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Kings
GP: 82 | W: 53 | L: 20 | OTL: 9 | P: 115
GF: 262 | GA: 225 | PP%: 17.19% | PK%: 80.63%
DG: Guillaume Laplante | Morale : 98 | Moyenne d’équipe : 75
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Centre de jeu
Kings
53-20-9, 115pts
1
FINAL
2 Maple Leafs
37-33-12, 86pts
Team Stats
W1SéquenceW2
27-10-4Fiche domicile21-15-5
26-10-5Fiche domicile16-18-7
6-1-3Derniers 10 matchs6-3-1
3.20Buts par match 3.10
2.74Buts contre par match 3.13
17.19%Pourcentage en avantage numérique17.62%
80.63%Pourcentage en désavantage numérique84.08%
Canadiens
55-24-3, 113pts
3
FINAL
4 Kings
53-20-9, 115pts
Team Stats
W1SéquenceW1
31-10-0Fiche domicile27-10-4
24-14-3Fiche domicile26-10-5
6-3-1Derniers 10 matchs6-1-3
3.34Buts par match 3.20
2.77Buts contre par match 2.74
20.95%Pourcentage en avantage numérique17.19%
83.48%Pourcentage en désavantage numérique80.63%
Meneurs d'équipe
Buts
Roope Hintz
30
Passes
Jack Hughes
41
Points
Jack Hughes
69
Plus/Moins
Noah Dobson
23
Victoires
Igor Shesterkin
27
Pourcentage d’arrêts
Igor Shesterkin
0.916

Statistiques d’équipe
Buts pour
262
3.20 GFG
Tirs pour
2565
31.28 Avg
Pourcentage en avantage numérique
17.2%
44 GF
Début de zone offensive
38.0%
Buts contre
225
2.74 GAA
Tirs contre
2539
30.96 Avg
Pourcentage en désavantage numérique
80.6%%
43 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralGuillaume Laplante
EntraîneurTodd McLellan
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,500
Assistance7,159
Billets de saison8,500


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 60
Espoirs6


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
1Jack Hughes (R)X100.0065409596778983956089927025956660778002233,000,000$
2Roope Hintz (R)X100.0071507687878885907882897782907159837902723,000,000$
3J.T. Compher (R)X100.0080478267766886928692899267817964817902923,000,000$
4Andrei Svechnikov (R)X100.0080516384848883884089837925857159827802423,000,000$
5Robert Thomas (R)X100.0066458482898985858084778172767159837702422,000,000$
6Kirill Kaprizov (R)X100.007150698980897892408191682592615283770271925,000$
7Noah Cates (R)X100.007545929474897880647773842583594984752253925,000$
8Drake Batherson (R)X100.0076557575848885885082786425827159867402622,000,000$
9Kaapo Kakko (R)X100.0068409482878683834076777225826654657302331,500,000$
10Gabriel Vilardi (R)X100.0070458578898681837176807025826654757302421,500,000$
11Michael Bunting (R)X100.007560618277868585407779712584715985730281950,000$
12Juuso Parssinen (R)X100.007655847589847074757565682573544966681233850,833$
13Andrew Peeke (R)X100.0077458484868983784068699125786654817702633,000,000$
14Noah Dobson (R)X100.0071458687858783884079777725856654827602432,500,000$
15Mattias Samuelsson (R)X100.007545837694927874406863882572615266750241925,000$
16Sean Durzi (R)X100.007061708580877883407873792582594981740252925,000$
17Owen Power (R)X100.006445827693937883407866782576594981732213916,667$
Rayé
1Joel Farabee (R)X100.0072657388798883835078757225836654567302431,500,000$
2Matias Maccelli (R)X100.006545858376867682408271672579585019712233853,333$
3Nicolas Hague (R)X100.0075567073928683772573658125736654687302531,500,000$
4Oscar KlefbomX100.0056369261798883663075649555847762207203031,500,000$
5Yegor Zamula (R)X100.007468917677545666257270653745455117630242756,667$
MOYENNE D’ÉQUIPE100.00715081818385808350797677348065556974
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
1Igor Shesterkin (R)100.009589917894999999999365866657839002823,000,000$
2Ilya Sorokin (R)100.00948790829499999999936089615283900281925,000$
Rayé
1Logan Thompson (R)100.00858586879593929392925082605320860272766,667$
2Devon Levi (R)100.00776766777276757377723073535020712223925,000$
3Joseph Woll (R)100.00726161686875797677673057525020680252766,667$
MOYENNE D’ÉQUIPE100.0085787978858889888983477758524581
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan8185898283781CAN5522,000,000$


