IPL Hawkeye shows optimal lengths

Bowling length sounds simple until you try to optimize it. “Hit a good length” is the oldest fast-bowling instruction in cricket — but in the IPL, a good length in over 2 is not the same thing as a good length in over 19. That is the gap this Hawk-Eye analysis tries to close. Lau Sze Yui, the analyst better known online as @903124S, used IPL ball-tracking data to show how bounce point changes both run rate and wicket rate for seamers, then turned that into a more practical question: where should you actually pitch the ball in each phase? ### What is Hawk-Eye giving you here? Hawk-Eye is the tracking system that captures the ball’s path with multiple cameras and reconstructs its trajectory in 3D. In cricket broadcasts, most people know it from LBW reviews. But the same system also logs where the ball lands on the pitch, which means analysts can group deliveries by bounce location instead of relying on rough labels like yorker, short, or hard length. That is a big step up, because pitch maps become measurable rather than descriptive. (ivoox.com) ### Why does “good length” break in T20? Because the batting environment has changed faster than the cliché. IPL scoring has exploded, especially in the powerplay. Early in the 2026 season, powerplay run rate reached 10.44, up sharply from 7.49 in 2022, and the gap between powerplay and death-over scoring almost vanished. Basically, batters now attack earlier and more often, so bowlers cannot assume one safe default length will survive every situation. (newindianexpress.com) ### So what did the thread actually do? It treated bounce location as the core variable and looked at two outcomes together — runs conceded and wickets taken. That matters because bowlers are always trading one against the other. A length that cuts boundary rate but never gets wickets can still lose you a chase. A length that creates chances but leaks too many fours can be unusable. The smart move is expected value — weighing both costs and upside by over phase, match state, and batter intent. (espncricinfo.com) ### Why is that more useful than a pitch map? Because a pitch map tells you what happened, not whether it was smart. The useful question is not “where did the bowler bowl?” but “what happened when bowlers landed it there?” Once you frame it that way, you can start identifying zones that are merely common versus zones that are actually efficient. That turns visual broadcast data into a decision tool for captains, analysts, and scouting groups. (github.com) ### What is the likely takeaway on lengths? The thread’s basic point is that optimal length moves with context. In the powerplay, seamers often want a fuller zone than the old back-of-a-length default, because wickets still matter most there and batters are taking early risks. At the death, the efficient zone usually shifts again — often toward yorker-ish or very hard-length options depending on angle and execution — because boundary prevention becomes the main problem. The exact coordinates matter less than the principle: length is phase-specific, not universal. (github.com) ### Why should teams care? Because this is the kind of analysis that can become a bowling plan by tomorrow. You can build role-specific targets for new-ball bowlers, death specialists, and matchup subs. You can tie those targets to required run rate, batter handedness, or venue bounce. And you can audit execution after the game with the same coordinates. That is much closer to baseball-style pitch design than old-school coaching language. (espncricinfo.com) ### What’s the bottom line? This is really a story about precision. Hawk-Eye data lets analysts replace vague advice with location bands that have measurable payoff. In a league where batting keeps getting louder, that kind of specificity is not a nice extra — it is how bowling plans stay alive. (espncricinfo.com) (github.com)