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Game Center
Oilers
36-20-6, 78pts
5
FINAL
2 Ducks
25-29-6, 56pts
Team Stats
OTL1StreakL4
21-9-2Home Record11-15-2
15-11-4Away Record14-14-4
7-2-1Last 10 Games4-5-1
3.31Goals Per Game3.23
2.65Goals Against Per Game3.75
18.55%Power Play Percentage18.90%
83.57%Penalty Kill Percentage80.00%
Oilers
36-20-6, 78pts
4
FINAL
5 Sharks
21-31-9, 51pts
Team Stats
OTL1StreakOTW1
21-9-2Home Record9-17-4
15-11-4Away Record12-14-5
7-2-1Last 10 Games4-5-1
3.31Goals Per Game2.87
2.65Goals Against Per Game3.75
18.55%Power Play Percentage16.25%
83.57%Penalty Kill Percentage81.25%
GoldenKnights
28-25-7, 63pts
Day 132
Oilers
36-20-6, 78pts
Team Stats
L2StreakOTL1
16-11-5Home Record21-9-2
12-14-2Away Record15-11-4
6-2-2Last 10 Games7-2-1
3.13Goals Per Game3.31
3.18Goals Against Per Game2.65
18.49%Power Play Percentage18.55%
81.25%Penalty Kill Percentage83.57%
Oilers
36-20-6, 78pts
Day 133
Flames
21-36-4, 46pts
Team Stats
OTL1StreakL1
21-9-2Home Record13-16-2
15-11-4Away Record8-20-2
7-2-1Last 10 Games5-5-0
3.31Goals Per Game2.95
2.65Goals Against Per Game3.82
18.55%Power Play Percentage19.64%
83.57%Penalty Kill Percentage76.06%
Canadiens
23-34-4, 50pts
Day 137
Oilers
36-20-6, 78pts
Team Stats
L1StreakOTL1
9-19-2Home Record21-9-2
14-15-2Away Record15-11-4
3-7-0Last 10 Games7-2-1
3.30Goals Per Game3.31
3.92Goals Against Per Game2.65
22.18%Power Play Percentage18.55%
76.19%Penalty Kill Percentage83.57%
Team Leaders
Marco RossiGoals
Marco Rossi
26
J.T. MillerAssists
J.T. Miller
42
J.T. MillerPoints
J.T. Miller
64
Mikhail SergachevPlus/Minus
Mikhail Sergachev
28
Andrei VasilevskiyWins
Andrei Vasilevskiy
36
Andrei VasilevskiySave Percentage
Andrei Vasilevskiy
0.912

Team Stats
Goals For
205
3.31 GFG
Shots For
1883
30.37 Avg
Power Play Percentage
18.5%
51 GF
Offensive Zone Start
40.5%
Goals Against
164
2.65 GAA
Shots Against
1832
29.55 Avg
Penalty Kill Percentage
83.6%
58 GA
Defensive Zone Start
42.0%
Injury / Suspension
No Injury or Suspension.
Team Info
General ManagerMartin Paradis
CoachKris Knoblauch
DivisionPacific
ConferenceWestern
Captain
Assistant #1
Assistant #2
Uniforms
Arena Info
NameRexall Place
Capacity25,000
Attendance23,255
Season Tickets10,000
Roster Info
Pro Team22
Farm Team27
Contract Limit49 / 50
Prospects25
Salary Cap
Estimated Season Salary Cap87,453,992$
Available Salary Cap2,546,008$
Special Salary Cap Value0$
Players In Salary Cap22
Finance
Year to Date Revenue59,950,860$
Year To Date Expenses64,583,136$
Estimated Season Revenue16,861,179$
Estimated Season Expenses24,370,800$
Current Bank Account150,500,152$
Projected Bank Account141,711,381$
Team History
This Season36-20-6 (78PTS)
History722-839-128 (0.427%)
Playoff Appearances6
Playoff Record (W-L)28-27
Stanley Cup1


Filter Tips
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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1J.T. MillerX99.0095627591728592859395758275868635608103237,500,000$
2Tim StutzleX100.0077467994578799858395747287687880547802371$
3Brady TkachukX100.0099735684828592768670837153748065477502658,000,000$
4Bo HorvatX100.0069538686718998749369787472828645547503019,000,000$
5Marco RossiX100.0058418491468599758276747040707875547202425,500,000$
6Adam LowryX100.0085678278768093648760688240868335557103213,500,000$
7Jake DeBruskX100.0067498684628299694060786675808150547002914,000,000$
8Adam HenriqueX100.0057478680597998599155627957928620556803515,750,000$
9Justin DanforthX100.008841848247798559855662764086833568670321900,000$
10Matthew PecaX100.006541858547776763705967706586823554660323575,000$
11Mason AppletonX100.0065498479627992584054626740808050586502942,400,000$
12Mavrik BourqueX100.005543888250769359815662704068728052650231925,000$
13Mikhail SergachevX100.0059548286739296774080748573768460547702726,600,000$
14Joshua MorrisseyX100.0054478591599098804089727840828645547603059,000,000$
15Jacob TroubaX100.0090657375738496534054528540848440577303135,000,000$
16Nick SeelerX100.0078568177667996564058558740868335437303233,500,000$
17Sean DurziX100.0052557782618464634059667940768060506902735,000,000$
18Philippe MyersX100.008964827581776852404757734078785543680282575,000$
Scratches
1Nathan WalkerX100.009956738049759354884959704084804019650312575,000$
2Isac LundestromX100.0054468778577797538251547640747665196302611,500,000$
Farm Team
1Brock McGinnX100.0095469080577461584053638184847940346603132,000,000$
2Charles HudonX100.007944738551766664407054704084804034650313575,000$
3Mattias JanmarkX100.0053528576687798547656527140888330346403332,000,000$
4Craig SmithX100.0062507879657483584053636864948415346403632,000,000$
5Kevin LabancX100.006044838252726659406455678182774534630303975,000$
6Tyson KozakX100.006944888052725755814862714068708028610231925,000$
7Ryan CarpenterX100.005849867663817153705452564090862523600342575,000$
8Zach SanfordX100.005954737571796950404852667384824034600312575,000$
9Nail YakupovX100.0081468377576050504052475040867335345603212,000,000$
10Noah Laba (R)X100.006651798561605044403552634066638528550223925,000$
11Sandis Vilmanis (R)X100.006447868659706043404442554064679026550213925,000$
12Urho VaakanainenX100.0049528378687778594063557040747665346602631,000,000$
13Erik GustafssonX100.0051478380587784584062546240888330346503332,000,000$
14Marc-Edouard VlasicX100.004351897566746250404655714098865336403821,000,000$
15Nikita OkhotyukX100.0099487276615550524053527040726470346302532,000,000$
16Scott PerunovichX100.0050408482457767574056576940767760346302732,000,000$
17Kevin KorchinskiX100.004346807656785451404558664064719034600212925,000$
18Caedan BankierX100.005548797561776741703744504066728520530222925,000$
19Matthew MaggioX100.005556797553695938403640507368698020510232925,000$
20Sam Lipkin (R)X100.005847808653655536402745524066668520510223925,000$
21Ryan HoferX100.005751847563605033402838654068648020500232925,000$
22Fabian Wagner (R)X100.005443848949605036402843514064629020500213925,000$
23Kale ClagueX100.005746817756736851405448634076756020610273575,000$
24Michael Buchinger (R)X100.006250778657555033403135504064609019530213925,000$
TEAM AVERAGE99.98675081816076765755555869497877553864
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Andrei Vasilevskiy99.009499999994949493929199848940619103158,500,000$
2Antoine Bibeau100.00755060925050505050506384674069590313575,000$
Scratches
Farm Team
1Chris Driedger100.00805060955050505050509084674049590313975,000$
2Olivier Rodrigue100.00817075785050505050507672617049580253975,000$
3Zachary Emond100.00755060875050505050507572617020570253575,000$
TEAM AVERAGE99.8081647190595959595858817969525065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kris Knoblauch68868990827576CAN4741,500,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
1J.T. MillerOilersRW6122426421015264147235611489.36%16133821.94915248024200092187155.96%52000100.9623001664
2Tim StutzleOilersRW6217395621200181481655014410.30%2123719.9631518402440000112141.12%10700010.9016000313
3Mikhail SergachevOilersD621637532868010585130418012.31%111148723.998816762210002287310.00%000000.7101000442
4Marco RossiOilersC6226275390091061655110115.76%697615.75791658224000004151.67%89800001.0901000270
5Joshua MorrisseyOilersD629394812220479411538917.83%95162026.1341216662350003309300.00%000000.5900000253
6Bo HorvatOilersC62173148210011160171541339.94%13134121.63312154521710161931156.93%183900010.7226000311
7Brady TkachukOilersLW622323461815420275431784913712.92%7124320.055611432380002271155.56%10800000.7426301442
8Jacob TroubaOilersD62102131911752234777305212.99%95139622.52549362010112227210.00%000000.4400100205
9Jake DeBruskOilersLW62121325141202143107327911.21%395515.4253825203000061139.39%6600000.5201000020
10Adam LowryOilersC62149239895131101105358413.33%1191014.682021712000031613153.02%69600100.5100001200
11Adam HenriqueOilersC6211122312601213678295414.10%1187814.180002100063182252.99%128700000.5200000002
12Nick SeelerOilersD59416202578101054139142410.26%4592415.66011490111122200.00%000000.4300001120
13Sean DurziOilersD6231518142153485519395.45%5594915.310114310000146000.00%000000.3800000012
14Matthew PecaOilersRW62413171110026468621424.65%263810.30000030001471143.14%5100000.5300000010
15Mavrik BourqueOilersRW6161016120014060143610.00%34928.081231654000003056.33%30000000.6500000112
16Mason AppletonOilersLW62471150020465714357.02%1165810.620001700051931034.11%34300000.3300000000
17Justin DanforthOilersC4674118140494841132917.07%33367.3100005000021050.71%35300000.6500000002
18Nathan WalkerOilersC33235116029231421214.29%41645.0000000000010152.46%18300000.6100000010
19Isac LundestromOilersLW323252000212381413.04%32507.82000010002850044.44%900100.4000000000
20Philippe MyersOilersD301453540681011279.09%2841213.7400001000050000.00%000000.2400000001
21Marc-Edouard VlasicBaronsOKC (Edm)D2000-300020010.00%22613.490000000001000.00%000000.0000000000
Team Total or Average113021136757823378250141714351912577134211.04%5261823816.1452881405132266123422415371352.81%676000320.63724404303629
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Andrei VasilevskiyOilers62362060.9122.56368114515717890300.82623620545
2Antoine BibeauOilers20000.8843.8578005430000.0000062000
Team Total or Average64362060.9122.59375914516218320300.826236262545


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Adam HenriqueOilersC351990-02-06No195 Lbs6 ft0NoNoYes1Pro Only5,750,000$5,750,000$1,550,562$No
UFA
Link / NHL Link
Adam LowryOilersC321993-03-29No210 Lbs6 ft5NoNoYes1Pro & Farm3,500,000$3,500,000$943,820$No
UFA
Link / NHL Link
Andrei VasilevskiyOilersG311994-07-25No207 Lbs6 ft5NoNoYes5Pro Only8,500,000$8,500,000$2,292,135$No8,500,000$8,500,000$8,500,000$8,500,000$
UFA
Link / NHL Link
Antoine BibeauOilersG311994-05-01No210 Lbs6 ft2NoNoNo3Pro & Farm575,000$575,000$155,056$No575,000$575,000$
UFA
Link / NHL Link
Bo HorvatOilersC301995-04-05No215 Lbs6 ft1NoNoYes1Pro Only9,000,000$9,000,000$2,426,966$No
UFA
Link / NHL Link
Brady TkachukOilersLW261999-09-16No225 Lbs6 ft4NoNoYes5Pro Only8,000,000$8,000,000$2,157,303$No8,000,000$8,000,000$8,000,000$8,000,000$
UFA
Link / NHL Link
Isac LundestromOilersLW261999-11-06No191 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,500,000$404,494$No
RFA
Link / NHL Link
J.T. MillerOilersRW321993-03-14No218 Lbs6 ft1NoNoYes3Pro Only7,500,000$7,500,000$2,022,472$No7,500,000$7,500,000$
UFA
Link / NHL Link
Jacob TroubaOilersD311994-02-26No212 Lbs6 ft3NoNoYes3Pro Only5,000,000$5,000,000$1,348,315$No5,000,000$5,000,000$
UFA
Link / NHL Link
Jake DeBruskOilersLW291996-10-17No198 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$4,000,000$1,078,652$No
UFA
Link / NHL Link
Joshua MorrisseyOilersD301995-03-28No195 Lbs6 ft0NoNoYes5Pro Only9,000,000$9,000,000$2,426,966$No9,000,000$9,000,000$9,000,000$9,000,000$
UFA
Link / NHL Link
Justin DanforthOilersC321993-03-15No188 Lbs5 ft8NoNoNo1Pro & Farm900,000$900,000$242,697$No
UFA
Link / NHL Link
Marco RossiOilersC242001-09-23No182 Lbs5 ft9NoNoYes2Pro Only5,500,000$5,500,000$1,483,146$No5,500,000$
RFA
Link / NHL Link
Mason AppletonOilersLW291996-01-15No194 Lbs6 ft2NoNoYes4Pro & Farm2,400,000$2,400,000$647,191$No2,400,000$2,400,000$2,400,000$
UFA
Link / NHL Link
Matthew PecaOilersRW321993-04-27No180 Lbs5 ft10NoNoNo3Pro & Farm575,000$575,000$155,056$No575,000$575,000$
UFA
Link / NHL Link
Mavrik BourqueOilersRW232002-01-08No181 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$249,438$No
RFA
Link / NHL Link
Mikhail SergachevOilersD271998-06-25No212 Lbs6 ft3NoNoYes2Pro Only6,600,000$6,600,000$1,779,775$No6,600,000$
UFA
Link / NHL Link
Nathan WalkerOilersC311994-02-07No187 Lbs5 ft9NoNoNo2Pro & Farm575,000$575,000$155,056$No575,000$
UFA
Link / NHL Link
Nick SeelerOilersD321993-06-03No197 Lbs6 ft3NoNoYes3Pro & Farm3,500,000$3,500,000$943,820$No3,500,000$3,500,000$
UFA
Link / NHL Link
Philippe MyersOilersD281997-01-25No219 Lbs6 ft5NoNoNo2Pro & Farm575,000$575,000$155,056$No575,000$
UFA
Link / NHL Link
Sean DurziOilersD271998-10-21No196 Lbs6 ft1NoNoYes3Pro Only5,000,000$5,000,000$1,348,315$No5,000,000$5,000,000$
UFA
Link / NHL Link
Tim StutzleOilersRW232002-01-15No192 Lbs6 ft0YesNoYes7Pro Only1$1$0$No9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2229.14200 Lbs6 ft12.684,039,773$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
88,875,001$72,300,000$59,050,000$36,900,000$34,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brady TkachukBo HorvatTim Stutzle40122
2Jake DeBruskMarco RossiJ.T. Miller30122
3Adam LowryAdam HenriqueMatthew Peca20122
4Mason AppletonJustin DanforthMavrik Bourque10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikhail SergachevJoshua Morrissey40122
2Jacob TroubaNick Seeler30122
3Philippe MyersSean Durzi20122
4Joshua MorrisseyJacob Trouba10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brady TkachukBo HorvatTim Stutzle60122
2Jake DeBruskMarco RossiAdam Lowry40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1J.T. MillerJoshua Morrissey60122
2Jacob TroubaMikhail Sergachev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam HenriqueJ.T. Miller60122
2Adam LowryMason Appleton40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikhail SergachevJoshua Morrissey60122
2Jacob TroubaSean Durzi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1J.T. Miller60122Mikhail SergachevJoshua Morrissey60122
2Adam Lowry40122Jacob TroubaSean Durzi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam LowryJ.T. Miller60122
2Adam HenriqueJake DeBrusk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikhail SergachevJoshua Morrissey60122
2Jacob TroubaSean Durzi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brady TkachukBo HorvatTim StutzleMikhail SergachevJoshua Morrissey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brady TkachukBo HorvatJ.T. MillerMikhail SergachevJoshua Morrissey
Extra Forwards
Normal PowerPlayPenalty Kill
Justin Danforth, Adam Lowry, Matthew PecaJustin Danforth, Matthew PecaMatthew Peca
Extra Defensemen
Normal PowerPlayPenalty Kill
Sean Durzi, Philippe Myers, Mikhail SergachevSean DurziPhilippe Myers, Sean Durzi
Penalty Shots
Tim Stutzle, Brady Tkachuk, Bo Horvat, J.T. Miller, Marco Rossi
Goalie
#1 : Andrei Vasilevskiy, #2 : Antoine Bibeau


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Avalanche21100000743000000000002110000074320.5007121900142080133631049152635700.00%11372.73%01163217353.52%1225225454.35%52594555.56%543841132412
2Blackhawks1000010045-11000010045-10000000000010.50047110012103971414440141419400.00%7185.71%11163217353.52%1225225454.35%52594555.56%2518267125
3BlueJackets211000005501010000024-21100000031220.5005914001310602122170471823391300.00%9188.89%01163217353.52%1225225454.35%52594555.56%513645152311
4Blues3210000013103110000005322110000087140.6671322350044508535272309834307012541.67%14378.57%01163217353.52%1225225454.35%52594555.56%684575213618
5Canadiens11000000303000000000001100000030321.000358011110318121102352125100.00%40100.00%01163217353.52%1225225454.35%52594555.56%2214247126
6Canucks422000001012-22110000056-12110000056-140.500102030002710109324730012535629320630.00%30583.33%01163217353.52%1225225454.35%52594555.56%8757101315023
7Devils11000000321110000003210000000000021.000347001110331491002310626900.00%2150.00%01163217353.52%1225225454.35%52594555.56%2517208137
8Ducks42100001191722110000099021000001108250.6251933520094601183329509109346110618211.11%27581.48%01163217353.52%1225225454.35%52594555.56%956497305125
9Flames32001000945220000006241000100032161.000916250043119832302979018496411436.36%16381.25%01163217353.52%1225225454.35%52594555.56%846162203618
10Flyers21100000743110000005141010000023-120.50071421003400532120120642432426233.33%15193.33%01163217353.52%1225225454.35%52594555.56%452950142411
11GoldenKnights3010110079-21010000024-22000110055030.5007121900042111342462321033838837228.57%18383.33%01163217353.52%1225225454.35%52594555.56%724970213718
12Hurricanes220000001138110000004221100000071641.0001119300054206325221607015124711218.18%6183.33%01163217353.52%1225225454.35%52594555.56%453149162412
13Islanders2020000047-31010000034-11010000013-200.00047110001303971517046152456700.00%12191.67%01163217353.52%1225225454.35%52594555.56%402453162612
14Jets21000001660110000003211000000134-130.750611170022216126181596419274510330.00%10370.00%01163217353.52%1225225454.35%52594555.56%463153142512
15Kings4210010013130210001008712110000056-150.625132437004540104283540112152519710330.00%20480.00%01163217353.52%1225225454.35%52594555.56%956598294923
16Lightning10000010211100000102110000000000021.000224001002331310104401016212150.00%80100.00%01163217353.52%1225225454.35%52594555.56%2315278146
17Mammoth431000001741322000000122102110000052360.75017304702467017248715306428309432618.75%14192.86%01163217353.52%1225225454.35%52594555.56%1188571285028
18MapleLeafs21100000615110000006061010000001-120.5006915013210712725190521126458112.50%13192.31%01163217353.52%1225225454.35%52594555.56%523642142412
19Panthers11000000321110000003210000000000021.00036900102020677025810217228.57%4175.00%01163217353.52%1225225454.35%52594555.56%2215248126
20Penguins1010000014-3000000000001010000014-300.000123000100224144026121827600.00%9455.56%01163217353.52%1225225454.35%52594555.56%2113257126
21Predators1010000025-3000000000001010000025-300.00024600002023610703076245120.00%30100.00%01163217353.52%1225225454.35%52594555.56%2416217136
22Rangers1010000001-11010000001-10000000000000.0000000000002611690337824400.00%4175.00%01163217353.52%1225225454.35%52594555.56%2719207126
23RedWings1010000027-51010000027-50000000000000.0002350011001666403371618000.00%8362.50%01163217353.52%1225225454.35%52594555.56%1811287135
24Sabres22000000734110000004311100000030341.00071219011510741836200832030555120.00%13192.31%01163217353.52%1225225454.35%52594555.56%443051152311
25Senators2010001034-11010000013-21000001021120.50034700002146171015755163839900.00%9188.89%01163217353.52%1225225454.35%52594555.56%453154152511
26Sharks521001102321231100010141222100010099070.70023426500910311645159544185448711330516.67%40977.50%01163217353.52%1225225454.35%52594555.56%12586116386332
27Stars32100000752220000006331010000012-140.667712190032207022192907524556912216.67%20195.00%01163217353.52%1225225454.35%52594555.56%714770223719
28Wild210000101156110000008351000001032141.000111829001542601423197591314439333.33%70100.00%01163217353.52%1225225454.35%52594555.56%493249142613
Total62302002442205164413219900220117882930111102222887612780.629205359564056281569188358767858854183255383014402755118.55%3535883.57%11163217353.52%1225225454.35%52594555.56%150510291479465778389
_Since Last GM Reset62302002442205164413219900220117882930111102222887612780.629205359564056281569188358767858854183255383014402755118.55%3535883.57%11163217353.52%1225225454.35%52594555.56%150510291479465778389
_Vs Conference4120110242214812028201340021082582421770221266624540.65914826341102445842612963894644174312123755509551874222.46%2374182.70%11163217353.52%1225225454.35%52594555.56%1018700958302515258
_Vs Division271370231198801814840011056421413530220142384360.66798177275023239243878266317279237972493786501282821.88%1653081.82%01163217353.52%1225225454.35%52594555.56%678469620200339169

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6278OTL120535956418831832553830144005
All Games
GPWLOTWOTL SOWSOLGFGA
6230202442205164
Home Games
GPWLOTWOTL SOWSOLGFGA
32199022011788
Visitor Games
GPWLOTWOTL SOWSOLGFGA
30111122228876
Last 10 Games
WLOTWOTL SOWSOL
720100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2755118.55%3535883.57%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
587678588546281569
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1163217353.52%1225225454.35%52594555.56%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
150510291479465778389


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
13Oilers3Flames2AWXBoxScore
322Sharks4Oilers3BLBoxScore
537Oilers0Avalanche2ALBoxScore
651Oilers2GoldenKnights1AWXBoxScore
860Ducks8Oilers3BLBoxScore
1079Stars1Oilers3BWBoxScore
1290Kings5Oilers4BLXBoxScore
15112Senators3Oilers1BLBoxScore
17129BlueJackets4Oilers2BLBoxScore
19150Oilers3Blues4ALBoxScore
21161Oilers3GoldenKnights4ALXBoxScore
22162Oilers4Mammoth0AWBoxScore
25190Devils2Oilers3BWBoxScore
27203Rangers1Oilers0BLBoxScore
29218MapleLeafs0Oilers6BWBoxScore
31234Canucks1Oilers3BWBoxScore
34254Oilers3Sabres0AWBoxScore
36266Oilers3BlueJackets1AWBoxScore
38287Oilers2Senators1AWXXBoxScore
39293Oilers0MapleLeafs1ALBoxScore
41307Oilers2Predators5ALBoxScore
43320Ducks1Oilers6BWBoxScore
45334Islanders4Oilers3BLBoxScore
47350Mammoth2Oilers7BWBoxScore
50374Oilers1Islanders3ALBoxScore
51383Oilers7Hurricanes1AWBoxScore
53397Oilers1Penguins4ALBoxScore
57424Sharks4Oilers6BWBoxScore
59442Oilers3Wild2AWXXBoxScore
61455Blackhawks5Oilers4BLXBoxScore
63469Oilers3Canadiens0AWBoxScore
64480Oilers2Flyers3ALBoxScore
71510RedWings7Oilers2BLBoxScore
73518Hurricanes2Oilers4BWBoxScore
74525Flames1Oilers2BWBoxScore
77551Oilers1Canucks4ALBoxScore
79563Sabres3Oilers4BWBoxScore
81577Mammoth0Oilers5BWBoxScore
83592Panthers2Oilers3BWBoxScore
85610Oilers5Sharks4AWBoxScore
87621Oilers5Ducks6ALXXBoxScore
88630Oilers1Kings3ALBoxScore
91652Oilers1Mammoth2ALBoxScore
93669Jets2Oilers3BWBoxScore
95680Sharks4Oilers5BWXXBoxScore
97695Canucks5Oilers2BLBoxScore
99720Lightning1Oilers2BWXXBoxScore
103749Blues3Oilers5BWBoxScore
105766Oilers4Canucks2AWBoxScore
107781Flyers1Oilers5BWBoxScore
108793Oilers3Jets4ALXXBoxScore
110802Oilers7Avalanche2AWBoxScore
112814Flames1Oilers4BWBoxScore
114831Wild3Oilers8BWBoxScore
116846Oilers5Blues3AWBoxScore
118857Oilers1Stars2ALBoxScore
120868GoldenKnights4Oilers2BLBoxScore
122885Kings2Oilers4BWBoxScore
124898Stars2Oilers3BWBoxScore
126912Oilers4Kings3AWBoxScore
128926Oilers5Ducks2AWBoxScore
130955Oilers4Sharks5ALXBoxScore
132968GoldenKnights-Oilers-
133972Oilers-Flames-
1371002Canadiens-Oilers-
1391014Avalanche-Oilers-
1421040Oilers-Panthers-
1441056Oilers-Lightning-
1451062Oilers-Capitals-
1471068Oilers-RedWings-
1491084Blackhawks-Oilers-
1511100Wild-Oilers-
1531109Oilers-Blackhawks-
1541120Oilers-Predators-
1561135Capitals-Oilers-
1581146Penguins-Oilers-
1611160Predators-Oilers-
1631176Bruins-Oilers-
1651194Oilers-Jets-
1681211Oilers-Rangers-
1691216Oilers-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
1741250Oilers-Devils-


Depth Chart
Left WingCenterRight Wing
Brady Tkachuk
Brady Tkachuk
AGE:26
SK:84
EN:85
DU:92
PH:76
PA:70
SC:83
DF:71
Jake DeBrusk
Jake DeBrusk
AGE:29
SK:84
EN:82
DU:99
PH:69
PA:60
SC:78
DF:66
Brock McGinn
Brock McGinn
AGE:31
SK:80
EN:74
DU:61
PH:58
PA:53
SC:63
DF:81
Mason Appleton
Mason Appleton
AGE:29
SK:79
EN:79
DU:92
PH:58
PA:54
SC:62
DF:67
Charles Hudon
Charles Hudon
AGE:31
SK:85
EN:76
DU:66
PH:64
PA:70
SC:54
DF:70
Isac Lundestrom
Isac Lundestrom
AGE:26
SK:78
EN:77
DU:97
PH:53
PA:51
SC:54
DF:76
Zach Sanford
Zach Sanford
AGE:31
SK:75
EN:79
DU:69
PH:50
PA:48
SC:52
DF:66
Sandis Vilmanis (R)
Sandis Vilmanis
AGE:21
SK:86
EN:70
DU:60
PH:43
PA:44
SC:42
DF:55
Noah Laba (R)
Noah Laba
AGE:22
SK:85
EN:60
DU:50
PH:44
PA:35
SC:52
DF:63
Sam Lipkin (R)
Sam Lipkin
AGE:22
SK:86
EN:65
DU:55
PH:36
PA:27
SC:45
DF:52
Matthew Maggio
Matthew Maggio
AGE:23
SK:75
EN:69
DU:59
PH:38
PA:36
SC:40
DF:50
Fabian Wagner (R)
Fabian Wagner
AGE:21
SK:89
EN:60
DU:50
PH:36
PA:28
SC:43
DF:51
Bo Horvat
Bo Horvat
AGE:30
SK:86
EN:89
DU:98
PH:74
PA:69
SC:78
DF:74
Marco Rossi
Marco Rossi
AGE:24
SK:91
EN:85
DU:99
PH:75
PA:76
SC:74
DF:70
Adam Lowry
Adam Lowry
AGE:32
SK:78
EN:80
DU:93
PH:64
PA:60
SC:68
DF:82
Adam Henrique
Adam Henrique
AGE:35
SK:80
EN:79
DU:98
PH:59
PA:55
SC:62
DF:79
Justin Danforth
Justin Danforth
AGE:32
SK:82
EN:79
DU:85
PH:59
PA:56
SC:62
DF:76
Nathan Walker
Nathan Walker
AGE:31
SK:80
EN:75
DU:93
PH:54
PA:49
SC:59
DF:70
Mattias Janmark
Mattias Janmark
AGE:33
SK:76
EN:77
DU:98
PH:54
PA:56
SC:52
DF:71
Craig Smith
Craig Smith
AGE:36
SK:79
EN:74
DU:83
PH:58
PA:53
SC:63
DF:68
Tyson Kozak
Tyson Kozak
AGE:23
SK:80
EN:72
DU:57
PH:55
PA:48
SC:62
DF:71
Ryan Carpenter
Ryan Carpenter
AGE:34
SK:76
EN:81
DU:71
PH:53
PA:54
SC:52
DF:56
Caedan Bankier
Caedan Bankier
AGE:22
SK:75
EN:77
DU:67
PH:41
PA:37
SC:44
DF:50
J.T. Miller
J.T. Miller
AGE:32
SK:91
EN:85
DU:92
PH:85
PA:95
SC:75
DF:82
Tim Stutzle
Tim Stutzle
AGE:23
SK:94
EN:87
DU:99
PH:85
PA:95
SC:74
DF:72
Matthew Peca
Matthew Peca
AGE:32
SK:85
EN:77
DU:67
PH:63
PA:59
SC:67
DF:70
Mavrik Bourque
Mavrik Bourque
AGE:23
SK:82
EN:76
DU:93
PH:59
PA:56
SC:62
DF:70
Kevin Labanc
Kevin Labanc
AGE:30
SK:82
EN:72
DU:66
PH:59
PA:64
SC:55
DF:67
Nail Yakupov
Nail Yakupov
AGE:32
SK:77
EN:60
DU:50
PH:50
PA:52
SC:47
DF:50
Ryan Hofer
Ryan Hofer
AGE:23
SK:75
EN:60
DU:50
PH:33
PA:28
SC:38
DF:65

Defense #1Defense #2Goalie
Mikhail Sergachev
Mikhail Sergachev
AGE:27
SK:86
EN:92
DU:96
PH:77
PA:80
SC:74
DF:85
Joshua Morrissey
Joshua Morrissey
AGE:30
SK:91
EN:90
DU:98
PH:80
PA:89
SC:72
DF:78
Jacob Trouba
Jacob Trouba
AGE:31
SK:75
EN:84
DU:96
PH:53
PA:54
SC:52
DF:85
Nick Seeler
Nick Seeler
AGE:32
SK:77
EN:79
DU:96
PH:56
PA:58
SC:55
DF:87
Sean Durzi
Sean Durzi
AGE:27
SK:82
EN:84
DU:64
PH:63
PA:59
SC:66
DF:79
Philippe Myers
Philippe Myers
AGE:28
SK:75
EN:77
DU:68
PH:52
PA:47
SC:57
DF:73
Urho Vaakanainen
Urho Vaakanainen
AGE:26
SK:78
EN:77
DU:78
PH:59
PA:63
SC:55
DF:70
Erik Gustafsson
Erik Gustafsson
AGE:33
SK:80
EN:77
DU:84
PH:58
PA:62
SC:54
DF:62
Marc-Edouard Vlasic
Marc-Edouard Vlasic
AGE:38
SK:75
EN:74
DU:62
PH:50
PA:46
SC:55
DF:71
Nikita Okhotyuk
Nikita Okhotyuk
AGE:25
SK:76
EN:55
DU:50
PH:52
PA:53
SC:52
DF:70
Scott Perunovich
Scott Perunovich
AGE:27
SK:82
EN:77
DU:67
PH:57
PA:56
SC:57
DF:69
Kale Clague
Kale Clague
AGE:27
SK:77
EN:73
DU:68
PH:51
PA:54
SC:48
DF:63
Kevin Korchinski
Kevin Korchinski
AGE:21
SK:76
EN:78
DU:54
PH:51
PA:45
SC:58
DF:66
Michael Buchinger (R)
Michael Buchinger
AGE:21
SK:86
EN:55
DU:50
PH:33
PA:31
SC:35
DF:50
Andrei Vasilevskiy
Andrei Vasilevskiy
AGE:31
SK:94
AG:94
RB:94
SC:94
HS:93
RT:92
DF:91
Chris Driedger
Chris Driedger
AGE:31
SK:80
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Antoine Bibeau
Antoine Bibeau
AGE:31
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Olivier Rodrigue
Olivier Rodrigue
AGE:25
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Zachary Emond
Zachary Emond
AGE:25
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Prospects
Filter Tips
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
Prospect Team NameDraft Year Overall Pick Information Lien
Aidan HreschukOilers2035107
Albert SjobergOilers2036169
Alex BumpOilers2036156
Arsenii SergeevOilers2036190
Daniil OrlovOilers2036135
Dans LocmelisOilers2036134
Dmitri RashevskyOilers2035156
Eric JamiesonOilers2038190
Graham SwardOilers2036151
Jake KarabelaOilers2036157
Jake RichardOilers2036200
Jakub FibigrOilers2038217
Jakub VondrasOilers2036201
Jesper EliassonOilers203279
Joe VrbeticOilers2036189
Joel NystromOilers2036171
Joey MuldowneyOilers2036202
Ludvig JanssonOilers2036138
Luke DevlinOilers2036213
Marc-Andre GaudetOilers2036159
Maxim BarbashevOilers2036143
Nikita GuslistovOilers2036166
Roman ShokhrinOilers2038198
Ryann O'ReillyOilers203283
Taige HardingOilers2035105

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2041
2042



Oilers Stat Leaders (Regular Season)
# Player Name 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
1Ryan Getzlaf708303504807-13133624231744268311.29%3181661123.46771812585461141566461953.58%80.971166
2Thomas Vanek1042329415744-443206051336296711.09%1712094420.109015624669142649401836.30%90.712063
3Aaron Johnson147826745372019126717811783240811.09%7612329215.7633629522512152772371348.40%30.62127
4Nicklas Backstrom791275433708-6945511062335241511.39%2981781722.5379142221520861486362352.89%50.791779
5Niklas Kronvall815147390537-955451174137416329.01%12052071425.428012720784011213222790.00%00.5214

Oilers Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1James Howard680302307510.8983.183918610027207620329150417120.752238
2Linus Ullmark82592010.9062.7348100321923250400.72711
3Darcy Kuemper173536580.9003.23839729745245170620.72948
4Thatcher Demko81532440.9042.7848574422523470500.75028
5Marc-Andre Fleury82492570.9102.75491021122525081015630.84846

Oilers Career Team Stats
OverallHomeVisitor
Year 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
Regular Season
201782343802413279297-1841191701310148142641152101103131155-24762794577360007210896241206988938082632852131618412593814.67%3246181.17%13857186945.85%921200545.94%696144348.23%165989519268591543756
201882323802334209235-264115180132295115-2041172001012114120-671209328537010548268241807348777862480823122019282223415.32%2565877.34%51047197553.01%995188252.87%689130552.80%1790101516567461512762
201982323300557235253-1841181300532121120141142000025114133-1969235384619200678974258908518608552643808105319792433815.64%2103284.76%71116208453.55%1028202850.69%679123255.11%1836107516837291468747
202082412801156286256304122150111113311914411913000451531371685286462748310899596276309289169062551790118319002496325.30%2373684.81%61168210055.62%1105205353.82%702130853.67%1874112516557251445731
20218237300333625624610412214011211341072741151602215122139-178325645170707093867126070898849827252775596918574237517.73%4137681.60%41676313753.43%1609310751.79%620122150.78%1958134720026181021503
202282413303230285229564124130211015010248411720011201351278902855037883801108485267709218838532515673101517324508518.89%3836583.03%21681317153.01%1521298051.04%672128552.30%2015139619096081023519
202382264602161267309-4241112402121132159-2741152200040135150-155726746172822099798124400859745817262573688718274417617.23%3959575.95%51454289150.29%1388297446.67%660136248.46%2016141419286081016506
202482373202524256247941191700311123129-6411815022131331181591256457713140968868225607707697002484748100416884378118.54%4047880.69%21421277151.28%1502293151.25%660129451.00%2029140819116111032519
202582353703025260267-741191900003122127-541161803022138140-285260453713040958971230407977117832392771102616424426915.61%4058180.00%41466286551.17%1461282751.68%641125651.04%2048142418836131029522
202682224501266242316-7441132100223122162-404192401043120154-3466242422664110858565215907377096852757811108118574108520.73%48210678.01%41374272750.39%1555317249.02%669130851.15%1955134120056131026513
202782274302262213251-3841141901232104125-2141132401030109126-1774213368581160767059207807347196032687777101617834016716.71%4559279.78%41360266151.11%1516311948.61%639123351.82%1920131020316171020500
203082125601373163298-135416260115288144-56416300022175154-794616328144420063553719630614682648277779297717853955513.92%43511174.48%11286259749.52%1490318146.84%616124549.48%1841123821016361037501
203182175702303226374-1484192901101113186-734182801202113188-754422641464021094775322820701808762298283592219143837519.58%4039177.42%41194273243.70%1257304241.32%557133641.69%1772118221486181019488
203282224603326255331-7641122102105135166-3141102501221120165-456325544570012085957024540805802817272982792319174117117.27%4108679.02%41208288541.87%1242301641.18%556136040.88%1907129120196231048515
203382194605327230298-684182202225111147-3641112403102119151-326223040463424085776123110730778778289884398718264258720.47%4158679.28%31398288048.54%1473324945.34%576132143.60%1862125220776311039504
203482175103254206317-1114172402233114158-444110270102192159-675620636457012075616223440730799791309792199518263865714.77%4258679.76%11374281948.74%1490328945.30%590126646.60%1761116121836371032490
203582125901334232381-1494143001132109185-764182900202123196-733923240864040081697824140829767800298982291919193987518.84%3959775.44%11441290749.57%1401296947.19%729140951.74%1828123020846201044503
203682956041012262434-1724172700412133214-814122904600129220-9140262476738020967388245108297608242948860116720003878020.67%51714671.76%61550284354.52%1472288750.99%778146453.14%1860125020686211047506
20378254220302133422810641281002010177106714126120101115712235119334592926031191149682798958912916242402636113219804258720.47%4638082.72%31736308756.24%1619293655.14%742130356.95%2103148018295881009523
2038824523054322982346441241003202156122344121130223014211230112298527825049910091112601854857866452371653111218064208921.19%4677384.37%91661298455.66%1546286953.89%719129555.52%2090146018525981017521
20396230200244220516441321990022011788293011110222288761278205359564056281569188358767858854183255383014402755118.55%3535883.57%11163217353.52%1225225454.35%52594555.56%150510291479465778389
Total Regular Season170260183905063717851995965-76685232039802338353826372923-28685028144102725364025623042-480150651999016142152557280181017051311502042399166121669714166553181628621734384477882143818.24%8247169479.46%89286315615850.98%288165877049.03%137152719150.44%396382633540439133922321311525
Playoff
202023167000007854241174000004133812930000037211632781292070001530318070257236282662217359579781215.38%631182.54%034064952.39%27454250.55%17834551.59%556333476219431215
2021514000001621-52110000077030300000914-521627430005551930735264197625112125624.00%23386.96%013523158.44%9120743.96%509453.19%11881129356331
2022734000001317-43120000047-342200000910-161322350105441980746262243578516138923.68%34779.41%011123647.03%14428550.53%509950.51%159107174528642
2025514000001119-82110000066030300000513-821119300006231220493835184409411527311.11%361072.22%17614751.70%9819051.58%357844.87%10772130386229
20379540000037334422000001514153200000221931037619800813151304891068623306101147256451022.22%591377.97%017634351.31%16735846.65%8816353.99%2261572247011859
2038624000001420-630300000714-73210000076141425390172501586058391170508213225624.00%31874.19%19618452.17%11021650.93%448551.76%14297145457739
Total Playoff552827000001691645251213000008081-130161400000898365616928345202154661441782149617513467176252781813642384619.33%2465278.86%2934179052.18%884179849.17%44586451.50%13108481281462839417

Oilers Stat Leaders (Play-Off)
# Player Name 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
1Ryan Getzlaf402121420471317215713.38%1897224.3288163310185156.50%10.8600
2Ryan Kesler35102030-953801061228.20%1378122.3428102000031055.24%00.7700
3Thomas Vanek40161430220373713312.03%1380820.224481900003232.56%00.7400
4Nicklas Backstrom3382230142546851037.77%1665619.901451701151151.61%00.9100
5Niklas Kronvall40620268436560847.14%50109727.43134250001110.00%00.4700

Oilers Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Marc-Andre Fleury2316340.9182.2214630054662275400.0000
2James Howard1751110.9073.3899521566020100.0000
3Linus Ullmark85300.8973.3150800282710000.0000
4Jesper Wallstedt72410.8663.8139401251870000.0000
5Darcy Kuemper10000.9551.8233001220000.0000