Accounts

Rank by what the profile claims or by what we measured. The two disagree by orders of magnitude, which is the whole reason both are here. Pick a topic to rescope every measured column to that niche. Defaults to the MD roster: accounts with a poll_state row, which is what distinguishes a roster member from a discovered candidate.

Parked adjacent

2,714

3.2% · resolved non-MD, never polled

followers total likes posts

avg plays engagement plays / follower

MD roster all discovered

426ms

Ranking 9,363 accounts with ≥5 captured posts and min avg plays ≥ 1,000. Without that floor the board fills with accounts whose denominator is too small to divide by: a 305-follower account showed 115% engagement. show everything

Filtering the full discovered table, not the roster. The two are not intersected, because roster already means country=MD and combining them would return an empty table for any other country. The polled column shows which of these are actually on a schedule.

#	Account	Country	Tier	Top topic	Followers	Total likes	Avg plays	Eng.	×fol	Captured
1	@user1824301279360Эльвира Рудковская	MD	dormant	other 100%	331	5,110	1,121	32.6%	3.4×	14
2	@crina...1Lilia...	MD	C	—	10,008	61,427	2,940	31.9%	0.3×	30
3	@www.tiktok.com.cristin5kristina ,,🇲🇩"	MD	B	culture_history 100%	11,976	263,156	1,344	28.6%	0.1×	30
4	@marina.corcebnii1Alecsandru Corcebnii	MD	dormant	—	1,908	1,840	1,080	28.4%	0.6×	6
5	@iongoncear39ion	MD	C	—	2,794	37,291	1,545	25.6%	0.6×	30
6	@irina__bg𝑰𝓻𝓲𝓷𝓪🧸	MD	dormant	—	1,338	27,161	2,625	24.5%	2.0×	32
7	@alionuca.doneaAlionuşca	MD	B	culture_history 100%	10,261	128,213	3,123	24.3%	0.3×	30
8	@lory_7.7.7🤍🌺_ 𝐋𝐨𝐫𝐲_🌺🤍	MD	C	—	25,157	149,076	1,492	24.0%	0.1×	32
9	@natali141990Natali🌸	MD	B	—	4,551	108,324	1,216	23.5%	0.3×	30
10	@florean.mihaelaflorean.mihaela	MD	C	other 100%	1,606	13,316	1,404	22.9%	0.9×	31
11	@juracnataliaNatalia	MD	C	—	36,085	352,387	1,618	22.3%	0.0×	33
12	@marinamatus29Marinamatus2	MD	dormant	—	2,520	23,231	1,148	22.3%	0.5×	30
13	@rodilina_Rodica	MD	B	—	11,270	59,444	1,244	22.2%	0.1×	30
14	@elendragan33👏🕯ELENA 🕯👏	MD	B	—	2,698	63,744	2,174	21.8%	0.8×	30
15	@usernikoli3❤️Nikoli❤️	MD	B	family_relationships 50%	6,149	33,142	2,007	21.7%	0.3×	30
16	@v.n.1995♉	MD	B	other 100%	9,858	124,541	2,376	21.1%	0.2×	33
17	@stely080💘ઽ𝑡𝑒ˡɏ💘✨	MD	C	—	3,433	34,784	1,366	21.0%	0.4×	30
18	@butucana7АННА	MD	B	—	9,992	45,991	1,101	21.0%	0.1×	30
19	@user6583690716279Валюша	MD	dormant	—	5,668	39,760	1,533	21.0%	0.3×	30
20	@2001dianuscadianușca	MD	C	—	21,887	262,020	2,434	20.7%	0.1×	30
21	@nom.gmailLily	MD	B	—	17,273	267,211	1,515	20.6%	0.1×	30
22	@emiruu_uemiruu_u	MD	C	culture_history 76%	2,132	85,975	2,011	20.1%	0.9×	30
23	@mar_celus7MariaNicanorovici 23	MD	dormant	—	14,273	204,609	10,298	19.7%	0.7×	30
24	@cherdivaraekateriEcaterina	MD	dormant	—	6,476	102,273	1,009	19.7%	0.2×	30
25	@mahia_190Andreea 📿🦅	MD	dormant	music_dance 67%	9,908	90,976	1,832	19.6%	0.2×	30
26	@alwins_mika☠️«boy-qiwen»🐑	MD	dormant	—	941	31,920	4,797	19.5%	5.1×	31
27	@cristina.furteliCristina Furteli	MD	dormant	—	1,895	15,228	3,529	19.5%	1.9×	22
28	@an.drea.446an.drea.446	MD	dormant	culture_history 100%	7,808	63,681	1,317	19.5%	0.2×	30
29	@ilie.391IlieSv	MD	C	—	863	75,138	40,121	19.4%	46×	9
30	@_taniusamoldova___Tatiana -republica Moldova	MD	C	—	13,083	305,664	1,914	19.4%	0.1×	33
31	@iriskac97Irinelu97	MD	B	—	13,317	234,471	1,722	19.4%	0.1×	30
32	@alexandramihailov22Alexandra🌓💙	MD	B	—	33,303	19,271	3,688	19.3%	0.1×	27
33	@mariana_armasMariea_armas	MD	B	real_estate 100%	10,640	91,053	1,885	19.3%	0.2×	30
34	@denisamihaela270Denisa Mihaela	MD	C	—	13,793	368,398	1,188	19.2%	0.1×	30
35	@cristina61427Cristina🤩🤑🤩	MD	B	other 100%	11,038	115,994	1,016	19.2%	0.1×	30
36	@lidia91974LIDIA	MD	B	culture_history 29%	0	64,970	1,631	19.1%	—	30
37	@maryka_18maryka_18	MD	dormant	—	1,903	6,720	1,606	19.0%	0.8×	22
38	@cebotaripatyPaty Ceb	MD	C	music_dance 58%	10,093	36,652	1,358	18.6%	0.1×	30
39	@turutaoleseaoleseTuruta Olesea Olesea	MD	dormant	—	1,891	1,054	1,134	18.6%	0.6×	5
40	@ndcmcvdfl74_Caramel🍮	MD	C	gaming 100%	1,139	63,492	8,174	18.6%	7.2×	25
41	@cebanphotoФотограф Бельцы	MD	dormant	culture_history 100%	1,594	285,680	44,840	18.5%	28×	33
42	@taniusatatianataniusatatiana	MD	C	—	11,970	119,914	3,437	18.4%	0.3×	30
43	@an_dreea89user60944029420	MD	dormant	—	6,845	136,034	1,261	18.4%	0.2×	30
44	@user454060065610Анжела	MD	B	humor_memes 33%	7,961	84,642	1,845	18.4%	0.2×	30
45	@povorozniuk_esБЕЛЬЦЫ \| НОГТИ	MD	A	other 100%	87,913	5,475,238	106,126	18.4%	1.2×	35
46	@taniusacalestruTaniusa Calestru1994	MD	dormant	—	9,006	75,652	1,007	18.4%	0.1×	30
47	@scripnic.lilia_Lilia Scripnic	MD	C	family_relationships 100%	8,810	58,719	1,088	18.4%	0.1×	30
48	@gya898www@	MD	C	music_dance 55%	12,810	158,391	1,361	18.2%	0.1×	30
49	@ira87992bruneta	MD	B	—	3,282	51,509	1,275	18.0%	0.4×	30
50	@mariuta180💤 milaska 💤	MD	dormant	lifestyle_motivation 100%	21,564	99,653	7,368	17.9%	0.3×	30

Followers are the claim; plays are the evidence. A follower count is cumulative and never decays, so it records who an account once was. @garik.ugarik holds 6,567,817 followers and averages 29,025 plays a post, 0.004 per follower, while @autoseller.chisinau holds 10,582 and averages 647,161. Sorting by followers puts the first two hundred places above the second. The ×fol column is that ratio; anything above 1× is reaching past its own following.

Capturedis how many of the account’s posts we actually hold, and every measured column is an average over exactly those posts. It is usually far below the profile’s own post count because one poll returns one page of at most 30. Lookback depth is inversely proportional to posting rate rather than a measure of the account.