Please rotate your device to landscape mode for a better experience.
Login

Moose
GP: 17 | W: 7 | L: 5 | OTL: 5 | P: 19
GF: 59 | GA: 67 | PP%: 16.39% | PK%: 80.95%
GM : Pascal Verret | Morale : 36 | Team Overall : 63
Next Games #208 vs Islander

Game Center
Moose
7-5-5, 19pts
4
5 Bears
9-5-1, 19pts
Team Stats
W1StreakOTW1
3-2-3Home Record4-3-1
4-3-2Home Record5-2-0
4-2-4Last 10 Games6-4-0
3.47Goals Per Game4.13
3.94Goals Against Per Game3.40
16.39%Power Play Percentage15.09%
80.95%Penalty Kill Percentage56.52%
Condors
5-10-1, 11pts
1
2 Moose
7-5-5, 19pts
Team Stats
L3StreakW1
3-4-1Home Record3-2-3
2-6-0Home Record4-3-2
3-6-1Last 10 Games4-2-4
3.31Goals Per Game3.47
4.06Goals Against Per Game3.94
12.00%Power Play Percentage16.39%
80.00%Penalty Kill Percentage80.95%
Moose
7-5-5, 19pts
Day 35
Islander
10-6-1, 21pts
Team Stats
W1StreakOTL1
3-2-3Home Record3-4-0
4-3-2Away Record7-2-1
4-2-4Last 10 Games5-4-1
3.47Goals Per Game4.35
3.94Goals Against Per Game4.35
16.39%Power Play Percentage19.67%
80.95%Penalty Kill Percentage78.46%
Moose
7-5-5, 19pts
Day 37
Penguins
5-8-3, 13pts
Team Stats
W1StreakOTL1
3-2-3Home Record1-5-2
4-3-2Away Record4-3-1
4-2-4Last 10 Games1-7-2
3.47Goals Per Game3.50
3.94Goals Against Per Game3.50
16.39%Power Play Percentage19.30%
80.95%Penalty Kill Percentage74.24%
Checkers
6-8-1, 13pts
Day 38
Moose
7-5-5, 19pts
Team Stats
OTW1StreakW1
3-4-1Home Record3-2-3
3-4-0Away Record4-3-2
5-4-1Last 10 Games4-2-4
3.67Goals Per Game3.47
4.27Goals Against Per Game3.47
24.62%Power Play Percentage16.39%
81.25%Penalty Kill Percentage80.95%
Team Leaders
Goals
Jake Leschyshyn
9
Assists
Jake Leschyshyn
9
Points
Jake Leschyshyn
18
Plus/Minus
Adam Ginning
8
Wins
Karel Vejmelka
7
Save Percentage
Karel Vejmelka
0.894

Team Stats
Goals For
59
3.47 GFG
Shots For
538
31.65 Avg
Power Play Percentage
16.4%
10 GF
Offensive Zone Start
34.9%
Goals Against
67
3.94 GAA
Shots Against
575
33.82 Avg
Penalty Kill Percentage
81.0%%
12 GA
Defensive Zone Start
37.8%
Team Info

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


Arena Info

Capacity3,000
Attendance2,825
Season Tickets300


Roster Info

Pro Team32
Farm Team19
Contract Limit51 / 250
Prospects0


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 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
1Eetu Luostarinen (R)X100.0066319575728782727381727668634854407302231,250,000$
2Jake Leschyshyn (R)X100.007936737481708378747469616452455740700213800,000$
3Julien Gauthier (R)X100.007229856877736675707679616852484330700231850,000$
4Morgan Barron (R)X100.007550757487538276557373635748454837690223800,000$
5Boris Katchouk (R)X100.007442807269737677726770617247495440690223800,000$
6Logan O'Connor (R)X100.007338847275696776717267607552524140690242500,000$
7Axel Jonsson-Fjallby (R)X100.007641836468645974757471646347475040680221500,000$
8Mitchell Stephens (R)X100.005231967468857059767368675647464140670231700,000$
9Aliaksei Protas (R)X100.007336667173617666556464615942427440630191500,000$
10Cole Perfetti (R)X100.005429776056656159787267435040407630600182500,000$
11Alexander Holtz (R)X100.005427696659646459465779456440407630590182500,000$
12Jean-Luc Foudy (R)X100.005336656647666057737767375640407840590182500,000$
13Juuso Valimaki (R)X100.006729748473807284458458755860465340730221950,000$
14Caleb Jones (R)X100.007744716875744970426863785154484540700232800,000$
15Josh Mahura (R)X100.006239778069706981437561735151474540700221650,000$
16Joey Keane (R)X100.006743856870726572577154696345454840680212700,000$
17Adam Ginning (R)X100.006746656979755152346649605042425140630202500,000$
18Isaak Phillips (R)X100.006844536266754251236441633940406740590182500,000$
Scratches
1Lukas Rousek (R)X100.006033817862625671576262467644454921620211500,000$
2John Beecher (R)X100.006939645867597667576564474641416021600191500,000$
3Riley Damiani (R)X100.005826745956646567716960465542425821590201500,000$
4Jaret Anderson-Dolan (R)X100.007046596260476862556064544643434821580211550,000$
5Elliot Desnoyers (R)X100.006746665375456958496260534540407521570182500,000$
6Juuso Parssinen (R)X100.006835675760586561586062456141416421570191500,000$
7Marat Khusnutdinov (R)X100.004534676451554570536352426440407422550182500,000$
8Brett Berard (R)X100.006739665365536557484957414240407023530182500,000$
9Mikael Pyyhtia (R)X100.005630714261555151495471395342436723530192500,000$
10Daemon Hunt (R)X100.006437554961715448215841524340407423540182500,000$
11Tyrel Bauer (R)X100.004727735849565252284328584040406123510182500,000$
TEAM AVERAGE100.00653773666766646655676257564544593263
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Karel Vejmelka98.00786373837865626877537450514043690241650,000$
2Daniel Vladar100.00607358746673667667636449485044660232500,000$
Scratches
1Olle Eriksson Ek100.00615366596564576355596343434431590211500,000$
TEAM AVERAGE99.3366636672706762696658674747453965
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)RW1771623-240191260293611.67%332819.30358853000050164.10%39214001.4023000111
2Jake LeschyshynMoose (Win)C179918-3180354858134215.52%1037221.8933610520002501050.09%53184010.9712000201
3Eetu LuostarinenMoose (Win)LW178917-100372250154216.00%1438822.881236530001591050.00%32188000.8723000021
4Morgan BarronMoose (Win)C175712-413522296023298.33%529217.212137450001300145.05%20272100.8200010200
5Logan O'ConnorMoose (Win)RW179211-260231140133222.50%423613.880000230000102127.27%1155000.9300000220
6Juuso ValimakiMoose (Win)D17279-922027304226294.76%2546827.58101458000051000%01112000.3800000000
7Caleb JonesMoose (Win)D17088-820035332711110%1946727.53022458000052000%01013000.3400000001
8Jean-Luc FoudyMoose (Win)C17246600841041020.00%11378.0700003000060152.46%6111000.8700000020
9Mitchell StephensMoose (Win)C17156-2007222014145.00%620412.03000013000090051.35%11140000.5900000000
10Josh MahuraMoose (Win)D17066-4601439251090%1734220.16000142000035000%0126000.3500000000
11Axel Jonsson-FjallbyMoose (Win)LW1742612022736112411.11%717210.1700000000000042.86%736000.6900000101
12Isaak PhillipsMoose (Win)D17055510020101520%1421812.8400001000011000%005000.4600000000
13Aliaksei ProtasMoose (Win)RW17235-4602681711411.76%517310.2300000000000150.00%244000.5800000000
14Boris KatchoukMoose (Win)LW17224-81002019278157.41%627015.890111320001200050.00%2273000.3000000000
15Julien GauthierMoose (Win)RW9314-220871721017.65%213815.35011223000021062.50%831000.5812000000
16Cole PerfettiMoose (Win)LW1721312016181171318.18%118510.91000020000170060.00%542000.3200000000
17Alexander HoltzMoose (Win)RW10022300527270%3707.03000010000000100.00%220000.5700000000
18Joey KeaneMoose (Win)D17022-460252417260%1635220.75000042000047000%0212000.1100000000
19Adam GinningMoose (Win)D170228608179550%1322513.2500011000018000%004000.1800000000
20John BeecherMoose (Win)C3101-1002340025.00%2258.3700000000000020.00%500000.8000000000
21Riley DamianiMoose (Win)C3000000000000%020.730000000001000%01000000000000
22Lukas RousekMoose (Win)RW3000-100000000%010.380000000000000%00000000000000
Team Total or Average3175793150-31133537936553820135010.59%173507416.011015254451200054325549.71%103812392110.59610010875
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)147420.8943.487940046433233100.5569132010
2Daniel VladarMoose (Win)50130.8594.802500020142701000413000
Team Total or Average197550.8853.79104500665753032091715010


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 GinningMoose (Win)D202000-01-01SWEYes196 Lbs6 ft3NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------Link
Alexander HoltzMoose (Win)RW182002-01-01SWEYes192 Lbs6 ft0NoNoTrade2025-11-18NoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Aliaksei ProtasMoose (Win)RW192001-01-01BLRYes225 Lbs6 ft2NoNoTrade2024-12-09NoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Axel Jonsson-FjallbyMoose (Win)LW221998-01-01SWEYes190 Lbs6 ft1NoNoTrade2024-12-29NoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Boris KatchoukMoose (Win)LW221998-01-01CANYes206 Lbs6 ft2NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm800,000$643,787$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$402,367$0$0$No500,000$--------500,000$--------No--------
Caleb JonesMoose (Win)D231997-01-01USAYes194 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$643,787$0$0$No850,000$--------750,000$--------No--------Link
Cole PerfettiMoose (Win)LW182002-01-01CANYes177 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Daemon HuntMoose (Win)D182002-01-01CANYes198 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Daniel VladarMoose (Win)G231997-01-01CZENo185 Lbs6 ft5NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------Link
Eetu LuostarinenMoose (Win)LW221998-01-01FINYes190 Lbs6 ft3NoNoTrade2025-01-22NoNo32024-09-07FalseFalsePro & Farm1,250,000$1,005,917$0$0$No2,000,000$2,500,000$-------900,000$900,000$-------NoNo-------Link
Elliot DesnoyersMoose (Win)LW182002-01-01CANYes183 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Isaak PhillipsMoose (Win)D182002-01-01CANYes205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Jake LeschyshynMoose (Win)C211999-01-01USAYes192 Lbs5 ft11NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm800,000$643,787$0$0$No850,000$950,000$-------750,000$750,000$-------NoNo-------Link
Jaret Anderson-DolanMoose (Win)C211999-01-01CANYes200 Lbs5 ft11NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm550,000$442,604$0$0$No---------------------------Link
Jean-Luc FoudyMoose (Win)C182002-01-01CANYes175 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Joey KeaneMoose (Win)D211999-01-01USAYes187 Lbs6 ft0NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm700,000$563,314$0$0$No700,000$--------700,000$--------No--------Link
John BeecherMoose (Win)C192001-01-01USAYes216 Lbs6 ft3NoNoTrade2025-02-21NoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Josh MahuraMoose (Win)D221998-01-01CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$523,077$0$0$No---------------------------Link
Julien GauthierMoose (Win)RW231997-01-01CANYes227 Lbs6 ft4NoNoFree Agent2025-02-23NoNo12025-09-30FalseFalsePro & Farm850,000$684,024$0$0$No---------------------------Link
Juuso ParssinenMoose (Win)LW192001-01-01FINYes212 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Juuso ValimakiMoose (Win)D221998-01-01FINYes212 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$764,497$0$0$No---------------------------Link
Karel VejmelkaMoose (Win)G241996-01-01CZENo224 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm650,000$523,077$0$0$No---------------------------Link
Logan O'ConnorMoose (Win)RW241996-01-01USAYes174 Lbs6 ft0NoNoTrade2024-12-29NoNo2FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------Link
Lukas RousekMoose (Win)RW211999-01-01CZEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Marat KhusnutdinovMoose (Win)C182002-01-01RUSYes176 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Mikael PyyhtiaMoose (Win)LW192001-01-01FINYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Mitchell StephensMoose (Win)C231997-01-01CANYes193 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm700,000$563,314$0$0$No---------------------------Link
Morgan BarronMoose (Win)C221998-01-01CANYes220 Lbs6 ft4NoNoTrade2025-03-20NoNo32024-08-21FalseFalsePro & Farm800,000$643,787$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link
Olle Eriksson EkMoose (Win)G211999-01-01SWENo189 Lbs6 ft3NoNoFree Agent2024-12-29NoNo12025-09-30FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Riley DamianiMoose (Win)C202000-01-01CANYes170 Lbs5 ft10NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$402,367$0$0$No---------------------------Link
Tyrel BauerMoose (Win)D182002-01-01CANYes208 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$402,367$0$0$No500,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3220.47194 Lbs6 ft11.72609,375$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu LuostarinenJake LeschyshynJulien Gauthier40122
2Boris KatchoukMorgan BarronLogan O'Connor30122
3Axel Jonsson-FjallbyMitchell StephensAliaksei Protas20122
4Cole PerfettiJean-Luc FoudyAlexander Holtz10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones40122
2Josh MahuraJoey Keane30122
3Adam GinningIsaak Phillips20122
4Juuso ValimakiCaleb Jones10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu LuostarinenJake LeschyshynJulien Gauthier60122
2Boris KatchoukMorgan BarronLogan O'Connor40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones60122
2Josh MahuraJoey Keane40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake LeschyshynEetu Luostarinen60122
2Morgan BarronBoris Katchouk40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones60122
2Josh MahuraJoey Keane40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Leschyshyn60122Juuso ValimakiCaleb Jones60122
2Morgan Barron40122Josh MahuraJoey Keane40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jake LeschyshynEetu Luostarinen60122
2Morgan BarronBoris Katchouk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCaleb Jones60122
2Josh MahuraJoey Keane40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Eetu LuostarinenJake LeschyshynJulien GauthierJuuso ValimakiCaleb Jones
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eetu LuostarinenJake LeschyshynJulien GauthierJuuso ValimakiCaleb Jones
Extra Forwards
Normal PowerPlayPenalty Kill
Boris Katchouk, Morgan Barron, Axel Jonsson-FjallbyBoris Katchouk, Morgan BarronBoris Katchouk
Extra Defensemen
Normal PowerPlayPenalty Kill
Joey Keane, Adam Ginning, Isaak PhillipsJoey KeaneJoey Keane, Adam Ginning
Penalty Shots
Eetu Luostarinen, Julien Gauthier, Jake Leschyshyn, Logan O'Connor, Boris Katchouk
Goalie
#1 : Karel Vejmelka, #2 : Daniel Vladar, #3 : 0
Custom OT Lines Forwards
Eetu Luostarinen, Julien Gauthier, Jake Leschyshyn, Logan O'Connor, Boris Katchouk, Morgan Barron, Axel Jonsson-Fjallby, Mitchell Stephens, Aliaksei Protas, Cole Perfetti
Custom OT Lines Defensemen
Juuso Valimaki, Caleb Jones, Josh Mahura, Joey Keane, Adam Ginning


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
1Bears1000010045-1000000000001000010045-110.50048120014192283817117917226401912811100.00%6266.67%017735649.72%18538548.05%15427855.40%370206362161314157
2Canucks503020001116-52010100045-130201000711-440.4001117280014192281411711791722616853381081715.88%19194.74%017735649.72%18538548.05%15427855.40%370206362161314157
3Condors11000000211110000002110000000000021.000235001419228291711791722627111031300.00%50100.00%017735649.72%18538548.05%15427855.40%370206362161314157
4Icehogs300001111516-120000101911-21000001065140.667152540001419228100171179172261132725579333.33%10460.00%017735649.72%18538548.05%15427855.40%370206362161314157
5Little Stars1010000024-21010000024-20000000000000.0002350014192283017117917226278825600.00%4175.00%017735649.72%18538548.05%15427855.40%370206362161314157
6Punishers3110001012120100000104312110000089-140.66712172900141922893171179172269331207914214.29%100100.00%017735649.72%18538548.05%15427855.40%370206362161314157
7Roadrunners210001008711000010034-11100000053230.75081220001419228641711791722671171849700.00%8362.50%017735649.72%18538548.05%15427855.40%370206362161314157
8Thunderbirds1000010056-1000000000001000010056-110.500581300141922843171179172263672224375.00%110.00%017735649.72%18538548.05%15427855.40%370206362161314157
Total1735024215967-8812012112428-4923012103539-4190.559599315200141922853817117917226575173133379611016.39%631280.95%017735649.72%18538548.05%15427855.40%370206362161314157
_Since Last GM Reset1735024215967-8812012112428-4923012103539-4190.559599315200141922853817117917226575173133379611016.39%631280.95%017735649.72%18538548.05%15427855.40%370206362161314157
_Vs Conference1735024215967-8812012112428-4923012103539-4190.559599315200141922853817117917226575173133379611016.39%631280.95%017735649.72%18538548.05%15427855.40%370206362161314157
_Vs Division1324022214651-5601012112023-3723010102628-2150.57746711170014192283981711791722644512810129347612.77%47882.98%017735649.72%18538548.05%15427855.40%370206362161314157

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1719W1599315253857517313337900
All Games
GPWLOTWOTL SOWSOLGFGA
173524215967
Home Games
GPWLOTWOTL SOWSOLGFGA
81212112428
Visitor Games
GPWLOTWOTL SOWSOLGFGA
92312103539
Last 10 Games
WLOTWOTL SOWSOL
221311
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
611016.39%631280.95%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
171179172261419228
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17735649.72%18538548.05%15427855.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
370206362161314157


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
35208Moose-Islander-
37225Moose-Penguins-
38233Checkers-Moose-
42254Eagles-Moose-
44265Moose-Admirals-
45277Moose-Thunderbirds-
47285Crunch-Moose-
50305Marlies-Moose-
52317Moose-Checkers-
54326Moose-Little Stars-
55336Wranglers-Moose-
58356Gulls-Moose-
60368Moose-Crunch-
61382Penguins-Moose-
64399Moose-Bears-
65407Barracuda-Moose-
68422Moose-Griffins-
69434Moose-Canucks-
71442Little Stars-Moose-
73457Moose-Rockets-
74466Icehogs-Moose-
77478Moose-Eagles-
79491Punishers-Moose-
81509Moose-Senators-
82516Condors-Moose-
85534Moose-Islander-
87543Firebirds-Moose-
89559Moose-Wranglers-
91568Moose-Gulls-
92576Punishers-Moose-
95595Islander-Moose-
96605Moose-Punishers-
99620Wolfpack-Moose-
101634Moose-Icehogs-
102645Moose-Americans-
103650Comets-Moose-
106673Senators-Moose-
108684Moose-Wolfpack-
110694Moose-Barracuda-
111702Senators-Moose-
114720Moose-Marlies-
115727Thunderbirds-Moose-
118743Moose-Admirals-
119752Americans-Moose-
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
Attendance15,2627,336
Attendance PCT95.39%91.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
32 2825 - 94.16% 178,734$1,429,869$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
580,284$ 2,040,000$ 2,040,000$ 950,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,071$ 394,791$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,719,476$ 136 17,692$ 2,406,112$




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