EsportsBasics
CS2 favourites betting strategy, backtested
Esports is many games in one market. This template narrows the data to Counter-Strike 2, then keeps matches where the listed home team is the favourite.
Betting esports as one blob is a category error: CS2, Dota and League of Legends have different structures, metas and pricing quality. The first professional move is scoping to a single game, and that is exactly what this template demonstrates before adding the simplest possible signal.
How the filter tree works
- Group: only matches in the CS2 group qualify, filtering the esports feed down to Counter-Strike 2.
- Favourite side: the first-listed team must be the market favourite.
The group filter is the reusable lesson: any game title in the esports data can be isolated the same way.
What to watch
- CS2 rosters change constantly and patches shift the meta; six-month-old form can describe a different team under the same tag.
- Favourite prices in tier-one CS2 are sharp, while tier-two events are thinner and noisier; consider which events your sample actually contains.
- Upsets are structurally common in a game of pistol rounds and momentum swings.
Tweaks to try
- Add an odds range, for example 1.30 to 1.70, to define a playable favourite band.
- Add a best-of filter; favourites convert more reliably in longer series.
- Clone the template for another game group and compare markets.
Backtest it on years of Pinnacle closing odds in backtesting for esports.
Filters used by this strategy
Related strategy templates
Home favourites The clear home favourite at short-ish odds: combines the favourite-side and odds-range filters.Major leagues only Keep only high-liquidity leagues: a one-filter way to avoid thin, soft markets.Weekend goals Over 2.5 goals on weekend fixtures: pairs a day-of-week filter with a totals odds range.Follow one team Only matches involving a specific team: shows how the team-name filter works.
Try this strategy in the builder
Opens pre-filled in the builder, ready to backtest on real Pinnacle closing odds.