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Moose
GP: 4 | W: 1 | L: 3
GF: 7 | GA: 13 | PP%: 35.29% | PK%: 80.00%
GM : Luca | Morale : 96 | Team Overall : N/A
Next Games #33 vs Admirals

Game Center
Moose
1-3-0, 2pts
3
FINAL
2 Admirals
3-1-0, 6pts
Team Stats
OTL1StreakW1
0-2-0Home Record1-1-0
1-1-0Home Record2-0-0
1-2-1Last 10 Games3-1-0
1.75Goals Per Game3.25
3.25Goals Against Per Game1.75
35.29%Power Play Percentage20.00%
80.00%Penalty Kill Percentage64.71%
Moose
1-3-0, 2pts
2
FINAL
3 Admirals
3-1-0, 6pts
Team Stats
OTL1StreakW1
0-2-0Home Record1-1-0
1-1-0Home Record2-0-0
1-2-1Last 10 Games3-1-0
1.75Goals Per Game3.25
3.25Goals Against Per Game1.75
35.29%Power Play Percentage20.00%
80.00%Penalty Kill Percentage64.71%
Admirals
3-1-0, 6pts
Day 9
Moose
1-3-0, 2pts
Team Stats
W1StreakOTL1
1-1-0Home Record0-2-0
2-0-0Away Record1-1-0
3-1-0Last 10 Games1-2-1
3.25Goals Per Game1.75
1.75Goals Against Per Game1.75
20.00%Power Play Percentage35.29%
64.71%Penalty Kill Percentage80.00%
Moose
1-3-0, 2pts
Day 11
Admirals
3-1-0, 6pts
Team Stats
OTL1StreakW1
0-2-0Home Record1-1-0
1-1-0Away Record2-0-0
1-2-1Last 10 Games3-1-0
1.75Goals Per Game3.25
3.25Goals Against Per Game3.25
35.29%Power Play Percentage20.00%
80.00%Penalty Kill Percentage64.71%
Admirals
3-1-0, 6pts
Day 13
Moose
1-3-0, 2pts
Team Stats
W1StreakOTL1
1-1-0Home Record0-2-0
2-0-0Away Record1-1-0
3-1-0Last 10 Games1-2-1
3.25Goals Per Game1.75
1.75Goals Against Per Game1.75
20.00%Power Play Percentage35.29%
64.71%Penalty Kill Percentage80.00%
Team Leaders
Goals
Oliver Kylington
2
Assists
Max Domi
5
Points
Max Domi
5
Plus/Minus
Melvin Fernstrom
0
Wins
Jesper Wallstedt
1
Save Percentage
Jesper Wallstedt
0.886

Team Stats
Goals For
7
1.75 GFG
Shots For
85
21.25 Avg
Power Play Percentage
35.3%
6 GF
Offensive Zone Start
40.0%
Goals Against
13
3.25 GAA
Shots Against
120
30.00 Avg
Penalty Kill Percentage
80.0%%
1 GA
Defensive Zone Start
38.9%
Team Info

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


Arena Info

Capacity8,000
Attendance7,970
Season Tickets800


Roster Info

Pro Team37
Farm Team25
Contract Limit62 / 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.
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
1Justin BrazeauXX100.0073509376867893726167696965576408600261650,000$
2Max SassonXXX100.00665095766977917164676867654657088002421,100,000$
3Mitchell RussellXXX100.0060606060607070606060606060465807900231792,750$
4Max DomiXXX100.0064568582788192757573686765586308800292705,000$
5Calvin ThurkaufXXX100.0060606060607070606060606060596608700271650,000$
6Ethan CardwellXX100.0063508971687892666268647365405508700221825,000$
7Jacob QuillanXXX100.0062509069777591636163636765405508200222682,500$
8Arttu HyryXXX100.0060509470817693657565656865405508000232834,750$
9Dylan Duke (R)XX100.0070508870677590636163637065485508800212975,000$
10Tuomas Uronen (R)XXX100.0060606060607070606060606060445508000193825,000$
11Angus MacDonell (R)XXX100.0060606060607070606060606060485508400193700,000$
12Melvin Fernstrom (R)X100.0060606060607070606060606060425506700183975,000$
13Oliver KylingtonX100.0061509183707975752570686965616608800271650,000$
14Marshall WarrenX100.00606060606070706060606060604055074002321,023,750$
15Michael BenningX100.0060606060607070606060606060405508100221975,000$
16Christian KyrouX100.00606060606070706060606060604055084002111,250,000$
17Tristan BertucciX100.0060606060607070606060606060405508601192975,000$
18Abram Wiebe (R)X100.0060606060607070606060606060445507800212650,000$
Scratches
1Axel Jonsson FjallbyXX100.00606060606070706060606060605463052002611,155,000$
2Luke HaymesXXX100.0060606060607070606060606060405503000212655,000$
3Tyce ThompsonX100.0060606060607070606060606060495703700252909,563$
4Jordan FrascaX100.0060606060607070606060606060465803000231729,750$
5Theo RochetteX100.0060606060607070606060606060435603000222682,500$
6Artem ShlaineXXX100.0060606060607070606060606060405504800221825,000$
7Dylan PetersonXXX100.0060606060607070606060606060405502001221975,000$
8Ilya FedotovXX100.0060606060607070606060606060405502701212975,000$
9Andrew CristallXX100.00606060606070706060606060604055026011921,500,000$
10Joey Muldowney (R)X100.0060606060607070606060606060445506800203700,000$
11Filip RoosX100.0060606060607070606060606060485506500251777,263$
12Jiri TichacekX100.0060606060607070606060606060405505700211650,000$
13Artem DudaX100.0060606060607070606060606060405502801202825,000$
14Noah ChadwickX100.0060606060607070606060606060405503701192650,000$
15Leon Muggli (R)X100.00606060606070706060606060604455029001831,250,000$
TEAM AVERAGE100.006158676464727562606261626145570630
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.
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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
1Olivier Rodrigue100.0060707060606060606060605563063002411,447,031$
2Jesper Wallstedt98.0060707060606060606060604755074002221,575,000$
Scratches
1Isak Posch100.006070706060606060606060405506100221655,000$
2Carl Lindbom100.006070706060606060606060405506900211700,000$
TEAM AVERAGE99.50607070606060606060606046570670
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
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
1Max DomiMoose (WPG)C/LW/RW4055-40049106100%29122.95044112000030058.33%4853001.0900000001
2Justin BrazeauMoose (WPG)LW/RW4033-30023153120%47819.710222120000000100.00%221000.7600000000
3Oliver KylingtonMoose (WPG)D4202-60032127016.67%48621.7120251300014100%034000.4600000000
4Christian KyrouMoose (WPG)D4112-3555641125.00%38320.9511211200003010%015000.4800010010
5Jacob QuillanMoose (WPG)C/LW/RW4202-40047121916.67%38220.58202412000040055.00%2022000.4900000000
6Max SassonMoose (WPG)C/LW/RW4101-4003283712.50%09022.72101212000140036.59%4141000.2200000000
7Michael BenningMoose (WPG)D4101-3005440125.00%38822.1700021200004000%003000.2300000000
8Dylan DukeMoose (WPG)C/LW4011-200465230%07117.81011012000000066.67%330000.2800000000
9Mitchell RussellMoose (WPG)C/LW/RW4000-375362000%06115.300000000000000%32000000100000
10Calvin ThurkaufMoose (WPG)C/LW/RW4000-400672130%16716.9100000000000060.00%51100000000000
11Marshall WarrenMoose (WPG)D4000-155144520%38421.0100001300003000%00400000001000
12Ethan CardwellMoose (WPG)LW/RW4000-5002133450%18721.85000012000030050.00%561100000000000
13Tristan BertucciMoose (WPG)D4000-700522100%36716.820000000000000%00000000000000
14Arttu HyryMoose (WPG)C/LW/RW4000-100000000%0133.270000000000000%00000000000000
15Abram WiebeMoose (WPG)D4000-275531200%26917.330000000000000%01300000001000
16Tuomas UronenMoose (WPG)C/LW/RW4000-100100010%061.600000000000000%00000000000000
17Angus MacDonellMoose (WPG)C/LW/RW4000-240461010%16015.09000000000000100.00%20100000000000
18Melvin FernstromMoose (WPG)RW4000000000000%010.330000000000000%00000000000000
Team Total or Average7271017-55282057808536558.24%30119216.566814171290002321150.56%1802529000.2900112011
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
1Jesper WallstedtMoose (WPG)41210.8863.71210201311470100040000
2Olivier RodrigueMoose (WPG)10001.00002800063000004000
Team Total or Average51210.8923.2623920131207310044000


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$325,000$65,000$32,500$No650,000$--------650,000$--------No--------
Andrew CristallMoose (WPG)LW/RW192005-02-04CANNo174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$750,000$150,000$75,000$No1,500,000$--------1,500,000$--------No--------
Angus MacDonellMoose (WPG)C/LW/RW192005-05-11CANYes185 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$350,000$70,000$35,000$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Artem DudaMoose (WPG)D202004-04-08RUSNo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm825,000$412,500$82,500$41,250$No825,000$--------825,000$--------No--------
Artem ShlaineMoose (WPG)C/LW/RW222002-03-07USANo185 Lbs7 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$412,500$82,500$41,250$No---------------------------
Arttu HyryMoose (WPG)C/LW/RW232001-04-11FINNo214 Lbs6 ft3NoNoFree AgentNoNo22025-09-08FalseFalsePro & Farm834,750$417,375$83,475$41,738$No834,750$--------834,750$--------No--------
Axel Jonsson FjallbyMoose (WPG)LW/RW261998-02-10SWENo189 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,155,000$577,500$115,500$57,750$No---------------------------
Calvin ThurkaufMoose (WPG)C/LW/RW271997-06-27SUINo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$325,000$65,000$32,500$No---------------------------
Carl LindbomMoose (WPG)G212003-05-20SWENo185 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$350,000$70,000$35,000$No---------------------------
Christian KyrouMoose (WPG)D212003-09-16CANNo178 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$625,000$125,000$62,500$No---------------------------
Dylan DukeMoose (WPG)C/LW212003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm975,000$487,500$97,500$48,750$No975,000$--------975,000$--------No--------
Dylan PetersonMoose (WPG)C/LW/RW222002-01-08USANo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$487,500$97,500$48,750$No---------------------------
Ethan CardwellMoose (WPG)LW/RW222002-08-30CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$412,500$82,500$41,250$No---------------------------
Filip RoosMoose (WPG)D251999-01-05SWENo190 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm777,263$388,632$77,726$38,863$No---------------------------
Ilya FedotovMoose (WPG)LW/RW212003-03-19RUSNo172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$487,500$97,500$48,750$No975,000$--------975,000$--------No--------
Isak PoschMoose (WPG)G222002-01-31SWENo209 Lbs6 ft3NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm655,000$327,500$65,500$32,750$No---------------------------
Jacob QuillanMoose (WPG)C/LW/RW222002-02-02CANNo204 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$341,250$68,250$34,125$No682,500$--------682,500$--------No--------
Jesper WallstedtMoose (WPG)G222002-11-14SWENo214 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,575,000$787,500$157,500$78,750$No1,575,000$--------1,575,000$--------No--------
Jiri TichacekMoose (WPG)D212003-01-30CZENo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$325,000$65,000$32,500$No---------------------------
Joey MuldowneyMoose (WPG)RW202004-06-05USAYes161 Lbs5 ft7NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$350,000$70,000$35,000$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Jordan FrascaMoose (WPG)C232001-07-05CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm729,750$364,875$72,975$36,488$No---------------------------
Justin BrazeauMoose (WPG)LW/RW261998-02-02CANNo227 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm650,000$325,000$65,000$32,500$No---------------------------
Leon MuggliMoose (WPG)D182006-07-09SUIYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$625,000$125,000$62,500$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$327,500$65,500$32,750$No655,000$--------655,000$--------No--------
Marshall WarrenMoose (WPG)D232001-04-20USANo183 Lbs6 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$511,875$102,375$51,188$No1,023,750$--------1,023,750$--------No--------
Max DomiMoose (WPG)C/LW/RW291995-03-02CANNo209 Lbs5 ft10NoNoFree AgentNoNo22025-06-09FalseFalsePro & Farm705,000$352,500$70,500$35,250$No705,000$--------705,000$--------No--------
Max SassonMoose (WPG)C/LW/RW242000-09-05USANo181 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,100,000$550,000$110,000$55,000$No1,100,000$--------1,100,000$--------No--------
Melvin FernstromMoose (WPG)RW182006-02-28SWEYes190 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$487,500$97,500$48,750$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Michael BenningMoose (WPG)D222002-01-05CANNo175 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm975,000$487,500$97,500$48,750$No---------------------------
Mitchell RussellMoose (WPG)C/LW/RW232001-03-06CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm792,750$396,375$79,275$39,638$No---------------------------
Noah ChadwickMoose (WPG)D192005-05-10CANNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$325,000$65,000$32,500$No650,000$--------650,000$--------No--------
Oliver Kylington (1 Way Contract)Moose (WPG)D271997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$325,000$650,000$325,000$No---------------------------
Olivier RodrigueMoose (WPG)G242000-07-06CANNo159 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,447,031$723,516$144,703$72,352$No---------------------------
Theo RochetteMoose (WPG)C222002-02-20SUINo161 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$341,250$68,250$34,125$No682,500$--------682,500$--------No--------
Tristan BertucciMoose (WPG)D192005-07-12CANNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$487,500$97,500$48,750$No975,000$--------975,000$--------No--------
Tuomas UronenMoose (WPG)C/LW/RW192005-05-19FINYes190 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm825,000$412,500$82,500$41,250$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Tyce ThompsonMoose (WPG)C251999-07-12CANNo175 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm909,563$454,782$90,956$45,478$No909,563$--------909,563$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3722.14187 Lbs6 ft21.70888,510$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan DukeMax DomiAngus MacDonell28014
2Calvin ThurkaufJacob QuillanJustin Brazeau28014
3Mitchell RussellMax SassonEthan Cardwell25023
4Max DomiEthan CardwellMax Sasson19032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian KyrouMichael Benning34023
2Oliver KylingtonTristan Bertucci33032
3Abram WiebeMarshall Warren33032
4Michael BenningOliver Kylington0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan DukeMax DomiJacob Quillan50014
2Justin BrazeauEthan CardwellMax Sasson50014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marshall WarrenOliver Kylington50014
2Michael BenningChristian Kyrou50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Max SassonJacob Quillan50041
2Ethan CardwellMax Domi50041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonMichael Benning50050
2Christian KyrouMarshall Warren50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Max Sasson50041Michael BenningOliver Kylington50050
2Jacob Quillan50041Abram WiebeChristian Kyrou50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jacob QuillanMax Sasson50023
2Dylan DukeMax Domi50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael BenningChristian Kyrou50023
2Oliver KylingtonMarshall Warren50023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max DomiMax SassonJustin BrazeauOliver KylingtonMichael Benning
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max DomiMax SassonJustin BrazeauOliver KylingtonMichael Benning
Extra Forwards
Normal PowerPlayPenalty Kill
Max Domi, Max Sasson, Jacob QuillanMax Domi, Max SassonMax Sasson
Extra Defensemen
Normal PowerPlayPenalty Kill
Michael Benning, Christian Kyrou, Oliver KylingtonOliver KylingtonOliver Kylington, Michael Benning
Penalty Shots
Dylan Duke, Max Sasson, Justin Brazeau, Max Domi, Jacob Quillan
Goalie
#1 : Jesper Wallstedt, #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
1Admirals41300000713-62020000028-62110000055020.2507101700214085322924012030305717635.29%5180.00%0317243.06%427060.00%183847.37%723281418644
Total41300000713-62020000028-62110000055020.2507101700214085322924012030305717635.29%5180.00%0317243.06%427060.00%183847.37%723281418644
_Since Last GM Reset41300000713-62020000028-62110000055020.2507101700214085322924012030305717635.29%5180.00%0317243.06%427060.00%183847.37%723281418644
_Vs Conference41300000713-62020000028-62110000055020.2507101700214085322924012030305717635.29%5180.00%0317243.06%427060.00%183847.37%723281418644

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
42OTL1710178512030305700
All Games
GPWLOTWOTL SOWSOLGFGA
4130000713
Home Games
GPWLOTWOTL SOWSOLGFGA
202000028
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000055
Last 10 Games
WLOTWOTL SOWSOL
120100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
17635.29%5180.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
32292402140
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
317243.06%427060.00%183847.37%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
723281418644


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
11Admirals3Moose1LBoxScore
39Admirals5Moose1LBoxScore
517Moose3Admirals2WBoxScore
725Moose2Admirals3LXBoxScore
933Admirals-Moose-
1141Moose-Admirals-
1349Admirals-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3512
Attendance4,94011,000
Attendance PCT98.80%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 7970 - 99.63% 182,940$365,880$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 3,222,485$ 3,222,485$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 36 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 7 0$ 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