Stars

GP: 31 | W: 15 | L: 12 | OTL: 4 | P: 34
GF: 74 | GA: 66 | PP%: 13.77% | PK%: 80.31%
DG: Hugo St-Amour | Morale : 48 | Moyenne d'Équipe : 80
Prochain matchs #384 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 ToewsX100.005840807981879578908282828279926955860
2Mark ScheifeleX96.006140808485889582868284808371728355860
3Leon DraisaitlXXX98.006242758082899579838591688567698655850
4Zach PariseX100.006238847671848775547780787485804355830
5Andrew ShawX98.008552597768817677747876726975714755810
6David PerronXX100.006943707974827178567781637879726255810
7Chris KreiderX100.008543728087839276547379627875806955800
8Mike HoffmanXX100.005838848070839576547783528078764655800
9Matt CullenX100.005737896378698463776661856293852555730
10Carter RowneyXX100.009237896582737564746862796378703555720
11Miles WoodX100.008157597079757667506966586769656053720
12John CarlsonX98.006239827887929376309073886277706556810
13Roman JosiX98.006140807879929577308374856376886156800
14Josh MorrisseyX100.007137887374897571308067935967668355780
15Anton StralmanX100.007936906670876065307757905182732955760
16Ben ChiarotX100.008644696587849164307261795275694955750
17Brooks OrpikX100.008951766187806658306957825289793255750
Rayé
1Nathan MacKinnonX94.006439829075889588808786638869788958860
2Adam McQuaidX100.008954696288816362306460825182744220740
MOYENNE D'ÉQUIPE99.05724278747984837255777376687775575379
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 Markstrom97.00899593948887898887898877836355860
2Jaroslav Halak99.00938684699291939291939284882655850
Rayé
MOYENNE D'ÉQUIPE98.0091918982908991908991908186455586
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
1Mark ScheifeleStarsC317172412200494210629666.60%1262120.041910181030003990252.07%4111212000.7716000021
2Nathan MacKinnonStarsC28715220200485613743845.11%1668324.41156251151013921051.51%9943111210.6425000133
3Leon DraisaitlStarsC/LW/RW3191019-4240513512533727.20%1765721.20246211290002442149.09%553412100.5803000211
4Zach PariseStarsLW31611171210029287417368.11%949916.1143712102000031026.67%3085000.6813000111
5Andrew ShawStarsRW3188166260603570163511.43%646615.0634714108000001139.29%28145000.6902000102
6David PerronStarsLW/RW318715-3460482166304912.12%1361619.89617191220001182046.15%391314000.4901000012
7Jonathan ToewsStarsC3187159140263965234312.31%1541713.481011110001532054.69%2451813000.7236000130
8Roman JosiStarsD29114151312043494719182.13%5380527.78156111370001100100.00%02523000.3700000002
9John CarlsonStarsD30210121420033415317183.77%4984728.2602214141011197000.00%01128000.2812000010
10Mike HoffmanStarsLW/RW316612138018237221418.33%138712.4900002000021050.00%12174000.6202000001
11Josh MorrisseyStarsD31156-24025393814142.63%3065621.18011291000081000.00%0825000.1800000000
12Chris KreiderStarsLW31235-110037203317286.06%835011.32000000001510026.47%3484000.2901000002
13Ben ChiarotStarsD31044440231811970.00%1337212.0100004000011000.00%015000.2100000000
14Carter RowneyStarsC/RW3131432027212451412.50%73009.69000010000181051.52%33315000.2700000100
15Miles WoodStarsLW28112-38028102810163.57%31846.5700004000000025.00%1261000.2200000000
16Adam McQuaidStarsD8011340443310.00%2627.860000000004000.00%000000.3200000000
17Anton StralmanStarsD31101-3002835301373.33%3864620.86000088000082000.00%0421000.0300000000
18Brooks OrpikStarsD310110140283312510.00%3037111.9900003000015000.00%0013000.0500000000
19Matt CullenStarsC31101-200714253164.00%52317.4800000000070044.62%13017000.0900000001
20Eric FehrStars (DAL)C1000-120000000.00%01010.2200000000000025.00%400000.0000000000
Stats d'équipe Total ou en Moyenne5587112119270248061256310193275666.97%327919016.4719345313711701121378512450.22%2027214218310.4283100071216
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 MarkstromStars178810.9421.9310252033572268000.750121714531
2Jaroslav HalakStars147430.9312.028600129420172010.765171417411
Stats d'équipe Total ou en Moyenne31151240.9371.9718862162992440010.759293131942


