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Connexion

Kings
GP: 82 | W: 43 | L: 32 | OTL: 7 | P: 93
GF: 269 | GA: 256 | PP%: 16.10% | PK%: 84.82%
DG: Guillaume Laplante | Morale : 69 | Moyenne d’équipe : 75

Centre de jeu
Capitals
34-40-8, 76pts
3
4 Kings
43-32-7, 93pts
Team Stats
L1SéquenceL1
19-20-2Fiche domicile21-17-3
15-20-6Fiche domicile22-15-4
6-2-2Derniers 10 matchs4-4-2
2.83Buts par match 3.28
3.39Buts contre par match 3.12
18.10%Pourcentage en avantage numérique16.10%
80.17%Pourcentage en désavantage numérique84.82%
Canucks
33-43-6, 72pts
4
2 Kings
43-32-7, 93pts
Team Stats
W2SéquenceL1
16-21-4Fiche domicile21-17-3
17-22-2Fiche domicile22-15-4
5-4-1Derniers 10 matchs4-4-2
2.99Buts par match 3.28
3.50Buts contre par match 3.12
14.00%Pourcentage en avantage numérique16.10%
78.69%Pourcentage en désavantage numérique84.82%
Meneurs d'équipe
Buts
Cutter Gauthier
39
Passes
Robert Thomas
42
Points
Robert Thomas
76
Plus/Moins
Cutter Gauthier
14
Victoires
Dustin Wolf
23
Pourcentage d’arrêts
Dustin Wolf
0.903

Statistiques d’équipe
Buts pour
269
3.28 GFG
Tirs pour
2554
31.15 Avg
Pourcentage en avantage numérique
16.1%
38 GF
Début de zone offensive
38.5%
Buts contre
256
3.12 GAA
Tirs contre
2567
31.30 Avg
Pourcentage en désavantage numérique
84.8%%
34 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralGuillaume Laplante
EntraîneurBob Hartley
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,500
Assistance8,500
Billets de saison8,500


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite Contrat54 / 68
Espoirs3


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
1Robert Thomas (R)X100.0065409084829485918190828372917959768002623,000,000$
2Drake Batherson (R)X100.0079408079828987865588817125887967767702833,000,000$
3Gabriel Vilardi (R)X100.0066409379878786857481837325847664767602622,500,000$
4Pavel Dorofeyev (R)X100.0068408088808683895076897125906654757602533,000,000$
5Anton Lundell (R)X100.007640758878867986808476832585624651760241925,000$
6Matthew Knies (R)X100.007855738193898087407984732585614976762232925,000$
7Adam Fantilli (R)X100.007640918985877888667686732589594975761212950,000$
8Noah Cates (R)X100.007440938381878381697676822592665476752271925,000$
9Cutter Gauthier (R)X100.007340908586847887507880712585594974750223950,000$
10Matias Maccelli (R)X100.005735998472847782438978702586644351742251853,333$
11Matvei Michkov (R)X100.006640728876867588508282602587564976740213950,000$
12Will Smith (R)X100.006340918278867584617979622582555019710213950,000$
13Noah Dobson (R)X100.0072447889808384924087818825907353767902612,500,000$
14Jackson LaCombe (R)X100.007240829284918087407883912588614953792252925,000$
15Andrew Peeke (R)X100.0076448585797983804071709725877544757802813,000,000$
16Owen Power (R)X100.006540927694908385407971862579665466762231916,667$
17Brandt Clarke (R)X100.006740728586848083407969832580614964752232863,333$
18Mattias Samuelsson (R)X100.0073408575878978744067628825816949187402621,750,000$
Rayé
1Leo Carlsson (R)X67.546640938587867883667879732584594967741212950,000$
2Dmitri Voronkov (R)X100.007157697591877886537881722581585021732252925,000$
3Kaapo Kakko (R)X100.0072409582818282714771727625856951197102511,500,000$
4Collin Graf (R)X100.006040827582866869506666692570585019660233941,667$
5Ivan Demidov (R)X100.005540757482836066406162602567515019620203940,833$
6James Malatesta (R)X100.005444636568626162415758562564534719572222841,667$
7Alex Vlasic (R)X95.037040948090918381407768932577665464772241916,667$
8Nicolas Hague (R)X100.0072717172958584754070648625727565207402711,500,000$
9Michael Kesselring (R)X100.007377637588878084407772762577605019722262925,000$
10Yegor Zamula (R)X100.0065409275848583734072667525717060197002631,000,000$
11Simon Nemec (R)X100.005540807581846869407467742572585019672222918,333$
MOYENNE D’ÉQUIPE98.69684483818385798150777576278264525073
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
1Logan Thompson (R)100.009288898592999999999250847162788902923,000,000$
2Dustin Wolf (R)100.00968789719497979896925088615278882252813,333$
Rayé
1Joseph Woll (R)100.008787898491949394938950826558208602733,000,000$
2Jakub Dobes (R)100.00827069907684848585764076535020770243925,000$
3Devon Levi (R)100.00797373757680797980763075575020742241925,000$
MOYENNE D’ÉQUIPE100.0087818281869190919185448161544383
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley87998995999987CAN6532,000,000$


