Condors

GP: 68 | W: 45 | L: 20 | OTL: 3 | P: 93
GF: 226 | GA: 170 | PP%: 18.79% | PK%: 82.87%
DG: Jonathan Legault | Morale : 83 | Moyenne d'Équipe : 61
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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 StephensX100.005935936273807461656059586063626379610
2Ryan GroppX100.006436916081928858595654575565636279610
3Alexandre AlainX100.005937885876949357615652555463626390600
4Matthew Phillips (R)X100.005035955957928958655954515661636491590
5Nicholas Caamano (R)X100.006441775579949354565353565461636491590
6Carter BancksX100.005338855469939153565351524878795590580
7Brian Pinho (R)X100.005635945469949353605251544867646191580
8Matheson IacopelliX100.006838855582787254535151555269656090570
9Hudson Elynuik (R)X100.006339775685716254655653575261636691570
10Drake Rymsha (R)X100.005742755572787254625351545261636490560
11Jake CheliosX100.005936925877897057305553604575684789620
12Trevor CarrickX100.005847746180827260305954584669655791620
13Chris BigrasX100.006138855776908456305951564667647690610
14Mitchell Vande SompelX100.006436776070787359306257615563587391610
15Parker WotherspoonX100.005339835669928955305652534663626391600
Rayé
MOYENNE D'ÉQUIPE100.00593885577486815650565356516664638959
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 Muse100.00786664697776787776787779854291740
2Mike Condon100.00746563797373747373747377834491720
Rayé
1Joey Daccord (R)100.00636361806261636261636265695920620
MOYENNE D'ÉQUIPE100.0072656376717072717072717479486769
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
1Nicholas CaamanoCondors (Edm)RW5234255927595139832336314914.59%25127624.567815482020005976160.42%9600020.9201001765
2Chris BigrasCondors (Edm)D681442561066011471134397410.45%84154222.699918822080000142300.00%000000.7300000223
3Carter BancksCondors (Edm)RW682422461233583762086817811.54%14139120.475510261080003424164.65%9900000.6601100392
4Matheson IacopelliCondors (Edm)LW682323461944015688250621479.20%20132919.56369442110002537157.32%32100100.6901000654
5Jake CheliosCondors (Edm)D5414324695409367151361009.27%86140225.9861218851900002128330.00%100000.6600000304
6Matthew PhillipsCondors (Edm)RW52212445184030841875512111.23%7110121.1871017431881015692167.77%12100100.8212000237
7Brian PinhoCondors (Edm)C5214274122602892137348910.22%1083015.96279261070111280064.85%84200000.9900000221
8Trevor CarrickCondors (Edm)D527334024642086639536617.37%40114822.08461047144011288110.00%000000.7000103203
9Parker WotherspoonCondors (Edm)D682363818621091544817354.17%61100214.74000629011153110.00%000000.7600002212
10Mitchell Vande SompelCondors (Edm)D37730371728073418327578.43%4489624.236101662147011080200.00%000010.8300000311
11Alexandre AlainCondors (Edm)C291317301040436395278113.68%583728.88347201210004803063.61%76400010.7202000253
12Ryan GroppCondors (Edm)LW3513152802204549111269811.71%760717.3625712820001363058.21%6700000.9202000223
13Hudson ElynuikCondors (Edm)C527162315340666511542926.09%1254410.480000120000142066.47%51600000.8401000202
14Mitchell StephensCondors (Edm)C19813211840184672235411.11%147324.9305519771011542059.23%39000000.8912000122
15Drake RymshaCondors (Edm)C52881612135252764175312.50%54238.15000514000022060.51%27600000.7611001010
Stats d'équipe Total ou en Moyenne7582093635722314974510909691983572138910.54%4211480919.54548714152518472462797341962.98%349300240.77313207393942
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)52401020.9241.873144469812900201.00014520442
Stats d'équipe Total ou en Moyenne52401020.9241.873144469812900201.00014520442


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
Mitchell Vande SompelCondors (Edm)D221997-02-11No194 Lbs5 ft10NoNoNo3Pro & 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
1823.67186 Lbs6 ft13.00450,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan GroppAlexandre AlainMatthew Phillips40122
2Matheson IacopelliMitchell StephensNicholas Caamano30122
3Alexandre AlainBrian PinhoCarter Bancks20122
4Mitchell StephensHudson ElynuikRyan Gropp10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake CheliosChris Bigras40122
2Mitchell Vande SompelTrevor Carrick30122
3Parker WotherspoonJake Chelios20122
4Chris BigrasMitchell Vande Sompel10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan GroppAlexandre AlainMatthew Phillips60122
2Matheson IacopelliMitchell StephensNicholas Caamano40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake CheliosChris Bigras60122
2Mitchell Vande SompelTrevor Carrick40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alexandre AlainMitchell Stephens60122
2Ryan GroppMatthew Phillips40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake CheliosChris Bigras60122
2Mitchell Vande SompelTrevor Carrick40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alexandre Alain60122Jake CheliosChris Bigras60122
2Mitchell Stephens40122Mitchell Vande SompelTrevor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alexandre AlainMitchell Stephens60122
2Ryan GroppMatthew Phillips40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake CheliosChris Bigras60122
2Mitchell Vande SompelTrevor Carrick40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan GroppAlexandre AlainMatthew PhillipsJake CheliosChris Bigras
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan GroppAlexandre AlainMatthew PhillipsJake CheliosChris Bigras
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Drake Rymsha, Carter Bancks, Brian PinhoDrake Rymsha, Carter BancksBrian Pinho
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Parker Wotherspoon, Trevor Carrick, Jake CheliosParker WotherspoonTrevor Carrick, Jake Chelios
Tirs de Pénalité
Alexandre Alain, Mitchell Stephens, Ryan Gropp, Matthew Phillips, Nicholas Caamano
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
1Barracuda10540001023230522000101315-2532000001082120.60023396201787070822170673673840282658317847612.77%38489.47%01214215556.33%1025201750.82%582102556.78%187713971451432785414
2Eagles86001100432023430010002510154300010018108150.938437912200787070838070673673840216615915230723.33%20385.00%01214215556.33%1025201750.82%582102556.78%187713971451432785414
3Gulls104302100272615210110012102522010001516-1130.6502747740078707083027067367384026368791675247.69%35780.00%01214215556.33%1025201750.82%582102556.78%187713971451432785414
4Heat10730000030264532000001213-15410000018135140.700305282007870708346706736738402888766204461123.91%33778.79%01214215556.33%1025201750.82%582102556.78%187713971451432785414
5Moose440000002381522000000124822000000114781.000234467007870708171706736738408325267818633.33%12283.33%11214215556.33%1025201750.82%582102556.78%187713971451432785414
6Rampage2010100058-31010000037-41000100021120.5005101500787070844706736738407821202913215.38%10280.00%01214215556.33%1025201750.82%582102556.78%187713971451432785414
7Reign109000010531340550000003132854000010221012201.0005397150047870708472706736738402495973200441534.09%26196.15%11214215556.33%1025201750.82%582102556.78%187713971451432785414
8Roadrunners824000111721-4412000011013-34120001078-170.43817314801787070816270673673840233619414423417.39%46784.78%01214215556.33%1025201750.82%582102556.78%187713971451432785414
9Stars2020000028-61010000015-41010000013-200.000246007870708417067367384082212134600.00%8275.00%01214215556.33%1025201750.82%582102556.78%187713971451432785414
Total6837200523122617056341810031111218536341910021201058520930.684226408634067870708220470673673840189151156712442985618.79%2514382.87%21214215556.33%1025201750.82%582102556.78%187713971451432785414
11Wild40301000317-142010100025-320200000112-1120.25035800787070865706736738401174346581915.26%23865.22%01214215556.33%1025201750.82%582102556.78%187713971451432785414
_Since Last GM Reset6837200523122617056341810031111218536341910021201058520930.684226408634067870708220470673673840189151156712442985618.79%2514382.87%21214215556.33%1025201750.82%582102556.78%187713971451432785414
_Vs Conference2613903100837941365020004340313740110040391330.63583150233007870708876706736738407812332124771142118.42%942276.60%01214215556.33%1025201750.82%582102556.78%187713971451432785414

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6893W322640863422041891511567124406
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6837205231226170
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
341810311112185
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
341910212010585
Derniers 10 Matchs
WLOTWOTL SOWSOL
801010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2985618.79%2514382.87%2
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
706736738407870708
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
1214215556.33%1025201750.82%582102556.78%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
187713971451432785414


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 - 2020-01-01694Wild4Condors0LSommaire du Match
123 - 2020-01-02708Condors4Reign3WSommaire du Match
129 - 2020-01-08732Barracuda4Condors0LSommaire du Match
130 - 2020-01-09747Gulls2Condors3WSommaire du Match
134 - 2020-01-13768Heat3Condors2LSommaire du Match
136 - 2020-01-15778Condors6Reign0WSommaire du Match
137 - 2020-01-16792Reign1Condors6WSommaire du Match
144 - 2020-01-23838Condors3Roadrunners1WSommaire du Match
146 - 2020-01-25846Condors1Roadrunners3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29865Wild1Condors2WXSommaire du Match
151 - 2020-01-30881Barracuda3Condors4WXXSommaire du Match
155 - 2020-02-03895Condors1Barracuda2LSommaire du Match
157 - 2020-02-05909Condors4Heat2WSommaire du Match
158 - 2020-02-06920Condors3Barracuda0WSommaire du Match
162 - 2020-02-10942Gulls2Condors1LSommaire du Match
165 - 2020-02-13966Reign2Condors5WSommaire du Match
171 - 2020-02-19993Condors3Reign2WXXSommaire du Match
176 - 2020-02-241025Reign0Condors9WSommaire du Match
178 - 2020-02-261036Condors2Gulls1WSommaire du Match
179 - 2020-02-271051Barracuda2Condors4WSommaire du Match
182 - 2020-03-011061Condors5Moose1WSommaire du Match
183 - 2020-03-021068Condors6Moose3WSommaire du Match
186 - 2020-03-051096Condors2Rampage1WXSommaire du Match
190 - 2020-03-091111Roadrunners0Condors2WSommaire du Match
193 - 2020-03-121140Reign0Condors6WSommaire du Match
194 - 2020-03-131150Condors4Heat1WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,180,349$ 81,000$ 11,630$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 80,433$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,242$ 0$




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
14683720052312261705634181003111121853634191002120105852093226408634067870708220470673673840189151156712442985618.79%2514382.87%21214215556.33%1025201750.82%582102556.78%187713971451432785414
Total Saison Régulière683720052312261705634181003111121853634191002120105852093226408634067870708220470673673840189151156712442985618.79%2514382.87%21214215556.33%1025201750.82%582102556.78%187713971451432785414