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Guys and Girls bikes by anatomical variance.

Writer's picture: Travis StoneTravis Stone

Updated: Sep 3, 2023


Anatomical variance for bikes

ladies and gentlemen:


Differences in measurements

  1. Crank Arm Length: The length of the crank arms can impact pedal stroke efficiency and comfort. Shorter or longer crank arms may be preferred based on a rider's leg length and pedaling style.

  2. Handlebar Width: Handlebar width affects shoulder comfort and control. Riders with broader or narrower shoulders may prefer different handlebar widths.

  3. Saddle Position (Fore-Aft): The fore-aft saddle position influences weight distribution and comfort. The optimal saddle position can vary based on a rider's hip flexibility and pedaling style.

  4. Saddle Height: Saddle height is crucial for proper leg extension and pedaling efficiency. Leg length and pedaling mechanics can influence saddle height.

  5. Saddle Tilt: The tilt of the saddle can impact rider comfort and pressure on sensitive areas. Individual anatomy and riding preferences may dictate saddle tilt.

  6. Stem Length: Stem length affects the reach to the handlebars. Riders with longer or shorter torsos may prefer different stem lengths.

  7. Crankset Q-Factor: Q-factor influences knee alignment during pedaling. Riders with wider or narrower hips may benefit from adjusted Q-factors.

  8. Handlebar Drop: Handlebar drop affects the drop from the saddle to the handlebars. Rider flexibility and comfort influence handlebar drop preferences.

  9. Saddle Choice: Saddle choice depends on sit bone width and soft tissue anatomy. A comfortable saddle should accommodate individual pelvic anatomy.

  10. Pedal Position (Cleat Adjustment): Cleat position on the shoes affects foot alignment and knee comfort. Individual foot structure can influence cleat adjustments.

  11. Suspension Setup (if applicable): Suspension settings should match a rider's weight and riding style. Rider weight can vary significantly, affecting suspension performance.


Idiopathic differences are to be predicted
















Travis Stone & Bard/OpenAI

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