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Texas Stars
GP: 31 | W: 15 | L: 16 | OTL: 0 | P: 30
GF: 86 | GA: 91 | PP%: 23.68% | PK%: 87.93%
DG: Joe Brodsky | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #522 vs Wilkes Scranton Penguins

Centre de jeu
Colorado Eagles
23-5-2, 48pts
2
3 Texas Stars
15-16-0, 30pts
Team Stats
SOL1SéquenceW2
12-4-0Fiche domicile7-9-0
11-1-2Fiche domicile8-7-0
7-1-2Derniers 10 matchs4-6-0
3.47Buts par match 2.77
2.77Buts contre par match 2.94
19.49%Pourcentage en avantage numérique23.68%
85.84%Pourcentage en désavantage numérique87.93%
Victoria Grizzlies
17-13-3, 37pts
3
6 Texas Stars
15-16-0, 30pts
Team Stats
L1SéquenceW2
8-5-2Fiche domicile7-9-0
9-8-1Fiche domicile8-7-0
5-3-2Derniers 10 matchs4-6-0
4.36Buts par match 2.77
4.12Buts contre par match 2.94
23.08%Pourcentage en avantage numérique23.68%
74.36%Pourcentage en désavantage numérique87.93%
Wilkes Scranton Penguins
13-16-3, 29pts
Jour 73
Texas Stars
15-16-0, 30pts
Statistiques d’équipe
W1SéquenceW2
7-8-1Fiche domicile7-9-0
6-8-2Fiche visiteur8-7-0
8-1-110 derniers matchs4-6-0
3.06Buts par match 2.77
3.34Buts contre par match 2.77
21.38%Pourcentage en avantage numérique23.68%
82.08%Pourcentage en désavantage numérique87.93%
Texas Stars
15-16-0, 30pts
Jour 75
Newfoundland Regiment
22-9-1, 45pts
Statistiques d’équipe
W2SéquenceW4
7-9-0Fiche domicile12-3-1
8-7-0Fiche visiteur10-6-0
4-6-010 derniers matchs7-2-1
2.77Buts par match 3.69
2.94Buts contre par match 3.69
23.68%Pourcentage en avantage numérique22.93%
87.93%Pourcentage en désavantage numérique84.96%
Stouffville Clippers
14-18-1, 29pts
Jour 77
Texas Stars
15-16-0, 30pts
Statistiques d’équipe
L1SéquenceW2
6-8-1Fiche domicile7-9-0
8-10-0Fiche visiteur8-7-0
3-7-010 derniers matchs4-6-0
4.24Buts par match 2.77
4.55Buts contre par match 2.77
18.12%Pourcentage en avantage numérique23.68%
82.35%Pourcentage en désavantage numérique87.93%
Meneurs d'équipe
Buts
Dylan Roobroeck
16
Passes
Seamus Casey
26
Points
Seamus Casey
28
Plus/Moins
Ville Ottavainen
-2
Victoires
Joel Blomqvist
7
Pourcentage d’arrêts
Joel Blomqvist
0.927

Statistiques d’équipe
Buts pour
86
2.77 GFG
Tirs pour
909
29.32 Avg
Pourcentage en avantage numérique
23.7%
27 GF
Début de zone offensive
40.7%
Buts contre
91
2.94 GAA
Tirs contre
1043
33.65 Avg
Pourcentage en désavantage numérique
87.9%%
14 GA
Début de la zone défensive
41.6%
Informations de l'équipe

Directeur généralJoe Brodsky
DivisionCentral Division
ConférenceWestern Conference
CapitaineVille Meskanen
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro15
Équipe Mineure19
Limite contact 34 / 60
Espoirs20


