Houston World Championship Informational Match Data for Days 1,2,3 (Matches 1-180) 2018-19:
1-180fandjinfo | |
File Size: | 3831 kb |
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Both Jemison and Franklin Divisions.
This data should serve as a purely informational source that is understood to still be missing certain individual match data and containing minute scoring errors (missing minerals, etc.) The way that our scouring system is currently designed, it is incredibly difficult to accurately score matches from sitting far away in the stands, or worse, from a live stream that doesn't consistently show the field.
With those disclaimers in mind, we still think that this is a valuable resource for teams to look at to see what a quantitative resource for informed alliance selection can look like, and how random the match schedules truly are. Treating this as a stepping stone along our further journey to make objective robot judging an open and collaborative resource, we fully acknowledge the errors contained within, yet also stand behind the usefulness of the data. There is still signal, even among some noise.
DISCLAIMER: As always, this is a community effort that is not officially sponsored by FIRST in any ways. If you feel that the data misrepresents or misportrays your team, feel free to come talk to us and become involved in our collaborative scoring efforts so that we can improve objectivity in FTC robot scoring for all.
This data should serve as a purely informational source that is understood to still be missing certain individual match data and containing minute scoring errors (missing minerals, etc.) The way that our scouring system is currently designed, it is incredibly difficult to accurately score matches from sitting far away in the stands, or worse, from a live stream that doesn't consistently show the field.
With those disclaimers in mind, we still think that this is a valuable resource for teams to look at to see what a quantitative resource for informed alliance selection can look like, and how random the match schedules truly are. Treating this as a stepping stone along our further journey to make objective robot judging an open and collaborative resource, we fully acknowledge the errors contained within, yet also stand behind the usefulness of the data. There is still signal, even among some noise.
DISCLAIMER: As always, this is a community effort that is not officially sponsored by FIRST in any ways. If you feel that the data misrepresents or misportrays your team, feel free to come talk to us and become involved in our collaborative scoring efforts so that we can improve objectivity in FTC robot scoring for all.
Houston World Championship Match Data for Days 1 + 2 (Matches 1-104) 2018-19:
franklinworlds1-104.pdf | |
File Size: | 809 kb |
File Type: |
jemisonworlds1-104.pdf | |
File Size: | 805 kb |
File Type: |
networldsscouting1-104.pdf | |
File Size: | 1365 kb |
File Type: |
This data includes both the Franklin and Jemison Divisions, scored individually per robot, not per alliance. If you know about OPR, this is the measured version of that, not the calculated version. Please note that not all pit scouting data has been imported yet (there are 160 teams to talk to, after all), so the Scouting vs. Performance graph is not quite up to snuff. If you are interested in our scouting process or would like to see more graphs/raw data, please visit us at our pit in the Franklin Division.
This specific data has been more-rigorously combed over than the set found above. The entire team worked until 2 or 3 am rescoring match inconsistencies from the live stream, and thus we feel confident in this data set.
This is a collaborative effort! In the spirit of Gracious Professionalism and increasing the access to per-robot data in order to raise the caliber of alliance selection decisions, along with the goal of increasing the objectivity of FTC, we have worked together with 10 other teams from the Pacific Northwest to score matches. Special thanks to the following teams:
Disclaimer: Our goal with this operation is to bring more objectivity into alliance selections. However, teams should always use a multitude of factors and never rely on a single source of data to make these selections.
This specific data has been more-rigorously combed over than the set found above. The entire team worked until 2 or 3 am rescoring match inconsistencies from the live stream, and thus we feel confident in this data set.
This is a collaborative effort! In the spirit of Gracious Professionalism and increasing the access to per-robot data in order to raise the caliber of alliance selection decisions, along with the goal of increasing the objectivity of FTC, we have worked together with 10 other teams from the Pacific Northwest to score matches. Special thanks to the following teams:
- 417 SKID
- 2856 Tesseract
- 6559 Geared Reaction
- 8099 Hanford Falcons
- 8923 Perpetual Velocity
- 11089 Bytes of Kitkats
- 11138 RoboEclipse
- 12611 TechNova
- Ines from 3491 FIX IT
Disclaimer: Our goal with this operation is to bring more objectivity into alliance selections. However, teams should always use a multitude of factors and never rely on a single source of data to make these selections.
Qualification Match Data for 2018-19:
Brattain Leagues
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