Dallas Stars

GP: 59 | W: 40 | L: 14 | OTL: 5 | P: 85
GF: 216 | GA: 159 | PP%: 25.40% | PK%: 79.90%
DG: Pierre-Olivier Lefrançois | Morale : 96 | Moyenne d'Équipe : 80
Prochain matchs #929 vs St. Louis Blues
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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 Ovechkin (A)XX100.00945584979698989850899988559595186880
2Patrice Bergeron (A)X99.00805587929594849398909299559595179860
3Tyler SeguinXX99.00815582969191979695899593558884183860
4Patrik LaineXX100.00885588969192959558819884558180180840
5Mathew Barzal (R)X99.00675583978190929677988286557977182830
6Clayton Keller (R)XXX99.00605582977690929371908379557672185800
7Jason ZuckerXX100.00695587907986859158839185557466186800
8Justin AbdelkaderXX100.00985583879595878374787388558277168790
9Derek RyanX100.00675588798282828295797588557273184760
10Kyle BrodziakX100.00845587778787677889797092558682180760
11Jesper Bratt (R)XX100.00715582917082848364787474557070182740
12Matt CalvertX100.00765573787578777860737186558683180730
13Duncan Keith (C)X99.00755592979294999625876295559999184870
14Jacob TroubaX99.00855582939190989125846494558078185840
15Ryan EllisX100.00745598928893979425877394558481172840
16Christopher TanevX100.00725596859386877425686497558382172800
17Josh MorrisseyX100.00885583906387538925756792558082185780
18Matt IrwinX100.00855592768973797425646381558479144740
Rayé
1Logan ShawXX100.00805563738582857171686579557070120700
2Carl GunnarssonX100.00735586778279727225626783558377162730
MOYENNE D'ÉQUIPE99.7078558588858786865780768855828017580
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 Kuemper100.0082898883858584758975558075183810
2Carey Price98.0082748080818281828287559393180810
Rayé
MOYENNE D'ÉQUIPE99.008282848283848379868155878418281
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
1Mathew BarzalDallas StarsC59174562100030125184561279.24%8118220.056152149196000086146.93%161100011.0502000433
2Tyler SeguinDallas StarsC/RW59322557104001131062025212315.84%18127321.5895145019600061453257.69%15600020.9003000644
3Alex OvechkinDallas StarsLW/RW5928285612340181892177017112.90%5114919.4914102473215000034238.83%10300000.9703000762
4Patrik LaineDallas StarsLW/RW5624305485715139732126415311.32%5106419.014111545183000004144.93%6900001.0101012527
5Patrice BergeronDallas StarsC571933521019562165239651557.95%21130622.92514195320200031912457.60%175000000.8002010511
6Jacob TroubaDallas StarsD59540453335107698824525.68%72137123.2431518581940000144100.00%000000.6600001141
7Duncan KeithDallas StarsD586364213581096876425599.38%64144524.9341317462120000160000.00%000000.5800200153
8Clayton KellerDallas StarsC/LW/RW5919224115203691564113612.18%9116419.74581339214000084051.02%9800010.7000000120
9Ryan EllisDallas StarsD588334115681073809229658.70%67136623.5551116542100001128100.00%000000.6000002312
10Josh MorrisseyDallas StarsD5910233376010974988344611.36%63124321.07681439193000057100.00%000000.5300101111
11Jason ZuckerDallas StarsLW/RW5914112513951065126329911.11%365211.05101527000005135.00%4000000.7700001230
12Derek RyanDallas StarsC586131913207817820547.69%562510.79000000003523058.33%68400000.6100000202
13Christopher TanevDallas StarsD564131718140544426131815.38%6186915.52011160000163000.00%000000.3900000103
14Justin AbdelkaderDallas StarsLW/RW5297167435784686193910.47%765212.550000100031271343.48%4600000.4900000003
15Matt CalvertDallas StarsLW598513-280203038152221.05%54447.53000020000161052.78%3600000.5900000002
16Jesper BrattDallas StarsLW/RW596511100121857112810.53%13405.7710112000003050.00%1600000.6500000010
17Matt IrwinDallas StarsD46291163205820238168.70%3161613.4000003000041000.00%000000.3600000010
18Carl GunnarssonDallas StarsD44189717529132111154.76%3661914.0800000000237000.00%000000.2900100100
19Kyle BrodziakDallas StarsC59167226103154217364.76%84447.530000000001250052.73%53100000.3200000000
20Samuel GirardStars (Dal)D232352135271390222.22%1129112.6610118000010010.00%000000.3400001000
21Joe HickettsStars (Dal)D1000-100200020.00%01111.780000000000000.00%000000.0000000000
22Logan ShawDallas StarsC/RW2000000400100.00%094.6200000000000033.33%600000.0000000000
Stats d'équipe Total ou en Moyenne110122139561616953585123312962027597141810.90%5001814316.48641111755142072000181425391552.80%514600040.68011428403434
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 Stars3220630.9172.34184543728650220.75082831201
2Carey PriceDallas Stars3120820.8962.84171102817760010.66733128022
Stats d'équipe Total ou en Moyenne63401450.9072.5835574515316410230.727115959223


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$1,689,266$No
Carey PriceDallas StarsG291987-08-16No216 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$519,774$No
Carl GunnarssonDallas StarsD301986-11-09No196 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Christopher TanevDallas StarsD271989-12-20No185 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Clayton KellerDallas StarsC/LW/RW181998-06-25Yes168 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Darcy KuemperDallas StarsG261990-05-05No205 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm500,000$500,000$129,944$No
Derek RyanDallas StarsC301986-12-29No170 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm300,000$300,000$77,966$No
Duncan KeithDallas StarsD331983-07-16No192 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$1,689,266$No
Jacob TroubaDallas StarsD221994-02-26No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm2,500,000$2,500,000$649,718$No
Jason ZuckerDallas StarsLW/RW241992-01-16No188 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Jesper BrattDallas StarsLW/RW181998-07-30Yes174 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Josh MorrisseyDallas StarsD211995-03-28No195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Justin AbdelkaderDallas StarsLW/RW291987-02-25No218 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,700,000$2,700,000$701,695$No
Kyle BrodziakDallas StarsC321984-05-25No212 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$129,944$No
Logan ShawDallas StarsC/RW241992-10-05No202 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
Mathew BarzalDallas StarsC191997-05-26Yes187 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Matt CalvertDallas StarsLW271989-12-23No187 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Matt IrwinDallas StarsD291987-11-28No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Patrice BergeronDallas StarsC311985-07-23No194 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm6,500,000$6,500,000$1,689,266$No
Patrik LaineDallas StarsLW/RW181998-04-19No206 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Ryan EllisDallas StarsD261991-01-02No175 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Tyler SeguinDallas StarsC/RW241992-01-30No200 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm6,300,000$6,300,000$1,637,288$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2225.82196 Lbs6 ft12.592,272,727$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
50,000,000$43,500,000$24,200,000$5,100,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinPatrice BergeronClayton Keller35113
2Patrik LaineMathew BarzalTyler Seguin35113
3Justin AbdelkaderDerek RyanJason Zucker20122
4Matt CalvertKyle BrodziakJesper Bratt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan KeithJacob Trouba42122
2Josh MorrisseyRyan Ellis40122
3Matt IrwinChristopher Tanev18131
4Jacob TroubaDuncan Keith0122
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 KeithJacob Trouba60023
2Josh MorrisseyRyan Ellis40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Patrice BergeronJustin Abdelkader55041
2Kyle BrodziakTyler Seguin45041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christopher TanevDuncan Keith55050
2Josh MorrisseyJacob Trouba45050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Patrice Bergeron60050Christopher TanevDuncan Keith60050
2Kyle Brodziak40050Josh MorrisseyJacob Trouba40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mathew BarzalAlex Ovechkin50113
2Patrice BergeronTyler Seguin50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan KeithChristopher Tanev50122
2Josh MorrisseyJacob Trouba50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex OvechkinPatrice BergeronTyler SeguinDuncan KeithRyan Ellis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin AbdelkaderPatrice BergeronTyler SeguinChristopher TanevDuncan Keith
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mathew Barzal, Patrice Bergeron, Tyler SeguinJason Zucker, Jesper BrattDerek Ryan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Duncan Keith, Jacob Trouba, Josh MorrisseyDuncan KeithJosh Morrissey, Matt Irwin
Tirs de Pénalité
Alex Ovechkin, Mathew Barzal, Tyler Seguin, Patrice Bergeron, Clayton Keller
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
1Anaheim Ducks31100100910-12010010058-31100000042230.500914230022509029204107620325218316.67%10280.00%01176219953.48%1025195652.40%51193954.42%765468223618
2Boston Bruins210010001183100010005411100000064241.000112132005321932733303622044386233.33%12283.33%01176219953.48%1025195652.40%51193954.42%544044132412
3Buffalo Sabres1010000035-21010000035-20000000000000.000369001110225710032132213100.00%10460.00%01176219953.48%1025195652.40%51193954.42%2114267115
4Calgary Flames22000000918110000005051100000041341.000917260151309332214004788398225.00%40100.00%01176219953.48%1025195652.40%51193954.42%554140132412
5Carolina Hurricanes11000000541000000000001100000054121.00058130013102478904696262150.00%30100.00%01176219953.48%1025195652.40%51193954.42%2013276126
6Chicago Blackhawks1010000023-11010000023-10000000000000.00024600011028981103986233266.67%30100.00%01176219953.48%1025195652.40%51193954.42%2315247126
7Colorado Avalanche21100000550000000000002110000055020.5005813102120691926240481423448112.50%9366.67%01176219953.48%1025195652.40%51193954.42%523640142614
8Columbus Blue Jackets211000007611010000035-21100000041320.5007142110322077223322056208299111.11%40100.00%01176219953.48%1025195652.40%51193954.42%523843132311
9Detroit Red Wings22000000835110000004221100000041341.0008142200332065192521040913309333.33%3166.67%01176219953.48%1025195652.40%51193954.42%574238122412
10Edmonton Oilers22000000954110000003211100000063341.00091625002340642121220611018398450.00%9366.67%01176219953.48%1025195652.40%51193954.42%453149152512
11Florida Panthers11000000523000000000001100000052321.0005813002120328141003615013500.00%000.00%01176219953.48%1025195652.40%51193954.42%2317246116
12Los Angeles Kings22000000826220000008260000000000041.0008162401332080332918031119599222.22%20100.00%01176219953.48%1025195652.40%51193954.42%564037132514
13Minnesota Wild32000001972210000014401100000053250.8339172600441010925384010648156316318.75%50100.00%01176219953.48%1025195652.40%51193954.42%815964223919
14Montreal Canadiens21100000440110000002021010000024-220.5004711012110541415250639204710110.00%10190.00%01176219953.48%1025195652.40%51193954.42%473248152411
15Nashville Predators503001011221-92010000158-330200100713-620.2001223351016501564761429149473210621628.57%16381.25%01176219953.48%1025195652.40%51193954.42%11984127366229
16New Jersey Devils21000001651110000004221000000123-130.75061117002130611722197501433397571.43%6266.67%01176219953.48%1025195652.40%51193954.42%483250142613
17New York Islanders211000008801010000023-11100000065120.50081422003320823121300582225458112.50%10370.00%01176219953.48%1025195652.40%51193954.42%513645142311
18New York Rangers1010000035-2000000000001010000035-200.000369002010331851002692124125.00%000.00%01176219953.48%1025195652.40%51193954.42%2518226126
19Ottawa Senators22000000844110000002111100000063341.000814220033207423321905719124210330.00%6266.67%01176219953.48%1025195652.40%51193954.42%533941142513
20Philadelphia Flyers11000000211000000000001100000021121.0002460011003216880284424400.00%20100.00%01176219953.48%1025195652.40%51193954.42%2820216105
21Phoenix Coyotes321000001183211000006421100000054140.6671120310044307327163001073241656233.33%13192.31%01176219953.48%1025195652.40%51193954.42%674674223718
22Pittsburgh Penguins11000000532000000000001100000053221.000510150040104110102102176222150.00%3233.33%01176219953.48%1025195652.40%51193954.42%2417227126
23San Jose Sharks32100000981220000007521010000023-140.667917260032408526352408420195413538.46%9188.89%01176219953.48%1025195652.40%51193954.42%765466203619
24St. Louis Blues22000000862110000004311100000043141.0008142200242068182327067221739600.00%6183.33%01176219953.48%1025195652.40%51193954.42%473247132412
25Tampa Bay Lightning220000001266110000007341100000053241.0001222340063307728113805619324910330.00%7185.71%01176219953.48%1025195652.40%51193954.42%553938132513
26Toronto Maple Leafs22000000826110000003031100000052341.00081523013050813318300351385412433.33%4175.00%01176219953.48%1025195652.40%51193954.42%594536122313
Total5939140120321615957291780110296732330226001011208634850.720216389605357770681199863865468829164445652712132526425.40%1994079.90%01176219953.48%1025195652.40%51193954.42%151210821324417727369
28Vancouver Canucks11000000532000000000001100000053221.00059140003203310158028711255240.00%3166.67%01176219953.48%1025195652.40%51193954.42%2519217126
29Vegas Golden Knights11000000202000000000001100000020221.000246011100318158030916214125.00%80100.00%01176219953.48%1025195652.40%51193954.42%2719206115
30Washington Capitals2200000014311110000007161100000072541.0001420340046407726302105417124012325.00%50100.00%01176219953.48%1025195652.40%51193954.42%503544142412
31Winnipeg Jets32100000911-22110000058-31100000043140.667916250034209430343009321336116212.50%17664.71%01176219953.48%1025195652.40%51193954.42%805762223719
_Since Last GM Reset5939140120321615957291780110296732330226001011208634850.720216389605357770681199863865468829164445652712132526425.40%1994079.90%01176219953.48%1025195652.40%51193954.42%151210821324417727369
_Vs Conference332090020210790171810500102544771510400100534310440.6671071953022332393601073334362365199242372806901413524.82%1142181.58%01176219953.48%1025195652.40%51193954.42%836594747239411207
_Vs Division1676001024553-8833000022026-6843001002527-2170.531458212720122013052414819017419460120126336701420.00%561376.79%01176219953.48%1025195652.40%51193954.42%404287366116202100

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5985SOL121638960519981644456527121335
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5939141203216159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2917811029673
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
30226010112086
Derniers 10 Matchs
WLOTWOTL SOWSOL
430102
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2526425.40%1994079.90%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
638654688297770681
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
1176219953.48%1025195652.40%51193954.42%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
151210821324417727369


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 - 2018-09-068Phoenix Coyotes1Dallas Stars4WSommaire du Match
4 - 2018-09-0821Winnipeg Jets5Dallas Stars1LSommaire du Match
7 - 2018-09-1138Toronto Maple Leafs0Dallas Stars3WSommaire du Match
10 - 2018-09-1461Anaheim Ducks3Dallas Stars1LSommaire du Match
12 - 2018-09-1676Dallas Stars6Ottawa Senators3WSommaire du Match
13 - 2018-09-1779Dallas Stars2New Jersey Devils3LXXSommaire du Match
16 - 2018-09-20100Minnesota Wild2Dallas Stars3WSommaire du Match
20 - 2018-09-24124Los Angeles Kings0Dallas Stars5WSommaire du Match
22 - 2018-09-26139Anaheim Ducks5Dallas Stars4LXSommaire du Match
25 - 2018-09-29162Dallas Stars4Detroit Red Wings1WSommaire du Match
27 - 2018-10-01173Dallas Stars2Montreal Canadiens4LSommaire du Match
29 - 2018-10-03191Dallas Stars5Toronto Maple Leafs2WSommaire du Match
31 - 2018-10-05206Dallas Stars7Washington Capitals2WSommaire du Match
33 - 2018-10-07211Dallas Stars6Boston Bruins4WSommaire du Match
34 - 2018-10-08215Dallas Stars4Columbus Blue Jackets1WSommaire du Match
36 - 2018-10-10229San Jose Sharks2Dallas Stars3WSommaire du Match
38 - 2018-10-12246Nashville Predators5Dallas Stars3LSommaire du Match
40 - 2018-10-14262Columbus Blue Jackets5Dallas Stars3LSommaire du Match
44 - 2018-10-18289Boston Bruins4Dallas Stars5WXSommaire du Match
46 - 2018-10-20307Dallas Stars6New York Islanders5WSommaire du Match
47 - 2018-10-21311Dallas Stars3New York Rangers5LSommaire du Match
49 - 2018-10-23329Dallas Stars5Pittsburgh Penguins3WSommaire du Match
50 - 2018-10-24338Ottawa Senators1Dallas Stars2WSommaire du Match
51 - 2018-10-25347Dallas Stars4Colorado Avalanche2WSommaire du Match
54 - 2018-10-28369Dallas Stars6Edmonton Oilers3WSommaire du Match
55 - 2018-10-29377Dallas Stars4Calgary Flames1WSommaire du Match
58 - 2018-11-01406Dallas Stars5Vancouver Canucks3WSommaire du Match
60 - 2018-11-03413Edmonton Oilers2Dallas Stars3WSommaire du Match
64 - 2018-11-07441San Jose Sharks3Dallas Stars4WSommaire du Match
66 - 2018-11-09459Dallas Stars2Vegas Golden Knights0WSommaire du Match
69 - 2018-11-12475Dallas Stars4Anaheim Ducks2WSommaire du Match
70 - 2018-11-13484Dallas Stars2San Jose Sharks3LSommaire du Match
72 - 2018-11-15496Dallas Stars1Colorado Avalanche3LSommaire du Match
75 - 2018-11-18520Calgary Flames0Dallas Stars5WSommaire du Match
77 - 2018-11-20535Chicago Blackhawks3Dallas Stars2LSommaire du Match
79 - 2018-11-22552Dallas Stars5Minnesota Wild3WSommaire du Match
80 - 2018-11-23561New York Islanders3Dallas Stars2LSommaire du Match
81 - 2018-11-24571Dallas Stars2Nashville Predators3LSommaire du Match
83 - 2018-11-26587Detroit Red Wings2Dallas Stars4WSommaire du Match
85 - 2018-11-28605Montreal Canadiens0Dallas Stars2WSommaire du Match
87 - 2018-11-30617New Jersey Devils2Dallas Stars4WSommaire du Match
89 - 2018-12-02633Washington Capitals1Dallas Stars7WSommaire du Match
91 - 2018-12-04651Dallas Stars4Winnipeg Jets3WSommaire du Match
93 - 2018-12-06663Dallas Stars4St. Louis Blues3WSommaire du Match
95 - 2018-12-08678Dallas Stars2Philadelphia Flyers1WSommaire du Match
97 - 2018-12-10689St. Louis Blues3Dallas Stars4WSommaire du Match
100 - 2018-12-13712Tampa Bay Lightning3Dallas Stars7WSommaire du Match
102 - 2018-12-15727Los Angeles Kings2Dallas Stars3WSommaire du Match
104 - 2018-12-17742Winnipeg Jets3Dallas Stars4WSommaire du Match
111 - 2018-12-24776Buffalo Sabres5Dallas Stars3LSommaire du Match
113 - 2018-12-26783Minnesota Wild2Dallas Stars1LXXSommaire du Match
114 - 2018-12-27794Dallas Stars4Nashville Predators5LXSommaire du Match
116 - 2018-12-29805Phoenix Coyotes3Dallas Stars2LSommaire du Match
119 - 2019-01-01832Dallas Stars1Nashville Predators5LSommaire du Match
121 - 2019-01-03838Dallas Stars5Phoenix Coyotes4WSommaire du Match
124 - 2019-01-06867Dallas Stars5Florida Panthers2WSommaire du Match
126 - 2019-01-08885Dallas Stars5Tampa Bay Lightning3WSommaire du Match
128 - 2019-01-10893Dallas Stars5Carolina Hurricanes4WSommaire du Match
