TOP 200 effective Steemit curators in Deutsch 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 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	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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361 authors published their posts during this week.

6386 accounts participated in the content curating according to information from the database.

27056 votes were made during this week.

6291,77 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	263	148	12	186,82	2,97	76,59
2	@shaka	92	71	19	207,02	3,29	40,72
3	@theaustrianguy	51	37	64	130,7	2,08	13,4
4	@reggaemuffin	20	7	89	687,01	10,92	13,32
5	@redpalestino	38	26	29	156,33	2,48	11,26
6	@freiheit50	145	57	65	49,25	0,78	7,78
7	@jaki01	16	13	94	155,17	2,47	5,59
8	@vieanna	86	69	57	25,33	0,4	4,84
9	@balte	125	67	34	18,77	0,3	3,48
10	@decuration	37	21	87	59,25	0,94	3,45
11	@leroy.linientreu	75	45	53	26,47	0,42	3,3
12	@davidding	10	9	35	115,03	1,83	2,87
13	@davidorcamuriel	15	12	100	85,09	1,35	2,83
14	@hr1	81	60	0	16,6	0,26	2,76
15	@limesoda	50	39	82	24,71	0,39	2,67
16	@dzone	157	68	14	10,68	0,17	2,01
17	@pharesim	65	28	0	23,67	0,38	1,84
18	@deutschbot	41	24	87	26,76	0,43	1,78
19	@backinblackdevil	128	81	42	7,74	0,12	1,74
20	@uwelang	51	23	18	26,91	0,43	1,71
21	@jedigeiss	19	14	80	40,75	0,65	1,58
22	@lichtblick	44	19	17	30,09	0,48	1,58
23	@andyjaypowell	76	43	26	12,73	0,2	1,52
24	@vikisecrets	47	28	30	18,95	0,3	1,47
25	@snowflake	14	12	67	40,68	0,65	1,35
26	@famunger	29	6	21	77,4	1,23	1,29
27	@reconnectnature	99	40	35	11,17	0,18	1,24
28	@dach-support	23	20	97	21,05	0,33	1,17
29	@steempress-io	23	5	6	83,74	1,33	1,16
30	@xeldal	5	5	16	80,07	1,27	1,11
31	@someonewhoisme	14	10	67	39,36	0,63	1,09
32	@pollux.one	64	20	28	18,82	0,3	1,04
33	@schamangerbert	39	24	32	15,47	0,25	1,03
34	@schlees	48	34	49	10,68	0,17	1,01
35	@asperger-kids	37	22	69	12,93	0,21	0,79
36	@pawos	38	28	48	8,97	0,14	0,7
37	@argalf	82	47	38	5,12	0,08	0,67
38	@jensvoigt	107	56	37	3,89	0,06	0,6
39	@fabio	11	5	100	39,28	0,62	0,54
40	@felixxx	12	9	92	21,09	0,34	0,53
41	@reiseamateur	49	28	53	6,65	0,11	0,52
42	@obvious	45	31	61	5,85	0,09	0,5
43	@germansailor	43	16	78	11	0,17	0,49
44	@altobot	108	67	63	2,56	0,04	0,48
45	@schererf	83	34	13	4,84	0,08	0,46
46	@freeyourmind	7	6	86	25,9	0,41	0,43
47	@nidin	31	9	89	17,24	0,27	0,43
48	@knircky	9	2	100	75,39	1,2	0,42
49	@saamychristen	51	17	72	8,68	0,14	0,41
50	@afrog	17	10	100	14,27	0,23	0,4
51	@alexvan	79	25	25	5,62	0,09	0,39
52	@oendertuerk	34	16	40	8,5	0,14	0,38
53	@kobold-djawa	18	14	95	9,64	0,15	0,37
54	@thejohalfiles	1	1	100	130,68	2,08	0,36
55	@tiblog	58	21	57	6,21	0,1	0,36
56	@bue	52	34	100	3,67	0,06	0,35
57	@solenn	23	7	100	17,42	0,28	0,34
58	@peter2017	29	18	79	6,74	0,11	0,34
59	@schlunior	51	38	66	3,12	0,05	0,33
60	@eisenbart	53	25	87	4,82	0,08	0,33
61	@roy2016	13	8	50	13,87	0,22	0,31
62	@smartcoins	41	25	22	4,54	0,07	0,31
63	@makney	51	36	69	2,98	0,05	0,3
64	@happy.food.life	50	29	100	3,6	0,06	0,29
65	@ew-and-patterns	4	4	60	24,16	0,38	0,27
66	@stoecklin	46	24	41	3,87	0,06	0,26
67	@akashas	72	30	50	3,04	0,05	0,25
68	@kam.ila	24	10	59	8,75	0,14	0,24
69	@eikejanssen	57	24	77	3,51	0,06	0,23
70	@vladimir-simovic	32	12	45	6,85	0,11	0,23
71	@sabine-reichert	36	20	92	4,03	0,06	0,22
72	@double-u	9	8	48	9,57	0,15	0,21
73	@k3lda	38	23	94	3,11	0,05	0,2
74	@chriddi	36	17	100	4,31	0,07	0,2
75	@mammasitta	11	8	35	7,94	0,13	0,18
76	@stayoutoftherz	18	8	58	8,06	0,13	0,18
77	@travelwithus	41	13	92	4,89	0,08	0,18
78	@lizanomadsoul	34	9	29	6,81	0,11	0,17
79	@kissi	37	23	97	2,48	0,04	0,16
80	@seer	5	4	96	14,69	0,23	0,16
81	@steinreich	64	19	30	2,97	0,05	0,16
82	@cobalus	28	16	100	3,57	0,06	0,16
83	@yaraha	46	24	100	2,39	0,04	0,16
84	@nissla	31	22	98	2,58	0,04	0,16
85	@fucktime	4	3	44	17,72	0,28	0,15
86	@utopian-io	3	3	1	17,04	0,27	0,14
87	@tomhall	40	20	42	2,52	0,04	0,14
88	@blockops	4	3	92	16,37	0,26	0,14
89	@kamikaze	4	4	76	11,88	0,19	0,13
90	@love-your-wild	28	20	95	2,33	0,04	0,13
91	@berndpfeiffer	28	21	100	2,02	0,03	0,12
92	@supermeatboy	4	4	76	10,5	0,17	0,12
93	@newhope	3	3	16	14,89	0,24	0,12
94	@kaylinart	5	4	68	11,23	0,18	0,12
95	@markus.light	37	26	62	1,64	0,03	0,12
96	@roused	17	11	70	3,8	0,06	0,12
97	@slowwalker	5	3	7	12,84	0,2	0,11
98	@airbud23	3	3	79	12,83	0,2	0,11
99	@rivalzzz	29	17	62	2,4	0,04	0,11
100	@steemchiller	10	8	100	4,98	0,08	0,11
101	@masterthematrix	19	9	76	4,4	0,07	0,11
102	@artpoet	20	12	69	2,87	0,05	0,1
103	@modernpastor	11	5	22	7,4	0,12	0,1
104	@xiaoliang	5	4	100	8,72	0,14	0,1
105	@thomasheindl	38	24	60	1,51	0,02	0,1
106	@sevenseals	30	7	63	5,21	0,08	0,1
107	@smy	4	3	100	12,39	0,2	0,1
108	@chris4210	7	4	100	8,6	0,14	0,1
109	@inceptionally	4	3	95	10,38	0,16	0,09
110	@lotto-austria	32	9	65	3,52	0,06	0,09
111	@dotwin1981	86	37	29	0,92	0,01	0,09
112	@bearded-benjamin	20	16	100	2,06	0,03	0,09
113	@shortcut	9	9	39	3,62	0,06	0,09
114	@hossary	5	5	100	6,52	0,1	0,09
115	@serylt	34	18	61	1,55	0,02	0,08
116	@cryptomancer	2	2	88	13,9	0,22	0,08
117	@thepe	26	14	100	2,04	0,03	0,08
118	@oldtimer	2	2	55	13,87	0,22	0,08
119	@gammastern	26	20	100	1,43	0,02	0,08
120	@lauch3d	15	8	100	3,74	0,06	0,08
121	@mwfiae	26	10	93	2,97	0,05	0,08
122	@ripperone	3	3	18	10,01	0,16	0,08
123	@zitronenstern	31	26	100	1,05	0,02	0,08
124	@infinityroad	20	15	39	1,68	0,03	0,07
125	@louis88	18	13	97	2,08	0,03	0,07
126	@jkiw	15	11	100	2,44	0,04	0,07
127	@enigm4	20	14	100	1,69	0,03	0,07
128	@erniegreenhill	30	20	100	1,21	0,02	0,07
129	@endracsho	15	12	100	2,17	0,03	0,07
130	@wienermelange	14	8	100	3,23	0,05	0,07
131	@followmikecee	64	40	100	0,64	0,01	0,07
132	@greece-lover	20	13	99	1,87	0,03	0,07
133	@detlev	35	9	30	2,75	0,04	0,07
134	@steemflower	43	28	100	0,86	0,01	0,07
135	@enja18	28	21	77	1,18	0,02	0,07
136	@mangos	4	3	16	8,61	0,14	0,07
137	@jumowa	12	9	52	2,96	0,05	0,07
138	@lichtcatchtoby	18	16	97	1,28	0,02	0,06
139	@quocvietle	12	9	100	2,21	0,04	0,06
140	@maxpatternman	24	18	72	1,26	0,02	0,06
141	@taldor	52	26	37	0,77	0,01	0,06
142	@felix.herrmann	28	16	95	1,26	0,02	0,06
143	@welcoming	3	2	100	11,3	0,18	0,06
144	@uzgo	3	2	89	10,21	0,16	0,06
145	@webdeals	4	3	100	6,87	0,11	0,06
146	@brixter	36	7	53	3	0,05	0,06
147	@homeartpictures	15	10	67	1,97	0,03	0,05
148	@naturicia	19	14	95	1,35	0,02	0,05
149	@nicoletta	10	5	86	3,88	0,06	0,05
150	@hendrikdegrote	3	3	1	6,03	0,1	0,05
151	@security101	12	9	89	2,06	0,03	0,05
152	@w74	32	18	100	1,03	0,02	0,05
153	@bellastella	64	21	17	0,89	0,01	0,05
154	@kylemacmac	3	3	84	6,42	0,1	0,05
155	@hforstner	45	24	77	0,69	0,01	0,05
156	@liondani	3	3	25	5,59	0,09	0,05
157	@steps	5	5	59	3,37	0,05	0,05
158	@surpassinggoogle	1	1	22	16,59	0,26	0,05
159	@stehaller	26	16	100	1,19	0,02	0,05
160	@kati1971	18	14	100	1,41	0,02	0,05
161	@lianaakobian	16	16	88	1,18	0,02	0,05
162	@nyh	4	4	85	3,77	0,06	0,04
163	@pipurilla	29	13	39	1,12	0,02	0,04
164	@leesunmoo	2	2	70	6,54	0,1	0,04
165	@guyfawkes	4	3	100	4,47	0,07	0,04
166	@luna33	8	7	96	2,11	0,03	0,04
167	@anomadsoul	2	1	20	16,18	0,26	0,04
168	@djpoertsch	49	11	51	1,17	0,02	0,04
169	@steem-bootcamp	15	11	100	1,15	0,02	0,04
170	@ash	3	3	65	4,54	0,07	0,04
171	@kus-knee	5	2	17	7,38	0,12	0,04
172	@achim86	10	4	53	3,58	0,06	0,04
173	@mdnajir	3	3	100	4,64	0,07	0,04
174	@alexis555	2	2	14	7,9	0,13	0,04
175	@mat1973	12	3	100	4,47	0,07	0,04
176	@lulafleur	38	26	60	0,56	0,01	0,04
177	@relationtrip	16	8	97	1,61	0,03	0,04
178	@smileyinvest	48	24	41	0,6	0,01	0,04
179	@ssin	2	1	100	15,94	0,25	0,04
180	@betterthanhome	24	12	60	1,2	0,02	0,04
181	@anneadam	27	17	100	0,81	0,01	0,04
182	@aghunter	3	3	100	5,18	0,08	0,04
183	@bhuz	2	1	22	16,15	0,26	0,04
184	@flugschwein	20	12	81	1,25	0,02	0,04
185	@redes	2	2	20	7,91	0,13	0,04
186	@melvin7	25	17	100	0,75	0,01	0,04
187	@corazen	46	31	63	0,31	0	0,03
188	@depotboost	12	9	100	1,36	0,02	0,03
189	@fratheone	43	12	100	0,86	0,01	0,03
190	@xaero1	1	1	17	9,27	0,15	0,03
191	@daumantas	5	4	94	2,32	0,04	0,03
192	@x888	25	17	100	0,66	0,01	0,03
193	@allyouneedtoknow	8	4	63	2,3	0,04	0,03
194	@teamsteem	1	1	42	9,14	0,15	0,03
195	@parzifal1	37	18	91	0,65	0,01	0,03
196	@dirkzett	4	3	88	4,19	0,07	0,03
197	@proteus	10	7	96	1,54	0,02	0,03
198	@neuvorstellungen	16	15	50	0,64	0,01	0,03
199	@misomaniac	12	10	100	1,13	0,02	0,03
200	@ilikeit	45	14	50	0,9	0,01	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	10	8	42	415,93	6,61	9,22
2	@boomerang	29	12	7	150,72	2,4	5,01
3	@smartsteem	11	10	4	179,15	2,85	4,96
4	@buildawhale	13	7	3	134,71	2,14	2,61
5	@rocky1	15	4	6	202,99	3,23	2,25
6	@booster	14	3	11	234,21	3,72	1,95
7	@therising	12	3	9	147,46	2,34	1,23
8	@austroboost	38	24	75	15,38	0,24	1,02
9	@upme	7	3	4	61,52	0,98	0,51
10	@jerrybanfield	11	6	4	27,62	0,44	0,46
11	@postpromoter	2	2	9	78,64	1,25	0,44
12	@appreciator	3	2	3	48,03	0,76	0,27
13	@promobot	2	2	12	35,39	0,56	0,2
14	@emperorofnaps	3	3	29	23,12	0,37	0,19
15	@busy.pay	25	6	1	11,05	0,18	0,18
16	@minnowsupport	18	15	0	1,53	0,02	0,06
17	@drotto	33	33	1	0,52	0,01	0,05
18	@steemvote	20	2	100	7,49	0,12	0,04
19	@ebargains	2	2	65	8,09	0,13	0,04
20	@mercurybot	4	3	4	3,16	0,05	0,03
21	@cheetah	48	26	0	0,48	0,01	0,03
22	@thebot	3	2	25	4,58	0,07	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.