Your STHS is out of Date! Please update your STHS version!
Please rotate your device to landscape mode for a better experience.
Login

Moose
GP: 80 | W: 38 | L: 39 | OTL: 3 | P: 79
GF: 329 | GA: 360 | PP%: 22.60% | PK%: 76.52%
GM : Pascal Verret | Morale : 39 | Team Overall : 64

Game Center
Icehogs
39-34-7, 85pts
5
FINAL
8 Moose
38-39-3, 79pts
Team Stats
L1StreakL1
21-15-4Home Record24-15-1
18-19-3Home Record14-24-2
3-5-2Last 10 Games7-3-0
4.29Goals Per Game4.11
4.16Goals Against Per Game4.50
27.18%Power Play Percentage22.60%
79.55%Penalty Kill Percentage76.52%
Moose
38-39-3, 79pts
2
FINAL
5 Wolfpack
44-29-7, 95pts
Team Stats
L1StreakW1
24-15-1Home Record25-13-2
14-24-2Home Record19-16-5
7-3-0Last 10 Games5-4-1
4.11Goals Per Game4.08
4.50Goals Against Per Game3.85
22.60%Power Play Percentage20.74%
76.52%Penalty Kill Percentage78.35%
Team Leaders
Goals
Eetu Luostarinen
35
Assists
Juuso Valimaki
50
Points
Eetu Luostarinen
84
Plus/Minus
Joey Keane
12
Wins
Filip Gustavsson
37
Save Percentage
Filip Gustavsson
0.87

Team Stats
Goals For
329
4.11 GFG
Shots For
2587
32.34 Avg
Power Play Percentage
22.6%
73 GF
Offensive Zone Start
35.5%
Goals Against
360
4.50 GAA
Shots Against
2647
33.09 Avg
Penalty Kill Percentage
76.5%%
81 GA
Defensive Zone Start
37.7%
Team Info

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


Arena Info

Capacity3,000
Attendance2,743
Season Tickets300


Roster Info

Pro Team35
Farm Team19
Contract Limit54 / 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)X100.006231947370857966707767746355456048710214900,000$
2Nick PaulX100.006949857176747371697576627152483634700241900,000$
3Reid BoucherX100.006929747079687368757782626657543348700261850,000$
4Morgan Geekie (R)X100.006729807769757471768069485548445782680214900,000$
5Julien Gauthier (R)X100.006729836575716373677377586648464735680221650,000$
6Morgan Barron (R)X100.007350717086488174507072595343445374660214800,000$
7Jake Leschyshyn (R)X100.007736707179678174716964585945436359660204750,000$
8Mitchell Stephens (R)X100.005031967368846854756963665144444550650222600,000$
9Axel Jonsson-Fjallby (R)X100.007340816262605572737167635946465541650212500,000$
10Lukas Rousek (R)X100.005832797758605069546060457443445622600202500,000$
11Riley Damiani (R)X100.005723735752626364706859455341416524580191500,000$
12Aliaksei Protas (R)X100.006936616769537359495958555340408450580182500,000$
13Ludwig BystromX100.007623768077768178537364796476513555740251950,000$
14Juuso Valimaki (R)X100.006229738270776981418255735452455857700212900,000$
15Caleb Jones (R)X100.007544676673724765426358754648464940670223750,000$
16Josh Mahura (R)X100.005838767764676679387258694748454962660212650,000$
17Joey Keane (R)X100.006642846667706370546951666143435236650201500,000$
18Jonny Tychonick (R)X100.005533726155446274275743624241416625580191500,000$
Scratches
1Anders Bjork (R)X100.006829778366726981637364617148474019680231800,000$
2Logan O'Connor (R)X100.007038827072646476696968577349494544670233500,000$
3Boris Katchouk (R)X100.007242786966707475706368587044475937660214750,000$
4Nathan Bastian (R)X100.005344766163756570837065536344464120640221500,000$
5Max Jones (R)X100.007146696873607765517264584943434720630211500,000$
6William Bitten (R)X100.007445656970597367536267546243444619630211500,000$
7Jonatan Berggren (R)X100.005629786358616467697157374641416020580191500,000$
8Jaret Anderson-Dolan (R)X100.006944576059446660505963514442425419570202550,000$
9John Beecher (R)X100.006737615665537465526361464440406922570182500,000$
10Juuso Parssinen (R)X100.006634665358546359575860445940407219550182500,000$
11Alexander Khovanov (R)X100.004423726246626254666352414741415620540191500,000$
12Matthew BenningX90.957122827375776470527363765559543728710251900,000$
13Adam Ginning (R)X77.726544646676714951326547584841415815610191500,000$
TEAM AVERAGE98.99653675686866676859696358574745533764
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
1Filip Gustavsson100.00727581716684856560837259475979720212950,000$
2Daniel Vladar100.00577054716270627468606146465564640221750,000$
Scratches
1Karel Vejmelka100.00766172817762596674517249504520670232650,000$
2Olle Eriksson Ek100.00585164576363536054566142425020570201500,000$
TEAM AVERAGE100.0066646870677065666463674946524665
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar53568572375954CAN552950,000$


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
1Eetu LuostarinenMoose (Win)LW793549845201201312327413515.09%61172321.811014243223721392903344.19%3015433000.9834000525
2Jake LeschyshynMoose (Win)C80294978-49601311301996113514.57%29141417.68717242318310151384149.42%15583922111.1001000251
3Nick PaulMoose (Win)LW60273663-618091721873910514.44%28115319.23612182716610141353237.11%974620111.0901000315
4Juuso ValimakiMoose (Win)D7985058-224807612815265675.26%98172921.895914252090004200130%02958000.6701000011
5Logan O'ConnorMoose (Win)RW7729295852409272199619614.57%19105113.662687710002505033.78%743221011.1000000622
6Morgan GeekieMoose (Win)RW78282856-11240102642306711812.17%25127016.2955101812200082081348.96%965821010.8824000324
7Ludwig BystromMoose (Win)D76144155-20840126187187721017.49%136211627.84512173228611211259310%07781000.5201000114
8Julien GauthierMoose (Win)RW61252348-32007556162548015.43%19104917.21459161830004303139.24%792319000.9111000513
9Matthew BenningMoose (Win)D6764147-2032010813110839385.56%120186227.80279212690224238000%04067000.5000000002
10Morgan BarronMoose (Win)LW75201737-4320113651655310812.12%14102813.7101189000031210256.25%322814000.7200000214
11Axel Jonsson-FjallbyMoose (Win)LW7420143401756447145407813.79%197009.46213315000082060.00%352812000.9700100114
12Anders BjorkMoose (Win)LW30121931-2140512898305812.24%1351217.07651114800003671169.23%13227001.2100000100
13Boris KatchoukMoose (Win)LW73131629-5260856813138839.92%1384711.610224390001462047.37%382614000.6800000101
14Josh MahuraMoose (Win)D80227297375361008330412.41%81112114.02101139000266000%01229000.5200100000
15Mitchell StephensMoose (Win)C70121527300398359203720.34%1685412.211015740001340048.65%520711000.6300000111
16Reid BoucherMoose (Win)C221113242200334063133917.46%1244020.044598490001464050.32%62275001.0912000110
17Caleb JonesMoose (Win)D6932023-128610102715821325.17%80131319.03123101470000155000%0947000.3500010000
18Lukas RousekMoose (Win)RW55121022-11100251480234915.00%24518.2100001000002041.67%12214000.9700000110
19Aliaksei ProtasMoose (Win)RW795914-10380874329143017.24%127339.280002120000111037.04%2759000.3800000020
20Joey KeaneMoose (Win)D5819101222102350246144.17%3773212.6300002000054000%0321000.2700101000
21Riley DamianiMoose (Win)C40549-1018029403081516.67%341810.47000000000220048.29%20542000.4300000000
22Jaret Anderson-DolanMoose (Win)C27224-51803514136615.38%62097.75000000000140049.37%7902000.3800000001
23Nathan BastianMoose (Win)RW31231002161116.67%1248.290000000000000%000002.4100000001
24William BittenMoose (Win)RW7202-20042133415.38%2476.8000000000040020.00%510100.8400000000
25Jonny TychonickMoose (Win)D1801151004176120%619010.580000000004000%005000.1100000000
26John BeecherMoose (Win)C26011-13100211510780%32198.4300000000000037.14%10522000.0900000000
27Adam GinningMoose (Win)D1300016010124100%1114811.460000000003000%01200000000000
28Max JonesMoose (Win)LW3000000000000%000.160000000000000%00000000000000
29Juuso ParssinenMoose (Win)LW15000-8401384120%51409.390000000003000%21100000000000
Team Total or Average1494322525847-12771630169716892677848148212.03%8712350615.73611031642562286549622218351747.87%3900575529340.72715311332239
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
1Filip GustavssonMoose (Win)79373130.8704.2442342129922941056420.58312782211
2Karel VejmelkaMoose (Win)51300.8395.53152001487440100112000
3Olle Eriksson EkMoose (Win)10000.71414.1217004146000001000
4Daniel VladarMoose (Win)150500.8405.7344000422631252000166000
Team Total or Average100383930.8654.454845213592658123163128081211


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 Ginning (Out of Payroll)Moose (Win)D192000-01-01SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$Yes---------------------------
Alexander KhovanovMoose (Win)C192000-01-01RUSYes192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Aliaksei ProtasMoose (Win)RW182001-01-01BLRYes225 Lbs6 ft2NoNoTrade2024-12-09NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Anders BjorkMoose (Win)LW231996-01-01USAYes190 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm800,000$0$0$No---------------------------
Axel Jonsson-FjallbyMoose (Win)LW211998-01-01SWEYes190 Lbs6 ft1NoNoTrade2024-12-29NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Boris KatchoukMoose (Win)LW211998-01-01CANYes206 Lbs6 ft2NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm750,000$0$0$No800,000$850,000$950,000$------750,000$750,000$750,000$------NoNoNo------
Caleb JonesMoose (Win)D221997-01-01USAYes194 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm750,000$0$0$No800,000$850,000$-------750,000$750,000$-------NoNo-------
Daniel VladarMoose (Win)G221997-01-01CZENo185 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Eetu LuostarinenMoose (Win)LW211998-01-01FINYes190 Lbs6 ft3NoNoTrade2025-01-22NoNo42024-09-07FalseFalsePro & Farm900,000$0$0$No1,250,000$2,000,000$2,500,000$------900,000$900,000$900,000$------NoNoNo------
Filip GustavssonMoose (Win)G211998-01-01SWENo183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------
Jake LeschyshynMoose (Win)C201999-01-01USAYes192 Lbs5 ft11NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm750,000$0$0$No800,000$850,000$950,000$------750,000$750,000$750,000$------NoNoNo------
Jaret Anderson-DolanMoose (Win)C201999-01-01CANYes200 Lbs5 ft11NoNoFree AgentNoNo22024-10-11FalseFalsePro & Farm550,000$0$0$No550,000$--------550,000$--------No--------
Joey KeaneMoose (Win)D201999-01-01USAYes187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
John BeecherMoose (Win)C182001-01-01USAYes216 Lbs6 ft3NoNoTrade2025-02-21NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Jonatan BerggrenMoose (Win)RW192000-01-01SWEYes195 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jonny TychonickMoose (Win)D192000-01-01CANYes187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Josh MahuraMoose (Win)D211998-01-01CANYes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------
Julien GauthierMoose (Win)RW221997-01-01CANYes227 Lbs6 ft4NoNoTrade2025-02-23NoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------
Juuso ParssinenMoose (Win)LW182001-01-01FINYes212 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Juuso ValimakiMoose (Win)D211998-01-01FINYes212 Lbs6 ft2NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm900,000$0$0$No950,000$--------900,000$--------No--------
Karel VejmelkaMoose (Win)G231996-01-01CZENo224 Lbs6 ft4NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------
Logan O'ConnorMoose (Win)RW231996-01-01USAYes174 Lbs6 ft0NoNoTrade2024-12-29NoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Ludwig BystromMoose (Win)D251994-01-01SWENo169 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$0$0$No---------------------------
Lukas RousekMoose (Win)RW201999-01-01CZEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Matthew Benning (Out of Payroll)Moose (Win)D251994-01-01CANNo180 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm900,000$0$0$Yes---------------------------
Max JonesMoose (Win)LW211998-01-01USAYes220 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Mitchell StephensMoose (Win)C221997-01-01CANYes193 Lbs5 ft11NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm600,000$0$0$No700,000$--------600,000$--------No--------
Morgan BarronMoose (Win)LW211998-01-01CANYes220 Lbs6 ft4NoNoTrade2025-03-20NoNo42024-08-21FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Morgan GeekieMoose (Win)RW211998-01-01CANYes192 Lbs6 ft3NoNoTrade2025-03-20NoNo42024-08-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------
Nathan BastianMoose (Win)RW221997-01-01CANYes205 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm500,000$0$0$No---------------------------
Nick PaulMoose (Win)LW241995-01-01CANNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Olle Eriksson EkMoose (Win)G201999-01-01SWENo189 Lbs6 ft3NoNoTrade2024-12-29NoNo12024-10-07FalseFalsePro & Farm500,000$0$0$No---------------------------
Reid BoucherMoose (Win)C261993-01-01USANo195 Lbs5 ft10NoNoFree AgentNoNo12025-03-20FalseFalsePro & Farm850,000$0$0$No---------------------------
Riley DamianiMoose (Win)C192000-01-01CANYes170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
William BittenMoose (Win)RW211998-01-01CANYes179 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3521.09195 Lbs6 ft11.86655,714$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu LuostarinenReid BoucherMorgan Geekie35122
2Nick PaulJake LeschyshynJulien Gauthier25122
3Morgan BarronMitchell StephensLukas Rousek20122
4Axel Jonsson-FjallbyRiley DamianiAliaksei Protas20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromJuuso Valimaki40122
2Caleb JonesJosh Mahura30122
3Joey KeaneJonny Tychonick20122
4Ludwig BystromJuuso Valimaki10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu LuostarinenReid BoucherMorgan Geekie60122
2Nick PaulJake LeschyshynJulien Gauthier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromJuuso Valimaki60122
2Caleb JonesJosh Mahura40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Reid BoucherEetu Luostarinen60122
2Jake LeschyshynNick Paul40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromJuuso Valimaki60122
2Caleb JonesJosh Mahura40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Reid Boucher60122Ludwig BystromJuuso Valimaki60122
2Jake Leschyshyn40122Caleb JonesJosh Mahura40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Reid BoucherEetu Luostarinen60122
2Jake LeschyshynNick Paul40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromJuuso Valimaki60122
2Caleb JonesJosh Mahura40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Eetu LuostarinenReid BoucherMorgan GeekieLudwig BystromJuuso Valimaki
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eetu LuostarinenReid BoucherMorgan GeekieLudwig BystromJuuso Valimaki
Extra Forwards
Normal PowerPlayPenalty Kill
Julien Gauthier, Morgan Barron, Jake LeschyshynJulien Gauthier, Morgan BarronJulien Gauthier
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Mahura, Joey Keane, Jonny TychonickJosh MahuraJosh Mahura, Joey Keane
Penalty Shots
Eetu Luostarinen, Nick Paul, Reid Boucher, Morgan Geekie, Julien Gauthier
Goalie
#1 : Filip Gustavsson, #2 : Daniel Vladar
Custom OT Lines Forwards
Eetu Luostarinen, Nick Paul, Reid Boucher, Morgan Geekie, Julien Gauthier, Morgan Barron, Jake Leschyshyn, Axel Jonsson-Fjallby, Mitchell Stephens, Lukas Rousek
Custom OT Lines Defensemen
Ludwig Bystrom, Juuso Valimaki, Caleb Jones, Josh Mahura, Joey Keane


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
1Admirals3120000058-3110000003032020000028-620.33358130110210211999082889984923773424749111.11%12375.00%0832178346.66%904189447.73%656135248.52%167793017217521434715
2Americans3110100010100100010004312110000067-140.66710162600102102119996828899849231103522649222.22%11281.82%0832178346.66%904189447.73%656135248.52%167793017217521434715
3Barracuda64200000272343210000016133321000001110180.667274673001021021199200828899849231816773116291034.48%30776.67%0832178346.66%904189447.73%656135248.52%167793017217521434715
4Bears2110000069-31010000037-41100000032120.500610160010210211995782889984923782212334250.00%7357.14%0832178346.66%904189447.73%656135248.52%167793017217521434715
5Canucks20200000911-21010000067-11010000034-100.000913220010210211996982889984923651514379333.33%7271.43%0832178346.66%904189447.73%656135248.52%167793017217521434715
6Checkers2110000012931100000010461010000025-320.500121830001021021199738288998492363146409222.22%30100.00%1832178346.66%904189447.73%656135248.52%167793017217521434715
7Comets20200000516-111010000036-310100000210-800.0005914001021021199648288998492372171245200.00%6183.33%0832178346.66%904189447.73%656135248.52%167793017217521434715
8Condors63300000323023210000017134312000001517-260.50032548610102102119918982889984923206665413533721.21%26580.77%2832178346.66%904189447.73%656135248.52%167793017217521434715
9Crunch21100000752110000005231010000023-120.500714210010210211996082889984923682914356233.33%7271.43%0832178346.66%904189447.73%656135248.52%167793017217521434715
10Eagles211000009901010000035-21100000064220.500915240010210211995982889984923643314339111.11%7357.14%0832178346.66%904189447.73%656135248.52%167793017217521434715
11Firebirds2020000048-41010000025-31010000023-100.0004711001021021199558288998492367391847300.00%9188.89%0832178346.66%904189447.73%656135248.52%167793017217521434715
12Griffins631001102721632000010189931100100912-390.75027426900102102119918782889984923176567512335617.14%35682.86%0832178346.66%904189447.73%656135248.52%167793017217521434715
13Gulls622010012630-43100100114131312000001217-570.58326457100102102119920482889984923192628413033927.27%371267.57%0832178346.66%904189447.73%656135248.52%167793017217521434715
14Icehogs413000002129-8211000001112-1202000001017-720.2502135560010210211991318288998492317048436913430.77%19952.63%0832178346.66%904189447.73%656135248.52%167793017217521434715
15Islander21000001871110000006421000000123-130.75081422001021021199728288998492373286468450.00%3166.67%0832178346.66%904189447.73%656135248.52%167793017217521434715
16Little Stars532000002824443100000221661010000068-260.60028497710102102119918982889984923170453110121419.05%13192.31%0832178346.66%904189447.73%656135248.52%167793017217521434715
17Marlies422000001217-51010000027-5321000001010040.5001218300010210211991208288998492311534368418316.67%19478.95%0832178346.66%904189447.73%656135248.52%167793017217521434715
18Penguins211000009721010000023-11100000074320.500915240010210211996182889984923722216409222.22%8275.00%0832178346.66%904189447.73%656135248.52%167793017217521434715
19Phantoms312000001215-321100000911-21010000034-120.33312203200102102119911182889984923992730511119.09%15660.00%1832178346.66%904189447.73%656135248.52%167793017217521434715
20Punishers21100000814-610100000311-81100000053220.500816240010210211997682889984923711412495360.00%6183.33%0832178346.66%904189447.73%656135248.52%167793017217521434715
21Rockets311010001192100010005412110000065140.6671118290010210211998482889984923903322691119.09%11281.82%0832178346.66%904189447.73%656135248.52%167793017217521434715
22Senators3110001013130210000109721010000046-240.667131831001021021199948288998492310146325712325.00%16381.25%0832178346.66%904189447.73%656135248.52%167793017217521434715
23Thunderbirds21100000810-21010000036-31100000054120.500815230010210211997282889984923672318286116.67%9277.78%0832178346.66%904189447.73%656135248.52%167793017217521434715
24Wolfpack302010001116-520101000911-21010000025-320.33311193000102102119990828899849231153830749111.11%15380.00%0832178346.66%904189447.73%656135248.52%167793017217521434715
25Wranglers31200000910-1110000006332020000037-420.3339152410102102119984828899849238534286310110.00%140100.00%0832178346.66%904189447.73%656135248.52%167793017217521434715
Total80323904122329360-3140181504021191182940142400101138178-40790.494329549878311021021199258782889984923264788172616433237322.60%3458176.52%4832178346.66%904189447.73%656135248.52%167793017217521434715
_Since Last GM Reset80323904122329360-3140181504021191182940142400101138178-40790.494329549878311021021199258782889984923264788172616433237322.60%3458176.52%4832178346.66%904189447.73%656135248.52%167793017217521434715
_Vs Conference50212203121205215-1023125030211149519279170010091120-29540.540205335540211021021199159082889984923160254252310352234821.52%2455975.92%3832178346.66%904189447.73%656135248.52%167793017217521434715
_Vs Division241280111111210481272010116548171256001004756-9300.625112187299101021021199780828899849237552512865041303224.62%1283076.56%2832178346.66%904189447.73%656135248.52%167793017217521434715

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8079L132954987825872647881726164331
All Games
GPWLOTWOTL SOWSOLGFGA
8032394122329360
Home Games
GPWLOTWOTL SOWSOLGFGA
4018154021191182
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4014240101138178
Last 10 Games
WLOTWOTL SOWSOL
630010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3237322.60%3458176.52%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
828899849231021021199
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
832178346.66%904189447.73%656135248.52%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167793017217521434715


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
413Little Stars2Moose6WBoxScore
522Moose5Marlies3WBoxScore
839Barracuda7Moose5LR1BoxScore
1049Moose2Barracuda4LBoxScore
1259Moose4Gulls9LR1BoxScore
1466Griffins2Moose7WR1BoxScore
1885Condors3Moose5WBoxScore
2096Moose5Condors7LR1BoxScore
22112Gulls4Moose3LXXBoxScore
25128Moose2Marlies6LBoxScore
27135Moose2Griffins8LR1BoxScore
29146Little Stars6Moose3LBoxScore
31159Moose6Condors3WR1BoxScore
32171Moose5Rockets2WBoxScore
34178Phantoms5Moose7WBoxScore
37191Moose1Griffins2LXR1BoxScore
39202Condors7Moose4LBoxScore
41211Moose6Eagles4WBoxScore
46231Barracuda2Moose3WR1BoxScore
48241Moose6Griffins2WR1BoxScore
50253Moose4Condors7LBoxScore
51260Eagles5Moose3LBoxScore
55281Islander4Moose6WBoxScore
60304Bears7Moose3LBoxScore
62315Moose6Icehogs7LBoxScore
64324Moose2Wranglers4LBoxScore
65332Phantoms6Moose2LBoxScore
68351Moose3Canucks4LBoxScore
70356Moose3Marlies1WBoxScore
71362Canucks7Moose6LBoxScore
74382Barracuda4Moose8WR1BoxScore
78401Rockets4Moose5WXBoxScore
81418Moose3Bears2WBoxScore
83427Moose1Wranglers3LBoxScore
85435Crunch2Moose5WBoxScore
88452Moose6Little Stars8LBoxScore
90460Little Stars6Moose8WBoxScore
92473Moose7Penguins4WBoxScore
94484Checkers4Moose10WBoxScore
99507Little Stars2Moose5WBoxScore
104527Moose2Firebirds3LBoxScore
105536Firebirds5Moose2LBoxScore
108549Moose3Gulls6LR1BoxScore
110561Wolfpack7Moose4LBoxScore
114580Moose1Americans3LBoxScore
115590Thunderbirds6Moose3LBoxScore
118601Moose5Gulls2WR1BoxScore
120614Penguins3Moose2LBoxScore
123630Moose4Icehogs10LBoxScore
125640Wolfpack4Moose5WXBoxScore
127649Moose1Admirals3LBoxScore
129664Americans3Moose4WXBoxScore
131671Moose2Comets10LBoxScore
133686Moose3Phantoms4LBoxScore
134695Gulls4Moose5WXR1BoxScore
138717Wranglers3Moose6WBoxScore
140727Moose1Rockets3LBoxScore
142737Moose4Senators6LBoxScore
143747Punishers11Moose3LBoxScore
147767Admirals0Moose3WBoxScore
149781Moose5Americans4WBoxScore
151792Moose5Thunderbirds4WBoxScore
153798Moose1Admirals5LBoxScore
154805Griffins3Moose4WXXR1BoxScore
157821Moose2Crunch3LBoxScore
159829Griffins4Moose7WR1BoxScore
162848Moose2Checkers5LBoxScore
163857Condors3Moose8WR1BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
167876Icehogs7Moose3LBoxScore
169884Moose2Islander3LXXBoxScore
173905Senators4Moose5WXXBoxScore
175915Moose5Punishers3WBoxScore
177927Marlies7Moose2LBoxScore
181951Senators3Moose4WBoxScore
185970Comets6Moose3LBoxScore
189985Moose5Barracuda3WR1BoxScore
191995Gulls5Moose6WBoxScore
1941012Moose4Barracuda3WR1BoxScore
1961022Icehogs5Moose8WBoxScore
2001038Moose2Wolfpack5LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance72,93336,770
Attendance PCT91.17%91.93%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2743 - 91.42% 172,623$6,904,915$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,142,693$ 2,245,000$ 2,245,000$ 950,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,668$ 2,176,120$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,817$ 0$




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