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Kings
GP: 22 | W: 13 | L: 9
GF: 74 | GA: 66 | PP%: 25.35% | PK%: 87.36%
DG: Guillaume Laplante | Morale : 83 | Moyenne d’équipe : 73

Centre de jeu
Kings
13-9-0, 26pts
3
FINAL
4 Canadiens
16-6-0, 32pts
Team Stats
OTL2SéquenceW2
6-6-0Fiche domicile7-4-0
7-3-0Fiche domicile9-2-0
5-2-3Derniers 10 matchs9-1-0
3.36Buts par match 3.68
3.00Buts contre par match 2.82
25.35%Pourcentage en avantage numérique20.75%
87.36%Pourcentage en désavantage numérique91.18%
Canadiens
16-6-0, 32pts
2
FINAL
1 Kings
13-9-0, 26pts
Team Stats
W2SéquenceOTL2
7-4-0Fiche domicile6-6-0
9-2-0Fiche domicile7-3-0
9-1-0Derniers 10 matchs5-2-3
3.68Buts par match 3.36
2.82Buts contre par match 3.00
20.75%Pourcentage en avantage numérique25.35%
91.18%Pourcentage en désavantage numérique87.36%
Meneurs d'équipe
Buts
Andrei Svechnikov
14
Passes
Kirill Kaprizov
19
Points
Kirill Kaprizov
26
Plus/Moins
Nicolas Hague
7
Victoires
Ilya Sorokin
9
Pourcentage d’arrêts
Logan Thompson
0.91

Statistiques d’équipe
Buts pour
74
3.36 GFG
Tirs pour
710
32.27 Avg
Pourcentage en avantage numérique
25.4%
18 GF
Début de zone offensive
37.0%
Buts contre
66
3.00 GAA
Tirs contre
701
31.86 Avg
Pourcentage en désavantage numérique
87.4%%
11 GA
Début de la zone défensive
41.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,500
Assistance8,500
Billets de saison8,500


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 60
Espoirs3


Historique d'équipe

Saison actuelle13-9
Historique94-56-22 (0.547%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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
1Andrei Svechnikov (R)X100.0080466585838583914092868125887456828002513,000,000$
2Kirill Kaprizov (R)X100.0071447388798981944185946825996746807902833,000,000$
3Robert Thomas (R)X100.0066437784878985898088798372857464817802512,000,000$
4Filip Chytil (R)X100.0063447684868086916484847225888060827702533,000,000$
5Drake Batherson (R)X100.0075467379848985875281816825857461837502712,000,000$
6Joel Farabee (R)X100.0072597487788784855180767225887056847502521,500,000$
7Anton Lundell (R)X100.007146738782867984788173762582604884750232925,000$
8Gabriel Vilardi (R)X100.0064468576888681857177817325867050827402511,500,000$
9Michael Bunting (R)X100.0073586778778685844879787425887456807402921,750,000$
10Noah Cates (R)X100.007243928178857980657773832589634882742262925,000$
11Matias Maccelli (R)X100.006543918477867782468978672582604781742242853,333$
12Kaapo Kakko (R)X100.0067448782868582784978787625836753227302421,500,000$
13Noah Dobson (R)X100.0070437989859184894085778625876956827902522,500,000$
14Andrew Peeke (R)X100.0078458484818083824073739725837149827902723,000,000$
15Sean Durzi (R)X100.006859688580897986408077812588644484760261925,000$
16Nicolas Hague (R)X100.0075647172938783764070658325776950817402621,500,000$
17Mattias Samuelsson (R)X100.0070437674929178764069648625786552827402531,750,000$
18Owen Power (R)X100.006542807690907883407767812580624682742222916,667$
Rayé
1Juuso Parssinen (R)X100.007248857687837169767366692578584876681242850,833$
2Dmitri Voronkov (R)X100.007057677083767076607072682572535020672243925,000$
3Leo Carlsson (R)X100.006643797176796973517168662571525031661203950,000$
4Adam Fantilli (R)X100.006843777076786773617068652570525020651203950,000$
5Justin Brazeau (R)X100.007043726275666564446260672562545019602273775,000$
6James Malatesta (R)X100.006046596363626162415758562561505020562223841,667$
7Michael Kesselring (R)X100.007162647375767173406865722571564963672253925,000$
8Yegor Zamula (R)X100.006341747376767370407062712568595320660251756,667$
9Simon Nemec (R)X100.006449727675766771407063732570525019662213918,333$
MOYENNE D’ÉQUIPE100.00694876788183778051767375278064526372
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)100.009487908294999999999360936548839002913,000,000$
2Logan Thompson (R)99.00878586879594939493925085635082870281766,667$
Rayé
1Devon Levi (R)100.00797373767680797980763074565129752232925,000$
2Joseph Woll (R)100.00777171777681808181753070575229740261766,667$
3Dustin Wolf (R)100.00797072657480798181754067555129732243813,333$
MOYENNE D’ÉQUIPE99.8083777877838786878782427859505080
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan8687918787821CAN5612,000,000$


