Blue JacketsColumbus Blue Jackets
4-4-1, 9pts · 9th 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
Johnny Gaudreau0LW100.00573581876293958660867959836660595072256,750,000$/4yrs
Evgeny Kuznetsov0C100.00623571818190898083837262766760685071267,800,000$/1yrs
Ryan Johansen0C100.00693577788792937790826768727462765071268,000,000$/7yrs
Zach Hyman0LW/RW100.00724767737987847273707378736053505068262,250,000$/3yrs
Brett Connolly0RW100.00633572738281947258707264726755755067261,500,000$/1yrs
Cedric Paquette0C100.00954459667779936584626781666354595066251,000,000$/1yrs
Loui Eriksson0LW/RW100.00553573697681946860686668678761415065336,000,000$/4yrs
Tyler Motte0C100.0087357566698087655963657965565257506523925,000$/1yrs
Marcus Johansson0LW100.00613580727884717165707060717457665065272,749,999$/1yrs
Alexander Kerfoot0C100.0058357472658291718072686470565247506524925,000$/1yrs
Brandon Dubinsky0C100.00844469668180746585656467658360405064325,850,000$/3yrs
Mattias Janmark0C100.00593576687683946763686373655953555064252,300,000$/1yrs
Morgan Rielly0D100.00643584818292957930867275766961855072245,000,000$/4yrs
Ryan Murray0D100.00613585727888697130816183666359865069252,825,000$/1yrs
Greg Pateryn0D100.00764173628880936230636174626053475066282,250,000$/3yrs
Samuel Girard0D100.0064358668638495673072626365565273506320728,333$/1yrs
Marc Methot0D100.00703581589279545830585859587558265060334,900,000$/1yrs
Julius Honka0D100.0062357563687464633066606062535182505922863,333$/1yrs
Scratches
Evan Rodrigues0LW100.0060417669668487688269657267565242506425650,000$/1yrs
Vladimir Sobotka0C100.00703572657081826484646368647156375063313,500,000$/2yrs
Jordan Weal0C100.00603574686682766785676565665752565062261,750,000$/1yrs
Kenny Agostino0LW100.0077447069746788686068636165535148506226700,000$/1yrs
Josh Currie0RW100.0077357366657260656465647265515037506125687,500$/1yrs
TEAM AVERAGE100.00683775707582846962706668686455575065
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Jake Allen098.0088868581878688878687807079625081284,350,000$/3yrs
Malcolm Subban0100.008272888081808281808175536877507524650,000$/1yrs
Scratches
TEAM AVERAGE99.0085798781848385848384786274705078
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Casey Mittelstadt0C100.0060357568788290677466676167535187566319925,000$/1yrs
Dillon Dube0C100.0054357168706062686866645665515070565920778,333$/1yrs
Tom Pyatt0C/LW/RW100.00553575656965686559595865606855374558311,100,000$/1yrs
Jacob Larsson0D100.0062357661807084613059566158525180565921894,166$/2yrs
Oliver Kylington0D100.0055357567716569673064635764525068565821730,833$/1yrs
Andreas Englund0D100.0055355558814451583052525252505075565222775,833$/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
Peterson Lauture
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
1Ryan JohansenBlue JacketsBlue Jackets0C9235-36014256128.00%116.4102221000170154.44%90166000.6802
2Evgeny KuznetsovBlue JacketsBlue Jackets0C9044-5601314990.00%219.0702223000290044.35%124141000.4702
3Johnny GaudreauBlue JacketsBlue Jackets0LW9314-50081961815.79%119.1111223000301040.63%64164000.4702
4Marcus JohanssonBlue JacketsBlue Jackets0LW9224-32071011720.00%417.2600021000230145.45%1182000.5100
5Zach HymanBlue JacketsBlue Jackets0LW/RW9224-440151541013.33%718.0921323011241050.00%8102000.4901
6Greg PaterynBlue JacketsBlue Jackets0D9033-1120159930.00%1321.240001900032000.00%017000.3100
7Morgan RiellyBlue JacketsBlue Jackets0D9213-920624688.33%1226.731012610149100.00%0714000.2500
8Ryan MurrayBlue JacketsBlue Jackets0D9123-8100414437.14%2825.301122600043000.00%0110000.2600
9Cedric PaquetteBlue JacketsBlue Jackets0C9112-316013951111.11%813.02000100050051.90%7986000.3400
10Loui ErikssonBlue JacketsBlue Jackets0LW/RW4112000073614.29%312.8500000005000.00%021000.7800
11Brett ConnollyBlue JacketsBlue Jackets0RW9022060111911160.00%617.8301121011310051.35%37172000.2511
12Marc MethotBlue JacketsBlue Jackets0D9011-30022230.00%513.7400000004000.00%005000.1600
13Brandon DubinskyBlue JacketsBlue Jackets0C41010203110100.00%011.050000000000100.00%123000.4500
14Samuel GirardBlue JacketsBlue Jackets0D9101-100272214.29%1521.681011900041000.00%016000.1000
15Alexander KerfootBlue JacketsBlue Jackets0C9101-340317685.88%48.8200000000000.00%271000.2500
16Mattias JanmarkBlue JacketsBlue Jackets0C9011-22009260.00%08.710000000000100.00%172000.2600
17Evan RodriguesBlue JacketsBlue Jackets0LW5011-3402144130.00%312.630000000000100.00%143000.3200
18Julius HonkaBlue JacketsBlue Jackets0D9000-310032350.00%613.1900000000000.00%036000.0000
19Tyler MotteBlue JacketsBlue Jackets0C9000-2809103100.00%48.99000000000042.42%3324000.0000
20Josh CurrieBlue JacketsBlue Jackets0RW5000-34048150.00%212.1000000000000.00%111000.0000
Team Total or Average162172542-61980134235981557.23%12416.3168142281233413247.79%45212786000.3218
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
1Jake AllenBlue JacketsBlue Jackets94410.9132.774980023265142200.875890211
2Malcolm SubbanBlue JacketsBlue Jackets20000.7088.2451007249000.000009000
Team Total or Average114410.8963.285490030289151200.875899211
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 JacketsDucks1000000112-110.500112001000261167527138166116.67%40100.00%06812853.13%10422047.27%4410442.31%24152591570.0%3.8%92.6%96.4DULL
2Blue JacketsIslanders1100000021121.000246001010208660311014202150.00%70100.00%16812853.13%10422047.27%4410442.31%171027915650.0%10.0%96.8%106.8LUCKY
3Blue JacketsMaple Leafs2110000048-420.500461000013053201815068292421500.00%12191.67%06812853.13%10422047.27%4410442.31%40275216271236.4%7.5%88.2%95.8Unlucky
4Blue JacketsStars1100000042221.000459001120267811034158114250.00%4175.00%06812853.13%10422047.27%4410442.31%201225713666.7%15.4%94.1%109.5LUCKY
5Blue JacketsPenguins10100000210-800.0002240000202671450371112162150.00%6350.00%06812853.13%10422047.27%4410442.31%191225814612.5%7.7%73.0%80.7Unlucky
6Blue JacketsSabres1010000013-200.000123001000341310110311410146116.67%50100.00%06812853.13%10422047.27%4410442.31%24162181470.0%2.9%90.3%93.3Unlucky
7Blue JacketsBlackhawks1010000013-200.000123000010194213027111216100.00%6183.33%06812853.13%10422047.27%4410442.31%201324814733.3%5.3%88.9%94.2Unlucky
8Blue JacketsHurricanes1000001032121.0003360000213110611934211020200.00%5180.00%06812853.13%10422047.27%4410442.31%211427815775.0%9.7%94.1%103.8LUCKY
_Vs Division31100010713-640.66779160010517725262291024236566233.33%18477.78%16812853.13%10422047.27%4410442.31%58368026452035.7%9.1%87.3%96.3FUN
_Vs Conference623000101224-1260.500121729002181164585448920185709117317.65%35585.71%16812853.13%10422047.27%4410442.31%1238015450874032.1%7.3%88.1%95.4Unlucky
_Since Last GM Reset934000111831-1390.5001825430042111235807079142891249813428621.43%49785.71%16812853.13%10422047.27%4410442.31%188122230751316233.3%7.7%89.3%96.9Unlucky
Total934000111831-1390.5001825430042111235807079142891249813428621.43%49785.71%16812853.13%10422047.27%4410442.31%188122230751316233.3%7.7%89.3%96.9Unlucky

Puck Time
Offensive Zone 20
Neutral Zone 14
Defensive Zone 25
Puck Time
Offensive Zone Start 128
Neutral Zone Start 104
Defensive Zone Start 220
Puck Time
With Puck 28
Without Puck 32
Faceoffs
Faceoffs Won 216
Faceoffs Lost 236
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 16.720.31
3rd Period 25.430.68
Overtime 27.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 0.71.65
3rd Period 1.92.67
Overtime 2.02.83
Even Strenght Goal 11
PP Goal 6
PK Goal 1
Empty Net Goal 0
Home Away
Win 31
Lost 13
Overtime Lost 10
PP Attempt 28
PP Goal 6
PK Attempt 49
PK Goal Against 7
Home
Shots For 26.1
Shots Against 32.1
Goals For 2.0
Goals Against 3.4
Hits 14.9
Shots Blocked 13.8
Pim 10.9
Cap Hit
Blue Jackets
Projected Total Cap Hit74,904,165$
Projected Cap Space4,595,835$
Retains And Buyout Cap Hit0$
Salary Cap To Date8,054,220$
Players In Salary Cap25
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
Alexander Kerfoot C24925,000$925,000$
Brandon Dubinsky C325,850,000$5,850,000$ 5,850,000$ 5,850,000$
Brett Connolly RW261,500,000$1,500,000$
Cedric Paquette C251,000,000$1,000,000$
Evan Rodrigues LW25650,000$650,000$
Evgeny Kuznetsov C267,800,000$7,800,000$
Greg Pateryn D282,250,000$2,250,000$ 2,250,000$ 2,250,000$
Jake Allen G284,350,000$4,350,000$ 4,350,000$ 4,350,000$
Johnny Gaudreau LW256,750,000$6,750,000$ 6,750,000$ 6,750,000$ 6,750,000$
Jordan Weal C261,750,000$1,750,000$
Josh Currie RW25687,500$687,500$
Julius Honka D22863,333$863,333$
Kenny Agostino LW26700,000$700,000$
Loui Eriksson LW/RW336,000,000$6,000,000$ 6,000,000$ 6,000,000$ 6,000,000$
Malcolm Subban G24650,000$650,000$
Marc Methot D334,900,000$4,900,000$
Marcus Johansson LW272,749,999$2,749,999$
Mattias Janmark C252,300,000$2,300,000$
Morgan Rielly D245,000,000$5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$
Ryan Johansen C268,000,000$8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$ 8,000,000$
Ryan Murray D252,825,000$2,825,000$
Samuel Girard D20728,333$728,333$
Tyler Motte C23925,000$925,000$
Vladimir Sobotka C313,500,000$3,500,000$ 3,500,000$
Zach Hyman LW/RW262,250,000$2,250,000$ 2,250,000$ 2,250,000$

Lines
Forward Lines


#0 - Evgeny Kuznetsov


#0 - Johnny Gaudreau


#0 - Zach Hyman


#0 - Marcus Johansson


#0 - Ryan Johansen


#0 - Brett Connolly


#0 - Loui Eriksson


#0 - Cedric Paquette


#0 - Brandon Dubinsky


#0 - Mattias Janmark


#0 - Tyler Motte


#0 - Alexander Kerfoot

Defensive Pairings


#0 - Morgan Rielly


#0 - Ryan Murray


#0 - Greg Pateryn


#0 - Samuel Girard


#0 - Marc Methot


#0 - Julius Honka

1st Power Play Unit


#0 - Evgeny Kuznetsov


#0 - Johnny Gaudreau


#0 - Zach Hyman


#0 - Morgan Rielly


#0 - Ryan Murray

2nd Power Play Unit


#0 - Marcus Johansson


#0 - Ryan Johansen


#0 - Brett Connolly


#0 - Greg Pateryn


#0 - Samuel Girard

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 JacketsDucks1000000112-110.500112001000261167527138166116.67%40100.00%06812853.13%10422047.27%4410442.31%24152591570.0%3.8%92.6%96.4DULL
2Blue JacketsIslanders1100000021121.000246001010208660311014202150.00%70100.00%16812853.13%10422047.27%4410442.31%171027915650.0%10.0%96.8%106.8LUCKY
3Blue JacketsMaple Leafs2110000048-420.500461000013053201815068292421500.00%12191.67%06812853.13%10422047.27%4410442.31%40275216271236.4%7.5%88.2%95.8Unlucky
4Blue JacketsStars1100000042221.000459001120267811034158114250.00%4175.00%06812853.13%10422047.27%4410442.31%201225713666.7%15.4%94.1%109.5LUCKY
5Blue JacketsPenguins10100000210-800.0002240000202671450371112162150.00%6350.00%06812853.13%10422047.27%4410442.31%191225814612.5%7.7%73.0%80.7Unlucky
6Blue JacketsSabres1010000013-200.000123001000341310110311410146116.67%50100.00%06812853.13%10422047.27%4410442.31%24162181470.0%2.9%90.3%93.3Unlucky
7Blue JacketsBlackhawks1010000013-200.000123000010194213027111216100.00%6183.33%06812853.13%10422047.27%4410442.31%201324814733.3%5.3%88.9%94.2Unlucky
8Blue JacketsHurricanes1000001032121.0003360000213110611934211020200.00%5180.00%06812853.13%10422047.27%4410442.31%211427815775.0%9.7%94.1%103.8LUCKY
_Vs Division31100010713-640.66779160010517725262291024236566233.33%18477.78%16812853.13%10422047.27%4410442.31%58368026452035.7%9.1%87.3%96.3FUN
_Vs Conference623000101224-1260.500121729002181164585448920185709117317.65%35585.71%16812853.13%10422047.27%4410442.31%1238015450874032.1%7.3%88.1%95.4Unlucky
_Since Last GM Reset934000111831-1390.5001825430042111235807079142891249813428621.43%49785.71%16812853.13%10422047.27%4410442.31%188122230751316233.3%7.7%89.3%96.9Unlucky
Total934000111831-1390.5001825430042111235807079142891249813428621.43%49785.71%16812853.13%10422047.27%4410442.31%188122230751316233.3%7.7%89.3%96.9Unlucky

Puck Time
Offensive Zone 20
Neutral Zone 14
Defensive Zone 25
Puck Time
Offensive Zone Start 128
Neutral Zone Start 104
Defensive Zone Start 220
Puck Time
With Puck 28
Without Puck 32
Faceoffs
Faceoffs Won 216
Faceoffs Lost 236
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 16.720.31
3rd Period 25.430.68
Overtime 27.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 0.71.65
3rd Period 1.92.67
Overtime 2.02.83
Even Strenght Goal 11
PP Goal 6
PK Goal 1
Empty Net Goal 0
Home Away
Win 31
Lost 13
Overtime Lost 10
PP Attempt 28
PP Goal 6
PK Attempt 49
PK Goal Against 7
Home
Shots For 26.1
Shots Against 32.1
Goals For 2.0
Goals Against 3.4
Hits 14.9
Shots Blocked 13.8
Pim 10.9
Schedule
DateMatchup Result Detail
2019-10-05Blue JacketsMaple Leafs@Blue JacketsBlue JacketsMaple Leafs1,Blue Jackets3RECAP
2019-10-06Blue JacketsBlue Jackets@Blue JacketsPenguinsBlue Jackets2,Penguins10RECAP
2019-10-08Blue JacketsSabres@Blue JacketsBlue JacketsSabres3,Blue Jackets1RECAP
2019-10-12Blue JacketsDucks@Blue JacketsBlue JacketsDucks2,Blue Jackets1 (SO)RECAP
2019-10-13Blue JacketsBlue Jackets@Blue JacketsHurricanesBlue Jackets3,Hurricanes2 (SO)RECAP
2019-10-17Blue JacketsStars@Blue JacketsBlue JacketsStars2,Blue Jackets4RECAP
2019-10-19Blue JacketsBlue Jackets@Blue JacketsBlackhawksBlue Jackets1,Blackhawks3RECAP
2019-10-20Blue JacketsIslanders@Blue JacketsBlue JacketsIslanders1,Blue Jackets2RECAP
2019-10-22Blue JacketsBlue Jackets@Blue JacketsMaple LeafsBlue Jackets1,Maple Leafs7RECAP
2019-10-25Blue JacketsHurricanes@Blue JacketsBlue Jackets
2019-10-27Blue JacketsBlue Jackets@Blue JacketsFlyers
2019-10-31Blue JacketsOilers@Blue JacketsBlue Jackets
2019-11-02Blue JacketsBlue Jackets@Blue JacketsBlues
2019-11-03Blue JacketsFlames@Blue JacketsBlue Jackets
2019-11-06Blue JacketsGolden Knights@Blue JacketsBlue Jackets
2019-11-08Blue JacketsBlue Jackets@Blue JacketsCoyotes
2019-11-10Blue JacketsBlue Jackets@Blue JacketsAvalanche
2019-11-13Blue JacketsBlue Jackets@Blue JacketsCanadiens
2019-11-16Blue JacketsBlues@Blue JacketsBlue Jackets
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
74,904,165$ 0$ 74,904,165$ 4,595,835$

ArenaGoal HornAbout us
NameNationwide Arena
CityColumbus
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$25$200$
Attendance28711235639388192774882
Attendance PCT95.70%94.25%93.88%96.39%97.64%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 17164 - 95.36% 619,322$3,096,610$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
74,904,165$ 74,904,165$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
8,054,220$ 74,904,165$ 8,054,220$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
22,295,592$ 166 402,711$ 66,850,026$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
71,294,505$ 74,904,165$ -247,586,569$ -296,585,482$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Johnny GaudreauAGE:25Blue JacketsUSA
Loui ErikssonAGE:33Blue JacketsSWE
Marcus JohanssonAGE:27Blue JacketsSWE
Zach HymanAGE:26Blue JacketsCAN
Tom PyattAGE:31Blue JacketsCAN
Kenny AgostinoAGE:26Blue JacketsUSA
Evan RodriguesAGE:25Blue JacketsCAN
Ryan JohansenAGE:26Blue JacketsCAN
Evgeny KuznetsovAGE:26Blue JacketsRUS
Brandon DubinskyAGE:32Blue JacketsUSA
Vladimir SobotkaAGE:31Blue JacketsCZE
Mattias JanmarkAGE:25Blue JacketsSWE
Jordan WealAGE:26Blue JacketsCAN
Tom PyattAGE:31Blue JacketsCAN
Cedric PaquetteAGE:25Blue JacketsCAN
Tyler MotteAGE:23Blue JacketsUSA
Alexander KerfootAGE:24Blue JacketsCAN
Casey MittelstadtAGE:19Blue JacketsUSA
Dillon DubeAGE:20Blue JacketsCAN
Loui ErikssonAGE:33Blue JacketsSWE
Zach HymanAGE:26Blue JacketsCAN
Brett ConnollyAGE:26Blue JacketsCAN
Tom PyattAGE:31Blue JacketsCAN
Josh CurrieAGE:25Blue JacketsCAN

Defense #1Defense #2Goalie
Morgan RiellyAGE:24Blue JacketsCAN
Marc MethotAGE:33Blue JacketsCAN
Ryan MurrayAGE:25Blue JacketsCAN
Greg PaterynAGE:28Blue JacketsUSA
Jacob LarssonAGE:21Blue JacketsSWE
Julius HonkaAGE:22Blue JacketsFIN
Andreas EnglundAGE:22Blue JacketsSWE
Oliver KylingtonAGE:21Blue JacketsSWE
Samuel GirardAGE:20Blue JacketsCAN
Jake AllenAGE:28Blue JacketsCAN
Malcolm SubbanAGE:24Blue JacketsCAN

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 MascherinBlue JacketsBlue Jackets
Aiden DudasBlue JacketsBlue Jackets
Benton MaassBlue JacketsBlue Jackets
Brent PedersonBlue JacketsBlue Jackets
Cal FooteBlue JacketsBlue Jackets
Chris BourqueBlue JacketsBlue Jackets
Christian KrygierBlue JacketsBlue Jackets
Christopher BrownBlue JacketsBlue Jackets
Cole FonstadBlue JacketsBlue Jackets
Collin AdamsBlue JacketsBlue Jackets
Connor TimminsBlue JacketsBlue Jackets
Ddemetrios KoumontzisBlue JacketsBlue Jackets
Dillon HamaliukBlue JacketsBlue Jackets201971
Dmitri SemykinBlue JacketsBlue Jackets
Dmitry SokolovBlue JacketsBlue Jackets
Egor SerdyukBlue JacketsBlue Jackets2019174
Emilio PettersenBlue JacketsBlue Jackets
Eric LockeBlue JacketsBlue Jackets
Gustav LindstromBlue JacketsBlue Jackets
Ilya SamsonovBlue JacketsBlue Jackets
Jason KasdorfBlue JacketsBlue Jackets
Jeremy HelvigBlue JacketsBlue Jackets
Joel FarabeeBlue JacketsBlue Jackets
John NybergBlue JacketsBlue Jackets
Joni TuulolaBlue JacketsBlue Jackets
Jordan HollettBlue JacketsBlue Jackets
Kyle PlatzerBlue JacketsBlue Jackets
Mathew HillBlue JacketsBlue Jackets2019195
Matthew StienburgBlue JacketsBlue Jackets201981
Mattias ElfstromBlue JacketsBlue Jackets
Maxwell GildonBlue JacketsBlue Jackets
Michal TeplyBlue JacketsBlue Jackets2019116
Mikhail MaltsevBlue JacketsBlue Jackets
Oliver KylingtonBlue JacketsBlue Jackets
Riley TufteBlue JacketsBlue Jackets
Semyon ChystyakovBlue JacketsBlue Jackets2019129
Shane PintoBlue JacketsBlue Jackets201940
Trevor ZegrasBlue JacketsBlue Jackets20196

Injuries
No Injury or Suspension.

Game Center

Islanders7-1-0, 14pts12Final
Blue Jackets4-4-1, 9pts

Blue Jackets4-4-1, 9pts17Final
Maple Leafs8-2-0, 16pts

Hurricanes4-3-2, 10ptsFri, Oct 25Nationwide Arena
Blue Jackets4-4-1, 9pts

Blue Jackets4-4-1, 9ptsSun, Oct 27Wachovia Center
Flyers5-0-2, 12pts

Oilers1-8-0, 2ptsThu, Oct 31Nationwide Arena
Blue Jackets4-4-1, 9pts

Team Leaders

GOALS
Johnny Gaudreau
3
ASSISTS
Evgeny Kuznetsov
4
POINTS
Ryan Johansen
5
PLUS/MINUS
Loui Eriksson
0
WINS
Jake Allen
4
SV%
Jake Allen
0.913

Team Stats


Goals For
18
2.00 GFG
Shots For
235
26.11 Avg
Power Play Percentage
21.4%
6 GF
Offensive Zone Start
36.8%
Goals Against
31
3.44 GAA
Shots Against
289
32.11 Avg
Penalty Kill Percentage
85.7%
7 GA
Defensive Zone Start
63.2%
 

Team Info

Blue Jackets
General ManagerPeterson Lauture
Head Coach
ConferenceConference Est
DivisionMetropolitain

Blue Jackets Affiliation

Blue Jackets
Team NameSyracuse
CitySyracuse
Head Coach
DivisionDivision 5

Arena Info

StadiumNationwide Arena
Capacity18,000
Attendance17,164
Season Tickets7,200

Salary Cap

Total Cap Hit74,904,165$
Cap Hit Percentage94.22%
Projected Cap Space4,595,835$
Retains & Buyout0$

Finance

Team Revenue3,096,610$
Estimated Revenue25,392,202$
Estimated Expenses74,904,246$
Operating Income-49,512,044$
Bank Account-247,586,569$

Team History

20194-4-1 (9PTS)
Record (W-L-OTL)40-43-8 (63PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft