Final
SEA4
CBJ2

Aug
27
FlamesCalgary Flames
6-8-0, 12pts · 6th 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
1Anze KopitarFlamesFlames11C16613196201158233810.34%521.50145000231154.92%45700011.1000
2Blake WheelerFlamesFlames26RW1678157803145133715.56%219.9131400000037.93%2900000.9400
3Roope HintzFlamesFlames24C/LW16471171210216619486.06%122.71123011521046.15%3900100.6100
4Kevin FialaFlamesFlames22C/LW/RW166410-9402657194310.53%521.9710100040055.56%1800000.5700
5Roman JosiFlamesFlames59D16189314030238134.35%2525.3501100034100.00%000000.4400
6Brock BoeserFlamesFlames6RW16358-140824101912.50%113.3900000001041.67%1200000.7500
7Trevor ZegrasFlamesFlames0C16448-280173382012.12%115.3420200001036.26%26200000.6500
8Dougie HamiltonFlamesFlames7D16077-38028185120.00%1719.8503300010000.00%000000.4400
9Christopher TanevFlamesFlames9D16246211522104820.00%2620.6100000045000.00%000000.3600
10Mark ScheifeleFlamesFlames55C16145-82065412341.85%217.7901100000048.12%39900000.3500
11Kevin ShattenkirkFlamesFlames22D16235-3602363633.33%1616.380000000100.00%000000.3800
12Ryan HartmanFlamesFlames38C/RW16044-8175433713270.00%319.05022000210045.45%2200000.2600
13Colton SissonsFlamesFlames10C/RW161232201111179.09%27.72000112580049.57%11500100.4900
14Jakub VranaFlamesFlames13LW/RW16303-10011305910.00%113.68000000140056.25%1600000.2700
15Ryan SuterFlamesFlames20D16213-52011142714.29%1615.211120001000.00%000000.2500
16Connor MurphyFlamesFlames0D16112-21202551420.00%2514.7900010139000.00%000000.1700
17Trevor van RiemsdykFlamesFlames0D16101400530033.33%95.1500000043100.00%000000.2400
18Sam GagnerFlamesFlames89C/RW16011-10012340.00%33.9600000000054.05%7400000.3200
Team Total or Average2884476120-12112203304961493368.87%16016.35915242243497148.37%144300210.5100
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
1Andrei VasilevskiyFlamesFlames157710.9142.61898120394560000.0000151101
2Ville HussoFlamesFlames10100.8924.0060004370000.0000115000
Team Total or Average167810.9132.69958120434930000.00001616101
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
1FlamesFlyers20200000510-500.0005914003110742429210672022477114.29%11190.91%025252348.18%24651947.40%10921351.17%43285015251230.8%6.8%85.1%91.8Unlucky
2FlamesCapitals2200000072541.0007132000403062161927045191348700.00%40100.00%025252348.18%24651947.40%10921351.17%47324515261377.8%11.3%95.6%106.8LUCKY
3FlamesSenators2020000035-200.00035800120059182516071198314125.00%3166.67%025252348.18%24651947.40%10921351.17%45304714261433.3%5.1%93.0%98.0DULL
4FlamesPredators22000000125741.0001222340072307730242306719153810330.00%5180.00%025252348.18%24651947.40%10921351.17%49344614241269.2%15.6%92.5%108.1LUCKY
5FlamesWild2110000056-120.500561100221057201423061171437500.00%7185.71%125252348.18%24651947.40%10921351.17%47314814241250.0%8.8%90.2%98.9Unlucky
6FlamesCanucks2110000034-120.500358001110451220130432219495120.00%7185.71%025252348.18%24651947.40%10921351.17%45294814261240.0%6.7%90.7%97.4Unlucky
7FlamesKraken2020000047-300.00048120020206324182106620636700.00%3166.67%025252348.18%24651947.40%10921351.17%47334615261240.0%6.3%89.4%95.7Unlucky
_Vs Division14680000039390120.42939681070020811043714414914404201369728645613.33%40685.00%125252348.18%24651947.40%10921351.17%3272193331041799050.0%8.9%90.7%99.6Unlucky
_Vs Conference14680000039390120.42939681070020811043714414914404201369728645613.33%40685.00%125252348.18%24651947.40%10921351.17%3272193331041799050.0%8.9%90.7%99.6Unlucky
_Since Last GM Reset14680000039390120.42939681070020811043714414914404201369728645613.33%40685.00%125252348.18%24651947.40%10921351.17%3272193331041799050.0%8.9%90.7%99.6Unlucky
Total14680000039390120.42939681070020811043714414914404201369728645613.33%40685.00%125252348.18%24651947.40%10921351.17%3272193331041799050.0%8.9%90.7%99.6Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 523
Neutral Zone Start 213
Defensive Zone Start 519
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 607
Faceoffs Lost 648
Team Average Shots after League Average Shots after
1st Period 10.310.69
2nd Period 20.921.35
3rd Period 31.232.03
Overtime 31.232.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.41.08
2nd Period 2.02.13
3rd Period 2.82.97
Overtime 2.83.07
Even Strenght Goal 32
PP Goal 6
PK Goal 1
Empty Net Goal 0
Home Away
Win 24
Lost 53
Overtime Lost 00
PP Attempt 45
PP Goal 6
PK Attempt 40
PK Goal Against 6
Home
Shots For 31.2
Shots Against 30.0
Goals For 2.8
Goals Against 2.8
Hits 20.4
Shots Blocked 9.7
Pim 6.9