Los Angeles Kings
41-30-6, 88pts · 7th in Ouest
STATISTIQUE
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Brayden PointKingsKingsC/RW7736488418603733110627310.88%719.526121823200027450.05%197000011.1200
2Alex PietrangeloKingsKingsD77155267420068127368611.81%13422.937916224000139200.00%000100.7600
3David PerronKingsKingsLW/RW77243054124001551994815312.06%918.14291119300023235.00%12000200.7700
4Gustav NyquistKingsKingsC68173653288037174641679.77%717.152911125000355132.73%16500100.9101
5Patrick KaneKingsKingsRW77252853134047305991818.20%919.05571221800001128.45%11600000.7212
6Jamie BennKingsKingsC/LW77213152551251231985413810.61%1417.943811207000184059.11%139900000.7500
7Gabriel VilardiKingsKingsC7022285084038254691518.66%318.483121519800004135.53%53200010.7700
8Alex Vlasic (R)KingsKingsD7717274415543081117368514.53%14023.48617141000152310.00%000100.4900
9Matt RoyKingsKingsD7712314396915196119395410.08%13123.307411219000126100.00%000000.4800
10Jonathan DrouinKingsKingsLW76192039-7100381905613410.00%315.911235300002334.57%8100000.6500
11Michael AndersonKingsKingsD77729361244014710038827.00%10120.4645922400082110.00%000000.4600
12Yanni GourdeKingsKingsC/LW/RW77132235-44525127142541169.15%2415.2800030001291152.73%143000000.6001
13Andrew CoppKingsKingsC/LW77121628-6001514241898.45%1211.7100090001445055.10%67700000.6200
14Jordan HarrisKingsKingsD7052025-22408150203210.00%8218.591348900069100.00%000000.3800
15Max PaciorettyKingsKingsLW68613199801029636606.25%415.3205519700002032.54%12600000.3600
16Mason Lohrei (R)KingsKingsD76189-616070227214.55%5511.8000060008000.00%000000.2000
17Cal ClutterbuckKingsKingsRW77257120322061110.00%114.0100070001421028.57%3500000.4500
18Rafael Harvey-PinardKingsKingsLW72167-580235615371.79%88.52000120001240030.36%5600000.2301
19Jordan OesterleKingsKingsD7123220542325.00%513.4800000000000.00%000000.6400
20Philippe MyersKingsMonarchs (LAK)D100020010000.00%116.6800000000000.00%000000.0000
21Jujhar KhairaKingsKingsC/LW27000-20052120.00%11.79000000014000.00%000000.0000
Moyenne d'équipe1382256452708106415951428264882718759.67%76116.47478613323650001194431550.01%670700520.6215
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Connor IngramKingsKings48291430.9122.71276312212514220320.5002471441
2Elvis MerzlikinsKingsMonarchs (LAK)198920.8953.33100922565310100.0000190211
3Adin HillKingsMonarchs (LAK)114510.8953.5257941343250000.3333110200
4Jet GreavesKingsKings90200.9232.3428200111430100.0000076000
Moyenne d'équipe 874130 6 0.9072.93463518522624210520.40057777852
Astuces sur les Filtres (Anglais seulement)
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 Équipe 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
1SabresSabres1100000050521.000591401311036161640174618500.00%30100.00%01426276651.55%1283260949.18%615121750.53%2516217136100.0%13.9%100.0%113.9LUCKY
2BruinsBruins1010000015-400.00012300001043198160236024400.00%000.00%01426276651.55%1283260949.18%615121750.53%292219511616.7%2.3%78.3%80.6Unlucky
3PredatorsPredators201010001011-120.50010162600441194263134384178466233.33%4175.00%01426276651.55%1283260949.18%615121750.53%50354315271444.4%10.6%86.9%97.5FUN
4Red WingsRed Wings1000100032121.00036900200140151492324626300.00%30100.00%01426276651.55%1283260949.18%615121750.53%272021712660.0%7.5%93.8%101.3DULL
5JetsJets43000001157870.87515254000546015363463891064626801000.00%80100.00%01426276651.55%1283260949.18%615121750.53%100719328502568.2%9.8%93.4%103.2LUCKY
6HurricanesHurricanes2110000055020.5005101500221070292219062208339111.11%4250.00%01426276651.55%1283260949.18%615121750.53%48354814231157.1%7.1%91.9%99.1DULL
7CapitalsCapitals1000010023-110.50024600101026136702516212000.00%110.00%01426276651.55%1283260949.18%615121750.53%241723713650.0%7.7%88.0%95.7Unlucky
8CanadiensCanadiens1100000052321.000510150021204513211101572168337.50%10100.00%01426276651.55%1283260949.18%615121750.53%282119612650.0%11.1%86.7%97.8FUN
9LightningLightning1010000026-400.000246000200269611034138233133.33%3166.67%01426276651.55%1283260949.18%615121750.53%211425713616.7%7.7%82.4%90.0Unlucky
10FlyersFlyers1100000021121.000224000110411691603142215120.00%10100.00%01426276651.55%1283260949.18%615121750.53%241722712650.0%4.9%96.8%101.7DULL
11SharksSharks522010001414060.600142438111661168456062113855269214321.43%13469.23%01426276651.55%1283260949.18%615121750.53%1208411536643152.4%8.3%89.9%98.2Unlucky
12Black HawksBlack Hawks430010001710781.00017304701646114542495131634528866116.67%140100.00%01426276651.55%1283260949.18%615121750.53%94659728522561.5%11.7%93.9%105.6LUCKY
13AvalancheAvalanche421010001410460.750142438006431141513356113742357916425.00%130100.00%01426276651.55%1283260949.18%615121750.53%92639530522550.0%9.9%92.7%102.6LUCKY
14DucksDucks2010010035-210.25036900201063262215070221638700.00%330.00%01426276651.55%1283260949.18%615121750.53%52384214251260.0%4.8%92.9%97.6DULL
15OilersOilers522010001916360.600193655101062119169566331795330981417.14%14471.43%01426276651.55%1283260949.18%615121750.53%1158212335623060.0%9.9%91.1%101.0Unlucky
16SenateursSenateurs1100000050521.0005813015000331481102390213133.33%000.00%01426276651.55%1283260949.18%615121750.53%2518227126100.0%15.2%100.0%115.2LUCKY
17Maple LeafsMaple Leafs1010000001-100.00000000000026147503014422300.00%20100.00%01426276651.55%1283260949.18%615121750.53%18112871350.0%0.0%96.7%96.7DULL
18CanucksCanucks541000002016480.800203353007670185635963014944318622627.27%80100.00%01426276651.55%1283260949.18%615121750.53%1248811135643046.7%10.8%89.3%100.1FUN
19WildWild412001001213-130.375122032005340148643549011623427015213.33%10370.00%01426276651.55%1283260949.18%615121750.53%102728729502550.0%8.1%88.8%96.9Unlucky
20BluesBlues41300000915-620.2509172600423011537423601344316789222.22%8275.00%01426276651.55%1283260949.18%615121750.53%91639727512535.0%7.8%88.8%96.6Unlucky
21Golden KnightsGolden Knights54100000189980.800183351007470166644458012231188921523.81%8275.00%01426276651.55%1283260949.18%615121750.53%1248711237633165.0%10.8%92.6%103.5LUCKY
22StarsStars431000001610660.7501629450163701545654440119521074500.00%50100.00%01426276651.55%1283260949.18%615121750.53%96709428492461.5%10.4%91.6%102.0LUCKY
23FlamesFlames523000001815340.400183351007740172705151017452328720735.00%6266.67%01426276651.55%1283260949.18%615121750.53%1208511536633345.8%10.5%91.4%101.8LUCKY
24DevilsDevils1010000023-100.000246001100341115802715217200.00%110.00%01426276651.55%1283260949.18%615121750.53%261920512650.0%5.9%88.9%94.8Unlucky
25PanthersPanthers1000100032121.000347002001301061222315419200.00%20100.00%01426276651.55%1283260949.18%615121750.53%211527712560.0%10.0%91.3%101.3LUCKY
26IslandersIslanders1010000025-300.00022400101029911902361520500.00%6350.00%01426276651.55%1283260949.18%615121750.53%231423813750.0%6.9%78.3%85.2Unlucky
27PenguinsPenguins3110010099030.50091423003420111323939110521215817211.76%7271.43%01426276651.55%1283260949.18%615121750.53%73516922371850.0%8.1%91.4%99.5DULL
28KrakenKraken715000012535-1030.2142545700098812327778737262894912325416.00%20670.00%01426276651.55%1283260949.18%615121750.53%16611517050874442.0%10.8%86.6%97.4FUN
_Vs Division341515021011171107360.52911721032721433735311774143703851110943462026131232621.14%722170.83%01426276651.55%1283260949.18%615121750.53%82458279124643021550.6%9.9%89.9%99.9FUN
_Vs Conference6028230520221018624700.583210371581237961656212775366069327195361436711261903719.47%1342779.85%01426276651.55%1283260949.18%615121750.53%14521025140043476538252.1%9.9%90.5%100.3FUN
_Since Last GM Reset7734300740225623026880.5712564507062510173758271797384887032242376844714562594617.76%1683777.98%01426276651.55%1283260949.18%615121750.53%18701321179455797948852.1%9.4%90.5%99.9FUN
Total7734300740225623026880.5712564507062510173758271797384887032242376844714562594617.76%1683777.98%01426276651.55%1283260949.18%615121750.53%18701321179455797948852.1%9.4%90.5%99.9FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2766
Neutral Zone Start 1217
Defensive Zone Start 2609
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 3324
Faceoffs Lost 3268
Team Average Shots after League Average Shots after
1st Period 12.69.57
2nd Period 23.620.31
3rd Period 34.930.68
Overtime 35.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.30.64
2nd Period 2.31.65
3rd Period 3.22.67
Overtime 3.32.83
Even Strenght Goal 208
PP Goal 46
PK Goal 0
Empty Net Goal 2
Home Away
Win 1724
Lost 1911
Overtime Lost 33
PP Attempt 259
PP Goal 46
PK Attempt 168
PK Goal Against 37
Home
Shots For 35.3
Shots Against 31.5
Goals For 3.3
Goals Against 3.0
Hits 18.9
Shots Blocked 10.0
Pim 5.8