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Charlotte Checkers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: | Morale : 1 | Moyenne d’équipe : 57
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur général
DivisionWest Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,650


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 65
Espoirs39


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
1Sven Baertschi0X100.00503595825867705750455057557366062570312775,000$
2Darren Kramer0X100.00585558627974665550555557557366071570321775,000$
3Sergey Tolchinski0X100.00597361675565635660555357505555073550282775,000$
4Todd Burgess0XX100.00513575715865685549555453516048069550271775,000$
5Justin Shugg0X100.00586760655166645971605556504444040550321775,000$
6Brendan Warren (R)0XX100.00584069626264645840545454585350069540263775,000$
7Patrick Maroon0X100.005435757265667051535148555560480695403511,400,000$
8Joe Wegwerth0X100.00583575795870704650455550556048069540272775,000$
9Miguel Fidler0X100.00513575785870704752515546496048066540272775,000$
10Mason Primeau (R)0X100.00655467587159565652525254565050069530222825,000$
11Steve Downie0XX100.00573575715266695146505252466048069530362775,000$
12Brian Gibbons0XXX100.006435757063656646514950455460480485203511,100,000$
13Manuel Wiederer (R)0X100.00563575745966704755464648536048045520271775,000$
14Kole Sherwood (R)0XX100.00535253525858555340515150525350032500261900,000$
15Travis Dermott0X100.006043787482837568406262696874640676602711,500,000$
16Scott Harrington0X100.00634480697780796740626266667666066650302775,000$
17Thomas Hickey0X100.00503595825567706740405075408374064640343775,000$
18Paul LaDue0X100.00584867636570696040545162586454067580313775,000$
19Brady Keeper0X100.00604464636363625940545462595450070570271900,000$
20Matthew Spencer (R)0X100.00643575686058654654515157407358069560262775,000$
21Duncan Siemens0X100.00553575725652655254555151407358069550303775,000$
22Keegan Kanzig0X100.00513575725952635250485057407358069550282775,000$
23Austin Strand (R)0X100.00575262586966656040525255575450069550261775,000$
24Hunter Drew (R)0X100.00566350636464646141555453595250077550252793,333$
25Malte Setkov (R)0X100.00504080706070705040505050405050069540241775,000$
Rayé
MOYENNE D’ÉQUIPE100.0057447269626667554852535652625406456
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
1Tyler Parsons (R)0100.0075757584886973677167486772066720262775,000$
2Karri Ramo0100.0075757587846670697369506767080710373775,000$
Rayé
1Michael Hutchinson0100.0071757378727166687272737972020700334775,000$
2Eamon McAdam0100.0060675151525250506262506264020550291900,000$
MOYENNE D’ÉQUIPE100.007073697574656564706855696904767
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 Type Salaire actuel Plafond 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
Austin StrandCharlotte Checkers (FLA)D262/17/1997Yes216 Lbs6 ft3NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Brady KeeperCharlotte Checkers (FLA)D276/5/1996No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Brendan WarrenCharlotte Checkers (FLA)C/LW265/7/1997Yes192 Lbs6 ft0NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Brian GibbonsCharlotte Checkers (FLA)C/LW/RW352/26/1988No175 Lbs5 ft8NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Darren KramerCharlotte Checkers (FLA)LW3211/19/1991No210 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Duncan SiemensCharlotte Checkers (FLA)D309/7/1993No210 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Eamon McAdamCharlotte Checkers (FLA)G299/23/1994No199 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Hunter DrewCharlotte Checkers (FLA)D2510/21/1998Yes192 Lbs6 ft2NoNoN/ANoNo2Pro & Farm793,333$0$0$No793,333$--------No--------
Joe WegwerthCharlotte Checkers (FLA)RW276/16/1996No230 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Justin ShuggCharlotte Checkers (FLA)LW3212/24/1991No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Karri RamoCharlotte Checkers (FLA)G377/1/1986No206 Lbs6 ft2NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Keegan KanzigCharlotte Checkers (FLA)D282/26/1995No243 Lbs5 ft6NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Kole SherwoodCharlotte Checkers (FLA)C/RW261/22/1997Yes212 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Malte SetkovCharlotte Checkers (FLA)D241/14/1999Yes205 Lbs6 ft7NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Manuel WiedererCharlotte Checkers (FLA)C2711/21/1996Yes174 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Mason PrimeauCharlotte Checkers (FLA)C227/28/2001Yes205 Lbs6 ft5NoNoN/ANoNo2Pro & Farm825,000$0$0$No825,000$--------No--------
Matthew SpencerCharlotte Checkers (FLA)D263/24/1997Yes203 Lbs5 ft6NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Michael HutchinsonCharlotte Checkers (FLA)G333/2/1990No201 Lbs6 ft3NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Lien NHL
Miguel FidlerCharlotte Checkers (FLA)C272/20/1996No191 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Patrick MaroonCharlotte Checkers (FLA)LW354/22/1988No225 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,400,000$0$0$No------------------Lien
Paul LaDueCharlotte Checkers (FLA)D319/6/1992No201 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Scott HarringtonCharlotte Checkers (FLA)D303/10/1993No204 Lbs6 ft2NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Sergey TolchinskiCharlotte Checkers (FLA)LW282/3/1995 10:04:47 AMNo170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Steve DownieCharlotte Checkers (FLA)LW/RW364/3/1987No191 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Sven BaertschiCharlotte Checkers (FLA)LW3110/5/1992No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Thomas HickeyCharlotte Checkers (FLA)D342/8/1989No185 Lbs6 ft0NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Todd BurgessCharlotte Checkers (FLA)C/RW274/3/1996No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Travis DermottCharlotte Checkers (FLA)D2712/22/1996No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien NHL
Tyler ParsonsCharlotte Checkers (FLA)G269/18/1997Yes185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2929.10200 Lbs6 ft11.83848,046$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Miguel FidlerBrendan WarrenJustin Shugg40122
2Sven BaertschiDarren KramerTodd Burgess30122
3Sergey TolchinskiPatrick MaroonJoe Wegwerth20122
4Darren KramerTodd BurgessSven Baertschi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottThomas Hickey40122
2Scott HarringtonPaul LaDue30122
3Brady KeeperHunter Drew20122
4Travis DermottMatthew Spencer10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergey TolchinskiDarren KramerJustin Shugg60122
2Sven BaertschiPatrick MaroonTodd Burgess40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottThomas Hickey60122
2Scott HarringtonPaul LaDue40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sergey TolchinskiSven Baertschi60122
2Todd BurgessDarren Kramer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottThomas Hickey60122
2Scott HarringtonPaul LaDue40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sergey Tolchinski60122Travis DermottThomas Hickey60122
2Sven Baertschi40122Scott HarringtonPaul LaDue40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Todd BurgessSven Baertschi60122
2Sergey TolchinskiPatrick Maroon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottThomas Hickey60122
2Scott HarringtonPaul LaDue40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sven BaertschiDarren KramerTodd BurgessTravis DermottThomas Hickey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sven BaertschiDarren KramerTodd BurgessTravis DermottThomas Hickey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sven Baertschi, Patrick Maroon, Sergey TolchinskiSven Baertschi, Patrick MaroonSergey Tolchinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Dermott, Duncan Siemens, Keegan KanzigTravis DermottDuncan Siemens, Keegan Kanzig
Tirs de pénalité
Sergey Tolchinski, Sven Baertschi, Todd Burgess, Darren Kramer, Patrick Maroon
Gardien
#1 : Tyler Parsons, #2 : Karri Ramo
Lignes d’attaque personnalisées en prolongation
Miguel Fidler, Sven Baertschi, Mason Primeau, Justin Shugg, Darren Kramer, Sergey Tolchinski, Sergey Tolchinski, Todd Burgess, Brendan Warren, Joe Wegwerth, Patrick Maroon
Lignes de défense personnalisées en prolongation
Travis Dermott, Thomas Hickey, Scott Harrington, Paul LaDue, Keegan Kanzig


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,459,333$ 2,419,333$ 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 Checkers 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 Checkers 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 Checkers 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 Checkers 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 Checkers 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