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Los Angeles Kings
GP: 12 | W: 9 | L: 3 | OTL: 0 | P: 25
GF: 38 | GA: 29 | PP%: 13.33% | PK%: 88.24%
DG: Nick | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #171 vs Winnipeg Jets

Centre de jeu
St Louis Blues
7-4-1, 21pts
3
2 Los Angeles Kings
9-3-0, 25pts
Team Stats
W3SéquenceW1
4-3-1Fiche domicile4-3-0
3-1-0Fiche visiteur5-0-0
6-4-0Derniers 10 matchs7-3-0
3.08Buts par match 3.17
2.75Buts contre par match 2.42
18.87%Pourcentage en avantage numérique13.33%
82.50%Pourcentage en désavantage numérique88.24%
Los Angeles Kings
9-3-0, 25pts
4
3 Detroit Red Wings
5-5-2, 17pts
Team Stats
W1SéquenceSOL1
4-3-0Fiche domicile3-2-2
5-0-0Fiche visiteur2-3-0
7-3-0Derniers 10 matchs4-4-2
3.17Buts par match 2.33
2.42Buts contre par match 2.92
13.33%Pourcentage en avantage numérique16.67%
88.24%Pourcentage en désavantage numérique77.08%
Los Angeles Kings
9-3-0, 25pts
Jour 28
Winnipeg Jets
7-4-1, 21pts
Statistiques d’équipe
W1SéquenceW2
4-3-0Fiche domicile3-2-1
5-0-0Fiche visiteur4-2-0
7-3-010 derniers matchs7-2-1
3.17Buts par match 3.00
2.42Buts contre par match 3.00
13.33%Pourcentage en avantage numérique11.67%
88.24%Pourcentage en désavantage numérique76.19%
Colorado Avalanche
9-2-0, 27pts
Jour 32
Los Angeles Kings
9-3-0, 25pts
Statistiques d’équipe
W4SéquenceW1
3-2-0Fiche domicile4-3-0
6-0-0Fiche visiteur5-0-0
8-2-010 derniers matchs7-3-0
2.82Buts par match 3.17
2.18Buts contre par match 3.17
12.20%Pourcentage en avantage numérique13.33%
81.25%Pourcentage en désavantage numérique88.24%
Edmonton Oilers
5-4-2, 16pts
Jour 34
Los Angeles Kings
9-3-0, 25pts
Statistiques d’équipe
W1SéquenceW1
2-2-1Fiche domicile4-3-0
3-2-1Fiche visiteur5-0-0
4-4-210 derniers matchs7-3-0
2.82Buts par match 3.17
2.64Buts contre par match 3.17
24.32%Pourcentage en avantage numérique13.33%
87.10%Pourcentage en désavantage numérique88.24%
Meneurs d'équipe
Buts
Nikita Kucherov
7
Passes
Lucas Wallmark
9
Points
Lucas Wallmark
14
Plus/Moins
Sasha Chmelevski
6
Victoires
Joonas Korpisalo
9
Pourcentage d’arrêts
Joonas Korpisalo
0.914

Statistiques d’équipe
Buts pour
38
3.17 GFG
Tirs pour
385
32.08 Avg
Pourcentage en avantage numérique
13.3%
8 GF
Début de zone offensive
40.2%
Buts contre
29
2.42 GAA
Tirs contre
327
27.25 Avg
Pourcentage en désavantage numérique
88.2%%
4 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralNick
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomCrypto.com Arena
Capacité18,000
Assistance16,719
Billets de saison8,280


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 250
Espoirs44


Finance

Revenu annuel à ce jour8,323,580$
Dépenses annuelles à ce jour11,037,454$
Revenus de la saison estimés39,239,734$
Dépenses de la saison estimées67,853,862$
Compte bancaire actuel197,488,535$
Compte bancaire projeté168,461,649$


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 #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nikita Kucherov0X100.00664190955590909360949071918069554081032310,000,000$
2Tyler Seguin0X100.00664988917293968997888674838180554081N033210,000,000$
3Brayden Schenn0X100.0090509187709297828486866981817755407903328,800,000$
4Drake Batherson0X100.00935078847789918868878767857473554079N02723,300,000$
5Lucas Wallmark0X100.00843984956390908299908568827780554079N02935,000,000$
6Zemgus Girgensons0X100.0091558686809295759578797878807555407803123,548,500$
7Andrei Kuzmenko0X100.0053428788638795865481907086787455407702941,810,000$
8Charlie Coyle0X100.00835181738588877669758071718178554074N033110,000,000$
9Drake Caggiula0X100.009235768855808169717271657577725540710312625,000$
10Corban Knight0X100.005945807473808071817269646982785540690342555,000$
11Sasha Chmelevski0X100.006143838073788463636862746771765540690263500,000$
12Filip Hronek0X100.0091458595719497805383757776748055408002724,670,000$
13Colton Parayko0X100.0083548874999596745081668264809055407903215,005,000$
14Justin Faulk0X100.0089549186849597735077747874818955407903315,005,000$
15Will Butcher0X100.0061449090729291795290708371797955407803031,810,000$
16Drew Doughty0X100.0079498369839093695072677565838755407403511,010,000$
17John Ramage0X100.0051478167907274625065598357817855407003412,000,000$
18Hardy Haman Aktell0X100.006244777587637263506560716075695540680261505,000$
Rayé
1Andreas Johnsson0X63.8571468290628686846785907082796955407803031,810,000$
Équipe Mineure
1Dylan Guenther (R)0X99.0059398798688587875885907489657455407902221,750,000$
2Victor Rask0X100.0057437672758888708873697069807155407003211,071,427$
3Nikolay Goldobin0X100.005737848360797769627569687278615540690294625,000$
4Jean-Sebastien Dea0X100.005830828455767565826966677080695540680312625,000$
5Keegan Kolesar0X100.009764646289787862676663726177745540680281685,000$
6Mason Morelli0X100.008147856782717962626366706478855540680292555,556$
7Zach Boychuk0X100.008342817856747770677268617183645540680351550,000$
8Michael Eyssimont0X100.007745687665767660606365676677775540660282500,000$
9Sergey Kalinin0X100.008247756676787862786465626581715540660341565,000$
10Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
11Arber Xhekaj (R)0X99.009568516498778570507566786370785540740242600,000$
12Jake Dotchin0X100.0093526369898687755079677164807555407403121,784,000$
13Joel Edmundson0X100.0089566868967880665669627558807655407303231,010,000$
14Dylan McIlrath0X100.0092625361997878695070617559817755407203321,010,000$
15Jake Bischoff0X100.006747697885787869506564766579725540720303750,000$
16Andreas Englund0X100.008742778081727265506862676377725540700291500,000$
17Joel Hanley0X100.0053449176708281695072657363828155407003411,784,000$
18Joakim Nordstrom0X95.0069468377758282707772717073817255407103322,197,999$
19Austin Watson0X90.0979527869778174696672676767817355406903322,196,000$
20Mike Hoffman0X75.9458417877657878677069716769837355406903511,250,000$
21Sam Lafferty0X95.658955687178787463716665686479705540680303560,000$
22Tomas Tatar0X91.4270357879537880676468696470826555406803411,569,999$
MOYENNE D’ÉQUIPE97.80754779787582837265747171707975554073
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 #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joonas Korpisalo098.0081828584909091909089898070554084N03123,235,400$
2Jonathan Quick0100.006276778077818279778179917255407603911,364,999$
Rayé
Équipe Mineure
1Ivan Fedotov0100.008570739076767777777676776255407502812,456,789$
2Magnus Hellberg0100.00725662907275767474757481665840720342775,000$
3Joni Ortio099.008167708077798078787978836855407503411,050,000$
4Georgi Romanov0100.007765708871707173737071735655407002511,010,000$
MOYENNE D’ÉQUIPE99.5076697385777980797878788166564075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Lucas WallmarkLos Angeles KingsC125914-16017143291615.63%420817.35145346000002053.01%16697001.3400000120
2Nikita KucherovLos Angeles KingsLW127310-22091635111920.00%221818.194041255000001241.67%12114000.9212000200
3Andreas JohnssonLos Angeles KingsLW11189240115149177.14%218516.83123242011070066.67%932000.9700000001
4Andrei KuzmenkoLos Angeles KingsLW12538-20051646162310.87%421517.93101545101171033.33%9113000.7412000100
5Drake BathersonLos Angeles KingsRW122681802712289187.14%321517.96033456000000068.75%1654000.7412000100
6Tyler SeguinLos Angeles KingsC12358-1201218318139.68%423319.440224550112131055.91%27971000.6911000011
7Will ButcherLos Angeles KingsD1208842082418790%829424.57044560000222000%066000.5400000000
8Justin FaulkLos Angeles KingsD12336-112102121198815.79%1728523.75000039000230010%039000.4200200011
9Sasha ChmelevskiLos Angeles KingsLW1232560036121525.00%1826.8700001000001150.00%423001.2100000020
10Zemgus GirgensonsLos Angeles KingsC12325-3752426346268.82%319516.26000000001331051.98%22785000.5100100002
11Drake CaggiulaLos Angeles KingsRW122246201641541313.33%2887.400000000000010%022000.9000000100
12Brayden SchennLos Angeles KingsRW12213-220211024668.33%320817.36101230001320013.33%1569000.2900000001
13Charlie CoyleLos Angeles KingsRW12033-180171315790%417614.73000000000130040.00%515000.3400000000
14Colton ParaykoLos Angeles KingsD12033440231713750%1629524.59000041000033000%045000.2000000001
15Corban KnightLos Angeles KingsC1202252031311260%1877.3100001000030054.84%3101000.4600000000
16Drew DoughtyLos Angeles KingsD120221751178120%1214612.230000300008000%012000.2700100000
17Filip HronekLos Angeles KingsD12022-22553420231080%929624.74000461000016000%01111000.1300001000
18John RamageLos Angeles KingsD120110001107220%1113311.090000000001000%003000.1500000000
19Hardy Haman AktellLos Angeles KingsD1000000000000%011.650000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne21636651011493252632523851232059.35%106356816.52815234151512392277553.04%7739082000.5747401667
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
1Joonas KorpisaloLos Angeles Kings129300.9142.317280128326134110.7147120220
Statistiques d’équipe totales ou en moyenne129300.9142.317280128326134117120220


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 Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andreas Johnsson (sur la masse salariale)Los Angeles KingsLW301994-11-21SWENo195 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,810,000$1,559,681$0$0$No1,810,000$1,810,000$-------1,810,000$1,810,000$-------NoNo-------Lien
Andrei KuzmenkoLos Angeles KingsLW291996-02-04RUSNo194 Lbs5 ft11NoNoFree AgentNoNo42025-10-17FalseFalsePro & Farm1,810,000$1,559,681$0$0$No1,810,000$1,810,000$1,810,000$------1,810,000$1,810,000$1,810,000$------NoNoNo------Lien
Brayden Schenn (contrat à 1 volet)Los Angeles KingsRW331991-08-22CANNo201 Lbs6 ft1NoNoFree AgentNoNo22025-10-07FalseFalsePro & Farm8,800,000$7,582,979$0$0$No8,800,000$--------8,800,000$--------No--------Lien
Charlie Coyle (contrat à 1 volet)Los Angeles KingsRW331992-03-02USANo223 Lbs6 ft3YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only10,000,000$8,617,021$0$0$No---------------------------Lien
Colton Parayko (contrat à 1 volet)Los Angeles KingsD321993-05-12CANNo229 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,005,000$4,312,819$0$0$No---------------------------Lien
Corban KnightLos Angeles KingsC341990-09-10CANNo191 Lbs6 ft2NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm555,000$478,245$0$0$No555,000$--------555,000$--------No--------
Drake Batherson (contrat à 1 volet)Los Angeles KingsRW271998-04-27USANo205 Lbs6 ft3YesNoFree AgentNoNo22025-10-13FalseFalsePro Only3,300,000$2,843,617$0$0$No3,300,000$--------3,300,000$--------Yes--------Lien
Drake CaggiulaLos Angeles KingsRW311994-06-20CANNo176 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm625,000$538,564$0$0$No625,000$--------625,000$--------No--------Lien
Drew DoughtyLos Angeles KingsD351989-12-08CANNo209 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,010,000$870,319$0$0$No---------------------------Lien
Filip Hronek (contrat à 1 volet)Los Angeles KingsD271997-11-02CZENo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm4,670,000$4,024,149$0$0$No4,670,000$--------4,670,000$--------No--------Lien
Hardy Haman AktellLos Angeles KingsD261998-07-04SWENo198 Lbs6 ft4NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm505,000$435,160$0$0$No---------------------------Lien
John Ramage (contrat à 1 volet)Los Angeles KingsD341991-02-07CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,723,404$0$0$No---------------------------Lien
Jonathan Quick (contrat à 1 volet)Los Angeles KingsG391986-01-21USANo220 Lbs6 ft1NoNoTrade2025-12-18NoNo12025-10-20FalseFalsePro & Farm1,364,999$1,176,223$0$0$No---------------------------Lien
Joonas Korpisalo (contrat à 1 volet)Los Angeles KingsG311994-04-28FINNo192 Lbs6 ft3YesNoAssign ManuallyNoNo22025-09-30FalseFalsePro Only3,235,400$2,787,951$0$0$No3,235,400$--------3,235,400$--------Yes--------Lien
Justin Faulk (contrat à 1 volet)Los Angeles KingsD331992-03-20USANo216 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,005,000$4,312,819$0$0$No---------------------------Lien
Lucas Wallmark (contrat à 1 volet)Los Angeles KingsC291995-09-05SWENo178 Lbs6 ft0YesNoFree AgentNoNo32025-10-17FalseFalsePro Only5,000,000$4,308,511$0$0$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------YesYes-------Lien
Nikita Kucherov (contrat à 1 volet)Los Angeles KingsLW321993-06-17RUSNo183 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm10,000,000$8,617,021$0$0$No10,000,000$10,000,000$-------10,000,000$10,000,000$-------NoNo-------Lien
Sasha ChmelevskiLos Angeles KingsLW261999-06-09USANo188 Lbs6 ft0NoNoFree AgentNoNo32025-10-24FalseFalsePro & Farm500,000$430,851$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Tyler Seguin (contrat à 1 volet)Los Angeles KingsC331992-01-31CANNo205 Lbs6 ft1YesNoFree AgentNoNo22025-10-04FalseFalsePro Only10,000,000$8,617,021$0$0$No10,000,000$--------10,000,000$--------Yes--------Lien
Will ButcherLos Angeles KingsD301995-01-06USANo190 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,810,000$1,559,681$0$0$No1,810,000$1,810,000$-------1,810,000$1,810,000$-------NoNo-------Lien
Zemgus Girgensons (contrat à 1 volet)Los Angeles KingsC311994-01-05LVANo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,548,500$3,057,750$0$0$No3,548,500$--------3,548,500$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2131.19199 Lbs6 ft12.003,835,900$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
80,553,899$55,663,900$20,930,000$1,810,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita KucherovTyler SeguinBrayden Schenn34023
2Charlie CoyleLucas WallmarkDrake Batherson33023
3Andrei KuzmenkoZemgus GirgensonsDrake Caggiula33023
4Sasha ChmelevskiCorban KnightNikita Kucherov0032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekJustin Faulk40032
2Will ButcherColton Parayko40032
3Drew DoughtyJohn Ramage20032
4Filip HronekWill Butcher0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita KucherovTyler SeguinDrake Batherson60005
2Andrei KuzmenkoLucas WallmarkBrayden Schenn40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekWill Butcher60005
2Colton ParaykoJustin Faulk40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zemgus GirgensonsBrayden Schenn60050
2Tyler SeguinCharlie Coyle40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkColton Parayko60050
2Filip HronekWill Butcher40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zemgus Girgensons60050Justin FaulkColton Parayko60050
2Brayden Schenn40050Will ButcherFilip Hronek40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler SeguinBrayden Schenn60041
2Lucas WallmarkNikita Kucherov40041
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin FaulkFilip Hronek60050
2Colton ParaykoWill Butcher40050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita KucherovTyler SeguinDrake BathersonWill ButcherFilip Hronek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden SchennZemgus GirgensonsDrake BathersonJustin FaulkColton Parayko
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Wallmark, Nikita Kucherov, Brayden SchennLucas Wallmark, Brayden SchennBrayden Schenn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Hronek, Will Butcher, Colton ParaykoFilip HronekFilip Hronek, Will Butcher
Tirs de pénalité
Nikita Kucherov, Andrei Kuzmenko, Drake Batherson, Tyler Seguin, Lucas Wallmark
Gardien
#1 : Joonas Korpisalo, #2 : Jonathan Quick
Lignes d’attaque personnalisées en prolongation
Tyler Seguin, Nikita Kucherov, Lucas Wallmark, Brayden Schenn, Drake Batherson, Zemgus Girgensons, Sasha Chmelevski, Andrei Kuzmenko, Charlie Coyle, Drake Caggiula
Lignes de défense personnalisées en prolongation
Colton Parayko, Filip Hronek, Will Butcher, Justin Faulk, Drew Doughty


