Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
Oilers
9-6-1, 19pts
7
FINAL
2 Lightning
1-13-2, 4pts
Team Stats
W2StreakL4
4-2-0Home Record0-7-2
5-4-1Away Record1-6-0
7-3-0Last 10 Games1-8-1
3.19Goals Per Game2.50
3.25Goals Against Per Game5.63
20.45%Power Play Percentage13.64%
83.15%Penalty Kill Percentage68.92%
Oilers
9-6-1, 19pts
4
FINAL
2 Panthers
4-8-0, 8pts
Team Stats
W2StreakL1
4-2-0Home Record0-5-0
5-4-1Away Record4-3-0
7-3-0Last 10 Games3-7-0
3.19Goals Per Game2.50
3.25Goals Against Per Game3.58
20.45%Power Play Percentage14.00%
83.15%Penalty Kill Percentage85.71%
Avalanche
4-11-0, 8pts
Day 39
Oilers
9-6-1, 19pts
Team Stats
W1StreakW2
3-3-0Home Record4-2-0
1-8-0Away Record5-4-1
3-7-0Last 10 Games7-3-0
2.67Goals Per Game3.19
3.87Goals Against Per Game3.25
13.43%Power Play Percentage20.45%
86.76%Penalty Kill Percentage83.15%
Canadiens
9-6-1, 19pts
Day 41
Oilers
9-6-1, 19pts
Team Stats
W2StreakW2
5-4-0Home Record4-2-0
4-2-1Away Record5-4-1
7-2-1Last 10 Games7-3-0
3.06Goals Per Game3.19
2.69Goals Against Per Game3.25
29.11%Power Play Percentage20.45%
82.35%Penalty Kill Percentage83.15%
Oilers
9-6-1, 19pts
Day 45
Flames
3-12-1, 7pts
Team Stats
W2StreakL1
4-2-0Home Record3-4-0
5-4-1Away Record0-8-1
7-3-0Last 10 Games3-6-1
3.19Goals Per Game2.31
3.25Goals Against Per Game4.63
20.45%Power Play Percentage17.24%
83.15%Penalty Kill Percentage76.83%
Team Leaders
Timo MeierGoals
Timo Meier
7
Jamie BennAssists
Jamie Benn
12
Jamie BennPoints
Jamie Benn
18
Josh MansonPlus/Minus
Josh Manson
5
Thatcher DemkoWins
Thatcher Demko
11
Thatcher DemkoSave Percentage
Thatcher Demko
0.889

Team Stats
Goals For
51
3.19 GFG
Shots For
454
28.38 Avg
Power Play Percentage
20.5%
18 GF
Offensive Zone Start
42.3%
Goals Against
52
3.25 GAA
Shots Against
448
28.00 Avg
Penalty Kill Percentage
83.1%
15 GA
Defensive Zone Start
40.8%
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
Attendance22,885
Season Tickets10,000
Roster Info
Pro Team20
Farm Team27
Contract Limit47 / 50
Prospects34
Salary Cap
Estimated Season Salary Cap84,268,787$
Available Salary Cap731,213$
Special Salary Cap Value0$
Players In Salary Cap20
Finance
Year to Date Revenue11,098,745$
Year To Date Expenses17,204,490$
Estimated Season Revenue64,742,679$
Estimated Season Expenses68,564,211$
Current Bank Account157,976,742$
Projected Bank Account150,722,883$
Team History
This Season9-6-1 (19PTS)
History642-802-119 (0.411%)
Playoff Appearances5
Playoff Record (W-L)26-23
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
1Mika ZibanejadX100.0054518390668798818487769281868735307903121$
2Brady TkachukX100.0099745787828798828877877453748165207802568,000,000$
3Tim StutzleX99.0071488392609094838297707090687980307702289,000,000$
4Bo HorvatX99.0058558089708798798975837573828545307602929,000,000$
5Jamie BennX100.0071548086688099759679717971948715307503526,750,000$
6Timo MeierX100.0078577787738490768469836562808250307402815,000,000$
7Alexander KerfootX100.0061448486528499688372638599848440307203012,900,000$
