2012 Auckland Marathon Results Analysed

The time differences between the two halves of runners’ marathons tells us a lot about how they performed at last year’s Auckland Marathon.


I say to the runners I coach that perhaps the number threat to having a good half or full marathon is pacing.

Going out too hard can not only jeopardise  hopes of a new PB, it can also make the day simply measurable as you fight early-onset fatigue, dehydration and other nutritional problems, cramping, being passed by an endless stream of runners, worsening running form, and potentially a trip to ED (I’m speaking from experience!).

So below I’ve gone through last year’s Auckland Marathon results to look at the differences between the first half and second half of various finishers’ races.

2012 Auckland Marathon Results

Showing places with the difference between their first half and their second half (positive means slowing in the second half).
Male Winner: 0:00:11 +
Female Winner: 0:00:24 +
50th: 0:05:18 +
100th: 0:21:57 +
150th: 0:09:39 –
200th: 0:00:23 –
250th: 0:10:24 +
300th: 0:02:57 –
350th: 0:03:18 +
400th: 0:10:38 +
450th: 0:06:01 +
500th: 0:11:12 +
550th: 0:01:12 +
600th: 0:02:14 +
650th: 0:09:04 +
700th: 0:06:05 +
750th: 0:17:00 +
800th: 0:12:13 +
850th: 0:14:50 +
900th: 0:02:17 +
950th: 0:02:38 +
1000th: 0:10:10 +
1100th: 0:08:48 –
1200th: 0:03:20 +
1300th: 0:14:21 +
1400th: 0:21:52 +
1500th: 0:05:43 +
1600th: 0:03:06 +
1700th: 0:02:03 –
1800th: 0:27:17 +
1900th: 0:26:40 +
2000th: 0:22:22 +
2100th: 0:22:34 +
2200th: 0:19:17 +
2300th: 0:36:31 +
2400th: 0:24:32 +
2500th: 0:35:46 +
2600th: 0:31:47 +
2700th: DNF (of 3654 entrants only 2692 finished)

I’ll go into in-depth analysis of these splits in a future post, but initially I’m sure you’ll see the following key characteristics:

  1. The winners were pretty much bang on even pace (with a slight slowing in the second half probably to enjoy the moment and wave to the crowd).
  2. Only five of the 38 analysed actually did negative splits.
  3. Some had positive splits of well over 30 minutes, which represents an average dropping away of pace of more than 90 seconds per kilometre.
  4. The pacing seems to get worse amongst those with slower overall marathon times (suggesting that the more experienced runners also have more accurate pacing strategies).

3 responses to “2012 Auckland Marathon Results Analysed

  1. You’d kind of expect that the better the runner the more likely a negative split and the worse the runner the more likely they would collapse after 30 km, wouldn’t you. I mean that’s what training is for.

    • Yeah I agree David. I guess what I’m suggesting is that if a slower runner can gauge their current fitness accurately they’ll be able to minimise that positive split and run closer to their own potential on the day. It’s kind of a double jeopardy situation where slower runners are not only slower but also typically have worse pacing strategies which makes them even slower still.

      • Aahh, I see where you’re going with that, sorry if I sounded a bit know-it-all, but now I get it.

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