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
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Anaheim Mighty Ducks1010000036-31010000036-30000000000000.000369000120381110170341315207228.57%5180.00%016330952.75%16328756.79%8417248.84%2415198167
2Boston Bruins11000000431110000004310000000000031.00047110021102512850241214201000.00%20100.00%016330952.75%16328756.79%8417248.84%2313199169
3California Golden Seals11000000321000000000001100000032131.000369001110301212602913026300.00%000%016330952.75%16328756.79%8417248.84%2416187167
4Carolina Hurricanes11000000312000000000001100000031231.0003580001203313128028101020100.00%5180.00%016330952.75%16328756.79%8417248.84%2213219167
5Chicago Blackhawks10000010321100000103210000000000020.6673250000232614574336627200.00%30100.00%016330952.75%16328756.79%8417248.84%2111249199
6Detroit Red Wings10000010431000000000001000001043120.6674610001111347171032838144250.00%40100.00%016330952.75%16328756.79%8417248.84%22132310189
7San Jose Sharks11000000303110000003030000000000031.0003690111103210121002247159111.11%10100.00%016330952.75%16328756.79%8417248.84%25151681810
8Seattle Kraken1010000045-11010000045-10000000000000.000461010022037139150288421200.00%20100.00%016330952.75%16328756.79%8417248.84%2415188168
9St Louis Blues1010000023-11010000023-10000000000000.00024600200025851203096303133.33%30100.00%016330952.75%16328756.79%8417248.84%2111199189
10Tampa Bay Lightning11000000312110000003120000000000031.0003690011103618990279829200.00%4175.00%016330952.75%16328756.79%8417248.84%2314198168
11Vancouver Canucks11000000312000000000001100000031231.000369000300379217023121322700.00%40100.00%116330952.75%16328756.79%8417248.84%2414189168
12Vegas Golden Knights11000000321000000000001100000032131.0003580030003215512021721910220.00%110.00%016330952.75%16328756.79%8417248.84%2414169189
Total127300020382997330001022202540000101697250.694386510311111213438514212511873271069326360813.33%34488.24%116330952.75%16328756.79%8417248.84%284170235108209106
_Since Last GM Reset127300020382997330001022202540000101697250.694386510311111213438514212511873271069326360813.33%34488.24%116330952.75%16328756.79%8417248.84%284170235108209106
_Vs Conference9430002028244513000101516-1430000101385160.5932847751189942919996967248756119447817.02%23291.30%116330952.75%16328756.79%8417248.84%2151291758115881
_Vs Division6420000019163312000001011-133000000954120.6671935541158602067069670157574112338513.16%13284.62%116330952.75%16328756.79%8417248.84%149931085110252

