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EDMONTON OILERS
GP: 11 | W: 7 | L: 4
GF: 41 | GA: 42 | PP%: 33.33% | PK%: 70.00%
DG: Jay W | Morale : 80 | Moyenne d’équipe : 62
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Centre de jeu
EDMONTON OILERS
7-4-0, 14pts
4
FINAL
7 CAPE FEAR WILDCATS
8-10-0, 16pts
Team Stats
OTL1SéquenceL3
4-2-0Fiche domicile4-4-0
3-2-0Fiche domicile4-6-0
6-3-1Derniers 10 matchs4-5-1
3.73Buts par match 3.39
3.82Buts contre par match 2.89
33.33%Pourcentage en avantage numérique22.64%
70.00%Pourcentage en désavantage numérique74.65%
CAPE FEAR WILDCATS
8-10-0, 16pts
5
FINAL
4 EDMONTON OILERS
7-4-0, 14pts
Team Stats
L3SéquenceOTL1
4-4-0Fiche domicile4-2-0
4-6-0Fiche domicile3-2-0
4-5-1Derniers 10 matchs6-3-1
3.39Buts par match 3.73
2.89Buts contre par match 3.82
22.64%Pourcentage en avantage numérique33.33%
74.65%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe
Buts
Xavier Ouellet
6
Passes
Liam Foudy
9
Points
Liam Foudy
13
Plus/Moins
Brett Berard
4
Victoires
Topias Leinonen
7
Pourcentage d’arrêts
Topias Leinonen
0.884

Statistiques d’équipe
Buts pour
41
3.73 GFG
Tirs pour
359
32.64 Avg
Pourcentage en avantage numérique
33.3%
13 GF
Début de zone offensive
37.8%
Buts contre
42
3.82 GAA
Tirs contre
348
31.64 Avg
Pourcentage en désavantage numérique
70.0%%
15 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralJay W
EntraîneurDuane Sutter
DivisionPatrick
ConférenceRosling Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 66
Espoirs0


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
1Liam Foudy (R)XXX100.0029696847987797178767160558273082702243800,000$
2Max FribergX100.008160435777797377458375615291910827023151,275,000$
3Brock McGinnXX100.00545965588193877546676954528182085672293910,000$
4Zach BudishX100.007054475877778268216769596788960536623251,400,000$
5Quinton HowdenX100.001199627464797355636471599597082652321950,000$
6Ryan McLeod (R)XX100.00594987797570735384625964687770063642241550,000$
7Tyler Boucher (R)XX100.00603180677468696254585961636965055611212800,000$
8Boris KatchoukX100.0045999738065675734655963456258049612252650,000$
9Roni Hirvonen (R)X100.003187746964696564625957686278082612221600,000$
10Brett Berard (R)X100.0015590686666625951575856555955077572212500,000$
11Milan LucicX100.00999912738473853145312565729999057560352662,000$
12Xavier OuelletX100.006558526576838086508277794984800837323021,000,000$
13Theo RuthX100.00332585577951647450857177679999081670352940,000$
14Keegan LoweX100.0099991657557683358523989567777083672313800,000$
15Caleb JonesX100.00827161618271696344716364586969083662264650,000$
16Jackson Lacombe (R)X100.00907868657860635344555259436365057622221600,000$
17Ryan Chesley (R)X100.00371968706764746044615958506165082602193700,000$
18Elias Nils Pettersson (R)X100.0017395686870746744585764495865082602203600,000$
Rayé
1Jack Finley (R)X100.00594972617566656462605957546558019592211550,000$
2Samuel Fagemo (R)X100.007198627462625754575656607166020572245653,000$
3Oliver Johansson (R)X100.0023694717263626254535160586058020572202550,000$
4Janne KuokkanenXX100.0025399667952655456514961547566020562251650,000$
5Theodor Niederbach (R)XXX100.0014187727163645955535153566464039562221600,000$
6Quinn Olson (R)X100.00395393717457595445515255506266020562223500,000$
7Ville PokkaX100.0020599578268748343806474468085041662292675,000$
8Andreas EnglundX100.00421593678053635940534973597477020622281650,000$
9Yannick WeberX100.009199617450746360634871589999020620351650,000$
10Daniil Chayka (R)X100.00411681737467726345655256566277020612212700,000$
11Anton Johansson (R)X100.00453579646967676044595663486064020602193500,000$
12Matthew CairnsX100.00463175618052605244644061306066020572251650,000$
MOYENNE D’ÉQUIPE100.0044317766766670625062576355747405362
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
1Anthony Stolarz100.00567476837387727475676897680877422921,025,000$
2Topias Leinonen (R)100.0062656870655864606563625770084632203800,000$
Rayé
1Olivier Rodrigue (R)100.0059595785676564606558595766024632232550,000$
2Niklas Kokko (R)100.0064636265636365616263606065044622203700,000$
MOYENNE D’ÉQUIPE100.006065667667686664676362686706066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Duane Sutter85709484999950CAN5931,302,000$


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
1Liam FoudyEDMONTON OILERS (EDM)C/LW/RW114913-320494410359.09%323221.162687341011120061.54%13118001.1200000020
2Joel BrodaEDMONTON BUSCHWACKERSC117512-50082444123015.91%726223.8552714340001402056.01%39156000.9100000000
3Xavier OuelletEDMONTON OILERS (EDM)D11661222010261738181015.79%1327625.124261038000038110%099000.8700011201
4Brock McGinnEDMONTON OILERS (EDM)LW/RW11191011002113164146.25%117816.27123223000000033.33%365001.1200000000
5Max FribergEDMONTON OILERS (EDM)LW11371001552515407267.50%115514.1400001000000150.00%8102001.2900010021
6Quinton HowdenEDMONTON OILERS (EDM)C116281000182862121.43%317716.15101523000001150.00%11212000.9000000111
7Jujhar KhairaEDMONTON BUSCHWACKERSC/LW11167-552202717226184.55%1123921.790338340000230063.64%2286000.5800022000
8Theo RuthEDMONTON OILERS (EDM)D11336-2204272915810.34%1527525.01011419000027100%0510000.4400000000
9Ryan McLeodEDMONTON OILERS (EDM)C/LW1133630010132031615.00%215814.430110220001202045.59%6853000.7600000002
10Brett BerardEDMONTON OILERS (EDM)LW1132540031550460.00%314012.75000020000280033.33%601000.7100000001
11Zach BudishEDMONTON OILERS (EDM)RW1123502084184911.11%1908.230000000010000%132001.1000000002
12Caleb JonesEDMONTON OILERS (EDM)D11044223522228720%1427625.16011238011037000%0310000.2900100000
13Tyler BoucherEDMONTON OILERS (EDM)LW/RW11033395105145110%112211.09000020000800100.00%212000.4900001000
14Roni HirvonenEDMONTON OILERS (EDM)C1121310015186611.11%3999.02000000001100060.61%3311000.6000000000
15Jackson LacombeEDMONTON OILERS (EDM)D1102211352075320%616715.1901101900000000%004000.2400100000
16Elias Nils Pettersson EDMONTON OILERS (EDM)D11011-200142000%6968.790000000003000%006000.2100000000
17Milan LucicEDMONTON OILERS (EDM)LW110111951163320%1867.870000000000000%212000.2300001000
18Keegan LoweEDMONTON OILERS (EDM)D110111181015100100%512711.5700000000027000%013000.1600002010
19Ryan ChesleyEDMONTON OILERS (EDM)D11000100585210%412711.6000002000010000%03100000000000
Statistiques d’équipe totales ou en moyenne209416810941756522123935911221511.42%100329115.751319325230011252917354.01%6617383000.6600247368
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
1Topias LeinonenEDMONTON OILERS (EDM)117310.8843.6760500373191812000110110
2Anthony StolarzEDMONTON OILERS (EDM)20000.8284.486700529130000011000
Statistiques d’équipe totales ou en moyenne137310.8793.7467300423481942001111110


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 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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Andreas EnglundEDMONTON OILERS (EDM)D281/21/1996 5:09:01 AMNo209 Lbs6 ft6NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Anthony StolarzEDMONTON OILERS (EDM)G299/10/1994 3:10:58 AMNo247 Lbs6 ft6NoNoN/ANoNo2Pro & Farm1,025,000$48,810$40,000$1,905$102,500$4,881$No1,025,000$--------No--------
Anton Johansson EDMONTON OILERS (EDM)D196/10/2004 4:08:41 AMYes187 Lbs6 ft4NoNoN/ANoNo3Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$500,000$-------NoNo-------
Boris KatchoukEDMONTON OILERS (EDM)LW256/18/1998 9:55:00 AMNo206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No650,000$--------No--------
Brett BerardEDMONTON OILERS (EDM)LW219/9/2002 1:34:50 AMYes158 Lbs5 ft10NoNoN/ANoNo2Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$--------No--------
Brock McGinnEDMONTON OILERS (EDM)LW/RW299/10/1994 3:14:40 AMNo230 Lbs6 ft4NoNoN/ANoNo3Pro & Farm910,000$43,333$40,000$1,905$91,000$4,333$No910,000$910,000$-------NoNo-------
Caleb JonesEDMONTON OILERS (EDM)D265/29/1997 7:45:46 AMNo224 Lbs6 ft6NoNoN/ANoNo4Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No650,000$650,000$650,000$------NoNoNo------
Daniil ChaykaEDMONTON OILERS (EDM)D2110/22/2002 4:08:29 AMYes188 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$33,333$40,000$1,905$70,000$3,333$No700,000$--------No--------
Elias Nils Pettersson EDMONTON OILERS (EDM)D202/16/2004 3:39:59 AMYes187 Lbs6 ft2NoNoN/ANoNo3Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No600,000$600,000$-------NoNo-------
Jack FinleyEDMONTON OILERS (EDM)C219/2/2002 4:51:37 AMYes233 Lbs6 ft7NoNoN/ANoNo1Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No------------------
Jackson LacombeEDMONTON OILERS (EDM)D226/1/2001 5:58:32 AMYes206 Lbs6 ft3NoNoTrade1/18/2024NoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Janne KuokkanenEDMONTON OILERS (EDM)C/LW255/25/1998 9:53:06 AMNo208 Lbs6 ft5NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Keegan LoweEDMONTON OILERS (EDM)D313/29/1993 7:38:40 AMNo199 Lbs6 ft2NoNoN/ANoNo3Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$800,000$-------NoNo-------
Liam FoudyEDMONTON OILERS (EDM)C/LW/RW242/4/2000 5:23:40 AMYes186 Lbs6 ft1NoNoN/ANoNo3Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$800,000$-------NoNo-------
Matthew CairnsEDMONTON OILERS (EDM)D256/1/1998 3:14:33 AMNo220 Lbs6 ft3NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Max FribergEDMONTON OILERS (EDM)LW3111/20/1992 3:13:14 AMNo220 Lbs6 ft0NoNoN/ANoNo5Pro & Farm1,275,000$60,714$40,000$1,905$127,500$6,071$No1,275,000$1,275,000$1,275,000$1,275,000$-----NoNoNoNo-----
Milan LucicEDMONTON OILERS (EDM)LW356/7/1988No238 Lbs6 ft4NoNoN/ANoNo2Pro & Farm662,000$31,524$40,000$1,905$66,200$3,152$No662,000$--------No--------
Niklas KokkoEDMONTON OILERS (EDM)G203/14/2004 9:32:07 AMYes185 Lbs6 ft3NoNoN/ANoNo3Pro & Farm700,000$33,333$40,000$1,905$70,000$3,333$No700,000$700,000$-------NoNo-------
Oliver JohanssonEDMONTON OILERS (EDM)LW206/1/2003 7:36:46 AMYes182 Lbs6 ft1NoNoN/ANoNo2Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No550,000$--------No--------
Olivier RodrigueEDMONTON OILERS (EDM)G237/6/2000 7:49:45 AMYes234 Lbs6 ft4NoNoN/ANoNo2Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No550,000$--------No--------
Quinn OlsonEDMONTON OILERS (EDM)LW226/1/2001 9:14:36 AMYes189 Lbs6 ft3NoNoN/ANoNo3Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$500,000$-------NoNo-------
Quinton HowdenEDMONTON OILERS (EDM)C328/7/1991 5:31:31 AMNo202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm950,000$45,238$40,000$1,905$95,000$4,524$No------------------
Roni HirvonenEDMONTON OILERS (EDM)C221/10/2002 4:58:32 AMYes170 Lbs5 ft11NoNoN/ANoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Ryan ChesleyEDMONTON OILERS (EDM)D196/1/2004 7:59:32 AMYes200 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$33,333$40,000$1,905$70,000$3,333$No700,000$700,000$-------NoNo-------
Ryan McLeodEDMONTON OILERS (EDM)C/LW249/21/1999 7:09:46 AMYes208 Lbs6 ft1NoNoTrade1/18/2024NoNo1Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No------------------
Samuel FagemoEDMONTON OILERS (EDM)RW243/14/2000 6:37:28 AMYes201 Lbs5 ft11NoNoN/ANoNo5Pro & Farm653,000$31,095$40,000$1,905$65,300$3,110$No653,000$653,000$653,000$653,000$-----NoNoNoNo-----
Theo RuthEDMONTON OILERS (EDM)D352/14/1989No231 Lbs6 ft1NoNoN/ANoNo2Pro & Farm940,000$44,762$40,000$1,905$94,000$4,476$No940,000$--------No--------
Theodor NiederbachEDMONTON OILERS (EDM)C/LW/RW222/25/2002 4:37:23 AMYes177 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Topias LeinonenEDMONTON OILERS (EDM)G201/25/2004 8:20:38 AMYes234 Lbs5 ft7NoNoN/ANoNo3Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$800,000$-------NoNo-------
Tyler BoucherEDMONTON OILERS (EDM)LW/RW211/16/2003 7:22:23 AMYes209 Lbs6 ft4NoNoTrade2/5/2024NoNo2Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$--------No--------
Ville PokkaEDMONTON OILERS (EDM)D299/10/1994 2:52:46 AMNo237 Lbs6 ft4NoNoN/ANoNo2Pro & Farm675,000$32,143$40,000$1,905$67,500$3,214$No675,000$--------No--------
Xavier OuelletEDMONTON OILERS (EDM)D307/29/1993 5:17:54 AMNo203 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,000,000$47,619$40,000$1,905$100,000$4,762$No1,000,000$--------No--------
Yannick WeberEDMONTON OILERS (EDM)D359/23/1988No208 Lbs5 ft11NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Zach BudishEDMONTON OILERS (EDM)RW328/8/1991 4:32:40 AMNo216 Lbs6 ft0NoNoN/ANoNo5Pro & Farm1,400,000$66,667$40,000$1,905$140,000$6,667$No1,400,000$1,400,000$1,400,000$1,400,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3425.35207 Lbs6 ft22.29729,118$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam Foudy40122
2Max FribergQuinton HowdenBrock McGinn30122
3Tyler BoucherRyan McLeodBrett Berard20122
4Milan LucicRoni HirvonenZach Budish10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletCaleb Jones40122
2Theo RuthJackson Lacombe30122
3Theo RuthElias Nils Pettersson 20122
4Ryan ChesleyKeegan Lowe10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam Foudy60122
2Ryan McLeodQuinton HowdenBrock McGinn40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletCaleb Jones60122
2Theo RuthJackson Lacombe40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Liam FoudyBrett Berard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletCaleb Jones60122
2Keegan LoweTheo Ruth40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Elias Nils Pettersson Ryan Chesley60122
240122Theo RuthKeegan Lowe40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach Budish60122
2Brett Berard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keegan LoweElias Nils Pettersson 60122
2Ryan ChesleyJackson Lacombe40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyXavier OuelletCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyXavier OuelletCaleb Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan McLeod, Zach Budish, Tyler BoucherBrett Berard, Max FribergRyan McLeod
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Chesley, Elias Nils Pettersson , Keegan LoweRyan ChesleyRyan Chesley, Elias Nils Pettersson
Tirs de pénalité
, , Liam Foudy, Brett Berard, Brock McGinn
Gardien
#1 : Topias Leinonen, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
, , Liam Foudy, Brett Berard, Brock McGinn, Quinton Howden, Quinton Howden, Ryan McLeod, Tyler Boucher, Roni Hirvonen, Zach Budish
Lignes de défense personnalisées en prolongation
Keegan Lowe, Xavier Ouellet, Caleb Jones, Jackson Lacombe, Elias Nils Pettersson


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
1CALGARY WRANGLERS44000000191452200000097222000000107381.0001931500081715113612010912371253542786350.00%21576.19%113625054.40%12923355.36%9217851.69%23313424510319394
2CAPE FEAR WILDCATS734000002228-6422000001413131200000815-760.42922375900817151223120109123722365133143331030.30%291065.52%013625054.40%12923355.36%9217851.69%23313424510319394
Total1174000004142-16420000023203532000001822-4140.6364168109008171513591201091237348100175221391333.33%501570.00%113625054.40%12923355.36%9217851.69%23313424510319394
_Since Last GM Reset1174000004142-16420000023203532000001822-4140.6364168109008171513591201091237348100175221391333.33%501570.00%113625054.40%12923355.36%9217851.69%23313424510319394
_Vs Conference1174000004142-16420000023203532000001822-4140.6364168109008171513591201091237348100175221391333.33%501570.00%113625054.40%12923355.36%9217851.69%23313424510319394
_Vs Division44000000191452200000097222000000107381.0001931500081715113612010912371253542786350.00%21576.19%113625054.40%12923355.36%9217851.69%23313424510319394

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1114OTL1416810935934810017522100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
117400004142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200002320
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001822
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
391333.33%501570.00%1
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
1201091237817151
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
13625054.40%12923355.36%9217851.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
23313424510319394


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
26CALGARY WRANGLERS4EDMONTON OILERS5BWSommaire du match
414CALGARY WRANGLERS3EDMONTON OILERS4BWXSommaire du match
622EDMONTON OILERS6CALGARY WRANGLERS4AWSommaire du match
830EDMONTON OILERS4CALGARY WRANGLERS3AWSommaire du match
1659CAPE FEAR WILDCATS2EDMONTON OILERS4BWSommaire du match
1863CAPE FEAR WILDCATS4EDMONTON OILERS3BLSommaire du match
2067EDMONTON OILERS3CAPE FEAR WILDCATS1AWSommaire du match
2271EDMONTON OILERS1CAPE FEAR WILDCATS7ALSommaire du match
2475CAPE FEAR WILDCATS2EDMONTON OILERS3BWSommaire du match
2679EDMONTON OILERS4CAPE FEAR WILDCATS7ALSommaire du match
2883CAPE FEAR WILDCATS5EDMONTON OILERS4BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3000 - 100.00% 85,000$510,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,479,000$ 136,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 34 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




EDMONTON 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

EDMONTON 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

EDMONTON 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

EDMONTON 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

EDMONTON 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