State of HYROX 2026: what 630,757 race results tell us

Finding 1

Growth in finishers

HYROX finishers grew 276.5% from Season 7 to Season 8 (90,464 to 340,590), but 62.5% more events did most of the lifting: average finishers per event rose only 131.7%.

Season 8 (data through August 2026) has 104 events with results against 64 in Season 7. At the 54 venues that hosted a race in both seasons, finishers rose 205.0% (77,190 to 235,463), a better guide to organic demand than the headline total.

Method: Count of valid finisher rows (athletes and teams) per HYROX season and per calendar-year slice of a season. An event is one entry in the results archive (one city or venue and date). Like-for-like compares venues with results in both seasons. Season 8 is still running, so its total will rise. Link to this finding

Finding 2

Women's share of single-athlete finishers

Women made up 34.8% of single-athlete finishers in Season 8, up from 30.9% in Season 7, and 36.3% in 2026 races so far.

67,845 women and 127,193 men finished a singles race (Open or Pro) in Season 8. The share has risen in every successive season slice, but women remain roughly one finisher in three.

Method: Share = finishers in Open Women and Pro Women divided by finishers in all four single-athlete divisions (Open and Pro, Men and Women). Doubles and Pro Doubles are excluded because team rows carry no gender field. Link to this finding

Finding 3

Median finish time by division

The median HYROX finish is 1:25:55 for Open Men, 1:34:50 for Open Women, 1:19:09 for Pro Men and 1:25:18 for Pro Women.

Half of all finishers in each division are faster than these times. The middle 80% of Open Men finish between 1:09:15 and 1:55:03; the equivalent range for Open Women is 1:17:19 to 2:05:55. Doubles teams have a median of 1:23:13 and Pro Doubles 1:13:25.

Method: Median, 10th and 90th percentile of official finish time (linear-interpolated percentiles) across all valid results from Season 7 to August 2026, per division. Teams are one row per pairing. Lower is faster. Link to this finding

Finding 4

How median times moved across seasons

Open Men's median finish rose from 1:24:23 in 2024 to 1:25:33 in 2026 (1.2 minutes, 1.4%), while Open Women's median rose by 4.6 minutes.

Pro Men moved from 1:19:18 to 1:19:24 and Pro Women from 1:24:51 to 1:25:41. The path is not a straight line: Open Men's 2025 (S8) median of 1:23:35 was 1.4 minutes slower than the 2025 (S7) median of 1:22:12, which suggests the mix of events and first-time racers in a given half-year matters as much as fitness.

Method: Median finish time per division in each season slice (calendar year within a HYROX season: S7 = 2024/25, S8 = 2025/26; 2026 runs to August). Each slice mixes different cities and fields, so the series shows the direction of travel, not a controlled before-and-after comparison. Link to this finding

Finding 5

How many people break 60, 75 and 90 minutes

Only 0.7% of Open Men finish under 60 minutes, while 59.6% break 90 minutes; for Open Women the sub-90 share is 38.5%.

Sub-75 is reached by 22.3% of Open Men and 6.6% of Open Women. Under two hours is 92.4% of Open Men and 86.4% of Open Women.

Method: Share of valid Open Men (188,637) and Open Women (101,803) results with an official finish time strictly under each threshold. Results above 4 hours are excluded as implausible. Link to this finding

Finding 6

Pro versus Open gap

Pro finishers are 6.8 minutes (Men) and 9.5 minutes (Women) faster at the median than Open finishers, even though Pro races with heavier loads, and 33% of Open Men still beat the Pro Men median.

33% of Pro Men finish slower than the Open Men median, so the divisions overlap heavily. Pro is also growing: it was 16.7% of singles finishers in Season 7 and 20.3% in Season 8, and Pro Women finishers went from 1,510 in 2024 (S7) to 8,962 in 2026 (S8).

Method: Median finish time per division from the full cleaned dataset. Pro uses heavier sled, farmers carry, lunge and wall-ball loads than Open; athletes choose their division, so the gap reflects who enters Pro as well as the course. Link to this finding

Finding 7

Doubles versus singles

Doubles teams finish a median 2.7 minutes ahead of Open Men and 11.6 minutes ahead of Open Women, and team entries make up 43.8% of all HYROX results.

Team entries (Doubles plus Pro Doubles) share by season slice: 2024 (S7) 20.4%, 2025 (S7) 23.1%, 2025 (S8) 19.8%, 2026 (S8) 49.3%. Doubles rows carry no gender field, so the comparison is against Open Men and Open Women separately.

Method: Median team finish time in the Doubles division against the median Open Men and Open Women singles finish. A team row is one pairing with one shared finish time. Team share = Doubles and Pro Doubles rows divided by all valid rows. Link to this finding

Finding 8

Where the time goes: running, workout stations and the Roxzone

Running is about half of a HYROX race: 49.0% of the top-10% Open Men finish time and 48.2% at the median, versus 42.9% and 43.6% for the eight workout stations.

Transitions (finish time minus running minus workout stations, the Roxzone) are 7.0% of the time of top-10% Open Men and 7.9% at the median. The mix shifts by no more than 1.9 percentage points between fast and median athletes in any division: faster athletes are faster at everything, in nearly the same proportions.

Method: For each division, finishers with valid run and workout splits (161,365 across the four singles divisions) are ranked by finish time. "Top 10%" is finish time at or below the division's 10th percentile; "median" is the 45th to 55th percentile band. Shares are medians of each component divided by the median finish time of the same group. Transitions are derived (finish minus run minus workout) and rows above 20 minutes are excluded as inconsistent. Link to this finding

Finding 9

What separates the top 10% from the median

Of the 18.2 minutes between the top 10% and the median in Open Men, running accounts for 45%, workout stations 46% and Roxzone transitions 11%; relative to their own median, top athletes save 31% in transitions, 23% on stations and 21% on running.

Running and workout stations contribute almost equally to the gap in Open, so neither is the secret. In Pro Men the workout stations carry more of it (53% of a 16.6 minutes gap, against 40% for running). Transitions are the smallest slice in minutes but the biggest in relative terms: they are the most compressible part of a race.

Method: Gap = median component time of the 45th to 55th percentile group minus the median of the top-10% group, per division, using the same cleaned split data as the previous finding. Relative saving = gap divided by the median group's component time. Components do not sum exactly because medians are taken separately. Link to this finding

Finding 10

Fastest and slowest venues

Open Men's median finish varies by 39.8 minutes between venues, from 1:16:15 in Bilbao to 1:56:04 in Mumbai (99 venues with 500+ Open Men finishers).

Fastest five: Bilbao 1:16:15, Bologna 1:17:29, Vienna 1:18:00, Mechelen 1:18:21, Manchester 1:18:36. Slowest five: Mumbai 1:56:04, New Delhi 1:55:41, Jakarta 1:44:25, Puebla 1:44:02, Bangkok Ii 1:41:03. Differences mostly reflect who enters each event, such as local depth of competition, first-timer share and qualification effects, and possibly heat, altitude or course layout; they are not a clean measure of course difficulty.

Method: Median finish time of Open Men at each venue (all seasons pooled), venues with at least 500 valid Open Men results only. Championship, invitational and qualifier-style events are excluded because their fields are selected. Venue is the location slug in the results archive. Link to this finding

Finding 11

Country participation leaders

Great Britain supplies 14.7% of single-athlete finishers, United States 14.0% and France 9.6%; the top five countries account for 51.7%.

225 nationalities appear in the singles data. Among countries with 1,000+ Open Men finishers, the fastest median is Spain at 1:19:55 and the slowest is India at 1:54:49. Those medians are shaped by where events are held and how mature each local scene is, not by national fitness.

Method: Share of valid Open and Pro singles results (athlete rows, not teams) by the nationality recorded on the result, as registered with the event. A person who races several times is counted once per race. National medians use Open Men only, countries with 1,000+ results. Link to this finding

Finding 12

Repeat racers: how much do people improve?

Athletes who race again finish a median 1.4 minutes faster in their next race (58% improve, 30% by 5+ minutes), and Open Men who reach a third race are 2.2 minutes faster than they were at the start.

41,505 singles athletes have two or more races in different season slices. By division the median change into race two is Open Men 1.6 minutes faster, Open Women 1.5 minutes faster, Pro Men 0.0 minutes faster, Pro Women 0.1 minutes faster. Gains shrink with experience: Open Men on a third race improved a further 1.2 minutes over race two, after 1.1 minutes from race one to two for that same group.

Method: Athletes are matched on registered name slug, division and nationality. Only athletes whose races fall in different season slices (2024 S7, 2025 S7, 2025 S8, 2026 S8) are kept, so race order is certain; athletes with two races in one slice are excluded. Change = finish time of the later race minus the earlier, median across athletes. Race order is chronological by slice, not by exact date. Link to this finding

Methodology

Limitations

• Finishers only. Athletes who did not finish or were disqualified are not in the results, so times look slightly better than the full field.
• Coverage starts at Season 7. The 2024 slice holds fewer events than later slices, and Season 8 is still running, so season-on-season totals are not a census of the sport.
• Mixed fields. Cities, dates and entry mixes differ across slices and venues. Trends and venue gaps describe the data, not course difficulty or training effects.
• Identity matching. Repeat racers are matched on name slug, division and nationality. Different people with the same name and nationality could be merged, and athletes who changed names would be missed.
• Survivorship and selection. People who race again are not a random sample: they tend to be more committed, and athletes often return after an unusually slow first race. Improvements are best read as "what returners do", not "what training causes".
• Split data is partial. Run and workout splits are published for most but not all results; the split findings use only rows where they exist and are consistent.
• Teams have no gender field, so Doubles are not split into men's, women's and mixed.

Frequently asked questions