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

Oilers
GP: 82 | W: 33 | L: 38 | OTL: 11 | P: 77
GF: 252 | GA: 273 | PP%: 20.76% | PK%: 83.20%
DG: Alain Bard | Morale : 27 | Moyenne d’équipe : 67

Centre de jeu
Avalanche
42-33-7, 91pts
3
2 Oilers
33-38-11, 77pts
Team Stats
W3SéquenceL1
23-15-3Fiche domicile16-19-6
19-18-4Fiche domicile17-19-5
6-4-0Derniers 10 matchs1-7-2
3.34Buts par match 3.07
3.05Buts contre par match 3.33
17.11%Pourcentage en avantage numérique20.76%
80.41%Pourcentage en désavantage numérique83.20%
Oilers
33-38-11, 77pts
3
5 Blackhawks
45-30-7, 97pts
Team Stats
L1SéquenceW5
16-19-6Fiche domicile23-14-4
17-19-5Fiche domicile22-16-3
1-7-2Derniers 10 matchs7-2-1
3.07Buts par match 3.23
3.33Buts contre par match 2.79
20.76%Pourcentage en avantage numérique23.00%
83.20%Pourcentage en désavantage numérique82.02%
Meneurs d'équipe
Buts
Ryan McLeod
32
Passes
Ryan McLeod
52
Points
Ryan McLeod
84
Plus/Moins
Nils Höglander
8
Victoires
Lukas Dostal
24
Pourcentage d’arrêts
Lukas Dostal
0.893

Statistiques d’équipe
Buts pour
252
3.07 GFG
Tirs pour
2588
31.56 Avg
Pourcentage en avantage numérique
20.8%
49 GF
Début de zone offensive
38.6%
Buts contre
273
3.33 GAA
Tirs contre
2507
30.57 Avg
Pourcentage en désavantage numérique
83.2%%
41 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralAlain Bard
EntraîneurDarryl Sutter
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,537
Billets de saison2,100


Informations de la formation

Équipe Pro37
Équipe Mineure20
Limite Contrat57 / 68
Espoirs29


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
1Ryan McLeod (R)X100.0066409289808885857981808225867159397702621,500,000$
2Dylan Holloway (R)X100.008140948887878089628283752587614922772241925,000$
3Jack McBain (R)X100.008784647588848390688684802587684041771261925,000$
4Trent Frederic (R)X100.0082716973868485856378798025887957347502832,000,000$
5Kiefer Sherwood (R)X100.0097557583778687855077797525837967377503133,000,000$
6Nils Höglander (R)X100.0076408079758385784085877025857159267402521,500,000$
7Alex Laferriere (R)X100.007640908486867886507679722584594943742242875,000$
8Brendan Lemieux (R)X100.008883487179768169507771682577845641690301900,000$
9Danny O'Regan (R)X100.006455996970687576806865666476676039660323600,000$
10Maxim Mamin (R)X100.00289996974437769607066705179643733630313575,000$
11Brennan Othmann (R)X100.007140837682816865406159632568594929632232863,334$
12Thomas Bordeleau (R)X100.005135837571716768636465592571584820621241916,667$
13Dylan Samberg (R)X100.0070408184889081784074719325786654287702733,000,000$
14Janis Moser (R)X100.007660698971918485409186772589674443772251886,667$
15Oliver Kylington (R)X100.006044807471827772407369722574856630690282900,000$
16Tyler Wotherspoon (R)X100.00418996178526778256749815496914413660331700,000$
17Scott Perunovich (R)X100.005840817673857369406765692570655515662272775,000$
18Kevin Gravel (R)X100.006442706469727172406563702574816532650343600,000$
Rayé
1James Hamblin (R)X100.006142797370716666676160632569594719622271807,500$
2Rhett Gardner (R)X100.005845996275656858826360602583795117610301575,000$
3Brett Murray (R)X100.006942706573686665446264672565545019610272575,000$
4Josh Currie (R)X100.006322876772596058725853715185701920600331575,000$
5Will Bitten (R)X100.005840677168636465436262602573594320602271762,500$
6Noah Philp (R)X100.006442706565686664626060632563545019600273775,000$
7Angus Crookshank (R)X100.005743676861676565446162582567535019592262838,333$
8Brad Lambert (R)X100.006042676768575562436058562564514920572222918,333$
9Dustin Jeffrey (R)X100.005643996275447045924434755691912520560383575,000$
10Victor Mete (R)X100.004127897470787168406966792572806020670272800,000$
11Matt Kiersted (R)X100.006644667570746558406360682577684420640283575,000$
12Paul Postma (R)X100.00174996976536664236350736099991219630373575,000$
13Kevin Korchinski (R)X100.005939847172757066406161612574584519622212918,333$
14Alex GrantX100.004853976578527852406151665077771220610372575,000$
15Kevin Czuczman (R)X100.004627996475707250305148604893852019600352575,000$
16Donovan Sebrango (R)X100.006052586865646262405760652563515019590243828,333$
MOYENNE D’ÉQUIPE100.00624281737572737051686570327870472666
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
1Christopher Gibson (R)100.007789888082989999997776949941578803312,000,000$
2Lukas Dostal (R)100.008889917892958994949050876657568602532,500,000$
Rayé
1Georgi Romanov (R)100.00706262666671737072664057535020660263910,000$
MOYENNE D’ÉQUIPE100.0078808075808887888878557973494480
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter8682877898931CAN6621,000,000$


