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Condors
GP: 18 | W: 15 | L: 3 | OTL: 0 | P: 30
GF: 118 | GA: 27 | PP%: 20.97% | PK%: 92.77%
DG: Scott | Morale : 50 | Moyenne d’équipe : 63
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Centre de jeu
Condors
15-3-0, 30pts
10
FINAL
0 Firebirds
5-12-1, 11pts
Team Stats
W3StreakL4
8-1-0Home Record1-8-0
7-2-0Away Record4-4-1
8-2-0Last 10 Games4-6-0
6.56Buts par match 3.39
1.50Buts contre par match 6.50
20.97%Pourcentage en avantage numérique9.68%
92.77%Pourcentage en désavantage numérique87.10%
Firebirds
5-12-1, 11pts
0
FINAL
7 Condors
15-3-0, 30pts
Team Stats
L4StreakW3
1-8-0Home Record8-1-0
4-4-1Away Record7-2-0
4-6-0Last 10 Games8-2-0
3.39Buts par match 6.56
6.50Buts contre par match 1.50
9.68%Pourcentage en avantage numérique20.97%
87.10%Pourcentage en désavantage numérique92.77%
Meneurs d'équipe
Buts
Wyatt Johnston
20
Passes
Ty Dellandrea
20
Points
Wyatt Johnston
36
Plus/Moins
Nikita Okhotyuk
35
Victoires
Samuel Ersson
14
Pourcentage d’arrêts
Samuel Ersson
0.896

Statistiques d’équipe
Buts pour
118
6.56 GFG
Tirs pour
661
36.72 Avg
Pourcentage en avantage numérique
21.0%
13 GF
Début de zone offensive
45.9%
Buts contre
27
1.50 GAA
Tirs contre
258
14.33 Avg
Pourcentage en désavantage numérique
92.8%%
6 GA
Début de la zone défensive
28.7%
Informations de l'équipe

Directeur généralScott
EntraîneurJeff Halpern
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs33


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
1Michael RasmussenXXX100.0086577875856985637977717625646474507002421,460,000$
2Wyatt Johnston (R)X100.0061419182667292695566806925555575506802031,000,417$
3Maxime ComtoisX100.0078876870806780685163666753636368506602411,000,000$
4Dominic ToninatoXXX100.007672857672798364805665706263646850660291850,000$
5John HaydenXX100.007984677884707265805865726264646850660282750,000$
6Ty DellandreaXXX100.0080578175676893595668607625575868506602311,400,833$
7Tyler PitlickXX100.008245927775566760446260692566666650640313800,000$
8Patrick BrownXX100.009267797276617060736158782559616650640312800,000$
9Rhett GardnerXX100.007983706883818759746053665047476250630273800,000$
10Paul Cotter (R)XX100.009657916369637858405975634551517050630232796,667$
11Gabriel DumontXX100.007269786369626265805964676158596550620332800,000$
12Alex Turcotte (R)X100.0074718274715756617659586455454562506002222,444,167$
13Dylan Samberg (R)X100.007954877073667262254948842551516350660242925,000$
14Urho VaakanainenX100.007143997873705863254847752552526150650241850,000$
15Kevin ConnautonX100.007676777976636750253941673966665550630331900,000$
16Dennis GilbertX100.008999686183586856255048662548485850610261770,000$
17Nikita Okhotyuk (R)X100.007171707671687447253741583944445250580222905,000$
Rayé
1Hugh McGing (R)X100.006460746360798559745658585544446050590252750,000$
2Cross Hanas (R)X100.006762796462636460505461605844446250580213925,000$
3Michael Callahan (R)X100.007673826773535645253639603744445150560242925,000$
MOYENNE D’ÉQUIPE100.00776680727366736053565868415455645063
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 SPÂgeContratSalaire
1Samuel Ersson (R)100.00594444686552836065597545456150590233925,000$
Rayé
MOYENNE D’ÉQUIPE100.0059444468655283606559754545615059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Halpern65767261666281USA441600,000$


