The full list of events and distances is:
- Sub-marathon trail run:
- Routeburn Classic
- Marathons:
- DUAL Trail Marathon;
- Motutapu Marathon;
- New Plymouth Marathon (which is net downhill and fast);
- Standard Marathon;
- T42 Trail Marathon;
- Ultramarathons:
- Reference 50km, 80km, 100km;
- Great Naseby Water Race 50km, 80km, 100km;
- Heaphy Five-O (no longer held);
- Hutt River Trail Ultramarathon 60km;
- Kepler Challenge 60km;
- Length of the Lake 67.5km;
- Marton-Wanganui 67km;
- Molesworth Run;
- Northburn 100 mile;
- St James Ultra (no longer held);
- Tarawera 2009;
- Tarawera 60km, 85km, 100km;
- Taupo 100km pre-2009 (very hilly first 45km);
- Taupo 100km 2 Lap (2009);
- Taupo 100km 4 Lap (2010, 2011);
- Te Houtaewa 90 Mile Beach Run;
- Triple Peaks 47km.
The updated table of multipliers is given below.
Table 1: Race Time Prediction Multipliers, Ordered by Multiplier
Event | Distance (km)   | Multiplier |
New Plymouth Marathon | 42.195 | 0.96 |
Standard Marathon | 42.195 | 1.00 |
T42 Trail Marathon | 42.195 | 1.17 |
Motutapu Marathon | 42.195 | 1.19 |
Reference 50km | 50 | 1.21 |
Routeburn Classic | 38 | 1.24 |
Dual Trail Marathon | 42.195 | 1.31 |
Naseby 50km | 50.1 | 1.41 |
Triple Peaks | 47 | 1.59 |
Hutt River Trail | 60.25 | 1.62 |
Marton-Wanganui | 66.4 | 1.77 |
Te Houtaewa 90 Mile Beach | 60 | 1.81 |
Length of the Lake | 67.5 | 1.94 |
Reference 80km | 80 | 2.05 |
Kepler Challenge | 61.3 | 2.16 |
Tarawera 60km | 60 | 2.26 |
Naseby 80k | 80.16 | 2.39 |
Molesworth Run | 84 | 2.58 |
Reference 100k | 100 | 2.63 |
St James Ultra | 67.2 | 2.66 |
Heaphy Five-O | 78.4 | 2.74 |
Taupo 100km 4 Lap (2010, 2011) | 100 | 2.86 |
Tarawera 86km | 86 | 3.07 |
Naseby 100km | 100.2 | 3.07 |
Tarawera 2009 | 89 | 3.10 |
Taupo 100km pre-2009 | 100 | 3.12 |
Taupo 100km 2 Lap (2009) | 100 | 3.13 |
Tarawera 100km | 100 | 3.64 |
Northburn 100 mile | 160 | 9.52 |
The methodology remains as described in my May 2010 post. The rate of slow down derived from my latest analysis is 1.120, rather than the 1.197 previously obtained.
3 comments:
Hi Andrew:
I think the change in the exponent from 1.197 to 1.120 is significant. The change suggests to me that the data set for the first estimate (1.197) was not large enough. Two questions come to mind:
1. How much do you think the 1.120 would change if you had a lot more data?
2. Have you considered applying your analysis to more homogeneous sets of events. For example, track events or track and flat loop events (such as 100K in Hagley Park)?
Best wishes.
Philip
NZ Centurions
Hi Philip
It has taken a long while (2.5 years since your comment), but the analysis has now been updated. There is now considerably more data (9,514 data pairs), and the exponent has returned to 1.20.
The track and flat loop events are critical for the exponent, but we really don't get enough people doing them. My analysis relies on having the same person competing at different distances/events over a relatively narrow time period (4 years), but unfortunately the flat events don't attract he entrants.
Cheers
Andrew
I should have also added, the output of the new analysis is available on this blog at http://andrewwalking.blogspot.co.nz/2014/03/race-time-prediction.html
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