Stars

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Sam Vienneau | Morale : 50 | Team Overall : 63
Next Games #5 vs Silver Knights

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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
# 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
1Thomas Bordeleau0XXX100.005837846867888566696364627063657550640
2Oskar Lindblom0XX100.006938906376798162596061646370714750630
3Scott Reedy0X100.007238906381767260625664616365675950620
4Emilio Pettersen0X100.005738826166828458666359566064664850610
5Peter Holland0X100.007043676079836759645662586173755050610
6Hunter McKown0X100.006838836278817157666155585662644450600
7Ilya Usau0X100.006538885974727858625657545563654550590
8Jake Wise (R)0X100.005936876368766962716154535864666550590
9Karl Henriksson0X100.005736935965738558615657535863656950580
10Vladislav Firstov0X100.006539775874696157595556545863657450570
11Tyson Kozak0X100.005838825667727853605455525662644950560
12Kevin Gravel0X100.007639916087808558306053664772743450660
13Marc Del Gaizo0X100.006938806570858663306658644965675850650
14Santeri Hatakka (R)0X100.006738826376817258306455664863654950640
15Lucas Carlsson0X100.006839746273908261306359605267695150640
16Markus Niemelainen0X100.008035865990747656305453584766686450630
17Cam Dineen0X100.006137926270808458306354564766686350620
18Joe Hicketts0X100.005537746364757862306653554868703650600
19Mark Pysyk0X100.006838885577686654305350564572745050590
Scratches
TEAM AVERAGE100.00653884617478775949595758556668545061
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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
1Spencer Martin100.00818277828079818079818069835550780
2Felix Sandstrom100.00748076837372747372747367775650730
Scratches
1Magnus Chrona100.00747773857372747372747364715850720
2Keith Petruzzelli100.00687874866766686766686765736150690
3Michael Houser100.00677570746665676665676673862750680
4Olof Lindbom (R)100.00637167746261636261636264717350630
TEAM AVERAGE100.0071777381706971706971706777555071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Reirden74707371797470USA5341,000,000$


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
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
Cam DineenD261998-06-19No188 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Emilio PettersenLW242000-04-03No170 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Felix SandstromG271997-01-12No211 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Hunter McKownC222002-08-18No205 Lbs6 ft1NoNoNo1ELCPro & Farm300,000$0$0$NoLink / NHL Link
Ilya UsauC232001-08-03No183 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jake WiseC242000-02-28Yes189 Lbs5 ft10NoNoNo4RFAPro & Farm500,000$0$0$NoNHL Link
Joe HickettsD281996-05-04No180 Lbs5 ft8NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Karl HenrikssonC232001-02-05No179 Lbs5 ft9NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Keith PetruzzelliG251999-02-09No185 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kevin GravelD321992-03-06No205 Lbs6 ft4NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Lucas CarlssonD271997-07-05No189 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Magnus ChronaG242000-08-28No194 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Marc Del GaizoD241999-10-11No188 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mark PysykD321992-01-11No198 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Markus NiemelainenD261998-06-08No190 Lbs6 ft6NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael HouserG321992-09-13No185 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Olof LindbomG242000-07-23Yes185 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoNHL Link
Oskar LindblomLW/RW281996-08-15No191 Lbs6 ft1NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Peter HollandC331991-01-14No193 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Santeri HatakkaD232001-01-15Yes191 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Scott ReedyC251999-04-04No205 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Spencer MartinG291995-06-08No191 Lbs6 ft3NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Thomas BordeleauC/LW/RW222002-01-03No175 Lbs5 ft10NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Tyson KozakC212002-12-29No173 Lbs5 ft11NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Vladislav FirstovLW232001-06-19No181 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.88189 Lbs6 ft12.32440,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Oskar LindblomThomas BordeleauPeter Holland40122
2Emilio PettersenScott ReedyHunter McKown30122
3Vladislav FirstovJake Wise20122
4Thomas BordeleauPeter HollandOskar Lindblom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelMarc Del Gaizo40122
2Santeri HatakkaLucas Carlsson30122
3Markus NiemelainenCam Dineen20122
4Joe HickettsMark Pysyk10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Oskar LindblomThomas BordeleauPeter Holland60122
2Emilio PettersenScott ReedyHunter McKown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelMarc Del Gaizo60122
2Santeri HatakkaLucas Carlsson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Thomas BordeleauOskar Lindblom60122
2Scott Reedy40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelMarc Del Gaizo60122
2Santeri HatakkaLucas Carlsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Thomas Bordeleau60122Kevin GravelMarc Del Gaizo60122
2Oskar Lindblom40122Santeri HatakkaLucas Carlsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Thomas BordeleauOskar Lindblom60122
2Scott Reedy40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelMarc Del Gaizo60122
2Santeri HatakkaLucas Carlsson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Oskar LindblomThomas BordeleauPeter HollandKevin GravelMarc Del Gaizo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Oskar LindblomThomas BordeleauPeter HollandKevin GravelMarc Del Gaizo
Extra Forwards
Normal PowerPlayPenalty Kill
Ilya Usau, Karl Henriksson, Tyson KozakIlya Usau, Karl HenrikssonTyson Kozak
Extra Defensemen
Normal PowerPlayPenalty Kill
Markus Niemelainen, Cam Dineen, Joe HickettsMarkus NiemelainenCam Dineen, Joe Hicketts
Penalty Shots
Thomas Bordeleau, Oskar Lindblom, Scott Reedy, , Peter Holland
Goalie
#1 : Spencer Martin, #2 : Felix Sandstrom


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
8 - 2024-09-235Silver Knights-Stars-
9 - 2024-09-2420Silver Knights-Stars-
16 - 2024-10-0157Stars-Roadrunners-
17 - 2024-10-0264Stars-Roadrunners-
22 - 2024-10-0778Wild-Stars-
23 - 2024-10-0892Wild-Stars-
29 - 2024-10-14118Stars-Eagles-
30 - 2024-10-15133Stars-Eagles-
37 - 2024-10-22165Moose-Stars-
38 - 2024-10-23175Moose-Stars-
43 - 2024-10-28197Stars-Wild-
44 - 2024-10-29207Stars-Wild-
47 - 2024-11-01222Stars-IceHogs-
50 - 2024-11-04236IceHogs-Stars-
51 - 2024-11-05250IceHogs-Stars-
57 - 2024-11-11277Stars-Reign-
58 - 2024-11-12291Stars-Firebirds-
61 - 2024-11-15299Stars-Reign-
63 - 2024-11-17307Stars-Firebirds-
65 - 2024-11-19331Stars-Silver Knights-
66 - 2024-11-20340Stars-Silver Knights-
71 - 2024-11-25358Wolves-Stars-
72 - 2024-11-26369Wolves-Stars-
75 - 2024-11-29384Griffins-Stars-
76 - 2024-11-30392Griffins-Stars-
79 - 2024-12-03416Stars-Admirals-
80 - 2024-12-04426Stars-Griffins-
87 - 2024-12-11453Stars-Moose-
89 - 2024-12-13460Stars-Moose-
92 - 2024-12-16477Roadrunners-Stars-
93 - 2024-12-17490Roadrunners-Stars-
97 - 2024-12-21505Stars-IceHogs-
99 - 2024-12-23517Stars-Admirals-
100 - 2024-12-24530Stars-IceHogs-
107 - 2024-12-31574Admirals-Stars-
108 - 2025-01-01585Admirals-Stars-
114 - 2025-01-07619Stars-Wild-
115 - 2025-01-08631Stars-Wild-
118 - 2025-01-11640Stars-Admirals-
120 - 2025-01-13655Firebirds-Stars-
121 - 2025-01-14671Firebirds-Stars-
127 - 2025-01-20684IceHogs-Stars-
128 - 2025-01-21700IceHogs-Stars-
132 - 2025-01-25716Stars-Moose-
134 - 2025-01-27726Stars-Moose-
141 - 2025-02-03776Eagles-Stars-
142 - 2025-02-04787Eagles-Stars-
145 - 2025-02-07804Griffins-Stars-
146 - 2025-02-08809Griffins-Stars-
149 - 2025-02-11834Wolves-Stars-
150 - 2025-02-12843Wolves-Stars-
153 - 2025-02-15848Stars-Admirals-
156 - 2025-02-18879Stars-IceHogs-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19887Stars-Wolves-
162 - 2025-02-24909Monsters-Stars-
163 - 2025-02-25920Monsters-Stars-
166 - 2025-02-28934Reign-Stars-
167 - 2025-03-01942Reign-Stars-
169 - 2025-03-03954Stars-Wolves-
171 - 2025-03-05975Stars-Wolves-
174 - 2025-03-08985Stars-Griffins-
176 - 2025-03-10992Stars-Monsters-
177 - 2025-03-111005Stars-Monsters-
180 - 2025-03-141025Wild-Stars-
181 - 2025-03-151034Wild-Stars-
184 - 2025-03-181059Admirals-Stars-
185 - 2025-03-191068Admirals-Stars-
190 - 2025-03-241081Stars-Griffins-
191 - 2025-03-251098Stars-Griffins-
192 - 2025-03-261109Stars-Wolves-
197 - 2025-03-311133Moose-Stars-
198 - 2025-04-011147Moose-Stars-



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
36 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
11,156$ 110,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,106$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 197 5,578$ 1,098,866$




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
12825313053622771411364124100034011876424129305022159659413327749977611009910760235907347848231599481132517285128716.99%5426388.38%81711264264.76%1424226962.76%737115663.75%240817441586560981541
137630340244221020643815140034210498638152002100106108-27821035756715081665719130625639626218262199815674166716.11%4177282.73%31082213650.66%1155253245.62%534111248.02%171911991999555887424
147653100236226310216138273012321264878382670113013754831272634667291170106826723420741794793151441576313643705715.41%3173090.54%61456244559.55%1158203856.82%628105759.41%216916011536508905484
158246200354424815197412380323213178534123120031211773441152484547020130898369225207177577581777531109115314306815.81%4434589.84%51490256158.18%1330232757.16%675117257.59%226516271721560987525
168239260841425517976411912052031348648412014032111219328104255475730070968268205606277246771761553123016214298118.88%5156587.38%61449245659.00%1380234558.85%683116558.63%220815781772569986518
17723924023222151546136201301101105743136191101221110803091215375590013082785119670637656653181553096514583677620.71%3824987.17%61146213253.75%1027219046.89%48898949.34%195014221576477829438
1872333403200301323-2236171801000154158-436161602200147165-1874301509810100130987025590794874875242967169715463247924.38%2988272.48%21012213447.42%813197241.23%585124646.95%190514401643431779401
Total Regular Season54229316102524231617691256513271145780111314108726182542711488301411968976382597221769313549044650683596442154480487552285205130773802706910815284851518.08%291440686.07%3693461650656.62%82871567352.87%4330789754.83%146251061411835366463553333
Playoff
1151400000510-53120000036-32020000024-225813000221890373022132391241043738.11%54787.04%07815052.00%10518855.85%316944.93%11373125416029
1220128000005346711650000029272963000002419524539915200014201551301321771544661482814381501812.00%1211290.08%033464351.94%33666150.83%17030855.19%536367499169274142
13734000002329-6321000001174413000001222-10623456801010851600425761268746410930826.67%331457.58%04513433.58%7121932.42%5011145.05%9564253507026
1451400000710-33030000047-3211000003302712190001411050273936962777921600.00%31680.65%17314450.69%7313753.28%377648.68%13190111376734
15734000009904220000066031200000330691827010306138043384416152901554324.65%45491.11%09520845.67%12623852.94%418150.62%177119184579246
16624000001316-33210000096330300000410-6413223500060613703651431463912911327414.81%47882.98%010618158.56%11518960.85%569260.87%146100146437538
1751400000826-1821100000510-530300000316-13281018000341790272520242597610218422.22%371170.27%02010918.35%4922521.78%228924.72%9664166375825
18514000002129-8211000001011-1303000001118-72213556000858159037635725153449117423.53%20480.00%15413440.30%4915930.82%238826.14%10375149315122
Total Playoff60243600000139175-36311516000007780-329920000006295-334813924938802047434313800381480437176249188512043384312.72%3886682.99%2805170347.27%924201645.83%43091447.05%14019561636469750365