CEN13CA479
2013-08-10 · Frankenmuth, Michigan, United States · Minor · 1 aircraft · Status: Completed
Airport 66G
Current FAA registration · N159MK
- Make / Model
- KERR MATTHEW STARDUSTER TOO
- Engine
- LYCOMING 0-435 (175 hp)
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 19840820
- ADS-B equipped
- Yes — Mode-S A0ECBB
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's loss of directional control during the landing roll, which resulted in a runway excursion and subsequent impact with a corn field.
Factual narrative
In a statement provided to the Federal Aviation Administration (FAA), the pilot reported that while landing on the narrow runway the wind was prevailing from the left. During the landing roll, the pilot attempted to maneuver the airplane and correct for the wind, but the airplane veered to the right and exited the runway. The airplane continued to the right into a corn field, came to rest upright, and sustained substantial damage to the right wing spar. An FAA Inspector examined the airplane and found no evidence of preaccident mechanical malfunctions or failures that would have precluded normal operation. In a statement provided to the Federal Aviation Administration (FAA), the pilot reported that while landing on the narrow runway the wind was prevailing from the left. During the landing roll, the pilot attempted to maneuver the airplane and correct for the wind, but the airplane veered to the right and exited the runway. The airplane continued to the right into a corn field, came to rest upright, and sustained substantial damage to the right wing spar. An FAA Inspector examined the airplane and found no evidence of preaccident mechanical malfunctions or failures that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2013_CEN13CA479.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
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Related research
Matched on aircraft type or causal vocabulary (runway excursion). All research papers
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…