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1225W138651033853271069326311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127300203829
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73300102220
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5400010169
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
60813.33%34488.24%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
14212511871112134
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
16330952.75%16328756.79%8417248.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
284170235108209106


Derniers matchs joués
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
213Los Angeles Kings3Vegas Golden Knights2WSommaire du match
427Los Angeles Kings3Vancouver Canucks1WSommaire du match
639Seattle Kraken5Los Angeles Kings4LSommaire du match
855San Jose Sharks0Los Angeles Kings3WSommaire du match
1070Chicago Blackhawks2Los Angeles Kings3WXXSommaire du match
1282Los Angeles Kings3California Golden Seals2WSommaire du match
1495Anaheim Mighty Ducks6Los Angeles Kings3LSommaire du match
15104Tampa Bay Lightning1Los Angeles Kings3WSommaire du match
18126Boston Bruins3Los Angeles Kings4WSommaire du match
20132Los Angeles Kings3Carolina Hurricanes1WSommaire du match
23145St Louis Blues3Los Angeles Kings2LSommaire du match
25156Los Angeles Kings4Detroit Red Wings3WXXSommaire du match
28171Los Angeles Kings-Winnipeg Jets-
32192Colorado Avalanche-Los Angeles Kings-
34202Edmonton Oilers-Los Angeles Kings-
38219Los Angeles Kings-Columbus Blue Jackets-
41233Columbus Blue Jackets-Los Angeles Kings-
44246Los Angeles Kings-Edmonton Oilers-
47258Los Angeles Kings-Colorado Avalanche-
50274Winnipeg Jets-Los Angeles Kings-
53288Detroit Red Wings-Los Angeles Kings-
57307Los Angeles Kings-St Louis Blues-
59309Los Angeles Kings-New York Islanders-
62331Los Angeles Kings-Pittsburgh Penguins-
63339Quebec Nordiques-Los Angeles Kings-
66357Ottawa Senators-Los Angeles Kings-
68373Los Angeles Kings-California Golden Seals-
70392Chicago Blackhawks-Los Angeles Kings-
72405Los Angeles Kings-San Jose Sharks-
74416Los Angeles Kings-Seattle Kraken-
76426New York Rangers-Los Angeles Kings-
78437Los Angeles Kings-New Jersey Devils-
80452Los Angeles Kings-Florida Panthers-
84471Colorado Avalanche-Los Angeles Kings-
87489Edmonton Oilers-Los Angeles Kings-
89500Los Angeles Kings-Columbus Blue Jackets-
92513Philadelphia Flyers-Los Angeles Kings-
93520Los Angeles Kings-Philadelphia Flyers-
95539Los Angeles Kings-Hamilton Mustangs-
98560Hamilton Mustangs-Los Angeles Kings-
100568Toronto Maple Leafs-Los Angeles Kings-
102586Los Angeles Kings-Montreal Canadiens-
104597Vancouver Canucks-Los Angeles Kings-
107614Vegas Golden Knights-Los Angeles Kings-
111627Los Angeles Kings-Anaheim Mighty Ducks-
113641St Louis Blues-Los Angeles Kings-
115645Los Angeles Kings-Detroit Red Wings-
119666Los Angeles Kings-Winnipeg Jets-
121674Los Angeles Kings-Quebec Nordiques-
123691Pittsburgh Penguins-Los Angeles Kings-
125701New York Islanders-Los Angeles Kings-
127715Carolina Hurricanes-Los Angeles Kings-
129734Los Angeles Kings-Boston Bruins-
131747Los Angeles Kings-Tampa Bay Lightning-
135768California Golden Seals-Los Angeles Kings-
137784Los Angeles Kings-Chicago Blackhawks-
139797San Jose Sharks-Los Angeles Kings-
142809Los Angeles Kings-Seattle Kraken-
144825Los Angeles Kings-Ottawa Senators-
146833Los Angeles Kings-New York Rangers-
149850New Jersey Devils-Los Angeles Kings-
151861Florida Panthers-Los Angeles Kings-
154879Los Angeles Kings-Toronto Maple Leafs-
156894Montreal Canadiens-Los Angeles Kings-
158898Los Angeles Kings-Colorado Avalanche-
160916Los Angeles Kings-Edmonton Oilers-
162927Columbus Blue Jackets-Los Angeles Kings-
164942Winnipeg Jets-Los Angeles Kings-
166953Detroit Red Wings-Los Angeles Kings-
168972Los Angeles Kings-St Louis Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171984California Golden Seals-Los Angeles Kings-
1731001Los Angeles Kings-Chicago Blackhawks-
1751014Los Angeles Kings-San Jose Sharks-
1771026Seattle Kraken-Los Angeles Kings-
1801049Vancouver Canucks-Los Angeles Kings-
1811063Los Angeles Kings-Vancouver Canucks-
1831077Los Angeles Kings-Vegas Golden Knights-
1841091Vegas Golden Knights-Los Angeles Kings-
1861103Anaheim Mighty Ducks-Los Angeles Kings-
1871110Los Angeles Kings-Anaheim Mighty Ducks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets91472921183
Assistance39,75430,64112,71325,6518,276
Attendance PCT95.61%90.07%91.72%92.54%93.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 16719 - 92.88% 1,189,083$8,323,580$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
11,037,454$ 78,743,899$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 11,037,454$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
39,239,734$ 162 418,851$ 67,853,862$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
70,167,222$ 197,488,535$ 168,461,649$



Charte de profondeur

Ailier gaucheCentreAilier droit
Nikita KucherovAGE:32PO:55OV:81
Dylan Guenther (R)AGE:22PO:55OV:79
Andreas JohnssonAGE:30PO:55OV:78
Andrei KuzmenkoAGE:29PO:55OV:77
Mike HoffmanAGE:35PO:55OV:69
Nikolay GoldobinAGE:29PO:55OV:69
Sasha ChmelevskiAGE:26PO:55OV:69
Tomas TatarAGE:34PO:55OV:68
Cole BardreauAGE:31PO:55OV:65
Tyler SeguinAGE:33PO:55OV:81
Lucas WallmarkAGE:29PO:55OV:79
Zemgus GirgensonsAGE:31PO:55OV:78
Joakim NordstromAGE:33PO:55OV:71
Victor RaskAGE:32PO:55OV:70
Corban KnightAGE:34PO:55OV:69
Jean-Sebastien DeaAGE:31PO:55OV:68
Mason MorelliAGE:29PO:55OV:68
Sergey KalininAGE:34PO:55OV:66
Brayden SchennAGE:33PO:55OV:79
Drake BathersonAGE:27PO:55OV:79
Charlie CoyleAGE:33PO:55OV:74
Drake CaggiulaAGE:31PO:55OV:71
Austin WatsonAGE:33PO:55OV:69
Keegan KolesarAGE:28PO:55OV:68
Sam LaffertyAGE:30PO:55OV:68
Zach BoychukAGE:35PO:55OV:68
Michael EyssimontAGE:28PO:55OV:66

Défense #1Défense #2Gardien
Filip HronekAGE:27PO:55OV:80
Colton ParaykoAGE:32PO:55OV:79
Justin FaulkAGE:33PO:55OV:79
Will ButcherAGE:30PO:55OV:78
Arber Xhekaj (R)AGE:24PO:55OV:74
Drew DoughtyAGE:35PO:55OV:74
Jake DotchinAGE:31PO:55OV:74
Joel EdmundsonAGE:32PO:55OV:73
Dylan McIlrathAGE:33PO:55OV:72
Jake BischoffAGE:30PO:55OV:72
Andreas EnglundAGE:29PO:55OV:70
Joel HanleyAGE:34PO:55OV:70
John RamageAGE:34PO:55OV:70
Hardy Haman AktellAGE:26PO:55OV:68
Joonas KorpisaloAGE:31PO:55OV:84
Jonathan QuickAGE:39PO:55OV:76
Ivan FedotovAGE:28PO:55OV:75
Joni OrtioAGE:34PO:55OV:75
Magnus HellbergAGE:34PO:58OV:72
Georgi RomanovAGE:25PO:55OV:70

