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Texas
GP: 80 | W: 41 | L: 32 | OTL: 7 | P: 89
GF: 250 | GA: 219 | PP%: 15.05% | PK%: 82.03%
DG: Ben Dicaire | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #1009 vs Springfield

Centre de jeu
Rockford
48-27-6, 102pts
3
2 Texas
41-32-7, 89pts
Team Stats
W6SéquenceW1
26-11-3Fiche domicile22-15-3
22-16-3Fiche domicile19-17-4
8-2-0Derniers 10 matchs7-3-0
2.90Buts par match 3.13
2.63Buts contre par match 2.74
18.60%Pourcentage en avantage numérique15.05%
81.57%Pourcentage en désavantage numérique82.03%
Texas
41-32-7, 89pts
3
1 San Diego
47-22-12, 106pts
Team Stats
W1SéquenceL1
22-15-3Fiche domicile21-11-8
19-17-4Fiche domicile26-11-4
7-3-0Derniers 10 matchs7-3-0
3.13Buts par match 3.38
2.74Buts contre par match 2.75
15.05%Pourcentage en avantage numérique22.73%
82.03%Pourcentage en désavantage numérique82.46%
Springfield
37-36-6, 80pts
Jour 192
Texas
41-32-7, 89pts
Statistiques d’équipe
L3SéquenceW1
17-20-3Fiche domicile22-15-3
20-16-3Fiche visiteur19-17-4
1-9-010 derniers matchs7-3-0
3.32Buts par match 3.13
3.72Buts contre par match 3.13
19.93%Pourcentage en avantage numérique15.05%
79.77%Pourcentage en désavantage numérique82.03%
Texas
41-32-7, 89pts
Jour 194
Iowa
33-44-4, 70pts
Statistiques d’équipe
W1SéquenceOTL1
22-15-3Fiche domicile16-21-3
19-17-4Fiche visiteur17-23-1
7-3-010 derniers matchs6-2-2
3.13Buts par match 3.14
2.74Buts contre par match 3.14
15.05%Pourcentage en avantage numérique17.55%
82.03%Pourcentage en désavantage numérique76.83%
Meneurs d'équipe
Buts
Kyle Rau
38
Passes
Cole Schwindt
45
Devin ShorePoints
Devin Shore
81
Plus/Moins
Riley Nash
32
Victoires
Matt Keetley
26
Pourcentage d’arrêts
Matt Keetley
0.923

Statistiques d’équipe
Buts pour
250
3.13 GFG
Tirs pour
2760
34.50 Avg
Pourcentage en avantage numérique
15.1%
45 GF
Début de zone offensive
41.4%
Buts contre
219
2.74 GAA
Tirs contre
2738
34.23 Avg
Pourcentage en désavantage numérique
82.0%%
53 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
Assistance2,745
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs23


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 ShoreXXX100.007029937986869775837276688363544650002921,310,000$
2Cal ClutterbuckX100.0078249363847178627062637377829085000361850,000$
3Riley Nash (A)XXX99.006520985481749065936669718676692550003521,210,000$
4Brian Gibbons (C)XXX100.006622975967707866796668748683761550003621,210,000$
5Marc-Andre Cliche (A)XX100.006729955068537966596466727981761750003721,100,000$
6Benoit-Olivier Groulx (R)XX100.00783294839080996782676868784744595000241700,000$
7Kyle RauXXX100.00673184786675837665717658756152305000312950,000$
8Leo KomarovXX100.0059299645726181637364647173807155000371851,000$
9Cole SmithX100.00845583748776876170656573755858465000282850,000$
10Austin WatsonXX100.00838363739070946070606470757170355000321991,000$
11John Beecher (R)XX99.00814090878977996788706874704343685000232800,000$
12Cole Schwindt (R)XX100.00733599788174926687696467704343625000232600,000$
13Cody GoloubefX100.00733061597970805050494686767266305000341851,000$
14Niklas HjalmarssonX100.0084354647806688493247479169969385000372900,000$
15Gabriel CarlssonX99.007030867490848554535552887853505850002711,000,000$
16Gavin BayreutherX100.007024877483799942704542847463614250003011,000,000$
17Mattias Samuelsson (R)X100.00833092749482715050525294704646745000242800,000$
18Dennis Cholowski (R)X100.00703093688677994950485088705353655000261800,000$
Rayé
1Scott WilsonXX100.00743675698170886770656657766153375000323500,000$
2Anton StralmanX100.00632980537171985150444586698473195000371851,000$
MOYENNE D’ÉQUIPE99.8573348567817388606760617675666237500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matt Keetley99.0054808283729089878766729997850003921,100,000$
2Darcy Kuemper100.0063918783808685858587767877465000342981,000$
Rayé
1Miika Wiikman100.006381787470878885866862999515000391651,000$
MOYENNE D’ÉQUIPE99.676084828074888786867470929018500
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/RW803744811828082963379524810.98%8156119.5281422712650001116156.87%51700011.0400000546
2Kyle RauTexas (DAL)C/LW/RW793834721424097733449421511.05%4154119.529101980263000065242.86%11900010.9300000486
3John BeecherTexas (DAL)C/LW69283967185951301392366519911.86%13129718.8038113716020271545054.17%97100201.0300010466
4Cole SchwindtTexas (DAL)C/RW801645611427589132201481747.96%10153319.172151751265000002250.89%168800000.8000010364
5Brian GibbonsTexas (DAL)C/LW/RW792332553116043742216815610.41%12148318.782354221810191335153.91%24300010.7401000244
6Gabriel CarlssonTexas (DAL)D7974148214957886140461085.00%119178622.613811612570114246000%000000.5414100122
7Riley NashTexas (DAL)C/LW/RW8021264732120371601976312410.66%4150518.814483223100041031355.57%188400110.6224000032
8Mattias SamuelssonTexas (DAL)D7263844138159986115441115.22%130165322.96189532260223210000%000000.5300000202
9Oscar FantenbergDallasD7010304016360477411939888.40%103157522.515611672260333184400%000000.5100000220
10Benoit-Olivier GroulxTexas (DAL)C/LW80131831-1734090134193681486.74%6116514.573252291000022151.87%104500000.5300000102
11Dennis CholowskiTexas (DAL)D807202722420626412043765.83%123178122.27314492590002222100%000000.3000000012
12Niklas HjalmarssonTexas (DAL)D8371421161620199547621489.21%130156218.822027520001258000%000000.2700000012
13Cody GoloubefTexas (DAL)D8041418-1620108426321406.35%92121215.16123619000021030%000000.3000000010
14Gavin BayreutherTexas (DAL)D8031518-416044465212365.77%72123915.5000037000076100%000100.2900000012
15Cole SmithTexas (DAL)LW8071017137586489623697.29%97389.2300002011112341037.14%7000000.4600001200
16Leo KomarovTexas (DAL)LW/RW808715-116018519821768.16%3114514.320002200000732052.90%13800000.2600000002
17Austin WatsonTexas (DAL)LW/RW8031013837547193817367.89%33524.4100000000030053.33%3000000.7400010000
18Scott WilsonTexas (DAL)LW/RW634610-1439579349631994.17%376512.1500028000001052.17%4600000.2600001020
19Marc-Andre ClicheTexas (DAL)C/RW805510104084841112912.20%65617.020000310152320143.45%67200000.3600000102
20Guillaume LatendresseDallasLW/RW832561003152131114.29%216020.030005260000191051.52%3300000.6200000002
21Cal ClutterbuckTexas (DAL)RW2111200064185135.56%01075.12000100000101033.33%1500000.3700000000
22Anton StralmanTexas (DAL)D4101-18020101100.00%65112.760000000002000%000000.3900000000
Statistiques d’équipe totales ou en moyenne15072524517031927893514821469282383821058.93%8582478116.44468112759126074711502209381452.24%747100440.5739132274146
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)43261240.9232.4925742410713920200.87584231731
2Darcy KuemperTexas (DAL)27111330.9192.7816004174913000002645310
3Joel HoferDallas124700.9173.3165200364320111.0003122310
Statistiques d’équipe totales ou en moyenne82413270.9212.7048276521727370311180781351


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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$30,549$0$0$No---------------------------Lien
Austin WatsonTexas (DAL)LW/RW321992-01-13USANo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm991,000$35,574$0$0$No---------------------------Lien NHL
Benoit-Olivier GroulxTexas (DAL)C/LW242000-02-06FRAYes198 Lbs6 ft2NoNoProspectNoNo12024-09-20FalseFalsePro & Farm700,000$25,128$0$0$No---------------------------
Brian GibbonsTexas (DAL)C/LW/RW361988-02-26USANo176 Lbs5 ft8NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm1,210,000$43,436$0$0$No1,210,000$--------1,210,000$--------No--------Lien
Cal ClutterbuckTexas (DAL)RW361987-11-18CANNo212 Lbs6 ft0NoNoFree AgentNoNo12024-09-21FalseFalsePro & Farm850,000$30,513$0$0$No---------------------------Lien / Lien NHL
Cody GoloubefTexas (DAL)D341989-11-30CANNo203 Lbs6 ft1NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm851,000$30,549$0$0$No---------------------------Lien
Cole SchwindtTexas (DAL)C/RW232001-04-25CANYes182 Lbs6 ft2NoNoProspectNoNo22025-10-16FalseFalsePro & Farm600,000$21,538$0$0$No600,000$--------600,000$--------No--------
Cole SmithTexas (DAL)LW281995-10-28USANo195 Lbs6 ft3NoNoN/ANoNo22024-09-16FalseFalsePro & Farm850,000$30,513$0$0$No850,000$--------850,000$--------No--------Lien NHL
Darcy KuemperTexas (DAL)G341990-05-05CANNo220 Lbs6 ft5NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm981,000$35,215$0$0$No981,000$--------981,000$--------No--------Lien / Lien NHL
Dennis CholowskiTexas (DAL)D261998-02-15CANYes210 Lbs6 ft2NoNoProspectNoNo12025-10-17FalseFalsePro & Farm800,000$28,718$0$0$No---------------------------
Devin ShoreTexas (DAL)C/LW/RW291994-07-09CANNo212 Lbs6 ft1NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,310,000$47,026$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$35,897$0$0$No---------------------------Lien
Gavin BayreutherTexas (DAL)D301994-05-12USANo196 Lbs6 ft1NoNoN/ANoNo12025-09-09FalseFalsePro & Farm1,000,000$35,897$0$0$No---------------------------
John BeecherTexas (DAL)C/LW232001-04-05USAYes215 Lbs6 ft3NoNoProspectNoNo22025-10-16FalseFalsePro & Farm800,000$28,718$0$0$No800,000$--------800,000$--------No--------
Kyle RauTexas (DAL)C/LW/RW311992-10-24USANo179 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm950,000$34,103$0$0$No950,000$--------950,000$--------No--------Lien
Leo KomarovTexas (DAL)LW/RW371987-01-23ESTNo203 Lbs5 ft11NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm851,000$30,549$0$0$No---------------------------Lien
Marc-Andre ClicheTexas (DAL)C/RW371987-03-23CANNo205 Lbs6 ft1NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm1,100,000$39,487$0$0$No1,100,000$--------1,100,000$--------No--------
Matt KeetleyTexas (DAL)G391985-01-10CANNo230 Lbs6 ft2NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,100,000$39,487$0$0$No1,100,000$--------1,100,000$--------No--------
Mattias SamuelssonTexas (DAL)D242000-03-14USAYes231 Lbs6 ft4NoNoProspectNoNo22025-10-17FalseFalsePro & Farm800,000$28,718$0$0$No800,000$--------800,000$--------No--------
Miika WiikmanTexas (DAL)G391984-10-17SWENo190 Lbs5 ft11NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm651,000$23,369$0$0$No---------------------------
Niklas HjalmarssonTexas (DAL)D371987-06-06CANNo214 Lbs6 ft3NoNoTrade2026-04-26NoNo22025-09-30FalseFalsePro & Farm900,000$32,308$0$0$No900,000$--------900,000$--------No--------
Riley NashTexas (DAL)C/LW/RW351989-05-09CANNo208 Lbs6 ft1NoNoFree Agent2024-10-02NoNo22025-09-24FalseFalsePro & Farm1,210,000$43,436$0$0$No1,210,000$--------1,210,000$--------No--------Lien
Scott WilsonTexas (DAL)LW/RW321992-04-24CANNo189 Lbs5 ft11NoNoFree AgentNoNo32025-10-30FalseFalsePro & Farm500,000$17,949$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2331.74203 Lbs6 ft11.61906,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle RauDevin ShoreCole Schwindt36023
2Benoit-Olivier GroulxJohn BeecherRiley Nash34023
3Cole SmithBrian GibbonsLeo Komarov30032
4Austin WatsonMarc-Andre ClicheCal Clutterbuck0050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonNiklas Hjalmarsson36032
2Dennis CholowskiGabriel Carlsson34032
3Cody GoloubefGavin Bayreuther20041
4Cody GoloubefGavin Bayreuther10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle RauDevin ShoreCole Schwindt50005
2Benoit-Olivier GroulxJohn BeecherRiley Nash50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonNiklas Hjalmarsson50014
2Dennis CholowskiGabriel Carlsson50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley NashCole Smith50041
2John BeecherMarc-Andre Cliche50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonNiklas Hjalmarsson50050
2Dennis CholowskiGabriel Carlsson50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Nash50050Mattias SamuelssonNiklas Hjalmarsson50050
2John Beecher50050Dennis CholowskiGabriel Carlsson50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Devin ShoreKyle Rau50023
2John BeecherRiley Nash50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonNiklas Hjalmarsson50041
2Dennis CholowskiGabriel Carlsson50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brian GibbonsDevin ShoreCole SchwindtMattias SamuelssonNiklas Hjalmarsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brian GibbonsJohn BeecherRiley NashMattias SamuelssonNiklas Hjalmarsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Leo Komarov, Riley Nash, Cole SchwindtBenoit-Olivier Groulx, Devin ShoreLeo Komarov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gavin Bayreuther, Cody Goloubef, Niklas HjalmarssonDennis CholowskiGabriel Carlsson, Mattias Samuelsson
Tirs de pénalité
Benoit-Olivier Groulx, Riley Nash, Brian Gibbons, Devin Shore, Marc-Andre Cliche
Gardien
#1 : Darcy Kuemper, #2 : Matt Keetley
Lignes d’attaque personnalisées en prolongation
Devin Shore, Kyle Rau, Cal Clutterbuck, Cole Schwindt, Brian Gibbons, John Beecher, Benoit-Olivier Groulx, Leo Komarov, Riley Nash, Cole Smith
Lignes de défense personnalisées en prolongation
Gabriel Carlsson, Dennis Cholowski, Mattias Samuelsson, Cody Goloubef, Niklas Hjalmarsson


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
1Abbotsford540000012381522000000113832000001125790.9002342650176947551858599289552715563428511218.18%21290.48%11637307253.29%1627308852.69%639125251.04%1915128718536221069535
2Bakersfield42100100111102110000056-12100010065150.625111930007694755122859928955271333528701400.00%14471.43%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
3Bridgeport321000008711010000013-22200000074340.6678142200769475591859928955271092024411317.69%12375.00%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
4Charlotte2010001046-2100000103211010000014-320.50046100076947556485992895527893124347114.29%12191.67%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
5Cleveland2110000067-11010000024-21100000043120.5006121800769475585859928955276820104711327.27%30100.00%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
6Coachella Valley421010001064201010004402200000062460.750101727017694755140859928955271262430601600.00%15286.67%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
7Eagles4120100012102211000006422010100066040.5001223350176947551248599289552714349376515213.33%15193.33%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
8Grand Rapids21100000761110000005231010000024-220.50071118007694755698599289552763911299111.11%30100.00%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
9Hartford32000100862210001005501100000031250.833815230076947551218599289552710430265812216.67%12283.33%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
10Hershey22000000752110000003211100000043141.000712190076947556885992895527612124324125.00%10280.00%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
11Iowa330000001257220000009361100000032161.000122032007694755113859928955279823205115213.33%9188.89%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
12Laval2010010068-21000010045-11010000023-110.250611170076947556385992895527721827325120.00%11281.82%11637307253.29%1627308852.69%639125251.04%1915128718536221069535
13Lehigh Valley21100000550110000003031010000025-320.50058130176947555285992895527732110249222.22%50100.00%11637307253.29%1627308852.69%639125251.04%1915128718536221069535
14Manitoba742001002416853100100151232110000094590.64324426600769475524785992895527193615010223313.04%22386.36%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
15Ontario41300000815-720200000411-72110000044020.25081523007694755131859928955271464027711715.88%12283.33%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
16Providence2010010059-41010000003-31000010056-110.2505101500769475584859928955277516162111218.18%7271.43%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
17Rochester21100000761110000004221010000034-120.50071320007694755678599289552777141634400.00%8187.50%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
18Rockford73400000211652020000036-3532000001810860.42921406101769475522185992895527245675710925520.00%24579.17%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
19San Diego522000102118331100010161332110000055060.6002136570076947551688599289552716952537423730.43%19573.68%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
20San Jose403000101217-520100010810-22020000047-320.2501221331076947551308599289552716239346414214.29%17664.71%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
21Springfield321000001192110000004222110000077040.66711193000769475599859928955278532355716425.00%15380.00%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
22Syracuse3020010069-31010000012-12010010057-210.1676101600769475513885992895527126342858500.00%13284.62%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
23Utica 3120000012752110000010461010000023-120.33312213300769475597859928955278916245214321.43%11281.82%11637307253.29%1627308852.69%639125251.04%1915128718536221069535
24Wilkes-Barre/Scranton2110000047-3110000004311010000004-420.500471100769475581859928955277791044600.00%5260.00%01637307253.29%1627308852.69%639125251.04%1915128718536221069535
Total803632026312502193140181501330130111194018170130112010812890.556250444694157694755276085992895527273874466313142994515.05%2955382.03%41637307253.29%1627308852.69%639125251.04%1915128718536221069535
_Since Last GM Reset803632026312502193140181501330130111194018170130112010812890.556250444694157694755276085992895527273874466313142994515.05%2955382.03%41637307253.29%1627308852.69%639125251.04%1915128718536221069535
_Vs Conference5024190222116513134251110011208574112513901101805723590.59016529445914769475516808599289552716554854138081892814.81%1833481.42%11637307253.29%1627308852.69%639125251.04%1915128718536221069535
_Vs Division2413901100805624127400100372710126501000432914290.6048014422402769475580485992895527764232199384941617.02%851384.71%01637307253.29%1627308852.69%639125251.04%1915128718536221069535

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089W125044469427602738744663131415
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8036322631250219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018151330130111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4018171301120108
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2994515.05%2955382.03%4
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
859928955277694755
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
1637307253.29%1627308852.69%639125251.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1915128718536221069535


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
126672Cleveland4Texas2LSommaire du match
131695Ontario6Texas1LSommaire du match
135717Manitoba2Texas1LSommaire du match
137736Texas4Cleveland3WSommaire du match
138742Springfield2Texas4WSommaire du match
141763Bridgeport3Texas1LSommaire du match
142769Texas1Charlotte4LSommaire du match
147790Hartford1Texas2WSommaire du match
151810Coachella Valley1Texas0LSommaire du match
153823Texas2Manitoba3LSommaire du match
155836Abbotsford0Texas7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157846Texas4Bakersfield2WSommaire du match
160861Hartford4Texas3LXSommaire du match
161871Texas7Manitoba1WSommaire du match
163884Manitoba3Texas5WSommaire du match
165894Texas3Iowa2WSommaire du match
169912Rockford3Texas1LSommaire du match
171920Texas5Rockford3WSommaire du match
174937Abbotsford3Texas4WSommaire du match
177950Texas2San Diego4LSommaire du match
179960Eagles1Texas4WSommaire du match
183976Texas4Hershey3WSommaire du match
186985Rockford3Texas2LSommaire du match
188997Texas3San Diego1WSommaire du match
1921009Springfield-Texas-
1941023Texas-Iowa-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance72,92136,859
Assistance PCT91.15%92.15%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2745 - 91.48% 129,988$5,199,510$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,990,332$ 2,085,600$ 2,085,600$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,695$ 2,026,242$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
129,988$ 7 15,824$ 110,768$




Texas Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Texas Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Texas Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Texas Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Texas Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA