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Condors
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Stephane Dubuc | Morale : 50 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralStephane Dubuc
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro15
Équipe Mineure19
Limite contact 34 / 250
Espoirs65


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique237-293-40 (0.416%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)18-13
Coupe Stanley0


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
1Jonas RondbjergX100.00673888658078816456636261666465050640211900,000$
2Marco Rossi (R)X100.005738716866918667806562617362630506301941,744,167$
3Tanner LaczynskiX100.00693794617587665974605863616567050620231925,000$
4Gabriel BourqueX100.00633973587277955660585759577274050610301700,000$
5Rich CluneX100.00738459537263865258535452537580050580331650,000$
6Collin Adams (R)X100.00623693546967735552565753556466050580222800,000$
7Jack RathboneX100.006136846870847367306662635563650506402111,491,667$
8David Farrance (R)X100.005836946270837561306056634862650506102111,350,000$
9Cameron CrottyX100.00713986578173925630555458456365050600212925,000$
10Oskari LaaksonenX100.00633884607264915330645659456365050600212925,000$
11Filip Kral (R)X100.00653878577466865430605357466365050590202810,000$
12Seth Barton (R)X100.00683893567764615330585356456365050590212832,500$
13Jesper Sellgren (R)X100.00573681566670835530585456456466050580221875,000$
Rayé
MOYENNE D’ÉQUIPE100.0064418360737481584560575953656705061
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
1Calvin Pickard100.0074797880737274737274737184050640281800,000$
2Francois Brassard (R)100.0067656672666567666567667069050600261650,000$
Rayé
MOYENNE D’ÉQUIPE100.007172727670697170697170717705062
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial 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 10Link
Calvin PickardCondors (EDM)G281992-04-15No210 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Cameron CrottyCondors (EDM)D211999-05-05No182 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Collin AdamsCondors (EDM)LW221998-04-24Yes200 Lbs5 ft9NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien NHL
David FarranceCondors (EDM)D211999-06-23Yes189 Lbs5 ft11NoNoNo1Pro & Farm1,350,000$0$0$NoLien NHL
Filip KralCondors (EDM)D201999-10-20Yes185 Lbs6 ft1NoNoNo2Pro & Farm810,000$0$0$No810,000$Lien NHL
Francois BrassardCondors (EDM)G261994-01-31Yes172 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Gabriel BourqueCondors (EDM)LW301990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jack RathboneCondors (EDM)D211999-05-20No177 Lbs5 ft10NoNoNo1Pro & Farm1,491,667$0$0$NoLien / Lien NHL
Jesper SellgrenCondors (EDM)D221998-06-11Yes169 Lbs5 ft11NoNoNo1Pro & Farm875,000$0$0$NoLien NHL
Jonas RondbjergCondors (EDM)RW211999-03-31No197 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Marco RossiCondors (EDM)C192001-09-23Yes182 Lbs5 ft9NoNoNo4Pro & Farm1,744,167$0$0$No1,713,333$1,713,333$1,713,333$Lien NHL
Oskari LaaksonenCondors (EDM)D211999-07-02No172 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Rich CluneCondors (EDM)LW331987-04-25No207 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Seth BartonCondors (EDM)D211999-08-18Yes185 Lbs6 ft2NoNoNo2Pro & Farm832,500$0$0$No832,500$Lien NHL
Tanner LaczynskiCondors (EDM)C231997-06-01No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1523.27188 Lbs6 ft01.53958,556$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Jonas Rondbjerg30122
3Tanner Laczynski20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Rathbone40122
2Oskari Laaksonen30122
3Cameron Crotty20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Jonas Rondbjerg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Rathbone60122
2Oskari Laaksonen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Rathbone60122
2Oskari Laaksonen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jack Rathbone60122
240122Oskari Laaksonen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Rathbone60122
2Oskari Laaksonen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack Rathbone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack Rathbone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tanner Laczynski, , Tanner Laczynski,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Cameron Crotty, Cameron Crotty,
Tirs de pénalité
, , , , Tanner Laczynski
Gardien
#1 : Calvin Pickard, #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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,437,834$ 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$




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
Saison régulière
482392702210225620254411814002521251042141211302050131983310625646071628010777602864093399090824017151447192958112120.83%6099185.06%131918324159.18%1759293959.85%747125459.57%2124145718306301036533
582362404693244200444122903241130854541141501452114115-1107244421665290103666226160821810941251370449019452115325.12%1833481.42%31315261150.36%1135256944.18%566120147.13%217215951825538995516
6824025024653072278041191701220138126124121801245169101681053075448511901181027933590113111331031268474455121482346226.50%2354282.13%11937319760.59%1542279055.27%740132255.98%2253163517185481017543
782313900435262272-1041161700323130127341152200112132145-137726242869033011368783089097410791022323396632720652344920.94%1393376.26%11256289943.33%1273314540.48%548131841.58%198714311983553995494
88267101103230660-4304153401001132326-194411370010298334-23618230435665000987754285109289429556385177221819131191512.61%1014159.41%1670216730.92%983362027.15%499162930.63%10977272951564886348
98267102012194640-446412370001187325-2384143402001107315-20820194336530010696557235308067907425980173917016781402215.71%793456.96%0701212932.93%1063371028.65%489157830.99%11107442943571885339
1082313606423285334-4941171504311158160-241142102112127174-478528547676161110897810303696610051027603371103032117341914121.47%1402681.43%11438279551.45%1391304445.70%708141250.14%185013152119562998483
Total Saison régulière57418929301721312317782535-7572879914309121599001253-3532879015008916148781282-404518177831004878143111069753340020168966659867715659265677670352413412171036321.23%148630179.74%2092351903948.51%91462181741.92%4297971444.24%12596890615373396868153258
Séries éliminatoires
419127000004541411830000027216844000001820-224458012501010191558301772081795131483914511402417.14%1521987.50%043172859.20%40067659.17%14426454.55%466309454158245122
512660000029281624000001316-36420000016124122949780108910282099651053549296267321031.25%42685.71%017636148.75%17340642.61%8317547.43%2851922919015878
Total Séries éliminatoires311813000007469517107000004037314860000034322367412920302018282586502762732848672404877181723419.77%1942587.11%0607108955.74%573108252.96%22743951.71%752502746249403200