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Texas Stars
GP: 27 | W: 14 | L: 10 | OTL: 3 | P: 31
GF: 125 | GA: 125 | PP%: 25.81% | PK%: 73.91%
DG: Mathieu DG | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #457 vs Utica Comets

Centre de jeu
Texas Stars
14-10-3, 31pts
5
FINAL
6 Lehigh Valley Phantoms
9-15-2, 20pts
Team Stats
W1SéquenceW3
8-6-0Fiche domicile7-8-0
6-4-3Fiche domicile2-7-2
4-5-1Derniers 10 matchs4-4-2
4.63Buts par match 5.04
4.63Buts contre par match 6.04
25.81%Pourcentage en avantage numérique21.74%
73.91%Pourcentage en désavantage numérique66.18%
Colorado Eagles
14-13-2, 30pts
4
FINAL
7 Texas Stars
14-10-3, 31pts
Team Stats
L4SéquenceW1
6-6-2Fiche domicile8-6-0
8-7-0Fiche domicile6-4-3
3-6-1Derniers 10 matchs4-5-1
3.59Buts par match 4.63
4.00Buts contre par match 4.63
28.57%Pourcentage en avantage numérique25.81%
66.04%Pourcentage en désavantage numérique73.91%
Utica Comets
13-11-4, 30pts
Jour 70
Texas Stars
14-10-3, 31pts
Statistiques d’équipe
L1SéquenceW1
8-4-2Fiche domicile8-6-0
5-7-2Fiche visiteur6-4-3
1-7-210 derniers matchs4-5-1
3.64Buts par match 4.63
3.89Buts contre par match 4.63
19.40%Pourcentage en avantage numérique25.81%
67.19%Pourcentage en désavantage numérique73.91%
Texas Stars
14-10-3, 31pts
Jour 72
Tucson Roadrunners
17-13-0, 34pts
Statistiques d’équipe
W1SéquenceL2
8-6-0Fiche domicile10-4-0
6-4-3Fiche visiteur7-9-0
4-5-110 derniers matchs7-3-0
4.63Buts par match 3.60
4.63Buts contre par match 3.60
25.81%Pourcentage en avantage numérique30.30%
73.91%Pourcentage en désavantage numérique81.82%
Calgary Wranglers
20-8-2, 42pts
Jour 74
Texas Stars
14-10-3, 31pts
Statistiques d’équipe
L3SéquenceW1
9-4-1Fiche domicile8-6-0
11-4-1Fiche visiteur6-4-3
6-4-010 derniers matchs4-5-1
5.10Buts par match 4.63
4.57Buts contre par match 4.63
31.58%Pourcentage en avantage numérique25.81%
70.45%Pourcentage en désavantage numérique73.91%
Meneurs d'équipe
Buts
Noah Ostlund
12
Vincent IorioPasses
Vincent Iorio
23
Points
Noah Ostlund
29
Liam OhgrenPlus/Moins
Liam Ohgren
5

Statistiques d’équipe
Buts pour
125
4.63 GFG
Tirs pour
1058
39.19 Avg
Pourcentage en avantage numérique
25.8%
16 GF
Début de zone offensive
38.6%
Buts contre
125
4.63 GAA
Tirs contre
1092
40.44 Avg
Pourcentage en désavantage numérique
73.9%%
18 GA
Début de la zone défensive
41.7%
Informations de l'équipe

Directeur généralMathieu DG
EntraîneurNicklas Lidstrom
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,717
Billets de saison8,370


Informations de la formation

Équipe Pro16
Équipe Mineure20
Limite contact 36 / 60
Espoirs14


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
1Jake LucchiniX100.00554370686374706561636158656253050630301775,000$
2Liam OhgrenX100.00644074697273646440616162655550050630212886,667$
3Ville KoivunenX100.00574362675862616243696059635050050620221805,833$
4Noah OstlundX100.00614168685761596142605964625050050610212886,667$
5Viktor NeuchevX100.00574072675760576143605556615050050590221870,000$
6Alex DoucetX100.00604267646363615742565356585150050580231870,000$
7Justin ErtelX100.00614167626260585740555459575050050580222867,500$
8Vincent IorioX100.00664270666863616340595568615050050630231814,167$
9Zayne ParekhX100.00554065677275596040606059555150050620193942,500$
10Samuel JohannessonX100.00554068645863626240625661615150050600241870,000$
11Seamus CaseyX100.00584067675859576040595561615050050600212950,000$
12Alec RegulaX100.00614257576357555540545261555150050580252775,000$
13Travis MitchellX100.00585358606765636040545555595250050580261775,000$
Rayé
1Sammy WalkerXXX100.005443717054686663446457576354500506102600$
MOYENNE D’ÉQUIPE100.0059426765626561614360576060525005060
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
Rayé
1Jan Bednar100.00625757656159605861595450500505602300$
2Jared Moe100.00524848575046454444504452500504602600$
MOYENNE D’ÉQUIPE100.005753536156535351535549515005051
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nicklas Lidstrom1111111SWE5551$


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
1Noah OstlundTexas Stars (DAL)C271217294120336593256412.90%837513.91101150001111247.02%45300001.5400000420
2Jake LucchiniTexas Stars (DAL)C27121628-4603377114168010.53%1052319.4143711360001410153.07%79700001.0723000201
3Vincent IorioTexas Stars (DAL)D2742327-610060444612378.70%6259822.161782150000049100%000000.9000000111
4Zayne ParekhTexas Stars (DAL)D2752025-3100363239203512.82%5060022.2515616510000511114.29%700100.8313000103
5Viktor NeuchevTexas Stars (DAL)LW2781119-2120484779155910.13%946417.20123536000011047.73%4400100.8211000112
6Seamus CaseyTexas Stars (DAL)D2751318-14100293650123410.00%4050718.793472251000049000%100000.7100000002
7Alex DoucetTexas Stars (DAL)LW1841317-1195131536142211.11%223112.8501101000041144.44%1800001.4713010110
8Justin ErtelTexas Stars (DAL)LW278917-640534480225210.00%649418.3300000000000040.00%4000000.6900000030
9Alec RegulaTexas Stars (DAL)D2751015-13140692239103012.82%3450018.541342451000149000%000100.6001000111
10Isak RosenTexas Stars (DAL)RW14581338031376711437.46%726919.240007300000140041.67%2400000.9700000112
11Liam OhgrenTexas Stars (DAL)LW75611540151336102913.89%217024.420003150000160075.00%1200001.2911000002
12Ville KoivunenTexas Stars (DAL)RW11617-100262335122117.14%319417.70000417000090056.25%1600000.7200000101
Statistiques d’équipe totales ou en moyenne26679147226-38109544645571417950611.06%233493218.5412253711435000032995550.28%141200300.92612010131015
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 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
Alec RegulaTexas Stars (DAL)D252000-08-06USANo218 Lbs6 ft4NoNoFantasy DraftNoNo22025-06-29FalseFalsePro & Farm775,000$477,260$0$0$No775,000$--------775,000$--------No--------Lien NHL
Alex DoucetTexas Stars (DAL)LW232002-01-12CANNo187 Lbs6 ft0NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm870,000$535,763$0$0$No---------------------------Lien NHL
Jake LucchiniTexas Stars (DAL)C301995-05-09CANNo174 Lbs6 ft0NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------
Jan BednarTexas Stars (DAL)G232002-08-26CZENo201 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Jared MoeTexas Stars (DAL)G261999-07-22USANo220 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Justin ErtelTexas Stars (DAL)LW222003-05-27CANNo187 Lbs6 ft2NoNoFantasy DraftNoNo22025-05-26FalseFalsePro & Farm867,500$534,223$0$0$No867,500$--------867,500$--------No--------
Liam OhgrenTexas Stars (DAL)LW212004-01-28SWENo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm886,667$546,027$0$0$No886,667$--------886,667$--------No--------Lien NHL
Noah OstlundTexas Stars (DAL)C212004-03-11SWENo165 Lbs5 ft11NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm886,667$546,027$0$0$No886,667$--------886,667$--------No--------
Sammy WalkerTexas Stars (DAL)C/LW/RW261999-06-07USANo141 Lbs5 ft10NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Samuel JohannessonTexas Stars (DAL)D242000-12-27SWENo176 Lbs5 ft11NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm870,000$535,763$0$0$No---------------------------
Seamus CaseyTexas Stars (DAL)D212004-01-08USANo172 Lbs5 ft10NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm950,000$585,028$0$0$No950,000$--------950,000$--------No--------
Travis MitchellTexas Stars (DAL)D261999-11-25USANo205 Lbs6 ft4NoNoFantasy DraftNoNo12025-07-22FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Viktor NeuchevTexas Stars (DAL)LW222003-10-25RUSNo165 Lbs5 ft11NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm870,000$535,763$0$0$No---------------------------Lien NHL
Ville KoivunenTexas Stars (DAL)RW222003-06-13FINNo168 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm805,833$496,247$0$0$No---------------------------
Vincent IorioTexas Stars (DAL)D232002-11-14CANNo205 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm814,167$501,380$0$0$No---------------------------Lien NHL
Zayne ParekhTexas Stars (DAL)D192006-02-15CANNo100 Lbs4 ft0NoNoAssign ManuallyNoNo32025-06-10FalseFalsePro & Farm942,500$580,410$0$0$No942,500$942,500$-------942,500$942,500$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1623.38179 Lbs5 ft111.25693,021$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
2Viktor NeuchevJake Lucchini30122
3Noah OstlundJustin Ertel25122
4Justin Ertel15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioZayne Parekh30122
2Seamus CaseyAlec Regula30122
325122
4Vincent IorioZayne Parekh15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Viktor NeuchevJake Lucchini50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioZayne Parekh50122
2Seamus CaseyAlec Regula50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Jake Lucchini50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioZayne Parekh50122
2Seamus CaseyAlec Regula50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Vincent IorioZayne Parekh50122
250122Seamus CaseyAlec Regula50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Jake Lucchini50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioZayne Parekh50122
2Seamus CaseyAlec Regula50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vincent IorioZayne Parekh
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vincent IorioZayne Parekh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Ostlund, , Noah Ostlund,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seamus Casey, Alec Regula, Vincent IorioSeamus CaseyAlec Regula, Vincent Iorio
Tirs de pénalité
, , Jake Lucchini, ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Jake Lucchini, , , Noah Ostlund, Viktor Neuchev, , Justin Ertel,
Lignes de défense personnalisées en prolongation
Vincent Iorio, Zayne Parekh, Seamus Casey, Alec Regula,


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 Condors1010000045-1000000000001010000045-100.000461000404040737337367340262710917400.00%20100.00%047897648.98%511105648.39%25949951.90%635450673194343163
2Belleville Senators11000000321000000000001100000032121.00035800404040735337367340263584304125.00%20100.00%047897648.98%511105648.39%25949951.90%635450673194343163
3Bridgeport Islanders220000001064110000005321100000053241.000101626004040407913373673402687248554250.00%4175.00%047897648.98%511105648.39%25949951.90%635450673194343163
4Calgary Wranglers1010000068-21010000068-20000000000000.0006111700404040751337367340264715626500.00%3233.33%047897648.98%511105648.39%25949951.90%635450673194343163
5Chicago Wolves412000101920-1201000101011-12110000099040.5001933520040404071593373673402617545301149222.22%14564.29%047897648.98%511105648.39%25949951.90%635450673194343163
6Colorado Eagles211000001110121100000111010000000000020.500111930004040407643373673402662176384375.00%3233.33%047897648.98%511105648.39%25949951.90%635450673194343163
7Henderson Silver Knights1010000027-5000000000001010000027-500.00024600404040736337367340263212223000%110.00%047897648.98%511105648.39%25949951.90%635450673194343163
8Hershey Bears11000000642110000006420000000000021.0006101600404040744337367340265119628200.00%3166.67%047897648.98%511105648.39%25949951.90%635450673194343163
9Iowa Wild10000010541100000105410000000000021.000571200404040723337367340264717422000%20100.00%047897648.98%511105648.39%25949951.90%635450673194343163
10Lehigh Valley Phantoms1000010056-1000000000001000010056-110.500510150040404074133736734026561712274250.00%60100.00%047897648.98%511105648.39%25949951.90%635450673194343163
11Manitoba Moose10001000871000000000001000100087121.0008142200404040736337367340263912428000%220.00%047897648.98%511105648.39%25949951.90%635450673194343163
12Ontario Reign2200000011652200000011650000000000041.000112132004040407963373673402688210566233.33%000%047897648.98%511105648.39%25949951.90%635450673194343163
13Rockford IceHogs310001101513211000000532200001101010050.833152742004040407114337367340261022912665240.00%6183.33%047897648.98%511105648.39%25949951.90%635450673194343163
14San Diego Gulls1010000034-11010000034-10000000000000.000369004040407513373673402639102236233.33%10100.00%047897648.98%511105648.39%25949951.90%635450673194343163
15San Jose Barracuda30200100813-51010000024-22010010069-310.1678152300404040710633736734026121413175700.00%13192.31%047897648.98%511105648.39%25949951.90%635450673194343163
16Springfield Thunderbirds10000010761000000000001000001076121.0007121900404040738337367340264914642200.00%3166.67%047897648.98%511105648.39%25949951.90%635450673194343163
17Toronto Marlies1010000024-21010000024-20000000000000.00024600404040736337367340263572313000%4175.00%047897648.98%511105648.39%25949951.90%635450673194343163
Total27910013401251250146600020666151334013205964-5310.5741252203450040404071058337367340261092318165683621625.81%691873.91%047897648.98%511105648.39%25949951.90%635450673194343163
_Since Last GM Reset27910013401251250146600020666151334013205964-5310.5741252203450040404071058337367340261092318165683621625.81%691873.91%047897648.98%511105648.39%25949951.90%635450673194343163
_Vs Conference2059012309297-511450002053503914012103947-8200.5009216325500404040777333736734026779229106488461123.91%471470.21%047897648.98%511105648.39%25949951.90%635450673194343163
_Vs Division833011304640642200020211744110111025232150.938467912500404040727533736734026299893219611545.45%16662.50%047897648.98%511105648.39%25949951.90%635450673194343163

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2731W11252203451058109231816568300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
279101340125125
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
146600206661
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
133413205964
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
621625.81%691873.91%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
337367340264040407
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
47897648.98%511105648.39%25949951.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
635450673194343163


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
314Chicago Wolves6Texas Stars4LSommaire du match
423Texas Stars2San Jose Barracuda3LXSommaire du match
741Iowa Wild4Texas Stars5WXXSommaire du match
1167Rockford IceHogs3Texas Stars5WSommaire du match
1486Texas Stars4San Jose Barracuda6LSommaire du match
1699Texas Stars5Chicago Wolves4WSommaire du match
18107Calgary Wranglers8Texas Stars6LSommaire du match
21132Colorado Eagles6Texas Stars4LSommaire du match
25160Texas Stars5Rockford IceHogs6LXSommaire du match
26169San Diego Gulls4Texas Stars3LSommaire du match
29192Ontario Reign5Texas Stars7WSommaire du match
32209Texas Stars8Manitoba Moose7WXSommaire du match
34225Ontario Reign1Texas Stars4WSommaire du match
37248Texas Stars5Bridgeport Islanders3WSommaire du match
38258Chicago Wolves5Texas Stars6WXXSommaire du match
41276Texas Stars7Springfield Thunderbirds6WXXSommaire du match
43289Hershey Bears4Texas Stars6WSommaire du match
48321Toronto Marlies4Texas Stars2LSommaire du match
50333Texas Stars3Belleville Senators2WSommaire du match
52347Texas Stars5Rockford IceHogs4WXXSommaire du match
53357Bridgeport Islanders3Texas Stars5WSommaire du match
56369Texas Stars4Chicago Wolves5LSommaire du match
58385Texas Stars2Henderson Silver Knights7LSommaire du match
59394San Jose Barracuda4Texas Stars2LSommaire du match
62405Texas Stars4Bakersfield Condors5LSommaire du match
64420Texas Stars5Lehigh Valley Phantoms6LXSommaire du match
65431Colorado Eagles4Texas Stars7WSommaire du match
70457Utica Comets-Texas Stars-
72474Texas Stars-Tucson Roadrunners-
74488Calgary Wranglers-Texas Stars-
79512Texas Stars-Calgary Wranglers-
80522San Diego Gulls-Texas Stars-
85550Iowa Wild-Texas Stars-
88568Texas Stars-Tucson Roadrunners-
90581Texas Stars-Coachella Valley Firebirds-
91588Bakersfield Condors-Texas Stars-
95613Milwaukee Admirals-Texas Stars-
97625Texas Stars-Iowa Wild-
101647Bakersfield Condors-Texas Stars-
103662Texas Stars-Laval Rocket-
105675Texas Stars-Abbotsford Canucks-
107684Hartford Wolf Pack-Texas Stars-
110711Rockford IceHogs-Texas Stars-
112724Texas Stars-Rochester Americans-
114739Texas Stars-Wilkes-Barre Penguins-
116747Tucson Roadrunners-Texas Stars-
120773Coachella Valley Firebirds-Texas Stars-
124801Manitoba Moose-Texas Stars-
126815Texas Stars-San Jose Barracuda-
129834Henderson Silver Knights-Texas Stars-
131849Texas Stars-Providence Bruins-
132857Texas Stars-Colorado Eagles-
135871Syracuse Crunch-Texas Stars-
137888Texas Stars-Iowa Wild-
139902Texas Stars-Abbotsford Canucks-
140908Charlotte Checkers-Texas Stars-
144931Texas Stars-Henderson Silver Knights-
145939Grand Rapids Griffins-Texas Stars-
149964Milwaukee Admirals-Texas Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151977Texas Stars-Colorado Eagles-
155996Abbotsford Canucks-Texas Stars-
1561006Texas Stars-San Diego Gulls-
1601028Coachella Valley Firebirds-Texas Stars-
1611036Texas Stars-Milwaukee Admirals-
1641050Texas Stars-Ontario Reign-
1651057Texas Stars-Manitoba Moose-
1671072Tucson Roadrunners-Texas Stars-
1711094Manitoba Moose-Texas Stars-
1721101Texas Stars-Cleveland Monsters-
1731103Texas Stars-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance81,64040,402
Assistance PCT97.19%96.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 8717 - 96.86% 436,461$6,110,460$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
463,300$ 1,198,251$ 1,198,251$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 461,025$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
9,165,690$ 109 6,770$ 737,930$




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