Discover and read the best of Twitter Threads about #1500m

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Are there key races pre-#Olympics which give unique insights into an event as unpredictable as the #1500m?

Does the #OsloDL Dream Mile, steeped in history, present a reliable form guide?

@David_Tarbotton @insideaths @melbtrackclub @WorldAthletics @runnerstribe Image
I analysed the last eight Oslo Dream Miles in Olympic years, 1984-2016, to see how runners performed in the Olympics. Note no Dream Mile in 2004 due to track modifications, converting the unique 6-lane setting to the traditional 8-lane track.
There were 84 participants in these Dream Miles (this data only includes those that ran under 4 minutes for the Mile). Of these participants, 57 went on to run in the Olympic 1500m of that year, and 33 of them (58%) made the Olympic final.
Read 8 tweets
(1/thread) A 2nd (Free) contribution #iaafdoha19 available:
frontiersin.org/articles/10.33…

Tactics that Differentiates Medalists in Elite Men’s #1500m #Championship #Racing

It all started following #rio2016 final chats with @nickwillis @stevewillis_NZ

youtube.com/watch?v=Grf_62… Image
@nickwillis @stevewillis_NZ @TStellingwerff @stevemagness @Scienceofsport @BiomechMax @ALTIS @simonrogersNZ @bendaytoday @FrontSportsAL @sweatscience (2)I shared a race velocity profile to which Nick shared tactics was the key in the end result. He was absolutely right, a velocity profile (which predominates the majority of this work in the area of tactics/pacing) – gives only a very surface characterization of what’s going on
@nickwillis @stevewillis_NZ @TStellingwerff @stevemagness @Scienceofsport @BiomechMax @ALTIS @simonrogersNZ @bendaytoday @FrontSportsAL @sweatscience (3) I felt pretty useless in being able to provide useful insights to support what tactically was going on. We had to evolve our approach… First is what we found...(followed by practical apps, then future researcher discussions).
Read 22 tweets

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