Want to build a virtual sports prediction platform? We've got you — get all virtual football games data to train your prediction models with and build your bots.
Upcoming fixtures, in-play minutes, HT/FT scores and final results — structured per matchday and season round.
Data refreshes every virtual football round so your models and bots always train and run on the latest market state.
Clean JSON feeds designed for Python, Node and ML pipelines — no scraping infrastructure to maintain yourself.
Everything you need to train accurate virtual football prediction models and power production bots.
Home, draw and away prices plus Over/Under 1.5 and 2.5 markets for every fixture.
HT/FT scorelines and combined odds ranges for strategy filters and form analysis.
Season IDs, trading rounds, matchday numbers and calendar metadata per league.
Full-time scores and team-level goal records from previous matchdays for rolling form features.
In-play minute tracking and live-tab snapshots when rounds are in progress.
Normalized fixture objects with teams, odds blocks and result fields — drop straight into your stack.
SportyBet VFL
BetPawa English League
Bet9ja Virtual
Whether you're a solo quant or a team shipping a prediction product, Sportalon data fits your workflow.
Feed historical odds and results into scikit-learn, XGBoost or deep learning pipelines to find repeatable Over/Under edges.
Automate stake placement with live fixture and odds snapshots — poll each round and act before the market closes.
Replay matchday after matchday with real prices and outcomes to validate tricks and filters before going live.
// Example fixture snapshot (simplified) { "matchday": 12, "home": "Arsenal", "away": "Chelsea", "odds": { "ou25_over": 1.82, "ou25_under": 1.94 }, "ht_ft": { "ht": "1-0", "ft": "2-1" }, "prev_goals": { "home": 3, "away": 1 } }
Get in touch for early API access, bulk historical exports and custom data feeds for your virtual football prediction models and bots.