Flyers

GP: 6 | W: 2 | L: 4
GF: 17 | GA: 20 | PP%: 17.86% | PK%: 75.76%
GM : Libre | Morale : 14 | Team Overall : 68
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
1Matthew Tkachuk (R)X100.007044688281889381677984806159588874750
2J.T. Compher (R)X100.006141757573887970837172825374557367700
3Artturi Lehkonen (R)X100.007235757470849569646867766759536871680
4Jesperi Kotkaniemi (R)X100.006535727077829269827066686753519174670
5Brett Howden (R)X100.006735796882827967836964756653518062660
6Colin McdonaldX100.007549676278767475606672506790845261660
7Tom Kuhnhackl (R)X100.007035756580798664566464805864525171660
8Brian FlynnX100.004128957072697363875756816499875868650
9Andy Andreoff (R)X100.008048636575717166746764595668575372630
10Travis Boyd (R)X100.005835766869736868686964665266514731630
11Sam Steel (R)X100.005335727070596170706667675451507861620
12Micheal Haley (R)X100.007565566373705862656261626169532625600
13Zach Werenski (R)X100.006535837382929572307893715677608759730
14Derek Forbort (R)X100.007035756690869564306764805664587968700
15Mark Borowiecki (R)X100.008640766277646980307478725674724369690
16Dylan OlsenX100.006819996080727282507572686780765371690
17Brandon Manning (R)X100.007948736476788374306876725872673569690
18Matt Tennyson (R)X100.007050676377739387448165705864654277690
Scratches
1Iiro Pakarinen (R)X100.007241816277717955545860725574714053620
2Michael LattaX100.006850586176438962825958656279744719610
3Mikhail Vorobyev (R)X100.005335676979565769695859605451506220590
4Jyrki Jokipakka (R)X100.006735966875707179256062726361614620660
5Jacob Larsson (R)X100.006235766180708461305956615852518020610
TEAM AVERAGE100.00673975677774797058676770606861605666
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
1Michael Garnett100.00645077807299999999789399992363810
2Collin Delia (R)100.00807694827983858483795174664271790
Scratches
1Jason Bacashihua100.00715071747095959595738493992619780
2Alex Lyon (R)100.00766897787579818079755170643720750
TEAM AVERAGE100.0073618579748990908976708482324378
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Terry Murray88767779999880CAN691600,000$


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
1Artturi LehkonenFlyers (PHI)RW6347320116279911.11%211819.751124180003110083.33%643001.1800000001
2Matthew TkachukFlyers (PHI)LW6167325520192810213.57%713222.111347230001230055.10%4980001.0600001010
3Jesperi KotkaniemiFlyers (PHI)C64153601212103340.00%111919.972134230001101155.73%13111010.8300000100
4Brett HowdenFlyers (PHI)C6224340713126916.67%811318.94011218000050055.10%9843000.7000000000
5Travis BoydFlyers (PHI)C6123-4205670714.29%47011.7400000000001048.84%4311000.8500000000
6Colin McdonaldFlyers (PHI)RW6123-48012219395.26%17111.9400011000000066.67%311000.8400000000
7Matt TennysonFlyers (PHI)D6033-19510238460.00%713222.12000016000018000.00%043000.4500001000
8Derek ForbortFlyers (PHI)D6022-16014177230.00%415525.92000326000028000.00%028000.2600000000
9J.T. CompherFlyers (PHI)RW61123401118226164.55%313923.280000240002270045.45%1166000.2900000000
10Zach WerenskiFlyers (PHI)D6112-100141512758.33%1715826.41101527000031000.00%037000.2500000000
11Dylan OlsenFlyers (PHI)D6022200676310.00%48914.870000000000000.00%004000.4500000000
12Brian FlynnFlyers (PHI)LW6202-400311133515.38%18414.10000000001130058.82%1722000.4700000010
13Tom KuhnhacklFlyers (PHI)LW61123100141117295.88%210617.80000418000200028.57%1412000.3700000000
14Mark BorowieckiFlyers (PHI)D60112408137630.00%49115.170000000003000.00%032000.2200000000
15Andy AndreoffFlyers (PHI)LW6000-220416350.00%0508.47000010000700100.00%100000.0000000000
16Sam SteelFlyers (PHI)C6000-200056340.00%1386.3700000000000066.67%1211000.0000000000
17Micheal HaleyFlyers (PHI)LW6000-2401133120.00%1447.4300013000010050.00%200000.0000000000
18Brandon ManningFlyers (PHI)D6000-10011810430.00%1413823.04000017000019000.00%015000.0000000000
Team Total or Average10817284508610173190220751207.73%81185617.19561131223000101992154.52%3874249010.4800002121
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
1Collin DeliaFlyers (PHI)42200.9062.99261001313872100.000042000
2Michael GarnettFlyers (PHI)20110.8963.501200076726000.000024010
Team Total or Average62310.9023.15381002020598100.000066010


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alex LyonFlyers (PHI)G271992-12-09 07:25:34Yes201 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
Andy AndreoffFlyers (PHI)LW291991-05-17 23:11:13Yes203 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
Artturi LehkonenFlyers (PHI)RW241995-07-04 08:48:34Yes177 Lbs6 ft0NoNoNo1Pro & Farm839,167$0$0$No
Brandon ManningFlyers (PHI)D301990-06-04 17:11:13Yes205 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Brett HowdenFlyers (PHI)C221998-03-29 03:03:41Yes195 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Brian FlynnFlyers (PHI)LW311988-07-26 05:11:13No184 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
Colin McdonaldFlyers (PHI)RW351984-09-30 05:11:13No215 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
Collin DeliaFlyers (PHI)G251994-06-20 07:49:44Yes208 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Derek ForbortFlyers (PHI)D281992-03-04 05:11:13Yes219 Lbs6 ft4NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$
Dylan OlsenFlyers (PHI)D291991-01-03 11:11:13No225 Lbs6 ft2NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Iiro PakarinenFlyers (PHI)RW281991-08-25 23:11:13Yes212 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
J.T. CompherFlyers (PHI)RW251995-04-08 08:55:06Yes193 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
Jacob LarssonFlyers (PHI)D231997-04-29 08:51:10Yes197 Lbs6 ft2NoNoNo1Pro & Farm894,166$0$0$No
Jason BacashihuaFlyers (PHI)G371982-09-20 17:11:14No189 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$0$0$No
Jesperi KotkaniemiFlyers (PHI)C192000-07-06 03:08:04Yes184 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Jyrki JokipakkaFlyers (PHI)D281991-08-20 23:11:13Yes196 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$
Mark BorowieckiFlyers (PHI)D301989-07-12 11:11:13Yes211 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Matt TennysonFlyers (PHI)D301990-04-23 17:11:13Yes205 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Matthew TkachukFlyers (PHI)LW221997-12-11 08:57:18Yes202 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Michael GarnettFlyers (PHI)G371982-11-25 17:11:14No217 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Michael LattaFlyers (PHI)C291991-05-25 23:11:13No215 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
Micheal HaleyFlyers (PHI)LW341986-03-30 06:40:13Yes205 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Mikhail VorobyevFlyers (PHI)C231997-01-05 08:21:53Yes194 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Sam SteelFlyers (PHI)C221998-02-03 03:05:49Yes186 Lbs5 ft11NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Tom KuhnhacklFlyers (PHI)LW281992-01-21 17:39:57Yes196 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Travis BoydFlyers (PHI)C261993-09-14 07:33:39Yes185 Lbs5 ft11NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Zach WerenskiFlyers (PHI)D221997-07-19 08:59:11Yes209 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2727.52201 Lbs6 ft12.00872,099$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matthew TkachukJesperi KotkaniemiJ.T. Compher35122
2Tom KuhnhacklBrett HowdenArtturi Lehkonen35122
3Brian FlynnTravis BoydColin Mcdonald25122
4Andy AndreoffSam SteelMicheal Haley5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach WerenskiDerek Forbort35122
2Brandon ManningMatt Tennyson35122
3Dylan OlsenMark Borowiecki30122
4Zach WerenskiDerek Forbort0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matthew TkachukJesperi KotkaniemiJ.T. Compher60122
2Tom KuhnhacklBrett HowdenArtturi Lehkonen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach WerenskiDerek Forbort60122
2Brandon ManningMatt Tennyson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matthew TkachukJ.T. Compher60122
2Artturi LehkonenJesperi Kotkaniemi40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach WerenskiDerek Forbort60122
2Brandon ManningMatt Tennyson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matthew Tkachuk60122Zach WerenskiDerek Forbort60122
2J.T. Compher40122Brandon ManningMatt Tennyson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matthew TkachukJ.T. Compher60122
2Artturi LehkonenJesperi Kotkaniemi40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach WerenskiDerek Forbort60122
2Brandon ManningMatt Tennyson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matthew TkachukJesperi KotkaniemiJ.T. CompherZach WerenskiDerek Forbort
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matthew TkachukJesperi KotkaniemiJ.T. CompherZach WerenskiDerek Forbort
Extra Forwards
Normal PowerPlayPenalty Kill
Micheal Haley, Colin Mcdonald, Brian FlynnMicheal Haley, Colin McdonaldBrian Flynn
Extra Defensemen
Normal PowerPlayPenalty Kill
Dylan Olsen, Mark Borowiecki, Brandon ManningDylan OlsenMark Borowiecki, Brandon Manning
Penalty Shots
Matthew Tkachuk, J.T. Compher, Artturi Lehkonen, Jesperi Kotkaniemi, Brett Howden
Goalie
#1 : Collin Delia, #2 : Michael Garnett


