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Game Center
Blues
0-1-0, 0pts
1
FINAL
3 BlueJacket
1-0-0, 2pts
Team Stats
L1StreakW1
0-0-0Home Record1-0-0
0-1-0Away Record0-0-0
0-1-0Last 10 Games1-0-0
1.00Goals Per Game3.00
3.00Goals Against Per Game1.00
0.00%Power Play Percentage20.00%
80.00%Penalty Kill Percentage100.00%
Blues
0-1-0, 0pts
Day 5
Islanders
0-0-0, 0pts
Team Stats
L1StreakN/A
0-0-0Home Record0-0-0
0-1-0Away Record0-0-0
0-1-0Last 10 Games0-0-0
1.00Goals Per Game0
3.00Goals Against Per Game0
0.00%Power Play Percentage0%
80.00%Penalty Kill Percentage0%
Capitals
1-0-0, 2pts
Day 7
Blues
0-1-0, 0pts
Team Stats
W1StreakL1
0-0-0Home Record0-0-0
1-0-0Away Record0-1-0
1-0-0Last 10 Games0-1-0
4.00Goals Per Game1.00
2.00Goals Against Per Game3.00
0.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage80.00%
Blues
0-1-0, 0pts
Day 8
Bruins
0-1-0, 0pts
Team Stats
L1StreakL1
0-0-0Home Record0-0-0
0-1-0Away Record0-1-0
0-1-0Last 10 Games0-1-0
1.00Goals Per Game2.00
3.00Goals Against Per Game4.00
0.00%Power Play Percentage0.00%
80.00%Penalty Kill Percentage100.00%
Team Leaders
Brad MarchandGoals
Brad Marchand
1
Christopher TanevAssists
Christopher Tanev
1
Christopher TanevPoints
Christopher Tanev
1
Morgan RiellyPlus/Minus
Morgan Rielly
1
Connor HellebuyckWins
Connor Hellebuyck
0
Connor HellebuyckSave Percentage
Connor Hellebuyck
0.917

Team Stats
Goals For
1
1.00 GFG
Shots For
24
24.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
40.7%
Goals Against
3
3.00 GAA
Shots Against
36
36.00 Avg
Penalty Kill Percentage
80.0%
1 GA
Defensive Zone Start
41.9%
Injury / Suspension
No Injury or Suspension.
Team Info
General ManagerMaxime Barabe
CoachTodd McLellan
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2Morgan Rielly
Uniforms
Arena Info
NameAnheuser-Busch Center
Capacity25,000
Attendance
Season Tickets10,000
Roster Info
Pro Team20
Farm Team22
Contract Limit42 / 70
Prospects4
Salary Cap
Estimated Season Salary Cap0$
Available Salary Cap85,000,000$
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 Account281,712,152$
Projected Bank Account281,712,152$
Team History
This Season0-1-0 (0PTS)
History730-697-139 (0.466%)
Playoff Appearances9
Playoff Record (W-L)51-44
Stanley Cup0


Filter Tips
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10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Sam ReinhartX99.0062518296628999927977999481828645198302947,200,000$
2Zach HymanX100.0065517891668798844064997840888830197703247,000,000$
3Brad MarchandX100.0073447193438799794078797862969210197603638,750,000$
4Claude GirouxX100.0051448491538899779383718069969210197603627,000,000$
5Jonathan Audy-MarchessaultX100.0071428093488499804067926769928820197503426,500,000$
6Nick SchmaltzX100.0045448790528797777680737480808450197402866,375,000$
7Yegor SharangovichX100.0044498887638499757468817799768060197302633,000,000$
8David PerronX100.0074477686598195704072686775968910197103625,250,000$
9Curtis LazarX100.0099557880637592598461588140827945196802911,250,000$
10Jordan MartinookX100.0057478181597999618658647890888430196803212,000,000$
11Keegan KolesarX100.0099677875737397544050586940787655226502711,000,000$
12Michael EyssimontX100.0079646480627498584054617140807750196502831,250,000$
13Christian DvorakX100.0052478779598164579351647283808150196402823,000,000$
14Kristopher LetangX100.007949758762919973408165887398955197903717,000,000$
15Morgan Rielly (A)X100.0072598388768992804098627440848740197703016,000,000$
16Radko GudasX100.0099625179658288584055618840928720197503411,750,000$
17Christopher TanevX100.0054498478628294564059539440948815197303514,500,000$
18Jeff PetryX100.008856797771819359406455764098905197303724,000,000$
Scratches
Farm Team
1Lane PedersonX100.0099617880567565577057577040787755206402711,050,000$
2Ty DellandreaX100.0075537977607672547754546940727470206202411,925,000$
3Drake CaggiulaX100.006240768251605060406655594084724021600302900,000$
4Matthew NietoX100.0055448678537458524051547540888130206003212,000,000$
5Liam FoudyX100.0054498777627152544059506140727270205802411,017,500$
6Brett MurrayX100.006171777589635349404356564076706020570261851,000$
7Samuel LabergeX100.0072705975686858384038386140787355205402711,500,000$
8Will BittenX100.004742817551776745403951506976776020540261860,000$
9Carsen TwarynskiX100.009950757564605037403242614078695520530271860,000$
10Calvin deHaanX100.007847837759778353405056774090842521680332975,000$
11Nikita OkhotyukX100.0099487276617679524053527040727470206702411,018,000$
12Alexander EdlerX100.00795579757455505340525462639977018630381975,000$
13Patrik NemethX100.007660827584555048404550654088723018620324975,000$
14Radim SimekX100.008754787561555041404240644088723019600321725,000$
15Jack RathboneX100.005541837550736843403946704074746520600251825,000$
16Markus NiemelainenX100.009952807575555031402934624076666020590261930,000$
17Noel HoefenmayerX100.007153637565555044403948664074656520590251930,000$
18Dmitry SemykinX100.006454907573555025402030514072647020530241825,000$
19Tyler AngleX100.005360797545605041703646504072667020510241770,000$
20Jack BadiniX100.007361817562605031702934504076686020490261930,000$
21Grant MismashX100.005045837555605034402939504074676520480251825,000$
TEAM AVERAGE99.97715278806273755651545869518378422065
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
1Connor Hellebuyck100.009299999591929089889086868935208903148,000,000$
2Landon Bow100.00755060965050505050508382664520590292600,000$
Scratches
Farm Team
1Beck Warm100.00775060805050505050504074626522560252600,000$
TEAM AVERAGE100.0081667390646463636363708172482168
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
1Christopher TanevBluesD1011000000000.00%21515.430000000003000.00%000001.3000000000
2Brad MarchandBluesLW11010002032133.33%02020.720001500002000.00%100000.9700000000
3Morgan RiellyBluesD1011100210000.00%22525.330000400004000.00%000000.7900000000
4Christian DvorakBluesC1000000000000.00%022.780000000000000.00%000000.0000000000
5Jeff PetryBluesD1000-100120000.00%22323.920000400004000.00%000000.0000000000
6Kristopher LetangBluesD1000-140401110.00%02828.380001400002000.00%000000.0000000000
7Nick SchmaltzBluesC1000000103100.00%01818.1000015000000044.44%1800000.0000000000
8Keegan KolesarBluesRW1000-140001000.00%11313.580000000000000.00%100000.0000000000
9Curtis LazarBluesC1000000010000.00%033.4700000000000050.00%400000.0000000000
10Zach HymanBluesLW1000000202000.00%02222.2000013000050050.00%200000.0000000000
11Jordan MartinookBluesLW1000000010000.00%033.800000000000000.00%000000.0000000000
12Claude GirouxBluesRW1000000041000.00%01818.5200013000020050.00%800000.0000000000
13David PerronBluesLW1000-100000000.00%01313.280000000000000.00%000000.0000000000
14Sam ReinhartBluesC1000000154020.00%02525.0200013000050061.11%3600000.0000000000
15Michael EyssimontBluesC1000000000000.00%000.650000000000000.00%100000.0000000000
16Yegor SharangovichBluesC1000-100025030.00%01313.6200000000000061.54%1300000.0000000000
17Jonathan Audy-MarchessaultBluesRW1000000004230.00%01818.1000015000000050.00%200000.0000000000
18Radko GudasBluesD1000-120510120.00%22323.770000400002000.00%000000.0000000000
Team Total or Average18123-51001817247124.17%929016.150007440000340053.49%8600000.2100000000
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
1Connor HellebuyckBlues10100.9173.0060003360000.000010000
Team Total or Average10100.9173.0060003360000.000010000


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$8,750,000$No8,750,000$8,750,000$
UFA
Link / NHL Link
Christian DvorakBluesC281996-02-02No192 Lbs6 ft1NoNoYes2Pro & Farm3,000,000$3,000,000$3,000,000$No3,000,000$
UFA
Link / NHL Link
Christopher TanevBluesD351989-12-20No193 Lbs6 ft2NoNoYes1Pro & Farm4,500,000$4,500,000$4,500,000$No
UFA
Link / NHL Link
Claude GirouxBluesRW361988-01-12No188 Lbs5 ft11NoNoYes2Pro Only7,000,000$7,000,000$7,000,000$No7,000,000$
UFA
Link / NHL Link
Connor HellebuyckBluesG311993-05-19No207 Lbs6 ft4NoNoYes4Pro Only8,000,000$8,000,000$8,000,000$No8,000,000$8,000,000$8,000,000$
UFA
Link / NHL Link
Curtis LazarBluesC291995-02-02No203 Lbs6 ft0NoNoNo1Pro & Farm1,250,000$1,250,000$1,250,000$No
UFA
Link / NHL Link
David PerronBluesLW361988-05-28No195 Lbs6 ft0NoNoYes2Pro Only5,250,000$5,250,000$5,250,000$No5,250,000$
UFA
Link / NHL Link
Jeff PetryBluesD371987-12-09No208 Lbs6 ft3NoNoYes2Pro & Farm4,000,000$4,000,000$4,000,000$No4,000,000$
UFA
Link / NHL Link
Jonathan Audy-MarchessaultBluesRW341990-12-27No185 Lbs5 ft9NoNoYes2Pro Only6,500,000$6,500,000$6,500,000$No6,500,000$
UFA
Link / NHL Link
Jordan MartinookBluesLW321992-07-25No196 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$2,000,000$2,000,000$No
UFA
Link / NHL Link
Keegan KolesarBluesRW271997-04-08No216 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$No
UFA
Link / NHL Link
Kristopher LetangBluesD371987-04-24No201 Lbs6 ft0NoNoYes1Pro Only7,000,000$7,000,000$7,000,000$No
UFA
Link / NHL Link
Landon BowBluesG291995-08-24No208 Lbs6 ft5NoNoNo2Pro & Farm600,000$600,000$600,000$No600,000$
UFA
Link / NHL Link
Michael EyssimontBluesC281996-09-09No201 Lbs6 ft0NoNoNo3Pro & Farm1,250,000$1,250,000$1,250,000$No1,250,000$1,250,000$
UFA
Link / NHL Link
Morgan RiellyBluesD301994-03-09No225 Lbs6 ft1NoNoYes1Pro Only6,000,000$6,000,000$6,000,000$No
UFA
Link / NHL Link
Nick SchmaltzBluesC281996-02-23No181 Lbs6 ft0NoNoYes6Pro Only6,375,000$6,375,000$6,375,000$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$1,750,000$No
UFA
Link / NHL Link
Sam ReinhartBluesC291995-11-06No193 Lbs6 ft2NoNoYes4Pro Only7,200,000$7,200,000$7,200,000$No7,200,000$7,200,000$7,200,000$
UFA
Link / NHL Link
Yegor SharangovichBluesC261998-06-06No196 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$3,000,000$No3,000,000$3,000,000$
UFA
Link / NHL Link
Zach HymanBluesLW321992-06-09No206 Lbs6 ft1NoNoYes4Pro Only7,000,000$7,000,000$7,000,000$No7,000,000$7,000,000$7,000,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2031.70199 Lbs6 ft12.304,571,250$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
91,425,000$67,925,000$41,575,000$28,575,000$6,375,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach HymanSam ReinhartClaude Giroux40122
2Brad MarchandNick SchmaltzJonathan Audy-Marchessault30122
3David PerronYegor SharangovichKeegan Kolesar20122
4Jordan MartinookCurtis LazarSam Reinhart10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangMorgan Rielly40122
2Radko GudasJeff Petry30122
3Christopher TanevKristopher Letang20122
4Morgan RiellyRadko Gudas10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach HymanSam ReinhartClaude Giroux60122
2Brad MarchandNick SchmaltzJonathan Audy-Marchessault40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangMorgan Rielly60122
2Radko GudasJeff Petry40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam ReinhartZach Hyman60122
2Claude GirouxBrad Marchand40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangMorgan Rielly60122
2Radko GudasJeff Petry40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Reinhart60122Kristopher LetangMorgan Rielly60122
2Zach Hyman40122Radko GudasJeff Petry40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam ReinhartZach Hyman60122
2Claude GirouxBrad Marchand40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kristopher LetangMorgan Rielly60122
2Radko GudasJeff Petry40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach HymanSam ReinhartClaude GirouxKristopher LetangMorgan Rielly
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach HymanSam ReinhartClaude GirouxKristopher LetangMorgan Rielly
Extra Forwards
Normal PowerPlayPenalty Kill
Michael Eyssimont, Christian Dvorak, Yegor SharangovichMichael Eyssimont, Christian DvorakYegor Sharangovich
Extra Defensemen
Normal PowerPlayPenalty Kill
Christopher Tanev, Jeff Petry, Kristopher LetangChristopher TanevJeff Petry, Kristopher Letang
Penalty Shots
Sam Reinhart, Zach Hyman, Claude Giroux, Brad Marchand, Jonathan Audy-Marchessault
Goalie
#1 : Connor Hellebuyck, #2 : Landon Bow


Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1BlueJacket1010000013-2000000000001010000013-200.0001230001002496903691018500.00%5180.00%0153542.86%193652.78%121580.00%2114267126
Total1010000013-2000000000001010000013-200.0001230001002496903691018500.00%5180.00%0153542.86%193652.78%121580.00%2114267126
_Since Last GM Reset1010000013-2000000000001010000013-200.0001230001002496903691018500.00%5180.00%0153542.86%193652.78%121580.00%2114267126

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
10L112324369101800
All Games
GPWLOTWOTL SOWSOLGFGA
101000013
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000013
Last 10 Games
WLOTWOTL SOWSOL
010000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
500.00%5180.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
96900100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
153542.86%193652.78%121580.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2114267126


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
16Blues1BlueJacket3ALBoxScore
528Blues-Islanders-
743Capitals-Blues-
850Blues-Bruins-
961Blackhawks-Blues-
1064Blues-Predators-


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
David Perron
David Perron
AGE:36
SK:86
EN:81
DU:95
PH:70
PA:72
SC:68
DF:67
Jordan Martinook
Jordan Martinook
AGE:32
SK:81
EN:79
DU:99
PH:61
PA:58
SC:64
DF:78
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
Sam Reinhart
Sam Reinhart
AGE:29
SK:96
EN:89
DU:99
PH:92
PA:77
SC:99
DF:94
Nick Schmaltz
Nick Schmaltz
AGE:28
SK:90
EN:87
DU:97
PH:77
PA:80
SC:73
DF:74
Yegor Sharangovich
Yegor Sharangovich
AGE:26
SK:87
EN:84
DU:99
PH:75
PA:68
SC:81
DF:77
Curtis Lazar
Curtis Lazar
AGE:29
SK:80
EN:75
DU:92
PH:59
PA:61
SC:58
DF:81
Michael Eyssimont
Michael Eyssimont
AGE:28
SK:80
EN:74
DU:98
PH:58
PA:54
SC:61
DF:71
Lane Pederson
Lane Pederson
AGE:27
SK:80
EN:75
DU:65
PH:57
PA:57
SC:57
DF:70
Christian Dvorak
Christian Dvorak
AGE:28
SK:79
EN:81
DU:64
PH:57
PA:51
SC:64
DF:72
Ty Dellandrea
Ty Dellandrea
AGE:24
SK:77
EN:76
DU:72
PH:54
PA:54
SC:54
DF:69
Liam Foudy
Liam Foudy
AGE:24
SK:77
EN:71
DU:52
PH:54
PA:59
SC:50
DF:61
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
Claude Giroux
Claude Giroux
AGE:36
SK:91
EN:88
DU:99
PH:77
PA:83
SC:71
DF:80
Jonathan Audy-Marchessault
Jonathan Audy-Marchessault
AGE:34
SK:93
EN:84
DU:99
PH:80
PA:67
SC:92
DF:67
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

Defense #1Defense #2Goalie
Kristopher Letang
Kristopher Letang
AGE:37
SK:87
EN:91
DU:99
PH:73
PA:81
SC:65
DF:88
Morgan Rielly
Morgan Rielly
AGE:30
SK:88
EN:89
DU:92
PH:80
PA:98
SC:62
DF:74
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
Jeff Petry
Jeff Petry
AGE:37
SK:77
EN:81
DU:93
PH:59
PA:64
SC:55
DF:76
Calvin deHaan
Calvin deHaan
AGE:33
SK:77
EN:77
DU:83
PH:53
PA:50
SC:56
DF:77
Nikita Okhotyuk
Nikita Okhotyuk
AGE:24
SK:76
EN:76
DU:79
PH:52
PA:53
SC:52
DF:70
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
Radim Simek
Radim Simek
AGE:32
SK:75
EN:55
DU:50
PH:41
PA:42
SC:40
DF:64
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
Connor Hellebuyck
Connor Hellebuyck
AGE:31
SK:92
AG:91
RB:92
SC:90
HS:89
RT:88
DF:90
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
Jacob LeguerrierBlues2033161
Leon MuggliBlues203878
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
5Morgan Rielly392612783397240263847856110.87%441886022.60498813739008821310.00%10.7700

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
5Jaroslav Halak93522730.9013.00505816525325480510.91323

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
Total Regular Season155858869706355797648715263-39277931333502630403524932563-7077927536203725394123782700-32214934871844713318244413316061596140248036898153531620415112504951496920865357697200142519.79%7821162279.26%86262715258949.96%258695497047.06%121452505648.47%355672324437425124922168010723
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
Total Playoff955144000003292963347232400000169163648282000000160133271023295869151119108120783094187971101183430709291057213449210120.53%4397682.69%51719356348.25%1705351348.53%785160448.94%2333157622997401279647

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
1Drew Doughty4694049-471151801217.44%68118125.6851823860112100.00%00.8300
2Jared Spurgeon469394871234881137.96%70106923.2671118730003200.00%00.9000
3Morgan Rielly396323811303945738.22%5588622.7201111481011000.00%00.8600
4Mika Zibanejad37132134431388710612.26%572719.6639122210122051.26%00.9300
5Sam Reinhart46181634-72286811815.25%886218.7467132500005150.59%00.7900

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
3Devan Dubnyk73220.9152.794510021248108100.0000
4Juuse Saros113530.9063.0467200343620010.0000
5Mike Condon42000.9221.83164005640100.0000