Your STHS is out of Date! Please update your STHS version!
Login

Little Stars
GP: 80 | W: 44 | L: 29 | OTL: 7 | P: 95
GF: 339 | GA: 314 | PP%: 22.70% | PK%: 79.31%
GM : Francois Cloutier | Morale : 46 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Little Stars
44-29-7, 95pts
4
FINAL
8 Eagles
43-31-6, 92pts
Team Stats
L4StreakSOW1
24-13-3Home Record22-13-5
20-16-4Home Record21-18-1
5-5-0Last 10 Games6-3-1
4.24Goals Per Game3.99
3.93Goals Against Per Game3.89
22.70%Power Play Percentage19.24%
79.31%Penalty Kill Percentage76.77%
Islander
44-32-4, 92pts
6
FINAL
2 Little Stars
44-29-7, 95pts
Team Stats
W1StreakL4
21-15-4Home Record24-13-3
23-17-0Home Record20-16-4
5-3-2Last 10 Games5-5-0
4.51Goals Per Game4.24
4.33Goals Against Per Game3.93
28.16%Power Play Percentage22.70%
78.90%Penalty Kill Percentage79.31%
Team Leaders
Goals
Daniel O'regan
47
Assists
Daniel O'regan
80
Points
Daniel O'regan
127
Plus/Minus
Reece Willcox
19
Wins
Michael Houser
33
Save Percentage
Michael Houser
0.896

Team Stats
Goals For
339
4.24 GFG
Shots For
2699
33.74 Avg
Power Play Percentage
22.7%
69 GF
Offensive Zone Start
37.7%
Goals Against
314
3.93 GAA
Shots Against
2744
34.30 Avg
Penalty Kill Percentage
79.3%%
60 GA
Defensive Zone Start
35.8%
Team Info

General ManagerFrancois Cloutier
CoachMike Yeo
DivisionGunther-Sabetzki
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,788
Season Tickets300


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 250
Prospects0


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 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
1Ilya Mikheyev (R)X100.0076498273737778757876726674655839487302411,250,000$
2Jason Dickinson (R)X100.007233786970707573767274597749474941690231500,000$
3Joakim NygardX100.006240827577666580757066618553564066690251950,000$
4Shane Gersich (R)X100.006540827160707679798171455644445066680222800,000$
5Emile Poirier (R)X100.005833837178686964656882547348483566670242650,000$
6Matt Luff (R)X100.006535777176656562677184527047475366670214750,000$
7Justin Auger (R)X100.006029786169736962657577487048493666650242600,000$
8Radel Fazleev (R)X100.005337767058716867767771475344443866640221550,000$
9Filip Chytil (R)X100.006144766469656169616663506341417054620191500,000$
10Jonathan Dahlen (R)X100.005625687250545174666369576844434710620213550,000$
11Cal Burke (R)X100.006350796955685359597263446545485966610212500,000$
12Jean-Christophe Beaudin (R)X100.005326655951566268637161435443435319580212250,000$
13Wiley Sherman (R)X100.006936877770837973687670756967485267730234975,000$
14Collin MillerX100.007128767068736976556869775971543341700261500,000$
15Reece Willcox (R)X100.007030767773707869537362756363513866700241850,000$
16Tucker PoolmanX100.007133747673696668647357686258543638680251600,000$
17Samuel Girard (R)X100.006127787667677079458561695049446157680204800,000$
18Ville Pokka (R)X100.006938767365686669476964695850503846670242600,000$
Scratches
1Daniel O'regan (R)X34.157128797073787973768373606366533657710241950,000$
2Joey Anderson (R)X100.006143696765566358645865605842426119600204525,000$
3Givani Smith (R)X100.007048606269528062536561545142425919600204525,000$
4Rudolfs Balcers (R)X100.006038706053665756635970516343434823590212250,000$
5Yakov Trenin (R)X100.006536666166625466575957426043434116570213250,000$
6Jack McBain (R)X100.006838545865547161566555474840408120560182500,000$
7Blade Jenkins (R)X100.005736645754565856535262535440406620550182500,000$
8Bulat Shafigullin (R)X100.005129695654545860515063375542416220530192500,000$
9Connor Mackey (R)X100.006546786668676968465960696247494451650221500,000$
10Lawrence Pilut (R)X100.006638705863606868457059605748454419620232550,000$
TEAM AVERAGE97.65643674676566676862696657624947494364
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Michael Houser99.00708156746873708283666459564464720262995,000$
2Danil Tarasov100.00715068797554506169518142427657620191500,000$
Scratches
1Michael Giugovaz100.00536355585951675250566645454020560231250,000$
TEAM AVERAGE99.6765656070675962656758704948534763
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo61646867353766CAN421750,000$


