How SprintSimulator Works
SprintSimulator shows how famous athletes — at their prime — would perform in a 100m sprint. We do this by exploring the factors that influence sprint performance: technique, physical attributes, sport-specific explosiveness, and real-world data.
By grounding our figures in real-world data — FIFA, NBA, Madden ratings, Olympic records — we arrive at sprint times that are consistent and realistic. Our goal is to keep all values as reflective of real-world performance as possible.
Getting started
- 01
Select your contestants
Build a field of up to 5 contestants from athletes, animals, and custom runners. Pick any combination you like — Usain Bolt, a cheetah, Messi, yourself.
- 02
Build a custom runner
Ever wondered how you'd do in a 100m race alongside world-class athletes? Enter your physical profile and we'll estimate your sprint time based on broad averages for your age and build.
- 03
Start the race
Once you've selected your contestants, click "Proceed to Simulation". Use the controls to start, pause, restart, or fast-forward to the finish.
The estimation challenge
Estimating an athlete's performance in a 100m race is genuinely hard. The skills required for basketball, soccer, or football — agility, strategy, team dynamics — don't map directly onto the explosiveness and technique a pure sprint demands.
Factors like playing surfaces, team dynamics, and equipment differences across sports further complicate the picture. Estimating a 100m outcome requires a deeper look at an athlete's sprinting physique, specialized training, and raw speed potential. It's a puzzle where the pieces don't always align — which makes it fascinating.
How we estimate
We combine traditional sprinting analysis with data-driven methodologies. By leveraging existing sports data — recorded speeds from FIFA, Madden, NBA, and the 40-yard dash for NFL players — we build a foundation for estimation.
We then adjust these datasets for the specific demands of a 100m sprint, producing and calibrating a predictive model that offers meaningful insights into each athlete's potential sprint time. Constant fine-tuning keeps our estimates as accurate as possible.
Our data sources
For sprint athletes, we use publicly available Olympic data and world records. For sport athletes, we reference performance ratings from major EA titles — Madden, FIFA, NBA 2K — which themselves are grounded in real-world physical measurements and scouting data.
Custom contestants are estimated using algorithms based on broad averages for age, height, weight, and fitness level. All results are predictions and should be treated as educational estimates rather than definitive times.
Summary
SprintSimulator brings the thrill of head-to-head matchups — Bolt vs a cheetah, Messi vs Ronaldo, Mbappe vs Haaland — to life through imagination and data. Whether you're a sports fan, a sprinting enthusiast, or just curious about the limits of human and animal speed, our platform lets you be the judge.
We're actively working on more immersive and realistic simulations. Got ideas or feedback? We'd love to hear from you.
Got questions or feedback?