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Game Center
Stars
24-35-10, 58pts
3
FINAL
4 BlueJackets
47-17-5, 99pts
Team Stats
W1StreakL1
15-14-5Home Record21-9-4
9-21-5Away Record26-8-1
1-7-2Last 10 Games4-6-0
2.90Goals Per Game4.09
3.51Goals Against Per Game3.20
16.09%Power Play Percentage16.87%
80.29%Penalty Kill Percentage82.97%
BlueJackets
47-17-5, 99pts
3
FINAL
5 Ducks
29-32-7, 65pts
Team Stats
L1StreakW1
21-9-4Home Record14-17-3
26-8-1Away Record15-15-4
4-6-0Last 10 Games4-5-1
4.09Goals Per Game3.31
3.20Goals Against Per Game3.74
16.87%Power Play Percentage19.94%
82.97%Penalty Kill Percentage80.60%
BlueJackets
47-17-5, 99pts
Day 147
Kings
45-20-4, 94pts
Team Stats
L1StreakW1
21-9-4Home Record27-5-2
26-8-1Away Record18-15-2
4-6-0Last 10 Games9-1-0
4.09Goals Per Game3.90
3.20Goals Against Per Game2.78
16.87%Power Play Percentage21.15%
82.97%Penalty Kill Percentage83.15%
BlueJackets
47-17-5, 99pts
Day 149
Sharks
23-36-9, 55pts
Team Stats
L1StreakL1
21-9-4Home Record10-21-4
26-8-1Away Record13-15-5
4-6-0Last 10 Games4-6-0
4.09Goals Per Game2.82
3.20Goals Against Per Game3.72
16.87%Power Play Percentage17.09%
82.97%Penalty Kill Percentage79.79%
RedWings
47-17-4, 98pts
Day 151
BlueJackets
47-17-5, 99pts
Team Stats
W1StreakL1
23-7-4Home Record21-9-4
24-10-0Away Record26-8-1
7-2-1Last 10 Games4-6-0
4.26Goals Per Game4.09
3.16Goals Against Per Game3.20
23.60%Power Play Percentage16.87%
82.59%Penalty Kill Percentage82.97%
Team Leaders
Alexander OvechkinGoals
Alexander Ovechkin
40
Matt DucheneAssists
Matt Duchene
63
Matt DuchenePoints
Matt Duchene
93
Nick JensenPlus/Minus
Nick Jensen
40
Laurent BrossoitWins
Laurent Brossoit
35
Anton ForsbergSave Percentage
Anton Forsberg
0.9

Team Stats
Goals For
282
4.09 GFG
Shots For
2262
32.78 Avg
Power Play Percentage
16.9%
56 GF
Offensive Zone Start
41.3%
Goals Against
221
3.20 GAA
Shots Against
2041
29.58 Avg
Penalty Kill Percentage
83.0%
63 GA
Defensive Zone Start
40.0%