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 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
1Daniel O'reganLittle Stars (Dal)C784780127-94601421732599716218.15%51177922.811624404225722452225152.56%26524619211.4313000946
2Ilya MikheyevLittle Stars (Dal)RW72326799-15300133922807816011.43%40142119.7472734282341012114249.34%1524827011.3904000547
3Joakim NygardLittle Stars (Dal)LW80375087-32201061002659717713.96%37150718.85109194021113471586343.04%796333021.1511000654
4Jason DickinsonLittle Stars (Dal)C683546811330011899194559618.04%27117517.28611171716621341103150.97%9262119011.3811000762
5Adam TambelliniStarsLW53374178328094762068510917.96%30123023.211310233118624661556453.13%965114201.2724000553
6Shane GersichLittle Stars (Dal)LW80342963510093802307612014.78%19112614.0834715731012695056.58%76447031.1200000454
7Reece WillcoxLittle Stars (Dal)D80643491960011914312349664.88%137200825.114812202521344210100%04458000.4900000111
8Matt LuffLittle Stars (Dal)RW80143549248011171118385911.86%28128016.01371014202000023140.00%752824000.7700000131
9Wiley ShermanLittle Stars (Dal)D678404811809813312865556.25%114188528.1411112152480333211110%06662100.5100000126
10Emile PoirierLittle Stars (Dal)LW80222244131205050157438814.01%1782610.330000140002871050.00%18409001.0601000232
11Radel FazleevLittle Stars (Dal)C8015193412405972142409710.56%1795911.990001331011193153.47%5481913000.7100000113
12Samuel GirardLittle Stars (Dal)D7762329-1332045889735406.19%63129716.8615641330000119100%02426000.4501000002
13Justin AugerLittle Stars (Dal)RW8014112510200774577374918.18%1993211.65101230000033150.00%181612000.5401000001
14Filip ChytilLittle Stars (Dal)C65913229200313880235011.25%95949.15000050001590246.70%18287000.7400000020
15Cal BurkeLittle Stars (Dal)RW8011920480482275253714.67%56257.8200000000001145.45%11118000.6400000101
16Tucker PoolmanLittle Stars (Dal)D68016168580891147126240%86138020.3101151570002132000%01837000.2300000000
17Collin MillerLittle Stars (Dal)D274913-1632053585127187.84%5673927.374261186011375000%01623000.3500000000
18Connor MackeyLittle Stars (Dal)D68010101214041593924120%4586412.7200007000040000%0334000.2300000000
19Ville PokkaLittle Stars (Dal)D53077-82205463351890%5992117.39000173000192000%01035000.1500000000
20Anton CederholmStarsD91452801519191095.26%1224927.75011338101231000%058000.4000000000
21Jean-Christophe BeaudinLittle Stars (Dal)C2632541002111192915.79%32148.2600001000060044.87%7801000.4700000000
22Lawrence PilutLittle Stars (Dal)D31134680152814667.14%1436111.670000300009000%007000.2200000000
23Jonathan DahlenLittle Stars (Dal)LW18303-26079425237.14%41277.080000000000000%173000.4700000001
24Rudolfs BalcersLittle Stars (Dal)LW131125006172114.29%0836.39000000000200100.00%101000.4800000000
25Yakov TreninLittle Stars (Dal)C7000020610020%2324.6100000000000046.67%150000000000000
26Joey AndersonLittle Stars (Dal)RW10000420066420%1787.8500000000010050.00%21200000000000
27Givani SmithLittle Stars (Dal)RW2000000000000%000.140000000000000%00000000000000
Team Total or Average1452340580920655600163116512734967148012.44%8952370516.33691201892492420121729451833431851.60%4930589489580.78516000434144
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
1Michael HouserLittle Stars (Dal)64331950.8963.6135284021220301054410.500126015211
2Danil TarasovLittle Stars (Dal)26101020.8644.5112500094693381110.33332060100
3Michael GiugovazLittle Stars (Dal)11000.8423.60500031912100005000
Team Total or Average91442970.8873.844829403092742144762158080311


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
Blade JenkinsLittle Stars (Dal)LW182000-01-01Yes200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Bulat ShafigullinLittle Stars (Dal)LW191999-01-01Yes182 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Cal BurkeLittle Stars (Dal)RW211997-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Collin MillerLittle Stars (Dal)D261992-01-01No175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Connor MackeyLittle Stars (Dal)D221996-01-01Yes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Daniel O'regan (Out of Payroll)Little Stars (Dal)C241994-01-01Yes169 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$Yes------------------
Danil TarasovLittle Stars (Dal)G191999-01-01No196 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Emile PoirierLittle Stars (Dal)LW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm650,000$3,234$0$0$No750,000$--------No--------
Filip ChytilLittle Stars (Dal)C191999-01-01Yes210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Givani SmithLittle Stars (Dal)RW201998-01-01Yes205 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm525,000$2,612$0$0$No550,000$600,000$625,000$------NoNoNo------
Ilya MikheyevLittle Stars (Dal)RW241994-01-01Yes195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$6,219$0$0$No------------------
Jack McBainLittle Stars (Dal)C182000-01-01Yes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Jason DickinsonLittle Stars (Dal)C231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jean-Christophe BeaudinLittle Stars (Dal)C211997-01-01Yes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm250,000$1,244$0$0$No250,000$--------No--------
Joakim NygardLittle Stars (Dal)LW251993-01-01No179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
Joey AndersonLittle Stars (Dal)RW201998-01-01Yes190 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm525,000$2,612$0$0$No550,000$600,000$625,000$------NoNoNo------
Jonathan DahlenLittle Stars (Dal)LW211997-01-01Yes181 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm550,000$2,736$0$0$No575,000$650,000$-------NoNo-------
Justin AugerLittle Stars (Dal)RW241994-01-01Yes185 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No700,000$--------No--------
Lawrence PilutLittle Stars (Dal)D231995-01-01Yes194 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm550,000$2,736$0$0$No550,000$--------No--------
Matt LuffLittle Stars (Dal)RW211997-01-01Yes190 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm750,000$3,731$0$0$No900,000$995,000$1,250,000$------NoNoNo------
Michael GiugovazLittle Stars (Dal)G231995-01-01No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm250,000$1,244$0$0$No------------------
Michael HouserLittle Stars (Dal)G261992-01-01No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm995,000$4,950$0$0$No2,000,000$--------No--------
Radel FazleevLittle Stars (Dal)C221996-01-01Yes192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm550,000$2,736$0$0$No------------------
Reece WillcoxLittle Stars (Dal)D241994-01-01Yes184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$4,229$0$0$No------------------
