Evaluation of fantasy players

Abstract

The evaluation of players in the context of a fantasy sports league is disclosed. In order to evaluate whether a fantasy team owner should add one player to the starting lineup of the team and drop another, player stat predictions are first used to predict end-of-season stats for the current starting lineup of a team. Historical and current league stat / point functions may then be used to determine how many points the team is expected to earn during the course of a full season based on the predicted end-of-season stats. This same methodology is then applied to a proposed revised lineup to determine how many points the revised team is expected to earn during the course of a full season. The difference between the projected point totals for the current team and the revised team are an indication of the value of this specific transaction to this specific team.

Description

BACKGROUND OF THE INVENTION[0001]Fantasy sports leagues have become a hugely popular form of recreation and competition for sports enthusiasts. In general, fantasy sports leagues contain a number of fantasy teams, each team managed by a fantasy team owner. The role of an owner is to manage a virtual team of real life professional sports players and decide which players to sit, start, drop, add, and trade with other teams. The goal is to have the starting players on the fantasy team accumulate the most positive statistics (“stats”) in their real-life games. These accumulated stats are directly converted to fantasy points using a rotisserie-style scoring algorithm. The team with the most points at the end of the season is declared the winner of the league.[0002]Rotisserie style scoring is accomplished by ranking all teams from 1 to N, where N is number of teams in league, for each stat category. For any given stat category (e.g. home runs (HRs), hits (H) and stolen bases (SB) for non-...

AI Technical Summary

Benefits of technology

"The invention is about a method for evaluating players in a fantasy sports league. It uses player stat predictions to determine how a player will affect the team's points at the end of the season. This helps team owners make informed decisions on which players to add or drop, and which players to start or bench. The method also calculates trade values to identify good or bad trades. The algorithm takes into account the team's lineup of average players and how the draftee's stat predictions impact the team's points. Overall, the method helps optimize fantasy sports team performance and increases the likelihood of winning the league."

Problems solved by technology

One problem with this approach is that fielding a team of players with optimal player rankings is not always the best way to try to win a rotisserie style fantasy league.

These rankings do not provide the owner or manager with rankings based on the ultimate criteria, points, and do not provide an assessment of how a particular player being considered for the team will affect the team's overall point totals.

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