Out of Date Version of the STHS! Please update your version!
Login

Blue Jackets
GP: 37 | W: 22 | L: 13 | OTL: 2 | P: 46
GF: 106 | GA: 99 | PP%: 17.31% | PK%: 88.18%
GM : David Kosarek | Morale : 50 | Team Overall : 68
Next Games #579 vs Senators
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Blue Jackets
22-13-2, 46pts
2
FINAL
1 Islanders
24-9-2, 50pts
Team Stats
W2StreakL1
13-9-0Home Record12-4-1
9-4-2Away Record12-5-1
7-3-0Last 10 Games8-1-1
2.86Goals Per Game3.29
2.68Goals Against Per Game2.77
17.31%Power Play Percentage15.15%
88.18%Penalty Kill Percentage81.10%
Blackhawks
17-15-2, 36pts
1
FINAL
2 Blue Jackets
22-13-2, 46pts
Team Stats
L1StreakW2
8-9-1Home Record13-9-0
9-6-1Away Record9-4-2
3-5-2Last 10 Games7-3-0
2.79Goals Per Game2.86
2.71Goals Against Per Game2.68
21.26%Power Play Percentage17.31%
85.27%Penalty Kill Percentage88.18%
Blue Jackets
22-13-2, 46pts
2022-01-23
Senators
13-18-3, 29pts
Team Stats
W2StreakW2
13-9-0Home Record7-10-1
9-4-2Away Record6-8-2
7-3-0Last 10 Games6-4-0
2.86Goals Per Game2.65
2.68Goals Against Per Game2.65
17.31%Power Play Percentage14.17%
88.18%Penalty Kill Percentage81.45%
Capitals
21-12-2, 44pts
2022-01-25
Blue Jackets
22-13-2, 46pts
Team Stats
W1StreakW2
9-4-1Home Record13-9-0
12-8-1Away Record9-4-2
5-4-1Last 10 Games7-3-0
3.09Goals Per Game2.86
2.57Goals Against Per Game2.86
17.95%Power Play Percentage17.31%
83.57%Penalty Kill Percentage88.18%
Hurricanes
10-17-5, 25pts
2022-01-27
Blue Jackets
22-13-2, 46pts
Team Stats
L2StreakW2
5-6-2Home Record13-9-0
5-11-3Away Record9-4-2
3-6-1Last 10 Games7-3-0
2.72Goals Per Game2.86
3.47Goals Against Per Game2.86
16.00%Power Play Percentage17.31%
81.08%Penalty Kill Percentage88.18%
Team Leaders
Elias LindholmGoals
Elias Lindholm
19
Andrew MangiapaneAssists
Andrew Mangiapane
22
Elias LindholmPoints
Elias Lindholm
38
Brian DumoulinPlus/Minus
Brian Dumoulin
14
Sergei BobrovskyWins
Sergei Bobrovsky
21
Sergei BobrovskySave Percentage
Sergei Bobrovsky
0.908

Team Stats
Goals For
106
2.86 GFG
Shots For
1182
31.95 Avg
Power Play Percentage
17.3%
27 GF
Offensive Zone Start
43.6%
Goals Against
99
2.68 GAA
Shots Against
975
26.35 Avg
Penalty Kill Percentage
88.2%%
13 GA
Defensive Zone Start
38.2%
Team Info

General ManagerDavid Kosarek
CoachBrad Larsen
DivisionMetropolitan Division
ConferenceEastern Conference
CaptainJeff Carter
Assistant #1Jeff Petry
Assistant #2Max Pacioretty


Arena Info

NameNationwide Arena
Capacity20,000
Attendance19,831
Season Tickets10,000


Roster Info

Pro Team22
Farm Team27
Contract Limit49 / 80
Prospects44


Salary Cap

Estimated Season Salary Cap70,376,875$
Available Salary Cap-376,875$
Special Salary Cap Value0$
Players In Salary Cap23


Finance

Year to Date Revenue32,856,190$
Year To Date Expenses30,587,450$
Estimated Season Revenue28,375,800$
Estimated Season Expenses40,841,892$
Current Bank Account27,634,243$
Projected Bank Account14,150,043$


