Texas Stars

GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 8
GF: 22 | GA: 16 | PP%: 14.71% | PK%: 83.33%
DG: Pierre-Olivier Lefrançois | Morale : 99 | Moyenne d'Équipe : N/A
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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 SP
1Daniel ZaarXX100.0059617366616966595060546051505019100
2Michael Dal Colle (R)X99.0083748160748468615059586555505018800
3Chris BrownX100.0076796168796363567050586355505019100
4Joonas DonskoiXX100.0060508778736971725064696550707018400
5Dryden Hunt (R)X100.0067717667717268575053576154505018600
6Drew ShoreX99.0089508872855960557362557150555612900
7Sonny MilanoX99.0069678574676865635062616358505019100
8Michael LattaX100.0056745671746563556956506150575819200
9Corey TroppXXX99.0066687768687075685065646861606118900
10Matt FrattinXXX99.0059746666747566645057637060596019100
11Sam CarrickX100.0058685865686866607558575954505018600
12Ryan BourqueXX100.0063616760616866505050505950505012900
13Chase BalisyX99.0065636566637268617659586255505019100
14Max McCormickX100.0054675769677368587350625859505019100
15Chris BreenX100.0065865865766166502550506350505018900
16Michal Rozsival (C)X100.0082508370837558602550607250859117800
17Ryan JohnstonX100.0055636670636166502553505950505013300
18Julian MelchioriX100.0093508268768083602550508150696818600
19Mathieu Brodeur (R)X100.0065836262716869502550506350505018700
20Joe Hicketts (R)X100.0054616366616971532559525850505018800
Rayé
1Jimmy LodgeX100.0059636966636763516450515850505012000
2Max GortzXX100.0058746466746966545056506450505012900
3Levko Koper (R)X100.0058716761715862535050516350505012000
4Clark Bishop (R)X100.0055706761705862506050506250505012000
5Hunter Fejes (R)X100.0062717363715360505050505950505012000
6Andrey PedanX100.0055815468716267502550505850505012200
7Colby RobakX100.0058736966736978532560556250505018500
8Ryan CulkinX100.0064757262755554502550506150505012000
MOYENNE D'ÉQUIPE99.796568706771676656485555635254541650
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
1Spencer Martin100.006376817965676468656431606318500
2Anthony Stolarz100.006979868768706469696831656618500
Rayé
MOYENNE D'ÉQUIPE100.00667884836769646967663163651850
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens73807175958379CAN5072,100,000$


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'ÉquipePOS GP 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
1Matt FrattinTexas Stars (Dal)C/LW/RW675126203132251131.82%114424.001014220000110058.39%13700211.6700000200
2Michal RozsivalTexas Stars (Dal)D62579208384725.00%515025.00112326000020010.00%000000.9300000101
3Drew ShoreTexas Stars (Dal)C616701009181021210.00%112721.26044423000010065.41%13300001.1000000100
4Sonny MilanoTexas Stars (Dal)LW62574404131321015.38%314123.590004240000190053.33%4500000.9900000010
5Michael Dal ColleTexas Stars (Dal)LW62465175191224868.33%115225.400117220001191060.00%1500000.7900010010
6Julian MelchioriTexas Stars (Dal)D514560012352320.00%411322.67112215000013100.00%000000.8800000002
7Corey TroppTexas Stars (Dal)C/LW/RW6235040413219109.52%414924.910114230000140072.73%2200000.6700000010
8Chase BalisyTexas Stars (Dal)LW6145-220104172155.88%213622.76112624000000085.71%700000.7300000001
9Chris BreenTexas Stars (Dal)D6123-31157651420.00%813823.09101320000018000.00%000000.4300001000
10Dryden HuntTexas Stars (Dal)LW61121202385512.50%1335.56000230001610100.00%100001.2000000000
11Mathieu BrodeurTexas Stars (Dal)D6022-3801248230.00%1114724.59011421000017000.00%000000.2700000000
12Daniel ZaarTexas Stars (Dal)C/LW61010404292511.11%09215.480003130001170166.67%5100000.2200000010
13Ryan JohnstonTexas Stars (Dal)D41011201120150.00%25413.580000900006100.00%000000.3700000000
14Joe HickettsTexas Stars (Dal)D4011000020210.00%4348.520000700002000.00%000000.5900000000
15Chris BrownTexas Stars (Dal)C6000040110110.00%1172.9000000000040062.50%800000.0000000000
16Joonas DonskoiTexas Stars (Dal)LW/RW2000120103100.00%0189.300000200002000.00%000000.0000000000
17Max GortzTexas Stars (Dal)C/LW4000000100010.00%030.80000000000000100.00%100000.0000000000
18Michael LattaTexas Stars (Dal)LW6000020000010.00%010.320000000000000.00%000000.0000000000
19Andrey PedanTexas Stars (Dal)D2000100000000.00%0136.910000000003000.00%000000.0000000000
20Colby RobakTexas Stars (Dal)D3000120131010.00%17525.22000011000012000.00%000000.0000000000
21Sam CarrickTexas Stars (Dal)C6000000000000.00%010.290000000000000.00%000000.0000000000
22Ryan BourqueTexas Stars (Dal)LW/RW6000200222010.00%0274.560001600000000.00%000000.0000000000
23Max McCormickTexas Stars (Dal)C6000000000000.00%000.150000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne120224264297810101103158489813.92%49177614.80510154728000031954262.62%42000210.7200011444
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
1Spencer MartinTexas Stars (Dal)64110.8812.6236700161350000.000060000
Stats d'équipe Total ou en Moyenne64110.8812.6236700161350000.000060000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrey PedanTexas Stars (Dal)D231993-07-07No214 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Anthony StolarzTexas Stars (Dal)G221994-01-19No210 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Chase BalisyTexas Stars (Dal)LW241992-02-02No170 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Chris BreenTexas Stars (Dal)D271989-06-29No224 Lbs6 ft7NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chris BrownTexas Stars (Dal)C251991-02-03No215 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Clark BishopTexas Stars (Dal)C201996-03-28Yes194 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Colby RobakTexas Stars (Dal)D261990-04-24No194 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Corey TroppTexas Stars (Dal)C/LW/RW271989-07-25No185 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Daniel ZaarTexas Stars (Dal)C/LW221994-04-23No167 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm665,000$0$0$No
Drew ShoreTexas Stars (Dal)C251991-01-28No205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Dryden HuntTexas Stars (Dal)LW211995-11-26Yes197 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Hunter FejesTexas Stars (Dal)LW221994-05-31Yes190 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Jimmy LodgeTexas Stars (Dal)LW211995-03-04No166 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm805,000$0$0$No805,000$
Joe HickettsTexas Stars (Dal)D201996-05-03Yes175 Lbs5 ft8NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Joonas DonskoiTexas Stars (Dal)LW/RW241992-04-13No180 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Julian MelchioriTexas Stars (Dal)D251991-12-05No214 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Levko KoperTexas Stars (Dal)LW261990-10-05Yes190 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Mathieu BrodeurTexas Stars (Dal)D261990-06-20Yes215 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Matt FrattinTexas Stars (Dal)C/LW/RW291988-01-03No205 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Max GortzTexas Stars (Dal)C/LW231993-01-28No196 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm617,000$0$0$No
Max McCormickTexas Stars (Dal)C241992-05-01No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Michael Dal ColleTexas Stars (Dal)LW201996-06-19Yes198 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Michael LattaTexas Stars (Dal)LW251991-05-25No209 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Michal RozsivalTexas Stars (Dal)D381978-09-03No210 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm800,000$0$0$No800,000$800,000$
Ryan BourqueTexas Stars (Dal)LW/RW261991-01-02No170 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan CulkinTexas Stars (Dal)D231993-12-25No201 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Ryan JohnstonTexas Stars (Dal)D241992-02-14No176 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Sam CarrickTexas Stars (Dal)C241992-02-04No188 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Sonny MilanoTexas Stars (Dal)LW201996-05-11No183 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Spencer MartinTexas Stars (Dal)G211995-06-07No200 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm894,000$0$0$No894,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.10194 Lbs6 ft12.50422,700$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Corey TroppDrew ShoreChase Balisy40122
2Sonny MilanoMatt FrattinMichael Dal Colle30122
3Michael Dal ColleDrew ShoreCorey Tropp20122
4Chase BalisyMatt FrattinSonny Milano10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BreenMathieu Brodeur40122
2Michal RozsivalJulian Melchiori30122
3Mathieu BrodeurMichal Rozsival20122
4Mathieu BrodeurMichal Rozsival10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Corey TroppDrew ShoreChase Balisy60122
2Sonny MilanoMatt FrattinMichael Dal Colle40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mathieu BrodeurChris Breen60122
2Michal RozsivalJulian Melchiori40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sonny MilanoMichael Dal Colle60122
2Corey TroppMatt Frattin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mathieu BrodeurChris Breen60122
2Michal RozsivalJulian Melchiori40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Corey Tropp60122Chris BreenMathieu Brodeur60122
2Matt Frattin40122Michal RozsivalJulian Melchiori40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sonny MilanoMichael Dal Colle60122
2Corey TroppMatt Frattin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mathieu BrodeurChris Breen60122
2Michal RozsivalJulian Melchiori40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Corey TroppMatt FrattinSonny MilanoMichal RozsivalJulian Melchiori
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Corey TroppMatt FrattinSonny MilanoMichal RozsivalJulian Melchiori
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Frattin, Daniel Zaar, Corey TroppMatt Frattin, Daniel ZaarCorey Tropp
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mathieu Brodeur, Chris Breen, Michal RozsivalMathieu BrodeurMathieu Brodeur, Michal Rozsival
Tirs de Pénalité
Daniel Zaar, Michael Dal Colle, Corey Tropp, Matt Frattin, Sonny Milano
Gardien
#1 : Spencer Martin, #2 : Anthony Stolarz


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
1Oklahoma City Barons642000002216632100000118332100000118380.66722426400510701583866513135497810134514.71%30583.33%09715761.78%9816459.76%689968.69%164117129427439
Total642000002216632100000118332100000118380.66722426400510701583866513135497810134514.71%30583.33%09715761.78%9816459.76%689968.69%164117129427439
_Since Last GM Reset642000002216632100000118332100000118380.66722426400510701583866513135497810134514.71%30583.33%09715761.78%9816459.76%689968.69%164117129427439
_Vs Conference642000002216632100000118332100000118380.66722426400510701583866513135497810134514.71%30583.33%09715761.78%9816459.76%689968.69%164117129427439

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
68W3224264158135497810100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
64200002216
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000118
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3210000118
Derniers 10 Matchs
WLOTWOTL SOWSOL
410100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
34514.71%30583.33%0
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
386651351070
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
9715761.78%9816459.76%689968.69%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
164117129427439


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
2 - 2018-04-085Oklahoma City Barons3Texas Stars2LXSommaire du Match
4 - 2018-04-1013Oklahoma City Barons1Texas Stars3WSommaire du Match
6 - 2018-04-1221Texas Stars2Oklahoma City Barons4LSommaire du Match
8 - 2018-04-1429Texas Stars5Oklahoma City Barons2WSommaire du Match
10 - 2018-04-1637Oklahoma City Barons4Texas Stars6WSommaire du Match
12 - 2018-04-1845Texas Stars4Oklahoma City Barons2WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 126,810$ 95,898$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$




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
126420000022166321000001183321000001183822426400510701583866513135497810134514.71%30583.33%09715761.78%9816459.76%689968.69%164117129427439
Total Séries6420000022166321000001183321000001183822426400510701583866513135497810134514.71%30583.33%09715761.78%9816459.76%689968.69%164117129427439