The Wait Begins...
Tackling spring marathons together!
Over the next week, some of you will be peeking out of your letterboxes, eager to discover whether you've got a place in the London Marathon. And even if you're not the sort to be drawn in by the glitz of the big event, your thoughts might well be turning to the idea of a spring marathon. There are plenty of them! So far in 2014 our Event Finder has 264 marathons listed in Britain and Ireland, and 434 across the globe.
In last week's article, I waded into the vast amount of data available in the Fetch database to divine some 10k statistics - grouping thousands of runners according to their finishing time, and examining the sort of training they did in the build up to their races. It's fascinating to see trends emerge, and it can be useful when it comes to planning future training.
However, there are several problems that crop up when analysing a big chunk of data in retrospect - mostly originating from the fact that numbers often tell only part of the story. A five mile run with an average pace of 10mins/mile sounds like it could be a nice consistent trot through the autumn leaves, but those top-level numbers could easily be masking a particularly nasty interval session.
For every runner, there are a plethora of unseen details lurking below the surface that have an impact on race outcome - and unless we can record this type of information in a consistent way, our confidence in predictions and guidelines takes a corresponding hit. So with just over six months to go until spring marathon season, it's a good time to think about how we can capture just a little bit more detail.
Of course, there's no need to reinvent the wheel (although cycling is cheating). You could just follow a training plan, or base your efforts on basic training principles - and do the best that you can. But any valid tactic that helps shape our experience and guides us towards success is surely welcome.
So I'd like to take things a little bit further, and investigate the progress of everyone who is building up to a spring marathon. It could be the biggest experiment of its kind in the known universe. Let's get some firm ideas about our goals and our goal races, and our attitudes to achieving them. Let's do what we can to explain away anomalies that obscure the underlying rules. Let's find a consistent way to record our intervals and effort runs, so that when we look back upon thousands of race performances, we can compare like with like.
Runners! This is your bit!
To begin the process, we obviously need a group of runners. If you're planning to run a marathon any time soon, find it in our Event Finder, and add it to your race portfolio (if we don't have the race listed, you can add it). If you possibly can, add a time prediction - make it your best guess at your goal time. And from here on, make sure you log all your training on Fetch, and keep an eye out for updates.
Everyone else! Here's where you come in!
We also need scientists! Now is the time to make your suggestions about what information we should be recording. What can we ask our runners to help clarify what the numbers are telling us? It's time to put forward your hypotheses about where marathon mojo comes from, and what sort of training contributes to success. A bit of foresight now will make the springtime hindsight just that little bit clearer! Leave your comments below.
For my part, I'll be thinking about what we can do to improve our training log, to help us get a clearer picture - and I'll be writing up the results in regular articles over the next six months. For anyone in doubt, I've no intention of selling this information on, nor using it to mis-sell you Payment Protection Insurance. It'll all be used in an anonymous crowd-based fashion. And I'll be doing my best to join that crowd too - which reminds me, I must go and stand in the hallway. No reason.
Picture: Getty Images / Laurence Dutton
Other Marathons Do Exist!
If you're licking your wounds after defeat in the London Marathon ballot, then help is at hand. Here are the most popular springtime marathons in our race portfolios.Monthly Summary
A brand new shareable infographic showing a colourful breakdown of your training month.
Marathon Prediction
We delve deeper to give you greater insights when working out your goal marathon time.
Pre-race Training Analysis
See your accumulated mileage in the weeks leading up to any event in your portfolio, and compare it to your other performances
Your 365 Day Totals
Peaks and troughs in training aren't easy to find. Unless you use this graph. Find out what your peak training volume really is
Benchmarks
See the fastest portions from all your training runs. Filter by time to give you recent bests to aim at. Every distance from 400m to marathon.
Fetch Everyone Running Club
Join our UKA-affiliated club for event discounts, London Marathon ballot places, the chance to get funded for coaching qualifications, and a warm feeling inside.
Leave a comment...
For races have category: Genuine PB attempt; Season's best or Current best attempt (same as PB effectively, because it's your 'PB given current condition'); Just a pacier training run; Ambling with a mate or drinking beer on way round. So you can categorise race performances better.
You could also have training Week Numbers (if you look at my log (not in my plan yet), and at many of the prebuilt plans, they have Week X of Y at the start of each week - usually as a Rest session.)
There will be other ideas. Maybe a thread for 'how to log more info for better stats' thread? Good article, as always. Good luck all the VMLMers, Paris marathoners etc Spring 2015! G
Tempos hills etc are the same - if you want the whole route in 1 run for Fetchpoint purposes then warm ups running to the hill etc pace all needs to be lumped in together. I would upload the run for Fetchpoint and then split out the run sections manually if it was straightforward and didn't then double up total mileage. Not sure how that can be fixed without HappyG's pop up question thing idea
Maybe something to compare target v actual pace for a given run (or the pacy bits of that run), or target v actual mileage for the week? It may already exist but I don't store my Plan in Fetch.
Good article, except for 'a myriad of' ... I'll never get used to the growing trend for that usage (but this is not the place for grammar pedantry or gear grindage )
In addition to the excellent suggestions already, I'd be interested in looking at the pace and distance of long runs done. If it's possible to extract the data I'd also be fascinated by the pace profiles of these long runs - i.e. are they consistent, get faster as they go on, or do they get progressively slower?
I must admit that on quite a few of my runs I do strides and I dont split these out into saperate runs because Im lazy. So anyone looking at my training wouldnt see the strides.
Highlighting the importance and benefits of logging our runs correctly will help. Maybe Mr Fetch could just have a focus group who commits to logging their runs accurately? Id volunteer for this.
Also, on a similar note, capturing runners' 'Perceived level of experience' might be helpful too (perhaps with a scale of something along the lines of 'beginner', 'still learning', etc. through to 'experienced', 'elite', etc.).
I like the idea of numbering the weeks leading up to the race. Once I start training for the spring marathons I will do that and also name the mesocycle I'm currently doing and what its purpose is.
Counting the number of marathons run and the 'running age' are also good ideas.
Labelling a race as PB attempt, pacier training run, just for fun or something similar would also help.
The distinction between general long slow runs and fast finish ones /those with a part at marathon pace is also important so I'd log the slower runs as Long Runs and the others as Marathon Pace.
I'll stay tuned and keep an eye on this for now, as I still have to get through two marathons this autumn. I start worrying about a spring marathon in November.
Understanding the data and interpreting the results is often the hardest element of this running lark and greater insight would be welcome, although the quality of the output is dependent on the input.
However, I think in parallel with attempts to record training in a more transparent manner, it is equally important to ensure that the currently available functionality to upload training files to populate the Fetch training log are working effectively. My previous feedback, fmails and emails have highlighted that the Polar HRM upload is not working, which is failing to capture such important training information as heart rate data. Previous articles have referenced the importance of this data in determining training performance and aiding fitness assessment, that by not having this functionality working correctly, there is a big hole appearing.
Polar users may be in the minority compared to Garmin; however, should our choice of watch jeopardise the data we can record, especially when the upload option is available.
Sorry for the moan, but maintenance of existing functionality is as important as introducing new options and gadgets.
Keep up the good work and I hope this plan delivers.
I think something that is a good predictor is to somehow be able to log the training you didn't do. Matt Fiztgeralds 'run by feel' suggests you should rate each run 1-5 on how good you felt.
I reckon we should rate how we 'felt' before and after. I have a hypothesis. Those who persistently say get out and go for a run when they are feeling crap* (1 or 2) will perform better on race day than those that feel a 1 or 2 and give up on the session.
*By 'crap' i don't mean properly ill or injured, just a bit 'meh' - sorry about all the technical terms here.
What kind of stuff do you use to do this analysis? Doing it in excel must be torture
Good luck!
I particularly like Happy G's suggestion about suggestions since I find it tricky to define Tempo vs long vs easy vs recovery. Intervals I can figure, but even then hill intervals are very different to sprint intervals or cruise intervals.
[Wanders off to look for 'Three Amigos' DVD]
I read that some Garmins record data each second, and others less frequently. That's going to make a big difference in analysing fartleks, track sessions and so on. Maybe you want only to include people with the finest Garmins.
Binks: that's sort of what my research is looking at, how people feel during exercise. However, almost EVERYONE feels better after exercise, so that in itself is not very informative. It's possible that how people feel at the end versus the 'peak' (ie high or low) might influence overall evaluations of a run, which may then affect future exercise behaviour. Capturing this information in the wild is tricky though, if anyone has any suggestions for how to do that, I'd be very interested