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Moose
GP: 92 | W: 31 | L: 49 | OTL: 12 | P: 74
GF: 212 | GA: 294 | PP%: 29.46% | PK%: 72.83%
GM : Quentin Robb | Morale : 20 | Team Overall : 57
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Game Center
Moose
31-49-12, 74pts
2
FINAL
0 Reign
37-43-12, 86pts
Team Stats
W2StreakW1
16-21-9Home Record19-19-8
15-28-3Home Record18-24-4
5-4-1Last 10 Games4-6-0
2.30Goals Per Game2.33
3.20Goals Against Per Game3.05
29.46%Power Play Percentage27.14%
72.83%Penalty Kill Percentage67.78%
Moose
31-49-12, 74pts
5
FINAL
2 Penguins
30-44-18, 78pts
Team Stats
W2StreakL2
16-21-9Home Record17-20-9
15-28-3Home Record13-24-9
5-4-1Last 10 Games3-3-4
2.30Goals Per Game2.36
3.20Goals Against Per Game3.34
29.46%Power Play Percentage33.99%
72.83%Penalty Kill Percentage67.34%
Team Leaders
Joseph BlandisiGoals
Joseph Blandisi
46
Assists
Tanner Fritz
48
Joseph BlandisiPoints
Joseph Blandisi
79
Plus/Minus
Chase Wouters
9
Wins
Alex Stalock
23
Save Percentage
Alex Stalock
0.853

Team Stats
Goals For
212
2.30 GFG
Shots For
1604
17.43 Avg
Power Play Percentage
29.5%
66 GF
Offensive Zone Start
34.9%
Goals Against
294
3.20 GAA
Shots Against
1886
20.50 Avg
Penalty Kill Percentage
72.8%%
72 GA
Defensive Zone Start
38.2%
Team Info

General ManagerQuentin Robb
CoachBob Essensa
DivisionDivision 4
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,153
Season Tickets1,500


Roster Info

Pro Team27
Farm Team22
Contract Limit49 / 100
Prospects135


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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
1Adam KlapkaXX100.0087966070997781648061636760474763786502431,238,000$
2Joseph BlandisiXX100.0065675860677881678064705662474761586203022,190,000$
3Zack MacEwenXX100.008499487081456662605458602566675878600281979,000$
4Mike SgarbossaX100.0073688567686161638068566153474659396003231,500,000$
5Ross JohnstonX100.0085995368925161654456596025636358336003122,160,000$
6Cole SchneiderXX100.0076739063737478567348596358464661255903431,300,000$
7Taylor WardX100.007676776076808653505448584847475536580272972,000$
8Chase WoutersXX100.0071708062727783526848525950474755475702531,064,000$
9Tanner FritzXX100.0074699165695961576762505844474752615703321,070,000$
10Brett SutterXX100.0075738164716974516442585754474755295603722,160,000$
11Nick JonesXX100.0070677365677075536651525548474753565602821,050,000$
12Wyatt BongiovanniX100.0072718262716467547046595858474758445602521,063,333$
13Gabriel BourqueXX100.0075729165726670485049455844474752445503422,157,000$
14Dillon Heatherington (R)X100.0082818365817178462536416239484850416002922,126,000$
15Chase PriskieX100.0074708265707479552551466043474754496002922,157,000$
16Gustav OlofssonX100.0079758872755457482539426037474749475703031,200,000$
17Kyle MarinoXX100.0075825465826673434530405637474747355602911,014,000$
18Nikolas BrouillardX100.0054585065587986512547404839474749375503021,041,000$
19Luka Profaca (R)X100.0073698566705457422530385737464648265402321,043,000$
Scratches
1Kevin ConleyXX100.0073707963706164506347486046444454205402821,026,000$
2Jacob DotyXX100.007782646682616547594148614644445420540311750,000$
3Dalton SmithX100.006976516576586247504444574244445120520321750,000$
4Josh HealeyX100.0067745065745053422529395537444447205203021,007,000$
5Travis HoweXXXX100.0066754465755255424529395537444447195203121,007,000$
TEAM AVERAGE100.00747671657565705253475058454848544057
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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
1Thomas Milic (R)100.00604759656565566366663045456068590221750,000$
2Alex Stalock100.00474860734646495447483047464646510371991,000$
Scratches
1Collin Delia100.004649618043454851454730444447315003031,200,000$
TEAM AVERAGE100.0051486073515251565354304545514853
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Essensa40404040404040TUR803800,000$


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.
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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.
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")
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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 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
1Joseph BlandisiMoose (WPG)C/LW92463379-3296301521622356612619.57%35201221.871310233511622471435156.41%6014230030.7949114934
2Tanner FritzMoose (WPG)C/RW92264874-385755861581474110117.69%31171318.63102737331630111384252.76%13212726000.8639434745
3Adam KlapkaMoose (WPG)C/RW69153247-153031651101301495110210.07%21144620.961781398224101310358.58%6063120000.650010716412
4Kyle OkposoJetsRW77232346-53010117821404810416.43%17143718.6726815131000003053.85%653716000.64511110152
5Zack MacEwenMoose (WPG)C/RW92162440-263151551761011564411010.26%27169818.466814281041012502150.85%1184732000.470012514112
6Ross JohnstonMoose (WPG)LW55191938-22147858360129467314.73%1891416.63781526582027771247.90%1672917020.8300539251
7Kurtis MacDermidJetsLW/D47151934-21185125797681202718.52%46107822.94871522751123842114.29%72727000.630110411020
8Nick JonesMoose (WPG)C/RW92151833-2610450129134112335713.39%21186220.255381114010111852146.73%1072725000.3512415311
9Erik JohnsonJetsD7762228-24321010420311852585.08%130200826.0841014311830001150010%02264100.2800011211
10Chase PriskieMoose (WPG)D9242428-2812490881758434554.76%88227124.69358161840111161100%03148000.25004410104
11Brett SutterMoose (WPG)C/LW82101626-32564011411484254311.90%26153818.7723566810161361051.57%2872817000.3402035122
12Mike SgarbossaMoose (WPG)C92151126-151210738599255215.15%11122113.276391065000002057.50%40187000.4300002133
13Gustav OlofssonMoose (WPG)D9271522-2686709914660263011.67%71206122.4131451260222179100%02137000.2100347032
14Justin DanforthJetsC/RW2421517-117536526019443.33%1253022.110447360111510049.51%206119000.6400001010
15Dillon HeatheringtonMoose (WPG)D9221315-32111951111556032413.33%95225024.4613491300112221000%01756100.1300577000
16Chase WoutersMoose (WPG)C/LW928412920555323121134.78%68319.04000071232503064.29%14610000.2900000130
17Kyle MarinoMoose (WPG)C/D923811-36162901361265728155.26%56193221.001781718600011350050.00%16725000.1124369001
18Marc-edouard VlasicJetsD274610-921521574411209.09%2963723.613031270000048100%0819000.3100001001
19Taylor WardMoose (WPG)RW92088-2826101111022511160%16134514.62000018000000043.53%2321114000.1200011000
20Gabriel BourqueMoose (WPG)LW/RW92145200342114257.14%23804.1400001000000133.33%333000.2600000011
21Nikolas BrouillardMoose (WPG)D92123-20420485675514.29%22138515.060000400008000%0611000.0400000001
22Wyatt BongiovanniMoose (WPG)C92022155271214270%13123.4000002000020056.25%6424000.1300001000
23Cole SchneiderMoose (WPG)C/LW71101-15512862416.67%01652.3200000000081020.00%510000.1200001010
24Luka ProfacaMoose (WPG)D420001001072000%13558.4600004000111000%00400000000000
25Kevin ConleyMoose (WPG)C/LW21000000200000%0100.510000000000000%00000000000000
26Travis HoweMoose (WPG)C/LW/RW/D3000000010000%0237.960000000000000%00000000000000
Team Total or Average1883239366605-43419281110201322761906635110612.54%7823142616.69751121872961982111324581780291353.02%3859459521250.3915386251109333733
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
1Alex StalockMoose (WPG)772341100.8533.134271042231513937240.773227613520
2Ukko-Pekka LuukkonenJets2415440.8802.4514180258483239000.38513240201
3Thomas MilicMoose (WPG)188510.8432.609460341261133010.75041425101
4Collin DeliaMoose (WPG)90200.8033.98226001576461100054000
5Peyton JonesJets20110.8282.521190052916010020000
Team Total or Average1304653160.8552.9469830934223621371373911692822


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 Country 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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 KlapkaMoose (WPG)C/RW242000-09-14CZENo244 Lbs6 ft8NoNoN/ANoNo3FalseFalsePro & Farm1,238,000$0$0$No1,238,000$1,238,000$-------1,238,000$1,238,000$-------NoNo-------Link
Alex StalockMoose (WPG)G371987-07-28USANo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm991,000$0$0$No---------------------------Link
Brett SutterMoose (WPG)C/LW371987-06-02ABNo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,160,000$0$0$No2,160,000$--------2,160,000$--------No--------Link / NHL Link
Chase PriskieMoose (WPG)D291996-03-18USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,157,000$0$0$No2,157,000$--------2,157,000$--------No--------Link
Chase WoutersMoose (WPG)C/LW252000-02-08SKWNo194 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,064,000$0$0$No1,064,000$1,064,000$-------1,064,000$1,064,000$-------NoNo-------Link
Cole SchneiderMoose (WPG)C/LW341990-08-26USANo198 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Link / NHL Link
Collin DeliaMoose (WPG)G301994-06-19USANo208 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link / NHL Link
Dalton SmithMoose (WPG)LW321992-06-30ONTNo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Dillon HeatheringtonMoose (WPG)D291995-05-09ABYes215 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm2,126,000$0$0$No2,126,000$--------2,126,000$--------No--------Link
Gabriel BourqueMoose (WPG)LW/RW341990-09-23QUENo206 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm2,157,000$0$0$No2,157,000$--------2,157,000$--------No--------Link
Gustav OlofssonMoose (WPG)D301994-12-01SWENo200 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Jacob DotyMoose (WPG)C/RW311993-06-19USANo220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Joseph BlandisiMoose (WPG)C/LW301994-07-18ONTNo184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,190,000$0$0$No2,190,000$--------2,190,000$--------No--------Link / NHL Link
Josh HealeyMoose (WPG)D301994-07-12ABNo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Link / NHL Link
Kevin ConleyMoose (WPG)C/LW281997-02-17USANo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,026,000$0$0$No1,026,000$--------1,026,000$--------No--------Link
Kyle MarinoMoose (WPG)C/D291995-06-01ONTNo220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,014,000$0$0$No---------------------------Link
Luka ProfacaMoose (WPG)D232002-03-30ONTYes181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,043,000$0$0$No1,043,000$--------1,043,000$--------No--------Link
Mike SgarbossaMoose (WPG)C321992-07-25ONTNo185 Lbs6 ft0NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link
Nick JonesMoose (WPG)C/RW281996-06-02ABNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------Link
Nikolas BrouillardMoose (WPG)D301995-02-07QUENo158 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,041,000$0$0$No1,041,000$--------1,041,000$--------No--------Link
Ross JohnstonMoose (WPG)LW311994-02-18PEINo235 Lbs6 ft5NoNoN/ANoYes2FalseFalsePro & Farm2,160,000$0$0$No2,160,000$--------2,160,000$--------No--------Link / NHL Link
Tanner FritzMoose (WPG)C/RW331991-08-20ABNo192 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,070,000$0$0$No1,070,000$--------1,070,000$--------No--------Link
Taylor WardMoose (WPG)RW271998-03-31BCNo207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm972,000$0$0$No972,000$--------972,000$--------No--------Link
Thomas MilicMoose (WPG)G222003-04-13BCYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Travis HoweMoose (WPG)C/LW/RW/D311994-02-10USANo198 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Link
Wyatt BongiovanniMoose (WPG)C251999-07-24USANo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,063,333$0$0$No1,063,333$--------1,063,333$--------No--------Link
Zack MacEwenMoose (WPG)C/RW281996-07-08NBNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm979,000$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2729.59200 Lbs6 ft12.001,295,012$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike SgarbossaTanner FritzZack MacEwen40122
2Joseph BlandisiAdam KlapkaNick Jones30122
3Adam KlapkaJoseph BlandisiZack MacEwen20122
4Zack MacEwenTaylor WardJoseph Blandisi10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav OlofssonChase Priskie40122
2Kyle MarinoDillon Heatherington30122
3Dillon HeatheringtonGustav Olofsson20122
4Nikolas BrouillardChase Priskie10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joseph BlandisiTanner FritzZack MacEwen60122
2Mike SgarbossaAdam KlapkaNick Jones40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chase PriskieKyle Marino60122
2Gustav OlofssonDillon Heatherington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joseph BlandisiAdam Klapka60122
2Tanner FritzNick Jones40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dillon HeatheringtonKyle Marino60122
2Chase PriskieGustav Olofsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Adam Klapka60122Dillon HeatheringtonGustav Olofsson60122
2Nick Jones40122Nikolas BrouillardChase Priskie40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam KlapkaTanner Fritz60122
2Joseph BlandisiNick Jones40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav OlofssonChase Priskie60122
2Dillon HeatheringtonKyle Marino40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mike SgarbossaAdam KlapkaJoseph BlandisiDillon HeatheringtonChase Priskie
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mike SgarbossaAdam KlapkaJoseph BlandisiDillon HeatheringtonChase Priskie
Extra Forwards
Normal PowerPlayPenalty Kill
Joseph Blandisi, Adam Klapka, Nick JonesAdam Klapka, Nick JonesAdam Klapka
Extra Defensemen
Normal PowerPlayPenalty Kill
Dillon Heatherington, Chase Priskie, Nikolas BrouillardDillon HeatheringtonChase Priskie, Dillon Heatherington
Penalty Shots
Tanner Fritz, Joseph Blandisi, Kyle Marino, Nick Jones, Adam Klapka
Goalie
#1 : Thomas Milic, #2 : Alex Stalock


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
1Admirals623001002019131100100871312000001212050.4172033530057549114121412489676531074215213318527.78%16381.25%1691130452.99%744142952.06%576100557.31%15585531714103623021136
2Americans606000001426-1230300000712-530300000714-700.0001422362057549114136412489676531926313511715746.67%20765.00%1691130452.99%744142952.06%576100557.31%15585531714103623021136
3Barracuda11000000211000000000001100000021121.000235005754911415412489676537628193133.33%4175.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
4Bears40300100920-1120100100713-62020000027-510.1259132210575491148741248967653953681748225.00%18477.78%0691130452.99%744142952.06%576100557.31%15585531714103623021136
5Bruins20200000511-61010000049-51010000012-100.000551000575491144041248967653572316334250.00%8450.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
6Canucks1000010034-11000010034-10000000000010.5003470057549114841248967653206151611100.00%000%0691130452.99%744142952.06%576100557.31%15585531714103623021136
7Checkers622001101314-13110001054131100100810-270.5831317300157549114110412489676531234510313918422.22%18383.33%0691130452.99%744142952.06%576100557.31%15585531714103623021136
8Comets1000000112-1000000000001000000112-110.500123005754911494124896765370621200.00%30100.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
9Condors1010000023-1000000000001010000023-100.000246005754911417412489676531442423300.00%20100.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
10Crunch21001000532210010005320000000000041.000581301575491143941248967653281219346116.67%2150.00%1691130452.99%744142952.06%576100557.31%15585531714103623021136
11Eagles614000011016-63020000127-53120000089-130.2501016260057549114102412489676531245813612016425.00%13469.23%0691130452.99%744142952.06%576100557.31%15585531714103623021136
12Griffins40300010613-72010001047-32020000026-420.250681410575491146741248967653752510987900.00%13469.23%1691130452.99%744142952.06%576100557.31%15585531714103623021136
13Gulls11000000413110000004130000000000021.0004590057549114154124896765317541167228.57%30100.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
14Heat613010101921-230201000812-431100010119260.5001927460057549114104412489676531022914012313646.15%15660.00%2691130452.99%744142952.06%576100557.31%15585531714103623021136
15IceHogs10001000321100010003210000000000021.00035800575491142541248967653144231911100.00%4175.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
16Islanders40201010811-32020000038-52000101053240.500810180057549114684124896765314038818610440.00%13284.62%0691130452.99%744142952.06%576100557.31%15585531714103623021136
17Marlies412001001015-5210001008622020000029-730.375101424005754911464412489676531092576608337.50%13469.23%3691130452.99%744142952.06%576100557.31%15585531714103623021136
18Monsters11000000422000000000001100000042221.000459005754911417412489676539119183133.33%20100.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
19Penguins623001001721-4311001001011-131200000710-350.41717244100575491149541248967653103258811516425.00%9366.67%1691130452.99%744142952.06%576100557.31%15585531714103623021136
20Phantoms42200000811-32110000023-12110000068-240.500813211157549114734124896765375221427910220.00%11372.73%0691130452.99%744142952.06%576100557.31%15585531714103623021136
21Reign4210010056-1210001003302110000023-150.62557120257549114264124896765325713683133.33%4175.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
22Roadrunners40200200510-52010010035-22010010025-320.25058131057549114514124896765355843678225.00%9544.44%1691130452.99%744142952.06%576100557.31%15585531714103623021136
23Rocket11000000101110000001010000000000021.000112015754911423412489676531861414100.00%20100.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
24Senators21100000440000000000002110000044020.50047110057549114254124896765326816323133.33%8187.50%0691130452.99%744142952.06%576100557.31%15585531714103623021136
25Silver Knights1000000112-11000000112-10000000000010.500123005754911418412489676531441417200.00%20100.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
26Stars613000201314-13020001047-33110001097260.5001320331157549114944124896765386246311716743.75%9455.56%0691130452.99%744142952.06%576100557.31%15585531714103623021136
27Thunderbirds41300000920-112110000077020200000213-1120.2509162500575491147941248967653133331256415213.33%20575.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
28Wild1010000025-3000000000001010000025-300.0002350057549114194124896765334152320100.00%9188.89%0691130452.99%744142952.06%576100557.31%15585531714103623021136
29Wolf Pack1010000068-21010000068-20000000000000.0006915005754911428412489676534011652611100.00%10370.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
30Wolves1010000039-6000000000001010000039-600.00034700575491142941248967653372135143266.67%5260.00%0691130452.99%744142952.06%576100557.31%15585531714103623021136
Total92214904963212294-8246102103732108141-3346112801231104153-49740.40221231552777575491141604412489676531886606184517712246629.46%2657272.83%11691130452.99%744142952.06%576100557.31%15585531714103623021136
_Since Last GM Reset92214904963212294-8246102103732108141-3346112801231104153-49740.40221231552777575491141604412489676531886606184517712246629.46%2657272.83%11691130452.99%744142952.06%576100557.31%15585531714103623021136
_Vs Conference74154202861166237-71377190163181112-31378230123085125-40550.37216624841475575491141277412489676531544480148714491835328.96%2015871.14%10691130452.99%744142952.06%576100557.31%15585531714103623021136
_Vs Division22924013415684-2810312012212843-1512612001202841-13320.7275680136215754911440641248967653506154517433531630.19%711776.06%1691130452.99%744142952.06%576100557.31%15585531714103623021136

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
9274W2212315527160418866061845177177
All Games
GPWLOTWOTL SOWSOLGFGA
9221494963212294
Home Games
GPWLOTWOTL SOWSOLGFGA
4610213732108141
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4611281231104153
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2246629.46%2657272.83%11
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4124896765357549114
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
691130452.99%744142952.06%576100557.31%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
15585531714103623021136


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
215Americans5Moose3LBoxScore
335Admirals2Moose1LBoxScore
445Moose3Americans5LBoxScore
660Moose3Admirals6LBoxScore
776Eagles2Moose1LBoxScore
895Penguins5Moose7WBoxScore
9110Moose1Penguins6LBoxScore
11126Checkers1Moose2WXXBoxScore
12141Moose2Heat1WXXBoxScore
13156Moose3Checkers5LBoxScore
14168Heat5Moose2LBoxScore
16189Stars3Moose1LBoxScore
17210Checkers3Moose1LBoxScore
18215Moose3Stars0WBoxScore
19232Moose4Heat7LBoxScore
20240Moose1Eagles2LBoxScore
21259Marlies3Moose2LXBoxScore
22280Griffins2Moose3WXXBoxScore
24290Moose1Roadrunners3LBoxScore
25313Admirals4Moose3LXBoxScore
26318Moose1Senators3LBoxScore
28345Griffins5Moose1LBoxScore
30370Moose5Heat1WBoxScore
31380Silver Knights2Moose1LXXBoxScore
32398Moose2Phantoms6LBoxScore
34410Wolf Pack8Moose6LBoxScore
35433Moose3Senators1WBoxScore
36441Thunderbirds2Moose4WBoxScore
38466Canucks4Moose3LXBoxScore
39476Moose1Marlies4LBoxScore
41494Moose2Bears5LBoxScore
42501Islanders3Moose2LBoxScore
43516Moose2Wild5LBoxScore
44534Crunch3Moose4WXBoxScore
45548Moose3Checkers2WBoxScore
46564Thunderbirds5Moose3LBoxScore
47582Moose1Roadrunners2LXBoxScore
48594Checkers0Moose2WBoxScore
49613Admirals1Moose4WBoxScore
50628Moose2Checkers3LXBoxScore
51639Moose1Eagles4LBoxScore
53655Marlies3Moose6WBoxScore
54666Moose6Admirals2WBoxScore
55688Americans4Moose2LBoxScore
56709Islanders5Moose1LBoxScore
57716Moose1Marlies5LBoxScore
58730Moose1Thunderbirds8LBoxScore
60749Heat2Moose0LBoxScore
61763Moose4Stars3WXXBoxScore
63779Penguins4Moose2LBoxScore
64795Moose2Griffins4LBoxScore
65809Bears5Moose4LXBoxScore
66819Moose2Americans4LBoxScore
67840Rocket0Moose1WBoxScore
69856Moose2Stars4LBoxScore
70870Heat5Moose6WXBoxScore
71887Moose1Thunderbirds5LBoxScore
72899Americans3Moose2LBoxScore
74915Moose6Eagles3WBoxScore
75928Moose1Comets2LXXBoxScore
76942Moose2Americans5LBoxScore
77953Reign3Moose2LXBoxScore
79973Moose2Barracuda1WBoxScore
80984Bears8Moose3LBoxScore
811000Moose0Griffins2LBoxScore
821015Reign0Moose1WBoxScore
831036Moose1Bruins2LBoxScore
841045Bruins9Moose4LBoxScore
851065Eagles2Moose1LXXBoxScore
871088Roadrunners1Moose0LBoxScore
881096Moose3Islanders2WXXBoxScore
891116Moose2Islanders1WXBoxScore
901130IceHogs2Moose3WXBoxScore
921148Moose3Wolves9LBoxScore
931161Stars2Moose3WXXBoxScore
941181Eagles3Moose0LBoxScore
951189Moose3Admirals4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
971208Moose2Condors3LBoxScore
981221Phantoms0Moose1WBoxScore
1001247Penguins2Moose1LXBoxScore
1011262Moose0Reign3LBoxScore
1021273Moose4Phantoms2WBoxScore
1031287Stars2Moose0LBoxScore
1041300Moose4Monsters2WBoxScore
1051308Moose0Bears2LBoxScore
1061324Roadrunners4Moose3LXBoxScore
1081348Crunch0Moose1WBoxScore
1111373Gulls1Moose4WBoxScore
1121384Moose1Penguins2LBoxScore
1151402Phantoms3Moose1LBoxScore
1161410Moose2Reign0WBoxScore
1171426Moose5Penguins2WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance64,02435,002
Attendance PCT69.59%76.09%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2153 - 71.76% 89,590$4,121,144$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
4,234,470$ 3,496,533$ 3,496,533$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
29,632$ 3,434,451$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 36,411$ 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