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Little Stars
GP: 80 | W: 34 | L: 36 | OTL: 10 | P: 78
GF: 318 | GA: 339 | PP%: 20.42% | PK%: 82.08%
DG: Francois Cloutier | Morale : 26 | Moyenne d’équipe : 64

Centre de jeu
Crunch
39-31-10, 88pts
2
FINAL
7 Little Stars
34-36-10, 78pts
Team Stats
W1SéquenceL1
24-11-5Fiche domicile19-19-2
15-20-5Fiche domicile15-17-8
6-4-0Derniers 10 matchs5-4-1
3.75Buts par match 3.98
4.04Buts contre par match 4.24
19.24%Pourcentage en avantage numérique20.42%
80.85%Pourcentage en désavantage numérique82.08%
Firebirds
41-32-7, 89pts
6
FINAL
3 Little Stars
34-36-10, 78pts
Team Stats
W2SéquenceL1
20-19-1Fiche domicile19-19-2
21-13-6Fiche domicile15-17-8
6-3-1Derniers 10 matchs5-4-1
3.91Buts par match 3.98
3.86Buts contre par match 4.24
23.30%Pourcentage en avantage numérique20.42%
76.78%Pourcentage en désavantage numérique82.08%
Meneurs d'équipe
Buts
Shane Gersich
56
Passes
Daniel O'regan
72
Points
Shane Gersich
120
Plus/Moins
Victor Soderstrom
14
Victoires
Danil Tarasov
27
Pourcentage d’arrêts
Danil Tarasov
0.878

Statistiques d’équipe
Buts pour
318
3.98 GFG
Tirs pour
2617
32.71 Avg
Pourcentage en avantage numérique
20.4%
58 GF
Début de zone offensive
37.2%
Buts contre
339
4.24 GAA
Tirs contre
2645
33.06 Avg
Pourcentage en désavantage numérique
82.1%%
55 GA
Début de la zone défensive
35.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,729
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure20
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
1Daniel O'reganX100.007328807172788175778575636572573338730251950,000$
2Jason DickinsonX100.007433807071727571787475627955514546700241850,000$
3Shane Gersich (R)X100.006840837463737682808373485949484642700231900,000$
4Matt Luff (R)X100.006735807679696965717384577252494846700223900,000$
5Emile PoirierX100.005833847277707066676881577551503226680251750,000$
6Justin AugerX100.006029826469757164697677537150523331670251700,000$
7Filip Chytil (R)X100.006444796872686473687067556743436320660203700,000$
8Radel Fazleev (R)X100.005637787359737069787873505447463546660233600,000$
9Jonathan Dahlen (R)X100.006025717654585576696572607046464330650222575,000$
10Aidan Mcdonough (R)X100.007543785077655871707477436544427146650202500,000$
11Cal Burke (R)X100.006650817260706063637566486847505346640221500,000$
12Joey Anderson (R)X100.006345716969576560666067626043435324620213550,000$
13Reece WillcoxX100.007330787976738069547565776670543551730251900,000$
14Samuel Girard (R)X100.006527807673737379498764705454465534710213900,000$
15Tucker PoolmanX100.007333757573686969667157706364573334690261850,000$
16Connor Mackey (R)X100.006346786971697170506162706449514047660232700,000$
17Lawrence PilutX100.006838716265647269497161635951484046640241550,000$
18Victor Soderstrom (R)X100.004924736253435667316942593440407223560182500,000$
Rayé
1Givani Smith (R)X100.007250626672548166566763565343435119620213550,000$
2Jean-Christophe Beaudin (R)X100.005726696455626669677364505746464820610221250,000$
3Rudolfs Balcers (R)X100.006339716356685958656272536644444219610221300,000$
4Yakov Trenin (R)X100.006839686369645567596258456244443620590222250,000$
5Jack McBain (R)X100.007139556067557462586857515041417220580191500,000$
6Blade Jenkins (R)X100.005838666057586057555364555541415920570191500,000$
7Bulat Shafigullin (R)X100.005332715956566161545265385743425520550201500,000$
8Rhett Pitlick (R)X100.004529605647454064445652386040406320500182500,000$
9Ville PokkaX92.807138777567706868506863715553533533680251650,000$
MOYENNE D’ÉQUIPE99.73643674686665676862696756614947483264
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 Tarasov100.00705471817659556471558345446966650203700,000$
2Ilya Konovalov (R)100.00616363636061606264586547475766610212500,000$
Rayé
1Michael Giugovaz100.00556556606354685351576846463520580242250,000$
MOYENNE D’ÉQUIPE100.0062616368665861606257724646545161
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)C764872120134601201812918816416.49%52172122.651022324023421382506355.36%25093929231.3937000996
2Shane GersichLittle Stars (Dal)LW7556641201244101098831111023118.01%42167922.391121324722822492316455.17%1457125251.4315001986
3Jason DickinsonLittle Stars (Dal)C80255277-133001381412095612711.96%34140117.51512172319230371472054.14%10273421101.1023000057
4Matt LuffLittle Stars (Dal)RW803336698240113862007210816.50%28138017.25681420216000071354.67%754818011.0006000332
5Samuel GirardLittle Stars (Dal)D77135467-1348010715916283858.02%109211527.489918292570004267210%05973000.6300000021
6Emile PoirierLittle Stars (Dal)LW71182846-151208173140458912.86%27127717.991671618003331701138.33%602820000.7201000102
7Jonathan DahlenLittle Stars (Dal)LW74212243038078771833910411.48%2592312.480224401124510050.00%163414000.9300000041
8Filip ChytilLittle Stars (Dal)C68221638-51806466113396719.47%1983812.330001200000663247.03%421159000.9100000111
9Ilya MikheyevStarsRW401127382140635611128809.91%1477119.293710171200001172151.76%851813100.9925000223
10Reece WillcoxLittle Stars (Dal)D7323133-780012915613853521.45%125200627.49134182490113229000%02582000.3301000000
11Justin AugerLittle Stars (Dal)RW77141832-231007665113308312.39%26104513.5842671071011111040.91%442918000.6100000100
12Tucker PoolmanLittle Stars (Dal)D7962127-165601121249353416.45%96164920.88538111880001173100%02041000.3300000000
13Radel FazleevLittle Stars (Dal)C80121426-16260413113436748.96%127158.9500000000081156.66%2933414000.7300000110
14Cal BurkeLittle Stars (Dal)RW80141226-82205045107307213.08%107559.4500001000002147.62%211415000.6900000010
15Ville PokkaLittle Stars (Dal)D7322224-19460811088635342.33%82149220.4512351660332180000%01741000.3201000001
16Connor MackeyLittle Stars (Dal)D8031619-1221550825520305.45%87116214.531121400001106100%0542000.3300001011
17Aidan McdonoughLittle Stars (Dal)LW809918-8160803772174712.50%127178.9600001000051050.00%22118000.5000000101
18Lawrence PilutLittle Stars (Dal)D8011112550064703412192.94%53101212.6501105000054000%0625000.2400000000
19Jean-Christophe BeaudinLittle Stars (Dal)C21426-2601161971121.05%01426.77101110000110041.82%5542000.8400000001
20Rudolfs BalcersLittle Stars (Dal)LW24022-6601781511100%21928.02000020001230066.67%611000.2100000000
21Joey AndersonLittle Stars (Dal)RW46022-1211534292415230%123587.7900008000000075.00%434000.1100001000
22Victor SoderstromLittle Stars (Dal)D22101146041271214.29%1123310.630000000000100%0011000.0900000001
23Jack McBainLittle Stars (Dal)C6000000100000%030.590000000002000%20000000000000
24Yakov TreninLittle Stars (Dal)C6000000000000%000.140000000000000%00000000000000
25Givani SmithLittle Stars (Dal)RW7000-220000100%091.290000100000000%00100000000000
Statistiques d’équipe totales ou en moyenne1475315531846-12363220162317002617881155312.04%8782360616.005899157240226591120452018311753.79%4785515527690.72829003283734
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)63272670.8784.0235384023719361038310.609235921311
2Ilya KonovalovLittle Stars (Dal)2871030.8634.4812982097708385000.66732159100
Statistiques d’équipe totales ou en moyenne913436100.8744.144836603342644142331268080411


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)LW201999-01-01CANYes205 Lbs6 ft2NoNoTrade2024-08-21NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Blade JenkinsLittle Stars (Dal)LW192000-01-01USAYes200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Bulat ShafigullinLittle Stars (Dal)LW201999-01-01RUSYes182 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Cal BurkeLittle Stars (Dal)RW221997-01-01CANYes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Connor MackeyLittle Stars (Dal)D231996-01-01USAYes190 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Daniel O'reganLittle Stars (Dal)C251994-01-01DEUNo169 Lbs5 ft9NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm950,000$0$0$No---------------------------
Danil TarasovLittle Stars (Dal)G201999-01-01RUSNo196 Lbs6 ft6NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Emile PoirierLittle Stars (Dal)LW251994-01-01CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Filip ChytilLittle Stars (Dal)C201999-01-01CZEYes210 Lbs6 ft3NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Givani SmithLittle Stars (Dal)RW211998-01-01CANYes205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm550,000$0$0$No600,000$625,000$-------525,000$525,000$-------NoNo-------
Ilya KonovalovLittle Stars (Dal)G211998-01-01RUSYes203 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Jack McBainLittle Stars (Dal)C192000-01-01CANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jason DickinsonLittle Stars (Dal)C241995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm850,000$0$0$No---------------------------
Jean-Christophe BeaudinLittle Stars (Dal)C221997-01-01CANYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm250,000$0$0$No---------------------------
Joey AndersonLittle Stars (Dal)RW211998-01-01USAYes190 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm550,000$0$0$No600,000$625,000$-------525,000$525,000$-------NoNo-------
Jonathan DahlenLittle Stars (Dal)LW221997-01-01SWEYes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No650,000$--------550,000$--------No--------
Justin AugerLittle Stars (Dal)RW251994-01-01CANNo185 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Lawrence PilutLittle Stars (Dal)D241995-01-01SWENo194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm550,000$0$0$No---------------------------
Matt LuffLittle Stars (Dal)RW221997-01-01CANYes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No995,000$1,250,000$-------750,000$750,000$-------NoNo-------
Michael GiugovazLittle Stars (Dal)G241995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------
Radel FazleevLittle Stars (Dal)C231996-01-01RUSYes192 Lbs5 ft11NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Reece WillcoxLittle Stars (Dal)D251994-01-01CANNo184 Lbs6 ft3NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm900,000$0$0$No---------------------------
Rhett PitlickLittle Stars (Dal)LW182001-01-01USAYes170 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Rudolfs BalcersLittle Stars (Dal)LW221997-01-01LVAYes180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm300,000$0$0$No---------------------------
Samuel GirardLittle Stars (Dal)D211998-01-01CANYes170 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No1,200,000$1,800,000$-------800,000$800,000$-------NoNo-------
Shane GersichLittle Stars (Dal)LW231996-01-01USAYes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Tucker PoolmanLittle Stars (Dal)D261993-01-01USANo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm850,000$0$0$No---------------------------
Victor SoderstromLittle Stars (Dal)D182001-01-01SWEYes183 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Ville Pokka (sur la masse salariale)Little Stars (Dal)D251994-01-01FINNo205 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$Yes---------------------------
Yakov TreninLittle Stars (Dal)C221997-01-01RUSYes201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3022.07189 Lbs6 ft11.73610,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shane GersichDaniel O'reganMatt Luff40122
2Emile PoirierJason DickinsonJustin Auger30122
3Jonathan DahlenFilip ChytilCal Burke20122
4Aidan McdonoughRadel FazleevJoey Anderson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard40122
2Tucker PoolmanConnor Mackey30122
3Lawrence PilutVictor Soderstrom20122
4Reece WillcoxSamuel Girard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shane GersichDaniel O'reganMatt Luff60122
2Emile PoirierJason DickinsonJustin Auger40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard60122
2Tucker PoolmanConnor Mackey40122
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 Girard60122
2Tucker PoolmanConnor Mackey40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Daniel O'regan60122Reece WillcoxSamuel Girard60122
2Jason Dickinson40122Tucker PoolmanConnor Mackey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel O'reganShane Gersich60122
2Jason DickinsonEmile Poirier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reece WillcoxSamuel Girard60122
2Tucker PoolmanConnor Mackey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shane GersichDaniel O'reganMatt LuffReece WillcoxSamuel Girard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shane GersichDaniel O'reganMatt LuffReece WillcoxSamuel Girard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Emile Poirier, Justin Auger, Filip ChytilEmile Poirier, Justin AugerEmile Poirier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Mackey, Lawrence Pilut, Victor SoderstromConnor MackeyConnor Mackey, Lawrence Pilut
Tirs de pénalité
Daniel O'regan, Matt Luff, Shane Gersich, Jason Dickinson, Emile Poirier
Gardien
#1 : Danil Tarasov, #2 : Ilya Konovalov
Lignes d’attaque personnalisées en prolongation
Daniel O'regan, Matt Luff, Shane Gersich, Jason Dickinson, Emile Poirier, Justin Auger, Filip Chytil, Radel Fazleev, Jonathan Dahlen, Aidan Mcdonough
Lignes de défense personnalisées en prolongation
Reece Willcox, Samuel Girard, Tucker Poolman, Connor Mackey, Lawrence Pilut


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
1Admirals2020000028-61010000014-31010000014-300.000246008612110313548469078415063264481119.09%20100.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
2Americans21100000912-3110000007521010000027-520.5009112000861211031367846907841506224104710330.00%5340.00%11004176456.92%879168752.10%691129753.28%170796917157531422702
3Barracuda2010100067-11010000035-21000100032120.500610160086121103137084690784150642916475120.00%8275.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
4Bears30200100710-31010000023-12010010057-210.167713200086121103139184690784150973126583133.33%13284.62%01004176456.92%879168752.10%691129753.28%170796917157531422702
5Canucks622010012829-13110100012111311000011618-270.58328457300861211031320984690784150197765211519421.05%26484.62%01004176456.92%879168752.10%691129753.28%170796917157531422702
6Checkers422000001718-132100000161421010000014-340.5001731480086121103131348469078415012841368615320.00%18477.78%11004176456.92%879168752.10%691129753.28%170796917157531422702
7Comets3120000011110211000009811010000023-120.33311193000861211031310384690784150110282471300.00%13192.31%11004176456.92%879168752.10%691129753.28%170796917157531422702
8Condors210000016511000000123-11100000042230.7506101600861211031363846907841507516834300.00%40100.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
9Crunch3200001021101122000000166101000001054161.00021345500861211031310084690784150913632569333.33%16381.25%01004176456.92%879168752.10%691129753.28%170796917157531422702
10Eagles3110001089-1100000102112110000068-240.66781220008612110313105846907841509542126310220.00%60100.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
11Firebirds312000001113-22020000059-41100000064220.333111829008612110313110846907841509535187012433.33%9188.89%01004176456.92%879168752.10%691129753.28%170796917157531422702
12Griffins21100000862110000007431010000012-120.500813210086121103137384690784150582116387228.57%8187.50%01004176456.92%879168752.10%691129753.28%170796917157531422702
13Gulls21001000936110000006151000100032141.000914230086121103136984690784150672712448225.00%60100.00%11004176456.92%879168752.10%691129753.28%170796917157531422702
14Icehogs211000008801010000034-11100000054120.5008122000861211031359846907841506131184610110.00%9188.89%11004176456.92%879168752.10%691129753.28%170796917157531422702
15Islander311000101415-11010000047-321000010108240.667142337008612110313113846907841509730266412325.00%13284.62%01004176456.92%879168752.10%691129753.28%170796917157531422702
16Marlies531001002721632100000201462100010077070.70027477400861211031317884690784150161413011024520.83%15660.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
17Moose523000002428-411000000862413000001622-640.400244064008612110313170846907841501896147991317.69%21480.95%11004176456.92%879168752.10%691129753.28%170796917157531422702
18Penguins3110010011110211000008711000010034-130.5001120310086121103131078469078415010138104915213.33%4250.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
19Phantoms20001100660100010004311000010023-130.75061117008612110313538469078415066121836200.00%9188.89%01004176456.92%879168752.10%691129753.28%170796917157531422702
20Punishers614001002631-53120000011110302001001520-530.2502646721086121103131668469078415019976731212528.00%31680.65%11004176456.92%879168752.10%691129753.28%170796917157531422702
21Rockets2010010049-51000010023-11010000026-410.25047110086121103135884690784150631918427228.57%9366.67%01004176456.92%879168752.10%691129753.28%170796917157531422702
22Senators311000011116-51100000053220100001613-730.500111829008612110313938469078415011029275610330.00%11281.82%11004176456.92%879168752.10%691129753.28%170796917157531422702
23Thunderbirds613010012127-6312000001114-3301010011013-350.41721375800861211031318484690784150188614611634720.59%23578.26%11004176456.92%879168752.10%691129753.28%170796917157531422702
24Wolfpack413000001214-22020000058-32110000076120.2501219310086121103131148469078415014136437310440.00%20195.00%01004176456.92%879168752.10%691129753.28%170796917157531422702
25Wranglers211000001112-11010000047-31100000075220.5001117280086121103137484690784150671216347228.57%8187.50%01004176456.92%879168752.10%691129753.28%170796917157531422702
Total80263605634318339-21401619021111731611240101703523145178-33780.488318531849108612110313261784690784150264587863816232845820.42%3075582.08%91004176456.92%879168752.10%691129753.28%170796917157531422702
_Since Last GM Reset80263605634318339-21401619021111731611240101703523145178-33780.488318531849108612110313261784690784150264587863816232845820.42%3075582.08%91004176456.92%879168752.10%691129753.28%170796917157531422702
_Vs Conference47142302332187198-1125914010101019922259013228699-13430.45718731750410861211031315368469078415015395303989421673520.96%1923183.85%41004176456.92%879168752.10%691129753.28%170796917157531422702
_Vs Division1849021027587-12935010003436-2914011024151-10150.4177512820310861211031355984690784150584213171352781316.67%801581.25%21004176456.92%879168752.10%691129753.28%170796917157531422702

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8078L131853184926172645878638162310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8026365634318339
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4016192111173161
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4010173523145178
Derniers 10 matchs
WLOTWOTL SOWSOL
441001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2845820.42%3075582.08%9
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
846907841508612110313
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
1004176456.92%879168752.10%691129753.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170796917157531422702


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
73378Checkers5Little Stars4LSommaire du match
77394Little Stars2Phantoms3LXSommaire du match
79404Islander7Little Stars4LSommaire du match
82419Little Stars5Icehogs4WSommaire du match
83431Condors3Little Stars2LXXSommaire du match
88452Moose6Little Stars8WSommaire du match
90460Little Stars6Moose8LSommaire du match
92472Little Stars5Punishers6LXR1Sommaire du match
94482Admirals4Little Stars1LSommaire du match
96497Little Stars5Punishers7LR1Sommaire du match
99507Little Stars2Moose5LSommaire du match
101514Americans5Little Stars7WSommaire du match
105534Thunderbirds4Little Stars6WR1Sommaire du match
106543Little Stars3Barracuda2WXSommaire du match
109557Little Stars5Crunch4WXXSommaire du match
111566Griffins4Little Stars7WSommaire du match
113579Little Stars3Gulls2WXSommaire du match
116592Wranglers7Little Stars4LSommaire du match
118602Little Stars5Eagles1WSommaire du match
120616Eagles1Little Stars2WXXSommaire du match
125638Little Stars1Checkers4LSommaire du match
126645Punishers2Little Stars4WR1Sommaire du match
129663Senators3Little Stars5WSommaire du match
131675Little Stars1Admirals4LSommaire du match
132683Little Stars6Firebirds4WSommaire du match
135697Bears3Little Stars2LSommaire du match
137711Little Stars1Griffins2LSommaire du match
139722Penguins2Little Stars1LSommaire du match
141735Little Stars1Eagles7LSommaire du match
143745Marlies6Little Stars5LSommaire du match
145757Little Stars3Bears4LXSommaire du match
148772Little Stars4Condors2WSommaire du match
149779Phantoms3Little Stars4WXSommaire du match
153799Gulls1Little Stars6WSommaire du match
155812Little Stars2Bears3LSommaire du match
156818Little Stars4Canucks5LXXR1Sommaire du match
159828Comets2Little Stars5WSommaire du match
162850Canucks3Little Stars4WXR1Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166869Little Stars4Marlies3WSommaire du match
168879Marlies5Little Stars7WSommaire du match
171893Little Stars3Marlies4LXSommaire du match
173904Canucks4Little Stars3LR1Sommaire du match
175914Little Stars1Wolfpack4LSommaire du match
177929Penguins5Little Stars7WSommaire du match
181952Firebirds3Little Stars2LSommaire du match
183958Little Stars6Wolfpack2WSommaire du match
184964Little Stars5Thunderbirds4WXR1Sommaire du match
188982Crunch4Little Stars9WSommaire du match
190992Little Stars3Thunderbirds4LXXR1Sommaire du match
1931009Crunch2Little Stars7WSommaire du match
1991033Firebirds6Little Stars3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance72,88536,282
Assistance PCT91.11%90.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2729 - 90.97% 172,022$6,880,893$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,660,954$ 1,832,500$ 1,832,500$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,750$ 1,857,679$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,032$ 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