Charlotte Checkers

GP: 12 | W: 5 | L: 7 | OTL: 0 | P: 10
GF: 50 | GA: 49 | PP%: 32.26% | PK%: 71.05%
DG: David | Morale : 63 | Moyenne d'Équipe : 57
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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
1Jesse Puljujarvi0XX100.00754492817765876525617160255555079640
2Trevor Smith (R)0XX100.00767286687280856480606268595757082640
3Pat Cannone0X100.00643381687576747873575469616764084640
4Brooks Laich0XX100.00834585717359465678585579697983075630
5Steve Bernier0X100.00818084678063656150506275597579081630
6Brad Malone0XX100.00787683667677826278576070576162084630
7Tyler Graovac0XX100.00807883727877826176576068575050078630
8Nicolas Roy (R)0XX100.00807884687874785974595466514444084610
9Warren Foegele (R)0X100.00757282677279846150536564624444086610
10Chris DiDomenico0XXX100.00676670656664646580636361604646061600
11Colin White (R)0XX100.00674288817165526247655962254949076600
12Michael Sgarbossa0XX100.00676864666873776075585861554848034590
13Eric Gelinas0X100.00808177688170745625405370506262084640
14Taylor Chorney0X100.00714389777161475325514875256162072620
15Victor Antipin (R)0X100.00614088796367706625564762255353076610
16James de Haas (R)0X100.00827890667855575025454065384444025570
17Mason Geertsen0X100.00727858657863694425324058384444021550
18Mattias Backman (R)0X100.00505050505050505050505050505050019480
Rayé
1Andreas Johnsson (R)0XX100.00676573636554516950656962664444070600
2Michael Spacek (R)0XX100.00736788676766686075565963564444082590
3Tyler Moy (R)0XX100.00797196627166715063474763454444020550
4Dan DeSalvo0XX100.00666081626066705468535058484444020540
5Dawson Leedahl (R)0X100.00737276667266714950474660444444020540
6Hayden Hodgson (R)0X100.00717658677671784650414558434444020530
7Nick Schilkey (R)0X100.00726295656261645050474860464444020530
8Simon Hjalmarsson0XX100.00505050505050505050505050505050020480
9Daniel Muzito-Bagenda (R)0XX100.00505050505050505050505050505050020480
10Oscar Fantenberg (R)0X100.00816787767464607125614961254646072620
11Ryan Sproul0X100.00634288737870646125604864254848075610
12Philippe Myers (R)0X100.00767970677960625225474262404444050580
13Alexey Marchenko0X100.0050505050505050505050505050505002048X0
14Tom Nilsson (R)0X100.00505050505050505050505050505050020480
MOYENNE D'ÉQUIPE100.0070627666696466575153536247515105458
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
1Marek Mazanec100.0055648079535650585252304646084570
2Samuel Montembeault (R)100.0053708878495650585151304444084560
Rayé
1Richard Bachman100.0053607562525450575151304848020530
2Igor Shestyorkin (R)100.0050505050505050505050505050020490
MOYENNE D'ÉQUIPE100.005361736751545056515135474705254
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy88969164666378CAN492250,000$


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
1Jesse PuljujarviCharlotte Checkers (CAR)LW/RW1281018295271553193815.09%323719.78347519000031027.27%22152001.5200001320
2Trevor SmithCharlotte Checkers (CAR)C/LW127111862220162238122218.42%421217.68235220000040055.59%286126001.7000211100
3Pat CannoneCharlotte Checkers (CAR)C126713040122542142014.29%320316.99134322000000044.83%11645001.2800000100
4Tyler GraovacCharlotte Checkers (CAR)C/LW127411212101992451029.17%016413.71000000001261058.14%86123001.3400020010
5Steve BernierCharlotte Checkers (CAR)RW123692752115307710.00%316713.92000000000261030.00%1050001.0800010002
6Brooks LaichCharlotte Checkers (CAR)C/LW1226810010112613147.69%117414.54011050000270050.00%232000.9200000001
7Andreas JohnssonCharlotte Checkers (CAR)LW/RW8527339251082691119.23%511714.70011213000001033.33%624001.1900131000
8Chris DiDomenicoCharlotte Checkers (CAR)C/LW/RW7156-175117151126.67%310014.29022210000000071.43%770001.2000001000
9Brad MaloneCharlotte Checkers (CAR)C/LW12246-3391511162041110.00%517414.51011020002260058.33%3643000.6900201010
10Victor AntipinCharlotte Checkers (CAR)D12145575162012828.33%724620.5610127000120000.00%044000.4100010000
11Colin WhiteCharlotte Checkers (CAR)C/RW12145-6001822363122.78%715813.2400004000000046.51%43112000.6300000000
12Taylor ChorneyCharlotte Checkers (CAR)D12145-21210181922884.55%1626321.92112220000029000.00%016000.3800020000
13Ryan SproulCharlotte Checkers (CAR)D905545551216430.00%1019421.62022016000021000.00%017000.5100010001
14Warren FoegeleCharlotte Checkers (CAR)LW122241412518111221216.67%416713.94101117000000030.00%1052000.4800302000
15Nicolas RoyCharlotte Checkers (CAR)C/RW12213152302616149914.29%1016613.89000212000000046.15%6511000.3600321001
16James de HaasCharlotte Checkers (CAR)D10123-13620116107410.00%1119519.56101117000013100.00%019000.3100112100
17Mattias BackmanCharlotte Checkers (CAR)D3022-120200110.00%24816.080000000001000.00%002000.8300000000
18Eric GelinasCharlotte Checkers (CAR)D120223785017187750.00%824720.65000121000024000.00%018000.1600523000
19Oscar FantenbergCharlotte Checkers (CAR)D70110372512125240.00%312017.200000100002000.00%012000.1700023010
20Philippe MyersCharlotte Checkers (CAR)D40111115446030.00%55814.650000200003000.00%001000.3400010000
21Michael SpacekCharlotte Checkers (CAR)C/RW5101-10083101410.00%25911.990000000000000.00%010000.3300000000
22Mason GeertsenCharlotte Checkers (CAR)D3000-5115322200.00%35217.640000000000000.00%000000.0000001000
23Michael SgarbossaCharlotte Checkers (CAR)C/LW4000-100203010.00%1133.370000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne21650831331043126529727342913821311.66%116354516.411018282321900042325051.01%6909169000.7500171917655
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
1Marek MazanecCharlotte Checkers (CAR)115400.8903.055700029263162100.0000102010
2Samuel MontembeaultCharlotte Checkers (CAR)40300.7838.2814500209252100.0000210000
Stats d'équipe Total ou en Moyenne155700.8624.117150049355214200.00001212010


