Matthew Thwaites, an Austin, Texas-based director of analytics at Open Loot Studios, brings a structured and performance-focused perspective to endurance sports. With a background that spans data science, military leadership, and competitive running, he applies analytical thinking to training and race strategy. Matthew Thwaites has led teams of engineers and analysts in building machine learning models and performance optimization systems, while also maintaining a strong personal commitment to running, including completing major races such as the Philadelphia Marathon. His experience as a varsity athlete at Yale and his disciplined approach to preparation inform his views on selecting races that align with a runner’s fitness and goals, particularly when aiming for peak performance.
When a Race Is a Good Fit for a Fast Time
With destination races, major-city events, and local races all competing for attention, runners often have several appealing choices in a given time frame. Here, a fast time means a result that matches a runner’s current fitness, often a personal best or something close to it under favorable conditions. For those hoping to achieve such a result, this makes race selection an important part of performance planning.
Runners often choose races for reasons that have little to do with speed. A race may be close to home, tied to a weekend trip, or popular enough to feel special on its own. But when the goal is to run fast, the better question is whether the event gives a runner a fair chance to hold a steady effort over the full distance.
Runners should check the course early, because route design can shape pace from the first mile onward. Hills, frequent turns, uneven footing, and narrow or crowded sections can interrupt rhythm and force adjustments. A race may be scenic and well organized, yet still be a poor speed choice if the route makes it hard to settle into a quick pace.
Race-day conditions challenge runners in a different way. Heat and humidity can make the same pace feel harder and slow a runner earlier than expected. Many runners also do better when nearby runners move at a similar speed, as that helps them settle into a rhythm and avoid early pacing mistakes.
Travel creates another risk before the race starts. Flights, hotel stays, altered meal timing, and unfamiliar surroundings can reduce sleep and unsettle pre-race habits. In that situation, the problem is not the course itself, but arriving at the start line less rested and physically prepared than the training plan intended.
Runners should review the race morning separately. Transportation timing, security flow, bag procedures, corral access, and on-course support all affect how calmly a runner can get through the early part of the day. Even a strong event can cost time and focus if the arrival feels rushed or the start becomes more stressful than expected.
Even when an event runs smoothly, it still may not match the runner. Some runners handle rolling hills well and enjoy the energy of a large-crowd, while others perform better on flatter courses or with fewer fans. That is why a race many runners praise may still be the wrong choice for someone whose strengths show up under different conditions.
Runners should weigh training timing just as carefully as a course’s profile or race atmosphere. A race is more likely to produce a fast result when it falls after a strong training block and enough recovery time, not in the middle of fatigue or before the work is finished. A runner choosing between a hilly destination half marathon and a flatter local race may decide the local event is the better speed opportunity if it fits current training and recovery better.
That approach turns race choice into part of honest season planning. Some events make sense as serious attempts at a best result, while others are better for travel, atmosphere, or the experience of running a well-known course. Making that distinction early helps runners match each race to its real purpose instead of forcing the same goal onto every event.
Runners protect good training when they place it in the right event. A well-chosen race does not guarantee a fast result, but it can make the effort more representative of the fitness a runner has actually built. Choosing that kind of race indicates sound race judgment.
About Matthew Thwaites
Matthew Thwaites is the director of analytics at Open Loot Studios in Austin, Texas, where he leads a team developing data pipelines and machine learning models to improve game performance and user outcomes. A former marketing analytics manager at Big Time Studios, he has experience in performance advertising and influencer strategy. He is a Yale graduate, former varsity runner, and US Army veteran who served as an infantry officer and contributed to international peace negotiations.
