Preserve observed progression steps in exercise forecasts

templates/partials/exercise_history.html

@@ -45,7 +45,7 @@
             </div>
             <p>At the current load: {{ forecast.profile.block_sessions }} sessions, from {{ forecast.profile.block_start_reps }} to a best of {{ forecast.profile.block_best_reps }} reps. {{ forecast.profile.block_stalls }} sessions did not improve that rep best.</p>
             {% if forecast.profile.increment and forecast.profile.ceiling_evidence >= 2 %}
-            <p>Your recent load increases usually follow {{ forecast.profile.ceiling }} reps, using {{ '%g'|format(forecast.profile.increment) }} kg steps. The model learns repeats, rep gains, difficult sessions and rep resets from this exercise.</p>
+            <p>Your recent load increases usually follow {{ forecast.profile.ceiling }} reps. The most common step is {{ '%g'|format(forecast.profile.increment) }} kg; forecasts use the recorded mix of steps. The model learns repeats, rep gains, difficult sessions and rep resets from this exercise.</p>
             {% else %}<p>There is not enough repeated loading history to infer a reliable rep threshold. Repeated sets remain a possible outcome.</p>{% endif %}
             {% if forecast.validation %}
             {% set validation = forecast.validation.transitions %}

templates/partials/sparkline.html

@@ -110,7 +110,7 @@ M{% for value, position in lower_points %}{{ (((position * vb_width) + margin) |
         </div>
         <div class="forecast-caption forecast-assumption">
             {% if forecast.profile.increment and forecast.profile.ceiling_evidence >= 2 %}
-            Your pattern: build toward {{ forecast.profile.ceiling }} reps, then +{{ '%g'|format(forecast.profile.increment) }} kg.
+            Your pattern: build toward {{ forecast.profile.ceiling }} reps; most common increase +{{ '%g'|format(forecast.profile.increment) }} kg.
             {% else %}
             Learning from your recent repeats, rep changes and load changes.
             {% endif %}