Dynasty Fantasy Football Strategy

Overview

Provide expert guidance on dynasty fantasy football strategy, player valuation, roster construction, and trade analysis using research-backed frameworks and methodologies. Apply domain expertise to help evaluate trades, identify market inefficiencies, construct competitive rosters, and make data-driven dynasty management decisions.

When to Use This Skill

Trigger this skill for queries involving:

Player valuation questions: "How should I value this player?" "What's a fair trade value?" "Is this player overvalued?"
Trade analysis: "Should I accept this trade?" "How do I evaluate this trade offer?" "What's a win-win trade structure?"
Roster construction: "Should I rebuild or compete?" "How do I identify my competitive window?" "What's optimal positional allocation?"
Draft strategy: "What's this draft pick worth?" "Should I trade picks or players?" "When should I target RBs vs WRs?"
Aging curves & timing: "When should I sell this RB?" "Is this WR past his prime?" "What's the optimal exit point?"
Market analysis: "Is this player a buy-low candidate?" "What are common market inefficiencies?" "How do I identify mispriced assets?"
Asset management: "How do I value future picks?" "What's the quantity premium in consolidation trades?" "Should I cut this player or hold for dead cap reasons?"

Note: For questions involving statistical modeling, machine learning, or simulation design, consider also using the ff-ml-modeling or ff-statistical-methods skills.

Core Capabilities

1. Player Valuation Frameworks

Apply research-backed valuation methodologies to assess player worth:

Value over Replacement (VoR)

Calculate VoR using formula: Player Projected Points - Replacement Level Points
Set replacement baselines using worst starter method, man-games approach, or draft position method
Enable cross-positional comparisons by standardizing value relative to position-specific baselines

Value-Based Drafting (VBD)

Prioritize players with highest VoR regardless of position
Identify steep "drop off" positions to target early
Exploit positions with gentle declines by deferring to later rounds

Sustainable vs Fluky Performance

Identify touchdown regression candidates using xTD and TDOE metrics
Emphasize volume-based metrics (target share, opportunity share, snap count, WOPR)
Distinguish sustainable opportunity-driven production from TD-luck-driven scoring

Market Inefficiencies

Spot injury overreactions creating buying opportunities
Recognize offseason pretty roster syndrome (youth overvaluation)
Identify recency bias in player valuations
Find gaps between model projections and market consensus (KTC, DynastyProcess)

Prospect Profiling

Apply Dominator Rating thresholds (30%+ = elite, 20-30% = good, <20% = concern)
Evaluate breakout age (RB <20, WR <21, TE <23)
Incorporate NFL draft capital as signal for opportunity

Reference: references/valuation_frameworks.md for detailed formulas, thresholds, and examples.

2. Roster Construction Strategies

Guide roster-building decisions based on competitive timeline:

Win-Now Strategy

Prioritize proven producers over unproven rookies
Target consistent production with track records
Hold draft picks to add youth and maintain roster rejuvenation
Mix in younger players for long-term viability

Rebuild Strategy

Accumulate draft picks across multiple classes (picks are lifeblood)
Focus on 2-3 foundational pieces (QB core, elite WRs under 26)
Avoid RBs during rebuild (shelf life doesn't align with 2-3 year window)
Build through WRs for longer careers and stable value trajectories

Competitive Window Analysis

Identify typical 2-3 year competitive windows
Time RB acquisitions to align with competitive window opening
Balance present opportunity vs future flexibility
Reassess window every 4-6 weeks during season

Positional Allocation

QB: Secure higher-level QB early (Superflex = most valuable position)
RB: "Get in early, exit before decline" - sell after Year 4
WR: Patient with rookies, best foundation for dynasty rosters
TE: Expect sophomore breakouts (98.5% PPR increase Year 2)

Reference: references/roster_construction.md for win-now vs rebuild tactics, roster depth guidelines, and draft philosophies.

