221998-01-01CANYes192 Lbs6 ft3NoNoTrade2025-03-20NoNo32024-08-21FalseFalsePro & Farm900,000$266,272$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Olle Eriksson EkMoose (Win)G211999-01-01SWENo189 Lbs6 ft3NoNoFree Agent2024-12-29NoNo12025-09-30FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Shane BowersMoose (Win)C211999-01-01CANYes185 Lbs6 ft2NoNoTrade2026-01-18NoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Tyrel BauerMoose (Win)D182002-01-01CANYes208 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3420.41193 Lbs6 ft11.79598,529$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Boris KatchoukJake LeschyshynMorgan Geekie40122
2Axel Jonsson-FjallbyMorgan BarronJulien Gauthier30122
3Cole PerfettiShane BowersAliaksei Protas20122
4Elliot DesnoyersJean-Luc FoudyAlexander Holtz10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones40122
2Adam BoqvistJosh Mahura30122
3Jamie DrysdaleJonny Tychonick20122
4Juuso ValimakiCaleb Jones10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Boris KatchoukJake LeschyshynMorgan Geekie60122
2Axel Jonsson-FjallbyMorgan BarronJulien Gauthier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones60122
2Adam BoqvistJosh Mahura40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake LeschyshynBoris Katchouk60122
2Morgan BarronAxel Jonsson-Fjallby40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones60122
2Adam BoqvistJosh Mahura40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Leschyshyn60122Juuso ValimakiCaleb Jones60122
2Morgan Barron40122Adam BoqvistJosh Mahura40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jake LeschyshynBoris Katchouk60122
2Morgan BarronAxel Jonsson-Fjallby40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones60122
2Adam BoqvistJosh Mahura40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Boris KatchoukJake LeschyshynMorgan GeekieJuuso ValimakiCaleb Jones
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Boris KatchoukJake LeschyshynMorgan GeekieJuuso ValimakiCaleb Jones
Extra Forwards
Normal PowerPlayPenalty Kill
Morgan Barron, Axel Jonsson-Fjallby, Shane BowersMorgan Barron, Axel Jonsson-FjallbyMorgan Barron
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Mahura, Jamie Drysdale, Jonny TychonickJosh MahuraJosh Mahura, Jamie Drysdale
Penalty Shots
Morgan Geekie, Julien Gauthier, Jake Leschyshyn, Boris Katchouk, Morgan Barron
Goalie
#1 : , #2 : Daniel Vladar
Custom OT Lines Forwards
Morgan Geekie, Julien Gauthier, Jake Leschyshyn, Boris Katchouk, Morgan Barron, Axel Jonsson-Fjallby, Shane Bowers, Aliaksei Protas, Cole Perfetti, Alexander Holtz
Custom OT Lines Defensemen
Juuso Valimaki, Caleb Jones, Adam Boqvist, Josh Mahura, Jamie Drysdale


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
1Admirals21001000963000000000002100100096341.0009172600718474126866064863549751520401317.69%10280.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
2Americans20200000610-41010000013-21010000057-200.00061016007184741253660648635496917163210110.00%8275.00%1657132649.55%686137649.85%50599350.86%129571112995811105551
3Barracuda20000200911-21000010045-11000010056-120.5009132200718474126766064863549721322338337.50%11463.64%0657132649.55%686137649.85%50599350.86%129571112995811105551
4Bears20100100711-40000000000020100100711-410.2507132000718474127166064863549743818323133.33%9277.78%0657132649.55%686137649.85%50599350.86%129571112995811105551
5Canucks604020001420-62010100045-1403010001015-540.33314213500718474121796606486354920766461251815.56%23195.65%0657132649.55%686137649.85%50599350.86%129571112995811105551
6Checkers21000010954100000104311100000052341.0009142300718474127566064863549631914555360.00%7271.43%0657132649.55%686137649.85%50599350.86%129571112995811105551
7Comets11000000312110000003120000000000021.000369007184741226660648635491464245120.00%20100.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
8Condors2110000045-12110000045-10000000000020.50045900718474124366064863549562526518112.50%13192.31%0657132649.55%686137649.85%50599350.86%129571112995811105551
9Crunch2020000037-41010000013-21010000024-200.00036900718474125566064863549641420498337.50%10280.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
10Eagles2020000048-41010000035-21010000013-200.000481210718474125866064863549541722477114.29%11281.82%0657132649.55%686137649.85%50599350.86%129571112995811105551
11Firebirds1010000059-41010000059-40000000000000.000591400718474123166064863549431910252150.00%5260.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
12Griffins11000000321000000000001100000032121.0003580071847412316606486354936810227228.57%5180.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
13Gulls21100000910-11010000046-21100000054120.50091625107184741265660648635497412184014214.29%9455.56%0657132649.55%686137649.85%50599350.86%129571112995811105551
14Icehogs51000211272523100010117152200001101010070.70027467300718474121646606486354918046619515533.33%28775.00%1657132649.55%686137649.85%50599350.86%129571112995811105551
15Islander303000001323-101010000057-220200000816-800.000132336007184741210166064863549110303267900.00%16756.25%1657132649.55%686137649.85%50599350.86%129571112995811105551
16Little Stars3110010012932010010047-31100000082630.500122234007184741211066064863549952229701317.69%12375.00%1657132649.55%686137649.85%50599350.86%129571112995811105551
17Marlies211000007611010000013-21100000063320.5007111810718474126266064863549633114526116.67%7185.71%0657132649.55%686137649.85%50599350.86%129571112995811105551
18Penguins211000001013-31010000027-51100000086220.50010172700718474126966064863549751918365120.00%9455.56%0657132649.55%686137649.85%50599350.86%129571112995811105551
19Punishers632000102224-2311000101013-3321000001211180.667223355007184741218966064863549210624813323313.04%24291.67%0657132649.55%686137649.85%50599350.86%129571112995811105551
20Roadrunners210001008711000010034-11100000053230.750812200071847412646606486354971171849700.00%8362.50%0657132649.55%686137649.85%50599350.86%129571112995811105551
21Rockets11000000716000000000001100000071621.00071320007184741232660648635493111223500.00%10100.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
22Senators31101000912-3210010007521010000027-540.6679182700718474121136606486354911444236710110.00%9277.78%1657132649.55%686137649.85%50599350.86%129571112995811105551
23Thunderbirds32000100141221100000043121000100109150.8331423370071847412107660648635498531105716637.50%5180.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
24Wolfpack20200000914-51010000069-31010000035-200.0009162500718474127066064863549681820473133.33%10370.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
25Wranglers220000001358110000008351100000052341.000132235007184741277660648635495819205510550.00%10190.00%0657132649.55%686137649.85%50599350.86%129571112995811105551
Total61202504831236256-202971302421100121-21321312024101361351630.5162363996353071847412198066064863549206161954113262304519.57%2625977.48%5657132649.55%686137649.85%50599350.86%129571112995811105551
_Since Last GM Reset61202504831236256-202971302421100121-21321312024101361351630.5162363996353071847412198066064863549206161954113262304519.57%2625977.48%5657132649.55%686137649.85%50599350.86%129571112995811105551
_Vs Conference39111504621145164-191856023115967-82169023108697-11410.526145243388007184741212626606486354913464133478181452114.48%1653380.00%5657132649.55%686137649.85%50599350.86%129571112995811105551
_Vs Division1956023217176-5922012113437-31034011103739-2220.5797111218300718474125966606486354966819117340263914.29%831384.34%1657132649.55%686137649.85%50599350.86%129571112995811105551

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6163L123639963519802061619541132630
All Games
GPWLOTWOTL SOWSOLGFGA
6120254831236256
Home Games
GPWLOTWOTL SOWSOLGFGA
297132421100121
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3213122410136135
Last 10 Games
WLOTWOTL SOWSOL
432100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2304519.57%2625977.48%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6606486354971847412
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
657132649.55%686137649.85%50599350.86%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
129571112995811105551


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
18Moose5Roadrunners3WBox score
317Moose1Canucks2LBox score
423Canucks2Moose3WXBox score
640Punishers3Moose4WXXBox score
749Moose1Canucks5LBox score
857Moose5Thunderbirds6LXBox score
1172Little Stars4Moose2LBox score
1489Moose2Punishers5LBox score
16103Roadrunners4Moose3LXBox score
18116Moose6Punishers4WBox score
20126Icehogs5Moose4LXBox score
21136Moose6Icehogs5WXXBox score
23145Moose5Canucks4WXBox score
25156Canucks3Moose1LBox score
28177Icehogs6Moose5LXXBox score
30188Moose4Bears5LXBox score
33202Condors1Moose2WR1Box score
35208Moose3Islander9LBox score
37225Moose8Penguins6WBox score
38233Checkers3Moose4WXXBox score
42254Eagles5Moose3LBox score
44265Moose3Admirals1WBox score
45277Moose5Thunderbirds3WBox score
47285Crunch3Moose1LBox score
50305Marlies3Moose1LBox score
52317Moose5Checkers2WBox score
54326Moose8Little Stars2WBox score
55336Wranglers3Moose8WBox score
58356Gulls6Moose4LR1Box score
60368Moose2Crunch4LBox score
61382Penguins7Moose2LBox score
64399Moose3Bears6LBox score
65407Barracuda5Moose4LXR1Box score
68422Moose3Griffins2WR1Box score
69434Moose3Canucks4LBox score
71442Little Stars3Moose2LXBox score
73457Moose7Rockets1WBox score
74466Icehogs4Moose8WBox score
77478Moose1Eagles3LBox score
79491Punishers2Moose3WBox score
81509Moose2Senators7LBox score
82516Condors4Moose2LR1Box score
85534Moose5Islander7LBox score
87543Firebirds9Moose5LBox score
89559Moose5Wranglers2WBox score
91568Moose5Gulls4WR1Box score
92576Punishers8Moose3LBox score
95595Islander7Moose5LBox score
96605Moose4Punishers2WBox score
99620Wolfpack9Moose6LBox score
101634Moose4Icehogs5LXBox score
102645Moose5Americans7LBox score
103650Comets1Moose3WBox score
106673Senators4Moose5WXBox score
108684Moose3Wolfpack5LBox score
110694Moose5Barracuda6LXR1Box score
111702Senators1Moose2WBox score
114720Moose6Marlies3WBox score
115727Thunderbirds3Moose4WBox score
118743Moose6Admirals5WXBox score
119752Americans3Moose1LBox score
122770Moose-Eagles-
124780Rockets-Moose-
125791Moose-Icehogs-
127803Moose-Canucks-
128806Griffins-Moose-
131821Moose-Roadrunners-
132832Rockets-Moose-
135847Moose-Roadrunners-
136858Comets-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
140883Admirals-Moose-
145909Bears-Moose-
148930Canucks-Moose-
149937Moose-Comets-
153957Little Stars-Moose-
154964Moose-Firebirds-
157982Americans-Moose-
158989Moose-Condors-
1621010Roadrunners-Moose-
1661036Roadrunners-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance54,04526,493
Attendance PCT93.18%91.36%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 2777 - 92.57% 175,345$5,085,013$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,096,747$ 2,035,000$ 2,035,000$ 950,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,041$ 1,427,793$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,928,798$ 50 17,663$ 883,150$




Moose Players 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 Players 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