TOP 200 effective Steemit curators in Spanish category for the last week (2018.05.28-2018.06.03)

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	1275	4779	19892	2,759
2	spanish	2053	4475	8400	1,165
3	deutsch	361	1159	6291	0,873
4	tr	270	967	4419	0,613
5	cn	269	837	3794	0,526
6	ita	145	434	3561	0,494
7	indonesia	624	1664	2106	0,292
8	japanese	134	463	1789	0,248
9	fr	108	285	1657	0,23
10	myanmar	138	393	1408	0,195
11	india	65	166	1329	0,184
12	polish	229	557	1090	0,151

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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2053 authors published their posts during this week.

12769 accounts participated in the content curating according to information from the database.

126277 votes were made during this week.

8400,16 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	167	139	20	783,97	9,33	53,08
2	@pharesim	406	348	0	179,63	2,14	30,45
3	@wackou	173	150	11	363,65	4,33	26,57
4	@lafona-miner	168	139	21	304,89	3,63	20,64
5	@heiditravels	167	140	20	244,15	2,91	16,65
6	@hr1	466	358	0	95,25	1,13	16,61
7	@pgarcgo	167	139	20	243,44	2,9	16,48
8	@gargon	165	137	20	174,93	2,08	11,67
9	@done	47	13	43	637,62	7,59	4,04
10	@jgcastrillo19	166	138	20	56,92	0,68	3,83
11	@hendrikdegrote	42	40	2	144,99	1,73	2,82
12	@tincho	172	145	6	38,42	0,46	2,71
13	@wartrapa	166	138	20	38,66	0,46	2,6
14	@titin	167	140	20	29,01	0,35	1,98
15	@bue	218	185	100	19,01	0,23	1,71
16	@dineroconopcion	90	34	15	92,26	1,1	1,53
17	@ausbitbank	52	48	5	56,69	0,67	1,33
18	@anomadsoul	29	18	12	141,06	1,68	1,24
19	@planter	25	24	35	94,08	1,12	1,1
20	@nelyp	139	102	10	15,68	0,19	0,78
21	@talentclub	71	31	16	47,64	0,57	0,72
22	@provenezuela	53	48	48	23,56	0,28	0,55
23	@mdcomes	165	138	20	7,22	0,09	0,49
24	@utopian-io	7	6	3	130,46	1,55	0,38
25	@steemrant	51	16	23	46,89	0,56	0,37
26	@aneblueberry	165	139	20	5,29	0,06	0,36
27	@dick.sledge	236	154	1	4,64	0,06	0,35
28	@mosqueteros	81	58	54	12,5	0,15	0,35
29	@meerkat	46	41	4	17,31	0,21	0,35
30	@teo	166	139	20	4,8	0,06	0,32
31	@barbro	37	13	29	49,23	0,59	0,31
32	@candyboy	14	6	19	107,26	1,28	0,31
33	@beanz	19	17	23	33,54	0,4	0,28
34	@dulcinea	165	138	20	3,83	0,05	0,26
35	@freeyourmind	19	10	58	47,58	0,57	0,23
36	@curie	42	40	2	10,13	0,12	0,2
37	@snowflake	15	10	57	37,23	0,44	0,18
38	@fucktime	11	5	59	64,54	0,77	0,16
39	@kilianmiguel	170	139	22	2,31	0,03	0,16
40	@roelandp	56	44	1	7,39	0,09	0,16
41	@btu	24	12	10	26,4	0,31	0,15
42	@blockops	12	10	56	30,01	0,36	0,15
43	@spanishchef	166	139	20	2,1	0,02	0,14
44	@maastro	168	140	22	2,07	0,02	0,14
45	@someonewhoisme	14	8	62	37,16	0,44	0,14
46	@soymanu	170	142	22	1,99	0,02	0,14
47	@peaceandlove	17	14	64	20,34	0,24	0,14
48	@noticias	166	139	20	2,14	0,03	0,14
49	@mythologyupvote	80	56	27	4,72	0,06	0,13
50	@gabox	167	144	9	1,91	0,02	0,13
51	@anahilarski	94	11	84	23,98	0,29	0,13
52	@reimerlin	170	140	22	1,7	0,02	0,12
53	@bytzz	45	13	22	19,67	0,23	0,12
54	@lionindayard	213	165	1	1,34	0,02	0,11
55	@simonmaz	158	141	12	1,67	0,02	0,11
56	@votovzla	45	33	73	6,85	0,08	0,11
57	@onthewayout	39	21	42	10,74	0,13	0,11
58	@anwenbaumeister	42	40	2	5,84	0,07	0,11
59	@jvb71	51	35	32	6,15	0,07	0,1
60	@rafarosado	164	136	12	1,58	0,02	0,1
61	@bcc	17	11	10	19,02	0,23	0,1
62	@lec	125	117	17	1,64	0,02	0,09
63	@delega	67	34	14	5,32	0,06	0,09
64	@ivan-perez-anies	71	30	17	5,3	0,06	0,08
65	@abigail-dantes	11	9	27	17,49	0,21	0,08
66	@albagargon	166	139	20	1,15	0,01	0,08
67	@handmade	79	22	58	7,73	0,09	0,08
68	@kevinwong	29	27	1	6,23	0,07	0,08
69	@marketstack	180	143	1	1,15	0,01	0,08
70	@kamikaze	8	7	71	22,53	0,27	0,08
71	@ppita	134	78	11	2,18	0,03	0,08
72	@mauriciovite	49	29	34	4,96	0,06	0,07
73	@mariacherries	153	134	12	1,06	0,01	0,07
74	@jogreh	183	160	4	0,8	0,01	0,06
75	@davidding	5	4	19	30,88	0,37	0,06
76	@surpassinggoogle	5	4	8	30,01	0,36	0,06
77	@reveur	37	33	46	3,64	0,04	0,06
78	@dtube	2	1	20	131,77	1,57	0,06
79	@blocktrades	1	1	50	124,19	1,48	0,06
80	@cuvi	165	140	10	0,93	0,01	0,06
81	@tashidelek	11	10	83	12,97	0,15	0,06
82	@justtryme90	8	7	18	13,83	0,16	0,05
83	@uradick	12	8	23	12,36	0,15	0,05
84	@vact	42	40	2	2,71	0,03	0,05
85	@apoloo1	47	26	53	3,59	0,04	0,05
86	@sethroot	67	53	39	2,13	0,03	0,05
87	@liberosist	46	41	4	2,37	0,03	0,05
88	@loreennaa	77	55	23	1,91	0,02	0,05
89	@introduce.bot	67	67	2	1,45	0,02	0,05
90	@sevillaespino	85	34	14	2,47	0,03	0,04
91	@ramta	7	6	5	12,4	0,15	0,04
92	@steemstem	8	6	19	14,7	0,17	0,04
93	@kpine	3	1	30	73,11	0,87	0,04
94	@moisesmcardona	74	71	2	1,25	0,01	0,04
95	@simon.bolivar	16	16	84	4,93	0,06	0,04
96	@betamusic	16	15	52	5,43	0,06	0,04
97	@aniestudio	71	30	17	2,67	0,03	0,04
98	@fiducia	63	13	33	6,98	0,08	0,04
99	@la-colmena	35	35	59	1,55	0,02	0,03
100	@homeginkit	36	27	100	2,02	0,02	0,03
101	@aarauz	76	26	57	2,56	0,03	0,03
102	@hilarski	70	3	87	19,02	0,23	0,03
103	@youdontsay	51	20	15	3,52	0,04	0,03
104	@c-squared	40	39	22	1,7	0,02	0,03
105	@resiliencia	11	5	79	10,84	0,13	0,03
106	@banca	28	23	62	2,79	0,03	0,03
107	@velazquez	17	16	77	3,21	0,04	0,03
108	@torkot	85	42	17	1,23	0,01	0,03
109	@goldbuyer	30	12	37	4,97	0,06	0,03
110	@aidarojaswriter	126	111	36	0,47	0,01	0,03
111	@dresden	74	33	17	1,84	0,02	0,03
112	@entropia	27	24	100	2,93	0,03	0,03
113	@cooperacion	24	22	100	3,13	0,04	0,03
114	@decomoescribir	71	31	16	1,81	0,02	0,03
115	@artzone	23	15	9	3,93	0,05	0,03
116	@frida.kahlo	17	15	85	3,76	0,04	0,03
117	@idandy	52	43	64	1,43	0,02	0,03
118	@suesa-spanish	35	30	100	2,14	0,03	0,03
119	@sancho.panza	14	13	89	5,07	0,06	0,03
120	@sponge-bob	39	13	23	4,81	0,06	0,03
121	@qurator-tier-1-2	34	14	3	4,43	0,05	0,03
122	@oscarps	72	32	16	1,1	0,01	0,02
123	@francis228	166	139	20	0,24	0	0,02
124	@marpa	80	37	18	1,03	0,01	0,02
125	@makemoneynow	84	34	14	1,13	0,01	0,02
126	@bitcoinroute	36	19	78	1,7	0,02	0,02
127	@jduarte	71	30	17	1,06	0,01	0,02
128	@galberto	69	30	18	1,17	0,01	0,02
129	@lenin-mccarthy	165	138	15	0,27	0	0,02
130	@alexmorenoec	84	34	14	1,15	0,01	0,02
131	@startuplaunchpad	7	6	100	5,45	0,06	0,02
132	@joseph1956	36	9	88	3,62	0,04	0,02
133	@juanmiguelsalas	35	13	34	3,21	0,04	0,02
134	@luisucv34	173	144	23	0,27	0	0,02
135	@matt-a	3	3	30	15,83	0,19	0,02
136	@leveuf	39	21	78	2,36	0,03	0,02
137	@inceptionally	6	5	64	10,12	0,12	0,02
138	@kryptonia	14	11	29	3,98	0,05	0,02
139	@jlufer	55	19	31	1,71	0,02	0,02
140	@tommyhansen	8	5	16	9,03	0,11	0,02
141	@emeeseese	20	20	79	1,72	0,02	0,02
142	@qubes	11	9	28	4,23	0,05	0,02
143	@kastiuz	84	34	13	1,14	0,01	0,02
144	@bert0	18	17	24	2,53	0,03	0,02
145	@melip	31	9	27	4,8	0,06	0,02
146	@felixrodriguez	174	143	10	0,3	0	0,02
147	@angielb	25	23	82	1,7	0,02	0,02
148	@redpalestino	2	2	78	21,98	0,26	0,02
149	@jacksonmil980	84	34	13	0,95	0,01	0,02
150	@alexicp	83	33	13	1,05	0,01	0,02
151	@goya	16	15	80	3,06	0,04	0,02
152	@don.quijote	11	11	86	3,39	0,04	0,02
153	@niello	3	3	66	11,22	0,13	0,02
154	@reggaemuffin	3	2	16	19,11	0,23	0,02
155	@avellana	40	18	75	2,47	0,03	0,02
156	@xaero1	2	2	16	17,6	0,21	0,02
157	@flysky	5	4	26	8,96	0,11	0,02
158	@cryp2me	84	33	14	1,06	0,01	0,02
159	@breili	65	38	43	0,97	0,01	0,02
160	@alexanderlara	84	34	14	0,97	0,01	0,02
161	@hebrew	6	5	22	9,24	0,11	0,02
162	@zonabitcoin	85	35	15	1,06	0,01	0,02
163	@futurethinker	15	13	60	3,12	0,04	0,02
164	@benleemusic	54	40	1	1,19	0,01	0,02
165	@raiser	83	34	13	1,16	0,01	0,02
166	@angelusnoctum	83	34	13	0,94	0,01	0,02
167	@elprutest	85	33	14	1,01	0,01	0,02
168	@ernick	86	34	15	1,26	0,01	0,02
169	@xeldal	2	2	4	8,14	0,1	0,01
170	@hectgranate	143	120	18	0,15	0	0,01
171	@camiloferrua	24	23	100	0,48	0,01	0,01
172	@drakbirkenau	46	26	74	0,41	0	0,01
173	@kyoto	4	4	100	6,28	0,07	0,01
174	@anritco	6	5	77	2,73	0,03	0,01
175	@pi100	5	5	44	2,39	0,03	0,01
176	@celfmagazine	19	18	100	1,68	0,02	0,01
177	@momar	4	4	84	4,73	0,06	0,01
178	@lemouth	8	6	13	1,9	0,02	0,01
179	@angelinafx	5	5	24	5,15	0,06	0,01
180	@gabriellecd	91	72	41	0,31	0	0,01
181	@nenio	33	12	34	2,38	0,03	0,01
182	@sirtorito	20	13	98	0,81	0,01	0,01
183	@ticopurelife	12	9	100	1,26	0,01	0,01
184	@jonsnoww	15	12	90	0,91	0,01	0,01
185	@egonz	45	12	43	1,44	0,02	0,01
186	@jhelbich	39	11	37	2,09	0,02	0,01
187	@cyclope	32	11	39	1,16	0,01	0,01
188	@robinsonlgil	28	20	93	0,67	0,01	0,01
189	@cubadetodo	92	28	71	0,61	0,01	0,01
190	@markangeltrueman	29	28	9	0,61	0,01	0,01
191	@steempunknet	7	6	100	3,26	0,04	0,01
192	@thinknzombie	40	38	1	0,52	0,01	0,01
193	@fakj94	17	9	75	1,31	0,02	0,01
194	@txatxy	71	31	16	0,72	0,01	0,01
195	@fayescott	3	3	100	4,44	0,05	0,01
196	@evarich	27	23	27	0,51	0,01	0,01
197	@oscarcc89	68	30	17	0,44	0,01	0,01
198	@juancar347	74	32	19	0,86	0,01	0,01
199	@sol25	74	34	16	0,78	0,01	0,01
200	@simnrodrguez	71	31	16	0,74	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	668	498	0	60,22	0,72	14,61
2	@appreciator	11	10	5	232,75	2,77	1,13
3	@sneaky-ninja	36	23	5	89,36	1,06	1
4	@smartsteem	11	9	5	214,81	2,56	0,94
5	@postpromoter	12	8	3	166,7	1,98	0,65
6	@buildawhale	8	7	7	168,93	2,01	0,58
7	@therising	11	8	8	119,03	1,42	0,46
8	@booster	11	9	5	93,08	1,11	0,41
9	@rocky1	7	7	4	76,41	0,91	0,26
10	@upme	10	8	2	64,83	0,77	0,25
11	@upmewhale	10	7	7	55,63	0,66	0,19
12	@jerrybanfield	14	9	4	38,79	0,46	0,17
13	@emperorofnaps	13	12	7	28,94	0,34	0,17
14	@tipu	12	9	7	35,94	0,43	0,16
15	@cheetah	146	120	0	1,46	0,02	0,09
16	@mercurybot	13	12	5	11,33	0,13	0,07
17	@boomerang	7	5	6	29,83	0,36	0,07
18	@minnowhelper	37	28	6	4,21	0,05	0,06
19	@busy.org	41	15	1	5,76	0,07	0,04
20	@inciter	13	10	5	8,78	0,1	0,04
21	@seakraken	17	11	15	7,62	0,09	0,04
22	@onlyprofitbot	13	11	14	5,17	0,06	0,03
23	@estabond	14	11	2	5,15	0,06	0,03
24	@minnowvotes	12	10	8	4,9	0,06	0,02
25	@pushup	7	6	9	7,35	0,09	0,02
26	@edensgarden	7	7	11	6,45	0,08	0,02
27	@thundercurator	10	10	15	3,34	0,04	0,02
28	@busy.pay	13	7	1	6,58	0,08	0,02
29	@lovejuice	10	8	10	2,4	0,03	0,01
30	@redlambo	11	7	16	4,15	0,05	0,01
31	@nado.bot	10	7	13	2,41	0,03	0,01
32	@treeplanter	10	8	8	3,13	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.