TOP 200 effective Steemit curators in Deutsch 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 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	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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305 authors published their posts during this week.

7370 accounts participated in the content curating according to information from the database.

25730 votes were made during this week.

3239,08 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	@redpalestino	48	34	30	121,16	3,74	13,51
2	@twinner	90	56	29	68,54	2,12	12,58
3	@theaustrianguy	39	27	77	71,85	2,22	6,36
4	@shaka	40	27	25	70	2,16	6,2
5	@freiheit50	110	47	77	29,22	0,9	4,5
6	@jaki01	14	12	84	78,22	2,41	3,08
7	@balte	112	60	32	14,67	0,45	2,89
8	@reggaemuffin	11	4	83	217,53	6,72	2,85
9	@schamangerbert	65	45	34	18,6	0,57	2,74
10	@hr1	92	57	0	11,53	0,36	2,15
11	@vieanna	53	36	71	11,93	0,37	1,41
12	@andyjaypowell	70	40	33	9,65	0,3	1,27
13	@leroy.linientreu	51	37	49	9,9	0,31	1,2
14	@uwelang	46	25	17	14,56	0,45	1,19
15	@limesoda	34	27	88	12,85	0,4	1,14
16	@davidorcamuriel	11	9	100	37,53	1,16	1,11
17	@fabio	19	10	95	28,98	0,89	0,95
18	@vikisecrets	37	28	30	9,89	0,31	0,91
19	@reconnectnature	87	32	45	7,79	0,24	0,82
20	@deutschbot	33	20	93	12,58	0,39	0,82
21	@double-u	16	15	59	15,14	0,47	0,74
22	@argalf	99	40	32	5,33	0,16	0,7
23	@dach-support	23	21	65	9,32	0,29	0,64
24	@hendrikdegrote	6	6	5	31,9	0,98	0,63
25	@asperger-kids	34	26	66	6,97	0,22	0,59
26	@famunger	15	5	29	35,63	1,1	0,58
27	@pollux.one	55	23	22	7,45	0,23	0,56
28	@steem-bootcamp	54	43	52	3,94	0,12	0,56
29	@germansailor	53	20	74	8,11	0,25	0,53
30	@greece-lover	59	44	49	3,39	0,1	0,49
31	@pawos	32	19	89	7,54	0,23	0,47
32	@obvious	59	39	51	3,57	0,11	0,46
33	@roy2016	19	10	55	14,16	0,44	0,46
34	@followmikecee	104	54	64	2,47	0,08	0,44
35	@backinblackdevil	77	46	31	2,85	0,09	0,43
36	@reiseamateur	38	19	74	6,65	0,21	0,41
37	@jedigeiss	10	9	91	13,51	0,42	0,4
38	@schlees	33	30	44	3,74	0,12	0,37
39	@felixxx	11	10	100	11,24	0,35	0,37
40	@schlunior	151	88	16	1,24	0,04	0,36
41	@peter2017	36	21	80	4,85	0,15	0,33
42	@tiblog	39	11	96	9,1	0,28	0,33
43	@decuration	20	12	49	8,06	0,25	0,32
44	@utopian-io	3	3	3	32,44	1	0,32
45	@altobot	130	76	55	1,29	0,04	0,32
46	@chriddi	47	27	86	3,41	0,11	0,3
47	@bhuz	3	3	38	27,61	0,85	0,27
48	@nidin	23	9	100	8,77	0,27	0,26
49	@jensvoigt	63	34	56	2,24	0,07	0,25
50	@taldor	67	48	41	1,49	0,05	0,23
51	@leesunmoo	4	4	100	16,98	0,52	0,22
52	@vladimir-simovic	34	13	48	5,17	0,16	0,22
53	@smartcoins	34	18	43	3,71	0,11	0,22
54	@saamychristen	44	15	79	4,3	0,13	0,21
55	@kamikaze	4	4	96	15,65	0,48	0,21
56	@lotto-austria	34	13	69	4,7	0,15	0,2
57	@gutenmorgen	74	36	68	1,59	0,05	0,19
58	@stoecklin	35	21	51	2,66	0,08	0,18
59	@berndpfeiffer	37	30	100	1,81	0,06	0,18
60	@stayoutoftherz	28	12	57	4,46	0,14	0,18
61	@cobalus	34	26	100	2,08	0,06	0,18
62	@redes	5	5	18	10,95	0,34	0,18
63	@alexis555	5	4	17	14	0,43	0,18
64	@lizanomadsoul	30	14	32	3,73	0,12	0,17
65	@makney	47	35	61	1,51	0,05	0,17
66	@bue	30	26	100	1,89	0,06	0,16
67	@hforstner	46	34	68	1,48	0,05	0,16
68	@schreiblust	36	28	77	1,72	0,05	0,16
69	@louis88	31	21	87	2,17	0,07	0,15
70	@lafona-miner	5	5	18	9,09	0,28	0,15
71	@kobold-djawa	13	11	89	4,25	0,13	0,15
72	@alexvan	52	23	30	2,04	0,06	0,15
73	@sirvotesalot	2	2	100	23,38	0,72	0,15
74	@afrog	11	7	99	6,04	0,19	0,14
75	@artpoet	25	13	73	3,37	0,1	0,14
76	@oendertuerk	22	12	36	3,22	0,1	0,13
77	@kissi	37	22	97	1,76	0,05	0,13
78	@eisenbart	35	15	96	2,59	0,08	0,13
79	@theobaldjoachim	43	26	82	1,54	0,05	0,13
80	@tincho	5	4	66	9,23	0,28	0,12
81	@oldtimer	4	2	77	18,51	0,57	0,12
82	@kam.ila	10	8	82	4,45	0,14	0,12
83	@lauch3d	21	11	100	3,3	0,1	0,12
84	@wienermelange	22	13	86	2,83	0,09	0,12
85	@kadna	44	31	54	1,14	0,04	0,12
86	@airbud23	4	4	66	9,1	0,28	0,12
87	@slowwalker	3	1	46	34,03	1,05	0,11
88	@akashas	46	27	59	1,29	0,04	0,11
89	@matt-a	2	2	78	16,63	0,51	0,11
90	@folker-wulff	47	19	42	1,73	0,05	0,11
91	@love-your-wild	26	20	100	1,69	0,05	0,11
92	@sevenseals	27	9	67	3,77	0,12	0,11
93	@patternbot	34	32	70	0,93	0,03	0,1
94	@mammasitta	7	5	63	6,09	0,19	0,1
95	@jesseluther	10	7	100	4,21	0,13	0,1
96	@rivalzzz	30	20	63	1,45	0,04	0,1
97	@steemstem	5	5	18	6,13	0,19	0,1
98	@fundition	1	1	32	30,29	0,94	0,1
99	@diana.feuerberg	39	13	98	2,22	0,07	0,09
100	@condeas	42	19	88	1,44	0,04	0,09
101	@welovesteemit	8	6	100	4,78	0,15	0,09
102	@carolinmatthie	36	31	59	0,89	0,03	0,09
103	@adsactly	1	1	40	25,53	0,79	0,08
104	@tufkat	5	3	85	7,88	0,24	0,08
105	@pi1000	3	3	74	7,82	0,24	0,08
106	@derbesserwisser	37	29	51	0,87	0,03	0,08
107	@warofcraft	17	14	21	1,76	0,05	0,08
108	@lebenaufachsen	29	20	74	1,16	0,04	0,08
109	@k3lda	26	16	95	1,32	0,04	0,07
110	@lovablesoul	24	19	99	1,14	0,04	0,07
111	@blockops	3	3	74	6,99	0,22	0,07
112	@jcbit	4	3	88	7,55	0,23	0,07
113	@justtryme90	5	5	18	4,15	0,13	0,07
114	@markus.light	31	23	70	0,97	0,03	0,07
115	@ai01	2	2	84	10,86	0,34	0,07
116	@mangos	4	4	15	5,27	0,16	0,07
117	@xeldal	1	1	32	21,57	0,67	0,07
118	@kylemacmac	5	4	92	5,31	0,16	0,07
119	@schererf	21	15	19	1,35	0,04	0,07
120	@mwfiae	26	10	95	2,28	0,07	0,07
121	@oliverschmid	10	9	91	2,49	0,08	0,07
122	@warjar	5	5	75	4,15	0,13	0,07
123	@happy.food.life	25	23	100	0,99	0,03	0,07
124	@steinreich	40	16	36	1,05	0,03	0,06
125	@fucktime	2	2	68	8,97	0,28	0,06
126	@anomadsoul	2	2	18	8,54	0,26	0,06
127	@abigail-dantes	5	5	18	3,37	0,1	0,06
128	@davidding	1	1	100	19,48	0,6	0,06
129	@tomhall	24	13	60	1,49	0,05	0,06
130	@sabine-reichert	23	10	100	1,81	0,06	0,06
131	@betterthanhome	29	15	51	0,95	0,03	0,05
132	@bigbot	23	17	100	0,87	0,03	0,05
133	@franksteffen	40	32	100	0,44	0,01	0,05
134	@broncnutz	2	1	100	16,67	0,51	0,05
135	@kaylinart	3	3	56	4,72	0,15	0,05
136	@travelwithus	22	10	76	1,47	0,05	0,05
137	@miketr	27	5	96	2,94	0,09	0,05
138	@roused	10	8	88	2	0,06	0,05
139	@xels	10	5	95	2,92	0,09	0,05
140	@masterthematrix	15	6	86	2,57	0,08	0,05
141	@ace108	7	5	13	3,05	0,09	0,05
142	@litrbooh	6	5	100	3,09	0,1	0,05
143	@knircky	3	1	100	16,05	0,5	0,05
144	@lulafleur	42	36	52	0,4	0,01	0,05
145	@candyboy	1	1	53	13,83	0,43	0,05
146	@stehaller	37	18	100	0,84	0,03	0,05
147	@ripperone	3	3	14	5,09	0,16	0,05
148	@mat1973	28	1	100	15,58	0,48	0,05
149	@bearded-benjamin	20	14	65	0,8	0,02	0,04
150	@thomasheindl	28	15	80	0,84	0,03	0,04
151	@allyouneedtoknow	14	6	58	2,18	0,07	0,04
152	@xopus	4	4	81	3,33	0,1	0,04
153	@kini1886	18	15	83	0,74	0,02	0,04
154	@brandonp	6	5	86	2,72	0,08	0,04
155	@dotwin1981	53	26	25	0,52	0,02	0,04
156	@ludorum	4	3	100	4,4	0,14	0,04
157	@laraventure	21	10	90	1,12	0,03	0,04
158	@deutsch-boost	45	21	69	0,53	0,02	0,04
159	@dreimaldad	31	10	69	1,17	0,04	0,04
160	@thepe	21	14	100	0,84	0,03	0,04
161	@eikejanssen	30	13	85	0,89	0,03	0,04
162	@sebescen81	32	15	67	0,74	0,02	0,04
163	@urdreamscometrue	37	25	29	0,49	0,02	0,04
164	@erniegreenhill	24	21	100	0,61	0,02	0,04
165	@detlev	23	10	30	1,22	0,04	0,04
166	@newhope	2	2	14	5,6	0,17	0,04
167	@therealwolf	3	2	84	6,31	0,19	0,04
168	@flipstar	5	4	88	3,08	0,1	0,04
169	@huch	6	4	100	2,86	0,09	0,04
170	@spirits4you	14	8	70	1,1	0,03	0,03
171	@steemit-jp	2	2	8	3,87	0,12	0,03
172	@ilikeit	43	18	50	0,43	0,01	0,03
173	@melvin7	32	16	100	0,63	0,02	0,03
174	@steemflower	40	24	100	0,4	0,01	0,03
175	@claudiop63	3	3	100	3,05	0,09	0,03
176	@luegenbaron	19	12	86	0,79	0,02	0,03
177	@uzgo	2	2	100	4,79	0,15	0,03
178	@spotlight	2	2	100	3,85	0,12	0,03
179	@chris4210	5	3	100	3,53	0,11	0,03
180	@steem-id	8	6	100	1,62	0,05	0,03
181	@flugschwein	14	13	94	0,64	0,02	0,03
182	@agar	2	2	100	3,95	0,12	0,03
183	@nasgu	4	4	78	2,32	0,07	0,03
184	@nissla	13	11	100	0,81	0,03	0,03
185	@brixter	22	7	58	1,27	0,04	0,03
186	@ourdailyboard	3	3	100	2,93	0,09	0,03
187	@i-d	6	5	100	1,89	0,06	0,03
188	@smy	2	2	100	3,88	0,12	0,03
189	@nikokafka	4	4	100	2,28	0,07	0,03
190	@teukumukhlis	5	5	100	1,98	0,06	0,03
191	@endracsho	12	10	94	0,87	0,03	0,03
192	@canadian-coconut	2	1	12	8,54	0,26	0,03
193	@nain	3	3	100	2,69	0,08	0,03
194	@cervisia	23	4	82	1,97	0,06	0,03
195	@curie	6	6	5	1,65	0,05	0,03
196	@snackaholic	37	15	80	0,59	0,02	0,03
197	@sco	9	9	100	1,12	0,03	0,03
198	@privateinvestor	3	3	100	2,73	0,08	0,03
199	@skenan	4	4	100	2,07	0,06	0,03
200	@pipurilla	21	11	44	0,7	0,02	0,03

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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	@minnowbooster	6	4	44	188,3	5,81	2,47
2	@boomerang	15	9	12	80,89	2,5	2,39
3	@buildawhale	8	5	8	114,94	3,55	1,88
4	@jerrybanfield	10	7	10	63,34	1,96	1,45
5	@booster	7	6	6	42,63	1,32	0,84
6	@smartsteem	5	4	5	60,04	1,85	0,79
7	@rocky1	5	5	6	44,85	1,38	0,74
8	@busy.pay	20	7	4	31,68	0,98	0,73
9	@postpromoter	5	4	3	43,62	1,35	0,57
10	@appreciator	2	2	9	50,61	1,56	0,33
11	@therising	4	3	8	33,58	1,04	0,33
12	@tipu	9	3	10	31,4	0,97	0,31
13	@austroboost	30	16	80	4,96	0,15	0,26
14	@upme	4	3	4	26,73	0,83	0,26
15	@sneaky-ninja	3	3	17	15,28	0,47	0,15
16	@promobot	1	1	36	30,83	0,95	0,1
17	@drotto	44	39	2	0,69	0,02	0,09
18	@brupvoter	7	3	13	7,59	0,23	0,07
19	@emperorofnaps	3	3	8	6,34	0,2	0,06
20	@oceanwhale	5	3	12	5,1	0,16	0,05
21	@busy.org	22	12	1	1,33	0,04	0,05

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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.