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Stars
GP: 35 | W: 21 | L: 10 | OTL: 4 | P: 46
GF: 117 | GA: 101 | PP%: 22.37% | PK%: 78.81%
DG: Julien Gagné | Morale : 59 | Moyenne d’équipe : 72
#581 vs Sharks
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Centre de jeu
Stars
21-10-4, 46pts
1
FINAL
2 MapleLeafs
15-19-1, 31pts
Team Stats
L3SéquenceL1
10-6-2Fiche domicile9-9-0
11-4-2Fiche visiteur6-10-1
6-4-0Derniers 10 matchs6-4-0
3.34Buts par match 2.86
2.89Buts contre par match 3.37
22.37%Pourcentage en avantage numérique21.05%
78.81%Pourcentage en désavantage numérique85.52%
Jets
21-13-1, 43pts
5
FINAL
1 Stars
21-10-4, 46pts
Team Stats
W3SéquenceL3
12-6-0Fiche domicile10-6-2
9-7-1Fiche visiteur11-4-2
7-3-0Derniers 10 matchs6-4-0
3.26Buts par match 3.34
2.97Buts contre par match 2.89
18.88%Pourcentage en avantage numérique22.37%
81.95%Pourcentage en désavantage numérique78.81%
Stars
21-10-4, 46pts
2024-11-21
Sharks
14-18-2, 30pts
Statistiques d’équipe
L3SéquenceL2
10-6-2Fiche domicile7-10-1
11-4-2Fiche visiteur7-8-1
6-4-010 derniers matchs2-7-1
3.34Buts par match 2.85
2.89Buts contre par match 2.85
22.37%Pourcentage en avantage numérique18.88%
78.81%Pourcentage en désavantage numérique73.17%
Hurricanes
20-8-5, 45pts
2024-11-23
Stars
21-10-4, 46pts
Statistiques d’équipe
W1SéquenceL3
11-5-2Fiche domicile10-6-2
9-3-3Fiche visiteur11-4-2
5-1-410 derniers matchs6-4-0
3.27Buts par match 3.34
2.88Buts contre par match 3.34
20.51%Pourcentage en avantage numérique22.37%
80.62%Pourcentage en désavantage numérique78.81%
Stars
21-10-4, 46pts
2024-11-27
BlackHawks
21-8-6, 48pts
Statistiques d’équipe
L3SéquenceSOL1
10-6-2Fiche domicile10-4-4
11-4-2Fiche visiteur11-4-2
6-4-010 derniers matchs5-3-2
3.34Buts par match 3.60
2.89Buts contre par match 3.60
22.37%Pourcentage en avantage numérique30.33%
78.81%Pourcentage en désavantage numérique80.92%
Meneurs d'équipe
Buts
Anze Kopitar
18
Passes
Jonathan Huberdeau
27
Points
Anze Kopitar
44
Plus/Moins
Anze Kopitar
19
Victoires
Juuse Saros
20
Pourcentage d’arrêts
Cory Schneider
0.902

Statistiques d’équipe
Buts pour
117
3.34 GFG
Tirs pour
1085
31.00 Avg
Pourcentage en avantage numérique
22.4%
34 GF
Début de zone offensive
42.9%
Buts contre
101
2.89 GAA
Tirs contre
938
26.80 Avg
Pourcentage en désavantage numérique
78.8%%
25 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralJulien Gagné
EntraîneurJeff Daniels
DivisionDivision Centrale
ConférenceConference Ouest
CapitaineAnze Kopitar
Assistant #1Sean Monahan
Assistant #2Adam Fox


Informations de l’aréna

NomContinental Airlines Arena
Capacité22,000
Assistance16,513
Billets de saison8,800


Informations de la formation

Équipe Pro20
Équipe Mineure29
Limite contact 49 / 56
Espoirs56


Plafond salarial Non Activé

Cap Salarial de la Saison estimé76,850,000$
Plafond salarial disponible1,150,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour28,870,769$
Dépenses annuelles à ce jour32,792,693$
Revenus de la saison estimés36,890,427$
Dépenses de la saison estimées44,319,448$
Compte bancaire actuel58,149,473$
Compte bancaire projeté51,112,772$


Historique d'équipe

Saison actuelle21-10-4 (46PTS)
Historique74-35-8 (0.632%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)6-5
Coupe Stanley0


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
1Anze Kopitar (C)X100.00624492737696929791989391899999305283037110,350,000$
2Jonathan HuberdeauXX100.0068468880749692997599867589969956688103129,000,000$
3Sean Monahan (A)XXX100.0071419175769691918085857084999958687903038,500,000$
4Brandon SaadXX100.0060489472749691827383797579999754687603227,000,000$
5Martin NecasXXX100.0066459181729491868084777784747166677502526,500,000$
6Brandon HagelXX100.006846857670889181667979777569676656720262900,000$
7Devin ShoreXXX100.0066459473727279737572687364727256686803011,700,000$
8Fabian ZetterlundXX100.006645947471767477677676767155506868680251900,000$
9Noel AcciariXXX100.008045907471798472797071736971634768680321900,000$
10Michael McCarronXXX100.00828567747780807578717278706952565868N0291900,000$
11Sean MaloneX100.0065449171727173747473697960696056686702911,800,000$
12Logan BrownXXX100.006547907275748375727373747358516068660261900,000$
13Adam Fox (A)X100.0063489280729393954594777969798966627802617,150,000$
14Miro HeiskanenX100.006646888171939182458572776475726868740253900,000$
15Devon ToewsX100.0070458875829491804582757770707251687403035,750,000$
16Janis MoserX100.006645877369849076457469796265467062680242900,000$
17Josh MahuraX100.0071468975717879754571727667625066686802613,000,000$
18Alex Vlasic (R)X100.006655897874869075457265795955457071680233900,000$
Rayé
Équipe Mineure
1Miles WoodXX100.0069507576728084736274707368736259686702922,000,000$
2Martin Pospisil (R)XXX100.007855668168748575717372716650457063660251900,000$
3Nikolai KovalenkoXX100.006846887469747473637070766454506663650251750,000$
4Vitali KravtsovXX100.006645907371748173627171736654496863650242900,000$
5Michael Dal ColleXX100.0065459271727384716669696964605059636502812,000,000$
6Semyon Der-Arguchintsev (R)XXX100.006245907266757571727070706345457063640243750,000$
7Nicholas CaamanoXX100.006845907272727270676769706349476063630262750,000$
8Justin KirklandXXX100.0068459773716871697664667062504661636302822,000,000$
9Pavel TyutnevXXX100.006646867368727272726665715949477844630222750,000$
10Jere Lassila (R)X100.006745807266707068726964695845458063620203750,000$
11Patrik Puistola (R)XX100.006045857267707067606967666145457048620233750,000$
12Tyler Weiss (R)XX100.006850757264707066606664655845457048610243750,000$
13Tyler TuckerX100.0073667275737875744570717468524768646602411,800,000$
14Dillon HeatheringtonX100.0073647371757476694571597652665354526502911,500,000$
15Libor HajekX100.0061459674737385714567697167564664636502614,000,000$
16Mattias Norlinder (R)X100.006645857269757571456763765645457054640243750,000$
17Dysin MayoX100.006544867270717564456462695961515719630282900,000$
18Cameron CrottyX100.006239867270707265456660734549476061620252750,000$
19Kenny AgostinoXX100.005943977171737370616767706554484623630321800,000$
20Dan O'ReganX100.006045967069687369726764716255455319620302850,000$
21Josh JoorisX100.0061459371716572666565646562645443206203411,400,000$
22Taro HiroseXX100.006146947167728168656664686253476220620281750,000$
23Denis SmirnovXX100.005542867266676858675655675949475820580271750,000$
24Stefan ElliottX100.0058449270706977714572726970625143256403311,400,000$
25Scott PerunovichX91.826544907266727266456667725649466054630262750,000$
26Philip SamuelssonX100.0065488769726971674564647162524547206203311,500,000$
MOYENNE D’ÉQUIPE99.80664787747178807462737073666257605567
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
1Juuse Saros100.0088949676879492949693938280576777N02948,000,000$
2Cory Schneider100.0075797781767885828385798386227269N0381900,000$
Rayé
Équipe Mineure
1Akira Schmid (R)98.00798481828189848588817460457070670243900,000$
2Evan Cowley100.007572757979778378788180595857676502911,200,000$
3Colton Point100.00787868827673827373777445466032610262750,000$
MOYENNE D’ÉQUIPE99.6079817980808285828483806663536268
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels69968985999958CAN574500,000$


