TOP 180 effective Steemit curators in PT category for the last week (2018.08.27-2018.09.02)

I want to share with you statistics about the most effective Steemit curators in PT 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.

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	675	2737	7327,51	2,339
2	spanish	1042	2180	4035,689	1,288
3	cn	156	460	2089,148	0,667
4	ita	83	224	1394,773	0,445
5	deutsch	261	777	1370,716	0,438
6	japanese	88	242	1177,862	0,376
7	pt	72	230	851,747	0,272
8	india	41	115	716,71	0,229
9	polish	155	356	622,675	0,199
10	indonesia	214	538	621,113	0,198
11	tr	87	254	594,211	0,19
12	myanmar	67	213	449,805	0,144

You can find an actual information about TOP 50 categories rewards in this post.

You can see here that PT category took one of the largest part of the reward pool on that week. Looks like PT community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in PT category.

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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72 authors published their posts during this week.

4117 accounts participated in the content curating according to information from the database.

16276 votes were made during this week.

842,96 SBD - is the total author rewards for this week.

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TOP-180 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@brazilians	48	17	86	16,05	1,9	3,79
2	@hendrikdegrote	33	17	0	12,37	1,47	2,92
3	@discernente	46	24	32	6,14	0,73	2,05
4	@steem-ua	25	8	7	12,33	1,46	1,37
5	@kaylinart	8	6	90	14,6	1,73	1,22
6	@davidding	4	4	58	19,15	2,27	1,06
7	@riscadox	34	15	100	4,62	0,55	0,96
8	@duarte9sousa	126	48	4	1,41	0,17	0,94
9	@blockops	8	6	69	11,1	1,32	0,92
10	@steem.services	6	4	56	15,4	1,83	0,86
11	@barbaralisarti	110	44	35	1,04	0,12	0,64
12	@ptgram-power	117	45	33	1,01	0,12	0,63
13	@isteemd	1	1	67	44,58	5,29	0,62
14	@airbud23	6	4	72	10,13	1,2	0,56
15	@dtube	2	1	16	38,54	4,57	0,54
16	@em3di	117	46	33	0,85	0,1	0,54
17	@matheusggr	67	30	93	1,15	0,14	0,48
18	@joaohazim	129	47	38	0,7	0,08	0,46
19	@aguia	7	2	93	15,05	1,79	0,42
20	@msp-brasil	36	15	95	1,93	0,23	0,4
21	@kamikaze	4	4	68	6,51	0,77	0,36
22	@hr1	22	15	0	1,68	0,2	0,35
23	@ronaldoavelino	116	45	8	0,56	0,07	0,35
24	@wagnertamanaha	67	35	51	0,67	0,08	0,33
25	@alfanso	13	2	22	11,49	1,36	0,32
26	@charlie777pt	19	14	55	1,5	0,18	0,29
27	@ngc	1	1	100	21,12	2,51	0,29
28	@andre3301	11	4	100	5,04	0,6	0,28