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’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
1Jack HughesKings (LA )C7128416961715771352256712612.44%38127317.937101730197000056047.36%15698125001.0814003753
2Roope HintzKings (LA )LW823038681172201641162837916810.60%40174221.25613192323111271861356.69%1577739000.78710013367
3Kirill KaprizovKings (LA )LW822639651945015496274741739.49%20146417.86369221820002366248.75%807521000.8903244453
4Andrei SvechnikovKings (LA )RW79293160673151871021915511615.18%32152019.248917242101017625244.68%944924000.7914012853
5J.T. CompherKings (LA )C8218365443525149174201571058.96%31139417.0049131615502291035255.57%11051526000.7749320325
6Robert ThomasKings (LA )C822523481118101321892068112812.14%55158219.292681216111292075250.18%8353529000.6112011524
7Gabriel VilardiKings (LA )RW802123441017596117108385519.44%21118514.8136910130000014250.56%10721715000.7400100322
8Cale MakarKingsD828313925894515316714058615.71%89192623.49459152490333201400%05463000.4000342131
9Andrew PeekeKings (LA )D833313421584012017012152512.48%100189022.78279241760001228200%03154000.3601134031
10Noah CatesKings (LA )LW801518333758978149367610.07%3399912.49000041012824053.51%1142820000.6601100024
11Sean DurziKings (LA )D8342731999451401399641404.17%96181221.844913212580220144100%03447000.3400126020
12Noah DobsonKings (LA )D8232427233125901329844343.06%68164820.100006131000273010%02941000.3300104110
13Drake BathersonKings (LA )RW8291726161251286614138856.38%21108613.25325795000002132.14%562718000.4801203020
14Mattias SamuelssonKings (LA )D8122123-54020951387328302.74%97175921.7305551560110212100%01056000.2600022011
15Michael BuntingKings (LA )RW8071623134010924010839616.48%197479.3400000000000147.06%171515000.6200101230
16Joel FarabeeKings (LA )LW437916213543267119379.86%644110.27101150001280230.00%20127000.7200100023
17Owen PowerKings (LA )D76115162403058985524261.82%72137018.03011028000060000%01049000.2300204000
18Kaapo KakkoKings (LA )RW4586141000292456134214.29%44099.1100006000001052.94%17136000.6801000112
19Juuso ParssinenKings (LA )C5539128403539203915.00%44297.8100008000000151.97%15207000.5600000030
20Nicolas HagueKings (LA )D5925767030877030496.67%4399616.8900004000192000%0439000.1400024200
21Matias MaccelliKings (LA )LW42021001041150.00%0307.650000300000000%012001.3100000001
Statistiques d’équipe totales ou en moyenne149325146071116887842021192116265085114339.47%8892571017.224788135216239941014441727471950.47%5288617603000.551436192243405040
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
1Igor ShesterkinKings (LA )47271170.9162.652787601231460608100.862294537466
2Ilya SorokinKings (LA )3726920.9082.69220761991078395210.727113745522
Statistiques d’équipe totales ou en moyenne84532090.9132.6749951212222538100331408282988


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Andrei SvechnikovKings (LA )RW242000-03-26 06:13:21Yes195 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Andrew PeekeKings (LA )D261998-03-17 04:34:05Yes210 Lbs6 ft3NoNoTrade2024-02-25NoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Devon LeviKings (LA )G222001-12-27 03:08:18Yes184 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Drake BathersonKings (LA )RW261998-04-27 05:56:24Yes200 Lbs6 ft3NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Gabriel VilardiKings (LA )RW241999-08-16 13:05:54Yes215 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
Igor ShesterkinKings (LA )G281995-12-30 13:26:15Yes189 Lbs6 ft1NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Ilya SorokinKings (LA )G281995-08-04 03:05:57Yes195 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
J.T. CompherKings (LA )C291995-04-08 08:55:06Yes193 Lbs6 ft0NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Jack HughesKings (LA )C222001-05-14 06:37:03Yes175 Lbs5 ft11NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Joel FarabeeKings (LA )LW242000-02-25 06:34:13Yes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Joseph WollKings (LA )G251998-07-12 04:20:14Yes203 Lbs6 ft4NoNoTrade2024-03-02NoNo2Pro & Farm766,667$0$0$No766,667$--------No--------
Juuso ParssinenKings (LA )C232001-02-01 03:44:43Yes212 Lbs6 ft3NoNoN/ANoNo3Pro & Farm850,833$0$0$No850,833$850,833$-------NoNo-------
Kaapo KakkoKings (LA )RW232001-02-13 06:26:24Yes206 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Kirill KaprizovKings (LA )LW271997-04-26 13:29:06Yes202 Lbs5 ft10NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Logan ThompsonKings (LA )G271997-02-25 04:21:20Yes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm766,667$0$0$No766,667$--------No--------
Matias MaccelliKings (LA )LW232000-10-14 14:22:16Yes176 Lbs5 ft11NoNoN/ANoNo3Pro & Farm853,333$0$0$No853,333$853,333$-------NoNo-------
Mattias SamuelssonKings (LA )D242000-03-14 14:34:03Yes231 Lbs6 ft4NoNoTrade2024-02-25NoNo1Pro & Farm925,000$0$0$No------------------
Michael BuntingKings (LA )RW281995-09-17 04:08:07Yes192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm950,000$0$0$No------------------
Nicolas HagueKings (LA )D251998-12-05 13:40:06Yes230 Lbs6 ft6NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Noah CatesKings (LA )LW251999-02-05 14:20:45Yes165 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Noah DobsonKings (LA )D242000-01-07 03:09:05Yes194 Lbs6 ft4NoNoN/ANoNo3Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------
Oscar KlefbomKings (LA )D301993-07-20 11:11:13No222 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Owen PowerKings (LA )D212002-11-22 06:17:06Yes218 Lbs6 ft6NoNoN/ANoNo3Pro & Farm916,667$0$0$No916,667$916,667$-------NoNo-------
Robert ThomasKings (LA )C241999-07-02 12:51:18Yes218 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Roope HintzKings (LA )LW271996-11-17 02:27:43Yes215 Lbs6 ft3NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Sean DurziKings (LA )D251998-10-21 04:36:42Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Yegor ZamulaKings (LA )D242000-03-30 11:28:00Yes176 Lbs6 ft3NoNoN/ANoNo2Pro & Farm756,667$0$0$No756,667$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.11200 Lbs6 ft22.301,607,809$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roope HintzJack HughesAndrei Svechnikov35122
2Kirill KaprizovRobert ThomasGabriel Vilardi35122
3Noah CatesJ.T. CompherKaapo Kakko25122
4Michael BuntingJuuso ParssinenDrake Batherson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah Dobson35122
2Andrew PeekeSean Durzi35122
3Mattias SamuelssonOwen Power30122
4Noah Dobson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roope HintzJack HughesAndrei Svechnikov60113
2Kirill KaprizovRobert ThomasGabriel Vilardi40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Durzi60122
2J.T. CompherNoah Dobson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasRoope Hintz60122
2J.T. CompherNoah Cates40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew Peeke60122
2Mattias SamuelssonOwen Power40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Robert Thomas60122Andrew Peeke60122
2J.T. Compher40122Mattias SamuelssonOwen Power40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasRoope Hintz60122
2J.T. CompherAndrei Svechnikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew Peeke60122
2Noah DobsonMattias Samuelsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roope HintzJack HughesRobert ThomasSean Durzi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roope HintzJ.T. CompherRobert ThomasAndrew Peeke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaapo Kakko, J.T. Compher, Noah CatesKaapo Kakko, Robert ThomasNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Durzi, Owen Power, Mattias SamuelssonAndrew PeekeMattias Samuelsson, Owen Power
Tirs de pénalité
J.T. Compher, Roope Hintz, Drake Batherson, Andrei Svechnikov, Kirill Kaprizov
Gardien
#1 : Igor Shesterkin, #2 : Ilya Sorokin
Lignes d’attaque personnalisées en prolongation
Noah Cates, Roope Hintz, J.T. Compher, Andrei Svechnikov, Kirill Kaprizov, Robert Thomas, Robert Thomas, Jack Hughes, Gabriel Vilardi, Michael Bunting, Drake Batherson
Lignes de défense personnalisées en prolongation
, Andrew Peeke, Mattias Samuelsson, Noah Dobson, Sean Durzi


