Connexion

Condors
GP: 18 | W: 9 | L: 8 | OTL: 1 | P: 19
GF: 55 | GA: 47 | PP%: 19.44% | PK%: 84.21%
DG: Dave Boucher | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #304 vs Gulls
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Centre de jeu
Condors
9-8-1, 19pts
7
FINAL
2 islanders
9-8-2, 20pts
Team Stats
L1StreakSOL1
5-4-1Home Record4-3-2
4-4-0Away Record5-5-0
4-6-0Last 10 Games4-5-1
3.06Buts par match 3.74
2.61Buts contre par match 3.74
19.44%Pourcentage en avantage numérique26.67%
84.21%Pourcentage en désavantage numérique80.88%
Binghamton Senateurs
9-9-1, 19pts
3
FINAL
2 Condors
9-8-1, 19pts
Team Stats
W2StreakL1
4-4-1Home Record5-4-1
5-5-0Away Record4-4-0
5-4-1Last 10 Games4-6-0
3.53Buts par match 3.06
3.79Buts contre par match 2.61
17.50%Pourcentage en avantage numérique19.44%
78.13%Pourcentage en désavantage numérique84.21%
Condors
9-8-1, 19pts
2022-11-28
Gulls
12-6-0, 24pts
Statistiques d’équipe
L1SéquenceL1
5-4-1Fiche domicile6-3-0
4-4-0Fiche visiteur6-3-0
4-6-010 derniers matchs7-3-0
3.06Buts par match 3.89
2.61Buts contre par match 3.22
19.44%Pourcentage en avantage numérique31.37%
84.21%Pourcentage en désavantage numérique80.28%
Checkers
7-10-2, 16pts
2022-12-02
Condors
9-8-1, 19pts
Statistiques d’équipe
L2SéquenceL1
3-5-1Fiche domicile5-4-1
4-5-1Fiche visiteur4-4-0
3-7-010 derniers matchs4-6-0
2.84Buts par match 3.06
3.47Buts contre par match 2.61
17.11%Pourcentage en avantage numérique19.44%
78.48%Pourcentage en désavantage numérique84.21%
Condors
9-8-1, 19pts
2022-12-03
Wranglers
13-0-6, 32pts
Statistiques d’équipe
L1SéquenceW1
5-4-1Fiche domicile6-0-3
4-4-0Fiche visiteur7-0-3
4-6-010 derniers matchs6-0-4
3.06Buts par match 4.74
2.61Buts contre par match 3.58
19.44%Pourcentage en avantage numérique28.92%
84.21%Pourcentage en désavantage numérique80.65%
Meneurs d'équipe
Buts
Sean Durzi
3
Passes
Sean Durzi
5
Points
Sean Durzi
8
Plus/Moins
Sean Durzi
-7
Victoires
Craig Anderson
8
Pourcentage d’arrêts
Oscar Dansk
0.93

Statistiques d’équipe
Buts pour
55
3.06 GFG
Tirs pour
665
36.94 Avg
Pourcentage en avantage numérique
19.4%
14 GF
Début de zone offensive
43.7%
Buts contre
47
2.61 GAA
Tirs contre
599
33.28 Avg
Pourcentage en désavantage numérique
84.2%
9 GA
Début de la zone défensive
38.5%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,874
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 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)0X98.006639786981859568826770647361650507201931,633,333$
2Morgan Geekie0X98.006136926582798467836661586566640506802441,989,000$
3Tommy Novak0X99.00643591647381866577665961636764050680251925,000$
4Samuel Poulin (R)0X100.00703477617985915763596061596163050670213863,333$
5Tyler Benson0X100.00713882627377786367615759626466050660244937,500$
6Andrew Oglevie0X99.00594382666874796473616356657167050660271700,000$
7Tyler Steenbergen0X100.00613591617084895957586056576563050650242700,000$
8Cole Schwindt0X100.00673885587782805676585961566163050650213910,833$
9Marc McLaughlin0X100.00673689617478705763586353616465050650232900,000$
10Riley Sutter0X100.00794186558866725463565260536365050640232871,667$
11Stelio Mattheos0X100.006840765677758752575453585663650506302311,239,000$
12Mathias Laferriere0X100.00693791517869845256535455536264050620221800,000$
13Juuso Valimaki0X100.006836826783857666307059735264660507202442,983,000$
14Nicolas Beaudin0X100.005938916966798666306765625563650506902311,105,000$
15Egor Zamula0X100.006738916179838561306058664962640506802221,300,000$
16Matt Kiersted0X100.006539886371828962306159655065660506802431,500,000$
17Nick Perbix (R)0X100.00693881637978656230665761506466050670241925,000$
18Darien Kielb0X100.007143675980786057306256584563650506502331,250,000$
Rayé
1Max Willman0X100.006238835671687357705859565871660506302721,385,000$
2Keean Washkurak0X100.00583982576775805663555853546163050620211875,000$
3Tristen Nielsen0X100.00603787586977695661535752566264050610221750,000$
4Nick Henry0X100.00613883537075625455535552556365050600231826,666$
5Brady Lyle0X100.006939875578698658305756554863650506402321,200,000$
6Andreas Borgman56X100.00663978577580645830575958516769050640272700,000$
7Frederic Allard72X100.00623892597383765630575660476567050640242738,000$
8Cole Hults0X100.006338845872698157305655545064660506302411,050,000$
MOYENNE D’ÉQUIPE99.7765388460757879595360585956646505065
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
1Craig Anderson100.00827072778180828180828193950508304112,200,000$
2Oscar Dansk100.00748382847372747372747373770507702831,094,000$
Rayé
1Connor Ingram100.0075777880747375747375746673050760253700,000$
2Hunter Jones100.0067697085666567666567666267050690222925,000$
3Zachary Emond100.0061686776605961605961606267050640221800,000$
MOYENNE D’ÉQUIPE100.007273748071707271707271717605074
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)C18128201402660102317111.76%238821.5823518650000362253.02%49600021.0312000400
2Juuso ValimakiCondors (EDM)D1851419-28041255120269.80%3443023.913253663000049100.00%000000.8800000013
3Nicolas BeaudinCondors (EDM)D182151736014344215334.76%2438821.560662161000022100.00%000000.8800000013
4Tommy NovakCondors (EDM)C187714160204850123914.00%133518.6432514490001451052.22%38300000.8312000110
5Andrew OglevieCondors (EDM)C186612-32092253103011.32%027115.060331457000191050.33%15100000.8901000101
6Morgan GeekieCondors (EDM)C18461050011455811566.90%535719.8911215630000120258.58%47800000.5612000001
7Sean DurziOilersD15358-71802428417327.32%1534923.271122454000033010.00%000000.4600000000
8Matt KierstedCondors (EDM)D182682402019316186.45%2331217.391011322000047000.00%000000.5100000000
9Tyler SteenbergenCondors (EDM)LW184260409102642015.38%322712.6500000000030045.83%2400000.5300000010
10Nick PerbixCondors (EDM)D1815641604218249204.17%1233818.8111293900000000.00%000000.3500000000
11Samuel PoulinCondors (EDM)LW17426211525740133910.00%335520.892139600000391051.52%3300000.3400000000
12Cole SchwindtCondors (EDM)C1814502019233111233.23%127915.51000050001490048.00%5000000.3600000001
13Tyler BensonCondors (EDM)LW1822426024174817264.17%231917.770221064000000068.42%1900000.2501000010
14Egor ZamulaCondors (EDM)D1804421003222149170.00%2329916.62022210000045000.00%000000.2700000000
15Riley SutterCondors (EDM)C15123-3408364916.67%1976.4700000000001033.33%600000.6200000000
16Max WillmanCondors (EDM)LW11022-160127390.00%1766.9600000000000033.33%600000.5200000000
17Mathias LaferriereCondors (EDM)RW110222401329450.00%016515.0300019000000066.67%600000.2400000000
18Stelio MattheosCondors (EDM)RW18011280304267130.00%326314.6600013000000038.89%1800000.0800000000
19Brady LyleCondors (EDM)D2000000000000.00%010.570000000000000.00%000000.0000000000
20Darien KielbCondors (EDM)D7000240412010.00%0568.050000000001000.00%000000.0000000000
21Marc McLaughlinCondors (EDM)C7000000204010.00%0182.65000000000000100.00%100000.0000000000
22Frederic AllardCondors (EDM)D4000000000000.00%000.150000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne32354931471212353743906651934888.12%153533216.5114243818763100033978553.86%167100020.5538000659
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
1Craig AndersonCondors (EDM)158510.9232.5083901354560010.6258144030
2Oscar DanskCondors (EDM)51300.9302.3825200101420000.0000414111
Statistiques d’équipe totales ou en moyenne209810.9252.48109101455980010.62581818141


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$538,172$0$0$No700,000$Lien
Andrew OglevieCondors (EDM)C271995-02-16No180 Lbs5 ft11NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$NoLien
Brady LyleCondors (EDM)D231999-06-06No203 Lbs6 ft1NoNoNo2Pro & Farm1,200,000$922,580$1,200,000$0$0$No1,200,000$Lien
Cole HultsCondors (EDM)D241998-05-22No189 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$807,258$1,050,000$0$0$NoLien
Cole SchwindtCondors (EDM)C212001-04-25No182 Lbs6 ft2NoNoNo3Pro & Farm910,833$700,264$910,833$0$0$No910,833$910,833$Lien
Cole SillingerCondors (EDM)C192003-05-16Yes203 Lbs6 ft2NoNoNo3Pro & Farm1,633,333$1,255,734$700,000$0$0$No1,633,333$1,633,333$
Connor IngramCondors (EDM)G251997-03-31No196 Lbs6 ft2NoNoNo3Pro & Farm700,000$538,172$525,000$0$0$No700,000$700,000$Lien
Craig AndersonCondors (EDM)G411981-05-21No185 Lbs6 ft2NoNoNo1Pro & Farm2,200,000$1,691,397$2,200,000$0$0$NoLien
Darien KielbCondors (EDM)D231999-03-18No181 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$961,021$1,250,000$0$0$No1,250,000$1,250,000$Lien
Egor ZamulaCondors (EDM)D222000-03-30No177 Lbs6 ft3NoNoNo2Pro & Farm1,300,000$999,462$1,300,000$0$0$No1,300,000$Lien
Frederic AllardCondors (EDM)D241997-12-27No179 Lbs6 ft1NoNoNo2Pro & Farm738,000$567,387$650,000$0$0$No738,000$Lien
Hunter JonesCondors (EDM)G222000-09-21No194 Lbs6 ft4NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Juuso ValimakiCondors (EDM)D241998-10-06No212 Lbs6 ft2NoNoNo4Pro & Farm2,983,000$2,293,381$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$672,715$700,000$0$0$NoLien
Marc McLaughlinCondors (EDM)C231999-07-26No198 Lbs6 ft0NoNoNo2Pro & Farm900,000$691,935$900,000$0$0$No900,000$Lien
Mathias LaferriereCondors (EDM)RW222000-06-27No188 Lbs6 ft2NoNoNo1Pro & Farm800,000$615,053$700,000$0$0$NoLien
Matt KierstedCondors (EDM)D241998-04-14No181 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$1,153,225$1,500,000$0$0$No1,500,000$1,500,000$Lien
Max WillmanCondors (EDM)LW271995-02-13No184 Lbs6 ft0NoNoNo2Pro & Farm1,385,000$1,064,811$700,000$0$0$No1,385,000$Lien
Morgan GeekieCondors (EDM)C241998-07-20No192 Lbs6 ft3NoNoNo4Pro & Farm1,989,000$1,529,177$1,751,200$0$0$No1,989,000$1,989,000$1,989,000$Lien
Nick HenryCondors (EDM)RW231999-07-04No190 Lbs5 ft11NoNoNo1Pro & Farm826,666$635,555$783,935$0$0$NoLien
Nick PerbixCondors (EDM)D241998-06-15Yes191 Lbs6 ft2NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$No
Nicolas BeaudinCondors (EDM)D231999-10-07No168 Lbs5 ft11NoNoNo1Pro & Farm1,105,000$849,543$894,168$0$0$NoLien
Oscar DanskCondors (EDM)G281994-02-28No204 Lbs6 ft3NoNoNo3Pro & Farm1,094,000$841,086$0$0$No795,000$700,000$Lien
Riley SutterCondors (EDM)C231999-10-25No210 Lbs6 ft4NoNoNo2Pro & Farm871,667$670,152$871,667$0$0$No871,667$Lien
Samuel PoulinCondors (EDM)LW212001-02-25Yes208 Lbs6 ft1NoNoNo3Pro & Farm863,333$663,745$700,000$0$0$No863,333$863,333$
Stelio MattheosCondors (EDM)RW231999-06-14No196 Lbs6 ft1NoNoNo1Pro & Farm1,239,000$952,564$925,000$0$0$NoLien
Tommy NovakCondors (EDM)C251997-04-28No179 Lbs6 ft1NoNoNo1Pro & Farm925,000$711,155$817,502$0$0$NoLien
Tristen NielsenCondors (EDM)C222000-02-23No192 Lbs5 ft10NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Tyler BensonCondors (EDM)LW241998-03-15No190 Lbs6 ft0YesNoNo4Pro & Farm937,500$720,766$650,000$0$0$No937,500$937,500$937,500$Lien
Tyler SteenbergenCondors (EDM)LW241998-01-07No188 Lbs5 ft11NoNoNo2Pro & Farm700,000$538,172$650,000$0$0$No700,000$Lien
Zachary EmondCondors (EDM)G222000-06-20No165 Lbs6 ft3NoNoNo1Pro & Farm800,000$615,053$700,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3124.03190 Lbs6 ft12.031,121,817$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel PoulinCole SillingerStelio Mattheos30113
2Tyler BensonMorgan GeekieMathias Laferriere30122
3Tyler SteenbergenTommy NovakCole Schwindt24041
4Marc McLaughlinAndrew OglevieRiley Sutter16131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiDarien Kielb38122
2Nicolas BeaudinNick Perbix37122
3Egor ZamulaMatt Kiersted25131
4Juuso ValimakiDarien Kielb0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BensonMorgan GeekieTommy Novak50122
2Samuel PoulinCole SillingerAndrew Oglevie50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinEgor Zamula50122
2Juuso ValimakiNick Perbix50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tommy NovakCole Schwindt50041
2Cole SillingerSamuel Poulin50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiDarien Kielb50131
2Egor ZamulaMatt Kiersted50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Schwindt50122Juuso ValimakiNicolas Beaudin50122
2Tommy Novak50122Egor ZamulaMatt Kiersted50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerSamuel Poulin50122
2Cole SchwindtTyler Steenbergen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiEgor Zamula50122
2Nicolas BeaudinMatt Kiersted50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan GeekieCole SillingerTommy NovakNicolas BeaudinJuuso Valimaki
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan GeekieCole SillingerCole SchwindtJuuso ValimakiEgor Zamula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tommy Novak, Cole Schwindt, Tyler SteenbergenTommy Novak, Samuel PoulinTommy Novak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Kiersted, Juuso Valimaki, Egor ZamulaEgor ZamulaJuuso Valimaki, Egor Zamula
Tirs de pénalité
Cole Sillinger, Andrew Oglevie, Morgan Geekie, Tommy Novak, Tyler Benson
Gardien
#1 : Craig Anderson, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Cole Sillinger, Morgan Geekie, Tommy Novak, Samuel Poulin, Andrew Oglevie, Cole Schwindt, Cole Schwindt, Tyler Benson, Tyler Steenbergen, Stelio Mattheos, Mathias Laferriere
Lignes de défense personnalisées en prolongation
Juuso Valimaki, Darien Kielb, Nicolas Beaudin, Matt Kiersted, Egor Zamula


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
1Barracuda210000015231000000112-11100000040430.7505914012123857420923121419431610339222.22%50100.00%041572057.64%32763551.50%15829353.92%459320401130232120
2Binghamton Senateurs21100000871211000008710000000000020.50081422002123858020923121419571616449222.22%80100.00%041572057.64%32763551.50%15829353.92%459320401130232120
3Canucks2020000025-31010000013-21010000012-100.00023500212385792092312141973221445900.00%6266.67%041572057.64%32763551.50%15829353.92%459320401130232120
4Eagles210010001156100010004311100000072541.000111627002123856620923121419691610377228.57%50100.00%041572057.64%32763551.50%15829353.92%459320401130232120
5Firebirds2110000045-1110000002111010000024-220.5004711002123857120923121419601412408112.50%6266.67%041572057.64%32763551.50%15829353.92%459320401130232120
6Gulls2020000047-31010000035-21010000012-100.000481200212385652092312141969171244700.00%5260.00%041572057.64%32763551.50%15829353.92%459320401130232120
7Reign211000003301010000012-11100000021120.500369002123858720923121419701816509222.22%70100.00%041572057.64%32763551.50%15829353.92%459320401130232120
8Silver Knights10001000541100010005410000000000021.000581300212385322092312141940108165240.00%4175.00%041572057.64%32763551.50%15829353.92%459320401130232120
9Wranglers2010001067-1100000104311010000024-220.50061016102123856520923121419791416436116.67%8187.50%041572057.64%32763551.50%15829353.92%459320401130232120
10islanders11000000725000000000001100000072521.0007121900212385462092312141939109223266.67%3166.67%041572057.64%32763551.50%15829353.92%459320401130232120
Total186802011554781024020112930-18440000026179190.52855931481121238566520923121419599153123374721419.44%57984.21%041572057.64%32763551.50%15829353.92%459320401130232120
_Since Last GM Reset186802011554781024020112930-18440000026179190.52855931481121238566520923121419599153123374721419.44%57984.21%041572057.64%32763551.50%15829353.92%459320401130232120
_Vs Conference15470201140382813020112123-27340000019154150.5004067107112123855392092312141950312798308601016.67%46882.61%041572057.64%32763551.50%15829353.92%459320401130232120
_Vs Division1337010112933-4713010111720-3624000001213-1110.42329518011212385473209231214194341118827153815.09%41880.49%041572057.64%32763551.50%15829353.92%459320401130232120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1819L1559314866559915312337411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
186820115547
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
102420112930
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84400002617
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721419.44%57984.21%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
20923121419212385
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
41572057.64%32763551.50%15829353.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
459320401130232120


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-10-1610Condors2Reign1AWSommaire du match
4 - 2022-10-1925Reign2Condors1BLSommaire du match
5 - 2022-10-2041Wranglers3Condors4BWXXSommaire du match
8 - 2022-10-2360Condors7Eagles2AWSommaire du match
10 - 2022-10-2572Silver Knights4Condors5BWXSommaire du match
12 - 2022-10-2788Condors4Barracuda0AWSommaire du match
16 - 2022-10-31104Condors1Canucks2ALSommaire du match
17 - 2022-11-01118Barracuda2Condors1BLXXSommaire du match
21 - 2022-11-05139Firebirds1Condors2BWSommaire du match
24 - 2022-11-08164Condors1Gulls2ALSommaire du match
25 - 2022-11-09172Condors2Firebirds4ALSommaire du match
27 - 2022-11-11184Gulls5Condors3BLSommaire du match
30 - 2022-11-14204Canucks3Condors1BLSommaire du match
33 - 2022-11-17221Condors2Wranglers4ALSommaire du match
36 - 2022-11-20235Binghamton Senateurs4Condors6BWSommaire du match
38 - 2022-11-22259Eagles3Condors4BWXSommaire du match
39 - 2022-11-23268Condors7islanders2AWSommaire du match
42 - 2022-11-26291Binghamton Senateurs3Condors2BLSommaire du match
44 - 2022-11-28304Condors-Gulls-
48 - 2022-12-02331Checkers-Condors-
49 - 2022-12-03337Condors-Wranglers-
52 - 2022-12-06360Reign-Condors-
56 - 2022-12-10382Condors-Americans-
58 - 2022-12-12390IceHogs-Condors-
60 - 2022-12-14417Griffins-Condors-
64 - 2022-12-18443Condors-Canucks-
65 - 2022-12-19453Marlies-Condors-
68 - 2022-12-22478Moose-Condors-
74 - 2022-12-28499Condors-Firebirds-
76 - 2022-12-30513Admirals-Condors-
79 - 2023-01-02535Condors-Silver Knights-
80 - 2023-01-03545Barracuda-Condors-
86 - 2023-01-09577Reign-Condors-
88 - 2023-01-11601Condors-Iowa Wild-
90 - 2023-01-13610Iowa Wild-Condors-
92 - 2023-01-15630Condors-Wranglers-
93 - 2023-01-16643Roadrunners-Condors-
95 - 2023-01-18660Condors-Wolves-
97 - 2023-01-20668Condors-Eagles-
98 - 2023-01-21673Wranglers-Condors-
101 - 2023-01-24700Condors-Canucks-
102 - 2023-01-25708Firebirds-Condors-
103 - 2023-01-26729Condors-Texas Stars-
105 - 2023-01-28738Texas Stars-Condors-
107 - 2023-01-30762Condors-Eagles-
109 - 2023-02-01771Thunderbirds-Condors-
112 - 2023-02-04798Condors-Bears-
114 - 2023-02-06804Wranglers-Condors-
117 - 2023-02-09826Condors-Reign-
118 - 2023-02-10834Crunch-Condors-
121 - 2023-02-13850Condors-Admirals-
122 - 2023-02-14863Condors-Wolf Pack-
124 - 2023-02-16876Silver Knights-Condors-
127 - 2023-02-19897Barracuda-Condors-
131 - 2023-02-23925Condors-Providence Bruins-
132 - 2023-02-24936Eagles-Condors-
134 - 2023-02-26950Condors-IceHogs-
136 - 2023-02-28962Silver Knights-Condors-
137 - 2023-03-01974Condors-Thunderbirds-
139 - 2023-03-03991Canucks-Condors-
142 - 2023-03-06999Condors-Monsters-
145 - 2023-03-091020Condors-Reign-
146 - 2023-03-101027Americans-Condors-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131055Firebirds-Condors-
150 - 2023-03-141067Condors-Roadrunners-
153 - 2023-03-171089Binghamton Senateurs-Condors-
155 - 2023-03-191095Condors-Gulls-
157 - 2023-03-211105Condors-Moose-
158 - 2023-03-221121Comets-Condors-
161 - 2023-03-251139Condors-Phantoms-
163 - 2023-03-271151Condors-Firebirds-
164 - 2023-03-281158Condors-Silver Knights-
165 - 2023-03-291168Bears-Condors-
167 - 2023-03-311187Condors-W-B/Scranton Penguins-
169 - 2023-04-021196Canucks-Condors-
170 - 2023-04-031201Condors-Wolves-
174 - 2023-04-071228Gulls-Condors-
175 - 2023-04-081239Condors-Barracuda-
179 - 2023-04-121262Rockets-Condors-
180 - 2023-04-131272Condors-Silver Knights-
183 - 2023-04-161293Gulls-Condors-
184 - 2023-04-171309Condors-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance19,0869,656
Assistance PCT95.43%96.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2874 - 95.81% 108,267$1,082,670$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,477,633$ 2,875,470$ 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
3,356,277$ 143 18,697$ 2,673,671$




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