Login

Little Stars
GP: 18 | W: 11 | L: 6 | OTL: 1 | P: 23
GF: 69 | GA: 60 | PP%: 18.82% | PK%: 86.79%
GM : Francois Cloutier | Morale : 45 | Team Overall : 63
Next Games #234 vs Heat
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Little Stars
11-6-1, 23pts
4
FINAL
2 Eagles
12-4-1, 25pts
Team Stats
SOL1StreakW1
5-3-1Home Record7-2-0
6-3-0Away Record5-2-1
5-4-1Last 10 Games7-2-1
3.83Goals Per Game3.88
3.33Goals Against Per Game3.29
18.82%Power Play Percentage20.00%
86.79%Penalty Kill Percentage85.29%
Griffins
10-7-0, 20pts
5
FINAL
4 Little Stars
11-6-1, 23pts
Team Stats
SOW1StreakSOL1
5-4-0Home Record5-3-1
5-3-0Away Record6-3-0
4-6-0Last 10 Games5-4-1
4.59Goals Per Game3.83
4.00Goals Against Per Game3.33
21.05%Power Play Percentage18.82%
76.06%Penalty Kill Percentage86.79%
Little Stars
11-6-1, 23pts
2022-01-13
Heat
8-8-3, 19pts
Team Stats
SOL1StreakOTL1
5-3-1Home Record3-3-2
6-3-0Away Record5-5-1
5-4-1Last 10 Games2-5-3
3.83Goals Per Game3.68
3.33Goals Against Per Game4.05
18.82%Power Play Percentage18.99%
86.79%Penalty Kill Percentage82.29%
Penguins
6-12-1, 13pts
2022-01-15
Little Stars
11-6-1, 23pts
Team Stats
L3StreakSOL1
5-4-0Home Record5-3-1
1-8-1Away Record6-3-0
3-7-0Last 10 Games5-4-1
3.37Goals Per Game3.83
4.53Goals Against Per Game3.33
19.32%Power Play Percentage18.82%
74.74%Penalty Kill Percentage86.79%
Penguins
6-12-1, 13pts
2022-01-19
Little Stars
11-6-1, 23pts
Team Stats
L3StreakSOL1
5-4-0Home Record5-3-1
1-8-1Away Record6-3-0
3-7-0Last 10 Games5-4-1
3.37Goals Per Game3.83
4.53Goals Against Per Game3.33
19.32%Power Play Percentage18.82%
74.74%Penalty Kill Percentage86.79%
Team Leaders
Goals
Jordan LaVallee
13
Assists
Daniel O'regan
21
Points
Daniel O'regan
24
Plus/Minus
Ville Pokka
8
Wins
Connor Knapp
7
Save Percentage
Dustin Tokarski
0.913

Team Stats
Goals For
69
3.83 GFG
Shots For
615
34.17 Avg
Power Play Percentage
18.8%
16 GF
Offensive Zone Start
38.7%
Goals Against
60
3.33 GAA
Shots Against
560
31.11 Avg
Penalty Kill Percentage
86.8%
7 GA
Defensive Zone Start
34.5%
Team Info

General ManagerFrancois Cloutier
CoachClaude Julien
DivisionGunther-Sabetzki
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,871
Season Tickets300


