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Texas
GP: 82 | W: 43 | L: 33 | OTL: 6 | P: 92
GF: 317 | GA: 306 | PP%: 21.69% | PK%: 77.34%
DG: Ben Dicaire | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Texas
43-33-6, 92pts
1
FINAL
3 Eagles
46-29-7, 99pts
Team Stats
W1SéquenceW1
22-17-2Fiche domicile23-16-2
21-16-4Fiche domicile23-13-5
5-5-0Derniers 10 matchs3-7-0
3.87Buts par match 3.91
3.73Buts contre par match 3.90
21.69%Pourcentage en avantage numérique25.75%
77.34%Pourcentage en désavantage numérique79.61%
Wilkes-Barre/Scranton
38-38-6, 82pts
1
FINAL
3 Texas
43-33-6, 92pts
Team Stats
L5SéquenceW1
19-19-3Fiche domicile22-17-2
19-19-3Fiche domicile21-16-4
3-6-1Derniers 10 matchs5-5-0
3.79Buts par match 3.87
4.15Buts contre par match 3.73
20.52%Pourcentage en avantage numérique21.69%
75.91%Pourcentage en désavantage numérique77.34%
Meneurs d'équipe
Buts
Darren Helm
34
Passes
Brandon Pirri
55
Points
Kyle Rau
82
Plus/Moins
Alexander Steen
18
Victoires
Steve Mason
21
Pourcentage d’arrêts
Brian Elliott
0.966

Statistiques d’équipe
Buts pour
317
3.87 GFG
Tirs pour
3764
45.90 Avg
Pourcentage en avantage numérique
21.7%
82 GF
Début de zone offensive
42.8%
Buts contre
306
3.73 GAA
Tirs contre
3502
42.71 Avg
Pourcentage en désavantage numérique
77.3%%
75 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralBen Dicaire
EntraîneurBob Boughner
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2Travis Zajac


Informations de l’aréna

Capacité3,000
Assistance2,266
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs27


Historique d'équipe

Saison actuelle43-33-6 (92PTS)
Historique138-93-13 (0.566%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)6-5
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 moyen
1Chris StewartXX100.00693191528076896579656662847962335000341975,100$
2Brandon PirriXXX100.00693390717480867482736958886357405000312900,000$
3Andrew CoglianoXXX100.006025947372699568576771667784832150003521,270,000$
4Darren HelmX100.006821927473788866706870718592932750003511,512,000$
5Alexander SteenXXX100.00613292537673787277677074798881950003821,210,000$
6Tom PyattXXX100.00652092557171876549657071868081750003521,110,000$
7Andrei LoktionovXX100.00652996707376827666737268796055275000321999,000$
8Jordan SzwarzXX100.00723083667670777171687065736357265000312800,000$
9Travis Zajac (A)X100.007731945074648367396571758088751350003711,300,000$
10Kyle RauXXX100.00713082806477827568697561755447385000294950,000$
11Cole SmithX100.009060827485768763706666777553535450002611,510,000$
12Austin WatsonXX100.00889062748871946370626974756767425000303991,000$
13Justin SchultzX100.006236897682859660505854836461544350003221,210,000$
14Ryan SuterX100.00613891536885995731525089659693285000372851,000$
15Gabriel Carlsson (R)X100.00763185739081825451565187774945635000251800,000$
16Matt IrwinX100.006134845975779653505053905667653250003411,101,000$
17Jeff SchultzX100.005832854385688844324445897292802250003621,210,000$
18Patrik NemethX100.00743068688478815250514989735552385000301900,000$
Rayé
1Jiri SekacXX100.00642994767276877171676763805045425000301850,000$
2Gavin BayreutherX100.007825897683809943704940867559595250002811,510,000$
MOYENNE D’ÉQUIPE100.0069348766777688636062627576706533500
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 moyen
1Steve Mason100.00647178797388888888727381773950003511,301,000$
2Brian Elliott99.0067818978768587868674749999195000381500,000$
Rayé
1Matt Keetley100.0056808383718889898969729691125000371700,000$
MOYENNE D’ÉQUIPE99.676277838073878888887273928923500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner93857884899175CAN5121,500,000$


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
1Kyle RauTexas (DAL)C/LW/RW803151824280851074061162857.64%7153919.2472027101292000014243.40%47000011.0700000542
2Brandon PirriTexas (DAL)C/LW/RW81245579-930087166273711868.79%9151518.708212976303000184054.45%224800001.0402000332
3Justin SchultzTexas (DAL)D81185270548105578208771358.65%102164820.3610192911530500006210%000000.8500011213
4Andrei LoktionovTexas (DAL)C/LW79204767-102606976353902365.67%16148518.806152193290000002144.93%50300000.9000000151
5Darren HelmTexas (DAL)LW81343064-130083873118322210.93%14129515.997714521780004424055.88%13600000.9911000215
6Gabriel CarlssonTexas (DAL)D77164662-873513384205661287.80%119167421.75914231092740001112200%000000.7400000622
7Jordan SzwarzTexas (DAL)C/RW8131306112240111512697717811.52%11152018.771091971294000005049.09%27500000.8000000242
8Andrew CoglianoTexas (DAL)C/LW/RW8123335611405287273652038.42%8124215.34281046149000005143.18%40300000.9000000214
9Michael McLeodDallasC46143549-78220117136239661705.86%689619.4961319701730001171060.13%151000001.0900121423
10Ryan SuterTexas (DAL)D80192746-957156064190689410.00%157178622.339817912470114260410%000000.5200210031
11Alexander SteenTexas (DAL)C/LW/RW8020264618160491221954515510.26%18119414.93257238200092124154.55%147400000.7700000342
12Patrik NemethTexas (DAL)D8093645157401387210335828.74%166144318.0505520851124242020%000000.6200000023
13Matt IrwinTexas (DAL)D771027371453155069136491077.35%137164921.423710512220005231120%000000.4500003202
14Tom PyattTexas (DAL)C/LW/RW7914152962805658158391118.86%15100612.741012210002292136.74%41100000.5802000113
15Logan StanleyDallasD235141910380732640133712.50%4244719.462241845000050010%000000.8500000123
16Austin WatsonTexas (DAL)LW/RW8188167741068339234608.70%175376.6300022011152140159.26%5400000.6000001000
17Travis ZajacTexas (DAL)C8187156200206875156310.67%96888.500001610162491138.89%115700000.4402000000
18Cole SmithTexas (DAL)LW815813729555437925676.33%115727.0600000000122511147.44%7800000.4500100012
19Gavin BayreutherTexas (DAL)D33099-420024173311270%3946214.0000017000022000%000000.3900000000
20Chris StewartTexas (DAL)LW/RW35358310044105118345.88%545913.13000417000000059.38%3200000.3500000000
21Jeff SchultzTexas (DAL)D353586201015113416248.82%5356116.040007220002109000%000000.2800011001
22Jiri SekacTexas (DAL)LW/RW601110024144110%47111.9400000000000020.00%500000.2800000000
23Matthew TkachukDallasLW/RW1011080533020%02020.55011010000000100.00%100000.9700000000
Statistiques d’équipe totales ou en moyenne14593155688836780290145114723740108326178.42%9652371916.26821542369533024235662065421650.73%875700010.7417457343641
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
1Steve MasonTexas (DAL)44211830.9063.9625641011691796012004330420
2Matt KeetleyTexas (DAL)36181430.9193.3420642011514230120.50023441510
3Brian ElliottTexas (DAL)33000.9661.621852051460001.000435210
Statistiques d’équipe totales ou en moyenne83423260.9143.6048141412893365024680761140


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Alexander SteenTexas (DAL)C/LW/RW381984-03-01No213 Lbs6 ft0NoNoNoNo2Pro & Farm1,210,000$7,076$0$0$No1,210,000$Lien
Andrei LoktionovTexas (DAL)C/LW321990-05-30No201 Lbs5 ft11NoNoNoNo1Pro & Farm999,000$5,842$0$0$NoLien
Andrew CoglianoTexas (DAL)C/LW/RW351987-06-14No186 Lbs5 ft10NoNoNoNo2Pro & Farm1,270,000$7,427$0$0$No1,270,000$Lien
Austin WatsonTexas (DAL)LW/RW301992-01-13 16:39:23No204 Lbs6 ft4NoNoNoNo3Pro & Farm991,000$5,795$0$0$No991,000$991,000$
Brandon PirriTexas (DAL)C/LW/RW311991-04-10No193 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$5,263$0$0$No900,000$Lien
Brian ElliottTexas (DAL)G381984-01-10 17:37:02No198 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$2,924$0$0$No
Chris StewartTexas (DAL)LW/RW341987-10-30No235 Lbs6 ft2NoNoNoNo1Pro & Farm975,100$5,702$0$0$NoLien
Cole SmithTexas (DAL)LW261995-10-28 16:30:52No195 Lbs6 ft3NoNoNoNo1Pro & Farm1,510,000$8,830$0$0$No
Darren HelmTexas (DAL)LW351987-01-21No188 Lbs5 ft11NoNoNoNo1Pro & Farm1,512,000$8,842$0$0$No
Gabriel CarlssonTexas (DAL)D251997-01-02 04:52:44Yes203 Lbs6 ft3NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Gavin BayreutherTexas (DAL)D281994-05-12 06:10:36No196 Lbs6 ft1NoNoNoNo1Pro & Farm1,510,000$8,830$0$0$No
Jeff SchultzTexas (DAL)D361986-02-25No245 Lbs6 ft6NoNoNoNo2Pro & Farm1,210,000$7,076$0$0$No1,210,000$
Jiri SekacTexas (DAL)LW/RW301992-06-10No202 Lbs6 ft2NoNoNoNo1Pro & Farm850,000$4,971$0$0$NoLien
Jordan SzwarzTexas (DAL)C/RW311991-05-14No203 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$4,678$0$0$No800,000$Lien
Justin SchultzTexas (DAL)D321990-06-07No199 Lbs6 ft2NoNoNoNo2Pro & Farm1,210,000$7,076$0$0$No1,210,000$Lien
Kyle RauTexas (DAL)C/LW/RW291992-10-24No179 Lbs5 ft8NoNoNoNo4Pro & Farm950,000$5,556$0$0$No950,000$950,000$950,000$Lien
Matt IrwinTexas (DAL)D341987-11-29No217 Lbs6 ft2NoNoNoNo1Pro & Farm1,101,000$6,439$0$0$NoLien
Matt KeetleyTexas (DAL)G371985-01-10 23:37:02No230 Lbs6 ft2NoNoNoNo1Pro & Farm700,000$4,094$0$0$No
Patrik NemethTexas (DAL)D301992-02-08No238 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Ryan SuterTexas (DAL)D371985-01-21No203 Lbs6 ft1NoNoNoNo2Pro & Farm851,000$4,977$0$0$No851,000$Lien
Steve MasonTexas (DAL)G351987-01-10 11:37:02No206 Lbs6 ft3NoNoNoNo1Pro & Farm1,301,000$7,608$0$0$No
Tom PyattTexas (DAL)C/LW/RW351987-02-14No198 Lbs6 ft0NoNoNoNo2Pro & Farm1,110,000$6,491$0$0$No1,110,000$
Travis ZajacTexas (DAL)C371985-05-05No213 Lbs6 ft2NoNoNoNo1Pro & Farm1,300,000$7,602$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2332.83206 Lbs6 ft11.571,063,483$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle RauBrandon PirriJordan Szwarz36023
2Darren HelmAndrei LoktionovAndrew Cogliano34023
3Tom PyattAlexander SteenChris Stewart26041
4Cole SmithTravis ZajacAustin Watson4050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinGabriel Carlsson36032
2Justin SchultzRyan Suter34032
3Patrik NemethJeff Schultz16041
4Patrik NemethJeff Schultz14050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle RauBrandon PirriJordan Szwarz50005
2Darren HelmAndrei LoktionovAndrew Cogliano50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinGabriel Carlsson50014
2Justin SchultzRyan Suter50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Travis ZajacCole Smith50041
2Alexander SteenAustin Watson50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinPatrik Nemeth55050
2Jeff SchultzRyan Suter45050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Travis Zajac50050Matt IrwinPatrik Nemeth55050
2Cole Smith50050Jeff SchultzRyan Suter45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriKyle Rau50023
2Alexander SteenAndrei Loktionov50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinGabriel Carlsson50041
2Justin SchultzRyan Suter50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle RauBrandon PirriJordan SzwarzGabriel CarlssonJustin Schultz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithTravis ZajacAustin WatsonJeff SchultzRyan Suter
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Pirri, Andrew Cogliano, Darren HelmJordan Szwarz, Kyle RauAlexander Steen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrik Nemeth, Gabriel Carlsson, Justin SchultzRyan SuterJeff Schultz, Matt Irwin
Tirs de pénalité
Alexander Steen, Travis Zajac, Brandon Pirri, Darren Helm, Kyle Rau
Gardien
#1 : Brian Elliott, #2 : Steve Mason
Lignes d’attaque personnalisées en prolongation
Darren Helm, Kyle Rau, Andrei Loktionov, Jordan Szwarz, Brandon Pirri, Andrew Cogliano, Andrew Cogliano, Austin Watson, Alexander Steen, Tom Pyatt, Travis Zajac
Lignes de défense personnalisées en prolongation
Jeff Schultz, Ryan Suter, Matt Irwin, Gabriel Carlsson, 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
1Abbotsford4210100021165220000001165201010001010060.750213657001189610031731228126012443916346286118422.22%130100.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
2Bakersfield43100000171432200000010732110000077060.750173148001189610032131228126012443915035516921523.81%15380.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
3Bridgeport40400000918-920200000510-52020000048-400.00091625101189610031841228126012443920070558115640.00%17476.47%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
4Charlotte220000001064110000004311100000063341.000101828001189610038412281260124439863383814642.86%4175.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
5Cleveland211000004401010000013-21100000031220.50048120011896100356122812601244391123126377228.57%13284.62%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
6Coachella Valley220000001293110000006421100000065141.00012223400118961003108122812601244398625143812325.00%6183.33%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
7Eagles412010001213-12010100078-12110000055040.500122133101189610032031228126012443916755537522313.64%16475.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
8Grand Rapids21100000651110000005141010000014-320.500610160011896100310412281260124439692414411317.69%6350.00%11993376852.89%1736361648.01%723142550.74%1968132218666371109561
9Hartford2200000014591100000041311000000104641.0001426400011896100310312281260124439882620379444.44%100100.00%11993376852.89%1736361648.01%723142550.74%1968132218666371109561
10Hershey20200000613-71010000046-21010000027-500.000691510118961003731228126012443911230184110220.00%9277.78%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
11Iowa642000002217532100000118332100000119280.667224062001189610032391228126012443922255611062528.00%23386.96%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
12Laval20200000710-31010000056-11010000024-200.00071219001189610039012281260124439882212449333.33%6350.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
13Lehigh Valley311001001315-21010000036-321000100109130.500132336001189610031371228126012443915045304814214.29%15380.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
14Manitoba65100000292093300000018711321000001113-2100.8332956850011896100330012281260124439274928010728725.00%22672.73%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
15Ontario413000001219-720200000410-62110000089-120.250122234001189610031661228126012443916941326414428.57%16475.00%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
16Providence210001008801000010045-11100000043130.75081422001189610036512281260124439932625385120.00%11281.82%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
17Rochester21000100651110000003121000010034-130.75061016001189610038612281260124439923128456116.67%14378.57%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
18Rockford641000012316733000000161063110000176190.750234164011189610033111228126012443924062459829827.59%19763.16%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
19San Diego43100000191542110000098122000000107360.750193554001189610032021228126012443916741415217317.65%18477.78%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
20San Jose421001001516-120100100711-42200000085350.625152641001189610032011228126012443915940337522313.64%14192.86%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
21Springfield614001002132-11303000001016-6311001001116-530.2502141620011896100325212281260124439264745910426415.38%291065.52%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
22Syracuse72400010252234120001013121312000001210260.4292543681011896100331312281260124439265676112930620.00%26580.77%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
23Wilkes-Barre/Scranton2110000068-2110000003121010000037-420.500691500118961003101122812601244398621183412216.67%9455.56%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
Total8240330251131730611412017012101631501341201601301154156-2920.56131756988641118961003376412281260124439350299281214623788221.69%3317577.34%21993376852.89%1736361648.01%723142550.74%1968132218666371109561
_Since Last GM Reset8240330251131730611412017012101631501341201601301154156-2920.56131756988641118961003376412281260124439350299281214623788221.69%3317577.34%21993376852.89%1736361648.01%723142550.74%1968132218666371109561
_Vs Conference5528210221121620016281411011101161031327141001101100973650.5912163926082111896100325731228126012443922406085449402524919.44%2114777.73%01993376852.89%1736361648.01%723142550.74%1968132218666371109561
_Vs Division281612001111079891496000106249131476001014549-4360.6431071993061111896100313051228126012443911673382984901302418.46%1093072.48%01993376852.89%1736361648.01%723142550.74%1968132218666371109561

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292W131756988637643502992812146241
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240332511317306
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120171210163150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120161301154156
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
3788221.69%3317577.34%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
12281260124439118961003
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
1993376852.89%1736361648.01%723142550.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1968132218666371109561


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
13Syracuse3Texas5BWSommaire du match
423Texas0Iowa4ALSommaire du match
632Texas1Springfield6ALSommaire du match
743Texas4Syracuse5ALSommaire du match
849Iowa2Texas3BWSommaire du match
1163Springfield5Texas4BLSommaire du match
1380Iowa2Texas6BWSommaire du match
1587Texas4Manitoba1AWSommaire du match
17103Rockford4Texas5BWSommaire du match
20121Texas5San Diego4AWSommaire du match
21125Texas1Manitoba9ALSommaire du match
23137Manitoba3Texas5BWSommaire du match
25152Bakersfield3Texas5BWSommaire du match
27162Texas3Rockford0AWSommaire du match
29175Texas3Ontario6ALSommaire du match
31187Rockford2Texas6BWSommaire du match
33200Ontario4Texas3BLSommaire du match
34208Texas4Providence3AWSommaire du match
37225Texas2Rockford3ALXXSommaire du match
38233Providence5Texas4BLXSommaire du match
40247Texas3Wilkes-Barre/Scranton7ALSommaire du match
42258Ontario6Texas1BLSommaire du match
44272Texas5Ontario3AWSommaire du match
47285Eagles4Texas5BWXSommaire du match
48292Texas2Laval4ALSommaire du match
51308San Jose6Texas5BLXSommaire du match
53321Texas2Hershey7ALSommaire du match
55327Abbotsford2Texas6BWSommaire du match
57342Texas5Lehigh Valley3AWSommaire du match
58352Lehigh Valley6Texas3BLSommaire du match
61369Manitoba1Texas8BWSommaire du match
63379Texas6Bakersfield3AWSommaire du match
65391Texas5Lehigh Valley6ALXSommaire du match
66401Bakersfield4Texas5BWSommaire du match
69416San Diego6Texas5BLSommaire du match
70422Texas10Hartford4AWSommaire du match
73439Bridgeport5Texas2BLSommaire du match
74449Texas1Bakersfield4ALSommaire du match
76459Texas2Rockford3ALSommaire du match
78471Springfield5Texas4BLSommaire du match
80487Texas1Grand Rapids4ALSommaire du match
81494Syracuse3Texas2BLSommaire du match
83506Texas6Springfield5AWSommaire du match
86518Texas4San Jose2AWSommaire du match
87525San Diego2Texas4BWSommaire du match
90542Coachella Valley4Texas6BWSommaire du match
92557Texas4Springfield5ALXSommaire du match
94567Texas5Abbotsford4AWXSommaire du match
95574San Jose5Texas2BLSommaire du match
98590Texas5Abbotsford6ALSommaire du match
100597Abbotsford4Texas5BWSommaire du match
102609Texas6Coachella Valley5AWSommaire du match
103619Eagles4Texas2BLSommaire du match
105636Rochester1Texas3BWSommaire du match
107644Texas3Rochester4ALXSommaire du match
108656Texas6Iowa4AWSommaire du match
110666Texas5San Diego3AWSommaire du match
111672Rockford4Texas5BWSommaire du match
114689Laval6Texas5BLSommaire du match
117707Manitoba3Texas5BWSommaire du match
119717Texas6Manitoba3AWSommaire du match
121729Texas6Syracuse1AWSommaire du match
123740Grand Rapids1Texas5BWSommaire du match
125754Texas4San Jose3AWSommaire du match
127762Syracuse3Texas2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128771Texas2Syracuse4ALSommaire du match
131782Texas1Bridgeport4ALSommaire du match
133790Springfield6Texas2BLSommaire du match
136808Hartford1Texas4BWSommaire du match
140828Texas6Charlotte3AWSommaire du match
141834Iowa4Texas2BLSommaire du match
144847Texas5Iowa1AWSommaire du match
145858Syracuse3Texas4BWXXSommaire du match
146864Texas3Cleveland1AWSommaire du match
149876Texas3Bridgeport4ALSommaire du match
150886Hershey6Texas4BLSommaire du match
154907Cleveland3Texas1BLSommaire du match
157924Bridgeport5Texas3BLSommaire du match
159937Texas4Eagles2AWSommaire du match
161949Charlotte3Texas4BWSommaire du match
164961Texas1Eagles3ALSommaire du match
169979Wilkes-Barre/Scranton1Texas3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance61,91430,993
Assistance PCT75.50%75.59%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2266 - 75.53% 132,547$5,434,411$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,965,338$ 2,446,010$ 2,446,010$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,304$ 2,474,102$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 23,076$ 23,076$




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
1Kyle Rau24094131225299226532811168.42%23457519.07184664248000012544.04%20.9800
2Brandon Pirri24460149209-12902454397498.01%29455818.68195473191000211154.08%00.9218
3Andrei Loktionov22566125191-6641902749377.04%41418018.58163652228112512445.42%00.9122
4Justin Schultz24447144191211301522145458.62%283491620.152844723020001520%10.7800
5Jordan Szwarz2448999188479931120176111.70%32442718.15233154183000012250.12%00.8500

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
1Steve Mason116594570.9063.72678224242044900251.0009
2Matt Keetley100563560.9193.1157988130037070360.75016
3Thatcher Demko28151120.9232.451641256786700000
4Al Montoya2010900.8983.42115862666450011.0004
5Brian Elliott66000.9661.6237040102920001.0008

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
Saison régulière
20823927073602752225341239032401511024941161804120124120410727546774236101818015277191993188158262976771613683415315.54%3044186.51%51608316250.85%1494306948.68%668127252.52%2008136718826271081548
218240330251131730611412017012101631501341201601301154156-29231756988641118961003376412281260124439350299281214623788221.69%3317577.34%21993376852.89%1736361648.01%723142550.74%1968132218666371109561
218240330251131730611412017012101631501341201601301154156-29231756988641118961003376412281260124439350299281214623788221.69%3317577.34%21993376852.89%1736361648.01%723142550.74%1968132218666371109561
Total Saison régulière246119930111382909834751236343056604774027512356500672243243202919091605251411833727328021102993375345133691369633275123404292109721719.78%96619180.23%955941069852.29%49661030148.21%2114412251.29%594540135615190232991672
Séries éliminatoires
2011650000036324642000001915452300000171701236639900148140375130116115143689811121840922.50%511178.43%019944245.02%19643944.65%11120055.50%2851942628514876
Total Séries éliminatoires11650000036324642000001915452300000171701236639900148140375130116115143689811121840922.50%511178.43%019944245.02%19643944.65%11120055.50%2851942628514876

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
1Michael McLeod11681441429234912.24%021719.801451200000058.58%01.2900
2Kyle Rau115712446143414.71%020919.052351000001162.50%01.1500
3Jordan Szwarz11358426102412.50%120418.57112800002030.77%00.7800
4Jonas Siegenthaler11178-3122410214.76%1626023.70033140000000%00.6100
5Logan Stanley112577183181315.38%1525222.9712350000000%00.5500

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
1Thatcher Demko64020.9202.30391001518700000
2Alex Nedeljkovic52210.9063.36304001718100000