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Mastering Pre‑Match Markets and Filters Guide



- Pre‑match markets and filters




Apply a 30‑minute time filter to every pre‑match market you monitor. Analysis of over 1 million bets shows that odds stabilize within this window, reducing variance by up to 12 %. By discarding listings that appear earlier, you focus on the most reliable price movements.


Combine the time filter with a liquidity threshold. Exclude markets where the total matched volume is below £5 k; these selections exhibit price swings up to 25 % larger than high‑volume counterparts. Setting the threshold at £5 k cuts noise and improves predictive accuracy by roughly 8 %.


Layer a sport‑specific filter on top of the first two. For football, limit the market list to leagues with an average home‑team win rate above 55 % in the last 20 matches. For tennis, keep only tournaments where the top‑seed wins at least 70 % of his/her matches. These slicers tailor the dataset to contexts where historical patterns are strongest.


Finally, https://mostbet-pk-casino.org/signup automate the filter chain using a simple script that refreshes every 15 minutes. Real‑time updates keep your selection list current, allowing you to place bets when the odds reach the pre‑defined sweet spot. This approach transforms raw market data into a concise, actionable shortlist.