Texas Stars
GP: 41 | W: 24 | L: 13 | OTL: 4 | P: 52
GF: 176 | GA: 171 | PP%: 28.42% | PK%: 65.25%
DG: Alain Belanger | Morale : 58 | Moyenne d'Équipe : 58
Prochain matchs #635 vs Portland Pirates
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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
1Glenn GawdinXX99.007571846471747666806761655844446576620231700,000$
2Luke JohnsonX100.007170726770707264805667636445456673610261700,000$
3Colin BlackwellXX100.008144886467576861637160635957576570610272725,000$
4Josh CurrieXX100.007069716569788264805667626445456670610281700,000$
5Michael Dal ColleXX100.008044926674617560566058622555566366600241700,000$
6Laurent DauphinXXX100.007168796468727660755660625747476376590251700,000$
7Phil VaroneXXX100.007468876068666859746250644849495971580301700,000$
8Danick MartelXX100.006257736257626363505763616055556269580261700,000$
9Matthew Strome (R)X100.008278925578616449504548644644445670540221775,000$
10Joseph CramarossaXX100.006070386770677153504753555046465561540281700,000$
11Spencer SmallmanX100.007773856273575950505046624444445462540241741,667$
12Cale Fleury (R)X100.009046947774647353253947692547475938620222771,666$
13Zach RedmondX100.0079768765767176552551416839595957706203211,500,000$
14Cal FooteX100.008383826183788552254842664044445672610222925,000$
15Brandon ManningX100.0074786367785759552551396737656654686003011,000,000$
16Juuso RiikolaX100.0086459473666359682552485825535359726002721,150,000$
17Luke WitkowskiXX100.009797707180495852255249602556575979600301700,000$
18Francois BeaucheminX100.007671895771454550253739713783895163591401700,000$
Rayé
1Dylan McLaughlin (R)X100.007567926767555750634846614444445520530251500,000$
2Joshua JacobsX100.007975886775738048253942634044445559590251700,000$
MOYENNE D'ÉQUIPE99.95776881657264685749525163445152596559
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 SP
1Malcolm Subban99.00585453786253596162579552524968590
2Mike Condon100.00444256764142505145463044443869490
Rayé
MOYENNE D'ÉQUIPE99.5051485577524855565452634848446954
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Murphy37675960473551USA35260,000$


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
1Glenn GawdinTexas Stars (DAL)C/RW40285381154935741141925812414.58%3598324.595121713720003844255.78%12124019111.6503214653
2Colin BlackwellTexas Stars (DAL)C/LW413042722013566561545110419.48%1884420.613131616751018764151.89%1063420101.7023001833
3Josh CurrieTexas Stars (DAL)C/RW413022522283456567140387921.43%1980019.51941323750001462055.12%1273219011.3013225452
4Luke JohnsonTexas Stars (DAL)C41142438660206866134499010.45%2572017.583147551014193057.96%4712013001.0511211221
5Michael Dal ColleTexas Stars (DAL)LW/RW411516316555240117318812.82%1772817.78134462000191145.00%203514000.8512010122
6Laurent DauphinTexas Stars (DAL)C/LW/RW4192029-13925615910225648.82%1569917.06134253000131262.50%481711000.8311104111
7Danick MartelTexas Stars (DAL)C/LW4110192933010483912443788.06%1455913.65000050000151046.43%84139001.0401110023
8Phil VaroneTexas Stars (DAL)C/LW/RW41151227-812105943119375712.61%1361214.95011170110252059.01%1611714000.8800002001
9Zach RedmondTexas Stars (DAL)D372192161207052626212293.23%6994025.411451067000176000.00%01447000.4500626001
10Cal FooteTexas Stars (DAL)D410151518715551594113180.00%4990121.99055372011278000.00%0228000.3300443000
11Spencer SmallmanTexas Stars (DAL)RW337411-795383244111715.91%1542512.9100001000271130.77%13310000.5200001000
12Juuso RiikolaTexas Stars (DAL)D410101017523474413140.00%3676518.66000147000153000.00%0822000.2600100000
13Cale FleuryTexas Stars (DAL)D19279-80021243910165.13%2948725.64213537000250000.00%0320000.3700000000
14Luke WitkowskiTexas Stars (DAL)LW/D4126885030522718161611.11%2958414.26000010000018000.00%2315000.2700204010
15Brandon ManningTexas Stars (DAL)D41167549155750367132.78%4971417.42000140000036000.00%0123000.2000012000
16Matthew StromeTexas Stars (DAL)LW4015601010222615396.67%73318.28000000110260050.00%1417000.3600002000
17Joseph CramarossaTexas Stars (DAL)C/LW39325-419524192581112.00%52516.4500000000011032.65%9836000.4000010000
18Gabriel BourqueStarsLW/RW8325-1009183061910.00%615118.901013100001101056.25%1654000.6601000000
19Francois BeaucheminTexas Stars (DAL)D350440006132320.00%51995.700000400006000.00%026000.4000000000
20Joshua JacobsTexas Stars (DAL)D290118171516288470.00%1736712.6900000000015000.00%0112000.0500003000
21Sam LaffertyStarsC/LW/RW1101-4001221450.00%22525.8310113000010050.00%3801000.7700000000
22Dylan McLaughlinTexas Stars (DAL)C3000000320120.00%0196.4800000000000020.00%511000.0000000000
Stats d'équipe Total ou en Moyenne73517328946285643365868893144844086111.95%4741211616.48274774907042352766521754.62%2415255321220.76615211438222117
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
1Malcolm SubbanTexas Stars (DAL)36211120.8934.041976401331243739100.80015356202
2Mike CondonTexas Stars (DAL)133220.8584.535032038268170000.0000635001
Stats d'équipe Total ou en Moyenne49241340.8874.142479601711511909100.800154141203


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 Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brandon ManningTexas Stars (DAL)D301990-06-03No205 Lbs6 ft1YesNoNo1Pro & Farm1,000,000$0$0$NoLien
Cal FooteTexas Stars (DAL)D221998-12-13No220 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Cale FleuryTexas Stars (DAL)D221998-11-19Yes203 Lbs6 ft1NoNoNo2Pro & Farm771,666$0$0$No771,666$Lien
Colin BlackwellTexas Stars (DAL)C/LW271993-03-28No190 Lbs5 ft9NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Danick MartelTexas Stars (DAL)C/LW261994-12-12No162 Lbs5 ft8NoNoNo1Pro & Farm700,000$0$0$NoLien
Dylan McLaughlinTexas Stars (DAL)C251995-06-05Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Francois BeaucheminTexas Stars (DAL)D401980-06-04No190 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Glenn GawdinTexas Stars (DAL)C/RW231997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Joseph CramarossaTexas Stars (DAL)C/LW281992-10-26No192 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Josh CurrieTexas Stars (DAL)C/RW281992-10-29No190 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Joshua JacobsTexas Stars (DAL)D251996-02-15No201 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Juuso RiikolaTexas Stars (DAL)D271993-11-09No176 Lbs6 ft1NoNoNo2Pro & Farm1,150,000$0$0$No1,150,000$Lien
Laurent DauphinTexas Stars (DAL)C/LW/RW251995-03-27No180 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Luke JohnsonTexas Stars (DAL)C261994-09-18No198 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Luke WitkowskiTexas Stars (DAL)LW/D301990-04-14No210 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Malcolm SubbanTexas Stars (DAL)G271993-12-21No200 Lbs6 ft2NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Matthew StromeTexas Stars (DAL)LW221999-01-05Yes206 Lbs6 ft4NoNoNo1Pro & Farm775,000$0$0$No
Michael Dal ColleTexas Stars (DAL)LW/RW241996-06-19No198 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Mike CondonTexas Stars (DAL)G301990-04-26No195 Lbs6 ft2YesNoNo1Pro & Farm700,000$0$0$NoLien
Phil VaroneTexas Stars (DAL)C/LW/RW301990-12-04No193 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Spencer SmallmanTexas Stars (DAL)RW241996-09-08No200 Lbs6 ft0NoNoNo1Pro & Farm741,667$0$0$NoLien
Zach RedmondTexas Stars (DAL)D321988-07-25No208 Lbs6 ft2YesNoNo1Pro & Farm1,500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.95195 Lbs6 ft11.23788,106$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colin BlackwellGlenn GawdinJosh Currie40122
2Michael Dal ColleLuke JohnsonLaurent Dauphin30122
3Danick MartelPhil VaroneSpencer Smallman20122
4Matthew StromeJoseph CramarossaGlenn Gawdin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondCale Fleury40122
2Cal FooteJuuso Riikola30122
3Brandon ManningLuke Witkowski20122
4Francois BeaucheminZach Redmond10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colin BlackwellGlenn GawdinJosh Currie60122
2Michael Dal ColleLuke JohnsonLaurent Dauphin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondCale Fleury60122
2Cal FooteJuuso Riikola40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Glenn GawdinJosh Currie60122
2Luke JohnsonColin Blackwell40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondCale Fleury60122
2Cal FooteJuuso Riikola40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Glenn Gawdin60122Zach RedmondCale Fleury60122
2Josh Currie40122Cal FooteJuuso Riikola40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Glenn GawdinJosh Currie60122
2Luke JohnsonColin Blackwell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondCale Fleury60122
2Cal FooteJuuso Riikola40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colin BlackwellGlenn GawdinJosh CurrieZach RedmondCale Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colin BlackwellGlenn GawdinJosh CurrieZach RedmondCale Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Phil Varone, Danick Martel, Matthew StromePhil Varone, Danick MartelMatthew Strome
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Manning, Luke Witkowski, Francois BeaucheminBrandon ManningLuke Witkowski, Francois Beauchemin
Tirs de Pénalité
Glenn Gawdin, Josh Currie, Luke Johnson, Colin Blackwell, Michael Dal Colle
Gardien
#1 : Mike Condon, #2 : Malcolm Subban


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
LigueDomicileVisiteur
# 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
1Bridgeport Sound Tigers11000000532110000005320000000000021.000581300376766938452497492254713926000.00%2150.00%044382953.44%45285552.87%42473158.00%840446848385790403
2Chicago Wolves311001001315-22100010010911010000036-330.500132538003767669113452497492251153558527228.57%9544.44%044382953.44%45285552.87%42473158.00%840446848385790403
3Chicoutimi Sagueneens2110000012102110000007161010000059-420.5001221330037676697545249749225802945457342.86%5260.00%144382953.44%45285552.87%42473158.00%840446848385790403
4Drummondville Voltigeurs1010000035-21010000035-20000000000000.00035800376766933452497492252892221200.00%10100.00%044382953.44%45285552.87%42473158.00%840446848385790403
5Grand Rapids Griffins220000001174110000005321100000064241.0001120310037676697745249749225862310434125.00%5340.00%044382953.44%45285552.87%42473158.00%840446848385790403
6Laval Rockets32000100121021000010034-12200000096350.833121931003767669117452497492251173931566116.67%8450.00%044382953.44%45285552.87%42473158.00%840446848385790403
7Manchester Monarchs11000000413000000000001100000041321.000481200376766937452497492254812716200.00%110.00%044382953.44%45285552.87%42473158.00%840446848385790403
8Manitoba Moose302010001217-51000100076120200000511-620.3331220320037676691034524974922511933547010330.00%12741.67%044382953.44%45285552.87%42473158.00%840446848385790403
9Milwaukee Admirals2100001010732100001010730000000000041.0001013230037676696345249749225391117465120.00%6266.67%044382953.44%45285552.87%42473158.00%840446848385790403
10Peoria Riverman412001001222-102100010088020200000414-1030.375121830003767669140452497492251213970807342.86%15473.33%044382953.44%45285552.87%42473158.00%840446848385790403
11Philadelphia Phantoms301011001012-2100010004312010010069-330.500101828003767669103452497492251032954464250.00%7185.71%044382953.44%45285552.87%42473158.00%840446848385790403
12Portland Pirates2110000057-21010000016-51100000041320.50058130037676697045249749225571564510220.00%30100.00%044382953.44%45285552.87%42473158.00%840446848385790403
13Quebec Rempart21001000963000000000002100100096341.000918270037676696645249749225732734535240.00%7185.71%044382953.44%45285552.87%42473158.00%840446848385790403
14Seattle Thunderbirds62200020232033110001011101311000101210280.6672334570037676692134524974922524574941429111.11%17288.24%044382953.44%45285552.87%42473158.00%840446848385790403
15Sherbrooke Phoenix11000000312110000003120000000000021.000347003767669384524974922518102429200.00%2150.00%044382953.44%45285552.87%42473158.00%840446848385790403
16Toronto Marlies1010000069-31010000069-30000000000000.00061016003767669314524974922540627204250.00%6266.67%044382953.44%45285552.87%42473158.00%840446848385790403
17Victoriaville Tigres10100000410-60000000000010100000410-600.00048120037676693345249749225532627214125.00%6433.33%044382953.44%45285552.87%42473158.00%840446848385790403
18Worcester Sharks33000000229131100000082622000000147761.000223254003767669101452497492251224962577342.86%6183.33%144382953.44%45285552.87%42473158.00%840446848385790403
Total4118130343017617152094023209177142199011108594-9520.6341762894650037676691451452497492251511479651868952728.42%1184165.25%244382953.44%45285552.87%42473158.00%840446848385790403
_Since Last GM Reset4118130343017617152094023209177142199011108594-9520.6341762894650037676691451452497492251511479651868952728.42%1184165.25%244382953.44%45285552.87%42473158.00%840446848385790403
_Vs Conference3415100342014613881572023106955141988011107783-6440.6471462413870037676691216452497492251285405527715762330.26%963167.71%244382953.44%45285552.87%42473158.00%840446848385790403
_Vs Division116500220553619622002102919105430001026179180.81855791340037676693774524974922540613417324521523.81%29582.76%144382953.44%45285552.87%42473158.00%840446848385790403

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4152W21762894651451151147965186800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4118133430176171
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209423209177
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
219911108594
Derniers 10 Matchs
WLOTWOTL SOWSOL
450100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
952728.42%1184165.25%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
452497492253767669
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
44382953.44%45285552.87%42473158.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
840446848385790403


Derniers Match 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 - 2020-11-106Portland Pirates6Texas Stars1LSommaire du Match
3 - 2020-11-1228Texas Stars5Seattle Thunderbirds4WXXSommaire du Match
4 - 2020-11-1334Texas Stars1Peoria Riverman5LSommaire du Match
6 - 2020-11-1551Texas Stars1Seattle Thunderbirds4LSommaire du Match
7 - 2020-11-1661Peoria Riverman4Texas Stars3LXSommaire du Match
9 - 2020-11-1879Seattle Thunderbirds3Texas Stars5WSommaire du Match
10 - 2020-11-1987Texas Stars7Worcester Sharks5WSommaire du Match
13 - 2020-11-22113Laval Rockets4Texas Stars3LXSommaire du Match
14 - 2020-11-23119Texas Stars3Laval Rockets2WSommaire du Match
16 - 2020-11-25141Seattle Thunderbirds2Texas Stars3WXXSommaire du Match
17 - 2020-11-26157Texas Stars4Portland Pirates1WSommaire du Match
19 - 2020-11-28174Milwaukee Admirals4Texas Stars5WXXSommaire du Match
21 - 2020-11-30193Worcester Sharks2Texas Stars8WSommaire du Match
23 - 2020-12-02208Texas Stars7Worcester Sharks2WSommaire du Match
25 - 2020-12-04223Texas Stars3Philadelphia Phantoms4LXSommaire du Match
26 - 2020-12-05237Peoria Riverman4Texas Stars5WSommaire du Match
28 - 2020-12-07250Texas Stars1Manitoba Moose6LSommaire du Match
29 - 2020-12-08261Texas Stars6Grand Rapids Griffins4WSommaire du Match
31 - 2020-12-10278Milwaukee Admirals3Texas Stars5WSommaire du Match
33 - 2020-12-12297Manitoba Moose6Texas Stars7WXSommaire du Match
35 - 2020-12-14311Texas Stars4Quebec Rempart3WXSommaire du Match
36 - 2020-12-15326Philadelphia Phantoms3Texas Stars4WXSommaire du Match
38 - 2020-12-17339Texas Stars3Philadelphia Phantoms5LSommaire du Match
40 - 2020-12-19356Texas Stars4Manitoba Moose5LSommaire du Match
41 - 2020-12-20369Drummondville Voltigeurs5Texas Stars3LSommaire du Match
43 - 2020-12-22389Sherbrooke Phoenix1Texas Stars3WSommaire du Match
44 - 2020-12-23399Texas Stars4Manchester Monarchs1WSommaire du Match
47 - 2020-12-26420Grand Rapids Griffins3Texas Stars5WSommaire du Match
49 - 2020-12-28440Chicago Wolves4Texas Stars6WSommaire du Match
51 - 2020-12-30453Texas Stars3Peoria Riverman9LSommaire du Match
53 - 2021-01-01467Texas Stars5Quebec Rempart3WSommaire du Match
54 - 2021-01-02479Texas Stars5Chicoutimi Sagueneens9LSommaire du Match
56 - 2021-01-04495Seattle Thunderbirds5Texas Stars3LSommaire du Match
57 - 2021-01-05509Texas Stars4Victoriaville Tigres10LSommaire du Match
59 - 2021-01-07524Bridgeport Sound Tigers3Texas Stars5WSommaire du Match
61 - 2021-01-09542Texas Stars3Chicago Wolves6LSommaire du Match
62 - 2021-01-10554Texas Stars6Laval Rockets4WSommaire du Match
63 - 2021-01-11558Toronto Marlies9Texas Stars6LSommaire du Match
65 - 2021-01-13585Chicago Wolves5Texas Stars4LXSommaire du Match
67 - 2021-01-15605Chicoutimi Sagueneens1Texas Stars7WSommaire du Match
68 - 2021-01-16615Texas Stars6Seattle Thunderbirds2WSommaire du Match
71 - 2021-01-19635Texas Stars-Portland Pirates-
72 - 2021-01-20644Boisbriand Armada-Texas Stars-
75 - 2021-01-23668Calgary Hitman-Texas Stars-
76 - 2021-01-24680Texas Stars-Hartford Wolf Pack-
78 - 2021-01-26693Texas Stars-Grand Rapids Griffins-
79 - 2021-01-27710Brampton Battalion-Texas Stars-
81 - 2021-01-29727Texas Stars-Portland Pirates-
82 - 2021-01-30740Rochester Americans-Texas Stars-
84 - 2021-02-01759Texas Stars-Chicoutimi Sagueneens-
85 - 2021-02-02772Laval Rockets-Texas Stars-
87 - 2021-02-04787Texas Stars-Grand Rapids Griffins-
89 - 2021-02-06802London Knights-Texas Stars-
91 - 2021-02-08823Lowell Devils-Texas Stars-
93 - 2021-02-10838Texas Stars-Bridgeport Sound Tigers-
94 - 2021-02-11851Texas Stars-Toronto Marlies-
96 - 2021-02-13864Peoria Riverman-Texas Stars-
97 - 2021-02-14872Texas Stars-Lake Erie Monsters-
100 - 2021-02-17898Las Vegas Wranglers-Texas Stars-
102 - 2021-02-19917Texas Stars-Rochester Americans-
103 - 2021-02-20926Hershey Bears-Texas Stars-
106 - 2021-02-23951Las Vegas Wranglers-Texas Stars-
108 - 2021-02-25969Texas Stars-Worcester Sharks-
110 - 2021-02-27982Hartford Wolf Pack-Texas Stars-
111 - 2021-02-28992Texas Stars-Seattle Thunderbirds-
113 - 2021-03-021009Quebec Rempart-Texas Stars-
114 - 2021-03-031021Texas Stars-Hershey Bears-
116 - 2021-03-051042Binghampton Senators-Texas Stars-
118 - 2021-03-071061Portland Pirates-Texas Stars-
119 - 2021-03-081077Texas Stars-Rimouski Oceanic-
120 - 2021-03-091080Texas Stars-Bridgeport Sound Tigers-
123 - 2021-03-121106Hartford Wolf Pack-Texas Stars-
124 - 2021-03-131123Rimouski Oceanic-Texas Stars-
126 - 2021-03-151133Texas Stars-Laval Rockets-
128 - 2021-03-171153Texas Stars-Rimouski Oceanic-
130 - 2021-03-191169Portland Pirates-Texas Stars-
132 - 2021-03-211190Hershey Bears-Texas Stars-
133 - 2021-03-221194Texas Stars-Peoria Riverman-
135 - 2021-03-241213Texas Stars-Lowell Devils-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
138 - 2021-03-271231Laval Rockets-Texas Stars-
141 - 2021-03-301250Texas Stars-Lowell Devils-
144 - 2021-04-021271Worcester Sharks-Texas Stars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance30,36815,171
Assistance PCT75.92%75.86%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
21 2277 - 75.90% 96,138$1,922,764$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
854,066$ 1,733,834$ 1,738,917$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 854,066$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,018,902$ 75 12,371$ 927,825$




LigueDomicileVisiteur
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