Roster Info

Pro Team32
Farm Team20
Contract Limit52 / 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
1Jordan LaValleeX100.007038766666717171668076607072671847700302900,000$
2Ilya Mikheyev (R)X100.007549806869767476767067616953494750690221500,000$
3Adam Tambellini (R)X100.006229756882756764687482486451454250670223600,000$
4Daniel O'regan (R)X100.006528786865767371727872565950454350670221400,000$
5Joakim Nygard (R)X100.005740807471625981727062618349524850670231500,000$
6Michael Mersch (R)X100.006735747273656370655875537055563850650241500,000$
7Sebastian Wannstrom (R)X100.006429707071676666717268506155563050650251700,000$
8Zach Budish (R)X100.007132776566646563677272566449493150650251725,000$
9Henrik Borgstrom (R)X100.006940746973687166717066606343417750650192500,000$
10Jason Dickinson (R)X100.006632746863636971726669547344445850640213500,000$
11Roman Horak (R)X100.006139746758686669716762495348492650620252300,000$
12Matt Luff (R)X100.006335685871585857566981396543436450610192500,000$
13Anton Cederholm (R)X100.006727846675707060487762804955445150700213750,000$
14Eric Knodel (R)X100.007434707167786567457260715562562950690261500,000$
15Reece Willcox (R)X100.006229757464647267496957746348464650660221375,000$
16Tucker Poolman (R)X100.006933707567625965606851645748484350640233600,000$
17Ville Pokka (R)X100.006437706360656366356662595444444550610221500,000$
18Frederic Allard (R)X100.006247676355656166356044645341426524600192500,000$
Scratches
1Emile Poirier (R)X100.005430806974646662626380507146444324640222550,000$
2Shane Gersich (R)X100.006136776856667374767564405242426522630204600,000$
3Daniil Tarasov (R)X100.006232676168626066706566546055552822620251650,000$
4Justin Auger (R)X100.005727745665696559607072416846454422600222500,000$
5Radel Fazleev (R)X100.004933716453666361737465445142424922600203550,000$
6Jonathan Dahlen (R)X100.005223646845504670625763536342416022580192500,000$
7Joey Anderson (R)X100.005741666462535953615460555440407722560182500,000$
8Givani Smith (R)X100.006544575865487658496155504840407622560182500,000$
9Rudolfs Balcers (R)X100.005735675550625351595465475841416122550191500,000$
10Jean-Christophe Beaudin (R)X100.004923615346526062606857385141416822540191500,000$
11Yakov Trenin (R)X100.006231625561585062505352395641415322530191500,000$
12Lawrence Pilut (R)X100.006035685459586563416457545246435722580211500,000$
TEAM AVERAGE100.00623472656464646561676554604846493863
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
1Connor Knapp100.00705766757670646574677357532750690261900,000$
2Dustin Tokarski99.00716781666675746764736768593050690271900,000$
Scratches
TEAM AVERAGE99.5071627471717369666970706356295069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Claude Julien82837474596155CAN5211,000,000$


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)C1832124114023385518365.45%1139922.201454710000370152.45%59174001.2011000031
2Jordan LaValleeLittle Stars (Dal)LW18131124-1100313083284815.66%1140922.7851612710003474043.84%73176011.1702000104
3Ilya MikheyevLittle Stars (Dal)RW1812921240262174212316.22%637220.7114523710002192144.12%3478001.1302000511
4Henrik BorgstromLittle Stars (Dal)C18611170100273132132618.75%529916.664376610000101051.06%18844001.1300000200
5Adam TambelliniLittle Stars (Dal)LW188513-140302254152514.81%733018.363147610003350042.86%14163000.7912000011
6Sebastian WannstromLittle Stars (Dal)RW1857120120252638143013.16%329116.22066361000001050.00%14128000.8200000000
7Anton CederholmLittle Stars (Dal)D181910-44020422410144.17%3550327.95123579000352000.00%0615000.4000000110
8Tyler WotherspoonStarsD15010106201530171170.00%2534122.74022464000252000.00%0610000.5900000002
9Michael MerschLittle Stars (Dal)LW183583201493312209.09%11427.9300001000030133.33%692001.1200000101
10Reece WillcoxLittle Stars (Dal)D18178-440132226663.85%1737120.63112454000034000.00%0515000.4300000000
11Roman HorakLittle Stars (Dal)C183583007112981810.34%11427.9200000000041046.30%5422001.1200000100
12Jason DickinsonLittle Stars (Dal)C18437-32020203161612.90%421912.19000020000170147.86%11755000.6400000000
13Zach BudishLittle Stars (Dal)RW18336-32027122771011.11%420611.4500003000041050.00%683000.5800000001
14Matt LuffLittle Stars (Dal)RW18426460133114636.36%01367.590000000000010.00%042000.8800000030
15Joakim NygardLittle Stars (Dal)LW18235-3409203910265.13%520711.5400013000060114.29%7104000.4801000000
16Eric KnodelLittle Stars (Dal)D18044-1200213326870.00%1742223.46011455000027000.00%0813000.1900000000
17Tucker PoolmanLittle Stars (Dal)D18022-66023231110120.00%2327015.030000200009000.00%015000.1500000000
18Frederic AllardLittle Stars (Dal)D3011100353200.00%45919.8001121500003000.00%021000.3400000000
19Emile PoirierLittle Stars (Dal)LW2000-100000000.00%021.150000000000000.00%100000.0000000000
20Ville PokkaLittle Stars (Dal)D180008207132420.00%821511.970000100006000.00%014000.0000000000
Team Total or Average326681181861108035441161520733211.06%187534516.40162642756810001337210650.05%1105130114010.702800011911
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
1Connor KnappLittle Stars (Dal)107300.8823.476050035296155100.8005108001
2Dustin TokarskiLittle Stars (Dal)84310.9132.854842023263141010.6673810110
Team Total or Average1811610.8963.2010892058559296110.75081818111


