Lineup optimization · Quality at-bat tracking · Built by a baseball family
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Insights

Insights

The reasoningbehind the software.

Short, practical pieces on lineup construction, quality at‑bats, and the statistics that actually move run production. Written for coaches, not for people who enjoy arguing about baseball on the internet.

Lineup constructionHow many batting orders does your roster actually have?Twelve players produce 479 million possible orders. Here is where that number comes from, why it grows so fast, and what it means for the way most lineups get written.StatisticsWhy on‑base percentage beats batting average for lineup decisionsBatting average throws away walks, which are roughly a third of the times your best hitters avoid making an out. That omission changes the order you should write.Player developmentWhat a quality at‑bat actually isA working definition you can apply consistently in a dugout, why the standard matters more than the exact line you draw, and how to introduce it to a team without it becoming a participation trophy.CoachingTurning a weekend of games into a practice planMost practice plans are built from the most recent memorable mistake. A season’s worth of effort data gives you a better input, if you know which patterns to look for.

On the writing here

If a claim can’t be checked, it doesn’t belong in a piece about statistics.

These articles avoid the two failure modes of baseball analytics writing. The first is false precision — quoting a run‑expectancy figure to two decimal places as though it applied to a twelve‑year‑old’s Saturday game. The second is mysticism, where the math is presented as too complicated to explain and you are asked to trust the output.

Where a number comes from the app, it is labeled as such. Where something is a judgment call, it is written as one. Coaches are not short of people willing to sound certain at them.

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