Wild

GP: 62 | W: 22 | L: 38 | OTL: 2 | P: 46
GF: 211 | GA: 305 | PP%: 14.06% | PK%: 76.00%
GM : Kevin Bourassa | Morale : 50 | Team Overall : 64
Next Games #1003 vs Stars

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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Rasmus Kupari0X100.007044877080778867796366686465668150660
2Mackenzie MacEachern0X100.007138786379807864666758626569715450640
3Tanner Laczynski0X100.006636956575747167816566636766684750640
4Aatu Raty0X100.006838916578807263775960646661637250630
5Alexander Holtz0X100.006237926873827767626066596861638750630
6Adam Brooks0X100.006037886370767564696158596267695350610
7Xavier Bourgault0X100.006037926069817159626058575961638250600
8Michael Del Zotto0X100.007240776773888264307266635479754950670
9Victor Mete0X100.005744877167826966306958705166675950650
10Jeremy Davies0X100.005940696368798464306758605167694250630
11Chase Priskie0X100.006136876271838158305556574867694250620
12Emil Andrae0X100.005738816266656059306358565061637150590
Scratches
1Rem Pitlick0XX100.006039847370868469747166627066676250670
2Aleksi Heponiemi0X94.046034906763788564776659606864667350630
3William Lockwood0X100.007838816367838162605862616366656450620
TEAM AVERAGE99.60643885657180776457646161606667635063
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
1Samuel Ersson100.00747879767372747372747364715450710
2Jakub Skarek100.00706768836968706968706964716450680
Scratches
1Dylan Garand100.00716566707169717069717061656250670
2Garrett Metcalf100.00615657776059616059616067774250620
TEAM AVERAGE100.0069676877686769686769686471565067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Bouchard71686965746978CAN4911,000,000$


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
1William LockwoodWild (Min)RW4643125512680171962717520615.87%2970215.271121847000009365.00%4000031.57000001342
2Jeremy DaviesWild (Min)D6284553612430158678528449.41%9390314.570001326000011100.00%000001.17012132108
3Aleksi HeponiemiWild (Min)C53221234-722082781605312213.75%214789.0200000000030275.00%2800011.4212000269
4Alexander HoltzWild (Min)RW14158230403530104378414.42%1325918.562242355000002169.57%2300021.7711000312
5Chase PriskieWild (Min)D15156-714014995611.11%41338.870000100000000.00%000000.9000000000
6Adam BrooksWild (Min)C6235-39566124916.67%06110.2700000000001066.67%300001.6200100100
7Sebastien AhoMinnesota WildD3134-2804584212.50%67224.1610161300006000.00%000001.1000000000
8Joe VelenoMinnesota WildC230320089951133.33%14723.9200007000090071.87%6400011.2500000100
9Tanner LaczynskiWild (Min)C6000000010000.00%010.33000000000100100.00%300000.0000000000
Team Total or Average207958818312493547830165821148414.44%167266012.854376015100003213670.81%16100071.3824313222121
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
Aatu RatyC212002-11-14No190 Lbs6 ft2NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Adam BrooksC271996-05-06No179 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Aleksi Heponiemi (Out of Payroll)C251999-01-09No155 Lbs5 ft10NoNoNo1RFAPro & Farm900,000$0$0$YesLink / NHL Link
Alexander HoltzRW222002-01-23No195 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Chase PriskieD281996-03-19No185 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Dylan GarandG212002-06-07No173 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Emil AndraeD222002-02-23No181 Lbs5 ft9NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Garrett MetcalfG281996-03-05No185 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jakub SkarekG241999-11-10No196 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jeremy DaviesD271996-12-04No180 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mackenzie MacEachernLW301994-03-09No193 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael Del ZottoD331990-06-24No195 Lbs6 ft0NoNoNo2UFAPro & Farm1,374,977$0$0$NoLink / NHL Link
Rasmus KupariC242000-03-15No200 Lbs6 ft2NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Rem PitlickC/RW261997-04-02No186 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Samuel ErssonG241999-10-20No176 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Tanner LaczynskiC261997-06-01No190 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Victor MeteD251998-06-07No187 Lbs5 ft9NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
William LockwoodRW251998-06-20No172 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Xavier BourgaultRW212002-10-22No172 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1925.21184 Lbs6 ft02.05614,472$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Jeremy Davies30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Jeremy Davies40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Jeremy Davies40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Jeremy Davies40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Jeremy Davies40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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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
6246L221137358421262576709565124900
All Games
GPWLOTWOTL SOWSOLGFGA
6217382230211305
Home Games
GPWLOTWOTL SOWSOLGFGA
3112161020120136
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31522121091169
Last 10 Games
WLOTWOTL SOWSOL
181000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2493514.06%2506076.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
674693721468067597
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
733175741.72%751192439.03%363104634.70%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13369801741414665305


Last Played Games
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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
4 - 2023-08-139Silver Knights6Wild1LBoxScore
5 - 2023-08-1420Silver Knights6Wild5LBoxScore
11 - 2023-08-2039Wild2Moose8LBoxScore
12 - 2023-08-2151Wild1Moose6LBoxScore
16 - 2023-08-2570Wolves2Wild6WBoxScore
18 - 2023-08-2781Wild6IceHogs4WBoxScore
19 - 2023-08-2892Wild5Admirals6LXBoxScore
24 - 2023-09-02111Admirals3Wild2LBoxScore
26 - 2023-09-04132Stars2Wild4WBoxScore
27 - 2023-09-05141Stars5Wild8WBoxScore
32 - 2023-09-10157Wild5IceHogs4WBoxScore
33 - 2023-09-11168Wild6Wolves5WXXBoxScore
40 - 2023-09-18213IceHogs2Wild6WBoxScore
41 - 2023-09-19221IceHogs2Wild4WBoxScore
44 - 2023-09-22235Wild1Admirals8LBoxScore
47 - 2023-09-25255Wild7Bears5WBoxScore
48 - 2023-09-26264Wild5Bears3WBoxScore
53 - 2023-10-01285Wild1Eagles4LBoxScore
54 - 2023-10-02301Wild1Eagles7LBoxScore
57 - 2023-10-05310IceHogs2Wild8WBoxScore
60 - 2023-10-08324Admirals5Wild4LBoxScore
61 - 2023-10-09335Admirals10Wild4LBoxScore
64 - 2023-10-12349Wolves3Wild5WBoxScore
67 - 2023-10-15366Wild6IceHogs3WBoxScore
68 - 2023-10-16375Wild3IceHogs4LBoxScore
72 - 2023-10-20392Wild2Admirals4LBoxScore
74 - 2023-10-22410Moose4Wild2LBoxScore
75 - 2023-10-23419Moose10Wild2LBoxScore
80 - 2023-10-28437Eagles5Wild1LBoxScore
82 - 2023-10-30456Eagles3Wild1LBoxScore
88 - 2023-11-05483Griffins7Wild2LBoxScore
89 - 2023-11-06494Griffins2Wild1LBoxScore
95 - 2023-11-12527Wild1Gulls10LBoxScore
96 - 2023-11-13541Wild2Gulls4LBoxScore
98 - 2023-11-15551Wild4Roadrunners5LXBoxScore
100 - 2023-11-17560Wild5Roadrunners6LBoxScore
103 - 2023-11-20583Wild5IceHogs4WXBoxScore
105 - 2023-11-22595Stars7Wild4LBoxScore
107 - 2023-11-24605Stars3Wild2LBoxScore
109 - 2023-11-26617Gulls2Wild3WBoxScore
110 - 2023-11-27628Gulls4Wild6WBoxScore
116 - 2023-12-03665Wild2Silver Knights6LBoxScore
117 - 2023-12-04681Wild1Silver Knights3LBoxScore
123 - 2023-12-10693Roadrunners4Wild7WBoxScore
124 - 2023-12-11704Roadrunners3Wild7WBoxScore
130 - 2023-12-17731Wild3Stars6LBoxScore
131 - 2023-12-18742Wild2Stars8LBoxScore
133 - 2023-12-20759IceHogs3Wild4WXXBoxScore
135 - 2023-12-22766IceHogs4Wild5WXXBoxScore
138 - 2023-12-25794Wild1IceHogs3LBoxScore
139 - 2023-12-26800Wild3Wolves5LBoxScore
142 - 2023-12-29810Wild0Griffins7LBoxScore
144 - 2023-12-31821Wild3Griffins6LBoxScore
146 - 2024-01-02846Wild4Admirals5LBoxScore
152 - 2024-01-08877Moose4Wild5WBoxScore
153 - 2024-01-09887Moose7Wild2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
158 - 2024-01-14908Wild0Griffins8LBoxScore
159 - 2024-01-15921Wild1Griffins7LBoxScore
160 - 2024-01-16932Wild3Wolves5LBoxScore
165 - 2024-01-21956Wolves4Wild5WXBoxScore
166 - 2024-01-22967Wolves4Wild2LBoxScore
169 - 2024-01-25984Admirals8Wild2LBoxScore
172 - 2024-01-281003Wild-Stars-
173 - 2024-01-291016Wild-Stars-
179 - 2024-02-041042Bears-Wild-
180 - 2024-02-051051Bears-Wild-
183 - 2024-02-081069IceHogs-Wild-
187 - 2024-02-121089Wild-Moose-
188 - 2024-02-131103Wild-Moose-
191 - 2024-02-161114Griffins-Wild-
193 - 2024-02-181126Griffins-Wild-
194 - 2024-02-191138Wild-Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance58,89029,662
Attendance PCT94.98%95.68%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
5 2857 - 95.22% 71,140$2,205,351$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
976,109$ 107,750$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 99,161$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
355,702$ 24 5,681$ 136,344$




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
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
1376283605502265285-2038191303300155134213892302202110151-4173265442707320106718323830800766804202860092614384438619.41%4059975.56%11127240446.88%784193640.50%570123246.27%199614881740490842429
1476431902444242128114382012010321316764382370141211161501062424426840170102765821930727743705161347471113063628523.48%2823189.01%51338240055.75%1049207750.51%602102858.56%216415871534492907490
1476431902444242128114382012010321316764382370141211161501062424426840170102765821930727743705161347471113063628523.48%2823189.01%51338240055.75%1049207750.51%602102858.56%216415871534492907490
1582224805331236329-9341102503120123165-4241122302211113164-516423637561105094874725330880848783306387980614544105713.90%3388076.33%11095243644.95%1107268841.18%557129443.04%169812252374570892402
1582224805331236329-9341102503120123165-4241122302211113164-516423637561105094874725330880848783306387980614544105713.90%3388076.33%11095243644.95%1107268841.18%557129443.04%169812252374570892402
1682363404431301249524118150412114611630411819003101551332291301526827020116898926250847866895207657888214434307818.14%3726682.26%61497266856.11%1139213853.27%702125156.12%213915801884539924470
1682363404431301249524118150412114611630411819003101551332291301526827020116898926250847866895207657888214434307818.14%3726682.26%61497266856.11%1139213853.27%702125156.12%213915801884539924470
17722837034002652587361519020001381172136131801400127141-1466265490755150109837022680777736745183753381712713677019.07%3298474.47%51474227364.85%1036170160.91%715113463.05%199614851510455821437
17722837034002652587361519020001381172136131801400127141-1466265490755150109837022680777736745183753381712713677019.07%3298474.47%51474227364.85%1036170160.91%715113463.05%199614851510455821437
1862173802230211305-9431121601020120136-16315220121091169-7846211373584008067597212667469372146257670956512492493514.06%2506076.00%1733175741.72%751192439.03%363104634.70%13369801741414665305
Total Regular Season100238547404652232233953487-9250121022402914168181616621545011752500173871415791825-246982339558939288862801389105780731224674105111026595662898883391083918353520994918.22%447297678.18%41160853097751.93%128532754446.66%79151560650.72%2514718508241126624112575642
Playoff
11221480000048399127500000282531073000002014628488613403012161951501821561664421293535412142310.75%1561590.38%134574546.31%36973250.41%14328250.71%583397508177277145
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
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
14251510000004142-11376000002022-2128400000212013041751161405141852801641571506722022694371181210.17%1111388.29%136676647.78%43889149.16%15833147.73%623419694207339167
Total Playoff102584400000196204-854282600000104112-848301800000929201161963485442140426480227207526926922482744134820887088211.58%5826688.66%41508324246.51%1686347448.53%650135847.86%2590176126258221318664