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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
pampampampam (ooc) ○	1	1	1	0.8068291470136629	0.8072498120356044	2014-01-03
Dataiku Data Science Studio ○○○○	2	2	2	0.8064671675625773	0.807143936199658	2014-01-10
LR ○	3	3	3	0.8057349046207614	0.8063612793012775	2014-01-10
learner ○	4	4	4	0.8043807927928421	0.8047584598626383	2014-01-08
DenXX ○	5	5	5	0.8037816768193204	0.804259480149285	2014-01-10
YS-L ○	6	6	6	0.8033393772668782	0.8039083194706002	2014-01-10
lucky guy ○	8	7	7	0.8027789424497155	0.8032207675970221	2014-01-10
Gábor S ○	7	8	8	0.8027929681774963	0.8032037999854065	2014-01-10
Vermillion Team 3 ○○○○○	9	9	9	0.8025006145801551	0.8028983721851307	2014-01-10
Ruslan Mavlyutov (ooc) ○	10	10	10	0.8014805644829772	0.801916492538498	2014-01-10
Bazingaaa ○○	11	11	11	0.8010973179053555	0.8016302800836241	2014-01-08
E. G. Ortiz-García ○	12	12	12	0.8004379002849628	0.8008093252979495	2013-11-22
Anton Kochnev ○	13	13	13	0.8001748317130148	0.8007310813950455	2014-01-10
blue_maple ○	14	14	14	0.7996793306544733	0.8000764560445975	2013-12-22
DB2(walt) ○	15	15	15	0.7995640594195782	0.8000723485597403	2014-01-09
camcamcam ○○	16	16	16	0.7993277032149332	0.7997191950193425	2014-01-07
AIMORE ○	17	17	17	0.7991407069737342	0.7996188162870927	2013-12-15
Martin Martin ○	18	18	18	0.7988680290429819	0.7994129653546795	2014-01-05
DerivedByData ○	19	19	19	0.7986342665367321	0.7991669958023646	2014-01-10
Montblanc ○	20	20	20	0.7984759309214906	0.7989151436273468	2014-01-09
arnav ○	22	21	21	0.7982692143668831	0.7988083047432354	2014-01-10
James King ○	21	22	22	0.7983603689083818	0.7987232854616253	2014-01-08
gaddawin ○	24	23	23	0.7980536238793465	0.7984775642194026	2013-12-19
Chun-Hao Chang ○	23	24	24	0.7980615468946989	0.7984125103486961	2014-01-10
Richard Hughes ○	25	25	25	0.7978614351587001	0.7983969947204137	2014-01-08
yi zhan ○	26	26	26	0.797484625573228	0.7979830946603427	2014-01-06
DuckTile ○	28	27	27	0.7973497507568599	0.7978797896518325	2014-01-10
bart ○	27	28	28	0.7974261823857594	0.7978612939307388	2013-12-05
Yu Xu ○○	29	29	29	0.7973019684909038	0.7978581433001619	2014-01-10
mathintelligence ○	31	30	30	0.7972015894242833	0.797622735831265	2014-01-02
orchid ○	30	31	31	0.7972192299650027	0.7976164916384589	2014-01-10
Waterloo ○○	35	32	32	0.7967827023124762	0.7973323570532216	2014-01-10
Vogue Merry ○○○	33	33	33	0.7968470707197481	0.7973309747806253	2014-01-10
Panda ○○○○○	32	34	34	0.7969466827285414	0.7973002602782245	2014-01-10
Fellows ○	34	35	35	0.7968072442340323	0.7972918170904383	2014-01-09
Fluttershy ○	36	36	36	0.7967097823868484	0.7972429017926914	2013-11-04
flyer ○	38	37	37	0.7966377223543027	0.7972311932576388	2014-01-10
Viandox ○○○○	37	38	38	0.7967056502581399	0.7972022318761199	2014-01-10
Luca Massaron ○	40	39	39	0.7964914010162173	0.7970085451347521	2014-01-10
Wei Yuan ○	39	40	40	0.7965528263103171	0.7969624019132779	2013-12-20
Alberto Bosko Boschetti ○	41	41	41	0.7964285578660943	0.7969183908444233	2014-01-05
Quentin Jerome ○	43	42	42	0.7963806761465257	0.7969034753155054	2013-12-23
Alexandru Stanciu ○	42	43	43	0.7964191318343333	0.7968859212424577	2014-01-10
shantou_datamining ○○○	44	44	44	0.7962937319252749	0.7967799438374915	2014-01-10
vbs 0711 ○	46	45	45	0.7962009256247891	0.7967363549124375	2013-12-25
loser ○	47	46	46	0.7961281920477574	0.7966745942241366	2013-12-26
Joao Palotti ○	45	47	47	0.7962040013515923	0.7966378661191214	2014-01-04
radium ○	50	48	48	0.7960489538001999	0.7965379981576485	2013-11-25
VASAPTEX ○	49	49	49	0.7960727302519778	0.7965030553672224	2014-01-08
IDEAS ○○○○	51	50	50	0.7959534303650344	0.7964911914723733	2014-01-10
Kinnskogr & Miroslaw ○○	48	51	51	0.7960896581445395	0.7964887741314833	2014-01-09
Silogram ○	52	52	52	0.7956943480992535	0.7964702369578329	2013-12-05