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Oilers
GP: 12 | W: 7 | L: 5
GF: 43 | GA: 37 | PP%: 20.31% | PK%: 80.60%
DG: Alain Bard | Morale : 65 | Moyenne d’équipe : 68
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Centre de jeu
Sharks
9-10-0, 18pts
3
FINAL
4 Oilers
7-5-0, 14pts
Team Stats
L1StreakOTL1
6-5-0Home Record3-2-0
3-5-0Away Record4-3-0
4-5-1Last 10 Games6-3-1
2.95Buts par match 3.58
3.58Buts contre par match 3.08
19.18%Pourcentage en avantage numérique20.31%
78.95%Pourcentage en désavantage numérique80.60%
Oilers
7-5-0, 14pts
2
FINAL
3 Sharks
9-10-0, 18pts
Team Stats
OTL1StreakL1
3-2-0Home Record6-5-0
4-3-0Away Record3-5-0
6-3-1Last 10 Games4-5-1
3.58Buts par match 2.95
3.08Buts contre par match 3.58
20.31%Pourcentage en avantage numérique19.18%
80.60%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Buts
Charles Hudon
9
Passes
Nic Dowd
9
Points
Charles Hudon
17
Plus/Moins
Charles Hudon
5
Victoires
Christopher Gibson
6
Pourcentage d’arrêts
Christopher Gibson
0.912

Statistiques d’équipe
Buts pour
43
3.58 GFG
Tirs pour
372
31.00 Avg
Pourcentage en avantage numérique
20.3%
13 GF
Début de zone offensive
38.7%
Buts contre
37
3.08 GAA
Tirs contre
369
30.75 Avg
Pourcentage en désavantage numérique
80.6%%
13 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralAlain Bard
EntraîneurDoug Jarvis
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,773
Billets de saison2,100


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs28


Historique d'équipe

Saison actuelle7-5
Historique45-29-9 (0.542%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7-5
Coupe Stanley0


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
1Christian Fischer (R)X100.0081309966777894995397917453816267807902611,000,000$
2Charles Hudon X100.0068419170716690947292847667808152827702923,000,000$
3Kailer Yamamoto (R)X100.0081408476677786816578767477697277797202421,000,000$
4Nic Dowd (R)X100.008045847083778666977569892589787381720331700,000$
5Kerby Rychel (R)X100.005735676576445188568280755084816978700282700,000$
6Kevin Rooney (R)X100.007791727083707967846664906180743180700301900,000$
7Brendan Lemieux (R)X100.007999607482568373337570707575727077690272800,000$
8Shane Pinto (R)X100.007743777084637866877768762567707380680222925,000$
9Trevor Zegras (R)X100.007340857583707465797971597565688479680222925,000$
10Kiefer Sherwood (R)X100.007945997483526170707369682575706080670283700,000$
11Liam Foudy (R)X100.007542917784636764817468672568717880670232894,167$
12Anthony Angello (R)X100.007747876584758358767368632570665720650272725,000$
13Dylan DeMelo (R)X100.0086458067748190653075558751797338807303011,500,000$
14Jordan Oesterle (R)X100.0061318370717584793080728252847629797203131,500,000$
15Dante Fabbro (R)X100.007342837182787966257470712569687881690253800,000$
16Victor Mete (R)X100.007342907283686466257168682570726762670252800,000$
17Jake Walman (R)X100.007343897282646469257168612573695772660271925,000$
Rayé
1Trevor LewisX100.007544986982558666557269684590816572680362800,000$
2Chris Mueller (R)X100.00715065597771997873585676589990119670371575,000$
3Maxim Mamin (R)X100.005434866875577770647066695172574420640282575,000$
4Ryan McLeod (R)X100.007142996782637363817467642566657119640232834,167$
5Trent Frederic (R)X100.007690596583587954727268662566687820630253575,000$
6Rhett Gardner (R)X100.007546906783557159757268562573696119630271925,000$
7Josh Currie (R)X100.007129796572636063716258745173583119620301575,000$
8Taylor Raddysh (R)X100.008280886380686868804545696544446920580253758,333$
9Victor Bartley (R)X100.00788353617546626457574780549787452660352700,000$
10Paul Postma (R)X100.003420996875526663236350736096872620630343575,000$
11Matt Kiersted (R)X100.007167996480454760257168643744444919600253762,500$
12Dylan Samberg (R)X100.008381866081555847253131643844445219560243925,000$
MOYENNE D’ÉQUIPE100.00735184687964746958716671457470565567
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)100.007789888481858697977776818754808403011,500,000$
2Jeremy Swayman (R)100.00858086788492949392838270737181830242925,000$
Rayé
1Lukas Dostal (R)100.00626986676365526459583044446119610233822,500$
MOYENNE D’ÉQUIPE100.0075798776768177858373636568626076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Jarvis63827469998472CAN673500,000$


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
1Charles Hudon Oilers (EDM)LW129817560232450113318.00%1026922.4942617580000572047.62%21124001.2600000230
2Christian FischerOilers (EDM)RW126814500283258102010.34%927623.0724620590001621045.83%12045001.0100000103
3Kailer YamamotoOilers (EDM)RW126612-175221443132413.95%422718.953256420002282047.83%2352001.0600010220
4Kerby RychelOilers (EDM)LW127512-114019234661915.22%519716.50314842101121050.00%832001.2100000021
5Nic DowdOilers (EDM)C120995141037308440.00%823919.960662590000300056.09%27142000.7500002011
6Kevin RooneyOilers (EDM)C12347-21953126136323.08%319416.22022442000000155.91%22024000.7200001000
7Kiefer SherwoodOilers (EDM)RW12426400108184822.22%0957.930000000000100.00%041001.2600000001
8Victor MeteOilers (EDM)D12055-16020249310.00%726522.09000138000040000.00%044000.3800000100
9Liam FoudyOilers (EDM)LW1222420011476628.57%4826.910000000000000.00%131000.9600000100
10Trevor ZegrasOilers (EDM)C121340401218183195.56%213911.62000000001180052.78%7222000.5700000000
11Brendan LemieuxOilers (EDM)LW12123025522212610283.85%614712.29000020002110030.00%1070000.4100010000
12Victor BartleyOilers (EDM)D120332255332113420.00%415512.940000000003000.00%005000.3900010000
13Trevor LewisOilers (EDM)RW10213-3007131631012.50%410210.2700001000000050.00%812000.5800000001
14Jordan OesterleOilers (EDM)D1212341410112718665.56%1530525.43112764000158000.00%069000.2000110000
15Jake WalmanOilers (EDM)D1203322015135330.00%616914.1000000000015000.00%022000.3500000000
16Shane PintoOilers (EDM)C121233408441825.00%1937.8000000000000040.48%4231000.6400000000
17Dante FabbroOilers (EDM)D12022120024217520.00%1225921.61000037011034000.00%029000.1500000000
18Dylan DeMelo Oilers (EDM)D120224100283513350.00%1430925.79011364000059000.00%009000.1300000000
19Anthony AngelloOilers (EDM)RW2000020310000.00%0115.690000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne2164369112291724036435937210120111.56%114354216.401319326851511284237152.39%7966464000.6300143787
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
1Christopher GibsonOilers (EDM)116310.9122.666312128320146000.00%0102200
2Jeremy SwaymanOilers (EDM)21100.8165.51980094917000.00%0210000
Statistiques d’équipe totales ou en moyenne137410.9003.0473021373691630001212200


