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Little Stars
GP: 15 | W: 6 | L: 6 | OTL: 3 | P: 15
GF: 53 | GA: 62 | PP%: 26.42% | PK%: 78.26%
DG: Francois Cloutier | Morale : 36 | Moyenne d’équipe : 64
Prochains matchs #199 vs Senators

Centre de jeu
Roadrunners
6-7-2, 14pts
1
4 Little Stars
6-6-3, 15pts
Team Stats
L1SéquenceL1
4-4-0Fiche domicile3-4-1
2-3-2Fiche domicile3-2-2
4-5-1Derniers 10 matchs4-4-2
3.60Buts par match 3.53
4.33Buts contre par match 4.13
28.57%Pourcentage en avantage numérique26.42%
87.27%Pourcentage en désavantage numérique78.26%
Senators
10-4-1, 21pts
5
2 Little Stars
6-6-3, 15pts
Team Stats
W1SéquenceL1
4-3-0Fiche domicile3-4-1
6-1-1Fiche domicile3-2-2
6-4-0Derniers 10 matchs4-4-2
5.27Buts par match 3.53
4.40Buts contre par match 4.13
30.43%Pourcentage en avantage numérique26.42%
71.43%Pourcentage en désavantage numérique78.26%
Little Stars
6-6-3, 15pts
Jour 33
Senators
10-4-1, 21pts
Statistiques d’équipe
L1SéquenceW1
3-4-1Fiche domicile4-3-0
3-2-2Fiche visiteur6-1-1
4-4-210 derniers matchs6-4-0
3.53Buts par match 5.27
4.13Buts contre par match 5.27
26.42%Pourcentage en avantage numérique30.43%
78.26%Pourcentage en désavantage numérique71.43%
Little Stars
6-6-3, 15pts
Jour 35
Griffins
9-4-1, 19pts
Statistiques d’équipe
L1SéquenceW1
3-4-1Fiche domicile6-2-0
3-2-2Fiche visiteur3-2-1
4-4-210 derniers matchs6-3-1
3.53Buts par match 4.14
4.13Buts contre par match 4.14
26.42%Pourcentage en avantage numérique9.26%
78.26%Pourcentage en désavantage numérique87.23%
Roadrunners
6-7-2, 14pts
Jour 36
Little Stars
6-6-3, 15pts
Statistiques d’équipe
L1SéquenceL1
4-4-0Fiche domicile3-4-1
2-3-2Fiche visiteur3-2-2
4-5-110 derniers matchs4-4-2
3.60Buts par match 3.53
4.33Buts contre par match 3.53
28.57%Pourcentage en avantage numérique26.42%
87.27%Pourcentage en désavantage numérique78.26%
Meneurs d'équipe
Buts
Jonathan Dahlen
8
Passes
Samuel Girard
16
Points
Samuel Girard
19
Plus/Moins
Lawrence Pilut
2
Victoires
Danil Tarasov
4
Pourcentage d’arrêts
Ilya Konovalov
0.913

Statistiques d’équipe
Buts pour
53
3.53 GFG
Tirs pour
483
32.20 Avg
Pourcentage en avantage numérique
26.4%
14 GF
Début de zone offensive
35.3%
Buts contre
62
4.13 GAA
Tirs contre
501
33.40 Avg
Pourcentage en désavantage numérique
78.3%%
15 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralFrancois Cloutier
EntraîneurMike Yeo
DivisionFritz-Kraatz
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,770
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matt Luff (R)X100.006835827881727264737683607257514440710232995,000$
2Filip Chytil (R)X100.006644817275716676717470597046445740690212700,000$
3Radel Fazleev (R)X100.005837797462747271797974525248493230680242600,000$
4Jonathan Dahlen (R)X100.006625737660646178716874637249483940680231650,000$
5Cal Burke (R)X100.006850837463726364667868517048524840670231600,000$
6Aidan Mcdonough (R)X100.007743805679686171737579486745446540670211500,000$
7Alexis Lafreniere (R)X100.008646726880578167566567605943428040650192500,000$
8Jean-Christophe Beaudin (R)X100.006029706759646971697766515947474240640231600,000$
9Joey Anderson (R)X100.006446737271606763686168646344444740640222600,000$
10Givani Smith (R)X100.007453647074568368577065585544444532640222600,000$
11Rudolfs Balcers (R)X100.006440726658706060676374546845453740630231600,000$
12Yakov Trenin (R)X100.007042696671655769606460476445453240610231250,000$
13Wiley ShermanX100.0073388982748781787179748173755041307702522,000,000$
14Samuel Girard (R)X100.0069278279777577815287687258634750407402221,200,000$
15Alexander Nikishin (R)X100.007445586475725056335958594640407140620182500,000$
16Shakir Mukhamadullin (R)X100.006041706263635960385943575140407740580182500,000$
17Victor Soderstrom (R)X100.005025746656455969337144613541416440580191500,000$
18Eemil Viro (R)X100.006329605453565362316246545040406528550182500,000$
Rayé
1Jason DickinsonX100.007833817275767874797677658061534132730251900,000$
2Shane Gersich (R)X100.007140847668767982828576506058544232730241950,000$
3Jack McBain (R)X100.007241606168587563617059525242426432600201500,000$
4Blade Jenkins (R)X100.006141686261616261565466585742425232590201500,000$
5Bulat Shafigullin (R)X100.005433736257576363575468405944434932570211500,000$
6Matteo Costantini (R)X100.005434675958545964524370366440408032550182500,000$
7Tyler Tullio (R)X100.005630665359554855526063415940406728540182500,000$
8Rhett Pitlick (R)X100.004731615950474367475854406241415625530191500,000$
9Connor Mackey (R)X95.726546807272707072546364736653533730680241700,000$
10Lawrence PilutX98.716838726667667468497262675953513715660251650,000$
MOYENNE D’ÉQUIPE99.80663873676765666859686656614845523564
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Danil Tarasov99.00745975847865616875608652466243690212700,000$
2Ilya Konovalov100.00646566686464636567616849495244640221500,000$
Rayé
1Michael Giugovaz100.00576757626555715554596947473132600251250,000$
MOYENNE D’ÉQUIPE99.6765646671696165636560744947484064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo61646867353766CAN441800,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Samuel GirardLittle Stars (Dal)D1531619-58021305711225.26%2142228.14246847022461010%01314000.9000000200
2Ilya MikheyevStarsRW1451116-6120181540222012.50%1429220.882573420000231141.33%7593001.0902000002
3Jonathan DahlenLittle Stars (Dal)LW158816-4220232552113015.38%929619.7824611381011311136.36%2295001.0822000011
4Filip ChytilLittle Stars (Dal)C158715-42023234162219.51%1030720.514379380001382046.72%381810000.9822000202
5Matt LuffLittle Stars (Dal)RW15279-1602410316236.45%523915.98011330000090062.50%873000.7502000010
6Jason DickinsonLittle Stars (Dal)C644802071321121119.05%613823.142244171011220055.03%14914001.1500000011
7Shane GersichLittle Stars (Dal)LW644800016627111914.81%112420.821236170001100041.67%1261001.2800000110
8Jean-Christophe BeaudinLittle Stars (Dal)C15257-320129266117.69%51489.88000000001120156.72%6742000.9400000010
9Radel FazleevLittle Stars (Dal)C15527180232435161614.29%621414.290002160001190150.74%136124000.6501000000
10Lawrence PilutLittle Stars (Dal)D1324622151519187311.11%1724618.99000026000131000%065000.4900000000
11Alexis LafreniereLittle Stars (Dal)LW15336-2002014165818.75%418812.5500000000022000%430000.6400000100
12Cal BurkeLittle Stars (Dal)RW15246-120913319246.45%317911.9500002000020035.71%1470000.6700000000
13Alexander NikishinLittle Stars (Dal)D15055-2180232111450%1532421.61011129000047000%0010000.3100000000
14Connor MackeyLittle Stars (Dal)D10134-44092314567.14%1727727.77123334000239100%007000.2900000000
15Rudolfs BalcersLittle Stars (Dal)LW15033-100654250%0724.800000000002000%341000.8300000000
16Yakov TreninLittle Stars (Dal)C1512306010461716.67%2805.34000000110120062.50%3203000.7500000000
17Joey AndersonLittle Stars (Dal)RW1520204068182511.11%2835.59000010000000100.00%233000.4800000000
18Victor SoderstromLittle Stars (Dal)D15022-61206113350%921614.4201106000012000%028000.1800000000
19Aidan McdonoughLittle Stars (Dal)LW150220601418205130%622515.030000180001180060.00%1021000.1800000000
20Givani SmithLittle Stars (Dal)RW7011-120226370%0446.330000000000000%000000.4500000000
21Shakir MukhamadullinLittle Stars (Dal)D15000-46014104330%1123215.4700016000025000%001100000000000
22Jack McBainLittle Stars (Dal)C6000100000000%030.560000000000000%00000000000000
23Eemil ViroLittle Stars (Dal)D2000260310000%12311.920000000001000%00000000000000
24Matteo CostantiniLittle Stars (Dal)C6000000000000%010.170000000000000%10000000000000
25Wiley ShermanLittle Stars (Dal)D1000-200112220%62727.600000000005000%00100000000000
Statistiques d’équipe totales ou en moyenne2965293145-40149530530548315226710.77%170441014.9014253951376235144515549.02%9169696000.6649000656
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Danil TarasovLittle Stars (Dal)124530.8674.236810048362184310.5569123001
2Ilya KonovalovLittle Stars (Dal)42100.9133.162280012138770000312010
Statistiques d’équipe totales ou en moyenne166630.8803.9690900605002613191515011


