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Charlotte
GP: 11 | W: 4 | L: 7
GF: 43 | GA: 42 | PP%: 21.28% | PK%: 82.61%
DG: Tommy Morel | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Charlotte
4-7-0, 8pts
3
FINAL
5 Bridgeport
13-9-0, 26pts
Team Stats
L2SéquenceL1
3-3-0Fiche domicile7-3-0
1-4-0Fiche domicile6-6-0
3-5-2Derniers 10 matchs4-6-0
3.91Buts par match 3.55
3.82Buts contre par match 4.09
21.28%Pourcentage en avantage numérique21.82%
82.61%Pourcentage en désavantage numérique63.54%
Charlotte
4-7-0, 8pts
2
FINAL
3 Bridgeport
13-9-0, 26pts
Team Stats
L2SéquenceL1
3-3-0Fiche domicile7-3-0
1-4-0Fiche domicile6-6-0
3-5-2Derniers 10 matchs4-6-0
3.91Buts par match 3.55
3.82Buts contre par match 4.09
21.28%Pourcentage en avantage numérique21.82%
82.61%Pourcentage en désavantage numérique63.54%
Meneurs d'équipe
Buts
Joel Kiviranta
7
Passes
Artem Zub
9
Points
Joel Kiviranta
15
Plus/Moins
Joel Kiviranta
7
Victoires
Al Montoya
2
Pourcentage d’arrêts
Al Montoya
0.927

Statistiques d’équipe
Buts pour
43
3.91 GFG
Tirs pour
511
46.45 Avg
Pourcentage en avantage numérique
21.3%
10 GF
Début de zone offensive
42.1%
Buts contre
42
3.82 GAA
Tirs contre
511
46.45 Avg
Pourcentage en désavantage numérique
82.6%%
8 GA
Début de la zone défensive
42.3%
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
Assistance2,658
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs65


Historique d'équipe

Saison actuelle4-7
Historique110-43-13 (0.663%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)18-15
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 KesselXX100.005830917683769971707273698481812650003411,200,000$
2Nikita FilatovXX100.006930976973657877326874617876643150003221,510,000$
3Cody Glass (R)X100.00793093848882957786747570774343735000232900,000$
4Derick Brassard (C)XXX100.007134936778728474767175697982632750003411,400,000$
5Tanner PearsonX100.00783792748483876970697269796263385000293850,000$
6Alex ChiassonXX100.007129987092789472746673697862553750003111,220,000$
7Andrei KostitsynXX100.00623198477265886980666870778675215000381800,000$
8Brandon DubinskyXX100.00773466538378856390666770837375275000361500,000$
9Joel Kiviranta (A)XX100.007929848280788679747776647750465950002611,200,000$
10Patrik BerglundXXX100.006536946374708670666970687983802350003411,300,000$
11Brendan LemieuxXX100.00885251809082877474737665845046605000261850,000$
12Carl Grundstrom (R)XX100.00883094758474867370697569774646625000242700,000$
13Mike ReillyX100.00793078768287804850494486745757455000281750,000$
14Artem ZubX100.00873080728588844670474789755353645000261800,000$
15Klas DahlbeckX100.006540806887769457505652897464604450003021,200,000$
16Josh Mahura (R)X100.00832578878278995150524990754646655000242500,000$
17Jake MiddletonX100.008645717589849545705045937553534850002631,300,000$
Rayé
1Anders LeeX100.008332887393839270696773617671902950003121,300,000$
MOYENNE D’ÉQUIPE100.0076348572837889666865667378636143500
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 Montoya100.0062838679749086898973738382185000371500,000$
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/RW117815740131553155013.21%123021.001011537000001050.00%2200001.3000000121
2Cody GlassCharlotte (FLO)C11681471001231617379.84%322920.85022837000001059.29%39300001.2200000001
3Artem ZubCharlotte (FLO)D112911-1160197229229.09%1525022.742351239000032000%000000.8800000000
4Derick BrassardCharlotte (FLO)C/LW/RW113710-52072729123310.34%522820.7823510390002250054.09%37900000.8700000000
5Brendan LemieuxCharlotte (FLO)LW/RW11369-535530125116385.88%318717.081341438000000050.00%2400000.9600100000
6Carl GrundstromCharlotte (FLO)LW/RW1144842013155016488.00%120418.571011735000000073.08%2600000.7800000010
7Tanner PearsonCharlotte (FLO)LW11077-14053152120%914513.2000000000010000%300000.9600000000
8Josh MahuraCharlotte (FLO)D112572607112812287.14%2126924.530221437000036000%000000.5200000000
9Phil KesselCharlotte (FLO)LW/RW11336100574211307.14%020318.462021228000070030.43%2300000.5900000100
10Patrik BerglundCharlotte (FLO)C/LW/RW11426-35522139102110.26%514713.45000001012120050.00%18400000.8100001000
11Jake MiddletonCharlotte (FLO)D1124622002382515198.00%2125923.600221337011027100%000000.4600000001
12Alex ChiassonCharlotte (FLO)LW/RW11145-36064264183.85%215113.81000230001220058.33%1200000.6600000010
13Mike ReillyCharlotte (FLO)D11134-260141217595.88%2115414.070000000008000%000000.5200000000
14Klas DahlbeckCharlotte (FLO)D8134-400291511146.67%1918122.73123430000127000%000000.4400000000
15Nikita FilatovCharlotte (FLO)LW/RW11202-72076276307.41%114613.3500049000000117.65%1700000.2700000000
16Andrei KostitsynCharlotte (FLO)LW/RW11202-1000173428.57%0645.88000000000241050.00%600000.6200000000
17Brandon DubinskyCharlotte (FLO)C/LW1102204010121340%1756.90000000110350053.15%14300000.5300000000
18Sami NikuFlorideD2022100323140%74723.570112600008000%000000.8500000000
Statistiques d’équipe totales ou en moyenne1864377120-8122101782035111584218.41%135317917.1010182812738112362824154.22%123200000.7500101243
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)42110.9024.5024020181830000047100
2Al MontoyaCharlotte (FLO)72410.9273.3942500243280000074110
Statistiques d’équipe totales ou en moyenne114520.9183.79665204251100001111210


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 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 Non Activé 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 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
Al MontoyaCharlotte (FLO)G371985-02-13 17:37:02No209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Alex ChiassonCharlotte (FLO)LW/RW311990-10-01No211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,220,000$0$0$No------------------Lien
Anders Lee (contrat à 1 volet)Charlotte (FLO)LW311990-07-03 05:33:53No235 Lbs6 ft3NoNoN/AYesNo2FalseFalsePro & Farm1,300,000$13,000$0$No1,300,000$--------No--------Lien
Andrei KostitsynCharlotte (FLO)LW/RW381984-02-03No212 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Artem ZubCharlotte (FLO)D261995-10-03 05:13:05No203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien
Brandon DubinskyCharlotte (FLO)C/LW361986-04-29No221 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------Lien
Brendan LemieuxCharlotte (FLO)LW/RW261996-03-15No216 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------Lien
Carl GrundstromCharlotte (FLO)LW/RW241997-12-01 22:11:44Yes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------
Cody GlassCharlotte (FLO)C231999-04-01 01:10:08Yes206 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Derick BrassardCharlotte (FLO)C/LW/RW341987-09-22No200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$0$0$No------------------
Jake MiddletonCharlotte (FLO)D261996-01-02 05:56:33No219 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------NoNo-------
Joel KivirantaCharlotte (FLO)LW/RW261996-03-23No183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No------------------Lien
Josh MahuraCharlotte (FLO)D241998-05-05 03:34:15Yes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Klas DahlbeckCharlotte (FLO)D301991-07-06No213 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Mike CondonCharlotte (FLO)G321990-04-27 06:04:04No199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm875,000$0$0$No875,000$--------No--------Lien
Mike ReillyCharlotte (FLO)D281993-07-13 07:01:58No199 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nikita FilatovCharlotte (FLO)LW/RW321990-01-11No196 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm1,510,000$0$0$No1,510,000$--------No--------
Patrik BerglundCharlotte (FLO)C/LW/RW341988-06-02No201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No------------------Lien
Phil KesselCharlotte (FLO)LW/RW341987-10-02No208 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No------------------
Tanner Pearson (contrat à 1 volet)Charlotte (FLO)LW291992-08-10 07:32:29No201 Lbs6 ft1NoNoN/AYesNo3FalseFalsePro & Farm850,000$8,500$0$No850,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.05206 Lbs6 ft21.55982,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel KivirantaCody GlassPhil Kessel40122
2Brendan LemieuxDerick BrassardAlex Chiasson30122
3Nikita FilatovPatrik BerglundCarl Grundstrom25122
4Tanner PearsonBrandon DubinskyAndrei Kostitsyn5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake MiddletonJosh Mahura40122
2Klas DahlbeckArtem Zub40122
3Mike ReillyTanner Pearson20122
4Jake MiddletonJosh Mahura0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel KivirantaCody GlassPhil Kessel50005
2Brendan LemieuxDerick BrassardAlex Chiasson50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Klas DahlbeckJosh Mahura65005
2Jake MiddletonArtem Zub35005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brandon DubinskyTanner Pearson50140
2Derick BrassardAndrei Kostitsyn50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake MiddletonJosh Mahura50140
2Klas DahlbeckArtem Zub50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cody Glass50140Jake MiddletonJosh Mahura50140
2Brandon Dubinsky50140Klas DahlbeckArtem Zub50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassJoel Kiviranta50122
2Phil KesselBrendan Lemieux50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake MiddletonJosh Mahura50122
2Klas DahlbeckArtem Zub50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaCody GlassPhil KesselJake MiddletonJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaCody GlassPhil KesselJake MiddletonJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tanner Pearson, Carl Grundstrom, Patrik BerglundTanner Pearson, Carl GrundstromPatrik Berglund
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Reilly, Klas Dahlbeck, Artem ZubMike ReillyKlas Dahlbeck, Artem Zub
Tirs de pénalité
Joel Kiviranta, Cody Glass, Phil Kessel, Brendan Lemieux, Derick Brassard
Gardien
#1 : Al Montoya, #2 : Mike Condon
Lignes d’attaque personnalisées en prolongation
Joel Kiviranta, Cody Glass, Phil Kessel, Brendan Lemieux, Derick Brassard, Alex Chiasson, Alex Chiasson, Tanner Pearson, Carl Grundstrom, Nikita Filatov, Patrik Berglund
Lignes de défense personnalisées en prolongation
Jake Middleton, Josh Mahura, Klas Dahlbeck, Artem Zub, 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
1Bridgeport404000001116-52020000068-22020000058-300.00011213200132370130161184164216956535215320.00%19384.21%128151954.14%27952153.55%10819256.25%2641792568414673
2Wilkes-Barre/Scranton74300000322664310000018126312000001414080.571325688001323703811611841642342807112632721.88%27581.48%028151954.14%27952153.55%10819256.25%2641792568414673
Total114700000434216330000024204514000001922-380.3644377120001323705111611841642511136124178471021.28%46882.61%128151954.14%27952153.55%10819256.25%2641792568414673
_Since Last GM Reset114700000434216330000024204514000001922-380.3644377120001323705111611841642511136124178471021.28%46882.61%128151954.14%27952153.55%10819256.25%2641792568414673
_Vs Conference114700000434216330000024204514000001922-380.3644377120001323705111611841642511136124178471021.28%46882.61%128151954.14%27952153.55%10819256.25%2641792568414673
_Vs Division114700000434216330000024204514000001922-380.3644377120001323705111611841642511136124178471021.28%46882.61%128151954.14%27952153.55%10819256.25%2641792568414673

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
118L2437712051151113612417800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
114700004342
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002420
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51400001922
Derniers 10 matchs
WLOTWOTL SOWSOL
350200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
471021.28%46882.61%1
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
1611841642132370
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
28151954.14%27952153.55%10819256.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2641792568414673


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
13Wilkes-Barre/Scranton1Charlotte5WSommaire du match
311Wilkes-Barre/Scranton6Charlotte3LSommaire du match
519Charlotte4Wilkes-Barre/Scranton5LSommaire du match
727Charlotte6Wilkes-Barre/Scranton4WSommaire du match
935Wilkes-Barre/Scranton3Charlotte4WSommaire du match
1143Charlotte4Wilkes-Barre/Scranton5LXSommaire du match
1351Wilkes-Barre/Scranton2Charlotte6WSommaire du match
1558Bridgeport2Charlotte1LSommaire du match
1762Bridgeport6Charlotte5LXSommaire du match
1966Charlotte3Bridgeport5LSommaire du match
2170Charlotte2Bridgeport3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance10,6085,339
Assistance PCT88.40%88.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2658 - 88.59% 155,378$932,269$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,750,500$ 1,750,500$ 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
1Tyler Graovac162506811813731552385219.60%25292518.0682432116213157155.93%10.8103
2Jujhar Khaira125335891-101512862603768.78%30251820.15917269310174155.42%00.7247
3Garnet Hathaway16431558616161299933359.25%27205912.56910195013445153.74%10.8422
4Kale Clague159186179-101401811202467.32%274303019.06617231050223300%00.5200
5Samuel Girard81106777928701081735.78%123205525.3832225990000110%00.7501

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
2Corey Crawford51212420.9104.0527878018820980000.5006
3Nico Daws47192160.8983.1327386014314000220.77322
4Robin Lehner24101110.9124.03128080869770000.6673
5Curtis McElhinney113610.9113.9765000434840000.8577

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
Total Saison régulière1649443097747205241968251170444237324912482432605332347275722317201272199213271229204196912218423542307101642818631852292671616422.91%76812983.20%73921709455.27%3694689953.54%1524280054.43%395326723813126221641080
Séries éliminatoires
201055000002931-2431000001192624000001822-41029548300111170338901321160347741151854349.30%501080.00%020939253.32%19742146.79%7915550.97%2311562367813265
Total Séries éliminatoires33181500000120102181812600000675017156900000535213612021233201434330412984194294163412163583496121362619.12%1512484.11%3735138153.22%718135453.03%30554855.66%808551787252437220

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