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Moose
GP: 13 | W: 7 | L: 6
GF: 52 | GA: 53 | PP%: 26.92% | PK%: 89.09%
GM : Pascal Verret | Morale : 36 | Team Overall : 64
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Game Center
Griffins
8-9-0, 16pts
7
FINAL
5 Moose
7-6-0, 14pts
Team Stats
L1StreakL2
4-5-0Home Record3-3-0
4-4-0Home Record4-3-0
4-5-1Last 10 Games6-4-0
4.41Goals Per Game4.00
4.06Goals Against Per Game4.08
19.75%Power Play Percentage26.92%
73.68%Penalty Kill Percentage89.09%
Moose
7-6-0, 14pts
1
FINAL
4 Griffins
8-9-0, 16pts
Team Stats
L2StreakL1
3-3-0Home Record4-5-0
4-3-0Home Record4-4-0
6-4-0Last 10 Games4-5-1
4.00Goals Per Game4.41
4.08Goals Against Per Game4.06
26.92%Power Play Percentage19.75%
89.09%Penalty Kill Percentage73.68%
Team Leaders
Goals
Michael McLeod
15
Assists
Nikolay Goldobin
9
Points
Michael McLeod
19
Plus/Minus
Adam Ginning
3
Wins
Filip Gustavsson
7
Save Percentage
Daniel Vladar
0.944

Team Stats
Goals For
52
4.00 GFG
Shots For
426
32.77 Avg
Power Play Percentage
26.9%
14 GF
Offensive Zone Start
38.3%
Goals Against
53
4.08 GAA
Shots Against
376
28.92 Avg
Penalty Kill Percentage
89.1%%
6 GA
Defensive Zone Start
35.0%
Team Info

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


Arena Info

Capacity3,000
Attendance2,991
Season Tickets300


Roster Info

Pro Team34
Farm Team18
Contract Limit52 / 250
Prospects0


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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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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
1Dylan Strome (R)X100.006628817171837878878373575856476084710213975,000$
2Mathieu Joseph (R)X100.007638747676687776627177736852465384710212975,000$
3Nikolay Goldobin (R)X100.006937827774726182677472717951475183710223975,000$
4Michael McLeod (R)X100.005837768567716284676773677647445883700203975,000$
5Chase De Leo (R)X100.006930837272727370727875556449465275690222900,000$
6Nick Paul (R)X100.006649847173707068677374596945454083680232800,000$
7Vinni Lettieri (R)X100.006539867379787457687860656050504535670231500,000$
8Anders Bjork (R)X100.006429758262686582617061597144454479660221650,000$
9Julien Gauthier (R)X100.006429816175686070647175546446435174650212650,000$
10Boris Katchouk (R)X100.007042766863687272676366536743456583640201500,000$
11Kieffer Bellows (R)X100.006324815676696965666473457043445962630203550,000$
12Jake Leschyshyn (R)X100.007636656677618071636560525442427083620191500,000$
13Ludwig Bystrom (R)X100.007423777978767979507361786169503861730241975,000$
14Matthew Benning (R)X100.007022817171746568497161755752514152690241850,000$
15Juuso Valimaki (R)X100.005630708062696479368151715043436534660201500,000$
16Nelson Nogier (R)X100.006641766668696463426860724845454346660221650,000$
17Caleb Jones (R)X100.007344596075704459345752703943435541630211550,000$
18Josh Mahura (R)X100.005537757458636277326956664343435484630203650,000$
19Joey Keane (R)X100.006342806063645966486546595642415841610192500,000$
Scratches
1Tomas JurcoX100.007633757183747073737772657267623338710261775,000$
2Mitchell Stephens (R)X100.004929937167826651736859634843435220620211500,000$
3Nathan Bastian (R)X100.005142746061736369816762526143454620620211500,000$
4Max Jones (R)X100.006844676671567563486962564642425419610202500,000$
5William Bitten (R)X100.007242636669557166515966516042435220600202500,000$
6Riley Damiani (R)X100.005521725547586162686757425040407420560182500,000$
7Jonatan Berggren (R)X100.005528766153566364677055364440406820560182500,000$
8Alexander Khovanov (R)X100.004121696041606052646151394640406320520182500,000$
9Adam Ginning (R)X100.006241626475694848316345564540406624590182500,000$
10Jonathan Kovacevic (R)X100.006234645758655647366240623643454420570211400,000$
11Jonny Tychonick (R)X100.005332695949395972265541604140407520550182500,000$
TEAM AVERAGE100.00643475686767666857696159574645545064
Filter Tips
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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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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Filip Gustavsson100.00697278686182836155826949446584680203950,000$
2Daniel Vladar100.00546848695968597266575843446154610212700,000$
Scratches
1Karel Vejmelka100.00756071817661576573497346484924660221500,000$
2Joey Daccord100.00696767505474755754705545444924620222500,000$
TEAM AVERAGE100.0067676667637169646265644645564764
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar53568572375954CAN543950,000$


