Connexion

Texas Stars
GP: 25 | W: 19 | L: 4 | OTL: 2 | P: 40
GF: 83 | GA: 19 | PP%: 14.58% | PK%: 94.74%
DG: Rejean Gilbert | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #401 vs Abbotsford Canucks
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Henderson Silver Knights
20-1-2, 42pts
1
FINAL
2 Texas Stars
19-4-2, 40pts
Team Stats
W2SéquenceL1
11-1-1Fiche domicile10-1-1
9-0-1Fiche domicile9-3-1
8-0-2Derniers 10 matchs7-2-1
3.39Buts par match 3.32
0.39Buts contre par match 0.76
14.29%Pourcentage en avantage numérique14.58%
96.00%Pourcentage en désavantage numérique94.74%
Texas Stars
19-4-2, 40pts
1
FINAL
3 Utica Comets
21-3-0, 42pts
Team Stats
L1SéquenceW2
10-1-1Fiche domicile11-1-0
9-3-1Fiche domicile10-2-0
7-2-1Derniers 10 matchs9-1-0
3.32Buts par match 3.92
0.76Buts contre par match 0.83
14.58%Pourcentage en avantage numérique17.65%
94.74%Pourcentage en désavantage numérique93.18%
Texas Stars
19-4-2, 40pts
Jour 60
Abbotsford Canucks
20-5-0, 40pts
Statistiques d’équipe
L1SéquenceW4
10-1-1Fiche domicile10-2-0
9-3-1Fiche visiteur10-3-0
7-2-110 derniers matchs8-2-0
3.32Buts par match 3.40
0.76Buts contre par match 3.40
14.58%Pourcentage en avantage numérique12.96%
94.74%Pourcentage en désavantage numérique88.78%
Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
Jour 61
Texas Stars
19-4-2, 40pts
Statistiques d’équipe
W1SéquenceL1
11-0-1Fiche domicile10-1-1
8-3-1Fiche visiteur9-3-1
7-1-210 derniers matchs7-2-1
4.04Buts par match 3.32
0.88Buts contre par match 3.32
16.13%Pourcentage en avantage numérique14.58%
93.65%Pourcentage en désavantage numérique94.74%
Texas Stars
19-4-2, 40pts
Jour 64
Laval Rocket
10-10-4, 24pts
Statistiques d’équipe
L1SéquenceW1
10-1-1Fiche domicile6-5-2
9-3-1Fiche visiteur4-5-2
7-2-110 derniers matchs5-2-3
3.32Buts par match 1.67
0.76Buts contre par match 1.67
14.58%Pourcentage en avantage numérique12.24%
94.74%Pourcentage en désavantage numérique85.96%
Meneurs d'équipe
Buts
Cole Schwindt
16
Passes
Trevor Carrick
17
Points
Matej Blumel
26
Plus/Moins
Matej Blumel
26
Victoires
Jiri Patera
16
Pourcentage d’arrêts
Jiri Patera
0.961

Statistiques d’équipe
Buts pour
83
3.32 GFG
Tirs pour
736
29.44 Avg
Pourcentage en avantage numérique
14.6%
7 GF
Début de zone offensive
45.0%
Buts contre
19
0.76 GAA
Tirs contre
366
14.64 Avg
Pourcentage en désavantage numérique
94.7%%
4 GA
Début de la zone défensive
33.4%
Informations de l'équipe

Directeur généralRejean Gilbert
DivisionPACIFIC
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,006
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 250
Espoirs64


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
1Aarne Talvitie (R)X100.00403540553580904020404040306466115000251842,500$
2Chris WagnerXX100.007840716473807862615963655875763547003311,999,999$
3Tomas JurcoXX100.00403540403580904020404040302525115000311700,000$
4Zachary SanfordX100.00777377658879826361625966637273542700293850,000$
5Marian Studenic (R)X100.00683789627580855761635860626668535000253750,000$
6Isaac Ratcliffe (R)X100.00835069579274815653545558526567735000254700,000$
7Cole Schwindt (R)X100.00683886557779865664575859556365645000232832,500$
8Henri Nikkanen (R)X100.00773990528670835360545559536365595000231842,500$
9Matej Blumel (R)X100.00643790657589856463616660656466605000244925,000$
10Trevor CarrickX100.00664174637583856230665758507072485000303750,000$
11Dennis Gilbert (R)X100.00747271638476756230655966506869535000271925,000$
12Parker Wotherspoon (R)X100.00695474657685786330665870506769514800272750,000$
13William LagessonX100.00764277618382805930655769486870534900284775,000$
14Albert Johansson (R)X100.00593977566869825530575453466365675000232775,000$
15Ian Mitchell (R)X100.00633884697384776430716062536567695000254775,000$
16Daniil Miromanov (R)X100.00743992678889736630686463526769375000274775,000$
Rayé
1Justin BraunX100.004035406335809040204040403084761150003621,000,000$
2Josh JacobsX100.00403540553580904020404040306769115000281700,000$
3Max Gildon (R)X100.00403540553580904020404040306466115000251925,000$
MOYENNE D’ÉQUIPE100.0063437060688083553956545648656644480
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
1Dylan Wells (R)100.0064957378655960606050706675565000263750,000$
2Jiri Patera (R)100.0061997886626363636453746573575000251817,500$
Rayé
MOYENNE D’ÉQUIPE100.006397768264616262625272667457500
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
1Matej BlumelTexas Stars (DAL)RW19131326262072589246914.61%142122.160117330001305141.67%2400001.2412000270
2Cole SchwindtTexas Stars (DAL)RW2516622181403529110278314.55%136914.7900054000006072.00%2500001.1902000521
3Daniil MiromanovTexas Stars (DAL)D258132119140802338102521.05%2552521.023031629011055110%000000.8000000035
4Trevor CarrickTexas Stars (DAL)D192171924200372921122.22%431116.390000000000000%000001.2200000211
5Zachary SanfordTexas Stars (DAL)LW196101614180512051134011.76%341621.951013311012630073.33%1500000.7701000111
6Dennis GilbertTexas Stars (DAL)D254121616160822325142916.00%1653321.34224634000059100%000000.6000000310
7Jacob PetersonDallas StarsC2188161640142558196513.79%336317.310220160113541081.73%32300000.8811000021
8Chris WagnerTexas Stars (DAL)C/RW1977141880273055226012.73%235718.820113290002301075.46%27300000.7801000202
9Marian StudenicTexas Stars (DAL)RW19471111401614478428.51%234718.31000229000001057.14%1400000.6312000202
10Isaac RatcliffeTexas Stars (DAL)LW193811161354382622711.54%335118.490221290000210088.89%900000.6300001002
11Albert JohanssonTexas Stars (DAL)D191910244019582312.50%930916.290000000000000%000000.6500000110
12Ian MitchellTexas Stars (DAL)D1919101260201790711.11%333117.440001000005000%000000.6000000012
13Henri NikkanenTexas Stars (DAL)C192681020030213714275.41%129415.48000000000151079.61%20600000.5400000010
14Parker WotherspoonTexas Stars (DAL)D140661120219201060%830221.63000924000143000%000000.4000000000
15William LagessonTexas Stars (DAL)D191121206473614.29%91075.65112538000262010%000000.3700000000
16Aarne TalvitieTexas Stars (DAL)C251017409550220.00%0863.4500000000000048.10%7900000.2300000000
17Tomas JurcoTexas Stars (DAL)LW/RW19011171001748330%133217.5300002000180066.67%1200000.0600000000
Statistiques d’équipe totales ou en moyenne34477133210260161551426460217350512.79%91576216.757916583041231245117375.00%98000000.7339001182017
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
1Jiri PateraTexas Stars (DAL)2016220.9610.59121209123040000.66712205115
2Dylan WellsTexas Stars (DAL)53200.9191.002990356200000514000
Statistiques d’équipe totales ou en moyenne2519420.9540.68151101217366000122519115


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Aarne TalvitieTexas Stars (DAL)C251999-02-11FINYes198 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Albert JohanssonTexas Stars (DAL)D232001-01-04SWEYes168 Lbs6 ft0NoNoN/ANoNo22024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------775,000$--------No--------Lien
Chris WagnerTexas Stars (DAL)C/RW331991-05-27USANo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$1,402,061$0$0$No---------------------------Lien
Cole SchwindtTexas Stars (DAL)RW232001-04-25CANYes182 Lbs6 ft2NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$583,608$0$0$No832,500$--------832,500$--------No--------Lien
Daniil MiromanovTexas Stars (DAL)D271997-07-11RUSYes207 Lbs6 ft4NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Dennis GilbertTexas Stars (DAL)D271996-10-30USAYes216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Dylan WellsTexas Stars (DAL)G261998-01-03CANYes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Henri NikkanenTexas Stars (DAL)C232001-04-28FINYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Ian MitchellTexas Stars (DAL)D251999-01-18CANYes192 Lbs6 ft0NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Isaac RatcliffeTexas Stars (DAL)LW251999-02-15CANYes200 Lbs6 ft6NoNoN/ANoNo42024-05-19FalseFalsePro & Farm700,000$490,722$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Jiri PateraTexas Stars (DAL)G251999-02-24CZEYes212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm817,500$573,093$0$0$No---------------------------Lien
Josh JacobsTexas Stars (DAL)D281996-02-15USANo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Justin BraunTexas Stars (DAL)D361987-10-02USANo205 Lbs6 ft2NoNoTrade2024-02-19NoNo2FalseFalsePro & Farm1,000,000$701,031$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Marian StudenicTexas Stars (DAL)RW251998-10-28SVKYes190 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Matej BlumelTexas Stars (DAL)RW242000-05-31CZEYes200 Lbs6 ft0NoNoN/ANoNo42024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien
Max GildonTexas Stars (DAL)D251999-05-17USAYes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Parker WotherspoonTexas Stars (DAL)D271997-08-24CANYes195 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$525,773$0$0$No750,000$--------750,000$--------No--------Lien
Tomas JurcoTexas Stars (DAL)LW/RW311992-12-28SVKNo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Trevor CarrickTexas Stars (DAL)D301994-07-04CANNo171 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
William LagessonTexas Stars (DAL)D281996-02-22SWENo211 Lbs6 ft2NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Zachary SanfordTexas Stars (DAL)LW291994-11-09USANo206 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm850,000$595,876$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.90196 Lbs6 ft22.29864,762$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordMarian Studenic36023
2Isaac RatcliffeChris WagnerMatej Blumel34023
3Tomas JurcoHenri NikkanenCole Schwindt20032
4Tomas JurcoAarne TalvitieMatej Blumel10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis GilbertParker Wotherspoon36032
2Ian MitchellDaniil Miromanov34032
3Albert JohanssonTrevor Carrick20032
4Albert JohanssonTrevor Carrick10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordMatej Blumel60005
2Isaac RatcliffeChris WagnerMarian Studenic40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovDennis Gilbert60014
2William LagessonParker Wotherspoon40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zachary Sanford60050
2Chris WagnerMatej Blumel40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonDennis Gilbert60050
2William LagessonDaniil Miromanov40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160050Parker WotherspoonDennis Gilbert60050
2Chris Wagner40050William LagessonDaniil Miromanov40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aarne TalvitieHenri Nikkanen60032
2Chris WagnerMatej Blumel40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis GilbertTrevor Carrick60032
2Albert JohanssonIan Mitchell40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordMatej BlumelDaniil MiromanovIan Mitchell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordChris WagnerWilliam LagessonParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Henri Nikkanen, Isaac Ratcliffe, Tomas Jurco, Chris WagnerZachary Sanford
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Daniil Miromanov, Ian MitchellDennis GilbertWilliam Lagesson, Parker Wotherspoon
Tirs de pénalité
, Matej Blumel, Marian Studenic, Zachary Sanford, Chris Wagner
Gardien
#1 : Jiri Patera, #2 : Dylan Wells


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
1Bakersfield Condors33000000171161100000070722000000101961.00017324902412318311023825324017481512704125.00%60100.00%043463668.24%29647262.71%20330666.34%898715355119261159
2Belleville Senators32100000936321000009360000000000040.667915240141231831102382532401750141772300.00%6183.33%043463668.24%29647262.71%20330666.34%898715355119261159
3Bridgeport Islanders11000000606110000006060000000000021.00061218014123183212382532401761419000%20100.00%043463668.24%29647262.71%20330666.34%898715355119261159
4Calgary Wranglers11000000211000000000001100000021121.00024600412318331238253240172142252150.00%10100.00%043463668.24%29647262.71%20330666.34%898715355119261159
5Charlotte Checkers11000000312000000000001100000031221.00036900412318347238253240178022511100.00%10100.00%043463668.24%29647262.71%20330666.34%898715355119261159
6Chicago Wolves11000000312110000003120000000000021.00035800412318323238253240172141024200.00%50100.00%043463668.24%29647262.71%20330666.34%898715355119261159
7Cleveland Monsters11000000202110000002020000000000021.00024601412318327238253240171021027200.00%40100.00%043463668.24%29647262.71%20330666.34%898715355119261159
8Grand Rapids Griffins11000000505000000000001100000050521.000591401412318329238253240171361120300.00%30100.00%043463668.24%29647262.71%20330666.34%898715355119261159
9Henderson Silver Knights10000010211100000102110000000000021.000224004123183112382532401723414246116.67%7185.71%043463668.24%29647262.71%20330666.34%898715355119261159
10Hershey Bears11000000404110000004040000000000021.00047110141231833523825324017175013100.00%000%043463668.24%29647262.71%20330666.34%898715355119261159
11Laval Rocket11000000404000000000001100000040421.0004812014123183272382532401753219300.00%10100.00%043463668.24%29647262.71%20330666.34%898715355119261159
12Milwaukee Admirals11000000202000000000001100000020221.0002460141231833423825324017661024000%40100.00%043463668.24%29647262.71%20330666.34%898715355119261159
13Ontario Reign1010000001-1000000000001010000001-100.00000000412318315238253240171591016100.00%50100.00%043463668.24%29647262.71%20330666.34%898715355119261159
14Rochester Americans1010000001-1000000000001010000001-100.0000000041231837238253240171152026200.00%100100.00%043463668.24%29647262.71%20330666.34%898715355119261159
15Rockford IceHogs11000000202110000002020000000000021.0002460141231833323825324017114630100.00%30100.00%043463668.24%29647262.71%20330666.34%898715355119261159
16San Jose Barracuda210000015231000000112-11100000040430.750591401412318352238253240173971041300.00%50100.00%043463668.24%29647262.71%20330666.34%898715355119261159
17Springfield Thunderbirds1000000123-1000000000001000000123-110.5002460041231833323825324017199620500.00%20100.00%043463668.24%29647262.71%20330666.34%898715355119261159
18Tucson Roadrunners2200000014113110000009091100000051441.000142741014123183752382532401718210384250.00%5180.00%143463668.24%29647262.71%20330666.34%898715355119261159
19Utica Comets1010000013-2000000000001010000013-200.000123004123183162382532401725712275120.00%6183.33%043463668.24%29647262.71%20330666.34%898715355119261159
Total251840001283196412910001145738139300001381226400.8008315423701241231837362382532401736610716856048714.58%76494.74%143463668.24%29647262.71%20330666.34%898715355119261159
_Since Last GM Reset251840001283196412910001145738139300001381226400.8008315423701241231837362382532401736610716856048714.58%76494.74%143463668.24%29647262.71%20330666.34%898715355119261159
_Vs Conference151110001253104364000011233209710000130723260.8675399152084123183450238253240172236810133531516.13%45295.56%143463668.24%29647262.71%20330666.34%898715355119261159

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2540L183154237736366107168560012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2518400128319
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
12910011457
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
139300013812
Derniers 10 matchs
WLOTWOTL SOWSOL
620011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
48714.58%76494.74%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
238253240174123183
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
43463668.24%29647262.71%20330666.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
898715355119261159


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
621Belleville Senators0Texas Stars4WSommaire du match
737San Jose Barracuda2Texas Stars1LXXSommaire du match
1052Texas Stars5Bakersfield Condors1WSommaire du match
1267Texas Stars2Calgary Wranglers1WSommaire du match
1479Belleville Senators1Texas Stars4WSommaire du match
1698Hershey Bears0Texas Stars4WSommaire du match
18111Texas Stars0Ontario Reign1LSommaire du match
21130Texas Stars4San Jose Barracuda0WSommaire du match
23140Belleville Senators2Texas Stars1LSommaire du match
25164Texas Stars5Bakersfield Condors0WSommaire du match
26171Cleveland Monsters0Texas Stars2WSommaire du match
29191Texas Stars3Charlotte Checkers1WSommaire du match
30205Tucson Roadrunners0Texas Stars9WSommaire du match
32217Texas Stars5Tucson Roadrunners1WSommaire du match
35234Texas Stars2Milwaukee Admirals0WSommaire du match
37245Rockford IceHogs0Texas Stars2WSommaire du match
39263Texas Stars0Rochester Americans1LSommaire du match
40274Chicago Wolves1Texas Stars3WSommaire du match
43292Texas Stars5Grand Rapids Griffins0WSommaire du match
45307Bridgeport Islanders0Texas Stars6WSommaire du match
47330Texas Stars4Laval Rocket0WSommaire du match
48340Bakersfield Condors0Texas Stars7WSommaire du match
51358Texas Stars2Springfield Thunderbirds3LXXSommaire du match
53369Henderson Silver Knights1Texas Stars2WXXSommaire du match
55374Texas Stars1Utica Comets3LSommaire du match
60401Texas Stars-Abbotsford Canucks-
61414Wilkes-Barre/Scranton Penguins-Texas Stars-
64431Texas Stars-Laval Rocket-
65444Calgary Wranglers-Texas Stars-
68464Hershey Bears-Texas Stars-
71475Texas Stars-Bakersfield Condors-
73493Texas Stars-Rockford IceHogs-
75502Ontario Reign-Texas Stars-
79529Tucson Roadrunners-Texas Stars-
81545Texas Stars-Ontario Reign-
88567Iowa Wild-Texas Stars-
90586Texas Stars-Coachella Valley Firebirds-
91598San Diego Gulls-Texas Stars-
94619Texas Stars-Coachella Valley Firebirds-
95624Manitoba Moose-Texas Stars-
98639Texas Stars-San Diego Gulls-
100659Texas Stars-Cleveland Monsters-
101670San Jose Barracuda-Texas Stars-
103692Grand Rapids Griffins-Texas Stars-
105704Texas Stars-LeHigh Valley Phantoms-
108721Utica Comets-Texas Stars-
110741Texas Stars-Toronto Marlies-
112751Texas Stars-Iowa Wild-
113761Hartford Wolf Pack-Texas Stars-
116784Texas Stars-Calgary Wranglers-
117794Cleveland Monsters-Texas Stars-
122819Milwaukee Admirals-Texas Stars-
125834Texas Stars-Henderson Silver Knights-
127851Abbotsford Canucks-Texas Stars-
129873San Diego Gulls-Texas Stars-
143887Texas Stars-Bridgeport Islanders-
146909Belleville Senators-Texas Stars-
148917Texas Stars-San Jose Barracuda-
150941Providence Bruins-Texas Stars-
151946Texas Stars-Chicago Wolves-
156976Coachella Valley Firebirds-Texas Stars-
157982Texas Stars-Charlotte Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1621005Colorado Eagles-Texas Stars-
1671018Texas Stars-Colorado Eagles-
1701037Texas Stars-Manitoba Moose-
1711046Syracuse Crunch-Texas Stars-
1741067Texas Stars-Bridgeport Islanders-
1751078Springfield Thunderbirds-Texas Stars-
1771086Texas Stars-San Diego Gulls-
1821104Ontario Reign-Texas Stars-
1871129San Jose Barracuda-Texas Stars-
1921143Texas Stars-Tucson Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4222
Assistance16,3127,765
Assistance PCT67.97%64.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2006 - 66.88% 84,167$1,010,004$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
565,920$ 1,816,000$ 1,573,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,361$ 565,920$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,020,008$ 136 9,361$ 1,273,096$




Texas 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

Texas 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

Texas 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

Texas 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

Texas 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