TOP 200 effective Steemit curators in Deutsch category for the last week (2018.06.04-2018.06.10)

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	1211	4508	19475,3430000001	2,711
2	spanish	2074	4353	9139,67700000009	1,272
3	deutsch	380	1227	6305,179	0,878
4	tr	274	859	5174,829	0,72
5	cn	222	736	3649,151	0,508
6	ita	134	422	3362,776	0,468
7	japanese	156	516	2590,803	0,361
8	indonesia	567	1503	1803,316	0,251
9	pt	111	338	1673,641	0,233
10	myanmar	147	411	1439,333	0,2
11	polish	244	564	1278,988	0,178
12	fr	113	308	1129,713	0,157

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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380 authors published their posts during this week.

6624 accounts participated in the content curating according to information from the database.

29078 votes were made during this week.

6314,06 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	@twinner	326	161	13	168,6	2,67	71,43
2	@redpalestino	39	30	33	170,51	2,7	13,46
3	@shaka	43	30	33	155,56	2,46	12,28
4	@theaustrianguy	52	36	62	127,03	2,01	12,03
5	@reggaemuffin	14	5	94	482,06	7,63	6,34
6	@jaki01	18	14	96	171,14	2,71	6,31
7	@freiheit50	141	43	73	47,62	0,75	5,39
8	@hr1	122	77	0	23,73	0,38	4,81
9	@decuration	45	25	49	62,13	0,98	4,09
10	@leroy.linientreu	77	50	66	30,74	0,49	4,04
11	@dach-support	55	46	68	33,29	0,53	4,03
12	@davidorcamuriel	17	13	100	91,1	1,44	3,12
13	@vieanna	69	45	71	22,32	0,35	2,64
14	@balte	110	65	32	15,4	0,24	2,63
15	@jedigeiss	26	19	77	51,3	0,81	2,56
16	@dzone	186	71	13	12,81	0,2	2,39
17	@pharesim	72	37	0	24,17	0,38	2,35
18	@limesoda	43	34	98	22,19	0,35	1,99
19	@deutschbot	47	27	86	28,01	0,44	1,99
20	@schamangerbert	58	32	32	22,62	0,36	1,9
21	@fabio	19	12	95	57,74	0,91	1,82
22	@backinblackdevil	135	69	47	9,63	0,15	1,75
23	@uwelang	52	28	14	22,52	0,36	1,66
24	@andyjaypowell	73	42	34	14,8	0,23	1,64
25	@schlees	66	49	45	12,46	0,2	1,61
26	@vikisecrets	50	32	31	18,71	0,3	1,58
27	@reconnectnature	98	39	42	11,38	0,18	1,17
28	@davidding	6	5	47	88,04	1,39	1,16
29	@utopian-io	5	4	3	98,24	1,56	1,03
30	@afrog	31	15	100	24,09	0,38	0,95
31	@lichtblick	34	22	16	16,02	0,25	0,93
32	@asperger-kids	43	29	60	11,88	0,19	0,91
33	@pawos	40	25	73	13,2	0,21	0,87
34	@argalf	86	50	38	6,52	0,1	0,86
35	@famunger	25	4	26	75,88	1,2	0,8
36	@snowflake	11	9	79	32,79	0,52	0,78
37	@pollux.one	65	23	21	12,43	0,2	0,75
38	@fucktime	7	6	68	45,09	0,71	0,71
39	@steempress-io	12	4	4	66,06	1,05	0,7
40	@knircky	6	5	100	47,94	0,76	0,63
41	@schererf	110	36	14	6,5	0,1	0,62
42	@germansailor	46	23	81	9,89	0,16	0,6
43	@tiblog	60	21	75	8,8	0,14	0,49
44	@obvious	51	33	52	5,26	0,08	0,46
45	@alexvan	77	28	30	6,26	0,1	0,46
46	@reiseamateur	44	24	55	7,25	0,11	0,46
47	@someonewhoisme	8	7	83	23,9	0,38	0,44
48	@smartcoins	45	32	23	5,08	0,08	0,43
49	@cryptomancer	7	6	88	26,7	0,42	0,42
50	@double-u	13	9	65	17,11	0,27	0,41
51	@hendrikdegrote	5	4	4	36,75	0,58	0,39
52	@nidin	25	10	100	14,85	0,24	0,39
53	@bue	48	40	100	3,64	0,06	0,38
54	@blockops	7	6	80	23,82	0,38	0,38
55	@saamychristen	43	17	79	8,6	0,14	0,38
56	@happy.food.life	56	34	100	4,11	0,07	0,37
57	@akashas	94	37	51	3,47	0,05	0,34
58	@roy2016	18	6	60	20,23	0,32	0,32
59	@sevenseals	44	16	60	7,39	0,12	0,31
60	@chriddi	46	22	100	5,31	0,08	0,31
61	@lauch3d	29	17	99	6,71	0,11	0,3
62	@altobot	90	58	63	1,97	0,03	0,3
63	@freeyourmind	7	6	67	18,88	0,3	0,3
64	@steemchiller	17	13	100	8,35	0,13	0,29
65	@kobold-djawa	16	12	100	8,85	0,14	0,28
66	@oendertuerk	36	17	30	6,01	0,1	0,27
67	@jensvoigt	89	47	35	2,02	0,03	0,25
68	@cobalus	36	21	100	4,61	0,07	0,25
69	@wienermelange	26	16	90	5,24	0,08	0,22
70	@mammasitta	11	9	46	9,36	0,15	0,22
71	@eisenbart	48	18	94	4,67	0,07	0,22
72	@anomadsoul	3	3	24	26,11	0,41	0,21
73	@kissi	42	25	100	3,02	0,05	0,2
74	@vladimir-simovic	31	10	50	7,35	0,12	0,19
75	@lizanomadsoul	45	14	30	5,12	0,08	0,19
76	@newhope	4	4	16	18,05	0,29	0,19
77	@candyboy	2	2	47	35,38	0,56	0,19
78	@detlev	55	15	33	4,6	0,07	0,18
79	@makney	39	28	73	2,32	0,04	0,17
80	@peter2017	28	12	78	5,54	0,09	0,17
81	@artpoet	27	16	82	4,07	0,06	0,17
82	@lotto-austria	34	13	60	4,85	0,08	0,17
83	@huch	16	5	100	11,97	0,19	0,16
84	@markus.light	45	27	82	2,27	0,04	0,16
85	@greece-lover	32	21	95	2,92	0,05	0,16
86	@stayoutoftherz	20	9	42	6,27	0,1	0,15
87	@welovesteemit	11	7	77	8,31	0,13	0,15
88	@eikejanssen	46	21	92	2,73	0,04	0,15
89	@thomasheindl	43	31	67	1,8	0,03	0,15
90	@felixxx	6	5	100	11,37	0,18	0,15
91	@kaylinart	5	4	65	13,46	0,21	0,14
92	@rivalzzz	33	20	58	2,55	0,04	0,13
93	@modernpastor	11	5	31	10,13	0,16	0,13
94	@berndpfeiffer	34	21	100	2,43	0,04	0,13
95	@kam.ila	16	8	60	6,33	0,1	0,13
96	@steemstem	5	4	23	11,05	0,18	0,12
97	@winmental	26	21	100	1,96	0,03	0,11
98	@louis88	21	18	92	2,26	0,04	0,11
99	@lafona-miner	5	4	23	10,78	0,17	0,11
100	@steinreich	64	20	29	2	0,03	0,11
101	@sirvotesalot	2	2	58	20,82	0,33	0,11
102	@travelwithus	31	12	86	3,31	0,05	0,1
103	@acidyo	2	2	18	19,3	0,31	0,1
104	@schreiblust	51	34	100	1,11	0,02	0,1
105	@justtryme90	5	4	23	9,85	0,16	0,1
106	@nissla	27	20	92	1,81	0,03	0,1
107	@redes	4	3	17	12,45	0,2	0,1
108	@thepe	32	16	100	2,29	0,04	0,1
109	@tomhall	40	21	29	1,8	0,03	0,1
110	@nicoletta	15	7	84	5,24	0,08	0,1
111	@roused	17	10	65	3,43	0,05	0,09
112	@peaceandlove	5	5	93	6,52	0,1	0,09
113	@enigm4	32	15	98	2,24	0,04	0,09
114	@dotwin1981	85	39	28	0,9	0,01	0,09
115	@airbud23	3	3	79	12,02	0,19	0,09
116	@maxpatternman	30	19	78	1,72	0,03	0,09
117	@folker-wulff	37	24	30	1,47	0,02	0,09
118	@mangos	4	4	16	8,13	0,13	0,09
119	@stoecklin	20	13	57	2,32	0,04	0,08
120	@k3lda	27	16	96	2,01	0,03	0,08
121	@taldor	64	29	40	1,04	0,02	0,08
122	@yaraha	29	20	100	1,58	0,03	0,08
123	@endracsho	17	13	100	2,29	0,04	0,08
124	@bearded-benjamin	19	17	95	1,81	0,03	0,08
125	@vonhandfotografy	28	24	100	1,22	0,02	0,08
126	@laraventure	26	11	87	2,35	0,04	0,07
127	@masterthematrix	16	6	92	4,31	0,07	0,07
128	@weitblicker	20	16	100	1,64	0,03	0,07
129	@stehaller	35	18	100	1,46	0,02	0,07
130	@phlatattak	3	3	56	8,49	0,13	0,07
131	@love-your-wild	22	15	100	1,84	0,03	0,07
132	@ioc	4	3	60	8,31	0,13	0,07
133	@lianaakobian	19	17	100	1,3	0,02	0,06
134	@bellastella	65	23	20	0,96	0,02	0,06
135	@mwfiae	24	7	100	3,18	0,05	0,06
136	@infinityroad	16	13	52	1,78	0,03	0,06
137	@allyouneedtoknow	14	6	67	3,73	0,06	0,06
138	@parzifal1	41	27	94	0,79	0,01	0,06
139	@felix.herrmann	36	20	98	1,12	0,02	0,06
140	@abigail-dantes	4	4	28	5,85	0,09	0,06
141	@welcoming	3	3	77	7,74	0,12	0,06
142	@w74	34	21	100	1,07	0,02	0,06
143	@patternbot	40	40	62	0,59	0,01	0,06
144	@erniegreenhill	24	16	100	1,1	0,02	0,05
145	@ew-and-patterns	2	1	99	18,41	0,29	0,05
146	@brixter	40	7	50	2,98	0,05	0,05
147	@matt-a	2	2	29	9,77	0,15	0,05
148	@neuvorstellungen	23	22	50	0,91	0,01	0,05
149	@dirkzett	7	3	88	6,27	0,1	0,05
150	@flugschwein	21	15	92	1,39	0,02	0,05
151	@serylt	24	14	81	1,45	0,02	0,05
152	@xaero1	1	1	33	17,11	0,27	0,05
153	@gammastern	23	17	100	1,1	0,02	0,05
154	@djpoertsch	53	12	52	1,2	0,02	0,04
155	@steemflower	31	26	100	0,62	0,01	0,04
156	@jumowa	12	3	87	4,78	0,08	0,04
157	@anneadam	32	18	100	0,92	0,01	0,04
158	@lulafleur	44	30	54	0,57	0,01	0,04
159	@shortcut	7	5	53	3,13	0,05	0,04
160	@misomaniac	14	11	100	1,26	0,02	0,04
161	@melvin7	30	17	100	0,9	0,01	0,04
162	@zitronenstern	26	21	100	0,78	0,01	0,04
163	@pipurilla	28	11	39	1,27	0,02	0,04
164	@kati1971	19	11	100	1,39	0,02	0,04
165	@dick.sledge	33	22	1	0,67	0,01	0,04
166	@vortac	7	2	7	7,89	0,12	0,04
167	@anastasia-s	11	7	89	2	0,03	0,04
168	@maarnio	10	8	16	1,67	0,03	0,04
169	@betterthanhome	31	12	56	1,35	0,02	0,04
170	@luna33	10	7	100	2,24	0,04	0,04
171	@uzgo	2	2	100	7,52	0,12	0,04
172	@making-miles	17	13	83	1,09	0,02	0,04
173	@swissclive	2	2	100	8,08	0,13	0,04
174	@flipstar	5	3	61	3,52	0,06	0,03
175	@fratheone	45	16	100	0,81	0,01	0,03
176	@ilikeit	55	11	50	0,87	0,01	0,03
177	@urukai	29	13	100	0,86	0,01	0,03
178	@maxinpower	12	6	80	1,9	0,03	0,03
179	@smileyinvest	45	21	40	0,49	0,01	0,03
180	@opaulo	20	7	10	1,71	0,03	0,03
181	@warofcraft	6	6	30	1,62	0,03	0,03
182	@sabine-reichert	13	7	100	1,64	0,03	0,03
183	@ccsbot	8	5	100	2,35	0,04	0,03
184	@homeartpictures	11	7	78	1,63	0,03	0,03
185	@thomashinze	24	14	100	0,82	0,01	0,03
186	@solenn	7	2	100	4,99	0,08	0,03
187	@smy	2	2	100	5,98	0,09	0,03
188	@melbookermusic	11	7	94	1,39	0,02	0,03
189	@steem.services	2	2	66	5,75	0,09	0,03
190	@steem-bootcamp	14	11	100	1,03	0,02	0,03
191	@lexiconical	4	4	100	2,92	0,05	0,03
192	@nodex	45	24	100	0,45	0,01	0,03
193	@security101	9	6	100	1,65	0,03	0,03
194	@errymil	10	6	100	1,73	0,03	0,03
195	@jesseluther	5	4	100	2,94	0,05	0,03
196	@delorean1985	3	3	66	3,17	0,05	0,03
197	@miketr	35	3	94	4,17	0,07	0,03
198	@arcange	20	10	2	1,2	0,02	0,03
199	@achim86	10	3	50	3,19	0,05	0,03
200	@oldtimer	1	1	100	9,57	0,15	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	12	10	44	493,08	7,81	12,98
2	@boomerang	39	15	7	207,37	3,28	8,19
3	@smartsteem	15	9	6	301,42	4,77	7,14
4	@booster	17	7	6	169,57	2,69	3,12
5	@buildawhale	15	6	5	191,95	3,04	3,03
6	@rocky1	16	6	5	175,73	2,78	2,77
7	@therising	14	6	6	114,04	1,81	1,8
8	@upme	5	4	11	123,99	1,96	1,31
9	@postpromoter	4	4	6	108,19	1,71	1,14
10	@austroboost	43	31	75	12,48	0,2	1,02
11	@promobot	2	2	42	111,91	1,77	0,59
12	@mercurybot	16	9	6	15,55	0,25	0,37
13	@upmewhale	6	5	3	27,01	0,43	0,36
14	@appreciator	4	3	2	37,61	0,6	0,3
15	@tipu	8	4	7	26,42	0,42	0,28
16	@emperorofnaps	5	4	15	23,68	0,38	0,25
17	@jerrybanfield	7	5	4	14,82	0,23	0,19
18	@sneaky-ninja	8	6	3	10,54	0,17	0,17
19	@drotto	49	45	1	1,09	0,02	0,13
20	@minnowsupport	21	17	0	1,79	0,03	0,08
21	@cheetah	65	31	0	0,65	0,01	0,05
22	@onlyprofitbot	4	4	29	3,33	0,05	0,04

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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.