Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Kings
0-1-0, 0pts
Day 3
Stars
0-0-0, 0pts
Team Stats
L1StreakN/A
0-0-0Home Record0-0-0
0-1-0Away Record0-0-0
0-1-0Last 10 Games0-0-0
3.00Goals Per Game0
5.00Goals Against Per Game0
28.57%Power Play Percentage0%
75.00%Penalty Kill Percentage0%
Stars
0-0-0, 0pts
Day 5
Avalanche
0-1-0, 0pts
Team Stats
N/AStreakL1
0-0-0Home Record0-1-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-1-0
0Goals Per Game2.00
0Goals Against Per Game4.00
0%Power Play Percentage0.00%
0%Penalty Kill Percentage66.67%
Stars
0-0-0, 0pts
Day 6
Panthers
2-0-0, 4pts
Team Stats
N/AStreakSOW1
0-0-0Home Record1-0-0
0-0-0Away Record1-0-0
0-0-0Last 10 Games2-0-0
0Goals Per Game3.50
0Goals Against Per Game2.00
0%Power Play Percentage30.00%
0%Penalty Kill Percentage100.00%
Team Leaders

Team Stats
Injury / Suspension
No Injury or Suspension.
Team Info
General Manager
CoachDon Granato
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2
Uniforms
Arena Info
NameCoors Light Field
Capacity25,000
Attendance
Season Tickets10,000
Roster Info
Pro Team18
Farm Team19
Contract Limit37 / 70
Prospects27
Salary Cap
Estimated Season Salary Cap0$
Available Salary Cap85,000,000$
Special Salary Cap Value0$
Players In Salary Cap18
Finance
Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account87,515,342$
Projected Bank Account87,515,342$
Team History
This Season0-0-0 (0PTS)
History735-691-130 (0.472%)
Playoff Appearances10
Playoff Record (W-L)29-44
Stanley Cup0


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
1Adrian KempeX100.0074507192658696854090808385808350207902827,000,000$
2Blake ColemanX100.0078527188598396734065829665908725207603325,000,000$
3Jared McCannX100.0053508289598298778374807763808150207402814,000,000$
4Kyle ConnorX100.0045458892558787834074936273808450207402829,000,000$
5Scott LaughtonX100.0084507383598199658466638140848340207103013,000,000$
6Kirby DachX100.0061597583756050727374707799706575206802314,000,000$
7Gustav ForslingX100.0073507985598797684070669540808450207702825,000,000$
8Ryan PulockX100.0080548678738783604060618340848640207303027,000,000$
9Jake SandersonX100.005554848267899767406966854068798020730222925,000$
10Damon SeversonX100.0056547581668589654063678076848540207203015,500,000$
11Kaiden GuhleX100.007957747868849160405961824068768020720222925,000$
12Samuel GirardX100.0070398783428283594061568040767960206902635,000,000$
Scratches
1William NylanderX100.0049498497628899948298907858808450208202821$
2Owen TippettX100.0084528786688296734066797140747865207202556,000,000$
3Quinton ByfieldX100.0059608082848298738176717265687580207202266,000,000$
4Kirill MaksimovX100.0046668875646050334025405090746765204902511,120,000$
Farm Team
1Connor ZaryX100.005143838650808667796668704070757520670231925,000$
2Brendan BrissonX100.006046878557755367407361604070737520640232925,000$
3Braden SchneiderX100.008854867673769956405458774070737520700231925,000$
4Tim GettingerX100.0088638375836454444039485960767060205702611,100,000$
5Tyler MaddenX100.0050458576448070454042476965747765205702511,100,000$
6Justin RichardsX100.006445807554675736703340574076726020520261825,000$
7German RubtsovX100.0046469075566050327028365040766860204802611,430,000$
8Urho VaakanainenX100.0059508276657989544056527640747765206702511,240,000$
9Jacob Bernard-DockerX100.0060498378567692544051577740727470206602411,500,000$
10Matthew KesselX100.006452847568777053405353774072757020660241825,000$
11Pierre-Olivier JosephX100.0061478577587579544054557040747565206402511,375,000$
12Josh MahuraX100.0071477780587164574065506540767460206402611,500,000$
13Jamie DrysdaleX100.0058448582528266594057616140687580206302213,750,000$
14Cam DineenX100.0055448475546257444048415840766960205702611,240,000$
15Jared McIsaacX100.0071608675625550364036365740726470205602411,017,500$
TEAM AVERAGE100.00645182816277796050606172527576622067
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
1Jordan Binnington100.009199998386817978818792868435208203136,000,000$
2Casey DeSmith100.008665678265677068687086907925207103322,000,000$
Scratches
Farm Team
1Mackenzie Blackwood100.007984869967716565716986807650207302823,000,000$
2Cayden Primeau100.008958609385777981788091747665207702511,210,000$
3Olivier Rodrigue100.008165697855575657565560726570206102411,017,500$
4Drew Commesso (R)100.00876670855857525150565068638020610222750,000$
TEAM AVERAGE100.0086737587696867676770787874542071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato79897777865058USA5743,000,000$


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
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


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Adrian KempeStarsRW281996-09-13No200 Lbs6 ft2NoNoYes2Pro Only7,000,000$7,000,000$7,000,000$No7,000,000$
UFA
Link / NHL Link
Blake ColemanStarsC331991-11-28No199 Lbs5 ft11NoNoYes2Pro Only5,000,000$5,000,000$5,000,000$No5,000,000$
UFA
Link / NHL Link
Casey DeSmithStarsG331991-08-13No180 Lbs6 ft0YesNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$No2,000,000$
UFA
Link / NHL Link
Damon SeversonStarsD301994-08-07No202 Lbs6 ft2NoNoYes1Pro Only5,500,000$5,500,000$5,500,000$No
UFA
Link / NHL Link
Gustav ForslingStarsD281996-06-12No195 Lbs6 ft0NoNoYes2Pro Only5,000,000$5,000,000$5,000,000$No5,000,000$
UFA
Link / NHL Link
Jake SandersonStarsD222002-07-08No203 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$925,000$No925,000$
RFA
Link / NHL Link
Jared McCannStarsLW281996-05-31No191 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$4,000,000$4,000,000$No
UFA
Link / NHL Link
Jordan BinningtonStarsG311993-07-11No173 Lbs6 ft1NoNoYes3Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$
UFA
Link / NHL Link
Kaiden GuhleStarsD222002-01-18No201 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$925,000$No925,000$
RFA
Link / NHL Link
Kirby DachStarsC232001-01-21No212 Lbs6 ft4NoNoYes1Pro & Farm4,000,000$4,000,000$4,000,000$No
RFA
Link / NHL Link
Kirill MaksimovStarsRW251999-06-01No194 Lbs6 ft3NoNoNo1Pro & Farm1,120,000$1,120,000$1,120,000$No
RFA
Link / NHL Link
Kyle ConnorStarsLW281996-12-09No183 Lbs6 ft1NoNoYes2Pro Only9,000,000$9,000,000$9,000,000$No9,000,000$
UFA
Link / NHL Link
Owen TippettStarsRW251999-02-16No210 Lbs6 ft1NoNoYes5Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Quinton ByfieldStarsRW222002-08-19No225 Lbs6 ft5NoNoNo6Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$
RFA
Link / NHL Link
Ryan PulockStarsD301994-10-06No216 Lbs6 ft2NoNoYes2Pro Only7,000,000$7,000,000$7,000,000$No7,000,000$
UFA
Link / NHL Link
Samuel GirardStarsD261998-05-12No170 Lbs5 ft10NoNoYes3Pro Only5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$
UFA
Link / NHL Link
Scott LaughtonStarsC301994-05-30No191 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$3,000,000$3,000,000$No
UFA
Link / NHL Link
William NylanderStarsRW281996-05-01No202 Lbs6 ft0YesNoYes2Pro Only1$1$1$No9,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1827.33197 Lbs6 ft12.224,303,889$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
77,470,001$69,350,000$23,000,000$12,000,000$12,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorKirby Dach40122
2Jared McCannAdrian Kempe30122
3Blake Coleman20122
4Scott Laughton10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav Forsling40122
2Ryan PulockSamuel Girard30122
3Jake SandersonDamon Severson20122
4Kaiden GuhleGustav Forsling10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorKirby Dach60122
2Jared McCannAdrian Kempe40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav Forsling60122
2Ryan PulockSamuel Girard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adrian Kempe60122
2Kyle ConnorJared McCann40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav Forsling60122
2Ryan PulockSamuel Girard40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Gustav Forsling60122
2Adrian Kempe40122Ryan PulockSamuel Girard40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adrian Kempe60122
2Kyle ConnorJared McCann40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav Forsling60122
2Ryan PulockSamuel Girard40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kyle ConnorKirby DachGustav Forsling
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kyle ConnorKirby DachGustav Forsling
Extra Forwards
Normal PowerPlayPenalty Kill
, Scott Laughton, , Scott Laughton
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Sanderson, Damon Severson, Kaiden GuhleJake SandersonDamon Severson, Kaiden Guhle
Penalty Shots
, Adrian Kempe, Kyle Connor, Jared McCann,
Goalie
#1 : Jordan Binnington, #2 : Casey DeSmith


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
318Kings-Stars-
529Stars-Avalanche-
637Stars-Panthers-
851RedWings-Stars-
1283Avalanche-Stars-
Trade Deadline --- Trades can’t be done after this day is simulated!
1385Panthers-Stars-


Depth Chart
Left WingCenterRight Wing
Jared McCann
Jared McCann
AGE:28
SK:89
EN:82
DU:98
PH:77
PA:74
SC:80
DF:77
Kyle Connor
Kyle Connor
AGE:28
SK:92
EN:87
DU:87
PH:83
PA:74
SC:93
DF:62
Tyler Madden
Tyler Madden
AGE:25
SK:76
EN:80
DU:70
PH:45
PA:42
SC:47
DF:69
Tim Gettinger
Tim Gettinger
AGE:26
SK:75
EN:64
DU:54
PH:44
PA:39
SC:48
DF:59
Blake Coleman
Blake Coleman
AGE:33
SK:88
EN:83
DU:96
PH:73
PA:65
SC:82
DF:96
Scott Laughton
Scott Laughton
AGE:30
SK:83
EN:81
DU:99
PH:65
PA:66
SC:63
DF:81
Kirby Dach
Kirby Dach
AGE:23
SK:83
EN:60
DU:50
PH:72
PA:74
SC:70
DF:77
Connor Zary
Connor Zary
AGE:23
SK:86
EN:80
DU:86
PH:67
PA:66
SC:68
DF:70
Brendan Brisson
Brendan Brisson
AGE:23
SK:85
EN:75
DU:53
PH:67
PA:73
SC:61
DF:60
Justin Richards
Justin Richards
AGE:26
SK:75
EN:67
DU:57
PH:36
PA:33
SC:40
DF:57
German Rubtsov
German Rubtsov
AGE:26
SK:75
EN:60
DU:50
PH:32
PA:28
SC:36
DF:50
William Nylander
William Nylander
AGE:28
SK:97
EN:88
DU:99
PH:94
PA:98
SC:90
DF:78
Adrian Kempe
Adrian Kempe
AGE:28
SK:92
EN:86
DU:96
PH:85
PA:90
SC:80
DF:83
Quinton Byfield
Quinton Byfield
AGE:22
SK:82
EN:82
DU:98
PH:73
PA:76
SC:71
DF:72
Owen Tippett
Owen Tippett
AGE:25
SK:86
EN:82
DU:96
PH:73
PA:66
SC:79
DF:71
Kirill Maksimov
Kirill Maksimov
AGE:25
SK:75
EN:60
DU:50
PH:33
PA:25
SC:40
DF:50

Defense #1Defense #2Goalie
Gustav Forsling
Gustav Forsling
AGE:28
SK:85
EN:87
DU:97
PH:68
PA:70
SC:66
DF:95
Jake Sanderson
Jake Sanderson
AGE:22
SK:82
EN:89
DU:97
PH:67
PA:69
SC:66
DF:85
Ryan Pulock
Ryan Pulock
AGE:30
SK:78
EN:87
DU:83
PH:60
PA:60
SC:61
DF:83
Kaiden Guhle
Kaiden Guhle
AGE:22
SK:78
EN:84
DU:91
PH:60
PA:59
SC:61
DF:82
Damon Severson
Damon Severson
AGE:30
SK:81
EN:85
DU:89
PH:65
PA:63
SC:67
DF:80
Braden Schneider
Braden Schneider
AGE:23
SK:76
EN:76
DU:99
PH:56
PA:54
SC:58
DF:77
Samuel Girard
Samuel Girard
AGE:26
SK:83
EN:82
DU:83
PH:59
PA:61
SC:56
DF:80
Urho Vaakanainen
Urho Vaakanainen
AGE:25
SK:76
EN:79
DU:89
PH:54
PA:56
SC:52
DF:76
Jacob Bernard-Docker
Jacob Bernard-Docker
AGE:24
SK:78
EN:76
DU:92
PH:54
PA:51
SC:57
DF:77
Matthew Kessel
Matthew Kessel
AGE:24
SK:75
EN:77
DU:70
PH:53
PA:53
SC:53
DF:77
Pierre-Olivier Joseph
Pierre-Olivier Joseph
AGE:25
SK:77
EN:75
DU:79
PH:54
PA:54
SC:55
DF:70
Josh Mahura
Josh Mahura
AGE:26
SK:80
EN:71
DU:64
PH:57
PA:65
SC:50
DF:65
Jamie Drysdale
Jamie Drysdale
AGE:22
SK:82
EN:82
DU:66
PH:59
PA:57
SC:61
DF:61
Cam Dineen
Cam Dineen
AGE:26
SK:75
EN:62
DU:57
PH:44
PA:48
SC:41
DF:58
Jared McIsaac
Jared McIsaac
AGE:24
SK:75
EN:55
DU:50
PH:36
PA:36
SC:36
DF:57
Jordan Binnington
Jordan Binnington
AGE:31
SK:91
AG:86
RB:81
SC:79
HS:78
RT:81
DF:87
Cayden Primeau
Cayden Primeau
AGE:25
SK:89
AG:85
RB:77
SC:79
HS:81
RT:78
DF:80
Mackenzie Blackwood
Mackenzie Blackwood
AGE:28
SK:79
AG:67
RB:71
SC:65
HS:65
RT:71
DF:69
Casey DeSmith
Casey DeSmith
AGE:33
SK:86
AG:65
RB:67
SC:70
HS:68
RT:68
DF:70
Drew Commesso (R)
Drew Commesso
AGE:22
SK:87
AG:58
RB:57
SC:52
HS:51
RT:50
DF:56
Olivier Rodrigue
Olivier Rodrigue
AGE:24
SK:81
AG:55
RB:57
SC:56
HS:57
RT:56
DF:55
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
Ales CechStars2038169
Ben DanfordStars203847
Brady ClevelandStars203778
Cameron LundStars203648
Carter BergerStars2033137
Carter YakemchukStars203814
Daimon GardnerStars2036141
Dominic JamesStars2036203
EJ EmeryStars203845
Easton CowanStars203741
Eemeli RasanenStars203169
Garrett BrownStars2036110
Hampton SlukynskyStars2037109
Jacob JulienStars2037171
Luke TuchStars203438
Maxim MayorovStars2036172
Maxwell GildonStars203199
Mikhail YegorovStars203876
Olof GliffordStars2037202
Ondrej KosStars2038107
Roman BychkovStars2033197
Santeri VirtanenStars2031129
Theo LindsteinStars203747
Tory PitnerStars2038200
Trevor JanickeStars2033167
Victor JohanssonStars2038138
Vilmer AlrikssonStars2037140

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2039
2040
2041



Stars 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
1Boyd Gordon1356198340538-56100814971544191310.35%8212113115.58335790159551039291344.96%20.5128
2Matt Moulson474200225425-1206511744173811.51%1531011021.33567012634545935341132.21%50.84945
3Dustin Byfuglien45590302392-401070139669511717.69%5821146525.2054961505432351612110.00%00.6800
4Jussi Jokinen548123269392-3683214142612539.82%921146020.913612916537503335181154.78%00.68722
5Keith Yandle49272301373-822934617678638.34%5891228324.975412217665914581240.00%10.6100

Stars Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Ilja Bryzgalov253108110200.8973.2014268635761742201230.70872
2Mackenzie Blackwood22610786210.8943.4212648353721678601020.73271
3Marc-Andre Fleury1849770140.9012.941091316653553870860.766128
4Jonathan Bernier1717767100.9033.07959916649150580730.70454
5Ryan Miller1597271160.9063.059558814865168204110120.71062

Stars 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
201782334103212277288-1141132302111119145-2641201801101158143157427746474101067105101268508528809432668845117117482665821.80%2525080.16%41013203849.71%984194850.51%730144950.38%174399918948271475729
2018823034022104248261-13411813020621281141441122100242120147-276624839664412061105702778086910018722726864116119002082913.94%2223783.33%8843211239.91%857214539.95%553145238.09%166793318397641493726
201982382808161287241464119160212114312815411912060401441133193287471758510771009628910981966906271887596817782364318.22%1712187.72%1925220042.05%918211643.38%509129839.21%1738102017977501442704
202082194604337236283-474192602022127145-1841102002315109138-2949236388624800647689274709009428792738904110618562093315.79%2515777.29%5876222039.46%896218241.06%508129539.23%168794418057541485730
202182323502733242254-1241141901412112126-144118160132113012827524243367522092648123930788819763239473786516864488619.20%3806981.84%31542292452.74%1426287349.63%648127550.82%2035141619146071023516
2022823934052202612471441211603100136128841181802120125119690261462723240928874268408479238962509722963171647110321.87%3857680.26%31693318053.24%1502297250.54%632126050.16%2050143618826021008515
2023823032061762742704411713041421471262141131902034127144-1773274475749120947790243908377867902678813112918234349521.89%4819979.42%31361288747.14%1416315944.82%613131146.76%1935131920326241030508
202482264502243213280-674110240211398144-4641162100130115136-216921337458702083735123540756831750265677298818134106515.85%4228978.91%31301289244.99%1368305944.72%614127548.16%1959135419976101005498
202582413102314295287841191501114146150-441221601200149137129529551581001010810084258608579068062557704810167245611324.78%3678676.57%41577295753.33%1438285650.35%707136351.87%2069145418695931018521
202682214801435229316-874192600204111160-4941122201231118156-385922941564443097636524510821807804282783092216524158320.00%3729075.81%31454288750.36%1419307046.22%661131250.38%1913132120376101014502
202782283702546215251-36411914022221231212419230032492130-387921537158623068825923040718771793260375488217064407617.27%3677380.11%11392279449.82%1433308846.41%649124852.00%1895129420516231031507
203082244005436218260-4241131904113119131-124111210132399129-307421837859611081597023410777790741264781293317594378419.22%4118978.35%41407289048.69%1413318544.36%580129244.89%1877126220786331037504
203182333702145241258-1741181601132125121441152101013116137-2184241430671010106656424740804840814256473689117334218219.48%3668776.23%11499297850.34%1418297047.74%655131149.96%1979136819646131026510
2032822733021145249250-141181201163137120174192101082112130-1892249433682420109665823440807758741266576786816624047518.56%3645983.79%41402277750.49%1572316249.72%658132249.77%2008138719666231047524
203382303502447278295-17411816011141381271141121901333140168-2883278495773210977996270709138828802663809100817744138420.34%4069476.85%21531307949.72%1460307947.42%705137051.46%1919130720186261050521
203482382602745313280334120130061116815216411813021341451281710031355286502011410489299609869979652695718968187843210123.38%4037182.38%51636329249.70%1360304044.74%629139645.06%1965134519776151039520
20358241360022130128417412513002101631253841162300011138159-2189301537838100113998725670870803885261679994917894088821.57%3938079.64%21312295244.44%1262298042.35%539136339.55%1961136119666021015508
203682403502212312325-1341191701112156159-341211801100156166-109031255686801011611479289009191019931261772697017713937418.83%3879076.74%81614313851.43%1303277946.89%657138647.40%1979137119326021036519
203782323804512338330841152001212157161-441171803300181169128133861495231135113857293298796694645255375691718484519921.95%39110273.91%51457308547.23%1239275644.96%651140946.20%1995139519355941027522
Total Regular Season155860269105658777450275260-23377931433103029354025532583-3077928836002629423424742677-20315155027875913786363013517521604141049563987162681666715204500941494318469335647352147120.01%6791141979.10%69258355328248.49%246845341946.21%118982538746.87%363812429536963122812131010594
Playoff
2019137600000463214624000001817175200000281513144676122000111915464015816313642714020429034720.59%31196.77%016636046.11%12631440.13%6120030.50%276160284117228110
20227340000027270321000001394413000001418-4627527900081092350699076249847613638615.79%32487.50%012929643.58%12927646.74%6112648.41%174119157498845
202340400000719-122020000059-420200000210-807142100041295036302917944739719315.79%34779.41%05712246.72%8318943.92%216233.87%8456109304521
2025734000001826-8321000001011-141300000815-7618314900065718605868602266510017224312.50%36975.00%010923945.61%12825650.00%5411049.09%158106174518742
203140400000918-92020000057-220200000411-709152400034280017323115146639215320.00%22481.82%04411338.94%7016243.21%396956.52%8051109314923
2032624000001822-43120000078-1312000001114-341831491006481580584654188385312640410.00%25484.00%09819450.52%11020852.88%439744.33%148102133457839
2033624000002124-330300000811-33210000013130421355600074101770644367219557612228725.00%33778.79%111521553.49%9723241.81%4310441.35%13692149467837
203415960000058526624000002125-4972000003727101858981560102220165940178188188492158163340862023.26%781580.77%126962942.77%25257543.83%13928648.60%37625639712220699
2035734000002532-7312000001217-5422000001315-262544690008982260717679257727318032721.88%29872.41%09227133.95%9226035.38%5612046.67%157105177508542
2036404000001321-820200000610-420200000711-40132235100445155051545012947348621523.81%17758.82%06917439.66%6813351.13%397552.00%966694274824
Total Playoff73294400000242273-3133102300000105124-1940192100000137149-125824241866021079808223700760790770251774991516413376519.29%3376680.42%21148261343.93%1155260544.34%556124944.52%168811171787574998488

Stars 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
1Kyle Connor3224234735106416614.46%1378424.5269154420273124.34%11.2000
2William Nylander321319322294512110.74%364920.3169154200004043.86%00.9800
3Alex Killorn38102131-132049621267.94%1678720.72111123200021134.43%00.7900
4Matt Moulson241317309728469313.98%1048920.393471800000134.74%11.2300
5Shea Theodore2872128-74945739.59%4576127.206713440002200.00%00.7400

Stars Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mackenzie Blackwood2713940.8883.60158321958510510.0000
2Ryan Miller137510.9252.457850032427189100.0000
3Ilja Bryzgalov93500.8963.84500150323090100.0000
4Mark Dekanich63300.8903.5635420211910100.0000
5Marc-Andre Fleury72410.8714.0638420262010010.0000