Login

Columbus Blue Jackets
GP: 14 | W: 6 | L: 5 | OTL: 3 | P: 14
GF: 41 | GA: 46 | PP%: 12.24% | PK%: 70.73%
GM : Rambo En-na | Morale : 40 | Team Overall : 73
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Columbus Blue Jackets
6-5-3, 14pts
3
FINAL
0 Philadelphia Flyers
8-3-3, 19pts
Team Stats
L1StreakW1
2-3-2Home Record4-3-0
4-2-1Away Record4-0-3
5-3-2Last 10 Games6-2-2
2.93Goals Per Game3.43
3.29Goals Against Per Game3.00
12.24%Power Play Percentage23.53%
70.73%Penalty Kill Percentage88.24%
New York Rangers
6-7-1, 11pts
5
FINAL
1 Columbus Blue Jackets
6-5-3, 14pts
Team Stats
W2StreakL1
3-3-1Home Record2-3-2
3-4-0Away Record4-2-1
5-4-1Last 10 Games5-3-2
3.14Goals Per Game2.93
3.71Goals Against Per Game3.29
25.71%Power Play Percentage12.24%
68.63%Penalty Kill Percentage70.73%
Team Leaders
Goals
Auston Matthews
9
Assists
Adam Larsson
9
Points
Auston Matthews
16
Plus/Minus
Auston Matthews
4
Wins
Robin Lehner
6
Save Percentage
Linus Ullmark
0.946

Team Stats
Goals For
41
2.93 GFG
Shots For
468
33.43 Avg
Power Play Percentage
12.2%
6 GF
Offensive Zone Start
43.3%
Goals Against
46
3.29 GAA
Shots Against
411
29.36 Avg
Penalty Kill Percentage
70.7%%
12 GA
Defensive Zone Start
38.9%
Team Info

General ManagerRambo En-na
CoachLuke Richardson
DivisionMetropolitan
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameNationwide Arena
Capacity18,000
Attendance0
Season Tickets7,200


