Final
SEA4
CBJ2

Aug
27
Golden KnightsVegas Golden Knights
10-3-1, 21pts · 1st 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
1Elias LindholmGolden KnightsGolden Knights28C1511920-1001284215713.10%524.20235011213149.78%45800011.1001
2Chris KreiderGolden KnightsGolden Knights21LW/RW158917-2605565164912.31%523.85314011201045.16%3100000.9501
3Charlie McAvoyGolden KnightsGolden Knights73D15313164240542681411.54%1923.461340004010.00%000000.9100
4Matt DucheneGolden KnightsGolden Knights95C/RW1579165801249104114.29%317.9734700000146.99%34900001.1900
5Pavel BuchnevichGolden KnightsGolden Knights89LW/RW1531013720294916306.12%618.0901100031147.62%2100000.9611
6Jakub VoracekGolden KnightsGolden Knights0LW/RW1511011-40012197305.26%421.9702200000029.03%3100000.6700
7Taylor HallGolden KnightsGolden Knights4LW154610540242482216.67%115.4010100002036.00%2500000.8700
8Ivan ProvorovGolden KnightsGolden Knights9D15347520301681318.75%2724.0000000038000.00%000000.3900
9Ryan JohansenGolden KnightsGolden Knights92C15145240142612263.85%112.8302200070055.63%29300000.5200
10Erik JohnsonGolden KnightsGolden Knights0D152352602561133.33%1415.2300010129000.00%000000.4400
11Blake ColemanGolden KnightsGolden Knights20C/LW/RW151346409153156.67%09.05000000480133.33%900000.5900
12Conor GarlandGolden KnightsGolden Knights0LW/RW153145401164418.75%05.6800000001157.14%700000.9400
13Vladislav GavrikovGolden KnightsGolden Knights44D151345803291511.11%3319.9500000040000.00%000000.2700
14Adrian KempeGolden KnightsGolden Knights9C/LW/RW151232135304510212.22%012.2810100001055.56%900000.3300
15Thomas ChabotGolden KnightsGolden Knights72D1512354015175125.88%1520.690110000000.00%000000.1900
16Adam LowryGolden KnightsGolden Knights17C/LW152136401795422.22%38.96000000480050.49%20600000.4500
17Teuvo TeravainenGolden KnightsGolden Knights86LW/RW150222001275160.00%310.0100000000052.94%1700000.2700
18Alexander EdlerGolden KnightsGolden Knights23D15022160181140.00%1916.1300000039000.00%000000.1700
Team Total or Average27052931455599539050314136410.34%15816.651117281233039649.59%145600010.6513
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
1Igor ShesterkinGolden KnightsGolden Knights1510320.9272.4291822375090001.0003150401
Team Total or Average1510320.9272.4291822375090001.0003150401
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
1Golden KnightsHurricanes2000200086241.00081523001142701230235721814466116.67%6183.33%028655651.44%27053350.66%10421847.71%48334714251258.3%11.4%91.7%103.1LUCKY
2Golden KnightsJets2100010064230.7506101600510058132520061211452300.00%70100.00%128655651.44%27053350.66%10421847.71%43284915271260.0%10.3%93.4%103.8LUCKY
3Golden KnightsCanadiens2110000065120.50061117002220632217240591615627228.57%5260.00%028655651.44%27053350.66%10421847.71%46314515271357.1%9.5%91.5%101.0LUCKY
4Golden KnightsSabres2100100071641.0007132001330173242422347158494125.00%40100.00%028655651.44%27053350.66%10421847.71%48334714261385.7%9.6%97.9%107.5LUCKY
5Golden KnightsBlues2110000054120.5005712000320601422240742614446233.33%50100.00%028655651.44%27053350.66%10421847.71%44294916261342.9%8.3%94.6%102.9DULL
6Golden KnightsBlue Jackets21000010105541.0001016260115316714331946816145810440.00%7271.43%028655651.44%27053350.66%10421847.71%48304915261366.7%14.9%92.6%107.6LUCKY
7Golden KnightsOilers2110000077020.5007142100241068222422082271442400.00%7357.14%028655651.44%27053350.66%10421847.71%47334614251263.6%10.3%91.5%101.8LUCKY
_Vs Division146303110493217210.75049861350214191244591211751541246313993353401025.00%41880.49%128655651.44%27053350.66%10421847.71%3272193351061859161.9%10.7%93.1%103.8LUCKY
_Vs Conference146303110493217210.75049861350214191244591211751541246313993353401025.00%41880.49%128655651.44%27053350.66%10421847.71%3272193351061859161.9%10.7%93.1%103.8LUCKY
_Since Last GM Reset146303110493217210.75049861350214191244591211751541246313993353401025.00%41880.49%128655651.44%27053350.66%10421847.71%3272193351061859161.9%10.7%93.1%103.8LUCKY
Total146303110493217210.75049861350214191244591211751541246313993353401025.00%41880.49%128655651.44%27053350.66%10421847.71%3272193351061859161.9%10.7%93.1%103.8LUCKY

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 556
Neutral Zone Start 218
Defensive Zone Start 533
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 660
Faceoffs Lost 647
Team Average Shots after League Average Shots after
1st Period 8.610.69
2nd Period 21.121.35
3rd Period 32.132.03
Overtime 33.032.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 2.42.13
3rd Period 3.22.97
Overtime 3.53.07
Even Strenght Goal 38
PP Goal 10
PK Goal 1
Empty Net Goal 0
Home Away
Win 55
Lost 21
Overtime Lost 01
PP Attempt 40
PP Goal 10
PK Attempt 41
PK Goal Against 8
Home
Shots For 32.8
Shots Against 33.1
Goals For 3.5
Goals Against 2.3
Hits 25.2
Shots Blocked 9.9
Pim 6.6