Monsters

GP: 17 | W: 5 | L: 12 | OTL: 0 | P: 10
GF: 48 | GA: 76 | PP%: 18.64% | PK%: 83.78%
GM : Patrick Auger | Morale : 50 | Team Overall : 62
Next Games #292 vs Comets

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# 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
1Justin Brazeau0X100.007143946293888261656260645965674250640
2Jake Leschyshyn0X100.006637886371768464786559626664666850630
3Pierrick Dube0X100.005538786465956763666164576362644250620
4Anthony Angello0X100.008444705791748058635456605767694750610
5Jonah Gadjovich0X100.008179606382737459576058575964656850610
6David Cotton0X100.007138905880737754615556575566684750590
7Nikita Pavlychev0X100.008642795495736453575455615466684750590
8Aarne Talvitie0X100.006336935572708454625654555964664850580
9Max Veronneau0X100.006737955576736554605852575368703650580
10Ty Smith0X100.006137876968878166307263615463658250650
11Tommy Cross0X100.007543695684727555305852574674794150620
12Logan Day0X100.007039885679728055305951574569713650610
13Josiah Didier0X100.007242705581658052305453564570755050600
14Darien Kielb0X100.007141745680726654305755564764664350600
15Jack Dougherty0X100.007139895380616452305450554567696150580
Scratches
1Brayden Burke0X93.495637856165717062666457566166684250600
TEAM AVERAGE99.56704282597975755751595658546669505061
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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
1Laurent Brossoit100.00807271867978807978807971845150770
Scratches
TEAM AVERAGE100.0080727186797880797880797184515077
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Boughner75747376787272CAN5261,000,000$


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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 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
1Jake LeschyshynMonsters (Clb)C1712719720183255183421.82%521112.42134380003301067.45%21200001.8000000320
2Ty SmithMonsters (Clb)D173710-1131561374914256.12%3941424.391122759000052100.00%000000.4800100111
3Darien KielbMonsters (Clb)D174610-8280471625173116.00%2031218.403251933000042100.00%000000.6400000100
4Justin BrazeauMonsters (Clb)RW43694004724131612.50%29724.27044380000321079.03%6200001.8500000012
5Logan DayMonsters (Clb)D17178-91002314238224.35%2732018.861341433000048000.00%000000.5000000002
6Max VeronneauMonsters (Clb)RW41568001112398.33%15614.07000000000600100.00%200002.1300000010
7Pierrick DubeMonsters (Clb)RW4336500172641711.54%08922.35011070000181075.00%2000001.3400000000
8David CottonMonsters (Clb)C432586021111927.27%05413.55000000000000100.00%900001.8500000001
9Anthony AngelloMonsters (Clb)C40555140148193110.00%26917.4500026000000088.06%6700001.4300000000
10Tommy CrossMonsters (Clb)D413428018130533.33%79223.0802217000021000.00%000000.8700000010
11Josiah DidierMonsters (Clb)D512370011524150.00%25511.130000000003000.00%000001.0800000001
12Jonah GadjovichMonsters (Clb)LW4213395821511213.33%07619.162025800011800100.00%200000.7800001000
13Nikita PavlychevMonsters (Clb)C4213810086146814.29%05012.6100000000000072.73%4400001.1900000100
14Jack DoughertyMonsters (Clb)D4022740402110.00%56115.3000000000011000.00%000000.6500000000
15Aarne TalvitieMonsters (Clb)C4000000021020.00%0174.27000010000000100.00%200000.0000000000
16Brayden BurkeMonsters (Clb)LW1000100010100.00%022.780000000000000.00%000000.0000000000
Team Total or Average11436579337122102201402819420312.81%110198217.39816247417400042855074.52%42000000.9400101667
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Laurent BrossoitMonsters (Clb)44000.9620.75240013800000.000040100
Team Total or Average44000.9620.75240013800000.000040100


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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
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
Aarne TalvitieC241999-02-11No198 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Anthony AngelloC271996-03-06No210 Lbs6 ft5NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Brayden Burke (Out of Payroll)LW261997-01-01No165 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$YesLink / NHL Link
Darien KielbD241999-03-18No181 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink
David CottonC261997-07-09No200 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Jack DoughertyD271996-05-25No196 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jake LeschyshynC241999-03-10No195 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jonah GadjovichLW251998-10-12No209 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josiah DidierD301993-04-08No202 Lbs6 ft2NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Justin BrazeauRW251998-02-02No220 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Laurent BrossoitG301993-03-23No215 Lbs6 ft3NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Logan DayD291994-09-19No209 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Max VeronneauRW271995-12-12No193 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Nikita PavlychevC261997-03-23No200 Lbs6 ft7NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Pierrick DubeRW222001-01-07No172 Lbs5 ft9NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Tommy CrossD341989-09-12No205 Lbs6 ft3NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ty SmithD232000-03-24No180 Lbs5 ft11NoNoNo2RFAPro & Farm900,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1726.41197 Lbs6 ft22.29400,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonah GadjovichJake LeschyshynJustin Brazeau40122
2Anthony AngelloPierrick Dube30122
3David CottonNikita PavlychevMax Veronneau20122
4Justin BrazeauDavid CottonJake Leschyshyn10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty SmithTommy Cross40122
2Logan DayDarien Kielb30122
3Josiah DidierJack Dougherty20122
4Ty SmithTommy Cross10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonah GadjovichJake LeschyshynJustin Brazeau60122
2Anthony AngelloPierrick Dube40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty SmithTommy Cross60122
2Logan DayDarien Kielb40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Justin BrazeauJake Leschyshyn60122
2Pierrick DubeJonah Gadjovich40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty SmithTommy Cross60122
2Logan DayDarien Kielb40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Justin Brazeau60122Ty SmithTommy Cross60122
2Jake Leschyshyn40122Logan DayDarien Kielb40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Justin BrazeauJake Leschyshyn60122
2Pierrick DubeJonah Gadjovich40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty SmithTommy Cross60122
2Logan DayDarien Kielb40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonah GadjovichJake LeschyshynJustin BrazeauTy SmithTommy Cross
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jonah GadjovichJake LeschyshynJustin BrazeauTy SmithTommy Cross
Extra Forwards
Normal PowerPlayPenalty Kill
Aarne Talvitie, Nikita Pavlychev, Max VeronneauAarne Talvitie, Nikita PavlychevMax Veronneau
Extra Defensemen
Normal PowerPlayPenalty Kill
Josiah Didier, Jack Dougherty, Logan DayJosiah DidierJack Dougherty, Logan Day
Penalty Shots
Justin Brazeau, Jake Leschyshyn, Pierrick Dube, Jonah Gadjovich, Anthony Angello
Goalie
#1 : Laurent Brossoit, #2 :
Custom OT Lines Forwards
Justin Brazeau, Jake Leschyshyn, Pierrick Dube, Jonah Gadjovich, Anthony Angello, , , Nikita Pavlychev, David Cotton, Max Veronneau, Aarne Talvitie
Custom OT Lines Defensemen
Ty Smith, Tommy Cross, Logan Day, Darien Kielb, Josiah Didier


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1710W4488313146463619116633811
All Games
GPWLOTWOTL SOWSOLGFGA
1751200004876
Home Games
GPWLOTWOTL SOWSOLGFGA
81700001537
Visitor Games
GPWLOTWOTL SOWSOLGFGA
94500003339
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
591118.64%741283.78%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16116913401617150
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20448242.32%21552740.80%11326043.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
40729642110919095


Last Played Games
Filter Tips
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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
5 - 2023-08-1421Monsters0Phantoms4LBoxScore
6 - 2023-08-1529Monsters3Bears5LBoxScore
11 - 2023-08-2035Crunch5Monsters4LBoxScore
12 - 2023-08-2149Crunch6Monsters4LBoxScore
18 - 2023-08-2779Monsters2Griffins7LBoxScore
19 - 2023-08-2894Monsters4Wolves3WBoxScore
23 - 2023-09-01107Griffins4Monsters1LBoxScore
25 - 2023-09-03114Bruins5Monsters2LBoxScore
26 - 2023-09-04128Bruins3Monsters1LBoxScore
32 - 2023-09-10153Monsters2Senators9LBoxScore
34 - 2023-09-12173Monsters2Senators8LBoxScore
38 - 2023-09-16191Americans9Monsters0LBoxScore
40 - 2023-09-18209Americans5Monsters0LBoxScore
42 - 2023-09-20223Monsters9Checkers1WBoxScore
44 - 2023-09-22231Monsters5Checkers1WBoxScore
46 - 2023-09-24240Marlies0Monsters3WBoxScore
48 - 2023-09-26266Monsters6Marlies1WBoxScore
54 - 2023-10-02292Comets-Monsters-
55 - 2023-10-03304Comets-Monsters-
58 - 2023-10-06311Monsters-Wolfpack-
60 - 2023-10-08320Monsters-Penguins-
61 - 2023-10-09332Monsters-Bears-
66 - 2023-10-14357Senators-Monsters-
67 - 2023-10-15360Senators-Monsters-
72 - 2023-10-20391Monsters-Americans-
74 - 2023-10-22404Monsters-Crunch-
75 - 2023-10-23418Monsters-Comets-
79 - 2023-10-27428Marlies-Monsters-
82 - 2023-10-30459Monsters-Wolves-
83 - 2023-10-31465Monsters-Griffins-
86 - 2023-11-03471Monsters-Marlies-
88 - 2023-11-05479Monsters-Americans-
89 - 2023-11-06492Americans-Monsters-
95 - 2023-11-12520Monsters-Comets-
96 - 2023-11-13536Monsters-Crunch-
102 - 2023-11-19566Phantoms-Monsters-
103 - 2023-11-20574Phantoms-Monsters-
107 - 2023-11-24599Marlies-Monsters-
109 - 2023-11-26609Wolfpack-Monsters-
110 - 2023-11-27625Wolfpack-Monsters-
115 - 2023-12-02652Wolves-Monsters-
117 - 2023-12-04668Wolves-Monsters-
123 - 2023-12-10686Checkers-Monsters-
125 - 2023-12-12711Checkers-Monsters-
127 - 2023-12-14712Griffins-Monsters-
130 - 2023-12-17727Monsters-Griffins-
131 - 2023-12-18740Monsters-Wolves-
132 - 2023-12-19751Monsters-Wolves-
137 - 2023-12-24773Monsters-Bruins-
138 - 2023-12-25786Monsters-Wolfpack-
139 - 2023-12-26799Monsters-Bruins-
142 - 2023-12-29808Marlies-Monsters-
144 - 2023-12-31818Wolves-Monsters-
145 - 2024-01-01829Wolves-Monsters-
147 - 2024-01-03848Griffins-Monsters-
151 - 2024-01-07860Monsters-Rocket-
152 - 2024-01-08869Monsters-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11891Griffins-Monsters-
160 - 2024-01-16930Penguins-Monsters-
161 - 2024-01-17937Penguins-Monsters-
164 - 2024-01-20950Bears-Monsters-
166 - 2024-01-22964Bears-Monsters-
170 - 2024-01-26989Monsters-Griffins-
173 - 2024-01-291007Americans-Monsters-
177 - 2024-02-021030Monsters-Americans-
179 - 2024-02-041041Monsters-Penguins-
180 - 2024-02-051053Monsters-Phantoms-
185 - 2024-02-101074Rocket-Monsters-
187 - 2024-02-121094Rocket-Monsters-
193 - 2024-02-181123Monsters-Americans-
194 - 2024-02-191130Monsters-Marlies-
195 - 2024-02-201148Monsters-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance15,0267,620
Attendance PCT93.91%95.25%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
28 2831 - 94.36% 70,423$563,386$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
290,304$ 65,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 18,461$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,971,851$ 142 5,462$ 775,604$




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
12825322021312921741184126120102015187644127100111114187541182925328242901238579251208258688101662505138418105338315.57%5727087.76%91707271062.99%1238224555.14%709116360.96%237217381629547947509
12825322021312921741184126120102015187644127100111114187541182925328242901238579251208258688101662505138418105338315.57%5727087.76%91707271062.99%1238224555.14%709116360.96%237217381629547947509
13764621011342421509238211200113115744138259010211277651105242417659112092786820700668676715147144598814065299517.96%4315487.47%61490244360.99%1204208657.72%659104563.06%213515611561528899478
13764621011342421509238211200113115744138259010211277651105242417659112092786820700668676715147144598814065299517.96%4315487.47%61490244360.99%1204208657.72%659104563.06%213515611561528899478
147642220314427115611538231101012137766138191102132134805410327148475511101127775229907587477731757503112314523345416.17%4315687.01%41366241056.68%1321230557.31%640110957.71%204314781655527908469
147642220314427115611538231101012137766138191102132134805410327148475511101127775229907587477731757503112314523345416.17%4315687.01%41366241056.68%1321230557.31%640110957.71%204314781655527908469
1582343404325227179484121160111111980394113180321410899988227424651080877856235007557468211907583113714524056516.05%4536685.43%11490259557.42%1305235755.37%645113956.63%218115761808570980504
1582343404325227179484121160111111980394113180321410899988227424651080877856235007557468211907583113714524056516.05%4536685.43%11490259557.42%1305235755.37%645113956.63%218115761808570980504
16824425035322481608841201302321119833641241201211129775210724845570308089827122140767715713179353496013894577716.85%4064888.18%71469247859.28%1211226453.49%681113360.11%227616741741544943502
16824425035322481608841201302321119833641241201211129775210724845570308089827122140767715713179353496013894577716.85%4064888.18%71469247859.28%1211226453.49%681113360.11%227616741741544943502
177231330242023521322361814013001171071036131901120118106127423541064539092746519800646688633183255482313793658021.92%3326979.22%31131211353.53%1039202751.26%560108751.52%192414161601469816425
177231330242023521322361814013001171071036131901120118106127423541064539092746519800646688633183255482313793658021.92%3326979.22%31131211353.53%1039202751.26%560108751.52%192414161601469816425
1817512000004876-28817000001537-22945000003339-61048831311116171504641611691340636191166338591118.64%741283.78%020448242.32%21552740.80%11326043.46%40729642110919095
Total Regular Season957505326030303432307821409384782591630121614141531105148047924616301814201815471089458120030785527860515115161207963828273141619007901489302148064391299618114530591917.32%532473886.14%60175102998058.41%148512709554.81%79011361258.04%2627519188204176486111825875
Playoff
122016400000491930108200000219121082000002810183249831320601218174660143156146405121392396141149.93%1661093.98%338167356.61%36566654.80%16827960.22%509338516168266131
122016400000491930108200000219121082000002810183249831320601218174660143156146405121392396141149.93%1661093.98%338167356.61%36566654.80%16827960.22%509338516168266131
13514000001012-2211000005323030000059-4210172700053295038263112245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
13514000001012-2211000005323030000059-4210172700053295038263112245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
141899000003743-61037000001026-16862000002717101837691060201610945201731271344371222623861071312.15%1161487.93%128158148.36%30161548.94%12625848.84%455313458143242118
141899000003743-61037000001026-16862000002717101837691060201610945201731271344371222623861071312.15%1161487.93%128158148.36%30161548.94%12625848.84%455313458143242118
Total Playoff8652340000019214844442420000007276-44228140000012072481041923385300160666256202607086186221928576146817145626411.39%6365890.88%81440278451.72%1460288850.55%668122654.49%2147144722087011141561