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
1Kirill KaprizovKings (LA )LW22719265161041288520498.24%740918.622791355000041144.12%34221001.2700020231
2Andrei SvechnikovKings (LA )RW221411256315582683174916.87%1243119.6334713560001284030.77%26106011.1600001421
3Anton LundellKings (LA )C227111813610475446122415.22%942419.302249520001390060.05%44377000.8500101012
4Matias MaccelliKings (LA )LW225131810023296121438.20%738017.30134468000001138.89%18123000.9500000202
5Filip ChytilKings (LA )C22981731810335474323512.16%740618.4834715521014362051.28%431157010.8400011010
6Robert ThomasKings (LA )C136915580223340122215.00%1026320.271453300000471054.95%33372001.1400000212
7Noah DobsonKings (LA )D2221012-16033383113186.45%2151823.55257669000160000%0614000.4600000002
8Joel FarabeeKings (LA )LW22641003515413346162713.04%731814.471017310000191060.00%1577000.6300201010
9Gabriel VilardiKings (LA )RW22549-5195171546152210.87%727112.33202521000001162.86%3555000.6600001200
10Sean DurziKings (LA )D2218963810323620885.00%2642119.1701124000004000%0611000.4300101000
11Drake BathersonKings (LA )RW22347-437540224116317.32%1032314.68112534000000046.67%1553000.4300001011
12Michael BuntingKings (LA )RW20257216102217328216.25%622611.32000010000281023.53%1765000.6200011010
13Noah CatesKings (LA )LW22437-500182126132215.38%828512.990111350002830060.00%1067000.4900000011
14Andrew PeekeKings (LA )D22066-500323222770%2242419.2900000011186000%01317000.2800000000
15Owen PowerKings (LA )D22145-460222414457.14%2133915.410000100000000%0110000.2901000000
16Nicolas HagueKings (LA )D2204473830382512670%1945220.5500000000082000%0314000.1800123010
17Juuso ParssinenKings (LA )C20134-1100171697311.11%71718.5700000000011047.87%9414000.4700000000
18Kaapo KakkoKings (LA )RW31121004371114.29%05317.9300000000000050.00%200000.7400000000
19Mattias SamuelssonKings (LA )D22022-2140223912750%2342019.0900000000056000%009000.1000000000
20Adam FantilliKings (LA )C1000100102000%088.0800000000000033.33%30000000000000
21Leo CarlssonKings (LA )C9000300661110%1475.2400000000000060.87%230000000000000
Statistiques d’équipe totales ou en moyenne39674129203431811056955171023640010.42%230659716.66183250835511121058113353.97%1499132132020.62015611121312
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 )159320.9043.0090021454671810000148100
2Logan ThompsonKings (LA )84310.9102.814492021234840000814110
Statistiques d’équipe totales ou en moyenne2313630.9062.94134941667012650002222210


