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FAQ

How does the Lineup Optimization feature work?

This was a tricky feature to build, and it's still not perfect! Because we simulate 100,000 games for each lineup, it's very computationally "expensive" and we can't test all the thousands of possible lineup combinations for you. Instead, start with your best guess of the optimal lineup in the form. We then run 100 iterations of shorter, 10,000 game simulations on those, pick the top 5 highest scoring lineups, and run full simulations on those to narrow in on the best lineup. If you lock too many players in that first lineup, you'll notice the number of lineups returned might be less than 5!

How do I add in my own stats?

Create a separate Roster (i.e. Duke Fall) to upload stats into SEQNZR via our Excel template. Just make sure players names are spelled as they appear on the NCAA website (if applicable) and that all cells are populated with data. You can merge these stats with in-game stats by refreshing those stats in another team (i.e. Duke 2024) and then selecting “Merge Teams” > Merge Duke Fall into Duke 2024. Make sure players' names are spelled identically for the stats to merge.

How big of a sample size do I need?

There's no magic number, but we recommend at least 50 plate appearances. A better question is: Does the data I'm using for the simulation line up with how I think this player will perform? SEQNZR takes that data and directly converts it into percentages without assuming regression to the mean, so a player with 50 PAs and 3 doubles will hit a double in 6% of simulated PAs.

How do the baseball and softball simulations differ?

Baserunning rates and fielding rates are specific to the sport and level of play. Softball also has a slap-hitting component, as these produce much different results in advancing baserunners than a non-slap hits. In conjunction with the user input statistics, these differences create completely different run scoring environments, each precise to the sport and level of play.

What should I put for Speed?

This is Bill James's "Speed Score" metric, a number 0-10 with 10 being the fastest. It's a weighted combination of Runs, Stolen Bases/Attempts, Triples, and double plays. The faster a runner, the more likely they will be to advance on the bases. It doesn't have to be perfect, just in the right ballpark.