TOP 200 effective Steemit curators in Deutsch category for the last week (2018.04.23-2018.04.29)

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	1390	5830	46613	3,931
2	spanish	2212	4816	14306	1,207
3	deutsch	385	1100	7957	0,671
4	cn	304	1149	7736	0,652
5	tr	279	926	7691	0,649
6	ita	173	497	5637	0,475
7	myanmar	167	556	3513	0,296
8	fr	124	350	3004	0,253
9	indonesia	771	2059	2887	0,244
10	japanese	148	495	2589	0,218
11	pt	112	381	2307	0,195
12	thai	144	474	1656	0,14

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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386 authors published their posts during this week.

5752 accounts participated in the content curating according to information from the database.

18418 votes were made during this week.

6688,24 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	@shaka	82	59	22	394,2	5,89	60,25
2	@redpalestino	55	44	26	306,85	4,59	34,98
3	@twinner	68	48	32	187,01	2,8	23,26
4	@theaustrianguy	35	29	74	176,5	2,64	13,26
5	@reggaemuffin	14	6	71	658,72	9,85	10,24
6	@freiheit50	119	43	85	72,93	1,09	8,12
7	@hr1	119	76	0	40,62	0,61	8
8	@balte	114	51	32	37,91	0,57	5,01
9	@dach-support	49	36	70	53,05	0,79	4,95
10	@jaki01	11	10	93	175,22	2,62	4,54
11	@decuration	31	19	91	91,42	1,37	4,5
12	@vieanna	70	58	47	28,35	0,42	4,26
13	@fabio	24	14	94	116,83	1,75	4,24
14	@leroy.linientreu	67	44	54	36,99	0,55	4,22
15	@uwelang	36	27	30	48,35	0,72	3,38
16	@jedigeiss	19	16	83	71,31	1,07	2,96
17	@davidorcamuriel	10	10	100	96,34	1,44	2,5
18	@deutschbot	33	21	91	40,45	0,6	2,2
19	@asperger-kids	41	30	73	24,46	0,37	1,9
20	@nidin	61	20	57	36,6	0,55	1,9
21	@schamangerbert	41	25	32	28,25	0,42	1,83
22	@vikisecrets	37	21	36	28,37	0,42	1,54
23	@limesoda	32	23	68	25,43	0,38	1,52
24	@andyjaypowell	56	33	25	16,58	0,25	1,42
25	@vladimir-simovic	42	20	52	19,92	0,3	1,03
26	@schlees	36	32	46	12,43	0,19	1,03
27	@infinityroad	45	29	25	11,94	0,18	0,9
28	@freeyourmind	9	8	41	42,97	0,64	0,89
29	@jensvoigt	108	62	43	5,54	0,08	0,89
30	@reconnectnature	64	25	42	13,43	0,2	0,87
31	@felixxx	15	11	87	29,96	0,45	0,85
32	@backinblackdevil	64	39	40	7,78	0,12	0,79
33	@peter2017	39	21	83	14,25	0,21	0,78
34	@xeldal	4	2	21	144,1	2,15	0,75
35	@someonewhoisme	9	7	40	40,67	0,61	0,74
36	@argalf	51	34	56	7,74	0,12	0,68
37	@schererf	71	32	15	7,69	0,11	0,64
38	@drtobi18	25	13	81	18,7	0,28	0,63
39	@folker-wulff	81	54	19	4,33	0,06	0,61
40	@double-u	11	8	64	27,91	0,42	0,58
41	@germansailor	33	16	86	13,64	0,2	0,57
42	@altobot	87	57	60	3,78	0,06	0,56
43	@alexvan	58	26	24	8,21	0,12	0,55
44	@dirkzett	11	10	76	19,08	0,29	0,49
45	@saamychristen	41	13	76	14,25	0,21	0,48
46	@pharesim	17	15	0	12,45	0,19	0,48
47	@obvious	41	28	58	6,27	0,09	0,45
48	@makney	61	44	42	3,6	0,05	0,41
49	@afrog	13	10	100	15,43	0,23	0,4
50	@laraventure	45	26	74	5,81	0,09	0,39
51	@happy.food.life	44	29	98	4,79	0,07	0,36
52	@davidding	3	3	28	46,3	0,69	0,36
53	@oendertuerk	36	16	22	8,05	0,12	0,33
54	@knircky	6	2	75	58,72	0,88	0,3
55	@reiseamateur	36	20	44	5,87	0,09	0,3
56	@akashas	62	33	29	3,53	0,05	0,3
57	@kobold-djawa	12	11	93	10,4	0,16	0,3
58	@pawos	17	10	78	11,09	0,17	0,29
59	@artpoet	24	18	76	6,21	0,09	0,29
60	@famunger	8	3	25	36,78	0,55	0,29
61	@cobalus	25	18	100	6,05	0,09	0,28
62	@v4vapid	1	1	100	103,63	1,55	0,27
63	@stoecklin	22	17	83	6,21	0,09	0,27
64	@luegenbaron	45	31	59	3,21	0,05	0,26
65	@eikejanssen	48	22	77	4,32	0,06	0,25
66	@chriddi	29	20	97	4,35	0,07	0,23
67	@wienermelange	24	17	54	5,25	0,08	0,23
68	@oliverschmid	18	11	72	7,25	0,11	0,21
69	@stayoutoftherz	14	10	53	7,7	0,12	0,2
70	@eisenbart	35	14	92	5,49	0,08	0,2
71	@dzone	129	58	1	1,29	0,02	0,19
72	@kissi	37	23	88	3,25	0,05	0,19
73	@roy2016	9	4	53	17,09	0,26	0,18
74	@steemchiller	10	10	100	7,01	0,1	0,18
75	@snowflake	3	3	66	21,69	0,32	0,17
76	@love-your-wild	26	21	93	3,21	0,05	0,17
77	@lichtblick	6	5	31	12,91	0,19	0,17
78	@rivalzzz	35	20	46	3,07	0,05	0,16
79	@arama	2	2	51	30,56	0,46	0,16
80	@roused	15	13	78	4,65	0,07	0,16
81	@nicoletta	11	8	85	7	0,1	0,15
82	@mwfiae	29	8	100	7,09	0,11	0,15
83	@welcoming	4	4	66	14,68	0,22	0,15
84	@mikenero	19	10	33	5,81	0,09	0,15
85	@kelte	26	19	100	3,13	0,05	0,15
86	@lotto-austria	28	11	60	4,84	0,07	0,14
87	@louis88	27	20	75	2,7	0,04	0,14
88	@shortcut	10	7	52	7,8	0,12	0,14
89	@thepe	26	15	100	3,32	0,05	0,13
90	@candyboy	3	2	12	24,53	0,37	0,13
91	@berndpfeiffer	24	19	90	2,7	0,04	0,13
92	@k3lda	25	16	98	2,83	0,04	0,12
93	@appics	1	1	100	44,97	0,67	0,12
94	@flurgx	7	7	100	6,56	0,1	0,12
95	@yaraha	24	20	100	2,38	0,04	0,12
96	@peaceandlove	4	4	38	11,62	0,17	0,12
97	@steemzeiger	24	17	69	2,67	0,04	0,12
98	@gammastern	30	21	100	2,02	0,03	0,11
99	@fminerten	1	1	100	38,47	0,58	0,1
100	@taldor	60	37	27	1,07	0,02	0,1
101	@lianaakobian	18	15	100	2,49	0,04	0,1
102	@kam.ila	6	5	75	7,86	0,12	0,1
103	@winmental	22	16	100	2,53	0,04	0,1
104	@solenn	6	5	100	7,84	0,12	0,1
105	@bleujay	2	2	100	17,96	0,27	0,09
106	@markus.light	34	16	65	2,29	0,03	0,09
107	@nissla	20	14	98	2,52	0,04	0,09
108	@punkbuster	3	3	93	11,54	0,17	0,09
109	@pepelotzki	20	14	100	2,52	0,04	0,09
110	@felix.herrmann	34	17	80	1,84	0,03	0,08
111	@miketr	36	5	98	6,55	0,1	0,08
112	@flugschwein	16	15	97	2,12	0,03	0,08
113	@cryptonator	23	6	100	5,36	0,08	0,08
114	@lichtcatchtoby	21	13	95	2,37	0,04	0,08
115	@redes	3	2	15	15,07	0,23	0,08
116	@huch	8	3	100	8,62	0,13	0,07
117	@dotwin1981	75	36	37	0,74	0,01	0,07
118	@travelwithus	13	9	100	2,85	0,04	0,07
119	@habib352	5	5	64	5,26	0,08	0,07
120	@irgendwo	20	13	100	2,08	0,03	0,07
121	@surpassinggoogle	1	1	20	25,62	0,38	0,07
122	@mcsvi	7	3	100	9,48	0,14	0,07
123	@marketstack	33	26	1	0,97	0,01	0,07
124	@stehaller	38	17	100	1,49	0,02	0,07
125	@serylt	22	14	69	1,89	0,03	0,07
126	@steempty	1	1	100	23,31	0,35	0,06
127	@brixter	15	6	87	3,58	0,05	0,06
128	@detlev	21	7	40	3,38	0,05	0,06
129	@chris4210	4	3	100	8,01	0,12	0,06
130	@endracsho	10	10	100	2,32	0,03	0,06
131	@ripperone	2	2	18	11,38	0,17	0,06
132	@zitronenstern	22	21	100	1,13	0,02	0,06
133	@steemlover	4	4	89	5,41	0,08	0,06
134	@neuvorstellungen	23	23	100	1,07	0,02	0,06
135	@steemit.nemesis	20	17	100	1,29	0,02	0,06
136	@kadna	33	25	100	0,9	0,01	0,06
137	@bearded-benjamin	13	11	100	2,18	0,03	0,06
138	@sabine-reichert	10	8	100	2,42	0,04	0,05
139	@security101	12	8	63	2,42	0,04	0,05
140	@followbtcnews	3	2	69	9,67	0,14	0,05
141	@blockops	2	2	57	8,85	0,13	0,05
142	@erniegreenhill	34	25	100	0,78	0,01	0,05
143	@me-do	22	11	58	1,71	0,03	0,05
144	@annikafried	15	11	100	1,85	0,03	0,05
145	@anneadam	25	19	100	0,97	0,01	0,05
146	@maxinpower	12	10	57	1,89	0,03	0,05
147	@lizanomadsoul	11	7	39	2,57	0,04	0,05
148	@oldtimer	1	1	80	20,19	0,3	0,05
149	@misomaniac	14	9	97	2,24	0,03	0,05
150	@team	6	6	10	3,11	0,05	0,05
151	@lauch3d	7	6	100	3,28	0,05	0,05
152	@sabrina.jayharp	25	16	100	0,97	0,01	0,04
153	@kus-knee	3	2	17	7,13	0,11	0,04
154	@isarmoewe	27	26	100	0,64	0,01	0,04
155	@sonci	14	10	56	1,48	0,02	0,04
156	@naturicia	13	9	96	1,55	0,02	0,04
157	@looktothefuture	3	3	23	4,97	0,07	0,04
158	@enki	1	1	55	15,77	0,24	0,04
159	@fabien	1	1	100	15,12	0,23	0,04
160	@istiaq69	3	3	100	4,55	0,07	0,04
161	@beesteem	3	3	100	4,52	0,07	0,04
162	@airbud23	2	2	46	8,36	0,12	0,04
163	@isnochys	21	16	27	0,94	0,01	0,04
164	@okean123	9	6	100	2,55	0,04	0,04
165	@warofcraft	4	4	39	4,08	0,06	0,04
166	@flipstar	2	2	62	7,94	0,12	0,04
167	@mangos	2	2	18	7,54	0,11	0,04
168	@parzifal1	33	18	84	0,82	0,01	0,04
169	@steinreich	33	11	23	1,51	0,02	0,04
170	@jkiw	14	12	78	1,25	0,02	0,04
171	@slowwalker	1	1	21	16,12	0,24	0,04
172	@maxpatternman	15	12	100	0,93	0,01	0,03
173	@cloudlynx	27	16	100	0,76	0,01	0,03
174	@mammasitta	4	3	22	3,73	0,06	0,03
175	@betterthanhome	13	11	53	0,88	0,01	0,03
176	@tomhall	35	16	10	0,71	0,01	0,03
177	@ocd	2	2	32	6,32	0,09	0,03
178	@vcelier	1	1	32	11,6	0,17	0,03
179	@rebeccaontheroof	30	19	100	0,6	0,01	0,03
180	@greece-lover	14	4	89	2,79	0,04	0,03
181	@lunix	16	13	100	0,9	0,01	0,03
182	@sebescen81	26	12	88	1,04	0,02	0,03
183	@yoganarchista	5	3	75	4,23	0,06	0,03
184	@deusericius	10	8	95	1,52	0,02	0,03
185	@variola	19	16	100	0,77	0,01	0,03
186	@relationtrip	9	7	100	1,62	0,02	0,03
187	@bhuz	2	2	4	6,08	0,09	0,03
188	@donkeypong	1	1	10	9,85	0,15	0,03
189	@corazen	39	25	62	0,48	0,01	0,03
190	@enlil	1	1	62	11,14	0,17	0,03
191	@steemflower	20	18	100	0,61	0,01	0,03
192	@ashe-oro	1	1	100	11,42	0,17	0,03
193	@steps	3	3	72	3,46	0,05	0,03
194	@dirkzett-english	3	2	100	6,73	0,1	0,03
195	@pipurilla	15	12	29	0,86	0,01	0,03
196	@matt-a	1	1	44	13,33	0,2	0,03
197	@problemkind	9	7	100	1,86	0,03	0,03
198	@penguinpablo	4	2	12	6,4	0,1	0,03
199	@tuvokhl	8	5	45	1,32	0,02	0,02
200	@xaero1	1	1	9	6,69	0,1	0,02

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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	10	8	15	726,29	10,86	15,05
2	@smartsteem	11	9	4	257,53	3,85	6
3	@boomerang	13	9	6	99,76	1,49	2,33
4	@austroboost	32	24	64	10,25	0,15	0,64
5	@rocky1	6	3	3	77,34	1,16	0,6
6	@therising	9	6	2	33,95	0,51	0,53
7	@appreciator	6	4	2	50,22	0,75	0,52
8	@buildawhale	5	3	2	66,26	0,99	0,51
9	@jerrybanfield	7	3	5	39,85	0,6	0,31
10	@upmyvote	6	4	4	27,5	0,41	0,28
11	@busy.org	28	11	0	7,38	0,11	0,21
12	@booster	5	3	2	21,54	0,32	0,17
13	@upmewhale	5	4	3	13,93	0,21	0,14
14	@postpromoter	2	1	3	51,17	0,77	0,13
15	@estabond	4	3	13	13,86	0,21	0,11
16	@steemvote	17	2	98	19,16	0,29	0,1
17	@sneaky-ninja	3	3	4	9,99	0,15	0,08
18	@busy.pay	10	2	1	10,12	0,15	0,05
19	@emperorofnaps	2	2	6	5,31	0,08	0,03

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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.