SIMLHS.com - Blue Jackets 

Blue Jackets
GP: 82 | W: 25 | L: 48 | OTL: 9 | P: 59
GF: 206 | GA: 290 | PP%: 17.16% | PK%: 77.32%
GM : Pascal Simoneau | Morale : 75 | Team Overall : 67
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Blue Jackets
25-48-9, 59pts
1
FINAL
6 Capitals
40-33-9, 89pts
Team Stats
L2StreakW5
14-22-5Home Record23-15-3
11-26-4Away Record17-18-6
5-5-0Last 10 Games7-2-1
2.51Goals Per Game2.84
3.54Goals Against Per Game2.63
17.16%Power Play Percentage21.99%
77.32%Penalty Kill Percentage83.13%
Lightning
27-44-11, 65pts
4
FINAL
3 Blue Jackets
25-48-9, 59pts
Team Stats
W1StreakL2
15-20-6Home Record14-22-5
12-24-5Away Record11-26-4
6-2-2Last 10 Games5-5-0
2.52Goals Per Game2.51
3.39Goals Against Per Game3.54
18.68%Power Play Percentage17.16%
80.71%Penalty Kill Percentage77.32%
Team Leaders
Pierre EngvallGoals
Pierre Engvall
24
TJ BrodieAssists
TJ Brodie
39
Pierre EngvallPoints
Pierre Engvall
50
Zac RinaldoPlus/Minus
Zac Rinaldo
-1
Anthony StolarzWins
Anthony Stolarz
23
Kaapo KahkonenSave Percentage
Kaapo Kahkonen
0.894

Team Stats
Goals For
206
2.51 GFG
Shots For
2231
27.21 Avg
Power Play Percentage
17.2%
46 GF
Offensive Zone Start
39.8%
Goals Against
290
3.54 GAA
Shots Against
2626
32.02 Avg
Penalty Kill Percentage
77.3%
66 GA
Defensive Zone Start
42.0%
Team Info

General ManagerPascal Simoneau
CoachBruce Boudreau
DivisionDivision Métropolitaine
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameNationwide Arena
Capacity18,000
Attendance16,796
Season Tickets1,800


Roster Info

Pro Team23
Farm Team36
Contract Limit59 / 80
Prospects68


Salary Cap

Estimated Season Salary Cap64,376,671$
Available Salary Cap17,123,329$
Special Salary Cap Value1,750,000$
Players In Salary Cap24


Finance

Year to Date Revenue103,924,472$
Year To Date Expenses63,473,729$
Estimated Season Revenue0$
Estimated Season Expenses370,282$
Current Bank Account66,486,890$
Projected Bank Account66,089,393$


Team History

This Season25-48-9 (59PTS)
History772-615-160 (0.499%)
Playoff Appearances9
Playoff Record (W-L)44-53
Stanley Cup0


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
1Justin Williams0X95.006635916774797568576576587190810756804014,000,000$
2Joe Thornton0XX97.006752876490818871837463616592830756804216,400,000$
3Corey Perry0XX96.007465716385798770597165627386820756803624,500,000$
4Pierre Engvall0XXX98.00663692719288846972676870736967075680251902,000$
5Ryan Dzingel0XXX98.006536847772798673637066577277690756702924,500,000$
6Victor Rask0X100.005735937279878273797066637175670756702811,580,000$
7Jimmy Vesey0XX100.006335936984778868596665716875700756702811,800,000$
8Nicolas Roy0X100.007636916887798369816863736467650756702421,089,000$
9Wayne Simmonds0XX100.007984686577818662546865576482730756503344,000,000$
10Brendan Lemieux0XX100.008782636680768765596763646270650756502531,688,000$
11Dylan Gambrell0XX100.007735916571707566796862686669660756502521,138,000$
12Logan Brown0X100.00847580679667686673686156626564075650233995,000$
13TJ Brodie0X95.005739877674899171307459805479720756903115,216,000$
14Mike Matheson0X95.006737857278878671307469735672670756902711,850,000$
15Michael Stone0X98.008039876185767365307063795280710756703113,650,000$
16Dan Hamhuis0X100.007346816078817762306955775189790756603914,000,000$
17Jacob Larsson0X100.006135927178858266306759705168640756502411,200,000$
Scratches
1Alexander Steen0XX94.005735936678807664566865846687750756803713,500,000$
2Zac Rinaldo0XXX100.00958456617073786367656258637972075640312950,000$
3Sean Malone0X100.005063566374867562736860576271660756102611,500,000$
4Christian Folin0X100.008452745987716657306158605578700756203011,850,000$
Farm Team
1Liam Foudy (R)0X100.00623593767982807377696268726366075670213925,000$
2Tyler Graovac0X100.00653989639183776478626963687567075650281700,000$
3Philip Tomasino (R)0X100.00624383697285826872676663736162075650203925,000$
4Mitchell Stephens0X100.00723593657086806377646260636764075640242750,000$
5Devante Smith-Pelly0X100.007367895880768561535957635277690756302916,000,000$
6Brian Gibbons0X100.00553592656375776267646163598273075630332900,000$
7Garrett Wilson0XX100.00776971568778835659585660567873075620302900,000$
8Kevin Lynch0X100.00664878577586915663585659567870075610301700,000$
9Turner Elson0X100.00645174587383885762605657597772075610293925,000$
10Matt Lorito0X100.00553985596481865861575856597771075600311900,000$
11Juuso Valimaki (R)0X100.00594183658386746930725971546567075650233925,000$
12Pierre-Olivier Joseph0X100.00743888717782786430685965526364075650222925,000$
13Cal Foote0X100.00755572659279866330645866526567075640231997,000$
14Jake Bean0X100.00563593717585846630725759526563075640231900,000$
15Steven Santini0X100.00813987628175726130635762497166075630262890,000$
16Gustav Lindstrom0X100.00764285627887736330655764506563075630232925,000$
17Logan Stanley0X100.007986715999878558306156634865630756302331,141,000$
18William Lagesson0X100.00633790628279786130655867496965075630251700,000$
19Rasmus Asplund0XXX86.72593592737279836978666370686764075660241894,000$
20Alexander Holtz (R)0X100.00643593617372775852565759626163075600193925,000$
21Cliff Pu0X100.00693986587871765773605456586563075600232999,999$
22Tanner MacMaster0X100.00563470596578835860565763556965075600252700,000$
23Travis St. Denis0X100.00615865596183885864575953607769075600293925,000$
24Nathan Todd0X100.00613888577079775876595756597166075600262700,000$
25Ryan Dmowski0X100.00673986567963685452535755566764075590242700,000$
26Derek Hulak0X100.00624681557176695254535652548072075580322700,000$
27Lewis Zerter-Gossage0X100.00693593527875725355515456537166075580262700,000$
28Luke Evangelista (R)0X100.00573689556660655561595053575959075570193925,000$
29Devante Stephens0X100.00714879598071765730565458506764075600242700,000$
30Logan Roe0X100.00784879518760655130525057457870075580302700,000$
31Michael Kim0X100.00633784567277715430535055467166075580262700,000$
TEAM AVERAGE98.3871498267808081675768636763777107566
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
1Kaapo Kahkonen100.00839085838281838281838269730757002532,263,000$
2Anthony Stolarz100.00828683958180828180828173770757002711,450,000$
Scratches
Farm Team
1Ilya Samsonov100.0088799283878688878688876771075720241987,000$
2Charlie Lindgren100.0075807976747375747375747682075660283875,000$
3Pat Nagle100.0071807874706971706971708488075640342700,000$
4Sean Bonar100.0072738172717072717072717884075640302700,000$
5Kevin Poulin100.0069717782686769686769687985075630312700,000$
TEAM AVERAGE100.008388848982818382818382717507570
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Boudreau70768077999243CAN6611,000,000$


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 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
1Pierre EngvallBlue JacketsC/LW/RW82242650-8120501832395917110.04%21153318.7048125022200041164046.06%172800000.6511000170
2TJ BrodieBlue JacketsD8493948-263207814312130707.44%127194923.217916692230110254100.00%000000.4900000022
3Michael StoneBlue JacketsD81133548-14680178115107257212.15%125167020.6261016581980110198210.00%000000.5700000300
4Mike MathesonBlue JacketsD78113243-454009912213549918.15%104194925.006713692130000224110.00%000000.4400000211
5Ryan DzingelBlue JacketsC/LW/RW82192241-1721571107204461339.31%4142217.35268322200001183345.00%10000100.5802000301
6Alexander SteenBlue JacketsLW/RW85172239-246047144230611647.39%37174920.582573421700031921040.54%59200100.4501000221
7Joe ThorntonBlue JacketsC/LW80142034-14805698116296612.07%13121415.1813414800003662053.73%76500000.5612000004
8Corey PerryBlue JacketsLW/RW82121931-13822022576123331069.76%16154118.804262721900011431041.87%24600000.4002210213
9Victor RaskBlue JacketsC80112031-2180569991297312.09%20102812.8601116000031352.11%66400000.6000000222
10Jimmy VeseyBlue JacketsLW/RW82131730-131803482145401068.97%17109913.4104465910131323139.02%12300000.5502000112
11Jacob LarssonBlue JacketsD7732629-630070933625328.33%83128416.690227570000106000.00%000000.4500000000
12Nicolas RoyBlue JacketsC6791423-20180809877315711.69%4388713.24202311000180049.28%55400000.5201000100
13Justin WilliamsBlue JacketsRW81101121-142208256131311027.63%9165720.462571617600021240142.70%17800000.2513000122
14Wayne SimmondsBlue JacketsLW/RW827916-15160352149142814.29%25797.07011050001471127.27%3300000.5500000000
15Dan HamhuisBlue JacketsD7131316-76115104816321454.76%86144820.40235321750001180000.00%000000.2200021001
16Brendan LemieuxBlue JacketsLW/RW675611-1120056255110279.80%74226.3000000000001144.00%2500000.5200000011
17Logan BrownBlue JacketsC81448-141405741456238.89%15416.68000132000090045.41%55500000.3001000001
18Christian FolinBlue JacketsD38055-6400101911460.00%3957715.19000121000045000.00%000000.1700000001
19Dylan GambrellBlue JacketsC/RW30134-6802526216154.76%034711.59000000000220049.26%27200000.2300000000
20Pierre-Olivier JosephMonsters (CBJ)D7033-340128105100.00%1013218.95000718011013000.00%000000.4500000000
21Jake BeanMonsters (CBJ)D3101-42022110100.00%44515.150000000003100.00%000000.4400000000
22Zac RinaldoBlue JacketsC/LW/RW8101-14011441225.00%1587.3100000000000033.33%300000.3400000000
23Sean MaloneBlue JacketsC10000-300213030.00%0434.310000000000000.00%000000.0000000000
Team Total or Average1438187346533-2865444015311634201355614029.29%7692318416.1238661044272161134201912221247.02%583800200.46315231181922
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
1Anthony StolarzBlue Jackets64233360.8913.3835484220018330210.846136220310
2Kaapo KahkonenBlue Jackets3021530.8943.57141020847910110.33362062201
Team Total or Average94254890.8923.4449596228426240320.684198282511


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 RemainingSalary AverageSalary Ave RemainingSalary 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
Alexander Steen (1 Way Contract)Blue JacketsLW/RW373/1/1984No211 Lbs6 ft0NoNoYes1Pro & Farm3,500,000$19,337$925,000$5,110$3,500,000$19,337$NoLink / NHL Link
Anthony StolarzBlue JacketsG271/20/1994No230 Lbs6 ft5NoNoNo1Pro & Farm1,450,000$8,011$550,000$3,039$1,450,000$8,011$NoLink / NHL Link
Brendan LemieuxBlue JacketsLW/RW253/15/1996No213 Lbs6 ft1NoNoYes3Pro & Farm1,688,000$9,326$1,688,000$9,326$1,688,000$9,326$No1,688,000$1,688,000$Link / NHL Link
Christian Folin (1 Way Contract)Blue JacketsD302/9/1991No204 Lbs6 ft4NoNoYes1Pro & Farm1,850,000$10,221$1,850,000$10,221$1,850,000$10,221$NoLink / NHL Link
Corey Perry (1 Way Contract)Blue JacketsLW/RW365/16/1985No206 Lbs6 ft3NoNoYes2Pro & Farm4,500,000$24,862$4,500,000$24,862$4,500,000$24,862$No4,500,000$Link / NHL Link
Dan Hamhuis (1 Way Contract)Blue JacketsD3912/13/1982No204 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$22,099$4,000,000$22,099$4,000,000$22,099$NoLink / NHL Link
Dylan GambrellBlue JacketsC/RW258/26/1996No185 Lbs6 ft0NoNoNo2Pro & Farm1,138,000$6,287$1,138,000$6,287$1,138,000$6,287$No1,138,000$Link / NHL Link
Jacob LarssonBlue JacketsD244/29/1997No190 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$6,630$1,200,000$6,630$1,200,000$6,630$NoLink / NHL Link
Jimmy Vesey (1 Way Contract)Blue JacketsLW/RW285/26/1993No202 Lbs6 ft3NoNoYes1Pro & Farm1,800,000$9,945$925,000$5,110$1,800,000$9,945$NoLink / NHL Link
Joe Thornton (1 Way Contract)Blue JacketsC/LW427/2/1979No220 Lbs6 ft4NoNoYes1Pro & Farm6,400,000$35,359$6,400,000$35,359$6,400,000$35,359$NoLink / NHL Link
Justin Williams (1 Way Contract)Blue JacketsRW4010/4/1981No184 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$22,099$4,000,000$22,099$4,000,000$22,099$NoLink / NHL Link
Kaapo KahkonenBlue JacketsG258/16/1996No215 Lbs6 ft2NoNoYes3Pro & Farm2,263,000$12,503$2,263,000$12,503$2,263,000$12,503$No2,263,000$2,263,000$Link / NHL Link
Logan BrownBlue JacketsC233/5/1998No218 Lbs6 ft6NoNoNo3Pro & Farm995,000$5,497$995,000$5,497$995,000$5,497$No995,000$995,000$Link / NHL Link
Michael Stone (1 Way Contract)Blue JacketsD316/7/1990No210 Lbs6 ft3NoNoYes1Pro & Farm3,650,000$20,166$3,650,000$20,166$3,650,000$20,166$NoLink / NHL Link
Mike Matheson (1 Way Contract)Blue JacketsD272/27/1994No188 Lbs6 ft2NoNoYes1Pro & Farm1,850,000$10,221$925,000$5,110$1,850,000$10,221$NoLink / NHL Link
Nicolas RoyBlue JacketsC242/5/1997No205 Lbs6 ft4NoNoNo2Pro & Farm1,089,000$6,017$1,089,000$6,017$1,089,000$6,017$No1,089,000$Link / NHL Link
Pierre EngvallBlue JacketsC/LW/RW255/31/1996No214 Lbs6 ft5NoNoNo1Pro & Farm902,000$4,983$902,000$4,983$902,000$4,983$NoLink / NHL Link
Ryan Dzingel (1 Way Contract)Blue JacketsC/LW/RW293/9/1992No190 Lbs6 ft0NoNoYes2Pro & Farm4,500,000$24,862$700,000$3,867$4,500,000$24,862$No4,500,000$Link / NHL Link
Sean Malone (1 Way Contract)Blue JacketsC264/30/1995No197 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$8,287$1,500,000$8,287$1,500,000$8,287$NoLink / NHL Link
TJ Brodie (1 Way Contract)Blue JacketsD316/7/1990No185 Lbs6 ft1NoNoYes1Pro & Farm5,216,000$28,818$5,216,000$28,818$5,216,000$28,818$NoLink / NHL Link
Victor Rask (1 Way Contract)Blue JacketsC283/1/1993No195 Lbs6 ft2NoNoYes1Pro & Farm1,580,000$8,729$1,580,000$8,729$1,580,000$8,729$NoLink / NHL Link
Wayne Simmonds (1 Way Contract)Blue JacketsLW/RW338/26/1988No185 Lbs6 ft2NoNoYes4Pro & Farm4,000,000$22,099$4,000,000$22,099$4,000,000$22,099$No4,000,000$4,000,000$4,000,000$Link / NHL Link
Zac RinaldoBlue JacketsC/LW/RW316/15/1990No192 Lbs5 ft10NoNoNo2Pro & Farm950,000$5,249$950,000$5,249$950,000$5,249$No950,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2329.83202 Lbs6 ft21.612,609,609$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
60,021,000$21,123,000$8,946,000$4,000,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1
Thornton
Williams
40122
2
Perry
Engvall
Dzingel
30122
3
Vesey
Roy
Lemieux
20122
4
Simmonds
Rask
Gambrell
10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1
Brodie
Matheson
40122
2
Stone
Hamhuis
30122
3
Larsson
Rask
20122
4
Brodie
Matheson
10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1
Thornton
Williams
60122
2
Perry
Engvall
Dzingel
40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1
Brodie
Matheson
60122
2
Stone
Hamhuis
40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1
Williams
60122
2
Thornton
Perry
40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1
Brodie
Matheson
60122
2
Stone
Hamhuis
40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122
Brodie
Matheson
60122
2
Williams
40122
Stone
Hamhuis
40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1
Williams
60122
2
Thornton
Perry
40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1
Brodie
Matheson
60122
2
Stone
Hamhuis
40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Thornton
Williams
Brodie
Matheson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Thornton
Williams
Brodie
Matheson
Extra Forwards
Normal PowerPlayPenalty Kill
Brown
Roy
Vesey
Brown
Roy
Vesey
Extra Defensemen
Normal PowerPlayPenalty Kill
Larsson
Stone
Hamhuis
Larsson
Stone
Hamhuis
Penalty Shots
Williams
Thornton
Perry
Engvall
Goalie
#1 :
Kahkonen
#2 :
Stolarz
Custom OT Lines Forwards
Williams
Thornton
Perry
Engvall
Dzingel
Roy
Vesey
Rask
Brown
Custom OT Lines Defensemen
Brodie
Matheson
Stone
Hamhuis
Larsson


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
1Avalanche2010000168-21000000145-11010000023-110.25061218002310672027167722616463133.33%8362.50%01332275448.37%1385290747.64%612126348.46%473453142310
2Blackhawks20200000414-101010000028-61010000026-400.000471100112046211510081301445600.00%7357.14%01332275448.37%1385290747.64%612126348.46%453149142512
3Blues21000100743110000005141000010023-130.75071421003220723514221782222444125.00%11190.91%01332275448.37%1385290747.64%612126348.46%463250152411
4Bruins31200000810-2211000006511010000025-320.333812200024208828352508723166212216.67%7185.71%01332275448.37%1385290747.64%612126348.46%704970223819
5Canadiens3110000189-11010000013-22100000176130.500811190015208419422148823247511327.27%120100.00%11332275448.37%1385290747.64%612126348.46%654381223818
6Canucks2020000036-31010000023-11010000013-200.0003470020105318132205617165510220.00%7271.43%01332275448.37%1385290747.64%612126348.46%493444142612
7Capitals42100010911-2210000106422110000037-460.75091423002331121324542611725289917317.65%13376.92%01332275448.37%1385290747.64%612126348.46%996895294924
8Coyotes21100000550110000004221010000013-220.500581300212060182517060161642700.00%6183.33%01332275448.37%1385290747.64%612126348.46%493445142412
9Devils40400000819-112020000059-420200000310-700.00081422003230942628400134492810318422.22%14657.14%01332275448.37%1385290747.64%612126348.46%8252104315226
10Ducks20200000210-81010000018-71010000012-100.000246002000441415150772418356116.67%9455.56%01332275448.37%1385290747.64%612126348.46%402755132310
11Flames2010010058-31000010045-11010000013-210.250581300203050141520172183547500.00%10370.00%01332275448.37%1385290747.64%612126348.46%402756162411
12Flyers30300000411-71010000024-22020000027-500.0004812000130662323200823122651100.00%9455.56%01332275448.37%1385290747.64%612126348.46%704773223617
13Golden Knights2010010057-21000010045-11010000012-110.2505914000320571720200601322452150.00%11372.73%01332275448.37%1385290747.64%612126348.46%463249152411
14Hurricanes4300100015114210010006422200000097281.0001525400055411034131301116361210115426.67%6266.67%01332275448.37%1385290747.64%612126348.46%896199295024
15Islanders40400000817-92020000048-42020000049-500.0008152300134096373227013742311061317.69%12283.33%01332275448.37%1385290747.64%612126348.46%8859100295024
16Jets2110000046-21010000025-31100000021120.5004711002110501517180592815447114.29%5260.00%11332275448.37%1385290747.64%612126348.46%432850142613
17Kings22000000716110000005141100000020241.0007121901331061272113065161443500.00%50100.00%01332275448.37%1385290747.64%612126348.46%463149152411
18Kraken2010010026-41010000014-31000010012-110.250246000110431015180691821455120.00%8187.50%01332275448.37%1385290747.64%612126348.46%483450142411
19Lightning3110001012102211000008711000001043140.6671221330043429627323738826168014428.57%80100.00%01332275448.37%1385290747.64%612126348.46%785466223921
20Maple Leafs31200000810-2211000007701010000013-220.333816240013407425163307827267710110.00%12466.67%01332275448.37%1385290747.64%612126348.46%745063224221
21Oilers220000001138110000006151100000052341.000112132003530783126210441815479333.33%5180.00%01332275448.37%1385290747.64%612126348.46%523642132513
22Panthers30300000410-61010000002-22020000048-400.0004812001210751835220952118671119.09%9188.89%01332275448.37%1385290747.64%612126348.46%634277233919
23Penguins40201100715-820200000311-82000110044030.3757142100114111134303891354432771119.09%15286.67%01332275448.37%1385290747.64%612126348.46%9263101295325
24Predators20200000310-71010000015-41010000025-300.000369001020461815130551927458112.50%11463.64%01332275448.37%1385290747.64%612126348.46%503444142412
25Rangers30200001614-82010000149-51010000025-310.167610160031217717302771373833618225.00%17570.59%01332275448.37%1385290747.64%612126348.46%603986233717
26Red Wings30200001814-61000000145-12020000049-510.167813210051207528232171053424629111.11%12191.67%01332275448.37%1385290747.64%612126348.46%644482233817
27Sabres31200000811-31100000030320200000511-620.333814221125107221302101112634846116.67%16287.50%01332275448.37%1385290747.64%612126348.46%624179213818
28Senators31200000912-32110000079-21010000023-120.333918270033309233302909835217210110.00%8275.00%01332275448.37%1385290747.64%612126348.46%694975213517
29Sharks22000000945110000004221100000052341.00091625002340571725150571729455120.00%70100.00%01332275448.37%1385290747.64%612126348.46%463147142513
30Stars2020000069-31010000024-21010000045-100.00061016101320632616210612414404250.00%7271.43%01332275448.37%1385290747.64%612126348.46%432950142612
31Wild211000005501010000024-21100000031220.5005914002210601429170521312506233.33%4175.00%01332275448.37%1385290747.64%612126348.46%473246142511
Total82214802524206290-8441122201213115150-35419260131191140-49590.360206364570226270706223172477071146262679967119092684617.16%2916677.32%21332275448.37%1385290747.64%612126348.46%1878128320456091040507
_Since Last GM Reset82214802524206290-8441122201213115150-35419260131191140-49590.360206364570226270706223172477071146262679967119092684617.16%2916677.32%21332275448.37%1385290747.64%612126348.46%1878128320456091040507
_Vs Conference50113102123122184-6225714010126687-2125417011115697-41340.340122213335113442426132440946243337160848036511911762916.48%1703579.41%11332275448.37%1385290747.64%612126348.46%11337691257374641315
_Vs Division26516021115798-411328010113049-191338011002749-22180.3465710015700151623466821021922423858265186612931516.13%862472.09%01332275448.37%1385290747.64%612126348.46%584394661195331161

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8259L220636457022312626799671190922
All Games
GPWLOTWOTL SOWSOLGFGA
8221482524206290
Home Games
GPWLOTWOTL SOWSOLGFGA
4112221213115150
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41926131191140
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2684617.16%2916677.32%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
724770711466270706
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1332275448.37%1385290747.64%612126348.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1878128320456091040507


