Dallas Stars

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 18 | GA: 20 | PP%: 23.81% | PK%: 60.87%
DG: Pierre-Olivier Lefrançois | Morale : 99 | Moyenne d'Équipe : 80
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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 SP
1Alex OvechkinXX100.00945584979698989850899988559595167880
2Patrice BergeronX100.00805587929594849398909299559595169860
3Tyler SeguinXX100.00815582969191979695899593558884170860
4Patrik LaineXX100.00885588969192959558819884558180157840
5Mathew Barzal (R)X100.00675583978190929677988286557977170830
6Clayton Keller (R)XXX100.00605582977690929371908379557672170800
7Jason ZuckerXX100.00695587907986859158839185557466170800
8Justin AbdelkaderXX100.00985583879595878374787388558277166790
9Kyle BrodziakX100.00845587778787677889797092558682166760
10Derek RyanX100.00675588798282828295797588557273170750
11Jesper Bratt (R)XX100.00715582917082848364787474557070170740
12Matt CalvertX100.00765573787578777860737186558683162730
13Duncan KeithX100.00755592979294999625876295559999166860
14Jacob TroubaX100.00855582939190989125846494558078170840
15Ryan EllisX100.00745598928893979425877394558481157840
16Christopher TanevX100.00725596859386877425686497558382168800
17Josh MorrisseyX100.00885583906387538925756792558082156780
18Matt IrwinX100.00855592768973797425646381558479133740
Rayé
1Logan ShawXX100.00805563738582857171686579557070119700
MOYENNE D'ÉQUIPE100.0079558589858886875881778855828016280
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 SP
1Darcy Kuemper100.0082898883858584758975558075157810
2Carey Price100.0082748080818281828287559393164810
Rayé
MOYENNE D'ÉQUIPE100.008282848283848379868155878416181
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella74878188907252USA5952,850,000$


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'ÉquipePOS GP 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
1Patrice BergeronDallas StarsC53584206252081615.00%211923.961125150000210049.43%17600001.3400000101
2Mathew BarzalDallas StarsC515650029114109.09%210220.43022114000000046.31%14900001.1700000010
3Tyler SeguinDallas StarsC/RW533640011152881710.71%111122.280228140000121066.67%300011.0800000100
4Jacob TroubaDallas StarsD5055240765290.00%712024.07011113000014000.00%000000.8300000000
5Clayton KellerDallas StarsC/LW/RW51344000720475.00%09418.81011515000010075.00%400000.8500000000
6Alex OvechkinDallas StarsLW/RW3314260641011130.00%15719.2210118000000014.29%700001.3900000100
7Duncan KeithDallas StarsD51342004752220.00%712725.44112216000018000.00%000000.6300000000
8Ryan EllisDallas StarsD52242008672828.57%1012324.62112216000016000.00%000000.6500000001
9Patrik LaineDallas StarsLW/RW5112113586247134.17%19218.59101715000000050.00%400000.4300010000
10Jason ZuckerDallas StarsLW/RW5112120221110139.09%26513.1100016000000033.33%300000.6100000000
11Josh MorrisseyDallas StarsD5112212014582712.50%710220.5600041300001000.00%000000.3900000000
12Matt IrwinDallas StarsD5112-2808020150.00%15611.280000000000000.00%000000.7100000000
13Kyle BrodziakDallas StarsC5011-100265100.00%1357.19000000000120058.97%3900000.5600000000
14Christopher TanevDallas StarsD5011-200331030.00%67515.1400000000017000.00%000000.2600000000
15Matt CalvertDallas StarsLW5011-100241000.00%0275.450000000003000.00%300000.7300000000
16Jesper BrattDallas StarsLW/RW5000-240124220.00%0336.640000000000000.00%100000.0000000000
17Mike CammalleriStars (Dal)C/LW/RW2000-155012020.00%094.890000000000000.00%200000.0000100000
18Derek RyanDallas StarsC5000-500056140.00%1479.4700000000000050.88%5700000.0000000000
19Justin AbdelkaderDallas StarsLW/RW5000-5601185270.00%16513.11000000000180025.00%400000.0000000000
Stats d'équipe Total ou en Moyenne90183452106210951211755613210.29%50146816.3159143714900001381048.23%45200010.7100110312
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
1Darcy KuemperDallas Stars51220.8783.8523400151230100.000041000
2Carey PriceDallas Stars20000.8394.4168005310000.000014000
Stats d'équipe Total ou en Moyenne71220.8703.9730200201540100.000055000


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex OvechkinDallas StarsLW/RW311985-09-16No239 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$3,017,857$No
Carey PriceDallas StarsG291987-08-16No216 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$928,571$No
Christopher TanevDallas StarsD271989-12-20No185 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,160,714$No
Clayton KellerDallas StarsC/LW/RW181998-06-25Yes168 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$417,857$No
Darcy KuemperDallas StarsG261990-05-05No205 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm500,000$500,000$232,143$No
Derek RyanDallas StarsC301986-12-29No170 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm300,000$300,000$139,286$No
Duncan KeithDallas StarsD331983-07-16No192 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$3,017,857$No
Jacob TroubaDallas StarsD221994-02-26No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm2,500,000$2,500,000$1,160,714$No
Jason ZuckerDallas StarsLW/RW241992-01-16No188 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,160,714$No
Jesper BrattDallas StarsLW/RW181998-07-30Yes174 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$139,286$No
Josh MorrisseyDallas StarsD211995-03-28No195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$417,857$No
Justin AbdelkaderDallas StarsLW/RW291987-02-25No218 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,700,000$2,700,000$1,253,571$No
Kyle BrodziakDallas StarsC321984-05-25No212 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$232,143$No
Logan ShawDallas StarsC/RW241992-10-05No202 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$139,286$No
Mathew BarzalDallas StarsC191997-05-26Yes187 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$417,857$No
Matt CalvertDallas StarsLW271989-12-23No187 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$464,286$No
Matt IrwinDallas StarsD291987-11-28No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$464,286$No
Patrice BergeronDallas StarsC311985-07-23No194 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$3,017,857$No
Patrik LaineDallas StarsLW/RW181998-04-19No206 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$417,857$No
Ryan EllisDallas StarsD261991-01-02No175 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$1,625,000$No
Tyler SeguinDallas StarsC/RW241992-01-30No200 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm6,300,000$6,300,000$2,925,000$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.62196 Lbs6 ft12.522,333,333$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,000,000$42,500,000$23,200,000$4,100,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinPatrice BergeronClayton Keller35113
2Patrik LaineMathew BarzalTyler Seguin35113
3Jason ZuckerDerek RyanJustin Abdelkader20122
4Matt CalvertKyle BrodziakJesper Bratt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan KeithRyan Ellis40122
2Jacob TroubaJosh Morrissey40122
3Christopher TanevMatt Irwin20122
4Duncan KeithChristopher Tanev0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinPatrice BergeronClayton Keller50014
2Patrik LaineMathew BarzalTyler Seguin50014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan KeithRyan Ellis55023
2Jacob TroubaJosh Morrissey45023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Patrice BergeronJustin Abdelkader55140
2Kyle BrodziakTyler Seguin45140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan KeithChristopher Tanev55140
2Jacob TroubaRyan Ellis45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Patrice Bergeron60050Duncan KeithChristopher Tanev60050
2Kyle Brodziak40050Jacob TroubaRyan Ellis40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Patrice BergeronAlex Ovechkin50113
2Mathew BarzalTyler Seguin50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan KeithRyan Ellis55122
2Jacob TroubaJosh Morrissey45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex OvechkinPatrice BergeronTyler SeguinDuncan KeithRyan Ellis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin AbdelkaderPatrice BergeronTyler SeguinDuncan KeithChristopher Tanev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrice Bergeron, Mathew Barzal, Patrik LaineJason Zucker, Derek RyanMatt Calvert
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Duncan Keith, Ryan Ellis, Jacob TroubaChristopher TanevJosh Morrissey, Matt Irwin
Tirs de Pénalité
Mathew Barzal, Clayton Keller, Tyler Seguin, Patrice Bergeron, Patrik Laine
Gardien
#1 : Carey Price, #2 : Darcy Kuemper


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
LigueDomicileVisiteur
# 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
1Colorado Avalanche514000001820-231200000141402020000046-220.200183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030
Total514000001820-231200000141402020000046-220.200183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030
_Since Last GM Reset514000001820-231200000141402020000046-220.200183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030
_Vs Conference514000001820-231200000141402020000046-220.200183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030
_Vs Division514000001820-231200000141402020000046-220.200183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L118345217515450629500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001820
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001414
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000046
Derniers 10 Matchs
WLOTWOTL SOWSOL
120200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
21523.81%23960.87%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
47606537470
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
8918348.63%9718851.60%328139.51%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12387118376030


