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Condors
GP: 80 | W: 44 | L: 26 | OTL: 10 | P: 98
GF: 320 | GA: 306 | PP%: 18.85% | PK%: 82.56%
DG: Jean-Pierre Labrie | Morale : 49 | Moyenne d’équipe : 65
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Centre de jeu
Condors
44-26-10, 98pts
3
FINAL
2 Reign
41-32-7, 89pts
Team Stats
L1StreakL1
21-13-6Home Record21-15-4
23-13-4Away Record20-17-3
8-1-1Last 10 Games5-3-2
4.00Buts par match 4.25
3.83Buts contre par match 4.18
18.85%Pourcentage en avantage numérique22.94%
82.56%Pourcentage en désavantage numérique78.81%
Griffins
38-31-11, 87pts
3
FINAL
2 Condors
44-26-10, 98pts
Team Stats
W1StreakL1
21-14-5Home Record21-13-6
17-17-6Away Record23-13-4
4-5-1Last 10 Games8-1-1
3.98Buts par match 4.00
4.10Buts contre par match 3.83
19.39%Pourcentage en avantage numérique18.85%
76.77%Pourcentage en désavantage numérique82.56%
Meneurs d'équipe
Buts
Robby Fabbri
43
Passes
Mark Jankowski
54
Points
Robby Fabbri
87
Plus/Moins
Robby Fabbri
25
Victoires
Carter Hart
28
Pourcentage d’arrêts
Carter Hart
0.891

Statistiques d’équipe
Buts pour
320
4.00 GFG
Tirs pour
2627
32.84 Avg
Pourcentage en avantage numérique
18.8%
59 GF
Début de zone offensive
36.8%
Buts contre
306
3.83 GAA
Tirs contre
2652
33.15 Avg
Pourcentage en désavantage numérique
82.6%%
60 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralJean-Pierre Labrie
EntraîneurDave Semenko
DivisionThayer-Tutt
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,817
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure19
Limite contact 55 / 250
Espoirs0


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
1Anton Slepyshev (R)X100.007727787380757674737580626961534269720232800,000$
2Jake Virtanen (R)X100.007639757383668177717478606152475468710211800,000$
3Mark Jankowski (R)X100.007422837078767771767577657057464869710231950,000$
4Robby Fabbri (R)X100.0074438374717576777178716169514461507102121,000,000$
5Tyler BozakX100.006941737471717771737071647180811753700311500,000$
6Adam Erne (R)X100.007335737375657074697177645949474856690221975,000$
7Phil McRaeX100.007343767268707573666774687255522769690271700,000$
8Jesse Puljujarvi (R)X100.006933756287766569687279547143427769680191500,000$
9Kailer Yamamoto (R)X100.006750817462686466656773517343417068650192500,000$
10Patrik Laine (R)X100.005928777573747071595979457343428347650191500,000$
11Clayton Keller (R)X100.005426747059626667747668405042416735620191500,000$
12Michael Rasmussen (R)X100.006026705475616260646571465740408369600182500,000$
13Zac Leslie (R)X100.007647777771727073486364806666504431720232900,000$
14Brett Lernout (R)X100.007131737180746161517559785350455356700211900,000$
15Alexandre Carrier (R)X100.005531807764677479427265745152455848680212800,000$
16Jack Dougherty (R)X100.007239747268676970646865686650455755670211500,000$
17Philippe Myers (R)X100.006535807571626466517062725645446842670203800,000$
18Emil Djuse (R)X100.005839856968637061305942714046483269640241500,000$
19Jordan Subban (R)X100.006637745662576769406662605544444336610221500,000$
20Nikolai Knyzhov (R)X100.006736754748646664305866515141416130570191500,000$
Rayé
1Kiefer Sherwood (R)X100.006642715979606474706387546845454820670221500,000$
2Christian ThomasX100.005730807075637468676279536450493521660251600,000$
3Taro Hirose (R)X100.006444747053706867817671385547465019640212500,000$
4Connor Hurley (R)X100.005942706069596665697066606944464120630223500,000$
5C.J. Smith (R)X100.007342725965636764596565547146495620620234650,000$
6Colin White (R)X100.005927846569766450616747635942425520610203500,000$
7Cole Cassels (R)X100.006535697169638063516260544744444420600223600,000$
8Remi Elie (R)X100.004740786752646466686463495844444120600221500,000$
9Jeremy Gregoire (R)X100.006546636668516365586158554344444320590221400,000$
10Gustav Olofsson (R)X100.006936807069656465467155606048493933650231500,000$
11Lucas Johansen (R)X100.005637645554626157395553584842425120560201500,000$
12Robin Salo (R)X100.006032676154665157425151504841426120540192500,000$
MOYENNE D’ÉQUIPE100.00653675686866686759676759604846524265
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
1Carter Hart (R)100.00548867747270728784736347447669730191500,000$
2Mikko Koskinen (R)100.00845267858155647884628859566166720294900,000$
Rayé
1Jack Campbell100.00716969655772696263636447472920640251600,000$
2Arvid Soderblom (R)100.00526275494861674853715640407920570182500,000$
MOYENNE D’ÉQUIPE100.0065687068656568697167684847614467
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Semenko73796671916353CAN542500,000$


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
1Robby FabbriCondors (Edm)LW6243448725200100602357213018.30%31129520.901112233520410131437349.09%1105821021.3415000669
2Mark JankowskiCondors (Edm)C8030548452001321492326813912.93%46164020.511015254225912392624050.66%18084236001.0249000254
3Jake VirtanenCondors (Edm)RW793738755360118852698815413.75%32137317.3871118292011122576157.14%915427011.093130004100
4Dennis EverbergOilersRW44264066110074551656711815.76%4399322.59714211812000041373052.59%2515116111.3303000654
5Adam ErneCondors (Edm)LW75213253-554090861647111012.80%37109214.562571010601171242041.67%483012010.9723000232
6Phil McRaeCondors (Edm)C80212445-122809882157529713.38%2395511.941124360002160247.96%5383411010.9423000500
7Tyler BozakCondors (Edm)C32202343174156163101255919.80%2367621.14851319950004690255.76%8681510011.2733001323
8Patrik LaineCondors (Edm)LW7021224382207356138387315.22%1098414.07358131461013293151.02%49238000.8703000311
9Alexandre CarrierCondors (Edm)D768293775205914012645506.35%98173222.80426162310115234100.00%03357000.4301000011
10Brett LernoutCondors (Edm)D702323413111510212310346431.94%128173924.86077102100005240100.00%01766000.3911001022
11Jesse PuljujarviCondors (Edm)RW80122234-3420986713038849.23%21110213.7816791630001134152.31%652311000.6212000221
12Anton SlepyshevCondors (Edm)LW35101727-5200594996327910.42%1763018.0235877010151171258.70%462915000.8635000201
13Jack DoughertyCondors (Edm)D74323261461075776725244.48%85137118.5317851780111176000.00%01734000.3800110003
14Zac LeslieCondors (Edm)D5652126-7440971069441525.32%92138124.68369101940222152110.00%02842000.3800000200
15Kailer YamamotoCondors (Edm)RW79141024-161405544131297310.69%147829.90000012000001347.37%193217000.6111000003
16Christian ThomasCondors (Edm)LW4441519-410041348128544.94%1561714.040003550002650045.00%20194000.6200000112
17Philippe MyersCondors (Edm)D6501616126048815420190.00%58115517.7701151150220118000.00%0838000.2800000000
18Taro HiroseCondors (Edm)LW447916-16025352222813.46%53217.3000002000030241.67%12101001.0000000100
19Michael RasmussenCondors (Edm)C804812-422053352292118.18%106798.50000090000781050.00%25446000.3500000000
20Clayton KellerCondors (Edm)RW3428106100125298296.90%32437.18000000000010100.00%691000.8200000000
21Emil DjuseCondors (Edm)D8007778027632313220.00%3790111.27000029000083000.00%0021000.1601000000
22C.J. SmithCondors (Edm)LW3325706031141961410.53%22296.9700001000000050.00%623000.6100000010
23Gustav OlofssonCondors (Edm)D57044-314031622711110.00%3981914.37000357000291000.00%0816000.1000000000
24Jordan SubbanCondors (Edm)D5004410140171910410.00%204138.2800002000010000.00%0016000.1900000000
25Kiefer SherwoodCondors (Edm)RW13314-460109148921.43%4977.4900000000001166.67%352000.8200000001
26Nikolai KnyzhovCondors (Edm)D240222201546030.00%42018.380000000008000.00%005000.2000000000
27Colin WhiteCondors (Edm)C10000-200141000.00%1474.7500000000000057.89%1911000.00%00000000
28Connor HurleyCondors (Edm)C1000000000000.00%000.330000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne15272955108054268420160215752546866149611.59%8982348115.3861102163238250551015572235371951.60%4213552497170.692153112393937
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
1Carter HartCondors (Edm)56281570.8913.603086011851694879210.568375030231
2Mikko KoskinenCondors (Edm)35161130.8823.79178802113956533110.600203050211
Statistiques d’équipe totales ou en moyenne914426100.8883.674875032982650141232578080442


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam ErneCondors (Edm)LW221995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm975,000$0$0$NoLien
Alexandre CarrierCondors (Edm)D211996-01-01Yes174 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No900,000$Lien
Anton SlepyshevCondors (Edm)LW231994-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$Lien
Arvid SoderblomCondors (Edm)G181999-01-01Yes180 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brett LernoutCondors (Edm)D211996-01-01Yes214 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
C.J. SmithCondors (Edm)LW231994-01-01Yes184 Lbs5 ft11NoNoNo4Pro & Farm650,000$0$0$No750,000$850,000$975,000$Lien
Carter HartCondors (Edm)G191998-01-01Yes181 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Christian ThomasCondors (Edm)LW251992-01-01No176 Lbs5 ft9NoNoNo1Pro & Farm600,000$0$0$No
Clayton KellerCondors (Edm)RW191998-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
Cole CasselsCondors (Edm)C221995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No700,000$800,000$Lien
Colin WhiteCondors (Edm)C201997-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No600,000$700,000$Lien
Connor HurleyCondors (Edm)C221995-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No600,000$600,000$Lien
Emil DjuseCondors (Edm)D241993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Gustav OlofssonCondors (Edm)D231994-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Jack CampbellCondors (Edm)G251992-01-01No195 Lbs6 ft3NoNoNo1Pro & Farm600,000$0$0$No
Jack DoughertyCondors (Edm)D211996-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Jake VirtanenCondors (Edm)RW211996-01-01Yes226 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien
Jeremy GregoireCondors (Edm)C221995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$NoLien
Jesse PuljujarviCondors (Edm)RW191998-01-01Yes201 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Jordan SubbanCondors (Edm)D221995-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Kailer YamamotoCondors (Edm)RW191998-01-01Yes153 Lbs5 ft8NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Kiefer SherwoodCondors (Edm)RW221995-01-01Yes194 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Lucas JohansenCondors (Edm)D201997-01-01Yes183 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Mark JankowskiCondors (Edm)C231994-01-01Yes168 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$NoLien
Michael RasmussenCondors (Edm)C181999-01-01Yes210 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Mikko KoskinenCondors (Edm)G291988-01-01Yes202 Lbs6 ft7NoNoNo4Pro & Farm900,000$0$0$No1,000,000$2,000,000$2,500,000$Lien
Nikolai KnyzhovCondors (Edm)D191998-01-01Yes203 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Patrik LaineCondors (Edm)LW191998-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Phil McRaeCondors (Edm)C271990-01-01No200 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Philippe MyersCondors (Edm)D201997-01-01Yes210 Lbs6 ft5NoNoNo3Pro & Farm800,000$0$0$No1,000,000$1,500,000$Lien
Remi ElieCondors (Edm)LW221995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Robby FabbriCondors (Edm)LW211996-01-01Yes190 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$0$0$No1,500,000$Lien
Robin SaloCondors (Edm)D191998-01-01Yes192 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Taro HiroseCondors (Edm)LW211996-01-01Yes162 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tyler BozakCondors (Edm)C311986-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Zac LeslieCondors (Edm)D231994-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No1,200,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3621.81189 Lbs6 ft11.64621,528$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Robby FabbriTyler BozakJake Virtanen40122
2Anton SlepyshevMark JankowskiJesse Puljujarvi30122
3Patrik LainePhil McRaeKailer Yamamoto20122
4Adam ErneMichael RasmussenClayton Keller10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieBrett Lernout40122
2Alexandre CarrierJack Dougherty30122
3Philippe MyersEmil Djuse20122
4Jordan SubbanNikolai Knyzhov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton SlepyshevMark JankowskiJake Virtanen60122
2Robby FabbriTyler BozakJesse Puljujarvi40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieBrett Lernout60122
2Alexandre CarrierJack Dougherty40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark JankowskiAnton Slepyshev60122
2Tyler BozakRobby Fabbri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieBrett Lernout60122
2Alexandre CarrierJack Dougherty40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mark Jankowski60122Zac LeslieBrett Lernout60122
2Tyler Bozak40122Alexandre CarrierJack Dougherty40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mark JankowskiAnton Slepyshev60122
2Tyler BozakRobby Fabbri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieBrett Lernout60122
2Alexandre CarrierJack Dougherty40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton SlepyshevMark JankowskiJake VirtanenZac LeslieBrett Lernout
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton SlepyshevMark JankowskiJake VirtanenZac LeslieBrett Lernout
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Bozak, Adam Erne, Phil McRaeTyler Bozak, Adam ErneTyler Bozak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Emil Djuse, Jordan Subban, Nikolai KnyzhovEmil DjuseEmil Djuse, Jordan Subban
Tirs de pénalité
Anton Slepyshev, Jake Virtanen, Robby Fabbri, Mark Jankowski, Tyler Bozak
Gardien
#1 : Carter Hart, #2 : Mikko Koskinen


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
1Admirals3200010016106210001009901100000071650.83316274300961179628100884916806769631245214428.57%12283.33%0948182651.92%958183352.26%680130851.99%171294517077621459725
2Barracuda63201000262513110100014140321000001211180.6672644700096117962819688491680676203758011629620.69%401075.00%0948182651.92%958183352.26%680130851.99%171294517077621459725
3Bears20100001813-51010000037-41000000156-110.2508142200961179628688849168067680201243300.00%6183.33%1948182651.92%958183352.26%680130851.99%171294517077621459725
4Comets210000101266100000104311100000083541.000121729009611796286288491680676531318587114.29%9188.89%0948182651.92%958183352.26%680130851.99%171294517077621459725
5Crunch21000001660110000004311000000123-130.75061016009611796286188491680676602214377342.86%70100.00%1948182651.92%958183352.26%680130851.99%171294517077621459725
6Devils22000000853110000002021100000065141.000891701961179628628849168067665131834400.00%90100.00%1948182651.92%958183352.26%680130851.99%171294517077621459725
7Eagles21100000910-1110000006421010000036-320.50091524009611796286688491680676692022548337.50%11372.73%0948182651.92%958183352.26%680130851.99%171294517077621459725
8Griffins612001202425-13010002014131311001001012-270.5832436600096117962819888491680676164687011932721.88%35682.86%1948182651.92%958183352.26%680130851.99%171294517077621459725
9Heat421001001615131100100111101100000054150.625162844109611796281308849168067612547247617529.41%12466.67%0948182651.92%958183352.26%680130851.99%171294517077621459725
10Icehogs30100011812-41000000134-12010001058-330.500891700961179628106884916806761063626701000.00%13284.62%0948182651.92%958183352.26%680130851.99%171294517077621459725
11Little Stars2020000048-41010000035-21010000013-200.00047110096117962868884916806766530454500.00%2150.00%0948182651.92%958183352.26%680130851.99%171294517077621459725
12Marlies431000001495110000005143210000098160.750142135009611796281378849168067612340268015320.00%14285.71%0948182651.92%958183352.26%680130851.99%171294517077621459725
13Monsters430000012113832000001161061100000053270.875213758009611796281438849168067614848367713323.08%18288.89%0948182651.92%958183352.26%680130851.99%171294517077621459725
14Moose622001011621-530100101612-632100000109160.5001624400096117962818188491680676200707212828310.71%35585.71%2948182651.92%958183352.26%680130851.99%171294517077621459725
15Penguins211000001011-11010000046-21100000065120.500101828009611796286788491680676732617363133.33%6183.33%0948182651.92%958183352.26%680130851.99%171294517077621459725
16Phantoms301010101314-11000100054120100010810-240.6671321340096117962895884916806769732305711218.18%15473.33%0948182651.92%958183352.26%680130851.99%171294517077621459725
17Punishers302000101216-42010001078-11010000058-320.3331218300096117962898884916806761193430615120.00%15566.67%0948182651.92%958183352.26%680130851.99%171294517077621459725
18Rampage30201000912-32020000059-41000100043120.333915240096117962887884916806761033918741616.25%10190.00%0948182651.92%958183352.26%680130851.99%171294517077621459725
19Reign412000101415-11100000054130200010911-240.500142438009611796281478849168067614545286313215.38%14285.71%1948182651.92%958183352.26%680130851.99%171294517077621459725
20Rocket64200000291910321000001293321000001710780.6672949781296117962819188491680676188716711230516.67%27485.19%0948182651.92%958183352.26%680130851.99%171294517077621459725
21Senators311000101192100000103212110000087140.6671114250096117962895884916806761003212741417.14%6183.33%0948182651.92%958183352.26%680130851.99%171294517077621459725
22Sound Tigers211000001012-21010000026-41100000086220.5001017270096117962864884916806767820164410330.00%8362.50%0948182651.92%958183352.26%680130851.99%171294517077621459725
23Thunderbirds21000001981110000005321000000145-130.75091625009611796287688491680676632216502150.00%80100.00%0948182651.92%958183352.26%680130851.99%171294517077621459725
24Wolfpack22000000853110000004221100000043141.000814220096117962873884916806766421103113323.08%50100.00%0948182651.92%958183352.26%680130851.99%171294517077621459725
25Wolves211000007701010000024-21100000053220.50071421009611796285688491680676651914394125.00%70100.00%0948182651.92%958183352.26%680130851.99%171294517077621459725
Total80332603486320306144014130235315415314019130113316615313980.61332051883823961179628262788491680676265289470416393135918.85%3446082.56%7948182651.92%958183352.26%680130851.99%171294517077621459725
_Since Last GM Reset80332603486320306144014130235315415314019130113316615313980.61332051883823961179628262788491680676265289470416393135918.85%3446082.56%7948182651.92%958183352.26%680130851.99%171294517077621459725
_Vs Conference52221502463208187212595023331039310271310001301059411670.64420833454222961179628171988491680676169559549510242264118.14%2414481.74%4948182651.92%958183352.26%680130851.99%171294517077621459725
_Vs Division2410801221959051234011214648-212740010049427290.6049515324812961179628766884916806767552842894751192117.65%1372581.75%3948182651.92%958183352.26%680130851.99%171294517077621459725

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8098L132051883826272652894704163923
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033263486320306
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4014132353154153
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019131133166153
Derniers 10 matchs
WLOTWOTL SOWSOL
610021
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3135918.85%3446082.56%7
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
88491680676961179628
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
948182651.92%958183352.26%680130851.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171294517077621459725


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
3 - 2022-10-2911Moose3Condors2BLXXSommaire du match
5 - 2022-10-3127Griffins4Condors5BWXXR1Sommaire du match
7 - 2022-11-0238Condors6Rocket8ALSommaire du match
9 - 2022-11-0447Condors4Griffins2AWR1Sommaire du match
12 - 2022-11-0760Monsters5Condors4BLXXSommaire du match
15 - 2022-11-1079Condors3Barracuda2AWSommaire du match
17 - 2022-11-1289Condors3Reign4ALSommaire du match
19 - 2022-11-1498Heat4Condors2BLSommaire du match
21 - 2022-11-16109Condors3Marlies2AWSommaire du match
22 - 2022-11-17122Barracuda5Condors6BWXSommaire du match
26 - 2022-11-21139Condors4Moose3AWSommaire du match
28 - 2022-11-23151Moose6Condors2BLSommaire du match
31 - 2022-11-26166Heat4Condors3BLXSommaire du match
32 - 2022-11-27171Condors4Moose3AWSommaire du match
35 - 2022-11-30184Condors3Reign5ALSommaire du match
37 - 2022-12-02198Condors5Phantoms4AWXXSommaire du match
39 - 2022-12-04204Rocket0Condors3BWSommaire du match
43 - 2022-12-08224Condors2Senators4ALSommaire du match
44 - 2022-12-09230Wolves4Condors2BLSommaire du match
47 - 2022-12-12247Condors5Heat4AWSommaire du match
49 - 2022-12-14256Reign4Condors5BWSommaire du match
51 - 2022-12-16263Condors6Penguins5AWSommaire du match
54 - 2022-12-19278Condors6Devils5AWSommaire du match
55 - 2022-12-20285Barracuda7Condors1BLSommaire du match
60 - 2022-12-25304Thunderbirds3Condors5BWSommaire du match
62 - 2022-12-27319Condors2Moose3ALSommaire du match
64 - 2022-12-29326Condors5Punishers8ALSommaire du match
66 - 2022-12-31336Icehogs4Condors3BLXXSommaire du match
68 - 2023-01-02349Condors7Admirals1AWSommaire du match
70 - 2023-01-04361Senators2Condors3BWXXSommaire du match
74 - 2023-01-08383Rampage4Condors2BLSommaire du match
76 - 2023-01-10393Condors4Rampage3AWXSommaire du match
79 - 2023-01-13409Condors6Senators3AWSommaire du match
80 - 2023-01-14413Rocket3Condors5BWSommaire du match
85 - 2023-01-19435Little Stars5Condors3BLSommaire du match
89 - 2023-01-23455Condors5Wolves3AWSommaire du match
90 - 2023-01-24462Sound Tigers6Condors2BLSommaire du match
92 - 2023-01-26480Condors3Icehogs2AWXXSommaire du match
94 - 2023-01-28488Barracuda2Condors7BWSommaire du match
97 - 2023-01-31507Comets3Condors4BWXXSommaire du match
99 - 2023-02-02516Condors2Marlies4ALSommaire du match
101 - 2023-02-04523Condors4Thunderbirds5ALXXSommaire du match
103 - 2023-02-06534Condors5Monsters3AWSommaire du match
104 - 2023-02-07541Rampage5Condors3BLSommaire du match
107 - 2023-02-10559Condors5Griffins6ALXR1Sommaire du match
109 - 2023-02-12567Penguins6Condors4BLSommaire du match
112 - 2023-02-15583Condors3Eagles6ALSommaire du match
114 - 2023-02-17593Bears7Condors3BLSommaire du match
117 - 2023-02-20611Condors3Phantoms6ALSommaire du match
119 - 2023-02-22619Phantoms4Condors5BWXSommaire du match
121 - 2023-02-24630Condors4Marlies2AWSommaire du match
123 - 2023-02-26640Condors3Barracuda5ALSommaire du match
125 - 2023-02-28646Condors1Little Stars3ALSommaire du match
126 - 2023-03-01650Heat3Condors6BWSommaire du match
129 - 2023-03-04673Condors2Crunch3ALXXSommaire du match
130 - 2023-03-05675Admirals3Condors4BWSommaire du match
133 - 2023-03-08694Condors8Sound Tigers6AWSommaire du match
134 - 2023-03-09701Moose3Condors2BLXSommaire du match
139 - 2023-03-14726Punishers6Condors4BLSommaire du match
141 - 2023-03-16739Condors1Griffins4ALR1Sommaire du match
143 - 2023-03-18750Marlies1Condors5BWSommaire du match
148 - 2023-03-23771Condors8Comets3AWSommaire du match
149 - 2023-03-24778Eagles4Condors6BWSommaire du match
152 - 2023-03-27795Condors7Rocket2AWSommaire du match
154 - 2023-03-29803Punishers2Condors3BWXXSommaire du match
156 - 2023-03-31811Condors2Icehogs6ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160 - 2023-04-04831Rocket6Condors4BLSommaire du match
165 - 2023-04-09853Crunch3Condors4BWSommaire du match
169 - 2023-04-13875Condors4Wolfpack3AWSommaire du match
170 - 2023-04-14881Admirals6Condors5BLXSommaire du match
174 - 2023-04-18901Condors6Barracuda4AWSommaire du match
175 - 2023-04-19907Devils0Condors2BWSommaire du match
179 - 2023-04-23925Wolfpack2Condors4BWSommaire du match
181 - 2023-04-25934Condors5Bears6ALXXSommaire du match
184 - 2023-04-28949Condors4Rocket0AWSommaire du match
185 - 2023-04-29959Monsters3Condors5BWSommaire du match
191 - 2023-05-05982Griffins6Condors7BWXXR1Sommaire du match
197 - 2023-05-111006Monsters2Condors7BWSommaire du match
200 - 2023-05-141015Condors3Reign2AWXXSommaire du match
204 - 2023-05-181035Griffins3Condors2BLR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,07537,592
Assistance PCT93.84%93.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2817 - 93.89% 83,777$3,351,080$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,058,814$ 2,957,500$ 2,615,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,357$ 2,531,892$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,784$ 0$




Condors Leaders statistiques (saison régulière)

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

Condors Leaders des statistiques des gardiens (saison régulière)

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

Condors Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Condors Leaders statistiques (séries éliminatoires)

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

Condors Leaders des statistiques des gardiens (séries éliminatoires)

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