131 - 2019-01-13917Nashville Predators3Dallas Stars2LXXSommaire du Match
133 - 2019-01-15929St. Louis Blues-Dallas Stars-
135 - 2019-01-17947Carolina Hurricanes-Dallas Stars-
136 - 2019-01-18957Dallas Stars-Chicago Blackhawks-
138 - 2019-01-20976Dallas Stars-Vegas Golden Knights-
140 - 2019-01-22987Dallas Stars-Los Angeles Kings-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241006Dallas Stars-St. Louis Blues-
145 - 2019-01-271022New York Rangers-Dallas Stars-
147 - 2019-01-291036Colorado Avalanche-Dallas Stars-
149 - 2019-01-311052Chicago Blackhawks-Dallas Stars-
152 - 2019-02-031073Dallas Stars-Buffalo Sabres-
154 - 2019-02-051087Dallas Stars-Minnesota Wild-
155 - 2019-02-061096Vegas Golden Knights-Dallas Stars-
157 - 2019-02-081114Vancouver Canucks-Dallas Stars-
159 - 2019-02-101124Florida Panthers-Dallas Stars-
161 - 2019-02-121139Colorado Avalanche-Dallas Stars-
163 - 2019-02-141152Pittsburgh Penguins-Dallas Stars-
165 - 2019-02-161177Dallas Stars-Winnipeg Jets-
167 - 2019-02-181186Dallas Stars-Calgary Flames-
168 - 2019-02-191192Dallas Stars-Edmonton Oilers-
170 - 2019-02-211213Dallas Stars-Vancouver Canucks-
173 - 2019-02-241233Philadelphia Flyers-Dallas Stars-
176 - 2019-02-271255Dallas Stars-Chicago Blackhawks-
177 - 2019-02-281260Minnesota Wild-Dallas Stars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets80453010180
Assistance169,918142,60456,998115,98228,413
Attendance PCT97.65%98.35%98.27%99.98%97.98%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
12 17721 - 98.45% 868,802$25,195,246$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
37,737,291$ 50,000,000$ 33,399,498$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
50,000,000$ 36,140,674$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
10,425,619$ 46 298,588$ 13,735,048$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
13,941,877$ 50,000,000$ 105,585,850$ 102,069,592$



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:53
Patrice BergeronAGE:31PO:1OV:86
Tyler SeguinAGE:24PO:1OV:86
*Mathew BarzalAGE:19PO:1OV:83
*Clayton KellerAGE:18PO:1OV:80
Derek RyanAGE:30PO:1OV:76
Kyle BrodziakAGE:32PO:1OV:76
Mike CammalleriAGE:34PO:1OV:71
Logan ShawAGE:24PO:1OV:70
T.J. HensickAGE:31PO:1OV:56
Chris BrownAGE:25PO: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:53
*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:54
Max GortzAGE:23PO:1OV:52

Défense #1Défense #2Gardien
Duncan KeithAGE:33PO:1OV:87
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
Carl GunnarssonAGE:30PO:1OV:73
*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
Julian MelchioriAGE:25PO:1OV:57
Nikita TryamkinAGE:26PO:1OV:56
*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 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



[2019-02-05 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.
[2018-09-03 23:14:10] - Zack MacEwen was added to Dallas Stars.
[2018-09-03 18:01:40] - TRADE : From Pittsburgh Penguins to Dallas Stars : Christopher Tanev, Nick Lappin.
[2018-09-03 18:01:40] - TRADE : From Dallas Stars to Pittsburgh Penguins : Joonas Donskoi, Yegor Rykov (P), Elvis Merzilikins (P).
[2018-09-03 12:33:51] - TRADE : From Nashville Predators to Dallas Stars : Dakota Mermis.
[2018-09-03 12:33:51] - TRADE : From Dallas Stars to Nashville Predators : Chase Balisy, Andrey Pedan.
[2018-09-03 12:33:05] - TRADE : From Dallas Stars to Montreal Canadiens : Y:14-RND:3-MTL.
[2018-09-03 12:32:30] - TRADE : From Vegas Golden Knights to Dallas Stars : Y:18-RND:4-VGK.
[2018-09-03 12:32:30] - TRADE : From Dallas Stars to Vegas Golden Knights : Corey Tropp, Michael Latta, Sam Carrick, Jimmy Lodge, Ryan Culkin, Ryan Bourque, Clark Bishop.
[2018-09-03 12:29:30] - TRADE : From Dallas Stars to Nashville Predators : Y:14-RND:4-MTL.



