Kings

DG: Daniel Sebera Morale : 47 Moyenne d'Équipe : 70
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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 SP
1Evgeni Malkin (C)X100.00615378918293779687565862709088048750
2Andrew LaddX100.00786881828089917664485371758386048730
3Matt CullenXX100.00624289748080836598454775739598048700
4Justin WilliamsX100.00614182778285927262505067619298048700
5Logan CoutureX100.00624284867087809187515165876972048700
6Jiri HudlerXX100.00615184846982868063535060667680048690
7Mikael BacklundX100.00664386796685807188494972506869048670
8Lauri KorpikoskiXXX100.00734479827179816761444472507375048660
9Nick SpalingXX100.00694483787080806489434075507072048650
10Tanner PearsonXX100.00704494837180697261464867506062048650
11Patrick EavesXX100.00695582746976687262424761637377048640
12Chris VandeVeldeXXX100.00755567756774866458434075506262048630
13Drew Doughty (A)X100.00784581968799998625524680508589048780
14Kris Letang (A)X100.00804574927899998925564879908488048780
15Nick HoldenX100.00854786837888967225444179507872048720
16Alec MartinezX100.00814583868087847525474479507875048720
17Ben LovejoyX100.00844683787179796925414079507669048670
18Jordie BennX100.00765685797670865725434078506465048650
Rayé
MOYENNE D'ÉQUIPE100.0072488282758484745747467260767804869
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 SP
1Jonathan Quick100.0079979791827979807976799193048820
2Antti Raanta100.0081787484807977767468657069048740
Rayé
MOYENNE D'ÉQUIPE100.008088868881797878777272818104878
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan78868987737374USA4851,000,000$


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'Équipe# 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
1Evgeni MalkinKingsKingsC4336-12041921515.79%019.:.0910100000042.25%7180011.5700
2Kris LetangKingsKingsD4055140813660.00%825.:.460000119000.00%058000.9700
3Tanner PearsonKingsKingsLW/RW4224-100772128.57%018.:.500110000000.00%320001.0600
4Jiri HudlerKingsKingsLW/RW4213000215101213.33%019.:.4700010120040.00%593000.7600
5Andrew LaddKingsKingsLW4022-100812440.00%216.:.4401100000075.00%4121000.6000
6Logan CoutureKingsKingsC4202-100764433.33%016.:.3210100000025.00%3690000.6000
7Patrick EavesKingsKingsLW/RW4101-120351320.00%011.:.210000000100.00%000000.4400
8Nick HoldenKingsKingsD4011-12058230.00%320.:.490000008000.00%007000.2400
9Alec MartinezKingsKingsD4011-14079410.00%1022.:.480110008000.00%014000.2200
10Drew DoughtyKingsKingsD4011140513850.00%1023.:.010000006000.00%049000.2200
11Mikael BacklundKingsKingsC4000-10036170.00%214.:.46000000120042.11%3880000.0000
12Matt CullenKingsKingsC/LW4000-10014030.00%314.:.24000000110066.67%620000.0000
13Justin WilliamsKingsKingsRW4000-10031250.00%016.:.32000000000100.00%421000.0000
14Nick SpalingKingsKingsC/LW400002023210.00%008.:.5700000030050.00%1821000.0000
15Jordie BennKingsKingsD4000-22044110.00%613.:.320000000000.00%036000.0000
16Lauri KorpikoskiKingsKingsC/LW/RW400010012140.00%009.:.16000000300100.00%150000.0000
17Ben LovejoyKingsKingsD4000-200112130.00%214.:.200000002000.00%004000.0000
18Chris VandeVeldeKingsKingsC/LW/RW400002052100.00%008.:.480000002000.00%000000.0000
Stats d'équipe Total ou en Moyenne72101626-11240869313152787.63%46118116.4223517941121711041.94%1867244010.4400000122
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
1Antti RaantaKingsKings210091.7%2.50960044829000.0%013000
2Jonathan QuickKingsKings303089.5%3.831410098648010.0%031000
Stats d'équipe Total ou en Moyenne51300.9033.29237001313477010.000044000


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 POS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alec MartinezD2926.07.1987No209 Lbs6 ft1NoNo1Pro & Farm1,800,000$0$Lien
Andrew LaddLW3012.12.1985No200 Lbs6 ft3NoNo4Pro & Farm4,700,000$0$4,700,000$4,700,000$4,700,000$Lien
Antti RaantaG2712.05.1989 1:23:45No193 Lbs6 ft0NoNo2Pro Only1,500,000$0$1,500,000$Lien
Ben LovejoyD3220.02.1984No206 Lbs6 ft1NoNo1Pro & Farm1,800,000$0$Lien
Chris VandeVeldeC/LW/RW2915.03.1987No190 Lbs6 ft2NoNo1Pro & Farm1,100,000$0$Lien
Drew DoughtyD2608.12.1989No213 Lbs6 ft1NoNo4Pro & Farm7,000,000$0$7,000,000$7,000,000$7,000,000$Lien
Evgeni MalkinC3031.07.1986No195 Lbs6 ft3YesNo2Pro & Farm9,200,000$0$9,200,000$Lien
Jiri HudlerLW/RW3204.01.1984No186 Lbs5 ft10NoNo2Pro & Farm4,000,000$0$4,000,000$Lien
Jonathan QuickG3021.01.1986No220 Lbs6 ft1YesNo1Pro & Farm5,500,000$0$Lien
Jordie BennD2926.07.1987No200 Lbs6 ft2NoNo3Pro Only1,400,000$0$1,400,000$1,400,000$Lien
Justin WilliamsRW3504.10.1981No189 Lbs6 ft1NoNo4Pro & Farm3,500,000$0$3,500,000$3,500,000$3,500,000$Lien
Kris LetangD2924.04.1987No201 Lbs6 ft0NoNo3Pro & Farm6,500,000$0$6,500,000$6,500,000$Lien
Lauri KorpikoskiC/LW/RW3028.07.1986No205 Lbs6 ft1NoNo2Pro Only800,000$0$800,000$Lien
Logan CoutureC2728.03.1989No200 Lbs6 ft1YesNo3Pro Only5,500,000$0$5,500,000$5,500,000$Lien
Matt CullenC/LW3902.11.1976No200 Lbs6 ft1NoNo1Pro Only1,000,000$0$Lien
Mikael BacklundC2717.03.1989No198 Lbs6 ft0NoNo3Pro & Farm2,300,000$0$2,300,000$2,300,000$Lien
Nick HoldenD2915.05.1987No210 Lbs6 ft4NoNo4Pro & Farm2,400,000$0$2,400,000$2,400,000$2,400,000$Lien
Nick Spaling (Contrat à 1 Volet)C/LW2819.09.1988No201 Lbs6 ft1NoNo2Pro Only1,400,000$0$1,400,000$Lien
Patrick EavesLW/RW3201.05.1984No200 Lbs6 ft0NoNo2Pro & Farm1,200,000$0$1,200,000$Lien
Tanner PearsonLW/RW2410.08.1992 4:43:33No200 Lbs6 ft1YesNo2Pro Only2,800,000$0$2,800,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2029.70201 Lbs6 ft12.353,270,000$



Attaque à 5 contre 5
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Evgeni MalkinTanner PearsonJiri Hudler43023
2Logan CoutureAndrew LaddJustin Williams34023
3Mikael BacklundMatt CullenPatrick Eaves18122
4Nick SpalingLauri KorpikoskiChris VandeVelde5140
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangDrew Doughty45023
2Alec MartinezNick Holden35122
3Ben LovejoyJordie Benn20131
4Kris LetangDrew Doughty0122
Attaque en Avantage Numérique
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Evgeni MalkinTanner PearsonJiri Hudler70005
2Logan CoutureAndrew LaddJustin Williams30014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangDrew Doughty70014
2Alec MartinezNick Holden30014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt CullenMikael Backlund60041
2Nick SpalingChris VandeVelde40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangDrew Doughty60140
2Alec MartinezNick Holden40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Cullen60050Kris LetangDrew Doughty60050
2Mikael Backlund40050Alec MartinezNick Holden40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Evgeni MalkinJiri Hudler50032
2Logan CoutureAndrew Ladd50032
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangDrew Doughty50041
2Alec MartinezNick Holden50041
Attaque Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Evgeni MalkinAndrew LaddJiri HudlerKris LetangDrew Doughty
Défense Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Matt CullenLauri KorpikoskiChris VandeVeldeKris LetangDrew Doughty
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Evgeni Malkin, Logan Couture, Mikael BacklundEvgeni Malkin, Logan CoutureLauri Korpikoski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kris Letang, Drew Doughty, Alec MartinezKris LetangKris Letang, Ben Lovejoy
Tirs de Pénalité
Kris Letang, Logan Couture, Andrew Ladd, Evgeni Malkin, Jiri Hudler
Gardien
#1 : Antti Raanta, #2 : Jonathan Quick


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
1KingsCapitals1010000047-300.00046100021104220101203398216116.67%4325.00%0257135.21%347048.57%194542.22%2113238147
2KingsMaple Leafs1010000013-200.000123101000289109032136173133.33%30100.00%0257135.21%347048.57%194542.22%2114247136
3KingsPredators1010000012-100.000123001000361571403413428200.00%20100.00%0257135.21%347048.57%194542.22%2315227147
4KingsFlames1100000042221.00046100030102599703611620100.00%3166.67%1257135.21%347048.57%194542.22%1711269156
Vs Conference1100000042221.00046100030102599703611620100.00%3166.67%1257135.21%347048.57%194542.22%1711269156
Since Last GM Reset413000001014-420.250101626107120131533642013546248612216.67%12466.67%1257135.21%347048.57%194542.22%835397335928
Total413000001014-420.250101626107120131533642013546248612216.67%12466.67%1257135.21%347048.57%194542.22%835397335928

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
42W110162613113546248610
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
41300001014
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000510
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000054
Derniers 10 Matchs
WLOTWOTL SOWSOL
130000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
12216.67%12466.67%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
53364207120
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
257135.21%347048.57%194542.22%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
835397335928


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
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Nov 22Kings@KingsMaple Leafs3,Kings1RECAP
Sat, Nov 23Kings@KingsCapitals7,Kings4RECAP
Tue, Nov 26Kings@KingsKings1,Predators2RECAP
Wed, Nov 27Kings@KingsKings4,Flames2RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna68853624453018121268
Prix des Billets90604328160
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$18119100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
65,400,000$ 6,600,000$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
0$ 0$ 0$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 57,647,354$ 57,647,354$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Andrew LaddAGE:30PO:0OV:73
Matt CullenAGE:39PO:0OV:70
Jiri HudlerAGE:32PO:0OV:69
Lauri KorpikoskiAGE:30PO:0OV:66
Nick SpalingAGE:28PO:0OV:65
Tanner PearsonAGE:24PO:0OV:65
Patrick EavesAGE:32PO:0OV:64
Chris VandeVeldeAGE:29PO:0OV:63
Kyle CliffordAGE:25PO:0OV:62
*Sergey KalininAGE:25PO:0OV:61
Gabriel BourqueAGE:26PO:0OV:59
Jordan NolanAGE:27PO:0OV:58
*Bud HollowayAGE:28PO:0OV:55
*Ondrej KaseAGE:20PO:0OV:53
John McFarlandAGE:24PO:0OV:53
David WohlbergAGE:26PO:0OV:51
Josh ArchibaldAGE:24PO:0OV:50
Josh ShallaAGE:25PO:0OV:48
Evgeni MalkinAGE:30PO:0OV:75
Matt CullenAGE:39PO:0OV:70
Logan CoutureAGE:27PO:0OV:70
Mikael BacklundAGE:27PO:0OV:67
Lauri KorpikoskiAGE:30PO:0OV:66
Nick SpalingAGE:28PO:0OV:65
Chris VandeVeldeAGE:29PO:0OV:63
*Sergey KalininAGE:25PO:0OV:61
*Bud HollowayAGE:28PO:0OV:55
Louis-Marc AubryAGE:24PO:0OV:54
Nic DowdAGE:26PO:0OV:54
*Lukas SedlakAGE:23PO:0OV:51
David WohlbergAGE:26PO:0OV:51
Robert CzarnikAGE:26PO:0OV:49
*Jeremy GregoireAGE:21PO:0OV:49
Justin WilliamsAGE:35PO:0OV:70
Jiri HudlerAGE:32PO:0OV:69
Lauri KorpikoskiAGE:30PO:0OV:66
Tanner PearsonAGE:24PO:0OV:65
Patrick EavesAGE:32PO:0OV:64
Chris VandeVeldeAGE:29PO:0OV:63
*Sergey KalininAGE:25PO:0OV:61
Gabriel BourqueAGE:26PO:0OV:59
Jordan NolanAGE:27PO:0OV:58
*Bud HollowayAGE:28PO:0OV:55
*Ondrej KaseAGE:20PO:0OV:53
John McFarlandAGE:24PO:0OV:53
*Michael PelechAGE:26PO:0OV:51
Josh ArchibaldAGE:24PO:0OV:50

Défense #1Défense #2Gardien
Drew DoughtyAGE:26PO:0OV:78
Kris LetangAGE:29PO:0OV:78
Nick HoldenAGE:29PO:0OV:72
Alec MartinezAGE:29PO:0OV:72
Ben LovejoyAGE:32PO:0OV:67
Jordie BennAGE:29PO:0OV:65
Nikita NesterovAGE:23PO:0OV:64
Carlo ColaiacovoAGE:33PO:0OV:63
Cameron GaunceAGE:26PO:0OV:60
John RamageAGE:25PO:0OV:54
Vojtech MozikAGE:23PO:0OV:53
Konrad AbeltshauserAGE:24PO:0OV:53
*Niclas AndersenAGE:28PO:0OV:53
*David KolomatisAGE:27PO:0OV:51
Jonathan QuickAGE:30PO:0OV:82
Antti RaantaAGE:27PO:0OV:74
John MuseAGE:28PO:0OV:65
Justin PetersAGE:30PO:0OV:63

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam BrodeckiKings2014209
Adam BrooksKings201665
Adam HughesmanKings
Alexandre GouletKings2014121
Axel HolmstromKings201498
Brent AndrewsKings2011198
Brett SeneyKings2015193
Cody FerrieroKings
Curtis GlencrossKings
Eric CornelKings201439
Jake RyczekKings2016200
Jesse LeesKings2013131
Joel LassinanttiKings2016166
Justin AzevedoKings
Kay SchweriKings2015206
Leon BristedtKings2014146
Linus OmarkKings
Louick MarcotteKings2014177
Markus SöbergKings2013172
Michael HouserKings
Nathan NoelKings2015155
Olli JuoleviKings201613
Otto MakinenKings2016189
Pavel BuchnevichKings201383
Philippe MyersKings2015176
Pius SuterKings2015210
Reid GardinerKings2014206
Stepan FalkovskyKings2016170
Thomas NovakKings201561
Vasily GlotovKings201693
Victor MeteKings201666
Ville HussoKings201455
Vitalii AbramovKings201628
Vyacheslav LeshchenkoKings2015233

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017LAK LAK LAK LAK LAK
2018LAK LAK LAK NJD LAK LAK LAK LAK
2019LAK LAK LAK LAK LAK LAK LAK
2020LAK LAK LAK LAK LAK LAK LAK
2021LAK LAK LAK LAK LAK LAK LAK



[12.09.2016 4:49:22] - TRADE : From Blue Jackets to Kings : Y:2016-RND:3-NYI, Y:2016-RND:4-CBJ.
[12.09.2016 4:49:22] - TRADE : From Kings to Blue Jackets : Y:2016-RND:3-BOS, Y:2016-RND:3-OTT.
[12.09.2016 4:52:28] - Kings drafts Adam Brooks as the #65 overall pick in the Entry Draft of year 2016.
[12.09.2016 4:57:22] - Jordie Benn was added to Kings.
[12.09.2016 4:57:22] - Jordie Benn signed with Kings for 1 400 000 Kč for 3 year(s) with 0 Kč in bonus.
[14.09.2016 7:15:19] - Lauri Korpikoski was added to Kings.
[14.09.2016 7:15:19] - Lauri Korpikoski signed with Kings for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[14.09.2016 7:23:16] - Kings drafts Victor Mete as the #66 overall pick in the Entry Draft of year 2016.
[19.09.2016 5:47:55] - Kings drafts Vasily Glotov as the #93 overall pick in the Entry Draft of year 2016.
[22.09.2016 7:49:45] - Patrick Eaves was added to Kings.
[22.09.2016 7:49:45] - Patrick Eaves signed with Kings for 1 200 000 Kč for 2 year(s) with 0 Kč in bonus.
[24.09.2016 6:00:23] - Monarchs hired Dallas Eakins for 100 000 Kč for 5 year(s).
[02.10.2016 7:13:08] - Cameron Gaunce was added to Kings.
[02.10.2016 7:13:08] - Cameron Gaunce signed with Kings for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[02.10.2016 7:13:17] - Carlo Colaiacovo was added to Kings.
[02.10.2016 7:13:17] - Carlo Colaiacovo signed with Kings for 1 000 000 Kč for 2 year(s) with 0 Kč in bonus.
[06.10.2016 6:58:17] - Kings drafts Joel Lassinantti as the #166 overall pick in the Entry Draft of year 2016.
[06.10.2016 6:58:50] - Kings drafts Stepan Falkovsky as the #170 overall pick in the Entry Draft of year 2016.
[08.10.2016 6:03:54] - Kings drafts Otto Makinen as the #189 overall pick in the Entry Draft of year 2016.
[10.10.2016 12:16:47] - Kings drafts Jake Ryczek as the #200 overall pick in the Entry Draft of year 2016.
[15.10.2016 22:15:46] - Unknown Player is no longer as assistant for Kings.
[15.10.2016 22:15:46] - Drew Doughty has been selected as assistant for Kings.
[15.10.2016 22:24:42] - TRADE : From Maple Leafs to Kings : Y:2017-RND:3-TOR.
[15.10.2016 22:24:42] - TRADE : From Kings to Maple Leafs : Dalton Prout (66).
[15.10.2016 22:25:05] - TRADE : From Blackhawks to Kings : Philippe Myers (P).
[15.10.2016 22:25:05] - TRADE : From Kings to Blackhawks : Drew Miller (61), Y:2017-RND:3-TOR.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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