Here is what the page “Data-Driven Cricket Ratings Could Reveal Undervalued Batters and Bowlers Through Peer Comp” contains. A new analytical method could help professional cricket franchises make smarter decisions on player recruitment, retention, and team selection, according to research published in the International Journal of Services and Operations Management. The approach uses data envelopment analysis (DEA), a technique that compares efficiency by considering multiple inputs and outputs simultaneously. In cricket, this means evaluating players against their peers rather than relying solely on individual statistics like batting average or bowling economy.
The DEA method identifies players who are performing efficiently relative to others with similar roles and conditions. This can uncover undervalued batters and bowlers who may not top traditional leaderboards but deliver strong all-round contributions. For example, a middle-order batter with a modest strike rate but high consistency in tough match situations might be rated more highly than a flashy opener with a few big scores. The full version stays on the original page, which this listing opens directly.