With the championship coming to an end, and us having some time to go back home and get organized, I would like to share some of 1156’s scouting data on the Newton Division. We collect this data from the qualifying matches by taking note on what each team scored in every match. This certainly introduces human error into our data, but it also allows for some interesting insights.
A couple of notes on this data. Some texts places contain texts in Portuguese, if you need any translations, let me know. Also, all objects scored have 5/3 points added to their manual values regardless of location to account for the contribution of those objects to links.
The main information we used to understand our field during the event was the ranking by average individual score:
This covers the top 40 teams and is split by auto/teleop/charge station and by grid level on teleop. Here it is interesting to see that, while 1538 and 4522 were outliers and were playing super well, we also had a very deep field, with the top 39 teams in the division averaging 50 points or higher alone.
Another interesting view is the dispersion of average amount of scored objects on high and mid levels on the grid:
Here 1538 really appears as an outlier by averaging a lot of objects on both mid and high. 1023 also featured more on this graph by being the best mid level scorer on our division. Kudos to them who did a similar strategy to ours of making concessions on the high level to be a really specialized robot, they really perfected this strategy.
This year we also started looking at the score rankings for the last 3 qualifications we scouted for each robot. This really helps in finding teams on an upward trajectory:
Some teams that impressed us in this metric by climbing over 15 places above their full qualification rankings were: 1757, 4069, 11, 5990, 9140 and 1629. This helped to put 1757 in our radar and when we watched their matches we could see the potential they had even though they ranked 32nd.
I ran our match simulation tool for all elimination matches. I will attach a zip file with screenshots of all expected results here, but the most impressive was definitely the finals:
While averages will almost always be lower than real match values if no robots stop working, alliance 3 managed to beat their average by 40 points twice. Throughout the eliminations 4329, 1746, 3184 and 5804 overdelivered on our expectations and I am really curious on how they managed to synergize so well.
We also have individual pages with more detailed data for each team. If your team was part of the Newton division, feel free to send a direct message and we can get your team’s individual information. Also feel free to ask for any other insights and we will do our best to provide them.
I hope everyone had as much fun as we did on this division!
Newton Elimination Predictions.zip (6.6 MB)