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Condors
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Yan Dumais | Morale : 40 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralYan Dumais
DivisionDivision 3
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure21
Limite contact 42 / 250
Espoirs34


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
1Dillon DubeX100.006351907762765363645660685870630456902612,200,000$
2Benoit-Olivier GroulxX100.00855285687377566061525075506259043690243775,000$
3Josh LeivoX100.006558857371605565486253544884670456603111,500,000$
4Cody EakinX100.005752887366605555765050654287610456403322,000,000$
5Marat Khusnutdinov (R)X100.00605185636073325573625563445660045630222925,000$
6Justin DowlingX100.00515090615776305552507056418270045630341650,000$
7James HamblinX100.00525090635968475569545759476157045610254795,000$
8Joona LuotoX100.00615090737860555531505450306856045610271775,000$
9Nick SwaneyX100.00775090735760555532505050306252045600274750,000$
10Gage QuinneyX100.00444555736460555530505050305461045580291740,000$
11Brendan LeipsicX100.00444555736060555530505050305462045580301700,000$
12Jake LeschyshynX100.00455090636471305537505055306354045580254750,000$
13Matt IrwinX100.00757683717360555935515267489264045690373750,000$
14Billy SweezeyX100.00865863737160555530505069306357045680284750,000$
15Robert BortuzzoX100.006660686182744055405252723493620456803511,375,000$
16Logan StanleyX100.00728456639474385540545669356659045680261800,000$
17Dennis GilbertX100.00716782637672465540645566367262045680284750,000$
18Chris WidemanX100.00586259715760556635605062458365045660343750,000$
19Kurtis MacDermidX100.00739055638860525550555656497658045650304975,000$
Rayé
MOYENNE D’ÉQUIPE100.0063587768696648574654546140716004564
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
1Eetu Makiniemi100.0068306576636556665073505754045620251892,500$
2Adam Huska100.0066306588556250555052505653045580273750,000$
Rayé
MOYENNE D’ÉQUIPE100.006730658259645361506350575404560
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
Adam HuskaCondors (NJ )G271997-05-12CANNo214 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Benoit-Olivier GroulxCondors (NJ )C242000-02-06CANNo198 Lbs6 ft2NoNoN/ANoNo32024-09-02FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Billy SweezeyCondors (NJ )D281996-02-06CANNo206 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Brendan LeipsicCondors (NJ )C301994-05-19CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------
Chris WidemanCondors (NJ )D341990-01-07CANNo181 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Cody EakinCondors (NJ )C331991-05-24CANNo196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------
Dennis GilbertCondors (NJ )D281996-10-30CANNo216 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Dillon DubeCondors (NJ )C261998-07-20CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,200,000$2,200,000$0$0$No---------------------------
Eetu MakiniemiCondors (NJ )G251999-04-19CANNo184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm892,500$892,500$0$0$No---------------------------
Gage QuinneyCondors (NJ )LW291995-07-29CANNo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm740,000$740,000$0$0$No---------------------------
Jake LeschyshynCondors (NJ )C251999-03-10CANNo198 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
James HamblinCondors (NJ )C251999-04-27CANNo185 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm795,000$795,000$0$0$No795,000$795,000$795,000$------795,000$795,000$795,000$------NoNoNo------
Joona LuotoCondors (NJ )RW271997-09-26CANNo210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Josh LeivoCondors (NJ )RW311993-05-26CANNo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------
Justin DowlingCondors (NJ )C341990-10-01CANNo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------
Kurtis MacDermidCondors (NJ )D301994-03-25CANNo233 Lbs6 ft5NoNoN/ANoNo4FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$975,000$------975,000$975,000$975,000$------NoNoNo------
Logan StanleyCondors (NJ )D261998-05-26CANNo231 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------
Marat KhusnutdinovCondors (NJ )C222002-07-17CANYes176 Lbs5 ft11NoNoProspectNoNo22024-08-08FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------
Matt IrwinCondors (NJ )D371987-11-29CANNo200 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Nick SwaneyCondors (NJ )RW271997-09-09CANNo178 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Robert BortuzzoCondors (NJ )D351989-03-18CANNo216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,375,000$1,375,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.71198 Lbs6 ft12.33969,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cody Eakin34122
2Joona Luoto30122
3Gage QuinneyJake LeschyshynNick Swaney26122
4Brendan Leipsic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid34122
230122
3Brendan Leipsic26122
4Kurtis MacDermid10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cody Eakin51122
2Joona Luoto49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid51122
249122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
151122
2Cody Eakin49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid51122
249122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
151122Kurtis MacDermid51122
24912249122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
151122
2Cody Eakin49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid51122
249122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cody EakinKurtis MacDermid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cody EakinKurtis MacDermid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Dowling, James Hamblin, Justin Dowling, James Hamblin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Cody Eakin, , Joona Luoto
Gardien
#1 : Eetu Makiniemi, #2 :


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
0000000000000
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 billets350
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 0$ 0$ 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$




Condors 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

Condors 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

Condors 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

Condors 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

Condors 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