Connexion

Kings
GP: 82 | W: 46 | L: 29 | OTL: 7 | P: 99
GF: 278 | GA: 262 | PP%: 15.22% | PK%: 72.08%
DG: Guillaume Laplante | Morale : 71 | Moyenne d’équipe : 72
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Centre de jeu
Kings
46-29-7, 99pts
3
FINAL
2 Blackhawks
37-35-10, 84pts
Team Stats
W2StreakOTL1
22-15-4Home Record25-12-4
24-14-3Away Record12-23-6
5-3-2Last 10 Games2-7-1
3.39Buts par match 2.89
3.20Buts contre par match 2.84
15.22%Pourcentage en avantage numérique15.38%
72.08%Pourcentage en désavantage numérique84.05%
Sabres
38-30-14, 90pts
1
FINAL
2 Kings
46-29-7, 99pts
Team Stats
SOL1StreakW2
19-15-7Home Record22-15-4
19-15-7Away Record24-14-3
4-3-3Last 10 Games5-3-2
3.07Buts par match 3.39
3.00Buts contre par match 3.20
18.86%Pourcentage en avantage numérique15.22%
81.61%Pourcentage en désavantage numérique72.08%
Meneurs d'équipe
Buts
Kirill Kaprizov
33
Passes
Dylan Strome
49
Points
Dylan Strome
80
Plus/Moins
Neal Pionk
19
Victoires
Ilya Sorokin
30
Pourcentage d’arrêts
Ilya Sorokin
0.913

Statistiques d’équipe
Buts pour
278
3.39 GFG
Tirs pour
2599
31.70 Avg
Pourcentage en avantage numérique
15.2%
42 GF
Début de zone offensive
38.3%
Buts contre
262
3.20 GAA
Tirs contre
2649
32.30 Avg
Pourcentage en désavantage numérique
72.1%
55 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralGuillaume Laplante
EntraîneurMichel Therrien
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,850
Billets de saison2,850


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 60
Espoirs2


Historique d'équipe

Saison actuelle46-29-7 (99PTS)
Historique174-126-30 (0.527%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


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
1Teuvo TeravainenX99.0052358984728189915791868080798074727902733,500,000$
2Dylan Strome (R)X99.0055438677798984928593858776686987737902521,500,000$
3Markus GranlundX100.0059328171727690849088878773898162717702923,000,000$
4J.T. Compher (R)X100.0065497675738384838483809267737272717602721,250,000$
5Alex Tuch (R)X100.0070358076818587866985808356776379727602521,500,000$
6Andrei Svechnikov (R)X100.008451748480869283588582637863679271750221925,000$
7Kirill Kaprizov (R)X100.005835938873918983597886608468725574740253925,000$
8Dominik Kubalik (R)X100.007335927673708782517687677674735672730262925,000$
9Kaapo Kakko (R)X100.004735957479748583537975637363669273700212925,000$
10Jack Hughes (R)X100.006436898269898279717367608264739370700202925,000$
11Filip Zadina (R)X100.005735957773768773637372697764678752690221925,000$
12Joel Farabee (R)X100.006443827467879275597274707662668437690222925,000$
13Josh Morrissey (R)X100.0063398574738882813086689854736981747702711,500,000$
14Cale Makar (R)X100.006935938572929083309888727167738773770232880,833$
15Neal Pionk (R)X100.0091527673718787773084658955737041707602632,000,000$
16Brett Pesce (R)X100.0057438567808684733080679852757062707502712,000,000$
17Devon Toews (R)X100.006635927576909275307770795674755270730281700,000$
18Artyom Zub (R)X100.008443836982878567307461765272684160710263925,000$
Rayé
1Alexis Lafrenière (R)X100.006635927579888276626873657761669419690203925,000$
2Yegor Sharangovich (R)X100.005635947180878570647274727165665520690233925,000$
3Gabriel Vilardi (R)X100.005435947184858273817068657263668420670262894,167$
4Michael Bunting (R)X100.007837827072817569706776637071675418670263950,000$
5Joe Veleno (R)X100.006236746577848264796362686762667820640223894,167$
6Alex Barré-Boulet (R)X100.005635946667898568786267636567645520640243758,333$
7Alexander Chmelevski (R)X100.006239876370828366766561626563625820630223778,333$
8Oscar KlefbomX100.0061418773829083713080699455787168187502821,750,000$
9Nicolas Hague (R)X100.008376826798818468307363705265687719700232791,667$
10Philippe Myers (R)X100.007968827192867768307264695366685519690251678,333$
11Juuso Valimaki (R)X100.005941836583867469307259715465678320670231894,166$
12Wyatt Kalynuk (R)X100.007335946776827968306972665467685320670253925,000$
13Caleb Jones (R)X100.006142896674847771307161665667665920660241790,000$
MOYENNE D’ÉQUIPE99.94654186737785847654777374666969704871
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
1Ilya Sorokin (R)100.00888289818792949292888773776172850263925,000$
2Igor Shesterkin (R)100.00869289778589919089868572765875840262925,000$
Rayé
1Kaapo Kähkönen (R)100.00839085838286888786836973587018820253725,000$
MOYENNE D’ÉQUIPE100.0086888880858991908986807370635584
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien88998690999989CAN5811,000,000$


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
1Dylan StromeKings (LA )C82314980101751191782428415412.81%36162319.8071522442510001589354.62%19373922110.9906001754
2Teuvo TeravainenKings (LA )RW82304272695951042979018010.10%28152518.605121741241000002448.96%967729000.9426001443
3Kirill KaprizovKings (LA )LW823336690135112982457714513.47%30148118.06681426250000046348.45%97618010.9311010632
4Markus GranlundKings (LA )C82323365132601312261906210416.84%37142417.3711221921371482356.30%15562924000.9123000674
5Alex TuchKings (LA )RW7830346414360136932417613112.45%34139717.928311221970001393246.34%823331000.9200000197
6Andrei SvechnikovKings (LA )LW82253560155915205921875210813.37%32151018.428816231953038552133.33%873621000.7935012455
7J.T. CompherKings (LA )C80213455106201471501985411210.61%30138817.3628101725602241313052.35%9152724100.7900000324
8Dominik KubalikKings (LA )LW822219411360122831785212112.36%19116614.22000031123777232.38%1054218100.7000000227
9Kaapo KakkoKings (LA )RW8214223610953247137358010.22%16103012.56000016000003130.36%562410000.7000100111
10Cale MakarKings (LA )D777233072010813411348456.19%84177423.044812172570001121000.00%05534000.3400000111
11Jack HughesKings (LA )C81101727-41405967100376410.00%118099.9906641820110272142.81%306289000.6700000022
12Neal PionkKings (LA )D82223251970101861178431342.38%80172020.980114166011095000.00%02146000.2900020001
13Brett PesceKings (LA )D801222316140511134927202.04%79137517.19000050000106100.00%01644000.3300000010
14Josh MorrisseyKings (LA )D82119207515861229036421.11%108176221.4900031020112156100.00%02372000.2300100011
15Devon ToewsKings (LA )D82116171120721364622212.17%75152218.57011571011156000.00%01042000.2200000001
16Artyom ZubKings (LA )D72015151240129804111140.00%64115516.050000900014200100.00%1640000.2600000000
17Filip ZadinaKings (LA )RW726713-67527416526369.23%95317.3800000000002041.67%1289000.4900100000
18Joel FarabeeKings (LA )LW50347-21404533419287.32%74288.5800009000050027.27%11103000.3300000000
19Anthony Mantha KingsLW943742017102272618.18%719121.291126330001180050.00%857000.7301000100
20Yegor SharangovichKings (LA )LW33134-4601827198105.26%32838.59000040000110041.18%1746000.2800000000
21Oscar KlefbomKings (LA )D3101-3004331033.33%45217.530000700000000.00%003000.3800000000
22Philippe MyersKings (LA )D2011100322110.00%03015.180000001100000.00%010000.6600000000
23Nicolas HagueKings (LA )D12011-14016135340.00%1318115.120000000006000.00%008000.1100000000
24Alexis LafrenièreKings (LA )LW5000-100201200.00%0489.6100001000000025.00%400000.0000000000
25Michael BuntingKings (LA )RW2000-100103010.00%1147.120000000000000.00%010000.0000000000
Statistiques d’équipe totales ou en moyenne147627545873313544755192319692599851148110.58%8072442916.55427211421422826915301165432052.50%5290556510320.60822344364343
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
1Ilya SorokinKings (LA )53301640.9132.743021201381579663100.545115032824
2Igor ShesterkinKings (LA )34161230.8893.671882011151033439010.77893148131
3Kaapo KähkönenKings (LA )10100.8615.00600053619000.000012000
Statistiques d’équipe totales ou en moyenne88462970.9033.1249632125826481121110.650208282955


