This is a real league. A real 10-team Sleeper league with a $100 FAAB budget, seasons 2019 through 2025. Manager names are replaced with pseudonyms and the league's platform ids are removed. Nothing else is changed: every bid, win, and losing claim below actually happened.

The free-agent board is live for the current season, and the bid history behind it is the league's real completed seasons.

Start with the FAAB Intel tab below. The bid ledger, the rivals panel, and the bid simulator are the product. The short read on how the bidding model works, and why you should trust it, is right here:

How the bid number is built, in plain English

The problem

FAAB is a blind auction. Each week you bid fake dollars on free agents against your league mates, and you never see their bids until it is over. Bid too little and you lose the player. Bid too much and you burn budget you will want in November. Most waiver advice hands you a number with no evidence behind it.

The data nobody else has: the losing bids

Sleeper and ESPN show you the winning bid. They do not show you the bids that lost. FantasyPros publishes suggested FAAB percentages, which are opinions, not measurements. FAABFAX collects the losing bids. When someone bid $23 and lost to a $31 claim, both numbers go in the ledger. That is the difference between guessing what a player is worth and measuring what it took to win him.

This demo league's ledger holds 940 bids across 6 seasons (2020 to 2025), 311 of which lost. That is 630 separate player auctions, 185 of them contested by two or more managers. Every figure on the FAAB Intel tab is computed from those rows.

How one dollar figure gets made

  1. Who is worth a decision. Not the whole free-agent pool, which is hundreds of players nobody is thinking about. The 36 who matter this week: 10 RB, 10 WR, 5 TE, 5 QB, 3 DEF, 3 K, ordered by how many leagues across Sleeper are adding them right now.
  2. How contested he will be. This is what makes two running backs cost different amounts. A player half the country is adding will draw bidders in your league too. A player nobody is adding is yours for a dollar. We sort your league's past claims into quiet ones, contested ones and outright wars, then put each player in the group his demand points at. Where those lines fall is not a setting we picked. It is how often your league has actually had each kind.
  3. What claims like that really cost. Your own claims come first, always. Too thin at that exact position? We widen one step at a time before ever using strangers' leagues. A rougher answer from your league beats a precise one from theirs, and the card says which one you are reading.
  4. Three figures, not one. P60, P75 and P90: the cheapest bid that would have won about 60%, 75% and 90% of the time. Read P60 if you only read one. The higher rungs are priced off your league's whole history rather than the quiet claims, because their job is covering the case where we were wrong about how quiet he would be.

Two prices, and why the board shows both

A FAAB auction has a winner and a runner-up, and they answer different questions. The bid we recommend is what it would take to beat the manager who won: you are an extra bidder, so everyone who bid still bids. The clearing price is one dollar more than the best losing bid. It is what the auction actually required, it is always cheaper, and it is shown beside the bid as context.

Keeping those two apart matters more than it sounds. Pricing off winning bids alone overpays by $4.75 to $16.26 per league on average, because a winning bid is a record of somebody's overpayment. Our own first version had that flaw. It suggested ranges built from winning bids, and when we audited it, 82% of real claims had cleared at or below the BOTTOM of the suggested range. So we threw it out.

Your league is not their league

Leagues bid differently, and not by a little. One league in our own data pays a median 16.5% of its budget for a contested add. Across the public leagues we collected, that same kind of claim goes for 5.0%. A one-size-fits-all FAAB column cannot tell those apart.

It is also why we did not simply scrape more leagues. We measured what more would buy before collecting any: going from 40 to 80 public league seasons bought 0.001 of accuracy, while not being able to tell rival managers apart cost 0.022, roughly twenty times more. So the effort went into reading your league instead.

How we grade it

2026 is the first season we have scored ourselves live, and the live numbers and the held-out numbers do not yet agree on every cut of the data. We are working on why, in the open, and the weekly report is where that shows up first.

The rules we hold ourselves to

What it does not know

Privacy: manager names in this demo are pseudonyms and the league's platform ids are removed. Your league's own history is what prices your league. Aggregate patterns from many leagues, including leagues connected to this service, calibrate the model underneath it, on completed seasons only and on aggregates only: no names, no team names, and never one league's individual bids. The longer version of the method is on the methodology page, and the longer version of the data handling is in the privacy policy.

FAABFAX

prototype v2 · real ingested data