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Team Leaders

Team Stats
Injury / Suspension
No Injury or Suspension.
Team Info
General ManagerMaxime Barabe
CoachTodd McLellan
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2
Uniforms
Arena Info
NameAnheuser-Busch Center
Capacity25,000
Attendance
Season Tickets10,000
Roster Info
Pro Team21
Farm Team17
Contract Limit38 / 50
Prospects0
Salary Cap
Estimated Season Salary Cap0$
Available Salary Cap90,000,000$
Special Salary Cap Value0$
Players In Salary Cap13
Finance
Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account298,276,044$
Projected Bank Account298,276,044$
Team History
This Season0-0-0 (0PTS)
History836-748-145 (0.484%)
Playoff Appearances11
Playoff Record (W-L)76-60
Stanley Cup1


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PriorityTypeDescription
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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
1Brad MarchandX100.005640759745847988408393636499920207703718,750,000$
2Zach HymanX100.0063518090668883824070947240929020207603327,000,000$
3Boone JennerX100.0091577783678289688871667960908625207303235,000,000$
4Taylor HallX100.0056527984687998704071686664948715207003423,750,000$
5Nic DowdX100.0084527177637994568457557673968810206703542,200,000$
6Keegan KolesarX100.0099667775737499544051566840827845206502800$
7Lars EllerX100.005752867669748954895256717398865206503600$
8William CarrierX100.0098548576727291564053586740888030206503122,350,000$
9Warren FoegeleX100.0065528576687789554045666340848140206302900$
10Ivan ProvorovX100.0048558280759199634062648240828745207302846,000,000$
11Louis CrevierX100.0077667475917896604059618290747665207302400$
12Kristopher LetangX100.007048808361869465407455707199930207203815,500,000$
13John MarinoX100.0048498682638498644073568240828345207202833,900,000$
14Darnell NurseX100.0079666576778499594057617740868535207203000$
15Radko GudasX100.0099686678657781554056547740968710207103544,000,000$
16Christopher TanevX100.004451907567795152405550964098895206903624,400,000$
Scratches
1Sam ReinhartX100.0062488792619087847381878081868835207803027,200,000$
2Nick SchmaltzX100.0047448393538799828181838277848640207702946,375,000$
3Jimmy VeseyX100.0057519075676050534046505270907525205603200$
Farm Team
1Nick CousinsX100.008950678055749857405459686990822520650321850,000$
2Conor ShearyX100.004839858243788557405559766592852020640331900,000$
3Filip Bystedt (R)X100.007756837972746463406858634068718020640212925,000$
4Michael EyssimontX100.0063517980597381584055626440847940206302911,250,000$
5Drake CaggiulaX100.0062406882516050594057526090887430205903100$
6Jakub VranaX100.0051488581606050604051605776847240205902900$
7Nils AmanX100.0067458478556454567070395957767060205902500$
8Rasmus KupariX100.0071518575666050518844575540766860205702500$
9Hugh McGingX100.0050717276437565444044456040807850205502711,750,000$
10Lukas RousekX100.004840787660605049406038514078695520540261750,000$
11Jasper WeatherbyX100.0064587875776050417036455540807050205302700$
12Troy StecherX100.0051428480498287554054567740888530206703111,750,000$
13Jacob BrysonX100.0047408679446877524050556340827545206102800$
14Calvin deHaanX100.0075478576595550524054505540947515206003400$
15Jett WooX100.0074494775645550354035365099766660205402500$
16William DufourX100.0047457075736050414039435040726670205102300$
TEAM AVERAGE100.00655179806374765949585868558680352065
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
1Ilya Sorokin100.009297998988878891909085868735208703000$
2Ilya Samsonov100.008250609350505050505084826645205902800$
Scratches
Farm Team
1Landon Bow100.007550609650505050505083866835205903000$
TEAM AVERAGE100.0083667393636263646363848574382068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd McLellan71807895947352CAN5923,000,000$


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 2040 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2041 204220432044204520462047Salary Year 9Salary Year 10Link
Boone JennerBluesC321993-06-15No204 Lbs6 ft2NoNoYes3Pro Only5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$
UFA
Link / NHL Link
Brad MarchandBluesLW371988-05-11No180 Lbs5 ft9NoNoYes1Pro Only8,750,000$8,750,000$8,750,000$No
UFA
Link / NHL Link
Christopher TanevBluesD361989-12-20No200 Lbs6 ft3NoNoYes2Pro & Farm4,400,000$4,400,000$4,400,000$No4,400,000$
UFA
Link / NHL Link
Darnell NurseBluesD301995-02-04No215 Lbs6 ft4NoNoYes0Pro Only
UFA
0$0$NoLink / NHL Link
Ilya SamsonovBluesG281997-02-22No200 Lbs6 ft3NoNoYes0Pro & Farm
UFA
0$0$NoLink / NHL Link
Ilya SorokinBluesG301995-08-04No190 Lbs6 ft3NoNoYes0Pro Only
UFA
0$0$NoLink / NHL Link
Ivan ProvorovBluesD281997-01-13No224 Lbs6 ft1NoNoYes4Pro Only6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Jimmy VeseyBluesRW321993-05-26No203 Lbs6 ft2NoNoYes0Pro & Farm
UFA
0$0$NoLink / NHL Link
John MarinoBluesD281997-05-21No200 Lbs6 ft1NoNoYes3Pro & Farm3,900,000$3,900,000$3,900,000$No3,900,000$3,900,000$
UFA
Link / NHL Link
Keegan KolesarBluesRW281997-04-08No216 Lbs6 ft2NoNoNo0Pro & Farm
UFA
0$0$NoLink / NHL Link
Kristopher LetangBluesD381987-04-24No199 Lbs6 ft0NoNoYes1Pro Only5,500,000$5,500,000$5,500,000$No
UFA
Link / NHL Link
Lars EllerBluesC361989-05-08No207 Lbs6 ft2NoNoYes0Pro & Farm
UFA
0$0$NoLink / NHL Link
Louis CrevierBluesD242001-05-04No228 Lbs6 ft8NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Nic DowdBluesC351990-05-27No195 Lbs6 ft2YesNoYes4Pro & Farm2,200,000$2,200,000$2,200,000$No2,200,000$2,200,000$2,200,000$
UFA
Link / NHL Link
Nick SchmaltzBluesC291996-02-23No184 Lbs6 ft0NoNoYes4Pro Only6,375,000$6,375,000$6,375,000$No6,375,000$6,375,000$6,375,000$
UFA
Link / NHL Link
Radko GudasBluesD351990-06-05No208 Lbs6 ft0YesNoYes4Pro & Farm4,000,000$4,000,000$4,000,000$No4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Sam ReinhartBluesC301995-11-06No196 Lbs6 ft1NoNoYes2Pro Only7,200,000$7,200,000$7,200,000$No7,200,000$
UFA
Link / NHL Link
Taylor HallBluesLW341991-11-14No210 Lbs6 ft1NoNoYes2Pro & Farm3,750,000$3,750,000$3,750,000$No3,750,000$
UFA
Link / NHL Link
Warren FoegeleBluesLW291996-04-01No205 Lbs6 ft2NoNoYes0Pro & Farm
UFA
0$0$NoLink / NHL Link
William CarrierBluesLW311994-12-20No214 Lbs6 ft2NoNoYes2Pro & Farm2,350,000$2,350,000$2,350,000$No2,350,000$
UFA
Link / NHL Link
Zach HymanBluesLW331992-06-09No206 Lbs6 ft1NoNoYes2Pro Only7,000,000$7,000,000$7,000,000$No7,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2131.57204 Lbs6 ft21.623,163,095$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
66,425,000$52,175,000$27,475,000$18,575,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandWarren Foegele40122
2Zach HymanBoone JennerTaylor Hall30122
3Nic DowdKeegan Kolesar20122
4William CarrierLars Eller10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang40122
2Ivan ProvorovRadko Gudas30122
3Christopher TanevLouis Crevier20122
4John MarinoDarnell Nurse10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandWarren Foegele60122
2Zach HymanBoone JennerTaylor Hall40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Boone Jenner60122
2Brad MarchandWarren Foegele40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Darnell NurseKristopher Letang60122
2Boone Jenner40122Ivan ProvorovRadko Gudas40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Boone Jenner60122
2Brad MarchandWarren Foegele40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brad MarchandWarren FoegeleDarnell NurseKristopher Letang
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brad MarchandWarren FoegeleDarnell NurseKristopher Letang
Extra Forwards
Normal PowerPlayPenalty Kill
Nic Dowd, , Keegan KolesarNic Dowd, Keegan Kolesar
Extra Defensemen
Normal PowerPlayPenalty Kill
Christopher Tanev, Louis Crevier, John MarinoChristopher TanevLouis Crevier, John Marino
Penalty Shots
, Boone Jenner, Brad Marchand, Warren Foegele, Zach Hyman
Goalie
#1 : Ilya Sorokin, #2 : Ilya Samsonov


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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.
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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
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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


Depth Chart
Left WingCenterRight Wing
Brad Marchand
Brad Marchand
AGE:37
SK:97
EN:84
DU:79
PH:88
PA:83
SC:93
DF:63
Zach Hyman
Zach Hyman
AGE:33
SK:90
EN:88
DU:83
PH:82
PA:70
SC:94
DF:72
Taylor Hall
Taylor Hall
AGE:34
SK:84
EN:79
DU:98
PH:70
PA:71
SC:68
DF:66
William Carrier
William Carrier
AGE:31
SK:76
EN:72
DU:91
PH:56
PA:53
SC:58
DF:67
Filip Bystedt (R)
Filip Bystedt
AGE:21
SK:79
EN:74
DU:64
PH:63
PA:68
SC:58
DF:63
Conor Sheary
Conor Sheary
AGE:33
SK:82
EN:78
DU:85
PH:57
PA:55
SC:59
DF:76
Warren Foegele
Warren Foegele
AGE:29
SK:76
EN:77
DU:89
PH:55
PA:45
SC:66
DF:63
Jakub Vrana
Jakub Vrana
AGE:29
SK:81
EN:60
DU:50
PH:60
PA:51
SC:60
DF:57
Drake Caggiula
Drake Caggiula
AGE:31
SK:82
EN:60
DU:50
PH:59
PA:57
SC:52
DF:60
Hugh McGing
Hugh McGing
AGE:27
SK:76
EN:75
DU:65
PH:44
PA:44
SC:45
DF:60
William Dufour
William Dufour
AGE:23
SK:75
EN:60
DU:50
PH:41
PA:39
SC:43
DF:50
Sam Reinhart
Sam Reinhart
AGE:30
SK:92
EN:90
DU:87
PH:84
PA:81
SC:87
DF:80
Nick Schmaltz
Nick Schmaltz
AGE:29
SK:93
EN:87
DU:99
PH:82
PA:81
SC:83
DF:82
Boone Jenner
Boone Jenner
AGE:32
SK:83
EN:82
DU:89
PH:68
PA:71
SC:66
DF:79
Nic Dowd
Nic Dowd
AGE:35
SK:77
EN:79
DU:94
PH:56
PA:57
SC:55
DF:76
Nick Cousins
Nick Cousins
AGE:32
SK:80
EN:74
DU:98
PH:57
PA:54
SC:59
DF:68
Lars Eller
Lars Eller
AGE:36
SK:76
EN:74
DU:89
PH:54
PA:52
SC:56
DF:71
Michael Eyssimont
Michael Eyssimont
AGE:29
SK:80
EN:73
DU:81
PH:58
PA:55
SC:62
DF:64
Nils Aman
Nils Aman
AGE:25
SK:78
EN:64
DU:54
PH:56
PA:70
SC:39
DF:59
Rasmus Kupari
Rasmus Kupari
AGE:25
SK:75
EN:60
DU:50
PH:51
PA:44
SC:57
DF:55
Jasper Weatherby
Jasper Weatherby
AGE:27
SK:75
EN:60
DU:50
PH:41
PA:36
SC:45
DF:55
Keegan Kolesar
Keegan Kolesar
AGE:28
SK:75
EN:74
DU:99
PH:54
PA:51
SC:56
DF:68
Jimmy Vesey
Jimmy Vesey
AGE:32
SK:75
EN:60
DU:50
PH:53
PA:46
SC:50
DF:52
Lukas Rousek
Lukas Rousek
AGE:26
SK:76
EN:60
DU:50
PH:49
PA:60
SC:38
DF:51

Defense #1Defense #2Goalie
Louis Crevier
Louis Crevier
AGE:24
SK:75
EN:78
DU:96
PH:60
PA:59
SC:61
DF:82
Ivan Provorov
Ivan Provorov
AGE:28
SK:80
EN:91
DU:99
PH:63
PA:62
SC:64
DF:82
John Marino
John Marino
AGE:28
SK:82
EN:84
DU:98
PH:64
PA:73
SC:56
DF:82
Darnell Nurse
Darnell Nurse
AGE:30
SK:76
EN:84
DU:99
PH:59
PA:57
SC:61
DF:77
Kristopher Letang
Kristopher Letang
AGE:38
SK:83
EN:86
DU:94
PH:65
PA:74
SC:55
DF:70
Radko Gudas
Radko Gudas
AGE:35
SK:78
EN:77
DU:81
PH:55
PA:56
SC:54
DF:77
Christopher Tanev
Christopher Tanev
AGE:36
SK:75
EN:79
DU:51
PH:52
PA:55
SC:50
DF:96
Troy Stecher
Troy Stecher
AGE:31
SK:80
EN:82
DU:87
PH:55
PA:54
SC:56
DF:77
Jacob Bryson
Jacob Bryson
AGE:28
SK:79
EN:68
DU:77
PH:52
PA:50
SC:55
DF:63
Calvin deHaan
Calvin deHaan
AGE:34
SK:76
EN:55
DU:50
PH:52
PA:54
SC:50
DF:55
Jett Woo
Jett Woo
AGE:25
SK:75
EN:55
DU:50
PH:35
PA:35
SC:36
DF:50
Ilya Sorokin
Ilya Sorokin
AGE:30
SK:92
AG:88
RB:87
SC:88
HS:91
RT:90
DF:90
Ilya Samsonov
Ilya Samsonov
AGE:28
SK:82
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Landon Bow
Landon Bow
AGE:30
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Prospects
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Prospect Team NameDraft Year Overall Pick Information Lien

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2041
2042
2043



Blues 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
1Jared Spurgeon762196467663-1094174791465193410.13%13431855224.351261682941274112133322130.00%50.7102
2Alan Letang1308223419642-598201731177624409.14%8212302717.6048871352424101452301855.08%20.561031
3Mika Zibanejad708186282468-1055951133123019319.63%1401346819.0249127176487381148191051.38%20.691137
4Sam Reinhart399205232437129145352801160412.78%60795519.94521031554130008411052.41%51.10012
5Nick Schmaltz4691612754365740771022148410.85%89912719.46361081443585492422650.28%60.96317

Blues Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1John Gibson387200130360.8983.0822076281211341115302050.754171
2Roberto Luongo359117200220.8973.662017749101229119090870.693101
3Juuse Saros19710667170.9032.9911573128576593201010.73861
4Ilya Sorokin1631064970.9032.89952012645847420940.86229
5Devan Dubnyk1437251180.9102.90850614141145431903820.72892

Blues 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
20178231400025425724710411421001321271261411719001221301219642574126691006010092258707848898932509810132219522895017.30%2634981.37%71000199350.18%994208347.72%688136650.37%1789101518338201507762
201882323404543230237-741132101411104128-24411913031321261091777230366596040569274250707819397622510808107420622284419.30%2554383.14%5946193848.81%999201949.48%688135550.77%167190817507831554757
201982302905468237244-741151602242120125-541151303226117119-274237375612120447910325280650870956261079789016362285423.68%2154380.00%31029201651.04%988207047.73%581118549.03%163086918077811563782
202082293502286235267-3241171601043130135-541121901243105132-2764235368603000597789257207429898112605904115317302374619.41%2314281.82%11076208851.53%1052208950.36%667127852.19%165188918067751539769
202182274204225210255-4541142001114112126-144113220311198129-3164210380590230648060231807787827312562766118918844247417.45%4808482.50%31524286053.29%1444316345.65%645125551.39%1853124320796321036506
202282214807042217265-4841112105031121138-174110270201196127-3156217386603330686573230207687337722777789105719374356414.71%4438880.14%31415291948.48%1478327645.12%593127546.51%1847123720836321029502
202382264601144220323-10341142101122111154-4341122500022109169-6055220385605230847061242208097628313007845126820024348419.35%52012176.73%21534300151.12%1605341746.97%686135150.78%1734112622046491027490
202482125602237215369-1544192401115111163-524133201122104206-10243215380595320756768216507056897443159873128420423748221.93%55713975.04%61246273345.59%1522345744.03%593139942.39%1709110322246531048490
202582126100324181363-182414310031288188-100418300001293175-8235181320501210556064213206986817423133902140121943745213.90%60415274.83%41062266239.89%1333348438.26%539131341.05%1747113621716421038485
202682245000260257362-10541181800230140158-184163200030117204-8762257451708110958670233607707667933104902142021233697520.33%59716472.53%41242281044.20%1368345539.59%601141542.47%1753115621826321019477
202782165005245233363-1304172802202113189-764192203043120174-5457233411644100827963231408227347332943822120320954038721.59%51614372.29%61100281939.02%1266316240.04%522140337.21%1789118121446411044497
20308235300534528025624412111030331551233241141902312125133-8962804947742109110080280708599739372436721974184144310122.80%4168380.05%61677322751.97%1530294351.99%628130348.20%1947131719796311053523
20318239240326829224943412310012231391033641161402045153146710629252081200010294872775085592595424897781056182842510023.53%4268081.22%11668319152.27%1543304350.71%648130149.81%2025139419396181036520
20328241240337427021753412211011511289830411913022231421192310927046973917098818125930801881879227767084317424047117.57%3474886.17%41578303551.99%1435276751.86%667128951.75%2135149618185991033536
203382551703421344211133412970122018910782412610022011551045112534462096414013110510328150933931933219460977516764399722.10%3146080.89%41696316753.55%1408265053.13%683130252.46%2195155917295791031546
2034824326034332952395641231201221144102424120140221215113714105295523818040116878628090917918944242265397917794259121.41%4065686.21%101737314355.27%1542288453.47%716133953.47%2034140318846131040526
20358235330444226725413411915031211451261941161801321122128-6922674827491401158262263209069147922645778103617943895814.91%4147083.09%51631300354.31%1463307947.52%678131151.72%1988137019526011027514
20368233310574229027911411718004111431367411613053311471434932905047940301099478269508699398492550779102816724449320.95%4227582.23%61603302652.97%1493291051.31%673133450.45%2016139619336101031514
203782472107313341263784123140210117313835412470521216812543116341601942321331029882727898906889562563763913178043610223.39%3958279.24%61507295850.95%1406301946.57%649128250.62%2046143818995921014520
20388255210114035322013341231501020162120424132600120191100911213536199722614397108730471052982991392487680917177645410523.13%3956982.53%41780330453.87%1507292551.52%740135754.53%2083145518366001027528
203982413003422282260224121140122114412618412016022011381344982825057872010997715275689195988730248773095518913938421.37%3967381.57%41625305153.26%1468292750.15%687128253.59%1995138219246091031518
Total Regular Season172268474806760857855065743-23786135736402832443627992809-1086132738403928414227072934-227171255069571150772850385180017751414538392841172941808215181554691637922737394368047161420.06%8612176479.52%94296765894450.35%288446082247.42%135722769549.01%396462608341186137022373911771
Playoff
2019734000001921-231200000912-342200000109161932510004771970478160248695614413538.46%15193.33%18116150.31%9519249.48%459547.37%135681717214472
2030137600000363606420000019172734000001719-21436661020101012143710110109142446140185330711521.13%801285.00%021949843.98%27953951.76%8821041.90%28918734710417283
203118108000006061-1945000002936-7963000003125620601021620002019195810195178191585166201404892426.97%861681.40%130866446.39%31367646.30%17030855.19%435296449136233117
20321510500000643925844000003626107610000028131520641161800002525145090159162153431115141320961515.63%641379.69%030260050.33%27256847.89%13526850.37%412289350115195105
203311650000043331063300000221755320000021165124380123000132184110118151130323104111244681319.12%45784.44%023948249.59%18437049.73%8818846.81%3032112418214274
2034514000001820-230300000812-421100000108221832500004861580396257172556011326726.92%29775.86%110218654.84%10118554.59%479251.09%12082113366532
2035624000001719-232100000119230300000610-441728451006561850586655180608215424520.83%33681.82%111623050.43%11423149.35%5310351.46%13993154457536
2036514000001316-32020000047-3312000009902132437000382145049563818369589917211.76%29582.76%07716646.39%9419548.21%408547.06%11376127376230
20371511400000595187520000031274862000002824422591061650019231525371871961468502151163326881517.05%58984.48%127557647.74%25355745.42%11925546.67%38226934310918794
2038241680000011297151385000006055511830000052421032112198310004031401848263284288137762203165151363827.94%1313573.28%050593254.18%42887448.97%23843354.97%585404574177303153
20391798000004648-2936000001927-886200000272161846811271010191614611441541585544176220358851517.65%911979.12%027957448.61%30765347.01%11323448.29%394265425133213105
Total Playoff1367660000004874414669343500000248245367422500000239196431524878651352216915817680440359414091457852439013251593300771315421.60%66113080.33%52503506949.38%2440504048.41%1136227150.02%33132246329910521796906

Blues 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
1Sam Reinhart804542875236917730414.80%25173321.671318316300049249.23%01.0000
2Zach Hyman58244064532855822910.48%9130922.57916256000024232.39%00.9800
3Nick Schmaltz72184260917121651889.57%14140819.57512173601136150.47%00.8500
4Claude Giroux37193756582812111616.38%1685323.06716232900024256.36%01.3100
5Brad Marchand56183250-1481398417510.29%13119121.28612185201134028.57%00.8400

Blues Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1John Gibson55311860.9052.9033950116417180300.0000
2Ilya Sorokin41251330.8923.4124658014013000210.0000
3Connor Hellebuyck1511300.8993.2285800464570000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000