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$472,000$NoLien
Andrew ShawStarsRW261991-07-20No182 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm917,000$917,000$572,519$NoLien
Anton StralmanStarsD311986-08-01No190 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm2,750,000$2,750,000$1,716,931$NoLien
Ben ChiarotStarsD261991-05-09No219 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm3,500,000$3,500,000$2,185,185$NoLien
Brooks OrpikStarsD371980-09-26No217 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm766,000$766,000$478,243$NoLien
Carter RowneyStarsC/RW281989-05-10No206 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm751,000$751,000$468,878$NoLien
Chris KreiderStarsLW261991-04-30No220 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm4,625,000$4,625,000$2,887,566$NoLien
David PerronStarsLW/RW291988-05-28No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm4,000,000$4,000,000$2,497,354$NoLien
Jacob MarkstromStarsG271990-01-31No206 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm4,300,555$4,300,555$2,685,003$NoLien
Jaroslav HalakStarsG321985-05-13No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm750,000$750,000$468,254$NoLien
John CarlsonStarsD271990-01-10No218 Lbs6 ft3NoNoNo7Avec RestrictionPro & Farm8,000,000$8,000,000$4,994,709$NoLien
Jonathan ToewsStarsC291988-04-29No201 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm10,500,000$10,500,000$6,555,556$NoLien
Josh MorrisseyStarsD221995-03-28No195 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm3,150,000$3,150,000$1,966,667$NoLien
Leon DraisaitlStarsC/LW/RW211995-10-27No208 Lbs6 ft2NoNoNo6Contrat d'EntréePro & Farm8,500,000$8,500,000$5,306,878$NoLien
Mark ScheifeleStarsC241993-03-15No207 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm6,125,000$6,125,000$3,824,074$NoLien
Matt CullenStarsC401976-11-02No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm777,000$777,000$485,111$NoLien
Mike HoffmanStarsLW/RW271989-11-24No180 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm5,187,500$5,187,500$3,238,757$NoLien
Miles WoodStarsLW221995-09-13No195 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm2,750,000$2,750,000$1,716,931$NoLien
Nathan MacKinnon (Sur la Masse Salariale)StarsC221995-09-01No205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm6,300,000$6,300,000$3,933,333$NoLien
Roman JosiStarsD271990-06-01No201 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm4,000,000$4,000,000$2,497,354$NoLien
Zach PariseStarsLW331984-07-28No193 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm7,538,462$7,538,462$4,706,553$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 DraisaitlDavid Perron40122
2Zach PariseMark ScheifeleMike Hoffman30122
3Chris KreiderJonathan ToewsAndrew Shaw20122
4Miles WoodMatt CullenCarter Rowney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonRoman Josi40122
2Josh MorrisseyAnton Stralman30122
3Brooks OrpikBen Chiarot20122
4John CarlsonRoman Josi10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Leon DraisaitlDavid Perron60122
2Zach PariseMark ScheifeleAndrew Shaw40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonRoman Josi60122
2Josh MorrisseyAnton Stralman40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mark Scheifele60122
2Jonathan ToewsLeon Draisaitl40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonRoman Josi60122
2Josh MorrisseyAnton Stralman40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Anton StralmanBrooks Orpik60122
2Mark Scheifele40122Josh MorrisseyBen Chiarot40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mark Scheifele60122
2Jonathan ToewsLeon Draisaitl40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1John CarlsonAnton Stralman60122
2Josh MorrisseyRoman Josi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Leon DraisaitlDavid PerronJohn CarlsonJosh Morrissey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Leon DraisaitlDavid PerronJohn CarlsonJosh Morrissey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Miles Wood, Mike Hoffman, Chris KreiderMiles Wood, Mike HoffmanChris Kreider
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brooks Orpik, Ben Chiarot, Josh MorrisseyBrooks OrpikBen Chiarot, Josh Morrissey
Tirs de Pénalité
, Mark Scheifele, Jonathan Toews, Leon Draisaitl, Zach Parise
Gardien
#1 : Jaroslav Halak, #2 : Jacob Markstrom


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
1Avalanche21000001752110000004131000000134-130.75071320001420712918237632622359333.33%11281.82%042082151.16%39278949.68%20640251.24%452643193517
2Blackhawks22000000844110000004311100000041341.000812200014305622191507017144211218.18%7357.14%142082151.16%39278949.68%20640251.24%442639173618
3Blue Jackets1000000123-11000000123-10000000000010.50024600002028761443315630100.00%3166.67%042082151.16%39278949.68%20640251.24%2213239199
4Blues2010001045-11010000013-21000001032120.50044800021261142224473172047600.00%10370.00%042082151.16%39278949.68%20640251.24%422247183517
5Canadiens1010000024-2000000000001010000024-200.00023510110040198130337814500.00%4175.00%042082151.16%39278949.68%20640251.24%2314188178
6Capitals211000002201010000001-11100000021120.500235001100581528150351212471417.14%60100.00%042082151.16%39278949.68%20640251.24%422139203820
7Ducks2020000036-31010000024-21010000012-100.000347002100571920180582720326116.67%10280.00%042082151.16%39278949.68%20640251.24%412443193416
8Flyers11000000211000000000001100000021121.000235001010348121403414818300.00%40100.00%042082151.16%39278949.68%20640251.24%2111219179
9Golden Knights1010000023-11010000023-10000000000000.00023500101037121312028111024400.00%5180.00%042082151.16%39278949.68%20640251.24%2515187168
10Jets211000005411010000012-11100000042220.500581300212059222116084222228900.00%11281.82%042082151.16%39278949.68%20640251.24%382146193416
11Kings3030000047-31010000023-12020000024-200.0004590002208724283501084320589111.11%10280.00%042082151.16%39278949.68%20640251.24%653764255026
12Lightning11000000211000000000001100000021121.0002460001104091615032106224125.00%30100.00%042082151.16%39278949.68%20640251.24%2113209178
13Maple Leafs20000020532100000102111000001032141.00056110002147323262396514203812216.67%10190.00%042082151.16%39278949.68%20640251.24%472744193718
14Oilers22000000716220000007160000000000041.000713200151106927261605914144312216.67%70100.00%042082151.16%39278949.68%20640251.24%462637193518
15Penguins1000010012-11000010012-10000000000010.500123000100402112612671017100.00%6183.33%042082151.16%39278949.68%20640251.24%2415219157
16Predateurs32000001862210000015411100000032150.8338162400053110529452713803718701616.25%9366.67%042082151.16%39278949.68%20640251.24%724258285428
17Senateurs211000006421010000001-11100000063320.50061016001140662417250761982613323.08%50100.00%042082151.16%39278949.68%20640251.24%402244183417
18Sharks1010000045-1000000000001010000045-100.000481200031038614180361512213266.67%6350.00%042082151.16%39278949.68%20640251.24%1911228178
Total31121200133746681657001123332115750002141347340.548741211951116302571019330351329389933272506121381913.77%1272580.31%142082151.16%39278949.68%20640251.24%687396655290548275
_Since Last GM Reset31121200133746681657001123332115750002141347340.548741211951116302571019330351329389933272506121381913.77%1272580.31%142082151.16%39278949.68%20640251.24%687396655290548275
_Vs Conference20890001252466115500001282449340001124222200.500528613801122316364020422620424659229172400851214.12%862175.58%142082151.16%39278949.68%20640251.24%442256422185350175
_Vs Division1162000123224863200001151325300001117116160.72732538500416113352116125105243701199622251611.76%481372.92%142082151.16%39278949.68%20640251.24%24414023510419598

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3134L174121195101999332725061211
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
31121201337466
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
165701123332
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
157500214134
Derniers 10 Matchs
WLOTWOTL SOWSOL
350011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1381913.77%1272580.31%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
330351329381630257
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
42082151.16%39278949.68%20640251.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
687396655290548275


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 - 2019-10-1983Jets2Stars1LSommaire du Match
18 - 2019-10-2190Stars3Avalanche4LXXSommaire du Match
21 - 2019-10-24106Stars3Blues2WXXSommaire du Match
23 - 2019-10-26115Blackhawks3Stars4WSommaire du Match
26 - 2019-10-29131Predateurs2Stars4WSommaire du Match
28 - 2019-10-31146Kings3Stars2LSommaire du Match
30 - 2019-11-02155Stars1Kings2LSommaire du Match
32 - 2019-11-04170Golden Knights3Stars2LSommaire du Match
37 - 2019-11-09193Oilers1Stars5WSommaire du Match
40 - 2019-11-12207Stars4Sharks5LSommaire du Match
43 - 2019-11-15219Oilers0Stars2WSommaire du Match
46 - 2019-11-18232Stars2Lightning1WSommaire du Match
48 - 2019-11-20241Stars2Canadiens4LSommaire du Match
49 - 2019-11-21248Penguins2Stars1LXSommaire du Match
52 - 2019-11-24265Maple Leafs1Stars2WXXSommaire du Match
54 - 2019-11-26275Stars2Capitals1WSommaire du Match
56 - 2019-11-28282Stars3Maple Leafs2WXXSommaire du Match
57 - 2019-11-29292Capitals1Stars0LSommaire du Match
60 - 2019-12-02309Stars1Ducks2LSommaire du Match
62 - 2019-12-04316Blue Jackets3Stars2LXXSommaire du Match
64 - 2019-12-06327Stars6Senateurs3WSommaire du Match
66 - 2019-12-08341Senateurs1Stars0LSommaire du Match
68 - 2019-12-10349Stars1Kings2LSommaire du Match
70 - 2019-12-12357Stars2Flyers1WSommaire du Match
71 - 2019-12-13368Ducks4Stars2LSommaire du Match
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
Assistance92,46976,26531,07962,10415,426
Attendance PCT96.32%95.33%97.12%97.04%96.41%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 17334 - 96.30% 1,661,611$26,585,777$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
33,375,557$ 79,643,517$ 79,643,517$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
79,643,517$ 31,912,945$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
41,540,277$ 118 441,995$ 52,155,410$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
53,441,210$ 79,643,517$ -8,579,130$ -20,480,063$



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!



[2019-12-13 20:56:03] Current fund for Stars is under 0 $.
[2019-12-13 20:55:21] Stars lines for next game are empty. Current rosters/lines are not erased. But, Stars lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-12-13 20:53:40] Auto Lines Function has been run for Stars.
[2019-12-13 20:53:40] Auto Roster Partial Function has been run for Stars.
[2019-12-12 18:18:48] Current fund for Stars is under 0 $.
[2019-12-12 18:18:26] Last 7 Days Pro Star : 1 - Jacob Markstrom of Stars (0,964) / 2 - Mikko Koskinen of Jets (0,965) / 3 - Derek Stepan of Penguins (4-3-7)
[2019-12-12 18:18:25] Nathan MacKinnon from Stars is injured from Exhaustion.
[2019-12-12 18:18:14] Auto Lines Function has been run for Stars.
[2019-12-12 18:18:14] Auto Roster Partial Function has been run for Stars.
[2019-12-11 19:33:15] Current fund for Stars is under 0 $.
[2019-12-11 19:32:51] Nathan MacKinnon from Stars is back from Exhaustion.
[2019-12-11 19:32:51] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-12-10 12:35:30] Nathan MacKinnon from Stars is injured from Exhaustion.
[2019-12-10 12:34:59] Auto Lines Function has been run for Stars.
[2019-12-10 12:34:59] Auto Roster Partial Function has been run for Stars.
[2019-12-09 21:39:47] Current fund for Stars is under 0 $.
[2019-12-09 21:39:25] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-12-09 00:20:09] Current fund for Stars is under 0 $.
[2019-12-09 00:19:46] Nathan MacKinnon from Stars is back from Exhaustion.
[2019-12-09 00:19:46] Alexander Petrovic from Stars is back from Broken Left Thumb Injury.
[2019-12-09 00:19:40] Auto Lines Function has been run for Stars.
[2019-12-09 00:19:40] Auto Roster Partial Function has been run for Stars.
[2019-12-06 22:54:05] Current fund for Stars is under 0 $.
[2019-12-06 22:53:42] Stars lines for next game are empty. Current rosters/lines are not erased. But, Stars lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-12-06 22:53:42] Antoine Roussel from Stars has scored a Hat Trick!
[2019-12-06 22:53:41] Nathan MacKinnon from Stars is injured from Exhaustion.
[2019-12-06 22:52:50] Current fund for Stars is under 0 $.
[2019-12-06 22:52:50] Successfully loaded Stars lines done with STHS Client - 3.1.5.5
[2019-12-06 22:52:43] Current fund for Stars is under 0 $.
[2019-12-06 22:52:29] Auto Lines Function has been run for Stars.
[2019-12-06 22:52:29] Auto Roster Partial Function has been run for Stars.
[2019-12-05 11:57:51] Current fund for Stars is under 0 $.
[2019-12-05 11:57:29] Nathan MacKinnon from Stars is back from Exhaustion.
[2019-12-05 11:57:29] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-12-05 11:57:29] Frederick Gaudreau from Stars has scored a Hat Trick!
[2019-12-04 13:04:06] Current fund for Stars is under 0 $.
[2019-12-04 13:03:39] Nathan MacKinnon from Stars is injured from Exhaustion.
[2019-12-04 13:03:11] Current fund for Stars is under 0 $.
[2019-12-04 13:03:10] Successfully loaded Stars lines done with STHS Client - 3.1.5.5
[2019-12-04 13:03:05] Current fund for Stars is under 0 $.
[2019-12-04 13:02:24] Auto Lines Function has been run for Stars.
[2019-12-04 13:02:24] Auto Roster Partial Function has been run for Stars.
[2019-12-03 20:35:49] Current fund for Stars is under 0 $.
[2019-12-03 20:35:27] Nathan MacKinnon from Stars is back from Exhaustion.
[2019-12-02 11:46:44] Current fund for Stars is under 0 $.
[2019-12-02 11:46:25] Stars lines for next game are empty. Current rosters/lines are not erased.
[2019-12-02 11:46:24] Nathan MacKinnon from Stars is injured from Exhaustion.
[2019-12-02 11:44:21] Auto Lines Function has been run for Stars.
[2019-12-02 11:44:21] Auto Roster Partial Function has been run for Stars.
[2019-12-01 18:48:10] Current fund for Stars is under 0 $.



Nathan MacKinnon est dehors pour 1 jours à cause de Exhaustion.



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
33112120013374668165700112333211575000214134734741211951116302571019330351329389933272506121381913.77%1272580.31%142082151.16%39278949.68%20640251.24%687396655290548275
Total Saison Régulière3112120013374668165700112333211575000214134734741211951116302571019330351329389933272506121381913.77%1272580.31%142082151.16%39278949.68%20640251.24%687396655290548275