Simon Yates won the 2025 Giro d'Italia at age 32 without winning a single stage. He became the first rider since Alberto Contador in 2015 to claim the maglia rosa without a stage victory. No dramatic solo attacks. No mountain-top celebrations. Just three weeks of relentless, controlled consistency.
For amateur cyclists, Yates' victory is the most instructive Grand Tour result in years — not because of what he did, but because of what he did not do. He did not chase glory. He did not gamble. He showed up every single day and delivered a performance that was slightly better than good enough.
That is exactly how the best amateur training works too.
The Race: How Yates Won by Not Winning
Yates entered the 2025 Giro as a contender but not the favorite. His move from GreenEdge-Jayco to Visma-Lease a Bike had raised eyebrows — he was 32, had a history of Grand Tour collapses (most notably blowing a large lead in the 2018 Giro), and was joining a team built around different leaders.
What Visma provided was precision. Their altitude camp protocols, structured periodization, and data-driven preparation had already produced results for Vingegaard and Kuss. Yates adopted their system, and it showed.
He raced conservatively in the first week, staying within touching distance of the leaders without burning matches. On the hardest mountain stages, he never attacked — he simply followed the strongest riders at a pace he could sustain, letting others crack. When his rivals surged, he held his tempo. When they faded, he did not.
The decisive stage was the Finestre stage, where Yates overcame an 81-second deficit to take the overall lead. Not through an explosive attack, but through steady climbing at a pace that his rivals could not match over the full distance. While others went deep into the red early and paid for it later, Yates rode his own race.
Key takeaway
Yates won the Giro by producing consistent, sustainable effort across 21 stages. He never had the single best day — he had the best three weeks. That is the power of consistency over heroics.
The Training Principle: Consistency Compounds
In training science, consistency is not just a nice-to-have. It is the single most important predictor of long-term improvement. Research on training adherence consistently shows that athletes who complete 90% of their planned workouts at moderate quality improve more than those who complete 60% at maximum effort.
The reason is biological. Adaptation requires repeated stimulus over time. A single heroic workout provides a large spike of stress, but if it is followed by three days of recovery (or worse, three days off because you are too wrecked to train), the net stimulus over the week is actually lower than if you had done four moderate sessions.
Consider two hypothetical training weeks with the same target of 400 TSS:
The Hero Pattern
Monday: Rest (0 TSS)
Tuesday: Hero ride (180 TSS)
Wednesday: Too tired, skip (0 TSS)
Thursday: Easy spin (30 TSS)
Friday: Hero ride (170 TSS)
Saturday: Legs destroyed (0 TSS)
Sunday: Easy ride (40 TSS)
Total: 420 TSS in 4 sessions
The Consistent Pattern
Monday: Rest (0 TSS)
Tuesday: Intervals (85 TSS)
Wednesday: Zone 2 (65 TSS)
Thursday: Sweet spot (80 TSS)
Friday: Zone 2 (60 TSS)
Saturday: Long ride (100 TSS)
Sunday: Recovery (20 TSS)
Total: 410 TSS in 6 sessions
Both weeks total roughly 400 TSS. But the consistent pattern distributes the stimulus across six sessions with proper recovery between them. The hero pattern packs the same load into two crushing sessions that require extended recovery, leaving less time for productive training.
Over 12 weeks, the consistent rider accumulates more total training sessions, more total time in productive training zones, and more physiological adaptation events. The hero rider accumulates more impressive single efforts — and more fatigue, more missed sessions, and a higher risk of injury or illness.
How CTL Rewards Consistency
The math of Chronic Training Load (CTL) directly rewards consistent training over sporadic heroics. CTL is a 42-day exponentially weighted moving average of daily TSS. Its mathematical structure means that consistent daily training produces a higher CTL than the same total TSS concentrated into fewer, larger sessions.
Here is why. When you do a 180 TSS ride followed by two rest days, CTL ticks up on the ride day but immediately starts decaying on the rest days. The net gain over three days is modest. When you do three 60 TSS rides on consecutive days, CTL receives three consecutive upward nudges with minimal decay between them. The net gain is larger despite the same total load.
This is not an argument for training every day without rest. Rest is essential — adaptation happens during recovery, not during the workout. The point is that five structured sessions of moderate stress across a week build more fitness (as measured by CTL) than two massive sessions followed by five days of recovery.
