Built to help you make decisions

Most fantasy tools show you stats. Leaguemate tells you what to do and explains why. Everything below analyzes your specific roster, your league format, and your team strategy to give you verdicts you can act on. Not raw numbers.

No black boxes.

Engine 1

Hold / Trade / Cut

Every player on your roster is scored across nine dimensions. Each one gets a HOLD, TRADE, or CUT verdict with a confidence score and a plain-language reason. Weights and thresholds shift based on your team strategy. A rebuilder's HOLD is much harder to earn than a contender's.

Strategy Mode adjusts everything

Five modes: Full Rebuild, Asset Accumulation, Balanced, Contender, and Push All-In. Each one uses different scoring weights and different verdict thresholds. Same player, different teams, different recommendations. That's intentional.

9 Signal Dimensions
Starting Value
How much does this player actually help your team? Measured in WAR vs. a replacement-level starter at their position. If he barely beats the wire, he barely deserves the spot.
Dynasty Clock
Projected future value vs. current value, cross-referenced against position-specific age curves. Rising players score high. Past-prime players score low.
Market Timing
Flags when trade value is declining and now's the time to sell. Ascending players always score near-zero here. The signal only fires when it matters.
Roster Fit
Your positional WAR rankings, starter slots, and positional scarcity. SuperFlex leagues get a QB premium that meaningfully shifts verdicts for quarterbacks.
Team Direction
Weights and thresholds shift based on your strategy mode: Full Rebuild, Asset Accumulation, Balanced, Contender, or Push All-In. Same player, different teams, different verdicts. That's the point.
Current Status
Real-time info: injury status, depth chart spot, years of experience. Injured starters get protected. Depth chart risers get a bump.
Efficiency
How well does he convert opportunities into value? EPA per play, WOPR, air yards efficiency from nflverse data.
Draft Pedigree
How much did his NFL team invest? Round 1 picks get longer leashes. Signal fades after year 5.
Athleticism
Combine and pro day testing (Speed Score, Burst Score, Agility). Strong athletes sustain value longer. Only shown when testing data exists.
Protective Overrides

Six hard-coded rules prevent bad cuts, no matter what the composite score says:

  • ·High-WAR players on IR are shielded from cut recommendations
  • ·Top-3 WAR contributors on your roster are always held
  • ·Young players with strong upside floors are protected regardless of score
  • ·SuperFlex QBs get a positional premium that raises the HOLD floor
  • ·Required lineup starters can't be recommended for a cut
  • ·High-confidence young assets are flagged for holds
About Confidence

Confidence = how far the composite score sits from the nearest decision boundary. High confidence means clear signal. Low confidence means it's worth revisiting next month. Conditions may be shifting.

Engine 2

Rookie Intelligence & Draft Board

Prospects are scored and ranked using five factors personalized to your roster. Dynasty market value anchors the score. Talent metrics, roster need, timeline fit, and pick surplus adjust from there. The result is a draft board built for your team, not the consensus.

5 Scoring Factors
Market Value
Consensus dynasty rankings and trade values from KeepTradeCut. This anchors the score. Markets aggregate a ton of information.
Prospect Pedigree
College production (target share, air yards dominance vs. teammates) plus combine testing. Rewards both production and measurables, weighted by position.
Roster Need
How bad is the vacancy at each position on your roster? A critical gap meaningfully boosts a prospect's fit score. A stacked position barely moves the needle.
Development Timeline
How fast does this position typically contribute vs. your team's window? RBs are immediate. WRs peak in year 2. QBs and TEs are year 3+. Rebuilders and contenders value this differently.
Pick Value
Is the draft capital cost above or below expected value for that class position? A surplus means you're getting more player than the pick usually returns.
Historical Comps

Each prospect is matched to similar players from 10 years of NFL Draft history (2015–2025, 1,100+ players). Matching uses position rank within the class, log-transformed pick distance (early picks are more differentiated), breakout age, and college usage metrics.

The resulting probabilities — P(starter), P(rotational), P(bust) — show how similar profiles historically performed. Not predictions about any individual player. Bayesian shrinkage toward position base rates prevents overfitting on small samples. Low-confidence comps are labeled.

Timeline Badges
⚡ ImmediateRBs who typically contribute year one
📈 Year 2WRs who usually need a season to develop
🕐 Year 3+QBs and TEs with longer development curves

Timeline badges are position-based norms from historical data. Not individual predictions.

Engine 3

Trade Impact Simulator

Model any trade before you accept it. Add players and picks to each side and the simulator re-runs your full franchise outlook with the modified roster. You see exactly how your WAR trajectory, win window, and strategy alignment shift.

WAR Delta
Before/after WAR projections side by side. Net impact across your 3-year outlook window.
Strategy Alignment
The verdict reflects whether the trade helps or hurts your specific team strategy. Not just raw value.
About the Verdict

Verdicts come from WAR delta, peak year shift, and how the trade moves your team relative to its strategy mode. Tier changes (e.g. rebuilder to contender) are weighted more than incremental WAR. High confidence = clear signal. Neutral = roughly even, comes down to preference.

Under the Hood

Data Sources

Leaguemate pulls from multiple sources. No single one tells the whole story. Each layer adds signal.

KeepTradeCut ↗

Dynasty player values, tiers, and 7-day trends. The primary market value anchor across all engines.

Sleeper API

League structure, rosters, matchup history, and draft picks. Everything roster-specific starts here.

nflverse ↗

Play-by-play efficiency metrics (EPA, WOPR, RACR) that power the Efficiency dimension in Hold / Trade / Cut.

CFBD ↗

College production (target share, air yards dominance, yards per route run) for prospect evaluation.

Historical Database

10 years of NFL Draft history (2015–2025, 1,100+ players) for prospect comps and probability modeling.

Talk to AI about your league

Connect leaguemate to Claude, Cursor, or any MCP-compatible AI tool. Ask questions about your roster in plain English. Same engines, conversational interface.

Set up the connector →

Questions or feedback? gvem@duck.com