In recent years, “senjo-kousuitai”, characterized as a band-shaped area of heavy rainfall, has frequently caused river floods and landslides in Japan. Preventing and mitigating such disasters requires skillful forecasts of accumulated rainfall for several hours with an adequate lead time. The immediate very-short-range forecast of precipitation (VSRF) provided by the Japan Meteorological Agency is well suited to this purpose, representing a blended forecast of hourly accumulated precipitation for up to 6 h ahead based on extrapolation and numerical weather prediction. This study examined the predictability of the VSRF for 3-h accumulated precipitation associated with 21 senjo-kousuitai events that occurred in Kyushu in 2019 and 2020. Predictability was evaluated based on forecast accuracy at each forecast time (FT; 1–6 h) using categorical and neighborhood verification techniques. Overall, the VSRF product was useful for heavy rainfall areas of ≥ 80 mm (3h)⁻¹ up to an FT of 2 h at the original grid spacing of 1 km, but with large uncertainty in the accuracy of the forecasts. After that FT, it was not possible to obtain a useful precipitation forecast for the threshold of ≥ 80 mm (3h)⁻¹, even if displacement errors at municipal or larger scale (15–31 km) were tolerated. Further analysis showed that the VSRF is less skillful in the stage of senjo-kousuitai formation at shorter FTs (1–2 h) owing to limitations of the extrapolation forecasts. The poor skill during this period affects the timing of both issuance of warnings and decision-making regarding evacuation, representing major challenges for future development of forecasting methods and systems for senjo-kousuitai.