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Charlotte
GP: 82 | W: 55 | L: 22 | OTL: 5 | P: 115
GF: 391 | GA: 286 | PP%: 25.60% | PK%: 81.95%
DG: Tommy Morel | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Bridgeport
42-37-3, 87pts
2
FINAL
6 Charlotte
55-22-5, 115pts
Team Stats
W1SéquenceW2
22-18-1Fiche domicile28-10-3
20-19-2Fiche domicile27-12-2
6-4-0Derniers 10 matchs6-4-0
4.11Buts par match 4.77
4.13Buts contre par match 3.49
28.53%Pourcentage en avantage numérique25.60%
75.58%Pourcentage en désavantage numérique81.95%
Manitoba
41-36-5, 87pts
2
FINAL
4 Charlotte
55-22-5, 115pts
Team Stats
L1SéquenceW2
27-12-2Fiche domicile28-10-3
14-24-3Fiche domicile27-12-2
6-4-0Derniers 10 matchs6-4-0
3.95Buts par match 4.77
3.74Buts contre par match 3.49
25.78%Pourcentage en avantage numérique25.60%
82.91%Pourcentage en désavantage numérique81.95%
Meneurs d'équipe
Buts
Joel Kiviranta
56
Passes
Sami Niku
80
Points
Joel Kiviranta
109
Plus/Moins
Sami Niku
39
Victoires
Al Montoya
31
Pourcentage d’arrêts
Al Montoya
0.932

Statistiques d’équipe
Buts pour
391
4.77 GFG
Tirs pour
4027
49.11 Avg
Pourcentage en avantage numérique
25.6%
86 GF
Début de zone offensive
42.5%
Buts contre
286
3.49 GAA
Tirs contre
3719
45.35 Avg
Pourcentage en désavantage numérique
82.0%%
72 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralTommy Morel
EntraîneurCory Clouston
DivisionAtlantique
ConférenceConference est
CapitaineDerick Brassard
Assistant #1Joel Kiviranta
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,255
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs65


Historique d'équipe

Saison actuelle55-22-5 (115PTS)
Historique165-65-16 (0.671%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)14-8
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Phil KesselXX100.005830907683769971707273698481812650003411,200,000$
2Nikita FilatovXX100.006930976973657877326974617876643150003221,510,000$
3Cody Glass (R)X99.00793093848882957786747570774342735000232900,000$
4Derick Brassard (C)XXX99.007134936778728474767175707982632750003411,400,000$
5Tanner PearsonX100.00793792748483876970697269796263385000293850,000$
6Alex ChiassonXX100.007129987092789472746673707862553750003111,220,000$
7Andrei KostitsynXX100.00623198477265886980666870778575225000381800,000$
8Brandon DubinskyXX100.00773466538378856490666770837374275000361500,000$
9Joel Kiviranta (A)XX99.007929848280788679747776647750465950002611,200,000$
10Patrik BerglundXXX100.006536946374708670666970687983802350003411,300,000$
11Brendan LemieuxXX100.00885252809082877474737666845046605000261850,000$
12Carl Grundstrom (R)XX99.00883094748374867370697569774646625000242700,000$
13Mike ReillyX100.00793078768287804850484386745656465000281750,000$
14Artem ZubX100.00873080728588844670474789755353645000261800,000$
15Sami Niku (R)X99.00702788848283855551585091784948645000251500,000$
16Josh Mahura (R)X99.00832578868178995150524989754646655000242500,000$
17Jake MiddletonX100.008545717589849545705045937553534850002631,300,000$
Rayé
1Anders LeeX100.008332887393839270696773617671902950003121,300,000$
MOYENNE D’ÉQUIPE99.6776338573837888666865667478626045500
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 SPÂgeContratSalaire moyen
1Mike Condon100.0067838278768887868781707575415000322875,000$
2Al Montoya100.0062838679749086898873738382185000371500,000$
Rayé
MOYENNE D’ÉQUIPE100.006583847975898788887772797930500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cory Clouston79878496909973CAN5311,500,000$


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
1Joel KivirantaCharlotte (FLO)LW/RW8256531091854015511946312433812.10%10165220.151416309528200001011254.48%14500131.32230001155
2Sami NikuCharlotte (FLO)D80228010239240431002177716110.14%181180922.621021311212890223225120%000001.1300000351
3Brendan LemieuxCharlotte (FLO)LW/RW8246469238134303108041210528211.17%16148118.0710142476238000005253.02%14900011.24010243105
4Carl GrundstromCharlotte (FLO)LW/RW81345286374401198231610225410.76%11159919.7581422772610002766143.58%17900001.0800000527
5Cody GlassCharlotte (FLO)C6526548019260691663441022207.56%10131320.216142069218000005154.44%223000001.2200000344
6Derick BrassardCharlotte (FLO)C/LW/RW822546711019538151271812269.23%18154618.8691019582260005862353.13%171100000.9200001203
7Josh MahuraCharlotte (FLO)D82184563227609275227671427.93%154182922.321013231082230117322220%000000.6900000233
8Phil KesselCharlotte (FLO)LW/RW822632582926029652315619511.26%13111113.5610135112172483051.22%8200011.0403000401
9Artem ZubCharlotte (FLO)D821539543698014879201481317.46%203195223.8141519953010220321110%000000.5500000233
10Nikita FilatovCharlotte (FLO)LW/RW82233053291003051238641669.66%11124515.1816719117000161132.84%13400000.8500000233
11Patrik BerglundCharlotte (FLO)C/LW/RW82152742365410601181404610110.71%23108513.240000500022881049.63%177500000.7700110121
12Alex ChiassonCharlotte (FLO)LW/RW82172239172804741171541309.94%67238.8303312440002200363.16%7600001.0811000001
13Jake MiddletonCharlotte (FLO)D829263523130201505812041727.50%156144517.6313421540001198100%000000.4800013111
14Klas DahlbeckFlorideD698233127442018429023578.89%8596013.9200003000224200%000000.6500121012
15Mike ReillyCharlotte (FLO)D191121302202514309133.33%2724412.850000100018000%000001.0700000001
16Tanner PearsonCharlotte (FLO)LW4627962013154410394.55%43116.770000020291660037.50%3200000.5800000000
17Brandon DubinskyCharlotte (FLO)C/LW6944823354959447299.09%74897.100000000072352056.43%84000000.3311010000
18Anders LeeCharlotte (FLO)LW3432509515113515218.57%01474.3400000000001050.00%1200000.6800001000
19Andrei KostitsynCharlotte (FLO)LW/RW533250607203042410.00%102925.51000000005970062.79%4300000.3400000000
Statistiques d’équipe totales ou en moyenne133635360295538883995141713463624103526019.74%9452124215.90741292037542275369642339441852.55%740800150.90492710393941
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
1Al MontoyaCharlotte (FLO)4131820.9322.9924714112318090000.917124042724
2Mike CondonCharlotte (FLO)30161030.9104.251765401251391011003026401
3Michael HutchinsonFloride128400.9293.097180037518000001210011
Statistiques d’équipe totales ou en moyenne83552250.9233.4549558128537180111282781136


