Connexion

Stars
GP: 48 | W: 30 | L: 17 | OTL: 1 | P: 61
GF: 175 | GA: 148 | PP%: 20.00% | PK%: 78.87%
DG: Julien Gagné | Morale : 74 | Moyenne d’équipe : 73
#788 vs Kings
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Centre de jeu
GoldenKnights
21-23-3, 45pts
3
FINAL
2 Stars
30-17-1, 61pts
Team Stats
W3SéquenceW1
15-9-1Fiche domicile15-10-0
6-14-2Fiche visiteur15-7-1
6-3-1Derniers 10 matchs7-3-0
3.40Buts par match 3.65
3.68Buts contre par match 3.08
17.30%Pourcentage en avantage numérique20.00%
74.71%Pourcentage en désavantage numérique78.87%
Sharks
25-19-4, 54pts
1
FINAL
5 Stars
30-17-1, 61pts
Team Stats
L1SéquenceW1
13-8-3Fiche domicile15-10-0
12-11-1Fiche visiteur15-7-1
5-5-0Derniers 10 matchs7-3-0
3.48Buts par match 3.65
3.23Buts contre par match 3.08
22.35%Pourcentage en avantage numérique20.00%
76.80%Pourcentage en désavantage numérique78.87%
Stars
30-17-1, 61pts
2023-12-11
Kings
26-20-3, 55pts
Statistiques d’équipe
W1SéquenceW2
15-10-0Fiche domicile13-10-2
15-7-1Fiche visiteur13-10-1
7-3-010 derniers matchs5-4-1
3.65Buts par match 3.31
3.08Buts contre par match 3.31
20.00%Pourcentage en avantage numérique22.54%
78.87%Pourcentage en désavantage numérique75.78%
Flames
23-19-7, 53pts
2023-12-14
Stars
30-17-1, 61pts
Statistiques d’équipe
W1SéquenceW1
12-10-2Fiche domicile15-10-0
11-9-5Fiche visiteur15-7-1
5-5-010 derniers matchs7-3-0
2.80Buts par match 3.65
2.73Buts contre par match 3.65
16.09%Pourcentage en avantage numérique20.00%
80.60%Pourcentage en désavantage numérique78.87%
Stars
30-17-1, 61pts
2023-12-16
BlackHawks
27-17-4, 58pts
Statistiques d’équipe
W1SéquenceW1
15-10-0Fiche domicile18-3-3
15-7-1Fiche visiteur9-14-1
7-3-010 derniers matchs5-2-3
3.65Buts par match 3.15
3.08Buts contre par match 3.15
20.00%Pourcentage en avantage numérique23.12%
78.87%Pourcentage en désavantage numérique84.02%
Meneurs d'équipe
Buts
Anze Kopitar
25
Passes
Jonathan Huberdeau
36
Points
Anze Kopitar
56
Plus/Moins
Janis Moser
20
Victoires
Juuse Saros
26
Pourcentage d’arrêts
Cory Schneider
0.9

Statistiques d’équipe
Buts pour
175
3.65 GFG
Tirs pour
1526
31.79 Avg
Pourcentage en avantage numérique
20.0%
32 GF
Début de zone offensive
40.9%
Buts contre
148
3.08 GAA
Tirs contre
1445
30.10 Avg
Pourcentage en désavantage numérique
78.9%%
30 GA
Début de la zone défensive
40.0%
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
Assistance16,779
Billets de saison8,800


Informations de la formation

Équipe Pro20
Équipe Mineure27
Limite contact 47 / 55
Espoirs58


Plafond salarial Non Activé

Cap Salarial de la Saison estimé74,450,000$
Plafond salarial disponible2,450,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour39,662,847$
Dépenses annuelles à ce jour43,927,188$
Revenus de la saison estimés25,384,222$
Dépenses de la saison estimées30,885,975$
Compte bancaire actuel50,062,553$
Compte bancaire projeté44,795,874$


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)X100.00624391747795919990999293899999348283036210,350,000$
2Jonathan HuberdeauX100.0067458980749592997698867689919959668103039,000,000$
3T.J. OshieX100.0074438574669387888488868082949227817803617,500,000$
4Sean Monahan (A)X100.0069419275769490917984847183969961817802918,000,000$
5Brandon SaadX100.0060479572749490817182787477949457827503137,000,000$
6Cam AtkinsonX100.0065408774679491776782807880998839817403415,000,000$
7Martin NecasX100.006645928071929085798377778269696881740241900,000$
8Loui ErikssonX100.00503499687089867868798476829493248173N0381900,000$
9Brandon HagelX99.006845837569869079677878767564646881700252900,000$
10Fabian ZetterlundX100.006745947370787276687776756950496881680242900,000$
11John HaydenX100.0069549171747578736572667656705854826702811,700,000$
12Michael McLeodX100.007366877269789172827368756365486081670252900,000$
13Adam Fox (A)X100.0063479279719392944593778067748768797702527,150,000$
14Oscar KlefbomX100.0067429374779690744578767863808557687403015,750,000$
15Miro Heiskanen (R)X100.006645878070949080458471756570707081730243900,000$
16Timothy LiljegrenX100.007145867571788880457571766270557042700242900,000$
17Janis Moser (R)X100.006745867268869074457469776360457081680233900,000$
18Mario FerraroX100.007647877470849073457363785662476881680251900,000$
Rayé
Équipe Mineure
1Devin ShoreX100.0066459473727077717371667164686959786602921,700,000$
2Michael CarconeX100.0069458373688073735970757173544864786602721,700,000$
3Logan BrownX100.006545907275728173707172737154486081650252900,000$
4Nikolai KovalenkoX100.006745907368727271656868746550476878640242750,000$
5Vitali Kravtsov (R)X100.006645907270727971616970716450457078640233900,000$
6Michael Dal ColleX100.0066459471727182706569676965564762786402722,000,000$
7Andrew YoganX100.0060518868746576677268667362685945786403211,000,000$
8Nicholas Caamano (R)X100.006745907272707069666768696445456076630253750,000$
9Justin KirklandX100.0067469973717069697565657063464564786302732,000,000$
10Jonas Rondbjerg (R)X100.006345897071707269616761755550456078620243900,000$
11Christian ThomasX100.005942997166677069596868696648455378620311900,000$
12Pavel Tyutnev (R)X100.006545857267707070706463695945458074610213750,000$
13Dillon HeatheringtonX100.0072667271757375694570607552625257716502821,500,000$
14Tyler TuckerX100.0072657274727873724570707368484570556502321,800,000$
15Stefan ElliottX100.0059449170706875714571726968584947786403221,400,000$
16Scott Perunovich (R)X100.006644907266707066456667715645456078630253750,000$
17Dysin MayoX100.006544857270717365456464685957506068630271750,000$
18Cameron Crotty (R)X100.006339857270707064456560724545456074620243750,000$
19Nikolai KuleminX100.0057379565726870666064646762837830206303711,400,000$
20Josh JoorisX100.0060469271716774686667666763645447196303321,400,000$
21Dick AxelssonX100.0066497868747070666764646263504830206103611,000,000$
22David RundbladX100.0058439471717070714570667264615047496403311,200,000$
23Philip SamuelssonX100.0066498669726972684565657163514550256303221,500,000$
24Tommy CrossX100.0060459270746567674563626762464542206103411,000,000$
MOYENNE D’ÉQUIPE99.98654689737178797461747173676460566968
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 Saros98.008892947687949194969393787660787602814,000,000$
2Cory Schneider100.0076817981777886828386788084248469N0372900,000$
Rayé
Équipe Mineure
1Christopher Gibson100.007775757778797979797780646353826503011,600,000$
2Colton Point (R)100.00778070827572827272767645456025600253750,000$
3Evan Cowley100.007571757979778378788179575560816402821,200,000$
MOYENNE D’ÉQUIPE99.6079807979798084818283816565517067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels72949289999961CAN565500,000$


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 KopitarStarsC4825315681810311122245412811.16%689918.741101136132000016554.47%118600011.2503100354
2Jonathan HuberdeauStarsLW4815365153955450151471189.93%689018.55381129122000015250.00%6000001.1503100343
3Sean MonahanStarsC4815254062007498107368914.02%085517.83651129134000002150.76%104600000.9313000422
4Martin NecasStarsRW4813263952004660124349110.48%586217.96371025136000003152.31%6500000.9023000122
5Adam FoxStarsD4853136-533546529130515.49%50105521.9849135113000009100%000000.6811000112
6Brandon SaadStarsLW4818173563153043118269515.25%885417.7936921134000002053.62%6900000.8211100132
7T.J. OshieStarsC48171734111606080123419513.82%683417.39134141290001503051.83%84900100.8101000420
8Brandon HagelStarsLW4815183391153532115447313.04%584717.653710251310003693131.11%4500010.7801010141
9Cam AtkinsonStarsRW4812183011140323896367712.50%1080216.7121311740001362030.38%7900000.7511000111
10Miro HeiskanenStarsD48524291122036255323259.43%5997020.22371030139000044000%000000.6000000103
11Loui ErikssonStarsRW487121922011329825607.14%1067814.1400000000000141.30%4600000.5612000111
12Mario FerraroStarsD4821517203005128279157.41%7987218.18000000000116000%000000.3900000013
13Janis MoserStarsD4821315201202834265177.69%6586818.09000020111126000%000000.3500000021
14Oscar KlefbomStarsD484913-12475402034132711.76%62102321.330116490000103000%000000.2500000000
15Timothy LiljegrenStarsD411910-152204919229234.55%3571417.43123730000066000%000000.2800000000
16Fabian ZetterlundStarsLW48347-1401211399277.69%74128.600000011251610121.43%2800000.3411000000
17John HaydenStarsRW48336-3001411366198.33%42535.2800000000001038.89%1800000.4700000001
18Michael McLeodStarsC48336-1100245827101411.11%114098.520000011241580051.29%58300000.2900000001
19Dillon HeatheringtonStarsF (Dal)D7011540731010%911917.0300000000011000%000000.1700000000
Statistiques d’équipe totales ou en moyenne86416531247782355356808061512457104510.91%4371422416.46306696284135023515956281251.23%407400120.67820310212827
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 SarosStars41261110.8973.02234812211811460000.7789417400
2Cory SchneiderStars114600.9003.3054620302990000.63611741100
Statistiques d’équipe totales ou en moyenne52301710.8983.0728951421481445000204848500


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 FoxStarsD251998-02-17No181 Lbs5 ft11NoNoN/ANoNo2Pro & Farm7,150,000$7,150,000$2,946,429$No7,150,000$--------No--------Lien
Anze KopitarStarsC361987-08-24No225 Lbs6 ft4NoNoN/ANoNo2Pro Only10,350,000$10,350,000$4,265,110$No10,350,000$--------No--------Lien
Brandon HagelStarsLW251998-08-27No175 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Brandon SaadStarsLW311992-10-27No215 Lbs6 ft1NoNoN/ANoNo3Pro & Farm7,000,000$7,000,000$2,884,615$No7,000,000$7,000,000$-------NoNo-------Lien
Cam AtkinsonStarsRW341989-06-05No176 Lbs5 ft8NoNoN/ANoNo1Pro Only5,000,000$5,000,000$2,060,440$No------------------Lien
Cory SchneiderStarsG371986-03-18No214 Lbs6 ft3YesNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------Yes--------Lien
Fabian ZetterlundStarsLW241999-08-25No220 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Janis MoserStarsD232000-06-06Yes173 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$900,000$370,879$No900,000$900,000$-------NoNo-------Lien
John HaydenStarsRW281995-02-14No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$700,549$No------------------Lien
Jonathan HuberdeauStarsLW301993-06-04No202 Lbs6 ft1NoNoN/ANoNo3Pro & Farm9,000,000$9,000,000$3,708,791$No9,000,000$9,000,000$-------NoNo-------Lien
Juuse SarosStarsG281995-04-19No180 Lbs5 ft11NoNoN/ANoNo1Pro & Farm4,000,000$4,000,000$1,648,352$No------------------Lien
Loui ErikssonStarsRW381985-07-17No179 Lbs6 ft2YesNoN/ANoNo1Pro Only900,000$900,000$370,879$No------------------Lien
Mario FerraroStarsD251998-09-17No209 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Martin NecasStarsRW241999-01-15No189 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Michael McLeodStarsC251998-02-03No188 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Miro HeiskanenStarsD241999-07-18Yes195 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$900,000$370,879$No900,000$900,000$-------NoNo-------Lien
Oscar KlefbomStarsD301993-07-20No220 Lbs6 ft3NoNoN/ANoNo1Pro & Farm5,750,000$5,750,000$2,369,505$No------------------Lien
Sean MonahanStarsC291994-10-12No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm8,000,000$8,000,000$3,296,703$No------------------Lien
T.J. OshieStarsC361986-12-23No187 Lbs6 ft0NoNoN/ANoNo1Pro Only7,500,000$7,500,000$3,090,659$No------------------Lien
Timothy LiljegrenStarsD241999-04-30No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.80197 Lbs6 ft11.753,722,500$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,450,000$39,800,000$17,800,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan HuberdeauAnze KopitarMartin Necas32023
2Brandon SaadSean MonahanLoui Eriksson30023
3Brandon HagelT.J. OshieCam Atkinson28023
4Fabian ZetterlundMichael McLeodJohn Hayden10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oscar KlefbomAdam Fox38041
2Miro HeiskanenJanis Moser31041
3Mario FerraroTimothy Liljegren31041
4Adam FoxMario Ferraro0023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan HuberdeauAnze KopitarT.J. Oshie50005
2Brandon SaadSean MonahanMartin Necas50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam AtkinsonAdam Fox50005
2Brandon HagelMiro Heiskanen50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael McLeodFabian Zetterlund65050
2T.J. OshieBrandon Hagel35050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Janis MoserMario Ferraro60050
2Oscar KlefbomTimothy Liljegren40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael McLeod60050Mario FerraroJanis Moser60050
2T.J. Oshie40050Oscar KlefbomTimothy Liljegren40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anze KopitarJonathan Huberdeau50122
2Sean MonahanBrandon Saad50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oscar KlefbomAdam Fox50122
2Miro HeiskanenJanis Moser50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan HuberdeauAnze KopitarT.J. OshieMiro HeiskanenAdam Fox
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan HuberdeauAnze KopitarT.J. OshieOscar KlefbomAdam Fox
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Atkinson, T.J. Oshie, Loui ErikssonCam Atkinson, Loui ErikssonCam Atkinson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mario Ferraro, Janis Moser, Miro HeiskanenOscar KlefbomMiro Heiskanen, Adam Fox
Tirs de pénalité
Jonathan Huberdeau, Anze Kopitar, Martin Necas, Sean Monahan, Loui Eriksson
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
1Avalanches522001001116-52110000047-33110010079-250.500112132002630159426651014251267014321.43%11372.73%0863166851.74%825163050.61%40378151.60%11882117356531
2BlackHawks11000000541110000005410000000000021.000591400122025810702451013100.00%5340.00%0863166851.74%825163050.61%40378151.60%2518226115
3BlueJacket11000000431110000004310000000000021.0004812003010311310803916613200.00%2150.00%0863166851.74%825163050.61%40378151.60%2418236126
4Blues311000101091210000109721010000012-140.66710152500333291352232697301241400.00%6183.33%0863166851.74%825163050.61%40378151.60%715177213618
5Bruins11000000312000000000001100000031221.00035800021026491303086123133.33%30100.00%0863166851.74%825163050.61%40378151.60%2215246136
6Canucks11000000817000000000001100000081721.00081422002420321012100281301511100.00%000%0863166851.74%825163050.61%40378151.60%2518207136
7Coyotes4220000012120211000005502110000077040.50012213301228014440574709325376320315.00%14471.43%0863166851.74%825163050.61%40378151.60%997091284924
8Devils11000000422000000000001100000042221.0004812001210317131103028143133.33%30100.00%0863166851.74%825163050.61%40378151.60%2517216136
9Ducks320010001156100010005412200000061561.0001121320142419638332417426165311218.18%8362.50%0863166851.74%825163050.61%40378151.60%755469203518
10GoldenKnights52300000181712020000058-332100000139440.400183452008370161565352018447596415320.00%21385.71%0863166851.74%825163050.61%40378151.60%11783121366029
11Hurricanes11000000431110000004310000000000021.00046100020202710611026122114125.00%10100.00%0863166851.74%825163050.61%40378151.60%2114256136
12Islanders10000010431100000104310000000000021.0004480020114015910112644196233.33%20100.00%1863166851.74%825163050.61%40378151.60%2417277136
13Jets21100000550110000003211010000023-120.50051015002210742628200691882410110.00%40100.00%0863166851.74%825163050.61%40378151.60%483347142412
14Kings11000000523000000000001100000052321.000510150012203210121002392215240.00%110.00%0863166851.74%825163050.61%40378151.60%2619217126
15Kraken422000002017321100000910-121100000117440.5002037570010820129514038013137344715426.67%16193.75%0863166851.74%825163050.61%40378151.60%956795274824
16Lightning1010000048-41010000048-40000000000000.0004711001030217770291169100.00%30100.00%0863166851.74%825163050.61%40378151.60%2013267125
17MapleLeafs1010000025-31010000025-30000000000000.000235001010297139029111713100.00%3233.33%0863166851.74%825163050.61%40378151.60%2517226126
18Oilers11000000523000000000001100000052321.00051015000140292111602811614200.00%3166.67%0863166851.74%825163050.61%40378151.60%2518225126
19Panthers1010000025-3000000000001010000025-300.00023500110024512703991212100.00%60100.00%0863166851.74%825163050.61%40378151.60%1912286125
20Penguins1010000023-11010000023-10000000000000.000246001010329101303714613200.00%3166.67%0863166851.74%825163050.61%40378151.60%2115267126
21Predators11000000321110000003210000000000021.00036900201033109140235610200.00%30100.00%0863166851.74%825163050.61%40378151.60%2719196127
22RedWings11000000422110000004220000000000021.00047110012102266100339014200.00%000%0863166851.74%825163050.61%40378151.60%2215256116
23Sabres11000000321000000000001100000032121.00036900021031915702878224125.00%4175.00%1863166851.74%825163050.61%40378151.60%2415227126
24Senators10000010541000000000001000001054121.0005813000135371410717234616400.00%2150.00%0863166851.74%825163050.61%40378151.60%2719238147
25Sharks3110100012102211000007611000100054140.66712233500524111336314248726395320525.00%13376.92%0863166851.74%825163050.61%40378151.60%775470213619
26Wild21100000954211000009540000000000020.50091322004140572218170732237237228.57%5180.00%0863166851.74%825163050.61%40378151.60%503643142512
Total482517021301751482725121001020888712313701110876126610.635175313488025948631015264925224933914454323736791603220.00%1423078.87%2863166851.74%825163050.61%40378151.60%11638221136341599303
_Since Last GM Reset482517021301751482725121001020888712313701110876126610.635175313488025948631015264925224933914454323736791603220.00%1423078.87%2863166851.74%825163050.61%40378151.60%11638221136341599303
_Vs Conference3619130211013410727189701010646041810601100704723450.62513424437802463847411753864023801110763252925111272620.47%1102478.18%0863166851.74%825163050.61%40378151.60%883629840254445225
_Vs Division1897001105553211730001038326724001001721-4210.5835595150011616222583183210188652115613624458915.52%481275.00%0863166851.74%825163050.61%40378151.60%440312419128225112

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4861W11753134881526144543237367902
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4825172130175148
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25121010208887
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2313711108761
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1603220.00%1423078.87%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
4925224933959486310
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
863166851.74%825163050.61%40378151.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11638221136341599303


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
2 - 2023-08-2614Stars5Sharks4AWXSommaire du match
3 - 2023-08-2719Stars3Avalanches2AWSommaire du match
5 - 2023-08-2939GoldenKnights5Stars3BLSommaire du match
8 - 2023-09-0157Stars5Kings2AWSommaire du match
10 - 2023-09-0372Avalanches5Stars1BLSommaire du match
12 - 2023-09-0590Coyotes3Stars1BLR3Sommaire du match
16 - 2023-09-09110Stars2Avalanches3ALXSommaire du match
18 - 2023-09-11123Blues4Stars5BWXXSommaire du match
19 - 2023-09-12126Stars4GoldenKnights2AWSommaire du match
22 - 2023-09-15154Jets2Stars3BWSommaire du match
24 - 2023-09-17161Stars9Kraken4AWSommaire du match
26 - 2023-09-19180Stars5Coyotes0AWR3Sommaire du match
28 - 2023-09-21194Kraken7Stars4BLSommaire du match
31 - 2023-09-24220Ducks4Stars5BWXSommaire du match
34 - 2023-09-27240Stars4GoldenKnights5ALSommaire du match
36 - 2023-09-29254Wild2Stars1BLSommaire du match
38 - 2023-10-01271Stars2Coyotes7ALR3Sommaire du match
40 - 2023-10-03282Stars4Devils2AWSommaire du match
41 - 2023-10-04291Wild3Stars8BWSommaire du match
44 - 2023-10-07310Lightning8Stars4BLSommaire du match
46 - 2023-10-09326Stars5GoldenKnights2AWSommaire du match
48 - 2023-10-11336Stars2Panthers5ALSommaire du match
49 - 2023-10-12353Sharks5Stars2BLSommaire du match
52 - 2023-10-15370Stars3Sabres2AWSommaire du match
54 - 2023-10-17383RedWings2Stars4BWSommaire du match
56 - 2023-10-19394Stars5Oilers2AWSommaire du match
58 - 2023-10-21412Penguins3Stars2BLSommaire du match
62 - 2023-10-25441Islanders3Stars4BWXXSommaire du match
65 - 2023-10-28461BlueJacket3Stars4BWSommaire du match
67 - 2023-10-30482Stars1Blues2ALSommaire du match
69 - 2023-11-01495Kraken3Stars5BWSommaire du match
71 - 2023-11-03508Stars5Senators4AWXXSommaire du match
73 - 2023-11-05527MapleLeafs5Stars2BLSommaire du match
75 - 2023-11-07543Stars2Jets3ALSommaire du match
76 - 2023-11-08551Stars3Ducks0AWSommaire du match
79 - 2023-11-11569BlackHawks4Stars5BWSommaire du match
83 - 2023-11-15595Predators2Stars3BWSommaire du match
85 - 2023-11-17616Stars3Ducks1AWSommaire du match
87 - 2023-11-19627Blues3Stars4BWSommaire du match
89 - 2023-11-21642Stars8Canucks1AWSommaire du match
91 - 2023-11-23655Stars2Avalanches4ALSommaire du match
92 - 2023-11-24665Hurricanes3Stars4BWSommaire du match
95 - 2023-11-27687Stars3Bruins1AWSommaire du match
96 - 2023-11-28696Coyotes2Stars4BWR3Sommaire du match
100 - 2023-12-02723Avalanches2Stars3BWSommaire du match
103 - 2023-12-05747Stars2Kraken3ALSommaire du match
105 - 2023-12-07758GoldenKnights3Stars2BLSommaire du match
107 - 2023-12-09780Sharks1Stars5BWSommaire du match
109 - 2023-12-11788Stars-Kings-
112 - 2023-12-14812Flames-Stars-
114 - 2023-12-16826Stars-BlackHawks-
115 - 2023-12-17836Stars-Canucks-
117 - 2023-12-19852Stars-Oilers-
119 - 2023-12-21860Canadiens-Stars-
122 - 2023-12-24886Predators-Stars-
124 - 2023-12-26902Stars-Rangers-
126 - 2023-12-28913GoldenKnights-Stars-
128 - 2023-12-30927Stars-Predators-
129 - 2023-12-31942Stars-Sharks-
131 - 2024-01-02954Jets-Stars-
134 - 2024-01-05974Stars-Sharks-
136 - 2024-01-07983Stars-Predators-
137 - 2024-01-08990Kings-Stars-
140 - 2024-01-111014Canucks-Stars-
142 - 2024-01-131029Stars-Blues-
145 - 2024-01-161048Capitals-Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181061Stars-Jets-
149 - 2024-01-201076Stars-RedWings-
151 - 2024-01-221088Canucks-Stars-
154 - 2024-01-251113Flyers-Stars-
156 - 2024-01-271133Stars-BlackHawks-
158 - 2024-01-291142BlackHawks-Stars-
161 - 2024-02-011166Stars-Flames-
162 - 2024-02-021172Stars-Wild-
163 - 2024-02-031183Kings-Stars-
167 - 2024-02-071206Stars-Flames-
168 - 2024-02-081215Ducks-Stars-
171 - 2024-02-111241Flames-Stars-
175 - 2024-02-151265Oilers-Stars-
176 - 2024-02-161273Stars-Wild-
178 - 2024-02-181292Oilers-Stars-
180 - 2024-02-201304Stars-BlueJacket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80006000300040001000
Prix des billets95603025190
Assistance150,894108,67160,26580,39119,251
Attendance PCT75.45%72.45%80.35%80.39%77.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 16779 - 76.27% 1,586,514$39,662,847$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
43,927,188$ 74,450,000$ 73,600,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
74,450,000$ 43,633,259$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
25,384,222$ 75 411,813$ 30,885,975$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
32,256,150$ 50,062,553$ 44,795,874$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,450,000$ 2,450,000$ 76,900,000$ 74,450,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jonathan HuberdeauAGE:30PO:59OV:81
Brandon SaadAGE:31PO:57OV:75
Brandon HagelAGE:25PO:68OV:70
Fabian ZetterlundAGE:24PO:68OV:68
Michael CarconeAGE:27PO:64OV:66
Michael Dal ColleAGE:27PO:62OV:64
Andrew YoganAGE:32PO:45OV:64
Nicholas Caamano (R)AGE:25PO:60OV:63
Nikolai KuleminAGE:37PO:30OV:63
Dick AxelssonAGE:36PO:30OV:61
Anze KopitarAGE:36PO:34OV:83
Sean MonahanAGE:29PO:61OV:78
T.J. OshieAGE:36PO:27OV:78
Michael McLeodAGE:25PO:60OV:67
Devin ShoreAGE:29PO:59OV:66
Logan BrownAGE:25PO:60OV:65
Justin KirklandAGE:27PO:64OV:63
Josh JoorisAGE:33PO:47OV:63
Pavel Tyutnev (R)AGE:21PO:80OV:61
Martin NecasAGE:24PO:68OV:74
Cam AtkinsonAGE:34PO:39OV:74
Loui ErikssonAGE:38PO:24OV:73
John HaydenAGE:28PO:54OV:67
Vitali Kravtsov (R)AGE:23PO:70OV:64
Nikolai KovalenkoAGE:24PO:68OV:64
Jonas Rondbjerg (R)AGE:24PO:60OV:62
Christian ThomasAGE:31PO:53OV:62

Défense #1Défense #2Gardien
Adam FoxAGE:25PO:68OV:77
Oscar KlefbomAGE:30PO:57OV:74
Miro Heiskanen (R)AGE:24PO:70OV:73
Timothy LiljegrenAGE:24PO:70OV:70
Janis Moser (R)AGE:23PO:70OV:68
Mario FerraroAGE:25PO:68OV:68
Tyler TuckerAGE:23PO:70OV:65
Dillon HeatheringtonAGE:28PO:57OV:65
Stefan ElliottAGE:32PO:47OV:64
David RundbladAGE:33PO:47OV:64
Scott Perunovich (R)AGE:25PO:60OV:63
Dysin MayoAGE:27PO:60OV:63
Philip SamuelssonAGE:32PO:50OV:63
Cameron Crotty (R)AGE:24PO:60OV:62
Tommy CrossAGE:34PO:42OV:61
Juuse SarosAGE:28PO:60OV:76
Cory SchneiderAGE:37PO:24OV:69
Christopher GibsonAGE:30PO:53OV:65
Evan CowleyAGE:28PO:60OV:64
Colton Point (R)AGE:25PO:60OV:60

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
Akira SchmidStars00
Albert SjobergStars13153
Alex VlasicStars1047
Anton WahlbergStars15500Lien
Antti SaarelaStars10103
Brennan AliStars141440Lien
Calle ClangStars11122
Charles LeddyStars141580Lien
Cole KnubleStars141380Lien
Connor McclennonStars1193
Daniil OrlovStars141600Lien
Danil GushchinStars1167
Danill KarpovichStars151590Lien
Dmitri KostenkoStars13109
Domenick FensoreStars10123
Drew FortescueStars151040Lien
Easton CowanStars15820Lien
Graham SwardStars141590Lien
Ilya NikolaevStars1053
Jacob FowlerStars15890Lien
Jamieson ReesStars1050
Jere LassilaStars141320Lien
Juraj PekarcikStars15600Lien
Kirill KirsanovStars1375
Lenni HameenahoStars15700Lien
Liam Dower nilssonStars13105
Ludvig JanssonStars141140Lien
Maksim BerezkinStars11125
Marco KasperStars1418
Markus VidicekStars141510Lien
Matteo MannStars151560Lien
Mattias NorlinderStars10107
Maxim CajkovicStars1063
Michael DipietroStars851
Nate DanielsonStars15180Lien
Nikita ChibrikovStars1327
Olof LindbomStars9152
Otto SalinStars14820Lien
Patrik PuistolaStars1049
Philip BrobergStars109
Rhett PitlickStars10148
Ryder DonovanStars10127
Scott RatzlaffStars15880Lien
Sean TschigerlStars13121
Semyon Der-ArguchintsevStars998
Shakir MukhamadullinStars1150
Taylor GauthierStars10111
Topias LeinonenStars1460
Ty NelsonStars1450
Ty YoungStars141460Lien
Tyler WeissStars9133
Vasily PodkolzinStars1011
Vinzenz RohrerStars14870Lien
Will CranleyStars11112
Yegor RimashevskiyStars151490Lien
Zachary SchulzStars151140Lien
Zachary UensStars11154

Choix au repêchage

Année R1R2R3R4R5
16
17
18
19
20
Choix au repêchage conditionnel



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


Stars Historique de transactions

[2023-09-28 11:25:13] - Adam Fox has been selected as assistant for Stars.
[2023-09-28 11:25:13] - Sean Monahan is no longer as assistant for Stars.
[2023-09-28 11:25:13] - Sean Monahan has been selected as assistant for Stars.
[2023-09-28 11:25:13] - Unknown Player is no longer as assistant for Stars.
[2023-09-17 21:38:22] - TRADE : From Stars to Kraken : Travis Sanheim (71), Noah Dobson (71), Nikita Kucherov (80).
[2023-09-17 21:38:22] - TRADE : From Kraken to Stars : Timothy Liljegren (70), Oscar Klefbom (74), Jonathan Huberdeau (81).
[2023-08-20 11:46:59] - Dillon Heatherington has been selected as assistant for StarsF.
[2023-08-20 11:46:59] - Andrew Yogan is no longer as assistant for StarsF.
[2023-08-20 11:46:59] - Andrew Yogan has been selected as assistant for StarsF.
[2023-08-20 11:46:59] - Unknown Player is no longer as assistant for StarsF.
[2023-08-20 11:46:59] - Devin Shore has been selected as captain for StarsF.
[2023-08-20 11:46:59] - Nikolai Kulemin is no longer captain for StarsF.
[2023-08-20 11:43:08] - TRADE : From Stars to Predators : Magnus Hellberg (63), Nathan Knoepke (60), Adam Marsh (60).
[2023-08-20 11:43:08] - TRADE : From Predators to Stars : Y:16-RND:5-Nas.
[2023-08-20 11:40:59] - TRADE : From Stars to Flyers : Tyler Motte (67), Y:16-RND:5-Dal.
[2023-08-20 11:40:59] - TRADE : From Flyers to Stars : Y:16-RND:3-Ott.
[2023-08-14 12:23:17] - Cory Schneider signed with Stars for $900,000 for 2 year(s) / Option : No Trade.
[2023-08-14 12:23:17] - Cory Schneider was added to Stars.
[2023-08-08 20:33:27] - Loui Eriksson signed with Stars for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:33:27] - Loui Eriksson was added to Stars.
[2023-08-01 11:45:45] - TRADE : From Kraken to Stars : John Hayden (67), Vinzenz Rohrer (P).
[2023-08-01 11:45:45] - TRADE : From Stars to Kraken : Jayce Hawryluk (66).
[2023-08-01 11:35:19] - TRADE : From Stars to Avalanches : Marcus Davidsson (64).
[2023-08-01 11:35:19] - TRADE : From Avalanches to Stars : Jayce Hawryluk (66).
[2023-07-30 13:31:23] - Danill Karpovich has been added to Stars.
[2023-07-30 13:31:23] - Matteo Mann has been added to Stars.
[2023-07-30 13:31:23] - Yegor Rimashevskiy has been added to Stars.
[2023-07-30 13:31:23] - Zachary Schulz has been added to Stars.
[2023-07-30 13:31:23] - Drew Fortescue has been added to Stars.
[2023-07-30 13:31:23] - Jacob Fowler has been added to Stars.
[2023-07-30 13:31:23] - Scott Ratzlaff has been added to Stars.
[2023-07-30 13:31:23] - Easton Cowan has been added to Stars.
[2023-07-30 13:31:23] - Lenni Hameenaho has been added to Stars.
[2023-07-30 13:31:23] - Juraj Pekarcik has been added to Stars.
[2023-07-30 13:31:23] - Anton Wahlberg has been added to Stars.
[2023-07-30 13:31:23] - Nate Danielson has been added to Stars.
[2023-07-17 10:19:22] - Michael Dal Colle signed with Stars for 2 000 000 $ for 2 year(s).
[2023-07-17 10:19:22] - Michael Dal Colle was added to Stars.
[2023-07-17 10:18:27] - Justin Kirkland signed with Stars for 2 000 000 $ for 3 year(s).
[2023-07-17 10:18:27] - Justin Kirkland was added to Stars.
[2023-07-03 21:15:23] - Tyler Tucker signed with Stars for 1 800 000 $ for 2 year(s).
[2023-07-03 21:15:23] - Tyler Tucker was added to Stars.
[2023-07-03 21:10:26] - Devin Shore signed with Stars for 1 700 000 $ for 2 year(s).
[2023-07-03 21:10:26] - Devin Shore was added to Stars.
[2023-07-03 21:01:06] - SCOTT PERUNOVICH was added to Stars.
[2023-07-03 21:01:05] - NICHOLAS CAAMANO was added to Stars.



[2023-12-05 13:02:05] Successfully loaded Stars lines done with STHS Client - 3.3.5.5
[2023-12-04 13:00:44] Auto Lines Partial Function has been run for StarsF.
[2023-12-04 13:00:44] Auto Roster Farm Only Function has been run for Stars.
[2023-12-04 13:00:44] StarsF roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2023-12-02 21:25:46] Evan Cowley from StarsF is back from Exhaustion.
[2023-12-01 21:38:50] Evan Cowley from StarsF injured (Exhaustion)
[2023-11-27 19:27:52] Successfully loaded Stars lines done with STHS Client - 3.3.5.5
[2023-11-27 19:27:52] Dillon Heatherington of Stars was sent down to farm.
[2023-11-26 19:22:56] Auto Lines Partial Function has been run for StarsF.
[2023-11-26 19:22:56] Auto Roster Farm Only Function has been run for Stars.
[2023-11-26 19:22:56] StarsF roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.



Pas de blessure ou de suspension.


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

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

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

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

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