Winning and Score Predictor (WASP) is a calculation tool used in cricket to predict scores and possible results of a limited overs match, e.g. One Day and Twenty 20 matches.
The prediction is based upon factors like the ease of scoring on the day according to the pitch, weather and boundary size. For the team batting first, it gives the prediction of the final total. For the team batting second, it gives the probability of the chasing team winning, although it does not just take the match situation into equation. Predictions are based on the average team playing against the average team in those conditions.[1]
The models are based on a database of all non-shortened One Day International (ODI) matches and Twenty20 games played between top-eight countries since late 2006 (slightly further back for Twenty20 games). The batting-first model estimates the additional runs likely to be scored as a function of the number of balls and wickets remaining. The batting-second model estimates the probability of winning as a function of balls and wickets remaining, runs scored to date, and the target score. Projected score or required run-rate will not qualitatively show the real picture as they fail to take into the account the quality of the batting team and the quality of the bowling attack. WASP[2] is a very good quantitative parameter.[3]