Blue Jackets

GP: 20 | W: 7 | L: 9 | OTL: 4 | P: 18
GF: 18 | GA: 24 | PP%: 25.00% | PK%: 72.97%
GM : Sebastian Bravo | Morale : 50 | Team Overall : 69
Next Games vs Red Wings
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Jonathan ToewsX99.006352818675839087988178708680877850750
2Auston MatthewsX99.006142938978788977918395636759598450740
3Dylan LarkinXXX100.007353799371839878898872782564657950740
4Mikko KoivuX100.00674383798079988292797083738487765074X0
5Wayne SimmondsX100.008267788470789687547483736179818050740
6Chris KreiderX100.008367789184728484407879612568727750720
7Frans NielsenX100.006742938469739666826772839079817450710
8Calle JarnkrokX100.006541938058739263817375836366677550690
9Vladimir SobotkaX100.008144828269768471717066742570737250680
10Tyler BozakX100.00654289757270977795806655807475705068X0
11Robby FabbriXXX100.007043848562485072567067624258595350630
12Oliver Ekman-Larsson (A)X100.008545848975899888256760774674757450750
13Matt NiskanenX100.008245848273869066256650895380856950740
14Trevor DaleyX100.006141868170828463254953934585886650720
15Jake GardinerX100.006742888869869977257848702571726850710
16Anton StralmanX100.007844927869839461255448812577826450700
17Travis DermottX100.007844927370697864256648672547476350630
18Dalton ProutX100.008785926985555749253940723864655450610
Scratches
1Marcus KrugerX100.007743838368588562796055742570756450640
2Yannick VeilleuxX100.007176596376636848504446594444445250520
3Brendan SmithX100.007888588080726561255347722567696050650
TEAM AVERAGE99.90735283827374857156686373477072695069
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 SP
1Martin Jones96.00799288797484687685804164667950760
2Garret Sparks100.00696581787075727777763045457250690
Scratches
TEAM AVERAGE98.0074798579728070778178365556765073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alain Vigneault72607085637170CAN5321,000,000$


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 Team NamePOS GP 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 MatthewsBlue JacketsC206814-200225251194211.76%1247423.742135280001342053.37%208186000.5903000201
2Chris KreiderBlue JacketsLW205813120332547202510.64%738219.111343290001102112.50%896000.6800000200
3Jonathan ToewsBlue JacketsC204812-910035475412357.41%1149624.803256310000313056.14%3991611000.4803000011
4Dylan LarkinBlue JacketsC/LW/RW20549-12160344248193210.42%1546923.48033633000090135.00%20136000.3800000030
5Matt NiskanenBlue JacketsD20088-61002225211160.00%3345322.68022137000031000.00%027000.3500000000
6Wayne SimmondsBlue JacketsRW20527-960343343142811.63%1339019.54213733000000042.11%19125000.3600000010
7Mikko KoivuBlue JacketsC20235-4402732418214.88%1235817.90000000003130155.26%190109000.2802000001
8Oliver Ekman-LarssonBlue JacketsD20145-61002438321453.12%2953826.95112537000032000.00%0924000.1900000000
9Robby FabbriBlue JacketsC/LW/RW203141203024196815.79%736118.10101129000000142.86%7410000.2200000002
10Jake GardinerBlue JacketsD20112-62072985212.50%1938719.38000125000022000.00%0210000.1000000000
11Frans NielsenBlue JacketsC20112-420162214297.14%626213.1500000000050049.02%10234000.1500000000
12Calle JarnkrokBlue JacketsC20112-10091222550.00%520810.4300003000000048.39%3115000.1900000000
13Trevor DaleyBlue JacketsD20022-740112914430.00%3138319.20000225000120000.00%0315000.1000000000
14Tyler BozakBlue JacketsC20011-200462350.00%1974.8900001000000057.89%1902000.2000000000
15Dalton ProutBlue JacketsD20011100653110.00%31005.050000000002000.00%002000.2000000000
16Anton StralmanBlue JacketsD20011-2209245330.00%1427613.840000000000000.00%009000.0700000000
17Vladimir SobotkaBlue JacketsC20000-100432050.00%0613.05000000002150062.50%812000.0000000000
18Travis DermottBlue JacketsD20000-2406204100.00%1928314.2000000000110000.00%0012000.0000000000
Team Total or Average360345488-707403334684101442358.29%237598916.641013233731900092427453.41%1011103145000.2908000455
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
1Martin JonesBlue Jackets207940.9252.3811840047630304300.4297200442
2Garret SparksBlue Jackets10000.9372.0030001169000.0000020000
Team Total or Average217940.9262.3712140048646313300.42972020442


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 CONT StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Anton StralmanBlue JacketsD311987-07-15 1:46:14 PMNo190 Lbs5 ft11NoNoNo1UFAPro & Farm4,500,000$Link
Auston MatthewsBlue JacketsC211997-09-17No216 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$950,000$Link
Brendan SmithBlue JacketsD281990-02-08No211 Lbs6 ft2NoNoNo4RFAPro & Farm4,000,000$4,000,000$4,000,000$4,000,000$Link
Calle JarnkrokBlue JacketsC271991-09-25No186 Lbs5 ft11NoNoNo1RFAPro & Farm2,000,000$Link
Chris KreiderBlue JacketsLW271991-04-30No228 Lbs6 ft3NoNoNo4RFAPro & Farm4,625,000$4,625,000$4,625,000$4,625,000$Link
Dalton Prout (1 Way Contract)Blue JacketsD271991-03-13No230 Lbs6 ft3NoNoNo3RFAPro & Farm896,000$896,000$896,000$Link
Dylan LarkinBlue JacketsC/LW/RW221996-07-29No190 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$Link
Frans NielsenBlue JacketsC331985-07-15 1:46:14 AMNo188 Lbs6 ft1NoNoNo2UFAPro & Farm5,250,000$5,250,000$Link
Garret SparksBlue JacketsD251993-06-28No210 Lbs6 ft3NoNoNo1RFAPro & Farm650,000$Link
Jake GardinerBlue JacketsD271991-07-14No200 Lbs6 ft2NoNoNo1RFAPro & Farm3,900,000$Link
Jonathan ToewsBlue JacketsC291989-07-15 1:46:14 AMNo201 Lbs6 ft2NoNoNo4UFAPro & Farm9,500,000$9,500,000$9,500,000$9,500,000$Link
Marcus KrugerBlue JacketsC271991-05-27No186 Lbs6 ft0NoNoNo4RFAPro & Farm2,500,000$2,500,000$2,500,000$2,500,000$Link
Martin JonesBlue JacketsC/LW/RW281990-01-10No190 Lbs6 ft4NoNoNo4RFAPro & Farm5,500,000$5,500,000$5,500,000$5,500,000$Link
Matt NiskanenBlue JacketsD311987-07-15 1:46:14 PMNo200 Lbs6 ft1NoNoNo4UFAPro & Farm5,750,000$5,750,000$5,750,000$5,750,000$Link
Mikko KoivuBlue JacketsC341984-07-15 7:46:14 PMNo215 Lbs6 ft3NoYesNo1UFAPro & Farm6,500,000$Link
Oliver Ekman-LarssonBlue JacketsD251993-07-14No200 Lbs6 ft2NoNoNo2RFAPro & Farm5,500,000$5,500,000$Link
Robby FabbriBlue JacketsC/LW/RW221996-01-22No195 Lbs5 ft10NoNoNo1RFAPro & Farm900,000$Link
Travis DermottBlue JacketsD211996-12-21No215 Lbs6 ft0NoNoNo2RFAPro & Farm850,000$850,000$Link
Trevor DaleyBlue JacketsD341984-07-15 7:46:14 PMNo195 Lbs5 ft11NoNoNo2UFAPro & Farm3,300,000$3,300,000$Link
Tyler BozakBlue JacketsC311987-07-15 1:46:14 PMNo195 Lbs6 ft1NoYesNo2UFAPro & Farm4,000,000$4,000,000$Link
Vladimir SobotkaBlue JacketsC311987-07-02No197 Lbs5 ft10NoNoNo4UFAPro & Farm3,500,000$3,500,000$3,500,000$3,500,000$Link
Wayne SimmondsBlue JacketsRW291989-07-15 1:46:14 AMNo185 Lbs6 ft2NoNoNo3UFAPro & Farm3,975,000$3,975,000$3,975,000$Link
Yannick VeilleuxBlue JacketsLW251993-02-21No206 Lbs6 ft2NoNoNo0RFAPro & FarmLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2327.61201 Lbs6 ft12.303,456,348$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
79,496,000$60,096,000$40,246,000$35,375,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan LarkinJonathan ToewsWayne Simmonds40122
2Chris KreiderAuston MatthewsRobby Fabbri30122
3Jonathan ToewsMikko KoivuAuston Matthews20122
4Mikko KoivuFrans NielsenDylan Larkin10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonMatt Niskanen40122
2Trevor DaleyJake Gardiner30122
3Anton StralmanTravis Dermott20122
4Dalton ProutOliver Ekman-Larsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan LarkinJonathan ToewsWayne Simmonds60122
2Chris KreiderAuston MatthewsRobby Fabbri40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonMatt Niskanen60122
2Trevor DaleyJake Gardiner40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jonathan ToewsAuston Matthews60122
2Mikko KoivuDylan Larkin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonMatt Niskanen60122
2Trevor DaleyJake Gardiner40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jonathan Toews60122Oliver Ekman-LarssonMatt Niskanen60122
2Auston Matthews40122Trevor DaleyJake Gardiner40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jonathan ToewsAuston Matthews60122
2Mikko KoivuDylan Larkin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonMatt Niskanen60122
2Trevor DaleyJake Gardiner40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dylan LarkinJonathan ToewsWayne SimmondsOliver Ekman-LarssonMatt Niskanen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dylan LarkinJonathan ToewsWayne SimmondsOliver Ekman-LarssonMatt Niskanen
Extra Forwards
Normal PowerPlayPenalty Kill
Calle Jarnkrok, Tyler Bozak, Vladimir SobotkaCalle Jarnkrok, Tyler BozakVladimir Sobotka
Extra Defensemen
Normal PowerPlayPenalty Kill
Anton Stralman, Travis Dermott, Dalton ProutAnton StralmanTravis Dermott, Dalton Prout
Penalty Shots
Jonathan Toews, Auston Matthews, Mikko Koivu, Dylan Larkin, Wayne Simmonds
Goalie
#1 : Martin Jones, #2 : Garret Sparks


