Prescriptive Load Engine (Piecewise Wathan 1RM, RPE Discount & Bodyweight Calisthenics)
ISBN:978-0873226998)
and executed deterministically in the Struggl Prescriptive Load Subsystem.
1. Interactive Deterministic Calculator
2. Verifiable Reference Benchmark Table
Pre-computed directly from the Struggl Prescriptive Load Subsystem (calculate_prescribed_load):
| Target Reps | RPE 10 (0 RIR) | RPE 9 (1 RIR) | RPE 8.5 (1.5 RIR) | RPE 8 (2 RIR) | RPE 7 (3 RIR) | RPE 6 (4 RIR Gate) | Weighted Pull-Up @ 80kg BW, +40kg 1RM (RPE 8) |
|---|---|---|---|---|---|---|---|
| 1 rep | 100.0% | 95.1% | 93.4% | 91.7% | 88.6% | 85.7% | +30.0 kg belt (110.0 kg total) |
| 2 reps | 95.1% | 91.7% | 90.1% | 88.6% | 85.7% | 83.1% | +26.0 kg belt (106.0 kg total) |
| 3 reps | 91.7% | 88.6% | 87.1% | 85.7% | 83.1% | 80.6% | +22.5 kg belt (102.5 kg total) |
| 4 reps | 88.6% | 85.7% | 84.4% | 83.1% | 80.6% | 78.3% | +19.5 kg belt (99.5 kg total) |
| 5 reps | 85.7% | 83.1% | 81.8% | 80.6% | 78.3% | 76.1% | +16.5 kg belt (96.5 kg total) |
| 6 reps | 83.1% | 80.6% | 79.4% | 78.3% | 76.1% | 74.2% | +13.5 kg belt (93.5 kg total) |
| 8 reps | 78.3% | 76.1% | 75.1% | 74.2% | 72.3% | 70.6% | +9.0 kg belt (89.0 kg total) |
| 10 reps | 74.2% | 72.3% | 71.5% | 70.6% | 69.0% | 67.6% | +4.5 kg belt (84.5 kg total) |
| 12 reps | 70.6% | 69.0% | 68.3% | 67.6% | 66.2% | 65.0% | +1.0 kg belt (81.0 kg total) |
| 15 reps | 66.2% | 65.0% | 64.4% | 63.8% | 62.7% | 61.7% | -3.5 kg belt (76.5 kg total) |
3. Exact Deterministic Equations (Zero-LLM-Math Architecture)
4. Peer-Reviewed Scientific Evidence & CrossRef DOIs (1,104-Paper Corpus)
| Study / Citation | DOI / Identifier | Mechanistic Role in Struggl Engine |
|---|---|---|
| Wathan, D. (1994). Load Assignment. In T.R. Baechle (Ed.), Essentials of Strength Training and Conditioning (pp. 435-439). Human Kinetics. | ISBN:978-0873226998 |
Exponential 1RM prediction equation: 100*W / (48.8 + 53.8*e^(-0.075*r)) |
| LeSuer, D. A., McCormick, J. H., Mayhew, J. L., Wasserstein, R. L., & Arnold, M. D. (1997). The accuracy of prediction equations for estimating 1-RM performance in the bench press, squat, and deadlift. Journal of Strength and Conditioning Research, 11(4), 211-213. | 10.1519/00124278-199711000-00001 |
Validated Wathan (1994) as the lowest-error 1RM equation across squat, bench, and deadlift (r >= 0.95). |
| Zourdos, M. C., Klemp, A., Dolan, C., Quiles, J. M., Schau, K. A., Jo, E., Helms, E., Esgro, B., Duncan, S., Garcia Merino, S., & Blanco, R. (2016). Novel Resistance Training-Specific Rating of Perceived Exertion Scale Measuring Repetitions in Reserve. Journal of Strength and Conditioning Research, 30(1), 267-275. | 10.1519/JSC.0000000000001049 |
RIR-based RPE scale (1 RIR = 1 RPE point below 10; ~2.5% 1RM discount per RIR). |
| Helms, E. R., Cronin, J., Storey, A., & Zourdos, M. C. (2016). Application of the Repetitions in Reserve-Based Rating of Perceived Exertion Scale for Resistance Training. Strength and Conditioning Journal, 38(4), 42-49. | 10.1519/SSC.0000000000000218 |
Practical autoregulation and load prescription via RIR/RPE. |
| Weakley et al. (2020) — The Effects of Superset Configuration on Kinetic, Kinematic, and Perceived Exertion in the Barbell Bench Press. (Journal of strength and conditioning research) | 10.1519/jsc.0000000000002179 |
Cited in 1 Nippard audit video(s) |
| Helms et al. (2018) — RPE vs. Percentage 1RM Loading in Periodized Programs Matched for Sets and Repetitions. (Frontiers in physiology) | 10.3389/fphys.2018.00247 |
Cited in 1 Nippard audit video(s) |
| Barroso et al. (2013) — The effects of different intensities and durations of the general warm-up on leg press 1RM. (Journal of strength and conditioning research) | 10.1519/jsc.0b013e3182606cd9 |
Cited in 1 Nippard audit video(s) |
| Simão et al. (2005) — Influence of exercise order on the number of repetitions performed and perceived exertion during resistance exercises. (Journal of strength and conditioning research) | 10.1519/1533-4287(2005)19<152:ioeoot>2.0.co;2 |
Cited in 1 Nippard audit video(s) |
| Lagally et al. (2002) — Perceived exertion, electromyography, and blood lactate during acute bouts of resistance exercise. (Medicine and science in sports and exercise) | 10.1097/00005768-200203000-00025 |
Cited in 1 Nippard audit video(s) |
5. Frequently Asked Questions
Why does Struggl use the Wathan (1994) equation instead of Epley or Brzycki?
In LeSuer et al. (1997, DOI: 10.1519/00124278-199711000-00001), the exponential Wathan equation e1RM = 100*W / (48.8 + 53.8 * e^(-0.075 * reps)) achieved the highest correlation (r >= 0.95) and lowest error across Squat, Bench Press, and Deadlift across 1 to 10+ reps. Linear formulas like Brzycki diverge above 8-10 reps, whereas Wathan models the exponential decay of motor-unit endurance.
How do you calculate 1RM and RPE working weights for weighted pull-ups and dips?
Standard 1RM calculators fail on weighted calisthenics because they apply the percentage to the belt weight alone. In the Struggl Prescriptive Load Subsystem, the engine computes total system load (Bodyweight + External Belt Weight), applies the piecewise Wathan factor minus the Zourdos RPE discount ((10 - RPE) * 2.5%), and subtracts bodyweight at the final step.