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
Alexey MarchenkoCharlotte Checkers (CAR)D2702.01.1992No210 Lbs6 ft3NoYesNo1Avec RestrictionPro & Farm1,800,000$180,000$0$NoLien
Andreas JohnssonCharlotte Checkers (CAR)LW/RW2421.11.1994 13:01:39Yes176 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm787,500$78,750$0$No
Brad MaloneCharlotte Checkers (CAR)C/LW3020.05.1989No207 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$50,000$0$NoLien
Brooks LaichCharlotte Checkers (CAR)C/LW3523.06.1983No200 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,900,000$190,000$0$NoLien
Chris DiDomenicoCharlotte Checkers (CAR)C/LW/RW3020.02.1989No174 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Colin WhiteCharlotte Checkers (CAR)C/RW2230.01.1997Yes183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Dan DeSalvoCharlotte Checkers (CAR)C/RW2706.03.1992No172 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Daniel Muzito-BagendaCharlotte Checkers (CAR)LW/RW2216.06.1996 09:46:04Yes198 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$No
Dawson LeedahlCharlotte Checkers (CAR)LW2316.03.1996Yes200 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Eric GelinasCharlotte Checkers (CAR)D2808.05.1991No215 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Hayden HodgsonCharlotte Checkers (CAR)RW2302.03.1996Yes207 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Igor ShestyorkinCharlotte Checkers (CAR)G2330.12.1995 16:59:31Yes187 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm850,000$85,000$0$No
James de HaasCharlotte Checkers (CAR)D2503.05.1994Yes210 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jesse PuljujarviCharlotte Checkers (CAR)LW/RW2107.05.1998No203 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Marek MazanecCharlotte Checkers (CAR)G2717.07.1991No187 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Mason GeertsenCharlotte Checkers (CAR)D2418.04.1995No215 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Mattias BackmanCharlotte Checkers (CAR)D2603.10.1992Yes181 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Michael SgarbossaCharlotte Checkers (CAR)C/LW2625.07.1992No186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,000,000$200,000$0$NoLien
Michael SpacekCharlotte Checkers (CAR)C/RW2209.04.1997Yes187 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Nick SchilkeyCharlotte Checkers (CAR)LW2512.05.1994Yes174 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Nicolas RoyCharlotte Checkers (CAR)C/RW2205.02.1997Yes208 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Oscar FantenbergCharlotte Checkers (CAR)D2707.10.1991Yes203 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Pat CannoneCharlotte Checkers (CAR)C3209.08.1986No192 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Philippe MyersCharlotte Checkers (CAR)D2225.01.1997Yes196 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Richard BachmanCharlotte Checkers (CAR)G3125.07.1987No183 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Ryan SproulCharlotte Checkers (CAR)D2612.01.1993No211 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$50,000$0$NoLien
Samuel MontembeaultCharlotte Checkers (CAR)G2230.10.1996Yes192 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Simon HjalmarssonCharlotte Checkers (CAR)LW/RW3001.02.1989 16:36:45No172 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$No
Steve BernierCharlotte Checkers (CAR)RW3431.03.1985No220 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Taylor ChorneyCharlotte Checkers (CAR)D3227.04.1987No191 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm1,700,000$170,000$0$NoLien
Tom NilssonCharlotte Checkers (CAR)D2518.08.1993Yes176 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm500,000$50,000$0$No
Trevor SmithCharlotte Checkers (CAR)C/LW3408.02.1985Yes195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Tyler GraovacCharlotte Checkers (CAR)C/LW2626.04.1993No212 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Tyler MoyCharlotte Checkers (CAR)C/RW2318.07.1995Yes201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Victor AntipinCharlotte Checkers (CAR)D2606.12.1992Yes179 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Warren FoegeleCharlotte Checkers (CAR)LW2301.04.1996Yes190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm850,000$85,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3626.25194 Lbs6 ft11.97753,819$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MaloneTrevor SmithJesse Puljujarvi35113
2Warren FoegelePat CannoneChris DiDomenico24122
3Michael SgarbossaNicolas RoyColin White23122
4Brooks LaichTyler GraovacSteve Bernier18131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor ChorneyVictor Antipin38122
2Eric GelinasMason Geertsen37122
3Mattias BackmanJames de Haas25122
4James de HaasMattias Backman0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MaloneTrevor SmithJesse Puljujarvi50113
2Warren FoegelePat CannoneChris DiDomenico50113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1James de HaasTaylor Chorney50113
2Eric GelinasVictor Antipin50113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad MaloneSteve Bernier50131
2Tyler GraovacBrooks Laich50131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor AntipinTaylor Chorney50131
2Eric GelinasJames de Haas50131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Graovac50131Victor AntipinTaylor Chorney50131
2Steve Bernier50131Eric GelinasJames de Haas50131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Trevor SmithJesse Puljujarvi50122
2Pat CannoneBrad Malone50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor AntipinEric Gelinas50122
2Taylor ChorneyJames de Haas50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad MaloneTrevor SmithJesse PuljujarviTaylor ChorneyEric Gelinas
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brooks LaichTyler GraovacSteve BernierTaylor ChorneyEric Gelinas
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jesse Puljujarvi, Pat Cannone, Nicolas RoyTrevor Smith, Jesse PuljujarviBrad Malone
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Eric Gelinas, Taylor Chorney, Victor AntipinTaylor ChorneyEric Gelinas, Taylor Chorney
Tirs de Pénalité
Brooks Laich, Jesse Puljujarvi, Warren Foegele, Pat Cannone, Brad Malone
Gardien
#1 : Marek Mazanec, #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
Total12570000050491734000002632-65230000024177100.41750831330011221614291341601341355116431297311032.26%381171.05%013925853.88%11422650.44%9920648.06%259142222115238115
_Since Last GM Reset12570000050491734000002632-65230000024177100.41750831330011221614291341601341355116431297311032.26%381171.05%013925853.88%11422650.44%9920648.06%259142222115238115
_Vs Conference12570000050491734000002632-65230000024177100.41750831330011221614291341601341355116431297311032.26%381171.05%013925853.88%11422650.44%9920648.06%259142222115238115

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1210L4508313342935511643129700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
125700005049
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400002632
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52300002417
Derniers 10 Matchs
WLOTWOTL SOWSOL
361000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
311032.26%381171.05%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
13416013411122161
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
13925853.88%11422650.44%9920648.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
259142222115238115


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 - 2018-10-023New Orleans Voodoo4Charlotte Checkers2LSommaire du Match
3 - 2018-10-0411New Orleans Voodoo2Charlotte Checkers3WSommaire du Match
5 - 2018-10-0619Charlotte Checkers2New Orleans Voodoo3LSommaire du Match
7 - 2018-10-0827Charlotte Checkers5New Orleans Voodoo1WSommaire du Match
9 - 2018-10-1035New Orleans Voodoo3Charlotte Checkers1LSommaire du Match
11 - 2018-10-1243Charlotte Checkers7New Orleans Voodoo1WSommaire du Match
13 - 2018-10-1451New Orleans Voodoo3Charlotte Checkers4WXSommaire du Match
15 - 2018-10-1657Florida Everblades2Charlotte Checkers5WSommaire du Match
17 - 2018-10-1861Florida Everblades9Charlotte Checkers7LSommaire du Match
19 - 2018-10-2065Charlotte Checkers4Florida Everblades5LSommaire du Match
21 - 2018-10-2269Charlotte Checkers6Florida Everblades7LSommaire du Match
23 - 2018-10-2473Florida Everblades9Charlotte Checkers4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance13,3446,583
Assistance PCT95.31%94.04%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
31 2847 - 94.89% 114,072$798,504$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,713,750$ 2,697,361$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 36 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
201812570000050491734000002632-652300000241771050831330011221614291341601341355116431297311032.26%381171.05%013925853.88%11422650.44%9920648.06%259142222115238115
Total Séries12570000050491734000002632-652300000241771050831330011221614291341601341355116431297311032.26%381171.05%013925853.88%11422650.44%9920648.06%259142222115238115