Login

Saint-Louis Blues
GP: 13 | W: 7 | L: 4 | OTL: 2 | P: 15
GF: 40 | GA: 37 | PP%: 22.58% | PK%: 83.78%
GM : Vincent Plamondon | Morale : 40 | Team Overall : 71
Next Games #224 vs Nashville Predators
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Winnipeg Jets
5-9-0, 9pts
2
FINAL
1 Saint-Louis Blues
7-4-2, 15pts
Team Stats
L1StreakW1
2-5-0Home Record3-2-2
3-4-0Away Record4-2-0
3-7-0Last 10 Games5-3-2
2.36Goals Per Game3.08
3.36Goals Against Per Game2.85
15.00%Power Play Percentage22.58%
77.05%Penalty Kill Percentage83.78%
Saint-Louis Blues
7-4-2, 15pts
5
FINAL
1 Arizona Coyotes
7-7-0, 14pts
Team Stats
W1StreakL1
3-2-2Home Record4-3-0
4-2-0Away Record3-4-0
5-3-2Last 10 Games5-5-0
3.08Goals Per Game2.50
2.85Goals Against Per Game3.00
22.58%Power Play Percentage9.80%
83.78%Penalty Kill Percentage83.93%
Saint-Louis Blues
7-4-2, 15pts
2022-10-03
Nashville Predators
5-7-1, 11pts
Team Stats
W1StreakW3
3-2-2Home Record3-2-1
4-2-0Away Record2-5-0
5-3-2Last 10 Games4-5-1
3.08Goals Per Game2.62
2.85Goals Against Per Game2.62
22.58%Power Play Percentage20.00%
83.78%Penalty Kill Percentage81.40%
Team Leaders
Goals
Kyle Connor
8
Assists
Isac Lundestrom
10
Points
Patrik Laine
14
Plus/Minus
Patrik Laine
7
Wins
Sergei Bobrovsky
7
Save Percentage
Sergei Bobrovsky
0.918

Team Stats
Goals For
40
3.08 GFG
Shots For
376
28.92 Avg
Power Play Percentage
22.6%
7 GF
Offensive Zone Start
38.0%
Goals Against
37
2.85 GAA
Shots Against
411
31.62 Avg
Penalty Kill Percentage
83.8%%
6 GA
Defensive Zone Start
42.8%
Team Info

General ManagerVincent Plamondon
CoachDave Tippett
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameEnterprise Center
Capacity18,000
Attendance0
Season Tickets7,200


Roster Info

Pro Team20
Farm Team6
Contract Limit26 / 250
Prospects11


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap82,500,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account12,000,000$
Projected Bank Account12,000,000$


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 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 Average
1Kyle ConnorX100.0056359086768587845381896786697378407602547,142,857$
2Patrik LaineX100.0068398576938986796377826481687188407302448,700,000$
3Martin NecasX100.0062368878778789767477727378656984407202323,000,000$
4Conor GarlandX100.0059338476638790785579736576676856407102644,950,000$
5Josh BaileyX100.0058359572768890776378696671867454407103225,000,000$
6Filip ChytilX100.0055379374858287737672666474646681406802312,300,000$
7Isac LundestromX100.0062358867738689658163688266646581406802221,800,000$
8Brett HowdenX100.0070399263807983628066637966656778406702411,500,000$
9Eetu LuostarinenX100.0070369467818284658064628063646772406702421,500,000$
10Oskar LindblomX100.0065389370768382695765687271696754406702622,500,000$
11Jan JenikX100.007443716874848569706471597262636740660221795,000$
12J.J. PeterkaX100.006637866871928869646765666961628040660203855,833$
13Charlie McAvoyX100.0076397477809389763085698458677281407602489,500,000$
14Nikita ZadorovX100.0090637362998891603072577650716874407202723,750,000$
15Bowen ByramX100.007738807476897873307667635862648940690211894,167$
16Oliver KylingtonX100.0057349576718882703076696657656665406802522,500,000$
17Travis DermottX100.0063388771768488673066576350676973406702511,500,000$
18Ian MitchellX100.006335926869818966306762645263657140660231925,000$
Scratches
Farm Team
1Connor McMichaelX100.005934916772757969766568617262648143650212863,333$
2Matias MaccelliX100.006436866968848968746761637063647140650211853,333$
3Emil BemstromX100.006437927073787967716268596763645940640232900,000$
4Tyler MaddenX100.006336936469817563716259586463656640620221925,000$
5Luke EvangelistaX100.005736895566606555615950535759597640550203797,500$
6Josh MahuraX100.007034887069857669307063595463656243650241750,000$
TEAM AVERAGE100.00653887707684847057706767666667734068
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 Average
1Sergei Bobrovsky100.0094969077939294939294938688514088034410,000,000$
2Craig Anderson100.008270727781808281808281939544407904111,500,000$
Scratches
Farm Team
TEAM AVERAGE100.0088838177878688878688879092484084
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Tippett81858982918455CAN611100,000$


