Analysing Stats for BTTS
In order to make accurate predictions, it's not just about whether a team has high or low historical BTTS %. Here's some quick tips on what other match stats to cross-reference with before finalizing your predictions.
- Goal Volatility: The Prediction Risk statistic on teach team tells you how volatile their matches are in terms of number of goals. In 2017/2018, Liverpool conceded 1.50 goals per game on the road, whilst scoring 2.17 goals per game. This would make them a good selection for BTTS. At home, they conceded just 0.56 goals per game, suggesting that both teams may not score. When researching for BTTS markets, look for teams that concede a lot of goals (for BTTS:YES) and teams that have high clean sheet percentages (for BTTS:NO).
- Goals in Last 4-6 Matches: When looking for BTTS markets, it's important to look for patterns in recent form. Ask yourself questions, such as: Has the team been scoring frequently? If so, how often? Has the away side scored in the majority of their recent away matches? When was the last time these two sides kept a clean sheet?
- BTTS Percentage: Our interface allows you to easily search for matches with a high chance of BTTS occuring. This is determined by the amount of times these two sides have been involved in a game where both sides have scored. You can also view this same statistic on a per-league basis. For example, the Eerste Divisie had 65% of games ending with both teams scoring, whilst in Serie C, 46% of matches ended with both teams scoring.