A SYSTEM FOR FAST BOWLING PERFORMANCE- BUILT FOR TRANSFER

Ball speed is our primary indicator of progression and transfer, because it reflects neural output and whether training is actually raising an athlete’s ceiling. We measure it using consistent protocols with Pocket Radar at defined points across the plan and within key session types, tracking both peak speed and how repeatable that speed is under fatigue. If speed is not improving—or if it cannot be accessed reliably—the system is not transferring, and the intervention changes.

We measure bowling stress, not just volume, because ball counts alone ignore the reality that intent, intensity, and implement weight massively change the load on the system. Workload is monitored through planned exposure types across the week and controlled using tolerance-based decision rules (including drop-off thresholds) so we can progress durability without suppressing speed. This is how we avoid both overcooking and undercooking—building bowlers who can handle the demands of fast bowling while keeping output available

We quantify key technical positions and movement patterns because technique needs to be measured, not guessed, and any change must hold under speed and fatigue to be meaningful. Using Pitchwolf AI, supported by repeatable video capture, we track objective kinematic metrics across phases and compare them against performance outputs such as ball speed and execution quality. This prevents cosmetic coaching, allows us to verify what is working, and ties technical interventions directly to outcomes that matter.

We measure force–velocity and load–velocity characteristics to identify the true limiter—whether an athlete is force-limited, velocity-limited, or inefficient at converting force to speed—and to guide decisions around heavy-ball, light-ball, or blended exposure. Using 1080 Sprint profiling at consistent checkpoints, we can see exactly which quality needs to move and whether the athlete is adapting in the direction that should raise bowling output. This replaces generic programming with targeted intervention and dramatically increases the likelihood of real transfer to ball speed and robustness.

We track foundational strength and elastic qualities because they provide the capacity base that supports output, resilience, and repeatability across a season. Using simple, reliable strength and power markers repeated across the plan, we build context for why speed is moving or stalling and whether the athlete can tolerate the exposures required to get faster. These numbers are not treated in isolation; they are interpreted alongside speed, workload response, and kinematics so the programme develops the right engine—not just more training volume.

We measure execution quality—accuracy and dispersion under real intent—because performance is stable skill at high output, not slow practice that disappears under pressure. Execution tasks are embedded into sessions where intensity and fatigue are present, and we track whether outcomes remain stable as constraints increase, rather than relying on one-off target drills. This ensures that speed improvements convert into usable fast bowling performance, where the athlete can bowl fast and still hit the areas that win games.