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Kings
GP: 21 | W: 14 | L: 7
GF: 69 | GA: 59 | PP%: 14.06% | PK%: 81.36%
DG: Guillaume Laplante | Morale : 85 | Moyenne d’équipe : 76
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Centre de jeu
Flyers
16-6-0, 32pts
3
FINAL
4 Kings
14-7-0, 28pts
Team Stats
W1SéquenceL1
8-2-0Fiche domicile7-4-0
8-4-0Fiche domicile7-3-0
8-2-0Derniers 10 matchs4-6-0
3.55Buts par match 3.29
2.68Buts contre par match 2.81
23.29%Pourcentage en avantage numérique14.06%
80.33%Pourcentage en désavantage numérique81.36%
Kings
14-7-0, 28pts
4
FINAL
6 Flyers
16-6-0, 32pts
Team Stats
L1SéquenceW1
7-4-0Fiche domicile8-2-0
7-3-0Fiche domicile8-4-0
4-6-0Derniers 10 matchs8-2-0
3.29Buts par match 3.55
2.81Buts contre par match 2.68
14.06%Pourcentage en avantage numérique23.29%
81.36%Pourcentage en désavantage numérique80.33%
Meneurs d'équipe
Buts
Jack Hughes
10
Passes
Roope Hintz
14
Points
Roope Hintz
19
Plus/Moins
Cale Makar
9
Victoires
Igor Shesterkin
7
Pourcentage d’arrêts
Ilya Sorokin
0.914

Statistiques d’équipe
Buts pour
69
3.29 GFG
Tirs pour
674
32.10 Avg
Pourcentage en avantage numérique
14.1%
9 GF
Début de zone offensive
37.6%
Buts contre
59
2.81 GAA
Tirs contre
665
31.67 Avg
Pourcentage en désavantage numérique
81.4%%
11 GA
Début de la zone défensive
38.8%
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 Pro28
Équipe Mineure19
Limite contact 47 / 60
Espoirs6


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jack Hughes (R)X100.0065409596778983956089926925956659808002333,000,000$
2Roope Hintz (R)X100.0071507687878885907882897782917158837902723,000,000$
3J.T. Compher (R)X100.0080478367766886928692889167818064837902923,000,000$
4Andrei Svechnikov (R)X100.0080516384848883884089837925867158837802423,000,000$
5Robert Thomas (R)X100.0066458482898985858084778072777158837702422,000,000$
6Kirill Kaprizov (R)X100.007250698980897891408191682593615181770271925,000$
7Noah Cates (R)X100.007545929474897880647772842584594882752253925,000$
8Kaapo Kakko (R)X100.0068409482878683834076767225826654807302331,500,000$
9Drake Batherson (R)X100.0076557575848885875082786425837158857302622,000,000$
10Gabriel Vilardi (R)X100.0070458579908681837176797025836653847302421,500,000$
11Michael Bunting (R)X100.007560618277868584407778712585715885730281950,000$
12Juuso Parssinen (R)X100.007555847589847074757565682573544980681233850,833$
13Cale Makar (R)X100.0071507394779381902584818625916653767902533,000,000$
14Andrew Peeke (R)X100.0077458484868983784068699125796653817702633,000,000$
15Noah Dobson (R)X100.0071458687858783884079777725866653817602432,500,000$
16Mattias Samuelsson (R)X100.007545837694927874406863882573615180750241925,000$
17Sean Durzi (R)X100.007061708580877883407873792583594882740252925,000$
18Owen Power (R)X100.006445827693937883407865792577594883732213916,667$
Rayé
1Joel Farabee (R)X97.2672657388798883835078757225836654487302431,500,000$
2Matias Maccelli (R)X100.006545858376867682408271672579585024712233853,333$
3Nicolas Hague (R)X100.0075567073928683772573658125736654797302531,500,000$
4Oscar KlefbomX100.0056369261798883663075649555847762207203031,500,000$
5Yegor Zamula (R)X100.007468917677545666257270653745455119630242756,667$
MOYENNE D’ÉQUIPE99.87715080828386808349797677338165547274
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Igor Shesterkin (R)100.009589917894999999999365866657839002823,000,000$
2Ilya Sorokin (R)100.00948790829499999999936089615283900281925,000$
Rayé
1Logan Thompson (R)100.00858586879593929392925082605330860272766,667$
2Devon Levi (R)100.00776766777276757377723073535030712223925,000$
3Joseph Woll (R)100.00726161686875797677673057525029680252766,667$
MOYENNE D’ÉQUIPE100.0085787978858889888983477758525181
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan8185898283781CAN5522,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Roope HintzKings (LA )LW215141962041295822328.62%745021.470551590001542038.89%361510000.8400000220
2Andrei SvechnikovKings (LA )RW21810185160623343174018.60%439618.89325559000033037.04%27811010.9100000102
3Jack HughesKings (LA )C2110818-300274186193711.63%437217.73448951000012343.02%444216000.9700000221
4Robert ThomasKings (LA )C218816320277041214119.51%1143720.840003480000552149.07%4831011000.7300000212
5Kirill KaprizovKings (LA )LW2110616-1235382786303611.63%239518.830003460000170247.62%21213000.8100000121
6J.T. CompherKings (LA )C216915700393650182212.00%736117.222134540002310054.05%25987000.8300000103
7Cale MakarKings (LA )D17010109603136351380%2537021.81011145011034000%0117000.5400000101
8Sean DurziKings (LA )D2119101295323630573.33%1639718.9500015000001010%055000.5000001100
9Drake BathersonKings (LA )RW2172912024134071617.50%521610.30000021000001140.00%541000.8300000111
10Noah CatesKings (LA )LW21459375282439192510.26%727913.33011191012302050.00%10125000.6400010030
11Kaapo KakkoKings (LA )RW2144830010163341512.12%625612.2300014000001138.46%1372000.6200000001
12Noah DobsonKings (LA )D2115685529281711155.88%2641019.56000037000015000%0413000.2900001100
13Andrew PeekeKings (LA )D21066120102837191370%1943420.7100006000055000%0115000.2800110000
14Mattias SamuelssonKings (LA )D21156-1175252613997.69%3038518.3600000000045000%0210000.3100010000
15Gabriel VilardiKings (LA )RW1923516031212810277.14%932317.03000447000000040.91%2256000.3100000011
16Owen PowerKings (LA )D210559241021239880%2137818.0400000000035000%0511000.2600101000
17Michael BuntingKings (LA )RW2113431153110288163.57%21868.8900000000001040.00%541000.4300100010
18Juuso ParssinenKings (LA )C2112340081213367.69%31617.6700000000000041.94%6231000.3700000000
19Nicolas HagueKings (LA )D7022-1201463120%1212017.220000000007000%006000.3300000000
20Joel FarabeeKings (LA )LW1011120111000%455.280000000000000%000003.7900000000
21Matias MaccelliKings (LA )LW4000-100102030%0133.250000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne38469117186581745054852567423837210.24%220635616.559142333543112539014946.94%1387146131010.5900333131313
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Igor ShesterkinKings (LA )117210.9082.73637002931512800001110100
2Ilya SorokinKings (LA )117400.9142.76652003035012420001011101
Statistiques d’équipe totales ou en moyenne2214610.9112.75128900596652522002121201


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Andrei SvechnikovKings (LA )RW242000-03-26 06:13:21Yes195 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Andrew PeekeKings (LA )D261998-03-17 04:34:05Yes210 Lbs6 ft3NoNoTrade2024-02-25NoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Cale MakarKings (LA )D251998-10-30 01:24:09Yes187 Lbs5 ft11NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Devon LeviKings (LA )G222001-12-27 03:08:18Yes184 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Drake BathersonKings (LA )RW261998-04-27 05:56:24Yes200 Lbs6 ft3NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Gabriel VilardiKings (LA )RW241999-08-16 13:05:54Yes215 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
Igor ShesterkinKings (LA )G281995-12-30 13:26:15Yes189 Lbs6 ft1NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Ilya SorokinKings (LA )G281995-08-04 03:05:57Yes195 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
J.T. CompherKings (LA )C291995-04-08 08:55:06Yes193 Lbs6 ft0NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Jack HughesKings (LA )C232001-05-14 06:37:03Yes175 Lbs5 ft11NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Joel FarabeeKings (LA )LW242000-02-25 06:34:13Yes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Joseph WollKings (LA )G251998-07-12 04:20:14Yes203 Lbs6 ft4NoNoTrade2024-03-02NoNo2Pro & Farm766,667$0$0$No766,667$--------No--------
Juuso ParssinenKings (LA )C232001-02-01 03:44:43Yes212 Lbs6 ft3NoNoN/ANoNo3Pro & Farm850,833$0$0$No850,833$850,833$-------NoNo-------
Kaapo KakkoKings (LA )RW232001-02-13 06:26:24Yes206 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Kirill KaprizovKings (LA )LW271997-04-26 13:29:06Yes202 Lbs5 ft10NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Logan ThompsonKings (LA )G271997-02-25 04:21:20Yes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm766,667$0$0$No766,667$--------No--------
Matias MaccelliKings (LA )LW232000-10-14 14:22:16Yes176 Lbs5 ft11NoNoN/ANoNo3Pro & Farm853,333$0$0$No853,333$853,333$-------NoNo-------
Mattias SamuelssonKings (LA )D242000-03-14 14:34:03Yes231 Lbs6 ft4NoNoTrade2024-02-25NoNo1Pro & Farm925,000$0$0$No------------------
Michael BuntingKings (LA )RW281995-09-17 04:08:07Yes192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm950,000$0$0$No------------------
Nicolas HagueKings (LA )D251998-12-05 13:40:06Yes230 Lbs6 ft6NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Noah CatesKings (LA )LW251999-02-05 14:20:45Yes165 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Noah DobsonKings (LA )D242000-01-07 03:09:05Yes194 Lbs6 ft4NoNoN/ANoNo3Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------
Oscar KlefbomKings (LA )D301993-07-20 11:11:13No222 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Owen PowerKings (LA )D212002-11-22 06:17:06Yes218 Lbs6 ft6NoNoN/ANoNo3Pro & Farm916,667$0$0$No916,667$916,667$-------NoNo-------
Robert ThomasKings (LA )C241999-07-02 12:51:18Yes218 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Roope HintzKings (LA )LW271996-11-17 02:27:43Yes215 Lbs6 ft3NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Sean DurziKings (LA )D251998-10-21 04:36:42Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Yegor ZamulaKings (LA )D242000-03-30 11:28:00Yes176 Lbs6 ft3NoNoN/ANoNo2Pro & Farm756,667$0$0$No756,667$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.14200 Lbs6 ft22.321,657,530$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovJ.T. CompherAndrei Svechnikov35032
2Roope HintzRobert ThomasDrake Batherson35032
3Noah CatesJack HughesMichael Bunting25032
4Kaapo KakkoJuuso ParssinenGabriel Vilardi5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PeekeNoah Dobson35032
2Cale MakarOwen Power35032
3Sean Durzi30032
4Cale MakarAndrew Peeke0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesAndrei Svechnikov60113
2Roope HintzRobert ThomasGabriel Vilardi40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah CatesCale Makar60122
2Sean DurziNoah Dobson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasRoope Hintz60122
2J.T. CompherNoah Cates40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonAndrew Peeke60122
2Cale MakarOwen Power40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Robert Thomas60122Mattias SamuelssonAndrew Peeke60122
2J.T. Compher40122Cale MakarOwen Power40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Robert ThomasRoope Hintz60122
2J.T. CompherAndrei Svechnikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarAndrew Peeke60122
2Mattias Samuelsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roope HintzJack HughesAndrei SvechnikovCale MakarNoah Dobson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roope HintzJ.T. CompherRobert ThomasMattias SamuelssonAndrew Peeke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaapo Kakko, J.T. Compher, Noah CatesKaapo Kakko, Robert ThomasNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Durzi, Owen Power, Mattias SamuelssonSean DurziMattias Samuelsson, Owen Power
Tirs de pénalité
J.T. Compher, Roope Hintz, Drake Batherson, Andrei Svechnikov, Kirill Kaprizov
Gardien
#1 : Ilya Sorokin, #2 : Igor Shesterkin
Lignes d’attaque personnalisées en prolongation
Noah Cates, Roope Hintz, J.T. Compher, Andrei Svechnikov, Kirill Kaprizov, Robert Thomas, Robert Thomas, Jack Hughes, Drake Batherson, , Michael Bunting
Lignes de défense personnalisées en prolongation
Cale Makar, Noah Dobson, Andrew Peeke, Mattias Samuelsson, Sean Durzi


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Ducks4400000016115220000008532200000086281.0001624400019222441232112142262312956821141715.88%21480.95%024252246.36%25553847.40%15432747.09%477286448187366185
2Flyers624000002024-431200000910-1312000001114-340.33320355500192224420821121422623212592013611218.18%10280.00%124252246.36%25553847.40%15432747.09%477286448187366185
3Stars440000001587220000008352200000075281.00015284300192224412521121422623118333111415426.67%10280.00%024252246.36%25553847.40%15432747.09%477286448187366185
4Wild7430000018162422000009813210000098180.5711830480019222442182112142262320672411842129.52%18383.33%024252246.36%25553847.40%15432747.09%477286448187366185
Total21147000006959101174000003426810730000035332280.667691171860019222446742112142262366522017454864914.06%591181.36%124252246.36%25553847.40%15432747.09%477286448187366185
_Since Last GM Reset21147000006959101174000003426810730000035332280.667691171860019222446742112142262366522017454864914.06%591181.36%124252246.36%25553847.40%15432747.09%477286448187366185
_Vs Conference151230000049351486200000251697610000024195240.80049821310019222444662112142262345316115441253713.21%49981.63%024252246.36%25553847.40%15432747.09%477286448187366185
_Vs Division4400000016115220000008532200000086281.0001624400019222441232112142262312956821141715.88%21480.95%024252246.36%25553847.40%15432747.09%477286448187366185

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2128L16911718667466522017454800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2114700006959
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117400003426
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
107300003533
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
64914.06%591181.36%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
211214226231922244
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
24252246.36%25553847.40%15432747.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
477286448187366185


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
27Stars2Kings5BWSommaire du match
415Stars1Kings3BWSommaire du match
623Kings4Stars3AWXSommaire du match
831Kings3Stars2AWSommaire du match
1660Ducks2Kings3BWXSommaire du match
1864Ducks3Kings5BWSommaire du match
2068Kings3Ducks2AWSommaire du match
2272Kings5Ducks4AWSommaire du match
3086Wild2Kings1BLXSommaire du match
3288Wild1Kings3BWSommaire du match
3490Kings3Wild2AWXSommaire du match
3692Kings3Wild2AWXSommaire du match
3894Wild3Kings1BLSommaire du match
4096Kings3Wild4ALSommaire du match
4298Wild2Kings4BWSommaire du match
4399Flyers3Kings2BLSommaire du match
44100Flyers4Kings3BLSommaire du match
45101Kings2Flyers6ALSommaire du match
46102Kings5Flyers2AWSommaire du match
47103Flyers3Kings4BWSommaire du match
48104Kings4Flyers6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60002500
Prix des billets8555
Assistance66,00027,500
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 8500 - 100.00% 874,125$9,615,375$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,641,082$ 1,313,584$ 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

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