Quantitative Tennis Betting Bot – Technical & Model Audit
Budget: -
HOURLY / PART_TIME
⭐ 0.00 (0)
Spain
python, django-framework, data-extraction, scrapy-framework, selenium, browser-automation, automation, api-integration, api-development, database-development, postgresql, docker
Preferred qualifications
- Experience: Intermediate
I am developing a quantitative tennis betting system and am looking for an initial paid technical and quantitative audit of the existing project before considering a larger development engagement.
The system is already under development and currently includes:
- historical tennis data pipelines;
- Elo-based features;
- probability modelling and calibration;
- sportsbook odds ingestion and matching;
- walk-forward testing and backtesting;
- prospective odds capture;
- bet tracking and research-focused validation.
The objective is not to build a generic odds scraper or high-volume betting bot. I want to determine whether the current approach can estimate probabilities independently from the market and identify a relatively small number of strong positive-EV opportunities.
I would like the initial audit to cover:
- the overall architecture and data pipeline;
- possible data leakage, look-ahead bias, timestamp problems or unrealistic backtesting assumptions;
- the current Elo features, probability model and calibration;
- the use of bookmaker prices, market probabilities and closing line value;
- whether the current methodology can realistically demonstrate independent edge;
- tennis-specific data or features that should be added;
- how to design a rigorous prospective validation process;
- the most important technical and quantitative improvements, ordered by priority.
Expected deliverables:
1. A written audit describing the main findings and risks.
2. A prioritized list of recommended changes.
3. A proposed validation and development roadmap.
4. A short call to discuss the findings and answer questions.
I am particularly interested in your experience with sportsbook systems, odds aggregation, positive-EV analytics, historical odds and backtesting. I would also like to understand which of your previous projects involved predictive sports modelling or fair-probability estimation, rather than only scraping and bet execution.
This initial engagement is intentionally small and paid. Please estimate how many hours you would need for a useful first audit. If the audit goes well, I would be open to continuing with a larger development phase.
The source code would be shared only after an Upwork contract is established and would not include betting-account credentials or private API keys.
Öppna på Upwork
AI proposal draft
Generate a short cover letter for this job. Edit before sending.
Sign in to generate an AI proposal draft.
Logga in