u/Other-Rutabaga5819

Image 1 — Sample view of Pitcher Tracking
Image 2 — Sample view of Pitcher Tracking
Image 3 — Sample view of Pitcher Tracking

Sample view of Pitcher Tracking

This is just a snap shot view of a small component of what's available @ OnBaseIQ.com. Do it for your team or the team that you are about to play against. Super quick.

u/Other-Rutabaga5819 — 2 days ago

I analyzed thousands of softball games. Here's why most coaches are comparing apples to oranges when evaluating their hitters."

I've been building softball analytics tools, and I just finished analyzing data from thousands of youth baseball games on GameChanger. What I found is that coaches are making evaluation decisions based on incomplete data. It's costing their players opportunities.

Here's the problem: When a coach looks at a box score, they see Anna went 2-for-4 (.500 average) and Vivian went 1-for-4 (.250 average). The coach thinks Anna had a better day. But here's what the box score doesn't tell you:

Anna faced three B-level pitchers and one decent arm. Vivian faced two really good pitchers and two mediocre ones.

Without that context, you're comparing completely different performances.

When I separated hitter performance by pitcher quality, the story changed dramatically.

Why this matters: If you're evaluating your players for travel teams, showcases, or just understanding who's actually performing, you HAVE to separate pitcher quality. Otherwise you're:

  1. Overvaluing hitters who feast on weak pitching — they'll collapse against good teams
  2. Undervaluing hitters who struggle only against elite arms — they'll dominate in most games
  3. Making roster decisions on noise, not signal

The flip side (and this is equally important):

Why this matters for pitchers: If you're deciding whether a pitcher is "good" or "needs work," you have to know: Against what quality of hitters? A pitcher who dominates weak hitters might get shelled by strong teams. You need to see both to make real decisions.

Most youth coaches don't separate this data. They look at raw stats and make decisions. But if you actually want to know who your best players are — and predict how they'll perform against better competition — you HAVE to isolate pitcher quality for hitters and batter quality for pitchers.

This is why I started building OnBaseIQ. Not to replace batting average, but to add context TO batting average. Because stats without context are just noise.

Curious how many coaches actually dig into this. If so how they are doing it.

reddit.com
u/Other-Rutabaga5819 — 3 days ago