Sports Betting Web Platform Development
Budget: $30 – $80 USD
We are a private professional betting team focused on basketball, especially totals and halftime markets.
We want to build an internal web platform for our team that will:
– Connect to external data sources (BetAPI, Pinnacle API, later possibly other bookmakers).
– Store lines, totals and limits in a database.
– Implement our custom business logic:
* total ranges (like “range 2–8”),
* adjusted closing total (based on Pinnacle odds imbalance),
* rules like “+N points from adjusted close at halftime” to decide if a game is “in work” or not.
– Show all this in a simple web dashboard for our analysts and bettors.
### MVP scope (Phase 1):
1. Data integration:
– Integrate with BetAPI (prematch + live odds/totals).
– Integrate with Pinnacle API (odds + limits).
– Design a structure to add other bookmakers later.
2. Database:
– Design and deploy a relational DB (preferably PostgreSQL).
– Store historical and live lines, limits, game metadata.
3. Business logic:
– Implement our total range system and “+N points from adjusted close” rules.
– Implement closing line adjustment (normalize closing total based on Pinnacle odds).
– For each game, calculate its status at halftime: “in work / not in work”.
4. Web dashboard:
– List of games with league, time, closing line, halftime line, odds/limits from different books.
– Highlight games that are “in work” according to our rules.
– Basic filters (by league, time, status).
– Simple multi-user auth (small internal team).
5. Logging:
– Log all calculated signals and statuses.
– Prepare data so that we can later train ML models (fair total prediction, game selection, etc.).
### Tech stack (preferred):
– Backend: Python (FastAPI / Django / Flask).
– Database: PostgreSQL (or similar).
– Frontend: any modern framework (React / Vue / simple admin panel).
– Experience with external APIs (REST, auth, rate limits).
– Bonus: experience with sports analytics / sports betting.
We want to build an internal web platform for our team that will:
– Connect to external data sources (BetAPI, Pinnacle API, later possibly other bookmakers).
– Store lines, totals and limits in a database.
– Implement our custom business logic:
* total ranges (like “range 2–8”),
* adjusted closing total (based on Pinnacle odds imbalance),
* rules like “+N points from adjusted close at halftime” to decide if a game is “in work” or not.
– Show all this in a simple web dashboard for our analysts and bettors.
### MVP scope (Phase 1):
1. Data integration:
– Integrate with BetAPI (prematch + live odds/totals).
– Integrate with Pinnacle API (odds + limits).
– Design a structure to add other bookmakers later.
2. Database:
– Design and deploy a relational DB (preferably PostgreSQL).
– Store historical and live lines, limits, game metadata.
3. Business logic:
– Implement our total range system and “+N points from adjusted close” rules.
– Implement closing line adjustment (normalize closing total based on Pinnacle odds).
– For each game, calculate its status at halftime: “in work / not in work”.
4. Web dashboard:
– List of games with league, time, closing line, halftime line, odds/limits from different books.
– Highlight games that are “in work” according to our rules.
– Basic filters (by league, time, status).
– Simple multi-user auth (small internal team).
5. Logging:
– Log all calculated signals and statuses.
– Prepare data so that we can later train ML models (fair total prediction, game selection, etc.).
### Tech stack (preferred):
– Backend: Python (FastAPI / Django / Flask).
– Database: PostgreSQL (or similar).
– Frontend: any modern framework (React / Vue / simple admin panel).
– Experience with external APIs (REST, auth, rate limits).
– Bonus: experience with sports analytics / sports betting.
Related categories:
Python
PostgreSQL
React.js
Web Development
Vue.js
Data Integration
Database Design
API Development
FastAPI