Pantheres

GP: 5 | W: 1 | L: 4
GF: 10 | GA: 19 | PP%: 33.33% | PK%: 66.67%
DG: Keven Richard | Morale : 50 | Moyenne d'Équipe : 62
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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
1Conor Garland (R) (A)X100.00563393884667575448456365655164048650
2Juho Lammikko (R)X100.00603594856364484855465070505163050640
3Pavel Datsyuk (C)X100.00483195835855325047465358549984047632
4Iiro PakarinenX100.00643395816857374845435364526670050630
5Chris VandeVeldeX100.00553295856356434743425163517874049630
6Mason Appleton (R)X100.00543594856461435048475362525162050630
7Josh JoorisX100.00543294846358424849435262526970050620
8Vinni Lettieri (R)X100.00593493845770334748425159505462050610
9Ben Thomson (R)X100.00453095837050254540405055506062050580
10Giovanni Fiore (R)X100.00453095846250254540405055505157050570
11Shane Gersich (R)X100.00453095865250254540405055505157050560
12Travis SanheimX100.00593290895976896648676571615169064750
13Andrew MacDonald (A)X100.00583389846271715851595679558183058740
14Carl Dahlstrom (R)X100.00573394807764465148515071505465050670
15Ryan Graves (R)X100.00563395817856315248475669595465050650
16Klas DahlbeckX100.00583494836757364849475260516669050630
17Zach RedmondX100.00503295826756254850485058507572050620
Rayé
1Lee StempniakX77.00623494845864485351505663569083045670
2Kurtis Gabriel (R)X100.00775287847058274749425262516069050630
3Laurent DauphinX100.00493495865756264649405162505460050590
4Jim O'BrienX100.00463295846653254545405059507269050590
5Karson Kuhlman (R)X100.00473495855558254848425358525460050590
6Ben SextonX100.00463295825952254543405057506665050580
7Nicklas Jensen (R)X100.00453095817350254540405055506062050580
8Michael Sgarbossa (R)X100.00453095855750254540405055506363050570
9Kyle Criscuolo (R)X100.00453095864450254540405055506363050560
10Curtis Valk (R)X100.00453095864650254540405055506062050560
11Matt BartkowskiX100.00513395846059264950465257517572050620
12Matt TennysonX100.00543295836563324949475056546969050620
13Jeremy Lauzon (R)X100.00503195836255254947455265514859050610
14David Musil (R)X100.00453295836950254548455055506063050590
15Brady Keeper (R)X100.00463195856150254847455055505158050580
16Nelson Nogier (R)X100.00453195856050254847455055505158050580
17Trevor Murphy (R)X100.00453095854850254548455055505460050570
MOYENNE D'ÉQUIPE99.3252339484615734484645526052626605061
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
1Samuel Montembeault (R)100.0074257678717276747369594550044670
Rayé
1Casey DeSmith100.0080426169868081798365586569036760
2Jared Coreau (R)100.0060258682536060606065556555050580
3Roman Will (R)100.0060256873626060606065556153035580
4Spencer Martin (R)100.0060257778576060606065554947050570
MOYENNE D'ÉQUIPE100.006728747666666767676656575504363
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery77828182717375CAN4941,250,000$


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
1Travis SanheimPantheres (NYI)D5055-7201216221270.00%1113426.97044212000220000.00%073000.7400000001
2Conor GarlandPantheres (NYI)RW5134-4601011176125.88%110721.571342100000160045.45%1151000.7400000001
3Mason AppletonPantheres (NYI)C5314-2007483937.50%17314.7800009000000044.68%4733001.0800000100
4Lee StempniakPantheres (NYI)LW5213-36067115618.18%410220.442132100000160044.44%3624000.5900000000
5Andrew MacDonaldPantheres (NYI)D5213-610012141021020.00%1113126.22202212000016100.00%003000.4600000010
6Carl DahlstromPantheres (NYI)D5022160753320.00%510020.0400008000011000.00%016000.4000000000
7Vinni LettieriPantheres (NYI)C5011000121130.00%2438.7500000000000052.94%1720000.4600000000
8Pavel DatsyukPantheres (NYI)C5011-42010712990.00%19819.65011110000170043.33%12023000.2000000000
9Shane GersichPantheres (NYI)LW51010201221450.00%0438.780000000000000.00%010000.4600000000
10Ryan GravesPantheres (NYI)D5011120563250.00%59719.490000800009000.00%032000.2100000000
11Josh JoorisPantheres (NYI)RW5011-120776150.00%15911.9100000000070040.00%522000.3400000000
12Ben ThomsonPantheres (NYI)LW5101-20041173514.29%08116.26000090000700100.00%100000.2500000000
13Juho LammikkoPantheres (NYI)RW5000-240131411150.00%28216.4900019000270083.33%623000.0000000000
14Klas DahlbeckPantheres (NYI)D5000000455210.00%66513.130000000002000.00%005000.0000000000
15Giovanni FiorePantheres (NYI)LW5000020474310.00%05711.410000000001000.00%123000.0000000000
16Iiro PakarinenPantheres (NYI)RW4000000956400.00%3389.560000000000000.00%131000.0000000000
17Chris VandeVeldePantheres (NYI)C5000-100648290.00%36513.1100001000040038.89%1811000.0000000000
18Zach RedmondPantheres (NYI)D5000020276000.00%27114.240000000008000.00%004000.0000000000
Stats d'équipe Total ou en Moyenne89101727-3046012013414260937.04%58145416.3459141010400051371044.87%2633644000.3700000112
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)51300.8903.23279001513671100.000050000
Stats d'équipe Total ou en Moyenne51300.8903.23279001513671100.000050000


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 Link
Andrew MacDonaldPantheres (NYI)D331986-01-01No204 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm1,000,000$0$0$NoLien / Lien NHL
Ben SextonPantheres (NYI)C281991-01-01No196 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm725,000$0$0$NoLien NHL
Ben ThomsonPantheres (NYI)LW261993-01-01Yes205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Brady KeeperPantheres (NYI)D231996-01-01Yes194 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm850,000$0$0$NoLien
Carl DahlstromPantheres (NYI)D241995-01-01Yes231 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Casey DeSmithPantheres (NYI)G281991-01-01No181 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm850,000$0$0$NoLien NHL
Chris VandeVeldePantheres (NYI)C321987-01-01No190 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm850,000$0$0$No
Conor GarlandPantheres (NYI)RW231996-01-01Yes165 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm550,000$0$0$No
Curtis ValkPantheres (NYI)C261993-01-01Yes170 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien NHL
David MusilPantheres (NYI)D261993-01-01Yes207 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Giovanni FiorePantheres (NYI)LW231996-01-01Yes193 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien NHL
Iiro PakarinenPantheres (NYI)RW281991-01-01No212 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien NHL
Jared CoreauPantheres (NYI)G281991-01-01Yes220 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm825,000$0$0$NoLien NHL
Jeremy LauzonPantheres (NYI)D221997-01-01Yes204 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jim O'BrienPantheres (NYI)C301989-01-01No195 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien NHL
Josh JoorisPantheres (NYI)RW291990-01-01No197 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien NHL
Juho LammikkoPantheres (NYI)RW231996-01-01Yes191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm650,000$0$0$No
Karson KuhlmanPantheres (NYI)RW241995-01-01Yes185 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm950,000$0$0$No
Klas DahlbeckPantheres (NYI)D281991-01-01No207 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Kurtis GabrielPantheres (NYI)RW261993-01-01Yes200 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Kyle CriscuoloPantheres (NYI)C271992-01-01Yes170 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm625,000$0$0$NoLien NHL
Laurent DauphinPantheres (NYI)C241995-01-01No180 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien NHL
Lee Stempniak (Sur la Masse Salariale)Pantheres (NYI)LW361983-01-01No195 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm1,225,000$0$0$YesLien NHL
Mason AppletonPantheres (NYI)C231996-01-01Yes193 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm550,000$0$0$No
Matt BartkowskiPantheres (NYI)D311988-01-01No198 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm950,000$0$0$NoLien / Lien NHL
Matt TennysonPantheres (NYI)D291990-01-01No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Michael SgarbossaPantheres (NYI)C271992-01-01Yes186 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm800,000$0$0$No
Nelson NogierPantheres (NYI)D231996-01-01Yes191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Nicklas JensenPantheres (NYI)RW261993-01-01Yes216 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Pavel DatsyukPantheres (NYI)C411978-01-01No194 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Roman WillPantheres (NYI)G271992-01-01Yes195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Ryan GravesPantheres (NYI)D241995-01-01Yes226 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Samuel MontembeaultPantheres (NYI)G231996-01-01Yes208 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm650,000$0$0$No
Shane GersichPantheres (NYI)LW231996-01-01Yes175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien NHL
Spencer MartinPantheres (NYI)G241995-01-01Yes210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Travis SanheimPantheres (NYI)D231996-01-01No181 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,400,000$0$0$NoLien / Lien NHL
Trevor MurphyPantheres (NYI)D241995-01-01Yes180 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm625,000$0$0$NoLien / Lien NHL
Vinni LettieriPantheres (NYI)C241995-01-01Yes191 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien NHL
Zach RedmondPantheres (NYI)D311988-01-01No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3926.67196 Lbs6 ft12.21751,923$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pavel DatsyukConor Garland40122
2Ben ThomsonMason AppletonJuho Lammikko30122
3Giovanni FioreChris VandeVelde20122
4Shane GersichVinni LettieriJosh Jooris10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimAndrew MacDonald40122
2Carl DahlstromRyan Graves30122
3Klas DahlbeckZach Redmond20122
4Travis SanheimAndrew MacDonald10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pavel DatsyukConor Garland60122
2Ben ThomsonMason AppletonJuho Lammikko40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimAndrew MacDonald60122
2Carl DahlstromRyan Graves40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Conor Garland60122
2Juho LammikkoPavel Datsyuk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimAndrew MacDonald60122
2Carl DahlstromRyan Graves40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Travis SanheimAndrew MacDonald60122
2Conor Garland40122Carl DahlstromRyan Graves40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Conor Garland60122
2Juho LammikkoPavel Datsyuk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimAndrew MacDonald60122
2Carl DahlstromRyan Graves40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pavel DatsyukConor GarlandTravis SanheimAndrew MacDonald
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pavel DatsyukConor GarlandTravis SanheimAndrew MacDonald
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chris VandeVelde, , Josh JoorisChris VandeVelde, Josh Jooris
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Klas Dahlbeck, Zach Redmond, Carl DahlstromKlas DahlbeckZach Redmond, Carl Dahlstrom
Tirs de Pénalité
, Conor Garland, Juho Lammikko, Pavel Datsyuk, Mason Appleton
Gardien
#1 : , #2 :


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
1Armada514000001019-92110000056-130300000513-820.2001017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941
Total514000001019-92110000056-130300000513-820.2001017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941
_Since Last GM Reset514000001019-92110000056-130300000513-820.2001017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941
_Vs Conference514000001019-92110000056-130300000513-820.2001017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L2101727142151584812100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001019
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000056
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000513
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
15533.33%24866.67%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
37525301270
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
379439.36%4810446.15%336550.77%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9652114488941


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 - 2020-01-096Pantheres1Armada4LSommaire du Match
2 - 2020-01-1014Pantheres3Armada4LSommaire du Match
3 - 2020-01-1122Armada3Pantheres4WSommaire du Match
4 - 2020-01-1230Armada3Pantheres1LSommaire du Match
5 - 2020-01-1338Pantheres1Armada5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance3,3981,581
Assistance PCT84.95%79.05%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2490 - 82.98% 96,336$192,671$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,810,000$ 2,810,000$ 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
19514000001019-92110000056-130300000513-821017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941
Total Séries514000001019-92110000056-130300000513-821017270012701423752530151584812115533.33%24866.67%0379439.36%4810446.15%336550.77%9652114488941