Blue JacketsColumbus Blue Jackets
8-1-1, 17pts · 1st in Eastern Conference
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Bryan RustC/RW100.00574582797578798245797464647267071307,270,000$/3yrs
Ryan Nugent-HopkinsC/LW/RW100.00564582857479797261816672758386071296,940,000$/3yrs
Reilly SmithLW/RW100.00644584767375788045717170658083070316,540,000$/3yrs
Adrian KempeLW/RW100.00684574848075937748646867927165069265,000,000$/2yrs
Juraj SlafkovskyLW100.0049457570807075781570805375454506618750,000$/1yrs
Max DomiC/LW/RW100.00584863797364836657716862537469066273,250,000$/2yrs
Marcus JohanssonC/RW100.00504586767970727346646263538173065322,550,000$/2yrs
Noah OstlundC100.0054309179607080697081496030454506318750,000$/1yrs
Dominik KubalikLW100.00694574777267906245635860556261063273,250,000$/1yrs
Brendan LemieuxLW/RW100.00887950728055666345536062596059062261,100,000$/1yrs
Derek GrantC/LW/RW100.0067467168806574516958556745676306132750,000$/1yrs
Zach Aston-ReeseC/LW/RW100.00844970717662725245535371456261061281,350,000$/1yrs
Cale MakarD100.00614585937688859345797678626569076247,500,000$/2yrs
Shea TheodoreD100.00504588878087928645696877817470072276,500,000$/1yrs
Nikita ZadorovD100.00804873728974877445515274457570067275,000,000$/2yrs
Brendan SmithD100.0071566168786467704549536545767106233750,000$/1yrs
Jacob MiddletonD100.00686868698071665045475077495654062261,100,000$/2yrs
Trevor van RiemsdykD100.00504574747669685745485169567369060311,330,000$/2yrs
Scratches
Ryder KorczakC100.0045454545454545454545454545454504520750,000$/1yrs
Slater KoekkoekD100.0050456370745250484547475545616005428750,000$/1yrs
TEAM AVERAGE100.00624873757569756748626066576664064
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Connor Hellebuyck0100.0087938191909292888885767374087298,750,000$/1yrs
Jonathan Bernier0100.007164656278667367688062777806934750,000$/1yrs
Scratches
TEAM AVERAGE100.0079797377847983787883697576078
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Cale MakarBlue JacketsBlue Jackets0D103710140105024196.00%923.3221300011020.00%099000.8600
2Bryan RustBlue JacketsBlue Jackets0C/RW10437400192671015.38%117.3430300001128.57%1420000.8100
3Ryan Nugent-HopkinsBlue JacketsBlue Jackets0C/LW/RW103365001028121110.71%217.6202200000145.45%18720000.6800
4Noah OstlundBlue JacketsBlue Jackets0C1032540092461612.50%216.7300000001043.05%15142000.6000
5Reilly SmithBlue JacketsBlue Jackets0LW/RW10235395323311256.06%417.4901100001054.55%1175000.5700
6Max DomiBlue JacketsBlue Jackets0C/LW/RW10044-220302313220.00%116.5100000000047.67%17242000.4800
7Shea TheodoreBlue JacketsBlue Jackets0D10134132204255124.00%1121.2601100012000.00%073000.3822
8Juraj SlafkovskyBlue JacketsBlue Jackets0LW1021357524318166.45%317.2600000011011.11%980000.3502
9Jacob MiddletonBlue JacketsBlue Jackets0D100334115169450.00%1820.9600000019000.00%0010000.2900
10Brendan LemieuxBlue JacketsBlue Jackets0LW/RW10022130201414750.00%17.76000000000100.00%112000.5200
11Brendan SmithBlue JacketsBlue Jackets0D10112331251995411.11%917.220000001100.00%007100.2300
12Marcus JohanssonBlue JacketsBlue Jackets0C/RW10202-35510248228.33%515.79000000121146.67%1574000.2500
