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Moose
GP: 21 | W: 9 | L: 9 | OTL: 3 | P: 21
GF: 91 | GA: 100 | PP%: 19.39% | PK%: 77.65%
GM : Pascal Verret | Morale : 36 | Team Overall : 64
Next Games #291 vs Penguins
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Game Center
Heat
9-11-3, 21pts
4
FINAL
3 Moose
9-9-3, 21pts
Team Stats
L1StreakL1
3-7-1Home Record5-3-3
6-4-2Away Record4-6-0
4-5-1Last 10 Games2-6-2
3.61Goals Per Game4.33
4.22Goals Against Per Game4.76
15.46%Power Play Percentage19.39%
74.53%Penalty Kill Percentage77.65%
Moose
9-9-3, 21pts
1
FINAL
4 Griffins
17-6-0, 34pts
Team Stats
L1StreakW2
5-3-3Home Record10-1-0
4-6-0Away Record7-5-0
2-6-2Last 10 Games8-2-0
4.33Goals Per Game5.17
4.76Goals Against Per Game3.87
19.39%Power Play Percentage25.77%
77.65%Penalty Kill Percentage80.17%
Penguins
11-10-0, 22pts
2023-12-03
Moose
9-9-3, 21pts
Team Stats
W3StreakL1
5-6-0Home Record5-3-3
6-4-0Away Record4-6-0
7-3-0Last 10 Games2-6-2
3.76Goals Per Game4.33
4.00Goals Against Per Game4.33
21.51%Power Play Percentage19.39%
76.84%Penalty Kill Percentage77.65%
Moose
9-9-3, 21pts
2023-12-08
Senators
11-12-1, 23pts
Team Stats
L1StreakL8
5-3-3Home Record6-5-0
4-6-0Away Record5-7-1
2-6-2Last 10 Games1-9-0
4.33Goals Per Game4.29
4.76Goals Against Per Game4.29
19.39%Power Play Percentage24.00%
77.65%Penalty Kill Percentage67.31%
Admirals
10-7-6, 26pts
2023-12-09
Moose
9-9-3, 21pts
Team Stats
L1StreakL1
6-3-2Home Record5-3-3
4-4-4Away Record4-6-0
5-2-3Last 10 Games2-6-2
4.57Goals Per Game4.33
4.57Goals Against Per Game4.33
36.96%Power Play Percentage19.39%
76.09%Penalty Kill Percentage77.65%
Team Leaders
Goals
Dylan Strome
19
Assists
Dylan Strome
17
Points
Dylan Strome
36
Plus/Minus
Mathieu Joseph
5
Wins
Filip Gustavsson
9
Save Percentage
Filip Gustavsson
0.856

Team Stats
Goals For
91
4.33 GFG
Shots For
660
31.43 Avg
Power Play Percentage
19.4%
19 GF
Offensive Zone Start
35.3%
Goals Against
100
4.76 GAA
Shots Against
659
31.38 Avg
Penalty Kill Percentage
77.6%%
19 GA
Defensive Zone Start
36.2%
Team Info