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Anthony AngelloOilers (EDM)RW271996-03-06 03:41:22Yes209 Lbs6 ft5NoNoNo2Pro & Farm725,000$0$0$No725,000$
Brendan LemieuxOilers (EDM)LW271996-03-15 14:23:45Yes215 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$
Charles Hudon Oilers (EDM)LW291994-06-22 05:11:43No188 Lbs5 ft10NoNoNo2Pro & Farm3,000,000$0$0$No3,000,000$
Chris MuellerOilers (EDM)RW371986-03-06 17:11:13Yes215 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Christian FischerOilers (EDM)RW261997-04-15 09:00:37Yes214 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$No
Christopher GibsonOilers (EDM)G301992-12-27 05:11:14Yes216 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
Dante FabbroOilers (EDM)D251998-06-20 11:37:54Yes190 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Dylan DeMelo Oilers (EDM)D301993-05-01 05:12:57Yes194 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$0$0$No
Dylan SambergOilers (EDM)D241999-01-24 13:37:06Yes216 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Jake WalmanOilers (EDM)D271996-02-20 06:56:22Yes201 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
Jeremy SwaymanOilers (EDM)G241998-11-24 10:23:28Yes187 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
Jordan OesterleOilers (EDM)D311992-06-25 06:39:21Yes182 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Josh CurrieOilers (EDM)RW301992-10-29 08:46:08Yes190 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Kailer YamamotoOilers (EDM)RW241998-09-29 14:20:42Yes159 Lbs5 ft8NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Kerby RychelOilers (EDM)LW281994-10-07 17:11:13Yes213 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Kevin RooneyOilers (EDM)C301993-05-21 04:57:57Yes190 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Kiefer SherwoodOilers (EDM)RW281995-03-31 05:04:59Yes194 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Liam FoudyOilers (EDM)LW232000-02-04 10:26:37Yes183 Lbs6 ft2NoNoNo2Pro & Farm894,167$0$0$No894,167$
Lukas DostalOilers (EDM)G232000-06-22 13:39:26Yes174 Lbs6 ft2NoNoNo3Pro & Farm822,500$0$0$No822,500$822,500$
Matt KierstedOilers (EDM)D251998-04-14 10:20:39Yes181 Lbs6 ft0NoNoNo3Pro & Farm762,500$0$0$No762,500$762,500$
Maxim MaminOilers (EDM)LW281995-01-13 04:51:05Yes191 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Nic DowdOilers (EDM)C331990-05-27 13:20:12Yes197 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Paul PostmaOilers (EDM)D341989-02-22 11:11:13Yes195 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Rhett GardnerOilers (EDM)LW271996-02-28 06:59:34Yes225 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$No
Ryan McLeodOilers (EDM)C231999-09-21 10:30:39Yes201 Lbs6 ft3NoNoNo2Pro & Farm834,167$0$0$No834,167$
Shane PintoOilers (EDM)C222000-11-12 10:32:44Yes194 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
Taylor RaddyshOilers (EDM)RW251998-02-18 13:41:25Yes198 Lbs6 ft3NoNoNo3Pro & Farm758,333$0$0$No758,333$758,333$
Trent FredericOilers (EDM)C251998-02-11 11:40:05Yes203 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Trevor LewisOilers (EDM)RW361987-01-08 23:11:13No205 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$
Trevor ZegrasOilers (EDM)C222001-03-20 10:34:51Yes170 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
Victor BartleyOilers (EDM)D351988-02-17 05:11:13Yes208 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$
Victor MeteOilers (EDM)D251998-06-07 14:19:19Yes183 Lbs5 ft9NoNoNo2Pro & Farm800,000$0$0$No800,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3227.59196 Lbs6 ft12.00925,677$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles Hudon Nic DowdChristian Fischer35122
2Kerby RychelKevin RooneyKailer Yamamoto35122
3Brendan LemieuxShane PintoKiefer Sherwood25122
4Liam FoudyTrevor ZegrasAnthony Angello5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMelo Jordan Oesterle35122
2Dante FabbroVictor Mete35122
3Jake Walman30122
4Dylan DeMelo Jordan Oesterle0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles Hudon Nic DowdChristian Fischer60122
2Kerby RychelKevin RooneyKailer Yamamoto40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMelo Jordan Oesterle60122
2Dante FabbroVictor Mete40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian FischerCharles Hudon 60122
2Kailer YamamotoNic Dowd40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMelo Jordan Oesterle60122
2Dante FabbroVictor Mete40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christian Fischer60122Dylan DeMelo Jordan Oesterle60122
2Charles Hudon 40122Dante FabbroVictor Mete40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christian FischerCharles Hudon 60122
2Kailer YamamotoNic Dowd40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMelo Jordan Oesterle60122
2Dante FabbroVictor Mete40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles Hudon Nic DowdChristian FischerDylan DeMelo Jordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles Hudon Nic DowdChristian FischerDylan DeMelo Jordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Lemieux, Shane Pinto, Trevor ZegrasBrendan Lemieux, Shane PintoTrevor Zegras
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Dylan DeMelo , Dante FabbroJordan Oesterle, Dante Fabbro
Tirs de pénalité
Christian Fischer, Charles Hudon , Kailer Yamamoto, Nic Dowd, Kerby Rychel
Gardien
#1 : Christopher Gibson, #2 : Jeremy Swayman
Lignes d’attaque personnalisées en prolongation
Christian Fischer, Charles Hudon , Kailer Yamamoto, Nic Dowd, Kerby Rychel, Kevin Rooney, Kevin Rooney, Brendan Lemieux, Shane Pinto, Trevor Zegras, Kiefer Sherwood
Lignes de défense personnalisées en prolongation
Dylan DeMelo , Jordan Oesterle, Dante Fabbro, Victor Mete,


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
1Ducks54100000191452200000085332100000119280.80019294801101417215911510813811151577315224416.67%24579.17%116730854.22%15531649.05%9517255.23%258138256117216106
2Sharks7340000024231312000001011-1422000001412260.429244064001014172213115108138112185710121240922.50%43881.40%016730854.22%15531649.05%9517255.23%258138256117216106
Total1275000004337653200000181627430000025214140.583436911201101417237211510813811369114174364641320.31%671380.60%116730854.22%15531649.05%9517255.23%258138256117216106
_Since Last GM Reset1275000004337653200000181627430000025214140.583436911201101417237211510813811369114174364641320.31%671380.60%116730854.22%15531649.05%9517255.23%258138256117216106
_Vs Conference1275000004337653200000181627430000025214140.583436911201101417237211510813811369114174364641320.31%671380.60%116730854.22%15531649.05%9517255.23%258138256117216106
_Vs Division1275000004337653200000181627430000025214140.583436911201101417237211510813811369114174364641320.31%671380.60%116730854.22%15531649.05%9517255.23%258138256117216106

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214OTL1436911237236911417436401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500004337
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001816
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300002521
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
641320.31%671380.60%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
115108138111014172
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
16730854.22%15531649.05%9517255.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
258138256117216106


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
2 - 2022-10-198Oilers2Ducks5ALR5Sommaire du match
4 - 2022-10-2116Oilers5Ducks4AWSommaire du match
6 - 2022-10-2324Ducks4Oilers5BWXR5Sommaire du match
8 - 2022-10-2532Ducks1Oilers3BWSommaire du match
10 - 2022-10-2740Oilers4Ducks0AWR5Sommaire du match
16 - 2022-11-0260Oilers1Sharks3ALR5Sommaire du match
18 - 2022-11-0464Oilers5Sharks4AWSommaire du match
20 - 2022-11-0668Sharks4Oilers3BLR5Sommaire du match
22 - 2022-11-0872Sharks4Oilers3BLSommaire du match
24 - 2022-11-1076Oilers6Sharks2AWR5Sommaire du match
26 - 2022-11-1280Sharks3Oilers4BWXSommaire du match
28 - 2022-11-1484Oilers2Sharks3ALXR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance8,8675,000
Assistance PCT88.67%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2773 - 92.45% 141,484$707,420$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,962,167$ 1,472,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Oilers Leaders statistiques (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
Saison régulière
Total Saison régulière82332908741253235184119130521113011614411416035301231194982534266793169878515248081583179958253879674221402604416.92%2655380.00%61060196354.00%1027197951.89%651119554.48%175399717637591458721
Séries éliminatoires
Total Séries éliminatoires127500000433765320000018162743000002521414436911201101417237211510813811369114174364641320.31%671380.60%116730854.22%15531649.05%9517255.23%258138256117216106

Oilers Leaders statistiques (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