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Connexion

Charlotte
GP: 71 | W: 50 | L: 14 | OTL: 7 | P: 107
GF: 275 | GA: 191 | PP%: 19.93% | PK%: 83.99%
DG: Tommy Morel | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #889 vs Wilkes-Barre/Scranton

Centre de jeu
Bakersfield
28-37-7, 63pts
2
4 Charlotte
50-14-7, 107pts
Team Stats
L3SéquenceL1
12-19-4Fiche domicile28-4-3
16-18-3Fiche domicile22-10-4
3-5-2Derniers 10 matchs6-4-0
2.90Buts par match 3.87
3.31Buts contre par match 2.69
17.41%Pourcentage en avantage numérique19.93%
83.19%Pourcentage en désavantage numérique83.99%
Charlotte
50-14-7, 107pts
1
2 Lehigh Valley
42-20-5, 89pts
Team Stats
L1SéquenceW3
28-4-3Fiche domicile23-9-4
22-10-4Fiche domicile19-11-1
6-4-0Derniers 10 matchs9-0-1
3.87Buts par match 3.58
2.69Buts contre par match 2.76
19.93%Pourcentage en avantage numérique20.07%
83.99%Pourcentage en désavantage numérique83.33%
Wilkes-Barre/Scranton
41-28-4, 86pts
Jour 164
Charlotte
50-14-7, 107pts
Statistiques d’équipe
L1SéquenceL1
20-14-1Fiche domicile28-4-3
21-14-3Fiche visiteur22-10-4
5-3-210 derniers matchs6-4-0
3.42Buts par match 3.87
3.07Buts contre par match 3.87
19.24%Pourcentage en avantage numérique19.93%
79.62%Pourcentage en désavantage numérique83.99%
Charlotte
50-14-7, 107pts
Jour 169
Syracuse
29-32-8, 66pts
Statistiques d’équipe
L1SéquenceL1
28-4-3Fiche domicile13-19-3
22-10-4Fiche visiteur16-13-5
6-4-010 derniers matchs4-5-1
3.87Buts par match 2.87
2.69Buts contre par match 2.87
19.93%Pourcentage en avantage numérique18.56%
83.99%Pourcentage en désavantage numérique81.25%
Providence
43-22-4, 90pts
Jour 170
Charlotte
50-14-7, 107pts
Statistiques d’équipe
W2SéquenceL1
27-7-2Fiche domicile28-4-3
16-15-2Fiche visiteur22-10-4
8-2-010 derniers matchs6-4-0
3.55Buts par match 3.87
2.96Buts contre par match 3.87
17.42%Pourcentage en avantage numérique19.93%
79.34%Pourcentage en désavantage numérique83.99%
Meneurs d'équipe
Buts
Juraj Slafkovsky
39
Passes
Josh Mahura
55
Points
Juraj Slafkovsky
83
Plus/Moins
Juraj Slafkovsky
40
Victoires
Mike Condon
38
Pourcentage d’arrêts
Alex Stalock
0.931

Statistiques d’équipe
Buts pour
275
3.87 GFG
Tirs pour
2755
38.80 Avg
Pourcentage en avantage numérique
19.9%
60 GF
Début de zone offensive
42.1%
Buts contre
191
2.69 GAA
Tirs contre
2419
34.07 Avg
Pourcentage en désavantage numérique
84.0%%
49 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
Assistance2,170
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 50
Espoirs65


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
1Brandon PirriXXX100.006731916671778673817366578469593250003311,500,000$
2Yanni GourdeXXX100.008550848375828472867671697778783650003221,350,000$
3Juraj SlafkovskyXX100.00943880829490998073788065803330885000202900,000$
4Reilly SmithXX100.007031927369819572637172648563553550003311,750,000$
5Kevin RooneyX100.00704092677872896673627167776458275000311500,000$
6Radim ZohornaXXX100.00703092699171996470616970776157475000282875,000$
7Kyle TurrisXXX100.006829936566758775627371648079672150003411,720,000$
8Sean KuralyXX100.00692297699275936593656774786765295000312850,000$
9Ryan SpoonerXX98.007339957879829375747077608773764650003221,350,000$
10Jordan StaalX100.00753085547871856967677371739985185000351500,000$
11Jason ZuckerXX100.008035827681829076707777637578783850003221,800,000$
12Jake Neighbours (R)XX98.00905585748479977470767864993939825000223800,000$
13Andy GreeneX100.00572994366767995350494796709999550004111,400,000$
14Niklaus PerbixX100.00762794728485995772604995775354695000262950,000$
15Artem ZubX100.00823269728687865271515494785756555000281950,000$
16Nikolai KnyzhovX100.00692795729083994370434390765450555000264800,000$
17Josh MahuraX99.007629759082849960546058948151515950002621,100,000$
18Philip Broberg (R)X99.00733096868584936450606092704343805000232900,000$
Rayé
1Taylor BeckXX100.00683296628772946974667069725760315000331500,000$
2Victor RaskXX100.00692898778690996876656959806262515000311500,000$
3Michael AmadioXXX100.00653595808885897388717362805250475000282500,000$
4Mike ReillyX100.00773075728384814850464486745958395000302725,000$
MOYENNE D’ÉQUIPE99.7374338972828093667065657479636045500
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
1Alex Stalock100.0063847777728487888877759392255000361500,000$
2Mike Condon96.00658381787789908788807080803750003421,000,000$
Rayé
MOYENNE D’ÉQUIPE98.006484797875878988887973878631500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette92888585999955USA6123,500,000$


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
1Juraj SlafkovskyCharlotte (FLO)LW/RW71394483405601778532210028112.11%9150121.144172160264000016152.80%12500231.11150001029
2Josh MahuraCharlotte (FLO)D711955742591513893207731499.18%125168923.80819271142620001220410%000100.8800000732
3Ryan SpoonerCharlotte (FLO)C/LW7127457236140291172467217210.98%7147220.746101653257000003249.58%212000010.9801000237
4Philip BrobergCharlotte (FLO)D71214869213005091216631749.72%113170223.981418321212620001241700%000100.8100000153
5Yanni GourdeCharlotte (FLO)C/LW/RW71155267175115103148239621876.28%5137219.3431720642240001391057.09%193900000.9825111034
6Niklaus PerbixCharlotte (FLO)D7113506331220418613253999.85%144165323.2841014672210330253110%000000.7600000272
7Jason ZuckerCharlotte (FLO)LW/RW713028581760098632436916112.35%4129318.224711622190000136050.44%11300000.9015000223
8Jake NeighboursCharlotte (FLO)LW/RW71212849301053512841244651888.61%5144820.40551058255000006038.66%11900000.6813133460
9Artem ZubCharlotte (FLO)D7116324828112014964155628710.32%113160322.5810515772210110205310%000000.6000000225
10Jordan StaalCharlotte (FLO)C711517321736107110286268417.44%892012.960001711262390449.53%127400000.7000100052
11Kyle TurrisCharlotte (FLO)C/LW/RW681513281414015451473611610.20%5110416.240221990000002147.25%9100000.5100000321
12Reilly SmithCharlotte (FLO)LW/RW7110172715953754139391267.19%994013.240000210162551247.42%9700000.5711100110
13Andy GreeneCharlotte (FLO)D63322251816024374719346.38%5981512.9410114000014000%000000.6100000001
14Radim ZohornaCharlotte (FLO)C/LW/RW71910191112034219229779.78%984811.9514519127213102482140.22%9200000.4500000120
15Nikolai KnyzhovCharlotte (FLO)D71612182060076445892610.34%8399313.9900003000095100%000000.3600000302
16Brandon PirriCharlotte (FLO)C/LW/RW71781584018277822518.97%05097.1700000000004134.21%3800000.5900000000
17Kevin RooneyCharlotte (FLO)C7136949538494715416.38%75768.1100021301172300049.68%78100000.3100010001
18Sean KuralyCharlotte (FLO)C/LW3835820049328199.38%11774.6800000000000070.59%1700000.9000000001
19Victor RaskCharlotte (FLO)C/LW33022-22085162140%11183.6000000000000066.67%1800000.3400000000
20Mike ReillyCharlotte (FLO)D801121201627150%810212.830000000001000%000000.1900000000
21Taylor BeckCharlotte (FLO)LW/RW1000100002010%01212.60000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne12762724957673557157512541183275582520929.87%7152085616.356011417471824374711322063471551.43%682500440.74620454384343
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)56381350.9202.6733676215018650210.769135615755
2Alex StalockCharlotte (FLO)1612120.9312.4593220385530000.66761556301
Statistiques d’équipe totales ou en moyenne72501470.9222.6243008218824180211971711056


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alex StalockCharlotte (FLO)G361987-07-28USANo200 Lbs6 ft0NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Andy GreeneCharlotte (FLO)D411982-10-30USANo190 Lbs5 ft11NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm1,400,000$236,923$0$0$No---------------------------Lien
Artem ZubCharlotte (FLO)D281995-10-03RUSNo203 Lbs6 ft2NoNoN/ANoNo12024-09-15FalseFalsePro & Farm950,000$160,769$0$0$No---------------------------Lien / Lien NHL
Brandon PirriCharlotte (FLO)C/LW/RW331991-04-10CANNo193 Lbs6 ft0NoNoFree AgentNoNo12025-09-23FalseFalsePro & Farm1,500,000$253,846$0$0$No---------------------------Lien
Jake NeighboursCharlotte (FLO)LW/RW222002-03-29CANYes201 Lbs6 ft0NoNoProspectNoNo32025-11-01FalseFalsePro & Farm800,000$135,385$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Jason ZuckerCharlotte (FLO)LW/RW321992-01-16USANo192 Lbs5 ft11NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm1,800,000$304,615$0$0$No1,800,000$--------1,800,000$--------No--------Lien / Lien NHL
Jordan StaalCharlotte (FLO)C351988-09-10CANNo240 Lbs6 ft4NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien NHL
Josh MahuraCharlotte (FLO)D261998-05-05CANNo185 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,100,000$186,154$0$0$No1,100,000$--------1,100,000$--------No--------
Juraj SlafkovskyCharlotte (FLO)LW/RW202004-03-30SVKNo230 Lbs6 ft3NoNoTrade2024-12-18NoNo2FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------
Kevin RooneyCharlotte (FLO)C311993-05-21USANo191 Lbs6 ft2NoNoFree Agent2025-01-14NoNo12025-09-30FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien / Lien NHL
Kyle TurrisCharlotte (FLO)C/LW/RW341989-08-14CANNo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-25FalseFalsePro & Farm1,720,000$291,077$0$0$No---------------------------Lien
Michael Amadio (contrat à 1 volet)Charlotte (FLO)C/LW/RW281996-05-13CANNo207 Lbs6 ft1NoNoFree AgentYesYes22025-09-08FalseFalsePro & Farm500,000$95,000$5,000$950$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mike CondonCharlotte (FLO)G341990-04-27USANo199 Lbs6 ft2NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm1,000,000$169,231$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Mike ReillyCharlotte (FLO)D301993-07-13USANo199 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm725,000$122,692$0$0$No725,000$--------725,000$--------No--------Lien / Lien NHL
Niklaus PerbixCharlotte (FLO)D261998-06-15USANo202 Lbs6 ft3NoNoProspectNoNo22025-09-08FalseFalsePro & Farm950,000$160,769$0$0$No950,000$--------950,000$--------No--------
Nikolai KnyzhovCharlotte (FLO)D261998-03-20NANo222 Lbs6 ft3NoNoProspectNoNo42025-09-08FalseFalsePro & Farm800,000$135,385$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Philip BrobergCharlotte (FLO)D232001-06-25SWEYes199 Lbs6 ft3NoNoProspectNoNo22025-10-16FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------
Radim ZohornaCharlotte (FLO)C/LW/RW281996-04-29CZENo220 Lbs6 ft6NoNoProspectNoNo22025-09-08FalseFalsePro & Farm875,000$148,077$0$0$No875,000$--------875,000$--------No--------Lien NHL
Reilly SmithCharlotte (FLO)LW/RW331991-04-01CANNo197 Lbs6 ft0NoNoTrade2025-03-13NoNo12024-09-28FalseFalsePro & Farm1,750,000$296,154$0$0$No---------------------------Lien / Lien NHL
Ryan SpoonerCharlotte (FLO)C/LW321992-01-30CANNo189 Lbs5 ft10NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm1,350,000$228,462$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Sean Kuraly (contrat à 1 volet)Charlotte (FLO)C/LW311993-01-20USANo214 Lbs6 ft2NoNoN/AYesYes2FalseFalsePro & Farm850,000$161,500$8,500$1,615$No850,000$--------850,000$--------No--------Lien / Lien NHL
Taylor BeckCharlotte (FLO)LW/RW331991-05-13CANNo210 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Victor RaskCharlotte (FLO)C/LW311993-03-01SWENo208 Lbs6 ft2NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Yanni GourdeCharlotte (FLO)C/LW/RW321991-12-15CANNo174 Lbs5 ft9NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm1,350,000$228,462$0$0$No1,350,000$--------1,350,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2430.21202 Lbs6 ft11.71988,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake NeighboursRyan SpoonerJuraj Slafkovsky40005
2Jason ZuckerYanni GourdeKyle Turris35005
3Radim ZohornaJordan StaalReilly Smith20005
4Sean KuralyKevin RooneyBrandon Pirri5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraPhilip Broberg38023
2Niklaus PerbixArtem Zub37023
3Andy GreeneNikolai Knyzhov25122
4Josh MahuraPhilip Broberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake NeighboursRyan SpoonerJuraj Slafkovsky60005
2Jason ZuckerYanni GourdeRadim Zohorna40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraPhilip Broberg60005
2Niklaus PerbixArtem Zub40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan StaalRadim Zohorna50140
2Kevin RooneyReilly Smith50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraPhilip Broberg50140
2Niklaus PerbixArtem Zub50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Staal50140Josh MahuraPhilip Broberg50140
2Yanni Gourde50140Niklaus PerbixArtem Zub50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Yanni GourdeJuraj Slafkovsky50005
2Ryan SpoonerJake Neighbours50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraPhilip Broberg50005
2Niklaus PerbixArtem Zub50005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake NeighboursRyan SpoonerJuraj SlafkovskyJosh MahuraPhilip Broberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake NeighboursYanni GourdeJuraj SlafkovskyJosh MahuraPhilip Broberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Rooney, Jordan Staal, Reilly SmithKevin Rooney, Jordan StaalReilly Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andy Greene, Nikolai Knyzhov, Niklaus PerbixAndy GreeneNikolai Knyzhov, Niklaus Perbix
Tirs de pénalité
Jason Zucker, Yanni Gourde, Juraj Slafkovsky, Jake Neighbours, Ryan Spooner
Gardien
#1 : Mike Condon, #2 : Alex Stalock
Lignes d’attaque personnalisées en prolongation
Juraj Slafkovsky, Yanni Gourde, Ryan Spooner, Jake Neighbours, Jason Zucker, Reilly Smith, Brandon Pirri, Jordan Staal, Radim Zohorna,
Lignes de défense personnalisées en prolongation
Josh Mahura, Philip Broberg, Niklaus Perbix, Artem Zub, Nikolai Knyzhov


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
1Abbotsford11000000523110000005230000000000021.00059140010276919449408928845937815217114.29%5180.00%01483284052.22%1410272551.74%617118252.20%172411721638541941477
2Bakersfield431000001812611000000422321000001410460.75018325000102769191519408928845912930287325312.00%13284.62%01483284052.22%1410272551.74%617118252.20%172411721638541941477
3Bridgeport33000000161061100000064222000000106461.0001629450010276919110940892884591244436629222.22%16287.50%01483284052.22%1410272551.74%617118252.20%172411721638541941477
4Cleveland330000001156110000005142200000064261.00011203100102769191019408928845910944465216212.50%17288.24%01483284052.22%1410272551.74%617118252.20%172411721638541941477
5Coachella Valley3300000014682200000011471100000032161.0001425390010276919103940892884599631484313323.08%13284.62%01483284052.22%1410272551.74%617118252.20%172411721638541941477
6Eagles31100100710-32010010048-41100000032130.5007111800102769191269408928845910235304514214.29%15380.00%01483284052.22%1410272551.74%617118252.20%172411721638541941477
7Grand Rapids42100100161242110000065121000100107350.62516294500102769191569408928845915036526018633.33%21480.95%01483284052.22%1410272551.74%617118252.20%172411721638541941477
8Hartford4210010012111210001007612110000055050.62512223400102769191329408928845913038568011218.18%23482.61%01483284052.22%1410272551.74%617118252.20%172411721638541941477
9Hershey21100000532211000005320000000000020.500510150110276919939408928845939166401200.00%30100.00%01483284052.22%1410272551.74%617118252.20%172411721638541941477
10Iowa211000001082110000007341010000035-220.50010192910102769199594089288459631919246116.67%7357.14%01483284052.22%1410272551.74%617118252.20%172411721638541941477
11Laval420000201596220000008442000002075281.0001523380010276919177940892884591424143751417.14%19384.21%11483284052.22%1410272551.74%617118252.20%172411721638541941477
12Lehigh Valley41201000121201100000042230201000810-240.50012233500102769191589408928845915437476718316.67%18477.78%11483284052.22%1410272551.74%617118252.20%172411721638541941477
13Manitoba211000001183110000007341010000045-120.50011193000102769196794089288459681917393133.33%60100.00%01483284052.22%1410272551.74%617118252.20%172411721638541941477
14Ontario21000100981110000005321000010045-130.7509172600102769197794089288459772212469111.11%60100.00%01483284052.22%1410272551.74%617118252.20%172411721638541941477
15Providence31100100121201000010034-12110000098130.50012233500102769191219408928845912121185315426.67%9455.56%01483284052.22%1410272551.74%617118252.20%172411721638541941477
16Rochester54000001191093300000013582100000165190.90019355401102769191879408928845914441419722522.73%19194.74%11483284052.22%1410272551.74%617118252.20%172411721638541941477
17Rockford22000000835110000003121100000052341.0008162400102769196594089288459732826249333.33%13192.31%01483284052.22%1410272551.74%617118252.20%172411721638541941477
18San Diego30201000612-61010000025-32010100047-320.333610160010276919104940892884591243726556233.33%12283.33%01483284052.22%1410272551.74%617118252.20%172411721638541941477
19San Jose220000001165110000006331100000053241.00011193000102769199294089288459692516351119.09%8187.50%01483284052.22%1410272551.74%617118252.20%172411721638541941477
20Springfield32100000871220000006331010000024-240.667814220010276919117940892884599322266218316.67%120100.00%11483284052.22%1410272551.74%617118252.20%172411721638541941477
21Syracuse2100001011652100001011650000000000041.00011193000102769197094089288459693632358450.00%16381.25%01483284052.22%1410272551.74%617118252.20%172411721638541941477
22Texas21000001642110000004131000000123-130.7506111700102769198994089288459641514481218.33%7185.71%01483284052.22%1410272551.74%617118252.20%172411721638541941477
23Utica 440000002371622000000143112200000094581.00023406300102769191849408928845910631245313646.15%10370.00%01483284052.22%1410272551.74%617118252.20%172411721638541941477
24Wilkes-Barre/Scranton421010001082100010002113210000087160.75010203000102769191369408928845913639456512325.00%18383.33%01483284052.22%1410272551.74%617118252.20%172411721638541941477
Total71441403532275191843526401310148826636181002222127109181070.7542754957701210276919275594089288459241971572312543016019.93%3064983.99%41483284052.22%1410272551.74%617118252.20%172411721638541941477
_Since Last GM Reset71441403532275191843526401310148826636181002222127109181070.7542754957701210276919275594089288459241971572312543016019.93%3064983.99%41483284052.22%1410272551.74%617118252.20%172411721638541941477
_Vs Conference42267023311621055720142012108444402212501121786117660.786162293455021027691916259408928845914244244467391683822.62%1893382.54%31483284052.22%1410272551.74%617118252.20%172411721638541941477
_Vs Division18102002317349241071001104124178310012132257290.80673129202011027691971194089288459626175186320772025.97%841582.14%21483284052.22%1410272551.74%617118252.20%172411721638541941477

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
71107L127549577027552419715723125412
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7144143532275191
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
35264131014882
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3618102222127109
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
3016019.93%3064983.99%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
9408928845910276919
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
1483284052.22%1410272551.74%617118252.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
172411721638541941477


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
14Hartford3Charlotte2LXSommaire du match
626Cleveland1Charlotte5WSommaire du match
938Charlotte2Wilkes-Barre/Scranton3LSommaire du match
1040Charlotte5Lehigh Valley4WXSommaire du match
1460Rochester0Charlotte3WSommaire du match
1774Charlotte7Bakersfield5WSommaire du match
1984Eagles5Charlotte2LSommaire du match
22101Charlotte3Rochester4LXXSommaire du match
24109Springfield1Charlotte2WSommaire du match
26121Charlotte3Cleveland2WSommaire du match
28130Charlotte6Grand Rapids2WSommaire du match
30139Charlotte2Wilkes-Barre/Scranton1WSommaire du match
31147Laval3Charlotte4WSommaire du match
34162Grand Rapids1Charlotte3WSommaire du match
36172Charlotte5Bridgeport3WSommaire du match
38189Rochester3Charlotte7WSommaire du match
40195Charlotte0San Diego4LSommaire du match
42210Charlotte3Cleveland2WSommaire du match
43218Charlotte4San Diego3WXSommaire du match
46225Coachella Valley2Charlotte6WSommaire du match
50245Coachella Valley2Charlotte5WSommaire du match
52260Charlotte3Iowa5LSommaire du match
55268Grand Rapids4Charlotte3LSommaire du match
57286Charlotte4Ontario5LXSommaire du match
59291Charlotte2Texas3LXXSommaire du match
61299Abbotsford2Charlotte5WSommaire du match
63315Charlotte4Manitoba5LSommaire du match
65323Ontario3Charlotte5WSommaire du match
68338Charlotte4Laval3WXXSommaire du match
70348Bridgeport4Charlotte6WSommaire du match
73368Eagles3Charlotte2LXSommaire du match
75381Charlotte4Wilkes-Barre/Scranton3WSommaire du match
76387Charlotte3Eagles2WSommaire du match
78399Hartford3Charlotte5WSommaire du match
81416Hershey0Charlotte3WSommaire du match
83430Charlotte5Utica 1WSommaire du match
85443Syracuse3Charlotte7WSommaire du match
87457Charlotte5Providence3WSommaire du match
89465Charlotte5Rockford2WSommaire du match
91474Utica 1Charlotte6WSommaire du match
93484Charlotte4Grand Rapids5LXSommaire du match
96498Charlotte6Bakersfield3WSommaire du match
97501Laval1Charlotte4WSommaire du match
100521Charlotte1Bakersfield2LSommaire du match
101524Syracuse3Charlotte4WXXSommaire du match
104545San Diego5Charlotte2LSommaire du match
106554Charlotte3Rochester1WSommaire du match
108569Charlotte3Laval2WXXSommaire du match
109573San Jose3Charlotte6WSommaire du match
112592Charlotte5Bridgeport3WSommaire du match
113600Iowa3Charlotte7WSommaire du match
116618Charlotte2Hartford3LSommaire du match
117624Springfield2Charlotte4WSommaire du match
120639Charlotte5San Jose3WSommaire du match
122647Rochester2Charlotte3WSommaire du match
125667Charlotte3Hartford2WSommaire du match
126673Providence4Charlotte3LXSommaire du match
131696Utica 2Charlotte8WSommaire du match
133707Charlotte4Utica 3WSommaire du match
135719Rockford1Charlotte3WSommaire du match
137731Charlotte2Springfield4LSommaire du match
139745Lehigh Valley2Charlotte4WSommaire du match
141757Charlotte3Coachella Valley2WSommaire du match
142769Texas1Charlotte4WSommaire du match
148792Hershey3Charlotte2LSommaire du match
152815Wilkes-Barre/Scranton1Charlotte2WXSommaire du match
154827Charlotte4Providence5LSommaire du match
156839Manitoba3Charlotte7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158851Charlotte2Lehigh Valley4LSommaire du match
160863Bakersfield2Charlotte4WSommaire du match
162876Charlotte1Lehigh Valley2LSommaire du match
164889Wilkes-Barre/Scranton-Charlotte-
169910Charlotte-Syracuse-
170916Providence-Charlotte-
174934Charlotte-Syracuse-
175941Lehigh Valley-Charlotte-
177951Charlotte-Hershey-
180966Charlotte-Abbotsford-
182970Bridgeport-Charlotte-
188993Cleveland-Charlotte-
1891001Charlotte-Hershey-
1931019Cleveland-Charlotte-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance51,24824,711
Assistance PCT73.21%70.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2170 - 72.34% 127,429$4,460,030$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,751,273$ 2,237,000$ 2,237,000$ 3,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,472$ 1,843,232$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
764,577$ 33 29,421$ 970,893$




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