Connexion

Stars
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jeremie Collin | Morale : 70 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJeremie Collin
EntraîneurJohn Stevens
DivisionPacifique
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure18
Limite contact 32 / 60
Espoirs13


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique37-110-13 (0.231%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1James NealXX100.006860947081736380706769637585870877103521,000,000$
2Trevor LewisX100.007660977080729968756465796783830877103511,200,000$
3Zack KassianX100.008470807086737567706767636775750877003111,900,000$
4Leo KomarovXX100.008360897280757567786862756570720876903511,900,000$
5Adam BrooksX100.00666098746965606875627165705555080670262900,000$
6Austin CzarnikX100.00626099796260607176606968705656080650291900,000$
7Justin SchultzX100.006560947575779278507568677375750907203211,900,000$
8Brendan SmithX100.007585747082717867506473757073730877103311,200,000$
9Mattias Samuelsson (R)X100.00806091708983606650706082635555090710221900,000$
10Slater KoekkoekX100.006860897076606066506064756558580906602811,200,000$
11Paul LadueX100.00606060707460606050606060605555090610301900,000$
Rayé
MOYENNE D’ÉQUIPE100.0072638872787071696365667068676808769
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
1Michael Hutchinson100.00787073837070647071707078770877023221,200,000$
2Joel Hofer (R)100.0079627083626261626582626263087662223900,000$
Rayé
1Cory Schneider100.00756165846161616165616192880876623611,000,000$
MOYENNE D’ÉQUIPE100.007764698364646264677164777608767
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens82857580958584CAN5521,000,000$


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
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 Plafond 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
Adam BrooksStars (DAL)C261996-05-06No185 Lbs5 ft10NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Austin CzarnikStars (DAL)C291992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm900,000$0$0$NoLien
Brendan SmithStars (DAL)D331989-02-08No211 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$0$0$NoLien
Cory SchneiderStars (DAL)G361986-03-18No210 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien
James NealStars (DAL)LW/RW351987-09-03No221 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Joel HoferStars (DAL)G222000-07-30Yes179 Lbs6 ft5NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Justin SchultzStars (DAL)D321990-07-06No193 Lbs6 ft2NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Leo KomarovStars (DAL)LW/RW351987-01-23No209 Lbs5 ft11NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Mattias SamuelssonStars (DAL)D222000-03-14Yes226 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
Michael HutchinsonStars (DAL)G321990-03-02No202 Lbs6 ft3NoNoNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien
Paul LadueStars (DAL)D301992-09-06No198 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Slater KoekkoekStars (DAL)D281994-02-18No193 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$0$0$NoLien
Trevor LewisStars (DAL)RW351987-01-08No205 Lbs6 ft1NoNoNo1Pro & Farm1,200,000$0$0$NoLien
Zack KassianStars (DAL)RW311991-01-24No209 Lbs6 ft3NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1430.43200 Lbs6 ft21.361,214,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James NealAdam BrooksTrevor Lewis40122
2Leo KomarovAustin CzarnikZack Kassian30122
320122
4James NealTrevor LewisZack Kassian10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzMattias Samuelsson40122
2Brendan SmithSlater Koekkoek30122
3Paul Ladue20122
4Justin SchultzMattias Samuelsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James NealAdam BrooksTrevor Lewis60122
2Leo KomarovAustin CzarnikZack Kassian40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzMattias Samuelsson60122
2Brendan SmithSlater Koekkoek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trevor LewisJames Neal60122
2Zack KassianLeo Komarov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzMattias Samuelsson60122
2Brendan SmithSlater Koekkoek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trevor Lewis60122Justin SchultzMattias Samuelsson60122
2James Neal40122Brendan SmithSlater Koekkoek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trevor LewisJames Neal60122
2Zack KassianLeo Komarov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzMattias Samuelsson60122
2Brendan SmithSlater Koekkoek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James NealAdam BrooksTrevor LewisJustin SchultzMattias Samuelsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James NealAdam BrooksTrevor LewisJustin SchultzMattias Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Brooks, Austin Czarnik, Leo KomarovAdam Brooks, Austin CzarnikLeo Komarov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Ladue, Brendan Smith, Slater KoekkoekPaul LadueBrendan Smith, Slater Koekkoek
Tirs de pénalité
Trevor Lewis, James Neal, Zack Kassian, Leo Komarov, Adam Brooks
Gardien
#1 : Michael Hutchinson, #2 : Joel Hofer


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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$ 1,700,000$ 1,700,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
1Kurtis MacDermid1643573108-5417846319632410.80%236323219.7115173213401131350.0000.6700
2Michael Raffl8246449013016917435712.89%35179921.941111226501176264.5411.0002
3Slater Koekkoek82215879-75812813014814.19%170174521.2871421602024210.00%00.9100
4Erik Gustafsson82165874-29621611671739.25%118200124.41101323810112200.00%00.7400
5Micheal Haley82403272-626823113324216.53%20145717.77710173600004250.8300.9912

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
1Landon Bow16436101170.8804.77848412167456190340.56025
2Brian Elliott65322740.9132.9237382318220910010.53813
3Emil Larmi391900.9193.441412408110000321.0002

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
Saison régulière
482126102412239426-1874172902111130199-694153200301109227-11836239432671209181646253484382485428355398583323592775921.30%3739275.34%41103272040.55%1228303140.51%591149239.61%1834125420916041024491
202182174905704259341-8241112002404137162-254162903300122179-5755259480739419480806254883882885933307292470221972255424.00%3256380.62%21054266939.49%1116288238.72%503134037.54%1925133720085831026506
Total Saison régulière16429110071116498767-26982184904515267361-9482116103601231406-1759149891214106118516114412508216811652171361662519091535455650211322.51%69815577.79%62157538940.03%2344591339.64%1094283238.63%37592592409911872050997
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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