Blues

GP: 82 | W: 42 | L: 36 | OTL: 4 | P: 88
GF: 225 | GA: 223 | PP%: 12.62% | PK%: 82.10%
GM : Martin Mercier | Morale : 57 | Team Overall : 70
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
1Bryan Little (A)XX100.005613967969958481868276776969647438740
2Paul StastnyX100.005715917673968978928173776174626970730
3Cam AtkinsonXX100.005413968161919683327980797266667552730
4Micheal FerlandXX98.007941877577839376647081597857565579710
5Boone JennerXX100.008244877381889673807073735853606163710
6Vladimir SobotkaX100.007143817261879672757370687167694778680
7Loui ErikssonXX100.005013987472969075347371765974615972680
8Tobias RiederXXX100.005612986966889570327169765353525870660
9Antoine RousselXX100.006488696973799070366966745363547355660
10Alex ChiassonX100.006030906979769769326464655259517352640
11Vernon FiddlerXX100.005636856373718963856361684884585663630
12Erik JohnsonX100.007136906787937867307267805165547051700
13Mattias EkholmX100.005918916882909967307265734960535677680
14Trevor Daley (A)X100.005420917170869071307269765078606278680
15Michael StoneX100.007422886680858966317063754860516437680
16Karl AlznerX100.006517946182849960306662784665506056670
17Ryan MurrayX100.005417946576848765306863744652475735650
Scratches
1Vladimir Tarasenko (C)X94.375519958679939887338182727960668167750
TEAM AVERAGE99.58622890717587927248727073586457646169
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
1Ben Bishop100.00878784998690908890867874804562860
2Peter Budaj100.00899286738988878688868584812872840
Scratches
TEAM AVERAGE100.0088908586888989878986827981376785
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Randy Carlyle84798375758150CAN5621,500,000$


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
1Vladimir TarasenkoBluesRW82404787162210681473412211.73%11178721.805914501890000237433.33%19500030.97370021153
2Paul StastnyBluesC7723436620260100210231019.96%21162221.072911221300000354056.57%203100000.8113000344
3Cam AtkinsonBluesLW/RW7531336417240731422660411.65%15157320.986410251540001296032.26%12400000.8117000253
4Bryan LittleBluesC/RW76173249112020183230027.39%14124016.33235301350001671454.31%144900000.7914000242
5Boone JennerBluesC/LW791927462495169124217248.76%13138517.53156211050111854154.17%86400010.6612001533
6Michael StoneBluesD791034441665516667880111.36%85164520.8324632170011096110.00%000000.5300001164
7Erik JohnsonBluesD77635411610151918478007.69%104176522.93123221320002138100.00%000000.4600010146
8Tobias RiederBluesC/LW/RW7916213766038103172109.30%17123315.61246167700021404141.58%10100000.6011000322
9Mattias EkholmBluesD7962935867151246582007.32%109177722.50224321570001156010.00%000100.3900102111
10Loui ErikssonBluesLW/RW81131932-2801186188016.91%14118614.652139350222854130.69%10100000.5401000121
11Trevor DaleyBluesD82724313375699590007.78%101194923.78123391690001145300.00%000000.3200001010
12Micheal FerlandBluesLW/RW821312251736015353166127.83%4134716.43134141200001793148.08%20800000.3725000233
13Daniel WinnikWolves (STL)C/LW/RW69815231395277382009.76%1077611.2600044902231802037.13%16700000.5900100401
14Karl AlznerBluesD6731922-13320944657005.26%90140921.0404412721232135100.00%000000.3100000103
15Mark StreitWolves (STL)D515162101603335410012.20%66103220.251121677000096000.00%000000.4100000110
16Vladimir SobotkaBluesLW5281321-5215745998008.16%781515.69123990000000056.34%7100000.5101001201
17Ryan MurrayBluesD674121632555242280014.29%66106015.83101635000094000.00%000000.3000001000
18Antoine RousselBluesC/LW82761355620715192117.61%984510.320001300000550137.50%13600000.3101031013
19Cody FransonWolves (STL)D40210127240732127007.41%3663215.80000230000028000.00%000000.3800000001
20Vernon FiddlerBluesC/LW74369-92315194944006.82%45277.13000040000261160.12%49400000.3400120001
21Alex ChiassonBluesRW62145-16115212443002.33%84567.3600029000000032.61%4600000.2200001000
22Nick JensenWolves (STL)D9011-280432000.00%814115.710000800006000.00%000000.1400000000
23Laurent DauphinWolves (STL)C8000-240460000.00%0668.2900003000000044.07%5900000.0000000000
24Ty RattieWolves (STL)RW1000000100000.00%099.5500000000000050.00%200000.0000000000
25Martin FrkWolves (STL)RW2000000102000.00%0115.880000000000000.00%000000.0000000000
26Kris NewburyWolves (STL)C/LW/RW2000055431000.00%0136.8400000000000066.67%1800000.0000001000
Team Total or Average15342424587001016871051660177126667189.08%8122631417.153055853641991189171709421652.52%606600140.5310323612404242
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
1Ben BishopBlues60302530.9102.6035552315417070130.767305923542
2Peter BudajBlues26121110.9072.60140822616540120.60052359310
Team Total or Average86423640.9092.6049634521523610250.743358282852


