The German market for control reserve is subjectof large changes. The German Transmission System Operators(TSO) cover their need for control reserve via a commontendering procedure. The German Federal Network Agency(Bundesnetzagentur) made changes to the market design, thatenables Virtual Power Plants (VPP) to participate in the controlreserve market with an dynamic pool of assets, that may swapits assets within the pool every 15 minutes. Especially the minutereserve market with its four hour slots is aimed at by newmarket participants. To assist the (competitive) bid strategy ofa VPP operator, a tool was build up as a prototype to fetchhistorical market data of the bidding, the outcome and theactivation of the control reserve. Using the typical process ofextracting, transforming and loading data from several sourcesto a database system several important hints for an optimizedbidding could be extracted from the control reserve market. Dueto the market data analysis the historic release order frequencycan be estimated by a given price per kWh. The reverse processenables to estimate a price per kWh for the bidding, that wouldhave lead to the targeted activation hours. With this tool a VPPoperator is able to optimize his bidding strategy due to historicmarket development for his energy assets within a VPP. Thefocus of the work presented here were assets used as backuppower supply that are being used within the minute reservemarket. The future work will concentrate on the participationof cogeneration plants within the control reserve market. Whilethe backup power supply system aims at positive minute reserveproducts, cogeneration plants (CHP: combined heat and powerplant) aim at negative minute reserve products. The combinationof both will be the topic of future investigations. In this work wepresent both the approach and the tool chain presenting exampledata for the German control reserve market.