Connexion

Condors
GP: 10 | W: 6 | L: 3 | OTL: 1 | P: 13
GF: 36 | GA: 32 | PP%: 25.93% | PK%: 65.00%
DG: Dave Boucher | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #176 vs Firebirds
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Centre de jeu
Wranglers
7-4-0, 14pts
0
FINAL
5 Condors
6-3-1, 13pts
Team Stats
W1StreakL1
4-1-0Home Record3-1-1
3-3-0Away Record3-2-0
6-4-0Last 10 Games6-3-1
2.73Buts par match 3.60
3.18Buts contre par match 3.20
13.46%Pourcentage en avantage numérique25.93%
71.88%Pourcentage en désavantage numérique65.00%
Silver Knights
3-6-0, 6pts
5
FINAL
1 Condors
6-3-1, 13pts
Team Stats
W1StreakL1
1-4-0Home Record3-1-1
2-2-0Away Record3-2-0
3-6-0Last 10 Games6-3-1
3.22Buts par match 3.60
4.00Buts contre par match 3.20
20.00%Pourcentage en avantage numérique25.93%
80.85%Pourcentage en désavantage numérique65.00%
Firebirds
5-3-1, 11pts
2022-08-03
Condors
6-3-1, 13pts
Statistiques d’équipe
W1SéquenceL1
3-1-1Fiche domicile3-1-1
2-2-0Fiche visiteur3-2-0
5-3-110 derniers matchs6-3-1
3.78Buts par match 3.60
3.56Buts contre par match 3.20
27.50%Pourcentage en avantage numérique25.93%
76.47%Pourcentage en désavantage numérique65.00%
Condors
6-3-1, 13pts
2022-08-04
Wranglers
7-4-0, 14pts
Statistiques d’équipe
L1SéquenceW1
3-1-1Fiche domicile4-1-0
3-2-0Fiche visiteur3-3-0
6-3-110 derniers matchs6-4-0
3.60Buts par match 2.73
3.20Buts contre par match 3.18
25.93%Pourcentage en avantage numérique13.46%
65.00%Pourcentage en désavantage numérique71.88%
Gulls
6-4-0, 12pts
2022-08-05
Condors
6-3-1, 13pts
Statistiques d’équipe
L3SéquenceL1
3-2-0Fiche domicile3-1-1
3-2-0Fiche visiteur3-2-0
6-4-010 derniers matchs6-3-1
3.30Buts par match 3.60
2.70Buts contre par match 3.20
16.67%Pourcentage en avantage numérique25.93%
80.49%Pourcentage en désavantage numérique65.00%
Meneurs d'équipe
Victoires
Oscar Dansk
6
Pourcentage d’arrêts
Oscar Dansk
0.913

Statistiques d’équipe
Buts pour
36
3.60 GFG
Tirs pour
360
36.00 Avg
Pourcentage en avantage numérique
25.9%
14 GF
Début de zone offensive
43.8%
Buts contre
32
3.20 GAA
Tirs contre
292
29.20 Avg
Pourcentage en désavantage numérique
65.0%
7 GA
Début de la zone défensive
37.2%
Information d’équipe

Directeur généralDave Boucher
EntraîneurDale Hunter
DivisionPACIFIQUE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 55
Espoirs19


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
1Cole Sillinger (R)0X100.006639786981859568826770647361650507301931,633,333$
2Nathan Walker0X100.00763891687084836659647163696870050720281750,000$
3Morgan Geekie0X100.006136926582798467836661586566640506902441,989,000$
4Tommy Novak0X100.00643591647381866577665961636764050680251925,000$
5Tyler Benson0X100.00713882627377786367615759626466050670244937,500$
6Andrew Oglevie0X100.00594382666874796473616356657167050670271700,000$
7Samuel Poulin (R)0X100.00703477617985915763596061596163050670213863,333$
8Tyler Steenbergen0X100.00613591617084895957586056576563050660242700,000$
9Cole Schwindt0X100.00673885587782805676585961566163050660213910,833$
10Riley Sutter0X100.00794186558866725463565260536365050650222871,667$
11Stelio Mattheos0X100.006840765677758752575453585663650506402311,239,000$
12Mathias Laferriere0X100.00693791517869845256535455536264050620221800,000$
13Juuso Valimaki0X100.006836826783857666307059735264660507202342,983,000$
14Sean Durzi0X100.006434757173879066307261705264660507202341,156,250$
15Nicolas Beaudin0X100.005938916966798666306765625563650506902211,105,000$
16Egor Zamula0X100.006738916179838561306058664962640506802221,300,000$
17Matt Kiersted0X100.006539886371828962306159655065660506802431,500,000$
18Nick Perbix (R)0X100.00693881637978656230665761506466050670241925,000$
Rayé
1Marc McLaughlin0X100.00673689617478705763586353616465050650232900,000$
2Max Willman0X100.006238835671687357705859565871660506302721,385,000$
3Keean Washkurak0X100.00583982576775805663555853546163050620211875,000$
4Nick Henry0X100.00613883537075625455535552556365050600231826,666$
5Darien Kielb0X100.007143675980786057306256584563650506502331,250,000$
6Frederic Allard72X100.00623892597383765630575660476567050650242738,000$
7Brady Lyle0X100.006939875578698658305756554863650506402321,200,000$
8Andreas Borgman56X100.00663978577580645830575958516769050640272700,000$
9Cole Hults0X100.006338845872698157305655545064660506302411,050,000$
MOYENNE D’ÉQUIPE100.0066388461757880605260596056646505066
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
1Oscar Dansk100.00748382847372747372747373770507702831,094,000$
2Connor Ingram100.0075777880747375747375746673050760253700,000$
Rayé
1Hunter Jones100.0067697085666567666567666267050700222925,000$
2Zachary Emond100.0061686776605961605961606267050650221800,000$
MOYENNE D’ÉQUIPE100.006974748168676968676968667105072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter75757575757575CAN6340$


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
1Cole SillingerCondors (EDM)C105914600133343172511.63%219519.561348310000111052.02%24800001.4300000110
2Nathan WalkerCondors (EDM)LW104101474023264115389.76%321721.711349430000141155.56%2700001.2900000112
3Nicolas BeaudinCondors (EDM)D10211130801114288187.14%921721.802461743000013000.00%000001.1900000101
4Juuso ValimakiCondors (EDM)D103811-12018253052110.00%2124424.442351743000116010.00%000000.9000000001
5Sean DurziCondors (EDM)D103811-3806232651411.54%723623.643361944000011100.00%000000.9300000010
6Morgan GeekieCondors (EDM)C10336-110010203042110.00%020020.052351043000061156.34%26800000.6000000000
7Egor ZamulaCondors (EDM)D104151401716278914.81%1319819.812021439000012000.00%000000.5000000000
8Andrew OglevieCondors (EDM)C10235100662041410.00%013313.3100000000000052.08%9600000.7500000010
9Tommy NovakCondors (EDM)C10415-1006263072513.33%614814.861015120001161148.90%18200000.6700000000
10Nick PerbixCondors (EDM)D10134-22021432633.33%815315.300000000007000.00%000000.5200000000
11Tyler BensonCondors (EDM)LW10033-10401514261080.00%019219.21033443000000038.46%1300000.3100000000
12Cole SchwindtCondors (EDM)C10033-200779390.00%2989.8800002000000044.44%900000.6100000000
13Matt KierstedCondors (EDM)D10123-12010712248.33%815115.120111500000010.00%000000.4000000000
14Samuel PoulinCondors (EDM)LW102130201751181118.18%214214.24000014000090030.00%1000000.4200000100
15Stelio MattheosCondors (EDM)RW1011212014893511.11%118618.67000243000021047.62%2100000.2100000000
16Tyler SteenbergenCondors (EDM)LW10011400469040.00%210010.0700000000000050.00%200000.2000000000
17Riley SutterCondors (EDM)C101011006142525.00%0444.440000000000000.00%000000.4500000000
18Mathias LaferriereCondors (EDM)RW7011-520832050.00%111716.78011128000000020.00%1000000.1700000000
Statistiques d’équipe totales ou en moyenne1773669105-1540021224436010324210.00%85297816.8314243810744100021246551.81%88600000.7100000444
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
1Oscar DanskCondors (EDM)96200.9132.5449601212410010.000082010
2Connor IngramCondors (EDM)20110.8005.611070010500000.000028000
Statistiques d’équipe totales ou en moyenne116310.8933.0960301312910010.00001010010


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 moyenPlafond 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
Andreas BorgmanCondors (EDM)D271995-06-18No205 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Andrew OglevieCondors (EDM)C271995-02-16No180 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien
Brady LyleCondors (EDM)D231999-06-06No203 Lbs6 ft1NoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$0$0$No1,200,000$Lien
Cole HultsCondors (EDM)D241998-05-22No189 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$1,050,000$1,050,000$0$0$NoLien
Cole SchwindtCondors (EDM)C212001-04-25No182 Lbs6 ft2NoNoNo3Pro & Farm910,833$910,833$910,833$0$0$No910,833$910,833$Lien
Cole SillingerCondors (EDM)C192003-05-16Yes203 Lbs6 ft2NoNoNo3Pro & Farm1,633,333$1,633,333$700,000$0$0$No1,633,333$1,633,333$
Connor IngramCondors (EDM)G251997-03-31No196 Lbs6 ft2NoNoNo3Pro & Farm700,000$700,000$525,000$0$0$No700,000$700,000$Lien
Darien KielbCondors (EDM)D231999-03-18No181 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$1,250,000$1,250,000$0$0$No1,250,000$1,250,000$Lien
Egor ZamulaCondors (EDM)D222000-03-30No177 Lbs6 ft3NoNoNo2Pro & Farm1,300,000$1,300,000$1,300,000$0$0$No1,300,000$Lien
Frederic AllardCondors (EDM)D241997-12-27No179 Lbs6 ft1NoNoNo2Pro & Farm738,000$738,000$650,000$0$0$No738,000$Lien
Hunter JonesCondors (EDM)G222000-09-21No194 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Juuso ValimakiCondors (EDM)D231998-10-06No212 Lbs6 ft2NoNoNo4Pro & Farm2,983,000$2,983,000$2,650,400$0$0$No2,983,000$2,983,000$2,983,000$Lien
Keean WashkurakCondors (EDM)C212001-08-16No184 Lbs5 ft10NoNoNo1Pro & Farm875,000$875,000$700,000$0$0$NoLien
Marc McLaughlinCondors (EDM)C231999-07-26No198 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$900,000$0$0$No900,000$Lien
Mathias LaferriereCondors (EDM)RW222000-06-27No188 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$700,000$0$0$NoLien
Matt KierstedCondors (EDM)D241998-04-14No181 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Max WillmanCondors (EDM)LW271995-02-13No184 Lbs6 ft0NoNoNo2Pro & Farm1,385,000$1,385,000$700,000$0$0$No1,385,000$Lien
Morgan GeekieCondors (EDM)C241998-07-20No192 Lbs6 ft3NoNoNo4Pro & Farm1,989,000$1,989,000$1,751,200$0$0$No1,989,000$1,989,000$1,989,000$Lien
Nathan WalkerCondors (EDM)LW281994-02-07No187 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Nick HenryCondors (EDM)RW231999-07-04No190 Lbs5 ft11NoNoNo1Pro & Farm826,666$826,666$783,935$0$0$NoLien
Nick PerbixCondors (EDM)D241998-06-15Yes191 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$No
Nicolas BeaudinCondors (EDM)D221999-10-07No168 Lbs5 ft11NoNoNo1Pro & Farm1,105,000$1,105,000$894,168$0$0$NoLien
Oscar DanskCondors (EDM)G281994-02-28No204 Lbs6 ft3NoNoNo3Pro & Farm1,094,000$1,094,000$0$0$No795,000$700,000$Lien
Riley SutterCondors (EDM)C221999-10-25No210 Lbs6 ft4NoNoNo2Pro & Farm871,667$871,667$871,667$0$0$No871,667$Lien
Samuel PoulinCondors (EDM)LW212001-02-25Yes208 Lbs6 ft1NoNoNo3Pro & Farm863,333$863,333$700,000$0$0$No863,333$863,333$
Sean DurziCondors (EDM)D231998-10-21No195 Lbs6 ft0NoNoNo4Pro & Farm1,156,250$1,156,250$809,167$0$0$No1,156,250$1,156,250$1,156,250$Lien
Stelio MattheosCondors (EDM)RW231999-06-14No196 Lbs6 ft1NoNoNo1Pro & Farm1,239,000$1,239,000$925,000$0$0$NoLien
Tommy NovakCondors (EDM)C251997-04-28No179 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$817,502$0$0$NoLien
Tyler BensonCondors (EDM)LW241998-03-15No190 Lbs6 ft0YesNoNo4Pro & Farm937,500$937,500$650,000$0$0$No937,500$937,500$937,500$Lien
Tyler SteenbergenCondors (EDM)LW241998-01-07No188 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$650,000$0$0$No700,000$Lien
Zachary EmondCondors (EDM)G222000-06-20No165 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$700,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3123.55190 Lbs6 ft12.131,088,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerCole SillingerTyler Steenbergen30032
2Tyler BensonMorgan GeekieStelio Mattheos30122
3Samuel PoulinTommy NovakMathias Laferriere24122
4Riley SutterAndrew OglevieCole Schwindt16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiSean Durzi36122
2Nicolas BeaudinEgor Zamula36122
3Matt KierstedNick Perbix28122
4Juuso ValimakiSean Durzi0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerCole SillingerStelio Mattheos50122
2Tyler BensonMorgan GeekieMathias Laferriere50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiSean Durzi50122
2Nicolas BeaudinEgor Zamula50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerNathan Walker50122
2Tommy NovakSamuel Poulin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiSean Durzi50122
2Nicolas BeaudinEgor Zamula50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Sillinger50122Juuso ValimakiSean Durzi50122
2Tommy Novak50122Nicolas BeaudinEgor Zamula50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerNathan Walker50122
2Morgan GeekieTommy Novak50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiSean Durzi50122
2Nicolas BeaudinEgor Zamula50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerCole SillingerStelio MattheosJuuso ValimakiSean Durzi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerCole SillingerStelio MattheosJuuso ValimakiSean Durzi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Schwindt, Riley Sutter, Samuel PoulinCole Schwindt, Riley SutterSamuel Poulin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Kiersted, Nick Perbix, Nicolas BeaudinMatt KierstedNick Perbix, Nicolas Beaudin
Tirs de pénalité
Cole Sillinger, Nathan Walker, Morgan Geekie, Tommy Novak, Tyler Benson
Gardien
#1 : Oscar Dansk, #2 : Connor Ingram
Lignes d’attaque personnalisées en prolongation
Cole Sillinger, Nathan Walker, Morgan Geekie, Tommy Novak, Tyler Benson, Samuel Poulin, Samuel Poulin, Andrew Oglevie, Cole Schwindt, Tyler Steenbergen, Riley Sutter
Lignes de défense personnalisées en prolongation
Juuso Valimaki, Sean Durzi, Nicolas Beaudin, Egor Zamula, Matt Kiersted


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
1Barracuda20002000752100010004311000100032141.00071421001113102921111231188431344113430.77%2150.00%019938551.69%16932751.68%9116654.82%2511742217513066
2Canucks2100010010821000010045-11100000063330.7501018280011131027711112311885824143212325.00%7357.14%019938551.69%16932751.68%9116654.82%2511742217513066
3Firebirds1010000013-2000000000001010000013-200.0001231011131022611112311883144245120.00%20100.00%019938551.69%16932751.68%9116654.82%2511742217513066
4Reign2110000078-1110000005411010000024-220.5007142100111310260111123118875178467342.86%4250.00%019938551.69%16932751.68%9116654.82%2511742217513066
5Silver Knights2110000068-21010000015-41100000053220.5006111700111310270111123118863208411200.00%4175.00%019938551.69%16932751.68%9116654.82%2511742217513066
6Wranglers11000000505110000005050000000000021.000510150111131023511112311882272285360.00%10100.00%019938551.69%16932751.68%9116654.82%2511742217513066
Total1043021003632452101100191725220100017152130.650366910511111310236011112311882928540212541425.93%20765.00%019938551.69%16932751.68%9116654.82%2511742217513066
_Since Last GM Reset1043021003632452101100191725220100017152130.650366910511111310236011112311882928540212541425.93%20765.00%019938551.69%16932751.68%9116654.82%2511742217513066
_Vs Conference1043021003632452101100191725220100017152130.650366910511111310236011112311882928540212541425.93%20765.00%019938551.69%16932751.68%9116654.82%2511742217513066
_Vs Division1043021003632452101100191725220100017152130.650366910511111310236011112311882928540212541425.93%20765.00%019938551.69%16932751.68%9116654.82%2511742217513066

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1013L13669105360292854021211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104321003632
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52111001917
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52210001715
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
541425.93%20765.00%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
11112311881113102
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
19938551.69%16932751.68%9116654.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2511742217513066


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 - 2022-07-172Condors1Firebirds3ALSommaire du match
2 - 2022-07-1824Reign4Condors5BWSommaire du match
4 - 2022-07-2036Condors3Barracuda2AWXSommaire du match
6 - 2022-07-2256Barracuda3Condors4BWXSommaire du match
7 - 2022-07-2367Condors5Silver Knights3AWSommaire du match
9 - 2022-07-2586Condors6Canucks3AWSommaire du match
10 - 2022-07-2695Canucks5Condors4BLXSommaire du match
11 - 2022-07-27114Condors2Reign4ALSommaire du match
12 - 2022-07-28125Wranglers0Condors5BWSommaire du match
15 - 2022-07-31145Silver Knights5Condors1BLSommaire du match
18 - 2022-08-03176Firebirds-Condors-
19 - 2022-08-04180Condors-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05199Gulls-Condors-
21 - 2022-08-06210Condors-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,373,258$ 2,736,387$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 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


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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