Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
Jets
29-40-5, 63pts
1
FINAL
7 Kings
42-24-7, 91pts
Team Stats
L1StreakL1
15-19-3Home Record19-14-4
14-21-2Away Record23-10-3
2-7-1Last 10 Games4-6-0
3.38Goals Per Game4.11
4.04Goals Against Per Game3.33
19.05%Power Play Percentage28.83%
77.36%Penalty Kill Percentage80.40%
Sharks
23-45-6, 52pts
5
FINAL
3 Kings
42-24-7, 91pts
Team Stats
W1StreakL1
10-23-3Home Record19-14-4
13-22-3Away Record23-10-3
4-6-0Last 10 Games4-6-0
2.93Goals Per Game4.11
4.27Goals Against Per Game3.33
18.08%Power Play Percentage28.83%
78.37%Penalty Kill Percentage80.40%
Ducks
33-38-4, 70pts
Day 163
Kings
42-24-7, 91pts
Team Stats
SOL1StreakL1
19-18-1Home Record19-14-4
14-20-3Away Record23-10-3
4-5-1Last 10 Games4-6-0
3.24Goals Per Game4.11
3.60Goals Against Per Game3.33
15.94%Power Play Percentage28.83%
78.36%Penalty Kill Percentage80.40%
Kings
42-24-7, 91pts
Day 165
Flames
18-55-1, 37pts
Team Stats
L1StreakL2
19-14-4Home Record13-24-0
23-10-3Away Record5-31-1
4-6-0Last 10 Games3-7-0
4.11Goals Per Game2.50
3.33Goals Against Per Game4.65
28.83%Power Play Percentage16.49%
80.40%Penalty Kill Percentage75.82%
Kings
42-24-7, 91pts
Day 166
Oilers
49-20-5, 103pts
Team Stats
L1StreakOTL1
19-14-4Home Record24-8-4
23-10-3Away Record25-12-1
4-6-0Last 10 Games4-4-2
4.11Goals Per Game3.66
3.33Goals Against Per Game2.78
28.83%Power Play Percentage21.69%
80.40%Penalty Kill Percentage85.05%
Team Leaders
Nathan MacKinnonGoals
Nathan MacKinnon
55
Nathan MacKinnonAssists
Nathan MacKinnon
86
Nathan MacKinnonPoints
Nathan MacKinnon
141
Nathan MacKinnonPlus/Minus
Nathan MacKinnon
39
Karel VejmelkaWins
Karel Vejmelka
24
Karel VejmelkaSave Percentage
Karel Vejmelka
0.893

Team Stats
Goals For
300
4.11 GFG
Shots For
2344
32.11 Avg
Power Play Percentage
28.8%
111 GF
Offensive Zone Start
42.8%
Goals Against
243
3.33 GAA
Shots Against
2126
29.12 Avg
Penalty Kill Percentage
80.4%
59 GA
Defensive Zone Start
37.3%
Injury / Suspension
No Injury or Suspension.
Team Info
General ManagerSteve St-Amand
CoachPatrick Roy
DivisionPacific
ConferenceWestern
CaptainNathan MacKinnon
Assistant #1Roman Josi
Assistant #2Jonathan Toews
Uniforms
Arena Info
NameThe Sundown Center
Capacity25,000
Attendance21,277
Season Tickets10,000
Roster Info
Pro Team21
Farm Team29
Contract Limit50 / 50
Prospects37
Salary Cap
Estimated Season Salary Cap72,672,031$
Available Salary Cap12,327,969$
Special Salary Cap Value0$
Players In Salary Cap21
Finance
Year to Date Revenue66,129,160$
Year To Date Expenses68,201,003$
Estimated Season Revenue7,149,098$
Estimated Season Expenses6,470,960$
Current Bank Account74,408,962$
Projected Bank Account74,857,248$
Team History
This Season42-24-7 (91PTS)
History1022-495-124 (0.623%)
Playoff Appearances17
Playoff Record (W-L)112-85
Stanley Cup4


Filter Tips
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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Nathan MacKinnon (C)X100.0056488099619299998199997873828745638502941$
2Filip ForsbergX100.0080538096668699924086987573848540608203016,500,000$
3John TavaresX100.0079528388698498789477806665928820647603439,500,000$
4Jake EvansX100.0065468480578299598761578340808150616802842,000,000$
5Alex IafalloX100.0052498980628099594056617957868335636703152,000,000$
6Ryan McLeodX100.0059488879617998608658627940747765636702512,000,000$
7Jonathan Toews (A)X100.0044557484666050699865736987967810636703623,000,000$
8Brendan GallagherX100.005944718447779662405667655888833044660325850,000$
9Michael CarconeX100.005840818440749461404973654080775063650282850,000$
10Taylor RaddyshX100.0067518475668193534050567840767960436402632,000,000$
11Victor OlofssonX99.0050438881507478574053616370827845246202925,000,000$
12Trey Fix-WolanskyX100.0063418680477351564047657040747465636102511,210,000$
13Roman Josi (A)X100.0053527996649199934099858070929220658203448,500,000$
14Michael MathesonX100.0057497689639299794091678373848840637803014,000,000$
15Noah HanifinX100.0058538484718998724075709173788455637702714,500,000$
16Cam YorkX100.006247798358879963406065844070797563730231925,000$
17Jacob MiddletonX100.0083747177778298604058617740808150367202813,000,000$
18Torey KrugX100.0059448286528696674077567358908825637203327,000,000$
Scratches
1Kole LindX100.0058447183567868644070507073767760446502621,000,000$
Farm Team
1Tye KartyeX100.009950807960749656825062694070727539650231750,000$
2Mark KastelicX100.008781707582678652894757674074716539620251910,000$
3Jesse PuljujarviX100.008353857570705852404461684076736039610265850,000$
4Matthew PhillipsX100.004638908140726452405153674076746039580261910,000$
5Marco Kasper (R)X100.004943828755807045704446694064729025580203925,000$
6Colton Dach (R)X100.006359748266605048404749664066638539570213925,000$
7Henrik RybinskiX100.006253827558615138403738704070667539530232925,000$
8Xavier BourgaultX100.005347817554645440403842654068668052530222925,000$
9Johnathan KovacevicX100.0068667675837785564049627740787855516902741,500,000$
10Santeri HatakkaX100.006747837659745152405450794070727539640231925,000$
11Olen Zellweger (R)X100.005341878446826161406259694066748539640213925,000$
12Mitchell VandeSompelX100.006057877552555038403243654078675550570272600,000$
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$
TEAM AVERAGE99.98625180816074745549535768507675604263
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Filip Gustavsson100.008785888674737373727391767560727602614,250,000$
2Karel Vejmelka100.007876769968666963736393807350687202831,500,000$
Scratches
Farm Team
1Devon Levi (R)100.00815860847270656767677570707558680232750,000$
2Dustin Wolf100.00855160786165676463644070687558650231925,000$
3Nico Daws100.00795660946464656463648772687020660241825,000$
4Dennis Hildeby (R)100.00767075996261616062605070667520660232750,000$
5Trent Miner (R)100.00875060886364616162615070677520650232750,000$
6Gage Alexander (R)100.00755060975050505050504068598020570222925,000$
TEAM AVERAGE100.0081626791646464636463667268704267
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Patrick Roy94827898898652CAN5912,000,000$


Filter Tips
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
# Player Name Team NamePOSGP 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 MacKinnonKingsC73558614139200422003788624914.55%20149120.43143852943130000115252.22%200300011.891500013115
2Filip ForsbergKingsLW7351731243794102191253488929014.66%11142519.5314304485308000005337.38%10700041.74250109128
3Roman JosiKingsD733868106103810891032326714016.38%82173223.742629551553071232238320.00%000121.2200002755
4Michael MathesonKingsD73166177158091981404510811.43%72170123.31142135993180001224220.00%000000.9100000123
5Noah HanifinKingsD7324456912495117931524711715.79%103163022.34161733872570003225110.00%000210.8500001233
6John TavaresKingsC73293867-219151771512757220310.55%8135018.5010203076269000008160.60%170800000.9914010323
7Torey KrugKingsD7374754-78029588736568.05%82132018.096192561263000168100.00%000000.8200000012
8Kole LindKingsLW6142125-2322041638424574.76%5113218.5601111122230000360035.29%10200000.4400000002
9Cam YorkKingsD73515201600123536019348.33%111141119.330003220004223100.00%000000.2800000202
10Jake EvansKingsC7381119-8535841229421698.51%2399013.5600011300022271152.31%112600000.3800000012
11Michael CarconeKingsLW7311718-5120471774233314.86%46659.12641039269000062045.45%4400000.5400000021
12Alex IafalloKingsLW7310717-13160195079246512.66%1697813.400000110142383034.72%7200000.3500000100
13Jacob MiddletonKingsD6621416-1013125160292812247.14%6190813.770000601118100.00%000000.3500131010
14Ryan McLeodKingsRW738614-18100281029729538.25%25128717.630000111282322050.58%43100000.2200000002
15Jonathan ToewsKingsC738513-460145449114116.33%24035.5301116000000056.86%45900000.6400000000
16Brendan GallagherKingsLW12235020851741911.76%121417.87033443000010018.18%1100000.4711000010
17Trey Fix-WolanskyKingsRW73134-52803219296203.45%13745.1300000000000032.26%3100000.2100000000
18Taylor RaddyshKingsRW42123-41553725199185.26%852212.440000001121170041.67%3600000.1100010000
19Johnathan KovacevicThunder (Lak)D70223100823450.00%29413.470000000000000.00%000000.4200000001
20Victor OlofssonKingsRW431121801520167196.25%362514.5500024400001050028.89%4500000.0601000000
Team Total or Average1253281515796-1473165138013892261635162012.43%6402026116.171061932997192670358281968351253.60%617500380.79516164384139
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Karel VejmelkaKings44241430.8933.1625280213312410120.50084231011
2Filip GustavssonKings34181040.8803.371888401068830500.909113142000
Team Total or Average78422470.8873.2544174223921240620.737197373011


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Alex IafalloKingsLW311993-12-21No201 Lbs6 ft0YesNoNo5Pro & Farm2,000,000$2,000,000$180,791$No2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Link / NHL Link
Brendan GallagherKingsLW321992-05-06No183 Lbs5 ft9YesNoNo5Pro & Farm850,000$850,000$76,836$No850,000$850,000$850,000$850,000$
UFA
Link / NHL Link
Cam YorkKingsD232001-01-05No194 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$83,616$No
RFA
Link / NHL Link
Filip ForsbergKingsLW301994-08-13No205 Lbs6 ft1NoNoYes1Pro Only6,500,000$6,500,000$587,571$No
UFA
Link / NHL Link
Filip GustavssonKingsG261998-06-07No185 Lbs6 ft2NoNoYes1Pro & Farm4,250,000$4,250,000$384,181$No
RFA
Link / NHL Link
Jacob MiddletonKingsD281996-01-02No219 Lbs6 ft3NoNoYes1Pro & Farm3,000,000$3,000,000$271,186$No
UFA
Link / NHL Link
Jake EvansKingsC281996-06-02No187 Lbs6 ft1NoNoNo4Pro & Farm2,000,000$2,000,000$180,791$No2,000,000$2,000,000$2,000,000$
UFA
Link / NHL Link
John TavaresKingsC341990-09-20No211 Lbs6 ft1NoNoYes3Pro Only9,500,000$9,500,000$858,757$No9,500,000$9,500,000$
UFA
Link / NHL Link
Jonathan ToewsKingsC361988-04-29No201 Lbs6 ft2NoNoYes2Pro & Farm3,000,000$3,000,000$271,186$No3,000,000$
UFA
Link / NHL Link
Karel VejmelkaKingsG281996-05-25No224 Lbs6 ft4NoNoNo3Pro & Farm1,500,000$1,500,000$135,593$No1,500,000$1,500,000$
UFA
Link / NHL Link
Kole LindKingsLW261998-10-16No186 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$1,000,000$90,395$No1,000,000$
UFA
Link / NHL Link
Michael CarconeKingsLW281996-05-19No170 Lbs5 ft9YesNoNo2Pro & Farm850,000$850,000$76,836$No850,000$
UFA
Link / NHL Link
Michael MathesonKingsD301994-02-27No196 Lbs6 ft2NoNoYes1Pro & Farm4,000,000$4,000,000$361,582$No
UFA
Link / NHL Link
Nathan MacKinnonKingsC291995-09-01No200 Lbs6 ft0YesNoYes4Pro Only1$1$0$No11,000,000$11,000,000$11,000,000$
UFA
Link / NHL Link
Noah HanifinKingsD271997-01-25No207 Lbs6 ft3NoNoYes1Pro & Farm4,500,000$4,500,000$406,780$No
UFA
Link / NHL Link
Roman JosiKingsD341990-06-01No201 Lbs6 ft1NoNoYes4Pro Only8,500,000$8,500,000$768,362$No8,500,000$8,500,000$8,500,000$
UFA
Link / NHL Link
Ryan McLeodKingsRW251999-09-21No188 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$180,791$No
RFA
Link / NHL Link
Taylor RaddyshKingsRW261998-02-18No198 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$2,000,000$180,791$No2,000,000$2,000,000$
UFA
Link / NHL Link
Torey KrugKingsD331991-04-12No194 Lbs5 ft9NoNoYes2Pro Only7,000,000$7,000,000$632,768$No7,000,000$
UFA
Link / NHL Link
Trey Fix-WolanskyKingsRW251999-05-26No191 Lbs5 ft7NoNoNo1Pro & Farm1,210,000$1,210,000$109,379$No
RFA
Link / NHL Link
Victor OlofssonKingsRW291995-07-18No182 Lbs5 ft11NoNoYes2Pro Only5,000,000$5,000,000$451,977$No5,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.95196 Lbs6 ft12.333,313,571$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
69,585,001$54,200,000$37,350,000$24,350,000$2,850,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergNathan MacKinnonVictor Olofsson35014
2Brendan GallagherJohn TavaresRyan McLeod35023
3Alex IafalloJake EvansTaylor Raddysh20032
4Michael CarconeJonathan ToewsTrey Fix-Wolansky10023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiNoah Hanifin35023
2Michael MathesonCam York35023
3Jacob MiddletonTorey Krug30023
4Roman JosiNoah Hanifin0023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergNathan MacKinnonVictor Olofsson60014
2Michael CarconeJohn TavaresBrendan Gallagher40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiMichael Matheson60014
2Noah HanifinTorey Krug40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake EvansAlex Iafallo50041
2Ryan McLeodTaylor Raddysh50041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiNoah Hanifin50041
2Michael MathesonCam York50041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Evans50050Roman JosiNoah Hanifin50050
2Ryan McLeod50050Michael MathesonCam York50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nathan MacKinnonFilip Forsberg60023
2John TavaresVictor Olofsson40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiNoah Hanifin60023
2Michael MathesonCam York40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergNathan MacKinnonVictor OlofssonRoman JosiNoah Hanifin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jake EvansNathan MacKinnonRyan McLeodRoman JosiNoah Hanifin
Extra Forwards
Normal PowerPlayPenalty Kill
Jake Evans, Jonathan Toews, Victor OlofssonJake Evans, Jonathan ToewsVictor Olofsson
Extra Defensemen
Normal PowerPlayPenalty Kill
Cam York, Torey Krug, Michael MathesonCam YorkTorey Krug, Michael Matheson
Penalty Shots
Nathan MacKinnon, Filip Forsberg, John Tavares, Victor Olofsson, Brendan Gallagher
Goalie
#1 : Karel Vejmelka, #2 : Filip Gustavsson


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Avalanche31100100121111010000023-121000100108230.500122234007230993322431803133739222.22%11190.91%11439265854.14%1243231953.60%649123652.51%835961193920
2Blackhawks211000008531010000013-21100000072520.500816240033206617173204514133410220.00%3166.67%01439265854.14%1243231953.60%649123652.51%564137132513
3BlueJacket211000001013-3110000008621010000027-520.5001018280043306022162208622262914642.86%12558.33%01439265854.14%1243231953.60%649123652.51%443152142211
4Blues302000011015-520200000610-41000000145-110.16710172700415092282735612140324418316.67%16475.00%01439265854.14%1243231953.60%649123652.51%745171233920
5Bruins210010001073100010004311100000064241.0001017270033315219161616620263812433.33%12375.00%01439265854.14%1243231953.60%649123652.51%483247152612
6Canadiens2110000067-11010000024-21100000043120.50061117002220552215180741918566116.67%80100.00%01439265854.14%1243231953.60%649123652.51%463149132411
7Canucks3110010012932010010079-21100000050530.5001219310164209738352317315235617317.65%9188.89%01439265854.14%1243231953.60%649123652.51%795662213920
8Capitals2200000015411110000006241100000092741.0001526410033907222183205018193815426.67%40100.00%11439265854.14%1243231953.60%649123652.51%564138132413
9Coyotes3300000016610220000009451100000072561.00016274300952010742283707516296414642.86%11372.73%01439265854.14%1243231953.60%649123652.51%846158203620
10Devils201000109901010000045-11000001054120.500915240023316411212975112184113323.08%9366.67%01439265854.14%1243231953.60%649123652.51%554044132413
11Ducks22000000743110000004221100000032141.000712190033104719131505414204110220.00%9188.89%01439265854.14%1243231953.60%649123652.51%483346142512
12Flames220000001239110000006331100000060641.000122234015340671829200561926435480.00%12283.33%01439265854.14%1243231953.60%649123652.51%553839152513
13Flyers201010009901010000056-11000100043120.500917260003516113212435312123512433.33%6183.33%01439265854.14%1243231953.60%649123652.51%533840132613
14GoldenKnights42101000191542100100011832110000087160.750193756109451132514433411947518620840.00%17288.24%11439265854.14%1243231953.60%649123652.51%986795294826
15Hurricanes2110000011741010000045-11100000072520.5001119300044309527323605313123013430.77%6433.33%01439265854.14%1243231953.60%649123652.51%513744142413
16Islanders22000000752110000004311100000032141.000712190050208029232804812103515426.67%5180.00%01439265854.14%1243231953.60%649123652.51%554141122312
17Jets321000001711622000000155101010000026-440.667173148005840115482938010443245517952.94%10370.00%01439265854.14%1243231953.60%649123652.51%805760203921
18Lightning21001000743110000005321000100021141.0007132000213162241521249920408337.50%10280.00%01439265854.14%1243231953.60%649123652.51%574137132512
19MapleLeafs2010010048-41010000003-31000010045-110.2504812001210481416180521219486233.33%7271.43%01439265854.14%1243231953.60%649123652.51%513547142513
20Oilers3110000158-3210000015501010000003-330.50058130050007229241846820394820315.00%11372.73%01439265854.14%1243231953.60%649123652.51%775267224020
21Panthers2110000078-11010000047-31100000031220.500713200033107029231805920104110440.00%40100.00%01439265854.14%1243231953.60%649123652.51%513542142513
22Penguins22000000853110000003211100000053241.000814220032306923212505212353515533.33%11281.82%01439265854.14%1243231953.60%649123652.51%503344152512
23Predators30300000610-41010000024-22020000046-200.000611170021308127213307834337122313.64%14471.43%01439265854.14%1243231953.60%649123652.51%704769233920
24Rangers210001009721000010045-11100000052330.750913220042307028202205411244711327.27%11281.82%01439265854.14%1243231953.60%649123652.51%533742152613
25RedWings2110000067-1110000004131010000026-420.500611170022205928191205716164016318.75%80100.00%01439265854.14%1243231953.60%649123652.51%483347142312
26Sabres2010001067-1100000104311010000024-220.5006814002211542111213641328396116.67%13192.31%01439265854.14%1243231953.60%649123652.51%473251152512
27Senators211000001174110000007251010000045-120.500112031002360711818350692820417342.86%8187.50%01439265854.14%1243231953.60%649123652.51%503543142512
28Sharks42100100151322010010069-32200000094550.625152843007710135435933011740419515213.33%18477.78%01439265854.14%1243231953.60%649123652.51%986791295125
29Stars310010101495100000105412100100095461.00014264000363511629473969622375021733.33%11281.82%01439265854.14%1243231953.60%649123652.51%815768213619
30Wild31200000121021010000023-121100000107320.3331219311035407621253001033941568337.50%15193.33%01439265854.14%1243231953.60%649123652.51%664577213616
Total733424055323002435737151402321149132173619100321115111140910.623300530830221139089112344793725806382126643755144938511128.83%3015980.40%31439265854.14%1243231953.60%649123652.51%187713151623527923477
_Since Last GM Reset733424055323002435737151402321149132173619100321115111140910.623300530830221139089112344793725806382126643755144938511128.83%3015980.40%31439265854.14%1243231953.60%649123652.51%187713151623527923477
_Vs Conference4119140231216512936218801211817292011601101845727490.59816529546022715239613024434204292211893944428162065727.67%1673280.84%21439265854.14%1243231953.60%649123652.51%1053737906297524272
_Vs Division21134012018658281262012014840897200000381820310.7388615323912442615165724023217995621712294331012827.72%871681.61%11439265854.14%1243231953.60%649123652.51%540378460153268139

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7391L130053083023442126643755144922
All Games
GPWLOTWOTL SOWSOLGFGA
7334245532300243
Home Games
GPWLOTWOTL SOWSOLGFGA
3715142321149132
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3619103211151111
Last 10 Games
WLOTWOTL SOWSOL
360010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
38511128.83%3015980.40%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
79372580638113908911
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1439265854.14%1243231953.60%649123652.51%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
187713151623527923477


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
316Sharks4Kings3BLXBoxScore
531RedWings1Kings4BWBoxScore
741Kings2Jets6ALBoxScore
950Kings4Canadiens3AWBoxScore
1067Kings4Senators5ALBoxScore
1277Kings4MapleLeafs5ALXBoxScore
1593Islanders3Kings4BWBoxScore
17106Sabres3Kings4BWXXBoxScore
20124Kings6Stars3AWBoxScore
22141Kings4Wild6ALBoxScore
25163Rangers5Kings4BLXBoxScore
29184Flyers6Kings5BLBoxScore
31198BlueJacket6Kings8BWBoxScore
34217Ducks2Kings4BWBoxScore
36231Wild3Kings2BLBoxScore
38248Flames3Kings6BWBoxScore
41267MapleLeafs3Kings0BLBoxScore
44287Kings7Blackhawks2AWBoxScore
45297Kings2Predators3ALBoxScore
47314Kings4Blues5ALXXBoxScore
49324Avalanche3Kings2BLBoxScore
51350Canucks4Kings3BLBoxScore
52359Oilers3Kings2BLXXBoxScore
54375Kings5Canucks0AWBoxScore
56384Kings0Oilers3ALBoxScore
57391Kings6Flames0AWBoxScore
59409Hurricanes5Kings4BLBoxScore
61420Coyotes3Kings4BWBoxScore
63432Devils5Kings4BLBoxScore
65451GoldenKnights2Kings4BWBoxScore
67461Kings2RedWings6ALBoxScore
68466Kings2Sabres4ALBoxScore
70480Kings2BlueJacket7ALBoxScore
72502Kings5Penguins3AWBoxScore
75522Jets4Kings8BWBoxScore
79555Kings4Sharks2AWBoxScore
80566Kings3GoldenKnights5ALBoxScore
81570Coyotes1Kings5BWBoxScore
83590GoldenKnights6Kings7BWXBoxScore
85604Kings7Avalanche4AWBoxScore
86614Kings5GoldenKnights2AWBoxScore
88623Lightning3Kings5BWBoxScore
90638Oilers2Kings3BWBoxScore
92655Kings5Sharks2AWBoxScore
95674Senators2Kings7BWBoxScore
97691Penguins2Kings3BWBoxScore
100714Kings6Wild1AWBoxScore
102727Kings3Stars2AWXBoxScore
104741Kings3Avalanche4ALXBoxScore
106758Blues5Kings4BLBoxScore
114795Kings3Islanders2AWBoxScore
116806Kings5Rangers2AWBoxScore
117815Kings5Devils4AWXXBoxScore
119834Kings4Flyers3AWXBoxScore
121839Kings6Bruins4AWBoxScore
123862Kings9Capitals2AWBoxScore
126882Canucks5Kings4BLXBoxScore
128896Bruins3Kings4BWXBoxScore
130914Capitals2Kings6BWBoxScore
133934Kings2Predators3ALBoxScore
135949Kings3Panthers1AWBoxScore
137965Kings2Lightning1AWXBoxScore
138970Kings7Hurricanes2AWBoxScore
140987Stars4Kings5BWXXBoxScore
1421004Blackhawks3Kings1BLBoxScore
1451023Canadiens4Kings2BLBoxScore
1471039Blues5Kings2BLBoxScore
1491048Kings7Coyotes2AWBoxScore
1501060Kings3Ducks2AWBoxScore
1541086Predators4Kings2BLBoxScore
1561103Panthers7Kings4BLBoxScore
1581119Jets1Kings7BWBoxScore
1611142Sharks5Kings3BLBoxScore
1631155Ducks-Kings-
1651169Kings-Flames-
1661180Kings-Oilers-
1681195Kings-Canucks-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701206Blackhawks-Kings-
1721223Flames-Kings-
1731229Kings-Coyotes-
1761254Kings-Ducks-
1771263GoldenKnights-Kings-


Depth Chart
Left WingCenterRight Wing
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
Brendan Gallagher
Brendan Gallagher
AGE:32
SK:84
EN:77
DU:96
PH:62
PA:56
SC:67
DF:65
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
Marco Kasper (R)
Marco Kasper
AGE:20
SK:87
EN:80
DU:70
PH:45
PA:44
SC:46
DF:69
Jan Mysak
Jan Mysak
AGE:22
SK:75
EN:71
DU:61
PH:39
PA:29
SC:49
DF:55
Ryan McLeod
Ryan McLeod
AGE:25
SK:79
EN:79
DU:98
PH:60
PA:58
SC:62
DF:79
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

Defense #1Defense #2Goalie
Roman Josi
Roman Josi
AGE:34
SK:96
EN:91
DU:99
PH:93
PA:99
SC:85
DF:80
Michael Matheson
Michael Matheson
AGE:30
SK:89
EN:92
DU:99
PH:79
PA:91
SC:67
DF:83
Noah Hanifin
Noah Hanifin
AGE:27
SK:84
EN:89
DU:98
PH:72
PA:75
SC:70
DF:91
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
Mitchell VandeSompel
Mitchell VandeSompel
AGE:27
SK:75
EN:55
DU:50
PH:38
PA:32
SC:43
DF:65
Ethan Samson (R)
Ethan Samson
AGE:21
SK:81
EN:67
DU:62
PH:34
PA:32
SC:36
DF:53
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
Prospects
Filter Tips
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
Prospect Team NameDraft Year Overall Pick 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

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2039
2040
2041



Kings Stat Leaders (Regular Season)
# Player Name 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
1John Tavares1546704990169434648811503570571912.31%2242890518.701943825761460404341203555.26%191.173594
2Jonathan Toews1479715963167833965612804363584812.23%5463138221.2221138359414982115361651174256.37%321.0724100
3Nathan MacKinnon105754976313124294188862038426012.89%1852039719.30142315457114912315893051.84%201.29948
4PK Subban104020276997126713352378137224138.37%11662471823.771412854261495178202370.00%00.7900
5Filip Forsberg77237447184533581118671147295912.64%1701606920.82114169283864731053452236.15%121.051338

Kings Goalies Stat Leaders (Regular Season)
# Goalie Name 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 Gustavsson1217624130.9052.656758121229831450900.85227
4Karel Vejmelka127634480.8853.4271826440935660450.5008
5Chris Mason1175043120.9063.01654719332834911480920.77854

Kings Career Team Stats
OverallHomeVisitor
Year 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
Regular Season
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
203873342405532300243573715140232114913217361910032111511114091300530830221139089112344793725806382126643755144938511128.83%3015980.40%31439265854.14%1243231953.60%649123652.51%187713151623527923477
Total Regular Season163187949506555785961254756136981645622803027443131392337802815423267035283428298624195672087612510666167911978247210419971653561111693186191868216724481251478717039348028034182122.67%6303115781.64%72319215927753.85%277055246852.80%141032651453.19%408122793836090123662204111329
Playoff
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 Playoff19711285000007126238910460440000036432044935241000003483034522471212561968383254237193657542211421922015632818632162447098222122.51%79014981.14%43689712151.80%3512681351.55%1667332050.21%490733404617153727341380

Kings Stat Leaders (Play-Off)
# Player Name 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 Goalies Stat Leaders (Play-Off)
# Goalie Name 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