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-50 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	kr	1525	5910	21379	3,528
2	spanish	2171	4796	9039	1,492
3	cn	339	1213	5037	0,831
4	ita	185	466	3817	0,63
5	deutsch	370	1084	2961	0,489
6	tr	297	970	2252	0,372
7	japanese	126	475	1973	0,326
8	myanmar	208	595	1911,891	0,316

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 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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370 authors published their posts during this week.

4735 accounts participated in the content curating according to information from the database.

17281 votes were made during this week.

2960,38 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	84	70	12	113,19	3,82	21,41
2	@theaustrianguy	53	42	43	73,79	2,49	8,38
3	@redpalestino	46	30	47	98,93	3,34	8,02
4	@balte	218	118	17	19,06	0,64	6,08
5	@twinner	28	23	84	91,99	3,11	5,72
6	@freiheit50	86	40	89	28,72	0,97	3,1
7	@hr1	92	60	0	15,9	0,54	2,58
8	@leroy.linientreu	65	40	57	19,35	0,65	2,09
9	@schlees	64	49	44	10,37	0,35	1,37
10	@uwelang	37	24	18	20,68	0,7	1,34
11	@depotboost	38	28	44	15,75	0,53	1,19
12	@vladimir-simovic	61	37	43	10,57	0,36	1,06
13	@andyjaypowell	58	34	26	11,35	0,38	1,04
14	@jedigeiss	22	18	62	21,13	0,71	1,03
15	@limesoda	41	29	55	12,31	0,42	0,96
16	@asperger-kids	44	31	60	10,33	0,35	0,87
17	@schamangerbert	37	25	35	12,04	0,41	0,81
18	@afrog	27	16	100	18,43	0,62	0,8
19	@vieanna	41	34	70	8,5	0,29	0,78
20	@nidin	38	13	100	18,58	0,63	0,65
21	@flurgx	23	21	96	11	0,37	0,62
22	@pharesim	36	24	0	9,61	0,32	0,62
23	@passive	56	33	100	6,85	0,23	0,61
24	@jaki01	6	6	73	37,25	1,26	0,6
25	@fabio	10	5	100	37,63	1,27	0,51
26	@vikisecrets	27	19	33	9,64	0,33	0,5
27	@saamychristen	57	18	78	9,75	0,33	0,47
28	@reconnectnature	44	26	56	5,97	0,2	0,42
29	@cryptopassion	2	2	100	76,06	2,57	0,41
30	@swissclive	5	4	100	36,9	1,25	0,4
31	@acidyo	5	5	11	27,66	0,93	0,37
32	@reggaemuffin	5	3	29	45,17	1,53	0,37
33	@alexvan	50	29	26	4,37	0,15	0,34
34	@xeldal	2	2	50	62,69	2,12	0,34
35	@therising	6	3	10	40,98	1,38	0,33
36	@double-u	12	12	53	9,55	0,32	0,31
37	@lichtblick	13	8	30	13,6	0,46	0,29
38	@lizanomadsoul	30	13	47	7,48	0,25	0,26
39	@knircky	4	4	100	23,83	0,8	0,26
40	@reiseamateur	46	23	54	4,1	0,14	0,25
41	@folker-wulff	83	50	16	1,74	0,06	0,24
42	@anomadsoul	4	4	16	21,47	0,73	0,23
43	@oliverschmid	25	15	73	5,44	0,18	0,22
44	@pollux.one	13	10	54	8,17	0,28	0,22
45	@cobalus	33	23	100	3,34	0,11	0,21
46	@davidorcamuriel	4	4	100	18,93	0,64	0,2
47	@ioc	3	3	38	24,3	0,82	0,2
48	@jensvoigt	66	45	49	1,66	0,06	0,2
49	@stayoutoftherz	26	13	50	5,28	0,18	0,19
50	@artpoet	35	25	64	2,85	0,1	0,19
51	@stoecklin	31	20	74	3,57	0,12	0,19
52	@peter2017	26	14	89	4,67	0,16	0,18
53	@pawos	19	12	72	5,31	0,18	0,17
54	@akashas	45	24	49	2,65	0,09	0,17
55	@mangos	6	6	16	10,43	0,35	0,17
56	@mammasitta	8	8	53	7,56	0,26	0,16
57	@sweetsssj	1	1	48	55,55	1,88	0,15
58	@germansailor	22	12	88	4,58	0,15	0,15
59	@hendrikdegrote	5	5	1	10,32	0,35	0,14
60	@xaero1	2	2	26	23,99	0,81	0,13
61	@obvious	38	23	70	2,1	0,07	0,13
62	@oendertuerk	29	13	19	3,6	0,12	0,13
63	@mikenero	24	12	39	4,08	0,14	0,13
64	@altobot	85	57	65	0,81	0,03	0,12
65	@slowwalker	4	4	5	10,74	0,36	0,12
66	@sevenseals	36	12	50	3,6	0,12	0,12
67	@ripperone	4	4	17	10,65	0,36	0,12
68	@rivalzzz	41	32	51	1,41	0,05	0,12
69	@gammastern	38	27	100	1,49	0,05	0,11
70	@laraventure	33	21	69	1,9	0,06	0,11
71	@infinityroad	27	20	53	1,99	0,07	0,11
72	@pi1000	4	4	100	9,61	0,32	0,1
73	@mercurybot	5	3	10	12,02	0,41	0,1
74	@felixxx	7	6	100	6,15	0,21	0,1
75	@detlev	39	10	52	3,88	0,13	0,1
76	@zahnspange	14	3	10	10,78	0,36	0,09
77	@backinblackdevil	22	14	87	2,31	0,08	0,09
78	@eikejanssen	43	20	85	1,6	0,05	0,09
79	@zitronenstern	40	33	100	0,97	0,03	0,09
80	@kam.ila	8	6	82	5,2	0,18	0,08
81	@wackou	13	4	2	7,27	0,25	0,08
82	@cryptomancer	3	3	52	9,4	0,32	0,08
83	@nicoletta	12	9	79	3,46	0,12	0,08
84	@kathybell	26	6	36	4,82	0,16	0,08
85	@schererf	22	14	20	2	0,07	0,08
86	@security101	28	21	100	1,39	0,05	0,08
87	@enki	2	2	46	12,65	0,43	0,07
88	@adol	3	3	100	8,49	0,29	0,07
89	@eisenbart	26	9	100	3,08	0,1	0,07
90	@ocd	4	4	35	6,51	0,22	0,07
91	@blockops	3	3	73	8,36	0,28	0,07
92	@kelte	25	15	86	1,37	0,05	0,06
93	@warofcraft	11	10	30	2,17	0,07	0,06
94	@ippua	14	11	92	2,16	0,07	0,06
95	@wienermelange	24	12	56	1,75	0,06	0,06
96	@steemchiller	8	8	100	2,75	0,09	0,06
97	@argalf	43	23	89	0,99	0,03	0,06
98	@knozaki2015	14	3	9	7,53	0,25	0,06
99	@brixter	22	8	70	2,13	0,07	0,05
100	@future24	15	8	59	2,46	0,08	0,05
101	@peaceandlove	1	1	39	17,25	0,58	0,05
102	@lauch3d	10	9	100	2,25	0,08	0,05
103	@claudiop63	6	6	100	3,36	0,11	0,05
104	@me-do	39	20	46	0,92	0,03	0,05
105	@candyboy	2	1	28	17,63	0,6	0,05
106	@solenn	6	5	100	3,9	0,13	0,05
107	@john-borchert	47	39	100	0,36	0,01	0,04
108	@cheetah	52	30	0	0,51	0,02	0,04
109	@davidding	2	2	14	6,8	0,23	0,04
110	@b0y2k	14	3	10	5,02	0,17	0,04
111	@mwfiae	31	9	100	1,57	0,05	0,04
112	@relationtrip	17	10	100	1,47	0,05	0,04
113	@twinkleberry	19	17	76	0,86	0,03	0,04
114	@travelwithus	15	10	100	1,58	0,05	0,04
115	@romedog	14	3	10	5,21	0,18	0,04
116	@team	7	7	10	1,98	0,07	0,04
117	@louis88	29	18	100	0,9	0,03	0,04
118	@markus.light	33	18	48	0,81	0,03	0,04
119	@problemkind	12	9	77	1,34	0,05	0,03
120	@chris4210	3	3	100	3,31	0,11	0,03
121	@busy.pay	1	1	18	10,84	0,37	0,03
122	@joe.backpacker	17	14	100	0,69	0,02	0,03
123	@flugschwein	25	19	88	0,58	0,02	0,03
124	@imacryptorick	2	1	100	10,99	0,37	0,03
125	@modernpastor	4	4	52	2,58	0,09	0,03
126	@neuvorstellungen	13	13	100	0,83	0,03	0,03
127	@jkiw	11	9	100	1,04	0,04	0,03
128	@nain	3	3	100	3,24	0,11	0,03
129	@freiegedanken	17	6	87	2,14	0,07	0,03
130	@alexis555	2	2	12	5,52	0,19	0,03
131	@anyx	14	3	8	3,39	0,11	0,03
132	@picokernel	3	3	55	3,62	0,12	0,03
133	@berndpfeiffer	23	15	100	0,64	0,02	0,03
134	@smileyinvest	38	23	52	0,47	0,02	0,03
135	@positivibes	8	4	100	2,64	0,09	0,03
136	@niello	3	2	40	5,8	0,2	0,03
137	@lex030	7	3	73	4,29	0,14	0,03
138	@chriddi	26	17	100	0,71	0,02	0,03
139	@shortcut	6	4	64	2,48	0,08	0,03
140	@bearded-benjamin	15	12	96	1	0,03	0,03
141	@lotto-austria	27	9	69	1,3	0,04	0,03
142	@steemflower	26	25	100	0,48	0,02	0,03
143	@upmewhale	3	3	12	3,91	0,13	0,03
144	@lulafleur	34	22	74	0,46	0,02	0,03
145	@felix.herrmann	22	12	100	0,78	0,03	0,03
146	@achim86	10	4	54	3,14	0,11	0,03
147	@pipurilla	25	16	26	0,58	0,02	0,03
148	@flipstar	3	1	100	11,49	0,39	0,03
149	@cheftony	2	2	100	4,06	0,14	0,02
150	@inceptionally	2	2	41	3,55	0,12	0,02
151	@roy2016	3	1	100	5,87	0,2	0,02
152	@fractalnode	2	2	80	4,36	0,15	0,02
153	@xels	5	4	100	1,94	0,07	0,02
154	@seer	2	2	100	3,88	0,13	0,02
155	@k3lda	24	14	98	0,44	0,01	0,02
156	@realtom	29	8	100	0,87	0,03	0,02
157	@martinamartini	17	15	100	0,51	0,02	0,02
158	@bronkong	11	6	91	0,97	0,03	0,02
159	@thecyclist	11	2	3	3,02	0,1	0,02
160	@billbutler	2	2	88	2,94	0,1	0,02
161	@thorheit	10	9	100	0,7	0,02	0,02
162	@lenatramper	10	9	50	0,8	0,03	0,02
163	@maxinpower	11	9	44	0,85	0,03	0,02
164	@nissla	15	12	100	0,6	0,02	0,02
165	@thepe	17	8	100	0,99	0,03	0,02
166	@dotwin1981	34	17	100	0,34	0,01	0,02
167	@kamikaze	2	2	34	3,25	0,11	0,02
168	@lianaakobian	16	15	100	0,39	0,01	0,02
169	@marketstack	23	18	1	0,31	0,01	0,02
170	@sebhofmann	8	3	100	1,91	0,06	0,02
171	@parzifal1	31	17	86	0,34	0,01	0,02
172	@djpoertsch	26	9	55	0,62	0,02	0,02
173	@simi	16	13	87	0,53	0,02	0,02
174	@cryptoctopus	1	1	20	7,43	0,25	0,02
175	@famunger	1	1	100	7,74	0,26	0,02
176	@yoganarchista	4	4	74	1,94	0,07	0,02
177	@steinreich	23	13	27	0,48	0,02	0,02
178	@ikrahch	2	2	100	2,99	0,1	0,02
179	@kissi	32	15	100	0,52	0,02	0,02
180	@vcelier	1	1	32	5,62	0,19	0,02
181	@technotroll	29	21	100	0,28	0,01	0,02
182	@ilikeit	17	11	100	0,52	0,02	0,02
183	@kobold-djawa	4	4	100	2,05	0,07	0,02
184	@cryptonator	15	8	60	0,79	0,03	0,02
185	@ew-and-patterns	1	1	100	6,56	0,22	0,02
186	@guyfawkes	2	2	100	2,87	0,1	0,02
187	@allyouneedtoknow	5	4	84	1,59	0,05	0,02
188	@love-your-wild	17	12	100	0,51	0,02	0,02
189	@gringalicious	1	1	100	8,36	0,28	0,02
190	@wuhotan	8	5	14	1,66	0,06	0,02
191	@erh.germany	8	4	90	1,02	0,03	0,01
192	@drtobi18	14	2	100	2,36	0,08	0,01
193	@sumsum	14	6	100	0,63	0,02	0,01
194	@variola	13	8	100	0,24	0,01	0,01
195	@estabond	1	1	34	4,35	0,15	0,01
196	@motoengineer	1	1	100	2,69	0,09	0,01
197	@allasyummyfood	1	1	100	2,07	0,07	0,01
198	@schreiblust	14	14	100	0,26	0,01	0,01
199	@robertking	2	2	80	2,06	0,07	0,01
200	@specialaffairs	17	9	100	0,34	0,01	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	@rocky1	13	7	8	159,01	5,37	3,01
2	@boomerang	14	8	12	112,81	3,81	2,44
3	@upme	10	7	4	84,78	2,86	1,6
4	@smartsteem	11	6	3	92,94	3,14	1,51
5	@deutschbot	34	22	84	22,9	0,77	1,36
6	@postpromoter	7	5	4	94,87	3,2	1,28
7	@buildawhale	11	3	4	117,58	3,97	0,95
8	@busy.org	34	25	0	5,02	0,17	0,34
9	@austroboost	37	25	57	4,66	0,16	0,31
10	@booster	4	3	4	17,95	0,61	0,15
11	@minnowbooster	1	1	36	33,81	1,14	0,09
12	@upmyvote	2	2	16	17,24	0,58	0,09
13	@pushup	6	3	4	9,69	0,33	0,08
14	@appreciator	1	1	12	25,12	0,85	0,07
15	@steemvote	27	2	97	10,4	0,35	0,06
16	@promobot	3	3	4	7,12	0,24	0,06
17	@speedvoter	28	19	0	0,91	0,03	0,05
18	@jerrybanfield	4	3	2	6,51	0,22	0,05
19	@minnowsupport	12	8	0	0,97	0,03	0,02
20	@msp-bidbot	3	2	31	3,21	0,11	0,02
21	@bumper	4	2	20	4,46	0,15	0,02
22	@minnowhelper	4	2	19	4,42	0,15	0,02

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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.