Russian Mil blogger reports on drone strike statistics
Bottom line
Rubicon Centre published data on 55,000+ strikes: 49.7% drones (29% multirotors, 15% fixed-wing, 5.7% HATs). 0.8% involved EW/counter-drone interaction. Data shows cumulative strike counts over time.
Why it matters
The high percentage of drone strikes highlights the central role of drones in the conflict, while the low EW interaction rate suggests drones are often used in permissive environments.
Evidence — 1 independent origin
Original text (excerpt)
Горячая осень "Рубикона" Официальным каналом Центра "Рубикон" опубликовано свыше 55 000 эпизодов боевой работы операторов подразделения. Структура и динамика* пораженных целей (выполненных задач) по типам: (*относительно отсечки в 50 000 пораженных целей) 49,7% (+2.8%) - Беспилот
Related findings
- Russia claims Rubicon center intercepts 100 long-range drones · 4 Oct 2026 · C2
- Russian drone-interceptor crew claims 10+ fixed-wing kills in 24h · 29 Sep 2026 · C2
- Russian air defense claims high drone interception rates · 1 Oct 2026 · D2
- Russian FPV-AD units engage Ukrainian UAVs in Donbas and Sumy · 24 Sep 2026 · C2
- Russian 50th Brigade uses defensive FPVs to intercept Ukrainian drones · 16 Aug 2026 · C2
← Latest findings · All findings from October 2026
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). Russian Mil blogger reports on drone strike statistics. Hetzner OSINT, 21 October 2026. https://robotwar.io/osint-hetzner/2026-10-21--russian-mil-blogger-reports-on-drone-strike-statistics/
@misc{robotwar-2026-10-21--russian-mil-blogger-reports-on-drone-strike-statistics,
title = {Russian Mil blogger reports on drone strike statistics},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-21--russian-mil-blogger-reports-on-drone-strike-statistics/}},
year = {2026},
note = {Hetzner OSINT finding C3}
}Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-18.v7 · Corrections · JSON · RSS · API performance