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Conway's Reverse Game of Life

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Best sub leaderboard

What if every single team had chosen their best sub for final scoring?
This LB is based on that scenario.
Team name Public(final) Private(final) Private(best) Public score Private score Date
Miranda ○ 1 1 1 0.10395850000000001 0.1049038125 2014-03-01
Martin O'Leary ○ 2 2 2 0.10687200000000001 0.107774125 2014-02-21
Cromarty Rockall ○ 3 3 3 0.10909175 0.1100943125 2014-02-26
jgans ○ 4 4 4 0.10968125 0.1106590625 2014-03-02
Crimson4Life ○○○○○○○○○○○○○○○○○○○○○○○○○ 5 5 5 0.11080699999999999 0.111712375 2014-02-23
Glen ○ 6 6 6 0.11191225 0.11294325 2014-03-02
Pear Attack ○○ 7 7 7 0.1127115 0.1136513125 2014-03-02
Coalition of the Awexome for i.. ○○ 8 8 8 0.11368575 0.1146669375 2014-02-22
mushtaq ○ 9 9 9 0.1142045 0.11504925 2014-02-28
Jens ○ 11 11 10 0.115006 0.116061875 2013-12-29
Swedish Chef ○ 12 12 11 0.1151615 0.11617675 2014-03-01
BAYZ ○○ 13 13 12 0.11548425 0.116560625 2014-03-02
dimkadimon ○ 14 14 13 0.11562675 0.1165653125 2014-02-26
Rodney O'Donnell ○ 15 15 14 0.11592525 0.116883875 2014-03-02
Tony Liu ○ 16 16 15 0.11643175 0.117402375 2014-03-02
Veridian Dynamics ○ 17 17 16 0.116879 0.1179110625 2014-03-02
korf ○ 18 18 17 0.11713075 0.118117625 2014-02-23
Alexander D'yakonov ○ 19 19 18 0.1172925 0.118345625 2014-02-26
Quantum Leap ○ 20 20 19 0.117677 0.1187010625 2013-12-30
Cecily ○ 21 21 20 0.1182915 0.11925 2014-02-23
mdda ○ 22 22 21 0.1188745 0.1196833125 2014-03-02
td ○ 23 23 22 0.11912275 0.120217375 2013-11-15
Cédric Gouy-Pailler ○ 24 24 23 0.12003025 0.120996125 2014-03-02
Geoffrey Bower ○ 25 25 24 0.12022275 0.1211901875 2014-01-23
Daniel Marahrens ○ 26 26 25 0.12071725 0.1217346875 2014-02-27
THU_MachineLearning_2013_zzy_t.. ○ 27 27 26 0.12108350000000001 0.1221241875 2014-01-13
KazAnova ○ 29 28 27 0.12248375 0.1234155 2014-03-02
Bram ○ 28 29 28 0.12242750000000001 0.12347625 2014-02-27
Doug Koch ○ 30 30 29 0.12254125 0.123616375 2014-03-02
kewu ○ 31 31 30 0.12272550000000002 0.123749375 2014-02-23
[entropy] ○ 32 32 31 0.123734 0.124779125 2014-03-02
thebusyant ○ 33 34 32 0.12524225 0.1262691875 2014-03-01
Max Patterman ○ 34 33 33 0.12527525 0.126271 2014-02-08
Raul Rios ○ 35 35 34 0.1253515 0.1263508125 2014-01-19
Da_Tang__Mingfei_Zhao ○○ 36 36 35 0.125658 0.1267090625 2014-01-14
SY ○ 37 37 36 0.12623 0.12720925 2014-02-19
Bogdan-Florin Florea ○ 39 39 37 0.126687 0.1277405 2013-12-08
Sandro Vega ○ 41 40 38 0.127235 0.1280736875 2014-02-23
razgon ○ 40 41 39 0.127098 0.1280985625 2014-03-02
Dodo van Oranje ○○ 43 42 40 0.12750799999999998 0.128510375 2014-02-14
Menno ○ 42 43 41 0.12749025 0.128621625 2013-12-03
Alex Sand ○ 44 44 42 0.127768 0.1286771875 2014-01-21
earino ○ 45 45 43 0.128211 0.12919175 2014-02-26
Aqua ○○○○ 46 46 44 0.12921425 0.1301136875 2014-02-21
Sourena ○ 47 47 45 0.1297295 0.130655375 2014-01-24
Yi-Wen PENG ○ 48 48 46 0.12973675 0.1308898125 2014-01-09
NISHIO Hirokazu ○ 49 49 47 0.13001725 0.1309055 2013-12-26
MPRI ○ 50 50 48 0.13029475 0.1312681875 2014-02-21
Tuna ○ 51 51 49 0.13042175 0.131309375 2014-03-02
dangermax ○ 52 52 50 0.130939 0.1318671875 2013-11-20
P&G ○○ 53 53 51 0.13095525 0.1320055625 2014-02-16
rbroberg ○ 54 54 52 0.1314155 0.13231500000000002 2013-11-23
ThierryS ○ 56 55 53 0.13171575 0.1327548125 2014-03-01
Boost.Wu ○ 55 56 54 0.1316455 0.1328173125 2014-02-25
razapor ○ 57 57 55 0.13198775 0.1329136875 2013-11-04
krusty ○ 59 58 56 0.13215675 0.132959875 2014-02-12
Luca Massaron ○ 58 59 57 0.13212825 0.1331678125 2014-02-28
Francis ○ 60 60 58 0.132287 0.1331886875 2013-10-30
valverto ○ 62 61 59 0.13299675 0.1338271875 2014-01-29
Charlie Turner ○ 61 62 60 0.13298375 0.1338871875 2014-02-26
SnowBird ○ 63 63 61 0.1331555 0.133951 2014-02-23
asabau ○ 64 64 62 0.133456 0.1343811875 2014-03-02
kymhorsell ○ 65 65 63 0.13379325 0.1347555625 2013-11-07
DanH ○ 66 66 64 0.1339655 0.1347596875 2014-02-20
BKJ ○ 69 68 65 0.13448025 0.1353643125 2013-10-31
William Powell ○ 68 69 66 0.134474 0.13543575 2014-03-02
Franco Putignani ○ 70 70 67 0.13465225 0.1354369375 2013-12-17
THU_MachineLearning_2013_zzy_t.. ○ 71 71 68 0.13505 0.1358991875 2013-12-21
Isaac Pinyol Catadau ○ 72 72 69 0.13527025 0.13611525 2013-12-27
Karol Piczak ○ 74 73 70 0.1355895 0.1362771875 2014-02-26
Bigman ○ 73 74 71 0.135442 0.1363278125 2013-10-23
Bobby Watson ○ 75 75 72 0.13578025 0.1365205 2013-10-18
Eabani ○ 76 76 73 0.13586575 0.1368199375 2013-12-07
Gabe ○ 77 77 74 0.13605350000000002 0.137005375 2014-03-02
Jack Shih Tzu ○ 78 78 75 0.13681 0.13764925 2013-12-12
TenaciousTerrier ○ 79 79 76 0.13695275 0.1376841875 2013-12-27
marugari ○ 80 80 77 0.13701325 0.137769125 2014-01-18
Migros_Swiss ○ 81 81 78 0.13723675 0.1379763125 2013-11-30
Andrew L Webb ○ 82 82 79 0.137379 0.13812149999999998 2014-02-08
Team 94 ○○○ 83 83 80 0.13745975 0.1381831875 2014-02-26
Darida ○ 85 84 81 0.13895125 0.139861875 2014-02-19
Stephane Soulier ○ 86 85 82 0.139052 0.1400348125 2013-12-29
Attila Egri ○ 84 86 83 0.1389305 0.140057375 2014-03-02
atul rajan ○ 87 87 84 0.14028800000000002 0.1412201875 2014-02-27
Antanas Kascėnas ○ 88 88 85 0.14061975 0.1414539375 2013-12-03
Satya Prakash ○ 89 89 86 0.14081975 0.141665875 2014-03-01
Rajendra Gupta ○ 90 90 87 0.14081975 0.141665875 2014-03-01
terribleName_001 ○ 91 91 88 0.1409825 0.1417618125 2014-02-02
V ○ 92 92 89 0.1416765 0.142547875 2014-03-02
db ○ 93 93 90 0.141991 0.142790375 2014-01-21
naora ○ 94 94 91 0.142123 0.1429333125 2013-10-21
ElementZero ○ 95 95 92 0.14244775 0.143232375 2014-02-17
saraswathi ○ 96 96 93 0.14267375 0.1434840625 2014-02-12