Blue JacketsColumbus Blue Jackets
5-9-5, 15pts · 16th in Conference Est
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Matthew Tkachuk0LW100.00704468828188938167797861805958885072201,775,000$/1yrs
Kyle Connor0LW100.00563578787491957771737867785757825070211,775,000$/1yrs
Jonathan Drouin0LW100.00633576757386947470756965726359865068235,500,000$/6yrs
Nick Bjugstad0C100.00783575709583776978666966696755715067264,100,000$/2yrs
Brett Howden0C100.0067357968828279678369647566535180506620863,333$/1yrs
Alex Iafallo0LW100.0068357770728695695868687169565242566624925,000$/1yrs
Andrew Cogliano0C100.00653573666680916563656369648862504965313,250,000$/3yrs
Jason Pominville0RW100.00583576706880866969676961699263325065355,600,000$/1yrs
Pat Maroon0LW100.00775663698881876864686659676855385065301,750,000$/1yrs
Ryan Callahan0RW100.00753575686877656758676672678059315065335,800,000$/2yrs
Joey Anderson0RW100.0065357564707267636461626563515066506020925,000$/2yrs
Jayson Megna0C100.0052896570765050707063635163555136505928650,000$/1yrs
Jacob Trouba0D100.00713574758492957430816582706660835074245,500,000$/1yrs
Aaron Ekblad0D100.00723876719094957030726869696655915070227,500,000$/4yrs
Cody Ceci0D100.00743583688291876830716573676855805069244,300,000$/1yrs
Vince Dunn0D100.0062417271758091703072675969565269506521894,167$/2yrs
Tim Heed0D100.0060357568687568683072636066535148506227650,000$/1yrs
Matt Irwin0D100.0077476964797057643066616063635427506130650,000$/2yrs
Scratches
Chase De Leo0C100.0050357070655050707063635663505060505822650,000$/1yrs
TEAM AVERAGE100.00664174707779807056696765686455615066
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Juuse Saros0100.0091778568908991908990835674605081231,500,000$/1yrs
Cory Schneider0100.0080778483797880797879748080485077326,000,000$/2yrs
Scratches
Peter Budaj0100.0070659577696970696969657874305070361,024,999$/1yrs
TEAM AVERAGE100.0080738876797980797979747176465076
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Tyson Jost0C100.00623575677178916668656567665652866063201,704,000$/1yrs
Anders Bjork0LW100.0053357566726760656558586361525155605822925,000$/1yrs
Vinni Lettieri0C100.0058357068712763677067665466525143605723925,000$/1yrs
Jake Bean0D100.0051356769755151693057575457505085575520863,333$/1yrs
Dante Fabbro0D100.0059357754727352543053555555505083575420925,000$/1yrs
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Eric Beausoleil
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 AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Kyle ConnorBlue JacketsBlue Jackets0LW1961016-240238727356.90%822.67381165000450040.73%545168010.7413
2Matthew TkachukBlue JacketsBlue Jackets0LW196915-13810349030436.67%1023.16571264000561145.58%1472712000.6805
3Nick BjugstadBlue JacketsBlue Jackets0C19358-2100302782011.11%1121.4712366000200047.06%3488000.3915
4Jonathan DrouinBlue JacketsBlue Jackets0LW19246-3160235828503.45%419.7911251000640033.33%242411000.3201
5Brett HowdenBlue JacketsBlue Jackets0C19235-260193712185.41%414.8412334000100153.85%3954000.3500
6Pat MaroonBlue JacketsBlue Jackets0LW19145-2220274115182.44%511.91011500040080.00%583000.4400
7Andrew CoglianoBlue JacketsBlue Jackets0C19224-112021369125.56%513.090004000290043.59%3933000.3200
8Cody CeciBlue JacketsBlue Jackets0D19314-24027165718.75%1825.373037000044010.00%0725000.1700
9Jason PominvilleBlue JacketsBlue Jackets0RW19224-100134811254.17%311.710002000000044.21%9572000.3600
10Alex IafalloBlue JacketsBlue Jackets0LW18224-420183913205.13%416.111015000011035.89%24888000.2801
11Aaron EkbladBlue JacketsBlue Jackets0D19123-5195323012163.33%2727.720116900043000.00%01517000.1100
12Jacob TroubaBlue JacketsBlue Jackets0D1903304019301190.00%1922.190004900068000.00%01416000.1400
13Jayson MegnaBlue JacketsBlue Jackets0C191232161010205125.00%27.1400000000100.00%102000.4400
14Ryan CallahanBlue JacketsBlue Jackets0RW1903320017178120.00%27.34000000000042.22%4533000.4300
15Joey AndersonBlue JacketsBlue Jackets0RW192022201292422.22%27.24000100000142.86%1405000.2900
16Tim HeedBlue JacketsBlue Jackets0D19101-120812448.33%1919.841014900068100.00%0013000.0500
17Matt IrwinBlue JacketsBlue Jackets0D190110175228560.00%1814.9000000000000.00%004000.0700
18Vince DunnBlue JacketsBlue Jackets0D190000100411330.00%512.7700030008000.00%069000.0000
19Chase De LeoBlue JacketsBlue Jackets0C100000001010.00%07.4800000000000.00%010000.0000
Team Total or Average342345387-20184303596172083155.51%16616.601622386080004664441.34%1236152153010.31215
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
1Juuse SarosBlue JacketsBlue Jackets64020.9501.62370001019984200.5004613121
2Cory SchneiderBlue JacketsBlue Jackets90630.9152.715540025293133100.556996111
Team Total or Average154650.9292.279240035492217300.538131519232
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 JacketsDucks1010000025-300.000224000110371017100401112165240.00%6350.00%020547243.43%20750940.67%9925538.82%21122381570.0%5.4%87.5%92.9Unlucky
2Blue JacketsCanadiens1010000014-300.0001120010004611181703191519400.00%5260.00%020547243.43%20750940.67%9925538.82%221320817833.3%2.2%87.1%89.3Unlucky
3Blue JacketsStars1010000012-100.000112000100409141702251233200.00%6266.67%020547243.43%20750940.67%9925538.82%2010209189100.0%2.5%90.9%93.4Unlucky
4Blue JacketsPenguins1100000041321.000471100112036101412027132198450.00%10100.00%020547243.43%20750940.67%9925538.82%23131881890.0%11.1%96.3%107.4LUCKY
5Blue JacketsAvalanche1000000123-110.50023500011028713833611820400.00%40100.00%020547243.43%20750940.67%9925538.82%2110241019940.0%7.1%91.7%98.8DULL
6Blue JacketsMaple Leafs2010000135-210.250347002100762721267712521375240.00%8187.50%020547243.43%20750940.67%9925538.82%44254318361720.0%3.9%93.0%96.9DULL
7Blue JacketsCoyotes1000000123-110.500224000110346188437118145120.00%40100.00%020547243.43%20750940.67%9925538.82%2313231018925.0%5.9%91.9%97.8DULL
8Blue JacketsBlackhawks1010000013-200.000123000100351313903210428500.00%2150.00%020547243.43%20750940.67%9925538.82%221218818933.3%2.9%90.6%93.5Unlucky
9Blue JacketsHurricanes2020000005-500.00000000000043112210072202938700.00%12558.33%020547243.43%20750940.67%9925538.82%371846203517nan%0.0%93.1%93.1DULL
10Blue JacketsFlames1100000031221.000358000120327111403691020200.00%5180.00%020547243.43%20750940.67%9925538.82%2112229168100.0%9.4%97.2%106.6LUCKY
11Blue JacketsSabres1010000014-300.00012300001034911140263919700.00%2150.00%020547243.43%20750940.67%9925538.82%221319917825.0%2.9%84.6%87.6Unlucky
12Blue JacketsFlyers1000001032121.00034700011236101213432101283133.33%6266.67%020547243.43%20750940.67%9925538.82%19102510198100.0%8.3%93.8%102.1DULL
13Blue JacketsOilers1100000051421.00059140030203315612031714202150.00%2150.00%020547243.43%20750940.67%9925538.82%2113218178100.0%15.2%96.8%111.9LUCKY
14Blue JacketsIslanders1000000123-110.500235001010266910333512146233.33%6266.67%020547243.43%20750940.67%9925538.82%221223111980.0%7.7%90.9%98.6Unlucky
15Blue JacketsBlues2010010026-410.2502460002005823191606111636800.00%3233.33%020547243.43%20750940.67%9925538.82%43254117341833.3%3.4%90.2%93.6Unlucky
16Blue JacketsGolden Knights1100000032121.00034700102023887034610185360.00%5180.00%020547243.43%20750940.67%9925538.82%1892491780.0%13.0%94.1%107.2LUCKY
_Vs Division51200011911-250.50091423002242141375745716448557924729.17%25964.00%020547243.43%20750940.67%9925538.82%1045511350924450.0%6.4%93.3%99.7DULL
_Vs Conference915000121424-1060.33314213500535229784107102142928510015440922.50%401367.50%020547243.43%20750940.67%9925538.82%193108197871637931.3%4.7%91.8%96.5DULL
_Since Last GM Reset1949001143550-15150.3953553880091114261718222620321621166184359781620.51%772468.83%020547243.43%20750940.67%9925538.82%40722941718034016742.2%5.7%91.9%97.6DULL
Total1949001143550-15150.3953553880091114261718222620321621166184359781620.51%772468.83%020547243.43%20750940.67%9925538.82%40722941718034016742.2%5.7%91.9%97.6DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 472
Neutral Zone Start 255
Defensive Zone Start 509
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 511
Faceoffs Lost 725
Team Average Shots after League Average Shots after
1st Period 9.69.57
2nd Period 21.520.31
3rd Period 32.230.68
Overtime 33.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.11.65
3rd Period 1.82.67
Overtime 1.92.83
Even Strenght Goal 19
PP Goal 16
PK Goal 0
Empty Net Goal 0
Home Away
Win 32
Lost 63
Overtime Lost 14
PP Attempt 78
PP Goal 16
PK Attempt 77
PK Goal Against 24
Home
Shots For 32.5
Shots Against 32.7
Goals For 1.8
Goals Against 2.6
Hits 18.9
Shots Blocked 8.7
Pim 9.7
Cap Hit
Blue Jackets
Projected Total Cap Hit61,582,499$
Projected Cap Space17,917,501$
Retains And Buyout Cap Hit0$
Salary Cap To Date15,603,783$
Players In Salary Cap22
LTIR Players0
Blue Jackets Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Aaron Ekblad D227,500,000$7,500,000$ 7,500,000$ 7,500,000$ 7,500,000$
Alex Iafallo LW24925,000$925,000$
Andrew Cogliano C313,250,000$3,250,000$ 3,250,000$ 3,250,000$
Brett Howden C20863,333$863,333$
Chase De Leo C22650,000$650,000$
Cody Ceci D244,300,000$4,300,000$
Cory Schneider G326,000,000$6,000,000$ 6,000,000$
Jacob Trouba D245,500,000$5,500,000$
Jason Pominville RW355,600,000$5,600,000$
Jayson Megna C28650,000$650,000$
Joey Anderson RW20925,000$925,000$ 925,000$
Jonathan Drouin LW235,500,000$5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$
Juuse Saros G231,500,000$1,500,000$
Kyle Connor LW211,775,000$1,775,000$
Matt Irwin D30650,000$650,000$ 650,000$
Matthew Tkachuk LW201,775,000$1,775,000$
Nick Bjugstad C264,100,000$4,100,000$ 4,100,000$
Pat Maroon LW301,750,000$1,750,000$
Peter Budaj G361,024,999$1,024,999$
Ryan Callahan RW335,800,000$5,800,000$ 5,800,000$
Tim Heed D27650,000$650,000$
Vince Dunn D21894,167$894,167$ 894,167$

Lines
Forward Lines


#0 - Matthew Tkachuk


#0 - Kyle Connor


#0 - Nick Bjugstad


#0 - Brett Howden


#0 - Alex Iafallo


#0 - Jonathan Drouin


#0 - Pat Maroon


#0 - Jason Pominville


#0 - Andrew Cogliano


#0 - Joey Anderson


#0 - Ryan Callahan


#0 - Jayson Megna

Defensive Pairings


#0 - Aaron Ekblad


#0 - Cody Ceci


#0 - Matt Irwin


#0 - Jacob Trouba


#0 - Tim Heed


#0 - Vince Dunn

1st Power Play Unit


#0 - Matthew Tkachuk


#0 - Kyle Connor


#0 - Nick Bjugstad


#0 - Aaron Ekblad


#0 - Cody Ceci

2nd Power Play Unit


#0 - Brett Howden


#0 - Alex Iafallo


#0 - Jonathan Drouin


#0 - Tim Heed


#0 - Jacob Trouba

Goalies
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 JacketsDucks1010000025-300.000224000110371017100401112165240.00%6350.00%020547243.43%20750940.67%9925538.82%21122381570.0%5.4%87.5%92.9Unlucky
2Blue JacketsCanadiens1010000014-300.0001120010004611181703191519400.00%5260.00%020547243.43%20750940.67%9925538.82%221320817833.3%2.2%87.1%89.3Unlucky
3Blue JacketsStars1010000012-100.000112000100409141702251233200.00%6266.67%020547243.43%20750940.67%9925538.82%2010209189100.0%2.5%90.9%93.4Unlucky
4Blue JacketsPenguins1100000041321.000471100112036101412027132198450.00%10100.00%020547243.43%20750940.67%9925538.82%23131881890.0%11.1%96.3%107.4LUCKY
5Blue JacketsAvalanche1000000123-110.50023500011028713833611820400.00%40100.00%020547243.43%20750940.67%9925538.82%2110241019940.0%7.1%91.7%98.8DULL
6Blue JacketsMaple Leafs2010000135-210.250347002100762721267712521375240.00%8187.50%020547243.43%20750940.67%9925538.82%44254318361720.0%3.9%93.0%96.9DULL
7Blue JacketsCoyotes1000000123-110.500224000110346188437118145120.00%40100.00%020547243.43%20750940.67%9925538.82%2313231018925.0%5.9%91.9%97.8DULL
8Blue JacketsBlackhawks1010000013-200.000123000100351313903210428500.00%2150.00%020547243.43%20750940.67%9925538.82%221218818933.3%2.9%90.6%93.5Unlucky
9Blue JacketsHurricanes2020000005-500.00000000000043112210072202938700.00%12558.33%020547243.43%20750940.67%9925538.82%371846203517nan%0.0%93.1%93.1DULL
10Blue JacketsFlames1100000031221.000358000120327111403691020200.00%5180.00%020547243.43%20750940.67%9925538.82%2112229168100.0%9.4%97.2%106.6LUCKY
11Blue JacketsSabres1010000014-300.00012300001034911140263919700.00%2150.00%020547243.43%20750940.67%9925538.82%221319917825.0%2.9%84.6%87.6Unlucky
12Blue JacketsFlyers1000001032121.00034700011236101213432101283133.33%6266.67%020547243.43%20750940.67%9925538.82%19102510198100.0%8.3%93.8%102.1DULL
13Blue JacketsOilers1100000051421.00059140030203315612031714202150.00%2150.00%020547243.43%20750940.67%9925538.82%2113218178100.0%15.2%96.8%111.9LUCKY
14Blue JacketsIslanders1000000123-110.500235001010266910333512146233.33%6266.67%020547243.43%20750940.67%9925538.82%221223111980.0%7.7%90.9%98.6Unlucky
15Blue JacketsBlues2010010026-410.2502460002005823191606111636800.00%3233.33%020547243.43%20750940.67%9925538.82%43254117341833.3%3.4%90.2%93.6Unlucky
16Blue JacketsGolden Knights1100000032121.00034700102023887034610185360.00%5180.00%020547243.43%20750940.67%9925538.82%1892491780.0%13.0%94.1%107.2LUCKY
_Vs Division51200011911-250.50091423002242141375745716448557924729.17%25964.00%020547243.43%20750940.67%9925538.82%1045511350924450.0%6.4%93.3%99.7DULL
_Vs Conference915000121424-1060.33314213500535229784107102142928510015440922.50%401367.50%020547243.43%20750940.67%9925538.82%193108197871637931.3%4.7%91.8%96.5DULL
_Since Last GM Reset1949001143550-15150.3953553880091114261718222620321621166184359781620.51%772468.83%020547243.43%20750940.67%9925538.82%40722941718034016742.2%5.7%91.9%97.6DULL
Total1949001143550-15150.3953553880091114261718222620321621166184359781620.51%772468.83%020547243.43%20750940.67%9925538.82%40722941718034016742.2%5.7%91.9%97.6DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 472
Neutral Zone Start 255
Defensive Zone Start 509
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 511
Faceoffs Lost 725
Team Average Shots after League Average Shots after
1st Period 9.69.57
2nd Period 21.520.31
3rd Period 32.230.68
Overtime 33.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.11.65
3rd Period 1.82.67
Overtime 1.92.83
Even Strenght Goal 19
PP Goal 16
PK Goal 0
Empty Net Goal 0
Home Away
Win 32
Lost 63
Overtime Lost 14
PP Attempt 78
PP Goal 16
PK Attempt 77
PK Goal Against 24
Home
Shots For 32.5
Shots Against 32.7
Goals For 1.8
Goals Against 2.6
Hits 18.9
Shots Blocked 8.7
Pim 9.7
Schedule
DateMatchup Result Detail
2019-10-05Blue JacketsMaple Leafs@Blue JacketsBlue JacketsMaple Leafs1,Blue Jackets0RECAP
2019-10-06Blue JacketsBlue Jackets@Blue JacketsPenguinsBlue Jackets4,Penguins1RECAP
2019-10-08Blue JacketsSabres@Blue JacketsBlue JacketsSabres4,Blue Jackets1RECAP
2019-10-12Blue JacketsDucks@Blue JacketsBlue JacketsDucks5,Blue Jackets2RECAP
2019-10-13Blue JacketsBlue Jackets@Blue JacketsHurricanesBlue Jackets0,Hurricanes3RECAP
2019-10-17Blue JacketsStars@Blue JacketsBlue JacketsStars2,Blue Jackets1RECAP
2019-10-19Blue JacketsBlue Jackets@Blue JacketsBlackhawksBlue Jackets1,Blackhawks3RECAP
2019-10-20Blue JacketsIslanders@Blue JacketsBlue JacketsIslanders3,Blue Jackets2 (SO)RECAP
2019-10-22Blue JacketsBlue Jackets@Blue JacketsMaple LeafsBlue Jackets3,Maple Leafs4 (SO)RECAP
2019-10-25Blue JacketsHurricanes@Blue JacketsBlue JacketsHurricanes2,Blue Jackets0RECAP
2019-10-27Blue JacketsBlue Jackets@Blue JacketsFlyersBlue Jackets3,Flyers2 (SO)RECAP
2019-10-31Blue JacketsOilers@Blue JacketsBlue JacketsOilers1,Blue Jackets5RECAP
2019-11-02Blue JacketsBlue Jackets@Blue JacketsBluesBlue Jackets1,Blues2 (OT)RECAP
2019-11-03Blue JacketsFlames@Blue JacketsBlue JacketsFlames1,Blue Jackets3RECAP
2019-11-06Blue JacketsGolden Knights@Blue JacketsBlue JacketsGolden Knights2,Blue Jackets3RECAP
2019-11-08Blue JacketsBlue Jackets@Blue JacketsCoyotesBlue Jackets2,Coyotes3 (SO)RECAP
2019-11-10Blue JacketsBlue Jackets@Blue JacketsAvalancheBlue Jackets2,Avalanche3 (SO)RECAP
2019-11-13Blue JacketsBlue Jackets@Blue JacketsCanadiensBlue Jackets1,Canadiens4RECAP
2019-11-16Blue JacketsBlues@Blue JacketsBlue JacketsBlues4,Blue Jackets1RECAP
2019-11-20Blue JacketsCanadiens@Blue JacketsBlue Jackets
2019-11-22Blue JacketsRed Wings@Blue JacketsBlue Jackets
2019-11-24Blue JacketsBlue Jackets@Blue JacketsJets
2019-11-26Blue JacketsSenators@Blue JacketsBlue Jackets
2019-11-28Blue JacketsFlyers@Blue JacketsBlue Jackets
2019-11-30Blue JacketsPenguins@Blue JacketsBlue Jackets
2019-12-01Blue JacketsBlue Jackets@Blue JacketsIslanders
2019-12-04Blue JacketsCoyotes@Blue JacketsBlue Jackets
2019-12-06Blue JacketsRangers@Blue JacketsBlue Jackets
2019-12-08Blue JacketsBlue Jackets@Blue JacketsPanthers
2019-12-10Blue JacketsBlue Jackets@Blue JacketsCapitals
2019-12-13Blue JacketsBlue Jackets@Blue JacketsPenguins
2019-12-15Blue JacketsBlue Jackets@Blue JacketsSenators
2019-12-17Blue JacketsCapitals@Blue JacketsBlue Jackets
2019-12-18Blue JacketsBlue Jackets@Blue JacketsRed Wings
2019-12-20Blue JacketsKings@Blue JacketsBlue Jackets
2019-12-22Blue JacketsDevils@Blue JacketsBlue Jackets
2019-12-24Blue JacketsBlue Jackets@Blue JacketsIslanders
2019-12-28Blue JacketsBlue Jackets@Blue JacketsCapitals
2019-12-30Blue JacketsBlackhawks@Blue JacketsBlue Jackets
2020-01-01Blue JacketsPanthers@Blue JacketsBlue Jackets
2020-01-03Blue JacketsBlue Jackets@Blue JacketsBruins
2020-01-05Blue JacketsSharks@Blue JacketsBlue Jackets
2020-01-07Blue JacketsBlue Jackets@Blue JacketsKings
2020-01-08Blue JacketsBlue Jackets@Blue JacketsDucks
2020-01-10Blue JacketsBlue Jackets@Blue JacketsSharks
2020-01-12Blue JacketsBlue Jackets@Blue JacketsGolden Knights
2020-01-15Blue JacketsBruins@Blue JacketsBlue Jackets
2020-01-17Blue JacketsHurricanes@Blue JacketsBlue Jackets
2020-01-19Blue JacketsDevils@Blue JacketsBlue Jackets
2020-01-20Blue JacketsBlue Jackets@Blue JacketsRangers
2020-01-23Blue JacketsJets@Blue JacketsBlue Jackets
2020-02-02Blue JacketsBlue Jackets@Blue JacketsSabres
2020-02-03Blue JacketsBlue Jackets@Blue JacketsCanadiens
2020-02-05Blue JacketsPanthers@Blue JacketsBlue Jackets
2020-02-08Blue JacketsRed Wings@Blue JacketsBlue Jackets
2020-02-09Blue JacketsAvalanche@Blue JacketsBlue Jackets
2020-02-11Blue JacketsLightning@Blue JacketsBlue Jackets
2020-02-14Blue JacketsBlue Jackets@Blue JacketsSabres
2020-02-15Blue JacketsRangers@Blue JacketsBlue Jackets
2020-02-17Blue JacketsBlue Jackets@Blue JacketsDevils
2020-02-19Blue JacketsBlue Jackets@Blue JacketsFlyers
2020-02-21Blue JacketsFlyers@Blue JacketsBlue Jackets
2020-02-23Blue JacketsBlue Jackets@Blue JacketsPredators
2020-02-25Blue JacketsSenators@Blue JacketsBlue Jackets
2020-02-26Blue JacketsBlue Jackets@Blue JacketsWild
2020-02-29Blue JacketsWild@Blue JacketsBlue Jackets
2020-03-02Blue JacketsCanucks@Blue JacketsBlue Jackets
2020-03-05Blue JacketsBlue Jackets@Blue JacketsFlames
2020-03-08Blue JacketsBlue Jackets@Blue JacketsOilers
2020-03-09Blue JacketsBlue Jackets@Blue JacketsCanucks
2020-03-13Blue JacketsPenguins@Blue JacketsBlue Jackets
2020-03-15Blue JacketsPredators@Blue JacketsBlue Jackets
2020-03-17Blue JacketsBlue Jackets@Blue JacketsBruins
2020-03-20Blue JacketsCapitals@Blue JacketsBlue Jackets
2020-03-22Blue JacketsBlue Jackets@Blue JacketsMaple Leafs
2020-03-24Blue JacketsBlue Jackets@Blue JacketsDevils
2020-03-25Blue JacketsBlue Jackets@Blue JacketsRangers
2020-03-28Blue JacketsBlue Jackets@Blue JacketsLightning
2020-03-29Blue JacketsBlue Jackets@Blue JacketsStars
2020-03-31Blue JacketsIslanders@Blue JacketsBlue Jackets
2020-04-03Blue JacketsLightning@Blue JacketsBlue Jackets
2020-04-04Blue JacketsBlue Jackets@Blue JacketsHurricanes

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
61,582,499$ 0$ 61,582,499$ 17,917,501$

ArenaGoal HornAbout us
NameNationwide Arena
CityColumbus
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance579214642918964386279404
Attendance PCT96.54%92.86%94.82%96.57%94.04%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 17135 - 95.19% 606,641$6,066,411$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
61,582,499$ 61,582,499$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
15,603,783$ 61,582,499$ 15,603,783$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
18,805,874$ 139 331,089$ 46,021,371$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
50,139,867$ 61,582,499$ -263,773,781$ -295,107,774$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Jonathan DrouinAGE:23Blue JacketsCAN
Kyle ConnorAGE:21Blue JacketsUSA
Matthew TkachukAGE:20Blue JacketsUSA
Pat MaroonAGE:30Blue JacketsUSA
Alex IafalloAGE:24Blue JacketsUSA
Anders BjorkAGE:22Blue JacketsUSA
Nick BjugstadAGE:26Blue JacketsUSA
Andrew CoglianoAGE:31Blue JacketsCAN
Tyson JostAGE:20Blue JacketsCAN
Vinni LettieriAGE:23Blue JacketsUSA
Brett HowdenAGE:20Blue JacketsCAN
Jayson MegnaAGE:28Blue JacketsUSA
Chase De LeoAGE:22Blue JacketsUSA
Ryan CallahanAGE:33Blue JacketsUSA
Jason PominvilleAGE:35Blue JacketsCAN
Joey AndersonAGE:20Blue JacketsUSA

Defense #1Defense #2Goalie
Aaron EkbladAGE:22Blue JacketsCAN
Jacob TroubaAGE:24Blue JacketsUSA
Cody CeciAGE:24Blue JacketsCAN
Dante FabbroAGE:20Blue JacketsCAN
Vince DunnAGE:21Blue JacketsCAN
Jake BeanAGE:20Blue JacketsCAN
Tim HeedAGE:27Blue JacketsSWE
Matt IrwinAGE:30Blue JacketsCAN
Cory SchneiderAGE:32Blue JacketsUSA
Juuse SarosAGE:23Blue JacketsFIN
Peter BudajAGE:36Blue JacketsSVK
Alexandar GeorgievAGE:22Blue JacketsBGR

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** 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
1 ballo clb 2020Blue JacketsBlue Jackets
2 ballo clb 2020Blue JacketsBlue Jackets
Adam FoxBlue JacketsBlue Jackets
Artem ManukyanBlue JacketsBlue Jackets2018145
Ben FinkelsteinBlue JacketsBlue Jackets
Cole FraserBlue JacketsBlue Jackets2017134
Conor TimminsBlue JacketsBlue Jackets201731
David QuennevilleBlue JacketsBlue Jackets
Demetrios KoumontzisBlue JacketsBlue Jackets2018117
Dennis SeidenbergBlue JacketsBlue Jackets
Eric LockeBlue JacketsBlue Jackets
Ilya SamsonovBlue JacketsBlue Jackets
Ilya SorokinBlue JacketsBlue Jackets
Ivan ChekhovichBlue JacketsBlue Jackets2017169
Jack HughesBlue JacketsBlue Jackets20191
Jaromir JagrBlue JacketsBlue Jackets
Jason RobertsonBlue JacketsBlue Jackets201737
Jeremy DaviesBlue JacketsBlue Jackets
Jordin TootooBlue JacketsBlue Jackets
Kaapo KakkoBlue JacketsBlue Jackets20192
Michael CammalleriBlue JacketsBlue Jackets
Spencer KnightBlue JacketsBlue Jackets201914
Tomas KundratekBlue JacketsBlue Jackets
Tyler SoyBlue JacketsBlue Jackets
News



























Injuries
No Injury or Suspension.

Game Center

Blue Jackets5-9-5, 15pts14Final
Canadiens10-8-2, 22pts

Blues11-7-3, 25pts41Final
Blue Jackets5-9-5, 15pts

Canadiens10-8-2, 22ptsWed, Nov 20Nationwide Arena
Blue Jackets5-9-5, 15pts

Red Wings9-9-4, 22ptsFri, Nov 22Nationwide Arena
Blue Jackets5-9-5, 15pts

Blue Jackets5-9-5, 15ptsSun, Nov 24MTS Center
Jets9-9-3, 21pts

Team Leaders

GOALS
Kyle Connor
6
ASSISTS
Kyle Connor
10
POINTS
Kyle Connor
16
PLUS/MINUS
Joey Anderson
2
WINS
Juuse Saros
4
SV%
Juuse Saros
0.95

Team Stats


Goals For
35
1.84 GFG
Shots For
617
32.47 Avg
Power Play Percentage
20.5%
16 GF
Offensive Zone Start
48.1%
Goals Against
50
2.63 GAA
Shots Against
621
32.68 Avg
Penalty Kill Percentage
68.8%
24 GA
Defensive Zone Start
51.9%
 

Team Info

Blue Jackets
General ManagerEric Beausoleil
Head Coach
ConferenceConference Est
DivisionMetropolitain

Blue Jackets Affiliation

Blue Jackets
Team NameSyracuse
CitySyracuse
Head Coach
DivisionCentral

Arena Info

StadiumNationwide Arena
Capacity18,000
Attendance17,135
Season Tickets7,200

Salary Cap

Total Cap Hit61,582,499$
Cap Hit Percentage77.46%
Projected Cap Space17,917,501$
Retains & Buyout0$

Finance

Team Revenue6,066,411$
Estimated Revenue24,872,285$
Estimated Expenses61,625,154$
Operating Income-36,752,869$
Bank Account-263,773,781$

Team History

Playoff Appearances1
Playoff Record (W-L)3-4
Stanley Cup0

Entry Draft