Golden KnightsVegas Golden Knights
11-6-0, 22pts · 1st in Western Conference
Player Stats
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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# 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 Knights9C171011216201383175212.05%425.:.38213000535147.15%61500000.9600
2William NylanderGolden KnightsGolden Knights0LW/RW1751217400189827755.10%324.:.1003300001045.16%3100000.8300
3Kyle PalmieriGolden KnightsGolden Knights0RW1751015680185512379.09%019.:.2125700001048.39%3100000.9100
4Ryan Nugent-HopkinsGolden KnightsGolden Knights0C/LW1567133401854145611.11%122.:.54123000442147.65%48900000.7600
5Adrian KempeGolden KnightsGolden Knights9C/LW/RW1457124804550214210.00%225.:.1102200071048.28%2900000.6800
6Erik KarlssonGolden KnightsGolden Knights65D1711112-1807246124.17%1427.:.1014500027000.00%000000.5200
7Cam FowlerGolden KnightsGolden Knights4D17471140043071613.33%2423.:.114150000010.00%000000.5600
8Jonathan MarchessaultGolden KnightsGolden Knights0LW/RW1755106120346019288.33%020.:.1313400000052.17%2300000.5800
9Nick PaulGolden KnightsGolden Knights0C/LW172463607285227.14%211.:.4212300001047.21%19700000.6000
10Radko GudasGolden KnightsGolden Knights0D17235421572113718.18%3022.:.2900000048010.00%000000.2600
11Bobby McMannGolden KnightsGolden Knights22LW17325-42025319189.68%013.:.57011000110030.43%2300000.4200
12Brayden McNabbGolden KnightsGolden Knights0D17145-12604820685.00%3023.:.5300000045000.00%000000.2500
13Brady SkjeiGolden KnightsGolden Knights55D17123-1203165116.25%2318.:.4410100051000.00%000000.1900
14Isac LundestromGolden KnightsGolden Knights21C/RW17033-40010217180.00%314.:.29000000520045.61%5700000.2400
15Max PaciorettyGolden KnightsGolden Knights67LW17011-42089080.00%205.:.1200000000020.00%500000.2300
16Luke KuninGolden KnightsGolden Knights11C/LW/RW17000-716022193180.00%613.:.01000000430039.90%20800000.0000
17Simon BenoitGolden KnightsGolden Knights2D17000-12010406340.00%1814.:.2100000046000.00%000000.0000
18Vasily PodkolzinGolden KnightsGolden Knights0LW/RW17000-4401082100.00%105.:.5700000000055.56%900000.0000
19Nikolai KovalenkoGolden KnightsSilver Knights (VGK)0RW5000-30002110.00%004.:.020000000000.00%000000.0000
Team Total or Average301508913913141154026231664428.03%16318:1913243700043211446.19%171700000.5000
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 Knights17115093.3%2.11110842395800000.0%0170500
2Alex NedeljkovicGolden KnightsGolden Knights101075.0%5.712100280000.0%0017000
Team Total or Average18116093.0%2.18112942415880000.00001717500
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 KnightsWild633000001414060.50014253900345222050597140256744615126623.08%22290.91%032469646.55%33471146.98%13531043.55%16711417455974740.0%6.4%94.5%100.9DULL
2Golden KnightsKings44000000139481.0001324370033611643358532012633428117211.76%15286.67%032469646.55%33471146.98%13531043.55%1077310434613061.1%7.9%92.9%100.8DULL
3Golden KnightsMammoth743000002318580.5712340630259902416897760206565717020525.00%25292.00%032469646.55%33471146.98%13531043.55%16811415952924552.9%9.5%91.3%100.8LUCKY
_Vs Division44000000139481.0001324370033611643358532012633428117211.76%15286.67%032469646.55%33471146.98%13531043.55%1077310434613061.1%7.9%92.9%100.8DULL
_Vs Conference171160000050419220.647508913902111620362515121420060588163145402631320.63%62690.32%032469646.55%33471146.98%13531043.55%44330143714325012351.4%8.0%93.0%101.0DULL
_Since Last GM Reset171160000050419220.647508913902111620362515121420060588163145402631320.63%62690.32%032469646.55%33471146.98%13531043.55%44330143714325012351.4%8.0%93.0%101.0DULL
Total171160000050419220.647508913902111620362515121420060588163145402631320.63%62690.32%032469646.55%33471146.98%13531043.55%44330143714325012351.4%8.0%93.0%101.0DULL

Puck Time
Offensive Zone 26
Neutral Zone 14
Defensive Zone 25
Puck Time
Offensive Zone Start 696
Neutral Zone Start 310
Defensive Zone Start 711
Puck Time
With Puck 33
Without Puck 33
Faceoffs
Faceoffs Won 793
Faceoffs Lost 924
Team Average Shots after League Average Shots after
1st Period 8.910.69
2nd Period 21.521.35
3rd Period 33.232.03
Overtime 36.832.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.61.08
2nd Period 1.62.13
3rd Period 2.82.97
Overtime 2.93.07
Even Strenght Goal 37
PP Goal 13
PK Goal 0
Empty Net Goal 0
Home Away
Win 65
Lost 33
Overtime Lost 00
PP Attempt 63
PP Goal 13
PK Attempt 62
PK Goal Against 6
Home
Shots For 36.8
Shots Against 34.6
Goals For 2.9
Goals Against 2.4
Hits 23.6
Shots Blocked 9.6
Pim 8.5