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Moose
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pascal Verret | Morale : 40 | Team Overall : 64
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Team Leaders

Team Stats
Team Info

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


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team37
Farm Team19
Contract Limit56 / 250
Prospects0


Filter Tips
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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
1Mathieu Joseph (R)X100.007638747676687776627177736852465340710212975,000$
2Nick Merkley (R)X100.006035826262716674817266436344445140640213550,000$
3Boris Katchouk (R)X100.007042766863687272676366536743456540640201500,000$
4Jake Leschyshyn (R)X100.007636656677618071636560525442427040620191500,000$
5Mitchell Stephens (R)X100.004929937167826651736859634843435240620211500,000$
6Erik Cernak (R)X100.007935757481796661467568805555465640730211975,000$
7Juuso Valimaki (R)X100.005630708062696479368151715043436540660201500,000$
8Caleb Jones (R)X100.007344596075704459345752703943435532630211550,000$
Scratches
1Nathan Walker (R)X100.007231727977817177737872677558534640720242975,000$
2Nikolay Goldobin (R)X100.006937827774726182677472717951475140710223975,000$
3Tomas JurcoX100.007633757183747073737772657267623340710261775,000$
4Michael McLeod (R)X100.005837768567716284676773677647445840700203975,000$
5Chase De Leo (R)X100.006930837272727370727875556449465240690222900,000$
6Vinni Lettieri (R)X100.006539867379787457687860656050504540670231500,000$
7Anders Bjork (R)X100.006429758262686582617061597144454440660221650,000$
8Julien Gauthier (R)X100.006429816175686070647175546446435140650212650,000$
9Kieffer Bellows (R)X100.006324815676696965666473457043445940630203550,000$
10Nathan Bastian (R)X100.005142746061736369816762526143454640620211500,000$
11Adam Ruzicka (R)X100.007039676780537762516467525641417237610191500,000$
12Max Jones (R)X100.006844676671567563486962564642425440610202500,000$
13William Bitten (R)X100.007242636669557166515966516042435240600202500,000$
14Riley Damiani (R)X100.005521725547586162686757425040407440560182500,000$
15Jonatan Berggren (R)X100.005528766153566364677055364440406840560182500,000$
16Alexander Khovanov (R)X100.004121696041606052646151394640406340520182500,000$
17Ludwig Bystrom (R) (A)X100.007423777978767979507361786169503840730241975,000$
18Matthew Benning (R)X100.007022817171746568497161755752514140690241850,000$
19Nelson Nogier (R)X100.006641766668696463426860724845454340660221650,000$
20Josh Mahura (R)X100.005537757458636277326956664343435440630203650,000$
21Joey Keane (R)X100.006342806063645966486546595642415840610192500,000$
22Adam Ginning (R)X100.006241626475694848316345564540406640590182500,000$
23Urho Vaakanainen (R)X100.005824786058585850306138684141416940580191500,000$
24Jonathan Kovacevic (R)X100.006234645758655647366240623643454440570211400,000$
25Jonny Tychonick (R)X100.005332695949395972265541604140407540550182500,000$
TEAM AVERAGE100.00643474686867656756686160574645554064
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
1Daniel Vladar100.00546848695968597266575843446140610212700,000$
Scratches
1Filip Gustavsson100.00697278686182836155826949446540680203950,000$
2Karel Vejmelka100.00756071817661576573497346484940660221500,000$
3Joey Daccord100.00696767505474755754705545444940620222500,000$
TEAM AVERAGE100.0067676667637169646265644645564064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar53568572375954CAN543950,000$


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
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 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 10Link
Adam GinningMoose (Win)D182000-01-01Yes196 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Adam RuzickaMoose (Win)C191999-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Alexander KhovanovMoose (Win)C182000-01-01Yes192 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Anders BjorkMoose (Win)LW221996-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$0$0$No
Boris KatchoukMoose (Win)LW201998-01-01Yes206 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Caleb JonesMoose (Win)D211997-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm550,000$550,000$0$0$No
Chase De LeoMoose (Win)C221996-01-01Yes179 Lbs5 ft9NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$
Daniel VladarMoose (Win)G211997-01-01No185 Lbs6 ft5NoNoNo2Pro & Farm700,000$700,000$0$0$No750,000$
Erik CernakMoose (Win)D211997-01-01Yes233 Lbs6 ft3NoNoNo1Pro & Farm975,000$975,000$0$0$No
Filip GustavssonMoose (Win)G201998-01-01No183 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Jake LeschyshynMoose (Win)C191999-01-01Yes192 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Joey DaccordMoose (Win)G221996-01-01No197 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Joey KeaneMoose (Win)D191999-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Jonatan BerggrenMoose (Win)LW182000-01-01Yes195 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Jonathan KovacevicMoose (Win)D211997-01-01Yes208 Lbs6 ft4NoNoNo1Pro & Farm400,000$400,000$0$0$No
Jonny TychonickMoose (Win)D182000-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Josh MahuraMoose (Win)D201998-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm650,000$650,000$0$0$No650,000$650,000$
Julien GauthierMoose (Win)RW211997-01-01Yes227 Lbs6 ft4NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$
Juuso ValimakiMoose (Win)D201998-01-01Yes212 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Karel VejmelkaMoose (Win)G221996-01-01No224 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kieffer BellowsMoose (Win)RW201998-01-01Yes194 Lbs6 ft1NoNoNo3Pro & Farm550,000$550,000$0$0$No550,000$550,000$
Ludwig BystromMoose (Win)D241994-01-01Yes169 Lbs6 ft0NoNoNo1Pro & Farm975,000$975,000$0$0$No
Mathieu JosephMoose (Win)RW211997-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm975,000$975,000$0$0$No1,000,000$
Matthew BenningMoose (Win)D241994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$0$0$No
Max JonesMoose (Win)LW201998-01-01Yes220 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Michael McLeodMoose (Win)C201998-01-01Yes187 Lbs6 ft2NoNoNo3Pro & Farm975,000$975,000$0$0$No975,000$975,000$
Mitchell StephensMoose (Win)C211997-01-01Yes193 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Nathan BastianMoose (Win)RW211997-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Nathan WalkerMoose (Win)LW241994-01-01Yes186 Lbs5 ft9NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$
Nelson NogierMoose (Win)D221996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm650,000$650,000$0$0$No
Nick MerkleyMoose (Win)RW211997-01-01Yes194 Lbs5 ft10NoNoNo3Pro & Farm550,000$550,000$0$0$No650,000$650,000$
Nikolay GoldobinMoose (Win)LW221996-01-01Yes196 Lbs5 ft11NoNoNo3Pro & Farm975,000$975,000$0$0$No975,000$975,000$
Riley DamianiMoose (Win)C182000-01-01Yes170 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Tomas JurcoMoose (Win)RW261992-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm775,000$775,000$0$0$No
Urho VaakanainenMoose (Win)D191999-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Vinni LettieriMoose (Win)RW231995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
William BittenMoose (Win)RW201998-01-01Yes179 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3720.76196 Lbs6 ft11.70639,865$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mathieu Joseph40122
230122
3Mitchell StephensNick Merkley20122
4Boris KatchoukJake Leschyshyn10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Erik Cernak30122
3Juuso Valimaki20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mathieu Joseph60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Erik Cernak40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Erik Cernak40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Erik Cernak40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Erik Cernak40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mathieu Joseph
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mathieu Joseph
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Juuso Valimaki, , Juuso Valimaki
Penalty Shots
, , , Mathieu Joseph,
Goalie
#1 : , #2 : Daniel Vladar
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,367,500$ 2,342,500$ 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$




Moose 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 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