HKG Iris Lo
6 HYROX races over 1 season, all in a team with 5 partners.
One best per race type
Finish time, race by race: one race type at a time
Oldest to newest; a line going down means getting fasterEach dot is one Doubles Women race. Not enough complete, clean Doubles Women races yet to measure the change. Team times are shared with a partner, so they move with who you race with.
Each dot is one Doubles Mixed race. Not enough complete, clean Doubles Mixed races yet to measure the change. Team times are shared with a partner, so they move with who you race with.
6 results
| Race | Division | Time | Place | Runs | Stations | Roxzone | Report | |
|---|---|---|---|---|---|---|---|---|
| Hong Kong 2026 8 May 2026team: Iris Lo, Scarlett Wongwhole field → | Doubles Women · team 30-34 | 1:12:02 | 33rd of 1,32310th of 371 aged 30-34 | 35:33* | 27:35* | 8:59 | View results | See splits Hide splitsSkiErg4:29fastest 4%Sled push1:49fastest 22%Sled pull4:06fastest 19%Burpee broad jump2:59fastest 3%Row4:55fastest 8%Farmers carry1:56fastest 42%Sandbag lunges3:18fastest 8%Wall balls4:03fastest 14%Runs (8 km)35:33fastest 4%Roxzone8:59fastest 2%Run 13:38fastest 7%Run 24:06fastest 3%Run 34:18fastest 4%Run 44:12fastest 3%Run 54:31fastest 5%Run 64:34fastest 7%Run 74:31fastest 5%Run 85:47fastest 4%Full report for this race → |
| Bangkok 2026 20 Mar 2026team: Iris Lo, CJ Chanwhole field → | Doubles Mixed · team 35-39 | 1:09:21 | 83rd of 1,45219th of 369 aged 35-39 | 33:30 | 28:08 | 7:47 | View results | See splits Hide splitsSkiErg4:07fastest 8%Sled push2:04fastest 15%Sled pull3:13fastest 4%Burpee broad jump2:48fastest 7%Row6:39faster than 1%Farmers carry1:42fastest 17%Sandbag lunges3:35fastest 15%Wall balls4:00fastest 14%Runs (8 km)33:30fastest 5%Roxzone7:47fastest 4%Run 15:50fastest 5%Run 23:44fastest 5%Run 33:58fastest 7%Run 43:50fastest 5%Run 53:52fastest 5%Run 63:49fastest 4%Run 73:51fastest 4%Run 84:39fastest 5%Full report for this race → |
| Osaka 2026 30 Jan 2026team: Cj Chan, Iris Lowhole field → | Doubles Mixed · team 35-39 | 1:07:56 | 47th of 61610th of 139 aged 35-39 | 36:15 | 25:07 | 6:39 | View results | See splits Hide splitsSkiErg4:10fastest 8%Sled push2:16fastest 42%Sled pull3:12fastest 10%Burpee broad jump2:30fastest 13%Row4:23fastest 13%Farmers carry1:42fastest 24%Sandbag lunges3:17fastest 20%Wall balls3:37fastest 10%Runs (8 km)36:15fastest 9%Roxzone6:39fastest 11%Run 12:37fastest 8%Run 24:40fastest 7%Run 34:55fastest 8%Run 44:58fastest 11%Run 55:31fastest 20%Run 65:00fastest 10%Run 75:01fastest 9%Run 83:37fastest 7%Full report for this race → |
| Singapore Expo 2025 29 Nov 2025team: Iris Lo, Kei Kei Angwhole field → | Doubles Women · team 30-34 | 1:14:11 | 29th of 66010th of 164 aged 30-34 | 38:41 | 28:50 | 6:45 | View results | See splits Hide splitsSkiErg4:47fastest 19%Sled push1:44fastest 13%Sled pull3:56fastest 12%Burpee broad jump3:23fastest 12%Row5:21fastest 46%Farmers carry1:44fastest 23%Sandbag lunges3:27fastest 21%Wall balls4:28fastest 24%Runs (8 km)38:41fastest 4%Roxzone6:45fastest 5%Run 13:46fastest 6%Run 24:50fastest 6%Run 34:55fastest 5%Run 44:44fastest 3%Run 54:56fastest 4%Run 65:05fastest 5%Run 74:54fastest 3%Run 85:35fastest 3%Full report for this race → |
| Yokohama 2025 9 Aug 2025team: CJ Chan, Iris LOwhole field → | Doubles Mixed · team 35-39 | 1:08:29 | 19th of 2554th of 67 aged 35-39 | 35:19 | 27:00 | 6:10† | View results | See splits Hide splitsSkiErg4:20fastest 24%Sled push1:55fastest 22%Sled pull4:17fastest 46%Burpee broad jump2:52fastest 21%Row4:37fastest 19%Farmers carry1:34fastest 18%Sandbag lunges3:26fastest 19%Wall balls3:59fastest 18%Runs (8 km)35:19fastest 5%Roxzone6:10Run 14:26fastest 8%Run 24:13fastest 7%Run 34:26fastest 7%Run 44:22fastest 5%Run 54:33fastest 7%Run 64:24fastest 5%Run 74:28fastest 5%Run 84:27fastest 4%Full report for this race → |
| Hong Kong 2025 26 Jul 2025team: Maggie Ng, Iris Lowhole field → | Doubles Women · team 40-44 | 2:31:27 | 580th of 58479th of 80 aged 40-44 | 1:29:23 | 49:48 | 12:16† | View results | See splits Hide splitsSkiErg5:42faster than 8%Sled push2:50faster than 10%Sled pull7:33faster than 2%Burpee broad jump7:22faster than 4%Row6:23faster than 4%Farmers carry2:10faster than 25%Sandbag lunges5:34faster than 10%Wall balls12:14faster than 1%Runs (8 km)1:29:23faster than 2%Roxzone12:16Run 16:12faster than 7%Run 210:23faster than 2%Run 310:42faster than 2%Run 411:29faster than 2%Run 513:20faster than 1%Run 612:24faster than 2%Run 712:20faster than 1%Run 812:33faster than 4%Full report for this race → |
How to read
Place is the position among timed finishers in the same race, division and gender; a doubles place is the team's. Runs is the organiser's official run total (it can differ from the eight laps added up by a few seconds), stations the eight stations added up, and roxzone the time moving between them. † This venue did not time the roxzone: the figure is the finish minus runs and stations, and part of the walk is inside the run laps there, so it is shorter than at other venues. The age group is the one entered for that race; for a team it is the team’s age group. * At that edition running was under 44% of the typical finish (48% is normal): the timing mats counted some running as station time, so its runs look faster and its stations slower than they were. How the numbers are made.
The fastest Iris has done each station
| Part | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:29 | Hong Kong 2026 · best of 3 | 4:48 |
| Sled push | 1:44 | Singapore Expo 2025 · best of 3 | 1:51 |
| Sled pull | 3:56 | Singapore Expo 2025 · best of 3 | 4:12 |
| Burpee broad jump | 2:59 | Hong Kong 2026 · best of 3 | 4:17 |
| Row | 4:55 | Hong Kong 2026 · best of 3 | 5:12 |
| Farmers carry | 1:44 | Singapore Expo 2025 · best of 3 | 1:52 |
| Sandbag lunges | 3:18 | Hong Kong 2026 · best of 3 | 3:47 |
| Wall balls | 4:03 | Hong Kong 2026 · best of 3 | 4:22 |
| Runs (8 km) | 35:33 | Hong Kong 2026 · best of 3 | 49:12 |
| Roxzone | 6:45 | Singapore Expo 2025 · best of 2 | 7:49 |
How to read
Each station's best across Iris's Doubles Women races, from different races, against the typical Doubles Women split. Venues differ (sled carpets, run laps, where the mats sit), so a best can owe something to the venue.
5 team partners
- CJ Chan2 races
- Cj Chan1 race
- Kei Kei Ang1 race
- Maggie Ng1 race
- Scarlett Wong1 race
From the team results above. A name opens the search: a partner can have more than one page.
Hong Kong 2026, against 1,323 Doubles Women
Shape of the race
Further out means you beat more of the field on that part. A dent is a weak spot.
How you ranked on each station
Longer is better: the share of the field you beat.
Minutes against the typical finisher
Green, left of centre: faster than the typical Doubles Women finisher at this race. Orange, right: slower, and by how much.
The race as one bar: Iris against the typical Doubles Women finisher
The race in order, left to right. A wider block than the one below is slower than typical.
Training for the next one? Let's beat 1:12:02.
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