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
1Robert ThomasKings (LA )C82344276-430101192312789714812.23%33175021.358111940218011112123255.61%22214131010.8713002631
2Cutter GauthierKings (LA )LW79393372141610125802245913617.41%28135017.105813201630001465149.35%773318021.0705002658
3Anton LundellKings (LA )C77213859-23001531612065413610.19%28125516.30268181220001602253.24%11574722010.9400000634
4Pavel DorofeyevKings (LA )LW82292655-133801601062316915112.55%39160719.609817462190001816244.64%1126526000.6802000343
5Matvei MichkovKings (LA )RW822133541815150702054514210.24%19139417.0027925180000001047.83%694619000.7700001242
6Gabriel VilardiKings (LA )RW82242650144011276156538715.38%29116814.251012160003533064.10%782618000.8600000155
7Drake BathersonKings (LA )RW822224460240150821485510214.86%24127615.57581316193101720410050.75%672017000.7213000344
8Leo CarlssonKings (LA )C8117274492080113161476710.56%26116114.340339131000002245.95%8403618000.7600000411
9Noah DobsonKings (LA )D82734414511515515311742565.98%113192523.485712212450113208000%03661000.4300012103
10Matias MaccelliKings (LA )LW6715264110005674135579111.11%21106415.880226189000023155.32%47328000.7700000234
11Matthew KniesKings (LA )RW821625410691514372149469510.74%28104712.77022122000002242.22%453413000.7811120351
12Adam FantilliKings (LA )C8271623160666911436866.14%227889.62022758000092050.83%3603410000.5800000111
13Alex VlasicKings (LA )D8141721141715821185822316.90%80154019.020002170001138000%01842000.2700120020
14Brandt ClarkeKings (LA )D79219218915130956217183.23%78146118.50011187000017000%01148000.2900000000
15Jackson LaCombeKings (LA )D8051520630012114110124314.95%116165320.671126590000203200%03149000.2400000102
16Andrew PeekeKings (LA )D7711718-717588996929191.45%82134517.480000180002114000%01340000.2700100001
17Noah CatesKings (LA )LW8271118-200615564203210.94%177399.010000300031141045.45%551620000.4900000111
18Owen PowerKings (LA )D7901212-495451065119270%71132216.7400008000072000%01243000.1800001000
19Dmitri VoronkovKings (LA )LW1526824017212810177.14%422214.83011136000010016.67%664000.7200000000
20Will SmithKings (LA )C6011200100210%2467.7700003000000085.71%700000.4300000000
21Nicolas HagueKings (LA )D40001115566100%35513.820000100001000%00200000001000
22Mattias SamuelssonKings (LA )D7000-3408111140%110114.460000000002000%00200000000000
23Michael KesselringKings (LA )D3000240303000%15719.180000500000000%00400000000000
Statistiques d’équipe totales ou en moyenne14732734487215353890203019392567805147710.63%8652433616.5238671052212006123331545421252.56%5141557515040.59314359404141
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
1Dustin WolfKings (LA )44231530.9033.072446401251286548410.75044240322
2Logan ThompsonKings (LA )44201740.9003.062507401281280498200.62584042320
Statistiques d’équipe totales ou en moyenne88433270.9013.074953802532566104661128282642


