Condors

GP: 45 | W: 14 | L: 29 | OTL: 2 | P: 30
GF: 84 | GA: 113 | PP%: 12.13% | PK%: 86.15%
DG: Christian Nolet | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #500 vs Monsters
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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 SPÂgeContratSalaire
1Brian GibbonsXX100.006541917061557055255055705364656050003211,000,000$
2Mason MarchmentX100.007477676077595961505167636444446350002511,000,000$
3Matt LuffX100.00734396647156765926675758254949635000232677,777$
4Dennis Yan (R)X100.00757282637266695650475865555252605000233935,833$
5Gabriel Fontaine (R)X100.00777190517158615063474664445050545000233736,667$
6Mason Shaw (R)X100.00716486586462645569485760544444585000213925,000$
7Philipp Kurashev (R)X100.00777092667064665974575764544444625000203925,000$
8Dennis GilbertX100.00999952617767745825494881254646615000233987,500$
9Oscar FantenbergX100.00844594767368676025514886255859634300283900,000$
10Frederic Allard (R)X100.00736690616673795125464062385050545000223921,666$
11Korbinian HolzerX100.00855878687969615625454786256161615000323875,000$
12Zach RedmondX100.00797687657671765525514168395959575000311612,500$
13Ben HarpurX100.00818572658561645125443968375959545000254725,000$
Rayé
1Carl GrundstromXX100.00874582767063796325755559254646655600222925,000$
MOYENNE D'ÉQUIPE100.0079658365726469563852516840525260500
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
1Brian Elliott100.0063626380675964646463767173644800
2Thomas Greiss100.0077706983807472798377956566763500
Rayé
1Christopher Gibson100.0060637972626553636159304545605000
MOYENNE D'ÉQUIPE100.006765707870666369696667606167440
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard70696475706580CAN483900,000$


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
1Philipp KurashevCondors (EDM)C451815335555847378125123.08%577217.179615241980000343057.27%77700000.8500001532
2Dennis GilbertCondors (EDM)D4532023-1013210161504917346.12%4191520.3431013361930001170110.00%000000.5000011121
3Dennis YanCondors (EDM)LW4581321-6415583763144212.70%669215.38156753000091045.45%4400000.6100000101
4Korbinian HolzerCondors (EDM)D4531720-13620103567321604.11%68100722.3921012602180111199100.00%000000.4000000002
5Mason MarchmentCondors (EDM)LW4591019-1520914460204015.00%763414.1012331610131014133.33%5700000.6000000043
6Ben HarpurCondors (EDM)D454141836207918207920.00%2677817.2932515850001110000.00%000000.4600000200
7Brian GibbonsCondors (EDM)C/LW4531114-222029625619445.36%579017.57112151980002670035.19%5400000.3501000020
8Matt LuffCondors (EDM)RW459413-3360454258114215.52%187819.520112019400001331023.53%5100000.3000000023
9Zach RedmondCondors (EDM)D4521113-151801752329116.25%2697621.71189262060001213000.00%000000.2700000002
10Brandon PirriOilersC/LW/RW362810-1324039404514394.44%476121.161451816700011640054.07%17200000.2601000000
11Mason ShawCondors (EDM)C45639-612010253382118.18%33888.63202752000001059.87%15200000.4600000001
12Frederic AllardCondors (EDM)D450444560712682110.00%3876717.060113280000105000.00%000000.1000000000
13Gabriel FontaineCondors (EDM)C45044-11601922113160.00%53868.590331540110750049.32%7300000.2100000000
14Jayce HawrylukOilersC/RW17224-1122054421942010.53%036921.762135830000780036.52%40800000.2200000100
Stats d'équipe Total ou en Moyenne59369136205-696102086058960516144011.40%2351012017.07265480240175212310146712249.44%178800000.4102012101315
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
1Brian ElliottCondors (EDM)29121510.8941.93171025555170100.66732814312
2Christopher GibsonCondors (EDM)111910.8483.3363100352300000.00001125000
Stats d'équipe Total ou en Moyenne40132420.8802.31234225907470100.66733939312


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Ben HarpurCondors (EDM)D251995-01-12No222 Lbs6 ft6NoNoNo4Pro & Farm725,000$321,573$725,000$321,573$0$0$No725,000$725,000$725,000$Lien
Brian ElliottCondors (EDM)G351985-04-09No209 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Brian GibbonsCondors (EDM)C/LW321988-02-05No175 Lbs5 ft8NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Carl GrundstromCondors (EDM)LW/RW221997-12-01No194 Lbs6 ft0NoNoNo2Pro & Farm925,000$410,282$450,000$199,597$0$0$No925,000$Lien
Christopher GibsonCondors (EDM)G271992-12-27No188 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Dennis GilbertCondors (EDM)D231996-10-30No198 Lbs6 ft2NoNoNo3Pro & Farm987,500$438,004$925,000$410,282$0$0$No925,000$925,000$Lien
Dennis YanCondors (EDM)LW231997-04-14Yes197 Lbs6 ft1NoNoNo3Pro & Farm935,833$415,087$935,833$415,087$0$0$No935,833$935,833$
Frederic AllardCondors (EDM)D221997-12-27Yes179 Lbs6 ft1NoNoNo3Pro & Farm921,666$408,803$921,666$408,803$0$0$No921,666$921,666$
Gabriel FontaineCondors (EDM)C231997-04-30Yes191 Lbs6 ft1NoNoNo3Pro & Farm736,667$326,747$736,667$326,747$0$0$No736,667$736,667$
Korbinian HolzerCondors (EDM)D321988-02-16No214 Lbs6 ft3NoNoNo3Pro & Farm875,000$388,105$850,000$377,016$0$0$No850,000$850,000$Lien
Mason MarchmentCondors (EDM)LW251995-03-06No204 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Mason ShawCondors (EDM)C211998-11-02Yes180 Lbs5 ft9NoNoNo3Pro & Farm925,000$410,282$925,000$410,282$0$0$No925,000$925,000$
Matt LuffCondors (EDM)RW231997-05-04No188 Lbs6 ft3NoNoNo2Pro & Farm677,777$300,627$677,777$300,627$0$0$No677,777$Lien
Oscar FantenbergCondors (EDM)D281991-10-07No203 Lbs6 ft0NoNoNo3Pro & Farm900,000$399,194$850,000$377,016$0$0$No850,000$850,000$Lien
Philipp KurashevCondors (EDM)C201999-10-12Yes192 Lbs6 ft0NoNoNo3Pro & Farm925,000$410,282$925,000$410,282$0$0$No925,000$925,000$
Thomas GreissCondors (EDM)G341986-01-29No227 Lbs6 ft1NoNoNo1Pro & Farm3,333,333$1,478,494$3,333,333$1,478,494$0$0$NoLien
Zach RedmondCondors (EDM)D311988-07-25No208 Lbs6 ft2NoNoNo1Pro & Farm612,500$271,673$612,500$271,673$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1726.24198 Lbs6 ft12.241,028,252$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brian GibbonsMatt Luff35122
2Dennis YanPhilipp KurashevMason Shaw30122
3Mason MarchmentGabriel Fontaine25122
4Mason ShawMatt Luff10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerZach Redmond35122
2Dennis GilbertBen Harpur30122
3Frederic Allard25122
4Korbinian HolzerZach Redmond10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brian GibbonsMatt Luff60122
2Dennis YanPhilipp KurashevMason Shaw40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerZach Redmond60122
2Dennis GilbertBen Harpur40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt Luff60122
2Philipp KurashevBrian Gibbons40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerZach Redmond60122
2Dennis GilbertBen Harpur40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Korbinian HolzerZach Redmond60122
2Matt Luff40122Dennis GilbertBen Harpur40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt Luff60122
2Philipp KurashevBrian Gibbons40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerZach Redmond60122
2Dennis GilbertBen Harpur40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brian GibbonsMatt LuffKorbinian HolzerZach Redmond
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brian GibbonsMatt LuffKorbinian HolzerZach Redmond
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Mason Marchment, Gabriel Fontaine, Mason MarchmentGabriel Fontaine
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Frederic Allard, Dennis Gilbert, Ben HarpurFrederic AllardDennis Gilbert, Ben Harpur
Tirs de Pénalité
, Matt Luff, Philipp Kurashev, Brian Gibbons,
Gardien
#1 : , #2 : Brian Elliott


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
1Admirals825000011422-84220000089-140300001613-750.31314243800342723014527323224751474710617256916.07%46686.96%0570119947.54%532124542.73%29663946.32%9836421155351567276
2Flames51400000713-63030000028-62110000055020.20071320013427230692732322475913679982700.00%34391.18%0570119947.54%532124542.73%29663946.32%9836421155351567276
3IceHogs2020000037-41010000013-21010000024-200.0003470034272303327323224753683242800.00%14471.43%0570119947.54%532124542.73%29663946.32%9836421155351567276
4Monarchs624000001015-53210000065130300000410-640.333102030013427230106273232247513231921023026.67%44881.82%0570119947.54%532124542.73%29663946.32%9836421155351567276
5Moose63300000911-22020000026-44310000075260.50091625013427230752732322475107348910746510.87%40782.50%0570119947.54%532124542.73%29663946.32%9836421155351567276
6Rampage11000000505000000000001100000050521.0005813013427230232732322475201210176233.33%50100.00%0570119947.54%532124542.73%29663946.32%9836421155351567276
7Rocket11000000431110000004310000000000021.000471100342723019273232247526814185240.00%6183.33%0570119947.54%532124542.73%29663946.32%9836421155351567276
8Sharks715001001117-63030000038-54120010089-130.2141120310134272301122732322475145431121673937.69%55492.73%0570119947.54%532124542.73%29663946.32%9836421155351567276
9Soldiers422000001213-13120000079-21100000054140.5001222340034272307827323224756126508729517.24%21480.95%1570119947.54%532124542.73%29663946.32%9836421155351567276
10Sound Tigers11000000404110000004040000000000021.00047110134272302127323224751656285240.00%20100.00%0570119947.54%532124542.73%29663946.32%9836421155351567276
11Stars1010000012-1000000000001010000012-100.0001230034272301627323224752136287114.29%20100.00%0570119947.54%532124542.73%29663946.32%9836421155351567276
Total4514290010184113-2922715000003855-1723714001014658-12300.3338415123506342723075427323224758642736679162723312.13%2964186.15%1570119947.54%532124542.73%29663946.32%9836421155351567276
12Wolf Pack2020000027-51010000014-31010000013-200.000246003427230342732322475521342348112.50%21385.71%0570119947.54%532124542.73%29663946.32%9836421155351567276
13Wolves1010000023-1000000000001010000023-100.00024600342723023273232247510729166116.67%6183.33%0570119947.54%532124542.73%29663946.32%9836421155351567276
_Since Last GM Reset4514290010184113-2922715000003855-1723714001014658-12300.3338415123506342723075427323224758642736679162723312.13%2964186.15%1570119947.54%532124542.73%29663946.32%9836421155351567276
_Vs Conference371223001017190-1917611000003140-920612001014050-10260.3517112719805342723063227323224756952165327662323012.93%2353485.53%1570119947.54%532124542.73%29663946.32%9836421155351567276
_Vs Division32917001015178-271558000002136-151749001013042-12200.31351931440434272305072732322475622191478646198199.60%2192887.21%0570119947.54%532124542.73%29663946.32%9836421155351567276

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4530W18415123575486427366791606
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
451429010184113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2271500003855
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2371401014658
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2723312.13%2964186.15%1
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
27323224753427230
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
570119947.54%532124542.73%29663946.32%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9836421155351567276


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
1 - 2020-09-277Condors2IceHogs4LSommaire du Match
2 - 2020-09-2820Moose4Condors2LSommaire du Match
4 - 2020-09-3032Flames4Condors1LSommaire du Match
5 - 2020-10-0142Condors2Admirals3LSommaire du Match
6 - 2020-10-0246Condors3Monarchs7LSommaire du Match
8 - 2020-10-0459Condors2Flames0WSommaire du Match
10 - 2020-10-0668Admirals2Condors4WSommaire du Match
12 - 2020-10-0878Monarchs2Condors3WSommaire du Match
14 - 2020-10-1092Condors2Moose1WSommaire du Match
16 - 2020-10-12106Sharks1Condors0LSommaire du Match
18 - 2020-10-14118Monarchs3Condors1LSommaire du Match
21 - 2020-10-17132Soldiers3Condors1LSommaire du Match
22 - 2020-10-18144Condors2Moose0WSommaire du Match
23 - 2020-10-19150Condors1Admirals4LSommaire du Match
24 - 2020-10-20162Condors1Sharks2LSommaire du Match
25 - 2020-10-21165Condors0Monarchs1LSommaire du Match
26 - 2020-10-22175Admirals1Condors2WSommaire du Match
28 - 2020-10-24193Flames2Condors1LSommaire du Match
30 - 2020-10-26204Condors1Stars2LSommaire du Match
32 - 2020-10-28213Condors2Moose1WSommaire du Match
34 - 2020-10-30221Sharks4Condors1LSommaire du Match
36 - 2020-11-01233Sharks3Condors2LSommaire du Match
38 - 2020-11-03246Condors2Wolves3LSommaire du Match
40 - 2020-11-05254Flames2Condors0LSommaire du Match
42 - 2020-11-07267Condors5Rampage0WSommaire du Match
44 - 2020-11-09277IceHogs3Condors1LSommaire du Match
45 - 2020-11-10288Condors5Soldiers4WSommaire du Match
46 - 2020-11-11297Sound Tigers0Condors4WSommaire du Match
48 - 2020-11-13313Monarchs0Condors2WSommaire du Match
49 - 2020-11-14322Condors1Sharks3LSommaire du Match
51 - 2020-11-16335Condors2Admirals3LXXSommaire du Match
52 - 2020-11-17345Admirals4Condors1LSommaire du Match
53 - 2020-11-18359Soldiers4Condors3LSommaire du Match
54 - 2020-11-19367Condors1Admirals3LSommaire du Match
55 - 2020-11-20378Admirals2Condors1LSommaire du Match
56 - 2020-11-21387Condors3Flames5LSommaire du Match
58 - 2020-11-23398Condors1Monarchs2LSommaire du Match
59 - 2020-11-24412Soldiers2Condors3WSommaire du Match
61 - 2020-11-26425Moose2Condors0LSommaire du Match
62 - 2020-11-27433Condors1Wolf Pack3LSommaire du Match
64 - 2020-11-29445Wolf Pack4Condors1LSommaire du Match
65 - 2020-11-30453Condors3Sharks4LXSommaire du Match
66 - 2020-12-01466Rocket3Condors4WSommaire du Match
68 - 2020-12-03481Condors1Moose3LSommaire du Match
69 - 2020-12-04488Condors3Sharks0WSommaire du Match
71 - 2020-12-06500Monsters-Condors-
72 - 2020-12-07510Condors-Monsters-
74 - 2020-12-09521Senators-Condors-
75 - 2020-12-10533Condors-Soldiers-
76 - 2020-12-11543Bruins-Condors-
78 - 2020-12-13556Condors-Phantoms-
79 - 2020-12-14564Sound Tigers-Condors-
80 - 2020-12-15574Condors-IceHogs-
81 - 2020-12-16584Rampage-Condors-
83 - 2020-12-18597Condors-Bruins-
85 - 2020-12-20609IceHogs-Condors-
86 - 2020-12-21617Condors-Wolves-
87 - 2020-12-22627Monarchs-Condors-
89 - 2020-12-24641Condors-Sound Tigers-
91 - 2020-12-26651Sharks-Condors-
93 - 2020-12-28668Griffins-Condors-
94 - 2020-12-29675Condors-Rocket-
95 - 2020-12-30688Penguins-Condors-
96 - 2020-12-31697Condors-Crunch-
97 - 2021-01-01709Crunch-Condors-
99 - 2021-01-03720Condors-Penguins-
100 - 2021-01-04732Flames-Condors-
101 - 2021-01-05738Condors-Stars-
103 - 2021-01-07753Wolves-Condors-
104 - 2021-01-08759Condors-Monarchs-
105 - 2021-01-09775Condors-Marlies-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10784Condors-Senators-
107 - 2021-01-11792Soldiers-Condors-
109 - 2021-01-13806Stars-Condors-
110 - 2021-01-14815Condors-Griffins-
112 - 2021-01-16827Phantoms-Condors-
114 - 2021-01-18842Moose-Condors-
117 - 2021-01-21862Marlies-Condors-
118 - 2021-01-22872Condors-Flames-
120 - 2021-01-24884Moose-Condors-
121 - 2021-01-25892Condors-Flames-
122 - 2021-01-26898Condors-Rampage-



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
19 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,452,880$ 1,748,028$ 1,686,778$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 952,078$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 55 21,355$ 1,174,525$




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