Elmira Roadrunners

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : McDavid Family Ventures | Morale : 60 | Team Overall : 64
Next Games #3 vs Longueuil Voyageurs
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
1Max Hoven0X96.751199608066897398586392509988181680
2Nicolas Perrault0X100.00411996378957967627081485099604481670
3Nickolas Dushaj0X99.505127457265775782206997455075553876670
4Aron Suttell0X97.50891177538835557389657857509999180660
5Dylan Hinkle (R)0X100.004826996758815667637681485083716674660
6Garrett Tuffey (R)0X100.005626857961757975447189235089425482660
7Brad McGowan0X100.004713877173773751766073885099437872650
8Dave Sankar0X100.004215997667706370536880317081445443630
9Craig Balsinger (R)0X100.004226677358756065405465585099526123610
10Roderick Rose0X98.00361997673773773708572837099586239690
11Kyle Couture0X100.00993831568264823013122835099971181660
12Garrett Minard (R)0X100.003926367264814839144138945062953973650
13Drew Gaeddert (R)0X100.007444527163796554143345735086645081640
14Harry Deveney0X100.005219868074656328152436765099764428620
15Rick Hudelson0X100.004220857469647746183839737090426020610
16Stewart White (R)0X100.005629747362765547254042795071385730610
Scratches
1Lee Demeglio37X95.365621767675697472877892527099574448710
2Erik Dickman0X96.25119964785783916294954809981182690
3Cris Passalacqua0X96.759924515786818869967472525099811181690
4Zeb Knutson (R)0X0.007226858159752747706650915090309213620
5Jamal Hall0X88.504518946767755962383084655097436315600
6Joey Tognazzini0X100.003832547270718739383651767099938018590
7Craig Daniels0X100.004618996573788258703140657098996020590
8Gavin Morrow0X100.004418996767716452434277555093555520590
9Brandon Kupka (R)0X100.00312699706076645874979485096364620590
10Colin Beaton0X100.004518997465755052526559395078734020580
11Nolan Bouwens0X100.004321948457795668692878337061655720580
12Andreas Scheinost0X100.004021827462752844702589727099425320580
13Andy Cibula0X100.00346966076686745585268547080384720570
14Dustin Trivisonno0X95.50419996777708862405369747084952581680
15Ian Brady0X100.008131567972736240454034545079876934610
16Rory Van Steenwyk0X100.00342996476757956566256537095445620600
17Peyton Carkhuff0X100.004321997564726844293642707086435320600
18Kris Meisner0X100.00478997458665470644466427087733720580
TEAM AVERAGE96.00491982706972645850536560599064474563
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
1Joe Wilson98.00624080907797646791687199992156760
2Dion Neubert100.00898366667486786887577586915082760
Scratches
1Chris Rayl (R)100.00767563686284857785615071616317720
2Mark Bollis100.00638982867767646747707098952920710
3Nate Ferber (R)100.00618180746585728383616639795020710
TEAM AVERAGE99.6070747477718473727963667985433973
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Purcell69917557637862CAN421200,000$


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
Andreas ScheinostElmira Roadrunners (Bin)C228/29/1996No180 Lbs6 ft4NoNoNo3ELCPro & Farm252,650$0$0$No
Andy CibulaElmira Roadrunners (Bin)LW2212/21/1996No218 Lbs6 ft1NoNoNo1ELCPro & Farm231,464$0$0$No
Aron SuttellElmira Roadrunners (Bin)RW299/6/1989No264 Lbs6 ft7NoNoNo1UFAPro & Farm490,000$0$0$No
Brad McGowanElmira Roadrunners (Bin)RW284/9/1990No185 Lbs6 ft1NoNoNo1UFAPro & Farm401,538$0$0$No
Brandon KupkaElmira Roadrunners (Bin)LW196/9/1999Yes192 Lbs6 ft4NoNoNo3ELCPro & Farm266,723$0$0$No
Chris RaylElmira Roadrunners (Bin)G1910/23/1999Yes150 Lbs6 ft0NoNoNo4ELCPro & Farm248,010$0$0$No
Colin BeatonElmira Roadrunners (Bin)RW207/9/1998No201 Lbs6 ft4NoNoNo3ELCPro & Farm333,846$0$0$No
Craig BalsingerElmira Roadrunners (Bin)LW184/29/2000Yes182 Lbs6 ft3NoNoNo4ELCPro & Farm274,776$0$0$No
Craig DanielsElmira Roadrunners (Bin)RW202/16/1998No207 Lbs6 ft4NoNoNo2ELCPro & Farm266,132$0$0$No
Cris PassalacquaElmira Roadrunners (Bin)C2911/5/1989No247 Lbs6 ft6NoNoNo1UFAPro & Farm500,000$0$0$No
Dave SankarElmira Roadrunners (Bin)LW218/3/1997No175 Lbs6 ft2NoNoNo2ELCPro & Farm261,508$0$0$No
Dion NeubertElmira Roadrunners (Bin)G255/26/1993No146 Lbs5 ft10NoNoNo2RFAPro & Farm355,000$0$0$No
Drew GaeddertElmira Roadrunners (Bin)D192/9/2000Yes195 Lbs6 ft3NoNoNo4ELCPro & Farm276,408$0$0$No
Dustin TrivisonnoElmira Roadrunners (Bin)D256/12/1993No202 Lbs6 ft3NoNoNo2RFAPro & Farm333,333$0$0$No
Dylan HinkleElmira Roadrunners (Bin)RW1910/20/1999Yes191 Lbs5 ft11NoNoNo4ELCPro & Farm486,538$0$0$No
Erik DickmanElmira Roadrunners (Bin)LW3010/2/1988No208 Lbs6 ft4NoNoNo1UFAPro & Farm350,000$0$0$No
Garrett MinardElmira Roadrunners (Bin)D1910/8/1999Yes194 Lbs6 ft4NoNoNo4ELCPro & Farm340,553$0$0$No
Garrett TuffeyElmira Roadrunners (Bin)RW185/4/2000Yes176 Lbs6 ft5NoNoNo4ELCPro & Farm378,558$0$0$No
Gavin MorrowElmira Roadrunners (Bin)C208/12/1998No195 Lbs6 ft2NoNoNo3ELCPro & Farm301,075$0$0$No
Harry DeveneyElmira Roadrunners (Bin)D219/5/1997No183 Lbs6 ft9NoNoNo2ELCPro & Farm240,648$0$0$No
Ian BradyElmira Roadrunners (Bin)D245/22/1994No199 Lbs6 ft0NoNoNo2RFAPro & Farm264,655$0$0$No
Jamal Hall (Out of Payroll)Elmira Roadrunners (Bin)C2011/25/1998No205 Lbs6 ft6NoNoNo3ELCPro & Farm276,952$0$0$No
Joe WilsonElmira Roadrunners (Bin)G291/12/1990No240 Lbs6 ft11NoNoNo2UFAPro & Farm600,000$0$0$No
Joey TognazziniElmira Roadrunners (Bin)RW214/7/1997No176 Lbs6 ft0NoNoNo1ELCPro & Farm262,124$0$0$No
Kris MeisnerElmira Roadrunners (Bin)D215/22/1997No188 Lbs6 ft7NoNoNo1ELCPro & Farm217,797$0$0$No
Kyle CoutureElmira Roadrunners (Bin)D292/26/1989No235 Lbs6 ft2NoNoNo1UFAPro & Farm455,000$0$0$No
Lee DemeglioElmira Roadrunners (Bin)LW216/4/1997No180 Lbs6 ft5NoNoNo1ELCPro & Farm275,015$0$0$No
Mark BollisElmira Roadrunners (Bin)G293/18/1989No230 Lbs6 ft7NoNoNo1UFAPro & Farm285,500$0$0$No
Max HovenElmira Roadrunners (Bin)C295/26/1989No222 Lbs6 ft3NoNoNo1UFAPro & Farm545,000$0$0$No
Nate FerberElmira Roadrunners (Bin)G214/21/1997Yes180 Lbs6 ft1NoNoNo3ELCPro & Farm280,761$0$0$No
Nickolas DushajElmira Roadrunners (Bin)C2011/8/1998No185 Lbs6 ft1NoNoNo3ELCPro & Farm462,981$0$0$No
Nicolas PerraultElmira Roadrunners (Bin)LW253/15/1993No213 Lbs6 ft4NoNoNo1RFAPro & Farm425,000$0$0$No
Nolan BouwensElmira Roadrunners (Bin)RW212/25/1997No156 Lbs6 ft1NoNoNo3ELCPro & Farm280,761$0$0$No
Peyton CarkhuffElmira Roadrunners (Bin)D206/8/1998No177 Lbs6 ft3NoNoNo2ELCPro & Farm246,334$0$0$No
Rick HudelsonElmira Roadrunners (Bin)D205/16/1998No185 Lbs6 ft5NoNoNo2ELCPro & Farm234,631$0$0$No
Roderick RoseElmira Roadrunners (Bin)D2412/18/1994No174 Lbs6 ft1NoNoNo2RFAPro & Farm420,000$0$0$No
Rory Van SteenwykElmira Roadrunners (Bin)D232/28/1995No206 Lbs6 ft2NoNoNo1RFAPro & Farm217,538$0$0$No
Stewart WhiteElmira Roadrunners (Bin)D194/13/1999Yes195 Lbs6 ft6NoNoNo4ELCPro & Farm254,369$0$0$No
Zeb Knutson (Out of Payroll)Elmira Roadrunners (Bin)C251/1/1994Yes180 Lbs5 ft11NoNoNo4RFAPro & Farm309,538$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3922.67195 Lbs6 ft32.28330,839$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicolas PerraultMax HovenAron Suttell40122
2Dave SankarNickolas DushajDylan Hinkle30122
3Craig BalsingerGarrett Tuffey20122
4Nickolas DushajMax HovenBrad McGowan10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roderick Rose40122
2Kyle CoutureGarrett Minard30122
3Drew GaeddertHarry Deveney20122
4Stewart WhiteRick Hudelson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicolas PerraultMax HovenAron Suttell60122
2Dave SankarNickolas DushajDylan Hinkle40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Roderick Rose60122
2Kyle CoutureGarrett Minard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Max HovenNickolas Dushaj60122
2Nicolas PerraultAron Suttell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Roderick Rose60122
2Kyle CoutureGarrett Minard40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Max Hoven60122Roderick Rose60122
2Nickolas Dushaj40122Kyle CoutureGarrett Minard40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Max HovenNickolas Dushaj60122
2Nicolas PerraultAron Suttell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roderick Rose60122
2Kyle CoutureGarrett Minard40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nicolas PerraultMax HovenAron SuttellRoderick Rose
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nicolas PerraultMax HovenAron SuttellRoderick Rose
Extra Forwards
Normal PowerPlayPenalty Kill
Garrett Tuffey, Brad McGowan, Craig BalsingerGarrett Tuffey, Brad McGowanCraig Balsinger
Extra Defensemen
Normal PowerPlayPenalty Kill
Drew Gaeddert, Harry Deveney, Stewart WhiteDrew GaeddertHarry Deveney, Stewart White
Penalty Shots
Max Hoven, Nickolas Dushaj, Nicolas Perrault, Aron Suttell, Dylan Hinkle
Goalie
#1 : Joe Wilson, #2 : Dion Neubert


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 - 2019-09-023Longueuil Voyageurs-Elmira Roadrunners-
3 - 2019-09-0411Longueuil Voyageurs-Elmira Roadrunners-
5 - 2019-09-0619Elmira Roadrunners-Longueuil Voyageurs-
7 - 2019-09-0827Elmira Roadrunners-Longueuil Voyageurs-
9 - 2019-09-1035Longueuil Voyageurs-Elmira Roadrunners-
11 - 2019-09-1243Elmira Roadrunners-Longueuil Voyageurs-
13 - 2019-09-1451Longueuil Voyageurs-Elmira Roadrunners-



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$ 3,079,056$ 3,079,056$ 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
1680342810440030728819401913431001591411840151561300148147178307490797101071128442762100294578332247585771416202825419.15%3428375.73%31292208462.00%1193199459.83%825127864.55%170894216557781499736
07-088037327220030028020401918210001551421340181451200145138781300486786029010110722491824823826182356794123617112193716.89%2424880.17%10878168252.20%876171351.14%709133553.11%156475015338271737851
08-0980294031700286322-3640151821400149168-1940142210300137154-176128646074610621221011250677491780015247478556017052033718.23%2165076.85%9880175150.26%881176250.00%678137449.34%1563755334617811724854
09-1080293973200277309-3240152140000133142-940141833200144167-236527744572201551171023252174495880316251383564217162114621.80%2136071.83%10792173845.57%797174845.59%581135642.85%1556753509427021736843
10-1180342212570028926425401912522001471371040151073500142127158028947075933771071005258787986980237232278249516812044622.55%1843978.80%3965186251.83%871165052.79%641120653.15%161878615168081742868
11-128035241164003202784240191055100163125384016146130015715348132050682601931121096279392489293839261288033716461894825.40%1663181.33%51016195951.86%902177250.90%619122050.74%162381615637911686848
12-13802534125400292316-2440111753400145160-1540141772000147156-9622924717632092871085272792490286437273589142117372093818.18%1974875.63%6961197148.76%987199049.60%703130154.04%160581916297991643804
13-148035261135003082901840191243200161144174016147030014714618130850281012851141063276387494890536297396349516952385422.69%2074080.68%2995199149.97%975201748.34%621122450.74%159482316687961604783
14-1580353652200324330-6402114221001851582740142230100139172-3375324534858009911111223236115310601006172950102047118092274821.15%1674274.85%31205216655.63%1108197456.13%755133956.39%172497816147391490742
15-1680244533500291330-3940122202400144158-1440122331100147172-2551291468759001011038432964113898782316286896157315702074421.26%2495777.11%41155202457.07%1194206357.88%718127656.27%163285416297681568791
16-17803427132400312280324015176020015815444019107220015412628813124998114010511095229191019103584718254682354416232305021.74%2464681.30%101171199058.84%1065179559.33%741127957.94%172996616197621525760
17-18803134101400267264340161651200147140740151850200120124-472267441708319487851264296781983818246176855016532486225.00%2455477.96%61090193456.36%1007175857.28%670118056.78%168590516257701546774
Total Regular Season96038238710437500035733551224802001904423230018461769774801821976014270017271782-55868357357729345151010601283119337329111122211155102352993128510359703820166266756421.15%267459877.64%71124002315253.56%118562223653.32%82611536853.75%19606101512449712325195079660