Blues

GP: 16 | W: 9 | L: 6 | OTL: 1 | P: 19
GF: 30 | GA: 32 | PP%: 15.91% | PK%: 77.78%
GM : Todd James | Morale : 50 | Team Overall : 71
Next Games vs Jets
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Nikita KucherovXX100.006341849166839488559892525968718450760
2Filip ForsbergXX100.007844838669769284388887665367688350740
3Joe ThorntonX100.006974777284798092858479576399997650740
4Ryan JohansenX100.007677738183799886978471706172737750740
5Evgeni DadonovXX100.006341968666797492258587622561618150720
6Teuvo TeravainenXX100.006141948564749981358579524565677650700
7Colton SissonsXX100.008244847969738776936760892562637150690
8Darren HelmXXX100.008255848872708060436970836373787450690
9Nick BoninoXX100.006141907972729363956470886871747350690
10Vladimir SobotkaX100.008144828269768471717066742570737250680
11Mark LetestuX100.007143957069649674906460847073746950680
12Tom PyattXXX100.006942956567679955366559885369716850650
13Shea WeberX100.009047848286936991256963892582857650780
14Josh MansonX100.008878788282819863256950882565666950740
15Nick LeddyX100.007744919070869887257054736374787150740
16Brent SeabrookX100.007544867982809774255850807586926650730
17Mark PysykX100.007744918071779961255348882565656550700
18Niklas KronwallX100.007543867770768577256448635382886450680
Scratches
1Barclay GoodrowXX100.007975827081587261796268712558586850630
2Jan RuttaX100.006342877774787960256051792550506450650
TEAM AVERAGE100.00745086807376897551716675467173725071
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 SP
1Pekka Rinne99.00949087869990769192946773769050850
2Philipp Grubauer100.00855959709377758389857356578050740
Scratches
TEAM AVERAGE99.5090757378968476879190706567855080
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dan Bylsma30303030303030USA4731,700,000$


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 NamePOS GP 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
1Ryan JohansenBlues C1641216123520334515348.89%533621.040446390001161058.72%45367000.9512010111
2Evgeni DadonovBlues LW/RW166713500101754193211.11%627717.320223320110150030.00%10124000.9402000110
3Filip ForsbergBlues LW/RW1667133120131059213110.17%636923.111128400001431129.17%241910000.7024000101
4Nikita KucherovBlues LW/RW16571228012109228585.43%937423.392029400001490231.36%118236000.6414000110
5Joe ThorntonBlues C164610221520243982310.26%627417.151122320001180055.30%21743000.7323001001
6Teuvo TeravainenBlues C/RW163583201411357258.57%425115.71112532000000140.00%15102000.6400000010
7Darren HelmBlues C/LW/RW16516-11001862991417.24%320312.74000001011213040.00%20142000.5900000011
8Shea WeberBlues D1624618024253419155.88%2544327.73101444000048100.00%0518000.2700000002
9Mark PysykBlues D1614526071613477.69%1119512.230000001101000.00%015000.5100000001
10Nick BoninoBlues C/LW16224-2008155101240.00%418111.3600001000000052.94%11973000.4400000000
11Nick LeddyBlues D1604406024282612130.00%2044427.79011244000250000.00%0717000.1800000010
12Brent SeabrookBlues D16112-3401117123118.33%1832820.52101329000034010.00%0310000.1211000000
13Colton SissonsBlues C/RW16011-460204295280.00%517310.8500001000000066.67%374000.1200000000
14Josh MansonBlues D16011-260201522570.00%1933220.79011329000033000.00%0011000.0600000000
15Mark LetestuBlues C16011-30068175130.00%71328.2600002000000044.44%932000.1500000000
16Niklas KronwallBlues D16011240897200.00%820112.610000000009000.00%004000.1000000000
17Vladimir SobotkaBlues C16000-32010103411210.00%21328.2800000000080044.44%5451000.0000000000
18Tom PyattBlues C/LW/RW16000-300477340.00%31227.6400000000020050.00%216000.0000000000
Team Total or Average28839641030118102492655591863486.98%161477616.59711184537112373556551.82%1044127115000.43716011467
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
1Pekka RinneBlues 169610.9222.639580142541240200.75016160321
2Philipp GrubauerBlues 10000.9092.7322001116000.0000016000
Team Total or Average179610.9222.639800143552246200.750161616321


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 CONT StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Barclay GoodrowBlues LW/RW251993-02-25No215 Lbs6 ft2NoNoNo4ELCPro & Farm750,000$750,000$750,000$750,000$Link
Brent SeabrookBlues D331985-04-19No220 Lbs6 ft3NoNoNo2UFAPro & Farm6,800,000$6,800,000$Link
Colton SissonsBlues C/RW251993-11-05No200 Lbs6 ft1NoNoNo1ELCPro & Farm650,000$Link
Darren HelmBlues C/LW/RW311987-01-21No196 Lbs6 ft0NoNoNo2UFAPro & Farm2,750,000$2,750,000$Link
Evgeni DadonovBlues LW/RW291989-03-12No184 Lbs5 ft11NoNoNo3UFAPro & Farm4,000,000$4,000,000$4,000,000$Link
Filip ForsbergBlues LW/RW241994-08-13No205 Lbs6 ft1NoNoNo1ELCPro & Farm2,950,000$Link
Jan RuttaBlues D281990-07-29No200 Lbs6 ft3NoNoNo3UFAPro & Farm2,300,000$2,300,000$2,300,000$Link
Joe ThorntonBlues C391979-07-02No220 Lbs6 ft4NoNoNo1UFAPro & Farm6,000,000$Link
Josh MansonBlues D271991-10-07No215 Lbs6 ft3NoNoNo4RFAPro & Farm4,000,000$4,000,000$4,000,000$4,000,000$Link
Mark LetestuBlues C331985-02-03No197 Lbs5 ft10NoNoNo2UFAPro & Farm1,800,000$1,800,000$Link
Mark PysykBlues D261992-01-10No200 Lbs6 ft1NoNoNo3ELCPro & Farm2,500,000$2,500,000$2,500,000$Link
Nick BoninoBlues C/LW301988-04-19No196 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$500,000$500,000$Link
Nick LeddyBlues D271991-03-19No199 Lbs6 ft0NoNoNo4RFAPro & Farm5,500,000$5,500,000$5,500,000$5,500,000$Link
Nikita KucherovBlues LW/RW251993-06-16No178 Lbs5 ft11NoNoNo2ELCPro & Farm3,450,000$3,450,000$Link
Niklas KronwallBlues D371981-01-11No194 Lbs6 ft0NoNoNo1UFAPro & Farm4,750,000$Link
Pekka RinneBlues C/LW361982-11-02No217 Lbs6 ft5NoNoNo1UFAPro & Farm7,000,000$Link
Philipp GrubauerBlues LW/RW261991-11-24No182 Lbs6 ft1NoNoNo2ELCPro & Farm950,000$950,000$Link
Ryan JohansenBlues C261992-07-30No218 Lbs6 ft3NoNoNo1ELCPro & Farm5,350,000$Link
Shea WeberBlues D331985-08-13No232 Lbs6 ft4NoNoNo6UFAPro & Farm7,857,000$7,857,000$7,857,000$7,857,000$7,857,000$7,857,000$Link
Teuvo TeravainenBlues C/RW241994-09-10No178 Lbs5 ft11NoNoNo2ELCPro & Farm2,000,000$2,000,000$Link
Tom PyattBlues C/LW/RW311987-02-14No185 Lbs5 ft11NoNoNo3UFAPro & Farm1,200,000$1,200,000$1,200,000$Link
Vladimir SobotkaBlues C311987-07-02No197 Lbs5 ft10NoNoNo3UFAPro & Farm3,500,000$3,500,000$3,500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2229.36201 Lbs6 ft12.453,479,864$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
76,557,000$49,857,000$32,107,000$18,107,000$7,857,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergRyan JohansenNikita Kucherov40122
2Evgeni DadonovJoe ThorntonTeuvo Teravainen30122
3Darren HelmNick BoninoColton Sissons20122
4Mark LetestuVladimir SobotkaTom Pyatt10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Shea WeberNick Leddy40122
2Josh MansonBrent Seabrook30122
3Mark PysykNiklas Kronwall20122
4Nick LeddyShea Weber10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita KucherovRyan JohansenFilip Forsberg60122
2Evgeni DadonovJoe ThorntonTeuvo Teravainen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Shea WeberNick Leddy60122
2Josh MansonBrent Seabrook40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nikita KucherovFilip Forsberg60122
2Joe ThorntonRyan Johansen40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Shea WeberNick Leddy60122
2Josh MansonBrent Seabrook40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nikita Kucherov60122Shea WeberNick Leddy60122
2Filip Forsberg40122Josh MansonBrent Seabrook40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nikita KucherovFilip Forsberg60122
2Joe ThorntonRyan Johansen40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Shea WeberNick Leddy60122
2Josh MansonBrent Seabrook40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikita KucherovJoe ThorntonFilip ForsbergShea WeberNick Leddy
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikita KucherovJoe ThorntonFilip ForsbergShea WeberNick Leddy
Extra Forwards
Normal PowerPlayPenalty Kill
Mark Letestu, Nick Bonino, Darren HelmMark Letestu, Nick BoninoDarren Helm
Extra Defensemen
Normal PowerPlayPenalty Kill
Mark Pysyk, Niklas Kronwall, Josh MansonMark PysykNiklas Kronwall, Josh Manson
Penalty Shots
Nikita Kucherov, Filip Forsberg, Joe Thornton, Ryan Johansen, Evgeni Dadonov
Goalie
#1 : Pekka Rinne, #2 : Philipp Grubauer


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
1Blackhawks4120100013121211000008712010100055040.500132134005341143484846114833305416425.00%15473.33%023140856.62%19641147.69%11421752.53%905482336735
2Blue Jackets10001000321100010003210000000000021.00035800011139111610236121219200.00%60100.00%023140856.62%19641147.69%11421752.53%2212209189
3Canadiens10000010321000000000001000001032121.00033600101136121310738201017100.00%5180.00%023140856.62%19641147.69%11421752.53%22112292010
4Ducks1000000123-11000000123-10000000000010.5002460001123412139536131415100.00%20100.00%023140856.62%19641147.69%11421752.53%2212229199
5Flames1010000035-21010000035-20000000000000.000347000120321589030131016000.00%5260.00%023140856.62%19641147.69%11421752.53%2012219177
6Golden Knights10000010321100000103210000000000021.0003470000223416993381612135120.00%6266.67%023140856.62%19641147.69%11421752.53%23132110198
7Hurricanes1010000024-21010000024-20000000000000.00023500011039816150298216100.00%10100.00%023140856.62%19641147.69%11421752.53%2415188178
8Jets22000000413110000002111100000020241.0004610011210712431160631610314250.00%50100.00%023140856.62%19641147.69%11421752.53%472936163516
9Maple Leafs1010000025-3000000000001010000025-300.000246000110347121503610612300.00%3166.67%023140856.62%19641147.69%11421752.53%1910239168
10Sharks11000000321110000003210000000000021.00035800030033912120306218300.00%10100.00%023140856.62%19641147.69%11421752.53%2112198189
Since Last GM Reset1646020314244-21134010213032-25120101012120190.5944264106019131595591871921762055216111824944715.91%541277.78%123140856.62%19641147.69%11421752.53%363213329143288143
Total1646020314244-21134010213032-25120101012120190.5944264106019131595591871921762055216111824944715.91%541277.78%123140856.62%19641147.69%11421752.53%363213329143288143
Vs Conference12440102132311933000212526-131101000752150.62532498101810117411149135126114131118818537718.92%391074.36%123140856.62%19641147.69%11421752.53%274163245106214106
Vs Division8330101021192522000101414031101000752100.6252132530185632789793873279635012328621.43%25676.00%123140856.62%19641147.69%11421752.53%1851111596713971
15Wild2010001046-22010001046-20000000000020.50045900201264251425268141038800.00%5260.00%123140856.62%19641147.69%11421752.53%472740183719

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1619L1426410655955216111824901
All Games
GPWLOTWOTL SOWSOLGFGA
164620314244
Home Games
GPWLOTWOTL SOWSOLGFGA
113410213032
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51210101212
Last 10 Games
WLOTWOTL SOWSOL
251020
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
44715.91%541277.78%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18719217620913159
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23140856.62%19641147.69%11421752.53%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
363213329143288143


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
2 - 2018-10-0311Jets1Blues 2WBoxScore
4 - 2018-10-0524Blackhawks3Blues 6WBoxScore
10 - 2018-10-1154Flames5Blues 3LBoxScore
11 - 2018-10-1268Blues 4Blackhawks3WXBoxScore
12 - 2018-10-1372Ducks3Blues 2LXXBoxScore
15 - 2018-10-1686Blues 3Canadiens2WXXBoxScore
18 - 2018-10-19106Blues 2Maple Leafs5LBoxScore
20 - 2018-10-21120Blues 2Jets0WBoxScore
23 - 2018-10-24137Blue Jackets2Blues 3WXBoxScore
25 - 2018-10-26155Blackhawks4Blues 2LBoxScore
30 - 2018-10-31186Golden Knights2Blues 3WXXBoxScore
32 - 2018-11-02201Wild4Blues 1LBoxScore
35 - 2018-11-05221Hurricanes4Blues 2LBoxScore
38 - 2018-11-08239Sharks2Blues 3WBoxScore
40 - 2018-11-10253Wild2Blues 3WXXBoxScore
43 - 2018-11-13273Blues 1Blackhawks2LBoxScore
45 - 2018-11-15290Blues -Golden Knights-
46 - 2018-11-16302Blues -Sharks-
48 - 2018-11-18313Kings-Blues -
50 - 2018-11-20326Blues -Predators-
51 - 2018-11-21344Predators-Blues -
52 - 2018-11-22348Jets-Blues -
57 - 2018-11-27377Blues -Red Wings-
59 - 2018-11-29393Blues -Avalanche-
60 - 2018-11-30404Blues -Coyotes-
64 - 2018-12-04426Oilers-Blues -
66 - 2018-12-06441Blues -Jets-
68 - 2018-12-08454Canucks-Blues -
70 - 2018-12-10470Panthers-Blues -
73 - 2018-12-13492Avalanche-Blues -
75 - 2018-12-15507Flames-Blues -
77 - 2018-12-17524Blues -Oilers-
79 - 2018-12-19539Blues -Canucks-
81 - 2018-12-21550Blues -Flames-
83 - 2018-12-23572Sabres-Blues -
85 - 2018-12-25592Penguins-Blues -
87 - 2018-12-27604Rangers-Blues -
90 - 2018-12-30627Capitals-Blues -
92 - 2019-01-01642Islanders-Blues -
94 - 2019-01-03653Blues -Flyers-
95 - 2019-01-04664Stars-Blues -
97 - 2019-01-06677Canadiens-Blues -
99 - 2019-01-08695Blues -Stars-
101 - 2019-01-10709Blues -Capitals-
102 - 2019-01-11711Blues -Islanders-
104 - 2019-01-13726Blues -Bruins-
106 - 2019-01-15742Senators-Blues -
108 - 2019-01-17757Blues -Kings-
110 - 2019-01-19769Blues -Ducks-
116 - 2019-01-25797Blues -Blue Jackets-
119 - 2019-01-28811Blues -Panthers-
121 - 2019-01-30831Blues -Lightning-
123 - 2019-02-01843Predators-Blues -
124 - 2019-02-02852Blues -Predators-
126 - 2019-02-04869Devils-Blues -
128 - 2019-02-06884Blues -Coyotes-
130 - 2019-02-08894Blues -Avalanche-
131 - 2019-02-09905Blues -Wild-
133 - 2019-02-11921Maple Leafs-Blues -
135 - 2019-02-13937Blues -Stars-
137 - 2019-02-15947Bruins-Blues -
138 - 2019-02-16959Blues -Wild-
140 - 2019-02-18975Predators-Blues -
143 - 2019-02-21995Blues -Hurricanes-
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2019-02-221007Stars-Blues -
148 - 2019-02-261031Blues -Ducks-
149 - 2019-02-271042Blues -Kings-
151 - 2019-03-011049Blues -Sharks-
154 - 2019-03-041076Coyotes-Blues -
156 - 2019-03-061086Blues -Senators-
158 - 2019-03-081099Blues -Penguins-
159 - 2019-03-091112Blues -Sabres-
161 - 2019-03-111127Oilers-Blues -
163 - 2019-03-131140Red Wings-Blues -
165 - 2019-03-151159Lightning-Blues -
167 - 2019-03-171173Golden Knights-Blues -
171 - 2019-03-211197Blues -Rangers-
172 - 2019-03-221208Blues -Devils-
174 - 2019-03-241225Avalanche-Blues -
176 - 2019-03-261240Blues -Blackhawks-
177 - 2019-03-271248Flyers-Blues -
179 - 2019-03-291258Canucks-Blues -



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price100603525200
Attendance6410753050212084109810435
Attendance PCT97.13%96.45%96.40%93.40%94.86%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
30 17263 - 95.91% 1,222,766$13,450,430$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
76,557,000$ 67,053,666$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
19,236,360$ 76,557,000$ 18,818,492$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
36,682,991$ 135 437,190$ 59,020,650$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
60,322,400$ 76,557,000$ 34,766,499$ 11,127,090$



Depth Chart

Left WingCenterRight Wing
Nikita KucherovAGE:25PO:84OV:76
Filip ForsbergAGE:24PO:83OV:74
Evgeni DadonovAGE:29PO:81OV:72
Darren HelmAGE:31PO:74OV:69
Nick BoninoAGE:30PO:73OV:69
Tom PyattAGE:31PO:68OV:65
Barclay GoodrowAGE:25PO:68OV:63
*Ryan HitchcockAGE:22PO:64OV:59
Alexander NylanderAGE:20PO:61OV:59
*Giovanni FioreAGE:22PO:62OV:58
Ryan JohansenAGE:26PO:77OV:74
Joe ThorntonAGE:39PO:76OV:74
Teuvo TeravainenAGE:24PO:76OV:70
Darren HelmAGE:31PO:74OV:69
Nick BoninoAGE:30PO:73OV:69
Colton SissonsAGE:25PO:71OV:69
Vladimir SobotkaAGE:31PO:72OV:68
Mark LetestuAGE:33PO:69OV:68
Tom PyattAGE:31PO:68OV:65
Nic DowdAGE:28PO:65OV:63
Colin SmithAGE:25PO:63OV:60
*Ryan HitchcockAGE:22PO:64OV:59
*Lane PedersonAGE:21PO:61OV:58
Sam VigneaultAGE:23PO:60OV:58
*Justin ScottAGE:23PO:55OV:55
Joseph LaBateAGE:25PO:54OV:53
Nikita KucherovAGE:25PO:84OV:76
Filip ForsbergAGE:24PO:83OV:74
Evgeni DadonovAGE:29PO:81OV:72
Teuvo TeravainenAGE:24PO:76OV:70
Darren HelmAGE:31PO:74OV:69
Colton SissonsAGE:25PO:71OV:69
Tom PyattAGE:31PO:68OV:65
Barclay GoodrowAGE:25PO:68OV:63
Alexander NylanderAGE:20PO:61OV:59
*Giovanni FioreAGE:22PO:62OV:58
*Justin ScottAGE:23PO:55OV:55

Defense #1Defense #2Goalie
Shea WeberAGE:33PO:76OV:78
Nick LeddyAGE:27PO:71OV:74
Josh MansonAGE:27PO:69OV:74
Brent SeabrookAGE:33PO:66OV:73
Mark PysykAGE:26PO:65OV:70
Niklas KronwallAGE:37PO:64OV:68
Jan RuttaAGE:28PO:64OV:65
Chris ButlerAGE:32PO:59OV:64
Chad RuhwedelAGE:28PO:60OV:62
Jamie McBainAGE:30PO:54OV:57
Zac LeslieAGE:24PO:50OV:54
Pekka RinneAGE:36PO:90OV:85
Philipp GrubauerAGE:26PO:80OV:74
Ville HussoAGE:23PO:66OV:65
Jared CoreauAGE:27PO:65OV:65

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
Elias PetterssonBlues 20175
Hardy Haman-AktellBlues 2016110
Ilya SorokinBlues
Jachym KondelikBlues 201896
Jack DruryBlues 201843
Jacob Bernard-DockerBlues 201841
Kevin BahlBlues 201863
Konstantin VolkovBlues 2016173
Mason ShawBlues 201798

Draft Picks

Year R1R2R3R4R5R6R7
2019ARI NAS BUF MIN STL ANA
2020BUF STL MIN STL BUF STL BUF MIN STL BUF STL STL STL
2021STL STL STL STL STL STL STL
2022STL STL STL STL STL STL STL
2023STL STL STL STL STL STL STL



[2018-09-17 8:50:34 AM] - Wolves hired Kevin McCarthy for $650,000 for 4 year(s).
[2018-08-20 4:22:27 PM] - Team Name Change : Wolves changed name to Wolves
[2018-08-14 9:16:09 PM] - Colin Smith signed with Blues for $700,000 for 3 year(s) with $0 in bonus.
[2018-08-14 9:16:09 PM] - Colin Smith was added to Blues .
[2018-08-11 10:49:19 AM] - Lee Stempniak was released.
[2018-08-11 10:49:19 AM] - Blues paid $0 to release Lee Stempniak.
[2018-08-08 6:28:19 PM] - TRADE : From Blues to Wild : Nick Ellis (53), Y:2019-RND:4-STL.
[2018-08-08 6:28:19 PM] - TRADE : From Wild to Blues : Justin Scott (55), Y:2020-RND:4-MIN.
[2018-08-08 6:28:18 PM] - Justin Scott was added to Blues .
[2018-08-07 9:46:58 AM] - TRADE : From Blues to Sabres : T.J. Hensick (59), Brad Thiessen (49), Y:2019-RND:7-OTT.
[2018-08-07 9:46:58 AM] - TRADE : From Sabres to Blues : Y:2020-RND:5-BUF.
[2018-07-31 2:07:58 PM] - TRADE : From Blues to Maple Leafs : $1 (Money).
[2018-07-31 2:07:58 PM] - TRADE : From Maple Leafs to Blues : Nick Ellis (53).
[2018-07-31 2:07:58 PM] - Nick Ellis was added to Blues .
[2018-07-31 1:55:40 PM] - Sam Vigneault signed with Blues for $925,000 for 3 year(s) with $0 in bonus.
[2018-07-31 1:55:40 PM] - Sam Vigneault was added to Blues .
[2018-07-31 1:55:32 PM] - Ryan Hitchcock signed with Blues for $1,000,000 for 3 year(s) with $0 in bonus.
[2018-07-31 1:55:32 PM] - Ryan Hitchcock was added to Blues .
[2018-07-31 1:55:22 PM] - Lane Pederson signed with Blues for $925,000 for 3 year(s) with $0 in bonus.
[2018-07-31 1:55:22 PM] - Lane Pederson was added to Blues .
[2018-07-31 1:55:13 PM] - Giovanni Fiore signed with Blues for $925,000 for 3 year(s) with $0 in bonus.
[2018-07-31 1:55:13 PM] - Giovanni Fiore was added to Blues .
[2018-07-23 9:41:48 PM] - Vladimir Sobotka signed with Blues for $3,500,000 for 3 year(s) with $0 in bonus.
[2018-07-23 9:41:48 PM] - Vladimir Sobotka was added to Blues .
[2018-07-23 9:41:37 PM] - Mark Letestu signed with Blues for $1,800,000 for 2 year(s) with $0 in bonus.
[2018-07-23 9:41:37 PM] - Mark Letestu was added to Blues .
[2018-07-23 9:41:25 PM] - Jan Rutta signed with Blues for $2,300,000 for 3 year(s) with $0 in bonus.
[2018-07-23 9:41:25 PM] - Jan Rutta was added to Blues .
[2018-07-23 9:41:16 PM] - Evgeni Dadonov signed with Blues for $4,000,000 for 3 year(s) with $0 in bonus.
[2018-07-23 9:41:16 PM] - Evgeni Dadonov was added to Blues .
[2018-07-16 7:28:44 PM] - TRADE : From Blues to Wild : Y:2019-RND:6-FLA, Y:2019-RND:7-BUF.
[2018-07-16 7:28:44 PM] - TRADE : From Wild to Blues : Tom Pyatt (65).
[2018-07-16 7:28:44 PM] - Tom Pyatt was added to Blues .
[2018-07-16 7:28:29 PM] - TRADE : From Blues to Sabres : Brian Dumoulin (70), Mackenzie MacEachern (54).
[2018-07-16 7:28:29 PM] - TRADE : From Sabres to Blues : Mark Pysyk (70), Y:2020-RND:2-BUF, Y:2020-RND:3-BUF.
[2018-07-16 7:28:28 PM] - Mark Pysyk was added to Blues .
[2018-07-08 12:54:52 PM] - TRADE : From Sabres to Blues : Alexander Nylander (59), Y:2020-RND:1-BUF, Y:2019-RND:4-STL.
[2018-07-08 12:54:52 PM] - TRADE : From Blues to Sabres : David Perron (73), Y:2019-RND:6-PIT.
[2018-07-08 12:54:51 PM] - Alexander Nylander was added to Blues .
[2018-07-05 9:45:24 PM] - TRADE : From Blues to Kings : $5 (Money).
[2018-07-05 9:45:24 PM] - TRADE : From Kings to Blues : Jared Coreau (65), Joseph LaBate (53), Zac Leslie (54).
[2018-07-05 9:45:23 PM] - Zac Leslie was added to Blues .
[2018-07-05 9:45:23 PM] - Joseph LaBate was added to Blues .
[2018-07-05 9:45:23 PM] - Jared Coreau was added to Blues .
[2018-07-05 10:24:58 AM] - TRADE : From Wild to Blues : Y:2020-RND:1-MIN.
[2018-07-03 10:48:22 PM] - Blues drafts Jachym Kondelik as the #96 overall pick in the Entry Draft of year 2018.
[2018-07-03 9:38:29 PM] - Blues drafts Kevin Bahl as the #63 overall pick in the Entry Draft of year 2018.
[2018-07-03 7:06:34 AM] - TRADE : From Sabres to Blues : Y:2018-RND:4-BOS.
[2018-07-03 7:06:34 AM] - TRADE : From Blues to Sabres : Jack Glover (P).
[2018-06-29 8:16:38 AM] - TRADE : From Sabres to Blues : Y:2018-RND:3-LOS.
[2018-06-29 8:16:38 AM] - TRADE : From Blues to Sabres : Pavel Koltygin (P), Y:2019-RND:4-STL.
[2018-06-25 9:42:23 PM] - Blues drafts Jack Drury as the #43 overall pick in the Entry Draft of year 2018.
[2018-06-25 9:34:53 PM] - Blues drafts Jacob Bernard-Docker as the #41 overall pick in the Entry Draft of year 2018.



[2018-11-14 7:47:44 AM] Both Golden Knights and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-14 7:47:44 AM] Both Blues and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-13 8:20:52 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-13 8:20:52 AM] Last 7 Days Farm Star : 1 - Chris Butler of Wolves (2-4-6) / 2 - Nic Dowd of Wolves (1-3-4) / 3 - Giovanni Fiore of Wolves (2-1-3)
[2018-11-12 10:47:22 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-11 8:55:58 AM] Blues lines for next game are empty. Current rosters/lines are not erased.
[2018-11-10 8:15:03 AM] Ryan Hitchcock from Wolves is back from Left Hand Injury.
[2018-11-10 8:15:03 AM] Both Golden Knights and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-09 8:28:42 AM] Both Blues and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-08 8:13:54 AM] Both Golden Knights and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-08 8:13:54 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-08 8:13:52 AM] Game 264 - Ryan Hitchcock from Wolves is injured (Left Hand) and is out for 1 week.
[2018-11-07 6:50:42 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-06 6:53:43 AM] Both Blues and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-05 7:00:15 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-04 8:45:03 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-03 8:49:36 AM] Blues lines for next game are empty. Current rosters/lines are not erased.
[2018-11-02 8:29:20 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-11-01 8:21:52 AM] Both Blues and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-31 8:28:54 AM] Anthony Richard from Wolves is back from Back Injury.
[2018-10-31 8:28:54 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-30 10:29:35 AM] Both Golden Knights and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-30 10:29:35 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-27 8:30:39 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-27 8:30:39 AM] Both Blues and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-25 6:59:19 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-24 7:38:30 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-23 8:42:12 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-23 8:42:12 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-22 8:28:19 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-21 10:11:43 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-19 7:54:12 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-19 7:54:12 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-18 8:12:18 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-17 6:48:28 AM] Wolves lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-10-16 6:56:05 AM] Both Golden Knights and Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-16 6:56:05 AM] Game 98 - Anthony Richard from Wolves is injured (Back) and is out for 3 weeks.
[2018-10-15 6:57:32 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-14 8:47:59 AM] Wolves lines for next game are empty. Current rosters/lines are not erased.
[2018-10-13 9:11:13 AM] Wolves lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.



No Injury or Suspension.


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
2017822827056412214213141181002425109941541101703227105119-14562143495635244798210254474286290988254784741713942075024.15%2074379.23%3858171949.91%869189845.79%567110651.27%171893717197631574803
20181646020314244-21134010213032-25120101012120194264106019131595591871921762055216111824944715.91%541277.78%123140856.62%19641147.69%11421752.53%363213329143288143
Total Regular Season983233076713256257-1522114034461391261346111904237117131-147525641366953539297193103929105410851083099100853516432515722.71%2615578.93%41089212751.20%1065230946.12%681132351.47%2082115120499061862947
Playoff
201712660000029281624000001316-36420000016124122948771069140388108133147042613678204411024.39%391171.79%112527844.96%11729439.80%7416046.25%249139259106211106
Total Playoff12660000029281624000001316-36420000016124122948771069140388108133147042613678204411024.39%391171.79%112527844.96%11729439.80%7416046.25%249139259106211106