Golden KnightsVegas Golden Knights
9-2-2, 20pts · 6th in Western Conference
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
1Jack EichelGolden KnightsGolden Knights9C1341317-200116928395.80%625.:.07257000300055.63%48000001.0413
2Ryan Nugent-HopkinsGolden KnightsGolden Knights0C/LW1239124009438326.98%218.:.32123011241053.72%29600001.0811
3William NylanderGolden KnightsGolden Knights0LW/RW136612-200753184511.32%122.:.2214500001054.17%2400000.8303
4Adrian KempeGolden KnightsGolden Knights9C/LW/RW135510-1120445415299.26%323.:.49123000252153.85%2600000.6503
5Jonathan MarchessaultGolden KnightsGolden Knights0LW/RW1346101202825133816.00%116.:.5412300001141.67%2400000.9102
6Erik KarlssonGolden KnightsGolden Knights65D13459-320162081520.00%1925.:.5430300014010.00%000000.5311
7Nick PaulGolden KnightsGolden Knights0C/LW13156-20082414214.17%115.:.11112000220054.72%21200000.6100
8Brady SkjeiGolden KnightsGolden Knights55D130661209128160.00%1417.:.2104400031000.00%000000.5300
9Kyle PalmieriGolden KnightsGolden Knights0RW13505100153371915.15%216.:.4620200000266.67%1200000.4601
10Cam FowlerGolden KnightsGolden Knights4D121450004158156.67%1519.:.530110000000.00%000000.4200
11Radko GudasGolden KnightsGolden Knights0D1313422756885612.50%2020.:.3400000019000.00%000000.3000
12Brayden McNabbGolden KnightsGolden Knights0D13134-112028741014.29%2022.:.3500010126100.00%000000.2700
13Luke KuninGolden KnightsGolden Knights11C/LW/RW132130008204410.00%207.:.1700000001056.76%11100000.6300
14Bobby McMannGolden KnightsGolden Knights22LW1320214015213149.52%010.:.46000000100038.89%1800000.2900
15Isac LundestromGolden KnightsGolden Knights21C/RW12112-100382512.50%308.:.31000000141050.00%2000000.3900
16Simon BenoitGolden KnightsGolden Knights2D130221115233320.00%1713.:.2500000027000.00%000000.2300
17Vasily PodkolzinGolden KnightsGolden Knights0LW/RW13112040313247.69%007.:.1200000000050.00%1000000.4300
18Max PaciorettyGolden KnightsGolden Knights67LW1301104059280.00%007.:.0400000000016.67%600000.2201
19Nikolai KovalenkoGolden KnightsSilver Knights (VGK)0RW71010203341033.33%109.:.1400000000040.00%500000.3100
20Nick BlankenburgGolden KnightsSilver Knights (VGK)0D100000011000.00%221.:.010000001000.00%000000.0000
21Oliver WahlstromGolden KnightsSilver Knights (VGK)26RW100000000000.00%000.:.000000000000.00%000000.0000
Team Total or Average2314171112-180103044371523229.38%12616:381221331122488554.32%123900000.58315
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
1Ilya SorokinGolden KnightsGolden Knights1182192.5%2.31676002634800091.7%12112210
2Alex NedeljkovicGolden KnightsGolden Knights210189.2%3.841250087400050.0%2211000
Team Total or Average1392291.9%2.5580100344220000.857141313210
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 KnightsHurricanes2000110066030.75061117001311752922213692010408225.00%5180.00%028150955.21%27949256.71%10719554.87%53374516271344.4%8.0%91.3%99.3DULL
2Golden KnightsLightning2020000026-400.000246000110512015160521211482150.00%3166.67%028150955.21%27949256.71%10719554.87%50354114271416.7%3.9%88.5%92.4Unlucky
3Golden KnightsPanthers1100000021121.0002350001103311101202112418200.00%10100.00%028150955.21%27949256.71%10719554.87%241520815866.7%6.1%95.2%101.3DULL
4Golden KnightsBruins1000001032121.000347001012346618937114213133.33%20100.00%028150955.21%27949256.71%10719554.87%282022713750.0%8.8%94.6%103.4DULL
5Golden KnightsRed Wings1100000032121.0003470021003512111202984344125.00%20100.00%128150955.21%27949256.71%10719554.87%271918613650.0%8.6%93.1%101.7DULL
6Golden KnightsFlames22000000126641.000122133003540732924200672617457228.57%6183.33%028150955.21%27949256.71%10719554.87%50364215271366.7%16.4%91.0%107.5FUN
7Golden KnightsAvalanche1100000054121.0005914003110291211603674252150.00%20100.00%028150955.21%27949256.71%10719554.87%221424713650.0%17.2%88.9%106.1FUN
8Golden KnightsKings1000001021121.00022400001135148101035712313133.33%60100.00%028150955.21%27949256.71%10719554.87%251725813650.0%5.7%97.1%102.9DULL
9Golden KnightsSharks1000000145-110.5004610002110391017510431742422100.00%10100.00%028150955.21%27949256.71%10719554.87%241527713728.6%10.3%88.4%98.6FUN
10Golden KnightsKraken1100000042221.00047110003103515119033812212150.00%6266.67%028150955.21%27949256.71%10719554.87%2618208136100.0%11.4%93.9%105.4LUCKY
_Vs Division530000112214890.90022365800597118268604420178584512114642.86%19384.21%028150955.21%27949256.71%10719554.87%1268711539673359.3%12.1%92.1%104.2LUCKY
_Vs Conference6400001127189110.917274572008108121180715020214654914616743.75%21385.71%028150955.21%27949256.71%10719554.87%14810214047814057.1%12.8%91.6%104.4LUCKY
_Since Last GM Reset13620112143358200.76943711140012161244391581351293242212882307351234.29%34585.29%128150955.21%27949256.71%10719554.87%3332312881001799050.8%9.8%91.7%101.5LUCKY
Total13620112143358200.76943711140012161244391581351293242212882307351234.29%34585.29%128150955.21%27949256.71%10719554.87%3332312881001799050.8%9.8%91.7%101.5LUCKY

Puck Time
Offensive Zone 25
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 509
Neutral Zone Start 195
Defensive Zone Start 492
Puck Time
With Puck 32
Without Puck 29
Faceoffs
Faceoffs Won 667
Faceoffs Lost 529
Team Average Shots after League Average Shots after
1st Period 12.210.69
2nd Period 22.521.35
3rd Period 32.532.03
Overtime 34.932.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.91.08
2nd Period 2.22.13
3rd Period 3.12.97
Overtime 3.43.07
Even Strenght Goal 30
PP Goal 12
PK Goal 1
Empty Net Goal 0
Home Away
Win 63
Lost 11
Overtime Lost 02
PP Attempt 35
PP Goal 12
PK Attempt 34
PK Goal Against 5
Home
Shots For 33.8
Shots Against 32.5
Goals For 3.3
Goals Against 2.7
Hits 23.6
Shots Blocked 9.8
Pim 6.3