[ HYROX RACE REPORT ]

Daisy Weber

HYROX Hong Kong 2025 · Doubles Women · 25-29 · GER

AsiaWorld-Expo · Hong Kong · 2025-03-08

1:04:21

34th of 398 in Doubles Women · 12th in 25-29 · faster than 92% of the field

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Overview

Where this race sits in Doubles Women, station by station.

Finish

1:04:21

Running

33:06

−7:25

Stations

27:10

−4:42

Roxzone

4:05

−1:13

Percentile by station. Your overall standard is the 92th percentile. Strongest: SkiErg at the 95th. Weakest: Sled Pull at the 52th.SkiErgSled PushSled PullBurpee Broad JumpRowFarmers CarrySandbag LungesWall Balls10050
Each spoke is your percentile for that station within Doubles Women. The dashed ring is your overall standard — anything inside it is costing you time relative to the rest of your own race.
Overall standard
92% percentile
Strongest
SkiErg95% percentile
Weakest
Sled Pull52% percentile
Division rank
34th of 398
Age group
12th in 25-29

The story of your race

Where the finish time was won and lost, checkpoint by checkpoint.

Projected finish through the race. Started projecting 1:16:51 and finished on 1:04:21. The line fell, so you gained on the field as the race went on.finished 1:04:211:04:021:10:381:17:14Run 1SkiErgRun 2Sled PushRun 3Sled PullRun 4Burpee Broad JumpRun 5RowRun 6Farmers CarryRun 7Sandbag LungesRun 8Wall Balls
At each segment this takes the time you had actually spent and adds the division average for everything still to come. A falling line means you were pulling away from the field as the race went on; a rising one means you were giving it back. No model, no prediction — arithmetic on what happened.
The sled is where most races are decided, and where most people find out how they paced the first two runs.

Every station against your own standard

You raced at the 92% percentile overall. These bands show what someone of that standard typically runs on each station — so a split above the middle band is a strength, and one below it is where your time is going.

  • Excellent
  • Great
  • Expected
  • Below par
  • Off day
SkiErg
Performance band. Your 2:57 against an expected 3:08.2:57
Expected · −0:11
Sled Push
Performance band. Your 2:47 against an expected 2:23.2:47
Off day · +0:24
Sled Pull
Performance band. Your 4:06 against an expected 3:16.4:06
Off day · +0:50
Burpee Broad Jump
Performance band. Your 4:41 against an expected 3:59.4:41
Off day · +0:42
Row
Performance band. Your 3:50 against an expected 3:07.3:50
Off day · +0:43
Farmers Carry
Performance band. Your 2:06 against an expected 1:45.2:06
Off day · +0:21
Sandbag Lunges
Performance band. Your 3:23 against an expected 3:23.3:23
Expected
Wall Balls
Performance band. Your 3:20 against an expected 3:07.3:20
Below par · +0:13

What this race was worth on the same legs

Your best station on the day was SkiErg, at the 95th percentile. If every other station had matched that same level — on the same day, on the same legs — this is where you would have finished.

You ran

1:04:21

Same-day potential

59:55

Available

4:26

Where it is

  • Sled Pull1:00
  • Burpee Broad Jump0:54
  • Row0:53
  • Sled Push0:32
  • Wall Balls0:31

Running assessment

How evenly you ran, and what the back half cost you.

Run total

33:06

Variation

2.6%

Excellent

Average lap

4:08

runs 2–7

Faded by

0:44

back four vs front four

Run splits. Eight runs from 4:01 to 4:17. Runs 1 and 8 are shown but excluded from the variation figure.1:092:193:284:384:0614:012fastest4:0234:0244:1154:1464:177slowest4:138
Runs 1 and 8 are shown but excluded from the variation figure. Run 1 depends on where the start line sits, and run 8 absorbs the transition into wall balls — including either measures the venue rather than the athlete.

The roxzone

The part of the race nobody trains, and the cheapest time on this sheet.

Your roxzone

4:05

Division average

5:18

Difference

−1:13

Share of race

6.3%

Against the winner of Doubles Women

Ines Singh won this division in 54:50. This is where the gap actually is — it is rarely spread evenly.

Where the gap to the winner is. You were behind the winner on 16 of 17 segments. The largest single gap was 1:42.Seconds behind the winner on each segment — longer is worseRun 1+0:354:06SkiErg+0:172:57Run 2+0:264:01Sled Push+0:572:47Run 3+0:214:02Sled Pull+1:414:06Run 4+0:274:02Burpee Broad Jump+1:424:41Run 5+0:234:11Row+0:593:50Run 6+0:304:14Farmers Carry+0:492:06Run 7+0:294:17Sandbag Lunges+0:203:23Run 8+0:244:13Wall Balls−0:563:20Roxzone+0:074:05winner’s time
Only the gap is drawn. Bars to the right of the line are segments where Ines Singh was faster than you; bars to the left are ones where you were faster. The winner's splits come from the published result — we do not hold per-segment records for the whole field, so this is the winner rather than the fastest split anyone posted.
A hundred wall balls with nothing after them. What you have left here was decided an hour earlier.

Against your last race

Compared with Singapore 2024 (1:02:56). Net +1:25 across the splits that matched.

This race

1:04:21

Last race

1:02:56

Splits faster

6

Splits slower

11

Split differences against your last race. 6 of 17 splits were faster than last time.Run 1+0:07SkiErg−0:16Run 2+0:04Sled Push−0:05Run 3+0:02Sled Pull+0:26Run 4−0:05Burpee Broad Jump−0:18Run 5+0:16Row−0:01Run 6+0:12Farmers Carry+0:06Run 7+0:04Sandbag Lunges−0:39Run 8+0:12Wall Balls+0:51Roxzone+0:29← fasterslower →

What your next race looks like

Across 5 races you are trending faster by about 141s a race.

Excellent

50:06

−14:15

Great

51:29

−12:52

Expected

52:52

−11:29

Below par

54:15

−10:06

Off day

55:38

−8:43

Fitted through your 5 races in this division and extrapolated one race forward. The spread is your own — how far your results actually land from your own trend line — so a consistent athlete gets a tight range and a streaky one gets a wide one.

Split targets for your next race

Built to 51:29. Time is taken off each segment in proportion to how much room it has against your own best standard, rather than shaved evenly — asking the same improvement from your strongest station and your weakest is both harder and slower.

Target split times for the next race
SegmentThis raceTargetChangeElapsed
Run 14:064:06—4:06
SkiErg2:572:57—7:03
Run 24:014:01—11:04
Sled Push2:471:00−1:4712:04
Run 34:024:02—16:06
Sled Pull4:060:45−3:2116:51
Run 44:024:02—20:53
Burpee Broad Jump4:411:40−3:0122:33
Run 54:114:11—26:44
Row3:500:52−2:5827:36
Run 64:144:14—31:50
Farmers Carry2:062:06—33:56
Run 74:174:17—38:13
Sandbag Lunges3:233:23—41:36
Run 84:134:13—45:49
Wall Balls3:201:36−1:4447:25
Roxzone4:054:05—51:30

Your race history

Every Doubles Women race we hold for you. Darker means faster within that column.

Split times for each race, shaded darkest where the time was fastest for that column
RaceFinishRun totalStationsRoxzone
Singapore 20241:02:5632:1427:063:36
Hong Kong 20251:04:2133:0627:104:05
New Delhi 20261:01:16———
Manchester 202655:11———
London 202655:47———

Split detail is shown for the races loaded in full. Open any race from your profile to add it here.

How every figure here was worked out

No black box. If you cannot check a number, you cannot train against it.

Percentiles
Computed against every finisher in Doubles Women at this event — 398 times for the overall figure, and the full division sample for each station.
Performance bands
Your overall percentile is read back against each station’s own distribution. The middle band is what an athlete of your standard typically posts there; the others are the same distribution read further up and down. Shifting in percentile space rather than in seconds matters, because ten points is worth far more time on the sled than on the ski erg.
Same-day potential
Your strongest station sets the ceiling, and every other station is measured against that same percentile. It is deliberately not “if you were perfect” — you proved you could operate at that level on the day, so it is a target rather than a fantasy.
The race story
At each checkpoint: time actually elapsed, plus the division average for everything still to come. Your roxzone is spread evenly across the sixteen timed segments, which is why the line lands exactly on your finish time.
Next race
A least-squares line through your finish times in this division, extrapolated one race forward. The band width is your own residual spread, not a population figure.
What is not here
Per-transition roxzone splits, because the timing feed publishes one roxzone total rather than eight. Where a benchmark says “winner” it is the winner’s split, not the fastest split in the field — we do not hold per-segment records for every finisher.