Have you ever watched a team kick a game-sealing field goal as time expires, winning by exactly the spread? Or seen a game finish just one point off the over/under? That's not coincidence — that's the market at work.

Sportsbook lines are built using sophisticated algorithms that weigh every relevant variable: historical matchup data, weather, injury reports, rest advantages, travel schedules, pace of play, coaching tendencies, positional matchups, stadium conditions, and even the flow of money on each side of the line. The result is the most accurate predictive model in sports — one backed by real money and sharpened by millions of data points.

A single number tells you where a player's over/under sits — the point the market prices as a 50/50 outcome. It doesn't tell you how wide the range around that number is — and for drafting and lineup decisions, the range is often the more important half of the picture.

Sportsbooks give us a way to measure it. Beyond the main over/under line, books also price alternate lines and milestone props — markets like "1,000+ rushing yards" or "8+ touchdowns" at several different thresholds. Each of those prices is a statement about how likely a player is to clear that mark. Taken together across every book that quotes them, they trace out the market's view of a player's full range of outcomes, not just the midpoint. For example, where Drake London's main receiving yards line sits at 60.5, alternate lines extend up and down — 45.5, 55.5, 70.5, 80.5 — each carrying its own price, and each price implying a probability he clears that mark.

We collect those markets across sportsbooks, remove the vig from each book independently, and fit a distribution to the combined picture. The main over/under line anchors the middle — by definition, the market prices it as the 50/50 point — and the milestone markets shape the rest of the curve. Correlations between stats (a big rushing day and rushing touchdowns tend to arrive together) are built in, so the fantasy-point range reflects how stats actually move together, not each one in isolation.

From that curve we show:

• The distribution itself — the full shape of a player's range, with an interactive slider: pick any point total and see the probability of clearing it. On the chart, the dashed line marks the market's 50/50 point; the red zone marks bust-range outcomes and the blue zone boom-range.
• Boom and bust probabilities — the chance a player meaningfully outperforms or underperforms his market-implied expectation, with thresholds calibrated against the market-priced curves rather than picked by feel.
• Volatility tags (pre-draft) — High Floor, Balanced, or Volatile, based on how wide the market prices a player's season relative to players in the same range. Floor players are generally safer picks; volatile players carry a higher ceiling and a higher risk of busting. Tags appear in the rankings, the cheat sheet (FLR / BAL / VOL), and the player modal.

In-season vs. pre-draft: the method is the same in both; only the markets differ. In-season distributions are built from weekly alternate lines and reflect one game's range. Pre-draft distributions are built from season-long milestone props and reflect a full season's range. Volatility tags are a pre-draft feature.

As with everything on the site, this is primarily sportsbook data, supplemented where the market has gaps. Where a stat has no season market at all — receptions, for most of the offseason — its spread is derived from the markets that do exist and labeled as such in the player modal. If a player doesn't have enough market coverage to support an honest distribution, we don't show one.

When "Average (All Books)" is selected, we don't simply average each book's final fantasy projection. Instead, we calculate each book's expected value independently for every stat, then average those expected values before computing fantasy points.

This produces a truer average — particularly important because not every book offers props for every player or stat. A simple projection average would be skewed by missing data; our method ensures each stat is averaged only across the books that actually offer it.

Odds shift constantly in the days and hours leading up to kickoff as injury reports update, weather forecasts change, and betting volume moves the market. Check back as close to game time as possible for the most accurate projections.

This is especially true for questionable players. When a starter's status is uncertain — say, a running back nursing a knee injury — sportsbooks are often reluctant to post props for that player or his backup until the situation clarifies. It's not uncommon for these lines to remain unavailable until Sunday morning. If you don't see odds for a player you expected, check back closer to kickoff.

For season-long props, uncertainty around player situations — pending suspensions, contract disputes, unresolved depth chart battles — can cause sportsbooks to hold off posting lines until the situation resolves.

A missing line is often a signal that the market itself isn't yet confident in that player's outlook. That uncertainty is worth factoring into your draft strategy. For players without available odds, we still provide a projection using consensus estimates as a placeholder — because uncertainty doesn't mean a player isn't worth rostering.