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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
idle_speculation 1 1 1 0.6044311290051924 0.6021896899723299 2016-06-03
beluga 2 2 2 0.5357956964678781 0.5321829006503881 2016-06-10
Victor 4 3 3 0.5330529238391136 0.5313439768677621 2016-06-10
Ala Mode ○○ 3 4 4 0.5333551946982632 0.5299484138252867 2016-06-10
Medrr 5 5 5 0.5285092719413862 0.5258550506500393 2016-06-10
Mattias Fagerlund 6 6 6 0.5217080789581438 0.5188092729190206 2016-06-10
fakeplastictrees 7 7 7 0.5214664003841122 0.5186668733758838 2016-06-09
AG100 ○○ 8 8 8 0.521413207026674 0.5186516077963318 2016-06-10
Gert 9 9 9 0.5212332256443505 0.5180368464759451 2016-06-10
José A. Guerrero (Datrik Intel.. 10 10 10 0.5194703472681361 0.5158364349586736 2016-06-10
dynamic24 ( GridCure ) 11 11 11 0.5179866550966563 0.5149547041944283 2016-06-10
Mark & SRK ○○ 12 12 12 0.5153943470613624 0.5123094129029838 2016-06-10
Viper 13 13 13 0.5149037290989678 0.5112879159574966 2016-06-06
kaggle buddy ○○○○ 14 14 14 0.5126349613736024 0.5094109129689183 2016-06-09
Li-Der 16 15 15 0.5114479168762529 0.5090062662136504 2016-06-04
SY & Pawel ○○ 15 16 16 0.5114574466951369 0.507824213387195 2016-06-10
David Shinn 17 17 17 0.5111518808468514 0.507565589522744 2016-06-10
Sparse Woodman 18 18 18 0.510373237427396 0.5072947393349676 2016-06-10
Andrey Kiryasov 20 19 19 0.5099076771668009 0.5061578001568521 2016-06-09
Rinn Ne Gann 26 20 20 0.5085851435056217 0.5060928867944554 2016-06-10
Expedio Patronum ○○○○○ 19 21 21 0.5100135903503443 0.5060519607856059 2016-06-10
Owen 21 22 22 0.5099297161060653 0.5060242807854156 2016-06-10
vtKMH 22 23 23 0.5096677940659121 0.5058453210703078 2016-06-09
denisewu 24 24 24 0.5087788178367949 0.5052871077331273 2016-06-07
Volo 23 25 25 0.5091154591813621 0.5051907128254777 2016-06-10
Gaurav Dixit 25 26 26 0.5086480837171684 0.5050982283613115 2016-06-10
Evgeny Patekha 27 27 27 0.5083209919219243 0.5050922785472615 2016-06-10
Andaman 28 28 28 0.5081348546317619 0.5049895774306669 2016-06-09
TheBigData ○○ 30 29 29 0.5078234091022726 0.5047955798327668 2016-06-10
aaavvv 29 30 30 0.5080544924118375 0.5042311493853877 2016-06-10
yecloud 32 31 31 0.5072840568695202 0.5039405885822397 2016-06-09
Branden Murray 38 32 32 0.5063445114359361 0.5039244617152379 2016-06-09
Darragh 31 33 33 0.5074460835206513 0.5038898221155392 2016-06-10
Mike Kim AKA numbaoneoverfiTTT.. 34 34 34 0.5071728164580386 0.5038533411424633 2016-06-10
Pepan 33 35 35 0.5072771709341488 0.5038435204843028 2016-06-05
Manel 35 36 36 0.5070196882505879 0.503604201341079 2016-06-09
YijunMa 37 37 37 0.5065397444745539 0.5033281834278432 2016-05-23
Ricardo Merino Raldua 36 38 38 0.5065501621647458 0.5030323163013426 2016-06-09
Chen Ken 44 39 39 0.505580093688168 0.5024115754673204 2016-06-10
Li Li & Qingchen ○○ 39 40 40 0.505960753719868 0.5023154280560699 2016-06-01
alno 42 41 41 0.5056627643735354 0.5022947373549362 2016-06-05
Subhajit Mandal 49 43 42 0.505128265837342 0.5022508017895263 2016-06-05
Andriy Gryshchuk 75 44 43 0.5038322499329875 0.5021211136627419 2016-06-01
LIN China 45 45 44 0.5055626124883512 0.5020989973821884 2016-06-10
eipiplus1 40 46 45 0.5058873563571948 0.5020391428467186 2016-06-10
LoicQuertenmont 47 47 46 0.5052452083557508 0.5019895544630016 2016-05-31
James Trotman 41 48 47 0.5057604499494883 0.5019029010146066 2016-06-10
NimaShahbazi 43 49 48 0.5055592583077971 0.5018461352345338 2016-06-01
Adam Harasimowicz 51 50 49 0.5050422804323649 0.5017477207560288 2016-06-09
Ed 55 51 50 0.5049096127262904 0.5016947070217755 2016-06-09
n_m 46 52 51 0.5052686086977222 0.5013846039008851 2016-06-02
Ires 48 53 52 0.5051705285122982 0.5013515284786288 2016-06-10
magzhan 53 54 53 0.5050235956736482 0.5012412539714328 2016-06-09
yernar 52 55 54 0.5050243848926016 0.5012407094792976 2016-06-10
AL 54 56 55 0.5049972160301268 0.5012238005235357 2016-06-05
CPMP 57 57 56 0.5047829233538005 0.5011714302799711 2016-06-06
olivier 58 58 57 0.5047767477154914 0.5011469677333076 2016-06-08
Analytics-In-Genes ○○○ 56 59 58 0.5048413058258786 0.5011301874756829 2016-06-10