Pantheres

GP: 17 | W: 16 | L: 1
GF: 46 | GA: 21 | PP%: 33.33% | PK%: 84.31%
DG: Keven Richard | Morale : 50 | Moyenne d'Équipe : 64
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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
1Michael RafflX100.00853884846272855752546182587584021750
2Carter Rowney (A)X100.00953592846869685664545888557285032750
3Nikita Gusev (R)X100.00462587874478807060726562706345050740
4Dmitrij JaskinX100.00853593817167665149495463536072050680
5Colby Cave (R)X100.00693592836468644961455366525767050660
6Conor Garland (R)X100.00563393884667575448456365655164050650
7Juho Lammikko (R)X100.00603594856364484855465070505163050640
8Pavel Datsyuk (C)X100.00483195835855325047465358549984050630
9Kurtis Gabriel (R)X100.00775287847058274749425262516069050630
10Iiro PakarinenX100.00643395816857374845435364526670050630
11Josh JoorisX100.00543294846358424849435262526970050620
12Laurent DauphinX100.00493495865756264649405162505460050590
13Ryan Graves (R)X100.00813986847673816649597192675477058810
14Andrew MacDonald (A)X100.00583389846271715851595679558183024740
15Brandon ManningX100.0078508783636763565053597057697805071X0
16Carl Dahlstrom (R)X100.00573394807764465148515071505465050670
17Klas DahlbeckX100.00583494836757364849475260516669050630
18Jeremy Lauzon (R)X100.00503195836255254947455265514859050610
Rayé
1Vinni Lettieri (R)X100.00593493845770334748425159505462050610
2Nikita SoshnikovX100.00663494855559364848425360526067050610
3Jim O'BrienX100.00463295846653254545405059507269050590
4Karson Kuhlman (R)X100.00473495855558254848425358525460050590
5Ben SextonX100.00463295825952254543405057506665050580
6Tyler Gaudet (R)X100.00453095837050254540405055506062050580
7Giovanni Fiore (R)X100.00453095846250254540405055505157050570
8Michael Sgarbossa (R)X100.00453095855750254540405055506363050570
9Curtis Valk (R)X100.00453095864650254540405055506062050560
10Shane Gersich (R)X100.00453095865250254540405055505157050560
11Matt BartkowskiX100.00513395846059264950465257517572050620
12Zach RedmondX100.00503295826756254850485058507572050620
13Brady Keeper (R)X100.00463195856150254847455055505158050580
14Nelson Nogier (R)X100.00453195856050254847455055505158050580
15Trevor Murphy (R)X100.00453095854850254548455055505460050570
MOYENNE D'ÉQUIPE100.0057349384615941504846536353626704863
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
1Casey DeSmith100.0080426169868081798365586569042760
2Samuel Montembeault (R)100.0074257678717276747369594550049670
Rayé
1Ondrej Pavelec100.0070308279666870696965588169050660
2Spencer Martin (R)100.0060257778576060606065554947050570
MOYENNE D'ÉQUIPE100.007131747670707271716658605904867
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery77828182717375CAN5031,250,000$


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
1Nikita GusevPantheres (NYI)LW17812202100212371174711.27%1235621.0037107400001332045.00%203313001.1200000131
2Carter RowneyPantheres (NYI)C176142034026418129487.41%938922.91012127421011392057.67%567267101.0300000311
3Andrew MacDonaldPantheres (NYI)D17510156120203033122015.15%3247628.05516848000042100.00%01327000.6300000121
4Colby CavePantheres (NYI)C170885003229183160.00%228816.990441300000110052.00%22549000.5500000001
5Conor GarlandPantheres (NYI)RW1744854015144220259.52%527516.19123230000102073.33%15249000.5800000012
6Ryan GravesPantheres (NYI)D862818019192451325.00%1321526.94426521000023310.00%01012000.7400000201
7Michael RafflPantheres (NYI)LW8336415512173921187.69%217321.641123190111210041.67%12114000.6900000010
8Juho LammikkoPantheres (NYI)RW1723544022162512138.00%621612.7600004000001028.57%7117000.4600000010
9Dmitrij JaskinPantheres (NYI)RW1523520025212313168.70%630820.542134330002160035.48%3178000.3200000010
10Brandon ManningPantheres (NYI)D17123614041263513102.86%2342124.80112239000033100.00%01726000.1400000000
11Pavel DatsyukPantheres (NYI)C15213320917315136.45%219312.89000010000141051.52%9974000.3100000000
12Kurtis GabrielPantheres (NYI)RW1730336029112161614.29%41699.9900003000001125.00%471000.3500000012
13Josh JoorisPantheres (NYI)LW1712332099225174.55%718610.9500000000030125.00%4137000.3200000000
14Klas DahlbeckPantheres (NYI)D17022640172121340.00%1329417.35000014000012000.00%0515000.1400000000
15Laurent DauphinPantheres (NYI)C131121205862916.67%51118.6100000000001046.15%3912000.3600000000
16Iiro PakarinenPantheres (NYI)LW172023002419225169.09%325815.222023140001211035.71%1475000.1500000001
17Jeremy LauzonPantheres (NYI)D9011500686230.00%311312.610000000008000.00%044000.1800000000
18Carl DahlstromPantheres (NYI)D17011480112618660.00%2236321.4100002600003000100.00%1518000.0500000000
19Matt BartkowskiPantheres (NYI)D90111407128210.00%513314.820000100004000.00%118000.1500000000
20Zach RedmondPantheres (NYI)D6011-1002113110.00%79315.640000000008000.00%024000.2100000000
21Nikita SoshnikovPantheres (NYI)LW9000100581810130.00%3859.500000000000000.00%280000.0000000000
Stats d'équipe Total ou en Moyenne2964671117679953573865671923258.11%184512717.3219315042373112732616353.70%1041216190100.460000071110
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
1Casey DeSmithPantheres (NYI)1414000.9651.028870315427219200.0000140822
2Samuel MontembeaultPantheres (NYI)31010.9481.861610059749000.000038100
3Ondrej PavelecPantheres (NYI)11000.9552.14280012215000.000009000
Stats d'équipe Total ou en Moyenne1816010.9621.1710760321546283200.00001717922


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 Salaire RestantCap 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
Andrew MacDonaldPantheres (NYI)D341986-01-01No204 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Ben SextonPantheres (NYI)C291991-01-01No196 Lbs5 ft11NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien NHL
Brady KeeperPantheres (NYI)D241996-01-01Yes194 Lbs6 ft2NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Brandon Manning (Contrat à 1 Volet)Pantheres (NYI)D301990-01-01No205 Lbs6 ft1NoYesNo4Farm Only850,000$85,000$0$No850,000$850,000$850,000$Lien / Lien NHL
Carl DahlstromPantheres (NYI)D251995-01-01Yes231 Lbs6 ft4NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien / Lien NHL
Carter RowneyPantheres (NYI)C311989-01-01No206 Lbs6 ft2NoNoNo5Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien NHL
Casey DeSmithPantheres (NYI)G291991-01-01No181 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$NoLien NHL
Colby CavePantheres (NYI)C261994-01-01Yes200 Lbs6 ft1NoNoNo3Pro & Farm725,000$0$0$No725,000$725,000$Lien NHL
Conor GarlandPantheres (NYI)RW241996-01-01Yes165 Lbs5 ft10NoNoNo1Pro & Farm550,000$0$0$No
Curtis ValkPantheres (NYI)C271993-01-01Yes170 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien NHL
Dmitrij JaskinPantheres (NYI)RW271993-01-01No216 Lbs6 ft2NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien NHL
Giovanni FiorePantheres (NYI)LW241996-01-01Yes193 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien NHL
Iiro PakarinenPantheres (NYI)LW291991-01-01No212 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien NHL
Jeremy LauzonPantheres (NYI)D231997-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien
Jim O'BrienPantheres (NYI)C311989-01-01No195 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien NHL
Josh JoorisPantheres (NYI)LW301990-01-01No197 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien NHL
Juho LammikkoPantheres (NYI)RW241996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Karson KuhlmanPantheres (NYI)RW251995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
Klas DahlbeckPantheres (NYI)D291991-01-01No207 Lbs6 ft3NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Kurtis GabrielPantheres (NYI)RW271993-01-01Yes200 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Laurent DauphinPantheres (NYI)C251995-01-01No180 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien NHL
Matt BartkowskiPantheres (NYI)D321988-01-01No198 Lbs6 ft1NoNoNo4Pro & Farm950,000$0$0$No950,000$950,000$950,000$Lien / Lien NHL
Michael RafflPantheres (NYI)LW321988-01-01No200 Lbs6 ft0NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien NHL
Michael SgarbossaPantheres (NYI)C281992-01-01Yes186 Lbs6 ft0NoNoNo6Pro & Farm850,000$0$0$No850,000$850,000$850,000$850,000$850,000$
Nelson NogierPantheres (NYI)D241996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien
Nikita GusevPantheres (NYI)LW281992-01-01 08:43:30Yes163 Lbs5 ft9NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Nikita SoshnikovPantheres (NYI)LW271993-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien NHL
Ondrej PavelecPantheres (NYI)G331987-01-01No212 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Pavel DatsyukPantheres (NYI)C421978-01-01No194 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Ryan GravesPantheres (NYI)D251995-01-01Yes226 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLien
Samuel MontembeaultPantheres (NYI)G241996-01-01Yes208 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Shane GersichPantheres (NYI)LW241996-01-01Yes175 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien NHL
Spencer MartinPantheres (NYI)G251995-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Trevor MurphyPantheres (NYI)D251995-01-01Yes180 Lbs5 ft10NoNoNo1Pro & Farm625,000$0$0$NoLien / Lien NHL
Tyler GaudetPantheres (NYI)C271993-01-01Yes205 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Vinni LettieriPantheres (NYI)C251995-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien NHL
Zach RedmondPantheres (NYI)D321988-01-01No208 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3727.73196 Lbs6 ft12.11738,514$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael RafflCarter RowneyDmitrij Jaskin40122
2Nikita GusevColby CaveConor Garland30122
3Iiro PakarinenPavel DatsyukJuho Lammikko20122
4Josh JoorisLaurent DauphinKurtis Gabriel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesAndrew MacDonald40122
2Brandon ManningCarl Dahlstrom30122
3Klas DahlbeckJeremy Lauzon20122
4Ryan GravesAndrew MacDonald10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael RafflCarter RowneyDmitrij Jaskin60122
2Nikita GusevColby CaveConor Garland40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesAndrew MacDonald60122
2Brandon ManningCarl Dahlstrom40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Carter RowneyMichael Raffl60122
2Nikita GusevDmitrij Jaskin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesAndrew MacDonald60122
2Brandon ManningCarl Dahlstrom40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Carter Rowney60122Ryan GravesAndrew MacDonald60122
2Michael Raffl40122Brandon ManningCarl Dahlstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Carter RowneyMichael Raffl60122
2Nikita GusevDmitrij Jaskin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesAndrew MacDonald60122
2Brandon ManningCarl Dahlstrom40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael RafflCarter RowneyDmitrij JaskinRyan GravesAndrew MacDonald
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael RafflCarter RowneyDmitrij JaskinRyan GravesAndrew MacDonald
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Juho Lammikko, Pavel Datsyuk, Iiro PakarinenJuho Lammikko, Pavel DatsyukIiro Pakarinen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Klas Dahlbeck, Jeremy Lauzon, Brandon ManningKlas DahlbeckJeremy Lauzon, Brandon Manning
Tirs de Pénalité
Carter Rowney, Michael Raffl, Nikita Gusev, Dmitrij Jaskin, Colby Cave
Gardien
#1 : Casey DeSmith, #2 : Samuel Montembeault


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
1Armada44000000945220000005322200000041381.000915240171420515815217720438134461810716318.75%90100.00%024144953.67%21142749.41%11319258.85%381216374170321158
2Heat 440000001468220000007432200000072581.000141933017142051391521772043810939308813646.15%15286.67%024144953.67%21142749.41%11319258.85%381216374170321158
3Phantoms 440000001037220000006152200000042281.000101525017142051161521772043812236297313430.77%13192.31%124144953.67%21142749.41%11319258.85%381216374170321158
4Rockets541000001385321000008622200000052380.8001323360071420515815217720438181652810015640.00%14564.29%024144953.67%21142749.41%11319258.85%381216374170321158
Total1716100000462125981000002614128800000020713320.94146721180371420557115217720438546186105368571933.33%51884.31%124144953.67%21142749.41%11319258.85%381216374170321158
_Since Last GM Reset1716100000462125981000002614128800000020713320.94146721180371420557115217720438546186105368571933.33%51884.31%124144953.67%21142749.41%11319258.85%381216374170321158
_Vs Conference131210000036181876100000201376600000016511240.923365793027142054551521772043842415076295441534.09%38781.58%024144953.67%21142749.41%11319258.85%381216374170321158
_Vs Division540000001385320000008622200000052380.8001323360071420515815217720438181652810015640.00%14564.29%024144953.67%21142749.41%11319258.85%381216374170321158

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1732W16467211857154618610536803
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1716100004621
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
98100002614
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
8800000207
Derniers 10 Matchs
WLOTWOTL SOWSOL
1000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
571933.33%51884.31%1
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
15217720438714205
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
24144953.67%21142749.41%11319258.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
381216374170321158


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 - 2020-07-205Rockets4Pantheres3LXSommaire du Match
2 - 2020-07-2113Rockets1Pantheres2WSommaire du Match
3 - 2020-07-2221Pantheres2Rockets1WSommaire du Match
4 - 2020-07-2329Pantheres3Rockets1WSommaire du Match
5 - 2020-07-2437Rockets1Pantheres3WSommaire du Match
8 - 2020-07-2759Armada1Pantheres2WXSommaire du Match
9 - 2020-07-2863Armada2Pantheres3WXSommaire du Match
10 - 2020-07-2967Pantheres2Armada1WXSommaire du Match
11 - 2020-07-3071Pantheres2Armada0WSommaire du Match
15 - 2020-08-0386Heat 1Pantheres2WSommaire du Match
16 - 2020-08-0488Heat 3Pantheres5WSommaire du Match
17 - 2020-08-0590Pantheres4Heat 0WSommaire du Match
18 - 2020-08-0692Pantheres3Heat 2WXSommaire du Match
22 - 2020-08-1099Phantoms 1Pantheres3WSommaire du Match
23 - 2020-08-11100Phantoms 0Pantheres3WSommaire du Match
24 - 2020-08-12101Pantheres2Phantoms 1WXSommaire du Match
25 - 2020-08-13102Pantheres2Phantoms 1WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance17,1538,331
Assistance PCT95.29%92.57%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
30 2832 - 94.39% 108,961$980,651$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,647,500$ 2,647,500$ 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$ 0 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
Saison Régulière
11783621062762221725039191102052115853039171004224107872072222350572272675108202520615921934972301809469165930411337.17%2308662.61%4992166859.47%963167857.39%600106956.13%165289416547241453750
128237280435522620026411713041511169323412015002041101073742263425682529101872027006651079925762746941757177031012841.29%29510464.75%51052178458.97%1115201755.28%668114458.39%169592718067691487742
1382402503455265200654122100124213487474118150221313111318802654336983037101119122656718968938772637911589171228113949.47%2889467.36%5863172150.15%939190449.32%603120050.25%170393317747761511743
1482352705357209196134120110312411287254115160223397109-127020933053933338086132328591892811772589875569195629110435.74%2839466.78%6852167750.81%954187450.91%576110552.13%165383117837721566814
158244230347125519560412310021501258441412113013211301111988255401656223596114162660665969998652608882564167429713244.44%2599961.78%4905173452.19%1007187353.76%620118252.45%171394917987401467747
168236300822425021337412016021111341151941161406113116981872250401651323198111142741739986987482479828667162330712540.72%30910665.70%4930173153.73%965182652.85%648122053.11%176098117377381473762
17823828011952751868941211201052142835941171600143133103307627543771225321081251526366079941015642535900510166631113944.69%2408365.42%2879170351.61%879176949.69%658119555.06%172896317927341471745
18824320025662421746841255022431327260411815003231101028862423816232837931041226837111019929642544852564175631614646.20%2698269.52%1965182252.96%988187852.61%638116354.86%174395517657461487760
1982392302151225018961411813010271239627412110011351279334782503926425446761211424506358908751052416831454163528014852.86%2157067.44%1859165152.03%831169649.00%568114949.43%170590017377621568817
20784117043103261162993920100205212277453921702351139855482261405666232098129202584635976945742368811523162431214245.51%2578168.48%7960172555.65%898170952.55%625111156.26%171598116497031386712
Total Saison Régulière812389242038286154245518875684062051110208382412558793764061841310182023301200100819277824553872632726393269261104156259586581969493577472522386405666170753009131643.74%264589966.01%3992571721653.77%95391822452.34%62041153853.77%170719318174997469148747596
Séries
11624000001620-430300000814-63210000086241624400055601966971560235655715419947.37%22863.64%08814560.69%8816353.99%548762.07%121641325510652
1213760000027252633000001414074300000131121427426910113121402791621574422159130272592135.59%501472.00%016431951.41%15233645.24%7515050.00%257135290131242116
13734000002427-3431000001512330300000915-66244064003712221049728453049366142281657.14%341458.82%16213545.93%9118549.19%6411456.14%134671656212665
141510500000403647610000023185844000001718-120406110111414211386811491542438161105332512039.22%501766.00%014927753.79%17334550.14%8819844.44%285137326148293146
15734000001920-142200000151143120000049-561931500028902397884770200515512433927.27%261446.15%16714546.21%7314251.41%5810654.72%1651011366311858
16734000001920-142200000151143120000049-561931500028902397884770200515512433927.27%261446.15%16714546.21%7314251.41%5810654.72%1651011366311858
1751400000711-42020000014-33120000067-12713200014201593163569179673912617529.41%19763.16%05414038.57%5513341.35%236435.94%102521195310048
1851400000815-73120000047-32020000048-4281321010350159395862014744481031800.00%24962.50%04611440.35%4311338.05%336550.77%9649110489345
19514000001019-92110000056-130300000513-821017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941
2017161000004621259810000026141288000000207133246721180371420557115217720438546186105368571933.33%51884.31%124144953.67%21142749.41%11319258.85%381216374170321158
Total Séries87474000000216214244261800000126111154321220000090103-139421634456025267810392703693972980582822935708186633011334.24%32611365.34%4975196349.67%1007209048.18%599114752.22%180697919048461611791