Connexion

Kings
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Alexandre Couture | Morale : 70 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlexandre Couture
EntraîneurMarc Andre Dumont
DivisionPacifique
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 60
Espoirs12


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique94-54-14 (0.580%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)5-8
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
1Dylan CozensX100.00656087807582948085716966755555086720211900,000$
2Danton HeinenXX100.006760967573779274706773717464640877102731,900,000$
3Tomas NosekXX100.007160917081769066896866796664640877003021,500,000$
4Nicolas DeslauriersXX100.008895727386719667706367706771710906903121,500,000$
5Mitchell StephensX100.006760937073716066886960756355550906602521,500,000$
6Benoit-Olivier Groulx (R)X100.00706097717760606783606477665555090660222900,000$
7Mackenzie MacEachernX100.007460927078676067706262686555550876402831,300,000$
8Nic PetanXXX100.00636094756660607275606066665656090630273900,000$
9Dylan SikuraXX100.006060607365606060706060606055550906202721,500,000$
10Alexander RomanovX100.00856587808281986650656482655555086740221900,000$
11Jan RuttaX100.007060867279749086506964737560600907203231,500,000$
12Andy GreeneX100.006660966571779366506464816593920907203911,000,000$
13Ben HuttonX100.006970907079757966506666786668680907102921,900,000$
14Jarred TinordiX100.008465886892766068506260826455550877003031,100,000$
15Jeremy DaviesX100.006660887270606069506360666555550906402521,500,000$
16Brendan GuhleX100.00606060797460606050606060605555090620251900,000$
Rayé
MOYENNE D’ÉQUIPE100.0070638673767076696664647266616108968
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
1Harri Sateri100.00786671796666626670666671690906723331,300,000$
2Joey Daccord100.00806571806565606570656571690906722631,200,000$
Rayé
1Hunter Miska100.00836571736565616570656566670876622731,300,000$
2Magnus Hellberg100.00736165916161616162616165670906323131,400,000$
3Antoine Bibeau100.00776060846060606060606064640906222821,900,000$
4Landon Bow100.00726060916060606060606062630876222731,300,000$
5Adam Wilcox100.00826060746060606060606061620876122931,300,000$
6Hunter Jones (R)100.0078606082606060606060606060090612221900,000$
MOYENNE D’ÉQUIPE100.007862658262626162646262656508964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Andre Dumont68727078606865CAN4821,000,000$


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
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


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 Plafond 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
Adam WilcoxKings (LAK)G291992-11-26No190 Lbs6 ft0NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Alexander RomanovKings (LAK)D222000-01-06No208 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Andy GreeneKings (LAK)D391982-10-30No190 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Antoine BibeauKings (LAK)G281994-05-01No205 Lbs6 ft3NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Ben HuttonKings (LAK)D291993-04-20No207 Lbs6 ft2NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Benoit-Olivier GroulxKings (LAK)C222000-02-06Yes195 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Brendan GuhleKings (LAK)D251997-07-29No196 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Danton HeinenKings (LAK)LW/RW271995-07-05No185 Lbs6 ft1NoNoNo3Pro & Farm1,900,000$0$0$No1,900,000$1,900,000$Lien
Dylan CozensKings (LAK)C212001-02-09No188 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Dylan SikuraKings (LAK)LW/RW271995-06-01No166 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Harri SateriKings (LAK)G331989-08-29No205 Lbs6 ft1NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Hunter JonesKings (LAK)G222000-09-21Yes184 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
Hunter MiskaKings (LAK)G271995-07-07No175 Lbs6 ft1NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Jan RuttaKings (LAK)D321990-07-29No200 Lbs6 ft3NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
Jarred TinordiKings (LAK)D301992-02-20No225 Lbs6 ft6NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien
Jeremy DaviesKings (LAK)D251996-12-04No180 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Joey DaccordKings (LAK)G261996-08-19No197 Lbs6 ft2NoNoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$Lien
Landon BowKings (LAK)G271995-08-24No210 Lbs6 ft5NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Mackenzie MacEachernKings (LAK)LW281994-03-09No190 Lbs6 ft2NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Magnus HellbergKings (LAK)G311991-04-04No209 Lbs6 ft5NoNoNo3Pro & Farm1,400,000$0$0$No1,400,000$1,400,000$Lien
Mitchell StephensKings (LAK)C251997-02-05No193 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Nic PetanKings (LAK)C/LW/RW271995-03-22No179 Lbs5 ft9NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Nicolas DeslauriersKings (LAK)LW/RW311991-02-22No215 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Tomas NosekKings (LAK)C/LW301992-09-01No210 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.63196 Lbs6 ft22.251,304,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenDylan CozensNicolas Deslauriers40122
2Mackenzie MacEachernTomas NosekNic Petan30122
3Dylan SikuraBenoit-Olivier GroulxMitchell Stephens20122
4Dylan CozensMitchell StephensDanton Heinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndy Greene40122
2Jan RuttaBen Hutton30122
3Jarred TinordiJeremy Davies20122
4Brendan GuhleAlexander Romanov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenDylan CozensNicolas Deslauriers60122
2Mackenzie MacEachernTomas NosekNic Petan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndy Greene60122
2Jan RuttaBen Hutton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan CozensDanton Heinen60122
2Tomas NosekNicolas Deslauriers40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndy Greene60122
2Jan RuttaBen Hutton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Cozens60122Alexander RomanovAndy Greene60122
2Danton Heinen40122Jan RuttaBen Hutton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan CozensDanton Heinen60122
2Tomas NosekNicolas Deslauriers40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndy Greene60122
2Jan RuttaBen Hutton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenDylan CozensNicolas DeslauriersAlexander RomanovAndy Greene
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenDylan CozensNicolas DeslauriersAlexander RomanovAndy Greene
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benoit-Olivier Groulx, Dylan Sikura, Mitchell StephensBenoit-Olivier Groulx, Dylan SikuraMitchell Stephens
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jarred Tinordi, Jeremy Davies, Brendan GuhleJarred TinordiJeremy Davies, Brendan Guhle
Tirs de pénalité
Dylan Cozens, Danton Heinen, Tomas Nosek, Nicolas Deslauriers, Benoit-Olivier Groulx
Gardien
#1 : Joey Daccord, #2 : Harri Sateri


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,130,000$ 3,130,000$ 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 (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
1Greg McKegg1645380133386426021445711.60%39263016.041418329501117455.7701.0111
2Tyler Pitlick944666112257433015340311.41%39189120.121614309000008746.4801.1839
3Mitchell Stephens164525310528241033935289.85%90206212.57000301115560.7601.0200
4Alexandre Texier773163942214502163309.39%33153519.94419235200044150.8911.2201
5Artem Anisimov8046459110143721638811.86%17154019.26717248310147463.8141.1800

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
1Antoine Bibeau1004935100.8923.8255568035432870210.85714
2Adin Hill59371260.9183.2033624117921740120.76926
3Hunter Jones158600.9022.9082924404080110.00%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
482402206446343295484120100431316614818412012021331771473011034359393621125112961133049881117113895326195561020473037324.09%2735480.22%31634307153.21%1708329551.84%728138752.49%1879131921045971010491
2021824032026203273012641201501410172154184120170121015514789432758891524132109824325510551151102928271681466921102816523.13%3037276.24%21811319456.70%1447269353.73%839141859.17%2159154617715511014532
Total Saison régulière164805408106667059674824025057233383023682402903343332294382046701181185145257221178156559204322682167123597717691279415758413823.63%57612678.13%53445626554.99%3155598852.69%1567280555.86%403928653876114820241024
Séries éliminatoires
440400000920-1120200000512-72020000048-4091322003420131384152018645499410110.00%17382.35%06613947.48%9417653.41%357347.95%8456102305224
20219540000037334422000001616053200000211741037651020091413136310411911624311848224528828.57%36780.56%221037556.00%15331149.20%9114363.64%2441722216712060
Total Séries éliminatoires1358000004653-7624000002128-773400000252501046781240012181514941421601682449712913133938923.68%531081.13%227651453.70%24748750.72%12621658.33%3282283239817285

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
1Artem Anisimov9126181022324526.67%419721.894151010122263.5311.8300
2Paul Byron9511169101640549.26%921423.87145710152043.7501.4900
3Ben Hutton9189983112119.09%1019521.7700000000000.00%00.9200
4Nicolas Deslauriers93698163919319.68%117819.81011700000171.4301.0100
5Mitchell Stephens13178-34831352.86%119014.62000100001063.8300.8400

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
1Antoine Bibeau74200.9082.8438040181960000.00%0
2Hunter Jones51120.8814.2030000211770000.00%0
3Adin Hill30300.8875.8714300141240000.00%0