Scouting: Difference between revisions
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**gather scouting data on other teams online | **gather scouting data on other teams online | ||
**RiD3 | **RiD3 | ||
**verify and adjust our | **verify and adjust our assumptions | ||
**train scouts | **train scouts | ||
*Match - scout team: | *Match - scout team: | ||
**input method should be reliable and simple to use and understand | **input method should be reliable and simple to use and understand | ||
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**gather feedback from drive team immediately after match | **gather feedback from drive team immediately after match | ||
*Match - additional data: | *Match - additional data: | ||
**incorporate BlueAlliance | **incorporate BlueAlliance data | ||
<br /> | <br /> | ||
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====Data Storage==== | ====Data Storage==== | ||
*Select data storage | *Select data storage methods that supports Data Collection and Analysis | ||
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Revision as of 23:10, 26 January 2020
2019 Competition Objective
Collect and provide accurate, up-to-date, relevant data to scouting and drive teams for (1) game strategy and (2) draft selection
- Keep things simple and focus on data that is usable, easy to understand, accurate, easy to gather and supports the underlying strategic initiatives
Data Collection
- Pre-Season, week 0 matches, etc.
- read rules and competition guides. Re-read, summarize, extract key points, and test team members on their knowledge. Team 1678 has a skills test.
- gather scouting data on other teams online
- RiD3
- verify and adjust our assumptions
- train scouts
- Match - scout team:
- input method should be reliable and simple to use and understand
- ensuring that all scouts are collecting data consistently
- ensuring that all scouts are paying attention to the matches
- flexibility for ad-hoc, unstructured text should be supported but minimized.
- gather feedback from drive team immediately after match
- input method should be reliable and simple to use and understand
- Match - additional data:
- incorporate BlueAlliance data
Data Storage
- Select data storage methods that supports Data Collection and Analysis
Data Analysis
- analysis methods and algorithms should ultimately support
- match strategy
- coordinate with alliance team members with match-specific strategy that can actually be accomplished. Focus on a few, for example 3 clear objectives that can actually be accomplished in-game
- draft selection
- draft order is the ultimate decision point - focus on teams that complement our skills and maximize alliance scoring
- match strategy
Strategy and Drive Team
Strategic Objectives and supporting data points
| Team Strategic Objective | Strategy Specific | Drive Team Specific | Supporing Data |
|---|---|---|---|
General Strategic Goals and Supporting Data for Any Season
- Speed
- Agility
- Scoring
- method 1
- method 2
- method 2
- Strengths
- Weaknesses
- Complementary Skills
2020 and Onward
- Develop Scouting App
- Improve data collection
- Build software development and data analysis skills