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top 25 teams by category
Using the data from my recently released database, I thought it would be fun to share the top 25 teams by category.
Subtracted tower strength Code:
rank team subtracted tower strengthCode:
rank team auto PointsCode:
rank team teleop Boulder PointsCode:
rank team teleop Scale PointsThere are very few consistent climbers. A 50-50 climber puts you in the top 50, and you can probably count on one hand the teams that have climbed in every qual match. There are very few consistent boulder scoring autos out there. Some of the teams on this list may have never even scored boulders in auto. It is important to recognize that although some of the teams with boulder scoring autos may be scoring 20 autonomous points, they often are contributing far less than this if they require the low bar, because they are taking that low bar spot away from other teams who might not otherwise get a cross. |
Re: top 25 teams by category
Are teams with 100% breach rates common?
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The average breaching contribution per team is .193. That is, three average teams together would average about 57% of a breach. Thus, teams with breach contributions of 1-(2*.193) = .614 could be expected to breach every match. 54 teams meet that criterion. Obviously, this method has some major flaws, but it should give a decent ballpark estimate. |
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Congrats to 1024 for being in the same list twice! :D
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I was originally going to list both the team number and the event in these lists, but the code tags provided by CD's text editor were being annoying, so I just dropped the event information. |
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You should do a category of bots with the highest defense (defense breaching) points.
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rank team crossing points |
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Does this data only include qualification numbers?
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Summing Caleb's four categories into a cumulative rank, where the points for each category =26-rank, the top 25 are:
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How does a team average higher than 15 in scale points?
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At our event this weekend we went 13 for 15 in scaling. So to say that those teams are better isn't really correct. It just means that their alliances were better.
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Secondly, the calculated contribution results do a pretty good job of separating individual teams out from their random alliances given that the metric of interest is separable. Scale points are pretty separable, that is, whether or not a given robot on an alliance scales has little impact on whether another robot on this alliance scales. Crossing points are not so separable (which is why I did not originally post the crossing rankings) since a robot that can cross all defenses will almost never contribute 50 crossing points. |
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I was not trying to pick it a part. In quals we went 10/12 and in elems went 3/3. I love work you put in to this, so sorry if you thought i was try to pick it apart. the only reason i said that is because the top teams average was above 15 that's all.
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The exact rankings of teams should be taken with a grain of salt. However, the general relative positions of teams should be correct. |
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How can a team have more then 15 scaling points per match average?
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I'm interested in how you are calculating these? Some teams have negative values for boulders scored. Are you trying to run these numbers the same way OPR and CCWM are calculated?
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