In a landmark 2001 study, Carl Foster and colleagues showed that session RPE — a single rating collected 30 minutes after a training bout — correlated r = 0.88 with heart-rate-derived training impulse (TRIMP) across both endurance and resistance training sessions (Foster et al., 2001, Journal of Strength and Conditioning Research). That near-perfect correlation is why session RPE has become the most widely deployed training-load tool on the planet: it costs zero dollars, requires 10 seconds per athlete, and carries real predictive power over injury and illness incidence.
This guide walks through exactly how to collect session RPE, how to convert it into weekly and acute-chronic workload values, and — critically — how to integrate it with the jump-velocity readiness data that modern IMU sensors now make practical for everyday gym use.
What Is Session RPE?
Session RPE is a post-hoc internal-load metric. Rather than asking how hard a single interval or set felt, you ask the athlete one question: "How was your workout?" — exactly 30 minutes after the session ends. That delay is deliberate: it smooths over momentary peaks and captures the overall physiological stress of the session.
The output is a number from 0 to 10 on the CR-10 scale (0 = rest, 10 = maximal). Multiply that number by session duration in minutes to get session load in arbitrary units (AU). A 60-minute gym session rated 6 = 360 AU. Summing daily session loads over 7 days gives the acute weekly load; a 28-day rolling average yields the chronic load.
Session RPE captures what external-load metrics (tonnage, sets, reps) cannot: the actual stress imposed on the nervous system and hormonal axis. Two athletes lifting identical weight for identical sets can report RPE 5 versus RPE 8 depending on sleep debt, travel, and hydration — and the one who reports 8 is accumulating far more biological load.
The Foster CR-10 Scale Explained
The CR-10 scale was adapted from Borg's category-ratio scale specifically for sports settings. Unlike the original 6-20 scale anchored to heart rate, CR-10 is anchored to subjective descriptors that athletes find intuitive:
| Score | Descriptor | Typical Context |
|---|---|---|
| 0 | Rest | No training |
| 1 | Very, very easy | Active recovery walk |
| 2 | Easy | Light mobility session |
| 3 | Moderate | Technical drill session |
| 4 | Somewhat hard | Sub-threshold aerobic |
| 5 | Hard | Moderate strength block |
| 6 | Hard+ | Hypertrophy day, high volume |
| 7 | Very hard | Heavy compound session, RPE 8-9 sets |
| 8 | Very, very hard | Max-effort day, competition simulation |
| 9 | Near maximal | Testing day or exceed planned load |
| 10 | Maximal | Absolute limit, rare in planned training |
Key implementation note: ask only after the 30-minute window. Athletes queried immediately post-session over-rate by 0.5-1.0 points due to the influence of the final high-intensity effort (Impellizzeri et al., 2004).
Collecting Session RPE Correctly
Consistency in collection protocol is more important than any specific tool. Three field rules govern reliable data:
- Standardize the timing. Always collect at 30 ± 5 minutes post-session. Earlier inflates scores; later deflates them as soreness and fatigue memories fade.
- Ask the global question only. Do not mention heart rate, load, or any specific exercise before asking. Leading questions anchor athlete responses. Simply say: "How was your workout?"
- Keep the scale visible. Print the 0-10 descriptors on a laminated card or display them in your team app. Verbal recall of anchors degrades consistency over time.
For team sports, a group text survey at a fixed time works well. Coaches should expect 5-10% of ratings to be outliers from athletes who either anchor too conservatively (always rating 5) or too liberally (always rating 8-9). Cross-reference outliers against heart-rate zone data when available, and discuss calibration in pre-season education sessions.
Calculating Weekly Training Load
The arithmetic is simple but the interpretation requires context. Here is a standard 4-week mesocycle load structure for a strength-power athlete:
| Week | Daily Sessions (AU) | Acute Load (7-day sum) | Chronic Load (28-day avg/day × 7) | ACWR |
|---|---|---|---|---|
| Week 1 (Base) | 280, 0, 340, 0, 300, 0, 0 | 920 | — | — |
| Week 2 | 320, 0, 380, 0, 340, 180, 0 | 1220 | ~1070 | 1.14 |
| Week 3 (Overreach) | 360, 0, 420, 0, 390, 200, 0 | 1370 | ~1100 | 1.25 |
| Week 4 (Deload) | 180, 0, 200, 0, 180, 0, 0 | 560 | ~1100 | 0.51 |
Note that the deload week ACWR drops sharply below 0.8 — this is intentional and expected. The concern is not the single-week dip but sustaining values below 0.8 for multiple consecutive weeks, which signals undertraining and fitness decay.
For practical purposes, most coaches track a simplified version: compare this week's total AU to last week's. A week-over-week increase greater than 15% warrants a closer look at athlete readiness markers before proceeding.
ACWR and Readiness Thresholds
The acute-to-chronic workload ratio (ACWR) gained widespread adoption after Hulin et al. (2016) reported that athletes with ACWR above 1.5 were 2.1 times more likely to sustain soft-tissue injury in the following week compared to those in the 0.8–1.3 "sweet spot" (Hulin et al., 2016, British Journal of Sports Medicine). Subsequent meta-analyses have moderated this finding somewhat — the exact injury-risk threshold varies by sport and load type — but the directional principle holds: rapid load spikes are riskier than gradual progression.
Practical ACWR thresholds for strength-sport athletes:
- Below 0.8: Underloaded; fitness likely decaying. Consider adding a session or increasing density.
- 0.8–1.3: Optimal training zone. Progressive overload is occurring with manageable fatigue.
- 1.3–1.5: Amber zone. Monitor subjective wellness closely. Consider adjusting the next session.
- Above 1.5: Elevated risk. Reduce volume in the following 2-3 days regardless of how the athlete feels.
Important caveat: ACWR from session RPE is an internal-load metric. It does not distinguish between fatigue accumulated from heavy squat sessions versus long aerobic work. In multi-sport or mixed-modality programs, calculate separate ACWRs for lifting and conditioning components.
Pairing Session RPE with Velocity Data
Session RPE is powerful as a standalone metric, but it has one blind spot: it is retrospective. An athlete can underreport fatigue due to social desirability (not wanting to appear weak) or simply misremember the session intensity. Objective readiness markers provide independent validation.
The most practical objective marker for strength athletes is countermovement jump (CMJ) height measured before each training session. Research by Claudino et al. (2017) established that a CMJ drop of 3-5% from an athlete's rolling 7-day mean reliably signals accumulated neuromuscular fatigue requiring load modification.
A simple dual-metric decision matrix:
- Low session RPE (≤5) + CMJ within 3% of baseline: Athlete recovered. Proceed as programmed or consider modest overload.
- Moderate session RPE (6-7) + CMJ within 3%: Normal training stress. Execute next session as planned.
- High session RPE (≥8) + CMJ drop >3%: Accumulated fatigue confirmed by two independent sources. Reduce next session volume by 20-30%; avoid new maximal efforts.
- Discordant readings (e.g., low RPE but CMJ drop >5%): Investigate. Possible underreporting, illness onset, or nutritional deficit. Check sleep and dietary intake before proceeding.
Using PoinT GO's 800 Hz IMU to collect CMJ height before every session takes under 90 seconds and produces the objective anchor that prevents coaches from relying on athlete self-report alone.
Practical Decision Rules
Translating session RPE data into daily coaching decisions requires simple, pre-agreed rules that coaches and athletes can apply without waiting for spreadsheet analysis. The following protocol is designed for individual or small-group strength athletes:
- Daily readiness check (pre-session, 2 min): Three CMJ attempts on PoinT GO. Record highest jump height. Compare to 7-day rolling mean.
- Session log (during session): Record external load (sets × reps × kg) in whatever format you use. This is the anchor for session RPE interpretation.
- Session RPE collection (30 min post): Single question via app, text, or laminated card. Compute session load (RPE × duration minutes).
- Weekly review (Sunday evening): Sum 7-day session loads. Divide by 4-week average for ACWR. Flag if above 1.5. Adjust coming week's planned volume accordingly.
- Trend alerts: If session RPE trends above 7 for three consecutive sessions without a planned overreach block, reduce the next session's volume by 15-20% regardless of ACWR.
Coaches working with teams of 15+ athletes should automate steps 3 and 4 via a Google Forms-to-Sheets pipeline or a dedicated wellness app. The manual bottleneck in scaling session RPE is the calculation step, not the collection step.
Frequently asked questions
01How soon after a session should I collect session RPE?+
02Does session RPE work for strength training as well as cardio?+
03What is a safe week-to-week increase in session load (AU)?+
04How do I handle athletes who always rate 5 regardless of session intensity?+
05Can I use session RPE to monitor concurrent (strength + cardio) programs?+
06How does session RPE integrate with velocity-based training data from PoinT GO?+
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