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Alex Barré-BouletKings (LA )C241997-05-21 04:20:32Yes181 Lbs5 ft10NoNoNo3Pro & Farm758,333$3,970$0$0$No758,333$758,333$
Alex TuchKings (LA )RW251996-05-10 10:00:42Yes222 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$7,853$0$0$No1,500,000$
Alexander ChmelevskiKings (LA )C221999-06-09 03:12:24Yes187 Lbs6 ft0NoNoNo3Pro & Farm778,333$4,075$0$0$No778,333$778,333$
Alexis LafrenièreKings (LA )LW202001-10-11 03:19:56Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Andrei SvechnikovKings (LA )LW222000-03-26 06:13:21Yes195 Lbs6 ft2NoNoNo1Pro & Farm925,000$4,843$0$0$No
Artyom ZubKings (LA )D261995-10-03 03:56:47Yes198 Lbs6 ft2NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Brett PesceKings (LA )D271994-11-15 17:11:13Yes206 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$10,471$0$0$No
Cale MakarKings (LA )D231998-10-30 01:24:09Yes187 Lbs5 ft11NoNoNo2Pro & Farm880,833$4,612$0$0$No880,833$
Caleb JonesKings (LA )D241997-06-06 08:53:26Yes194 Lbs6 ft1NoNoNo1Pro & Farm790,000$4,136$0$0$No
Devon ToewsKings (LA )D281994-02-21 07:36:08Yes192 Lbs6 ft1NoNoNo1Pro & Farm700,000$3,665$0$0$No
Dominik KubalikKings (LA )LW261995-08-21 06:40:03Yes179 Lbs6 ft2NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Dylan StromeKings (LA )C251997-03-07 13:29:38Yes200 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$7,853$0$0$No1,500,000$
Filip ZadinaKings (LA )RW221999-11-27 04:55:45Yes195 Lbs6 ft0NoNoNo1Pro & Farm925,000$4,843$0$0$No
Gabriel VilardiKings (LA )C261995-07-12 13:05:54Yes201 Lbs6 ft3NoNoNo2Pro & Farm894,167$4,682$0$0$No894,167$
Igor ShesterkinKings (LA )G261995-12-30 13:26:15Yes183 Lbs6 ft1NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Ilya SorokinKings (LA )G261995-08-04 03:05:57Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
J.T. CompherKings (LA )C271995-04-08 08:55:06Yes193 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Jack HughesKings (LA )C202001-05-14 06:37:03Yes176 Lbs5 ft11NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Joe VelenoKings (LA )C222000-01-13 03:17:34Yes194 Lbs6 ft1NoNoNo3Pro & Farm894,167$4,682$0$0$No894,167$894,167$
Joel FarabeeKings (LA )LW222000-02-25 06:34:13Yes163 Lbs6 ft0NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Josh MorrisseyKings (LA )D271995-03-28 16:21:22Yes195 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$7,853$0$0$No
Juuso ValimakiKings (LA )D231998-10-06 05:14:16Yes212 Lbs6 ft2NoNoNo1Pro & Farm894,166$4,681$0$0$No
Kaapo KakkoKings (LA )RW212001-02-13 06:26:24Yes198 Lbs6 ft2NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Kaapo KähkönenKings (LA )G251996-08-16 13:55:07Yes214 Lbs6 ft2NoNoNo3Pro & Farm725,000$3,796$0$0$No725,000$725,000$
Kirill KaprizovKings (LA )LW251997-04-26 13:29:06Yes201 Lbs5 ft10NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Markus GranlundKings (LA )C291993-04-16 11:11:13No180 Lbs6 ft0NoNoNo2Pro & Farm3,000,000$15,707$0$0$No3,000,000$
Michael BuntingKings (LA )RW261995-09-17 04:08:07Yes185 Lbs6 ft0NoNoNo3Pro & Farm950,000$4,974$0$0$No950,000$950,000$
Neal PionkKings (LA )D261995-07-29 10:28:15Yes186 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$10,471$0$0$No2,000,000$2,000,000$
Nicolas HagueKings (LA )D231998-12-05 13:40:06Yes214 Lbs6 ft6NoNoNo2Pro & Farm791,667$4,145$0$0$No791,667$
Oscar KlefbomKings (LA )D281993-07-20 11:11:13No222 Lbs6 ft3NoNoNo2Pro & Farm1,750,000$9,162$0$0$No1,750,000$
Philippe MyersKings (LA )D251997-01-25 08:14:37Yes209 Lbs6 ft5NoNoNo1Pro & Farm678,333$3,551$0$0$No
Teuvo TeravainenKings (LA )RW271994-09-11 17:11:13No191 Lbs5 ft11NoNoNo3Pro & Farm3,500,000$18,325$0$0$No3,500,000$3,500,000$
Wyatt KalynukKings (LA )D251997-04-14 04:11:48Yes181 Lbs6 ft1NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Yegor SharangovichKings (LA )LW231998-06-06 03:48:41Yes203 Lbs6 ft2NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3424.59195 Lbs6 ft12.151,169,412$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrei SvechnikovDylan StromeTeuvo Teravainen34122
2Kirill KaprizovMarkus GranlundAlex Tuch33122
3Dominik KubalikJ.T. CompherKaapo Kakko28122
4Joel FarabeeJack HughesFilip Zadina5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyCale Makar35122
2Neal PionkDevon Toews35122
3Brett PesceArtyom Zub30122
4Josh MorrisseyCale Makar0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovDylan StromeTeuvo Teravainen60122
2Andrei SvechnikovJack HughesAlex Tuch40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1J.T. CompherCale Makar60122
2Neal PionkDevon Toews40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Markus GranlundJ.T. Compher60122
2Dylan StromeAlex Tuch40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyDevon Toews60122
2Neal PionkBrett Pesce40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Strome60122Josh MorrisseyDevon Toews60122
2Markus Granlund40122Neal PionkBrett Pesce40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan StromeDominik Kubalik60122
2Markus GranlundTeuvo Teravainen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyDevon Toews60122
2Neal PionkBrett Pesce40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrei SvechnikovDylan StromeTeuvo TeravainenDevon ToewsCale Makar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KubalikDylan StromeMarkus GranlundJosh MorrisseyBrett Pesce
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaapo Kakko, Kirill Kaprizov, Dominik KubalikJack Hughes, Kirill KaprizovDominik Kubalik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Devon Toews, Artyom Zub, Neal PionkCale MakarArtyom Zub, Neal Pionk
Tirs de pénalité
Dylan Strome, Andrei Svechnikov, Teuvo Teravainen, Markus Granlund, Kirill Kaprizov
Gardien
#1 : Ilya Sorokin, #2 : Igor Shesterkin
Lignes d’attaque personnalisées en prolongation
Dylan Strome, Kirill Kaprizov, Teuvo Teravainen, Markus Granlund, Alex Tuch, Dominik Kubalik, Dominik Kubalik, Andrei Svechnikov, Kaapo Kakko, Filip Zadina, Jack Hughes
Lignes de défense personnalisées en prolongation
Josh Morrissey, Devon Toews, Neal Pionk, Artyom Zub, Brett Pesce


