Login

St.Louis Blues
GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 15
GF: 36 | GA: 24 | PP%: 21.74% | PK%: 88.24%
GM : Louis-Félix Roberge | Morale : 40 | Team Overall : 74
#182 vs Montreal Canadiens
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
St.Louis Blues
7-2-1, 15pts
3
FINAL
1 Vancouver Canucks
4-6-1, 9pts
Team Stats
L1StreakW1
4-1-1Home Record3-3-0
3-1-0Away Record1-3-1
7-2-1Last 10 Games3-6-1
3.60Goals Per Game1.82
2.40Goals Against Per Game2.64
21.74%Power Play Percentage3.85%
88.24%Penalty Kill Percentage95.00%
Seattle Kraken
5-6-0, 10pts
4
FINAL
3 St.Louis Blues
7-2-1, 15pts
Team Stats
W1StreakL1
3-2-0Home Record4-1-1
2-4-0Away Record3-1-0
4-6-0Last 10 Games7-2-1
2.55Goals Per Game3.60
2.82Goals Against Per Game2.40
15.38%Power Play Percentage21.74%
89.66%Penalty Kill Percentage88.24%
St.Louis Blues
7-2-1, 15pts
Day 25
Montreal Canadiens
8-2-1, 17pts
Team Stats
L1StreakW2
4-1-1Home Record4-1-0
3-1-0Away Record4-1-1
7-2-1Last 10 Games7-2-1
3.60Goals Per Game3.09
2.40Goals Against Per Game3.09
21.74%Power Play Percentage4.35%
88.24%Penalty Kill Percentage97.06%
St.Louis Blues
7-2-1, 15pts
Day 26
Buffalo Sabres
3-6-2, 8pts
Team Stats
L1StreakL2
4-1-1Home Record2-2-2
3-1-0Away Record1-4-0
7-2-1Last 10 Games2-6-2
3.60Goals Per Game1.91
2.40Goals Against Per Game1.91
21.74%Power Play Percentage9.52%
88.24%Penalty Kill Percentage76.92%
Detroit Red Wings
2-8-0, 4pts
Day 28
St.Louis Blues
7-2-1, 15pts
Team Stats
L3StreakL1
1-5-0Home Record4-1-1
1-3-0Away Record3-1-0
2-8-0Last 10 Games7-2-1
1.70Goals Per Game3.60
3.00Goals Against Per Game3.60
11.76%Power Play Percentage21.74%
82.14%Penalty Kill Percentage88.24%
Team Leaders
Goals
Brayden Point
7
Assists
Clayton Keller
9
Points
Clayton Keller
15
Plus/Minus
Alex Killorn
10
Wins
Anton Forsberg
7
Save Percentage
Anton Forsberg
0.912

Team Stats
Goals For
36
3.60 GFG
Shots For
310
31.00 Avg
Power Play Percentage
21.7%
5 GF
Offensive Zone Start
39.3%
Goals Against
24
2.40 GAA
Shots Against
262
26.20 Avg
Penalty Kill Percentage
88.2%%
2 GA
Defensive Zone Start
34.2%
Team Info

General ManagerLouis-Félix Roberge
CoachD.J. Smith
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameEnterprise center
Capacity18,000
Attendance16,965
Season Tickets7,200


Roster Info

Pro Team20
Farm Team20
Contract Limit40 / 50
Prospects8


Salary Cap

Estimated Season Salary Cap82,700,000$
Available Salary Cap800,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue3,660,161$
Year To Date Expenses10,904,100$
Estimated Season Revenue21,350,939$
Estimated Season Expenses71,854,167$
Current Bank Account1,003,830$
Projected Bank Account-61,400,989$


Team History

This Season7-2-1 (15PTS)
History63-25-8 (0.656%)
Playoff Appearances2
Playoff Record (W-L)4-8
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
1Brayden PointXX100.006850928879909897818687739868770407902669,500,000$
2Clayton KellerXXX100.006250908784909982698884779568620407802427,150,000$
3Nico HischierX100.006650938584899981838981839262610407802427,250,000$
4Alex KillornXX100.006950888281889976358480819684890407503386,250,000$
5Anthony CirelliXXX100.006850877982889561798177859061780407302586,250,000$
6Dominik KubalikXX100.007150927874859984357977719056620407302722,500,000$
7Frederick GaudreauXX100.006650947980869961808077829158640407202982,625,000$
8Barclay GoodrowXXX100.007650877780859953787875839170750407102923,650,000$
9Rafael Harvey-PinardX100.007850927782877068357579799550600407102341,100,000$
10Blake ColemanXXX100.007750887779859951667777808865720407003124,900,000$
11Rudolfs BalcersX100.00765092767684805135767677915560040680251750,000$
12Jack Drury (R)X100.00645091747581705686757376845060040670222925,000$
13Darnell NurseX100.008250877886949959358274918470650407702769,250,000$
14Mattias EkholmX100.007150907784929961358073898479780407503266,250,000$
15Justin HollX100.008050907583909950357871898357630407403064,250,000$
16Derek ForbortX100.007850907383889450357472898867650407303023,000,000$
17Rasmus SandinX100.007850917777889268358073778952610407202221,400,000$
18Robert BortuzzoX100.00775089727983905035727184837171040700332950,000$
Scratches
Farm Team
1Curtis LazarXX100.008750927377829150807373788667640406702741,000,000$
2Greg McKeggXXX100.00725093767891995078727275896065040670302765,000$
3Matt LuffX100.00725094747380715135747473905360040650252775,000$
4Austin PoganskiX100.00755092707879755035707071795060040630261750,000$
5Chase PearsonX100.00735095686077715080707072795060040620251917,831$
6Cole ReinhardtX100.00805075706079705035707071795060040620222815,000$
7Jeff MalottX100.00885075706574705035707070775060040620262765,000$
8Jean-Sebastien DeaXX100.00605088696076705073707065795290040610282765,000$
9Matthew StromeX100.00793592608870755854576056546362040580242775,000$
10Mason PrimeauX100.00813986569073785461595061536264040570212825,000$
11Chad YetmanX100.00593593596872775852605657556163040560221750,000$
12Justin BrazeauX100.00847689539366715352515659556563040550241750,000$
13Sami NikuX100.00635090738385756135777077795360040680261750,000$
14Taylor FedunX100.00595091767770686435737071528273040650342765,000$
15Cameron CrottyX100.00683592578078835430565261456362040590232775,000$
16Jonathan AspirotX100.00655669607474795830595756486965040570231768,333$
17Mitchell Vande SompelX100.0063398659728671573058525645676404057025277,500$
18Ryan SheaX100.00643986567373785430575155486764040560252775,000$
TEAM AVERAGE100.0072498972788285595173707478626604067
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
1Anton Forsberg100.00909294929390889489899069830408703042,750,000$
2Joonas Korpisalo100.008888898890828986928789776304085N02812,000,000$
Scratches
Farm Team
1Mads Sogaard100.0084767795818685908790845060040820222925,000$
2Michael Houser100.0080727180778278817977785360040750302775,000$
TEAM AVERAGE100.008682838985858588878685626704082
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
D.J. Smith85858585858585CAN4711,000,000$


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
1Clayton KellerSt.Louis BluesC/LW/RW106915920483482717.65%319319.37123221000000025.00%12216001.5511000112
2Brayden PointSt.Louis BluesC/RW10761390013941202317.07%219719.71022421000022151.95%154111011.3201000201
3Alex KillornSt.Louis BluesLW/RW10391210201110275911.11%318718.70112414000000025.00%1294001.2800000011
4Nico HischierSt.Louis BluesC10561132013152632519.23%619119.161233210000140049.31%144162001.1501000200
5Frederick GaudreauSt.Louis BluesC/RW102790201210185911.11%115615.620220140001150052.63%95113001.1500000001
6Rafael Harvey-PinardSt.Louis BluesLW102571201551671212.50%112912.9400000000001014.29%751001.0800000000
7Darnell NurseSt.Louis BluesD10044120272314950%1225425.48000523000117000%016000.3100000001
8Mattias EkholmSt.Louis BluesD10134320192013797.69%1423123.13101222000016000%0111000.3500000010
9Anthony CirelliSt.Louis BluesC/LW/RW10033100714133120%017617.670114180001210044.07%59124000.3400000000
10Barclay GoodrowSt.Louis BluesC/LW/RW10123-14015842425.00%313413.44000000000120033.33%360000.4500000001
11Jack DrurySt.Louis BluesC10033-5202710290%1999.9200000000000040.74%5440000.6000000010
12Derek ForbortSt.Louis BluesD101236202114104210.00%1522922.94000113000012100%0211000.2600000010
13Dominik KubalikSt.Louis BluesLW/RW1003312013313580%113413.4700000000000033.33%391000.4500000000
14Blake ColemanSt.Louis BluesC/LW/RW10202-20071120111810.00%2929.2600000000011042.86%35121000.4300000100
15Justin HollSt.Louis BluesD11101-600102512428.33%1617816.2000000000020000%0010000.1100000000
16Robert BortuzzoSt.Louis BluesD1010120091574114.29%814414.420000000001100%005000.1400000000
17Rasmus SandinSt.Louis BluesD10000-400111414450%716616.6200001400000000%02500000000000
18Rudolfs BalcersSt.Louis BluesLW10000-22011661100%2919.19000000000000100.00%214200000000000
Team Total or Average1813262942626022021729810419010.74%97298816.51410142518400031356147.41%58013673010.6313000657
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
1Anton ForsbergSt.Louis Blues107210.9122.276090123262134000.3333100022
Team Total or Average107210.9122.276090123262134003100022


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 Waiver Possible Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alex KillornSt.Louis BluesLW/RW331989-09-14No199 Lbs6 ft1NoNoNoNo8Pro & Farm6,250,000$6,250,000$5,430,328$No6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$Link
Anthony CirelliSt.Louis BluesC/LW/RW251997-07-15No191 Lbs6 ft0NoNoNoNo8Pro & Farm6,250,000$6,250,000$5,430,328$No6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$Link
Anton ForsbergSt.Louis BluesG301992-11-27No176 Lbs6 ft2NoNoNoYes4Pro & Farm2,750,000$2,750,000$2,389,344$No2,750,000$2,750,000$2,750,000$Link
Barclay GoodrowSt.Louis BluesC/LW/RW291993-02-26No203 Lbs6 ft2NoNoNoNo2Pro & Farm3,650,000$3,650,000$3,171,311$No3,650,000$Link
Blake ColemanSt.Louis BluesC/LW/RW311991-11-28No207 Lbs5 ft11NoNoNoYes2Pro & Farm4,900,000$4,900,000$4,257,377$No4,900,000$Link
Brayden PointSt.Louis BluesC/RW261996-03-13No183 Lbs5 ft10NoNoNoNo6Pro & Farm9,500,000$9,500,000$8,254,098$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$Link
Clayton KellerSt.Louis BluesC/LW/RW241998-07-29No170 Lbs5 ft10NoNoNoNo2Pro & Farm7,150,000$7,150,000$6,212,295$No7,150,000$Link
Darnell NurseSt.Louis BluesD271995-02-04No221 Lbs6 ft4NoNoNoNo6Pro & Farm9,250,000$9,250,000$8,036,885$No9,250,000$9,250,000$9,250,000$9,250,000$9,250,000$Link
Derek ForbortSt.Louis BluesD301992-03-04No219 Lbs6 ft4NoNoNoNo2Pro & Farm3,000,000$3,000,000$2,606,557$No3,000,000$Link
Dominik KubalikSt.Louis BluesLW/RW271995-08-21No179 Lbs6 ft2NoNoNoNo2Pro & Farm2,500,000$2,500,000$2,172,131$No2,500,000$Link
Frederick GaudreauSt.Louis BluesC/RW291993-05-01No179 Lbs6 ft0NoNoNoNo8Pro & Farm2,625,000$2,625,000$2,280,738$No2,625,000$2,625,000$2,625,000$2,625,000$2,625,000$2,625,000$2,625,000$Link
Jack DrurySt.Louis BluesC222000-02-03 08:23:43Yes170 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$925,000$803,689$No925,000$
Joonas KorpisaloSt.Louis BluesG281994-04-28No192 Lbs6 ft3YesNoNoYes1Pro & Farm2,000,000$2,000,000$1,737,705$NoLink
Justin HollSt.Louis BluesD301992-01-30No210 Lbs6 ft4NoNoNoNo6Pro & Farm4,250,000$4,250,000$3,692,623$No4,250,000$4,250,000$4,250,000$4,250,000$4,250,000$Link
Mattias EkholmSt.Louis BluesD321990-05-24No215 Lbs6 ft4NoNoNoNo6Pro & Farm6,250,000$6,250,000$5,430,328$No6,250,000$6,250,000$6,250,000$6,250,000$6,250,000$Link
Nico HischierSt.Louis BluesC241999-01-04No175 Lbs6 ft1NoNoNoNo2Pro & Farm7,250,000$7,250,000$6,299,180$No7,250,000$Link
Rafael Harvey-PinardSt.Louis BluesLW231999-06-01No170 Lbs5 ft9NoNoNoNo4Pro & Farm1,100,000$1,100,000$955,738$No1,100,000$1,100,000$1,100,000$Link
Rasmus SandinSt.Louis BluesD222000-03-07No183 Lbs5 ft11NoNoNoNo2Pro & Farm1,400,000$1,400,000$1,216,393$No1,400,000$Link
Robert BortuzzoSt.Louis BluesD331989-03-18No216 Lbs6 ft4NoNoNoYes2Pro & Farm950,000$950,000$825,410$No950,000$Link
Rudolfs BalcersSt.Louis BluesLW251997-04-08No180 Lbs5 ft11NoNoNoYes1Pro & Farm750,000$750,000$651,639$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2027.50192 Lbs6 ft13.804,135,000$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
82,700,000$79,950,000$48,225,000$48,225,000$44,375,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex KillornBrayden PointClayton Keller40005
2Rafael Harvey-PinardNico HischierAnthony Cirelli34005
3Dominik KubalikFrederick GaudreauBarclay Goodrow18005
4Rudolfs BalcersJack DruryBlake Coleman8041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin HollDarnell Nurse42023
2Mattias EkholmRasmus Sandin33041
3Robert BortuzzoDerek Forbort20140
4Mattias EkholmDarnell Nurse5005
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clayton KellerNico HischierBrayden Point70005
2Alex KillornFrederick GaudreauAnthony Cirelli30005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Darnell NurseRasmus Sandin70005
2Mattias EkholmJustin Holl30005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nico HischierAnthony Cirelli50050
2Frederick GaudreauBarclay Goodrow50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mattias EkholmDarnell Nurse50050
2Derek ForbortJustin Holl50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nico Hischier50050Mattias EkholmDarnell Nurse50050
2Anthony Cirelli50050Derek ForbortJustin Holl50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brayden PointClayton Keller50032
2Nico HischierAnthony Cirelli50032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin HollDarnell Nurse50032
2Mattias EkholmRasmus Sandin50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Clayton KellerNico HischierBrayden PointMattias EkholmDarnell Nurse
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony CirelliNico HischierFrederick GaudreauMattias EkholmDarnell Nurse
Extra Forwards
Normal PowerPlayPenalty Kill
Brayden Point, Nico Hischier, Clayton KellerAnthony Cirelli, Brayden PointBlake Coleman
Extra Defensemen
Normal PowerPlayPenalty Kill
Darnell Nurse, Mattias Ekholm, Derek ForbortDerek ForbortJustin Holl, Robert Bortuzzo
Penalty Shots
Brayden Point, Clayton Keller, Nico Hischier, Anthony Cirelli, Alex Killorn
Goalie
#1 : Joonas Korpisalo, #2 : Anton Forsberg, #3 : 0
Custom OT Lines Forwards
Brayden Point, Clayton Keller, Nico Hischier, Anthony Cirelli, Frederick Gaudreau, Alex Killorn, Alex Killorn, Barclay Goodrow, Dominik Kubalik, Blake Coleman, Rafael Harvey-Pinard
Custom OT Lines Defensemen
Darnell Nurse, Mattias Ekholm, Rasmus Sandin, Justin Holl, Derek Forbort


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
1Anaheim Ducks11000000431000000000001100000043121.0004610001120341213902310224000%10100.00%08919146.60%8616651.81%6012946.51%2417207147
2Boston Bruins11000000312110000003120000000000021.0003690012003716912026104233266.67%20100.00%08919146.60%8616651.81%6012946.51%2619197136
3Carolina Hurricanes10001000431000000000001000100043121.0004812001021321171042918624300.00%20100.00%08919146.60%8616651.81%6012946.51%2113287157
4Chicago Blackhawks11000000532110000005320000000000021.000591400032036421110256621200.00%30100.00%08919146.60%8616651.81%6012946.51%2213218168
5Columbus Blue Jackets1000000134-11000000134-10000000000010.5003580030013288127319224200.00%10100.00%08919146.60%8616651.81%6012946.51%2112259189
6Edmonton Oilers11000000312110000003120000000000021.000369003000331511702150214250.00%000%08919146.60%8616651.81%6012946.51%2821176137
7San Jose Sharks11000000606110000006060000000000021.000611170132102414370218427100.00%20100.00%08919146.60%8616651.81%6012946.51%2114218167
8Seattle Kraken1010000034-11010000034-10000000000000.0003690011102616820317417200.00%2150.00%08919146.60%8616651.81%6012946.51%2114247147
9Vancouver Canucks11000000312000000000001100000031221.0003580011103071580248225100.00%10100.00%08919146.60%8616651.81%6012946.51%2013228168
10Vegas Golden Knights1010000024-2000000000001010000024-200.00024600011026581303176235120.00%3166.67%08919146.60%8616651.81%6012946.51%2114237147
Total106201001362412641000012313104210100013112150.75036661020114111023101081039111262883622923521.74%17288.24%08919146.60%8616651.81%6012946.51%2301542247815477
_Since Last GM Reset106201001362412641000012313104210100013112150.75036661020114111023101081039111262883622923521.74%17288.24%08919146.60%8616651.81%6012946.51%2301542247815477
_Vs Conference7520000026161043100000178932100000981100.7142647730199802097379570176512415815320.00%12283.33%08919146.60%8616651.81%6012946.51%1611091515410653
_Vs Division11000000532110000005320000000000021.000591400032036421110256621200.00%30100.00%08919146.60%8616651.81%6012946.51%2213218168

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1015L13666102310262883622901
All Games
GPWLOTWOTL SOWSOLGFGA
106210013624
Home Games
GPWLOTWOTL SOWSOLGFGA
64100012313
Visitor Games
GPWLOTWOTL SOWSOLGFGA
42110001311
Last 10 Games
WLOTWOTL SOWSOL
621001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23521.74%17288.24%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
10810391111411102
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8919146.60%8616651.81%6012946.51%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2301542247815477


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
17Chicago Blackhawks3St.Louis Blues5BWBoxScore
317St.Louis Blues4Anaheim Ducks3AWBoxScore
534St.Louis Blues4Carolina Hurricanes3AWXBoxScore
750San Jose Sharks0St.Louis Blues6BWBoxScore
964St.Louis Blues2Vegas Golden Knights4ALBoxScore
1180Edmonton Oilers1St.Louis Blues3BWBoxScore
14104Boston Bruins1St.Louis Blues3BWBoxScore
18130Columbus Blue Jackets4St.Louis Blues3BLXXBoxScore
20143St.Louis Blues3Vancouver Canucks1AWBoxScore
23165Seattle Kraken4St.Louis Blues3BLBoxScore
25182St.Louis Blues-Montreal Canadiens-
26196St.Louis Blues-Buffalo Sabres-
28207Detroit Red Wings-St.Louis Blues-
30227Pittsburgh Penguins-St.Louis Blues-
34256St.Louis Blues-Washington Capitals-
35263Seattle Kraken-St.Louis Blues-
39290New York Islanders-St.Louis Blues-
41308St.Louis Blues-Edmonton Oilers-
43321New York Rangers-St.Louis Blues-
45336St.Louis Blues-Anaheim Ducks-
47353Philadephia Flyers-St.Louis Blues-
51377St.Louis Blues-Carolina Hurricanes-
52387Boston Bruins-St.Louis Blues-
55408St.Louis Blues-Winnipeg Jets-
57418Carolina Hurricanes-St.Louis Blues-
59435St.Louis Blues-Tampa Bay Lightning-
61450San Jose Sharks-St.Louis Blues-
63468St.Louis Blues-Carolina Hurricanes-
65482Ottawa Senators-St.Louis Blues-
67492St.Louis Blues-Los Angeles Kings-
69504St.Louis Blues-Chicago Blackhawks-
71519Montreal Canadiens-St.Louis Blues-
75543St.Louis Blues-New York Rangers-
77554Pittsburgh Penguins-St.Louis Blues-
80575St.Louis Blues-Montreal Canadiens-
81587Calgary Flames-St.Louis Blues-
84610Toronto Maple Leafs-St.Louis Blues-
86624St.Louis Blues-San Jose Sharks-
89641St.Louis Blues-Pittsburgh Penguins-
90654Arizona Coyotes-St.Louis Blues-
93675Tampa Bay Lightning-St.Louis Blues-
98704St.Louis Blues-New York Rangers-
99712Detroit Red Wings-St.Louis Blues-
102733St.Louis Blues-Ottawa Senators-
103743Minnesota Wild-St.Louis Blues-
106768Vegas Golden Knights-St.Louis Blues-
108781St.Louis Blues-Vegas Golden Knights-
111798St.Louis Blues-Colorado Avalanche-
112806Vancouver Canucks-St.Louis Blues-
115826St.Louis Blues-Columbus Blue Jackets-
116838New Jersey Devils-St.Louis Blues-
119862St.Louis Blues-Toronto Maple Leafs-
120870Calgary Flames-St.Louis Blues-
123889St.Louis Blues-Calgary Flames-
124901Florida Panthers-St.Louis Blues-
127924St.Louis Blues-Ottawa Senators-
128933Chicago Blackhawks-St.Louis Blues-
132961Edmonton Oilers-St.Louis Blues-
134979St.Louis Blues-Nashville Predators-
136993Dallas Stars-St.Louis Blues-
1371007St.Louis Blues-New Jersey Devils-
1401025Washington Capitals-St.Louis Blues-
1411036St.Louis Blues-Detroit Red Wings-
1431051St.Louis Blues-Florida Panthers-
1451061Anaheim Ducks-St.Louis Blues-
1471078St.Louis Blues-Boston Bruins-
1501091Columbus Blue Jackets-St.Louis Blues-
1521102St.Louis Blues-Washington Capitals-
1541121St.Louis Blues-New York Islanders-
1551128New York Islanders-St.Louis Blues-
Trade Deadline --- Trades can’t be done after this day is simulated!
1571146St.Louis Blues-Buffalo Sabres-
1581156St.Louis Blues-New Jersey Devils-
1601167Los Angeles Kings-St.Louis Blues-
1631188St.Louis Blues-Philadephia Flyers-
1641193St.Louis Blues-Florida Panthers-
1661207Toronto Maple Leafs-St.Louis Blues-
1681223St.Louis Blues-Philadephia Flyers-
1701234Tampa Bay Lightning-St.Louis Blues-
1711244St.Louis Blues-Seattle Kraken-
1751266Buffalo Sabres-St.Louis Blues-
1761277St.Louis Blues-Vancouver Canucks-
1811303Los Angeles Kings-St.Louis Blues-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100603525200
Attendance33,47429,28211,04922,3505,635
Attendance PCT92.98%97.61%92.08%93.13%93.92%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
35 16965 - 94.25% 610,027$3,660,161$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
10,904,100$ 82,700,000$ 925,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
82,700,000$ 10,904,100$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
21,350,939$ 159 451,913$ 71,854,167$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
85,169,327$ 1,003,830$ -61,400,989$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
82,700,000$ 800,000$ 83,500,000$ 21,000,000$



Depth Chart

Left WingCenterRight Wing
Clayton KellerAGE:24PO:0OV:78
Alex KillornAGE:33PO:0OV:75
Anthony CirelliAGE:25PO:0OV:73
Dominik KubalikAGE:27PO:0OV:73
Barclay GoodrowAGE:29PO:0OV:71
Rafael Harvey-PinardAGE:23PO:0OV:71
Blake ColemanAGE:31PO:0OV:70
Rudolfs BalcersAGE:25PO:0OV:68
Greg McKeggAGE:30PO:0OV:67
Cole ReinhardtAGE:22PO:0OV:62
Jeff MalottAGE:26PO:0OV:62
Matthew StromeAGE:24PO:0OV:58
Brayden PointAGE:26PO:0OV:79
Clayton KellerAGE:24PO:0OV:78
Nico HischierAGE:24PO:0OV:78
Anthony CirelliAGE:25PO:0OV:73
Frederick GaudreauAGE:29PO:0OV:72
Barclay GoodrowAGE:29PO:0OV:71
Blake ColemanAGE:31PO:0OV:70
Curtis LazarAGE:27PO:0OV:67
Jack Drury (R)AGE:22PO:0OV:67
Greg McKeggAGE:30PO:0OV:67
Chase PearsonAGE:25PO:0OV:62
Jean-Sebastien DeaAGE:28PO:0OV:61
Mason PrimeauAGE:21PO:0OV:57
Brayden PointAGE:26PO:0OV:79
Clayton KellerAGE:24PO:0OV:78
Alex KillornAGE:33PO:0OV:75
Anthony CirelliAGE:25PO:0OV:73
Dominik KubalikAGE:27PO:0OV:73
Frederick GaudreauAGE:29PO:0OV:72
Barclay GoodrowAGE:29PO:0OV:71
Blake ColemanAGE:31PO:0OV:70
Curtis LazarAGE:27PO:0OV:67
Greg McKeggAGE:30PO:0OV:67
Matt LuffAGE:25PO:0OV:65
Austin PoganskiAGE:26PO:0OV:63
Jean-Sebastien DeaAGE:28PO:0OV:61
Chad YetmanAGE:22PO:0OV:56
Justin BrazeauAGE:24PO:0OV:55

Defense #1Defense #2Goalie
Darnell NurseAGE:27PO:0OV:77
Mattias EkholmAGE:32PO:0OV:75
Justin HollAGE:30PO:0OV:74
Derek ForbortAGE:30PO:0OV:73
Rasmus SandinAGE:22PO:0OV:72
Robert BortuzzoAGE:33PO:0OV:70
Sami NikuAGE:26PO:0OV:68
Taylor FedunAGE:34PO:0OV:65
Cameron CrottyAGE:23PO:0OV:59
Jonathan AspirotAGE:23PO:0OV:57
Mitchell Vande SompelAGE:25PO:0OV:57
Ryan SheaAGE:25PO:0OV:56
Anton ForsbergAGE:30PO:0OV:87
Joonas KorpisaloAGE:28PO:0OV:85
Mads SogaardAGE:22PO:0OV:82
Michael HouserAGE:30PO:0OV:75

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
ProspectTeam NameDraft YearOverall PickInformationLink
Alexander PetuninSt.Louis Blues00
Brennan OthmannSt.Louis Blues00
Damir ZhafyarovSt.Louis Blues00
Denis AlexeyevSt.Louis Blues00
Kirrill SemyonovSt.Louis Blues00
Konstantin OkulovSt.Louis Blues00
Mason BeaupitSt.Louis Blues2022139
Simon KnakSt.Louis Blues00

Draft Picks

Year R1R2R3R4R5
7
9




The STHS News Database File was not found or corrupted. Please create one from the League News Management or the STHS.




St.Louis Blues Trade History

[2023-09-29 07:51:40] - TRADE : From St.Louis Blues to Nashville Predators : Jamie Oleksiak (73).
[2023-09-29 07:51:40] - TRADE : From Nashville Predators to St.Louis Blues : Justin Holl (74).
[2023-09-22 08:33:41] - TRADE : From St.Louis Blues to San Jose Sharks : Alex Pietrangelo (78), Cal Clutterbuck (69), Alex Goligoski (72), Zach Hyman (77).
[2023-09-22 08:33:41] - TRADE : From San Jose Sharks to St.Louis Blues : Anthony Cirelli (73), Darnell Nurse (77), Rasmus Sandin (72), Jack Drury (67).
[2023-09-11 12:55:22] - Michael Houser was added to St.Louis Blues.
[2023-09-11 12:55:16] - Matthew Strome was added to St.Louis Blues.
[2023-09-11 12:55:07] - Mitchell Vande Sompel was added to St.Louis Blues.
[2023-09-10 07:05:27] - TRADE : From St.Louis Blues to Florida Panthers : Daniil Miromanov, Arturs Silovs, Y:5-RND:4-NJD, Y:5-RND:4-STL.
[2023-09-10 07:05:27] - TRADE : From Florida Panthers to St.Louis Blues : Dominik Kubalik, Derek Forbort.
[2023-09-10 07:04:51] - TRADE : From St.Louis Blues to New York Rangers : Steven Stamkos, Brandon Carlo.
[2023-09-10 07:04:51] - TRADE : From New York Rangers to St.Louis Blues : Jamie Oleksiak, Nico Hischier.
[2023-09-06 20:37:14] - Joonas Korpisalo was added to St.Louis Blues.
[2023-08-15 06:47:13] - Pierre-Edouard Bellemare was released.
[2023-08-15 06:47:13] - St.Louis Blues paid 0 $ to release Pierre-Edouard Bellemare.
[2023-08-15 06:47:09] - Kyle Rau was released.
[2023-08-15 06:47:09] - St.Louis Blues paid 0 $ to release Kyle Rau.
[2023-08-15 06:47:05] - David Rittich was released.
[2023-08-15 06:47:05] - St.Louis Blues paid 0 $ to release David Rittich.
[2023-08-15 06:47:02] - Corey Perry was released.
[2023-08-15 06:47:02] - St.Louis Blues paid 0 $ to release Corey Perry.
[2023-08-15 06:46:57] - Cody Ceci was released.
[2023-08-15 06:46:57] - St.Louis Blues paid 0 $ to release Cody Ceci.



[2023-09-29 07:51:40] TRADE : From St.Louis Blues to Nashville Predators : Jamie Oleksiak (73).
[2023-09-29 07:51:40] TRADE : From Nashville Predators to St.Louis Blues : Justin Holl (74).
[2023-09-29 07:46:09] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, St.Louis Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-09-28 08:26:57] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-28 08:26:56] Farm Game #148 - Greg McKegg from Springfield Thunderbirds has scored a Hat Trick!
[2023-09-27 07:49:54] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-26 08:19:27] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-26 08:19:22] Successfully loaded St.Louis Blues lines done with Web Base Client and SQLite Database from IP:38.80.118.225 .
[2023-09-26 08:18:26] Successfully loaded St.Louis Blues lines done with Web Base Client and SQLite Database from IP:38.80.118.225 .
[2023-09-26 08:18:13] Successfully loaded St.Louis Blues lines done with Web Base Client and SQLite Database from IP:38.80.118.225 .
[2023-09-26 08:18:06] Successfully loaded St.Louis Blues lines done with Web Base Client and SQLite Database from IP:38.80.118.225 .
[2023-09-25 06:59:42] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-24 12:42:18] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-24 12:42:17] Farm Game #90 - Taylor Fedun from Springfield Thunderbirds has scored a Hat Trick!
[2023-09-24 12:42:15] Auto Lines Partial Function has been run for St.Louis Blues.
[2023-09-23 06:36:56] Auto Lines Partial Function has been run for St.Louis Blues.
[2023-09-22 08:33:41] TRADE : From St.Louis Blues to San Jose Sharks : Alex Pietrangelo (78), Cal Clutterbuck (69), Alex Goligoski (72), Zach Hyman (77).
[2023-09-22 08:33:41] TRADE : From San Jose Sharks to St.Louis Blues : Anthony Cirelli (73), Darnell Nurse (77), Rasmus Sandin (72), Jack Drury (67).
[2023-09-22 08:31:06] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-22 08:29:24] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, St.Louis Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-09-22 08:29:24] Farm Game #66 - Sami Niku from Springfield Thunderbirds has scored a Hat Trick!
[2023-09-22 08:29:24] Farm Game #66 - Greg McKegg from Springfield Thunderbirds has scored a Hat Trick!
[2023-09-21 08:10:00] Last 7 Days Pro Star : 1 - J.T. Miller of Calgary Flames (4-3-7) / 2 - Connor McDavid of Toronto Maple Leafs (5-3-8) / 3 - Brayden Point of St.Louis Blues (4-2-6)
[2023-09-20 06:15:59] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-19 08:17:16] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-19 08:15:18] Pro Game #17 - Brayden Point from St.Louis Blues has scored a Hat Trick!
[2023-09-18 08:18:16] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-17 20:50:56] St.Louis Blues lines for next game are empty. Current rosters/lines are not erased.
[2023-09-17 20:50:55] Last 7 Days Farm Star : 1 - Arthur Kaliyev of Cleveland Monsters (5-5-10) / 2 - Sami Niku of Springfield Thunderbirds (5-5-10) / 3 - Parker Kelly of Cleveland Monsters (3-5-8)
[2023-09-17 20:50:53] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-17 20:50:52] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-17 20:50:52] Both St.Louis Blues and Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-17 20:50:48] Both St.Louis Blues and Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.
[2023-09-17 20:48:05] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, St.Louis Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-09-17 20:48:05] Farm Game #150 - Jean-Sebastien Dea from Springfield Thunderbirds has scored a Hat Trick!
[2023-09-17 20:48:05] Farm Game #150 - Curtis Lazar from Springfield Thunderbirds has scored a Hat Trick!



No Injury or Suspension.


St.Louis Blues Players 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
1Steven Stamkos82588314154161079531618.35%19156919.149162537000015158.09%81.8015
2Kyle Connor8265641295414816531220.83%22155919.011112234700007137.50%21.6515
3Brayden Point92646312752281346834018.82%16155616.92781535000011651.55%71.6306
4Zach Hyman8243519447161228222019.55%21138216.865271000004432.76%01.3614
5Alex Pietrangelo8220486825269316315113.25%121206525.1841014162027210%00.6601

St.Louis Blues Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Anton Forsberg79512440.9002.7947170321921911151420.62129
2David Rittich1612100.8952.798390139370199100.8005

St.Louis 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
48249230413232823989412512020111831206341241102121145119261153285358632311310010814249480982484448230181436417031784223.60%1832785.25%3786149752.51%785142854.97%619113054.78%1925129518026251225616
51062010013624126410000123131042101000131121536661020114111023101081039111262883622923521.74%17288.24%08919146.60%8616651.81%6012946.51%2301542247815477
Total Regular Season92552505133364263101472913020122061337345261203121158130281303646019652412711111816280491792793559256390240019322014723.38%2002985.50%3875168851.84%871159454.64%679125953.93%2156145020277031379694
Playoff
3624000001520-530300000410-632100000111014152237005721175854246217271181371218.33%9366.67%05410949.54%4810744.86%408149.38%14093134469245
4624000001825-7321000001211130300000614-841832500037711735651642172622613618316.67%13469.23%06512452.42%5810157.43%469051.11%14599136448845
Total Playoff1248000003345-12624000001621-5624000001724-7833548700814923481419311043441334427330413.33%22768.18%011923351.07%10620850.96%8617150.29%2851932709118190

St.Louis Blues Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Kyle Connor127613-54783818.42%223719.76011600001025.00%01.1000
2Steven Stamkos125712-5220173116.13%423619.69123500001054.59%11.0200
3Brayden Point126391216144015.00%420817.36101400000153.42%10.8600
4Alex Pietrangelo12178-401518224.55%1730425.3802250001000%00.5300
5Chris Kreider6527541992520.00%410317.22101400001033.33%11.3600

St.Louis Blues Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Anton Forsberg62310.8464.513330025162820000
2Philipp Grubauer62310.8843.293650020172870000
3David Rittich20001.0000370001051000