13Adrian KempeBlue JacketsBlue Jackets0LW/RW1010132036121078.33%316.82000000120010.00%1021000.1212
14Derek GrantBlue JacketsBlue Jackets0C/LW/RW101010001273614.29%210.04000000180152.17%6911000.2000
15Nikita ZadorovBlue JacketsBlue Jackets0D100111115248720.00%1321.8301100019000.00%026000.0900
16Zach Aston-ReeseBlue JacketsBlue Jackets0C/LW/RW10011155209110.00%310.02000000190033.33%303000.2000
17Dominik KubalikBlue JacketsBlue Jackets0LW10000-2402613550.00%415.6100000030044.44%922000.0000
18Trevor van RiemsdykBlue JacketsBlue Jackets0D10000313534330.00%816.790000004000.00%019000.0000
Team Total or Average180233457321661003183491391916.59%9916.6956111940001386645.01%6515966100.3836
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
1Connor HellebuyckBlue JacketsBlue Jackets86110.9461.834922015280113100.833682401
2Jonathan BernierBlue JacketsBlue Jackets22000.9651.501200038553000.000028200
Team Total or Average108110.9511.776122018365166100.83361010601
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1Blue JacketsCanucks1100000032121.0003470003004191913045830343133.33%5260.00%011524946.18%12826548.30%5012739.37%2212218168100.0%7.3%95.6%102.9DULL
2Blue JacketsPredators1100000032121.0003470002104113141404713427200.00%2150.00%011524946.18%12826548.30%5012739.37%201222816875.0%7.3%95.7%103.1DULL
3Blue JacketsBlues1010000023-100.00023500101040141313041613342150.00%40100.00%011524946.18%12826548.30%5012739.37%1910221017725.0%5.0%92.7%97.7DULL
4Blue JacketsPenguins1000001032121.0003360002023213117440137352150.00%10100.00%011524946.18%12826548.30%5012739.37%2112241019950.0%9.4%95.0%104.4LUCKY
5Blue JacketsHurricanes1000010012-110.500112000100336141302613636300.00%30100.00%011524946.18%12826548.30%5012739.37%231320919933.3%3.0%92.3%95.3DULL
6Blue JacketsBruins1100000032121.0003690002103414128033181330100.00%4175.00%011524946.18%12826548.30%5012739.37%201221818875.0%8.8%93.9%102.8DULL
7Blue JacketsDevils1100000042221.0004610000310431616110394223111100.00%110.00%011524946.18%12826548.30%5012739.37%221320816875.0%9.3%94.9%104.2LUCKY
8Blue JacketsLightning1000001021121.00022400010131815653531230300.00%10100.00%011524946.18%12826548.30%5012739.37%2514199191066.7%6.5%97.1%103.6DULL
9Blue JacketsRangers1100000021121.000224000200326188038133932100.00%2150.00%011524946.18%12826548.30%5012739.37%1910229189100.0%6.3%97.4%103.6DULL
10Blue JacketsCoyotes1100000021121.000235000020229310021822295120.00%10100.00%011524946.18%12826548.30%5012739.37%2211178201150.0%9.1%95.2%104.3LUCKY
_Vs Division42000110107370.875101222000812140415939414343741347228.57%7271.43%011524946.18%12826548.30%5012739.37%86508737733861.5%7.1%95.1%102.2DULL
_Vs Conference6300012015105110.91715203500011232056386539211649919411218.18%12375.00%011524946.18%12826548.30%5012739.37%13176129561115765.0%7.3%95.3%102.6DULL
_Since Last GM Reset10610012025187170.850253459001166334910813510393659916831823521.74%24675.00%011524946.18%12826548.30%5012739.37%216123213921839362.5%7.2%95.1%102.2DULL
Total10610012025187170.850253459001166334910813510393659916831823521.74%24675.00%011524946.18%12826548.30%5012739.37%216123213921839362.5%7.2%95.1%102.2DULL