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam FantilliKings (LA )C202004-10-12CANYes194 Lbs6 ft2NoNoAssign ManuallyNoNo32024-08-23FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Andrei SvechnikovKings (LA )RW252000-03-26RUSYes195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$0$0$No---------------------------
Andrew PeekeKings (LA )D271998-03-17USAYes214 Lbs6 ft3NoNoTrade2024-02-25NoNo2FalseFalsePro & Farm3,000,000$0$0$No3,000,000$-----------------No--------
Anton LundellKings (LA )C232001-10-03FINYes190 Lbs6 ft1NoNoTrade2024-09-08NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$-----------------No--------
Devon LeviKings (LA )G232001-12-27CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Dmitri VoronkovKings (LA )LW242000-09-10RUSYes240 Lbs6 ft5NoNoAssign ManuallyNoNo32024-08-31FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Drake BathersonKings (LA )RW271998-04-27USAYes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------
Dustin WolfKings (LA )G242001-04-16USAYes166 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-31FalseFalsePro & Farm813,333$0$0$No813,333$813,333$-------813,333$813,333$-------NoNo-------
Filip ChytilKings (LA )C251999-09-05CZEYes208 Lbs6 ft2NoNoTrade2024-10-05NoNo32024-09-07FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$----------------NoNo-------
Gabriel VilardiKings (LA )RW251999-08-16CANYes216 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Ilya SorokinKings (LA )G291995-08-04RUSYes195 Lbs6 ft3NoNoN/ANoNo12024-09-14FalseFalsePro & Farm3,000,000$0$0$No---------------------------
James MalatestaKings (LA )C222003-05-31CANYes197 Lbs5 ft9NoNoAssign ManuallyNoNo32024-08-31FalseFalsePro & Farm841,667$0$0$No841,667$841,667$-------841,667$841,667$-------NoNo-------
Joel FarabeeKings (LA )LW252000-02-25USAYes186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$-----------------No--------
Joseph WollKings (LA )G261998-07-12USAYes202 Lbs6 ft3NoNoTrade2024-03-02NoNo1FalseFalsePro & Farm766,667$0$0$No---------------------------
Justin BrazeauKings (LA )RW271998-02-02CANYes240 Lbs6 ft5NoNoAssign ManuallyNoNo32024-08-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Juuso ParssinenKings (LA )C242001-02-01FINYes212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm850,833$0$0$No850,833$--------850,833$--------No--------
Kaapo KakkoKings (LA )RW242001-02-13FINYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$-----------------No--------
Kirill KaprizovKings (LA )LW281997-04-26RUSYes202 Lbs5 ft10NoNoN/ANoNo32024-09-14FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$----------------NoNo-------
Leo CarlssonKings (LA )C202004-12-26SWEYes194 Lbs6 ft3NoNoAssign ManuallyNoNo32024-08-23FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Logan ThompsonKings (LA )G281997-02-25CANYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm766,667$0$0$No---------------------------
Matias MaccelliKings (LA )LW242000-10-14FINYes176 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm853,333$0$0$No853,333$--------853,333$--------No--------
Mattias SamuelssonKings (LA )D252000-03-14USAYes224 Lbs6 ft4NoNoTrade2024-02-25NoNo32024-09-14FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$----------------NoNo-------
Michael BuntingKings (LA )RW291995-09-17CANYes192 Lbs6 ft0NoNoN/ANoNo22024-09-14FalseFalsePro & Farm1,750,000$0$0$No1,750,000$-----------------No--------
Michael KesselringKings (LA )D252000-01-13USAYes190 Lbs6 ft4NoNoAssign ManuallyNoNo32024-08-31FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Nicolas HagueKings (LA )D261998-12-05CANYes240 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------575,000$--------No--------
Noah CatesKings (LA )LW261999-02-05USAYes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Noah DobsonKings (LA )D252000-01-07CANYes200 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm2,500,000$0$0$No2,500,000$-----------------No--------
Owen PowerKings (LA )D222002-11-22CANYes221 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm916,667$0$0$No916,667$--------916,667$--------No--------
Robert ThomasKings (LA )C251999-07-02CANYes218 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------
Sean DurziKings (LA )D261998-10-21CANYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Simon NemecKings (LA )D212004-02-15SVKYes190 Lbs6 ft1NoNoAssign ManuallyNoNo32024-08-23FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------
Yegor ZamulaKings (LA )D252000-03-30RUSYes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm756,667$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.84203 Lbs6 ft22.061,459,661$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovFilip ChytilAndrei Svechnikov35122
2Matias MaccelliRobert ThomasKaapo Kakko35122
3Joel FarabeeAnton LundellDrake Batherson25122
4Noah CatesGabriel VilardiMichael Bunting5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DurziAndrew Peeke35122
2Noah DobsonNicolas Hague35122
3Owen PowerMattias Samuelsson30122
4Noah DobsonOwen Power0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovRobert ThomasAndrei Svechnikov50122
2Filip ChytilAnton LundellGabriel Vilardi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah DobsonMatias Maccelli60122
2Sean DurziJoel Farabee40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasNoah Cates60122
2Anton LundellAndrei Svechnikov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PeekeNicolas Hague60122
2Noah DobsonMattias Samuelsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Robert Thomas60122Andrew PeekeNicolas Hague60122
2Anton Lundell40122Noah DobsonMattias Samuelsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anton LundellKirill Kaprizov60122
2Filip ChytilDrake Batherson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonOwen Power60122
2Noah DobsonNicolas Hague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovRobert ThomasAndrei SvechnikovSean DurziNoah Dobson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovRobert ThomasAndrei SvechnikovMattias SamuelssonAndrew Peeke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matias Maccelli, Gabriel Vilardi, Joel FarabeeGabriel Vilardi, Joel FarabeeNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Power, Nicolas Hague, Sean DurziOwen PowerMattias Samuelsson, Nicolas Hague
Tirs de pénalité
Andrei Svechnikov, Kirill Kaprizov, Gabriel Vilardi, Filip Chytil, Drake Batherson
Gardien
#1 : Logan Thompson, #2 : Ilya Sorokin
Lignes d’attaque personnalisées en prolongation
Andrei Svechnikov, Kirill Kaprizov, Anton Lundell, Filip Chytil, Drake Batherson, Kaapo Kakko, Gabriel Vilardi, Matias Maccelli, Noah Cates, Joel Farabee
Lignes de défense personnalisées en prolongation
Noah Dobson, Owen Power, Sean Durzi, Andrew Peeke, Nicolas Hague


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
1Blackhawks64200000191723300000013943120000068-280.6671932510022232721682332182421721377721528337.50%22481.82%029955553.87%33461854.05%17632554.15%502302474195373186
2Canadiens514000001214-23030000059-42110000075220.2001220320022232721822332182421717058121289111.11%60100.00%029955553.87%33461854.05%17632554.15%502302474195373186
3Canucks6420000025223312000001112-1330000001410480.6672547720022232722102332182421718052124160371027.03%27485.19%029955553.87%33461854.05%17632554.15%502302474195373186
4Oilers5410000018135321000009722200000096380.800183048012223272150233218242171384311412917423.53%32390.63%129955553.87%33461854.05%17632554.15%502302474195373186
Total2213900000746681266000003837110730000036297260.5917412920301222327271023321824217701230322569711825.35%871187.36%129955553.87%33461854.05%17632554.15%502302474195373186
_Since Last GM Reset2213900000746681266000003837110730000036297260.5917412920301222327271023321824217701230322569711825.35%871187.36%129955553.87%33461854.05%17632554.15%502302474195373186
_Vs Conference171250000062521096300000332858620000029245240.7066210917101222327252823321824217531172310441621727.42%811186.42%129955553.87%33461854.05%17632554.15%502302474195373186
_Vs Division1183000004335863300000201915500000023167160.72743771200122232723602332182421731895238289541425.93%59788.14%129955553.87%33461854.05%17632554.15%502302474195373186

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2226OTL27412920371070123032256901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2213900007466
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126600003837
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
107300003629
Derniers 10 matchs
WLOTWOTL SOWSOL
520300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
711825.35%871187.36%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
233218242172223272
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
29955553.87%33461854.05%17632554.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
502302474195373186


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
27Blackhawks2Kings3WXSommaire du match
415Blackhawks3Kings4WSommaire du match
623Kings0Blackhawks3LSommaire du match
831Kings2Blackhawks3LSommaire du match
1039Blackhawks4Kings6WSommaire du match
1247Kings4Blackhawks2WSommaire du match
1660Canucks5Kings4LSommaire du match
1864Canucks2Kings6WSommaire du match
2068Kings3Canucks2WSommaire du match
2272Kings4Canucks2WSommaire du match
2476Canucks5Kings1LSommaire du match
2680Kings7Canucks6WXSommaire du match
3086Oilers5Kings1LSommaire du match
3288Oilers0Kings5WSommaire du match
3490Kings5Oilers3WSommaire du match
3692Kings4Oilers3WSommaire du match
3894Oilers2Kings3WSommaire du match
4399Canadiens4Kings3LXSommaire du match
44100Canadiens3Kings1LSommaire du match
45101Kings4Canadiens1WSommaire du match
46102Kings3Canadiens4LXSommaire du match
47103Canadiens2Kings1LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60002500
Prix des billets8555
Assistance72,00030,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 8500 - 100.00% 874,125$10,489,500$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 4,670,916$ 4,670,916$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1Brock McGinn 162649616084529628055611.51%87343621.2117213882066411239.41%10.93013
2Jack Quinn146637613967223723348912.88%70283919.4591423384041011642.86%10.98111
3Yegor Sharangovich1395361114-102720217944911.80%52269519.39814224501184148.85%00.8526
4Mason Appleton1624562107-294426731938511.69%66273616.89712192200056342.90%00.7811
5Ryan Donato1323171102314526129725812.02%46257619.52323263100003350.17%00.7916

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
1Reto Berra97404170.8973.2653392029028191234320.87023
2Samuel Montembeault63302360.9013.123579201861883716200.81822
3Mads Sogaard2141120.8823.9110124066559245000.6673

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
198238240944327223339411990723114511926411915022121271141310927245072211708610314248580683981453250983587620192244720.98%2644383.71%81070202252.92%1088202553.73%616120451.16%1838110317327291408700
208234320851226925613411617052011311151641181503311138141-3932694427111078849811255489683280632256786558120272363816.10%2243484.82%11015196251.73%1051195653.73%630117653.57%1860113017187041380703
Total Saison régulière1647256017955541489528235260124322762344282373005523265255102025418921433211481702012550391702167116208550761700145740464608518.48%4887784.22%92085398452.33%2139398153.73%1246238052.35%369822343450143327881403
Séries éliminatoires
20734000002023-3422000001213-131200000810-2620335300486223472796518226766118124520.83%28389.29%09618352.46%8919146.60%4911044.55%164991596512261
Total Séries éliminatoires734000002023-3422000001213-131200000810-2620335300486223472796518226766118124520.83%28389.29%09618352.46%8919146.60%4911044.55%164991596512261

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