Final
SEA4
CBJ2

Aug
27
CanucksVancouver Canucks
10-4-0, 20pts · 1st in Group A
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
1Nikita KucherovCanucksCanucks86RW1669150951555175610.91%122.5132500001025.81%3100000.8322
2Jake GuentzelCanucksCanucks59LW/RW1668145402952174211.54%217.5910100001038.89%1800001.0011
3Jonathan HuberdeauCanucksCanucks11LW164913060366928575.80%222.5714500001046.88%3200000.7212
4Oliver Ekman-LarssonCanucksCanucks23D162101284017145914.29%2821.4003301136000.00%000000.7000
5Clayton KellerCanucksCanucks0C/LW/RW1647112001138182410.53%113.2511210192060.00%1500001.0400
6Troy TerryCanucksCanucks0C/RW16291142093612285.56%117.2802200000033.33%8100000.8000
7Drew DoughtyCanucksCanucks8D16369-51601823101913.04%2324.011120001020.00%000000.4700
8Evgeni MalkinCanucksCanucks71C165491801838113113.16%222.3912300002049.35%46000000.5000
9Sean CouturierCanucksCanucks14C1645954020428239.52%418.05000000500048.46%42100000.6200
10Neal PionkCanucksCanucks4D16358780422161314.29%2420.9611200014100.00%000000.4800
11Jeff PetryCanucksCanucks26D16358-313542173517.65%2723.1000001140000.00%000000.4300
12Radko GudasCanucksCanucks33D1605533210454540.00%1114.3300000034000.00%000000.4400
13Brandon TanevCanucksCanucks13LW/RW162350207172811.76%08.82000000541041.67%1200000.7100
14Anton LundellCanucksCanucks0C16314100831699.68%111.40000000220050.38%26400000.4400
15Luke GlendeningCanucksCanucks41C/RW16224060483825.00%16.53000000180080.00%500000.7700
16Adam HenriqueCanucksCanucks0C/LW161340002144107.14%05.3800000000052.17%11500000.9300
17Tyler SeguinCanucksCanucks91C/RW1621318015228149.09%010.6100000080058.82%1700000.3500
18Evan BouchardCanucksCanucks75D16033300614650.00%1517.0401100036000.00%000000.2200
Team Total or Average2885295147321222034451516936510.10%14316.51917261233299248.20%147100000.6245
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
1Connor HellebuyckCanucksCanucks1611500.9102.8796220465110000.8005160111
2Robin LehnerCanucksCanucks10001.0000.001100080000.0000016000
Team Total or Average1711500.9112.8497320465190000.80051616111
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
1CanucksFlyers2010001056-120.50057120021127025251755718848700.00%4250.00%025252647.91%25552448.66%11521852.75%53394414261255.6%7.1%89.5%96.6Unlucky
2CanucksCapitals22000000103741.000101929007210762833150712125376233.33%5180.00%025252647.91%25552448.66%11521852.75%46314716251380.0%13.2%95.8%108.9LUCKY
3CanucksSenators2000101086241.00081321002133602117178581222474125.00%11190.91%025252647.91%25552448.66%11521852.75%49355216261258.3%13.3%89.7%103.0FUN
4CanucksPredators2200000094541.000915240045008331292306118104411436.36%5180.00%025252647.91%25552448.66%11521852.75%49334215271462.5%10.8%93.4%104.3LUCKY
5CanucksWild2110000038-520.5003690000305814242007919842300.00%4175.00%025252647.91%25552448.66%11521852.75%46324715251230.0%5.2%89.9%95.0Unlucky
6CanucksFlames2110000043120.5004812001120432013100451115397114.29%5180.00%025252647.91%25552448.66%11521852.75%48334516261360.0%9.3%93.3%102.6LUCKY
7CanucksKraken2110000077020.500712190032206026925063172445500.00%7185.71%125252647.91%25552448.66%11521852.75%47324514261453.8%11.7%88.9%100.6FUN
_Vs Division14740102046379200.71446801260019121254501651501271343411611230243818.60%41880.49%125252647.91%25552448.66%11521852.75%3422363261081859356.7%10.2%91.5%101.7LUCKY
_Vs Conference14740102046379200.71446801260019121254501651501271343411611230243818.60%41880.49%125252647.91%25552448.66%11521852.75%3422363261081859356.7%10.2%91.5%101.7LUCKY
_Since Last GM Reset14740102046379200.71446801260019121254501651501271343411611230243818.60%41880.49%125252647.91%25552448.66%11521852.75%3422363261081859356.7%10.2%91.5%101.7LUCKY
Total14740102046379200.71446801260019121254501651501271343411611230243818.60%41880.49%125252647.91%25552448.66%11521852.75%3422363261081859356.7%10.2%91.5%101.7LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 526
Neutral Zone Start 218
Defensive Zone Start 524
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 622
Faceoffs Lost 646
Team Average Shots after League Average Shots after
1st Period 11.810.69
2nd Period 22.521.35
3rd Period 31.632.03
Overtime 32.532.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.41.08
2nd Period 2.22.13
3rd Period 3.12.97
Overtime 3.43.07
Even Strenght Goal 37
PP Goal 8
PK Goal 1
Empty Net Goal 0
Home Away
Win 64
Lost 13
Overtime Lost 00
PP Attempt 43
PP Goal 8
PK Attempt 41
PK Goal Against 8
Home
Shots For 32.1
Shots Against 31.0
Goals For 3.3
Goals Against 2.6
Hits 21.6
Shots Blocked 8.3
Pim 8.0