Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Keven Lafortune | Morale : 75 | Team Overall : 57

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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 SP
1Austin PoganskiX100.006838916577788763676461626670754875640
2Jake LeschyshynX100.006338875772748556605558545667695775590
3Zach DeanX100.006138805870716856615955575463657875580
4Michael Dal ColleXX100.004040404040404040404040404040401175420
5Phelix MartineauX100.004040404040404040404040404040401175420
6Max ComtoisXX100.004040404040404040404040404040401175420
7Vladislav KamenevXXX100.004040404040404040404040404040401175420
8Zac JonesX100.006436896870878066307061635266686275640
9Jacob MoverareX100.007239946184767360306452594768705075620
10John LudvigX100.007262716479777463306260615265671175620
11Gavin BayreutherX100.006840796177767156306054574872742775600
12William TrudeauX100.006540735874728457305655594764665875590
13Ben ThomasX100.004040404040404040404040404040401175420
Scratches
1Sandis VilmanisX100.006937906476788463666261656062644975630
2Florian XhekajX100.007268526382778658556159625763646275610
3Riley SutterX100.007942775888698356575455595366681175600
4Owen Allard (R)X100.006938935878738657615655595762645675600
5Xavier ParentXX100.006638705862828457605859555765674275590
6Miikka SalomakiXXX100.004040404040404040404040404040401175420
7Tristan LuneauX100.006938886580848662306463615262647175640
8Charles-Alexis LegaultX100.007745686290817858306059645063655675620
9Noah WarrenX100.008242835391628352305451594562647475590
10Mikko KokkonenX100.006638865872678156305753554664661175590
11Jorian DonovanX100.006742655677698354305553574562645775580
TEAM AVERAGE100.00624270556866715443555355495960397556
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Nico Daws100.00768884877574767574767566756175650
Scratches
1Jon Gillies100.00777166977675777675777672864075650
2Topias Leinonen (R)100.00627470986160626160626162677475570
TEAM AVERAGE100.0072787394717072717072716776587562
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marc Savard66647065726778CAN481999,999$


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PriorityTypeDescription
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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
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


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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Austin PoganskiRW291996-02-16No198 Lbs6 ft1NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Ben ThomasD291996-05-28No187 Lbs6 ft1NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Charles-Alexis LegaultD222003-09-05No220 Lbs6 ft4NoNoNo1ELCPro & Farm915,833$0$0$NoLink / NHL Link
Florian XhekajLW212004-06-27No195 Lbs6 ft3NoNoNo1ELCPro & Farm866,667$0$0$NoLink / NHL Link
Gavin BayreutherD311994-05-12No196 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Jacob MoverareD271998-08-31No205 Lbs6 ft3NoNoNo3RFAPro & Farm775,000$0$0$NoLink / NHL Link
Jake LeschyshynC261999-03-10No198 Lbs5 ft11NoNoNo3RFAPro & Farm1,499,999$0$0$NoLink / NHL Link
John LudvigD252000-08-02No210 Lbs6 ft1NoNoNo4RFAPro & Farm775,000$0$0$NoLink / NHL Link
Jon GilliesG311994-01-22No223 Lbs6 ft6NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Jorian DonovanD212004-04-05No200 Lbs6 ft1NoNoNo1ELCPro & Farm796,666$0$0$NoLink / NHL Link
Max ComtoisLW/RW261999-01-08No210 Lbs6 ft2NoNoNo4RFAPro & Farm900,000$0$0$NoLink / NHL Link
Michael Dal ColleLW/RW291996-06-20No195 Lbs6 ft3NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Miikka SalomakiC/LW/RW321993-03-09No203 Lbs5 ft11NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Mikko KokkonenD242001-01-18No198 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Nico DawsG242000-12-22No205 Lbs6 ft4NoNoNo1RFAPro & Farm812,500$0$0$NoLink / NHL Link
Noah WarrenD212004-07-15No224 Lbs6 ft4NoNoNo1ELCPro & Farm865,000$0$0$NoLink / NHL Link
Owen AllardC212004-01-13Yes190 Lbs6 ft2NoNoNo1ELCPro & Farm869,167$0$0$NoLink / NHL Link
Phelix MartineauC281997-06-03No183 Lbs5 ft11NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Riley SutterC251999-10-25No210 Lbs6 ft4NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Sandis VilmanisLW212004-01-23No192 Lbs6 ft1NoNoNo1ELCPro & Farm855,000$0$0$NoLink / NHL Link
Topias LeinonenG212004-01-25Yes234 Lbs6 ft6NoNoNo1ELCPro & Farm880,000$0$0$NoLink / NHL Link
Tristan LuneauD212004-01-12No211 Lbs6 ft1NoNoNo1ELCPro & Farm865,000$0$0$NoLink / NHL Link
Vladislav KamenevC/LW/RW291996-08-12No194 Lbs6 ft2NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
William TrudeauD222002-10-11No197 Lbs6 ft0NoNoNo1ELCPro & Farm856,667$0$0$NoLink / NHL Link
Xavier ParentC/LW242001-03-23No170 Lbs5 ft8NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Zac JonesD242000-10-18No190 Lbs5 ft11NoNoNo1RFAPro & Farm812,500$0$0$NoLink / NHL Link
Zach DeanC222003-01-04No176 Lbs6 ft0NoNoNo1ELCPro & Farm852,500$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.04201 Lbs6 ft21.19724,907$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Vladislav Kamenev30122
3Michael Dal ColleZach DeanMax Comtois20122
4Vladislav Kamenev10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MoverareZac Jones40122
2John LudvigWilliam Trudeau30122
320122
4Gavin BayreutherJacob Moverare10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Vladislav Kamenev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MoverareZac Jones60122
2John LudvigWilliam Trudeau40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Vladislav Kamenev40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MoverareZac Jones60122
2John LudvigWilliam Trudeau40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jacob MoverareZac Jones60122
240122John LudvigWilliam Trudeau40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Vladislav Kamenev40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MoverareZac Jones60122
2John LudvigWilliam Trudeau40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jacob MoverareZac Jones
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jacob MoverareZac Jones
Extra Forwards
Normal PowerPlayPenalty Kill
Zach Dean, , Vladislav KamenevZach Dean, Zach Dean
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Gavin Bayreuther,
Penalty Shots
, , , , Zach Dean
Goalie
#1 : Nico Daws, #2 :
Custom OT Lines Forwards
, , , , Zach Dean, , , Vladislav Kamenev, Michael Dal Colle, Max Comtois, Phelix Martineau
Custom OT Lines Defensemen
Jacob Moverare, Zac Jones, John Ludvig, William Trudeau,


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,957,251$ 1,957,251$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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
Regular Season
20177839260642151041397391713044012602194139221302020250194569951087013801010521018792633799913901302302758849175737018850.81%2529462.70%15789145754.15%666127852.11%921176252.27%1777104216316301305708
20198238240115402432053841171108410114971741211303130129108211112434436861580717715276387691592267258380455518792785118.35%2293385.59%21452301648.14%1370283948.26%607122649.51%2053144618935831028523
20208246230940036327786412410061001921375541221303300171140311143636671030111471051029351611921119117134276878961921302885920.49%2615778.16%61778340452.23%1561293653.17%786145953.87%2040143318605871051530
2021821449010702357456-994172506300185227-424172404402172229-5757357680103730015310688388001311125912554076115463223552544517.72%2869168.18%31524344844.20%1557355243.83%669156342.80%180712682164586996472
202282293903344312346-3441151801142160163-341142102202152183-31793125648761001249388345501100119511103441101770722262907024.14%2877175.26%11865337755.23%1818321456.57%825147655.89%2128152818425531000519
202382343707310394400-641161904110194205-11411818032002001955873947351129210167117102408401365136613084090112763626242586023.26%2896577.51%91657354746.72%1611356445.20%751156647.96%194913992020564982488
202482323905600336362-2641181603400191185641142302200145177-32803366449804001501037836970126111691243351098859125552715219.19%2587072.87%21531325347.06%1515316847.82%682144147.33%201214681967546959478
202582264306520255302-4741122105300126148-2241142201220129154-2573255452707400958567245908517598263481101660721712155626.05%2564084.38%21271255649.73%1704339650.18%682129952.50%194213662025551986496
Total Regular Season6522582800573713727702761932612613303721631422138141326132147020167413481380-327002770505578251773321075870456264872867883587425873262517653519617697222458126.12%211852175.40%40118672405849.33%118022394749.28%59231179250.23%157111095415405460583114217
Playoff
20171915400000124814397200000532924108200000715219301242023260026534418042313182532669230196408904246.67%602755.00%621647145.86%17839844.72%19940149.63%424267415155302152
2019624000001520-53210000098130300000612-6415274210913221768557717238544016219526.32%20765.00%011823749.79%11624846.77%399839.80%151105148458139
20231046000004750-3523000002427-35230000023230847881350002313114420148155139461129107291431227.91%401172.50%018040344.67%19244742.95%7818641.94%2251592517312258
Total Playoff3521140000018615135171160000086642218108000001008713421863175031035776014146329952148515813684133438611525938.82%1204562.50%6514111146.26%486109344.46%31668546.13%801532815273506250