At AceMind, our sophisticated algorithm takes a unique approach to generating the optimal lineups to give you an edge in your chosen contests. Here's a breakdown of our meticulous process:

User Input: We begin by collecting your specific inputs, which include your preferences for players and the lineups you wish to form according to your own personal heuristics and beliefs about the chosen contest.

Lineup Generation: Grounded in your inputs, our system crafts potential lineups optimized for the specifics of your chosen contest. We meticulously evaluate every position in the lineup, ensuring each selection aligns perfectly with your preferences. Importantly, this approach empowers you to have a direct influence on the type of lineups you anticipate encountering in the contest you aim to simulate. This contrasts with other platforms where users might be left navigating a field they cannot visualize and have no role in shaping.

Ownership Projections: One of the key differentiators in our method is the use of ownership projections. We treat these as probability vectors, determining which players have a higher chance of being selected by other users in the contest. This gives you insight into popular picks and helps you craft a strategy that stands out.

Final Position Boost: When determining the last positions in your lineup, we apply an exponential boost that integrates player salary with ownership. This methodology is crafted to closely mirror the conventional salary distribution observed in most contests. This ensures that the generated contest field aligns seamlessly with what participants are likely to encounter in the actual contest.

Game Simulations: With user-provided projections, variance data, and either our default correlations or correlation inputs provided by the user, we create a mathematical model known as a copula. This allows us to generate correlated random samples from each game – and we do this 50,000 times to ensure precision. This rigorous simulation process gives you a clear picture of potential outcomes based on varying game scenarios. Furthermore, our platform empowers users to input their own specifications, granting them the flexibility to shape the simulations based on their own understanding and predictions of how each game might unfold.

Payout Assignments: After completing the simulations, we analyze the random samples alongside the generated lineups to determine potential payouts for every position in the contest – from first place right down to the minimum cash threshold. The ranking of each lineup in every simulation dictates its respective payout. This method offers you a full and transparent view of the prospective returns for all lineups in the contest.We pride ourselves on this thorough and scientifically-backed methodology, ensuring that you get the most accurate and competitive lineups possible. Trust AceMind to give you the advantage you need to succeed in your contests.