Please rotate your device to landscape mode for a better experience.
Connexion

Condors
GP: 61 | W: 33 | L: 20 | OTL: 8 | P: 74
GF: 162 | GA: 132 | PP%: 27.48% | PK%: 72.73%
DG: Alec McMillan | Morale : 57 | Moyenne d’équipe : 62
Prochains matchs #934 vs Wild

Centre de jeu
Condors
33-20-8, 74pts
3
1 Moose
26-22-10, 62pts
Team Stats
L1SéquenceL2
17-11-2Fiche domicile12-12-6
16-9-6Fiche domicile14-10-4
6-2-2Derniers 10 matchs3-5-2
2.66Buts par match 1.84
2.16Buts contre par match 2.07
27.48%Pourcentage en avantage numérique24.58%
72.73%Pourcentage en désavantage numérique76.99%
Phantoms
28-26-6, 62pts
3
1 Condors
33-20-8, 74pts
Team Stats
W1SéquenceL1
12-15-3Fiche domicile17-11-2
16-11-3Fiche domicile16-9-6
8-2-0Derniers 10 matchs6-2-2
2.47Buts par match 2.66
2.82Buts contre par match 2.16
25.58%Pourcentage en avantage numérique27.48%
66.24%Pourcentage en désavantage numérique72.73%
Condors
33-20-8, 74pts
Jour 74
Wild
49-9-1, 99pts
Statistiques d’équipe
L1SéquenceW1
17-11-2Fiche domicile24-5-1
16-9-6Fiche visiteur25-4-0
6-2-210 derniers matchs8-1-1
2.66Buts par match 4.37
2.16Buts contre par match 4.37
27.48%Pourcentage en avantage numérique22.35%
72.73%Pourcentage en désavantage numérique79.00%
Condors
33-20-8, 74pts
Jour 76
Phantoms
28-26-6, 62pts
Statistiques d’équipe
L1SéquenceW1
17-11-2Fiche domicile12-15-3
16-9-6Fiche visiteur16-11-3
6-2-210 derniers matchs8-2-0
2.66Buts par match 2.47
2.16Buts contre par match 2.47
27.48%Pourcentage en avantage numérique25.58%
72.73%Pourcentage en désavantage numérique66.24%
Barracuda
39-15-6, 84pts
Jour 77
Condors
33-20-8, 74pts
Statistiques d’équipe
L1SéquenceL1
19-8-2Fiche domicile17-11-2
20-7-4Fiche visiteur16-9-6
5-4-110 derniers matchs6-2-2
1.90Buts par match 2.66
1.57Buts contre par match 2.66
24.17%Pourcentage en avantage numérique27.48%
85.00%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Luke KuninButs
Luke Kunin
31
Passes
Callahan Burke
37
Luke KuninPoints
Luke Kunin
60
Plus/Moins
Alexander Romanov
23
Matt MurrayVictoires
Matt Murray
32
Matt MurrayPourcentage d’arrêts
Matt Murray
0.887

Statistiques d’équipe
Buts pour
162
2.66 GFG
Tirs pour
1255
20.57 Avg
Pourcentage en avantage numérique
27.5%
36 GF
Début de zone offensive
36.6%
Buts contre
132
2.16 GAA
Tirs contre
1140
18.69 Avg
Pourcentage en désavantage numérique
72.7%%
39 GA
Début de la zone défensive
37.7%
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
Assistance2,666
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)XXX98.0090697977726892686362727825727369807002821,467,000$
2Joel FarabeeX100.0077568876696898703765696641717267716802611,452,000$
3Kailer YamamotoXX100.0071429584626281672661716380687066806602731,067,000$
4Matej Blumel (R)X100.007874877074848969506372666747476882660251925,000$
5Callahan BurkeX100.007465967665768256695157615346465882600291875,000$
6Brett SeneyX100.0065598067597174615061575854464658755903011,099,000$
7Carter Mazur (R)X100.0071648768655047645058666263464563395902431,073,000$
8Carson MeyerXX100.0072698165695452625059626259464660785902821,073,000$
9Otto Stenberg (R)X100.0074669766686466567155526150464658745802031,287,000$
10Alexander Romanov (A)X100.0088469072808581622562498925697063817302621,963,000$
11Logan StanleyX100.0080886469916780632557488125646559716902731,324,000$
12Sam MalinskiX100.0071439379696893612550507625585860746702721,000,000$
13Jack St. Ivany (R)X100.0084797668806973602543468625494960666702621,500,000$
14Dennis GilbertX100.0086995568835452562553477225595956666302911,624,700$
15Yan KuznetsovX100.0083848567867987482538416340464653776202431,058,000$
16Jeremy DaviesX100.0071678368678187582550505948464659526102911,056,000$
17Jake Furlong (R)X100.0076729163737381442534396037454551525802231,286,000$
18Dakota MermisX100.0074718070715557482540396237555451195703221,500,000$
Rayé
1Gabriel Landeskog (R) (C)X94.2277777280773831685062716567464665726103321,487,000$
2Anders BjorkXX100.0076709163705454545053516348444558195502921,142,000$
3Miko Matikka (R)X100.0078709760704242465043446242444451205102231,316,000$
4Nathan Villeneuve (R)X100.0066705680705154445538445542444450205102031,266,000$
5Brendan LemieuxX100.0065773761773735505038565653444452205003011,350,000$
6Nolan Allan (R)X100.007844897175667860255147782549496069650222850,000$
7Connor Corcoran (R)X100.007973926373474748253941633944445220550255850,000$
MOYENNE D’ÉQUIPE99.69766882707363695840515467445252595861
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 Murray100.006647599070767881837630677067887303132,900,000$
2Casey DeSmith100.007657586581727475827667626374827003422,250,000$
Rayé
1Eric Comrie100.007252527379657373797291545471206703033,000,000$
2Frederik Andersen100.006154579265567762656179727663206603622,331,000$
3Jonathan Quick100.006154588065566962656175808562206504023,000,000$
4Charlie Lindgren100.006369687565607364656379606165206403232,437,000$
5Hunter Shepard100.004952657647515255525295444452205303021,088,000$
MOYENNE D’ÉQUIPE100.0064556079676271677066746365653965
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/RW573129608562093991914110016.23%24130322.8725710773037905153.19%4084920000.9229220756
2Callahan BurkeCondors (EDM)C611537521195798389314416.85%19127220.853161913780001284056.33%11062220000.8223100536
3Matej BlumelCondors (EDM)RW601829471560408395143377712.59%16120120.02671331920000291244.84%2812717010.7828215405
4Kailer YamamotoCondors (EDM)C/RW611531461360689215146999.93%9119819.64571224700221613036.21%2435317000.7723000254
5Joel FarabeeCondors (EDM)LW4819143312805146107314917.76%1282217.1434710370110526148.28%29309120.8012000422
6Alexander RomanovCondors (EDM)D6132831234115861097638343.95%68167127.412791611101121181160.00%52335000.3700003233
7Gabriel LandeskogCondors (EDM)LW6016132915803010571126366212.70%15107317.8952718770112682246.90%1453516000.5400222113
8Logan StanleyCondors (EDM)D6142024141775587925328297.55%56134822.1133614109011292100%11328000.3600344110
9Carson MeyerCondors (EDM)LW/RW619918103420807038112523.68%9106317.44112579000020131.82%221414000.3400013031
10Carter MazurCondors (EDM)LW35981712315333458223815.52%750914.564377300000361146.67%3068000.6702102212
11Brett SeneyCondors (EDM)LW616713-1180675856172610.71%1093615.351013110001531055.26%38119000.2800000012
12Sam MalinskiCondors (EDM)D612810-38054805011224.00%42130221.361127751011850050.00%41126000.1500000001
13Otto StenbergCondors (EDM)C6044810051482771614.81%482813.81000030000101054.63%216510000.1900000000
14Nolan AllanCondors (EDM)D58156725558774420202.27%63129022.25000766000060000%0727000.0900100001
15Jack St. IvanyCondors (EDM)D610445115201611550%62754.52000060000150050.00%203000.2900100010
16Anders BjorkCondors (EDM)LW/RW123034001411861437.50%515613.0200000000011033.33%604000.3800000001
17Dennis GilbertCondors (EDM)D6112383220434413367.69%45749.4100000011032000%338000.1000112001
18Dakota MermisCondors (EDM)D4000020131000%0379.490000000000000%00000000000000
19Yan KuznetsovCondors (EDM)D610001011542438340%1287014.27000050000280040.00%521100000100000
20Jeremy DaviesCondors (EDM)D49000-20010102120%33787.7200000000020025.00%42100000000000
21Philip TomasinoOilersC/LW/RW1000000322210%01717.8700000000000042.86%71000000000000
22Brendan LemieuxCondors (EDM)LW12000520101121000%0584.9100001000000036.36%110000000200000
23Jake FurlongCondors (EDM)D49000000040000%0310.640000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne111515624840415662124511391189125539667312.43%3841822416.3436569216593747111787027951.21%2566314283130.44927171121282638
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)61322080.8872.0636732121261113545410.71932610342
2Casey DeSmithCondors (EDM)21000.9621.673600126130000061000
Statistiques d’équipe totales ou en moyenne63332080.8882.053710212127113955841326161342


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$683,545$0$0$No1,963,000$--------894,167$--------No--------Lien
Anders BjorkCondors (EDM)LW/RW291996-08-05USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,142,000$397,661$0$0$No1,142,000$--------1,720,000$--------No--------Lien / Lien NHL
Brendan LemieuxCondors (EDM)LW301996-03-15USANo213 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$470,089$0$0$No---------------------------Lien / Lien NHL
Brett SeneyCondors (EDM)LW301996-02-28CANNo167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,099,000$382,688$0$0$No---------------------------Lien / Lien NHL
Callahan BurkeCondors (EDM)C291997-03-19USANo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$304,688$0$0$No---------------------------Lien
Carson MeyerCondors (EDM)LW/RW281997-08-18USANo193 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,073,000$373,634$0$0$No1,073,000$--------818,163$--------No--------Lien
Carter MazurCondors (EDM)LW242002-03-28USAYes170 Lbs6 ft0NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,073,000$373,634$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$783,482$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$848,598$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$295,982$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$522,321$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Dennis GilbertCondors (EDM)D291996-10-30USANo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,624,700$565,744$0$0$No---------------------------Lien / Lien NHL
Eric ComrieCondors (EDM)G301995-07-06CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm3,000,000$1,044,643$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$811,688$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$517,795$0$0$No1,487,000$--------1,487,000$--------No--------Lien
Hunter ShepardCondors (EDM)G301995-11-07USANo215 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,088,000$378,857$0$0$No1,088,000$--------788,000$--------No--------Lien
Jack St. IvanyCondors (EDM)D261999-07-22USAYes205 Lbs6 ft4NoNoFree AgentNoNo22024-09-20FalseFalsePro & Farm1,500,000$522,321$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Jake FurlongCondors (EDM)D222004-03-04CANYes195 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$447,804$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$367,714$0$0$No---------------------------Lien
Joel FarabeeCondors (EDM)LW262000-02-25USANo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,452,000$505,607$0$0$No---------------------------Lien
Jonathan Quick (contrat à 1 volet)Condors (EDM)G401986-01-21USANo220 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm3,000,000$1,175,000$3,000,000$1,175,000$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$371,545$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$461,036$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$510,830$0$0$No1,467,000$--------750,000$--------No--------Lien / Lien NHL
Matej BlumelCondors (EDM)RW252000-05-31CZEYes205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$322,098$0$0$No---------------------------Lien
Matt MurrayCondors (EDM)G311994-05-25CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm2,900,000$1,009,821$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$458,250$0$0$No1,316,000$1,316,000$-------1,316,000$1,316,000$-------NoNo-------Lien
Nathan VilleneuveCondors (EDM)C202006-04-13CANYes194 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$440,839$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$295,982$0$0$No850,000$--------850,000$--------No--------Lien
Otto StenbergCondors (EDM)C202005-05-29SWEYes180 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$448,152$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$348,214$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Yan KuznetsovCondors (EDM)D242002-03-09RUSNo220 Lbs6 ft5NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,058,000$368,411$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
3227.91198 Lbs6 ft12.221,496,772$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kailer YamamotoCallahan BurkeLuke Kunin40122
2Joel FarabeeMatej BlumelCarson Meyer30122
3Joel FarabeeCallahan BurkeLuke Kunin20122
4Brett SeneyOtto StenbergMatej Blumel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley40122
2Jack St. IvanySam Malinski30122
3Logan StanleyAlexander Romanov20122
4Yan KuznetsovAlexander Romanov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelCallahan BurkeKailer Yamamoto60122
2Joel FarabeeLuke KuninCarson Meyer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Yan KuznetsovSam Malinski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kailer YamamotoLuke Kunin60122
2Callahan BurkeMatej Blumel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Yan KuznetsovSam 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
2Kailer YamamotoLuke Kunin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Yan KuznetsovSam 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
Matej Blumel, Callahan Burke, Luke KuninLuke Kunin, Callahan BurkeLuke Kunin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Stanley, Alexander Romanov, Yan KuznetsovAlexander RomanovAlexander Romanov, Yan Kuznetsov
Tirs de pénalité
Matej Blumel, Luke Kunin, Callahan Burke, Kailer Yamamoto, Carson Meyer
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
1Admirals210001003211000010012-11100000020230.7503580129695512372814555073922839298225.00%20100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
2Americans10001000541000000000001000100054121.0005914002969551231281455507393611817100.00%4325.00%049292653.13%49495451.78%32864850.62%112944910676621518769
3Bears20100001810-21010000045-11000000145-110.2508132100296955124328145550739551783211100.00%4250.00%049292653.13%49495451.78%32864850.62%112944910676621518769
4Bruins33000000835220000003031100000053261.00081321022969551251281455507393414214911100.00%80100.00%149292653.13%49495451.78%32864850.62%112944910676621518769
5Canucks4120000169-33120000035-21000000134-130.3756101601296955127228145550739661953674125.00%9366.67%049292653.13%49495451.78%32864850.62%112944910676621518769
6Checkers22000000523110000001011100000042241.00051015012969551244281455507392389364125.00%20100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
7Comets10000010211100000102110000000000021.00022400296955121728145550739129623100.00%3166.67%049292653.13%49495451.78%32864850.62%112944910676621518769
8Crunch41201000111011010000023-13110100097240.500111627002969551284281455507396820359311327.27%15660.00%049292653.13%49495451.78%32864850.62%112944910676621518769
9Eagles21000010514100000102111100000030341.0005510012969551221281455507391246343133.33%3166.67%049292653.13%49495451.78%32864850.62%112944910676621518769
10Griffins2010001023-1100000101011010000013-220.500224012969551241281455507392291833500.00%40100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
11Gulls41300000981211000008442020000014-320.25091423112969551288281455507397621114758225.00%12375.00%149292653.13%49495451.78%32864850.62%112944910676621518769
12Heat31100010660100000103212110000034-140.667681400296955126428145550739601127636233.33%6266.67%049292653.13%49495451.78%32864850.62%112944910676621518769
13IceHogs1000010012-1000000000001000010012-110.500123002969551219281455507391512915200.00%20100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
14Islanders2010000159-41010000025-31000000134-110.25057120029695512542814555073963231028500.00%5260.00%049292653.13%49495451.78%32864850.62%112944910676621518769
15Monsters2010010035-21010000012-11000010023-110.2503580029695512302814555073941116442150.00%30100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
16Moose421000109542010001012-12200000083560.7509132201296955127128145550739501645829111.11%10280.00%149292653.13%49495451.78%32864850.62%112944910676621518769
17Phantoms1010000013-21010000013-20000000000000.000123002969551217281455507391038143133.33%4250.00%049292653.13%49495451.78%32864850.62%112944910676621518769
18Reign1010000014-3000000000001010000014-300.0001230029695512162814555073942181912300.00%2150.00%049292653.13%49495451.78%32864850.62%112944910676621518769
19Roadrunners2010100046-21010000025-31000100021120.500471100296955123528145550739502312334125.00%6183.33%049292653.13%49495451.78%32864850.62%112944910676621518769
20Rocket21100000321110000003031010000002-220.500336012969551232281455507391160402150.00%000%049292653.13%49495451.78%32864850.62%112944910676621518769
21Senators220000001221022000000122100000000000041.00012203200296955125328145550739411427405240.00%50100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
22Silver Knights5400001024816320000101651122000000835101.0002438620129695512134281455507391263795118301033.33%15286.67%149292653.13%49495451.78%32864850.62%112944910676621518769
23Stars2010000124-21000000123-11010000001-110.250235002969551231281455507393412637000%3166.67%049292653.13%49495451.78%32864850.62%112944910676621518769
24Thunderbirds1010000025-3000000000001010000025-300.000235002969551220281455507394117818200.00%4250.00%049292653.13%49495451.78%32864850.62%112944910676621518769
25Wild1000010056-1000000000001000010056-110.5005813002969551233281455507393612412200.00%2150.00%049292653.13%49495451.78%32864850.62%112944910676621518769
26Wolf Pack32100000151141010000045-122000000116540.66715223700296955129028145550739721921637457.14%8450.00%049292653.13%49495451.78%32864850.62%112944910676621518769
27Wolves22000000514110000002021100000031241.00056110129695512272814555073922109322150.00%20100.00%049292653.13%49495451.78%32864850.62%112944910676621518769
Total612420034641621323030111100161765521311390330386779740.60716224841011229695512125528145550739114038462311391313627.48%1433972.73%449292653.13%49495451.78%32864850.62%112944910676621518769
_Since Last GM Reset612420034641621323030111100161765521311390330386779740.60716224841011229695512125528145550739114038462311391313627.48%1433972.73%449292653.13%49495451.78%32864850.62%112944910676621518769
_Vs Conference341710013211046836181060002056272916740130148417440.647104159263172969551273028145550739620204400671772633.77%842076.19%349292653.13%49495451.78%32864850.62%112944910676621518769
_Vs Division171280111146351196500010301614863011011619-3300.8824672118132969551237428145550739370106308335511529.41%441175.00%249292653.13%49495451.78%32864850.62%112944910676621518769

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6174L1162248410125511403846231139112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6124203464162132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30111101617655
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3113933038677
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1313627.48%1433972.73%4
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
2814555073929695512
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
49292653.13%49495451.78%32864850.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
112944910676621518769


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
43541Eagles1Condors2WXXSommaire du match
44555Condors3Eagles0WSommaire du match
45565Condors1Gulls3LSommaire du match
46582Moose2Condors0LSommaire du match
47601Condors3Islanders4LXXSommaire du match
48612Senators1Condors6WSommaire du match
49630Condors0Rocket2LSommaire du match
50642Condors0Stars1LSommaire du match
51651Comets1Condors2WXXSommaire du match
53673Checkers0Condors1WSommaire du match
54693Condors4Bears5LXXSommaire du match
55706Bruins0Condors1WSommaire du match
57722Condors2Crunch3LSommaire du match
58736Wolves0Condors2WSommaire du match
59749Condors1IceHogs2LXSommaire du match
60765Condors5Americans4WXSommaire du match
61775Admirals2Condors1LXSommaire du match
63798Silver Knights1Condors5WSommaire du match
64814Condors4Silver Knights0WSommaire du match
65829Moose0Condors1WXXSommaire du match
67845Condors1Griffins3LSommaire du match
68860Heat2Condors3WXXSommaire du match
69873Condors3Wolves1WSommaire du match
70890Stars3Condors2LXXSommaire du match
72902Condors3Moose1WSommaire du match
73922Phantoms3Condors1LSommaire du match
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
Assistance57,47522,511
Assistance PCT95.79%75.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
13 2666 - 88.87% 102,408$3,072,252$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,229,489$ 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$ 2,925,927$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,331,309$ 39 57,943$ 2,259,777$




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