Los Angeles Kings
25-36-2, 52pts · 11th in Ouest
STATISTIQUE
Astuces sur les Filtres
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
1Patrick Kane Kings RW63183452210013209541298.61%717.45381113800013130.67%7500000.9512
2Brayden Point Kings C/RW63192443-62020274781886.93%718.55471115300002052.79%93200000.7412
3Max Domi Kings C/LW63132336919565105266212.38%818.3413499000164043.69%10300100.6200
4Phillip Danault Kings C63112435-1415541173471166.36%1618.81210121410001320157.92%139500000.5900
5Jamie Benn Kings C/LW63122234-74810135153371297.84%1017.86347130000342054.46%61700000.6000
6Michael Anderson Kings D6382533-23801119325648.60%8122.0471814700013010-%000000.4800
7Shane Wright Kings C62922315180289633839.38%513.27268125000450053.98%104300000.7501
8Alex Pietrangelo Kings D6332629-11395568222493.66%11122.620551410007000-%000000.4100
9Michael Bunting Kings LW/RW63131528-122010214034979.29%517.6320212600022026.09%9200000.5022
10Matt Roy Kings D5891625-1451512963203714.29%7521.5553812600010500-%000000.4000
11Yanni Gourde Kings C/LW/RW6312820-545512613428718.96%716.6100041011181060.56%7100000.3800
12Lucas Carlsson Kings D6321517-2220594915224.08%11219.620221800012900-%000000.2800
13Viktor Arvidsson Kings LW/RW634913-1210022115291083.48%414.940226100000127.87%6100000.2800
14Philippe Myers Kings D4047110200612882314.29%2614.36000100081011.11%900000.3800
15Jordan Oesterle Kings D63291151002120121310.00%479.260001000600-%000000.3800
16Keaton Middleton Kings D6056115395942551620.00%6715.60000000011610-%000000.2400
17Andrew Copp Kings C/LW63538-500642133111.90%58.62000170111391055.38%56700000.2900
18Justin Kirkland Kings LW61314080303112229.68%37.5800000001292150.00%3000000.1711
19Mason Lohrei Monarchs (LAK) D5033-34054020.00%422.62000110001400-%000000.5300
20Gustav Nyquist Monarchs (LAK) C130222004106100.00%07.19000000000057.14%2100000.4300
21Josh Dunne Monarchs (LAK) C80000000000-%00.000000000000-%00000-00
22Brett Murray Monarchs (LAK) LW7000-12033020.00%25.340000000000100.00%100000.0000
Moyenne d'équipe1133152294446-55422401131184950412748.22%60216.152951801448112120220453.70%501700100.4958
Astuces sur les Filtres
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
1Adin Hill Kings 53212520.9152.7029586313315670130.44494613461
2Connor Ingram Monarchs (LAK) 112600.8844.314040029251000-01034101
3Jet Greaves Kings 92500.8972.814270120195000-0716100
Moyenne d'équipe73253620.9102.8837906418220130130.44496363662
Astuces sur les Filtres
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
1SabresSabres110000008428162400233059222017029154940210119221711242220555110041.0000.00%50.00%54.91%56.33%54.88%251820713772.7%13.6%86.2%99.8FUN
2BruinsBruins110000005325813003020251087032361431310119221711242220555110041.00033.33%66.67%54.91%56.33%54.88%211525812566.7%20.0%90.6%110.6FUN
3PredatorsPredators10100000140123000010261011504316102930510119221711242220555110040.0000.00%80.00%54.91%56.33%54.88%211425713625.0%3.8%90.7%94.5Unlucky
4Red WingsRed Wings100001002312460020004471423018361840300119221711242220555110040.5000.00%100.00%54.91%56.33%54.88%261818714840.0%4.5%83.3%87.9Unlucky
5JetsJets403010009172915240034111143942294151553988711420119221711242220555110040.25014.29%85.71%54.91%56.33%54.88%794910831532434.8%7.9%88.7%96.6Unlucky
6HurricanesHurricanes21100000222246000110581721200641584350410119221711242220555110040.5000.00%75.00%54.91%56.33%54.88%45304815251266.7%3.4%96.9%100.3DULL
7CapitalsCapitals110000002022460111003410141002340710000119221711242220555110041.0000.00%0.00%54.91%56.33%54.88%2518207137100.0%5.9%100.0%105.9DULL
8LightningLightning10100000020000000000301389023341850210119221711242220555110040.0000.00%50.00%54.91%56.33%54.88%26181871480.0%0.0%91.3%91.3DULL
9SharksSharks541000001868183048017560184565375012549221011151010119221711242220555110040.80045.45%90.00%54.91%56.33%54.88%1248711036653372.2%9.8%95.2%105.0LUCKY
10Black HawksBlack Hawks110000004124711001210281297021461621300119221711242220555110041.00050.00%100.00%54.91%56.33%54.88%231523713675.0%14.3%95.2%109.5LUCKY
11AvalancheAvalanche42200000107410182801424011837443701413538681101820119221711242220555110040.5000.00%88.89%54.91%56.33%54.88%89609829522666.7%8.5%95.0%103.5DULL
12DucksDucks2020000037035800111047112214070252637611110119221711242220555110040.00016.67%90.91%54.91%56.33%54.88%40255315251125.0%6.4%90.0%96.4Unlucky
13OilersOilers3030000061406915002220983233330104302451801230119221711242220555110040.0000.00%75.00%54.91%56.33%54.88%72496722401935.3%6.1%86.5%92.7Unlucky
14SenateursSenateurs10100000250246000110411118120281062931310119221711242220555110040.00033.33%66.67%54.91%56.33%54.88%231622713620.0%4.9%82.1%87.0Unlucky
15Maple LeafsMaple Leafs11000000322369001110401012180291221562100119221711242220555110041.00033.33%100.00%54.91%56.33%54.88%241622713633.3%7.5%93.1%100.6DULL
16CanucksCanucks413000009132915241052201193443420132302370121930119221711242220555110040.2508.33%66.67%54.91%56.33%54.88%90609729512444.4%7.6%90.2%97.7Unlucky
17WildWild404000007140711181012401103829430120271264113510119221711242220555110040.00027.27%80.00%54.91%56.33%54.88%95669229512623.5%6.4%88.3%94.7Unlucky
18BluesBlues3120000011132111930004250792036230128373858411030119221711242220555110040.33325.00%70.00%54.91%56.33%54.88%63427723381850.0%13.9%89.8%103.8FUN
19Golden KnightsGolden Knights42101000141061424380054411394441504135492166100820119221711242220555110040.7500.00%75.00%54.91%56.33%54.88%97699629512563.6%10.1%92.6%102.7LUCKY
20StarsStars3200001016561628440084341043831346813224481121101119221711242220555110041.00018.18%100.00%54.91%56.33%54.88%77536623412073.7%15.4%93.8%109.2LUCKY
21FlamesFlames5140000012192122234003360142374758016851351081211470119221711242220555110040.2008.33%50.00%54.91%56.33%54.88%1107512536633147.8%8.5%88.7%97.1Unlucky
22DevilsDevils1010000023024600200035121310026181710400119221711242220555110040.0000.00%100.00%54.91%56.33%54.88%251619714740.0%5.7%88.5%94.2Unlucky
23PanthersPanthers10100000010000000000271665028921820100119221711242220555110040.0000.00%100.00%54.91%56.33%54.88%24162161360.0%0.0%96.4%96.4DULL
24IslandersIslanders101000001201120000102871380328342240500119221711242220555110040.0000.00%100.00%54.91%56.33%54.88%241622813633.3%3.6%93.8%97.3DULL
25PenguinsPenguins101000002402461000202613760301841430100119221711242220555110040.0000.00%100.00%54.91%56.33%54.88%241723612633.3%7.7%86.7%94.4Unlucky
26KrakenKraken7230011021247213758018483230697388423566281552181320119221711242220555110040.50038.10%84.62%54.91%56.33%54.88%16411517250904437.1%9.1%89.8%98.9FUN
_Vs Division30101701110839325831422251231212949592833123608969300179588801677190119221711242220555110040.41720.00%75.32%54.91%56.33%54.88%70048472322138819147.5%8.7%90.4%99.1Unlucky
_Vs Conference5016290212014115441141242383235237489153847751453818165450634695912924143281119221711242220555110040.41018.60%80.42%54.91%56.33%54.88%1150787121537465331948.1%9.2%90.7%99.9FUN
_Since Last GM Reset63213602220170185521702974673463445991985625668683182016607430118317028172331119221711242220555110040.41316.47%80.81%54.91%56.33%54.88%14701008150047182941048.3%8.6%90.8%99.4Unlucky
Total63213602220170185521702974673463445991985625668683182016607430118317028172331119221711242220555110040.41316.47%80.81%54.91%56.33%54.88%14701008150047182941048.3%8.6%90.8%99.4Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 2171
Neutral Zone Start 1004
Defensive Zone Start 2205
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2985
Faceoffs Lost 2395
Team Average Shots after League Average Shots after
1st Period 9.99.57
2nd Period 20.520.31
3rd Period 31.430.68
Overtime 31.731.4
Goals in Team Average Goals after League Average Goals after
1st Period9.99.57
2nd Period20.520.31
3rd Period31.430.68
Overtime31.731.4
Even Strength Goal138
PP Goal28
PK Goal1
Empty Net Goal3
Home Away
Win 1312
Lost 1521
Overtime Lost 20
Win1312
Lost1521
Overtime Lost20
Home
Shots For31.5
Shots Against32.0
Goals For2.7
Goals Against2.9
Hits18.8
Shots Blocked9.6
Pim6.8