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Kings
GP: 6 | W: 2 | L: 4
GF: 18 | GA: 22 | PP%: 5.88% | PK%: 81.82%
DG: Guillaume Laplante | Morale : 35 | Moyenne d’équipe : 72
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Centre de jeu
Kings
2-4-0, 4pts
2
FINAL
4 Avalanche
16-9-0, 32pts
Team Stats
OTL1StreakW2
1-2-0Home Record6-7-0
1-2-0Away Record10-2-0
2-3-1Last 10 Games6-3-1
3.00Buts par match 3.68
3.67Buts contre par match 2.60
5.88%Pourcentage en avantage numérique17.24%
81.82%Pourcentage en désavantage numérique86.49%
Avalanche
16-9-0, 32pts
4
FINAL
3 Kings
2-4-0, 4pts
Team Stats
W2StreakOTL1
6-7-0Home Record1-2-0
10-2-0Away Record1-2-0
6-3-1Last 10 Games2-3-1
3.68Buts par match 3.00
2.60Buts contre par match 3.67
17.24%Pourcentage en avantage numérique5.88%
86.49%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Andrei Svechnikov
3
Passes
Robert Thomas
3
Points
Andrei Svechnikov
4
Plus/Moins
Roope Hintz
3
Victoires
Ilya Sorokin
2
Pourcentage d’arrêts
Ilya Sorokin
0.899

Statistiques d’équipe
Buts pour
18
3.00 GFG
Tirs pour
179
29.83 Avg
Pourcentage en avantage numérique
5.9%
1 GF
Début de zone offensive
37.3%
Buts contre
22
3.67 GAA
Tirs contre
202
33.67 Avg
Pourcentage en désavantage numérique
81.8%%
4 GA
Début de la zone défensive
41.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,850
Billets de saison2,850


Informations de la formation

Équipe Pro28
Équipe Mineure24
Limite contact 52 / 60
Espoirs4


Historique d'équipe

Saison actuelle2-4
Historique43-29-10 (0.524%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1J.T. Compher (R)X100.0075428774836786858585829467787667857802811,250,000$
2Alex Tuch (R)X100.0074387772818687916989838656816774797802711,500,000$
3Andrei Svechnikov (R)X100.0076457783818692833487837425667089837602333,000,000$
4Kirill Kaprizov (R)X100.007542907981888687308189682573778083760262925,000$
5Roope Hintz (R)X100.0073459679819182767381777182748068837402633,000,000$
6Robert Thomas (R)X100.0075419074836574848188727972666963827302332,000,000$
7Drake Batherson (R)X100.0075459581837392793678746825575775867102532,000,000$
8Jason Robertson (R)X100.007443907883748673568076672568717585710231795,000$
9Jack Hughes (R)X100.007841907679808970747772672567769082700221925,000$
10Joel Farabee (R)X100.007642857683738670377673692565698077690231925,000$
11Gabriel Vilardi (R)X100.007342967583687870807672642568717882690271894,167$
12Michael Bunting (R)X100.007544837483747365567373622574707482670272950,000$
13Neal Pionk (R)X100.0098596870728687773084659455787436837802722,000,000$
14Cale Makar (R)X100.007543918183907876259789742570768473770241880,833$
15Devon Toews (R)X100.0074439077819190742577738175767770837502922,000,000$
16Nicolas Hague (R)X100.007546827183688574257571732569727352700241791,667$
Rayé
1Kaapo Kakko (R)X100.007742927784678570388075682566698919690221925,000$
2Yegor Sharangovich (R)X100.007742977581748566407674722566677619690252925,000$
3Alexander Chmelevski (R)X100.007868797884636373797868626066656419670242778,333$
4Joe Veleno (R)X100.007372797484585764797271685863677720650232894,167$
5Mike Vecchione (R)X100.007668966068616258733737646244446320530301750,000$
6Oscar KlefbomX100.0056369268808883663075649555807366207302911,750,000$
7Philippe Myers (R)X100.0075458571817674752578717025717362397002631,000,000$
8Wyatt Kalynuk (R)X100.007243937272827968306972665468695220670262925,000$
9Yegor Zamula (R)X100.007468917684545666257270653744445219640233756,667$
MOYENNE D’ÉQUIPE100.00754788758175807449787373426869715971
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)100.00869289858995949396868577817782870271925,000$
2Ilya Sorokin (R)100.00888289818698999897888778827579870272925,000$
Rayé
1Logan Thompson (R)100.00446379774580907355743044447119640263766,667$
MOYENNE D’ÉQUIPE100.0073798681739194888383676669746079
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan95978992999990CAN5535,000,000$


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
1Brady SkjeiKingsD60662809189140.00%413622.73000119011011000.00%042000.8800000000
2Andrei SvechnikovKings (LA )RW63142201110186616.67%110417.38000013000000040.00%563000.7700000100
3J.T. CompherKings (LA )C6224-111515211951210.53%311919.890006170000150044.17%16320000.6700010100
4Robert ThomasKings (LA )C613430071297811.11%511118.53000113000060053.03%13232000.7200000011
5Cale MakarKings (LA )D6134-3205963116.67%811819.7510121100002100.00%014000.6800000000
6Drake BathersonKings (LA )RW6123-2008813397.69%28313.91011011000000060.00%524000.7200000000
7Alex TuchKings (LA )RW6123-24079158146.67%312220.340112180001180028.57%754000.4900000010
8Jack HughesKings (LA )C6303-10066113627.27%06110.2100000000050058.06%3102000.9800000000
9Kirill KaprizovKings (LA )LW6303-12045187916.67%29215.4200014000001023.08%1350000.6500000000
10Roope HintzKings (LA )LW6112300910121098.33%211619.440000131011130066.67%641000.3400000000
11Devon ToewsKings (LA )D6022000885230.00%510116.9100000000013000.00%060000.3900000000
12Joel FarabeeKings (LA )LW6112-1004481512.50%1498.190000000001000.00%001000.8100000000
13Jason RobertsonKings (LA )LW6022-20076151120.00%18914.99000118000000040.00%503000.4400000000
14Nicolas HagueKings (LA )D6022-275552110.00%49515.850000000008000.00%014000.4200010000
15Neal PionkKings (LA )D601131951292240.00%1211619.3600000000012000.00%033000.1700100000
16Gabriel VilardiKings (LA )C6101-2006672614.29%17011.8200000000080055.00%4030000.2800000001
17Michael BuntingKings (LA )RW6011000542440.00%0437.2600000000000033.33%310000.4600000000
18Josh MorrisseyKingsD6000-24011138220.00%613722.88000214000019000.00%013000.00%00000000
Statistiques d’équipe totales ou en moyenne108182947-659151391631796811510.06%60176916.381231615611221402048.54%4104736000.5300120222
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 )62310.8993.31326001817867000.00%060001
2Igor ShesterkinKings (LA )10000.8337.0634004247000.00%006000
Statistiques d’équipe totales ou en moyenne72310.8913.6636100222027400066001


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex TuchKings (LA )RW271996-05-10 10:00:42Yes222 Lbs6 ft4NoNoNo1Pro & Farm1,500,000$0$0$No
Alexander ChmelevskiKings (LA )C241999-06-09 03:12:24Yes187 Lbs6 ft0NoNoNo2Pro & Farm778,333$0$0$No778,333$
Andrei SvechnikovKings (LA )RW232000-03-26 06:13:21Yes195 Lbs6 ft2NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Cale MakarKings (LA )D241998-10-30 01:24:09Yes187 Lbs5 ft11NoNoNo1Pro & Farm880,833$0$0$No
Devon ToewsKings (LA )D291994-02-21 07:36:08Yes192 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Drake BathersonKings (LA )RW251998-04-27 05:56:24Yes205 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Gabriel VilardiKings (LA )C271995-07-12 13:05:54Yes201 Lbs6 ft3NoNoNo1Pro & Farm894,167$0$0$No
Igor ShesterkinKings (LA )G271995-12-30 13:26:15Yes183 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
Ilya SorokinKings (LA )G271995-08-04 03:05:57Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
J.T. CompherKings (LA )C281995-04-08 08:55:06Yes193 Lbs6 ft0NoNoNo1Pro & Farm1,250,000$0$0$No
Jack HughesKings (LA )C222001-05-14 06:37:03Yes176 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
Jason RobertsonKings (LA )LW231999-07-22 13:34:16Yes209 Lbs6 ft3NoNoNo1Pro & Farm795,000$0$0$No
Joe VelenoKings (LA )C232000-01-13 03:17:34Yes194 Lbs6 ft1NoNoNo2Pro & Farm894,167$0$0$No894,167$
Joel FarabeeKings (LA )LW232000-02-25 06:34:13Yes163 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
Kaapo KakkoKings (LA )RW222001-02-13 06:26:24Yes198 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Kirill KaprizovKings (LA )LW261997-04-26 13:29:06Yes201 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
Logan ThompsonKings (LA )G261997-02-25 04:21:20Yes181 Lbs6 ft3NoNoNo3Pro & Farm766,667$0$0$No766,667$766,667$
Michael BuntingKings (LA )RW271995-09-17 04:08:07Yes185 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No950,000$
Mike VecchioneKings (LA )RW301993-02-25 13:25:40Yes194 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$No
Neal PionkKings (LA )D271995-07-29 10:28:15Yes186 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Nicolas HagueKings (LA )D241998-12-05 13:40:06Yes214 Lbs6 ft6NoNoNo1Pro & Farm791,667$0$0$No
Oscar KlefbomKings (LA )D291993-07-20 11:11:13No222 Lbs6 ft3NoNoNo1Pro & Farm1,750,000$0$0$No
Philippe MyersKings (LA )D261997-01-25 08:14:37Yes209 Lbs6 ft5NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Robert ThomasKings (LA )C231999-07-02 12:51:18Yes188 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Roope HintzKings (LA )LW261996-11-17 02:27:43Yes220 Lbs6 ft3NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Wyatt KalynukKings (LA )D261997-04-14 04:11:48Yes181 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
Yegor SharangovichKings (LA )LW251998-06-06 03:48:41Yes203 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
Yegor ZamulaKings (LA )D232000-03-30 11:28:00Yes176 Lbs6 ft3NoNoNo3Pro & Farm756,667$0$0$No756,667$756,667$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.43195 Lbs6 ft11.821,255,625$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.T. CompherDrake Batherson34122
2Jason RobertsonRobert ThomasAndrei Svechnikov34122
3Roope HintzJack HughesAlex Tuch25122
4Joel FarabeeGabriel VilardiMichael Bunting7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale Makar35122
2Neal Pionk35122
3Devon ToewsNicolas Hague30122
4Cale Makar0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.T. CompherAlex Tuch60122
2Roope HintzRobert ThomasAndrei Svechnikov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jason Robertson60122
2Cale MakarDrake Batherson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1J.T. CompherAlex Tuch60122
2Robert ThomasRoope Hintz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Neal Pionk60122
2Devon Toews40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1J.T. Compher60122Neal Pionk60122
2Alex Tuch40122Devon Toews40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1J.T. CompherAlex Tuch60122
2Roope HintzAndrei Svechnikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Neal Pionk60122
2Devon Toews40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. CompherAlex Tuch
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. CompherAlex Tuch
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Roope Hintz, Joel Farabee, Gabriel VilardiJason Robertson, Joel FarabeeGabriel Vilardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nicolas Hague, Cale MakarNeal PionkNicolas Hague, Cale Makar
Tirs de pénalité
J.T. Compher, Alex Tuch, Andrei Svechnikov, , Jason Robertson
Gardien
#1 : Ilya Sorokin, #2 : Igor Shesterkin
Lignes d’attaque personnalisées en prolongation
J.T. Compher, Alex Tuch, Andrei Svechnikov, , Jason Robertson, Jack Hughes, Jack Hughes, Drake Batherson, Joel Farabee, Gabriel Vilardi, Roope Hintz
Lignes de défense personnalisées en prolongation
, Neal Pionk, Cale Makar, Devon Toews,


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
1Avalanche624000001822-43120000099031200000913-440.3331829470034110179576359020260591391715.88%22481.82%17515349.02%7816946.15%468852.27%131751255510452
Total624000001822-43120000099031200000913-440.3331829470034110179576359020260591391715.88%22481.82%17515349.02%7816946.15%468852.27%131751255510452
_Since Last GM Reset624000001822-43120000099031200000913-440.3331829470034110179576359020260591391715.88%22481.82%17515349.02%7816946.15%468852.27%131751255510452
_Vs Conference624000001822-43120000099031200000913-440.3331829470034110179576359020260591391715.88%22481.82%17515349.02%7816946.15%468852.27%131751255510452

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1182947179202605913900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001822
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000099
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000913
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1715.88%22481.82%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
576359034110
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
7515349.02%7816946.15%468852.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
131751255510452


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
2 - 2022-10-195Kings5Avalanche1AWSommaire du match
4 - 2022-10-2113Kings2Avalanche8ALSommaire du match
6 - 2022-10-2321Avalanche2Kings4BWSommaire du match
8 - 2022-10-2529Avalanche3Kings2BLSommaire du match
10 - 2022-10-2737Kings2Avalanche4ALSommaire du match
12 - 2022-10-2945Avalanche4Kings3BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5535
Assistance5,7002,850
Assistance PCT95.00%95.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2850 - 95.00% 185,962$557,886$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,515,751$ 1,565,751$ 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 (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
1Teemu Pulkkinen78284371-1111923513026610.53%25155519.95712194211272240.8210.9139
2Brock McGinn 77273158-31610611220713.04%44155520.2039122511278438.1900.7538
3Ryan Donato82233255-151615518516713.77%31151718.5057121500022146.0900.7335
4Rasmus Dahlin76104252-3561301882044.90%111183724.175914320003110.00%00.5700
5Victor Olofsson792427510161301062479.72%34150819.1037101211296330.0000.6817

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
1Jhonas Enroth60311960.9092.803450201611777746620.83931
2Samuel Montembeault2891230.9023.1914882079803367020.58312
3Mads Sogaard21100.9202.40500022514000.00%0

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
1782303205465245251-641181301234126123341121904231119128-9912454106554062908218248483782179474260984963421332384318.07%2694284.39%5928188449.26%924203145.49%627119952.29%1760100217807601455728
Total Saison régulière823629044362622575412111031321381162241151801304124141-17962624226840082908310256984087782564246584065920962545120.08%2634284.03%41053198653.02%969194149.92%576118448.65%1847108817017431432715
Séries éliminatoires
Total Séries éliminatoires624000001822-43120000099031200000913-441829470034110179576359020260591391715.88%22481.82%17515349.02%7816946.15%468852.27%131751255510452

Kings Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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