Los Angeles Kings
28-38-2, 58pts · 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 RW68203555410015222571369.01%817.39381114600013130.49%8200000.9312
2Brayden Point Kings C/RW68242852-52022296832038.11%918.44671316000003052.16%101800000.8312
3Phillip Danault Kings C68112940-1415543191501235.76%1918.90212141490001490158.14%151700000.6200
4Max Domi Kings C/LW68142438719568119297111.76%818.36134105000205044.55%11000100.6100
5Jamie Benn Kings C/LW68132437-85210140164431387.93%1017.89347137000412054.87%72900000.6100
6Michael Anderson Kings D6882735-142012610229687.84%8922.0171815500015110-%000000.4700
7Shane Wright Kings C679263562003510537918.57%513.59268125000450054.22%106600000.7701
8Michael Bunting Kings LW/RW68141832-2240110148371099.46%517.6120213200032029.00%10000000.5322
9Alex Pietrangelo Kings D6832932-11415578824503.41%11622.470661490007800-%000000.4200
10Matt Roy Kings D6391726-1553514770224012.86%8421.5854913200012200-%000000.3800
11Yanni Gourde Kings C/LW/RW68121022-657513913929758.63%1016.6500051011291058.23%7900000.3900
12Lucas Carlsson Kings D6831619-2240625516245.45%12119.630221900014900-%000000.2800
13Viktor Arvidsson Kings LW/RW687916-1310022123321165.69%514.920226200001128.13%6400000.3200
14Jordan Oesterle Kings D684111541002224121616.67%549.770001000701-%000000.4500
15Philippe Myers Kings D4548122220672982513.79%3013.22000100091011.11%900000.4000
16Keaton Middleton Kings D65661235351012952020.69%6915.55000000012910-%000000.2400
17Andrew Copp Kings C/LW68538-500643143311.63%78.62000210111591056.07%60100000.2700
18Justin Kirkland Kings LW66325080333312229.09%37.5600000001482146.88%3200000.2011
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'équipe1223169327496-58468401227199754513748.46%65816.163155861519112136123553.86%542900100.5058
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 58242720.9132.8032318315117410130.44495113471
2Connor Ingram Kings 122600.8874.164330030265000-01039101
3Jet Greaves Kings 92500.8972.814270120195000-0716100
Moyenne d'équipe79283820.9092.9540928420122010130.44496868672
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
1SabresSabres110000008428162400233059222017029154940210127023071352239759310851.0000.00%50.00%55.05%56.40%54.65%251820713772.7%13.6%86.2%99.8FUN
2BruinsBruins110000005325813003020251087032361431310127023071352239759310851.00033.33%66.67%55.05%56.40%54.65%211525812566.7%20.0%90.6%110.6FUN
3PredatorsPredators10100000140123000010261011504316102930510127023071352239759310850.0000.00%80.00%55.05%56.40%54.65%211425713625.0%3.8%90.7%94.5Unlucky
4Red WingsRed Wings100001002312460020004471423018361840300127023071352239759310850.5000.00%100.00%55.05%56.40%54.65%261818714840.0%4.5%83.3%87.9Unlucky
5JetsJets403010009172915240034111143942294151553988711420127023071352239759310850.25014.29%85.71%55.05%56.40%54.65%794910831532434.8%7.9%88.7%96.6Unlucky
6HurricanesHurricanes21100000222246000110581721200641584350410127023071352239759310850.5000.00%75.00%55.05%56.40%54.65%45304815251266.7%3.4%96.9%100.3DULL
7CapitalsCapitals110000002022460111003410141002340710000127023071352239759310851.0000.00%0.00%55.05%56.40%54.65%2518207137100.0%5.9%100.0%105.9DULL
8CanadiensCanadiens101000004704812003010301281004210162510720127023071352239759310850.0000.00%71.43%55.05%56.40%54.65%191326713644.4%13.3%83.3%96.7FUN
9LightningLightning10100000020000000000301389023341850210127023071352239759310850.0000.00%50.00%55.05%56.40%54.65%26181871480.0%0.0%91.3%91.3DULL
10SharksSharks541000001868183048017560184565375012549221011151010127023071352239759310850.80045.45%90.00%55.05%56.40%54.65%1248711036653372.2%9.8%95.2%105.0LUCKY
11Black HawksBlack Hawks110000004124711001210281297021461621300127023071352239759310851.00050.00%100.00%55.05%56.40%54.65%231523713675.0%14.3%95.2%109.5LUCKY
12AvalancheAvalanche42200000107410182801424011837443701413538681101820127023071352239759310850.5000.00%88.89%55.05%56.40%54.65%89609829522666.7%8.5%95.0%103.5DULL
13DucksDucks2020000037035800111047112214070252637611110127023071352239759310850.00016.67%90.91%55.05%56.40%54.65%40255315251125.0%6.4%90.0%96.4Unlucky
14OilersOilers3030000061406915002220983233330104302451801230127023071352239759310850.0000.00%75.00%55.05%56.40%54.65%72496722401935.3%6.1%86.5%92.7Unlucky
15SenateursSenateurs10100000250246000110411118120281062931310127023071352239759310850.00033.33%66.67%55.05%56.40%54.65%231622713620.0%4.9%82.1%87.0Unlucky
16Maple LeafsMaple Leafs11000000322369001110401012180291221562100127023071352239759310851.00033.33%100.00%55.05%56.40%54.65%241622713633.3%7.5%93.1%100.6DULL
17CanucksCanucks514000001117211193010632014541594501724233891421440127023071352239759310850.20014.29%71.43%55.05%56.40%54.65%1107312536643140.9%7.6%90.1%97.7Unlucky
18WildWild404000007140711181012401103829430120271264113510127023071352239759310850.00027.27%80.00%55.05%56.40%54.65%95669229512623.5%6.4%88.3%94.7Unlucky
19BluesBlues42200000141541425390053601063241330172525077511640127023071352239759310850.50020.00%75.00%55.05%56.40%54.65%845710530502354.2%13.2%91.3%104.5LUCKY
20Golden KnightsGolden Knights531010001813818314900665117152516441665725781201020127023071352239759310850.8000.00%80.00%55.05%56.40%54.65%1228711736643162.1%10.5%92.2%102.7LUCKY
21StarsStars3200001016561628440084341043831346813224481121101127023071352239759310851.00018.18%100.00%55.05%56.40%54.65%77536623412073.7%15.4%93.8%109.2LUCKY
22FlamesFlames5140000012192122234003360142374758016851351081211470127023071352239759310850.2008.33%50.00%55.05%56.40%54.65%1107512536633147.8%8.5%88.7%97.1Unlucky
23DevilsDevils1010000023024600200035121310026181710400127023071352239759310850.0000.00%100.00%55.05%56.40%54.65%251619714740.0%5.7%88.5%94.2Unlucky
24PanthersPanthers10100000010000000000271665028921820100127023071352239759310850.0000.00%100.00%55.05%56.40%54.65%24162161360.0%0.0%96.4%96.4DULL
25IslandersIslanders101000001201120000102871380328342240500127023071352239759310850.0000.00%100.00%55.05%56.40%54.65%241622813633.3%3.6%93.8%97.3DULL
26PenguinsPenguins20101000672612181030215930161216129103551400127023071352239759310850.50020.00%100.00%55.05%56.40%54.65%46324914251241.7%10.2%88.5%98.7FUN
27KrakenKraken7230011021247213758018483230697388423566281552181320127023071352239759310850.50038.10%84.62%55.05%56.40%54.65%16411517250904437.1%9.1%89.8%98.9FUN
_Vs Division32111801110891002789153242123324304101729833837781040320193619841784200127023071352239759310850.42220.24%76.19%55.05%56.40%54.65%74551477223641420447.4%8.8%90.4%99.1Unlucky
_Vs Conference53183002120150163451502594092355415091623504545565181769541372100913425156301127023071352239759310850.42518.66%80.77%55.05%56.40%54.65%1216833129139669033848.4%9.2%90.8%100.0FUN
_Since Last GM Reset682338032201872045818733051734724862102133681716726192204663478127917830195371127023071352239759310850.42616.85%81.03%55.05%56.40%54.65%15781082162950889344048.5%8.8%90.7%99.5Unlucky
Total682338032201872045818733051734724862102133681716726192204663478127917830195371127023071352239759310850.42616.85%81.03%55.05%56.40%54.65%15781082162950889344048.5%8.8%90.7%99.5Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 2307
Neutral Zone Start 1085
Defensive Zone Start 2397
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 3215
Faceoffs Lost 2574
Team Average Shots after League Average Shots after
1st Period 10.09.57
2nd Period 20.520.31
3rd Period 31.230.68
Overtime 31.531.4
Goals in Team Average Goals after League Average Goals after
1st Period10.09.57
2nd Period20.520.31
3rd Period31.230.68
Overtime31.531.4
Even Strength Goal153
PP Goal30
PK Goal1
Empty Net Goal3
Home Away
Win 1513
Lost 1622
Overtime Lost 20
Win1513
Lost1622
Overtime Lost20
Home
Shots For31.4
Shots Against32.4
Goals For2.8
Goals Against3.0
Hits18.8
Shots Blocked9.8
Pim7.0