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Texas
GP: 56 | W: 28 | L: 22 | OTL: 6 | P: 62
GF: 178 | GA: 157 | PP%: 15.28% | PK%: 83.17%
DG: Ben Dicaire | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #672 vs Cleveland

Centre de jeu
Texas
28-22-6, 62pts
3
FINAL
4 Rochester
25-19-7, 57pts
Team Stats
W1SéquenceW1
16-8-2Fiche domicile14-10-3
12-14-4Fiche domicile11-9-4
5-5-0Derniers 10 matchs5-3-2
3.18Buts par match 3.14
2.80Buts contre par match 3.18
15.28%Pourcentage en avantage numérique13.00%
83.17%Pourcentage en désavantage numérique78.79%
Texas
28-22-6, 62pts
1
FINAL
0 Eagles
33-15-5, 71pts
Team Stats
W1SéquenceOTL1
16-8-2Fiche domicile16-9-2
12-14-4Fiche domicile17-6-3
5-5-0Derniers 10 matchs4-4-2
3.18Buts par match 3.49
2.80Buts contre par match 2.70
15.28%Pourcentage en avantage numérique18.59%
83.17%Pourcentage en désavantage numérique81.28%
Cleveland
28-21-3, 59pts
Jour 126
Texas
28-22-6, 62pts
Statistiques d’équipe
L1SéquenceW1
14-12-1Fiche domicile16-8-2
14-9-2Fiche visiteur12-14-4
6-3-110 derniers matchs5-5-0
2.96Buts par match 3.18
3.23Buts contre par match 3.18
18.75%Pourcentage en avantage numérique15.28%
82.49%Pourcentage en désavantage numérique83.17%
Ontario
35-15-3, 73pts
Jour 131
Texas
28-22-6, 62pts
Statistiques d’équipe
W2SéquenceW1
19-8-0Fiche domicile16-8-2
16-7-3Fiche visiteur12-14-4
6-3-110 derniers matchs5-5-0
3.89Buts par match 3.18
2.81Buts contre par match 3.18
25.82%Pourcentage en avantage numérique15.28%
84.96%Pourcentage en désavantage numérique83.17%
Manitoba
29-22-4, 62pts
Jour 135
Texas
28-22-6, 62pts
Statistiques d’équipe
L2SéquenceW1
12-12-2Fiche domicile16-8-2
17-10-2Fiche visiteur12-14-4
4-6-010 derniers matchs5-5-0
3.07Buts par match 3.18
2.96Buts contre par match 3.18
16.02%Pourcentage en avantage numérique15.28%
81.05%Pourcentage en désavantage numérique83.17%
Meneurs d'équipe
Devin ShoreButs
Devin Shore
27
Passes
Cole Schwindt
34
Devin ShorePoints
Devin Shore
56
Plus/Moins
Brian Gibbons
21
Victoires
Matt Keetley
17
Darcy KuemperPourcentage d’arrêts
Darcy Kuemper
0.925

Statistiques d’équipe
Buts pour
178
3.18 GFG
Tirs pour
1937
34.59 Avg
Pourcentage en avantage numérique
15.3%
33 GF
Début de zone offensive
41.3%
Buts contre
157
2.80 GAA
Tirs contre
1951
34.84 Avg
Pourcentage en désavantage numérique
83.2%%
34 GA
Début de la zone défensive
41.7%
Informations de l'équipe

Directeur généralBen Dicaire
EntraîneurJoel Bouchard
DivisionCentrale
ConférenceConference ouest
CapitaineBrian Gibbons
Assistant #1Marc-Andre Cliche
Assistant #2Riley Nash


Informations de l’aréna

Capacité3,000
Assistance2,656
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs23


Historique d'équipe

Saison actuelle28-22-6 (62PTS)
Historique80-49-10 (0.576%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)20 - 19 (0.513%)
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
1Devin ShoreXXX100.007029937986869774837175688362534750002921,310,000$
2Riley Nash (A)XXX98.006520975481749066936669718675682650003521,210,000$
3Brian Gibbons (C)XXX98.006722975967707866796668748682751650003621,210,000$
4Scott WilsonXX100.00743675698170886770656657766153385000323500,000$
5Marc-Andre Cliche (A)XX100.006729945068537967596466737980751850003721,100,000$
6Benoit-Olivier Groulx (R)XX100.00783294828980996882676768784643605000241700,000$
7Kyle RauXXX100.00673183786675837665717558756051315000312950,000$
8Leo KomarovXX100.0059299545726181637364647173797065000371851,000$
9Cole SmithX100.00845583748776876170656574755757475000282850,000$
10Austin WatsonXX100.00838363739070946070606571757069365000321991,000$
11John Beecher (R)XX100.00814090868877996788706874704242695000232800,000$
12Cole Schwindt (R)XX100.00733599778074926687696467704242635000232600,000$
13Cody GoloubefX100.00733061597970804950494586767165315000341851,000$
14Oscar FantenbergX100.006831766782778553505350897567673650003221,281,000$
15Gabriel CarlssonX99.007030867490848554535552877852495950002711,000,000$
16Gavin BayreutherX100.007024877483799941704441847462604350003011,000,000$
17Mattias Samuelsson (R)X100.00833092739382715050525194704545755000242800,000$
18Dennis Cholowski (R)X99.00703093688677994850485088705252665000261800,000$
Rayé
1Cal ClutterbuckX100.0078249363847178627062637477829095000361850,000$
2Anton StralmanX100.00632980537171985150444586698473195000371851,000$
MOYENNE D’ÉQUIPE99.7072338768817488606860607676646040500
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
1Darcy Kuemper100.0063918783808685858587767776475000342981,000$
Rayé
1Matt Keetley94.0054808283729089868666729997850003921,100,000$
2Miika Wiikman100.006381787470878885866862999515000391651,000$
MOYENNE D’ÉQUIPE98.006084828074888785867470928919500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard79827281999960CAN5131,000,000$


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/RW56272956518064672377017911.39%6110719.78791658187000174049.48%9700011.0100000514
2John BeecherTexas (DAL)C/LW56233154144551041081945416611.86%11103618.522682812320271184055.99%63400101.0400010354
3Kyle RauTexas (DAL)C/LW/RW56262248116065522527015210.32%1110019.65761362187000003142.50%8000000.8700000175
4Cole SchwindtTexas (DAL)C/RW5613344721956395144321319.03%8108319.362121437187000002151.02%146600000.8700010352
5Brian GibbonsTexas (DAL)C/LW/RW551920392116037501585010912.03%6107419.541232615610191245152.41%18700010.7301000223
6Riley NashTexas (DAL)C/LW/RW56162238218030118126358912.70%3104718.70347221650003550155.49%146500010.7324000022
7Gabriel CarlssonTexas (DAL)D56533381239560529836825.10%88126522.59279411860003165000%000000.6014100122
8Mattias SamuelssonTexas (DAL)D56432361564080649538914.21%96129423.12189421770222159000%000000.5600000201
9Oscar FantenbergTexas (DAL)D5661925932040588526687.06%85126122.52235441790333141200%000000.4000000010
10Dennis CholowskiTexas (DAL)D56617231936041489532626.32%89124322.21314401820002149000%000000.3700000012
11Benoit-Olivier GroulxTexas (DAL)C/LW5661521-102207692141531164.26%484315.073142079000001151.02%63500000.5000000002
12Cole SmithTexas (DAL)LW5674119100372943102816.28%43806.790000000081671034.21%3800000.5800000200
13Cody GoloubefTexas (DAL)D561910-546072283713232.70%6382914.8100014000011000%000000.2400000000
14Leo KomarovTexas (DAL)LW/RW566410-54014396316509.52%278514.030001100000361048.51%10100000.2500000002
15Scott WilsonTexas (DAL)LW/RW53459-1235573318529884.71%267912.8100001000001056.76%3700000.2700001020
16Gavin BayreutherTexas (DAL)D56178-7602926348222.94%4585615.2900015000054100%000000.1900000000
17Austin WatsonTexas (DAL)LW/RW56358735523102592412.00%22344.1800000000030055.56%1800000.6800010000
18Marc-Andre ClicheTexas (DAL)C/RW56257940725226179.09%53746.690000300041530142.67%45700000.3700000101
19Cal ClutterbuckTexas (DAL)RW4000-100313100%0256.4000000000070040.00%50000000000000
Statistiques d’équipe totales ou en moyenne100817531348810445525918993193758814979.03%5201652516.39335992423183935842135725651.92%522000130.5939131202830
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 KeetleyTexas (DAL)3017930.9192.58179323779530200.87582921521
2Darcy KuemperTexas (DAL)177730.9252.6410012144584000001632210
3Joel HoferDallas114600.9183.4559200344130111.0003112310
Statistiques d’équipe totales ou en moyenne58282260.9212.7533874415519500311156551041


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
Anton StralmanTexas (DAL)D371986-08-01SWENo197 Lbs5 ft11NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm851,000$309,851$0$0$No---------------------------Lien
Austin WatsonTexas (DAL)LW/RW321992-01-13USANo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm991,000$360,826$0$0$No---------------------------Lien NHL
Benoit-Olivier GroulxTexas (DAL)C/LW242000-02-06FRAYes198 Lbs6 ft2NoNoProspectNoNo12024-09-20FalseFalsePro & Farm700,000$254,872$0$0$No---------------------------
Brian GibbonsTexas (DAL)C/LW/RW361988-02-26USANo176 Lbs5 ft8NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm1,210,000$440,564$0$0$No1,210,000$--------1,210,000$--------No--------Lien
Cal ClutterbuckTexas (DAL)RW361987-11-18CANNo212 Lbs6 ft0NoNoFree AgentNoNo12024-09-21FalseFalsePro & Farm850,000$309,487$0$0$No---------------------------Lien / Lien NHL
Cody GoloubefTexas (DAL)D341989-11-30CANNo203 Lbs6 ft1NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm851,000$309,851$0$0$No---------------------------Lien
Cole SchwindtTexas (DAL)C/RW232001-04-25CANYes182 Lbs6 ft2NoNoProspectNoNo22025-10-16FalseFalsePro & Farm600,000$218,462$0$0$No600,000$--------600,000$--------No--------
Cole SmithTexas (DAL)LW281995-10-28USANo195 Lbs6 ft3NoNoN/ANoNo22024-09-16FalseFalsePro & Farm850,000$309,487$0$0$No850,000$--------850,000$--------No--------Lien NHL
Darcy KuemperTexas (DAL)G341990-05-05CANNo220 Lbs6 ft5NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm981,000$357,185$0$0$No981,000$--------981,000$--------No--------Lien / Lien NHL
Dennis CholowskiTexas (DAL)D261998-02-15CANYes210 Lbs6 ft2NoNoProspectNoNo12025-10-17FalseFalsePro & Farm800,000$291,282$0$0$No---------------------------
Devin ShoreTexas (DAL)C/LW/RW291994-07-09CANNo212 Lbs6 ft1NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,310,000$476,974$0$0$No1,310,000$--------1,310,000$--------No--------Lien / Lien NHL
Gabriel CarlssonTexas (DAL)D271997-01-02SWENo203 Lbs6 ft3NoNoN/ANoNo12025-09-09FalseFalsePro & Farm1,000,000$364,103$0$0$No---------------------------Lien
Gavin BayreutherTexas (DAL)D301994-05-12USANo196 Lbs6 ft1NoNoN/ANoNo12025-09-09FalseFalsePro & Farm1,000,000$364,103$0$0$No---------------------------
John BeecherTexas (DAL)C/LW232001-04-05USAYes215 Lbs6 ft3NoNoProspectNoNo22025-10-16FalseFalsePro & Farm800,000$291,282$0$0$No800,000$--------800,000$--------No--------
Kyle RauTexas (DAL)C/LW/RW311992-10-24USANo179 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm950,000$345,897$0$0$No950,000$--------950,000$--------No--------Lien
Leo KomarovTexas (DAL)LW/RW371987-01-23ESTNo203 Lbs5 ft11NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm851,000$309,851$0$0$No---------------------------Lien
Marc-Andre ClicheTexas (DAL)C/RW371987-03-23CANNo205 Lbs6 ft1NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm1,100,000$400,513$0$0$No1,100,000$--------1,100,000$--------No--------
Matt KeetleyTexas (DAL)G391985-01-10CANNo230 Lbs6 ft2NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,100,000$400,513$0$0$No1,100,000$--------1,100,000$--------No--------
Mattias SamuelssonTexas (DAL)D242000-03-14USAYes231 Lbs6 ft4NoNoProspectNoNo22025-10-17FalseFalsePro & Farm800,000$291,282$0$0$No800,000$--------800,000$--------No--------
Miika WiikmanTexas (DAL)G391984-10-17SWENo190 Lbs5 ft11NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm651,000$237,031$0$0$No---------------------------
Oscar FantenbergTexas (DAL)D321991-10-07SWENo210 Lbs6 ft0NoNoFree AgentNoNo22024-10-02FalseFalsePro & Farm1,281,000$466,415$0$0$No1,281,000$--------1,281,000$--------No--------Lien
Riley NashTexas (DAL)C/LW/RW351989-05-09CANNo208 Lbs6 ft1NoNoFree Agent2024-10-02NoNo22025-09-24FalseFalsePro & Farm1,210,000$440,564$0$0$No1,210,000$--------1,210,000$--------No--------Lien
Scott WilsonTexas (DAL)LW/RW321992-04-24CANNo189 Lbs5 ft11NoNoFree AgentNoNo32025-10-30FalseFalsePro & Farm500,000$182,051$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2331.52203 Lbs6 ft11.61923,348$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Devin ShoreCole SchwindtBrian Gibbons36023
2John BeecherRiley NashKyle Rau34023
3Scott WilsonBenoit-Olivier GroulxLeo Komarov26032
4Cole SmithMarc-Andre ClicheAustin Watson4050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMattias Samuelsson36032
2Oscar FantenbergGabriel Carlsson34032
3Cody GoloubefGavin Bayreuther18041
4Cody GoloubefGavin Bayreuther12050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Devin ShoreCole SchwindtKyle Rau55005
2John BeecherRiley NashBrian Gibbons45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMattias Samuelsson50014
2Oscar FantenbergGabriel Carlsson50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley NashCole Smith50041
2Brian GibbonsMarc-Andre Cliche50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMattias Samuelsson50050
2Oscar FantenbergGabriel Carlsson50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brian Gibbons50050Dennis CholowskiMattias Samuelsson50050
2Cole Smith50050Oscar FantenbergGabriel Carlsson50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SchwindtKyle Rau50023
2Riley NashJohn Beecher50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMattias Samuelsson50041
2Oscar FantenbergGabriel Carlsson50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle RauCole SchwindtDevin ShoreOscar FantenbergMattias Samuelsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithJohn BeecherBrian GibbonsOscar FantenbergMattias Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Leo Komarov, Riley Nash, Kyle RauBenoit-Olivier Groulx, Devin ShoreLeo Komarov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gavin Bayreuther, Cody Goloubef, Oscar FantenbergDennis CholowskiGabriel Carlsson, Mattias Samuelsson
Tirs de pénalité
Gabriel Carlsson, Riley Nash, Brian Gibbons, Devin Shore, Marc-Andre Cliche
Gardien
#1 : , #2 : Darcy Kuemper
Lignes d’attaque personnalisées en prolongation
Devin Shore, John Beecher, Kyle Rau, Cole Schwindt, Brian Gibbons, Scott Wilson, Benoit-Olivier Groulx, Leo Komarov, Riley Nash, Cole Smith
Lignes de défense personnalisées en prolongation
Mattias Samuelsson, Dennis Cholowski, Oscar Fantenberg, Cody Goloubef, Gabriel Carlsson


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
1Abbotsford3200000112570000000000032000001125750.833122234005370505114614647660251094626519222.22%13284.62%01129213152.98%1139215452.88%44287850.34%13509121297431746372
2Bakersfield3110010079-22110000056-11000010023-130.5007121900537050592614647660251022918511100.00%9366.67%01129213152.98%1139215452.88%44287850.34%13509121297431746372
3Bridgeport22000000743000000000002200000074341.000712190053705055161464766025761414289111.11%7271.43%01129213152.98%1139215452.88%44287850.34%13509121297431746372
4Charlotte10000010321100000103210000000000021.0003470053705053361464766025491910112150.00%50100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
5Coachella Valley320010001055100010004312200000062461.00010172701537050510361464766025841520431100.00%10280.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
6Eagles3020100089-11010000023-12010100066020.333815230153705051026146476602510437274412216.67%100100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
7Grand Rapids21100000761110000005231010000024-220.50071118005370505696146476602563911299111.11%30100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
8Hartford11000000312000000000001100000031221.000369005370505356146476602540101019500.00%50100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
9Hershey11000000321110000003210000000000021.0003690053705053761464766025211314224125.00%6183.33%01129213152.98%1139215452.88%44287850.34%13509121297431746372
10Iowa22000000936220000009360000000000041.0009142300537050585614647660256715122613215.38%50100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
11Laval2010010068-21000010045-11010000023-110.250611170053705056361464766025721827325120.00%11281.82%11129213152.98%1139215452.88%44287850.34%13509121297431746372
12Lehigh Valley21100000550110000003031010000025-320.50058130153705055261464766025732110249222.22%50100.00%11129213152.98%1139215452.88%44287850.34%13509121297431746372
13Manitoba32000100972320001009720000000000050.83391524005370505976146476602588342444700.00%100100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
14Ontario3120000079-21010000035-22110000044020.33371320005370505103614647660251022518541300.00%90100.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
15Providence2010010059-41010000003-31000010056-110.2505101500537050584614647660257516162111218.18%7271.43%01129213152.98%1139215452.88%44287850.34%13509121297431746372
16Rochester21100000761110000004221010000034-120.50071320005370505676146476602577141634400.00%8187.50%01129213152.98%1139215452.88%44287850.34%13509121297431746372
17Rockford4220000013760000000000042200000137640.5001326390153705051316146476602513739307516531.25%13284.62%01129213152.98%1139215452.88%44287850.34%13509121297431746372
18San Diego311000101613331100010161330000000000040.6671627430053705051106146476602510330375115640.00%11372.73%01129213152.98%1139215452.88%44287850.34%13509121297431746372
19San Jose403000101217-520100010810-22020000047-320.2501221331053705051306146476602516239346414214.29%17664.71%01129213152.98%1139215452.88%44287850.34%13509121297431746372
20Springfield21100000770000000000002110000077020.5007121900537050563614647660255518234112216.67%9277.78%01129213152.98%1139215452.88%44287850.34%13509121297431746372
21Syracuse3020010069-31010000012-12010010057-210.1676101600537050513861464766025126342858500.00%13284.62%01129213152.98%1139215452.88%44287850.34%13509121297431746372
22Utica 3120000012752110000010461010000023-120.33312213300537050597614647660258916245214321.43%11281.82%11129213152.98%1139215452.88%44287850.34%13509121297431746372
23Wilkes-Barre/Scranton2110000047-3110000004311010000004-420.500471100537050581614647660257791044600.00%5260.00%01129213152.98%1139215452.88%44287850.34%13509121297431746372
Total562322025311781572126128012309375183011140130185823620.55417831349114537050519376146476602519515204599182163315.28%2023483.17%31129213152.98%1139215452.88%44287850.34%13509121297431746372
_Since Last GM Reset562322025311781572126128012309375183011140130185823620.55417831349114537050519376146476602519515204599182163315.28%2023483.17%31129213152.98%1139215452.88%44287850.34%13509121297431746372
_Vs Conference33141202221110911915650112056506188701101544113390.59111019430413537050511306146476602511133272695441332115.79%1162082.76%01129213152.98%1139215452.88%44287850.34%13509121297431746372
_Vs Division14750110046331364100100201378340100026206170.607468212802537050547861464766025451143116230601118.33%47491.49%01129213152.98%1139215452.88%44287850.34%13509121297431746372

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5662W11783134911937195152045991814
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5623222531178157
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2612812309375
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30111413018582
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
2163315.28%2023483.17%3
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
614647660255370505
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
1129213152.98%1139215452.88%44287850.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13509121297431746372


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
29Manitoba2Texas3WSommaire du match
625Texas4Rockford0WSommaire du match
831Manitoba4Texas3LXSommaire du match
1247Texas5Rockford1WSommaire du match
1458Texas4Abbotsford1WSommaire du match
1569San Diego3Texas6WSommaire du match
1983Manitoba1Texas3WSommaire du match
23103Texas3Ontario1WSommaire du match
25111Utica 3Texas2LSommaire du match
27125Texas2Bakersfield3LXSommaire du match
29134San Diego6Texas5LSommaire du match
30138Texas2Rockford3LSommaire du match
33157Texas3Coachella Valley2WSommaire du match
35166Coachella Valley3Texas4WXSommaire du match
38183Iowa1Texas3WSommaire du match
40196Texas5Springfield2WSommaire du match
42207Laval5Texas4LXSommaire du match
45224Texas2San Jose4LSommaire du match
47233Texas2Grand Rapids4LSommaire du match
49241Bakersfield4Texas1LSommaire du match
51255Texas0Wilkes-Barre/Scranton4LSommaire du match
54266Iowa2Texas6WSommaire du match
56278Texas2Lehigh Valley5LSommaire du match
59291Charlotte2Texas3WXXSommaire du match
61302Texas5Providence6LXSommaire du match
62312Bakersfield2Texas4WSommaire du match
65324Texas4Bridgeport2WSommaire du match
67333Texas2Syracuse3LSommaire du match
69342Texas2San Jose3LSommaire du match
70349Syracuse2Texas1LSommaire du match
73367Hershey2Texas3WSommaire du match
75378Texas3Syracuse4LXSommaire du match
77392Lehigh Valley0Texas3WSommaire du match
78402Texas6Abbotsford1WSommaire du match
81418Rochester2Texas4WSommaire du match
83427Texas3Bridgeport2WSommaire du match
84439Texas2Laval3LSommaire du match
86449Ontario5Texas3LSommaire du match
89464Texas2Springfield5LSommaire du match
90473Wilkes-Barre/Scranton3Texas4WSommaire du match
93487Texas5Eagles6LSommaire du match
95497Utica 1Texas8WSommaire du match
97505Texas2Abbotsford3LXXSommaire du match
99514Texas1Ontario3LSommaire du match
101523San Jose4Texas5WXXSommaire du match
103538Texas2Rockford3LSommaire du match
104546Providence3Texas0LSommaire du match
107560Texas2Utica 3LSommaire du match
108570Eagles3Texas2LSommaire du match
111590Texas3Hartford1WSommaire du match
112595San Jose6Texas3LSommaire du match
116619Texas3Coachella Valley0WSommaire du match
117623Grand Rapids2Texas5WSommaire du match
121644San Diego4Texas5WXXSommaire du match
123654Texas3Rochester4LSommaire du match
124662Texas1Eagles0WXSommaire du match
126672Cleveland-Texas-
131695Ontario-Texas-
135717Manitoba-Texas-
137736Texas-Cleveland-
138742Springfield-Texas-
141763Bridgeport-Texas-
142769Texas-Charlotte-
147790Hartford-Texas-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151810Coachella Valley-Texas-
153823Texas-Manitoba-
155836Abbotsford-Texas-
157846Texas-Bakersfield-
160861Hartford-Texas-
161871Texas-Manitoba-
163884Manitoba-Texas-
165894Texas-Iowa-
169912Rockford-Texas-
171920Texas-Rockford-
174937Abbotsford-Texas-
177950Texas-San Diego-
179960Eagles-Texas-
183976Texas-Hershey-
186985Rockford-Texas-
188997Texas-San Diego-
1921009Springfield-Texas-
1941023Texas-Iowa-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance45,85323,202
Assistance PCT88.18%89.24%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 2656 - 88.53% 129,581$3,369,099$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,984,804$ 2,123,700$ 2,123,700$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,891$ 1,348,932$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,943,711$ 71 16,019$ 1,137,349$




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 Rau1365851109225216016655610.43%10259719.1011122310800007245.24%00.8400
2Gabriel Carlsson117958672367124961625.56%172254121.7241014670113100%00.5314
3Jordan Szwarz822739662351899922312.11%10138616.91313164100002250.97%00.9500
4Michael McLeod57224365264914413620310.84%14111619.58210124001106356.69%11.1612
5Andrei Loktionov6726315714125212223111.26%9121018.0746104211258245.88%00.9422

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 Keetley58371630.9192.5534636414718140320.85020
2Steve Mason2817910.9092.98165240828980011.0009
3Thatcher Demko28151120.9232.451641256786700000
4Al Montoya2010900.8983.42115862666450011.0004
5Darcy Kuemper177730.9252.641001214458400000

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
235623220253117815721261280123093751830111401301858236217831349114537050519376146476602519515204599182163315.28%2023483.17%31129213152.98%1139215452.88%44287850.34%13509121297431746372
Total Saison régulière13862490989145337974673517044702441776771273205421209202716945378012334101541511302047081533157815418345801287117522865578615.44%5067585.18%82737529351.71%2633522350.41%1110215051.63%33582279318010581827921
Séries éliminatoires
2011650000036324642000001915452300000171701236639900148140375130116115143689811121840922.50%511178.43%019944245.02%19643944.65%11120055.50%2851942628514876
211046000003845-7523000002023-3523000001822-48387010800151013047414216216010502125134197491326.53%411075.61%120747044.04%22150543.76%8519543.59%2331542407613669
2218108000005355-29720000032275936000002128-72053951481119131926382312051939648211170323761317.11%691479.71%133970048.43%30971743.10%14030246.36%416276430139239120
Total Séries éliminatoires39201900000127132-520137000007165619712000005667-114012722835511483146214875034834683315184344157381653521.21%1613578.26%2745161246.22%726166143.71%33669748.21%935625933301524266

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
1Justin Schultz399273632832408510.59%5680520.653912410000020%00.8900
2Kyle Rau39161733-1228344315210.53%174018.9958134700003250.82%00.8900
3Brandon Pirri3982028-11747591196.72%274619.132682601111146.16%00.7500
4Jordan Szwarz39131225410482710911.93%472318.5565113500004041.13%00.6900
5Ryan Suter2861420-31819164613.04%5863822.80246190001100%00.6300

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
1Joel Hofer126600.9103.14688003640200100
2Matt Keetley95210.9302.80515212434200000
3Thatcher Demko64020.9202.30391001518700000
4Steve Mason52210.8975.18301002625300000
5Alex Nedeljkovic52210.9063.36304001718100000