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
1Elias LindholmX100.0069367789768794888779877886686305074N02716,000,000$
2Jeff Carter (C)XX100.007537758182839179898073748186820507203726,500,000$
3Paul StastnyX100.006935788573838980917872737186800507103615,000,000$
4Andrew MangiapaneXXX98.0070387489678094823668807376645705070N02624,000,000$
5Michael Bunting (R)XX98.007239638272799382358072657266590506902714,100,000$
6Troy TerryXX100.006043758272849182437685648362540506902524,100,000$
7Jason SpezzaXX99.006436777582718970887769676990830506803911,400,000$
8Eric RobinsonX98.007540788178768771356964726566600506602712,100,000$
9Sonny MilanoXX100.006436807673798668367269626164560506502611,200,000$
10Alexander VolkovXX100.00603780557549455536545559586252050540251500,000$
11Jeff Petry (A)X100.008039727281898765307062775882770507003414,400,000$
12Brian DumoulinX100.007337786684889155306558815174670506803133,200,000$
13John MarinoX100.007040777475869457306956765562540506702512,700,000$
14Kris RussellX100.007238797366776957306760805282750506603532,200,000$
15Dysin Mayo (R)X100.007946757077878749306260795464550506602612,600,000$
16Dean KukanX100.007140787078787452306561705370610506402911,100,000$
Scratches
1Tage ThompsonXXX92.9069417381928492825475856788625505071N02424,900,000$
2Max Pacioretty (A)X61.746839717779837381347885688280790507103354,400,000$
3Radek FaksaX76.197743697682809262926357765968610506502831,800,000$
4Ryan McDonaghX69.597538786977898959307060835478720506903334,200,000$
Farm Team
1Michael AmadioXXX100.006849787379738164465968655864550506302611,100,000$
2Colin WhiteXX100.007037807075796566746760606562540506202511,200,000$
3Peyton Krebs (R)XX100.006438777672788263437062606354450506202131,000,000$
4Connor McMichael (R)XX100.006737827572708767576063646754450506202131,000,000$
5Jansen HarkinsX100.00674080747568926043575962616253050610251800,000$
6Matias Maccelli (R)X100.00643683766977656640625562635649050600213800,000$
7Brett RitchieX100.007957596485697457355558605570620506002911,100,000$
8Tim Gettinger (R)X100.00713676649068615936545264616050050580241700,000$
9Wade Allison (R)X100.00603682677966606236545259636254050570241900,000$
10Josh DunneX100.00593673548445515839535758585849050540231700,000$
11Hugh McGingXX100.005535826467445856415153565460510505402410100,000$
12Justin SourdifX100.004444444444444444444544454450500504502010100,000$
13Ethan BearX100.007038787171788259306462705562530506402511,200,000$
14Josh MahuraX100.007741777072747256306161695460500506302411,200,000$
15Nick BlankenburgX100.00774680716481616030605867596053050620241900,000$
16Marcus Bjork (R)X100.00643575638167665430636065505646050600241400,000$
17Brendan GuhleX100.007037776578756155305455645262520506002521,000,000$
18Jake Christiansen (R)X100.00673780707266616030545864585849050600232700,000$
19Kole Sherwood (R)X100.00703772657766605838545259596252050570252700,000$
20Brandon GignacXX100.00553583617044555736545256526050050540249100,000$
21Chris BigrasX100.00554176577550535230455061516656050550271600,000$
22Eddie WittchowX100.00635558538552554830464558487061050550298100,000$
23Hunter SkinnerX100.00563580568050555030465061505444050550219100,000$
TEAM AVERAGE94.5571397576778185694871697266726505068
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
1Sergei Bobrovsky97.50848986738881848486847380770507103423,300,000$
2Mackenzie Blackwood100.0071625984737073737571716457050630251900,000$
Scratches
Farm Team
1Anton Khudobin98.00615552626459626363627184790505803621,200,000$
2Michael Hutchinson100.00595552786055596060605876690505703221,200,000$
3Garrett Metcalf (R)100.0046444273514846504951556456050500264100,000$
4Ian Scott (R)100.0041404080454341414250555847050480239100,000$
TEAM AVERAGE98.507876737981767979817872726705067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brad Larsen25959595555570CAN45110,000$


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
1Elias LindholmBlue JacketsC371919382120371091623710611.73%476020.555510451400000313353.90%98700001.0014000155
2Andrew MangiapaneBlue JacketsC/LW/RW371122335804158142511047.75%674520.16639471290005762226.53%4900000.8801000215
3Jeff CarterBlue JacketsC/RW371018287140619612031808.33%576120.58257241220001552056.91%97000000.7412000141
4Max PaciorettyBlue JacketsLW341513281603542125316812.00%365219.1835821117000002134.09%4400000.8613000320
5Michael BuntingBlue JacketsLW/RW3781624-6160515711131667.21%467618.2833627126000003026.42%5300000.7101000012
6Tage ThompsonBlue JacketsC/LW/RW258152358028348827649.09%246918.79110111797000012068.00%2500000.9802000211
7Ryan McDonaghBlue JacketsD2741418014051253572311.43%3362923.3324617103000171100.00%000000.5700000131
8Jeff PetryBlue JacketsD37314171132089313811337.89%3584022.7223521130000053200.00%000000.4000000100
9Jason SpezzaBlue JacketsC/RW3941115422021545820486.90%352113.360112340001120258.49%47700000.5800000000
10Troy TerryBlue JacketsC/RW335101521757439931955.05%261918.7803319114000001126.47%3400000.4813100101
11Brian DumoulinBlue JacketsD3411112141003932255124.00%3769120.34022113000193000.00%000000.3500000020
12John MarinoBlue JacketsD376410-619547193111719.35%2481422.0222416128000047100.00%000000.2500001100
13Eric RobinsonBlue JacketsLW37628-8135376251193811.76%1063417.160000300011060037.21%4300000.2500000100
14Radek FaksaBlue JacketsC37246-916041764910264.08%1055815.100001300001010156.73%68400000.2100000001
15Sonny MilanoBlue JacketsLW/RW37336-940924379338.11%237610.170003350000110042.11%1900000.3200000000
16Dysin MayoBlue JacketsD22156-330037772214.29%2035916.3600002000046000.00%000000.3300000011
17Kris RussellBlue JacketsD37145-182204226202135.00%3865117.62101943000093000.00%000000.1500000000
18Paul StastnyBlue JacketsC6011-300566380.00%16110.2901116000060058.57%7000000.3200000000
19Dean KukanBlue JacketsD10011-340944120.00%915215.260110900002000.00%000000.1300000000
20Connor McMichaelCleveland Monsters (CBJ)C/LW6011-400101310.00%0305.1500000000000044.44%1800000.6511000000
21Michael AmadioCleveland Monsters (CBJ)C/LW/RW22101-8757612248.33%01295.89000010000251036.36%3300000.1500100001
22Marcus BjorkCleveland Monsters (CBJ)D15000000000010.00%1221.490000600003000.00%000000.00%00000000
23Josh MahuraCleveland Monsters (CBJ)D5000-160221000.00%66112.360000000000000.00%000000.00%00000000
24Ethan BearCleveland Monsters (CBJ)D12000-81751334120.00%917114.280000200001000.00%000000.00%00000000
25Alexander VolkovBlue JacketsLW/RW37000000000000.00%010.040000000000000.00%000000.00%00000000
Team Total or Average697108188296-352972571081612263458368.81%2641139616.35274875271137500010844201054.31%350600000.52517201142019
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
1Sergei BobrovskyBlue Jackets3321920.9082.32183502717690100.66715325322
2Mackenzie BlackwoodBlue Jackets91400.8743.7741420262060100.00%0527000
Team Total or Average42221320.9012.5922502297975020153732322


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 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 VolkovBlue JacketsLW/RW2507.07.1997No193 Lbs6 ft1NoNoNo1Pro & Farm500,000$284,375$500,000$284,375$No
Andrew MangiapaneBlue JacketsC/LW/RW2607.07.1996No184 Lbs5 ft10YesNoNo2Pro Only4,000,000$2,275,000$4,000,000$2,275,000$No4,000,000$Link / NHL Link
Brian DumoulinBlue JacketsD3107.07.1991No207 Lbs6 ft4NoNoNo3Pro Only3,200,000$1,820,000$3,200,000$1,820,000$No3,200,000$3,200,000$NHL Link
Dean KukanBlue JacketsD2907.07.1993No190 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$625,625$1,100,000$625,625$NoNHL Link
Dysin MayoBlue JacketsD2607.07.1996Yes183 Lbs6 ft2NoNoNo1Pro Only2,600,000$1,478,750$2,600,000$1,478,750$NoNHL Link
Elias LindholmBlue JacketsC2707.07.1995No195 Lbs6 ft1YesNoNo1Pro Only6,000,000$3,412,500$6,000,000$3,412,500$NoNHL Link
Eric RobinsonBlue JacketsLW2707.07.1995No201 Lbs6 ft2NoNoNo1Pro Only2,100,000$1,194,375$2,100,000$1,194,375$NoNHL Link
Jason SpezzaBlue JacketsC/RW3907.07.1983No219 Lbs6 ft3NoNoNo1Pro Only1,400,000$796,250$1,400,000$796,250$NoNHL Link
Jeff CarterBlue JacketsC/RW3707.07.1985No219 Lbs6 ft3NoNoNo2Pro Only6,500,000$3,696,875$6,500,000$3,696,875$No6,500,000$NHL Link
Jeff PetryBlue JacketsD3407.07.1988No209 Lbs6 ft3NoNoNo1Pro Only4,400,000$2,502,500$4,400,000$2,502,500$NoNHL Link
John MarinoBlue JacketsD2507.07.1997No181 Lbs6 ft1NoNoNo1Pro Only2,700,000$1,535,625$2,700,000$1,535,625$NoNHL Link
Kris RussellBlue JacketsD3507.07.1987No170 Lbs5 ft10NoNoNo3Pro Only2,200,000$1,251,250$2,200,000$1,251,250$No2,200,000$2,200,000$NHL Link
Mackenzie BlackwoodBlue JacketsG2507.07.1997No225 Lbs6 ft4NoNoNo1Pro Only900,000$511,875$900,000$511,875$NoNHL Link
Max PaciorettyBlue JacketsLW3307.07.1989No217 Lbs6 ft2NoNoNo5Pro Only4,400,000$2,502,500$4,400,000$2,502,500$No4,400,000$4,400,000$4,400,000$4,400,000$NHL Link
Michael BuntingBlue JacketsLW/RW2707.07.1995Yes186 Lbs6 ft0NoNoNo1Pro Only4,100,000$2,331,875$4,100,000$2,331,875$NoNHL Link
Paul StastnyBlue JacketsC3607.07.1986No193 Lbs6 ft0NoNoNo1Pro Only5,000,000$2,843,750$5,000,000$2,843,750$NoNHL Link
Radek FaksaBlue JacketsC2807.07.1994No220 Lbs6 ft3NoNoNo3Pro Only1,800,000$1,023,750$1,800,000$1,023,750$No1,800,000$1,800,000$NHL Link
Ryan McDonaghBlue JacketsD3307.07.1989No215 Lbs6 ft1NoNoNo3Pro Only4,200,000$2,388,750$4,200,000$2,388,750$No4,200,000$4,200,000$NHL Link
Sergei BobrovskyBlue JacketsG3407.07.1988No182 Lbs6 ft2NoNoNo2Pro Only3,300,000$1,876,875$3,300,000$1,876,875$No3,300,000$NHL Link
Sonny MilanoBlue JacketsLW/RW2607.07.1996No194 Lbs6 ft0NoNoNo1Pro Only1,200,000$682,500$1,200,000$682,500$NoNHL Link
Tage ThompsonBlue JacketsC/LW/RW2407.07.1998No218 Lbs6 ft7YesNoNo2Pro Only4,900,000$2,786,875$4,900,000$2,786,875$No4,900,000$Link / NHL Link
Troy TerryBlue JacketsC/RW2507.07.1997No185 Lbs6 ft0NoNoNo2Pro Only4,100,000$2,331,875$4,100,000$2,331,875$No4,100,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2229.64199 Lbs6 ft21.773,209,091$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
70,600,000$38,600,000$15,800,000$4,400,000$4,400,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Elias LindholmAndrew Mangiapane32113
2Michael BuntingJeff CarterTroy Terry30122
3Eric RobinsonPaul StastnyJason Spezza29122
4Eric RobinsonSonny Milano9131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff PetryBrian Dumoulin36122
2Kris RussellJohn Marino36122
3Dean KukanDysin Mayo24131
4John MarinoJeff Petry4122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Elias LindholmTroy Terry50104
2Michael BuntingJeff CarterAndrew Mangiapane50104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff PetryJohn Marino50113
2Kris RussellSonny Milano50113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Eric Robinson60140
2Paul StastnyAndrew Mangiapane40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brian DumoulinKris Russell55140
2Dysin MayoJeff Petry45140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Dysin MayoBrian Dumoulin50122
2Paul Stastny45122Jeff PetryKris Russell50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Elias Lindholm50122
2Jeff CarterAndrew Mangiapane50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff PetryBrian Dumoulin55122
2Dysin MayoJohn Marino45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andrew MangiapaneElias LindholmJeff PetryJohn Marino
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jeff CarterElias LindholmAndrew MangiapaneJeff PetryBrian Dumoulin
Extra Forwards
Normal PowerPlayPenalty Kill
Michael Bunting, Jason Spezza, Troy Terry, Andrew Mangiapane
Extra Defensemen
Normal PowerPlayPenalty Kill
John Marino, Jeff Petry, Brian DumoulinJohn MarinoKris Russell, Brian Dumoulin
Penalty Shots
Elias Lindholm, , Jeff Carter, Troy Terry, Andrew Mangiapane
Goalie
#1 : Sergei Bobrovsky, #2 : Mackenzie Blackwood


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
1Avalanche2010000149-51010000015-41000000134-110.2504610003010712229194632615358225.00%5180.00%0732136253.74%643119253.94%29856752.56%483351152512
2Blackhawks22000000624110000002111100000041341.000610160014106119231905917644500.00%30100.00%0732136253.74%643119253.94%29856752.56%473348142412
3Blues1010000013-2000000000001010000013-200.00012300010018511203410217300.00%10100.00%0732136253.74%643119253.94%29856752.56%2013267136
4Bruins21001000844110000005231000100032141.0008142200241165212020445512335120.00%50100.00%0732136253.74%643119253.94%29856752.56%533846142513
5Canadiens2110000056-12110000056-10000000000020.50059140021206524212005315293414214.29%4175.00%0732136253.74%643119253.94%29856752.56%533842132412
6Coyotes11000000725110000007250000000000021.000713200025006124231402774218337.50%20100.00%0732136253.74%643119253.94%29856752.56%2820197126
7Devils11000000321000000000001100000032121.000358001110265101102710821300.00%4175.00%0732136253.74%643119253.94%29856752.56%2113257136
8Flames11000000541110000005410000000000021.000571200203034131110042131025000.00%50100.00%0732136253.74%643119253.94%29856752.56%2417236115
9Flyers31101000734211000005231000100021140.667712190122211033340273772114521516.67%6183.33%0732136253.74%643119253.94%29856752.56%785569223518
10Golden Knights11000000321110000003210000000000021.000369001200369151202436173133.33%30100.00%0732136253.74%643119253.94%29856752.56%2518227126
11Hurricanes10000010431000000000001000001043121.000459002102331211862784155240.00%20100.00%0732136253.74%643119253.94%29856752.56%2719237147
12Islanders3120000079-21010000013-22110000066020.333710170022309632234107118207718211.11%9277.78%0732136253.74%643119253.94%29856752.56%745166233820
13Jets11000000422000000000001100000042221.000461000112034108160251210143133.33%50100.00%0732136253.74%643119253.94%29856752.56%2517227126
14Kings10000010211100000102110000000000021.0002130001034110151310205813500.00%3166.67%0732136253.74%643119253.94%29856752.56%2719247137
15Lightning2020000039-61010000015-41010000024-200.000358002010471720100591928337114.29%8362.50%0732136253.74%643119253.94%29856752.56%503546142211
16Panthers20200000513-81010000025-31010000038-500.0005813001310512219100691514456116.67%6183.33%0732136253.74%643119253.94%29856752.56%422952132410
17Penguins2010000137-41010000014-31000000123-110.2503690020107126172564571634800.00%80100.00%0732136253.74%643119253.94%29856752.56%543945152511
18Predators22000000725110000003121100000041341.000713200023206623212202978418225.00%40100.00%0732136253.74%643119253.94%29856752.56%533941142412
19Rangers211000007521010000024-21100000051420.50071219002230501821110611327416233.33%7185.71%0732136253.74%643119253.94%29856752.56%422953152311
20Red Wings22000000615220000006150000000000041.000611170113206213292003613163210330.00%80100.00%0732136253.74%643119253.94%29856752.56%523842132512
21Sabres21001000642210010006420000000000041.00061117002301722020275467143610330.00%7185.71%0732136253.74%643119253.94%29856752.56%493548152512
22Stars1010000036-31010000036-30000000000000.000358000030196310036121213600.00%50100.00%0732136253.74%643119253.94%29856752.56%2315238136
Total3717130302210699722119010106058215640201246415460.6221061772830233392981182384410367389752632836931562717.31%1101388.18%0732136253.74%643119253.94%29856752.56%924653866272460233
_Since Last GM Reset3717130302210699722119010106058215640201246415460.6221061772830233392981182384410367389752632836931562717.31%1101388.18%0732136253.74%643119253.94%29856752.56%924653866272460233
_Vs Conference24910030116466-21467010003436-210330201130300270.56364108172022122175741243251230246161512024531071816.82%741185.14%0732136253.74%643119253.94%29856752.56%601425562176297149
_Vs Division1245010113129251400000913-47310101122166130.5423150810111810337912612212315308778924055712.73%36586.11%0732136253.74%643119253.94%29856752.56%2992092839115075

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3746W2106177283118297526328369302
All Games
GPWLOTWOTL SOWSOLGFGA
371713302210699
Home Games
GPWLOTWOTL SOWSOLGFGA
2211910106058
Visitor Games
GPWLOTWOTL SOWSOLGFGA
156420124641
Last 10 Games
WLOTWOTL SOWSOL
333010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1562717.31%1101388.18%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
384410367383339298
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
732136253.74%643119253.94%29856752.56%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
924653866272460233


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 - 2021-11-133Blue Jackets4Hurricanes3AWXXBoxScore
3 - 2021-11-1527Lightning5Blue Jackets1BLBoxScore
4 - 2021-11-1635Blue Jackets1Blues3ALBoxScore
7 - 2021-11-1961Predators1Blue Jackets3BWBoxScore
9 - 2021-11-2174Penguins4Blue Jackets1BLBoxScore
10 - 2021-11-2281Blue Jackets5Rangers1AWBoxScore
12 - 2021-11-2496Coyotes2Blue Jackets7BWBoxScore
14 - 2021-11-26115Bruins2Blue Jackets5BWBoxScore
16 - 2021-11-28128Blue Jackets3Devils2AWBoxScore
18 - 2021-11-30151Blue Jackets3Avalanche4ALXXBoxScore
20 - 2021-12-02162Avalanche5Blue Jackets1BLBoxScore
22 - 2021-12-04181Canadiens1Blue Jackets3BWBoxScore
24 - 2021-12-06196Flyers0Blue Jackets4BWBoxScore
26 - 2021-12-08207Blue Jackets4Islanders5ALBoxScore
28 - 2021-12-10229Canadiens5Blue Jackets2BLBoxScore
29 - 2021-12-11237Flyers2Blue Jackets1BLBoxScore
32 - 2021-12-14264Red Wings1Blue Jackets4BWBoxScore
33 - 2021-12-15270Panthers5Blue Jackets2BLBoxScore
36 - 2021-12-18295Rangers4Blue Jackets2BLBoxScore
38 - 2021-12-20306Blue Jackets4Predators1AWBoxScore
39 - 2021-12-21315Golden Knights2Blue Jackets3BWBoxScore
41 - 2021-12-23331Islanders3Blue Jackets1BLBoxScore
43 - 2021-12-25351Blue Jackets4Jets2AWBoxScore
45 - 2021-12-27367Red Wings0Blue Jackets2BWBoxScore
47 - 2021-12-29380Blue Jackets2Penguins3ALXXBoxScore
48 - 2021-12-30389Sabres2Blue Jackets3BWBoxScore
50 - 2022-01-01404Flames4Blue Jackets5BWBoxScore
52 - 2022-01-03423Kings1Blue Jackets2BWXXBoxScore
54 - 2022-01-05438Blue Jackets3Panthers8ALBoxScore
56 - 2022-01-07456Blue Jackets2Lightning4ALBoxScore
58 - 2022-01-09466Blue Jackets3Bruins2AWXBoxScore
60 - 2022-01-11486Stars6Blue Jackets3BLBoxScore
61 - 2022-01-12492Blue Jackets2Flyers1AWXBoxScore
64 - 2022-01-15520Blue Jackets4Blackhawks1AWBoxScore
65 - 2022-01-16527Sabres2Blue Jackets3BWXBoxScore
67 - 2022-01-18538Blue Jackets2Islanders1AWBoxScore
69 - 2022-01-20556Blackhawks1Blue Jackets2BWBoxScore
72 - 2022-01-23579Blue Jackets-Senators-
74 - 2022-01-25597Capitals-Blue Jackets-
76 - 2022-01-27615Hurricanes-Blue Jackets-
77 - 2022-01-28620Blue Jackets-Capitals-
79 - 2022-01-30638Blue Jackets-Lightning-
81 - 2022-02-01656Hurricanes-Blue Jackets-
83 - 2022-02-03670Blue Jackets-Red Wings-
85 - 2022-02-05688Rangers-Blue Jackets-
88 - 2022-02-08714Ducks-Blue Jackets-
89 - 2022-02-09724Sharks-Blue Jackets-
91 - 2022-02-11740Blue Jackets-Flames-
93 - 2022-02-13755Blue Jackets-Oilers-
95 - 2022-02-15774Blue Jackets-Canucks-
96 - 2022-02-16783Blue Jackets-Kraken-
98 - 2022-02-18796Capitals-Blue Jackets-
102 - 2022-02-22826Maple Leafs-Blue Jackets-
103 - 2022-02-23836Blue Jackets-Maple Leafs-
106 - 2022-02-26860Devils-Blue Jackets-
108 - 2022-02-28875Jets-Blue Jackets-
110 - 2022-03-02893Blue Jackets-Stars-
111 - 2022-03-03906Blue Jackets-Coyotes-
115 - 2022-03-07933Wild-Blue Jackets-
117 - 2022-03-09947Oilers-Blue Jackets-
118 - 2022-03-10957Blue Jackets-Wild-
120 - 2022-03-12969Blue Jackets-Sabres-
Trade Deadline --- Trades can’t be done after this day is simulated!
123 - 2022-03-15996Kraken-Blue Jackets-
124 - 2022-03-161003Blue Jackets-Senators-
127 - 2022-03-191029Blue Jackets-Penguins-
130 - 2022-03-221055Blues-Blue Jackets-
131 - 2022-03-231064Canucks-Blue Jackets-
133 - 2022-03-251085Blue Jackets-Sharks-
135 - 2022-03-271101Blue Jackets-Kings-
136 - 2022-03-281107Blue Jackets-Ducks-
138 - 2022-03-301126Blue Jackets-Golden Knights-
140 - 2022-04-011136Blue Jackets-Capitals-
142 - 2022-04-031154Islanders-Blue Jackets-
143 - 2022-04-041163Blue Jackets-Canadiens-
146 - 2022-04-071185Blue Jackets-Rangers-
148 - 2022-04-091200Blue Jackets-Bruins-
150 - 2022-04-111221Panthers-Blue Jackets-
152 - 2022-04-131238Senators-Blue Jackets-
153 - 2022-04-141246Blue Jackets-Maple Leafs-
155 - 2022-04-161259Blue Jackets-Devils-
158 - 2022-04-191285Blue Jackets-Flyers-
160 - 2022-04-211304Penguins-Blue Jackets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity80004000500020001000
Ticket Price100604030202
Attendance174,33886,769109,45143,92621,798
Attendance PCT99.06%98.60%99.50%99.83%99.08%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
19 19831 - 99.16% 1,493,463$32,856,190$20000119

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
30,587,450$ 71,800,000$ 71,800,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
441,250$ 30,223,125$ 0$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
28,375,800$ 91 448,812$ 40,841,892$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
41,860,000$ 27,634,243$ 14,150,043$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
70,376,875$ -376,875$ 70,000,000$ 30,376,875$



Depth Chart

Left WingCenterRight Wing
Tage ThompsonAGE:24PO:0OV:71
Max PaciorettyAGE:33PO:0OV:71
Andrew MangiapaneAGE:26PO:0OV:70
Michael Bunting (R)AGE:27PO:0OV:69
Eric RobinsonAGE:27PO:0OV:66
Sonny MilanoAGE:26PO:0OV:65
Michael AmadioAGE:26PO:0OV:63
Peyton Krebs (R)AGE:21PO:0OV:62
Connor McMichael (R)AGE:21PO:0OV:62
Matias Maccelli (R)AGE:21PO:0OV:60
Tim Gettinger (R)AGE:24PO:0OV:58
Brandon GignacAGE:24PO:0OV:54
Hugh McGingAGE:24PO:0OV:54
Alexander VolkovAGE:25PO:0OV:54
Elias LindholmAGE:27PO:0OV:74
Jeff CarterAGE:37PO:0OV:72
Paul StastnyAGE:36PO:0OV:71
Tage ThompsonAGE:24PO:0OV:71
Andrew MangiapaneAGE:26PO:0OV:70
Troy TerryAGE:25PO:0OV:69
Jason SpezzaAGE:39PO:0OV:68
Radek FaksaAGE:28PO:0OV:65
Michael AmadioAGE:26PO:0OV:63
Colin WhiteAGE:25PO:0OV:62
Peyton Krebs (R)AGE:21PO:0OV:62
Connor McMichael (R)AGE:21PO:0OV:62
Jansen HarkinsAGE:25PO:0OV:61
Brandon GignacAGE:24PO:0OV:54
Josh DunneAGE:23PO:0OV:54
Hugh McGingAGE:24PO:0OV:54
Jeff CarterAGE:37PO:0OV:72
Tage ThompsonAGE:24PO:0OV:71
Andrew MangiapaneAGE:26PO:0OV:70
Michael Bunting (R)AGE:27PO:0OV:69
Troy TerryAGE:25PO:0OV:69
Jason SpezzaAGE:39PO:0OV:68
Sonny MilanoAGE:26PO:0OV:65
Michael AmadioAGE:26PO:0OV:63
Colin WhiteAGE:25PO:0OV:62
Brett RitchieAGE:29PO:0OV:60
Kole Sherwood (R)AGE:25PO:0OV:57
Wade Allison (R)AGE:24PO:0OV:57
Alexander VolkovAGE:25PO:0OV:54
Justin SourdifAGE:20PO:0OV:45

Defense #1Defense #2Goalie
Jeff PetryAGE:34PO:0OV:70
Ryan McDonaghAGE:33PO:0OV:69
Brian DumoulinAGE:31PO:0OV:68
John MarinoAGE:25PO:0OV:67
Kris RussellAGE:35PO:0OV:66
Dysin Mayo (R)AGE:26PO:0OV:66
Dean KukanAGE:29PO:0OV:64
Ethan BearAGE:25PO:0OV:64
Josh MahuraAGE:24PO:0OV:63
Nick BlankenburgAGE:24PO:0OV:62
Marcus Bjork (R)AGE:24PO:0OV:60
Brendan GuhleAGE:25PO:0OV:60
Jake Christiansen (R)AGE:23PO:0OV:60
Chris BigrasAGE:27PO:0OV:55
Eddie WittchowAGE:29PO:0OV:55
Hunter SkinnerAGE:21PO:0OV:55
Sergei BobrovskyAGE:34PO:0OV:71
Mackenzie BlackwoodAGE:25PO:0OV:63
Anton KhudobinAGE:36PO:0OV:58
Michael HutchinsonAGE:32PO:0OV:57
Garrett Metcalf (R)AGE:26PO:0OV:50
Ian Scott (R)AGE:23PO:0OV:48

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
Anthony SalinitriBlue Jackets
Brett HarrisonBlue Jackets
Christian KyrouBlue Jackets
Cole CandellaBlue Jackets
Ethan Del MastroBlue Jackets
Ethan KeppenBlue Jackets
Filip CederqvistBlue Jackets
Filip MesarBlue Jackets
Frederic BrunetBlue Jackets
Henrik RybinskiBlue Jackets
Ivan ChukarovBlue Jackets
Jake KarabelaBlue Jackets
Jens LookeBlue Jackets
John DahlstromBlue Jackets
Josh FilmonBlue Jackets
Judd CaulfieldBlue Jackets
Julius NattinenBlue Jackets
Kaedan KorczakBlue Jackets
Kirill MaksimovBlue Jackets
Lukas JasekBlue Jackets
Mackie SamoskevichBlue Jackets
Mats LindgrenBlue Jackets
Matteo CostantiniBlue Jackets
Matthew RobertsonBlue Jackets
Matvey PetrovBlue Jackets
Mikhail AbramovBlue Jackets
Nicolas MattinenBlue Jackets
Otto SomppiBlue Jackets
Owen LindmarkBlue Jackets
Parker FooBlue Jackets
Patrick HarperBlue Jackets
Remi PoirierBlue Jackets
Riley StottsBlue Jackets
Ryan FrancisBlue Jackets
Ryan McClearyBlue Jackets
Ryan TverbergBlue Jackets
Sam ColangeloBlue Jackets
Samu TuomaalaBlue Jackets
Seth BartonBlue Jackets
Stiven SardarianBlue Jackets
Troy JosephsBlue Jackets
Tyler TullioBlue Jackets
Tyson HindsBlue Jackets
Viktor PerssonBlue Jackets

Draft Picks

Year R1R2R3R4R5R6R7
23
24
25
26
27




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




Blue Jackets Trade History

[27.02.2023 21:40:57] - TRADE : From Golden Knights to Blue Jackets : Jason Spezza (68).
[10.02.2023 23:04:35] - TRADE : From Maple Leafs to Blue Jackets : Ian Scott (48).
[10.12.2022 21:08:00] - Hugh McGing was added to Blue Jackets.
[10.12.2022 21:07:48] - Justin Sourdif was added to Blue Jackets.
[10.12.2022 21:06:03] - Marcus Bjork was added to Blue Jackets.
[10.12.2022 21:04:04] - Marcus Bjork has been added to Blue Jackets.
[07.12.2022 21:03:22] - Jeff Petry has been selected as assistant for Blue Jackets.
[07.12.2022 21:03:22] - Unknown Player is no longer as assistant for Blue Jackets.
[04.12.2022 20:31:57] - Blue Jackets hired Brad Larsen for 10 000 Kč for 1 year(s).
[26.11.2022 13:59:08] - TRADE : From Blue Jackets to Hurricanes : Kevin Czuczman (56).
[24.11.2022 22:32:17] - Ryan Suter was added to Blue Jackets.
[18.11.2022 23:45:07] - Ryan Suter was released.
[18.11.2022 23:45:07] - Blue Jackets paid 1 960 000 Kč to release Ryan Suter.
[18.11.2022 2:26:39] - Nick Baptiste was released.
[18.11.2022 2:26:39] - Blue Jackets paid 0 Kč to release Nick Baptiste.
[18.11.2022 2:24:20] - TRADE : From Bruins to Blue Jackets : Y:23-RND:4-DAL, Y:26-RND:6-BOS.
[18.11.2022 2:24:20] - TRADE : From Blue Jackets to Bruins : Jon Merrill (67).
[18.11.2022 2:23:50] - TRADE : From Predators to Blue Jackets : Jon Merrill (67).
[18.11.2022 2:23:50] - TRADE : From Blue Jackets to Predators : 750 000 Kč (Money), Y:22-RND:5-CBJ.
[18.11.2022 2:23:01] - TRADE : From Blue Jackets to Wild : Mike Hoffman (67), Y:23-RND:3-CBJ.
[18.11.2022 2:20:08] - TRADE : From Blue Jackets to Penguins : Jakob Silfverberg (66).
[18.11.2022 1:55:00] - Michael Hutchinson signed with Blue Jackets for 1 200 000 Kč for 2 year(s).
[18.11.2022 1:55:00] - Michael Hutchinson was added to Blue Jackets.
[18.11.2022 1:54:50] - Anton Khudobin signed with Blue Jackets for 1 200 000 Kč for 2 year(s).
[18.11.2022 1:54:50] - Anton Khudobin was added to Blue Jackets.
[18.11.2022 1:54:40] - Kris Russell signed with Blue Jackets for 2 200 000 Kč for 3 year(s).
[18.11.2022 1:54:40] - Kris Russell was added to Blue Jackets.
[18.11.2022 1:54:30] - Brian Dumoulin signed with Blue Jackets for 3 200 000 Kč for 3 year(s).
[18.11.2022 1:54:30] - Brian Dumoulin was added to Blue Jackets.
[18.11.2022 1:54:21] - Ryan McDonagh signed with Blue Jackets for 4 200 000 Kč for 3 year(s).
[18.11.2022 1:54:21] - Ryan McDonagh was added to Blue Jackets.
[09.11.2022 15:18:10] - Frederic Brunet has been added to Blue Jackets.
[09.11.2022 15:18:10] - Josh Filmon has been added to Blue Jackets.
[09.11.2022 15:18:10] - Jake Karabela has been added to Blue Jackets.



[13.03.2023 9:51:00] Both Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[13.03.2023 9:50:55] Game 556 - Radek Faksa from Blue Jackets is injured (Left Forearm) and is out for 3 weeks.
[13.03.2023 9:50:55] Game 556 - Max Pacioretty from Blue Jackets is injured (Facial Surgery) and is out for 2 months.
[12.03.2023 23:13:57] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[12.03.2023 23:08:41] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[11.03.2023 21:50:17] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[11.03.2023 21:47:45] Both Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11.03.2023 21:47:34] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[10.03.2023 22:31:01] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[09.03.2023 23:20:10] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[09.03.2023 23:17:43] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[09.03.2023 23:17:29] Blue Jackets are expected to be over the salary cap by 376 875 Kč!
[09.03.2023 23:11:33] Both Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[09.03.2023 23:11:27] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[09.03.2023 23:11:27] Dean Kukan of Blue Jackets was sent to pro.
[09.03.2023 23:11:27] Marcus Bjork of Blue Jackets was sent down to farm.
[08.03.2023 22:34:37] Both Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[08.03.2023 1:10:39] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[08.03.2023 1:10:39] Kole Sherwood of Blue Jackets was sent down to farm.
[06.03.2023 22:02:47] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[06.03.2023 21:46:33] Paul Stastny from Blue Jackets is back from Broken Bone (Left Arm) Injury.
[06.03.2023 0:42:08] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[06.03.2023 0:35:14] Dean Kukan of Blue Jackets was sent to farm.
[06.03.2023 0:35:14] Kole Sherwood of Blue Jackets was sent to pro.
[06.03.2023 0:33:56] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[06.03.2023 0:33:56] Dean Kukan of Blue Jackets was sent to pro.
[06.03.2023 0:33:56] Kole Sherwood of Blue Jackets was sent down to farm.
[04.03.2023 23:17:32] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[04.03.2023 23:07:49] Dean Kukan of Blue Jackets was sent to farm.
[04.03.2023 23:07:49] Kole Sherwood of Blue Jackets was sent to pro.
[04.03.2023 23:06:32] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[04.03.2023 23:06:32] Dean Kukan of Blue Jackets was sent to pro.
[04.03.2023 23:06:32] Kole Sherwood of Blue Jackets was sent down to farm.
[03.03.2023 22:53:47] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[02.03.2023 21:59:28] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[02.03.2023 21:49:04] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[02.03.2023 21:47:04] Dean Kukan of Blue Jackets was sent to farm.
[02.03.2023 21:47:04] Kole Sherwood of Blue Jackets was sent to pro.
[02.03.2023 21:44:45] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[02.03.2023 21:44:45] Dean Kukan of Blue Jackets was sent to pro.
[02.03.2023 21:44:45] Kole Sherwood of Blue Jackets was sent down to farm.
[01.03.2023 21:20:24] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[01.03.2023 21:17:44] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[28.02.2023 22:19:09] Blue Jackets are expected to be over the salary cap by 385 625 Kč!
[28.02.2023 22:15:26] Michael Amadio of Blue Jackets was sent to farm.
[28.02.2023 22:15:26] Dean Kukan of Blue Jackets was sent to farm.
[28.02.2023 22:15:26] Marcus Bjork of Blue Jackets was sent to pro.
[28.02.2023 22:15:26] Kole Sherwood of Blue Jackets was sent to pro.
[28.02.2023 22:13:10] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.5.5
[28.02.2023 22:13:10] Michael Amadio of Blue Jackets was sent to pro.



Radek Faksa is out for 3 weeks because of a Left Forearm Injury.
Tage Thompson is out for 3 days because of a Left Wrist Injury.
Max Pacioretty is out for 1 month because of a Facial Surgery Injury.
Ryan McDonagh is out for 1 month because of a Broken Right Foot Toe 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

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

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

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

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