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
1Anze KopitarStarsC31182644192026701324011213.64%659919.3457122598000000254.33%80800101.4712000438
2Jonathan HuberdeauStarsLW/RW35162743172405739150369810.67%471120.314101434128000004048.89%4500001.2122000521
3Martin NecasStarsC/LW/RW35131427-21803042111348511.71%470520.1525715121000012053.53%17000000.7700000031
4Sean MonahanStarsC/LW/RW35121527-12140535213133879.16%469419.855101538121000004250.18%85300020.7801000220
5Adam FoxStarsD3561925-14010173750163312.00%3577922.26481233122000038120%000100.6400011211
6Miro HeiskanenStarsD3551621-234049285120229.80%2176221.80561133124000012110%000000.5500000101
7Devon ToewsStarsD35516211420054225217459.62%5180623.0324633126000087110%000000.5200000110
8Brandon SaadStarsLW/RW35912211260262063335114.29%971020.3123514130000000048.33%6000000.5900000023
9Brandon HagelStarsLW/RW3471017-718041407923608.86%665719.3325711117000000040.00%6000000.5200000011
10Janis MoserStarsD3151116-880181333141515.15%3257618.6031416111000077200%000000.5500000120
11Fabian ZetterlundStarsLW/RW35510157007295915388.47%351214.640005470113942036.84%5700000.5900000110
12Alex VlasicStarsD35381116351527232182114.29%5167619.3200007000287010%000000.3300003001
13Logan BrownStarsC/LW/RW3546105004263493411.76%442412.12000020000961153.49%8600000.4700000011
14Michael McCarronStarsC/LW/RW30279225536354111254.88%1234211.43000000002770050.11%44700000.5200100010
15Josh MahuraStarsD35268-726034281341315.38%2854015.4300002101186100%000000.3000000000
16Devin ShoreStarsC/LW/RW35044-1240612134120%22035.82000020000140047.37%3800000.3900000000
17Dillon HeatheringtonStarsF (Dal)D4022-100730000%66416.1300000000016000%000000.6200000000
18Noel AcciariStarsC/LW/RW35202-9601910212159.52%31855.29000000001140048.15%2700000.2200000100
19Martin PospisilStarsF (Dal)C/LW/RW710132093103710.00%07811.1500003000010071.43%700000.2600000000
20Sean MaloneStarsC35011-960536195200%72697.69000000004980050.82%36600000.0700000000
21Miles WoodStarsF (Dal)LW/RW3000100122040%03612.2500000000050050.00%20000000000000
Statistiques d’équipe totales ou en moyenne6301152103252628830526570108532779710.60%2881033616.41345993257126911213810191051.12%302600220.6335114182018
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
1Juuse SarosStars33201030.8912.86193021928460201.0005323101
2Cory SchneiderStars51010.9022.921850199200000332001
Statistiques d’équipe totales ou en moyenne38211040.8922.8621162210193802053535102


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 Type Salaire actuel Plafond 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
Adam FoxStarsD261998-02-17No181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm7,150,000$7,150,000$4,096,757$No------------------Lien
Alex VlasicStarsD232001-06-05Yes217 Lbs6 ft6NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$900,000$515,676$No900,000$900,000$-------NoNo-------Lien
Anze KopitarStarsC371987-08-24No225 Lbs6 ft4NoNoN/ANoNo1Pro Only10,350,000$10,350,000$5,930,270$No------------------Lien
Brandon HagelStarsLW/RW261998-08-27No175 Lbs6 ft0NoNoN/ANoNo22023-12-30Pro & Farm900,000$900,000$515,676$No900,000$--------No--------Lien
Brandon SaadStarsLW/RW321992-10-27No215 Lbs6 ft1NoNoN/ANoNo2Pro & Farm7,000,000$7,000,000$4,010,811$No7,000,000$--------No--------Lien
Cory SchneiderStarsG381986-03-18No214 Lbs6 ft3YesNoN/ANoNo1Pro & Farm900,000$900,000$515,676$No------------------Lien
Devin ShoreStarsC/LW/RW301994-07-19No206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$974,054$No------------------Lien
Devon ToewsStarsD301994-02-21No191 Lbs6 ft2NoNoTrade2024-01-27NoNo32024-03-05Pro & Farm5,750,000$5,750,000$3,294,595$No5,750,000$5,750,000$-------YesYes-------Lien
Fabian ZetterlundStarsLW/RW251999-08-25No220 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$900,000$515,676$No------------------Lien
Janis MoserStarsD242000-06-06No173 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$900,000$515,676$No900,000$--------No--------Lien
Jonathan HuberdeauStarsLW/RW311993-06-04No202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm9,000,000$9,000,000$5,156,757$No9,000,000$--------No--------Lien
Josh MahuraStarsD261998-05-05No186 Lbs6 ft0NoNoTrade2024-04-04NoNo1Pro & Farm3,000,000$3,000,000$1,718,919$No------------------Lien
Juuse SarosStarsG291995-04-19No180 Lbs5 ft11YesNoN/ANoNo42024-04-29Pro & Farm8,000,000$8,000,000$4,583,784$No8,000,000$8,000,000$8,000,000$------YesYesYes------Lien
Logan BrownStarsC/LW/RW261998-03-05No220 Lbs6 ft6NoNoN/ANoYes1Pro & Farm900,000$900,000$515,676$No------------------Lien
Martin NecasStarsC/LW/RW251999-01-15No189 Lbs6 ft2NoNoN/ANoNo22024-04-29Pro & Farm6,500,000$6,500,000$3,724,324$No6,500,000$--------No--------Lien
Michael McCarronStarsC/LW/RW291995-03-07No232 Lbs6 ft6YesNoFree AgentNoNo12024-08-18Pro & Farm900,000$900,000$515,676$No------------------Lien
Miro HeiskanenStarsD251999-07-18No195 Lbs6 ft1NoNoN/ANoNo32024-04-11Pro & Farm900,000$900,000$515,676$No900,000$900,000$-------NoNo-------Lien
Noel AcciariStarsC/LW/RW321991-12-01No209 Lbs5 ft10NoNoTrade2024-01-27NoNo1Pro & Farm900,000$900,000$515,676$No------------------Lien
Sean MaloneStarsC291995-04-30No197 Lbs6 ft0NoNoTrade2024-04-29NoYes12024-04-29Pro & Farm1,800,000$1,800,000$1,031,351$No------------------Lien
Sean MonahanStarsC/LW/RW301994-10-12No200 Lbs6 ft2NoNoN/ANoNo32024-04-29Pro & Farm8,500,000$8,500,000$4,870,270$No8,500,000$8,500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.65201 Lbs6 ft21.803,842,500$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
76,850,000$48,350,000$24,050,000$8,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan HuberdeauAnze KopitarBrandon Saad35023
2Brandon HagelSean MonahanMartin Necas35023
3Fabian ZetterlundMichael McCarronLogan Brown20032
4Noel AcciariSean MaloneDevin Shore10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miro HeiskanenAdam Fox37032
2Devon ToewsAlex Vlasic36041
3Janis MoserJosh Mahura27041
4Adam FoxDevon Toews0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan HuberdeauSean MonahanBrandon Saad50005
2Fabian ZetterlundMartin NecasBrandon Hagel50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Miro HeiskanenAdam Fox50005
2Janis MoserDevon Toews50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael McCarronFabian Zetterlund50050
2Sean MaloneLogan Brown50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicJosh Mahura50050
2Janis MoserDevon Toews50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael McCarron50050Alex VlasicJosh Mahura50050
2Sean Malone50050Janis MoserDevon Toews50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anze KopitarJonathan Huberdeau50122
2Sean MonahanBrandon Saad50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxDevon Toews50122
2Miro HeiskanenJosh Mahura50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan HuberdeauAnze KopitarSean MonahanMiro HeiskanenAdam Fox
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan HuberdeauAnze KopitarBrandon SaadMiro HeiskanenAdam Fox
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Fabian Zetterlund, Martin Necas, Logan BrownFabian Zetterlund, Logan BrownNoel Acciari
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Vlasic, Josh Mahura, Miro HeiskanenAlex VlasicAdam Fox, Miro Heiskanen
Tirs de pénalité
Anze Kopitar, Jonathan Huberdeau, Sean Monahan, Brandon Saad, Martin Necas
Gardien
#1 : Juuse Saros, #2 : Cory Schneider


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
1Avalanches1010000012-1000000000001010000012-100.00012300010029981202552717100.00%6183.33%0674128852.33%570116049.14%30355254.89%2316237125
2BlackHawks1010000012-1000000000001010000012-100.0001230010002381230189611100.00%30100.00%0674128852.33%570116049.14%30355254.89%2517226126
3BlueJacket11000000101000000000001100000010121.000123010100259790279815300.00%30100.00%0674128852.33%570116049.14%30355254.89%2214257125
4Blues220000001165110000005321100000063341.0001120310045205916251804818834600.00%4175.00%0674128852.33%570116049.14%30355254.89%463246162713
5Canadiens1010000023-11010000023-10000000000000.0002460011002456130263129400.00%6183.33%0674128852.33%570116049.14%30355254.89%2517227125
6Canucks1010000015-41010000015-40000000000000.0001230001003177170329815100.00%4175.00%0674128852.33%570116049.14%30355254.89%2114247136
7Capitals11000000431110000004310000000000021.0004711000220321014802912824300.00%40100.00%0674128852.33%570116049.14%30355254.89%2518236115
8Devils1010000024-2000000000001010000024-200.00024600110038141860234412300.00%2150.00%0674128852.33%570116049.14%30355254.89%2820206116
9Flames440000001899220000009452200000095481.000183351006570136344656010831334620840.00%13284.62%0674128852.33%570116049.14%30355254.89%1077782274927
10GoldenKnights401012001013-31010000002-2300012001011-140.500101626001531102274331113846387912325.00%19668.42%1674128852.33%570116049.14%30355254.89%956597295024
11Hockey club1000010034-11000010034-10000000000010.5003580030003110111003112101412325.00%4175.00%0674128852.33%570116049.14%30355254.89%2517238126
12Hurricanes10001000541000000000001000100054121.000591400031126561322374124250.00%20100.00%0674128852.33%570116049.14%30355254.89%2517237137
13Jets2110000067-12110000067-10000000000020.50061218001230611327210491019248337.50%7185.71%0674128852.33%570116049.14%30355254.89%533841132513
14Kings22000000853110000004311100000042241.000816240023307125212504322142112325.00%5260.00%0674128852.33%570116049.14%30355254.89%523742142413
15Kraken11000000532000000000001100000053221.0005914001310301866030717135240.00%6183.33%0674128852.33%570116049.14%30355254.89%2316238135
16MapleLeafs1010000012-1000000000001010000012-100.00012300010027611100275216800.00%000%0674128852.33%570116049.14%30355254.89%2416217137
17Penguins1010000046-21010000046-20000000000000.000471100301041171680367467228.57%220.00%0674128852.33%570116049.14%30355254.89%2518217136
18Predators41000120161062000011066021000010104670.87516264201311031243650291410529316915320.00%13376.92%0674128852.33%570116049.14%30355254.89%1118087275126
19Rangers11000000413110000004130000000000021.000471100103046722170278623700.00%30100.00%0674128852.33%570116049.14%30355254.89%2720196127
20Sabres11000000321110000003210000000000021.00036900111029912802280132150.00%000%0674128852.33%570116049.14%30355254.89%2317237136
21Senators10001000541000000000001000100054121.0005914001211243812137109104125.00%20100.00%0674128852.33%570116049.14%30355254.89%2316237136
22Sharks1010000034-11010000034-10000000000000.000358000300481120170176162910220.00%7271.43%0674128852.33%570116049.14%30355254.89%2719197137
23Wild11000000321110000003210000000000021.000358001020281378017116144125.00%30100.00%0674128852.33%570116049.14%30355254.89%2921176126
Total351610034201171011618960021057552177403210604614460.6571172103270231513061085312403357189382882905261523422.37%1182578.81%1674128852.33%570116049.14%30355254.89%896631775253446227
_Since Last GM Reset351610034201171011618960021057552177403210604614460.6571172103270231513061085312403357189382882905261523422.37%1182578.81%1674128852.33%570116049.14%30355254.89%896631775253446227
_Vs Conference251260142086721413640021040400126201210463214340.68086153239012339214773227283253156612152333861072826.17%942177.66%1674128852.33%570116049.14%30355254.89%644454552180318162
_Vs Division1253002204133873100210232215220001018117160.6674172113011319733551051401011429394107183471021.28%40782.50%0674128852.33%570116049.14%30355254.89%3152242618615478

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3546L3117210327108593828829052602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3516103420117101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189602105755
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
177432106046
Derniers 10 matchs
WLOTWOTL SOWSOL
442000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1523422.37%1182578.81%1
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
312403357183151306
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
674128852.33%570116049.14%30355254.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
896631775253446227


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
1 - 2024-09-032Flames1Stars5BWSommaire du match
3 - 2024-09-0519Stars3GoldenKnights4ALXSommaire du match
5 - 2024-09-0734Stars3GoldenKnights4ALXSommaire du match
6 - 2024-09-0841Stars4Kings2AWSommaire du match
9 - 2024-09-1159GoldenKnights2Stars0BLSommaire du match
11 - 2024-09-1374Stars1BlackHawks2ALSommaire du match
13 - 2024-09-1590Stars5Predators4AWXXSommaire du match
14 - 2024-09-16100Blues3Stars5BWSommaire du match
17 - 2024-09-19123Flames3Stars4BWSommaire du match
20 - 2024-09-22149Wild2Stars3BWSommaire du match
22 - 2024-09-24158Stars5Flames2AWSommaire du match
24 - 2024-09-26173Stars5Kraken3AWSommaire du match
25 - 2024-09-27186Jets2Stars5BWSommaire du match
29 - 2024-10-01208Canucks5Stars1BLSommaire du match
33 - 2024-10-05235Stars1Avalanches2ALSommaire du match
35 - 2024-10-07248Hockey club4Stars3BLXR3Sommaire du match
38 - 2024-10-10269Rangers1Stars4BWSommaire du match
42 - 2024-10-14297Predators3Stars4BWXXSommaire du match
45 - 2024-10-17315Stars4Flames3AWSommaire du match
46 - 2024-10-18329Predators3Stars2BLXSommaire du match
49 - 2024-10-21348Stars2Devils4ALSommaire du match
51 - 2024-10-23364Kings3Stars4BWSommaire du match
53 - 2024-10-25381Stars5Senators4AWXSommaire du match
54 - 2024-10-26393Stars6Blues3AWSommaire du match
56 - 2024-10-28403Sharks4Stars3BLSommaire du match
59 - 2024-10-31427Penguins6Stars4BLSommaire du match
61 - 2024-11-02443Stars5Predators0AWSommaire du match
63 - 2024-11-04456Stars5Hurricanes4AWXSommaire du match
64 - 2024-11-05466Sabres2Stars3BWSommaire du match
67 - 2024-11-08484Stars4GoldenKnights3AWXSommaire du match
69 - 2024-11-10496Capitals3Stars4BWSommaire du match
71 - 2024-11-12517Stars1BlueJacket0AWSommaire du match
72 - 2024-11-13528Canadiens3Stars2BLSommaire du match
76 - 2024-11-17553Stars1MapleLeafs2ALSommaire du match
78 - 2024-11-19561Jets5Stars1BLSommaire du match
80 - 2024-11-21581Stars-Sharks-
82 - 2024-11-23591Hurricanes-Stars-
86 - 2024-11-27618Stars-BlackHawks-
87 - 2024-11-28625Wild-Stars-
90 - 2024-12-01650Oilers-Stars-
92 - 2024-12-03663Stars-RedWings-
94 - 2024-12-05680Stars-Kraken-
96 - 2024-12-07689Flyers-Stars-
98 - 2024-12-09705Stars-Hockey club-
100 - 2024-12-11717Stars-Oilers-
101 - 2024-12-12727Hockey club-Stars-
104 - 2024-12-15749Stars-Canucks-
105 - 2024-12-16758Ducks-Stars-
108 - 2024-12-19780Canucks-Stars-
110 - 2024-12-21796Stars-Bruins-
112 - 2024-12-23812Stars-Wild-
114 - 2024-12-25823Stars-Islanders-
115 - 2024-12-26828BlackHawks-Stars-
118 - 2024-12-29853GoldenKnights-Stars-
120 - 2024-12-31870Stars-Jets-
122 - 2025-01-02882Oilers-Stars-
125 - 2025-01-05900Stars-Blues-
127 - 2025-01-07914Kings-Stars-
132 - 2025-01-12943Ducks-Stars-
134 - 2025-01-14959Stars-Ducks-
135 - 2025-01-15974BlackHawks-Stars-
138 - 2025-01-18994Stars-Avalanches-
140 - 2025-01-201004Stars-Jets-
141 - 2025-01-211014Lightning-Stars-
143 - 2025-01-231034Flames-Stars-
146 - 2025-01-261049Stars-Kings-
148 - 2025-01-281062Stars-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301077Sharks-Stars-
153 - 2025-02-021103Stars-Oilers-
154 - 2025-02-031105Stars-Kings-
156 - 2025-02-051118Blues-Stars-
159 - 2025-02-081140Stars-Ducks-
160 - 2025-02-091152Hurricanes-Stars-
163 - 2025-02-121168Stars-Wild-
164 - 2025-02-131178Stars-Hockey club-
166 - 2025-02-151187GoldenKnights-Stars-
168 - 2025-02-171204Stars-Sharks-
169 - 2025-02-181215Avalanches-Stars-
171 - 2025-02-201227Stars-Panthers-
175 - 2025-02-241251Kraken-Stars-
180 - 2025-03-011284Avalanches-Stars-
183 - 2025-03-041297Kraken-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80006000300040001000
Prix des billets95603025190
Assistance106,81076,52443,66356,62913,606
Attendance PCT74.17%70.86%80.86%78.65%75.59%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 16513 - 75.06% 1,603,932$28,870,769$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
32,792,693$ 76,850,000$ 72,750,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
76,850,000$ 32,579,168$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
36,890,427$ 106 418,108$ 44,319,448$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
46,270,378$ 58,149,473$ 51,112,772$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
76,850,000$ 1,150,000$ 78,000,000$ 76,850,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jonathan HuberdeauAGE:31PO:56OV:81
Sean MonahanAGE:30PO:58OV:79
Brandon SaadAGE:32PO:54OV:76
Martin NecasAGE:25PO:66OV:75
Brandon HagelAGE:26PO:66OV:72
Fabian ZetterlundAGE:25PO:68OV:68
Devin ShoreAGE:30PO:56OV:68
Michael McCarronAGE:29PO:56OV:68
Noel AcciariAGE:32PO:47OV:68
Miles WoodAGE:29PO:59OV:67
Martin Pospisil (R)AGE:25PO:70OV:66
Logan BrownAGE:26PO:60OV:66
Vitali KravtsovAGE:24PO:68OV:65
Nikolai KovalenkoAGE:25PO:66OV:65
Michael Dal ColleAGE:28PO:59OV:65
Semyon Der-Arguchintsev (R)AGE:24PO:70OV:64
Pavel TyutnevAGE:22PO:78OV:63
Justin KirklandAGE:28PO:61OV:63
Nicholas CaamanoAGE:26PO:60OV:63
Kenny AgostinoAGE:32PO:46OV:63
Patrik Puistola (R)AGE:23PO:70OV:62
Taro HiroseAGE:28PO:62OV:62
Tyler Weiss (R)AGE:24PO:70OV:61
Denis SmirnovAGE:27PO:58OV:58
Anze KopitarAGE:37PO:30OV:83
Sean MonahanAGE:30PO:58OV:79
Martin NecasAGE:25PO:66OV:75
Devin ShoreAGE:30PO:56OV:68
Michael McCarronAGE:29PO:56OV:68
Noel AcciariAGE:32PO:47OV:68
Sean MaloneAGE:29PO:56OV:67
Martin Pospisil (R)AGE:25PO:70OV:66
Logan BrownAGE:26PO:60OV:66
Semyon Der-Arguchintsev (R)AGE:24PO:70OV:64
Pavel TyutnevAGE:22PO:78OV:63
Justin KirklandAGE:28PO:61OV:63
Jere Lassila (R)AGE:20PO:80OV:62
Dan O'ReganAGE:30PO:53OV:62
Josh JoorisAGE:34PO:43OV:62
Jonathan HuberdeauAGE:31PO:56OV:81
Sean MonahanAGE:30PO:58OV:79
Brandon SaadAGE:32PO:54OV:76
Martin NecasAGE:25PO:66OV:75
Brandon HagelAGE:26PO:66OV:72
Fabian ZetterlundAGE:25PO:68OV:68
Devin ShoreAGE:30PO:56OV:68
Michael McCarronAGE:29PO:56OV:68
Noel AcciariAGE:32PO:47OV:68
Miles WoodAGE:29PO:59OV:67
Martin Pospisil (R)AGE:25PO:70OV:66
Logan BrownAGE:26PO:60OV:66
Vitali KravtsovAGE:24PO:68OV:65
Nikolai KovalenkoAGE:25PO:66OV:65
Michael Dal ColleAGE:28PO:59OV:65
Semyon Der-Arguchintsev (R)AGE:24PO:70OV:64
Pavel TyutnevAGE:22PO:78OV:63
Justin KirklandAGE:28PO:61OV:63
Nicholas CaamanoAGE:26PO:60OV:63
Kenny AgostinoAGE:32PO:46OV:63
Patrik Puistola (R)AGE:23PO:70OV:62
Taro HiroseAGE:28PO:62OV:62
Tyler Weiss (R)AGE:24PO:70OV:61
Denis SmirnovAGE:27PO:58OV:58

Défense #1Défense #2Gardien
Adam FoxAGE:26PO:66OV:78
Miro HeiskanenAGE:25PO:68OV:74
Devon ToewsAGE:30PO:51OV:74
Janis MoserAGE:24PO:70OV:68
Alex Vlasic (R)AGE:23PO:70OV:68
Josh MahuraAGE:26PO:66OV:68
Tyler TuckerAGE:24PO:68OV:66
Libor HajekAGE:26PO:64OV:65
Dillon HeatheringtonAGE:29PO:54OV:65
Mattias Norlinder (R)AGE:24PO:70OV:64
Stefan ElliottAGE:33PO:43OV:64
Scott PerunovichAGE:26PO:60OV:63
Dysin MayoAGE:28PO:57OV:63
Cameron CrottyAGE:25PO:60OV:62
Philip SamuelssonAGE:33PO:47OV:62
Juuse SarosAGE:29PO:57OV:77
Cory SchneiderAGE:38PO:22OV:69
Akira Schmid (R)AGE:24PO:70OV:67
Evan CowleyAGE:29PO:57OV:65
Colton PointAGE:26PO:60OV:61

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Aaron HuglenStars10155
Albert SjobergStars13153
Anthony SpellacyStars16126
Anton WahlbergStars15500Lien
Antti SaarelaStars10103
Brennan AliStars141440Lien
Calle ClangStars11122
Carter GeorgeStars1659
Charles LeddyStars141580Lien
Cole BeaudoinStars1633
Cole KnubleStars141380Lien
Connor McclennonStars1193
Daniil OrlovStars141600Lien
Danil GushchinStars1167
Danill KarpovichStars151590Lien
Dmitri KostenkoStars13109
Domenick FensoreStars10123
Drew FortescueStars151040Lien
Easton CowanStars15820Lien
Eemil VinniStars1678
Eric EmeryStars1646
Graham SwardStars141590Lien
Ilya NikolaevStars1053
Jacob FowlerStars15890Lien
Jamieson ReesStars1050
Juraj PekarcikStars15600Lien
Kirill KirsanovStars1375
Lenni HameenahoStars15700Lien
Liam Dower nilssonStars13105
Ludvig JanssonStars141140Lien
Maksim BerezkinStars11125
Marco KasperStars1418
Markus VidicekStars141510Lien
Matteo MannStars151560Lien
Matvei ShuravinStars1657
Maxim CajkovicStars1063
Michael DipietroStars851
Nate DanielsonStars15180Lien
Nikita ChibrikovStars1327
Olof LindbomStars9152
Otto SalinStars14820Lien
Philip BrobergStars109
Rhett PitlickStars10148
Riley PattersonStars16125
Ryder DonovanStars10127
Scott RatzlaffStars15880Lien
Sean TschigerlStars13121
Taylor GauthierStars10111
Ty NelsonStars1450
Ty YoungStars141460Lien
Vasily PodkolzinStars1011
Vinzenz RohrerStars14870Lien
Will CranleyStars11112
Yegor RimashevskiyStars151490Lien
Zachary SchulzStars151140Lien
Zachary UensStars11154

Choix au repêchage

Année R1R2R3R4R5
17
18
19
20
21
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Stars Historique de transactions

[2024-11-08 20:40:47] - TRADE : From Stars to Panthers : Jonas Rondbjerg (63).
[2024-11-08 20:40:47] - TRADE : From Panthers to Stars : Y:17-RND:4-Flo.
[2024-08-29 12:21:37] - TRADE : From Avalanches to Stars : Denis Smirnov (58), Y:17-RND:4-Col.
[2024-08-29 12:21:37] - TRADE : From Stars to Avalanches : Michael Carcone (67).
[2024-08-18 21:29:23] - Michael McCarron signed with Stars for $900,000 for 1 year(s) / Option : No Trade.
[2024-08-18 21:29:23] - Michael McCarron was added to Stars.
[2024-07-10 11:40:59] - Taro Hirose signed with Stars for $750,000 for 1 year(s).
[2024-07-10 11:40:59] - Taro Hirose was added to Stars.
[2024-07-10 11:39:45] - Dan O'Regan signed with Stars for $850,000 for 2 year(s).
[2024-07-10 11:39:45] - Dan O'Regan was added to Stars.
[2024-07-10 11:33:48] - Nikolai Kovalenko has been selected as assistant for StarsF.
[2024-07-10 11:33:48] - Unknown Player is no longer as assistant for StarsF.
[2024-07-10 11:33:48] - Dillon Heatherington has been selected as assistant for StarsF.
[2024-07-10 11:33:48] - Unknown Player is no longer as assistant for StarsF.
[2024-07-10 11:33:48] - Miles Wood has been selected as captain for StarsF.
[2024-07-10 11:33:48] - Unknown Player is no longer captain for StarsF.
[2024-07-07 20:42:22] - Miles Wood signed with Stars for $2,000,000 for 2 year(s).
[2024-07-07 20:42:22] - Miles Wood was added to Stars.
[2024-07-07 20:41:23] - Kenny Agostino signed with Stars for $800,000 for 1 year(s).
[2024-07-07 20:41:23] - Kenny Agostino was added to Stars.
[2024-07-02 16:20:06] - Libor Hajek signed with Stars for $4,000,000 for 1 year(s).
[2024-07-02 16:20:06] - Libor Hajek was added to Stars.
[2024-06-18 15:38:24] - Martin Pospisil signed with Stars for $900,000 for 1 year(s).
[2024-06-18 15:38:24] - Martin Pospisil was added to Stars.
[2024-06-18 15:25:08] - Jere Lassila was added to Stars.
[2024-06-18 15:25:08] - Mattias Norlinder was added to Stars.
[2024-06-18 15:25:08] - Semyon Der-Arguchintsev was added to Stars.
[2024-06-18 15:25:08] - Patrik Puistola was added to Stars.
[2024-06-18 15:25:08] - Tyler Weiss was added to Stars.



[2024-11-18 20:37:14] Last 7 Days Farm Star : 1 - Miles Wood of StarsF (3-4-7) / 2 - Viktor Svedberg of Checkers (3-3-6) / 3 - Joseph Veleno of Monsters (4-2-6)
[2024-11-18 20:37:03] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2024-11-18 20:35:34] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2024-11-18 20:35:18] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:24.48.8.224 .
[2024-11-16 13:06:21] Game 533 - Scott Perunovich from StarsF is injured (Upper Body) and is out for 1 week.
[2024-11-16 13:06:10] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2024-11-16 13:05:58] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2024-11-12 19:54:08] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:108.171.88.176 .
[2024-11-12 19:53:50] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:108.171.88.176 .
[2024-11-11 09:56:13] Auto Lines Partial Function has been run for StarsF.
[2024-11-11 09:56:13] Auto Roster Farm Only Function has been run for Stars.
[2024-11-11 09:56:13] StarsF roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-11-09 16:32:52] Auto Lines Partial Function has been run for StarsF.
[2024-11-09 16:32:52] Auto Roster Farm Only Function has been run for Stars.
[2024-11-09 16:32:52] StarsF roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.



Scott Perunovich est dehors pour 4 jours à cause de Upper Body Injury.



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
1Anze Kopitar113587112935307625052611.03%19215419.06102333102000010755.96%11.2017
2Jonathan Huberdeau1164278120286915513241710.07%13220819.0410243488000011248.95%01.0927
3Sean Monahan117475810574417820735513.24%8217618.6016183492000010451.04%40.9614
4Adam Fox1171677930901041272097.66%115262022.391220321280000320%00.7111
5Martin Necas117355590104811213033110.57%14220318.84817256700007152.05%00.8224

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
1Juuse Saros103632970.8992.78598116527727420210.73719
2Cory Schneider2311610.9042.82108421515330000.63611

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
Saison régulière
15824725032322922306241231302021143120234124120121114911039110292520812141008410211271986690292551233868857611902985919.80%2254779.11%21598301153.07%1408270352.09%672130651.45%2033143918885791033525
16351610034201171011618960021057552177403210604614461172103270231513061085312403357189382882905261523422.37%1182578.81%1674128852.33%570116049.14%30355254.89%896631775253446227
Total Saison régulière117633506652409331785932190223120017525583116044212091565315640973011391613113513217380411781305128269327697686617164509320.67%3437279.01%32272429952.85%1978386351.20%975185852.48%2930207126648331480752
Séries éliminatoires
151165000003235-36420000021201523000001115-41232589000810122359101991441534210110216846613.04%34294.12%023244751.90%21339653.79%10617361.27%2902052578014071
Total Séries éliminatoires1165000003235-36420000021201523000001115-41232589000810122359101991441534210110216846613.04%34294.12%023244751.90%21339653.79%10617361.27%2902052578014071

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
1Adam Fox112911318571414.29%1926424.07011100000000%00.8300
2Sean Monahan115510-4611172420.83%120118.282241100002056.99%00.9900
3Martin Necas1164102410123716.22%221819.861341100000161.54%00.9200
4Anze Kopitar11459321017557.27%421919.99011700011055.26%00.8200
5Devon Toews11279410133633.33%925122.8301120000000%00.7200

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
1Juuse Saros116410.8913.37624203532100000
2Cory Schneider20001.0000620002100000