Your STHS is out of Date!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

Little Stars
GP: 6 | W: 2 | L: 4
GF: 28 | GA: 25 | PP%: 13.04% | PK%: 85.00%
GM : Francois Cloutier | Morale : 13 | Team Overall : 65
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Checkers
7-6-0, 14pts
7
FINAL
3 Little Stars
2-4-0, 4pts
Team Stats
OTL1StreakOTL1
3-4-0Home Record1-2-0
4-2-0Home Record1-2-0
5-4-1Last 10 Games2-2-2
3.54Goals Per Game4.67
4.00Goals Against Per Game4.17
14.29%Power Play Percentage13.04%
78.26%Penalty Kill Percentage85.00%
Little Stars
2-4-0, 4pts
6
FINAL
7 Checkers
7-6-0, 14pts
Team Stats
OTL1StreakOTL1
1-2-0Home Record3-4-0
1-2-0Home Record4-2-0
2-2-2Last 10 Games5-4-1
4.67Goals Per Game3.54
4.17Goals Against Per Game4.00
13.04%Power Play Percentage14.29%
85.00%Penalty Kill Percentage78.26%
Team Leaders
Goals
Joakim Nygard
4
Assists
Joakim Nygard
6
Points
Joakim Nygard
10
Plus/Minus
Collin Miller
6
Wins
Michael Houser
2
Save Percentage
Michael Houser
0.92

Team Stats
Goals For
28
4.67 GFG
Shots For
209
34.83 Avg
Power Play Percentage
13.0%
3 GF
Offensive Zone Start
37.2%
Goals Against
25
4.17 GAA
Shots Against
241
40.17 Avg
Penalty Kill Percentage
85.0%%
3 GA
Defensive Zone Start
36.0%
Team Info