Rudolfs BalcersLittle Stars (Dal)LW211997-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm250,000$1,244$0$0$No300,000$--------No--------
Samuel GirardLittle Stars (Dal)D201998-01-01Yes170 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm800,000$3,980$0$0$No900,000$1,200,000$1,800,000$------NoNoNo------
Shane GersichLittle Stars (Dal)LW221996-01-01Yes175 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Tucker PoolmanLittle Stars (Dal)D251993-01-01No185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$2,985$0$0$No------------------
Ville PokkaLittle Stars (Dal)D241994-01-01Yes205 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No650,000$--------No--------
Wiley ShermanLittle Stars (Dal)D231995-01-01Yes185 Lbs6 ft6NoNoN/ANoNo4FalseFalsePro & Farm975,000$4,851$0$0$No1,500,000$2,000,000$2,500,000$------NoNoNo------
Yakov TreninLittle Stars (Dal)C211997-01-01Yes201 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm250,000$1,244$0$0$No250,000$250,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3122.03188 Lbs6 ft12.00611,935$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joakim NygardJason DickinsonIlya Mikheyev40122
2Shane GersichRadel FazleevMatt Luff30122
3Emile PoirierFilip ChytilJustin Auger20122
4Jonathan DahlenJean-Christophe BeaudinCal Burke10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Wiley ShermanCollin Miller40122
2Reece WillcoxTucker Poolman30122
3Samuel GirardVille Pokka20122
4Wiley ShermanCollin Miller10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joakim NygardJason DickinsonIlya Mikheyev60023
2Shane GersichRadel FazleevMatt Luff40023
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Wiley ShermanCollin Miller60122
2Reece WillcoxTucker Poolman40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jason DickinsonJoakim Nygard60122
2Radel FazleevShane Gersich40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Wiley ShermanCollin Miller60032
2Reece WillcoxTucker Poolman40032
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jason Dickinson60122Wiley ShermanCollin Miller60032
2Radel Fazleev40122Reece WillcoxTucker Poolman40032
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jason DickinsonJoakim Nygard60023
2Radel FazleevShane Gersich40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Wiley ShermanCollin Miller60122
2Reece WillcoxTucker Poolman40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joakim NygardJason DickinsonIlya MikheyevWiley ShermanCollin Miller
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joakim NygardJason DickinsonIlya MikheyevWiley ShermanCollin Miller
Extra Forwards
Normal PowerPlayPenalty Kill
Matt Luff, Emile Poirier, Justin AugerMatt Luff, Emile PoirierMatt Luff
Extra Defensemen
Normal PowerPlayPenalty Kill
Tucker Poolman, Samuel Girard, Ville PokkaTucker PoolmanTucker Poolman, Samuel Girard
Penalty Shots
Ilya Mikheyev, Joakim Nygard, Jason Dickinson, Shane Gersich, Matt Luff
Goalie
#1 : Michael Houser, #2 : Danil Tarasov
Custom OT Lines Forwards
Ilya Mikheyev, Joakim Nygard, Jason Dickinson, Shane Gersich, Matt Luff, Emile Poirier, Emile Poirier, Justin Auger, Radel Fazleev, Jonathan Dahlen, Filip Chytil
Custom OT Lines Defensemen
Wiley Sherman, Collin Miller, Reece Willcox, Tucker Poolman, Samuel Girard


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
1Admirals32100000871110000002112110000066040.667814220087132115995870957852341003518777228.57%90100.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
2Americans22000000954110000004221100000053241.0009122100871321159788709578523463211244300.00%60100.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
3Barracuda211000009631010000034-11100000062420.50091423008713211595787095785234732210419222.22%50100.00%1964184652.22%912175651.94%668129951.42%168794917367431413699
4Bears3210000014122211000009901100000053240.6671426400087132115910587095785234110281850300.00%9188.89%0964184652.22%912175651.94%668129951.42%168794917367431413699
5Canucks714000022534-9302000011218-6412000011316-340.2862543680087132115924087095785234254896816433824.24%331069.70%1964184652.22%912175651.94%668129951.42%168794917367431413699
6Checkers321000001073220000009451010000013-240.6671016260087132115976870957852347134206610440.00%10190.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
7Comets3100011012102100000105412100010076150.83312183000871321159100870957852341053820556116.67%10190.00%1964184652.22%912175651.94%668129951.42%168794917367431413699
8Condors220000001394110000006511100000074341.000132134008713211597087095785234751618347114.29%9188.89%3964184652.22%912175651.94%668129951.42%168794917367431413699
9Crunch32001000171252100100010731100000075261.00017274400871321159122870957852341092724538337.50%12466.67%0964184652.22%912175651.94%668129951.42%168794917367431413699
10Eagles4220000020182211000001064211000001012-240.500203757008713211591238709578523413341248318633.33%12283.33%0964184652.22%912175651.94%668129951.42%168794917367431413699
11Griffins2110000067-11010000035-21100000032120.5006814108713211597987095785234671614409333.33%7185.71%0964184652.22%912175651.94%668129951.42%168794917367431413699
12Icehogs31200000811-3211000007701010000014-320.33381422008713211591048709578523411629226514214.29%11281.82%1964184652.22%912175651.94%668129951.42%168794917367431413699
13Islander30200001815-720200000511-61000000134-110.1678152300871321159101870957852341044720531300.00%10640.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
14Marlies32001000181082100100010731100000083561.0001834520087132115910587095785234963714638112.50%70100.00%1964184652.22%912175651.94%668129951.42%168794917367431413699
15Moose2010100079-2100010004311010000036-320.50071017008713211596087095785234682022303133.33%12375.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
16Penguins330000001486220000008531100000063361.00014233700871321159111870957852341064016661218.33%8275.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
17Phantoms220000001293110000007611100000053241.0001222340087132115978870957852347625143911218.18%7185.71%1964184652.22%912175651.94%668129951.42%168794917367431413699
18Punishers64200000282713210000017170321000001110180.6672846740087132115919887095785234225645212028725.00%26869.23%1964184652.22%912175651.94%668129951.42%168794917367431413699
19Reign20200000810-21010000045-11010000045-100.00081220008713211596187095785234771712437228.57%6266.67%1964184652.22%912175651.94%668129951.42%168794917367431413699
20Rocket302001001015-51000010034-120200000711-410.16710192900871321159898709578523411328246412325.00%12191.67%0964184652.22%912175651.94%668129951.42%168794917367431413699
21Senators3210000015105110000007252110000088040.6671527420087132115991870957852347240126916531.25%60100.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
22Silver Knights31100100131301010000045-12100010098130.50013233600871321159112870957852349533185513323.08%9277.78%1964184652.22%912175651.94%668129951.42%168794917367431413699
23Thunderbirds73400000282713210000015132413000001314-160.4292849770087132115923787095785234237847016232618.75%35780.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
24Wolfpack311001001314-11000010034-1211000001010030.50013223510871321159988709578523410636145913215.38%7271.43%0964184652.22%912175651.94%668129951.42%168794917367431413699
25Wranglers320010001495220000007341000100076161.0001425390087132115910987095785234932524599444.44%12375.00%0964184652.22%912175651.94%668129951.42%168794917367431413699
Total80392904413339314254020130321117415717401916012021651578950.59433957791620871321159269987095785234274489258016543046922.70%2906079.31%12964184652.22%912175651.94%668129951.42%168794917367431413699
_Since Last GM Reset80392904413339314254020130321117415717401916012021651578950.59433957791620871321159269987095785234274489258016543046922.70%2906079.31%12964184652.22%912175651.94%668129951.42%168794917367431413699
_Vs Conference48221801313202197524119011111071034241190020295941540.5632023455471087132115916238709578523416555613649861894121.69%1814674.59%4964184652.22%912175651.94%668129951.42%168794917367431413699
_Vs Division20810000028188-7944000014448-41146000013740-3180.450811382190087132115967587095785234716237190446932122.58%942573.40%2964184652.22%912175651.94%668129951.42%168794917367431413699

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8095L433957791626992744892580165420
All Games
GPWLOTWOTL SOWSOLGFGA
8039294413339314
Home Games
GPWLOTWOTL SOWSOLGFGA
4020133211174157
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4019161202165157
Last 10 Games
WLOTWOTL SOWSOL
451000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3046922.70%2906079.31%12
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
87095785234871321159
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
964184652.22%912175651.94%668129951.42%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
168794917367431413699


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
12Little Stars6Thunderbirds1WR1BoxScore
25Little Stars6Canucks5WBoxScore
424Canucks6Little Stars5LXXR1BoxScore
741Thunderbirds8Little Stars4LR1BoxScore
848Little Stars3Thunderbirds5LBoxScore
1267Little Stars3Canucks4LXXR1BoxScore
1475Punishers3Little Stars6WR1BoxScore
1896Bears6Little Stars5LBoxScore
20110Little Stars4Punishers2WR1BoxScore
22119Wranglers1Little Stars3WBoxScore
26139Crunch3Little Stars5WBoxScore
28151Little Stars3Punishers2WR1BoxScore
30163Punishers4Little Stars9WBoxScore
32172Little Stars2Comets3LXBoxScore
36191Checkers3Little Stars5WBoxScore
39210Barracuda4Little Stars3LBoxScore
41218Little Stars6Barracuda2WBoxScore
45236Comets4Little Stars5WXXBoxScore
47247Little Stars4Punishers6LR1BoxScore
49255Little Stars5Bears3WBoxScore
53271Senators2Little Stars7WBoxScore
56289Little Stars1Checkers3LBoxScore
58297Wranglers2Little Stars4WBoxScore
60307Little Stars7Silver Knights5WBoxScore
62322Little Stars6Penguins3WBoxScore
63328Reign5Little Stars4LBoxScore
66342Little Stars5Comets3WBoxScore
67350Little Stars8Marlies3WBoxScore
69360Icehogs3Little Stars5WBoxScore
72378Rocket4Little Stars3LXBoxScore
74390Little Stars1Thunderbirds4LR1BoxScore
77401Little Stars5Americans3WBoxScore
79410Icehogs4Little Stars2LBoxScore
82426Little Stars3Wolfpack5LBoxScore
83434Eagles2Little Stars8WBoxScore
87456Silver Knights5Little Stars4LBoxScore
89468Little Stars1Canucks2LR1BoxScore
91474Little Stars3Islander4LXXBoxScore
93484Little Stars1Icehogs4LBoxScore
94492Admirals1Little Stars2WBoxScore
98511Thunderbirds3Little Stars5WR1BoxScore
100527Little Stars7Wolfpack5WBoxScore
102537Griffins5Little Stars3LBoxScore
104546Little Stars3Moose6LBoxScore
107562Americans2Little Stars4WBoxScore
112588Phantoms6Little Stars7WBoxScore
114595Little Stars3Griffins2WBoxScore
117613Punishers10Little Stars2LR1BoxScore
121635Condors5Little Stars6WBoxScore
123650Little Stars5Phantoms3WBoxScore
125660Thunderbirds2Little Stars6WR1BoxScore
126669Little Stars4Senators2WBoxScore
130687Marlies4Little Stars6WBoxScore
132701Little Stars3Canucks5LR1BoxScore
134711Eagles4Little Stars2LBoxScore
135720Little Stars7Condors4WBoxScore
138735Little Stars4Reign5LBoxScore
140740Little Stars7Wranglers6WXBoxScore
141749Wolfpack4Little Stars3LXBoxScore
144768Marlies3Little Stars4WXBoxScore
147788Little Stars7Crunch5WBoxScore
148795Canucks4Little Stars2LR1BoxScore
152815Canucks8Little Stars5LBoxScore
155825Little Stars3Thunderbirds4LR1BoxScore
158843Bears3Little Stars4WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
160850Little Stars2Admirals3LBoxScore
164869Moose3Little Stars4WXBoxScore
166877Little Stars4Senators6LBoxScore
169895Penguins4Little Stars5WBoxScore
170900Little Stars2Silver Knights3LXBoxScore
174920Penguins1Little Stars3WBoxScore
178943Checkers1Little Stars4WBoxScore
181961Little Stars4Admirals3WBoxScore
183971Crunch4Little Stars5WXBoxScore
184980Little Stars4Rocket6LBoxScore
186989Little Stars6Eagles4WBoxScore
188999Islander5Little Stars3LBoxScore
1901005Little Stars3Rocket5LBoxScore
1931015Little Stars4Eagles8LBoxScore
1991035Islander6Little Stars2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,55836,968
Attendance PCT93.20%92.42%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2788 - 92.94% 175,817$7,032,667$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,646,590$ 1,802,000$ 1,672,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,965$ 1,883,534$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 12,697$ 12,697$




Little Stars 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

Little Stars Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Little Stars 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

Little Stars 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

Little Stars Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA