Connexion

Charlotte Checkers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJean Jodoin
EntraîneurBruce Boudreau
DivisionEastern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance
Billets de saison4,000


Informations de la formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 75
Espoirs2


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
1Dalibor Dvorsky (R)X100.007442768076707085818176737459648899710192925,000$
2Frank Nazar (R)XX100.007130827872828280837375747338457799690201925,000$
3Sam Colangelo (R)XX100.0073337985807376817971767173364166996802221,100,000$
4Samu Salminen (R)XX100.007435757876757573817272697251536599670211925,000$
5Chaz Lucius (R)X100.006528767874707073836876727444517899670211925,000$
6Ben JonesX100.006029838176727769826767636861634999650251500,001$
7Matthew StromeX100.006834787881737566536366676866685999650251500,001$
8Leevi Aaltonen (R)XX100.006227777569666665546264626957555599610231500,000$
9Anton Johannesson (R)X100.007230767866797985567777687354586199700221925,000$
10Dmitri Simashev (R)X100.007844768478757560637167806639418899690192925,000$
11Mattias Havelid (R)X100.007033777871777768617073747255697299680201925,000$
12David FischerX100.007943757678707351544947745093992799670362600,000$
13Hugo Gabrielson (R)X100.006332787070676775527268636850635499640211650,000$
Rayé
1Danila Yurov (R)X100.007431797874828282627474717345467699690201925,000$
2Matthew Maggio (R)X100.006934787772777778527171647143666299660212500,000$
3Marek Alscher (R)X100.007633777277777759597069766961526999680203925,000$
MOYENNE D’ÉQUIPE100.00713478787474757266697070705358659967
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
1Kevin Lalande100.00737873768372728282747593912499660382750,000$
2Sergei Mursahov (R)100.00808679758687878585808339447099650201650,000$
Rayé
1Jesper Wallstedt (R)100.008082848787909090907982655781996902100$
MOYENNE D’ÉQUIPE100.0078827979858383868678806664589967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau76799693969679CAN684250,000$


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
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 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
Anton JohannessonCharlotte Checkers (FLO)D221992-06-23 04:21:47Yes157 Lbs5 ft10NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Ben JonesCharlotte Checkers (FLO)C251989-10-04 05:36:20No203 Lbs6 ft0NoNoN/ANoNo1Pro & Farm500,001$500,001$0$0$No------------------
Chaz LuciusCharlotte Checkers (FLO)C211993-08-20 05:00:35Yes181 Lbs6 ft3NoNoTrade2024-01-21NoNo1Pro & Farm925,000$925,000$0$0$No------------------
Dalibor DvorskyCharlotte Checkers (FLO)C191995-08-19 12:13:39Yes202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Danila YurovCharlotte Checkers (FLO)RW201994-09-01 05:11:47Yes186 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
David FischerCharlotte Checkers (FLO)D361978-09-19 10:13:25No208 Lbs6 ft4NoNoN/ANoNo2Pro & Farm600,000$600,000$0$0$No600,000$--------No--------
Dmitri SimashevCharlotte Checkers (FLO)D191995-08-19 12:14:43Yes206 Lbs6 ft5NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Frank NazarCharlotte Checkers (FLO)C/RW201994-09-01 05:13:39Yes189 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Hugo GabrielsonCharlotte Checkers (FLO)D211993-06-23 03:46:57Yes175 Lbs6 ft3NoNoN/ANoNo1Pro & Farm650,000$650,000$0$0$No------------------
Jesper WallstedtCharlotte Checkers (FLO)G211993-09-19 18:41:10Yes218 Lbs6 ft5NoNoN/ANoNo0Pro & Farm0$0$No------------------
Kevin LalandeCharlotte Checkers (FLO)G381976-10-20 10:01:29No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Leevi AaltonenCharlotte Checkers (FLO)LW/RW231991-06-23 04:13:57Yes178 Lbs5 ft9NoNoN/ANoNo1Pro & Farm500,000$500,000$0$0$No------------------
Marek AlscherCharlotte Checkers (FLO)D201994-07-08 03:36:22Yes198 Lbs6 ft3NoNoTrade (Prospect)NoNo32024-07-07Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Matthew MaggioCharlotte Checkers (FLO)RW211993-09-14 15:19:56Yes189 Lbs6 ft0NoNoTrade2024-07-07NoNo2Pro & Farm500,000$500,000$0$0$No500,000$--------No--------
Matthew StromeCharlotte Checkers (FLO)LW251989-10-04 05:51:19No218 Lbs6 ft5NoNoN/ANoNo1Pro & Farm500,001$500,001$0$0$No------------------
Mattias HavelidCharlotte Checkers (FLO)D201994-09-01 05:15:31Yes176 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Sam ColangeloCharlotte Checkers (FLO)C/RW221992-08-31 21:05:18Yes218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$--------No--------
Samu SalminenCharlotte Checkers (FLO)C/LW211993-06-23 03:54:05Yes197 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Sergei MursahovCharlotte Checkers (FLO)G201994-09-01 05:17:06Yes173 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$650,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1922.84192 Lbs6 ft21.37740,790$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
2Samu SalminenDalibor DvorskySam Colangelo30113
3Matthew StromeFrank NazarChaz Lucius20122
4Ben Jones20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton Johannesson30122
2David FischerMattias Havelid30122
3Anton JohannessonDmitri Simashev20122
4Hugo Gabrielson20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Frank NazarChaz Lucius50122
2Samu SalminenDalibor DvorskySam Colangelo50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohannessonDmitri Simashev50122
2David FischerMattias Havelid50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloSamu Salminen50122
2Frank Nazar50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton Johannesson50122
2Dmitri SimashevMattias Havelid50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Colangelo50122Dmitri Simashev50122
2Chaz Lucius50122Hugo GabrielsonMattias Havelid50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloFrank Nazar50122
2Samu Salminen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohannessonDmitri Simashev50122
2Mattias Havelid50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenSam ColangeloAnton JohannessonMattias Havelid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenSam ColangeloMattias Havelid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ben Jones, Matthew StromeSamu Salminen, Leevi AaltonenMatthew Strome
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Simashev, , Mattias HavelidMattias Havelid, Mattias Havelid
Tirs de pénalité
Samu Salminen, , Chaz Lucius, Sam Colangelo, Frank Nazar
Gardien
#1 : , #2 : Kevin Lalande, #3 : Sergei Mursahov
Lignes d’attaque personnalisées en prolongation
, , Dalibor Dvorsky, Chaz Lucius, , Sam Colangelo, Sam Colangelo, Frank Nazar, , Matthew Strome, Samu Salminen
Lignes de défense personnalisées en prolongation
Hugo Gabrielson, , Anton Johannesson, Mattias Havelid, Dmitri Simashev


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
Capacité50005000
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$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,815,000$ 2,815,000$ 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 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