Wild

GP: 82 | W: 30 | L: 48 | OTL: 4 | P: 64
GF: 236 | GA: 329 | PP%: 13.90% | PK%: 76.33%
GM : Kevin Bourassa | Morale : 50 | Team Overall : 62

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
1Tyson JostX100.006539876970768567736864666963678650650
2Egor KorshkovX100.006746896489737562545863615967647650620
3Joe Veleno (R)X100.006345856277848759715556635862648050610
4Mackenzie MacEachernX100.008243786178807162545563576271686450610
5Phil VaroneX100.005837826269706864756361596478685350610
6Gemel SmithX100.005945876372787762696061596371665950610
7Nick BaptisteX100.006445885878838456625555605669656350600
8Adam BrooksX100.005741896267767561576060586367646150600
9Alexander ChmelevskiX100.005545876071797859636158565961636450590
10Johan Sodergran (R)X100.006944865485838253515252565461596450580
11Aleksi Heponiemi (R)X100.005139895855848356615553525961627650570
12Rasmus Kupari (R)X100.005642886374736259705157545860628450570
13Zach RedmondX100.006949886083868759306157604580725350650
14Chase Priskie (R)X100.005645886271868859306155584667646150620
15Rinat ValievX100.007252855886838156305553594569656350620
16Sebastien AhoX100.005246896668868764306354565067645450620
17Jeremy Davies (R)X100.005348836257878861305953524667645850590
Scratches
TEAM AVERAGE100.00624486617480806054585758566765665061
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
1Parker Milner100.00775250777675777675777678845650720
2Jakub Skarek (R)100.00676563836665676665676661656450650
Scratches
TEAM AVERAGE100.0072595780717072717072717075605069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Bouchard68696672716779CAN4641,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mackenzie MacEachernWild (Min)LW82583290-321223031418049815636911.65%91169620.692010301463670001427052.99%11700231.06113211175
2Phil VaroneWild (Min)C82522375-18892518427643511531811.95%89157719.24136191022920003443162.04%161500030.95031131037
3Adam BrooksWild (Min)C82451257-1863151312173288222313.72%62114914.015271239000009155.82%116800020.9901021165
4Sebastien AhoWild (Min)D8244044-87610817137182810.81%787739.430113500000000.00%000001.1411110032
5Steve BernierMinnesota WildRW332019391313554631893114010.58%4175722.9537104214000031283351.58%9500011.0322001543
6Victor MeteMinnesota WildD18217197321036424319274.65%2235319.660552455000037000.00%000001.0700110020
7Zach RedmondWild (Min)D1521517236062315414273.70%3436424.281563671000044000.00%000000.9300000012
8Jack RoslovicMinnesota WildC1022100084110.00%02626.4800006000020051.43%3500001.5100000000
9Vitaly AbramovMinnesota WildLW1000000045040.00%02525.0300023000000025.00%400000.0000000000
Team Total or Average396183160343-53431958628921593436113711.49%417672316.98423678367983000730022558.80%303400291.0248676272624
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
Team Total or Average0.0000.0000.000


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 Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam BrooksC241996-05-06No185 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Aleksi HeponiemiC221999-01-09Yes154 Lbs5 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Alexander ChmelevskiC211999-06-09No180 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Chase PriskieD241996-03-19Yes185 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoNHL Link
Egor KorshkovRW241996-07-10No214 Lbs6 ft4NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Gemel SmithC261994-04-16No196 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jakub SkarekG211999-11-10Yes196 Lbs6 ft3NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Jeremy DaviesD241996-12-04Yes180 Lbs5 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoNHL Link
Joe VelenoC212000-01-13Yes198 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Johan SodergranRW211999-11-20Yes205 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Mackenzie MacEachernLW261994-03-09No190 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nick BaptisteRW251995-08-04No203 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Parker MilnerG301990-09-06No196 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Phil VaroneC301990-12-04No193 Lbs5 ft10NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Rasmus KupariC202000-03-15Yes183 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Rinat ValievD251995-05-11No215 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Sebastien AhoD241996-02-17No177 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Tyson JostC221998-03-14No187 Lbs5 ft11NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Zach RedmondD321988-07-26No212 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1924.32192 Lbs6 ft02.89547,368$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mackenzie MacEachern40122
2Phil Varone30122
3Adam Brooks20122
4Phil Varone10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Sebastien Aho20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mackenzie MacEachern60122
2Phil Varone40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Phil VaroneMackenzie MacEachern40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Phil VaroneMackenzie MacEachern40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mackenzie MacEachern
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mackenzie MacEachern
Extra Forwards
Normal PowerPlayPenalty Kill
Adam Brooks, , Adam Brooks,
Extra Defensemen
Normal PowerPlayPenalty Kill
Sebastien Aho, , Sebastien Aho,
Penalty Shots
, , Phil Varone, Mackenzie MacEachern,
Goalie
#1 : , #2 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8264L123637561125333063879806145405
All Games
GPWLOTWOTL SOWSOLGFGA
8222485331236329
Home Games
GPWLOTWOTL SOWSOLGFGA
4110253120123165
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4112232211113164
Last 10 Games
WLOTWOTL SOWSOL
170101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4105713.90%3388076.33%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
880848783379487479
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1095243644.95%1107268841.18%557129443.04%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
169812252374570892402


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 - 2020-10-187Rampage2Wild4WBoxScore
4 - 2020-10-2134Wild4Heat3WBoxScore
5 - 2020-10-2237Wild4Thunderbirds3WXXBoxScore
6 - 2020-10-2354Stars2Wild3WXXBoxScore
7 - 2020-10-2458Wild2Thunderbirds1WXBoxScore
8 - 2020-10-2581Wild1Monsters3LBoxScore
9 - 2020-10-2693Roadrunners2Wild3WXBoxScore
13 - 2020-10-30115Marlies3Wild2LXBoxScore
15 - 2020-11-01134Checkers1Wild8WBoxScore
18 - 2020-11-04155Wild5IceHogs4WBoxScore
20 - 2020-11-06167Rocket2Wild0LBoxScore
22 - 2020-11-08188Wolves5Wild3LBoxScore
23 - 2020-11-09195Wild2Americans1WBoxScore
26 - 2020-11-12205Wild7Eagles1WBoxScore
28 - 2020-11-14220Wild4Admirals1WBoxScore
30 - 2020-11-16236Griffins2Wild4WBoxScore
32 - 2020-11-18251Wild2Condors1WBoxScore
33 - 2020-11-19265Sound Tigers3Wild4WXBoxScore
36 - 2020-11-22289Thunderbirds3Wild4WXBoxScore
38 - 2020-11-24305Wild2Marlies0WBoxScore
39 - 2020-11-25317Moose0Wild4WBoxScore
44 - 2020-11-30345Wild1Admirals3LBoxScore
45 - 2020-12-01355Wolves2Wild1LBoxScore
47 - 2020-12-03368Wild3Wolf Pack4LXBoxScore
49 - 2020-12-05384Penguins4Wild1LBoxScore
53 - 2020-12-09409Checkers0Wild2WBoxScore
55 - 2020-12-11421Wild6IceHogs3WBoxScore
57 - 2020-12-13439Crunch3Wild2LBoxScore
59 - 2020-12-15457Wild2Americans0WBoxScore
61 - 2020-12-17475Reign0Wild5WBoxScore
63 - 2020-12-19495Wild1Devils4LBoxScore
64 - 2020-12-20503Americans7Wild3LBoxScore
66 - 2020-12-22520Wild2Stars3LBoxScore
67 - 2020-12-23535Wild2Gulls6LBoxScore
68 - 2020-12-24541Bears4Wild2LBoxScore
73 - 2020-12-29565Barracuda5Wild2LBoxScore
75 - 2020-12-31574Wild3Monsters6LBoxScore
77 - 2021-01-02593Wild2Roadrunners4LBoxScore
79 - 2021-01-04600Griffins7Wild4LBoxScore
81 - 2021-01-06622Wild6Eagles5WXBoxScore
82 - 2021-01-07631Stars7Wild0LBoxScore
85 - 2021-01-10648Wild2Rocket3LBoxScore
88 - 2021-01-13663Eagles4Wild5WXXBoxScore
90 - 2021-01-15682Wild6Condors5WBoxScore
93 - 2021-01-18692Devils9Wild2LBoxScore
95 - 2021-01-20707Wild2Griffins8LBoxScore
97 - 2021-01-22722Wild4Senators2WBoxScore
98 - 2021-01-23734Wolf Pack5Wild1LBoxScore
101 - 2021-01-26755Wild2Rampage8LBoxScore
102 - 2021-01-27764IceHogs3Wild9WBoxScore
105 - 2021-01-30786Admirals5Wild0LBoxScore
107 - 2021-02-01801Wild3Bears5LBoxScore
109 - 2021-02-03812Wild3Phantoms4LBoxScore
110 - 2021-02-04826Rocket2Wild3WBoxScore
112 - 2021-02-06840Wild3Sound Tigers7LBoxScore
114 - 2021-02-08847Wild2Wolves8LBoxScore
116 - 2021-02-10852Wild5Reign3WBoxScore
117 - 2021-02-11865Roadrunners7Wild2LBoxScore
120 - 2021-02-14890Phantoms3Wild4WBoxScore
125 - 2021-02-19915Wild1Bears5LBoxScore
126 - 2021-02-20924Condors6Wild5LBoxScore
128 - 2021-02-22947Marlies3Wild2LBoxScore
132 - 2021-02-26969Wild0Heat8LBoxScore
133 - 2021-02-27981Stars6Wild3LBoxScore
135 - 2021-03-011002Wild1Penguins4LBoxScore
136 - 2021-03-021012Gulls7Wild3LBoxScore
138 - 2021-03-041022Wild2Crunch7LBoxScore
140 - 2021-03-061044Comets5Wild4LBoxScore
143 - 2021-03-091066Monsters4Wild1LBoxScore
145 - 2021-03-111083Wild2Moose3LBoxScore
146 - 2021-03-121095Wild0Comets3LBoxScore
148 - 2021-03-141101Heat8Wild3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
153 - 2021-03-191131Senators6Wild2LBoxScore
154 - 2021-03-201136Wild1Thunderbirds5LBoxScore
156 - 2021-03-221158Rampage6Wild2LBoxScore
157 - 2021-03-231165Wild4Checkers6LBoxScore
158 - 2021-03-241170Wild3Thunderbirds4LXBoxScore
161 - 2021-03-271195Wild3Barracuda4LXXBoxScore
163 - 2021-03-291206Comets4Wild2LBoxScore
168 - 2021-04-031232Bruins4Wild3LBoxScore
171 - 2021-04-061248Heat4Wild6WBoxScore
173 - 2021-04-081254Wild3Bruins6LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance78,01538,381
Attendance PCT95.14%93.61%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2839 - 94.63% 70,963$2,909,491$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,120,902$ 104,000$ 5,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 120,962$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 6,237$ 0$




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
1282274403503283342-5941172001201155164-941102402302128178-5068283485768000134935325470878813828258975199516404688117.31%3859874.55%21145242947.14%936227041.23%630134146.98%190913962140555907437
1376283605502265285-2038191303300155134213892302202110151-4173265442707320106718323830800766804202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429
1476431902444242128114382012010321316764382370141211161501062424426840170102765821930727743705161347471113063628523.48%2823189.01%51338240055.75%1049207750.51%602102858.56%216415871534492907490
1582224805331236329-9341102503120123165-4241122302211113164-5164236375611059487479253388084878337306387980614544105713.90%3388076.33%11095243644.95%1107268841.18%557129443.04%169812252374570892402
Total Regular Season3161201470151771010261084-58158667008653564530341585477071127462554-923111026174427703249442928720396568803253310523749293270434385838168330918.36%141030878.16%94705966948.66%3876897143.21%2359489548.19%776956977790211035501760
Playoff
11221480000048399127500000282531073000002014628488613403012161951501821561664421293535412142310.75%1561590.38%134574546.31%36973250.41%14328250.71%583397508177277145
1340400000921-122020000049-520200000512-709132200042393030333012741526622627.27%24579.17%04311039.09%3611431.58%246636.36%8863109264219
14251510000004142-11376000002022-2128400000212013041751161405141852801641571506722022694371181210.17%1111388.29%136676647.78%43889149.16%15833147.73%623419694207339167
Total Playoff5129220000098102-4271413000005256-4241590000046460589817427217021324011360376346346124137267410443544111.58%2913388.66%2754162146.51%843173748.53%32567947.86%12958801312411659332