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 249
Neutral Zone Start 127
Defensive Zone Start 265
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 293
Faceoffs Lost 348
Team Average Shots after League Average Shots after
1st Period 10.89.57
2nd Period 24.320.31
3rd Period 34.630.68
Overtime 35.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.10.64
2nd Period 1.71.65
3rd Period 2.32.67
Overtime 2.62.83
Even Strenght Goal 20
PP Goal 5
PK Goal 0
Empty Net Goal 0
Home Away
Win 26
Lost 10
Overtime Lost 10
PP Attempt 23
PP Goal 5
PK Attempt 24
PK Goal Against 6
Home
Shots For 34.9
Shots Against 36.5
Goals For 2.5
Goals Against 1.8
Hits 31.8
Shots Blocked 9.9
Pim 16.8
Cap Hit
Blue Jackets
Projected Total Cap Hit$0
Projected Cap Space$79,500,000
Retains And Buyout Cap Hit$0
Salary Cap To Date$0
Players In Salary CapArray0
Contracts44/50
LTIR Players0
Blue Jackets Roster Pos Age Cap Hit 12-13 13-14 14-15 15-16
Adrian Kempe LW/RW26$5,000,000$5,000,000 $5,000,000
Brendan Lemieux LW/RW26$1,100,000$1,100,000
Brendan Smith D33$750,000$750,000
Bryan Rust C/RW30$7,270,000$7,270,000 $7,270,000 $7,270,000
Cale Makar D24$7,500,000$7,500,000 $7,500,000
Connor Hellebuyck G29$8,750,000$8,750,000
Derek Grant C/LW/RW32$750,000$750,000
Dominik Kubalik LW27$3,250,000$3,250,000
Jacob Middleton D26$1,100,000$1,100,000 $1,100,000
Jonathan Bernier G34$750,000$750,000
Juraj Slafkovsky LW18$750,000$750,000
Marcus Johansson C/RW32$2,550,000$2,550,000 $2,550,000
Max Domi C/LW/RW27$3,250,000$3,250,000 $3,250,000
Nikita Zadorov D27$5,000,000$5,000,000 $5,000,000
Noah Ostlund C18$750,000$750,000
Reilly Smith LW/RW31$6,540,000$6,540,000 $6,540,000 $6,540,000
Ryan Nugent-Hopkins C/LW/RW29$6,940,000$6,940,000 $6,940,000 $6,940,000
Ryder Korczak C20$750,000$750,000
Shea Theodore D27$6,500,000$6,500,000
Slater Koekkoek D28$750,000$750,000
Trevor van Riemsdyk D31$1,330,000$1,330,000 $1,330,000
Zach Aston-Reese C/LW/RW28$1,350,000$1,350,000
Non-Roster Pos Age Cap Hit 12-13 13-14 14-15 15-16
Bobby Brink RW21$750,000$750,000
Carson Latimer RW19$750,000$750,000 $750,000
Filip Roos D23$750,000$750,000
Gage Goncalves C21$750,000$750,000
Garrett Brown C18$750,000$750,000
Isak Rosen LW19$750,000$750,000 $750,000
Jachym Kondelik C22$750,000$750,000 $750,000
Jack Peart D19$750,000$750,000 $750,000
Janis Moser D22$1,100,000$1,100,000 $1,100,000
Joe Snively LW/RW26$750,000$750,000
Kalle Vaisanen LW19$750,000$750,000 $750,000
Kasper Simontaival RW20$750,000$750,000
Kent Johnson C20$1,100,000$1,100,000 $1,100,000 $1,100,000
Luca Munzenberger D20$750,000$750,000 $750,000
Mavrik Bourque C20$750,000$750,000
Niklas Kokko G18$750,000$750,000
Oliver Kylington D25$1,100,000$1,100,000 $1,100,000
Riley Kidney C19$750,000$750,000 $750,000
Ryan Healey C18$750,000$750,000
Ryan O'Rourke D20$750,000$750,000
Yegor Zamula D22$750,000$750,000 $750,000
Zachary L'Heureux LW19$750,000$750,000 $750,000

Lines
Forward Lines

Adrian Kempe

Ryan Nugent-Hopkins

Bryan Rust

Juraj Slafkovsky

Noah Ostlund

Reilly Smith

Dominik Kubalik

Max Domi

Marcus Johansson

Brendan Lemieux

Derek Grant

Zach Aston-Reese

Defensive Pairings

Cale Makar

Nikita Zadorov

Shea Theodore

Jacob Middleton

Brendan Smith

Trevor van Riemsdyk

1st Power Play Unit

Reilly Smith

Ryan Nugent-Hopkins

Bryan Rust

Cale Makar

Shea Theodore

2nd Power Play Unit

Juraj Slafkovsky

Noah Ostlund

Max Domi

Nikita Zadorov

Brendan Smith

Goalies

Connor Hellebuyck

Jonathan Bernier

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1Blue JacketsCanucks1100000032121.0003470003004191913045830343133.33%5260.00%011524946.18%12826548.30%5012739.37%2212218168100.0%7.3%95.6%102.9DULL
2Blue JacketsPredators1100000032121.0003470002104113141404713427200.00%2150.00%011524946.18%12826548.30%5012739.37%201222816875.0%7.3%95.7%103.1DULL
3Blue JacketsBlues1010000023-100.00023500101040141313041613342150.00%40100.00%011524946.18%12826548.30%5012739.37%1910221017725.0%5.0%92.7%97.7DULL
4Blue JacketsPenguins1000001032121.0003360002023213117440137352150.00%10100.00%011524946.18%12826548.30%5012739.37%2112241019950.0%9.4%95.0%104.4LUCKY
5Blue JacketsHurricanes1000010012-110.500112000100336141302613636300.00%30100.00%011524946.18%12826548.30%5012739.37%231320919933.3%3.0%92.3%95.3DULL
6Blue JacketsBruins1100000032121.0003690002103414128033181330100.00%4175.00%011524946.18%12826548.30%5012739.37%201221818875.0%8.8%93.9%102.8DULL
7Blue JacketsDevils1100000042221.0004610000310431616110394223111100.00%110.00%011524946.18%12826548.30%5012739.37%221320816875.0%9.3%94.9%104.2LUCKY
8Blue JacketsLightning1000001021121.00022400010131815653531230300.00%10100.00%011524946.18%12826548.30%5012739.37%2514199191066.7%6.5%97.1%103.6DULL
9Blue JacketsRangers1100000021121.000224000200326188038133932100.00%2150.00%011524946.18%12826548.30%5012739.37%1910229189100.0%6.3%97.4%103.6DULL
10Blue JacketsCoyotes1100000021121.000235000020229310021822295120.00%10100.00%011524946.18%12826548.30%5012739.37%2211178201150.0%9.1%95.2%104.3LUCKY
_Vs Division42000110107370.875101222000812140415939414343741347228.57%7271.43%011524946.18%12826548.30%5012739.37%86508737733861.5%7.1%95.1%102.2DULL
_Vs Conference6300012015105110.91715203500011232056386539211649919411218.18%12375.00%011524946.18%12826548.30%5012739.37%13176129561115765.0%7.3%95.3%102.6DULL
_Since Last GM Reset10610012025187170.850253459001166334910813510393659916831823521.74%24675.00%011524946.18%12826548.30%5012739.37%216123213921839362.5%7.2%95.1%102.2DULL
Total10610012025187170.850253459001166334910813510393659916831823521.74%24675.00%011524946.18%12826548.30%5012739.37%216123213921839362.5%7.2%95.1%102.2DULL

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 249
Neutral Zone Start 127
Defensive Zone Start 265
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 293
Faceoffs Lost 348
Team Average Shots after League Average Shots after
1st Period 10.89.57
2nd Period 24.320.31
3rd Period 34.630.68
Overtime 35.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.10.64
2nd Period 1.71.65
3rd Period 2.32.67
Overtime 2.62.83
Even Strenght Goal 20
PP Goal 5
PK Goal 0
Empty Net Goal 0
Home Away
Win 26
Lost 10
Overtime Lost 10
PP Attempt 23
PP Goal 5
PK Attempt 24
PK Goal Against 6
Home
Shots For 34.9
Shots Against 36.5
Goals For 2.5
Goals Against 1.8
Hits 31.8
Shots Blocked 9.9
Pim 16.8
Schedule
DateMatchup Result Detail
Wed, Mar 2Blue JacketsCAR@Blue JacketsCBJCAR2,CBJ1 (OT)RECAP
Fri, Mar 4Blue JacketsCBJ@Blue JacketsTBLCBJ2,TBL1 (SO)RECAP
Sat, Mar 5Blue JacketsSTL@Blue JacketsCBJSTL3,CBJ2RECAP
Tue, Mar 8Blue JacketsCBJ@Blue JacketsVANCBJ3,VAN2RECAP
Thu, Mar 10Blue JacketsCBJ@Blue JacketsNASCBJ3,NAS2RECAP
Sat, Mar 12Blue JacketsCBJ@Blue JacketsPITCBJ3,PIT2 (SO)RECAP
Sun, Mar 13Blue JacketsNYR@Blue JacketsCBJNYR1,CBJ2RECAP
Tue, Mar 15Blue JacketsCBJ@Blue JacketsARICBJ2,ARI1RECAP
Fri, Mar 18Blue JacketsCBJ@Blue JacketsBOSCBJ3,BOS2RECAP
Sun, Mar 20Blue JacketsNJD@Blue JacketsCBJNJD2,CBJ4RECAP
Fri, Mar 25Blue JacketsCOL@Blue JacketsCBJ
Sat, Mar 26Blue JacketsCBJ@Blue JacketsCOL
Thu, Mar 31Blue JacketsCBJ@Blue JacketsPHI
Sat, Apr 2Blue JacketsNYI@Blue JacketsCBJ
Tue, Apr 5Blue JacketsCBJ@Blue JacketsPHI
Thu, Apr 7Blue JacketsCBJ@Blue JacketsMTL
Sat, Apr 9Blue JacketsCBJ@Blue JacketsDET
Sun, Apr 10Blue JacketsCBJ@Blue JacketsFLA
Wed, Apr 13Blue JacketsCBJ@Blue JacketsMTL
Fri, Apr 15Blue JacketsCBJ@Blue JacketsNYI
Sat, Apr 16Blue JacketsNAS@Blue JacketsCBJ
Mon, Apr 18Blue JacketsCBJ@Blue JacketsVGK
Fri, Apr 22Blue JacketsWPG@Blue JacketsCBJ
Sun, Apr 24Blue JacketsCBJ@Blue JacketsDET
Tue, Apr 26Blue JacketsPIT@Blue JacketsCBJ
Wed, Apr 27Blue JacketsCBJ@Blue JacketsBUF
Fri, Apr 29Blue JacketsCBJ@Blue JacketsCGY
Sun, May 1Blue JacketsCBJ@Blue JacketsLAK
Tue, May 3Blue JacketsFLA@Blue JacketsCBJ
Thu, May 5Blue JacketsTBL@Blue JacketsCBJ
Sat, May 7Blue JacketsBOS@Blue JacketsCBJ
Mon, May 9Blue JacketsCBJ@Blue JacketsDAL
Tue, May 10Blue JacketsPHI@Blue JacketsCBJ
Fri, May 13Blue JacketsCHI@Blue JacketsCBJ
Tue, May 17Blue JacketsCBJ@Blue JacketsBUF
Thu, May 19Blue JacketsNYI@Blue JacketsCBJ
Sat, May 21Blue JacketsCBJ@Blue JacketsCHI
Tue, May 24Blue JacketsOTT@Blue JacketsCBJ
Thu, May 26Blue JacketsCBJ@Blue JacketsWAS
Sat, May 28Blue JacketsCBJ@Blue JacketsCAR
Sun, May 29Blue JacketsWAS@Blue JacketsCBJ
Tue, May 31Blue JacketsTBL@Blue JacketsCBJ
Thu, Jun 2Blue JacketsCBJ@Blue JacketsCAR
Sat, Jun 4Blue JacketsDET@Blue JacketsCBJ
Mon, Jun 6Blue JacketsCBJ@Blue JacketsNYR
Thu, Jun 9Blue JacketsCBJ@Blue JacketsANA
Sat, Jun 11Blue JacketsCBJ@Blue JacketsSJS
Mon, Jun 13Blue JacketsCGY@Blue JacketsCBJ
Wed, Jun 15Blue JacketsEDM@Blue JacketsCBJ
Fri, Jun 17Blue JacketsVAN@Blue JacketsCBJ
Sat, Jun 18Blue JacketsSEA@Blue JacketsCBJ
Tue, Jun 21Blue JacketsCBJ@Blue JacketsWAS
Mon, Jun 27Blue JacketsCBJ@Blue JacketsTOR
Tue, Jun 28Blue JacketsTOR@Blue JacketsCBJ
Fri, Jul 1Blue JacketsCBJ@Blue JacketsNJD
Sun, Jul 3Blue JacketsCBJ@Blue JacketsWPG
Tue, Jul 5Blue JacketsDAL@Blue JacketsCBJ
Wed, Jul 6Blue JacketsARI@Blue JacketsCBJ
Sun, Jul 10Blue JacketsCBJ@Blue JacketsMIN
Tue, Jul 12Blue JacketsCBJ@Blue JacketsEDM
Wed, Jul 13Blue JacketsMIN@Blue JacketsCBJ
Fri, Jul 15Blue JacketsBUF@Blue JacketsCBJ
Mon, Jul 18Blue JacketsCBJ@Blue JacketsSEA
Tue, Jul 19Blue JacketsOTT@Blue JacketsCBJ
Fri, Jul 22Blue JacketsPIT@Blue JacketsCBJ
Tue, Jul 26Blue JacketsCBJ@Blue JacketsSTL
Fri, Jul 29Blue JacketsSJS@Blue JacketsCBJ
Sun, Jul 31Blue JacketsLAK@Blue JacketsCBJ
Mon, Aug 1Blue JacketsANA@Blue JacketsCBJ
Wed, Aug 3Blue JacketsVGK@Blue JacketsCBJ
Fri, Aug 5Blue JacketsWAS@Blue JacketsCBJ
Mon, Aug 8Blue JacketsCBJ@Blue JacketsNYI
Tue, Aug 9Blue JacketsMTL@Blue JacketsCBJ
Fri, Aug 12Blue JacketsNYR@Blue JacketsCBJ
Sun, Aug 14Blue JacketsBOS@Blue JacketsCBJ
Tue, Aug 16Blue JacketsCBJ@Blue JacketsFLA
Wed, Aug 17Blue JacketsCBJ@Blue JacketsOTT
Fri, Aug 19Blue JacketsTOR@Blue JacketsCBJ
Sun, Aug 21Blue JacketsNJD@Blue JacketsCBJ
Tue, Aug 23Blue JacketsCBJ@Blue JacketsNYR
Fri, Aug 26Blue JacketsPHI@Blue JacketsCBJ
Sun, Aug 28Blue JacketsCBJ@Blue JacketsPIT

Finance
Salary Cap
Players Total Salaries Retained Salary Total Cap Hit Estimated Cap Space
$72,680,000 $0 $0 $79,500,000

Arena Goal Horn About us
Name Nationwide Arena
City Columbus
Capacity 18000
Season Ticket Holders 40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price$100$60$35$25$200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games Left Average Attendance - % Average Income per Game Year to Date Revenue Arena Capacity Team Popularity
37 0 - 0.00% $0$018000100

Expenses
Players Total Salaries Players Total Average Salaries Coaches Salaries Special Salary Cap Value
$72,680,000 $72,680,000 $0 $0
Year To Date Expenses Salary Cap Per Days Salary Cap To Date Luxury Taxe Total
$0 $0 $0 $0

Estimate
Estimated Season Revenue Remaining Season Days Expenses Per Days Estimated Season Expenses
$0 159 $397,158 $63,148,122

Team Total Estimate
Estimated Season Expenses Estimated Season Salary Cap Current Bank Account Projected Bank Account
$63,148,122 $0 $70,000,000 $6,851,878
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left Wing Center Right Wing
Ryan Nugent-HopkinsAGE:29Blue JacketsCAN
Reilly SmithAGE:31Blue JacketsCAN
Adrian KempeAGE:26Blue JacketsSWE
Dominik KubalikAGE:27Blue JacketsCZE
Max DomiAGE:27Blue JacketsCAN
Zach Aston-ReeseAGE:28Blue JacketsUSA
Brendan LemieuxAGE:26Blue JacketsUSA
Juraj SlafkovskyAGE:18Blue JacketsSVK
Derek GrantAGE:32Blue JacketsCAN
Isak RosenAGE:19Blue JacketsSWE
Joe SnivelyAGE:26Blue JacketsUSA
Kalle VaisanenAGE:19Blue JacketsFIN
Zachary L'HeureuxAGE:19Blue JacketsCAN
Bryan RustAGE:30Blue JacketsUSA
Ryan Nugent-HopkinsAGE:29Blue JacketsCAN
Max DomiAGE:27Blue JacketsCAN
Marcus JohanssonAGE:32Blue JacketsSWE
Zach Aston-ReeseAGE:28Blue JacketsUSA
Kent JohnsonAGE:20Blue JacketsCAN
Noah OstlundAGE:18Blue JacketsSWE
Derek GrantAGE:32Blue JacketsCAN
Ryder KorczakAGE:20Blue JacketsCAN
Garrett BrownAGE:18Blue JacketsUSA
Ryan HealeyAGE:18Blue JacketsUSA
Gage GoncalvesAGE:21Blue JacketsCAN
Jachym KondelikAGE:22Blue JacketsCZE
Mavrik BourqueAGE:20Blue JacketsCAN
Riley KidneyAGE:19Blue JacketsCAN
Bryan RustAGE:30Blue JacketsUSA
Ryan Nugent-HopkinsAGE:29Blue JacketsCAN
Reilly SmithAGE:31Blue JacketsCAN
Adrian KempeAGE:26Blue JacketsSWE
Max DomiAGE:27Blue JacketsCAN
Marcus JohanssonAGE:32Blue JacketsSWE
Zach Aston-ReeseAGE:28Blue JacketsUSA
Brendan LemieuxAGE:26Blue JacketsUSA
Derek GrantAGE:32Blue JacketsCAN
Bobby BrinkAGE:21Blue JacketsUSA
Carson LatimerAGE:19Blue JacketsCAN
Joe SnivelyAGE:26Blue JacketsUSA
Kasper SimontaivalAGE:20Blue JacketsFIN

Defense #1 Defense #2 Goalie
Cale MakarAGE:24Blue JacketsCAN
Shea TheodoreAGE:27Blue JacketsCAN
Nikita ZadorovAGE:27Blue JacketsRUS
Trevor van RiemsdykAGE:31Blue JacketsUSA
Jacob MiddletonAGE:26Blue JacketsCAN
Janis MoserAGE:22Blue JacketsSWI
Oliver KylingtonAGE:25Blue JacketsSWE
Brendan SmithAGE:33Blue JacketsCAN
Slater KoekkoekAGE:28Blue JacketsCAN
Yegor ZamulaAGE:22Blue JacketsRUS
Luca MunzenbergerAGE:20Blue JacketsGER
Jack PeartAGE:19Blue JacketsUSA
Ryan O'RourkeAGE:20Blue JacketsCAN
Filip RoosAGE:23Blue JacketsSWE
Connor HellebuyckAGE:29Blue JacketsUSA
Jonathan BernierAGE:34Blue JacketsCAN
Niklas KokkoAGE:18Blue JacketsFIN

Draft Picks
Year Round 1Round 2Round 3Round 4
3
4
5
6
7

** Conditional Draft Pick That Have Been Traded
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
Draft Picks
Year Round 1Round 2Round 3Round 4
3
4
5
6
7

** Conditional Draft Pick That Have Been Traded
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
News












































Injuries
No Injury or Suspension.

Game Center

Blue Jackets8-1-1, 17pts32Final
Bruins7-3-0, 14pts

Devils8-2-0, 16pts24Final
Blue Jackets8-1-1, 17pts

Avalanche4-3-2, 10ptsFri, Mar 25Nationwide Arena
Blue Jackets8-1-1, 17pts

Blue Jackets8-1-1, 17ptsSat, Mar 26Pepsi Center
Avalanche4-3-2, 10pts

Blue Jackets8-1-1, 17ptsThu, Mar 31Wells Fargo Center
Flyers4-4-1, 9pts

Team Leaders

GOALS
Bryan Rust
4
ASSISTS
Cale Makar
7
POINTS
Cale Makar
10
PLUS/MINUS
Ryan Nugent-Hopkins
5
WINS
Connor Hellebuyck
6
SV%
Jonathan Bernier
0.965

Team Stats


Goals For
25
2.50 GFG
Shots For
349
34.90 Avg
Power Play Percentage
21.7%
5 GF
Offensive Zone Start
48.4%
Goals Against
18
1.80 GAA
Shots Against
365
36.50 Avg
Penalty Kill Percentage
75.0%
6 GA
Defensive Zone Start
51.6%

Injury status

Player POS Status Injury Out For Expected Return
 

Columbus Blue Jackets Info

Blue Jackets
General Manager
Head Coach
ConferenceEastern Conference
DivisionMetropolitan

AHL Affiliation

Blue Jackets
Team NameMonsters
CityCleveland
Head Coach
DivisionDivision 4

Arena Info

StadiumNationwide Arena
Capacity18,000
Attendance0
Season Tickets7,200

Roster Info

Active Roster22/23
Contract Limit44/50
Prospects & Player's Rights0
Reserve List44/90

Salary Cap

Total Cap Hit$0
Cap Hit Percentage0%
Projected Cap Space$79,500,000
Retains & Buyout$0

Team History

28-1-1 (17PTS)
Record (W-L-OTL)46-34-12 (104PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft