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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 : 65
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Team Leaders

Team Stats
Team Info

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


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team33
Farm Team18
Contract Limit51 / 250
Prospects0


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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
1Sam Reinhart (R)X100.006935767369767577798375576050456140710203990,000$
2Nathan Walker (R)X100.006931727772786977717572647351515040700221850,000$
3Nikolay Goldobin (R)X100.006537827568705880647170687947445640690201850,000$
4Chase De Leo (R)X100.006530817066697167697673516145445740660201750,000$
5Michael McLeod (R)X100.005237738362635682616470637343426440660181500,000$
6Tony DeAngelo (R)X100.006337808069718079439058765664455340720201950,000$
Scratches
1Justin Bailey (R)X100.007334856379747173777185586654445240700212990,000$
2Roope Hintz (R)X100.007846757673697469677675677352456240700203975,000$
3Dominik Kahun (R)X100.006030816964787674857969566154465540680212975,000$
4Mathieu Joseph (R)X100.007337707375627474596774696445435840680193950,000$
5Dylan Strome (R)X100.006128786763797473848169525349436740670194950,000$
6Vladimir Tkachev (R)X100.005444807157685961606173637049494740640222500,000$
7Carl Grundstrom (R)X100.006852846165706464646364636743457240640191500,000$
8Julien Gauthier (R)X100.006129775574626167586973486144425640620191500,000$
9Mitchell Stephens (R)X100.004827907066796549706658614642425940600192500,000$
10Boris Katchouk (R)X100.006742726364626968625863476342437240600192500,000$
11Nathan Bastian (R)X100.004941725760726166796561495942445240600191500,000$
12Max Jones (R)X100.006742666570557360466659544441416140590181500,000$
13Jake Leschyshyn (R)X100.007436596075577866565853444740407943570182500,000$
14Jonah Gadjovich (R)X100.006241595775437064485264415142437040560192500,000$
15Tim Gettinger (R)X100.005629655164595460505862316541416040540181500,000$
16Mirco Mueller (R)X100.007222827174787472557463815655454940720211990,000$
17Ludwig Bystrom (R)X100.007323787874727677497158775861474140710221975,000$
18Erik Cernak (R)X100.007735726979786356417264775049446240700192950,000$
19Matthew Benning (R)X100.006722796866716166457061725549494540660221750,000$
20Juuso Valimaki (R)X100.005030667654615977297947674641417340620192500,000$
21Josh Mahura (R)X100.005137747254575975266652623841415940600181500,000$
22Urho Vaakanainen (R)X100.005623765957575747285936643840407740560182500,000$
TEAM AVERAGE100.00643475686768676958696460584744604065
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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
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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 SPAgeContractSalary
1Elvis Merzlikins100.006685687679757490857567584750407602111,200,000$
2Brandon Halverson100.00727772707572727167687348445249700201850,000$
3Filip Gustavsson (R)100.00646774635478795648786445427340630181500,000$
Scratches
1Karel Vejmelka (R)100.00725869787460556271487145475540640212500,000$
2Joey Daccord100.00676665485273735352685344435540600201600,000$
TEAM AVERAGE100.0068717067677271666567664845574267
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adams Oates53568572375954CAN531950,000$


Filter Tips
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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
# 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
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
Boris KatchoukMoose (Win)LW191997-01-01Yes206 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Brandon HalversonMoose (Win)G201996-01-01No203 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$0$0$NoLink
Carl GrundstromMoose (Win)RW191997-01-01Yes194 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Chase De LeoMoose (Win)C201996-01-01Yes179 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Dominik KahunMoose (Win)C211995-01-01Yes175 Lbs5 ft11NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$Link
Dylan StromeMoose (Win)C191997-01-01Yes200 Lbs6 ft3NoNoNo4Pro & Farm950,000$950,000$0$0$No975,000$1,500,000$2,250,000$Link
Elvis MerzlikinsMoose (Win)G211995-01-01No183 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLink
Erik CernakMoose (Win)D191997-01-01Yes233 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No975,000$Link
Filip GustavssonMoose (Win)G181998-01-01Yes183 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Jake LeschyshynMoose (Win)C181998-01-01Yes192 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Joey DaccordMoose (Win)G201996-01-01No197 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$0$0$NoLink
Jonah GadjovichMoose (Win)LW191997-01-01Yes209 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Josh MahuraMoose (Win)D181998-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Julien GauthierMoose (Win)RW191997-01-01Yes227 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Justin BaileyMoose (Win)LW211995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm990,000$990,000$0$0$No990,000$Link
Juuso ValimakiMoose (Win)D191997-01-01Yes212 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Karel VejmelkaMoose (Win)G211995-01-01Yes224 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Ludwig BystromMoose (Win)D221994-01-01Yes169 Lbs6 ft0NoNoNo1Pro & Farm975,000$975,000$0$0$NoLink
Mathieu JosephMoose (Win)RW191997-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No975,000$1,000,000$Link
Matthew BenningMoose (Win)D221994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Max JonesMoose (Win)LW181998-01-01Yes220 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Michael McLeodMoose (Win)C181998-01-01Yes187 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Mirco MuellerMoose (Win)D211995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm990,000$990,000$0$0$NoLink
Mitchell StephensMoose (Win)C191997-01-01Yes193 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Nathan BastianMoose (Win)RW191997-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Nathan WalkerMoose (Win)RW221994-01-01Yes186 Lbs5 ft9NoNoNo1Pro & Farm850,000$850,000$0$0$NoLink
Nikolay GoldobinMoose (Win)LW201996-01-01Yes196 Lbs5 ft11NoNoNo1Pro & Farm850,000$850,000$0$0$NoLink
Roope HintzMoose (Win)LW201996-01-01Yes220 Lbs6 ft3NoNoNo3Pro & Farm975,000$975,000$0$0$No1,500,000$2,250,000$Link
Sam ReinhartMoose (Win)RW201996-01-01Yes192 Lbs6 ft1NoNoNo3Pro & Farm990,000$990,000$0$0$No1,600,000$2,500,000$Link
Tim GettingerMoose (Win)LW181998-01-01Yes220 Lbs6 ft6NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Tony DeAngeloMoose (Win)D201996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Urho VaakanainenMoose (Win)D181998-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Vladimir TkachevMoose (Win)LW221994-01-01Yes165 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3319.67196 Lbs6 ft11.61713,485$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam Reinhart40122
230122
3Michael McLeodNathan Walker20122
4Nikolay GoldobinChase De Leo10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Tony DeAngelo30122
320122
4Tony DeAngelo10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam Reinhart60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tony DeAngelo60122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael McLeod60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam Reinhart60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Tony DeAngelo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sam ReinhartTony DeAngelo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nathan Walker
Extra Forwards
Normal PowerPlayPenalty Kill
, Sam Reinhart, Nathan Walker, Nathan Walker
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
Nathan Walker, , Nikolay Goldobin, ,
Goalie
#1 : Elvis Merzlikins, #2 : Filip Gustavsson


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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
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$ 2,354,500$ 1,880,500$ 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