From https://ico.org.uk |
year | month | place | time | 90d/km | 180d/km |
2011 | October | Kosice | 03:48:50 | 363 | 450.2 |
2012 | April | Bratislava | 03:42:23 | 254 | 601.7 |
2012 | October | Kosice | 03:52:17 | 465 | 644.0 |
I intended to finish at 3:30, but hit a crisis at 31st kilometre, had to walk for a few, and then finished ignominiously at 3:52. However, I did improve my personal best next Spring, when I ran the marathon at 03:39:44 after running 463, respectively 480 km in the 180 and 90 days preceding the run.
I guess my belief in training very hard took another hit, when I managed to finish Two Oceans 56-ultra at 6:00:48 with some (clocked) 160 km in the preceding 6 months. I played soccer regularly, and ran infrequently, so that time looked far too good.
I put the "training does not help" theory to the test in Fall 2014. I finished at 4:25, and felt I should quit running. Instead, I put the data together:
year | month | place | time | pace/min/km | 90d/km | 180d/km |
2011 | October | Kosice | 03:48:50 | 05:25 | 363 | 450.2 |
2012 | April | Bratislava | 03:42:23 | 05:16 | 254 | 601.7 |
2012 | October | Kosice | 03:52:17 | 05:30 | 465 | 644.0 |
2013 | March | Bratislava | 03:39:44 | 05:12 | 465 | 480.0 |
2014 | April | Cape Town | 06:00:48 | 06:27 | 125 | 163.0 |
2014 | October | Kosice | 04:25:35 | 06:18 | 49 | 69.6 |
It clearly struck me my pace correlated negatively amount of training I put in: the corr. coefficient for 90d was -0.83 and -0.89 for 180d. Perhaps training does help, after all?
I managed to put in 170 km in the 90-day lead up to Kosice 2015, and barely made my way to the finish line at 5:36/km (3:55:57). Much better, but I felt 3:50 should have been met easily. Then came a similarly lukewarm Bratislava 2016: 03:51:39 at 5:29/km after 242, respectively 286 km. I did feel I trained enough to finish at 3:45 (or better), but lost my way after half-way mark. (Does it help or does it not?)
I put in some training later in the spring, had a usually quiet (lazy) summer, an okay run-up to the race. I started wondering about my goal pace the before the race. I had all this data:
year | month | place | time | pace/min/km | 90d/km | 180d/km |
2011 | October | Kosice | 03:48:50 | 05:25 | 363 | 450.2 |
2012 | April | Bratislava | 03:42:23 | 05:16 | 254 | 601.7 |
2012 | October | Kosice | 03:52:17 | 05:30 | 465 | 644.0 |
2013 | March | Bratislava | 03:39:44 | 05:12 | 465 | 480.0 |
2014 | April | Cape Town | 06:00:48 | 06:27 | 125 | 163.0 |
2014 | October | Kosice | 04:25:35 | 06:18 | 49 | 69.6 |
2015 | October | Kosice | 03:55:57 | 05:36 | 186 | 285.5 |
2016 | April | Bratislava | 03:51:39 | 05:29 | 242 | 286.4 |
2016 | October | Kosice | ? | ? | 210 | 520.0 |
The 90-day aggregate was nothing special (it was better in April), but the 180-day seemed quite decent. I also recalled I had been able to put in a 32k long run at 5:33/km, and had felt good at the end of it. In the end, I went for 5:19/km, which should result in 3:45, my third best result.
In spite of some difficulties (part 2), I finished with my personal best 3:38:30, at 5:11/km, and negative(!) splits. (This also confirmed that 180-d aggregate is a much better predictor of race pace.)
To be continued.
Great analysis! As a fan of graphs, I have to note that some graphs would make it easier to follow though. An you could show off by using it for teaching/homework too ☺
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