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 StatusType Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap 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
Alex ChiassonBluesRW271990-12-31 05:13:51No208 Lbs6 ft4NoNoYes1RFAPro & Farm780,000$780,000$780,000$0$NoNHL Link
Antoine Roussel (1 Way Contract)BluesC/LW291988-12-31 16:41:55No200 Lbs6 ft0NoNoYes2UFAPro & Farm1,680,000$1,680,000$1,680,000$0$No1,680,000$NHL Link
Ben Bishop (1 Way Contract)BluesG311986-12-31No214 Lbs6 ft7NoNoYes4UFAPro & Farm6,810,000$6,810,000$6,810,000$0$No6,810,000$6,810,000$6,810,000$NHL Link
Boone Jenner (1 Way Contract)BluesC/LW241993-12-31 17:56:23No216 Lbs6 ft2NoNoYes4RFAPro & Farm3,424,000$3,424,000$3,424,000$0$No3,424,000$3,424,000$3,424,000$NHL Link
Bryan LittleBluesC/RW301987-12-31No191 Lbs6 ft0NoNoYes1UFAPro & Farm5,500,000$5,500,000$5,500,000$0$NoNHL Link
Cam Atkinson (1 Way Contract)BluesLW/RW281989-12-31No182 Lbs5 ft8NoNoYes4UFAPro & Farm3,680,000$3,680,000$3,680,000$0$No3,680,000$3,680,000$3,680,000$NHL Link
Erik Johnson (1 Way Contract)BluesD291988-12-31No225 Lbs6 ft4NoNoYes3UFAPro & Farm3,940,000$3,940,000$3,940,000$0$No3,940,000$3,940,000$NHL Link
Karl Alzner (1 Way Contract)BluesD291988-12-31No219 Lbs6 ft3NoNoYes3UFAPro & Farm2,230,000$2,230,000$2,230,000$0$No2,230,000$2,230,000$NHL Link
Loui Eriksson (1 Way Contract)BluesLW/RW321985-12-31No196 Lbs6 ft2NoNoYes4UFAPro & Farm5,990,000$5,990,000$5,990,000$0$No5,990,000$5,990,000$5,990,000$NHL Link
Mattias Ekholm (1 Way Contract)BluesD271990-12-31 08:27:34No215 Lbs6 ft4NoNoYes1RFAPro & Farm2,260,000$2,260,000$2,260,000$0$NoNHL Link
Michael Stone (1 Way Contract)BluesD271990-12-31No210 Lbs6 ft3NoNoYes5RFAPro & Farm3,650,000$3,650,000$3,650,000$0$No3,650,000$3,650,000$3,650,000$3,650,000$NHL Link
Micheal FerlandBluesLW/RW251992-12-31 12:22:29No208 Lbs6 ft2NoNoYes1RFAPro & Farm630,000$630,000$630,000$0$NoNHL Link
Paul Stastny (1 Way Contract)BluesC321985-12-31No202 Lbs6 ft0NoNoYes4UFAPro & Farm6,950,000$6,950,000$6,950,000$0$No6,950,000$6,950,000$6,950,000$NHL Link
Peter BudajBluesG351982-12-31No195 Lbs6 ft1NoNoYes1UFAPro & Farm999,999$999,999$999,999$0$NoNHL Link
Ryan MurrayBluesD241993-12-31 11:46:34No211 Lbs6 ft1NoNoYes1RFAPro & Farm1,700,000$1,700,000$1,700,000$0$NoNHL Link
Tobias RiederBluesC/LW/RW241993-12-31 14:20:31No185 Lbs5 ft11NoNoYes1RFAPro & Farm920,000$920,000$920,000$0$NoNHL Link
Trevor DaleyBluesD341983-12-31No195 Lbs5 ft11NoNoYes3UFAPro & Farm4,625,000$4,625,000$4,625,000$0$No4,625,000$4,625,000$NHL Link
Vernon Fiddler (1 Way Contract)BluesC/LW371980-12-31No205 Lbs5 ft11NoNoYes1UFAPro & Farm2,750,000$2,750,000$2,750,000$0$NoNHL Link
Vladimir SobotkaBluesLW301987-07-02 18:01:19No184 Lbs5 ft10NoNoYes3UFAPro & Farm3,500,000$3,500,000$3,500,000$0$No3,500,000$3,500,000$NHL Link
Vladimir Tarasenko (Out of Payroll)BluesRW261991-12-31No219 Lbs6 ft0NoNoYes1RFAPro & Farm3,875,000$3,875,000$0$0$YesNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2029.00204 Lbs6 ft12.403,294,700$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
65,893,999$46,479,000$44,799,000$30,504,000$3,650,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Micheal FerlandPaul Stastny36032
2Cam AtkinsonBryan LittleTobias Rieder34023
3Vladimir SobotkaBoone JennerLoui Eriksson25041
4Antoine RousselVernon FiddlerAlex Chiasson5041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonMichael Stone36023
2Karl AlznerTrevor Daley34023
3Ryan MurrayMattias Ekholm20023
4Trevor DaleyMattias Ekholm10023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cam AtkinsonPaul Stastny60005
2Micheal FerlandBoone JennerLoui Eriksson40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonTrevor Daley60005
2Michael StoneKarl Alzner40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Bryan LittleTobias Rieder60050
2Tobias RiederLoui Eriksson40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Karl AlznerRyan Murray60050
2Erik JohnsonMattias Ekholm40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tobias Rieder60050Erik JohnsonRyan Murray60050
2Loui Eriksson40050Trevor DaleyKarl Alzner40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Paul StastnyCam Atkinson60023
2Loui ErikssonBoone Jenner40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Karl AlznerMattias Ekholm60023
2Trevor DaleyMichael Stone40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Cam AtkinsonPaul StastnyMichael StoneMattias Ekholm
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cam AtkinsonPaul StastnyBryan LittleErik JohnsonKarl Alzner
Extra Forwards
Normal PowerPlayPenalty Kill
Loui Eriksson, Antoine Roussel, Micheal FerlandVladimir Sobotka, Antoine RousselMicheal Ferland
Extra Defensemen
Normal PowerPlayPenalty Kill
Mattias Ekholm, Michael Stone, Trevor DaleyTrevor DaleyRyan Murray, Trevor Daley
Penalty Shots
, Micheal Ferland, Cam Atkinson, Bryan Little, Boone Jenner
Goalie
#1 : Peter Budaj, #2 : Ben Bishop


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
1Avalanche52201000151413200100013762020000027-560.6001527420055411615049611130436211219210.53%18477.78%01521282353.88%1485282452.58%659122953.62%12690112336131
2Blackhawks43100000175122200000071621100000104660.750173249016740148425056010236608920525.00%11281.82%01521282353.88%1485282452.58%659122953.62%1057584274926
3Blue Jackets22000000523110000002111100000031241.000510150021205822132304617231500.00%10100.00%01521282353.88%1485282452.58%659122953.62%493546142412
4Bruins201000106601010000023-11000001043120.50061016001311612218201067184324125.00%220.00%01521282353.88%1485282452.58%659122953.62%503549142412
5Canadiens2020000017-61010000014-31010000003-300.00012300010071222227059211033300.00%4250.00%01521282353.88%1485282452.58%659122953.62%483346122412
6Canucks30300000914-51010000034-120200000610-400.0009162500234010033264101003324607228.57%10280.00%01521282353.88%1485282452.58%659122953.62%694873233717
7Capitals2110000089-1110000004311010000046-220.5008152310413066262020066224345120.00%20100.00%01521282353.88%1485282452.58%659122953.62%523843122413
8Coyotes31200000710-32110000056-11010000024-220.333712190014208730253209633606310110.00%16287.50%01521282353.88%1485282452.58%659122953.62%684777203416
9Devils2020000025-31010000001-11010000024-200.00024600101049121918065281231300.00%5340.00%01521282353.88%1485282452.58%659122953.62%423053142411
10Ducks310000111091210000107521000000134-150.8331018280043239331263212893814596116.67%4250.00%01521282353.88%1485282452.58%659122953.62%755476223819
11Flames33000000936110000004042200000053261.0009172602351088273229076161240000.00%50100.00%01521282353.88%1485282452.58%659122953.62%775565203718
12Flyers20000020972100000104311000001054141.000913220042156118132510582212387228.57%6183.33%01521282353.88%1485282452.58%659122953.62%523752162512
13Golden Knights31000011121021000000145-12100001085350.83312183000533210942303012992325579111.11%10190.00%01521282353.88%1485282452.58%659122953.62%846267203720
14Hurricanes22000000532110000002111100000032141.0005101500023059251618060191227400.00%6266.67%01521282353.88%1485282452.58%659122953.62%503745132412
15Islanders22000000624110000004131100000021141.0006111700132052181420053171432300.00%6183.33%01521282353.88%1485282452.58%659122953.62%422852152512
16Jets41300000911-2211000005412020000047-320.2509152400234010333304009931637925312.00%16475.00%01521282353.88%1485282452.58%659122953.62%9062100294824
17Kings3020001047-32010001034-11010000013-220.333461000201187421427698181269800.00%6266.67%01521282353.88%1485282452.58%659122953.62%735071223920
18Lightning2010001034-1100000103211010000002-220.50033610011262231620748141024400.00%50100.00%01521282353.88%1485282452.58%659122953.62%493449152613
19Maple Leafs2020000058-31010000023-11010000035-200.000581300221054181818071231228400.00%5180.00%01521282353.88%1485282452.58%659122953.62%463450122311
20Oilers31100100911-21000010034-12110000067-130.5009172600351080202832083231260100.00%60100.00%01521282353.88%1485282452.58%659122953.62%694972203818
21Panthers21100000440110000002111010000023-120.5004711000310801425410447827400.00%30100.00%01521282353.88%1485282452.58%659122953.62%544041122312
22Penguins2020000048-41010000035-21010000013-200.000471110022074252227046206365120.00%3166.67%01521282353.88%1485282452.58%659122953.62%513843132412
23Predators431000001266211000006332200000063360.75012213301174094263533012936668110220.00%23195.65%01521282353.88%1485282452.58%659122953.62%946698294723
24Rangers211000007701010000035-21100000042220.500712190041205722132206420839300.00%40100.00%01521282353.88%1485282452.58%659122953.62%453249132411
25Red Wings22000000413110000002021100000021141.000461001400066281622038158452150.00%40100.00%01521282353.88%1485282452.58%659122953.62%483547132412
26Sabres2110000069-3110000004221010000027-520.5006111700501064231328064101038100.00%40100.00%11521282353.88%1485282452.58%659122953.62%513643132512
27Senators22000000927110000004131100000051441.000916250033307222302003686287114.29%20100.00%01521282353.88%1485282452.58%659122953.62%533739142714
28Sharks3120000069-32020000038-51100000031220.33361117003120893225320953820581000.00%9188.89%01521282353.88%1485282452.58%659122953.62%704970223819
29Stars513000011319-62110000078-130200001611-530.3001323362055301423748546180377011715320.00%20575.00%01521282353.88%1485282452.58%659122953.62%12285118366432
Total823336021732252232411815021411171021541152100032108121-13880.5372253946195576796116250081773991169236672266615512142712.62%2294182.10%21521282353.88%1485282452.58%659122953.62%2015143419345791022513
31Wild41201000911-22010100057-22110000044040.5009162500332111332334351053628841000.00%13284.62%11521282353.88%1485282452.58%659122953.62%977093285024
_Since Last GM Reset823336021732252232411815021411171021541152100032108121-13880.5372253946195576796116250081773991169236672266615512142712.62%2294182.10%21521282353.88%1485282452.58%659122953.62%2015143419345791022513
_Vs Conference50192202133141139225109021217566925913000126673-7520.520141249390244554378149447745154242148144152810281502013.33%1672883.23%11521282353.88%1485282452.58%659122953.62%12258671181357625314
_Vs Division26111202001756691374020004330131348000013236-4270.5197513420922223021276122024528712745219349562991515.15%1011882.18%11521282353.88%1485282452.58%659122953.62%637450607184322162

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8288L222539461925002366722666155155
All Games
GPWLOTWOTL SOWSOLGFGA
8233362173225223
Home Games
GPWLOTWOTL SOWSOLGFGA
4118152141117102
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4115210032108121
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2142712.62%2294182.10%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8177399116976796116
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1521282353.88%1485282452.58%659122953.62%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2015143419345791022513


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 - 2017-11-052Blues1Penguins3LBoxScore
4 - 2017-11-0824Stars5Blues3LR1BoxScore
6 - 2017-11-1033Blues2Islanders1WBoxScore
7 - 2017-11-1139Blues4Rangers2WBoxScore
9 - 2017-11-1352Blues2Panthers3LBoxScore
11 - 2017-11-1565Blues0Lightning2LBoxScore
15 - 2017-11-1993Blackhawks0Blues3WBoxScore
16 - 2017-11-20101Blues1Avalanche4LR1BoxScore
18 - 2017-11-22121Blues4Golden Knights2WBoxScore
22 - 2017-11-26136Flames0Blues4WBoxScore
24 - 2017-11-28152Blues3Hurricanes2WBoxScore
25 - 2017-11-29162Blue Jackets1Blues2WBoxScore
27 - 2017-12-01175Kings3Blues1LBoxScore
30 - 2017-12-04191Flyers3Blues4WXXBoxScore
32 - 2017-12-06201Maple Leafs3Blues2LBoxScore
35 - 2017-12-09224Blues2Devils4LBoxScore
37 - 2017-12-11238Coyotes3Blues1LR3BoxScore
39 - 2017-12-13257Islanders1Blues4WBoxScore
41 - 2017-12-15266Blues1Flames0WBoxScore
44 - 2017-12-18286Blues3Oilers2WBoxScore
46 - 2017-12-20303Blues1Canucks3LBoxScore
49 - 2017-12-23317Oilers4Blues3LXBoxScore
52 - 2017-12-26345Predators0Blues4WR1BoxScore
53 - 2017-12-27355Wild3Blues0LR1BoxScore
57 - 2017-12-31379Ducks2Blues3WBoxScore
59 - 2018-01-02393Kings1Blues2WXXBoxScore
60 - 2018-01-03397Blues2Wild1WR1BoxScore
63 - 2018-01-06418Blues0Canadiens3LBoxScore
65 - 2018-01-08435Stars3Blues4WR1BoxScore
67 - 2018-01-10444Blues2Red Wings1WBoxScore
68 - 2018-01-11457Sabres2Blues4WBoxScore
70 - 2018-01-13471Lightning2Blues3WXXBoxScore
72 - 2018-01-15483Ducks3Blues4WXXBoxScore
74 - 2018-01-17498Jets2Blues4WBoxScore
75 - 2018-01-18507Blues3Jets4LBoxScore
78 - 2018-01-21528Blues4Flames3WBoxScore
79 - 2018-01-22536Blues3Oilers5LBoxScore
81 - 2018-01-24556Blues5Canucks7LBoxScore
85 - 2018-01-28563Predators3Blues2LR1BoxScore
87 - 2018-01-30583Blues3Stars5LR1BoxScore
88 - 2018-01-31590Hurricanes1Blues2WBoxScore
91 - 2018-02-03607Devils1Blues0LBoxScore
93 - 2018-02-05621Golden Knights5Blues4LXXBoxScore
95 - 2018-02-07633Blues5Flyers4WXXBoxScore
96 - 2018-02-08646Blues4Capitals6LBoxScore
98 - 2018-02-10657Panthers1Blues2WBoxScore
105 - 2018-02-17689Blues3Maple Leafs5LBoxScore
107 - 2018-02-19700Blues5Senators1WBoxScore
109 - 2018-02-21717Coyotes3Blues4WR3BoxScore
112 - 2018-02-24736Senators1Blues4WBoxScore
114 - 2018-02-26753Avalanche2Blues6WR1BoxScore
119 - 2018-03-03767Canadiens4Blues1LBoxScore
121 - 2018-03-05776Blues4Bruins3WXXBoxScore
123 - 2018-03-07796Blues2Sabres7LBoxScore
126 - 2018-03-10819Wild4Blues5WXR1BoxScore
128 - 2018-03-12831Avalanche1Blues2WBoxScore
129 - 2018-03-13840Blues1Jets3LBoxScore
131 - 2018-03-15852Penguins5Blues3LBoxScore
133 - 2018-03-17871Blues2Predators1WR1BoxScore
136 - 2018-03-20893Blues1Stars2LXXR1BoxScore
140 - 2018-03-24923Sharks4Blues0LBoxScore
143 - 2018-03-27943Jets2Blues1LBoxScore
145 - 2018-03-29959Blues4Predators2WR1BoxScore
147 - 2018-03-31973Blues2Wild3LR1BoxScore
148 - 2018-04-01980Red Wings0Blues2WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2018-04-041001Blues2Stars4LR1BoxScore
156 - 2018-04-091043Blues3Sharks1WBoxScore
158 - 2018-04-111053Blues1Kings3LBoxScore
160 - 2018-04-131068Blues3Ducks4LXXBoxScore
163 - 2018-04-161089Avalanche4Blues5WXR1BoxScore
165 - 2018-04-181105Rangers5Blues3LBoxScore
166 - 2018-04-191113Blues8Blackhawks1WBoxScore
169 - 2018-04-221134Bruins3Blues2LBoxScore
171 - 2018-04-241148Canucks4Blues3LBoxScore
172 - 2018-04-251160Blues3Blue Jackets1WBoxScore
175 - 2018-04-281181Sharks4Blues3LBoxScore
178 - 2018-05-011205Blues4Golden Knights3WXXBoxScore
179 - 2018-05-021215Blues2Coyotes4LR3BoxScore
181 - 2018-05-041226Capitals3Blues4WBoxScore
183 - 2018-05-061239Blackhawks1Blues4WBoxScore
185 - 2018-05-081255Blues2Blackhawks3LBoxScore
186 - 2018-05-091267Blues1Avalanche3LR1BoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity70004000400020001000
Ticket Price95604025185
Attendance277,106159,141157,18179,67239,182
Attendance PCT96.55%97.04%95.84%97.16%95.57%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 17373 - 96.52% 1,561,703$64,029,830$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
72,679,754$ 69,275,999$ 69,275,999$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
372,452$ 71,179,789$ 0$ 21 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 380,516$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 71,179,789$ 762,863$ 762,863$



Depth Chart

Left WingCenterRight Wing
Cam AtkinsonAGE:28PO:75OV:73
Boone JennerAGE:24PO:61OV:71
Micheal FerlandAGE:25PO:55OV:71
Loui ErikssonAGE:32PO:59OV:68
Vladimir SobotkaAGE:30PO:47OV:68
Antoine RousselAGE:29PO:73OV:66
Daniel WinnikAGE:32PO:66OV:66
Tobias RiederAGE:24PO:58OV:66
Vernon FiddlerAGE:37PO:56OV:63
Ryan HamiltonAGE:32PO:49OV:58
Kris NewburyAGE:35PO:42OV:56
*Michael CarconeAGE:21PO:74OV:49
*Shawn Ouellette-St. AmantAGE:21PO:74OV:48
*Trevor CheekAGE:25PO:59OV:47
*Emerson ClarkAGE:25PO:41OV:47
*Brady ShawAGE:25PO:62OV:44
Bryan LittleAGE:30PO:74OV:74
Paul StastnyAGE:32PO:69OV:73
Boone JennerAGE:24PO:61OV:71
Antoine RousselAGE:29PO:73OV:66
Daniel WinnikAGE:32PO:66OV:66
Tobias RiederAGE:24PO:58OV:66
Vernon FiddlerAGE:37PO:56OV:63
*Laurent DauphinAGE:22PO:73OV:57
Kris NewburyAGE:35PO:42OV:56
*Jujhar KhairaAGE:23PO:63OV:55
*Kyle CriscuoloAGE:25PO:62OV:54
*Jordan MalettaAGE:22PO:71OV:53
*Wacey HamiltonAGE:27PO:38OV:51
Kellan LainAGE:28PO:36OV:47
Vladimir TarasenkoAGE:26PO:81OV:75
Bryan LittleAGE:30PO:74OV:74
Cam AtkinsonAGE:28PO:75OV:73
Micheal FerlandAGE:25PO:55OV:71
Loui ErikssonAGE:32PO:59OV:68
Daniel WinnikAGE:32PO:66OV:66
Tobias RiederAGE:24PO:58OV:66
Alex ChiassonAGE:27PO:73OV:64
*Martin FrkAGE:24PO:61OV:56
Kris NewburyAGE:35PO:42OV:56
Anthony PelusoAGE:28PO:55OV:55
*Ty RattieAGE:24PO:61OV:54
*Max NovakAGE:26PO:49OV:51
*Jacob DotyAGE:24PO:42OV:49
*Jon MartinAGE:22PO:46OV:48
*Jiri FronkAGE:23PO:62OV:47
*Alexandre RangerAGE:22PO:46OV:45

Defense #1Defense #2Goalie
Erik JohnsonAGE:29PO:70OV:70
Mark StreitAGE:40PO:52OV:69
Michael StoneAGE:27PO:64OV:68
Trevor DaleyAGE:34PO:62OV:68
Mattias EkholmAGE:27PO:56OV:68
Cody FransonAGE:30PO:48OV:68
Karl AlznerAGE:29PO:60OV:67
Ryan MurrayAGE:24PO:57OV:65
*Nick JensenAGE:27PO:59OV:60
*Robbie RussoAGE:24PO:60OV:58
*Adam ComrieAGE:27PO:57OV:55
Chris BreenAGE:29PO:34OV:55
*Charles-David BeaudoinAGE:23PO:68OV:51
*Sergei BoikovAGE:21PO:74OV:50
*Joe FaustAGE:26PO:50OV:48
*Loic LeducAGE:23PO:44OV:48
*Rob HamiltonAGE:23PO:68OV:47
*Brandon AnselminiAGE:24PO:65OV:47
*Sam JardineAGE:24PO:43OV:47
Ben BishopAGE:31PO:45OV:86
Peter BudajAGE:35PO:28OV:84
Troy GrosenickAGE:28PO:52OV:61
Brad ThiessenAGE:31PO:37OV:53
*Michael HouserAGE:25PO:61OV:48

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
A.J. MichaelsonBlues
Aaron HaydonBlues
Alex CoulombeBlues
Andrei LoktionovBlues
Antoine SamuelBlues
Ashton SautnerBlues
Austin WagnerBlues
Blake HeinrichBlues
Blake ThompsonBlues
Bogdan YakimovBlues
Brett SonneBlues
Brycen MartinBlues
Cade FairchildBlues
Calvin PetersenBlues
Cedric ParéBlues
Chaz ReddekoppBlues
Colin SullivanBlues
Conner ChathamBlues
Craig DuininckBlues
Craig WyszomirskiBlues
Dalton SmithBlues
Dane FoxBlues
Dani SkorikovBlues
Daniel KrejciBlues
David NoelBlues
Denis GurianovBlues
Dylan KingBlues
Eric RoyBlues
Fedor GordeevBlues
Filip GustavssonBlues
Filip WesterlundBlues
Gabriel BeaupreBlues
Gabriel FontaineBlues
Geoff WalkerBlues
Jace CoyleBlues
James LivingstonBlues
Jason ClarkBlues
Jeremy LauzonBlues
Joel BrodaBlues
Joey HaddadBlues
Jonas AhnelovBlues
Josh HolmstromBlues
Julien NantelBlues
Justin CrandallBlues
Keegan KolesarBlues
Kevin LalibertéBlues
Kyle JeanBlues
Marc-Olivier VallerandBlues
Marco CousineauBlues
Mark CundariBlues
Mathieu AubinBlues
Mathieu Corbeil-TheriaultBlues
Mathieu SevignyBlues
Mathieu TousignantBlues
Matt DeblouwBlues
Mike CornellBlues
Mitchell WheatonBlues
Nathan MoonBlues
Nicholas RiouxBlues
Nick DrazenovicBlues
Nick LuukkoBlues
Nick McbrideBlues
Nicklas LasuBlues
Otto SomppiBlues
Rasmus RissanenBlues
Sacha GuimondBlues
Scott HannanBlues
Sebastian RepoBlues
Simon BourqueBlues
Simon GagneBlues
Simon HjalmarssonBlues
Stephan VigierBlues
Steve SpinellBlues
Steven DelisleBlues
Steven SeigoBlues
Steven ShamanskiBlues
Stuart SkinnerBlues
Thomas LarkinBlues
Ty RimmerBlues
Tyler GronBlues
Vincent ArseneauBlues

Draft Picks

Year R1R2R3R4R5R6R7R8
21STL STL STL TOR STL CGY STL STL
22STL STL STL STL STL STL STL STL
23STL STL STL STL STL STL STL STL
24STL STL STL STL STL STL STL STL






[2018-04-26 17:32:08] 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.
[2018-04-26 17:32:03] Game 1267 - Vladimir Tarasenko from Blues is injured (Right Hand) and is out for 4 days.
[2018-04-25 21:16:48] 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.
[2018-04-23 21:36:24] 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.
[2018-04-22 08:36:32] Laurent Dauphin from Wolves is back from Left Leg Injury.
[2018-04-21 07:32:41] 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.
[2018-04-21 07:32:29] Auto Lines Partial Function has been run for Wolves.
[2018-04-21 07:32:29] Wolves (Blues) lines errors : Normal line # 1 C is empty. Normal line # 4 LW is empty. PP line1 C is empty. PK line 1 LW is empty. 4 vs 4 line 1 LW is empty. PK3 line 2 RW is empty. Penalty Shot Player #2 is empty.
[2018-04-21 07:32:29] Auto Roster Partial Function has been run for Blues.
[2018-04-21 07:32:29] Wolves roster errors : Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-21 07:32:27] Successfully loaded Blues lines done with STHS Client - 3.1.3.0
[2018-04-19 17:24:10] Auto Lines Partial Function has been run for Wolves.
[2018-04-19 17:24:10] Wolves (Blues) lines errors : Normal line # 1 C is empty. Normal line # 2 LW is empty. Normal line # 4 LW is empty. Unknown Player is used twice in Normal lines 1 and 2. PP line1 C is empty. PK line 1 LW is empty. 4 vs 4 line 1 LW is empty. PK3 line 2 RW is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. Penalty Shot Player #1 is empty. Penalty Shot Player #2 is empty. Unknown Player is used twice in Extra Penalty Shot
[2018-04-19 17:24:10] Auto Lines Partial Function has been run for Blues.
[2018-04-19 17:24:10] Blues lines errors : Normal line # 3 C is empty. PP line 2 C is empty. 4 vs 4 line 2 LW is empty. Penalty Shot Player #5 is empty.
[2018-04-19 17:24:10] Auto Roster Partial Function has been run for Blues.
[2018-04-19 17:24:10] Wolves roster errors : Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-19 17:24:10] Blues roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-19 17:24:07] Ryan Hamilton from Wolves is back from Upper Body Injury.
[2018-04-18 16:36:24] Game 1215 - Ryan Hamilton from Wolves is injured (Upper Body) and is out for 4 days.
[2018-04-17 16:42:15] Auto Lines Partial Function has been run for Wolves.
[2018-04-17 16:42:15] Wolves (Blues) lines errors : Normal line # 1 C is empty. Normal line # 4 LW is empty. PP line1 C is empty. PK line 1 LW is empty. 4 vs 4 line 1 LW is empty. PK3 line 2 RW is empty. Penalty Shot Player #2 is empty.
[2018-04-17 16:42:15] Auto Lines Partial Function has been run for Blues.
[2018-04-17 16:42:15] Blues lines errors : Normal line # 3 C is empty. PP line 2 C is empty. 4 vs 4 line 2 LW is empty. Penalty Shot Player #5 is empty.
[2018-04-17 16:42:15] Auto Roster Partial Function has been run for Blues.
[2018-04-17 16:42:15] Wolves roster errors : Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-17 16:42:15] Blues roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-17 16:41:59] Boone Jenner from Blues is back from Bruised Left Leg Injury.
[2018-04-17 16:41:58] Game 1205 - Laurent Dauphin from Wolves is injured (Left Leg) and is out for 1 week.
[2018-04-17 16:41:58] Vladimir Tarasenko from Blues has scored a Hat Trick!
[2018-04-17 16:41:58] Game 1205 - Boone Jenner from Blues is injured (Bruised Left Leg) and is out for 3 days.
[2018-04-14 21:59:46] Successfully loaded Blues lines done with STHS Client - 3.1.3.0
[2018-04-13 22:30:56] Cam Atkinson from Blues is back from Bruised Left Shoulder Injury.
[2018-04-13 22:30:56] Blues lines for next game are empty. Current rosters/lines are not erased. But, Wolves lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2018-04-13 22:30:52] Game 1160 - Cam Atkinson from Blues is injured (Bruised Left Shoulder) and is out for 1 days.
[2018-04-13 22:30:29] Successfully loaded Blues lines done with STHS Client - 3.1.3.0



Vladimir Tarasenko is out for 0 days because of a Right Hand Injury.



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
LHS05824032011352812493241151901123131133-241251300012150116348028149777816898310582900885986101939278299857618022565822.66%1743480.46%6939184750.84%925185549.87%712140850.57%1756100718658291499756
LHS06823625035852672303741151301363130122841211202222137108297226742068702591108716253677689284363252887159014912755720.73%1602286.25%3979191251.20%958186751.31%678132051.36%1762986393617411537791
LHS0782392801383237198394119130125111491234120150013212310716782373826191363858020249377288381867247481043515362576123.74%1432582.52%3967186751.79%960191050.26%661129451.08%174096516987491542791
LHS08823128022136254219354119140104313811424411214012931161051162254401655525910377232583787919841106257678345514552274720.70%1463377.40%11034194453.19%1039204250.88%624121051.57%171594617507631556803
LHS098246230432425420351412390412214711037412314002021079314922544086623178818911283890398094046247983557317382896020.76%2133782.63%21174219153.58%1073206352.01%616117752.34%1806105116857481474737
LHS10823822064752352023341229012431128824411613052321231149762353666013440919119263278194188173254774745715642785720.50%1652783.64%51075203352.88%1098202254.30%616114553.80%176698616967511535793
LHS11823525033106235203324115140037210710074120110303412810325702353776123453838623253582088081971259682937914902785319.06%1683280.95%51011193952.14%1111204154.43%578112351.47%173296417677651509768
LHS1282362602341123921821412112022041231012241151400147116117-172239390629015010479182831872102390988272388549917013257824.00%2034975.86%41190218954.36%1131211453.50%619116053.36%1801104117617391442737
LHS13823625034592472044341219013341279334411516021251201119722474046514464928318280286498392481253785146217363054916.07%1913283.25%21151217252.99%993198350.08%598119450.08%1804104617297541462731
LHS148244270128024919158412016000501189523412411012301319635882494066556161988115276985392298236257686746116662816121.71%1953383.08%21122214552.31%983198049.65%621115953.58%1808105216997401453733
LHS158243200426723919346412090224411891274123110202312110219862394006390061917714263080191588962261186047515162454317.55%2113682.94%21018204349.83%991204548.46%566116348.67%175499917557521483750
LHS168231300321062262131341191302133114104104112170117311210936222638561117796569212449795759850107240970274517102573915.18%2763587.32%21360280148.55%1422283650.14%631126349.96%1978138620035941025510
LHS178637290208102582124643191600026127116114318130206413196357425844069813838382192664877829904120249366955616762244017.86%2254181.78%31551295752.45%1546296952.07%676131051.60%2079147020956191080535
LHS18814323032642411845740248011331268937411915021311159520862414206610585767115258988787580069234868152016782072914.01%2224281.08%31539278955.18%1377268651.27%629120452.24%1969139619315781021514
19823336021732252232411815021411171021541152100032108121-13882253946195576796116250081773991169236672266615512142712.62%2294182.10%21521282353.88%1485282452.58%659122953.62%2015143419345791022513
Total Regular Season12335683990403710584368731425456162901890192254421849154930061727821002115514218381593245115836876090977733481000132412182563975112490135261333010973804512110784924310391875919.37%292151982.23%45176313365252.39%170923323751.42%94841835951.66%274911673629309117072064710469
Playoff
LHS059540000028226431000001385523000001514110285179006101203251001091097291868916630310.00%24387.50%110722347.98%12623354.08%7713557.04%194111205991416682
LHS061367000003435-17430000015150624000001920-1123458920091681427127134155114161148024342511.90%21290.48%016129854.03%16731852.52%9118848.40%27815042041861250131
LHS0713760000036288725000001416-26510000022121014366410000121212037412113597214001489922719315.79%31680.65%114529149.83%14030046.67%10719056.32%267141293129254127
LHS08514000001419-52020000058-331200000911-221425390031010158366458017153508812325.00%13284.62%06613349.62%6614047.14%378245.12%10258108468843
LHS09514000001317-4312000009812020000049-5213213400454018357536310176573312117211.76%5180.00%08615854.43%7412857.81%367945.57%11868105469548
LHS101899000004845397200000281810927000002027-718488112911131916055215517720713494195107340591627.12%451371.11%123643454.38%21642351.06%13726152.49%402225374174352177
LHS111275000002923674300000161515320000013851429507901791303631041281310391124482023538.57%20480.00%017231055.48%15930152.82%7616845.24%254145251106213112
LHS12624000001518-33120000057-2312000001011-141526410043801818535610188722213022418.18%11190.91%09016454.88%7512958.14%447757.14%128721225310855
LHS131376000003638-2725000002026-665100000161241436609600101790443147156131944216414824148816.67%40392.50%014531845.60%16534647.69%10119551.79%275155292120231116
LHS14624000001718-1312000009903120000089-1417294600310402165985720181564112321419.05%18477.78%09418750.27%6813550.37%347843.59%132781245510349
LHS152416800000615381394000003426811740000027270326110016112132222480021727827530771274130440731926.03%60886.67%127756748.85%30460949.92%15231148.87%516294521226439218
LHS1624159000006757101165000003430413940000033276306712619302292014480726626425126696211172493832631.33%801778.75%150398051.33%40383648.21%15836543.29%589409582174304154
LHS177340000020182312000007524220000013130620385800839017669575001986495139391128.21%28389.29%011324346.50%11423748.10%4210241.18%159108174518641
LHS181257000003238-66420000018162615000001422-810325991101111913611081081182735111413031642511.90%561475.00%120742648.59%22043950.11%10517858.99%3022093119215779
Total Playoff167868100000450429218545400000022720720824141000002232221172450788123836132167141105366165117831778154516617321244326954211220.66%4528182.08%62402473250.76%2297457450.22%1197240949.69%372222309528405228521438