Charlesbourg Cavaliers

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : L'Aperetif | Morale : 54 | Team Overall : 63
Next Games #4 vs Lowell Plainsmen
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
1Tony Jerauld0X97.01992953587542636472676558679999978640
2Gary Kana0X99.0017599657973853713982757099996079630
3Joshua Bolanos (R)0X99.004026828142863966796170525080894882630
4Mark Van Ammon0X100.00642766657871775215359627098833081620
5Tyler Russell0X100.003519967371755847486365655087624867610
6Ryan Balensiefen0X100.00245996085768063106465197099996535600
7Tobias Lofgren0X99.004415917066686560824073685065376737600
8Mark Landess0X100.003418966266715758755974487096445134600
9Jeff Randolf0X98.5019399578577785523514890399999561680
10Grant Balogh0X100.00993236747460575719646258639999724670
11Alex-Alain Poirot0X99.006522766578766955144439877099534862670
12Ricky Panzarino0X100.006322936667797058115753635096873948650
13Max Ruschak0X100.00732997572527137384534625094714175620
14Dillon Ferguson0X100.007622396266773860276874395085875140610
15Eric Thompson (R)0X100.003930918058845153163846785076346755610
16Casey Sobey0X100.003815917072786271786656287091793740600
Scratches
1Seth Nelson (R)0X95.296426967856852761757867885098388236670
2Marcelino Margotta (R)0X95.00432699805880617177090375093714083670
3Todd Berry0X88.762916997371815455606692587070875032660
4Jan-Vincent Lalonde0X100.00101996878767254173958707099993330600
5Pierre-Alain Luque0X100.004218997671737450404076447099544020590
6Alan Cowart0X100.003330707467817153164860597088586520590
7Cameron DeMarco0X100.003918996863746056455677485064516520590
8Adam Scheible0X100.003510997572778355596835397077586220580
9Jim Fieldson0X100.007118957070816366845231467079895120580
10Carey Grosso0X100.003821897664705860784260525084634420580
11Maxime Patoine0X100.00522279717075774575076477075457119580
12Andrew McGuirk (R)0X100.00402699656388615587463345066455220580
13Ethan Wolery0X100.005321908058786435124851597085567720560
14Sebastien Lemieux0X100.00332996875666722425731767091696320600
15Joe Hostin0X100.004811996376747357365552517099425520590
16Ben Sitterly (R)0X100.003932826661815248153135685093845820590
TEAM AVERAGE99.08471887706975645437556057618870494161
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
1Grady Reidenbach100.00776959727090848284687482915182770
2Kevin Casserly96.00629548796398647495657099842369760
Scratches
1Darryl Kacher100.0074836372709275756862799999419750
2Ivan Weigold100.00716575747382918268647040844820720
3Caleb Rosen100.00588883897773573458645799995620690
TEAM AVERAGE99.2068806677718774697565708491364274
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Neil McKeaney74708479797956CAN432260,000$


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
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
Adam ScheibleCharlesbourg Cavaliers (Que)LW236/10/1995No183 Lbs6 ft5NoNoNo1RFAPro & Farm218,860$0$0$No
Alan CowartCharlesbourg Cavaliers (Que)RW213/26/1997No179 Lbs6 ft2NoNoNo1ELCPro & Farm233,275$0$0$No
Alex-Alain PoirotCharlesbourg Cavaliers (Que)D222/7/1997No209 Lbs6 ft4NoNoNo1ELCPro & Farm267,495$0$0$No
Andrew McGuirkCharlesbourg Cavaliers (Que)RW195/10/1999Yes212 Lbs6 ft5NoNoNo3ELCPro & Farm259,486$0$0$No
Ben SitterlyCharlesbourg Cavaliers (Que)D191/23/2000Yes201 Lbs6 ft2NoNoNo4ELCPro & Farm244,658$0$0$No
Caleb RosenCharlesbourg Cavaliers (Que)G3011/8/1988No248 Lbs6 ft7NoNoNo1UFAPro & Farm200,000$0$0$No
Cameron DeMarcoCharlesbourg Cavaliers (Que)LW196/4/1999No191 Lbs6 ft2NoNoNo3ELCPro & Farm284,147$0$0$No
Carey GrossoCharlesbourg Cavaliers (Que)C193/19/1999No184 Lbs6 ft6NoNoNo3ELCPro & Farm269,335$0$0$No
Casey SobeyCharlesbourg Cavaliers (Que)D229/1/1996No194 Lbs6 ft4NoNoNo2ELCPro & Farm239,257$0$0$No
Darryl KacherCharlesbourg Cavaliers (Que)G2910/4/1989No176 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$No
Dillon FergusonCharlesbourg Cavaliers (Que)D193/20/1999No212 Lbs6 ft1NoNoNo3ELCPro & Farm263,105$0$0$No
Eric ThompsonCharlesbourg Cavaliers (Que)D199/15/1999Yes172 Lbs6 ft3NoNoNo4ELCPro & Farm250,932$0$0$No
Ethan WoleryCharlesbourg Cavaliers (Que)RW2211/6/1996No163 Lbs6 ft2NoNoNo3ELCPro & Farm242,983$0$0$No
Gary KanaCharlesbourg Cavaliers (Que)RW261/21/1993No210 Lbs6 ft5NoNoNo2RFAPro & Farm340,000$0$0$No
Grady ReidenbachCharlesbourg Cavaliers (Que)G249/19/1994No172 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$No
Grant BaloghCharlesbourg Cavaliers (Que)D265/15/1992No183 Lbs6 ft4NoNoNo1RFAPro & Farm468,000$0$0$No
Ivan WeigoldCharlesbourg Cavaliers (Que)G226/13/1996No186 Lbs6 ft0NoNoNo3ELCPro & Farm255,000$0$0$No
Jan-Vincent LalondeCharlesbourg Cavaliers (Que)RW2411/8/1994No203 Lbs6 ft4NoNoNo1RFAPro & Farm321,750$0$0$No
Jeff RandolfCharlesbourg Cavaliers (Que)D2911/18/1989No240 Lbs6 ft6NoNoNo2UFAPro & Farm425,000$0$0$No
Jim FieldsonCharlesbourg Cavaliers (Que)LW227/20/1996No193 Lbs6 ft3NoNoNo1ELCPro & Farm246,480$0$0$No
Joe HostinCharlesbourg Cavaliers (Que)D227/18/1996No216 Lbs6 ft5NoNoNo1ELCPro & Farm224,472$0$0$No
Joshua BolanosCharlesbourg Cavaliers (Que)C197/27/1999Yes169 Lbs6 ft3NoNoNo4ELCPro & Farm281,305$0$0$No
Kevin CasserlyCharlesbourg Cavaliers (Que)G271/15/1992No212 Lbs6 ft0NoNoNo1RFAPro & Farm544,500$0$0$No
Marcelino Margotta (Out of Payroll)Charlesbourg Cavaliers (Que)LW191/30/2000Yes169 Lbs6 ft3NoNoNo4ELCPro & Farm439,423$0$0$No
Mark LandessCharlesbourg Cavaliers (Que)LW2111/29/1997No210 Lbs6 ft1NoNoNo3ELCPro & Farm255,868$0$0$No
Mark Van AmmonCharlesbourg Cavaliers (Que)RW223/6/1996No205 Lbs6 ft2NoNoNo2ELCPro & Farm285,000$0$0$No
Max RuschakCharlesbourg Cavaliers (Que)D271/30/1992No176 Lbs6 ft2NoNoNo1RFAPro & Farm255,000$0$0$No
Maxime PatoineCharlesbourg Cavaliers (Que)C2010/21/1998No209 Lbs6 ft11NoNoNo3ELCPro & Farm249,213$0$0$No
Pierre-Alain LuqueCharlesbourg Cavaliers (Que)RW218/12/1997No185 Lbs6 ft6NoNoNo2ELCPro & Farm287,710$0$0$No
Ricky PanzarinoCharlesbourg Cavaliers (Que)D194/30/1999No208 Lbs6 ft3NoNoNo3ELCPro & Farm275,320$0$0$No
Ryan BalensiefenCharlesbourg Cavaliers (Que)C231/2/1996No241 Lbs6 ft7NoNoNo2RFAPro & Farm306,081$0$0$No
Sebastien LemieuxCharlesbourg Cavaliers (Que)D238/20/1995No195 Lbs6 ft2NoNoNo2RFAPro & Farm259,163$0$0$No
Seth NelsonCharlesbourg Cavaliers (Que)RW1912/18/1999Yes170 Lbs6 ft1NoNoNo4ELCPro & Farm573,077$0$0$No
Tobias LofgrenCharlesbourg Cavaliers (Que)C205/26/1998No185 Lbs6 ft1NoNoNo2ELCPro & Farm260,480$0$0$No
Todd Berry (Out of Payroll)Charlesbourg Cavaliers (Que)RW204/3/1998No193 Lbs6 ft3NoNoNo2ELCPro & Farm455,817$0$0$No
Tony JerauldCharlesbourg Cavaliers (Que)LW376/21/1981No216 Lbs6 ft0NoNoNo1UFAPro & Farm340,000$0$0$No
Tyler RussellCharlesbourg Cavaliers (Que)LW2011/9/1998No191 Lbs6 ft5NoNoNo3ELCPro & Farm331,611$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3722.57196 Lbs6 ft32.22309,562$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joshua Bolanos40122
2Tony JerauldTobias LofgrenGary Kana30122
3Tyler RussellRyan BalensiefenMark Van Ammon20122
4Mark Landess10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff RandolfAlex-Alain Poirot40122
2Grant BaloghRicky Panzarino30122
3Max RuschakDillon Ferguson20122
4Eric ThompsonCasey Sobey10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joshua Bolanos60122
2Tony JerauldTobias LofgrenGary Kana40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff RandolfAlex-Alain Poirot60122
2Grant BaloghRicky Panzarino40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Tony JerauldJoshua Bolanos40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff RandolfAlex-Alain Poirot60122
2Grant BaloghRicky Panzarino40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jeff RandolfAlex-Alain Poirot60122
240122Grant BaloghRicky Panzarino40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Tony JerauldJoshua Bolanos40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeff RandolfAlex-Alain Poirot60122
2Grant BaloghRicky Panzarino40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joshua BolanosJeff RandolfAlex-Alain Poirot
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joshua BolanosJeff RandolfAlex-Alain Poirot
Extra Forwards
Normal PowerPlayPenalty Kill
Mark Van Ammon, Tyler Russell, Ryan BalensiefenMark Van Ammon, Tyler RussellRyan Balensiefen
Extra Defensemen
Normal PowerPlayPenalty Kill
Max Ruschak, Dillon Ferguson, Eric ThompsonMax RuschakDillon Ferguson, Eric Thompson
Penalty Shots
, , Tony Jerauld, Joshua Bolanos, Gary Kana
Goalie
#1 : Kevin Casserly, #2 : Grady Reidenbach


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL TGFGA
00000000
Home Games
GPWLOTWOTL TGFGA
00000000
Visitor Games
GPWLOTWOTL TGFGA
00000000
Last 10 Games
WLOTWOTL T
00000
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
1 - 2019-09-024Charlesbourg Cavaliers-Lowell Plainsmen-
3 - 2019-09-0412Charlesbourg Cavaliers-Lowell Plainsmen-
5 - 2019-09-0620Lowell Plainsmen-Charlesbourg Cavaliers-
7 - 2019-09-0828Lowell Plainsmen-Charlesbourg Cavaliers-
9 - 2019-09-1036Charlesbourg Cavaliers-Lowell Plainsmen-
11 - 2019-09-1244Lowell Plainsmen-Charlesbourg Cavaliers-
13 - 2019-09-1452Charlesbourg Cavaliers-Lowell Plainsmen-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
40 0 - 0.00%0$0$3000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,749,497$ 2,749,497$ 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$ 14 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
1680373352300293274194019171210014713984018164020014613511792934747671188107962252086684979510265583548414242575421.01%2435776.54%61050194054.12%1053200252.60%615121550.62%160483816807791550768
07-08802636132300272302-3040112540000127164-374015119230014513876527243570701721306822369720927691312227753107317802425121.07%2075473.91%10869168051.73%908174552.03%726136953.03%157773315188301783898
08-098046215620035127576402574310019415044402114131001571253297351539890011041341076286796199987829241782565618322265524.34%2145076.64%16989189952.08%910179450.72%720137252.48%1589786324717431710842
09-108043249310036129269402210521001901543640211441000171138339536157793820102142114329491010100791814252689665317592256127.11%2134877.46%11982192750.96%913179550.86%726140651.64%1634841546928821677830
10-11803530636003002712940181522300158141174017154130014213012763004697691393105993278893891292414239881449015941934422.80%2004577.50%51029187254.97%998186153.63%634117553.96%159678515278001720863
11-1280332986400287264234017153410016014515401614523001271198742874687554675114926237880779972943252186549414421905126.84%2335377.25%5901172552.23%954192949.46%614115153.34%154472515768021734887
12-1380352596500290273174019115230014212814401614442001481453792904817714098108786275095988287336272688656615312135425.35%2594483.01%7955193549.35%1023204350.07%614123749.64%157978416358051657818
13-148034271234003363152140151473100160166-640191350300176149278033654187710105118110332251256103190236297499240716812335423.18%1733977.46%3982218145.03%977207847.02%575132043.56%167691716377691556767
14-15803436613003233194401622110001621584401814503001611610743235348573011411098131641197107888273070109864114962185223.85%2274679.74%21010213247.37%1042224646.39%616134445.83%166090816597491516760
15-1680303211430032331013401614721001711432840141842200152167-157132352284510107117954309312021019845273056107755517311994221.11%2726077.94%31051208750.36%1130224150.42%698133352.36%169192316607581514753
16-178038271212002982908402211610001531312240161660200145159-14882984857833186961151254189484279114268587781016292335423.18%3176479.81%10823179145.95%1009213047.37%565125345.09%162184916837811558765
17-1880293194700266284-1840141543400129130-140151651300137154-1767266440706007899854257587687180721255682443116252124923.11%2094578.47%2943183951.28%960195849.03%630123950.85%166689716517621549771
Total Regular Season960420351105414300370034692314802141764925160018931749144480206175561627001807172087945370059659665201311221380115741332191168611216100352823181110742726019524264162123.51%276760578.14%80115842300850.35%118772382249.86%77331541450.17%1944299932494612466195289725