Very nice tool you have here. 1114 is a fun team to watch the ELO for, which got quite high in 2010 until they threw the match.
Is it possible to adjust some of the parameters? Because the end of season reversion to the mean seams to small. 538's models for
basketball and football have at least a 25% reversion to mean. 25% seems like a lower bound since each team loses a class of seniors and build a new robot each season, and the latter should really drives this model.
As an example of this, the highest ELO from 2016 was a 254 qual match at their first event, which is really a carryover from their 2015 season. But this might be inevitable in some cases, like 538 notes in their NBA model that teams with superstars like Bulls and Cavs maintained high ELOs for a while after Jordan and LeBron left.