Graphical representation of the points scored by MTB riders at each age. Riders score most points at 24 years old.
| Age | Total points | Riders | Relative (%) |
|---|---|---|---|
| 17 | 1.835.839 | 556 | 29.84 |
| 18 | 4.454.844 | 712 | 72.41 |
| 19 | 2.740.437 | 652 | 44.55 |
| 20 | 4.436.614 | 661 | 72.12 |
| 21 | 5.462.246 | 622 | 88.79 |
| 22 | 6.097.557 | 586 | 99.12 |
| 23 | 6.083.741 | 525 | 98.89 |
| 24 | 6.151.976 | 490 | 100 |
| 25 | 6.123.555 | 451 | 99.54 |
| 26 | 5.756.229 | 418 | 93.57 |
| 27 | 5.859.994 | 385 | 95.25 |
| 28 | 5.811.046 | 362 | 94.46 |
| 29 | 5.184.084 | 335 | 84.27 |
| 30 | 4.906.104 | 303 | 79.75 |
| 31 | 4.606.086 | 289 | 74.87 |
| 32 | 4.073.724 | 259 | 66.22 |
| 33 | 3.319.478 | 232 | 53.96 |
| 34 | 2.624.561 | 195 | 42.66 |
| 35 | 2.157.853 | 182 | 35.08 |
| 36 | 1.753.676 | 149 | 28.51 |
| 37 | 1.406.699 | 135 | 22.87 |
| 38 | 1.141.687 | 130 | 18.56 |
| 39 | 839.747 | 90 | 13.65 |
| 40 | 552.408 | 71 | 8.98 |
| 41 | 434.845 | 55 | 7.07 |
| 42 | 375.200 | 48 | 6.1 |
| 43 | 246.068 | 43 | 4 |
MTBData rankings dataset covers 2021 onwards. Riders without a known birth date are excluded. Ages with fewer than 20 riders are trimmed from the chart edges.
This chart shows the total UCI points scored by mountain bike riders at each age. By aggregating ranking points across thousands of riders and seasons, the curve reveals the age window in which professional MTB riders are most competitive — usually between the late twenties and early thirties — and how performance ramps up and tapers off on either side.
The y-axis is normalised so that the peak age equals 100; every other age is expressed relative to that peak. The accompanying table shows the absolute totals: total points, number of unique riders contributing at that age, and the relative figure used to draw the curve. Filtering by discipline (XCO, Downhill or Marathon) lets you see how the sweet-spot age shifts: downhill riders, for instance, tend to peak slightly later than cross-country specialists.
The points-per-age curve is one of the most reliable proxies for a rider's competitive prime. Teams use age-curve data to make signing decisions; riders use it to plan their careers; fans use it to spot emerging talents who are still climbing the curve and veterans who may be on the way down. The shape also tells a story about how each discipline rewards experience versus raw athleticism.