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
1Wyatt JohnstonCondors (EDM)C172016362960104389317122.47%337121.870448441235752167.63%41400021.9400000630
2Ty DellandreaCondors (EDM)C/LW/RW181220322960173268104517.65%029816.572576380113270062.57%17900002.1500000220
3Dominic ToninatoCondors (EDM)C/LW/RW1810182824260293867205314.93%434519.222578560000292067.50%8000111.6200000111
4Tyler PitlickCondors (EDM)LW/RW1813102324160111764143020.31%025914.42224932000014070.00%1000001.7700000030
5Maxime ComtoisCondors (EDM)LW18418222826028154083410.00%125414.13000520000011176.00%2500001.7300000021
6John HaydenCondors (EDM)LW/RW181012222360142157194217.54%427615.360116360001360067.92%5300011.5900000102
7Gabriel DumontCondors (EDM)C/RW181392215409451193025.49%01719.5300000000001162.50%800012.5600000220
8Patrick BrownCondors (EDM)C/RW18813212240202043143818.60%020711.5100005000042075.29%17400002.0300000003
9Paul CotterCondors (EDM)C/LW18613192514017540132015.00%020311.3200000000001060.00%1000001.8600000100
10Dylan SambergCondors (EDM)D1851419231803262791618.52%1039421.923251049101259000.00%000000.9600000012
11Urho VaakanainenCondors (EDM)D18413172360161617111923.53%840222.37101749112368110.00%000000.8400000101
12Alex TurcotteCondors (EDM)C184111582013152932113.79%21377.6600001000000066.67%9000002.1700000000
13Michael RasmussenCondors (EDM)C/LW/RW5210121320127299166.90%010621.301013100112120089.66%5800002.2500000001
14Dennis GilbertCondors (EDM)D182101225100284114918.18%1435419.68224736000060100.00%000000.6800000001
15Kevin ConnautonCondors (EDM)D182911244011101481414.29%1235819.89033836000064000.00%000000.6100000001
16Nikita OkhotyukCondors (EDM)D181783514030673814.29%531817.68000214000026000.00%000000.5000000002
17Cross HanasCondors (EDM)LW52243200270528.57%0377.430000000000000.00%000002.1500000001
18Rhett GardnerCondors (EDM)C/LW3000000101010.00%0103.42000000000000100.00%100000.00%00000000
19Michael CallahanCondors (EDM)D4000060420000.00%05714.470000300004000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne286118205323373172030226366119547217.85%63456615.97132437794353581647315469.24%110200151.4100000141416
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
1Samuel ErssonCondors (EDM)1714300.8961.53101906262500000.00%0171000
2Chris DriedgerOilers11000.8751.006000180000.00%0115000
Statistiques d’équipe totales ou en moyenne1815300.8951.501079062725800001816000


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex TurcotteCondors (EDM)C222001-02-25Yes185 Lbs5 ft11NoNoNo2Pro & Farm2,444,167$2,444,167$0$0$No2,444,167$Lien
Cross HanasCondors (EDM)LW212002-05-01Yes167 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Dennis GilbertCondors (EDM)D261996-10-30No216 Lbs6 ft2NoNoNo1Pro & Farm770,000$770,000$0$0$NoLien / Lien NHL
Dominic ToninatoCondors (EDM)C/LW/RW291994-03-09No191 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Dylan SambergCondors (EDM)D241999-01-24Yes190 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Gabriel DumontCondors (EDM)C/RW331990-10-06No195 Lbs5 ft10YesNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Hugh McGingCondors (EDM)C251998-07-11Yes170 Lbs5 ft8NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
John HaydenCondors (EDM)LW/RW281995-02-14No215 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Kevin ConnautonCondors (EDM)D331990-02-23No205 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Maxime ComtoisCondors (EDM)LW241999-08-01No214 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Michael CallahanCondors (EDM)D241999-09-23Yes197 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Michael RasmussenCondors (EDM)C/LW/RW241999-04-17No221 Lbs6 ft6NoNoNo2Pro & Farm1,460,000$1,460,000$0$0$No1,460,000$Lien / Lien NHL
Nikita OkhotyukCondors (EDM)D222000-12-04Yes194 Lbs6 ft1NoNoNo2Pro & Farm905,000$905,000$0$0$No905,000$Lien
Patrick BrownCondors (EDM)C/RW311992-05-29No214 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Paul CotterCondors (EDM)C/LW231999-11-16Yes185 Lbs6 ft0NoNoNo2Pro & Farm796,667$796,667$0$0$No796,667$Lien / Lien NHL
Rhett GardnerCondors (EDM)C/LW271996-02-28No225 Lbs6 ft3NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Samuel ErssonCondors (EDM)G231999-10-20Yes176 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Ty DellandreaCondors (EDM)C/LW/RW232000-07-20No184 Lbs6 ft0NoNoNo1Pro & Farm1,400,833$1,400,833$0$0$NoLien
Tyler PitlickCondors (EDM)LW/RW311991-11-01No200 Lbs6 ft2YesNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Urho VaakanainenCondors (EDM)D241999-01-01No196 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Wyatt JohnstonCondors (EDM)C202003-05-14Yes178 Lbs6 ft1NoNoNo3Pro & Farm1,000,417$1,000,417$0$0$No1,000,417$1,000,417$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.57196 Lbs6 ft11.95989,385$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John HaydenMichael RasmussenDominic Toninato40122
2Maxime ComtoisWyatt JohnstonTy Dellandrea30122
3Tyler PitlickPatrick BrownGabriel Dumont20122
4Rhett GardnerPaul CotterMichael Rasmussen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergUrho Vaakanainen40122
2Kevin ConnautonDennis Gilbert30122
3Nikita OkhotyukPaul Cotter20122
4Dylan SambergUrho Vaakanainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John HaydenMichael RasmussenDominic Toninato60122
2Maxime ComtoisWyatt JohnstonTy Dellandrea40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergUrho Vaakanainen60122
2Kevin ConnautonDennis Gilbert40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenWyatt Johnston60122
2John HaydenMaxime Comtois40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergUrho Vaakanainen60122
2Kevin ConnautonDennis Gilbert40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Rasmussen60122Dylan SambergUrho Vaakanainen60122
2Wyatt Johnston40122Kevin ConnautonDennis Gilbert40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenWyatt Johnston60122
2John HaydenMaxime Comtois40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergUrho Vaakanainen60122
2Kevin ConnautonDennis Gilbert40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John HaydenMichael RasmussenDominic ToninatoDylan SambergUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John HaydenMichael RasmussenDominic ToninatoDylan SambergUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Turcotte, Tyler Pitlick, Patrick BrownAlex Turcotte, Tyler PitlickPatrick Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Okhotyuk, Kevin Connauton, Dennis GilbertNikita OkhotyukKevin Connauton, Dennis Gilbert
Tirs de pénalité
Michael Rasmussen, Wyatt Johnston, John Hayden, Maxime Comtois, Dominic Toninato
Gardien
#1 : Samuel Ersson, #2 :
Lignes d’attaque personnalisées en prolongation
Michael Rasmussen, Wyatt Johnston, John Hayden, Maxime Comtois, Dominic Toninato, Ty Dellandrea, Ty Dellandrea, Tyler Pitlick, Patrick Brown, Paul Cotter, Rhett Gardner
Lignes de défense personnalisées en prolongation
Dylan Samberg, Urho Vaakanainen, Kevin Connauton, Dennis Gilbert, Nikita Okhotyuk


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
TotalDomicileVisiteur
# 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
1 Americans220000001028110000003211100000070741.0001019290150373103721922421803514263413430.77%11190.91%035852767.93%21433064.85%20729171.13%60848127992191113
2Admirals22000000936110000002111100000072541.000915240050373103721922421803711283311327.27%14192.86%035852767.93%21433064.85%20729171.13%60848127992191113
3Firebirds220000001701711000000707110000001001041.0001729460250373101082192242180184442500.00%10100.00%035852767.93%21433064.85%20729171.13%60848127992191113
4IceHogs22000000181171100000010191100000080841.000183452015037310110219224218017516444125.00%80100.00%035852767.93%21433064.85%20729171.13%60848127992191113
5Moose22000000853110000003211100000053241.000812200050373107721922421803861637600.00%8187.50%035852767.93%21433064.85%20729171.13%60848127992191113
6Rampage 22000000231221100000012012110000001111041.00023406301503731012521922421801621829000.00%80100.00%135852767.93%21433064.85%20729171.13%60848127992191113
7Stars220000001811711000000817110000001001041.00018325001503731084219224218018316293133.33%8187.50%235852767.93%21433064.85%20729171.13%60848127992191113
8Wild2020000047-31010000013-21010000034-100.000461000503731037219224218039123230800.00%15286.67%035852767.93%21433064.85%20729171.13%60848127992191113
9Wolves211000001174110000009361010000024-220.500111829005037310462192242180408202512433.33%100100.00%035852767.93%21433064.85%20729171.13%60848127992191113
Total181530000011827919810000055134297200000631449300.833118205323065037310661219224218025865176303621320.97%83692.77%335852767.93%21433064.85%20729171.13%60848127992191113
_Since Last GM Reset181530000011827919810000055134297200000631449300.833118205323065037310661219224218025865176303621320.97%83692.77%335852767.93%21433064.85%20729171.13%60848127992191113
_Vs Conference181530000011827919810000055134297200000631449300.833118205323065037310661219224218025865176303621320.97%83692.77%335852767.93%21433064.85%20729171.13%60848127992191113

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1830W31182053236612586517630306
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
18153000011827
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
98100005513
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200006314
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
621320.97%83692.77%3
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
21922421805037310
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
35852767.93%21433064.85%20729171.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
60848127992191113


Derniers matchs 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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2023-09-298IceHogs1Condors10BWSommaire du match
2 - 2023-09-3030Condors10Stars0AWSommaire du match
3 - 2023-10-0139Condors8IceHogs0AWSommaire du match
4 - 2023-10-0252Moose2Condors3BWSommaire du match
6 - 2023-10-0473Condors11Rampage 1AWSommaire du match
7 - 2023-10-0582 Americans2Condors3BWSommaire du match
9 - 2023-10-07110Admirals1Condors2BWSommaire du match
11 - 2023-10-09128Wild3Condors1BLSommaire du match
12 - 2023-10-10144Condors5Moose3AWSommaire du match
13 - 2023-10-11163Stars1Condors8BWSommaire du match
14 - 2023-10-12180Condors7Admirals2AWSommaire du match
16 - 2023-10-14196Rampage 0Condors12BWSommaire du match
17 - 2023-10-15216Condors7 Americans0AWSommaire du match
18 - 2023-10-16225Condors2Wolves4ALSommaire du match
19 - 2023-10-17235Condors3Wild4ALSommaire du match
20 - 2023-10-18243Wolves3Condors9BWSommaire du match
21 - 2023-10-19262Condors10Firebirds0AWSommaire du match
24 - 2023-10-22287Firebirds0Condors7BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets650
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,077,709$ 2,077,709$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Condors Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Condors Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Condors Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Condors Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Condors Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA