TOP 200 effective Steemit curators in Deutsch category for the last week (2018.05.28-2018.06.03)

@boddhisattva · 2018-06-05 18:38 · busy

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.

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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 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.


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.


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.


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

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

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.

#bisteemit #deutsch #steemit-stats #steemit #busy
Payout: 0.000 HBD
Votes: 46
More interactions (upvote, reblog, reply) coming soon.