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Game Center
Wild
1-2-0, 2pts
4
FINAL
3 Blues
2-1-0, 4pts
Team Stats
L1StreakW1
0-1-0Home Record1-1-0
1-1-0Away Record1-0-0
1-2-0Last 10 Games2-0-1
3.33Goals Per Game3.67
3.67Goals Against Per Game3.33
29.41%Power Play Percentage11.11%
88.89%Penalty Kill Percentage70.59%
Blues
2-1-0, 4pts
5
FINAL
4 Wild
1-2-0, 2pts
Team Stats
W1StreakL1
1-1-0Home Record0-1-0
1-0-0Away Record1-1-0
2-0-1Last 10 Games1-2-0
3.67Goals Per Game3.33
3.33Goals Against Per Game3.67
11.11%Power Play Percentage29.41%
70.59%Penalty Kill Percentage88.89%
Blues
2-1-0, 4pts
Day 8
Wild
1-2-0, 2pts
Team Stats
W1StreakL1
1-1-0Home Record0-1-0
1-0-0Away Record1-1-0
2-0-1Last 10 Games1-2-0
3.67Goals Per Game3.33
3.33Goals Against Per Game3.67
11.11%Power Play Percentage29.41%
70.59%Penalty Kill Percentage88.89%
Wild
1-2-0, 2pts
Day 10
Blues
2-1-0, 4pts
Team Stats
L1StreakW1
0-1-0Home Record1-1-0
1-1-0Away Record1-0-0
1-2-0Last 10 Games2-0-1
3.33Goals Per Game3.67
3.67Goals Against Per Game3.33
29.41%Power Play Percentage11.11%
88.89%Penalty Kill Percentage70.59%
Blues
2-1-0, 4pts
Day 12
Wild
1-2-0, 2pts
Team Stats
W1StreakL1
1-1-0Home Record0-1-0
1-0-0Away Record1-1-0
2-0-1Last 10 Games1-2-0
3.67Goals Per Game3.33
3.33Goals Against Per Game3.67
11.11%Power Play Percentage29.41%
70.59%Penalty Kill Percentage88.89%
Team Leaders
Sam ReinhartGoals
Sam Reinhart
3
Taylor HallAssists
Taylor Hall
3
Sam ReinhartPoints
Sam Reinhart
4
Sam ReinhartPlus/Minus
Sam Reinhart
3
Ilya SorokinWins
Ilya Sorokin
2
Ilya SorokinSave Percentage
Ilya Sorokin
0.901

Team Stats
Goals For
11
3.67 GFG
Shots For
75
25.00 Avg
Power Play Percentage
11.1%
1 GF
Offensive Zone Start
36.7%
Goals Against
10
3.33 GAA
Shots Against
101
33.67 Avg
Penalty Kill Percentage
70.6%
5 GA
Defensive Zone Start
45.8%

Injury / Suspension
John Marino


John Marino

is out for 1 week because of a Bruised Right Leg Injury.
Team Info
General ManagerMaxime Barabe
CoachTodd McLellan
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2
Uniforms
Arena Info
NameAnheuser-Busch Center
Capacity25,000
Attendance23,034
Season Tickets10,000
Roster Info
Pro Team22
Farm Team23
Contract Limit45 / 50
Prospects2
Salary Cap
Estimated Season Salary Cap0$
Available Salary Cap90,000,000$
Special Salary Cap Value0$
Players In Salary Cap21
Finance
Year to Date Revenue4,062,225$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account283,144,987$
Projected Bank Account283,144,987$
Team History
This Season2-1
History836-748-145 (0.484%)
Playoff Appearances10
Playoff Record (W-L)69-53
Stanley Cup1


