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

Condors
GP: 85 | W: 47 | L: 25 | OTL: 13 | P: 107
GF: 225 | GA: 186 | PP%: 24.57% | PK%: 74.46%
DG: Alec McMillan | Morale : 61 | Moyenne d’équipe : 62
Prochains matchs #1325 vs Canucks

Centre de jeu
Gulls
45-28-12, 102pts
4
3 Condors
47-25-13, 107pts
Team Stats
W1SéquenceL1
26-13-3Fiche domicile25-13-5
19-15-9Fiche domicile22-12-8
5-4-1Derniers 10 matchs5-3-2
2.20Buts par match 2.65
2.36Buts contre par match 2.19
26.26%Pourcentage en avantage numérique24.57%
71.71%Pourcentage en désavantage numérique74.46%
Wild
71-12-2, 144pts
5
2 Condors
47-25-13, 107pts
Team Stats
W9SéquenceL1
34-6-2Fiche domicile25-13-5
37-6-0Fiche domicile22-12-8
9-1-0Derniers 10 matchs5-3-2
4.59Buts par match 2.65
2.47Buts contre par match 2.19
22.96%Pourcentage en avantage numérique24.57%
78.17%Pourcentage en désavantage numérique74.46%
Condors
47-25-13, 107pts
Jour 110
Canucks
35-36-14, 84pts
Statistiques d’équipe
L1SéquenceL2
25-13-5Fiche domicile19-17-6
22-12-8Fiche visiteur16-19-8
5-3-210 derniers matchs3-5-2
2.65Buts par match 2.54
2.19Buts contre par match 2.54
24.57%Pourcentage en avantage numérique29.94%
74.46%Pourcentage en désavantage numérique66.49%
Meneurs d'équipe
Luke KuninButs
Luke Kunin
45
Luke KuninPasses
Luke Kunin
43
Luke KuninPoints
Luke Kunin
88
Plus/Moins
Alexander Romanov
29
Matt MurrayVictoires
Matt Murray
46
Matt MurrayPourcentage d’arrêts
Matt Murray
0.894

Statistiques d’équipe
Buts pour
225
2.65 GFG
Tirs pour
1758
20.68 Avg
Pourcentage en avantage numérique
24.6%
43 GF
Début de zone offensive
36.3%
Buts contre
186
2.19 GAA
Tirs contre
1684
19.81 Avg
Pourcentage en désavantage numérique
74.5%%
59 GA
Début de la zone défensive
38.7%
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)XXX97.0091697977726892696463747925737468867002821,467,000$
2Joel FarabeeX97.0077568876696898713766706641727266826802611,452,000$
3Matej Blumel (R)X100.007874877074848970506473666748486880670251925,000$
4Kailer YamamotoXX98.0071429584626281672562716280697166796602731,067,000$
5Gabriel Landeskog (R) (C)X99.0077777280773831685062716567474664586103321,487,000$
6Callahan BurkeX100.007465967665768255695057615347475883600291875,000$
7Brett SeneyX100.0065598067597174615061575754474758815903011,099,000$
8Carter Mazur (R)X100.0071648869665047645058666263464663545902431,073,000$
9Carson MeyerXX100.0073698165695452625059626159474760825902821,073,000$
10Otto Stenberg (R)X100.0074669767696466557155526050474757805802031,287,000$
11Alexander Romanov (A)X100.0088469073818581632562518925707163807302621,963,000$
12Logan StanleyX100.0080886369916780632558488225656659746902831,324,000$
13Sam MalinskiX100.0070439379696893612550497625595960806702721,000,000$
14Nolan Allan (R)X100.007844897276667860255046772550505978650232850,000$
15Yan KuznetsovX100.0082848568877987472537416240474753816202431,058,000$
16Jeremy DaviesX100.0070678468678187582550505848474758636102911,056,000$
17Jake Furlong (R)X100.0076729163737381442534385937464650595802231,286,000$
Rayé
1Anders BjorkXX100.0076709163705454545053516348444558195502921,142,000$
2Miko Matikka (R)X100.0078709760704242465043446242444451205102231,316,000$
3Nathan Villeneuve (R)X100.0066705680705154445538445542444450205102031,266,000$
4Brendan LemieuxX100.0065773761773735505038565653444452205003011,350,000$
5Jack St. Ivany (R)X100.0084797668806973602543468725504959606702621,500,000$
6Dennis GilbertX97.9386995568835452562552477125606056676202911,624,700$
7Dakota MermisX100.0073718170715557482539396237555551195703221,500,000$
8Connor Corcoran (R)X100.007973926373474748253941633944445220550255850,000$
MOYENNE D’ÉQUIPE99.56766882707363695840515466445253586161
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 Murray98.006647599070767881837630687166877303232,900,000$
2Casey DeSmith100.007657586581727475827667626374817003422,250,000$
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’ÉQUIPE99.7164556079676271677066746365653865
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/RW794543882382201231442636016017.11%41183723.26371016112303914910254.17%9367334200.962122201288
2Matej BlumelCondors (EDM)RW842741682176501091252005211213.50%28167920.008816421320002631245.02%3314225010.81211226528
3Kailer YamamotoCondors (EDM)C/RW852041611715589128206631349.71%19168119.7858132710002211044033.26%4757523000.7324010257
4Joel FarabeeCondors (EDM)LW723127582017592842037010515.27%22138819.285510217601171289143.55%624719120.8415000633
5Callahan BurkeCondors (EDM)C851838562711510511099405718.18%23163519.243161913840002416155.94%12462430000.6823100537
6Alexander RomanovCondors (EDM)D857364329431511114410854546.48%112227526.7738112515401142031266.67%63651000.3801003254
7Logan StanleyCondors (EDM)D854273121236801321327242385.56%90187722.08358141500112161100%11848000.3300376111
8Gabriel LandeskogCondors (EDM)LW71161430131104012879142447211.27%19125817.7352719880112682245.61%1714318000.4800233113
9Carson MeyerCondors (EDM)LW/RW851412261153251189059154423.73%12149517.602138110000041228.13%321819000.3500014133
10Brett SeneyCondors (EDM)LW851015252300928391304210.99%23136016.011016300001772150.88%572015000.3700000043
11Carter MazurCondors (EDM)LW59131225182515595795346913.68%1085614.514377320000471252.50%401212000.5802102333
12Sam MalinskiCondors (EDM)D8521517414075986417283.13%64175420.64123910310121360050.00%41636000.1900000011
13Otto StenbergCondors (EDM)C846814500667239102215.38%5114913.69000030000332052.58%310614000.2400000100
14Nolan AllanCondors (EDM)D821677255701015222211.92%71161819.74000775000083000%0832000.0900100001
15Jack St. IvanyCondors (EDM)D78167142410343518685.56%205647.240111240000490050.00%206000.2500110010
16Anders BjorkCondors (EDM)LW/RW123034001411861437.50%515613.0200000000011033.33%604000.3800000001
17Jeremy DaviesCondors (EDM)D7303324016174130%45647.7400000000050025.00%432000.1100000000
18Dennis GilbertCondors (EDM)D85123164620576123784.35%1085610.0800001011033000%3313000.0700112001
19Dakota MermisCondors (EDM)D19011020261200%1753.9700000000015000%102000.2600000000
20Yan KuznetsovCondors (EDM)D8500018241047498340%13108912.82000050000340040.00%531300000101000
21Philip TomasinoOilersC/LW/RW1000000322210%01717.8700000000000042.86%71000000000000
22Brendan LemieuxCondors (EDM)LW12000520101121000%0584.9100001000000036.36%110000000200000
23Jake FurlongCondors (EDM)D73000-175150000%0961.330000200000000%00100000010000
Statistiques d’équipe totales ou en moyenne156421934756627686432015541635175858099612.46%5922534916.21436610921512924711321445411550.05%3710448417330.45938171927394054
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)854625130.8942.0651366151761656811820.71442850662
2Casey DeSmithCondors (EDM)21000.9621.673600126130000085000
Statistiques d’équipe totales ou en moyenne874725130.8952.055173615177168282482428585662


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$70,107$0$0$No1,963,000$--------894,167$--------No--------Lien
Anders BjorkCondors (EDM)LW/RW291996-08-05USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,142,000$40,786$0$0$No1,142,000$--------1,720,000$--------No--------Lien / Lien NHL
Brendan LemieuxCondors (EDM)LW301996-03-15USANo213 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$48,214$0$0$No---------------------------Lien / Lien NHL
Brett SeneyCondors (EDM)LW301996-02-28CANNo167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,099,000$39,250$0$0$No---------------------------Lien / Lien NHL
Callahan BurkeCondors (EDM)C291997-03-19USANo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$31,250$0$0$No---------------------------Lien
Carson MeyerCondors (EDM)LW/RW281997-08-18USANo193 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,073,000$38,321$0$0$No1,073,000$--------818,163$--------No--------Lien
Carter MazurCondors (EDM)LW242002-03-28USAYes170 Lbs6 ft0NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,073,000$38,321$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$80,357$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$87,036$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$30,357$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$53,571$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Dennis GilbertCondors (EDM)D291996-10-30USANo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,624,700$58,025$0$0$No---------------------------Lien / Lien NHL
Eric ComrieCondors (EDM)G301995-07-06CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm3,000,000$107,143$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$83,250$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$53,107$0$0$No1,487,000$--------1,487,000$--------No--------Lien
Hunter ShepardCondors (EDM)G301995-11-07USANo215 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,088,000$38,857$0$0$No1,088,000$--------788,000$--------No--------Lien
Jack St. IvanyCondors (EDM)D261999-07-22USAYes205 Lbs6 ft4NoNoFree AgentNoNo22024-09-20FalseFalsePro & Farm1,500,000$53,571$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Jake FurlongCondors (EDM)D222004-03-04CANYes195 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$45,929$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$37,714$0$0$No---------------------------Lien
Joel FarabeeCondors (EDM)LW262000-02-25USANo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,452,000$51,857$0$0$No---------------------------Lien
Jonathan Quick (contrat à 1 volet)Condors (EDM)G401986-01-21USANo220 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm3,000,000$300,000$3,000,000$300,000$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$38,107$0$0$No1,067,000$1,067,000$-------1,067,000$1,067,000$-------NoNo-------Lien / Lien NHL
Logan StanleyCondors (EDM)D281998-05-26CANNo231 Lbs6 ft7NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,324,000$47,286$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$52,393$0$0$No1,467,000$--------750,000$--------No--------Lien / Lien NHL
Matej BlumelCondors (EDM)RW252000-05-31CZEYes205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$33,036$0$0$No---------------------------Lien
Matt MurrayCondors (EDM)G321994-05-25CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm2,900,000$103,571$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$47,000$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$45,214$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Nolan AllanCondors (EDM)D232003-04-28CANYes195 Lbs6 ft2NoNoProspectNoNo22024-09-17FalseFalsePro & Farm850,000$30,357$0$0$No850,000$--------850,000$--------No--------Lien
Otto StenbergCondors (EDM)C202005-05-29SWEYes180 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$45,964$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$35,714$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Yan KuznetsovCondors (EDM)D242002-03-09RUSNo220 Lbs6 ft5NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,058,000$37,786$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
3228.00198 Lbs6 ft12.221,496,772$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel FarabeeLuke KuninMatej Blumel40122
2Gabriel LandeskogKailer YamamotoCarson Meyer30122
3Carter MazurCallahan BurkeLuke Kunin20122
4Brett SeneyOtto StenbergJoel Farabee10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley40122
2Sam MalinskiNolan Allan30122
3Yan Kuznetsov20122
4Jeremy DaviesJake Furlong10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel FarabeeLuke KuninMatej Blumel60122
2Gabriel LandeskogKailer YamamotoCarson Meyer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Sam MalinskiNolan Allan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luke KuninJoel Farabee60122
2Matej BlumelKailer Yamamoto40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Sam MalinskiNolan Allan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Luke Kunin60122Alexander RomanovLogan Stanley60122
2Joel Farabee40122Sam MalinskiNolan Allan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luke KuninJoel Farabee60122
2Matej BlumelKailer Yamamoto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLogan Stanley60122
2Sam MalinskiNolan Allan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel FarabeeLuke KuninMatej BlumelAlexander RomanovLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel FarabeeLuke KuninMatej BlumelAlexander RomanovLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Callahan Burke, Carter Mazur, Brett SeneyCallahan Burke, Carter MazurBrett Seney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Yan Kuznetsov, Jeremy DaviesYan Kuznetsov, Jeremy Davies
Tirs de pénalité
Luke Kunin, Joel Farabee, Matej Blumel, 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
1Admirals210001003211000010012-11100000020230.75035801391027116374186866385322839298225.00%20100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
2Americans200010017701000000123-11000100054130.7507121900391027116684186866385365223037100.00%10460.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
3Barracuda2000010168-21000010034-11000000134-120.50061016003910271164341868663853502217407228.57%6266.67%0686132651.73%710141650.14%46191350.49%1577638151892220851048
4Bears20100001810-21010000045-11000000145-110.25081321003910271164341868663853551783211100.00%4250.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
5Bruins55000000134922000000303330000001046101.0001321340339102711687418686638536120358011100.00%150100.00%1686132651.73%710141650.14%46191350.49%1577638151892220851048
6Canucks4120000169-33120000035-21000000134-130.37561016013910271167241868663853661953674125.00%9366.67%0686132651.73%710141650.14%46191350.49%1577638151892220851048
7Checkers22000000523110000001011100000042241.000510150139102711644418686638532389364125.00%20100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
8Comets20100010330100000102111010000012-120.50033600391027116234186866385328161438100.00%7271.43%0686132651.73%710141650.14%46191350.49%1577638151892220851048
9Crunch513010001314-12020000047-33110100097240.400131831103910271161024186866385382234710912433.33%21861.90%0686132651.73%710141650.14%46191350.49%1577638151892220851048
10Eagles21000010514100000102111100000030341.00055100139102711621418686638531246343133.33%3166.67%0686132651.73%710141650.14%46191350.49%1577638151892220851048
11Griffins2010001023-1100000101011010000013-220.5002240139102711641418686638532291833500.00%40100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
12Gulls51300001121203110000111832020000014-330.30012193111391027116115418686638531053212610012216.67%18572.22%1686132651.73%710141650.14%46191350.49%1577638151892220851048
13Heat31100010660100000103212110000034-140.6676814003910271166441868663853601127636233.33%6266.67%0686132651.73%710141650.14%46191350.49%1577638151892220851048
14IceHogs21000100523110000004041000010012-130.750591401391027116514186866385329172334300.00%40100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
15Islanders2010000159-41010000025-31000000134-110.250571200391027116544186866385363231028500.00%5260.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
16Marlies21001000523100010001011100000042241.0005611013910271164541868663853311013376116.67%4175.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
17Monsters2010010035-21010000012-11000010023-110.25035800391027116304186866385341116442150.00%30100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
18Moose421000109542010001012-12200000083560.75091322013910271167141868663853501645829111.11%10280.00%1686132651.73%710141650.14%46191350.49%1577638151892220851048
19Penguins21000100330110000002111000010012-130.7503470039102711635418686638532881527200.00%50100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
20Phantoms2010100045-11010000013-21000100032120.500471100391027116364186866385323916335120.00%8450.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
21Reign2110000045-1110000003121010000014-320.500471100391027116404186866385374272930500.00%7185.71%0686132651.73%710141650.14%46191350.49%1577638151892220851048
22Roadrunners2010100046-21010000025-31000100021120.5004711003910271163541868663853502312334125.00%6183.33%0686132651.73%710141650.14%46191350.49%1577638151892220851048
23Rocket21100000321110000003031010000002-220.5003360139102711632418686638531160402150.00%000%0686132651.73%710141650.14%46191350.49%1577638151892220851048
24Senators42200000149522000000122102020000027-540.500142337003910271168341868663853783151689222.22%12375.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
25Silver Knights5400001024816320000101651122000000835101.00024386201391027116134418686638531263795118301033.33%15286.67%1686132651.73%710141650.14%46191350.49%1577638151892220851048
26Stars2010000124-21000000123-11010000001-110.2502350039102711631418686638533412637000%3166.67%0686132651.73%710141650.14%46191350.49%1577638151892220851048
27Thunderbirds2110000056-1110000003121010000025-320.500591400391027116404186866385365322138600.00%8362.50%0686132651.73%710141650.14%46191350.49%1577638151892220851048
28Wild52101100201912110000067-1310011001412270.70020315100391027116127418686638532017747747114.29%18572.22%0686132651.73%710141650.14%46191350.49%1577638151892220851048
29Wolf Pack531010002114731101000108222000000116580.8002133540039102711612741868663853107324310113646.15%14564.29%0686132651.73%710141650.14%46191350.49%1577638151892220851048
30Wolves22000000514110000002021100000031241.000561101391027116274186866385322109322150.00%20100.00%0686132651.73%710141650.14%46191350.49%1577638151892220851048
Total853425076672251863943171302263111832842171205404114103111070.629225347572215391027116175841868663853168459287015541754324.57%2315974.46%4686132651.73%710141650.14%46191350.49%1577638151892220851048
_Since Last GM Reset853425076672251863943171302263111832842171205404114103111070.629225347572215391027116175841868663853168459287015541754324.57%2315974.46%4686132651.73%710141650.14%46191350.49%1577638151892220851048
_Vs Conference50231503423148110382613801121804931241070230268617630.6301482293772939102711610534186866385310073535669451053230.48%1443575.69%3686132651.73%710141650.14%46191350.49%1577638151892220851048
_Vs Division21171003112584810128701011392514993021011923-4451.07158921501339102711646841868663853481148347418641726.56%611575.41%2686132651.73%710141650.14%46191350.49%1577638151892220851048

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
85107L1225347572175816845928701554215
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8534257667225186
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
431713226311183
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4217125404114103
Derniers 10 matchs
WLOTWOTL SOWSOL
530002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1754324.57%2315974.46%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
41868663853391027116
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
686132651.73%710141650.14%46191350.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1577638151892220851048


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
74934Condors4Wild2WSommaire du match
76953Condors3Phantoms2WXSommaire du match
77960Barracuda4Condors3LXSommaire du match
79981Condors3Barracuda4LXXSommaire du match
80991Marlies0Condors1WXSommaire du match
821017IceHogs0Condors4WSommaire du match
831025Condors2Senators3LSommaire du match
851048Thunderbirds1Condors3WSommaire du match
861066Condors1Penguins2LXSommaire du match
871073Condors5Wild4WXSommaire du match
881084Condors3Bruins1WSommaire du match
891096Reign1Condors3WSommaire du match
901113Wolf Pack1Condors2WXSommaire du match
911127Condors0Senators4LSommaire du match
921146Crunch4Condors2LSommaire du match
941166Condors1Comets2LSommaire du match
951175Wild2Condors4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971191Condors4Marlies2WSommaire du match
981206Condors2Bruins0WSommaire du match
991214Penguins1Condors2WSommaire du match
1011237Americans3Condors2LXXSommaire du match
1031263Wolf Pack2Condors4WSommaire du match
1071296Gulls4Condors3LXXSommaire du match
1081310Wild5Condors2LSommaire du match
1101325Condors-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance82,08432,566
Assistance PCT95.45%75.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2666 - 88.88% 102,256$4,397,003$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
6,257,494$ 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$ 4,328,937$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 4 57,943$ 231,772$




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