BUSC Trial Prep, February 16, 2026¶

1. Overview¶

Date: Monday, February 16, 2026
Location: BUSC (Ballistic United) facilities, Pleasanton, CA
Point Person: Shane De Flores
Key Contacts:
Brady Taylor, Technical Director (day-to-day champion, built custom IDP system)
Mike Nieto, VP Board (decision-maker, said "you have a potential buyer here")
Game1 Staff: Amir Donath (CEO), Shane, additional staff TBD
Purpose: Free first trial to demonstrate Game1's testing and predictive platform. Goal is conversion to paid SaaS engagement.

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2. Pre-Trial Logistics Checklist¶

By Feb 14 (Friday) at latest:

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3. Testing Protocol Summary¶

Testing Stations (2 reps each, run in parallel):

Sprints, speed/acceleration measurement
Agility, change of direction, quickness
Dribbling, ball control under pressure/speed
Juggling Parkour, technical skill + coordination
Small-Sided Games (5v5), game intelligence, decision-making, positioning

Biological Age Data Collection (per player): - Height (standing) - Seated height - Weight - Chronological age (date of birth)

Parameters: - Ages: 10-16 - All positions except goalkeepers - Minimum 12 players needed for small-sided games - Can process up to 120 players in a 2-hour window running stations in parallel - Minimum session length: 90 minutes

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4. Talking Points for Brady Taylor¶

Frame: Game1 complements his existing IDP work, not replaces it.

Brady already built a custom IDP system with performance wheels, coach grading, player self-reflection, and smart goals. Game1 adds an objective, data-driven predictive layer his current tools can't provide.
His IDP is subjective (coach grading, self-reflection). Game1 is objective (standardized testing + algorithm). Together they give a complete picture.
He already sees this, he called Game1 "a niche that no one else is hitting" and distinguished it from Darkhorse and Taka (video/subjective).
Data integration: Explore connecting Game1's output with his IDP system. His performance wheels + Game1's predictive pathways = powerful development tool for coaches.
Predictive modeling: ~95% accuracy predicting professional contracts based on top 10 European leagues. Algorithm trained on ~decade of academy data. Transfer learning applied to US leagues (MLS, NCAA D1/D2/D3).
Development pathways: Algorithm generates counter-intuitive recommendations (e.g., double down on strengths rather than fix weaknesses). Shows % chance of D3/D2/D1/pro and projected improvement after 1 year on the development plan.
Biological age adjustment: Players are evaluated relative to biological maturity, not just chronological age. This prevents late developers from being overlooked.

If he asks about sharing predictive data with parents: - This came up with Mustang SC (Fred Wilson raised sensitivity concerns). Be ready. - Approach: Frame results as developmental pathways and growth potential, not hard predictions. Emphasize "here's where they are and here's how to improve" rather than "here's their ceiling." - Parents see actionable development plans, not raw probability scores. - Club controls what data parents see and how it's framed. - Position it as a retention tool: parents stay because they see a clear development path.

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5. Talking Points for Mike Nieto¶

Frame: ROI and competitive advantage for the club.

ROI: Game1 becomes a value-add that justifies club fees and differentiates BUSC from competitors. Parents pay for development visibility.
Player retention: When parents see objective development tracking and clear pathways, they stay. Reduces churn to rival clubs.
Recruiting edge: Data-backed player development attracts serious families and top talent.
Parent value proposition: Parents get personalized development plans, biological age context (their "late bloomer" might be on track), and pathway projections. Tangible output they can't get elsewhere.
Pricing framework (Bethesda benchmark):
Standard: $150/player/year (2 tests, Game1-supported)
Elite: $250/player/year (4 tests, fully Game1-executed)
Volume discounts: 200+ players 10% off, 500+ players 25% off
Revenue model: Can be embedded in existing club fees or offered as an add-on. First trial is free. SaaS subscription with personalized onboarding.
Mike said to be "all over Brady" because Brady thinks ahead. Reinforce that this trial is the proof point Brady needs to champion internally.

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6. Key Metrics to Highlight¶

~95% predictive accuracy for professional contracts (top 10 European leagues)
No wearables or video required, standardized on-field combine only
Biological age adjustment, evaluates players relative to physical maturity, not just birth year
Standardized testing protocol, repeatable, objective, comparable across sessions
Transfer learning, European academy model adapted for US leagues (MLS, NWSL, NCAA D1/D2/D3)
Counter-intuitive development paths, algorithm finds optimal growth strategies coaches might miss
Mental strength assessment, coming soon (Nik White building it), adds psychological dimension
Scalable: 120 players in a 2-hour window

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7. Equipment and Staffing Needs¶

Equipment (confirm with Amir what Game1 provides vs. what Shane needs to source):

Staffing (minimum):

1 person per testing station (4-5 stations = 4-5 staff)
1 person for biological age measurements
1 person for check-in / data entry
Minimum: 5-6 staff on site. Confirm with Amir how many Game1 can bring and whether BUSC coaches can assist.

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8. Post-Trial Follow-Up Plan¶

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9. Risk Factors¶

| Risk | Mitigation | |,-|,-| | Weather (if outdoor) | Confirm indoor backup with Brady. Check forecast Feb 14. | | Player no-shows | Need 12+ for 5v5. Ask Brady to over-invite. Have modified protocol if fewer show. | | Technical equipment failure | Bring backup timing devices. Have printed forms for manual data collection. Test all equipment night before. | | Parent questions about data privacy | Prepare a clear, concise answer: data is club-owned, used for development only, parents control visibility. Reference how other clubs handle it. | | Insufficient staff | Confirm headcount by Feb 14. If short, ask Brady if BUSC coaches can help run stations. | | Time overrun | Stick to 90-120 min window. Pre-assign player groups to stations to minimize downtime. |