TOP 200 effective Steemit curators in Spanish category for the last week (2018.07.02-2018.07.08)

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	941	3349	11575	2,474
2	spanish	1548	3058	5103	1,091
3	deutsch	305	908	3236	0,692
4	cn	186	581	2432	0,52
5	tr	234	663	2319	0,496
6	japanese	128	369	1832	0,392
7	ita	104	291	1380	0,295
8	india	91	164	1287	0,275
9	polish	171	380	1084	0,232
10	indonesia	349	801	919	0,197
11	pt	93	272	879	0,188
12	fr	72	185	835	0,178

You can find an actual information about TOP 100 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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1548 authors published their posts during this week.

12400 accounts participated in the content curating according to information from the database.

92549 votes were made during this week.

5103,16 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	141	115	21	426,63	8,36	31,69
2	@wackou	164	138	11	316,92	6,21	28,25
3	@lafona-miner	143	119	20	213,65	4,19	16,42
4	@hr1	509	374	0	63,52	1,24	15,35
5	@pgarcgo	136	113	20	128,74	2,52	9,4
6	@heiditravels	135	113	20	126,35	2,48	9,22
7	@gargon	137	112	20	92	1,8	6,66
8	@steempress-io	43	21	9	390,71	7,66	5,3
9	@done	62	14	35	351,53	6,89	3,18
10	@beanz	48	42	42	92,25	1,81	2,5
11	@jgcastrillo19	137	113	20	28,9	0,57	2,11
12	@wartrapa	135	112	20	20,62	0,4	1,49
13	@planter	29	29	35	71,82	1,41	1,35
14	@titin	137	113	20	14,81	0,29	1,08
15	@tincho	116	102	5	15,98	0,31	1,05
16	@bue	167	149	100	10,7	0,21	1,03
17	@talentclub	65	29	22	46,17	0,9	0,86
18	@hendrikdegrote	31	31	1	42,56	0,83	0,85
19	@anomadsoul	20	7	32	154,02	3,02	0,7
20	@pharesim	18	18	6	41,82	0,82	0,49
21	@dineroconopcion	56	23	12	30,52	0,6	0,45
22	@mdcomes	136	112	20	3,69	0,07	0,27
23	@utopian-io	7	7	3	58,28	1,14	0,26
24	@nelyp	128	97	10	3,76	0,07	0,24
25	@btu	28	13	16	28,34	0,56	0,24
26	@provenezuela	31	26	66	13,01	0,25	0,22
27	@aneblueberry	133	109	21	2,71	0,05	0,19
28	@teo	134	111	20	2,34	0,05	0,17
29	@ocd	9	9	45	30,01	0,59	0,17
30	@mosqueteros	64	41	54	6,13	0,12	0,16
31	@bcc	27	11	12	21,54	0,42	0,15
32	@dulcinea	135	112	20	1,9	0,04	0,14
33	@jvb71	46	31	27	6,97	0,14	0,14
34	@introduce.bot	107	92	1	2,01	0,04	0,12
35	@mauriciovite	79	43	19	4,24	0,08	0,12
36	@mythologyupvote	39	22	47	6,81	0,13	0,1
37	@glitterfart	3	1	100	151,11	2,96	0,1
38	@dresden	74	33	22	4,72	0,09	0,1
39	@kevinwong	22	22	1	6,2	0,12	0,09
40	@bebeth	51	44	45	3,08	0,06	0,09
41	@blockops	8	7	74	19,82	0,39	0,09
42	@davidding	3	3	59	34,85	0,68	0,07
43	@votovzla	39	33	65	3,39	0,07	0,07
44	@ivan-perez-anies	65	28	22	3,98	0,08	0,07
45	@tombstone	18	18	0	5,59	0,11	0,06
46	@delega	34	27	16	3,6	0,07	0,06
47	@ausbitbank	9	8	6	11,07	0,22	0,06
48	@steemrant	24	6	24	13,51	0,26	0,05
49	@dick.sledge	70	59	1	1,4	0,03	0,05
50	@marketstack	69	57	1	1,38	0,03	0,05
51	@noticias	135	112	20	0,76	0,01	0,05
52	@rafarosado	140	116	8	0,65	0,01	0,05
53	@nnnarvaez	73	56	27	1,44	0,03	0,05
54	@kamikaze	6	5	76	16,64	0,33	0,05
55	@maastro	143	117	22	0,62	0,01	0,05
56	@kryptoniabot	29	16	5	3,75	0,07	0,04
57	@melvadg	40	36	57	1,88	0,04	0,04
58	@spanishchef	133	110	20	0,56	0,01	0,04
59	@donkeypong	2	2	48	31,66	0,62	0,04
60	@lola-carola	145	120	6	0,49	0,01	0,04
61	@eturnerx	38	18	13	3,21	0,06	0,04
62	@sancho.panza	19	19	64	3,06	0,06	0,04
63	@chronoboost	13	11	8	4,95	0,1	0,04
64	@youdontsay	37	11	50	5,06	0,1	0,04
65	@aniestudio	65	28	24	2,11	0,04	0,04
66	@curie	31	31	1	2,19	0,04	0,04
67	@barbro	9	5	49	13,07	0,26	0,04
68	@onthewayout	22	16	52	4,34	0,09	0,04
69	@avellana	42	26	93	2,19	0,04	0,04
70	@gabox	138	119	7	0,51	0,01	0,04
71	@frida.kahlo	19	16	83	2,51	0,05	0,03
72	@flysky	7	5	32	9,76	0,19	0,03
73	@lionindayard	71	60	1	0,71	0,01	0,03
74	@soymanu	140	113	22	0,4	0,01	0,03
75	@airbud23	4	4	73	11,18	0,22	0,03
76	@don.quijote	15	15	80	2,74	0,05	0,03
77	@anahilarski	55	6	90	8,74	0,17	0,03
78	@tommyhansen	5	4	57	11,09	0,22	0,03
79	@marpa	72	34	26	1,22	0,02	0,03
80	@jayjes	23	13	100	3,63	0,07	0,03
81	@decomoescribir	65	29	22	1,45	0,03	0,03
82	@jesseluther	10	10	96	4,12	0,08	0,03
83	@cooperacion	49	47	15	0,99	0,02	0,03
84	@abigail-dantes	8	8	18	4,87	0,1	0,03
85	@simon.bolivar	17	16	82	3,28	0,06	0,03
86	@tashidelek	10	6	94	8,03	0,16	0,03
87	@cuvi	137	115	9	0,42	0,01	0,03
88	@bytzz	26	6	24	7,56	0,15	0,03
89	@kryptonia	29	16	5	2,64	0,05	0,03
90	@kaylinart	4	4	85	10,29	0,2	0,03
91	@banca	30	23	100	1,71	0,03	0,03
92	@reimerlin	138	112	22	0,46	0,01	0,03
93	@vact	31	31	1	1,44	0,03	0,03
94	@pacokam8	153	125	8	0,19	0	0,02
95	@goya	15	15	75	1,77	0,03	0,02
96	@anwenbaumeister	31	31	1	0,93	0,02	0,02
97	@shenanigans	4	1	66	30,15	0,59	0,02
98	@cryptomancer	5	2	94	16,12	0,32	0,02
99	@torkot	71	32	23	0,99	0,02	0,02
100	@jduarte	65	29	22	0,96	0,02	0,02
101	@drakkomaximo1234	152	127	17	0,27	0,01	0,02
102	@ghasemkiani	14	12	7	1,94	0,04	0,02
103	@albagargon	134	111	20	0,23	0	0,02
104	@fucktime	3	2	80	16,56	0,32	0,02
105	@mballesteros	46	42	100	0,78	0,02	0,02
106	@artzone	18	12	9	2	0,04	0,02
107	@lourdeshd6	29	23	100	1,16	0,02	0,02
108	@entropia	22	21	100	1,5	0,03	0,02
109	@dtube	1	1	20	37,97	0,74	0,02
110	@thedolphincocoon	4	2	100	16,64	0,33	0,02
111	@aarauz	71	19	48	1,54	0,03	0,02
112	@canadian-coconut	3	2	16	16,71	0,33	0,02
113	@melip	28	9	30	3,11	0,06	0,02
114	@jlufer	59	24	29	1,22	0,02	0,02
115	@handmade	51	13	47	1,94	0,04	0,02
116	@bert0	17	15	25	1,82	0,04	0,02
117	@warofcraft	19	18	20	1,63	0,03	0,02
118	@breili	60	42	49	0,63	0,01	0,02
119	@jogreh	135	117	4	0,33	0,01	0,02
120	@reveur	32	25	40	1,39	0,03	0,02
121	@angielb	32	23	86	1,2	0,02	0,02
122	@simnrodrguez	65	29	22	0,95	0,02	0,02
123	@c-squared	25	25	14	0,51	0,01	0,01
124	@comedyopenmic	7	7	11	2,98	0,06	0,01
125	@choogirl	20	20	5	1,07	0,02	0,01
126	@justtryme90	8	8	8	2,61	0,05	0,01
127	@yongleantonio	33	31	100	0,33	0,01	0,01
128	@saramiller	23	2	9	5,44	0,11	0,01
129	@magoia	135	112	20	0,1	0	0,01
130	@raiser	50	18	12	0,61	0,01	0,01
131	@kastiuz	50	18	12	0,56	0,01	0,01
132	@steemstem	6	6	10	3,83	0,08	0,01
133	@mariacherries	136	115	12	0,07	0	0,01
134	@investegg	2	2	100	4,52	0,09	0,01
135	@markangeltrueman	25	25	7	0,59	0,01	0,01
136	@cowtippin	4	1	66	14,34	0,28	0,01
137	@familia-hispana	24	11	100	1,09	0,02	0,01
138	@kyoto	3	3	100	2,88	0,06	0,01
139	@the-eliot	14	14	1	0,69	0,01	0,01
140	@freemoceanisnow	4	1	100	9,1	0,18	0,01
141	@trenz	65	29	27	0,3	0,01	0,01
142	@qubes	17	5	25	4,05	0,08	0,01
143	@leveuf	29	11	91	1,6	0,03	0,01
144	@jkj	135	112	20	0,1	0	0,01
145	@juanfb	66	53	50	0,18	0	0,01
146	@cristo	49	27	93	0,44	0,01	0,01
147	@minnowunion	30	7	100	2,21	0,04	0,01
148	@kilianmiguel	147	120	20	0,09	0	0,01
149	@mayvil	25	17	86	0,68	0,01	0,01
150	@fidel-castro	135	112	20	0,09	0	0,01
151	@sunscape	52	4	88	2,91	0,06	0,01
152	@lenin-mccarthy	116	101	13	0,08	0	0,01
153	@azabacheclaro	18	12	100	0,84	0,02	0,01
154	@cheysanta	20	12	100	0,91	0,02	0,01
155	@hebrew	6	5	20	4,27	0,08	0,01
156	@someonewhoisme	5	5	47	2,59	0,05	0,01
157	@simonmaz	138	120	14	0,18	0	0,01
158	@flamingirl	5	3	62	5,69	0,11	0,01
159	@la-colmena	25	25	43	0,52	0,01	0,01
160	@fiducia	22	4	94	4,31	0,08	0,01
161	@pignus	26	8	95	1,3	0,03	0,01
162	@tcpaikano	35	28	16	0,37	0,01	0,01
163	@ocdb	2	1	28	11,8	0,23	0,01
164	@hectgranate	142	110	14	0,08	0	0,01
165	@alfanso	7	6	4	2,17	0,04	0,01
166	@th3voter	6	5	39	2,11	0,04	0,01
167	@gabriellecd	43	35	54	0,23	0	0,01
168	@destbest	3	1	100	8,13	0,16	0,01
169	@felixrodriguez	140	116	9	0,09	0	0,01
170	@loreennaa	40	29	22	0,7	0,01	0,01
171	@hilarski	44	2	82	7,45	0,15	0,01
172	@qurator-tier-1-2	26	11	3	1,98	0,04	0,01
173	@bigbot	37	30	99	0,66	0,01	0,01
174	@we-are-lucky	5	5	100	2,32	0,05	0,01
175	@nenio	22	10	36	0,96	0,02	0,01
176	@velazquez	10	9	83	1,33	0,03	0,01
177	@partiko	30	26	5	0,6	0,01	0,01
178	@ticopurelife	18	16	100	1,06	0,02	0,01
179	@massivevibration	31	31	5	0,3	0,01	0,01
180	@benleemusic	37	31	1	0,28	0,01	0,01
181	@robinsonlgil	84	75	18	0,15	0	0,01
182	@sethroot	27	23	49	0,59	0,01	0,01
183	@emeeseese	14	13	100	0,99	0,02	0,01
184	@homeginkit	24	21	100	0,93	0,02	0,01
185	@roundbeargames	11	5	27	1,89	0,04	0,01
186	@gomeravibz	6	5	92	3,39	0,07	0,01
187	@steempunknet	7	7	100	1,5	0,03	0,01
188	@opaulo	19	9	6	1,37	0,03	0,01
189	@cryp2me	50	18	12	0,52	0,01	0,01
190	@poetarojo	74	30	23	0,55	0,01	0,01
191	@omarmontes	32	22	84	0,5	0,01	0,01
192	@sponge-bob	27	7	27	2,75	0,05	0,01
193	@steembasicincome	16	3	5	3,22	0,06	0,01
194	@oscarcc89	65	29	22	0,4	0,01	0,01
195	@billbutler	4	4	63	2,92	0,06	0,01
196	@theunion	28	22	100	0,6	0,01	0,01
197	@freeyourmind	4	4	77	2,59	0,05	0,01
198	@pcsg-dev	7	7	100	1,38	0,03	0,01
199	@betamusic	35	29	60	0,52	0,01	0,01
200	@pepitagold	37	11	83	0,73	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	@minnowsupport	516	362	1	39,17	0,77	9,16
2	@buildawhale	10	8	9	154,66	3,03	0,8
3	@booster	9	7	9	83,59	1,64	0,38
4	@sneaky-ninja	19	17	6	30,88	0,61	0,34
5	@rocky1	9	7	5	63,53	1,24	0,29
6	@smartsteem	8	6	3	68,63	1,34	0,27
7	@jerrybanfield	13	10	5	40,15	0,79	0,26
8	@appreciator	6	5	3	56,01	1,1	0,18
9	@busy.org	120	50	0	4,49	0,09	0,15
10	@postpromoter	4	3	5	59,01	1,16	0,11
11	@therising	5	5	7	31,86	0,62	0,1
12	@upmewhale	3	3	12	34,86	0,68	0,07
13	@busy.pay	16	6	3	15,15	0,3	0,06
14	@upme	4	3	5	27,18	0,53	0,05
15	@emperorofnaps	7	7	5	10,47	0,21	0,05
16	@thundercurator	25	13	10	5,67	0,11	0,05
17	@edensgarden	11	10	11	6,23	0,12	0,04
18	@onlyprofitbot	13	10	17	3,94	0,08	0,03
19	@boomerang	4	4	7	12,12	0,24	0,03
20	@mercurybot	9	6	8	4,54	0,09	0,02
21	@estabond	10	8	3	3,22	0,06	0,02
22	@brupvoter	4	3	23	7,95	0,16	0,02
23	@oceanwhale	8	5	5	3,41	0,07	0,01
24	@shares	4	4	43	2,39	0,05	0,01
25	@pushup	3	3	17	2,97	0,06	0,01
26	@tipu	4	4	2	2,51	0,05	0,01
27	@seakraken	10	8	9	1,01	0,02	0,01
28	@inciter	6	4	7	3,26	0,06	0,01
29	@thebot	7	5	6	1,88	0,04	0,01
30	@dailyupvotes	9	6	10	3,29	0,06	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.