Injury / Suspension
Jordan Eberle


Jordan Eberle

is out for 1 week because of a Strained Groin Injury.
Jack Eichel


Jack Eichel

is out for 1 days because of a Exhaustion.
Travis Konecny


Travis Konecny

is out for 2 weeks because of a Abdomen/Ribs Injury.
Team Info
General ManagerJonathan Beaulieu
CoachTravis Green
DivisionMetropolitan
ConferenceEastern
Captain
Assistant #1
Assistant #2
Uniforms
Arena Info
NameBlue Ice Arena
Capacity23,000
Attendance19,781
Season Tickets9,200
Roster Info
Pro Team23
Farm Team22
Contract Limit45 / 50
Prospects8
Salary Cap
Estimated Season Salary Cap85,537,626$
Available Salary Cap4,462,374$
Special Salary Cap Value0$
Players In Salary Cap20
Finance
Year to Date Revenue63,541,525$
Year To Date Expenses71,917,406$
Estimated Season Revenue13,082,079$
Estimated Season Expenses14,620,224$
Current Bank Account141,868,899$
Projected Bank Account139,982,730$
Team History
This Season47-17-5 (99PTS)
History982-573-161 (0.572%)
Playoff Appearances14
Playoff Record (W-L)94-81
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
1Alexander OvechkinX99.008061869186848791407799647099920808104029,000,000$
2Matt DucheneX100.0048508794658399868792806581908725807903447,900,000$
3Valeri NichushkinX100.0070558685748772774065907490828545657403037,000,000$
4Pius SuterX100.0057428687498498687861758573808250807202934,000,000$
5Joel ArmiaX100.0065558677757998604058618154868335766903242,500,000$
6Josh AndersonX100.0091636876807998594052657673848240806903135,000,000$
7Gustav NyquistX100.0053428683498397604058617678948915806803613,000,000$
8Nico SturmX100.0080608475727285549449597740827745806503061,500,000$
9John BeecherX100.006656837577749651874853744070727580640241925,000$
10Sasha PastujovX100.005349848556605068407062564066638542620222925,000$
11Dougie HamiltonX100.0067628181888387744080677593868535807503216,000,000$
12Drew DoughtyX100.0060527785689064714076667960949215597403628,000,000$
13Nick JensenX100.0058478880598492584061558140928820807203553,900,000$
14Matt RoyX100.0079568378718390604065557840828345707203044,000,000$
15Josh MansonX100.0091567876768076584064537340908525807103423,975,000$
16Michael KesselringX100.0065696876797999614062617040727670817002553,500,000$
17Jacob MacDonaldX100.0068557586656762714051707040867735596803222,000,000$
Scratches
1Jack EichelX94.0047528896688996958199808572808550798302911$
2Travis KonecnyX82.1867477794538999837492747659788455697802867,500,000$
3Jordan EberleX84.5647428388498272704073687373928720276903535,100,000$
Farm Team
1Nicklas BackstromX100.00545083836460506785696559759879553650382775,000$
2Trevor LewisX100.00795183766672845382485860699885550630383575,000$
3Tomas TatarX100.005840858144739454405158617192832054620353575,000$
4Vinni LettieriX100.009442857949776153404659704082804554620303575,000$
5David GustafssonX100.0052558675636968528549556840727170566002531,500,000$
6Joey AndersonX100.0056509075657555474045508440767660546002711,500,000$
7Michael PezzettaX100.0099707175736460454040506673767060595902711,100,000$
8Samuel FagemoX100.0066528077617666534041655090727470525902511,200,000$
9Cedric PareX100.006555757570685843403947704074716559570262575,000$
10Arnaud DurandeauX100.005759777554605046405140574074676521530262575,000$
11Nick DeSimoneX100.005649907962765758406156694084804054650311750,000$
12Yan KuznetsovX100.0075737975817671394037407040687280496302311,100,000$
13William LagessonX100.008563747572555044404146704080685052620293575,000$
14Chad RuhwedelX100.008145737550555041404537704092742054610353575,000$
15Dylan CoghlanX100.005552788260555064405670504076666057600272575,000$
16Jakub ZborilX100.007350777558555037404330534078675542550282575,000$
17Christoffer SedoffX100.005954807570656036403338504068678050550232575,000$
18Max WannerX100.005143717559555031402933654066618529540222575,000$
19Riley McKayX100.006774257557605034403137594074676520500262575,000$
20Mattias NorlinderX100.0067568075495550334031355040726470195202511,100,000$
TEAM AVERAGE98.98675479806573735850565868548177465965
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
1Laurent Brossoit98.009350609283858487878440868635578103212,200,000$
2Joseph Woll100.008381869380838177788192768060808002723,750,000$
Scratches
1Anton Forsberg100.008367679178767775787890888230207703351,250,000$
Farm Team
1Remi Poirier100.00755860905656545655598770637552610241925,000$
2Evan Cormier100.00755060925050505050508778645571580283575,000$
TEAM AVERAGE99.6082616792697069697070798075515671
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Travis Green96878280907560CAN5551,000,000$


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
1Matt DucheneBlueJacketsC6930639333120231732275216013.22%10142920.72617235227311251402155.67%181800011.3002000657
2Jack EichelBlueJacketsRW663355883560151733018320510.96%19155823.62710178927100062416251.10%59100111.1313000267
3Travis KonecnyBlueJacketsC63334477255001151662276014714.54%12118018.7381220642451012972446.86%144900031.3001000860
4Alexander OvechkinBlueJacketsLW6940357537895231812566717015.63%8154722.4310112162280000821911132.76%17400030.9703010785
5Valeri NichushkinBlueJacketsLW67323062207610137662245815514.29%13120017.9241014562520002725136.96%9200011.03000114310
6Drew DoughtyBlueJacketsD65648543538094698433747.14%82154523.7821012512491233268020.00%000000.7000000522
7Dougie HamiltonBlueJacketsD695485326102201186910423544.81%90166324.1131013662860111280020.00%000000.6400220022
8Pius SuterBlueJacketsC69232245680171551866518312.37%2197714.171563311511261352148.75%111800010.9200000313
9Nick JensenBlueJacketsD69539444014034577220586.94%96139120.16156331460112287110.00%000000.6300000222
10Joel ArmiaBlueJacketsRW69181634830105359105307917.14%8111716.207183221502221405137.63%9300000.6100020121
11Matt RoyBlueJacketsD67722293096101794767273110.45%78138220.63156231560003242200.00%000010.4200011111
12Jordan EberleBlueJacketsRW44121123142095997237312.37%568615.61415331510000101129.41%5100000.6700000030
13Michael KesselringBlueJacketsD69416208481062273191912.90%4692313.3900011000079000.00%000000.4300002001
14Gustav NyquistBlueJacketsLW69991872084055124516.36%44206.101123130001354129.17%4800000.8600000110
15Josh MansonBlueJacketsD6951217114601913535122014.29%63104515.16101532000057200.00%000000.3300000011
16Josh AndersonBlueJacketsLW6988162780146498724559.20%677911.290002281012552034.62%5200000.4100000001
17John BeecherBlueJacketsRW693912-416021234314326.98%45377.79000015000000053.33%4500000.4500000010
18Nico SturmBlueJacketsC6955102340487049162510.20%54857.04000000000751058.69%51800000.4100000102
19Sasha PastujovBlueJacketsRW1632544007103930.00%1915.7200000000000050.00%400001.0900000010
20Jacob MacDonaldBlueJacketsD24000-21001232120.00%61345.6100002000019000.00%000000.0000000000
21Nicklas BackstromEvilSharks (Cbj)C2000000010000.00%010.840000000000000.00%000000.0000000000
Team Total or Average124228149477532786165151314292262632159612.42%5772010216.19569815460527405813432458461850.24%6053001110.7719274414545
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
1Laurent BrossoitBlueJackets52351220.8933.1729572115614590300.83365115211
2Joseph WollBlueJackets2512620.8933.08124800645990200.00001950000
3Anton ForsbergBlueJackets20010.9002.9062003300000.6673014000
Team Total or Average79471850.8933.1342692122320880500.77897079211


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
Alexander OvechkinBlueJacketsLW401985-09-17No238 Lbs6 ft3NoNoYes2Pro Only9,000,000$9,000,000$1,617,978$No9,000,000$
UFA
Link / NHL Link
Anton ForsbergBlueJacketsG331992-11-27No176 Lbs6 ft2YesNoNo5Pro & Farm1,250,000$1,250,000$224,719$No1,250,000$1,250,000$1,250,000$1,250,000$
UFA
Link / NHL Link
Dougie HamiltonBlueJacketsD321993-06-17No230 Lbs6 ft6NoNoYes1Pro Only6,000,000$6,000,000$1,078,652$No
UFA
Link / NHL Link
Drew DoughtyBlueJacketsD361989-12-08No210 Lbs6 ft1NoNoYes2Pro Only8,000,000$8,000,000$1,438,202$No8,000,000$
UFA
Link / NHL Link
Gustav NyquistBlueJacketsLW361989-09-01No180 Lbs5 ft11NoNoYes1Pro & Farm3,000,000$3,000,000$539,326$No
UFA
Link / NHL Link
Jack Eichel (Out of Payroll)BlueJacketsRW291996-10-28No206 Lbs6 ft2YesNoYes1Pro Only1$1$0$No
UFA
Link / NHL Link
Jacob MacDonaldBlueJacketsD321993-02-26No208 Lbs6 ft0YesNoNo2Pro & Farm2,000,000$2,000,000$359,551$No2,000,000$
UFA
Link / NHL Link
Joel ArmiaBlueJacketsRW321993-05-31No216 Lbs6 ft3NoNoYes4Pro & Farm2,500,000$2,500,000$449,438$No2,500,000$2,500,000$2,500,000$
UFA
Link / NHL Link
John BeecherBlueJacketsRW242001-04-05No220 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$166,292$No
RFA
Link / NHL Link
Jordan Eberle (Out of Payroll)BlueJacketsRW351990-05-15No180 Lbs5 ft11NoNoYes3Pro Only5,100,000$5,100,000$916,854$No5,100,000$5,100,000$
UFA
Link / NHL Link
Joseph WollBlueJacketsG271998-07-12No203 Lbs6 ft4NoNoYes2Pro & Farm3,750,000$3,750,000$674,157$No3,750,000$
UFA
Link / NHL Link
Josh AndersonBlueJacketsLW311994-05-07No226 Lbs6 ft3NoNoYes3Pro Only5,000,000$5,000,000$898,876$No5,000,000$5,000,000$
UFA
Link / NHL Link
Josh MansonBlueJacketsD341991-10-07No218 Lbs6 ft3NoNoYes2Pro & Farm3,975,000$3,975,000$714,607$No3,975,000$
UFA
Link / NHL Link
Laurent BrossoitBlueJacketsG321993-03-23No200 Lbs6 ft3NoNoYes1Pro & Farm2,200,000$2,200,000$395,506$No
UFA
Link / NHL Link
Matt DucheneBlueJacketsC341991-01-16No212 Lbs5 ft11NoNoYes4Pro Only7,900,000$7,900,000$1,420,225$No7,900,000$7,900,000$7,900,000$
UFA
Link / NHL Link
Matt RoyBlueJacketsD301995-03-01No212 Lbs6 ft2NoNoYes4Pro & Farm4,000,000$4,000,000$719,101$No4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Michael KesselringBlueJacketsD252000-01-13No215 Lbs6 ft5NoNoYes5Pro & Farm3,500,000$3,500,000$629,213$No3,500,000$3,500,000$3,500,000$3,500,000$
UFA
Link / NHL Link
Nick JensenBlueJacketsD351990-09-21No196 Lbs6 ft0YesNoYes5Pro & Farm3,900,000$3,900,000$701,124$No3,900,000$3,900,000$3,900,000$3,900,000$
UFA
Link / NHL Link
Nico SturmBlueJacketsC301995-05-03No209 Lbs6 ft3YesNoNo6Pro & Farm1,500,000$1,500,000$269,663$No1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$
UFA
Link / NHL Link
Pius SuterBlueJacketsC291996-05-24No179 Lbs5 ft11NoNoYes3Pro & Farm4,000,000$4,000,000$719,101$No4,000,000$4,000,000$
UFA
Link / NHL Link
Sasha PastujovBlueJacketsRW222003-07-15No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$166,292$No925,000$
RFA
Link / NHL Link
Travis Konecny (Out of Payroll)BlueJacketsC281997-03-11No192 Lbs5 ft10NoNoYes6Pro Only7,500,000$7,500,000$1,348,315$No7,500,000$7,500,000$7,500,000$7,500,000$7,500,000$
UFA
Link / NHL Link
Valeri NichushkinBlueJacketsLW301995-03-04No210 Lbs6 ft4NoNoYes3Pro Only7,000,000$7,000,000$1,258,427$No7,000,000$7,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2331.13205 Lbs6 ft22.964,040,217$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
92,925,001$80,800,000$53,150,000$32,050,000$17,650,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander OvechkinMatt Duchene40122
2Valeri NichushkinPius SuterJoel Armia30122
3Josh AndersonNico SturmJohn Beecher20122
4Gustav NyquistSasha Pastujov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dougie HamiltonDrew Doughty40122
2Matt RoyNick Jensen30122
3Josh MansonMichael Kesselring20122
4Jacob MacDonaldDougie Hamilton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander OvechkinMatt Duchene60122
2Valeri NichushkinPius SuterJoel Armia40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dougie HamiltonDrew Doughty60122
2Matt RoyNick Jensen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alexander Ovechkin60122
2Matt DucheneValeri Nichushkin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dougie HamiltonDrew Doughty60122
2Matt RoyNick Jensen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Dougie HamiltonDrew Doughty60122
2Alexander Ovechkin40122Matt RoyNick Jensen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexander Ovechkin60122
2Matt DucheneValeri Nichushkin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dougie HamiltonDrew Doughty60122
2Matt RoyNick Jensen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexander OvechkinMatt DucheneDougie HamiltonDrew Doughty
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander OvechkinMatt DucheneDougie HamiltonDrew Doughty
Extra Forwards
Normal PowerPlayPenalty Kill
Josh Anderson, Gustav Nyquist, Nico SturmJosh Anderson, Gustav NyquistNico Sturm
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Manson, Michael Kesselring, Jacob MacDonaldJosh MansonMichael Kesselring, Jacob MacDonald
Penalty Shots
, Alexander Ovechkin, Matt Duchene, Valeri Nichushkin, Pius Suter
Goalie
#1 : Laurent Brossoit, #2 : Joseph Woll


