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Little Stars
GP: 6 | W: 2 | L: 4
GF: 28 | GA: 25 | PP%: 13.04% | PK%: 85.00%
DG: Francois Cloutier | Morale : 13 | Moyenne d’équipe : 65
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Centre de jeu
Checkers
7-6-0, 14pts
7
FINAL
3 Little Stars
2-4-0, 4pts
Team Stats
OTL1SéquenceOTL1
3-4-0Fiche domicile1-2-0
4-2-0Fiche domicile1-2-0
5-4-1Derniers 10 matchs2-2-2
3.54Buts par match 4.67
4.00Buts contre par match 4.17
14.29%Pourcentage en avantage numérique13.04%
78.26%Pourcentage en désavantage numérique85.00%
Little Stars
2-4-0, 4pts
6
FINAL
7 Checkers
7-6-0, 14pts
Team Stats
OTL1SéquenceOTL1
1-2-0Fiche domicile3-4-0
1-2-0Fiche domicile4-2-0
2-2-2Derniers 10 matchs5-4-1
4.67Buts par match 3.54
4.17Buts contre par match 4.00
13.04%Pourcentage en avantage numérique14.29%
85.00%Pourcentage en désavantage numérique78.26%
Meneurs d'équipe
Buts
Joakim Nygard
4
Passes
Joakim Nygard
6
Points
Joakim Nygard
10
Plus/Moins
Collin Miller
6
Victoires
Michael Houser
2
Pourcentage d’arrêts
Michael Houser
0.92

Statistiques d’équipe
Buts pour
28
4.67 GFG
Tirs pour
209
34.83 Avg
Pourcentage en avantage numérique
13.0%
3 GF
Début de zone offensive
37.2%
Buts contre
25
4.17 GAA
Tirs contre
241
40.17 Avg
Pourcentage en désavantage numérique
85.0%%
3 GA
Début de la zone défensive
36.0%
Informations de l'équipe

Directeur généralFrancois Cloutier
EntraîneurMike Yeo
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,996
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 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
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$
Rayé
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$
MOYENNE D’ÉQUIPE99.64643674686666676862696758625047484465
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
1Michael Houser100.00708156746873708283666459564465720262995,000$
2Danil Tarasov100.00715068797554506169518142427658620191500,000$
Rayé
1Michael Giugovaz100.00536355585951675250566645454022560231250,000$
MOYENNE D’ÉQUIPE100.0065656070675962656758704948534863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo61646867353766CAN421750,000$


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
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
Statistiques d’équipe totales ou en moyenne108284876154551191052096311913.40%55186017.233581620900051342041.51%4364957000.8200001322
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
1Michael HouserLittle Stars (Dal)42200.9203.06216001113769100042110
2Danil TarasovLittle Stars (Dal)30020.8655.22161001410450000024000
Statistiques d’équipe totales ou en moyenne72220.8963.97378002524111910066110


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 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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Blade JenkinsLittle Stars (Dal)LW182000-01-01Yes200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Cal BurkeLittle Stars (Dal)RW211997-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
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 (sur la masse salariale)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--------Lien
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-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3022.13189 Lbs6 ft12.00615,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joakim NygardJason DickinsonIlya Mikheyev40122
2Shane GersichRadel FazleevMatt Luff30122
3Emile PoirierFilip ChytilJustin Auger20122
4Jonathan DahlenJean-Christophe BeaudinCal Burke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanCollin Miller40122
2Reece WillcoxTucker Poolman30122
3Samuel GirardVille Pokka20122
4Wiley ShermanCollin Miller10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joakim NygardJason DickinsonIlya Mikheyev60023
2Shane GersichRadel FazleevMatt Luff40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanCollin Miller60122
2Reece WillcoxTucker Poolman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jason DickinsonJoakim Nygard60122
2Radel FazleevShane Gersich40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanCollin Miller60032
2Reece WillcoxTucker Poolman40032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jason Dickinson60122Wiley ShermanCollin Miller60032
2Radel Fazleev40122Reece WillcoxTucker Poolman40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jason DickinsonJoakim Nygard60023
2Radel FazleevShane Gersich40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanCollin Miller60122
2Reece WillcoxTucker Poolman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joakim NygardJason DickinsonIlya MikheyevWiley ShermanCollin Miller
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joakim NygardJason DickinsonIlya MikheyevWiley ShermanCollin Miller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Luff, Emile Poirier, Justin AugerMatt Luff, Emile PoirierMatt Luff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Samuel Girard, Ville PokkaTucker PoolmanTucker Poolman, Samuel Girard
Tirs de pénalité
Ilya Mikheyev, Joakim Nygard, Jason Dickinson, Shane Gersich, Matt Luff
Gardien
#1 : Danil Tarasov, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
Ilya Mikheyev, Joakim Nygard, Jason Dickinson, Shane Gersich, Matt Luff, Emile Poirier, Emile Poirier, Justin Auger, Radel Fazleev, Jonathan Dahlen, Filip Chytil
Lignes de défense personnalisées en prolongation
Wiley Sherman, Collin Miller, Reece Willcox, Tucker Poolman, Samuel Girard


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
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 pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1284876209241554511900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002825
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001312
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001513
Derniers 10 matchs
WLOTWOTL SOWSOL
220200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23313.04%20385.00%0
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
886355381190
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
7216244.44%6915743.95%4011734.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
133761395610653


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
18Checkers4Little Stars3LSommaire du match
216Checkers1Little Stars7WSommaire du match
324Little Stars4Checkers5LXSommaire du match
432Little Stars5Checkers1WSommaire du match
540Checkers7Little Stars3LSommaire du match
648Little Stars6Checkers7LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance6,0002,987
Assistance PCT100.00%99.57%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 2996 - 99.86% 188,818$566,454$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,847,000$ 1,712,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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