Connexion

Stars
GP: 67 | W: 29 | L: 31 | OTL: 7 | P: 65
GF: 209 | GA: 236 | PP%: 16.79% | PK%: 83.16%
DG: Martin Havlicek | Morale : 50 | Moyenne d’équipe : 65
Prochains matchs #1055 vs Devils
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Centre de jeu
Stars
29-31-7, 65pts
3
FINAL
4 Kings
31-29-5, 67pts
Team Stats
L2SéquenceL1
13-18-1Fiche domicile19-10-3
16-13-6Fiche visiteur12-19-2
2-6-2Derniers 10 matchs6-3-1
3.12Buts par match 2.89
3.52Buts contre par match 3.09
16.79%Pourcentage en avantage numérique20.59%
83.16%Pourcentage en désavantage numérique82.82%
Panthers
41-16-10, 92pts
6
FINAL
1 Stars
29-31-7, 65pts
Team Stats
L1SéquenceL2
22-6-4Fiche domicile13-18-1
19-10-6Fiche visiteur16-13-6
6-3-1Derniers 10 matchs2-6-2
3.60Buts par match 3.12
2.91Buts contre par match 3.52
17.00%Pourcentage en avantage numérique16.79%
80.57%Pourcentage en désavantage numérique83.16%
Devils
36-24-5, 77pts
Jour 129
Stars
29-31-7, 65pts
Statistiques d’équipe
L1SéquenceL2
20-13-1Fiche domicile13-18-1
16-11-4Fiche visiteur16-13-6
4-5-110 derniers matchs2-6-2
2.88Buts par match 3.12
2.42Buts contre par match 3.12
17.32%Pourcentage en avantage numérique16.79%
83.33%Pourcentage en désavantage numérique83.16%
Kings
31-29-5, 67pts
Jour 131
Stars
29-31-7, 65pts
Statistiques d’équipe
L1SéquenceL2
19-10-3Fiche domicile13-18-1
12-19-2Fiche visiteur16-13-6
6-3-110 derniers matchs2-6-2
2.89Buts par match 3.12
3.09Buts contre par match 3.12
20.59%Pourcentage en avantage numérique16.79%
82.82%Pourcentage en désavantage numérique83.16%
Coyotes
33-28-5, 71pts
Jour 134
Stars
29-31-7, 65pts
Statistiques d’équipe
W2SéquenceL2
17-12-3Fiche domicile13-18-1
16-16-2Fiche visiteur16-13-6
8-1-110 derniers matchs2-6-2
3.23Buts par match 3.12
3.03Buts contre par match 3.12
17.93%Pourcentage en avantage numérique16.79%
80.54%Pourcentage en désavantage numérique83.16%
Meneurs d'équipe
Filip ForsbergButs
Filip Forsberg
30
Tyler SeguinPasses
Tyler Seguin
40
Tyler SeguinPoints
Tyler Seguin
69
Tyler SeguinPlus/Moins
Tyler Seguin
18
Laurent BrossoitVictoires
Laurent Brossoit
18
Laurent BrossoitPourcentage d’arrêts
Laurent Brossoit
0.892

Statistiques d’équipe
Buts pour
209
3.12 GFG
Tirs pour
1884
28.12 Avg
Pourcentage en avantage numérique
16.8%
44 GF
Début de zone offensive
39.9%
Buts contre
236
3.52 GAA
Tirs contre
1887
28.16 Avg
Pourcentage en désavantage numérique
83.2%%
49 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralMartin Havlicek
EntraîneurPeter DeBoer
DivisionCentral Division
ConférenceWestern Conference
CapitaineJared Spurgeon
Assistant #1Tyler Seguin
Assistant #2Brenden Dillon


Informations de l’aréna

NomAmerican Airlines Center
Capacité20,000
Assistance18,706
Billets de saison10,000


Informations de la formation

Équipe Pro23
Équipe Mineure24
Limite contact 47 / 80
Espoirs34


Plafond salarial Non Activé

Cap Salarial de la Saison estimé68,410,000$
Plafond salarial disponible5,590,000$
Valeur du plafond salarial spécial625,000$
Joueurs Inclus dans le plafond salarial25


Finance

Revenu annuel à ce jour46,268,820$
Dépenses annuelles à ce jour56,565,000$
Revenus de la saison estimés13,013,106$
Dépenses de la saison estimées13,720,000$
Compte bancaire actuel3,657,830$
Compte bancaire projeté2,796,952$


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
1Tyler Seguin (A)XX100.007238798277819180827473698974700507003136,500,000$
2Filip ForsbergXXX100.007838797877837881507981669270640507002938,000,000$
3Adam LowryX100.008056647785809472816863766572670506803023,800,000$
4Jason ZuckerXX100.008443737871809276526778656674680506803114,200,000$
5Filip ChytilX100.006535777678789075657074686560520506702433,900,000$
6Anthony BeauvillierXX100.007037797769819473526768667964570506602613,000,000$
7Conor GarlandXX100.006639757964799475527367637466590506602713,800,000$
8Sammy BlaisXX99.949150697278738965526460676366580506402711,200,000$
9Oskar LindblomXX100.006938797474709066565857686466580506302711,400,000$
10Keegan KolesarX100.009469647180729063545959675964560506302621,800,000$
11Michael McCarronXX100.008379577089706959815555745768600506202821,200,000$
12Joel KivirantaX100.007742737270738859525259705966580506202711,200,000$
13Jared Spurgeon (C)X100.007137798063889373308069866480840507203314,500,000$
14Brenden Dillon (A)X100.008354566885849457306757785378720506903223,500,000$
15Nikita ZadorovX100.008145546693839457305669765568610506802843,800,000$
16Cody CeciX100.007839796779859357306156805372650506802923,700,000$
17Jan RuttaX99.917439686679808153305859785278710506603322,500,000$
18Braden SchneiderX100.007846806880779456306160755556480506602221,200,000$
Rayé
1Ben HuttonX100.006639756879786957306163695372640506303012,100,000$
Équipe Mineure
1Sam GagnerXX100.006339787173737763545864645880740506203421,000,000$
2Elliot Desnoyers (R)X100.007036856869756062595150676454460505802110100,000$
3Steven FogartyXXX100.006838756979706063545150585972640505803011,200,000$
4Riley Tufte (R)X100.00694573678966605950515058556252050570251700,000$
5Tyler Angle (R)XX100.00663581696472605867515459605849050570238100,000$
6Martin FrkX100.006044706177516059355760586272640505702911,000,000$
7Jiri KulichX100.005435846570415955425157556150410505401910100,000$
8Fabian LysellX100.006037766468405553355252556052430505302010100,000$
9Zach PochiroXX100.00533574537946604430444355487061050510298100,000$
10Riley SutterX100.00564375558146564430444556516050050510237100,000$
11Cole CoskeyX100.00523585537246534630445057486050050510248100,000$
12Gavin BayreutherX100.007243756975787956306558735370620506502921,200,000$
13Nick Perbix (R)X100.007238797175778859306461685862540506402511,200,000$
14Thomas HarleyX100.00603679678079615530575566535646050600222900,000$
15Mason GeertsenXX100.00738151518452554330424458486859050550281600,000$
16Hunter DrewXX100.00737751537555514430434562536252050550247100,000$
17Cliff WatsonX99.00563574517552554130414057477061050530295100,000$
18Robbie StuckerX100.005438725174514741304240554862540505102510100,000$
19C.J. SuessX90.73663875687162605950515058627061050570292800,000$
20Jack BeckerX90.91513583517740544635464655496456050510269100,000$
21Andre LeeXX100.00543580548144464330424656495848050500239100,000$
22Liam KirkXX100.00523573527443454230424255465849050490238100,000$
MOYENNE D’ÉQUIPE99.8977457273777988664965657264696305066
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
1Joey Daccord98.5064686574676662636461626658050590271700,000$
2Matt Murray 2 (R)100.00606360706563626160636362540505702511,000,000$
Rayé
1Laurent Brossoit90.42746461797777737677726972660506503011,600,000$
2Jaroslav Halak95.50746259617073717272717088800506303811,500,000$
Équipe Mineure
1Tomas Vomacka100.0043524976454144454350556051050490245100,000$
2Emmett Croteau100.0033333333333333333333335050050390199100,000$
MOYENNE D’ÉQUIPE95.756864617170706768686766726505061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer70707070707070CAN551100,000$


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
1Tyler SeguinStarsC/RW6729406918120391442094316113.88%17132319.7591019512290003773153.46%161836011.0419000544
2Filip ForsbergStarsC/LW/RW673034641426065752275916713.22%8128519.18491344230000002439.09%11030011.0029000514
3Jared SpurgeonStarsD67113950-212606911512636718.73%80147722.067815762180002128100%023000.6800000211
4Conor GarlandStarsLW/RW67102535-23100335711134919.01%9100014.94481229210000011047.06%6810000.7024000020
5Adam LowryStarsC67152035-22621083167144389910.42%13122018.2202264001122702453.87%157811000.5711110201
6Jason ZuckerStarsLW/RW67171633-1730094641534310811.11%9109316.3251623210000001143.75%6431020.6014000212
7Nikita ZadorovStarsD6782331-7110101734265184512.31%75148622.183710302281012225210%022000.4200002122
8Filip ChytilStarsC5392130-6100276512627847.14%574814.1318930160000001043.88%86610000.8000000021
9Braden SchneiderStarsD67319221575118326416374.69%63134820.12145352140002166100%021000.3300001003
10Anthony BeauvillierStarsC/LW6771421-1422041579427727.45%1391513.670226310002761148.75%8021000.4602000002
11Cody CeciStarsD67516212440102645210229.62%68134520.08000020001198100%013000.3100000311
12Brenden DillonStarsD6751318-189010135617016277.14%101144821.62123342030111217120%021000.2500110002
13Oskar LindblomStarsLW/RW6710616-10180394045123722.22%782712.350000110121390132.61%4610000.3900000111
14Michael McCarronStarsC/RW677714-84125457755162812.73%86679.970000601121350054.56%63620000.4200122111
15Keegan KolesarStarsRW676713-68125743258163110.34%1075011.200000000062601036.36%4401000.3500212011
16Ben HuttonStarsD3601010-91403125105130%2654315.11022011000011000%003000.3700000000
17Sammy BlaisStarsLW/RW54279016025283614275.56%23716.8900000000001038.10%2100000.4800000101
18Jan RuttaStarsD31437826043151621625.00%3147015.19000010000030010%000000.3000000110
19Joel KivirantaStarsLW150221201611104100%11338.9300003000060025.00%811000.3000000000
20Sam GagnerTexas Stars (DAL)C/RW16101000114122128.33%21368.5110138000030036.84%13310000.1500000000
21Riley TufteTexas Stars (DAL)LW4000000201010%0297.3300000000000033.33%30000000000000
Statistiques d’équipe totales ou en moyenne1147179322501-11769785125511851684438115910.63%5481862516.243663993672025235251949191650.71%52752824040.54729557241827
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
1Laurent BrossoitStars3318920.8922.90169702827560300.773222912122
2Joey DaccordStars3681230.8583.971466209768318110.60052542000
3Jaroslav HalakStars2571320.8803.501234217260064000.50062240020
4Matt Murray 2Stars70300.8863.11270001412300000112100
Statistiques d’équipe totales ou en moyenne101333770.8773.41466843265216282413377106242


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam LowryStarsC3007.07.1993No208 Lbs6 ft6NoNoN/ANoNo2Pro Only3,800,000$760,000$3,800,000$760,000$No3,800,000$--------No--------Lien NHL
Anthony BeauvillierStarsC/LW2607.07.1997No180 Lbs5 ft11NoNoN/ANoNo1Pro Only3,000,000$600,000$3,000,000$600,000$No------------------Lien NHL
Ben HuttonStarsD3007.07.1993No201 Lbs6 ft3NoNoN/ANoNo1Pro Only2,100,000$420,000$2,100,000$420,000$No------------------Lien NHL
Braden SchneiderStarsD2207.07.2001No208 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,200,000$240,000$1,200,000$240,000$No1,200,000$--------No--------Lien NHL
Brenden DillonStarsD3207.07.1991No224 Lbs6 ft4NoNoN/ANoNo2Pro Only3,500,000$700,000$3,500,000$700,000$No3,500,000$--------No--------Lien NHL
Cody CeciStarsD2907.07.1994No210 Lbs6 ft2NoNoN/ANoNo2Pro Only3,700,000$740,000$3,700,000$740,000$No3,700,000$--------No--------Lien NHL
Conor GarlandStarsLW/RW2707.07.1996No165 Lbs5 ft10NoNoN/ANoNo1Pro Only3,800,000$760,000$3,800,000$760,000$No------------------Lien NHL
Filip ChytilStarsC2407.07.1999No204 Lbs6 ft2NoNoN/ANoNo3Pro Only3,900,000$780,000$3,900,000$780,000$No3,900,000$3,900,000$-------NoNo-------Lien NHL
Filip ForsbergStarsC/LW/RW2907.07.1994No205 Lbs6 ft1NoNoN/ANoNo3Pro Only8,000,000$1,600,000$8,000,000$1,600,000$No8,000,000$8,000,000$-------NoNo-------Lien NHL
Jan RuttaStarsD3307.07.1990No204 Lbs6 ft3NoNoN/ANoNo2Pro Only2,500,000$500,000$2,500,000$500,000$No2,500,000$--------No--------Lien NHL
Jared SpurgeonStarsD3307.07.1990No166 Lbs5 ft9NoNoN/ANoNo1Pro Only4,500,000$900,000$4,500,000$900,000$No------------------Lien NHL
Jaroslav HalakStarsG3807.07.1985No189 Lbs5 ft11NoNoTrade18.03.2024NoNo1Pro Only1,500,000$300,000$1,500,000$300,000$No------------------Lien NHL
Jason ZuckerStarsLW/RW3107.07.1992No192 Lbs5 ft11NoNoN/ANoNo1Pro Only4,200,000$840,000$4,200,000$840,000$No------------------Lien NHL
Joel KivirantaStarsLW2707.07.1996No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,200,000$240,000$1,200,000$240,000$No------------------Lien NHL
Joey DaccordStarsG2707.07.1996No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$140,000$700,000$140,000$No------------------Lien NHL
Keegan KolesarStarsRW2607.07.1997No217 Lbs6 ft2NoNoN/ANoNo2Pro Only1,800,000$360,000$1,800,000$360,000$No1,800,000$--------No--------Lien NHL
Laurent BrossoitStarsG3007.07.1993No215 Lbs6 ft3NoNoN/ANoNo1Pro Only1,600,000$320,000$1,600,000$320,000$No------------------Lien NHL
Matt Murray 2StarsG2507.07.1998Yes200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$200,000$1,000,000$200,000$No------------------
Michael McCarronStarsC/RW2807.07.1995No232 Lbs6 ft6NoNoN/ANoNo2Pro Only1,200,000$240,000$1,200,000$240,000$No1,200,000$--------No--------Lien NHL
Nikita ZadorovStarsD2807.07.1995No248 Lbs6 ft6NoNoN/ANoNo4Pro Only3,800,000$760,000$3,800,000$760,000$No3,800,000$3,800,000$3,800,000$------NoNoNo------Lien NHL
Oskar LindblomStarsLW/RW2707.07.1996No191 Lbs6 ft1NoNoN/ANoNo1Pro Only1,400,000$280,000$1,400,000$280,000$No------------------Lien NHL
Sammy BlaisStarsLW/RW2707.07.1996No206 Lbs6 ft2NoNoN/ANoNo1Pro Only1,200,000$240,000$1,200,000$240,000$No------------------Lien NHL
Tyler SeguinStarsC/RW3107.07.1992No205 Lbs6 ft1NoNoN/ANoNo3Pro Only6,500,000$1,300,000$6,500,000$1,300,000$No6,500,000$6,500,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.70202 Lbs6 ft21.702,873,913$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
66,100,000$39,900,000$22,200,000$3,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergTyler SeguinConor Garland33122
2Anthony BeauvillierAdam LowryJason Zucker29122
3Joel KivirantaFilip ChytilKeegan Kolesar23122
4Oskar LindblomMichael McCarronSammy Blais15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody CeciJared Spurgeon33122
2Brenden DillonNikita Zadorov33122
3Braden SchneiderJan Rutta30122
4Cody CeciJared Spurgeon4122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergTyler SeguinJason Zucker60122
2Anthony BeauvillierFilip ChytilConor Garland40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Braden SchneiderNikita Zadorov60122
2Jared SpurgeonBrenden Dillon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam LowryKeegan Kolesar60122
2Michael McCarronOskar Lindblom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonNikita Zadorov60122
2Cody CeciBraden Schneider40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Lowry60122Nikita ZadorovBrenden Dillon60122
2Michael McCarron40122Cody CeciBraden Schneider40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony BeauvillierJason Zucker60122
2Adam LowryFilip Forsberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jared SpurgeonCody Ceci60122
2Nikita ZadorovBrenden Dillon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ForsbergTyler SeguinConor GarlandJared SpurgeonCody Ceci
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ForsbergAdam LowryMichael McCarronCody CeciJared Spurgeon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Forsberg, Adam Lowry, Tyler SeguinTyler Seguin, Filip ForsbergAdam Lowry
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Zadorov, Cody Ceci, Braden SchneiderJared SpurgeonJared Spurgeon, Braden Schneider
Tirs de pénalité
Tyler Seguin, Filip Forsberg, Conor Garland, Jason Zucker, Anthony Beauvillier
Gardien
#1 : Joey Daccord, #2 : Matt Murray 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
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
1Avalanche30200001513-82010000159-41010000004-410.1675914001310681225307982632568112.50%16475.00%01080214150.44%1070214549.88%564107552.47%634384223617
2Blackhawks311000101113-22110000058-31000001065140.6671119300025339022323588622265410220.00%12283.33%01080214150.44%1070214549.88%564107552.47%704874233919
3Blue Jackets22000000936110000005231100000041341.0009172600612056311690501644522100.00%20100.00%01080214150.44%1070214549.88%564107552.47%483447112412
4Blues321000009901010000037-42200000062440.667914230142306923222409921385616531.25%18383.33%01080214150.44%1070214549.88%564107552.47%674576243516
5Bruins2020000026-41010000024-21010000002-200.00024600002051221613048141941700.00%7185.71%01080214150.44%1070214549.88%564107552.47%473248142411
6Canadiens2020000059-41010000024-21010000035-200.0005914001220338619072173143200.00%12558.33%01080214150.44%1070214549.88%564107552.47%402755142310
7Canucks2110000056-1110000004311010000013-220.50059140030206623222104217194910330.00%7357.14%01080214150.44%1070214549.88%564107552.47%432951142512
8Capitals2110000045-11010000003-31100000042220.5004812001210642413270371020307228.57%9277.78%01080214150.44%1070214549.88%564107552.47%463350152211
9Coyotes1010000003-31010000003-30000000000000.00000000000018837028131416200.00%7271.43%01080214150.44%1070214549.88%564107552.47%2215247125
10Devils11000000312000000000001100000031221.0003470002103112127016810176116.67%50100.00%01080214150.44%1070214549.88%564107552.47%2316236126
11Ducks310000021112-1110000005412000000268-240.66711182900326288352029118722926118316.67%17288.24%01080214150.44%1070214549.88%564107552.47%684273274723
12Flames32100000981110000006152110000037-440.6679172600513082303022070262268700.00%11190.91%11080214150.44%1070214549.88%564107552.47%735068183719
13Flyers20200000612-61010000026-41010000046-200.00061117001320451317150721928359111.11%13284.62%01080214150.44%1070214549.88%564107552.47%443050142511
14Golden Knights3110001012111211000007701000001054140.667122133004251912523407105372965600.00%12191.67%01080214150.44%1070214549.88%564107552.47%674781203617
15Hurricanes211000007611010000015-41100000061520.50071320003220551814230511120396116.67%50100.00%01080214150.44%1070214549.88%564107552.47%463247142512
16Islanders22000000752110000003211100000043141.000711180023206619222505014164211218.18%8275.00%01080214150.44%1070214549.88%564107552.47%523643142412
17Jets311000018801010000034-12100000154130.50081422002150772820275732322651200.00%9188.89%01080214150.44%1070214549.88%564107552.47%684779233718
18Kings21100000972110000006331010000034-120.50091625002430682028200601221408450.00%70100.00%01080214150.44%1070214549.88%564107552.47%422748162913
19Kraken11000000422110000004220000000000021.0004711002200281016201561114300.00%3166.67%01080214150.44%1070214549.88%564107552.47%2719197136
20Lightning21000100725110000006061000010012-130.75071219015200721835181401225461100.00%90100.00%01080214150.44%1070214549.88%564107552.47%503546162411
21Maple Leafs2020000049-51010000045-11010000004-400.000471100220047131717067142048600.00%90100.00%01080214150.44%1070214549.88%564107552.47%432851142411
22Oilers2010010069-31010000024-21000010045-110.25069151020405120141705921223810330.00%11372.73%01080214150.44%1070214549.88%564107552.47%453151142411
23Panthers20200000410-61010000016-51010000034-100.0004711000220582617150602343467114.29%9277.78%01080214150.44%1070214549.88%564107552.47%412547163014
24Penguins11000000523000000000001100000052321.000510150012202911126027131126300.00%30100.00%01080214150.44%1070214549.88%564107552.47%2316227136
25Predators431000001798220000008262110000097260.750173047006650137494543011722369227311.11%17194.12%11080214150.44%1070214549.88%564107552.47%976894304725
26Rangers20200000813-51010000035-21010000058-300.000814220043105024131306718184313430.77%90100.00%01080214150.44%1070214549.88%564107552.47%412653162411
27Red Wings202000001013-31010000057-21010000056-100.000101828002440521513240702520327228.57%9544.44%01080214150.44%1070214549.88%564107552.47%433052132412
28Sabres1010000038-5000000000001010000038-500.0003690011103061212030121420300.00%7271.43%01080214150.44%1070214549.88%564107552.47%2013277115
29Senators2110000047-31010000015-41100000032120.5004610001210441816100571716308337.50%7185.71%01080214150.44%1070214549.88%564107552.47%483447142312
30Sharks2010000126-41010000014-31000000112-110.25024600011062171826462262148600.00%7185.71%01080214150.44%1070214549.88%564107552.47%462946173215
31Wild310000201394100000104312100001096361.0001316290026331062739379721728761119.09%14285.71%01080214150.44%1070214549.88%564107552.47%825968223820
Total67253100245209236-273212180001198118-2035131300234111118-7650.485209360569126868699188462760863352188755474813812624416.79%2914983.16%21080214150.44%1070214549.88%564107552.47%154910601660505857419
_Since Last GM Reset67253100245209236-273212180001198118-2035131300234111118-7650.485209360569126868699188462760863352188755474813812624416.79%2914983.16%21080214150.44%1070214549.88%564107552.47%154910601660505857419
_Vs Conference38151300145121125-41998000116364-11965001345861-3440.57912120332411383544911013493573805110733114337981542516.23%1682783.93%21080214150.44%1070214549.88%564107552.47%887606943292495243
_Vs Division2087000326364-11035000112836-810520002135287240.6006310216501172320656516918620329573144196415861213.95%931583.87%11080214150.44%1070214549.88%564107552.47%473328502154248123

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6765L220936056918841887554748138112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6725310245209236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321218001198118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3513130234111118
Derniers 10 matchs
WLOTWOTL SOWSOL
260002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2624416.79%2914983.16%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
627608633526868699
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
1080214150.44%1070214549.88%564107552.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
154910601660505857419


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
215Blues7Stars3BLSommaire du match
647Stars5Golden Knights4AWXXSommaire du match
753Stars2Ducks3ALXXR3Sommaire du match
1077Flyers6Stars2BLSommaire du match
1287Stars5Penguins2AWSommaire du match
14110Maple Leafs5Stars4BLSommaire du match
17137Blue Jackets2Stars5BWSommaire du match
19152Stars3Flames2AWSommaire du match
20158Stars4Oilers5ALXSommaire du match
22176Stars1Canucks3ALSommaire du match
24190Stars4Blue Jackets1AWSommaire du match
26208Bruins4Stars2BLSommaire du match
28224Stars4Jets2AWSommaire du match
29231Stars5Wild4AWXXSommaire du match
31246Coyotes3Stars0BLSommaire du match
33263Avalanche5Stars4BLXXSommaire du match
35274Stars5Rangers8ALSommaire du match
37296Golden Knights3Stars5BWSommaire du match
40320Flames1Stars6BWSommaire du match
42335Stars1Jets2ALXXSommaire du match
44353Stars0Flames5ALSommaire du match
46368Lightning0Stars6BWSommaire du match
47375Stars1Lightning2ALXSommaire du match
49393Stars3Panthers4ALSommaire du match
51408Stars4Capitals2AWSommaire du match
53427Red Wings7Stars5BLSommaire du match
54435Golden Knights4Stars2BLSommaire du match
56451Senators5Stars1BLSommaire du match
59476Stars3Blues2AWSommaire du match
60485Canucks3Stars4BWSommaire du match
62501Kraken2Stars4BWSommaire du match
65523Stars4Predators1AWSommaire du match
66533Stars3Blues0AWSommaire du match
68552Blackhawks2Stars3BWSommaire du match
70570Blackhawks6Stars2BLSommaire du match
71575Canadiens4Stars2BLSommaire du match
73591Avalanche4Stars1BLSommaire du match
75609Predators1Stars5BWSommaire du match
77624Stars4Wild2AWSommaire du match
78632Wild3Stars4BWXXSommaire du match
81658Predators1Stars3BWSommaire du match
82664Stars6Blackhawks5AWXXSommaire du match
84681Kings3Stars6BWSommaire du match
86692Stars4Flyers6ALSommaire du match
88707Stars3Devils1AWSommaire du match
89717Stars4Islanders3AWSommaire du match
91736Stars5Red Wings6ALSommaire du match
93753Ducks4Stars5BWR3Sommaire du match
94762Capitals3Stars0BLSommaire du match
96780Stars3Sabres8ALSommaire du match
98795Stars3Canadiens5ALSommaire du match
99800Stars0Maple Leafs4ALSommaire du match
102830Hurricanes5Stars1BLSommaire du match
104845Stars5Predators6ALSommaire du match
105857Oilers4Stars2BLSommaire du match
107867Stars0Bruins2ALSommaire du match
109885Stars6Hurricanes1AWSommaire du match
110894Stars3Senators2AWSommaire du match
112913Rangers5Stars3BLSommaire du match
114930Islanders2Stars3BWSommaire du match
115938Jets4Stars3BLSommaire du match
117955Sharks4Stars1BLSommaire du match
119975Stars0Avalanche4ALSommaire du match
121992Stars1Sharks2ALXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1241015Stars4Ducks5ALXXR3Sommaire du match
1251023Stars3Kings4ALSommaire du match
1271039Panthers6Stars1BLSommaire du match
1291055Devils-Stars-
1311070Kings-Stars-
1341093Coyotes-Stars-
1361108Penguins-Stars-
1391136Stars-Sharks-
1401145Stars-Coyotes-
1421160Stars-Canucks-
1441178Stars-Kraken-
1471199Oilers-Stars-
1481210Stars-Blackhawks-
1501226Stars-Avalanche-
1521239Sabres-Stars-
1541258Jets-Stars-
1551267Kraken-Stars-
1591297Blues-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80004000500020001000
Prix des billets102623930210
Assistance235,262112,160159,73963,67627,764
Attendance PCT91.90%87.63%99.84%99.49%86.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 18706 - 93.53% 1,445,901$46,268,820$20000108

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
56,565,000$ 68,500,000$ 68,500,000$ 0$ 625,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
413,125$ 54,565,000$ 0$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
13,013,106$ 32 428,750$ 13,720,000$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
13,873,984$ 3,657,830$ 2,796,952$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
68,410,000$ 5,590,000$ 74,000,000$ 24,410,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Filip ForsbergAGE:29PO:0OV:70
Jason ZuckerAGE:31PO:0OV:68
Anthony BeauvillierAGE:26PO:0OV:66
Conor GarlandAGE:27PO:0OV:66
Sammy BlaisAGE:27PO:0OV:64
Oskar LindblomAGE:27PO:0OV:63
Joel KivirantaAGE:27PO:0OV:62
Elliot Desnoyers (R)AGE:21PO:0OV:58
Steven FogartyAGE:30PO:0OV:58
Riley Tufte (R)AGE:25PO:0OV:57
Tyler Angle (R)AGE:23PO:0OV:57
Mason GeertsenAGE:28PO:0OV:55
Zach PochiroAGE:29PO:0OV:51
Andre LeeAGE:23PO:0OV:50
Liam KirkAGE:23PO:0OV:49
Tyler SeguinAGE:31PO:0OV:70
Filip ForsbergAGE:29PO:0OV:70
Adam LowryAGE:30PO:0OV:68
Filip ChytilAGE:24PO:0OV:67
Anthony BeauvillierAGE:26PO:0OV:66
Sam GagnerAGE:34PO:0OV:62
Michael McCarronAGE:28PO:0OV:62
Steven FogartyAGE:30PO:0OV:58
Tyler Angle (R)AGE:23PO:0OV:57
C.J. SuessAGE:29PO:0OV:57
Jiri KulichAGE:19PO:0OV:54
Zach PochiroAGE:29PO:0OV:51
Jack BeckerAGE:26PO:0OV:51
Andre LeeAGE:23PO:0OV:50
Liam KirkAGE:23PO:0OV:49
Tyler SeguinAGE:31PO:0OV:70
Filip ForsbergAGE:29PO:0OV:70
Jason ZuckerAGE:31PO:0OV:68
Conor GarlandAGE:27PO:0OV:66
Sammy BlaisAGE:27PO:0OV:64
Oskar LindblomAGE:27PO:0OV:63
Keegan KolesarAGE:26PO:0OV:63
Sam GagnerAGE:34PO:0OV:62
Michael McCarronAGE:28PO:0OV:62
Steven FogartyAGE:30PO:0OV:58
Martin FrkAGE:29PO:0OV:57
Hunter DrewAGE:24PO:0OV:55
Fabian LysellAGE:20PO:0OV:53
Riley SutterAGE:23PO:0OV:51
Cole CoskeyAGE:24PO:0OV:51

Défense #1Défense #2Gardien
Jared SpurgeonAGE:33PO:0OV:72
Brenden DillonAGE:32PO:0OV:69
Nikita ZadorovAGE:28PO:0OV:68
Cody CeciAGE:29PO:0OV:68
Jan RuttaAGE:33PO:0OV:66
Braden SchneiderAGE:22PO:0OV:66
Gavin BayreutherAGE:29PO:0OV:65
Nick Perbix (R)AGE:25PO:0OV:64
Ben HuttonAGE:30PO:0OV:63
Thomas HarleyAGE:22PO:0OV:60
Mason GeertsenAGE:28PO:0OV:55
Hunter DrewAGE:24PO:0OV:55
Cliff WatsonAGE:29PO:0OV:53
Robbie StuckerAGE:25PO:0OV:51
Laurent BrossoitAGE:30PO:0OV:65
Jaroslav HalakAGE:38PO:0OV:63
Joey DaccordAGE:27PO:0OV:59
Matt Murray 2 (R)AGE:25PO:0OV:57
Tomas VomackaAGE:24PO:0OV:49
Emmett CroteauAGE:19PO:0OV:39

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam ZlnkaStars00
Andre GasseauStars00
Antti TuomistoStars00
Calvin ThurkaufStars00
Cam SquiresStars00
Christoffer EhnStars00
Cole BrownStars00
David BernhardtStars00
David EdstromStars00
Dominik BokkStars00
Emmitt FinnieStars00
Eric CiccoliniStars00
Erik Walli-WalterholmStars00
Frederik DichowStars00
Jacob FowlerStars00
Jaromir PytlikStars00
Juho LammikkoStars00
Luke GreenStars00
Mathias FromStars00
Matthew StienburgStars00
Matvei GuskovStars00
Nikita GrebyonkinStars00
Nikita QuappStars00
Noel NordhStars00
Oleg SosunovStars00
Pavel NovakStars00
Reid SchaeferStars00
Santeri VirtanenStars00
Slava DeminStars00
Tomas HamaraStars00
Tristan BertucciStars00
Tyler MuszelikStars00
Veini VehvilainenStars00
Warren ClarkStars00

Choix au repêchage

Année R1R2R3R4R5R6R7
24
25
26
27
28
Choix au repêchage conditionnel



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Stars Historique de transactions

[11.04.2024 20:38:47] - TRADE : From Stars to Flyers : Ryan Hartman (71).
[11.04.2024 20:38:47] - TRADE : From Flyers to Stars : Y:25-RND:2-PHI, Y:26-RND:7-PHI.
[22.03.2024 21:48:00] - TRADE : From Stars to Kraken : Zach Fucale (56).
[22.03.2024 21:48:00] - TRADE : From Kraken to Stars : $500,000 (Money).
[18.03.2024 1:17:33] - TRADE : From Stars to Blue Jackets : Y:24-RND:5-DAL.
[18.03.2024 1:17:33] - TRADE : From Blue Jackets to Stars : Jaroslav Halak (63).
[21.11.2023 1:47:28] - Stars hired Peter DeBoer for $100,000 for 1 year(s).



[18.04.2024 21:44:16] Jaroslav Halak from Stars is back from Exhaustion.
[17.04.2024 22:38:57] Cliff Watson from Texas Stars is back from Strained Left Elbow Injury.
[17.04.2024 22:38:57] Game 1039 - Cliff Watson from Texas Stars is injured (Strained Left Elbow) and is out for 3 days.
[16.04.2024 23:45:16] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:46.183.64.22 .
[16.04.2024 23:45:16] Matt Murray 2 of Stars was sent to pro.
[15.04.2024 21:41:11] Game 1023 - Jack Becker from Texas Stars is injured (Bruised Left Leg) and is out for 2 weeks.
[15.04.2024 21:41:11] Jaroslav Halak from Stars injured (Exhaustion)
[15.04.2024 21:41:05] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:84.19.71.121 .
[15.04.2024 21:38:49] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:84.19.71.121 .
[15.04.2024 21:38:49] Sam Gagner of Stars was sent down to farm.
[15.04.2024 1:57:42] Sammy Blais from Stars is back from Head Injury.
[15.04.2024 1:57:42] Jan Rutta from Stars is back from Torn Left ACL Injury.
[12.04.2024 21:54:34] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[12.04.2024 21:54:06] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[11.04.2024 22:03:29] Farm Game #992 - Elliot Desnoyers from Texas Stars has scored a Hat Trick!
[11.04.2024 22:01:37] Auto Lines Partial Function has been run for Texas Stars.
[11.04.2024 22:01:37] Auto Lines Partial Function has been run for Stars.
[11.04.2024 22:01:37] Auto Roster Partial Function has been run for Stars.
[11.04.2024 20:38:47] TRADE : From Stars to Flyers : Ryan Hartman (71).
[11.04.2024 20:38:47] TRADE : From Flyers to Stars : Y:25-RND:2-PHI, Y:26-RND:7-PHI.
[08.04.2024 22:44:34] Filip Chytil from Stars is back from Torn Left Knee Ligaments Injury.
[06.04.2024 21:41:33] Successfully loaded Stars lines done with Web Base Client and SQLite Database from IP:46.183.64.22 .
[06.04.2024 21:41:33] Riley Tufte of Stars was sent down to farm.
[05.04.2024 23:35:40] Ryan Hartman from Stars is back from Torso Injury.



Laurent Brossoit est dehors pour 5 jours à cause de Broken Right Index Finger Injury.
C.J. Suess est dehors pour 5 jours à cause de Broken Bone (Left Leg) Injury.
Jack Becker est dehors pour 5 jours à cause de Bruised Left Leg Injury.



Stars Leaders statistiques des joueurs (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 des joueurs (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