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Connexion

Texas
GP: 82 | W: 44 | L: 28 | OTL: 10 | P: 98
GF: 284 | GA: 250 | PP%: 23.03% | PK%: 82.20%
DG: Ben Dicaire | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Lehigh Valley
39-34-9, 87pts
3
FINAL
1 Texas
44-28-10, 98pts
Team Stats
W1SéquenceL2
21-15-5Fiche domicile21-14-6
18-19-4Fiche domicile23-14-4
3-5-2Derniers 10 matchs5-5-0
3.21Buts par match 3.46
3.28Buts contre par match 3.05
17.07%Pourcentage en avantage numérique23.03%
82.78%Pourcentage en désavantage numérique82.20%
Texas
44-28-10, 98pts
3
FINAL
6 Ontario
53-20-9, 115pts
Team Stats
L2SéquenceW5
21-14-6Fiche domicile28-7-6
23-14-4Fiche domicile25-13-3
5-5-0Derniers 10 matchs8-2-0
3.46Buts par match 3.60
3.05Buts contre par match 2.63
23.03%Pourcentage en avantage numérique25.07%
82.20%Pourcentage en désavantage numérique82.96%
Meneurs d'équipe
Devin ShoreButs
Devin Shore
40
Justin SchultzPasses
Justin Schultz
49
Devin ShorePoints
Devin Shore
88
Andrew CoglianoPlus/Moins
Andrew Cogliano
19
Victoires
Joel Hofer
32
Pourcentage d’arrêts
Joel Hofer
0.914

Statistiques d’équipe
Buts pour
284
3.46 GFG
Tirs pour
3004
36.63 Avg
Pourcentage en avantage numérique
23.0%
76 GF
Début de zone offensive
42.0%
Buts contre
250
3.05 GAA
Tirs contre
2833
34.55 Avg
Pourcentage en désavantage numérique
82.2%%
55 GA
Début de la zone défensive
40.6%
Informations de l'équipe

Directeur généralBen Dicaire
EntraîneurBob Boughner
DivisionCentrale
ConférenceConference ouest
CapitaineRyan Suter
Assistant #1Cal Clutterbuck
Assistant #2Andrew Cogliano


Informations de l’aréna

Capacité3,000
Assistance2,715
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs15


