Wild

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Mario Michaud | Morale : 75 | Team Overall : 63

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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
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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
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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
1Frank NazarXX100.006336878068888675777371707462688575720
2Zemgus GirgensonsXX100.008154846983829063766061796282745275690
3Marat KhusnutdinovXXX100.006534937271828967756463736664657475680
4Isak RosenXX100.006136956971858766646367626963658375650
5Matthew PoitrasXX100.006239796972828768666761636562647175650
6Jonathan LekkerimakiX100.006135956667877768555967586662648475640
7Landon SlaggertXX100.006939866770788563576059686264656375640
8John HaydenXX100.008079656388818559615758655672735175640
9Konsta HeleniusX100.006437896670848665686761626360628675640
10Brett BerardX100.006340726764858263666260616365675575630
11Ethan Del MastroX100.007639776588838564306355665263656175660
12Logan MaillouxX100.007543736886858765306463615263657875660
13Kaedan KorczakX100.007337936685868262307255634965677175660
14Nolan AllanX100.007054716379828462306454654963657775640
15Jordan HarrisX100.006534956672806763307058625066686275640
16Daemon HuntX100.006637916376777559306552664764676375630
Scratches
1Victor Eklund (R)X100.006735947266856271757063657360628675670
2Nick Lardis (R)X100.006535917065868967646269637261636775660
3Oliver Moore (R)X100.006137897170808265746766646961638375660
4David GustafssonXXX100.006939936580797559666458625967686475640
5Denver Barkey (R)X100.006338836965828667626660636562616475640
6Olivier Nadeau (R)X100.007241876181737058646255605763656275620
7Aleksanteri Kaskimaki (R)X100.006337956173828559636058615963626675610
8Hunter Haight (R)XX100.006336866065838459625761565863647375600
9Matyas Melovsky (R)X100.006639825875738056615957625562644975600
10Samu TuomaalaX100.005838826067827158676457565963657375600
11Alexander Suzdalev (R)X100.006639955875727457545655595762646775590
12Jakub Stancl (R)XX100.007539935684717255625453585561636275590
13Xavier BourgaultXX100.006536895769848556605958555764668075590
14Devin Kaplan (R)X100.007041675680757853515554575862646775580
15Martin Misiak (R)X100.007039865679728454575553585262647175580
16Robert Mastrosimone (R)XX100.005538805864757856545759555865676875580
17Josh LopinaXX100.007039885579677452585453565265676075580
18Zach Dean (R)X100.006138805870716856615955575463657875580
19Matthew RobertsonX100.007742786788848564306659684965677075680
20Donovan SebrangoX100.007548626385807758306555614864666875630
21Lassi ThomsonX100.006340746273827257306558594866687975620
22Stian SolbergX100.007041665979707556305758604861638175610
23Kirill Kudryavtsev (R)X100.006337936072858157306354564762644975590
24Calle Odelius (R)X100.006638925775647456305553544562646775570
25Beau Akey (R)X100.006038835569667554305653574661637075570
26Tomas Hamara (R)X100.006238885371636852305154564562646675560
TEAM AVERAGE100.00674084637579796152625861576465697563
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
1Joel Blomqvist100.00778278847675777675777664716975760
Scratches
1Calle Clang100.00758480797473757473757464716475740
2Michael Hrabal (R)100.00687269946766686766686761657575690
3Jesper Vikman (R)100.00667571796564666564666564715775670
TEAM AVERAGE100.0072787584717072717072716370667572
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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
Aleksanteri KaskimakiC222004-02-06Yes195 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Alexander SuzdalevRW222004-03-05Yes172 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Beau AkeyD212005-02-11Yes173 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Brett BerardLW232002-09-09No175 Lbs5 ft9NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Calle ClangG242002-05-20No194 Lbs6 ft2NoNoNo0ELCPro & Farm0$0$NoLink / NHL Link
Calle OdeliusD222004-05-30Yes201 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Daemon HuntD242002-05-15No193 Lbs6 ft1NoNoNo2ELCPro & Farm977,800$0$0$NoLink / NHL Link
David GustafssonC/LW/RW262000-04-11No196 Lbs6 ft2NoNoYes1RFAPro & Farm800,000$0$0$NoLink / NHL Link
Denver BarkeyC212005-04-27Yes171 Lbs5 ft10NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Devin KaplanRW222004-01-10Yes199 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Donovan SebrangoD242002-01-12No223 Lbs6 ft2NoNoNo1ELCPro & Farm873,600$0$0$NoLink / NHL Link
Ethan Del MastroD232003-01-15No210 Lbs6 ft4NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Frank NazarC/RW222004-01-14No190 Lbs5 ft10NoNoNo2ELCPro & Farm925,000$0$0$NoLink / NHL Link
Hunter HaightC/RW222004-04-04Yes173 Lbs5 ft10NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Isak RosenLW/RW232003-03-15No185 Lbs6 ft0NoNoNo2ELCPro & Farm1,050,000$0$0$NoLink / NHL Link
Jakub StanclC/LW212005-04-10Yes201 Lbs6 ft3NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Jesper VikmanG242002-03-11Yes179 Lbs6 ft3NoNoNo2ELCPro & Farm800,000$0$0$NoLink / NHL Link
Joel BlomqvistG242002-01-10No200 Lbs6 ft3NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
John HaydenC/RW311995-02-14No223 Lbs6 ft3NoNoYes1UFAPro & Farm900,000$0$0$NoLink / NHL Link
Jonathan LekkerimakiRW212004-07-24No172 Lbs5 ft11NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Jordan HarrisD252000-07-07No189 Lbs6 ft0NoNoYes1ELCPro & Farm1,338,000$0$0$NoLink / NHL Link
Josh LopinaC/RW252001-02-16No195 Lbs6 ft2NoNoNo0ELCPro & Farm0$0$NoLink / NHL Link
Kaedan KorczakD252001-01-29No206 Lbs6 ft3NoNoNo1ELCPro & Farm1,150,000$0$0$NoLink / NHL Link
Kirill KudryavtsevD222004-02-05Yes200 Lbs5 ft11NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Konsta HeleniusC202006-05-11No190 Lbs5 ft11NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Landon SlaggertC/LW242002-06-25No180 Lbs6 ft0NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Lassi ThomsonD252000-09-24No195 Lbs6 ft0NoNoNo1ELCPro & Farm971,300$0$0$NoLink / NHL Link
Logan MaillouxD232003-04-15No212 Lbs6 ft3NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Marat KhusnutdinovC/LW/RW232002-07-17No184 Lbs5 ft11NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Martin MisiakRW212004-09-30Yes194 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Matthew PoitrasC/RW222004-03-10No189 Lbs6 ft0NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Matthew RobertsonD252001-03-09No210 Lbs6 ft4NoNoNo3ELCPro & Farm1,000,000$0$0$NoLink / NHL Link
Matyas MelovskyC222004-05-25Yes190 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Michael HrabalG212005-01-20Yes209 Lbs6 ft6NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Nick LardisLW202005-07-08Yes165 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Nolan AllanD232003-04-28No195 Lbs6 ft2NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Oliver MooreC212005-01-22Yes188 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Olivier NadeauRW232003-01-15Yes204 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Robert MastrosimoneC/LW252001-01-24Yes170 Lbs5 ft10NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Samu TuomaalaRW232003-01-08No174 Lbs5 ft11NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Stian SolbergD202005-12-29No194 Lbs6 ft2NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Tomas HamaraD222004-03-09Yes185 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Victor EklundRW192006-10-03Yes161 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Xavier BourgaultC/RW232002-10-22No185 Lbs5 ft11NoNoNo2ELCPro & Farm979,200$0$0$NoLink / NHL Link
Zach DeanC232003-01-04Yes176 Lbs6 ft0NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Zemgus GirgensonsC/LW321994-01-05No197 Lbs6 ft3NoNoYes1UFAPro & Farm875,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4623.02190 Lbs6 ft11.80881,302$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett BerardFrank NazarJohn Hayden35122
2Landon SlaggertKonsta HeleniusJonathan Lekkerimaki30122
3Isak RosenMarat Khusnutdinov20122
4John Hayden15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxJordan Harris35122
2Ethan Del Mastro30122
3Nolan AllanKaedan Korczak20122
415122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett BerardFrank NazarJohn Hayden60122
2Landon SlaggertIsak RosenJonathan Lekkerimaki40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxJordan Harris60122
2Ethan Del Mastro40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Frank NazarJohn Hayden60122
2Jonathan LekkerimakiBrett Berard40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxJordan Harris60122
2Ethan Del Mastro40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brett Berard60122Logan MaillouxJordan Harris60122
2John Hayden40122Ethan Del Mastro40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Isak RosenJohn Hayden60122
2Jonathan LekkerimakiBrett Berard40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxJordan Harris60122
2Ethan Del Mastro40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brett BerardFrank NazarJohn HaydenLogan MaillouxJordan Harris
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brett BerardFrank NazarJohn HaydenLogan MaillouxJordan Harris
Extra Forwards
Normal PowerPlayPenalty Kill
Isak Rosen, John Hayden, Isak Rosen, John Hayden
Extra Defensemen
Normal PowerPlayPenalty Kill
Nolan Allan, Kaedan Korczak, Nolan AllanKaedan Korczak,
Penalty Shots
, John Hayden, Jonathan Lekkerimaki, Brett Berard, Frank Nazar
Goalie
#1 : Joel Blomqvist, #2 :
Custom OT Lines Forwards
Frank Nazar, John Hayden, Jonathan Lekkerimaki, Brett Berard, Konsta Helenius, Landon Slaggert, Landon Slaggert, Isak Rosen, , Marat Khusnutdinov,
Custom OT Lines Defensemen
Logan Mailloux, Jordan Harris, , Ethan Del Mastro, Nolan Allan


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
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,026,995$ 2,026,995$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 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
2783125078432332112239141405312113107639171102531120104169523341364615089656822490730707771213165440816531764425.00%1774574.58%21269252850.20%1220245849.63%659125752.43%1894128917925811069543
382224006563253297-4441112002431124146-2241112004132129151-227625346371621094796825730867853804260973050517831794022.35%2004378.50%31436278351.60%1293271547.62%672136849.12%1937132219516031096540
48232330453526225111411715032221381201841151801313124131-788262463725110103827026610894875864277778039215601423323.24%1743281.61%41261272346.31%1348289146.63%633132147.92%1878130020405891057515
20208241290261329727126412414011011601322841171501512137139-2972975368330101001148029510944989989276780450319972757326.55%2073881.64%01570306951.16%1473293450.20%751140453.49%1960135119176111076540
20218240330520228226616411818031011341295412215021011481371194282527809020107957526950874905901275979165720052465823.58%2655380.00%21350294845.79%1404294547.67%658134348.99%1925131819596031062526
202282334004302286291-541171802202143150-741162202100143141279286525811210105938427290914942857287078660517892424619.01%2385975.21%21493290351.43%1494297650.20%693140149.46%1914131819606061067530
20238247230912035529164412710020201931405341201307100162151111173556581013010141114893131010541069978309386866919393138125.88%2947375.17%41665311153.52%1627324350.17%748142552.49%1996139419165991034518
202482362906434286267194117140431214913316411915021221371343982865148001209697843035096710171010299584970219523597420.61%3035781.19%01582318349.70%1622320650.59%678136249.78%2032141418966041053537
20258233280610322962906411912033221581411741141603710138149-11962965348302209710882302509989831011279582362719323537420.96%2847473.94%01637328549.83%1483297449.87%712140350.75%2048142118646041065545
Total Regular Season73431528004944222425502435115367164135025191113131211981143671511450242511111238123718402550463371839160932847700250490824283408185247967085506816610228552322.89%214247477.87%17132632653349.99%129642634249.21%62041228450.50%175881212917298540395834798
Playoff
1624000001720-33120000067-1312000001113-241730470006741610466253209527414428621.43%30583.33%08219342.49%11126142.53%319034.44%13186151477737
240400000918-92020000037-420200000611-5091625000333110043313613945208513323.08%10460.00%06014541.38%6414544.14%276640.91%9162101305225
20201710700000575348620000027225945000003031-12057108165000271216639017122018666220211443351815.69%551278.18%034767551.41%32667948.01%14928951.56%415282456135234115
2023181170000078681010640000043394853000003529622781432211002323325970189183213657215153451761925.00%641084.38%032364849.85%31967547.26%15633546.57%421285433135239117
20242011900000705713105500000312741064000003930922701291991102524197310243244234715212161481832226.51%571377.19%035078744.47%38978749.43%15334144.87%495344463146257133
2025734000002829-13210000014122413000001417-3628558300097112300756970297757520024729.17%34876.47%013828049.29%16130652.61%4712138.84%173116179559847
Total Playoff723735000002592451436201600000124114103617190000013513147425948174021093768524680767809792267980159717942756523.64%2505279.20%01300272847.65%1370285348.02%563124245.33%172911791786550959477