The primary scatterplot features a dot for every available prop bet of the day. The goal is to provide an all-encompassing visualization of the available prop bets vs. the player history statistics of that bet. This is so that users can quickly see which betting lines show a large deviation from a player's performance history.

The x-axis shows the season sum over/under the line for each game. It's calculated using a running sum of the stat of interest minus the line in each game. For example, assume the stat of interest is points and the line for the current bet is 15. If the player scored 21, 10, and 24 points in a 3 game season so far, their sum (x-axis value) would be (21-15)+(10-15)+(24-15)=10. The y-axis shows a simple percentage of previous games during which the player scored above the line value. So in the example above, the player scored above 15 in 2/3 games, and thus they would fall at 67% on the y-axis.

Assuming that a player continues to perform at historical levels, it is reasonable that the dots in the upper-righthand quadrant have a higher probability of the player scoring over the line (as they have a larger overall sum and a higher percentage of games above the line). Similarly, dots in the lower-lefthand quadrant would have a higher probability of the player scoring below the line. Obviously, there are more factors that determine the outcome of the event than past data (such as injuries, fatigue, the opponent, etc.), but this provides a rough starting point for users looking at bets.