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Dallas Stars
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 5 | GA: 11 | PP%: 27.27% | PK%: 75.00%
DG: Mathieu DG | Morale : 46 | Moyenne d’équipe : 74
Prochains matchs #56 vs Colorado Avalanche

Centre de jeu
Dallas Stars
0-3-0, 0pts
3
FINAL
5 Utah Mammoth
2-1-0, 4pts
Team Stats
L3SéquenceL1
0-1-0Fiche domicile1-1-0
0-2-0Fiche visiteur1-0-0
0-3-0Derniers 10 matchs2-1-0
1.67Buts par match 3.67
3.67Buts contre par match 3.67
27.27%Pourcentage en avantage numérique37.50%
75.00%Pourcentage en désavantage numérique66.67%
Dallas Stars
0-3-0, 0pts
1
FINAL
4 Nashville Predators
2-1-0, 4pts
Team Stats
L3SéquenceW2
0-1-0Fiche domicile1-1-0
0-2-0Fiche visiteur1-0-0
0-3-0Derniers 10 matchs2-1-0
1.67Buts par match 3.67
3.67Buts contre par match 2.00
27.27%Pourcentage en avantage numérique18.18%
75.00%Pourcentage en désavantage numérique90.00%
Colorado Avalanche
2-0-0, 4pts
Jour 6
Dallas Stars
0-3-0, 0pts
Statistiques d’équipe
W2SéquenceL3
1-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
2-0-010 derniers matchs0-3-0
4.50Buts par match 1.67
2.00Buts contre par match 1.67
16.67%Pourcentage en avantage numérique27.27%
100.00%Pourcentage en désavantage numérique75.00%
Dallas Stars
0-3-0, 0pts
Jour 7
Winnipeg Jets
1-1-1, 3pts
Statistiques d’équipe
L3SéquenceL1
0-1-0Fiche domicile1-0-0
0-2-0Fiche visiteur0-1-1
0-3-010 derniers matchs1-1-1
1.67Buts par match 3.00
3.67Buts contre par match 3.00
27.27%Pourcentage en avantage numérique33.33%
75.00%Pourcentage en désavantage numérique90.00%
Minnesota Wild
2-1-0, 4pts
Jour 10
Dallas Stars
0-3-0, 0pts
Statistiques d’équipe
W1SéquenceL3
1-0-0Fiche domicile0-1-0
1-1-0Fiche visiteur0-2-0
2-1-010 derniers matchs0-3-0
3.67Buts par match 1.67
3.33Buts contre par match 1.67
21.43%Pourcentage en avantage numérique27.27%
50.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Cole PerfettiButs
Cole Perfetti
2
Evan BouchardPasses
Evan Bouchard
3
Evan BouchardPoints
Evan Bouchard
3
Evan BouchardPlus/Moins
Evan Bouchard
1
Joel HoferVictoires
Joel Hofer
0
Joel HoferPourcentage d’arrêts
Joel Hofer
0.859

Statistiques d’équipe
Buts pour
5
1.67 GFG
Tirs pour
91
30.33 Avg
Pourcentage en avantage numérique
27.3%
3 GF
Début de zone offensive
43.7%
Buts contre
11
3.67 GAA
Tirs contre
76
25.33 Avg
Pourcentage en désavantage numérique
75.0%%
3 GA
Début de la zone défensive
36.0%
Informations de l'équipe

Directeur généralMathieu DG
EntraîneurDominik Hasek
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomAmerican Airlines Center
Capacité19,000
Assistance0
Billets de saison17,670


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 60
Espoirs12


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible95,500,000$
Valeur du plafond salarial spécial6,000,000$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,000,000$
Compte bancaire projeté20,000,000$


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 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
1Jack HughesXXX100.006342909075918492628584708973690478102458,000,000$
2Cole PerfettiXXX100.007142918778858184527977728363530477602313,250,000$
3David PerronXX100.007742807476859078507273687593840477503714,000,000$
4Kevin HayesXX100.007243927385848979817374707585750477503317,142,857$
5Kevin StenlundXX100.007241737585858677867073767576660477502912,000,000$
6Sam SteelXXX100.007154807776858675777668757376660477402722,100,000$
7Luke KuninXXX100.00807367767985877569677173747969047730271775,000$
8Nico SturmX100.007757887484838573916868737176660477303022,000,000$
9Mackie SamoskevichX100.00724184797275717542717066755550047700221775,000$
10David GustafssonXXX100.00634383748378766876646369687363047690251835,000$
11Colton DachX100.00744473717774636650636165665150047650221825,000$
12Matej BlumelX100.00624270716467656945656762695350047650251875,000$
13Evan BouchardX100.0069417890818987934088828488766604782025410,500,000$
14Justin FaulkX100.007346777682919382407968817589840477903326,500,000$
15Owen PowerX100.006641887693918285408071817763530477702258,350,000$
16Nick PerbixX100.007241907583847977407469787359500477402722,750,000$
17Egor ZamulaX100.006540857482838072407265747167580477202511,700,000$
18Jake ChristiansenX100.00664483747576757040666372696253047690262975,000$
Rayé
1Brett LeasonXX100.007342877389847974497168727263530477202600$
Équipe Mineure
1John HaydenX100.00705460678174726550596165647464050650302775,000$
2Jake LucchiniX100.00554370686374706561636158656253050630301775,000$
3Liam OhgrenX100.00644074697273646440616162655550050630212886,667$
4Isak RosenX100.00594174725963616645646259665050050620221894,167$
5Noah OstlundX100.00614168685761596142605964625050050610212886,667$
6Ville KoivunenX100.00574362675862616243696059635050050610221805,833$
7Alex DoucetX100.00604267646363615742565356585150050580231870,000$
8Viktor NeuchevX100.00574072675760576143605556615050050580211870,000$
9Justin ErtelX100.00614167626260585740555459575050050570222867,500$
10Vincent IorioX100.00664270666863616340595568615050050630221814,167$
11Zayne ParekhX100.00554065677275596040606059555150050620193942,500$
12Seamus CaseyX100.00584067675859576040595561615050050590212950,000$
13Alec RegulaX100.00614257576357555540545261555150050570252775,000$
14Sammy WalkerXXX100.005443717054686663446457576354500476102600$
15Samuel JohannessonX100.00554068645863626240625661615150047600241870,000$
16Travis MitchellX100.00585358606765636040545555595250047580251775,000$
MOYENNE D’ÉQUIPE100.0065447572727572705067646768625704868
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
1Dan Vladar100.00838382888681787880837768610487502823,350,000$
2Joel Hofer100.00838182758583808382837562560437502523,400,000$
Rayé
Équipe Mineure
1Jan Bednar100.00625757656159605861595450500485602300$
2Jared Moe100.00524848575046454444504452500484602600$
MOYENNE D’ÉQUIPE100.007067677171676666676963585404763
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominik Hasek1111111CZE6051$


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
1Evan BouchardDallas StarsD3033100348560%47023.490114900009000%000000.8500000000
2Cole PerfettiDallas StarsC/LW/RW3202-14036121416.67%16722.4110129000070016.67%600000.6000000001
3David PerronDallas StarsLW/RW3202-3402391722.22%05117.1810158000000016.67%600000.7800000000
4Jack HughesDallas StarsC/LW/RW3022-10056146110%05919.8001119000000038.46%1300000.6700000000
5Justin FaulkDallas StarsD3022140348260%36822.710115800008000%000000.5900000000
6Kevin HayesDallas StarsC/RW3011-160214550%16220.76011113000000052.44%8200000.3200000000
7Mackie SamoskevichDallas StarsRW3101-1200174314.29%03511.9510128000000016.67%600000.5600000000
8Nick PerbixDallas StarsD3011-420423100%26622.120112800009000%000000.3000000000
9Owen PowerDallas StarsD3011-420273210%06923.1201129000011000%000000.2900000000
10Colton DachDallas StarsC3000-100512010%0217.120000000000000%10000000000000
11David GustafssonDallas StarsC/LW/RW3000-100131030%0217.1300000000000050.00%200000000000000
12Egor ZamulaDallas StarsD3000-340510010%24214.260000000000000%00000000000000
13Jake ChristiansenDallas StarsD3000-300211050%14214.270000000002000%00000000000000
14Kevin StenlundDallas StarsC/RW3000-3003810230%05217.38000000001110065.71%700000000000000
15Luke KuninDallas StarsC/LW/RW3000-300422220%05618.87000040000110066.67%90000000000000
16Matej BlumelDallas StarsRW3000-100103030%1217.010000000000000%00000000000000
17Nico SturmDallas StarsC3000-100333030%0289.5800000000010040.00%50000000000000
18Sam SteelDallas StarsC/LW/RW3000-100581010%13712.5600000000090055.81%430000000000000
Statistiques d’équipe totales ou en moyenne5451015-3028053619131655.49%1687516.2136924900001820053.26%26100000.3400000001
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
1Dan VladarDallas Stars10000.8004.001500150000003000
2Joel HoferDallas Stars30300.8593.701620010710000030000
Statistiques d’équipe totales ou en moyenne40300.8553.73177001176000033000


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
Brett LeasonDallas StarsLW/RW261999-04-30CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Cole PerfettiDallas StarsC/LW/RW232002-01-01CANNo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,250,000$3,250,000$3,250,000$3,250,000$No---------------------------Lien NHL
Colton DachDallas StarsC222003-01-04CANNo196 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm825,000$825,000$825,000$825,000$No---------------------------Lien NHL
Dan VladarDallas StarsG281997-08-20CZENo209 Lbs6 ft5NoNoAssign ManuallyNoYes22025-07-02FalseFalsePro & Farm3,350,000$3,350,000$3,350,000$3,350,000$No3,350,000$--------3,350,000$--------No--------Lien NHL
David GustafssonDallas StarsC/LW/RW252000-04-11SWENo196 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm835,000$835,000$835,000$835,000$No---------------------------Lien NHL
David PerronDallas StarsLW/RW371988-05-28CANNo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$4,000,000$No---------------------------Lien NHL
Egor ZamulaDallas StarsD252000-03-30RUSNo200 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm1,700,000$1,700,000$1,700,000$1,700,000$No---------------------------Lien NHL
Evan BouchardDallas StarsD251999-10-20CANNo192 Lbs6 ft3NoNoAssign ManuallyNoNo42025-07-02FalseFalsePro & Farm10,500,000$10,500,000$10,500,000$10,500,000$No10,500,000$10,500,000$10,500,000$------10,500,000$10,500,000$10,500,000$------NoNoNo------Lien NHL
Jack HughesDallas StarsC/LW/RW242001-05-14USANo175 Lbs5 ft11NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,000,000$8,000,000$8,000,000$8,000,000$No8,000,000$8,000,000$8,000,000$8,000,000$-----8,000,000$8,000,000$8,000,000$8,000,000$-----NoNoNoNo-----Lien NHL
Jake ChristiansenDallas StarsD261999-09-12CANNo197 Lbs6 ft0NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm975,000$975,000$975,000$975,000$No975,000$--------975,000$--------No--------Lien NHL
Joel HoferDallas StarsG252000-07-30CANNo179 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm3,400,000$3,400,000$3,400,000$3,400,000$No3,400,000$--------3,400,000$--------No--------Lien NHL
Justin FaulkDallas StarsD331992-03-20USANo214 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm6,500,000$6,500,000$6,500,000$6,500,000$No6,500,000$--------6,500,000$--------No--------Lien NHL
Kevin HayesDallas StarsC/RW331992-05-08USANo216 Lbs6 ft5NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm7,142,857$7,142,857$7,142,857$7,142,857$No---------------------------Lien NHL
Kevin StenlundDallas StarsC/RW291996-09-20SWENo213 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm2,000,000$2,000,000$2,000,000$2,000,000$No---------------------------Lien NHL
Luke KuninDallas StarsC/LW/RW271997-12-04USANo197 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-24FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien NHL
Mackie SamoskevichDallas StarsRW222002-11-15USANo180 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm775,000$775,000$775,000$775,000$No---------------------------Lien NHL
Matej BlumelDallas StarsRW252000-05-31CZENo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm875,000$875,000$875,000$875,000$No---------------------------
Nick PerbixDallas StarsD271998-06-15USANo206 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm2,750,000$2,750,000$2,750,000$2,750,000$No2,750,000$--------2,750,000$--------No--------Lien NHL
Nico SturmDallas StarsC301995-05-03DEUNo209 Lbs6 ft3NoNoTrade2025-09-17NoYes22025-07-02FalseFalsePro & Farm2,000,000$2,000,000$2,000,000$2,000,000$No2,000,000$--------2,000,000$--------No--------Lien NHL
Owen PowerDallas StarsD222002-11-22CANNo226 Lbs6 ft6NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,350,000$8,350,000$8,350,000$8,350,000$No8,350,000$8,350,000$8,350,000$8,350,000$-----8,350,000$8,350,000$8,350,000$8,350,000$-----NoNoNoNo-----Lien NHL
Sam SteelDallas StarsC/LW/RW271998-02-03CANNo189 Lbs6 ft0NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm2,100,000$2,100,000$2,100,000$2,100,000$No2,100,000$--------2,100,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.71200 Lbs6 ft21.813,338,231$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
70,102,857$47,925,000$26,850,000$26,850,000$16,350,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesKevin HayesCole Perfetti35023
2David PerronKevin StenlundLuke Kunin30032
3Nico SturmSam SteelMackie Samoskevich20122
4Colton DachDavid GustafssonMatej Blumel15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardJustin Faulk37014
2Owen PowerNick Perbix35023
3Jake ChristiansenEgor Zamula28041
4Egor ZamulaOwen Power0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesKevin HayesCole Perfetti60005
2David PerronKevin HayesMackie Samoskevich40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardOwen Power60005
2Justin FaulkNick Perbix40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundLuke Kunin50050
2Sam SteelCole Perfetti50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJustin Faulk55050
2Evan BouchardNick Perbix45050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Stenlund50050Evan BouchardOwen Power50050
2Sam Steel50050Justin FaulkNick Perbix50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack HughesCole Perfetti55014
2Kevin HayesCole Perfetti45023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardOwen Power50014
2Nick PerbixJustin Faulk50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole PerfettiKevin HayesJack HughesEvan BouchardOwen Power
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam SteelKevin StenlundLuke KuninEvan BouchardJustin Faulk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Perron, Sam Steel, Mackie SamoskevichLuke Kunin, Sam SteelNico Sturm
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Power, Egor Zamula, Jake ChristiansenEgor ZamulaJake Christiansen, Egor Zamula
Tirs de pénalité
Jack Hughes, Evan Bouchard, Cole Perfetti, Owen Power, David Perron
Gardien
#1 : Joel Hofer, #2 : Dan Vladar
Lignes d’attaque personnalisées en prolongation
Jack Hughes, Kevin Hayes, Cole Perfetti, David Perron, Kevin Stenlund, Mackie Samoskevich, Sam Steel, Nico Sturm, David Gustafsson, Luke Kunin
Lignes de défense personnalisées en prolongation
Evan Bouchard, Justin Faulk, Owen Power, Nick Perbix, Egor Zamula


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
1Nashville Predators1010000014-3000000000001010000014-300.0001230000102891180326814400.00%30100.00%05911451.75%489451.06%325360.38%2517226126
2St. Louis Blues1010000012-11010000012-10000000000000.000123001000268612024712183133.33%5180.00%05911451.75%489451.06%325360.38%2720206116
3Utah Mammoth1010000035-2000000000001010000035-200.0003690020103711131302038214250.00%4250.00%05911451.75%489451.06%325360.38%2618215126
Total30300000511-61010000012-12020000049-500.000510150030209128303307616285311327.27%12375.00%05911451.75%489451.06%325360.38%785663193719
_Since Last GM Reset30300000511-61010000012-12020000049-500.000510150030209128303307616285311327.27%12375.00%05911451.75%489451.06%325360.38%785663193719
_Vs Conference30300000511-61010000012-12020000049-500.000510150030209128303307616285311327.27%12375.00%05911451.75%489451.06%325360.38%785663193719
_Vs Division30300000511-61010000012-12020000049-500.000510150030209128303307616285311327.27%12375.00%05911451.75%489451.06%325360.38%785663193719

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
30L351015917616285300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3030000511
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000012
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000049
Derniers 10 matchs
WLOTWOTL SOWSOL
030000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11327.27%12375.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
28303303020
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
5911451.75%489451.06%325360.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
785663193719


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
19St. Louis Blues2Dallas Stars1LSommaire du match
219Dallas Stars3Utah Mammoth5LSommaire du match
434Dallas Stars1Nashville Predators4LSommaire du match
656Colorado Avalanche-Dallas Stars-
769Dallas Stars-Winnipeg Jets-
1089Minnesota Wild-Dallas Stars-
12107Winnipeg Jets-Dallas Stars-
13115Dallas Stars-Colorado Avalanche-
15136Dallas Stars-Chicago Blackhawks-
16146Dallas Stars-St. Louis Blues-
17155Nashville Predators-Dallas Stars-
21178Dallas Stars-Minnesota Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22188Utah Mammoth-Dallas Stars-
26210Chicago Blackhawks-Dallas Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 70,102,857$ 69,327,857$ 1$0$ 6,000,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 24 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,000,000$ 20,000,000$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 95,500,000$ 95,500,000$ -70,600,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jack HughesAGE:24PO:0OV:81
Cole PerfettiAGE:23PO:0OV:76
David PerronAGE:37PO:0OV:75
Sam SteelAGE:27PO:0OV:74
Luke KuninAGE:27PO:0OV:73
Brett LeasonAGE:26PO:0OV:72
David GustafssonAGE:25PO:0OV:69
Liam OhgrenAGE:21PO:0OV:63
Sammy WalkerAGE:26PO:0OV:61
Alex DoucetAGE:23PO:0OV:58
Viktor NeuchevAGE:21PO:0OV:58
Justin ErtelAGE:22PO:0OV:57
Jack HughesAGE:24PO:0OV:81
Cole PerfettiAGE:23PO:0OV:76
Kevin HayesAGE:33PO:0OV:75
Kevin StenlundAGE:29PO:0OV:75
Sam SteelAGE:27PO:0OV:74
Luke KuninAGE:27PO:0OV:73
Nico SturmAGE:30PO:0OV:73
David GustafssonAGE:25PO:0OV:69
Colton DachAGE:22PO:0OV:65
John HaydenAGE:30PO:0OV:65
Jake LucchiniAGE:30PO:0OV:63
Noah OstlundAGE:21PO:0OV:61
Sammy WalkerAGE:26PO:0OV:61
Jack HughesAGE:24PO:0OV:81
Cole PerfettiAGE:23PO:0OV:76
David PerronAGE:37PO:0OV:75
Kevin HayesAGE:33PO:0OV:75
Kevin StenlundAGE:29PO:0OV:75
Sam SteelAGE:27PO:0OV:74
Luke KuninAGE:27PO:0OV:73
Brett LeasonAGE:26PO:0OV:72
Mackie SamoskevichAGE:22PO:0OV:70
David GustafssonAGE:25PO:0OV:69
Matej BlumelAGE:25PO:0OV:65
Isak RosenAGE:22PO:0OV:62
Sammy WalkerAGE:26PO:0OV:61
Ville KoivunenAGE:22PO:0OV:61

Défense #1Défense #2Gardien
Evan BouchardAGE:25PO:0OV:82
Justin FaulkAGE:33PO:0OV:79
Owen PowerAGE:22PO:0OV:77
Nick PerbixAGE:27PO:0OV:74
Egor ZamulaAGE:25PO:0OV:72
Jake ChristiansenAGE:26PO:0OV:69
Vincent IorioAGE:22PO:0OV:63
Zayne ParekhAGE:19PO:0OV:62
Samuel JohannessonAGE:24PO:0OV:60
Seamus CaseyAGE:21PO:0OV:59
Travis MitchellAGE:25PO:0OV:58
Alec RegulaAGE:25PO:0OV:57
Dan VladarAGE:28PO:0OV:75
Joel HoferAGE:25PO:0OV:75
Jan BednarAGE:23PO:0OV:56
Jared MoeAGE:26PO:0OV:46

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
Arseny GritsyukDallas Stars2025148Fantasy DraftLien
Carter GeorgeDallas Stars202545Fantasy DraftLien
Charlie StramelDallas Stars2025109Fantasy DraftLien
Colby BarlowDallas Stars202584Fantasy DraftLien
Cole MckinneyDallas Stars2025173Fantasy DraftLien
Conrad FondrkDallas Stars2025301Fantasy DraftLien
Felix NilssonDallas Stars2025212Fantasy DraftLien
Kashawn AitchesonDallas Stars202537Fantasy Draft2025-07-26Lien
Topias LeinonenDallas Stars2025237Fantasy DraftLien
Trevor ConnellyDallas Stars202528Fantasy Draft2025-07-26Lien
Vadim MorozDallas Stars2025276Fantasy DraftLien
Victor EklundDallas Stars202520Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



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


Dallas Stars Historique de transactions

[2025-09-19 15:17:47] Oscar Dansk was released.
[2025-09-19 15:17:47] Martin Jones was released.
[2025-09-19 15:17:47] Aaron Dell was released.
[2025-09-19 15:17:47] Robbie Russo was released.
[2025-09-19 15:17:47] Nathan Sucese was released.
[2025-09-19 15:17:47] Kyle Mayhew was released.
[2025-09-19 15:17:47] Joseph Cecconi was released.
[2025-09-19 15:17:47] Blake Hillman was released.
[2025-09-19 15:17:47] Ashton Sautner was released.
[2025-09-17 18:43:39] TRADE : From Dallas Stars to Carolina Hurricanes : Troy Stecher (73).
[2025-09-17 18:43:39] TRADE : From Carolina Hurricanes to Dallas Stars : Nico Sturm (73).
[2025-09-10 23:09:55] Texas Stars hired Nicklas Lidstrom for $1 for 5 year(s).
[2025-09-10 23:09:47] Dallas Stars hired Dominik Hasek for $1 for 5 year(s).
[2025-07-26 09:33:16] TRADE : From Dallas Stars to Colorado Avalanche : John Carlson (82), Steven Stamkos (80).
[2025-07-26 09:33:16] TRADE : From Colorado Avalanche to Dallas Stars : Kashawn Aitcheson (P), Trevor Connelly (P), Y:2026-RND:4-COL.



Pas de blessure ou de suspension.


Dallas 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

Dallas 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

Dallas 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

Dallas 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

Dallas 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