Historique d'équipe

Saison actuelle15-16-0 (30PTS)
Historique104-76-17 (0.528%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)19 - 16 (0.543%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ville KoivunenX100.00596470586171686958706567605655050650222925,000$
2Dylan RoobroeckX100.00575968628072696357606468565452050640202675,000$
3Eetu LiukasX100.00575669607467665857585864565754050610222775,000$
4Kaleb LawrenceX100.00585668578461615857575863565553050600222675,000$
5Colin MillerX100.00684284757663826142676286567159050710321955,000$
6Seamus Casey (R)X100.00595282696162616143656367575555050640213925,000$
7Topi NiemelaX100.00565670606669676142625765565754050620231875,000$
8Topias VilenX100.00565670597068666142635666625553050620222775,000$
9Alexander Nikishin (R)X100.00555555555555555550555555555555050550232875,000$
Rayé
1Lian Bichsel (R)X100.00716571739164676043636275575656050680213975,000$
2Tristan LuneauX100.00585672617671676743706067575554050650212925,000$
3Ville OttavainenX100.00585870618372706143615869575855050640221950,000$
MOYENNE D’ÉQUIPE100.0059567163736667614863606857575505063
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
1Devon Levi100.0075767661747872756672696256050720231675,000$
2Joel Blomqvist100.0064666675837273687566625955050700231925,000$
3Simon Zajicek (R)100.0055555555555555555555555555055550241625,000$
MOYENNE D’ÉQUIPE100.006566666471686766656462595505266
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
1Seamus CaseyTexas Stars (DAL)D3022628-426048536326473.17%4969723.25013133374000055000%400000.8001000123
2Matthew PoitrasTexas Stars (DAL)C/LW/RW30121426-812039102118316210.17%863621.225510227801111022155.30%78300000.8213000228
3Dylan RoobroeckTexas Stars (DAL)C3016622-831560100155409210.32%1969923.331013170001373050.85%70400000.6302010503
4Colin MillerTexas Stars (DAL)D3081321-9340655470274511.43%6666822.2975124493011182200%000000.6300000431
5Ville KoivunenTexas Stars (DAL)C30111021-7100636699326111.11%560120.056713329300021081151.60%50000000.7023000243
6Topi NiemelaTexas Stars (DAL)D3041216-716046341971421.05%3355818.6210113000043000%000000.5700000031
7Eetu LiukasTexas Stars (DAL)C3051015-618054445714528.77%862520.841566780001772053.23%26300000.4802000120
8Topias VilenTexas Stars (DAL)D303912-62004528346148.82%4556818.93011715000013100%000000.4201000111
9Kaleb LawrenceTexas Stars (DAL)C30336-146053254912506.12%559719.920226760000330050.00%9600000.2012000011
10Alexander NikishinTexas Stars (DAL)D30325-91605416361098.33%754618.2132514880000400137.50%2400000.1800000020
11Tristan LuneauTexas Stars (DAL)D8033-34012517270%914718.42022101700001200100.00%100000.4101000010
12Ville OttavainenTexas Stars (DAL)D2112-2004262316.67%43115.971125500004000%000001.2511000001
Statistiques d’équipe totales ou en moyenne31068109177-8319355435297232094569.41%258637920.58254368183641022660911352.51%237500000.55516010162122
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
1Joel BlomqvistTexas Stars (DAL)127500.9272.3272423283840000.66731220321
2Devon LeviTexas Stars (DAL)84400.9043.2248400262720100.889980100
Statistiques d’équipe totales ou en moyenne2011900.9182.6812082354656010122020421


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
Alexander NikishinTexas Stars (DAL)D232001-10-02NAYes100 Lbs4 ft0NoNoProspectNoNo22025-07-05FalseFalsePro & Farm875,000$553,856$0$0$No875,000$--------875,000$--------No--------
Colin MillerTexas Stars (DAL)D321992-10-29CANNo200 Lbs6 ft0NoNoTrade2025-07-06NoNo12024-09-10FalseFalsePro & Farm955,000$604,495$0$0$No---------------------------Lien
Devon LeviTexas Stars (DAL)G232001-12-27CANNo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm675,000$427,261$0$0$No---------------------------Lien
Dylan RoobroeckTexas Stars (DAL)C202004-07-27CANNo205 Lbs6 ft7NoNoProspectNoNo22025-02-18FalseFalsePro & Farm675,000$427,261$0$0$No675,000$--------675,000$--------No--------Lien
Eetu LiukasTexas Stars (DAL)C222002-09-25FINNo205 Lbs6 ft3NoNoProspectNoNo22024-07-04FalseFalsePro & Farm775,000$490,559$0$0$No775,000$--------775,000$--------No--------Lien
Joel BlomqvistTexas Stars (DAL)G232002-01-10FINNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$585,505$0$0$No---------------------------Lien
Kaleb LawrenceTexas Stars (DAL)C222003-01-10CANNo229 Lbs6 ft7NoNoProspectNoNo22024-12-03FalseFalsePro & Farm675,000$427,261$0$0$No675,000$--------675,000$--------No--------Lien
Lian BichselTexas Stars (DAL)D212004-05-18SUIYes231 Lbs6 ft7NoNoProspectNoNo32025-06-29FalseFalsePro & Farm975,000$617,154$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Seamus CaseyTexas Stars (DAL)D212004-01-08USAYes160 Lbs5 ft10NoNoProspectNoNo32025-06-29FalseFalsePro & Farm925,000$585,505$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Simon ZajicekTexas Stars (DAL)G242001-06-25CZEYes100 Lbs4 ft0NoNoProspectNoNo12025-10-13FalseFalsePro & Farm625,000$395,612$0$0$No---------------------------
Topi NiemelaTexas Stars (DAL)D232002-03-25FINNo181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm875,000$553,856$0$0$No---------------------------Lien
Topias VilenTexas Stars (DAL)D222003-04-01FINNo194 Lbs6 ft1NoNoProspectNoNo22024-07-04FalseFalsePro & Farm775,000$490,559$0$0$No775,000$--------775,000$--------No--------Lien
Tristan LuneauTexas Stars (DAL)D212004-01-12CANNo202 Lbs6 ft0NoNoTrade2024-10-03NoNo22024-07-20FalseFalsePro & Farm925,000$585,505$0$0$No925,000$--------925,000$--------No--------Lien
Ville KoivunenTexas Stars (DAL)C222003-06-13FINNo160 Lbs5 ft10NoNoProspectNoNo22024-08-18FalseFalsePro & Farm925,000$585,505$0$0$No925,000$--------925,000$--------No--------Lien
Ville OttavainenTexas Stars (DAL)D222002-08-12FINNo209 Lbs6 ft5NoNoFree AgentNoNo12024-09-10FalseFalsePro & Farm950,000$601,330$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1522.73184 Lbs5 ft111.73835,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eetu LiukasMatthew PoitrasKaleb Lawrence35122
2Alexander NikishinVille Koivunen30122
3Dylan Roobroeck25122
4Matthew PoitrasEetu LiukasVille Koivunen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin Miller35122
2Seamus Casey30122
3Topias VilenTopi Niemela25122
4Alexander NikishinColin Miller10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eetu LiukasMatthew PoitrasKaleb Lawrence60122
2Alexander NikishinVille Koivunen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin Miller60122
2Seamus Casey40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PoitrasVille Koivunen60122
2Dylan RoobroeckEetu Liukas40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin Miller60122
2Seamus Casey40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Poitras60122Colin Miller60122
2Ville Koivunen40122Seamus Casey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PoitrasVille Koivunen60122
2Dylan RoobroeckEetu Liukas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin Miller60122
2Seamus Casey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eetu LiukasMatthew PoitrasKaleb LawrenceColin Miller
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eetu LiukasMatthew PoitrasKaleb LawrenceColin Miller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaleb Lawrence, Dylan Roobroeck, Eetu LiukasKaleb Lawrence, Dylan RoobroeckEetu Liukas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Topias Vilen, Topi Niemela, Alexander NikishinTopias VilenTopi Niemela, Alexander Nikishin
Tirs de pénalité
Matthew Poitras, Ville Koivunen, Dylan Roobroeck, Eetu Liukas, Kaleb Lawrence
Gardien
#1 : , #2 :


