Products

Virtual Sports Data

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.

Build smarter. Sportalon aggregates virtual football fixtures, live odds, half-time and full-time scores, matchday rounds and historical results from top bookmakers — ready for model training, backtesting and automated betting bots.

Complete

Full match lifecycle

Upcoming fixtures, in-play minutes, HT/FT scores and final results — structured per matchday and season round.

Fresh

Round-by-round updates

Data refreshes every virtual football round so your models and bots always train and run on the latest market state.

Ready

Built for builders

Clean JSON feeds designed for Python, Node and ML pipelines — no scraping infrastructure to maintain yourself.

What's in the dataset

Everything you need to train accurate virtual football prediction models and power production bots.

1X2
Pre-match odds

Home, draw and away prices plus Over/Under 1.5 and 2.5 markets for every fixture.

HT
Half-time & full-time

HT/FT scorelines and combined odds ranges for strategy filters and form analysis.

MD
Matchday & round context

Season IDs, trading rounds, matchday numbers and calendar metadata per league.

FT
Historical results

Full-time scores and team-level goal records from previous matchdays for rolling form features.

Live fixture state

In-play minute tracking and live-tab snapshots when rounds are in progress.

{ }
Structured JSON output

Normalized fixture objects with teams, odds blocks and result fields — drop straight into your stack.

SportyBet VFL BetPawa English League Bet9ja Virtual

Built for your use case

Whether you're a solo quant or a team shipping a prediction product, Sportalon data fits your workflow.

Train ML models

Feed historical odds and results into scikit-learn, XGBoost or deep learning pipelines to find repeatable Over/Under edges.

Build betting bots

Automate stake placement with live fixture and odds snapshots — poll each round and act before the market closes.

Backtest strategies

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 }
}

Ready to build your platform?

Get in touch for early API access, bulk historical exports and custom data feeds for your virtual football prediction models and bots.