🧬ProspectAI Prediction Model

Time to level the playing field (no pun intended)!

Historically, sports books used statistics and probabilities to build models that set odds. Statistics can be broken down into two general categories:

Sports Statistics: points, rebounds, assists, blocks, steals, yards, TDs, goals, HRs, etc.

Efficiency Metrics: win/loss, free throw %, three point %, batting average, on-base %, time of possession, defensive efficiency, etc.

Probabilities are determined by crunching historical data sets such as performance at home vs. away, performance in certain types of weather, etc. to predict future outcomes.

As the saying goes, the house always wins. The reason is because there is informational asymmetry. As fantasy sports and sports gaming migrates online, the informational asymmetry gap is getting wider. Corporations such as FanDuel and DraftKings are leveraging vast amounts of proprietary user data to set odds and push the most profitable wagers to users.

Prospect is uniquely positioned to level the playing field by leveraging it's proprietary user data and on-chain sports data oracle to train the ProspectAI Prediction Model. This model will be governed by $PROS with the benefits accruing to the Prospect community. The goal of the ProspectAI Prediction Model is to provide the community predictions and insights into various sports-related outcomes.