A sleek and responsive web app built to help users quickly compare betting odds from multiple sportsbooks across a wide range of sports.
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Updated
May 13, 2026 - TypeScript
A sleek and responsive web app built to help users quickly compare betting odds from multiple sportsbooks across a wide range of sports.
Multi-sport prop betting engine. XGBoost models + FanDuel odds + PrizePicks lines. NBA (17 models) and Tennis (7 models).
Swish Analytics is a machine-learning sports analytics company that prices and originates sportsbook markets. Its B2B API delivers hyper-accurate player-prop pricing, pre-match and in-play match/team markets, single and parlay (accumulator) bet-request pricing, and market results across NFL, NBA, MLB, NHL, NCAA basketball and football, ATP and WTA…
This repository contains a production-style Streamlit app for NBA player points prop forecasting. It predicts uncertainty-aware outcomes with a transformer quantile model and includes a betting-lines workflow with automatic result grading.
🏀 Um painel preditivo com estética Glassmorphism/Neon para análise de risco em Player Props da NBA. Construído com Python (Flask), cruzamento de múltiplas APIs em tempo real e ponderação dinâmica de defesas via IA Generativa (Gemini).
ThriveFantasy was a New York City daily fantasy sports platform focused on player-prop pick'em contests across NFL, NBA, MLB, esports, and other leagues, backed by Bullpen Capital. The company ceased operations in early 2024 after a failed funding round and a player-withdrawal crisis.
PrizePicks is a US daily-fantasy/pick-em sports operator focused on player-prop projections (more/less). PrizePicks does not publish a public developer REST API. Internal/private endpoints power the web and mobile apps but are not documented or licensed for third-party use.
NFL player prop predictor using XGBoost and normal distribution modeling. Predicts over/under probability on RB, WR, TE, and QB yardage props.
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