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
1Avalanche1010000013-21010000013-20000000000000.0001120000101751020411148100.00%2150.00%018030559.02%23645352.10%12423852.10%1672391910
2Black Hawks1010000023-11010000023-10000000000000.0002460011002389603072142150.00%10100.00%018030559.02%23645352.10%12423852.10%16721102110
3Blues1010000014-3000000000001010000014-300.000123000100236611028134142150.00%2150.00%018030559.02%23645352.10%12423852.10%1882192010
4Capitals1000010012-1000000000001000010012-110.50011200001014111203613621100.00%30100.00%018030559.02%23645352.10%12423852.10%1882192111
5Coyotes11000000211110000002110000000000021.000235002000271321204017217000.00%10100.00%018030559.02%23645352.10%12423852.10%178249189
6Ducks1000000123-1000000000001000000123-110.5002350001102037103395424200.00%20100.00%018030559.02%23645352.10%12423852.10%18724102111
7Flyers10001000211100010002110000000000021.0002350000111012612713811000.00%40100.00%018030559.02%23645352.10%12423852.10%17621102110
8Hurricanes2110000025-3110000002111010000004-420.500235001010445633057191234300.00%6266.67%018030559.02%23645352.10%12423852.10%371636194523
9Kings11000000211000000000001100000021121.000235001100163850301021511100.00%10100.00%018030559.02%23645352.10%12423852.10%1772192111
10Lightning1010000024-2000000000001010000024-200.0002350011003312174036124192150.00%20100.00%018030559.02%23645352.10%12423852.10%22121881810
11Panthers21001000633110000003121000100032141.0006915001311395247355254386350.00%20100.00%018030559.02%23645352.10%12423852.10%361540194323
12Rangers1010000034-11010000034-10000000000000.000358000210295915031102163133.33%10100.00%018030559.02%23645352.10%12423852.10%20111981910
13Red Wings2020000006-61010000003-31010000003-300.0000000000002810414068241233400.00%6350.00%018030559.02%23645352.10%12423852.10%341543194121
14Sabres1000000112-11000000112-10000000000010.50012300010024811522413213400.00%10100.00%018030559.02%23645352.10%12423852.10%21102092212
15Sharks1000000112-1000000000001000000112-110.50012300001020811133523019100.00%000.00%018030559.02%23645352.10%12423852.10%1772692110
Since Last GM Reset2059021033451-171035010011824-61024011021627-11180.450345488009111224101091361611264623774333401025.00%371072.97%018030559.02%23645352.10%12423852.10%367166429192420222
17Stars2110000067-11010000025-31100000042220.500610160020404316918069226378225.00%330.00%018030559.02%23645352.10%12423852.10%361643184023
Total2059021033451-171035010011824-61024011021627-11180.450345488009111224101091361611264623774333401025.00%371072.97%018030559.02%23645352.10%12423852.10%367166429192420222
Vs Conference1125021011727-10622010011112-150301100615-9100.45517264300375222147848663341295018523521.74%25580.00%018030559.02%23645352.10%12423852.10%20995222105234123
Vs Division51201100812-4311010007612010010016-550.500812200012419712285611515528827114.29%14285.71%018030559.02%23645352.10%12423852.10%9442984710856

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2018L13454884106462377433300
All Games
GPWLOTWOTL SOWSOLGFGA
205921033451
Home Games
GPWLOTWOTL SOWSOLGFGA
103510011824
Visitor Games
GPWLOTWOTL SOWSOLGFGA
102411021627
Last 10 Games
WLOTWOTL SOWSOL
340102
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
401025.00%371072.97%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
10913616112911122
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18030559.02%23645352.10%12423852.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
367166429192420222


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
2 - 2018-10-0310Blue Jackets0Red Wings3LBoxScore
3 - 2018-10-0415Hurricanes1Blue Jackets2WBoxScore
8 - 2018-10-0938Avalanche3Blue Jackets1LBoxScore
10 - 2018-10-1147Blue Jackets3Panthers2WXBoxScore
11 - 2018-10-1263Blue Jackets2Lightning4LBoxScore
16 - 2018-10-1792Flyers1Blue Jackets2WXBoxScore
18 - 2018-10-19109Black Hawks3Blue Jackets2LBoxScore
21 - 2018-10-22123Coyotes1Blue Jackets2WBoxScore
23 - 2018-10-24137Blue Jackets1Blues4LBoxScore
25 - 2018-10-26154Sabres2Blue Jackets1LXXBoxScore
28 - 2018-10-29170Red Wings3Blue Jackets0LBoxScore
30 - 2018-10-31191Blue Jackets1Sharks2LXXBoxScore
32 - 2018-11-02205Blue Jackets2Kings1WBoxScore
33 - 2018-11-03209Blue Jackets2Ducks3LXXBoxScore
35 - 2018-11-05217Stars5Blue Jackets2LBoxScore
38 - 2018-11-08237Blue Jackets1Capitals2LXBoxScore
39 - 2018-11-09251Rangers4Blue Jackets3LBoxScore
41 - 2018-11-11262Blue Jackets4Stars2WBoxScore
44 - 2018-11-14280Panthers1Blue Jackets3WBoxScore
46 - 2018-11-16298Blue Jackets0Hurricanes4LBoxScore
48 - 2018-11-18308Blue Jackets-Maple Leafs-
51 - 2018-11-21339Maple Leafs-Blue Jackets-
52 - 2018-11-22354Blue Jackets-Penguins-
55 - 2018-11-25366Blue Jackets-Red Wings-
58 - 2018-11-28383Wild-Blue Jackets-
60 - 2018-11-30402Blue Jackets-Islanders-
63 - 2018-12-03420Flames-Blue Jackets-
65 - 2018-12-05431Blue Jackets-Flyers-
67 - 2018-12-07451Capitals-Blue Jackets-
70 - 2018-12-10469Canucks-Blue Jackets-
72 - 2018-12-12480Kings-Blue Jackets-
74 - 2018-12-14501Ducks-Blue Jackets-
76 - 2018-12-16513Golden Knights-Blue Jackets-
79 - 2018-12-19535Devils-Blue Jackets-
81 - 2018-12-21546Blue Jackets-Flyers-
82 - 2018-12-22559Blue Jackets-Devils-
83 - 2018-12-23568Blue Jackets-Rangers-
84 - 2018-12-24582Maple Leafs-Blue Jackets-
87 - 2018-12-27605Senators-Blue Jackets-
91 - 2018-12-31631Blue Jackets-Hurricanes-
92 - 2019-01-01641Blue Jackets-Panthers-
95 - 2019-01-04663Blue Jackets-Lightning-
97 - 2019-01-06675Predators-Blue Jackets-
99 - 2019-01-08692Blue Jackets-Capitals-
100 - 2019-01-09701Rangers-Blue Jackets-
102 - 2019-01-11713Devils-Blue Jackets-
105 - 2019-01-14734Canadiens-Blue Jackets-
106 - 2019-01-15748Blue Jackets-Wild-
112 - 2019-01-21775Sabres-Blue Jackets-
114 - 2019-01-23780Blue Jackets-Jets-
116 - 2019-01-25797Blues-Blue Jackets-
119 - 2019-01-28819Blue Jackets-Avalanche-
121 - 2019-01-30836Blue Jackets-Coyotes-
123 - 2019-02-01851Blue Jackets-Golden Knights-
126 - 2019-02-04866Capitals-Blue Jackets-
128 - 2019-02-06878Islanders-Blue Jackets-
130 - 2019-02-08900Blue Jackets-Black Hawks-
132 - 2019-02-10911Lightning-Blue Jackets-
133 - 2019-02-11920Blue Jackets-Canadiens-
136 - 2019-02-14940Blue Jackets-Senators-
137 - 2019-02-15950Sharks-Blue Jackets-
140 - 2019-02-18973Penguins-Blue Jackets-
142 - 2019-02-20986Flyers-Blue Jackets-
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2019-02-22999Oilers-Blue Jackets-
145 - 2019-02-231014Jets-Blue Jackets-
147 - 2019-02-251020Blue Jackets-Devils-
149 - 2019-02-271034Blue Jackets-Penguins-
151 - 2019-03-011055Penguins-Blue Jackets-
153 - 2019-03-031066Blue Jackets-Islanders-
154 - 2019-03-041074Bruins-Blue Jackets-
157 - 2019-03-071094Hurricanes-Blue Jackets-
158 - 2019-03-081103Blue Jackets-Bruins-
161 - 2019-03-111131Blue Jackets-Flames-
163 - 2019-03-131145Blue Jackets-Oilers-
166 - 2019-03-161168Blue Jackets-Canucks-
168 - 2019-03-181179Islanders-Blue Jackets-
170 - 2019-03-201191Canadiens-Blue Jackets-
172 - 2019-03-221210Blue Jackets-Predators-
173 - 2019-03-231218Blue Jackets-Sabres-
175 - 2019-03-251230Bruins-Blue Jackets-
178 - 2019-03-281254Blue Jackets-Rangers-
179 - 2019-03-291260Blue Jackets-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price100603520200
Attendance586813966016156376689513
Attendance PCT97.80%79.32%80.78%94.17%95.13%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 16168 - 89.82% 1,146,912$11,469,120$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
79,496,000$ 79,496,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
20,663,762$ 79,496,000$ 20,295,070$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
35,554,272$ 133 449,698$ 59,809,834$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
60,864,036$ 79,496,000$ 13,176,117$ -12,133,647$



Depth Chart

Left WingCenterRight Wing
Dylan LarkinAGE:22PO:79OV:74
Chris KreiderAGE:27PO:77OV:72
Robby FabbriAGE:22PO:53OV:63
Peter HollandAGE:26PO:64OV:62
Josh LeivoAGE:25PO:63OV:60
*Dennis YanAGE:21PO:62OV:58
*Brett PollockAGE:22PO:61OV:58
*Mason MarchmentAGE:23PO:57OV:55
Zac LarrazaAGE:25PO:53OV:52
Yannick VeilleuxAGE:25PO:52OV:52
Jonathan ToewsAGE:29PO:78OV:75
Auston MatthewsAGE:21PO:84OV:74
Dylan LarkinAGE:22PO:79OV:74
Mikko KoivuAGE:34PO:76OV:74
Frans NielsenAGE:33PO:74OV:71
Calle JarnkrokAGE:27PO:75OV:69
Vladimir SobotkaAGE:31PO:72OV:68
Tyler BozakAGE:31PO:70OV:68
Marcus KrugerAGE:27PO:64OV:64
Robby FabbriAGE:22PO:53OV:63
Peter HollandAGE:26PO:64OV:62
Wayne SimmondsAGE:29PO:80OV:74
Dylan LarkinAGE:22PO:79OV:74
Robby FabbriAGE:22PO:53OV:63
*Brett PollockAGE:22PO:61OV:58
Hunter SmithAGE:23PO:55OV:55

Defense #1Defense #2Goalie
Oliver Ekman-LarssonAGE:25PO:74OV:75
Matt NiskanenAGE:31PO:69OV:74
Trevor DaleyAGE:34PO:66OV:72
Jake GardinerAGE:27PO:68OV:71
Anton StralmanAGE:31PO:64OV:70
Brendan SmithAGE:28PO:60OV:65
Travis DermottAGE:21PO:63OV:63
Dalton ProutAGE:27PO:54OV:61
*Filip HronekAGE:21PO:58OV:60
Aaron NessAGE:27PO:55OV:58
Joe HickettsAGE:22PO:53OV:57
*Emil JohanssonAGE:22PO:52OV:56
Eric RoyAGE:24PO:1OV:56
*Keaton ThompsonAGE:23PO:52OV:55
Jan KostalekAGE:23PO:53OV:54
*Adam Ollas MattssonAGE:22PO:50OV:54
Martin JonesAGE:28PO:79OV:76
Garret SparksAGE:25PO:72OV:69
Jared CoreauAGE:27PO:65OV:65
Marek LanghamerAGE:24PO:67OV:64
*Connor IngramAGE:21PO:64OV:63
Eric ComrieAGE:23PO:64OV:61
Joonas KorpisaloAGE:24PO:56OV:56
Jack FlinnAGE:22PO:47OV:51

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
Adam MarshBlue Jackets2015200
Alexei LipanovBlue Jackets201762
Anton KarlssonBlue Jackets201465
Benoit-Olivier GroulxBlue Jackets201846
Brandon KruseBlue Jackets2018139
Brett HowdenBlue Jackets201628
David KaseBlue Jackets2015140
Drake BathersonBlue Jackets2017133
Edgars KuldaBlue Jackets2014193
Erik Walli WalterholmBlue Jackets2017195
Graham McPheeBlue Jackets2016148
Grant MismashBlue Jackets201746
Grigori DenisenkoBlue Jackets201817
Ilya SamsonovBlue Jackets201527
Jack KopackaBlue Jackets201692
Jack PerbixBlue Jackets2018123
Jack RathboneBlue Jackets2017116
Jan JenikBlue Jackets201877
Jaret Anderson-DolanBlue Jackets201739
Joseph WollBlue Jackets201671
Konstantin VolkovBlue Jackets2016178
Kristian VesalainenBlue Jackets201723
Kristoffer GunnarssonBlue Jackets2017147
Lenni KillinenBlue Jackets2018108
Malte SetkovBlue Jackets2017118
Markus RuusuBlue Jackets2015118
Mattias ElfstromBlue Jackets2016189
Maxwell GildonBlue Jackets201775
Nicklaus PerbixBlue Jackets2017178
Olle Eriksson EkBlue Jackets2017164
Patrick HolwayBlue Jackets2015170
Patrik VirtaBlue Jackets2017209
Riley StottsBlue Jackets2018216
Ross ColtonBlue Jackets2016122
Ryan LindgrenBlue Jackets201651
Ryan McLeodBlue Jackets201830
Scott StajcerBlue Jackets2009123
Sean DurziBlue Jackets201847
Simon JohanssonBlue Jackets2018154
Stephen DesrocherBlue Jackets2015131
Timothy GettingerBlue Jackets2016110
Wilhelm WestlundBlue Jackets2013181
William BorgenBlue Jackets2015100
Zachary EmondBlue Jackets2018185

Draft Picks

Year R1R2R3R4R5R6R7
2019CLB CLB CLB DET CLB CLB CLB CAR CLB
2020CLB CLB CLB CLB CLB CLB CLB
2021CLB CLB CLB CLB CLB CLB CLB
2022CLB CLB CLB CLB CLB CLB CLB
2023CLB CLB CLB CLB CLB CLB CLB



[2018-09-17 8:28:02 AM] - Alex Grant was released.
[2018-07-23 9:17:53 PM] - Vladimir Sobotka signed with Blue Jackets for $3,500,000 for 4 year(s) with $0 in bonus.
[2018-07-23 9:17:53 PM] - Vladimir Sobotka was added to Blue Jackets.
[2018-07-23 9:17:43 PM] - Matt Niskanen signed with Blue Jackets for $5,750,000 for 4 year(s) with $0 in bonus.
[2018-07-23 9:17:43 PM] - Matt Niskanen was added to Blue Jackets.
[2018-07-23 9:17:31 PM] - Mason Marchment signed with Blue Jackets for $767,000 for 2 year(s) with $0 in bonus.
[2018-07-23 9:17:31 PM] - Mason Marchment was added to Blue Jackets.
[2018-07-15 9:46:20 AM] - Brendan Smith signed with Blue Jackets for $4,000,000 for 4 year(s) with $0 in bonus.
[2018-07-15 9:46:20 AM] - Brendan Smith was added to Blue Jackets.
[2018-07-14 8:12:01 AM] - TRADE : From Blue Jackets to Red Wings : Brent Seabrook (73).
[2018-07-14 8:12:01 AM] - TRADE : From Red Wings to Blue Jackets : Y:2019-RND:3-DET.
[2018-07-12 8:57:33 PM] - Marcus Kruger signed with Blue Jackets for $2,500,000 for 4 year(s) with $0 in bonus.
[2018-07-12 8:57:33 PM] - Marcus Kruger was added to Blue Jackets.
[2018-07-12 8:57:22 PM] - Chris Kreider signed with Blue Jackets for $4,625,000 for 4 year(s) with $0 in bonus.
[2018-07-12 8:57:22 PM] - Chris Kreider was added to Blue Jackets.
[2018-07-12 8:57:11 PM] - Martin Jones signed with Blue Jackets for $5,500,000 for 4 year(s) with $0 in bonus.
[2018-07-12 8:57:11 PM] - Martin Jones was added to Blue Jackets.
[2018-07-12 8:56:58 PM] - Jonathan Toews signed with Blue Jackets for $9,500,000 for 4 year(s) with $0 in bonus.
[2018-07-12 8:56:58 PM] - Jonathan Toews was added to Blue Jackets.
[2018-07-04 10:19:58 PM] - Blue Jackets drafts Riley Stotts as the #216 overall pick in the Entry Draft of year 2018.
[2018-07-04 10:01:29 PM] - Blue Jackets drafts Zachary Emond as the #185 overall pick in the Entry Draft of year 2018.
[2018-07-04 9:48:28 PM] - Blue Jackets drafts Simon Johansson as the #154 overall pick in the Entry Draft of year 2018.
[2018-07-04 9:37:33 PM] - Blue Jackets drafts Brandon Kruse as the #139 overall pick in the Entry Draft of year 2018.
[2018-07-04 9:28:55 PM] - Blue Jackets drafts Jack Perbix as the #123 overall pick in the Entry Draft of year 2018.
[2018-07-04 9:23:25 PM] - Blue Jackets drafts Lenni Killinen as the #108 overall pick in the Entry Draft of year 2018.
[2018-07-04 9:04:26 PM] - Blue Jackets drafts Jan Jenik as the #77 overall pick in the Entry Draft of year 2018.
[2018-06-27 9:37:49 PM] - Blue Jackets drafts Sean Durzi as the #47 overall pick in the Entry Draft of year 2018.
[2018-06-27 9:37:45 PM] - Blue Jackets drafts Benoit-Olivier Groulx as the #46 overall pick in the Entry Draft of year 2018.
[2018-06-27 9:04:56 PM] - Blue Jackets drafts Ryan McLeod as the #30 overall pick in the Entry Draft of year 2018.
[2018-06-27 8:54:05 PM] - TRADE : From Blue Jackets to Hurricanes : Ryan Kesler (71).
[2018-06-27 8:54:05 PM] - TRADE : From Hurricanes to Blue Jackets : Dalton Prout (61), Y:2019-RND:6-CAR.
[2018-06-27 8:54:04 PM] - Dalton Prout was added to Blue Jackets.
[2018-06-27 8:37:21 PM] - Blue Jackets drafts Grigori Denisenko as the #17 overall pick in the Entry Draft of year 2018.



[2018-11-17 7:42:54 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-16 7:07:12 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-15 6:56:22 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-11-14 7:51:06 AM] Eric Roy from Monsters is back from Back Spasms Injury.
[2018-11-14 7:51:06 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-12 10:45:07 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-10 8:16:33 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-09 8:23:10 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-11-08 8:15:13 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-06 6:55:59 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-06 6:55:59 AM] Last 7 Days Pro Star : 1 - Adam Henrique of Devils (4-2-6) / 2 - Martin Jones of Blue Jackets (0.932) / 3 - John Gibson of Canadiens (0.946)
[2018-11-04 8:50:38 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-03 8:51:40 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-11-02 8:28:28 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-01 8:20:59 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-10-31 8:32:21 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-30 10:30:55 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-10-28 9:18:57 AM] Marek Langhamer from Monsters is back from Exhaustion.
[2018-10-27 8:26:22 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-27 8:26:22 AM] Marek Langhamer from Monsters injured (Exhaustion)
[2018-10-26 6:53:57 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-25 6:55:04 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-10-23 8:40:21 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-23 8:40:21 AM] Last 7 Days Farm Star : 1 - Marek Langhamer of Monsters (0.936) / 2 - Justin Dowling of Bears (5-2-7) / 3 - Mathieu Joseph of Pirates (4-4-8)
[2018-10-22 8:30:31 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-20 8:22:34 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-10-19 7:46:18 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-18 8:13:19 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-10-17 6:49:34 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-10-15 6:54:47 AM] Monsters lines for next game are empty. Current rosters/lines are not erased.



No Injury or Suspension.


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
20182059021033451-171035010011824-61024011021627-1118345488009111224101091361611264623774333401025.00%371072.97%018030559.02%23645352.10%12423852.10%367166429192420222
Total Regular Season2059021033451-171035010011824-61024011021627-1118345488009111224101091361611264623774333401025.00%371072.97%018030559.02%23645352.10%12423852.10%367166429192420222