Connexion

Condors
GP: 18 | W: 8 | L: 7 | OTL: 3 | P: 19
GF: 45 | GA: 50 | PP%: 12.50% | PK%: 90.91%
DG: Christian Nolet | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #192 vs Eagles
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Centre de jeu
Phantoms
11-6-0, 22pts
1
FINAL
0 Condors
8-7-3, 19pts
Team Stats
W3SéquenceOTL1
5-4-0Fiche domicile4-4-0
6-2-0Fiche domicile4-3-3
7-3-0Derniers 10 matchs3-5-2
2.82Buts par match 2.50
2.41Buts contre par match 2.78
14.95%Pourcentage en avantage numérique12.50%
87.85%Pourcentage en désavantage numérique90.91%
Condors
8-7-3, 19pts
1
FINAL
2 Marlies
6-10-1, 13pts
Team Stats
OTL1SéquenceW2
4-4-0Fiche domicile4-5-0
4-3-3Fiche domicile2-5-1
3-5-2Derniers 10 matchs4-5-1
2.50Buts par match 1.82
2.78Buts contre par match 2.94
12.50%Pourcentage en avantage numérique9.41%
90.91%Pourcentage en désavantage numérique88.54%
Condors
8-7-3, 19pts
Jour 34
Eagles
11-6-0, 22pts
Statistiques d’équipe
OTL1SéquenceW5
4-4-0Fiche domicile6-2-0
4-3-3Fiche visiteur5-4-0
3-5-210 derniers matchs7-3-0
2.50Buts par match 2.18
2.78Buts contre par match 2.18
12.50%Pourcentage en avantage numérique11.88%
90.91%Pourcentage en désavantage numérique92.22%
Marlies
6-10-1, 13pts
Jour 35
Condors
8-7-3, 19pts
Statistiques d’équipe
W2SéquenceOTL1
4-5-0Fiche domicile4-4-0
2-5-1Fiche visiteur4-3-3
4-5-110 derniers matchs3-5-2
1.82Buts par match 2.50
2.94Buts contre par match 2.50
9.41%Pourcentage en avantage numérique12.50%
88.54%Pourcentage en désavantage numérique90.91%
Barracuda
10-6-1, 21pts
Jour 37
Condors
8-7-3, 19pts
Statistiques d’équipe
L1SéquenceOTL1
5-3-0Fiche domicile4-4-0
5-3-1Fiche visiteur4-3-3
6-4-010 derniers matchs3-5-2
2.35Buts par match 2.50
2.18Buts contre par match 2.50
11.34%Pourcentage en avantage numérique12.50%
87.85%Pourcentage en désavantage numérique90.91%
Meneurs d'équipe
Buts
Vinni Lettieri
8
Passes
Mason Shaw
10
Points
Trey Fix-Wolansky
15
Plus/Moins
Colton White
2
Victoires
Pavel Francouz
5
Pourcentage d’arrêts
Jon Gillies
0.938

Statistiques d’équipe
Buts pour
45
2.50 GFG
Tirs pour
337
18.72 Avg
Pourcentage en avantage numérique
12.5%
13 GF
Début de zone offensive
39.9%
Buts contre
50
2.78 GAA
Tirs contre
315
17.50 Avg
Pourcentage en désavantage numérique
90.9%%
9 GA
Début de la zone défensive
37.3%
Informations de l'équipe

Directeur généralChristian Nolet
EntraîneurStephane Robidas
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 60
Espoirs13


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
1Brandon Tanev17XX100.008858848467687358296872837569717450003123,525,000$
2Joshua Dunne (R)0X100.00778070668065676075546265594545635000251925,000$
3Hunter McKown (R)0X100.0075438565686149768063556425454562500N02131,397,917$
4Matt Luff0X100.00774499687355675525606066255757645000263750,000$
5Vinni Lettieri0XX100.00736982676968686880636867655353685000282750,000$
6Karson Kuhlman0X100.00734394716762636025595773256061645000272750,000$
7Marian Studenic0XX100.00696285726273766350606262594849645000242750,000$
8Mason Shaw (R)0XX100.00809964676759806152636278255151675000244750,000$
9Tyler Pitlick0X100.008245927775566760446260692566666650003111,750,000$
10Antonio Stranges (R)0XX100.00726099656059596379626063574444645000213893,333$
11Reese Johnson0XX100.00966981637259686067545877255656655000252925,000$
12Trey Fix-Wolansky (R)0X100.00696481686478807150687064674545705000243925,000$
13Marcus Bjork (R)0X100.0079446667767581762558507525474763500N0253950,000$
14Filip Roos (R)0X100.0071439163746969692550487125454560500N0243956,250$
15Justin Barron (R)0X100.007844857775707465256250702548486350002111,158,333$
16Jordan Gross (R)0X100.0069429566667682722539616525464664500N0283787,500$
17William Lagesson0X100.00757379727367705625484964475050595000271750,000$
Rayé
1Mike Hardman (R)0XX100.00787681687675815250524763454444575000241925,000$
2Jeff Malott (R)0X100.00747668627678836150566263594444645000273780,000$
3Angus Crookshank (R)0X100.00726687676657566250556563624444645000244838,333$
4Garrett Pilon (R)0X100.00696286686271745974565860554444625000251750,000$
5Ruslan Iskhakov (R)0X100.00615379665364646379626157584444625000234925,000$
6Colton White0X92.33694294667165615925504777256060595000262750,000$
7Dennis Gilbert0X100.00899968618358685625504866254848585000261762,500$
8Frederic Allard0X100.00696676616660644725364159395151505000251750,000$
9Corey Schueneman0X100.00787388657373795125454163394646555000272750,000$
10Otto Leskinen (R)0X100.00686674676654565025464058384444515000261750,000$
MOYENNE D’ÉQUIPE99.7075628368706670614556566742505062500
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
1Jon Gillies0100.0046486089444550534647304747485000291750,000$
2Matt Villalta (R)0100.0059546865616156636160304444595000241927,500$
Rayé
1Pavel Francouz0100.0070525165776477727770954748705000331950,000$
MOYENNE D’ÉQUIPE100.005851607361576163615952464659500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Stephane Robidas72827479706883CAN473500,000$


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
1Trey Fix-WolanskyCondors (EDM)RW18691506042430112820.00%233918.854269780001511030.77%6500000.8800000101
2Mason ShawCondors (EDM)C/LW1841014013518173971610.26%225614.25167871000031038.46%1300001.0900010100
3Reese JohnsonCondors (EDM)C/RW185914-112032202251722.73%426614.80044574000001053.57%28000001.0500000112
4Vinni LettieriCondors (EDM)C/RW188311-26010272952527.59%033318.542139851012542056.31%29300000.6600000121
5Brandon TanevCondors (EDM)LW/RW18279-716028354912264.08%537420.8303312860002821034.41%18600000.4800000200
6Marcus BjorkCondors (EDM)D18369-840031251661018.75%1039521.953251577000068010%000000.4600000110
7Colton WhiteCondors (EDM)D18268214024101571213.33%1736620.35213873000270100%000000.4400000010
8Tyler PitlickCondors (EDM)RW18268-6401819216119.52%436120.101126810000760034.62%2600000.4400000002
9Justin BarronCondors (EDM)D18156-1140181411679.09%1041623.15033878000080000%000000.2900000000
10Marian StudenicCondors (EDM)LW/RW18325-31559161641918.75%023513.080000110000190036.36%1100000.4200100000
11William LagessonCondors (EDM)D1805503002674030%428615.9300011800004000%000000.3500000000
12Antonio StrangesCondors (EDM)C/LW184150403894344.44%11297.2000001000000037.50%800000.7700000000
13Hunter McKownCondors (EDM)C18134-31201628153136.67%220311.3200000000030052.22%18000000.3900000000
14Filip RoosCondors (EDM)D18033-160141211310%1530817.16000312000042000%000000.1900000001
15Matt LuffCondors (EDM)RW1821316069102720.00%11799.95000040001380023.08%3900000.3400000000
16Jordan GrossCondors (EDM)D18033214012982110%1238321.28011476011174000%000000.1600000000
17Karson KuhlmanCondors (EDM)RW18213-4140522271157.41%223413.02000013000001047.37%1900000.2600000100
18Joshua DunneCondors (EDM)C180110241010185110%01437.95000120000120057.26%11700000.1400002000
Statistiques d’équipe totales ou en moyenne3244581126-41240202843203378522513.35%91521416.091324378984911296848148.42%123700000.4800112857
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
1Pavel FrancouzCondors (EDM)105400.8223.32488202715200000100000
2Matt VillaltaCondors (EDM)113320.8502.50529202214700000810000
3Jon GilliesCondors (EDM)20010.9380.8670001160000008000
Statistiques d’équipe totales ou en moyenne238730.8412.761088405031500001818000


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 Ballotage forcé Waiver Possible 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 10Lien
Angus CrookshankCondors (EDM)LW241999-02-10Yes181 Lbs5 ft11NoNoNoNo4Pro & Farm838,333$659,849$838,333$659,849$0$0$No838,333$838,333$838,333$Lien
Antonio StrangesCondors (EDM)C/LW212002-05-02Yes168 Lbs5 ft10NoNoNoNo3Pro & Farm893,333$703,140$893,333$703,140$0$0$No893,333$893,333$
Brandon TanevCondors (EDM)LW/RW311991-12-31No180 Lbs6 ft0NoNoNoNo2Pro & Farm3,525,000$2,774,516$3,525,000$2,774,516$0$0$No3,525,000$Lien
Colton White (sur la masse salariale)Condors (EDM)D261997-05-03No190 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$Yes750,000$Lien
Corey SchuenemanCondors (EDM)D271995-09-02No200 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Dennis GilbertCondors (EDM)D261996-10-30No216 Lbs6 ft2NoNoNoNo1Pro & Farm762,500$600,161$762,500$600,161$0$0$NoLien
Filip RoosCondors (EDM)D241999-05-01Yes190 Lbs6 ft4YesNoNoNo3Pro & Farm956,250$752,661$956,250$752,661$0$0$No956,250$956,250$Lien
Frederic AllardCondors (EDM)D251997-12-27No179 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Garrett PilonCondors (EDM)C251998-04-13Yes174 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Hunter McKownCondors (EDM)C212002-08-18Yes183 Lbs6 ft1YesNoNoNo3Pro & Farm1,397,917$1,100,296$1,397,917$1,100,296$0$0$No1,397,917$1,397,917$Lien
Jeff MalottCondors (EDM)LW271996-08-07Yes201 Lbs6 ft3NoNoNoNo3Pro & Farm780,000$613,935$780,000$613,935$0$0$No780,000$780,000$Lien
Jon GilliesCondors (EDM)G291994-01-21No216 Lbs6 ft5NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Jordan GrossCondors (EDM)D281995-05-09Yes185 Lbs5 ft10YesNoNoNo3Pro & Farm787,500$619,839$787,500$619,839$0$0$No787,500$787,500$Lien
Joshua DunneCondors (EDM)C251998-08-12Yes210 Lbs6 ft4NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Justin BarronCondors (EDM)D212001-11-15Yes201 Lbs6 ft2NoNoNoNo1Pro & Farm1,158,333$911,720$450,000$354,194$0$0$NoLien
Karson KuhlmanCondors (EDM)RW271995-09-26No185 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Marcus BjorkCondors (EDM)D251997-11-24Yes203 Lbs6 ft3YesNoNoNo3Pro & Farm950,000$747,742$950,000$747,742$0$0$No950,000$950,000$Lien
Marian StudenicCondors (EDM)LW/RW241998-10-28No165 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Mason ShawCondors (EDM)C/LW241998-11-02Yes181 Lbs5 ft9NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$750,000$Lien
Matt LuffCondors (EDM)RW261997-05-05No196 Lbs6 ft2NoNoNoNo3Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$Lien
Matt VillaltaCondors (EDM)G241999-03-06Yes170 Lbs6 ft2NoNoNoNo1Pro & Farm927,500$730,032$927,500$730,032$0$0$NoLien
Mike HardmanCondors (EDM)LW/RW241999-02-05Yes205 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Otto LeskinenCondors (EDM)D261997-06-02Yes183 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Pavel FrancouzCondors (EDM)G331990-06-03No179 Lbs6 ft0NoNoNoNo1Pro & Farm950,000$747,742$950,000$747,742$0$0$NoLien
Reese JohnsonCondors (EDM)C/RW251998-07-10No192 Lbs6 ft1NoNoNoNo2Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$Lien
Ruslan IskhakovCondors (EDM)C232000-07-22Yes152 Lbs5 ft7NoNoNoNo4Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$925,000$
Trey Fix-WolanskyCondors (EDM)RW241999-05-26Yes185 Lbs5 ft8NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$Lien
Tyler PitlickCondors (EDM)RW311991-11-01No200 Lbs6 ft2NoNoNoNo1Pro & Farm1,750,000$1,377,419$1,750,000$1,377,419$0$0$NoLien
Vinni LettieriCondors (EDM)C/RW281995-02-06No191 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
William LagessonCondors (EDM)D271996-02-22No196 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.70189 Lbs6 ft12.07976,722$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon TanevVinni LettieriTyler Pitlick35122
2Mason ShawReese JohnsonTrey Fix-Wolansky30122
3Marian StudenicHunter McKownKarson Kuhlman25122
4Antonio StrangesJoshua DunneMatt Luff10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronMarcus Bjork35122
2Jordan Gross30122
3William LagessonFilip Roos25122
4Justin BarronMarcus Bjork10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon TanevVinni LettieriTyler Pitlick60122
2Mason ShawReese JohnsonTrey Fix-Wolansky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronMarcus Bjork60122
2Jordan Gross40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brandon TanevTyler Pitlick60122
2Trey Fix-WolanskyVinni Lettieri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronMarcus Bjork60122
2Jordan Gross40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brandon Tanev60122Justin BarronMarcus Bjork60122
2Tyler Pitlick40122Jordan Gross40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon TanevTyler Pitlick60122
2Trey Fix-WolanskyVinni Lettieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronMarcus Bjork60122
2Jordan Gross40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon TanevVinni LettieriTyler PitlickJustin BarronMarcus Bjork
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon TanevVinni LettieriTyler PitlickJustin BarronMarcus Bjork
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Karson Kuhlman, Marian Studenic, Matt LuffKarson Kuhlman, Marian StudenicMatt Luff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Filip Roos, Jordan GrossWilliam LagessonFilip Roos, Jordan Gross
Tirs de pénalité
Brandon Tanev, Tyler Pitlick, Trey Fix-Wolansky, Vinni Lettieri, Karson Kuhlman
Gardien
#1 : Matt Villalta, #2 : Jon Gillies
Lignes d’attaque personnalisées en prolongation
Brandon Tanev, Tyler Pitlick, Trey Fix-Wolansky, Vinni Lettieri, Karson Kuhlman, Reese Johnson, Reese Johnson, Mason Shaw, Marian Studenic, Matt Luff, Hunter McKown
Lignes de défense personnalisées en prolongation
Justin Barron, Marcus Bjork, Jordan Gross, , William Lagesson


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
167s21000100550000000000002100010055030.75059140018111513413386114438534417114.29%140100.00%024849050.61%21045845.85%14127950.54%434295419135234116
2Barracuda32100000853110000004222110000043140.66781422001811151491338611443613405814428.57%18194.44%024849050.61%21045845.85%14127950.54%434295419135234116
3Gulls3100110011101110000005412000110066050.833112132001811151581338611445415312914321.43%11190.91%024849050.61%21045845.85%14127950.54%434295419135234116
4Heat2020000048-41010000024-21010000024-200.00047110018111514913386114440830318112.50%12191.67%024849050.61%21045845.85%14127950.54%434295419135234116
5Marlies1000010012-1000000000001000010012-110.5001120018111511213386114423810116116.67%5180.00%024849050.61%21045845.85%14127950.54%434295419135234116
6Monarchs20200000511-61010000026-41010000035-200.000591400181115137133861144571634321417.14%17476.47%124849050.61%21045845.85%14127950.54%434295419135234116
7Moose22000000743110000003211100000042241.000712190018111514613386114425818322200.00%9188.89%024849050.61%21045845.85%14127950.54%434295419135234116
8Phantoms1010000001-11010000001-10000000000000.00000000181115119133861144661010700.00%30100.00%024849050.61%21045845.85%14127950.54%434295419135234116
9Thunderbird11000000303110000003030000000000021.0003690118111511913386114412919168225.00%20100.00%024849050.61%21045845.85%14127950.54%434295419135234116
10Wolves1010000014-31010000014-30000000000000.000123001811151141338611442431824400.00%80100.00%024849050.61%21045845.85%14127950.54%434295419135234116
Total1877013004550-5844000002023-31033013002527-2190.5284581126011811151337133861144315912442841041312.50%99990.91%124849050.61%21045845.85%14127950.54%434295419135234116
_Since Last GM Reset1877013004550-5844000002023-31033013002527-2190.5284581126011811151337133861144315912442841041312.50%99990.91%124849050.61%21045845.85%14127950.54%434295419135234116
_Vs Conference1264011003534164200000181806220110017161150.62535649901181115122313386114420864160191761013.16%65789.23%124849050.61%21045845.85%14127950.54%434295419135234116
_Vs Division1253011003538-3531000001618-2722011001920-1130.5423563980018111512391338611442126015318272912.50%67888.06%124849050.61%21045845.85%14127950.54%434295419135234116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1819OTL145811263373159124428401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
187713004550
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84400002023
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
103313002527
Derniers 10 matchs
WLOTWOTL SOWSOL
350200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1041312.50%99990.91%1
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
1338611441811151
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
24849050.61%21045845.85%14127950.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
434295419135234116


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
13Condors2Heat4ALSommaire du match
311Condors367s4ALXSommaire du match
621Thunderbird0Condors3BWSommaire du match
834Heat4Condors2BLSommaire du match
939Condors3Barracuda1AWSommaire du match
1156Gulls4Condors5BWSommaire du match
1368Condors4Moose2AWSommaire du match
1578Barracuda2Condors4BWSommaire du match
1786Condors3Monarchs5ALSommaire du match
1897Condors2Gulls1AWXSommaire du match
19107Wolves4Condors1BLSommaire du match
22123Moose2Condors3BWSommaire du match
24136Condors267s1AWSommaire du match
26145Monarchs6Condors2BLSommaire du match
27153Condors1Barracuda2ALSommaire du match
28159Condors4Gulls5ALXSommaire du match
31174Phantoms1Condors0BLSommaire du match
32186Condors1Marlies2ALXSommaire du match
34192Condors-Eagles-
35198Marlies-Condors-
37216Barracuda-Condors-
40229Condors-IceHogs-
41238Monsters-Condors-
43250Condors-Penguins-
44260Condors-Thunderbird-
45263Phantoms-Condors-
47281Condors-Eagles-
48285Griffins-Condors-
51302Condors-IceHogs-
52308Gulls-Condors-
54325Condors-Griffins-
56330IceHogs-Condors-
59348Heat-Condors-
62364Condors-Stars-
63369Stars-Condors-
65380Condors-Barracuda-
67391Gulls-Condors-
69403Condors-Phantoms-
71414Condors-Wolves-
72418Monarchs-Condors-
75437Eagles-Condors-
77454Penguins-Condors-
79466Condors-Bruins-
81477Moose-Condors-
83488Condors-Thunderbird-
84497Thunderbird-Condors-
86504Condors-Moose-
88517Heat-Condors-
91531Condors-Rocket-
92541Marlies-Condors-
94555Barracuda-Condors-
96567Condors-Wolves-
97575Condors-Wolf Pack-
99587Wolves-Condors-
101597Condors-67s-
10260867s-Condors-
104615Condors-Monarchs-
106630Moose-Condors-
108638Condors-Moose-
110648Condors-Griffins-
111657Wolf Pack-Condors-
114671Condors-Stars-
115678Condors-Crunch-
116684Sound Tigers-Condors-
118698Condors-Heat-
119704Rocket-Condors-
121721Thunderbird-Condors-
124735Condors-Griffins-
125744Thunderbird-Condors-
127761Crunch-Condors-
130771Condors-Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132783IceHogs-Condors-
133794Condors-Monsters-
134804Condors-Monarchs-
136811Bruins-Condors-
139827Stars-Condors-
144845Phantoms-Condors-
145854Condors-Heat-
146861Condors-67s-
148872Eagles-Condors-
150884Monarchs-Condors-
151886Condors-Sound Tigers-



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
28 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
720,884$ 2,855,166$ 2,784,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 614,427$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 21,646$ 2,640,812$




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