Wild

GP: 82 | W: 53 | L: 22 | OTL: 7 | P: 113
GF: 277 | GA: 217 | PP%: 16.59% | PK%: 84.51%
GM : Charles-Étienne Paquette | Morale : 86 | 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
1Tyler Seguin (A)XXX100.005914958874969589848477697558677574760
2Henrik Zetterberg (C)XXX100.005814968271979983828470696287806183740
3Eric StaalXX100.005618927679939977817974776278665484720
4Alexander SteenXXX100.005425897876989379678273807177707184720
5Mark StoneX100.005720957777949378368275796657638484710
6Mika ZibanejadXXX98.616017947881898878817671727054588476710
7Gustav NyquistXXX100.005713958166889682338069676863607883700
8Teuvo TeravainenXXX100.005011987463839175667266665450538484660
9Cody EakinXX100.006134886869888868826863725057517084660
10Matt CalvertXX100.006334876668798666296566735162527484640
11Devante Smith-PellyXX100.006917946679748466426462654955497783630
12Drew MillerXXX100.006215975969698459325859684674506582610
13Justin FaulkX100.007018917779969378307479765656598182730
14Duncan Keith (A)X100.005014977470999575308069795679686583710
15Anton StralmanX100.006613946968929469307168775070567084690
16Colton ParaykoX100.006219936885859768307465765053538384690
17Dan HamhuisX100.006425916476849164306960724680574784670
18Luca SbisaX100.007031886277799562306460704559487176650
Scratches
1Brian CampbellX100.005414956968869869307064694887624119670
TEAM AVERAGE99.93601993727388937349736872576659707969
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
1Martin Jones (R)100.00919689849191918890878565745980850
2Keith Kinkaid100.00776970807774757274767161515280720
Scratches
TEAM AVERAGE100.0084838082848383808282786363568079
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Cameron90778980818850CAN5811,800,000$


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
1Tyler SeguinWildC/LW/RW82365187292001182213001012.00%15173221.131151640203000044154.71%213300001.0059000784
2Mark StoneWildRW8234528626135921332571213.23%21166720.33791629205000017532.76%11600001.0300001483
3Alexander SteenWildC/LW/RW8229406917215941432600211.15%16167820.47461042202000025245.16%12400010.8229100628
4Duncan KeithWildD821445592612038881060113.21%105198824.245611401960113123400.00%000000.5900000241
5Mika ZibanejadWildC/LW/RW812929586260801442430511.93%15142117.551674515620251236555.92%129300000.8215000536
6Gustav NyquistWildC/LW/RW82183856128071125188019.57%4142517.3933635160000004036.73%9800000.7902000337
7Henrik ZetterbergWildC/LW/RW82262854-3220901782180311.93%3153418.71448311590002294156.27%174700000.7001000296
8Eric StaalWildC/RW821735522100108126261016.51%17152018.5406625162000003148.91%13700200.6800000430
9Justin FaulkWildD8112334521400170761111010.81%96191223.617714361800220108300.00%000000.4700000423
10Teuvo TeravainenWildC/LW/RW827263310602277137015.11%10108013.1800004000082042.19%32000000.6100000011
11Matt CalvertWildC/LW8211193011280139551090210.09%15118214.430000000021262024.42%8600000.5100000222
12Brian CampbellWildD5852126-161151857410012.20%70121020.872241069000175000.00%000000.4300001104
13Anton StralmanWildD8281826530013570730010.96%92177121.60426341660000108300.00%000000.2900000111
14Colton ParaykoWildD822232512240885441014.88%91163219.900115310111115010.00%000000.3100000103
15Dan HamhuisWildD8261622153007335550110.91%59125615.3200007011012100.00%000000.3500000102
16Luca SbisaWildD7141620192809222300013.33%59107615.1700000000033000.00%000000.3700000001
17Cody EakinWildC/LW8296159953454512317.65%135446.640000310121021056.46%62700000.5500001002
18Devante Smith-PellyWildLW/RW7954971004123451011.11%04145.240000000000008.70%2300000.4300000001
19Drew MillerWildC/LW/RW795278201718270018.52%45126.49000000002990040.00%2500000.2700000001
20Connor BrownWild (MIN)RW4011000010000.00%0205.040000000001000.00%500000.9900000000
21Noah HanifinWild (MIN)D3000-100211000.00%13612.070000000000000.00%000000.0000000000
Team Total or Average15222775037802153502015221701255462310.85%7062561816.8338671053721910358181077491653.34%673400210.61826103434656
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
1Martin JonesWild72432170.9072.5342406517919160210.731267012642
2Keith KinkaidWild1510100.9042.6173600323330000.00001270100
Team Total or Average87532270.9062.5449766521122490210.731268282742


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
Alexander Steen (1 Way Contract)WildC/LW/RW331984-12-31No211 Lbs6 ft0NoNoYes3UFAPro & Farm7,450,000$7,450,000$7,450,000$0$No7,450,000$7,450,000$NHL Link
Anton Stralman (1 Way Contract)WildD311986-12-31No190 Lbs5 ft11NoNoYes3UFAPro & Farm3,400,000$3,400,000$3,400,000$0$No3,400,000$3,400,000$NHL Link
Brian CampbellWildD381979-12-31No192 Lbs5 ft10NoNoYes1UFAPro & Farm4,740,000$4,740,000$0$NoNHL Link
Cody Eakin (1 Way Contract)WildC/LW261991-12-31 09:10:27No190 Lbs6 ft0NoNoYes1RFAPro & Farm1,969,000$1,969,000$1,969,000$0$NoNHL Link
Colton ParaykoWildD241993-12-31No226 Lbs6 ft6NoNoYes2RFAPro & Farm925,000$925,000$925,000$0$No925,000$NHL Link
Dan HamhuisWildD351982-12-31No200 Lbs6 ft1NoNoYes1UFAPro & Farm3,250,000$3,250,000$3,250,000$0$NoNHL Link
Devante Smith-Pelly (1 Way Contract)WildLW/RW251992-12-31No214 Lbs6 ft0NoNoYes2RFAPro & Farm1,110,000$1,110,000$1,110,000$0$No1,110,000$NHL Link
Drew Miller (1 Way Contract)WildC/LW/RW331984-12-31No183 Lbs6 ft2NoNoYes2UFAPro & Farm1,750,000$1,750,000$1,750,000$0$No1,750,000$NHL Link
Duncan Keith (1 Way Contract)WildD341983-12-31No192 Lbs6 ft1NoNoYes5UFAPro & Farm5,738,000$5,738,000$5,738,000$0$No5,738,000$5,738,000$5,738,000$5,738,000$NHL Link
Eric StaalWildC/RW331984-12-31No208 Lbs6 ft4NoNoYes1UFAPro & Farm5,850,000$5,850,000$5,850,000$0$NoNHL Link
Gustav Nyquist (1 Way Contract)WildC/LW/RW281989-12-31No184 Lbs5 ft11NoNoYes4UFAPro & Farm4,230,000$4,230,000$4,230,000$0$No4,230,000$4,230,000$4,230,000$NHL Link
Henrik ZetterbergWildC/LW/RW371980-12-31No197 Lbs6 ft0NoNoYes2UFAPro & Farm7,750,000$7,750,000$7,750,000$0$No7,750,000$NHL Link
Justin FaulkWildD251992-12-31No215 Lbs6 ft0NoNoYes2RFAPro & Farm4,150,000$4,150,000$4,150,000$0$No4,150,000$NHL Link
Keith Kinkaid (1 Way Contract)WildG281989-12-31 06:22:16No190 Lbs6 ft2NoNoYes3UFAPro & Farm1,265,000$1,265,000$1,265,000$0$No1,265,000$1,265,000$NHL Link
Luca Sbisa (1 Way Contract)WildD271990-12-31No209 Lbs6 ft2NoNoYes1RFAPro & Farm1,720,000$1,720,000$1,720,000$0$NoNHL Link
Mark Stone (1 Way Contract)WildRW251992-12-31 08:35:02No206 Lbs6 ft3NoNoYes1RFAPro & Farm4,880,000$4,880,000$4,880,000$0$NoNHL Link
Martin Jones (1 Way Contract)WildG271990-12-31 09:46:59Yes187 Lbs6 ft4NoNoNo1RFAPro & Farm3,420,000$3,420,000$3,420,000$0$NoNHL Link
Matt Calvert (1 Way Contract)WildC/LW281989-12-31 15:30:27No188 Lbs5 ft11NoNoYes2UFAPro & Farm1,300,000$1,300,000$1,300,000$0$No1,300,000$NHL Link
Mika ZibanejadWildC/LW/RW241993-12-31No215 Lbs6 ft2NoNoYes1RFAPro & Farm3,375,000$3,375,000$3,375,000$0$NoNHL Link
Teuvo TeravainenWildC/LW/RW231994-12-31No178 Lbs5 ft11NoNoYes1ELCPro & Farm925,000$500,000$925,000$0$NoNHL Link
Tyler Seguin (1 Way Contract)WildC/LW/RW251992-12-31 10:19:14No200 Lbs6 ft1NoNoYes2RFAPro & Farm6,767,000$6,767,000$6,767,000$0$No6,767,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2129.00199 Lbs6 ft11.953,617,333$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
75,964,000$45,835,000$22,083,000$9,968,000$5,738,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mika ZibanejadTyler SeguinMark Stone35023
2Alexander SteenHenrik ZetterbergEric Staal31023
3Matt CalvertTeuvo TeravainenGustav Nyquist26032
4Drew MillerCody EakinDevante Smith-Pelly8041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin FaulkDuncan Keith38032
2Colton ParaykoAnton Stralman34032
3Luca SbisaDan Hamhuis28041
4Justin FaulkDuncan Keith0032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander SteenTyler SeguinMark Stone57005
2Eric StaalHenrik ZetterbergGustav Nyquist43005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin FaulkDuncan Keith57014
2Anton StralmanMika Zibanejad43014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadMatt Calvert53041
2Cody EakinDrew Miller47041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin FaulkDuncan Keith53050
2Colton ParaykoAnton Stralman47050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cody Eakin54050Justin FaulkDuncan Keith54050
2Mika Zibanejad46050Colton ParaykoAnton Stralman46050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tyler SeguinEric Staal52023
2Henrik ZetterbergAlexander Steen48023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Colton ParaykoDuncan Keith52041
2Justin FaulkAnton Stralman48041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Henrik ZetterbergTyler SeguinMika ZibanejadJustin FaulkDuncan Keith
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander SteenEric StaalMark StoneJustin FaulkDuncan Keith
Extra Forwards
Normal PowerPlayPenalty Kill
Mika Zibanejad, Gustav Nyquist, Cody EakinMika Zibanejad, Teuvo TeravainenHenrik Zetterberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Colton Parayko, Anton Stralman, Luca SbisaDan HamhuisColton Parayko, Luca Sbisa
Penalty Shots
Tyler Seguin, Alexander Steen, Mika Zibanejad, Gustav Nyquist, Mark Stone
Goalie
#1 : Martin Jones, #2 : Keith Kinkaid


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
1Avalanche4100100214140200010016602100000188060.750142438005441123374340911133229016318.75%9188.89%01501280553.51%1363264851.47%728128156.83%1087792285227
2Blackhawks53001100181352200000085331001100108290.9001833510085411555158451141472410820525.00%10280.00%01501280553.51%1363264851.47%728128156.83%13194109336231
3Blue Jackets21001000835110000004041000100043141.0008142201151149151716139171235200.00%60100.00%01501280553.51%1363264851.47%728128156.83%463248132512
4Blues421001001192211000004402100010075250.625112233014520105383729111329228913215.38%100100.00%01501280553.51%1363264851.47%728128156.83%936597275025
5Bruins22000000734110000003211100000041341.0007121900322050122315057131340200.00%4175.00%01501280553.51%1363264851.47%728128156.83%473548142311
6Canadiens21000001660110000003211000000134-130.750611170032116023241345014223600.00%10100.00%01501280553.51%1363264851.47%728128156.83%533944132613
7Canucks3020001079-22010001056-11010000023-120.333711180040218030252438126268400.00%110.00%01501280553.51%1363264851.47%728128156.83%785567203920
8Capitals210010001385100010005411100000084441.00013223500453167252316362192258225.00%000.00%01501280553.51%1363264851.47%728128156.83%544040132614
9Coyotes31200000711-41010000004-42110000077020.33371320011240952932340861917468225.00%6183.33%01501280553.51%1363264851.47%728128156.83%745471193316
10Devils20000011660100000103211000000134-130.750681400131273271723126017039200.00%000.00%01501280553.51%1363264851.47%728128156.83%544150132512
11Ducks31200000101001010000035-22110000075220.333101626004330932837280104241254700.00%4175.00%11501280553.51%1363264851.47%728128156.83%705074203517
12Flames320000011477210000019631100000051450.8331425390043709127273551013610452150.00%40100.00%01501280553.51%1363264851.47%728128156.83%725274213719
13Flyers211000009811010000045-11100000053220.5009132200531055222013066121221200.00%5180.00%01501280553.51%1363264851.47%728128156.83%473247142513
14Golden Knights320010001578210010009541100000062461.00015284300743112242413816014856600.00%30100.00%01501280553.51%1363264851.47%728128156.83%927051173620
15Hurricanes21100000660110000004221010000024-220.500612181015006018182403776412150.00%220.00%11501280553.51%1363264851.47%728128156.83%503643142512
16Islanders22000000752110000003211100000043141.0007132000214060202317047146254125.00%2150.00%01501280553.51%1363264851.47%728128156.83%483547132311
17Jets43100000166102200000011382110000053260.750162642011312011544254607726249117211.76%9277.78%01501280553.51%1363264851.47%728128156.83%1007088285126
18Kings330000001055110000002112200000084461.00010172700253088233134072392459222.22%10100.00%01501280553.51%1363264851.47%728128156.83%755467193718
19Lightning2010100057-21010000025-31000100032120.5005914002021812922264601810385240.00%4175.00%01501280553.51%1363264851.47%728128156.83%523747132512
20Maple Leafs21000010752100000102111100000054141.000711180022226013242056116640300.00%30100.00%01501280553.51%1363264851.47%728128156.83%483551152512
21Oilers330000001046220000008351100000021161.00010203000343083272135081221249500.00%50100.00%11501280553.51%1363264851.47%728128156.83%704871203719
22Panthers211000001174110000008351010000034-120.5001119300044309329352904518439300.00%2150.00%01501280553.51%1363264851.47%728128156.83%604533112514
23Penguins2020000015-41010000003-31010000012-100.0001230000107734202305414834800.00%40100.00%01501280553.51%1363264851.47%728128156.83%554140132412
24Predators541000001495321000008712200000062480.800142640007340159555351012235308918633.33%13192.31%01501280553.51%1363264851.47%728128156.83%13597101346332
25Rangers21100000981110000005231010000046-220.500915240016204882218066154305120.00%2150.00%01501280553.51%1363264851.47%728128156.83%453149142512
26Red Wings21000010853110000004221000001043141.000813210014224910201937622636200.00%3166.67%01501280553.51%1363264851.47%728128156.83%513748132512
27Sabres21100000660110000002111010000045-120.5006121800213062232118059160434125.00%000.00%01501280553.51%1363264851.47%728128156.83%513641122715
28Senators21001000743100010004311100000031241.000711180023117021242324686302150.00%20100.00%01501280553.51%1363264851.47%728128156.83%564140132513
29Sharks3120000079-21010000013-22110000066020.33371320004210742623250832114429111.11%7185.71%01501280553.51%1363264851.47%728128156.83%715172223517
30Stars41300000812-4211000004312020000049-520.25081321015210122434138013337519823313.04%20385.00%01501280553.51%1363264851.47%728128156.83%1017190284723
Total8242220724527721760412210040321341003441201203213143117261130.68927748476115105897215251982984781554225064834715092173616.59%1422284.51%31501280553.51%1363264851.47%728128156.83%2102151518535621026527
_Since Last GM Reset8242220724527721760412210040321341003441201203213143117261130.68927748476115105897215251982984781554225064834715092173616.59%1422284.51%31501280553.51%1363264851.47%728128156.83%2102151518535621026527
_Vs Conference502714032131611253625137020127861172514701201836419670.67016128744804714343415055004945022013654082509701572717.20%1021387.25%21501280553.51%1363264851.47%728128156.83%12769141131344621318
_Vs Division261460220281631813830100141281313630120140355360.69281144225034220172779268257249116972071735651072119.63%71987.32%01501280553.51%1363264851.47%728128156.83%669476580181327168

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82113L127748476125192250648347150915
All Games
GPWLOTWOTL SOWSOLGFGA
8242227245277217
Home Games
GPWLOTWOTL SOWSOLGFGA
4122104032134100
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4120123213143117
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2173616.59%1422284.51%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
82984781554105897215
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1501280553.51%1363264851.47%728128156.83%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2102151518535621026527


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 - 2017-11-069Wild4Red Wings3WXXBoxScore
4 - 2017-11-0823Wild2Hurricanes4LBoxScore
9 - 2017-11-1354Wild4Blackhawks3WXBoxScore
11 - 2017-11-1570Blue Jackets0Wild4WBoxScore
17 - 2017-11-21108Wild2Jets3LBoxScore
18 - 2017-11-22120Wild5Flames1WBoxScore
21 - 2017-11-25133Canucks2Wild3WXXBoxScore
23 - 2017-11-27146Islanders2Wild3WBoxScore
25 - 2017-11-29164Penguins3Wild0LBoxScore
28 - 2017-12-02180Jets2Wild4WBoxScore
30 - 2017-12-04192Canadiens2Wild3WBoxScore
32 - 2017-12-06208Blackhawks3Wild4WBoxScore
34 - 2017-12-08217Wild4Bruins1WBoxScore
36 - 2017-12-10232Wild5Maple Leafs4WBoxScore
37 - 2017-12-11237Wild3Canadiens4LXXBoxScore
39 - 2017-12-13255Wild5Flyers3WBoxScore
42 - 2017-12-16271Flyers5Wild4LBoxScore
44 - 2017-12-18283Predators3Wild1LBoxScore
46 - 2017-12-20301Wild8Capitals4WBoxScore
48 - 2017-12-22314Devils2Wild3WXXBoxScore
50 - 2017-12-24319Wild4Sabres5LBoxScore
52 - 2017-12-26336Avalanche3Wild4WXBoxScore
53 - 2017-12-27355Wild3Blues0WBoxScore
55 - 2017-12-29365Wild3Jets0WBoxScore
58 - 2018-01-01384Golden Knights2Wild3WXBoxScore
60 - 2018-01-03397Blues2Wild1LBoxScore
63 - 2018-01-06425Wild4Kings2WBoxScore
66 - 2018-01-09443Wild4Ducks1WBoxScore
68 - 2018-01-11459Wild4Sharks3WBoxScore
70 - 2018-01-13472Flames2Wild6WBoxScore
72 - 2018-01-15484Maple Leafs1Wild2WXXBoxScore
74 - 2018-01-17496Oilers2Wild6WBoxScore
75 - 2018-01-18508Wild2Blackhawks3LXBoxScore
77 - 2018-01-20519Wild3Senators1WBoxScore
80 - 2018-01-23540Wild3Panthers4LBoxScore
81 - 2018-01-24546Wild3Lightning2WXBoxScore
85 - 2018-01-28564Stars3Wild2LR1BoxScore
87 - 2018-01-30581Predators2Wild4WBoxScore
88 - 2018-01-31591Wild4Predators1WBoxScore
91 - 2018-02-03608Panthers3Wild8WBoxScore
93 - 2018-02-05622Sabres1Wild2WBoxScore
95 - 2018-02-07639Wild3Avalanche2WBoxScore
98 - 2018-02-10659Flames4Wild3LXXBoxScore
99 - 2018-02-11661Wild4Blackhawks2WBoxScore
102 - 2018-02-14672Jets1Wild7WBoxScore
103 - 2018-02-15682Canucks4Wild2LBoxScore
109 - 2018-02-21719Lightning5Wild2LBoxScore
111 - 2018-02-23728Senators3Wild4WXBoxScore
114 - 2018-02-26748Wild1Penguins2LBoxScore
119 - 2018-03-03766Wild4Blue Jackets3WXBoxScore
122 - 2018-03-06791Golden Knights3Wild6WBoxScore
123 - 2018-03-07801Wild2Stars4LR1BoxScore
126 - 2018-03-10819Wild4Blues5LXBoxScore
128 - 2018-03-12832Coyotes4Wild0LBoxScore
130 - 2018-03-14850Blackhawks2Wild4WBoxScore
133 - 2018-03-17872Rangers2Wild5WBoxScore
135 - 2018-03-19885Capitals4Wild5WXBoxScore
137 - 2018-03-21895Ducks5Wild3LBoxScore
139 - 2018-03-23912Wild4Islanders3WBoxScore
142 - 2018-03-26931Wild3Devils4LXXBoxScore
143 - 2018-03-27941Wild4Rangers6LBoxScore
145 - 2018-03-29962Sharks3Wild1LBoxScore
147 - 2018-03-31973Blues2Wild3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2018-04-02988Wild3Coyotes7LBoxScore
150 - 2018-04-03996Wild5Avalanche6LXXBoxScore
152 - 2018-04-051012Red Wings2Wild4WBoxScore
154 - 2018-04-071025Hurricanes2Wild4WBoxScore
157 - 2018-04-101047Wild2Canucks3LBoxScore
158 - 2018-04-111058Wild2Oilers1WBoxScore
161 - 2018-04-141075Avalanche3Wild2LXXBoxScore
164 - 2018-04-171097Wild6Golden Knights2WBoxScore
165 - 2018-04-181106Wild4Coyotes0WBoxScore
167 - 2018-04-201119Kings1Wild2WBoxScore
172 - 2018-04-251161Predators2Wild3WBoxScore
173 - 2018-04-261166Bruins2Wild3WBoxScore
175 - 2018-04-281182Wild2Predators1WBoxScore
177 - 2018-04-301194Stars0Wild2WR1BoxScore
179 - 2018-05-021214Wild2Stars5LBoxScore
181 - 2018-05-041227Oilers1Wild2WBoxScore
183 - 2018-05-061240Wild3Ducks4LBoxScore
184 - 2018-05-071251Wild4Kings2WBoxScore
186 - 2018-05-091271Wild2Sharks3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity70004000400020001000
Ticket Price107634430201
Attendance232,477152,788145,57175,86235,775
Attendance PCT81.00%93.16%88.76%92.51%87.26%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 15670 - 87.06% 1,581,226$64,830,257$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
74,308,979$ 75,964,000$ 70,799,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
408,409$ 72,509,053$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 418,086$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 72,509,053$ 4,226,064$ 4,226,064$



Depth Chart

Left WingCenterRight Wing
Tyler SeguinAGE:25PO:75OV:76
Henrik ZetterbergAGE:37PO:61OV:74
Alexander SteenAGE:33PO:71OV:72
Mika ZibanejadAGE:24PO:84OV:71
Gustav NyquistAGE:28PO:78OV:70
Teuvo TeravainenAGE:23PO:84OV:66
Cody EakinAGE:26PO:70OV:66
Matt CalvertAGE:28PO:74OV:64
Devante Smith-PellyAGE:25PO:77OV:63
Drew MillerAGE:33PO:65OV:61
*Kyle ConnorAGE:21PO:78OV:58
Mason RaymondAGE:32PO:34OV:56
*Andrew MangiapaneAGE:21PO:74OV:55
Brian GibbonsAGE:29PO:66OV:54
Rod PelleyAGE:33PO:39OV:51
*Braden ChristofferAGE:23PO:44OV:48
Shawn O'DonnellAGE:29PO:30OV:46
*Alex HutchingsAGE:27PO:40OV:40
Kael MouillieratAGE:30PO:40OV:40
*Zach FrankoAGE:24PO:40OV:40
Tyler SeguinAGE:25PO:75OV:76
Henrik ZetterbergAGE:37PO:61OV:74
Alexander SteenAGE:33PO:71OV:72
Eric StaalAGE:33PO:54OV:72
Mika ZibanejadAGE:24PO:84OV:71
Gustav NyquistAGE:28PO:78OV:70
Teuvo TeravainenAGE:23PO:84OV:66
Cody EakinAGE:26PO:70OV:66
Matt CalvertAGE:28PO:74OV:64
Drew MillerAGE:33PO:65OV:61
Jim O'BrienAGE:28PO:64OV:57
Brian GibbonsAGE:29PO:66OV:54
Pascal PelletierAGE:34PO:35OV:54
Rod PelleyAGE:33PO:39OV:51
*Mikkel AagaardAGE:22PO:71OV:50
*Cody AlmondAGE:28PO:40OV:40
Tyler SeguinAGE:25PO:75OV:76
Henrik ZetterbergAGE:37PO:61OV:74
Alexander SteenAGE:33PO:71OV:72
Eric StaalAGE:33PO:54OV:72
Mark StoneAGE:25PO:84OV:71
Mika ZibanejadAGE:24PO:84OV:71
Gustav NyquistAGE:28PO:78OV:70
Teuvo TeravainenAGE:23PO:84OV:66
*Connor BrownAGE:23PO:71OV:65
*Josh AndersonAGE:23PO:79OV:64
Devante Smith-PellyAGE:25PO:77OV:63
Drew MillerAGE:33PO:65OV:61
*Seth GriffithAGE:24PO:62OV:61
Paul ThompsonAGE:29PO:67OV:58
Jim O'BrienAGE:28PO:64OV:57
Mason RaymondAGE:32PO:34OV:56
Brian GibbonsAGE:29PO:66OV:54
Shawn O'DonnellAGE:29PO:30OV:46

Defense #1Defense #2Goalie
Justin FaulkAGE:25PO:81OV:73
Duncan KeithAGE:34PO:65OV:71
Colton ParaykoAGE:24PO:83OV:69
Anton StralmanAGE:31PO:70OV:69
Dan HamhuisAGE:35PO:47OV:67
Brian CampbellAGE:38PO:41OV:67
Luca SbisaAGE:27PO:71OV:65
*Noah HanifinAGE:20PO:88OV:64
*Adam PelechAGE:23PO:72OV:62
Zach RedmondAGE:29PO:71OV:60
Justin FalkAGE:29PO:68OV:60
*Gustav ForslingAGE:21PO:76OV:58
*Seth HelgesonAGE:27PO:55OV:58
*Jamie DoornboschAGE:27PO:56OV:48
*Gianluca CurcurutoAGE:23PO:40OV:40
Teemu LaaksoAGE:30PO:40OV:40
*Martin JonesAGE:27PO:59OV:85
Keith KinkaidAGE:28PO:52OV:72
*Magnus HellbergAGE:26PO:59OV:63
*Jean-Francois BerubeAGE:26PO:59OV:62
Dustin TokarskiAGE:28PO:50OV:58
*Martin OuelletteAGE:26PO:56OV: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
Aleksi SaarelaWild
Alexander NylanderWild
Alexandre CarrierWild
Alexandre GouletWild
Anthony NigroWild
Antoine MorandWild
Arturs KuldaWild
Blake SiebenalerWild
Brad MorrisonWild
Brady LambWild
Brady VailWild
Brendan GuhleWild
Bretton StamlerWild
Brian CooperWild
Brodie DupontWild
Brodie MelnychukWild
Caleb JonesWild
Chris LangkowWild
Christian DjoosWild
Collin BowmanWild
Connor HobbsWild
David KaseWild
Ethan BearWild
Glenn GawdinWild
Guillaume DesbiensWild
Hunter FejesWild
Iakov TreninWild
Jarret TyszkaWild
Joel VienneauWild
Joey LeachWild
Josh RobinsonWild
Julien PelletierWild
Kailer YamamotoWild
Kevin LindWild
Kirill KaprizovWild
Kole LindWild
Louis-Marc AubryWild
Mark McNeillWild
Matiss KivlenieksWild
Matt O'ConnorWild
Matt PelechWild
Mike McKeeWild
Mitchell MorozWild
Nicolas DeschampsWild
Philip LaneWild
Robin KovacsWild
Ryan DonatoWild
Ryan StoaWild
Seamus MaloneWild
Shane McColganWild
Spencer FooWild
Stephen SilasWild
Thomas SchemitschWild
Tomas KopeckyWild
Travis EhrhardtWild
Travis EwanykWild
Trevor CannWild
Vaclav KarabacekWild
Vladimir TkachevWild
Yann SauveWild
Zack LeslieWild

Draft Picks

Year R1R2R3R4R5R6R7R8
20MIN MIN WPG MIN BOS TOR COL MIN ANA DET DET FLA WPG MIN NJD
21MIN MIN MIN MIN MIN MIN MIN MIN
22MIN MIN MIN MIN MIN MIN MIN MIN
23MIN MIN MIN MIN MIN MIN MIN MIN
24MIN MIN MIN MIN MIN MIN MIN MIN






[2018-04-26 17:32:08] Tyler Seguin from Wild is back from Back Injury.
[2018-04-26 17:32:08] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-04-26 17:32:08] Connor Brown from Wild has scored a Hat Trick!
[2018-04-26 17:32:07] Game 1271 - Tyler Seguin from Wild is injured (Back) and is out for the game.
[2018-04-24 21:54:06] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-04-24 21:54:05] Connor Brown from Wild has scored a Hat Trick!
[2018-04-24 21:50:43] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[2018-04-23 21:36:30] Auto Lines Partial Function has been run for Wild.
[2018-04-23 21:36:30] Wild lines errors : Normal line # 1 LW is empty. Normal line # 4 LW is empty. PK line 1 C is empty. PP line 2 Defense #2 is empty. PK line 2 LW is empty. PK3 line 2 forward is empty. LastMinOff line RW is empty. Extra Forward #1 is empty. Penalty Shot Player #3 is empty. Extra Forward #4 is empty.
[2018-04-23 21:36:30] Auto Roster Partial Function has been run for Wild.
[2018-04-23 21:36:30] Wild roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-23 21:36:24] Mika Zibanejad from Wild is back from Strained Left Elbow Injury.
[2018-04-23 21:36:24] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-04-22 08:36:42] Auto Lines Partial Function has been run for Wild.
[2018-04-22 08:36:42] Wild lines errors : Normal line # 1 LW is empty. PK line 1 C is empty. PP line 2 Defense #2 is empty. PK3 line 2 forward is empty. LastMinOff line RW is empty. Extra Forward #1 is empty. Penalty Shot Player #3 is empty. Extra Forward #4 is empty.
[2018-04-22 08:36:42] Auto Roster Partial Function has been run for Wild.
[2018-04-22 08:36:42] Wild roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-04-21 07:32:41] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-04-21 07:32:39] Game 1227 - Mika Zibanejad from Wild is injured (Strained Left Elbow) and is out for 5 days.
[2018-04-19 17:24:07] Last 30 Days Farm Star : 1 - Jakub Vrana of Barracuda (8-17-25) / 2 - Connor Brown of Wild (8-16-24) / 3 - Vladislav Namestnikov of Stars (11-9-20)
[2018-04-18 16:36:26] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-04-16 17:56:36] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2018-04-16 17:48:52] Successfully loaded Wild lines done with STHS Client - 3.1.2.2
[2018-04-14 22:00:05] Both Wild and Wild lines for next game are empty. Current rosters/lines are not erased.
[2018-04-13 22:31:07] Both Wild and Wild lines for next game are empty. Current rosters/lines are not erased.
[2018-04-13 22:30:56] Wild lines for next game are empty. Current rosters/lines are not erased. But, Wild 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
LHS0582244701145217301-8441142101122103144-4141102600023114157-434821737459113597479722817517537584527311037142117202415121.16%3277776.45%8808163349.48%887186247.64%685142548.07%162286219688761535736
LHS06823537003612622611411917001401431301341162000221119131-1270262433695017295898260484295380227251382589816442675420.22%2897175.43%9957193749.41%973198149.12%651138447.04%1720975389017271493728
LHS0782353500282206205141201700040118104144115180024288101-13702063215272148836717249875786686259242979585316362324218.10%2835281.63%4919186949.17%926187449.41%677130052.08%173597917217751516735
LHS0882293402188222231-941141402146117120-341152000042105111-6582223605821471687320266286388788780262893756416202234620.63%1903382.63%31043203251.33%1021205549.68%631119652.76%1785104317487471469727
LHS0982372502666245220254121100134212910425411615013241161160742453926373267809015259884286987462250185548916142715419.93%1763679.55%11103205653.65%997187853.09%575116749.27%1790103617097491496754
LHS10823223034101022820523411510022661179423411713012441111110642283675951257817719271386495887380248979344816932814817.08%1683877.38%21014207548.87%965191450.42%580112551.56%1856108216627541517770
LHS1182363200347192189341191500232105987411717001158791-472192306498024870706251879289281853261390637016292845218.31%1652883.03%1996200749.63%976201648.41%559107252.15%1808105917307411444733
LHS12823623063311237211264122604234131914041141702107106120-14722373866236151928516259680894781971262985951516112784415.83%2144578.97%3962196049.08%1024202150.67%585116450.26%1800103617387581460738
LHS1382352800487243232114118140043213212111411714000551111110702433796224170897615255281283788963269084247316182836021.20%2013980.60%21015202050.25%1006206348.76%582119748.62%1781102417647481453730
LHS148234280321052272072041131802242105116-11412110010631229131682273595862353758620259685186686281257486842215302915017.18%1883183.51%51048208050.38%966191750.39%534110648.28%1827106617167441461740
LHS1582263701468199227-2841122100224100119-194114160124499108-9521993175162254657313265386086890174260987740716152474217.00%1813381.77%21065204452.10%1015193452.48%585113851.41%1849109817117221436727
LHS1682303503275192194-2411814021241019474112210115191100-96019234153331059685515244377979284271228169166715952252812.44%2563685.94%21432283350.55%1391268151.88%605117751.40%2046145219345781011505
LHS17863339011752372289431522000421191127431817011331181162662374336701981826614251876788684368243868149516902214018.10%1903880.00%11523294151.79%1545283754.46%703132952.90%2154153219835991086551
LHS188242210111252401885241231301040122923041198001851189622842404146541787766425253784984880099234569051715612384318.07%1612186.96%11489279453.29%1357263251.56%612120350.87%2099150318615741046534
1982422207245277217604122100403213410034412012032131431172611327748476115105897215251982984781554225064834715092173616.59%1422284.51%31501280553.51%1363264851.47%728128156.83%2102151518535621026527
Total Regular Season12345064660303910390342433161086172652220192152381776163913761724124401118515216481677-291041342456669090285398211871122225382881226613069126459873772012304888624285379969018.16%313160080.84%47168753308651.00%164123231350.79%92921826450.88%279821727128996116622045610242
Playoff
LHS071367000003242-106420000016151725000001627-1112325486008101044171531371121544514414228249714.29%451077.78%015930352.48%16534647.69%8919046.84%284162288120236118
LHS0911740000036333633000001917254100000171611436619710717102358105121119133561067923049612.24%23386.96%014829949.50%14026053.85%9216356.44%248140230102205104
LHS106240000014131312000007613120000077041423370024801676541583206764712524520.83%14378.57%16314144.68%7515349.02%428648.84%129741365510554
LHS1251400000612-63030000049-52110000023-126915001230158336164014456491091100.00%17382.35%06912356.10%6613150.38%266341.27%10862102458843
LHS1321138000006752151073000003222101165000003530526671041710015242536771972292429688208124435671217.91%581082.76%127552052.88%26151850.39%15531249.68%466269452198379188
LHS141495000003932775200000211657430000018162183964103011215120464159168136142512183263431023.26%31487.10%117035947.35%18232955.32%8919046.84%309178279126253127
LHS1818108000004542310730000028217835000001721-42045801250281816360017421918324510149151357631422.22%60985.00%034072247.09%29860049.67%11025642.97%469334431131228113
Total Playoff8848400000023922613452718000001271062143212200000112120-8962393956341353908412284188697691465277486067518013065417.65%2484283.06%31224246749.61%1187233750.79%603126047.86%2015122219227801497751