Analytics, Ai and In-Game Usage - Jonny Ulibarri, Asst HC/QB Coach, Union HS (OK)

Aug 20, 2025

In this engaging discussion, Jonny Ulibarri, assistant head coach and quarterbacks coach at Union High School in Tulsa, Oklahoma, dives into the world of in-game analytics. He reveals how his team adopted analytics from day one, customizing software to enhance communication and decision-making. Ulibarri shares insights on streamlining halftime adjustments and using AI to condense scouting data from weeks into minutes. He emphasizes the impact of data on player evaluations and recruiting, showcasing how technology revolutionizes coaching strategies.

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ADVICE

Start Analytics With Your Workflow

Onboard analytics early and adapt them to your existing communication system.
Configure tagging so the data answers the specific questions your play caller will ask.

INSIGHT

Let Your Communication Drive Setup

Have the person who inputs data explain how your staff actually communicates on headsets.
Hearing real calls helped the vendor tailor columns and tags to their needs.

ADVICE

Tag By Concept Families

Tag by concept families instead of every unique play to speed decision-making.
Group run, pass, front and coverage variants under concepts to get quick efficiency reads.

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On this episode of The Coach and Coordinator Podcast Keith Grabowski sits down with Coach Johnny Ulibarri, assistant head coach and quarterbacks coach at Union High School in Oklahoma, to talk about how in-game analytics are reshaping coaching workflows. Coach Ulibarri explains how his staff committed to analytics from the start, tailored their software to fit their system, and built processes that make scouting, halftime adjustments, and post-game reviews faster and more effective.

They dig into how clear, data-driven insights improve communication on the headset, cut down on prep time, and even help with recruiting by giving players accurate, detailed evaluations. The discussion gives coaches a firsthand look at how modern tools can be put to work to prepare quicker, adjust smarter, and perform better when it matters most.

Chapters:

Introduction to In-Game Analytics

First Steps in Implementation

Adapting Software to Coaching Styles

Streamlining Data Collection

Scouting and Game Prep

Halftime Adjustments

Post-Game Workflows

Data Entry and Recruiting Impact

Keith Grabowski: ⁠@CoachKGrabowski⁠- Johnny Ulibarri: ⁠@Coach_U13⁠

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