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Charlotte
GP: 20 | W: 16 | L: 4
GF: 73 | GA: 45 | PP%: 27.45% | PK%: 87.84%
DG: Tommy Morel | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Charlotte
16-4-0, 32pts
4
FINAL
2 San Diego
13-9-0, 26pts
Team Stats
W2SéquenceL2
9-2-0Fiche domicile8-2-0
7-2-0Fiche domicile5-7-0
9-0-1Derniers 10 matchs5-4-1
3.65Buts par match 3.59
2.25Buts contre par match 3.18
27.45%Pourcentage en avantage numérique20.56%
87.84%Pourcentage en désavantage numérique79.17%
San Diego
13-9-0, 26pts
4
FINAL
6 Charlotte
16-4-0, 32pts
Team Stats
L2SéquenceW2
8-2-0Fiche domicile9-2-0
5-7-0Fiche domicile7-2-0
5-4-1Derniers 10 matchs9-0-1
3.59Buts par match 3.65
3.18Buts contre par match 2.25
20.56%Pourcentage en avantage numérique27.45%
79.17%Pourcentage en désavantage numérique87.84%
Meneurs d'équipe
Reilly SmithButs
Reilly Smith
14
Noel AcciariPasses
Noel Acciari
18
Noel AcciariPoints
Noel Acciari
27
Plus/Moins
Josh Mahura
10
Victoires
Mike Condon
10
Pourcentage d’arrêts
Mike Condon
0.952

Statistiques d’équipe
Buts pour
73
3.65 GFG
Tirs pour
746
37.30 Avg
Pourcentage en avantage numérique
27.5%
28 GF
Début de zone offensive
42.1%
Buts contre
45
2.25 GAA
Tirs contre
702
35.10 Avg
Pourcentage en désavantage numérique
87.8%%
9 GA
Début de la zone défensive
42.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,860
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs67


Historique d'équipe

Saison actuelle16-4
Historique80-27-14 (0.661%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)34 - 19 (0.642%)
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 FilatovXX100.006330986674637873316669607778652750003311,510,000$
2Carl HagelinXX100.00664285727180847055717063787662265000341500,000$
3Juraj Slafkovsky (R)XX100.00903583799388997870777664772929885000193900,000$
4Luke GlendeningXX100.00792790678175906594636772748084125000341500,000$
5Bryan LittleXX100.00823585607580986676657167798880255000351500,000$
6Garrett WilsonXX100.00744271678262876972677259816860345000321700,000$
7Reilly SmithXX100.007331947670839575647377658661553850003221,750,000$
8Radim Zohorna (R)XXX100.00743094709372996670657071775757505000271500,000$
9Kyle TurrisXXX100.007130946868788777647474658077652350003321,720,000$
10Noel AcciariXX100.00813193698182897284687573836965345000311875,000$
11Michael AmadioXXX100.006935998288858975887275638051485050002711,910,000$
12Mike ReillyX100.00793078748386815050504586745858405000291775,000$
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’ÉQUIPE100.0075328770817991636662627576646141500
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 Condon100.0066838378778989889081707878385000331875,000$
2Logan Thompson (R)100.0067968884768784868681795353745000261700,000$
Rayé
1Adam Dennis100.0061837575698584848566719994125000381500,000$
MOYENNE D’ÉQUIPE100.006587827974878686877673777541500
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
1Noel AcciariCharlotte (FLO)C/RW20918278140406181275911.11%242321.1929111570000113051.60%62600001.2700000223
2Reilly SmithCharlotte (FLO)LW/RW2014923820142075244918.67%237118.5673101770000005145.45%3300011.2400000310
3Juraj SlafkovskyCharlotte (FLO)LW/RW2071421-1220672269305410.14%340620.334592182000002143.33%3000001.0300000221
4Josh MahuraCharlotte (FLO)D20316191014020356018365.00%3447823.931563185000058100%000100.7900000012
5Kyle TurrisCharlotte (FLO)C/LW/RW207916-10063660153811.67%140620.343471581000000048.64%47900010.7900000210
6Artem ZubCharlotte (FLO)D20114151012035144211282.38%2947923.971562385000158010%000000.6300000011
7Niklaus PerbixCharlotte (FLO)D205914-618029262492320.83%2645022.5047111667000056120%000000.6200000110
8Radim ZohornaCharlotte (FLO)C/LW/RW203101388021204711416.38%338719.360335700000150062.50%3200000.6700000001
9Michael AmadioCharlotte (FLO)C/LW/RW209413-2221092167183613.43%138619.353141977000002054.60%16300000.6700020010
10Klas DahlbeckCharlotte (FLO)D203811-6201014203215229.38%2644522.293361667000055000%000000.4900002001
11Carl HagelinCharlotte (FLO)LW/RW2037102957175514305.45%131015.55000000000561044.83%2900000.6400010001
12Mike ReillyCharlotte (FLO)D20358518030162381313.04%2328414.240000100004100%000000.5600000001
13Luke GlendeningCharlotte (FLO)C/RW2034726013314410366.82%531215.63000010001540060.48%12400000.4500000010
14Bryan LittleCharlotte (FLO)C/RW2033621402635368308.33%131115.59000000003550052.15%32600000.3800000000
15Nikita FilatovCharlotte (FLO)LW/RW20022100438370%0723.6201104000120027.78%1800000.5500000000
16Nikolai KnyzhovCharlotte (FLO)D200225401516165100%1930015.0000000000024000%000000.1300000000
17Garrett WilsonCharlotte (FLO)LW/RW20011020227360%0482.4500000000000050.00%400000.4100000000
Statistiques d’équipe totales ou en moyenne3407313520845185253523957462295189.79%176587717.29284674178768000744216551.39%186400120.7100032101111
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
1Mike CondonCharlotte (FLO)1110010.9521.70669231939503000119410
2Logan ThompsonCharlotte (FLO)96210.9152.85548212630700000911020
Statistiques d’équipe totales ou en moyenne2016220.9362.221218444570203002020430


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
1Cleveland440000001789220000009272200000086281.0001731480119252811522452472431111027577122836.36%14285.71%044283153.19%39383946.84%14130546.23%470317483158265131
2Grand Rapids440000001248220000007252200000052381.0001220320119252811432452472431114244226822627.27%110100.00%044283153.19%39383946.84%14130546.23%470317483158265131
3Laval74300000272344220000014122321000001311280.57127527900192528125424524724311272687512734926.47%35682.86%044283153.19%39383946.84%14130546.23%470317483158265131
4San Diego54100000171073300000010462110000076180.8001732490219252811972452472431117837358624520.83%14192.86%044283153.19%39383946.84%14130546.23%470317483158265131
Total20164000007345281192000004020209720000033258320.80073135208041925281746245247243117021761893521022827.45%74987.84%044283153.19%39383946.84%14130546.23%470317483158265131
_Since Last GM Reset20164000007345281192000004020209720000033258320.80073135208041925281746245247243117021761893521022827.45%74987.84%044283153.19%39383946.84%14130546.23%470317483158265131
_Vs Conference1512300000563521862000003016147610000026197240.8005610315902192528154924524724311524139154266782329.49%60886.67%044283153.19%39383946.84%14130546.23%470317483158265131
_Vs Division11830000039271264200000211475410000018135160.72739721110119252813972452472431141411297195561526.79%46686.96%044283153.19%39383946.84%14130546.23%470317483158265131

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2032W27313520874670217618935204
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2016400007345
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
119200004020
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200003325
Derniers 10 matchs
WLOTWOTL SOWSOL
900100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1022827.45%74987.84%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
245247243111925281
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
44283153.19%39383946.84%14130546.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
470317483158265131


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
11Cleveland2Charlotte5WSommaire du match
39Cleveland0Charlotte4WSommaire du match
517Charlotte3Cleveland2WXSommaire du match
725Charlotte5Cleveland4WSommaire du match
1557Laval3Charlotte2LSommaire du match
1761Laval4Charlotte7WSommaire du match
1965Charlotte4Laval5LXSommaire du match
2169Charlotte4Laval3WSommaire du match
2373Laval3Charlotte2LSommaire du match
2577Charlotte5Laval3WSommaire du match
2781Laval2Charlotte3WSommaire du match
2985Grand Rapids1Charlotte3WSommaire du match
3187Grand Rapids1Charlotte4WSommaire du match
3389Charlotte3Grand Rapids2WSommaire du match
3591Charlotte2Grand Rapids0WSommaire du match
4399San Diego0Charlotte2WSommaire du match
44100San Diego0Charlotte2WSommaire du match
45101Charlotte3San Diego4LXSommaire du match
46102Charlotte4San Diego2WSommaire du match
47103San Diego4Charlotte6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance20,97110,486
Assistance PCT95.32%95.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2860 - 95.32% 167,293$1,840,224$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 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
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1Samuel Girard81106777928701081735.78%123205525.3832225990000110%00.7501
2Austin Czarnik82304171120316823112.99%21156519.09614204810142152.91%00.9113
3Kailer Yamamoto75273764828891172919.28%19156420.86517227700054144.35%00.8227
4Jujhar Khaira106293564-910218216322912.66%13187617.7169153211243156.78%00.6824
5Rudolfs Balcers81302959-1641501033279.17%7163320.1669157200073044.68%10.7213

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
1Kevin Lankinen37211130.9013.0921762311211370201.00010
2Nico Daws47192160.8983.1327386014314000220.77322
3Jonathan Bernier2471330.9133.11140901738410020.8005
4Semyon Varlamov146710.9073.21822004447400000

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
2082452106244329238914126702132178106724119140411215113219116329581910021281009112288593592299357270977788013703807820.53%3695784.55%31809319856.57%1732310655.76%739132155.94%1995135819006301076538
233622602312137100371713200200684028199402112696095513724438112503549413824924364283912143703696421462215.07%1592683.65%1735142051.76%705137751.20%28758848.81%874592834276481242
Total Saison régulière1186727085564663381285839902332246146100602818062242201922817146682512911417813514016426714271358142196392311471249201252610019.01%5288384.28%42544461855.09%2437448354.36%1026190953.75%2870195127359071558781
Séries éliminatoires
20221480000077601712930000043301310550000034304287713521201302023478725824525232705222225434891617.98%1051684.76%245486252.67%43983352.70%19735655.34%543371530168291147
21114700000434216330000024204514000001922-384377120001323705111611841642511136124178471021.28%46882.61%128151954.14%27952153.55%10819256.25%2641792568414673
22201640000073452811920000040202097200000332583273135208041925281746245247243117021761893521022827.45%74987.84%044283153.19%39383946.84%14130546.23%470317483158265131
Total Séries éliminatoires53341900000193147462921800000107703724131100000867796819334754005626858520446646766594519185345389642385422.69%2253385.33%31177221253.21%1111219350.66%44685352.29%12788681271411703352

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