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
0x LTCsLos Angeles Kings00
1 000 000 NSHL25 Waiver BucksLos Angeles Kings00
1x NSHL26 ODW ClaimLos Angeles Kings00
1x RFA TagLos Angeles Kings00
7x TC PTSLos Angeles Kings00
Alexander ZharovskyLos Angeles Kings25320Lien
Anthony RomaniLos Angeles Kings241480Lien
Aram MinnetianLos Angeles Kings231160Lien
Ashton SchultzLos Angeles Kings251830Lien
Brady MartinLos Angeles Kings2580Lien
Clarke CaswellLos Angeles Kings24980Lien
Colby BarlowLos Angeles Kings23140Lien
Colton DachLos Angeles Kings21320Lien
Cooper SimpsonLos Angeles Kings25800Lien
Daniil ButLos Angeles Kings23170Lien
Eric NilsonLos Angeles Kings25510Lien
Finn HardingLos Angeles Kings251900Lien
Florian XhekajLos Angeles Kings241460Lien
Gavin WhiteLos Angeles Kings221320Lien
Heikki RuahonenLos Angeles Kings241210Lien
Hunter McKownLos Angeles Kings231350Lien
Jack NesbittLos Angeles Kings25170Lien
Jacob BattagliaLos Angeles Kings24790Lien
Joni JurmoLos Angeles Kings201040Lien
Joshua RoyLos Angeles Kings21810Lien
Justin PoirierLos Angeles Kings24910Lien
Karsen DorwartLos Angeles Kings251140Lien
Lleyton RoedLos Angeles Kings241710Lien
Logan MorrisonLos Angeles Kings231590Lien
Luca PinelliLos Angeles Kings231100Lien
Marek VanackerLos Angeles Kings24260Lien
Miguel MarquesLos Angeles Kings24730Lien
Nathan StaiosLos Angeles Kings221550Lien
Nick LardisLos Angeles Kings23370Lien
Owen ProtzLos Angeles Kings251750Lien
Roman KantserovLos Angeles Kings23620Lien
Ryan UfkoLos Angeles Kings21880Lien
Ryerson LeendersLos Angeles Kings241610Lien
Ryker LeeLos Angeles Kings25290Lien
Sam McCueLos Angeles Kings251660Lien
Sam RinzelLos Angeles Kings22360Lien
Tomas MrsicLos Angeles Kings24970Lien
Veeti MiettinenLos Angeles Kings21560Lien
Viktor KlingsellLos Angeles Kings251070Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Los Angeles Kings Historique de transactions

[2026-02-19 2:00:20 PM] New Record for Team's Most Hits (30) in 1 Game for Los Angeles Kings!
[2026-02-12 3:18:46 PM] New Record for Team's Most Points (11) in 1 Game for Los Angeles Kings!
[2026-02-12 3:18:46 PM] New Record for Team's Most Assists (7) in 1 Game for Los Angeles Kings!
[2026-02-09 2:08:40 PM] New Record for Team's Most Hits (29) in 1 Game for Los Angeles Kings!
[2026-02-09 11:52:56 AM] TRADE : From Los Angeles Kings to Columbus Blue Jackets : $100,000 (Money).
[2026-02-09 11:52:56 AM] TRADE : From Columbus Blue Jackets to Los Angeles Kings : Cole Bardreau (65).
[2026-02-08 10:36:52 AM] New Record for Team's Most Penalties Minutes (15) in 1 Game for Los Angeles Kings!
[2026-02-08 10:36:52 AM] New Record for Team's Most Shots (38) in 1 Game for Los Angeles Kings!
[2026-02-06 2:11:23 PM] New Record for Team's Most Shots Blocked (13) in 1 Game for Los Angeles Kings!
[2026-02-04 2:03:29 PM] New Record for Team's Most Hits (27) in 1 Game for Los Angeles Kings!
[2026-01-31 9:15:19 AM] New Record for Team's Most Points (10) in 1 Game for Los Angeles Kings!
[2026-01-31 9:15:19 AM] New Record for Team's Most Goals (4) in 1 Game for Los Angeles Kings!
[2026-01-29 9:02:21 AM] New Record for Team's Most Hits (22) in 1 Game for Los Angeles Kings!
[2026-01-29 9:02:21 AM] New Record for Team's Most Penalties Minutes (13) in 1 Game for Los Angeles Kings!
[2026-01-29 9:02:21 AM] New Record for Team's Most Shots Blocked (12) in 1 Game for Los Angeles Kings!
[2026-01-29 9:02:21 AM] New Record for Team's Most Shots (37) in 1 Game for Los Angeles Kings!
[2026-01-29 9:02:21 AM] New Record for Team's Most Points (9) in 1 Game for Los Angeles Kings!
[2026-01-29 9:02:21 AM] New Record for Team's Most Assists (6) in 1 Game for Los Angeles Kings!



Andreas Johnsson est dehors pour 1 mois à cause de Upper Body Injury.
Austin Watson est dehors pour 5 jours à cause de Broken Ribs Injury.
Mike Hoffman est dehors pour 3 semaines à cause de Lacerated Left Calf Injury.
Tomas Tatar est dehors pour 4 jours à cause de Fractured Right Foot Injury.



Los Angeles Kings Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Los Angeles Kings Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Los Angeles Kings Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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

Los Angeles Kings Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Los Angeles Kings Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA