´╗┐

Blue Jackets
GP: 12 | W: 6 | L: 6
GF: 30 | GA: 24 | PP%: 8.82% | PK%: 92.59%
GM : Jean Levergneaux | Morale : 50 | Team Overall : 83
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Blue Jackets
6-6-0, 12pts
1
FINAL
2 Hurricanes
8-3-0, 16pts
Team Stats
L2StreakW3
3-3-0Home Record5-1-0
3-3-0Away Record3-2-0
5-3-2Last 10 Games7-2-1
2.50Goals Per Game2.91
2.00Goals Against Per Game2.27
8.82%Power Play Percentage13.79%
92.59%Penalty Kill Percentage94.44%
Hurricanes
8-3-0, 16pts
2
FINAL
1 Blue Jackets
6-6-0, 12pts
Team Stats
W3StreakL2
5-1-0Home Record3-3-0
3-2-0Away Record3-3-0
7-2-1Last 10 Games5-3-2
2.91Goals Per Game2.50
2.27Goals Against Per Game2.00
13.79%Power Play Percentage8.82%
94.44%Penalty Kill Percentage92.59%
Sam ReinhartGoals
Sam Reinhart
10
Tage ThompsonAssists
Tage Thompson
12
Sam ReinhartPoints
Sam Reinhart
19
Sam ReinhartPlus/Minus
Sam Reinhart
15
Linus UllmarkWins
Linus Ullmark
6
Linus UllmarkSave Percentage
Linus Ullmark
0.934

Team Stats

30
2.50 GFG
Shots For
405
33.75 Avg

8.8%
3 GF

41.0%
Goals Against
24
2.00 GAA
Shots Against
361
30.08 Avg

92.6%
2 GA

37.2%


General ManagerJean Levergneaux
Peter Laviolette
Metropolitan
Eastern
Sam Reinhart




Nationwide Arena
Arena Capacity18,000
Attendance18,000
18,000




21
24
45 / 55
Prospects23


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap Space82,500,000$
Special Salary Cap Value1,680,000$
Players In Salary Cap21


Finance

Year to Date Revenue17,781,660$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Funds60,375,761$
Projected Funds60,375,761$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
1Mika Zibanejad0X100.006951978189869981838379718080800508803048,075,000$
2Sam Reinhart (A)0X100.006851977793839981527980748080800508802735,876,000$
3Tage Thompson0X100.006952948290809480688182698181810508802511,442,000$
4Jared McCann0XX100.007051968087719573467678747575750508402755,250,000$
5Lawson Crouse0XX100.007852937485779368427376747272720508302654,472,000$
6Jordan Eberle0X100.006952957485749971417775737373730508203325,500,000$
7Blake Coleman0XX100.007453917689669967417175747171710508103125,096,000$
8Jordan Martinook0XX100.007254927385619965427072736868680507903021,818,000$
9Craig Smith0XX100.007252957184537762456972716767670507603323,100,000$
10Nils Aman (R)0X100.00695296698555825859697076646464050760231883,750$
11Ridly Greig (R)0XX100.00765492708756556556737255696969050760203925,000$
12Jared Spurgeon0X100.006851977181809575407471917373730508603337,575,000$
13Filip Hronek0X100.007052957581817772407670777171710508402534,180,000$
14Mattias Ekholm0X100.007052947281829472407270827171710508403326,500,000$
15Ryan Graves0X100.007052957180759471407170897070700508402833,610,000$
16Esa Lindell0X100.007051977081769969407069876969690508302925,800,000$
17Luke Schenn2X100.00875487708162846540706980676767050820333790,500$
18Alexandre Carrier0X100.00715392748170556740706974686868050800261925,000$
Scratches
1Josh Archibald (R)0XX100.00915493788343755940677076656565050780301750,000$
1Sam Gagner0XX100.00675295708355586249697261676767050740331775,000$
2Marian Studenic (R)0XX100.00563978676858456136706875652540050720243780,000$
3Nicholas Abruzzese (R)0XX100.00526584565581944336616442542540050630241750,000$
4Rhett Gardner0XX100.00546380545478904065596445522540050620271787,500$
5Adam Brooks0X100.005357825555637342656164455325400506102711,237,500$
6Marc Johnstone0X100.00536582535381943936576441512540050610271750,000$
7Shane Gersich0X100.00526683535383973936586441522540050610261750,000$
8Cole Reinhardt (R)0X100.00546580545482954036586441522540050610232925,000$
9Fredrik Karlstrom0X100.00526384535476884065586441522540050600252806,000$
10Nathan Legare (R)0X100.00546480525380933836576435512540050600222789,167$
11Nikita Pavlychev (R)0X100.00533782525758453865576443512540050580261780,000$
12Calle Rosen0X100.00675197698056596540717065686868050760293876,875$
13Christian Wolanin0X100.00665196708058556540696855666666050740282889,875$
14Filip Roos (R)0X100.00695196728160556240676955656565050740241925,000$
15William Lagesson0X100.00603671666458455736726673622540050730271971,250$
16Nikita Okhotiuk (R)0X100.00875197667943556040656955646464050730222925,000$
17Victor Mete (R)0X100.00675296698050556040686855646464050720252962,000$
18Matthew Robertson (R)0X100.00536383525376883836586338512540050590222797,500$
19Santtu Kinnunen (R)0X100.00526583545481944136606441522540050620241855,000$
20Dillon Heatherington0X100.00545380535358613936586343512540050590282861,625$
21Simon Johansson (R)0X100.00526283525275873736576337502540050590241855,000$
TEAM AVERAGE100.0065549066736980584568696264535905073
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary Average
1Linus Ullmark100.00927685899188909096809341730509302912,738,000$
2Mackenzie Blackwood100.00846553757973767982678036650507902633,060,000$
Scratches
1Louis Domingue100.0074817977777772777975762555050790311775,000$
2Joey Daccord (R)100.0073655370797271787853782652050750262925,000$
3Jake Kupsky100.0071655361716069556072642555050650271750,000$
TEAM AVERAGE100.007970657479747676796978316005078
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter Laviolette84879082857962USA5820$


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
1Sam ReinhartBlue JacketsRW1210919152061248203220.83%520617.20011532000002017.2012310011.8400000400
2Tage ThompsonBlue JacketsC12712191500251544112115.91%223519.631125320001240019.63213163011.6100000122
3Jared McCannBlue JacketsLW/RW1241014140010103172412.90%620817.39112532000020017.3910105001.3400000012
4Jared SpurgeonBlue JacketsD12235200152117111111.76%1928123.4200023300000100.00%0715000.3600000110
5Lawson CrouseBlue JacketsLW/RW12134-5202810126138.33%220417.05011431000000017.05892000.3900000010
6Ryan GravesBlue JacketsD1213450063026563.85%1722618.8800000000024100.00%0410000.3500000000
7Esa LindellBlue JacketsD1212302062218735.56%2120517.1200011000130000.00%0313000.2900000000
8Mattias EkholmBlue JacketsD12123160122321454.76%1730225.24000533000016100.00%038000.2000000010
9Mika ZibanejadBlue JacketsC12123-52017142810213.57%323319.450114310000230019.45167171000.2600000010
10Jordan EberleBlue JacketsRW12112-580168285193.57%320517.15101631000000017.154133000.1900000000
11Nils AmanBlue JacketsC12022-3201117223140.00%713711.4400000000000011.4410764000.2900000000
12Alexandre CarrierBlue JacketsD12011-440159228170.00%418315.28000228000060015.28781000.1100000000
13Blake ColemanBlue JacketsLW/RW12101-26014122012175.00%516513.81000000001241013.816115000.1200000000
14Filip HronekBlue JacketsD120113201314178110.00%823219.3600023000000000.00%049000.0900000000
15Jordan MartinookBlue JacketsLW/RW12011-220127127170.00%416413.72000000002230013.72486000.1200000000
16Ridly GreigBlue JacketsC/LW12011-240185173170.00%013511.3300000000000011.338991000.1500000000
17Craig SmithBlue JacketsC/RW12000-30091015390.00%413911.6200000000010011.62761000.00%00000000
18Luke SchennBlue JacketsD12000012021157040.00%1119716.4900000000222000.00%0312000.00%00000000
Team Total or Average216305383245402542544051302617.41%138366716.983584131900072006050.63%63416899020.4500000674
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
1Linus UllmarkBlue Jackets126420.9341.947420024361193000.00%0120000
Team Total or Average126420.9341.947420024361193000.0000120000


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 Clause Trade Block 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
Alexandre CarrierBlue JacketsD261996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm925,000$33,036$925,000$33,036$925,000$33,036$NoLink / NHL Link
Blake Coleman (1 Way Contract)Blue JacketsLW/RW311991-11-28No199 Lbs5 ft11NoNoNo2Pro & Farm5,096,000$182,000$5,096,000$182,000$5,096,000$182,000$No5,096,000$Link / NHL Link
Craig Smith (1 Way Contract)Blue JacketsC/RW331989-09-05No196 Lbs6 ft0NoNoNo2Pro & Farm3,100,000$110,714$3,100,000$110,714$3,100,000$110,714$No3,100,000$Link / NHL Link
Esa Lindell (1 Way Contract)Blue JacketsD291994-05-23No220 Lbs6 ft3NoNoNo2Pro & Farm5,800,000$207,143$5,800,000$207,143$5,800,000$207,143$No5,800,000$Link / NHL Link
Filip Hronek (1 Way Contract)Blue JacketsD251997-11-02No190 Lbs6 ft0NoNoNo3Pro & Farm4,180,000$149,286$4,180,000$149,286$4,180,000$149,286$No4,180,000$4,180,000$Link / NHL Link
Jared McCann (1 Way Contract)Blue JacketsLW/RW271996-05-31No191 Lbs6 ft1NoNoNo5Pro & Farm5,250,000$187,500$5,250,000$187,500$5,250,000$187,500$No5,250,000$5,250,000$5,250,000$5,250,000$Link / NHL Link
Jared Spurgeon (1 Way Contract)Blue JacketsD331989-11-29No166 Lbs5 ft9NoNoNo3Pro & Farm7,575,000$270,536$7,575,000$270,536$7,575,000$270,536$No7,575,000$7,575,000$Link / NHL Link
Jordan Eberle (1 Way Contract)Blue JacketsRW331990-05-15No190 Lbs5 ft11NoNoNo2Pro & Farm5,500,000$196,429$5,500,000$196,429$5,500,000$196,429$No5,500,000$Link / NHL Link
Jordan Martinook (1 Way Contract)Blue JacketsLW/RW301992-07-25No196 Lbs6 ft0NoNoNo2Pro & Farm1,818,000$64,929$1,818,000$64,929$1,818,000$64,929$No1,818,000$Link / NHL Link
Josh ArchibaldBlue JacketsLW/RW301992-10-06Yes176 Lbs5 ft10NoNoNo1Pro & Farm750,000$26,786$750,000$26,786$750,000$26,786$NoLink / NHL Link
Lawson Crouse (1 Way Contract)Blue JacketsLW/RW261997-06-23No215 Lbs6 ft4NoNoNo5Pro & Farm4,472,000$159,714$4,472,000$159,714$4,472,000$159,714$No4,472,000$4,472,000$4,472,000$4,472,000$Link / NHL Link
Linus Ullmark (1 Way Contract)Blue JacketsG291993-07-31No212 Lbs6 ft5NoNoNo1Pro & Farm2,738,000$97,786$2,738,000$97,786$2,738,000$97,786$NoLink / NHL Link
Luke SchennBlue JacketsD331989-11-02No225 Lbs6 ft2NoNoNo3Pro & Farm790,500$28,232$790,500$28,232$790,500$28,232$No790,500$790,500$Link / NHL Link
Mackenzie Blackwood (1 Way Contract)Blue JacketsG261996-12-09No215 Lbs6 ft4NoNoNo3Pro & Farm3,060,000$109,286$3,060,000$109,286$3,060,000$109,286$No3,060,000$3,060,000$Link / NHL Link
Mattias Ekholm (1 Way Contract)Blue JacketsD331990-05-24No215 Lbs6 ft4NoNoNo2Pro & Farm6,500,000$232,143$6,500,000$232,143$6,500,000$232,143$No6,500,000$Link / NHL Link
Mika Zibanejad (1 Way Contract)Blue JacketsC301993-04-18No202 Lbs6 ft2NoNoNo4Pro & Farm8,075,000$288,393$8,075,000$288,393$8,075,000$288,393$No8,075,000$8,075,000$8,075,000$Link / NHL Link
Nils AmanBlue JacketsC232000-02-07Yes179 Lbs6 ft2NoNoNo1Pro & Farm883,750$31,562$883,750$31,562$883,750$31,562$NoLink / NHL Link
Ridly GreigBlue JacketsC/LW202002-08-08Yes180 Lbs6 ft0NoNoNo3Pro & Farm925,000$33,036$925,000$33,036$925,000$33,036$No925,000$925,000$Link / NHL Link
Ryan Graves (1 Way Contract)Blue JacketsD281995-05-21No220 Lbs6 ft5NoNoNo3Pro & Farm3,610,000$128,929$3,610,000$128,929$3,610,000$128,929$No3,610,000$3,610,000$Link / NHL Link
Sam Reinhart (1 Way Contract)Blue JacketsRW271995-11-06No193 Lbs6 ft2NoNoNo3Pro & Farm5,876,000$209,857$5,876,000$209,857$5,876,000$209,857$No5,876,000$5,876,000$Link / NHL Link
Tage ThompsonBlue JacketsC251997-10-30No220 Lbs6 ft6NoNoNo1Pro & Farm1,442,000$51,500$1,442,000$51,500$1,442,000$51,500$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.43199 Lbs6 ft22.483,731,726$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
78,366,250$71,627,500$43,813,500$17,797,000$9,722,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jared McCannTage ThompsonSam Reinhart30014
2Lawson CrouseMika ZibanejadJordan Eberle30113
3Blake ColemanRidly GreigJordan Martinook20122
4Craig SmithNils AmanAlexandre Carrier20131
5 vs 5 Defence
Line #DefenceDefenceTime %PHYDFOF
1Mattias EkholmJared Spurgeon30023
2Ryan GravesFilip Hronek30122
3Esa LindellLuke Schenn20140
4Mattias EkholmJared Spurgeon20113
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jared McCannTage ThompsonSam Reinhart50005
2Lawson CrouseMika ZibanejadJordan Eberle50005
Power Play Defence
Line #DefenceDefenceTime %PHYDFOF
1Mattias EkholmJared Spurgeon50014
2Alexandre CarrierFilip Hronek50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tage ThompsonJordan Martinook50050
2Mika ZibanejadBlake Coleman50050
Penalty Kill 4 Players Defence
Line #DefenceDefenceTime %PHYDFOF
1Mattias EkholmRyan Graves50230
2Esa LindellLuke Schenn50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenceDefenceTime %PHYDFOF
1Jordan Martinook50050Mattias EkholmJared Spurgeon50050
2Blake Coleman50050Ryan GravesLuke Schenn50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tage ThompsonSam Reinhart50014
2Mika ZibanejadJared McCann50014
4 vs 4 Defence
Line #DefenceDefenceTime %PHYDFOF
1Mattias EkholmJared Spurgeon50023
2Ryan GravesFilip Hronek50113
Last Minute Offensive
Left WingCenterRight WingDefenceDefence
Jared McCannTage ThompsonSam ReinhartMattias EkholmJared Spurgeon
Last Minute Defensive
Left WingCenterRight WingDefenceDefence
Blake ColemanMika ZibanejadJordan MartinookRyan GravesLuke Schenn
Extra Forwards
Normal PowerPlayPenalty Kill
Mika Zibanejad, Tage Thompson, Sam ReinhartMika Zibanejad, Sam ReinhartBlake Coleman
Extra Defencemen
Normal PowerPlayPenalty Kill
Jared Spurgeon, Mattias Ekholm, Filip HronekJared SpurgeonRyan Graves, Mattias Ekholm
Penalty Shots
Mika Zibanejad, Tage Thompson, Sam Reinhart, Jared McCann, Jared Spurgeon
Goalie
#1 : Linus Ullmark, #2 : Mackenzie Blackwood
Custom OT Lines Forwards
Tage Thompson, Sam Reinhart, Mika Zibanejad, Jared McCann, Lawson Crouse, Jordan Eberle, Jordan Eberle, Blake Coleman, Jordan Martinook, Craig Smith, Nils Aman
Custom OT Lines Defencemen
Jared Spurgeon, Mattias Ekholm, Ryan Graves, Filip Hronek, Esa Lindell


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
1Hurricanes624000001011-1312000005503120000056-140.3331016260033311945549791118983301272114.76%150100.00%013826053.08%11423648.31%6913850.00%13786151509548
2Islanders64200000201373210000095432100000118380.6672037570077602117278610172552412713215.38%12283.33%013826053.08%11423648.31%6913850.00%13890128499344
Total1266000003024663300000141046330000016142120.5003053830010109140512712714011361138542543438.82%27292.59%013826053.08%11423648.31%6913850.00%27617727910018893
_Since Last GM Reset1266000003024663300000141046330000016142120.5003053830010109140512712714011361138542543438.82%27292.59%013826053.08%11423648.31%6913850.00%27617727910018893
_Vs Conference1266000003024663300000141046330000016142120.5003053830010109140512712714011361138542543438.82%27292.59%013826053.08%11423648.31%6913850.00%27617727910018893
_Vs Division1266000003024663300000141046330000016142120.5003053830010109140512712714011361138542543438.82%27292.59%013826053.08%11423648.31%6913850.00%27617727910018893

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1212L23053834053611385425400
All Games
GPWLOTWOTL SOWSOLGFGA
126600003024
Home Games
GPWLOTWOTL SOWSOLGFGA
63300001410
Visitor Games
GPWLOTWOTL SOWSOLGFGA
63300001614
Last 10 Games
WLOTWOTL SOWSOL
530200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3438.82%27292.59%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
12712714011101091
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13826053.08%11423648.31%6913850.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
27617727910018893


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 Visiting Team Score Home Team Score ST OT SO RI Link
1 - 2024-04-183Blue Jackets2Islanders4ALBoxScore
3 - 2024-04-2011Blue Jackets3Islanders2AWBoxScore
5 - 2024-04-2219Islanders2Blue Jackets1BLBoxScore
7 - 2024-04-2427Islanders1Blue Jackets5BWBoxScore
9 - 2024-04-2635Blue Jackets6Islanders2AWBoxScore
11 - 2024-04-2843Islanders2Blue Jackets3BWBoxScore
15 - 2024-05-0258Blue Jackets1Hurricanes2ALXBoxScore
17 - 2024-05-0462Blue Jackets3Hurricanes2AWXBoxScore
19 - 2024-05-0666Hurricanes1Blue Jackets3BWBoxScore
21 - 2024-05-0870Hurricanes2Blue Jackets1BLXBoxScore
23 - 2024-05-1074Blue Jackets1Hurricanes2ALBoxScore
25 - 2024-05-1278Hurricanes2Blue Jackets1BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity20004000500060001000
Ticket Price1951409049295
Attendance12,00024,00030,00036,0006,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
35 18000 - 100.00% 2,963,610$17,781,660$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 78,366,250$ 78,366,250$ 0$ 1,680,000$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Funds Projected Funds
0$ 60,375,761$ 60,375,761$
Estimated Season Salary CapAvailable Salary Cap SpaceMaximum Salary CapOver Minimum Salary Cap
0$ 82,500,000$ 82,500,000$ -62,500,000$



Depth Chart

Left WingCenterRight Wing
Jared McCannAGE:27PO:0OV:84
Lawson CrouseAGE:26PO:0OV:83
Blake ColemanAGE:31PO:0OV:81
Jordan MartinookAGE:30PO:0OV:79
Josh Archibald (R)AGE:30PO:0OV:78
Ridly Greig (R)AGE:20PO:0OV:76
Marian Studenic (R)AGE:24PO:0OV:72
Nicholas Abruzzese (R)AGE:24PO:0OV:63
Rhett GardnerAGE:27PO:0OV:62
Shane GersichAGE:26PO:0OV:61
Cole Reinhardt (R)AGE:23PO:0OV:61
Mika ZibanejadAGE:30PO:0OV:88
Tage ThompsonAGE:25PO:0OV:88
Craig SmithAGE:33PO:0OV:76
Nils Aman (R)AGE:23PO:0OV:76
Ridly Greig (R)AGE:20PO:0OV:76
Sam GagnerAGE:33PO:0OV:74
Rhett GardnerAGE:27PO:0OV:62
Adam BrooksAGE:27PO:0OV:61
Fredrik KarlstromAGE:25PO:0OV:60
Nikita Pavlychev (R)AGE:26PO:0OV:58
Sam ReinhartAGE:27PO:0OV:88
Jared McCannAGE:27PO:0OV:84
Lawson CrouseAGE:26PO:0OV:83
Jordan EberleAGE:33PO:0OV:82
Blake ColemanAGE:31PO:0OV:81
Jordan MartinookAGE:30PO:0OV:79
Josh Archibald (R)AGE:30PO:0OV:78
Craig SmithAGE:33PO:0OV:76
Sam GagnerAGE:33PO:0OV:74
Marian Studenic (R)AGE:24PO:0OV:72
Nicholas Abruzzese (R)AGE:24PO:0OV:63
Marc JohnstoneAGE:27PO:0OV:61
Nathan Legare (R)AGE:22PO:0OV:60

Defence #1Defence #2Goalie
Jared SpurgeonAGE:33PO:0OV:86
Filip HronekAGE:25PO:0OV:84
Mattias EkholmAGE:33PO:0OV:84
Ryan GravesAGE:28PO:0OV:84
Esa LindellAGE:29PO:0OV:83
Luke SchennAGE:33PO:0OV:82
Alexandre CarrierAGE:26PO:0OV:80
Calle RosenAGE:29PO:0OV:76
Christian WolaninAGE:28PO:0OV:74
Filip Roos (R)AGE:24PO:0OV:74
William LagessonAGE:27PO:0OV:73
Nikita Okhotiuk (R)AGE:22PO:0OV:73
Victor Mete (R)AGE:25PO:0OV:72
Santtu Kinnunen (R)AGE:24PO:0OV:62
Matthew Robertson (R)AGE:22PO:0OV:59
Dillon HeatheringtonAGE:28PO:0OV:59
Simon Johansson (R)AGE:24PO:0OV:59
Linus UllmarkAGE:29PO:0OV:93
Louis DomingueAGE:31PO:0OV:79
Mackenzie BlackwoodAGE:26PO:0OV:79
Joey Daccord (R)AGE:26PO:0OV:75
Jake KupskyAGE:27PO:0OV:65

Prospects

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Adam GajanBlue Jackets2023123
Charles-Alexis LegaultBlue Jackets2023200
Chase StillmanBlue Jackets202230
Connor BrownBlue Jackets2012156Link
Eric PohlkampBlue Jackets2023220
Frederic BrunetBlue Jackets2022149
Hudson MalinoskiBlue Jackets2023181
Ian MooreBlue Jackets202181
Jack BeckBlue Jackets2022117
Jake BoltmannBlue Jackets2021117
Jiri SmejkalBlue Jackets202391
Kari PiiroinenBlue Jackets2021157
Kirill GerasimyukBlue Jackets2022140
Kyle JacksonBlue Jackets202286
Marco KasperBlue Jackets202310
Nikita GrebyonkinBlue Jackets202291
Nikita TolopiloBlue Jackets2023136
Oliver TarnstromBlue Jackets202186
Olivier NadeauBlue Jackets202285
Ovia KeskinenBlue Jackets2023223
Ryan WintertonBlue Jackets202255
Vyacheslav PeksaBlue Jackets2022118
Zack OstapchukBlue Jackets202247

Draft Picks

Year R1R2R3R4R5R6R7
2024
2025
2026
2027
2028



BlueJackets

By Jean Levergneaux (Blue Jackets) On Wednesday 2nd March 2022 / 8:25am

Playoff Races Inside Look

Goalie Appearance Rule could create problems for some teams in playoff race.

The HSHL Goalies may not appear in more than 65 games in a HSHL season and 3 teams starting goalies that are battling for a playoff spot will have to start their backup more often that they want down the stretch.  

Arizona Coyotes

Juuse Saros has already played in 65 games so far this season, he is done for the regular season.  Will the Coyotes start Anthony Stolarz for the last 15 games of the season?

With the trade deadline behind him the Arizona GM is not in a good spot right now.

The Desert Dogs currently hold the top wild card spot in the western conference with 15 games left but they are only 2 points ahead of Dallas Stars who have a game in hand on the Coyotes.

The Coyotes back up is Anthony Stolarz and his stats this year won’t make the Arizona GM feel very comfortable for the rest of the season.

Anthony Stolarz:  GP 12, W 1, L 4, SV% .591, GAA 9.40

Will he be able to keep the Coyotes in the wild card spot? 

I’m sure seeing those stats put a smile on the Starts GM face.

 

Detroit Red Wings

Semyon Varlamov has already played 60 games with 14 games left for the Wings.  Detroit is probably safe and should make the playoffs since they already have 90 points in the bank and a 7-point lead on Toronto for 3rd in the Atlantic division.

They also have a 13-point lead on Carolina (77) would hold the last wild card spot in the east.

Detroit’s back up is Devan Dubnyk who has struggled this year with a .863 SV% and 4.54 GAA in 13 games, I don’t need to tell you those are not good numbers.

But will they be able to hold back the Leafs and avoid having to play the # 1 seed in the Atlantic Ottawa Senators? 

Either way the Wings will probably have to go through the gauntlet to get out of their division with Montreal and Ottawa both having 50 wins in less than 70 games played.

Resting Varlamov might be what the Wings need to get out of the division.

 

Los Angeles Kings

Jordan Bennington has already played 60 games with 15 games left in the regular season for the Kings.  LA is currently in 3rd place in the Pacific division 6 points ahead of Dallas who are currently out of the playoffs.

The Kings backup is Jonathan Quick, a veteran goalie who has struggled this year with .891 SV% and 3.26 GA in 2021- 22.  Its obviously below average in the HSHL.  Will that be good enough for the Kings who will need Quick to play 10 of the last 15 games.

Even if the Kings make the playoffs, they will probably lose the 3rd seed in the Pacific and end up in one of the wild card spots, which means facing either Vegas or Chicago who have been the class of the league so far this year. 

Also, let’s not forget that the Blackhawks are the HSHL defending Champs!

New Comment



[2024-05-15 11:18:18 AM] - Blue Jackets was eliminated at round 2 of year 2023.
[2024-04-26 8:12:27 AM] - Monsters was eliminated at round 1 of year 2023.
[2024-02-19 11:53:11 AM] - TRADE : From Blue Jackets to Kings : Casey Mittelstadt (80), Sean Monahan (79).
[2024-02-19 11:53:11 AM] - TRADE : From Kings to Blue Jackets : Jared Spurgeon (86), Jordan Martinook (79).
[2024-02-19 11:53:07 AM] - TRADE : From Hurricanes to Blue Jackets : Linus Ullmark (93).
[2024-02-19 11:53:07 AM] - TRADE : From Blue Jackets to Hurricanes : Aatu Raty (70), Filip Gustavsson (88).
[2023-11-16 9:05:18 AM] - Shane Gersich signed with Blue Jackets for $750,000 for 1 year(s).
[2023-11-16 9:05:18 AM] - Shane Gersich was added to Blue Jackets.
[2023-11-16 9:05:10 AM] - Marc Johnstone signed with Blue Jackets for $750,000 for 1 year(s).
[2023-11-16 9:05:10 AM] - Marc Johnstone was added to Blue Jackets.
[2023-11-08 8:55:37 AM] - Dustin Brown has been deleted from Blue Jackets.
[2023-11-07 8:49:06 AM] - Jake Kupsky signed with Blue Jackets for $750,000 for 1 year(s).
[2023-11-07 8:49:06 AM] - Jake Kupsky was added to Blue Jackets.
[2023-10-10 7:39:14 PM] - TRADE : From Blue Jackets to Capitals : Anton Levtchi (58), Filip Kral (58), William Lockwood (72).
[2023-10-10 7:39:14 PM] - TRADE : From Capitals to Blue Jackets : Y:2024-RND:6-WAS.



[2024-05-15 11:18:18 AM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2024-05-13 8:04:20 PM] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2024-05-11 2:08:22 PM] Last 7 Days Pro Star : 1 - Connor Hellebuyck of Sabres (0.956) / 2 - Sam Reinhart of Blue Jackets (6-0-6) / 3 - Cale Makar of Sabres (3-1-4)
[2024-05-09 8:08:55 AM] Pro Game #66 - Sam Reinhart from Blue Jackets has scored a Hat Trick!
[2024-04-28 1:01:30 PM] Pro Game #35 - Tage Thompson from Blue Jackets has scored a Hat Trick!
[2024-04-21 8:30:25 PM] Successfully loaded Blue Jackets lines done with Web Base Client.
[2024-04-21 9:17:58 AM] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.4.4
[2024-04-21 9:17:55 AM] Successfully loaded Blue Jackets lines done with Web Base Client.
[2024-04-20 5:52:09 AM] Successfully loaded Blue Jackets lines done with Web Base Client.
[2024-04-16 7:58:03 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-13 11:32:01 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-11 8:54:26 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-09 7:56:28 AM] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.



No Injury or Suspension.

Cap Hit
Blue Jackets
Projected Total Cap Hit0$
Projected Cap Space82,500,000$
Retained Salary1,680,000$
Salary Cap To Date0$
Players In Salary Cap21
Contracts21/50
LTIR0
Blue Jackets Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Alexandre Carrier D26925,000$925,000$ RFA
Blake ColemanLW/RW315,096,000$5,096,000$5,096,000$UFA
Craig SmithC/RW333,100,000$3,100,000$3,100,000$UFA
Esa LindellD295,800,000$5,800,000$5,800,000$UFA
Filip HronekD254,180,000$4,180,000$4,180,000$4,180,000$UFA
Jared McCannLW/RW275,250,000$5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$UFA
Jared SpurgeonD337,575,000$7,575,000$7,575,000$7,575,000$UFA
Jordan EberleRW335,500,000$5,500,000$5,500,000$UFA
Jordan MartinookLW/RW301,818,000$1,818,000$1,818,000$UFA
Josh Archibald LW/RW30750,000$750,000$ UFA
Lawson CrouseLW/RW264,472,000$4,472,000$4,472,000$4,472,000$4,472,000$4,472,000$UFA
Linus UllmarkG292,738,000$2,738,000$UFA
Luke Schenn D33790,500$790,500$ 790,500$ 790,500$ UFA
Mackenzie BlackwoodG263,060,000$3,060,000$3,060,000$3,060,000$UFA
Mattias EkholmD336,500,000$6,500,000$6,500,000$UFA
Mika ZibanejadC308,075,000$8,075,000$8,075,000$8,075,000$8,075,000$UFA
Nils Aman C23883,750$883,750$ RFA
Ridly Greig C/LW20925,000$925,000$ 925,000$ 925,000$ RFA
Ryan GravesD283,610,000$3,610,000$3,610,000$3,610,000$UFA
Sam ReinhartRW275,876,000$5,876,000$5,876,000$5,876,000$UFA
Tage Thompson C251,442,000$1,442,000$ RFA
Non-Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Adam Brooks C271,237,500$1,237,500$ UFA
Calle Rosen D29876,875$876,875$ 876,875$ 876,875$ UFA
Christian Wolanin D28889,875$889,875$ 889,875$ UFA
Cole Reinhardt LW23925,000$925,000$ 925,000$ RFA
Dillon Heatherington D28861,625$861,625$ 861,625$ UFA
Filip Roos D24925,000$925,000$ RFA
Fredrik Karlstrom C25806,000$806,000$ 806,000$ RFA
Jake Kupsky G27750,000$750,000$ UFA
Joey Daccord G26925,000$925,000$ 925,000$ UFA
Louis Domingue G31775,000$775,000$ UFA
Marc Johnstone RW27750,000$750,000$ RFA
Marian Studenic LW/RW24780,000$780,000$ 780,000$ 780,000$ RFA
Matthew Robertson D22797,500$797,500$ 797,500$ RFA
Nathan Legare RW22789,167$789,167$ 789,167$ RFA
Nicholas Abruzzese LW/RW24750,000$750,000$ RFA
Nikita Okhotiuk D22925,000$925,000$ 925,000$ RFA
Nikita Pavlychev C26780,000$780,000$ RFA
Rhett Gardner C/LW27787,500$787,500$ UFA
Sam Gagner C/RW33775,000$775,000$ UFA
Santtu Kinnunen D24855,000$855,000$ RFA
Shane Gersich LW26750,000$750,000$ RFA
Simon Johansson D24855,000$855,000$ RFA
Victor Mete D25962,000$962,000$ 962,000$ RFA
William Lagesson D27971,250$971,250$ UFA

Blue Jackets

# 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
1Sam Reinhart246138200338603027628685916.07%136478219.44215273137112822543.07%41.41418
2Tage Thompson21269100169114622518753512.90%48330515.591821397701106548.80%41.0229
3Jared McCann16461107168484621217139715.37%72283217.271419337100007246.45%41.1905
4Alex Killorn16161107168926021820330020.33%80318119.7611223349112148234.83%41.0628
5Andreas Athanasiou2366185146255822010650212.15%39337114.299172643101211525.91%00.8719

Blue Jackets

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Tristan Jarry19011158130.9162.62109154247656633266940.76773
2Linus Ullmark38231220.9282.18217720791097590210.80010
3Ryan Miller52221730.8723.662604401591246673210.5004
4Filip Gustavsson2612900.8793.7113250082675390010.0000
5Mackenzie Blackwood2581010.8344.9410810089536298100.3333

Blue Jackets

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
202082382607263243209344125802141133844941131805122110125-1510724336360631098696325040877818778250098959116422085325.48%2335875.11%1724147649.05%725145749.76%49298350.05%1902125818426431240617
202182373208122343286574121120412116511748411620040011781699973435989411001291069824750793837824244090247616832574919.07%2184877.98%3656145745.02%652145944.69%511116843.75%1836118218496621262630
2022824127032363162467041231302012172112604118140122414413410102316550866211171118211279989197391658267990952017252305624.35%2204081.82%6813156551.95%780156649.81%519108447.88%1879123918526411240615
20238237310533330828226412313041001781384041141801233130144-1496308501809201011158414254780885885058257890938016881994723.62%1914576.44%5818151354.06%805148354.28%596117150.90%1829116718376561292643
Total Regular Season3281531160238141412101023187164924601237464845119716461700115710562572-10402121020123222822184533411861032516993501342117181019737091967673889420522.93%86219177.84%153011601150.09%2962596549.66%2118440648.07%744748487382260450352507
Playoff
202051400000711-42020000024-23120000057-227101710023116305051611276233104800.00%14378.57%0459547.37%388743.68%295651.79%12485102367237
202151400000922-132110000067-130300000315-12291423000413153055484816557269913323.08%13284.62%0399341.94%419443.62%266738.81%10971124397437
202240400000421-172020000029-720200000212-100471100220012539513321484536737114.29%18288.89%0327642.11%299032.22%245742.11%7949105315928
20231266000003024663300000141046330000016142123053830010109140512712714011361138542543438.82%27292.59%013826053.08%11423648.31%6913850.00%27617727910018893
Total Playoff26818000005078-281248000002430-614410000002648-2216508413410121813584616628327212280130214953062711.29%72987.50%025452448.47%22250743.79%14831846.54%589384613209395196

Blue Jackets

# 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
1Sam Reinhart211113247619297714.29%1037717.98033700012039.88%11.2700
2Tage Thompson16812209628186013.33%329918.72213700010049.82%11.3400
3Jared McCann16510159015144610.87%1127617.31112700000061.54%01.0800
4Ryan Graves26257-14141959454.44%3252620.2400010000100.00%00.2700
5Nikita Kucherov51452422185.56%08617.37000400000033.33%01.1500

Blue Jackets

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Linus Ullmark126420.9341.947420024361193000.0000
2Tristan Jarry1421110.8883.477620044393214010.0000
3Ryan Miller10000.8004.5040003157000.0000
4Filip Gustavsson20000.8067.20500063116000.0000