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
1Avalanche30200010613-71010000017-62010001056-120.333691500699189209888383981269901926621000.00%8450.00%11022199651.20%1048202751.70%610122549.80%1875113717277131394710
2Blackhawks513000011119-831100001911-22020000028-630.300111627006991892015888383981269136453211211218.18%11281.82%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
3Blues3210000012102211000007701100000053240.66712193100699189209988383981269861713719222.22%4175.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
4Bruins330000001055110000003212200000073461.0001016260069918920928838398126985341185500.00%30100.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
5Canadiens31101000871210010007521010000012-140.66781523006991892095883839812699839197210220.00%7185.71%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
6Canucks5300002017982100001086232000010936101.000172744006991892013488383981269149408514222836.36%19289.47%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
7Capitals301001101112-1201000106601000010056-130.50011182900699189209288383981269993414616116.67%7271.43%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
8Devils321000001082110000003122110000077040.667101323006991892010288383981269862918677114.29%40100.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
9Ducks53101000211382100100084432100000139480.800213859006991892014788383981269140459414834617.65%17382.35%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
10Flames54100000161333210000010912200000064280.800162743006991892013888383981269141449313719421.05%24387.50%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
11Flyers330000001138110000004222200000071661.000112031016991892010388383981269842811755240.00%30100.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
12Islanders320000101385220000008441000001054161.000132134006991892096883839812698725489400.00%2150.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
13Maple Leafs31001100761100010003212100010044050.83371219006991892010388383981269111261469300.00%70100.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
14Oilers521002001919022000000835301002001116-560.6001933520069918920161883839812691716113412726519.23%22768.18%11022199651.20%1048202751.70%610122549.80%1875113717277131394710
15Penguins321000001082211000007611100000032140.66710172700699189209588383981269942727555120.00%6183.33%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
16Predators4200011013103210001006512100001075270.875131932006991892012588383981269109405212114321.43%16381.25%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
17Rangers3020001048-41010000014-32010001034-120.33344800699189209388383981269101212082200.00%5260.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
18Red Wings32100000871211000006601100000021140.66781422106991892082883839812691003135706116.67%10280.00%11022199651.20%1048202751.70%610122549.80%1875113717277131394710
19Sabres310010011082200010016601100000042250.833101626006991892010988383981269105388634125.00%4250.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
20Senateurs320001001266110000005142100010075250.8331216280069918920109883839812691024717687114.29%10100.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
21Sharks512010101919030200010912-321001000107360.6001932510069918920155883839812691665713813024312.50%24579.17%11022199651.20%1048202751.70%610122549.80%1875113717277131394710
22Stars32100000871220000007521010000012-140.6678132100699189209188383981269913633671000.00%90100.00%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
23Wild3110010067-11000010012-12110000055030.5006915006991892088883839812691082923681317.69%9277.78%01022199651.20%1048202751.70%610122549.80%1875113717277131394710
Total8240200578226222537412010042321331161741201001550129109201150.7012624246861169918920256588383981269253981292120412564417.19%2224380.63%41022199651.20%1048202751.70%610122549.80%1875113717277131394710
_Since Last GM Reset8240200578226222537412010042321331161741201001550129109201150.7012624246861169918920256588383981269253981292120412564417.19%2224380.63%41022199651.20%1048202751.70%610122549.80%1875113717277131394710
_Vs Conference462113024511481399231160122174713231070123074686610.6631482423900069918920139488383981269138743372311851923417.71%1633280.37%31022199651.20%1048202751.70%610122549.80%1875113717277131394710
_Vs Division251350223092731912630102043349137201210493910380.760921572490069918920735883839812697672475446841252620.80%1062081.13%21022199651.20%1048202751.70%610122549.80%1875113717277131394710

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82115W126242468625652539812921204111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240205782262225
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120104232133116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120101550129109
Derniers 10 matchs
WLOTWOTL SOWSOL
610300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2564417.19%2224380.63%4
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
8838398126969918920
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
1022199651.20%1048202751.70%610122549.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1875113717277131394710


