  Forecasting geomagnetic storms is highly important for many space weather
applications. In this study we review performance of the geomagnetic storm
forecasting service StormFocus during 2011--2016. The service was implemented
in 2011 at SpaceWeather.Ru and predicts the expected strength of geomagnetic
storms as measured by $Dst$ index several hours ahead. The forecast is based on
L1 solar wind and IMF measurements and is updated every hour. The solar maximum
of cycle 24 is weak, so most of the statistics are on rather moderate storms.
We verify quality of selection criteria, as well as reliability of real-time
input data in comparison with the final values, available in archives. In
real-time operation 87% of storms were correctly predicted while the reanalysis
running on final OMNI data predicts successfully 97% of storms. Thus the main
reasons for prediction errors are discrepancies between real-time and final
data (Dst, solar wind and IMF) due to processing errors, specifics of datasets.
