The Lab

Sportsbooks don't charge an entry fee — the commission is hidden inside the odds. It's called the vig (or "juice"), and it's why betting loses by default: win exactly half your bets at standard prices and your bankroll still shrinks. But books don't all hang the same number on the same game, which means there's an edge available before any question of picking winners: check several apps and take the best price. This study measures what that was worth.

Spreads & totals: the half-point on the shelf

Method: each event's latest pre-kick snapshot (usually 0–10h out — near close, not the final tick); median across the legal US books carried by our source (offshore excluded); a side needs 3+ books quoting it. The median baseline understates shopping value vs the realistic alternative of one fixed app. Sample skews toward days the shows had picks. Data through 2026-07-30.

The wrinkle: "where the line closed" depends on which book you ask. Every closing-line number on this site is measured against the consensus close — the median across legal US books. That's a choice, and it invites a fair objection: nobody can actually bet the median, and books disagree with each other at close all the time (see the shopping study above). So maybe the "sharpness" only exists against our invented yardstick. To test that, we re-graded every pick against two real books' closing lines instead — same games, same snapshots, same moments. If our numbers were an artifact of the yardstick, these three beat-the-close rates would disagree:

How often each personality beat the close, under each ruler

They don't disagree. Site-wide, the three rulers land within half a point of each other, no personality's rate moves more than a few points ("biggest shift" below), and the only order change is the two coin-flip rates at the bottom trading places — everyone with a real edge holds their spot: whoever is sharp against the median is sharp against DraftKings and against FanDuel. Book-level disagreements are noise around the market's center, and across thousands of picks they cancel out.

Method: identical picks, snapshots, and timestamps in all three columns; when a book simply wasn't quoting a game in the snapshot, the pick drops out of that book's column rather than substituting another price — which is why the sample sizes differ slightly. Table shows personalities with 100+ decided moves. Data through 2026-07-30.

Average spread movement between first and last pre-kick snapshot

Same test on the price, where books hang moneylines instead of spreads

In the NBA, CBB, and MLB, picked games moved the same or less than their unpicked slate-mates — the beat-the-close rates aren't an artifact of gravitating to volatile games. The exception is college football, where picked games moved ~50% more; CFB beat-close claims deserve that asterisk. The World Cup tells the same story on prices: picked matches moved about as much as the rest of the bracket.

Method: consensus (median) home spread, total, and moneyline compared between each event's earliest and latest pre-kick snapshots at least 2h apart; "picked" = any show's captured pick joins to the game. Movement between two coarse snapshots understates total intraday variation. The NFL comparison is weak — the shows pick so much of each NFL slate that only 115 games were left unpicked, which is itself a finding. Data through 2026-07-30.