Wavesteam
HomeAll case studiesBook a consultation

CASE STUDY · BADMINTON ANALYTICS

Badminton Analytics Platform Case Study: How to Turn Match Footage into Actionable Training Decisions?

A WeChat mini program for competitive content and coaching: match discovery, round-level metrics, movement heatmaps, and personal collections—so teams stop watching entire tapes and start reading the match.

badminton analyticsmatch review mini programmovement heatmaprally metricsWeChat login
Share your ideaSee the review workflow
Discover → Measure → Replay
2025.06.28MS R16

Close game

Malaysia Open · intensity-led pick

Intensity7.4
TempoMarathonEven
Player A2 : 0Player B
Intensity7.4/10
Set viewPer game
Heat ralliesStepthrough
Badminton analytics mini program home

WHY IT WAS NEEDED

When the calendar fills up, watching the full tape no longer counts as review

Tours, opens, and practice matches generate video every day. Coaching and content teams are not short of footage—they lack a structured entry to high-value matches, shared rally definitions, and a way to show where players actually covered the court.

Scattered tapes
MP4
Live
Chat
06.28Intensity pick
2 : 0

Match intake

The matches that matter live in livestreams and group files

Without intensity scores, round tags, and score summaries, staff pick games by memory. Editors cannot run a stable post-match slate.

Review starts with hunting files instead of choosing a match worth the hour.

No shared terms
Feel
SR
226
Val
226
Multi
226
Key
226

Rally language

Serve-return, multi-shot, and clutch points mean different things in the same room

Without whole-match and per-set panels, training plans cannot lock to one set of numbers, and athletes cannot see which rally type they lost.

Experience never becomes a session plan.

CoverageHot half

Court coverage

The score is known; the hot zones are not

Broadcast follow-cams do not show distance, coverage, or density. Multi-shuttle drills stay habitual instead of matching the opponent’s pressure half.

If the track is invisible, practice repeats volume instead of the right patch of court.

Lost after watch
★
Saved
★
Saved
★
Saved

Assets

Once watched, the match disappears

Favorites, profile, phone binding, and the user agreement are missing, so membership and content operations have nowhere to land.

Without an account and collections, the product is a one-off player, not a library.

Match content serves training only when discovery, measurement, trajectory, and retention share one product path—not another video player.

HOW WE RETHINK IT

We redesigned how a match is worked, not how a player is skinned

Replace “open the tape, talk from memory, screenshot the group” with “find a high-value match, read metrics by set, step through heatmaps, save to a personal library.”

Tape first
Hunt files in livestreams and drives
Watch the full match to find the set
Verbal review with no shared terms
Screenshots vanish the next day

Tape-first review

Hunt files in livestreams and drives → Watch the full match to find the set → Verbal review with no shared terms → Screenshots vanish the next day

Review loop
1Recommend and search the slate
2Intensity tags and score recap
3Whole-match and per-set metrics
4Rally-level trajectory heat
5Save into personal collections

Digital review

The same data serves coaching review and editorial selection without duplicated labor.

WHAT WE BUILT

One mini program covering the path from finding a match to reading it

The product sells an operable review loop: find the match, read the numbers, see the movement, keep the asset—not a catalog of screens.

Picks
06.28Close game
06.28Close game

01 Discovery and recommendations

Home cards surface recommended and recent matches with date, round, event, intensity, and score so users spend time on games that matter.

Programming starts on the home feed, not in a chat archive.

Search
Event name
MSWSR16

02 Search and schedule filters

The match list searches by event name and filters the slate. Cards keep tags, intensity, and results consistent for historical retrieval.

The archive is operable, not a dump of files.

Set metrics
AllS1S2S3
SR
226
Valid
226
Multi
226
Key
226

03 Set-level metric drill-down

Match analysis switches whole-match and per-set views: serve-return, valid, multi-shot, and clutch rallies, with overview and trajectory entry points.

The room argues from one shared language.

Rally 12/2612 / 26

04 Trajectory and heatmaps

Trajectory analysis pages through rallies and shows movement density, turning “they ran a lot” into a visible half-court map.

Sessions can target hot zones instead of the whole court.

Collections
★Match A
★Match B
★Match C

05 Account, favorites, and terms

Profile manages avatar, nickname, and phone; collections and the user agreement support return visits and compliant use.

Watched matches become a personal library.

IF THIS SOUNDS FAMILIAR

If these are your constraints, this pattern likely fits

You do not need a national team first. Any organization sitting on match video and wanting viewing to become reusable training or editorial assets can map itself here.

Which match?
Guess
7.4

You publish match content every day, but no one knows which tape to open first?

Lead with recommendation cards, intensity, and round tags so “worth watching” is the default path.

Same language?
Feel
S1S2S3All

Review meetings disagree on clutch points, then fail to schedule the next session?

Put serve-return, valid, multi-shot, and clutch rallies on a per-set panel so discussion lands on numbers.

Where crushed?
Back court

Athletes cover ground but cannot say which patch of court crushed them?

Step through rally heatmaps so coverage becomes a spatial fact.

Keep it?
★
★
★

Great matches vanish after one watch?

Keep them in collections under an account so the library is visitable.

HOW IT WORKS

From opening the mini program to saving a match you can review

The journey is a business sequence: discover, search, read metrics, inspect heat, keep it under Me. Each step is evidenced by a real screen.

Review path
  1. 01 Lock today’s high-value match
  2. 02 Search the historical slate
  3. 03 Read detailed metrics by set
  4. 04 Page through trajectory heat
  5. 05 Save it to the profile
Match recommendations and recent analysis

Lock today’s high-value match

Discover, measure, track, retain—coaches and editors share one viewing path.

Match recommendations and recent analysis

Lock today’s high-value match

Start from recommendations and recent analysis: intensity, tags, and score before you commit the hour.

Match list search and filters

Search the historical slate

Open the match list, search by event, and filter rounds with consistent card information.

Detailed metrics and set switching

Read detailed metrics by set

Switch whole-match and per-set views for serve-return, valid, multi-shot, and clutch rallies.

Movement heatmap and rally paging

Page through trajectory heat

Enter trajectory analysis and step rallies to see where coverage concentrates.

Profile and collections

Save it to the profile

Manage profile, phone, favorites, and terms so the match stays in the account.

HOW IT IS BUILT

The mini program layers login, search, metrics, and visualization for later growth

WeChat authorization and SMS keep identity usable. Match search supports operations. Metrics and trajectory split by match, set, and rally so radar charts and other sports can plug in later.

Architecture

The WeChat mini program is the primary surface. Identity handles authorization and phone numbers. Content carries lists, recommendations, and favorites. Analysis emits metrics and heat by match, set, and rally, with room for radar views and additional sports.

Client experience

WeChat mini program · Three-tab navigation · Card-based match info

Mini program
HomeMatchesMe

Identity and terms

WeChat auth · SMS verification · User agreement

Identity
WeChat
SMS
Terms

Match retrieval

Name search · Time filters · Round and event tags

Retrieval
Name
DateRound

Analysis views

Set metrics · Intensity index · Movement heatmap

Analysis
MetricsHeatSets

Keywords

badminton analyticsmatch review mini programWeChat loginrally metricsmovement heatmaptrajectory analysismatch searchintensity index

WHAT WAS DELIVERED

From a review idea to a running product

Delivery is a verifiable loop: sign in, find a match, read metrics, see heat, and return via favorites. Unauthorized performance figures are not claimed.

Slate live
Home
List

Discovery and lists are operable

Home recommendations and the match list ship search, filters, intensity, and score recap so editors can keep a slate.

Shared metrics
AllS1S2
226
226
226
226

Single-match analysis shares one language

Whole-match and per-set switching, detailed metrics, and trajectory entry are connected so review meetings land on the same numbers.

Heat by rally12/26

Heatmaps page by rally

Trajectory analysis supports rally paging and heat so sessions can target coverage, not only the scoreline.

Return path
★Saved
★Saved
★Saved

Account and collections enable return visits

Profile, phone, favorites, and terms give the platform a basis for ongoing use rather than a one-off browse.

WHERE ELSE IT FITS

Where else does this pattern travel?

Net sports, video-heavy academies, and content teams that want viewing to become a product can reuse discover–measure–track–retain.

Table tennis and tennis

Opens and tours need the same search, set metrics, and placement heat.

Table tennis
SearchSetsHeat

Youth academies

Turn practice matches into reviewable metric sessions instead of raw links.

Tennis
TourServeZones

Clubs and venues

Recommendations and collections support member viewing nights.

Academies
YouthReviewDrill

Sports media

Intensity tags and close-game picks stabilize post-match programming.

Clubs
MembersPicksSave

Other skill assessments

If a process splits into rallies and coverage, the same views travel.

Media
SlateTagsStories

Talk about your product

Ship one “read the match” loop first—not a pile of screens

Turning large volumes of match video into sessions or a content slate? What to decide first is usually not which tab to build—it is how to surface the right matches, read metrics by set, compare movement, and save for return visits.

  • Discovery · filtersWhich matches enter analysis
  • Metrics · setsWhat data drives decisions
  • Track · saveHow review compounds

Bring one real schedule and tell us what coaches, athletes, or readers should see first.

Start the conversationBrowse more cases

Related cases

More case studies

Other projects delivered by Wavesteam — AI, IoT, platform builds and enterprise software.

  • Exam Management Platform Case Study: How to Connect Enrollment, Delivery, Scores, and Certificates?

    Exam Management Platform Case Study: How to Connect Enrollment, Delivery, Scores, and Certificates?

    Web portal for exam organizers: enrollment and payment, notices and start, score and certificate query, personal-center verification, and partner content—turning sittings from files and chats into a governed digital loop.

    Read the case study→
  • Listening Device Mini Program Case Study: How to Connect Binding, Learning Data, and Account Care?

    Listening Device Mini Program Case Study: How to Connect Binding, Learning Data, and Account Care?

    WeChat mini program for listening-learning hardware: scan bind and unbind, module toggles, weekly duration and daily listening, netdisk bind and personal center—turning a device from verbal management into a loop that runs on the phone.

    Read the case study→
  • Recycled Metal Trading Platform Case Study: How Buyers Reach Seller Offers and Close Financed Quotes?

    Recycled Metal Trading Platform Case Study: How Buyers Reach Seller Offers and Close Financed Quotes?

    Buyer-first recycled-metal marketplace: seller offers and inquiries, LME tape, financed quote review, organization invites and service tickets—turning sourced lots from chat forwards into an operable buyer desk.

    Read the case study→
Engineering Delivery

Bring us a concreteengineering problem, and we’ll start with the systems, data, interfaces, and delivery constraints that shape the answer.

These projects usually involve business systems, device integration, AI workflows or multi-role back-offices. We assess feasibility against real delivery constraints and give recommendations close to the implementation stage.

Business email
contact@wavesteam.com
Office
10F, South Tower, Kingkey Yujing Times, Longgang District, Shenzhen

By submitting, you agree we'll use your information only for this consultation — never for unrelated marketing.

Wavesteam

Wavesteam ships production-grade AI software for B2B teams — mini programs, business systems, AI workflows, industry platforms and long-term engineering support.

Contact
© 2026 Wavesteam Technology. All rights reserved.
Email：contact@wavesteam.comOffice：10F, South Tower, Kingkey Yujing Times, Longgang District, Shenzhen