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


Arena Info

Capacity3,000
Attendance2,787
Season Tickets300


Roster Info

Pro Team38
Farm Team18
Contract Limit56 / 250
Prospects0


Filter Tips
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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
1Kyle Connor (R)X100.006534917875778175636489557959495640720222950,000$
2Dylan Strome (R)X100.006628817171837878878373575856476038710213975,000$
3Mathieu Joseph (R)X100.007638747676687776627177736852465341710212975,000$
4Nikolay Goldobin (R)X100.006937827774726182677472717951475141710223975,000$
5Tomas JurcoX100.007633757183747073737772657267623319710261775,000$
6Michael McLeod (R)X100.005837768567716284676773677647445841700203975,000$
7Chase De Leo (R)X100.006930837272727370727875556449465233690222900,000$
8Anders Bjork (R)X100.006429758262686582617061597144454436660221650,000$
9Julien Gauthier (R)X100.006429816175686070647175546446435141650212650,000$
10Boris Katchouk (R)X100.007042766863687272676366536743456541640201500,000$
11Kieffer Bellows (R)X100.006324815676696965666473457043445941630203550,000$
12Jake Leschyshyn (R)X100.007636656677618071636560525442427041620191500,000$
13Mirco Mueller (R)X100.007322837179817775587666825963464544740231975,000$
14Ludwig Bystrom (R) (A)X100.007423777978767979507361786169503841730241975,000$
15Matthew Benning (R)X100.007022817171746568497161755752514141690241850,000$
16Juuso Valimaki (R)X100.005630708062696479368151715043436521660201500,000$
17Caleb Jones (R)X100.007344596075704459345752703943435522630211550,000$
18Josh Mahura (R)X100.005537757458636277326956664343435444630203650,000$
Scratches
1Vinni Lettieri (R)X100.006539867379787457687860656050504541670231500,000$
2Nick Merkley (R)X100.006035826262716674817266436344445120640213550,000$
3Mitchell Stephens (R)X100.004929937167826651736859634843435220620211500,000$
4Nathan Bastian (R)X100.005142746061736369816762526143454620620211500,000$
5Adam Ruzicka (R)X100.007039676780537762516467525641417222610191500,000$
6Max Jones (R)X100.006844676671567563486962564642425424610202500,000$
7William Bitten (R)X100.007242636669557166515966516042435220600202500,000$
8Riley Damiani (R)X100.005521725547586162686757425040407420560182500,000$
9Jonatan Berggren (R)X100.005528766153566364677055364440406820560182500,000$
10Alexander Khovanov (R)X100.004121696041606052646151394640406320520182500,000$
11Nelson Nogier (R)X100.006641766668696463426860724845454314660221650,000$
12Joey Keane (R)X100.006342806063645966486546595642415826610192500,000$
13Adam Ginning (R)X100.006241626475694848316345564540406624590182500,000$
14Urho Vaakanainen (R)X100.005824786058585850306138684141416920580191500,000$
15Jonathan Kovacevic (R)X100.006234645758655647366240623643454420570211400,000$
16Jonny Tychonick (R)X100.005332695949395972265541604140407520550182500,000$
TEAM AVERAGE100.00643375686867666857686160574745553064
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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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Filip Gustavsson99.00697278686182836155826949446541680203950,000$
2Daniel Vladar100.00546848695968597266575843446141610212700,000$
Scratches
1Karel Vejmelka100.00756071817661576573497346484920660221500,000$
2Joey Daccord100.00696767505474755754705545444920620222500,000$
TEAM AVERAGE99.7567676667637169646265644645563164
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar53568572375954CAN543950,000$


Filter Tips
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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
1Dylan StromeMoose (Win)C21191736140374978304524.36%1445621.76741113851014440252.71%7001411021.5801000421
2Nathan WalkerJetsLW171022323180293367265314.93%1038522.681569660001553058.33%96135001.6612000240
3Mathieu JosephMoose (Win)RW21914235180372557183615.79%1044821.351565850003451043.33%30183001.0313000003
4Nikolay GoldobinMoose (Win)LW2171522420362758233712.07%1136717.511238680111360144.44%18158001.2022000120
5Michael McLeodMoose (Win)C21101222480312564174815.63%934216.291458690001111148.35%242125001.2900000210
6Ludwig BystromMoose (Win)D21312153603444519175.88%4159428.30235988000275000.00%01226000.5000000000
7Chase De LeoMoose (Win)C194812-440151830151613.33%521011.0801105000041152.81%89144001.1400000100
8Julien GauthierMoose (Win)RW215712-6801821299917.24%724511.69101140110210141.18%1734000.9800000010
9Boris KatchoukMoose (Win)LW215510-76028132592420.00%42069.8300001000010085.71%761000.9700000000
10Vinni LettieriMoose (Win)RW193583203419134823.08%729415.49112160000001043.75%1627000.5400000000
11Erik CernakJetsD19178416041433611122.78%4653828.32123578000366010.00%0713000.3000000001
12Jake LeschyshynMoose (Win)C21347-914032142181814.29%41919.13000010000200038.81%6765000.7300000001
13Josh MahuraMoose (Win)D21257-71351425211339.52%1431214.86101330000025000.00%0211000.4500100000
14Anders BjorkMoose (Win)LW18415-8100191832122312.50%219210.68000070001190062.50%894000.5200000000
15Matthew BenningMoose (Win)D21145-10403334219114.76%1943520.72123358000053000.00%0210000.2300000000
16Kieffer BellowsMoose (Win)RW21055-92067114100.00%11607.6600000000000020.00%544000.6200000000
17Juuso ValimakiMoose (Win)D14134-7140151511789.09%1924617.5911224200008000.00%018000.3201000000
18Caleb JonesMoose (Win)D13033-610020156520.00%918013.8600019000013000.00%015000.3300000000
19Joey KeaneMoose (Win)D512310025100100.00%75611.310000100000000.00%000001.0600000000
20Kyle ConnorMoose (Win)LW3112-4006162916.67%06521.96011014000050080.00%531000.6100000000
21Adam RuzickaMoose (Win)C3011020402000.00%1289.5100000000000025.00%400000.7000000000
22Nelson NogierMoose (Win)D90111206108400.00%313314.8200009000021000.00%004000.1500000000
23Max JonesMoose (Win)LW3011-220224320.00%1237.900000000000000.00%010000.8400000000
24Adam GinningMoose (Win)D3000040042000.00%33411.620000000001000.00%001000.00%00000000
25Tomas JurcoMoose (Win)RW2000-320416550.00%13919.660000700000000.00%001000.00%00000000
Team Total or Average37889155244-53171550346866024339613.48%248619016.3819315068796123165327751.15%1304145141020.794910010106
Filter Tips
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
# 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)209820.8564.4611310084584265000.7147192001
2Daniel VladarMoose (Win)40110.7876.9613800167546000.00%0219000
Team Total or Average249930.8484.721270001006593110072121001


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
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$363,184$0$0$No500,000$Link
Adam RuzickaMoose (Win)C191999-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm500,000$363,184$0$0$No
Alexander KhovanovMoose (Win)C182000-01-01Yes192 Lbs5 ft11NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$Link
Anders BjorkMoose (Win)LW221996-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm650,000$472,139$0$0$No
Boris KatchoukMoose (Win)LW201998-01-01Yes206 Lbs6 ft2NoNoNo1Pro & Farm500,000$363,184$0$0$No
Caleb JonesMoose (Win)D211997-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm550,000$399,502$0$0$No
Chase De LeoMoose (Win)C221996-01-01Yes179 Lbs5 ft9NoNoNo2Pro & Farm900,000$653,731$0$0$No900,000$
Daniel VladarMoose (Win)G211997-01-01No185 Lbs6 ft5NoNoNo2Pro & Farm700,000$508,458$0$0$No750,000$
Dylan StromeMoose (Win)C211997-01-01Yes200 Lbs6 ft3NoNoNo3Pro & Farm975,000$708,209$0$0$No1,500,000$2,250,000$
Filip GustavssonMoose (Win)G201998-01-01No183 Lbs6 ft2NoNoNo3Pro & Farm950,000$690,050$0$0$No950,000$950,000$
Jake LeschyshynMoose (Win)C191999-01-01Yes192 Lbs5 ft11NoNoNo1Pro & Farm500,000$363,184$0$0$No
Joey DaccordMoose (Win)G221996-01-01No197 Lbs6 ft2NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$
Joey KeaneMoose (Win)D191999-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$Link
Jonatan BerggrenMoose (Win)LW182000-01-01Yes195 Lbs5 ft11NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$Link
Jonathan KovacevicMoose (Win)D211997-01-01Yes208 Lbs6 ft4NoNoNo1Pro & Farm400,000$290,547$0$0$No
Jonny TychonickMoose (Win)D182000-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$Link
Josh MahuraMoose (Win)D201998-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm650,000$472,139$0$0$No650,000$650,000$
Julien GauthierMoose (Win)RW211997-01-01Yes227 Lbs6 ft4NoNoNo2Pro & Farm650,000$472,139$0$0$No650,000$
Juuso ValimakiMoose (Win)D201998-01-01Yes212 Lbs6 ft2NoNoNo1Pro & Farm500,000$363,184$0$0$No
Karel VejmelkaMoose (Win)G221996-01-01No224 Lbs6 ft4NoNoNo1Pro & Farm500,000$363,184$0$0$No
Kieffer BellowsMoose (Win)RW201998-01-01Yes194 Lbs6 ft1NoNoNo3Pro & Farm550,000$399,502$0$0$No550,000$550,000$
Kyle ConnorMoose (Win)LW221996-01-01Yes182 Lbs6 ft1NoNoNo2Pro & Farm950,000$690,050$0$0$No1,750,000$
Ludwig BystromMoose (Win)D241994-01-01Yes169 Lbs6 ft0NoNoNo1Pro & Farm975,000$708,209$0$0$No
Mathieu JosephMoose (Win)RW211997-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm975,000$708,209$0$0$No1,000,000$
Matthew BenningMoose (Win)D241994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm850,000$617,413$0$0$No
Max JonesMoose (Win)LW201998-01-01Yes220 Lbs6 ft1NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$
Michael McLeodMoose (Win)C201998-01-01Yes187 Lbs6 ft2NoNoNo3Pro & Farm975,000$708,209$0$0$No975,000$975,000$
Mirco MuellerMoose (Win)D231995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm975,000$708,209$0$0$No
Mitchell StephensMoose (Win)C211997-01-01Yes193 Lbs5 ft11NoNoNo1Pro & Farm500,000$363,184$0$0$No
Nathan BastianMoose (Win)RW211997-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm500,000$363,184$0$0$No
Nelson NogierMoose (Win)D221996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm650,000$472,139$0$0$No
Nick MerkleyMoose (Win)RW211997-01-01Yes194 Lbs5 ft10NoNoNo3Pro & Farm550,000$399,502$0$0$No650,000$650,000$
Nikolay GoldobinMoose (Win)LW221996-01-01Yes196 Lbs5 ft11NoNoNo3Pro & Farm975,000$708,209$0$0$No975,000$975,000$
Riley DamianiMoose (Win)C182000-01-01Yes170 Lbs5 ft10NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$Link
Tomas JurcoMoose (Win)RW261992-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm775,000$562,935$0$0$No
Urho VaakanainenMoose (Win)D191999-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm500,000$363,184$0$0$No
Vinni LettieriMoose (Win)RW231995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$363,184$0$0$No
William BittenMoose (Win)RW201998-01-01Yes179 Lbs5 ft10NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3820.76194 Lbs6 ft11.74648,026$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorDylan StromeTomas Jurco40122
2Nikolay GoldobinMichael McLeodMathieu Joseph30122
3Anders BjorkChase De LeoJulien Gauthier20122
4Boris KatchoukJake LeschyshynKieffer Bellows10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom40122
2Matthew BenningJuuso Valimaki30122
3Caleb JonesJosh Mahura20122
4Mirco MuellerLudwig Bystrom10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorDylan StromeMathieu Joseph60122
2Nikolay GoldobinMichael McLeodTomas Jurco40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom60122
2Matthew BenningJuuso Valimaki40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dylan StromeKyle Connor60122
2Michael McLeodNikolay Goldobin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom60122
2Matthew BenningJuuso Valimaki40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dylan Strome60122Mirco MuellerLudwig Bystrom60122
2Michael McLeod40122Matthew BenningJuuso Valimaki40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan StromeKyle Connor60122
2Michael McLeodNikolay Goldobin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerLudwig Bystrom60122
2Matthew BenningJuuso Valimaki40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kyle ConnorDylan StromeMathieu JosephMirco MuellerLudwig Bystrom
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kyle ConnorDylan StromeMathieu JosephMirco MuellerLudwig Bystrom
Extra Forwards
Normal PowerPlayPenalty Kill
Dylan Strome, Michael McLeod, Chase De LeoDylan Strome, Michael McLeodDylan Strome
Extra Defensemen
Normal PowerPlayPenalty Kill
Juuso Valimaki, Caleb Jones, Josh MahuraJuuso ValimakiJuuso Valimaki, Caleb Jones
Penalty Shots
Kyle Connor, Mathieu Joseph, Tomas Jurco, Nikolay Goldobin, Dylan Strome
Goalie
#1 : Filip Gustavsson, #2 : Daniel Vladar
Custom OT Lines Forwards
Kyle Connor, Mathieu Joseph, Tomas Jurco, Nikolay Goldobin, Dylan Strome, Michael McLeod, Michael McLeod, Chase De Leo, Anders Bjork, Julien Gauthier, Boris Katchouk
Custom OT Lines Defensemen
Mirco Mueller, Ludwig Bystrom, Matthew Benning, Juuso Valimaki, Caleb Jones


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
1Barracuda211000001011-1110000008531010000026-420.5001018280032302746723222820076829104812433.33%5260.00%023745951.63%23747150.32%19337052.16%453253436197379191
2Bears2010001068-21010000014-31000001054120.5006101600323027461232228200765271461500.00%7185.71%023745951.63%23747150.32%19337052.16%453253436197379191
3Condors321000001612421100000910-11100000072540.66716274300323027411223222820078934377214428.57%16381.25%123745951.63%23747150.32%19337052.16%453253436197379191
4Griffins503002001829-1120000200810-2303000001019-920.2001830480032302741422322282007161505211429517.24%26773.08%023745951.63%23747150.32%19337052.16%453253436197379191
5Heat1000010034-11000010034-10000000000010.50036900323027429232228200729112265120.00%10100.00%023745951.63%23747150.32%19337052.16%453253436197379191
6Marlies21100000660110000003121010000035-220.500691500323027461232228200749231043900.00%5180.00%023745951.63%23747150.32%19337052.16%453253436197379191
7Phantoms1010000048-4000000000001010000048-400.000471100323027437232228200735136204125.00%3166.67%023745951.63%23747150.32%19337052.16%453253436197379191
8Punishers2110000010911010000024-21100000085320.500101727003230274592322282007642516444125.00%9277.78%023745951.63%23747150.32%19337052.16%453253436197379191
9Rocket2100001013112110000007611000001065141.000132336003230274612322282007672518501119.09%10190.00%023745951.63%23747150.32%19337052.16%453253436197379191
10Senators11000000523110000005230000000000021.000581300323027431232228200732116255240.00%3166.67%023745951.63%23747150.32%19337052.16%453253436197379191
Total21790032091100-9115300300464601026000204554-9210.500911552460032302746602322282007659248171503981919.39%851977.65%123745951.63%23747150.32%19337052.16%453253436197379191
_Since Last GM Reset21790032091100-9115300300464601026000204554-9210.500911552460032302746602322282007659248171503981919.39%851977.65%123745951.63%23747150.32%19337052.16%453253436197379191
_Vs Conference1767003107583-89510030043385816000103245-13170.500751282030032302745402322282007530196141398891820.22%691676.81%123745951.63%23747150.32%19337052.16%453253436197379191
_Vs Division1245002105763-66310020032311614000102532-7120.50057981550032302743822322282007385138117284661421.21%571377.19%123745951.63%23747150.32%19337052.16%453253436197379191

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2121L19115524666065924817150300
All Games
GPWLOTWOTL SOWSOLGFGA
2179032091100
Home Games
GPWLOTWOTL SOWSOLGFGA
115303004646
Visitor Games
GPWLOTWOTL SOWSOLGFGA
102600204554
Last 10 Games
WLOTWOTL SOWSOL
160210
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
981919.39%851977.65%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
23222820073230274
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23745951.63%23747150.32%19337052.16%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
453253436197379191


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2023-10-091Barracuda5Moose8BWR1BoxScore
2 - 2023-10-109Moose6Rocket5AWXXBoxScore
6 - 2023-10-1435Griffins5Moose4BLXR1BoxScore
8 - 2023-10-1647Moose2Barracuda6ALBoxScore
10 - 2023-10-1858Condors5Moose7BWR1BoxScore
13 - 2023-10-2169Moose7Condors2AWBoxScore
16 - 2023-10-2487Rocket6Moose7BWR1BoxScore
20 - 2023-10-28109Marlies1Moose3BWBoxScore
25 - 2023-11-02131Senators2Moose5BWBoxScore
26 - 2023-11-03138Moose3Griffins8ALR1BoxScore
29 - 2023-11-06157Condors5Moose2BLBoxScore
31 - 2023-11-08170Moose4Phantoms8ALBoxScore
34 - 2023-11-11184Griffins5Moose4BLXR1BoxScore
37 - 2023-11-14199Moose6Griffins7ALBoxScore
39 - 2023-11-16208Moose5Bears4AWXXBoxScore
40 - 2023-11-17215Punishers4Moose2BLBoxScore
44 - 2023-11-21229Moose8Punishers5AWBoxScore
46 - 2023-11-23242Bears4Moose1BLBoxScore
50 - 2023-11-27261Moose3Marlies5ALBoxScore
52 - 2023-11-29265Heat4Moose3BLXBoxScore
54 - 2023-12-01280Moose1Griffins4ALR1BoxScore
56 - 2023-12-03291Penguins-Moose-
61 - 2023-12-08312Moose-Senators-
62 - 2023-12-09319Admirals-Moose-
66 - 2023-12-13339Marlies-Moose-
67 - 2023-12-14352Moose-Comets-
70 - 2023-12-17366Condors-Moose-
72 - 2023-12-19380Moose-Admirals-
74 - 2023-12-21391Comets-Moose-
80 - 2023-12-27415Moose-Icehogs-
81 - 2023-12-28419Barracuda-Moose-
84 - 2023-12-31435Moose-Bears-
85 - 2024-01-01445Barracuda-Moose-
88 - 2024-01-04465Moose-Phantoms-
91 - 2024-01-07472Phantoms-Moose-
93 - 2024-01-09483Moose-Reign-
95 - 2024-01-11496Rocket-Moose-
99 - 2024-01-15521Sound Tigers-Moose-
101 - 2024-01-17531Moose-Marlies-
104 - 2024-01-20546Little Stars-Moose-
106 - 2024-01-22559Moose-Devils-
109 - 2024-01-25574Crunch-Moose-
111 - 2024-01-27582Moose-Wolfpack-
113 - 2024-01-29593Moose-Condors-
115 - 2024-01-31601Marlies-Moose-
117 - 2024-02-02616Moose-Heat-
119 - 2024-02-04627Moose-Admirals-
121 - 2024-02-06632Wolfpack-Moose-
123 - 2024-02-08651Moose-Americans-
125 - 2024-02-10658Americans-Moose-
127 - 2024-02-12672Moose-Condors-
128 - 2024-02-13682Icehogs-Moose-
131 - 2024-02-16690Moose-Thunderbirds-
133 - 2024-02-18705Moose-Crunch-
135 - 2024-02-20714Rocket-Moose-
138 - 2024-02-23731Moose-Sound Tigers-
139 - 2024-02-24739Moose-Barracuda-
140 - 2024-02-25744Griffins-Moose-
143 - 2024-02-28765Rampage-Moose-
145 - 2024-03-01774Moose-Rocket-
146 - 2024-03-02784Moose-Penguins-
148 - 2024-03-04796Wolves-Moose-
150 - 2024-03-06807Moose-Eagles-
154 - 2024-03-10822Eagles-Moose-
158 - 2024-03-14842Senators-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
159 - 2024-03-15849Moose-Icehogs-
164 - 2024-03-20869Moose-Little Stars-
165 - 2024-03-21873Wolfpack-Moose-
169 - 2024-03-25894Devils-Moose-
170 - 2024-03-26902Moose-Rampage-
173 - 2024-03-29918Moose-Heat-
175 - 2024-03-31925Thunderbirds-Moose-
179 - 2024-04-04947Reign-Moose-
181 - 2024-04-06962Moose-Barracuda-
183 - 2024-04-08972Americans-Moose-
185 - 2024-04-10985Moose-Wolves-
188 - 2024-04-13997Eagles-Moose-
189 - 2024-04-141002Moose-Wolves-
197 - 2024-04-221027Reign-Moose-
198 - 2024-04-231030Moose-Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance20,28610,370
Attendance PCT92.21%94.27%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
29 2787 - 92.90% 175,142$1,926,561$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
930,215$ 3,340,000$ 3,300,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,617$ 661,681$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,079,115$ 146 21,343$ 3,116,078$




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