Connexion

Condors
GP: 49 | W: 15 | L: 29 | OTL: 5 | P: 35
GF: 144 | GA: 187 | PP%: 15.79% | PK%: 75.00%
DG: Dany Beauchemin | Morale : 29 | Moyenne d’équipe : 62
Prochains matchs #803 vs Wranglers
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Centre de jeu
Condors
15-29-5, 35pts
5
FINAL
4 StarsF
31-12-5, 67pts
Team Stats
L1SéquenceSOL1
10-13-2Fiche domicile15-6-4
5-16-3Fiche domicile16-6-1
1-9-0Derniers 10 matchs5-4-1
2.94Buts par match 3.75
3.82Buts contre par match 3.13
15.79%Pourcentage en avantage numérique26.45%
75.00%Pourcentage en désavantage numérique76.86%
Barracuda
20-25-6, 46pts
3
FINAL
1 Condors
15-29-5, 35pts
Team Stats
W1SéquenceL1
13-9-2Fiche domicile10-13-2
7-16-4Fiche domicile5-16-3
2-7-1Derniers 10 matchs1-9-0
3.20Buts par match 2.94
3.65Buts contre par match 3.82
24.09%Pourcentage en avantage numérique15.79%
70.34%Pourcentage en désavantage numérique75.00%
Condors
15-29-5, 35pts
2023-12-11
Wranglers
23-23-1, 47pts
Statistiques d’équipe
L1SéquenceW2
10-13-2Fiche domicile13-12-0
5-16-3Fiche visiteur10-11-1
1-9-010 derniers matchs6-4-0
2.94Buts par match 3.36
3.82Buts contre par match 3.36
15.79%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique77.86%
Icehogs
21-23-8, 50pts
2023-12-13
Condors
15-29-5, 35pts
Statistiques d’équipe
SOL1SéquenceL1
13-7-4Fiche domicile10-13-2
8-16-4Fiche visiteur5-16-3
4-4-210 derniers matchs1-9-0
2.94Buts par match 2.94
3.31Buts contre par match 2.94
20.71%Pourcentage en avantage numérique15.79%
81.76%Pourcentage en désavantage numérique75.00%
Condors
15-29-5, 35pts
2023-12-15
Monsters
32-19-0, 64pts
Statistiques d’équipe
L1SéquenceW1
10-13-2Fiche domicile16-8-0
5-16-3Fiche visiteur16-11-0
1-9-010 derniers matchs3-7-0
2.94Buts par match 3.57
3.82Buts contre par match 3.57
15.79%Pourcentage en avantage numérique17.42%
75.00%Pourcentage en désavantage numérique74.31%
Meneurs d'équipe
Buts
Bogdan Yakimov
15
Passes
Keegan Kolesar
23
Points
Bogdan Yakimov
31
Plus/Moins
A.J. Greer
7
Victoires
Mads Sogaard
12
Pourcentage d’arrêts
Aaron Dell
0.911

Statistiques d’équipe
Buts pour
144
2.94 GFG
Tirs pour
1315
26.84 Avg
Pourcentage en avantage numérique
15.8%
24 GF
Début de zone offensive
38.4%
Buts contre
187
3.82 GAA
Tirs contre
1611
32.88 Avg
Pourcentage en désavantage numérique
75.0%%
50 GA
Début de la zone défensive
42.7%
Informations de l'équipe

Directeur généralDany Beauchemin
EntraîneurSylvain Lefebvre
DivisionDivision Nord-Ouest
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,854
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 55
Espoirs43


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
1Dominic ToninatoX97.3460439070736982726865647257625655326402911,000,000$
2Egor KorshkovX97.007257717073677472627370706052486043640271750,000$
3A.J. GreerX99.007257787272727369667271656251486037640261750,000$
4Jaedon DescheneauX99.286845807168747368626768666461515533630281900,000$
5Kurt EtchegaryX99.007452687069627370706968746263575541630291900,000$
6Hunter SmithX100.008060566780686364646463665753505914610281600,000$
7Dave LabrecqueX99.0061459571716965686266646762454542446103311,000,000$
8Devante Smith-PellyX100.005840976377667360655958656267624941600311900,000$
9Kale KessyX100.007068797074666767566160675845455310600311900,000$
10Carter AshtonX100.0062479069746563675961636761514546426003231,000,000$
11Jordy StallardX100.006045927272676267616463646145456627600261900,000$
12Mitch WahlX100.006349897171676766636262656245454219600331700,000$
13Tyler LewingtonX100.0084785369747376714570677457605454256502911,300,000$
14Emil DjuseX100.0055429270686666674564626758474656316103021,000,000$
15Andrew NielsenX97.007050747274687063456361655650476041610271750,000$
16Nikolas BrouillardX100.006452767367656267456363656145455938600281900,000$
17Loik LeveilleX100.006665796874645767456364666245456429600271900,000$
18Chaz ReddekoppX100.006752686973676762456360685647465823600261750,000$
Rayé
1Bogdan YakimovX93.0072467772797276727666697065595559406502911,100,000$
2Keegan KolesarX93.007367817474738769677266676257486640650261900,000$
3Philippe HudonX100.005841956972686667596364666245455330600301900,000$
4Mason GeertsenX88.318375566875687669456963705659525435630281900,000$
5Dalton ThrowerX100.0064547569726360654563596659464556205902921,000,000$
MOYENNE D’ÉQUIPE98.30685379707368696757656467605249563262
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
1Aaron Dell100.007475747874738076778075605538386303431,000,000$
Rayé
1Mads Sogaard (R)94.0079848284828539848880855550709630223900,000$
2Philippe Desrosiers65.37746569777777877777767050526147620282900,000$
MOYENNE D’ÉQUIPE86.3376757580787869798179775552563163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sylvain Lefebvre65566275797944CAN575100,000$


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
1Christian FischerOilersRW41141933102604469106288213.21%983120.29145181081012752048.77%28500000.7912000242
2Bogdan YakimovCondors (Edm)C45151631-62806368119399112.61%592820.643693212310111040054.64%67900000.6715000212
3Frederik GauthierOilersC29151631660224079215318.99%1156519.492028460000383154.36%34400001.1002000420
4Keegan KolesarCondors (Edm)RW4882331-11120646210517687.62%1491719.1115610860002670146.01%68900000.6812000101
5Jaedon DescheneauCondors (Edm)RW46101525-10240473910122569.90%769515.131125311011161039.86%13800000.7202000120
6Mason GeertsenCondors (Edm)D4842024-7735126425225447.69%99111323.20145261160110125000%000000.4300100022
7Kurt EtchegaryCondors (Edm)C4914923-123207772111386112.61%1076015.5322418920000322050.53%75200000.6001000001
8Tyler LewingtonCondors (Edm)D3821921-1965599334713304.26%6180421.160441461000280000%000000.5200001021
9A.J. GreerCondors (Edm)LW4951520721565669138825.49%590218.421452111100011271143.27%10400100.4402010101
10Dominic ToninatoCondors (Edm)LW4771219160124610434656.73%984317.95145179101121001146.94%36000000.4501000010
11Emil DjuseCondors (Edm)D4951419-312013325216409.62%6094619.32325281230221145000%000000.4000000000
12Nikolas BrouillardCondors (Edm)D498917-9120304352162715.38%4997319.873032076000099100%000000.3500000110
13Egor KorshkovCondors (Edm)RW449817013548269312639.68%557913.1623512500001191041.97%35500000.5911001120
14Andrew NielsenCondors (Edm)D4921517-338099355321213.77%62109822.42101211220111136000%000000.3100000011
15Devante Smith-PellyCondors (Edm)LW496814-148062136192716.67%864413.15011080000210052.78%3600000.4300000000
16Loik LeveilleCondors (Edm)D344913716013251761523.53%3154215.96011014000034000%000000.4800000100
17Chaz ReddekoppCondors (Edm)D272810-2160428123816.67%2842815.8810124000014010%000000.4700000100
18Jordy StallardCondors (Edm)C37527-1206151471935.71%11634.43000240000170143.11%16700000.8500000001
19Philippe HudonCondors (Edm)LW323471201132562012.00%32056.4200000000000062.50%1600000.6800000011
20Hunter SmithCondors (Edm)LW15235-916024101561113.33%222214.841123180000100040.43%4700000.4501000000
21Mitch WahlCondors (Edm)C29134-52054144107.14%21324.5800001000010043.48%6900000.6000000001
22Dave LabrecqueCondors (Edm)C7022-600214133160%212417.8000005000000045.71%14000000.3200000000
23Kale KessyCondors (Edm)RW15000-320323100%0362.4000011000000034.78%230000000000000
24Carter AshtonCondors (Edm)RW6000000001000%020.460000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne882141249390-8843220911785131539590910.72%4831446516.40244266258130435814127112648.38%420400100.54419112151914
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
1Mads SogaardCondors (Edm)37122030.8774.1718276112710310000.900103514111
2Philippe DesrosiersCondors (Edm)162620.8963.0175800383650010.77891024000
3Aaron DellCondors (Edm)81300.9113.01379001921400000411001
Statistiques d’équipe totales ou en moyenne61152950.8863.722965611841610001194949112


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
A.J. GreerCondors (Edm)LW261996-12-14No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Aaron DellCondors (Edm)G341989-05-04No213 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Andrew NielsenCondors (Edm)D271996-11-13No225 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Bogdan Yakimov (sur la masse salariale)Condors (Edm)C291994-10-04No232 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,100,000$0$0$Yes------------------Lien
Carter AshtonCondors (Edm)RW321991-04-01No209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Chaz ReddekoppCondors (Edm)D261997-01-01No218 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Dalton ThrowerCondors (Edm)D291993-12-20No202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Dave LabrecqueCondors (Edm)C331990-01-27No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Devante Smith-PellyCondors (Edm)LW311992-06-14No225 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Dominic ToninatoCondors (Edm)LW291994-03-09No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Egor KorshkovCondors (Edm)RW271996-07-10No214 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Emil DjuseCondors (Edm)D301993-10-27No185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Hunter SmithCondors (Edm)LW281995-09-11No231 Lbs6 ft7NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------Lien
Jaedon DescheneauCondors (Edm)RW281995-02-22No186 Lbs5 ft9NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Jordy StallardCondors (Edm)C261997-09-18No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Kale KessyCondors (Edm)RW311992-12-04No212 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Keegan Kolesar (sur la masse salariale)Condors (Edm)RW261997-04-08No216 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$Yes------------------Lien
Kurt EtchegaryCondors (Edm)C291994-11-12No183 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Loik LeveilleCondors (Edm)D271996-09-25No223 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Mads Sogaard (sur la masse salariale)Condors (Edm)G222000-12-13Yes196 Lbs6 ft7NoNoN/ANoNo3Pro & Farm900,000$0$0$Yes900,000$900,000$-------NoNo-------Lien
Mason Geertsen (sur la masse salariale)Condors (Edm)D281995-04-19No220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$0$0$Yes------------------Lien
Mitch WahlCondors (Edm)C331990-01-22No205 Lbs6 ft0NoNoN/ANoNo1Farm Only700,000$0$0$No------------------Lien
Nikolas BrouillardCondors (Edm)D281995-02-07No168 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Philippe Desrosiers (sur la masse salariale)Condors (Edm)G281995-08-16No200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$Yes900,000$--------No--------Lien
Philippe HudonCondors (Edm)LW301993-04-15No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Tyler LewingtonCondors (Edm)D291994-12-05No202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2628.69206 Lbs6 ft21.35903,846$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor KorshkovJaedon DescheneauDominic Toninato25122
2Hunter Smith25122
3Devante Smith-PellyDave LabrecqueA.J. Greer25122
4Kurt Etchegary25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Loik LeveilleChaz Reddekopp25122
2Emil DjuseAndrew Nielsen25122
3Nikolas BrouillardTyler Lewington25122
4Andrew NielsenTyler Lewington25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor KorshkovDave Labrecque50122
2A.J. GreerHunter Smith50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas BrouillardTyler Lewington50122
2Emil DjuseAndrew Nielsen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hunter Smith50122
2Dominic Toninato50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas BrouillardTyler Lewington50122
2Emil DjuseAndrew Nielsen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Nikolas BrouillardTyler Lewington50122
250122Emil DjuseAndrew Nielsen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Egor KorshkovHunter Smith50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolas BrouillardTyler Lewington50122
2Emil DjuseAndrew Nielsen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor KorshkovAndrew NielsenTyler Lewington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor KorshkovAndrew NielsenTyler Lewington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Hunter Smith,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolas Brouillard, Andrew Nielsen, Emil DjuseNikolas BrouillardAndrew Nielsen, Emil Djuse
Tirs de pénalité
, Hunter Smith, , Egor Korshkov, Dave Labrecque
Gardien
#1 : , #2 : Aaron Dell


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
1Admirals403001001318-52020000069-32010010079-210.12513223500405249488439432432311235345729333.33%19478.95%0809161450.12%840179746.74%38579348.55%10947241224373649313
2Americans1010000004-41010000004-40000000000000.00000000405249417439432432313012818100.00%4250.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
3Barracuda211000007701010000013-21100000064220.500713200040524947443943243231751437337228.57%11372.73%0809161450.12%840179746.74%38579348.55%10947241224373649313
4Bears1010000035-21010000035-20000000000000.00036900405249415439432432314114818200.00%4250.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
5BruinsF11000000422110000004220000000000021.00045900405249427439432432314015820400.00%4175.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
6Canucks413000001316-3211000008712020000059-420.2501321341040524941134394324323111741307219210.53%15566.67%0809161450.12%840179746.74%38579348.55%10947241224373649313
7Crunch1010000016-5000000000001010000016-500.0001230040524943043943243231284821300.00%4250.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
8Eagles40300100815-72020000037-42010010058-310.125814220040524941214394324323112035447514214.29%21480.95%0809161450.12%840179746.74%38579348.55%10947241224373649313
9Firebirds1010000005-51010000005-50000000000000.00000000405249424439432432314071427000%6266.67%0809161450.12%840179746.74%38579348.55%10947241224373649313
10Griffins321000001082220000007431010000034-140.6671019290040524948743943243231842122501000.00%11372.73%0809161450.12%840179746.74%38579348.55%10947241224373649313
11Gulls1010000034-1000000000001010000034-100.00036900405249429439432432313613634000%3233.33%0809161450.12%840179746.74%38579348.55%10947241224373649313
12Icehogs1010000014-3000000000001010000014-300.0001230040524942843943243231298419100.00%20100.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
13Iowa Wild21000001844210000018440000000000030.75081523004052494544394324323156814387114.29%7185.71%1809161450.12%840179746.74%38579348.55%10947241224373649313
14Islanders11000000413110000004130000000000021.000461000405249431439432432312813823300.00%40100.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
15Marlies2110000034-12110000034-10000000000020.500358004052494504394324323156191640900.00%70100.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
16Monsters302001001016-620100100711-41010000035-210.167101727004052494634394324323112631326111327.27%16381.25%0809161450.12%840179746.74%38579348.55%10947241224373649313
17Moose11000000514110000005140000000000021.000581300405249422439432432312820812200.00%40100.00%1809161450.12%840179746.74%38579348.55%10947241224373649313
18PenguinsF1010000036-3000000000001010000036-300.0003580040524942743943243231279218400.00%10100.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
19Roadrunners20100001510-50000000000020100001510-510.2505101500405249454439432432317523193222100.00%7271.43%0809161450.12%840179746.74%38579348.55%10947241224373649313
20Rocket11000000404000000000001100000040421.000481201405249429439432432311942164125.00%10100.00%1809161450.12%840179746.74%38579348.55%10947241224373649313
21SenatorsF1010000013-2000000000001010000013-200.000123004052494244394324323132100158112.50%000%0809161450.12%840179746.74%38579348.55%10947241224373649313
22Silver Knights20200000410-60000000000020200000410-600.00046100040524945643943243231802218343133.33%9277.78%0809161450.12%840179746.74%38579348.55%10947241224373649313
23StarsF3010002013130100000106512010001078-140.66713213400405249484439432432311013422538225.00%11463.64%0809161450.12%840179746.74%38579348.55%10947241224373649313
24Thunderbirds311000101112-11010000025-32100001097240.667111627004052494914394324323111028415511436.36%18666.67%0809161450.12%840179746.74%38579348.55%10947241224373649313
25Wolf Pack20200000510-51010000036-31010000024-200.00051015004052494474394324323177151834900.00%9277.78%0809161450.12%840179746.74%38579348.55%10947241224373649313
26Wranglers11000000532110000005320000000000021.0005101500405249430439432432313310421100.00%20100.00%0809161450.12%840179746.74%38579348.55%10947241224373649313
Total49122900332144187-4325913001117586-11243160022169101-32350.35714424939311405249413154394324323116114834389111522415.79%2005075.00%3809161450.12%840179746.74%38579348.55%10947241224373649313
_Since Last GM Reset49122900332144187-4325913001117586-11243160022169101-32350.35714424939311405249413154394324323116114834389111522415.79%2005075.00%3809161450.12%840179746.74%38579348.55%10947241224373649313
_Vs Conference3572000332111140-291658001115358-519212002215882-24250.3571111923031040524949724394324323111653413386491032221.36%1523974.34%1809161450.12%840179746.74%38579348.55%10947241224373649313
_Vs Division1138001013245-13533000011418-4605001001827-980.3643256881040524943264394324323138110710922130516.67%461469.57%0809161450.12%840179746.74%38579348.55%10947241224373649313

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4935L11442493931315161148343891111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4912290332144187
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2591301117586
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
24316022169101
Derniers 10 matchs
WLOTWOTL SOWSOL
090010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1522415.79%2005075.00%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
439432432314052494
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
809161450.12%840179746.74%38579348.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10947241224373649313


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
2 - 2023-08-2617Wranglers3Condors5BWSommaire du match
5 - 2023-08-2936Monsters4Condors3BLXSommaire du match
7 - 2023-08-3152Condors5Roadrunners6ALXXSommaire du match
9 - 2023-09-0269Griffins2Condors3BWSommaire du match
11 - 2023-09-0484Condors3Griffins4ALSommaire du match
13 - 2023-09-0695Condors5Thunderbirds4AWSommaire du match
15 - 2023-09-08110Marlies3Condors0BLSommaire du match
18 - 2023-09-11132Canucks4Condors2BLSommaire du match
20 - 2023-09-13151Condors3Canucks4ALSommaire du match
21 - 2023-09-14162Admirals4Condors2BLSommaire du match
24 - 2023-09-17186Condors3Monsters5ALSommaire du match
26 - 2023-09-19195Eagles4Condors3BLSommaire du match
28 - 2023-09-21208Condors2Silver Knights6ALSommaire du match
31 - 2023-09-24228Iowa Wild1Condors6BWSommaire du match
33 - 2023-09-26246Condors6Barracuda4AWSommaire du match
35 - 2023-09-28262StarsF5Condors6BWXXSommaire du match
38 - 2023-10-01278Condors3Eagles5ALSommaire du match
40 - 2023-10-03295Griffins2Condors4BWSommaire du match
42 - 2023-10-05313Condors2Admirals3ALSommaire du match
44 - 2023-10-07327BruinsF2Condors4BWSommaire du match
46 - 2023-10-09340Condors1Crunch6ALSommaire du match
48 - 2023-10-11358Moose1Condors5BWSommaire du match
51 - 2023-10-14381Condors3PenguinsF6ALSommaire du match
53 - 2023-10-16393Monsters7Condors4BLSommaire du match
55 - 2023-10-18411Condors4Rocket0AWSommaire du match
57 - 2023-10-20418Condors4Thunderbirds3AWXXSommaire du match
58 - 2023-10-21433Americans4Condors0BLSommaire du match
61 - 2023-10-24451Canucks3Condors6BWSommaire du match
63 - 2023-10-26469Condors2Eagles3ALXSommaire du match
66 - 2023-10-29485Marlies1Condors3BWSommaire du match
70 - 2023-11-02513Iowa Wild3Condors2BLXXSommaire du match
72 - 2023-11-04524Condors2StarsF4ALSommaire du match
74 - 2023-11-06535Condors0Roadrunners4ALSommaire du match
76 - 2023-11-08552Wolf Pack6Condors3BLSommaire du match
79 - 2023-11-11575Condors5Admirals6ALXSommaire du match
81 - 2023-11-13585Bears5Condors3BLSommaire du match
83 - 2023-11-15604Condors1Icehogs4ALSommaire du match
84 - 2023-11-16616Islanders1Condors4BWSommaire du match
87 - 2023-11-19637Condors2Wolf Pack4ALSommaire du match
89 - 2023-11-21649Thunderbirds5Condors2BLSommaire du match
91 - 2023-11-23661Condors2Canucks5ALSommaire du match
92 - 2023-11-24676Condors2Silver Knights4ALSommaire du match
94 - 2023-11-26688Firebirds5Condors0BLSommaire du match
97 - 2023-11-29710Condors3Gulls4ALSommaire du match
98 - 2023-11-30719Admirals5Condors4BLSommaire du match
101 - 2023-12-03741Condors1SenatorsF3ALSommaire du match
102 - 2023-12-04750Eagles3Condors0BLSommaire du match
105 - 2023-12-07777Condors5StarsF4AWXXSommaire du match
106 - 2023-12-08781Barracuda3Condors1BLSommaire du match
109 - 2023-12-11803Condors-Wranglers-
111 - 2023-12-13815Icehogs-Condors-
113 - 2023-12-15830Condors-Monsters-
115 - 2023-12-17846Icehogs-Condors-
117 - 2023-12-19862Condors-Islanders-
119 - 2023-12-21874Condors-Comets-
120 - 2023-12-22885Reign-Condors-
122 - 2023-12-24900Condors-Phantoms-
125 - 2023-12-27917Roadrunners-Condors-
127 - 2023-12-29936Condors-Reign-
128 - 2023-12-30946Phantoms-Condors-
131 - 2024-01-02966Condors-Checkers-
134 - 2024-01-05983Gulls-Condors-
136 - 2024-01-07999Condors-Wranglers-
137 - 2024-01-081010Condors-Wolves-
139 - 2024-01-101021Thunderbirds-Condors-
142 - 2024-01-131042Gulls-Condors-
144 - 2024-01-151060Condors-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2024-01-171073StarsF-Condors-
148 - 2024-01-191087Condors-Barracuda-
150 - 2024-01-211100Condors-Gulls-
152 - 2024-01-231109Condors-Griffins-
153 - 2024-01-241119Wranglers-Condors-
156 - 2024-01-271144Roadrunners-Condors-
158 - 2024-01-291152Condors-Icehogs-
161 - 2024-02-011178Reign-Condors-
163 - 2024-02-031194Condors-Iowa Wild-
166 - 2024-02-061210Barracuda-Condors-
167 - 2024-02-071221Condors-Iowa Wild-
170 - 2024-02-101236Condors-Phantoms-
171 - 2024-02-111248Silver Knights-Condors-
177 - 2024-02-171280Silver Knights-Condors-
180 - 2024-02-201302Checkers-Condors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance47,79923,544
Assistance PCT95.60%94.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2854 - 95.12% 103,654$2,591,338$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,307,667$ 1,880,000$ 1,880,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,248,884$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,658,456$ 75 10,879$ 815,925$




Condors Leaders statistiques des joueurs (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 des joueurs (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