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Connexion

Stars
GP: 80 | W: 40 | L: 31 | OTL: 9 | P: 89
GF: 272 | GA: 277 | PP%: 17.36% | PK%: 79.19%
DG: Francois Cloutier | Morale : 37 | Moyenne d’équipe : 76
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Centre de jeu
Blue Jackets
33-43-4, 70pts
4
FINAL
5 Stars
40-31-9, 89pts
Team Stats
L3StreakL1
17-20-3Home Record23-15-2
16-23-1Away Record17-16-7
4-6-0Last 10 Games8-2-0
3.08Buts par match 3.40
3.25Buts contre par match 3.46
20.97%Pourcentage en avantage numérique17.36%
83.20%Pourcentage en désavantage numérique79.19%
Canucks
36-39-5, 77pts
4
FINAL
2 Stars
40-31-9, 89pts
Team Stats
W1StreakL1
19-17-4Home Record23-15-2
17-22-1Away Record17-16-7
4-4-2Last 10 Games8-2-0
3.16Buts par match 3.40
3.35Buts contre par match 3.46
22.53%Pourcentage en avantage numérique17.36%
81.98%Pourcentage en désavantage numérique79.19%
Meneurs d'équipe
Buts
John Tavares
64
Passes
John Tavares
63
Points
John Tavares
127
Plus/Moins
Paul Ladue
22
Victoires
Matt Murray
34
Pourcentage d’arrêts
Matt Murray
0.893

Statistiques d’équipe
Buts pour
272
3.40 GFG
Tirs pour
2488
31.10 Avg
Pourcentage en avantage numérique
17.4%
54 GF
Début de zone offensive
37.8%
Buts contre
277
3.46 GAA
Tirs contre
2479
30.99 Avg
Pourcentage en désavantage numérique
79.2%%
67 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralFrancois Cloutier
EntraîneurBarry Trotz
DivisionO'Brian
ConférenceClarence Campbell
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomAmerican Airlines Center
Capacité18,000
Assistance17,255
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure33
Limite contact 54 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé59,243,693$
Plafond salarial disponible23,849,513$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour56,028,150$
Dépenses annuelles à ce jour60,873,575$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,093,206$
Compte bancaire projeté20,093,206$


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 SPÂgeContratSalaire
1John TavaresX100.0080408087828783947787837393858837578322727,500,000$
2Michael GrabnerX100.0078508177738179828077887377817024577913045,000,000$
3Guillaume LatendresseX100.0080557875858182767176837787887723537813035,000,000$
4Robert NilssonX100.0080407277777880817681817876908919317813215,500,000$
5Alex ChiassonX100.0072288578818282787878826977756734477612713,000,000$
6Andrew LaddX100.0077447477757173767275798174837616457603222,750,000$
7Cam AtkinsonX100.0074277880747876797778757177726629447502822,500,000$
8Evgeny GrachevX100.0077398480836882807382806971614932587502732,250,000$
9Tobias RiederX100.0074458275767680807779806973655249577502422,000,000$
10Evgeny KuznetsovX100.0071368478767878747169856875645441577402511,750,000$
11Jonathan DrouinX100.0075278776737879788589805569584854577402221,750,000$
12Scott KosmachuckX100.007634797776697874648176706657523954720232950,000$
13Boris ValabikX100.0076527479827963806081698265836520267713122,750,000$
14Brian LeeX100.0075347380778479786784788066885622577713034,000,000$
15Andrej SustrX100.0077407678747965765277718158736330307502732,000,000$
16Paul LadueX100.0072388378738077716578708471655341337502511,750,000$
17Tyler Wotherspoon (R)X100.0075268376777776765578668069724842577502422,000,000$
18Tyson BarrieX100.0071278677798278715980807566625236577502612,250,000$
Rayé
1Tyler BrennerX100.006938737673737771656780777471572419720291900,000$
Équipe Mineure
1Ilya Mikheyev (R)X100.007749817071787675777469637259544348710232950,000$
2Jordan LaValleeX100.006938786568737369658177626877721639710311900,000$
3Adam Tambellini (R)X100.006529787184787367717784526758483846700232600,000$
4Daniel O'regan (R)X100.006828807168797671748173596259483946700232900,000$
5Henrik Borgstrom (R)X100.007240777276717470747571646748426946690201500,000$
6Joakim Nygard (R)X100.005940817374656278737263638451544446680242900,000$
7Jason Dickinson (R)X100.006933767067677373746972577547465346670222500,000$
8Michael MerschX100.006935767472656572676177567258573517670251800,000$
9Alex Belzile (R)X100.006843837468707267646872566753514144670261750,000$
10Emile Poirier (R)X100.005633827277666763636681537247453834660231550,000$
11Shane Gersich (R)X100.006337806958687477787867425343435717650213700,000$
12Roman HorakX100.006239756959696769737065515249522446640261300,000$
13Matt Luff (R)X100.006635736573616160627183466845455846640201500,000$
14Justin Auger (R)X100.005829755867726760617476436947463946630231500,000$
15Radel Fazleev (R)X100.005134736756696664747669465243434317620212550,000$
16Jonathan Dahlen (R)X100.005424677046534972646066546643425317600201500,000$
17Filip Chytil (R)X100.006042746166645966566460496040408017590182500,000$
18Anton Cederholm (R)X100.007126846978747264527967825464464629720222750,000$
19Wiley Sherman (R)X100.006736877668827771677968746863465731720221950,000$
20Eric KnodelX100.007634727069806768467058705767592636690271900,000$
21Reece Willcox (R)X100.006629777668667567527160736556494241680232800,000$
22Tucker Poolman (R)X100.007233727470646368627154676052513946670242600,000$
23Ville Pokka (R)X100.006637766962656567416864665646474150650233600,000$
24Connor Mackey (R)X100.006346756168656766426157646045474826630212500,000$
25Lawrence Pilut (R)X100.006336695561596666446858575547445017600223500,000$
26Joey Anderson (R)X100.005942676564546255625663585641416917580191500,000$
27Givani Smith (R)X100.006846595967507960506359524941416719580191500,000$
28Rudolfs Balcers (R)X100.005936695751635553615767506042425420570203250,000$
29Jean-Christophe Beaudin (R)X100.005024635647536165617060405242426120560203250,000$
30Yakov Trenin (R)X100.006434645864605364525655405842424620550204250,000$
MOYENNE D’ÉQUIPE100.00693677717071717165737164675953413869
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 SPÂgeContratSalaire
1Matt Murray100.008376848484838077847975615746578012344,750,000$
2Jhonas Enroth100.007681777669777678797667676524577502922,000,000$
Rayé
Équipe Mineure
1Michael Houser (R)100.00688252756672688182686255534946700253995,000$
2Danil Tarasov (R)100.00684565777348455766447940408411580182500,000$
3Connor Knapp90.74725668777572666376697261552523700271950,000$
MOYENNE D’ÉQUIPE98.1573686978737067717767715754463971
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz69837586838056CAN5111,150,000$


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’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
1John TavaresStarsC806463127105201251883679019817.44%47189823.7320193962290101102759349.28%27847638231.343700013116
2Michael GrabnerStarsRW803854928360120963098217412.30%42169521.191420345828800041114250.00%1345825101.0927000657
3Robert NilssonStarsC76223860-19001191402026510910.89%49145819.1979162716300051953149.02%16263023000.8206000163
4Guillaume LatendresseStarsLW8017395611855129109194571268.76%33178722.341121327283000132031142.95%1563630000.6326000243
5Brian LeeStarsD8084553-1590013913012966586.20%113224128.02268263060004270200.00%05666000.4700000113
6Alex ChiassonStarsRW7725255038091801756110114.29%27127216.53369242080113711354.39%573414000.7911000634
7Evgeny GrachevStarsC792028483160131952006310310.00%24121215.34358181720002634244.68%9314817000.7900000234
8Andrew LaddStarsLW79122739-25401231031165010410.34%28134216.994481821301141401158.73%632132000.5811000020
9Cam AtkinsonStarsRW781119302260814915938886.92%1789611.50011321000093054.76%422315100.6711000211
10Tobias RiederStarsLW80111526-1140647613034968.46%2892211.5300007000051062.50%242418000.5600000111
11Jonathan DrouinStarsLW80131225-11005637100167213.00%86357.95000090000362031.25%16267000.7900000022
12Boris ValabikStarsD6851823-146951081379029305.56%88185927.34033162700001229110.00%02965000.2500100101
13Paul LadueStarsD68419232238049925028228.00%52127018.69257101320001170010.00%01441000.3601000100
14Andrej SustrStarsD694151917695901067132305.63%65141120.46224101700005153000.00%01946000.2700000010
15Scott KosmachuckStarsRW7991019-5280562770184712.86%135937.5100008000002138.46%13126000.6400000002
16Tyler WotherspoonStarsD80213151430050715220143.85%69121615.210002720001101100.00%01625000.2500000000
17Tyson BarrieStarsD800151556058766123330.00%68123115.40022176011191000.00%01730000.2400000110
18Evgeny KuznetsovStarsC807714-560456066164510.61%126918.6500000000020044.97%318128000.4011000010
19Anton CederholmLittle Stars (Dal)D32167-520936181045.56%2444814.0310114000020100.00%0212000.3100000000
20Ilya MikheyevLittle Stars (Dal)RW5011200446220.00%0397.880000100000000.00%000000.5100000000
21Jordan LaValleeLittle Stars (Dal)LW1000100001100.00%077.700000000000000.00%000000.00%00000000
22Tyler BrennerStarsC2000000021100.00%0105.4200000000000016.67%600000.00%00000000
23Wiley ShermanLittle Stars (Dal)D5000-320355100.00%45511.150000000000000.00%011000.00%00000000
Statistiques d’équipe totales ou en moyenne14382734697424673115165017192572803145610.61%8112420116.8359941533032703134542153361648.28%6170554519430.611131100374237
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
1Matt MurrayStars71342270.8933.243889202101969870320.429216812364
2Jhonas EnrothStars226920.8803.849544061508246101.00021268000
Statistiques d’équipe totales ou en moyenne93403190.8913.364844602712477111642238080364


