Research theme

This is the pivotal paper in the cluster — the one where Felton’s individual-specific programme turns around and answers the question it had been avoiding: does optimal technique actually look the same across bowlers?

The setup is a genuine methodological standoff. Group studies give “on average” statements that Glazier and Mehdizadeh (2019) argued cannot be applied to individuals — the paper’s own example is that run-up speed relates to ball speed linearly within a group but quadratically within individuals, and that numerous elite international bowlers do not display all the supposedly optimal characteristics. But individual-specific simulation studies (Felton’s own 2020 paper) have the mirror-image problem: you cannot know whether one bowler’s optimum is suitable, or even attainable, for anyone else. The way out: run the individual-specific method on many individuals and look for trends. That had never been done with forward-dynamics models because of the computational cost.

Method, plainly: the same 16-segment planar torque-driven simulation model as Felton et al. (2020), customised and evaluated separately for ten elite male fast bowlers, then both the landing position and the subsequent movement pattern optimised for each — 112 parameters per bowler (98 torque activation parameters across seven joints; 12 initial joint angles and angular velocities at front ankle, knee, hip, rear hip, front shoulder and bowling shoulder; 2 initial trunk orientation angle and angular velocity), run on Loughborough’s high-performance computing system. Then paired t-tests on discrete parameters (SPSS) and SPM1D on continuous time histories.

What they measured

Findings

Causal within the model; the sample is ten bowlers, each with their own model.

  1. Model evaluation across ten bowlers. Mean objective difference 5.0% (SD 0.8; range 4.0–6.5): kinematic difference 1.9% (SD 0.5; range 0.9–2.7) and force difference 11.3% (SD 1.9; range 9.2–15.0). All ten models were passed for optimisation.

  2. Optimised techniques were 13.5% faster. Ball release speed rose by 4.8 ± 1.3 m/s (13.5 ± 4.1%), from 35.9 ± 1.5 m/s to 40.7 ± 1.6 m/s, p < 0.001, effect size 3.1 — optimised speeds ranged 37.8 to 42.9 m/s. Phase duration was unchanged (101 ± 8.4 → 102 ± 6.0 ms, p = 0.888).

  3. Kinetic results (Table 1), current → optimised:

    • Peak horizontal braking force: 4.13 ± 0.7 → 3.94 ± 0.4 BW, p = 0.394 (not significant), ES 0.33
    • Peak vertical force: 6.03 ± 1.3 → 5.68 ± 0.8 BW, p = 0.093 (not significant), ES 0.33
    • Horizontal braking loading rate: 154 ± 39 → 128 ± 45 BW/s, p = 0.008, ES 0.60
    • Vertical loading rate: 249 ± 118 → 172 ± 70 BW/s, p = 0.022, ES 0.70
    • Horizontal braking impulse: 0.15 ± 0.05 → 0.15 ± 0.05 BW·s, p = 0.882
    • Vertical impulse: 0.31 ± 0.05 → 0.29 ± 0.06 BW·s, p = 0.383

    So: loading rates fell significantly; peak forces and impulses did not. (See the internal-inconsistency flag below — the abstract and discussion say “lower peak ground reaction forces and loading rates”.)

  4. Commonalities in the landing position (all ten bowlers). At front foot contact the optimised techniques had:

    • More extended front knees
    • More flexed front shoulder (front arm higher)
    • More flexed bowling shoulder (arm further back / more delayed)
  5. Commonalities in the subsequent movement (all ten bowlers). Delays to the onset of:

    • Trunk flexion
    • Front arm shoulder extension
    • Bowling arm shoulder extension
    • Wrist flexion

    …followed by increased magnitude of trunk, rear leg and both arms moving towards the target. The front leg stayed more extended throughout.

  6. Joint torque commonalities: lower front hip extensor torque, lower front shoulder flexor torque, greater bowling shoulder extensor torque. Notably there were no significant differences in front knee joint torque — despite every optimised technique having a more extended knee. And not all optimised techniques used a fully braced knee throughout. The authors infer that factors outside the study (e.g. centre-of-mass velocity at front foot contact) influence front knee kinematics.

  7. A genuinely new observation about the front arm. The optimised front shoulder starts more flexed (higher), which lowers front shoulder flexor torque in the first half of the phase, and then extends further and faster. The authors’ proposed mechanism: a high front arm helps align the shoulder girdle and stabilise the upper body, aiding the bowling arm’s delay — but it raises the upper body’s rotational inertia, so the front arm must then accelerate downwards to align with the torso and let the trunk flex. They state: “this is the first study to highlight this movement.”

  8. The claim the paper makes for itself. From the conclusion: “This study has resolved the controversy on whether individual and group optimisation studies of fast bowling reflect underlying commonalities.” It does retain the individual caveat — whether a given bowler can adopt these characteristics depends on their organismic constraints (range of motion, strength, anthropometry) and self-organisation processes — and notes evidence that gender-related constraints may alter optimal technique for female bowlers (Felton et al., 2019a).

  9. Applied use is confirmed: “The individual optimisations… have been used indicatively to support applied coaching.”

What a coach should look for on video

This is the strongest evidence base in the cluster for general coaching cues, because every cue below held for all ten elite bowlers, not one. But note that the targets are common while attainability is not.

Cue 1 — Front knee more extended at landing and held

Cue 2 — Front arm high at landing, then pulled down hard

Cue 3 — Bowling arm further back at landing, and starting later

Cue 4 — Trunk flexion: delayed onset, larger total

Cue 5 — Wrist flexion delayed

Cue 6 — A load-management observation, with a caveat

What is NOT supported: the rear leg. The paper reports delayed rear hip flexion in the optimised techniques but attributes it to changed proximal-to-distal sequencing (there were no significant rear hip torque differences), calls the function of rear hip flexion “uncertain”, and it contradicts Felton et al. (2020). Do not cue it.

Caveats and limits

Relationship to other Felton work

CONTRADICTION: (the individual-specific message is partially reversed) Felton’s earlier work — especially Felton 2017 — optimising individual performance — argues that group research “is not suitable to understand the changes required to optimise an individual’s performance” and that the point of the method is a bespoke prescription for one named athlete. This paper concludes it “has resolved the controversy on whether individual and group optimisation studies of fast bowling reflect underlying commonalities” and reports that the same characteristics emerged for all ten bowlers. That is a substantial reversal of the individual-specific-only message. The individuality that survives is about attainability and constraint, not about what the target technique is: the optimal shape is common; whether a given bowler’s range of motion, strength and anthropometry let them reach it is individual. This distinction is the single most important thing a coach should take from this cluster.

CONTRADICTION: (rear hip flexion timing) here the optimised techniques delayed rear hip flexion, with the proposed benefit that it delays trunk flexion until after front foot contact for a more efficient momentum transfer. Felton 2020 — optimising the front foot contact phase — same model, same lab — found the optimised technique had earlier and faster rear hip flexion, with the proposed benefit of reducing the moment of inertia about the front hip. Opposite directions, same joint, and the 2023 paper does not acknowledge the reversal.

TENSION: (peak forces) the abstract’s “lower peak ground reaction forces” is not supported by the paper’s own Table 1 (p = 0.394 and p = 0.093). The same overclaim appears in the 2023 ISCSB conference paper. Only loading rates fell significantly.

TENSION: (the 22% vs 13.5%) the earlier conference papers claimed a 22% gain from optimising the landing position for a single bowler. This group study, running the same both-position-and-movement optimisation, found 13.5 ± 4.1% across ten bowlers, with a maximum optimised speed of 42.9 m/s. The 13.5% is the number to use.