Frequently Asked Questions

To evaluate a trade fairly, consider: 1) Player performance metrics and consistency, 2) Team needs and roster depth, 3) Playoff schedule impact, 4) Injury risk and age factors, 5) League scoring settings. Our AI analyzer uses advanced algorithms that factor in all these elements to provide unbiased trade evaluations.

Player trade value depends on: positional scarcity (RB, QB are premium), recent performance trends, upcoming matchups, injury status, team role (starter vs backup), age and contract status, and league scoring format. Elite players at scarce positions typically hold the highest trade value.

Optimal trading times include: pre-season for roster building, early season after 2-3 weeks when trends emerge, before bye weeks to address gaps, and near trade deadlines for playoff pushes. Avoid trading when player values are uncertain due to injuries or benchings.

Positional scarcity refers to the limited availability of quality players at certain positions. Running backs (RB) and elite quarterbacks (QB) are typically scarce, making them more valuable. Wide receivers (WR) are generally more abundant, making top-tier WRs valuable but depth easier to find.

Injuries significantly impact trade value: minor injuries may cause temporary drops, while major injuries can destroy value. Consider injury history, recovery timeline, player age, and whether the injury affects their role. Sometimes buying low on injured stars can be profitable if they recover well.

"Buy low, sell high" means acquiring underperforming players at reduced prices (buy low) when their value is temporarily down, and trading overperforming players at peak value (sell high). This strategy requires patience and understanding that player performance will regress toward their true talent level.

Ideal roster construction varies by league format, but general principles include: secure elite RBs early due to scarcity, build WR depth, target QBs with high floors and ceilings, don't overpay for TEs unless elite, and always maintain draft capital for in-season moves. Balance immediate needs with long-term flexibility.

Playoff strategy focuses on: targeting players with favorable playoff matchups, avoiding players on teams likely to rest starters, securing handcuffs for your key players, and being willing to trade future assets for current production. Also consider weather impacts and teams fighting for playoff positioning.

Waiver wire aggression depends on league competitiveness and team needs. Generally prioritize: streaming defenses/kickers, handcuffing your key players, adding emerging breakout candidates, and addressing bye week needs. Don't overpay for one-week producers unless desperate.

Fantasy football is a game where you act as a team manager, drafting real NFL players to create a virtual team. Your players earn points based on their actual NFL performance (yards, touchdowns, etc.). You compete against other managers in your league, with the goal of having the highest total points to make playoffs and win championships.

Fantasy drafts can be snake-style (order reverses each round) or auction-style (budget to bid on players). In snake drafts, you select one player per round in your draft position. In auctions, everyone can bid on any player until they're sold. Research player values and create cheat sheets to prepare.

Common scoring includes: PPR (Point Per Reception) where WRs/Tes gain value, standard scoring where only touchdowns/yards matter, and half-PPR as a compromise. League settings vary, so always review your specific scoring rules. Understanding your scoring system is crucial for player valuation.

Our AI analyzer uses machine learning models trained on millions of data points including player performance, team situations, matchup difficulty, injury history, and market trends. It compares your proposed trade against historical data and current market conditions to provide unbiased analysis and trade recommendations.

While no analysis can guarantee 100% accuracy due to football's unpredictability, our AI achieves approximately 85% accuracy in predicting trade outcomes based on historical data. The analyzer provides probabilistic assessments and confidence scores to help you make informed decisions.

PRO subscription includes: 10 trade analyses per day (vs 1 lifetime for free users), advanced AI-powered analysis, more detailed reports, priority support, and access to all future features. We offer two PRO plans: Season Pass ($6.99/6 months) and Annual Pass ($9.99/year, saving 28%).