Published 17:26 IST, October 25th 2019
VJD Method: The scoring system impacts the Vijay Hazare Trophy final
VJD method helped Karnataka lift the 2019-20 Vijay Hazare Trophy beating Tamil Nadu in the final. We take at a look at how system works in rain-curtailed match.
- SportFit
- 2 min read
Karnataka lifted the 2019-20 Vijay Hazare Trophy after beating Tamil Nadu by 60 runs via the VJD method in a rain-affected match at the M Chinnaswamy Stadium in Bengaluru. Although the Duckworth Lewis Method is the traditional way of deciding the result of any delayed match, but not many may be aware of the VJD method that was used in the Vijay Hazare Trophy final. We take at look at this system and how its works.
VJD Method meaning
The VJD method is a method of calculating target scores in rain-affected matches. The devised was made by a civil engineer from Kerala, V Jayadevan. The method is seen as the alternative method for the DLS (Duckworth, Lewis and Sterne) method.
Tournaments where VJD method was used
The VJD method was previously used in the erstwhile Indian Cricket League (ICL) and the Tamil Nadu Premier League (TNPL). It was considered for usage in the fourth and fifth seasons of the IPL.
How does the VJD system work?
The VJD system takes into account the statistics from previous games. whereas the DLS method does not take into account a team's recent form. The DLS method assumes that the scoring rate of teams continues to increase as the innings go on, and fixes the target score accordingly. However, the VJD system divides the innings into phases. It assumes a high scoring rate in the first few overs, considering fielding restrictions, assumes a drop in the rate in the middle overs, and assumes another rise in the slog overs.
How VJD and DRS calculates scoring
Another advantage that the VJD method has over the DLS method in terms of having a more humane way of calculating targets is that it considers two curves on the graph as opposed to the single curve on the DLS graph on which all calculations are made.
Updated 18:41 IST, October 25th 2019