Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
Predators
6-7-0, 12pts
5
FINAL
6 Blues
8-5-0, 16pts
Team Stats
L3StreakW3
3-4-0Home Record4-3-0
3-3-0Away Record4-2-0
5-5-0Last 10 Games6-3-1
3.54Goals Per Game4.46
3.77Goals Against Per Game4.00
21.62%Power Play Percentage19.44%
81.94%Penalty Kill Percentage72.31%
Blues
8-5-0, 16pts
5
FINAL
2 Predators
6-7-0, 12pts
Team Stats
W3StreakL3
4-3-0Home Record3-4-0
4-2-0Away Record3-3-0
6-3-1Last 10 Games5-5-0
4.46Goals Per Game3.54
4.00Goals Against Per Game3.77
19.44%Power Play Percentage21.62%
72.31%Penalty Kill Percentage81.94%
Team Leaders
Sam ReinhartGoals
Sam Reinhart
8
Sam ReinhartAssists
Sam Reinhart
16
Sam ReinhartPoints
Sam Reinhart
24
Darnell NursePlus/Minus
Darnell Nurse
10
Ilya SorokinWins
Ilya Sorokin
8
Ilya SorokinSave Percentage
Ilya Sorokin
0.883

Team Stats
Goals For
58
4.46 GFG
Shots For
461
35.46 Avg
Power Play Percentage
19.4%
14 GF
Offensive Zone Start
40.6%
Goals Against
52
4.00 GAA
Shots Against
428
32.92 Avg
Penalty Kill Percentage
72.3%
18 GA
Defensive Zone Start
40.0%


Injury / Suspension
Zach Hyman


Zach Hyman

is out for 1 days because of a Exhaustion.
Sam Reinhart


Sam Reinhart

is out for 1 days because of a Exhaustion.
Team Info
General ManagerMaxime Barabe
CoachTodd McLellan
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2
Uniforms
Arena Info
NameAnheuser-Busch Center
Capacity25,000
Attendance23,854
Season Tickets10,000
Roster Info
Pro Team24
Farm Team23
Contract Limit47 / 50
Prospects4
Salary Cap
Estimated Season Salary Cap0$
Available Salary Cap85,000,000$
Special Salary Cap Value0$
Players In Salary Cap22
Finance
Year to Date Revenue14,771,889$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account284,881,892$
Projected Bank Account284,881,892$
Team History
This Season8-5
History790-718-140 (0.479%)
Playoff Appearances9
Playoff Record (W-L)59-49
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
1Brad MarchandX100.0073447193438799794078797862969210887703638,750,000$
2Claude GirouxX100.0051448491538899779383718069969210887603627,000,000$
3Sean MonahanX100.0048518786668599749073767978848540847503029,000,000$
4Logan CoutureX100.0077538589666050798280778881947715847503516,500,000$
5Nick SchmaltzX100.0045448790528797777680737480808450887402866,375,000$
6Lars EllerX100.0056528279688199618756658675948815917103522,750,000$
7Nic DowdX100.0083517580608087598353658740928620887003411,500,000$
8Jordan MartinookX100.0057478181597999618658647890888430576903212,000,000$
9Michael EyssimontX100.0079646480627498584054617140807750846602831,250,000$
10Keegan KolesarX100.0099677875737397544050586940787655866502711,000,000$
11Kristopher LetangX100.007949758762919973408165887398955888003717,000,000$
12Darnell NurseX100.0089597079778698644062657940828445877502927,500,000$
13Radko GudasX100.0099625179658288584055618840928720857503411,750,000$
14Christopher TanevX100.0054498478628294564059539440948815887403514,500,000$
15John MarinoX100.0052477981548494604063578440788155837102713,800,000$
16Calvin deHaanX100.007847837759778353405056774090842561690332975,000$
Scratches
1Sam ReinhartX94.0062518296628999927977999481828645928302941$
2Zach HymanX94.0065517891668798844064997840888830907803247,000,000$
3Lane PedersonX100.0099617880567565577057577040787755516502711,050,000$
4Nick BoninoX100.0045498675627574508647528476968610726403632,000,000$
5Spencer StastneyX100.004244867953765755404862804072747070650241750,000$
Farm Team
1Drake CaggiulaX100.006240768251605060406655594084724055610302900,000$
2Matthew NietoX100.0055448678537458524051547540888130516103212,000,000$
3Liam FoudyX100.0054498777627152544059506140727270515902411,017,500$
4Brett MurrayX100.006171777589635349404356564076706051570261851,000$
5Will BittenX100.004742817551776745403951506976776051550261860,000$
6Samuel LabergeX100.0072705975686858384038386140787355425402711,500,000$
7Carsen TwarynskiX100.009950757564605037403242614078695537530271860,000$
8Josh LopinaX100.005649837565786839703147504070747538530231696,000$
9Serron NoelX100.007167677574605038403936554072667038520241825,000$
10Tyler AngleX100.005360797545605041703646504072667032510241770,000$
11Jack BadiniX100.007361817562605031702934504076686025490261930,000$
12Egor ZamulaX100.0053518078677788604060597340727570606702411,200,000$
13Nikita OkhotyukX100.0099487276617679524053527040727470456702411,018,000$
14Alexander EdlerX100.00795579757455505340525462639977051630381975,000$
15Patrik NemethX100.007660827584555048404550654088723051620324975,000$
16Jack RathboneX100.005541837550736843403946704074746551610251825,000$
17Markus NiemelainenX100.009952807575555031402934624076666051590261930,000$
18Noel HoefenmayerX100.007153637565555044403948664074656551590251930,000$
19Dmitry SemykinX100.006454907573555025402030514072647035530241825,000$
20Grant MismashX100.005045837555605034402939504074676520480251825,000$
TEAM AVERAGE99.71685278806373745553535771508278446365
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 Sorokin99.008998999076787980777883828045848102926,000,000$
2Martin Jones100.00855760957475767476759692842084760343900,000$
Scratches
1Mike Smith100.0081506099616566666771829982081710421575,000$
Farm Team
1Aaron Dell100.00815060895861616061599394781572660352575,000$
2Landon Bow100.00755060965050505050508382664548590292600,000$
3Beck Warm100.00775060805050505050504074626522560252600,000$
TEAM AVERAGE99.8381596792626364636464808775326568
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd McLellan78978489878956CAN5743,000,000$


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 ReinhartBluesRW108162488013378821639.09%626526.5915620530003460051.32%15200001.8100000421
2Kristopher LetangBluesD13814229160211936101822.22%2533826.044372466000048100.00%000001.3000000031
3Claude GirouxBluesC13616223005343652216.67%828021.5527911660000273160.95%37900001.5700000221
4Zach HymanBluesLW128917540201247154917.02%330025.0533610600000550139.66%5800001.1300000001
5Nick SchmaltzBluesC131781001313410332.94%121216.34000326000070059.92%25200000.7500000000
6Sean MonahanBluesRW13538-10002031132716.13%124318.73112855000040056.67%3000000.6600000000
7Brad MarchandBluesLW13268-414031243212306.25%327821.4602211540000371028.89%4500000.5700000001
8Logan CoutureBluesC63581115822227813.64%310617.79123727000002045.45%14300001.5000001001
9Nic DowdBluesLW1334741402413367238.33%318414.17101140000131050.00%2000000.7600000020
10Darnell NurseBluesD132571028039594422.22%1732124.73112666000045010.00%000000.4400000001
11John MarinoBluesD132463805741350.00%1216712.870000100001000.00%000000.7200000000
12Lars EllerBluesRW135163407163131416.13%318314.12000111000050075.00%1600000.6500000100
13Radko GudasBluesD13145-23610471225584.00%1727521.180001653000138000.00%000000.3600101000
14Christopher TanevBluesD13044-20011311680.00%1628922.25011753000047000.00%000000.2800000000
15Keegan KolesarBluesRW12022220941260.00%0594.9600001000000033.33%900000.6700000000
16Lane PedersonBluesC11123550130233.33%01212.8200000000000045.00%2000003.1200001000
17Jordan MartinookBluesLW131124003184312.50%0372.870000000004000.00%100001.0700000000
18Michael EyssimontBluesLW131012001021350.00%0272.0800001000000025.00%2000000.7400000000
19Nick BoninoBluesC6011-300074250.00%06410.6800000000000055.74%6100000.3100000000
20Calvin deHaanBluesD131013140253105100.00%1217813.7100000000021000.00%000000.1100000000
21Spencer StastneyBluesD5000-100010130.00%1142.890000000001000.00%000000.0000000000
Team Total or Average23458103161481642026028246112933712.58%131384116.4214253912560500044078353.98%120600000.8400103797
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 SorokinBlues138410.8833.7977600494190000.0000130100
2Martin JonesBlues10000.66712.861400390000.0000013000
Team Total or Average148410.8793.9579000524280000.00001313100


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
Brad MarchandBluesLW361988-05-11No176 Lbs5 ft9NoNoYes3Pro Only8,750,000$8,750,000$625,000$No8,750,000$8,750,000$
UFA
Link / NHL Link
Calvin deHaanBluesD331991-05-09No192 Lbs6 ft1YesNoNo2Pro & Farm975,000$975,000$69,643$No975,000$
UFA
Link / NHL Link
Christopher TanevBluesD351989-12-20No193 Lbs6 ft2NoNoYes1Pro & Farm4,500,000$4,500,000$321,429$No
UFA
Link / NHL Link
Claude GirouxBluesC361988-01-12No188 Lbs5 ft11NoNoYes2Pro Only7,000,000$7,000,000$500,000$No7,000,000$
UFA
Link / NHL Link
Darnell NurseBluesD291995-02-04No215 Lbs6 ft4NoNoYes2Pro Only7,500,000$7,500,000$535,714$No7,500,000$
UFA
Link / NHL Link
Ilya SorokinBluesG291995-08-04No190 Lbs6 ft3NoNoYes2Pro Only6,000,000$6,000,000$428,571$No6,000,000$
UFA
Link / NHL Link
John MarinoBluesD271997-05-21No181 Lbs6 ft1NoNoYes1Pro & Farm3,800,000$3,800,000$271,429$No
UFA
Link / NHL Link
Jordan MartinookBluesLW321992-07-25No196 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$2,000,000$142,857$No
UFA
Link / NHL Link
Keegan KolesarBluesRW271997-04-08No216 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$71,429$No
UFA
Link / NHL Link
Kristopher LetangBluesD371987-04-24No201 Lbs6 ft0NoNoYes1Pro Only7,000,000$7,000,000$500,000$No
UFA
Link / NHL Link
Lane PedersonBluesC271997-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$1,050,000$75,000$No
UFA
Link / NHL Link
Lars EllerBluesRW351989-05-08No205 Lbs6 ft2NoNoYes2Pro & Farm2,750,000$2,750,000$196,429$No2,750,000$
UFA
Link / NHL Link
Logan CoutureBluesC351989-03-28No206 Lbs6 ft1NoNoYes1Pro Only6,500,000$6,500,000$464,286$No
UFA
Link / NHL Link
Martin JonesBluesG341990-01-10No189 Lbs6 ft4NoNoNo3Pro & Farm900,000$900,000$64,286$No900,000$900,000$
UFA
Link / NHL Link
Michael EyssimontBluesLW281996-09-09No201 Lbs6 ft0NoNoNo3Pro & Farm1,250,000$1,250,000$89,286$No1,250,000$1,250,000$
UFA
Link / NHL Link
Mike SmithBluesG421982-02-22No210 Lbs6 ft3NoNoNo1Pro & Farm575,000$575,000$41,071$No
UFA
Link / NHL Link
Nic DowdBluesLW341990-05-27No193 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,500,000$107,143$No
UFA
Link / NHL Link
Nick BoninoBluesC361988-04-20No198 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$2,000,000$142,857$No2,000,000$2,000,000$
UFA
Link / NHL Link
Nick SchmaltzBluesC281996-02-23No181 Lbs6 ft0NoNoYes6Pro Only6,375,000$6,375,000$455,357$No6,375,000$6,375,000$6,375,000$6,375,000$6,375,000$
UFA
Link / NHL Link
Radko GudasBluesD341990-06-05No208 Lbs6 ft0NoNoNo1Pro & Farm1,750,000$1,750,000$125,000$No
UFA
Link / NHL Link
Sam Reinhart (Out of Payroll)BluesRW291995-11-06No193 Lbs6 ft2YesNoYes4Pro Only1$1$0$No7,200,000$7,200,000$7,200,000$
UFA
Link / NHL Link
Sean MonahanBluesRW301994-10-12No202 Lbs6 ft2NoNoYes2Pro Only9,000,000$9,000,000$642,857$No9,000,000$
UFA
Link / NHL Link
Spencer StastneyBluesD242000-01-04No184 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$53,571$No
RFA
Link / NHL Link
Zach Hyman (Out of Payroll)BluesLW321992-06-09No206 Lbs6 ft1NoNoYes4Pro Only7,000,000$7,000,000$500,000$No7,000,000$7,000,000$7,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2432.04196 Lbs6 ft12.043,746,875$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
89,925,001$66,700,000$33,475,000$20,575,000$6,375,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Claude Giroux40122
2Brad MarchandLogan CoutureSean Monahan30122
3Nic DowdNick SchmaltzLars Eller20122
4Jordan MartinookKeegan Kolesar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangDarnell Nurse40122
2Radko GudasChristopher Tanev30122
3John MarinoCalvin deHaan20122
4Kristopher LetangDarnell Nurse10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Claude Giroux60122
2Brad MarchandLogan CoutureSean Monahan40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasChristopher Tanev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Brad MarchandClaude Giroux40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasChristopher Tanev40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Kristopher LetangDarnell Nurse60122
240122Radko GudasChristopher Tanev40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Brad MarchandClaude Giroux40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangDarnell Nurse60122
2Radko GudasChristopher Tanev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Claude GirouxKristopher LetangDarnell Nurse
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Claude GirouxKristopher LetangDarnell Nurse
Extra Forwards
Normal PowerPlayPenalty Kill
Michael Eyssimont, Nick Schmaltz, Lars EllerMichael Eyssimont, Nick SchmaltzLars Eller
Extra Defensemen
Normal PowerPlayPenalty Kill
John Marino, Calvin deHaan, Radko GudasJohn MarinoCalvin deHaan, Radko Gudas
Penalty Shots
, , Brad Marchand, Claude Giroux, Sean Monahan
Goalie
#1 : Ilya Sorokin, #2 : Martin Jones


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
1Predators6420000027207321000001612432100000118380.66727497600881102307791584213646913738615.79%28871.43%027449055.92%23848349.28%13923359.66%14498144457738
2Stars743000003132-1422000001823-532100000139480.571315485001071312316179847215679512334823.53%371072.97%027449055.92%23848349.28%13923359.66%174120162499046
Total13850000058526743000003435-16420000024177160.6155810316100181524146113817014211428131164260721419.44%651872.31%027449055.92%23848349.28%13923359.66%3182183079516785
_Since Last GM Reset13850000058526743000003435-16420000024177160.6155810316100181524146113817014211428131164260721419.44%651872.31%027449055.92%23848349.28%13923359.66%3182183079516785
_Vs Conference13850000058526743000003435-16420000024177160.6155810316100181524146113817014211428131164260721419.44%651872.31%027449055.92%23848349.28%13923359.66%3182183079516785
_Vs Division13850000058526743000003435-16420000024177160.6155810316100181524146113817014211428131164260721419.44%651872.31%027449055.92%23848349.28%13923359.66%3182183079516785

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1316W35810316146142813116426000
All Games
GPWLOTWOTL SOWSOLGFGA
138500005852
Home Games
GPWLOTWOTL SOWSOLGFGA
74300003435
Visitor Games
GPWLOTWOTL SOWSOLGFGA
64200002417
Last 10 Games
WLOTWOTL SOWSOL
531100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
721419.44%651872.31%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
138170142111815241
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27449055.92%23848349.28%13923359.66%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3182183079516785


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
25Stars6Blues8BWBoxScore
413Stars8Blues3BLBoxScore
621Blues6Stars2AWBoxScore
829Blues4Stars3AWBoxScore
1037Stars5Blues2BLBoxScore
1245Blues3Stars4ALBoxScore
1453Stars4Blues5BWXBoxScore
1659Predators5Blues4BLXBoxScore
1863Predators2Blues6BWBoxScore
2067Blues3Predators4ALBoxScore
2271Blues3Predators2AWBoxScore
2475Predators5Blues6BWBoxScore
2679Blues5Predators2AWBoxScore


Depth Chart
Left WingCenterRight Wing
Zach Hyman
Zach Hyman
AGE:32
SK:91
EN:87
DU:98
PH:84
PA:64
SC:99
DF:78
Brad Marchand
Brad Marchand
AGE:36
SK:93
EN:87
DU:99
PH:79
PA:78
SC:79
DF:78
Nic Dowd
Nic Dowd
AGE:34
SK:80
EN:80
DU:87
PH:59
PA:53
SC:65
DF:87
Jordan Martinook
Jordan Martinook
AGE:32
SK:81
EN:79
DU:99
PH:61
PA:58
SC:64
DF:78
Michael Eyssimont
Michael Eyssimont
AGE:28
SK:80
EN:74
DU:98
PH:58
PA:54
SC:61
DF:71
Drake Caggiula
Drake Caggiula
AGE:30
SK:82
EN:60
DU:50
PH:60
PA:66
SC:55
DF:59
Matthew Nieto
Matthew Nieto
AGE:32
SK:78
EN:74
DU:58
PH:52
PA:51
SC:54
DF:75
Brett Murray
Brett Murray
AGE:26
SK:75
EN:63
DU:53
PH:49
PA:43
SC:56
DF:56
Samuel Laberge
Samuel Laberge
AGE:27
SK:75
EN:68
DU:58
PH:38
PA:38
SC:38
DF:61
Carsen Twarynski
Carsen Twarynski
AGE:27
SK:75
EN:60
DU:50
PH:37
PA:32
SC:42
DF:61
Grant Mismash
Grant Mismash
AGE:25
SK:75
EN:60
DU:50
PH:34
PA:29
SC:39
DF:50
Claude Giroux
Claude Giroux
AGE:36
SK:91
EN:88
DU:99
PH:77
PA:83
SC:71
DF:80
Logan Couture
Logan Couture
AGE:35
SK:89
EN:60
DU:50
PH:79
PA:80
SC:77
DF:88
Nick Schmaltz
Nick Schmaltz
AGE:28
SK:90
EN:87
DU:97
PH:77
PA:80
SC:73
DF:74
Lane Pederson
Lane Pederson
AGE:27
SK:80
EN:75
DU:65
PH:57
PA:57
SC:57
DF:70
Nick Bonino
Nick Bonino
AGE:36
SK:75
EN:75
DU:74
PH:50
PA:47
SC:52
DF:84
Liam Foudy
Liam Foudy
AGE:24
SK:77
EN:71
DU:52
PH:54
PA:59
SC:50
DF:61
Josh Lopina
Josh Lopina
AGE:23
SK:75
EN:78
DU:68
PH:39
PA:31
SC:47
DF:50
Tyler Angle
Tyler Angle
AGE:24
SK:75
EN:60
DU:50
PH:41
PA:36
SC:46
DF:50
Jack Badini
Jack Badini
AGE:26
SK:75
EN:60
DU:50
PH:31
PA:29
SC:34
DF:50
Sam Reinhart
Sam Reinhart
AGE:29
SK:96
EN:89
DU:99
PH:92
PA:77
SC:99
DF:94
Sean Monahan
Sean Monahan
AGE:30
SK:86
EN:85
DU:99
PH:74
PA:73
SC:76
DF:79
Lars Eller
Lars Eller
AGE:35
SK:79
EN:81
DU:99
PH:61
PA:56
SC:65
DF:86
Keegan Kolesar
Keegan Kolesar
AGE:27
SK:75
EN:73
DU:97
PH:54
PA:50
SC:58
DF:69
Will Bitten
Will Bitten
AGE:26
SK:75
EN:77
DU:67
PH:45
PA:39
SC:51
DF:50
Serron Noel
Serron Noel
AGE:24
SK:75
EN:60
DU:50
PH:38
PA:39
SC:36
DF:55

Defense #1Defense #2Goalie
Kristopher Letang
Kristopher Letang
AGE:37
SK:87
EN:91
DU:99
PH:73
PA:81
SC:65
DF:88
Darnell Nurse
Darnell Nurse
AGE:29
SK:79
EN:86
DU:98
PH:64
PA:62
SC:65
DF:79
Radko Gudas
Radko Gudas
AGE:34
SK:79
EN:82
DU:88
PH:58
PA:55
SC:61
DF:88
Christopher Tanev
Christopher Tanev
AGE:35
SK:78
EN:82
DU:94
PH:56
PA:59
SC:53
DF:94
John Marino
John Marino
AGE:27
SK:81
EN:84
DU:94
PH:60
PA:63
SC:57
DF:84
Calvin deHaan
Calvin deHaan
AGE:33
SK:77
EN:77
DU:83
PH:53
PA:50
SC:56
DF:77
Egor Zamula
Egor Zamula
AGE:24
SK:78
EN:77
DU:88
PH:60
PA:60
SC:59
DF:73
Nikita Okhotyuk
Nikita Okhotyuk
AGE:24
SK:76
EN:76
DU:79
PH:52
PA:53
SC:52
DF:70
Spencer Stastney
Spencer Stastney
AGE:24
SK:79
EN:76
DU:57
PH:55
PA:48
SC:62
DF:80
Alexander Edler
Alexander Edler
AGE:38
SK:75
EN:55
DU:50
PH:53
PA:52
SC:54
DF:62
Patrik Nemeth
Patrik Nemeth
AGE:32
SK:75
EN:55
DU:50
PH:48
PA:45
SC:50
DF:65
Jack Rathbone
Jack Rathbone
AGE:25
SK:75
EN:73
DU:68
PH:43
PA:39
SC:46
DF:70
Noel Hoefenmayer
Noel Hoefenmayer
AGE:25
SK:75
EN:55
DU:50
PH:44
PA:39
SC:48
DF:66
Markus Niemelainen
Markus Niemelainen
AGE:26
SK:75
EN:55
DU:50
PH:31
PA:29
SC:34
DF:62
Dmitry Semykin
Dmitry Semykin
AGE:24
SK:75
EN:55
DU:50
PH:25
PA:20
SC:30
DF:51
Ilya Sorokin
Ilya Sorokin
AGE:29
SK:89
AG:76
RB:78
SC:79
HS:80
RT:77
DF:78
Martin Jones
Martin Jones
AGE:34
SK:85
AG:74
RB:75
SC:76
HS:74
RT:76
DF:75
Mike Smith
Mike Smith
AGE:42
SK:81
AG:61
RB:65
SC:66
HS:66
RT:67
DF:71
Aaron Dell
Aaron Dell
AGE:35
SK:81
AG:58
RB:61
SC:61
HS:60
RT:61
DF:59
Landon Bow
Landon Bow
AGE:29
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Beck Warm
Beck Warm
AGE:25
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
Adam EngstromBlues2036104
Jacob LeguerrierBlues2033161
Lukas FischerBlues203882
Patrick HolwayBlues2032168

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2040
2041



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
4Shane Doan527183243426-11963814101138182910.01%1801329925.245610115752594136622735.24%00.64750
5Nick Schmaltz393145233378513466828128711.27%77759219.3231891203165382319450.05%61.00216

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
4Devan Dubnyk1437251180.9102.90850614141145431903820.72892
5Ilya Sorokin81602010.9122.64478210621023870520.88217

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
Total Regular Season164064371806456837652245483-25982033635002730423526552683-2882030736803726414125692800-231161452249066142902650276170317041409510831950163351719515151529821564921782375457654153019.99%8216169179.42%90280515589350.19%273765789547.29%128852641348.78%376502470039261130932270711252
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
203813850000058526743000003435-16420000024177165810316100181524146113817014211428131164260721419.44%651872.31%027449055.92%23848349.28%13923359.66%3182183079516785
Total Playoff1085949000003873483954272700000203198554322200000184150341183876891076113712314479355532511411153845349810601221239456411520.39%5049481.35%51993405349.17%1943399648.62%924183750.30%2651179526068351447732

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 Reinhart562632581104110520612.62%14112820.14712194500035150.78%01.0300
2Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300
3Jared Spurgeon469394871234881137.96%70106923.2671118730003200.00%00.9000
4Claude Giroux261425392419948915.73%1461723.77411152300013255.99%01.2600
5Morgan Rielly396323811303945738.22%5588622.7201111481011000.00%00.8600

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
2Connor Hellebuyck1511300.8993.2285800464570000.0000
3Ilya Sorokin138410.8833.7977600494190000.0000
4Devan Dubnyk73220.9152.794510021248108100.0000
5Juuse Saros113530.9063.0467200343620010.0000