Historique d'équipe

Saison actuelle44-28-10 (98PTS)
Historique0-0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Brandon PirriXXX100.00693190687279867581756957886758355000321900,000$
2Andrew Cogliano (A)XXX100.005925956769669568546870657786851750003611,270,000$
3Devin ShoreXXX100.007330988086889673837174698360524950002831,310,000$
4Cal Clutterbuck (A)X100.0083269567837478637064637477828885000352850,000$
5Fabian Zetterlund (R)XX100.00863589868790997570727872774646745000232700,000$
6Alexander SteenXXX100.00603293487770787376687072799084650003911,210,000$
7Tom PyattXXX100.00621990507068876345636769868483450003611,110,000$
8Benoit-Olivier Groulx (R)XX100.00833092808776996580656569754343635000232700,000$
9Jordan SzwarzXX100.00723083637868787271697163736659225000321800,000$
10Kyle RauXXX100.00693183796476837665707659755751335000303950,000$
11Cole SmithX100.00855582738676876370666675755656485000273850,000$
12Austin WatsonXX100.00838362739070946170616672756968375000312991,000$
13Justin SchultzX100.006236867480839762506056826463553850003311,210,000$
14Cody GoloubefX100.00733161628073805050524587766964335000332851,000$
15Oscar FantenbergX100.006933767081798553505351897664653850003131,281,000$
16Ryan Suter (C)X100.00613686486582995731515190649996245000381851,000$
17Jeff SchultzX100.005832853985658842324144897194831850003711,210,000$
18Gavin BayreutherX100.00722489758381994270464285746159465000291650,000$
Rayé
1Damien Giroux (R)X100.00413098747780996470646665754141605000232500,000$
2Steven LorentzXX100.00693291779676906690656764775443545000271651,000$
3Anton StralmanX100.00632980577374985150444585698275195000362851,000$
MOYENNE D’ÉQUIPE100.0069348667797690636361627476686435500
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
1Matt Keetley100.0055808383728988898969729994950003831,100,000$
2Joel Hofer (R)100.0068998086778584868680844444785000222600,000$
Rayé
1Darcy Kuemper100.0063918783808585858487767776475000333981,000$
MOYENNE D’ÉQUIPE100.006290838476868687867977737145500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner93857884899175CAN5211,500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Devin ShoreTexas (DAL)C/LW/RW804048882400821563349322711.98%12156819.601216287222000031195352.93%172500001.1203000754
2Kyle RauTexas (DAL)C/LW/RW823534696300901233269224410.74%4159019.4014122682262000005246.67%12000000.8700000546
3Brandon PirriTexas (DAL)C/LW/RW821945641022082165208641649.13%6161119.6671724372650000293152.69%226800000.7905000321
4Jordan SzwarzTexas (DAL)C/RW822932613440113852486117511.69%10150218.329122160255000003248.74%11900010.8100000342
5Justin SchultzTexas (DAL)D8211496092404788158521186.96%98172321.025202599263000020100%000000.7000000220
6Alexander SteenTexas (DAL)C/LW/RW822237597120361042165915110.19%8148118.0791322442250001421152.23%103200000.8016000225
7Fabian ZetterlundTexas (DAL)LW/RW4527255216455901002206720012.27%891920.443811411650001388147.12%10400001.1301100352
8Ryan SuterTexas (DAL)D8211334447915876514044787.86%147183422.377916632570002227110%000100.4800012302
9Oscar FantenbergTexas (DAL)D7163440115401096313031704.62%115157622.2031114651940000169010%000000.5100000112
10Andrew CoglianoTexas (DAL)C/LW/RW8212273919601374193491456.22%7119214.5416726118000000138.49%23900000.6512000024
11Cody GoloubefTexas (DAL)D828263468801565710132557.92%110158219.30448471830001229210%000000.4312000021
12Cole SmithTexas (DAL)LW8214193325410121681213210311.57%389510.9203322000031153156.00%7500100.7400110025
13Benoit-Olivier GroulxTexas (DAL)C/LW7581927122204987145381065.52%892512.340002800071431049.65%99500000.5800000012
14Austin WatsonTexas (DAL)LW/RW81121224-794101308113238999.09%1294711.7001153101151992150.42%35300000.5100200022
15Jeff SchultzTexas (DAL)D82101323-4400755890277311.11%140173321.14145231460000238110%000010.2700000114
16Gavin BayreutherTexas (DAL)D8251722240056405419369.26%88125315.290005180221110100%000000.3500000100
17Tom PyattTexas (DAL)C/LW/RW8210919-22073176283813.16%27368.981014111012734137.14%45500000.5216000011
18Owen PowerDallasD2161117-840312850234912.00%2949323.4856113682101172100%000000.6900000300
19Cal ClutterbuckTexas (DAL)RW8221012-1714035417320552.74%116297.6700000101132550050.77%6500000.3803000000
20Steven LorentzTexas (DAL)C/LW24033-820411147150%11174.8800000000000054.17%9600000.5122000000
21Damien GirouxTexas (DAL)C20011-30001720380%1924.6300000000000045.53%12300000.2200000000
22Anton StralmanTexas (DAL)D110001208134240%1118316.6500000000037000%00000000000000
Statistiques d’équipe totales ou en moyenne1494287504791617184014211555305388122139.40%8312459016.46811422237132730336402124421850.53%776900220.64630422343643
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 HoferTexas (DAL)57321960.9142.86342010216319040300.806315720865
2Matt KeetleyTexas (DAL)2712940.9103.2615472184929020002557222
Statistiques d’équipe totales ou en moyenne844428100.9132.98496712324728330503182771087


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 SteenTexas (DAL)C/LW/RW391984-03-01SWENo213 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,210,000$0$0$No---------------------------Lien
Andrew CoglianoTexas (DAL)C/LW/RW361987-06-14CANNo186 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,270,000$0$0$No---------------------------Lien / Lien NHL
Anton StralmanTexas (DAL)D361986-08-01SWENo197 Lbs5 ft11NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm851,000$0$0$No851,000$--------851,000$--------No--------Lien
Austin WatsonTexas (DAL)LW/RW311992-01-13USANo204 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm991,000$0$0$No991,000$--------991,000$--------No--------Lien NHL
Benoit-Olivier GroulxTexas (DAL)C/LW232000-02-06FRAYes198 Lbs6 ft2NoNoProspectNoNo22024-09-20FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Brandon PirriTexas (DAL)C/LW/RW321991-04-10CANNo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Cal ClutterbuckTexas (DAL)RW351987-11-18CANNo212 Lbs6 ft0NoNoFree AgentNoNo22024-09-21FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Cody GoloubefTexas (DAL)D331989-11-30CANNo203 Lbs6 ft1NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm851,000$0$0$No851,000$--------851,000$--------No--------Lien
Cole SmithTexas (DAL)LW271995-10-28USANo195 Lbs6 ft3NoNoN/ANoNo32024-09-16FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien NHL
Damien GirouxTexas (DAL)C232000-03-03CANYes179 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Darcy KuemperTexas (DAL)G331990-05-05CANNo220 Lbs6 ft5NoNoFree AgentNoNo32024-09-23FalseFalsePro & Farm981,000$0$0$No981,000$981,000$-------981,000$981,000$-------NoNo-------Lien / Lien NHL
Devin ShoreTexas (DAL)C/LW/RW281994-07-09CANNo212 Lbs6 ft1NoNoFree AgentNoNo32024-09-23FalseFalsePro & Farm1,310,000$0$0$No1,310,000$1,310,000$-------1,310,000$1,310,000$-------NoNo-------Lien / Lien NHL
Fabian ZetterlundTexas (DAL)LW/RW231999-08-25SWEYes220 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Gavin BayreutherTexas (DAL)D291994-05-12USANo196 Lbs6 ft1NoNoN/ANoNo12024-09-16FalseFalsePro & Farm650,000$0$0$No---------------------------
Jeff SchultzTexas (DAL)D371986-02-25CANNo245 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,210,000$0$0$No---------------------------
Joel HoferTexas (DAL)G222000-07-30CANYes179 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Jordan SzwarzTexas (DAL)C/RW321991-05-14CANNo203 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Justin SchultzTexas (DAL)D331990-06-07CANNo199 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,210,000$0$0$No---------------------------Lien / Lien NHL
Kyle RauTexas (DAL)C/LW/RW301992-10-24USANo179 Lbs5 ft8NoNoN/ANoNo3FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Matt KeetleyTexas (DAL)G381985-01-10CANNo230 Lbs6 ft2NoNoFree AgentNoNo32024-09-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------
Oscar FantenbergTexas (DAL)D311991-10-07SWENo210 Lbs6 ft0NoNoFree AgentNoNo32024-10-02FalseFalsePro & Farm1,281,000$0$0$No1,281,000$1,281,000$-------1,281,000$1,281,000$-------NoNo-------Lien
Ryan SuterTexas (DAL)D381985-01-21USANo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm851,000$0$0$No---------------------------Lien / Lien NHL
Steven LorentzTexas (DAL)C/LW271996-04-13CANNo208 Lbs6 ft4NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm651,000$0$0$No---------------------------Lien / Lien NHL
Tom PyattTexas (DAL)C/LW/RW361987-02-14CANNo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,110,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2431.33203 Lbs6 ft11.83932,375$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle RauBrandon PirriJordan Szwarz38023
2Alexander SteenDevin ShoreFabian Zetterlund36023
3Austin WatsonAndrew CoglianoTom Pyatt24032
4Cole SmithBenoit-Olivier GroulxCal Clutterbuck2131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff SchultzJustin Schultz38032
2Oscar FantenbergRyan Suter36032
3Cody GoloubefGavin Bayreuther16041
4Cody GoloubefGavin Bayreuther10050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle RauBrandon PirriJordan Szwarz50005
2Alexander SteenDevin ShoreFabian Zetterlund50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff SchultzJustin Schultz50014
2Oscar FantenbergRyan Suter50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Devin ShoreCal Clutterbuck50041
2Fabian ZetterlundAustin Watson50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff SchultzCody Goloubef50050
2Oscar FantenbergRyan Suter50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cal Clutterbuck50050Jeff SchultzCody Goloubef50050
2Fabian Zetterlund50050Oscar FantenbergRyan Suter50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriKyle Rau50023
2Devin ShoreFabian Zetterlund50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff SchultzJustin Schultz50041
2Oscar FantenbergRyan Suter50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle RauDevin ShoreFabian ZetterlundOscar FantenbergJustin Schultz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithAlexander SteenCal ClutterbuckRyan SuterJeff Schultz
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Pirri, Alexander Steen, Devin ShoreJordan Szwarz, Kyle RauTom Pyatt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gavin Bayreuther, Justin Schultz, Oscar FantenbergRyan SuterJeff Schultz, Cody Goloubef
Tirs de pénalité
Alexander Steen, Tom Pyatt, Brandon Pirri, Cal Clutterbuck, Devin Shore
Gardien
#1 : Joel Hofer, #2 : Matt Keetley
Lignes d’attaque personnalisées en prolongation
Devin Shore, Fabian Zetterlund, Kyle Rau, Jordan Szwarz, Brandon Pirri, Cal Clutterbuck, Andrew Cogliano, Alexander Steen, Tom Pyatt, Cole Smith
Lignes de défense personnalisées en prolongation
Jeff Schultz, Ryan Suter, Oscar Fantenberg, Cody Goloubef, Justin Schultz


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
1Abbotsford402001011119-820100001610-42010010059-420.25011182900107878310161100410259505516055497819526.32%17476.47%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
2Bakersfield412000101013-32100001041320200000612-640.5001017270110787831015010041025950551472635771900.00%15380.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
3Bridgeport30100101914-52000010179-21010000025-320.333917260010787831010710041025950551043326531317.69%10190.00%11662324251.26%1567313250.03%697133652.17%1933130719456271094547
4Charlotte32100000121112200000010731010000024-240.6671220320010787831010010041025950551144126586116.67%12466.67%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
5Cleveland43100000161152110000067-122000000104660.75016284400107878310128100410259505512728336715533.33%120100.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
6Coachella Valley4220000014104211000008622110000064240.50014213500107878310150100410259505514740327112325.00%14285.71%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
7Eagles4310000013112220000005232110000089-160.75013253800107878310146100410259505513531247315533.33%11190.91%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
8Grand Rapids30200100812-42010010069-31010000023-110.1678122000107878310113100410259505510134384411436.36%17570.59%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
9Hartford3200100016971000100054122000000115661.00016274300107878310101100410259505512033284220735.00%14285.71%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
10Hershey3210000014113211000009811100000053240.667142438001078783109710041025950551143751536116.67%20480.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
11Iowa440000002962322000000835220000002131881.0002953820110787831021010041025950558032226917529.41%11190.91%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
12Laval32100000141222110000078-11100000074340.66714264000107878310110100410259505510425203718422.22%10280.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
13Lehigh Valley32100000954211000004401100000051440.6679182700107878310911004102595055902035481119.09%100100.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
14Manitoba412010001214-2211000008712010100047-340.50012223400107878310161100410259505513343416420210.00%17476.47%11662324251.26%1567313250.03%697133652.17%1933130719456271094547
15Ontario412000101114-32110000056-12010001068-240.50011193000107878310139100410259505513141387311327.27%18572.22%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
16Providence44000000144101100000031233000000113881.00014264001107878310149100410259505512231206521628.57%9188.89%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
17Rochester302010001113-21010000035-22010100088020.3331118290010787831011810041025950551223828618562.50%14378.57%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
18Rockford42200000111102020000035-22200000086240.50011182900107878310143100410259505515641305819526.32%13376.92%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
19San Diego40300100816-82010010068-22020000028-610.1258152300107878310132100410259505511827226817317.65%10190.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
20San Jose4200110013103220000008532000110055070.87513213400107878310135100410259505513638347214428.57%10280.00%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
21Springfield4200010115114210000017522100010086260.75015233800107878310161100410259505515944224616318.75%11281.82%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
22Syracuse31100100660110000003122010010035-230.50061218001078783101081004102595055106333654700.00%15286.67%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
23Wilkes-Barre/Scranton311000108711010000035-22100001052340.667813210010787831094100410259505510731385915320.00%19384.21%01662324251.26%1567313250.03%697133652.17%1933130719456271094547
Total82372804733284250344119140131313412684118140342015012426980.5982844937770310787831030041004102595055283380272813903307623.03%3095582.20%21662324251.26%1567313250.03%697133652.17%1933130719456271094547
_Since Last GM Reset82372804733284250344119140131313412684118140342015012426980.5982844937770310787831030041004102595055283380272813903307623.03%3095582.20%21662324251.26%1567313250.03%697133652.17%1933130719456271094547
_Vs Conference4418160242214713512221170011268581022790231079772500.568147252399021078783101688100410259505515024183497491793821.23%1472880.95%11662324251.26%1567313250.03%697133652.17%1933130719456271094547
_Vs Division201250110180532710630000131229106201100493118280.70080141221011078783108211004102595055663191139310872022.99%631182.54%11662324251.26%1567313250.03%697133652.17%1933130719456271094547

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8298L228449377730042833802728139003
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237284733284250
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119141313134126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118143420150124
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3307623.03%3095582.20%2
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
1004102595055107878310
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
1662324251.26%1567313250.03%697133652.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1933130719456271094547


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
27Texas4Providence0WSommaire du match
417Charlotte3Texas5WSommaire du match
625Texas3Bakersfield6LSommaire du match
836Bakersfield0Texas2WSommaire du match
1151Texas0San Diego5LSommaire du match
1362San Diego5Texas4LXSommaire du match
1575Texas2Syracuse3LSommaire du match
1785Hershey3Texas5WSommaire du match
20103Coachella Valley1Texas5WSommaire du match
22114Texas5Hartford1WSommaire du match
24126San Jose3Texas5WSommaire du match
28139Texas3Springfield4LXSommaire du match
30153Grand Rapids5Texas4LXSommaire du match
32164Texas3San Jose2WXSommaire du match
34177Laval4Texas2LSommaire du match
35183Texas6Cleveland2WSommaire du match
38200Eagles1Texas2WSommaire du match
40213Texas2San Jose3LXSommaire du match
42220Texas4Rockford3WSommaire du match
43230Manitoba4Texas1LSommaire du match
46244Texas4Rockford3WSommaire du match
48253Rochester5Texas3LSommaire du match
50266Texas3Bakersfield6LSommaire du match
52276Grand Rapids4Texas2LSommaire du match
54290Texas6Hartford4WSommaire du match
56300Texas2Bridgeport5LSommaire du match
57308Laval4Texas5WSommaire du match
60322Texas11Iowa1WSommaire du match
61331San Diego3Texas2LSommaire du match
64346Manitoba3Texas7WSommaire du match
67364Texas10Iowa2WSommaire du match
68372Springfield3Texas2LXXSommaire du match
71384Texas5Lehigh Valley1WSommaire du match
74398Wilkes-Barre/Scranton5Texas3LSommaire du match
78413Texas2San Diego3LSommaire du match
80421Hartford4Texas5WXSommaire du match
82435Texas1Manitoba5LSommaire du match
84445Charlotte4Texas5WSommaire du match
86456Texas3Manitoba2WXSommaire du match
88468Texas5Hershey3WSommaire du match
90474Iowa0Texas3WSommaire du match
92487Texas1Syracuse2LXSommaire du match
94499Abbotsford5Texas2LSommaire du match
98517Coachella Valley5Texas3LSommaire du match
101537Texas2Grand Rapids3LSommaire du match
103544Syracuse1Texas3WSommaire du match
105555Texas3Providence1WSommaire du match
107566Springfield2Texas5WSommaire du match
110576Texas7Laval4WSommaire du match
113592Bakersfield1Texas2WXXSommaire du match
118611Texas3Wilkes-Barre/Scranton1WSommaire du match
119618Cleveland6Texas3LSommaire du match
122633San Jose2Texas3WSommaire du match
126646Texas4Cleveland2WSommaire du match
128659Eagles1Texas3WSommaire du match
131676Texas2Wilkes-Barre/Scranton1WXXSommaire du match
132684Hershey5Texas4LSommaire du match
135701Rockford2Texas1LSommaire du match
136708Texas4Providence2WSommaire du match
140727Abbotsford5Texas4LXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141735Texas2Charlotte4LSommaire du match
144749Ontario4Texas1LSommaire du match
146763Texas5Springfield2WSommaire du match
148773Iowa3Texas5WSommaire du match
151790Texas3Ontario2WXXSommaire du match
153798Rockford3Texas2LSommaire du match
154806Texas5Eagles3WSommaire du match
156820Bridgeport4Texas3LXSommaire du match
159836Texas4Abbotsford5LXSommaire du match
162847Ontario2Texas4WSommaire du match
164858Texas3Eagles6LSommaire du match
167870Bridgeport5Texas4LXXSommaire du match
168877Texas4Coachella Valley1WSommaire du match
171892Texas4Rochester5LSommaire du match
172899Cleveland1Texas3WSommaire du match
175915Texas2Coachella Valley3LSommaire du match
177923Lehigh Valley1Texas3WSommaire du match
179932Texas1Abbotsford4LSommaire du match
182944Texas4Rochester3WXSommaire du match
184952Providence1Texas3WSommaire du match
189970Lehigh Valley3Texas1LSommaire du match
192981Texas3Ontario6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance73,77537,538
Assistance PCT89.97%91.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2715 - 90.50% 130,810$5,363,212$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,699,727$ 2,237,700$ 2,237,700$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,535$ 2,199,827$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 19,266$ 0$




Texas 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 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 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 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 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