Blue JacketsColumbus Blue Jackets
49-23-3, 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
1Aleksander BarkovBlue JacketsBlue Jackets16C7537629930240793069725512.09%721.:.4131114000286153.29%228000111.2235
2Chris KreiderBlue JacketsBlue Jackets20LW/RW75384381342601123289021011.59%1420.:.47581300004445.54%11200001.0400
3Mika ZibanejadBlue JacketsBlue Jackets93C7432447615100923178924310.09%1320.:.11612180003210152.38%186700001.0222
4Alex OvechkinBlue JacketsBlue Jackets8LW75343973-123952033681042959.24%1320.:.44791600022337.50%14400010.9413
5Claude GirouxBlue JacketsBlue Jackets28C/LW/RW752438624180742397816710.04%1219.:.046111700062351.50%20000010.8701
6Boone JennerBlue JacketsBlue Jackets38C/LW75223557235951602026216610.89%1119.:.113912000484054.32%60200000.7900
7Devon ToewsBlue JacketsBlue Jackets7D74104353123007112856747.81%10625.:.1341115000172200.00%000000.5700
8Cole CaufieldBlue JacketsBlue Jackets13LW/RW75252853920372105513811.90%216.:.12891700006048.75%8000000.8725
9Damon SeversonBlue JacketsBlue Jackets78D73102939183158681304412.35%8021.:.41437011121210.00%000000.4900
10James van RiemsdykBlue JacketsBlue Jackets21LW/RW76112839-228040196721405.61%916.:.4126800003055.63%14200000.6116
11Lars EllerBlue JacketsBlue Jackets12C/LW741122335603216239986.79%1312.:.550330001850050.58%137400000.6900
12Jaccob SlavinBlue JacketsBlue Jackets74D72121931-33009790325613.33%12124.:.156612011199200.00%000000.3500
13Brayden McNabbBlue JacketsBlue Jackets3D75518232776101925220389.62%11519.:.27000000149000.00%000000.3200
14Rickard RakellBlue JacketsBlue Jackets67LW/RW6971320-141006812034895.83%512.:.44022000112046.05%7600000.4511
15Jacob TroubaBlue JacketsBlue Jackets65D51316191058201424619326.52%7321.:.57101000105000.00%000000.3400
16Justin SchultzBlue JacketsBlue Jackets4D70511163140425917398.47%5615.:.2433600040000.00%000000.3000
17Trevor LewisBlue JacketsBlue Jackets61C/RW72369-19120425310425.66%1007.:.14011000610149.26%13600000.3501
18Carson SoucyBlue JacketsBlue Jackets9D56257220063228139.09%4413.:.0400000035000.00%000000.1900
19Parker KellyBlue JacketsBlue Jackets17C/LW683362120404812236.25%807.:.330000001961034.78%4600000.2300
20Kaedan KorczakBlue JacketsMonsters (CBJ)5D8055-22096130.00%1217.:.130220000000.00%000000.7300
21Mike ReillyBlue JacketsMonsters (CBJ)6D502202033020.00%114.:.420000004000.00%000000.5400
22Benoit-Olivier GroulxBlue JacketsMonsters (CBJ)24C/LW500002053220.00%005.:.1400000000045.83%2400000.0000
23Donavan HouleBlue JacketsMonsters (CBJ)0C500000000000.00%000.:.000000000000.00%000000.0000
24Julien GauthierBlue JacketsMonsters (CBJ)61LW/RW100000001010.00%002.:.430000000000.00%000000.0000
Team Total or Average1354294502796124485451672302792421629.71%71217:45581041620221399461451.83%705900130.661024
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 Name
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Juuse SarosBlue JacketsBlue Jackets654321191.4%2.60393142170198402093.3%15659252
2Carter HartBlue JacketsBlue Jackets1062288.0%3.5860300363010000.0%01055000
Team Total or Average754923391.0%2.7345344220622850200.933157564252
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 JacketsPenguins3110001078-140.66771219012221103293533895192953900.00%120100.00%01579300452.56%1378264952.02%653125252.16%69457224432146.7%6.8%91.6%98.4DULL
2Blue JacketsIslanders3020100068-220.33361117002121993332313772810829111.11%50100.00%01579300452.56%1378264952.02%653125252.16%76516224422138.5%6.1%89.6%95.7Unlucky
3Blue JacketsRangers440000001911881.000193453006760158564854011734298417317.65%70100.00%01579300452.56%1378264952.02%653125252.16%94659331522559.3%12.0%90.6%102.6FUN
4Blue JacketsDevils32100000119240.6671118290026301003431350912327566116.67%10280.00%01579300452.56%1378264952.02%653125252.16%74496321412058.8%11.0%90.1%101.1FUN
5Blue JacketsFlyers31001010129361.00012203200262310637303298528145410220.00%7271.43%01579300452.56%1378264952.02%653125252.16%78546824412058.8%11.3%89.4%100.7FUN
6Blue JacketsHurricanes422000001512340.5001526410075301746147660122362210512433.33%11463.64%01579300452.56%1378264952.02%653125252.16%98698929522657.9%8.6%90.2%98.8Unlucky
7Blue JacketsLightning30101100710-330.5007121900222110239312841043521589111.11%8187.50%01579300452.56%1378264952.02%653125252.16%66447723401940.0%6.9%90.4%97.2Unlucky
8Blue JacketsJets2100010086230.75081523001250863233210711919479222.22%6266.67%01579300452.56%1378264952.02%653125252.16%53374113251360.0%9.3%91.5%100.9LUCKY
9Blue JacketsCapitals2110000057-220.50058130021207824213306274448112.50%2150.00%01579300452.56%1378264952.02%653125252.16%50344215261340.0%6.4%88.7%95.1Unlucky
10Blue JacketsPanthers30300000815-700.00081321001340882534290981926549333.33%13284.62%01579300452.56%1378264952.02%653125252.16%68477621351727.8%9.1%84.7%93.8FUN
11Blue JacketsBruins31100010118340.6671115260062211233338486106232863800.00%12191.67%01579300452.56%1378264952.02%653125252.16%75506821412161.1%8.9%92.5%101.4Unlucky
12Blue JacketsSenators1010000023-100.0002350002002268803511620200.00%30100.00%01579300452.56%1378264952.02%653125252.16%231523712640.0%9.1%91.4%100.5LUCKY
13Blue JacketsCanadiens330000001761161.0001730470097101103944270831116679222.22%7185.71%01579300452.56%1378264952.02%653125252.16%73516623392075.0%15.5%92.8%108.2LUCKY
14Blue JacketsSabres2110000087120.50081523003230562513180593112395120.00%60100.00%01579300452.56%1378264952.02%653125252.16%44294815261350.0%14.3%88.1%102.4FUN
15Blue JacketsMaple Leafs30100110910-130.500914230021521143636396872225499333.33%9366.67%01579300452.56%1378264952.02%653125252.16%74507124422046.2%7.9%88.5%96.4Unlucky
16Blue JacketsBlues2200000095441.00091726005040612214250632214415120.00%6266.67%11579300452.56%1378264952.02%653125252.16%47314415271372.7%14.8%92.1%106.8LUCKY
17Blue JacketsRed Wings32000010136761.00013233600462212739355087423215113323.08%7271.43%01579300452.56%1378264952.02%653125252.16%84585822422271.4%10.2%91.9%102.1LUCKY
18Blue JacketsBlackhawks2200000091841.00091625013240662221230702016427228.57%80100.00%01579300452.56%1378264952.02%653125252.16%49334516251287.5%13.6%98.6%112.2LUCKY
19Blue JacketsPredators2020000048-400.000471100211067232222065156556233.33%3233.33%01579300452.56%1378264952.02%653125252.16%44294714271325.0%6.0%87.7%93.7Unlucky
20Blue JacketsWild2200000096341.0009162500630057221718082202442700.00%70100.00%01579300452.56%1378264952.02%653125252.16%45304915251260.0%15.8%92.7%108.5LUCKY
21Blue JacketsOilers2020000026-400.0002240001105618201806513644300.00%3233.33%01579300452.56%1378264952.02%653125252.16%46324814241133.3%3.6%90.8%94.3Unlucky
22Blue JacketsFlames2100100096341.0009172600242159182416158131034400.00%50100.00%01579300452.56%1378264952.02%653125252.16%56393814261360.0%15.3%89.7%104.9FUN
23Blue JacketsCanucks2200000095441.0009172600333076202234059810457457.14%5260.00%01579300452.56%1378264952.02%653125252.16%50344214271462.5%11.8%91.5%103.4LUCKY
24Blue JacketsAvalanche2020000025-300.00024600101065172325057201737600.00%50100.00%01579300452.56%1378264952.02%653125252.16%50344214271328.6%3.1%91.2%94.3DULL
25Blue JacketsKings2110000055020.5005101500212054201915058222045600.00%10190.00%01579300452.56%1378264952.02%653125252.16%48334415261255.6%9.3%91.4%100.6LUCKY
26Blue JacketsCoyotes22000000116541.00011213200353079213127066244398337.50%110.00%01579300452.56%1378264952.02%653125252.16%46304515271361.5%13.9%90.9%104.8FUN
27Blue JacketsStars2100100074341.0007142100312161191426262198406116.67%30100.00%01579300452.56%1378264952.02%653125252.16%47304515281460.0%11.5%93.5%105.0LUCKY
28Blue JacketsDucks2200000084441.00081523002600802933180622116366116.67%7271.43%01579300452.56%1378264952.02%653125252.16%47324514261377.8%10.0%93.5%103.5LUCKY
29Blue JacketsSharks2200000092741.00091625002250781337280501710386350.00%50100.00%01579300452.56%1378264952.02%653125252.16%45294715261375.0%11.5%96.0%107.5LUCKY
30Blue JacketsKraken2200000093641.00091625008010914129210391394510330.00%10100.00%01579300452.56%1378264952.02%653125252.16%52374015261366.7%9.9%92.3%102.2LUCKY
31Blue JacketsGolden Knights2110000045-120.5004812002110722627190632384311218.18%40100.00%01579300452.56%1378264952.02%653125252.16%48334515261328.6%5.6%92.1%97.6DULL
_Vs Division2211702020756411300.6827512920401232820581827424428420649175135478711216.90%54983.33%01579300452.56%1378264952.02%653125252.16%54236949117130015053.4%9.2%90.1%99.3FUN
_Vs Conference4318150325015012921540.628150254404015053391115605164835314412953502908791352518.52%1191984.03%01579300452.56%1378264952.02%653125252.16%105371698233058029253.2%9.6%90.0%99.7FUN
_Since Last GM Reset75392305350264206581010.6732644657290295857413266887986988747228563948715522424920.25%1983383.33%11579300452.56%1378264952.02%653125252.16%183412491696573100850655.4%9.9%91.0%100.9FUN
Total75392305350264206581010.6732644657290295857413266887986988747228563948715522424920.25%1983383.33%11579300452.56%1378264952.02%653125252.16%183412491696573100850655.4%9.9%91.0%100.9FUN

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 3004
Neutral Zone Start 1252
Defensive Zone Start 2649
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 3610
Faceoffs Lost 3295
Team Average Shots after League Average Shots after
1st Period 11.710.69
2nd Period 23.321.35
3rd Period 35.132.03
Overtime 35.832.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.31.08
2nd Period 2.42.13
3rd Period 3.42.97
Overtime 3.63.07
Even Strenght Goal 214
PP Goal 49
PK Goal 1
Empty Net Goal 0
Home Away
Win 2524
Lost 1112
Overtime Lost 12
PP Attempt 242
PP Goal 49
PK Attempt 198
PK Goal Against 33
Home
Shots For 35.6
Shots Against 30.5
Goals For 3.5
Goals Against 2.7
Hits 20.7
Shots Blocked 8.5
Pim 6.5