ff-dynasty-strategy

Trade evaluation uses player valuation frameworks like VoR and VBD alongside aging curves to compare asset values. Structure your analysis by calculating each player's projected value trajectory, accounting for age and roster position scarcity, then compare total value received versus given to identify win-now or rebuild alignment.

Aging curves model how player production declines over time by position, enabling you to project future seasons and adjust valuations accordingly. Apply historical production data by age cohort to your roster's players, then use the resulting decline patterns to identify which assets depreciate fastest and which retain value longest.

Win-now strategy prioritizes players in peak production years and proven contributors; rebuild strategy targets youth and draft picks with long value windows. Assess your roster's current talent level, draft capital, and competitive window, then use player aging curves and trade market signals to decide which direction maximizes your league position.

Market signals and Keeperlist Trade Calculator (KTC) awareness reveal consensus valuations across active traders. Compare consensus market values to your calculated framework-based valuations using VoR, VBD, and aging curves to spot undervalued or overvalued players, then execute trades that exploit these gaps.

Draft pick valuation depends on draft position, prospect talent tier, roster construction stage, and your league's scoring format. Use aging curves to project when drafted players enter peak production, then compare pick value to current roster assets using VoR and VBD frameworks to determine fair trade compensation.

Rebuild strategy targets asset liquidation—converting aging veterans and roster redundancy into youth and picks. Use aging curves to flag steep decline trajectories, compare player values across VoR and VBD frameworks to find surplus depth, then prioritize trading veterans whose declining production timelines misalign with your rebuild window.