Times and data
Fastest and slowest HYROX courses
Updated · Rivo
The fastest HYROX® course of the 2025/26 season was Warsaw: athletes who raced there and at other venues finished 5.5% faster there than on an average course, about 4:57 on a 90-minute finish. The slowest was Puebla, 11.9% slower, about 10:43 on the same finish.
Every venue draws its own field, so a venue’s median time says more about who raced than about the course. This ranking takes the field out: we compared the 44,243 athletes who raced at two or more venues in the season with themselves, 106,920 results in all, and measured what each venue did to their times. Below: the fastest and slowest courses, why the fastest field isn’t the fastest course, what makes a course fast or slow, the US venues, and all 93 venues ranked.
What is the fastest HYROX course?
Warsaw, at −5.5%, then Helsinki (−4.7%), Melbourne (−4.2%), London ExCeL (−3.9%) and Seoul (−3.6%). An athlete who would finish in 1:30:00 on an average course would have finished in about 1:25:03 in Warsaw and 1:26:46 in Seoul.
| Venue | Effect on finish | Results compared |
|---|---|---|
| Warsaw | −5.5% | 1,734 |
| Helsinki | −4.7% | 657 |
| Melbourne | −4.2% | 1,722 |
| London ExCeL | −3.9% | 3,928 |
| Seoul | −3.6% | 487 |
| Malaga | −3.4% | 1,254 |
| Dublin | −3.2% | 1,676 |
| Bologna | −3.1% | 1,410 |
| Stockholm | −3.1% | 1,375 |
| Heerenveen | −3.0% | 1,234 |
| Anaheim | +4.5% | 1,065 |
| Maastricht | +4.7% | 1,579 |
| Delhi | +4.8% | 254 |
| Johannesburg | +6.5% | 555 |
| St. Gallen | +6.8% | 1,909 |
| Guadalajara | +7.4% | 453 |
| Acapulco | +8.0% | 504 |
| Mexico City | +9.9% | 913 |
| Cancun | +11.9% | 578 |
| Puebla | +11.9% | 461 |
HYROX season 2025/26, Open and Pro singles who raced at two venues or more; 93 venues with at least 50 such results. Fastest 10 first, then the slowest 10.
The calendar is already taken out. Athletes get fitter as a season goes on, so without that step a course raced in spring would read faster than the same course raced in autumn; with it, the ten fastest courses come from both halves of the season. More on that below.
What is the slowest HYROX course?
Puebla, at +11.9%. The four slowest courses of the season were all in Mexico: Puebla, Cancun (+11.9%), Mexico City (+9.9%) and Acapulco (+8.0%). Then came Guadalajara (+7.4%), St. Gallen (+6.8%) and Johannesburg (+6.5%). On a 90-minute finish, Puebla cost the same athlete about 10:43.
Mexico City is the one slow course with a cause we can point to. It is the highest of the season’s venues, and thin air slows sustained effort. Puebla, Johannesburg and Guadalajara, the season’s other venues high above sea level, are all among the ten slowest as well. But altitude isn’t the whole story: Acapulco and Cancun, at sea level, were nearly as slow as Mexico City, and the data shows that they were slow, not why.
Why isn’t the fastest field the fastest course?
Because a venue’s median depends on who turns up. Bilbao’s Open men had the fastest median of the season’s 94 venues, 1:18:14, and its course ranked 14 of 93: a strong field on a fast course. Hong Kong’s Open men were number 78 by median, at 1:36:46, yet its course was −1.6%, number 23: a slower field on a quick course. Rome was the reverse, number 13 by median and number 56 by course. Bengaluru had the slowest Open men’s median of all, 1:56:26, on a course close to average (+2.2%).
Ranking venues by their median times ranks their fields. Ranking courses takes the same athletes in more than one place, which is what the 44,243 repeat racers give us.
What makes a HYROX course fast or slow?
Most courses sit within a few percent of average. When one doesn’t, four things show up in the data.
- The calendar, which we take out. Athletes get fitter as a season goes on. Before any adjustment, venues raced in 2026, the second half of the 2025/26 season, read 3.2% faster on average than those raced in 2025. Every effect on this page has that gap removed, on one assumption: the courses raced in each half of the season are, on average, no faster or slower than the other half’s. With 38 venues in the first half and 50 in the second, all on the same circuit, that is the safest assumption the data allows.
- Where the timing mats sit. The line between a run and the roxzone is wherever the mats are, so a layout can move time from one to the other. In Berlin the runs measured 16.7% faster for the same athletes and the roxzone 99.4% slower; the finish barely moved (0.0%). London ExCeL was similar: runs 18.1% faster, roxzone 67.4% slower, finish 3.9% faster. Compare whole finishes between venues, never a run split or the roxzone alone.
- How the stations are set up. The loads are the same everywhere: for Open men a 152 kg (335 lb) sled push and a 103 kg (227 lb) sled pull, sled included, and a 6 kg (13 lb) wall ball. Yet for the same athletes the sled push ran from 19.5% faster in Sydney to 39.4% slower in Puebla, and wall balls from 10.1% faster in Buenos Aires to 16.4% slower in Maastricht. Same athletes, same loads: the difference is the venue.
- Altitude, as in Mexico City above.
Which US HYROX course is fastest?
Boston, at +0.1%, an average course. Fastest first, the US courses of the 2025/26 season were Boston, Chicago (+0.3%), Miami (+0.7%), Atlanta (+1.2%), Dallas (+1.4%), Las Vegas (+2.0%), New York (+2.1%), Houston (+2.2%), Washington DC (+2.3%), Phoenix (+2.5%) and Anaheim (+4.5%). In Canada, Ottawa read +1.1%, Vancouver −1.4% and Toronto +4.1%.
No US course is fast. From Boston to Phoenix the whole spread is 2.4 points, about 2:10 on a 90-minute finish; only Anaheim stands apart, at 4:03 slower than average.
How do you use the ranking?
- Judge a result against its course. An athlete who would finish in 1:30:00 on an average course would finish in about 1:25:03 in Warsaw and 1:40:43 in Puebla, about 16 minutes apart with no change in fitness.
- Compare two of your own races course first. A slower time on a slow course can be the better race.
- Pick a course for a personal best from the top half of the list.
- Keep the effect in proportion. It is an average over many athletes; yours can differ, and the layout can change between editions.
Every HYROX venue ranked
The whole season, fastest course first, with what each course did to a 1:30:00 finish. For what counts as a good finish in your division and age group wherever you race, see what a good HYROX time is; if you are new to the race, what HYROX is and how it works covers the format.
| Venue | Effect | On 1:30:00 | Results |
|---|---|---|---|
| 1. Warsaw | −5.5% | −4:57 | 1,734 |
| 2. Helsinki | −4.7% | −4:14 | 657 |
| 3. Melbourne | −4.2% | −3:47 | 1,722 |
| 4. London ExCeL | −3.9% | −3:31 | 3,928 |
| 5. Seoul | −3.6% | −3:14 | 487 |
| 6. Malaga | −3.4% | −3:04 | 1,254 |
| 7. Dublin | −3.2% | −2:53 | 1,676 |
| 8. Bologna | −3.1% | −2:47 | 1,410 |
| 9. Stockholm | −3.1% | −2:47 | 1,375 |
| 10. Heerenveen | −3.0% | −2:42 | 1,234 |
| 11. Shanghai | −3.0% | −2:42 | 947 |
| 12. Barcelona | −2.9% | −2:37 | 1,552 |
| 13. Incheon | −2.8% | −2:31 | 636 |
| 14. Bilbao | −2.6% | −2:20 | 754 |
| 15. Buenos Aires | −2.6% | −2:20 | 152 |
| 16. Sydney | −2.5% | −2:15 | 1,044 |
| 17. Riga | −2.3% | −2:04 | 611 |
| 18. London Olympia | −2.2% | −1:59 | 2,222 |
| 19. Singapore Expo | −2.2% | −1:59 | 887 |
| 20. Mechelen | −2.1% | −1:53 | 2,163 |
| 21. Poznan | −2.0% | −1:48 | 1,198 |
| 22. Verona | −1.9% | −1:43 | 1,351 |
| 23. Hong Kong | −1.6% | −1:26 | 756 |
| 24. Brisbane | −1.4% | −1:16 | 860 |
| 25. Katowice | −1.4% | −1:16 | 758 |
| 26. Taipei | −1.4% | −1:16 | 469 |
| 27. Vancouver | −1.4% | −1:16 | 573 |
| 28. Bordeaux | −1.3% | −1:10 | 1,685 |
| 29. Shenzhen | −1.2% | −1:05 | 610 |
| 30. Istanbul | −1.0% | −0:54 | 398 |
| 31. Paris GP | −1.0% | −0:54 | 1,458 |
| 32. Gent | −0.9% | −0:49 | 1,328 |
| 33. Perth | −0.9% | −0:49 | 673 |
| 34. Toulouse | −0.9% | −0:49 | 1,109 |
| 35. Birmingham | −0.8% | −0:43 | 3,092 |
| 36. Lyon | −0.8% | −0:43 | 1,475 |
| 37. Rotterdam | −0.7% | −0:38 | 1,499 |
| 38. Beijing | −0.5% | −0:27 | 888 |
| 39. Gdansk | −0.5% | −0:27 | 705 |
| 40. Hamburg | −0.4% | −0:22 | 1,525 |
| 41. Amsterdam | −0.3% | −0:16 | 2,246 |
| 42. Frankfurt | −0.3% | −0:16 | 1,490 |
| 43. Osaka | −0.3% | −0:16 | 617 |
| 44. Cologne | −0.2% | −0:11 | 1,218 |
| 45. Glasgow | −0.2% | −0:11 | 1,882 |
| 46. Lisboa | −0.2% | −0:11 | 801 |
| 47. Bangkok | −0.1% | −0:05 | 1,029 |
| 48. Copenhagen | −0.1% | −0:05 | 1,030 |
| 49. Nice | −0.1% | −0:05 | 1,488 |
| 50. Berlin | 0.0% | 0:00 | 3,165 |
| 51. Boston | +0.1% | +0:05 | 1,290 |
| 52. Oslo | +0.1% | +0:05 | 1,120 |
| 53. Stuttgart | +0.1% | +0:05 | 1,199 |
| 54. Chicago | +0.3% | +0:16 | 1,051 |
| 55. Geneva | +0.4% | +0:22 | 822 |
| 56. Rome | +0.6% | +0:32 | 1,755 |
| 57. Miami | +0.7% | +0:38 | 1,345 |
| 58. Madrid | +0.8% | +0:43 | 1,762 |
| 59. Rimini | +0.9% | +0:49 | 1,439 |
| 60. Turin | +1.0% | +0:54 | 1,626 |
| 61. Ottawa | +1.1% | +0:59 | 930 |
| 62. Atlanta | +1.2% | +1:05 | 588 |
| 63. Valencia | +1.3% | +1:10 | 1,069 |
| 64. Dallas | +1.4% | +1:16 | 860 |
| 65. Fortaleza | +1.7% | +1:32 | 214 |
| 66. Rio de Janeiro | +1.7% | +1:32 | 359 |
| 67. Las Vegas | +2.0% | +1:48 | 1,496 |
| 68. New York | +2.1% | +1:53 | 2,734 |
| 69. Utrecht | +2.1% | +1:53 | 1,132 |
| 70. Bengaluru | +2.2% | +1:59 | 368 |
| 71. Houston | +2.2% | +1:59 | 1,200 |
| 72. Manchester | +2.2% | +1:59 | 2,178 |
| 73. Mumbai | +2.2% | +1:59 | 375 |
| 74. Wuhan | +2.2% | +1:59 | 285 |
| 75. Cape Town | +2.3% | +2:04 | 593 |
| 76. Washington DC | +2.3% | +2:04 | 663 |
| 77. Singapore | +2.4% | +2:10 | 758 |
| 78. Phoenix | +2.5% | +2:15 | 1,302 |
| 79. Paris | +3.3% | +2:58 | 2,001 |
| 80. Toronto | +4.1% | +3:41 | 1,046 |
| 81. Monterrey | +4.2% | +3:47 | 388 |
| 82. Auckland | +4.3% | +3:52 | 474 |
| 83. São Paulo | +4.4% | +3:58 | 406 |
| 84. Anaheim | +4.5% | +4:03 | 1,065 |
| 85. Maastricht | +4.7% | +4:14 | 1,579 |
| 86. Delhi | +4.8% | +4:19 | 254 |
| 87. Johannesburg | +6.5% | +5:51 | 555 |
| 88. St. Gallen | +6.8% | +6:07 | 1,909 |
| 89. Guadalajara | +7.4% | +6:40 | 453 |
| 90. Acapulco | +8.0% | +7:12 | 504 |
| 91. Mexico City | +9.9% | +8:55 | 913 |
| 92. Cancun | +11.9% | +10:43 | 578 |
| 93. Puebla | +11.9% | +10:43 | 461 |
HYROX season 2025/26: 44,243 Open and Pro singles who raced at two venues or more, 106,920 results; 93 venues with at least 50 such results. Effect: on the finish, against an average course; a minus means faster. On 1:30:00: the same effect on a 90-minute finish. Results: results from repeat racers at that venue.
How these numbers were made
- Source: 702,095 public HYROX results from 98 venues in the 2025/26 season, read through pyrox-client, an independent open-source client, and loaded on 2 September 2026. Only results with all 16 splits and a finish between 40 and 300 minutes count, the same rows Rivo ranks athletes against.
- Who is compared: Open and Pro singles who raced at two venues or more in the season, 44,243 athletes and 106,920 results. An athlete’s Open and Pro races are never paired. Doubles and relay teams are not used.
- The model, in plain words: every athlete gets their own level and every venue its own effect, fitted together on the logarithm of finish time. A venue’s effect is then what it did to the athletes who raced there, against their own finishes elsewhere, measured from an average course weighted by results. The same fit gives the effect on the runs, the stations, the roxzone, the sled push, the sled pull and wall balls.
- Who is ranked: a venue needs at least 50 results from repeat racers, and 93 venues have them. Of the season’s other venues, Cardiff has too few, and championship and invitational races are left out.
- Limits: the calendar effect described above; a small venue, such as Buenos Aires with 152 results compared, is less certain than a large one; and a ranking describes each course as it was raced that season.
- Privacy: athletes are linked inside the database by a one-way key that is never stored or shown. Nothing here names anyone or publishes a single result.