To develop new cropping strategies for soybean (including early sowings for drought escape or late sowings as a double crop after a cereal, early harvest as green seeds), a good prediction of phenology under different photo-thermal conditions is required. For that purpose, a simple phenology algorithm (SPA) was developed and calibrated in controlled conditions then evaluated at field level (Schoving et al., 2020, Front. Plant Sci. 10, 1755). The objective of this study is the evaluation of soybean crop suitability in France according to maturity groups and contrasting sowing dates. SPA simulates the duration of the main phenophases between VC and R7 stages as a function of temperature and photoperiod. It was calibrated for 10 cultivars in 2017 and 5 cultivars in 2022 (from MG 000 to II) using a simple phenotyping method to determine genotypic parameters. Historical series of daily temperature were retrieved from the SAFRAN historical reanalysis which covers France at 8 × 8 km resolution. The SPA model was applied on each of the 8602 grid cells on the 2001-2021 period. The crop duration (from sowing to harvest) was simulated for the 15 cultivars sown (i) as soon as possible from March 15 (early sowing, flexible date); (ii) on 5th May (conventional, fixed date) and (iii) on 1st July (double cropping). Climatic projections from 2023 to 2100 under the different RCP scenarios were downloaded from the DRIAS website (http://www.drias-climat.fr/). Climate change is leading to the expansion of the soybean growing area at France level. When choosing adapted cultivars, it is theoretically possible to grow soybean on a large proportion of the French territory when considering only photothermal requirements and realistic conditions for sowing (temperature) and harvesting (date). This methodology - simple cultivar phenotyping and photothermal algorithm - is currently evaluated for the prediction of other grain legumes phenology to design more diversified and agroecological cropping systems.