object(SQLite3Result)#20 (0) { }
Final
TOR3
LAK0
Final
VAN3
NAS1
Full Scoreboard »»
Blue JacketsColumbus Blue Jackets
4-2-3, 11pts · 6th 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
Ryan Nugent-Hopkins (A)C/LW/RW100.00604778866880888064887271778288074306,940,000$/2yrs
Adrian KempeLW/RW100.00704771897877927749657767887065071275,000,000$/1yrs
Lawson CrouseLW100.00785272798773806749627173686876070265,750,000$/2yrs
Reilly SmithLW/RW100.00634584726972798149707568858187070326,540,000$/2yrs
Marcus JohanssonC/RW100.00504591747871807749676768698375067332,550,000$/1yrs
Max DomiC/LW/RW100.00555462806870866673726963647469066283,250,000$/1yrs
Dominik KubalikLW100.00654578826765846249635954646160062281,550,000$/3yrs
Yegor SharangovichLW/RW100.00554682767566785651626462745555062251,100,000$/2yrs
Kevin LabancLW/RW100.00654565756763666149585864676863061271,450,000$/1yrs
Matthew NietoLW/RW100.00644678756762775849535561577671060311,250,000$/1yrs
Teddy BluegerC100.00694578706862664980605171636159060291,250,000$/1yrs
Kent JohnsonC/LW/RW100.00474580685862755850636053694949058211,100,000$/2yrs
Shea Theodore (A)D100.00494583877684808846756484767064074289,000,000$/3yrs
Brandon CarloD100.00715075808577836946484983497165068272,500,000$/1yrs
Nikita ZadorovD100.00774965759374907446486174607369068285,000,000$/1yrs
Jacob MiddletonD100.00715667728476845746484980485153065271,100,000$/1yrs
Trevor van RiemsdykD100.00494882757375806546515474597267063321,330,000$/1yrs
JJ MoserD100.00574776726480835746585167494951061231,100,000$/1yrs
Scratches
Carson LatimerRW100.0045454545454545454545454545454504520750,000$/1yrs
Garrett BrownD100.0045454545454545454545454545454504519750,000$/2yrs
TEAM AVERAGE100.00604773747169776551606066646564064
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Connor Hellebuyck099.0085928186878189868377738282083306,500,000$/1yrs
Collin Delia0100.006059677368586969676369595906529750,000$/1yrs
Scratches
TEAM AVERAGE99.5073767480787079787570717171074
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
1Ryan Nugent-HopkinsBlue JacketsBlue Jackets0C/LW/RW95611-5751725151120.00%518.6933600070051.87%18743001.3102
2Adrian KempeBlue JacketsBlue Jackets0LW/RW92810-57525347185.88%319.0415600080041.67%12102001.1702
3Shea TheodoreBlue JacketsBlue Jackets0D9268-3557251198.00%1322.171120008100.00%0815000.8001
4Max DomiBlue JacketsBlue Jackets0C/LW/RW9156413515255154.00%517.6000000090057.80%10973000.7600
5Marcus JohanssonBlue JacketsBlue Jackets0C/RW941542072881814.29%216.3700000021038.98%59100010.6800
6Teddy BluegerBlue JacketsBlue Jackets0C90552215193030.00%313.2900000090060.20%9805000.8400
7Matthew NietoBlue JacketsBlue Jackets0LW/RW92243209182711.11%211.1600000012000.00%041000.8000
8Reilly SmithBlue JacketsBlue Jackets0LW/RW9404-555221711823.53%218.2100000080135.71%1442000.4912
9Jacob MiddletonBlue JacketsBlue Jackets0D9123-61551566416.67%1519.7110100018000.00%027000.3400
10JJ MoserBlue JacketsBlue Jackets0D9033475125310.00%817.370000006000.00%022000.3800
11Lawson CrouseBlue JacketsBlue Jackets0LW911237527243104.17%317.6300000080033.33%1833000.2511
12Nikita ZadorovBlue JacketsBlue Jackets0D9022-61410178470.00%721.1600000020000.00%0510000.2100
13Trevor van RiemsdykBlue JacketsBlue Jackets0D902247548330.00%618.1701100014000.00%027000.2400
14Yegor SharangovichBlue JacketsBlue Jackets0LW/RW920212081271016.67%314.43000000120025.00%452000.3111
15Brandon CarloBlue JacketsBlue Jackets0D9011020189210.00%1622.4800000020000.00%035000.1000
16Dominik KubalikBlue JacketsBlue Jackets0LW9101-60012246174.17%312.5800000010042.86%1474000.1800
17Kevin LabancBlue JacketsBlue Jackets0LW/RW9000-4001611360.00%19.6400000080062.50%843000.0000
18Kent JohnsonBlue JacketsBlue Jackets0C/LW/RW9000-44045120.00%09.5600000000035.71%2811000.0000
Team Total or Average162254469-1912060254287971508.71%9716.63610161620001772150.82%5518175010.5139
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 Jackets73220.9063.384262024255112100.800572000
2Collin DeliaBlue JacketsBlue Jackets21010.9182.381260056135001.000427000
Team Total or Average94230.9083.155522029316147100.889999000
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 JacketsFlames1100000042221.00047110011203517612033174186116.67%2150.00%010720751.69%11020952.63%6312052.50%221320816875.0%11.4%93.9%105.4LUCKY
2Blue JacketsFlyers1000001043121.00045900120233614126361328263266.67%40100.00%010720751.69%11020952.63%6312052.50%1910251120940.0%12.1%91.7%103.8LUCKY
3Blue JacketsDucks1000001043121.00044800021125797631119432150.00%2150.00%010720751.69%11020952.63%6312052.50%2011241019960.0%16.0%90.3%106.3FUN
4Blue JacketsStars1000010023-110.500246000110296101303881832100.00%30100.00%010720751.69%11020952.63%6312052.50%211222916740.0%6.9%92.1%99.0DULL
5Blue JacketsCanadiens1100000053221.0005914000410341215703287244125.00%10100.00%010720751.69%11020952.63%6312052.50%211220917857.1%14.7%90.6%105.3FUN
6Blue JacketsIslanders1000010012-110.500112000100317111033041139200.00%30100.00%010720751.69%11020952.63%6312052.50%221220918933.3%3.2%93.3%96.6DULL
7Blue JacketsWild1000010034-110.50036900021036101016045117313133.33%110.00%010720751.69%11020952.63%6312052.50%201222917840.0%8.3%91.1%99.4Unlucky
8Blue JacketsRed Wings1010000025-300.000246000200291016303811819000.00%4175.00%010720751.69%11020952.63%6312052.50%181024917733.3%6.9%86.8%93.7Unlucky
9Blue JacketsRangers1010000024-200.0002460011003513814033143022100.00%5180.00%010720751.69%11020952.63%6312052.50%2011201018840.0%5.7%87.9%93.6Unlucky
_Vs Division3010011079-230.50071017002402992633369993169876233.33%12191.67%010720751.69%11020952.63%6312052.50%62346630572638.5%7.1%90.9%98.0Unlucky
_Vs Conference512001101417-350.50014233700210121624864469169508413010330.00%17288.24%010720751.69%11020952.63%6312052.50%1025611149924342.3%8.6%89.9%98.6Unlucky
_Since Last GM Reset922003202729-2110.6112744710031663287889994153169712225422627.27%25580.00%010720751.69%11020952.63%6312052.50%188106201871627746.7%9.4%90.8%100.2FUN
Total922003202729-2110.6112744710031663287889994153169712225422627.27%25580.00%010720751.69%11020952.63%6312052.50%188106201871627746.7%9.4%90.8%100.2FUN

Puck Time
Offensive Zone 20
Neutral Zone 18
Defensive Zone 22
Puck Time
Offensive Zone Start 207
Neutral Zone Start 120
Defensive Zone Start 209
Puck Time
With Puck 30
Without Puck 31
Faceoffs
Faceoffs Won 280
Faceoffs Lost 256
Team Average Shots after League Average Shots after
1st Period 9.89.57
2nd Period 20.820.31
3rd Period 31.230.68
Overtime 32.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 2.11.65
3rd Period 2.82.67
Overtime 3.12.83
Even Strenght Goal 21
PP Goal 6
PK Goal 0
Empty Net Goal 0
Home Away
Win 13
Lost 02
Overtime Lost 21
PP Attempt 22
PP Goal 6
PK Attempt 25
PK Goal Against 5
Home
Shots For 31.9
Shots Against 35.1
Goals For 3.0
Goals Against 3.2
Hits 28.2
Shots Blocked 10.8
Pim 13.6
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
Contracts50/50
LTIR Players0
Blue Jackets Roster Pos Age Cap Hit 13-14 14-15 15-16 16-17
Adrian Kempe LW/RW27$5,000,000$5,000,000
Brandon Carlo D27$2,500,000$2,500,000
Carson Latimer RW20$750,000$750,000
Collin Delia G29$750,000$750,000
Connor Hellebuyck G30$6,500,000$6,500,000
Dominik Kubalik LW28$1,550,000$1,550,000 $1,550,000 $1,550,000
Garrett Brown D19$750,000$750,000 $750,000
JJ Moser D23$1,100,000$1,100,000
Jacob Middleton D27$1,100,000$1,100,000
Kent Johnson C/LW/RW21$1,100,000$1,100,000 $1,100,000
Kevin Labanc LW/RW27$1,450,000$1,450,000
Lawson Crouse LW26$5,750,000$5,750,000 $5,750,000
Marcus Johansson C/RW33$2,550,000$2,550,000
Matthew Nieto LW/RW31$1,250,000$1,250,000
Max Domi C/LW/RW28$3,250,000$3,250,000
Nikita Zadorov D28$5,000,000$5,000,000
Reilly Smith LW/RW32$6,540,000$6,540,000 $6,540,000
Ryan Nugent-Hopkins C/LW/RW30$6,940,000$6,940,000 $6,940,000
Shea Theodore D28$9,000,000$9,000,000 $9,000,000 $9,000,000
Teddy Blueger C29$1,250,000$1,250,000
Trevor van Riemsdyk D32$1,330,000$1,330,000
Yegor Sharangovich LW/RW25$1,100,000$1,100,000 $1,100,000
Non-Roster Pos Age Cap Hit 13-14 14-15 15-16 16-17
Bobby Brink RW22$750,000$750,000 $750,000
Carl Lindbom G25$750,000$750,000 $750,000
Denver Barkey C18$750,000$750,000
Filip Roos D24$750,000$750,000 $750,000
Gage Goncalves C22$750,000$750,000 $750,000
Isak Rosen LW20$750,000$750,000
Jachym Kondelik C23$750,000$750,000
Jack Peart D20$750,000$750,000
Juraj Slafkovsky LW19$750,000$750,000 $750,000
Kalle Vaisanen LW20$750,000$750,000
Kasper Simontaival RW21$750,000$750,000 $750,000
Luca Munzenberger D21$750,000$750,000
Lukas Dragicevic D18$750,000$750,000
Mavrik Bourque C21$750,000$750,000 $750,000
Niklas Kokko G19$750,000$750,000 $750,000
Noah Ostlund C19$750,000$750,000 $750,000
Oliver Kylington D26$1,100,000$1,100,000
Owen Beck C19$750,000$750,000 $750,000
Riley Kidney C20$750,000$750,000
Ryan Healey D19$750,000$750,000 $750,000
Ryan O'Rourke D21$750,000$750,000 $750,000
Ryder Korczak C21$750,000$750,000 $750,000
Sam Rinzel D19$750,000$750,000 $750,000
William Stromgren LW20$750,000$750,000 $750,000
William Whitelaw RW18$750,000$750,000
Yegor Zamula D23$750,000$750,000
Zach Nehring RW18$750,000$750,000
Zachary L'Heureux LW20$750,000$750,000

Lines
Forward Lines

Adrian Kempe

Ryan Nugent-Hopkins

Reilly Smith

Lawson Crouse

Marcus Johansson

Max Domi

Dominik Kubalik

Teddy Blueger

Yegor Sharangovich

Kevin Labanc

Kent Johnson

Matthew Nieto

Defensive Pairings

Shea Theodore

Brandon Carlo

Nikita Zadorov

Jacob Middleton

Trevor van Riemsdyk

JJ Moser

1st Power Play Unit

Adrian Kempe

Ryan Nugent-Hopkins

Reilly Smith

Shea Theodore

Brandon Carlo

2nd Power Play Unit

Lawson Crouse

Marcus Johansson

Max Domi

Nikita Zadorov

Jacob Middleton

Goalies

Connor Hellebuyck

Collin Delia

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 JacketsFlames1100000042221.00047110011203517612033174186116.67%2150.00%010720751.69%11020952.63%6312052.50%221320816875.0%11.4%93.9%105.4LUCKY
2Blue JacketsFlyers1000001043121.00045900120233614126361328263266.67%40100.00%010720751.69%11020952.63%6312052.50%1910251120940.0%12.1%91.7%103.8LUCKY
3Blue JacketsDucks1000001043121.00044800021125797631119432150.00%2150.00%010720751.69%11020952.63%6312052.50%2011241019960.0%16.0%90.3%106.3FUN
4Blue JacketsStars1000010023-110.500246000110296101303881832100.00%30100.00%010720751.69%11020952.63%6312052.50%211222916740.0%6.9%92.1%99.0DULL
5Blue JacketsCanadiens1100000053221.0005914000410341215703287244125.00%10100.00%010720751.69%11020952.63%6312052.50%211220917857.1%14.7%90.6%105.3FUN
6Blue JacketsIslanders1000010012-110.500112000100317111033041139200.00%30100.00%010720751.69%11020952.63%6312052.50%221220918933.3%3.2%93.3%96.6DULL
7Blue JacketsWild1000010034-110.50036900021036101016045117313133.33%110.00%010720751.69%11020952.63%6312052.50%201222917840.0%8.3%91.1%99.4Unlucky
8Blue JacketsRed Wings1010000025-300.000246000200291016303811819000.00%4175.00%010720751.69%11020952.63%6312052.50%181024917733.3%6.9%86.8%93.7Unlucky
9Blue JacketsRangers1010000024-200.0002460011003513814033143022100.00%5180.00%010720751.69%11020952.63%6312052.50%2011201018840.0%5.7%87.9%93.6Unlucky
_Vs Division3010011079-230.50071017002402992633369993169876233.33%12191.67%010720751.69%11020952.63%6312052.50%62346630572638.5%7.1%90.9%98.0Unlucky
_Vs Conference512001101417-350.50014233700210121624864469169508413010330.00%17288.24%010720751.69%11020952.63%6312052.50%1025611149924342.3%8.6%89.9%98.6Unlucky
_Since Last GM Reset922003202729-2110.6112744710031663287889994153169712225422627.27%25580.00%010720751.69%11020952.63%6312052.50%188106201871627746.7%9.4%90.8%100.2FUN
Total922003202729-2110.6112744710031663287889994153169712225422627.27%25580.00%010720751.69%11020952.63%6312052.50%188106201871627746.7%9.4%90.8%100.2FUN

Puck Time
Offensive Zone 20
Neutral Zone 18
Defensive Zone 22
Puck Time
Offensive Zone Start 207
Neutral Zone Start 120
Defensive Zone Start 209
Puck Time
With Puck 30
Without Puck 31
Faceoffs
Faceoffs Won 280
Faceoffs Lost 256
Team Average Shots after League Average Shots after
1st Period 9.89.57
2nd Period 20.820.31
3rd Period 31.230.68
Overtime 32.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 2.11.65
3rd Period 2.82.67
Overtime 3.12.83
Even Strenght Goal 21
PP Goal 6
PK Goal 0
Empty Net Goal 0
Home Away
Win 13
Lost 02
Overtime Lost 21
PP Attempt 22
PP Goal 6
PK Attempt 25
PK Goal Against 5
Home
Shots For 31.9
Shots Against 35.1
Goals For 3.0
Goals Against 3.2
Hits 28.2
Shots Blocked 10.8
Pim 13.6
Schedule
DateMatchup Result Detail
Tue, Mar 1Blue JacketsCBJ@Blue JacketsPHICBJ4,PHI3 (SO)RECAP
Thu, Mar 3Blue JacketsCBJ@Blue JacketsNYRCBJ2,NYR4RECAP
Sat, Mar 5Blue JacketsCBJ@Blue JacketsDETCBJ2,DET5RECAP
Wed, Mar 9Blue JacketsCBJ@Blue JacketsCGYCBJ4,CGY2RECAP
Thu, Mar 10Blue JacketsMIN@Blue JacketsCBJMIN4,CBJ3 (OT)RECAP
Sun, Mar 13Blue JacketsCBJ@Blue JacketsANACBJ4,ANA3 (SO)RECAP
Tue, Mar 15Blue JacketsMTL@Blue JacketsCBJMTL3,CBJ5RECAP
Thu, Mar 17Blue JacketsCBJ@Blue JacketsNYICBJ1,NYI2 (OT)RECAP
Sat, Mar 19Blue JacketsDAL@Blue JacketsCBJDAL3,CBJ2 (OT)RECAP
Tue, Mar 22Blue JacketsCBJ@Blue JacketsTBL
Thu, Mar 24Blue JacketsWAS@Blue JacketsCBJ
Sat, Mar 26Blue JacketsFLA@Blue JacketsCBJ
Tue, Mar 29Blue JacketsCBJ@Blue JacketsDAL
Thu, Mar 31Blue JacketsDET@Blue JacketsCBJ
Fri, Apr 1Blue JacketsNYR@Blue JacketsCBJ
Sun, Apr 3Blue JacketsCBJ@Blue JacketsPIT
Tue, Apr 5Blue JacketsCBJ@Blue JacketsARI
Thu, Apr 7Blue JacketsWAS@Blue JacketsCBJ
Fri, Apr 8Blue JacketsPHI@Blue JacketsCBJ
Mon, Apr 11Blue JacketsCBJ@Blue JacketsCHI
Wed, Apr 13Blue JacketsNJD@Blue JacketsCBJ
Fri, Apr 15Blue JacketsCAR@Blue JacketsCBJ
Sat, Apr 16Blue JacketsCBJ@Blue JacketsBOS
Mon, Apr 18Blue JacketsCBJ@Blue JacketsMTL
Wed, Apr 20Blue JacketsCBJ@Blue JacketsOTT
Fri, Apr 22Blue JacketsBOS@Blue JacketsCBJ
Sun, Apr 24Blue JacketsCBJ@Blue JacketsLAK
Tue, Apr 26Blue JacketsNYI@Blue JacketsCBJ
Wed, Apr 27Blue JacketsCBJ@Blue JacketsSTL
Fri, Apr 29Blue JacketsCBJ@Blue JacketsFLA
Tue, May 3Blue JacketsTOR@Blue JacketsCBJ
Thu, May 5Blue JacketsCBJ@Blue JacketsNJD
Sun, May 8Blue JacketsBUF@Blue JacketsCBJ
Tue, May 10Blue JacketsCBJ@Blue JacketsWAS
Thu, May 12Blue JacketsCBJ@Blue JacketsTOR
Mon, May 16Blue JacketsNJD@Blue JacketsCBJ
Wed, May 18Blue JacketsCBJ@Blue JacketsTOR
Thu, May 19Blue JacketsBUF@Blue JacketsCBJ
Sun, May 22Blue JacketsCBJ@Blue JacketsBOS
Tue, May 24Blue JacketsPHI@Blue JacketsCBJ
Thu, May 26Blue JacketsCBJ@Blue JacketsMIN
Sun, May 29Blue JacketsWPG@Blue JacketsCBJ
Thu, Jun 2Blue JacketsCBJ@Blue JacketsSEA
Sat, Jun 4Blue JacketsCBJ@Blue JacketsVAN
Wed, Jun 8Blue JacketsCBJ@Blue JacketsNJD
Sun, Jun 12Blue JacketsEDM@Blue JacketsCBJ
Tue, Jun 14Blue JacketsCGY@Blue JacketsCBJ
Thu, Jun 16Blue JacketsVAN@Blue JacketsCBJ
Fri, Jun 17Blue JacketsSEA@Blue JacketsCBJ
Sun, Jun 19Blue JacketsSTL@Blue JacketsCBJ
Thu, Jun 30Blue JacketsCBJ@Blue JacketsTBL
Sun, Jul 3Blue JacketsOTT@Blue JacketsCBJ
Thu, Jul 7Blue JacketsSJS@Blue JacketsCBJ
Sun, Jul 10Blue JacketsLAK@Blue JacketsCBJ
Mon, Jul 11Blue JacketsANA@Blue JacketsCBJ
Wed, Jul 13Blue JacketsCBJ@Blue JacketsBUF
Fri, Jul 15Blue JacketsCBJ@Blue JacketsNYR
Mon, Jul 18Blue JacketsNYR@Blue JacketsCBJ
Tue, Jul 19Blue JacketsCBJ@Blue JacketsCAR
Thu, Jul 21Blue JacketsCHI@Blue JacketsCBJ
Sat, Jul 23Blue JacketsCBJ@Blue JacketsVGK
Sun, Jul 24Blue JacketsPIT@Blue JacketsCBJ
Tue, Jul 26Blue JacketsCBJ@Blue JacketsEDM
Thu, Jul 28Blue JacketsCBJ@Blue JacketsNAS
Sun, Jul 31Blue JacketsMTL@Blue JacketsCBJ
Tue, Aug 2Blue JacketsCBJ@Blue JacketsOTT
Thu, Aug 4Blue JacketsCBJ@Blue JacketsSJS
Fri, Aug 5Blue JacketsCBJ@Blue JacketsWPG
Sun, Aug 7Blue JacketsDET@Blue JacketsCBJ
Wed, Aug 10Blue JacketsCOL@Blue JacketsCBJ
Thu, Aug 11Blue JacketsVGK@Blue JacketsCBJ
Sun, Aug 14Blue JacketsARI@Blue JacketsCBJ
Tue, Aug 16Blue JacketsPIT@Blue JacketsCBJ
Thu, Aug 18Blue JacketsCBJ@Blue JacketsPIT
Sat, Aug 20Blue JacketsCBJ@Blue JacketsCOL
Tue, Aug 23Blue JacketsCBJ@Blue JacketsNYI
Thu, Aug 25Blue JacketsCBJ@Blue JacketsPHI
Fri, Aug 26Blue JacketsCAR@Blue JacketsCBJ
Sun, Aug 28Blue JacketsTBL@Blue JacketsCBJ
Tue, Aug 30Blue JacketsFLA@Blue JacketsCBJ
Thu, Sep 1Blue JacketsNAS@Blue JacketsCBJ
Sun, Sep 4Blue JacketsCBJ@Blue JacketsCAR

Finance
Salary Cap
Players Total Salaries Retained Salary Total Cap Hit Estimated Cap Space
$66,510,000 $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
38 0 - 0.00% $0$018000100

Expenses
Players Total Salaries Players Total Average Salaries Coaches Salaries Special Salary Cap Value
$66,510,000 $66,510,000 $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
$0 170 $346,406 $58,889,020

Team Total Estimate
Estimated Season Expenses Estimated Season Salary Cap Current Bank Account Projected Bank Account
$58,889,020 $0 $70,000,000 $11,110,980
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left Wing Center Right Wing
Ryan Nugent-HopkinsAGE:30Blue JacketsCAN
Reilly SmithAGE:32Blue JacketsCAN
Lawson CrouseAGE:26Blue JacketsCAN
Adrian KempeAGE:27Blue JacketsSWE
Max DomiAGE:28Blue JacketsCAN
Dominik KubalikAGE:28Blue JacketsCZE
Kevin LabancAGE:27Blue JacketsUSA
Matthew NietoAGE:31Blue JacketsUSA
Yegor SharangovichAGE:25Blue JacketsBLR
Kent JohnsonAGE:21Blue JacketsCAN
Juraj SlafkovskyAGE:19Blue JacketsSVK
Isak RosenAGE:20Blue JacketsSWE
Zachary L'HeureuxAGE:20Blue JacketsCAN
William StromgrenAGE:20Blue JacketsSWE
Kalle VaisanenAGE:20Blue JacketsFIN
Ryan Nugent-HopkinsAGE:30Blue JacketsCAN
Max DomiAGE:28Blue JacketsCAN
Marcus JohanssonAGE:33Blue JacketsSWE
Teddy BluegerAGE:29Blue JacketsLVA
Kent JohnsonAGE:21Blue JacketsCAN
Noah OstlundAGE:19Blue JacketsSWE
Owen BeckAGE:19Blue JacketsCAN
Denver BarkeyAGE:18Blue JacketsCAN
Gage GoncalvesAGE:22Blue JacketsCAN
Jachym KondelikAGE:23Blue JacketsCZE
Mavrik BourqueAGE:21Blue JacketsCAN
Riley KidneyAGE:20Blue JacketsCAN
Ryder KorczakAGE:21Blue JacketsCAN
Ryan Nugent-HopkinsAGE:30Blue JacketsCAN
Reilly SmithAGE:32Blue JacketsCAN
Adrian KempeAGE:27Blue JacketsSWE
Max DomiAGE:28Blue JacketsCAN
Marcus JohanssonAGE:33Blue JacketsSWE
Kevin LabancAGE:27Blue JacketsUSA
Matthew NietoAGE:31Blue JacketsUSA
Yegor SharangovichAGE:25Blue JacketsBLR
Kent JohnsonAGE:21Blue JacketsCAN
Carson LatimerAGE:20Blue JacketsCAN
Bobby BrinkAGE:22Blue JacketsUSA
William WhitelawAGE:18Blue JacketsUSA
Zach NehringAGE:18Blue JacketsUSA
Kasper SimontaivalAGE:21Blue JacketsFIN

Defense #1 Defense #2 Goalie
Shea TheodoreAGE:28Blue JacketsCAN
Nikita ZadorovAGE:28Blue JacketsRUS
Brandon CarloAGE:27Blue JacketsUSA
Trevor van RiemsdykAGE:32Blue JacketsUSA
Jacob MiddletonAGE:27Blue JacketsCAN
JJ MoserAGE:23Blue JacketsSWI
Oliver KylingtonAGE:26Blue JacketsSWE
Garrett BrownAGE:19Blue JacketsUSA
Ryan HealeyAGE:19Blue JacketsUSA
Sam RinzelAGE:19Blue JacketsUSA
Filip RoosAGE:24Blue JacketsSWE
Lukas DragicevicAGE:18Blue JacketsCAN
Yegor ZamulaAGE:23Blue JacketsRUS
Luca MunzenbergerAGE:21Blue JacketsGER
Jack PeartAGE:20Blue JacketsUSA
Ryan O'RourkeAGE:21Blue JacketsCAN
Connor HellebuyckAGE:30Blue JacketsUSA
Collin DeliaAGE:29Blue JacketsUSA
Niklas KokkoAGE:19Blue JacketsFIN
Carl LindbomAGE:25Blue JacketsSWE

Draft Picks
Year Round 1Round 2Round 3Round 4
4
5
6
7
8

** 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
4
5
6
7
8

** 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 Jackets4-2-3, 11pts12Final
Islanders4-3-1, 9pts

Stars5-1-1, 11pts32Final
Blue Jackets4-2-3, 11pts

Blue Jackets4-2-3, 11ptsTue, Mar 22Amalie Arena
Lightning6-2-1, 13pts

Capitals5-3-0, 10ptsThu, Mar 24Nationwide Arena
Blue Jackets4-2-3, 11pts

Panthers5-3-0, 10ptsSat, Mar 26Nationwide Arena
Blue Jackets4-2-3, 11pts

Team Leaders

GOALS
Ryan Nugent-Hopkins
5
ASSISTS
Adrian Kempe
8
POINTS
Ryan Nugent-Hopkins
11
PLUS/MINUS
Marcus Johansson
4
WINS
Connor Hellebuyck
3
SV%
Collin Delia
0.918

Team Stats


Goals For
27
3.00 GFG
Shots For
287
31.89 Avg
Power Play Percentage
27.3%
6 GF
Offensive Zone Start
49.8%
Goals Against
29
3.22 GAA
Shots Against
316
35.11 Avg
Penalty Kill Percentage
80.0%
5 GA
Defensive Zone Start
50.2%

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 Limit50/50
Prospects & Player's Rights0
Reserve List50/90

Salary Cap

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

Team History

34-2-3 (11PTS)
Record (W-L-OTL)84-62-27 (195PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft