Connexion

Texas Stars
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 25 | GA: 8 | PP%: 15.38% | PK%: 94.74%
DG: Rejean Gilbert | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #164 vs Bakersfield Condors
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Centre de jeu
Texas Stars
6-2-1, 13pts
4
FINAL
0 San Jose Barracuda
3-4-1, 7pts
Team Stats
L1SéquenceW1
3-1-1Fiche domicile1-3-1
3-1-0Fiche domicile2-1-0
6-2-1Derniers 10 matchs3-4-1
2.78Buts par match 1.38
0.89Buts contre par match 2.00
15.38%Pourcentage en avantage numérique10.53%
94.74%Pourcentage en désavantage numérique100.00%
Belleville Senators
4-6-0, 8pts
2
FINAL
1 Texas Stars
6-2-1, 13pts
Team Stats
W1SéquenceL1
1-3-0Fiche domicile3-1-1
3-3-0Fiche domicile3-1-0
4-6-0Derniers 10 matchs6-2-1
2.30Buts par match 2.78
4.00Buts contre par match 0.89
23.53%Pourcentage en avantage numérique15.38%
86.67%Pourcentage en désavantage numérique94.74%
Texas Stars
6-2-1, 13pts
Jour 25
Bakersfield Condors
4-4-1, 9pts
Statistiques d’équipe
L1SéquenceL1
3-1-1Fiche domicile2-3-0
3-1-0Fiche visiteur2-1-1
6-2-110 derniers matchs4-4-1
2.78Buts par match 2.78
0.89Buts contre par match 2.78
15.38%Pourcentage en avantage numérique0.00%
94.74%Pourcentage en désavantage numérique66.67%
Cleveland Monsters
4-3-2, 10pts
Jour 26
Texas Stars
6-2-1, 13pts
Statistiques d’équipe
W1SéquenceL1
3-0-1Fiche domicile3-1-1
1-3-1Fiche visiteur3-1-0
4-3-210 derniers matchs6-2-1
2.89Buts par match 2.78
2.11Buts contre par match 2.78
15.38%Pourcentage en avantage numérique15.38%
100.00%Pourcentage en désavantage numérique94.74%
Texas Stars
6-2-1, 13pts
Jour 29
Charlotte Checkers
6-4-0, 12pts
Statistiques d’équipe
L1SéquenceW2
3-1-1Fiche domicile3-1-0
3-1-0Fiche visiteur3-3-0
6-2-110 derniers matchs6-4-0
2.78Buts par match 2.40
0.89Buts contre par match 2.40
15.38%Pourcentage en avantage numérique16.67%
94.74%Pourcentage en désavantage numérique92.31%
Meneurs d'équipe
Buts
Cole Schwindt
7
Passes
Daniil Miromanov
5
Points
Cole Schwindt
11
Plus/Moins
Daniil Miromanov
9
Victoires
Jiri Patera
6
Pourcentage d’arrêts
Jiri Patera
0.968

Statistiques d’équipe
Buts pour
25
2.78 GFG
Tirs pour
283
31.44 Avg
Pourcentage en avantage numérique
15.4%
2 GF
Début de zone offensive
42.6%
Buts contre
8
0.89 GAA
Tirs contre
171
19.00 Avg
Pourcentage en désavantage numérique
94.7%%
1 GA
Début de la zone défensive
36.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,978
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
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$
8Jacob Peterson (R)X100.00693788657386806368666267646567555000251842,500$
9Henri Nikkanen (R)X100.00773990528670835360545559536365595000231842,500$
10Matej Blumel (R)X100.00643790657589856463616660656466605000244925,000$
11Trevor CarrickX100.00664174637583856230665758507072485000303750,000$
12Dennis Gilbert (R)X100.00747271638476756230655966506869535000271925,000$
13Parker Wotherspoon (R)X100.00695474657685786330665870506769515000272750,000$
14William LagessonX100.00764277618382805930655769486870534900284775,000$
15Albert Johansson (R)X100.00593977566869825530575453466365675000232775,000$
16Ian Mitchell (R)X100.00633884697384776430716062536567695000254775,000$
17Daniil Miromanov (R)X100.00743992678889736630686463526769375000274775,000$
Rayé
1Justin BraunX100.004035406335809040204040403084761150003621,000,000$
2Josh JacobsX100.00403540553580904020404040306769115000281700,000$
3Max Gildon (R)X100.00403540553580904020404040306466115000251925,000$
MOYENNE D’ÉQUIPE100.0063437060688083554057545749656744490
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
1Cole SchwindtTexas Stars (DAL)RW97411680241063144411.11%115717.5400054000003087.50%800001.3901000220
2Daniil MiromanovTexas Stars (DAL)D93589603615126725.00%1119021.1500023000014000%000000.8400000022
3Dennis GilbertTexas Stars (DAL)D934766040101321623.08%1118720.8720239000013000%000000.7500000300
4Jacob PetersonTexas Stars (DAL)C9426600771441728.57%110211.43000030000131088.54%9600001.1711000011
5Matej BlumelTexas Stars (DAL)RW313440036143177.14%06722.4400002000081050.00%200001.1900000100
6Chris WagnerTexas Stars (DAL)C/RW31123406380612.50%05418.2700002000070092.68%4100000.7300000001
7Ian MitchellTexas Stars (DAL)D311230014101100.00%15217.470000000000000%000000.7600000010
8Tomas JurcoTexas Stars (DAL)LW/RW3011-100101010%15117.1300000000000050.00%200000.3900000000
9Marian StudenicTexas Stars (DAL)RW3011100236190%05317.8900002000000033.33%300000.3700000000
10Isaac RatcliffeTexas Stars (DAL)LW3011340702040%05217.360000200001000%000000.3800000000
11Aarne TalvitieTexas Stars (DAL)C9000100010000%0121.3900000000000062.50%80000000000000
12Trevor CarrickTexas Stars (DAL)D3000-120101000%24816.020000000000000%00000000000000
13Zachary SanfordTexas Stars (DAL)LW3000100317160%16822.77000130000120066.67%30000000000000
14Parker WotherspoonTexas Stars (DAL)D3000100634210%36521.9300012000011000%00000000000000
15William LagessonTexas Stars (DAL)D3000000201110%2196.3600003000112000%00000000000000
16Albert JohanssonTexas Stars (DAL)D3000-100210020%04715.760000000000000%00000000000000
17Henri NikkanenTexas Stars (DAL)C3000-260652250%04615.3400000000020076.67%300000000000000
Statistiques d’équipe totales ou en moyenne8120234339360147691493613713.42%34127715.7720212400001995084.46%19300000.6712000664
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)86110.9680.624840351580000.333381015
2Dylan WellsTexas Stars (DAL)10100.8462.0359002130000012000
Statistiques d’équipe totales ou en moyenne96210.9590.77543037171000393015


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$742,616$0$0$No---------------------------Lien
Albert JohanssonTexas Stars (DAL)D232001-01-04SWEYes168 Lbs6 ft0NoNoN/ANoNo22024-05-19FalseFalsePro & Farm775,000$683,119$0$0$No775,000$--------775,000$--------No--------Lien
Chris WagnerTexas Stars (DAL)C/RW331991-05-27USANo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$1,762,886$0$0$No---------------------------Lien
Cole SchwindtTexas Stars (DAL)RW232001-04-25CANYes182 Lbs6 ft2NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$733,802$0$0$No832,500$--------832,500$--------No--------Lien
Daniil MiromanovTexas Stars (DAL)D271997-07-11RUSYes207 Lbs6 ft4NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$683,119$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$815,335$0$0$No---------------------------Lien
Dylan WellsTexas Stars (DAL)G261998-01-03CANYes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$661,082$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Henri NikkanenTexas Stars (DAL)C232001-04-28FINYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm842,500$742,616$0$0$No---------------------------Lien
Ian MitchellTexas Stars (DAL)D251999-01-18CANYes192 Lbs6 ft0NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$683,119$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$617,010$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Jacob PetersonTexas Stars (DAL)C251999-07-19SWEYes180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm842,500$742,616$0$0$No---------------------------Lien
Jiri PateraTexas Stars (DAL)G251999-02-24CZEYes212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm817,500$720,580$0$0$No---------------------------Lien
Josh JacobsTexas Stars (DAL)D281996-02-15USANo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$617,010$0$0$No---------------------------Lien
Justin BraunTexas Stars (DAL)D361987-10-02USANo205 Lbs6 ft2NoNoTrade2024-02-19NoNo2FalseFalsePro & Farm1,000,000$881,443$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Marian StudenicTexas Stars (DAL)RW251998-10-28SVKYes190 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$661,082$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$815,335$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$815,335$0$0$No---------------------------Lien
Parker WotherspoonTexas Stars (DAL)D271997-08-24CANYes195 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$661,082$0$0$No750,000$--------750,000$--------No--------Lien
Tomas JurcoTexas Stars (DAL)LW/RW311992-12-28SVKNo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$617,010$0$0$No---------------------------Lien
Trevor CarrickTexas Stars (DAL)D301994-07-04CANNo171 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$661,082$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$683,119$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$749,227$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.82196 Lbs6 ft22.23863,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordJacob PetersonMarian 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 SanfordJacob PetersonMatej 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
1Jacob PetersonZachary 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
1Jacob Peterson60050Parker 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 SanfordJacob PetersonMatej BlumelDaniil MiromanovIan Mitchell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordJacob PetersonChris WagnerWilliam LagessonParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Henri Nikkanen, Isaac Ratcliffe, Tomas JurcoJacob Peterson, Chris WagnerZachary Sanford
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Daniil Miromanov, Ian MitchellDennis GilbertWilliam Lagesson, Parker Wotherspoon
Tirs de pénalité
Jacob Peterson, 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 Condors11000000514000000000001100000051421.00059140013661408694100629114263133.33%20100.00%014622465.18%11719260.94%6811061.82%306243141459656
2Belleville Senators32100000936321000009360000000000040.6679152401136611108694100650141772300.00%6183.33%014622465.18%11719260.94%6811061.82%306243141459656
3Calgary Wranglers11000000211000000000001100000021121.000246001366131869410062142252150.00%10100.00%014622465.18%11719260.94%6811061.82%306243141459656
4Hershey Bears11000000404110000004040000000000021.000471101136613586941006175013100.00%000%014622465.18%11719260.94%6811061.82%306243141459656
5Ontario Reign1010000001-1000000000001010000001-100.000000001366115869410061591016100.00%50100.00%014622465.18%11719260.94%6811061.82%306243141459656
6San Jose Barracuda210000015231000000112-11100000040430.7505914011366152869410063971041300.00%50100.00%014622465.18%11719260.94%6811061.82%306243141459656
Total9620000125817531000011459431000001138130.722254469031366128386941006171504319313215.38%19194.74%014622465.18%11719260.94%6811061.82%306243141459656
_Since Last GM Reset9620000125817531000011459431000001138130.722254469031366128386941006171504319313215.38%19194.74%014622465.18%11719260.94%6811061.82%306243141459656
_Vs Conference5310000112571000000112-143100000113870.70012223401136611388694100610431261089222.22%130100.00%014622465.18%11719260.94%6811061.82%306243141459656

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
913L1254469283171504319303
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
9620001258
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5310001145
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4310000113
Derniers 10 matchs
WLOTWOTL SOWSOL
620001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13215.38%19194.74%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
8694100613661
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
14622465.18%11719260.94%6811061.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
306243141459656


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 Stars-Bakersfield Condors-
26171Cleveland Monsters-Texas Stars-
29191Texas Stars-Charlotte Checkers-
30205Tucson Roadrunners-Texas Stars-
32217Texas Stars-Tucson Roadrunners-
35234Texas Stars-Milwaukee Admirals-
37245Rockford IceHogs-Texas Stars-
39263Texas Stars-Rochester Americans-
40274Chicago Wolves-Texas Stars-
43292Texas Stars-Grand Rapids Griffins-
45307Bridgeport Islanders-Texas Stars-
47330Texas Stars-Laval Rocket-
48340Bakersfield Condors-Texas Stars-
51358Texas Stars-Springfield Thunderbirds-
53369Henderson Silver Knights-Texas Stars-
55374Texas Stars-Utica Comets-
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
Assistance6,6503,241
Assistance PCT66.50%64.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 1978 - 65.94% 82,742$413,711$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
226,857$ 1,900,250$ 1,633,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,795$ 226,857$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,565,008$ 171 9,795$ 1,674,945$




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