[2019-02-14 16:37:27] Nick Lappin from Stars has scored a Hat Trick!
[2019-02-12 08:55:45] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-02-11 14:47:00] Ryan Ellis from Dallas Stars is back from Strained Right Elbow Injury.
[2019-02-09 10:19:22] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-02-08 10:29:07] Game 867 - Ryan Ellis from Dallas Stars is injured (Strained Right Elbow) and is out for 1 week.
[2019-02-07 10:16:53] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[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.
[2019-01-30 09:35:06] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-01-27 13:48:42] Last 7 Days Farm Star : 1 - Joakim Ryan of Wild (4-3-7) / 2 - Matt Frattin of Stars (5-1-6) / 3 - Trevor Smith of Thunderbirds (4-4-8)
[2019-01-26 17:55:02] Clayton Keller from Dallas Stars has scored a Hat Trick!
[2019-01-24 17:31:25] Matt Frattin from Stars has scored a Hat Trick!
[2019-01-24 17:31:25] Daniel Zaar from Stars has scored a Hat Trick!
[2019-01-24 17:30:42] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-01-23 11:15:28] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-01-23 11:15:28] Mike Cammalleri of Dallas Stars was sent down to farm.
[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.
[2019-01-21 11:37:17] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-01-21 11:37:17] Mike Cammalleri of Dallas Stars was sent to pro.
[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.
[2019-01-19 11:34:23] Justin Abdelkader from Dallas Stars is back from Bruised Right Leg Injury.
[2019-01-19 11:33:49] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[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.
[2019-01-18 19:21:34] Patrice Bergeron from Dallas Stars is back from Separated Left Shoulder Injury.
[2019-01-17 17:47:12] Auto Lines Partial Function has been run for Dallas Stars.
[2019-01-17 17:47:12] Auto Roster Partial Function has been run for Dallas Stars.
[2019-01-17 17:46:42] Stars roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-01-17 17:45:40] Stars roster errors : Not enough Left Wings available in Farm Team! 2 Dressed. 3 Required. Not enough Forward available in Farm Team! 8 Dressed. 9 Required. Some errors will be automatically fixed.
[2019-01-17 17:44:47] Stars roster errors : Not enough Left Wings available in Farm Team! 2 Dressed. 3 Required. Not enough Forward available in Farm Team! 8 Dressed. 9 Required. Some errors will be automatically fixed.
[2019-01-17 17:44:31] Auto Roster Function has been run for Dallas Stars.
[2019-01-17 17:44:31] Auto Roster Partial Function has been run for Dallas Stars.
[2019-01-17 17:42:51] Stars roster errors : Not enough Left Wings available in Farm Team! 2 Dressed. 3 Required. Not enough Forward available in Farm Team! 8 Dressed. 9 Required. Some errors will be automatically fixed.
[2019-01-17 17:42:35] Auto Roster Function has been run for Dallas Stars.
[2019-01-17 17:42:35] Auto Roster Partial Function has been run for Dallas Stars.
[2019-01-17 17:42:26] Successfully loaded Dallas Stars lines done with STHS Client - 3.1.5.5
[2019-01-16 14:29:37] Game 569 - Hunter Fejes from Stars is injured (Lower Body) and is out for 1 week.



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
13593914012032161595729178011029673233022600101120863485216389605357770681199863865468829164445652712132526425.40%1994079.90%01176219953.48%1025195652.40%51193954.42%151210821324417727369
Total Saison Régulière593914012032161595729178011029673233022600101120863485216389605357770681199863865468829164445652712132526425.40%1994079.90%01176219953.48%1025195652.40%51193954.42%151210821324417727369
Séries
12125700000434217430000031247514000001218-610438012310151513043814414814603691049623149918.37%43979.07%026647356.24%22841754.68%11421154.03%2962082718515378
12125700000434217430000031247514000001218-610438012310151513043814414814603691049623149918.37%43979.07%026647356.24%22841754.68%11421154.03%2962082718515378
Total Séries24101400000868421486000006248141028000002436-1220861602462030302608762882962920738208192462981818.37%861879.07%053294656.24%45683454.68%22842254.03%592416542170306157