About The Box Score
A fantasy football toolkit built around mutual-benefit trades, league-aware rankings, and recency-weighted manager grades.
Who Runs It
The Box Score is built by Nick, who has run and played fantasy football on ESPN, Sleeper, and Yahoo for more than a decade. He got tired of every trade calculator ignoring what actually decides leagues: superflex slots, TE premium, dynasty contracts, playoff schedules. It started as a personal spreadsheet and grew into a full toolkit for trades, rankings, and manager grades, with NBA and MLB analytics built and going public in 2027.
Every model here exists because the off-the-shelf version left one of my own teams with a real question. The trade finder came out of weeks of failed midseason swaps. The manager grades came out of a home-league argument over who actually drafted well. The format toggle came out of running a half-PPR and a full-PPR league at once and needing one tool for both.
Why This Exists
Most fantasy tools treat every league the same: a generic PPR ranking, a static trade value chart, a one-size-fits-all draft list. Real leagues are not generic. Superflex changes QB scarcity. TE premium flips tight end value. A 12-team half-PPR league plays nothing like a 14-team standard league.
The Box Score builds rankings, trade suggestions, and manager grades around your league's real scoring, roster slots, and history. The trade finder ranks mutual-benefit deals where both rosters improve. The rankings adjust to your scoring format on the fly. Manager grades weight your recent draft, trade, and waiver calls across every season your league's history allows.
How the Data Works
Projections blend ESPN's in-season numbers with consensus rankings and nflverse weekly data (snap counts, target share, carries, red-zone usage). Manager grades use draft, trade, and waiver outcomes from every season your league exposes through the ESPN or Sleeper API. The trade engine starts from each team's starting-lineup expected points (SLEP) and surfaces packages where both sides gain at the right position.
Read more on the articles page. Those posts explain the models in plain English, including mutual-benefit trade ranking, recency-weighted grading, age curves, and target-share predictive power.
The same views the models drive, straight on the page: a hitter’s spray by field and distance, an NBA shot map, a QB’s composite. See it before you read it. NFL is live today; NBA and MLB open to the public in 2027.
We Grade Our Own Work
Every betting and prediction model on the site is backtested and its verdict tracked in public: the wins, the thin edges, and the misses. If a market grades efficient, we say so and gate it off.
We Grade Our Own Models in Public.
Every verdict is read live from a committed backtest: selective, walk-forward, net of vig.
- MLBStrikeout line-shoppingVig recovered vs. the consensus price+4.5%ROI
- MLBPitcher-K sharp-followt = 4.06 · edge survives out-of-sample+3.6%CLV
- NFLMoneyline, selectiveThe core power rating+3.6%ROI
- NBAPoints line-shoppingThe most price-dispersed prop market+3.4%ROI
- NFLEV-agreement ensembleBet only where game + drive models agree+2.4%ROI
Read live from MODEL_SCORECARD.md. We publish the misses too: markets where the close prices in everything we know (NFL totals, most liquid props) are gated off the board rather than bet. No locks, no hype.
Get in Touch
Feedback, bugs, or feature requests welcome. Head to the contact page or email nick.knows.ball0@gmail.com directly. I read every message.
Try it on your league.
Connect ESPN or Sleeper and the trade finder runs against your real roster.