Final
SEA4
CBJ2

Aug
27
OilersEdmonton Oilers
7-4-3, 17pts · 3rd in Group B
Player Stats
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 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
1Kyle ConnorOilersOilers81LW1610102014019100336910.00%424.4410100001146.67%3000001.0212
2Sidney CrosbyOilersOilers87C1641519160418624634.65%124.4701100001156.60%58300000.9712
3Mika ZibanejadOilersOilers93C169716100069223613.04%019.9623500061056.73%44600001.0012
4Cam AtkinsonOilersOilers13RW167512060958162212.07%021.2000000001022.73%2200000.7100
5Tage ThompsonOilersOilers27C/LW/RW162101220024814384.17%319.2204400060145.45%2200000.7800
6MacKenzie WeegarOilersOilers52D163912-31604030111810.00%3027.5010100044100.00%000000.5500
7Mikhail SergachevOilersOilers98D160111143753796130.00%2622.2503300010000.00%000000.6200
8Mattias EkholmOilersOilers3D16336-380162141514.29%3026.3721300046000.00%000000.2800
9Brady TkachukOilersOilers7LW164152260724111399.76%119.7501100040038.89%1800000.3200
10Travis KonecnyOilersOilers0LW/RW16505120183191816.13%213.30000000291127.59%2900000.4700
11Brandon CarloOilersOilers0D16145-2403553720.00%2318.2700000055100.00%000000.3400
12Jonathan MarchessaultOilersOilers81LW/RW1605512063616300.00%114.0000000000040.00%1500000.4500
13Travis SanheimOilersOilers0D16033-260168170.00%1215.400000001000.00%000000.2400
14Tyler MyersOilersOilers0D160224115376710.00%1921.0700000041000.00%000000.1200
15Boone JennerOilersOilers38C1610116017316113.23%515.98000000690049.08%38100000.0800
16Jeff SkinnerOilersOilers53LW16101-42093211133.12%18.15101000130033.33%300000.1500
17Derek GrantOilersOilers38C/LW/RW16101-520516036.25%39.65000000690045.58%14700000.1300
18Nino NiederreiterOilersOilers21LW/RW16000-400129880.00%05.1800000000060.00%500000.0000
Team Total or Average2885185136-5138103916362024118.02%16118.12713200003987452.38%170100000.5236
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
1Jack CampbellOilersOilers168440.9212.88102120496180100.5006160201
2Vitek VanecekOilersOilers20000.8624.8050004290000.0000016000
Team Total or Average188440.9182.97107220536470100.50061616201
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
1OilersHurricanes2100010073430.750712190030406619212426016841700.00%40100.00%030657153.59%26850852.76%11821754.38%46305016251270.0%10.6%95.0%105.6LUCKY
2OilersJets20200000613-700.0006101600420076332419062153637400.00%6350.00%030657153.59%26850852.76%11821754.38%48334314271337.5%7.9%79.0%86.9Unlucky
3OilersCanadiens2100010088030.7508142200152087263228189186575240.00%20100.00%030657153.59%26850852.76%11821754.38%48334814261242.9%9.2%91.0%100.2FUN
4OilersSabres2010100034-120.50035800110182242725658202228400.00%9188.89%030657153.59%26850852.76%11821754.38%49344514251250.0%3.7%93.1%96.8DULL
5OilersBlues2100001075241.0007916003122582217166771120552150.00%10280.00%030657153.59%26850852.76%11821754.38%44295216271166.7%12.1%93.5%105.6LUCKY
6OilersBlue Jackets2000100155030.750581300112261212117570121833500.00%9188.89%030657153.59%26850852.76%11821754.38%49344916261255.6%8.2%92.9%101.1DULL
7OilersGolden Knights2110000077020.5007111800223082352522068298607342.86%40100.00%030657153.59%26850852.76%11821754.38%46324714251236.4%8.5%89.7%98.2Unlucky
_Vs Division1444022114345-2170.60743691120015121355121801671512048412111831134617.65%44784.09%030657153.59%26850852.76%11821754.38%3332293391061858849.3%8.4%90.7%99.1Unlucky
_Vs Conference1444022114345-2170.60743691120015121355121801671512048412111831134617.65%44784.09%030657153.59%26850852.76%11821754.38%3332293391061858849.3%8.4%90.7%99.1Unlucky
_Since Last GM Reset1444022114345-2170.60743691120015121355121801671512048412111831134617.65%44784.09%030657153.59%26850852.76%11821754.38%3332293391061858849.3%8.4%90.7%99.1Unlucky
Total1444022114345-2170.60743691120015121355121801671512048412111831134617.65%44784.09%030657153.59%26850852.76%11821754.38%3332293391061858849.3%8.4%90.7%99.1Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 571
Neutral Zone Start 217
Defensive Zone Start 508
Puck Time
With Puck 30
Without Puck 31
Faceoffs
Faceoffs Won 692
Faceoffs Lost 604
Team Average Shots after League Average Shots after
1st Period 12.910.69
2nd Period 24.821.35
3rd Period 35.632.03
Overtime 37.032.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.11.08
2nd Period 1.92.13
3rd Period 2.92.97
Overtime 3.23.07
Even Strenght Goal 37
PP Goal 6
PK Goal 0
Empty Net Goal 0
Home Away
Win 34
Lost 22
Overtime Lost 21
PP Attempt 34
PP Goal 6
PK Attempt 44
PK Goal Against 7
Home
Shots For 36.6
Shots Against 34.6
Goals For 3.1
Goals Against 3.2
Hits 22.2
Shots Blocked 8.6
Pim 8.4