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Dallas Stars
GP: 16 | W: 10 | L: 6 | OTL: 0 | P: 20
GF: 52 | GA: 57 | PP%: 30.00% | PK%: 74.47%
DG: Mathieu DG | Morale : 50 | Moyenne d’équipe : 73
Prochains matchs #258 vs Ottawa Senators

Centre de jeu
Dallas Stars
10-6-0, 20pts
3
FINAL
7 Nashville Predators
9-9-0, 18pts
Team Stats
W1SéquenceW3
5-4-0Fiche domicile7-4-0
5-2-0Fiche visiteur2-5-0
7-3-0Derniers 10 matchs5-5-0
3.25Buts par match 4.22
3.56Buts contre par match 4.00
30.00%Pourcentage en avantage numérique29.51%
74.47%Pourcentage en désavantage numérique73.75%
Seattle Kraken
10-5-0, 20pts
1
FINAL
5 Dallas Stars
10-6-0, 20pts
Team Stats
L1SéquenceW1
4-3-0Fiche domicile5-4-0
6-2-0Fiche visiteur5-2-0
6-4-0Derniers 10 matchs7-3-0
3.07Buts par match 3.25
2.67Buts contre par match 3.56
20.83%Pourcentage en avantage numérique30.00%
80.33%Pourcentage en désavantage numérique74.47%
Dallas Stars
10-6-0, 20pts
Jour 36
Ottawa Senators
4-10-2, 10pts
Statistiques d’équipe
W1SéquenceW1
5-4-0Fiche domicile3-4-1
5-2-0Fiche visiteur1-6-1
7-3-010 derniers matchs2-7-1
3.25Buts par match 2.94
3.56Buts contre par match 2.94
30.00%Pourcentage en avantage numérique15.00%
74.47%Pourcentage en désavantage numérique74.63%
Dallas Stars
10-6-0, 20pts
Jour 38
Montreal Canadiens
7-7-1, 15pts
Statistiques d’équipe
W1SéquenceW1
5-4-0Fiche domicile5-2-0
5-2-0Fiche visiteur2-5-1
7-3-010 derniers matchs5-4-1
3.25Buts par match 4.00
3.56Buts contre par match 4.00
30.00%Pourcentage en avantage numérique22.58%
74.47%Pourcentage en désavantage numérique78.95%
Philadelphia Flyers
5-7-3, 13pts
Jour 40
Dallas Stars
10-6-0, 20pts
Statistiques d’équipe
W1SéquenceW1
4-4-2Fiche domicile5-4-0
1-3-1Fiche visiteur5-2-0
5-4-110 derniers matchs7-3-0
3.13Buts par match 3.25
3.73Buts contre par match 3.25
21.28%Pourcentage en avantage numérique30.00%
83.08%Pourcentage en désavantage numérique74.47%
Meneurs d'équipe
David PerronButs
David Perron
8
Jack HughesPasses
Jack Hughes
13
Jack HughesPoints
Jack Hughes
18
Justin FaulkPlus/Moins
Justin Faulk
2
Joel HoferVictoires
Joel Hofer
5
Dan VladarPourcentage d’arrêts
Dan Vladar
0.896

Statistiques d’équipe
Buts pour
52
3.25 GFG
Tirs pour
409
25.56 Avg
Pourcentage en avantage numérique
30.0%
15 GF
Début de zone offensive
37.7%
Buts contre
57
3.56 GAA
Tirs contre
501
31.31 Avg
Pourcentage en désavantage numérique
74.5%%
12 GA
Début de la zone défensive
42.3%
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
Assistance18,320
Billets de saison17,670


Informations de la formation

Équipe Pro22
Équipe Mineure17
Limite contact 39 / 60
Espoirs14


Plafond salarial

Cap Salarial de la Saison estimé72,852,857$
Plafond salarial disponible22,647,143$
Valeur du plafond salarial spécial6,000,000$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour16,114,221$
Dépenses annuelles à ce jour12,300,892$
Revenus de la saison estimés57,295,008$
Dépenses de la saison estimées55,299,796$
Compte bancaire actuel27,063,249$
Compte bancaire projeté39,875,230$


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 HughesXXX100.006342909075918492628584708973690508102458,000,000$
2David PerronXX100.007742807476859078507273687593840507503714,000,000$
3Kevin HayesXX99.007243927385848979817374707585750507503317,142,857$
4Kevin StenlundXX100.007241737585858677867073767576660507502912,000,000$
5Sam SteelXXX100.007154807776858675777668757376660507402722,100,000$
6Luke KuninXXX100.00807367767985877569677173747969050730271775,000$
7Nico SturmX100.007757887484838573916868737176660507303022,000,000$
8Mackie SamoskevichX100.00724184797275717542717066755550050700221775,000$
9David GustafssonXXX100.00634383748378766876646369687363050690251835,000$
10Colton DachX100.00744473717774636650636165665150050650221825,000$
11John HaydenX98.90705460678174726550596165647464050650302775,000$
12Matej BlumelX100.00624270716467656945656762695350050650251875,000$
13Evan BouchardX99.0069417890818987934088828488766605082026410,500,000$
14Justin FaulkX100.007346777682919382407968817589840507903326,500,000$
15Owen PowerX100.006641887693918285408071817763530507702258,350,000$
16Nick PerbixX100.007241907583847977407469787359500507402722,750,000$
17Egor ZamulaX100.006540857482838072407265747167580507202511,700,000$
18Jake ChristiansenX100.00664483747576757040666372696253050690262975,000$
Rayé
1Brett LeasonXX100.007342877389847974497168727263530507202600$
Équipe Mineure
1Jake LucchiniX100.00554370686374706561636158656253050630301775,000$
2Liam OhgrenX100.00644074697273646440616162655550050630212886,667$
3Isak RosenX100.00594174725963616645646259665050050620221894,167$
4Ville KoivunenX96.04574362675862616243696059635050050620221805,833$
5Noah OstlundX100.00614168685761596142605964625050050610212886,667$
6Viktor NeuchevX100.00574072675760576143605556615050050590221870,000$
7Alex DoucetX100.00604267646363615742565356585150050580231870,000$
8Justin ErtelX100.00614167626260585740555459575050050580222867,500$
9Vincent IorioX100.00664270666863616340595568615050050630221814,167$
10Zayne ParekhX100.00554065677275596040606059555150050620193942,500$
11Samuel JohannessonX100.00554068645863626240625661615150050600241870,000$
12Seamus CaseyX100.00584067675859576040595561615050050600212950,000$
13Alec RegulaX100.00614257576357555540545261555150050580252775,000$
14Travis MitchellX100.00585358606765636040545555595250050580251775,000$
15Sammy WalkerXXX100.005443717054686663446457576354500506102600$
MOYENNE D’ÉQUIPE99.7665447571727472695067646768625705067
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 Vladar100.00838382888681787880837768610507502823,350,000$
2Joel Hofer96.00838182758583808382837562560507402523,400,000$
Rayé
1Ales Stezka100.00716667666868706668696356510506202810$
Équipe Mineure
1Jan Bednar100.00625757656159605861595450500505602300$
2Jared Moe100.00524848575046454444504452500504602600$
MOYENNE D’ÉQUIPE99.207067677070676766676963585405063
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
1Jack HughesDallas StarsC/LW/RW165131812010266615447.58%634421.5523511410002350046.43%2800001.0411000211
2Evan BouchardDallas StarsD1651116020142734151614.71%2236622.884371940000035020%000000.8711000021
3Justin FaulkDallas StarsD163101328031172381813.04%2236122.591561037000035110%000000.7200000111
4David PerronDallas StarsLW/RW16841218033143662222.22%030619.13123338000003036.00%2500000.7800000302
5Nick PerbixDallas StarsD16459-108029202861414.29%2634221.412351739000034020%000000.5300000220
6Owen PowerDallas StarsD16369-1260181728131910.71%2335422.182131240000037000%000000.5100000000
7Sam SteelDallas StarsC/LW/RW16279-3401828277197.41%225215.800443420000351045.98%26100000.7100000001
8Egor ZamulaDallas StarsD16167110018201061210.00%1925315.850002200004000%000000.5500000010
9Jake ChristiansenDallas StarsD1634711801514323100.00%1024515.330000000007200%000000.5700000000
10Kevin HayesDallas StarsC/RW1616711001334307163.33%332120.11044454000000050.58%43100000.4400000001
11Luke KuninDallas StarsC/LW/RW16527-410035182962317.24%329118.221013240001341044.83%2900100.4800000100
12Mackie SamoskevichDallas StarsRW16426-52011122171419.05%327217.05213637000001033.33%2100000.4400000001
13Nico SturmDallas StarsC16235-2201371671812.50%317611.0100000000170044.44%900000.5700000000
14Kevin StenlundDallas StarsC/RW16134-4209262112194.76%527517.24000000003400053.18%34600000.2900000010
15Matej BlumelDallas StarsRW16224-32076142614.29%01277.9900000000000133.33%300000.6300000000
16Colton DachDallas StarsC16213-32012373528.57%01308.1800001000000025.00%1200000.4600000000
17David GustafssonDallas StarsC/LW/RW16033-2206595110%117110.6900002000000044.44%900000.3500000000
18John HaydenDallas StarsC14000-24015127040%11158.2400000000000040.98%1220000000000000
19Liam OhgrenTexas Stars (DAL)LW2000-100010010%0147.0600000000000031.58%190000000000000
Statistiques d’équipe totales ou en moyenne2885188139-44102030730740912728412.47%149472416.411526419040400073089648.06%131500100.5922000988
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 Stars65000.8962.94327001615400000511000
2Joel HoferDallas Stars115600.8823.8663721413470101.0002114100
Statistiques d’équipe totales ou en moyenne1710600.8863.54965215750101021615100


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
Ales StezkaDallas StarsG281997-01-06CZENo203 Lbs6 ft5NoNoAssign ManuallyNoNo12025-11-09FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Brett LeasonDallas StarsLW/RW261999-04-30CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Colton DachDallas StarsC222003-01-04CANNo196 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm825,000$674,609$825,000$674,609$No---------------------------Lien NHL
Dan VladarDallas StarsG281997-08-20CZENo209 Lbs6 ft5NoNoAssign ManuallyNoYes22025-07-02FalseFalsePro & Farm3,350,000$2,739,323$3,350,000$2,739,323$No3,350,000$--------3,350,000$--------No--------Lien NHL
David GustafssonDallas StarsC/LW/RW252000-04-11SWENo196 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm835,000$682,786$835,000$682,786$No---------------------------Lien NHL
David PerronDallas StarsLW/RW371988-05-28CANNo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,000,000$3,270,833$4,000,000$3,270,833$No---------------------------Lien NHL
Egor ZamulaDallas StarsD252000-03-30RUSNo200 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm1,700,000$1,390,104$1,700,000$1,390,104$No---------------------------Lien NHL
Evan BouchardDallas StarsD261999-10-20CANNo192 Lbs6 ft3NoNoAssign ManuallyNoNo42025-07-02FalseFalsePro & Farm10,500,000$8,585,938$10,500,000$8,585,938$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$6,541,667$8,000,000$6,541,667$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$797,266$975,000$797,266$No975,000$--------975,000$--------No--------Lien NHL
Joel HoferDallas StarsG252000-07-30CANNo179 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm3,400,000$2,780,208$3,400,000$2,780,208$No3,400,000$--------3,400,000$--------No--------Lien NHL
John HaydenDallas StarsC301995-02-14USANo223 Lbs6 ft3NoNoFantasy DraftNoYes22025-06-29FalseFalsePro & Farm775,000$633,724$775,000$633,724$No775,000$--------775,000$--------No--------Lien NHL
Justin FaulkDallas StarsD331992-03-20USANo214 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm6,500,000$5,315,104$6,500,000$5,315,104$No6,500,000$--------6,500,000$--------No--------Lien NHL
Kevin HayesDallas StarsC/RW331992-05-08USANo216 Lbs6 ft5NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm7,142,857$5,840,774$7,142,857$5,840,774$No---------------------------Lien NHL
Kevin StenlundDallas StarsC/RW291996-09-20SWENo213 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm2,000,000$1,635,417$2,000,000$1,635,417$No---------------------------Lien NHL
Luke KuninDallas StarsC/LW/RW271997-12-04USANo197 Lbs6 ft0NoNoAssign ManuallyNoYes12025-08-24FalseFalsePro & Farm775,000$633,724$0$0$No---------------------------Lien NHL
Mackie SamoskevichDallas StarsRW222002-11-15USANo180 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm775,000$633,724$775,000$633,724$No---------------------------Lien NHL
Matej BlumelDallas StarsRW252000-05-31CZENo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm875,000$715,495$875,000$715,495$No---------------------------
Nick PerbixDallas StarsD271998-06-15USANo206 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm2,750,000$2,248,698$2,750,000$2,248,698$No2,750,000$--------2,750,000$--------No--------Lien NHL
Nico SturmDallas StarsC301995-05-03DEUNo209 Lbs6 ft3NoNoTrade2025-09-17NoYes22025-07-02FalseFalsePro & Farm2,000,000$1,635,417$2,000,000$1,635,417$No2,000,000$--------2,000,000$--------No--------Lien NHL
Owen PowerDallas StarsD222002-11-22CANNo226 Lbs6 ft6NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,350,000$6,827,865$8,350,000$6,827,865$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$1,717,188$2,100,000$1,717,188$No2,100,000$--------2,100,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.14202 Lbs6 ft21.823,073,994$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
67,627,857$48,700,000$26,850,000$26,850,000$16,350,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesKevin HayesDavid Perron35023
2Luke KuninKevin StenlundMackie Samoskevich30032
3Nico SturmSam SteelDavid Gustafsson20122
4Colton DachJohn HaydenMatej 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 HayesSam Steel50005
2David PerronKevin HayesMackie Samoskevich50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardOwen Power50005
2Justin FaulkNick Perbix50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundLuke Kunin50050
2Sam SteelJack Hughes50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJustin Faulk50050
2Evan BouchardNick Perbix50050
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 HughesSam Steel50014
2Kevin HayesDavid Perron50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardOwen Power50014
2Nick PerbixJustin Faulk50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John HaydenKevin 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, Kevin Hayes, Owen Power, David Perron
Gardien
#1 : Dan Vladar, #2 : Joel Hofer
Lignes d’attaque personnalisées en prolongation
Jack Hughes, Kevin Hayes, John Hayden, 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
1Anaheim Ducks11000000532110000005320000000000021.00051015001130289613037104124125.00%20100.00%023449347.46%27055448.74%12826248.85%2518227125
2Carolina Hurricanes11000000642110000006420000000000021.00061117002310326141204386195360.00%3166.67%023449347.46%27055448.74%12826248.85%2416236126
3Colorado Avalanche11000000202000000000001100000020221.0002350111003215890368816200.00%30100.00%023449347.46%27055448.74%12826248.85%2316247115
4Columbus Blue Jackets11000000633110000006330000000000021.00069150003303516910025112166116.67%10100.00%023449347.46%27055448.74%12826248.85%2518216137
5Edmonton Oilers1010000024-21010000024-20000000000000.0002460001101855803217624100.00%30100.00%023449347.46%27055448.74%12826248.85%2012276125
6Florida Panthers11000000321000000000001100000032121.00036900120021313503274213266.67%110.00%023449347.46%27055448.74%12826248.85%2316237126
7Los Angeles Kings11000000422110000004220000000000021.000471100130038121610024102315240.00%110.00%023449347.46%27055448.74%12826248.85%2417237115
8Minnesota Wild1010000014-31010000014-30000000000000.000123000010182610025111024200.00%40100.00%023449347.46%27055448.74%12826248.85%2113247136
9Nashville Predators21100000710-30000000000021100000710-320.5007121900313044179180561512296116.67%6266.67%023449347.46%27055448.74%12826248.85%463147142512
10Seattle Kraken11000000514110000005140000000000021.000581300122022271301984153133.33%2150.00%023449347.46%27055448.74%12826248.85%2215257116
11St. Louis Blues1010000025-3000000000001010000025-300.000235001100248880367102122100.00%30100.00%023449347.46%27055448.74%12826248.85%2013267125
12Tampa Bay Lightning10000010431000000000001000001043121.00046100011121775523212615300.00%30100.00%023449347.46%27055448.74%12826248.85%2316277146
13Vancouver Canucks1010000017-61010000017-60000000000000.00012300010023896035131020100.00%5420.00%023449347.46%27055448.74%12826248.85%2215266115
14Washington Capitals1010000007-71010000007-70000000000000.0000000000002791350346826400.00%4175.00%023449347.46%27055448.74%12826248.85%2114257125
15Winnipeg Jets11000000422000000000001100000042221.0004590013003011109035612183266.67%6183.33%023449347.46%27055448.74%12826248.85%2316237136
Total1696000105257-5954000003035-57420001022220200.62552881400113231524091301381412501149104307501530.00%471274.47%023449347.46%27055448.74%12826248.85%37125339111520199
_Since Last GM Reset1696000105257-5954000003035-57420001022220200.62552881400113231524091301381412501149104307501530.00%471274.47%023449347.46%27055448.74%12826248.85%37125339111520199
_Vs Conference1165000003338-5633000001821-3532000001517-2120.54533568901914100277898410403351057821029931.03%35974.29%023449347.46%27055448.74%12826248.85%2521712717913666
_Vs Division633000001621-51010000014-3532000001517-260.5001625410166401485341540188475210815533.33%22386.36%023449347.46%27055448.74%12826248.85%13791146447636

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1620W1528814040950114910430701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
169600105257
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95400003035
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74200102222
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
501530.00%471274.47%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
13013814121323152
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
23449347.46%27055448.74%12826248.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
37125339111520199


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
317Dallas Stars4Winnipeg Jets2WSommaire du match
534Dallas Stars2Colorado Avalanche0WSommaire du match
854Minnesota Wild4Dallas Stars1LSommaire du match
1068Vancouver Canucks7Dallas Stars1LSommaire du match
1283Dallas Stars2St. Louis Blues5LSommaire du match
15106Columbus Blue Jackets3Dallas Stars6WSommaire du match
17119Los Angeles Kings2Dallas Stars4WSommaire du match
19138Carolina Hurricanes4Dallas Stars6WSommaire du match
20145Dallas Stars4Nashville Predators3WSommaire du match
22159Washington Capitals7Dallas Stars0LSommaire du match
24169Dallas Stars4Tampa Bay Lightning3WXXSommaire du match
26185Dallas Stars3Florida Panthers2WSommaire du match
29207Edmonton Oilers4Dallas Stars2LSommaire du match
31224Anaheim Ducks3Dallas Stars5WSommaire du match
33233Dallas Stars3Nashville Predators7LSommaire du match
34248Seattle Kraken1Dallas Stars5WSommaire du match
36258Dallas Stars-Ottawa Senators-
38270Dallas Stars-Montreal Canadiens-
40293Philadelphia Flyers-Dallas Stars-
43310New York Islanders-Dallas Stars-
45328Dallas Stars-Vancouver Canucks-
47345Dallas Stars-Calgary Flames-
50360Dallas Stars-Edmonton Oilers-
51375Dallas Stars-Seattle Kraken-
53390Utah Mammoth-Dallas Stars-
55405Ottawa Senators-Dallas Stars-
57415Dallas Stars-New York Rangers-
58421Dallas Stars-New Jersey Devils-
60438San Jose Sharks-Dallas Stars-
62456Pittsburgh Penguins-Dallas Stars-
64473Dallas Stars-Winnipeg Jets-
66488Dallas Stars-Minnesota Wild-
68505Florida Panthers-Dallas Stars-
70518Los Angeles Kings-Dallas Stars-
73543Dallas Stars-San Jose Sharks-
74548Dallas Stars-Anaheim Ducks-
76568Toronto Maple Leafs-Dallas Stars-
78579Dallas Stars-Detroit Red Wings-
82596Chicago Blackhawks-Dallas Stars-
86628Buffalo Sabres-Dallas Stars-
87637Dallas Stars-Chicago Blackhawks-
90657Montreal Canadiens-Dallas Stars-
92671Dallas Stars-Carolina Hurricanes-
93677Dallas Stars-Washington Capitals-
96700Dallas Stars-San Jose Sharks-
98724Dallas Stars-Los Angeles Kings-
99734Dallas Stars-Anaheim Ducks-
101746Dallas Stars-Utah Mammoth-
104767Tampa Bay Lightning-Dallas Stars-
106783Boston Bruins-Dallas Stars-
108797Dallas Stars-Columbus Blue Jackets-
109804St. Louis Blues-Dallas Stars-
113836Dallas Stars-St. Louis Blues-
115856Dallas Stars-Vegas Golden Knights-
117870Dallas Stars-Utah Mammoth-
119882Winnipeg Jets-Dallas Stars-
121899St. Louis Blues-Dallas Stars-
142913Seattle Kraken-Dallas Stars-
145945Nashville Predators-Dallas Stars-
147956Dallas Stars-Vancouver Canucks-
148965Dallas Stars-Calgary Flames-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151984Colorado Avalanche-Dallas Stars-
1531004Chicago Blackhawks-Dallas Stars-
1551020Vegas Golden Knights-Dallas Stars-
1571034Edmonton Oilers-Dallas Stars-
1591053Detroit Red Wings-Dallas Stars-
1611066Utah Mammoth-Dallas Stars-
1631080Dallas Stars-Colorado Avalanche-
1661101Dallas Stars-Minnesota Wild-
1671115Vegas Golden Knights-Dallas Stars-
1691130New Jersey Devils-Dallas Stars-
1711141Dallas Stars-New York Islanders-
1731156Dallas Stars-Pittsburgh Penguins-
1741172Dallas Stars-Philadelphia Flyers-
1761178Dallas Stars-Boston Bruins-
1781198Winnipeg Jets-Dallas Stars-
1801209Colorado Avalanche-Dallas Stars-
1831239Calgary Flames-Dallas Stars-
1851254Minnesota Wild-Dallas Stars-
1871268New York Rangers-Dallas Stars-
1891285Dallas Stars-Toronto Maple Leafs-
1911301Dallas Stars-Buffalo Sabres-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance52,28843,63817,18134,61917,156
Attendance PCT96.83%96.97%95.45%96.16%95.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 18320 - 96.42% 1,790,469$16,114,221$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
12,300,892$ 67,627,857$ 66,852,857$ 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
66,852,857$ 12,159,632$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
57,295,008$ 157 352,228$ 55,299,796$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
56,261,136$ 27,063,249$ 39,875,230$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
72,852,857$ 22,647,143$ 95,500,000$ 2,252,857$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jack HughesAGE:24PO:0OV:81
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
Viktor NeuchevAGE:22PO:0OV:59
Alex DoucetAGE:23PO:0OV:58
Justin ErtelAGE:22PO:0OV:58
Jack HughesAGE:24PO:0OV:81
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
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
Ville KoivunenAGE:22PO:0OV:62
Sammy WalkerAGE:26PO:0OV:61

Défense #1Défense #2Gardien
Evan BouchardAGE:26PO: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:60
Alec RegulaAGE:25PO:0OV:58
Travis MitchellAGE:25PO:0OV:58
Dan VladarAGE:28PO:0OV:75
Joel HoferAGE:25PO:0OV:74
Ales StezkaAGE:28PO:0OV:62
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
Carter YakemchukDallas Stars202513Fantasy Draft2025-09-25Lien
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
Riley HeidtDallas Stars202540Fantasy Draft2025-09-25Lien
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

[2025-11-09 09:01:40] Ales Stezka was added to Dallas Stars.
[2025-11-04 08:04:29] New Record for Team's Most Shots Blocked (17) in 1 Game for Dallas Stars!
[2025-10-25 10:00:38] New Record for Team's Most Points (17) in 1 Game for Dallas Stars!
[2025-10-25 10:00:38] New Record for Team's Most Assists (11) in 1 Game for Dallas Stars!
[2025-10-23 08:01:18] New Record for Team's Most Hits (31) in 1 Game for Dallas Stars!
[2025-10-23 08:01:18] New Record for Team's Most Shots (38) in 1 Game for Dallas Stars!
[2025-10-21 08:19:05] New Record for Team's Most Shots (35) in 1 Game for Dallas Stars!
[2025-10-21 08:19:05] New Record for Team's Most Points (15) in 1 Game for Dallas Stars!
[2025-10-21 08:19:05] New Record for Team's Most Assists (9) in 1 Game for Dallas Stars!
[2025-10-21 08:19:05] New Record for Team's Most Goals (6) in 1 Game for Dallas Stars!
[2025-10-16 08:09:09] New Record for Team's Most Shots Blocked (13) in 1 Game for Dallas Stars!
[2025-10-14 08:27:24] New Record for Team's Most Hits (24) in 1 Game for Dallas Stars!
[2025-10-14 08:27:24] New Record for Team's Most Shots Blocked (11) in 1 Game for Dallas Stars!
[2025-10-10 08:04:49] New Record for Team's Most Shots Blocked (8) in 1 Game for Dallas Stars!
[2025-10-10 08:04:49] New Record for Team's Most Shots (32) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Hits (18) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (12) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (6) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Shots (30) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Points (9) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Assists (5) in 1 Game for Dallas Stars!
[2025-10-09 08:02:58] New Record for Team's Most Goals (4) in 1 Game for Dallas Stars!
[2025-09-25 22:10:07] TRADE : From Dallas Stars to Anaheim Ducks : Cole Perfetti (76).
[2025-09-25 22:10:07] TRADE : From Anaheim Ducks to Dallas Stars : Carter Yakemchuk (P), Riley Heidt (P).
[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