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Texas
GP: 82 | W: 52 | L: 27 | OTL: 3 | P: 107
GF: 275 | GA: 222 | PP%: 15.54% | PK%: 86.51%
DG: Ben Dicaire | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Texas
52-27-3, 107pts
2
FINAL
1 Toronto
38-37-7, 83pts
Team Stats
L1StreakW1
30-9-2Home Record21-15-5
22-18-1Away Record17-22-2
5-5-0Last 10 Games2-7-1
3.35Buts par match 3.16
2.71Buts contre par match 3.20
15.54%Pourcentage en avantage numérique18.95%
86.51%Pourcentage en désavantage numérique83.18%
San Jose
49-25-8, 106pts
2
FINAL
1 Texas
52-27-3, 107pts
Team Stats
W2StreakL1
24-15-2Home Record30-9-2
25-10-6Away Record22-18-1
8-1-1Last 10 Games5-5-0
3.77Buts par match 3.35
3.20Buts contre par match 2.71
18.69%Pourcentage en avantage numérique15.54%
81.25%Pourcentage en désavantage numérique86.51%
Meneurs d'équipe
Buts
Kyle Rau
32
Passes
Michael McLeod
43
Points
Jordan Szwarz
66
Plus/Moins
Michael McLeod
26
Victoires
Matt Keetley
20
Pourcentage d’arrêts
Thatcher Demko
0.923

Statistiques d’équipe
Buts pour
275
3.35 GFG
Tirs pour
2771
33.79 Avg
Pourcentage en avantage numérique
15.5%
53 GF
Début de zone offensive
42.1%
Buts contre
222
2.71 GAA
Tirs contre
2629
32.06 Avg
Pourcentage en désavantage numérique
86.5%%
41 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralBen Dicaire
EntraîneurBob Boughner
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1Andrew Cogliano
Assistant #2Corey Perry


Informations de l’aréna

Capacité3,000
Assistance2,280
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 50
Espoirs27


Historique d'équipe

Saison actuelle52-27-3 (107PTS)
Historique104-54-14 (0.605%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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
1Corey Perry (A)XX100.00874465557868896782656975838683335000361500,000$
2Chris StewartXX100.00693194568079886779656863847663375000332975,100$
3Brandon PirriXXX100.00693591737481857182716760876156465000303900,000$
4Andrew Cogliano (A)XXX100.006126937670729568606672687781802550003431,270,000$
5Darren HelmX100.006923957673808766706770738588933250003421,512,000$
6Brady TkachukX100.00995368909996977977778061873554785000211900,000$
7Tom PyattXXX100.006621945871748766526570738676781050003431,110,000$
8Andrei LoktionovXX100.00663096737278827667727470795751315000312999,000$
9Michael McLeod (R)X100.00885082858678887393717171754242685000232900,000$
10Jordan SzwarzXX100.00723086687571777072686865736153305000303800,000$
11Travis ZajacX100.008234915675678268436772778084731650003621,300,000$
12Kyle RauXXX100.00713081806577817470687562755246445000281900,000$
13Justin SchultzX100.006336927780879559506051836457544850003131,210,000$
14Jonas SiegenthalerX100.00734173859585925653565388814641695000241600,000$
15Logan Stanley (R)X100.00915074759881835050524292754242765000232900,000$
16Gabriel Carlsson (R)X100.00793089739178815050534686754545675000242800,000$
17Matt IrwinX100.006234876276799654505154895764633750003321,101,000$
18Jeff SchultzX100.006033854785728847324847897390802550003531,210,000$
Rayé
1Patrik NemethX100.00753168708680815150514789735152435000292900,000$
MOYENNE D’ÉQUIPE100.0074358470807887646263637577636043500
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
1Thatcher Demko (R)100.0070949593849497949592934949795000251800,000$
2Alex Nedeljkovic100.0075838285819394989992964948705000251800,000$
Rayé
1Steve Mason100.00657178917897989897828375714550003421,301,000$
MOYENNE D’ÉQUIPE100.007083859081959697978991585665500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner93857884899175CAN5031,500,000$


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
1Jordan SzwarzTexas (DAL)C/RW822739662351589992235515512.11%10138616.913131641207000062250.97%66900000.9500001258
2Michael McLeodTexas (DAL)C57224365264951441362036014310.84%14111619.5821012401880110886356.69%160000011.1612001577
3Kyle RauTexas (DAL)C/LW/RW8032296121360951143046924510.53%9149618.714610462300000234145.95%30900000.8200000454
4Andrei LoktionovTexas (DAL)C/LW6726315714120521222317216311.26%9121018.0746104217811251078245.88%105700000.9422000466
5Brandon PirriTexas (DAL)C/LW/RW82123951630071107203631765.91%11152818.643121539287000023152.89%138200000.6714000132
6Andrew CoglianoTexas (DAL)C/LW/RW8221305131604083236661928.90%6141317.24358381852024924541.25%30300010.7200000335
7Justin SchultzTexas (DAL)D82114051113410425812937818.53%79161819.74861472252000170100.00%000010.6300011321
8Darren HelmTexas (DAL)LW80291746-122052852425313711.98%13132416.55461028123011122468247.94%31500000.6924000333
9Logan StanleyTexas (DAL)D7312273981131516567112307010.71%116160722.025510602380221193100.00%000000.4900001422
10Tom PyattTexas (DAL)C/LW/RW8215233882406491156491179.62%20130115.88235148410162232040.07%90600000.5801000133
11Chris StewartTexas (DAL)LW/RW8212213313295753916540917.27%7132916.21257312010000100053.42%14600000.5024001112
12Matt IrwinTexas (DAL)D7311223334410436611232739.82%120161522.135510552380002207000.00%000000.4100002201
13Gabriel CarlssonTexas (DAL)D61425291128064446418526.25%84127620.92235262050110115100.00%000000.4500000101
14Patrik NemethTexas (DAL)D71521263720117536831327.35%99139619.67246221140001209100.00%000000.3700000103
15Jeff SchultzTexas (DAL)D82418222133529334221319.52%108136616.660114430000217100.00%000000.3200001020
16Troy BrouwerDallasRW7671017-1022063437525669.33%1180610.6100042400021521058.20%12200000.4201000000
17Jiri SekacDallasLW/RW644101428014255221527.69%43976.2101100000001056.00%2500000.7000000000
18Joakim RyanDallasD6611112300102122794.55%324056.1500013000139100.00%000000.5900000100
19Jakub VoracekDallasLW/RW27358-36011145013286.00%22649.800336370002341059.18%4900000.6000000000
20Corey PerryTexas (DAL)LW/RW1805501202514239130.00%01649.15000000001440052.94%1700000.6100000000
21Dalton ProutDallasD39145738104912187185.56%163017.73101370110170050.00%800000.3300002000
22Brad MaloneDallasC/LW63224-8801425317186.45%43735.93000213000040054.14%42300000.2100000000
23Erik CondraDallasLW/RW14224000061531413.33%21007.2100000000000166.67%600000.7900000000
24Travis ZajacTexas (DAL)C1831402010202181114.29%51679.28000000000481041.67%24000000.4800000000
25Brady TkachukTexas (DAL)LW4123-15512715496.67%07117.93011216000001080.00%500000.8400100010
26Anthony ManthaDallasLW/RW2022040128280.00%13618.2000000000010050.00%800001.1000000000
27Jonas SiegenthalerTexas (DAL)D4101-3809352520.00%48922.3310121600009000.00%000000.2200000000
Statistiques d’équipe totales ou en moyenne15312684797471577067013601389282580420099.49%7862416815.79519514657829004711382164481749.95%759000030.628181110364348
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
1Matt KeetleyDallas2820700.9192.52167041708610120.833122738122
2Steve MasonTexas (DAL)2817910.9092.98165240828980011.00092736210
3Thatcher DemkoTexas (DAL)28151120.9232.45164125678670000.00%0285531
4Al MontoyaDallas2010900.8983.42115862666450011.00042013210
Statistiques d’équipe totales ou en moyenne104623630.9132.796122168285327101425102921073


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 Nouveau joueur 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 10Link
Alex NedeljkovicTexas (DAL)G251996-01-07 06:21:46No191 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Andrei LoktionovTexas (DAL)C/LW311990-05-30No201 Lbs5 ft11NoNoNoNo2Pro & Farm999,000$0$0$No999,000$Lien
Andrew CoglianoTexas (DAL)C/LW/RW341987-06-14No186 Lbs5 ft10NoNoNoNo3Pro & Farm1,270,000$0$0$No1,270,000$1,270,000$Lien
Brady TkachukTexas (DAL)LW211999-09-16No204 Lbs6 ft5NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Brandon PirriTexas (DAL)C/LW/RW301991-04-10No193 Lbs6 ft0NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Chris StewartTexas (DAL)LW/RW331987-10-30No235 Lbs6 ft2NoNoNoNo2Pro & Farm975,100$0$0$No975,100$Lien
Corey PerryTexas (DAL)LW/RW361985-01-10No219 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$0$0$No
Darren HelmTexas (DAL)LW341987-01-21No188 Lbs5 ft11NoNoNoNo2Pro & Farm1,512,000$0$0$No1,512,000$
Gabriel CarlssonTexas (DAL)D241997-01-02 04:52:44Yes203 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Jeff SchultzTexas (DAL)D351986-02-25No245 Lbs6 ft6NoNoNoNo3Pro & Farm1,210,000$0$0$No1,210,000$1,210,000$
Jonas SiegenthalerTexas (DAL)D241997-05-06No214 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Jordan SzwarzTexas (DAL)C/RW301991-05-14No203 Lbs5 ft11NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Justin SchultzTexas (DAL)D311990-06-07No199 Lbs6 ft2NoNoNoNo3Pro & Farm1,210,000$0$0$No1,210,000$1,210,000$Lien
Kyle RauTexas (DAL)C/LW/RW281992-10-24No179 Lbs5 ft8NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Logan StanleyTexas (DAL)D231998-05-26 04:48:57Yes228 Lbs6 ft7NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Matt IrwinTexas (DAL)D331987-11-29No217 Lbs6 ft2NoNoNoNo2Pro & Farm1,101,000$0$0$No1,101,000$Lien
Michael McLeodTexas (DAL)C231998-02-03 04:44:38Yes190 Lbs6 ft2NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Patrik NemethTexas (DAL)D291992-02-08No238 Lbs6 ft3NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Steve MasonTexas (DAL)G341987-01-10 11:37:02No206 Lbs6 ft3NoNoNoNo2Pro & Farm1,301,000$0$0$No1,301,000$
Thatcher DemkoTexas (DAL)G251995-12-08 04:39:45Yes192 Lbs6 ft4NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Tom PyattTexas (DAL)C/LW/RW341987-02-14No198 Lbs6 ft0NoNoNoNo3Pro & Farm1,110,000$0$0$No1,110,000$1,110,000$
Travis ZajacTexas (DAL)C361985-05-05No213 Lbs6 ft2NoNoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.68206 Lbs6 ft22.00985,823$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady TkachukBrandon PirriAndrew Cogliano32023
2Kyle RauMichael McLeodJordan Szwarz30023
3Andrei LoktionovTom PyattChris Stewart28041
4Darren HelmTravis ZajacCorey Perry10050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerMatt Irwin38032
2Logan StanleyJustin Schultz36032
3Jeff SchultzGabriel Carlsson26041
4Jeff SchultzGabriel Carlsson0050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady TkachukBrandon PirriAndrew Cogliano50005
2Kyle RauMichael McLeodJordan Szwarz50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerMatt Irwin50122
2Logan StanleyJustin Schultz50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tom PyattCorey Perry50041
2Travis ZajacDarren Helm50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerMatt Irwin50050
2Logan StanleyJeff Schultz50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Corey Perry50050Jonas SiegenthalerMatt Irwin50050
2Travis Zajac50050Logan StanleyJeff Schultz50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriBrady Tkachuk50023
2Michael McLeodKyle Rau50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerMatt Irwin50041
2Logan StanleyJustin Schultz50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle RauMichael McLeodBrady TkachukJonas SiegenthalerMatt Irwin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis ZajacTom PyattCorey PerryLogan StanleyMatt Irwin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Rau, Brady Tkachuk, Brandon PirriJordan Szwarz, Tom PyattAndrew Cogliano
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeff Schultz, Logan Stanley, Jonas SiegenthalerJustin SchultzGabriel Carlsson, Matt Irwin
Tirs de pénalité
Chris Stewart, Brandon Pirri, Brady Tkachuk, Darren Helm, Tom Pyatt
Gardien
#1 : Thatcher Demko, #2 : Alex Nedeljkovic


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
1Abbotsford4210001015114210000109632110000065160.75015233800101818015124919931881581394930591119.09%14285.71%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
2Bakersfield412000101516-12010001089-12110000077040.500152338001018180151319199318815812737277412433.33%11463.64%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
3Charlotte20100010550100000104311010000012-120.5005813001018180156991993188158711443261218.33%10190.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
4Cleveland21000010743100000105411100000020241.00071219011018180157791993188158861710347228.57%50100.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
5Grand Rapids21100000990110000006421010000035-220.50091423101018180157191993188158572024267228.57%100100.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
6Hartford312000007701010000023-12110000054120.333711180010181801510191993188158802529411317.69%120100.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
7Hershey21001000963110000004221000100054141.0009162500101818015679199318815865191854800.00%9188.89%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
8Iowa6410001022913321000001046320000101257100.8332235570110181801520091993188158161477210025416.00%24195.83%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
9Laval321000001156110000004042110000075240.66711203101101818015131919931881587624225014214.29%100100.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
10Lehigh Valley2010100057-2100010004311010000014-320.500591400101818015669199318815872124309111.11%20100.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
11Manitoba65001000261412330000001156320010001596121.000264874001018180152029199318815818041549228621.43%27485.19%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
12Milwaukee623001001215-3311001008803120000047-350.417122032011018180152289199318815818241461053113.23%230100.00%11608316250.85%1494306948.68%668127252.52%2008136718826271081548
13Ontario43100000181442200000011742110000077060.750183149001018180151119199318815812930296714535.71%12375.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
14Providence220000001073110000005321100000054141.000101626001018180157291993188158752620336116.67%9277.78%11608316250.85%1494306948.68%668127252.52%2008136718826271081548
15Rochester20001010642100010003211000001032141.000691500101818015869199318815867201332800.00%30100.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
16Rockford621021002018231101000109131001100109190.750203656101018180151839199318815820573669926311.54%30680.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
17San Diego4220000012111211000004402110000087140.500122032011018180151309199318815815232307518422.22%15380.00%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
18San Jose41300000913-42020000047-32110000056-120.2509142310101818015115919931881581193946841119.09%17382.35%11608316250.85%1494306948.68%668127252.52%2008136718826271081548
19Springfield632001002221132000100149531200000812-470.583224264001018180152019199318815821282489730516.67%24387.50%11608316250.85%1494306948.68%668127252.52%2008136718826271081548
20Toronto21001000633110000004221000100021141.000610160010181801566919931881585520123213323.08%6183.33%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
21Tucson41300000990211000005232020000047-320.25091625001018180151239199318815812849335512325.00%14564.29%11608316250.85%1494306948.68%668127252.52%2008136718826271081548
22Utica4310000015963300000012571010000034-160.750152540011018180151519199318815811631286720315.00%11190.91%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
23Wilkes-Barre/Scranton21100000550110000004131010000014-320.500591400101818015669199318815875191236600.00%6183.33%01608316250.85%1494306948.68%668127252.52%2008136718826271081548
Total82392707360275222534123903240151102494116180412012412041070.65227546774236101818015277191993188158262976771613683415315.54%3044186.51%51608316250.85%1494306948.68%668127252.52%2008136718826271081548
_Since Last GM Reset82392707360275222534123903240151102494116180412012412041070.65227546774236101818015277191993188158262976771613683415315.54%3044186.51%51608316250.85%1494306948.68%668127252.52%2008136718826271081548
_Vs Conference542619033301801512927148012209470242712110211086815670.6201803084882310181801517489199318815817345204819072183716.97%2113483.89%41608316250.85%1494306948.68%668127252.52%2008136718826271081548
_Vs Division3016703310102772515930120053351815740211049427430.717102181283121018180151014919931881589402842864931401913.57%1281489.06%21608316250.85%1494306948.68%668127252.52%2008136718826271081548

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82107L127546774227712629767716136836
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239277360275222
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412393240151102
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116184120124120
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
3415315.54%3044186.51%5
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
91993188158101818015
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
1608316250.85%1494306948.68%668127252.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2008136718826271081548


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
1 - 2022-11-251Utica0Texas4BWSommaire du match
3 - 2022-11-2615Texas7Manitoba4AWSommaire du match
6 - 2022-11-2731Texas5Springfield2AWSommaire du match
8 - 2022-11-2839Milwaukee4Texas3BLXSommaire du match
10 - 2022-11-2950Texas6Iowa1AWSommaire du match
12 - 2022-11-3060Springfield4Texas6BWSommaire du match
14 - 2022-12-0172Texas5Rockford4AWXSommaire du match
16 - 2022-12-0284Rockford1Texas3BWSommaire du match
17 - 2022-12-0387Texas3Milwaukee1AWSommaire du match
21 - 2022-12-05108Manitoba1Texas3BWSommaire du match
24 - 2022-12-06128Iowa1Texas5BWSommaire du match
27 - 2022-12-08144Texas4Hartford1AWSommaire du match
29 - 2022-12-09156Bakersfield5Texas3BLSommaire du match
31 - 2022-12-10164Texas4Manitoba3AWXSommaire du match
33 - 2022-12-11171Texas4Iowa3AWXXSommaire du match
34 - 2022-12-11181Abbotsford4Texas5BWXXSommaire du match
37 - 2022-12-13197Texas4Abbotsford2AWSommaire du match
39 - 2022-12-14207Lehigh Valley3Texas4BWXSommaire du match
42 - 2022-12-15221Texas2Iowa1AWSommaire du match
43 - 2022-12-16230Grand Rapids4Texas6BWSommaire du match
46 - 2022-12-17243Texas5Hershey4AWXSommaire du match
48 - 2022-12-18253Springfield1Texas5BWSommaire du match
49 - 2022-12-19265Texas2San Jose1AWSommaire du match
52 - 2022-12-20277Texas4Manitoba2AWSommaire du match
53 - 2022-12-21284Milwaukee4Texas3BLSommaire du match
56 - 2022-12-22300Bakersfield4Texas5BWXXSommaire du match
58 - 2022-12-23313Texas1Hartford3ALSommaire du match
60 - 2022-12-24324Springfield4Texas3BLXSommaire du match
64 - 2022-12-26343Rockford4Texas5BWXSommaire du match
66 - 2022-12-27359Texas1Charlotte2ALSommaire du match
69 - 2022-12-29369Iowa0Texas3BWSommaire du match
72 - 2022-12-30386Texas1Lehigh Valley4ALSommaire du match
74 - 2022-12-31392Manitoba3Texas4BWSommaire du match
76 - 2023-01-01403Texas1Milwaukee3ALSommaire du match
79 - 2023-01-03417Texas3Rockford2AWSommaire du match
80 - 2023-01-03424Utica2Texas3BWSommaire du match
83 - 2023-01-05441San Diego0Texas3BWSommaire du match
86 - 2023-01-06453Texas0Milwaukee3ALSommaire du match
87 - 2023-01-07465San Diego4Texas1BLSommaire du match
90 - 2023-01-08476Texas3Springfield6ALSommaire du match
93 - 2023-01-10490Hartford3Texas2BLSommaire du match
95 - 2023-01-11500Texas2Cleveland0AWSommaire du match
97 - 2023-01-12514Texas2Rockford3ALXSommaire du match
98 - 2023-01-12518Tucson1Texas0BLSommaire du match
101 - 2023-01-14536Texas1Wilkes-Barre/Scranton4ALSommaire du match
102 - 2023-01-14540Providence3Texas5BWSommaire du match
105 - 2023-01-16556Texas3San Jose5ALSommaire du match
107 - 2023-01-17565Milwaukee0Texas2BWSommaire du match
111 - 2023-01-19585Texas2Abbotsford3ALSommaire du match
112 - 2023-01-19590Iowa3Texas2BLSommaire du match
116 - 2023-01-21608Tucson1Texas5BWSommaire du match
119 - 2023-01-23620Texas3Ontario2AWSommaire du match
122 - 2023-01-24633Manitoba1Texas4BWSommaire du match
124 - 2023-01-25645Texas3Grand Rapids5ALSommaire du match
126 - 2023-01-26653Texas5Providence4AWSommaire du match
127 - 2023-01-27661Hershey2Texas4BWSommaire du match
131 - 2023-01-29682Rochester2Texas3BWXSommaire du match
135 - 2023-01-31703Wilkes-Barre/Scranton1Texas4BWSommaire du match
137 - 2023-02-01709Texas4Ontario5ALSommaire du match
140 - 2023-02-02727Utica3Texas5BWSommaire du match
142 - 2023-02-03739Texas3Rochester2AWXXSommaire du match
144 - 2023-02-04748Texas3Tucson4ALSommaire du match
146 - 2023-02-05756Rockford4Texas2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06769Texas5Laval1AWSommaire du match
150 - 2023-02-07779Cleveland4Texas5BWXXSommaire du match
152 - 2023-02-08791Texas6Bakersfield2AWSommaire du match
154 - 2023-02-09796Texas2Laval4ALSommaire du match
156 - 2023-02-10806Charlotte3Texas4BWXXSommaire du match
158 - 2023-02-11820Texas3Utica4ALSommaire du match
160 - 2023-02-12829Toronto2Texas4BWSommaire du match
162 - 2023-02-13837Texas0Springfield4ALSommaire du match
163 - 2023-02-14848Abbotsford2Texas4BWSommaire du match
166 - 2023-02-15864Texas1Bakersfield5ALSommaire du match
169 - 2023-02-17874Texas3San Diego5ALSommaire du match
171 - 2023-02-18881Ontario4Texas5BWSommaire du match
175 - 2023-02-20902Ontario3Texas6BWSommaire du match
180 - 2023-02-22920Laval0Texas4BWSommaire du match
184 - 2023-02-24936Texas1Tucson3ALSommaire du match
185 - 2023-02-25942Texas5San Diego2AWSommaire du match
188 - 2023-02-26951San Jose5Texas3BLSommaire du match
190 - 2023-02-27960Texas2Toronto1AWXSommaire du match
195 - 2023-03-02975San Jose2Texas1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,27331,205
Assistance PCT75.94%76.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2280 - 76.00% 133,347$5,467,230$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,519,396$ 2,168,810$ 2,168,810$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,954$ 2,019,379$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 18,529$ 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
1Jordan Szwarz16454781324610217819844612.11%20277316.91626328200004450.9700.9500
2Michael McLeod1144486130529828827240610.84%28223219.584202480022012656.6921.1624
3Kyle Rau1606458122427219022860810.53%18299318.71812209200008245.9500.8200
4Andrei Loktionov1345262114282410424446211.26%18242118.0781220842241016445.8800.9444
5Andrew Cogliano1644260102632801664728.90%12282617.246101676404881041.2520.7200

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
1Matt Keetley56401400.9192.5233408214017220240.83324
2Steve Mason56341820.9092.9833048016417960021.00018
3Thatcher Demko56302240.9232.45328241013417340000.00%0
4Al Montoya40201800.8983.42231712413212900021.0008

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
20823927073602752225341239032401511024941161804120124120410727546774236101818015277191993188158262976771613683415315.54%3044186.51%51608316250.85%1494306948.68%668127252.52%2008136718826271081548
Total Saison régulière1647854014612055044410682461806480302204988232360824024824082145509341484612202162160305542183818621762116525815341432273668210615.54%6088286.51%103216632450.85%2988613848.68%1336254452.52%401627353765125421631096
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

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