3. Trade Evaluation & Optimization

Systematically evaluate dynasty trades using multi-objective framework:

Multi-Objective Analysis Assess trades across 5 dimensions:

Current Year Value: Impact on starting lineup for this season
Future Value: Outlook 1-3 years from now
Competitive Window Alignment: Does trade match timeline (contending/rebuilding)?
Positional Scarcity: Trading for/away from scarce positions (elite TEs, every-down RBs)?
Market Timing: Buying low or selling high based on value trends?

Win-Win Trade Structures

Identify complementary needs (target teams weak where you're strong)
Use even swap strategy (2-for-2 trades benefit both sides)
Account for team timelines (rebuilders trade RBs for WRs; contenders do opposite)
Apply quantity premium (30-50% overpay when consolidating to elite assets)

Draft Pick Valuation

First round picks: ~45% hit rate, highest value pre-NFL Draft
Second round picks: 22% hit rate, 69% miss rate
Third round+: <15% hit rate ("dart throws")
Future picks: Discount to 80% of current year equivalent
NFL draft capital matters: High picks indicate opportunity and team faith

Manager Profiling

Assess risk tolerance (safety vs upside chasers)
Identify position preferences and roster construction philosophies
Find managers unaware of their competitive window (arbitrage opportunities)
Distinguish active traders (receptive to creative structures) vs passive builders

Reference: references/trade_evaluation.md for crowdsourced valuation tools (KTC, DynastyProcess), quantity premiums, and trade evaluation framework.

Asset: assets/trade_evaluation_template.md - Systematic template for evaluating trades across all dimensions.

4. Aging Curves & Timing

Apply position-specific aging patterns to buy/sell decisions:

Running Backs

Career arc: 88% baseline rookie year, decline below baseline Year 7, spread dramatically Year 8
Optimal exit: After Year 4 (before Year 7 decline)
Shortest shelf-life; sell while value is highest

Wide Receivers

Career arc: 74% baseline rookie year, peak Year 5, maintain into late 20s
Be patient Years 2-3 for sophomore surge
Hold value longer, age more gracefully than RBs

Tight Ends

Career arc: 33% baseline rookie year, 94% baseline Year 2 (98.5% PPR increase)
Don't give up on rookie TEs; expect Year 2 jump
Maintain through Year 7, don't decline significantly until age 30

Quarterbacks

Career arc: Efficiency rises age 25+, peak ages 28-33, many produce into mid-to-late 30s
Most stable position for aging
Safe to roster older QBs for win-now pushes (especially Superflex)

Mortality Table Framework (Harstad)

Alternative view: Players don't gradually decline; they maintain or "fall off a cliff"
Focus on survival probability rather than gradual erosion
50/50 shot at 100% production vs 0% (not 50% of typical production)

Reference: references/aging_curves.md for detailed career arcs, exit strategies, and age-adjusted valuation framework.

Workflow for Trade Analysis

Follow this process when evaluating dynasty trades:

Step 1: Gather Trade Details

List all assets exchanged (players, picks)
Identify trade partner's competitive timeline (contending/rebuilding)
Confirm your own timeline

Step 2: Calculate Raw Value

Use KTC, DynastyProcess, or other consensus tools for baseline values
Sum total value given vs received
Apply quantity premium (30-50%) if consolidating or breaking apart assets

Step 3: Multi-Objective Assessment

Current year impact: Does this improve starting lineup this season?
Future value: How does this affect 1-3 year outlook?
Window alignment: Does trade match my timeline?
Positional scarcity: Am I addressing gaps or creating new ones?
Market timing: Am I buying low / selling high?

Step 4: Aging Curve Analysis

Check career year and age for all key assets
Identify cliff risks (RBs Year 5+, WRs 30+, TEs 30+)
Reference aging_curves.md for position-specific benchmarks

Step 5: Sustainability Check

For key assets received, check for TD regression risk (xTD vs actual TDs)
Verify volume indicators: target/carry share, snap %, opportunity share
Prioritize opportunity-driven performance over TD-luck

Step 6: Win-Win Verification

Does this trade help trade partner along their dimensions?
Is this mutually beneficial given different timelines/needs?
If not win-win, revise or prepare counter-offer

Step 7: Make Decision

Accept: Strong trade improving roster along key dimensions
Counter: Close but needs adjustment
Decline: Does not align with strategy/timeline/value

Tool: Use assets/trade_evaluation_template.md to systematically document this analysis.

Workflow for Roster Construction Planning

Follow this process when building or reshaping rosters:

Step 1: Determine Timeline

Assess current roster age, draft capital, competitive position
Decide: Win-now, retool, or rebuild?

Step 2: Execute Mode-Specific Tactics

Win-now: Proven producers + draft picks for youth influx
Rebuild: Accumulate picks + foundational WRs + avoid RBs
Retool: Mix of young WRs + one elite QB/TE to anchor

Step 3: Positional Allocation

Superflex: Prioritize QB depth
All formats: Build WR depth as portfolio foundation
Time RB acquisitions to competitive window
Be patient with TE breakouts (expect Year 2 surge)

Step 4: Continuous Evaluation

Reassess competitive window every 4-6 weeks
Adjust tactics as roster ages or improves
Balance present opportunity vs future flexibility

Identifying Data Requirements

When analyzing dynasty questions, identify what data is needed:

For Player Valuation:

Projected points by player/position
Historical performance (3+ years for aging curves)
Opportunity metrics (target share, snap %, carry share)
Expected vs actual touchdowns (xTD, TDOE)
Market values (KTC, DynastyProcess)

For Trade Analysis:

Current roster composition (yours and partner's)
Starting lineup requirements
Projected points for current season + future years
Player ages and career years
Draft pick holdings

For Roster Construction:

Full roster with ages and positions
Competitive standings
Draft capital (current and future picks)
Positional depth charts
Franchise transaction history

For Aging Analysis:

Player age and NFL experience years
Position-specific benchmarks
Career usage (touches, targets)
Historical performance trends

Integrating with Other Skills

Complement with ff-ml-modeling when:

Building predictive models for player projections
Feature engineering for valuation models
Clustering players into tiers
Training regression models for value estimation

Complement with ff-statistical-methods when:

Running Monte Carlo simulations for trade scenarios
Performing variance analysis for regression-to-mean
Applying GAMs for non-linear aging curves
Conducting hypothesis tests on performance trends

Parallel Execution: When requests touch multiple domains (e.g., "Build a player valuation model using VoR and regression analysis"), invoke relevant skills in parallel for comprehensive guidance.

Best Practices

Emphasize Volume over Touchdowns

"Volume is king in fantasy football"
Target share, snap %, opportunity share are leading indicators
TDs regress: +TDOE declines 86%, -TDOE improves 93%

Apply Timeline Discipline

Don't hold aging RBs while rebuilding
Don't hold distant picks while contending
Align every move with competitive window

Understand Market Dynamics

Buy during injury overreactions
Sell during offseason hype (pretty roster syndrome)
Exploit recency bias
Find model vs market gaps

Use Multi-Objective Framework

Best trades are win-win along different dimensions
Contender gets win-now assets, rebuilder gets future value
Avoid zero-sum thinking; find complementary needs

Respect Aging Curves

RBs: Exit Year 4, before Year 7 cliff
WRs: Patient through Years 2-3, hold through late 20s
TEs: Don't give up Year 1, expect Year 2 breakout
QBs: Safe into mid-30s, premium in Superflex

Avoid Common Pitfalls

Overvaluing unproven rookies during win-now
Drafting RBs early during multi-year rebuild
Ignoring quantity premium in consolidation trades
Chasing touchdowns instead of opportunity
Making lopsided offers that aren't mutually beneficial

References

All detailed research-backed frameworks are available in:

references/valuation_frameworks.md - VoR, VBD, sustainable performance, market inefficiencies, prospect profiling
references/roster_construction.md - Win-now vs rebuild, competitive windows, positional allocation, draft philosophies
references/trade_evaluation.md - Crowdsourced tools, win-win structures, multi-objective optimization, draft pick valuation
references/aging_curves.md - Position-specific career arcs, exit strategies, mortality tables, age-adjusted valuations

Assets

assets/trade_evaluation_template.md - Systematic template for documenting and analyzing dynasty trades across all evaluation dimensions