Dallas Stars

GP: 31 | W: 17 | L: 9 | OTL: 5 | P: 39
GF: 84 | GA: 66 | PP%: 13.19% | PK%: 86.00%
DG: Pierre-Olivier Lefrançois | Morale : 51 | Moyenne d'Équipe : 73
Prochain matchs #478 vs New Jersey Devils
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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 OvechkinX100.008640828390879481557992568884944959770
2Patrice BergeronX100.006340818376847881898482907984773946770
3Mathew BarzalX100.005441809172839586748572588063658459730
4Patrik LaineXX100.006840798291839581567284578361649159730
5Jason ZuckerXX100.007338838069829476527377687673725859720
6Clayton KellerXXX100.005238868264839579587871568461668759700
7Derek RyanX100.005838856767759465807266716882742659680
8Riley NashXX100.007342886575699164766963786478716662680
9Kyle BrodziakXX100.007645826381708362796461836285773459680
10Matt CalvertXX100.007769766570779564586763806278704659680
11Roope HintzX100.007438876886777267736665686764657276660
12Jesper BrattXX100.006236897065786468527667636861624959650
13Jacob TroubaX100.008043757284899571308264885669708359760
14Ryan EllisX100.006437897667919574308271935875706559760
15Duncan KeithX100.005849807776899574307859765486773459730
16Josh MorrisseyX100.008037886974897568307766895867668359730
17Christopher TanevX100.005838876380866862307358915278703559710
18Samuel GirardX100.006335937563859573307662655861637359680
Rayé
1Tyler SeguinXX70.256937838677879589848183768873757746780
MOYENNE D'ÉQUIPE98.42684184757582887356757074697371615972
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
1Carey Price100.00929593869190929190929180865459880
2Darcy Kuemper100.00909593928988908988908977834048860
Rayé
MOYENNE D'ÉQUIPE100.0091959389908991908991907985475487
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella81888688908455USA6042,850,000$


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
1Ryan EllisDallas StarsD3142226136022565416397.41%3273523.7226832137011083200.00%000000.7100000032
2Mathew BarzalDallas StarsC3181422880198780207110.00%160719.5813411124000032048.95%71700000.7211000123
3Patrice BergeronDallas StarsC2461420380178711122655.41%852621.95178351040110660256.77%65700000.7601000022
4Tyler SeguinDallas StarsC/RW228122096033559135608.79%245220.5914523950000211054.29%21000000.8801000301
5Jason ZuckerDallas StarsLW/RW319817780333255103816.36%338112.30000627000001032.14%2800000.8901000000
6Alex OvechkinDallas StarsLW311061653801223059214616.95%160919.6532516132000053043.90%4100000.5324000231
7Josh MorrisseyDallas StarsD3141216-226081454212299.52%3170722.8122424119000069100.00%000000.4500000001
8Jacob TroubaDallas StarsD315101511320674548293710.42%3572523.3935839137000067010.00%000000.4100000020
9Clayton KellerDallas StarsC/LW/RW3159142203325117319.80%160719.6023514132000020046.15%3900000.4613000100
10Patrik LaineDallas StarsLW/RW3176137160602860144011.67%259519.2221313126000002042.86%3500000.4402000103
11Derek RyanDallas StarsC31761312010303272121.87%332610.5300014000001044.41%33100000.8001000130
12Christopher TanevDallas StarsD31291181604344124516.67%3648415.6400013000183100.00%000000.4500000201
13Duncan KeithDallas StarsD31279-3401830408225.00%2668522.1122430119000036100.00%000000.2600000101
14Samuel GirardDallas StarsD31077618027184390.00%1540112.970000300002000.00%000000.3500000000
15Riley NashDallas StarsC/RW31156115522242710233.70%339112.64000000000761038.24%3400000.3100100001
16Matt CalvertDallas StarsLW/RW313141402824313159.68%52748.86000001013771045.45%1100000.2900000201
17Jesper BrattDallas StarsLW/RW31213020415214129.52%11735.5900000000000050.00%600000.3511000000
18Kyle BrodziakDallas StarsC/RW310331402427185170.00%72869.260004320000820051.60%34300000.2100000010
19Roope HintzDallas StarsLW910122015441425.00%114215.8700000000000045.45%1100000.1400000000
Stats d'équipe Total ou en Moyenne5518415223680217564871384024158410.00%213911616.551935542491300123467917350.67%246300000.52515100141617
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 Stars2111540.9062.13123922444660000.467152110120
2Carey PriceDallas Stars126410.9341.7063603182740010.00001021302
Stats d'équipe Total ou en Moyenne3317950.9161.98187525627400010.467153131422


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 StarsLW331985-09-17No235 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$4,101,604$NoLien
Carey PriceDallas StarsG311987-08-16No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,000,000$2,000,000$1,262,032$NoLien
Christopher TanevDallas StarsD291989-12-20No197 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Clayton KellerDallas StarsC/LW/RW201998-07-29No170 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Darcy KuemperDallas StarsG291990-05-05No215 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm500,000$500,000$315,508$NoLien
Derek RyanDallas StarsC321986-12-29No185 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm300,000$300,000$189,305$NoLien
Duncan KeithDallas StarsD351983-07-16No192 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$4,101,604$NoLien
Jacob TroubaDallas StarsD251994-02-26No202 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$3,155,080$NoLien
Jason ZuckerDallas StarsLW/RW271992-01-16No183 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Jesper BrattDallas StarsLW/RW201998-07-30No175 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$189,305$NoLien
Josh MorrisseyDallas StarsD241995-03-28No195 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$900,000$567,914$NoLien
Kyle BrodziakDallas StarsC/RW351984-05-25No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$500,000$315,508$NoLien
Mathew BarzalDallas StarsC221997-05-26No187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Matt CalvertDallas StarsLW/RW291989-12-24No186 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$631,016$NoLien
Patrice BergeronDallas StarsC331985-07-24No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$4,101,604$NoLien
Patrik LaineDallas StarsLW/RW211998-04-19No206 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Riley NashDallas StarsC/RW301989-05-09No190 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$631,016$NoLien
Roope HintzDallas StarsLW221996-11-17No215 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$315,508$NoLien
Ryan EllisDallas StarsD281991-01-03No180 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Samuel GirardDallas StarsD211998-05-12No162 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Tyler Seguin (Sur la Masse Salariale)Dallas StarsC/RW271992-01-31No200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm6,300,000$0$0$YesLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.29195 Lbs6 ft12.142,376,190$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,900,000$31,600,000$11,500,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinPatrice BergeronClayton Keller35113
2Patrik LaineMathew BarzalRoope Hintz35113
3Jason ZuckerDerek RyanRiley Nash20122
4Matt CalvertKyle BrodziakJesper Bratt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob TroubaRyan Ellis40122
2Duncan KeithJosh Morrissey40122
3Christopher TanevSamuel Girard20122
4Jacob TroubaRyan Ellis0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinPatrice BergeronClayton Keller50014
2Patrik LaineMathew BarzalKyle Brodziak50014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob TroubaRyan Ellis55023
2Duncan KeithJosh Morrissey45023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Patrice BergeronMatt Calvert50140
2Kyle BrodziakRiley Nash50140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christopher TanevRyan Ellis55140
2Josh MorrisseyJacob Trouba45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Patrice Bergeron60122Christopher TanevRyan Ellis60122
2Kyle Brodziak40122Josh MorrisseyJacob Trouba40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mathew BarzalJason Zucker50023
2Patrice BergeronAlex Ovechkin50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob TroubaRyan Ellis55122
2Duncan KeithJosh Morrissey45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex OvechkinPatrice BergeronRoope HintzJacob TroubaRyan Ellis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertPatrice BergeronKyle BrodziakRyan EllisChristopher Tanev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mathew Barzal, Patrice Bergeron, Alex OvechkinJason Zucker, Derek RyanAlex Ovechkin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob Trouba, Ryan Ellis, Josh MorrisseySamuel GirardDuncan Keith, Christopher Tanev
Tirs de Pénalité
Patrice Bergeron, Alex Ovechkin, Clayton Keller, Patrik Laine, Mathew Barzal
Gardien
#1 : Darcy Kuemper, #2 : Carey Price


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
1Anaheim Ducks11000000321110000003210000000000021.0003580020102312650331410267114.29%5180.00%0519102950.44%51295553.61%21846147.29%2517217126
2Boston Bruins11000000321110000003210000000000021.0003580012003291112025116163133.33%30100.00%0519102950.44%51295553.61%21846147.29%2517226126
3Buffalo Sabres11000000202000000000001100000020221.000235012000291469025716255240.00%80100.00%0519102950.44%51295553.61%21846147.29%2517238115
4Calgary Flames2020000036-31010000012-11010000024-200.00036900012055112519037136481100.00%3166.67%0519102950.44%51295553.61%21846147.29%554038142513
5Chicago Blackhawks22000000523110000002111100000031241.000581300410042201111046162049400.00%10280.00%1519102950.44%51295553.61%21846147.29%473148142412
6Colorado Avalanche211000006601010000035-21100000031220.50061117001320633218130431520271715.88%10460.00%0519102950.44%51295553.61%21846147.29%523641162613
7Columbus Blue Jackets11000000211000000000001100000021121.000235001010251321001446224125.00%110.00%0519102950.44%51295553.61%21846147.29%2719206116
8Detroit Red Wings11000000303000000000001100000030321.00036901102032411170166421600.00%20100.00%0519102950.44%51295553.61%21846147.29%2719207126
9Edmonton Oilers1000000112-1000000000001000000112-110.5001230010012986135242426400.00%20100.00%0519102950.44%51295553.61%21846147.29%2719237136
10Minnesota Wild2020000039-61010000015-41010000024-200.000369002100428191506671734500.00%6183.33%0519102950.44%51295553.61%21846147.29%493545142511
11Montreal Canadiens1010000023-11010000023-10000000000000.00024600200035181250325822400.00%30100.00%0519102950.44%51295553.61%21846147.29%2820196116
12New York Islanders11000000312110000003120000000000021.000369001020361291502410226400.00%10100.00%0519102950.44%51295553.61%21846147.29%2619206126
13Ottawa Senators11000000606110000006060000000000021.000611170131202378801661022600.00%50100.00%0519102950.44%51295553.61%21846147.29%2516218137
14Philadelphia Flyers11000000505000000000001100000050521.0005101501212037111313029810234250.00%50100.00%0519102950.44%51295553.61%21846147.29%2418226126
15Pittsburgh Penguins22000000826110000005141100000031241.00081422003320421117140542112427342.86%60100.00%0519102950.44%51295553.61%21846147.29%483445142512
16St. Louis Blues210001005411000010034-11100000020230.7505914011040491417162601616351000.00%70100.00%0519102950.44%51295553.61%21846147.29%483247152512
Total311690120384661816750120146406159400002382612390.62984152236153420296841270282279257412132196501441913.19%1001486.00%1519102950.44%51295553.61%21846147.29%798562686230393201
18Vancouver Canucks2010000179-21000000134-11010000045-110.25071320001242511721125441318509222.22%9188.89%0519102950.44%51295553.61%21846147.29%533846152512
19Vegas Golden Knights10001000321100010003210000000000021.000369000111441582011424265240.00%2150.00%0519102950.44%51295553.61%21846147.29%2617217136
20Washington Capitals2010010036-31000010034-11010000002-210.2503581020104281519051148317114.29%3166.67%0519102950.44%51295553.61%21846147.29%473348142412
21Winnipeg Jets421000011192211000005412100000165150.625111930004432110264733128823227922313.64%9188.89%0519102950.44%51295553.61%21846147.29%1067486315226
_Since Last GM Reset311690120384661816750120146406159400002382612390.62984152236153420296841270282279257412132196501441913.19%1001486.00%1519102950.44%51295553.61%21846147.29%798562686230393201
_Vs Conference1977011034751-41034011012429-59430000223221200.5264785132011613176508163178157254551211374009499.57%631280.95%1519102950.44%51295553.61%21846147.29%491343421143244123
_Vs Division12640010130300623001001419-56410000116115140.5833053830112992306100112881430377952245846.90%42880.95%1519102950.44%51295553.61%21846147.29%3032102699115477

