Blue JacketsColumbus Blue Jackets
48-29-5, 101pts · 2nd 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
1Patrice BergeronBlue JacketsBlue Jackets37C743344777180452867321311.54%1819.:.5351116101755356.60%200900121.0514
2Brayden SchennBlue JacketsBlue Jackets10C/LW/RW8024426633551372791002208.60%918.:.446814000304155.64%40800000.8801
3John TavaresBlue JacketsBlue Jackets91C/LW82273663680403111062198.68%1319.:.0916700042254.52%195900010.8003
4Devon ToewsBlue JacketsBlue Jackets7D82115061-16380105144341007.64%12924.:.036713011213410.00%000000.6200
5Evander KaneBlue JacketsBlue Jackets9LW/RW8128305816655279319872128.78%919.:.0834700037045.11%13300010.7502
6Jonathan MarchessaultBlue JacketsBlue Jackets81LW/RW8127315863801352535516910.67%920.:.54461000014143.07%13700010.6827
7Morgan RiellyBlue JacketsBlue Jackets44D821344571138015014146889.22%10522.:.05551000068310.00%100000.6300
8Phillip DanaultBlue JacketsBlue Jackets24C/LW7520355592810481825612210.99%1218.:.191560001896153.45%144800000.8000
9Seth JonesBlue JacketsBlue Jackets3D8214405419580143114344212.28%9121.:.19448000176010.00%000010.6200
10Anders LeeBlue JacketsBlue Jackets27LW83222244-7260971874410811.76%816.:.1134700006441.67%10800000.6600
11Tom WilsonBlue JacketsBlue Jackets43RW8219214088640215205581659.27%1518.:.451230001251241.41%12800100.5200
12Lars EllerBlue JacketsBlue Jackets20C80919283407713040826.92%912.:.350000112691154.44%142900100.5600
13Connor MurphyBlue JacketsBlue Jackets5D826172310721020948254212.50%12818.:.20000000182000.00%000000.3100
14Andy GreeneBlue JacketsBlue Jackets6D7751722222404937133013.51%7814.:.1500000080100.00%000100.4000
15Erik CernakBlue JacketsBlue Jackets81D6681321-21871516376274810.53%9319.:.38404000127200.00%000000.3200
16Ryan ReavesBlue JacketsBlue Jackets75RW805141973951057121607.04%608.:.1400000012145.24%4200000.5800
17Dysin MayoBlue JacketsBlue Jackets61D644101482558930162513.33%6814.:.48000011115110.00%000000.3000
18Andrew CoglianoBlue JacketsBlue Jackets11LW/RW77358100165510325.45%205.:.56000000730147.50%4000000.3500
19Matthew WedmanBlue JacketsBlue Jackets0LW700000000000.00%000.:.000000000000.00%000000.0000
Team Total or Average141727849076892689952102286884519779.69%80217.3243621051341738492154.06%784200460.63317
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
1Anton ForsbergBlue JacketsBlue Jackets633522490.3%3.04349141177183302266.7%66121543
2Carter HartBlue JacketsBlue Jackets29137190.9%2.871465407076800071.4%72161201
Team Total or Average92482950.9052.9949578124726010220.692138282744
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 JacketsPenguins440000002191281.00021365700103801495444510126433010212325.00%15286.67%01754321454.57%1615304453.06%742136054.56%96658829552872.0%14.1%92.9%107.0LUCKY
2Blue JacketsIslanders40301000713-620.25071421100421130395931110419448614214.29%17288.24%01754321454.57%1615304453.06%742136054.56%103688332563031.3%5.4%87.5%92.9Unlucky
3Blue JacketsRangers430010001712581.000172946004571148425444814029318716318.75%130100.00%01754321454.57%1615304453.06%742136054.56%99689030542853.8%11.5%91.4%102.9LUCKY
4Blue JacketsDevils330000001761161.00017324901647011643472607718126110220.00%6183.33%01754321454.57%1615304453.06%742136054.56%79576021402075.0%14.7%92.2%106.9LUCKY
5Blue JacketsFlyers42002000138581.0001322350043421365334381112447411128112.50%18194.44%11754321454.57%1615304453.06%742136054.56%916010331522663.2%9.6%93.5%103.1LUCKY
6Blue JacketsHurricanes321000001412240.6671427410063501013435320973023764125.00%9277.78%01754321454.57%1615304453.06%742136054.56%76526321392056.5%13.9%87.6%101.5FUN
7Blue JacketsLightning3120000099020.33391827003420943232300913017661700.00%4250.00%01754321454.57%1615304453.06%742136054.56%70477123382056.3%9.6%90.1%99.7FUN
8Blue JacketsJets2110000076120.50071118002230733021220651617511000.00%4175.00%01754321454.57%1615304453.06%742136054.56%50354414251358.3%9.6%90.8%100.4FUN
9Blue JacketsCapitals412010001415-140.5001423370065211263746394145463611013430.77%11372.73%01754321454.57%1615304453.06%742136054.56%93619430552945.5%11.1%89.7%100.8FUN
10Blue JacketsPanthers3120000067-120.33361117001140872422410992635829111.11%13192.31%01754321454.57%1615304453.06%742136054.56%72476522412145.5%6.9%92.9%99.8DULL
11Blue JacketsBruins30300000412-800.00047110010301004223350922827787114.29%11554.55%01754321454.57%1615304453.06%742136054.56%71476922392030.0%4.0%87.0%91.0Unlucky
12Blue JacketsSenators33000000126661.000121931004440100314128097292463400.00%12191.67%01754321454.57%1615304453.06%742136054.56%68467025401970.6%12.0%93.8%105.8LUCKY
13Blue JacketsCanadiens31100001712-530.5007132000322010642352671003226737228.57%11281.82%01754321454.57%1615304453.06%742136054.56%74517023402033.3%6.6%88.0%94.6Unlucky
14Blue JacketsSabres31100100813-530.500814220043109330362701162731709222.22%11281.82%01754321454.57%1615304453.06%742136054.56%67457623371735.3%8.6%88.8%97.4Unlucky
15Blue JacketsMaple Leafs31200000811-320.33381624003230923826280102233253500.00%15286.67%01754321454.57%1615304453.06%742136054.56%70456723412147.1%8.7%89.2%97.9Unlucky
16Blue JacketsBlues20200000313-1000.0003690012006630162007916648800.00%3166.67%01754321454.57%1615304453.06%742136054.56%47324515261420.0%4.5%83.5%88.1Unlucky
17Blue JacketsRed Wings33000000189961.0001834520067501093741310792326867114.29%11463.64%01754321454.57%1615304453.06%742136054.56%75516320412177.3%16.5%88.6%105.1FUN
18Blue JacketsBlackhawks2010100056-120.5005101500112165241722263251053300.00%50100.00%01754321454.57%1615304453.06%742136054.56%48334614251345.5%7.7%90.5%98.2Unlucky
19Blue JacketsPredators2020000026-400.0002461000206520242106222841500.00%30100.00%01754321454.57%1615304453.06%742136054.56%46314714251225.0%3.1%90.3%93.4Unlucky
20Blue JacketsWild2010000126-410.250224000110641829174702212565120.00%60100.00%01754321454.57%1615304453.06%742136054.56%43275316271314.3%3.1%91.4%94.6DULL
21Blue JacketsOilers2100100097241.000915240024216816262427121174322100.00%6183.33%01754321454.57%1615304453.06%742136054.56%45304813271453.8%13.2%90.1%103.4FUN
22Blue JacketsFlames2110000066020.500612180031208931312704612103711327.27%4175.00%01754321454.57%1615304453.06%742136054.56%53384114251337.5%6.7%87.0%93.7Unlucky
23Blue JacketsCanucks2200000094541.00091726004320913334240561312495120.00%60100.00%01754321454.57%1615304453.06%742136054.56%55383813261466.7%9.9%92.9%102.7LUCKY
24Blue JacketsAvalanche2020000039-600.00035800120064182719059171033300.00%4175.00%01754321454.57%1615304453.06%742136054.56%47324614261327.3%4.7%84.7%89.4Unlucky
25Blue JacketsKings2200000082641.0008142200332071233018053174477228.57%20100.00%01754321454.57%1615304453.06%742136054.56%51374114261375.0%11.3%96.2%107.5LUCKY
26Blue JacketsCoyotes2200000074341.0007132000142063192222075191548200.00%5180.00%01754321454.57%1615304453.06%742136054.56%45294715261370.0%11.1%94.7%105.8LUCKY
27Blue JacketsStars2200000073441.000713200022307626302005114124510110.00%60100.00%01754321454.57%1615304453.06%742136054.56%50333916291566.7%9.2%94.1%103.3LUCKY
28Blue JacketsDucks2110000078-120.5007132000142050191516068181244300.00%60100.00%01754321454.57%1615304453.06%742136054.56%42275015271246.7%14.0%88.2%102.2FUN
29Blue JacketsSharks20100001710-310.2507132000142080312320974232052300.00%9188.89%01754321454.57%1615304453.06%742136054.56%47314815281343.8%8.8%86.5%95.2Unlucky
30Blue JacketsKraken2000011044030.750461000201266232019659121759800.00%50100.00%01754321454.57%1615304453.06%742136054.56%50344515291550.0%6.1%93.2%99.3DULL
31Blue JacketsGolden Knights2200000074341.00071219001330872931270632318494125.00%9188.89%01754321454.57%1615304453.06%742136054.56%50354114271366.7%8.0%93.7%101.7DULL
_Vs Division26156050001037528400.76910318328611362735590630231926124813232217634771620.78%891187.64%11754321454.57%1615304453.06%742136054.56%64043458419835418357.6%11.4%90.8%102.1FUN
_Vs Conference5026170510117515421640.640175315490116150595168757857550731158945043512051422316.20%1773083.05%11754321454.57%1615304453.06%742136054.56%1210816113838267534655.1%10.4%90.3%100.7FUN
_Since Last GM Reset82402907213268252161010.616268481749218686889282596897184554260374063519602313414.72%2603885.38%11754321454.57%1615304453.06%742136054.56%198913451866620110756752.2%9.5%90.3%99.8FUN
Total82402907213268252161010.616268481749218686889282596897184554260374063519602313414.72%2603885.38%11754321454.57%1615304453.06%742136054.56%198913451866620110756752.2%9.5%90.3%99.8FUN

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 3214
Neutral Zone Start 1360
Defensive Zone Start 3044
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 4111
Faceoffs Lost 3507
Team Average Shots after League Average Shots after
1st Period 11.810.69
2nd Period 23.621.35
3rd Period 34.032.03
Overtime 34.632.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 2.12.13
3rd Period 3.22.97
Overtime 3.33.07
Even Strenght Goal 231
PP Goal 34
PK Goal 1
Empty Net Goal 2
Home Away
Win 2622
Lost 1316
Overtime Lost 23
PP Attempt 231
PP Goal 34
PK Attempt 260
PK Goal Against 38
Home
Shots For 34.5
Shots Against 31.7
Goals For 3.3
Goals Against 3.1
Hits 23.9
Shots Blocked 9.0
Pim 7.7