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
1Ryan McLeodOilers (EDM)RW82325284-265511915031310318710.22%36174321.26920294021000042213555.38%3729839000.9605010840
2Jack McBainOilers (EDM)C82294170-28186901971822658115210.94%38167320.411013233420600051888252.32%20015229000.8405567143
3Dylan HollowayOilers (EDM)C76264167-21010110175271801379.59%35147419.412681915110161211247.79%14486124000.9115110524
4Trent FredericOilers (EDM)LW82253257-2313260171123167539314.97%26148918.167916291980114301047.37%953225000.7712228242
5Kiefer SherwoodOilers (EDM)RW782231530101551601152045811510.78%24145118.6127981520005734144.57%924226000.7303344171
6Janis MoserOilers (EDM)D6874148-201364011013914667544.79%77157823.2161016281990004164000%06342000.6100332003
7Nils HöglanderOilers (EDM)LW73242347818013685164398914.63%23127617.4844812149000110237.66%773614020.7400000423
8Alex LaferriereOilers (EDM)RW8226184452099862228115711.71%22107613.13011425000003042.86%915424000.8200000434
9Brendan LemieuxOilers (EDM)LW82142236-21045018075120396511.67%20109313.340110230001644034.88%432223000.6600442311
10Dylan SambergOilers (EDM)D8252631-2221511715212948433.88%110195123.794913252350223238100%02266000.3200010010
11Danny O'ReganOilers (EDM)C8271421655661339032547.78%24110413.460000101012921054.76%7981214000.3811100110
12Oliver KylingtonOilers (EDM)D8131619-14010105968636283.49%89175221.6420281490000157100%02453000.2200020010
13Maxim MaminOilers (EDM)LW8291019-60035210433558.65%146537.9700001000022050.00%82114000.5801000002
14Thomas BordeleauOilers (EDM)C8271118-109534518716478.05%126237.6100000000061047.16%2291510000.5800010011
15Victor MeteOilers (EDM)D566814-340188657211810.53%67118021.08213492000299100%0733000.2400000100
16Kevin GravelOilers (EDM)D8221113-2621068744628164.35%71130515.92011115000025000%01341000.2000101000
17Matt KierstedOilers (EDM)D60099345157173291370%5093215.5400004000032000%0631000.1900021000
18Tyler WotherspoonOilers (EDM)D22077-30033319660%1946621.22000033000143000%0113000.3000000000
19Brennan OthmannOilers (EDM)RW82325-106077393818297.89%76337.7200003000051110.53%19714000.1600000011
20James HamblinOilers (EDM)C63144002461250.00%2427.1400000000000050.00%1613001.8700000001
21Scott PerunovichOilers (EDM)D23044020213115740%2243118.74000020000025000%0416000.1900000000
22Brett MurrayOilers (EDM)RW4022500520200%0287.040000000000000%001001.4200000000
23Kevin KorchinskiOilers (EDM)D1802202012157330%1328515.8700000000016000%028000.1400000000
24Jake WalmanOilersD1101-2001020050.00%12525.051011500003000%001000.8000000000
25Rhett GardnerOilers (EDM)LW9000000643120%3657.320000000000000%00000000000000
26Will BittenOilers (EDM)RW1000000101000%066.700000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1478251424675-12989036018921975259186613639.69%8052434716.4749821312131890235381615321350.54%5289595564020.55322202725303226
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
1Lukas DostalOilers (EDM)66242690.8933.233644601961837719010.647176121522
2Christopher GibsonOilers (EDM)2791220.8923.2913122072669259501.00052161212
Statistiques d’équipe totales ou en moyenne933338110.8933.24495780268250697851228282734


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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 GrantOilers (EDM)D371989-01-20CANNo210 Lbs6 ft4NoNoTrade2025-03-15NoNo22024-10-06FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Alex LaferriereOilers (EDM)RW242001-10-28USAYes205 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm875,000$4,464$0$0$No875,000$--------875,000$--------No--------
Angus CrookshankOilers (EDM)LW261999-10-02CANYes181 Lbs5 ft11NoNoTrade2024-12-22NoNo22024-08-25FalseFalsePro & Farm838,333$4,277$0$0$No838,333$--------838,333$--------No--------
Brad LambertOilers (EDM)C222003-12-19FINYes181 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm918,333$4,685$0$0$No918,333$--------918,333$--------No--------
Brendan LemieuxOilers (EDM)LW301996-03-15USAYes215 Lbs6 ft1NoNoN/ANoNo12024-09-15FalseFalsePro & Farm900,000$4,592$0$0$No---------------------------
Brennan OthmannOilers (EDM)RW232003-01-05CANYes192 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm863,334$4,405$0$0$No863,334$--------863,334$--------No--------
Brett MurrayOilers (EDM)RW271998-07-20CANYes227 Lbs6 ft5NoNoTrade2024-12-22NoNo22024-09-08FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Christopher GibsonOilers (EDM)G331992-12-27FINYes216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Danny O'ReganOilers (EDM)C321994-01-30DEUYes180 Lbs5 ft10NoNoFree AgentNoNo32025-09-19FalseFalsePro & Farm600,000$3,061$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Donovan SebrangoOilers (EDM)D242002-01-12CANYes194 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm828,333$4,226$0$0$No828,333$828,333$-------828,333$828,333$-------NoNo-------
Dustin JeffreyOilers (EDM)C381988-02-27CANYes207 Lbs6 ft1NoNoFree Agent2024-03-30NoNo32025-09-21FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Dylan HollowayOilers (EDM)C242001-09-23CANYes206 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Dylan SambergOilers (EDM)D271999-01-24USAYes216 Lbs6 ft4NoNoN/ANoNo32025-08-25FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Georgi RomanovOilers (EDM)G261999-12-15RUSYes196 Lbs6 ft5NoNoAssign ManuallyNoNo32025-10-01FalseFalsePro & Farm910,000$4,643$0$0$No910,000$910,000$-------910,000$910,000$-------NoNo-------
Jack McBainOilers (EDM)C262000-01-06CANYes219 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
James HamblinOilers (EDM)C271999-04-27CANYes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm807,500$4,120$0$0$No---------------------------
Janis MoserOilers (EDM)D252000-06-06CHEYes173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm886,667$4,524$0$0$No---------------------------
Josh CurrieOilers (EDM)C331992-10-29CANYes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Kevin CzuczmanOilers (EDM)D351991-01-09CANYes205 Lbs6 ft2NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Kevin GravelOilers (EDM)D341992-03-06USAYes205 Lbs6 ft4NoNoFree AgentNoNo32025-09-14FalseFalsePro & Farm600,000$3,061$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Kevin KorchinskiOilers (EDM)D212004-06-21CANYes192 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm918,333$4,685$0$0$No918,333$--------918,333$--------No--------
Kiefer SherwoodOilers (EDM)RW311995-03-31USAYes194 Lbs6 ft0NoNoN/ANoNo32025-08-25FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Lukas DostalOilers (EDM)G252000-06-22CZEYes190 Lbs6 ft2NoNoN/ANoNo32025-08-25FalseFalsePro & Farm2,500,000$12,755$0$0$No2,500,000$2,500,000$-------575,000$575,000$-------NoNo-------
Matt KierstedOilers (EDM)D281998-04-14USAYes181 Lbs6 ft0NoNoN/ANoNo32025-08-25FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Maxim MaminOilers (EDM)LW311995-01-13RUSYes191 Lbs6 ft2NoNoN/ANoNo32025-08-25FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Nils HöglanderOilers (EDM)LW252000-12-20SWEYes185 Lbs5 ft9NoNoTrade2024-10-05NoNo22024-09-17FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Noah PhilpOilers (EDM)C271998-08-31CANYes198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm775,000$3,954$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Oliver KylingtonOilers (EDM)D281997-05-19SWEYes183 Lbs6 ft0NoNoTrade2025-10-19NoNo22025-08-09FalseFalsePro & Farm900,000$4,592$0$0$No900,000$--------900,000$--------No--------
Paul PostmaOilers (EDM)D371989-02-22CANYes195 Lbs6 ft3NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Rhett GardnerOilers (EDM)LW301996-02-28CANYes225 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Ryan McLeodOilers (EDM)RW261999-09-21CANYes188 Lbs6 ft3NoNoN/ANoNo22024-09-15FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Scott PerunovichOilers (EDM)D271998-08-18USAYes175 Lbs5 ft10NoNoTrade2026-03-21NoNo22024-08-17FalseFalsePro & Farm775,000$3,954$0$0$No775,000$--------775,000$--------No--------
Thomas BordeleauOilers (EDM)C242002-01-03USAYes175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm916,667$4,677$0$0$No---------------------------
Trent FredericOilers (EDM)LW281998-02-11USAYes221 Lbs6 ft3NoNoN/ANoNo32025-08-25FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Tyler WotherspoonOilers (EDM)D331993-03-12CANYes217 Lbs6 ft2NoNoTrade2026-03-21NoNo1FalseFalsePro & Farm700,000$3,571$0$0$No---------------------------
Victor MeteOilers (EDM)D271998-06-07CANYes183 Lbs5 ft9NoNoN/ANoNo22024-09-15FalseFalsePro & Farm800,000$4,082$0$0$No800,000$-----------------No--------
Will BittenOilers (EDM)RW271998-07-10CANYes174 Lbs5 ft11NoNoTrade2026-03-21NoNo1FalseFalsePro & Farm762,500$3,890$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3728.32196 Lbs6 ft12.051,029,730$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericJack McBainRyan McLeod35122
2Nils HöglanderDylan HollowayKiefer Sherwood35122
3Brendan LemieuxDanny O'ReganAlex Laferriere25122
4Maxim MaminThomas BordeleauBrennan Othmann5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Janis MoserDylan Samberg35122
2Oliver KylingtonTyler Wotherspoon35122
3Scott PerunovichKevin Gravel30122
4Janis MoserDylan Samberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericJack McBainRyan McLeod60122
2Nils HöglanderDylan HollowayKiefer Sherwood40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Janis MoserDylan Samberg60122
2Oliver KylingtonTyler Wotherspoon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeodJack McBain60122
2Dylan HollowayKiefer Sherwood40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Janis MoserDylan Samberg60122
2Oliver KylingtonTyler Wotherspoon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan McLeod60122Janis MoserDylan Samberg60122
2Jack McBain40122Oliver KylingtonTyler Wotherspoon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeodJack McBain60122
2Dylan HollowayKiefer Sherwood40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Janis MoserDylan Samberg60122
2Oliver KylingtonTyler Wotherspoon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericJack McBainRyan McLeodJanis MoserDylan Samberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericJack McBainRyan McLeodJanis MoserDylan Samberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Laferriere, Brendan Lemieux, Danny O'ReganAlex Laferriere, Brendan LemieuxDanny O'Regan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Perunovich, Kevin Gravel, Oliver KylingtonScott PerunovichKevin Gravel, Oliver Kylington
Tirs de pénalité
Ryan McLeod, Jack McBain, Dylan Holloway, Kiefer Sherwood, Trent Frederic
Gardien
#1 : Christopher Gibson, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Ryan McLeod, Jack McBain, Dylan Holloway, Kiefer Sherwood, Trent Frederic, Nils Höglander, Alex Laferriere, Brendan Lemieux, Danny O'Regan, Maxim Mamin
Lignes de défense personnalisées en prolongation
Janis Moser, Dylan Samberg, Oliver Kylington, Tyler Wotherspoon, Scott Perunovich


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
TotalDomicile Visiteur
# 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 RI
1Avalanche40200200918-92010010058-320100100410-620.250915240079779081188138179314914750299613323.08%12466.67%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R2
2Blackhawks40300001917-82020000049-52010000158-310.125915240079779081268138179314910931408312325.00%10190.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
3Blues412000011215-3211000007612010000159-430.3751219310079779081278138179314911735481009111.11%9277.78%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R2
4Bruins2020000059-41010000036-31010000023-100.00059140079779086381381793149691912456116.67%110.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
5Canadiens210000016511000000123-11100000042230.75061016007977908588138179314965208483133.33%40100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
6Canucks633000002122-1312000001014-432100000118360.500213455007977908180813817931491804114012529827.59%35780.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R5
7Capitals21001000642100010003211100000032141.00061117007977908628138179314973241246200.00%6183.33%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
8Devils200011005501000010023-11000100032130.75057120079779084881381793149462320386233.33%50100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
9Ducks612003001718-13010020069-331100100119250.41717324900797790819481381793149166639116034617.65%18383.33%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R5
10Flames62300010191813020001058-3321000001410460.50019315000797790819581381793149182547914221628.57%27485.19%21053201952.15%1005199050.50%615121850.49%1802107617617291404693R5
11Flyers31101000141222100100010731010000045-140.667142236007977908113813817931499640885300.00%40100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
12Islanders3120000012120211000008711010000045-120.33312233500797790810081381793149873126654125.00%30100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
13Kings633000002018232100000158731200000510-560.500203151007977908177813817931491724911514817423.53%30583.33%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R5
14Maple Leafs31200000911-2110000004312020000058-320.33391625007977908106813817931491013018644125.00%40100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
15Penguins312000009901010000023-12110000076120.33391423007977908105813817931498043870400.00%40100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
16Predators42200000141042020000037-422000000113840.500142741007977908121813817931491353660916233.33%15193.33%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R2
17Rangers22000000743110000005321100000021141.000710170079779086481381793149552421403133.33%30100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
18Red Wings21000001440110000003211000000112-130.750481200797790854813817931497220037300.00%000%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
19Sabres2020000038-51010000024-21010000014-300.00036910797790875813817931495713832400.00%40100.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
20Senateurs2010100056-11010000035-21000100021120.5005914007977908678138179314967241049200.00%5180.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
21Sharks632001001820-2311001001013-33210000087170.58318335100797790817981381793149182618615123313.04%23769.57%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R5
22Stars4310000014122220000007522110000077060.7501421350079779081238138179314910936398314535.71%12283.33%01053201952.15%1005199050.50%615121850.49%1802107617617291404693
23Wild403010001416-2201010007702020000079-220.250142135007977908133813817931491403620931417.14%10280.00%01053201952.15%1005199050.50%615121850.49%1802107617617291404693R2
Total82273805714252273-2141121903511126142-1641151902203126131-5770.470252424676107977908258881381793149250780389818912364920.76%2444183.20%21053201952.15%1005199050.50%615121850.49%1802107617617291404693
_Since Last GM Reset82273805714252273-2141121903511126142-1641151902203126131-5770.470252424676107977908258881381793149250780389818912364920.76%2444183.20%21053201952.15%1005199050.50%615121850.49%1802107617617291404693
_Vs Conference54182601612167184-1727714014107994-15271112002028890-2480.444167279446007977908167381381793149163949274712721924221.88%2013881.09%21053201952.15%1005199050.50%615121850.49%1802107617617291404693
_Vs Division301213004109596-11547003104652-615860010049445300.50095161256007977908925813817931498822685117261242721.77%1332680.45%21053201952.15%1005199050.50%615121850.49%1802107617617291404693

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8277L125242467625882507803898189110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227385714252273
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112193511126142
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115192203126131
Derniers 10 matchs
WLOTWOTL SOWSOL
170101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2364920.76%2444183.20%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
813817931497977908
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
1053201952.15%1005199050.50%615121850.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1802107617617291404693


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
11Ducks3Oilers2LR5Sommaire du match
415Oilers7Flames3WR5Sommaire du match
835Sharks3Oilers4WR5Sommaire du match
1152Kings4Oilers3LSommaire du match
1469Oilers1Kings2LR5Sommaire du match
1677Flames5Oilers2LSommaire du match
1782Oilers2Ducks3LXR5Sommaire du match
2097Canucks1Oilers4WR5Sommaire du match
22106Oilers5Canucks1WSommaire du match
25122Kings1Oilers7WR5Sommaire du match
27133Oilers7Predators2WSommaire du match
30142Oilers3Sharks2WR5Sommaire du match
31153Stars2Oilers3WSommaire du match
34168Oilers2Kings1WR5Sommaire du match
36179Ducks3Oilers2LXSommaire du match
40195Oilers3Avalanche4LXR2Sommaire du match
41203Capitals2Oilers3WXSommaire du match
45221Predators4Oilers2LR2Sommaire du match
47235Oilers3Capitals2WSommaire du match
49244Blues2Oilers5WR2Sommaire du match
52257Oilers4Canucks3WR5Sommaire du match
54268Sabres4Oilers2LSommaire du match
56275Oilers1Sabres4LSommaire du match
59290Oilers1Red Wings2LXXSommaire du match
60300Rangers3Oilers5WSommaire du match
63312Oilers3Devils2WXSommaire du match
64323Stars3Oilers4WR2Sommaire du match
66339Ducks3Oilers2LXR5Sommaire du match
68350Oilers2Sharks1WR5Sommaire du match
70355Oilers4Islanders5LSommaire du match
72367Canucks8Oilers3LR5Sommaire du match
75379Oilers3Flames6LR5Sommaire du match
77391Oilers2Rangers1WSommaire du match
79396Oilers3Sharks4LR5Sommaire du match
80404Kings3Oilers5WSommaire du match
83420Wild5Oilers4LR2Sommaire du match
85430Oilers2Senateurs1WXSommaire du match
88446Canadiens3Oilers2LXXSommaire du match
90456Oilers4Canadiens2WSommaire du match
92463Oilers6Ducks1WR5Sommaire du match
95472Penguins3Oilers2LSommaire du match
99494Red Wings2Oilers3WSommaire du match
103513Blackhawks4Oilers3LR2Sommaire du match
104526Oilers2Kings7LR5Sommaire du match
106537Blackhawks5Oilers1LSommaire du match
110558Oilers4Penguins2WSommaire du match
111564Blues4Oilers2LR2Sommaire du match
113581Bruins6Oilers3LSommaire du match
116597Oilers3Stars4LR2Sommaire du match
118605Oilers4Flyers5LSommaire du match
120611Devils3Oilers2LXSommaire du match
123629Predators3Oilers1LR2Sommaire du match
125639Oilers4Blues5LXXR2Sommaire du match
128655Maple Leafs3Oilers4WSommaire du match
132675Oilers1Avalanche6LR2Sommaire du match
133680Canucks5Oilers3LSommaire du match
136694Oilers2Canucks4LR5Sommaire du match
138702Islanders3Oilers2LSommaire du match
140713Oilers4Stars3WR2Sommaire du match
141723Oilers1Blues4LR2Sommaire du match
143732Islanders4Oilers6WSommaire du match
147751Senateurs5Oilers3LSommaire du match
151771Flyers4Oilers5WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153781Oilers2Maple Leafs3LSommaire du match
155792Oilers2Bruins3LSommaire du match
156798Wild2Oilers3WXR2Sommaire du match
158812Oilers3Wild4LSommaire du match
159819Oilers4Predators1WR2Sommaire du match
161828Oilers3Penguins4LSommaire du match
162831Flames1Oilers2WXXR5Sommaire du match
165850Sharks5Oilers4LXR5Sommaire du match
170871Flyers3Oilers5WSommaire du match
171881Oilers3Ducks5LR5Sommaire du match
173894Flames2Oilers1LR5Sommaire du match
175902Oilers4Flames1WSommaire du match
177913Oilers3Maple Leafs5LSommaire du match
180920Avalanche5Oilers3LR2Sommaire du match
184940Sharks5Oilers2LR5Sommaire du match
185947Oilers4Wild5LSommaire du match
187958Oilers2Blackhawks3LXXR2Sommaire du match
190966Avalanche3Oilers2LXR2Sommaire du match
192974Oilers3Blackhawks5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance63,70140,312
Assistance PCT77.68%98.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 2537 - 84.56% 127,570$5,230,366$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,574,834$ 3,809,999$ 3,809,999$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,579,944$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 24,541$ 24,541$




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