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
210Blackhawks4Kings2BLSommaire du match
422Kings2Ducks4ALSommaire du match
635Sharks4Kings1BLR5Sommaire du match
738Kings3Oilers4ALXSommaire du match
952Kings2Canucks1AWXXSommaire du match
1267Penguins2Kings4BWSommaire du match
1684Flames3Kings4BWSommaire du match
20102Stars2Kings3BWSommaire du match
22112Kings4Predators3AWXXSommaire du match
24126Oilers2Kings5BWSommaire du match
26141Kings5Sharks3AWR5Sommaire du match
27147Red Wings2Kings4BWSommaire du match
31164Kings1Rangers3ALSommaire du match
33174Canadiens2Kings3BWSommaire du match
36192Kings6Devils4AWSommaire du match
38198Blues3Kings1BLSommaire du match
41217Bruins2Kings3BWSommaire du match
44233Kings4Wild2AWSommaire du match
46242Kings2Red Wings1AWSommaire du match
47246Sabres3Kings2BLXXSommaire du match
50261Kings2Rangers1AWXXSommaire du match
51270Canucks2Kings3BWSommaire du match
54283Kings5Blues3AWSommaire du match
56294Rangers4Kings1BLSommaire du match
58307Kings2Flames1AWSommaire du match
60317Oilers1Kings3BWSommaire du match
64338Canucks4Kings5BWXXSommaire du match
66352Kings4Sabres2AWSommaire du match
68362Blackhawks3Kings2BLXXSommaire du match
70371Kings1Canadiens2ALSommaire du match
73384Kings3Predators2AWSommaire du match
74391Islanders1Kings4BWSommaire du match
79409Kings5Sharks4AWXR5Sommaire du match
80414Devils1Kings3BWSommaire du match
83429Kings1Wild3ALSommaire du match
85439Stars3Kings4BWSommaire du match
87452Kings3Maple Leafs2AWSommaire du match
89461Kings2Avalanche4ALSommaire du match
90467Wild2Kings1BLXSommaire du match
94486Senateurs1Kings5BWSommaire du match
98506Penguins4Kings3BLSommaire du match
100518Kings7Ducks4AWSommaire du match
102530Red Wings4Kings2BLSommaire du match
104540Kings3Oilers6ALSommaire du match
108557Flames5Kings3BLSommaire du match
110567Kings5Islanders4AWXXSommaire du match
113579Blues4Kings6BWSommaire du match
115591Kings3Avalanche2AWXXSommaire du match
118601Kings3Flyers1AWSommaire du match
119608Predators3Kings2BLXSommaire du match
122627Ducks3Kings4BWXSommaire du match
124641Kings1Stars2ALSommaire du match
126650Avalanche7Kings1BLSommaire du match
128661Kings3Penguins2AWSommaire du match
130670Kings1Devils3ALSommaire du match
132679Sabres3Kings4BWXSommaire du match
136698Kings1Blackhawks5ALSommaire du match
137704Ducks1Kings4BWSommaire du match
141722Kings1Blackhawks3ALSommaire du match
142728Predators2Kings4BWSommaire du match
145746Kings4Flyers0AWSommaire du match
146751Islanders3Kings4BWSommaire du match
149765Kings4Canucks1AWSommaire du match
151774Sharks2Kings3BWXXR5Sommaire du match
152785Kings4Ducks1AWSommaire du match
155800Maple Leafs2Kings3BWXSommaire du match
157810Kings3Bruins1AWSommaire du match
159823Sharks6Kings5BLR5Sommaire du match
160830Kings5Oilers6ALXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162838Kings3Canucks1AWSommaire du match
164849Kings4Flames3AWSommaire du match
165856Flyers2Kings4BWSommaire du match
168872Capitals3Kings2BLSommaire du match
170884Kings5Capitals6ALXSommaire du match
172897Blackhawks4Kings5BWSommaire du match
175918Capitals3Kings4BWXXSommaire du match
177927Kings4Senateurs1AWSommaire du match
180940Flames1Kings3BWSommaire du match
183950Kings3Senateurs4ALXSommaire du match
184958Kings4Bruins2AWSommaire du match
189970Kings1Maple Leafs2ALXSommaire du match
191979Canadiens3Kings4BWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60002500
Prix des billets8555
Assistance206,00087,500
Assistance PCT83.74%85.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 7159 - 84.22% 708,668$29,055,375$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
7,288,119$ 4,341,084$ 1,313,584$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 4,635,258$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 32,855$ 0$




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

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

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

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

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