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Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pascal Verret | Morale : 1 | Team Overall : 63
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Team Leaders

Team Stats
Team Info

General ManagerPascal Verret
CoachAdams Oates
DivisionThayer-Tutt
ConferenceRobert-Lebel
Captain
Assistant #1Ludwig Bystrom
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team34
Farm Team20
Contract Limit54 / 250
Prospects0


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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 SPAgeContractSalary
1Lane MacDermidX100.007744787675677473667472696869662811710281700,000$
2Nathan Walker (R)X100.006931727772786977717572647351515038700231850,000$
3Nikolay Goldobin (R)X100.006537827568705880647170687947445630690211850,000$
4Mathieu Joseph (R)X100.007337707375627474596774696445435849680203950,000$
5Dylan Strome (R)X100.006128786763797473848169525349436736670204950,000$
6Chase De Leo (R)X100.006530817066697167697673516145445730660211750,000$
7Michael McLeod (R)X100.005237738362635682616470637343426446660191500,000$
8Julien Gauthier (R)X100.006129775574626167586973486144425646620201500,000$
9Nick Merkley (R)X100.005735816157666370806862395942425622610204550,000$
10Mitchell Stephens (R)X100.004827907066796549706658614642425923600202500,000$
11Boris Katchouk (R)X100.006742726364626968625863476342437225600192500,000$
12Kieffer Bellows (R)X100.006024795174666661636171406741426519590191500,000$
13Jake Leschyshyn (R)X100.007436596075577866565853444740407931570182500,000$
14Ludwig Bystrom (R) (A)X100.007323787874727677497158775861474146710231975,000$
15Roman JosiX100.0073308671747379725370757365645233207102711,000,000$
16Erik Cernak (R)X100.007735726979786356417264775049446215700202950,000$
17Matthew Benning (R)X100.006722796866716166457061725549494523660231750,000$
18Juuso Valimaki (R)X100.005030667654615977297947674641417331620192500,000$
19Josh Mahura (R)X100.005137747254575975266652623841415913600191500,000$
Scratches
1Tomas JurcoX100.007733767282716871717673657364603625710251700,000$
2Vinni Lettieri (R)X100.006539867278777353667656635749484919650222500,000$
3Anders Bjork (R)X100.006029738056626181586863567143434818640211600,000$
4Nathan Bastian (R)X100.004941725760726166796561495942445214600201500,000$
5Max Jones (R)X100.006742666570557360466659544441416116590191500,000$
6William Bitten (R)X100.007140616468516964495664505841425916590191500,000$
7Tim Gettinger (R)X100.005629655164595460505862316541416020540191500,000$
8Nelson Nogier (R)X100.006641746466676260386657694543434716640211600,000$
9Urho Vaakanainen (R)X100.005623765957575747285936643840407717560182500,000$
10Jonathan Kovacevic (R)X100.006133635655635443356137593542444920550201350,000$
TEAM AVERAGE100.00643374676766666756686259584745562564
Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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
1Filip Gustavsson (R)100.00646774635478795648786445427351630191500,000$
2Daniel Vladar (R)100.00536644675767557065555742436825590203500,000$
Scratches
1Brandon Halverson100.00727772707572727167687348445239700211850,000$
2Karel Vejmelka (R)100.00725869787460556271487145475514640212500,000$
3Joey Daccord100.00676665485273735352685344435520600211600,000$
TEAM AVERAGE100.0066676565627067626163644544613063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adams Oates53568572375954CAN531950,000$


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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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
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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
# 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
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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
Anders BjorkMoose (Win)LW211996-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$NoLink
Boris KatchoukMoose (Win)LW191998-01-01Yes206 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Brandon HalversonMoose (Win)G211996-01-01No203 Lbs6 ft4NoNoNo1Pro & Farm850,000$0$0$NoLink
Chase De LeoMoose (Win)C211996-01-01Yes179 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLink
Daniel VladarMoose (Win)G201997-01-01Yes185 Lbs6 ft5NoNoNo3Pro & Farm500,000$0$0$No700,000$750,000$Link
Dylan StromeJetsC201997-01-01Yes200 Lbs6 ft3NoNoNo4Pro & Farm950,000$950,000$0$No975,000$1,500,000$2,250,000$Link
Erik CernakMoose (Win)D201997-01-01Yes233 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No975,000$Link
Filip GustavssonMoose (Win)G191998-01-01Yes183 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Jake LeschyshynMoose (Win)C181999-01-01Yes192 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Joey DaccordMoose (Win)G211996-01-01No197 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoLink
Jonathan KovacevicMoose (Win)D201997-01-01Yes208 Lbs6 ft4NoNoNo1Pro & Farm350,000$0$0$NoLink
Josh MahuraMoose (Win)D191998-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLink
Julien GauthierMoose (Win)RW201997-01-01Yes227 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLink
Juuso ValimakiMoose (Win)D191998-01-01Yes212 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Karel VejmelkaMoose (Win)G211996-01-01Yes224 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Kieffer BellowsMoose (Win)RW191998-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLink
Lane MacDermidMoose (Win)LW281989-01-01No215 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Ludwig BystromMoose (Win)D231994-01-01Yes169 Lbs6 ft0NoNoNo1Pro & Farm975,000$0$0$NoLink
Mathieu JosephMoose (Win)RW201997-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm950,000$0$0$No975,000$1,000,000$Link
Matthew BenningMoose (Win)D231994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink
Max JonesMoose (Win)LW191998-01-01Yes220 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLink
Michael McLeodMoose (Win)C191998-01-01Yes187 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Mitchell StephensMoose (Win)C201997-01-01Yes193 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Nathan BastianMoose (Win)RW201997-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLink
Nathan WalkerMoose (Win)LW231994-01-01Yes186 Lbs5 ft9NoNoNo1Pro & Farm850,000$0$0$NoLink
Nelson NogierMoose (Win)D211996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoLink
Nick MerkleyMoose (Win)RW201997-01-01Yes194 Lbs5 ft10NoNoNo4Pro & Farm550,000$0$0$No550,000$650,000$650,000$Link
Nikolay GoldobinMoose (Win)LW211996-01-01Yes196 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLink
Roman JosiMoose (Win)D271990-01-01No198 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$No
Tim GettingerMoose (Win)LW191998-01-01Yes220 Lbs6 ft6NoNoNo1Pro & Farm500,000$0$0$NoLink
Tomas JurcoMoose (Win)RW251992-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Urho VaakanainenMoose (Win)D181999-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Vinni LettieriMoose (Win)RW221995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
William BittenMoose (Win)RW191998-01-01Yes179 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3420.74198 Lbs6 ft11.53631,618$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lane MacDermidChase De LeoMathieu Joseph40122
2Nathan WalkerMichael McLeodJulien Gauthier30122
3Nikolay GoldobinMitchell StephensNick Merkley20122
4Boris KatchoukJake LeschyshynKieffer Bellows10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromRoman Josi40122
2Erik CernakMatthew Benning30122
3Juuso ValimakiJosh Mahura20122
4Ludwig BystromRoman Josi10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lane MacDermidChase De LeoMathieu Joseph60122
2Nathan WalkerMichael McLeodJulien Gauthier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromRoman Josi60122
2Erik CernakMatthew Benning40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chase De LeoLane MacDermid60122
2Michael McLeodNathan Walker40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromRoman Josi60122
2Erik CernakMatthew Benning40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chase De Leo60122Ludwig BystromRoman Josi60122
2Michael McLeod40122Erik CernakMatthew Benning40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chase De LeoLane MacDermid60122
2Michael McLeodNathan Walker40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ludwig BystromRoman Josi60122
2Erik CernakMatthew Benning40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lane MacDermidChase De LeoMathieu JosephLudwig BystromRoman Josi
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lane MacDermidChase De LeoMathieu JosephLudwig BystromRoman Josi
Extra Forwards
Normal PowerPlayPenalty Kill
Chase De Leo, Michael McLeod, Julien GauthierChase De Leo, Michael McLeodChase De Leo
Extra Defensemen
Normal PowerPlayPenalty Kill
Matthew Benning, Juuso Valimaki, Josh MahuraMatthew BenningMatthew Benning, Juuso Valimaki
Penalty Shots
Lane MacDermid, Nathan Walker, Nikolay Goldobin, Mathieu Joseph, Chase De Leo
Goalie
#1 : Filip Gustavsson, #2 : Daniel Vladar


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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.
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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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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
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,052,500$ 1,702,500$ 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