8Adam LowryX100.0092737678768298638463628840868435307203123,500,000$
9Mathieu JosephX100.0074497683568292654067638540788055307002743,500,000$
10Brett LeasonX100.0068588675807789584053638240747665306702511,120,000$
11Yakov TreninX100.0099567976667995548045638040787955306702721,750,000$
12Ryan CarpenterX100.005849887662738553834957794090822532640333575,000$
13Joshua MorrisseyX100.0066477992599098824099658040828645307802914,400,000$
14Josh MansonX100.0099696778767995614058638740908525307603333,975,000$
15Jacob TroubaX100.0099626977728590594063558740848540337503045,000,000$
16Mikhail SergachevX100.0065548182738766694081577673768260307202636,600,000$
17Sean DurziX100.0054507386598795704075657840768260307202613,000,000$
18Owen PowerX100.005460837784889564406960809068788030720222925,000$
Scratches
Farm Team
1Nathan WalkerX100.008951828149727457405163744084784030640303575,000$
2Pierre-Edouard BellemareX100.005247877758717052894658874099850226303922,000,000$
3Zach SanfordX100.005954867572736353705750744084794024620303575,000$
4Kevin LabancX100.0071448379527475534052546181827845246102912,000,000$
5Riley TufteX100.0061596375887666534047587040767660246102611,000,000$
6Samuel PoulinX100.006354737672605056705062707370657524600231925,000$
7Will LockwoodX100.008958787650696147404350634076736024570261910,000$
8Joakim KemellX100.006354837755766650405150584064709024570202925,000$
9Nail YakupovX100.0081468377576050504052475040867335245603122,000,000$
10Jordan WealX100.0052417983476050598945505040887430245603222,000,000$
11Semyon Der-ArguchintsevX100.003938848340605058704650554072667022550241825,000$
12Marc McLaughlinX100.007248837564776733702740584074766522530251825,000$
13Philippe MyersX100.009959687580656042404638704078725524640273575,000$
14Kevin Korchinski (R)X100.004846857856829554405158634064739024630203925,000$
15Cole ClaytonX100.006560797565635841404140694072687024600241825,000$
16Dmitri SamorukovX100.0049668175616863364033406740747165245802511,130,000$
17Nathan LaroseX100.005548857561555032402736504070637524520231925,000$
18Matthew Maggio (R)X100.005556838953706043403552574068698019550223925,000$
19Caedan Bankier (R)X100.005548818561605043703651504066638520530213925,000$
20Matej PekarX100.0066535775566050397049305740726670205202411,017,500$
21Ryan Hofer (R)X100.005751848263605033402838654068648020510223925,000$
22Dominik BokkX100.0061488575586050384038385040726670205002411,018,000$
23Tyson KozakX100.005050837549605037703440554068648020500222925,000$
24Declan McDonnellX100.005061837540605030403030504068648020460221770,000$
TEAM AVERAGE99.95675479806374745658555569507776572664
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
1Thatcher Demko100.009292999193878989888899828545248702955,575,000$
2Alexandar Georgiev100.008799998371716871667393807650377502854,000,000$
Scratches
Farm Team
1Jesper Wallstedt (R)100.00777582956156576059614068628028650222925,000$
2Kyle Keyser100.00755060865050505050508274626528570251825,000$
3Hunter Jones100.007550609350505050505040726170205702411,017,500$
TEAM AVERAGE100.0081738090656363646364717569622768
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kris Knoblauch84909682757580CAN4651,500,000$


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
1Jamie BennOilersC1661218460103739102915.38%229318.3744818681013380257.75%35500001.2300000211
2Timo MeierOilersRW167815314027735101920.00%025115.704481369000001145.83%2400001.1900000121
3Mikhail SergachevOilersD1621214-312011141241116.67%1229518.472791064011035000.00%000000.9500000002
4Tim StutzleOilersRW1641014-4180291536172111.11%232820.56033877000071055.56%2700000.8500000021
5Mika ZibanejadOilersLW166814-3007246728558.96%630419.010332876000090146.15%3900000.9200000300
6Bo HorvatOilersC166612-40074145113613.33%134521.6011213770000241056.82%44000000.6900000110
7Joshua MorrisseyOilersD161910-1206312613123.85%1741125.741341776000078000.00%000000.4900000000
8Alexander KerfootOilersLW16448000082571916.00%122714.22134872000093037.50%800000.7000000000
9Sean DurziOilersD1644801601262561416.00%928818.03235146600009100.00%000000.5500000101
10Brady TkachukOilersLW11426040103543482411.76%118817.112131047000000037.50%1600000.6400002101
11Josh MansonOilersD16066530059792100.00%2129918.7101105000063000.00%000000.4000000000
12Adam LowryOilersC16145-318027372410174.17%223414.64000190001791053.00%31700000.4300000001
13Jacob TroubaOilersD16145-435551711639.09%3330018.7900027000058100.00%000000.3300100000
14Owen PowerOilersD16145-61007791611.11%1725415.89101110011067000.00%000000.3900000000
15Mathieu JosephOilersRW16213-2001017246188.33%224215.150112160001880030.77%1300000.2500000000
16Brett LeasonOilersRW16101-200261021210.00%2915.7200003000000025.00%400000.2200000000
17Yakov TreninOilersLW1610104020471714.29%31469.14000010001400059.09%2200000.1400000000
18Nathan WalkerBaronsOKC (Edm)LW5000020536210.00%0306.1800000000000050.00%200000.0000000000
19Ryan CarpenterOilersC14000-2001139460.00%1815.8300000000020059.21%7600000.0000000000
20Pierre-Edouard BellemareBaronsOKC (Edm)LW2000000001000.00%0168.210000000006000.00%000000.0000000000
Team Total or Average2885194145-222071532628845414832011.23%132463216.0918345214574912366239455.10%134300000.6300102968
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
1Thatcher DemkoOilers1811700.8893.23104241565050000.8336180110
2Alexandar GeorgievOilers30000.7506.3847005200000.0000016000
Team Total or Average2111700.8843.36108941615250000.83361816110


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 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Adam LowryOilersC311993-03-29No210 Lbs6 ft5NoNoYes2Pro & Farm3,500,000$3,500,000$2,788,136$No3,500,000$
UFA
Link / NHL Link
Alexandar GeorgievOilersG281996-02-10No180 Lbs6 ft1NoNoYes5Pro & Farm4,000,000$4,000,000$3,186,441$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Alexander KerfootOilersLW301994-08-11No186 Lbs5 ft11NoNoYes1Pro & Farm2,900,000$2,900,000$2,310,169$No
UFA
Link / NHL Link