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 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 TambelliniLittle Stars (Dal)LW221994-01-01Yes185 Lbs6 ft4NoNoNo3Pro & Farm600,000$468,000$0$0$No600,000$600,000$
Anton CederholmLittle Stars (Dal)D211995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm750,000$585,000$0$0$No750,000$750,000$
Connor KnappLittle Stars (Dal)G261990-01-01No206 Lbs6 ft6NoNoNo1Pro & Farm900,000$702,000$0$0$No
Daniel O'reganLittle Stars (Dal)C221994-01-01Yes169 Lbs5 ft9NoNoNo1Pro & Farm400,000$312,000$0$0$No
Daniil TarasovLittle Stars (Dal)RW251991-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm650,000$507,000$0$0$No
Dustin TokarskiLittle Stars (Dal)G271989-01-01No198 Lbs5 ft11NoNoNo1Pro & Farm900,000$702,000$0$0$No
Emile PoirierLittle Stars (Dal)LW221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm550,000$429,000$0$0$No550,000$
Eric KnodelLittle Stars (Dal)D261990-01-01Yes216 Lbs6 ft6NoNoNo1Pro & Farm500,000$390,000$0$0$No
Frederic AllardLittle Stars (Dal)D191997-01-01Yes179 Lbs6 ft1NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Givani SmithLittle Stars (Dal)RW181998-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Henrik BorgstromLittle Stars (Dal)C191997-01-01Yes198 Lbs6 ft3NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Ilya MikheyevLittle Stars (Dal)RW221994-01-01Yes195 Lbs6 ft3NoNoNo1Pro & Farm500,000$390,000$0$0$No
Jason DickinsonLittle Stars (Dal)C211995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm500,000$390,000$0$0$No500,000$500,000$
Jean-Christophe BeaudinLittle Stars (Dal)C191997-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$390,000$0$0$No
Joakim NygardLittle Stars (Dal)LW231993-01-01Yes179 Lbs6 ft0NoNoNo1Pro & Farm500,000$390,000$0$0$No
Joey AndersonLittle Stars (Dal)RW181998-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Jonathan DahlenLittle Stars (Dal)LW191997-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Jordan LaValleeLittle Stars (Dal)LW301986-01-01No225 Lbs6 ft3NoNoNo2Pro & Farm900,000$702,000$0$0$No900,000$
Justin AugerLittle Stars (Dal)RW221994-01-01Yes185 Lbs6 ft7NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Lawrence PilutLittle Stars (Dal)D211995-01-01Yes194 Lbs5 ft11NoNoNo1Pro & Farm500,000$390,000$0$0$No
Matt LuffLittle Stars (Dal)RW191997-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Michael MerschLittle Stars (Dal)LW241992-01-01Yes218 Lbs6 ft2NoNoNo1Pro & Farm500,000$390,000$0$0$No
Radel FazleevLittle Stars (Dal)C201996-01-01Yes192 Lbs5 ft11NoNoNo3Pro & Farm550,000$429,000$0$0$No550,000$550,000$
Reece WillcoxLittle Stars (Dal)D221994-01-01Yes184 Lbs6 ft3NoNoNo1Pro & Farm375,000$292,500$0$0$No
Roman HorakLittle Stars (Dal)C251991-01-01Yes170 Lbs6 ft0NoNoNo2Pro & Farm300,000$234,000$0$0$No300,000$
Rudolfs BalcersLittle Stars (Dal)LW191997-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$390,000$0$0$No
Sebastian WannstromLittle Stars (Dal)RW251991-01-01Yes180 Lbs6 ft1NoNoNo1Pro & Farm700,000$546,000$0$0$No
Shane GersichLittle Stars (Dal)LW201996-01-01Yes175 Lbs5 ft11NoNoNo4Pro & Farm600,000$468,000$0$0$No700,000$800,000$900,000$
Tucker PoolmanLittle Stars (Dal)D231993-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm600,000$468,000$0$0$No600,000$600,000$
Ville PokkaLittle Stars (Dal)D221994-01-01Yes205 Lbs5 ft11NoNoNo1Pro & Farm500,000$390,000$0$0$No
Yakov TreninLittle Stars (Dal)C191997-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm500,000$390,000$0$0$No
Zach BudishLittle Stars (Dal)RW251991-01-01Yes223 Lbs6 ft3NoNoNo1Pro & Farm725,000$565,500$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3222.03192 Lbs6 ft11.72562,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jordan LaValleeDaniel O'reganIlya Mikheyev40122
2Adam TambelliniHenrik BorgstromSebastian Wannstrom30122
3Joakim NygardJason DickinsonZach Budish20122
4Michael MerschRoman HorakMatt Luff10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton CederholmEric Knodel40122
2Reece WillcoxTucker Poolman30122
3Ville PokkaFrederic Allard20122
4Anton CederholmEric Knodel10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jordan LaValleeDaniel O'reganIlya Mikheyev60122
2Adam TambelliniHenrik BorgstromSebastian Wannstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton CederholmFrederic Allard60122
2Reece WillcoxEric Knodel40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Daniel O'reganJordan LaVallee60122
2Henrik BorgstromAdam Tambellini40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton CederholmFrederic Allard60122
2Reece WillcoxEric Knodel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Daniel O'regan60122Anton CederholmFrederic Allard60122
2Henrik Borgstrom40122Reece WillcoxEric Knodel40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Daniel O'reganJordan LaVallee60122
2Henrik BorgstromAdam Tambellini40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton CederholmFrederic Allard60122
2Reece WillcoxEric Knodel40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jordan LaValleeDaniel O'reganIlya MikheyevAnton CederholmFrederic Allard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jordan LaValleeDaniel O'reganIlya MikheyevAnton CederholmFrederic Allard
Extra Forwards
Normal PowerPlayPenalty Kill
Daniel O'regan, Sebastian Wannstrom, Zach BudishDaniel O'regan, Sebastian WannstromDaniel O'regan
Extra Defensemen
Normal PowerPlayPenalty Kill
Tucker Poolman, Ville Pokka, Frederic AllardTucker PoolmanTucker Poolman, Ville Pokka
Penalty Shots
Jordan LaVallee, Ilya Mikheyev, Adam Tambellini, Joakim Nygard, Daniel O'regan
Goalie
#1 : Dustin Tokarski, #2 : Connor Knapp


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
1Bears11000000541110000005410000000000021.00051015001624273371801922391226104256233.33%20100.00%023742855.37%17838146.72%13829646.62%378206383171329164
2Comets311000101183211000007521000001043140.66711172800162427397180192239128028226122418.18%10190.00%023742855.37%17838146.72%13829646.62%378206383171329164
3Crunch11000000321000000000001100000032121.00035800162427337180192239122586234125.00%30100.00%023742855.37%17838146.72%13829646.62%378206383171329164
4Eagles21100000651000000000002110000065120.5006101600162427370180192239125729831600.00%40100.00%023742855.37%17838146.72%13829646.62%378206383171329164
5Griffins1000000145-11000000145-10000000000010.5004812001624273411801922391237152236233.33%10100.00%023742855.37%17838146.72%13829646.62%378206383171329164
6Marlies2020000059-41010000024-21010000035-200.00057121016242735118019223912671610388112.50%5180.00%023742855.37%17838146.72%13829646.62%378206383171329164
7Moose11000000523000000000001100000052321.0005813001624273381801922391238126182150.00%20100.00%023742855.37%17838146.72%13829646.62%378206383171329164
8Punishers22000000743110000005321100000021141.00071320001624273671801922391261151432800.00%70100.00%023742855.37%17838146.72%13829646.62%378206383171329164
9Rampage3110100010100100010003212110000078-140.667101828001624273106180192239129422267017317.65%13376.92%023742855.37%17838146.72%13829646.62%378206383171329164
10Sound Tigers11000000844110000008440000000000021.00081422001624273281801922391236176132150.00%30100.00%023742855.37%17838146.72%13829646.62%378206383171329164
11Wolves1010000057-21010000057-20000000000000.0005813001624273431801922391239156204125.00%3233.33%023742855.37%17838146.72%13829646.62%378206383171329164
Total1896010116960994301001393459530001030264230.6396911818710162427361518019223912560187110354851618.82%53786.79%023742855.37%17838146.72%13829646.62%378206383171329164
_Since Last GM Reset1896010116960994301001393459530001030264230.6396911818710162427361518019223912560187110354851618.82%53786.79%023742855.37%17838146.72%13829646.62%378206383171329164
_Vs Conference14840101055441174201000332587420001022193200.71455951500016242734851801922391241814492275691217.39%45686.67%023742855.37%17838146.72%13829646.62%378206383171329164
_Vs Division842010102822642101000151054210001013121120.75028487600162427327018019223912235656216347714.89%30486.67%023742855.37%17838146.72%13829646.62%378206383171329164

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1823SOL16911818761556018711035410
All Games
GPWLOTWOTL SOWSOLGFGA
189610116960
Home Games
GPWLOTWOTL SOWSOLGFGA
94310013934
Visitor Games
GPWLOTWOTL SOWSOLGFGA
95300103026
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
851618.82%53786.79%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
180192239121624273
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23742855.37%17838146.72%13829646.62%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
378206383171329164


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 - 2021-11-304Punishers3Little Stars5BWR1BoxScore
4 - 2021-12-0317Little Stars1Rampage4ALBoxScore
8 - 2021-12-0736Marlies4Little Stars2BLBoxScore
9 - 2021-12-0839Little Stars2Punishers1AWR1BoxScore
13 - 2021-12-1260Comets1Little Stars5BWBoxScore
16 - 2021-12-1574Little Stars3Crunch2AWBoxScore
19 - 2021-12-1889Rampage2Little Stars3BWXR1BoxScore
21 - 2021-12-20101Little Stars4Comets3AWXXBoxScore
24 - 2021-12-23115Sound Tigers4Little Stars8BWBoxScore
26 - 2021-12-25125Little Stars6Rampage4AWR1BoxScore
28 - 2021-12-27140Bears4Little Stars5BWBoxScore
30 - 2021-12-29152Little Stars5Moose2AWBoxScore
32 - 2021-12-31163Comets4Little Stars2BLR1BoxScore
35 - 2022-01-03178Little Stars3Marlies5ALBoxScore
37 - 2022-01-05187Little Stars2Eagles3ALBoxScore
39 - 2022-01-07199Wolves7Little Stars5BLBoxScore
41 - 2022-01-09214Little Stars4Eagles2AWBoxScore
43 - 2022-01-11226Griffins5Little Stars4BLXXBoxScore
45 - 2022-01-13234Little Stars-Heat-
47 - 2022-01-15247Penguins-Little Stars-
51 - 2022-01-19271Penguins-Little Stars-
53 - 2022-01-21278Little Stars-Monsters-
56 - 2022-01-24294Little Stars-Wolves-
57 - 2022-01-25301Marlies-Little Stars-
61 - 2022-01-29319Little Stars-Admirals-
62 - 2022-01-30329Condors-Little Stars-
66 - 2022-02-03347Little Stars-Bears-
67 - 2022-02-04354Wolfpack-Little Stars-
70 - 2022-02-07373Little Stars-Icehogs-
72 - 2022-02-09382Comets-Little Stars-
74 - 2022-02-11394Little Stars-Barracuda-
76 - 2022-02-13404Bears-Little Stars-
79 - 2022-02-16422Little Stars-Senators-
81 - 2022-02-18430Little Stars-Reign-
83 - 2022-02-20435Senators-Little Stars-
87 - 2022-02-24455Rocket-Little Stars-
90 - 2022-02-27473Little Stars-Crunch-
92 - 2022-03-01483Little Stars-Rampage-
93 - 2022-03-02487Phantoms-Little Stars-
96 - 2022-03-05508Barracuda-Little Stars-
98 - 2022-03-07513Little Stars-Sound Tigers-
100 - 2022-03-09523Little Stars-Condors-
102 - 2022-03-11532Little Stars-Rampage-
104 - 2022-03-13541Admirals-Little Stars-
108 - 2022-03-17562Little Stars-Penguins-
110 - 2022-03-19568Devils-Little Stars-
113 - 2022-03-22586Little Stars-Punishers-
115 - 2022-03-24591Little Stars-Wolfpack-
116 - 2022-03-25597Wolves-Little Stars-
120 - 2022-03-29618Eagles-Little Stars-
122 - 2022-03-31630Little Stars-Thunderbirds-
125 - 2022-04-03646Heat-Little Stars-
128 - 2022-04-06664Little Stars-Punishers-
129 - 2022-04-07672Moose-Little Stars-
131 - 2022-04-09685Little Stars-Griffins-
133 - 2022-04-11696Rampage-Little Stars-
136 - 2022-04-14709Little Stars-Rocket-
138 - 2022-04-16721Icehogs-Little Stars-
140 - 2022-04-18734Little Stars-Crunch-
142 - 2022-04-20748Eagles-Little Stars-
146 - 2022-04-24768Little Stars-Marlies-
148 - 2022-04-26778Marlies-Little Stars-
151 - 2022-04-29798Rampage-Little Stars-
153 - 2022-05-01803Little Stars-Phantoms-
156 - 2022-05-04823Monsters-Little Stars-
157 - 2022-05-05830Little Stars-Wolfpack-
160 - 2022-05-08851Punishers-Little Stars-
Trade Deadline --- Trades can’t be done after this day is simulated!
162 - 2022-05-10856Little Stars-Devils-
165 - 2022-05-13876Crunch-Little Stars-
166 - 2022-05-14882Little Stars-Devils-
171 - 2022-05-19904Punishers-Little Stars-
176 - 2022-05-24927Reign-Little Stars-
177 - 2022-05-25934Little Stars-Moose-
179 - 2022-05-27945Little Stars-Comets-
181 - 2022-05-29954Little Stars-Moose-
183 - 2022-05-31960Sound Tigers-Little Stars-
186 - 2022-06-03979Little Stars-Comets-
188 - 2022-06-05987Sound Tigers-Little Stars-
193 - 2022-06-101013Thunderbirds-Little Stars-
199 - 2022-06-161036Thunderbirds-Little Stars-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance17,2988,539
Attendance PCT96.10%94.88%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 2871 - 95.69% 85,577$770,190$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
633,080$ 1,800,000$ 1,382,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,000$ 413,080$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,652,877$ 156 14,000$ 2,184,000$




Little Stars 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 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