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
1Charlotte Checkers11000000321000000000001100000032121.000358003525235333112982942238158284250.00%40100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
2Cincinnati Cyclones42200000880211000004402110000044040.5008142200352523598311298294229933326711327.27%16381.25%0557105852.65%567108352.35%23546150.98%787546698218388199
3Colorado Eagles21000010532100000103211100000021141.0005611003525235443112982942257191745300.00%60100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
4Flint Michigan Tropics21000010633100000104311100000020241.0006915013525235473112982942249718244125.00%90100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
5Grand Rapids Griffins1010000012-11010000012-10000000000000.00011200352523518311298294221871019300.00%5180.00%0557105852.65%567108352.35%23546150.98%787546698218388199
6Hamilton Bulldogs11000000303000000000001100000030321.000369013525235293112982942246712213266.67%50100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
7Hartford Wolf Pack1010000025-3000000000001010000025-300.00024600352523522311298294223714824400.00%40100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
8Henderson Silver Knights2020000057-21010000034-11010000023-100.0005914003525235653112982942283262247600.00%11190.91%0557105852.65%567108352.35%23546150.98%787546698218388199
9Iowa Wild21000010743110000002021000001054141.00079160135252355431129829422421185712433.33%30100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
10Kimberley Dynamiters1010000013-21010000013-20000000000000.00012300352523530311298294224217824200.00%30100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
11Lehigh Valley Phantoms1010000005-5000000000001010000005-500.00000000352523514311298294225282215200.00%11281.82%0557105852.65%567108352.35%23546150.98%787546698218388199
12Manitoba Moose413000001215-3312000001012-21010000023-120.25012223400352523514431129829422147391811014214.29%9277.78%0557105852.65%567108352.35%23546150.98%787546698218388199
13Ontario Reign11000000404110000004040000000000021.000471101352523524311298294223674154125.00%30100.00%1557105852.65%567108352.35%23546150.98%787546698218388199
14Owen Sound Platers1010000024-2000000000001010000024-200.000235003525235343112982942248121022200.00%50100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
15Prince George Cougars11000000541000000000001100000054121.0005914003525235363112982942239136255480.00%3166.67%0557105852.65%567108352.35%23546150.98%787546698218388199
16Rhode Island Red Army1010000035-21010000035-20000000000000.00034700352523538311298294222286147228.57%3166.67%0557105852.65%567108352.35%23546150.98%787546698218388199
17San Diego Gulls1010000014-3000000000001010000014-300.0001230035252351931129829422247614300.00%3166.67%0557105852.65%567108352.35%23546150.98%787546698218388199
18Saskatchewan Snatchsniffers21100000910-11010000057-21100000043120.500917260035252358231129829422972816678225.00%60100.00%0557105852.65%567108352.35%23546150.98%787546698218388199
19Syracuse Crunch1010000034-11010000034-10000000000000.0003580035252353731129829422311062210110.00%3166.67%0557105852.65%567108352.35%23546150.98%787546698218388199
20Victoria Grizzlies11000000633110000006330000000000021.0006121800352523541311298294223698277342.86%4175.00%0557105852.65%567108352.35%23546150.98%787546698218388199
Total311216000308691-5165900020494901577000103742-5300.484861462320435252359093112982942210432972456871142723.68%1161487.93%1557105852.65%567108352.35%23546150.98%787546698218388199
_Since Last GM Reset311216000308691-5165900020494901577000103742-5300.484861462320435252359093112982942210432972456871142723.68%1161487.93%1557105852.65%567108352.35%23546150.98%787546698218388199
_Vs Conference23101000030696451356000204238410540001027261260.5656911818703352523568431129829422751216163522792025.32%76988.16%1557105852.65%567108352.35%23546150.98%787546698218388199
_Vs Division8780003024222535000201514134300010981201.25024376101352523524231129829422246694321229620.69%18288.89%0557105852.65%567108352.35%23546150.98%787546698218388199

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3130W286146232909104329724568704
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31121600308691
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
165900204949
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157700103742
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1142723.68%1161487.93%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
311298294223525235
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
557105852.65%567108352.35%23546150.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
787546698218388199


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
15Saskatchewan Snatchsniffers7Texas Stars5LSommaire du match
28Texas Stars5Iowa Wild4WXXSommaire du match
425Texas Stars4Saskatchewan Snatchsniffers3WSommaire du match
855Texas Stars2Manitoba Moose3LSommaire du match
964Manitoba Moose6Texas Stars5LSommaire du match
1288Cincinnati Cyclones1Texas Stars3WSommaire du match
1497Texas Stars2Colorado Eagles1WSommaire du match
16114Manitoba Moose4Texas Stars2LSommaire du match
19139Henderson Silver Knights4Texas Stars3LSommaire du match
21149Texas Stars2Henderson Silver Knights3LSommaire du match
24177Manitoba Moose2Texas Stars3WSommaire du match
26190Texas Stars2Cincinnati Cyclones1WSommaire du match
28206Iowa Wild0Texas Stars2WSommaire du match
30219Texas Stars3Hamilton Bulldogs0WSommaire du match
32235Texas Stars2Flint Michigan Tropics0WSommaire du match
34246Flint Michigan Tropics3Texas Stars4WXXSommaire du match
36263Texas Stars1San Diego Gulls4LSommaire du match
38275Texas Stars0Lehigh Valley Phantoms5LSommaire du match
39284Rhode Island Red Army5Texas Stars3LSommaire du match
41301Texas Stars3Charlotte Checkers2WSommaire du match
43316Kimberley Dynamiters3Texas Stars1LSommaire du match
47343Cincinnati Cyclones3Texas Stars1LSommaire du match
49356Texas Stars2Hartford Wolf Pack5LSommaire du match
51372Grand Rapids Griffins2Texas Stars1LSommaire du match
53385Texas Stars5Prince George Cougars4WSommaire du match
56404Ontario Reign0Texas Stars4WSommaire du match
58417Texas Stars2Cincinnati Cyclones3LSommaire du match
60435Syracuse Crunch4Texas Stars3LSommaire du match
63455Texas Stars2Owen Sound Platers4LSommaire du match
65466Colorado Eagles2Texas Stars3WXXSommaire du match
68494Victoria Grizzlies3Texas Stars6WSommaire du match
73522Wilkes Scranton Penguins-Texas Stars-
75537Texas Stars-Newfoundland Regiment-
77553Stouffville Clippers-Texas Stars-
79572Texas Stars-Hamilton Bulldogs-
81582Texas Stars-Syracuse Crunch-
82593Kitchener Rangers-Texas Stars-
85613Texas Stars-Rhode Island Red Army-
86623Charlestown Chiefs-Texas Stars-
89645Texas Stars-Henderson Silver Knights-
91656Cairo Fighting Ice Camels-Texas Stars-
93671Texas Stars-Grand Rapids Griffins-
95687Bridgeport Islanders-Texas Stars-
97702Texas Stars-Manitoba Moose-
99715Saskatchewan Snatchsniffers-Texas Stars-
102737Texas Stars-Palm Springs Navigators-
104748Flint Michigan Tropics-Texas Stars-
106765Texas Stars-Victoria Grizzlies-
107778Texas Stars-Flint Michigan Tropics-
109789Manitoba Moose-Texas Stars-
112812Texas Stars-Vancouver Millionaires-
113820Colorado Eagles-Texas Stars-
116841Tucson Roadrunners-Texas Stars-
117849Texas Stars-Kimberley Dynamiters-
120867Texas Stars-Kitchener Rangers-
122879Hartford Wolf Pack-Texas Stars-
125906Newfoundland Regiment-Texas Stars-
127918Texas Stars-Cairo Fighting Ice Camels-
130942Manitoba Moose-Texas Stars-
134968Bobcaygeon Bullets-Texas Stars-
137989Texas Stars-Stouffville Clippers-
1391002Vancouver Millionaires-Texas Stars-
1411015Texas Stars-Saskatchewan Snatchsniffers-
1431032Lehigh Valley Phantoms-Texas Stars-
1461046Texas Stars-Saskatchewan Snatchsniffers-
1481060Texas Stars-Iowa Wild-
1491070Texas Stars-Bobcaygeon Bullets-
1511079Palm Springs Navigators-Texas Stars-
1531100Iowa Wild-Texas Stars-
1561115Texas Stars-Tucson Roadrunners-
1581132Prince George Cougars-Texas Stars-
1591142Texas Stars-Charlestown Chiefs-
1631164Charlotte Checkers-Texas Stars-
1641174Texas Stars-Wilkes Scranton Penguins-
1671193Texas Stars-Colorado Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681204Henderson Silver Knights-Texas Stars-
1701215Texas Stars-Bridgeport Islanders-
1721229Texas Stars-Iowa Wild-
1741243San Diego Gulls-Texas Stars-
1781266Hamilton Bulldogs-Texas Stars-
1791272Texas Stars-Ontario Reign-
1841298Owen Sound Platers-Texas Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
467,908$ 1,288,000$ 1,288,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 467,908$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 119 6,851$ 815,269$




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
1Eetu Liukas11237468368617424233011.21%32168715.061781300024252.37%10.9804
2Lukas Rousek5126305602710412524110.79%1798719.3569155700014160.39%11.1323
3Topi Niemela111114455-1102165961179.40%120193617.4447114200000131.58%00.5700
4Matthew Strome7017375414371131111819.39%23122117.45711184000043047.93%10.8816
5Alexander Holtz5927265315489310924311.11%16106818.11511165600012047.59%10.9928

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
1Devon Levi80512260.9192.7148318521827020310.81332
2Eetu Makiniemi3016940.8923.661769201089990000.73719
3Joel Blomqvist2110830.9172.80124143587000000.5569
4Spencer Knight42200.9282.51239011013900000

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
Saison régulière
202382352603459286280641181002335149142741171601124137138-199286529815221148381113010959970103292290280990419703687620.65%3756881.87%31454308747.10%1480308348.01%619131047.25%1980138520146041013498
2024824134030223302963441182001002161154741231402020169142279433062295202121122826348811071183117339314989489319793625515.19%3648277.47%11641329949.74%1484305948.51%644138846.40%193413812036590975471
2025311216000308691-5165900020494901577000103742-530861462320435252359093112982942210432972456871142723.68%1161487.93%1557105852.65%567108352.35%23546150.98%787546698218388199
Total Saison régulière1958876064101170266735984139033573593451497473703154343322212237021297199928270230186227407237724512499153709420002042463684415818.72%85516480.82%53652744449.06%3531722548.87%1498315947.42%470333134749141323781170
Séries éliminatoires
20221367000004653-7743000002829-1624000001824-61246831290015181124971761601441753613517233444920.45%631379.37%224150347.91%25250350.10%11522950.22%3182213269115882
2023106400000363245410000019163523000001716112366710301102150411129134148037596119253471123.40%48785.42%020440450.50%19836753.95%6615442.86%2431662317312461
2024127500000464155410000023167734000002325-21446911370021121214911641641521150213113229039717.95%571377.19%118745641.01%24252046.54%9020244.55%2471693399514766
Total Séries éliminatoires35191600000128126217125000007061918711000005865-73812824136901465128313994694584442814133624238771302720.77%1683380.36%3632136346.37%692139049.78%27158546.32%809557898260430209

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
1Matthew Strome2310112102950499410.64%447220.541562300031057.06%00.8900
2Rasmus Sandin13781521626273718.92%2227821.39404210111000%01.0800
3Lassi Thomson23411150375038567.14%2546720.34246341012000%00.6400
4Pavol Regenda2341014-6145532755.33%146020.01235910131147.33%00.6100
5Alexander Holtz10358-162110339.09%120520.58134400020065.00%00.7800

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
1Devon Levi65100.9322.34359211420500000
2Eetu Makiniemi73400.9084.17432003032700000
3Olle Eriksson Ek31200.8695.67180001713000000