Kings

GP: 31 | W: 17 | L: 11 | OTL: 3 | P: 37
GF: 79 | GA: 74 | PP%: 10.89% | PK%: 88.80%
GM : Jerome Dufour | Morale : 75 | Team Overall : 68
Next Games #483 vs Rangers

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 SP
1Logan Couture (C)X95.006337867877849476747880827980736975740
2Vladimir TarasenkoX96.007638878179848979527882648375736975740
3Anders LeeX97.007853757790829576607182587977894075730
4Jonathan Huberdeau (A)XX97.005940838079859579558478667771738575730
5Alex KillornX98.007345787277799571537469776878725275700
6Tyler ToffoliXX100.006243887674839574567173667573706175700
7Brian BoyleXX100.008450766599748664776169736285794175690
8Drew StaffordX100.007438886483727063586162596384744875650
9Kyle CliffordX100.008578656383678562546164566375706378640
10Tom KuhnhacklX100.008336916180705959536258815773675275640
11Marcus KrugerX100.006839805972678758746057735976714475630
12Boo NievesXXX100.006236896385716461766258645969666479630
13Morgan Rielly (A)X97.006236908082899578308673726169708575730
14Alec MartinezX95.007936856879877367307366795480743875690
15Jordie BennX98.008045836380859461307162805380732775680
16Ben LovejoyX100.007945806278828459306658845185752575660
17Christopher TanevX95.005838876380866862307358915278703575660
Scratches
1Brett RitchieX100.008855696390656662526162576371687075640
2Tony DeAngeloX62.496961697168857469307861645367648175660
3Alexander PetrovicX36.858943686290815261306954654873676575640
TEAM AVERAGE93.30744581698179816750706671637672567568
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 SP
1Jonathan Quick96.00929189819190929190929182873975750
2Thomas Greiss100.00878886878685878685878682873775730
Scratches
TEAM AVERAGE98.0090908884898890898890898287387574
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter DeBoer79829481757075CAN5033,500,000$


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
1Logan CoutureKingsC31192140124026122143396613.29%568322.0532522880001786150.37%94100021.1703000532
2Vladimir TarasenkoKingsRW311214268120565192266213.04%560619.5713417890000272238.81%6700000.8603000232
3Jonathan HuberdeauKingsC/LW31813215209518620759.30%657718.6322423880001121242.94%34700000.7302000121
4Anders LeeKingsLW31812209395893274204210.81%461819.960228860001271138.04%9200000.6503010033
5Tyler ToffoliKingsC/RW31119201020114267204016.42%158018.7412313840001213146.51%4300000.6901000111
6Christopher TanevKingsD31612185255484335102017.14%4472423.3722417740000103000.00%000000.5000000012
7Morgan RiellyKingsD3001616212046414413300.00%2765021.680002687000040000.00%000000.4900000000
8Ben LovejoyKingsD312911-12008030236158.70%2763520.50011928000096100.00%000000.3500000022
9Alec MartinezKingsD3101111320066483911220.00%3571523.0804418760000105000.00%000000.3100000100
10Alex KillornKingsLW19538-3115462738163513.16%234218.031236480004592036.84%1900000.4700100202
11Tony DeAngeloKingsD240883160252524690.00%1336515.24000136100004000.00%000000.4400000000
12Jordie BennKingsD27145-2160421821264.76%2334412.77101211000183010.00%000000.2900000000
13Brian BoyleKingsC/LW2514543355032346262.94%236614.670002110001470053.79%42200000.2701010010
14Alexander PetrovicKingsD201345200431611039.09%1525512.7800001400006000.00%000000.3100000000
15Drew StaffordKingsRW31112040713187105.56%331910.3100004000031039.74%7800000.1301000000
16Tom KuhnhacklKingsRW31112-48021233214373.12%1340813.190003270001980038.89%3600000.1000000000
17Matt RoyReign (LAK)D3011440221100.00%03411.660000100002000.00%000000.5700000000
18Brett RitchieKingsRW26101-14045812368.33%12128.1600000000000038.71%15500000.0900000000
19Kyle CliffordKingsLW31101-1240506212134.76%02799.0000004000020021.43%1400000.0701000000
20Marcus KrugerKingsC16101-56062416246.25%019912.46000020000590153.85%24700000.1000000001
21Boo NievesKingsC/LW/RW270110002189550.00%21937.1800000000050044.21%19000000.1000000000
Team Total or Average5587914322253282207706728402295269.40%228911616.341120311798920001188617947.64%265100020.49015120121616
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
1Jonathan QuickKings2716820.9272.07156683547440200.7147265613
2Thomas GreissKings71310.9043.0631420161670010.8758526100
Team Total or Average34171130.9232.231880103709110210.800153131713


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alec Martinez (1 Way Contract)KingsD311987-07-26No209 Lbs6 ft1NoNoYes2UFAPro & Farm3,525,000$3,525,000$2,255,242$NoLink / NHL Link
Alex Killorn (Out of Payroll)KingsLW291989-09-14No196 Lbs6 ft1NoNoYes3UFAPro & Farm3,205,000$0$0$YesLink / NHL Link
Alexander Petrovic (Out of Payroll)KingsD261992-03-03No216 Lbs6 ft4NoNoYes1RFAPro & Farm1,679,000$0$0$YesLink / NHL Link
Anders Lee (1 Way Contract)KingsLW281990-07-03No231 Lbs6 ft3NoNoYes4UFAPro & Farm5,600,000$5,600,000$3,582,796$NoLink / NHL Link
Ben Lovejoy (1 Way Contract)KingsD341984-02-20No205 Lbs6 ft1NoNoYes1UFAPro & Farm2,800,000$2,800,000$1,791,398$NoLink / NHL Link
Boo NievesKingsC/LW/RW241994-01-23No210 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$925,000$591,801$NoLink / NHL Link
Brett RitchieKingsRW251993-07-01No220 Lbs6 ft4NoNoNo1RFAPro & Farm943,000$943,000$603,317$NoLink / NHL Link
Brian Boyle (Out of Payroll)KingsC/LW341984-12-18No245 Lbs6 ft6NoNoYes1UFAPro & Farm3,511,112$0$0$YesLink / NHL Link
Christopher Tanev (1 Way Contract)KingsD291989-12-20No197 Lbs6 ft2NoNoYes2UFAPro & Farm2,691,000$2,691,000$1,721,661$NoLink / NHL Link
Drew StaffordKingsRW331985-10-30No215 Lbs6 ft2NoNoNo2UFAPro & Farm999,999$999,999$639,784$NoLink / NHL Link
Jonathan Huberdeau (1 Way Contract)KingsC/LW251993-06-04No200 Lbs6 ft1NoNoYes2RFAPro & Farm5,600,000$5,600,000$3,582,796$NoLink / NHL Link
Jonathan Quick (1 Way Contract)KingsG321986-01-21No216 Lbs6 ft1NoNoYes1UFAPro & Farm6,875,000$6,875,000$4,398,522$NoLink / NHL Link
Jordie Benn (Out of Payroll)KingsD311987-07-26No199 Lbs6 ft2NoNoYes3UFAPro & Farm1,530,000$0$0$YesLink / NHL Link
Kyle CliffordKingsLW271991-01-13No211 Lbs6 ft2NoNoNo2RFAPro & Farm940,000$940,000$601,398$NoLink / NHL Link
Logan Couture (1 Way Contract)KingsC291989-03-28No200 Lbs6 ft1NoNoYes3UFAPro & Farm6,453,000$6,453,000$4,128,532$NoLink / NHL Link
Marcus Kruger (1 Way Contract)KingsC281990-05-27No186 Lbs6 ft0NoNoYes1UFAPro & Farm1,500,000$1,500,000$959,677$NoLink / NHL Link
Morgan Rielly (1 Way Contract)KingsD241994-03-09No221 Lbs6 ft1NoNoYes3RFAPro & Farm3,733,000$3,733,000$2,388,317$NoLink / NHL Link
Thomas Greiss (1 Way Contract)KingsG321986-01-29No232 Lbs6 ft2NoNoYes2UFAPro & Farm3,000,000$3,000,000$1,919,355$NoLink / NHL Link
Tom Kuhnhackl (1 Way Contract)KingsRW261992-01-21No196 Lbs6 ft2NoNoYes2RFAPro & Farm1,600,000$1,600,000$1,023,656$NoLink / NHL Link
Tony DeAngelo (Out of Payroll)KingsD231995-10-24No180 Lbs5 ft11NoNoYes2ELCPro & Farm970,000$0$0$YesLink / NHL Link
Tyler Toffoli (1 Way Contract)KingsC/RW261992-04-24No197 Lbs6 ft0NoNoYes1RFAPro & Farm3,025,000$3,025,000$1,935,349$NoLink / NHL Link
Vladimir Tarasenko (1 Way Contract)KingsRW271991-12-13No225 Lbs6 ft0NoNoYes5RFAPro & Farm6,870,000$6,870,000$4,395,323$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.32209 Lbs6 ft22.093,089,778$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
67,975,111$47,641,999$27,391,000$12,470,000$6,870,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauLogan CoutureVladimir Tarasenko37113
2Anders LeeBrian BoyleTyler Toffoli33023
3Alex KillornMarcus KrugerTom Kuhnhackl20221
4Kyle CliffordBoo NievesDrew Stafford10320
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Morgan RiellyChristopher Tanev40032
2Alec MartinezBen Lovejoy37032
3Jordie Benn23131
4Alec MartinezBen Lovejoy0140
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauLogan CoutureVladimir Tarasenko55113
2Anders LeeTyler ToffoliAlex Killorn45113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezMorgan Rielly55023
2Jordie BennChristopher Tanev45023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Marcus KrugerTom Kuhnhackl50131
2Brian BoyleAlex Killorn50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Christopher TanevBen Lovejoy50140
2Alec MartinezJordie Benn50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Marcus Kruger53140Alec MartinezJordie Benn53050
2Brian Boyle47140Christopher TanevBen Lovejoy47050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan CoutureVladimir Tarasenko50023
2Tyler ToffoliJonathan Huberdeau50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christopher TanevAlec Martinez50131
2Ben LovejoyMorgan Rielly50131
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonathan HuberdeauLogan CoutureVladimir TarasenkoAlec MartinezMorgan Rielly
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alex KillornBrian BoyleTom KuhnhacklJordie BennBen Lovejoy
Extra Forwards
Normal PowerPlayPenalty Kill
Vladimir Tarasenko, Jonathan Huberdeau, Anders LeeJonathan Huberdeau, Anders LeeLogan Couture
Extra Defensemen
Normal PowerPlayPenalty Kill
Alec Martinez, Ben Lovejoy, Christopher TanevAlec MartinezChristopher Tanev, Ben Lovejoy
Penalty Shots
Logan Couture, Vladimir Tarasenko, Anders Lee, Jonathan Huberdeau, Tyler Toffoli
Goalie
#1 : Jonathan Quick, #2 : Thomas Greiss
Custom OT Lines Forwards
Logan Couture, Vladimir Tarasenko, Jonathan Huberdeau, Anders Lee, Alex Killorn, Tyler Toffoli, Tyler Toffoli, Marcus Kruger, Brian Boyle, Tom Kuhnhackl, Boo Nieves
Custom OT Lines Defensemen
Morgan Rielly, Alec Martinez, Christopher Tanev, Jordie Benn, Ben Lovejoy


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3137W57914322284091222829277012
All Games
GPWLOTWOTL SOWSOLGFGA
31151120037974
Home Games
GPWLOTWOTL SOWSOLGFGA
167600033939
Visitor Games
GPWLOTWOTL SOWSOLGFGA
158520004035
Last 10 Games
WLOTWOTL SOWSOL
720001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1011110.89%1251488.80%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
268292264312631202
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
516106148.63%511109646.62%23646251.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
720487760231400196


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
4 - 2019-10-0530Kings3Oilers1WBoxScore
7 - 2019-10-0842Kings3Flames2WBoxScore
8 - 2019-10-0946Kings7Canucks1WBoxScore
11 - 2019-10-1263Predators3Kings2LXXBoxScore
12 - 2019-10-1376Golden Knights4Kings3LXXBoxScore
14 - 2019-10-1591Hurricanes0Kings2WBoxScore
16 - 2019-10-17106Sabres1Kings5WBoxScore
18 - 2019-10-19122Flames3Kings1LBoxScore
21 - 2019-10-22140Kings1Jets0WBoxScore
23 - 2019-10-24149Kings3Blues1WBoxScore
25 - 2019-10-26167Kings1Wild4LBoxScore
26 - 2019-10-27172Kings1Blackhawks4LBoxScore
29 - 2019-10-30193Canucks5Kings3LBoxScore
32 - 2019-11-02217Blackhawks4Kings2LBoxScore
35 - 2019-11-05228Kings1Maple Leafs5LBoxScore
37 - 2019-11-07242Kings2Senators1WXBoxScore
39 - 2019-11-09255Kings2Canadiens1WXBoxScore
42 - 2019-11-12279Wild4Kings0LBoxScore
44 - 2019-11-14293Red Wings2Kings5WBoxScore
46 - 2019-11-16312Golden Knights2Kings0LBoxScore
48 - 2019-11-18317Kings2Coyotes5LBoxScore
51 - 2019-11-21345Oilers1Kings0LXXBoxScore
53 - 2019-11-23350Coyotes1Kings2WBoxScore
55 - 2019-11-25373Sharks6Kings4LBoxScore
57 - 2019-11-27388Islanders1Kings4WBoxScore
59 - 2019-11-29393Kings2Sharks4LBoxScore
60 - 2019-11-30414Jets1Kings2WBoxScore
62 - 2019-12-02423Kings3Ducks2WBoxScore
64 - 2019-12-04437Capitals1Kings4WBoxScore
66 - 2019-12-06450Kings5Oilers2WBoxScore
67 - 2019-12-07462Kings4Flames2WBoxScore
70 - 2019-12-10483Rangers-Kings-
72 - 2019-12-12497Kings-Ducks-
74 - 2019-12-14511Kings-Penguins-
75 - 2019-12-15517Kings-Red Wings-
77 - 2019-12-17524Kings-Bruins-
79 - 2019-12-19541Kings-Blue Jackets-
81 - 2019-12-21552Kings-Sabres-
83 - 2019-12-23581Blues-Kings-
87 - 2019-12-27592Kings-Sharks-
88 - 2019-12-28599Kings-Canucks-
91 - 2019-12-31622Flyers-Kings-
95 - 2020-01-04652Predators-Kings-
97 - 2020-01-06662Blue Jackets-Kings-
99 - 2020-01-08677Stars-Kings-
100 - 2020-01-09686Kings-Golden Knights-
102 - 2020-01-11697Kings-Hurricanes-
105 - 2020-01-14716Kings-Lightning-
107 - 2020-01-16729Kings-Panthers-
109 - 2020-01-18750Kings-Flyers-
120 - 2020-01-29779Lightning-Kings-
121 - 2020-01-30784Kings-Coyotes-
123 - 2020-02-01804Ducks-Kings-
126 - 2020-02-04817Kings-Capitals-
128 - 2020-02-06831Kings-Islanders-
130 - 2020-02-08849Kings-Devils-
131 - 2020-02-09857Kings-Rangers-
134 - 2020-02-12878Flames-Kings-
137 - 2020-02-15902Kings-Avalanche-
140 - 2020-02-18926Kings-Jets-
142 - 2020-02-20940Panthers-Kings-
144 - 2020-02-22958Avalanche-Kings-
145 - 2020-02-23966Oilers-Kings-
148 - 2020-02-26983Penguins-Kings-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2020-02-291000Devils-Kings-
152 - 2020-03-011016Kings-Golden Knights-
156 - 2020-03-051041Maple Leafs-Kings-
158 - 2020-03-071052Wild-Kings-
160 - 2020-03-091069Avalanche-Kings-
162 - 2020-03-111082Senators-Kings-
165 - 2020-03-141099Ducks-Kings-
168 - 2020-03-171131Canadiens-Kings-
170 - 2020-03-191144Bruins-Kings-
172 - 2020-03-211161Canucks-Kings-
173 - 2020-03-221169Coyotes-Kings-
175 - 2020-03-241184Kings-Stars-
177 - 2020-03-261197Kings-Predators-
178 - 2020-03-271200Kings-Blues-
180 - 2020-03-291217Kings-Blackhawks-
182 - 2020-03-311238Sharks-Kings-
185 - 2020-04-031256Kings-Ducks-
186 - 2020-04-041270Stars-Kings-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity57504750375027501000
Ticket Price1301077953300
Attendance86,01158,26655,70841,50815,151
Attendance PCT93.49%76.67%92.85%94.34%94.69%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
25 16040 - 89.11% 2,231,410$35,702,558$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
25,231,105$ 65,326,111$ 63,911,111$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
57,079,999$ 22,394,434$ 0$ 17 5

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
55,785,247$ 119 370,033$ 44,033,927$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
45,844,988$ 57,079,999$ 37,197,392$ 48,861,301$



Depth Chart

Left WingCenterRight Wing
Jonathan HuberdeauAGE:25PO:85OV:73
Anders LeeAGE:28PO:40OV:73
Alex KillornAGE:29PO:52OV:70
Brian BoyleAGE:34PO:41OV:69
Kyle CliffordAGE:27PO:63OV:64
Boo NievesAGE:24PO:64OV:63
Markus HannikainenAGE:25PO:42OV:62
Zach SenyshynAGE:21PO:84OV:60
Jack KopackaAGE:20PO:64OV:60
Trent FredericAGE:20PO:79OV:59
Carsen TwarynskiAGE:21PO:63OV:59
Hunter ShinkarukAGE:24PO:78OV:58
Mason ShawAGE:20PO:64OV:58
David PopeAGE:24PO:60OV:58
Logan CoutureAGE:29PO:69OV:74
Jonathan HuberdeauAGE:25PO:85OV:73
Tyler ToffoliAGE:26PO:61OV:70
Brian BoyleAGE:34PO:41OV:69
Boo NievesAGE:24PO:64OV:63
Marcus KrugerAGE:28PO:44OV:63
Morgan GeekieAGE:20PO:64OV:62
Travis BoydAGE:25PO:47OV:62
Trent FredericAGE:20PO:79OV:59
Hunter ShinkarukAGE:24PO:78OV:58
Tony CameranesiAGE:25PO:55OV:57
Vladimir TarasenkoAGE:27PO:69OV:74
Tyler ToffoliAGE:26PO:61OV:70
Drew StaffordAGE:33PO:48OV:65
Brett RitchieAGE:25PO:70OV:64
Tom KuhnhacklAGE:26PO:52OV:64
Carl GrundstromAGE:21PO:78OV:63
Boo NievesAGE:24PO:64OV:63
Markus HannikainenAGE:25PO:42OV:62
Spencer FooAGE:24PO:60OV:61
Zach SenyshynAGE:21PO:84OV:60
Patrick EavesAGE:34PO:46OV:60
Hunter ShinkarukAGE:24PO:78OV:58
*Nikita KorostelevAGE:21PO:61OV:57
*Steven SwavelyAGE:27PO:47OV:57
*Patrick McGrathAGE:25PO:43OV:56

Defense #1Defense #2Goalie
Morgan RiellyAGE:24PO:85OV:73
Alec MartinezAGE:31PO:38OV:69
Jordie BennAGE:31PO:27OV:68
Tony DeAngeloAGE:23PO:81OV:66
Christopher TanevAGE:29PO:35OV:66
Ben LovejoyAGE:34PO:25OV:66
*Matt RoyAGE:23PO:58OV:65
Alexander PetrovicAGE:26PO:65OV:64
Chris ButlerAGE:32PO:45OV:63
Cody GoloubefAGE:29PO:61OV:61
Gabriel CarlssonAGE:21PO:79OV:60
Connor CliftonAGE:23PO:56OV:60
Ryan StantonAGE:29PO:55OV:60
Jonathan QuickAGE:32PO:39OV:75
Thomas GreissAGE:32PO:37OV:73
John MuseAGE:30PO:42OV:67
Nick SchneiderAGE:21PO:53OV:64

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
Alexis LoiseauKings
Andrew PeekeKings
Andy ChiodoKings
Brant HarrisKings
Brendan O'DonnellKings
Brendan ShinniminKings
Brian BoucherKings
Broc LittleKings
Calvin HeeterKings
Cayden PrimeauKings
David GustafssonKings2048
Henry ThrunKings2164
Hunter JonesKings2177
Jan KostalekKings
Jhonas EnrothKings
Jordan SmothermanKings
Josh BrittainKings
Justin AgostaKings
Kayle DoetzelKings
Kevin MandoleseKings20110
Lindsay SparksKings
Mackenzie EntwistleKings
Mark NaclerioKings
Max ReinhartKings
Patrick CullityKings
Richard NedomlelKings
Ryan GarbuttKings
Scottie UpshallKings
Serron NoelKings2017
Shane BakkerKings
Shawn MatthiasKings
Steve McParlandKings
Thomas FrazeeKings
Ty StantonKings
Tylor SpinkKings
Tyson StrachanKings

Draft Picks

Year R1R2R3R4R5R6R7R8
22LAK LAK TOR LAK LAK LAK LAK LAK
23LAK LAK LAK LAK LAK LAK LAK LAK
24LAK LAK LAK LAK LAK LAK LAK LAK
25LAK LAK LAK LAK LAK LAK LAK LAK
26LAK LAK LAK LAK LAK LAK LAK LAK



[2019-09-24 20:14:53] - Brian Flynn was released.
[2019-09-24 20:07:48] - Nikita Korostelev was added to Kings.
[2019-09-24 20:07:48] - Steven Swavely was added to Kings.
[2019-09-24 20:07:48] - Patrick McGrath was added to Kings.
[2019-09-23 22:25:06] - Reign hired Rocky Thompson for 750 000 $ for 3 year(s).
[2019-08-18 21:25:21] - Kings hired Peter DeBoer for 3 500 000 $ for 3 year(s).
[2019-08-11 21:51:32] - Spencer Foo signed with Kings for 999 999 $ for 3 year(s) / Option : No Trade & Signing Bonus of 599 000 $.
[2019-08-11 21:51:32] - Spencer Foo was added to Kings.
[2019-08-11 21:51:08] - Hunter Shinkaruk signed with Kings for 999 999 $ for 3 year(s) / Option : No Trade & Signing Bonus of 599 000 $.
[2019-08-11 21:51:08] - Hunter Shinkaruk was added to Kings.
[2019-08-11 21:50:09] - Markus Hannikainen signed with Kings for 999 999 $ for 3 year(s) / Option : No Trade & Signing Bonus of 599 000 $.
[2019-08-11 21:50:09] - Markus Hannikainen was added to Kings.
[2019-08-11 21:49:32] - Travis Boyd signed with Kings for 999 999 $ for 3 year(s) / Option : No Trade & Signing Bonus of 599 000 $.
[2019-08-11 21:49:32] - Travis Boyd was added to Kings.
[2019-08-11 21:48:59] - Patrick Eaves signed with Kings for 999 999 $ for 2 year(s) / Option : No Trade & Signing Bonus of 400 000 $.
[2019-08-11 21:48:59] - Patrick Eaves was added to Kings.
[2019-08-01 11:41:15] - TRADE : From Kings to Coyotes : Nikita Alexandrov (P).



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
LHS10824321022772552074841211200134126106204122902143129101288625541867320651018016276682099792170263586662516872664818.05%2213385.07%71047210649.72%1055208050.72%597119250.08%1747100017647671483732
LHS1182422102296246192544119100215410889194123110014213810335842463856312262967716268684297684477255082845417352855418.95%1983383.33%11013208348.63%990196750.33%578113051.15%1830105717027431473749
LHS1282382504168253218354122110203313810434411614021351151141762534186711173997115272087094188874265890770717172875519.16%2864982.87%41085209951.69%1035208449.66%595121648.93%1770101417707661450718
LHS13823332055252452341141131704322105111-64120150120314012317662454116568076867612277695393087249263485751516312635520.91%2335178.11%41148214853.45%1002200549.98%609119451.01%1788104717477461427703
LHS14823425075472362201641161204432112106641181303115124114106823637360962566810116270687389890671261881062417252765419.57%2804783.21%6975204747.63%1016203449.95%620117652.72%1785102717457571462722
LHS1582392702257244207374120130014312390334119140211412111747824439563983601017612279589097291461262386145716802916020.62%2023582.67%21044212649.11%980199249.20%620119451.93%1823106417147371444736
LHS168236340224423922514412413021101331052841122100134106120-14722394246634783797111243878779483061235069546815052424116.94%1784375.84%01535292252.53%1370275149.80%642123551.98%2040145519155721016515
LHS1786363802325216219-343191801113113108543172001212103111-872216385601767367729251380881486554229864234314662423112.81%1211686.78%01540290153.09%1399269751.87%726128956.32%2157154519666041083552
LHS18824027023372221952741239022141299732411718001239398-5802223886102586686312233873577880858234667543215192454116.73%1712386.55%41437266753.88%1436264954.21%668122954.35%2007143019305781040528
LHS198233280626723422014411912030521221002241141603215112120-8662344056394790666614246183576981382234468053416411932412.44%2172986.64%01539277955.38%1537278155.27%678128152.93%2025143319415851038515
LHS20823028071241221214741191003720107901741111804521114124-10602213876082671756416238479177876469241271968816743055618.36%2844783.45%31443287950.12%1336275548.49%604122749.23%1958135019846091042519
LHS5823434022642432394412313011301411093241112101134102130-286824341665915649180122660786897951532709100083817402255122.67%2304580.43%7900184348.83%895178050.28%705137951.12%172295918938341517750
LHS682303904072235247-1241142201031111122-1141161703041124125-1602353786131253838816260282895480257261780759615942495020.08%2274978.41%7979194750.28%954191749.77%672134949.81%1753996393717161496749
LHS782472403143248205434122130203111895234125110111213011020942484136611172947510267983294089341246985360317162374719.83%1663181.33%2999192551.90%926184350.24%671129251.93%1771101416947481495756
LHS882412601329244232124119140111512311674122120021412111658224440765112591008211272985897887068254190657517562325021.55%1953880.51%21064208551.03%1000198450.40%594119049.92%1776103317437511462725
LHS982244103536223269-4641121901333114124-1041122202203109145-36482233665893243977710264675994992348257789369717232555722.35%2435876.13%11029210148.98%967198148.81%622124350.04%1768101617367581476723
21311511020037974516760000339390158502000403553779143222122631202840268292264319122282927701011110.89%1251488.80%0516106148.63%511109646.62%23646251.08%720487760231400196
Total Regular Season1347595481056507491388336172666743122240292643401962171125167328325702724315119211906151197388365121039554531112140212392104273913535146571412810244129313227944827279419478518.72%357764182.08%50192933771951.15%184093639650.58%104372027851.47%304481893331947125092181210894
Playoff
LHS10231670000063531013103000003326710640000030273326310416710192516372420130118636750269167454801721.25%62887.10%030359550.92%29959350.42%16332050.94%493267517227448225
LHS111910900000575071046000002631-5963000003119122057991561017182116481902192241562523414838852713.46%651183.08%225350150.50%24249249.19%13128745.64%405230425176338167
LHS122516900000686261495000004039111740000028235326812219002162721484127031223326849257247487851618.82%931682.80%134568150.66%33867650.00%16834848.28%544315552232445222
LHS131394000004033765100000221757430000018162184067107001410133438158140126144041276828047919.15%35682.86%017233351.65%14128749.13%9018548.65%285165276120228115
LHS147340000021192321000001165413000001013-362132530078602347389702206608713625624.00%32778.13%07516346.01%9518651.08%439545.26%158911486712359
LHS15127500000393366420000021156633000001818014396510412101612138110716011133389784231551018.18%41490.24%216631452.87%14727952.69%8116748.50%264152246112211104
LHS161610600000393278440000017152862000002217520397111011147171458162131156950013782284411024.39%26388.46%025850750.89%31861951.37%12722356.95%39428637511519697
LHS181055000002728-1422000001314-1633000001414010275077011151012769388878318818021239615.38%37878.38%118535452.26%18636850.54%7415448.05%2431682427412764
LHS19734000001921-2312000001011-142200000910-1619345320106301988073450209718917724416.67%27581.48%012023151.95%11624447.54%4811043.64%162112167498943
LHS20624000001616031200000111013120000056-14163147014480158454964020938821541200.00%35682.86%09018149.72%11023946.03%389042.22%13489153417235
LHS5734000001821-331200000910-142200000911-261825430056612538590771245815812319526.32%17476.47%09417454.02%9518351.91%4411239.29%15089204089612259
LHS72011900000655510116500000373259540000028235226510617100182521168219725421912662201160386711622.54%50786.00%027048755.44%24947352.64%14030545.90%438253431185363182
LHS8624000001215-33030000039-63210000096341221331055201968048680203685610124416.67%20385.00%17414451.39%7316145.34%397850.00%127741295310250
Total Playoff1719774000004844384687493800000253235188448360000023120328194484827131177150162156165487174119541666126551817211408341357411019.16%5408883.70%72405466551.55%2409480050.19%1186247447.94%380322975707235328711427