Roster Info

Pro Team20
Farm Team12
Contract Limit32 / 250
Prospects5


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap82,500,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account12,000,000$
Projected Bank Account12,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
1Auston MatthewsX100.00643792838591888689829567896875884078025211,640,250$
2Brandon TanevX100.0089369276708278726371779072737536407403033,500,000$
3Boone JennerX100.0074369170819088718973768369748662407302943,750,000$
4Paul StastnyX100.0061358972738890758674736971898033407203611,500,000$
5Evgenii DadonovX100.0061348572698690755873746475767739407003315,000,000$
6Jesse PuljujarviX100.0073379175878689725871726374656786407002413,000,000$
7Alexis LafreniereX100.006739887480838976646673657661659240690201925,000$
8Carl HagelinX100.0056378975718486685465638169817526406903412,750,000$
9Josh ArchibaldXX100.009438866771788863596566846477694240690291900,000$
10Logan O'ConnorX100.0065398872708286675366658964666745406902631,050,000$
11Ondrej KaseX100.0058349273708376715970747668697042406902611,500,000$
12Adam LarssonX100.0088398265859290643071658552777271407402934,000,000$
13Adam PelechX100.0069378664849290633075598850706855407302875,750,000$
14Zach WerenskiX100.0057388978839586763082737659686784407302569,583,333$
15David SavardX100.0086377861849189623071568351797338407203133,500,000$
16Erik GudbransonX100.0086836562948985583068598450767173407203044,000,000$
17Jack JohnsonX100.007138826180868358306655825088754640700351950,000$
18Josh BrownX100.0087687361938481583064557845687048407002821,275,000$
Scratches
Farm Team
1Quinton ByfieldX100.007637826893848166796467657261649343670202894,167$
2Aliaksei ProtasX100.008052926397798363756261635961636440650212888,333$
3Pat MaroonX100.007782646291798863576764566179742640650342500,000$
4Andre LeeX100.007142735491756453585550595362645940580222883,750$
5Jarred TinordiX100.008883775899877157306056794570716643690302900,000$
6Philip BrobergX100.007039816983817968306759635261638740660212863,333$
7Kaedan KorczakX100.006733825984797158305755655061637440630212789,167$
8Zach Aston-ReeseX100.0090398865768385646365668362696836406902810$
9Tyler BozakX100.0056359164758283668471638261847721406803610$
10Tyler PitlickX100.0082368967798378647163628058737159406703010$
11Roman PolakX100.0089467759888574563064558445857523407103610$
TEAM AVERAGE100.00744484678285836653686575617271564069
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary Average
1Robin Lehner100.009182839590899190899190798557408703135,000,000$
2Linus Ullmark100.009188828990899190899190718356408602935,000,000$
Scratches
Farm Team
1Chris Driedger100.008987828888878988878988688154408402823,500,000$
TEAM AVERAGE100.0090868291898890898890897383564086
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Luke Richardson72666665797470CAN531100,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Auston MatthewsColumbus Blue JacketsC149716420114870224012.86%237226.5913410460002453026.5953660000.8612000112
2Boone JennerColumbus Blue JacketsC1476133100275257144512.28%128920.6911210380110150020.6931600000.9001000103
3Adam LarssonColumbus Blue JacketsD142911-48037171671212.50%2037026.45123949000035100.00%002000.5900000110
4Brandon TanevColumbus Blue JacketsLW14639160393743122413.95%631422.451129460001441022.452910000.5712000102
5Zach WerenskiColumbus Blue JacketsD14279400223248138.33%1030221.62112935011028000.00%020000.5900000010
6Evgenii DadonovColumbus Blue JacketsRW1426836020123611255.56%026719.09000738000000019.091040000.6000000100
7Carl HagelinColumbus Blue JacketsLW142571009243410335.88%526719.09011738000020019.091900000.5200000010
8Jesse PuljujarviColumbus Blue JacketsRW141674401515235104.35%126018.60123746000000018.601810000.5400000000
9Jack JohnsonColumbus Blue JacketsD141562004871614.29%1418613.330000010117000.00%001000.6400000000
10Adam PelechColumbus Blue JacketsD14055-6201221247100.00%2333223.750111549000137000.00%004000.3000000000
11David SavardColumbus Blue JacketsD14145380411523984.35%1429421.030001035000025000.00%001000.3400000000
12Erik GudbransonColumbus Blue JacketsD14145120032752120.00%917912.800000000000000.00%001000.5600000000
13Paul StastnyColumbus Blue JacketsC14415-4003283882010.53%021315.27000000000160015.2721420000.4700000001
14Josh ArchibaldColumbus Blue JacketsLW/RW14044-51403013254200.00%018913.5200000000000013.521520000.4200000000
15Alexis LafreniereColumbus Blue JacketsLW141011208543525.00%1684.9200000000012004.92900000.2900000000
16Josh BrownColumbus Blue JacketsD14011200712010.00%2382.720000000001000.00%000000.5300000000
17Logan O'ConnorColumbus Blue JacketsRW14101-640321285143.57%218913.5300000000000013.531230000.1100000000
18Ondrej KaseColumbus Blue JacketsRW14011200469170.00%1564.030000000000004.03410000.3500000000
Team Total or Average252407411468603043534681292948.55%111419216.64612189342612352715052.71%1182229000.5425000548
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
1Robin LehnerColumbus Blue Jackets146520.8853.29785024337426000.7504140120
2Linus UllmarkColumbus Blue Jackets20010.9461.6075002370000.00%0014000
Team Total or Average166530.8913.148610245411260041414120


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam LarssonColumbus Blue JacketsD291992-11-12No208 Lbs6 ft3NoNoNo3Pro & Farm4,000,000$4,000,000$4,000,000$No4,000,000$4,000,000$Link
Adam PelechColumbus Blue JacketsD281994-08-16No205 Lbs6 ft3NoNoNo7Pro & Farm5,750,000$5,750,000$5,750,000$No5,750,000$5,750,000$5,750,000$5,750,000$5,750,000$5,750,000$Link
Alexis LafreniereColumbus Blue JacketsLW202001-10-11No196 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$NoLink
Auston MatthewsColumbus Blue JacketsC251997-09-17No205 Lbs6 ft3NoNoNo2Pro & Farm11,640,250$11,640,250$11,640,250$No11,640,250$Link
Boone JennerColumbus Blue JacketsC291993-06-15No205 Lbs6 ft2NoNoNo4Pro & Farm3,750,000$3,750,000$3,750,000$No3,750,000$3,750,000$3,750,000$Link
Brandon TanevColumbus Blue JacketsLW301991-12-31No180 Lbs6 ft0NoNoNo3Pro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$3,500,000$Link
Carl HagelinColumbus Blue JacketsLW341988-08-23No183 Lbs6 ft0NoNoNo1Pro & Farm2,750,000$2,750,000$2,750,000$NoLink
David SavardColumbus Blue JacketsD311990-10-22No234 Lbs6 ft1NoNoNo3Pro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$3,500,000$Link
Erik GudbransonColumbus Blue JacketsD301992-01-07No222 Lbs6 ft5NoNoNo4Pro & Farm4,000,000$4,000,000$4,000,000$No4,000,000$4,000,000$4,000,000$Link
Evgenii DadonovColumbus Blue JacketsRW331989-03-12No185 Lbs5 ft11NoNoNo1Pro & Farm5,000,000$5,000,000$5,000,000$NoLink
Jack JohnsonColumbus Blue JacketsD351987-01-13No227 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$950,000$NoLink
Jesse PuljujarviColumbus Blue JacketsRW241998-05-07No201 Lbs6 ft4NoNoNo1Pro & Farm3,000,000$3,000,000$3,000,000$NoLink
Josh ArchibaldColumbus Blue JacketsLW/RW291992-10-06No176 Lbs5 ft10NoNoNo1Pro & Farm900,000$900,000$900,000$NoLink
Josh BrownColumbus Blue JacketsD281994-01-21No220 Lbs6 ft5NoNoNo2Pro & Farm1,275,000$1,275,000$1,275,000$No1,275,000$Link
Linus UllmarkColumbus Blue JacketsG291993-07-31No212 Lbs6 ft4NoNoNo3Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$Link
Logan O'ConnorColumbus Blue JacketsRW261996-08-14No175 Lbs6 ft0NoNoNo3Pro & Farm1,050,000$1,050,000$1,050,000$No1,050,000$1,050,000$Link
Ondrej KaseColumbus Blue JacketsRW261995-11-08No187 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Paul StastnyColumbus Blue JacketsC361985-12-27No193 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Robin LehnerColumbus Blue JacketsG311991-07-24No250 Lbs6 ft4NoNoNo3Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$Link
Zach WerenskiColumbus Blue JacketsD251997-07-19No213 Lbs6 ft2NoNoNo6Pro & Farm9,583,333$9,583,333$9,583,333$No9,583,333$9,583,333$9,583,333$9,583,333$9,583,333$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2028.90204 Lbs6 ft22.553,728,679$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
74,573,583$58,048,583$45,133,333$23,083,333$15,333,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon TanevAuston MatthewsJesse Puljujarvi40122
2Carl HagelinBoone JennerEvgenii Dadonov30122
3Josh ArchibaldPaul StastnyLogan O'Connor20122
4Alexis LafreniereAuston MatthewsOndrej Kase10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonAdam Pelech40122
2Zach WerenskiDavid Savard30122
3Erik GudbransonJack Johnson20122
4Josh BrownAdam Larsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon TanevAuston MatthewsJesse Puljujarvi60122
2Carl HagelinBoone JennerEvgenii Dadonov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonAdam Pelech60122
2Zach WerenskiDavid Savard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsBrandon Tanev60122
2Boone JennerPaul Stastny40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonAdam Pelech60122
2Zach WerenskiDavid Savard40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Auston Matthews60122Adam LarssonAdam Pelech60122
2Brandon Tanev40122Zach WerenskiDavid Savard40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsBrandon Tanev60122
2Boone JennerPaul Stastny40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonAdam Pelech60122
2Zach WerenskiDavid Savard40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brandon TanevAuston MatthewsJesse PuljujarviAdam LarssonAdam Pelech
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon TanevAuston MatthewsJesse PuljujarviAdam LarssonAdam Pelech
Extra Forwards
Normal PowerPlayPenalty Kill
Josh Archibald, Logan O'Connor, Alexis LafreniereJosh Archibald, Logan O'ConnorAlexis Lafreniere
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Gudbranson, Jack Johnson, Josh BrownErik GudbransonJack Johnson, Josh Brown
Penalty Shots
Auston Matthews, Brandon Tanev, Boone Jenner, Paul Stastny, Jesse Puljujarvi
Goalie
#1 : Robin Lehner, #2 : Linus Ullmark
Custom OT Lines Forwards
Auston Matthews, Brandon Tanev, Boone Jenner, Paul Stastny, Jesse Puljujarvi, Evgenii Dadonov, Evgenii Dadonov, Carl Hagelin, Josh Archibald, Logan O'Connor, Alexis Lafreniere
Custom OT Lines Defensemen
Adam Larsson, Adam Pelech, Zach Werenski, David Savard, Erik Gudbranson


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Caroline Hurricanes 21100000550110000003121010000024-220.500510150032006619222505213839200.00%40100.00%027450354.47%23345251.55%11620656.31%453248142512
2New Jersey Devils210001004311000010023-11100000020230.7504812013100582413192498144010220.00%6266.67%027450354.47%23345251.55%11620656.31%483347162613
3New York Islanders20100100710-31000010045-11010000035-210.2507132000133076282423165181445700.00%7442.86%027450354.47%23345251.55%11620656.31%543945132412
4New York Rangers2010100058-31010000015-41000100043120.50059140012116821202435912454700.00%20100.00%027450354.47%23345251.55%11620656.31%493548152512
5Philadelphia Flyers21001000624100010003211100000030341.0006101601311163192319264172240800.00%11190.91%027450354.47%23345251.55%11620656.31%483348132311
6Pittsburgh Penguins201000105501010000012-11000001043110.25058130003125520181635518143911327.27%7357.14%127450354.47%23345251.55%11620656.31%473350152713
7Washington Capitals20100001913-41010000047-31000000156-110.25091625004320822926264672510474125.00%4250.00%027450354.47%23345251.55%11620656.31%503444153014
Total1435022114146-5713012001825-77220101123212140.500417411502151584468160146152154111118630449612.24%411270.73%127450354.47%23345251.55%11620656.31%34524233410518290
_Since Last GM Reset1435022114146-5713012001825-77220101123212140.500417411502151584468160146152154111118630449612.24%411270.73%127450354.47%23345251.55%11620656.31%34524233410518290
_Vs Conference1435022114146-5713012001825-77220101123212140.500417411502151584468160146152154111118630449612.24%411270.73%127450354.47%23345251.55%11620656.31%34524233410518290
_Vs Division1435022114146-5713012001825-77220101123212140.500417411502151584468160146152154111118630449612.24%411270.73%127450354.47%23345251.55%11620656.31%34524233410518290

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1414L141741154684111118630402
All Games
GPWLOTWOTL SOWSOLGFGA
143522114146
Home Games
GPWLOTWOTL SOWSOLGFGA
71312001825
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72210112321
Last 10 Games
WLOTWOTL SOWSOL
331210
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
49612.24%411270.73%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16014615215151584
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27450354.47%23345251.55%11620656.31%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
34524233410518290


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2022-09-141Washington Capitals7Columbus Blue Jackets4BLBoxScore
2 - 2022-09-1527Columbus Blue Jackets2Caroline Hurricanes 4ALBoxScore
3 - 2022-09-1641Philadelphia Flyers2Columbus Blue Jackets3BWXBoxScore
4 - 2022-09-1752Columbus Blue Jackets5Washington Capitals6ALXXBoxScore
5 - 2022-09-1866Columbus Blue Jackets4Pittsburgh Penguins3AWXXBoxScore
7 - 2022-09-2083Caroline Hurricanes 1Columbus Blue Jackets3BWBoxScore
9 - 2022-09-22109Columbus Blue Jackets3New York Islanders5ALBoxScore
10 - 2022-09-23114Columbus Blue Jackets4New York Rangers3AWXBoxScore
11 - 2022-09-24127Pittsburgh Penguins2Columbus Blue Jackets1BLBoxScore
12 - 2022-09-25152New York Islanders5Columbus Blue Jackets4BLXBoxScore
14 - 2022-09-27168Columbus Blue Jackets2New Jersey Devils0AWBoxScore
15 - 2022-09-28181New Jersey Devils3Columbus Blue Jackets2BLXBoxScore
18 - 2022-10-01201Columbus Blue Jackets3Philadelphia Flyers0AWBoxScore
19 - 2022-10-02218New York Rangers5Columbus Blue Jackets1BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 74,573,583$ 74,573,583$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 2 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 12,000,000$ 12,000,000$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 82,500,000$ 82,500,000$ 0$



Depth Chart

Left WingCenterRight Wing
Brandon TanevAGE:30PO:36OV:74
Alexis LafreniereAGE:20PO:92OV:69
Josh ArchibaldAGE:29PO:42OV:69
Carl HagelinAGE:34PO:26OV:69
Pat MaroonAGE:34PO:26OV:65
Andre LeeAGE:22PO:59OV:58
Auston MatthewsAGE:25PO:88OV:78
Boone JennerAGE:29PO:62OV:73
Paul StastnyAGE:36PO:33OV:72
Zach Aston-ReeseAGE:28PO:36OV:69
Tyler BozakAGE:36PO:21OV:68
Quinton ByfieldAGE:20PO:93OV:67
Tyler PitlickAGE:30PO:59OV:67
Aliaksei ProtasAGE:21PO:64OV:65
Jesse PuljujarviAGE:24PO:86OV:70
Evgenii DadonovAGE:33PO:39OV:70
Logan O'ConnorAGE:26PO:45OV:69
Josh ArchibaldAGE:29PO:42OV:69
Ondrej KaseAGE:26PO:42OV:69

Defense #1Defense #2Goalie
Adam LarssonAGE:29PO:71OV:74
Zach WerenskiAGE:25PO:84OV:73
Adam PelechAGE:28PO:55OV:73
Erik GudbransonAGE:30PO:73OV:72
David SavardAGE:31PO:38OV:72
Roman PolakAGE:36PO:23OV:71
Josh BrownAGE:28PO:48OV:70
Jack JohnsonAGE:35PO:46OV:70
Jarred TinordiAGE:30PO:66OV:69
Philip BrobergAGE:21PO:87OV:66
Kaedan KorczakAGE:21PO:74OV:63
Robin LehnerAGE:31PO:57OV:87
Linus UllmarkAGE:29PO:56OV:86
Chris DriedgerAGE:28PO:54OV:84

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
Artem GrushnikovColumbus Blue JacketsLink
Filip NordbergColumbus Blue JacketsLink
Jayden StrubleColumbus Blue JacketsLink
Josh BloomColumbus Blue JacketsLink
Rutger McGroartyColumbus Blue JacketsLink

Draft Picks

Year R1R2R3R4R5
2
3
4
5
6






[2022-10-02 18:47:07] - Zdeno Chara was released.
[2022-10-02 18:47:07] - Zdeno Chara retired from Columbus Blue Jackets
[2022-10-01 01:45:00] - General Manager Change : Columbus Blue Jackets hired general manager Rambo En-na
[2022-10-01 01:45:00] - General Manager Change : Columbus Blue Jackets fired general manager Dannick Paquette Laroche
[2022-09-11 08:39:46] - Team Name Change : Blue Jackets changed name to Columbus Blue Jackets
[2022-09-10 04:36:31] - Josh Bloom has been added to Blue Jackets.
[2022-09-10 04:32:53] - Artem Grushnikov has been added to Blue Jackets.
[2022-09-03 15:05:16] - Roman Polak was picked by Blue Jackets as the 8 overall pick in the fantasy draft.
[2022-09-03 15:05:16] - Roman Polak was added to Blue Jackets.
[2022-09-01 15:10:35] - Monsters hired Joel Bouchard for 100 000 $ for 1 year(s).
[2022-09-01 15:10:09] - Blue Jackets hired Luke Richardson for 100 000 $ for 1 year(s).
[2022-08-26 18:21:37] - Jarred Tinordi was picked by Blue Jackets as the 1086 overall pick in the fantasy draft.
[2022-08-26 18:21:37] - Jarred Tinordi was added to Blue Jackets.
[2022-08-26 18:20:12] - Zdeno Chara was picked by Blue Jackets as the 1081 overall pick in the fantasy draft.
[2022-08-26 18:20:12] - Zdeno Chara was added to Blue Jackets.
[2022-08-24 05:10:01] - Filip Nordberg has been added to Blue Jackets.
[2022-08-24 05:09:53] - Blue Jackets skipped the 1027 overall pick in the fantasy draft.
[2022-08-24 05:04:32] - Andre Lee was picked by Blue Jackets as the 1021 overall pick in the fantasy draft.
[2022-08-24 05:04:32] - Andre Lee was added to Blue Jackets.
[2022-08-24 05:03:16] - Blue Jackets skipped the 1018 overall pick in the fantasy draft.
[2022-08-23 17:40:31] - Blue Jackets skipped the 993 overall pick in the fantasy draft.
[2022-08-23 17:40:29] - Blue Jackets skipped the 992 overall pick in the fantasy draft.
[2022-08-23 06:45:38] - Tyler Bozak was picked by Blue Jackets as the 958 overall pick in the fantasy draft.
[2022-08-23 06:45:38] - Tyler Bozak was added to Blue Jackets.
[2022-08-20 20:34:28] - Kaedan Korczak was picked by Blue Jackets as the 899 overall pick in the fantasy draft.
[2022-08-20 20:34:28] - Kaedan Korczak was added to Blue Jackets.
[2022-08-20 20:05:42] - Matt Niskanen was released by Blue Jackets
[2022-08-20 19:56:39] - Tyler Pitlick was picked by Blue Jackets as the 891 overall pick in the fantasy draft.
[2022-08-20 19:56:39] - Tyler Pitlick was added to Blue Jackets.
[2022-08-20 19:53:24] - Matt Niskanen was picked by Blue Jackets as the 890 overall pick in the fantasy draft.
[2022-08-20 19:53:24] - Matt Niskanen was added to Blue Jackets.
[2022-08-19 18:34:55] - Josh Brown was picked by Blue Jackets as the 835 overall pick in the fantasy draft.
[2022-08-19 18:34:55] - Josh Brown was added to Blue Jackets.



[2022-10-02 18:47:07] Zdeno Chara was released by Columbus Blue Jackets.
[2022-10-02 18:47:07] Zdeno Chara retired from Columbus Blue Jackets
[2022-10-02 18:46:19] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-10-02 08:21:17] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-09-28 19:02:18] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-09-27 19:05:40] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-09-25 23:24:15] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2022-09-17 19:00:19] Quinton Byfield of Columbus Blue Jackets was sent to farm.
[2022-09-17 19:00:19] Jarred Tinordi of Columbus Blue Jackets was sent to farm.
[2022-09-17 18:57:44] Auto Roster Function has been run for Columbus Blue Jackets.
[2022-09-17 18:57:44] Quinton Byfield of Columbus Blue Jackets was sent to pro.
[2022-09-17 18:57:44] Jarred Tinordi of Columbus Blue Jackets was sent to pro.
[2022-09-17 18:57:33] Auto Lines Farm Function has been run for Monsters.
[2022-09-17 18:57:33] Auto Lines Function has been run for Columbus Blue Jackets.



No Injury or Suspension.


Columbus Blue Jackets Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Columbus Blue Jackets Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Columbus Blue Jackets Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Columbus Blue Jackets Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Columbus Blue Jackets Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA