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OTHL - Condors 

Condors

GP: 8 | W: 7 | L: 1 | OTL: 0 | P: 14
GF: 40 | GA: 17 | PP%: 21.74% | PK%: 90.00%
DG: Scott | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #128 vs Moose
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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
1Nick SchmaltzXXX100.005740938465787682688271572556567250690
2Luke Kunin (R)XX100.007956848170738266566762752552526950670
3Joey Anderson (R)X100.007743937069646063505962792547476750630
4Dominic ToninatoX100.007675787675758060755460675755556450630
5Adam Johnson (R)XX100.007164876264838862785962625944446550620
6Adam Gaudette (R)X100.007342897765587466666159532550506350610
7John HaydenXX100.008380857383548060345457652556566350610
8Eric Robinson (R)XX100.008345996275616561255055652545456050580
9Ryan Kuffner (R)X100.006342996071584862265055612544445850550
10Ryan GravesX100.007745977282568556254853782546466450650
11Jeremy Lauzon (R)X100.007343956574686658254048772549495950630
12Jarred TinordiX100.008288696588768449253943654148485550620
13Anthony BitettoX100.008746897077595656254847607561625850610
14Erik BurgdoerferX100.007775806875768449254041643952525550610
15Mitch Reinke (R)X100.007466916666697258255249634744445950600
16Zach Whitecloud (R)X100.007876846276667150254541633944445450590
17Dennis Gilbert (R)X100.007273716173636847253741593944445150560
Rayé
MOYENNE D'ÉQUIPE100.00755987697367735940525365374949615062
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
1Ryan Miller100.00595458695068646382608779826350650
2Scott Wedgewood100.00586683765664546260593054546050610
Rayé
1Zane McIntyre100.00577594795159586456563044445950600
2Kaden Fulcher (R)100.00435569744044404640403044444450480
MOYENNE D'ÉQUIPE100.0054637675495954596054445556575059
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Halpern68707444454658USA431700,000$


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

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# 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
1Nick SchmaltzCondors (EDM)C/LW/RW89101911401639122323.08%118723.432246190002283075.00%4000022.0301000120
2Luke KuninCondors (EDM)C/RW831316121552052982010.34%316220.280223180000110057.89%1900001.9701001102
3Anthony CirelliOilersC6761376012114483515.91%113322.291344150002201078.52%14900011.9400000211
4Adam GaudetteCondors (EDM)C853862081827121518.52%112715.9700002000030076.47%8500011.2500000100
5Joey AndersonCondors (EDM)RW74373405635142311.43%214020.031016140000111080.00%500001.0001000010
6Dominic ToninatoCondors (EDM)C825724014102091910.00%016220.300001160000131079.02%14300000.8601000011
7John HaydenCondors (EDM)LW/RW8257410018920101610.00%114317.910112150000000100.00%600000.9800000001
8Ryan KuffnerCondors (EDM)LW824664011134515.38%012715.9300000000000071.43%700000.9400000001
9Noah HanifinOilersD60553201067230.00%812220.4801141600002200 0.00%000000.8100000000
10Anthony BitettoCondors (EDM)D80441040912060.00%211314.18000130000600 0.00%000000.7100000000
11Eric RobinsonCondors (EDM)LW/RW82245201441941910.53%113216.5700002000080062.50%800000.6000000100
12Mitch ReinkeCondors (EDM)D81234008333133.33%2759.49000000000100 0.00%000000.7900000000
13Ryan GravesCondors (EDM)D812326057102310.00%516020.1010121800002300 0.00%000000.3700000000
14Jeremy LauzonCondors (EDM)D8033300616170.00%715819.8000021700002300 0.00%000000.3800000010
15Jarred TinordiCondors (EDM)D80336401417240.00%115118.9100011800002100 0.00%000000.4000000000
16Erik BurgdoerferCondors (EDM)D812312209122250.00%310713.47000000000600 0.00%000000.5600000001
17Zach WhitecloudCondors (EDM)D8011000401100.00%0658.18000000000100 0.00%000000.3100000000
18Adam JohnsonCondors (EDM)C/LW1000000004120.00%02121.77000010000100100.00%200000.0011000000
19Dennis GilbertCondors (EDM)D800000020001 0.00%0192.38000000000000 0.00%000000.0000000000
Stats d'équipe Total ou en Moyenne140397311296695160902889520413.54%38231316.5359143218400042076077.16%46400040.9715001667
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
1Ryan MillerCondors (EDM)11000.8571.8565002140001.000510000
Stats d'équipe Total ou en Moyenne11000.8571.8565002140001.000510000


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 GaudetteCondors (EDM)C231996-10-02Yes170 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,491,666$0$0$NoLien
Adam JohnsonCondors (EDM)C/LW251994-06-22Yes174 Lbs6 ft0YesNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Anthony BitettoCondors (EDM)D291990-07-14No210 Lbs6 ft1YesNoNo3Sans RestrictionPro & Farm800,000$0$0$NoLien
Dennis GilbertCondors (EDM)D231996-10-30Yes198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm925,000$0$0$NoLien
Dominic ToninatoCondors (EDM)C251994-03-08No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Eric RobinsonCondors (EDM)LW/RW241995-06-14Yes201 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien
Erik BurgdoerferCondors (EDM)D301988-12-11No207 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Jarred TinordiCondors (EDM)D271992-02-20No230 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Jeremy LauzonCondors (EDM)D221997-04-28Yes204 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm871,666$0$0$NoLien
Joey AndersonCondors (EDM)RW211998-06-19Yes190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm925,000$0$0$NoLien
John HaydenCondors (EDM)LW/RW241995-02-14No223 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Kaden FulcherCondors (EDM)G211998-09-23Yes183 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm716,666$0$0$NoLien
Luke KuninCondors (EDM)C/RW211997-12-04Yes193 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,425,000$0$0$NoLien
Mitch ReinkeCondors (EDM)D231996-02-04Yes181 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Nick SchmaltzCondors (EDM)C/LW/RW231996-02-23No177 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,541,667$0$0$NoLien
Ryan GravesCondors (EDM)D241995-05-20No216 Lbs6 ft5YesNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Ryan KuffnerCondors (EDM)LW231996-06-11Yes194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Ryan MillerCondors (EDM)G391980-07-17No173 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm5,000,000$0$0$NoLien
Scott WedgewoodCondors (EDM)G271992-08-14No195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Zach WhitecloudCondors (EDM)D221996-11-27Yes209 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,491,666$0$0$NoLien
Zane McIntyreCondors (EDM)G271992-08-20No206 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.90197 Lbs6 ft22.101,173,254$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adam JohnsonNick SchmaltzLuke Kunin40122
2John HaydenDominic ToninatoJoey Anderson30122
3Eric RobinsonAdam GaudetteRyan Kuffner20122
4Ryan KuffnerNick SchmaltzLuke Kunin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesJeremy Lauzon40122
2Jarred TinordiAnthony Bitetto30122
3Erik BurgdoerferMitch Reinke20122
4Zach WhitecloudDennis Gilbert10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adam JohnsonNick SchmaltzLuke Kunin60122
2John HaydenDominic ToninatoJoey Anderson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesJeremy Lauzon60122
2Jarred TinordiAnthony Bitetto40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick SchmaltzLuke Kunin60122
2Dominic ToninatoJoey Anderson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesJeremy Lauzon60122
2Jarred TinordiAnthony Bitetto40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Schmaltz60122Ryan GravesJeremy Lauzon60122
2Luke Kunin40122Jarred TinordiAnthony Bitetto40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick SchmaltzLuke Kunin60122
2Dominic ToninatoJoey Anderson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesJeremy Lauzon60122
2Jarred TinordiAnthony Bitetto40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adam JohnsonNick SchmaltzLuke KuninRyan GravesJeremy Lauzon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adam JohnsonNick SchmaltzLuke KuninRyan GravesJeremy Lauzon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Gaudette, Eric Robinson, Adam JohnsonAdam Gaudette, Eric RobinsonAdam Johnson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Erik Burgdoerfer, Mitch Reinke, Zach WhitecloudErik BurgdoerferMitch Reinke, Zach Whitecloud
Tirs de Pénalité
Nick Schmaltz, Luke Kunin, Dominic Toninato, Joey Anderson, Adam Johnson
Gardien
#1 : Ryan Miller, #2 : Scott Wedgewood


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
1Comets11000000422110000004220000000000021.00048120017111112311110176527625197114.29%100100.00%019824879.84%8211770.09%9012770.87%31225491318153
2Devils11000000615000000000001100000061521.0006111700171111134111101765162820000.00%40100.00%019824879.84%8211770.09%9012770.87%31225491318153
3Griffins10000010321100000103210000000000021.00033600171111140111101765147419100.00%10100.00%019824879.84%8211770.09%9012770.87%31225491318153
4IceHogs1010000029-7000000000001010000029-700.00024600171111122111101765321412146116.67%6350.00%019824879.84%8211770.09%9012770.87%31225491318153
5Phantoms11000000835110000008350000000000021.0008152300171111132111101765177829200.00%40100.00%019824879.84%8211770.09%9012770.87%31225491318153
6Reign11000000404110000004040000000000021.00048120117111114911110176552415200.00%20100.00%019824879.84%8211770.09%9012770.87%31225491318153
7Sound Tigers11000000505000000000001100000050521.00059140117111114811110176511043022100.00%20100.00%019824879.84%8211770.09%9012770.87%31225491318153
Total86100010401723430000101971243100000211011140.8754073113031711111288111101765126386916023521.74%30390.00%019824879.84%8211770.09%9012770.87%31225491318153
9Wolf Pack11000000808000000000001100000080821.0008152301171111140111101765404143133.33%10100.00%019824879.84%8211770.09%9012770.87%31225491318153
_Since Last GM Reset86100010401723430000101971243100000211011140.8754073113031711111288111101765126386916023521.74%30390.00%019824879.84%8211770.09%9012770.87%31225491318153
_Vs Conference2110000069-3110000004041010000029-720.5006121801171111171111101765371616298112.50%8362.50%019824879.84%8211770.09%9012770.87%31225491318153

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
814SOW14073113288126386916003
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
86100104017
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4300010197
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
43100002110
Derniers 10 Matchs
WLOTWOTL SOWSOL
610010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
23521.74%30390.00%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
1111017651711111
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
19824879.84%8211770.09%9012770.87%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
31225491318153


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 - 2019-10-041Comets2Condors4WSommaire du Match
4 - 2019-10-0723Reign0Condors4WSommaire du Match
7 - 2019-10-1040Condors5Sound Tigers0WSommaire du Match
9 - 2019-10-1252Condors6Devils1WSommaire du Match
11 - 2019-10-1471Condors8Wolf Pack0WSommaire du Match
13 - 2019-10-1680Condors2IceHogs9LSommaire du Match
15 - 2019-10-1894Phantoms3Condors8WSommaire du Match
17 - 2019-10-20109Griffins2Condors3WXXSommaire du Match
19 - 2019-10-22128Condors-Moose-
21 - 2019-10-24139Condors-Wild-
23 - 2019-10-26149Bears-Condors-
26 - 2019-10-29172Thunderbirds-Condors-
28 - 2019-10-31183Condors-Griffins-
29 - 2019-11-01189Condors-Monsters-
32 - 2019-11-04215Condors-Penguins-
34 - 2019-11-06222Roadrunners-Condors-
36 - 2019-11-08235Rampage -Condors-
38 - 2019-11-10250Devils-Condors-
40 - 2019-11-12263Condors-Gulls-
42 - 2019-11-14277Condors-Barracudas-
44 - 2019-11-16288Eagles-Condors-
46 - 2019-11-18302Stars-Condors-
49 - 2019-11-21328Condors-Barracudas-
51 - 2019-11-23340Condors-Reign-
53 - 2019-11-25359Condors-Wolves-
54 - 2019-11-26362Condors-Roadrunners-
57 - 2019-11-29380Condors-Eagles-
60 - 2019-12-02407Comets-Condors-
61 - 2019-12-03418Condors-Comets-
64 - 2019-12-06434Senators-Condors-
66 - 2019-12-08448Reign-Condors-
68 - 2019-12-10464 Americans-Condors-
70 - 2019-12-12475Checkers-Condors-
72 - 2019-12-14493Condors-Wild-
74 - 2019-12-16504Marlies-Condors-
76 - 2019-12-18520Condors-Stars-
78 - 2019-12-20537Condors-Rampage -
80 - 2019-12-22548Penguins-Condors-
81 - 2019-12-23557Rocket-Condors-
83 - 2019-12-25579Condors-Comets-
87 - 2019-12-29586Heat-Condors-
91 - 2020-01-02620Wolf Pack-Condors-
93 - 2020-01-04629Condors- Americans-
95 - 2020-01-06642Condors-Bruins-
97 - 2020-01-08662Condors-Marlies-
100 - 2020-01-11683Condors-Rocket-
102 - 2020-01-13694Condors-Heat-
105 - 2020-01-16718Admirals-Condors-
109 - 2020-01-20746Roadrunners-Condors-
120 - 2020-01-31778Heat-Condors-
122 - 2020-02-02787Rampage -Condors-
123 - 2020-02-03794Condors-Heat-
126 - 2020-02-06812Condors-Roadrunners-
128 - 2020-02-08830Barracudas-Condors-
130 - 2020-02-10845Admirals-Condors-
133 - 2020-02-13870IceHogs-Condors-
135 - 2020-02-15888Condors-Crunch-
137 - 2020-02-17899Condors-Thunderbirds-
138 - 2020-02-18907Condors-Checkers-
141 - 2020-02-21931Bruins-Condors-
143 - 2020-02-23946Wild-Condors-
145 - 2020-02-25963Condors-Reign-
147 - 2020-02-27968Condors-Gulls-
148 - 2020-02-28983Condors-Wolves-
151 - 2020-03-021000Moose-Condors-
153 - 2020-03-041018Condors-Admirals-
154 - 2020-03-051020Condors-Stars-
156 - 2020-03-071034Condors-IceHogs-
158 - 2020-03-091051Monsters-Condors-
160 - 2020-03-111067Wolves-Condors-
162 - 2020-03-131081Moose-Condors-
164 - 2020-03-151096Sound Tigers-Condors-
166 - 2020-03-171113Condors-Phantoms-
167 - 2020-03-181122Condors-Bears-
169 - 2020-03-201135Condors-Senators-
171 - 2020-03-221149Crunch-Condors-
174 - 2020-03-251171Gulls-Condors-
176 - 2020-03-271187Eagles-Condors-
178 - 2020-03-291200Barracudas-Condors-
180 - 2020-03-311218Gulls-Condors-
182 - 2020-04-021232Wolves-Condors-
186 - 2020-04-061260Condors-Heat-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets700
Assistance5,8332,997
Assistance PCT72.91%74.93%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 2208 - 73.58% 102,078$408,310$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
318,010$ 2,463,835$ 2,463,835$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
13,246$ 254,036$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,776,868$ 169 17,010$ 2,874,690$





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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
201986100010401723430000101971243100000211011144073113031711111288111101765126386916023521.74%30390.00%019824879.84%8211770.09%9012770.87%31225491318153
Total Saison Régulière86100010401723430000101971243100000211011144073113031711111288111101765126386916023521.74%30390.00%019824879.84%8211770.09%9012770.87%31225491318153