TOP 200 effective Steemit curators in Deutsch category for the last week (2018.04.09-2018.04.15)

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

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	1338	5369	26055	3,512
2	spanish	1968	4248	10810	1,457
3	cn	315	1290	6431	0,867
4	deutsch	344	1127	4066	0,548
5	ita	163	366	3047	0,411
6	tr	303	897	2849	0,384
7	myanmar	161	470	2339	0,315
8	japanese	147	498	2160	0,291
9	fr	134	333	2048	0,276
10	indonesia	699	1734	1839	0,248
11	pt	106	415	1059	0,143

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.

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.

344 authors published their posts during this week.

5869 accounts participated in the content curating according to information from the database.

20714 votes were made during this week.

4075,61 SBD - is the total author rewards for this week.

TOP-200 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@shaka	74	52	23	262,8	6,45	39,73
2	@redpalestino	57	42	27	211,9	5,2	25,87
3	@twinner	76	49	35	158,79	3,9	22,62
4	@theaustrianguy	50	39	57	128,28	3,15	14,54
5	@balte	202	104	21	26,2	0,64	7,92
6	@freiheit50	99	44	94	42,69	1,05	5,46
7	@jaki01	13	11	93	148,14	3,63	4,74
8	@hr1	110	71	0	22,68	0,56	4,68
9	@decuration	34	22	86	69,43	1,7	4,44
10	@vieanna	78	61	54	19,89	0,49	3,53
11	@reggaemuffin	7	5	79	228,5	5,61	3,32
12	@fabio	24	12	94	94,53	2,32	3,3
13	@leroy.linientreu	66	44	55	22,63	0,56	2,89
14	@jedigeiss	27	20	67	46,53	1,14	2,71
15	@davidorcamuriel	12	10	100	80,22	1,97	2,33
16	@deutschbot	36	24	88	27,26	0,67	1,9
17	@nidin	54	22	79	28,66	0,7	1,83
18	@mammasitta	51	34	23	18,3	0,45	1,81
19	@schamangerbert	43	29	29	16,8	0,41	1,42
20	@asperger-kids	42	32	69	15,06	0,37	1,4
21	@uwelang	34	27	15	15,8	0,39	1,24
22	@xeldal	5	5	16	72,59	1,78	1,06
23	@andyjaypowell	53	29	28	12,5	0,31	1,05
24	@double-u	17	15	50	22,5	0,55	0,98
25	@lichtblick	26	19	15	16,07	0,39	0,89
26	@knircky	10	6	76	49,75	1,22	0,87
27	@felixxx	17	13	95	23,08	0,57	0,87
28	@vikisecrets	38	19	32	15,64	0,38	0,86
29	@folker-wulff	149	92	13	3,19	0,08	0,85
30	@vladimir-simovic	47	22	46	12,83	0,31	0,82
31	@dach-support	28	24	85	11,15	0,27	0,78
32	@afrog	23	18	70	14,77	0,36	0,77
33	@pawos	38	24	56	10,79	0,26	0,75
34	@limesoda	25	21	63	12,01	0,29	0,73
35	@flurgx	21	20	100	12,44	0,31	0,72
36	@jensvoigt	168	63	41	3,75	0,09	0,69
37	@schlees	39	30	43	7,8	0,19	0,68
38	@saamychristen	48	18	79	11,3	0,28	0,59
39	@stayoutoftherz	28	14	60	13,61	0,33	0,55
40	@alexvan	56	27	27	5,9	0,14	0,46
41	@dzone	65	38	9	4,18	0,1	0,46
42	@reiseamateur	48	27	54	5,71	0,14	0,45
43	@obvious	47	31	63	4,93	0,12	0,44
44	@stoecklin	43	26	57	5,46	0,13	0,41
45	@oliverschmid	27	20	79	7,06	0,17	0,41
46	@peaceandlove	3	3	32	43,48	1,07	0,38
47	@acidyo	4	4	12	30,8	0,76	0,36
48	@passive	47	28	98	4,32	0,11	0,35
49	@altobot	90	58	57	1,99	0,05	0,34
50	@reconnectnature	34	20	58	5,5	0,13	0,32
51	@makney	70	47	40	2,24	0,05	0,31
52	@argalf	64	35	53	3,07	0,08	0,31
53	@schererf	58	25	14	4,3	0,11	0,31
54	@pharesim	20	11	0	9,31	0,23	0,3
55	@germansailor	25	12	80	8,01	0,2	0,28
56	@lotto-austria	48	20	57	4,81	0,12	0,28
57	@backinblackdevil	29	22	82	4,39	0,11	0,28
58	@bue	32	30	100	3,08	0,08	0,27
59	@oendertuerk	30	15	23	6,06	0,15	0,26
60	@akashas	47	31	45	2,92	0,07	0,26
61	@infinityroad	31	19	44	4,48	0,11	0,25
62	@kobold-djawa	12	10	100	8,25	0,2	0,24
63	@peter2017	26	12	92	6,72	0,16	0,23
64	@laraventure	42	21	67	3,29	0,08	0,2
65	@lianaakobian	36	29	100	2,37	0,06	0,2
66	@candyboy	5	2	15	31,7	0,78	0,18
67	@eikejanssen	54	19	94	3,17	0,08	0,18
68	@eisenbart	39	15	91	4,17	0,1	0,18
69	@shortcut	12	12	47	5,05	0,12	0,18
70	@guyfawkes	6	6	100	9,63	0,24	0,17
71	@cobalus	24	16	100	3,63	0,09	0,17
72	@luegenbaron	65	38	60	1,46	0,04	0,16
73	@rivalzzz	38	23	48	2,25	0,06	0,15
74	@wienermelange	18	13	96	3,63	0,09	0,14
75	@modernpastor	6	5	88	9,56	0,23	0,14
76	@berndpfeiffer	34	23	78	2,07	0,05	0,14
77	@nicoletta	15	9	76	5,21	0,13	0,14
78	@lauch3d	17	9	100	4,93	0,12	0,13
79	@yaraha	34	24	100	1,86	0,05	0,13
80	@kissi	31	21	100	2,13	0,05	0,13
81	@louis88	31	19	91	2,35	0,06	0,13
82	@roy2016	10	6	41	7,52	0,18	0,13
83	@drtobi18	16	5	95	9	0,22	0,13
84	@xaero1	3	3	8	15,11	0,37	0,13
85	@steemzeiger	26	17	77	2,33	0,06	0,12
86	@mwfiae	28	11	89	3,6	0,09	0,12
87	@john-borchert	35	29	100	1,32	0,03	0,11
88	@mikenero	20	10	32	3,52	0,09	0,1
89	@gammastern	34	22	100	1,64	0,04	0,1
90	@sevenseals	22	11	41	3,12	0,08	0,1
91	@artpoet	23	13	72	2,77	0,07	0,1
92	@bearded-benjamin	21	19	86	1,83	0,04	0,1
93	@maxinpower	19	15	56	2,25	0,06	0,1
94	@steemchiller	9	9	100	3,77	0,09	0,1
95	@kam.ila	5	5	99	6	0,15	0,09
96	@solenn	8	5	100	6,07	0,15	0,09
97	@ocd	5	4	27	7,42	0,18	0,09
98	@austrobot	50	33	20	0,89	0,02	0,09
99	@lizanomadsoul	13	8	41	3,71	0,09	0,09
100	@claudiop63	14	13	95	2,38	0,06	0,09
101	@twinkleberry	25	21	67	1,23	0,03	0,08
102	@k3lda	25	15	100	1,79	0,04	0,08
103	@wackou	7	3	4	9,58	0,24	0,08
104	@misomaniac	19	14	99	2	0,05	0,08
105	@sabine-reichert	18	13	100	2,17	0,05	0,08
106	@dirkzett	4	4	100	5,73	0,14	0,07
107	@welcoming	4	2	85	12,81	0,31	0,07
108	@nissla	23	16	85	1,56	0,04	0,07
109	@security101	15	12	69	2,05	0,05	0,07
110	@thepe	27	11	100	2,11	0,05	0,07
111	@warofcraft	9	8	32	3,16	0,08	0,07
112	@masterthematrix	15	10	56	2,41	0,06	0,07
113	@ashe-oro	3	1	100	20,42	0,5	0,06
114	@parzifal1	49	28	82	0,73	0,02	0,06
115	@newhope	2	2	16	11,02	0,27	0,06
116	@alexis555	2	2	16	10,16	0,25	0,06
117	@endracsho	12	10	100	1,95	0,05	0,06
118	@taldor	52	26	37	0,75	0,02	0,06
119	@naturicia	20	12	100	1,73	0,04	0,06
120	@famunger	2	2	60	9,79	0,24	0,06
121	@rebeccaontheroof	21	14	94	1,46	0,04	0,06
122	@winmental	20	15	94	1,46	0,04	0,06
123	@anomadsoul	2	2	15	11,17	0,27	0,06
124	@lulafleur	49	32	65	0,63	0,02	0,06
125	@neuvorstellungen	15	15	100	1,2	0,03	0,05
126	@stehaller	42	21	100	0,78	0,02	0,05
127	@arama	1	1	52	17,03	0,42	0,05
128	@marketstack	43	26	1	0,66	0,02	0,05
129	@pipurilla	23	17	35	0,92	0,02	0,05
130	@me-do	30	12	53	1,45	0,04	0,05
131	@brixter	20	6	80	2,84	0,07	0,05
132	@steemflower	38	28	100	0,61	0,01	0,05
133	@travelwithus	13	9	100	2,05	0,05	0,05
134	@heastbistdeppad	50	33	20	0,49	0,01	0,05
135	@sichadutrottel	50	33	20	0,48	0,01	0,05
136	@love-your-wild	17	15	100	1,22	0,03	0,05
137	@kaffeebart81	24	16	100	1,12	0,03	0,05
138	@markus.light	27	16	59	1,12	0,03	0,05
139	@zitronenstern	25	22	100	0,66	0,02	0,04
140	@kushed	8	3	8	4,16	0,1	0,04
141	@happy.food.life	16	14	97	1,09	0,03	0,04
142	@ioc	1	1	76	14,81	0,36	0,04
143	@cryptonator	24	7	88	2,1	0,05	0,04
144	@davidding	1	1	35	13,34	0,33	0,04
145	@irgendwo	24	14	100	1,05	0,03	0,04
146	@jkiw	14	12	86	1,11	0,03	0,04
147	@chris4210	3	3	100	4,74	0,12	0,04
148	@miketr	32	3	99	3,21	0,08	0,03
149	@cheetah	44	24	0	0,44	0,01	0,03
150	@ssin	2	2	36	4,38	0,11	0,03
151	@chriddi	24	18	100	0,62	0,02	0,03
152	@serylt	17	11	73	0,97	0,02	0,03
153	@familytravelers	21	13	100	0,71	0,02	0,03
154	@ramta	1	1	25	10,71	0,26	0,03
155	@corazen	49	32	65	0,35	0,01	0,03
156	@sco	10	9	82	1,25	0,03	0,03
157	@flugschwein	16	11	100	0,85	0,02	0,03
158	@hendrikdegrote	2	2	1	4,69	0,12	0,03
159	@roused	8	6	100	1,92	0,05	0,03
160	@annikafried	12	10	100	1,03	0,03	0,03
161	@maarnio	7	7	16	1,32	0,03	0,03
162	@lukasmining	39	26	85	0,43	0,01	0,03
163	@smileyinvest	43	18	51	0,58	0,01	0,03
164	@anarchofacebook	11	3	100	3,99	0,1	0,03
165	@felix.herrmann	26	13	100	0,9	0,02	0,03
166	@vonhandfotografy	25	20	100	0,59	0,01	0,03
167	@stefanmoe	18	10	100	1,08	0,03	0,03
168	@tomhall	27	16	15	0,59	0,01	0,03
169	@yoganarchista	4	3	100	2,45	0,06	0,02
170	@spirits4you	11	4	77	1,32	0,03	0,02
171	@jeanpi1908	7	5	52	1,06	0,03	0,02
172	@altobee	31	21	100	0,27	0,01	0,02
173	@holycow	35	10	100	0,53	0,01	0,02
174	@redes	2	2	12	3,42	0,08	0,02
175	@technotroll	30	19	98	0,29	0,01	0,02
176	@isarmoewe	24	19	100	0,28	0,01	0,02
177	@damarth	2	2	14	3,26	0,08	0,02
178	@lenatramper	7	6	49	1,4	0,03	0,02
179	@w74	37	25	100	0,28	0,01	0,02
180	@kelte	10	8	100	0,85	0,02	0,02
181	@slowwalker	2	2	4	4,17	0,1	0,02
182	@ghasemkiani	7	6	4	1,11	0,03	0,02
183	@martinamartini	15	11	100	0,53	0,01	0,02
184	@englishtchrivy	3	2	100	2,85	0,07	0,02
185	@peppermint24	17	12	58	0,46	0,01	0,02
186	@ripperone	2	2	12	3,3	0,08	0,02
187	@cervisia	14	5	93	1,07	0,03	0,02
188	@wuhotan	15	8	2	0,68	0,02	0,02
189	@lichtcatchtoby	32	23	74	0,36	0,01	0,02
190	@steinreich	32	10	23	0,79	0,02	0,02
191	@billbutler	2	2	63	2,73	0,07	0,02
192	@mangos	2	2	14	3,57	0,09	0,02
193	@positivibes	7	3	100	2,13	0,05	0,02
194	@roomservice	2	2	100	3,22	0,08	0,02
195	@djpoertsch	25	9	50	0,72	0,02	0,02
196	@smasher	42	34	26	0,22	0,01	0,02
197	@dotwin1981	39	18	55	0,4	0,01	0,02
198	@docsweettooth	2	2	100	2,79	0,07	0,02
199	@anastasia-s	7	5	100	1,54	0,04	0,02
200	@zahnspange	6	1	8	5,18	0,13	0,02

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	@buildawhale	10	5	5	149	3,66	2,17
2	@boomerang	13	7	9	93,46	2,29	1,9
3	@minnowbooster	5	5	23	114,14	2,8	1,66
4	@upme	5	5	8	113,25	2,78	1,65
5	@promobot	6	5	12	85,72	2,1	1,25
6	@appreciator	5	4	7	92,37	2,27	1,07
7	@jerrybanfield	10	6	6	47,8	1,17	0,83
8	@austroboost	55	29	52	8,35	0,2	0,7
9	@upmyvote	8	5	7	38,69	0,95	0,56
10	@sneaky-ninja	9	5	8	36,48	0,9	0,53
11	@rocky1	5	4	3	42,38	1,04	0,49
12	@smartsteem	4	3	5	55,13	1,35	0,48
13	@busy.org	31	17	4	8,96	0,22	0,44
14	@therising	6	4	4	25,04	0,61	0,29
15	@booster	9	5	1	15,08	0,37	0,22
16	@upmewhale	7	5	3	10,88	0,27	0,16
17	@estabond	6	4	12	9,07	0,22	0,11
18	@pushup	3	3	26	12,13	0,3	0,11
19	@speedvoter	34	27	0	1,32	0,03	0,1
20	@postpromoter	2	2	2	17,56	0,43	0,1
21	@mercurybot	7	5	3	5,91	0,15	0,09
22	@emperorofnaps	11	4	2	4,67	0,11	0,05
23	@treeplanter	5	5	14	2,34	0,06	0,03
24	@edensgarden	2	2	35	4,41	0,11	0,03

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.

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.