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Condors

GP: 80 | W: 6 | L: 70 | OTL: 4 | P: 16
GF: 221 | GA: 649 | PP%: 12.71% | PK%: 57.29%
DG: | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #1237 vs Wolves
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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 SP
1Jesper BrattX100.00623689706578646852766763686162050660
2Joel Eriksson EkX100.00843985687972706677646473666363050660
3Lawson CrouseX100.00975669649073946256636375646365050660
4Ryan ReavesX100.00965965598269935854615963588074050640
5David UllstromX100.00643788637981736268615960567870050630
6T.J. HensickX100.00543595636878726273655657598474050630
7Rocco GrimaldiX100.00543892656269686352646261657166050620
8Mitch CallahanX100.00593690597292885862575658577568050610
9Zach NastasiukX100.00663593558185795455535256536764050590
10Jonathan AngX100.00543787565794955562565154536163050580
11Linus OlundX100.00573594557192885456535253496362050580
12Haydn FleuryX100.00763889668577626430675368526563050640
13Mike ReillyX100.00643883657684706430735862537167050640
14Jeremy LauzonX100.00623884607881625930555668476364050610
15Blaine ByronX100.00533593596985795830565755586764050600
16Rinat ValievX100.00723982568691865430575258456764050600
Rayé
MOYENNE D'ÉQUIPE100.0067398661758178605161576256696605062
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 SP
1Jared Coreau100.0072807892717072717072717581050650
Rayé
MOYENNE D'ÉQUIPE100.007280789271707271707271758105065
Nom du Coach 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
1Blaine ByronCondors (EDM)D80732396-4910017818346612229615.67%194133016.6310134000002251.52%99000101.4400000345
2Haydn FleuryCondors (EDM)D1831114414052123082510.00%1942623.68224934000036010.00%000000.6600000011
Stats d'équipe Total ou en Moyenne987634110-4524023019549613032115.32%213175617.9232512390000362351.52%99000101.2500000356
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Blaine ByronCondors (EDM)D231995-02-21No172 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
David UllstromCondors (EDM)C291989-04-22No195 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Haydn FleuryCondors (EDM)D221996-07-08No208 Lbs6 ft3NoNoNo1Pro & Farm1,713,333$0$0$NoLien / Lien NHL
Jared CoreauCondors (EDM)G261991-11-05No214 Lbs6 ft5NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Jeremy LauzonCondors (EDM)D211997-04-28No204 Lbs6 ft1NoNoNo2Pro & Farm871,666$0$0$No871,666$Lien / Lien NHL
Jesper BrattCondors (EDM)LW201998-07-30No175 Lbs5 ft10NoNoNo2Pro & Farm825,000$0$0$No825,000$Lien / Lien NHL
Joel Eriksson EkCondors (EDM)C211997-01-29No208 Lbs6 ft1NoNoNo1Pro & Farm1,106,667$0$0$NoLien / Lien NHL
Jonathan AngCondors (EDM)C201998-01-31No172 Lbs5 ft1NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Lawson CrouseCondors (EDM)LW211997-06-23No220 Lbs6 ft4NoNoNo1Pro & Farm1,602,500$0$0$NoLien / Lien NHL
Linus OlundCondors (EDM)C211997-06-05No185 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Mike ReillyCondors (EDM)D251993-07-13No195 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Mitch CallahanCondors (EDM)RW271991-08-17No198 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Rinat ValievCondors (EDM)D231995-05-11No215 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Rocco GrimaldiCondors (EDM)C251993-02-08No180 Lbs5 ft6NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Ryan ReavesCondors (EDM)RW311987-01-20No225 Lbs6 ft1NoNoNo2Pro & Farm2,775,000$0$0$No2,775,000$Lien / Lien NHL
T.J. HensickCondors (EDM)RW321985-12-10No190 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Zach NastasiukCondors (EDM)RW231995-03-30No202 Lbs6 ft2NoNoNo1Pro & Farm871,667$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.12198 Lbs6 ft01.41995,686$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
130122
2Blaine Byron30122
325122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
130122
230122
325122
415122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Blaine Byron40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blaine Byron, , Blaine Byron,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #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
LigueDomicileVisiteur
# 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
1Admirals303000001222-1020200000815-71010000047-300.000122133009571541139901900920353118515915240.00%6433.33%0654210531.07%954353227.01%486159130.55%10647042887550864338
2Americans20200000318-151010000018-710100000210-800.000358009571541479019009203516951442300.00%2150.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
3Barracuda40400000637-3120200000223-2120200000414-1000.00061218009571541719019009203528363126810110.00%6350.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
4Bears20200000917-81010000079-21010000028-600.00091827009571541799019009203514650447300.00%20100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
5Bruins20200000717-101010000046-210100000311-800.00071219009571541449019009203513445832300.00%5340.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
6Checkers20200000419-151010000039-610100000110-900.0004711009571541799019009203514049047300.00%000.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
7Comets413000002334-112110000013130202000001021-1120.25023466900957154123390190092035345102121234375.00%5260.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
8Crunch20200000118-1710100000112-111010000006-600.000123009571541319019009203518958638500.00%220.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
9Devils2100000113130110000007611000000167-130.7501324370095715411449019009203518556459000.00%20100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
10Eagles30300000425-2120200000321-181010000014-300.0004812009571541699019009203518944251100.00%10100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
11Griffins20200000413-91010000025-31010000028-600.0004711009571541569019009203515345042300.00%000.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
12Gulls40400000236-3420200000221-1920200000015-1500.00023500957154110290190092035357944105600.00%2150.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
13Heat411001012628-22110000013130200001011315-240.5002649750095715412929019009203525856201563266.67%10460.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
14IceHogs30300000533-2810100000211-920200000322-1900.000510150095715415790190092035281718626116.67%3233.33%0654210531.07%954353227.01%486159130.55%10647042887550864338
15Marlies20200000219-1710100000112-111010000017-600.000224009571541449019009203518642230200.00%2150.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
16Monsters20200000515-101010000048-41010000017-600.000510150095715414090190092035128330455240.00%000.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
17Moose311000011920-121000001151231010000048-430.50019375600957154115190190092035253558102300.00%4325.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
18Penguins20200000812-41010000035-21010000057-200.00081523009571541105901900920351555084811100.00%3166.67%0654210531.07%954353227.01%486159130.55%10647042887550864338
19Phantoms20200000112-111010000015-41010000007-700.000123009571541509019009203512944243200.00%2150.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
20Rampage30300000224-2220200000115-141010000019-800.00024600957154177901900920352547010585120.00%5260.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
21Reign40400000823-152020000059-420200000314-1100.000816240095715418590190092035216521064800.00%5260.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
22Roadrunners40400000336-3320200000219-1720200000117-1600.00035800957154172901900920352948911108500.00%3166.67%0654210531.07%954353227.01%486159130.55%10647042887550864338
23Rocket20200000415-111010000038-51010000017-600.0004812009571541449019009203515249637700.00%20100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
24Senators201010001014-4100010007611010000038-520.50010203000957154116790190092035147204635240.00%20100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
25Sound Tigers20200000614-81010000036-31010000038-500.00061218009571541489019009203515146229300.00%2150.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
26Stars312000001925-611000000862202000001119-820.33319375600957154115990190092035300841680600.00%8450.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
27Thunderbirds20200000719-121010000069-310100000110-900.00071219009571541899019009203512232649200.00%2150.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
Total8057001103221649-4284053301001129317-188400370010292332-240160.1002214186390095715412747901900920356263172020818671181512.71%964157.29%0654210531.07%954353227.01%486159130.55%10647042887550864338
29Wild30300000124-231010000007-720200000117-1600.0001230095715416590190092035242781051200.00%4250.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
30Wolf Pack20200000319-1610100000111-101010000028-600.000358009571541569019009203516137447300.00%10100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
31Wolves30300000428-241010000017-620200000321-1800.00047110095715415290190092035233701050400.00%50100.00%0654210531.07%954353227.01%486159130.55%10647042887550864338
_Since Last GM Reset8057001103221649-4284053301001129317-188400370010292332-240160.1002214186390095715412747901900920356263172020818671181512.71%964157.29%0654210531.07%954353227.01%486159130.55%10647042887550864338
_Vs Conference4834200102120389-269243200000168192-124240220010152197-14590.0941202283480095715411487901900920353752989136113372912.50%622854.84%0654210531.07%954353227.01%486159130.55%10647042887550864338
_Vs Division212220010162173-11111211000003787-5010011001012586-6160.143621191810095715417179019009203518304876949528414.29%311745.16%0654210531.07%954353227.01%486159130.55%10647042887550864338

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8016L9221418639274762631720208186700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
805701103221649
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
405331001129317
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
40037010292332
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1181512.71%964157.29%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
901900920359571541
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
654210531.07%954353227.01%486159130.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10647042887550864338


Derniers Match 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")
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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
1 - 2019-10-023Comets8Condors6LSommaire du Match
4 - 2019-10-0530Reign5Condors2LSommaire du Match
7 - 2019-10-0837Condors3Sound Tigers8LSommaire du Match
9 - 2019-10-1049Condors6Devils7LXXSommaire du Match
11 - 2019-10-1261Condors2Wolf Pack8LSommaire du Match
13 - 2019-10-1484Condors1IceHogs12LSommaire du Match
15 - 2019-10-1695Phantoms5Condors1LSommaire du Match
17 - 2019-10-18111Griffins5Condors2LSommaire du Match
19 - 2019-10-20127Condors4Moose8LSommaire du Match
21 - 2019-10-22139Condors1Wild11LSommaire du Match
23 - 2019-10-24154Bears9Condors7LSommaire du Match
26 - 2019-10-27170Thunderbirds9Condors6LSommaire du Match
28 - 2019-10-29184Condors2Griffins8LSommaire du Match
29 - 2019-10-30189Condors1Monsters7LSommaire du Match
32 - 2019-11-02204Condors5Penguins7LSommaire du Match
34 - 2019-11-04223Roadrunners9Condors2LSommaire du Match
36 - 2019-11-06236Rampage9Condors0LSommaire du Match
38 - 2019-11-08251Devils6Condors7WSommaire du Match
40 - 2019-11-10269Condors0Gulls8LSommaire du Match
42 - 2019-11-12280Condors2Barracuda7LSommaire du Match
44 - 2019-11-14290Eagles11Condors2LSommaire du Match
46 - 2019-11-16300Stars6Condors8WSommaire du Match
49 - 2019-11-19330Condors2Barracuda7LSommaire du Match
51 - 2019-11-21345Condors2Reign5LSommaire du Match
53 - 2019-11-23360Condors1Wolves10LSommaire du Match
54 - 2019-11-24364Condors0Roadrunners11LSommaire du Match
57 - 2019-11-27387Condors1Eagles4LSommaire du Match
60 - 2019-11-30415Comets5Condors7WSommaire du Match
61 - 2019-12-01418Condors5Comets11LSommaire du Match
64 - 2019-12-04436Senators6Condors7WXSommaire du Match
66 - 2019-12-06450Reign4Condors3LSommaire du Match
68 - 2019-12-08467Americans8Condors1LSommaire du Match
70 - 2019-12-10479Checkers9Condors3LSommaire du Match
72 - 2019-12-12493Condors0Wild6LSommaire du Match
74 - 2019-12-14506Marlies12Condors1LSommaire du Match
76 - 2019-12-16523Condors5Stars10LSommaire du Match
78 - 2019-12-18537Condors1Rampage9LSommaire du Match
80 - 2019-12-20551Penguins5Condors3LSommaire du Match
81 - 2019-12-21555Rocket8Condors3LSommaire du Match
83 - 2019-12-23579Condors5Comets10LSommaire du Match
87 - 2019-12-27590Heat5Condors6WSommaire du Match
91 - 2019-12-31624Wolf Pack11Condors1LSommaire du Match
93 - 2020-01-02628Condors2Americans10LSommaire du Match
95 - 2020-01-04641Condors3Bruins11LSommaire du Match
97 - 2020-01-06659Condors1Marlies7LSommaire du Match
100 - 2020-01-09679Condors1Rocket7LSommaire du Match
102 - 2020-01-11701Condors7Heat8LXSommaire du Match
105 - 2020-01-14723Admirals7Condors3LSommaire du Match
109 - 2020-01-18745Roadrunners10Condors0LSommaire du Match
120 - 2020-01-29780Heat8Condors7LSommaire du Match
122 - 2020-01-31790Rampage6Condors1LSommaire du Match
123 - 2020-02-01803Condors6Heat7LXXSommaire du Match
126 - 2020-02-04824Condors1Roadrunners6LSommaire du Match
128 - 2020-02-06837Barracuda12Condors0LSommaire du Match
130 - 2020-02-08845Admirals8Condors5LSommaire du Match
133 - 2020-02-11875IceHogs11Condors2LSommaire du Match
135 - 2020-02-13882Condors0Crunch6LSommaire du Match
137 - 2020-02-15898Condors1Thunderbirds10LSommaire du Match
138 - 2020-02-16908Condors1Checkers10LSommaire du Match
141 - 2020-02-19928Bruins6Condors4LSommaire du Match
143 - 2020-02-21946Wild7Condors0LSommaire du Match
145 - 2020-02-23966Condors1Reign9LSommaire du Match
147 - 2020-02-25980Condors0Gulls7LSommaire du Match
148 - 2020-02-26982Condors2Wolves11LSommaire du Match
151 - 2020-02-291009Moose7Condors6LXXSommaire du Match
153 - 2020-03-021018Condors4Admirals7LSommaire du Match
154 - 2020-03-031026Condors6Stars9LSommaire du Match
156 - 2020-03-051040Condors2IceHogs10LSommaire du Match
158 - 2020-03-071058Monsters8Condors4LSommaire du Match
160 - 2020-03-091068Wolves7Condors1LSommaire du Match
162 - 2020-03-111080Moose5Condors9WSommaire du Match
164 - 2020-03-131097Sound Tigers6Condors3LSommaire du Match
166 - 2020-03-151109Condors0Phantoms7LSommaire du Match
167 - 2020-03-161120Condors2Bears8LSommaire du Match
169 - 2020-03-181132Condors3Senators8LSommaire du Match
171 - 2020-03-201150Crunch12Condors1LSommaire du Match
174 - 2020-03-231174Gulls11Condors1LSommaire du Match
176 - 2020-03-251188Eagles10Condors1LSommaire du Match
178 - 2020-03-271203Barracuda11Condors2LSommaire du Match
180 - 2020-03-291221Gulls10Condors1LSommaire du Match
182 - 2020-03-311237Wolves-Condors-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
186 - 2020-04-041269Condors-Heat-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,883,896$ 1,692,667$ 1,692,667$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,883,896$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 9,052$ 63,364$




LigueDomicileVisiteur
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
282254601325203260-5741161901212115120-5419270011388140-5250203355558137771529212567774169536279378496715763065618.30%3726582.53%31103240545.86%1260289343.55%593130445.48%1836121820546261074523
38238270119622318439411813001541099514412014010421148925762233796021785715714234973285872991246071096816473346017.96%3965286.87%11350265550.85%1426288949.36%612118451.69%2064141418676131066544
4823927022102256202544118140025212510421412113020501319833782564607162810777601728649339909086724017151447192958112120.83%6099185.06%131918324159.18%1759293959.85%747125459.57%2124145718306301036533
582362404693244200444122903241130854541141501452114115-17224442166529103666217261682181094187251370449019452115325.12%1833481.42%31315261150.36%1135256944.18%566120147.13%217215951825538995516
682402502465307227804119170122013812612412180124516910168803075448511911810279133359113111331031114268474455121482346226.50%2354282.13%11937319760.59%1542279055.27%740132255.98%2253163517185481017543
782313900435262272-1041161700323130127341152200112132145-1362262428690331136878430899741079102239323396632720652344920.94%1393376.26%11256289943.33%1273314540.48%548131841.58%198714311983553995494
88057001103221649-4284053301001129317-188400370010292332-240162214186390095715412747901900920356263172020818671181512.71%964157.29%0654210531.07%954353227.01%486159130.55%10647042887550864338
Total Saison Régulière57221425801121392917161994-27828611412206121913876974-9828610013605920168401020-18043417163005472110396985264427519149616965116246469223476343495813177201841620.61%203035882.36%2295331911349.88%93492075745.04%4292917446.78%13502945614168406070503494
Séries
313850000038326642000001611574300000222111638661041091512241811415313615371134206256531528.30%711184.51%128849458.30%25146853.63%11620357.14%33723230510217790
419127000004541411830000027216844000001820-2244580125011019151583177208179195131483914511402417.14%1521987.50%043172859.20%40067659.17%14426454.55%466309454158245122
512660000029281624000001316-364200000161241229497801891022829965105133549296267321031.25%42685.71%017636148.75%17340642.61%8317547.43%2851922919015878
Total Séries44261800000112101112314900000564882112900000565335211219530712274337512833904264204712383746939742254921.78%2653686.42%1895158356.54%824155053.16%34364253.43%10897351051351581291