TOP 200 effective Steemit curators in Deutsch category for the last week (2019.05.13-2019.05.19)

I want to share with you statistics about the most effective Steemit curators in Deutsch 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 Deutsch category took one of the largest part of the reward pool on that week. Looks like Deutsch community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in Deutsch 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	308	1113	3326,748	2,773
2	spanish	573	1298	2610,198	2,176
3	deutsch	201	580	703,321	0,586
4	india	27	65	676,063	0,564
5	cn	98	351	560,403	0,467
6	tr	37	111	472,614	0,394
7	pt	47	146	240,632	0,201
8	polish	82	171	231,479	0,193

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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201 authors published their posts during this week.

7177 accounts participated in the content curating according to information from the database.

39896 votes were made during this week.

740,99 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	@balte	126	72	32	16,53	2,23	5,92
2	@redpalestino	33	25	33	34,27	4,62	4,26
3	@steem-bootcamp	145	90	28	7,87	1,06	3,52
4	@patti.pizza	140	90	27	7,03	0,95	3,15
5	@tonalddrump	129	83	21	7,63	1,03	3,15
6	@backinblackdevil	190	69	14	7,79	1,05	2,67
7	@prinzvalium	59	31	29	13,71	1,85	2,11
8	@shaka	27	19	28	19,92	2,69	1,88
9	@seo-boss	63	38	47	6,61	0,89	1,25
10	@lichtblick	48	31	29	7,63	1,03	1,18
11	@chriddi	49	33	67	7,03	0,95	1,15
12	@neophilosoph	85	51	32	4,33	0,58	1,1
13	@kadna	58	38	44	5,3	0,72	1
14	@vikisecrets	53	25	31	7,49	1,01	0,93
15	@theaustrianguy	24	16	75	11,22	1,51	0,89
16	@twinner	27	18	18	9,36	1,26	0,84
17	@jeenger	196	106	19	1,58	0,21	0,83
18	@freiheit50	90	29	90	5,7	0,77	0,82
19	@vieanna	43	35	68	3,94	0,53	0,69
20	@curationvoter	119	60	19	1,91	0,26	0,57
21	@schamangerbert	49	32	31	3,53	0,48	0,56
22	@schlees	79	48	52	2,17	0,29	0,52
23	@stayoutoftherz	29	19	53	4,71	0,64	0,45
24	@reconnectnature	158	99	12	0,92	0,12	0,45
25	@jaki01	7	7	100	11,8	1,59	0,41
26	@michelangelo3	52	29	63	2,64	0,36	0,38
27	@don-thomas	140	89	24	0,83	0,11	0,37
28	@bhuz	4	4	86	18,22	2,46	0,36
29	@sebescen81	67	20	27	3,27	0,44	0,33
30	@platuro	140	90	27	0,69	0,09	0,31
31	@erniegreenhill	84	32	32	1,86	0,25	0,3
32	@germanbot	73	44	50	1,33	0,18	0,29
33	@meins0815	122	44	37	1,24	0,17	0,27
34	@esteemapp	18	8	4	6,79	0,92	0,27
35	@feuerelfe	179	99	24	0,52	0,07	0,26
36	@andyjaypowell	60	36	26	1,46	0,2	0,26
37	@louis88	67	17	29	2,98	0,4	0,25
38	@steemwiki	32	16	95	3,19	0,43	0,25
39	@dreimaldad	154	91	12	0,51	0,07	0,23
40	@modernpastor	14	4	50	10,96	1,48	0,22
41	@schlunior	82	49	52	0,91	0,12	0,22
42	@nextcolony	10	5	63	8,25	1,11	0,21
43	@nr5lebt	82	55	32	0,77	0,1	0,21
44	@diana.feuerberg	57	18	84	2,27	0,31	0,2
45	@condeas	58	36	75	1,02	0,14	0,18
46	@dotwin1981	92	34	17	1,09	0,15	0,18
47	@double-u	15	13	37	2,61	0,35	0,17
48	@uwelang	17	13	35	2,7	0,36	0,17
49	@chappertron	39	22	100	1,45	0,2	0,16
50	@davidorcamuriel	7	7	100	4,56	0,62	0,16
51	@robertgelbmann	38	26	82	1,26	0,17	0,16
52	@eisenbart	164	96	45	0,33	0,04	0,16
53	@gerdtrudroepke	63	28	32	1,17	0,16	0,16
54	@steemflower	30	15	70	2,02	0,27	0,15
55	@nosdos	48	31	100	0,89	0,12	0,14
56	@satren	90	31	28	0,94	0,13	0,14
57	@obvious	39	24	36	1,06	0,14	0,13
58	@stablewon	2	2	100	12,4	1,67	0,12
59	@schlafhacking	20	12	100	2,02	0,27	0,12
60	@altobot	104	61	50	0,39	0,05	0,12
61	@oliverschmid	10	5	100	4,51	0,61	0,11
62	@zuerich	30	12	32	1,91	0,26	0,11
63	@roy2016	21	10	37	2,16	0,29	0,11
64	@driveforkids	53	21	35	1,06	0,14	0,11
65	@backtomining	57	39	49	0,55	0,07	0,11
66	@steemitboard	56	44	1	0,52	0,07	0,11
67	@reiseamateur	20	14	69	1,44	0,19	0,1
68	@depot69	35	22	95	0,91	0,12	0,1
69	@team	28	23	8	0,85	0,11	0,1
70	@weitblicker	36	26	57	0,78	0,11	0,1
71	@bitandi	62	28	55	0,64	0,09	0,09
72	@z8teyb289qav9z	3	3	70	6,35	0,86	0,09
73	@ippua	15	12	100	1,51	0,2	0,09
74	@jkiw	25	20	98	0,87	0,12	0,09
75	@northmen	44	14	73	1,36	0,18	0,09
76	@muelli	51	30	63	0,63	0,09	0,09
77	@alucian	55	36	91	0,51	0,07	0,09
78	@germansailor	32	11	67	1,43	0,19	0,08
79	@magicdice	2	2	89	7,84	1,06	0,08
80	@felixxx	9	7	97	2,19	0,3	0,08
81	@ichbins	90	59	45	0,26	0,04	0,08
82	@quekery	151	98	20	0,17	0,02	0,08
83	@steemillu	39	13	79	1,25	0,17	0,08
84	@misan	103	69	31	0,23	0,03	0,08
85	@diereiseritter	64	34	78	0,47	0,06	0,08
86	@rhanna10km	7	6	100	2,18	0,29	0,07
87	@cervisia	45	16	38	0,83	0,11	0,07
88	@tomhall	7	6	37	2,36	0,32	0,07
89	@jeyf123	45	14	100	1	0,13	0,07
90	@foruni73	16	10	97	1,33	0,18	0,07
91	@gammastern	38	20	100	0,71	0,1	0,07
92	@canadian-coconut	13	1	14	12,7	1,71	0,06
93	@faltermann	22	17	55	0,69	0,09	0,06
94	@schlank	80	49	52	0,23	0,03	0,06
95	@altobee	45	15	63	0,74	0,1	0,06
96	@yaraha	135	74	36	0,16	0,02	0,06
97	@thomasthewolf	33	24	67	0,4	0,05	0,05
98	@dachcolony	46	23	100	0,46	0,06	0,05
99	@schlooster	81	48	51	0,22	0,03	0,05
100	@actifit-peter	32	9	58	1,03	0,14	0,05
101	@w74	31	15	100	0,65	0,09	0,05
102	@mammasitta	30	11	17	0,96	0,13	0,05
103	@redes	6	4	17	2,61	0,35	0,05
104	@astrophoto.kevin	15	9	63	1,04	0,14	0,05
105	@steamrebelvapors	21	17	19	0,52	0,07	0,04
106	@kaylinart	13	9	100	0,84	0,11	0,04
107	@rivalzzz	14	9	78	0,82	0,11	0,04
108	@bearded-benjamin	17	12	68	0,68	0,09	0,04
109	@lauchmelder	57	21	42	0,34	0,05	0,04
110	@steem-hilfe	55	36	44	0,21	0,03	0,04
111	@actifit-devil	37	25	36	0,35	0,05	0,04
112	@linuxbot	57	37	35	0,24	0,03	0,04
113	@jaydih	2	2	100	3,81	0,51	0,04
114	@der-prophet	43	27	85	0,32	0,04	0,04
115	@steemchiller	11	11	100	0,78	0,11	0,04
116	@alexis555	4	3	18	2,59	0,35	0,04
117	@imacryptorick	2	2	68	4,16	0,56	0,04
118	@reggaemuffin	3	2	25	3,54	0,48	0,04
119	@hasoon	2	2	96	3,57	0,48	0,04
120	@isarmoewe	53	26	25	0,28	0,04	0,04
121	@vladimir-simovic	27	7	60	1,26	0,17	0,04
122	@losi	42	26	52	0,31	0,04	0,04
123	@stehaller	33	13	100	0,6	0,08	0,04
124	@sean-king	3	1	100	8,5	1,15	0,04
125	@jarunik	3	3	83	2,57	0,35	0,04
126	@ubuntuhof	31	21	100	0,24	0,03	0,03
127	@mehta	29	22	35	0,29	0,04	0,03
128	@fabio	8	2	88	3,38	0,46	0,03
129	@ibc	8	8	100	0,68	0,09	0,03
130	@xels	9	6	50	1,1	0,15	0,03
131	@lotto-austria	13	8	96	0,72	0,1	0,03
132	@portalvotes	30	22	100	0,24	0,03	0,03
133	@carolinmatthie	25	21	52	0,26	0,04	0,03
134	@kobold-djawa	8	8	100	0,77	0,1	0,03
135	@powerpaul	29	23	86	0,23	0,03	0,03
136	@kissi	32	21	80	0,32	0,04	0,03
137	@jensvoigt	37	19	92	0,31	0,04	0,03
138	@accelerator	174	75	0	0,09	0,01	0,03
139	@donnerstein	58	12	100	0,58	0,08	0,03
140	@steinreich	13	4	23	0,94	0,13	0,02
141	@eikejanssen	17	11	71	0,43	0,06	0,02
142	@thepe	31	12	100	0,31	0,04	0,02
143	@mima2606	26	14	77	0,24	0,03	0,02
144	@motochan	4	2	81	1,6	0,22	0,02
145	@alexa57	110	39	31	0,08	0,01	0,02
146	@betterthanhome	20	7	94	0,48	0,06	0,02
147	@mangos	4	4	17	1,21	0,16	0,02
148	@hellroute	47	7	39	0,59	0,08	0,02
149	@alexvan	15	6	100	0,58	0,08	0,02
150	@afrog	9	4	100	0,85	0,11	0,02
151	@unique.esprit	2	2	88	1,75	0,24	0,02
152	@jeanpi1908	12	10	64	0,44	0,06	0,02
153	@arrax	26	14	100	0,26	0,04	0,02
154	@melvin7	20	15	100	0,32	0,04	0,02
155	@sugarboy	23	9	100	0,4	0,05	0,02
156	@sabine-reichert	23	8	87	0,4	0,05	0,02
157	@yogaworld	13	6	75	0,72	0,1	0,02
158	@dexos2	35	24	72	0,2	0,03	0,02
159	@kam.ila	6	6	68	0,62	0,08	0,02
160	@parzifal1	44	16	54	0,19	0,03	0,02
161	@pollux.one	21	9	15	0,38	0,05	0,02
162	@good-karma	18	8	4	0,45	0,06	0,02
163	@oendertuerk	12	7	28	0,56	0,08	0,02
164	@airbud23	3	3	79	1,57	0,21	0,02
165	@limesoda	6	4	100	0,86	0,12	0,02
166	@blockops	3	3	75	1,41	0,19	0,02
167	@ngc	2	2	55	1,78	0,24	0,02
168	@sirvotesalot	2	2	55	1,78	0,24	0,02
169	@fotogruppemunich	17	12	39	0,31	0,04	0,02
170	@solarwarrior	3	2	100	1,53	0,21	0,02
171	@leroy.linientreu	31	19	100	0,21	0,03	0,02
172	@rai-jin	39	22	12	0,17	0,02	0,02
173	@kizumo	11	11	100	0,43	0,06	0,02
174	@sj-jeong	1	1	100	1,92	0,26	0,01
175	@lauch3d	14	8	100	0,24	0,03	0,01
176	@johannpiber	11	8	12	0,23	0,03	0,01
177	@magicquokka	40	12	41	0,17	0,02	0,01
178	@theholystuhl	12	10	100	0,12	0,02	0,01
179	@ssin	1	1	95	1,14	0,15	0,01
180	@warofcraft	8	7	20	0,16	0,02	0,01
181	@gerechter-voter	58	12	100	0,13	0,02	0,01
182	@smartcoins	8	4	49	0,36	0,05	0,01
183	@moonsteem	2	1	100	1,57	0,21	0,01
184	@captain.future	11	7	77	0,17	0,02	0,01
185	@ozchartart	1	1	100	1,63	0,22	0,01
186	@pundito	13	7	87	0,23	0,03	0,01
187	@tincho	2	2	76	0,57	0,08	0,01
188	@travelwithus	14	8	68	0,33	0,04	0,01
189	@funnyman	5	4	100	0,51	0,07	0,01
190	@scripsio	2	1	54	1,33	0,18	0,01
191	@sjgod4018	3	2	76	0,51	0,07	0,01
192	@samotonakatoshi	77	51	49	0,03	0	0,01
193	@dclick	1	1	100	2,26	0,3	0,01
194	@blocktrades	1	1	5	2,71	0,37	0,01
195	@kryptodenno	21	20	100	0,07	0,01	0,01
196	@indextrader24	25	12	100	0,21	0,03	0,01
197	@okean123	17	9	94	0,33	0,04	0,01
198	@muscara	25	10	43	0,16	0,02	0,01
199	@atego	24	16	90	0,18	0,02	0,01
200	@kus-knee	2	2	18	0,56	0,08	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	@ocdb	3	3	24	62,69	8,46	0,94
2	@tipu	11	5	6	22,71	3,06	0,56
3	@steembasicincome	16	13	47	3,45	0,47	0,22
4	@sbi3	35	23	26	1,82	0,25	0,21
5	@steem-ua	22	12	2	2,38	0,32	0,14
6	@minnowsupport	22	16	3	1,38	0,19	0,11
7	@boomerang	3	2	19	8,91	1,2	0,09
8	@sbi2	15	11	41	1,69	0,23	0,09
9	@smartmarket	11	9	3	2,11	0,28	0,09
10	@sbi5	24	21	34	0,77	0,1	0,08
11	@busy.pay	8	5	4	3,24	0,44	0,08
12	@steem-plus	43	18	2	0,79	0,11	0,07
13	@minnowbooster	3	2	32	6,49	0,88	0,06
14	@curationhelper	23	8	46	1,29	0,17	0,05
15	@sbi4	15	13	36	0,74	0,1	0,05
16	@partiko-promoter	17	11	23	0,65	0,09	0,04
17	@partiko	15	12	1	0,59	0,08	0,04
18	@steemvote	23	3	100	2,99	0,4	0,04
19	@merlin7	2	2	100	3,31	0,45	0,03
20	@sbi7	19	17	43	0,38	0,05	0,03
21	@treeplanter	5	2	87	1,79	0,24	0,02
22	@sbi8	16	14	49	0,24	0,03	0,02
23	@smartsteem	1	1	5	3,27	0,44	0,02
24	@sbi9	15	13	67	0,25	0,03	0,02
25	@sbi10	13	11	82	0,17	0,02	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.

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