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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
1Sam ReinhartX100.0071518394618997877684908981828645508103031$
2Nick SchmaltzX100.0044448790538699778483706977808350537402956,375,000$
3Boone JennerX100.0079518786678461758678728260868535687403245,000,000$
4Brad MarchandX100.0067407290458592744072777262969110657303728,750,000$
5Taylor HallX100.0053528183688096678166697264908525687103433,750,000$
6Zach HymanX100.0059518184668693704059807040888730657103337,000,000$
7Warren FoegeleX100.0061518483678299684062748240808150657102913,500,000$
8Nic DowdX100.0077487679608099598553649040928620657003552,200,000$
9Ross ColtonX100.0096478483587985647557726890808050656902913,500,000$
10Keegan KolesarX100.0099717778737799604058627040787855686802811,900,000$
11Lars EllerX100.0057528177697798568752606873948615656603612,750,000$
12William CarrierX100.0099558375757472554053586640847940296403132,350,000$
13Darnell NurseX100.0090677179778795644070588140828545657603017,500,000$
14Kristopher LetangX100.007847768358899464406365827198945657503825,500,000$
15Ivan ProvorovX100.0048558281708999634066618740788455527402856,000,000$
16Radko GudasX100.0099556977658398534055528140928820577303554,000,000$
17Christopher TanevX100.0046518476678294564056558640948815687103634,400,000$
18Louis CrevierX100.009163847591796552404362744070757566690241600,000$
Scratches
1Jimmy VeseyX100.0057519075677272534046606270867935216103212,500,000$
2John MarinoX87.5346498981638567624070547840788255406902843,900,000$
Farm Team
1Conor ShearyX100.004839828744685867407058704088783046640332900,000$
2Nick CousinsX100.008048748152747757405560666986803546640322850,000$
3Drake CaggiulaX100.006240688251716159405762709084784059630311900,000$
4Jakub VranaX100.0051488581607270604051695776807650466202911,000,000$
5Michael EyssimontX100.0073547478577296544047606340807650466202921,250,000$
6Rasmus KupariX100.0071518575667283518844576740727270466102511,224,000$
7Nils AmanX100.006745887955725658736254624072727046610251900,000$
8Filip Bystedt (R)X100.007756808272605050405150694064629046590213925,000$
9Nick BoninoX100.0045498675626050508647526476967810415803722,000,000$
10Lukas RousekX100.004840787660817149406038614074786546580262750,000$
11Adam CracknellX100.006347877573605049404455514099800355704011,900,000$
12Hugh McGingX100.0050717277437767464044476640767760265602721,750,000$
13Jasper WeatherbyX100.0064587875776050417036455940766860415402711,550,000$
14Calvin deHaanX100.007547857659747552405450684090822546660341975,000$
15Ryan SheaX100.0052548375737770514046567640787855466502821,100,000$
16Troy StecherX100.0052458278497388504045566540847940466303121,750,000$
17Jacob BrysonX100.0047408679447476514052506540787655466102812,000,000$
18Jett WooX100.0074496375647166374040347099727270466102511,200,000$
19William DufourX100.004745707573665641403943504068678022520231925,000$
TEAM AVERAGE99.67665180806376785852565970538380435166
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 Sorokin99.009299999687868790898984828445518803016,000,000$
2Ilya Samsonov100.008265699373696971706884787455827302812,900,000$
Scratches
Farm Team
1Aaron Dell100.00815060895050505050508794721568600361575,000$
2Martin Jones100.00855060955050505050505092712068600352900,000$
3Landon Bow100.00755060965050505050508382664524580301600,000$
4Beck Warm100.00775060805050505050504074626524560261600,000$
TEAM AVERAGE99.8382616892605959606060718472415366
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd McLellan76797897938954CAN5833,000,000$


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
1Sam ReinhartBluesRW331435527133623.08%16923.16000380000161059.38%3200001.1500010001
2Taylor HallBluesRW3033300185470.00%13511.680000000000000.00%000001.7100000000
3Boone JennerBluesC31233953861616.67%06722.37000080000140059.72%7200000.8900100000
4Louis CrevierBluesD3033380622050.00%14414.960000000001000.00%000001.3400000000
5Radko GudasBluesD303321201423220.00%36020.010002700006000.00%000001.0000000000
6Christopher TanevBluesD3022300024010.00%36220.9900016000010000.00%000000.6400000000
7Nic DowdBluesC32023003894422.22%23411.6300000000000061.36%4400001.1500000100
8Nick SchmaltzBluesC311210011342325.00%05518.6300007000060065.22%6900000.7200000000
9Darnell NurseBluesD30220195624040.00%16722.6101127000012000.00%000000.5900010000
10Zach HymanBluesLW320210033113618.18%15016.9300027000021175.00%400000.7900000010
11Ivan ProvorovBluesD1011100000000.00%12121.850000100001000.00%000000.9200000000
12Kristopher LetangBluesD3011040320330.00%67625.6401108000013000.00%000000.2600000000
13Warren FoegeleBluesRW31011205353520.00%24816.011012700000000.00%100000.4200000010
14Ross ColtonBluesLW310120073111100.00%13511.9300000000040140.00%500000.5600000001
15John MarinoBluesD2000100040000.00%12713.530000000004000.00%000000.0000000000
16Keegan KolesarBluesRW3000-200003330.00%0217.01000000000000100.00%100000.0000000000
17Brad MarchandBluesLW3000340304060.00%05919.9800008000050033.33%300000.0000000000
18Lars EllerBluesC3000-200020320.00%0206.8700000000000055.00%2000000.0000000000
19William CarrierBluesLW3000-200101030.00%0206.870000000000000.00%000000.0000000000
Team Total or Average54111930246315586975326714.67%2488016.31123127700001002260.56%25100000.6800120122
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
1Ilya SorokinBlues32010.9013.3018200101010000.000030100
Team Total or Average32010.9013.3018200101010000.000030100


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Boone JennerBluesC321993-06-15No203 Lbs6 ft2NoNoYes4Pro Only5,000,000$5,000,000$2,857,143$No5,000,000$5,000,000$5,000,000$
UFA
Link / NHL Link
Brad MarchandBluesLW371988-05-11No180 Lbs5 ft9NoNoYes2Pro Only8,750,000$8,750,000$5,000,000$No8,750,000$
UFA
Link / NHL Link
Christopher TanevBluesD361989-12-20No199 Lbs6 ft3NoNoYes3Pro & Farm4,400,000$4,400,000$2,514,286$No4,400,000$4,400,000$
UFA
Link / NHL Link
Darnell NurseBluesD301995-02-04No215 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$4,285,714$No
UFA
Link / NHL Link
Ilya SamsonovBluesG281997-02-22No200 Lbs6 ft3NoNoYes1Pro & Farm2,900,000$2,900,000$1,657,143$No
UFA
Link / NHL Link
Ilya SorokinBluesG301995-08-04No190 Lbs6 ft3NoNoYes1Pro Only6,000,000$6,000,000$3,428,571$No
UFA
Link / NHL Link
Ivan ProvorovBluesD281997-01-13No213 Lbs6 ft1NoNoYes5Pro Only6,000,000$6,000,000$3,428,571$No6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Jimmy VeseyBluesRW321993-05-26No203 Lbs6 ft2NoNoYes1Pro & Farm2,500,000$2,500,000$1,428,571$No
UFA
Link / NHL Link
John Marino (Out of Payroll)BluesD281997-05-21No200 Lbs6 ft1NoNoYes4Pro & Farm3,900,000$3,900,000$2,228,571$No3,900,000$3,900,000$3,900,000$
UFA
Link / NHL Link
Keegan KolesarBluesRW281997-04-08No216 Lbs6 ft2NoNoNo1Pro & Farm1,900,000$1,900,000$1,085,714$No
UFA
Link / NHL Link
Kristopher LetangBluesD381987-04-24No193 Lbs6 ft0NoNoYes2Pro Only5,500,000$5,500,000$3,142,857$No5,500,000$
UFA
Link / NHL Link
Lars EllerBluesC361989-05-08No208 Lbs6 ft2NoNoYes1Pro & Farm2,750,000$2,750,000$1,571,429$No
UFA
Link / NHL Link
Louis CrevierBluesD242001-05-04No228 Lbs6 ft8NoNoNo1Pro & Farm600,000$600,000$342,857$No
RFA
Link / NHL Link
Nic DowdBluesC351990-05-27No190 Lbs6 ft2YesNoYes5Pro & Farm2,200,000$2,200,000$1,257,143$No2,200,000$2,200,000$2,200,000$2,200,000$
UFA
Link / NHL Link
Nick SchmaltzBluesC291996-02-23No184 Lbs6 ft0NoNoYes5Pro Only6,375,000$6,375,000$3,642,857$No6,375,000$6,375,000$6,375,000$6,375,000$
UFA
Link / NHL Link
Radko GudasBluesD351990-06-05No208 Lbs6 ft0YesNoYes5Pro & Farm4,000,000$4,000,000$2,285,714$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Ross ColtonBluesLW291996-09-11No194 Lbs6 ft0NoNoYes1Pro & Farm3,500,000$3,500,000$2,000,000$No
UFA
Link / NHL Link
Sam ReinhartBluesRW301995-11-06No196 Lbs6 ft1YesNoYes3Pro Only1$1$1$No7,200,000$7,200,000$
UFA
Link / NHL Link
Taylor HallBluesRW341991-11-14No210 Lbs6 ft1NoNoYes3Pro & Farm3,750,000$3,750,000$2,142,857$No3,750,000$3,750,000$
UFA
Link / NHL Link
Warren FoegeleBluesRW291996-04-01No204 Lbs6 ft2NoNoYes1Pro & Farm3,500,000$3,500,000$2,000,000$No
UFA
Link / NHL Link
William CarrierBluesLW311994-12-20No220 Lbs6 ft2NoNoYes3Pro & Farm2,350,000$2,350,000$1,342,857$No2,350,000$2,350,000$
UFA
Link / NHL Link
Zach HymanBluesLW331992-06-09No206 Lbs6 ft1NoNoYes3Pro Only7,000,000$7,000,000$4,000,000$No7,000,000$7,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2231.45203 Lbs6 ft22.554,107,955$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
90,375,001$66,425,000$52,175,000$27,475,000$18,575,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandBoone JennerSam Reinhart40122
2Zach HymanNick SchmaltzWarren Foegele30122
3Ross ColtonNic DowdTaylor Hall20122
4William CarrierLars EllerKeegan Kolesar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang40122
2Ivan ProvorovRadko Gudas30122
3Christopher TanevLouis Crevier20122
4Darnell NurseKristopher Letang10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandBoone JennerSam Reinhart60122
2Zach HymanNick SchmaltzWarren Foegele40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam ReinhartBoone Jenner60122
2Nick SchmaltzBrad Marchand40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Reinhart60122Darnell NurseKristopher Letang60122
2Boone Jenner40122Ivan ProvorovRadko Gudas40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam ReinhartBoone Jenner60122
2Nick SchmaltzBrad Marchand40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseKristopher Letang60122
2Ivan ProvorovRadko Gudas40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brad MarchandBoone JennerSam ReinhartDarnell NurseKristopher Letang
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brad MarchandBoone JennerSam ReinhartDarnell NurseKristopher Letang
Extra Forwards
Normal PowerPlayPenalty Kill
Nic Dowd, Taylor Hall, Ross ColtonNic Dowd, Taylor HallRoss Colton
Extra Defensemen
Normal PowerPlayPenalty Kill
Christopher Tanev, Louis Crevier, Ivan ProvorovChristopher TanevLouis Crevier, Ivan Provorov
Penalty Shots
Sam Reinhart, Boone Jenner, Nick Schmaltz, Brad Marchand, Zach Hyman
Goalie
#1 : Ilya Sorokin, #2 : Ilya Samsonov


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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
1Wild3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
Total3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
_Since Last GM Reset3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
_Vs Conference3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
_Vs Division3210000011101211000006601100000054140.6671119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34W11119307510124635800
All Games
GPWLOTWOTL SOWSOLGFGA
32100001110
Home Games
GPWLOTWOTL SOWSOLGFGA
211000066
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000054
Last 10 Games
WLOTWOTL SOWSOL
200100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
9111.11%17570.59%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
15303002540
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
549258.70%7211562.61%264459.09%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
674576233818


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
26Wild2Blues3BWBoxScore
414Wild4Blues3BLXBoxScore
622Blues5Wild4AWBoxScore
830Blues-Wild-
1038Wild-Blues-
1246Blues-Wild-
1454Wild-Blues-


Depth Chart
Left WingCenterRight Wing
Brad Marchand
Brad Marchand
AGE:37
SK:90
EN:85
DU:92
PH:74
PA:72
SC:77
DF:72
Zach Hyman
Zach Hyman
AGE:33
SK:84
EN:86
DU:93
PH:70
PA:59
SC:80
DF:70
Ross Colton
Ross Colton
AGE:29
SK:83
EN:79
DU:85
PH:64
PA:57
SC:72
DF:68
William Carrier
William Carrier
AGE:31
SK:75
EN:74
DU:72
PH:55
PA:53
SC:58
DF:66
Drake Caggiula
Drake Caggiula
AGE:31
SK:82
EN:71
DU:61
PH:59
PA:57
SC:62
DF:70
Jakub Vrana
Jakub Vrana
AGE:29
SK:81
EN:72
DU:70
PH:60
PA:51
SC:69
DF:57
Filip Bystedt (R)
Filip Bystedt
AGE:21
SK:82
EN:60
DU:50
PH:50
PA:51
SC:50
DF:69
Adam Cracknell
Adam Cracknell
AGE:40
SK:75
EN:60
DU:50
PH:49
PA:44
SC:55
DF:51
Hugh McGing
Hugh McGing
AGE:27
SK:77
EN:77
DU:67
PH:46
PA:44
SC:47
DF:66
William Dufour
William Dufour
AGE:23
SK:75
EN:66
DU:56
PH:41
PA:39
SC:43
DF:50
Nick Schmaltz
Nick Schmaltz
AGE:29
SK:90
EN:86
DU:99
PH:77
PA:83
SC:70
DF:69
Boone Jenner
Boone Jenner
AGE:32
SK:86
EN:84
DU:61
PH:75
PA:78
SC:72
DF:82
Nic Dowd
Nic Dowd
AGE:35
SK:79
EN:80
DU:99
PH:59
PA:53
SC:64
DF:90
Lars Eller
Lars Eller
AGE:36
SK:77
EN:77
DU:98
PH:56
PA:52
SC:60
DF:68
Nick Cousins
Nick Cousins
AGE:32
SK:81
EN:74
DU:77
PH:57
PA:55
SC:60
DF:66
Michael Eyssimont
Michael Eyssimont
AGE:29
SK:78
EN:72
DU:96
PH:54
PA:47
SC:60
DF:63
Rasmus Kupari
Rasmus Kupari
AGE:25
SK:75
EN:72
DU:83
PH:51
PA:44
SC:57
DF:67
Nils Aman
Nils Aman
AGE:25
SK:79
EN:72
DU:56
PH:58
PA:62
SC:54
DF:62
Nick Bonino
Nick Bonino
AGE:37
SK:75
EN:60
DU:50
PH:50
PA:47
SC:52
DF:64
Jasper Weatherby
Jasper Weatherby
AGE:27
SK:75
EN:60
DU:50
PH:41
PA:36
SC:45
DF:59
Sam Reinhart
Sam Reinhart
AGE:30
SK:94
EN:89
DU:97
PH:87
PA:84
SC:90
DF:89
Warren Foegele
Warren Foegele
AGE:29
SK:83
EN:82
DU:99
PH:68
PA:62
SC:74
DF:82
Taylor Hall
Taylor Hall
AGE:34
SK:83
EN:80
DU:96
PH:67
PA:66
SC:69
DF:72
Keegan Kolesar
Keegan Kolesar
AGE:28
SK:78
EN:77
DU:99
PH:60
PA:58
SC:62
DF:70
Conor Sheary
Conor Sheary
AGE:33
SK:87
EN:68
DU:58
PH:67
PA:70
SC:58
DF:70
Jimmy Vesey
Jimmy Vesey
AGE:32
SK:75
EN:72
DU:72
PH:53
PA:46
SC:60
DF:62
Lukas Rousek
Lukas Rousek
AGE:26
SK:76
EN:81
DU:71
PH:49
PA:60
SC:38
DF:61

Defense #1Defense #2Goalie
Darnell Nurse
Darnell Nurse
AGE:30
SK:79
EN:87
DU:95
PH:64
PA:70
SC:58
DF:81
Kristopher Letang
Kristopher Letang
AGE:38
SK:83
EN:89
DU:94
PH:64
PA:63
SC:65
DF:82
Ivan Provorov
Ivan Provorov
AGE:28
SK:81
EN:89
DU:99
PH:63
PA:66
SC:61
DF:87
Radko Gudas
Radko Gudas
AGE:35
SK:77
EN:83
DU:98
PH:53
PA:55
SC:52
DF:81
Christopher Tanev
Christopher Tanev
AGE:36
SK:76
EN:82
DU:94
PH:56
PA:56
SC:55
DF:86
Louis Crevier
Louis Crevier
AGE:24
SK:75
EN:79
DU:65
PH:52
PA:43
SC:62
DF:74
John Marino
John Marino
AGE:28
SK:81
EN:85
DU:67
PH:62
PA:70
SC:54
DF:78
Calvin deHaan
Calvin deHaan
AGE:34
SK:76
EN:74
DU:75
PH:52
PA:54
SC:50
DF:68
Ryan Shea
Ryan Shea
AGE:28
SK:75
EN:77
DU:70
PH:51
PA:46
SC:56
DF:76
Troy Stecher
Troy Stecher
AGE:31
SK:78
EN:73
DU:88
PH:50
PA:45
SC:56
DF:65
Jett Woo
Jett Woo
AGE:25
SK:75
EN:71
DU:66
PH:37
PA:40
SC:34
DF:70
Jacob Bryson
Jacob Bryson
AGE:28
SK:79
EN:74
DU:76
PH:51
PA:52
SC:50
DF:65
Ilya Sorokin
Ilya Sorokin
AGE:30
SK:92
AG:87
RB:86
SC:87
HS:90
RT:89
DF:89
Ilya Samsonov
Ilya Samsonov
AGE:28
SK:82
AG:73
RB:69
SC:69
HS:71
RT:70
DF:68
Martin Jones
Martin Jones
AGE:35
SK:85
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Aaron Dell
Aaron Dell
AGE:36
SK:81
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
Beck Warm
Beck Warm
AGE:26
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Prospects
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Jacob LeguerrierBlues2033161
Patrick HolwayBlues2032168

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2041
2042



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
20393210000011101211000006601100000054141119300025407515303001012463589111.11%17570.59%0549258.70%7211562.61%264459.09%674576233818
Total Playoff12269530000045240349623230000002352241160372300000217179381384528031255116114416479401746512851329847394711731436270763714021.98%58711680.24%52278458749.66%2205450248.98%1049208150.41%2986202529509411621819

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 Reinhart673739764195013727313.55%18140520.981016265800047251.36%01.0800
2Claude Giroux37193756582812111616.38%1685323.06716232900024256.36%01.3100
3Zach Hyman44213455528734720010.50%8105924.08812205500023233.33%01.0400
4Nick Schmaltz58163551717101241679.58%11107518.5449133301126154.83%00.9500
5Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300

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 Sorokin2718630.8803.831615601038580100.0000
3Connor Hellebuyck1511300.8993.2285800464570000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000