Stars

GP: 6 | W: 4 | L: 1 | OTL: 1 | P: 9
GF: 17 | GA: 11 | PP%: 10.71% | PK%: 78.26%
DG: Hugo St-Amour | Morale : 52 | Moyenne d'Équipe : 80
Prochain matchs #83 vs Jets
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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
1Jonathan ToewsX100.005840807981879578908282828279926954860
2Mark ScheifeleX99.006140808485889582868284808371728354860
3Nathan MacKinnonX96.006439829075889588808786638869788954860
4Leon DraisaitlXXX99.006242758082899579838591688567698654850
5Zach PariseX100.006238847671848775547780787485804354830
6Andrew ShawX100.008552597768817677747876726975714754810
7David PerronXX98.006943707974827178567781637879726254810
8Chris KreiderX100.008543728087839276547379627875806954800
9Mike HoffmanXX100.005838848070839576547783528078764654800
10Matt CullenX100.005737896378698463776661856293852554730
11Carter RowneyXX100.009237896582737564746862796378703554720
12Miles WoodX100.008157597079757667506966586769656054720
13John CarlsonX96.006239827887929376309073886277706554810
14Roman JosiX97.006140807879929577308374856376886154800
15Josh MorrisseyX100.007137887374897571308067935967668354780
16Anton StralmanX100.007936906670876065307757905182732954760
17Ben ChiarotX100.008644696587849164307261795275694954750
18Brooks OrpikX100.008951766187806658306957825289793254750
Rayé
1Adam McQuaidX100.008954696288816362306460825182744244740
MOYENNE D'ÉQUIPE99.21724278747984837255777376687775575379
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
1Jacob Markstrom98.00899593948887898887898877836354860
2Jaroslav Halak100.00938684699291939291939284882654850
Rayé
MOYENNE D'ÉQUIPE99.0091918982908991908991908186455486
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau80877884969047CAN6423,893,567$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jonathan ToewsStarsC6358840881651018.75%38714.5000002000090060.00%4072001.8411000020
2Zach PariseStarsLW625740047172711.76%210217.11112520000000014.29%721001.3601000001
3Andrew ShawStarsRW6325540154154320.00%410217.10101320000000116.67%632000.9701000100
4Mark ScheifeleStarsC6145320810176135.88%111719.500223180001150049.30%7132000.8501000001
5David PerronStarsLW/RW6134-112087126108.33%312120.33101726000031045.45%1134000.6601000000
6Leon DraisaitlStarsC/LW/RW6224-100104244188.33%412821.37011126000081033.33%965000.6201000011
7Carter RowneyStarsC/RW62135207551340.00%27612.7100000000031033.33%605000.7900000100
8Mike HoffmanStarsLW/RW6213600451921110.53%07312.1800000000001033.33%372000.8201000001
9Nathan MacKinnonStarsC6123-1601292810243.57%515826.340117250000160054.76%21062100.3801000001
10Ben ChiarotStarsD6022200263210.00%36911.620000000002000.00%001000.5700000000
11Roman JosiStarsD60223206158150.00%1017128.60011229000017000.00%034000.2300000000
12Josh MorrisseyStarsD60114009511930.00%712320.66000117000014000.00%036000.1600000000
13Anton StralmanStarsD6000400873520.00%512520.92000017000014000.00%010000.0000000000
14Brooks OrpikStarsD60002606122000.00%56611.000000000000000.00%001000.0000000000
15Chris KreiderStarsLW6000040443220.00%1416.9900000000190060.00%530000.0001000000
16John CarlsonStarsD6000340786530.00%1117128.58000029000016000.00%033000.0000000000
17Matt CullenStarsC6000000010110.00%1294.9500000000000029.41%1711000.0000000000
18Miles WoodStarsLW6000-100100010.00%0132.1800001000000016.67%600000.0000000000
Stats d'équipe Total ou en Moyenne10817304745460119117189651178.99%67177916.483692923300021334150.13%3915141100.5319000235
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
1Jacob MarkstromStars64110.9511.64365001020696000.778960220
Stats d'équipe Total ou en Moyenne64110.9511.64365001020696000.778960220


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
Adam McQuaidStarsD301986-10-12No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm756,000$756,000$696,000$NoLien
Andrew ShawStarsRW261991-07-20No182 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm917,000$917,000$844,222$NoLien
Anton StralmanStarsD311986-08-01No190 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm2,750,000$2,750,000$2,531,746$NoLien
Ben ChiarotStarsD261991-05-09No219 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm3,500,000$3,500,000$3,222,222$NoLien
Brooks OrpikStarsD371980-09-26No217 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm766,000$766,000$705,206$NoLien
Carter RowneyStarsC/RW281989-05-10No206 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm751,000$751,000$691,397$NoLien
Chris KreiderStarsLW261991-04-30No220 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm4,625,000$4,625,000$4,257,937$NoLien
David PerronStarsLW/RW291988-05-28No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm4,000,000$4,000,000$3,682,540$NoLien
Jacob MarkstromStarsG271990-01-31No206 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm4,300,555$4,300,555$3,959,241$NoLien
Jaroslav HalakStarsG321985-05-13No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm750,000$750,000$690,476$NoLien
John CarlsonStarsD271990-01-10No218 Lbs6 ft3NoNoNo7Avec RestrictionPro & Farm8,000,000$8,000,000$7,365,079$NoLien
Jonathan ToewsStarsC291988-04-29No201 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm10,500,000$10,500,000$9,666,667$NoLien
Josh MorrisseyStarsD221995-03-28No195 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm3,150,000$3,150,000$2,900,000$NoLien
Leon DraisaitlStarsC/LW/RW211995-10-27No208 Lbs6 ft2NoNoNo6Contrat d'EntréePro & Farm8,500,000$8,500,000$7,825,397$NoLien
Mark ScheifeleStarsC241993-03-15No207 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm6,125,000$6,125,000$5,638,889$NoLien
Matt CullenStarsC401976-11-02No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm777,000$777,000$715,333$NoLien
Mike HoffmanStarsLW/RW271989-11-24No180 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm5,187,500$5,187,500$4,775,794$NoLien
Miles WoodStarsLW221995-09-13No195 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm2,750,000$2,750,000$2,531,746$NoLien
Nathan MacKinnonStarsC221995-09-01No205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm6,300,000$6,300,000$5,800,000$NoLien
Roman JosiStarsD271990-06-01No201 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm4,000,000$4,000,000$3,682,540$NoLien
Zach PariseStarsLW331984-07-28No193 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm7,538,462$7,538,462$6,940,171$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.90202 Lbs6 ft12.624,092,548$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
85,943,517$60,880,462$60,880,462$46,963,462$22,625,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Leon DraisaitlNathan MacKinnonMike Hoffman40122
2Zach PariseMark ScheifeleDavid Perron30122
3Chris KreiderJonathan ToewsAndrew Shaw20122
4Miles WoodMatt CullenCarter Rowney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonRoman Josi40122
2Josh MorrisseyBen Chiarot30122
3Anton StralmanBrooks Orpik20122
4John CarlsonRoman Josi10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Leon DraisaitlNathan MacKinnonMike Hoffman60122
2Zach PariseMark ScheifeleJonathan Toews40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonRoman Josi60122
2Josh MorrisseyBen Chiarot40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mark ScheifeleMatt Cullen60122
2Jonathan ToewsZach Parise40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonJosh Morrissey60122
2Josh MorrisseyBen Chiarot40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Cullen60122Josh MorrisseyAnton Stralman60122
2Mark Scheifele40122Josh MorrisseyBen Chiarot40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nathan MacKinnonMark Scheifele60122
2Jonathan ToewsLeon Draisaitl40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonRoman Josi60122
2Josh MorrisseyBen Chiarot40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Leon DraisaitlNathan MacKinnonAndrew ShawJohn CarlsonRoman Josi
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Leon DraisaitlNathan MacKinnonAndrew ShawJohn CarlsonRoman Josi
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nathan MacKinnon, Mike Hoffman, Chris KreiderLeon Draisaitl, Mike HoffmanChris Kreider
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Carlson, Roman Josi, Josh MorrisseyRoman JosiAnton Stralman, Josh Morrissey
Tirs de Pénalité
Nathan MacKinnon, Mark Scheifele, Jonathan Toews, Leon Draisaitl, Zach Parise
Gardien
#1 : Jaroslav Halak, #2 :


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
1Avalanche11000000413110000004130000000000021.0004812001120341651302998145120.00%4175.00%09116156.52%6815543.87%377350.68%2313198178
2Blackhawks11000000413000000000001100000041321.000471100031022796033108244125.00%4175.00%09116156.52%6815543.87%377350.68%2011208188
3Blues1010000013-21010000013-20000000000000.00011200010030881403871021300.00%5260.00%09116156.52%6815543.87%377350.68%2011228168
4Jets11000000422000000000001100000042221.00046100020203115610042161016400.00%50100.00%09116156.52%6815543.87%377350.68%2011229168
5Predateurs210000014401000000112-11100000032130.75048120003117214351913642510441218.33%5180.00%09116156.52%6815543.87%377350.68%472741203618
Total64100001171163110000166033000000115690.75017304700386118960636213206674611928310.71%23578.26%09116156.52%6815543.87%377350.68%132751275610553
_Since Last GM Reset64100001171163110000166033000000115690.75017304700386118960636213206674611928310.71%23578.26%09116156.52%6815543.87%377350.68%132751275610553
_Vs Conference64100001171163110000166033000000115690.75017304700386118960636213206674611928310.71%23578.26%09116156.52%6815543.87%377350.68%132751275610553
_Vs Division64100001171163110000166033000000115690.75017304700386118960636213206674611928310.71%23578.26%09116156.52%6815543.87%377350.68%132751275610553

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
69W1173047189206674611900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
64100011711
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311000166
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3300000115
Derniers 10 Matchs
WLOTWOTL SOWSOL
410001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
28310.71%23578.26%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
606362133861
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
9116156.52%6815543.87%377350.68%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
132751275610553


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
1 - 2019-10-042Blues3Stars1LSommaire du Match
4 - 2019-10-0720Stars4Jets2WSommaire du Match
6 - 2019-10-0930Avalanche1Stars4WSommaire du Match
11 - 2019-10-1451Stars4Blackhawks1WSommaire du Match
12 - 2019-10-1559Predateurs2Stars1LXXSommaire du Match
15 - 2019-10-1871Stars3Predateurs2WSommaire du Match
16 - 2019-10-1983Jets-Stars-
18 - 2019-10-2190Stars-Avalanche-
21 - 2019-10-24106Stars-Blues-
23 - 2019-10-26115Blackhawks-Stars-
26 - 2019-10-29131Predateurs-Stars-
28 - 2019-10-31146Kings-Stars-
30 - 2019-11-02155Stars-Kings-
32 - 2019-11-04170Golden Knights-Stars-
37 - 2019-11-09193Oilers-Stars-
40 - 2019-11-12207Stars-Sharks-
43 - 2019-11-15219Oilers-Stars-
46 - 2019-11-18232Stars-Lightning-
48 - 2019-11-20241Stars-Canadiens-
49 - 2019-11-21248Penguins-Stars-
52 - 2019-11-24265Maple Leafs-Stars-
54 - 2019-11-26275Stars-Capitals-
56 - 2019-11-28282Stars-Maple Leafs-
57 - 2019-11-29292Capitals-Stars-
60 - 2019-12-02309Stars-Ducks-
62 - 2019-12-04316Blue Jackets-Stars-
64 - 2019-12-06327Stars-Senateurs-
66 - 2019-12-08341Senateurs-Stars-
68 - 2019-12-10349Stars-Kings-
70 - 2019-12-12357Stars-Flyers-
71 - 2019-12-13368Ducks-Stars-
74 - 2019-12-16384Stars-Jets-
76 - 2019-12-18391Flyers-Stars-
78 - 2019-12-20398Stars-Flames-
80 - 2019-12-22412Stars-Golden Knights-
81 - 2019-12-23421Penguins-Stars-
84 - 2019-12-26437Stars-Panthers-
86 - 2019-12-28445Blues-Stars-
88 - 2019-12-30456Stars-Blue Jackets-
89 - 2019-12-31464Stars-Penguins-
91 - 2020-01-02476Panthers-Stars-
94 - 2020-01-05491Stars-Islanders-
95 - 2020-01-06498Ducks-Stars-
99 - 2020-01-10517Blues-Stars-
101 - 2020-01-12533Stars-Blackhawks-
102 - 2020-01-13538Stars-Avalanche-
104 - 2020-01-15548Lightning-Stars-
107 - 2020-01-18564Canadiens-Stars-
110 - 2020-01-21579Stars-Blackhawks-
112 - 2020-01-23590Stars-Maple Leafs-
113 - 2020-01-24595Avalanche-Stars-
116 - 2020-01-27611Stars-Senateurs-
118 - 2020-01-29619Kings-Stars-
120 - 2020-01-31634Stars-Sharks-
121 - 2020-02-01642Jets-Stars-
124 - 2020-02-04654Stars-Predateurs-
126 - 2020-02-06665Stars-Bruins-
127 - 2020-02-07671Blackhawks-Stars-
130 - 2020-02-10690Blackhawks-Stars-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14702Stars-Avalanche-
136 - 2020-02-16715Golden Knights-Stars-
138 - 2020-02-18726Stars-Jets-
140 - 2020-02-20738Stars-Blues-
141 - 2020-02-21743Jets-Stars-
144 - 2020-02-24760Stars-Blues-
145 - 2020-02-25766Maple Leafs-Stars-
149 - 2020-02-29788Islanders-Stars-
152 - 2020-03-03803Stars-Flames-
154 - 2020-03-05811Sharks-Stars-
156 - 2020-03-07822Stars-Devils-
159 - 2020-03-10835Stars-Ducks-
160 - 2020-03-11839Devils-Stars-
163 - 2020-03-14859Stars-Predateurs-
164 - 2020-03-15863Sharks-Stars-
168 - 2020-03-19883Bruins-Stars-
170 - 2020-03-21898Stars-Oilers-
172 - 2020-03-23906Avalanche-Stars-
174 - 2020-03-25921Stars-Oilers-
176 - 2020-03-27932Flames-Stars-
178 - 2020-03-29938Stars-Golden Knights-
183 - 2020-04-03957Predateurs-Stars-
186 - 2020-04-06977Flames-Stars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance18,00013,9765,85012,0002,811
Attendance PCT100.00%93.17%97.50%100.00%93.70%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 17546 - 97.48% 1,679,831$5,039,494$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
7,129,920$ 85,943,517$ 85,943,517$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
85,943,517$ 6,820,920$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
63,833,591$ 174 475,328$ 82,707,072$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
84,523,920$ 85,943,517$ -3,296,522$ -23,986,851$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Leon DraisaitlAGE:21PO:86OV:85
Zach PariseAGE:33PO:43OV:83
David PerronAGE:29PO:62OV:81
Chris KreiderAGE:26PO:69OV:80
Mike HoffmanAGE:27PO:46OV:80
Miles WoodAGE:22PO:60OV:72
Antoine RousselAGE:27PO:35OV:71
Nathan MacKinnonAGE:22PO:89OV:86
Mark ScheifeleAGE:24PO:83OV:86
Jonathan ToewsAGE:29PO:69OV:86
Leon DraisaitlAGE:21PO:86OV:85
Matt CullenAGE:40PO:25OV:73
Carter RowneyAGE:28PO:35OV:72
Eric FehrAGE:32PO:46OV:71
Jay BeagleAGE:31PO:25OV:71
Johan LarssonAGE:25PO:59OV:70
Markus GranlundAGE:24PO:70OV:69
Frederick GaudreauAGE:24PO:43OV:63
Leon DraisaitlAGE:21PO:86OV:85
David PerronAGE:29PO:62OV:81
Andrew ShawAGE:26PO:47OV:81
Mike HoffmanAGE:27PO:46OV:80
Carter RowneyAGE:28PO:35OV:72
Cal ClutterbuckAGE:29PO:40OV:71
Dale WeiseAGE:29PO:51OV:69

Défense #1Défense #2Gardien
John CarlsonAGE:27PO:65OV:81
Roman JosiAGE:27PO:61OV:80
Josh MorrisseyAGE:22PO:83OV:78
Anton StralmanAGE:31PO:29OV:76
Ben ChiarotAGE:26PO:49OV:75
Brooks OrpikAGE:37PO:32OV:75
Adam McQuaidAGE:30PO:42OV:74
Mark BorowieckiAGE:28PO:45OV:70
Alexander PetrovicAGE:25PO:65OV:68
Igor OzhiganovAGE:24PO:37OV:65
Jacob MarkstromAGE:27PO:63OV:86
Jaroslav HalakAGE:32PO:26OV:85
Alexandar GeorgievAGE:21PO:49OV:78
Jared CoreauAGE:25PO:45OV:73
Antoine BibeauAGE:23PO:51OV:72

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
Vladim ShipachyovStars

Choix au Repêchage

Année R1R2R3R4R5
6NYI
8DAL DAL DAL DAL DAL



[2019-09-30 22:08:17] - TRADE : From Stars to Bruins : Thomas Greiss (85).
[2019-09-30 22:08:17] - TRADE : From Bruins to Stars : Jacob Markstrom (86).
[2019-09-26 21:06:25] - TRADE : From Stars to Blue Jackets : Jakub Zboril (62).
[2019-09-26 21:06:25] - TRADE : From Blue Jackets to Stars : Miles Wood (72).
[2019-09-25 21:59:27] - Eric Fehr was added to Stars.
[2019-09-24 20:59:49] - Adam McQuaid was added to Stars.
[2019-09-24 20:59:40] - Carter Rowney was added to Stars.
[2019-09-22 21:26:37] - Brooks Orpik was added to Stars.
[2019-09-22 21:26:24] - Thomas Greiss was added to Stars.
[2019-09-22 21:26:15] - Matt Cullen was added to Stars.
[2019-09-20 21:40:03] - Anton Stralman was added to Stars.
[2019-09-19 13:13:55] - TRADE : From Stars to Senateurs : Kasperi Kapanen (74).
[2019-09-19 13:13:55] - TRADE : From Senateurs to Stars : Frederick Gaudreau (62), Markus Granlund (69), Y:6-RND:1-NYI.
[2019-09-16 21:53:25] - Jay Bouwmeester was released.
[2019-08-26 22:59:52] - Jakob Silfverberg was released.
[2019-08-26 22:59:52] - Stars paid 0 $ to release Jakob Silfverberg.
[2019-06-21 22:40:59] - Igor Ozhiganov was added to Stars.
[2019-06-21 22:40:40] - Igor Ozhiganov has been deleted from Stars.
[2019-06-02 13:17:43] - TRADE : From Stars to Oilers : Valeri Nichuskin (P).
[2019-06-01 10:43:07] - TRADE : From Stars to Oilers : James Neal (73), Carter Hart (82), Brendan Perlini (69), Lias Andersson (62), Jeremy Bracco (70), Lawson Crouse (70), Anthony DeAngelo (P), Jake Bean (P), Max Jones (P), Kristian Vesalaine (P), Y:5-RND:1-VGS, Y:6-RND:1-VGS, Y:7-RND:1-DAL.
[2019-06-01 10:43:07] - TRADE : From Oilers to Stars : Cal Clutterbuck (71), Jay Beagle (70), Nathan MacKinnon (86).
[2019-05-31 22:49:09] - TRADE : From Stars to Golden Knights : Brent Burns (82).
[2019-05-31 22:49:09] - TRADE : From Golden Knights to Stars : James Neal (73), Anthony DeAngelo (P), Y:5-RND:1-VGS, Y:6-RND:1-VGS.
[2019-05-28 22:11:03] - Carter Hart has been deleted from Stars.
[2019-05-28 22:10:49] - Carter Hart was added to Stars.
[2019-05-28 21:38:12] - TRADE : From Stars to Senateurs : Y:7-RND:4-DAL, Y:7-RND:5-DAL.
[2019-05-28 21:38:12] - TRADE : From Senateurs to Stars : Jaroslav Halak (86).
[2019-05-28 20:45:11] - TRADE : From Stars to Oilers : Milan Lucic (72), Jared McCann (74), Gabriel Carlsson (64), Dmitry Sokolov (P), Cale Makar (P), Jesperi Kotkaniemi (P), Y:4-RND:1-DAL, Y:5-RND:1-DAL, Y:6-RND:1-DAL.
[2019-05-28 20:45:11] - TRADE : From Oilers to Stars : Mark Scheifele (87), Chris Kreider (82), Roman Josi (80), Zach Parise (84), Andrew Shaw (82).
[2019-05-28 14:15:46] - TRADE : From Stars to Avalanche : Jacob Larsson (66), Logan Brown (63), Keith Yandle (73), Patrik Berglund (66), Y:4-RND:1-FLA, Y:5-RND:1-FLA, Y:6-RND:1-FLA, Y:7-RND:1-FLA, Y:5-RND:3-NYI, Y:6-RND:3-TOR, Y:7-RND:3-TOR, Y:7-RND:3-DAL.
[2019-05-28 14:15:46] - TRADE : From Avalanche to Stars : Leon Draisaitl (86), Mike Hoffman (82).
[2019-05-27 20:00:18] - TRADE : From Penguins to Stars : John Carlson (80), Brent Burns (80), David Perron (86), Jonathan Toews (80), Jeremy Bracco (60).
[2019-05-27 20:00:18] - TRADE : From Stars to Penguins : Alexander Nylander (57), Ryan Murray (70), Dmitry Kulikov (73), Ilya Kovalchuk (77), Justin Schultz (71), Ryan Kesler (72), Y:3-RND:1-DAL, Y:7-RND:1-TOR, Y:3-RND:2-FLA.
[2019-05-06 21:04:59] - Stars was eliminated at round 2 of year 2.
[2019-04-03 21:21:12] - Stars didn't make playoff for year 2.
[2019-04-03 21:02:50] - New Record for Team's Most Penalties Minutes (23) in 1 Game for Stars!
[2019-03-14 20:40:40] - New Record for Team's Most Points (23) in 1 Game for Stars!
[2019-03-14 20:40:40] - New Record for Team's Most Assists (15) in 1 Game for Stars!
[2019-03-14 20:40:40] - New Record for Team's Most Goals (8) in 1 Game for Stars!
[2019-02-12 10:44:48] - TRADE : From Stars to Oilers : Anthony Cirelli (73), Zach Parise (74).
[2019-02-12 10:44:48] - TRADE : From Oilers to Stars : Jakob Silfverberg (72), Y:5-RND:3-NYI.
[2019-02-05 21:07:20] - New Record for Team's Most Shots (48) in 1 Game for Stars!



[2019-10-16 23:49:09] Current fund for Stars is under 0 $.
[2019-10-16 21:57:32] Current fund for Stars is under 0 $.
[2019-10-16 21:57:13] Auto Lines Function has been run for Stars.
[2019-10-16 21:32:32] Current fund for Stars is under 0 $.
[2019-10-15 21:28:19] Current fund for Stars is under 0 $.
[2019-10-14 21:50:10] Current fund for Stars is under 0 $.
[2019-10-14 21:48:41] Auto Lines Function has been run for Stars.
[2019-10-13 21:27:58] Current fund for Stars is under 0 $.
[2019-10-13 20:52:16] Current fund for Stars is under 0 $.
[2019-10-13 20:51:42] Auto Lines Function has been run for Stars.
[2019-10-13 20:51:33] Current fund for Stars is under 0 $.
[2019-10-13 20:51:32] Successfully loaded Stars lines done with STHS Client - 3.1.5.5
[2019-10-13 20:51:16] Current fund for Stars is under 0 $.
[2019-10-13 20:51:05] Auto Lines Function has been run for Stars.
[2019-10-12 20:22:40] Cal Clutterbuck from Stars has scored a Hat Trick!
[2019-10-11 20:37:52] Current fund for Stars is under 0 $.
[2019-10-10 20:42:37] Current fund for Stars is under 0 $.
[2019-10-08 20:55:58] Current fund for Stars is under 0 $.
[2019-10-08 20:54:45] Johan Larsson from Stars has scored a Hat Trick!
[2019-10-08 20:54:37] Auto Lines Function has been run for Stars.
[2019-10-08 20:53:56] Current fund for Stars is under 0 $.
[2019-10-08 20:53:55] Successfully loaded Stars lines done with STHS Client - 3.1.5.5
[2019-10-08 20:53:42] Current fund for Stars is under 0 $.
[2019-10-08 20:53:34] Auto Lines Function has been run for Stars.
[2019-10-08 12:35:41] Current fund for Stars is under 0 $.
[2019-10-07 21:49:06] Current fund for Stars is under 0 $.
[2019-10-07 21:48:39] Game 25 - Igor Ozhiganov from Stars is injured (Head) and is out for 2 weeks.
[2019-10-07 16:35:03] Current fund for Stars is under 0 $.
[2019-10-06 20:44:21] Current fund for Stars is under 0 $.
[2019-10-06 20:37:04] Auto Lines Function has been run for Stars.
[2019-10-06 11:06:11] Current fund for Stars is under 0 $.
[2019-10-04 21:28:54] Current fund for Stars is under 0 $.
[2019-10-04 21:27:29] Current fund for Stars is under 0 $.
[2019-10-04 21:25:06] Current fund for Stars is under 0 $.
[2019-10-04 21:23:23] Current fund for Stars is under 0 $.
[2019-10-04 21:21:32] Auto Lines Function has been run for Stars.
[2019-10-04 21:08:28] Current fund for Stars is under 0 $.
[2019-10-04 21:08:14] Current fund for Stars is under 0 $.
[2019-10-04 21:08:13] Successfully loaded Stars lines done with STHS Client - 3.1.5.5
[2019-10-04 21:08:12] Cal Clutterbuck of Stars was sent down to farm.
[2019-10-04 21:08:06] Current fund for Stars is under 0 $.
[2019-10-04 20:56:17] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:16] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:11] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Stars lines for next game are empty. Current rosters/lines are not erased.



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
3641000011711631100001660330000001156917304700386118960636213206674611928310.71%23578.26%09116156.52%6815543.87%377350.68%132751275610553
Total Saison Régulière641000011711631100001660330000001156917304700386118960636213206674611928310.71%23578.26%09116156.52%6815543.87%377350.68%132751275610553