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
3 - 2021-10-1413Coyotes2Blue Jackets4BWBoxScore
5 - 2021-10-1628Kraken4Blue Jackets1BLBoxScore
8 - 2021-10-1945Blue Jackets2Red Wings5ALBoxScore
10 - 2021-10-2156Islanders3Blue Jackets1BLBoxScore
12 - 2021-10-2375Hurricanes2Blue Jackets3BWBoxScore
14 - 2021-10-2588Stars4Blue Jackets2BLBoxScore
18 - 2021-10-29112Blue Jackets2Rangers5ALBoxScore
20 - 2021-10-31130Blue Jackets1Devils5ALBoxScore
23 - 2021-11-03146Blue Jackets2Avalanche3ALBoxScore
26 - 2021-11-06170Avalanche5Blue Jackets4BLXXBoxScore
32 - 2021-11-12209Capitals2Blue Jackets3BWBoxScore
33 - 2021-11-13218Rangers4Blue Jackets3BLXXBoxScore
35 - 2021-11-15231Red Wings5Blue Jackets4BLXXBoxScore
38 - 2021-11-18256Blue Jackets1Coyotes3ALBoxScore
40 - 2021-11-20271Blue Jackets1Golden Knights2ALBoxScore
42 - 2021-11-22281Blue Jackets3Sabres5ALBoxScore
44 - 2021-11-24295Jets5Blue Jackets2BLBoxScore
46 - 2021-11-26313Canucks3Blue Jackets2BLBoxScore
47 - 2021-11-27323Blue Jackets2Blues3ALXBoxScore
50 - 2021-11-30342Blue Jackets2Predators5ALBoxScore
52 - 2021-12-02360Blue Jackets4Stars5ALBoxScore
54 - 2021-12-04373Blue Jackets2Capitals1AWBoxScore
55 - 2021-12-05378Sharks2Blue Jackets4BWBoxScore
57 - 2021-12-07388Blue Jackets1Maple Leafs3ALBoxScore
59 - 2021-12-09404Ducks8Blue Jackets1BLBoxScore
61 - 2021-12-11426Blue Jackets1Kraken2ALXBoxScore
64 - 2021-12-14449Blue Jackets1Canucks3ALBoxScore
66 - 2021-12-16463Blue Jackets5Oilers2AWBoxScore
68 - 2021-12-18480Blue Jackets1Flames3ALBoxScore
70 - 2021-12-20489Blue Jackets2Sabres6ALBoxScore
73 - 2021-12-23514Sabres0Blue Jackets3BWBoxScore
77 - 2021-12-27528Maple Leafs5Blue Jackets3BLBoxScore
78 - 2021-12-28538Blue Jackets2Blackhawks6ALBoxScore
80 - 2021-12-30554Predators5Blue Jackets1BLBoxScore
82 - 2022-01-01568Hurricanes2Blue Jackets3BWXBoxScore
85 - 2022-01-04589Lightning3Blue Jackets5BWBoxScore
87 - 2022-01-06603Blue Jackets2Devils5ALBoxScore
89 - 2022-01-08621Devils4Blue Jackets1BLBoxScore
91 - 2022-01-10630Blue Jackets3Canadiens4ALXXBoxScore
92 - 2022-01-11640Blackhawks8Blue Jackets2BLBoxScore
94 - 2022-01-13652Blue Jackets6Hurricanes5AWBoxScore
96 - 2022-01-15669Blue Jackets2Panthers5ALBoxScore
99 - 2022-01-18693Blue Jackets2Islanders5ALBoxScore
101 - 2022-01-20706Blue Jackets2Flyers4ALBoxScore
102 - 2022-01-21714Penguins6Blue Jackets3BLBoxScore
104 - 2022-01-23733Senators2Blue Jackets5BWBoxScore
107 - 2022-01-26754Flames5Blue Jackets4BLXBoxScore
108 - 2022-01-27763Rangers5Blue Jackets1BLBoxScore
111 - 2022-01-30788Blue Jackets4Canadiens2AWBoxScore
112 - 2022-01-31791Panthers2Blue Jackets0BLBoxScore
116 - 2022-02-04816Blue Jackets2Panthers3ALBoxScore
117 - 2022-02-05823Blue Jackets3Hurricanes2AWBoxScore
119 - 2022-02-07843Penguins5Blue Jackets0BLBoxScore
121 - 2022-02-09853Devils5Blue Jackets4BLBoxScore
124 - 2022-02-12877Kings1Blue Jackets5BWBoxScore
125 - 2022-02-13887Bruins2Blue Jackets1BLBoxScore
127 - 2022-02-15901Maple Leafs2Blue Jackets4BWBoxScore
131 - 2022-02-19929Wild4Blue Jackets2BLBoxScore
133 - 2022-02-21945Golden Knights5Blue Jackets4BLXBoxScore
136 - 2022-02-24965Blue Jackets2Senators3ALBoxScore
137 - 2022-02-25971Capitals2Blue Jackets3BWXXBoxScore
139 - 2022-02-27988Blues1Blue Jackets5BWBoxScore
142 - 2022-03-021005Blue Jackets2Penguins3ALXBoxScore
145 - 2022-03-051030Blue Jackets2Jets1AWBoxScore
146 - 2022-03-061042Blue Jackets3Wild1AWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2022-03-091063Islanders5Blue Jackets3BLBoxScore
151 - 2022-03-111077Blue Jackets2Islanders4ALBoxScore
153 - 2022-03-131093Blue Jackets2Bruins5ALBoxScore
155 - 2022-03-151109Bruins3Blue Jackets5BWBoxScore
156 - 2022-03-161117Blue Jackets0Flyers3ALBoxScore
158 - 2022-03-181130Flyers4Blue Jackets2BLBoxScore
160 - 2022-03-201147Blue Jackets2Red Wings4ALBoxScore
163 - 2022-03-231167Blue Jackets2Penguins1AWXBoxScore
164 - 2022-03-241178Canadiens3Blue Jackets1BLBoxScore
167 - 2022-03-271208Blue Jackets2Kings0AWBoxScore
168 - 2022-03-281214Blue Jackets1Ducks2ALBoxScore
170 - 2022-03-301226Blue Jackets5Sharks2AWBoxScore
173 - 2022-04-021243Senators7Blue Jackets2BLBoxScore
175 - 2022-04-041262Oilers1Blue Jackets6BWBoxScore
177 - 2022-04-061274Blue Jackets4Lightning3AWXXBoxScore
179 - 2022-04-081292Blue Jackets1Capitals6ALBoxScore
180 - 2022-04-091305Lightning4Blue Jackets3BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity57504750375027501000
Ticket Price1251007550300
Attendance221,308185,248143,856107,06931,137
Attendance PCT93.87%95.12%93.56%94.96%75.94%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 16796 - 93.31% 2,534,743$103,924,472$1800085

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
63,473,729$ 66,021,000$ 56,946,000$ 0$ 1,750,000$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
364,757$ 62,261,914$ 0$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 370,282$ 370,282$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
397,497$ 66,486,890$ 66,089,393$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
64,376,671$ 17,123,329$ 81,500,000$ 4,176,671$

Retained Salary
Player232022-20232023-20242024-20252025-2026
Total0$0$0$0$0$

Retained Buyout
Player232022-20232023-20242024-20252025-20262026-2027
Total0$0$0$0$0$0$



Depth Chart

Left WingCenterRight Wing
Joe ThorntonAGE:42PO:0OV:68
Corey PerryAGE:36PO:0OV:68
Alexander SteenAGE:37PO:0OV:68
Pierre EngvallAGE:25PO:0OV:68
Ryan DzingelAGE:29PO:0OV:67
Jimmy VeseyAGE:28PO:0OV:67
Rasmus AsplundAGE:24PO:0OV:66
Wayne SimmondsAGE:33PO:0OV:65
Brendan LemieuxAGE:25PO:0OV:65
Zac RinaldoAGE:31PO:0OV:64
Garrett WilsonAGE:30PO:0OV:62
Turner ElsonAGE:29PO:0OV:61
Tanner MacMasterAGE:25PO:0OV:60
Ryan DmowskiAGE:24PO:0OV:59
Derek HulakAGE:32PO:0OV:58
Joe ThorntonAGE:42PO:0OV:68
Pierre EngvallAGE:25PO:0OV:68
Ryan DzingelAGE:29PO:0OV:67
Victor RaskAGE:28PO:0OV:67
Liam Foudy (R)AGE:21PO:0OV:67
Nicolas RoyAGE:24PO:0OV:67
Rasmus AsplundAGE:24PO:0OV:66
Tyler GraovacAGE:28PO:0OV:65
Dylan GambrellAGE:25PO:0OV:65
Logan BrownAGE:23PO:0OV:65
Zac RinaldoAGE:31PO:0OV:64
Mitchell StephensAGE:24PO:0OV:64
Brian GibbonsAGE:33PO:0OV:63
Kevin LynchAGE:30PO:0OV:61
Sean MaloneAGE:26PO:0OV:61
Travis St. DenisAGE:29PO:0OV:60
Nathan ToddAGE:26PO:0OV:60
Justin WilliamsAGE:40PO:0OV:68
Corey PerryAGE:36PO:0OV:68
Alexander SteenAGE:37PO:0OV:68
Pierre EngvallAGE:25PO:0OV:68
Ryan DzingelAGE:29PO:0OV:67
Jimmy VeseyAGE:28PO:0OV:67
Rasmus AsplundAGE:24PO:0OV:66
Wayne SimmondsAGE:33PO:0OV:65
Brendan LemieuxAGE:25PO:0OV:65
Philip Tomasino (R)AGE:20PO:0OV:65
Dylan GambrellAGE:25PO:0OV:65
Zac RinaldoAGE:31PO:0OV:64
Devante Smith-PellyAGE:29PO:0OV:63
Garrett WilsonAGE:30PO:0OV:62
Alexander Holtz (R)AGE:19PO:0OV:60
Cliff PuAGE:23PO:0OV:60
Matt LoritoAGE:31PO:0OV:60
Lewis Zerter-GossageAGE:26PO:0OV:58
Luke Evangelista (R)AGE:19PO:0OV:57

Defense #1Defense #2Goalie
TJ BrodieAGE:31PO:0OV:69
Mike MathesonAGE:27PO:0OV:69
Michael StoneAGE:31PO:0OV:67
Dan HamhuisAGE:39PO:0OV:66
Juuso Valimaki (R)AGE:23PO:0OV:65
Pierre-Olivier JosephAGE:22PO:0OV:65
Jacob LarssonAGE:24PO:0OV:65
Cal FooteAGE:23PO:0OV:64
Jake BeanAGE:23PO:0OV:64
Steven SantiniAGE:26PO:0OV:63
Gustav LindstromAGE:23PO:0OV:63
Logan StanleyAGE:23PO:0OV:63
William LagessonAGE:25PO:0OV:63
Christian FolinAGE:30PO:0OV:62
Devante StephensAGE:24PO:0OV:60
Logan RoeAGE:30PO:0OV:58
Michael KimAGE:26PO:0OV:58
Ilya SamsonovAGE:24PO:0OV:72
Kaapo KahkonenAGE:25PO:0OV:70
Anthony StolarzAGE:27PO:0OV:70
Charlie LindgrenAGE:28PO:0OV:66
Pat NagleAGE:34PO:0OV:64
Sean BonarAGE:30PO:0OV:64
Kevin PoulinAGE:31PO:0OV:63

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
A.J. JenksBlue Jackets
Aaron LuchukBlue JacketsLink
Alexander NikishinBlue Jackets2293
Allen YorkBlue Jackets
Andrej NestrasilBlue Jackets
Anthony CamaraBlue Jackets
Ben SmithBlue Jackets
Blake TatchellBlue Jackets
Brad BoyesBlue Jackets
Brendan BrissonBlue Jackets2223
Brock BeukeboomBlue Jackets
Cam ReidBlue Jackets
Cameron McDonaldBlue Jackets23132
Charles Alexis LegaultBlue Jackets
Chris ThorburnBlue JacketsLink
Dane WaltersBlue Jackets
Daniel SedinBlue Jackets
Derek MathersBlue Jackets
Devin SetoguchiBlue Jackets
Drayson BowmanBlue Jackets
Emerik DespatieBlue Jackets23183
Graeme ClarkBlue Jackets2165
Guillaume RichardBlue Jackets2382
Harrison RuoppBlue Jackets
Iiro PakarinenBlue Jackets
Ilya KonovalovBlue Jackets21232
Ivan Bjorkly NordstromBlue Jackets23228
Jackson BlakeBlue Jackets2389
Jackson KunzBlue Jackets22128
Jacob GuevinBlue Jackets23164
Jakub KindlBlue Jackets
Jaroslav PavelkaBlue Jackets
Jean DupuyBlue Jackets
Jeff JakaitisBlue Jackets
Jesse BlackerBlue Jackets
Joe RehkampBlue Jackets
Johnny OduyaBlue Jackets
Jonatan AsplundBlue Jackets
Jordan SpenceBlue Jackets2183
Josh HansonBlue Jackets
Jussi JokinenBlue Jackets
Justin BarronBlue Jackets2226
Kenton HelgesenBlue Jackets
Kyle SchemppBlue Jackets
Mark FayneBlue Jackets
Matt BaileyBlue Jackets
Michael GarteigBlue JacketsLink
Michael LeightonBlue JacketsLink
Mitch ElliotBlue Jackets
Morgan EllisBlue Jackets
Nathan LégaréBlue Jackets2130
Nick WaltersBlue Jackets
PA ParenteauBlue Jackets
Riley StottsBlue Jackets20115
Rémi PoirierBlue Jackets22134
Shane DoanBlue Jackets
Shane EisermanBlue Jackets
Steve OleksyBlue JacketsLink
Thomas PelletierBlue Jackets21145
Tom GilbertBlue Jackets
Tom PyattBlue JacketsLink
Tyson HindsBlue Jackets23196
Victor OstmanBlue Jackets22243
Ville OttavainenBlue Jackets23249
Wayne SimpsonBlue JacketsLink
Xavier BourgaultBlue Jackets2318
Xavier ParentBlue Jackets21149
Xavier SimoneauBlue Jackets

Draft Picks

Year R1R2R3R4R5R6R7R8
24
25
26
27
28




News Database File Not Found. Please create one from the STHS.




[3/8/2022 11:04:43 AM] - TRADE : From Kraken to Blue Jackets : Dylan Gambrell (65).
[3/8/2022 11:04:43 AM] - TRADE : From Blue Jackets to Kraken : Y:25-RND:7-CBJ.
[3/8/2022 9:14:12 AM] - TRADE : From Blue Jackets to Ducks : Erik Haula (70).
[3/8/2022 9:14:12 AM] - TRADE : From Ducks to Blue Jackets : Alexander Steen (68), Ryan Dmowski (59), Victor Ostman (P), Y:24-RND:4-SEA.
[2/16/2022 11:08:52 AM] - TRADE : From Kraken to Blue Jackets : Ilya Samsonov (72), Cal Foote (64).
[2/16/2022 11:08:52 AM] - TRADE : From Blue Jackets to Kraken : Tage Thompson (66), Simon Edvinsson (P).
[1/11/2022 7:30:18 PM] - TRADE : From Blue Jackets to Maple Leafs : Nick Paul (68), Rasmus Ristolainen (71), Y:25-RND:4-CBJ, Y:25-RND:5-CBJ.
[1/11/2022 7:30:18 PM] - TRADE : From Maple Leafs to Blue Jackets : TJ Brodie (69), Joe Thornton (68), Juuso Valimaki (65), Y:25-RND:2-TOR.
[11/2/2021 11:09:42 AM] - Devante Smith-Pelly signed with Blue Jackets for $6,000,000 for 1 year(s).
[11/2/2021 11:09:42 AM] - Devante Smith-Pelly was added to Blue Jackets.
[11/1/2021 11:38:43 AM] - Sean Malone signed with Blue Jackets for $1,500,000 for 1 year(s) / Option : 1 Way Contract .
[11/1/2021 11:38:43 AM] - Sean Malone was added to Blue Jackets.
[10/13/2021 9:35:33 AM] - 4e compensatoire 2020 has been deleted from Blue Jackets.



[4/9/2022 8:01:54 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[4/9/2022 8:01:53 AM] Alexander Steen from Blue Jackets is injured from Exhaustion.
[4/9/2022 8:01:43 AM] Auto Lines Function has been run for Blue Jackets.
[4/9/2022 8:01:43 AM] Auto Roster Partial Function has been run for Blue Jackets.
[4/8/2022 11:03:26 AM] Game 1292 - Rasmus Asplund from Monsters is injured (Left Foot) and is out for 1 week.
[4/8/2022 11:03:20 AM] Auto Lines Function has been run for Blue Jackets.
[4/8/2022 11:03:18 AM] Auto Roster Partial Function has been run for Blue Jackets.
[4/6/2022 11:27:09 AM] Brian Gibbons from Monsters is back from Strained Right Elbow Injury.
[4/6/2022 11:27:08 AM] Game 1274 - Brian Gibbons from Monsters is injured (Strained Right Elbow) and is out for 2 days.
[4/6/2022 11:27:00 AM] Auto Lines Function has been run for Blue Jackets.
[4/6/2022 11:26:58 AM] Auto Roster Partial Function has been run for Blue Jackets.
[4/4/2022 11:00:15 AM] Auto Lines Function has been run for Blue Jackets.
[4/4/2022 11:00:14 AM] Auto Roster Partial Function has been run for Blue Jackets.
[4/2/2022 11:48:01 AM] Auto Lines Function has been run for Blue Jackets.
[4/2/2022 11:48:01 AM] Auto Roster Partial Function has been run for Blue Jackets.
[4/1/2022 11:06:20 AM] Steven Santini from Monsters is back from Chest/Ribs Injury.
[3/30/2022 11:10:14 AM] Auto Lines Function has been run for Blue Jackets.
[3/30/2022 11:10:13 AM] Auto Roster Partial Function has been run for Blue Jackets.
[3/29/2022 11:01:38 AM] Jimmy Vesey from Blue Jackets is back from Exhaustion.
[3/28/2022 11:20:13 AM] Jimmy Vesey from Blue Jackets is injured from Exhaustion.
[3/24/2022 11:01:14 AM] Farm Game #1178 - Rasmus Asplund from Monsters has scored a Hat Trick!
[3/23/2022 11:17:42 AM] Game 1167 - Steven Santini from Monsters is injured (Chest/Ribs) and is out for 1 week.
[3/23/2022 11:17:37 AM] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.1.1



Alexander Steen is out for 0 days because of a Exhaustion.
Rasmus Asplund is out for 2 days because of a Left Foot Injury.



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
1Taylor Hall72829042171154188910845274310.57%3291444019.848314122434300015591944.68%70.982398
2Ryan O'Reilly78220936457392966781425199310.49%3161477018.8943102145232551042321653.43%10.781772
3Jarome Iginla568199234433903911042657187810.60%1541087519.1550711212560001331446.61%40.801958
4Patric Hornqvist40913416830225131593475120711.10%144714217.46294069108000317741.89%10.85928
5Ondrej Palat4111101852956616466654112308.94%151766018.6424376112649132918329.34%00.77510

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
1Sergei Bobrovsky556305171590.9192.51324347118135916727646224130.663261
2Carey Price1377243200.9102.4881461011337375669410.65481
3Jake Allen1507159170.9072.54865381036639380720.60035
4Miikka Kiprusoff1306247180.9192.64774240134041791790740.713101
5Anthony Stolarz1324174110.8903.4571848241337490210.76926

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
Regular Season
582303902524266314-4841181801121146155-941122101403120159-3977266466732010888490255807909368082674100188517022505321.20%2447868.03%7825169048.82%854173349.28%741145550.93%166589719178501559777
682283401676236251-1541141800324118125-741141601352118126-88423638562103047968526470847903872252484678916862284218.42%2685479.85%9968194249.85%971192950.34%646132348.83%1678916388117091523747
782313700329220259-3941191700212120126-641122000117100133-337822036258210055808326070822912858254779279817142344117.52%2995681.27%8964191350.39%885184547.97%654136347.98%170294617707811507731
882273504349233265-3241151502144130137-741122002205103128-258223337660913056898025160810853826265092073616152053818.54%2876378.05%4956187850.91%994203348.89%578119848.25%164789718247811519733
982303206455254248641151703123129123641151503332125125091254425679410559692276508621010855259480846615592665520.68%1642783.54%41055207550.84%995196250.71%595122948.41%1810106617177451466732
1082313101091023222210411911000651311112041122001035101111-1092232381613100529674270808441017817284088273616822584818.60%2014080.10%11025207049.52%1014211148.03%586116850.17%165291918767821486710
11823631032372332201341201301124126992741161802113107121-1493233386619200491057326310761931924264578353715192634918.63%2665081.20%41011203149.78%1006200550.17%594114551.88%171896417857701475731
12823630043632352191641211202222117991841151802141118120-29823537961452060709526940905850918256888768015402875719.86%2995581.61%51128209553.84%1066210250.71%593117150.64%1777102717477641447716
138239260336525721740412012021241451103541191401241112107510425743769445069968328130896987901260786944115652695319.70%1893581.48%01041207450.19%1028201650.99%633122451.72%1803105717387331441730
148244180157726621056411911004431331112241257011341339934116266444710330658610728020953899924251982448116782935418.43%2103782.38%81076209251.43%998193351.63%611117352.09%1856109716897421453735
158235250056112342161841199003461231032041161600225111113-29823439462825063778826940883888896265489041915732764215.22%2093981.34%41074209651.24%1044205650.78%596118250.42%1846108217227351446736
16824324043442602154541221102222133101324121130212212711413109260467727070102727825480858863800225360666016142353816.17%2624383.59%31519282753.73%1468275753.25%673125453.67%2028143319275861026514
178645260343524719552432311031231341003443221500312113951811124744168825097707426430905882824222961865716342394719.67%2363186.86%31651300754.91%1458276552.73%674125453.75%2159153419716031083549
1882412801057253209444119160004212210715412212010151311022910125344770044099777126050929835807228468247315622273314.54%1652485.45%01493282452.87%1330254552.26%701126055.63%2067147918795701036525
1982333102628222225-341201202412129108214113190021693117-248822239862006069797023990778789797223770741615392383715.55%1572782.80%01424268153.11%1385258553.58%709126556.05%2065148218985671023521
2082452505151242186564120160302011694224125902131126923411224243167337097686724250822776803238873470216902754315.64%3214984.74%11411281250.18%1439287150.12%631123451.13%1970136919545961034516
2182234504451188233-45411818013101081053415270314180128-486918833352134073634320600727669639236770877218043095517.80%3286679.88%51350264051.14%1450287550.43%634120752.53%1923131520046151035509
2282215003215189291-102417280321090157-674114220000599134-355718934453300070585721490741692693264076574018702925619.18%3117775.24%01322260650.73%1393297346.86%609126348.22%1815123120946201044502
2382214802524206290-8441122201213115150-35419260131191140-4959206364570226270706223172477071146262679967119092684617.16%2916677.32%21332275448.37%1385290747.64%612126348.46%1878128320456091040507
Total Regular Season1562639615049648411144734485-127813402870263345502365222114478129932802331396121082264-156171944737660121333758621336153214164849572415903164031500847846151211205931455491288718.06%470791780.52%68226254410751.30%221634400350.37%120702363151.08%350692200437447141662465312230
Playoff
11734000002124-330300000613-74310000015114621355600081032330807974235582611019526.32%14285.71%110417659.09%7416744.31%5910655.66%150911496012057
121046000002930-1523000001317-452300000161338295180100512113630981271183411117320032618.75%34682.35%013126749.06%13926253.05%7615947.80%2221252279618291
131798000004850-2954000002834-68440000020164184884132010121716585015321020754618077340581017.24%36975.00%023848249.38%21743649.77%13523856.72%380223367153296151
14945000002122-1523000001316-3422000008628213960010678296010010393283957015738718.42%30486.67%112325149.00%11323348.50%7512858.59%1941141938015176
1513670000035314624000001616074300000191541235589300011111244001601441214331337824034720.59%39489.74%018934255.26%17935151.00%12220559.51%298176282121235117
161266000003437-36420000019190624000001518-31234649800015811363011112212535390117288511121.57%50786.00%123144851.56%19839350.38%9820747.34%3072162748014773
17734000001517-241300000511-63210000010646152944100438206054746918054411271516.67%13192.31%011723050.87%12721957.99%439545.26%176128170508945
181789000004739894500000282448440000019154164787134020211015496017913715754016013735946510.87%48491.67%131356655.30%35966054.39%13525253.57%409289452129220108
2051400000717-1030300000111-102110000066027142100041214305647401704640921417.14%19573.68%010017158.48%8017645.45%377748.05%11580122356230
Total Playoff97445300000257267-1050203000000129161-324724230000012810622882574617182408679863125099110431004308192765919133075317.26%2834285.16%41546293352.71%1486289751.29%780146753.17%2254144622398081507753

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
1Jarome Iginla83203959-175146983136.39%31163519.70414184700003147.97%00.7200
2Ryan O'Reilly69203252-686213718111.05%30143220.77513182501110151.75%00.7300
3Taylor Hall68212647-92483872657.92%20135019.86911203900004144.25%00.7000
4Ondrej Palat58152338-1121103731579.55%22108018.625491801163134.29%00.7000
5Ales Hemsky2781826002324928.70%1247417.58235900003137.50%01.1000

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
1Sergei Bobrovsky68323060.9132.754041221852124720110.0000
2Carey Price178530.9272.20103822385200000.0000
3Jake Allen93220.9152.0749220171990010.0000
4Marc-Andre Fleury41300.8943.7319300121130000.0000
5Karri Ramo20000.78110.00420073210000.0000