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aidan McdonoughLittle Stars (Dal)LW211999-01-01CANYes205 Lbs6 ft2NoNoTrade2024-08-21NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Alexander NikishinLittle Stars (Dal)D182002-01-01RUSYes196 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Alexis LafreniereLittle Stars (Dal)LW192001-01-01CANYes193 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-17FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Blade JenkinsLittle Stars (Dal)LW202000-01-01USAYes200 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Bulat ShafigullinLittle Stars (Dal)LW211999-01-01RUSYes182 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Cal BurkeLittle Stars (Dal)RW231997-01-01CANYes185 Lbs5 ft10NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Connor MackeyLittle Stars (Dal)D241996-01-01USAYes190 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm700,000$567,456$0$0$No---------------------------Lien
Danil TarasovLittle Stars (Dal)G211999-01-01RUSNo196 Lbs6 ft6NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Lien
Eemil ViroLittle Stars (Dal)D182002-01-01FINYes168 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Filip ChytilLittle Stars (Dal)C211999-01-01CZEYes210 Lbs6 ft3NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Lien
Givani SmithLittle Stars (Dal)RW221998-01-01CANYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$486,391$0$0$No625,000$--------525,000$--------No--------Lien
Ilya KonovalovLittle Stars (Dal)G221998-01-01RUSNo203 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Jack McBainLittle Stars (Dal)C202000-01-01CANYes201 Lbs6 ft3NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Jason DickinsonLittle Stars (Dal)C251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Jean-Christophe BeaudinLittle Stars (Dal)C231997-01-01CANYes196 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Joey AndersonLittle Stars (Dal)RW221998-01-01USAYes190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$486,391$0$0$No625,000$--------525,000$--------No--------Lien
Jonathan DahlenLittle Stars (Dal)LW231997-01-01SWEYes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$526,923$0$0$No---------------------------Lien
Lawrence PilutLittle Stars (Dal)D251995-01-01SWENo194 Lbs5 ft11NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm650,000$526,923$0$0$No---------------------------Lien
Matt LuffLittle Stars (Dal)RW231997-01-01CANYes190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm995,000$806,598$0$0$No1,250,000$--------750,000$--------No--------Lien
Matteo CostantiniLittle Stars (Dal)C182002-01-01CANYes174 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Michael GiugovazLittle Stars (Dal)G251995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm250,000$202,663$0$0$No---------------------------Lien
Radel FazleevLittle Stars (Dal)C241996-01-01RUSYes192 Lbs5 ft11NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm600,000$486,391$0$0$No600,000$--------600,000$--------No--------Lien
Rhett PitlickLittle Stars (Dal)LW192001-01-01USAYes170 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Rudolfs BalcersLittle Stars (Dal)LW231997-01-01LVAYes180 Lbs5 ft11NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Samuel GirardLittle Stars (Dal)D221998-01-01CANYes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$972,781$0$0$No1,800,000$--------800,000$--------No--------Lien
Shakir MukhamadullinLittle Stars (Dal)D182002-01-01RUSYes178 Lbs6 ft5NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Shane GersichLittle Stars (Dal)LW241996-01-01USAYes175 Lbs5 ft11NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Tyler TullioLittle Stars (Dal)RW182002-01-01CANYes176 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Victor SoderstromLittle Stars (Dal)D192001-01-01SWEYes183 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Wiley ShermanLittle Stars (Dal)D251995-01-01USANo185 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$1,621,302$0$0$No2,500,000$--------975,000$--------No--------Lien
Yakov TreninLittle Stars (Dal)C231997-01-01RUSYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm250,000$202,663$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3121.58188 Lbs6 ft11.45646,613$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenFilip ChytilMatt Luff40122
2Aidan McdonoughRadel FazleevCal Burke30122
3Alexis LafreniereJean-Christophe BeaudinJoey Anderson20122
4Rudolfs BalcersYakov TreninGivani Smith10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanSamuel Girard40122
2Alexander NikishinShakir Mukhamadullin30122
3Victor SoderstromEemil Viro20122
4Wiley ShermanSamuel Girard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenFilip ChytilMatt Luff60122
2Aidan McdonoughRadel FazleevCal Burke40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanSamuel Girard60122
2Alexander NikishinShakir Mukhamadullin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip ChytilJonathan Dahlen60122
2Radel FazleevAidan Mcdonough40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanSamuel Girard60122
2Alexander NikishinShakir Mukhamadullin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Filip Chytil60122Wiley ShermanSamuel Girard60122
2Radel Fazleev40122Alexander NikishinShakir Mukhamadullin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip ChytilJonathan Dahlen60122
2Radel FazleevAidan Mcdonough40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanSamuel Girard60122
2Alexander NikishinShakir Mukhamadullin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenFilip ChytilMatt LuffWiley ShermanSamuel Girard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenFilip ChytilMatt LuffWiley ShermanSamuel Girard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cal Burke, Aidan Mcdonough, Alexis LafreniereCal Burke, Aidan McdonoughCal Burke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Shakir Mukhamadullin, Victor Soderstrom, Eemil ViroShakir MukhamadullinShakir Mukhamadullin, Victor Soderstrom
Tirs de pénalité
Matt Luff, Filip Chytil, Jonathan Dahlen, Radel Fazleev, Cal Burke
Gardien
#1 : Danil Tarasov, #2 : Ilya Konovalov
Lignes d’attaque personnalisées en prolongation
Matt Luff, Filip Chytil, Jonathan Dahlen, Radel Fazleev, Cal Burke, Aidan Mcdonough, Alexis Lafreniere, Joey Anderson, Givani Smith, Jean-Christophe Beaudin
Lignes de défense personnalisées en prolongation
Wiley Sherman, Samuel Girard, Alexander Nikishin, Shakir Mukhamadullin, Victor Soderstrom


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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
1Americans310001011112-11000000156-12100010066040.66711203100142018493150162170108534206710220.00%10190.00%015632248.45%17234849.43%12124150.21%312173325142272131
2Islander413000001119-820200000410-62110000079-220.250112031001420184131150162170101424738611300.00%19668.42%115632248.45%17234849.43%12124150.21%312173325142272131
3Moose11000000422000000000001100000042221.00046100014201842715016217010301012214125.00%60100.00%115632248.45%17234849.43%12124150.21%312173325142272131
4Punishers21100000880211000008800000000000020.500815230014201846615016217010581518458337.50%9277.78%015632248.45%17234849.43%12124150.21%312173325142272131
5Roadrunners11000000413110000004130000000000021.0004812001420184361501621701039186173133.33%30100.00%015632248.45%17234849.43%12124150.21%312173325142272131
6Senators402001101520-52010001057-2201001001013-330.3751524391014201841301501621701014746559515746.67%22672.73%015632248.45%17234849.43%12124150.21%312173325142272131
Total1556002115362-9824000112632-6732002002730-3150.500539314610142018448315016217010501170149306531426.42%691578.26%215632248.45%17234849.43%12124150.21%312173325142272131
_Since Last GM Reset1556002115362-9824000112632-6732002002730-3150.500539314610142018448315016217010501170149306531426.42%691578.26%215632248.45%17234849.43%12124150.21%312173325142272131
_Vs Conference1556002115362-9824000112632-6732002002730-3150.500539314610142018448315016217010501170149306531426.42%691578.26%215632248.45%17234849.43%12124150.21%312173325142272131
_Vs Division1125002113751-14503000111423-9622002002328-590.40937641011014201843541501621701037412711322338923.68%511374.51%115632248.45%17234849.43%12124150.21%312173325142272131

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1515L1539314648350117014930610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
155602115362
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82400112632
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73202002730
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
531426.42%691578.26%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
150162170101420184
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
15632248.45%17234849.43%12124150.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
312173325142272131


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
11Senators2Little Stars3WXXSommaire du match
316Little Stars5Senators6LXSommaire du match
534Islander4Little Stars1LSommaire du match
747Little Stars4Americans3WSommaire du match
961Islander6Little Stars3LSommaire du match
1172Little Stars4Moose2WSommaire du match
1386Americans6Little Stars5LXXSommaire du match
1490Little Stars5Senators7LSommaire du match
16102Little Stars5Islander3WSommaire du match
18117Little Stars2Islander6LSommaire du match
20124Little Stars2Americans3LXSommaire du match
21132Punishers5Little Stars3LR1Sommaire du match
24153Punishers3Little Stars5WSommaire du match
26168Roadrunners1Little Stars4WSommaire du match
31192Senators5Little Stars2LSommaire du match
33199Little Stars-Senators-
35213Little Stars-Griffins-
36221Roadrunners-Little Stars-
39238Little Stars-Bears-
41249Senators-Little Stars-
44266Little Stars-Checkers-
45276Checkers-Little Stars-
48293Little Stars-Condors-
49302Canucks-Little Stars-
52315Little Stars-Penguins-
54326Moose-Little Stars-
56345Little Stars-Icehogs-
57351Marlies-Little Stars-
60372Americans-Little Stars-
62383Little Stars-Canucks-
64398Canucks-Little Stars-
66410Little Stars-Senators-
68423Islander-Little Stars-
69432Little Stars-Islander-
71442Little Stars-Moose-
72455Gulls-Little Stars-
77479Admirals-Little Stars-
79492Little Stars-Roadrunners-
80504Little Stars-Punishers-
82511Icehogs-Little Stars-
85530Little Stars-Thunderbirds-
86536Admirals-Little Stars-
88552Little Stars-Icehogs-
89561Griffins-Little Stars-
92577Little Stars-Crunch-
94588Barracuda-Little Stars-
96602Little Stars-Condors-
97613Americans-Little Stars-
100625Little Stars-Crunch-
101637Punishers-Little Stars-
103652Little Stars-Firebirds-
104662Bears-Little Stars-
106672Little Stars-Wranglers-
109688Condors-Little Stars-
110696Little Stars-Americans-
113714Crunch-Little Stars-
115722Little Stars-Gulls-
117738Little Stars-Rockets-
119747Little Stars-Marlies-
120754Comets-Little Stars-
123772Wranglers-Little Stars-
124784Little Stars-Comets-
126793Little Stars-Barracuda-
127800Little Stars-Admirals-
128805Rockets-Little Stars-
132831Islander-Little Stars-
135850Little Stars-Wolfpack-
136856Firebirds-Little Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138870Little Stars-Marlies-
140882Senators-Little Stars-
143900Little Stars-Americans-
144908Penguins-Little Stars-
146915Little Stars-Eagles-
147922Little Stars-Bears-
149935Thunderbirds-Little Stars-
153957Little Stars-Moose-
154962Thunderbirds-Little Stars-
158988Firebirds-Little Stars-
1621011Eagles-Little Stars-
1651028Wolfpack-Little Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance14,8247,338
Assistance PCT92.65%91.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2770 - 92.34% 174,720$1,397,760$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
513,624$ 2,004,500$ 2,004,500$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,861$ 362,164$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,591,040$ 137 16,595$ 2,273,515$




Little Stars Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Little Stars Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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 Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA