Blue JacketsColumbus Blue Jackets
8-4-1, 17pts · 5th in Eastern Conference
Player Stats
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# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Aleksander BarkovBlue JacketsBlue Jackets16C/LW131417319401866194021.21%321.:.2324610111155.70%37700032.2300
2Claude GirouxBlue JacketsBlue Jackets28C/LW/RW1311132410201146102023.91%119.:.4811200000068.75%1600021.8600
3Patrick KaneBlue JacketsBlue Jackets88RW144131732074920418.16%220.:.2905500000138.46%2600001.1801
4Devon ToewsBlue JacketsBlue Jackets7D135111646014266919.23%2624.:.4911201120110.00%000000.9900
5Alex OvechkinBlue JacketsBlue Jackets8LW139716-3202175184412.00%120.:.2652700001250.00%2800001.2000
6Chris KreiderBlue JacketsBlue Jackets20LW/RW13114151140122811303.57%118.:.5901100001072.73%2200001.2100
7Neal PionkBlue JacketsBlue Jackets4D133710360352161714.29%2423.:.3211200020100.00%000000.6500
8Cole CaufieldBlue JacketsBlue Jackets13LW/RW13459100634134211.76%118.:.3602200022040.91%2200000.7400
9Mika ZibanejadBlue JacketsBlue Jackets93C/RW13178-22014415262.44%719.:.3412300050053.01%34900000.6300
10Brandon TanevBlue JacketsBlue Jackets73LW/RW13426300142681215.38%315.:.18000000310054.55%2200000.6000
11Jaccob SlavinBlue JacketsBlue Jackets74D130550208108160.00%2622.:.1900000025000.00%000000.3400
12Jordan StaalBlue JacketsBlue Jackets11C/LW1314502013308263.33%317.:.10011000290059.20%32600000.4500
13Kevin BahlBlue JacketsBlue Jackets89D14123415526125128.33%2421.:.1500000014000.00%000000.2000
14Kaedan KorczakBlue JacketsBlue Jackets6D130223001111030.00%814.:.1200000013000.00%000000.2200
15Mattias EkholmBlue JacketsBlue Jackets14D3112-140422450.00%417.:.370000003000.00%000000.7600
16Carson SoucyBlue JacketsBlue Jackets9D130113155124130.00%1412.:.560000000000.00%000000.1200
17Garnet HathawayBlue JacketsBlue Jackets19LW/RW13011-1401917290.00%109.:.1100000040044.44%900000.1700
18Anthony RomanoBlue JacketsBlue Jackets29C/RW3000-10000000.00%004.:.53000000000100.00%200000.0000
19Austin WatsonBlue JacketsMonsters (CBJ)51C/LW/RW200000031000.00%004.:.480000000000.00%000000.0000
20Donavan HouleBlue JacketsMonsters (CBJ)0C400000000000.00%000.:.000000000000.00%000000.0000
21Parker KellyBlue JacketsBlue Jackets17C/LW13000-20074230.00%105.:.04000000120047.83%4600000.0000
22Marc GatcombBlue JacketsMonsters (CBJ)61C/RW600002032210.00%003.:.44000000000100.00%300000.0000
Team Total or Average2295911217144701025250214435711.75%15017:481120311121857555.26%124500050.8401
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
1Lukas DostalBlue JacketsBlue Jackets1164189.5%3.3666000373540100.0%0112002
2Jeremy BrodeurBlue JacketsMonsters (CBJ)110093.3%3.0060003450000.0%014000
3Chris DriedgerBlue JacketsBlue Jackets312090.1%3.3318001101010000.0%038010
Team Total or Average1476189.7%3.3684001474550100.00001410012
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1Blue JacketsPenguins1100000094521.000917260043203215107043810234250.00%50100.00%129151856.18%27049754.33%13223057.39%171127814663.6%28.1%90.7%118.8FUN
2Blue JacketsIslanders1100000041321.00047110022003412101203012215200.00%10100.00%029151856.18%27049754.33%13223057.39%281918613780.0%11.8%96.7%108.4LUCKY
3Blue JacketsDevils1010000034-100.00036900102029781403513816200.00%40100.00%029151856.18%27049754.33%13223057.39%221424813642.9%10.3%88.6%98.9FUN
4Blue JacketsLightning1010000014-300.000112001000277146038104213133.33%20100.00%029151856.18%27049754.33%13223057.39%19122671460.0%3.7%89.5%93.2Unlucky
5Blue JacketsCapitals1100000052321.0005101500311056191225029154195120.00%20100.00%029151856.18%27049754.33%13223057.39%292219611666.7%8.9%93.1%102.0Unlucky
6Blue JacketsSabres1000010045-110.50047110021103515128032162203133.33%110.00%029151856.18%27049754.33%13223057.39%251721713642.9%11.4%84.4%95.8FUN
7Blue JacketsMaple Leafs1100000063321.0006101600420045191412045154242150.00%2150.00%029151856.18%27049754.33%13223057.39%241621613771.4%13.3%93.3%106.7LUCKY
8Blue JacketsBlues1000100054121.000591400121146132011228911192150.00%3233.33%029151856.18%27049754.33%13223057.39%251821714666.7%10.9%85.7%96.6FUN
9Blue JacketsPredators1100000054121.00059140012203711620035176144125.00%30100.00%029151856.18%27049754.33%13223057.39%201327712550.0%13.5%88.6%102.1FUN
10Blue JacketsWild1100000041321.000471100031033919503089203266.67%10100.00%029151856.18%27049754.33%13223057.39%221424713666.7%12.1%96.7%108.8LUCKY
11Blue JacketsFlames1010000034-100.0003580002103181310030120157114.29%000.00%029151856.18%27049754.33%13223057.39%231521714733.3%9.7%86.7%96.3FUN
12Blue JacketsAvalanche1100000063321.0006121800051033101670274622000.00%20100.00%029151856.18%27049754.33%13223057.39%251720714766.7%18.2%88.9%107.1FUN
13Blue JacketsStars1010000013-200.00012300100030911100266619000.00%2150.00%029151856.18%27049754.33%13223057.39%221523713633.3%3.3%88.5%91.8Unlucky
_Vs Division4310000021111060.7502140610010650151534058013748247313323.08%120100.00%129151856.18%27049754.33%13223057.39%97678929532662.1%13.9%92.0%105.9LUCKY
_Vs Conference742001003223990.64332589000179602589480840252893413821628.57%17288.24%129151856.18%27049754.33%13223057.39%16711415852934755.3%12.4%90.9%103.3FUN
_Since Last GM Reset137401100564214170.65456102158002023121468154165147242814572247371129.73%28582.14%129151856.18%27049754.33%13223057.39%306209297971768854.9%12.0%90.2%102.2FUN
Total137401100564214170.65456102158002023121468154165147242814572247371129.73%28582.14%129151856.18%27049754.33%13223057.39%306209297971768854.9%12.0%90.2%102.2FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 518
Neutral Zone Start 230
Defensive Zone Start 497
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 693
Faceoffs Lost 552
Team Average Shots after League Average Shots after
1st Period 11.810.69
2nd Period 24.521.35
3rd Period 35.832.03
Overtime 36.032.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.51.08
2nd Period 3.32.13
3rd Period 4.22.97
Overtime 4.33.07
Even Strenght Goal 44
PP Goal 11
PK Goal 1
Empty Net Goal 0
Home Away
Win 44
Lost 22
Overtime Lost 01
PP Attempt 37
PP Goal 11
PK Attempt 28
PK Goal Against 5
Home
Shots For 36.0
Shots Against 32.9
Goals For 4.3
Goals Against 3.2
Hits 19.0
Shots Blocked 11.2
Pim 5.5