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

Moose
GP: 55 | W: 18 | L: 30 | OTL: 7 | P: 43
GF: 158 | GA: 194 | PP%: 18.96% | PK%: 76.42%
GM : Scott Smith | Morale : 50 | Team Overall : 60
Next Games #900 vs Wild

Game Center
Moose
18-30-7, 43pts
2
FINAL
3 Griffins
34-15-5, 73pts
Team Stats
W1StreakOTW1
10-15-3Home Record18-8-2
8-15-4Home Record16-7-3
3-3-4Last 10 Games7-2-1
2.87Goals Per Game3.70
3.53Goals Against Per Game3.15
18.96%Power Play Percentage19.28%
76.42%Penalty Kill Percentage79.84%
Swamp Rabbits
27-25-6, 60pts
1
FINAL
5 Moose
18-30-7, 43pts
Team Stats
L1StreakW1
17-9-1Home Record10-15-3
10-16-5Home Record8-15-4
6-4-0Last 10 Games3-3-4
3.22Goals Per Game2.87
3.12Goals Against Per Game3.53
18.96%Power Play Percentage18.96%
82.57%Penalty Kill Percentage76.42%
Wild
31-20-5, 67pts
Day 125
Moose
18-30-7, 43pts
Team Stats
W1StreakW1
17-9-2Home Record10-15-3
14-11-3Away Record8-15-4
3-4-3Last 10 Games3-3-4
3.25Goals Per Game2.87
2.98Goals Against Per Game2.87
19.35%Power Play Percentage18.96%
81.74%Penalty Kill Percentage76.42%
Moose
18-30-7, 43pts
Day 127
Barracuda
18-26-11, 47pts
Team Stats
W1StreakSOL1
10-15-3Home Record10-11-7
8-15-4Away Record8-15-4
3-3-4Last 10 Games4-5-1
2.87Goals Per Game2.95
3.53Goals Against Per Game2.95
18.96%Power Play Percentage19.72%
76.42%Penalty Kill Percentage75.24%
Moose
18-30-7, 43pts
Day 129
Griffins
34-15-5, 73pts
Team Stats
W1StreakOTW1
10-15-3Home Record18-8-2
8-15-4Away Record16-7-3
3-3-4Last 10 Games7-2-1
2.87Goals Per Game3.70
3.53Goals Against Per Game3.70
18.96%Power Play Percentage19.28%
76.42%Penalty Kill Percentage79.84%
Team Leaders
Cameron HughesGoals
Cameron Hughes
19
Cameron HughesAssists
Cameron Hughes
28
Cameron HughesPoints
Cameron Hughes
47
Plus/Minus
Raphael Lavoie
6
Wins
Dustin Wolf
18
Save Percentage
Oskari Salminen
0.903

Team Stats
Goals For
158
2.87 GFG
Shots For
1573
28.60 Avg
Power Play Percentage
19.0%
40 GF
Offensive Zone Start
37.8%
Goals Against
194
3.53 GAA
Shots Against
1850
33.64 Avg
Penalty Kill Percentage
76.4%%
58 GA
Defensive Zone Start
42.7%
Team Info

General ManagerScott Smith
CoachDallas Eakins
DivisionCentral
ConferenceAmerican
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,901
Season Tickets0


Roster Info

Pro Team22
Farm Team18
Contract Limit40 / 250
Prospects59


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
1Raphael LavoieX100.005856666676696663566064645558550516402411,200,000$
2Cameron HughesX100.00565965646368666555626267556559050630281750,000$
3Cooper MarodyX100.005657676164676665556361625465590506202811,000,000$
4Lukas RousekX100.00565674596466646256635964566057051620252775,000$
5Nick AbruzzeseXX100.00555768616269666455636063566056049620252800,000$
6Justin KirklandXX100.00575470587164626059605862576559034610281900,000$
7Timothy GettingerX100.00556168607765635955585863596257050610261750,000$
8Jean-Luc FoudyXX100.00575470596462605855595663555554050590221900,000$
9Mikhail MaltsevX100.00555669577159585759575661546157050580261900,000$
10Kyle McDonaldX100.005255655771646256525456585152500505702321,500,000$
11Ryan HoferX100.00525166536860585352525260515250050550222750,000$
12Colton YoungX100.00515167526255545252525258515954050540261750,000$
13Spencer StastneyX100.00565174626667615741595770555856050620251750,000$
14Philip KempX100.00565667587469675841585667556056050610261750,000$
15Will ButcherX100.00555668586264625840585662546760050590301950,000$
16Peetro SeppalaX100.00555468566866645640575465545855050590241900,000$
17Nikolas MatinpaloX100.00535267577167645539555365526055050590261800,000$
18Mattias NorlinderX100.00515164566164625438545256515451050550242900,000$
Scratches
1Carson GolderX100.00565469556656555555555561545553050570222750,000$
2Jace IsleyX100.00515267516752525152515157515250050530222750,000$
TEAM AVERAGE100.0055556858676462585058566254595504959
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
1Dustin Wolf100.0069686861707371696665585552050680231750,000$
2Oskari Salminen100.00586060696456666059615759550506102531,200,000$
Scratches
TEAM AVERAGE100.006464646567656965636358575405065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dallas Eakins6666656986791CAN571250,000$


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
1Cameron HughesMoose (Fla)C55192847-34151131811735113110.98%15119621.75415192817710192122145.75%135300100.7934010114
2Cooper MarodyMoose (Fla)C55192241-830101021651786612310.67%7113020.5656113916500051460245.95%130800000.7301200253
3Raphael LavoieMoose (Fla)RW3811243561407710112731678.66%1291224.0129112911700051521144.02%57700000.7703000500
4Spencer StastneyMoose (Fla)D55102333-3440968283185112.05%80129123.484711411740111187100%000110.5100000210
5Philip KempMoose (Fla)D5552833-1520137747023637.14%83128923.443710311760110185100%000000.5100000114
6Jean-Luc FoudyMoose (Fla)C/RW55111930-9375799391336912.09%689616.3021310860001471047.58%41400000.6700001014
7Peetro SeppalaMoose (Fla)D5582129-63601047167244311.94%61116221.144711371650000183310%000000.5000000020
8Will ButcherMoose (Fla)D557192623801075361174111.48%58103018.73246231140000112200%000000.5000000211
9Nick AbruzzeseMoose (Fla)C/LW331214264120375398197912.24%663719.325510241110001722047.37%19000000.8214000121
10Timothy GettingerMoose (Fla)LW5591423-116325736910340828.74%786215.6831419860000630048.24%8500000.5301104002
11Nikolas MatinpaloMoose (Fla)D5551621-13500101526414227.81%6096017.461341773000085000%000000.4400000001
12Mikhail MaltsevMoose (Fla)LW5512820-6155514187245013.79%761211.1421312580000170036.84%5700000.6500001121
13Justin KirklandMoose (Fla)C/LW2981119180504677155610.39%353418.422571496000020048.72%3900000.7100000310
14Lukas RousekMoose (Fla)RW3351318-322035426421507.81%457317.37145131100000191045.95%3700000.6311000100
15Mattias NorlinderMoose (Fla)D5501111-85609049179170%5487415.90011115000170000%000000.2500000000
16Kyle McDonaldMoose (Fla)RW554711-1931564557323575.48%575313.690112380000120039.34%6100000.2900001010
17Cedric ParePanthersC26527-8561034546317467.94%638514.82000020000291049.19%37200000.3600002010
18Ryan HoferMoose (Fla)RW551564601814216134.76%32584.6900006000000046.15%3900000.4600000000
19Colton YoungMoose (Fla)LW55325-61002628399167.69%34387.980001170000500038.10%6300000.2300000000
20Carson GolderMoose (Fla)RW1411220010813987.69%0896.4000010000001041.67%1200000.4500000000
21Jace IsleyMoose (Fla)C16112500121332733.33%4815.0700000000010051.04%9600000.4900000000
Team Total or Average959156289445-806216514161344157247110919.92%4841597016.654077117342179612323165516545.97%470300210.56514319191921
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
1Dustin WolfMoose (Fla)55182970.8963.4631874018417770110.66715550420
2Oskari SalminenMoose (Fla)50100.9032.961420077200000055000
Team Total or Average60183070.8973.443330401911849011155555420


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 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
Cameron HughesMoose (Fla)C281996-10-09CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Carson GolderMoose (Fla)RW222002-10-29CANNo196 Lbs6 ft0NoNoFree AgentNoNo22024-09-22FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Colton YoungMoose (Fla)LW261998-08-23CANNo174 Lbs6 ft0NoNoFree AgentNoNo12024-09-22FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Cooper MarodyMoose (Fla)C281996-12-20USANo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Dustin WolfMoose (Fla)G232001-04-16USANo165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Jace IsleyMoose (Fla)C222002-07-14CANNo200 Lbs6 ft2NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Jean-Luc FoudyMoose (Fla)C/RW222002-05-13CANNo176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Justin KirklandMoose (Fla)C/LW281996-08-02CANNo182 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Kyle McDonaldMoose (Fla)RW232002-02-05CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-07-27FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Lukas RousekMoose (Fla)RW251999-04-20CZENo171 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Mattias NorlinderMoose (Fla)D242000-04-12SWENo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link / NHL Link
Mikhail MaltsevMoose (Fla)LW261998-03-12RUSNo198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link / NHL Link
Nick AbruzzeseMoose (Fla)C/LW251999-06-04USANo183 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Nikolas MatinpaloMoose (Fla)D261998-10-05FINNo206 Lbs6 ft3NoNoFree AgentNoNo12024-07-27FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Oskari SalminenMoose (Fla)G251999-09-22FINNo200 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Peetro SeppalaMoose (Fla)D242000-08-17FINNo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Philip KempMoose (Fla)D261999-02-12USANo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Raphael LavoieMoose (Fla)RW242000-09-25CANNo216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link
Ryan HoferMoose (Fla)RW222002-05-10CANNo191 Lbs6 ft3NoNoFree AgentNoNo22024-09-22FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Spencer StastneyMoose (Fla)D252000-01-04USANo182 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Timothy GettingerMoose (Fla)LW261998-04-14USANo216 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Will ButcherMoose (Fla)D301995-01-06USANo189 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2225.00192 Lbs6 ft11.41885,227$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick AbruzzeseCameron HughesRaphael Lavoie40122
2Justin KirklandCooper MarodyLukas Rousek30122
3Timothy GettingerJean-Luc FoudyKyle McDonald20122
4Mikhail MaltsevRaphael LavoieRyan Hofer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Spencer StastneyPhilip Kemp40122
2Peetro SeppalaWill Butcher30122
3Nikolas MatinpaloMattias Norlinder20122
4Spencer StastneyPhilip Kemp10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick AbruzzeseCameron HughesRaphael Lavoie60122
2Justin KirklandCooper MarodyLukas Rousek40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Spencer StastneyPhilip Kemp60122
2Peetro SeppalaWill Butcher40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Raphael LavoieCameron Hughes60122
2Nick AbruzzeseCooper Marody40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Spencer StastneyPhilip Kemp60122
2Peetro SeppalaWill Butcher40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Raphael Lavoie60122Spencer StastneyPhilip Kemp60122
2Cameron Hughes40122Peetro SeppalaWill Butcher40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Raphael LavoieCameron Hughes60122
2Nick AbruzzeseCooper Marody40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Spencer StastneyPhilip Kemp60122
2Peetro SeppalaWill Butcher40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick AbruzzeseCameron HughesRaphael LavoieSpencer StastneyPhilip Kemp
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nick AbruzzeseCameron HughesRaphael LavoieSpencer StastneyPhilip Kemp
Extra Forwards
Normal PowerPlayPenalty Kill
Colton Young, Timothy Gettinger, Jean-Luc FoudyColton Young, Timothy GettingerJean-Luc Foudy
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikolas Matinpalo, Mattias Norlinder, Peetro SeppalaNikolas MatinpaloMattias Norlinder, Peetro Seppala
Penalty Shots
Raphael Lavoie, Cameron Hughes, Nick Abruzzese, Cooper Marody, Lukas Rousek
Goalie
#1 : Dustin Wolf, #2 : Oskari Salminen
Custom OT Lines Forwards
Raphael Lavoie, Cameron Hughes, Nick Abruzzese, Cooper Marody, Lukas Rousek, Justin Kirkland, Timothy Gettinger, Jean-Luc Foudy, Mikhail Maltsev, Kyle McDonald
Custom OT Lines Defensemen
Spencer Stastney, Philip Kemp, Peetro Seppala, Will Butcher, Nikolas Matinpalo


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
1Aces30300000613-71010000012-120200000511-600.0006101600714243572540474548251001941721119.09%15566.67%0812177645.72%947200647.21%41691645.41%12718371324429735360
2Admirals2020000048-4000000000002020000048-400.0004812007142435445404745482581182853300.00%13376.92%0812177645.72%947200647.21%41691645.41%12718371324429735360
3Barracuda11000000321000000000001100000032121.000347007142435345404745482526106245120.00%3233.33%0812177645.72%947200647.21%41691645.41%12718371324429735360
4Bears11000000642000000000001100000064221.0006111700714243524540474548254581319200.00%4175.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
5Bruins1010000037-4000000000001010000037-400.0003690071424353454047454825461716293133.33%8362.50%0812177645.72%947200647.21%41691645.41%12718371324429735360
6Devils11000000431110000004310000000000021.000481200714243535540474548254712122233100.00%6266.67%0812177645.72%947200647.21%41691645.41%12718371324429735360
7Falcons1000010034-11000010034-10000000000010.50036900714243536540474548253476383133.33%30100.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
8Firebirds11000000321110000003210000000000021.00036900714243532540474548252586315120.00%2150.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
9Griffins302000101011-1100000105412020000057-220.333101727107142435805404745482512925387513538.46%19289.47%0812177645.72%947200647.21%41691645.41%12718371324429735360
10Gulls40300100916-72020000048-42010010058-310.1259152400714243510554047454825133342810920210.00%13284.62%0812177645.72%947200647.21%41691645.41%12718371324429735360
11Heat1010000035-21010000035-20000000000000.00036900714243531540474548253674284125.00%2150.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
12Ice Hogs41300000713-631200000610-41010000013-220.25071320007142435126540474548251213759971417.14%16475.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
13Marlies2110000034-1110000003121010000003-320.5003690071424355054047454825661433645120.00%9188.89%0812177645.72%947200647.21%41691645.41%12718371324429735360
14Monsters1010000015-41010000015-40000000000000.00012300714243527540474548252410614400.00%3166.67%0812177645.72%947200647.21%41691645.41%12718371324429735360
15Oil Kings1010000015-41010000015-40000000000000.00012300714243519540474548252613827400.00%20100.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
16Penguins21100000862000000000002110000086220.500816240071424355854047454825601531519222.22%6183.33%0812177645.72%947200647.21%41691645.41%12718371324429735360
17Phantoms1010000013-21010000013-20000000000000.00012300714243529540474548252871231200.00%6183.33%0812177645.72%947200647.21%41691645.41%12718371324429735360
18Rampage2110000025-3110000002111010000004-420.5002460071424354254047454825641816634125.00%6183.33%0812177645.72%947200647.21%41691645.41%12718371324429735360
19Reign211000006421010000012-11100000052320.500611170071424354054047454825592018409222.22%9188.89%0812177645.72%947200647.21%41691645.41%12718371324429735360
20Rocket10000010651000000000001000001065121.00061016007142435325404745482540610255240.00%4175.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
21Senators1000000145-11000000145-10000000000010.5004711007142435395404745482543118205240.00%40100.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
22Sound Tigers1010000023-11010000023-10000000000000.00024600714243529540474548253161018300.00%3166.67%0812177645.72%947200647.21%41691645.41%12718371324429735360
23Stars1000000123-1000000000001000000123-110.500246007142435325404745482528314274125.00%7185.71%0812177645.72%947200647.21%41691645.41%12718371324429735360
24Swamp Rabbits21000100633110000005141000010012-130.750611170071424356254047454825711733468225.00%13284.62%1812177645.72%947200647.21%41691645.41%12718371324429735360
25Thunderbirds1000010045-1000000000001000010045-110.5004711007142435415404745482539916237114.29%8275.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
26Wheat Kings42200000151323210000011741010000046-240.50015264100714243513154047454825116455012315320.00%20480.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
27Wild5220010019190412001001315-21100000064250.50019375600714243515754047454825159375911620315.00%21861.90%0812177645.72%947200647.21%41691645.41%12718371324429735360
28Wolfpack11000000633000000000001100000063321.0006111700714243544540474548253588317228.57%4250.00%0812177645.72%947200647.21%41691645.41%12718371324429735360
29Wolves413000001115-41010000024-231200000911-220.250112031007142435885404745482513843361041417.14%17570.59%0812177645.72%947200647.21%41691645.41%12718371324429735360
Total55163000522158194-3628915002117590-15277150031183104-21430.391158290448107142435157354047454825185048462514202114018.96%2465876.42%1812177645.72%947200647.21%41691645.41%12718371324429735360
_Since Last GM Reset55163000522158194-3628915002117590-15277150031183104-21430.391158290448107142435157354047454825185048462514202114018.96%2465876.42%1812177645.72%947200647.21%41691645.41%12718371324429735360
_Vs Conference3810250021099133-3420612001105264-1218413001004769-22240.3169917927810714243510275404745482512523374229821412215.60%1664075.90%0812177645.72%947200647.21%41691645.41%12718371324429735360
_Vs Division20617001105670-141247001103537-28210000002133-12150.3755610516100714243560954047454825642174248540701115.71%942375.53%0812177645.72%947200647.21%41691645.41%12718371324429735360

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5543W115829044815731850484625142010
All Games
GPWLOTWOTL SOWSOLGFGA
5516300522158194
Home Games
GPWLOTWOTL SOWSOLGFGA
2891502117590
Visitor Games
GPWLOTWOTL SOWSOLGFGA
27715031183104
Last 10 Games
WLOTWOTL SOWSOL
230212
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2114018.96%2465876.42%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
540474548257142435
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
812177645.72%947200647.21%41691645.41%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12718371324429735360


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
317Wild7Moose4LBoxScore
531Moose2Wolves4LBoxScore
746Wild4Moose2LBoxScore
964Moose3Admirals5LBoxScore
1281Wheat Kings3Moose1LBoxScore
1389Moose1Aces4LBoxScore
16110Ice Hogs2Moose4WBoxScore
17117Moose4Wheat Kings6LBoxScore
20135Moose3Griffins4LBoxScore
22151Wild1Moose5WBoxScore
24170Gulls4Moose2LBoxScore
26179Moose3Gulls4LXBoxScore
29202Wheat Kings1Moose4WBoxScore
31220Moose1Admirals3LBoxScore
33231Moose2Wolves4LBoxScore
35244Ice Hogs4Moose0LBoxScore
37263Moose3Bruins7LBoxScore
39272Moose6Wild4WBoxScore
40285Sound Tigers3Moose2LBoxScore
43305Marlies1Moose3WBoxScore
47331Devils3Moose4WBoxScore
49346Moose1Ice Hogs3LBoxScore
51362Heat5Moose3LBoxScore
53377Moose2Gulls4LBoxScore
56395Moose6Bears4WBoxScore
58406Wolves4Moose2LBoxScore
61429Aces2Moose1LBoxScore
63446Moose1Swamp Rabbits2LXBoxScore
65460Gulls4Moose2LBoxScore
67477Moose3Barracuda2WBoxScore
69489Reign2Moose1LBoxScore
71505Moose6Wolfpack3WBoxScore
73522Moose4Thunderbirds5LXBoxScore
74531Ice Hogs4Moose2LBoxScore
77547Moose5Wolves3WBoxScore
79563Firebirds2Moose3WBoxScore
82584Moose4Aces7LBoxScore
83597Griffins4Moose5WXXBoxScore
87618Rampage1Moose2WBoxScore
91647Monsters5Moose1LBoxScore
93657Moose1Penguins3LBoxScore
96680Phantoms3Moose1LBoxScore
98693Moose0Marlies3LBoxScore
100710Wheat Kings3Moose6WBoxScore
102724Moose7Penguins3WBoxScore
104735Moose5Reign2WBoxScore
106750Senators5Moose4LXXBoxScore
108772Moose0Rampage4LBoxScore
110783Oil Kings5Moose1LBoxScore
112801Moose2Stars3LXXBoxScore
114812Falcons4Moose3LXBoxScore
118840Wild3Moose2LXBoxScore
120855Moose6Rocket5WXXBoxScore
121867Moose2Griffins3LBoxScore
123878Swamp Rabbits1Moose5WBoxScore
125900Wild-Moose-
127916Moose-Barracuda-
129931Moose-Griffins-
131943Griffins-Moose-
133958Moose-Americans-
136975Wolves-Moose-
139999Moose-Monsters-
1401008Rocket-Moose-
1431026Moose-Crunch-
1451038Moose-Admirals-
1461047Stars-Moose-
1481064Moose-Wheat Kings-
1501077Penguins-Moose-
1521092Moose-Wheat Kings-
Trade Deadline --- Trades can’t be done after this day is simulated!
1541100Moose-Heat-
1551112Barracuda-Moose-
1571130Moose-Ice Hogs-
1601146Aces-Moose-
1641170Admirals-Moose-
1651176Moose-Aces-
1691205Moose-Wild-
1711214Admirals-Moose-
1741236Barracuda-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price15075
Attendance54,30326,916
Attendance PCT96.97%96.13%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 2901 - 96.69% 508,208$14,229,810$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,533,903$ 4,535,000$ 4,535,000$ 250,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
25,621$ 2,358,732$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,590,282$ 53 27,034$ 1,432,802$




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