Kings

GP: 15 | W: 8 | L: 7 | OTL: 0 | P: 16
GF: 25 | GA: 20 | PP%: 24.24% | PK%: 88.89%
GM : Daniel Sebera | Morale : 99 | Team Overall : 72
Next Games vs Wild
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Evgeni Malkin (C)XX100.00603683898991809479586262699095086750
2Max PaciorettyX100.00633093848991989260515768678499086740
3Logan CoutureXX100.00623096818486938778505469808287086720
4Mikael BacklundX100.00623094798287978385505174598181086710
5Andrew LaddX100.00704391768086958156435267669599086710
6Matt CullenXX100.00593094738078928184464776599999086700
7Patrick EavesXX100.00663295778383898552455562788686086700
8Lee StempniakX100.00693294768183988350484862759696086700
9Tanner Pearson (R)X100.00713697768284948354465168676969086690
10Lauri KorpikoskiXXX100.00613097707677887837444470578686086660
11Jay McClementX100.00633095657474887279394172579797086650
12Joakim NordstromXX100.00723497667278947253414371576767086640
13Drew Doughty (A)X100.00783091868795999157514680608994086780
14Alec MartinezX100.00793095818786968834504479607979086750
15Kris Letang (A)X100.00783088878593719033544478778686075750
16Nick HoldenX100.00823494798487978434474478597575086740
17Jordie BennX100.00723594738085888034444080587676086700
18Ben LovejoyX100.00753493687687957534403881577979083690
Scratches
TEAM AVERAGE100.0069339377828592835547487265848608571
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
1Antti Raanta100.0076967682797878777779777373086780
2Jonathan Quick100.0074967984747373737373788686086770
Scratches
TEAM AVERAGE100.007596788377767675757678808008678
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Sullivan69849986757472USA4941,000,000$


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 Name
#
POS
GP
G
A
P
+/-
PIM
PIM5
HIT
SHT
OSB
OSM
SHT%
SB
MP
PPG
PPA
PPP
PKG
PKA
PKP
PKM
GW
GT
FO%
FOT
GA
TA
EG
HT
P/20
PSG
PSS
1Evgeni MalkinKingsKingsC/RW156511-760183882215.79%419.:.3711200000053.39%251246010.7500
2Logan CoutureKingsKingsC/LW155611-700650153710.00%719.:.3021300001153.85%13284000.7500
3Max PaciorettyKingsKingsLW156410-7001530132120.00%519.:.3021300002050.00%142310000.6800
4Kris LetangKingsKingsD152810-640484518224.44%3325.:.1703300014020.00%0321000.5300
5Mikael BacklundKingsKingsC153692209418337.32%1119.:.15123000220053.93%178316000.6200
6Tanner PearsonKingsKingsLW15279240273215226.25%217.:.4211200001040.00%10294000.6800
7Nick HoldenKingsKingsD15268540372410108.33%2720.:.4413400014000.00%0318000.5101
8Alec MartinezKingsKingsD15358600223119219.68%2221.:.1100000018000.00%0820000.5000
9Drew DoughtyKingsKingsD15347-580363522158.57%2925.:.4801100015100.00%0924000.3600
10Patrick EavesKingsKingsLW/RW15336200211981815.79%217.:.5700000031033.33%9123000.4500
11Matt CullenKingsKingsC/LW15033-300103010170.00%1014.:.0300000080057.14%119223000.2800
12Jay McClementKingsKingsC151236408113119.09%408.:.5900000000054.10%6121000.4500
13Lee StempniakKingsKingsRW15213-30013218229.52%413.:.150000000100.00%6261000.3000
14Joakim NordstromKingsKingsLW/RW1503362021126100.00%109.:.1500000030050.00%852000.4300
15Andrew LaddKingsKingsLW15202-30022197810.53%213.:.1500000001125.00%4134000.2000
16Lauri KorpikoskiKingsKingsC/LW/RW151126005217164.76%610.:.44000000250066.67%375000.2500
17Jordie BennKingsKingsD15011-200201016110.00%1115.:.210000000000.00%0114000.0900
18Ben LovejoyKingsKingsD15011-20015161180.00%1415.:.210000000000.00%017000.0900
Team Total or Average2704166107-103403533674852043248.45%194460317.05813214329400041278453.11%676247153010.4601000658
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 Name
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Antti RaantaKingsKings1485192.7%2.098610030409250310.0%0141210
2Jonathan QuickKingsKings101080.6%6.00600063117000.0%0114000
Team Total or Average158610.9182.359210036440267310.00001515210


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 Name
POS
Age
Birthday
Rookie
Weight
Height
No Trade
Available For Trade
Force Waivers
CONT
Status
Type
Current Salary
Salary Remaining
Salary Year 2
Salary Year 3
Salary Year 4
Salary Year 5
Salary Year 6
Salary Year 7
Salary Year 8
Salary Year 9
Salary Year 10
Link
Alec MartinezKingsD3026.07.1987No212 Lbs6 ft1NoNoNo4UFAPro & Farm4,000,000$4,000,000$4,000,000$4,000,000$
Andrew LaddKingsLW3212.12.1985No200 Lbs6 ft3NoNoNo3UFAPro & Farm4,700,000$4,700,000$4,700,000$
Antti RaantaKingsD2912.05.1989 1:23:45No187 Lbs6 ft0NoNoNo1UFAPro Only1,500,000$
Ben LovejoyKingsD3420.02.1984No206 Lbs6 ft1NoNoNo3UFAPro & Farm2,700,000$2,700,000$2,700,000$
Drew DoughtyKingsD2808.12.1989No195 Lbs6 ft1NoNoNo3UFAPro & Farm7,000,000$7,000,000$7,000,000$
Evgeni MalkinKingsC/RW3131.07.1986No195 Lbs6 ft3YesNoNo1UFAPro & Farm9,200,000$
Jay McClementKingsC3502.03.1983No205 Lbs6 ft1NoNoNo2UFAPro Only900,000$900,000$
Joakim NordstromKingsLW/RW2625.02.1992No189 Lbs6 ft1NoNoNo1RFAPro Only900,000$
Jonathan QuickKingsRW3221.01.1986No220 Lbs6 ft1YesNoNo1UFAPro & Farm3,000,000$
Jordie BennKingsD3026.07.1987No200 Lbs6 ft2NoNoNo2UFAPro Only1,400,000$1,400,000$
Kris LetangKingsD3124.04.1987No201 Lbs6 ft0NoNoNo2UFAPro & Farm6,500,000$6,500,000$Link
Lauri KorpikoskiKingsC/LW/RW3128.07.1986No193 Lbs6 ft1NoNoNo1UFAPro Only800,000$
Lee StempniakKingsRW3504.02.1983No195 Lbs5 ft11NoNoNo1UFAPro Only1,400,000$
Logan CoutureKingsC/LW2928.03.1989No200 Lbs6 ft1YesNoNo2UFAPro Only5,500,000$5,500,000$
Matt CullenKingsC/LW4102.11.1976No200 Lbs6 ft1NoNoNo1UFAPro Only1,600,000$
Max PaciorettyKingsLW2920.11.1988No215 Lbs6 ft2YesNoNo1UFAPro & Farm5,200,000$
Mikael BacklundKingsC2917.03.1989No199 Lbs6 ft1NoNoNo2UFAPro & Farm2,300,000$2,300,000$
Nick HoldenKingsD3115.05.1987No214 Lbs6 ft4NoNoNo3UFAPro & Farm2,400,000$2,400,000$2,400,000$
Patrick EavesKingsLW/RW3401.05.1984No200 Lbs6 ft0NoNoNo1UFAPro & Farm1,200,000$
Tanner PearsonKingsLW2510.08.1992 4:43:33Yes204 Lbs6 ft1YesNoNo1RFAPro Only2,800,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2031.10202 Lbs6 ft11.803,250,000$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
65,000,000$37,400,000$20,800,000$4,000,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Logan CoutureEvgeni MalkinMax Pacioretty42014
2Tanner PearsonMikael BacklundPatrick Eaves33023
3Andrew LaddMatt CullenLee Stempniak20023
4Joakim NordstromJay McClementLauri Korpikoski5140
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kris LetangDrew Doughty45023
2Alec MartinezNick Holden35023
3Ben LovejoyJordie Benn20131
4Kris LetangDrew Doughty0023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Logan CoutureEvgeni MalkinMax Pacioretty68005
2Tanner PearsonMikael BacklundPatrick Eaves32014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kris LetangDrew Doughty68014
2Alec MartinezNick Holden32014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mikael BacklundLauri Korpikoski60041
2Matt CullenJoakim Nordstrom40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kris LetangDrew Doughty60140
2Alec MartinezNick Holden40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mikael Backlund60050Kris LetangDrew Doughty60050
2Matt Cullen40050Alec MartinezNick Holden40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Evgeni MalkinMax Pacioretty50014
2Mikael BacklundTanner Pearson50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kris LetangDrew Doughty50014
2Alec MartinezNick Holden50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Logan CoutureEvgeni MalkinMax PaciorettyKris LetangDrew Doughty
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt CullenMikael BacklundJoakim NordstromKris LetangDrew Doughty
Extra Forwards
Normal PowerPlayPenalty Kill
Evgeni Malkin, Logan Couture, Max PaciorettyEvgeni Malkin, Max PaciorettyMatt Cullen
Extra Defensemen
Normal PowerPlayPenalty Kill
Drew Doughty, Kris Letang, Alec MartinezDrew DoughtyDrew Doughty, Alec Martinez
Penalty Shots
Logan Couture, Kris Letang, Evgeni Malkin, Max Pacioretty, Andrew Ladd
Goalie
#1 : Jonathan Quick, #2 : Antti Raanta
Custom OT Lines Forwards
Evgeni Malkin, Max Pacioretty, Logan Couture, Tanner Pearson, Mikael Backlund, Andrew Ladd, Andrew Ladd, Matt Cullen, Patrick Eaves, Lauri Korpikoski, Lee Stempniak
Custom OT Lines Defensemen
Kris Letang, Drew Doughty, Alec Martinez, Nick Holden, Jordie Benn


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
#
VS Team
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
GF%
SH%
SV%
PDO
PDOBRK
1KingsBlues404000001016-600.0001019291024401444439610128608909222.22%40100.00%014427951.61%12522755.07%9017052.94%986886285629
Since Last GM Reset15870000041374160.5334166107101014134485142155173154411943435333824.24%18288.89%014427951.61%12522755.07%9017052.94%362244334116230117
3KingsStars743000001414080.57114223600433422364727215219931616718316.67%9277.78%014427951.61%12522755.07%9017052.94%1731161595811357
Total15870000041374160.5334166107101014134485142155173154411943435333824.24%18288.89%014427951.61%12522755.07%9017052.94%362244334116230117
Vs Conference15870000041374160.5334166107101014134485142155173154411943435333824.24%18288.89%014427951.61%12522755.07%9017052.94%362244334116230117
Vs Division743000001414080.57114223600433422364727215219931616718316.67%9277.78%014427951.61%12522755.07%9017052.94%1731161595811357
7KingsWild440000001771081.0001725420047601183444400944110966350.00%50100.00%014427951.61%12522755.07%9017052.94%905988306031

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1516L141661074854411943435310
All Games
GPWLOTWOTL SOWSOLGFGA
158700004137
Home Games
GPWLOTWOTL SOWSOLGFGA
86200002520
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72500001617
Last 10 Games
WLOTWOTL SOWSOL
063100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
33824.24%18288.89%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
142155173151014134
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
14427951.61%12522755.07%9017052.94%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
362244334116230117


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
Date
Matchup
Result
Detail
Mon, Apr 28Kings@KingsWild3,Kings5RECAP
Wed, Apr 30Kings@KingsWild2,Kings4RECAP
Fri, May 2Kings@KingsKings3,Wild1RECAP
Sun, May 4Kings@KingsKings5,Wild1RECAP
Mon, May 12Kings@KingsStars1,Kings2 (OT)RECAP
Wed, May 14Kings@KingsStars3,Kings4 (OT)RECAP
Fri, May 16Kings@KingsKings1,Stars2RECAP
Sun, May 18Kings@KingsKings1,Stars2RECAP
Tue, May 20Kings@KingsStars1,Kings2 (OT)RECAP
Thu, May 22Kings@KingsKings1,Stars3RECAP
Sat, May 24Kings@KingsStars2,Kings3 (OT)RECAP
Mon, May 26Kings@KingsBlues4,Kings3RECAP
Wed, May 28Kings@KingsBlues4,Kings2RECAP
Fri, May 30Kings@KingsKings1,Blues2 (OT)RECAP
Sun, Jun 1Kings@KingsKings4,Blues6RECAP



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity68853624453018121268
Ticket Price110654533195
Attendance540212769032678121909927
Attendance PCT98.08%95.51%90.17%84.09%97.86%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 17063 - 94.17% 2,151,319$17,210,550$18119100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
65,000,000$ 7,000,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
0$ 0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 50,568,546$ 50,568,546$



Depth Chart

Left WingCenterRight Wing
Max PaciorettyAGE:29PO:0OV:74
Logan CoutureAGE:29PO:0OV:72
Andrew LaddAGE:32PO:0OV:71
Matt CullenAGE:41PO:0OV:70
Patrick EavesAGE:34PO:0OV:70
*Tanner PearsonAGE:25PO:0OV:69
Lauri KorpikoskiAGE:31PO:0OV:66
Joakim NordstromAGE:26PO:0OV:64
Kyle CliffordAGE:27PO:0OV:64
Sergey KalininAGE:27PO:0OV:61
Jordan NolanAGE:28PO:0OV:61
*Ondrej KaseAGE:22PO:0OV:60
Gabriel BourqueAGE:27PO:0OV:58
Brandon BolligAGE:31PO:0OV:57
Tom SestitoAGE:30PO:0OV:55
James WrightAGE:28PO:0OV:55
Kyle HagelAGE:33PO:0OV:54
Josh ShallaAGE:26PO:0OV:44
Evgeni MalkinAGE:31PO:0OV:75
Logan CoutureAGE:29PO:0OV:72
Mikael BacklundAGE:29PO:0OV:71
Matt CullenAGE:41PO:0OV:70
Lauri KorpikoskiAGE:31PO:0OV:66
Jay McClementAGE:35PO:0OV:65
Sergey KalininAGE:27PO:0OV:61
Jordan NolanAGE:28PO:0OV:61
James WrightAGE:28PO:0OV:55
*Eric CornelAGE:22PO:0OV:54
Louis-Marc AubryAGE:26PO:0OV:53
Jeremy GregoireAGE:22PO:0OV:51
Robert CzarnikAGE:28PO:0OV:45
Evgeni MalkinAGE:31PO:0OV:75
Patrick EavesAGE:34PO:0OV:70
Lee StempniakAGE:35PO:0OV:70
Lauri KorpikoskiAGE:31PO:0OV:66
Joakim NordstromAGE:26PO:0OV:64
Sergey KalininAGE:27PO:0OV:61
Jordan NolanAGE:28PO:0OV:61
*Ondrej KaseAGE:22PO:0OV:60
Brandon BolligAGE:31PO:0OV:57
Tom SestitoAGE:30PO:0OV:55
*Josh ArchibaldAGE:25PO:0OV:55
*Eric CornelAGE:22PO:0OV:54
*Reid GardinerAGE:22PO:0OV:52
*Michael PelechAGE:27PO:0OV:46

Defense #1Defense #2Goalie
Drew DoughtyAGE:28PO:0OV:78
Alec MartinezAGE:30PO:0OV:75
Kris LetangAGE:31PO:0OV:75
Nick HoldenAGE:31PO:0OV:74
Jordie BennAGE:30PO:0OV:70
Ben LovejoyAGE:34PO:0OV:69
*Nikita NesterovAGE:25PO:0OV:67
Chris WidemanAGE:28PO:0OV:67
Cameron GaunceAGE:28PO:0OV:63
*Philip LarsenAGE:28PO:0OV:62
Chris ButlerAGE:31PO:0OV:57
John RamageAGE:27PO:0OV:56
Vojtech MozikAGE:25PO:0OV:55
Maxim LamarcheAGE:25PO:0OV:55
Kyle HagelAGE:33PO:0OV:54
Nick TuzzolinoAGE:32PO:0OV:52
*David KolomatisAGE:29PO:0OV:49
Antti RaantaAGE:29PO:0OV:78
Jonathan QuickAGE:32PO:0OV:77
Ville HussoAGE:23PO:0OV:61
John MuseAGE:29PO:0OV:54

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 Name
Draft Year
Overall Pick
Information
Lien
Adam BrodeckiKings2014209
Adam BrooksKings201665
Adam HughesmanKings
Aleksi HeponiemiKings201738
Alexandre GouletKings2014121
Andreas BorgmanKings2017128
Axel HolmstromKings201498
Brent AndrewsKings2011198
Brett SeneyKings2015193
Calle RosenKings2017122
Carlo ColaiacovoKings
Einar EmanuelssonKings2017252
Jake RyczekKings2016200
Jesse LeesKings2013131
Joel LassinanttiKings2016166
Justin AzevedoKings
Kay SchweriKings2015206
Leon BristedtKings2014146
Linus OmarkKings
Louick MarcotteKings2014177
Markus SöbergKings2013172
Michael HouserKings
Nathan NoelKings2015155
Nick SpalingKings
Oleg SosunovKings2017207
Otto MakinenKings2016189
Philippe MyersKings2015176
Pius SuterKings2015210
Saku VesterinenKings2017253
Stepan FalkovskyKings2016170
Thomas NovakKings201561
Vasily GlotovKings201693
Victor MeteKings201666
Vinni LettieriKings2017158
Vitalii AbramovKings201628
Vyacheslav LeshchenkoKings2015233

Draft Picks

Year R1R2R3R4R5R6R7
2018LAK LAK LAK LAK LAK TOR LAK
2019LAK LAK LAK LAK LAK LAK LAK
2020LAK LAK LAK LAK LAK LAK LAK
2021LAK LAK LAK LAK LAK LAK LAK
2022LAK LAK LAK LAK LAK LAK LAK



[27.04.2018 20:51:52] - Monarchs was eliminated at round 3 of year 2017.
[27.04.2018 20:51:52] - Kings was eliminated at round 3 of year 2017.
[17.10.2017 6:02:11] - Saku Vesterinen has been added to Kings.
[17.10.2017 6:01:58] - Einar Emanuelsson has been added to Kings.



[16.05.2018 20:45:11] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[11.05.2018 20:49:44] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[10.05.2018 23:05:02] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[27.04.2018 20:51:48] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[26.04.2018 20:57:27] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[26.04.2018 20:35:12] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[24.04.2018 23:47:54] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[24.04.2018 20:34:48] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[23.04.2018 20:52:53] Last 30 Days Farm Star : 1 - Artturi Lehkonen of Falcons (15-4-19) / 2 - Chris Wideman of Monarchs (12-13-25) / 3 - Nikita Nesterov of Monarchs (12-9-21)
[23.04.2018 20:52:49] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[23.04.2018 20:40:35] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[20.04.2018 20:37:14] Nick Tuzzolino from Monarchs is back from Bruised Right Arm Injury.
[20.04.2018 20:37:14] Last 7 Days Farm Star : 1 - Chris Wideman of Monarchs (5-0-5) / 2 - Jordan Nolan of Monarchs (3-3-6) / 3 - Nikita Nesterov of Monarchs (2-2-4)
[20.04.2018 20:37:09] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[18.04.2018 21:12:52] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[18.04.2018 20:55:39] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[16.04.2018 21:01:37] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[16.04.2018 20:47:51] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[13.04.2018 21:14:26] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[13.04.2018 21:02:55] Last 7 Days Farm Star : 1 - Artturi Lehkonen of Falcons (7-2-9) / 2 - Chris Wideman of Monarchs (5-6-11) / 3 - Nikita Nesterov of Monarchs (4-4-8)
[13.04.2018 21:02:49] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[12.04.2018 21:16:11] Game 68 - Nick Tuzzolino from Monarchs is injured (Bruised Right Arm) and is out for 2 weeks.
[12.04.2018 21:16:04] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[12.04.2018 20:31:02] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[10.04.2018 20:46:35] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[10.04.2018 20:35:05] Josh Archibald from Monarchs is back from Sprained Left Knee Injury.
[10.04.2018 20:34:56] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[09.04.2018 21:23:54] Chris Wideman from Monarchs has scored a Hat Trick!
[09.04.2018 21:23:54] Nikita Nesterov from Monarchs has scored a Hat Trick!
[09.04.2018 21:20:42] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[09.04.2018 21:05:00] Tom Sestito from Monarchs is back from Strained Right Elbow Injury.
[06.04.2018 20:32:57] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[04.04.2018 20:45:03] James Wright from Monarchs is back from Upper Body Injury.
[04.04.2018 20:45:03] Game 48 - James Wright from Monarchs is injured (Upper Body) and is out for 1 days.
[04.04.2018 20:45:03] Game 48 - Tom Sestito from Monarchs is injured (Strained Right Elbow) and is out for 1 week.
[04.04.2018 20:44:54] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[04.04.2018 20:31:00] Vojtech Mozik from Monarchs is back from Sore Left Knee Injury.
[04.04.2018 20:30:56] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[02.04.2018 20:58:33] Game 40 - Josh Archibald from Monarchs is injured (Sprained Left Knee) and is out for 2 weeks.
[02.04.2018 20:58:24] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[02.04.2018 20:53:05] Successfully loaded Kings lines done with STHS Client - 3.1.2.2
[30.03.2018 21:53:23] Kris Letang from Kings is back from Right Hand Injury.
[30.03.2018 21:53:23] Game 32 - Vojtech Mozik from Monarchs is injured (Sore Left Knee) and is out for 1 week.
[30.03.2018 21:53:23] Game 31 - Kris Letang from Kings is injured (Right Hand) and is out for 1 days.



No Injury or Suspension.


Overall
Home
Visitor
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
2017825512055323761911854133301130203911124122904402173100731103765979732115899111102667967870815322473101633118461555535.48%1582782.91%10758153149.51%730138152.86%558109950.77%1879124918676271216612
Total Regular Season825512055323761911854133301130203911124122904402173100731103765979732115899111102667967870815322473101633118461555535.48%1582782.91%10758153149.51%730138152.86%558109950.77%1879124918676271216612
2017158700000413748620000025205725000001617-1164166107101014134485142155173154411943435333824.24%18288.89%014427951.61%12522755.07%9017052.94%362244334116230117
Total Playoff158700000413748620000025205725000001617-1164166107101014134485142155173154411943435333824.24%18288.89%014427951.61%12522755.07%9017052.94%362244334116230117