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
Total624000001720-332100000131303030000047-340.33317284500465222076656811205818617328517.86%33875.76%08715755.41%7114548.97%538463.10%138781345710954
_Since Last GM Reset624000001720-332100000131303030000047-340.33317284500465222076656811205818617328517.86%33875.76%08715755.41%7114548.97%538463.10%138781345710954
_Vs Conference624000001720-332100000131303030000047-340.33317284500465222076656811205818617328517.86%33875.76%08715755.41%7114548.97%538463.10%138781345710954
_Vs Division624000001720-332100000131303030000047-340.33317284500465222076656811205818617328517.86%33875.76%08715755.41%7114548.97%538463.10%138781345710954

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L1172845220205818617300
All Games
GPWLOTWOTL SOWSOLGFGA
62400001720
Home Games
GPWLOTWOTL SOWSOLGFGA
32100001313
Visitor Games
GPWLOTWOTL SOWSOLGFGA
303000047
Last 10 Games
WLOTWOTL SOWSOL
230100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
28517.86%33875.76%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
766568114652
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8715755.41%7114548.97%538463.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
138781345710954


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 - 2019-10-064Devils5Flyers6WXBoxScore
3 - 2019-10-0812Devils5Flyers3LBoxScore
5 - 2019-10-1020Flyers1Devils2LXBoxScore
7 - 2019-10-1228Flyers1Devils2LBoxScore
9 - 2019-10-1436Devils3Flyers4WXBoxScore
11 - 2019-10-1644Flyers2Devils3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price4525
Attendance4,8502,979
Attendance PCT80.83%99.30%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 2610 - 86.99% 107,332$321,997$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,354,667$ 1,622,167$ 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
14624000001720-332100000131303030000047-3417284500465222076656811205818617328517.86%33875.76%08715755.41%7114548.97%538463.10%138781345710954
Total Playoff624000001720-332100000131303030000047-3417284500465222076656811205818617328517.86%33875.76%08715755.41%7114548.97%538463.10%138781345710954