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#31
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Re: Alliance Selection Strategy
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Even without a scouting system providing hard numbers of a robots capabilities, a lot of useful soft information can be gleaned by talking to teams in their pits as well as talking to spectators. |
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#32
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Re: Alliance Selection Strategy
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Your regional may vary. |
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#33
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Re: Alliance Selection Strategy
It could, but nobody has ever broken it down that way.
If a team competes in two regionals (or two districts) the trending OPR could be calculated as follows: 1) first 2/3 of first regional 2) last 2/3 of first regional 3) last 1/3 of first regional and first 1/3 of second regional 4) first 2/3 of second regional 5) last 2/3 of second regional ... and so on, if a third regional is involved. |
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#34
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Re: Alliance Selection Strategy
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My team does pit scouting, collect data of every robot of every match and combine that with OPR/CCWM to come up with a pick list. I don't advocate using only OPR. There are two circumstances I can think of that it is useful. When we were a rookie team, we had 6 students on the team, 4 of them were on the field or in the queue line most of the time, leaving only 2 students in the stand. In between matches, they were fixing and getting the robot ready for the next match. That year we used strictly OPR for first pick and CCWM for second pick. It was better than nothing. The other way I would use OPR is if I was not at the competition so other means of scouting is not possible. The data tells me a lot about the teams. This data is very useful at the Championship when you have not seen how the other 99 robots in your division play, especially in the early matches. The last time I check, the winner of the alliance is the one who can score more points. Offense is definitely important. However another way to look at it is if my alliance plays in such a way that we can create a positive point differential, my alliance will win. Three defensive teams, no matter how good they are at it, will never win a match. The best they can do is to tie it. You need at least one robot on the alliance that has sufficient offensive power to win. Oh I almost forgot to answer this new posters question. You are absolutely wrong. Let me give you a simple example. I see you are also from Michigan. Let's say the district event has 40 teams. Let's say all teams except yours score exactly 20 points per match and your robot score 10 points. The calculated OPR is 20 for every other team and 10 for your team. Let's say you go to your second district and every robot there can score 40 points per match and your robot score 10 points per match. The OPR will be exactly 40 for all other teams and your team's OPR is still 10. So you are wrong to think that your OPR will be higher because you play in higher scoring matches. If you don't contribute to the higher score, you get nothing higher in your OPR. |
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#35
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Re: Alliance Selection Strategy
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You are in some respects correct, with some caveats and corrections. Yes, OPRs are based on calculations that involve the full alliance's score. However, "add up" is not the correct turn of phrase for potential inaccuracy--the more you play, specifically the more different alliances you (and your allies) play with, the less a role they should play in determining your OPR. As a simple example: 1114 + 000 + 999 = 150 ...this could mean that 1114 did nothing, and 000 scored 150 points alone 000 + 9999 + 8888 = 10 ...this makes it less likely that that happened 1114 + 7777 + 8888 = 180 ...again, it's getting clearer that 1114 has something going on here... Imagine this continuing for another half dozen matches, and you'll see how more data tends to yield more accurate rather than less accurate results. OPRs are also not as close as you think they are. For instance, at my last event, the standard deviation was 17.5, with a range of 69. Of 33 teams, the largest set within a 1pt range was 3 (13.7, 13.1, 13.0). Even at 60-some team events, the largest I found was 6. While they are somewhat sensitive, particularly at regionals with fewer qual matches, the amount that they'd change would probably be lower than the rating's useful precision anyway. And again, if your partners in that match are normally that bad in their matches, it certainly won't screw everything up for you. EDIT: Or, you know, what Ed said. That too. (Except ever since EDIT: after 2011, 3 defensive robots can win matches.) Last edited by Siri : 26-03-2013 at 01:41. |
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#36
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Re: Alliance Selection Strategy
Siri,
When I say defensive robots, I don't mean they can score all their autonomous points and then play defense and then get the end game points. I meant pure defensive robots that do not score. You cannot win a match that way. The type of robot that score well in autonomous and end games and play good defense in the middle will usually have a decent OPR. However their CCWM will be high because they will contribute to a big point differential. That is why I use CCWM to prescreen 2nd round pick and I never pick a team in the second round with negative CCWM. We do not use strictly OPR or CCWM to pick teams. Last edited by Ed Law : 26-03-2013 at 01:46. |
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#37
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Re: Alliance Selection Strategy
Nor do I--but this year and in 2012, fouls committed by the opposing alliance add to your score. (I've actually seen matches--albeit not elim matches--won this way.)
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#38
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Re: Alliance Selection Strategy
Ha ha, I forgot about that. A team that is good at getting the other alliance commit foul and get a certain number of points will have the same OPR as another team who actually score those points.
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#39
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Re: Alliance Selection Strategy
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#40
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Re: Alliance Selection Strategy
Ed,
first of all, thanks for posting the OPR data week after week, year after year. More than anything, I find it useful to see how robots have done AFTER tournaments.....especially if our team is competing the same weekend (not being able to watch other webcasts). Nothing beats the good 'ole fashion way of scouting by watching robots in matches. In recent years, we have either been the #1 seed or picked by the #1 seed most of the time which has kept us busy on friday evenings after event socials. We always look for robots that either best complement our strategy OR robots that we dont want to face in eliminations the most. In this year's game, if we went to a regional where we were the best shooter far and above the second best shooting robot, I would NOT consider finding the second best shooter at the tournament......but instead, look if there is a 50 point climb/dumper robot (even if that is all they do!). With that kind of combination, it would be hard pressed for any opposing alliance to overcome.....assuming autonomous points are equal and full court shooters can be blocked. I beg to differ that 30 point climbing even if it takes 1 minute, doesnt make a difference. At many regionals this year, selecting a 30 point climber CAN make a difference. Or, it can be a pain to try and overcome if climbers are on the opposing alliance. |
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#41
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Re: Alliance Selection Strategy
Okay, thanks for clearing that up. It helps a lot.
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#42
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Re: Alliance Selection Strategy
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#43
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Re: Alliance Selection Strategy
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#44
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Re: Alliance Selection Strategy
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#45
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Re: Alliance Selection Strategy
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I expect there to be a good number (maybe 10 or more?) of robots at the championship event that will find themselves in the top 8 in each division, even though they'll be middle of the pack in OPR. Their strategy should be to pick the two best offensive robots they can, so that the alliance captain in effect becomes the 3rd bot for defense. OPR in this case would be a good tool for them to help rank teams. Also, depending on the team's strengths, an alliance of 3 offensive capable bots could be more effective than an alliance of 2 offensive capable bots and 1 defensive only bot. If this is a team's strategy, OPR is a good tool to help rank teams (or at least identify 20-30 teams to focus on in scouting instead of 90+). |
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