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Condors
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 2 | GA: 4 | PP%: 50.00% | PK%: 85.71%
DG: Christian Nolet | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #14 vs Sound Tigers
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Centre de jeu
Soldiers
2-0-0, 4pts
4
FINAL
2 Condors
0-1-0, 0pts
Team Stats
W2StreakL1
0-0-0Home Record0-1-0
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-0
3.00Buts par match 2.00
1.50Buts contre par match 4.00
13.33%Pourcentage en avantage numérique50.00%
81.82%Pourcentage en désavantage numérique85.71%
Condors
0-1-0, 0pts
2022-10-13
Sound Tigers
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
2.00Buts par match 3.00
4.00Buts contre par match 3.00
50.00%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique75.00%
Sound Tigers
1-0-0, 2pts
2022-10-15
Condors
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
0-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 2.00
2.00Buts contre par match 2.00
14.29%Pourcentage en avantage numérique50.00%
75.00%Pourcentage en désavantage numérique85.71%
Condors
0-1-0, 0pts
2022-10-16
Monarchs
0-0-1, 1pts
Statistiques d’équipe
L1SéquenceSOL1
0-1-0Fiche domicile0-0-1
0-0-0Fiche visiteur0-0-0
0-1-010 derniers matchs0-0-1
2.00Buts par match 1.00
4.00Buts contre par match 1.00
50.00%Pourcentage en avantage numérique25.00%
85.71%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
William Lagesson
1
Passes
William Lagesson
1
Points
William Lagesson
2
Plus/Moins
Jeff Malott
0
Victoires
Jonas Johansson
0
Pourcentage d’arrêts
Jonas Johansson
0.818

Statistiques d’équipe
Buts pour
2
2.00 GFG
Tirs pour
16
16.00 Avg
Pourcentage en avantage numérique
50.0%
2 GF
Début de zone offensive
42.3%
Buts contre
4
4.00 GAA
Tirs contre
22
22.00 Avg
Pourcentage en désavantage numérique
85.7%
1 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralChristian Nolet
EntraîneurJoel Bouchard
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,739
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 60
Espoirs12


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
1Mike Hardman (R)0XX100.00947884687854635744605567254646625000232925,000$
2Colton Sceviour0XX100.007784797572547757465957825972726550003311,200,000$
3Josh Dunne (R)0X100.00758064788051505569475862554444595000232925,000$
4Thomas Novak (R)0X100.00574097676661577461675665254646625000253925,000$
5Matt Luff0X100.00784494687355626125616466255555665000254750,000$
6Mattias Janmark85XX100.006151908273688761386964752568726950002911,000,000$
7Jeff Malott (R)0X100.00767775627771746250566565624444655000264780,000$
8Vinni Lettieri0XX100.00784393676763677051637059255353685000273750,000$
9Karson Kuhlman0X100.00814495716762615925635873255657655000273725,000$
10Marian Studenic0X100.00714293726259666131565775254747635000233750,000$
11Mason Shaw0X100.00636755676771736480636259594444635000231925,000$
12Riley Sheahan0XXX100.00594298807962886175655682637373665000301900,000$
13Reese Johnson0X100.00998087637257615571625680254747655000243925,000$
14Tarmo Reunanen (R)0X100.00736590686556575225484161394444545000244925,000$
15Colton White0X100.00734390666962595525514771255757595000253750,000$
16Danny DeKeyser0X100.007143867673767959255447862573736350003211,000,000$
17Frederic Allard0X100.00726687616656594925404161395050525000271921,666$
18Marc-Edouard Vlasic0X100.006943917975678960255148794688886250003511,000,000$
19William Lagesson0X100.00776488727760606125514770255050595000262725,000$
20Corey Schueneman0X100.00674289657370726025524977254646615000273750,000$
Rayé
1Andrew Ladd0X100.007857746778675672566066746886866850003611,000,000$
2Dennis Gilbert0X100.00797978617956575425474565434646555000251925,000$
MOYENNE D’ÉQUIPE100.0074588570726267604257557138565662500
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
1Jonas Johansson100.0059515090655283606559754646625000271925,000$
2Jon Gillies100.0060484891655469616560754646615000282750,000$
Rayé
1Evan Fitzpatrick (R)100.0044415182454445494545454444455000244750,000$
2Matthew Villalta (R)100.0050405070535050555252304444505000232927,500$
MOYENNE D’ÉQUIPE100.005345508357506256575456454555500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard68676273736878CAN483500,000$


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
1William LagessonCondors (EDM)D1112-1001021050.00%02222.021122200005000.00%000001.8200000000
2Dennis GilbertCondors (EDM)D1011020310010.00%11717.500110000004000.00%000001.1400000000
3Jeff MalottCondors (EDM)LW11010203130133.33%02222.2710112000060022.27900000.9000000000
4Marc-Edouard VlasicCondors (EDM)D1011-100001120.00%01616.370110200000000.00%000001.2200000000
5Karson KuhlmanCondors (EDM)RW1011-100000000.00%01919.7801103000030019.78800001.0100000000
6Mike HardmanCondors (EDM)LW/RW1000-200403020.00%11515.670003200001000.00%100000.00%00000000
7Tarmo ReunanenCondors (EDM)D1000020100000.00%01717.620000000004000.00%000000.00%00000000
8Colton WhiteCondors (EDM)D1000-220201010.00%12020.550001200005000.00%000000.00%00000000
9Colton SceviourCondors (EDM)LW/RW1000000200110.00%01414.950000000000000.00%000000.00%00000000
10Josh DunneCondors (EDM)C1000000000000.00%011.670000000001001.67200000.00%00000000
11Danny DeKeyserCondors (EDM)D1000000000000.00%055.330000000001000.00%000000.00%00000000
12Thomas NovakCondors (EDM)C1000-200031040.00%02020.8500002000060020.851600000.00%00000000
13Matt LuffCondors (EDM)RW1000000000000.00%055.750000000000005.75600000.00%00000000
14Vinni LettieriCondors (EDM)C/RW1000-200001000.00%01111.930000000000000.00%000000.00%00000000
15Marian StudenicCondors (EDM)RW1000000001000.00%022.880001100000000.00%000000.00%00000000
16Mason ShawCondors (EDM)C1000-100001010.00%01616.2300002000030016.231100000.00%00000000
17Riley SheahanCondors (EDM)C/LW/RW1000000021110.00%01919.8500012000030019.851600000.00%00000000
18Corey SchuenemanCondors (EDM)D1000-220110000.00%22020.550000300004000.00%000000.00%00000000
19Reese JohnsonCondors (EDM)RW1000-140411000.00%01515.2300000000000015.23200000.00%00000000
Statistiques d’équipe totales ou en moyenne19246-151402191641412.50%528715.112469290000510052.11%7100000.4200000000
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
1Jonas JohanssonCondors (EDM)10100.8184.0060004220000.00%010000
Statistiques d’équipe totales ou en moyenne10100.8184.006000422000010000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Andrew LaddCondors (EDM)LW361985-12-11No205 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Colton SceviourCondors (EDM)LW/RW331989-04-20No190 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$1,167,123$1,200,000$1,167,123$0$0$NoLien
Colton WhiteCondors (EDM)D251997-05-03No185 Lbs6 ft1YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Corey SchuenemanCondors (EDM)D271995-09-02No201 Lbs6 ft0YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Danny DeKeyserCondors (EDM)D321990-03-07No190 Lbs6 ft3YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Dennis GilbertCondors (EDM)D251996-10-30No216 Lbs6 ft2NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Evan FitzpatrickCondors (EDM)G241998-01-27Yes206 Lbs6 ft3NoNoNo4Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$750,000$Lien
Frederic AllardCondors (EDM)D271994-12-27No179 Lbs6 ft1NoNoNo1Pro & Farm921,666$896,415$921,666$896,415$0$0$NoLien
Jeff MalottCondors (EDM)LW261996-08-07Yes201 Lbs6 ft4NoNoNo4Pro & Farm780,000$758,630$780,000$758,630$0$0$No780,000$780,000$780,000$Lien
Jon GilliesCondors (EDM)G281994-01-21No223 Lbs6 ft6NoNoNo2Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$Lien
Jonas JohanssonCondors (EDM)G271995-09-18No220 Lbs6 ft5NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Josh DunneCondors (EDM)C231998-12-08Yes210 Lbs6 ft4NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Karson KuhlmanCondors (EDM)RW271995-09-26No185 Lbs5 ft11YesNoNo3Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$725,000$Lien
Marc-Edouard VlasicCondors (EDM)D351987-03-30No205 Lbs6 ft1YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Marian StudenicCondors (EDM)RW231998-10-28No163 Lbs6 ft1YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Mason ShawCondors (EDM)C231998-11-02No180 Lbs5 ft9NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Matt LuffCondors (EDM)RW251997-05-05No196 Lbs6 ft2NoNoNo4Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$750,000$Lien
Matthew VillaltaCondors (EDM)G231999-06-03Yes165 Lbs6 ft4NoNoNo2Pro & Farm927,500$902,089$927,500$902,089$0$0$No927,500$Lien
Mattias JanmarkCondors (EDM)C/LW291992-12-08No195 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Mike HardmanCondors (EDM)LW/RW231999-02-05Yes205 Lbs6 ft2NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Reese JohnsonCondors (EDM)RW241998-07-10No193 Lbs6 ft1YesNoNo3Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$Lien
Riley SheahanCondors (EDM)C/LW/RW301991-12-07No216 Lbs6 ft2NoNoNo1Pro & Farm900,000$875,342$900,000$875,342$0$0$NoLien
Tarmo ReunanenCondors (EDM)D241998-03-01Yes179 Lbs6 ft0NoNoNo4Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$925,000$Lien
Thomas NovakCondors (EDM)C251997-04-28Yes179 Lbs6 ft1YesNoNo3Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$Lien
Vinni LettieriCondors (EDM)C/RW271995-02-06No185 Lbs5 ft11YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
William LagessonCondors (EDM)D261996-02-22No207 Lbs6 ft2NoNoNo2Pro & Farm725,000$705,137$450,000$437,671$0$0$No725,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.81195 Lbs6 ft22.19878,045$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff MalottRiley SheahanColton Sceviour35122
2Mike HardmanThomas NovakVinni Lettieri30122
3Reese JohnsonMason ShawKarson Kuhlman25122
4Karson KuhlmanMatt LuffReese Johnson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc-Edouard VlasicWilliam Lagesson35122
2Corey SchuenemanColton White30122
3Danny DeKeyserTarmo Reunanen25122
4Danny DeKeyserWilliam Lagesson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff MalottKarson KuhlmanRiley Sheahan60122
2Mike HardmanThomas NovakMason Shaw40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc-Edouard VlasicWilliam Lagesson60122
2Corey SchuenemanColton White40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jeff MalottThomas Novak60122
2Riley SheahanKarson Kuhlman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc-Edouard VlasicWilliam Lagesson60122
2Corey SchuenemanColton White40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Karson Kuhlman60122Marc-Edouard VlasicWilliam Lagesson60122
2Colton Sceviour40122Corey SchuenemanColton White40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Colton SceviourJeff Malott60122
2Thomas NovakKarson Kuhlman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tarmo ReunanenWilliam Lagesson60122
2Corey SchuenemanColton White40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff MalottRiley SheahanColton SceviourMarc-Edouard VlasicWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff MalottRiley SheahanColton SceviourMarc-Edouard VlasicWilliam Lagesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marian Studenic, Karson Kuhlman, Mason ShawMarian Studenic, Karson KuhlmanMason Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Tarmo Reunanen, Corey SchuenemanWilliam LagessonTarmo Reunanen, Corey Schueneman
Tirs de pénalité
Reese Johnson, Marian Studenic, Mike Hardman, Karson Kuhlman, Thomas Novak
Gardien
#1 : Jonas Johansson, #2 : Jon Gillies
Lignes d’attaque personnalisées en prolongation
Riley Sheahan, Colton Sceviour, Vinni Lettieri, Karson Kuhlman, Thomas Novak, Reese Johnson, Reese Johnson, Jeff Malott, Mike Hardman, Marian Studenic, Mason Shaw
Lignes de défense personnalisées en prolongation
Tarmo Reunanen, William Lagesson, Corey Schueneman, Colton White, Marc-Edouard Vlasic


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
1Soldiers1010000024-21010000024-20000000000000.00024600110016754022514214250.00%7185.71%0183060.00%112544.00%81650.00%2013267136
Total1010000024-21010000024-20000000000000.00024600110016754022514214250.00%7185.71%0183060.00%112544.00%81650.00%2013267136
_Since Last GM Reset1010000024-21010000024-20000000000000.00024600110016754022514214250.00%7185.71%0183060.00%112544.00%81650.00%2013267136
_Vs Conference1010000024-21010000024-20000000000000.00024600110016754022514214250.00%7185.71%0183060.00%112544.00%81650.00%2013267136

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L124616225142100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000024
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000024
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4250.00%7185.71%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
75401100
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
183060.00%112544.00%81650.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2013267136


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
1 - 2022-10-091Soldiers4Condors2BLSommaire du match
5 - 2022-10-1314Condors-Sound Tigers-
7 - 2022-10-1527Sound Tigers-Condors-
8 - 2022-10-1633Condors-Monarchs-
9 - 2022-10-1747Condors-Admirals-
11 - 2022-10-1957Soldiers-Condors-
13 - 2022-10-2171Sound Tigers-Condors-
15 - 2022-10-2384Condors-Stars-
16 - 2022-10-2494Wolves-Condors-
18 - 2022-10-26101Condors-Griffins-
20 - 2022-10-28113Condors-Sharks-
22 - 2022-10-30123Phantoms-Condors-
24 - 2022-11-01137Moose-Condors-
25 - 2022-11-02147Condors-Moose-
27 - 2022-11-04159Condors-Sound Tigers-
28 - 2022-11-05168Griffins-Condors-
30 - 2022-11-07180Condors-Admirals-
32 - 2022-11-09190Rampage-Condors-
36 - 2022-11-13203Condors-Wolves-
39 - 2022-11-16213IceHogs-Condors-
41 - 2022-11-18220Condors-Stars-
42 - 2022-11-19234Condors-Soldiers-
44 - 2022-11-21241Phantoms-Condors-
47 - 2022-11-24256Wolves-Condors-
49 - 2022-11-26271Moose-Condors-
50 - 2022-11-27278Condors-Monarchs-
51 - 2022-11-28288Condors-Monsters-
53 - 2022-11-30300Admirals-Condors-
54 - 2022-12-01310Condors-Monsters-
56 - 2022-12-03321IceHogs-Condors-
58 - 2022-12-05336Condors-Penguins-
60 - 2022-12-07342Sharks-Condors-
62 - 2022-12-09358Condors-Admirals-
65 - 2022-12-12366Condors-Griffins-
66 - 2022-12-13373Soldiers-Condors-
67 - 2022-12-14387Wolves-Condors-
69 - 2022-12-16403Condors-Sound Tigers-
72 - 2022-12-19410Marlies-Condors-
74 - 2022-12-21425Condors-Sound Tigers-
75 - 2022-12-22433Rampage-Condors-
77 - 2022-12-24447Moose-Condors-
78 - 2022-12-25453Condors-Flames-
81 - 2022-12-28470Crunch-Condors-
83 - 2022-12-30478Condors-Wolf Pack-
85 - 2023-01-01490Sound Tigers-Condors-
87 - 2023-01-03498Condors-Griffins-
90 - 2023-01-06512Monarchs-Condors-
91 - 2023-01-07519Condors-Moose-
93 - 2023-01-09534Sound Tigers-Condors-
95 - 2023-01-11543Condors-IceHogs-
99 - 2023-01-15558Condors-Sharks-
100 - 2023-01-16566Rocket-Condors-
103 - 2023-01-19580Soldiers-Condors-
105 - 2023-01-21590Condors-Senators-
107 - 2023-01-23601Soldiers-Condors-
108 - 2023-01-24607Condors-Senators-
110 - 2023-01-26623Condors-Rocket-
112 - 2023-01-28628Penguins-Condors-
114 - 2023-01-30638Condors-Rampage-
116 - 2023-02-01649Condors-Moose-
117 - 2023-02-02656Admirals-Condors-
118 - 2023-02-03664Condors-Monarchs-
121 - 2023-02-06677Condors-Stars-
123 - 2023-02-08682Stars-Condors-
126 - 2023-02-11698Monarchs-Condors-
128 - 2023-02-13713Condors-Monsters-
129 - 2023-02-14718Condors-Monarchs-
131 - 2023-02-16724Sharks-Condors-
132 - 2023-02-17731Condors-Sharks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
136 - 2023-02-21748Bruins-Condors-
141 - 2023-02-26768Phantoms-Condors-
145 - 2023-03-02788Bruins-Condors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,7391,000
Assistance PCT86.95%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2739 - 91.30% 83,451$83,451$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
75,559$ 2,282,917$ 2,255,417$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 61,859$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,920,785$ 142 19,061$ 2,706,662$




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