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Al MontoyaCharlotte (FLO)G371985-02-13 17:37:02No209 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$2,924$0$0$No
Alex ChiassonCharlotte (FLO)LW/RW311990-10-01No211 Lbs6 ft4NoNoNoNo1Pro & Farm1,220,000$7,135$0$0$NoLien
Anders Lee (contrat à 1 volet)Charlotte (FLO)LW311990-07-03 05:33:53No235 Lbs6 ft3NoNoYesYes2Pro & Farm1,300,000$13,000$0$No1,300,000$Lien
Andrei KostitsynCharlotte (FLO)LW/RW381984-02-03No212 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$4,678$0$0$No
Artem ZubCharlotte (FLO)D261995-10-03 05:13:05No203 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Brandon DubinskyCharlotte (FLO)C/LW361986-04-29No221 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Brendan LemieuxCharlotte (FLO)LW/RW261996-03-15No216 Lbs6 ft1NoNoNoNo1Pro & Farm850,000$4,971$0$0$NoLien
Carl GrundstromCharlotte (FLO)LW/RW241997-12-01 22:11:44Yes195 Lbs6 ft0NoNoNoNo2Pro & Farm700,000$4,094$0$0$No700,000$
Cody GlassCharlotte (FLO)C231999-04-01 01:10:08Yes206 Lbs6 ft3NoNoNoNo2Pro & Farm900,000$5,263$0$0$No900,000$
Derick BrassardCharlotte (FLO)C/LW/RW341987-09-22No200 Lbs6 ft1NoNoNoNo1Pro & Farm1,400,000$8,187$0$0$No
Jake MiddletonCharlotte (FLO)D261996-01-02 05:56:33No219 Lbs6 ft3NoNoNoNo3Pro & Farm1,300,000$7,602$0$0$No1,300,000$1,300,000$
Joel KivirantaCharlotte (FLO)LW/RW261996-03-23No183 Lbs5 ft11NoNoNoNo1Pro & Farm1,200,000$7,018$0$0$NoLien
Josh MahuraCharlotte (FLO)D241998-05-05 03:34:15Yes185 Lbs6 ft0NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$
Mike CondonCharlotte (FLO)G321990-04-27 06:04:04No199 Lbs6 ft2NoNoNoNo2Pro & Farm875,000$5,117$0$0$No875,000$Lien
Mike ReillyCharlotte (FLO)D281993-07-13 07:01:58No199 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$4,386$0$0$NoLien
Nikita FilatovCharlotte (FLO)LW/RW321990-01-11No196 Lbs6 ft6NoNoNoNo2Pro & Farm1,510,000$8,830$0$0$No1,510,000$
Patrik BerglundCharlotte (FLO)C/LW/RW341988-06-02No201 Lbs6 ft4NoNoNoNo1Pro & Farm1,300,000$7,602$0$0$NoLien
Phil KesselCharlotte (FLO)LW/RW341987-10-02No208 Lbs5 ft11NoNoNoNo1Pro & Farm1,200,000$7,018$0$0$No
Sami NikuCharlotte (FLO)D251996-10-10 04:45:25Yes176 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Tanner Pearson (contrat à 1 volet)Charlotte (FLO)LW291992-08-10 07:32:29No201 Lbs6 ft1NoNoYesYes3Pro & Farm850,000$8,500$0$No850,000$850,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.80204 Lbs6 ft21.50947,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carl GrundstromCody GlassJoel Kiviranta38005
2Nikita FilatovDerick BrassardBrendan Lemieux35005
3Alex ChiassonPatrik BerglundPhil Kessel22122
4Tanner PearsonBrandon DubinskyAndrei Kostitsyn5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuArtem Zub38023
2Josh MahuraJake Middleton37023
3Mike Reilly25023
4Artem Zub0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carl GrundstromCody GlassJoel Kiviranta60005
2Nikita FilatovDerick BrassardBrendan Lemieux40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuArtem Zub60005
2Josh MahuraJake Middleton40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Patrik BerglundTanner Pearson50140
2Brandon DubinskyPhil Kessel50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuArtem Zub50140
2Josh MahuraJake Middleton50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Patrik Berglund50140Sami NikuArtem Zub50140
2Brandon Dubinsky50140Josh MahuraJake Middleton50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassJoel Kiviranta50005
2Derick BrassardBrendan Lemieux50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuArtem Zub50005
2Josh MahuraJake Middleton50005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromCody GlassJoel KivirantaSami NikuArtem Zub
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phil KesselCody GlassJoel KivirantaJake MiddletonArtem Zub
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Filatov, Patrik Berglund, Alex ChiassonNikita Filatov, Patrik BerglundAlex Chiasson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Niku, Artem Zub, Josh MahuraJake MiddletonArtem Zub, Josh Mahura
Tirs de pénalité
Derick Brassard, Phil Kessel, Joel Kiviranta, Alex Chiasson, Brendan Lemieux
Gardien
#1 : Al Montoya, #2 : Mike Condon
Lignes d’attaque personnalisées en prolongation
Cody Glass, Joel Kiviranta, Carl Grundstrom, Brendan Lemieux, Nikita Filatov, Derick Brassard, Derick Brassard, Andrei Kostitsyn, Alex Chiasson, Phil Kessel, Patrik Berglund
Lignes de défense personnalisées en prolongation
Sami Niku, Artem Zub, Josh Mahura, Jake Middleton, Mike Reilly


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
TotalDomicileVisiteur
# 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
1Abbotsford2200000014410110000005321100000091841.000142640001431291137115124914321314447322213513323.08%8275.00%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
2Bakersfield21100000651110000005231010000013-220.5006111700143129113785124914321314448415223910220.00%10370.00%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
3Bridgeport650001003118133200010013853300000018108110.91731558600143129113728712491432131444300836112225624.00%28582.14%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
4Cleveland422000001618-22110000078-121100000910-140.5001628440014312911371821249143213144418352446818422.22%21480.95%12112389654.21%1962379351.73%785147953.08%1957131419126311088541
5Coachella Valley4400000023111222000000972220000001441081.0002344670014312911371921249143213144417167786325832.00%26292.31%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
6Eagles2010010068-21000010023-11010000045-110.2506111700143129113789124914321314449331204110110.00%10280.00%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
7Grand Rapids43001000241410210010001411322000000103781.0002442660014312911372291249143213144416239366511218.18%17288.24%12112389654.21%1962379351.73%785147953.08%1957131419126311088541
8Hartford640002003526933000000211293100020014140100.833356610100143129113731312491432131444268868612522940.91%31680.65%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
9Hershey74201000272164210100015141321000001275100.71427467300143129113730512491432131444301847114128828.57%33875.76%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
10Iowa2020000057-21010000023-11010000034-100.00051015001431291137112124914321314448617224210110.00%10280.00%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
11Laval431000001284211000005412200000074360.750122234001431291137231124914321314441725339631715.88%17194.12%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
12Lehigh Valley622011002628-2311001001418-4311010001210270.58326467200143129113727112491432131444277975312222627.27%23578.26%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
13Manitoba312000001214-2211000007701010000057-220.3331217291014312911371621249143213144414736315617211.76%12558.33%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
14Ontario211000001156110000008171010000034-120.50011203100143129113712112491432131444742463311327.27%3166.67%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
15Providence43100000201372200000014592110000068-260.7502035550014312911372021249143213144417749329314428.57%13284.62%12112389654.21%1962379351.73%785147953.08%1957131419126311088541
16Rochester412000101918120100010101002110000098140.5001932510014312911371971249143213144418753557410110.00%25868.00%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
17Rockford2010001078-11010000024-21000001054120.500710170014312911377512491432131444932743316233.33%19194.74%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
18San Diego3110001011921010000013-221000010106440.6671117280014312911371321249143213144414944416011327.27%13284.62%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
19San Jose220000001165110000004311100000073441.000111930001431291137114124914321314448226144110330.00%7185.71%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
20Springfield220000001578110000009361100000064241.000152742001431291137101124914321314441172318414250.00%90100.00%12112389654.21%1962379351.73%785147953.08%1957131419126311088541
21Syracuse220000001385110000007521100000063341.00013243700143129113788124914321314441113246409444.44%12283.33%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
22Texas20200000610-41010000036-31010000034-100.000612180014312911378612491432131444842528334125.00%14657.14%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
23Wilkes-Barre/Scranton7610000041202133000000183154310000023176120.857417111201143129113733812491432131444328101105128291034.48%38294.74%02112389654.21%1962379351.73%785147953.08%1957131419126311088541
Total82492203530391286105412510023101951435241241201220196143531150.70139169110821114312911374027124914321314443719108697215563368625.60%3997281.95%42112389654.21%1962379351.73%785147953.08%1957131419126311088541
_Since Last GM Reset82492203530391286105412510023101951435241241201220196143531150.70139169110821114312911374027124914321314443719108697215563368625.60%3997281.95%42112389654.21%1962379351.73%785147953.08%1957131419126311088541
_Vs Conference563711034102741957928185022101401004028196012001349539860.768274487761011431291137274712491432131444252676466010642215926.70%2724583.46%32112389654.21%1962379351.73%785147953.08%1957131419126311088541
_Vs Division36215024001761314518112012008863251810301200886820500.69417631248801143129113716961249143213144416575034207061444329.86%1743082.76%12112389654.21%1962379351.73%785147953.08%1957131419126311088541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82115W23916911082402737191086972155611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8249223530391286
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125102310195143
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4124121220196143
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3368625.60%3997281.95%4
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
124914321314441431291137
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
2112389654.21%1962379351.73%785147953.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1957131419126311088541


Derniers matchs 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
210Charlotte5Bridgeport3AWSommaire du match
419Hershey6Charlotte3BLSommaire du match
530Charlotte3Lehigh Valley2AWXSommaire du match
741Charlotte2Hershey4ALSommaire du match
848Lehigh Valley3Charlotte2BLXSommaire du match
1165Wilkes-Barre/Scranton0Charlotte7BWSommaire du match
1271Charlotte6Hartford4AWSommaire du match
1588Bridgeport3Charlotte2BLXSommaire du match
17101Hershey3Charlotte4BWXSommaire du match
18106Charlotte11Wilkes-Barre/Scranton5AWSommaire du match
21126Wilkes-Barre/Scranton1Charlotte8BWSommaire du match
22134Charlotte4Hartford5ALXSommaire du match
24148Charlotte4Hartford5ALXSommaire du match
26159Lehigh Valley10Charlotte3BLSommaire du match
28170Charlotte10Coachella Valley1AWSommaire du match
30182Hartford5Charlotte7BWSommaire du match
33198San Diego3Charlotte1BLSommaire du match
35211Charlotte5Bridgeport3AWSommaire du match
37223Charlotte7Rochester4AWSommaire du match
38234Wilkes-Barre/Scranton2Charlotte3BWSommaire du match
40246Bridgeport3Charlotte5BWSommaire du match
43261Charlotte7San Jose3AWSommaire du match
44270Rockford4Charlotte2BLSommaire du match
46282Charlotte4Providence3AWSommaire du match
49295Abbotsford3Charlotte5BWSommaire du match
51310Charlotte5Manitoba7ALSommaire du match
53318Charlotte4San Diego1AWSommaire du match
55330Rochester4Charlotte3BLSommaire du match
57344Charlotte6San Diego5AWXXSommaire du match
58353Charlotte4Wilkes-Barre/Scranton2AWSommaire du match
60361Rochester6Charlotte7BWXXSommaire du match
62373Syracuse5Charlotte7BWSommaire du match
65387Charlotte6Springfield4AWSommaire du match
66400Lehigh Valley5Charlotte9BWSommaire du match
69415Charlotte4Hershey1AWSommaire du match
70421Charlotte5Cleveland4AWSommaire du match
72432Cleveland6Charlotte1BLSommaire du match
74448Ontario1Charlotte8BWSommaire du match
76462Charlotte6Hershey2AWSommaire du match
78473Hartford5Charlotte6BWSommaire du match
80484Charlotte6Syracuse3AWSommaire du match
82496Hartford2Charlotte8BWSommaire du match
84511Charlotte9Abbotsford1AWSommaire du match
86517Eagles3Charlotte2BLXSommaire du match
88533Charlotte4Coachella Valley3AWSommaire du match
89540Charlotte4Cleveland6ALSommaire du match
91550San Jose3Charlotte4BWSommaire du match
94565Charlotte4Grand Rapids2AWSommaire du match
95575Hershey2Charlotte4BWSommaire du match
98591Charlotte8Bridgeport4AWSommaire du match
100598Coachella Valley4Charlotte5BWSommaire du match
102610Charlotte5Rockford4AWXXSommaire du match
103620Hershey3Charlotte4BWSommaire du match
105630Charlotte2Laval1AWSommaire du match
106641Coachella Valley3Charlotte4BWSommaire du match
108655Charlotte4Lehigh Valley5ALSommaire du match
110667Laval3Charlotte2BLSommaire du match
113685Bakersfield2Charlotte5BWSommaire du match
115690Charlotte2Rochester4ALSommaire du match
117705Charlotte5Laval3AWSommaire du match
118714Springfield3Charlotte9BWSommaire du match
120724Charlotte5Lehigh Valley3AWSommaire du match
122737Iowa3Charlotte2BLSommaire du match
125756Cleveland2Charlotte6BWSommaire du match
127763Charlotte1Bakersfield3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
131780Charlotte3Ontario4ALSommaire du match
132788Providence4Charlotte6BWSommaire du match
136806Providence1Charlotte8BWSommaire du match
138817Charlotte4Eagles5ALSommaire du match
140828Texas6Charlotte3BLSommaire du match
142836Charlotte3Wilkes-Barre/Scranton6ALSommaire du match
145854Grand Rapids6Charlotte7BWXSommaire du match
147870Charlotte3Iowa4ALSommaire du match
149880Laval1Charlotte3BWSommaire du match
152898Grand Rapids5Charlotte7BWSommaire du match
153904Charlotte5Wilkes-Barre/Scranton4AWSommaire du match
155911Charlotte2Providence5ALSommaire du match
156916Charlotte6Grand Rapids1AWSommaire du match
158932Manitoba5Charlotte3BLSommaire du match
161949Charlotte3Texas4ALSommaire du match
163958Bridgeport2Charlotte6BWSommaire du match
169980Manitoba2Charlotte4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance61,32331,122
Assistance PCT74.78%75.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2255 - 75.16% 131,701$5,399,741$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,417,707$ 1,680,500$ 1,680,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,827$ 1,926,467$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 18,599$ 18,599$




Charlotte Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tyler Graovac24282108190201012263698659.48%41438618.121244561944262511255.25%20.8704
2Madison Bowey15440112152-41982402144029.95%368383324.891628442100228020%00.7900
3Joshua Leivo13876721480284416673810.30%42297621.572626521720002610652.53%20.9922
4Garnet Hathaway2465192143272484941545639.06%44335313.631617339825777253.05%20.8533
5Kale Clague2363299131-112002641924307.44%466485320.561131421970446600%00.5400

Charlotte Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Corey Crawford102424840.9104.05557516037641960000.50012
2Kevin Lankinen37211130.9013.0921762311211370201.00010
3Robin Lehner48202220.9124.03256116017219540000.6676
4Nico Daws47192160.8983.1327386014314000220.77322
5Curtis McElhinney2261220.9113.97130100869680000.85714

Charlotte Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
208232320465328026218411714015401511262541151803113129136-7912804977772394908713272584290194470256279288314113536317.85%3505983.14%31702309654.97%1572292853.69%727132055.08%2069141918356151079552
2182284305123307343-3641152004002173174-141132301121134169-3574307547854001209189103576121010961227613752111196415803707119.19%40610075.37%51878355352.86%1874380349.28%722143250.42%1905127419646431089541
2182284305123307343-3641152004002173174-141132301121134169-3574307547854001209189103576121010961227613752111196415803707119.19%40610075.37%51878355352.86%1874380349.28%722143250.42%1905127419646431089541
Total Saison régulière2461436501212104111181030112376270675256839217612367380655254341812534611111963307424414358317261093934333786362114510147294928244482105225023.76%116720182.78%1160331099054.90%56561069252.90%2309427953.96%591139865726189332521622
Séries éliminatoires
201055000002931-2431000001192624000001822-41029548300111170338901321160347741151854349.30%501080.00%020939253.32%19742146.79%7915550.97%2311562367813265
Total Séries éliminatoires221480000077601712930000043301310550000034304287713521201302023478725824525232705222225434891617.98%1051684.76%245486252.67%43983352.70%19735655.34%543371530168291147

Charlotte Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jujhar Khaira82571271611248.33%016320.46101900000047.28%00.8600
2Tyler Graovac10347406142512.00%220620.63022600021052.58%00.6800
3Dmitrij Jaskin1061702793616.67%118618.69000500010140.00%00.7500
4Samuel Girard1025716617229.09%1025025.07123130000000%00.5600
5Steven Lorentz1016710317128.33%112212.26000000000058.93%01.1400

Charlotte Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Kevin Lankinen95310.9152.89540002630700000
2Nico Daws10100.8755.00600054000000