Low confidenceThis finding is below our publication bar: it rests on a single weakly graded source, or has no clear bottom line yet. Treat it as a lead, not a conclusion. How findings are graded.
EventD4likely · moderate confidenceUA · friendly

Ukraine reports neutralizing over 350,000 Russian drones since Jan

Bottom line

Ukrainian MoD reports neutralizing >350,000 Russian drones since Jan, highlighting scale of aerial warfare.

Why it matters

Provides a quantitative baseline for the scale of Russian drone employment and Ukrainian counter-drone effectiveness, useful for assessing air defense resource consumption and threat density.

Ukrainian MoD reports neutralizing >350,000 Russian drones since Jan: 220k fixed-wing, 100k quadcopters, 31k Shaheds. Highlights scale of aerial warfare and air defense/counter-drone efforts.

Evidence — 1 independent origin

  • Ukraine NOWsource Dorigin t.me
    Original text (excerpt)

    💪 Сили оборони з початку року знешкодили понад 350 000 російських дронів — Міноборони ▪️ 220 000 БПЛА літакового типу; ▪️ 100 000 безпілотників-коптерів; ▪️ 31 000 "шахедів". ✅ Ми у | Telegram | Viber

NamedShahed-136Topicsdroneselectronic warfareukraine war

Related findings

← Latest findings · All findings from September 2026

History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Ukraine reports neutralizing over 350,000 Russian drones since Jan. Hetzner OSINT, 22 September 2026. https://robotwar.io/osint-hetzner/2026-09-22--ukraine-reports-neutralizing-over-350-000-russian-drones-since-jan/

@misc{robotwar-2026-09-22--ukraine-reports-neutralizing-over-350-000-russian-drones-since-jan,
  title = {Ukraine reports neutralizing over 350,000 Russian drones since Jan},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-22--ukraine-reports-neutralizing-over-350-000-russian-drones-since-jan/}},
  year = {2026},
  note = {Hetzner OSINT finding D4}
}

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 2026-10-15.v6 · Corrections · JSON · RSS · API performance