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


Arena Info

Capacity3,000
Attendance2,996
Season Tickets300


Roster Info

Pro Team30
Farm Team21
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)X100.007233786970707573767274597749474940690231500,000$
3Joakim NygardX100.006240827577666580757066618553564065690251950,000$
4Shane Gersich (R)X100.006540827160707679798171455644445065680222800,000$
5Emile Poirier (R)X100.005833837178686964656882547348483565670242650,000$
6Matt Luff (R)X100.006535777176656562677184527047475365670214750,000$
7Justin Auger (R)X100.006029786169736962657577487048493665650242600,000$
8Radel Fazleev (R)X100.005337767058716867767771475344443865640221550,000$
9Filip Chytil (R)X100.006144766469656169616663506341417053620191500,000$
10Jonathan Dahlen (R)X100.005625687250545174666369576844434710620213550,000$
11Cal Burke (R)X100.006350796955685359597263446545485965610212500,000$
12Jean-Christophe Beaudin (R)X100.005326655951566268637161435443435319580212250,000$
13Wiley Sherman (R)X100.006936877770837973687670756967485266730234975,000$
14Collin MillerX100.007128767068736976556869775971543340700261500,000$
15Reece Willcox (R)X100.007030767773707869537362756363513865700241850,000$
16Tucker PoolmanX100.007133747673696668647357686258543637680251600,000$
17Samuel Girard (R)X100.006127787667677079458561695049446156680204800,000$
18Ville Pokka (R)X100.006938767365686669476964695850503845670242600,000$
Scratches
1Daniel O'regan (R)X90.157128797073787973768373606366533662710241950,000$
2Joey Anderson (R)X100.006143696765566358645865605842426119600204525,000$
3Givani Smith (R)X100.007048606269528062536561545142425919600204525,000$
4Rudolfs Balcers (R)X100.006038706053665756635970516343434822590212250,000$
5Yakov Trenin (R)X100.006536666166625466575957426043434119570213250,000$
6Jack McBain (R)X100.006838545865547161566555474840408120560182500,000$
7Blade Jenkins (R)X100.005736645754565856535262535440406620550182500,000$
8Connor Mackey (R)X100.006546786668676968465960696247494450650221500,000$
9Lawrence Pilut (R)X100.006638705863606868457059605748454419620232550,000$
TEAM AVERAGE99.64643674686666676862696758625047484465
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 Houser100.00708156746873708283666459564465720262995,000$
2Danil Tarasov100.00715068797554506169518142427658620191500,000$
Scratches
1Michael Giugovaz100.00536355585951675250566645454022560231250,000$
TEAM AVERAGE100.0065656070675962656758704948534863
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
1Joakim NygardLittle Stars (Dal)LW64610060762931513.79%014323.981013230001141038.46%1382001.3900000000
2Ilya MikheyevLittle Stars (Dal)RW6437-19510102161619.05%112520.95011422000000035.00%2048001.1100001000
3Jason DickinsonLittle Stars (Dal)C625704014823398.70%214424.060002230000150037.56%21332000.9700000000
4Shane GersichLittle Stars (Dal)LW6437220562291718.18%110617.76202217000180028.57%773001.3100000101
5Emile PoirierLittle Stars (Dal)LW642630023123533.33%27512.5300001000070050.00%231001.6000000200
6Wiley ShermanLittle Stars (Dal)D606662061015050%817929.95011124000118000%048000.6700000000
7Matt LuffLittle Stars (Dal)RW624634076137715.38%311018.35011117000290061.54%1322001.0900000010
8Collin MillerLittle Stars (Dal)D6145660128115109.09%1517829.81011324000016000%025000.5600000001
9Justin AugerLittle Stars (Dal)RW61342007264416.67%06510.99000000000000100.00%111001.2100000000
10Radel FazleevLittle Stars (Dal)C622424077156413.33%210417.38011017000051055.79%9523000.7700000000
11Samuel GirardLittle Stars (Dal)D6033-100146060%87512.550000000003000%015000.8000000000
12Jonathan DahlenLittle Stars (Dal)LW6303-1003394233.33%2528.73000000000000100.00%260001.1500000010
13Filip ChytilLittle Stars (Dal)C60221009116390%07011.6700000000050031.82%4401000.5700000000
14Cal BurkeLittle Stars (Dal)RW6022-120335120%0518.590000000000000%210000.7800000000
15Jean-Christophe BeaudinLittle Stars (Dal)C6011-100303310%0518.6400000000000033.33%2411000.3900000000
16Reece WillcoxLittle Stars (Dal)D6011-240746510%312420.82000016000011000%016000.1600000000
17Tucker PoolmanLittle Stars (Dal)D6011-20014113030%512821.39000016000016000%035000.1600000000
18Ville PokkaLittle Stars (Dal)D6101-1202341325.00%37111.950000000000000%004000.2800000000
Team Total or Average108284876154551191052096311913.40%55186017.233581620900051342041.51%4364957000.8200001322
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)42200.9203.06216001113769100042110
2Danil TarasovLittle Stars (Dal)30020.8655.22161001410450000024000
Team Total or Average72220.8963.97378002524111910066110


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$0$0$No500,000$--------No--------Link
Cal BurkeLittle Stars (Dal)RW211997-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Collin MillerLittle Stars (Dal)D261992-01-01No175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Connor MackeyLittle Stars (Dal)D221996-01-01Yes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Daniel O'regan (Out of Payroll)Little Stars (Dal)C241994-01-01Yes169 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$Yes------------------
Danil TarasovLittle Stars (Dal)G191999-01-01No196 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Emile PoirierLittle Stars (Dal)LW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No750,000$--------No--------
Filip ChytilLittle Stars (Dal)C191999-01-01Yes210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Givani SmithLittle Stars (Dal)RW201998-01-01Yes205 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm525,000$0$0$No550,000$600,000$625,000$------NoNoNo------
Ilya MikheyevLittle Stars (Dal)RW241994-01-01Yes195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No------------------
Jack McBainLittle Stars (Dal)C182000-01-01Yes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Jason DickinsonLittle Stars (Dal)C231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jean-Christophe BeaudinLittle Stars (Dal)C211997-01-01Yes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm250,000$0$0$No250,000$--------No--------
Joakim NygardLittle Stars (Dal)LW251993-01-01No179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
Joey AndersonLittle Stars (Dal)RW201998-01-01Yes190 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm525,000$0$0$No550,000$600,000$625,000$------NoNoNo------
Jonathan DahlenLittle Stars (Dal)LW211997-01-01Yes181 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm550,000$0$0$No575,000$650,000$-------NoNo-------
Justin AugerLittle Stars (Dal)RW241994-01-01Yes185 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No700,000$--------No--------
Lawrence PilutLittle Stars (Dal)D231995-01-01Yes194 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------
Matt LuffLittle Stars (Dal)RW211997-01-01Yes190 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm750,000$0$0$No900,000$995,000$1,250,000$------NoNoNo------
Michael GiugovazLittle Stars (Dal)G231995-01-01No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm250,000$0$0$No------------------
Michael HouserLittle Stars (Dal)G261992-01-01No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm995,000$0$0$No2,000,000$--------No--------
Radel FazleevLittle Stars (Dal)C221996-01-01Yes192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm550,000$0$0$No------------------
Reece WillcoxLittle Stars (Dal)D241994-01-01Yes184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------
Rudolfs BalcersLittle Stars (Dal)LW211997-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm250,000$0$0$No300,000$--------No--------
Samuel GirardLittle Stars (Dal)D201998-01-01Yes170 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm800,000$0$0$No900,000$1,200,000$1,800,000$------NoNoNo------
Shane GersichLittle Stars (Dal)LW221996-01-01Yes175 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No900,000$--------No--------
Tucker PoolmanLittle Stars (Dal)D251993-01-01No185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No------------------
Ville PokkaLittle Stars (Dal)D241994-01-01Yes205 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No650,000$--------No--------
Wiley ShermanLittle Stars (Dal)D231995-01-01Yes185 Lbs6 ft6NoNoN/ANoNo4FalseFalsePro & Farm975,000$0$0$No1,500,000$2,000,000$2,500,000$------NoNoNo------
Yakov TreninLittle Stars (Dal)C211997-01-01Yes201 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3022.13189 Lbs6 ft12.00615,667$



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 : Danil Tarasov, #2 : Michael Houser
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
1Checkers62400000282533120000013121312000001513240.33328487600811902098863553241554511923313.04%20385.00%07216244.44%6915743.95%4011734.19%133761395610653
Total62400000282533120000013121312000001513240.33328487600811902098863553241554511923313.04%20385.00%07216244.44%6915743.95%4011734.19%133761395610653
_Since Last GM Reset62400000282533120000013121312000001513240.33328487600811902098863553241554511923313.04%20385.00%07216244.44%6915743.95%4011734.19%133761395610653
_Vs Conference62400000282533120000013121312000001513240.33328487600811902098863553241554511923313.04%20385.00%07216244.44%6915743.95%4011734.19%133761395610653

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64OTL1284876209241554511900
All Games
GPWLOTWOTL SOWSOLGFGA
62400002825
Home Games
GPWLOTWOTL SOWSOLGFGA
31200001312
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31200001513
Last 10 Games
WLOTWOTL SOWSOL
220200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23313.04%20385.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
886355381190
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7216244.44%6915743.95%4011734.19%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
133761395610653


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
18Checkers4Little Stars3LBoxScore
216Checkers1Little Stars7WBoxScore
324Little Stars4Checkers5LXBoxScore
432Little Stars5Checkers1WBoxScore
540Checkers7Little Stars3LBoxScore
648Little Stars6Checkers7LXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance6,0002,987
Attendance PCT100.00%99.57%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
37 2996 - 99.86% 188,818$566,454$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,847,000$ 1,712,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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