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Oilers
GP: 74 | W: 45 | L: 26 | OTL: 3 | P: 93
GF: 339 | GA: 295 | PP%: 17.97% | PK%: 73.76%
DG: Alec McMillan | Morale : 79 | Moyenne d’équipe : 73
Prochains matchs #1138 vs Avalanche

Centre de jeu
Penguins
30-36-7, 67pts
3
5 Oilers
45-26-3, 93pts
Team Stats
W1SéquenceW5
19-14-4Fiche domicile24-11-2
11-22-3Fiche visiteur21-15-1
4-5-1Derniers 10 matchs9-1-0
4.15Buts par match 4.58
4.97Buts contre par match 3.99
17.34%Pourcentage en avantage numérique17.97%
78.55%Pourcentage en désavantage numérique73.76%
Golden Knights
29-36-9, 67pts
4
5 Oilers
45-26-3, 93pts
Team Stats
OTL1SéquenceW5
15-18-3Fiche domicile24-11-2
14-18-6Fiche visiteur21-15-1
4-5-1Derniers 10 matchs9-1-0
3.69Buts par match 4.58
4.30Buts contre par match 3.99
21.60%Pourcentage en avantage numérique17.97%
78.99%Pourcentage en désavantage numérique73.76%
Oilers
45-26-3, 93pts
Jour 96
Avalanche
35-35-4, 74pts
Statistiques d’équipe
W5SéquenceW1
24-11-2Fiche domicile15-20-1
21-15-1Fiche visiteur20-15-3
9-1-010 derniers matchs2-7-1
4.58Buts par match 4.30
3.99Buts contre par match 4.30
17.97%Pourcentage en avantage numérique19.47%
73.76%Pourcentage en désavantage numérique84.07%
Oilers
45-26-3, 93pts
Jour 98
Canucks
35-29-10, 80pts
Statistiques d’équipe
W5SéquenceL1
24-11-2Fiche domicile18-16-2
21-15-1Fiche visiteur17-13-8
9-1-010 derniers matchs6-3-1
4.58Buts par match 4.15
3.99Buts contre par match 4.15
17.97%Pourcentage en avantage numérique16.39%
73.76%Pourcentage en désavantage numérique80.40%
Avalanche
35-35-4, 74pts
Jour 99
Oilers
45-26-3, 93pts
Statistiques d’équipe
W1SéquenceW5
15-20-1Fiche domicile24-11-2
20-15-3Fiche visiteur21-15-1
2-7-110 derniers matchs9-1-0
4.30Buts par match 4.58
4.64Buts contre par match 4.58
19.47%Pourcentage en avantage numérique17.97%
84.07%Pourcentage en désavantage numérique73.76%
Meneurs d'équipe
Jonathan HuberdeauButs
Jonathan Huberdeau
49
Jonathan HuberdeauPasses
Jonathan Huberdeau
57
Jonathan HuberdeauPoints
Jonathan Huberdeau
106
Marcus JohanssonPlus/Moins
Marcus Johansson
35
Cam TalbotVictoires
Cam Talbot
30
Cam TalbotPourcentage d’arrêts
Cam Talbot
0.899

Statistiques d’équipe
Buts pour
339
4.58 GFG
Tirs pour
3355
45.34 Avg
Pourcentage en avantage numérique
18.0%
39 GF
Début de zone offensive
41.4%
Buts contre
295
3.99 GAA
Tirs contre
2864
38.70 Avg
Pourcentage en désavantage numérique
73.8%%
37 GA
Début de la zone défensive
32.8%
Informations de l'équipe

Directeur généralAlec McMillan
EntraîneurBarry Trotz
DivisionPacific
ConférenceWestern Conference
CapitaineJoel Eriksson Ek
Assistant #1John Carlson
Assistant #2


Informations de l’aréna

NomRexall Place
Capacité22,000
Assistance18,359
Billets de saison15,400


Informations de la formation

Équipe Pro20
Équipe Mineure32
Limite contact 52 / 100
Espoirs43


Plafond salarial

Cap Salarial de la Saison estimé74,139,635$
Plafond salarial disponible360,365$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour61,303,188$
Dépenses annuelles à ce jour59,565,425$
Revenus de la saison estimés9,941,058$
Dépenses de la saison estimées15,674,250$
Compte bancaire actuel133,421,315$
Compte bancaire projeté127,215,048$


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
1Wyatt JohnstonXXX100.0065429580717999888785927548676979897802211,000,417$
2Jonathan HuberdeauXX100.0068428878748198843685897161868878887803217,550,000$
3Joel Eriksson Ek (C)X100.0084458682778365908480867638767878887702913,212,000$
4Marcus JohanssonXX98.00694395897473897333797165368894698873X03513,000,000$
5Jordan MartinookX100.0076449377757096624574727575818571857203322,995,000$
6Kevin HayesXX100.0070449670826281768265746656828567877003413,802,000$
7Brandon TanevXX100.0087459485686496623363668125767968877003423,010,000$
8Alex NewhookXXX100.0076449190736999726864745925697168877002522,030,000$
9Kevin StenlundXX100.0066438673796799629764718325687069877002921,139,000$
10Max DomiXXX100.00627573907467916678776059398184648669N03132,374,000$
11Ondrej PalatX100.0080449576706694623161706237849268866703523,500,000$
12Philip TomasinoXXX100.0074439676726478673465705863666766866602421,620,000$
13John Carlson (A)X98.00674391758188968925805191489198668680036210,750,000$
14Thomas ChabotX99.0069439180748797782575548625757566867602922,350,000$
15Erik CernakX100.0086618277867593622559488825737763857502821,754,000$
16Jamie OleksiakX100.0072458874937699622553499025808362847503322,000,000$
17Connor MurphyX100.0082657968818185622559499225818262867403325,500,000$
18Ben ChiarotX100.00825576818282986125504984258185618574X03513,750,000$
Rayé
Équipe Mineure
1Luke KuninXXX98.0090697977726892686362737825737368867002821,467,000$
2Joel FarabeeX99.0077568876696898713765696641717266816802611,452,000$
3Matej Blumel (R)X100.007874877074848970506473666748486880670251925,000$
4Kailer YamamotoXX100.0071429584626281672662716280697166796602731,067,000$
5Gabriel Landeskog (R)X100.0077777280773831685062716567464664596103321,487,000$
6Callahan BurkeX100.007465967665768255695057615347475884600291875,000$
7Brett SeneyX100.0065598067597174615061575754474758815903011,099,000$
8Carter Mazur (R)X100.0071648869665047645058666263464663515902431,073,000$
9Carson MeyerXX100.0072698165695452625059626159474760835902821,073,000$
10Otto Stenberg (R)X100.0074669766686466557155526150474757815802031,287,000$
11Alexander RomanovX100.0088469073818581622562498925707163817302621,963,000$
12Logan StanleyX100.0080886369916780632557488125656659806902731,324,000$
13Sam MalinskiX100.0070439379696893622551497625595960816702721,000,000$
14Nolan Allan (R)X100.007844897175667860255146782550505978650232850,000$
15Dennis GilbertX100.0086995568835452562552477125606056756302911,624,700$
16Yan KuznetsovX100.0083848567867987472538416240474753816202431,058,000$
17Jeremy DaviesX100.0070678368678187582550505948474658616102911,056,000$
18Jake Furlong (R)X100.0076729163737381442534385937454550575802231,286,000$
19Anders BjorkXX100.0076709163705454545053516348444558195502921,142,000$
20Miko Matikka (R)X100.0078709760704242465043446242444451205102231,316,000$
21Nathan Villeneuve (R)X100.0066705680705154445538445542444450205102031,266,000$
22Brendan LemieuxX100.0065773761773735505038565653444452205003011,350,000$
23Jack St. Ivany (R)X89.1884797668806973602543468725504959646702621,500,000$
24Dakota MermisX100.0073718170715557482539396237555551255703221,500,000$
25Connor Corcoran (R)X100.007973926373474748253941633944445220550255850,000$
MOYENNE D’ÉQUIPE99.56756085747467786343595970426365627266
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
1Cam Talbot98.007277768379677172677271747670867303834,550,000$
2Marc-Andre Fleury100.006556617372587067656589889765886804125,250,000$
Rayé
Équipe Mineure
1Matt Murray100.006647599070767881837630687166907303132,900,000$
2Casey DeSmith100.007657586581727475827667626374827003422,250,000$
3Eric Comrie100.007252527379657373797291545471206703033,000,000$
4Frederik Andersen100.006154579265567762656179727663206603622,331,000$
5Jonathan Quick100.006154588065566962656175808562206504023,000,000$
6Charlie Lindgren100.006369687565607364656379606165206403232,437,000$
7Hunter Shepard100.004952657647515255525295444452205303021,088,000$
MOYENNE D’ÉQUIPE99.7865586279696271686966756770655067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz87966983999886CAN5841,100,000$


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
1Jonathan HuberdeauOilersLW/RW744957106303751078340111625012.22%53166822.551112235419701151165543.54%1477731011.27120011052
2Wyatt JohnstonOilersC/LW/RW7445551003400641293849822511.72%48148120.0241517480003685257.19%22825926021.3501000728
3Joel Eriksson EkOilersC74465197-326014111432710519414.07%27128417.367613271640003498255.34%11044823021.5102000956
4Marcus JohanssonOilersLW/RW742948773510094842787618810.43%50159721.5931619431960002543141.67%1325617000.9601000163
5Alex NewhookOilersC/LW/RW7426386420407444270761729.63%984011.3600013000083159.38%324512001.5200000123
6John CarlsonOilersD7465460281808014021791862.76%135207628.06156162250001123010%02865000.5800000002
7Jordan MartinookOilersLW74213758-29587771775910611.86%45133117.994591016410121063040.08%2424414000.8700010443
8Brandon TanevOilersLW/RW74282856-2155141831855711215.14%38125717.00257141640002304028.89%453626000.8911001225
9Thomas ChabotOilersD7464652293559412117261793.49%145207027.98279112230111120000%02764100.5000100031
10Kevin HayesOilersC/RW7425275219205459174489014.37%2587211.79000191011115357.96%490216101.1900000202
11Kevin StenlundOilersC/RW74212041172205754134285715.67%2399213.42481219155000001354.74%2741125000.8300000020
12Max DomiOilersC/LW/RW74121830-10235572512841839.38%66028.1400000000002061.26%222203001.0000010110
13Erik CernakOilersD742202222220100656229333.23%7294812.8200000000048000%0936000.4600000011
14Philip TomasinoOilersC/LW/RW7371320-900422311242576.25%135958.1600000000001013.33%15164000.6700000000
15Jamie OleksiakOilersD7421618-121556110511255451.79%81146419.800002142000183100%0737100.2500010010
16Ben ChiarotOilersD7431114-126351239110645482.83%80143519.401014142000166000%0937000.2000100000
17Connor MurphyOilersD74210122219574615824293.45%7391212.330000200003100%0320000.2611100001
18Ondrej PalatOilersLW747411-1020623057313512.28%116028.1500000000001141.67%12103000.3600000000
19Matej BlumelCondors (EDM)RW1000-100001000%177.430000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1332337553890195322401512138833551082188910.04%9352204516.553965104219184522422891431954.85%4997526449350.8138332373437
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
1Cam TalbotOilers53301720.8993.9628940019118821016221.00034925342
2Marc-Andre FleuryOilers3115910.8973.88156200101979563411.00032548011
Statistiques d’équipe totales ou en moyenne84452630.8983.93445700292286115796367473353


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
Alex NewhookOilersC/LW/RW252001-01-28CANNo200 Lbs5 ft11NoNoN/ANoYes2FalseFalsePro & Farm2,030,000$422,917$2,030,000$422,917$No2,030,000$--------2,030,000$--------No--------Lien
Ben ChiarotOilersD351991-05-09CANNo224 Lbs6 ft3NoYesN/ANoYes1FalseFalsePro & Farm3,750,000$781,250$3,750,000$781,250$No---------------------------Lien / Lien NHL
Brandon TanevOilersLW/RW341991-12-31CANNo189 Lbs6 ft0NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm3,010,000$627,083$3,010,000$627,083$No3,010,000$--------3,010,000$--------No--------Lien / Lien NHL
Cam TalbotOilersG381987-07-05CANNo200 Lbs6 ft4NoNoAssign ManuallyNoYes32025-11-05FalseFalsePro & Farm4,550,000$947,917$4,550,000$947,917$No4,550,000$4,550,000$-------4,550,000$4,550,000$-------NoNo-------Lien / Lien NHL
Connor MurphyOilersD331993-03-26USANo212 Lbs6 ft4NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm5,500,000$1,145,833$5,500,000$1,145,833$No5,500,000$--------5,500,000$--------No--------Lien / Lien NHL
Erik CernakOilersD281997-05-28SVKNo230 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro & Farm1,754,000$365,417$1,754,000$365,417$No1,754,000$--------750,000$--------No--------Lien / Lien NHL
Jamie OleksiakOilersD331992-12-21CANNo252 Lbs6 ft7NoNoN/ANoYes2FalseFalsePro & Farm2,000,000$416,667$2,000,000$416,667$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Joel Eriksson EkOilersC291997-01-29SWENo207 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm3,212,000$669,167$3,212,000$669,167$No---------------------------Lien / Lien NHL
John CarlsonOilersD361990-01-10USANo220 Lbs6 ft3NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm10,750,000$2,239,583$10,750,000$2,239,583$No10,750,000$--------10,750,000$--------No--------Lien / Lien NHL
Jonathan HuberdeauOilersLW/RW321993-06-04CANNo200 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm7,550,000$1,572,917$7,550,000$1,572,917$No---------------------------Lien / Lien NHL
Jordan MartinookOilersLW331992-07-25CANNo208 Lbs6 ft1NoNoN/ANoYes22025-10-17FalseFalsePro & Farm2,995,000$623,958$2,995,000$623,958$No2,995,000$--------2,995,000$--------No--------Lien / Lien NHL
Kevin HayesOilersC/RW341992-05-08USANo216 Lbs6 ft5NoNoN/ANoYes1FalseFalsePro & Farm3,802,000$792,083$3,802,000$792,083$No---------------------------Lien / Lien NHL
Kevin StenlundOilersC/RW291996-09-20SWENo213 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro & Farm1,139,000$237,292$1,139,000$237,292$No1,139,000$--------750,000$--------No--------Lien / Lien NHL
Marc-Andre FleuryOilersG411984-11-28CANNo185 Lbs6 ft2NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm5,250,000$1,093,750$5,250,000$1,093,750$No5,250,000$--------5,250,000$--------No--------Lien / Lien NHL
Marcus JohanssonOilersLW/RW351990-10-06SWENo203 Lbs6 ft1NoYesN/ANoYes1FalseFalsePro & Farm3,000,000$625,000$3,000,000$625,000$No---------------------------Lien / Lien NHL
Max DomiOilersC/LW/RW311995-03-02CANNo209 Lbs5 ft10YesNoN/ANoYes32025-05-01FalseFalsePro & Farm2,374,000$494,583$2,374,000$494,583$No2,374,000$2,374,000$-------2,374,000$2,374,000$-------YesYes-------Lien / Lien NHL
Ondrej PalatOilersLW351991-03-28CZENo194 Lbs6 ft0NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm3,500,000$729,167$3,500,000$729,167$No3,500,000$--------3,500,000$--------No--------Lien / Lien NHL
Philip TomasinoOilersC/LW/RW242001-07-28CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,620,000$337,500$1,620,000$337,500$No1,620,000$--------985,769$--------No--------Lien
Thomas ChabotOilersD291997-01-30CANNo203 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro & Farm2,350,000$489,583$2,350,000$489,583$No2,350,000$--------906,756$--------No--------Lien / Lien NHL
Wyatt JohnstonOilersC/LW/RW222003-05-14CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,417$208,420$1,000,417$208,420$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2031.80207 Lbs6 ft21.803,556,821$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
71,136,417$48,822,000$6,924,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan HuberdeauWyatt JohnstonMarcus Johansson40023
2Jordan MartinookJoel Eriksson EkBrandon Tanev30023
3Alex NewhookKevin HayesKevin Stenlund20122
4Ondrej PalatMax DomiPhilip Tomasino10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonThomas Chabot40023
2Jamie OleksiakBen Chiarot30032
3Connor MurphyErik Cernak20032
4John CarlsonThomas Chabot10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan HuberdeauKevin StenlundMarcus Johansson60005
2Jordan MartinookJoel Eriksson EkBrandon Tanev40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonThomas Chabot60023
2Jamie OleksiakBen Chiarot40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan MartinookJonathan Huberdeau60032
2Joel Eriksson EkMarcus Johansson40032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonThomas Chabot60041
2Jamie OleksiakBen Chiarot40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Eriksson Ek60050John CarlsonThomas Chabot60050
2Jonathan Huberdeau40050Jamie OleksiakBen Chiarot40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jordan MartinookJonathan Huberdeau60023
2Joel Eriksson EkMarcus Johansson40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonThomas Chabot60032
2Jamie OleksiakBen Chiarot40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan HuberdeauJoel Eriksson EkWyatt JohnstonJohn CarlsonThomas Chabot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookKevin StenlundBrandon TanevConnor MurphyJamie Oleksiak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Hayes, Kevin Stenlund, Jonathan HuberdeauKevin Hayes, Kevin StenlundJonathan Huberdeau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Murphy, Erik Cernak, Jamie OleksiakConnor MurphyErik Cernak, Jamie Oleksiak
Tirs de pénalité
Brandon Tanev, Jonathan Huberdeau, Joel Eriksson Ek, Marcus Johansson, Jordan Martinook
Gardien
#1 : Cam Talbot, #2 : Marc-Andre Fleury
Lignes d’attaque personnalisées en prolongation
Wyatt Johnston, Jonathan Huberdeau, Joel Eriksson Ek, Marcus Johansson, Jordan Martinook, Brandon Tanev, Kevin Hayes, Kevin Stenlund, Alex Newhook, Max Domi
Lignes de défense personnalisées en prolongation
John Carlson, Thomas Chabot, Jamie Oleksiak, Ben Chiarot, Connor Murphy


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
1Avalanche21001000972210010009720000000000041.0009172600332199343327570208366233.33%4175.00%01156205956.14%880163253.92%705128554.86%432541183717
2Blackhawks321000001174110000005142110000066040.66711203100533011448333301152610649111.11%5260.00%01156205956.14%880163253.92%705128554.86%643761275327
3Blue Jackets11000000532110000005320000000000021.000581300014048141123046180242150.00%000%01156205956.14%880163253.92%705128554.86%2012227169
4Blues11000000532000000000001100000053221.00058130012204516209044204163133.33%20100.00%01156205956.14%880163253.92%705128554.86%2113218178
5Bruins321000001314-121100000911-21100000043140.66713203300526013434465401204317481000.00%60100.00%01156205956.14%880163253.92%705128554.86%663760255328
6Canadiens20200000311-81010000025-31010000016-500.0003580021009234263207421840600.00%4175.00%01156205956.14%880163253.92%705128554.86%492936163418
7Canucks4220000017161312000001112-11100000064240.500172542007730191745859015066137518422.22%4175.00%01156205956.14%880163253.92%705128554.86%925579346837
8Capitals22000000725110000003121100000041341.000710170032208329153909430432400.00%20100.00%01156205956.14%880163253.92%705128554.86%372247173417
9Coyotes2110000012931010000046-21100000083520.500122133005340109353440077311538500.00%5340.00%01156205956.14%880163253.92%705128554.86%503234153418
10Devils1010000024-2000000000001010000024-200.00024600110045122013033114186116.67%20100.00%01156205956.14%880163253.92%705128554.86%2112199189
11Ducks431000002112922000000115621100000107360.750212950006780153426744017563228512216.67%11190.91%01156205956.14%880163253.92%705128554.86%814487387136
12Flames5310100024213311010001414022000000107380.8002437610061071229786288122163149510110.00%7185.71%11156205956.14%880163253.92%705128554.86%10965105418443
13Flyers21000100972110000004131000010056-130.750915240024301012537372741827398337.50%6183.33%01156205956.14%880163253.92%705128554.86%482939183417
14Golden Knights7410101038299210010009725310001029227120.85738631010014715232810211710752429026157321031.25%13561.54%01156205956.14%880163253.92%705128554.86%1701011326212565
15Islanders20200000811-31010000034-11010000057-200.0008111900224098313037079258406350.00%4175.00%01156205956.14%880163253.92%705128554.86%432643163316
16Jets10001000651000000000001000100065121.000610160013113715128233130176116.67%000%01156205956.14%880163253.92%705128554.86%2314198189
17Kings532000002119233000000158720200000611-560.600213152104611021984637202155525106900.00%11372.73%01156205956.14%880163253.92%705128554.86%11066101428844
18Lightning21100000990110000007521010000024-220.5009152400315083351830073281241300.00%6266.67%01156205956.14%880163253.92%705128554.86%422541183516
19Maple Leafs22000000844110000004221100000042241.0008162400233094362929056184428112.50%20100.00%01156205956.14%880163253.92%705128554.86%452736173819
20Panthers11000000422000000000001100000042221.0004711003100392211603410224300.00%10100.00%01156205956.14%880163253.92%705128554.86%24141581910
21Penguins211000001091110000005321010000056-120.500101525002260103421942068298437228.57%40100.00%01156205956.14%880163253.92%705128554.86%492834163618
22Predators20100100813-51000010045-11010000048-410.25081422002420100422830068186447114.29%20100.00%01156205956.14%880163253.92%705128554.86%452636173718
23Rangers21100000101001010000034-11100000076120.50010162600046091233830079371043500.00%5260.00%01156205956.14%880163253.92%705128554.86%452740163417
24Red Wings20200000710-31010000045-11010000035-200.0007121900142092312635074171035400.00%50100.00%01156205956.14%880163253.92%705128554.86%452740183316
25Sabres11000000312110000003120000000000021.0003690011104818141604310234000%10100.00%01156205956.14%880163253.92%705128554.86%2214208178
26Senators20100010910-11010000035-21000001065120.5009142310422197303530583251244400.00%6433.33%01156205956.14%880163253.92%705128554.86%442644173517
27Sharks5310010028199210001001165321000001713470.70028528000119802128568581183462210910220.00%11554.55%01156205956.14%880163253.92%705128554.86%1096299459447
28Stars2200000015510110000006241100000093641.00015264100474097344023070276473133.33%3166.67%01156205956.14%880163253.92%705128554.86%422639173717
29Whalers21100000871110000006331010000024-220.50081018103230873431220772112377114.29%6183.33%11156205956.14%880163253.92%705128554.86%422340173718
30Wild20200000916-71010000048-41010000058-300.00091625003240873823260943611394125.00%3233.33%01156205956.14%880163253.92%705128554.86%402244163517
Total743926043203392954437211103200164134303718150112017516114930.628339553892301061061216335511771064109921286493532215122173917.97%1413773.76%21156205956.14%880163253.92%705128554.86%165598114906501317671
_Since Last GM Reset743926043203392954437211103200164134303718150112017516114930.628339553892301061061216335511771064109921286493532215122173917.97%1413773.76%21156205956.14%880163253.92%705128554.86%165598114906501317671
_Vs Conference452513042102241814322125032001038122231380101012110021620.68922436959310727374520207276586241417575741829281342720.15%812569.14%11156205956.14%880163253.92%705128554.86%1005595906396804409
_Vs Division301880211014911633159302100715219159500010786414430.717149237386104846523133246543542871186383122627911920.88%571671.93%11156205956.14%880163253.92%705128554.86%672396606264533274

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7493W533955389233552864935322151230
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7439264320339295
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3721113200164134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3718151120175161
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2173917.97%1413773.76%2
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
117710641099211061061216
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
1156205956.14%880163253.92%705128554.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
165598114906501317671


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
18Avalanche5Oilers6WSommaire du match
225Oilers6Golden Knights7LSommaire du match
339Oilers3Ducks4LSommaire du match
452Kings3Oilers4WSommaire du match
670Flames7Oilers5LSommaire du match
894Oilers6Canucks4WSommaire du match
9104Oilers7Sharks1WSommaire du match
10117Canucks4Oilers7WSommaire du match
12139Oilers7Golden Knights6WSommaire du match
13148Golden Knights3Oilers4WSommaire du match
14165Bruins3Oilers4WSommaire du match
15180Oilers6Golden Knights5WXXSommaire du match
16194Canucks4Oilers2LSommaire du match
17205Oilers3Blackhawks4LSommaire du match
19222Oilers6Golden Knights2WSommaire du match
20231Oilers6Flames4WSommaire du match
21247Sharks4Oilers3LXSommaire du match
22266Kings1Oilers5WSommaire du match
23279Oilers3Kings5LSommaire du match
24292Oilers3Sharks7LSommaire du match
26305Oilers5Penguins6LSommaire du match
27320Ducks3Oilers5WSommaire du match
28340Sharks2Oilers8WSommaire du match
29358Oilers1Canadiens6LSommaire du match
31372Whalers3Oilers6WSommaire du match
32383Oilers5Blues3WSommaire du match
33397Coyotes6Oilers4LSommaire du match
34413Oilers8Coyotes3WSommaire du match
36428Canadiens5Oilers2LSommaire du match
37447Oilers4Maple Leafs2WSommaire du match
38461Oilers5Flyers6LXSommaire du match
39468Sabres1Oilers3WSommaire du match
40489Kings4Oilers6WSommaire du match
41506Oilers4Golden Knights2WSommaire du match
42519Capitals1Oilers3WSommaire du match
44534Oilers5Islanders7LSommaire du match
45548Oilers2Lightning4LSommaire du match
46563Flyers1Oilers4WSommaire du match
48582Stars2Oilers6WSommaire du match
49592Oilers4Predators8LSommaire du match
50610Predators5Oilers4LXSommaire du match
51621Oilers9Stars3WSommaire du match
53638Oilers3Blackhawks2WSommaire du match
54648Blue Jackets3Oilers5WSommaire du match
56670Oilers4Panthers2WSommaire du match
57678Flames4Oilers5WXSommaire du match
58693Oilers3Kings6LSommaire du match
59711Red Wings5Oilers4LSommaire du match
61731Oilers7Sharks5WSommaire du match
62742Flames3Oilers4WSommaire du match
63756Oilers2Whalers4LSommaire du match
64774Canucks4Oilers2LSommaire du match
66797Senators5Oilers3LSommaire du match
67805Oilers6Senators5WXXSommaire du match
69825Oilers5Wild8LSommaire du match
70837Lightning5Oilers7WSommaire du match
72859Rangers4Oilers3LSommaire du match
73874Oilers6Jets5WXSommaire du match
74889Ducks2Oilers6WSommaire du match
76904Oilers4Flames3WSommaire du match
77920Oilers2Devils4LSommaire du match
78929Islanders4Oilers3LSommaire du match
80952Bruins8Oilers5LSommaire du match
81969Oilers3Red Wings5LSommaire du match
82982Avalanche2Oilers3WXSommaire du match
83992Oilers4Capitals1WSommaire du match
841004Oilers7Rangers6WSommaire du match
861018Maple Leafs2Oilers4WSommaire du match
881046Wild8Oilers4LSommaire du match
891054Oilers7Ducks3WSommaire du match
911076Blackhawks1Oilers5WSommaire du match
921094Oilers4Bruins3WSommaire du match
941107Penguins3Oilers5WSommaire du match
951130Golden Knights4Oilers5WXSommaire du match
961138Oilers-Avalanche-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981163Oilers-Canucks-
991171Avalanche-Oilers-
1011193Panthers-Oilers-
1031208Oilers-Ducks-
1051229Devils-Oilers-
1061241Oilers-Blue Jackets-
1071253Oilers-Canucks-
1091270Jets-Oilers-
1121294Oilers-Sabres-
1131299Blues-Oilers-
1161319Golden Knights-Oilers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité70006000350040001500
Prix des billets85604020120
Assistance219,968185,06690,650143,17640,436
Attendance PCT84.93%83.36%70.00%96.74%72.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 18359 - 83.45% 1,656,843$61,303,188$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
59,565,425$ 74,136,417$ 74,136,417$ 1,100,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
617,803$ 58,694,560$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
9,941,058$ 25 626,970$ 15,674,250$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
16,659,281$ 133,421,315$ 127,215,048$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,139,635$ 360,365$ 74,500,000$ 15,639,635$



Charte de profondeur

Ailier gaucheCentreAilier droit
Wyatt JohnstonAGE:22PO:79OV:78
Jonathan HuberdeauAGE:32PO:78OV:78
Marcus JohanssonAGE:35PO:69OV:73
Jordan MartinookAGE:33PO:71OV:72
Luke KuninAGE:28PO:68OV:70
Brandon TanevAGE:34PO:68OV:70
Alex NewhookAGE:25PO:68OV:70
Max DomiAGE:31PO:64OV:69
Joel FarabeeAGE:26PO:66OV:68
Ondrej PalatAGE:35PO:68OV:67
Philip TomasinoAGE:24PO:66OV:66
Gabriel Landeskog (R)AGE:33PO:64OV:61
Carter Mazur (R)AGE:24PO:63OV:59
Carson MeyerAGE:28PO:60OV:59
Brett SeneyAGE:30PO:58OV:59
Anders BjorkAGE:29PO:58OV:55
Brendan LemieuxAGE:30PO:52OV:50
Wyatt JohnstonAGE:22PO:79OV:78
Joel Eriksson EkAGE:29PO:78OV:77
Kevin StenlundAGE:29PO:69OV:70
Luke KuninAGE:28PO:68OV:70
Alex NewhookAGE:25PO:68OV:70
Kevin HayesAGE:34PO:67OV:70
Max DomiAGE:31PO:64OV:69
Kailer YamamotoAGE:27PO:66OV:66
Philip TomasinoAGE:24PO:66OV:66
Callahan BurkeAGE:29PO:58OV:60
Otto Stenberg (R)AGE:20PO:57OV:58
Nathan Villeneuve (R)AGE:20PO:50OV:51
Wyatt JohnstonAGE:22PO:79OV:78
Jonathan HuberdeauAGE:32PO:78OV:78
Marcus JohanssonAGE:35PO:69OV:73
Kevin StenlundAGE:29PO:69OV:70
Luke KuninAGE:28PO:68OV:70
Brandon TanevAGE:34PO:68OV:70
Alex NewhookAGE:25PO:68OV:70
Kevin HayesAGE:34PO:67OV:70
Max DomiAGE:31PO:64OV:69
Matej Blumel (R)AGE:25PO:68OV:67
Kailer YamamotoAGE:27PO:66OV:66
Philip TomasinoAGE:24PO:66OV:66
Carson MeyerAGE:28PO:60OV:59
Anders BjorkAGE:29PO:58OV:55
Miko Matikka (R)AGE:22PO:51OV:51

Défense #1Défense #2Gardien
John CarlsonAGE:36PO:66OV:80
Thomas ChabotAGE:29PO:66OV:76
Erik CernakAGE:28PO:63OV:75
Jamie OleksiakAGE:33PO:62OV:75
Connor MurphyAGE:33PO:62OV:74
Ben ChiarotAGE:35PO:61OV:74
Alexander RomanovAGE:26PO:63OV:73
Logan StanleyAGE:27PO:59OV:69
Sam MalinskiAGE:27PO:60OV:67
Jack St. Ivany (R)AGE:26PO:59OV:67
Nolan Allan (R)AGE:23PO:59OV:65
Dennis GilbertAGE:29PO:56OV:63
Yan KuznetsovAGE:24PO:53OV:62
Jeremy DaviesAGE:29PO:58OV:61
Jake Furlong (R)AGE:22PO:50OV:58
Dakota MermisAGE:32PO:51OV:57
Connor Corcoran (R)AGE:25PO:52OV:55
Cam TalbotAGE:38PO:70OV:73
Matt MurrayAGE:31PO:66OV:73
Casey DeSmithAGE:34PO:74OV:70
Marc-Andre FleuryAGE:41PO:65OV:68
Eric ComrieAGE:30PO:71OV:67
Frederik AndersenAGE:36PO:63OV:66
Jonathan QuickAGE:40PO:62OV:65
Charlie LindgrenAGE:32PO:65OV:64
Hunter ShepardAGE:30PO:52OV:53

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alexei MedvedevOilers202540
Andrew MacNielOilers2025195
Anton SilayevOilers202412
Arttu KarkiOilers2023121
Bryce MisleyOilers2017124Lien
C.J. YakimowiczOilers2014173
Cole FonstadOilers2018135Lien
Cole MobergOilers2019204Lien
Denis GurianovOilers00Lien
Dillon HamaliukOilers201963
Evgenii KashnikovOilers2021203
Gabriel D'AigleOilers2025102
Gustav OlhaverOilers2015192
Harrison BlaisdellOilers2019142
Harry NansiOilers2025164
Hudson ElynuikOilers00Lien
Hugo GabrielssonOilers2021172
Jakub GalvasOilers2017155Lien
Jimmy LombardiOilers2025133
Joey MuldowneyOilers2022186
John DraegerOilers201272
Justin KapelmasterOilers00Lien
Ludvig LaftonOilers2024198
Markus NutivaaraOilers00Lien
Maximilian KammererOilers00
Mikhail YegorovOilers202448
Niilopekka MuhonenOilers2024167
Nikita NesterovOilers00
Nikita OkhotiukOilers00Lien
Noah CarrollOilers2016167
Olof LindbomOilers201858
Radim MrtkaOilers20259
Ryan CollinsOilers00Lien
Ryan MacPhersonOilers2023183
Tanner MacMasterOilers00Lien
Teemu HartikainenOilers00
Timur IbragimovOilers2019173Lien
Tinus-Luc KoblarOilers202571
Toni RajalaOilers00
Tyler BrennanOilers202262
Tyler NanneOilers2014143
Vladimir NikitinOilers2023214
William ReillyOilers2017217

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



test news

Par Alec McMillan (Oilers) Le Saturday 5th October 2024 / 2:34am

Testing news...

Nouveau commentaire

Proposal for New Draft Rankings to Follow NHL for 2024

Par Gabriel Whiddon (Whalers) Le Monday 19th June 2023 / 9:55pm

Recently the Commish said the the current SIM allows him to use the bottom 5 teams for the draft lottery allowing those to move up a max of 5 spots. The current NHL uses a weighted system for all non-playoff teams where each of the 16 teams that miss the playoffs will have a chance to win with the teams earning significantly better odds at winning a high pick if they are lower in the standings. It’s also worth mentioning that a lottery win doesn’t guarantee one of the top-two picks in this year’s draft as teams can only jump a maximum of 10 spots, meaning that only the top 11 teams have a chance of landing the first overall pick. If a team ranked 12-16 ends up winning the lottery (unlikely but definitely possible) they could only jump up 10 spots to the sixth position, dropping every team below that spot by 1 spot. There is also a redraw for the second overall pick with the same rules applying of a team jumping a max of 10 spots.

I took this years Dechl final standings and assigned a team from the real NHL that finished in the exact same position from the real NHL standings and then used a site called Tankathon (https://www.tankathon.com/nhl) to redraw the teams for our draft. See chart below.

    2023 DECHL STANDINGS
(REV ORDER)
2023 NHL STANDINGS
(REV ORDER)
  2023 DECHL DRAFT ORDER
(Tankathon.com Mock Results)
DECHL TEAM - (NHL TEAM)
1   Philadelphia Flyers Anaheim Ducks   Columbus Blue Jackets - (MON) ↑4
2   Pittsburgh Penguins Columbus Blue Jackets   Vancouver Canucks - (CHI) ↑2
3   Vancouver Canucks Chicago Blackhawks   Philadelphia Flyers - (ANA) ↓2
4   Winnipeg Jets San Jose Sharks   Pittsburgh Penguins - (CBJ) ↓2
5   Columbus Blue Jackets Montreal Canadiens   Winnipeg Jets (SJS) - ↓1
6   Arizona Coyotes Arizona Coyotes   Arizona Coyotes
7   Montreal Canadiens Philadelphia Flyers   Montreal Canadiens
8   Las Vegas Golden Knights Washington Capitals   Las Vegas Golden Knights
9   Nashville Predators Detroit Red Wings   Nashville Predators
10   Chicago Blackhawks St. Louis Blues   Chicago Blackhawks
11   Tampa Bay Lightning Vancouver Canucks   Tampa Bay Lightning
12   Detroit Red Wings Ottawa Senators   Detroit Red Wings
13   Boston Bruins Buffalo Sabres   Boston Bruins
14   Minnesota Wild Pittsburgh Penguins   Minnesota Wild
15   Florida Panthers Nashville Preditors   Florida Panthers
16     Calgary Flames    

In this case I ran the Tankathon simulator only once and came up with these results. If we had used this system for the Bedard sweepstakes this year. The Columbus Blue Jackets would have won the lottery this year jumping 2 spots. In the redraw for the second overall pick the Vancouver Canucks would have scored with a 2 spot jump as well. I look forward to your thoughts.

Gabe Whiddon - Hartford Whalers

Voir commentaires (3)
Alec McMillan (Oilers) Le 21st June / 12:20am :

I do not mind changing the setting for future.... if someone wants to put a poll up on the forums server maybe?  Looks like sim now support multiple lottery winners (up to 3) and 16 teams so we can implement this.

Mark Budey (Capitals) Le 21st June / 1:33pm :

I like this idea 

Jesse OReilly (Blues) Le 24th June / 1:43am :

I like this!!

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Oiler organization petitioning league for early ending to season!

Par Alec McMillan (Oilers) Le Tuesday 9th November 2021 / 3:35pm

Edmonton (AP) - Rumours are swirling that the Edmonton Oiler board of directors is pressuring the league to call an early end to the season.  The Oilers and their farm team the Condors are combining for the best start to the season the organization has seen.  The red hot Oilers are off to a league leading 10-1-1 to be almost matched 10-2 start by the Condors.

"We are the best, everyone knows it, just give us the titles now!" an unnamed player was quoted as saying after the teams last win.  Parade plans are already underway.

Yes we are now prepared for a 20 game slide by both teams after posting this and putting us back in our place of fighting for a wildcard spot! :)

Nouveau commentaire

Yet another new website!

Par Alec McMillan (Oilers) Le Wednesday 11th August 2021 / 7:57pm

Last website I bought was a pain in the ass to deal with and to update.  This one is VERY similar and comes with the sim, so I'm already paying for it yearly.  Working on functionality and getting team logos to show up.....but I think I may be sticking with this one with portal being secondary but will see.  At least all the data is here as far as I can tell so far!

Voir commentaires (4)
Ryan Dyck (Lightning) Le 11th August / 8:20pm :

Looks pretty good so far!

Trevor Robb (Islanders) Le 11th August / 10:18pm :

Hey this one allows comments and you can login!

Trev

Quentin Robb (Jets) Le 11th August / 11:43pm :

loving this so far

Roger Storoschuk (Ducks) Le 19th August / 2:12pm :

Alec what is this costing you?

Nouveau commentaire



Oilers Historique de transactions

[2/12/2026 10:12:55 PM] New Record for Team's Most Shots (58) in 1 Game for Oilers!



Jack St. Ivany est dehors pour 2 jours à cause de Bruised Right Foot Injury.



Oilers 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

Oilers 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

Oilers 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

Oilers 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

Oilers 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