RaceRanger puts figures to drafting in the 2026 Spanish MD Championship
FETRI has published RaceRanger data from the 2026 Spanish Middle Distance Triathlon Championship to analyze drafting trends and move towards more transparent races.
La Spanish Federation of Triathlon works with race ranger so that triathletes can see real-time information about drafting zones during the competition.
The aim is not to single out specific athletes, but to provide data that helps to understand how groups behave in races and how draft control can evolve in non-drafting events.
What is RaceRanger and why does it matter in middle-distance racing?
race ranger It is a technological system that allows measuring the distance between bicycles and visually warning triathletes when they enter a prohibited proximity zone.
In middle- and long-distance races, where drafting is prohibited, this information can be key to reducing gray areas. Until now, many decisions depended on direct observation by race officials on motorcycles. With systems like RaceRanger, the race is also starting to leave a data trail.
Technology does not replace the rules or the officials, but it can help athletes better understand when they are too close to another competitor and for how long they remain in that situation.
The data published in Pamplona
The test analyzed corresponds to the Spanish Middle Distance Triathlon Championship 2026, held on May 23th in the surroundings of Spain T100 Pamplona Navarra.
El RaceRanger report published by FETRI It includes several indicators: accumulated time in a prohibited zone, number of entries and exits in that zone, athlete who was followed the most, and longest individual follow-up.
Overall, the report allows us to see not only how much time was spent in an irregular situation, but also whether those episodes were isolated, repeated, or concentrated in certain group dynamics.
A data-driven X-ray of drafting
The most striking figure is the total volume recorded. According to the aggregated data in the report, the sum of the time detected in a prohibited area was 5 hours, 36 minutes and 24 seconds among the athletes included in the registry.
Also counted 2.087 entrances and exits of the proximity zone, which RaceRanger calls YOYOsThis indicator is especially interesting because it measures not only the total time, but also the frequency with which a triathlete enters and exits a potential drafting situation.
Seen in this light, the analysis makes one thing clear: drafting isn't just about riding close together for extended periods. It can also manifest as constant, small adjustments within groups, overtaking maneuvers, navigating congested areas, or moments when several riders are riding within very narrow margins.
Summary of RaceRanger data in Pamplona
| Indicator | Data recorded |
|---|---|
| Athletes included in the report | 109 |
| Athletes with recorded times in prohibited areas | 101 |
| Athletes without a recorded time | 8 |
| Total time accumulated in restricted area | 5:36:24 |
| Proximity zone entrances and exits (YOYOs) | 2.087 |
| Average time per athlete with record | 3:20 |
| Median time per athlete with record | 1:38 |
How is the detected time distributed?
| Time range in restricted area | Athletes | accumulated time | YOYOs |
|---|---|---|---|
| More than 10 minutes | 7 | 1:52:15 | 592 |
| Between 5 and 10 minutes | 15 | 1:46:01 | 490 |
| Between 1 and 5 minutes | 41 | 1:41:13 | 800 |
| less than 1 minute | 38 | 0:16:55 | 203 |
| No time recorded | 8 | 0:00:00 | 2 |
The highest readings account for a large portion of the time.
Another relevant point is the concentration of the data. Records with the longest accumulated time account for a significant portion of the total detected, suggesting that the problem is not evenly distributed among all participants.
The 10 records with the most accumulated time concentrate more than 40% of total time detected, while the first 20 exceed 60%. This reading reinforces the idea that data can help identify specific patterns, not just isolated situations.
Concentration of recorded time
| Group analyzed | accumulated time | Percentage of total |
|---|---|---|
| 5 records with the most time | 1:31:16 | 27,1% |
| 10 records with the most time | 2:18:09 | 41,1% |
| 20 records with the most time | 3:27:57 | 61,8% |
| 30 records with the most time | 4:13:55 | 75,5% |
This information could be useful for the future. If the data allows for the identification of race patterns, sections of the course, or repeated behaviors, organizers will be able to work with greater precision: from the distribution of starting positions to the placement of judges at specific points or prior communication with athletes.
For triathletes, reading the course is also practical. In a non-drafting race, it's not enough to simply "try to leave space." You have to know how to manage the distance, anticipate overtakes, and avoid lingering in risky areas.
More transparency, less subjective interpretation
The publication of this data opens up an interesting avenue for Spanish triathlon. It's not just about imposing more sanctions, but about improving education and making a part of the competition, which often generates debate, more visible.
Drafting in middle-distance triathlons has always been one of the most sensitive issues in the sport. It affects performance, competitive equality, and the perception of fairness among athletes. Therefore, any tool that helps measure it more clearly can have a direct impact on how athletes compete.
RaceRanger provides a layer of information that was difficult to obtain until recently. If its use becomes widespread, the future of non-drafting races could move towards races with more data, greater transparency, and less room for interpretation.
A step towards fairer racing
The initiative FETRI y race ranger It doesn't eliminate the drafting problem on its own, but it does change the starting point. Where before there were just feelings, now there's data.
For middle-distance triathlon, that could be one of the keys in the coming years: not only better control, but also helping athletes themselves better understand when they are entering a zone that can disrupt the equality of the race.
Technology alone will not make sport fairer, but it can give judges, organizers, and triathletes a more objective tool to work in that direction.
