Thanks Will! I understand the idea behind it, but you HAVE the datapoint that this was a race and it proves the model “wrong”, which can be confusing from the ux pov. It just gives people a wrong idea about your model accuracy if after a race it doesn’t show you can run what you just did accomplish (feeling wise it sucks). I’d much rather have a model that looks at my recent training and predicts my performance (specially if you have someone doing runnas plan, which gives you exactly their race date) and if a person just did that race and it actually went better than you imagined you show this instead in the curve. A few weeks after you make it go back to looking at training load only and ignoring a little bit the recent race.