DurhamAcademy/ChocoChipScouting
Jan 2025 – Jan 2025
1 Month active
Languages Used
TypeScriptVue
Technical Skills
Frontend DevelopmentNuxt.jsVue.js
26wilber
PROFILE
26wilber
Wilber developed a detailed Predictions Page score breakdown for the DurhamAcademy/ChocoChipScouting repository, focusing on enhancing the analytical depth of match predictions. He refactored the frontend using Nuxt.js and Vue.js, integrating TypeScript to render a table that displays individual phase scores—Auto, TeleOp, and End Game—sourced directly from scoreMatch.ts. This replaced the previous approach of showing only a total score, resulting in more accurate and maintainable data flow. By enabling users to view granular match phase analytics, Wilber’s work improved the platform’s support for data-driven scouting decisions and facilitated easier debugging and traceability of prediction results.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
163
Activity Months1
Your Network
9 peopleSame Organization
@da.org1
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered granular predictions insight for DurhamAcademy/ChocoChipScouting by adding a Predictions Page Detailed Score Breakdown by Match Phase. The UI now presents per-phase scores (Auto, TeleOp, End Game) sourced from scoreMatch.ts, replacing reliance on a single total score. This work, anchored by commit 544f165ca1263fa745afab41e1a980bdbacc09e2, enhances analytical clarity and supports data-driven scouting decisions. No major bugs were reported this month; the focus was feature delivery, code quality, and maintainability. Impact: improved user decision-making through granular analytics, better debugging and traceability of scores, and a cleaner data flow. Technologies/skills demonstrated: TypeScript, frontend UI/table rendering, integration with scoreMatch.ts, and commit-driven refactoring.
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered granular predictions insight for DurhamAcademy/ChocoChipScouting by adding a Predictions Page Detailed Score Breakdown by Match Phase. The UI now presents per-phase scores (Auto, TeleOp, End Game) sourced from scoreMatch.ts, replacing reliance on a single total score. This work, anchored by commit 544f165ca1263fa745afab41e1a980bdbacc09e2, enhances analytical clarity and supports data-driven scouting decisions. No major bugs were reported this month; the focus was feature delivery, code quality, and maintainability. Impact: improved user decision-making through granular analytics, better debugging and traceability of scores, and a cleaner data flow. Technologies/skills demonstrated: TypeScript, frontend UI/table rendering, integration with scoreMatch.ts, and commit-driven refactoring.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
TypeScriptVue
Technical Skills
Frontend DevelopmentNuxt.jsVue.js
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