TOP 200 effective Steemit curators in Spanish category for the last week (2019.02.18-2019.02.24)

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	kr	315	1198	2962,35	2,49
2	spanish	556	1220	1461,343	1,228
3	deutsch	216	654	819,861	0,689
4	india	20	52	532,422	0,448
5	cn	92	281	351,855	0,296
6	ita	43	112	296,573	0,249
7	pt	52	148	273,286	0,23
8	tr	50	133	252,449	0,212
9	pakistan	2	4	249,115	0,209
10	polish	89	203	194,758	0,164

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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552 authors published their posts during this week.

10198 accounts participated in the content curating according to information from the database.

80103 votes were made during this week.

1496,69 SBD - is the total author rewards for this week.

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TOP-200 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@cervantes	168	127	15	90,76	6,06	20,88
2	@wackou	205	151	7	41,92	2,8	11,47
3	@steempress-io	107	45	5	104,96	7,01	8,56
4	@pgarcgo	168	127	15	25,43	1,7	5,85
5	@delegate.lafona	149	116	15	22,54	1,51	4,74
6	@heiditravels	167	126	15	15,12	1,01	3,45
7	@gargon	168	127	15	14,03	0,94	3,23
8	@votovzla	46	38	66	30,83	2,06	2,12
9	@curie	53	45	3	23,84	1,59	1,94
10	@jgcastrillo19	168	127	15	5,75	0,38	1,32
11	@planter	42	38	35	18,37	1,23	1,26
12	@done	58	16	26	40,09	2,68	1,16
13	@wartrapa	168	127	15	4,93	0,33	1,13
14	@blocktrades	8	8	18	62,61	4,18	0,91
15	@templo	77	34	26	14,12	0,94	0,87
16	@dineroconopcion	97	34	14	13,94	0,93	0,86
17	@pdq	37	15	26	24,52	1,64	0,67
18	@btu	57	16	26	22,44	1,5	0,65
19	@titin	168	127	15	2,84	0,19	0,65
20	@bcc	56	15	26	21,63	1,45	0,59
21	@steemitboard	167	144	1	1,48	0,1	0,39
22	@hendrikdegrote	53	45	3	4,02	0,27	0,33
23	@talentclub	48	30	13	5,51	0,37	0,3
24	@tombstone	56	46	1	3,5	0,23	0,29
25	@travellit	98	34	16	3,78	0,25	0,23
26	@ctime	141	94	1	1,31	0,09	0,22
27	@repollo	98	34	16	3,29	0,22	0,2
28	@steemrant	57	16	27	5,75	0,38	0,17
29	@arcange	68	50	4	1,5	0,1	0,14
30	@theycallmedan	5	3	34	24,39	1,63	0,13
31	@c-squared	50	40	16	1,6	0,11	0,12
32	@smartmarket	7	3	61	19,63	1,31	0,11
33	@steempress	107	45	5	1,3	0,09	0,11
34	@vact	53	45	3	1,27	0,08	0,1
35	@partiko	36	32	1	1,51	0,1	0,09
36	@mayvileros	59	41	45	1,23	0,08	0,09
37	@mdcomes	168	127	15	0,37	0,02	0,09
38	@bytzz	59	16	26	2,79	0,19	0,08
39	@kevinwong	41	34	1	1,34	0,09	0,08
40	@upheaver	98	34	16	1,19	0,08	0,07
41	@steemmonsters	11	9	10	3,49	0,23	0,06
42	@ocd	8	8	24	3,91	0,26	0,06
43	@youdontsay	51	18	52	1,81	0,12	0,06
44	@eforucom	54	35	4	0,96	0,06	0,06
45	@bluesniper	172	117	1	0,23	0,02	0,05
46	@canadian-coconut	6	3	21	8,52	0,57	0,05
47	@accelerator	129	104	1	0,27	0,02	0,05
48	@supu	47	31	3	0,86	0,06	0,05
49	@operahoser	82	45	37	0,6	0,04	0,05
50	@eddiespino	98	33	12	0,64	0,04	0,04
51	@provenezuela	20	8	100	2,89	0,19	0,04
52	@fuzzyvest	3	3	83	6,47	0,43	0,04
53	@steemitvenezuela	24	20	96	1,06	0,07	0,04
54	@qubes	18	13	44	1,57	0,1	0,04
55	@sponge-bob	59	17	28	1,34	0,09	0,04
56	@jhelbich	58	15	72	1,37	0,09	0,04
57	@entropia	22	18	100	0,97	0,06	0,03
58	@steem-ua	19	12	2	1,58	0,11	0,03
59	@bdvoter	10	1	100	15,53	1,04	0,03
60	@la-colmena	46	38	98	0,45	0,03	0,03
61	@onthewayout	15	12	100	1,4	0,09	0,03
62	@tincho	37	37	2	0,43	0,03	0,03
63	@steemstem	5	5	29	3,03	0,2	0,03
64	@warofcraft	37	30	20	0,57	0,04	0,03
65	@ylich	55	44	59	0,42	0,03	0,03
66	@chbartist	10	1	100	15,08	1,01	0,03
67	@engranaje	27	21	70	0,76	0,05	0,03
68	@reseller	16	14	8	0,8	0,05	0,02
69	@sacra97	33	27	100	0,33	0,02	0,02
70	@msp-active	6	6	92	1,58	0,11	0,02
71	@raphaelle	67	49	14	0,2	0,01	0,02
72	@mayvil	56	41	43	0,29	0,02	0,02
73	@utopian-io	1	1	20	12,02	0,8	0,02
74	@juanfb	124	83	14	0,11	0,01	0,02
75	@moisesmcardona	24	9	65	1,1	0,07	0,02
76	@cyclope	51	14	69	0,93	0,06	0,02
77	@steeming-hot	163	124	3	0,09	0,01	0,02
78	@msp-curation	4	4	90	2,82	0,19	0,02
79	@esteemapp	8	6	3	2,26	0,15	0,02
80	@hosgug	45	15	69	0,83	0,06	0,02
81	@steemraiser	21	6	30	2,18	0,15	0,02
82	@purapapita	173	127	15	0,09	0,01	0,02
83	@pastorencina	56	15	45	0,56	0,04	0,02
84	@sevillaespino	88	31	11	0,34	0,02	0,02
85	@fyrstikken	1	1	100	10,42	0,7	0,02
86	@pdc	26	13	97	0,94	0,06	0,02
87	@whalestrail	12	7	98	0,96	0,06	0,01
88	@qurator	14	7	2	1,07	0,07	0,01
89	@yehey	29	25	10	0,24	0,02	0,01
90	@delicarola	38	11	100	0,38	0,03	0,01
91	@helpie	13	9	5	0,5	0,03	0,01
92	@don.quijote	24	23	70	0,24	0,02	0,01
93	@fbslo	52	37	7	0,09	0,01	0,01
94	@mosqueteros	20	19	100	0,37	0,02	0,01
95	@naza3783	40	12	100	0,33	0,02	0,01
96	@crimsonclad	17	13	9	0,28	0,02	0,01
97	@elteamgordo	109	41	7	0,19	0,01	0,01
98	@luxbet	16	10	18	0,34	0,02	0,01
99	@newmanjosue	52	14	100	0,52	0,03	0,01
100	@fridakahlo	18	17	85	0,18	0,01	0,01
101	@ordosjc	46	13	80	0,47	0,03	0,01
102	@abigail-dantes	5	5	29	1,26	0,08	0,01
103	@curatorhulk	3	3	8	1,87	0,12	0,01
104	@egonz	52	13	50	0,52	0,03	0,01
105	@sbi4	11	9	40	0,44	0,03	0,01
106	@celfmagazine	6	6	100	0,68	0,05	0,01
107	@optimizer	29	17	8	0,17	0,01	0,01
108	@mshahabi	5	5	67	0,64	0,04	0,01
109	@aleor	45	12	100	0,45	0,03	0,01
110	@slwzl	27	13	100	0,27	0,02	0,01
111	@emeeseese	14	10	100	0,4	0,03	0,01
112	@ramta	2	1	45	5,01	0,33	0,01
113	@veronicabracho	51	15	100	0,38	0,03	0,01
114	@danieli98	33	10	100	0,33	0,02	0,01
115	@sbi3	14	10	31	0,53	0,04	0,01
116	@howo	7	7	22	0,45	0,03	0,01
117	@ramonycajal	17	17	91	0,3	0,02	0,01
118	@mati14	39	14	100	0,3	0,02	0,01
119	@radiosteemit	15	8	100	0,7	0,05	0,01
120	@magicdice	1	1	75	4,55	0,3	0,01
121	@comandoyeya	55	14	70	0,43	0,03	0,01
122	@bert0	15	11	21	0,44	0,03	0,01
123	@devsup	18	17	7	0,18	0,01	0,01
124	@pepitagold	51	12	55	0,39	0,03	0,01
125	@lanzjoseg	17	11	87	0,36	0,02	0,01
126	@lamari	96	33	14	0,1	0,01	0,01
127	@cryptopassion	1	1	22	2,83	0,19	0,01
128	@we-are-venezuela	20	12	99	0,4	0,03	0,01
129	@ysmael20	39	14	100	0,39	0,03	0,01
130	@help.venezuela	20	5	86	0,63	0,04	0,01
131	@hendersonp	98	34	16	0,11	0,01	0,01
132	@simon.bolivar	18	17	88	0,18	0,01	0,01
133	@steemchoose	99	38	1	0,13	0,01	0,01
134	@jorge090202	21	12	50	0,35	0,02	0,01
135	@caturrox	96	34	14	0,1	0,01	0,01
136	@demotruk	3	1	100	3,19	0,21	0,01
137	@guifaquetti	96	34	14	0,17	0,01	0,01
138	@jonatansanders	35	9	85	0,5	0,03	0,01
139	@karen16	44	11	100	0,44	0,03	0,01
140	@jphamer1	4	1	74	4,64	0,31	0,01
141	@candyboy	2	1	100	5,46	0,36	0,01
142	@fullcolorpy	51	14	75	0,28	0,02	0,01
143	@yris	27	8	100	0,47	0,03	0,01
144	@juancar347	48	29	13	0,2	0,01	0,01
145	@delso	2	1	52	2,86	0,19	0,01
146	@dresden	48	30	13	0,17	0,01	0,01
147	@kaylinart	8	4	100	0,88	0,06	0,01
148	@namiks	5	2	100	2,95	0,2	0,01
149	@sancho.panza	18	16	81	0,18	0,01	0,01
150	@creativecrypto	13	12	10	0,35	0,02	0,01
151	@choogirl	49	40	8	0,12	0,01	0,01
152	@bhuz	1	1	100	4,4	0,29	0,01
153	@teo	168	127	15	0,04	0	0,01
154	@jhonny34	42	13	100	0,36	0,02	0,01
155	@alexicp	93	33	14	0,17	0,01	0,01
156	@ppita	96	34	14	0,15	0,01	0,01
157	@jcrodriguez	97	33	15	0,19	0,01	0,01
158	@ghasemkiani	6	4	62	1,09	0,07	0,01
159	@kr-coffeesteem	2	2	100	2,28	0,15	0,01
160	@goya	23	22	100	0,23	0,02	0,01
161	@edu-venezuela	7	5	62	0,73	0,05	0,01
162	@arkmy	31	27	97	0,12	0,01	0,01
163	@m00m	18	9	38	0,43	0,03	0,01
164	@steembasicincome	5	2	91	1,85	0,12	0,01
165	@we-are-samerica	29	14	56	0,26	0,02	0,01
166	@onepagex	23	22	6	0,23	0,02	0,01
167	@dearw	55	47	30	0,09	0,01	0,01
168	@sbi5	12	12	31	0,29	0,02	0,01
169	@gabyjc	37	14	100	0,37	0,02	0,01
170	@reyvaj	171	126	17	0,04	0	0,01
171	@endisinsa	3	3	100	0	0	0
172	@rorso	3	3	100	0	0	0
173	@jonyboss	2	2	100	0	0	0
174	@cathouro	1	1	100	0	0	0
175	@tumook	3	3	100	0	0	0
176	@eradest	1	1	100	0	0	0
177	@teattee	3	3	100	0	0	0
178	@junnysak	1	1	100	0	0	0
179	@interour	2	2	100	0	0	0
180	@oresaryas	2	2	100	0	0	0
181	@malekalmsaddi	1	1	57	0,14	0,01	0
182	@ahruprof	2	2	100	0	0	0
183	@neshicati	2	2	100	0	0	0
184	@nadit	2	2	100	0	0	0
185	@edespess	1	1	100	0	0	0
186	@simadrupr	2	2	100	0	0	0
187	@lizette	1	1	100	0,01	0	0
188	@atoninorn	1	1	100	0	0	0
189	@aidenanthony	1	1	100	0	0	0
190	@urimoto	2	2	100	0	0	0
191	@enoullug	2	2	100	0	0	0
192	@yiseced	1	1	100	0	0	0
193	@doutsean	2	2	100	0	0	0
194	@hitalyet	1	1	100	0	0	0
195	@jongartv	2	2	100	0	0	0
196	@edorofofr	2	2	100	0	0	0
197	@acsis	1	1	100	0	0	0
198	@battaiten	1	1	100	0	0	0
199	@urers	2	2	100	0	0	0
200	@ickented	1	1	100	0	0	0

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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	@merlin7	458	292	1	2,62	0,18	1,39
2	@minnowsupport	133	79	4	9,53	0,64	1,36
3	@appreciator	6	4	35	76,41	5,11	0,55
4	@buildawhale	9	7	17	40,71	2,72	0,52
5	@smartsteem	8	4	11	59,67	3,99	0,43
6	@tipu	9	4	14	44,53	2,98	0,32
7	@rocky1	6	4	22	36,85	2,46	0,27
8	@therising	6	2	18	55,18	3,69	0,2
9	@upmewhale	6	1	55	85,51	5,71	0,15
10	@ocdb	1	1	52	42,32	2,83	0,08
11	@promobot	4	4	25	8,02	0,54	0,06
12	@boomerang	5	4	9	6,37	0,43	0,05
13	@steem-plus	48	23	1	0,36	0,02	0,02
14	@jerrybanfield	4	2	11	4,2	0,28	0,02
15	@postpromoter	4	3	7	4,07	0,27	0,02
16	@busy.pay	6	5	1	0,82	0,05	0,01
17	@profitvote	4	2	59	1,43	0,1	0,01
18	@minnowbooster	1	1	100	5	0,33	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.