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Connexion

Charlotte
GP: 82 | W: 51 | L: 26 | OTL: 5 | P: 107
GF: 300 | GA: 242 | PP%: 21.57% | PK%: 82.59%
DG: Tommy Morel | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Charlotte
51-26-5, 107pts
6
FINAL
5 Rochester
24-51-7, 55pts
Team Stats
L1SéquenceL3
30-11-0Fiche domicile11-25-5
21-15-5Fiche domicile13-26-2
3-5-2Derniers 10 matchs3-6-1
3.66Buts par match 2.73
2.95Buts contre par match 4.24
21.57%Pourcentage en avantage numérique16.62%
82.59%Pourcentage en désavantage numérique74.79%
Charlotte
51-26-5, 107pts
1
FINAL
2 Cleveland
41-33-8, 90pts
Team Stats
L1SéquenceW2
30-11-0Fiche domicile19-15-7
21-15-5Fiche domicile22-18-1
3-5-2Derniers 10 matchs4-5-1
3.66Buts par match 3.50
2.95Buts contre par match 3.13
21.57%Pourcentage en avantage numérique17.75%
82.59%Pourcentage en désavantage numérique81.08%
Meneurs d'équipe
Michael AmadioButs
Michael Amadio
32
Passes
Josh Mahura
52
Michael AmadioPoints
Michael Amadio
79
Plus/Moins
Josh Mahura
17
Victoires
Logan Thompson
37
Pourcentage d’arrêts
Mike Condon
0.925

Statistiques d’équipe
Buts pour
300
3.66 GFG
Tirs pour
3319
40.48 Avg
Pourcentage en avantage numérique
21.6%
77 GF
Début de zone offensive
42.8%
Buts contre
242
2.95 GAA
Tirs contre
2955
36.04 Avg
Pourcentage en désavantage numérique
82.6%%
55 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralTommy Morel
EntraîneurPeter Laviolette
DivisionNord
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,265
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs67


Historique d'équipe

Saison actuelle51-26-5 (107PTS)
Historique0-0-0
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
1Nikita FilatovXX100.006430986674637873316769607778652750003311,510,000$
2Carl HagelinXX100.00664284727180847055717064787662265000341500,000$
3Juraj Slafkovsky (R)XX100.00893583799388997770767664772929885000193900,000$
4Luke GlendeningXX100.00792790678175906594636772748084125000341500,000$
5Bryan LittleXX100.00823585607580986776657168798880255000351500,000$
6Garrett WilsonXX100.00754270678262876972687260816860345000321700,000$
7Reilly SmithXX100.007331947670839575647376658661553850003221,750,000$
8Radim Zohorna (R)XXX100.00743094709372996670647071775757505000271500,000$
9Kyle TurrisXXX100.007230946868788777647474658077652350003321,720,000$
10Noel AcciariXX100.00813193698182897184687574836965345000311875,000$
11Michael AmadioXXX100.006935998288858974887274638051485050002711,910,000$
12Mike ReillyX100.00793078748386814950494486745858405000291775,000$
13Niklaus Perbix (R)X100.00812599718683995470604492755050705000251600,000$
14Artem ZubX100.00843274738788865171525293785553585000272950,000$
15Nikolai Knyzhov (R)X100.00732599719084994070413990755050585000251600,000$
16Klas DahlbeckX100.006342786689749457505454907367643850003111,200,000$
17Josh Mahura (R)X100.00792775878181995652575492784948615000251500,000$
Rayé
1Josh GorgesX100.00633081437070804250454092508799115000381500,000$
MOYENNE D’ÉQUIPE100.0075328770817991636662627676646141500
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
1Mike Condon99.0066838378778889878881707777385000331875,000$
2Logan Thompson (R)100.0067968884768783868681795252745000261700,000$
Rayé
1Adam Dennis100.0061837575698584848566719994125000381500,000$
MOYENNE D’ÉQUIPE99.676587827974878586867673767441500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette92888585999955USA6033,500,000$


