Connexion

Stars
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Julien Desrosiers | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #16 vs Chill
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Stars
0-0-0, 0pts
2022-10-13
Chill
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Chill
0-0-0, 0pts
2022-10-15
Stars
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Oceanics
0-0-0, 0pts
2022-10-17
Stars
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJulien Desrosiers
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs17


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 moyen
1Jujhar KhairaXX100.00987085788166616165506080256465050640272700,000$
2Sam SteelXX100.006541918167638163696659682562620506302321,000,000$
3Jordan MartinookXXX100.007944887971597761426259622569710506202921,500,000$
4Tobias RiederXXX100.006241978367587155295156832469700506202811,700,000$
5Nathan SmithX100.00914693707167417474657263254444050620223650,000$
6Alexander Holtz (R)X100.00674292787062627025675569254444050610192925,000$
7Alexander VolkovX100.00714393767255675436586666245960050600241864,167$
8Egor Afanasyev (R)XXX100.00787682707658585873555665534444050580204789,167$
9Filip Cederqvist (R)X100.00535099657768895162464748495858050540214850,000$
10Liam Hawel (R)X100.00737289627249504964524162414444050520222525,000$
11Linus Karlsson (R)X100.00474481676564854755434154455456050520213700,000$
12Antonio Stranges (R)XX100.00686098626051544558424158414444050500193560,000$
13Alec Regula (R)X100.00794577707875646725394978254545050640213866,667$
14Thomas Harley (R)X100.00734393787363756125484863254747050610202894,167$
15Zachary Jones (R)X100.00614099706266636125524773754646050600202925,000$
16Louie BelpedioX100.00687064637055565525455159484444050550251750,000$
17Albert Johansson (R)X100.00433699686167924625453844405454050530204820,000$
Rayé
1Niklas Nordgren (R)X100.00474380646336393749353243355050050430213700,000$
2Joni Ikonen (R)X100.00403797636229283349263439385454050400222825,000$
MOYENNE D’ÉQUIPE100.0066508971695864554650506236525305057
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 moyen
1Spencer Knight (R)100.0076525178836869747875654748050680202925,000$
2Magnus Chrona (R)100.0045575489394450464243435046050500213560,000$
Rayé
MOYENNE D’ÉQUIPE100.006155538461566060605954494705059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 moyen 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
Albert JohanssonStars (Dal)D202001-01-04Yes168 Lbs6 ft0NoNoNo4Pro & Farm820,000$820,000$82,000$82,000$No820,000$820,000$820,000$Lien
Alec RegulaStars (Dal)D212000-08-05Yes208 Lbs6 ft4NoNoNo3Pro & Farm866,667$866,667$86,667$86,667$No866,667$866,667$Lien
Alexander HoltzStars (Dal)RW192002-01-23Yes194 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$92,500$92,500$No925,000$Lien
Alexander VolkovStars (Dal)RW241997-08-01No195 Lbs6 ft1NoNoNo1Pro & Farm864,167$864,167$86,417$86,417$NoLien
Antonio StrangesStars (Dal)C/LW192002-02-05Yes168 Lbs5 ft10NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Egor AfanasyevStars (Dal)C/LW/RW202001-01-23Yes203 Lbs6 ft3NoNoNo4Pro & Farm789,167$789,167$78,917$78,917$No789,167$789,167$789,167$Lien
Filip CederqvistStars (Dal)LW212000-08-23Yes207 Lbs6 ft4NoNoNo4Pro & Farm850,000$850,000$85,000$85,000$No850,000$850,000$850,000$Lien
Joni IkonenStars (Dal)C221999-04-14Yes172 Lbs5 ft11NoNoNo2Pro & Farm825,000$825,000$82,500$82,500$No825,000$Lien
Jordan MartinookStars (Dal)C/LW/RW291992-07-25No196 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$Lien
Jujhar KhairaStars (Dal)C/LW271994-08-13No212 Lbs6 ft4NoNoNo2Pro & Farm700,000$700,000$70,000$70,000$No700,000$Lien
Liam HawelStars (Dal)C221999-04-18Yes183 Lbs6 ft5NoNoNo2Pro & Farm525,000$525,000$52,500$52,500$No525,000$Lien
Linus KarlssonStars (Dal)C211999-11-16Yes179 Lbs6 ft1NoNoNo3Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$Lien
Louie BelpedioStars (Dal)D251996-05-14No197 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$75,000$75,000$NoLien
Magnus ChronaStars (Dal)G212000-08-28Yes216 Lbs6 ft6NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Nathan SmithStars (Dal)C221998-10-18No190 Lbs6 ft1NoNoNo3Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$Lien
Niklas NordgrenStars (Dal)RW212000-05-04Yes183 Lbs5 ft9NoNoNo3Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$Lien
Sam SteelStars (Dal)C/LW231998-02-03No189 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$1,000,000$100,000$100,000$No1,000,000$Lien
Spencer KnightStars (Dal)G202001-04-18Yes192 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$92,500$92,500$No925,000$Lien
Thomas HarleyStars (Dal)D202001-08-18Yes190 Lbs6 ft3NoNoNo2Pro & Farm894,167$894,167$89,417$89,417$No894,167$Lien
Tobias RiederStars (Dal)C/LW/RW281993-01-09No186 Lbs5 ft11NoNoNo1Pro & Farm1,700,000$1,700,000$170,000$170,000$NoLien
Zachary JonesStars (Dal)D202000-10-18Yes172 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$92,500$92,500$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2122.14190 Lbs6 ft12.43858,532$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
3Liam HawelAlexander Volkov20122
4Liam Hawel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary Jones40122
2Thomas Harley30122
320122
4Zachary Jones10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary Jones60122
2Thomas Harley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary Jones60122
2Thomas Harley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Zachary Jones60122
240122Thomas Harley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary Jones60122
2Thomas Harley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Linus Karlsson, , Alexander VolkovLinus Karlsson, Alexander Volkov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Thomas Harley, Thomas Harley
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 : Magnus Chrona


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
7 - 2022-10-1316Stars-Chill-
9 - 2022-10-1535Chill-Stars-
11 - 2022-10-1746Oceanics-Stars-
14 - 2022-10-2061Stars-Marlies-
16 - 2022-10-2279Stars-Rocket-
18 - 2022-10-2492Stars-Senators-
19 - 2022-10-25100Stars-Bruins-
21 - 2022-10-27117Bears-Stars-
23 - 2022-10-29127Wolf Pack-Stars-
26 - 2022-11-01153Monarchs-Stars-
28 - 2022-11-03172Stars-Jayhawks-
30 - 2022-11-05178Stars-Oil Kings-
33 - 2022-11-08204Stars-Oceanics-
36 - 2022-11-11223Sharks-Stars-
38 - 2022-11-13238Stars-Phantoms-
40 - 2022-11-15248Stars-Thunder-
42 - 2022-11-17262Stars-Cabaret Lady Mary Ann-
44 - 2022-11-19284Sound Tigers-Stars-
46 - 2022-11-21298Monsters-Stars-
48 - 2022-11-23313Baby Hawks-Stars-
50 - 2022-11-25330Oceanics-Stars-
51 - 2022-11-26339Stars-Monsters-
53 - 2022-11-28350Stars-Chiefs-
56 - 2022-12-01371Admirals-Stars-
59 - 2022-12-04393Minnesota-Stars-
61 - 2022-12-06409Marlies-Stars-
63 - 2022-12-08423Senators-Stars-
65 - 2022-12-10435Cougars-Stars-
67 - 2022-12-12449Stars-Manchots-
68 - 2022-12-13456Stars-Spiders-
70 - 2022-12-15471Stars-Bears-
72 - 2022-12-17487Stars-Caroline-
74 - 2022-12-19502Stars-Monsters-
76 - 2022-12-21522Oil Kings-Stars-
78 - 2022-12-23541Rocket-Stars-
82 - 2022-12-27551Stars-Chill-
84 - 2022-12-29569Stars-Minnesota-
86 - 2022-12-31586Sharks-Stars-
89 - 2023-01-03608Stars-Monarchs-
90 - 2023-01-04611Stars-Admirals-
94 - 2023-01-08637Cabaret Lady Mary Ann-Stars-
96 - 2023-01-10653Stars-Sound Tigers-
98 - 2023-01-12663Stars-Wolf Pack-
100 - 2023-01-14677Heat-Stars-
102 - 2023-01-16699Stars-Las Vegas-
104 - 2023-01-18716Stars-Sharks-
105 - 2023-01-19729Stars-Monarchs-
107 - 2023-01-21740Jayhawks-Stars-
109 - 2023-01-23753Crunch-Stars-
111 - 2023-01-25769Caroline-Stars-
113 - 2023-01-27785Spiders-Stars-
123 - 2023-02-06811Admirals-Stars-
125 - 2023-02-08820Minnesota-Stars-
128 - 2023-02-11837Thunder-Stars-
131 - 2023-02-14861Bruins-Stars-
134 - 2023-02-17880Stars-Minnesota-
135 - 2023-02-18887Monsters-Stars-
139 - 2023-02-22918Baby Hawks-Stars-
142 - 2023-02-25944Stars-Las Vegas-
144 - 2023-02-27955Comets-Stars-
146 - 2023-03-01970Jayhawks-Stars-
147 - 2023-03-02980Stars-Baby Hawks-
149 - 2023-03-04997Monsters-Stars-
151 - 2023-03-061008Heat-Stars-
154 - 2023-03-091025Stars-Crunch-
156 - 2023-03-111049Stars-Seattle-
158 - 2023-03-131063Stars-Seattle-
159 - 2023-03-141073Stars-Comets-
161 - 2023-03-161086Stars-Oil Kings-
163 - 2023-03-181105Stars-Heat-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211130Seattle-Stars-
168 - 2023-03-231143Manchots-Stars-
170 - 2023-03-251158Comets-Stars-
173 - 2023-03-281182Stars-Baby Hawks-
176 - 2023-03-311203Stars-Jayhawks-
177 - 2023-04-011212Stars-Monsters-
179 - 2023-04-031227Chill-Stars-
182 - 2023-04-061252Phantoms-Stars-
184 - 2023-04-081269Las Vegas-Stars-
186 - 2023-04-101280Stars-Cougars-
188 - 2023-04-121296Stars-Chiefs-
189 - 2023-04-131307Chiefs-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets205
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,802,918$ 1,802,918$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,489$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 9,489$ 1,802,910$




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