Condors

GP: 68 | W: 20 | L: 42 | OTL: 6 | P: 46
GF: 165 | GA: 212 | PP%: 12.67% | PK%: 82.39%
DG: Jonathan Legault | Morale : 21 | Moyenne d'Équipe : 57
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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
1C.J. Smith (R)X100.00735580736666696050606255556771162610
2Alex Schoenborn (R)X100.00735561627871675550555556557475135580
3Carter BancksX100.00675565626762725550555555557375142570
4Matheson Iacopelli (R)X100.00805580557960695850555855555050157570
5Jake DowellX100.00605558607670695550555555556061140570
6Bryan BickellX100.00565555555758585550555555557575151550
7Ryan Gropp (R)X100.00565555555555555550555555555050152530
8Adam Gilmour (R)X100.00565555555859605550555555555050139530
9Mitchell Stephens (R)X100.00565555555555555550555555555050122520
10Chris BigrasX100.00695574817574666625616067555353134650
11Jacob MacDonald (R)X100.00605564617465656025606055555353133580
12Andrei MarkovX100.00555555605555555525555555558792152570
13Jake CheliosX100.00595559605959705925595959555353142570
14Parker Wotherspoon (R)X100.00555555605555775525555555555555153550
15Petter GranbergX100.00555555605555575525555555555353143540
16Trevor CarrickX100.00555555605555675525555555555353142540
17Mitchell Vande Sompel (R)X100.00555555605555555525555555555555123530
Rayé
MOYENNE D'ÉQUIPE100.0061556161636164573856565655596014256
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
1Steve Michalek100.0069696579717169677070556866147680
2John Muse100.0062696666676767646766556465130640
Rayé
1Jeff Zatkoff100.0054685770646459895863557370120640
2Evan Cowley (R)100.0055555555555555555555555055120530
MOYENNE D'ÉQUIPE100.006065616864646369636455646412962
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma63756277815976USA475100,000$


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 GP 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
1Jake DowellCondors (Edm)C68222547-36515141140250741298.80%23139920.5877145926500021181050.65%107200100.6712111455
2Alex SchoenbornCondors (Edm)RW6016274351091517094145399911.03%22136422.7555104124200012122048.03%15200000.6302102214
3Jake CheliosCondors (Edm)D49102838118210876286245711.63%44101220.666410511870001197220.00%000000.7500002234
4Chris BigrasCondors (Edm)D26624301244075456925608.70%3561323.59491349980220103100.00%000000.9800000212
5C.J. SmithCondors (Edm)LW3013162916180557790295814.44%873224.422792312700031291043.66%46500100.7902000242
6Matheson IacopelliCondors (Edm)C49131629105810958193377313.98%1195919.582791618201101042051.88%93100000.6000002222
7Andrei MarkovCondors (Edm)D49818268715764574153410.81%4398220.053811511810001195100.00%000000.5300001211
8Jacob MacDonaldCondors (Edm)D427172481062079457323709.59%4585220.313710491631013166100.00%000000.5600111010
9Carter BancksCondors (Edm)LW491013232420737310421669.62%10105421.534592915800011101150.27%18700000.4402000111
10Ryan GroppCondors (Edm)LW491211231200634470245117.14%378416.001014690004922040.54%11100100.5900000111
11Parker WotherspoonCondors (Edm)D4951722-549567495412249.26%4485317.42213321070000112000.00%100000.5200010212
12Bryan BickellCondors (Edm)RW495162103810454111524684.35%585317.4218934182000001050.00%5200000.4900002100
13Adam GilmourCondors (Edm)LW6811920-1440558112828908.59%1178811.590119470002340048.86%8800000.5100000124
14Trevor CarrickCondors (Edm)D6881018-18107151256945112517.78%8198514.490005141012128000.00%000000.3700002131
15Petter GranbergCondors (Edm)D685813-159610104576624587.58%6591413.452243510900001381050.00%800000.2800011011
16Mitchell StephensCondors (Edm)C1212304071713287.69%116613.87000030000341039.58%14400000.3600000000
17Mitchell Vande SompelCondors (Edm)D14011-7475181013480.00%922816.34000636000025000.00%000000.0900001000
Stats d'équipe Total ou en Moyenne79915225841024100012013351030148841697810.22%4601454618.214271113493217723520190317348.93%321100300.56183415232730
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
1Steve MichalekCondors (Edm)26101330.9002.37151722606010110.62582611001
2John MuseCondors (Edm)124610.9082.3067722262820000.00001112201
Stats d'équipe Total ou en Moyenne38141940.9032.35219444868830110.62583723202


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam GilmourCondors (Edm)LW221994-01-29Yes192 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Alex SchoenbornCondors (Edm)RW211995-12-12Yes196 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Andrei MarkovCondors (Edm)D381978-12-19No197 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Bryan BickellCondors (Edm)RW301986-03-09No223 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
C.J. SmithCondors (Edm)LW221994-12-01Yes181 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Carter BancksCondors (Edm)LW271989-08-09No181 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Chris BigrasCondors (Edm)D211995-02-22No190 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Evan CowleyCondors (Edm)G211995-07-31Yes201 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Jacob MacDonaldCondors (Edm)D231993-02-26Yes201 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Jake CheliosCondors (Edm)D251991-03-08No188 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Jake DowellCondors (Edm)C311985-03-04No200 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Jeff ZatkoffCondors (Edm)G291987-06-09No179 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
John MuseCondors (Edm)G281988-08-01No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Matheson IacopelliCondors (Edm)C221994-05-15Yes207 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Mitchell StephensCondors (Edm)C191997-02-05Yes196 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Mitchell Vande SompelCondors (Edm)D191997-02-11Yes190 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Parker WotherspoonCondors (Edm)D191997-08-24Yes172 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Petter GranbergCondors (Edm)D241992-08-26No200 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan GroppCondors (Edm)LW201996-09-16Yes194 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Steve MichalekCondors (Edm)G231993-08-05No197 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Trevor CarrickCondors (Edm)D221994-07-03No186 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.10193 Lbs6 ft12.76409,524$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DowellAlex Schoenborn40122
2Carter BancksMatheson IacopelliBryan Bickell30122
3Ryan GroppAlex Schoenborn20122
4Adam GilmourJake DowellCarter Bancks10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BigrasJacob MacDonald40122
2Jake CheliosAndrei Markov30122
3Parker WotherspoonTrevor Carrick20122
4Petter GranbergChris Bigras10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DowellAlex Schoenborn60122
2Carter BancksMatheson IacopelliBryan Bickell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BigrasJacob MacDonald60122
2Jake CheliosAndrei Markov40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alex Schoenborn60122
2Jake DowellCarter Bancks40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BigrasJacob MacDonald60122
2Jake CheliosAndrei Markov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Chris BigrasJacob MacDonald60122
2Alex Schoenborn40122Jake CheliosAndrei Markov40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex Schoenborn60122
2Jake DowellCarter Bancks40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris BigrasJacob MacDonald60122
2Jake CheliosAndrei Markov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellAlex SchoenbornChris BigrasJacob MacDonald
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellAlex SchoenbornChris BigrasJacob MacDonald
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Gropp, Adam Gilmour, Matheson IacopelliRyan Gropp, Adam GilmourMatheson Iacopelli
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Parker Wotherspoon, Trevor Carrick, Petter GranbergParker WotherspoonTrevor Carrick, Petter Granberg
Tirs de Pénalité
, Alex Schoenborn, Jake Dowell, Carter Bancks, Matheson Iacopelli
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
1Barracuda1027000012035-15513000011020-10514000001015-550.25020355500755137318755858857216266782002036346.35%741382.43%0879193845.36%809204239.62%41999242.24%156710811735490804394
2Eagles816001001023-1340400000715-84120010038-530.18810172701755137313355858857216226701451635048.00%52982.69%0879193845.36%809204239.62%41999242.24%156710811735490804394
3Gulls10010000001538-2350500000816-850500000722-1500.00015233810755137320555858857216285711571895758.77%691381.16%1879193845.36%809204239.62%41999242.24%156710811735490804394
4Heat1016011012536-11513001001521-6503010011015-560.300254267007551373267558588572162748215719161813.11%691873.91%0879193845.36%809204239.62%41999242.24%156710811735490804394
5Moose42200000161422200000011652020000058-340.5001630460075513731435585885721613745429518211.11%20480.00%0879193845.36%809204239.62%41999242.24%156710811735490804394
6Rampage20200000410-61010000014-31010000036-300.00048120075513735055858857216561437441417.14%15473.33%0879193845.36%809204239.62%41999242.24%156710811735490804394
7Reign107100200422319531001002111105400010021129160.800428112301755137341255858857216223698926332928.13%37391.89%1879193845.36%809204239.62%41999242.24%156710811735490804394
8Roadrunners82501000171704130000089-14120100098160.375172946007551373182558588572161976712618329310.34%55492.73%0879193845.36%809204239.62%41999242.24%156710811735490804394
9Stars2110000034-11010000024-21100000010120.50035801755137342558588572164819452612216.67%14285.71%0879193845.36%809204239.62%41999242.24%156710811735490804394
Total68184202402165212-473410210020195109-14348210220170103-33460.3381652954601475513731726558588572161825555106514543634612.67%4267582.39%2879193845.36%809204239.62%41999242.24%156710811735490804394
11Wild42200000131212200000012392020000019-840.5001325380175513731055585885721611340679727829.63%21576.19%0879193845.36%809204239.62%41999242.24%156710811735490804394
_Since Last GM Reset68184202402165212-473410210020195109-14348210220170103-33460.3381652954601475513731726558588572161825555106514543634612.67%4267582.39%2879193845.36%809204239.62%41999242.24%156710811735490804394
_Vs Conference26517012015585-301339001003747-101328011011838-20150.2885597152037551373597558588572167172254515211642314.02%1713877.78%0879193845.36%809204239.62%41999242.24%156710811735490804394

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6846L2165295460172618255551065145414
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6818422402165212
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
341021020195109
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34821220170103
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3634612.67%4267582.39%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
558588572167551373
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
879193845.36%809204239.62%41999242.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
156710811735490804394


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 - 2018-09-078Heat5Condors2LSommaire du Match
4 - 2018-09-0822Barracuda4Condors0LSommaire du Match
8 - 2018-09-1231Condors3Barracuda5LSommaire du Match
11 - 2018-09-1557Roadrunners2Condors1LSommaire du Match
18 - 2018-09-2294Condors1Gulls4LSommaire du Match
25 - 2018-09-29129Heat5Condors2LSommaire du Match
29 - 2018-10-03138Condors2Heat3LSommaire du Match
32 - 2018-10-06166Stars4Condors2LSommaire du Match
33 - 2018-10-07171Rampage4Condors1LSommaire du Match
37 - 2018-10-11179Condors1Wild3LSommaire du Match
39 - 2018-10-13202Condors0Wild6LSommaire du Match
45 - 2018-10-19233Condors1Gulls6LSommaire du Match
46 - 2018-10-20248Eagles5Condors1LSommaire du Match
49 - 2018-10-23256Eagles4Condors3LSommaire du Match
52 - 2018-10-26275Condors3Reign4LXSommaire du Match
53 - 2018-10-27289Roadrunners2Condors0LSommaire du Match
58 - 2018-11-01307Reign4Condors3LXSommaire du Match
60 - 2018-11-03331Moose1Condors4WSommaire du Match
64 - 2018-11-07347Moose5Condors7WSommaire du Match
67 - 2018-11-10376Barracuda4Condors5WSommaire du Match
68 - 2018-11-11380Condors2Barracuda4LSommaire du Match
73 - 2018-11-16400Gulls3Condors2LSommaire du Match
74 - 2018-11-17413Condors3Heat2WXSommaire du Match
78 - 2018-11-21433Condors1Heat2LXXSommaire du Match
80 - 2018-11-23446Condors0Eagles4LSommaire du Match
81 - 2018-11-24463Condors1Eagles2LXSommaire du Match
86 - 2018-11-29475Condors2Gulls3LSommaire du Match
88 - 2018-12-01498Gulls3Condors2LSommaire du Match
90 - 2018-12-03510Condors4Reign1WSommaire du Match
92 - 2018-12-05517Gulls2Condors0LSommaire du Match
94 - 2018-12-07528Eagles2Condors1LSommaire du Match
95 - 2018-12-08544Roadrunners4Condors3LSommaire du Match
99 - 2018-12-12557Condors1Stars0WSommaire du Match
101 - 2018-12-14572Condors1Eagles2LSommaire du Match
102 - 2018-12-15587Condors1Eagles0WSommaire du Match
106 - 2018-12-19603Heat6Condors5LXSommaire du Match
108 - 2018-12-21615Heat3Condors2LSommaire du Match
109 - 2018-12-22630Condors1Gulls2LSommaire du Match
111 - 2018-12-24643Condors4Barracuda2WSommaire du Match
113 - 2018-12-26652Eagles4Condors2LSommaire du Match
115 - 2018-12-28666Condors0Roadrunners1LSommaire du Match
116 - 2018-12-29669Condors4Roadrunners2WSommaire du Match
122 - 2019-01-04694Wild0Condors7WSommaire du Match
123 - 2019-01-05708Condors6Reign2WSommaire du Match
129 - 2019-01-11732Barracuda3Condors2LXXSommaire du Match
130 - 2019-01-12747Gulls3Condors1LSommaire du Match
134 - 2019-01-16768Heat2Condors4WSommaire du Match
136 - 2019-01-18778Condors3Reign2WSommaire du Match
137 - 2019-01-19792Reign0Condors7WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26838Condors2Roadrunners1WXSommaire du Match
146 - 2019-01-28846Condors3Roadrunners4LSommaire du Match
150 - 2019-02-01865Wild3Condors5WSommaire du Match
151 - 2019-02-02881Barracuda6Condors2LSommaire du Match
155 - 2019-02-06895Condors1Barracuda2LSommaire du Match
157 - 2019-02-08909Condors1Heat3LSommaire du Match
158 - 2019-02-09920Condors0Barracuda2LSommaire du Match
162 - 2019-02-13942Gulls5Condors3LSommaire du Match
165 - 2019-02-16966Reign1Condors4WSommaire du Match
171 - 2019-02-22993Condors5Reign3WSommaire du Match
176 - 2019-02-271025Reign1Condors3WSommaire du Match
178 - 2019-03-011036Condors2Gulls7LSommaire du Match
179 - 2019-03-021051Barracuda3Condors1LSommaire du Match
182 - 2019-03-051061Condors3Moose4LSommaire du Match
183 - 2019-03-061068Condors2Moose4LSommaire du Match
186 - 2019-03-091096Condors3Rampage6LSommaire du Match
190 - 2019-03-131111Roadrunners1Condors4WSommaire du Match
193 - 2019-03-161140Reign5Condors4LSommaire du Match
194 - 2019-03-171150Condors3Heat5LSommaire 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
183,924$ 86,000$ 52,510$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 83,895$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 959$ 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
1368184202402165212-473410210020195109-14348210220170103-33461652954601475513731726558588572161825555106514543634612.67%4267582.39%2879193845.36%809204239.62%41999242.24%156710811735490804394
Total Saison Régulière68184202402165212-473410210020195109-14348210220170103-33461652954601475513731726558588572161825555106514543634612.67%4267582.39%2879193845.36%809204239.62%41999242.24%156710811735490804394
Séries
12624000001622-631200000811-331200000811-341629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
12624000001622-631200000811-331200000811-341629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
Total Séries1248000003244-12624000001622-6624000001622-6832589040124142270987692431696172206601016.67%681085.29%013232840.24%12031438.22%6219831.31%2581723289314970