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3139W18415223684174121321965015
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3116912038466
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
167512014640
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
159400023826
Derniers 10 Matchs
WLOTWOTL SOWSOL
421102
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1441913.19%1001486.00%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
270282279253420296
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
519102950.44%51295553.61%21846147.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
798562686230393201


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 - 2019-09-0310Boston Bruins2Dallas Stars3WSommaire du Match
4 - 2019-09-0524Dallas Stars2St. Louis Blues0WSommaire du Match
5 - 2019-09-0632Dallas Stars3Detroit Red Wings0WSommaire du Match
7 - 2019-09-0839Dallas Stars0Washington Capitals2LSommaire du Match
9 - 2019-09-1055Calgary Flames2Dallas Stars1LSommaire du Match
11 - 2019-09-1270Washington Capitals4Dallas Stars3LXSommaire du Match
13 - 2019-09-1482Dallas Stars2Buffalo Sabres0WSommaire du Match
15 - 2019-09-1694Dallas Stars2Columbus Blue Jackets1WSommaire du Match
17 - 2019-09-18108Dallas Stars3Pittsburgh Penguins1WSommaire du Match
18 - 2019-09-19118Dallas Stars5Philadelphia Flyers0WSommaire du Match
20 - 2019-09-21132Ottawa Senators0Dallas Stars6WSommaire du Match
23 - 2019-09-24152Anaheim Ducks2Dallas Stars3WSommaire du Match
25 - 2019-09-26166Pittsburgh Penguins1Dallas Stars5WSommaire du Match
28 - 2019-09-29186Minnesota Wild5Dallas Stars1LSommaire du Match
31 - 2019-10-02201Dallas Stars3Colorado Avalanche1WSommaire du Match
32 - 2019-10-03206Montreal Canadiens3Dallas Stars2LSommaire du Match
35 - 2019-10-06230Colorado Avalanche5Dallas Stars3LSommaire du Match
40 - 2019-10-11264Dallas Stars3Winnipeg Jets1WSommaire du Match
43 - 2019-10-14284Dallas Stars2Calgary Flames4LSommaire du Match
44 - 2019-10-15291Dallas Stars4Vancouver Canucks5LSommaire du Match
46 - 2019-10-17300Dallas Stars1Edmonton Oilers2LXXSommaire du Match
49 - 2019-10-20327Vancouver Canucks4Dallas Stars3LXXSommaire du Match
51 - 2019-10-22342Winnipeg Jets2Dallas Stars4WSommaire du Match
53 - 2019-10-24359Chicago Blackhawks1Dallas Stars2WSommaire du Match
55 - 2019-10-26371Vegas Golden Knights2Dallas Stars3WXSommaire du Match
56 - 2019-10-27376Dallas Stars3Chicago Blackhawks1WSommaire du Match
59 - 2019-10-30402St. Louis Blues4Dallas Stars3LXSommaire du Match
61 - 2019-11-01416Dallas Stars2Minnesota Wild4LSommaire du Match
63 - 2019-11-03431Dallas Stars3Winnipeg Jets4LXXSommaire du Match
65 - 2019-11-05445Winnipeg Jets2Dallas Stars1LSommaire du Match
67 - 2019-11-07461New York Islanders1Dallas Stars3WSommaire du Match
70 - 2019-11-10478New Jersey Devils-Dallas Stars-
73 - 2019-11-13499Vegas Golden Knights-Dallas Stars-
74 - 2019-11-14505Dallas Stars-Nashville Predators-
76 - 2019-11-16523Edmonton Oilers-Dallas Stars-
79 - 2019-11-19539Dallas Stars-Tampa Bay Lightning-
80 - 2019-11-20548Dallas Stars-Florida Panthers-
82 - 2019-11-22566Calgary Flames-Dallas Stars-
88 - 2019-11-28593Colorado Avalanche-Dallas Stars-
89 - 2019-11-29609Dallas Stars-Phoenix Coyotes-
92 - 2019-12-02626Nashville Predators-Dallas Stars-
94 - 2019-12-04640Detroit Red Wings-Dallas Stars-
99 - 2019-12-09677Dallas Stars-Los Angeles Kings-
100 - 2019-12-10687Dallas Stars-Anaheim Ducks-
102 - 2019-12-12702Dallas Stars-San Jose Sharks-
105 - 2019-12-15722Dallas Stars-Colorado Avalanche-
107 - 2019-12-17737Buffalo Sabres-Dallas Stars-
109 - 2019-12-19753Dallas Stars-Minnesota Wild-
118 - 2019-12-28771Tampa Bay Lightning-Dallas Stars-
120 - 2019-12-30776Toronto Maple Leafs-Dallas Stars-
123 - 2020-01-02798Dallas Stars-New Jersey Devils-
125 - 2020-01-04810Dallas Stars-New York Rangers-
126 - 2020-01-05816Dallas Stars-New York Islanders-
129 - 2020-01-08842Minnesota Wild-Dallas Stars-
130 - 2020-01-09852Dallas Stars-St. Louis Blues-
133 - 2020-01-12873Carolina Hurricanes-Dallas Stars-
135 - 2020-01-14881Dallas Stars-Toronto Maple Leafs-
137 - 2020-01-16900Dallas Stars-Montreal Canadiens-
138 - 2020-01-17911Dallas Stars-Ottawa Senators-
141 - 2020-01-20929Phoenix Coyotes-Dallas Stars-
143 - 2020-01-22944St. Louis Blues-Dallas Stars-
145 - 2020-01-24960Chicago Blackhawks-Dallas Stars-
147 - 2020-01-26974Dallas Stars-Carolina Hurricanes-
149 - 2020-01-28984Dallas Stars-Boston Bruins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301007Dallas Stars-St. Louis Blues-
154 - 2020-02-021026Edmonton Oilers-Dallas Stars-
156 - 2020-02-041039Dallas Stars-Nashville Predators-
158 - 2020-02-061051Nashville Predators-Dallas Stars-
161 - 2020-02-091076New York Rangers-Dallas Stars-
163 - 2020-02-111090Florida Panthers-Dallas Stars-
165 - 2020-02-131106San Jose Sharks-Dallas Stars-
167 - 2020-02-151122Dallas Stars-Phoenix Coyotes-
168 - 2020-02-161130Dallas Stars-Vegas Golden Knights-
171 - 2020-02-191149Philadelphia Flyers-Dallas Stars-
173 - 2020-02-211168Winnipeg Jets-Dallas Stars-
175 - 2020-02-231184Los Angeles Kings-Dallas Stars-
178 - 2020-02-261202Dallas Stars-Chicago Blackhawks-
179 - 2020-02-271212Columbus Blue Jackets-Dallas Stars-
181 - 2020-02-291227Vancouver Canucks-Dallas Stars-
183 - 2020-03-021241Dallas Stars-Anaheim Ducks-
184 - 2020-03-031254Dallas Stars-San Jose Sharks-
186 - 2020-03-051270Dallas Stars-Los Angeles Kings-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets80453010180
Assistance93,94479,46731,29564,00015,645
Attendance PCT97.86%99.33%97.80%100.00%97.78%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 17772 - 98.73% 493,632$7,898,108$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
18,268,789$ 43,600,000$ 22,699,999$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
43,600,000$ 17,182,402$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
12,340,794$ 118 248,396$ 29,310,728$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
30,065,103$ 43,600,000$ 94,579,246$ 76,854,937$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alex OvechkinAGE:33PO:49OV:77
Patrik LaineAGE:21PO:91OV:73
Jason ZuckerAGE:27PO:58OV:72
Clayton KellerAGE:20PO:87OV:70
Matt CalvertAGE:29PO:46OV:68
Roope HintzAGE:22PO:72OV:66
Dale WeiseAGE:30PO:51OV:65
Jesper BrattAGE:20PO:49OV:65
Devante Smith-PellyAGE:27PO:63OV:64
*Jonathan DahlenAGE:21PO:73OV:59
*Nikita PopugaevAGE:20PO:64OV:59
Tyler SeguinAGE:27PO:77OV:78
Patrice BergeronAGE:33PO:39OV:77
Mathew BarzalAGE:22PO:84OV:73
Clayton KellerAGE:20PO:87OV:70
Riley NashAGE:30PO:66OV:68
Kyle BrodziakAGE:35PO:34OV:68
Derek RyanAGE:32PO:26OV:68
Peter HollandAGE:28PO:70OV:65
*Isac LundestromAGE:19PO:83OV:60
Zack MacEwenAGE:22PO:53OV:60
Stephen GiontaAGE:35PO:35OV:60
Aaron LuchukAGE:22PO:63OV:55
Tyler SeguinAGE:27PO:77OV:78
Patrik LaineAGE:21PO:91OV:73
Jason ZuckerAGE:27PO:58OV:72
Clayton KellerAGE:20PO:87OV:70
Riley NashAGE:30PO:66OV:68
Matt CalvertAGE:29PO:46OV:68
Kyle BrodziakAGE:35PO:34OV:68
Dale WeiseAGE:30PO:51OV:65
Jesper BrattAGE:20PO:49OV:65
Devante Smith-PellyAGE:27PO:63OV:64
T.J. HensickAGE:33PO:51OV:61
Nicholas MerkleyAGE:22PO:78OV:60
Nikita JevpalovsAGE:24PO:60OV:60
Nick LappinAGE:26PO:48OV:60

Défense #1Défense #2Gardien
Jacob TroubaAGE:25PO:83OV:76
Ryan EllisAGE:28PO:65OV:76
Josh MorrisseyAGE:24PO:83OV:73
Duncan KeithAGE:35PO:34OV:73
Christopher TanevAGE:29PO:35OV:71
Samuel GirardAGE:21PO:73OV:68
Dylan McIlrathAGE:27PO:71OV:65
Chris BreenAGE:30PO:55OV:65
Philippe MyersAGE:22PO:54OV:65
Mark BarberioAGE:29PO:40OV:64
Matt IrwinAGE:31PO:27OV:64
Kevin GravelAGE:27PO:46OV:63
Timothy LiljegrenAGE:20PO:83OV:62
Joe HickettsAGE:23PO:53OV:61
*Jake BeanAGE:21PO:85OV:60
*Cam DineenAGE:21PO:70OV:57
Carey PriceAGE:31PO:54OV:88
Darcy KuemperAGE:29PO:40OV:86
Josef KorenarAGE:21PO:53OV:73
Spencer MartinAGE:24PO:52OV:72
*Martin OuelletteAGE:27PO:45OV:72
*Felix SandstromAGE:22PO:75OV:69
*Stuart SkinnerAGE:20PO:76OV:68

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
Artem ManukyanDallas Stars14165
Artur KayumovDallas Stars1298
Chad KrysDallas Stars1275
Dante FabbroDallas Stars1222
David BernhardtDallas Stars12123
David QuennevilleDallas Stars1280
Filip KralDallas Stars14114
Jack WalkerDallas Stars
Jake WiseDallas Stars1456
Jesper BoqvistDallas Stars1350
Judd PetersonDallas Stars8166
Keith PetruzzelliDallas Stars13134
Levko KoperDallas Stars
Markus NiemelainenDallas Stars12109
Mathias Emilio PettersenDallas Stars1467
Milos RomanDallas Stars14112
Nick SchultzDallas Stars
Nick SuzukiDallas Stars1323
Niclas AlmariDallas Stars12176
Nikita TryamkinDallas Stars
Nikolai ChebykinDallas Stars167
Nils LundkvistDallas Stars1444
Noah GregorDallas Stars1286
Olof LindbomDallas Stars1492
Ryan JohnstonDallas Stars
Scott ReedyDallas Stars13130

Choix au Repêchage

Année R1R2R3R4R5R6
15Dal Tor Dal Tor NYI
16Dal Flo Dal Dal MTL Dal Nas Dal
17Dal Dal NYI Dal Dal Nas Dal
18Dal Dal Dal Dal VGK Dal Dal
19Dal Dal Dal Dal Dal Dal



[2019-10-20 08:26:43] - TRADE : From Dallas Stars to Vegas Golden Knights : Michael Raffl (65).
[2019-08-20 20:11:03] - Aaron Luchuk was added to Dallas Stars.
[2019-08-08 17:19:45] - Josef Korenar was added to Dallas Stars.
[2019-08-07 07:40:59] - TRADE : From Nashville Predators to Dallas Stars : Filip Kral (P), Y:16-RND:6-Nas.
[2019-08-07 07:40:59] - TRADE : From Dallas Stars to Nashville Predators : Brandon Gignac (57), Logan Shaw (65).
[2019-08-05 19:20:37] - Stars hired Scott Gordon for 1 000 000 $ for 4 year(s).
[2019-07-28 16:44:25] - TRADE : From Calgary Flames to Dallas Stars : Mark Barberio (65).
[2019-07-28 16:43:13] - TRADE : From San Jose Sharks to Dallas Stars : Dylan McIlrath (66).
[2019-07-28 16:43:04] - TRADE : From San Jose Sharks to Dallas Stars : Dale Weise (65).
[2019-07-28 16:42:54] - TRADE : From New York Islanders to Dallas Stars : Michael Raffl (66).
[2019-07-28 16:42:12] - TRADE : From Nashville Predators to Dallas Stars : Peter Holland (65).
[2019-07-28 16:41:57] - TRADE : From Buffalo Sabres to Dallas Stars : Kevin Gravel (63).
[2019-07-24 16:28:21] - TRADE : From Dallas Stars to Montreal Canadiens : David Farrance (P), Y:17-RND:3-Dal.
[2019-07-24 16:28:21] - TRADE : From Montreal Canadiens to Dallas Stars : Riley Nash (68).
[2019-07-19 09:09:25] - Dallas Stars drafts Artem Manukyan as the #165 overall pick in the Entry Draft of year 14.
[2019-07-19 09:06:22] - TRADE : From San Jose Sharks to Dallas Stars : Y:14-RND:6-Cal.
[2019-07-19 09:06:22] - TRADE : From Dallas Stars to San Jose Sharks : Y:15-RND:5-PHX.
[2019-06-29 11:02:40] - Dallas Stars drafts Milos Roman as the #112 overall pick in the Entry Draft of year 14.



[2019-11-21 13:29:38] Auto Lines Partial Function has been run for Dallas Stars.
[2019-11-21 13:29:38] Auto Roster Partial Function has been run for Dallas Stars.
[2019-11-21 13:29:38] Roope Hintz of Dallas Stars was sent to pro.
[2019-11-19 11:42:01] Game 327 - Tyler Seguin from Dallas Stars is injured (Sprained Right Knee) and is out for 2 months.
[2019-10-30 09:52:07] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.9.9
[2019-10-28 10:01:19] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.9.9



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
143116901203846618167501201464061594000023826123984152236153420296841270282279257412132196501441913.19%1001486.00%1519102950.44%51295553.61%21846147.29%798562686230393201
Total Saison Régulière3116901203846618167501201464061594000023826123984152236153420296841270282279257412132196501441913.19%1001486.00%1519102950.44%51295553.61%21846147.29%798562686230393201