College application research evidence · understanding and original contribution · Seoul and online
Project courseThe student keeps the work and the record they made.
Open Match Data: Build a Shot and Pass Analysis App
Grades 9-12: where shots are taken from, pass networks...
- Free consultation and level check
- Apgujeong classroom or online
- One-to-one or small group
- Registered academy no. 11882
Is Open Match Data: Build a Shot and Pass Analysis App a good fit for high school students in Grades 9-12?
Open Match Data: Build a Shot and Pass Analysis App is a good fit for students in grades 9-12 who are interested in where shots are taken from and pass networks. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make an event data dictionary, shot maps and pass networks, and a Streamlit match app with a sourced report.
After choosing one football question and a reference match, students trace how StatsBomb open data links competition, match, and event JSON files. They flatten pass and shot events into tables, report counts and success rates with their denominators, and draw shot maps, pass maps, and pass networks. Variables such as distance and angle are then tested on data split by whole matches, and the analysis becomes a Streamlit app for choosing a match, team, or player, with a GitHub report that credits StatsBomb as the source. The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits.
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My child found the AI classes interesting and stayed with them. It made for a worthwhile school break. Thank you for teaching so attentively.
- Age group
- Grades 9-12
- Academic subject
- AI & DataBrowse subject
- Course type
- Course
- Format
- Online or Apgujeong in person · one-to-one or small group
- Teaching language
- Korean by default, with complete English materials
- Curriculum status
- Lesson-readyEvery learning item includes the evidence, worked example, practical work, and tutor guidance required by CIT's lesson-ready standard.
From open research to student-owned work
Students inspect a relevant public source, reproduce the idea, then add an original question, feature, or test. Every source is public, and each lesson names the exact page it opens.
How can I explain this course to my child?
If questions about where shots are taken from or pass networks keep making you ask why, Open Match Data: Build a Shot and Pass Analysis App lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- where shots are taken from
- pass networks
- match event data
What does the student finish?An event data dictionary, shot maps and pass networks, and a Streamlit match app with a sourced report.
Is this a good fit?
A strong fit for students who want to understand, build, test, or responsibly use AI systems.
Course placement follows current subject and coding readiness.
Students should be ready to document sources, methods, and limits.
Advanced tools are introduced after a clear baseline.
What will my child learn?
- Explain how competition, match, lineup, and event JSON files connect, and load only the matches needed.
- Calculate shot and pass counts and success rates with their denominators, and show them as shot maps and pass networks.
- Split training and validation data by match and evaluate wrong cases and match-to-match differences, not only accuracy.
- Build a web app that recalculates metrics and pitch graphics for the selected match, team, player, and time range.
How does the course progress?
- 1Questions and Match Data
Set a football question and reference match, turn the event JSON into tables, and build a data dictionary by event type.
- 2Basic Metrics and Pitch Graphics
Filter events by team, player, and half to compare numbers, and draw pitch graphics with direction, legend, and sample size.
- 3Analysis Models and Evaluation
Build distance and angle variables and check predictions or comparisons on data split by match.
- 4Web App and GitHub Deliverables
Build an app for choosing a match, team, and player, and write a README and report with run steps and sources.
What counts as useful evidence?
An event data dictionary, shot maps and pass networks, and a Streamlit match app with a sourced report.
What should an admissions reader be able to see?
The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits.
Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
The evidence an application reads is what the student understood, completed, and can explain.
The real research project this course reads
- hudl/open-data
- pinned commit
b0bc9f22dd77 - licence StatsBomb Open Data terms
- text files 8,979
The student decides what to count in public football records and sees that changing the definition changes the conclusion. In class the project is separated into five boxes (input, memory, process, output, control). The lesson opens one of them, changes one value, and leaves the rest closed.
- InputWhat comes in?
Choosing a match from the competition list and opening that match's event file
- Memoryopened hereWhat persists?
One match written down as a list of events. What counts as a pass, and where one event ends, is already decided here
- ProcessWhat transforms?
Counting and grouping events into metrics. This does not exist in the repository; the student writes it
- OutputWhat leaves, and who uses it?
The tables and charts that compare players and teams, built by the student
- ControlWhat decides when anything runs?
What decides which match is read again and when; it lives in the student's program
The files the lesson opens, by name. The course is not a walk through the repository; it opens a chosen few and says which.
One value moves and everything else stays. The right-hand column is the prediction written before the run, not a result; the work is reconciling the two.
On a narrow screen, swipe the picture sideways.
The universities and labs named here made the open projects this course reads. CIT designed the course independently; it is not an official, affiliated, or endorsed course.
Which sources were reviewed?
Catalog reviewed: 2026-09-30
Questions parents search before choosing this course
Is Open Match Data: Build a Shot and Pass Analysis App a good fit for high school students in Grades 9-12?
Open Match Data: Build a Shot and Pass Analysis App is a good fit for students in grades 9-12 who are interested in where shots are taken from and pass networks. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make an event data dictionary, shot maps and pass networks, and a Streamlit match app with a sourced report.
Can my child take Open Match Data: Build a Shot and Pass Analysis App online or in person, one-to-one or in a small group?
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A readiness consultation confirms the available format and starting point for the course.
Does my child need prior subject knowledge or coding experience for Open Match Data: Build a Shot and Pass Analysis App?
Course placement follows current subject and coding readiness. Students should be ready to document sources, methods, and limits. Advanced tools are introduced after a clear baseline.
What will my child make or practice in Open Match Data: Build a Shot and Pass Analysis App?
The main evidence is an event data dictionary, shot maps and pass networks, and a Streamlit match app with a sourced report. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can a student describe work from Open Match Data: Build a Shot and Pass Analysis App in a college application?
The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
How are the schedule and tuition for Open Match Data: Build a Shot and Pass Analysis App determined?
CIT confirms the student's readiness, goal, location, class size, and current availability before recommending a course plan. The consultation and level check are free; tuition is explained before enrollment.
When should a student start?
There is no fixed intake month. CIT reviews the student's current school term, readiness, and available hours, then names the point in the course where they should begin.
I appreciated that a simple early idea was extended into an 'AI debate tool'. My child has always been interested in debate and social issues, so seeing that interest connect to the project makes me expect a more complete and distinctive result.
Where else parents check CIT
Choose the course after a readiness check
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