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LHSRSM

Connexion

Condors
GP: 50 | W: 5 | L: 44 | OTL: 1 | P: 11
GF: 133 | GA: 413 | PP%: 21.88% | PK%: 65.52%
DG: Stephane Dubuc | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #815 vs Griffins
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Centre de jeu
Monsters
39-11-1, 79pts
7
FINAL
2 Condors
5-44-1, 11pts
Team Stats
SOW1StreakL9
23-4-1Home Record4-22-1
16-7-0Away Record1-22-0
6-3-1Last 10 Games0-9-1
4.98Goals Per Game2.66
2.55Goals Against Per Game8.26
23.08%Power Play Percentage21.88%
78.18%Penalty Kill Percentage65.52%
IceHogs
28-18-2, 58pts
11
FINAL
3 Condors
5-44-1, 11pts
Team Stats
W3StreakL9
17-9-1Home Record4-22-1
11-9-1Away Record1-22-0
6-4-0Last 10 Games0-9-1
6.46Goals Per Game2.66
5.06Goals Against Per Game8.26
29.41%Power Play Percentage21.88%
61.73%Penalty Kill Percentage65.52%
Condors
5-44-1, 11pts
2023-02-07
Griffins
26-21-2, 54pts
Statistiques d’équipe
L9SéquenceL1
4-22-1Fiche domicile13-10-2
1-22-0Fiche visiteur13-11-0
0-9-110 derniers matchs5-5-0
2.66Buts par match 3.55
8.26Buts contre par match 2.94
21.88%Pourcentage en avantage numérique27.03%
65.52%Pourcentage en désavantage numérique75.31%
Condors
5-44-1, 11pts
2023-02-09
Phantoms
22-27-1, 45pts
Statistiques d’équipe
L9SéquenceW1
4-22-1Fiche domicile14-10-0
1-22-0Fiche visiteur8-17-1
0-9-110 derniers matchs7-2-1
2.66Buts par match 3.98
8.26Buts contre par match 4.28
21.88%Pourcentage en avantage numérique26.04%
65.52%Pourcentage en désavantage numérique73.15%
Condors
5-44-1, 11pts
2023-02-11
Senators
33-13-4, 70pts
Statistiques d’équipe
L9SéquenceW1
4-22-1Fiche domicile20-5-2
1-22-0Fiche visiteur13-8-2
0-9-110 derniers matchs6-4-0
2.66Buts par match 4.56
8.26Buts contre par match 2.58
21.88%Pourcentage en avantage numérique26.32%
65.52%Pourcentage en désavantage numérique81.94%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
133
2.66 GFG
Tirs pour
1525
30.50 Avg
Pourcentage en avantage numérique
21.9%
14 GF
Début de zone offensive
29.3%
Buts contre
413
8.26 GAA
Tirs contre
3470
69.40 Avg
Pourcentage en désavantage numérique
65.5%
10 GA
Début de la zone défensive
47.8%
Informations de l'équipe

Directeur généralStephane Dubuc
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro13
Équipe Mineure21
Limite contact 34 / 250
Espoirs66


Historique d'équipe

Saison actuelle5-44-1 (11PTS)
Historique242-337-41 (0.390%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)18-13
Coupe Stanley0


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
1Martin PospisilXXX100.00664558617682735960635861596365050610211810,000$
2Brendan WarrenXX100.00643888577372705851565956576567050600241650,000$
3Dennis YanX100.00683476547781835552565758546567050600241750,000$
4Collin Adams (R)X100.00623693546967735552565753556466050580232800,000$
5Victor SoderstromX100.006237896669867765306460625261630506302031,523,333$
6David Farrance (R)X100.005836946270837561306056634862650506102211,350,000$
7Cameron CrottyX100.00713986578173925630555458456365050600222925,000$
8Oskari LaaksonenX100.00633884607264915330645659456365050600222925,000$
9Filip Kral (R)X100.00653878577466865430605357466365050590212810,000$
10Seth Barton (R)X100.00683893567764615330585356456365050590222832,500$
11Jesper Sellgren (R)X100.00573681566670835530585456456466050580231875,000$
Rayé
MOYENNE D’ÉQUIPE100.0064388458737379573959565850636505060
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
1Devin Cooley (R)100.0070727388696870696870696573050620241785,000$
2Francois Brassard (R)100.0067656672666567666567667069050600271650,000$
Rayé
MOYENNE D’ÉQUIPE100.006969708068676968676968687105061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Oskari LaaksonenCondors (EDM)D50141630-6923517585100336014.00%18382816.570000000000200.00%000000.7211100201
2Cameron CrottyCondors (EDM)D5017825-292201557983243320.48%10756611.330000000000100.00%000010.8811000222
Statistiques d’équipe totales ou en moyenne100312455-98455330164183579316.94%290139413.950000000000300.00%000010.7922100423
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond 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
Brendan WarrenCondors (EDM)C/LW241997-05-07No191 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cameron CrottyCondors (EDM)D221999-05-05No182 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Collin AdamsCondors (EDM)LW231998-04-24Yes200 Lbs5 ft9NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien NHL
David FarranceCondors (EDM)D221999-06-23Yes189 Lbs5 ft11NoNoNo1Pro & Farm1,350,000$0$0$NoLien NHL
Dennis YanCondors (EDM)LW241997-04-14No197 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Devin CooleyCondors (EDM)G241997-05-25Yes192 Lbs6 ft5NoNoNo1Pro & Farm785,000$0$0$NoLien / Lien NHL
Filip KralCondors (EDM)D211999-10-20Yes185 Lbs6 ft1NoNoNo2Pro & Farm810,000$0$0$No810,000$Lien NHL
Francois BrassardCondors (EDM)G271994-01-31Yes172 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Jesper SellgrenCondors (EDM)D231998-06-11Yes169 Lbs5 ft11NoNoNo1Pro & Farm875,000$0$0$NoLien NHL
Martin PospisilCondors (EDM)C/LW/RW211999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm810,000$0$0$NoLien / Lien NHL
Oskari LaaksonenCondors (EDM)D221999-07-02No172 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Seth BartonCondors (EDM)D221999-08-18Yes185 Lbs6 ft2NoNoNo2Pro & Farm832,500$0$0$No832,500$Lien NHL
Victor SoderstromCondors (EDM)D202001-02-26No184 Lbs5 ft11NoNoNo3Pro & Farm1,523,333$0$0$No1,523,333$1,523,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1322.69184 Lbs6 ft11.54898,910$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Oskari Laaksonen30122
3Cameron Crotty20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Oskari Laaksonen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Oskari Laaksonen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Oskari Laaksonen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Oskari Laaksonen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Cameron Crotty, Cameron Crotty,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Admirals312000001524-91100000095420200000619-1320.33315284300672838212555746849311226614894250.00%220.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
2Americans1010000029-71010000029-70000000000000.00024600672838219557468493116627216300.00%10100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
3Barracuda10100000011-110000000000010100000011-1100.000000006728382195574684931110229022100.00%110.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
4Bears20200000312-91010000014-31010000028-600.000358006728382365574684931114241236300.00%10100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
5Canucks312000001522-721100000131301010000029-720.333153045006728382133557468493112206588511100.00%4175.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
6Checkers20200000612-61010000036-31010000036-300.00061117006728382435574684931176234385240.00%220.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
7Comets20200000215-131010000006-61010000029-700.00024600672838249557468493118629235400.00%110.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
8Crunch20200000218-1610100000110-91010000018-700.0002460067283823155746849311144311036200.00%3166.67%0355120829.39%508197125.77%24494525.82%7094791752342543219
9Eagles1000000178-11000000178-10000000000010.5007132000672838288557468493115523028100.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
10Firebirds303000001422-8202000001014-41010000048-400.0001427412067283821265574684931123164465100.00%20100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
11Gulls20200000120-1910100000111-101010000009-900.0001230067283823155746849311142402332150.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
12IceHogs30300000835-2710100000311-820200000524-1900.000816240067283828055746849311277860547342.86%10100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
13Islanders20200000315-121010000018-71010000027-500.000369006728382335574684931113337046500.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
14Monsters1010000027-51010000027-50000000000000.00024600672838234557468493116217015000.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
15Moose10100000311-810100000311-80000000000000.00036900672838233557468493117720033200.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
16Penguins1010000018-71010000018-70000000000000.00012300672838216557468493117122013400.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
17Reign20200000119-181010000008-810100000111-1000.000123006728382405574684931115054434200.00%2150.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
18Roadrunners1010000027-51010000027-50000000000000.00024600672838225557468493115121016100.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
19Rocket11000000422110000004220000000000021.000481200672838251557468493115123023100.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
20Silver Knights20200000320-171010000019-810100000211-900.000369006728382565574684931114237930200.00%20100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
21Stars202000001015-51010000056-11010000059-400.00010192900672838287557468493111253546322100.00%20100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
22Thunderbirds30300000129-2820200000116-1510100000013-1300.000123006728382585574684931125064254400.00%2150.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
23Wild30300000327-241010000018-720200000219-1700.000369006728382655574684931119652451300.00%20100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
24Wolf Pack10100000110-90000000000010100000110-900.0001230067283821955746849311902602111100.00%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
25Wolves20200000819-111010000029-710100000610-400.000816240067283828255746849311143420473266.67%000.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
26Wranglers321000001616011000000651211000001011-140.6671631470067283821465574684931116263279000.00%10100.00%0355120829.39%508197125.77%24494525.82%7094791752342543219
Total5054400001133413-280274220000179201-122231220000054212-158110.11013325839120672838215255574684931134701032631062641421.88%291065.52%0355120829.39%508197125.77%24494525.82%7094791752342543219
_Since Last GM Reset5054400001133413-280274220000179201-122231220000054212-158110.11013325839120672838215255574684931134701032631062641421.88%291065.52%0355120829.39%508197125.77%24494525.82%7094791752342543219
_Vs Conference3242700001106276-170163120000163125-62161150000043151-10890.141106206312206728382113655746849311229969241729321134.38%19573.68%0355120829.39%508197125.77%24494525.82%7094791752342543219
_Vs Division173140000149156-107927000013172-41817000001884-6670.20649941430067283825615574684931112573621438824729.17%9366.67%0355120829.39%508197125.77%24494525.82%7094791752342543219

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5011L913325839115253470103263106220
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
505440001133413
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27422000179201
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
23122000054212
Derniers 10 matchs
WLOTWOTL SOWSOL
090001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641421.88%291065.52%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
557468493116728382
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
355120829.39%508197125.77%24494525.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
7094791752342543219


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
6 - 2022-10-1210Canucks5Condors6BWSommaire du match
9 - 2022-10-1537Wranglers5Condors6BWSommaire du match
12 - 2022-10-1854Americans9Condors2BLSommaire du match
14 - 2022-10-2069Wolves9Condors2BLSommaire du match
16 - 2022-10-2276Thunderbirds8Condors1BLSommaire du match
18 - 2022-10-2494Penguins8Condors1BLSommaire du match
20 - 2022-10-26109Condors0Thunderbirds13ALSommaire du match
21 - 2022-10-27116Condors2IceHogs12ALSommaire du match
23 - 2022-10-29138Condors6Wranglers3AWSommaire du match
26 - 2022-11-01154Admirals5Condors9BWSommaire du match
28 - 2022-11-03170Comets6Condors0BLSommaire du match
30 - 2022-11-05178Stars6Condors5BLSommaire du match
32 - 2022-11-07195Condors2Bears8ALSommaire du match
33 - 2022-11-08202Condors1Crunch8ALSommaire du match
35 - 2022-11-10212Condors6Wolves10ALSommaire du match
37 - 2022-11-12226Condors3Checkers6ALSommaire du match
41 - 2022-11-16259Reign8Condors0BLSommaire du match
44 - 2022-11-19287Silver Knights9Condors1BLSommaire du match
46 - 2022-11-21293Condors2Comets9ALSommaire du match
48 - 2022-11-23310Condors2Islanders7ALSommaire du match
51 - 2022-11-26332Condors1Wolf Pack10ALSommaire du match
53 - 2022-11-28351Checkers6Condors3BLSommaire du match
55 - 2022-11-30364Condors3IceHogs12ALSommaire du match
56 - 2022-12-01370Condors2Wild9ALSommaire du match
58 - 2022-12-03380Rocket2Condors4BWSommaire du match
60 - 2022-12-05400Bears4Condors1BLSommaire du match
62 - 2022-12-07416Roadrunners7Condors2BLSommaire du match
64 - 2022-12-09429Wild8Condors1BLSommaire du match
67 - 2022-12-12452Condors0Wild10ALSommaire du match
68 - 2022-12-13461Condors3Admirals11ALSommaire du match
70 - 2022-12-15480Thunderbirds8Condors0BLSommaire du match
72 - 2022-12-17486Gulls11Condors1BLSommaire du match
74 - 2022-12-19505Condors3Admirals8ALSommaire du match
76 - 2022-12-21522Condors5Stars9ALSommaire du match
78 - 2022-12-23542Canucks8Condors7BLSommaire du match
82 - 2022-12-27555Condors4Wranglers8ALSommaire du match
85 - 2022-12-30577Condors4Firebirds8ALSommaire du match
86 - 2022-12-31588Moose11Condors3BLSommaire du match
89 - 2023-01-03606Firebirds7Condors5BLSommaire du match
91 - 2023-01-05618Islanders8Condors1BLSommaire du match
93 - 2023-01-07635Eagles8Condors7BLXXSommaire du match
95 - 2023-01-09647Condors1Reign11ALSommaire du match
97 - 2023-01-11660Condors0Gulls9ALSommaire du match
99 - 2023-01-13676Condors0Barracuda11ALSommaire du match
100 - 2023-01-14689Condors2Silver Knights11ALSommaire du match
103 - 2023-01-17711Firebirds7Condors5BLSommaire du match
105 - 2023-01-19725Crunch10Condors1BLSommaire du match
107 - 2023-01-21744Condors2Canucks9ALSommaire du match
111 - 2023-01-25768Monsters7Condors2BLSommaire du match
114 - 2023-01-28798IceHogs11Condors3BLSommaire du match
124 - 2023-02-07815Condors-Griffins-
126 - 2023-02-09822Condors-Phantoms-
128 - 2023-02-11834Condors-Senators-
129 - 2023-02-12846Condors-Rocket-
132 - 2023-02-15866Griffins-Condors-
134 - 2023-02-17881Wolf Pack-Condors-
136 - 2023-02-19898Condors-Eagles-
138 - 2023-02-21916Phantoms-Condors-
140 - 2023-02-23922Condors-Penguins-
142 - 2023-02-25936Condors-Monsters-
144 - 2023-02-27954Bruins-Condors-
146 - 2023-03-01969Marlies-Condors-
148 - 2023-03-03985Moose-Condors-
149 - 2023-03-04995Condors-Moose-
151 - 2023-03-061007Condors-Americans-
154 - 2023-03-091026Condors-Bruins-
156 - 2023-03-111043Condors-Marlies-
159 - 2023-03-141071Senators-Condors-
161 - 2023-03-161086Stars-Condors-
163 - 2023-03-181098Condors-Firebirds-
165 - 2023-03-201118Barracuda-Condors-
167 - 2023-03-221134Roadrunners-Condors-
170 - 2023-03-251163Silver Knights-Condors-
172 - 2023-03-271175Condors-Roadrunners-
173 - 2023-03-281184Condors-Silver Knights-
175 - 2023-03-301197Reign-Condors-
177 - 2023-04-011216Gulls-Condors-
180 - 2023-04-041237Condors-Reign-
181 - 2023-04-051242Condors-Gulls-
184 - 2023-04-081259Condors-Barracuda-
187 - 2023-04-111292Condors-Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131308Barracuda-Condors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-18 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
660,475$ 1,168,583$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 660,475$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 6,183$ 457,542$




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
Saison régulière
482392702210225620254411814002521251042141211302050131983310625646071628010777602864093399090824017151447192958112120.83%6099185.06%131918324159.18%1759293959.85%747125459.57%2124145718306301036533
582362404693244200444122903241130854541141501452114115-1107244421665290103666226160821810941251370449019452115325.12%1833481.42%31315261150.36%1135256944.18%566120147.13%217215951825538995516
6824025024653072278041191701220138126124121801245169101681053075448511901181027933590113111331031268474455121482346226.50%2354282.13%11937319760.59%1542279055.27%740132255.98%2253163517185481017543
782313900435262272-1041161700323130127341152200112132145-137726242869033011368783089097410791022323396632720652344920.94%1393376.26%11256289943.33%1273314540.48%548131841.58%198714311983553995494
88267101103230660-4304153401001132326-194411370010298334-23618230435665000987754285109289429556385177221819131191512.61%1014159.41%1670216730.92%983362027.15%499162930.63%10977272951564886348
98267102012194640-446412370001187325-2384143402001107315-20820194336530010696557235308067907425980173917016781402215.71%793456.96%0701212932.93%1063371028.65%489157830.99%11107442943571885339
1082313606423285334-4941171504311158160-241142102112127174-478528547676161110897810303696610051027603371103032117341914121.47%1402681.43%11438279551.45%1391304445.70%708141250.14%185013152119562998483
115054400001133413-280274220000179201-122231220000054212-1581113325839120672838215255574684931134701032631062641421.88%291065.52%0355120829.39%508197125.77%24494525.82%7094791752342543219
Total Saison régulière62419433701721312419112948-1037314103165091215109791454-4753109117208916149321494-5625291911335852691631177725571402216931523706672645670300378702358714474177437721.25%151531179.47%2095902024747.37%96542378840.58%45411065942.60%13305938617125431173593478
Séries éliminatoires
419127000004541411830000027216844000001820-224458012501010191558301772081795131483914511402417.14%1521987.50%043172859.20%40067659.17%14426454.55%466309454158245122
512660000029281624000001316-36420000016124122949780108910282099651053549296267321031.25%42685.71%017636148.75%17340642.61%8317547.43%2851922919015878
Total Séries éliminatoires311813000007469517107000004037314860000034322367412920302018282586502762732848672404877181723419.77%1942587.11%0607108955.74%573108252.96%22743951.71%752502746249403200