Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
Flames
3-1-1, 7pts
7
FINAL
6 Kings
2-1-2, 6pts
Team Stats
OTW1StreakW1
1-0-1Home Record1-0-2
2-1-0Away Record1-1-0
3-1-1Last 10 Games2-1-2
3.60Goals Per Game3.00
3.40Goals Against Per Game3.60
11.76%Power Play Percentage16.67%
90.91%Penalty Kill Percentage80.95%
Blackhawks
0-4-1, 1pts
0
FINAL
2 Kings
2-1-2, 6pts
Team Stats
L2StreakW1
0-2-1Home Record1-0-2
0-2-0Away Record1-1-0
0-4-1Last 10 Games2-1-2
1.80Goals Per Game3.00
3.60Goals Against Per Game3.60
11.76%Power Play Percentage16.67%
88.89%Penalty Kill Percentage80.95%
Kings
2-1-2, 6pts
Day 10
Canucks
2-2-0, 4pts
Team Stats
W1StreakL1
1-0-2Home Record1-1-0
1-1-0Away Record1-1-0
2-1-2Last 10 Games2-2-0
3.00Goals Per Game3.50
3.60Goals Against Per Game3.25
16.67%Power Play Percentage41.18%
80.95%Penalty Kill Percentage100.00%
Kings
2-1-2, 6pts
Day 12
Oilers
2-3-0, 4pts
Team Stats
W1StreakL1
1-0-2Home Record0-2-0
1-1-0Away Record2-1-0
2-1-2Last 10 Games2-3-0
3.00Goals Per Game2.20
3.60Goals Against Per Game3.40
16.67%Power Play Percentage15.00%
80.95%Penalty Kill Percentage78.38%
Kings
2-1-2, 6pts
Day 13
Flames
3-1-1, 7pts
Team Stats
W1StreakOTW1
1-0-2Home Record1-0-1
1-1-0Away Record2-1-0
2-1-2Last 10 Games3-1-1
3.00Goals Per Game3.60
3.60Goals Against Per Game3.40
16.67%Power Play Percentage11.76%
80.95%Penalty Kill Percentage90.91%
Team Leaders
John TavaresGoals
John Tavares
3
Michael MathesonAssists
Michael Matheson
5
Roman JosiPoints
Roman Josi
6
Jonathan ToewsPlus/Minus
Jonathan Toews
2
Dustin WolfWins
Dustin Wolf
1
Filip GustavssonSave Percentage
Filip Gustavsson
0.879

Team Stats
Goals For
15
3.00 GFG
Shots For
195
39.00 Avg
Power Play Percentage
16.7%
5 GF
Offensive Zone Start
47.6%
Goals Against
18
3.60 GAA
Shots Against
128
25.60 Avg
Penalty Kill Percentage
81.0%
4 GA
Defensive Zone Start
34.2%

Injury / Suspension
Colton Dach


Colton Dach

is out for 2 weeks because of a Sprained Right Ankle Injury.
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
Attendance20,945
Season Tickets10,000
Roster Info
Pro Team22
Farm Team28
Contract Limit50 / 51
Prospects39
Salary Cap
Estimated Season Salary Cap80,967,736$
Available Salary Cap9,032,264$
Special Salary Cap Value0$
Players In Salary Cap21
Finance
Year to Date Revenue5,319,140$
Year To Date Expenses4,150,200$
Estimated Season Revenue67,375,773$
Estimated Season Expenses78,817,544$
Current Bank Account90,712,266$
Projected Bank Account76,500,295$
Team History
This Season2-1-2 (6PTS)
History1033-496-125 (0.625%)
Playoff Appearances18
Playoff Record (W-L)121-92
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
1John TavaresX100.0069527892698594859379926965928920217903529,500,000$
2Filip ForsbergX100.0083517991668699834085817074848540217703148,000,000$
3Ryan McLeodX99.0045488686618397738774718640747965217302613,500,000$
4Jake EvansX100.0075468883568199638863638840808150217102932,000,000$
5Alex IafalloX100.0055518681627799614056658157868235216803242,000,000$
6Marco KasperX100.008745818355809665805970724064729021680212925,000$
7Brendan GallagherX100.006644808548789964405771675888833021670334850,000$
8Jonathan Toews (A)X100.0044557484666050699865736987967810216703713,000,000$
9Victor OlofssonX100.0051428486497981664061726869828145216703015,000,000$
10Mark KastelicX100.0099915575837285548952576840747365236402611,050,000$
11Trey Fix-WolanskyX100.0063416884487464634063635684747465216302611,340,000$
12Nick RobertsonX100.0067408582447590584048686840707375216302412,850,000$
13Roman Josi (A)X100.0059508389649279784085718170929220217603538,500,000$
14Michael MathesonX100.0058527780639298624066599265848840217503145,000,000$
15Noah HanifinX100.0053538782708698684070657773788255217202835,000,000$
16Johnathan KovacevicX100.0070697275838298544056528240788055217102831,500,000$
17Cam YorkX100.0061478280588488574056578340707775216902454,500,000$
18Torey KrugX100.0059448286525550674077567358907325216603417,000,000$
Scratches
1Nathan MacKinnon (C)X95.0051518099619297998599837772828745208303031$
2Colton DachX82.089959767667756056405657754066718520640222925,000$
Farm Team
1Jesse PuljujarviX100.009956747677746458405661654076756021640274850,000$
2Matthew PhillipsX100.0046388885407464614069537099767560216302711,050,000$
3Taylor RaddyshX100.0057518678677598594061576140767660216302722,000,000$
4Michael CarconeX100.006148768346747960405961594080775021620291850,000$
5Tye KartyeX100.009951767860718653404958664070717521620241825,000$
6Kole LindX100.0058446478608070554053576290767860216102711,000,000$
7Jan MysakX100.0057608477557767507049526590687380215902311,120,000$
8Henrik RybinskiX100.006253837559695949705444704070707521580241925,000$
9Jordan Dumais (R)X100.004738869242605046404746604064629021550213925,000$
10Xavier BourgaultX100.005347857549706042403946596568698022530231925,000$
11Felix Unger Sorum (R)X100.004939869144706038404037504062669521520203925,000$
12Jaydon DureauX100.006052837549605033403035637370657521500241925,000$
13Olen ZellwegerX100.005443848351818561405764744066748521670222925,000$
14Owen Pickering (R)X100.005253857571746051404755714064699021620213925,000$
15Ryan Mast (R)X100.008560807680555031403130674066618521590223925,000$
16Ryan O'RourkeX100.0060847575596358344034345240686680215402311,120,000$
17Santeri HatakkaX100.0067476975565550304024366140706375215402411,020,000$
18Santtu KinnunenX100.005045837548555039404137504074656521520261600,000$
19Jalen LuypenX100.004547867543655535402942704068678020510232925,000$
20Matvey PetrovX100.005239867565605038403145547366638520510222925,000$
21Tucker RobertsonX100.005659837554605035403139554066638520490222925,000$
22Ethan SamsonX100.005438787570736843403451504066708520560222925,000$
TEAM AVERAGE99.43635180815973745650555768547574632163
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 Gustavsson100.008799998690878890899090768260218602736,000,000$
2Dustin Wolf100.008795997891889088868593707975218402413,500,000$
Scratches
Farm Team
1Karel Vejmelka100.007899999879788281848288807950228202921,500,000$
2Devon Levi100.00817178846965636565639970687522680241750,000$
3Trent Miner100.00876671886562656365644070667520670241750,000$
4Dennis Hildeby100.00765760995956545759579970637520620241750,000$
5Nico Daws100.00796164945050505050507072617020590251950,000$
6Gage Alexander100.00755060975050505050504068598020570231925,000$
TEAM AVERAGE100.0081757991696768686968777270702171
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Patrick Roy86807398958650CAN6052,000,000$


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
1Roman JosiKingsD5246-12065213129.52%313326.701121427000019000.00%000000.9000000101
2John TavaresKingsC5325-50031124102312.50%010921.961237250001220062.93%11600000.9100000000
3Michael MathesonKingsD5055180125124170.00%812625.250111027000017000.00%000000.7900000010
4Nathan MacKinnonKingsC5123-10029239194.35%112825.710116260002230056.54%19100000.4700000000
5Filip ForsbergKingsLW50331120242158100.00%110721.53011626000260050.00%1800000.5600000000
6Ryan McLeodKingsRW530310004187916.67%210921.872025260000101166.67%600000.5500000000
7Alex IafalloKingsLW5022-1000964110.00%05711.460000000001000.00%000000.7000000000
8Noah HanifinKingsD5022-200226370.00%511022.17011225011115000.00%000000.3600000000
9Jake EvansKingsC5112120610104810.00%15410.9700011000010045.10%5100000.7300000000
10Trey Fix-WolanskyKingsRW51121004161316.67%0255.190000000000100.00%100001.5400000001
11Victor OlofssonKingsRW5022-5000470150.00%18116.2702242600000000.00%200000.4900000000
12Marco KasperKingsLW5112-540810711214.29%28116.26101326000000060.00%500000.4900000000
13Brendan GallagherKingsRW51011006272514.29%15310.600000000000000.00%100000.3800000000
14Cam YorkKingsD5101-2406141125.00%46212.600000000001000.00%000000.3200000000
15Johnathan KovacevicKingsD5011-2408810230.00%510721.49000725011013000.00%000000.1900000000
16Nick RobertsonKingsLW5011120224320.00%0255.19000000000000100.00%100000.7700000000
17Jonathan ToewsKingsC51012000212178.33%0336.6400000101260062.86%3500000.6000000000
18Torey KrugKingsD5000-260223220.00%56312.620000000004000.00%000000.0000000000
Team Total or Average90152742-174409189195651667.69%39147216.3659146526712381442156.91%42700000.5700000112
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
1Filip GustavssonKings21010.8793.39124407580000.000023000
2Dustin WolfKings31110.8433.651810111700000.000032010
Team Total or Average52120.8593.5430541181280000.000055010


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 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Alex IafalloKingsLW321993-12-21No201 Lbs6 ft0YesNoNo4Pro & Farm2,000,000$2,000,000$1,898,876$No2,000,000$2,000,000$2,000,000$
UFA
Link / NHL Link
Brendan GallagherKingsRW331992-05-06No185 Lbs5 ft9YesNoNo4Pro & Farm850,000$850,000$807,022$No850,000$850,000$850,000$
UFA
Link / NHL Link
Cam YorkKingsD242001-01-05No194 Lbs6 ft0NoNoYes5Pro & Farm4,500,000$4,500,000$4,272,472$No4,500,000$4,500,000$4,500,000$4,500,000$
UFA
Link / NHL Link
Colton Dach (Out of Payroll)KingsRW222003-01-04No196 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$878,230$No925,000$
RFA
Link / NHL Link
Dustin WolfKingsG242001-04-16No156 Lbs6 ft0NoNoYes1Pro & Farm3,500,000$3,500,000$3,323,034$No
RFA
Link / NHL Link
Filip ForsbergKingsLW311994-08-13No205 Lbs6 ft1NoNoYes4Pro Only8,000,000$8,000,000$7,595,506$No8,000,000$8,000,000$8,000,000$
UFA
Link / NHL Link
Filip GustavssonKingsG271998-06-07No185 Lbs6 ft2NoNoYes3Pro Only6,000,000$6,000,000$5,696,629$No6,000,000$6,000,000$
UFA
Link / NHL Link
Jake EvansKingsC291996-06-02No190 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$2,000,000$1,898,876$No2,000,000$2,000,000$
UFA
Link / NHL Link
John TavaresKingsC351990-09-20No211 Lbs6 ft1NoNoYes2Pro Only9,500,000$9,500,000$9,019,663$No9,500,000$
UFA
Link / NHL Link
Johnathan KovacevicKingsD281997-07-12No223 Lbs6 ft5NoNoNo3Pro & Farm1,500,000$1,500,000$1,424,157$No1,500,000$1,500,000$
UFA
Link / NHL Link
Jonathan ToewsKingsC371988-04-29No201 Lbs6 ft2NoNoYes1Pro & Farm3,000,000$3,000,000$2,848,315$No
UFA
Link / NHL Link
Marco KasperKingsLW212004-04-08No183 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$878,230$No925,000$
RFA
Link / NHL Link
Mark KastelicKingsC261999-03-11No227 Lbs6 ft4NoNoNo1Pro & Farm1,050,000$1,050,000$996,910$No
RFA
Link / NHL Link
Michael MathesonKingsD311994-02-27No196 Lbs6 ft2NoNoYes4Pro Only5,000,000$5,000,000$4,747,191$No5,000,000$5,000,000$5,000,000$
UFA
Link / NHL Link
Nathan MacKinnon (Out of Payroll)KingsC301995-09-01No200 Lbs6 ft0YesNoYes3Pro Only1$1$1$No11,000,000$11,000,000$
UFA
Link / NHL Link
Nick RobertsonKingsLW242001-09-11No178 Lbs5 ft9NoNoYes1Pro & Farm2,850,000$2,850,000$2,705,899$No
RFA
Link / NHL Link
Noah HanifinKingsD281997-01-25No206 Lbs6 ft3NoNoYes3Pro Only5,000,000$5,000,000$4,747,191$No5,000,000$5,000,000$
UFA
Link / NHL Link
Roman JosiKingsD351990-06-01No201 Lbs6 ft1NoNoYes3Pro Only8,500,000$8,500,000$8,070,225$No8,500,000$8,500,000$
UFA
Link / NHL Link
Ryan McLeodKingsRW261999-09-21No188 Lbs6 ft3NoNoYes1Pro & Farm3,500,000$3,500,000$3,323,034$No
RFA
Link / NHL Link
Torey KrugKingsD341991-04-12No194 Lbs5 ft9NoNoYes1Pro Only7,000,000$7,000,000$6,646,067$No
UFA
Link / NHL Link
Trey Fix-WolanskyKingsRW261999-05-26No193 Lbs5 ft7NoNoNo1Pro & Farm1,340,000$1,340,000$1,272,247$No
RFA
Link / NHL Link
Victor OlofssonKingsRW301995-07-18No180 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$4,747,191$No
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.77195 Lbs6 ft12.413,724,546$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
81,940,001$65,700,000$54,350,000$20,350,000$4,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergMark KastelicRyan McLeod40122
2Marco KasperJohn TavaresVictor Olofsson30122
3Alex IafalloJake EvansBrendan Gallagher20122
4Nick RobertsonJonathan ToewsTrey Fix-Wolansky10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiMichael Matheson40122
2Noah HanifinJohnathan Kovacevic30122
3Cam YorkTorey Krug20122
4Roman JosiMichael Matheson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergMark KastelicRyan McLeod60122
2Marco KasperJohn TavaresVictor Olofsson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiMichael Matheson60122
2Noah HanifinJohnathan Kovacevic40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark KastelicJohn Tavares60122
2Filip ForsbergRyan McLeod40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiMichael Matheson60122
2Noah HanifinJohnathan Kovacevic40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mark Kastelic60122Roman JosiMichael Matheson60122
2John Tavares40122Noah HanifinJohnathan Kovacevic40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mark KastelicJohn Tavares60122
2Filip ForsbergRyan McLeod40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman JosiMichael Matheson60122
2Noah HanifinJohnathan Kovacevic40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergMark KastelicRyan McLeodRoman JosiMichael Matheson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergMark KastelicRyan McLeodRoman JosiMichael Matheson
Extra Forwards
Normal PowerPlayPenalty Kill
Jake Evans, Alex Iafallo, Jonathan ToewsJake Evans, Alex IafalloJonathan Toews
Extra Defensemen
Normal PowerPlayPenalty Kill
Cam York, Torey Krug, Noah HanifinCam YorkTorey Krug, Noah Hanifin
Penalty Shots
Mark Kastelic, John Tavares, Filip Forsberg, Ryan McLeod, Jake Evans
Goalie
#1 : Dustin Wolf, #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
1Blackhawks11000000202110000002020000000000021.0002350111004491718016481511218.18%40100.00%012719963.82%7814354.55%387650.00%3121167127
2Ducks11000000541000000000001100000054121.000510150032003914141102268264125.00%3166.67%012719963.82%7814354.55%387650.00%2619207126
3Flames1000010067-11000010067-10000000000010.50061016002310311211713214810500.00%30100.00%112719963.82%7814354.55%387650.00%2821196127
4GoldenKnights1000010023-11000010023-10000000000010.5002460011003913168236710284250.00%5180.00%012719963.82%7814354.55%387650.00%2618248136
5Mammoth1010000004-4000000000001010000004-400.0000000000004211141702281412600.00%6266.67%012719963.82%7814354.55%387650.00%2718196136
Total521002001518-331000200101002110000058-360.600152742017710195597261312839489130516.67%21480.95%112719963.82%7814354.55%387650.00%141100100366335
_Since Last GM Reset521002001518-331000200101002110000058-360.600152742017710195597261312839489130516.67%21480.95%112719963.82%7814354.55%387650.00%141100100366335
_Vs Conference521002001518-331000200101002110000058-360.600152742017710195597261312839489130516.67%21480.95%112719963.82%7814354.55%387650.00%141100100366335
_Vs Division411002001318-520000200810-22110000058-340.500132437006610151505543311235407619315.79%17476.47%112719963.82%7814354.55%387650.00%1107883285127

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
56W115274219512839489101
All Games
GPWLOTWOTL SOWSOLGFGA
52102001518
Home Games
GPWLOTWOTL SOWSOLGFGA
31002001010
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000058
Last 10 Games
WLOTWOTL SOWSOL
210200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
30516.67%21480.95%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
59726137710
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12719963.82%7814354.55%387650.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
141100100366335


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
17GoldenKnights3Kings2BLXBoxScore
216Kings5Ducks4AWBoxScore
534Kings0Mammoth4ALBoxScore
646Flames7Kings6BLXBoxScore
861Blackhawks0Kings2BWBoxScore
1082Kings-Canucks-
1290Kings-Oilers-
1395Kings-Flames-
15114Ducks-Kings-
17131Sharks-Kings-
20152Jets-Kings-
22166Panthers-Kings-
24183Predators-Kings-
28208Kings-Ducks-
29213Kings-Mammoth-
31235Blues-Kings-
33248Canadiens-Kings-
36269Blackhawks-Kings-
38285Stars-Kings-
40296Kings-Hurricanes-
41308Kings-Lightning-
43321Kings-Panthers-
45338Kings-Predators-
48361Capitals-Kings-
50373Bruins-Kings-
52390Canucks-Kings-
55412Kings-Capitals-
57422Kings-Bruins-
59447Kings-Flyers-
61458Kings-Devils-
62465Kings-Rangers-
64477Kings-Islanders-
72515Blues-Kings-
74523Kings-Avalanche-
76541Kings-Stars-
78555Kings-Wild-
81578Penguins-Kings-
83593Senators-Kings-
86619Kings-Sharks-
88630Oilers-Kings-
90646Lightning-Kings-
92660Kings-GoldenKnights-
93666Kings-Avalanche-
95682GoldenKnights-Kings-
97696Mammoth-Kings-
98713Kings-GoldenKnights-
99724Kings-Sharks-
103750Jets-Kings-
106775Kings-Penguins-
108787Kings-BlueJackets-
110799Kings-Sabres-
111808Kings-RedWings-
113826GoldenKnights-Kings-
115836Devils-Kings-
117851Mammoth-Kings-
119862Hurricanes-Kings-
121879Kings-Flames-
122885Kings-Oilers-
124904Kings-Canucks-
126912Oilers-Kings-
127918Canucks-Kings-
129947Avalanche-Kings-
131962Kings-Blues-
133975Kings-Predators-
134982Kings-Blackhawks-
1371003MapleLeafs-Kings-
1401026Flames-Kings-
1421041Wild-Kings-
1441051Ducks-Kings-
1471069BlueJackets-Kings-
1491086Flyers-Kings-
1531111Rangers-Kings-
1561136Kings-Wild-
1581145Kings-Stars-
1611162Sabres-Kings-
1631177Islanders-Kings-
1661198Kings-MapleLeafs-
1681212Kings-Senators-
1691221Kings-Canadiens-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711236Kings-Jets-
1731243RedWings-Kings-
1751257Sharks-Kings-


Depth Chart
Left WingCenterRight Wing
Filip Forsberg
Filip Forsberg
AGE:31
SK:91
EN:86
DU:99
PH:83
PA:85
SC:81
DF:70
Marco Kasper
Marco Kasper
AGE:21
SK:83
EN:80
DU:96
PH:65
PA:59
SC:70
DF:72
Alex Iafallo
Alex Iafallo
AGE:32
SK:81
EN:77
DU:99
PH:61
PA:56
SC:65
DF:81
Nick Robertson
Nick Robertson
AGE:24
SK:82
EN:75
DU:90
PH:58
PA:48
SC:68
DF:68
Tye Kartye
Tye Kartye
AGE:24
SK:78
EN:71
DU:86
PH:53
PA:49
SC:58
DF:66
Michael Carcone
Michael Carcone
AGE:29
SK:83
EN:74
DU:79
PH:60
PA:59
SC:61
DF:59
Kole Lind
Kole Lind
AGE:27
SK:78
EN:80
DU:70
PH:55
PA:53
SC:57
DF:62
Matvey Petrov
Matvey Petrov
AGE:22
SK:75
EN:60
DU:50
PH:38
PA:31
SC:45
DF:54
Jalen Luypen
Jalen Luypen
AGE:23
SK:75
EN:65
DU:55
PH:35
PA:29
SC:42
DF:70
Jaydon Dureau
Jaydon Dureau
AGE:24
SK:75
EN:60
DU:50
PH:33
PA:30
SC:35
DF:63
Tucker Robertson
Tucker Robertson
AGE:22
SK:75
EN:60
DU:50
PH:35
PA:31
SC:39
DF:55
Nathan MacKinnon
Nathan MacKinnon
AGE:30
SK:99
EN:92
DU:97
PH:99
PA:99
SC:83
DF:77
John Tavares
John Tavares
AGE:35
SK:92
EN:85
DU:94
PH:85
PA:79
SC:92
DF:69
Jake Evans
Jake Evans
AGE:29
SK:83
EN:81
DU:99
PH:63
PA:63
SC:63
DF:88
Jonathan Toews
Jonathan Toews
AGE:37
SK:84
EN:60
DU:50
PH:69
PA:65
SC:73
DF:69
Mark Kastelic
Mark Kastelic
AGE:26
SK:75
EN:72
DU:85
PH:54
PA:52
SC:57
DF:68
Jan Mysak
Jan Mysak
AGE:23
SK:77
EN:77
DU:67
PH:50
PA:49
SC:52
DF:65
Ryan McLeod
Ryan McLeod
AGE:26
SK:86
EN:83
DU:97
PH:73
PA:74
SC:71
DF:86
Victor Olofsson
Victor Olofsson
AGE:30
SK:86
EN:79
DU:81
PH:66
PA:61
SC:72
DF:68
Brendan Gallagher
Brendan Gallagher
AGE:33
SK:85
EN:78
DU:99
PH:64
PA:57
SC:71
DF:67
Colton Dach
Colton Dach
AGE:22
SK:76
EN:75
DU:60
PH:56
PA:56
SC:57
DF:75
Jesse Puljujarvi
Jesse Puljujarvi
AGE:27
SK:76
EN:74
DU:64
PH:58
PA:56
SC:61
DF:65
Trey Fix-Wolansky
Trey Fix-Wolansky
AGE:26
SK:84
EN:74
DU:64
PH:63
PA:63
SC:63
DF:56
Matthew Phillips
Matthew Phillips
AGE:27
SK:85
EN:74
DU:64
PH:61
PA:69
SC:53
DF:70
Taylor Raddysh
Taylor Raddysh
AGE:27
SK:78
EN:75
DU:98
PH:59
PA:61
SC:57
DF:61
Henrik Rybinski
Henrik Rybinski
AGE:24
SK:75
EN:69
DU:59
PH:49
PA:54
SC:44
DF:70
Jordan Dumais (R)
Jordan Dumais
AGE:21
SK:92
EN:60
DU:50
PH:46
PA:47
SC:46
DF:60
Xavier Bourgault
Xavier Bourgault
AGE:23
SK:75
EN:70
DU:60
PH:42
PA:39
SC:46
DF:59
Felix Unger Sorum (R)
Felix Unger Sorum
AGE:20
SK:91
EN:70
DU:60
PH:38
PA:40
SC:37
DF:50

Defense #1Defense #2Goalie
Roman Josi
Roman Josi
AGE:35
SK:89
EN:92
DU:79
PH:78
PA:85
SC:71
DF:81
Michael Matheson
Michael Matheson
AGE:31
SK:80
EN:92
DU:98
PH:62
PA:66
SC:59
DF:92
Noah Hanifin
Noah Hanifin
AGE:28
SK:82
EN:86
DU:98
PH:68
PA:70
SC:65
DF:77
Johnathan Kovacevic
Johnathan Kovacevic
AGE:28
SK:75
EN:82
DU:98
PH:54
PA:56
SC:52
DF:82
Cam York
Cam York
AGE:24
SK:80
EN:84
DU:88
PH:57
PA:56
SC:57
DF:83
Olen Zellweger
Olen Zellweger
AGE:22
SK:83
EN:81
DU:85
PH:61
PA:57
SC:64
DF:74
Torey Krug
Torey Krug
AGE:34
SK:86
EN:55
DU:50
PH:67
PA:77
SC:56
DF:73
Owen Pickering (R)
Owen Pickering
AGE:21
SK:75
EN:74
DU:60
PH:51
PA:47
SC:55
DF:71
Ryan Mast (R)
Ryan Mast
AGE:22
SK:76
EN:55
DU:50
PH:31
PA:31
SC:30
DF:67
Ethan Samson
Ethan Samson
AGE:22
SK:75
EN:73
DU:68
PH:43
PA:34
SC:51
DF:50
Ryan O'Rourke
Ryan O'Rourke
AGE:23
SK:75
EN:63
DU:58
PH:34
PA:34
SC:34
DF:52
Santeri Hatakka
Santeri Hatakka
AGE:24
SK:75
EN:55
DU:50
PH:30
PA:24
SC:36
DF:61
Santtu Kinnunen
Santtu Kinnunen
AGE:26
SK:75
EN:55
DU:50
PH:39
PA:41
SC:37
DF:50
Filip Gustavsson
Filip Gustavsson
AGE:27
SK:87
AG:90
RB:87
SC:88
HS:90
RT:89
DF:90
Dustin Wolf
Dustin Wolf
AGE:24
SK:87
AG:91
RB:88
SC:90
HS:88
RT:86
DF:85
Karel Vejmelka
Karel Vejmelka
AGE:29
SK:78
AG:79
RB:78
SC:82
HS:81
RT:84
DF:82
Devon Levi
Devon Levi
AGE:24
SK:81
AG:69
RB:65
SC:63
HS:65
RT:65
DF:63
Trent Miner
Trent Miner
AGE:24
SK:87
AG:65
RB:62
SC:65
HS:63
RT:65
DF:64
Dennis Hildeby
Dennis Hildeby
AGE:24
SK:76
AG:59
RB:56
SC:54
HS:57
RT:59
DF:57
Nico Daws
Nico Daws
AGE:25
SK:79
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Gage Alexander
Gage Alexander
AGE:23
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
Andrei TrofimovKings2039215
Andrey KrutovKings2038210
Anton AnderssonKings2031173
Brandon SaigeonKings2032120
Brayden YagerKings203714
Chase ClarkKings2035206
Cole KnubleKings2037107
Daniil SobolevKings2035171
Ethan WyttenbachKings2039153
Hudson MalinoskiKings2037138
Hugo GabrielsonKings2035186
Jakov NovakKings2032210
James ReederKings2038117
Joel Ratkovic BerndtssonKings2036175
Josh PillarKings2035124
Justin PoirierKings203855
Kale DachKings2039184
Liam GreentreeKings203824
Lucas ForsellKings2035180
Mac SwansonKings2038179
Malcolm SpenceKings203929
Melvin FernstromKings203868
Mikael HakkarainenKings2032139
Nate MisskeyKings2038148
Nick MalikKings2036144
Ryan ConmyKings2037169
Ryan McclearyKings2035217
Simon KnakKings2035138
Theo StockseliusKings203960
Toni UtunenKings2032150
Tyson GallowayKings2035174
Vyacheslav PeksaKings2035207
William Von Barnekow LofbergKings2035176
Wilson BjorckKings2039122
Yegor YegorovKings2037200
Yevgeni OksentyukKings203489
Zach FischerKings203183

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2040
2041
2042



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 Tavares1560719997171634850311803599578712.42%2242917818.701993865851482404351213555.33%201.183594
2Jonathan Toews1493717963168033865612804376586812.22%5463146421.0721138359414982215371671174256.38%321.0724100
3Nathan MacKinnon107155877513334394188982068433612.87%1862070719.34145321466117312317913151.80%201.29948
4PK Subban104020276997126713352378137224138.37%11662471823.771412854261495178202370.00%00.7900
5Filip Forsberg78638348586834682719281166303612.62%1721635620.81117177294889731055472236.32%131.061338

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 Gustavsson1318524140.9052.647366161232434090900.85227
4Karel Vejmelka128644480.8853.4172426441235980450.5008
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
203882422406532345265804118140332116714225412410032111781235510934561195622135101100122673896849906402364701844161744812828.57%3376580.71%31618301353.70%1394259753.68%737140152.61%2119148618085921041542
2039521002001518-331000200101002110000058-36152742017710195597261312839489130516.67%21480.95%112719963.82%7814354.55%387650.00%141100100366335
Total Regular Season164588949606657785961854796138982346022803129443131672357810822429268035283428301824395792111618510774169591979276212220091654566351855188151884316729484911488417176350618127184322.68%6360116781.65%73322275983153.86%279345288952.82%142292675553.18%411952820836375124672222211429
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
203816970000058553734000002426-29630000034295185810416200231419248914414019312488146177327812227.16%752369.33%031158553.16%25656745.15%14126054.23%391267382117201101
Total Playoff213121920000077067892111634800000388346421025844000003823325024277013602130382626825619570641862254238520276816200923394797106324322.86%86517280.12%44000770651.91%3768738051.06%1808358050.50%529836075000165429351481

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 Toews205991382371511620562678612.60%76441121.523257892061341315554.89%31.0700
2John Tavares21293115208177015551876612.14%27394618.61244973187000016753.36%51.0500
3Nathan MacKinnon1476895163204012626955712.21%27302620.5919385714000049647.00%31.0800
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
3Filip Gustavsson2110810.8813.62121000736150200.0000
4Simeon Varlamov139200.9381.927512024388156200.0000
5Chris Mason108200.9162.466092125296114100.0000