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
1Avalanche41201000111012020000057-22100100063340.5001122330086811031314791383382451129386811400.00%3166.67%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
2Blackhawks5410000015132330000009542110000068-280.8001524390086811031314491383382451162743412013538.46%17476.47%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
3Blues41100110990210001003212010001067-150.6259122101868110313121913833824511424022981500.00%11190.91%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
4Bruins2010010068-21000010034-11010000034-110.25061117008681103136591383382451762624211100.00%10100.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
5Canadiens3200000113103210000017701100000063350.83313203300868110313108913833824511103312736116.67%6183.33%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
6Canucks632010001916331101000910-132100000106480.6671933520086811031316891383382451211643613823313.04%13376.92%11082200853.88%1034197152.46%661125952.50%1826109317347151407721
7Capitals22000000624110000004131100000021141.000610160086811031360913833824516627043400.00%000.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
8Devils2110000067-11010000025-31100000042220.5006111700868110313659138338245161172485360.00%10100.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
9Ducks624000002127-631200000914-5312000001213-140.3332134551086811031318891383382451195563713727311.11%16662.50%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
10Flames633000002718932100000159631200000129360.5002746730086811031320291383382451174486215238615.79%21480.95%21082200853.88%1034197152.46%661125952.50%1826109317347151407721
11Flyers21100000541110000004221010000012-120.50058130086811031363913833824516617445400.00%20100.00%11082200853.88%1034197152.46%661125952.50%1826109317347151407721
12Islanders2100010010821000010056-11100000052330.7501019290086811031370913833824515715852500.00%4250.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
13Maple Leafs220000001073110000003121100000076141.00010142400868110313709138338245169208425120.00%4175.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
14Oilers633000002129-8321000001112-1312000001017-760.500213758008681103131719138338245120069581382727.41%24866.67%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
15Penguins20200000611-51010000036-31010000035-200.000610160086811031354913833824516620843300.00%4325.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
16Predators412000101213-12020000047-32100001086240.500121830008681103131309138338245113442128017211.76%6183.33%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
17Rangers2110000035-21010000004-41100000031220.500369008681103135991383382451701815527114.29%5260.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
18Red Wings3210000014861010000045-122000000103740.66714233700868110313104913833824519820107411100.00%5180.00%21082200853.88%1034197152.46%661125952.50%1826109317347151407721
19Sabres20001010642100000102111000100043141.000681400868110313599138338245150188515120.00%4250.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
20Senateurs2010000159-41010000025-31000000134-110.250571200868110313699138338245168192403133.33%110.00%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
21Sharks75100100292183210000015123430001001495110.7862946750086811031321991383382451214676717431825.81%311164.52%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
22Stars421000011011-1220000006422010000147-350.6251015250086811031311991383382451102281810412216.67%9188.89%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
23Wild4110200014122210010005322010100099060.750142438008681103131449138338245112931189610110.00%9277.78%01082200853.88%1034197152.46%661125952.50%1826109317347151407721
Total823829054332782621641191502311130132-24119140312214813018990.60427845873611868110313259991383382451264980744919232764215.22%1975572.08%61082200853.88%1034197152.46%661125952.50%1826109317347151407721
_Since Last GM Reset823829054332782621641191502311130132-24119140312214813018990.60427845873611868110313259991383382451264980744919232764215.22%1975572.08%61082200853.88%1034197152.46%661125952.50%1826109317347151407721
_Vs Conference56262104221188179928151002100918562811110212197943670.59818831149911868110313175391383382451179255737013182273214.10%1604273.75%31082200853.88%1034197152.46%661125952.50%1826109317347151407721
_Vs Division3116130110011711161586010005957216870010058544350.56511719631310868110313948913833824519943042607391462215.07%1053269.52%31082200853.88%1034197152.46%661125952.50%1826109317347151407721

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299W227845873625992649807449192311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8238295433278262
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119152311130132
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4119143122148130
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2764215.22%1975572.08%6
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
91383382451868110313
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
1082200853.88%1034197152.46%661125952.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1826109317347151407721


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
1 - 2021-10-152Flames2Kings4BWSommaire du match
3 - 2021-10-1715Kings2Flames4ALSommaire du match
5 - 2021-10-1921Kings4Sharks2AWR5Sommaire du match
7 - 2021-10-2127Kings7Canucks2AWSommaire du match
9 - 2021-10-2341Kings4Blues3AWXXSommaire du match
11 - 2021-10-2548Blackhawks2Kings3BWSommaire du match
14 - 2021-10-2865Kings5Oilers3AWSommaire du match
15 - 2021-10-2972Canucks2Kings4BWSommaire du match
18 - 2021-11-0186Kings3Sharks1AWR5Sommaire du match
20 - 2021-11-0395Sharks2Kings4BWSommaire du match
23 - 2021-11-06113Kings5Ducks6ALSommaire du match
24 - 2021-11-07119Avalanche4Kings3BLSommaire du match
29 - 2021-11-12139Kings5Predators4AWXXSommaire du match
30 - 2021-11-13144Ducks4Kings7BWSommaire du match
33 - 2021-11-16161Kings3Avalanche1AWSommaire du match
34 - 2021-11-17168Oilers3Kings4BWSommaire du match
37 - 2021-11-20179Kings5Wild6ALSommaire du match
39 - 2021-11-22191Sharks5Kings9BWR5Sommaire du match
41 - 2021-11-24198Kings3Blackhawks6ALSommaire du match
44 - 2021-11-27215Stars3Kings4BWSommaire du match
46 - 2021-11-29223Kings3Bruins4ALSommaire du match
49 - 2021-12-02238Flames4Kings3BLSommaire du match
51 - 2021-12-04251Kings6Canadiens3AWSommaire du match
53 - 2021-12-06262Flames3Kings8BWSommaire du match
55 - 2021-12-08274Kings2Flames3ALSommaire du match
57 - 2021-12-10284Kings4Ducks5ALSommaire du match
58 - 2021-12-11290Bruins4Kings3BLXSommaire du match
61 - 2021-12-14306Kings3Predators2AWSommaire du match
62 - 2021-12-15312Blackhawks2Kings4BWSommaire du match
65 - 2021-12-18326Kings4Wild3AWXSommaire du match
66 - 2021-12-19336Blackhawks1Kings2BWSommaire du match
71 - 2021-12-24356Blues0Kings2BWSommaire du match
73 - 2021-12-26364Kings3Avalanche2AWXSommaire du match
75 - 2021-12-28377Kings5Islanders2AWSommaire du match
76 - 2021-12-29384Red Wings5Kings4BLSommaire du match
79 - 2022-01-01399Kings3Rangers1AWSommaire du match
81 - 2022-01-03408Oilers4Kings5BWSommaire du match
84 - 2022-01-06424Kings8Flames2AWSommaire du match
86 - 2022-01-08432Canadiens3Kings4BWSommaire du match
88 - 2022-01-10447Kings3Senateurs4ALXXSommaire du match
89 - 2022-01-11454Oilers5Kings2BLSommaire du match
92 - 2022-01-14471Kings2Capitals1AWSommaire du match
94 - 2022-01-16479Kings1Flyers2ALSommaire du match
95 - 2022-01-17481Canucks4Kings5BWXSommaire du match
98 - 2022-01-20503Sharks5Kings2BLR5Sommaire du match
101 - 2022-01-23517Kings4Devils2AWSommaire du match
102 - 2022-01-24526Senateurs5Kings2BLSommaire du match
107 - 2022-01-29550Devils5Kings2BLSommaire du match
109 - 2022-01-31564Kings3Penguins5ALSommaire du match
110 - 2022-02-01573Canadiens4Kings3BLXXSommaire du match
114 - 2022-02-05590Kings3Ducks2AWSommaire du match
115 - 2022-02-06598Penguins6Kings3BLSommaire du match
119 - 2022-02-10617Capitals1Kings4BWSommaire du match
121 - 2022-02-12631Kings5Sharks3AWR5Sommaire du match
123 - 2022-02-14642Maple Leafs1Kings3BWSommaire du match
125 - 2022-02-16654Kings4Red Wings1AWSommaire du match
127 - 2022-02-18666Stars1Kings2BWSommaire du match
128 - 2022-02-19673Kings2Blues4ALSommaire du match
131 - 2022-02-22688Kings1Canucks3ALSommaire du match
133 - 2022-02-24694Ducks5Kings1BLSommaire du match
135 - 2022-02-26708Kings1Oilers8ALSommaire du match
136 - 2022-02-27717Ducks5Kings1BLSommaire du match
138 - 2022-03-01732Kings4Oilers6ALSommaire du match
141 - 2022-03-04743Blues2Kings1BLXSommaire du match
144 - 2022-03-07760Kings4Sabres3AWXSommaire du match
145 - 2022-03-08768Predators2Kings1BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-03-13790Predators5Kings3BLSommaire du match
152 - 2022-03-15798Kings7Maple Leafs6AWSommaire du match
154 - 2022-03-17811Flyers2Kings4BWSommaire du match
156 - 2022-03-19827Kings2Sharks3ALXR5Sommaire du match
158 - 2022-03-21835Kings6Red Wings2AWSommaire du match
159 - 2022-03-22839Canucks4Kings0BLSommaire du match
161 - 2022-03-24846Kings2Stars3ALXXSommaire du match
162 - 2022-03-25857Kings2Canucks1AWSommaire du match
164 - 2022-03-27864Wild2Kings3BWXSommaire du match
168 - 2022-03-31886Wild1Kings2BWSommaire du match
169 - 2022-04-01893Kings2Stars4ALSommaire du match
173 - 2022-04-05912Islanders6Kings5BLXSommaire du match
177 - 2022-04-09932Avalanche3Kings2BLSommaire du match
182 - 2022-04-14954Rangers4Kings0BLSommaire du match
184 - 2022-04-16961Kings3Blackhawks2AWSommaire du match
190 - 2022-04-22983Sabres1Kings2BWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5535
Assistance77,90038,950
Assistance PCT95.00%95.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2850 - 95.00% 185,962$7,624,442$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,945,291$ 3,976,000$ 2,176,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
20,817$ 3,950,627$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 26,052$ 26,052$




Kings Leaders statistiques (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
1Dylan Strome24692153245465433052370812.99%98464418.88244771120000222954.15%31.05112
2Alex Tuch238801011813110041932371511.19%110423017.781710275100027446.61%00.8600
3J.T. Compher240661011673016338949357911.40%105425717.746202648066108053.05%00.7800
4Teuvo Teravainen1646185146111818820759710.22%58304918.591025358200004848.45%00.96411
5Kirill Kaprizov1646772139-22622519549013.67%60295918.0513162953000012648.45%20.9422

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
1Ilya Sorokin106593380.9122.7860364028031721325200.50018
2Igor Shesterkin71332660.8883.703897422402149915020.77818
3Philipp Grubauer47301420.9062.952707401331411591500.69213
4Pavel Francouz38191040.8883.382130401201073474100.64717
5Kaapo Kähkönen20200.8615.0012000107238000.0000

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
Saison régulière
1282264101365267304-3741122201222134166-3241141900143133138-55226743069741859580122888107699379261300395377019962724014.71%2474482.19%21058215149.19%986213146.27%622127848.67%1813106017417431428717
158239260536335326687412411022201981217741151503143155145101063535919440011612310317256288883281855256790954620902826523.05%2324978.88%51000190752.44%1005190752.70%722130755.24%1881115317207051375699
16823830054232802661441191602301132136-441191403122148130189728046374311878010611260291682982946266381045119152774415.88%1985572.22%61081200853.83%1039198452.37%661126452.29%1822109017357151405719
16823829054332782621641191502311130132-241191403122148130189927845873611868110313259991383382451264980744919232764215.22%1975572.08%61082200853.88%1034197152.46%661125952.50%1826109317347151407721
Total Saison régulière3281411260161417141178109880164746407105459455539164676209412105845434135411781942312063374379392531065137933487326321310882347922167924110719117.25%87420376.77%194221807452.28%4064799350.84%2666510852.19%734343986931287956172858
Séries éliminatoires
15624000002122-13120000011101312000001012-2421365702103801635656510186601071722528.00%31874.19%15914042.14%7615947.80%449546.32%129721275610754
Total Séries éliminatoires624000002122-13120000011101312000001012-2421365702103801635656510186601071722528.00%31874.19%15914042.14%7615947.80%449546.32%129721275610754

Kings Leaders statistiques (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
1Nick Schmaltz6358205121816.67%19716.31112300000038.46%01.6400
2Pierre-Luc Dubois6257362381315.38%210217.03112200000050.00%01.3700
3Alex Tuch6426661881625.00%510517.66000001100025.00%01.1300
4J.T. Compher62463817191118.18%311919.91000010120048.30%01.0000
5Ondrej Kase 6235-22891315.38%49515.91000100000012.50%01.0500

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
1Pavel Francouz21010.9261.941240145418000.0000
2Philipp Grubauer41300.8644.50240011813255000.0000