Derniers Match 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 - 2019-04-076Colorado Avalanche4Dallas Stars3LSommaire du Match
4 - 2019-04-0914Colorado Avalanche4Dallas Stars6WSommaire du Match
6 - 2019-04-1122Dallas Stars2Colorado Avalanche3LXSommaire du Match
8 - 2019-04-1330Dallas Stars2Colorado Avalanche3LXSommaire du Match
10 - 2019-04-1538Colorado Avalanche6Dallas Stars5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets80453010180
Assistance18,00015,0006,00012,0003,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 18000 - 100.00% 886,500$2,659,500$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 49,000,000$ 30,899,498$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 105,367,877$ 105,367,877$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alex OvechkinAGE:31PO:1OV:88
Patrik LaineAGE:18PO:1OV:84
*Clayton KellerAGE:18PO:1OV:80
Jason ZuckerAGE:24PO:1OV:80
Justin AbdelkaderAGE:29PO:1OV:79
*Jesper BrattAGE:18PO:1OV:74
Matt CalvertAGE:27PO:1OV:73
Mike CammalleriAGE:34PO:1OV:71
*Hunter FejesAGE:22PO:1OV:56
Roope HintzAGE:20PO:1OV:53
*Levko KoperAGE:26PO:1OV:52
Patrice BergeronAGE:31PO:1OV:86
Tyler SeguinAGE:24PO:1OV:86
*Mathew BarzalAGE:19PO:1OV:83
*Clayton KellerAGE:18PO:1OV:80
Kyle BrodziakAGE:32PO:1OV:76
Derek RyanAGE:30PO:1OV:75
Mike CammalleriAGE:34PO:1OV:71
Logan ShawAGE:24PO:1OV:70
Chris BrownAGE:25PO:1OV:55
T.J. HensickAGE:31PO:1OV:55
Drew ShoreAGE:25PO:1OV:54
*Brandon GignacAGE:19PO:1OV:54
Vernon FiddlerAGE:36PO:1OV:54
Stephen GiontaAGE:33PO:1OV:54
Nikita JevpalovsAGE:22PO:1OV:52
*Nicholas MerkleyAGE:19PO:1OV:52
*Zack MacEwenAGE:20PO:1OV:52
Alex OvechkinAGE:31PO:1OV:88
Tyler SeguinAGE:24PO:1OV:86
Patrik LaineAGE:18PO:1OV:84
*Clayton KellerAGE:18PO:1OV:80
Jason ZuckerAGE:24PO:1OV:80
Justin AbdelkaderAGE:29PO:1OV:79
*Jesper BrattAGE:18PO:1OV:74
Mike CammalleriAGE:34PO:1OV:71
Logan ShawAGE:24PO:1OV:70
Daniel ZaarAGE:22PO:1OV:60
Nick LappinAGE:24PO:1OV:59
Matt FrattinAGE:29PO:1OV:53
Max GortzAGE:23PO:1OV:52

Défense #1Défense #2Gardien
Duncan KeithAGE:33PO:1OV:86
Jacob TroubaAGE:22PO:1OV:84
Ryan EllisAGE:26PO:1OV:84
Christopher TanevAGE:27PO:1OV:80
Josh MorrisseyAGE:21PO:1OV:78
Matt IrwinAGE:29PO:1OV:74
*Samuel GirardAGE:18PO:1OV:72
Nick SchultzAGE:34PO:1OV:66
Joe HickettsAGE:20PO:1OV:63
Colby RobakAGE:26PO:1OV:60
Michal RozsivalAGE:38PO:1OV:59
Nikita TryamkinAGE:26PO:1OV:55
*Timothy LiljegrenAGE:17PO:1OV:55
Chris BreenAGE:27PO:1OV:54
Ryan JohnstonAGE:24PO:1OV:54
Mathieu BrodeurAGE:26PO:1OV:54
*Philippe MyersAGE:19PO:1OV:54
Darcy KuemperAGE:26PO:1OV:81
Carey PriceAGE:29PO:1OV:81
Garret SparksAGE:23PO:1OV:75
Spencer MartinAGE:21PO:1OV:66
Jack FlinnAGE:21PO:1OV:60

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam FoxDallas Stars1232
Artur KayumovDallas Stars1298
Cam DineenDallas Stars1267
Chad KrysDallas Stars1275
Dante FabbroDallas Stars1222
David BernhardtDallas Stars12123
David FarranceDallas Stars13120
David QuennevilleDallas Stars1280
Felix SandstromDallas Stars11125
Jake BeanDallas Stars1214
Jesper BoqvistDallas Stars1350
Jonathan DahlenDallas Stars1226
Judd PetersonDallas Stars8166
Keith PetruzzelliDallas Stars13134
Markus NiemelainenDallas Stars12109
Martin OuelletteDallas Stars
Nick SuzukiDallas Stars1323
Niclas AlmariDallas Stars12176
Nikita PopugaevDallas Stars1399
Nikolai ChebykinDallas Stars167
Noah GregorDallas Stars1286
Scott ReedyDallas Stars13130
Stuart SkinnerDallas Stars1385

Choix au Repêchage

Année R1R2R3R4R5R6
14Dal Wpg Dal Buf Los Buf
15Dal Tor Dal Clb Tor NYI PHX
16Dal Dal Dal Dal MTL Dal Dal
17Dal Dal NYI Dal Dal Dal Nas Dal
18Dal Dal Dal Dal VGK Dal Dal



[2019-04-23 12:11:55] - Stars was eliminated at round 1 of year 13.
[2019-04-19 07:59:56] - Dallas Stars was eliminated at round 1 of year 13.
[2019-03-05 10:16:33] - New Record for Team's Most Hits (38) in 1 Game for Dallas Stars!
[2019-02-18 15:19:38] - TRADE : From Montreal Canadiens to Dallas Stars : Y:14-RND:4-Los.
[2019-02-18 15:19:38] - TRADE : From Dallas Stars to Montreal Canadiens : Carl Gunnarsson (73), Julian Melchiori (57).
[2019-02-05 09:07:23] - Dallas Stars hired John Tortorella for 2 850 000 $ for 5 year(s).
[2019-02-05 09:07:15] - Dallas Stars fired John Stevens.
[2019-01-21 11:38:16] - Stars hired Ken Hitchcock for 500 000 $ for 5 year(s).
[2019-01-21 11:38:15] - Stars fired Willie Desjardins.
[2019-01-19 11:37:20] - TRADE : From Dallas Stars to Toronto Maple Leafs : Pavel Zacha (74).
[2019-01-19 11:37:20] - TRADE : From Toronto Maple Leafs to Dallas Stars : Y:15-RND:2-Tor, Y:15-RND:4-Tor.
[2019-01-18 19:25:01] - TRADE : From Pittsburgh Penguins to Dallas Stars : Mike Cammalleri (71).
[2019-01-18 19:25:01] - TRADE : From Dallas Stars to Pittsburgh Penguins : Y:15-RND:6-Dal, Y:15-RND:6-Nas.
[2019-01-01 19:47:11] - TRADE : From Nashville Predators to Dallas Stars : Carl Gunnarsson (73).
[2019-01-01 19:47:11] - TRADE : From Dallas Stars to Nashville Predators : Jack Walker (P), Keegan Iverson (P).
[2019-01-01 19:46:40] - TRADE : From Phoenix Coyotes to Dallas Stars : Nikita Jevpalovs (53), T.J. Hensick (55).
[2019-01-01 19:46:40] - TRADE : From Dallas Stars to Phoenix Coyotes : David Schlemko (72).
[2018-12-03 18:09:56] - TRADE : From Ottawa Senators to Dallas Stars : Matt Irwin (74).
[2018-12-03 18:09:56] - TRADE : From Dallas Stars to Ottawa Senators : Dakota Mermis (54).
[2018-11-09 11:59:58] - TRADE : From Dallas Stars to Vegas Golden Knights : Brett Pollock (55), Joe Wegwerth (P).
[2018-11-09 11:59:58] - TRADE : From Vegas Golden Knights to Dallas Stars : Matt Calvert (73).
[2018-11-06 15:10:13] - Stars hired Willie Desjardins for 1 000 000 $ for 5 year(s).
[2018-11-06 15:09:58] - Stars fired David Hakstol.
[2018-10-28 14:06:13] - Stars hired David Hakstol for 1 000 000 $ for 5 year(s).
[2018-10-28 14:05:53] - Stars fired Clark Donatelli.
[2018-09-29 10:55:40] - Team Name Change : Texas Stars changed name to Stars
[2018-09-22 15:59:51] - TRADE : From Toronto Maple Leafs to Dallas Stars : Felix Sandstrom (P).
[2018-09-22 15:59:51] - TRADE : From Dallas Stars to Toronto Maple Leafs : Dryden Hunt, Y:15-RND:6-PHX.
[2018-09-15 11:47:36] - TRADE : From Nashville Predators to Dallas Stars : Darcy Kuemper, Nicholas Merkley.
[2018-09-15 11:47:36] - TRADE : From Dallas Stars to Nashville Predators : Anton Forsberg, Sonny Milano, Y:14-RND:4-Bos.
[2018-09-12 14:31:01] - TRADE : From Dallas Stars to New York Islanders : Michael Dal Colle.
[2018-09-12 14:31:01] - TRADE : From New York Islanders to Dallas Stars : Y:17-RND:2-NYI.
[2018-09-12 14:30:40] - TRADE : From Buffalo Sabres to Dallas Stars : Y:14-RND:5-Buf.
[2018-09-11 09:33:00] - Jack Flinn was added to Dallas Stars.
[2018-09-09 07:42:10] - Texas Stars hired Clark Donatelli for 100 000 $ for 5 year(s).
[2018-09-08 14:26:45] - TRADE : From Nashville Predators to Dallas Stars : Y:15-RND:3-Clb, Y:15-RND:5-PHX.
[2018-09-08 14:26:45] - TRADE : From Dallas Stars to Nashville Predators : Ben Chiarot.
[2018-09-05 16:06:19] - TRADE : From New York Islanders to Dallas Stars : Logan Shaw.
[2018-09-05 16:06:19] - TRADE : From Dallas Stars to New York Islanders : Y:14-RND:6-Tor.



[2019-04-18 08:21:29] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-04-14 10:37:40] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-04-14 10:37:40] Alex Ovechkin of Dallas Stars was sent to pro.
[2019-04-14 10:37:40] Mike Cammalleri of Dallas Stars was sent down to farm.
[2019-04-13 09:13:17] Tyler Seguin from Dallas Stars has scored a Hat Trick!
[2019-04-11 05:05:28] Alex Ovechkin from Stars completes suspension
[2019-04-11 05:05:09] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-04-11 05:05:09] Mike Cammalleri of Dallas Stars was sent to pro.
[2019-04-10 05:18:00] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-04-10 05:17:58] Carey Price of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Spencer Martin of Dallas Stars was sent to farm.
[2019-04-10 05:17:58] Darcy Kuemper of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Garret Sparks of Dallas Stars was sent to farm.
[2019-04-10 05:17:58] Stephen Gionta of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] T.J. Hensick of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Justin Abdelkader of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Ryan Ellis of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Matt Calvert of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Philippe Myers of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Timothy Liljegren of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Joe Hicketts of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Matt Irwin of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Christopher Tanev of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Josh Morrissey of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Zack MacEwen of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Nicholas Merkley of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Hunter Fejes of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Tyler Seguin of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Roope Hintz of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Ryan Johnston of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Jason Zucker of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Nikita Tryamkin of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Nikita Jevpalovs of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Jacob Trouba of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Brandon Gignac of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Patrice Bergeron of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Nick Schultz of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Kyle Brodziak of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Nick Lappin of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Derek Ryan of Dallas Stars was sent to pro.
[2019-04-10 05:17:58] Daniel Zaar of Dallas Stars was sent down to farm.
[2019-04-10 05:17:58] Duncan Keith of Dallas Stars was sent to pro.
[2019-04-10 05:17:55] Mike Cammalleri of Dallas Stars was sent down to farm.
[2019-04-10 05:17:55] Jesper Bratt of Dallas Stars was sent to pro.
[2019-04-10 05:17:55] Patrik Laine of Dallas Stars was sent to pro.
[2019-04-10 05:17:55] Clayton Keller of Dallas Stars was sent to pro.
[2019-04-10 05:17:55] Mathew Barzal of Dallas Stars was sent to pro.
[2019-04-07 10:19:11] Alex Ovechkin from Dallas Stars suspended for 1 game(s)
[2019-04-07 10:18:58] Dallas Stars roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-04-06 12:59:56] Dallas Stars are expected to be under the minimum salary cap by 6 407 112 $!



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
13514000001820-231200000141402020000046-22183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030
Total Séries514000001820-231200000141402020000046-22183452007470175476065315450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030