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Condors
GP: 35 | W: 19 | L: 13 | OTL: 3 | P: 41
GF: 105 | GA: 87 | PP%: 28.40% | PK%: 70.21%
DG: Alec McMillan | Morale : 54 | Moyenne d’équipe : 62
Prochains matchs #541 vs Eagles

Centre de jeu
Condors
19-13-3, 41pts
2
3 Monsters
11-14-9, 31pts
Team Stats
W1SéquenceW2
8-9-0Fiche domicile4-7-6
11-4-3Fiche domicile7-7-3
4-5-1Derniers 10 matchs3-6-1
3.00Buts par match 1.85
2.49Buts contre par match 2.41
28.40%Pourcentage en avantage numérique25.42%
70.21%Pourcentage en désavantage numérique71.05%
Bruins
21-11-3, 45pts
0
2 Condors
19-13-3, 41pts
Team Stats
L2SéquenceW1
9-6-1Fiche domicile8-9-0
12-5-2Fiche domicile11-4-3
7-2-1Derniers 10 matchs4-5-1
2.43Buts par match 3.00
2.03Buts contre par match 2.49
27.63%Pourcentage en avantage numérique28.40%
68.42%Pourcentage en désavantage numérique70.21%
Eagles
9-17-7, 25pts
Jour 43
Condors
19-13-3, 41pts
Statistiques d’équipe
L1SéquenceW1
6-10-2Fiche domicile8-9-0
3-7-5Fiche visiteur11-4-3
0-7-310 derniers matchs4-5-1
2.24Buts par match 3.00
3.27Buts contre par match 3.00
39.51%Pourcentage en avantage numérique28.40%
67.47%Pourcentage en désavantage numérique70.21%
Condors
19-13-3, 41pts
Jour 44
Eagles
9-17-7, 25pts
Statistiques d’équipe
W1SéquenceL1
8-9-0Fiche domicile6-10-2
11-4-3Fiche visiteur3-7-5
4-5-110 derniers matchs0-7-3
3.00Buts par match 2.24
2.49Buts contre par match 2.24
28.40%Pourcentage en avantage numérique39.51%
70.21%Pourcentage en désavantage numérique67.47%
Condors
19-13-3, 41pts
Jour 45
Gulls
18-12-4, 40pts
Statistiques d’équipe
W1SéquenceW1
8-9-0Fiche domicile9-6-1
11-4-3Fiche visiteur9-6-3
4-5-110 derniers matchs4-2-4
3.00Buts par match 2.18
2.49Buts contre par match 2.18
28.40%Pourcentage en avantage numérique20.25%
70.21%Pourcentage en désavantage numérique78.02%
Meneurs d'équipe
Luke KuninButs
Luke Kunin
16
Luke KuninPasses
Luke Kunin
22
Luke KuninPoints
Luke Kunin
38
Plus/Moins
Joel Farabee
10
Matt MurrayVictoires
Matt Murray
18
Matt MurrayPourcentage d’arrêts
Matt Murray
0.886

Statistiques d’équipe
Buts pour
105
3.00 GFG
Tirs pour
842
24.06 Avg
Pourcentage en avantage numérique
28.4%
23 GF
Début de zone offensive
36.2%
Buts contre
87
2.49 GAA
Tirs contre
772
22.06 Avg
Pourcentage en désavantage numérique
70.2%%
28 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralAlec McMillan
EntraîneurBruce Cassidy
DivisionDivision 1
ConférenceConference 1
CapitaineGabriel Landeskog
Assistant #1Alexander Romanov
Assistant #2Luke Kunin


Informations de l’aréna

Capacité3,000
Assistance2,657
Billets de saison1,500


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 100
Espoirs43


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
1Luke Kunin (A)XXX100.0090697977726892676361717825717269746902821,467,000$
2Joel FarabeeX100.0077568776696898713765696741707168596802611,452,000$
3Kailer YamamotoXX100.0071429584626281662660716380686967716602731,067,000$
4Matej Blumel (R)X100.007874877074848969506372676747466976660251925,000$
5Gabriel Landeskog (R) (C)X100.0076777280773831685062716667464565706103321,487,000$
6Callahan BurkeX100.007465967665768255684957615346455975600281875,000$
7Brett SeneyX100.0065598067597174615061575854464559665902911,099,000$
8Carson MeyerXX100.0072698065695452635060626259464561675902821,073,000$
9Otto Stenberg (R)X100.0075669765676466567156536250454558645802031,287,000$
10Alexander Romanov (A)X100.0088469072808581612561488825696964737302621,963,000$
11Logan StanleyX100.0079886469916780622557478125646460686902731,324,000$
12Sam MalinskiX100.0071439379696893622551507725585761666702721,000,000$
13Jack St. Ivany (R)X100.0084797568806973612544468825484861586702621,500,000$
14Nolan Allan (R)X100.007844887074667860255147782548486068650222850,000$
15Dennis GilbertX100.0087995468835452572554477325595857576302911,624,700$
16Yan KuznetsovX100.0083848566857987482539416440464554676202331,058,000$
17Jeremy DaviesX100.0071678368678187582551506048454560436102911,056,000$
18Jake Furlong (R)X100.0077729062727381452535396037444452435802131,286,000$
Rayé
1Carter Mazur (R)X99.5171648768655047645058666263454563625902331,073,000$
2Anders BjorkXX100.0076709163705454545053516348444558375502921,142,000$
3Miko Matikka (R)X100.0078709760704242465043446242444451205102231,316,000$
4Nathan Villeneuve (R)X100.0066705680705154445538445542444450205101931,266,000$
5Brendan LemieuxX100.0065773761773735505038565653444452425002911,350,000$
6Dakota MermisX100.0074718070715557482540396237545452195703221,500,000$
7Connor Corcoran (R)X100.007973926373474748253941633944445220550255850,000$
MOYENNE D’ÉQUIPE99.98766881707263695840525467445151595561
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
1Matt Murray100.006647599070757678817630666967847203132,900,000$
2Casey DeSmith100.007657586581727475827667626374767003422,250,000$
Rayé
1Eric Comrie100.007252527379657373797291545471326703033,000,000$
2Frederik Andersen100.006154579265567762656179727663326603622,331,000$
3Jonathan Quick100.006154588065566962656175808562326504023,000,000$
4Charlie Lindgren100.006369687565607364656379606165326403232,437,000$
5Hunter Shepard100.004952657647515255525295444452325303021,088,000$
MOYENNE D’ÉQUIPE100.0064556079676271677066746365654665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy80808080808080CAN5152,000,000$


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
1Luke KuninCondors (EDM)C/LW/RW31162238439154554104216715.38%1371623.132355462024542152.42%3512610001.0612210333
2Matej BlumelCondors (EDM)RW34112031105840434889224612.36%1465619.3145921560000150147.83%1381412010.9401215203
3Joel FarabeeCondors (EDM)LW221514291040262791274216.48%1042719.4534710350110454044.44%18246021.3612000420
4Callahan BurkeCondors (EDM)C35101727575525366192615.15%1370220.07210129430001133053.04%626169000.7701100223
5Kailer YamamotoCondors (EDM)C/RW3581624700425980295110.00%565318.6702210350110362035.23%176307000.7312000123
6Alexander RomanovCondors (EDM)D352161810361045614426244.55%3795127.181569700001751133.33%31118000.3800002101
7Logan StanleyCondors (EDM)D35116179983049563519172.86%3379222.65123970011158100%1719000.4300222100
8Carter MazurCondors (EDM)LW32981712315323258223715.52%749115.364377300000361146.67%3068000.6902102212
9Gabriel LandeskogCondors (EDM)LW359716105125584987213810.34%1162918.0031412490112421150.00%90235000.5100221012
10Carson MeyerCondors (EDM)LW/RW3576136262052433051423.33%960317.24112549000020135.29%1798000.4300013011
11Sam MalinskiCondors (EDM)D3528102803345315166.45%2572120.621125471011530033.33%3519000.2800000001
12Brett SeneyCondors (EDM)LW35549160322836121713.89%648613.90101340000341042.86%1464000.3700000011
13Otto StenbergCondors (EDM)C343471002528204915.00%341612.2500000000020054.55%12145000.3400000000
14Jack St. IvanyCondors (EDM)D350446951599340%61564.4600006000015000%003000.5100100010
15Anders BjorkCondors (EDM)LW/RW123034001411861437.50%515613.0200000000011033.33%604000.3800000001
16Dennis GilbertCondors (EDM)D3512383220394112358.33%443512.4600000011031000%137000.1400112001
17Nolan AllanCondors (EDM)D35112517532453113143.23%4076121.74000541000037000%0219000.0500100001
18Dakota MermisCondors (EDM)D1000000000000%044.250000000000000%00000000000000
19Yan KuznetsovCondors (EDM)D3500059522207330%842212.08000000000120033.33%31900000100000
20Jeremy DaviesCondors (EDM)D23000000421100%21315.720000000000000%30000000000000
21Philip TomasinoOilersC/LW/RW1000000322210%01717.8700000000000042.86%71000000000000
22Brendan LemieuxCondors (EDM)LW12000520101121000%0584.9100001000000036.36%110000000200000
23Jake FurlongCondors (EDM)D23000000010000%090.410000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne64510316526810944320567471684226344512.23%2511040416.132337601105923581056917649.47%1619188172030.5231016817161423
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
1Matt MurrayCondors (EDM)35181330.8862.4520782685746379400.81811350232
2Casey DeSmithCondors (EDM)21000.9621.673600126130000035000
Statistiques d’équipe totales ou en moyenne37191330.8892.442115268677239240113535232


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander RomanovCondors (EDM)D262000-01-06RUSNo220 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,963,000$1,226,875$0$0$No1,963,000$--------894,167$--------No--------Lien
Anders BjorkCondors (EDM)LW/RW291996-08-05USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,142,000$713,750$0$0$No1,142,000$--------1,720,000$--------No--------Lien / Lien NHL
Brendan LemieuxCondors (EDM)LW291996-03-15USANo213 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$843,750$0$0$No---------------------------Lien / Lien NHL
Brett SeneyCondors (EDM)LW291996-02-28CANNo167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,099,000$686,875$0$0$No---------------------------Lien / Lien NHL
Callahan BurkeCondors (EDM)C281997-03-19USANo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$546,875$0$0$No---------------------------Lien
Carson MeyerCondors (EDM)LW/RW281997-08-18USANo193 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,073,000$670,625$0$0$No1,073,000$--------818,163$--------No--------Lien
Carter MazurCondors (EDM)LW232002-03-28USAYes170 Lbs6 ft0NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,073,000$670,625$0$0$No1,073,000$1,073,000$-------1,073,000$1,073,000$-------NoNo-------Lien
Casey DeSmithCondors (EDM)G341991-08-13USANo180 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm2,250,000$1,406,250$0$0$No2,250,000$--------2,250,000$--------No--------Lien / Lien NHL
Charlie LindgrenCondors (EDM)G321993-12-18USANo190 Lbs6 ft2NoNoN/ANoNo32025-04-30FalseFalsePro & Farm2,437,000$1,523,125$0$0$No2,437,000$2,437,000$-------2,437,000$2,437,000$-------NoNo-------Lien / Lien NHL
Connor CorcoranCondors (EDM)D252000-08-07ONYes197 Lbs6 ft2NoNoDraftNoNo52025-11-17FalseFalsePro & Farm850,000$531,250$0$0$No850,000$850,000$850,000$850,000$-----850,000$850,000$850,000$850,000$-----NoNoNoNo-----Lien
Dakota MermisCondors (EDM)D321994-01-05USANo197 Lbs6 ft0NoNoFree AgentNoNo22024-09-20FalseFalsePro & Farm1,500,000$937,500$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Dennis GilbertCondors (EDM)D291996-10-30USANo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,624,700$1,015,438$0$0$No---------------------------Lien / Lien NHL
Eric ComrieCondors (EDM)G301995-07-06CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm3,000,000$1,875,000$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Lien / Lien NHL
Frederik AndersenCondors (EDM)G361989-10-02DENNo229 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm2,331,000$1,456,875$0$0$No2,331,000$--------4,552,000$--------No--------Lien / Lien NHL
Gabriel LandeskogCondors (EDM)LW331992-11-23SWEYes216 Lbs6 ft0NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,487,000$929,375$0$0$No1,487,000$--------1,487,000$--------No--------Lien
Hunter ShepardCondors (EDM)G301995-11-07USANo215 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,088,000$680,000$0$0$No1,088,000$--------788,000$--------No--------Lien
Jack St. IvanyCondors (EDM)D261999-07-22USAYes205 Lbs6 ft4NoNoFree AgentNoNo22024-09-20FalseFalsePro & Farm1,500,000$937,500$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Jake FurlongCondors (EDM)D212004-03-04CANYes195 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$803,750$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Jeremy DaviesCondors (EDM)D291996-12-04CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,056,000$660,000$0$0$No---------------------------Lien
Joel FarabeeCondors (EDM)LW262000-02-25USANo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,452,000$907,500$0$0$No---------------------------Lien
Jonathan Quick (contrat à 1 volet)Condors (EDM)G401986-01-21USANo220 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm3,000,000$1,950,000$3,000,000$1,950,000$No3,000,000$--------3,000,000$--------No--------Lien / Lien NHL
Kailer YamamotoCondors (EDM)C/RW271998-09-29USANo178 Lbs5 ft9NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,067,000$666,875$0$0$No1,067,000$1,067,000$-------1,067,000$1,067,000$-------NoNo-------Lien / Lien NHL
Logan StanleyCondors (EDM)D271998-05-26CANNo231 Lbs6 ft7NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,324,000$827,500$0$0$No1,324,000$1,324,000$-------1,324,000$1,324,000$-------NoNo-------Lien / Lien NHL
Luke KuninCondors (EDM)C/LW/RW281997-12-04USANo197 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,467,000$916,875$0$0$No1,467,000$--------750,000$--------No--------Lien / Lien NHL
Matej BlumelCondors (EDM)RW252000-05-31CZEYes205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Lien
Matt MurrayCondors (EDM)G311994-05-25CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm2,900,000$1,812,500$0$0$No2,900,000$2,900,000$-------2,900,000$2,900,000$-------NoNo-------Lien / Lien NHL
Miko MatikkaCondors (EDM)RW222003-10-26FINYes183 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,316,000$822,500$0$0$No1,316,000$1,316,000$-------1,316,000$1,316,000$-------NoNo-------Lien
Nathan VilleneuveCondors (EDM)C192006-04-13CANYes194 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$791,250$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Nolan AllanCondors (EDM)D222003-04-28CANYes195 Lbs6 ft2NoNoProspectNoNo22024-09-17FalseFalsePro & Farm850,000$531,250$0$0$No850,000$--------850,000$--------No--------Lien
Otto StenbergCondors (EDM)C202005-05-29SWEYes180 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$804,375$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Sam MalinskiCondors (EDM)D271998-07-27USANo190 Lbs5 ft11NoNoFree AgentNoNo22024-09-20FalseFalsePro & Farm1,000,000$625,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Yan KuznetsovCondors (EDM)D232002-03-09RUSNo220 Lbs6 ft5NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,058,000$661,250$0$0$No1,058,000$1,058,000$-------1,058,000$1,058,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3227.69198 Lbs6 ft12.221,496,772$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kailer YamamotoCallahan BurkeLuke Kunin40122
2Gabriel LandeskogMatej BlumelCarson Meyer30122
3Joel FarabeeCallahan BurkeLuke Kunin20122
4Brett SeneyOtto StenbergMatej Blumel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley40122
2Nolan AllanSam Malinski30122
3Nolan AllanAlexander Romanov20122
4Yan KuznetsovAlexander Romanov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelCallahan BurkeKailer Yamamoto60122
2Gabriel LandeskogLuke KuninCarson Meyer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Nolan AllanSam Malinski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel LandeskogLuke Kunin60122
2Callahan BurkeMatej Blumel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Nolan AllanSam Malinski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Callahan Burke60122Alexander RomanovLogan Stanley60122
2Luke Kunin40122Yan KuznetsovSam Malinski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Callahan BurkeMatej Blumel60122
2Gabriel LandeskogLuke Kunin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Nolan AllanSam Malinski40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelLuke KuninKailer YamamotoAlexander RomanovLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelLuke KuninKailer YamamotoAlexander RomanovLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Landeskog, Callahan Burke, Luke KuninLuke Kunin, Callahan BurkeLuke Kunin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nolan Allan, Alexander Romanov, Yan KuznetsovNolan AllanAlexander Romanov, Yan Kuznetsov
Tirs de pénalité
Matej Blumel, Luke Kunin, Callahan Burke, Kailer Yamamoto, Gabriel Landeskog
Gardien
#1 : Matt Murray, #2 : Casey DeSmith


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
1Admirals11000000202000000000001100000020221.000235012144365202092973331311810145120.00%000%030058151.64%30660650.50%19541846.65%665284629368824417
2Bears1010000045-11010000045-10000000000000.000471100214436520209297333134011614000%3233.33%030058151.64%30660650.50%19541846.65%665284629368824417
3Bruins22000000734110000002021100000053241.0007111801214436537209297333132611143811100.00%70100.00%130058151.64%30660650.50%19541846.65%665284629368824417
4Canucks4120000169-33120000035-21000000134-130.375610160121443657220929733313661953674125.00%9366.67%030058151.64%30660650.50%19541846.65%665284629368824417
5Checkers11000000422000000000001100000042221.000481200214436535209297333131739173133.33%20100.00%030058151.64%30660650.50%19541846.65%665284629368824417
6Crunch311010009721010000023-12100100074340.667913220021443656420929733313451125718225.00%10550.00%030058151.64%30660650.50%19541846.65%665284629368824417
7Griffins10000010101100000101010000000000021.0001010121443652020929733313741415100.00%20100.00%030058151.64%30660650.50%19541846.65%665284629368824417
8Gulls31200000853211000008441010000001-120.333813210121443657520929733313621780577114.29%10370.00%130058151.64%30660650.50%19541846.65%665284629368824417
9Heat2110000034-1000000000002110000034-120.500347002144365472092973331346818473133.33%4250.00%030058151.64%30660650.50%19541846.65%665284629368824417
10Islanders1010000025-31010000025-30000000000000.00023500214436528209297333133316611100.00%3233.33%030058151.64%30660650.50%19541846.65%665284629368824417
11Monsters2010010035-21010000012-11000010023-110.250358002144365302092973331341116442150.00%30100.00%030058151.64%30660650.50%19541846.65%665284629368824417
12Moose11000000523000000000001100000052321.000581300214436548209297333131832831200.00%4175.00%030058151.64%30660650.50%19541846.65%665284629368824417
13Reign1010000014-3000000000001010000014-300.000123002144365162092973331342181912300.00%2150.00%030058151.64%30660650.50%19541846.65%665284629368824417
14Roadrunners2010100046-21010000025-31000100021120.50047110021443653520929733313502312334125.00%6183.33%030058151.64%30660650.50%19541846.65%665284629368824417
15Rocket11000000303110000003030000000000021.0003360121443652020929733313320242150.00%000%030058151.64%30660650.50%19541846.65%665284629368824417
16Senators11000000615110000006150000000000021.00061016002144365322092973331320823143266.67%30100.00%030058151.64%30660650.50%19541846.65%665284629368824417
17Silver Knights3200001015782100001011471100000043161.000152540002144365100209297333139630897221628.57%12191.67%130058151.64%30660650.50%19541846.65%665284629368824417
18Thunderbirds1010000025-3000000000001010000025-300.00023500214436520209297333134117818200.00%4250.00%030058151.64%30660650.50%19541846.65%665284629368824417
19Wild1000010056-1000000000001000010056-110.500581300214436533209297333133612412200.00%2150.00%030058151.64%30660650.50%19541846.65%665284629368824417
20Wolf Pack32100000151141010000045-122000000116540.6671522370021443659020929733313721921637457.14%8450.00%030058151.64%30660650.50%19541846.65%665284629368824417
Total35151302221105871817690002049391018940220156488410.58610516527006214436584220929733313772251445674812328.40%942870.21%330058151.64%30660650.50%19541846.65%665284629368824417
_Since Last GM Reset35151302221105871817690002049391018940220156488410.58610516527006214436584220929733313772251445674812328.40%942870.21%330058151.64%30660650.50%19541846.65%665284629368824417
_Vs Conference231170121177542313660001040241610510120137307290.6307712019704214436555320929733313467140315462571933.33%641773.44%330058151.64%30660650.50%19541846.65%665284629368824417
_Vs Division139601111332947450001022139651011011116-5240.923335487022144365310209297333133129225925538923.68%371072.97%230058151.64%30660650.50%19541846.65%665284629368824417

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3541W110516527084277225144567406
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
351513222110587
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
176900204939
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
189422015648
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
812328.40%942870.21%3
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
209297333132144365
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
30058151.64%30660650.50%19541846.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
665284629368824417


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
11Canucks4Condors2LSommaire du match
224Condors5Moose2WSommaire du match
440Gulls0Condors6WSommaire du match
553Condors5Wild6LXSommaire du match
773Silver Knights1Condors7WSommaire du match
884Condors5Bruins3WSommaire du match
9100Condors5Wolf Pack2WSommaire du match
10114Condors3Heat1WSommaire du match
11122Silver Knights3Condors4WXXSommaire du match
12135Condors5Crunch3WSommaire du match
13154Crunch3Condors2LSommaire du match
15174Wolf Pack5Condors4LSommaire du match
16190Condors0Gulls1LSommaire du match
17206Canucks0Condors1WSommaire du match
18222Condors3Canucks4LXXSommaire du match
19233Condors4Silver Knights3WSommaire du match
20243Senators1Condors6WSommaire du match
22266Gulls4Condors2LSommaire du match
24283Condors2Thunderbirds5LSommaire du match
25297Griffins0Condors1WXXSommaire du match
27308Condors6Wolf Pack4WSommaire du match
28328Canucks1Condors0LSommaire du match
29345Condors4Checkers2WSommaire du match
30351Condors2Crunch1WXSommaire du match
31371Bears5Condors4LSommaire du match
32388Condors2Admirals0WSommaire du match
33398Monsters2Condors1LSommaire du match
34411Condors0Heat3LSommaire du match
35429Roadrunners5Condors2LSommaire du match
36446Condors2Roadrunners1WXSommaire du match
37457Condors1Reign4LSommaire du match
38464Islanders5Condors2LSommaire du match
40491Rocket0Condors3WSommaire du match
41507Condors2Monsters3LXSommaire du match
42519Bruins0Condors2WSommaire du match
43541Eagles-Condors-
44555Condors-Eagles-
45565Condors-Gulls-
46582Moose-Condors-
47601Condors-Islanders-
48612Senators-Condors-
49630Condors-Rocket-
50642Condors-Stars-
51651Comets-Condors-
53673Checkers-Condors-
54693Condors-Bears-
55706Bruins-Condors-
57722Condors-Crunch-
58736Wolves-Condors-
59749Condors-IceHogs-
60765Condors-Americans-
61775Admirals-Condors-
63798Silver Knights-Condors-
64814Condors-Silver Knights-
65829Moose-Condors-
67845Condors-Griffins-
68860Heat-Condors-
69873Condors-Wolves-
70890Stars-Condors-
72902Condors-Moose-
73922Phantoms-Condors-
74934Condors-Wild-
76953Condors-Phantoms-
77960Barracuda-Condors-
79981Condors-Barracuda-
80991Marlies-Condors-
821017IceHogs-Condors-
831025Condors-Senators-
851048Thunderbirds-Condors-
861066Condors-Penguins-
871073Condors-Wild-
881084Condors-Bruins-
891096Reign-Condors-
901113Wolf Pack-Condors-
911127Condors-Senators-
921146Crunch-Condors-
941166Condors-Comets-
951175Wild-Condors-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971191Condors-Marlies-
981206Condors-Bruins-
991214Penguins-Condors-
1011237Americans-Condors-
1031263Wolf Pack-Condors-
1071296Gulls-Condors-
1081310Wild-Condors-
1101325Condors-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance32,50512,658
Assistance PCT95.60%74.46%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2657 - 88.55% 102,111$1,735,879$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,433,256$ 4,489,670$ 4,489,670$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
40,086$ 1,683,261$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,654,874$ 70 57,943$ 4,056,010$




Condors Leaders statistiques des joueurs (saison régulière)

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

Condors Leaders des statistiques des gardiens (saison régulière)

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

Condors Statistiques de l'Équipe de Carrière

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

Condors Leaders statistiques des joueurs (séries éliminatoires)

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

Condors Leaders des statistiques des gardiens (séries éliminatoires)

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