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Moose
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 6 | GA: 8 | PP%: 21.43% | PK%: 83.33%
GM : Luca | Morale : 98 | Team Overall : N/A
Next Games #55 vs Senators

Game Center
Moose
1-2-0, 2pts
2
FINAL
3 Grisards
3-0-1, 7pts
Team Stats
W1StreakOTL1
0-1-0Home Record2-0-0
1-1-0Home Record1-0-1
1-2-0Last 10 Games3-0-1
2.00Goals Per Game4.25
2.67Goals Against Per Game3.75
21.43%Power Play Percentage41.67%
83.33%Penalty Kill Percentage60.00%
Moose
1-2-0, 2pts
3
FINAL
2 Americans
2-1-0, 4pts
Team Stats
W1StreakW1
0-1-0Home Record1-1-0
1-1-0Home Record1-0-0
1-2-0Last 10 Games2-1-0
2.00Goals Per Game4.67
2.67Goals Against Per Game3.67
21.43%Power Play Percentage41.67%
83.33%Penalty Kill Percentage76.47%
Senators
0-1-1, 1pts
Day 8
Moose
1-2-0, 2pts
Team Stats
L1StreakW1
0-1-1Home Record0-1-0
0-0-0Away Record1-1-0
0-1-1Last 10 Games1-2-0
2.50Goals Per Game2.00
4.50Goals Against Per Game2.00
30.00%Power Play Percentage21.43%
83.33%Penalty Kill Percentage83.33%
Whalers
2-2-0, 4pts
Day 10
Moose
1-2-0, 2pts
Team Stats
W1StreakW1
1-1-0Home Record0-1-0
1-1-0Away Record1-1-0
2-2-0Last 10 Games1-2-0
3.50Goals Per Game2.00
3.25Goals Against Per Game2.00
28.57%Power Play Percentage21.43%
57.14%Penalty Kill Percentage83.33%
Moose
1-2-0, 2pts
Day 12
Bears
2-1-0, 4pts
Team Stats
W1StreakW1
0-1-0Home Record2-0-0
1-1-0Away Record0-1-0
1-2-0Last 10 Games2-1-0
2.00Goals Per Game4.67
2.67Goals Against Per Game4.67
21.43%Power Play Percentage80.00%
83.33%Penalty Kill Percentage83.33%
Team Leaders
Goals
Justin Brazeau
1
Assists
Justin Brazeau
2
Points
Justin Brazeau
3
Plus/Minus
Ilya Fedotov
1
Wins
Arturs Silovs
1
Save Percentage
Arturs Silovs
0.923

Team Stats
Goals For
6
2.00 GFG
Shots For
61
20.33 Avg
Power Play Percentage
21.4%
3 GF
Offensive Zone Start
32.9%
Goals Against
8
2.67 GAA
Shots Against
104
34.67 Avg
Penalty Kill Percentage
83.3%%
1 GA
Defensive Zone Start
40.9%
Team Info

General ManagerLuca
CoachTravis Green
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,523
Season Tickets800


Roster Info

Pro Team40
Farm Team21
Contract Limit61 / 65
Prospects19


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.
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5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Justin BrazeauXX100.0073509376867893726167696965576409100261650,000$
2Max SassonXXX100.00665095766977917164676867654657096002421,100,000$
3Mitchell RussellXXX100.0060606060607070606060606060465809700231792,750$
4Axel Jonsson FjallbyXX100.00606060606070706060606060605463096002611,155,000$
5Max DomiXXX100.0064568582788192757573686765586308800292705,000$
6Tyce ThompsonX100.0060606060607070606060606060495709600252909,563$
7Calvin ThurkaufXXX100.0060606060607070606060606060596609700271650,000$
8Jordan FrascaX100.0060606060607070606060606060465809400231729,750$
9Ethan CardwellXX100.0063508971687892666268647365405509700221825,000$
10Jacob QuillanXXX100.0062509069777591636163636765405509700222682,500$
11Arttu HyryXXX100.0060509470817693657565656865405509600232834,750$
12Dylan Duke (R)XX100.0070508870677590636163637065485509600212975,000$
13Jett WooX100.00606060606070706060606060605862097002411,447,031$
14Oliver KylingtonX100.0061509183707975752570686965616609700271650,000$
15Filip RoosX100.0060606060607070606060606060485509700251777,263$
16Marshall WarrenX100.00606060606070706060606060604055096002321,023,750$
17Michael BenningX100.0060606060607070606060606060405509600221975,000$
18Stian Solberg (R)X100.00606060606070706060606060604455096001931,500,000$
Scratches
1Luke HaymesXXX100.0060606060607070606060606060405509600212655,000$
2Theo RochetteX100.0060606060607070606060606060435609700222682,500$
3Artem ShlaineXXX100.0060606060607070606060606060405509600221825,000$
4Dylan PetersonXXX100.0060606060607070606060606060405509501221975,000$
5Ilya FedotovXX100.0060606060607070606060606060405509701212975,000$
6Andrew CristallXX100.00606060606070706060606060604055097011921,500,000$
7Joey Muldowney (R)X100.0060606060607070606060606060445509700203700,000$
8Tuomas Uronen (R)XXX100.0060606060607070606060606060445509600193825,000$
9Angus MacDonell (R)XXX100.0060606060607070606060606060485509600193700,000$
10Melvin Fernstrom (R)X100.0060606060607070606060606060425509600183975,000$
11Christian KyrouX100.00606060606070706060606060604055097002111,250,000$
12Jiri TichacekX100.0060606060607070606060606060405509600211650,000$
13Tristan BertucciX100.0060606060607070606060606060405509601192975,000$
14Artem DudaX100.0060606060607070606060606060405509701202825,000$
15Noah ChadwickX100.0060606060607070606060606060405509601192650,000$
16Abram Wiebe (R)X100.0060606060607070606060606060445509700212650,000$
17Leon Muggli (R)X100.00606060606070706060606060604455096001831,250,000$
TEAM AVERAGE100.006158676363727462606261626145570960
Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Arturs Silovs100.006174698372616461595969496109700232850,000$
2Olivier Rodrigue100.0060707060606060606060605563098002411,447,031$
Scratches
1Isak Posch100.006070706060606060606060405509800221655,000$
2Jesper Wallstedt100.0060707060606060606060604755097002221,575,000$
3Carl Lindbom100.006070706060606060606060405509800211700,000$
TEAM AVERAGE100.00607170656260616060606246580980
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Travis Green8884809074761CAN543600,000$


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Justin BrazeauMoose (WPG)LW/RW31230558460316.67%06321.11011411000030054.00%5010000.9500010010
2Ethan CardwellMoose (WPG)LW/RW31230003586412.50%06220.75011212000040060.00%504000.9600000000
3Oliver KylingtonMoose (WPG)D3022000279230%26822.9000011200004000%022000.5800000000
4Ilya FedotovMoose (WPG)LW/RW31121754320350.00%14113.9401104000000023.08%1310000.9600001000
5Andrew CristallMoose (WPG)LW/RW3022-595762240%56722.39022012000020033.33%600000.6000001000
6Mitchell RussellMoose (WPG)C/LW/RW3011075534200%25217.3600002000020055.56%900000.3800001000
7Calvin ThurkaufMoose (WPG)C/LW/RW3101-4004620150.00%25518.34101111000010021.43%1402000.3600000001
8Filip RoosMoose (WPG)D310102048101100.00%25719.3210111200000100%020000.3500000000
9Jacob QuillanMoose (WPG)C/LW/RW3101-2001582612.50%15217.58101211000000055.56%1811000.3800000000
10Dylan PetersonMoose (WPG)C/LW/RW301111515249000%03712.4700001000000050.00%200000.5300111000
11Abram WiebeMoose (WPG)D3011000440000%15719.1101101200000000%003000.3500000000
12Jett WooMoose (WPG)D3000-100761200%56722.3500001200004000%00000000000000
13Max DomiMoose (WPG)C/LW/RW3000-200358360%15016.7700006000040043.33%303100000000000
14Jordan FrascaMoose (WPG)C3000-175220010%33812.8700001000000050.00%20300000010000
15Theo RochetteMoose (WPG)C3000000100000%051.870000000000000%00000000000000
16Christian KyrouMoose (WPG)D3000-300010010%65518.510000100004000%00100000000000
17Artem DudaMoose (WPG)D3000-400341000%35317.780000000004000%00100000000000
18Joey MuldowneyMoose (WPG)RW3000000010000%020.950000000000000%00000000000000
Team Total or Average5461218-20524060746119339.84%3488916.46369111270000371045.64%1491018000.4000134011
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Arturs SilovsMoose (WPG)31200.9232.6817900810465000030100
Team Total or Average31200.9232.681790081046500030100


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
Abram WiebeMoose (WPG)D212003-08-28CANYes187 Lbs6 ft0NoNoProspectNoNo22025-08-30FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Andrew CristallMoose (WPG)LW/RW192005-02-04CANNo174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Angus MacDonellMoose (WPG)C/LW/RW192005-05-11CANYes185 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Artem DudaMoose (WPG)D202004-04-08RUSNo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Artem ShlaineMoose (WPG)C/LW/RW222002-03-07USANo185 Lbs7 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Arttu HyryMoose (WPG)C/LW/RW232001-04-11FINNo214 Lbs6 ft3NoNoFree AgentNoNo22025-09-08FalseFalsePro & Farm834,750$803,669$83,475$80,367$No834,750$--------834,750$--------No--------
Arturs SilovsMoose (WPG)G232001-03-22LVANo203 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm850,000$818,351$85,000$81,835$No850,000$--------850,000$--------No--------
Axel Jonsson FjallbyMoose (WPG)LW/RW261998-02-10SWENo189 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,155,000$1,111,995$115,500$111,199$No---------------------------
Calvin ThurkaufMoose (WPG)C/LW/RW271997-06-27SUINo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Carl LindbomMoose (WPG)G212003-05-20SWENo185 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Christian KyrouMoose (WPG)D212003-09-16CANNo178 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Dylan DukeMoose (WPG)C/LW212003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Dylan PetersonMoose (WPG)C/LW/RW222002-01-08USANo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Ethan CardwellMoose (WPG)LW/RW222002-08-30CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Filip RoosMoose (WPG)D251999-01-05SWENo190 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm777,263$748,322$77,726$74,832$No---------------------------
Ilya FedotovMoose (WPG)LW/RW212003-03-19RUSNo172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Isak PoschMoose (WPG)G222002-01-31SWENo209 Lbs6 ft3NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm655,000$630,612$65,500$63,061$No---------------------------
Jacob QuillanMoose (WPG)C/LW/RW222002-02-02CANNo204 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Jesper WallstedtMoose (WPG)G222002-11-14SWENo214 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,575,000$1,516,356$157,500$151,636$No1,575,000$--------1,575,000$--------No--------
Jett WooMoose (WPG)D242000-07-27CANNo203 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,447,031$1,393,152$144,703$139,315$No---------------------------
Jiri TichacekMoose (WPG)D212003-01-30CZENo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Joey MuldowneyMoose (WPG)RW202004-06-05USAYes161 Lbs5 ft7NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Jordan FrascaMoose (WPG)C232001-07-05CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm729,750$702,578$72,975$70,258$No---------------------------
Justin BrazeauMoose (WPG)LW/RW261998-02-02CANNo227 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Leon MuggliMoose (WPG)D182006-07-09SUIYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Luke HaymesMoose (WPG)C/LW/RW212003-07-28CANNo192 Lbs6 ft1NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm655,000$630,612$65,500$63,061$No655,000$--------655,000$--------No--------
Marshall WarrenMoose (WPG)D232001-04-20USANo183 Lbs6 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Max DomiMoose (WPG)C/LW/RW291995-03-02CANNo209 Lbs5 ft10NoNoFree AgentNoNo22025-06-09FalseFalsePro & Farm705,000$678,750$70,500$67,875$No705,000$--------705,000$--------No--------
Max SassonMoose (WPG)C/LW/RW242000-09-05USANo181 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,100,000$1,059,043$110,000$105,904$No1,100,000$--------1,100,000$--------No--------
Melvin FernstromMoose (WPG)RW182006-02-28SWEYes190 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Michael BenningMoose (WPG)D222002-01-05CANNo175 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Mitchell RussellMoose (WPG)C/LW/RW232001-03-06CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm792,750$763,233$79,275$76,323$No---------------------------
Noah ChadwickMoose (WPG)D192005-05-10CANNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Oliver Kylington (1 Way Contract)Moose (WPG)D271997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Olivier RodrigueMoose (WPG)G242000-07-06CANNo159 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,447,031$1,393,152$144,703$139,315$No---------------------------
Stian SolbergMoose (WPG)D192005-12-29NORYes205 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Theo RochetteMoose (WPG)C222002-02-20SUINo161 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Tristan BertucciMoose (WPG)D192005-07-12CANNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Tuomas UronenMoose (WPG)C/LW/RW192005-05-19FINYes190 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Tyce ThompsonMoose (WPG)C251999-07-12CANNo175 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm909,563$875,696$90,956$87,569$No909,563$--------909,563$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4022.13188 Lbs6 ft21.73916,797$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mitchell RussellJustin BrazeauEthan Cardwell28014
2Calvin ThurkaufJacob QuillanMax Domi28014
3Arttu HyryMax SassonDylan Duke25023
4Ethan CardwellJustin BrazeauJordan Frasca19032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJett Woo34023
2Marshall WarrenFilip Roos33032
3Stian SolbergMichael Benning33032
4Oliver KylingtonJett Woo0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ethan CardwellJustin BrazeauJacob Quillan50014
2Jordan FrascaCalvin ThurkaufMitchell Russell50014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJett Woo50014
2Filip RoosMichael Benning50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Max DomiJordan Frasca50041
2Justin BrazeauEthan Cardwell50041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jett WooFilip Roos50050
2Oliver KylingtonStian Solberg50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Justin Brazeau50041Oliver KylingtonJett Woo50050
2Ethan Cardwell50041Filip RoosStian Solberg50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mitchell RussellMax Domi50023
2Ethan CardwellJustin Brazeau50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJett Woo50023
2Marshall WarrenFilip Roos50023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Justin BrazeauMax DomiEthan CardwellOliver KylingtonJett Woo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Justin BrazeauMax DomiEthan CardwellOliver KylingtonJett Woo
Extra Forwards
Normal PowerPlayPenalty Kill
Ethan Cardwell, Justin Brazeau, Jordan FrascaEthan Cardwell, Mitchell RussellJustin Brazeau
Extra Defensemen
Normal PowerPlayPenalty Kill
Oliver Kylington, Jett Woo, Filip RoosOliver KylingtonJett Woo, Oliver Kylington
Penalty Shots
Ethan Cardwell, Jordan Frasca, Mitchell Russell, Justin Brazeau, Jacob Quillan
Goalie
#1 : Arturs Silovs, #2 : Olivier Rodrigue


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
1Americans11000000321000000000001100000032121.000369000420181122280411817228225.00%10100.00%0204940.82%286145.90%203951.28%532264306133
2Grisards1010000023-1000000000001010000023-100.00024600042028112228027814233133.33%20100.00%0204940.82%286145.90%203951.28%532264306133
3Whalers1010000013-21010000013-20000000000000.0001230004201511222803682115300.00%3166.67%0204940.82%286145.90%203951.28%532264306133
Total3120000068-21010000013-22110000055020.3336121800042061112228010434526014321.43%6183.33%0204940.82%286145.90%203951.28%532264306133
_Since Last GM Reset3120000068-21010000013-22110000055020.3336121800042061112228010434526014321.43%6183.33%0204940.82%286145.90%203951.28%532264306133
_Vs Conference3120000068-21010000013-22110000055020.3336121800042061112228010434526014321.43%6183.33%0204940.82%286145.90%203951.28%532264306133
_Vs Division1120000023-1001000000001110000023-121.00024600042028112228027814233133.33%20100.00%0204940.82%286145.90%203951.28%532264306133

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
32W1612186110434526000
All Games
GPWLOTWOTL SOWSOLGFGA
312000068
Home Games
GPWLOTWOTL SOWSOLGFGA
101000013
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000055
Last 10 Games
WLOTWOTL SOWSOL
120000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
14321.43%6183.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11222800420
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
204940.82%286145.90%203951.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
532264306133


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
210Whalers3Moose1LBoxScore
323Moose2Grisards3LBoxScore
424Moose3Americans2WBoxScore
855Senators-Moose-
1073Whalers-Moose-
1287Moose-Bears-
1498Moose-Wolves-
16116Norsemen-Moose-
18135Moose-Senators-
20145Americans-Moose-
22160Moose-Norsemen-
24173Moose-Americans-
26186Phantoms-Moose-
29207Bulldogs-Moose-
31223Moose-Titans-
34240Americans-Moose-
36253Moose-Grisards-
38265Moose-Phantoms-
40279Penguins-Moose-
42293Moose-Redhawks-
44304Moose-Senators-
46317Whalers-Moose-
48338Moose-Silver Knights-
50348Roadrunners-Moose-
52367Moose-Wolf Pack-
54381Bears-Moose-
56397Moose-Bills-
58412Penguins-Moose-
60424Moose-Phantoms-
62444Phantoms-Moose-
66463Moose-Americans-
67476Redhawks-Moose-
72504Gulls-Moose-
74521Moose-Whalers-
76535Rocket-Moose-
78544Moose-Crunch-
80566Admirals-Moose-
82576Moose-White Wolves-
84586Moose-Whalers-
85601Blossom Bytes-Moose-
89625Moose-Americans-
90635Blossom Bytes-Moose-
93658Moose-Wolf Pack-
94666Admirals-Moose-
97684Moose-Blossom Bytes-
99698Phantoms-Moose-
103727Bills-Moose-
105742Moose-Rams-
107758Rams-Moose-
110777Moose-Rams-
112790Wolves-Moose-
114808Moose-Blood Miners-
116822Reign-Moose-
118838Moose-Admirals-
120853Moose-Norsemen-
121860Americans-Moose-
124884Moose-Griffins-
125892Eagles-Moose-
128918Norsemen-Moose-
129924Moose-Penguins-
133950Norsemen-Moose-
135962Moose-Gulls-
138980Bulldogs-Moose-
1411008Titans-Moose-
1421019Moose-Titans-
1461041Grisards-Moose-
1471054Moose-Bears-
1491066Moose-Wolves-
1511082Grisards-Moose-
1541107Saints-Moose-
1561119Moose-Gorillas-
1571131Moose-Wolves-
1591141Gulls-Moose-
1611153Moose-Octopus-
1641176Wolf Pack-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
1681200Whalers-Moose-
1721228Wolves-Moose-
1741236Moose-Mountaineers-
1771258Senators-Moose-
1791266Moose-Mountaineers-
1831287Senators-Moose-
1871311Moose-Grisards-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3512
Attendance2,0235,500
Attendance PCT80.92%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 7523 - 94.04% 164,166$164,166$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
156,118$ 3,602,188$ 3,602,188$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
22,352$ 156,118$ 38 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,566,640$ 181 22,352$ 4,045,712$




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