Connexion

Checkers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Mikkel Aagaard | Morale : 50 | Moyenne d’équipe : 60
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMikkel Aagaard
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure15
Limite contact 38 / 100
Espoirs87


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Lane PedersonX100.0075708065707274698066696461585762756502811,172,000$
2John Beecher (R)X100.008769866881578167915967772553526479650241925,000$
3Milan LucicX100.0087708270825997493966585925919260746403711,348,000$
4Pontus HolmbergXX100.007342916663598664566567682559586374630261827,500$
5Aatu Raty (R)X100.007670926373808563806262625948486375630221902,500$
6Shane Wright (R)X100.007672917874687062805962646147466463630212918,333$
7Graeme Clarke (R)XX100.0070638770668084648059675862474763766302421,260,000$
8Martin PospisilX100.009978567671636364426964602554546546630251941,000$
9Zack Ostapchuk (R)X100.007677817679707454704559625846466074600222825,000$
10Josiah SlavinX100.0067618165617784536649535850444457205602621,065,000$
11Tyce ThompsonX100.0068667262667177515051465844444454205502621,007,000$
12Samuel LabergeX100.007276646876636751645048604644445520550281974,000$
13Olen ZellwegerX100.006541968265787275256454682550496026650212844,167$
14Brandon ScanlinX100.008280816281727851253947644448475174610261966,000$
15Adam WilsbyX100.007367906870758251253947584448475267590251842,500$
Rayé
1Vasily PodkolzinXX100.0099478882725762693763596125626259726402400$
2Luke HenmanX100.0069628466626872546847565953444458205602500$
3Brett Harrison (R)X100.0078709560705861506348486346444456205402200$
4Daylan Kuefler (R)X100.0066715364715253525047535750444454205302300$
5Topi Niemela (R)X100.0065608267626771542549455543474753645702300$
6Lian Bichsel (R)X100.0072834765855252512548415839464649475602100$
MOYENNE D’ÉQUIPE100.00766680697167745854545662435151585360
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jesper Wallstedt (R)100.005852658360625563605830464655786002211,350,000$
2Dylan Garand (R)100.00495063624950505450513044445130510231902,500$
Rayé
MOYENNE D’ÉQUIPE100.0054516473555653595555304545535456
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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aatu RatyCheckers (FLO)C222002-11-14FINYes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm902,500$902,500$0$0$No---------------------------Lien
Adam WilsbyCheckers (FLO)D252000-07-08SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$842,500$0$0$No---------------------------Lien
Brandon ScanlinCheckers (FLO)D261999-06-02ONTNo213 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm966,000$966,000$0$0$No---------------------------Lien
Brett HarrisonCheckers (FLO)C222003-07-07ONTYes188 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Daylan KueflerCheckers (FLO)LW232002-02-10ABYes192 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Dylan GarandCheckers (FLO)G232002-07-06BCYes173 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm902,500$902,500$0$0$No---------------------------Lien
Graeme ClarkeCheckers (FLO)C/RW242001-04-24USAYes174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,260,000$1,260,000$0$0$No1,260,000$--------1,260,000$--------No--------Lien
Jesper WallstedtCheckers (FLO)G222002-11-14SWEYes213 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$1,350,000$0$0$No---------------------------Lien
John BeecherCheckers (FLO)C242001-05-04USAYes209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien
Josiah SlavinCheckers (FLO)C261998-12-31USANo161 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$1,065,000$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Lane PedersonCheckers (FLO)C281997-08-04SKWNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$1,172,000$0$0$No---------------------------Lien / Lien NHL
Lian BichselCheckers (FLO)D212004-05-18SWIYes216 Lbs6 ft6NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Luke HenmanCheckers (FLO)C252000-04-29NSNo168 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Martin PospisilCheckers (FLO)RW251999-11-19SVKNo180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm941,000$941,000$0$0$No---------------------------Lien
Milan LucicCheckers (FLO)RW371988-06-07BCNo231 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,348,000$1,348,000$0$0$No---------------------------Lien / Lien NHL
Olen ZellwegerCheckers (FLO)D212003-09-10ABNo174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm844,167$844,167$0$0$No844,167$--------844,167$--------No--------
Pontus HolmbergCheckers (FLO)C/LW261999-09-03SWENo174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm827,500$827,500$0$0$No---------------------------Lien
Samuel LabergeCheckers (FLO)C281997-04-10QUENo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm974,000$974,000$0$0$No---------------------------Lien
Shane WrightCheckers (FLO)C212004-01-05ONTYes198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------
Topi NiemelaCheckers (FLO)D232002-03-25FINYes160 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Tyce ThompsonCheckers (FLO)RW261999-07-11ABNo178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Lien
Vasily PodkolzinCheckers (FLO)LW/RW242001-06-24RUSNo189 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Zack OstapchukCheckers (FLO)C222003-05-29ABYes202 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm825,000$825,000$0$0$No825,000$--------825,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.52189 Lbs6 ft11.00742,196$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus HolmbergMilan LucicLane Pederson40122
2John BeecherMartin Pospisil30122
3John BeecherLane Pederson20122
4Aatu RatyLane PedersonGraeme Clarke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerBrandon Scanlin40122
2Adam Wilsby30122
3Olen Zellweger20122
4Adam WilsbyBrandon Scanlin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John BeecherMilan LucicGraeme Clarke60122
2Aatu RatyLane Pederson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerBrandon Scanlin60122
2Adam Wilsby40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Aatu RatyLane Pederson60122
2John BeecherGraeme Clarke40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon ScanlinOlen Zellweger60122
2Adam Wilsby40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Beecher60122Brandon ScanlinAdam Wilsby60122
2Lane Pederson40122Olen Zellweger40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John BeecherLane Pederson60122
2Graeme ClarkeAatu Raty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyBrandon Scanlin60122
2Olen Zellweger40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lane PedersonMilan LucicJohn BeecherAdam WilsbyBrandon Scanlin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lane PedersonMilan LucicJohn BeecherAdam WilsbyBrandon Scanlin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
John Beecher, Graeme Clarke, Aatu RatyLane Pederson, John BeecherJohn Beecher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Scanlin, Olen Zellweger, Adam WilsbyBrandon ScanlinAdam Wilsby, Brandon Scanlin
Tirs de pénalité
Milan Lucic, Graeme Clarke, Aatu Raty, John Beecher, Lane Pederson
Gardien
#1 : Jesper Wallstedt, #2 : Dylan Garand


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
46 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,707,050$ 1,647,250$ 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$




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

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

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

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

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