TOP 200 effective Steemit curators in Spanish category for the last week (2018.07.09-2018.07.15)

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	882	3207	9466	2,262
2	spanish	1385	2841	4682	1,119
3	deutsch	291	866	3083	0,737
4	tr	186	562	2498	0,597
5	cn	189	593	2066	0,494
6	ita	102	292	1865	0,446
7	japanese	111	334	1298	0,31
8	pt	97	291	1034	0,247
9	indonesia	335	741	874	0,209
10	stem-espanol	43	52	869	0,208
11	polish	164	378	816	0,195
12	fr	94	222	775	0,185

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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1385 authors published their posts during this week.

12607 accounts participated in the content curating according to information from the database.

99123 votes were made during this week.

4680,53 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	162	133	21	431,39	9,22	41,43
2	@wackou	174	144	11	289,67	6,19	30,12
3	@lafona-miner	166	138	21	212,9	4,55	21,21
4	@pgarcgo	161	132	21	132,26	2,83	12,61
5	@heiditravels	160	132	21	129,43	2,77	12,34
6	@gargon	160	131	21	92,43	1,97	8,74
7	@hr1	363	287	0	39,51	0,84	8,19
8	@steempress-io	55	31	7	301,35	6,44	6,75
9	@done	77	14	37	358,98	7,67	3,63
10	@jgcastrillo19	161	133	21	30,19	0,65	2,9
11	@wartrapa	161	133	21	21,8	0,47	2,09
12	@beanz	39	36	50	74,98	1,6	1,95
13	@titin	161	133	21	15,27	0,33	1,47
14	@planter	29	26	35	57,92	1,24	1,09
15	@talentclub	93	41	14	33,97	0,73	1,01
16	@tincho	151	131	2	9,71	0,21	0,92
17	@hendrikdegrote	26	26	2	41,97	0,9	0,79
18	@bue	140	124	100	8,51	0,18	0,76
19	@anomadsoul	19	7	28	102,29	2,19	0,52
20	@mdcomes	160	133	21	3,89	0,08	0,37
21	@ausbitbank	24	21	6	22,11	0,47	0,34
22	@dineroconopcion	45	18	14	24,15	0,52	0,31
23	@tashidelek	23	14	52	27,84	0,59	0,28
24	@aneblueberry	159	131	21	2,6	0,06	0,25
25	@delega	54	37	31	9,01	0,19	0,24
26	@teo	160	132	21	2,43	0,05	0,23
27	@nelyp	131	99	11	3,22	0,07	0,23
28	@dulcinea	161	133	21	2,16	0,05	0,21
29	@sndbox	11	10	10	23,25	0,5	0,17
30	@bcc	32	13	11	18,34	0,39	0,17
31	@mauriciovite	86	54	20	4,42	0,09	0,17
32	@mosqueteros	62	42	55	5,22	0,11	0,16
33	@btu	31	12	10	17,25	0,37	0,15
34	@utopian-io	4	4	4	45,59	0,97	0,13
35	@davidding	7	5	30	33,13	0,71	0,12
36	@mythologyupvote	39	21	40	7,08	0,15	0,11
37	@provenezuela	23	20	61	7,46	0,16	0,11
38	@gabox	166	136	13	1,1	0,02	0,11
39	@dresden	78	41	15	3,49	0,07	0,1
40	@blodit	23	17	45	8,06	0,17	0,1
41	@kryptoniabot	42	14	12	10,29	0,22	0,1
42	@barbro	10	7	82	18,52	0,4	0,09
43	@steemrant	33	7	26	15,53	0,33	0,08
44	@ivan-perez-anies	93	40	14	2,94	0,06	0,08
45	@votovzla	41	30	73	3,04	0,06	0,07
46	@youdontsay	72	13	47	7,65	0,16	0,07
47	@kryptonia	42	14	12	6,56	0,14	0,07
48	@curie	26	26	2	3,15	0,07	0,06
49	@lola-carola	203	157	6	0,55	0,01	0,06
50	@bebeth	39	35	53	2,36	0,05	0,06
51	@bhuz	3	3	48	27,08	0,58	0,06
52	@chronoboost	13	11	15	8,05	0,17	0,06
53	@rafarosado	158	130	8	0,66	0,01	0,06
54	@tombstone	16	15	0	5,83	0,12	0,06
55	@simon.bolivar	22	21	84	3,62	0,08	0,05
56	@marketstack	62	55	1	1,19	0,03	0,05
57	@noticias	160	132	21	0,53	0,01	0,05
58	@dick.sledge	61	54	1	1,16	0,02	0,05
59	@cuvi	160	132	11	0,5	0,01	0,05
60	@eturnerx	44	20	14	3,26	0,07	0,05
61	@anahilarski	73	7	93	8,94	0,19	0,05
62	@ocd	5	5	45	15,18	0,32	0,05
63	@warofcraft	31	27	20	2,22	0,05	0,04
64	@reimerlin	161	134	22	0,4	0,01	0,04
65	@bytzz	33	7	24	7,47	0,16	0,04
66	@aniestudio	93	40	14	1,4	0,03	0,04
67	@spanishchef	161	133	21	0,46	0,01	0,04
68	@sancho.panza	15	14	88	2,96	0,06	0,03
69	@surpassinggoogle	8	6	2	7,01	0,15	0,03
70	@jhelbich	52	13	65	2,93	0,06	0,03
71	@handmade	67	16	48	2,33	0,05	0,03
72	@xaero1	2	2	33	18,83	0,4	0,03
73	@alfanso	12	10	7	4,83	0,1	0,03
74	@xeldal	1	1	70	38,25	0,82	0,03
75	@maastro	161	133	20	0,3	0,01	0,03
76	@marpa	98	46	15	0,77	0,02	0,03
77	@goya	19	19	81	2,09	0,04	0,03
78	@frida.kahlo	19	19	83	2,13	0,05	0,03
79	@kevinwong	16	15	1	2,98	0,06	0,03
80	@melip	30	10	43	3,66	0,08	0,03
81	@aarauz	86	28	64	1,35	0,03	0,03
82	@decomoescribir	93	41	14	0,97	0,02	0,03
83	@vact	26	26	2	1,67	0,04	0,03
84	@soymanu	164	135	23	0,32	0,01	0,03
85	@steemed-proxy	1	1	100	36,98	0,79	0,03
86	@onthewayout	19	13	58	3,64	0,08	0,03
87	@velazquez	14	14	85	1,63	0,03	0,02
88	@jkj	161	133	21	0,16	0	0,02
89	@canadian-coconut	4	2	11	13,6	0,29	0,02
90	@slowwalker	6	5	3	4,2	0,09	0,02
91	@simonmaz	158	137	13	0,18	0	0,02
92	@airbud23	4	4	76	7,97	0,17	0,02
93	@tommyhansen	4	2	76	11,47	0,25	0,02
94	@pharesim	1	1	100	24,73	0,53	0,02
95	@albagargon	160	132	21	0,23	0	0,02
96	@reveur	41	30	26	1,06	0,02	0,02
97	@drakkomaximo1234	168	141	17	0,19	0	0,02
98	@breili	64	37	52	0,63	0,01	0,02
99	@cooperacion	61	58	11	0,45	0,01	0,02
100	@jvb71	14	4	87	5,47	0,12	0,02
101	@candyboy	5	1	40	33,95	0,73	0,02
102	@tex73110	54	38	74	0,64	0,01	0,02
103	@kaylinart	4	4	90	7,78	0,17	0,02
104	@inceptionally	4	3	98	7,47	0,16	0,02
105	@cryptomancer	4	4	75	7,69	0,16	0,02
106	@jogreh	154	134	4	0,18	0	0,02
107	@shenanigans	5	1	66	31,5	0,67	0,02
108	@avellana	35	22	98	1,39	0,03	0,02
109	@jlufer	59	21	31	1,41	0,03	0,02
110	@leveuf	33	17	95	1,38	0,03	0,02
111	@hilarski	64	3	87	8,24	0,18	0,02
112	@qubes	17	6	28	3,74	0,08	0,02
113	@sponge-bob	34	8	26	2,82	0,06	0,02
114	@jduarte	93	41	14	0,72	0,02	0,02
115	@snowflake	8	7	84	4,39	0,09	0,02
116	@freeyourmind	8	7	84	3,47	0,07	0,02
117	@lordgod	2	2	52	13,57	0,29	0,02
118	@don.quijote	14	12	80	2,24	0,05	0,02
119	@lionindayard	62	55	1	0,56	0,01	0,02
120	@angielb	28	28	83	0,83	0,02	0,02
121	@torkot	95	43	14	0,51	0,01	0,02
122	@banca	28	21	100	1,26	0,03	0,02
123	@fucktime	2	2	100	10,95	0,23	0,02
124	@abigail-dantes	6	6	18	3,58	0,08	0,02
125	@glitterfart	1	1	100	33	0,71	0,02
126	@cyclope	56	11	70	2,15	0,05	0,02
127	@simnrodrguez	93	41	14	0,69	0,01	0,02
128	@anwenbaumeister	26	26	2	0,84	0,02	0,02
129	@fiducia	23	6	94	3,73	0,08	0,02
130	@bert0	13	11	24	1,09	0,02	0,01
131	@flamingirl	8	2	50	6,16	0,13	0,01
132	@roadstories	76	64	32	0,14	0	0,01
133	@homeginkit	18	17	100	0,58	0,01	0,01
134	@steemyoda	5	2	43	5,68	0,12	0,01
135	@emeeseese	14	10	100	0,87	0,02	0,01
136	@thedolphincocoon	3	2	100	10,04	0,21	0,01
137	@nnnarvaez	30	26	42	0,73	0,02	0,01
138	@accelerator	3	3	44	2,41	0,05	0,01
139	@qurator-tier-1-2	26	14	2	1,39	0,03	0,01
140	@minotaurototal	46	32	56	0,48	0,01	0,01
141	@lagtv	54	26	11	0,45	0,01	0,01
142	@sunscape	71	5	92	3,28	0,07	0,01
143	@saramiller	32	2	9	6,39	0,14	0,01
144	@htooms	17	6	21	1,45	0,03	0,01
145	@heberwords	48	13	80	0,79	0,02	0,01
146	@creativecrypto	9	9	10	1,52	0,03	0,01
147	@familia-hispana	27	14	100	1	0,02	0,01
148	@hebrew	3	3	47	3,45	0,07	0,01
149	@omarmontes	38	22	86	0,57	0,01	0,01
150	@la-colmena	22	22	71	0,63	0,01	0,01
151	@magoia	161	133	21	0,1	0	0,01
152	@cowtippin	5	1	66	14,14	0,3	0,01
153	@s-tec	39	36	17	0,42	0,01	0,01
154	@freemoceanisnow	5	1	100	8,53	0,18	0,01
155	@danielvehe	19	19	100	0,38	0,01	0,01
156	@esteemapp	3	3	2	2,98	0,06	0,01
157	@mayvil	31	19	84	0,79	0,02	0,01
158	@robertking	5	4	100	3,37	0,07	0,01
159	@malekalmsaddi	5	5	100	1,88	0,04	0,01
160	@dong262514	5	5	100	2,05	0,04	0,01
161	@repollo	24	21	95	0,46	0,01	0,01
162	@raphaelle	28	17	26	0,66	0,01	0,01
163	@kr-coffeesteem	2	2	69	3,88	0,08	0,01
164	@tomiscurious	4	4	100	2,38	0,05	0,01
165	@steempunknet	6	6	100	1,4	0,03	0,01
166	@steps	4	4	100	2,27	0,05	0,01
167	@phlatattak	2	2	100	5,45	0,12	0,01
168	@cristo	44	26	82	0,31	0,01	0,01
169	@artzone	12	12	7	0,86	0,02	0,01
170	@jesseluther	7	7	100	2,1	0,04	0,01
171	@iyou	7	6	87	1,23	0,03	0,01
172	@arcange	21	16	2	0,57	0,01	0,01
173	@tufkat	3	2	100	4,61	0,1	0,01
174	@nkdk	7	1	100	8,29	0,18	0,01
175	@elfictron	161	133	4	0,06	0	0,01
176	@mariacherries	155	129	13	0,08	0	0,01
177	@fidel-castro	160	132	21	0,1	0	0,01
178	@pacokam8	176	147	7	0,08	0	0,01
179	@lenin-mccarthy	124	104	16	0,1	0	0,01
180	@streetstyle	5	5	32	3,09	0,07	0,01
181	@donkeypong	1	1	60	15,68	0,34	0,01
182	@roundbeargames	14	5	49	2,83	0,06	0,01
183	@dreamrafa	13	12	52	0,97	0,02	0,01
184	@joeparys	11	7	10	2,11	0,05	0,01
185	@makemoneynow	48	21	19	0,66	0,01	0,01
186	@alexmorenoec	45	18	14	0,54	0,01	0,01
187	@we-are-lucky	6	5	100	2,36	0,05	0,01
188	@sevillaespino	46	19	16	0,84	0,02	0,01
189	@ernick	45	19	16	0,71	0,02	0,01
190	@ppita	46	18	16	0,72	0,02	0,01
191	@freedomtribe	13	12	54	1,14	0,02	0,01
192	@raiser	45	18	14	0,63	0,01	0,01
193	@poetarojo	102	42	14	0,29	0,01	0,01
194	@abnerpantoja	105	50	18	0,22	0	0,01
195	@kastiuz	45	18	14	0,53	0,01	0,01
196	@juancar347	93	40	14	0,47	0,01	0,01
197	@oscarcc89	92	41	14	0,22	0	0,01
198	@oscarps	93	41	14	0,25	0,01	0,01
199	@alexisvalera	100	44	21	0,19	0	0,01
200	@felixrodriguez	165	134	10	0,13	0	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	@minnowsupport	487	344	1	37,36	0,8	9,28
2	@booster	14	10	11	127,02	2,71	0,92
3	@jerrybanfield	18	16	5	49,35	1,05	0,57
4	@sneaky-ninja	22	20	6	32,03	0,68	0,46
5	@buildawhale	7	6	7	75,81	1,62	0,33
6	@rocky1	10	7	5	63,46	1,36	0,32
7	@minnowbooster	4	3	77	136,71	2,92	0,3
8	@smartsteem	8	5	4	69,16	1,48	0,25
9	@busy.pay	24	10	3	17,52	0,37	0,13
10	@appreciator	5	4	4	45,03	0,96	0,13
11	@busy.org	139	66	1	1,88	0,04	0,09
12	@tipu	7	6	9	15,5	0,33	0,07
13	@thundercurator	21	16	14	5,63	0,12	0,07
14	@postpromoter	3	3	4	29,92	0,64	0,06
15	@upme	4	4	4	16,75	0,36	0,05
16	@mercurybot	10	7	13	8,35	0,18	0,04
17	@therising	2	2	11	17,37	0,37	0,03
18	@estabond	8	7	6	3,76	0,08	0,02
19	@minnowhelper	23	14	11	1,99	0,04	0,02
20	@boomerang	3	3	7	7,9	0,17	0,02
21	@lrd	6	6	14	4,06	0,09	0,02
22	@thebot	3	3	22	2,31	0,05	0,01
23	@edensgarden	4	4	10	1,76	0,04	0,01
24	@emperorofnaps	4	3	3	2,68	0,06	0,01
25	@drotto	35	19	1	0,44	0,01	0,01
26	@inciter	3	3	16	3,02	0,06	0,01
27	@minnowvotes	7	7	14	1,77	0,04	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.