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OTHL - Kings 

Kings

GP: 82 | W: 45 | L: 31 | OTL: 6 | P: 96
GF: 241 | GA: 231 | PP%: 19.61% | PK%: 80.00%
DG: Jordan | Morale : 50 | Moyenne d'Équipe : 71
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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 SP
1Alex Ovechkin (C)X98.009348859086859995308397555488948850800
2Nathan MacKinnon (A)X100.006943879774899597829593558468698750800
3Elias LindholmXX98.007543918671849886929184764270708550780
4Jonathan HuberdeauX100.006942858369809391569886646569708450770
5Mitch MarnerX100.006341918265849980549983736360618350760
6Brock BoeserX100.005941898871818392438187535363637950730
7Jaden SchwartzX100.007343928668788377437870632570727350700
8Yanni GourdeXXX100.007574778162729870667679762556577750700
9Zack KassianX100.009078648379729465256774722569707250690
10Miles WoodXX100.008076619275658770256770672558597150670
11Carter Verhaeghe (R)X100.007368866468808370806867686454546950650
12Riley NashXX100.007353917971589462576156768569706550650
13P.K. SubbanX100.007644739076889084297158822573777050760
14Seth JonesX100.007945889080969479257453832568697250760
15Neal PionkX97.768469858071839268256249902553536850720
16Travis HamonicX100.006753858577828959255350912572736650720
17Nate SchmidtX100.006742958471858672256758822565677150720
18Adam PelechX100.008446907281769562255648832559596550690
Rayé
1Jordan Greenway (R)XX100.006954888087668062396268602555556850630
2Christian Wolanin (R)X100.006341938270727676256254672557576550650
3Calle RosenX100.007065817065757962256246644455556050620
MOYENNE D'ÉQUIPE99.70745385837379907543736871416465735071
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 SP
1Devan Dubnyk100.00819390907586698183817371728150790
2Malcolm Subban99.00665352787259606869659548486450620
Rayé
MOYENNE D'ÉQUIPE99.5074737184747365757673846060735071
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau64816082958378CAN6033,500,000$


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

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# 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
1Alex OvechkinKingsLW82323769261112526777341872419.38%4170820.8431013522350005604132.31%13000200.814101311082
2Nathan MacKinnonKingsC793138692216054205355972568.73%5159620.216111750223000036150.39%218900010.8648000554
3Mitch MarnerKingsRW8225406528603189253561439.88%28154118.80771451232000004238.00%10000000.8423000583
4Elias LindholmKingsC/RW7826346014340101163290651948.97%29152919.6075126117200031169155.05%133700110.7804000427
5Jonathan HuberdeauKingsLW82262955242109795301872138.64%13141517.261081854201000003140.21%9700000.7814001724
6Seth JonesKingsD829465524702012896126431097.14%135209125.51471159240011222912 0.00%000110.5300202013
7P.K. SubbanKingsD67829371958101458610539827.62%91156623.37571250193000112101 0.00%000000.4700100232
8Neal PionkKingsD7862935187151998510239745.88%116161220.67291153191011019410 0.00%000100.4300003213
9Jaden SchwartzKingsLW83112334-2216062110181551266.08%5125215.101111226159000010133.95%102500000.5424000223
10Yanni GourdeKingsC/LW/RW82151833-76065146174481158.62%24118914.50044445101112723042.96%166200000.5600000222
11Brock BoeserKingsRW70151631-9402975179571398.38%2114516.36281040173000003028.57%10500100.5402000310
12Nate SchmidtKingsD8242630-824041889142714.40%106165820.23381146197000113301 0.00%000000.3600000002
13Travis HamonicKingsD8372128-19695128869624697.29%125174120.98381132141000021301 0.00%000000.3200100120
14Adam PelechKingsD82613191740162426218289.68%92127815.5900039000112130 0.00%000000.3000000122
15Christian WolaninKingsD634131718030292472516.67%3788914.1113433500005000 0.00%000000.3800000101
16Miles WoodKingsLW/RW817613-133951026410426746.73%983710.330000000031330027.54%6900000.3100001111
17Zack KassianKingsRW787512-11340133458721718.05%993712.010000000012501128.57%6300000.2600000011
18Riley NashKingsC/RW59156-1601331299323.45%64337.34000000000200036.50%26300000.2801000000
19Carter VerhaegheKingsC43314-760112528101910.71%43327.73000000001161147.68%36700000.2400000003
20Calle RosenKingsD50134-43410281473414.29%273456.900001400001410 0.00%000000.2300002000
21Jordan GreenwayKingsLW/RW66022-1402412305200.00%45067.67000020000290038.10%2100000.0800000000
22Frederik GauthierReign (LAK)C29101-440112473614.29%21665.75000000000170051.48%16900000.1200000000
23Mason AppletonReign (LAK)C/RW8000000001000.00%0131.640000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne15892454346793275210018611687297384121118.24%8732578816.23541061605852462123292002401445.45%759800630.5313365310464143
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
1Devan DubnykKings65372250.9132.6138238216619160310.704276418422
2Malcolm SubbanKings198800.9063.06101920525520101.00021654210
3Antoine BibeauReign (LAK)20110.9053.39124007740100.667329001
Stats d'équipe Total ou en Moyenne86453160.9112.72496710222525420510.719328281633


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam PelechKingsD251994-08-16No217 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$NoLien
Alex OvechkinKingsLW341985-09-17No235 Lbs6 ft3NoNoNo4Pro & Farm12,500,000$12,500,000$0$No12,500,000$12,500,000$12,500,000$Lien
Brock BoeserKingsRW231997-02-24No191 Lbs6 ft1NoNoNo2Pro & Farm1,491,667$1,491,667$0$No1,491,667$Lien
Calle RosenKingsD261994-02-02No176 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$1,775,000$0$No1,775,000$Lien
Carter VerhaegheKingsC241995-08-14Yes181 Lbs6 ft1NoNoNo3Pro & Farm894,167$894,167$0$No894,167$894,167$Lien
Christian WolaninKingsD251995-03-17Yes185 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$No925,000$925,000$Lien
Devan DubnykKingsG331986-05-03No218 Lbs6 ft6NoNoNo1Pro & Farm6,250,000$6,250,000$0$NoLien
Elias LindholmKingsC/RW251994-12-02No192 Lbs6 ft1NoNoNo4Pro & Farm4,850,000$4,850,000$0$No4,850,000$4,850,000$4,850,000$Lien
Jaden SchwartzKingsLW271992-06-25No190 Lbs5 ft10NoNoNo2Pro & Farm5,600,000$5,600,000$0$No5,600,000$Lien
Jonathan HuberdeauKingsLW261993-06-04No188 Lbs6 ft1NoNoNo4Pro & Farm6,000,000$6,000,000$0$No6,000,000$6,000,000$6,000,000$Lien
Jordan GreenwayKingsLW/RW231997-02-16Yes226 Lbs6 ft6NoNoNo3Pro & Farm1,255,000$1,255,000$0$No1,255,000$1,255,000$Lien
Malcolm SubbanKingsG261993-12-21No200 Lbs6 ft2NoNoNo2Pro & Farm1,400,000$1,400,000$0$No1,400,000$Lien
Miles WoodKingsLW/RW241995-09-13No195 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$NoLien
Mitch MarnerKingsRW221997-05-05No175 Lbs6 ft0NoNoNo1Pro & Farm1,744,167$1,744,167$0$NoLien
Nate SchmidtKingsD281991-07-16No194 Lbs6 ft1NoNoNo5Pro & Farm5,625,000$5,625,000$0$No5,625,000$5,625,000$5,625,000$5,625,000$Lien
Nathan MacKinnonKingsC241995-08-31No205 Lbs6 ft0NoNoNo1Pro & Farm6,000,000$6,000,000$0$NoLien
Neal PionkKingsD241995-07-29No190 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$1,775,000$0$No1,775,000$Lien
P.K. SubbanKingsD301989-05-12No210 Lbs6 ft0YesNoNo6Pro & Farm9,500,000$9,500,000$0$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$Lien
Riley NashKingsC/RW301989-05-09No190 Lbs6 ft1YesNoNo1Pro & Farm700,000$700,000$0$NoLien
Seth JonesKingsD251994-10-02No210 Lbs6 ft4NoNoNo1Pro & Farm5,400,000$5,400,000$0$NoLien
Travis HamonicKingsD291990-08-16No205 Lbs6 ft2NoNoNo3Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$Lien
Yanni GourdeKingsC/LW/RW281991-12-15No172 Lbs5 ft9NoNoNo5Pro & Farm4,750,000$4,750,000$0$No4,750,000$4,750,000$4,750,000$4,750,000$Lien
Zack KassianKingsRW291991-01-24No209 Lbs6 ft3NoNoNo1Pro & Farm1,950,000$1,950,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2326.52198 Lbs6 ft22.523,771,087$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
86,735,001$62,840,834$50,799,167$43,225,000$19,875,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinElias LindholmMitch Marner35014
2Jonathan HuberdeauNathan MacKinnonBrock Boeser35014
3Jaden SchwartzYanni GourdeZack Kassian20032
4Miles WoodCarter VerhaegheRiley Nash10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanSeth Jones40032
2Travis HamonicNate Schmidt30041
3Neal PionkAdam Pelech25041
4P.K. SubbanSeth Jones5032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex OvechkinNathan MacKinnonMitch Marner60005
2Jonathan HuberdeauElias LindholmBrock Boeser40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanSeth Jones60023
2Neal PionkNate Schmidt40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Yanni GourdeZack Kassian60050
2Elias LindholmMiles Wood40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis HamonicSeth Jones60050
2Neal PionkNate Schmidt40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Yanni Gourde60050Travis HamonicSeth Jones60050
2Elias Lindholm40050P.K. SubbanNeal Pionk40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nathan MacKinnonMitch Marner55014
2Elias LindholmAlex Ovechkin45014
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1P.K. SubbanSeth Jones60032
2Travis HamonicNate Schmidt40032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex OvechkinNathan MacKinnonMitch MarnerP.K. SubbanSeth Jones
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yanni GourdeElias LindholmMitch MarnerTravis HamonicSeth Jones
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jaden Schwartz, Zack Kassian, Miles WoodJaden Schwartz, Zack KassianMiles Wood
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Schmidt, Adam Pelech, Travis HamonicNate SchmidtAdam Pelech, Travis Hamonic
Tirs de Pénalité
Nathan MacKinnon, Alex Ovechkin, Jonathan Huberdeau, Mitch Marner, Brock Boeser
Gardien
#1 : Devan Dubnyk, #2 : Malcolm Subban


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
LigueDomicileVisiteur
# 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
1Avalanche3110000179-2210000017611010000003-330.500711180033101093641287874219708225.00%50100.00%01487308348.23%1297284445.60%607127447.65%765369213819
2Blackhawks32100000981110000004132110000057-240.667914230043201014521350953422668112.50%10280.00%01487308348.23%1297284445.60%607127447.65%684773213819
3Blue Jackets2010000136-31000000134-11010000002-210.250358001111763627126751811405240.00%30100.00%01487308348.23%1297284445.60%607127447.65%523847122512
4Blues32100000981110000004222110000056-140.667918270034201244043410741826638225.00%8275.00%01487308348.23%1297284445.60%607127447.65%815961203719
5Bruins21000010633100000103211100000031241.000661200113270222027566268456116.67%40100.00%01487308348.23%1297284445.60%607127447.65%503547162613
6Canadiens2110000056-11010000005-51100000051420.5005813001220641629190631312445120.00%6266.67%01487308348.23%1297284445.60%607127447.65%483445142513
7Canucks4120100014131210010009452020000059-440.500142640103281119393642212038371076350.00%8275.00%01487308348.23%1297284445.60%607127447.65%996991275126
8Capitals2110000056-1110000003211010000024-220.500581300230070242224058222028600.00%9366.67%01487308348.23%1297284445.60%607127447.65%483449142210
9Coyotes41300000912-3211000006602020000036-320.25091322004230138414354012931369010330.00%18572.22%01487308348.23%1297284445.60%607127447.65%966793294924
10Devils211000008711010000045-11100000042220.50081523002330691622310621717469222.22%6266.67%01487308348.23%1297284445.60%607127447.65%473247152512
11Ducks52100020141042010001056-13200001094580.800142135015434151544848817846338413215.38%140100.00%01487308348.23%1297284445.60%607127447.65%11681130376329
12Flames40300001310-72010000136-32020000004-410.12534700210012038532661413639791317.69%17382.35%01487308348.23%1297284445.60%607127447.65%9261100305125
13Flyers211000001394110000008261010000057-220.500132235006250962441310662214457114.29%7185.71%01487308348.23%1297284445.60%607127447.65%513742132513
14Golden Knights41201000141402010100089-12110000065140.500142438005621142534147113336458714642.86%14657.14%01487308348.23%1297284445.60%607127447.65%1027190284924
15Hurricanes22000000853110000005321100000032141.00081321006020671724260653014449222.22%7185.71%01487308348.23%1297284445.60%607127447.65%513542142513
16Islanders21100000660110000003211010000034-120.50061016001230631123290641816486350.00%80100.00%01487308348.23%1297284445.60%607127447.65%473246142513
17Jets31101000990100010003212110000067-140.667916250033219827363237925265811218.18%12375.00%01487308348.23%1297284445.60%607127447.65%735271203517
18Lightning22000000963110000005411100000042241.000918270043208625372404617104811218.18%5180.00%01487308348.23%1297284445.60%607127447.65%563837142614
19Maple Leafs22000000844110000003031100000054141.00081321015120692630130441627348225.00%5180.00%01487308348.23%1297284445.60%607127447.65%503445142412
20Oilers41300000913-42110000078-12020000025-320.2509152400423012534444701353126891119.09%13376.92%01487308348.23%1297284445.60%607127447.65%906195285325
21Panthers21000001651110000005321000000112-130.75061117002130742323256632018394250.00%9277.78%01487308348.23%1297284445.60%607127447.65%493548142613
22Penguins22000000835110000004221100000041341.00081422005210692220270531919477114.29%50100.00%01487308348.23%1297284445.60%607127447.65%493546122412
23Predators31100010871211000004401000001043140.667812200023221032940288883214491218.33%7357.14%01487308348.23%1297284445.60%607127447.65%836063213820
24Rangers22000000624110000004221100000020241.0006111701114064202024059193533400.00%110100.00%01487308348.23%1297284445.60%607127447.65%463050152311
25Red Wings22000000752110000004311100000032141.0007142100322081233325049191040800.00%4175.00%01487308348.23%1297284445.60%607127447.65%564137122513
26Sabres201000105501010000012-11000001043120.5005813001212773326182542210379111.11%5260.00%01487308348.23%1297284445.60%607127447.65%503448152612
27Senators22000000844110000006331100000021141.00081321001250641320310592420373133.33%9188.89%01487308348.23%1297284445.60%607127447.65%483347132412
28Sharks40200101915-62010000169-32010010036-320.250914230012601211442599142495611311327.27%21290.48%01487308348.23%1297284445.60%607127447.65%8860107284923
29Stars31200000613-72110000058-31010000015-420.333610160023101154134400962530741000.00%13469.23%11487308348.23%1297284445.60%607127447.65%775465213618
Total8237310315524123110412012030241371221541171900131104109-5960.5852414066471386697814283388297494663254378671817692555019.61%2755580.00%11487308348.23%1297284445.60%607127447.65%2026141919125861035518
31Wild3210000010822110000057-21100000051440.667101929003340108403533010021488513215.38%12375.00%01487308348.23%1297284445.60%607127447.65%745367213819
_Since Last GM Reset8237310315524123110412012030241371221541171900131104109-5960.5852414066471386697814283388297494663254378671817692555019.61%2755580.00%11487308348.23%1297284445.60%607127447.65%2026141919125861035518
_Vs Conference50162403133130149-192599030137678-225715001205471-17480.480130217347114441399167453155756044159746445711141482919.59%1723877.91%11487308348.23%1297284445.60%607127447.65%12218551181357631313
_Vs Division29616021227287-151436020124448-415310001102839-11230.3977211718911241925691627330732326978267272649781924.36%1052180.00%01487308348.23%1297284445.60%607127447.65%685473710209367179

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8296L124140664728332543786718176913
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8237313155241231
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120123024137122
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4117190131104109
Derniers 10 Matchs
WLOTWOTL SOWSOL
340021
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2555019.61%2755580.00%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
8829749466386697814
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
1487308348.23%1297284445.60%607127447.65%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2026141919125861035518


Derniers Match 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
4 - 2019-10-0723Kings1Oilers3LSommaire du Match
7 - 2019-10-1036Kings0Flames3LSommaire du Match
8 - 2019-10-1146Kings4Canucks6LSommaire du Match
11 - 2019-10-1467Predators3Kings0LSommaire du Match
12 - 2019-10-1575Golden Knights3Kings4WXSommaire du Match
14 - 2019-10-1786Hurricanes3Kings5WSommaire du Match
16 - 2019-10-19101Sabres2Kings1LSommaire du Match
18 - 2019-10-21115Flames4Kings2LSommaire du Match
21 - 2019-10-24142Kings1Jets3LSommaire du Match
23 - 2019-10-26154Kings5Blues4WSommaire du Match
25 - 2019-10-28165Kings5Wild1WR3Sommaire du Match
26 - 2019-10-29170Kings1Blackhawks4LSommaire du Match
29 - 2019-11-01191Canucks2Kings3WXSommaire du Match
32 - 2019-11-04211Blackhawks1Kings4WSommaire du Match
35 - 2019-11-07232Kings5Maple Leafs4WSommaire du Match
37 - 2019-11-09244Kings2Senators1WSommaire du Match
39 - 2019-11-11255Kings5Canadiens1WSommaire du Match
42 - 2019-11-14274Wild4Kings0LR3Sommaire du Match
44 - 2019-11-16290Red Wings3Kings4WSommaire du Match
46 - 2019-11-18304Golden Knights6Kings4LSommaire du Match
48 - 2019-11-20316Kings2Coyotes4LSommaire du Match
51 - 2019-11-23340Oilers5Kings3LSommaire du Match
53 - 2019-11-25352Coyotes3Kings4WSommaire du Match
55 - 2019-11-27368Sharks6Kings4LR3Sommaire du Match
57 - 2019-11-29382Islanders2Kings3WSommaire du Match
59 - 2019-12-01400Kings0Sharks2LR3Sommaire du Match
60 - 2019-12-02409Jets2Kings3WXSommaire du Match
62 - 2019-12-04419Kings1Ducks0WXXSommaire du Match
64 - 2019-12-06435Capitals2Kings3WSommaire du Match
66 - 2019-12-08448Kings1Oilers2LSommaire du Match
67 - 2019-12-09454Kings0Flames1LSommaire du Match
70 - 2019-12-12477Rangers2Kings4WSommaire du Match
72 - 2019-12-14487Kings4Ducks2WSommaire du Match
74 - 2019-12-16511Kings4Penguins1WSommaire du Match
75 - 2019-12-17516Kings3Red Wings2WSommaire du Match
77 - 2019-12-19524Kings3Bruins1WSommaire du Match
79 - 2019-12-21540Kings0Blue Jackets2LSommaire du Match
81 - 2019-12-23553Kings4Sabres3WXXSommaire du Match
83 - 2019-12-25571Blues2Kings4WSommaire du Match
87 - 2019-12-29590Kings3Sharks4LXR3Sommaire du Match
88 - 2019-12-30600Kings1Canucks3LSommaire du Match
91 - 2020-01-02621Flyers2Kings8WSommaire du Match
95 - 2020-01-06645Predators1Kings4WSommaire du Match
97 - 2020-01-08659Blue Jackets4Kings3LXXSommaire du Match
99 - 2020-01-10675Stars2Kings5WSommaire du Match
100 - 2020-01-11688Kings4Golden Knights2WSommaire du Match
102 - 2020-01-13693Kings3Hurricanes2WSommaire du Match
105 - 2020-01-16722Kings4Lightning2WSommaire du Match
107 - 2020-01-18731Kings1Panthers2LXXSommaire du Match
109 - 2020-01-20752Kings5Flyers7LSommaire du Match
120 - 2020-01-31779Lightning4Kings5WSommaire du Match
121 - 2020-02-01782Kings1Coyotes2LSommaire du Match
123 - 2020-02-03796Ducks3Kings1LSommaire du Match
126 - 2020-02-06824Kings2Capitals4LSommaire du Match
128 - 2020-02-08834Kings3Islanders4LSommaire du Match
130 - 2020-02-10848Kings4Devils2WSommaire du Match
131 - 2020-02-11858Kings2Rangers0WSommaire du Match
134 - 2020-02-14878Flames2Kings1LXXSommaire du Match
137 - 2020-02-17898Kings0Avalanche3LSommaire du Match
140 - 2020-02-20926Kings5Jets4WSommaire du Match
142 - 2020-02-22934Panthers3Kings5WSommaire du Match
144 - 2020-02-24949Avalanche3Kings2LXXSommaire du Match
145 - 2020-02-25963Oilers3Kings4WSommaire du Match
148 - 2020-02-28982Penguins2Kings4WSommaire du Match
151 - 2020-03-021002Devils5Kings4LSommaire du Match
152 - 2020-03-031016Kings2Golden Knights3LSommaire du Match
156 - 2020-03-071036Maple Leafs0Kings3WSommaire du Match
158 - 2020-03-091053Wild3Kings5WR3Sommaire du Match
160 - 2020-03-111068Avalanche3Kings5WSommaire du Match
162 - 2020-03-131082Senators3Kings6WSommaire du Match
165 - 2020-03-161105Ducks3Kings4WXXSommaire du Match
168 - 2020-03-191125Canadiens5Kings0LSommaire du Match
170 - 2020-03-211141Bruins2Kings3WXXSommaire du Match
172 - 2020-03-231158Canucks2Kings6WSommaire du Match
173 - 2020-03-241167Coyotes3Kings2LSommaire du Match
175 - 2020-03-261177Kings1Stars5LSommaire du Match
177 - 2020-03-281196Kings4Predators3WXXSommaire du Match
178 - 2020-03-291201Kings0Blues2LSommaire du Match
180 - 2020-03-311216Kings4Blackhawks3WSommaire du Match
182 - 2020-04-021233Sharks3Kings2LXXR3Sommaire du Match
185 - 2020-04-051255Kings4Ducks2WSommaire du Match
186 - 2020-04-061264Stars6Kings0LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000400030001000
Prix des Billets225165135115300
Assistance152,266125,99795,99062,93928,986
Attendance PCT61.90%61.46%58.53%51.17%70.70%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 11370 - 59.84% 2,047,361$83,941,790$19000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
84,134,144$ 86,735,001$ 86,735,001$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
466,317$ 80,634,146$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 485,134$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 80,634,146$ 43,277,231$ 43,277,231$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alex OvechkinAGE:34PO:88OV:80
Jonathan HuberdeauAGE:26PO:84OV:77
Yanni GourdeAGE:28PO:77OV:70
Jaden SchwartzAGE:27PO:73OV:70
Miles WoodAGE:24PO:71OV:67
*Jordan GreenwayAGE:23PO:68OV:63
Nathan MacKinnonAGE:24PO:87OV:80
Elias LindholmAGE:25PO:85OV:78
Yanni GourdeAGE:28PO:77OV:70
*Carter VerhaegheAGE:24PO:69OV:65
Riley NashAGE:30PO:65OV:65
Frederik GauthierAGE:24PO:65OV:64
Mason AppletonAGE:24PO:64OV:61
Elias LindholmAGE:25PO:85OV:78
Mitch MarnerAGE:22PO:83OV:76
Brock BoeserAGE:23PO:79OV:73
Yanni GourdeAGE:28PO:77OV:70
Zack KassianAGE:29PO:72OV:69
Miles WoodAGE:24PO:71OV:67
Riley NashAGE:30PO:65OV:65
*Jordan GreenwayAGE:23PO:68OV:63
Mason AppletonAGE:24PO:64OV:61

Défense #1Défense #2Gardien
Seth JonesAGE:25PO:72OV:76
P.K. SubbanAGE:30PO:70OV:76
Nate SchmidtAGE:28PO:71OV:72
Neal PionkAGE:24PO:68OV:72
Travis HamonicAGE:29PO:66OV:72
Adam PelechAGE:25PO:65OV:69
*Christian WolaninAGE:25PO:65OV:65
Calle RosenAGE:26PO:60OV:62
Andreas BorgmanAGE:24PO:55OV:61
Devan DubnykAGE:33PO:81OV:79
Malcolm SubbanAGE:26PO:64OV:62
*Antoine BibeauAGE:25PO:56OV:58
Richard BachmanAGE:32PO:49OV:51

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam ComrieKings
Adam GilmourKings201292
Adam JanosikKings2010101
Alexis PepinKings201488
Aliaksei ProtasKings201976
Antoine BibeauKings2013126
Arvid HolmKings2017170
Benjamin MarshallKings2010143
Bryce BrodzinskiKings2019179
Colten EllisKings201989
Connor McMichaelKings201927
Daniel CatenacciKings201168
Eemeli RasanenKings201759
Evan SmithKings2015198
Fabrice HerzogKings2013122
Fedor GordeevKings2017163
Gabriel BeaupreKings2011158
J.C. LiponKings201393
Jack GorniakKings2018148
Jackson LaCombeKings201954
Jake KupskyKings2015205
John NybergKings2014164
John PerssonKings2011144
Joonas LehtivuoriKings
Jordan HollettKings2017167
Josiah SlavinKings2018201
Kenny RyanKings200958
Marc McNultyKings2013138
Mason PrimeauKings2019114
Mikhail MaltsevKings2016112
Nicolas RoyKings201591
Nikolai ChebykinKings2016159
Noah CarrollKings2016196
Nolan VeseyKings2014146
Peter CeresnakKings2011184
Philip TomasinoKings201922
Pierre EngvallKings2014151
Ryan KujawinskiKings201366
Ryan ManthaKings2014115
Ryan O'ConnellKings2017173
Timothy LiljegrenKings20178
Tobias BjornfotKings201923
Tyler BiggsKings201123
Tyler BirdKings2014121

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020LAK LAK SJS BOS VGK LAK LAK LAK
2021LAK LAK LAK LAK FLA LAK LAK
2022LAK LAK LAK LAK LAK LAK LAK
2023LAK LAK LAK LAK LAK LAK LAK
2024LAK LAK LAK LAK LAK LAK LAK



[2020-03-15 12:44:29 PM] - TRADE : From Senators to Kings : Jaden Schwartz (70).
[2020-03-15 12:44:29 PM] - TRADE : From Kings to Senators : Alex Galchenyuk (71), Dmytro Timashov (P), Simon Lundmark (P), Y:2020-RND:3-LAK.
[2020-02-26 4:47:16 PM] - Antoine Bibeau was added to Kings.
[2020-02-21 4:38:25 PM] - TRADE : From Kings to Golden Knights : Y:2020-RND:1-LAK, Y:2021-RND:2-LAK.
[2020-02-21 4:38:25 PM] - TRADE : From Golden Knights to Kings : Travis Hamonic (72), Y:2020-RND:4-VGK.
[2020-01-25 7:23:13 PM] - New Record for Team's Most Shots Blocked (24) in 1 Game for Kings!
[2019-12-11 5:06:03 PM] - Carter Verhaeghe has been deleted from Kings.
[2019-12-11 5:04:35 PM] - Carter Verhaeghe was added to Kings.
[2019-10-20 6:46:17 PM] - TRADE : From Hurricanes to Kings : $1,000,000 (Money).
[2019-10-20 6:46:17 PM] - TRADE : From Kings to Hurricanes : Tucker Poolman (60).
[2019-10-16 4:36:56 PM] - Team Name Change : Los Angeles Kings changed name to Kings
[2019-10-10 3:58:04 PM] - TRADE : From Florida Panthers to Los Angeles Kings : Y:2021-RND:5-FLA.
[2019-10-10 3:58:04 PM] - TRADE : From Los Angeles Kings to Florida Panthers : Xavier Ouellet (64).
[2019-10-05 7:05:58 PM] - Reign hired Spencer Carbery for $700,000 for 3 year(s).
[2019-09-21 8:25:06 PM] - Riley Nash signed with Los Angeles Kings for $700,000 for 1 year(s) / Option : No Trade.
[2019-09-21 8:25:06 PM] - Riley Nash was added to Los Angeles Kings.



[2020-04-20 4:07:38 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-20 4:06:36 PM] Successfully loaded Kings lines done with STHS Client - 3.2.0.5
[2020-04-19 6:36:10 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-19 6:36:03 PM] Successfully loaded Kings lines done with STHS Client - 3.2.0.5
[2020-04-18 7:20:58 PM] Neal Pionk from Kings is back from Sprained Left Ankle Injury.
[2020-04-17 3:28:22 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-15 6:38:35 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-14 7:00:03 PM] Successfully loaded Kings lines done with STHS Client - 3.2.0.5
[2020-04-13 6:19:33 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-13 6:19:20 PM] Successfully loaded Kings lines done with STHS Client - 3.2.0.5
[2020-04-12 8:02:36 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-12 8:02:35 PM] Game 1196 - Neal Pionk from Kings is injured (Sprained Left Ankle) and is out for 1 week.
[2020-04-10 6:07:39 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-09 6:10:28 PM] Successfully loaded Kings lines done with STHS Client - 3.2.0.5
[2020-04-08 6:31:49 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-08 6:31:07 PM] Successfully loaded Kings lines done with STHS Client - 3.2.0.5
[2020-04-07 6:33:44 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-07 6:33:43 PM] Nathan MacKinnon from Kings has scored a Hat Trick!
[2020-04-05 4:38:53 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-03 6:21:37 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-03-31 3:33:37 PM] Reign lines for next game are empty. Current rosters/lines are not erased. But, Kings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.



Pas de Blessure ou de Suspension.



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LigueDomicileVisiteur
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
20198237310315524123110412012030241371221541171900131104109-5962414066471386697814283388297494663254378671817692555019.61%2755580.00%11487308348.23%1297284445.60%607127447.65%2026141919125861035518
Total Saison Régulière8237310315524123110412012030241371221541171900131104109-5962414066471386697814283388297494663254378671817692555019.61%2755580.00%11487308348.23%1297284445.60%607127447.65%2026141919125861035518