Building and Leading a Betting Team

## When Individual Capacity Is Not Enough A single analyst with strong edge hits capacity limits in research, data collection, and model development. A team of complementary specialists can cover more ground, apply more diverse methods, and sustain higher research output. ## The Functional Roles in a Betting Team **The Analyst/Trader:** Makes betting decisions based on model output and contextual research. Manages execution. **The Quantitative Modeller:** Builds and maintains the statistical models. Backtests new approaches. Validates model output against closing lines. **The Data Engineer:** Maintains the data infrastructure. Automates data collection and quality checks. Ensures the database is current and clean. **The Operations Manager:** Manages bookmaker accounts, float distribution, KYC documentation, withdrawal cycles. **The Research Analyst:** Studies market inefficiencies, reads academic literature, tests new hypotheses before deploying to the live portfolio. ## Team Dynamics in Betting Betting teams face unique challenges: - **Intellectual property:** Research findings are valuable. Define ownership upfront. - **Trust:** Financial transparency is essential. All members should have visibility into relevant financial data. - **Conflict resolution:** Disagreements about bet selection, model methodology, and allocation are inevitable. Define decision-making authority clearly. ## The Compensation Structure Common models: - **Fixed salary + profit share:** Stable income for members, aligned incentive through profit share - **Equal profit share:** Simpler but may create free-rider incentives - **Role-specific performance bonuses:** Research analyst bonused on new edge discovery; trader bonused on CLV improvement ## The Minimum Viable Team The smallest viable team for a serious operation: two people — one focused on analysis and execution, one focused on model development and data. This division covers the most critical capacity bottleneck at the smallest cost.