TOP 150 effective Steemit curators in Spanish category for the last week (2019.08.12-2019.08.18)

I want to share with you statistics about the most effective Steemit curators in Spanish category.

This statistic is not about how much the authors or curators have earned. This statistics shows the list of curators, whose contribution to the reward pool distribution is the most significant.

image source

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Once I have published a post where I made a researsh what categories are most profitable on Steemit.

I showed there that Spanish category took one of the largest part of the reward pool on that week. Looks like Spanish is one of the biggest and strongest community on Steemit. So I decided to made a top of the most effective Steemit curators in Spanish category.

This time I even made a last week rating of the national and language communities included in the TOP-100 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	spanish	412	1003	908,975	1,161
2	deutsch	161	517	714,601	0,912
3	cn	89	371	586,085	0,748
4	kr	100	436	459,257	0,586
5	cesky	17	80	398,185	0,508
6	tr	28	80	269,705	0,344
7	polish	57	175	195,379	0,249
8	pt	41	118	174,175	0,222
9	india	20	43	171,62	0,219

You can find an actual information about TOP 50 categories rewards in this post.

The category is a first tag in the post

What does this mean?

You can say that there is nothing interesting in this statistics. That it is clear that the reward pool is distributed by whales. But!

The most interesting thing is how the curator distributes the reward pool. He can vote only for his posts and his comments. He can vote for a selected circle of authors and affiliated accounts. But also he can vote for a large number of authors who publish interesting content.

Thus, an effective curator is a curator who has sufficient Steem Power (he can be an investor or a popular author who has earned his Steem Power by publishing interesting content), devoting time and effort to the content curating at Steemit and distributing a reward pool in favor of the authors. And the efficiency level is estimated by how much SBD curator distributes among as many authors as possible.

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How it works?

Votes - Each curator distributes a certain part of the reward pool with his votes (upvote / flag).

Authors - This part of the pool he distributes between a certain number of authors.

VAS (vote average strength) - For general awareness, we can estimate the average vote strength in percents (%), with which the curator votes.

Contr. (SBD) (Contribution in SBD) - The distributed part of the pool is the contribution of the curator, it is calculated in SBD. In this case, the author's reward is taken into account. The curator's reward is not taken into account.

Share % - The percentage of the curator contribution among the contributions of all curators, we can also estimate for information purposes in %.

Eff. - The effectiveness of the curator is estimated in conventional units and is calculated as follows.

The total number of authors who published their posts for the period under study is determined.
Then the contribution of the curator is divided by the total number of authors, and then multiplied by the number of authors for whom the curator voted for the period.

Thus, we see that, having distributed even a smaller number of SBD between a larger number of authors, the curator can be more effective than other curators. At the same time, having a greater voice power, but not actively voting, supporting a small number of authors, the curator takes a lower position in the rating.

And now, statistics.

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412 authors published their posts during this week.

8270 accounts participated in the content curating according to information from the database.

116351 votes were made during this week.

908,96 SBD - is the total author rewards for this week.

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TOP-150 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@blocktrades	85	71	5	180,89	19,9	31,17
2	@cervantes	167	112	16	69,25	7,62	18,83
3	@wackou	198	130	8	30,92	3,4	9,76
4	@steempress-io	85	29	5	53,36	5,87	3,76
5	@heiditravels	165	111	16	12,68	1,39	3,42
6	@pgarcgo	165	112	16	12,23	1,35	3,32
7	@curie	50	42	3	18,65	2,05	1,9
8	@done	56	12	57	53,28	5,86	1,55
9	@votovzla	40	29	91	17,7	1,95	1,25
10	@jgcastrillo19	164	110	16	4,29	0,47	1,15
11	@planter	40	32	35	14,48	1,59	1,12
12	@gargon	166	112	16	3,47	0,38	0,94
13	@pdq	46	9	55	42,01	4,62	0,92
14	@btu	52	12	56	28,56	3,14	0,83
15	@wartrapa	167	112	16	2,96	0,33	0,8
16	@titin	167	112	16	2,13	0,23	0,58
17	@bcc	34	8	65	21,01	2,31	0,41
18	@templo	51	26	25	6,07	0,67	0,38
19	@talentclub	65	27	12	5,57	0,61	0,37
20	@dineroconopcion	68	36	12	3,72	0,41	0,33
21	@tombstone	55	45	1	2,9	0,32	0,32
22	@steemitboard	134	114	1	0,87	0,1	0,24
23	@mariusfebruary	50	42	1	2,28	0,25	0,23
24	@mayvileros	87	55	59	1,52	0,17	0,2
25	@steemmonsters	7	5	14	12,49	1,37	0,15
26	@repollo	81	44	13	1,37	0,15	0,15
27	@angelesdesteemit	45	37	78	1,51	0,17	0,14
28	@vact	50	42	3	1,28	0,14	0,13
29	@hijosdelhombre	215	123	7	0,4	0,04	0,12
30	@steemrant	35	9	68	5,49	0,6	0,12
31	@arcange	66	49	3	0,94	0,1	0,11
32	@team	45	34	10	1,35	0,15	0,11
33	@warofcraft	84	47	20	0,9	0,1	0,1
34	@esteemapp	16	9	4	4,7	0,52	0,1
35	@la-colmena	44	38	100	1,02	0,11	0,09
36	@celfmagazine	20	20	100	1,87	0,21	0,09
37	@moisesmcardona	46	26	58	1,19	0,13	0,08
38	@sponge-bob	53	23	47	1,43	0,16	0,08
39	@provenezuela	18	15	100	2,25	0,25	0,08
40	@hendrikdegrote	50	42	3	0,74	0,08	0,08
41	@engranaje	44	29	78	1,13	0,12	0,08
42	@canadian-coconut	7	3	26	9,3	1,02	0,07
43	@qubes	35	9	68	2,91	0,32	0,06
44	@accelerator	165	68	0	0,34	0,04	0,06
45	@pdc	41	15	79	1,58	0,17	0,06
46	@onthewayout	24	17	85	1,24	0,14	0,05
47	@operahoser	70	41	35	0,46	0,05	0,05
48	@mdcomes	167	112	16	0,13	0,01	0,04
49	@dearw	62	48	21	0,37	0,04	0,04
50	@steempress	85	29	5	0,59	0,06	0,04
51	@mapxv	64	38	4	0,4	0,04	0,04
52	@jhelbich	73	17	50	0,95	0,1	0,04
53	@ylich	48	39	61	0,45	0,05	0,04
54	@mayvil	72	53	71	0,31	0,03	0,04
55	@theunion	24	17	96	0,66	0,07	0,03
56	@kevinwong	36	29	0	0,36	0,04	0,03
57	@migueliglesias	52	27	40	0,42	0,05	0,03
58	@camiloferrua	27	22	80	0,53	0,06	0,03
59	@fermionico	53	34	50	0,32	0,04	0,03
60	@pastorencina	79	17	45	0,73	0,08	0,03
61	@egonz	75	16	53	0,69	0,08	0,03
62	@rutablockchain	8	8	100	1,43	0,16	0,03
63	@hosgug	37	16	76	0,83	0,09	0,03
64	@msp-curation	4	4	92	2,31	0,25	0,02
65	@historiasamorlez	60	46	43	0,15	0,02	0,02
66	@whalestrail	17	8	53	1,15	0,13	0,02
67	@joshman	53	45	1	0,21	0,02	0,02
68	@cyclope	57	17	68	0,57	0,06	0,02
69	@ordosjc	52	16	80	0,55	0,06	0,02
70	@gabyjc	44	16	100	0,45	0,05	0,02
71	@equipodelta	52	42	45	0,15	0,02	0,02
72	@newmanjosue	55	15	100	0,55	0,06	0,02
73	@map10k	91	54	2	0,15	0,02	0,02
74	@mati14	45	16	100	0,45	0,05	0,02
75	@jhonny34	46	15	100	0,46	0,05	0,02
76	@fullcolorpy	59	17	72	0,58	0,06	0,02
77	@danieli98	52	12	100	0,52	0,06	0,02
78	@veronicabracho	51	17	100	0,51	0,06	0,02
79	@fundition	1	1	70	8,7	0,96	0,02
80	@goya	19	18	100	0,36	0,04	0,02
81	@ysmael20	42	16	100	0,42	0,05	0,02
82	@m00m	29	10	68	0,81	0,09	0,02
83	@paty2005	50	15	100	0,47	0,05	0,02
84	@karen16	49	14	98	0,49	0,05	0,02
85	@bert0	78	54	1	0,12	0,01	0,02
86	@aleor	49	15	100	0,49	0,05	0,02
87	@gustavomonraz	19	17	38	0,47	0,05	0,02
88	@elteamgordo	117	71	5	0,09	0,01	0,02
89	@help.venezuela	21	6	60	1,17	0,13	0,02
90	@dcardozo25	63	52	41	0,17	0,02	0,02
91	@c-squared	36	29	14	0,34	0,04	0,02
92	@flaws	49	18	51	0,49	0,05	0,02
93	@stayoutoftherz	16	14	30	0,7	0,08	0,02
94	@reveur	7	4	100	1,76	0,19	0,02
95	@josevillanueva	64	17	68	0,16	0,02	0,01
96	@guifaquetti	68	36	12	0,07	0,01	0,01
97	@thebumplunderer	31	9	100	0,31	0,03	0,01
98	@eonwarped	8	7	14	0,34	0,04	0,01
99	@dclick	2	2	100	1,94	0,21	0,01
100	@electrodo	5	4	100	0,55	0,06	0,01
101	@juancar347	65	27	12	0,09	0,01	0,01
102	@entropia	12	10	100	0,48	0,05	0,01
103	@helpie	7	6	17	0,58	0,06	0,01
104	@robertoueti	67	35	12	0,06	0,01	0,01
105	@quevedo	16	15	100	0,16	0,02	0,01
106	@avellana	16	14	56	0,15	0,02	0,01
107	@birddroppings	44	10	100	0,41	0,05	0,01
108	@least	22	8	87	0,74	0,08	0,01
109	@don.quijote	20	19	82	0,25	0,03	0,01
110	@delicarola	37	13	100	0,37	0,04	0,01
111	@jonatansanders	43	9	82	0,65	0,07	0,01
112	@roadstories	92	60	27	0,05	0,01	0,01
113	@simnrodrguez	65	27	12	0,1	0,01	0,01
114	@ausbitbank	4	4	30	0,78	0,09	0,01
115	@sacra97	23	18	100	0,23	0,03	0,01
116	@devsup	18	16	7	0,18	0,02	0,01
117	@naza3783	41	11	100	0,41	0,05	0,01
118	@autovoters	25	13	90	0,23	0,03	0,01
119	@steemitvenezuela	13	8	86	0,41	0,05	0,01
120	@raphaelle	66	49	13	0,07	0,01	0,01
121	@dresden	65	27	12	0,08	0,01	0,01
122	@fulltimegeek	4	1	28	2,62	0,29	0,01
123	@radiosteemit	14	12	100	0,51	0,06	0,01
124	@rok-sivante	4	1	100	2,12	0,23	0,01
125	@marybellrg	26	20	98	0,2	0,02	0,01
126	@juanmanuellopez1	43	25	76	0,21	0,02	0,01
127	@bluesniper	87	67	2	0,06	0,01	0,01
128	@emeeseese	31	17	40	0,26	0,03	0,01
129	@sux	14	10	69	0,47	0,05	0,01
130	@thekitchenfairy	15	14	15	0,15	0,02	0,01
131	@jvb71	50	25	34	0,2	0,02	0,01
132	@airbud23	3	3	82	0,98	0,11	0,01
133	@yris	32	10	100	0,61	0,07	0,01
134	@we-are-venezuela	24	14	100	0,24	0,03	0,01
135	@iptrucs	22	19	25	0,22	0,02	0,01
136	@followbtcnews	7	7	23	0,5	0,06	0,01
137	@mmunited	17	13	30	0,16	0,02	0,01
138	@team-mexico	47	33	57	0,16	0,02	0,01
139	@sancho.panza	20	16	82	0,22	0,02	0,01
140	@club12	18	15	84	0,18	0,02	0,01
141	@sevillaespino	31	19	15	0,12	0,01	0,01
142	@ramonycajal	17	14	90	0,34	0,04	0,01
143	@eternalsuccess	44	36	12	0,09	0,01	0,01
144	@zaxan	25	23	68	0,15	0,02	0,01
145	@velazquez	20	20	80	0,2	0,02	0,01
146	@good-karma	16	9	4	0,24	0,03	0,01
147	@abigail-dantes	7	6	16	0,76	0,08	0,01
148	@steemstem	5	4	8	0,57	0,06	0,01
149	@macoolette	50	42	2	0,07	0,01	0,01
150	@simonmaz	170	114	14	0,05	0,01	0,01
151	@altooq	6	2	92	1,3	0,14	0,01
152	@fridakahlo	17	17	90	0,34	0,04	0,01
153	@leveuf	36	20	40	0,13	0,01	0,01
154	@mosqueteros	19	14	100	0,36	0,04	0,01
155	@rafarosado	173	113	6	0,05	0,01	0,01

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I took all vote bots (most of them are working like pay for vote) in the separate table. Because we can't call them effective curators. Their work depends on authors payments and activity.
If you know another bots in the list above please tell me about it.

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@therising	4	3	19	31,31	3,44	0,23
2	@upmewhale	5	3	10	16,09	1,77	0,12
3	@minnowsupport	7	6	28	5,43	0,6	0,08
4	@rocky1	3	2	26	14,68	1,62	0,07
5	@steembasicincome	9	6	78	3,11	0,34	0,05
6	@qurator	18	8	4	1,82	0,2	0,04
7	@smartsteem	2	2	10	8,56	0,94	0,04
8	@sbi2	10	7	61	1,93	0,21	0,03
9	@partiko	21	18	1	0,35	0,04	0,02
10	@sbi4	11	10	30	0,63	0,07	0,02
11	@jerrybanfield	18	9	100	0,83	0,09	0,02
12	@steem-ua	19	9	3	0,97	0,11	0,02
13	@sbi3	11	9	38	0,97	0,11	0,02
14	@buildawhale	1	1	36	6,69	0,74	0,02
15	@appreciator	1	1	24	6,48	0,71	0,02
16	@sbi8	17	13	48	0,43	0,05	0,01
17	@steem-plus	24	13	3	0,37	0,04	0,01
18	@sbi6	12	10	43	0,51	0,06	0,01
19	@sbi7	12	10	61	0,49	0,05	0,01
20	@sbi5	11	9	28	0,41	0,05	0,01
21	@postpromoter	1	1	85	2,72	0,3	0,01

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Now you know all these heroes. Their daily work gives hope to some authors, and some even a decent income. Their work attracts new authors in Steemit.

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Information sources

All information is prepared by querying data from a SteemSQL - SQL database containing information from Steem's blockchain, as well as by calculations based on this data.

Special thanks to @arcange for SteemSQL and for the advice provided to me during the development of this project.