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Moose
GP: 16 | W: 6 | L: 5 | OTL: 5 | P: 17
GF: 57 | GA: 66 | PP%: 17.24% | PK%: 79.31%
GM : Pascal Verret | Morale : 34 | Team Overall : 63
Next Games #202 vs Condors

Game Center
Icehogs
6-6-2, 14pts
6
5 Moose
6-5-5, 17pts
Team Stats
OTL1StreakOTL1
3-3-2Home Record2-2-3
3-3-0Home Record4-3-2
4-4-2Last 10 Games3-3-4
4.07Goals Per Game3.56
4.79Goals Against Per Game4.13
26.32%Power Play Percentage17.24%
71.67%Penalty Kill Percentage79.31%
Moose
6-5-5, 17pts
4
5 Bears
9-5-1, 19pts
Team Stats
OTL1StreakOTW1
2-2-3Home Record4-3-1
4-3-2Home Record5-2-0
3-3-4Last 10 Games6-4-0
3.56Goals Per Game4.13
4.13Goals Against Per Game3.40
17.24%Power Play Percentage15.09%
79.31%Penalty Kill Percentage56.52%
Condors
5-9-1, 11pts
Day 33
Moose
6-5-5, 17pts
Team Stats
L2StreakOTL1
3-4-1Home Record2-2-3
2-5-0Away Record4-3-2
3-6-1Last 10 Games3-3-4
3.47Goals Per Game3.56
4.20Goals Against Per Game3.56
13.33%Power Play Percentage17.24%
78.72%Penalty Kill Percentage79.31%
Moose
6-5-5, 17pts
Day 35
Islander
10-6-1, 21pts
Team Stats
OTL1StreakOTL1
2-2-3Home Record3-4-0
4-3-2Away Record7-2-1
3-3-4Last 10 Games5-4-1
3.56Goals Per Game4.35
4.13Goals Against Per Game4.35
17.24%Power Play Percentage19.67%
79.31%Penalty Kill Percentage78.46%
Moose
6-5-5, 17pts
Day 37
Penguins
5-8-3, 13pts
Team Stats
OTL1StreakOTL1
2-2-3Home Record1-5-2
4-3-2Away Record4-3-1
3-3-4Last 10 Games1-7-2
3.56Goals Per Game3.50
4.13Goals Against Per Game3.50
17.24%Power Play Percentage19.30%
79.31%Penalty Kill Percentage74.24%
Team Leaders
Goals
Jake Leschyshyn
9
Assists
Morgan Geekie
16
Points
Morgan Geekie
23
Plus/Minus
Adam Ginning
8
Wins
Karel Vejmelka
6
Save Percentage
Karel Vejmelka
0.889

Team Stats
Goals For
57
3.56 GFG
Shots For
509
31.81 Avg
Power Play Percentage
17.2%
10 GF
Offensive Zone Start
35.0%
Goals Against
66
4.13 GAA
Shots Against
548
34.25 Avg
Penalty Kill Percentage
79.3%%
12 GA
Defensive Zone Start
37.6%
Team Info

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


Arena Info

Capacity3,000
Attendance2,852
Season Tickets300


Roster Info

Pro Team33
Farm Team18
Contract Limit51 / 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.
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)X100.0066319575728782727381727668634854387302231,250,000$
2Morgan Geekie (R)X100.006829827972777575788373525954465238700223900,000$
3Jake Leschyshyn (R)X100.007936737481708378747469616452455738700213800,000$
4Morgan Barron (R)X100.007550757487538276557373635748454835690223800,000$
5Boris Katchouk (R)X100.007442807269737677726770617247495438690223800,000$
6Logan O'Connor (R)X100.007338847275696776717267607552524138690242500,000$
7Axel Jonsson-Fjallby (R)X100.007641836468645974757471646347475038680221500,000$
8Mitchell Stephens (R)X100.005231967468857059767368675647464138670231700,000$
9Aliaksei Protas (R)X100.007336667173617666556464615942427438630191500,000$
10Cole Perfetti (R)X100.005429776056656159787267435040407628600182500,000$
11Alexander Holtz (R)X100.005427696659646459465779456440407628590182500,000$
12Jean-Luc Foudy (R)X100.005336656647666057737767375640407838590182500,000$
13Juuso Valimaki (R)X100.006729748473807284458458755860465338730221950,000$
14Caleb Jones (R)X100.007744716875744970426863785154484538700232800,000$
15Josh Mahura (R)X100.006239778069706981437561735151474538700221650,000$
16Joey Keane (R)X100.006743856870726572577154696345454838680212700,000$
17Adam Ginning (R)X100.006746656979755152346649605042425138630202500,000$
18Isaak Phillips (R)X100.006844536266754251236441633940406738590182500,000$
Scratches
1Julien Gauthier (R)X100.007229856877736675707679616852484331700231850,000$
2Lukas Rousek (R)X100.006033817862625671576262467644454922620211500,000$
3John Beecher (R)X100.006939645867597667576564474641416022600191500,000$
4Riley Damiani (R)X100.005826745956646567716960465542425822590201500,000$
5Jaret Anderson-Dolan (R)X100.007046596260476862556064544643434822580211550,000$
6Elliot Desnoyers (R)X100.006746665375456958496260534540407522570182500,000$
7Juuso Parssinen (R)X100.006835675760586561586062456141416422570191500,000$
8Marat Khusnutdinov (R)X100.004534676451554570536352426440407423550182500,000$
9Brett Berard (R)X100.006739665365536557484957414240407024530182500,000$
10Mikael Pyyhtia (R)X100.005630714261555151495471395342436724530192500,000$
11Daemon Hunt (R)X100.006437554961715448215841524340407424540182500,000$
12Tyrel Bauer (R)X100.004727735849565252284328584040406124510182500,000$
TEAM AVERAGE100.00653673666766656656676256564644583163
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 Vejmelka99.00786373837865626877537450514042690241650,000$
2Daniel Vladar100.00607358746673667667636449485042660232500,000$
Scratches
1Olle Eriksson Ek100.00615366596564576355596343434431590211500,000$
TEAM AVERAGE99.6766636672706762696658674747453865
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar53568572375954CAN561950,000$


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
# 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)RW1671623-240181255273212.73%331219.53358750000050164.10%39214001.4723000111
2Jake LeschyshynMoose (Win)C169918-3180334756134216.07%1035121.9433610490002451050.50%50174011.0312000201
3Eetu LuostarinenMoose (Win)LW168917-200322148143916.67%1336722.961236500001541048.39%31178000.9323000021
4Morgan BarronMoose (Win)C164711-411522295319287.55%527517.232135420001270044.97%18972100.8000010200
5Logan O'ConnorMoose (Win)RW168210-360191038133021.05%322113.850000200000101127.27%1154000.9000000120
6Juuso ValimakiMoose (Win)D16279-1018024284125294.88%2544527.83101455000048000%01111000.4000000000
7Caleb JonesMoose (Win)D16066-918033322610110%1844327.74022455000049000%01013000.2700000000
8Jean-Luc FoudyMoose (Win)C1624650074104820.00%11277.9600002000040151.72%5811000.9400000020
9Mitchell StephensMoose (Win)C16156-3006222014135.00%619212.06000013000090050.46%10940000.6200000000
10Josh MahuraMoose (Win)D16066-4601236231080%1232120.07000139000031000%0125000.3700000000
11Axel Jonsson-FjallbyMoose (Win)LW1642612021735112211.43%716410.2600000000000042.86%736000.7300000101
12Isaak PhillipsMoose (Win)D160555801991420%1420412.750000100009000%005000.4900000000
13Aliaksei ProtasMoose (Win)RW16235-3602281711411.76%516310.2000000000000150.00%244000.6100000000
14Boris KatchoukMoose (Win)LW16224-71002017257138.00%625215.780111290001170052.38%2173000.3200000000
15Julien GauthierMoose (Win)RW9314-220871721017.65%213815.35011223000021062.50%831000.5812000000
16Cole PerfettiMoose (Win)LW1620202016151071320.00%117210.79000020000150060.00%532000.2300000000
17Alexander HoltzMoose (Win)RW9022300426270%2616.88000010000000100.00%220000.6500000000
18Joey KeaneMoose (Win)D16022-460222217260%1532920.62000040000042000%0211000.1200000000
19Adam GinningMoose (Win)D160228608167440%1221113.2100011000016000%004000.1900000000
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 Average2995590145-36123534834750918933110.81%162478416.001015254148200053924449.80%98812088110.61610010774
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)136420.8893.687340045406218100.5569122000
2Daniel VladarMoose (Win)50130.8594.802500020142701000412000
Team Total or Average186550.8813.9698500655482882091614000


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$405,325$0$0$No500,000$--------500,000$--------No--------Link
Alexander HoltzMoose (Win)RW182002-01-01SWEYes192 Lbs6 ft0NoNoTrade2025-11-18NoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Aliaksei ProtasMoose (Win)RW192001-01-01BLRYes225 Lbs6 ft2NoNoTrade2024-12-09NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Axel Jonsson-FjallbyMoose (Win)LW221998-01-01SWEYes190 Lbs6 ft1NoNoTrade2024-12-29NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Boris KatchoukMoose (Win)LW221998-01-01CANYes206 Lbs6 ft2NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm800,000$648,521$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$405,325$0$0$No500,000$--------500,000$--------No--------
Caleb JonesMoose (Win)D231997-01-01USAYes194 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$648,521$0$0$No850,000$--------750,000$--------No--------Link
Cole PerfettiMoose (Win)LW182002-01-01CANYes177 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Daemon HuntMoose (Win)D182002-01-01CANYes198 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Daniel VladarMoose (Win)G231997-01-01CZENo185 Lbs6 ft5NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Link
Eetu LuostarinenMoose (Win)LW221998-01-01FINYes190 Lbs6 ft3NoNoTrade2025-01-22NoNo32024-09-07FalseFalsePro & Farm1,250,000$1,013,314$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$405,325$0$0$No500,000$--------500,000$--------No--------
Isaak PhillipsMoose (Win)D182002-01-01CANYes205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Jake LeschyshynMoose (Win)C211999-01-01USAYes192 Lbs5 ft11NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm800,000$648,521$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$445,858$0$0$No---------------------------Link
Jean-Luc FoudyMoose (Win)C182002-01-01CANYes175 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Joey KeaneMoose (Win)D211999-01-01USAYes187 Lbs6 ft0NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Link
John BeecherMoose (Win)C192001-01-01USAYes216 Lbs6 ft3NoNoTrade2025-02-21NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Josh MahuraMoose (Win)D221998-01-01CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$526,923$0$0$No---------------------------Link
Julien GauthierMoose (Win)RW231997-01-01CANYes227 Lbs6 ft4NoNoFree Agent2025-02-23NoNo12025-09-30FalseFalsePro & Farm850,000$689,053$0$0$No---------------------------Link
Juuso ParssinenMoose (Win)LW192001-01-01FINYes212 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Juuso ValimakiMoose (Win)D221998-01-01FINYes212 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Link
Karel VejmelkaMoose (Win)G241996-01-01CZENo224 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm650,000$526,923$0$0$No---------------------------Link
Logan O'ConnorMoose (Win)RW241996-01-01USAYes174 Lbs6 ft0NoNoTrade2024-12-29NoNo2FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Link
Lukas RousekMoose (Win)RW211999-01-01CZEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Marat KhusnutdinovMoose (Win)C182002-01-01RUSYes176 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Mikael PyyhtiaMoose (Win)LW192001-01-01FINYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Mitchell StephensMoose (Win)C231997-01-01CANYes193 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm700,000$567,456$0$0$No---------------------------Link
Morgan BarronMoose (Win)C221998-01-01CANYes220 Lbs6 ft4NoNoTrade2025-03-20NoNo32024-08-21FalseFalsePro & Farm800,000$648,521$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$729,586$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$405,325$0$0$No---------------------------Link
Riley DamianiMoose (Win)C202000-01-01CANYes170 Lbs5 ft10NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Tyrel BauerMoose (Win)D182002-01-01CANYes208 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3320.52194 Lbs6 ft11.76618,182$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu LuostarinenJake LeschyshynMorgan Geekie40122
2Boris KatchoukMorgan BarronAliaksei Protas30122
3Cole PerfettiMitchell StephensLogan O'Connor20122
4Axel Jonsson-FjallbyJean-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 LeschyshynMorgan Geekie60122
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 LeschyshynMorgan GeekieJuuso ValimakiCaleb Jones
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eetu LuostarinenJake LeschyshynMorgan GeekieJuuso 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, Morgan Geekie, Jake Leschyshyn, Logan O'Connor, Boris Katchouk
Goalie
#1 : Karel Vejmelka, #2 : Daniel Vladar
Custom OT Lines Forwards
Eetu Luostarinen, Morgan Geekie, 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
1Bears1000010045-1000000000001000010045-110.50048120013192183816016716626401912811100.00%6266.67%017233950.74%17336447.53%14726655.26%349195342152296148
2Canucks503020001116-52010100045-130201000711-440.4001117280013192181411601671662616853381081715.88%19194.74%017233950.74%17336447.53%14726655.26%349195342152296148
3Icehogs300001111516-120000101911-21000001065140.667152540001319218100160167166261132725579333.33%10460.00%017233950.74%17336447.53%14726655.26%349195342152296148
4Little Stars1010000024-21010000024-20000000000000.0002350013192183016016716626278825600.00%4175.00%017233950.74%17336447.53%14726655.26%349195342152296148
5Punishers3110001012120100000104312110000089-140.66712172900131921893160167166269331207914214.29%100100.00%017233950.74%17336447.53%14726655.26%349195342152296148
6Roadrunners210001008711000010034-11100000053230.75081220001319218641601671662671171849700.00%8362.50%017233950.74%17336447.53%14726655.26%349195342152296148
7Thunderbirds1000010056-1000000000001000010056-110.500581300131921843160167166263672224375.00%110.00%017233950.74%17336447.53%14726655.26%349195342152296148
Total1625024215766-9702012112227-5923012103539-4170.531579014700131921850916016716626548162123348581017.24%581279.31%017233950.74%17336447.53%14726655.26%349195342152296148
_Since Last GM Reset1625024215766-9702012112227-5923012103539-4170.531579014700131921850916016716626548162123348581017.24%581279.31%017233950.74%17336447.53%14726655.26%349195342152296148
_Vs Conference1625024215766-9702012112227-5923012103539-4170.531579014700131921850916016716626548162123348581017.24%581279.31%017233950.74%17336447.53%14726655.26%349195342152296148
_Vs Division1324022214651-5601012112023-3723010102628-2150.57746711170013192183981601671662644512810129347612.77%47882.98%017233950.74%17336447.53%14726655.26%349195342152296148

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1617OTL1579014750954816212334800
All Games
GPWLOTWOTL SOWSOLGFGA
162524215766
Home Games
GPWLOTWOTL SOWSOLGFGA
70212112227
Visitor Games
GPWLOTWOTL SOWSOLGFGA
92312103539
Last 10 Games
WLOTWOTL SOWSOL
131311
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
581017.24%581279.31%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
160167166261319218
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17233950.74%17336447.53%14726655.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
349195342152296148


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
33202Condors-Moose-
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
Attendance13,4616,506
Attendance PCT96.15%92.94%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
33 2852 - 95.08% 180,376$1,262,635$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
562,592$ 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$ 382,720$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,952,422$ 137 17,692$ 2,423,804$




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