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
1Patrik LaineSaint-Louis BluesLW13681474030175283411.54%228221.761126250000411121.763370000.9902000220
2Conor GarlandSaint-Louis BluesRW137512640141549183114.29%323718.30022925000002018.301230001.0101000101
3Kyle ConnorSaint-Louis BluesLW138311-74017394273419.05%333225.571123260001402025.579641010.6602000101
4Martin NecasSaint-Louis BluesC132911-5001636296136.90%126920.761234260000180020.7634010000.8202000001
5Isac LundestromSaint-Louis BluesC13010107201428316190.00%823418.05022225000000018.0527601000.8500000000
6Josh BaileySaint-Louis BluesRW13178-5401514306143.33%326820.670223260000170020.672100000.6002000000
7Oliver KylingtonSaint-Louis BluesD134486001121381130.77%2326720.56202624000029100.00%000000.6000000011
8Charlie McAvoySaint-Louis BluesD13156-91201127212134.76%2633625.88011927000029010.00%000000.3600000010
9Bowen ByramSaint-Louis BluesD132355204511113518.18%1827120.85112624000031000.00%000000.3700000002
10Oskar LindblomSaint-Louis BluesLW133252202110237813.04%219314.8900000000020014.89900000.5200000010
11J.J. PeterkaSaint-Louis BluesRW1323531001211236148.70%118814.4800000000000014.48900000.5300000000
12Filip ChytilSaint-Louis BluesC13224340823287217.14%319815.29000000000100015.2923511000.4011000001
13Ian MitchellSaint-Louis BluesD1304468014103300.00%1419014.6200000000013000.00%000000.4200000010
14Nikita ZadorovSaint-Louis BluesD13112-9160381672214.29%2233225.58101326000027000.00%000000.1200000000
15Travis DermottSaint-Louis BluesD130226201766130.00%1017813.710000000000000.00%001000.2200000000
16Brett HowdenSaint-Louis BluesC13000-200434020.00%1453.470000000002003.475500000.00%00000000
17Eetu LuostarinenSaint-Louis BluesC13000000001010.00%050.450000000000000.00%100000.00%00000000
18Jan JenikSaint-Louis BluesRW13000-200833310.00%1423.300000000000003.30401000.00%11000000
Team Total or Average2343968107127402852813769322610.37%141387616.57712195126000012646247.11%1091165010.55211000467
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
1Sergei BobrovskySaint-Louis Blues137420.9182.58769203340116010.81811130201
2Craig AndersonSaint-Louis Blues10000.7784.802500290000.00%0013000
Team Total or Average147420.9152.6579420354101601111313201


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 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
Bowen ByramSaint-Louis BluesD212001-06-13No190 Lbs6 ft1NoNoNo1Pro & Farm894,167$894,167$894,167$NoLink
Brett HowdenSaint-Louis BluesC241998-03-29No197 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Charlie McAvoySaint-Louis BluesD241997-12-21No211 Lbs6 ft1NoNoNo8Pro & Farm9,500,000$9,500,000$9,500,000$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$Link
Conor GarlandSaint-Louis BluesRW261996-03-11No165 Lbs5 ft10NoNoNo4Pro & Farm4,950,000$4,950,000$4,950,000$No4,950,000$4,950,000$4,950,000$Link
Craig AndersonSaint-Louis BluesG411981-05-21No185 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Eetu LuostarinenSaint-Louis BluesC241998-09-02No190 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$No1,500,000$Link
Filip ChytilSaint-Louis BluesC231999-09-05No210 Lbs6 ft3NoNoNo1Pro & Farm2,300,000$2,300,000$2,300,000$NoLink
Ian MitchellSaint-Louis BluesD231999-01-18No173 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$925,000$NoLink
Isac LundestromSaint-Louis BluesC221999-11-06No193 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$1,800,000$1,800,000$No1,800,000$Link
J.J. PeterkaSaint-Louis BluesRW202002-01-14No192 Lbs5 ft11NoNoNo3Pro & Farm855,833$855,833$855,833$No855,833$855,833$Link
Jan JenikSaint-Louis BluesRW222000-09-15No185 Lbs6 ft1NoNoNo1Pro & Farm795,000$795,000$795,000$NoLink
Josh BaileySaint-Louis BluesRW321989-10-02No200 Lbs6 ft1NoNoNo2Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$Link
Kyle ConnorSaint-Louis BluesLW251996-12-09No182 Lbs6 ft1NoNoNo4Pro & Farm7,142,857$7,142,857$7,142,857$No7,142,857$7,142,857$7,142,857$Link
Martin NecasSaint-Louis BluesC231999-01-15No189 Lbs6 ft2NoNoNo2Pro & Farm3,000,000$3,000,000$3,000,000$No3,000,000$Link
Nikita ZadorovSaint-Louis BluesD271995-04-16No235 Lbs6 ft6NoNoNo2Pro & Farm3,750,000$3,750,000$3,750,000$No3,750,000$Link
Oliver KylingtonSaint-Louis BluesD251997-05-19No183 Lbs6 ft0NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$Link
Oskar LindblomSaint-Louis BluesLW261996-08-15No191 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$Link
Patrik LaineSaint-Louis BluesLW241998-04-19No216 Lbs6 ft5NoNoNo4Pro & Farm8,700,000$8,700,000$8,700,000$No8,700,000$8,700,000$8,700,000$Link
Sergei BobrovskySaint-Louis BluesG341988-09-20No182 Lbs6 ft2NoNoNo4Pro & Farm10,000,000$10,000,000$10,000,000$No10,000,000$10,000,000$10,000,000$Link
Travis DermottSaint-Louis BluesD251996-12-22No202 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2025.55194 Lbs6 ft12.403,530,643$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
70,612,857$61,198,690$41,148,690$40,292,857$9,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorMartin NecasJosh Bailey40122
2Patrik LaineIsac LundestromConor Garland30122
3Oskar LindblomFilip ChytilJ.J. Peterka20122
4Kyle ConnorBrett HowdenJan Jenik10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Charlie McAvoyNikita Zadorov40122
2Bowen ByramOliver Kylington30122
3Travis DermottIan Mitchell20122
4Charlie McAvoyNikita Zadorov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kyle ConnorMartin NecasJosh Bailey60122
2Patrik LaineIsac LundestromConor Garland40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Charlie McAvoyNikita Zadorov60122
2Bowen ByramOliver Kylington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle ConnorPatrik Laine60122
2Martin NecasJosh Bailey40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Charlie McAvoyNikita Zadorov60122
2Bowen ByramOliver Kylington40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kyle Connor60122Charlie McAvoyNikita Zadorov60122
2Patrik Laine40122Bowen ByramOliver Kylington40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kyle ConnorPatrik Laine60122
2Martin NecasJosh Bailey40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Charlie McAvoyNikita Zadorov60122
2Bowen ByramOliver Kylington40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kyle ConnorMartin NecasJosh BaileyCharlie McAvoyNikita Zadorov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kyle ConnorMartin NecasJosh BaileyCharlie McAvoyNikita Zadorov
Extra Forwards
Normal PowerPlayPenalty Kill
Eetu Luostarinen, Oskar Lindblom, Filip ChytilEetu Luostarinen, Oskar LindblomFilip Chytil
Extra Defensemen
Normal PowerPlayPenalty Kill
Travis Dermott, Ian Mitchell, Bowen ByramTravis DermottIan Mitchell, Bowen Byram
Penalty Shots
Kyle Connor, Patrik Laine, Martin Necas, Josh Bailey, Conor Garland
Goalie
#1 : Sergei Bobrovsky, #2 : Craig Anderson
Custom OT Lines Forwards
Kyle Connor, Patrik Laine, Martin Necas, Josh Bailey, Conor Garland, Oskar Lindblom, Oskar Lindblom, Isac Lundestrom, Filip Chytil, Brett Howden, Eetu Luostarinen
Custom OT Lines Defensemen
Charlie McAvoy, Nikita Zadorov, Bowen Byram, Oliver Kylington, Travis Dermott


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
1Arizona Coyotes22000000835110000003211100000051441.00081220003320471614170792326473266.67%13192.31%020241049.27%21746147.07%9520745.89%422851142511
2Chicago Blackhawks211000006421010000013-21100000051420.5006101600303055161722052296356116.67%3166.67%020241049.27%21746147.07%9520745.89%493546132412
3Colorado Avalanche2010010058-31000010023-11010000035-210.250591400023049816250452210446116.67%5180.00%020241049.27%21746147.07%9520745.89%483349142613
4Dallas Stars210000101064100000103211100000074330.7501016260042328433262397523666200.00%3166.67%020241049.27%21746147.07%9520745.89%473248142814
5Minnesota Wild20200000410-61010000016-51010000034-100.000481210013054201717055144394125.00%20100.00%020241049.27%21746147.07%9520745.89%453148152612
6Nashville Predators11000000321110000003210000000000021.0003580000303410101402524186116.67%2150.00%020241049.27%21746147.07%9520745.89%2719207126
7Winnipeg Jets210000014401000000112-11100000032130.7504812001120532318106802820364125.00%9188.89%020241049.27%21746147.07%9520745.89%453255142411
Total13640011140373722001111420-66420000026179150.577406810810119192376126118128154111417628531722.58%37683.78%020241049.27%21746147.07%9520745.89%3062113199416783
_Since Last GM Reset13640011140373722001111420-66420000026179150.577406810810119192376126118128154111417628531722.58%37683.78%020241049.27%21746147.07%9520745.89%3062113199416783
_Vs Conference13640011140373722001111420-66420000026179150.577406810810119192376126118128154111417628531722.58%37683.78%020241049.27%21746147.07%9520745.89%3062113199416783
_Vs Division13640011140373722001111420-66420000026179150.577406810810119192376126118128154111417628531722.58%37683.78%020241049.27%21746147.07%9520745.89%3062113199416783

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1315W140681083764111417628510
All Games
GPWLOTWOTL SOWSOLGFGA
136401114037
Home Games
GPWLOTWOTL SOWSOLGFGA
72201111420
Visitor Games
GPWLOTWOTL SOWSOLGFGA
64200002617
Last 10 Games
WLOTWOTL SOWSOL
430111
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
31722.58%37683.78%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
12611812815119192
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20241049.27%21746147.07%9520745.89%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3062113199416783


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
1 - 2022-09-1412Saint-Louis Blues7Dallas Stars4AWBoxScore
2 - 2022-09-1518Minnesota Wild6Saint-Louis Blues1BLBoxScore
3 - 2022-09-1644Nashville Predators2Saint-Louis Blues3BWBoxScore
4 - 2022-09-1764Saint-Louis Blues3Minnesota Wild4ALBoxScore
5 - 2022-09-1867Saint-Louis Blues5Chicago Blackhawks1AWBoxScore
7 - 2022-09-2082Saint-Louis Blues3Winnipeg Jets2AWBoxScore
8 - 2022-09-2196Arizona Coyotes2Saint-Louis Blues3BWBoxScore
10 - 2022-09-23121Dallas Stars2Saint-Louis Blues3BWXXBoxScore
11 - 2022-09-24140Colorado Avalanche3Saint-Louis Blues2BLXBoxScore
13 - 2022-09-26161Chicago Blackhawks3Saint-Louis Blues1BLBoxScore
14 - 2022-09-27173Saint-Louis Blues3Colorado Avalanche5ALBoxScore
18 - 2022-10-01198Winnipeg Jets2Saint-Louis Blues1BLXXBoxScore
19 - 2022-10-02213Saint-Louis Blues5Arizona Coyotes1AWBoxScore
20 - 2022-10-03224Saint-Louis Blues-Nashville Predators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 70,612,857$ 70,612,857$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 2 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 12,000,000$ 12,000,000$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 82,500,000$ 82,500,000$ 0$



Depth Chart

Left WingCenterRight Wing
Kyle ConnorAGE:25PO:78OV:76
Patrik LaineAGE:24PO:88OV:73
Oskar LindblomAGE:26PO:54OV:67
Matias MaccelliAGE:21PO:71OV:65
Martin NecasAGE:23PO:84OV:72
Filip ChytilAGE:23PO:81OV:68
Isac LundestromAGE:22PO:81OV:68
Brett HowdenAGE:24PO:78OV:67
Eetu LuostarinenAGE:24PO:72OV:67
Connor McMichaelAGE:21PO:81OV:65
Emil BemstromAGE:23PO:59OV:64
Tyler MaddenAGE:22PO:66OV:62
Conor GarlandAGE:26PO:56OV:71
Josh BaileyAGE:32PO:54OV:71
J.J. PeterkaAGE:20PO:80OV:66
Jan JenikAGE:22PO:67OV:66
Luke EvangelistaAGE:20PO:76OV:55

Defense #1Defense #2Goalie
Charlie McAvoyAGE:24PO:81OV:76
Nikita ZadorovAGE:27PO:74OV:72
Bowen ByramAGE:21PO:89OV:69
Oliver KylingtonAGE:25PO:65OV:68
Travis DermottAGE:25PO:73OV:67
Ian MitchellAGE:23PO:71OV:66
Josh MahuraAGE:24PO:62OV:65
Sergei BobrovskyAGE:34PO:51OV:88
Craig AndersonAGE:41PO:44OV:79

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
Albert JohanssonSaint-Louis BluesLink
Brandt ClarkeSaint-Louis BluesLink
Brock FaberSaint-Louis Blues
Carter SavoieSaint-Louis BluesLink
Eetu MakiniemiSaint-Louis BluesLink
Frank NazarSaint-Louis BluesLink
Justin SourdifSaint-Louis BluesLink
Kevin KorchinskiSaint-Louis BluesLink
Marek AlscherSaint-Louis BluesLink
Matt CoronatoSaint-Louis BluesLink
Sean BehrensSaint-Louis BluesLink

Draft Picks

Year R1R2R3R4R5
2
3
4
5
6






[2022-09-11 08:42:44] - Team Name Change : Blues changed name to Saint-Louis Blues
[2022-09-10 05:05:14] - Marek Alscher has been added to Blues.
[2022-09-05 10:29:44] - Eetu Makiniemi has been added to Blues.
[2022-09-03 07:30:00] - Thunderbirds hired Dave Lowry for 100 000 $ for 1 year(s).
[2022-09-01 15:01:48] - Blues hired Dave Tippett for 100 000 $ for 1 year(s).
[2022-08-26 18:41:33] - Travis Dermott was picked by Blues as the 1100 overall pick in the fantasy draft.
[2022-08-26 18:41:33] - Travis Dermott was added to Blues.
[2022-08-25 13:14:57] - Justin Sourdif has been added to Blues.
[2022-08-25 13:11:52] - Josh Mahura was picked by Blues as the 1053 overall pick in the fantasy draft.
[2022-08-25 13:11:52] - Josh Mahura was added to Blues.
[2022-08-23 17:44:17] - Emil Bemstrom was picked by Blues as the 996 overall pick in the fantasy draft.
[2022-08-23 17:44:17] - Emil Bemstrom was added to Blues.
[2022-08-23 17:23:43] - Sean Behrens has been added to Blues.
[2022-08-23 17:23:25] - Blues skipped the 989 overall pick in the fantasy draft.
[2022-08-21 18:44:29] - Albert Johansson has been added to Blues.
[2022-08-21 18:44:17] - Blues skipped the 932 overall pick in the fantasy draft.
[2022-08-21 18:09:23] - Tyler Madden was picked by Blues as the 923 overall pick in the fantasy draft.
[2022-08-21 18:09:23] - Tyler Madden was added to Blues.
[2022-08-20 17:30:39] - Craig Anderson was picked by Blues as the 869 overall pick in the fantasy draft.
[2022-08-20 17:30:39] - Craig Anderson was added to Blues.
[2022-08-20 17:04:36] - Ian Mitchell was picked by Blues as the 863 overall pick in the fantasy draft.
[2022-08-20 17:04:36] - Ian Mitchell was added to Blues.



[2022-10-02 18:46:19] Saint-Louis Blues lines for next game are empty. Current rosters/lines are not erased.
[2022-10-02 08:21:17] Saint-Louis Blues lines for next game are empty. Current rosters/lines are not erased.
[2022-09-27 19:05:40] Saint-Louis Blues lines for next game are empty. Current rosters/lines are not erased.
[2022-09-26 20:25:29] Saint-Louis Blues lines for next game are empty. Current rosters/lines are not erased.
[2022-09-20 19:45:43] Last 7 Days Pro Star : 1 - Patrik Laine of Saint-Louis Blues (6-6-12) / 2 - Connor McDavid of Philadelphia Flyers (8-5-13) / 3 - Sidney Crosby of Pittsburgh Penguins (5-7-12)
[2022-09-17 19:00:19] Josh Mahura of Saint-Louis Blues was sent to farm.
[2022-09-17 19:00:19] Connor McMichael of Saint-Louis Blues was sent to farm.
[2022-09-17 18:57:48] Auto Roster Function has been run for Saint-Louis Blues.
[2022-09-17 18:57:48] Connor McMichael of Saint-Louis Blues was sent to pro.
[2022-09-17 18:57:48] Josh Mahura of Saint-Louis Blues was sent to pro.
[2022-09-17 18:57:38] Auto Lines Farm Function has been run for Thunderbirds .
[2022-09-17 18:57:38] Auto Lines Function has been run for Saint-Louis Blues.



No Injury or Suspension.


Saint-Louis 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

Saint-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

Saint-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

Saint-Louis 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

Saint-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