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Centre de jeu
BlueJacket
11-3-1, 23pts
6
FINAL
8 Kings
7-4-3, 17pts
Team Stats
L1StreakW2
6-2-0Home Record5-1-2
5-1-1Away Record2-3-1
6-3-1Last 10 Games5-3-2
5.00Goals Per Game4.29
3.33Goals Against Per Game4.14
31.43%Power Play Percentage34.25%
85.71%Penalty Kill Percentage80.30%
Ducks
8-8-0, 16pts
2
FINAL
4 Kings
7-4-3, 17pts
Team Stats
L2StreakW2
5-3-0Home Record5-1-2
3-5-0Away Record2-3-1
6-4-0Last 10 Games5-3-2
4.00Goals Per Game4.29
4.19Goals Against Per Game4.14
20.29%Power Play Percentage34.25%
72.60%Penalty Kill Percentage80.30%
Wild
8-4-2, 18pts
Jour 36
Kings
7-4-3, 17pts
Stats Équipe
W1SéquenceW2
5-1-1Fiche domicile5-1-2
3-3-1Fiche visiteur2-3-1
5-3-210 derniers matchs5-3-2
4.36Buts par match 4.29
3.43Buts contre par match 4.14
20.00%Pourcentage en avantage numérique34.25%
82.35%Pourcentage en désavantage numérique80.30%
Flames
3-11-1, 7pts
Jour 38
Kings
7-4-3, 17pts
Stats Équipe
W1SéquenceW2
3-4-0Fiche domicile5-1-2
0-7-1Fiche visiteur2-3-1
3-6-110 derniers matchs5-3-2
2.33Buts par match 4.29
4.67Buts contre par match 4.14
18.18%Pourcentage en avantage numérique34.25%
75.00%Pourcentage en désavantage numérique80.30%
MapleLeafs
6-8-1, 13pts
Jour 41
Kings
7-4-3, 17pts
Stats Équipe
W1SéquenceW2
4-4-1Fiche domicile5-1-2
2-4-0Fiche visiteur2-3-1
5-5-010 derniers matchs5-3-2
2.87Buts par match 4.29
3.53Buts contre par match 4.14
15.38%Pourcentage en avantage numérique34.25%
75.36%Pourcentage en désavantage numérique80.30%
Meneurs d'équipe
Nathan MacKinnonButs
Nathan MacKinnon
11
Filip ForsbergPasses
Filip Forsberg
17
Nathan MacKinnonPoints
Nathan MacKinnon
25
Kyle PalmieriPlus/Moins
Kyle Palmieri
4
Filip GustavssonVictoires
Filip Gustavsson
5
Filip GustavssonPourcentage d’arrêts
Filip Gustavsson
0.887

Stats Équipe
Buts pour
60
4.29 GFG
Tirs pour
421
30.07 Avg
Pourcentage en avantage numérique
34.2%
25 GF
Début de zone offensive
41.4%
Buts contre
58
4.14 GAA
Tirs contre
445
31.79 Avg
Pourcentage en désavantage numérique
80.3%
13 GA
Début de la zone défensive
37.9%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralSteve St-Amand
EntraîneurPatrick Roy
DivisionPacific
ConférenceWestern
CapitaineNathan MacKinnon
Assistant #1Roman Josi
Assistant #2Jonathan Toews
Uniformes
Informations de l’aréna
NomThe Sundown Center
Capacité25,000
Assistance21,372
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure29
Limite contact 50 / 50
Espoirs37
Plafond salarial
Cap Salarial de la Saison estimé73,735,014$
Plafond salarial disponible11,264,986$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour14,316,180$
Dépenses annuelles à ce jour14,547,954$
Revenus de la saison estimés59,054,242$
Dépenses de la saison estimées61,186,983$
Compte bancaire actuel78,316,548$
Compte bancaire projeté73,874,932$
Historique d'équipe
Saison actuelle7-4-3 (17PTS)
Historique987-475-117 (0.625%)
Apparitions séries éliminatoires 17
Historique séries éliminatoires (W-L)112-85
Stanley Cup4


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
1Nathan MacKinnon (C)X100.0056488099619299998199997873828745238502941$
2Filip ForsbergX100.0080538096668699924086987573848540228203016,500,000$
3John TavaresX100.0079528388698498789477806665928820247603439,500,000$
4Kyle PalmieriX100.0065468488578499724064806561908725237203315,000,000$
5Jake EvansX100.0065468480578299598761578340808150236802842,000,000$
6Alex IafalloX100.0052498980628099594056617957868335236703152,000,000$
7Ryan McLeodX100.0059488879617998608658627940747765236702512,000,000$
8Jonathan Toews (A)X100.0044557484666050699865736987967810236703623,000,000$
9Kole LindX100.0058447183567868644070507073767760236502621,000,000$
10Michael CarconeX100.005840818440749461404973654080775023640282850,000$
11Victor OlofssonX100.0050438881507478574053616370827845226202925,000,000$
12Trey Fix-WolanskyX100.0063418680477351564047657040747465236102511,210,000$
13Roman Josi (A)X100.0053527996649199934099858070929220238103448,500,000$
14Michael MathesonX100.0057497689639299794091678373848840237703014,000,000$
15Noah HanifinX100.0058538484718998724075709173788455237702714,500,000$
16Jacob MiddletonX100.0083747177778298604058617740808150237202813,000,000$
17Cam YorkX100.006247798358879963406065844070797523720231925,000$
18Torey KrugX100.0059448286528696674077567358908825237203327,000,000$
Rayé
1Taylor RaddyshX100.0067518475668193534050567840767960146402632,000,000$
Équipe Mineure
1Brendan GallagherX100.005944718447779662405667655888833024650325850,000$
2Tye KartyeX100.009950807960749656825062694070727524650231750,000$
3Mark KastelicX100.008781707582678652894757674074716524620251910,000$
4Jesse PuljujarviX100.008353857570705852404461684076736024600265850,000$
5Matthew PhillipsX100.004638908140726452405153674076746024580261910,000$
6Colton Dach (R)X100.006359748266605048404749664066638524570213925,000$
7Henrik RybinskiX100.006253827558615138403738704070667524530232925,000$
8Xavier BourgaultX100.005347817554645440403842654068668030530222925,000$
9Johnathan KovacevicX100.0068667675837785564049627740787855246902741,500,000$
10Santeri HatakkaX100.006747837659745152405450794070727524640231925,000$
11Olen Zellweger (R)X100.005341878446826161406259694066748524640213925,000$
12Mitchell VandeSompelX100.006057877552555038403243654078675531560272600,000$
13Kristian VesalainenX100.0072538875716050474042505040746765205402511,342,000$
14Jalen Luypen (R)X100.004547789243736338404135654068718020540223925,000$
15Ben McCartneyX100.005658617561605045404941594070657520530231925,000$
16Jake LeschyshynX100.0077467575596050424039445740746765205302511,210,000$
17Jan MysakX100.0057608275477161397029495540687080205202211,017,500$
18Matvey Petrov (R)X100.005239778365625236402844604066648520520213925,000$
19Tucker Robertson (R)X100.005659828952605036402843634066638520520213925,000$
20Jaydon Dureau (R)X100.006052877568605031402636509970657520490232925,000$
21Ethan Samson (R)X100.005438728170676234403236534066678520560213925,000$
22Ryan O'RourkeX100.0060847275597469334031355040687180205502211,017,500$
23Santtu KinnunenX100.005045837548726739404137504074736520550252600,000$
MOYENNE D’ÉQUIPE100.00625180816074755649545768507675592363
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
1Filip Gustavsson100.008785888674737373727391767560277502614,250,000$
2Karel Vejmelka100.007876769968666963736393807350227202831,500,000$
Rayé
Équipe Mineure
1Devon Levi (R)100.00815860847270656767677570707529680232750,000$
2Dustin Wolf100.00855160786165676463644070687529650231925,000$
3Nico Daws100.00795660946464656463648772687020660241825,000$
4Dennis Hildeby (R)100.00767075996261616062605070667520660232750,000$
5Trent Miner (R)100.00875060886364616162615070677520650232750,000$
6Gage Alexander (R)100.00755060975050505050504068598020570222925,000$
MOYENNE D’ÉQUIPE100.0081626791646464636463667268702367
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy94827898898652CAN5912,000,000$


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
1Nathan MacKinnonKingsC1411142530073282123813.41%828320.2328101756000031051.75%37100001.7701000311
2Filip ForsbergKingsLW14717243355401856194312.50%326018.602791652000000022.22%1800001.8411000041
3Roman JosiKingsD1471320-260212039132717.95%2133624.0455102857000153110.00%000011.1900000201
4Noah HanifinKingsD1471017-160281731102822.58%1831522.504482246000051000.00%000101.0800000110
5Michael MathesonKingsD1431114-212024152552012.00%1532423.213251758000051000.00%000000.8600000000
6John TavaresKingsC146713-1123540224782312.77%425718.424371449000000059.75%31800001.0100010010
7Torey KrugKingsD1411213-500712137137.69%1625218.051671046000017100.00%000001.0300000000
8Kole LindKingsLW14189-9601510961411.11%126218.730662490000110029.63%2700000.6900000000
9Alex IafalloKingsLW14235-480481341415.38%318813.48000000000530037.50%1600000.5300000000
10Kyle PalmieriKingsRW143254601291751717.65%326418.90314756000001028.57%2100000.3800000000
11Michael CarconeKingsLW14325-20093176917.65%21269.02123848000020050.00%600000.7900000000
12Jake EvansKingsC14314-310015261641718.75%619513.93000040000521049.35%23100000.4100000002
13Jonathan ToewsKingsC14314-10039122625.00%0805.7800001000000057.29%9600000.9900000000
14Cam YorkKingsD14033-3200351112170.00%3026719.1300002000149000.00%000000.2200000000
15Ryan McLeodKingsRW14202-820822144414.29%625218.06000000001531055.95%8400000.1600000000
16Trey Fix-WolanskyKingsRW14022060554130.00%0705.0100000000000040.00%500000.5700000000
17Jacob MiddletonKingsD14011-62553549250.00%1119413.910000000002000.00%000000.1000010000
18Taylor RaddyshKingsRW10000-240852260.00%011111.16000000000280028.57%700000.0000000000
19Victor OlofssonKingsRW4000000123000.00%15513.88000000000180060.00%500000.0000000000
Statistiques d’équipe totales ou en moyenne25259107166-491691531725042111129414.01%148410116.2725446914153000034516152.45%120500110.8112020675
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
1Filip GustavssonKings85210.8873.1743600232040001.000377000
2Karel VejmelkaKings72220.8584.9441300342400010.000077000
Statistiques d’équipe totales ou en moyenne157430.8724.0285000574440011.00031414000


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Alex IafalloKingsLW311993-12-21No201 Lbs6 ft0YesNoNo5Pro & Farm2,000,000$2,000,000$1,615,819$No2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Lien / Lien NHL
Cam YorkKingsD232001-01-05No194 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$747,316$No
RFA
Lien / Lien NHL
Filip ForsbergKingsLW301994-08-13No205 Lbs6 ft1NoNoYes1Pro Only6,500,000$6,500,000$5,251,412$No
UFA
Lien / Lien NHL
Filip GustavssonKingsG261998-06-07No185 Lbs6 ft2NoNoYes1Pro & Farm4,250,000$4,250,000$3,433,616$No
RFA
Lien / Lien NHL
Jacob MiddletonKingsD281996-01-02No219 Lbs6 ft3NoNoYes1Pro & Farm3,000,000$3,000,000$2,423,729$No
UFA
Lien / Lien NHL
Jake EvansKingsC281996-06-02No187 Lbs6 ft1NoNoNo4Pro & Farm2,000,000$2,000,000$1,615,819$No2,000,000$2,000,000$2,000,000$
UFA
Lien / Lien NHL
John TavaresKingsC341990-09-20No211 Lbs6 ft1NoNoYes3Pro Only9,500,000$9,500,000$7,675,141$No9,500,000$9,500,000$
UFA
Lien / Lien NHL
Jonathan ToewsKingsC361988-04-29No201 Lbs6 ft2NoNoYes2Pro & Farm3,000,000$3,000,000$2,423,729$No3,000,000$
UFA
Lien / Lien NHL
Karel VejmelkaKingsG281996-05-25No224 Lbs6 ft4NoNoNo3Pro & Farm1,500,000$1,500,000$1,211,864$No1,500,000$1,500,000$
UFA
Lien / Lien NHL
Kole LindKingsLW261998-10-16No186 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$1,000,000$807,910$No1,000,000$
UFA
Lien / Lien NHL
Kyle PalmieriKingsRW331991-02-01No196 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$4,039,548$No
UFA
Lien / Lien NHL
Michael CarconeKingsLW281996-05-19No170 Lbs5 ft9YesNoNo2Pro & Farm850,000$850,000$686,723$No850,000$
UFA
Lien / Lien NHL
Michael MathesonKingsD301994-02-27No196 Lbs6 ft2NoNoYes1Pro & Farm4,000,000$4,000,000$3,231,638$No
UFA
Lien / Lien NHL
Nathan MacKinnonKingsC291995-09-01No200 Lbs6 ft0YesNoYes4Pro Only1$1$1$No11,000,000$11,000,000$11,000,000$
UFA
Lien / Lien NHL
Noah HanifinKingsD271997-01-25No207 Lbs6 ft3NoNoYes1Pro & Farm4,500,000$4,500,000$3,635,593$No
UFA
Lien / Lien NHL
Roman JosiKingsD341990-06-01No201 Lbs6 ft1NoNoYes4Pro Only8,500,000$8,500,000$6,867,232$No8,500,000$8,500,000$8,500,000$
UFA
Lien / Lien NHL
Ryan McLeodKingsRW251999-09-21No188 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$1,615,819$No
RFA
Lien / Lien NHL
Taylor RaddyshKingsRW261998-02-18No198 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$2,000,000$1,615,819$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Torey KrugKingsD331991-04-12No194 Lbs5 ft9NoNoYes2Pro Only7,000,000$7,000,000$5,655,367$No7,000,000$
UFA
Lien / Lien NHL
Trey Fix-WolanskyKingsRW251999-05-26No191 Lbs5 ft7NoNoNo1Pro & Farm1,210,000$1,210,000$977,571$No
RFA
Lien / Lien NHL
Victor OlofssonKingsRW291995-07-18No182 Lbs5 ft11NoNoYes2Pro Only5,000,000$5,000,000$4,039,548$No5,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.00197 Lbs6 ft12.143,511,191$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,735,001$53,350,000$36,500,000$23,500,000$2,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergNathan MacKinnonKyle Palmieri35014
2Kole LindJohn TavaresRyan McLeod35023
3Alex IafalloJake EvansVictor Olofsson20032
4Michael CarconeJonathan ToewsTrey Fix-Wolansky10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roman JosiNoah Hanifin35023
2Michael MathesonCam York35023
3Jacob MiddletonTorey Krug30023
4Roman JosiNoah Hanifin0023
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergNathan MacKinnonKyle Palmieri60014
2Michael CarconeJohn TavaresKole Lind40014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roman JosiMichael Matheson60014
2Noah HanifinTorey Krug40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake EvansAlex Iafallo50041
2Ryan McLeodVictor Olofsson50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roman JosiNoah Hanifin50041
2Michael MathesonCam York50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Evans50050Roman JosiNoah Hanifin50050
2Ryan McLeod50050Michael MathesonCam York50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan MacKinnonFilip Forsberg60023
2John TavaresKyle Palmieri40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roman JosiNoah Hanifin60023
2Michael MathesonCam York40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ForsbergNathan MacKinnonKyle PalmieriRoman JosiNoah Hanifin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake EvansNathan MacKinnonRyan McLeodRoman JosiNoah Hanifin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Evans, Jonathan Toews, Kole LindJake Evans, Jonathan ToewsKole Lind
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam York, Torey Krug, Michael MathesonCam YorkTorey Krug, Michael Matheson
Tirs de pénalité
Nathan MacKinnon, Filip Forsberg, John Tavares, Kyle Palmieri, Kole Lind
Gardien
#1 : Filip Gustavsson, #2 : Karel Vejmelka


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
1BlueJacket11000000862110000008620000000000021.000814220041303112712037916167571.43%7442.86%024949450.40%25345355.85%13024752.63%2215267115
2Canadiens11000000431000000000001100000043121.00047110021102913106039136295120.00%30100.00%024949450.40%25345355.85%13024752.63%2316256115
3Ducks11000000422110000004220000000000021.000471100130028811902458214250.00%3166.67%024949450.40%25345355.85%13024752.63%2417237125
4Flyers1010000056-11010000056-10000000000000.0005914000140307815028712215120.00%6183.33%024949450.40%25345355.85%13024752.63%2517217136
5Islanders11000000431110000004310000000000021.000471100301029912802054187228.57%2150.00%024949450.40%25345355.85%13024752.63%2719206126
6Jets1010000026-4000000000001010000026-400.00024600020030124140341910216116.67%5260.00%024949450.40%25345355.85%13024752.63%2618207137
7MapleLeafs1000010045-1000000000001000010045-110.5004812001210281051302489244250.00%20100.00%024949450.40%25345355.85%13024752.63%2618247136
8Rangers1000010045-11000010045-10000000000010.50047110020203015105033314305120.00%7185.71%024949450.40%25345355.85%13024752.63%2718226126
9RedWings11000000413110000004130000000000021.00047110011203215116023610218225.00%50100.00%024949450.40%25345355.85%13024752.63%2416247115
10Sabres10000010431100000104310000000000021.00045900210128124113331018223133.33%8187.50%024949450.40%25345355.85%13024752.63%2516267136
11Senators1010000045-1000000000001010000045-100.000481200013039108210442312234125.00%50100.00%024949450.40%25345355.85%13024752.63%2316237126
12Sharks1000010034-11000010034-10000000000010.500358002100231184030171726200.00%60100.00%024949450.40%25345355.85%13024752.63%2013278136
13Stars11000000633000000000001100000063321.000612180032104014141203412191710550.00%2150.00%024949450.40%25345355.85%13024752.63%2720206115
14Wild1010000046-2000000000001010000046-200.0004711101210249690421114283133.33%5180.00%024949450.40%25345355.85%13024752.63%2013277125
Total146400310605828410021036306623001002428-4170.607601071671022181914211571181453445148169317732534.25%661380.30%024949450.40%25345355.85%13024752.63%34423833310117487
_Since Last GM Reset146400310605828410021036306623001002428-4170.607601071671022181914211571181453445148169317732534.25%661380.30%024949450.40%25345355.85%13024752.63%34423833310117487
_Vs Conference522001001921-221000100761312000001215-350.50019355410710201455443480164646811325936.00%21576.19%024949450.40%25345355.85%13024752.63%11982119366230
_Vs Division21000100761210001007610000000000030.75071219003400511919130542225476233.33%9188.89%024949450.40%25345355.85%13024752.63%443051152511

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1417W26010716742144514816931710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
146403106058
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84102103630
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62301002428
Derniers 10 matchs
WLOTWOTL SOWSOL
430210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
732534.25%661380.30%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
15711814532218191
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
24949450.40%25345355.85%13024752.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
34423833310117487


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
316Sharks4Kings3BLXSommaire du match
531RedWings1Kings4BWSommaire du match
741Kings2Jets6ALSommaire du match
950Kings4Canadiens3AWSommaire du match
1067Kings4Senators5ALSommaire du match
1277Kings4MapleLeafs5ALXSommaire du match
1593Islanders3Kings4BWSommaire du match
17106Sabres3Kings4BWXXSommaire du match
20124Kings6Stars3AWSommaire du match
22141Kings4Wild6ALSommaire du match
25163Rangers5Kings4BLXSommaire du match
29184Flyers6Kings5BLSommaire du match
31198BlueJacket6Kings8BWSommaire du match
34217Ducks2Kings4BWSommaire du match
36231Wild-Kings-
38248Flames-Kings-
41267MapleLeafs-Kings-
44287Kings-Blackhawks-
45297Kings-Predators-
47314Kings-Blues-
49324Avalanche-Kings-
51350Canucks-Kings-
52359Oilers-Kings-
54375Kings-Canucks-
56384Kings-Oilers-
57391Kings-Flames-
59409Hurricanes-Kings-
61420Coyotes-Kings-
63432Devils-Kings-
65451GoldenKnights-Kings-
67461Kings-RedWings-
68466Kings-Sabres-
70480Kings-BlueJacket-
72502Kings-Penguins-
75522Jets-Kings-
79555Kings-Sharks-
80566Kings-GoldenKnights-
81570Coyotes-Kings-
83590GoldenKnights-Kings-
85604Kings-Avalanche-
86614Kings-GoldenKnights-
88623Lightning-Kings-
90638Oilers-Kings-
92655Kings-Sharks-
95674Senators-Kings-
97691Penguins-Kings-
100714Kings-Wild-
102727Kings-Stars-
104741Kings-Avalanche-
106758Blues-Kings-
114795Kings-Islanders-
116806Kings-Rangers-
117815Kings-Devils-
119834Kings-Flyers-
121839Kings-Bruins-
123862Kings-Capitals-
126882Canucks-Kings-
128896Bruins-Kings-
130914Capitals-Kings-
133934Kings-Predators-
135949Kings-Panthers-
137965Kings-Lightning-
138970Kings-Hurricanes-
140987Stars-Kings-
1421004Blackhawks-Kings-
1451023Canadiens-Kings-
1471039Blues-Kings-
1491048Kings-Coyotes-
1501060Kings-Ducks-
1541086Predators-Kings-
1561103Panthers-Kings-
1581119Jets-Kings-
1611142Sharks-Kings-
1631155Ducks-Kings-
1651169Kings-Flames-
1661180Kings-Oilers-
1681195Kings-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701206Blackhawks-Kings-
1721223Flames-Kings-
1731229Kings-Coyotes-
1761254Kings-Ducks-
1771263GoldenKnights-Kings-


Charte de profondeur
Ailier gaucheCentreAilier droit
Filip Forsberg
Filip Forsberg
AGE:30
SK:96
EN:86
DU:99
PH:92
PA:86
SC:98
DF:75
Alex Iafallo
Alex Iafallo
AGE:31
SK:80
EN:80
DU:99
PH:59
PA:56
SC:61
DF:79
Tye Kartye
Tye Kartye
AGE:23
SK:79
EN:74
DU:96
PH:56
PA:50
SC:62
DF:69
Kole Lind
Kole Lind
AGE:26
SK:83
EN:78
DU:68
PH:64
PA:70
SC:50
DF:70
Michael Carcone
Michael Carcone
AGE:28
SK:84
EN:74
DU:94
PH:61
PA:49
SC:73
DF:65
Colton Dach (R)
Colton Dach
AGE:21
SK:82
EN:60
DU:50
PH:48
PA:47
SC:49
DF:66
Jalen Luypen (R)
Jalen Luypen
AGE:22
SK:92
EN:73
DU:63
PH:38
PA:41
SC:35
DF:65
Kristian Vesalainen
Kristian Vesalainen
AGE:25
SK:75
EN:60
DU:50
PH:47
PA:42
SC:50
DF:50
Ben McCartney
Ben McCartney
AGE:23
SK:75
EN:60
DU:50
PH:45
PA:49
SC:41
DF:59
Jake Leschyshyn
Jake Leschyshyn
AGE:25
SK:75
EN:60
DU:50
PH:42
PA:39
SC:44
DF:57
Matvey Petrov (R)
Matvey Petrov
AGE:21
SK:83
EN:62
DU:52
PH:36
PA:28
SC:44
DF:60
Tucker Robertson (R)
Tucker Robertson
AGE:21
SK:89
EN:60
DU:50
PH:36
PA:28
SC:43
DF:63
Jaydon Dureau (R)
Jaydon Dureau
AGE:23
SK:75
EN:60
DU:50
PH:31
PA:26
SC:36
DF:50
Nathan MacKinnon
Nathan MacKinnon
AGE:29
SK:99
EN:92
DU:99
PH:99
PA:99
SC:99
DF:78
John Tavares
John Tavares
AGE:34
SK:88
EN:84
DU:98
PH:78
PA:77
SC:80
DF:66
Jake Evans
Jake Evans
AGE:28
SK:80
EN:82
DU:99
PH:59
PA:61
SC:57
DF:83
Jonathan Toews
Jonathan Toews
AGE:36
SK:84
EN:60
DU:50
PH:69
PA:65
SC:73
DF:69
Mark Kastelic
Mark Kastelic
AGE:25
SK:75
EN:67
DU:86
PH:52
PA:47
SC:57
DF:67
Jan Mysak
Jan Mysak
AGE:22
SK:75
EN:71
DU:61
PH:39
PA:29
SC:49
DF:55
Kyle Palmieri
Kyle Palmieri
AGE:33
SK:88
EN:84
DU:99
PH:72
PA:64
SC:80
DF:65
Ryan McLeod
Ryan McLeod
AGE:25
SK:79
EN:79
DU:98
PH:60
PA:58
SC:62
DF:79
Brendan Gallagher
Brendan Gallagher
AGE:32
SK:84
EN:77
DU:96
PH:62
PA:56
SC:67
DF:65
Taylor Raddysh
Taylor Raddysh
AGE:26
SK:75
EN:81
DU:93
PH:53
PA:50
SC:56
DF:78
Victor Olofsson
Victor Olofsson
AGE:29
SK:81
EN:74
DU:78
PH:57
PA:53
SC:61
DF:63
Trey Fix-Wolansky
Trey Fix-Wolansky
AGE:25
SK:80
EN:73
DU:51
PH:56
PA:47
SC:65
DF:70
Jesse Puljujarvi
Jesse Puljujarvi
AGE:26
SK:75
EN:70
DU:58
PH:52
PA:44
SC:61
DF:68
Matthew Phillips
Matthew Phillips
AGE:26
SK:81
EN:72
DU:64
PH:52
PA:51
SC:53
DF:67
Xavier Bourgault
Xavier Bourgault
AGE:22
SK:75
EN:64
DU:54
PH:40
PA:38
SC:42
DF:65
Henrik Rybinski
Henrik Rybinski
AGE:23
SK:75
EN:61
DU:51
PH:38
PA:37
SC:38
DF:70

Défense #1Défense #2Gardien
Roman Josi
Roman Josi
AGE:34
SK:96
EN:91
DU:99
PH:93
PA:99
SC:85
DF:80
Noah Hanifin
Noah Hanifin
AGE:27
SK:84
EN:89
DU:98
PH:72
PA:75
SC:70
DF:91
Michael Matheson
Michael Matheson
AGE:30
SK:89
EN:92
DU:99
PH:79
PA:91
SC:67
DF:83
Cam York
Cam York
AGE:23
SK:83
EN:87
DU:99
PH:63
PA:60
SC:65
DF:84
Jacob Middleton
Jacob Middleton
AGE:28
SK:77
EN:82
DU:98
PH:60
PA:58
SC:61
DF:77
Torey Krug
Torey Krug
AGE:33
SK:86
EN:86
DU:96
PH:67
PA:77
SC:56
DF:73
Johnathan Kovacevic
Johnathan Kovacevic
AGE:27
SK:75
EN:77
DU:85
PH:56
PA:49
SC:62
DF:77
Olen Zellweger (R)
Olen Zellweger
AGE:21
SK:84
EN:82
DU:61
PH:61
PA:62
SC:59
DF:69
Santeri Hatakka
Santeri Hatakka
AGE:23
SK:76
EN:74
DU:51
PH:52
PA:54
SC:50
DF:79
Ethan Samson (R)
Ethan Samson
AGE:21
SK:81
EN:67
DU:62
PH:34
PA:32
SC:36
DF:53
Mitchell VandeSompel
Mitchell VandeSompel
AGE:27
SK:75
EN:55
DU:50
PH:38
PA:32
SC:43
DF:65
Ryan O'Rourke
Ryan O'Rourke
AGE:22
SK:75
EN:74
DU:69
PH:33
PA:31
SC:35
DF:50
Santtu Kinnunen
Santtu Kinnunen
AGE:25
SK:75
EN:72
DU:67
PH:39
PA:41
SC:37
DF:50
Filip Gustavsson
Filip Gustavsson
AGE:26
SK:87
AG:74
RB:73
SC:73
HS:73
RT:72
DF:73
Karel Vejmelka
Karel Vejmelka
AGE:28
SK:78
AG:68
RB:66
SC:69
HS:63
RT:73
DF:63
Devon Levi (R)
Devon Levi
AGE:23
SK:81
AG:72
RB:70
SC:65
HS:67
RT:67
DF:67
Dennis Hildeby (R)
Dennis Hildeby
AGE:23
SK:76
AG:62
RB:61
SC:61
HS:60
RT:62
DF:60
Nico Daws
Nico Daws
AGE:24
SK:79
AG:64
RB:64
SC:65
HS:64
RT:63
DF:64
Dustin Wolf
Dustin Wolf
AGE:23
SK:85
AG:61
RB:65
SC:67
HS:64
RT:63
DF:64
Trent Miner (R)
Trent Miner
AGE:23
SK:87
AG:63
RB:64
SC:61
HS:61
RT:62
DF:61
Gage Alexander (R)
Gage Alexander
AGE:22
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Espoirs
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Alex CottonKings2034120
Alexandre BlaisKings203886
Andrey KrutovKings2038210
Anton AnderssonKings2031173
Brandon SaigeonKings2032120
Brayden YagerKings203714
Chase ClarkKings2035206
Cole KnubleKings2037107
Daniil SobolevKings2035171
Felix Unger SorumKings203776
Hudson MalinoskiKings2037138
Hugo GabrielsonKings2035186
Jakov NovakKings2032210
James ReederKings2038117
Joel Ratkovic BerndtssonKings2036175
Jordan DumaisKings203651
Josh PillarKings2035124
Justin PoirierKings203855
Liam GreentreeKings203824
Lucas ForsellKings2035180
Mac SwansonKings2038179
Melvin FernstromKings203868
Mikael HakkarainenKings2032139
Nate MisskeyKings2038148
Nick MalikKings2036144
Owen PickeringKings203620
Ryan ConmyKings2037169
Ryan MastKings2035175
Ryan McclearyKings2035217
Simon KnakKings2035138
Toni UtunenKings2032150
Tyson GallowayKings2035174
Vyacheslav PeksaKings2035207
William Von Barnekow LofbergKings2035176
Yegor YegorovKings2037200
Yevgeni OksentyukKings203489
Zach FischerKings203183

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2039
2040
2041



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
1Jonathan Toews1420710959166934265012694318581112.22%5443105921.8721138259314972115361651174256.37%321.0724100
2John Tavares1487681959164035642010133441549112.40%2202781218.701883655531398404341123455.03%191.183490
3Nathan MacKinnon99850569111963933988511870396412.74%1731919019.23130285415107212315852851.68%191.25844
4PK Subban104020276997126713352378137224138.37%11662471823.771412854261495178202370.00%00.7900
5Filip Forsberg71333041574530175216881040266712.37%1621490420.90102146248795731053401935.84%81.001234

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
1Carey Price886554262530.9032.8251819724624342517817355890.775240
2Anton Khudobin1641064530.9082.6895082742446050820.86760
3Filip Gustavsson956316100.9132.43530681221524660400.84219
4Chris Mason1175043120.9063.01654719332834911480920.77854
5Simeon Varlamov91501890.9112.604890812122371733600.73534

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
20178238350124226724225412117011101411212041171800132126121580267437704120761087826920907929848255485879719492472811.34%1442582.64%21057208250.77%927185350.03%725138952.20%1868112118097801446746
2018825118013272922187441241101122139109304127700205153109441072924717630208110810027760928999839257285560118442244218.75%921682.61%31050199952.53%995197050.51%707135852.06%1888115316367001447746
20198243240316527121853412510020131411083341181401152130110209327144671712073949528400915977930253385763818202373715.61%971287.63%21185223353.07%1019189553.77%634122551.76%1969122415866921428738
202082382702735256225314121801524139109304117190121111711618725642868422079908227740945963845253084968618602404217.50%951683.16%11169217553.75%1036190154.50%641124951.32%1951120515976871424739
202182502402222284207774124110122114610244412613010011381053310628449477805010310176277609448949202185679819171348410722.11%3475883.29%21843329455.95%1414277950.88%676122555.18%2134150318075921005523
202282492305311296210864129702111157966141201603200139114251112965158110809510194285708899749792244708924178745810122.05%3737779.36%11759330253.27%1459282151.72%679129452.47%2106147118106051030532
20238241280325332827058411813011531691363341231502100159134259032858190903011711885270409029258522396726973169246511023.66%3788078.84%41587308351.48%1444281651.28%695138450.22%2088146818615921021529
20248245240417131922792412311021311501054541221302040169122471143195598782501161019129830103410168982431732910186947912025.05%3656083.56%51713334451.23%1557298052.25%734132755.31%2063143618825991021530
202582481903363355250105412380124318212458412511021201731264712035563498924012312697312901060103510092390677859173645311425.17%3347477.84%61827337754.10%1468279652.50%745137354.26%2112149818415911021528
2026825122030513432509341288010311931276641231402020150123271193436119540101241111002965010239489722410722920172047211624.58%3777081.43%61742329752.84%1551289753.54%733135754.02%2047142618845991022520
2027824822031442892286141299001111541104441191303033135118171152895138020401038990252408188088742352707971177746511725.16%3955985.06%21579306751.48%1491291751.11%688133651.50%2081146018675991016517
203082412403167313245684124100202315810652411714011441551391610831354886107011310091289709479189842390711960175545410322.69%4098678.97%41799328454.78%1444275652.39%697136251.17%2122148418296031040536
2031823927053442872384941161703131135123124123100221315211537103287501788150111927526910899849912253072495416494339221.25%3937481.17%21655308953.58%1529298251.27%695130953.09%2050143519065951019516
2032823729033732962435341191402051155117384118150132214112615100296510806120112908428870950938963242473282816664408318.86%3546581.64%31702323952.55%1531282854.14%704133852.62%2084146718686071031521
20338252160525236223312941269011311801146641267041211821196312836263799914013211610431140101899810652421707929174341911928.40%3756084.00%71832334454.78%1499285352.54%718135852.87%2073144918506011045533
203482492105142323212111412510020311641046041241103111159108511193235708930401161098928480927943953237070285916783969724.49%3555883.66%61817322056.43%1583288554.87%751131956.94%2100147818365941024521
203582393303421280274641201701201132134-24119160222014814089328049377333096879225470860868802248774497816913897419.02%4067382.02%41639292056.13%1658285858.01%737134754.71%2029141118946051024516
20368239340250233629640412215011021821493341171901400154147789336609945130124991112942096796210002397738842170445811124.24%3517678.35%31833320457.21%1365257453.03%771139155.43%2097147918155881025528
2037824721046223282271014124903410173111624123120121215511639114328579907210134120688282190096193241238371683617004369722.25%3625983.70%61694306655.25%1492278853.52%724133754.15%2062144518795971018522
2038146400310605828410021036306623001002428-417601071671022181914211571181453445148169317732534.25%661380.30%024949450.40%25345355.85%13024752.63%34423833310117487
Total Saison régulière157285147506053765758854571131478744521502826433030262235791785406260032273327285923365232013588510243161281876156203219271643541881057180121802116689464441429216453336707722173522.47%6068111181.69%69307315711353.81%267155060252.79%135842552553.22%392782686134800119402129210939
Séries éliminatoires
2018191630000075403511101000003719188620000038211732751221970102729166310204225179590213174452611422.95%22481.82%023545451.76%21746147.07%17432853.05%434265400165334173
2019126600000393636330000019181633000002018212396810700013151041501371451273771297127725312.00%16287.50%016730554.75%13125551.37%8519942.71%281178246100204102
2020624000001617-13120000078-13120000099041628441005562000617762167589614615533.33%12375.00%07814454.17%8315055.33%539754.64%143871105010655
20217340000021165422000001511431200000651621416201011462240667880175599016932515.63%34391.18%013425153.39%14023958.58%5611050.91%167115165548643
20221257000003137-6725000001727-1053200000141041031518201015794040150109138357130123270621117.74%571278.95%123846950.75%21841352.78%9618651.61%3002092828915276
202310640000043367532000002016453200000232031243771200009171635009811312131396176236671319.40%541081.48%021641052.68%21437257.53%8217048.24%2681862407813467
2024624000002025-53120000010100312000001015-542037570009651870656557223596715434514.71%27774.07%010023342.92%10724443.85%5310053.00%14399141437538
202522166000009554411210200000512229106400000443212329516626103035292973302552302316821981984521103430.91%771383.12%141079951.31%41582350.43%17036246.96%543382525164278140
20261257000004552-7734000002528-3523000002024-41045841290001914114510148180120402110149239732027.40%652167.69%128552354.49%23044052.27%11821355.40%2952042778814976
20277340000021210413000001114-332100000107362137581009652100696455231828517354916.67%38586.84%011728740.77%13527748.74%5311745.30%1881261766010150
20301376000004944564200000211837340000028262144989138010212264260158141127430100177289731520.55%681380.88%125648752.57%25448951.94%11521952.51%3192182979516383
20312316700000957223117400000433310129300000523913329516726211030313076802282432597062112105411373626.28%921682.61%044188649.77%40880850.50%18339646.21%604422550179310154
2032514000001320-72020000059-431200000811-321323360002551710546650149404711322522.73%21480.95%011119257.81%8916753.29%438153.09%12285113356332
20331156000003742-5624000002225-3532000001517-210376299000128143660110114128371103127265491020.41%571180.70%023643654.13%19142245.26%11120254.95%2781912768314773
203421165000007866121192000004336710730000035305327814222000023282071502072512057871822454691052120.00%1011189.11%045384353.74%47085255.16%17734451.45%548380545166282142
20357340000024231422000001413131200000101006244367000810522607465762203876139451226.67%29775.86%014727254.04%13424055.83%6812056.67%185130160509146
2037404000001022-1220200000413-92020000069-3010192900361098423026014855518618316.67%20765.00%06513050.00%7616147.20%307639.47%8255106295023
Total Séries éliminatoires19711285000007126238910460440000036432044935241000003483034522471212561968383254237193657542211421922015632818632162447098222122.51%79014981.14%43689712151.80%3512681351.55%1667332050.21%490733404617153727341380

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
1Jonathan Toews189971352321211420262077112.58%75432022.863257892061341315554.78%31.0700
2John Tavares19691108199224710648671512.73%26365418.64244468178000015753.12%51.0900
3Nathan MacKinnon131538113484011922647111.25%22270820.6815314611800047446.52%20.9900
4PK Subban14124101125-21983151932858.42%184341524.221635511680110220.00%00.7300
5Corey Perry10657641212515325512339314.50%24219520.72202343120000012234.33%01.1000

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
1Carey Price1387650100.9003.078243874224220199930.0000
2Anton Khudobin2313810.9082.99146520737930100.0000
3Simeon Varlamov139200.9381.927512024388156200.0000
4Chris Mason108200.9162.466092125296114100.0000
5Niklas Svedberg105220.8773.6853800332690000.0000