How Much Does Line Shopping Save? We Calculated It
A data-driven analysis of line discrepancies across 40+ sportsbooks
20,864
Props Tracked Today
17.5 pts
Avg Line Spread
175.0 pts
Largest Spread Found
2.6
Avg Books Per Prop
Line Spread Distribution
Each dot is a prop — bigger dots have wider spreads across books
The current comparable sample has an average line spread of 17.5 pts. Always confirm that markets and prices are equivalent.
Biggest Discrepancies Right Now
Player props with the widest line differences across sportsbooks today.
| Player | Sport | Stat | Low | High | Spread | Rating | Books |
|---|---|---|---|---|---|---|---|
| Drake Maye | NFL | Pass Yards | 174.5(Bet99) | 349.5(BetMGM) | 175.0 | S | 36 |
| Drake Maye | NFL | Pass Yards | 199.5(Paf) | 250.5(Pari) | 51.0 | S | 36 |
| Kalif Raymond | NFL | Receiving Yards | 24.5(Sleeper) | 69.5(Bet99) | 45.0 | S | 34 |
| Kalif Raymond | NFL | Receiving Yards | 24.5(Sleeper) | 59.5(Bet99) | 35.0 | S | 34 |
| Roschon Johnson | NFL | Receiving Yards | 4.5(Underdog) | 39.5(Bet99) | 35.0 | S | 18 |
| Hunter Henry | NFL | Receiving Yards | 9.5(Prophetx) | 39.5(Paf) | 30.0 | S | 35 |
| Kalif Raymond | NFL | Receiving Yards | 24.5(Sleeper) | 49.5(Paf) | 25.0 | S | 34 |
| De'Andre Swift | NFL | Receiving Yards | 17.5(Ps3838) | 39.5(Bet99) | 22.0 | S | 34 |
| A.J. Brown | NFL | Receiving Yards | 49.5(Paf) | 71.5(Sleeper) | 22.0 | S | 33 |
| A.J. Brown | NFL | Receiving Yards | 49.5(Paf) | 71.5(Sleeper) | 22.0 | S | 33 |
| Shai Gilgeous-Alexander | NBA | Points | 29.5(Betano) | 39.5(Bet99) | 10.0 | S | 43 |
| Jamal Murray | NBA | Assists | 1.5(Betvictor) | 7.5(Bet99) | 6.0 | S | 45 |
| Ajay Mitchell | NBA | Assists | 1.5(Thescorebet) | 7.5(FanDuel) | 6.0 | S | 40 |
| Cason Wallace | NBA | Rebounds | 2.5(Bwin) | 7.5(Novig) | 5.0 | S | 37 |
| Ajay Mitchell | NBA | Rebounds | 2.5(Bwin) | 7.5(FanDuel) | 5.0 | S | 38 |
What This Means for You
The current sample averages 17.5 points between comparable lines, with a widest observed gap of 175.0 points. Treat that as market context, not a promised outcome.
Why Do Lines Differ?
- Independent line-setting — DFS platforms and traditional sportsbooks use different models and data sources to set their lines.
- Timing differences — Platforms adjust lines at different speeds in response to news, injury reports, and market movement.
- Market depth — Popular players in marquee matchups tend to have tighter lines; niche players and stat types often show the widest gaps.
Frequently Asked Questions
What is line shopping?
Line shopping is comparing the same player prop across multiple sportsbooks and DFS platforms to find the best available number — the same way you compare prices before buying a product.
How much can line shopping improve my results?
In the current comparable sample, the average line discrepancy is 17.5 points and the widest observed gap is 175.0 points. The practical value depends on market, price, and the decisions you make.
Which sports have the most line variance?
Variance differs by sport and stat type. The current table shows the largest comparable discrepancies in the available sample.
Do I need to check every sportsbook myself?
You could — but manually comparing lines across 40+ platforms is time-consuming. PropCruncher aggregates every player prop into a single view, instantly highlighting the best available number for each prop.
Is line shopping legal?
Yes. Line shopping is comparing publicly available lines from licensed sportsbooks. It is legal in all US states where sports betting is legal.
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