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 Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex ChiassonStarsRW271990-01-01No205 Lbs6 ft4NoNoNo1Pro Only3,000,000$3,000,000$0$No
Andrej SustrStarsD271990-01-01No225 Lbs6 ft8NoNoNo3Pro Only2,000,000$2,000,000$0$No2,200,000$2,400,000$
Andrew LaddStarsLW321985-01-01No200 Lbs6 ft2NoNoNo2Pro Only2,750,000$2,750,000$0$No2,500,000$
Boris ValabikStarsD311986-01-01No245 Lbs6 ft7NoNoNo2Pro Only2,750,000$2,750,000$0$No2,750,000$
Brian LeeStarsD301987-01-01No206 Lbs6 ft3NoNoNo3Pro Only4,000,000$4,000,000$0$No3,500,000$3,000,000$
Cam AtkinsonStarsRW281989-01-01No172 Lbs5 ft7NoNoNo2Pro Only2,500,000$2,500,000$0$No3,000,000$
Evgeny GrachevStarsC271990-01-01No225 Lbs6 ft4NoNoNo3Pro Only2,250,000$2,250,000$0$No2,500,000$2,750,000$
Evgeny KuznetsovStarsC251992-01-01No172 Lbs6 ft0NoNoNo1Pro Only1,750,000$1,750,000$0$No
Guillaume LatendresseStarsLW301987-01-01No230 Lbs6 ft2NoNoNo3Pro Only5,000,000$5,000,000$0$No4,000,000$3,000,000$
Jhonas EnrothStarsG291988-01-01No166 Lbs5 ft10NoNoNo2Pro Only2,000,000$2,000,000$0$No2,000,000$
John TavaresStarsC271990-01-01No205 Lbs6 ft1NoNoNo2Pro Only7,500,000$7,500,000$0$No8,000,000$
Jonathan DrouinStarsLW221995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm1,750,000$1,750,000$0$No2,500,000$Lien
Matt MurrayStarsG231994-01-01No169 Lbs6 ft4NoNoNo4Pro Only4,750,000$4,750,000$0$No5,000,000$5,250,000$5,750,000$Lien
Michael GrabnerStarsRW301987-01-01No170 Lbs6 ft0NoNoNo4Pro Only5,000,000$5,000,000$0$No5,000,000$4,500,000$4,000,000$
Paul LadueStarsD251992-01-01No180 Lbs6 ft0NoNoNo1Pro Only1,750,000$1,750,000$0$NoLien
Robert NilssonStarsC321985-01-01No185 Lbs5 ft11NoNoNo1Pro Only5,500,000$5,500,000$0$No
Scott KosmachuckStarsRW231994-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$No1,250,000$Lien
Tobias RiederStarsLW241993-01-01No185 Lbs5 ft11NoNoNo2Pro Only2,000,000$2,000,000$0$No2,600,000$
Tyler BrennerStarsC291988-01-01No190 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$No
Tyler WotherspoonStarsD241993-01-01Yes210 Lbs6 ft2NoNoNo2Pro Only2,000,000$2,000,000$0$No2,250,000$
Tyson BarrieStarsD261991-01-01No190 Lbs5 ft10NoNoNo1Pro Only2,250,000$2,250,000$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.19195 Lbs6 ft12.102,969,048$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
62,350,000$49,050,000$20,900,000$9,750,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Guillaume LatendresseJohn TavaresMichael Grabner40122
2Andrew LaddRobert NilssonAlex Chiasson30122
3Tobias RiederEvgeny GrachevCam Atkinson20122
4Jonathan DrouinEvgeny KuznetsovScott Kosmachuck10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Boris ValabikBrian Lee40122
2Andrej SustrPaul Ladue30122
3Tyler WotherspoonTyson Barrie20122
4Boris ValabikBrian Lee10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Guillaume LatendresseJohn TavaresMichael Grabner60023
2Andrew LaddRobert NilssonAlex Chiasson40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Boris ValabikBrian Lee60122
2Andrej SustrPaul Ladue40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John TavaresGuillaume Latendresse60122
2Robert NilssonAndrew Ladd40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Boris ValabikBrian Lee60032
2Andrej SustrPaul Ladue40032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Tavares60122Boris ValabikBrian Lee60032
2Robert Nilsson40122Andrej SustrPaul Ladue40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John TavaresGuillaume Latendresse60023
2Robert NilssonAndrew Ladd40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Boris ValabikBrian Lee60122
2Andrej SustrPaul Ladue40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Guillaume LatendresseJohn TavaresMichael GrabnerBoris ValabikBrian Lee
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Guillaume LatendresseJohn TavaresMichael GrabnerBoris ValabikBrian Lee
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Chiasson, Andrew Ladd, Cam AtkinsonAlex Chiasson, Andrew LaddAlex Chiasson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Ladue, Tyler Wotherspoon, Tyson BarriePaul LaduePaul Ladue, Tyler Wotherspoon
Tirs de pénalité
John Tavares, Michael Grabner, Guillaume Latendresse, Robert Nilsson, Alex Chiasson
Gardien
#1 : Matt Murray, #2 : Jhonas Enroth


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
TotalDomicileVisiteur
# 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
1Avalanche312000001013-31010000035-22110000078-120.3331018280023507624272509329286113430.77%14471.43%0928191448.48%933190449.00%587123947.38%613365285225
2Blackhawks220000001183110000004221100000076141.0001120310043406834142005916123912216.67%6266.67%0928191448.48%933190449.00%587123947.38%442641173417
3Blue Jackets33000000141132200000010821100000043161.00014243800446010428423409619245516425.00%12283.33%0928191448.48%933190449.00%587123947.38%653762265226
4Blues62100102232213110000113121310001011010070.5832337600031010020551846412182525813633927.27%29872.41%0928191448.48%933190449.00%587123947.38%128701326011155
5Bruins642000002015532100000108232100000107380.6672030500047901804461750193645611526934.62%28678.57%0928191448.48%933190449.00%587123947.38%12268137549948
6Canadiens2110000067-1110000004311010000024-220.50061016101320551025200531318487114.29%9277.78%0928191448.48%933190449.00%587123947.38%382045203616
7Canucks633000001919031200000510-532100000149560.5001934530031150159416850018073561262129.52%28775.00%0928191448.48%933190449.00%587123947.38%121661315610653
8Capitals3100100112111210010009721000000134-150.833122133001461984023335983214651000.00%7185.71%0928191448.48%933190449.00%587123947.38%623368295829
9Devils30300000310-72020000025-31010000015-400.00036910120092333128082393263700.00%15380.00%0928191448.48%933190449.00%587123947.38%663861265125
10Flames2010010069-31000010045-11010000024-210.25061016000330511222170702912537114.29%6183.33%0928191448.48%933190449.00%587123947.38%422342183718
11Flyers321000001011-1110000004222110000069-340.6671019290025309726422901132240588337.50%20480.00%0928191448.48%933190449.00%587123947.38%603468265024
12Golden Knights3120000010100110000005232020000058-320.3331016260013608130232809830165216425.00%80100.00%0928191448.48%933190449.00%587123947.38%633565275125
13Islanders4220000012111110000004223120000089-140.500121830004440140485735010230187519210.53%9366.67%0928191448.48%933190449.00%587123947.38%864982357137
14Jets512010011216-42010100069-33110000167-150.5001218300052421523663524154384710225312.00%18572.22%0928191448.48%933190449.00%587123947.38%10658108468945
15Kings22000000523110000002111100000031241.000591400113059221720058262242500.00%11190.91%0928191448.48%933190449.00%587123947.38%442542183216
16Lightning30200100812-42020000058-31000010034-110.167814220033201042744330872616571119.09%9277.78%0928191448.48%933190449.00%587123947.38%684059275327
17Maple Leafs22000000963110000004221100000054141.0009142300036070241729068181833200.00%9277.78%0928191448.48%933190449.00%587123947.38%412446173114
18Oilers21000100853110000005141000010034-130.7508132100242057132222055201844300.00%90100.00%1928191448.48%933190449.00%587123947.38%422344193616
19Panthers310001101183210000109541000010023-150.83311172800136298263041492242664900.00%13192.31%0928191448.48%933190449.00%587123947.38%653665305527
20Penguins31200000811-31010000025-32110000066020.33381321003320922544230923120531500.00%10550.00%0928191448.48%933190449.00%587123947.38%673960265127
21Predators2110000089-11010000025-31100000064220.50081523004220582224120593414437114.29%70100.00%0928191448.48%933190449.00%587123947.38%432643173316
22Rangers3120000012111211000008531010000046-220.3331220320052501054230330903618607114.29%9277.78%1928191448.48%933190449.00%587123947.38%633664265227
23Red Wings2010001067-1100000104311010000024-220.5006814002216672718191067158351119.09%4175.00%0928191448.48%933190449.00%587123947.38%472844173317
24Senateurs4210001017170311000101115-41100000062460.75017264300448212536365141323460889222.22%21385.71%0928191448.48%933190449.00%587123947.38%834590397133
25Sharks312000001216-41010000035-221100000911-220.33312203200354095323627010636225612433.33%11281.82%0928191448.48%933190449.00%587123947.38%633867264923
Total80353102534272277-540181502131138135340171600403134142-8890.55627245072220639610813248875390082039247978667316233115417.36%3226779.19%2928191448.48%933190449.00%587123947.38%170296317457401404698
_Since Last GM Reset80353102534272277-540181502131138135340171600403134142-8890.55627245072220639610813248875390082039247978667316233115417.36%3226779.19%2928191448.48%933190449.00%587123947.38%170296317457401404698
_Vs Conference46172101313148153-523911010117574123810003027379-6440.47814824439210315560314304315224682113894663589271873217.11%1794276.54%1928191448.48%933190449.00%587123947.38%978550996428815411
_Vs Division18960010262566944000012830-29520010134268210.5836210116300102824054413621318912555189170377802025.00%852175.29%0928191448.48%933190449.00%587123947.38%373206401171317158

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089L127245072224882479786673162320
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8035312534272277
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018152131138135
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017160403134142
Derniers 10 matchs
WLOTWOTL SOWSOL
720010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3115417.36%3226779.19%2
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
75390082039639610813
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
928191448.48%933190449.00%587123947.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170296317457401404698


Derniers matchs 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 - 2022-10-276Canucks4Stars0BLSommaire du match
5 - 2022-10-3127Senateurs8Stars2BLSommaire du match
9 - 2022-11-0448Stars7Canucks3AWSommaire du match
11 - 2022-11-0656Blues3Stars6BWR1Sommaire du match
13 - 2022-11-0867Stars3Jets2AWSommaire du match
16 - 2022-11-1181Stars4Bruins1AWR1Sommaire du match
18 - 2022-11-1390Bruins4Stars3BLSommaire du match
21 - 2022-11-16106Stars5Sharks4AWSommaire du match
22 - 2022-11-17116Devils2Stars1BLSommaire du match
26 - 2022-11-21136Capitals2Stars3BWSommaire du match
27 - 2022-11-22140Stars1Islanders2ALSommaire du match
29 - 2022-11-24151Stars2Blues3ALXXR1Sommaire du match
32 - 2022-11-27167Blues6Stars5BLXXSommaire du match
34 - 2022-11-29182Stars4Penguins2AWSommaire du match
36 - 2022-12-01190Stars1Bruins3ALR1Sommaire du match
37 - 2022-12-02199Rangers1Stars5BWSommaire du match
40 - 2022-12-05211Stars5Maple Leafs4AWSommaire du match
43 - 2022-12-08223Stars3Kings1AWSommaire du match
44 - 2022-12-09230Red Wings3Stars4BWXXSommaire du match
47 - 2022-12-12245Stars1Devils5ALSommaire du match
49 - 2022-12-14253Blues3Stars2BLR1Sommaire du match
52 - 2022-12-17269Stars4Blue Jackets3AWSommaire du match
55 - 2022-12-20281Senateurs1Stars2BWSommaire du match
57 - 2022-12-22294Stars4Rangers6ALSommaire du match
59 - 2022-12-24305Golden Knights2Stars5BWSommaire du match
62 - 2022-12-27323Stars5Bruins3AWR1Sommaire du match
64 - 2022-12-29332Oilers1Stars5BWSommaire du match
66 - 2022-12-31343Stars2Avalanche4ALSommaire du match
68 - 2023-01-02356Stars2Flames4ALSommaire du match
69 - 2023-01-03361Lightning6Stars4BLSommaire du match
72 - 2023-01-06379Stars6Predators4AWSommaire du match
74 - 2023-01-08386Blue Jackets4Stars5BWSommaire du match
77 - 2023-01-11403Stars2Golden Knights4ALSommaire du match
78 - 2023-01-12412Jets6Stars2BLSommaire du match
82 - 2023-01-16430Stars2Jets3ALXXSommaire du match
83 - 2023-01-17438Lightning2Stars1BLSommaire du match
88 - 2023-01-22460Penguins5Stars2BLSommaire du match
91 - 2023-01-25472Stars3Lightning4ALXSommaire du match
93 - 2023-01-27485Islanders2Stars4BWSommaire du match
95 - 2023-01-29498Stars2Penguins4ALSommaire du match
98 - 2023-02-01513Stars2Canadiens4ALSommaire du match
99 - 2023-02-02518Capitals5Stars6BWXSommaire du match
102 - 2023-02-05536Stars6Senateurs2AWSommaire du match
103 - 2023-02-06544Devils3Stars1BLSommaire du match
107 - 2023-02-10560Stars3Oilers4ALXSommaire du match
108 - 2023-02-11569Blackhawks2Stars4BWSommaire du match
111 - 2023-02-14583Stars4Flyers1AWSommaire du match
113 - 2023-02-16593Maple Leafs2Stars4BWSommaire du match
117 - 2023-02-20612Stars7Blackhawks6AWSommaire du match
118 - 2023-02-21620Avalanche5Stars3BLSommaire du match
123 - 2023-02-26643Stars2Red Wings4ALSommaire du match
124 - 2023-02-27647Panthers3Stars6BWSommaire du match
127 - 2023-03-02668Flames5Stars4BLXSommaire du match
128 - 2023-03-03675Stars3Canucks1AWSommaire du match
130 - 2023-03-05684Stars3Golden Knights4ALSommaire du match
132 - 2023-03-07696Bruins2Stars3BWR1Sommaire du match
135 - 2023-03-10712Stars4Sharks7ALSommaire du match
136 - 2023-03-11723Panthers2Stars3BWXXSommaire du match
139 - 2023-03-14735Stars1Jets2ALSommaire du match
141 - 2023-03-16748Canucks2Stars3BWSommaire du match
143 - 2023-03-18764Stars3Capitals4ALXXSommaire du match
145 - 2023-03-20775Stars2Islanders4ALSommaire du match
147 - 2023-03-22780Rangers4Stars3BLSommaire du match
149 - 2023-03-24790Stars2Flyers8ALSommaire du match
151 - 2023-03-26804Jets3Stars4BWXSommaire du match
152 - 2023-03-27809Stars2Panthers3ALXSommaire du match
155 - 2023-03-30819Stars4Blues5ALXR1Sommaire du match
157 - 2023-04-01828Stars4Canucks5ALSommaire du match
158 - 2023-04-02835Sharks5Stars3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2023-04-05852Stars5Islanders3AWSommaire du match
162 - 2023-04-06858Bruins2Stars4BWR1Sommaire du match
165 - 2023-04-09876Stars5Avalanche4AWSommaire du match
167 - 2023-04-11884Flyers2Stars4BWSommaire du match
171 - 2023-04-15904Stars4Blues2AWR1Sommaire du match
173 - 2023-04-17910Canadiens3Stars4BWSommaire du match
178 - 2023-04-22936Kings1Stars2BWSommaire du match
183 - 2023-04-27962Senateurs6Stars7BWXXSommaire du match
188 - 2023-05-02988Predators5Stars2BLSommaire du match
193 - 2023-05-071011Blue Jackets4Stars5BWSommaire du match
196 - 2023-05-101030Canucks4Stars2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance230,559191,60776,411153,30538,304
Attendance PCT96.07%95.80%95.51%95.82%95.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 17255 - 95.86% 1,400,704$56,028,150$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
60,873,575$ 62,350,000$ 43,350,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
313,317$ 59,243,693$ 2,127,687$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 319,095$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,093,206$ 20,093,206$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
59,243,693$ 23,849,513$ 83,093,206$ 24,243,693$



Charte de profondeur

Ailier gaucheCentreAilier droit
Guillaume LatendresseAGE:30PO:23OV:78
Andrew LaddAGE:32PO:16OV:76
Tobias RiederAGE:24PO:49OV:75
Jonathan DrouinAGE:22PO:54OV:74
Jordan LaValleeAGE:31PO:16OV:71
Adam Tambellini (R)AGE:23PO:38OV:70
Joakim Nygard (R)AGE:24PO:44OV:68
Michael MerschAGE:25PO:35OV:67
Emile Poirier (R)AGE:23PO:38OV:66
Shane Gersich (R)AGE:21PO:57OV:65
Jonathan Dahlen (R)AGE:20PO:53OV:60
Rudolfs Balcers (R)AGE:20PO:54OV:57
John TavaresAGE:27PO:37OV:83
Robert NilssonAGE:32PO:19OV:78
Evgeny GrachevAGE:27PO:32OV:75
Evgeny KuznetsovAGE:25PO:41OV:74
Tyler BrennerAGE:29PO:24OV:72
Daniel O'regan (R)AGE:23PO:39OV:70
Henrik Borgstrom (R)AGE:20PO:69OV:69
Jason Dickinson (R)AGE:22PO:53OV:67
Roman HorakAGE:26PO:24OV:64
Radel Fazleev (R)AGE:21PO:43OV:62
Filip Chytil (R)AGE:18PO:80OV:59
Jean-Christophe Beaudin (R)AGE:20PO:61OV:56
Yakov Trenin (R)AGE:20PO:46OV:55
Michael GrabnerAGE:30PO:24OV:79
Alex ChiassonAGE:27PO:34OV:76
Cam AtkinsonAGE:28PO:29OV:75
Scott KosmachuckAGE:23PO:39OV:72
Ilya Mikheyev (R)AGE:23PO:43OV:71
Alex Belzile (R)AGE:26PO:41OV:67
Matt Luff (R)AGE:20PO:58OV:64
Justin Auger (R)AGE:23PO:39OV:63
Joey Anderson (R)AGE:19PO:69OV:58
Givani Smith (R)AGE:19PO:67OV:58

Défense #1Défense #2Gardien
Brian LeeAGE:30PO:22OV:77
Boris ValabikAGE:31PO:20OV:77
Tyler Wotherspoon (R)AGE:24PO:42OV:75
Paul LadueAGE:25PO:41OV:75
Tyson BarrieAGE:26PO:36OV:75
Andrej SustrAGE:27PO:30OV:75
Wiley Sherman (R)AGE:22PO:57OV:72
Anton Cederholm (R)AGE:22PO:46OV:72
Eric KnodelAGE:27PO:26OV:69
Reece Willcox (R)AGE:23PO:42OV:68
Tucker Poolman (R)AGE:24PO:39OV:67
Ville Pokka (R)AGE:23PO:41OV:65
Connor Mackey (R)AGE:21PO:48OV:63
Lawrence Pilut (R)AGE:22PO:50OV:60
Matt MurrayAGE:23PO:46OV:80
Jhonas EnrothAGE:29PO:24OV:75
Michael Houser (R)AGE:25PO:49OV:70
Connor KnappAGE:27PO:25OV:70
Danil Tarasov (R)AGE:18PO:84OV:58

Espoirs

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien

Choix au repêchage

Année R1R2R3R4R5
3
4
5
6
7






Stars Historique de transactions

[2023-04-16 10:23:01 PM] - Cory Emmerton was released.
[2023-04-16 10:23:00 PM] - Stars paid $0 to release Cory Emmerton.
[2023-04-12 8:28:57 PM] - Robert Nilsson was added to Stars.
[2023-04-12 8:28:57 PM] - Stars claimed Robert Nilsson from waivers by Panthers for $0.
[2023-04-12 8:28:52 PM] - Stars show interest in Robert Nilsson from waiver.
[2023-02-21 7:10:53 PM] - TRADE : From Stars to Blues : Frederic Allard (64), Y:4-RND:3-Dal.
[2023-02-21 7:10:53 PM] - TRADE : From Blues to Stars : Wiley Sherman (72).
[2023-02-15 7:31:03 PM] - New Record for Team's Most Penalties Minutes (25) in 1 Game for Stars!
[2022-10-26 8:17:39 PM] - Alex Belzile signed with Stars for $750,000 for 1 year(s).
[2022-10-26 8:17:39 PM] - Alex Belzile was added to Stars.
[2022-10-25 7:07:11 PM] - Dustin Tokarski was released.
[2022-10-25 7:07:11 PM] - Stars paid $0 to release Dustin Tokarski.
[2022-10-25 7:07:03 PM] - Braden Holtby was released.
[2022-10-25 7:07:03 PM] - Stars paid $0 to release Braden Holtby.
[2022-10-24 6:45:23 PM] - Michael Houser signed with Stars for $995,000 for 3 year(s).
[2022-10-24 6:45:23 PM] - Michael Houser was added to Stars.



[2023-06-04 10:08:14 PM] Auto Lines Function has been run for Little Stars.
[2023-06-04 10:08:14 PM] Auto Roster Farm Only Function has been run for Stars.
[2023-06-01 7:16:10 PM] Danil Tarasov from Little Stars is back from Left Hip Injury.
[2023-05-31 8:41:18 PM] There's not enough Goalie players to make a roster for Little Stars.
[2023-05-31 8:39:54 PM] There's not enough Goalie players to make a roster for Little Stars.
[2023-05-31 8:39:27 PM] Farm Game #1009 - Joakim Nygard from Little Stars has scored a Hat Trick!
[2023-05-31 8:39:26 PM] Game 1009 - Danil Tarasov from Little Stars is injured (Left Hip) and is out for 1 week.
[2023-05-24 9:16:29 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2023-05-24 9:12:47 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2023-05-22 10:28:53 PM] Anton Cederholm from Little Stars is back from Back Injury.
[2023-05-22 11:50:00 AM] Auto Lines Function has been run for Little Stars.
[2023-05-22 11:50:00 AM] Auto Roster Farm Only Function has been run for Stars.
[2023-05-16 9:10:41 PM] Farm Game #951 - Jordan LaVallee from Little Stars has scored a Hat Trick!
[2023-05-16 9:10:41 PM] Game 951 - Anton Cederholm from Little Stars is injured (Back) and is out for 1 week.
[2023-05-16 9:10:34 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2023-05-16 9:10:10 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2023-05-16 9:10:10 PM] Wiley Sherman of Stars was sent down to farm.
[2023-05-14 10:12:49 AM] Paul Ladue from Stars is back from Broken Bone (Left Ankle) Injury.
[2023-05-04 7:37:21 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2023-05-04 7:37:20 PM] Wiley Sherman of Stars was sent to pro.
[2023-05-03 7:32:12 PM] Game 904 - Paul Ladue from Stars is injured (Broken Bone (Left Ankle)) and is out for 2 weeks.
[2023-05-02 7:19:53 PM] Farm Game #878 - Daniel O'regan from Little Stars has scored a Hat Trick!
[2023-04-28 7:22:46 AM] Wiley Sherman from Little Stars is back from Chest/Ribs Injury.
[2023-04-26 8:05:19 PM] Anton Cederholm from Little Stars is back from Right Leg Injury.
[2023-04-25 8:00:33 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.
[2023-04-25 7:59:55 PM] Successfully loaded Stars lines done with Web Base Client and SQLite Database.



Connor Knapp est dehors pour 5 jours à cause de Left Eye Injury.



Stars Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Stars Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Stars Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Stars Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Stars Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA