Unstable approach — N987CJ
KGMU · 012026-07-26 19:52 UTC· M&R AIR LLC· C550
N987CJ (M&r AIR) was inbound to KGMU on 2026-07-26. SkyMeter detected a low approach-stability score at Greenville Downtown Airport (KGMU) on runway 01 at 19:52 UTC. Trace data at the event: 2146 ft AGL, 163 kt GS. Approach stability score: 55/100. Scores in this band occur on roughly 10-15% of approaches at this runway, with multiple gates outside the per-runway envelope. METAR at the time reported 6 kt wind, 5 kt crosswind component, 16,093 m visibility. The approach-stability score rates the final approach against stabilized-approach gates (glideslope, lateral deviation, descent rate, and IAS) at defined altitudes. A low score means one or more of those were outside the normal envelope for how the approach was flown. The score is graded by guidance type, so instrument approaches (ILS or an aligned straight-in) are held to the full gate set, while visual and pattern arrivals are surfaced only when the score is clearly low. The score is advisory and observational, a deviation measure, not an assertion of an accident. Detection algorithm and known limitations: see SkyMeter methodology.
Pilot review data
- Runway 01
- 2146 ft AGL at event
- 163 kt ground speed
- 0 fpm vertical
- Approach stability 55/100
- 6 kt wind
- 5 kt crosswind component
- 16,093 m visibility
- KGMU 161653Z 13005KT 10SM BKN038 27/19 A3040 RMK AO2 SLP285 T02720189
Flight context
- N987CJ
- M&r AIR
- C550
- 2026-07-26 19:52 UTC
- KGMU runway 01
Automated analysis. Events shown on this page (such as go-around, unstable approach, or runway events) are heuristic classifications produced by algorithms from publicly broadcast ADS-B data. They are intended to surface flights of interest for further review — they are not findings of fact, and they do not determine pilot fault, regulatory compliance, or the cause of any occurrence. Coverage gaps and sensor noise can affect accuracy. Only the relevant civil aviation authority or accident investigation body can make official determinations. How we detect events · Dispute or correct this data