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam FantilliKings (LA )C212004-10-12CANYes199 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm950,000$4,847$0$0$No950,000$--------950,000$--------No--------
Alex VlasicKings (LA )D242001-06-05USAYes217 Lbs6 ft6NoNoTrade2025-08-31NoNo1FalseFalsePro & Farm916,667$4,677$0$0$No---------------------------
Andrew PeekeKings (LA )D281998-03-17USAYes214 Lbs6 ft3NoNoTrade2024-02-25NoNo1FalseFalsePro & Farm3,000,000$15,306$0$0$No---------------------------
Anton LundellKings (LA )C242001-10-03FINYes190 Lbs6 ft1NoNoTrade2024-09-08NoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Brandt ClarkeKings (LA )D232003-02-09CANYes200 Lbs6 ft2NoNoTrade2025-08-31NoNo22024-08-17FalseFalsePro & Farm863,333$4,405$0$0$No863,333$--------863,333$--------No--------
Collin GrafKings (LA )RW232002-09-21USAYes194 Lbs6 ft1NoNoAssign ManuallyNoNo32025-10-04FalseFalsePro & Farm941,667$4,804$0$0$No941,667$941,667$-------941,667$941,667$-------NoNo-------
Cutter GauthierKings (LA )LW222004-01-19SWEYes201 Lbs6 ft2NoNoTrade2025-11-22NoNo32025-08-30FalseFalsePro & Farm950,000$4,847$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Devon LeviKings (LA )G242001-12-27CANYes183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Dmitri VoronkovKings (LA )LW252000-09-10RUSYes227 Lbs6 ft5NoNoAssign ManuallyNoNo22024-08-31FalseFalsePro & Farm925,000$4,719$0$0$No925,000$--------925,000$--------No--------
Drake BathersonKings (LA )RW281998-04-27USAYes200 Lbs6 ft3NoNoN/ANoNo32025-08-24FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Dustin WolfKings (LA )G252001-04-16USAYes166 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-31FalseFalsePro & Farm813,333$4,150$0$0$No813,333$--------813,333$--------No--------
Gabriel VilardiKings (LA )RW261999-08-16CANYes216 Lbs6 ft3NoNoN/ANoNo22025-08-24FalseFalsePro & Farm2,500,000$12,755$0$0$No2,500,000$--------2,500,000$--------No--------
Ivan DemidovKings (LA )RW202005-12-10RUSYes192 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-05FalseFalsePro & Farm940,833$4,800$0$0$No940,833$940,833$-------940,833$940,833$-------NoNo-------
Jackson LaCombeKings (LA )D252001-01-09USAYes205 Lbs6 ft2NoNoTrade2025-10-04NoNo22024-08-21FalseFalsePro & Farm925,000$4,719$0$0$No925,000$--------925,000$--------No--------
Jakub DobesKings (LA )G242001-05-27CZEYes215 Lbs6 ft4NoNoAssign ManuallyNoNo32025-10-01FalseFalsePro & Farm925,000$4,719$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
James MalatestaKings (LA )C222003-05-31CANYes179 Lbs5 ft9NoNoAssign ManuallyNoNo22024-08-31FalseFalsePro & Farm841,667$4,294$0$0$No841,667$--------841,667$--------No--------
Joseph WollKings (LA )G271998-07-12USAYes206 Lbs6 ft3NoNoTrade2024-03-02NoNo32025-08-24FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Kaapo KakkoKings (LA )RW252001-02-13FINYes215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$7,653$0$0$No---------------------------
Leo Carlsson (sur la masse salariale)Kings (LA )C212004-12-26SWEYes203 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm950,000$4,847$0$0$No950,000$--------950,000$--------No--------
Logan ThompsonKings (LA )G291997-02-25CANYes207 Lbs6 ft4NoNoN/ANoNo22025-08-24FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$--------3,000,000$--------No--------
Matias MaccelliKings (LA )LW252000-10-14FINYes176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm853,333$4,354$0$0$No---------------------------
Matthew KniesKings (LA )RW232002-10-17USAYes227 Lbs6 ft3NoNoTrade2025-10-04NoNo22024-08-17FalseFalsePro & Farm925,000$4,719$0$0$No925,000$--------925,000$--------No--------
Mattias SamuelssonKings (LA )D262000-03-14USAYes227 Lbs6 ft4NoNoTrade2024-02-25NoNo22024-09-14FalseFalsePro & Farm1,750,000$8,929$0$0$No1,750,000$-----------------No--------