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
1Avalanche11000000642000000000001100000064221.00069150023103212101003481422500.00%7271.43%01293248751.99%1178241048.88%570112150.85%2617217126
2Blackhawks10001000651000000000001000100065121.0006101600113138159131331010179333.33%5180.00%01293248751.99%1178241048.88%570112150.85%2719216126
3Blues11000000321110000003210000000000021.0003690003003171113022619236116.67%60100.00%01293248751.99%1178241048.88%570112150.85%2114258126
4Bruins3010110056-12010010024-21000100032130.5005914000131792424301842536601119.09%17382.35%01293248751.99%1178241048.88%570112150.85%664577223617
5Canadiens311000011415-1201000011014-41100000041330.50014274100725011035334148128426112433.33%20670.00%01293248751.99%1178241048.88%570112150.85%725174213818
6Canucks211000009811010000046-21100000052320.50091524006030782621310631222519111.11%10370.00%01293248751.99%1178241048.88%570112150.85%483346142412
7Capitals4400000026111522000000158722000000113881.00026457100109701563667530148415810017317.65%23291.30%21293248751.99%1178241048.88%570112150.85%1047585284924
8Devils402011001012-22010010046-22010100066030.3751018280024311344637465118417211520315.00%29196.55%01293248751.99%1178241048.88%570112150.85%9060104315123
9Ducks21100000871110000005231010000035-220.500814220041307730252205115203111218.18%10280.00%01293248751.99%1178241048.88%570112150.85%533842142412
10Flames21100000550110000004221010000013-220.5005813002120733516220451719501417.14%60100.00%01293248751.99%1178241048.88%570112150.85%543841132313
11Flyers3200000114104110000005322100000197250.83314264000329011334284689113286219315.79%14564.29%11293248751.99%1178241048.88%570112150.85%795667223719
12GoldenKnights220000001055110000005321100000052341.000101929004420641729180491618336116.67%9188.89%01293248751.99%1178241048.88%570112150.85%533942122413
13Hurricanes312000001017-71010000017-621100000910-120.33310182800244074262523012234426411218.18%21480.95%01293248751.99%1178241048.88%570112150.85%624182223515
14Islanders4210100016124220000009452010100078-160.750162743007351118394037212329708721314.29%24675.00%01293248751.99%1178241048.88%570112150.85%9465100304723
15Jets21001000954110000005231000100043141.00091625005211592716151541616377342.86%7271.43%01293248751.99%1178241048.88%570112150.85%433054142411
16Kings11000000321110000003210000000000021.0003580000302024140251716224125.00%8187.50%01293248751.99%1178241048.88%570112150.85%2013268125
17Lightning22000000734110000004131100000032141.000714210021406616252505320213212216.67%8187.50%11293248751.99%1178241048.88%570112150.85%533942132412
18Mammoth11000000312000000000001100000031221.000358001110381113140154228500.00%10100.00%01293248751.99%1178241048.88%570112150.85%2921175127
19MapleLeafs32100000141132110000089-11100000062440.66714243800455010438353108930347910110.00%14471.43%01293248751.99%1178241048.88%570112150.85%765566223618
20Oilers211000005501010000013-21100000042220.5005813003020471914140602441439111.11%130100.00%11293248751.99%1178241048.88%570112150.85%452951142311
21Panthers211000007701010000023-11100000054120.500713200023204820111705915243611218.18%11190.91%01293248751.99%1178241048.88%570112150.85%463148142412
22Penguins421001001314-1210001006512110000079-250.6251323360055301434156433972452952328.70%260100.00%01293248751.99%1178241048.88%570112150.85%1017191305025
23Predators2110000010100110000007521010000035-220.5001019290007306221281307121253713430.77%9277.78%01293248751.99%1178241048.88%570112150.85%503746142311
24Rangers422000001416-22110000078-12110000078-140.50014243800266097273337015028598615213.33%27774.07%01293248751.99%1178241048.88%570112150.85%895897305327
25RedWings10000010651000000000001000001065121.0006915000231297317546101023300.00%5180.00%01293248751.99%1178241048.88%570112150.85%2216297126
26Sabres210010001064100010005411100000052341.0001018280061217931212615214293912325.00%12375.00%01293248751.99%1178241048.88%570112150.85%483545142612
27Senators330000001587110000007522200000083561.00015274200924012953364007727147016425.00%6183.33%01293248751.99%1178241048.88%570112150.85%765466213618
28Sharks11000000523110000005230000000000021.000571200221047101522031712219111.11%5180.00%01293248751.99%1178241048.88%570112150.85%2820206116
29Stars21001000936100010004311100000050541.00091221011521621915253571318438112.50%8187.50%01293248751.99%1178241048.88%570112150.85%473249142412
30Wild220000001046110000006241100000042241.000101929005230552617120411220464125.00%9277.78%01293248751.99%1178241048.88%570112150.85%493544132612
Total6939170731228222161341990230113711522352080501114510639990.717282494776019782958226275071777034204157786315133325616.87%3706382.97%51293248751.99%1178241048.88%570112150.85%168411791633503855423
_Since Last GM Reset6939170731228222161341990230113711522352080501114510639990.717282494776019782958226275071777034204157786315133325616.87%3706382.97%51293248751.99%1178241048.88%570112150.85%168411791633503855423
_Vs Conference45231204312181153282210701301858142313503011967224610.678181322503006150655147947347451229139037959110092133516.43%2574582.49%41293248751.99%1178241048.88%570112150.85%10847571082333562275
_Vs Division261380220110392111273002004741614650200156515330.635103181284003133372835249286285188492103816091261814.29%1642584.76%31293248751.99%1178241048.88%570112150.85%621429630196325158

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6999L128249477622622041577863151301
All Games
GPWLOTWOTL SOWSOLGFGA
6939177312282221
Home Games
GPWLOTWOTL SOWSOLGFGA
341992301137115
Visitor Games
GPWLOTWOTL SOWSOLGFGA
352085011145106
Last 10 Games
WLOTWOTL SOWSOL
361000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3325616.87%3706382.97%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
750717770349782958
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1293248751.99%1178241048.88%570112150.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
168411791633503855423


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
110BlueJackets3Senators2AWBoxScore
218BlueJackets2Rangers4ALBoxScore
536Bruins2BlueJackets1BLXBoxScore
753BlueJackets5Sabres2AWBoxScore
863BlueJackets3Predators5ALBoxScore
1078Canadiens7BlueJackets4BLBoxScore
1289Islanders3BlueJackets5BWBoxScore
14107BlueJackets5Canucks2AWBoxScore
17129BlueJackets4Oilers2AWBoxScore
19142BlueJackets1Flames3ALBoxScore
22163BlueJackets3Bruins2AWXBoxScore
23174Hurricanes7BlueJackets1BLBoxScore
26195Bruins2BlueJackets1BLBoxScore
27205BlueJackets4Islanders3AWXBoxScore
29215Penguins4BlueJackets3BLXBoxScore
31237BlueJackets5Penguins3AWBoxScore
33249BlueJackets3Devils2AWXBoxScore
35257Jets2BlueJackets5BWBoxScore
36266Oilers3BlueJackets1BLBoxScore
38284Flyers3BlueJackets5BWBoxScore
40297Penguins1BlueJackets3BWBoxScore
43318Sharks2BlueJackets5BWBoxScore
44331BlueJackets5Senators1AWBoxScore
47353BlueJackets4Canadiens1AWBoxScore
48357Lightning1BlueJackets4BWBoxScore
50371BlueJackets6Blackhawks5AWXBoxScore
52386Islanders1BlueJackets4BWBoxScore
54400Capitals2BlueJackets5BWBoxScore
57433BlueJackets5GoldenKnights2AWBoxScore
59436BlueJackets3Mammoth1AWBoxScore
61454BlueJackets6Avalanche4AWBoxScore
64471Blues2BlueJackets3BWBoxScore
66494BlueJackets4Jets3AWXBoxScore
68498Sabres4BlueJackets5BWXBoxScore
74526BlueJackets4Wild2AWBoxScore
75535Canadiens7BlueJackets6BLXXBoxScore
78552Devils3BlueJackets2BLBoxScore
80569Rangers3BlueJackets6BWBoxScore
81585BlueJackets6Capitals1AWBoxScore
83591Predators5BlueJackets7BWBoxScore
85612BlueJackets3Lightning2AWBoxScore
88629BlueJackets5Panthers4AWBoxScore
89639BlueJackets7Hurricanes5AWBoxScore
93664Senators5BlueJackets7BWBoxScore
96690MapleLeafs4BlueJackets5BWBoxScore
97698BlueJackets5Rangers4AWBoxScore
98709BlueJackets3Devils4ALBoxScore
99723BlueJackets7Flyers4AWBoxScore
101734Devils3BlueJackets2BLXBoxScore
104756GoldenKnights3BlueJackets5BWBoxScore
106768Ducks2BlueJackets5BWBoxScore
108787Kings2BlueJackets3BWBoxScore
110801Canucks6BlueJackets4BLBoxScore
113822Capitals6BlueJackets10BWBoxScore
115838BlueJackets2Flyers3ALXXBoxScore
117848Flames2BlueJackets4BWBoxScore
120874BlueJackets3Islanders5ALBoxScore
122884Wild2BlueJackets6BWBoxScore
125906BlueJackets6RedWings5AWXXBoxScore
127922BlueJackets2Penguins6ALBoxScore
128931MapleLeafs5BlueJackets3BLBoxScore
131963BlueJackets6MapleLeafs2AWBoxScore
133971BlueJackets2Hurricanes5ALBoxScore
135988Panthers3BlueJackets2BLBoxScore
1381011BlueJackets5Stars0AWBoxScore
1401023Rangers5BlueJackets1BLBoxScore
1411036BlueJackets5Capitals2AWBoxScore
1441049Stars3BlueJackets4BWXBoxScore
1461063BlueJackets3Ducks5ALBoxScore
1471069BlueJackets-Kings-
1491090BlueJackets-Sharks-
1511099RedWings-BlueJackets-
1541116Sabres-BlueJackets-
1561138BlueJackets-Blues-
1581143Mammoth-BlueJackets-
1611159Blackhawks-BlueJackets-
1631174Flyers-BlueJackets-
1681214BlueJackets-Lightning-
1691219BlueJackets-Panthers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711232Avalanche-BlueJackets-
1751256Hurricanes-BlueJackets-
1761262BlueJackets-RedWings-


Depth Chart
Left WingCenterRight Wing
Alexander Ovechkin
Alexander Ovechkin
AGE:40
SK:91
EN:84
DU:87
PH:91
PA:77
SC:99
DF:64
Valeri Nichushkin
Valeri Nichushkin
AGE:30
SK:85
EN:87
DU:72
PH:77
PA:65
SC:90
DF:74
Josh Anderson
Josh Anderson
AGE:31
SK:76
EN:79
DU:98
PH:59
PA:52
SC:65
DF:76
Gustav Nyquist
Gustav Nyquist
AGE:36
SK:83
EN:83
DU:97
PH:60
PA:58
SC:61
DF:76
Tomas Tatar
Tomas Tatar
AGE:35
SK:81
EN:73
DU:94
PH:54
PA:51
SC:58
DF:61
Samuel Fagemo
Samuel Fagemo
AGE:25
SK:77
EN:76
DU:66
PH:53
PA:41
SC:65
DF:50
Michael Pezzetta
Michael Pezzetta
AGE:27
SK:75
EN:64
DU:60
PH:45
PA:40
SC:50
DF:66
Cedric Pare
Cedric Pare
AGE:26
SK:75
EN:68
DU:58
PH:43
PA:39
SC:47
DF:70
Arnaud Durandeau
Arnaud Durandeau
AGE:26
SK:75
EN:60
DU:50
PH:46
PA:51
SC:40
DF:57
Riley McKay
Riley McKay
AGE:26
SK:75
EN:60
DU:50
PH:34
PA:31
SC:37
DF:59
Matt Duchene
Matt Duchene
AGE:34
SK:94
EN:83
DU:99
PH:86
PA:92
SC:80
DF:65
Travis Konecny
Travis Konecny
AGE:28
SK:94
EN:89
DU:99
PH:83
PA:92
SC:74
DF:76
Pius Suter
Pius Suter
AGE:29
SK:87
EN:84
DU:98
PH:68
PA:61
SC:75
DF:85
Nico Sturm
Nico Sturm
AGE:30
SK:75
EN:72
DU:85
PH:54
PA:49
SC:59
DF:77
Nicklas Backstrom
Nicklas Backstrom
AGE:38
SK:83
EN:60
DU:50
PH:67
PA:69
SC:65
DF:59
Trevor Lewis
Trevor Lewis
AGE:38
SK:76
EN:72
DU:84
PH:53
PA:48
SC:58
DF:60
Vinni Lettieri
Vinni Lettieri
AGE:30
SK:79
EN:77
DU:61
PH:53
PA:46
SC:59
DF:70
David Gustafsson
David Gustafsson
AGE:25
SK:75
EN:69
DU:68
PH:52
PA:49
SC:55
DF:68
Jack Eichel
Jack Eichel
AGE:29
SK:96
EN:89
DU:96
PH:95
PA:99
SC:80
DF:85
Joel Armia
Joel Armia
AGE:32
SK:77
EN:79
DU:98
PH:60
PA:58
SC:61
DF:81
Jordan Eberle
Jordan Eberle
AGE:35
SK:88
EN:82
DU:72
PH:70
PA:73
SC:68
DF:73
John Beecher
John Beecher
AGE:24
SK:75
EN:74
DU:96
PH:51
PA:48
SC:53
DF:74
Sasha Pastujov
Sasha Pastujov
AGE:22
SK:85
EN:60
DU:50
PH:68
PA:70
SC:62
DF:56
Joey Anderson
Joey Anderson
AGE:27
SK:75
EN:75
DU:55
PH:47
PA:45
SC:50
DF:84

Defense #1Defense #2Goalie
Dougie Hamilton
Dougie Hamilton
AGE:32
SK:81
EN:83
DU:87
PH:74
PA:80
SC:67
DF:75
Drew Doughty
Drew Doughty
AGE:36
SK:85
EN:90
DU:64
PH:71
PA:76
SC:66
DF:79
Matt Roy
Matt Roy
AGE:30
SK:78
EN:83
DU:90
PH:60
PA:65
SC:55
DF:78
Nick Jensen
Nick Jensen
AGE:35
SK:80
EN:84
DU:92
PH:58
PA:61
SC:55
DF:81
Josh Manson
Josh Manson
AGE:34
SK:76
EN:80
DU:76
PH:58
PA:64
SC:53
DF:73
Michael Kesselring
Michael Kesselring
AGE:25
SK:76
EN:79
DU:99
PH:61
PA:62
SC:61
DF:70
Jacob MacDonald
Jacob MacDonald
AGE:32
SK:86
EN:67
DU:62
PH:71
PA:51
SC:70
DF:70
Nick DeSimone
Nick DeSimone
AGE:31
SK:79
EN:76
DU:57
PH:58
PA:61
SC:56
DF:69
Yan Kuznetsov
Yan Kuznetsov
AGE:23
SK:75
EN:76
DU:71
PH:39
PA:37
SC:40
DF:70
William Lagesson
William Lagesson
AGE:29
SK:75
EN:55
DU:50
PH:44
PA:41
SC:46
DF:70
Chad Ruhwedel
Chad Ruhwedel
AGE:35
SK:75
EN:55
DU:50
PH:41
PA:45
SC:37
DF:70
Dylan Coghlan
Dylan Coghlan
AGE:27
SK:82
EN:55
DU:50
PH:64
PA:56
SC:70
DF:50
Christoffer Sedoff
Christoffer Sedoff
AGE:23
SK:75
EN:65
DU:60
PH:36
PA:33
SC:38
DF:50
Jakub Zboril
Jakub Zboril
AGE:28
SK:75
EN:55
DU:50
PH:37
PA:43
SC:30
DF:53
Max Wanner
Max Wanner
AGE:22
SK:75
EN:55
DU:50
PH:31
PA:29
SC:33
DF:65
Mattias Norlinder
Mattias Norlinder
AGE:25
SK:75
EN:55
DU:50
PH:33
PA:31
SC:35
DF:50
Laurent Brossoit
Laurent Brossoit
AGE:32
SK:93
AG:83
RB:85
SC:84
HS:87
RT:87
DF:84
Joseph Woll
Joseph Woll
AGE:27
SK:83
AG:80
RB:83
SC:81
HS:77
RT:78
DF:81
Anton Forsberg
Anton Forsberg
AGE:33
SK:83
AG:78
RB:76
SC:77
HS:75
RT:78
DF:78
Remi Poirier
Remi Poirier
AGE:24
SK:75
AG:56
RB:56
SC:54
HS:56
RT:55
DF:59
Evan Cormier
Evan Cormier
AGE:28
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
Albin ErikssonBlueJackets203247
Andrei SvetlakovBlueJackets2031210
Colby AmbrosioBlueJackets2034147
John FuscoBlueJackets2034217
Joni JurmoBlueJackets2034113
Matias RajaniemiBlueJackets2034211
Oliver TarnstromBlueJackets2034126
Pavel KoltyginBlueJackets2031120

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2042



BlueJackets 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
1Matt Duchene102039862210202402206392355322612.34%2132031919.92972193167369112067621753.67%71.001772
2T.J. Oshie78027043470412053613511725260910.35%3201707421.8984141225602771467472540.91%90.821659
3Victor Hedman82318052270214996612811088174010.34%11662005024.361091782871091412163325140.00%10.7013
4Kevin Shattenkirk135125842768522105418441790253310.19%7722229516.504474118181691555321045.81%30.61632
5Jamie Benn48429835365118150512381326213013.99%1171076222.2492138230576921144631754.51%101.21844

BlueJackets Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Cory Schneider20410871170.9022.89118412965715827148630.78474
2Ondrej Pavelec1828470230.9052.9210630122517542619411130.68799
3Robin Lehner1227329100.8942.96691083341321301220.71957
4Evgeni Nabokov1456557150.9053.01844249342344611016710.76359
5Juuse Saros1066028110.9072.8059546327830000700.66727

BlueJackets 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
201782343101547282266164117140134215013614411717002051321302752824617431007011394274908929968432698869110119452594517.37%1873282.89%61002209547.83%905202544.69%635140645.16%1784103119168081459736
20188235260735623622511412110051221311102141141602234105115-108723639863413056848427180827961889261885886318561963216.33%2134180.75%11032203150.81%982206047.67%614129647.38%1762100717267421501753
201982342903475243245-241171202433121122-141171701042122123-178243396639300529685262107789049102472875102920022333615.45%2363585.17%61113212752.33%1029197752.05%646121952.99%1853106916487331497762
202082264303325237268-3141132300113121143-2241132003212116125-961237380617200548593257107569008972564843112719802344720.09%2425477.69%21034211248.96%995205148.51%595121049.17%1773101417197501479734
202182263806426218280-6241102205211104143-3941161601215114137-2368218385603030786765225707716787812627765129620494246014.15%52010579.81%71228283843.27%1358317942.72%527128341.08%1946131320026211034514
202282293903254242268-2641141901133134144-1041152002121108124-1666242418660120788670235807767897702518770104918574559120.00%4418281.41%01444296448.72%1471304848.26%626127948.94%2000137519506201021507
20238238260267326923732412013013401421192341181301333127118986269469738120998081241507978027892458708107718464277918.50%4618282.21%41557293153.12%1531306349.98%658133049.47%2012138819486081026512
202482422801236294256384123110023215912930411917010041351278100294521815220124917527180900898892244170993718254498819.60%4038778.41%61674322651.89%1479301349.09%705136751.57%2052142618876101034525
20258255120624333020512541304022211741007441258040221561055113533058791703012294104274408678879532171648963181544810322.99%4035885.61%21687317953.07%1444276252.28%662128351.60%2155151817856001031532
202682521503345327227100412770112316410460412580222216312340126327577904060122981002875092998593821766221013184952211321.65%4098279.95%61809337453.62%1450273353.06%702134752.12%2198155117515951030538
2027825117031553242259941287011311631105341231002024161115461243245769002201211108528900989100386322256281048181945411725.77%4446884.68%101771328953.85%1529282654.10%752136355.17%2113147218166041043540
203082561702043341208133413250002217594814124120202116611452127341603944170115127932969098210009572224665966182448111223.28%4147681.64%91858340954.50%1553285854.34%736132955.38%2156151117716001033539
203182531303283342227115412370125317612254413060203016610561133342594936140116120952882094810078942289653824167947111524.42%3617180.33%31740321854.07%1484277853.42%670128452.18%2192156217725881022535
203282392703247285253324118160003414213574121110321314311825101285507792120881018926540808922897237971396318604469020.18%4007681.00%81617305852.88%1431290949.19%656131849.77%2181154817995891008532
203382353701225233253-2041172001201114123-941181700024119130-1183233420653140847967249808048807892583786106918103917418.93%4818382.74%01516292051.92%1660316752.42%701130853.59%1927130219956301039514
203482235100314255347-9241142400012125173-484192700302130174-4455255459714110867593232807757667772977883100819793597019.50%4368580.50%41244275545.15%1259312740.26%607134845.03%1751115221596331046499
203582343805320245271-2641191801210121123-241152004110124148-248524544268716097746724580771836838274176299517963687620.65%4207781.67%11528287453.17%1504305649.21%746134155.63%1916130620085971024508
2036824427042143422766641231501200166153134121120301417612353104342601943140133981062884095794095627777761026186840110125.19%4528880.53%61602307252.15%1486307048.40%703140050.21%1944134620086011009501
20378248210622333425381412314021101561253141257041131781285011733459693003138929611291396893598248229869290818054009924.75%3757280.80%21672316452.84%1323270448.93%692134351.53%2110149118285841026529
2038824421021014314257574121110151215712334412310015021571342310831455486834123979142943101995793646235066489518754049122.52%3756383.20%31696318653.23%1481275653.74%697135751.36%2068144418685891032520
2039693917073122822216134199023011371152235208050111451063999282494776019782958226275071777034204157786315133325616.87%3706382.97%51293248751.99%1178241048.88%570112150.85%168411791633503855423
Total Regular Season17098375730716474905975526870785442928102838423630322646386855408292043263254294326223212018597510438164132359358196619601569557072737179361884215761516271546621020388528154169520.79%8043148081.60%91311176030951.60%285325757249.56%139002753250.49%415882801638997132172325611763
Playoff
201819910000005049110640000031283936000001921-2185081131000122015626017821522164723017146423417.39%48589.58%023545951.20%22849046.53%15930951.46%410239418166339170
2019624000001521-631200000911-231200000610-4415264100037417205555602147045125600.00%18383.33%14812239.34%7815849.37%639864.29%118661405210350
202340400000817-92020000048-42020000049-50815231002241120443830137466710517211.76%26484.62%06214044.29%7315347.71%305653.57%9061100294925
20241046000003340-75230000019181523000001422-883355880001014932501191109534896159221461123.91%671577.61%221039253.57%21940454.21%8217347.40%2391642387312460
2025127500000373347520000026179523000001116-5143769106010161564080135144101394116194288711622.54%741283.78%022346747.75%21545247.57%9920049.50%3172193019416080
202615960000053503954000002830-264200000252051853931460001722135040154191153423118162335821821.95%64985.94%033160254.98%27252451.91%13124154.36%38627133511119098
202718117000007267510640000037325853000003535022721322040102219296490209193228580165195418962222.92%891780.90%037273250.82%33767749.78%17331255.45%454311418137231118
20302416800000876819131030000057421511650000030264328715824501028292986802672703266301863195311473725.17%1161785.34%1565102455.18%43179254.42%19439648.99%625442532173289152
20311710700000595549630000031256844000002830-220591091680202715155100189165139541136204370901718.89%892176.40%129559149.92%29962647.76%14428949.83%428296407124216111
20321266000003637-16510000019127615000001725-812366610210010111333309911311338910614025948918.75%651183.08%020543447.24%21942351.77%8819944.22%3132192778715680
2033734000002027-732100000119241300000918-962034540008482310826980240607015140922.50%35877.14%011425844.19%12427944.44%4410143.56%165113168528542
2036115600000444046330000023230523000002117410447612001021149357012512297419124172277481429.17%681183.82%022543451.84%22647747.38%9318350.82%2561762948214066
20371064000002834-65410000015141523000001320-71228538100999132012010791228176133206461021.74%51884.31%018437249.46%15533546.27%8816453.66%2471732357312462
2038106400000393545410000021174523000001818012396510401812181327116107101330810214723233515.15%521473.08%016133947.49%17835450.28%9217353.18%2471762357112562
Total Playoff1759481000005815738935934000003312864582354700000250287-371885811032161327171971991565742236187018771648555116312178398279317421.94%86215582.02%53230636650.74%3054614449.71%1480289451.14%430129324104133123371183

BlueJackets 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
1Jamie Benn9851801312310524827943111.83%20218822.33133144116011511053.26%31.2000
2Matt Duchene1395363116-9408734541212.86%28257618.531522376701139352.99%10.9000
3Victor Hedman11720698941191811472328.62%167288524.661519341680001320.00%00.6200
4Frans Nielsen81224668-631342162279.69%17156319.30622285401144151.28%00.8700
5Dustin Byfuglien8820476772163519519210.42%98200622.8015132812800003336.84%00.6700

BlueJackets Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Brian Elliott2114700.8962.65122121545170100.0000
2Robin Lehner2313720.9042.98132842666850100.0000
3Evgeni Nabokov23101010.9212.5513412057722252000.0000
4Sergei Bobrovsky159600.8773.4086640493990000.0000
5Devan Dubnyk147600.8763.8376720493960200.0000