Key takeaway
CTL's exponential moving average mathematically rewards regular, distributed training over concentrated heroic efforts. Consistency literally builds more fitness per unit of training stress.
The Danger of Hero Workouts
The hero workout is seductive. You feel incredible during it. Your power numbers look amazing on Strava. Your training partners are impressed. But the cost is hidden in what happens afterward.
Extended Recovery Requirements
A workout at 95–100% of your capacity requires significantly more recovery than one at 80%. The relationship is not linear — it is exponential. Going from 80 TSS to 100 TSS does not require 25% more recovery. It may require 50–100% more. The deeper you dig, the longer you need to recover, and the fewer total training sessions you can fit into a week.
Increased Injury and Illness Risk
Research on acute-to-chronic workload ratios in team sports has shown that spikes in training load — where a single week's load far exceeds the rolling average — are the strongest predictor of injury. The same principle applies to endurance sport. Two hero sessions in a week can spike your acute load well above your chronic baseline, putting connective tissue and immune function under stress.
The Motivation Trap
Hero workouts create a boom-bust motivation cycle. The high of a great session is followed by the low of enforced rest and the guilt of missed workouts. Over time, this pattern erodes the steady motivation that sustains long-term training. Consistency is boring — and boring is effective.
Visma's Consistency Machine
Yates' Giro victory was not an individual triumph. It was a product of Visma's systematic approach to performance. The team's preparation methods — structured altitude camps, controlled training loads, data-driven pacing — all optimize for consistency over peak moments.
Their altitude camps follow precise protocols: arrive at altitude three weeks before the target event, maintain training load at 85–90% of sea-level intensity for the first week to allow acclimatization, then gradually increase. Every session is controlled. There are no hero days at altitude — the hypoxic environment already provides additional stress, so training volume and intensity must be more conservative.
During the Giro itself, Yates' pacing reflected this philosophy. Team Visma used power data to set target wattages for every major climb based on what Yates could sustain for the full stage, not just the decisive climb. When rivals attacked above that target, Yates held his power. When they inevitably faded, he did not.
This is the professional application of the same principle that applies to your Tuesday evening interval session: ride the effort you can absorb and recover from, not the effort that looks impressive on paper.
Applying the Consistency Principle to Your Training
Set a Realistic Weekly TSS Target
Based on your current weekly TSS target, distribute the load across 5–6 days with genuine rest on 1–2 days. Avoid concentrating more than 35–40% of your weekly TSS into a single session. If your target is 500 TSS/week, no single ride should exceed 175–200 TSS unless it is your dedicated long ride.
Follow the 80/20 Rule
Keep approximately 80% of your training time at low intensity (zone 1–2) and 20% at high intensity (zone 4+). This polarized distribution has been shown to produce superior adaptations compared to spending large amounts of time at moderate intensity. It also makes it much easier to train consistently because the easy days are genuinely easy — you recover from them rather than accumulating fatigue.
Build CTL Steadily
Aim for a CTL ramp rate of 3–5 TSS/week during build phases. This means your weekly TSS average should increase by only 21–35 points per week. It feels slow. It works. Attempting to ramp faster leads to breakdown, illness, or injury — which sets you further back than a slow ramp would.
Never Miss Two Days in a Row
Life happens. You will miss workouts. The rule of consistency is not "never miss a day" — it is "never miss two days in a row." A single missed workout has minimal impact on CTL or fitness. Two consecutive missed days starts to create a pattern. Three becomes a habit.
If you cannot do the full planned session, do a shortened version. Thirty minutes of easy spinning is better than nothing because it maintains the habit of training and provides a small but real stimulus.
Key takeaway
Simon Yates won a Grand Tour by showing up every day and delivering 90% of his best. That is exactly how amateur training works. Hit 90% of your planned sessions at sustainable intensity, and you will beat the hero who smashes 60% and skips the rest.
The Consistency Scoreboard
If you want a number to chase instead of KOMs or peak wattages, track your training consistency rate. Take the number of planned sessions you completed in a month and divide by the number you scheduled. If you completed 22 out of 24 planned sessions, your consistency rate is 92%. That number predicts your improvement trajectory better than any single power output.
Yates won the Giro at 32 by being consistently present at the front of the race for 21 stages. He never had a day that made headlines. He had 21 days that never needed a rescue. That is the model to follow.
Track your consistency and CTL
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