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Little Stars
GP: 29 | W: 9 | L: 17 | OTL: 3 | P: 21
GF: 113 | GA: 141 | PP%: 20.19% | PK%: 79.25%
DG: Francois Cloutier | Morale : 27 | Moyenne d’équipe : 64
Prochains matchs #378 vs Checkers
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Centre de jeu
Rockets
13-14-3, 29pts
3
FINAL
2 Little Stars
9-17-3, 21pts
Team Stats
W1SéquenceOTL2
6-7-1Fiche domicile4-9-1
7-7-2Fiche domicile5-8-2
7-2-1Derniers 10 matchs4-4-2
3.77Buts par match 3.90
4.27Buts contre par match 4.86
21.26%Pourcentage en avantage numérique20.19%
75.42%Pourcentage en désavantage numérique79.25%
Little Stars
9-17-3, 21pts
3
FINAL
4 Penguins
14-11-2, 30pts
Team Stats
OTL2SéquenceOTW1
4-9-1Fiche domicile6-7-2
5-8-2Fiche domicile8-4-0
4-4-2Derniers 10 matchs4-4-2
3.90Buts par match 4.26
4.86Buts contre par match 4.07
20.19%Pourcentage en avantage numérique19.39%
79.25%Pourcentage en désavantage numérique81.82%
Checkers
14-12-3, 31pts
Jour 73
Little Stars
9-17-3, 21pts
Statistiques d’équipe
L3SéquenceOTL2
8-5-1Fiche domicile4-9-1
6-7-2Fiche visiteur5-8-2
4-5-110 derniers matchs4-4-2
4.31Buts par match 3.90
4.34Buts contre par match 3.90
20.49%Pourcentage en avantage numérique20.19%
86.79%Pourcentage en désavantage numérique79.25%
Little Stars
9-17-3, 21pts
Jour 77
Phantoms
13-12-3, 29pts
Statistiques d’équipe
OTL2SéquenceL1
4-9-1Fiche domicile7-7-1
5-8-2Fiche visiteur6-5-2
4-4-210 derniers matchs6-4-0
3.90Buts par match 4.21
4.86Buts contre par match 4.21
20.19%Pourcentage en avantage numérique26.96%
79.25%Pourcentage en désavantage numérique80.19%
Islander
15-13-3, 33pts
Jour 79
Little Stars
9-17-3, 21pts
Statistiques d’équipe
L1SéquenceOTL2
5-8-1Fiche domicile4-9-1
10-5-2Fiche visiteur5-8-2
3-5-210 derniers matchs4-4-2
3.61Buts par match 3.90
3.68Buts contre par match 3.90
21.55%Pourcentage en avantage numérique20.19%
75.36%Pourcentage en désavantage numérique79.25%
Meneurs d'équipe
Buts
Shane Gersich
22
Passes
Daniel O'regan
28
Points
Shane Gersich
43
Plus/Moins
Victor Soderstrom
7
Victoires
Danil Tarasov
7
Pourcentage d’arrêts
Danil Tarasov
0.859

Statistiques d’équipe
Buts pour
113
3.90 GFG
Tirs pour
934
32.21 Avg
Pourcentage en avantage numérique
20.2%
21 GF
Début de zone offensive
35.0%
Buts contre
141
4.86 GAA
Tirs contre
976
33.66 Avg
Pourcentage en désavantage numérique
79.2%%
22 GA
Début de la zone défensive
36.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,750
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 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)X100.007849807375798073767973697669623624740251975,000$
2Daniel O'regan (R)X100.007328807172788175778575636572573324730251950,000$
3Jason Dickinson (R)X100.007433807071727571787475627955514534700241850,000$
4Shane Gersich (R)X100.006840837463737682808373485949484634700231900,000$
5Matt Luff (R)X100.006735807679696965717384577252494834700223900,000$
6Emile Poirier (R)X100.005833847277707066676881577551503228680251750,000$
7Justin Auger (R)X100.006029826469757164697677537150523334670251700,000$
8Filip Chytil (R)X100.006444796872686473687067556743436334660203700,000$
9Radel Fazleev (R)X100.005637787359737069787873505447463534660233600,000$
10Jonathan Dahlen (R)X100.006025717654585576696572607046464334650222575,000$
11Aidan Mcdonough (R)X100.007543785077655871707477436544427134650202500,000$
12Cal Burke (R)X100.006650817260706063637566486847505334640221500,000$
13Joey Anderson (R)X100.006345716969576560666067626043435330620213550,000$
14Givani Smith (R)X100.007250626672548166566763565343435120620213550,000$
15Jean-Christophe Beaudin (R)X100.005726696455626669677364505746464820610221250,000$
16Rudolfs Balcers (R)X100.006339716356685958656272536644444219610221300,000$
17Yakov Trenin (R)X100.006839686369645567596258456244443620590222250,000$
18Jack McBain (R)X100.007139556067557462586857515041417220580191500,000$
19Blade Jenkins (R)X100.005838666057586057555364555541415920570191500,000$
20Reece Willcox (R)X100.007330787976738069547565776670543539730251900,000$
21Samuel Girard (R)X100.006527807673737379498764705454465534710213900,000$
22Tucker PoolmanX100.007333757573686969667157706364573334690261850,000$
23Ville Pokka (R)X100.007138777567706868506863715553533534680251650,000$
24Connor Mackey (R)X100.006346786971697170506162706449514035660232700,000$
25Lawrence Pilut (R)X100.006838716265647269497161635951484034640241550,000$
Rayé
1Bulat Shafigullin (R)X100.005332715956566161545265385743425520550201500,000$
2Rhett Pitlick (R)X100.004529605647454064445652386040406320500182500,000$
3Victor Soderstrom (R)X100.004924736253435667316942593440407219560182500,000$
MOYENNE D’ÉQUIPE100.00653674686665676862706757625047472965
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 Tarasov100.00705471817659556471558345446942650203700,000$
2Ilya Konovalov (R)100.00616363636061606264586547475742610212500,000$
Rayé
1Michael Giugovaz100.00556556606354685351576846463526580242250,000$
MOYENNE D’ÉQUIPE100.0062616368665861606257724646543761
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo61646867353766CAN432800,000$


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
1Daniel O'reganLittle Stars (Dal)C27152843-21604557105306514.29%1860122.2629119782025841152.84%914109001.4322000164
2Shane GersichLittle Stars (Dal)LW25222143-41003227114378319.30%2156822.76651113700114771359.18%49309121.5101000423
3Jason DickinsonLittle Stars (Dal)C29101929-3120555368274414.71%1650517.411678731012451056.23%345126001.1500000011
4Samuel GirardLittle Stars (Dal)D2942327-1212041686131276.56%4479827.544371497000296100%02633000.6800000010
5Matt LuffLittle Stars (Dal)RW291212240100392871224516.90%1254618.832571086000001170.00%40127000.8801000011
6Jonathan DahlenLittle Stars (Dal)LW29101222-960273868133414.71%1238313.210223261121240037.50%8155001.1500000011
7Emile PoirierLittle Stars (Dal)LW255152004034295418309.26%1446218.501238690221570036.84%38127000.8600000001
8Filip ChytilLittle Stars (Dal)C2911718-1020322657162319.30%637312.870000100000230245.98%17426000.9600000000
9Justin AugerLittle Stars (Dal)RW296713-720293342103714.29%944515.37314362000080034.78%23134000.5800000000
10Cal BurkeLittle Stars (Dal)RW294711-13120141740162610.00%330310.4500000000001044.44%963000.7300000000
11Tucker PoolmanLittle Stars (Dal)D293710-718050493622168.33%3163621.94213372000059100%01117000.3100000000
12Ville PokkaLittle Stars (Dal)D29099-714036454013160%3759620.57011366011266000%0916000.3001000000
13Reece WillcoxLittle Stars (Dal)D22088-1030036504221120%3959527.06011575000161000%0828000.2701000000
14Aidan McdonoughLittle Stars (Dal)LW29437-86026132362017.39%72629.0700000000000042.86%795000.5300000100
15Connor MackeyLittle Stars (Dal)D29156-20155182822794.55%2842714.74011016000033000%0216000.2800001000
16Radel FazleevLittle Stars (Dal)C29336-118019125315245.66%42438.4000000000000058.59%99124000.4900000000
17Lawrence PilutLittle Stars (Dal)D29033-5260283011460%2036112.4700000000013000%0312000.1700000000
18Joey AndersonLittle Stars (Dal)RW25022-71152317138140%42028.120000300000000%114000.2000001000
19Jean-Christophe BeaudinLittle Stars (Dal)C21010003021050.00%0147.3200000000000020.00%512001.3700000001
20Victor SoderstromLittle Stars (Dal)D71017201430033.33%38211.750000000000100%003000.2400000001
21Ilya MikheyevLittle Stars (Dal)RW4000-3204340100%08120.43000012000000080.00%53000011000000
22Rudolfs BalcersLittle Stars (Dal)LW8000-320665520%0698.75000000000600100.00%21000000000000
Statistiques d’équipe totales ou en moyenne522112191303-1342201059863393432254311.99%328856316.4021375879824459186598753.00%1719198196120.713700261213
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)2371130.8594.6412410096683346200.2504209000
2Ilya KonovalovLittle Stars (Dal)132600.8505.2150700442931610000920000
Statistiques d’équipe totales ou en moyenne3691730.8574.801749001409765072042929000


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
Aidan McdonoughLittle Stars (Dal)LW201999-01-01Yes205 Lbs6 ft2NoNoTrade2024-08-21NoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Blade JenkinsLittle Stars (Dal)LW192000-01-01Yes200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Bulat ShafigullinLittle Stars (Dal)LW201999-01-01Yes182 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Cal BurkeLittle Stars (Dal)RW221997-01-01Yes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Connor MackeyLittle Stars (Dal)D231996-01-01Yes190 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm700,000$450,495$0$0$No700,000$--------No--------
Daniel O'reganLittle Stars (Dal)C251994-01-01Yes169 Lbs5 ft9NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm950,000$611,386$0$0$No------------------
Danil TarasovLittle Stars (Dal)G201999-01-01No196 Lbs6 ft6NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm700,000$450,495$0$0$No700,000$700,000$-------NoNo-------
Emile PoirierLittle Stars (Dal)LW251994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$482,673$0$0$No------------------
Filip ChytilLittle Stars (Dal)C201999-01-01Yes210 Lbs6 ft3NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm700,000$450,495$0$0$No700,000$700,000$-------NoNo-------
Givani SmithLittle Stars (Dal)RW211998-01-01Yes205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm550,000$353,960$0$0$No600,000$625,000$-------NoNo-------
Ilya KonovalovLittle Stars (Dal)G211998-01-01Yes203 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Ilya MikheyevLittle Stars (Dal)RW251994-01-01Yes195 Lbs6 ft3NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm975,000$627,475$0$0$No------------------
Jack McBainLittle Stars (Dal)C192000-01-01Yes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Jason DickinsonLittle Stars (Dal)C241995-01-01Yes185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm850,000$547,030$0$0$No------------------
Jean-Christophe BeaudinLittle Stars (Dal)C221997-01-01Yes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm250,000$160,891$0$0$No------------------
Joey AndersonLittle Stars (Dal)RW211998-01-01Yes190 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm550,000$353,960$0$0$No600,000$625,000$-------NoNo-------
Jonathan DahlenLittle Stars (Dal)LW221997-01-01Yes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm575,000$370,050$0$0$No650,000$--------No--------
Justin AugerLittle Stars (Dal)RW251994-01-01Yes185 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm700,000$450,495$0$0$No------------------
Lawrence PilutLittle Stars (Dal)D241995-01-01Yes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm550,000$353,960$0$0$No------------------
Matt LuffLittle Stars (Dal)RW221997-01-01Yes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$579,208$0$0$No995,000$1,250,000$-------NoNo-------
Michael GiugovazLittle Stars (Dal)G241995-01-01No185 Lbs6 ft0NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm250,000$160,891$0$0$No250,000$--------No--------
Radel FazleevLittle Stars (Dal)C231996-01-01Yes192 Lbs5 ft11NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm600,000$386,139$0$0$No600,000$600,000$-------NoNo-------
Reece WillcoxLittle Stars (Dal)D251994-01-01Yes184 Lbs6 ft3NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm900,000$579,208$0$0$No------------------
Rhett PitlickLittle Stars (Dal)LW182001-01-01Yes170 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Rudolfs BalcersLittle Stars (Dal)LW221997-01-01Yes180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm300,000$193,069$0$0$No------------------
Samuel GirardLittle Stars (Dal)D211998-01-01Yes170 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm900,000$579,208$0$0$No1,200,000$1,800,000$-------NoNo-------
Shane GersichLittle Stars (Dal)LW231996-01-01Yes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$579,208$0$0$No------------------
Tucker PoolmanLittle Stars (Dal)D261993-01-01No185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm850,000$547,030$0$0$No------------------
Victor SoderstromLittle Stars (Dal)D182001-01-01Yes183 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Ville PokkaLittle Stars (Dal)D251994-01-01Yes205 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$418,317$0$0$No------------------
Yakov TreninLittle Stars (Dal)C221997-01-01Yes201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm250,000$160,891$0$0$No250,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.16190 Lbs6 ft11.71622,581$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shane GersichDaniel O'reganIlya Mikheyev40122
2Emile PoirierJason DickinsonMatt Luff30122
3Jonathan DahlenFilip ChytilJustin Auger20122
4Aidan McdonoughRadel FazleevCal Burke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard40122
2Tucker PoolmanVille Pokka30122
3Connor MackeyLawrence Pilut20122
4Reece WillcoxSamuel Girard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shane GersichDaniel O'reganIlya Mikheyev60023
2Emile PoirierJason DickinsonMatt Luff40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard60122
2Tucker PoolmanVille Pokka40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Daniel O'reganShane Gersich60122
2Jason DickinsonEmile Poirier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard60032
2Tucker PoolmanVille Pokka40032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Daniel O'regan60122Reece WillcoxSamuel Girard60032
2Jason Dickinson40122Tucker PoolmanVille Pokka40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel O'reganShane Gersich60023
2Jason DickinsonEmile Poirier40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard60122
2Tucker PoolmanVille Pokka40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shane GersichDaniel O'reganIlya MikheyevReece WillcoxSamuel Girard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shane GersichDaniel O'reganIlya MikheyevReece WillcoxSamuel Girard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jason Dickinson, Emile Poirier, Justin AugerJason Dickinson, Emile PoirierJason Dickinson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ville Pokka, Connor Mackey, Lawrence PilutVille PokkaVille Pokka, Connor Mackey
Tirs de pénalité
Ilya Mikheyev, Daniel O'regan, Matt Luff, Shane Gersich, Jason Dickinson
Gardien
#1 : Danil Tarasov, #2 : Ilya Konovalov
Lignes d’attaque personnalisées en prolongation
Ilya Mikheyev, Daniel O'regan, Matt Luff, Shane Gersich, Jason Dickinson, Emile Poirier, Emile Poirier, Justin Auger, Filip Chytil, Radel Fazleev, Jonathan Dahlen
Lignes de défense personnalisées en prolongation
Reece Willcox, Samuel Girard, Tucker Poolman, Ville Pokka, Connor Mackey


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
1Americans1010000027-5000000000001010000027-500.00023500234940337285345299103711617200.00%330.00%034459757.62%31062449.68%25748353.21%611344625269516258
2Barracuda1010000035-21010000035-20000000000000.000369002349403372853452991032178293133.33%4175.00%034459757.62%31062449.68%25748353.21%611344625269516258
3Canucks321000001717011000000541211000001213-140.66717284500234940310028534529910984518628112.50%9277.78%034459757.62%31062449.68%25748353.21%611344625269516258
4Checkers2200000012932200000012930000000000041.0001223350023494037328534529910592212379222.22%6266.67%134459757.62%31062449.68%25748353.21%611344625269516258
5Comets2020000069-31010000046-21010000023-100.0006915002349403692853452991075191646200.00%90100.00%134459757.62%31062449.68%25748353.21%611344625269516258
6Icehogs1010000034-11010000034-10000000000000.000358002349403272853452991034211225300.00%60100.00%134459757.62%31062449.68%25748353.21%611344625269516258
7Islander2100001010820000000000021000010108241.0001016260023494036928534529910581920457114.29%10190.00%034459757.62%31062449.68%25748353.21%611344625269516258
8Marlies11000000835110000008350000000000021.00081119002349403392853452991027110319333.33%000%034459757.62%31062449.68%25748353.21%611344625269516258
9Moose2110000089-1000000000002110000089-120.50081321002349403672853452991070211542600.00%5260.00%034459757.62%31062449.68%25748353.21%611344625269516258
10Penguins1000010034-1000000000001000010034-110.500369002349403422853452991042122144125.00%110.00%034459757.62%31062449.68%25748353.21%611344625269516258
11Punishers303000001216-42020000079-21010000057-200.00012233500234940385285345299101064028641119.09%13376.92%034459757.62%31062449.68%25748353.21%611344625269516258
12Rockets2010010049-51000010023-11010000026-410.25047110023494035828534529910631918427228.57%9366.67%034459757.62%31062449.68%25748353.21%611344625269516258
13Senators20100001613-70000000000020100001613-710.25069150023494036528534529910792017319333.33%6183.33%034459757.62%31062449.68%25748353.21%611344625269516258
14Thunderbirds30300000715-820200000510-51010000025-300.0007121900234940381285345299109030226116425.00%11372.73%134459757.62%31062449.68%25748353.21%611344625269516258
15Wolfpack2020000058-32020000058-30000000000000.00058130023494035228534529910721518325120.00%100100.00%034459757.62%31062449.68%25748353.21%611344625269516258
16Wranglers11000000752000000000001100000075221.0007121900234940333285345299103468203133.33%40100.00%034459757.62%31062449.68%25748353.21%611344625269516258
Total2981700211113141-281449001005461-71548001115980-21210.362113191304002349403934285345299109763282205981042120.19%1062279.25%434459757.62%31062449.68%25748353.21%611344625269516258
_Since Last GM Reset2981700211113141-281449001005461-71548001115980-21210.362113191304002349403934285345299109763282205981042120.19%1062279.25%434459757.62%31062449.68%25748353.21%611344625269516258
_Vs Conference18511001107286-141037000003846-8824001103440-6130.3617212519700234940357128534529910600202136361621117.74%691282.61%334459757.62%31062449.68%25748353.21%611344625269516258
_Vs Division927000003648-12514000001723-6413000001925-640.222366399002349403266285345299102941156818735617.14%33875.76%134459757.62%31062449.68%25748353.21%611344625269516258

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2921OTL211319130493497632822059800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
298170211113141
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
144901005461
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
154801115980
Derniers 10 matchs
WLOTWOTL SOWSOL
340210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1042120.19%1062279.25%4
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
285345299102349403
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
34459757.62%31062449.68%25748353.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
611344625269516258


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
12Marlies3Little Stars8WSommaire du match
413Little Stars2Moose6LSommaire du match
838Thunderbirds6Little Stars4LR1Sommaire du match
1047Little Stars2Thunderbirds5LSommaire du match
1465Checkers5Little Stars6WSommaire du match
1782Canucks4Little Stars5WR1Sommaire du match
1888Little Stars5Punishers7LR1Sommaire du match
21103Little Stars7Canucks10LSommaire du match
23116Punishers5Little Stars4LR1Sommaire du match
27136Wolfpack5Little Stars3LSommaire du match
29146Little Stars6Moose3WSommaire du match
31160Thunderbirds4Little Stars1LR1Sommaire du match
33175Little Stars5Canucks3WSommaire du match
36187Punishers4Little Stars3LR1Sommaire du match
38197Little Stars1Senators7LSommaire du match
41213Wolfpack3Little Stars2LSommaire du match
44224Little Stars5Senators6LXXSommaire du match
47235Little Stars2Comets3LSommaire du match
49245Comets6Little Stars4LSommaire du match
51261Little Stars2Americans7LSommaire du match
54271Checkers4Little Stars6WSommaire du match
56286Little Stars4Islander3WXXSommaire du match
58294Little Stars7Wranglers5WSommaire du match
60301Icehogs4Little Stars3LSommaire du match
62313Little Stars6Islander5WSommaire du match
64326Barracuda5Little Stars3LSommaire du match
66335Little Stars2Rockets6LSommaire du match
68350Rockets3Little Stars2LXSommaire du match
71367Little Stars3Penguins4LXSommaire du match
73378Checkers-Little Stars-
77394Little Stars-Phantoms-
79404Islander-Little Stars-
82419Little Stars-Icehogs-
83431Condors-Little Stars-
88452Moose-Little Stars-
90460Little Stars-Moose-
92472Little Stars-Punishers-
94482Admirals-Little Stars-
96497Little Stars-Punishers-
99507Little Stars-Moose-
101514Americans-Little Stars-
105534Thunderbirds-Little Stars-
106543Little Stars-Barracuda-
109557Little Stars-Crunch-
111566Griffins-Little Stars-
113579Little Stars-Gulls-
116592Wranglers-Little Stars-
118602Little Stars-Eagles-
120616Eagles-Little Stars-
125638Little Stars-Checkers-
126645Punishers-Little Stars-
129663Senators-Little Stars-
131675Little Stars-Admirals-
132683Little Stars-Firebirds-
135697Bears-Little Stars-
137711Little Stars-Griffins-
139722Penguins-Little Stars-
141735Little Stars-Eagles-
143745Marlies-Little Stars-
145757Little Stars-Bears-
148772Little Stars-Condors-
149779Phantoms-Little Stars-
153799Gulls-Little Stars-
155812Little Stars-Bears-
156818Little Stars-Canucks-
159828Comets-Little Stars-
162850Canucks-Little Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166869Little Stars-Marlies-
168879Marlies-Little Stars-
171893Little Stars-Marlies-
173904Canucks-Little Stars-
175914Little Stars-Wolfpack-
177929Penguins-Little Stars-
181952Firebirds-Little Stars-
183958Little Stars-Wolfpack-
184964Little Stars-Thunderbirds-
188982Crunch-Little Stars-
190992Little Stars-Thunderbirds-
1931009Crunch-Little Stars-
1991033Firebirds-Little Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance25,79112,707
Assistance PCT92.11%90.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2750 - 91.66% 173,524$2,429,333$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
931,192$ 1,930,000$ 1,797,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,554$ 646,037$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,511,618$ 130 13,515$ 1,756,950$




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