Bo HorvatOilersC291995-04-05No213 Lbs6 ft1NoNoYes2Pro Only9,000,000$9,000,000$7,169,492$No9,000,000$
UFA
Link / NHL Link
Brady TkachukOilersLW251999-09-16No225 Lbs6 ft4NoNoYes6Pro Only8,000,000$8,000,000$6,372,881$No8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$
UFA
Link / NHL Link
Brett LeasonOilersRW251999-04-30No218 Lbs6 ft5NoNoNo1Pro & Farm1,120,000$1,120,000$892,203$No
RFA
Link / NHL Link
Jacob TroubaOilersD301994-02-26No209 Lbs6 ft3NoNoYes4Pro Only5,000,000$5,000,000$3,983,051$No5,000,000$5,000,000$5,000,000$
UFA
Link / NHL Link
Jamie BennOilersC351989-07-18No205 Lbs6 ft2NoNoYes2Pro Only6,750,000$6,750,000$5,377,119$No6,750,000$
UFA
Link / NHL Link
Josh MansonOilersD331991-10-07No218 Lbs6 ft3NoNoYes3Pro & Farm3,975,000$3,975,000$3,166,525$No3,975,000$3,975,000$
UFA
Link / NHL Link
Joshua MorrisseyOilersD291995-03-28No195 Lbs6 ft0NoNoYes1Pro & Farm4,400,000$4,400,000$3,505,085$No
UFA
Link / NHL Link
Mathieu JosephOilersRW271997-02-09No186 Lbs6 ft1NoNoYes4Pro & Farm3,500,000$3,500,000$2,788,136$No3,500,000$3,500,000$3,500,000$
UFA
Link / NHL Link
Mika ZibanejadOilersLW311993-04-18No201 Lbs6 ft2YesNoYes2Pro Only1$1$1$No10,000,000$
UFA
Link / NHL Link
Mikhail SergachevOilersD261998-06-25No211 Lbs6 ft3NoNoYes3Pro Only6,600,000$6,600,000$5,257,627$No6,600,000$6,600,000$
UFA
Link / NHL Link
Owen PowerOilersD222002-11-22No221 Lbs6 ft6NoNoNo2Pro & Farm925,000$925,000$736,864$No925,000$
RFA
Link / NHL Link
Ryan CarpenterOilersC331991-01-18No198 Lbs6 ft1NoNoNo3Pro & Farm575,000$575,000$458,051$No575,000$575,000$
UFA
Link / NHL Link
Sean DurziOilersD261998-10-21No195 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$2,389,831$No
RFA
Link / NHL Link
Thatcher DemkoOilersG291995-12-08No195 Lbs6 ft4NoNoYes5Pro Only5,575,000$5,575,000$4,441,102$No5,575,000$5,575,000$5,575,000$5,575,000$
UFA
Link / NHL Link
Tim StutzleOilersRW222002-01-15No197 Lbs6 ft0NoNoNo8Pro Only9,000,000$9,000,000$7,169,492$No9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$Link / NHL Link
Timo MeierOilersRW281996-10-08No220 Lbs6 ft1NoNoYes1Pro Only5,000,000$5,000,000$3,983,051$No
UFA
Link / NHL Link
Yakov TreninOilersLW271997-01-13No201 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$1,750,000$1,394,068$No1,750,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2028.30204 Lbs6 ft22.904,228,500$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
84,570,001$78,150,000$46,225,000$35,075,000$26,575,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brady TkachukBo HorvatTim Stutzle40122
2Mika ZibanejadJamie BennTimo Meier30122
3Alexander KerfootAdam LowryMathieu Joseph20122
4Yakov TreninRyan CarpenterBrett Leason10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joshua MorrisseyJosh Manson40122
2Sean DurziJacob Trouba30122
3Mikhail SergachevOwen Power20122
4Joshua MorrisseySean Durzi10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brady TkachukBo HorvatTim Stutzle60122
2Alexander KerfootJamie BennTimo Meier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joshua MorrisseyMika Zibanejad60122
2Mikhail SergachevSean Durzi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam LowryMathieu Joseph60122
2Jamie BennYakov Trenin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joshua MorrisseyJosh Manson60122
2Jacob TroubaOwen Power40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mika Zibanejad60122Joshua MorrisseyJosh Manson60122
2Bo Horvat40122Jacob TroubaOwen Power40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jamie BennMathieu Joseph60122
2Adam LowryAlexander Kerfoot40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean DurziOwen Power60122
2Jacob TroubaMikhail Sergachev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brady TkachukBo HorvatTim StutzleJoshua MorrisseySean Durzi
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mika ZibanejadBo HorvatTim StutzleJoshua MorrisseyJosh Manson
Extra Forwards
Normal PowerPlayPenalty Kill
Adam Lowry, Alexander Kerfoot, Mathieu JosephAdam Lowry, Alexander KerfootBo Horvat
Extra Defensemen
Normal PowerPlayPenalty Kill
Sean Durzi, Owen Power, Mikhail SergachevOwen PowerMikhail Sergachev, Sean Durzi
Penalty Shots
Alexander Kerfoot, Tim Stutzle, Mika Zibanejad, Bo Horvat, Jamie Benn
Goalie
#1 : Thatcher Demko, #2 : Alexandar Georgiev


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
1Blackhawks22000000945110000006331100000031241.000917260052205423171406817263210330.00%13284.62%031156654.95%30954656.59%12022752.86%483245152513
2Bruins2010100046-21010000014-31000100032120.50048120000314611122125410354310220.00%10190.00%031156654.95%30954656.59%12022752.86%483249152311
3Capitals21100000321110000002021010000012-120.5003690110205119161604416223510110.00%10190.00%031156654.95%30954656.59%12022752.86%513444152412
4Devils1000010045-1000000000001000010045-110.50048120013004117915028612188225.00%60100.00%031156654.95%30954656.59%12022752.86%2517228126
5Jets1010000028-6000000000001010000028-600.0002460000203261412031121619400.00%8187.50%031156654.95%30954656.59%12022752.86%2215247125
6Lightning11000000725000000000001100000072521.0007121900412032154130347162833100.00%8275.00%031156654.95%30954656.59%12022752.86%2315257115
7Panthers11000000422000000000001100000042221.0004711001300421320901699278112.50%2150.00%031156654.95%30954656.59%12022752.86%2820197126
8Penguins1010000025-31010000025-30000000000000.00023500002030117120197423300.00%20100.00%031156654.95%30954656.59%12022752.86%2518226126
9Predators21001000963100010004311100000053241.000916250052114217121217121284614535.71%13376.92%031156654.95%30954656.59%12022752.86%483246142512
10Rangers1010000012-1000000000001010000012-100.0001230010002810108030111420400.00%6183.33%031156654.95%30954656.59%12022752.86%2617207126
11RedWings1010000017-6000000000001010000017-600.00012300001023689034101412500.00%7357.14%031156654.95%30954656.59%12022752.86%2215258126
12Wild11000000532110000005320000000000021.00059140001403391014019615239111.11%40100.00%131156654.95%30954656.59%12022752.86%2820196127
Total1676021005152-163201000201821044011003134-3190.59451941450118121924541471491553448132211326881820.45%891583.15%131156654.95%30954656.59%12022752.86%39827236412019899
_Since Last GM Reset1676021005152-163201000201821044011003134-3190.59451941450118121924541471491553448132211326881820.45%891583.15%131156654.95%30954656.59%12022752.86%39827236412019899
_Vs Conference6410100025214320010001596321000001012-2100.83325467100105911615553521189568512037924.32%38684.21%131156654.95%30954656.59%12022752.86%147100137447639

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1619W2519414545444813221132601
All Games
GPWLOTWOTL SOWSOLGFGA
167621005152
Home Games
GPWLOTWOTL SOWSOLGFGA
63210002018
Visitor Games
GPWLOTWOTL SOWSOLGFGA
104411003134
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
881820.45%891583.15%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
14714915531812192
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
31156654.95%30954656.59%12022752.86%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
39827236412019899


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
423Oilers4Devils5ALXBoxScore
945Oilers3Bruins2AWXBoxScore
1066Oilers1Rangers2ALBoxScore
1385Oilers2Jets8ALBoxScore
1592Bruins4Oilers1BLBoxScore
17104Predators3Oilers4BWXBoxScore
20125Penguins5Oilers2BLBoxScore
22140Capitals0Oilers2BWBoxScore
24154Oilers5Predators3AWBoxScore
25161Oilers3Blackhawks1AWBoxScore
27172Wild3Oilers5BWBoxScore
29182Blackhawks3Oilers6BWBoxScore
31197Oilers1RedWings7ALBoxScore
33214Oilers1Capitals2ALBoxScore
34222Oilers7Lightning2AWBoxScore
36230Oilers4Panthers2AWBoxScore
39254Avalanche-Oilers-
41266Canadiens-Oilers-
45294Oilers-Flames-
46306GoldenKnights-Oilers-
48317Oilers-Sharks-
50332Oilers-Ducks-
52359Oilers-Kings-
54369Stars-Oilers-
56384Kings-Oilers-
58397GoldenKnights-Oilers-
60413Oilers-Stars-
62428Oilers-Blues-
64442Wild-Oilers-
66456Flames-Oilers-
68469Oilers-Avalanche-
70486Oilers-Jets-
71490Flyers-Oilers-
73510Oilers-Canucks-
75521Blues-Oilers-
79551Lightning-Oilers-
81569Canucks-Oilers-
83588Sharks-Oilers-
85607Jets-Oilers-
87615Oilers-Coyotes-
90638Oilers-Kings-
91645Oilers-Ducks-
93662Oilers-Sharks-
95673Panthers-Oilers-
97690Coyotes-Oilers-
99706Sabres-Oilers-
101725Oilers-Canucks-
104743Flames-Oilers-
105752Hurricanes-Oilers-
107762RedWings-Oilers-
114798Oilers-Flyers-
115803Oilers-Canadiens-
117812Blackhawks-Oilers-
119829Oilers-Wild-
121841Sharks-Oilers-
125876Oilers-Penguins-
127890Oilers-Hurricanes-
128897Oilers-Islanders-
131918Coyotes-Oilers-
133930Islanders-Oilers-
135948Ducks-Oilers-
137964Oilers-Predators-
139983Oilers-MapleLeafs-
140989Oilers-Senators-
1421001Oilers-BlueJacket-
1441017Oilers-Sabres-
1471038Canucks-Oilers-
1491053MapleLeafs-Oilers-
1511067Rangers-Oilers-
1531080Devils-Oilers-
1561099Oilers-Coyotes-
1571117Oilers-GoldenKnights-
1591131Oilers-Blues-
1611140BlueJacket-Oilers-
1631153Senators-Oilers-
1661180Kings-Oilers-
1681192Stars-Oilers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701205Ducks-Oilers-
1721228Oilers-GoldenKnights-
1731232Oilers-Avalanche-
1751245Sharks-Oilers-
1771259Oilers-Flames-


Depth Chart
Left WingCenterRight Wing
Mika Zibanejad
Mika Zibanejad
AGE:31
SK:90
EN:87
DU:98
PH:81
PA:87
SC:76
DF:92
Brady Tkachuk
Brady Tkachuk
AGE:25
SK:87
EN:87
DU:98
PH:82
PA:77
SC:87
DF:74
Alexander Kerfoot
Alexander Kerfoot
AGE:30
SK:86
EN:84
DU:99
PH:68
PA:72
SC:63
DF:85
Yakov Trenin
Yakov Trenin
AGE:27
SK:76
EN:79
DU:95
PH:54
PA:45
SC:63
DF:80
Nathan Walker
Nathan Walker
AGE:30
SK:81
EN:72
DU:74
PH:57
PA:51
SC:63
DF:74
Pierre-Edouard Bellemare
Pierre-Edouard Bellemare
AGE:39
SK:77
EN:71
DU:70
PH:52
PA:46
SC:58
DF:87
Zach Sanford
Zach Sanford
AGE:30
SK:75
EN:73
DU:63
PH:53
PA:57
SC:50
DF:74
Riley Tufte
Riley Tufte
AGE:26
SK:75
EN:76
DU:66
PH:53
PA:47
SC:58
DF:70
Matthew Maggio (R)
Matthew Maggio
AGE:22
SK:89
EN:70
DU:60
PH:43
PA:35
SC:52
DF:57
Dominik Bokk
Dominik Bokk
AGE:24
SK:75
EN:60
DU:50
PH:38
PA:38
SC:38
DF:50
Bo Horvat
Bo Horvat
AGE:29
SK:89
EN:87
DU:98
PH:79
PA:75
SC:83
DF:75
Jamie Benn
Jamie Benn
AGE:35
SK:86
EN:80
DU:99
PH:75
PA:79
SC:71
DF:79
Adam Lowry
Adam Lowry
AGE:31
SK:78
EN:82
DU:98
PH:63
PA:63
SC:62
DF:88
Ryan Carpenter
Ryan Carpenter
AGE:33
SK:76
EN:73
DU:85
PH:53
PA:49
SC:57
DF:79
Samuel Poulin
Samuel Poulin
AGE:23
SK:76
EN:60
DU:50
PH:56
PA:50
SC:62
DF:70
Jordan Weal
Jordan Weal
AGE:32
SK:83
EN:60
DU:50
PH:59
PA:45
SC:50
DF:50
Semyon Der-Arguchintsev
Semyon Der-Arguchintsev
AGE:24
SK:83
EN:60
DU:50
PH:58
PA:46
SC:50
DF:55
Caedan Bankier (R)
Caedan Bankier
AGE:21
SK:85
EN:60
DU:50
PH:43
PA:36
SC:51
DF:50
Marc McLaughlin
Marc McLaughlin
AGE:25
SK:75
EN:77
DU:67
PH:33
PA:27
SC:40
DF:58
Matej Pekar
Matej Pekar
AGE:24
SK:75
EN:60
DU:50
PH:39
PA:49
SC:30
DF:57
Tyson Kozak
Tyson Kozak
AGE:22
SK:75
EN:60
DU:50
PH:37
PA:34
SC:40
DF:55
Tim Stutzle
Tim Stutzle
AGE:22
SK:92
EN:90
DU:94
PH:83
PA:97
SC:70
DF:70
Timo Meier
Timo Meier
AGE:28
SK:87
EN:84
DU:90
PH:76
PA:69
SC:83
DF:65
Mathieu Joseph
Mathieu Joseph
AGE:27
SK:83
EN:82
DU:92
PH:65
PA:67
SC:63
DF:85
Brett Leason
Brett Leason
AGE:25
SK:75
EN:77
DU:89
PH:58
PA:53
SC:63
DF:82
Kevin Labanc
Kevin Labanc
AGE:29
SK:79
EN:74
DU:75
PH:53
PA:52
SC:54
DF:61
Joakim Kemell
Joakim Kemell
AGE:20
SK:77
EN:76
DU:66
PH:50
PA:51
SC:50
DF:58
Will Lockwood
Will Lockwood
AGE:26
SK:76
EN:69
DU:61
PH:47
PA:43
SC:50
DF:63
Nail Yakupov
Nail Yakupov
AGE:31
SK:77
EN:60
DU:50
PH:50
PA:52
SC:47
DF:50
Ryan Hofer (R)
Ryan Hofer
AGE:22
SK:82
EN:60
DU:50
PH:33
PA:28
SC:38
DF:65
Declan McDonnell
Declan McDonnell
AGE:22
SK:75
EN:60
DU:50
PH:30
PA:30
SC:30
DF:50

Defense #1Defense #2Goalie
Joshua Morrissey
Joshua Morrissey
AGE:29
SK:92
EN:90
DU:98
PH:82
PA:99
SC:65
DF:80
Josh Manson
Josh Manson
AGE:33
SK:78
EN:79
DU:95
PH:61
PA:58
SC:63
DF:87
Jacob Trouba
Jacob Trouba
AGE:30
SK:77
EN:85
DU:90
PH:59
PA:63
SC:55
DF:87
Owen Power
Owen Power
AGE:22
SK:77
EN:88
DU:95
PH:64
PA:69
SC:60
DF:80
Mikhail Sergachev
Mikhail Sergachev
AGE:26
SK:82
EN:87
DU:66
PH:69
PA:81
SC:57
DF:76
Sean Durzi
Sean Durzi
AGE:26
SK:86
EN:87
DU:95
PH:70
PA:75
SC:65
DF:78
Philippe Myers
Philippe Myers
AGE:27
SK:75
EN:65
DU:60
PH:42
PA:46
SC:38
DF:70
Kevin Korchinski (R)
Kevin Korchinski
AGE:20
SK:78
EN:82
DU:95
PH:54
PA:51
SC:58
DF:63
Cole Clayton
Cole Clayton
AGE:24
SK:75
EN:63
DU:58
PH:41
PA:41
SC:40
DF:69
Dmitri Samorukov
Dmitri Samorukov
AGE:25
SK:75
EN:68
DU:63
PH:36
PA:33
SC:40
DF:67
Nathan Larose
Nathan Larose
AGE:23
SK:75
EN:55
DU:50
PH:32
PA:27
SC:36
DF:50
Thatcher Demko
Thatcher Demko
AGE:29
SK:92
AG:93
RB:87
SC:89
HS:89
RT:88
DF:88
Alexandar Georgiev
Alexandar Georgiev
AGE:28
SK:87
AG:71
RB:71
SC:68
HS:71
RT:66
DF:73
Jesper Wallstedt (R)
Jesper Wallstedt
AGE:22
SK:77
AG:61
RB:56
SC:57
HS:60
RT:59
DF:61
Hunter Jones
Hunter Jones
AGE:24
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Kyle Keyser
Kyle Keyser
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
Adam KleberOilers203851
Aidan HreschukOilers2035107
Albert SjobergOilers2036169
Alex BumpOilers2036156
Arsenii SergeevOilers2036190
Axel Sandin PellikkaOilers203716
Daniil OrlovOilers2036135
Dans LocmelisOilers2036134
Dmitri RashevskyOilers2035156
Eric JamiesonOilers2038190
Fabian WagnerOilers2036205
Graham SwardOilers2036151
Jake KarabelaOilers2036157
Jake RichardOilers2036200
Jakub FibigrOilers2038217
Jakub VondrasOilers2036201
Jesper EliassonOilers203279
Joe VrbeticOilers2036189
Joel NystromOilers2036171
Joey MuldowneyOilers2036202
Liam OhgrenOilers203619
Ludvig JanssonOilers2036138
Luke DevlinOilers2036213
Marc-Andre GaudetOilers2036159
Maxim BarbashevOilers2036143
Michael BuchingerOilers203663
Nikita GuslistovOilers2036166
Noah LabaOilers2036140
Roman ShokhrinOilers2038198
Ryann O'ReillyOilers203283
Samuel LipkinOilers2036174
Sandis VilmanisOilers2036149
Taige HardingOilers2035105
Zam PlanteOilers2036165

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2040
2041



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
4Marc-Andre Fleury82492570.9102.75491021122525081015630.84846
5Jonathan Bernier101384080.8873.61516921031127571205400.76025

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
20381676021005152-163201000201821044011003134-31951941450118121924541471491553448132211326881820.45%891583.15%131156654.95%30954656.59%12022752.86%39827236412019899
Total Regular Season157453380204556647447475619-87278528038102134333623842731-34778925342102422313823632888-525133547478224129712549137164115771293461741105152261539814070515631521220003355277275131618.09%7516157879.00%80261185156750.65%263545419348.63%125912517850.01%364402411737472124492161610715
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
Total Playoff49262300000155144112212100000073676271413000008277552155258413018445644162489559474466159247773612322134018.78%2154479.53%1838160652.18%774158248.93%40177951.48%11677511135416761377

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
4Darcy Kuemper10000.9551.8233001220000.0000
5Jesper Wallstedt10100.8575.0060005350000.0000