More recent tools like Hawkeye and Snickometer are the center of controversy these days, with some of the former cricketing greats questioning their value to the game. More prominent being Dennis Lillee, the great Australian fast bowler, who slammed Hawkeye recently as:
Predictive Tools: The Next Step?
Hawkeye is different from other technologies used in cricket, in that, it is a predictive tool. The way Hawkeye is supposed to work is, it observes the trajectory of a delivery at various points, till say it hits the batsman's pads, and then predicts its trajectory past that point based on various additional factors, like speed, how it got off the pitch, etc. Now, I understand that there are limitations to the predictive curves that Hawkeye gives, that it's not 100% right, and probably won't be in the near future too. But then, before a gadget is discarded, we must measure its effectiveness―both absolute and with respect to the alternatives!
How does one measure absolute effectiveness of a predictive tool? A simple way would be, to record trajectories of assorted deliveries bowled by different kinds of bowlers in different condition―without any batsmen there to play the deliveries―which means the complete reference curves would be with us for comparison. Then we should simulate how Hawkeye would predict decisions, by invoking a Hawkeye simulator at random points in these test cases. Since we already know the results, we can measure effectiveness of the gadget. We should probably start with an a-priori consensus minimum performance requirements that we expect from the tool, to be considered an effective judge (or a helper tool) of LBW decisions.
Now, for measuring effectiveness with respect to the alternatives, what are the alternatives here? The on-field umpires who do the same prediction in a split second! What is their success rate? Experienced umpires like David Shepherd and Steve Bucknor missed plumb LBW decisions during India's tour to Australia recently, screwing up India's chances of winning a series down-under. LBW is probably the most misjudged decision in cricket, even at the international level. A few years back, run-outs and stumpings would have competed with it, but now, thanks to the third umpire, that's changed. Technology―which was questioned in a similar manner when it was being introduced―has supplemented the umpires. Even with Snickometer, can the best (and I'm not even talking about the average) umpires beat Snickometer consistently in judging a thin edge (especially in noisy stadiums like Eden Gardens), or in distinguishing an edge from the bat hitting the pad?
Mistakes: Honest and Dishonest
We must also consider that the umpires are, after all, human―meaning, they can be incompetent, or they can be plain biased! It's not uncommon for some teams to change the bowler's end just to get him on from a more sympathetic end. It's also not uncommon for umpires to be pressurized by bowlers, fielders, and indeed the crowds. It's not uncommon for umpires to hold personal grudges against some players. All these factors affect their effectiveness. This, when cricket has become a high-profile game, viewed by millions. This, when one mistake―honest or otherwise―can completely turn the outcome of the game!
It's surprising that former greats have reservations about such gadgets and technologies, even when they're being used only to judge the judges. When third umpires were being introduced, there was a similar commotion in some ex-players. Maybe it's just their age and their archaic fears that bring out such knee-jerking comments. Today, no one doubts the value of the third umpire. It's a valuable assistance to the umpires on the ground. Even visual aids like replays can go a long way in improving LBW decisions―did the ball hit outside the line of the off stump? Did it pitch outside the leg stump? We don't need predictive tools for this! Visual evidence is enough―something which every television viewer has at his disposal. Umpires will be judged more and more in these televised days. It's cruel to leave them without the aids that can enhance their effectiveness. We should be careful not to throw the baby out with the bathwater in case of predictive tools, because of our implicit discomfort with technology. We must evaluate them objectively.