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.
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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
1Michael McLeodMoose (Win)C1315419-460241859113425.42%722417.237188311013223146.31%14953011.7000000220
2Dylan StromeMoose (Win)C138715-860193147184117.02%1029822.942355411012493051.62%432810001.0100000111
3Nikolay GoldobinMoose (Win)LW135914-78016135521429.09%729522.762249410004471148.15%2793110.9500000200
4Mathieu JosephMoose (Win)RW134913-514025154814268.33%424318.77033441000000147.62%2173001.0700000110
5Ludwig BystromMoose (Win)D91910-480171322934.55%320622.9005553100009000%063000.9700000000
6Nick PaulMoose (Win)LW133710-420221523111513.04%422717.482576310000240030.77%1356000.8800000020
7Nelson NogierMoose (Win)D13178-320191912858.33%1933425.76000133011051000%0215000.4811000000
8Anders BjorkMoose (Win)LW132572401071981610.53%215612.07000010000160040.00%5101000.8900000001
9Vinni LettieriMoose (Win)RW13066-4001414145110%220015.39033230000000057.14%705000.6000000000
10Jake LeschyshynMoose (Win)C135160401691741129.41%11138.7300000000070147.22%3611001.0600000011
11Chase De LeoMoose (Win)C1342622018152971313.79%416312.58000010000200050.00%6483000.7300000010
12Caleb JonesMoose (Win)D13055-29527227450%925219.44000014000036000%0010000.4000000000
13Juuso ValimakiMoose (Win)D13145-5180182120175.00%2131324.12112543022144000%0715000.3200000000
14Boris KatchoukMoose (Win)LW13033040410127120%31048.0800000000000033.33%330000.5700000000
15Joey KeaneMoose (Win)D13112-112091242225.00%617413.390000000009000%009000.2300000000
16Julien GauthierMoose (Win)RW1311220015914547.14%213610.510000100000000%212000.2900000000
17Josh MahuraMoose (Win)D13112-7100822168116.25%1124118.56000126000035000%074000.1700000001
18Adam GinningMoose (Win)D4011320340000%65012.740000000001000%002000.3900000000
19Kieffer BellowsMoose (Win)RW130110004108160%01037.9700000000000025.00%410000.1900000000
Team Total or Average2345283135-45111528827942614426412.21%121384216.4214233746370235103757449.28%7638095120.7011000684
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
1Filip GustavssonMoose (Win)137510.8554.0876520523581742000130000
2Daniel VladarMoose (Win)10000.9442.502400118120000013000
Team Total or Average147510.8594.0378920533761862001313000


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 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
Adam GinningMoose (Win)D182000-01-01Yes196 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Alexander KhovanovMoose (Win)C182000-01-01Yes192 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Anders BjorkMoose (Win)LW221996-01-01Yes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Boris KatchoukMoose (Win)LW201998-01-01Yes206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Caleb JonesMoose (Win)D211997-01-01Yes194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm550,000$0$0$No------------------
Chase De LeoMoose (Win)C221996-01-01Yes179 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Daniel VladarMoose (Win)G211997-01-01No185 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No750,000$--------No--------
Dylan StromeMoose (Win)C211997-01-01Yes200 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No1,500,000$2,250,000$-------NoNo-------
Filip GustavssonMoose (Win)G201998-01-01No183 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Jake LeschyshynMoose (Win)C191999-01-01Yes192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Joey DaccordMoose (Win)G221996-01-01No197 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Joey KeaneMoose (Win)D191999-01-01Yes187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Jonatan BerggrenMoose (Win)LW182000-01-01Yes195 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Jonathan KovacevicMoose (Win)D211997-01-01Yes208 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm400,000$0$0$No------------------
Jonny TychonickMoose (Win)D182000-01-01Yes187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Josh MahuraMoose (Win)D201998-01-01Yes185 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------NoNo-------
Julien GauthierMoose (Win)RW211997-01-01Yes227 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------
Juuso ValimakiMoose (Win)D201998-01-01Yes212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Karel VejmelkaMoose (Win)G221996-01-01No224 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Kieffer BellowsMoose (Win)RW201998-01-01Yes194 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm550,000$0$0$No550,000$550,000$-------NoNo-------
Ludwig BystromMoose (Win)D241994-01-01Yes169 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------
Mathieu JosephMoose (Win)RW211997-01-01Yes190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$0$0$No1,000,000$--------No--------
Matthew BenningMoose (Win)D241994-01-01Yes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------
Max JonesMoose (Win)LW201998-01-01Yes220 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Michael McLeodMoose (Win)C201998-01-01Yes187 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------NoNo-------
Mitchell StephensMoose (Win)C211997-01-01Yes193 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nathan BastianMoose (Win)RW211997-01-01Yes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nelson NogierMoose (Win)D221996-01-01Yes191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Nick PaulMoose (Win)LW231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No900,000$--------No--------
Nikolay GoldobinMoose (Win)LW221996-01-01Yes196 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------NoNo-------
Riley DamianiMoose (Win)C182000-01-01Yes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Tomas JurcoMoose (Win)RW261992-01-01No203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------
Vinni LettieriMoose (Win)RW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
William BittenMoose (Win)RW201998-01-01Yes179 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3420.82194 Lbs6 ft11.76645,588$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolay GoldobinDylan StromeMathieu Joseph40122
2Nick PaulMichael McLeodVinni Lettieri30122
3Anders BjorkChase De LeoJulien Gauthier20122
4Boris KatchoukJake LeschyshynKieffer Bellows10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew BenningJuuso Valimaki40122
2Nelson NogierCaleb Jones30122
3Josh MahuraJoey Keane20122
4Matthew BenningJuuso Valimaki10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolay GoldobinDylan StromeMathieu Joseph60122
2Nick PaulMichael McLeodVinni Lettieri40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew BenningJuuso Valimaki60122
2Nelson NogierCaleb Jones40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dylan StromeNikolay Goldobin60122
2Michael McLeodNick Paul40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew BenningJuuso Valimaki60122
2Nelson NogierCaleb Jones40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dylan Strome60122Matthew BenningJuuso Valimaki60122
2Michael McLeod40122Nelson NogierCaleb Jones40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan StromeNikolay Goldobin60122
2Michael McLeodNick Paul40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew BenningJuuso Valimaki60122
2Nelson NogierCaleb Jones40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikolay GoldobinDylan StromeMathieu JosephMatthew BenningJuuso Valimaki
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikolay GoldobinDylan StromeMathieu JosephMatthew BenningJuuso Valimaki
Extra Forwards
Normal PowerPlayPenalty Kill
Chase De Leo, Nick Paul, Vinni LettieriChase De Leo, Nick PaulChase De Leo
Extra Defensemen
Normal PowerPlayPenalty Kill
Caleb Jones, Josh Mahura, Joey KeaneCaleb JonesCaleb Jones, Josh Mahura
Penalty Shots
Mathieu Joseph, Nikolay Goldobin, Dylan Strome, Michael McLeod, Chase De Leo
Goalie
#1 : Filip Gustavsson, #2 : Daniel Vladar
Custom OT Lines Forwards
Mathieu Joseph, Nikolay Goldobin, Dylan Strome, Michael McLeod, Chase De Leo, Nick Paul, Nick Paul, Vinni Lettieri, Anders Bjork, Julien Gauthier, Boris Katchouk
Custom OT Lines Defensemen
Matthew Benning, Juuso Valimaki, Nelson Nogier, Caleb Jones, Josh Mahura


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
1Griffins734000002630-4312000001214-2422000001416-260.429264268001318183220160125130112115064170341029.41%32487.50%114929251.03%14226753.18%8520441.67%276154274125238113
2Reign64200000262333210000012111321000001412280.66726416700131818320616012513011165714911818422.22%23291.30%114929251.03%14226753.18%8520441.67%276154274125238113
Total1376000005253-1633000002425-17430000028280140.538528313500131818342616012513011376121113288521426.92%55689.09%214929251.03%14226753.18%8520441.67%276154274125238113
_Since Last GM Reset1376000005253-1633000002425-17430000028280140.538528313500131818342616012513011376121113288521426.92%55689.09%214929251.03%14226753.18%8520441.67%276154274125238113
_Vs Conference1376000005253-1633000002425-17430000028280140.538528313500131818342616012513011376121113288521426.92%55689.09%214929251.03%14226753.18%8520441.67%276154274125238113
_Vs Division734000002630-4312000001214-2422000001416-260.429264268001318183220160125130112115064170341029.41%32487.50%114929251.03%14226753.18%8520441.67%276154274125238113

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1314L2528313542637612111328800
All Games
GPWLOTWOTL SOWSOLGFGA
137600005253
Home Games
GPWLOTWOTL SOWSOLGFGA
63300002425
Visitor Games
GPWLOTWOTL SOWSOLGFGA
74300002828
Last 10 Games
WLOTWOTL SOWSOL
343000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
521426.92%55689.09%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
160125130111318183
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
14929251.03%14226753.18%8520441.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
276154274125238113


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
12Moose6Reign4WBoxScore
210Moose4Reign5LXBoxScore
318Reign4Moose2LBoxScore
426Reign3Moose4WXBoxScore
534Moose4Reign3WXBoxScore
642Reign4Moose6WBoxScore
857Moose3Griffins2WXR1BoxScore
961Moose2Griffins5LBoxScore
1065Griffins2Moose4WR1BoxScore
1169Griffins5Moose3LBoxScore
1273Moose8Griffins5WR1BoxScore
1377Griffins7Moose5LBoxScore
1481Moose1Griffins4LR1BoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance11,9615,984
Attendance PCT99.68%99.73%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
34 2991 - 99.69% 188,410$1,130,462$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,195,000$ 2,170,000$ 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 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