Condors

GP: 42 | W: 25 | L: 14 | OTL: 3 | P: 53
GF: 138 | GA: 126 | PP%: 19.64% | PK%: 81.60%
DG: Jonathan Legault | Morale : 62 | Moyenne d'Équipe : 61
Prochain matchs #694 vs Wild
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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
1Mitchell StephensX100.005935936273807461656059586063626357600
2Ryan GroppX100.006436916081928858595654575565636253600
3Alexandre AlainX100.005937885876949357615652555463626373600
4Matthew Phillips (R)X100.005035955957928958655954515661636478590
5Nicholas Caamano (R)X100.006441775579949354565353565461636478590
6Carter BancksX100.005338855469939153565351524878795576580
7Brian Pinho (R)X100.005635945469949353605251544867646178580
8Matheson IacopelliX100.006838855582787254535151555269656073570
9Hudson Elynuik (R)X100.006339775685716254655653575261636678570
10Drake Rymsha (R)X100.005742755572787254625351545261636479560
11Jake CheliosX100.005936925877897057305553604575684769620
12Chris BigrasX100.006138855776908456305951564667647673610
13Trevor CarrickX100.005847746180827260305954584669655781610
14Parker WotherspoonX100.005339835669928955305652534663626374590
Rayé
MOYENNE D'ÉQUIPE100.00593885577587825652565355516665627359
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
1John Muse100.00786664697776787776787779854278730
2Mike Condon100.00746563797373747373747377834478720
Rayé
1Joey Daccord (R)100.00636361806261636261636265695920620
MOYENNE D'ÉQUIPE100.0072656376717072717072717479485969
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens78777179787371CAN5252,100,000$


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
1Chris BigrasCondors (Edm)D421230429440845197305112.37%6595422.72741158121000094300.00%000000.8800000222
2Jake CheliosCondors (Edm)D351027372440684810328679.71%5785824.535101558109000179220.00%100000.8600000203
3Matthew PhillipsCondors (Edm)RW2613173019001548105326912.38%559422.8735819850001282069.88%8300001.0101000125
4Carter BancksCondors (Edm)RW42141529629562521344510810.45%1095122.6533621880003342161.43%7000000.6101100242
5Nicholas CaamanoCondors (Edm)RW2615132873008151127349211.81%1672327.8115620980004763062.50%5600010.7701000342
6Matheson IacopelliCondors (Edm)LW4215122703001005415235979.87%1181019.30336241050002393157.97%29500100.6701000332
7Brian PinhoCondors (Edm)C26916251660184878174611.54%543216.651452287000000066.81%46700001.1600000211
8Parker WotherspoonCondors (Edm)D421232424357145409272.50%4461614.68000518000128100.00%000000.7800001112
9Mitchell Vande SompelEdmonton OilersD18615213120301945152913.33%2042623.6755103573000039100.00%000010.9900000210
10Trevor CarrickCondors (Edm)D264141812471533355422217.41%2558322.443142764000239110.00%000000.6200102001
11Hudson ElynuikCondors (Edm)C2651015816043386730547.46%935013.480000110000141069.78%32100000.8601000102
12Alexandre AlainCondors (Edm)C10581342072132123915.63%328728.710226390000222069.32%26400000.9100000120
13Ryan GroppCondors (Edm)LW168311-3100221756173714.29%51489.2600000000001046.67%1500001.4900000102
14Drake RymshaCondors (Edm)C26731099582041103117.07%32379.1500015000001063.16%19000000.8411001010
Stats d'équipe Total ou en Moyenne4031242063309432230642547113133676810.96%278797419.793142732969080001449723565.44%176200120.8316204212124
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
1John MuseCondors (Edm)2620420.9212.06157321546870001.0007260311
Stats d'équipe Total ou en Moyenne2620420.9212.06157321546870001.0007260311


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
Alexandre AlainCondors (Edm)C221997-03-03No180 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Brian PinhoCondors (Edm)C241995-05-11Yes173 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Carter BancksCondors (Edm)RW291989-08-09No181 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Chris BigrasCondors (Edm)D241995-02-22No191 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Drake RymshaCondors (Edm)C201998-08-18Yes187 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Hudson ElynuikCondors (Edm)C211997-10-12Yes194 Lbs6 ft5NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Jake CheliosCondors (Edm)D281991-03-08No185 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joey DaccordCondors (Edm)G221996-08-19Yes197 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
John MuseCondors (Edm)G301988-08-01No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Matheson IacopelliCondors (Edm)LW251994-05-15No207 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Matthew PhillipsCondors (Edm)RW211998-04-06Yes140 Lbs5 ft7NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Mike CondonCondors (Edm)G291990-04-27No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien
Mitchell StephensCondors (Edm)C221997-02-05No191 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Nicholas CaamanoCondors (Edm)RW201998-09-07Yes195 Lbs6 ft2NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Parker WotherspoonCondors (Edm)D211997-08-24No171 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ryan GroppCondors (Edm)LW221996-09-16No187 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Trevor CarrickCondors (Edm)D241994-07-04No196 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1723.76186 Lbs6 ft13.00447,059$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matheson IacopelliNicholas Caamano40122
2Carter BancksBrian PinhoMatthew Phillips30122
3Hudson ElynuikCarter Bancks20122
4Nicholas CaamanoDrake RymshaMatthew Phillips10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Trevor CarrickChris Bigras30122
3Parker Wotherspoon20122
4Trevor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matheson IacopelliNicholas Caamano60122
2Carter BancksBrian PinhoMatthew Phillips40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Trevor CarrickChris Bigras40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nicholas Caamano60122
2Matthew PhillipsCarter Bancks40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Trevor CarrickChris Bigras40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Nicholas Caamano40122Trevor CarrickChris Bigras40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nicholas Caamano60122
2Matthew PhillipsCarter Bancks40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Trevor CarrickChris Bigras40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matheson IacopelliNicholas Caamano
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matheson IacopelliNicholas Caamano
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Hudson Elynuik, Drake Rymsha, Matheson IacopelliHudson Elynuik, Drake RymshaMatheson Iacopelli
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Parker Wotherspoon, Chris Bigras, Parker WotherspoonChris Bigras,
Tirs de Pénalité
, Nicholas Caamano, Matthew Phillips, Carter Bancks, Matheson Iacopelli
Gardien
#1 : John Muse, #2 : Mike Condon


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
1Barracuda532000001112-12110000056-13210000066060.600111829004144494108430435456251704134902428.33%16193.75%0693128254.06%637131248.55%34363454.10%1127838935266478248
2Eagles86001100432023430010002510154300010018108150.938437912200414449438043043545625216615915230723.33%20385.00%0693128254.06%637131248.55%34363454.10%1127838935266478248
3Gulls722021002121031001100862412010001315-290.6432137580041444942144304354562518145581243026.67%28678.57%0693128254.06%637131248.55%34363454.10%1127838935266478248
4Heat752000002020043100000101003210000010100100.71420345400414449422943043545625223695614431929.03%28485.71%0693128254.06%637131248.55%34363454.10%1127838935266478248
5Moose2200000012482200000012480000000000041.00012243600414449479430435456254617144210220.00%6183.33%0693128254.06%637131248.55%34363454.10%1127838935266478248
6Rampage1010000037-41010000037-40000000000000.00036900414449417430435456255411121622100.00%6266.67%0693128254.06%637131248.55%34363454.10%1127838935266478248
7Reign330000001459110000005052200000095461.000142842014144494124430435456257017265113646.15%70100.00%0693128254.06%637131248.55%34363454.10%1127838935266478248
8Roadrunners503000111117-630200001813-52010001034-130.3001119300041444941174304354562517048628616212.50%30680.00%0693128254.06%637131248.55%34363454.10%1127838935266478248
9Stars2020000028-61010000015-41010000013-200.000246004144494414304354562582212134600.00%8275.00%0693128254.06%637131248.55%34363454.10%1127838935266478248
Total4221140321113812612211160210177611621108011106165-4530.63113825038801414449413374304354562512883543707711683319.64%1633081.60%0693128254.06%637131248.55%34363454.10%1127838935266478248
11Wild20200000112-110000000000020200000112-1100.0001120041444942843043545625762428326116.67%14564.29%0693128254.06%637131248.55%34363454.10%1127838935266478248
_Since Last GM Reset4221140321113812612211160210177611621108011106165-4530.63113825038801414449413374304354562512883543707711683319.64%1633081.60%0693128254.06%637131248.55%34363454.10%1127838935266478248
_Vs Conference201170110069672106301000393271054001003035-5250.6256912419300414449469543043545625651186176378751925.33%761678.95%0693128254.06%637131248.55%34363454.10%1127838935266478248

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4253SOW11382503881337128835437077101
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4221143211138126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2111621017761
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2110811106165
Derniers 10 Matchs
WLOTWOTL SOWSOL
530110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1683319.64%1633081.60%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
430435456254144494
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
693128254.06%637131248.55%34363454.10%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1127838935266478248


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")
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
3 - 2019-09-048Heat3Condors4WSommaire du Match
4 - 2019-09-0522Barracuda5Condors1LSommaire du Match
8 - 2019-09-0931Condors1Barracuda4LSommaire du Match
11 - 2019-09-1257Roadrunners4Condors2LSommaire du Match
18 - 2019-09-1994Condors4Gulls3WSommaire du Match
25 - 2019-09-26129Heat5Condors1LSommaire du Match
29 - 2019-09-30138Condors1Heat4LSommaire du Match
32 - 2019-10-03166Stars5Condors1LSommaire du Match
33 - 2019-10-04171Rampage7Condors3LSommaire du Match
37 - 2019-10-08179Condors0Wild7LSommaire du Match
39 - 2019-10-10202Condors1Wild5LSommaire du Match
45 - 2019-10-16233Condors3Gulls5LSommaire du Match
46 - 2019-10-17248Eagles4Condors5WXSommaire du Match
49 - 2019-10-20256Eagles2Condors6WSommaire du Match
52 - 2019-10-23275Condors6Reign3WSommaire du Match
53 - 2019-10-24289Roadrunners6Condors5LXXSommaire du Match
58 - 2019-10-29307Reign0Condors5WSommaire du Match
60 - 2019-10-31331Moose2Condors5WSommaire du Match
64 - 2019-11-04347Moose2Condors7WSommaire du Match
67 - 2019-11-07376Barracuda1Condors4WSommaire du Match
68 - 2019-11-08380Condors3Barracuda1WSommaire du Match
73 - 2019-11-13400Gulls3Condors2LXSommaire du Match
74 - 2019-11-14413Condors4Heat2WSommaire du Match
78 - 2019-11-18433Condors5Heat4WSommaire du Match
80 - 2019-11-20446Condors5Eagles4WSommaire du Match
81 - 2019-11-21463Condors4Eagles1WSommaire du Match
86 - 2019-11-26475Condors3Gulls2WXSommaire du Match
88 - 2019-11-28498Gulls2Condors3WXSommaire du Match
90 - 2019-11-30510Condors3Reign2WSommaire du Match
92 - 2019-12-02517Gulls1Condors3WSommaire du Match
94 - 2019-12-04528Eagles2Condors6WSommaire du Match
95 - 2019-12-05544Roadrunners3Condors1LSommaire du Match
99 - 2019-12-09557Condors1Stars3LSommaire du Match
101 - 2019-12-11572Condors2Eagles3LXSommaire du Match
102 - 2019-12-12587Condors7Eagles2WSommaire du Match
106 - 2019-12-16603Heat1Condors2WSommaire du Match
108 - 2019-12-18615Heat1Condors3WSommaire du Match
109 - 2019-12-19630Condors3Gulls5LSommaire du Match
111 - 2019-12-21643Condors2Barracuda1WSommaire du Match
113 - 2019-12-23652Eagles2Condors8WSommaire du Match
115 - 2019-12-25666Condors1Roadrunners3LSommaire du Match
116 - 2019-12-26669Condors2Roadrunners1WXXSommaire du Match
122 - 2020-01-01694Wild-Condors-
123 - 2020-01-02708Condors-Reign-
129 - 2020-01-08732Barracuda-Condors-
130 - 2020-01-09747Gulls-Condors-
134 - 2020-01-13768Heat-Condors-
136 - 2020-01-15778Condors-Reign-
137 - 2020-01-16792Reign-Condors-
144 - 2020-01-23838Condors-Roadrunners-
146 - 2020-01-25846Condors-Roadrunners-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29865Wild-Condors-
151 - 2020-01-30881Barracuda-Condors-
155 - 2020-02-03895Condors-Barracuda-
157 - 2020-02-05909Condors-Heat-
158 - 2020-02-06920Condors-Barracuda-
162 - 2020-02-10942Gulls-Condors-
165 - 2020-02-13966Reign-Condors-
171 - 2020-02-19993Condors-Reign-
176 - 2020-02-241025Reign-Condors-
178 - 2020-02-261036Condors-Gulls-
179 - 2020-02-271051Barracuda-Condors-
182 - 2020-03-011061Condors-Moose-
183 - 2020-03-021068Condors-Moose-
186 - 2020-03-051096Condors-Rampage-
190 - 2020-03-091111Roadrunners-Condors-
193 - 2020-03-121140Reign-Condors-
194 - 2020-03-131150Condors-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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,337,641$ 76,000$ 11,630$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 49,525$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 75 11,216$ 841,200$




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
144221140321113812612211160210177611621108011106165-45313825038801414449413374304354562512883543707711683319.64%1633081.60%0693128254.06%637131248.55%34363454.10%1127838935266478248
Total Saison Régulière4221140321113812612211160210177611621108011106165-45313825038801414449413374304354562512883543707711683319.64%1633081.60%0693128254.06%637131248.55%34363454.10%1127838935266478248