29	@kevinwong	23	15	0	1,35	0,16	0,28
30	@wackou	28	16	0	1,2	0,14	0,27
31	@belzunces	31	13	100	1,43	0,17	0,26
32	@urso	4	2	100	8,63	1,02	0,24
33	@goldenage	20	3	100	5,53	0,66	0,23
34	@curie	33	17	0	0,98	0,12	0,23
35	@jeck1	11	2	17	7,52	0,89	0,21
36	@felipejoys	59	26	100	0,58	0,07	0,21
37	@coyotelation	98	45	37	0,3	0,04	0,19
38	@alexis555	4	2	15	6,43	0,76	0,18
39	@bdvoter	11	1	55	11,6	1,38	0,16
40	@tmarisco	69	43	49	0,26	0,03	0,16
41	@dudutaulois	9	5	100	2,31	0,27	0,16
42	@naturald	118	47	34	0,24	0,03	0,16
43	@kusadasi	4	3	81	3,9	0,46	0,16
44	@vact	33	17	0	0,54	0,06	0,13
45	@brotherhood	6	1	95	9,54	1,13	0,13
46	@leodelara	16	9	58	0,96	0,11	0,12
47	@mracalf	118	47	34	0,19	0,02	0,12
48	@a-bot	7	2	20	4,05	0,48	0,11
49	@maxjoy	40	21	100	0,36	0,04	0,1
50	@upyourpost	14	2	19	3,56	0,42	0,1
51	@chronoboost	8	2	16	3,71	0,44	0,1
52	@spectrumecons	4	3	54	2,27	0,27	0,09
53	@bpclan	12	1	23	6,6	0,78	0,09
54	@maln	3	3	78	2,2	0,26	0,09
55	@pdq	1	1	100	6,67	0,79	0,09
56	@riscoin	113	47	25	0,14	0,02	0,09
57	@casberp	118	46	34	0,13	0,02	0,08
58	@eureka	33	17	25	0,33	0,04	0,08
59	@tombstone	7	5	0	1,17	0,14	0,08
60	@ripperone	3	2	14	2,88	0,34	0,08
61	@brazine	34	15	100	0,35	0,04	0,07
62	@leticiachiantia	32	16	100	0,32	0,04	0,07
63	@dhimmel	31	17	0	0,27	0,03	0,06
64	@eoss	5	4	88	1,13	0,13	0,06
65	@arunava	7	1	25	4,47	0,53	0,06
66	@arcange	14	5	4	0,78	0,09	0,05
67	@dong262514	4	3	89	1,13	0,13	0,05
68	@ash	2	2	96	1,69	0,2	0,05
69	@redes	2	2	14	1,91	0,23	0,05
70	@tufkat	1	1	100	2,9	0,34	0,04
71	@raphaelle	21	6	36	0,52	0,06	0,04
72	@steemcenterwiki	21	9	43	0,31	0,04	0,04
73	@rockz	4	3	100	0,9	0,11	0,04
74	@anacristinasilva	14	3	55	0,8	0,09	0,03
75	@qurator-tier-1-2	12	3	3	0,64	0,08	0,03
76	@ssg-community	3	1	12	1,82	0,22	0,03
77	@funtraveller	2	2	100	0,99	0,12	0,03
78	@portugalcoin	25	10	27	0,24	0,03	0,03
79	@yensesa	7	1	22	1,86	0,22	0,03
80	@jsantana	19	11	100	0,19	0,02	0,03
81	@jcbit	1	1	100	1,84	0,22	0,03
82	@reggaemuffin	1	1	13	2,1	0,25	0,03
83	@joeparys	4	1	25	2,33	0,28	0,03
84	@steps	3	2	100	1,18	0,14	0,03
85	@angelol	2	2	100	1,03	0,12	0,03
86	@r2cornell	1	1	100	1,34	0,16	0,02
87	@investegg	2	1	66	1,11	0,13	0,02
88	@sndbox	3	3	1	0,52	0,06	0,02
89	@creativecrypto	3	3	10	0,51	0,06	0,02
90	@martusamak	14	8	32	0,14	0,02	0,02
91	@sniffbiff	4	3	100	0,37	0,04	0,02
92	@reko	1	1	63	1,77	0,21	0,02
93	@cannonwar	2	1	100	1,23	0,15	0,02
94	@motoengineer	1	1	100	1,45	0,17	0,02
95	@esteemapp	1	1	4	1,23	0,15	0,02
96	@tincho	1	1	100	1,8	0,21	0,02
97	@julisavio	3	1	70	1,14	0,14	0,02
98	@crypto2crypto	1	1	55	1,37	0,16	0,02
99	@therealwolf	1	1	27	1,24	0,15	0,02
100	@nasgu	2	2	100	0,83	0,1	0,02
101	@floridasnail	1	1	100	1,29	0,15	0,02
102	@mangos	2	1	14	1,53	0,18	0,02
103	@tixinhacapitinha	12	5	80	0,32	0,04	0,02
104	@indurkin	3	3	100	0,17	0,02	0,01
105	@carilinger	1	1	100	0,56	0,07	0,01
106	@msp-active	1	1	75	0,61	0,07	0,01
107	@ew-and-patterns	2	1	100	0,99	0,12	0,01
108	@seer	1	1	100	0,82	0,1	0,01
109	@errymil	3	3	100	0,13	0,02	0,01
110	@pataty69	14	5	30	0,15	0,02	0,01
111	@cryptolife1	3	2	100	0,27	0,03	0,01
112	@munhenhos	18	8	40	0,05	0,01	0,01
113	@anforo	3	2	100	0,33	0,04	0,01
114	@ribai	1	1	100	1,02	0,12	0,01
115	@dvf	1	1	100	0,91	0,11	0,01
116	@nathanmars	1	1	16	0,88	0,1	0,01
117	@sugardash	2	2	92	0,26	0,03	0,01
118	@pedromrmourato	9	2	100	0,5	0,06	0,01
119	@mione	4	3	100	0,21	0,02	0,01
120	@steeminator3000	2	2	100	0,5	0,06	0,01
121	@alishannoor	1	1	100	0,61	0,07	0,01
122	@metmuseum	2	1	100	0,64	0,08	0,01
123	@qustodian	3	1	44	0,72	0,09	0,01
124	@ptbot	5	2	24	0,22	0,03	0,01
125	@kylemacmac	1	1	100	0,65	0,08	0,01
126	@whalepromobot	5	1	28	0,74	0,09	0,01
127	@burntbilly	1	1	100	0,51	0,06	0,01
128	@d8aco	1	1	100	0,57	0,07	0,01
129	@carterx7	2	2	60	0,42	0,05	0,01
130	@tysler	2	1	100	1,04	0,12	0,01
131	@helgapn	11	8	100	0,11	0,01	0,01
132	@btcvenom	1	1	100	0,37	0,04	0,01
133	@jemakaje	3	3	100	0,15	0,02	0,01
134	@geronimo	3	2	100	0,44	0,05	0,01
135	@krwhale	1	1	92	0,73	0,09	0,01
136	@upvote.follow	3	3	100	0,17	0,02	0,01
137	@osmania	4	3	100	0,2	0,02	0,01
138	@theresistance	3	2	100	0,26	0,03	0,01
139	@steem-id	3	2	100	0,31	0,04	0,01
140	@bestgift	2	2	100	0,52	0,06	0,01
141	@piestrikesback	1	1	100	0,45	0,05	0,01
142	@nolnocluap	2	2	100	0,28	0,03	0,01
143	@maninayton	3	2	100	0,2	0,02	0,01
144	@neander-squirrel	2	2	100	0,24	0,03	0,01
145	@melbookermusic	3	3	100	0,24	0,03	0,01
146	@billbutler	1	1	100	0,68	0,08	0,01
147	@robertking	1	1	100	0,44	0,05	0,01
148	@bitcoinflood	1	1	100	0,59	0,07	0,01
149	@inceptionally	2	2	70	0,46	0,05	0,01
150	@nepd	3	3	100	0,18	0,02	0,01
151	@gunthertopp	1	1	100	0,48	0,06	0,01
152	@champagnecrypto	2	2	100	0,25	0,03	0,01
153	@decentropia	2	2	100	0,28	0,03	0,01
154	@raycoms	5	3	36	0,22	0,03	0,01
155	@qurator	3	2	3	0,41	0,05	0,01
156	@good-karma	1	1	4	0,55	0,07	0,01
157	@yairdd	4	3	100	0,25	0,03	0,01
158	@ozphil	2	1	100	0,92	0,11	0,01
159	@jerseynash	3	2	100	0,39	0,05	0,01
160	@bekirsolak	1	1	100	0,42	0,05	0,01
161	@obaidb2	4	3	100	0,33	0,04	0,01
162	@aleister	13	7	33	0,15	0,02	0,01
163	@pi100	1	1	100	0,42	0,05	0,01
164	@bobsrepair	1	1	100	0,39	0,05	0,01
165	@frank.william	3	3	100	0,13	0,02	0,01
166	@rival	31	17	2	0,03	0	0,01
167	@benleemusic	30	16	0	0,04	0	0,01
168	@pedrojunior	2	2	80	0,31	0,04	0,01
169	@g-dubs	10	2	6	0,22	0,03	0,01
170	@team-leibniz	7	1	75	0,98	0,12	0,01
171	@saramiller	7	1	5	0,61	0,07	0,01
172	@marc99	1	1	100	0,38	0,05	0,01
173	@alexko-steemit	1	1	100	0,46	0,05	0,01
174	@resiliencia	1	1	100	0,49	0,06	0,01
175	@ecotrain	3	1	19	0,41	0,05	0,01
176	@t50	7	1	26	0,53	0,06	0,01
177	@stephenkendal	1	1	25	0,45	0,05	0,01
178	@steemyoda	1	1	25	0,59	0,07	0,01
179	@pwrup	3	2	31	0,26	0,03	0,01
180	@nascimentoab	10	5	100	0,1	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	@minnowbooster	6	3	56	81,07	9,62	3,38
2	@smartsteem	1	1	42	60,16	7,14	0,84
3	@minnowsupport	30	18	1	2,29	0,27	0,57
4	@upmyvote	13	1	21	36,06	4,28	0,5
5	@busy.pay	21	4	1	7,65	0,91	0,43
6	@tipu	1	1	59	28,8	3,42	0,4
7	@booster	4	2	10	11,77	1,4	0,33
8	@promobot	1	1	41	16,7	1,98	0,23
9	@therising	2	2	7	8,05	0,95	0,22
10	@brandonfrye	14	2	13	7,66	0,91	0,21
11	@thebot	12	2	18	7,13	0,85	0,2
12	@dailyupvotes	8	4	19	3,26	0,39	0,18
13	@brupvoter	5	2	18	3,99	0,47	0,11
14	@thundercurator	7	3	22	2,48	0,29	0,1
15	@jerrybanfield	1	1	12	4,71	0,56	0,07
16	@pushup	12	1	38	4,35	0,52	0,06
17	@rocky1	1	1	5	4,49	0,53	0,06
18	@edensgarden	6	2	15	1,65	0,2	0,05
19	@upmewhale	1	1	8	3,65	0,43	0,05
20	@ebargains	13	1	38	3,86	0,46	0,05
21	@onlyprofitbot	5	2	22	1,33	0,16	0,04
22	@spydo	5	2	19	1,36	0,16	0,04
23	@moneymatchgaming	7	2	17	1,25	0,15	0,03
24	@redlambo	13	1	29	1,89	0,22	0,03
25	@estabond	4	1	12	2,33	0,28	0,03
26	@sleeplesswhale	7	1	34	1,6	0,19	0,02
27	@lays	2	1	50	1,13	0,13	0,02
28	@minnowvotes	4	2	14	0,9	0,11	0,02
29	@minnowhelper	15	2	9	0,81	0,1	0,02
30	@msp-creativebot	7	1	40	1,34	0,16	0,02
31	@siditech	2	2	42	0,27	0,03	0,01
32	@emperorofnaps	1	1	5	0,83	0,1	0,01
33	@steemvoter	3	2	100	0,24	0,03	0,01
34	@dlivepromoter	2	2	50	0,4	0,05	0,01
35	@proffit	4	2	18	0,2	0,02	0,01
36	@msp-lovebot	5	1	19	0,76	0,09	0,01
37	@earthnation-bot	5	2	100	0,2	0,02	0,01
38	@oceanwhale	1	1	9	0,49	0,06	0,01
39	@isotonic	5	1	29	0,47	0,06	0,01
40	@lost-ninja	2	1	43	0,6	0,07	0,01
41	@lrd	10	4	100	0,1	0,01	0,01
42	@seakraken	7	1	40	0,77	0,09	0,01
43	@msp-bidbot	3	1	56	0,67	0,08	0,01

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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.