Matvei MichkovKings (LA )RW212004-12-09RUSYes172 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-05FalseFalsePro & Farm950,000$4,847$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Michael KesselringKings (LA )D262000-01-13USAYes215 Lbs6 ft5NoNoAssign ManuallyNoNo22024-08-31FalseFalsePro & Farm925,000$4,719$0$0$No925,000$--------925,000$--------No--------
Nicolas HagueKings (LA )D271998-12-05CANYes240 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$7,653$0$0$No---------------------------
Noah CatesKings (LA )LW271999-02-05USAYes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Noah DobsonKings (LA )D262000-01-07CANYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$12,755$0$0$No---------------------------
Owen PowerKings (LA )D232002-11-22CANYes226 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm916,667$4,677$0$0$No---------------------------
Pavel DorofeyevKings (LA )LW252000-10-26RUSYes194 Lbs6 ft1NoNoTrade2025-10-04NoNo32025-08-09FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Robert ThomasKings (LA )C261999-07-02CANYes218 Lbs6 ft0NoNoN/ANoNo22025-08-24FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$--------3,000,000$--------No--------
Simon NemecKings (LA )D222004-02-15SVKYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm918,333$4,685$0$0$No918,333$--------918,333$--------No--------
Will SmithKings (LA )C212005-03-17USAYes181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-05FalseFalsePro & Farm950,000$4,847$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Yegor ZamulaKings (LA )D262000-03-30RUSYes200 Lbs6 ft3NoNoN/ANoNo32025-08-24FalseFalsePro & Farm1,000,000$5,102$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3424.41203 Lbs6 ft22.001,438,407$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel DorofeyevRobert ThomasMatvei Michkov35122
2Cutter GauthierAnton LundellGabriel Vilardi35122
3Matias MaccelliAdam FantilliMatthew Knies25122
4Noah CatesWill SmithDrake Batherson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jackson LaCombeNoah Dobson35122
2Brandt ClarkeOwen Power35122
3Mattias SamuelssonAndrew Peeke30122
4Mattias SamuelssonNoah Dobson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel DorofeyevRobert ThomasMatvei Michkov60122
2Cutter GauthierAnton LundellDrake Batherson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matias MaccelliNoah Dobson60122
2Brandt ClarkeWill Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasDrake Batherson60122
2Noah CatesGabriel Vilardi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jackson LaCombeNoah Dobson60122
2Andrew PeekeOwen Power40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Robert Thomas60122Jackson LaCombeNoah Dobson60122
2Noah Cates40122Andrew PeekeOwen Power40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasDrake Batherson60122
2Anton LundellPavel Dorofeyev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jackson LaCombeNoah Dobson60122
2Andrew PeekeOwen Power40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevRobert ThomasDrake BathersonJackson LaCombeNoah Dobson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevRobert ThomasDrake BathersonJackson LaCombeNoah Dobson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Vilardi, Adam Fantilli, Noah CatesGabriel Vilardi, Adam FantilliNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Samuelsson, Brandt Clarke, Andrew PeekeNoah DobsonMattias Samuelsson, Brandt Clarke
Tirs de pénalité
Robert Thomas, Drake Batherson, Cutter Gauthier, Pavel Dorofeyev, Matthew Knies
Gardien
#1 : Dustin Wolf, #2 : Logan Thompson
Lignes d’attaque personnalisées en prolongation
Robert Thomas, Drake Batherson, Matvei Michkov, Pavel Dorofeyev, Matthew Knies, Gabriel Vilardi, Adam Fantilli, Anton Lundell, Cutter Gauthier, Matias Maccelli
Lignes de défense personnalisées en prolongation
Jackson LaCombe, Noah Dobson, Andrew Peeke, Owen Power, Mattias Samuelsson


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
TotalDomicile Visiteur
# 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 RI
1Avalanche412010001417-32010100057-221100000910-140.5001421350078849811125896832806321314230988225.00%150100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R2
2Blackhawks403010001121-1020200000512-72010100069-320.250111829007884981113689683280632142442511911327.27%10370.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
3Blues412001001014-42110000045-12010010069-330.37510182800788498111198968328063213240289711218.18%14285.71%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R2
4Bruins21001000972100010003211100000065141.000916250078849811688968328063268251047100.00%5260.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
5Canadiens210001008711000010045-11100000042230.750812200078849811678968328063259171060100.00%5180.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
6Canucks6330000022220321000001183312000001114-360.500223961007884981116989683280632177547314926519.23%29196.55%11015196251.73%1051195653.73%630117653.57%1860113017187041380703R5
7Capitals21001000853100010004311100000042241.000813210078849811738968328063265181239200.00%6183.33%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
8Devils220000001257110000007251100000053241.0001221330078849811638968328063263132426233.33%110.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
9Ducks75200000281612321000001477431000001495100.71428467400788498112118968328063220685591893326.06%17382.35%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R5
10Flames63201000181533210000066031101000129380.66718274500788498111788968328063214750471383013.33%21576.19%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R5
11Flyers31200000910-11010000013-22110000087120.3339132200788498111038968328063210131871100.00%40100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
12Islanders201000105501010000023-11000001032120.5005611007884981168896832806325811648300.00%30100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
13Maple Leafs2010100078-11010000035-21000100043120.500714210078849811718968328063271362405120.00%110.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
14Oilers633000001820-232100000105531200000815-760.500182947007884981117289683280632177518914730516.67%17476.47%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R5
15Penguins20001100330100010002111000010012-130.7503690078849811718968328063275281046200.00%50100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
16Predators53100001171343200000112662110000057-270.700172643007884981116389683280632168633213013538.46%11463.64%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R2
17Rangers2020000046-21010000023-11010000023-100.0004812007884981166896832806326321237100.00%10100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
18Red Wings30200100713-62010010068-21010000015-410.167710170078849811828968328063298271572000%5180.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
19Sabres2110000056-1110000003121010000025-320.5005813007884981166896832806327533052000%000%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
20Senateurs211000005321010000012-11100000041320.5005712007884981166896832806325429458000%20100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
21Sharks623010001718-130201000810-23210000098160.500173047007884981117289683280632202775914528517.86%23386.96%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R5
22Stars440000002091122000000104622000000105581.00020335300788498111188968328063212337349113538.46%17288.24%01015196251.73%1051195653.73%630117653.57%1860113017187041380703
23Wild411001011213-1211000008712000010146-240.50012213310788498111278968328063211233241121100.00%120100.00%01015196251.73%1051195653.73%630117653.57%1860113017187041380703R2
Total8234320851226925613411617052011311151641181503311138141-3930.5672694427111078849811255489683280632256786558120272363816.10%2243484.82%11015196251.73%1051195653.73%630117653.57%1860113017187041380703
_Since Last GM Reset8234320851226925613411617052011311151641181503311138141-3930.5672694427111078849811255489683280632256786558120272363816.10%2243484.82%11015196251.73%1051195653.73%630117653.57%1860113017187041380703
_Vs Conference562622042021871789281411020019377162812110220194101-7640.5711873084951078849811169089683280632171757650014152143516.36%1862785.48%11015196251.73%1051195653.73%630117653.57%1860113017187041380703
_Vs Division3116130200010391121586010004936131687010005455-1360.5811031712740078849811902896832806329093173277681471812.24%1071685.05%11015196251.73%1051195653.73%630117653.57%1860113017187041380703

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8293L126944271125542567865581202710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234328512269256
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116175201131115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118153311138141
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2363816.10%2243484.82%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
8968328063278849811
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
1015196251.73%1051195653.73%630117653.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1860113017187041380703


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
28Predators2Kings6WR2Sommaire du match
417Kings2Ducks1WR5Sommaire du match
734Kings5Ducks3WSommaire du match
942Canucks3Kings4WR5Sommaire du match
1152Kings4Oilers3WSommaire du match
1469Oilers1Kings2WR5Sommaire du match
1781Kings3Canucks4LR5Sommaire du match
1990Ducks1Kings4WSommaire du match
21104Sharks2Kings3WXR5Sommaire du match
23111Kings3Flames4LSommaire du match
25122Kings1Oilers7LR5Sommaire du match
27132Kings5Flames2WR5Sommaire du match
29139Flames1Kings2WSommaire du match
31147Kings5Blackhawks4WXR2Sommaire du match
33164Kings4Sharks3WR5Sommaire du match
34168Oilers2Kings1LSommaire du match
39188Kings2Flyers5LSommaire du match
40192Predators2Kings1LXXR2Sommaire du match
43211Wild5Kings3LR2Sommaire du match
45224Kings2Rangers3LSommaire du match
47234Wild2Kings5WR2Sommaire du match
49246Kings4Canadiens2WSommaire du match
52258Kings4Senateurs1WSommaire du match
53262Canadiens5Kings4LXSommaire du match
56276Kings1Blackhawks5LR2Sommaire du match
58285Maple Leafs5Kings3LSommaire du match
60297Kings2Sabres5LSommaire du match
61307Flyers3Kings1LSommaire du match
64322Kings6Flyers2WSommaire du match
65332Stars1Kings6WR2Sommaire du match
69353Predators2Kings5WR2Sommaire du match
72363Kings3Avalanche6LR2Sommaire du match
74373Kings3Islanders2WXXSommaire du match
76382Red Wings4Kings3LSommaire du match
78393Kings3Ducks4LR5Sommaire du match
80404Kings3Oilers5LSommaire du match
81409Sabres1Kings3WSommaire du match
84428Devils2Kings7WSommaire du match
87440Kings4Ducks1WR5Sommaire du match
90453Senateurs2Kings1LSommaire du match
93467Kings1Blues3LR2Sommaire du match
95476Kings4Canucks3WR5Sommaire du match
96479Stars3Kings4WSommaire du match
99495Kings5Blues6LXR2Sommaire du match
101503Penguins1Kings2WXSommaire du match
103517Kings6Bruins5WSommaire du match
104526Oilers2Kings7WR5Sommaire du match
106540Kings4Capitals2WSommaire du match
108551Avalanche6Kings3LR2Sommaire du match
110562Kings4Predators2WSommaire du match
112574Flames3Kings1LR5Sommaire du match
115591Kings4Maple Leafs3WXSommaire du match
117599Islanders3Kings2LSommaire du match
121618Kings3Stars2WR2Sommaire du match
122622Avalanche1Kings2WXR2Sommaire du match
126645Sharks5Kings3LR5Sommaire du match
128653Kings1Predators5LSommaire du match
130667Rangers3Kings2LSommaire du match
132677Kings1Penguins2LXSommaire du match
135691Flames2Kings3WR5Sommaire du match
137698Kings6Avalanche4WSommaire du match
140716Sharks3Kings2LR5Sommaire du match
142725Kings1Red Wings5LSommaire du match
144736Kings4Canucks7LR5Sommaire du match
145743Red Wings4Kings3LXSommaire du match
148754Kings4Flames3WXR5Sommaire du match
149765Blues4Kings2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153786Kings7Stars3WR2Sommaire du match
154789Ducks2Kings7WR5Sommaire du match
158811Blues1Kings2WSommaire du match
160822Kings1Sharks3LR5Sommaire du match
162835Kings5Devils3WSommaire du match
163839Bruins2Kings3WXSommaire du match
166856Kings3Wild4LXXR2Sommaire du match
168863Ducks4Kings3LSommaire du match
172886Blackhawks4Kings2LR2Sommaire du match
173891Kings4Sharks2WR5Sommaire du match
177911Canucks1Kings5WSommaire du match
180925Kings1Wild2LXR2Sommaire du match
182935Blackhawks8Kings3LSommaire du match
187959Capitals3Kings4WXSommaire du match
193977Canucks4Kings2LR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60002500
Prix des billets8555
Assistance246,000102,500
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 8500 - 100.00% 874,125$35,839,125$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
6,825,394$ 4,795,584$ 4,795,584$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 4,835,614$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 34,671$ 34,671$




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