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
1Michael AmadioCharlotte (FLO)C/LW/RW823247796251544902969424910.81%6162119.78112031762890112245256.74%28200100.9702111633
2Noel AcciariCharlotte (FLO)C/RW822649751620160112302722088.61%25174221.241016267027600041613052.19%95800000.8602000277
3Kyle TurrisCharlotte (FLO)C/LW/RW82225173816069148246681888.94%3162519.8351621512910001345145.87%225200000.9001000413
4Josh MahuraCharlotte (FLO)D821452661770011295224621426.25%144192323.451014241302960003222410%000010.6900000234
5Reilly SmithCharlotte (FLO)LW/RW82293564534107478327802178.87%10151918.53791678276000005148.03%12700000.8401002242
6Niklaus PerbixCharlotte (FLO)D828505817400988314647915.48%131189723.1431720722870111246100%000100.6100000031
7Klas DahlbeckCharlotte (FLO)D8214445864754773178621327.87%122182622.2761723872670222230210%000000.6400001423
8Radim ZohornaCharlotte (FLO)C/LW/RW8230124211341062542435814912.35%10130615.93437321341012816245.63%10300010.6400101333
9Artem ZubCharlotte (FLO)D82162541680016984181521368.84%147187622.889918892801018225410%100000.4401000061
10Jordan StaalFlorideC701617331238096132145399211.03%12103414.780000000051982253.00%148300000.6400000155
11Carl HagelinCharlotte (FLO)LW/RW791117281033152862155431327.10%897212.31000031016641138.71%9300000.5800201110
12Mike ReillyCharlotte (FLO)D823212412620118486323434.76%85114513.9600027000018000%000000.4200000030
13Nikolai KnyzhovCharlotte (FLO)D82321241432029545821415.17%92121114.7700013000396100%000000.4000000001
14Juraj SlafkovskyCharlotte (FLO)LW/RW2912112314359727110428010.91%157319.7835827104000001043.40%5300000.8012100222
15Bryan LittleCharlotte (FLO)C/RW761071714335433867163614.93%35457.170000021371222051.52%42700000.6201010022
16Luke GlendeningCharlotte (FLO)C/RW4487151260194175124210.67%644810.190000013471262058.69%42600000.6700000002
17Nikita FilatovCharlotte (FLO)LW/RW8236962010306322564.76%04415.3800014000001038.64%4400000.4100000000
18Sean KuralyFlorideC/LW42448720131538102610.53%42686.40000000004941073.08%2600000.5900000200
19Garrett WilsonCharlotte (FLO)LW/RW3434791001410358128.57%11905.6000000000000038.46%1300000.7401000000
Statistiques d’équipe totales ou en moyenne13582644807441746696513021274295283120728.94%8102216916.336812619471625256814551946461250.21%628800220.67111526294539
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
1Logan ThompsonCharlotte (FLO)63372050.9173.0037234118622310210.87586218742
2Mike CondonCharlotte (FLO)2114600.9252.65122561547230101.00032062402
Statistiques d’équipe totales ou en moyenne84512650.9192.91494810224029540311182801144


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam DennisCharlotte (FLO)G381985-02-08CANNo197 Lbs5 ft11NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm500,000$0$0$No---------------------------
Artem ZubCharlotte (FLO)D271995-10-03RUSNo203 Lbs6 ft2NoNoN/ANoNo22024-09-15FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Bryan LittleCharlotte (FLO)C/RW351987-11-12CANNo216 Lbs5 ft11NoNoFree AgentNoNo12024-10-14FalseFalsePro & Farm500,000$0$0$No---------------------------
Carl HagelinCharlotte (FLO)LW/RW341988-08-23SWENo195 Lbs5 ft11NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Garrett WilsonCharlotte (FLO)LW/RW321991-03-16CANNo204 Lbs6 ft2NoNoFree AgentNoNo12024-10-14FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Josh GorgesCharlotte (FLO)D381984-08-14CANNo204 Lbs6 ft1NoNoFree AgentNoNo12024-10-09FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Josh MahuraCharlotte (FLO)D251998-05-05CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Juraj SlafkovskyCharlotte (FLO)LW/RW192004-03-30SVKYes230 Lbs6 ft3NoNoTrade2024-12-18NoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Klas DahlbeckCharlotte (FLO)D311991-07-06SWENo213 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kyle TurrisCharlotte (FLO)C/LW/RW331989-08-14CANNo185 Lbs6 ft1NoNoFree AgentNoNo22024-09-25FalseFalsePro & Farm1,720,000$0$0$No1,720,000$--------1,720,000$--------No--------Lien
Logan ThompsonCharlotte (FLO)G261997-02-25NAYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Luke GlendeningCharlotte (FLO)C/RW341989-04-28USANo190 Lbs5 ft11NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Michael AmadioCharlotte (FLO)C/LW/RW271996-05-13CANNo207 Lbs6 ft1NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,910,000$0$0$No---------------------------Lien / Lien NHL
Mike CondonCharlotte (FLO)G331990-04-27USANo199 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Mike ReillyCharlotte (FLO)D291993-07-13USANo199 Lbs6 ft1NoNoN/ANoNo12024-09-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nikita FilatovCharlotte (FLO)LW/RW331990-01-11RUSNo196 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,510,000$0$0$No---------------------------
Niklaus PerbixCharlotte (FLO)D251998-06-15USAYes202 Lbs6 ft3NoNoProspectNoNo12024-09-20FalseFalsePro & Farm600,000$0$0$No---------------------------
Nikolai KnyzhovCharlotte (FLO)D251998-03-20NAYes222 Lbs6 ft3NoNoProspectNoNo12024-09-20FalseFalsePro & Farm600,000$0$0$No---------------------------
Noel AcciariCharlotte (FLO)C/RW311991-12-01USANo207 Lbs5 ft10NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm875,000$0$0$No---------------------------Lien / Lien NHL
Radim ZohornaCharlotte (FLO)C/LW/RW271996-04-29CZEYes220 Lbs6 ft6NoNoProspectNoNo12024-09-20FalseFalsePro & Farm500,000$0$0$No---------------------------
Reilly SmithCharlotte (FLO)LW/RW321991-04-01CANNo197 Lbs6 ft0NoNoTrade2025-03-13NoNo22024-09-28FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.19204 Lbs6 ft21.24884,048$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyKyle TurrisMichael Amadio35014
2Reilly SmithNoel AcciariRadim Zohorna35014
3Carl HagelinBryan LittleLuke Glendening25014
4Garrett WilsonNoel AcciariNikita Filatov5023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraArtem Zub38014
2Niklaus PerbixKlas Dahlbeck37014
3Mike ReillyNikolai Knyzhov25023
4Josh MahuraArtem Zub0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyMichael AmadioKyle Turris60005
2Reilly SmithNoel AcciariRadim Zohorna40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraArtem Zub60005
2Niklaus PerbixKlas Dahlbeck40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luke GlendeningCarl Hagelin50140
2Bryan Little50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraArtem Zub50140
2Niklaus PerbixKlas Dahlbeck50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noel Acciari50140Josh MahuraArtem Zub50140
250140Niklaus PerbixKlas Dahlbeck50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Noel Acciari50122
2Kyle TurrisJuraj Slafkovsky50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraArtem Zub50122
2Niklaus PerbixKlas Dahlbeck50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyMichael AmadioKyle TurrisJosh MahuraArtem Zub
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyMichael AmadioKyle TurrisJosh MahuraArtem Zub
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Filatov, Michael Amadio, Radim ZohornaNikita Filatov, Michael AmadioRadim Zohorna
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Reilly, Nikolai Knyzhov, Niklaus PerbixMike ReillyNikolai Knyzhov, Niklaus Perbix
Tirs de pénalité
Noel Acciari, Michael Amadio, Juraj Slafkovsky, Kyle Turris, Reilly Smith
Gardien
#1 : Mike Condon, #2 : Logan Thompson
Lignes d’attaque personnalisées en prolongation
Noel Acciari, , Juraj Slafkovsky, Kyle Turris, Reilly Smith, Luke Glendening, Michael Amadio, Radim Zohorna, Bryan Little, Garrett Wilson
Lignes de défense personnalisées en prolongation
Josh Mahura, Artem Zub, Niklaus Perbix, Klas Dahlbeck, 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
1Abbotsford310011001284100010004312100010085350.833122133001171047451311128110110663510641285213538.46%14192.86%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
2Bakersfield3210000012120110000005322110000079-240.667122133001171047451641128110110663511033184121419.05%9366.67%11762344851.10%1694325652.03%676134750.19%1925129319416341085549
3Bridgeport440000001697220000009542200000074381.000162844001171047451751128110110663512728316730723.33%120100.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
4Cleveland41300000913-42110000068-22020000035-220.2509142300117104745131112811011066351483638661815.56%180100.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
5Coachella Valley310011001192110000004222000110077050.8331120310011710474511511281101106635123373664800.00%12375.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
6Eagles32100000963211000006421100000032140.6679162500117104745128112811011066359827195118633.33%6266.67%11762344851.10%1694325652.03%676134750.19%1925129319416341085549
7Grand Rapids4310000012111220000007432110000057-260.75012223400117104745192112811011066351414128922229.09%14285.71%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
8Hartford4400000027720220000001541122000000123981.000274875011171047451711128110110663513734296612650.00%120100.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
9Hershey421010001495211000007612100100073460.750142438001171047451321128110110663514748246912325.00%12283.33%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
10Iowa320001001284220000008351000010045-150.8331221330011710474514011281101106635873130451417.14%9277.78%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
11Laval43001000191182200000010552100100096381.000193655001171047451691128110110663516137416119842.11%18572.22%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
12Lehigh Valley4300010016106220000009452100010076170.875162844001171047451221128110110663518655637110220.00%28292.86%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
13Manitoba31200000912-3110000005412020000048-420.33391524001171047451191128110110663510532244315213.33%11645.45%11762344851.10%1694325652.03%676134750.19%1925129319416341085549
14Ontario3210000012102220000009451010000036-340.66712233500117104745112112811011066359235295711327.27%12375.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
15Providence514000001315-2312000009902020000046-220.20013233600117104745188112811011066351816136801915.26%17194.12%21762344851.10%1694325652.03%676134750.19%1925129319416341085549
16Rochester43100000181352110000085322000000108260.750183250001171047451691128110110663513940268217635.29%13284.62%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
17Rockford330000001358220000009271100000043161.00013253801117104745132112811011066359924165317635.29%8275.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
18San Diego312000001214-22110000078-11010000056-120.33312193100117104745102112811011066351203738688337.50%19668.42%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
19San Jose402000111116-52010001069-32010000157-230.375111728001171047451501128110110663516440556512325.00%24675.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
20Springfield31200000810-21010000024-22110000066020.33381321001171047451261128110110663510829204816425.00%10280.00%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
21Syracuse4220000011110211000006602110000055040.50011203100117104745169112811011066351364034561700.00%12283.33%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
22Texas312000001112-11100000042220200000710-320.333112031101171047451141128110110663510016145312433.33%6183.33%01762344851.10%1694325652.03%676134750.19%1925129319416341085549
23Wilkes-Barre/Scranton43100000131122110000057-22200000084460.75013203300117104745168112811011066351402647941600.00%20290.00%11762344851.10%1694325652.03%676134750.19%1925129319416341085549
Total824626044113002425841281101010160111494118150340114013191070.65230052682612117104745331911281101106635295582872414443577721.57%3165582.59%61762344851.10%1694325652.03%676134750.19%1925129319416341085549
_Since Last GM Reset824626044113002425841281101010160111494118150340114013191070.65230052682612117104745331911281101106635295582872414443577721.57%3165582.59%61762344851.10%1694325652.03%676134750.19%1925129319416341085549
_Vs Conference452913021001681204823167000009163282213602100775720630.7001682954630111710474517861128110110663516434463978041923618.75%1761889.77%31762344851.10%1694325652.03%676134750.19%1925129319416341085549
_Vs Division211280100073611211740000040291110540100033321260.619731332060011710474588711281101106635758219165371941718.09%741283.78%21762344851.10%1694325652.03%676134750.19%1925129319416341085549

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82107L130052682633192955828724144412
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8246264411300242
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4128111010160111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118153401140131
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3577721.57%3165582.59%6
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
11281101106635117104745
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
1762344851.10%1694325652.03%676134750.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1925129319416341085549


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
28Bridgeport2Charlotte5WSommaire du match
417Charlotte3Texas5LSommaire du match
630Charlotte3Syracuse2WSommaire du match
943Providence3Charlotte2LSommaire du match
1258Iowa2Charlotte4WSommaire du match
1466Charlotte4Coachella Valley3WXSommaire du match
1679Charlotte4Lehigh Valley5LXSommaire du match
1788Syracuse3Charlotte2LSommaire du match
20100Charlotte4Rochester3WSommaire du match
22111Cleveland2Charlotte3WSommaire du match
24122Charlotte4Laval2WSommaire du match
26135Rochester3Charlotte2LSommaire du match
28144Charlotte4Wilkes-Barre/Scranton1WSommaire du match
30155Charlotte4Hershey1WSommaire du match
31163San Diego3Charlotte5WSommaire du match
35179Charlotte4Hartford3WSommaire du match
36189Grand Rapids1Charlotte3WSommaire du match
38203Charlotte3Coachella Valley4LXSommaire du match
40212Syracuse3Charlotte4WSommaire du match
43228Coachella Valley2Charlotte4WSommaire du match
45241Charlotte3Lehigh Valley1WSommaire du match
47251Charlotte1Providence2LSommaire du match
49259Bridgeport3Charlotte4WSommaire du match
51270Charlotte3Bridgeport2WSommaire du match
53281Bakersfield3Charlotte5WSommaire du match
55296Charlotte3Ontario6LSommaire du match
56304San Diego5Charlotte2LSommaire du match
59318Charlotte5San Diego6LSommaire du match
61330Laval2Charlotte4WSommaire du match
63338Charlotte3Springfield5LSommaire du match
65351Charlotte3Hershey2WXSommaire du match
66360Lehigh Valley3Charlotte5WSommaire du match
70378Abbotsford3Charlotte4WXSommaire du match
72387Charlotte5Laval4WXSommaire du match
74399Rockford2Charlotte4WSommaire du match
78414Charlotte4Iowa5LXSommaire du match
80423Charlotte2Syracuse3LSommaire du match
81430Providence3Charlotte2LSommaire du match
84445Charlotte4Texas5LSommaire du match
86453Iowa1Charlotte4WSommaire du match
88466Charlotte4Rockford3WSommaire du match
90475Charlotte3Eagles2WSommaire du match
91479Manitoba4Charlotte5WSommaire du match
94500Charlotte4Wilkes-Barre/Scranton3WSommaire du match
95504Providence3Charlotte5WSommaire du match
98522Rockford0Charlotte5WSommaire du match
100534Charlotte3Providence4LSommaire du match
103548Laval3Charlotte6WSommaire du match
107564Charlotte1Grand Rapids5LSommaire du match
109572Ontario1Charlotte4WSommaire du match
113594Hartford3Charlotte7WSommaire du match
115601Charlotte2Manitoba4LSommaire du match
119619Lehigh Valley1Charlotte4WSommaire du match
124638Springfield4Charlotte2LSommaire du match
126650Charlotte4Bakersfield3WSommaire du match
129663Cleveland6Charlotte3LSommaire du match
131677Charlotte3Bakersfield6LSommaire du match
132686Ontario3Charlotte5WSommaire du match
135702Charlotte4Bridgeport2WSommaire du match
136710Wilkes-Barre/Scranton2Charlotte3WSommaire du match
139722Charlotte2Manitoba4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141735Texas2Charlotte4WSommaire du match
145753Charlotte4Grand Rapids2WSommaire du match
146759Hartford1Charlotte8WSommaire du match
148772Charlotte8Hartford0WSommaire du match
150785Grand Rapids3Charlotte4WSommaire du match
154804San Jose6Charlotte2LSommaire du match
156815Charlotte6Abbotsford2WSommaire du match
157827Hershey4Charlotte3LSommaire du match
162848Rochester2Charlotte6WSommaire du match
164860Charlotte3Springfield1WSommaire du match
167872Hershey2Charlotte4WSommaire du match
170886Charlotte2Abbotsford3LXSommaire du match
171895San Jose3Charlotte4WXXSommaire du match
174905Charlotte2San Jose3LXXSommaire du match
176917Wilkes-Barre/Scranton5Charlotte2LSommaire du match
178926Charlotte3San Jose4LSommaire du match
181942Eagles1Charlotte5WSommaire du match
184955Charlotte2Cleveland3LSommaire du match
186962Eagles3Charlotte1LSommaire du match
187965Charlotte6Rochester5WSommaire du match
192979Charlotte1Cleveland2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,14330,709
Assistance PCT75.78%74.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2265 - 75.49% 132,643$5,438,367$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,469,985$ 1,856,500$ 1,856,500$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,570$ 1,969,998$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 27,611$ 0$




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

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

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

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

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